{"meta":{"query_hash":"d0bcfb757983","filters":{"topic":"Financial Markets and Investment Strategies"},"cohort_total":3747,"direct_labels_cover":0,"predictions_cover":3747,"exported":3747,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/d0bcfb757983","api":"https://metacan.xera.ac/api/v1/cohort?topic=Financial+Markets+and+Investment+Strategies"},"results":[{"id":"W10503743","doi":"10.2139/ssrn.2567016","title":"High Frequency Market Making to Large Institutional Trades","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":97,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; High-frequency trading; Finance; Market liquidity","score_opus":0.028677409789380003,"score_gpt":0.22870764510679809,"score_spread":0.2000302353174181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W10503743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8741445,0.00024327377,0.034777552,0.001955362,0.00015838887,0.000070773895,0.000106066014,0.00023121723,0.08831289],"genre_scores_gemma":[0.99392843,0.0000648823,0.0009399556,0.000067625704,0.000099212506,0.000008861717,0.000022654063,0.0000185065,0.0048500123],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992605,0.0001995798,0.000024880268,0.00015785199,0.00013447863,0.00022273356],"domain_scores_gemma":[0.99404424,0.0027143534,0.0012639583,0.00087078393,0.00048424982,0.00062244583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011210851,0.00023860949,0.00050814194,0.0011699883,0.0011055387,0.0038325419,0.0006699118,0.0017301306,0.024347167],"category_scores_gemma":[0.015693422,0.0002616599,0.0004213652,0.00081806415,0.0014447393,0.0034963624,0.0014550567,0.0015348493,0.0013979577],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089796114,0.0007074775,0.03437431,0.00020112078,0.0001395438,0.0027278927,0.002314256,0.033655964,0.013073027,0.78619117,0.011815177,0.11390211],"study_design_scores_gemma":[0.00012437596,0.00028066404,0.03820129,0.000052054515,0.00010773958,0.0009244525,0.004935334,0.0872007,0.002988226,0.850479,0.014647197,0.00005898026],"about_ca_topic_score_codex":0.0009460327,"about_ca_topic_score_gemma":0.0010138975,"teacher_disagreement_score":0.024347167,"about_ca_system_score_codex":0.00070532697,"about_ca_system_score_gemma":0.00037268118,"threshold_uncertainty_score":0.08144933},"labels":[],"label_agreement":null},{"id":"W107399445","doi":"10.1504/jbm.2008.141165","title":"On the Predictability of Stock Market Returns: Evidence from Industry-Rotation Strategies","year":2008,"lang":"en","type":"article","venue":"Journal of business and management.","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Econometrics; Capital asset pricing model; Estimator; Economics; Predictability; Portfolio; Stock (firearms); Rate of return; Financial economics; Mathematics; Statistics; Finance; Engineering","score_opus":0.055064045297709814,"score_gpt":0.22681084256250492,"score_spread":0.1717467972647951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W107399445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950937,0.00045615045,0.0021411662,0.00027187497,0.000006198917,0.000008745509,0.0000856933,0.0000254592,0.001910984],"genre_scores_gemma":[0.9992531,0.00023931543,0.00020007456,0.000019567582,0.00001043489,0.0000020216576,0.00013185032,0.000004214183,0.00013938473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992986,0.00031784238,0.000056768597,0.00011019993,0.00014600149,0.00007050193],"domain_scores_gemma":[0.93708,0.04766393,0.009056869,0.003991761,0.0014125202,0.00079490605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004402731,0.00024303557,0.00033253198,0.00087706075,0.00026044232,0.0010325266,0.00040451984,0.00043478986,0.0023011325],"category_scores_gemma":[0.046262614,0.0002035791,0.0004552018,0.00082452653,0.0006876217,0.0010301081,0.0006452334,0.00057903776,0.0005641067],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008100271,0.00033859292,0.8976443,0.00006844264,0.00039541605,0.00022913773,0.00038336715,0.025905164,0.0007879676,0.0066141337,0.00085141533,0.06597191],"study_design_scores_gemma":[0.00017110346,0.0009849072,0.79755586,0.00005520978,0.00027264742,0.0003573471,0.00047275177,0.16776612,0.0012430835,0.029283788,0.001775778,0.00006144945],"about_ca_topic_score_codex":0.0021653962,"about_ca_topic_score_gemma":0.0015410159,"teacher_disagreement_score":0.004402731,"about_ca_system_score_codex":0.00023649835,"about_ca_system_score_gemma":0.00033492997,"threshold_uncertainty_score":0.023284137},"labels":[],"label_agreement":null},{"id":"W1150869613","doi":"10.1093/rapstu/rav010","title":"Heterogeneous Innovation, Firm Creation and Destruction, and Asset Prices","year":2015,"lang":"en","type":"article","venue":"The Review of Asset Pricing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Asset (computer security); Incentive; Creative destruction; Productivity; Capital asset pricing model; Consumption (sociology); Financial innovation; Economics; Sample (material); Industrial organization; Monetary economics; Business; Microeconomics; Financial economics; Market economy; Finance; Macroeconomics","score_opus":0.08200418765219492,"score_gpt":0.30469115536240976,"score_spread":0.22268696771021484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1150869613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81830615,0.004887354,0.13742204,0.0064409883,0.000112018475,0.000057438294,0.00027403035,0.000098273544,0.03240168],"genre_scores_gemma":[0.99302626,0.0013724732,0.0022446362,0.0000749113,0.00007684509,0.000017490282,0.00004216583,0.0000066523266,0.0031385347],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995727,0.00016989005,0.000019547297,0.000088630215,0.00005409771,0.0000951052],"domain_scores_gemma":[0.993956,0.003886102,0.001420204,0.0002480442,0.00019068786,0.00029900874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014173823,0.00045078737,0.00077617355,0.0007568723,0.00054879196,0.0028243354,0.0009381384,0.002222544,0.0038137943],"category_scores_gemma":[0.010162844,0.0003536149,0.0008249277,0.0009984005,0.0019594661,0.0035043808,0.00084174116,0.0018224934,0.00032515917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013639724,0.00019646768,0.019278124,0.00011475607,0.00019728836,0.00084987987,0.00033337876,0.2353102,0.0015529033,0.71476704,0.0024053007,0.024858262],"study_design_scores_gemma":[0.00007665673,0.00009592021,0.010361024,0.000041224488,0.00008157608,0.00021173133,0.00016827555,0.34072116,0.0005078734,0.6450401,0.002644091,0.000050331095],"about_ca_topic_score_codex":0.0031315398,"about_ca_topic_score_gemma":0.0021574046,"teacher_disagreement_score":0.0038137943,"about_ca_system_score_codex":0.0016478546,"about_ca_system_score_gemma":0.00058968045,"threshold_uncertainty_score":0.012758434},"labels":[],"label_agreement":null},{"id":"W1163307935","doi":"10.2139/ssrn.2625614","title":"Can Anomalies Survive Insider Disagreements?","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Insider; Business; Political science; Law and economics; Law; Economics","score_opus":0.03460099516582566,"score_gpt":0.21904474512797825,"score_spread":0.1844437499621526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1163307935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84225076,0.0011711856,0.06279974,0.03352494,0.0009199731,0.000046296114,0.0006734709,0.0011542747,0.057459407],"genre_scores_gemma":[0.99541783,0.0001625273,0.0011025696,0.00044477536,0.00040565542,0.0000075952275,0.00009385489,0.00011031001,0.0022548214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99689543,0.0008342119,0.00019593007,0.000805381,0.0006099742,0.00065898197],"domain_scores_gemma":[0.94056714,0.027187012,0.015484407,0.010838235,0.0034213052,0.0025019564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007625134,0.00041928125,0.0017417006,0.0013687778,0.0012717678,0.0060400576,0.001474136,0.005962756,0.012463773],"category_scores_gemma":[0.09958677,0.0005200035,0.0006351767,0.0013682462,0.0032625953,0.014785629,0.002779961,0.004747173,0.0025451353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086519524,0.00018484987,0.11189433,0.00021395304,0.00033556236,0.0032842932,0.0033828097,0.017022043,0.003344303,0.74748176,0.022907397,0.089083515],"study_design_scores_gemma":[0.0000804507,0.00009914507,0.02139184,0.000044782253,0.00008626706,0.0008267642,0.0015741579,0.037785772,0.0009321144,0.92962575,0.0074904286,0.000062555475],"about_ca_topic_score_codex":0.0009563476,"about_ca_topic_score_gemma":0.0005334871,"teacher_disagreement_score":0.012463773,"about_ca_system_score_codex":0.000977195,"about_ca_system_score_gemma":0.00070991565,"threshold_uncertainty_score":0.041695476},"labels":[],"label_agreement":null},{"id":"W1164231334","doi":"10.2139/ssrn.2417091","title":"Investor Attrition and Mergers in Mutual Funds","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Financial system; Attrition; Mergers and acquisitions; Accounting; Monetary economics; Finance; Economics; Medicine","score_opus":0.016911733717466376,"score_gpt":0.19665446377209098,"score_spread":0.1797427300546246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1164231334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940088,0.0010848949,0.0004800692,0.002250334,0.000019468936,0.000013430792,0.00005502026,0.000011472867,0.0020764489],"genre_scores_gemma":[0.99771595,0.00021505347,0.00004830743,0.00009866196,0.000054296877,0.0000049713435,0.00004761881,0.0000022571417,0.0018128733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977011,0.000780799,0.0001555397,0.00014568664,0.00024658834,0.00097026903],"domain_scores_gemma":[0.9477356,0.020829303,0.024917811,0.0009202615,0.0015876199,0.00400938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069346707,0.0001870581,0.0006296935,0.0007742414,0.0011564614,0.0029640095,0.00076391373,0.002465172,0.006937817],"category_scores_gemma":[0.050137267,0.00022607583,0.00051123917,0.00089209777,0.0009737492,0.0022317616,0.001956934,0.0022439533,0.0006516877],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027164815,0.0005682993,0.93279034,0.00007343371,0.00013953648,0.0012409803,0.0016135024,0.0029866442,0.00038400522,0.017170697,0.003244763,0.037071273],"study_design_scores_gemma":[0.0002542251,0.0013170654,0.92219067,0.00019394765,0.00046044885,0.0015704479,0.010320236,0.024459578,0.0014951287,0.03175932,0.0058995374,0.000079293044],"about_ca_topic_score_codex":0.005383207,"about_ca_topic_score_gemma":0.008498155,"teacher_disagreement_score":0.006937817,"about_ca_system_score_codex":0.001436185,"about_ca_system_score_gemma":0.0013066449,"threshold_uncertainty_score":0.0366745},"labels":[],"label_agreement":null},{"id":"W1179564666","doi":"10.2139/ssrn.2630662","title":"Foreign Exchange Markets with Last Look","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Foreign exchange; Business; International economics; Economics; Monetary economics","score_opus":0.022665648246158163,"score_gpt":0.19930174827434857,"score_spread":0.1766361000281904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1179564666","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33393574,0.008338029,0.05080426,0.030605095,0.0026311777,0.00006564727,0.0029982668,0.0014875515,0.56913424],"genre_scores_gemma":[0.90912586,0.00079877005,0.0014842335,0.0006901857,0.00050769234,0.000014952136,0.0004307295,0.000060172228,0.08688732],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996922,0.000069242815,0.00001310988,0.00006727064,0.000057909016,0.000100299425],"domain_scores_gemma":[0.99837214,0.0004011397,0.00040056667,0.0002948865,0.00022255529,0.00030864138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007214246,0.0004066097,0.0008191546,0.00069361704,0.0009313138,0.0051280963,0.0006733965,0.0022056994,0.052804876],"category_scores_gemma":[0.005040081,0.00034319446,0.0005420909,0.0007043842,0.0010476421,0.0057471236,0.0012737614,0.0021166247,0.003783694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064398977,0.00019516936,0.008767583,0.00018329168,0.0001053175,0.0018888421,0.0003036022,0.008368232,0.00083021884,0.852449,0.07182749,0.054437254],"study_design_scores_gemma":[0.00017311884,0.00018826617,0.0066161174,0.00011809069,0.00011504947,0.0013920729,0.0005243354,0.0336142,0.0010854438,0.9140219,0.042081285,0.000070169284],"about_ca_topic_score_codex":0.0023843755,"about_ca_topic_score_gemma":0.0026214796,"teacher_disagreement_score":0.052804876,"about_ca_system_score_codex":0.0007027816,"about_ca_system_score_gemma":0.0006088873,"threshold_uncertainty_score":0.17664987},"labels":[],"label_agreement":null},{"id":"W1180139426","doi":"","title":"THE PERFORMANCE OF SOCIALLY RESPONSIBLE INDICES AND MUTUAL FUNDS","year":2004,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sharpe ratio; Index fund; Index (typography); Mutual fund; Portfolio; Passive management; Capital asset pricing model; Expense ratio; Economics; Financial economics; Market portfolio; Actuarial science; Closed-end fund; Institutional investor; Monetary economics; Open-end fund; Finance; Corporate governance","score_opus":0.014538255723041384,"score_gpt":0.1952440835934581,"score_spread":0.18070582787041672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1180139426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789802,0.00043466987,0.000520968,0.0002067297,0.0000064364644,0.000016663806,0.00013256515,0.00003368371,0.019668214],"genre_scores_gemma":[0.99866724,0.00012346482,0.00020452173,0.000010233354,0.0000059604163,0.0000019741838,0.00010916378,0.000004573057,0.00087286613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99693143,0.00039767683,0.00013932651,0.00013282501,0.0019493862,0.00044940892],"domain_scores_gemma":[0.9895083,0.001285799,0.0045432285,0.0004196747,0.0032274188,0.0010156332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002388662,0.00030077947,0.0002740115,0.0028882185,0.00086242455,0.0025933774,0.0004177556,0.0003187736,0.000705374],"category_scores_gemma":[0.018227102,0.000104034305,0.00019614541,0.0025724398,0.0011160705,0.0012207243,0.0011951972,0.0003064671,0.00017731331],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047791228,0.00010517239,0.84138495,0.00008059281,0.00020141104,0.00039457914,0.003025541,0.008021329,0.0023154595,0.03568025,0.0030071868,0.10530557],"study_design_scores_gemma":[0.000029533696,0.00027843914,0.9623666,0.000045512148,0.00009376414,0.00043419012,0.0025133048,0.009142525,0.004891377,0.0068206284,0.013309216,0.000074811054],"about_ca_topic_score_codex":0.119611785,"about_ca_topic_score_gemma":0.154898,"teacher_disagreement_score":0.119611785,"about_ca_system_score_codex":0.005923225,"about_ca_system_score_gemma":0.0044371216,"threshold_uncertainty_score":0.23783118},"labels":[],"label_agreement":null},{"id":"W1218625970","doi":"10.2139/ssrn.2531122","title":"High-Frequency Trading and Extreme Price Movements","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":163,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Market liquidity; High-frequency trading; Economics; Monetary economics; Business; Financial economics","score_opus":0.018920882271926256,"score_gpt":0.19150252616558636,"score_spread":0.1725816438936601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1218625970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99054176,0.00027008008,0.0051512104,0.00038526396,0.000024815312,0.0000032462256,0.0000386958,0.000024403738,0.0035605498],"genre_scores_gemma":[0.99951637,0.00003719911,0.00012783238,0.000013105274,0.000026529133,7.0618506e-7,0.000014400988,0.0000026839173,0.00026106148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997868,0.00006438937,0.000016011496,0.000048511676,0.000036149315,0.000048225087],"domain_scores_gemma":[0.9928636,0.004964753,0.0014060448,0.00033489396,0.00012916472,0.0003015669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006040849,0.00013373334,0.0002667697,0.0005092507,0.0002364715,0.0016067344,0.00029210796,0.00091603305,0.0048564076],"category_scores_gemma":[0.010016388,0.00016973834,0.0002302449,0.00043135718,0.0006248394,0.0014855143,0.0006260999,0.0008100754,0.00025281074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026937139,0.0008203843,0.60989726,0.0002147053,0.0006312736,0.010511088,0.0015393894,0.04940354,0.021133995,0.1927141,0.00513111,0.105309494],"study_design_scores_gemma":[0.00012901713,0.000292766,0.5748068,0.000038305974,0.00011284174,0.0057410304,0.00096550654,0.16604674,0.0013853104,0.2486295,0.0017793917,0.00007275286],"about_ca_topic_score_codex":0.00034489197,"about_ca_topic_score_gemma":0.0003554071,"teacher_disagreement_score":0.0048564076,"about_ca_system_score_codex":0.00014626383,"about_ca_system_score_gemma":0.00006612342,"threshold_uncertainty_score":0.016246319},"labels":[],"label_agreement":null},{"id":"W124392259","doi":"10.2139/ssrn.2523643","title":"Effects of the Limit Order Book on Price Dynamics","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; HEC Montréal","funders":"","keywords":"Order (exchange); Limit (mathematics); Order book; Dynamics (music); Mathematical economics; Economics; Statistical physics; Econometrics; Computer science; Mathematics; Physics; Mathematical analysis","score_opus":0.004886977028069255,"score_gpt":0.17195335424185546,"score_spread":0.1670663772137862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W124392259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96770805,0.0005333038,0.0075294334,0.0020741455,0.000112938586,0.000010919123,0.00024951407,0.00026066886,0.021521095],"genre_scores_gemma":[0.9960277,0.00018079125,0.00034878214,0.000053739237,0.000048608003,0.0000034243849,0.000046290344,0.000039910712,0.003250925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997205,0.000091146925,0.000013914193,0.000039228093,0.00005325159,0.00008186807],"domain_scores_gemma":[0.97393453,0.021748105,0.0012408867,0.00087385083,0.0006002662,0.0016024183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001415628,0.00029229993,0.000775619,0.0006779808,0.00054111757,0.0035490354,0.00056447077,0.0014304632,0.019675955],"category_scores_gemma":[0.03138374,0.0004746436,0.00039471764,0.00046058744,0.0011620806,0.0039060423,0.00084004726,0.0021513207,0.0012969997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0052697193,0.0022969262,0.03156794,0.00035791463,0.00016427631,0.0039780014,0.0014742494,0.25096765,0.035321545,0.59444314,0.017998379,0.056160264],"study_design_scores_gemma":[0.0004739828,0.00041923448,0.029553005,0.000039808227,0.00013552626,0.0005270058,0.00045362662,0.7178909,0.004699748,0.24332665,0.0023547928,0.00012568317],"about_ca_topic_score_codex":0.003163037,"about_ca_topic_score_gemma":0.0020482868,"teacher_disagreement_score":0.019675955,"about_ca_system_score_codex":0.0007030613,"about_ca_system_score_gemma":0.0006406899,"threshold_uncertainty_score":0.0658226},"labels":[],"label_agreement":null},{"id":"W1274469977","doi":"","title":"FexEx profits, revenue rise in quarter, but stock falls as guidance disappoints","year":2007,"lang":"en","type":"article","venue":"Transport topics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Stock (firearms); Business; Quarter (Canadian coin); Truck; Automotive industry; Finance; Operations management; Transport engineering; Engineering; Automotive engineering; Mechanical engineering","score_opus":0.026652615935363465,"score_gpt":0.23604789812691557,"score_spread":0.2093952821915521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1274469977","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056746017,0.004571157,0.0014814638,0.4941304,0.0059176213,0.00003644729,0.0010679573,0.00075941166,0.4352895],"genre_scores_gemma":[0.38998723,0.0027763403,0.0016679215,0.08217118,0.0020134982,0.000031416508,0.00068505696,0.00045215766,0.5202153],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99638534,0.00045256814,0.00013510125,0.00025641403,0.0019283782,0.00084220583],"domain_scores_gemma":[0.99338806,0.0011056074,0.00069472473,0.0003718122,0.002900581,0.0015391785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029988464,0.0003959523,0.00047524413,0.001037473,0.0041577183,0.00877309,0.0006548832,0.00610963,0.027741773],"category_scores_gemma":[0.01648659,0.00026053222,0.00041733662,0.000963646,0.0021646875,0.003967304,0.0021881734,0.0069645704,0.009326802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028130718,0.0001855676,0.02270886,0.000073345785,0.00004074529,0.00036984522,0.0013375126,0.0006376904,0.0013537015,0.11160293,0.71627486,0.14513372],"study_design_scores_gemma":[0.000038885195,0.00024105153,0.043632105,0.0001968139,0.000028646044,0.00045378972,0.0044032144,0.0006814802,0.0015150455,0.032365773,0.9163755,0.00006764109],"about_ca_topic_score_codex":0.034874804,"about_ca_topic_score_gemma":0.06635433,"teacher_disagreement_score":0.034874804,"about_ca_system_score_codex":0.0039216424,"about_ca_system_score_gemma":0.006933794,"threshold_uncertainty_score":0.092805445},"labels":[],"label_agreement":null},{"id":"W128448726","doi":"10.1007/978-3-662-45523-4_17","title":"On Evolving Multi-agent FX Traders","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Business; Computer science","score_opus":0.038052861172623055,"score_gpt":0.2206061480008224,"score_spread":0.18255328682819935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W128448726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.118547976,0.0033757368,0.8250417,0.002470724,0.000877087,0.000076961245,0.0001300411,0.00019392038,0.049285937],"genre_scores_gemma":[0.9093688,0.0025813563,0.047491543,0.00046100913,0.0005618643,0.00009115515,0.00016139778,0.0001272245,0.039155636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969983,0.00012154311,0.000016716602,0.00005634299,0.00006468787,0.00004085825],"domain_scores_gemma":[0.99774927,0.0016495998,0.00017090038,0.000108795015,0.0001525762,0.00016885457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013153515,0.0009717418,0.0011216294,0.0007148021,0.00062131346,0.0020590443,0.0014213814,0.0024226073,0.006191429],"category_scores_gemma":[0.008476069,0.0005222532,0.0006630146,0.00064307364,0.002103329,0.003018291,0.0028658463,0.0016538147,0.0004632412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001677968,0.000049512495,0.0013842187,0.00009644668,0.000067711066,0.00034611588,0.00025908646,0.5408137,0.0013519404,0.4267941,0.0030239378,0.025645379],"study_design_scores_gemma":[0.00001957395,0.00001870924,0.00010632216,0.000010926154,0.000008694516,0.000038233436,0.000020963307,0.89265144,0.0000949686,0.10605107,0.00097175204,0.0000073574297],"about_ca_topic_score_codex":0.0017665168,"about_ca_topic_score_gemma":0.0007744307,"teacher_disagreement_score":0.006191429,"about_ca_system_score_codex":0.0006525904,"about_ca_system_score_gemma":0.00042497757,"threshold_uncertainty_score":0.020712376},"labels":[],"label_agreement":null},{"id":"W13406776","doi":"","title":"Risk-Adjusted Performance Attribution and Portfolio Optimisation under Tracking-Error Constraints for SIAS Canadian Equity Fund","year":2011,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tracking error; Equity (law); Portfolio; Econometrics; Actuarial science; Economics; Tracking (education); Attribution; Computer science; Business; Statistics; Financial economics; Mathematics; Artificial intelligence; Psychology; Political science","score_opus":0.20500227390909698,"score_gpt":0.268977695682222,"score_spread":0.06397542177312504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W13406776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85155994,0.00083674374,0.13378046,0.00071858516,0.00003483019,0.00014829542,0.00021672301,0.00017954088,0.01252485],"genre_scores_gemma":[0.9880028,0.00020468746,0.010413889,0.000025493753,0.000006688032,0.000020891363,0.000097184864,0.000025373616,0.0012029817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861586,0.00031943512,0.0000531043,0.00018025962,0.00056810456,0.0002633113],"domain_scores_gemma":[0.9971685,0.0015779759,0.00048820724,0.0002236116,0.00043913792,0.00010260704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032617783,0.0008720576,0.00060176506,0.0009000496,0.00040059962,0.0016618969,0.0007326769,0.0005842569,0.0009310006],"category_scores_gemma":[0.013556849,0.00030431285,0.00077835517,0.0010234539,0.0008020675,0.0010104943,0.00096923887,0.0011728627,0.000050935178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009800282,0.000032816468,0.0044062757,0.0000327835,0.000051542887,0.000052796702,0.000041197953,0.97063947,0.001146609,0.008115917,0.0002768511,0.01510568],"study_design_scores_gemma":[0.000011478206,0.00007198214,0.008456504,0.000011306978,0.00004038745,0.000015550626,0.000047812497,0.98434967,0.0020387608,0.0044943,0.00043160093,0.00003064766],"about_ca_topic_score_codex":0.21661034,"about_ca_topic_score_gemma":0.100268215,"teacher_disagreement_score":0.7833897,"about_ca_system_score_codex":0.0067045586,"about_ca_system_score_gemma":0.006009338,"threshold_uncertainty_score":0.43069905},"labels":[],"label_agreement":null},{"id":"W134928046","doi":"","title":"The Accrual Volatility Anomaly","year":2010,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Accrual; Decile; Economics; Econometrics; Cash flow; Volatility (finance); Portfolio; Financial economics; Earnings; Downside risk; Monetary economics; Accounting; Statistics; Mathematics","score_opus":0.020932460446493006,"score_gpt":0.20633519241862597,"score_spread":0.18540273197213297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W134928046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897781,0.0003986801,0.0021415986,0.00033225527,0.000042264488,0.000014616959,0.0005557885,0.00013216428,0.0066045253],"genre_scores_gemma":[0.99874544,0.00007143908,0.00022100833,0.000039293045,0.00003912568,0.000002787816,0.00034920723,0.000008744675,0.0005229676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920267,0.00009431738,0.00012073113,0.00020562534,0.00029619483,0.0000803447],"domain_scores_gemma":[0.98196936,0.0059877005,0.00913071,0.0014735699,0.0008517314,0.0005869044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010638833,0.00018769824,0.00032513347,0.0011095073,0.00019582943,0.0012242327,0.00027315857,0.00034975822,0.0060398425],"category_scores_gemma":[0.017705414,0.00008644728,0.00031074975,0.00092244067,0.00030595213,0.00073373085,0.000663519,0.00060431036,0.0010688886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000221325,0.00008312703,0.9572291,0.000033589782,0.00008639426,0.00021058886,0.0001457687,0.00091775827,0.0023382502,0.0027406414,0.0011767886,0.03481673],"study_design_scores_gemma":[0.000015124217,0.00019023832,0.98000777,0.00002045543,0.000068866575,0.0014378538,0.00018135416,0.0044652754,0.0022992815,0.0064970665,0.0047962777,0.000020458476],"about_ca_topic_score_codex":0.000671504,"about_ca_topic_score_gemma":0.0003672505,"teacher_disagreement_score":0.0060398425,"about_ca_system_score_codex":0.00022410888,"about_ca_system_score_gemma":0.0002641157,"threshold_uncertainty_score":0.02020526},"labels":[],"label_agreement":null},{"id":"W1413226164","doi":"10.1016/j.jeca.2005.02.006","title":"Impact of Dual Listings on Valuation and Liquidity: Evidence from China's Stock Markets","year":2005,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Stock (firearms); China; Listing (finance); Stock exchange; Business; Dual (grammatical number); Stock market; Valuation (finance); Financial economics; Insider; Economics; Monetary economics; Context (archaeology); Finance; Geography","score_opus":0.058540907450944896,"score_gpt":0.2778384405789525,"score_spread":0.21929753312800762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1413226164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986364,0.00019458187,0.000022869423,0.00017872821,0.000004215058,0.0000030091906,0.00012609242,0.0000023745615,0.0008318327],"genre_scores_gemma":[0.99953306,0.00007426006,0.000012673359,0.000023883758,0.000015939871,9.753205e-7,0.00017703894,8.009443e-7,0.00016136897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992803,0.0001219376,0.00007623169,0.00011250068,0.0001974407,0.00021163234],"domain_scores_gemma":[0.979729,0.00467355,0.010650807,0.0007361268,0.0018914507,0.0023190335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015521485,0.00032380797,0.00053346675,0.0017845179,0.0008492934,0.002131648,0.00069758086,0.0010249648,0.0050784466],"category_scores_gemma":[0.008297215,0.00027093987,0.00042595138,0.0015529749,0.0011827017,0.0019368855,0.00120087,0.00095280155,0.0004406829],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008331873,0.00022338923,0.98615164,0.00003968242,0.00012640463,0.00039987787,0.00046129077,0.000360336,0.00097377476,0.0010766077,0.0005121468,0.00884161],"study_design_scores_gemma":[0.00008738006,0.00010873162,0.99659365,0.000011796476,0.00015515236,0.00007746363,0.0005534189,0.001154671,0.00029709912,0.00057327957,0.00036980456,0.000017603203],"about_ca_topic_score_codex":0.028973218,"about_ca_topic_score_gemma":0.033454522,"teacher_disagreement_score":0.028973218,"about_ca_system_score_codex":0.0014541453,"about_ca_system_score_gemma":0.0009705025,"threshold_uncertainty_score":0.05760914},"labels":[],"label_agreement":null},{"id":"W141872819","doi":"","title":"The Performance, Pervasiveness, and Determinants of Value Premium in Different US Exchanges: 1985-2006","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Value premium; Value (mathematics); Risk premium; Economics; Stock (firearms); Financial economics; Econometrics; Portfolio; Recession; Capital asset pricing model; Geography; Statistics","score_opus":0.020279536576342433,"score_gpt":0.19603663498810447,"score_spread":0.17575709841176204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W141872819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99610376,0.00037860815,0.00015822747,0.0001805843,0.000009569093,0.000006105849,0.0019826263,0.000015081427,0.0011653941],"genre_scores_gemma":[0.9963552,0.00017693831,0.000102378355,0.00003907919,0.000033260218,0.0000028289169,0.002799253,0.0000039282477,0.00048703674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996284,0.00004300594,0.00005340571,0.0000807093,0.00012338828,0.000071178256],"domain_scores_gemma":[0.99244505,0.0009588172,0.005118691,0.0002664251,0.00073069683,0.0004803287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012372814,0.00017823953,0.00022296778,0.0017437255,0.00023886898,0.0011983812,0.00026063883,0.00041635157,0.0009506276],"category_scores_gemma":[0.004013296,0.00011256281,0.0002814721,0.0019578843,0.00026855042,0.0008308281,0.0006946116,0.0005526201,0.0002024645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080360776,0.000036502814,0.9937837,0.000018482677,0.000045877703,0.00006150719,0.0001477834,0.0002615099,0.00029971453,0.00033825633,0.00085267535,0.0040735253],"study_design_scores_gemma":[0.0000011721866,0.000014971856,0.99894816,0.0000041835538,0.000009097862,0.000031731288,0.000065629036,0.0003180253,0.000101509046,0.00003033503,0.00047293148,0.0000023111093],"about_ca_topic_score_codex":0.019252595,"about_ca_topic_score_gemma":0.0253976,"teacher_disagreement_score":0.019252595,"about_ca_system_score_codex":0.0005502963,"about_ca_system_score_gemma":0.00026017948,"threshold_uncertainty_score":0.038281083},"labels":[],"label_agreement":null},{"id":"W1444142499","doi":"10.2139/ssrn.2614828","title":"Equity Investing with Targeted Constant Volatility Exposure","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Volatility (finance); Econometrics; Volatility smile; Economics; Implied volatility; Univariate; Forward volatility; Volatility risk premium; Financial economics; Equity (law); Transaction cost; Volatility swap; Multivariate statistics; Finance; Statistics; Mathematics","score_opus":0.0434012201439794,"score_gpt":0.23415813046779108,"score_spread":0.19075691032381167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1444142499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98865396,0.000097757926,0.0059413607,0.0003144087,0.000026028423,0.000017168171,0.00007381197,0.000067066656,0.0048084767],"genre_scores_gemma":[0.99745566,0.000023951443,0.00019103088,0.00001947339,0.000009060433,0.0000021237893,0.000015222112,0.0000024131414,0.0022811436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999686,0.00004590735,0.000013869676,0.00006418565,0.000038553157,0.00015148653],"domain_scores_gemma":[0.99835014,0.0006248959,0.00048394344,0.00015348093,0.0000921864,0.00029537172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083172513,0.00048309675,0.000751572,0.00029914966,0.00020928938,0.001626264,0.0006396924,0.0015388803,0.0039567132],"category_scores_gemma":[0.0041251243,0.00023279554,0.0003366104,0.00024941628,0.0006738629,0.0013076626,0.00077081635,0.00067473075,0.00034492323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0104570985,0.004176087,0.1664599,0.0005709703,0.00072545855,0.013865049,0.0008469587,0.30429125,0.06991897,0.29280907,0.010464985,0.12541415],"study_design_scores_gemma":[0.0005931891,0.0037449738,0.07470551,0.000043375658,0.00056522124,0.0019560137,0.00049565925,0.7570335,0.016952699,0.14143442,0.0023732723,0.0001021675],"about_ca_topic_score_codex":0.0013582485,"about_ca_topic_score_gemma":0.0012485707,"teacher_disagreement_score":0.0039567132,"about_ca_system_score_codex":0.0005328201,"about_ca_system_score_gemma":0.00038348843,"threshold_uncertainty_score":0.013236523},"labels":[],"label_agreement":null},{"id":"W144812432","doi":"10.2139/ssrn.1569888","title":"Uncertainty and Dispersion of Opinions","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Volatility (finance); Stock (firearms); Incentive; Benchmarking; Misrepresentation; Economics; Financial economics; Dispersion (optics); Business; Econometrics; Actuarial science; Microeconomics; Marketing","score_opus":0.010552078002183505,"score_gpt":0.2079773656515615,"score_spread":0.197425287649378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W144812432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9413199,0.0014538416,0.03366443,0.0025670337,0.00008252302,0.000036798683,0.00029298442,0.0000562654,0.02052623],"genre_scores_gemma":[0.9984378,0.0001469269,0.00063606317,0.000037828137,0.00005307656,0.0000082907645,0.000060954506,0.000005980744,0.000613059],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996849,0.001046975,0.00026329746,0.00066905346,0.0008854369,0.00028619295],"domain_scores_gemma":[0.8938268,0.08730815,0.008799843,0.0043416456,0.0040970724,0.0016265967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006125942,0.00025355542,0.00078223704,0.0019129143,0.00096388615,0.0045886943,0.00075303885,0.0020844282,0.006176984],"category_scores_gemma":[0.104239926,0.00039703175,0.0005266894,0.0015438895,0.0017640777,0.0060509136,0.0016407446,0.0015509895,0.00061057956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018857204,0.00034178875,0.13066144,0.00029483708,0.00087690336,0.0011350051,0.011732453,0.0833937,0.0041452963,0.63074946,0.0077488516,0.12703452],"study_design_scores_gemma":[0.00008030214,0.00018453214,0.06294085,0.00005715928,0.00013810713,0.00050429686,0.0032153495,0.13056129,0.00078632444,0.7982798,0.0031346343,0.0001173291],"about_ca_topic_score_codex":0.0016228635,"about_ca_topic_score_gemma":0.00090854766,"teacher_disagreement_score":0.006176984,"about_ca_system_score_codex":0.0011491566,"about_ca_system_score_gemma":0.0002668763,"threshold_uncertainty_score":0.03239745},"labels":[],"label_agreement":null},{"id":"W145450175","doi":"","title":"An Analysis of Risk Changes Surrounding French Convertible Bond Offerings","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Issuer; Convertible bond; Systematic risk; Leverage (statistics); Business; Equity (law); Bond; Stock (firearms); Context (archaeology); Monetary economics; Financial economics; Economics; Actuarial science; Finance","score_opus":0.011830801087849108,"score_gpt":0.21529749125277356,"score_spread":0.20346669016492444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W145450175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976954,0.00021967398,0.00039107882,0.00007883798,0.000005851222,0.0000050845606,0.00009263763,0.000016783717,0.0014946458],"genre_scores_gemma":[0.9990182,0.000057719888,0.00010741381,0.0000053387334,0.000008030225,0.0000013543008,0.000108605076,0.0000030502995,0.0006903681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997315,0.00007659885,0.000011767682,0.000045041656,0.00007972111,0.00005535354],"domain_scores_gemma":[0.9963475,0.002199168,0.0007017878,0.00010046205,0.0004364168,0.00021468622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008013051,0.00019826245,0.00020817509,0.0011754989,0.0003406832,0.0013875087,0.00025201583,0.00055571296,0.0020309745],"category_scores_gemma":[0.0043812613,0.00007590411,0.00024220535,0.0010268429,0.00029937248,0.000430268,0.0001748395,0.00041588233,0.00022702216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037276074,0.00069192785,0.74378985,0.0001625809,0.00029262077,0.0057317778,0.0024926455,0.08246777,0.02730494,0.01681919,0.0049302727,0.11158873],"study_design_scores_gemma":[0.00002094305,0.00027388404,0.92894673,0.000016284243,0.00007509105,0.000515251,0.0008008459,0.06304789,0.0022356622,0.0013855507,0.002640062,0.00004187641],"about_ca_topic_score_codex":0.018263932,"about_ca_topic_score_gemma":0.011926261,"teacher_disagreement_score":0.018263932,"about_ca_system_score_codex":0.0013380387,"about_ca_system_score_gemma":0.00029318465,"threshold_uncertainty_score":0.036315262},"labels":[],"label_agreement":null},{"id":"W145570883","doi":"10.2139/ssrn.720041","title":"Portfolios from Sorts","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","score_opus":0.012677431766908876,"score_gpt":0.19734550401246653,"score_spread":0.18466807224555765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W145570883","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047918573,0.0035820687,0.6826258,0.0035847875,0.0008760929,0.00041145066,0.005915221,0.0032009524,0.2518851],"genre_scores_gemma":[0.64698124,0.004373758,0.2127694,0.0011261926,0.0008191343,0.00039200037,0.008719178,0.0011534704,0.12366563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99801266,0.00045447517,0.00015265927,0.00040652536,0.0007557698,0.0002179901],"domain_scores_gemma":[0.99731594,0.00077900843,0.00017539378,0.0010496629,0.00048786472,0.00019210349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016081111,0.00097169925,0.001402135,0.0028726154,0.001029696,0.0057796133,0.0010692745,0.0015421185,0.031814676],"category_scores_gemma":[0.013408825,0.00053903967,0.001013601,0.0033035101,0.0011357584,0.006468792,0.0030682788,0.0015879596,0.009763944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017660759,0.00005578391,0.0012463192,0.00014182714,0.00006916759,0.0001016496,0.00013993787,0.011252648,0.00065721147,0.7319265,0.025852857,0.22837949],"study_design_scores_gemma":[0.00001905025,0.00003507297,0.00023751745,0.000052650517,0.00002647212,0.00014233682,0.000055948665,0.015284209,0.00052019977,0.9482908,0.03532289,0.00001287508],"about_ca_topic_score_codex":0.0006748324,"about_ca_topic_score_gemma":0.00078974967,"teacher_disagreement_score":0.031814676,"about_ca_system_score_codex":0.00090725056,"about_ca_system_score_gemma":0.0011958161,"threshold_uncertainty_score":0.10643065},"labels":[],"label_agreement":null},{"id":"W1480511155","doi":"10.1017/s0022109013000598","title":"The Joint Dynamics of Equity Market Factors","year":2013,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Equity (law); Joint (building); Dynamics (music); Economics; Business; Financial economics; Physics; Structural engineering; Engineering; Political science","score_opus":0.050570150205610995,"score_gpt":0.2615836228791659,"score_spread":0.2110134726735549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1480511155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9175128,0.00035529849,0.065602854,0.0010225007,0.00003473301,0.00006747362,0.00047319266,0.00017763374,0.014753521],"genre_scores_gemma":[0.9950799,0.0000828682,0.0020714414,0.00002292517,0.000010240145,0.00001333225,0.00006220615,0.000020053438,0.0026370846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992835,0.00020375039,0.000035592708,0.00019297139,0.00018030086,0.00010379136],"domain_scores_gemma":[0.99240863,0.0037381824,0.0016871224,0.000683749,0.0008855444,0.0005967407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020445678,0.00033588544,0.000608284,0.0010485972,0.00047738745,0.0028601098,0.000469987,0.0007832992,0.0060825306],"category_scores_gemma":[0.020250471,0.0004276453,0.0004301372,0.00072046067,0.0016045468,0.003352118,0.0013276429,0.0014639685,0.00042699883],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039408644,0.00016685412,0.053867158,0.00007648469,0.00014221355,0.0006103212,0.00076447066,0.14667425,0.009097116,0.73346025,0.0047321254,0.050014727],"study_design_scores_gemma":[0.00006405878,0.00011096669,0.031013254,0.000026638356,0.00004178478,0.00022150003,0.00023042444,0.50902814,0.0014964042,0.45431766,0.0033716583,0.00007755017],"about_ca_topic_score_codex":0.0061990735,"about_ca_topic_score_gemma":0.0027637754,"teacher_disagreement_score":0.0061990735,"about_ca_system_score_codex":0.001293713,"about_ca_system_score_gemma":0.0007488913,"threshold_uncertainty_score":0.020348132},"labels":[],"label_agreement":null},{"id":"W1481687214","doi":"10.2139/ssrn.1085417","title":"The Value of Judgment: A Mathematical Theory","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Value (mathematics); Value theory; Psychology; Law; Mathematical economics; Mathematics; Actuarial science; Epistemology; Political science; Economics; Philosophy; Statistics","score_opus":0.016366703346225527,"score_gpt":0.2001161806760017,"score_spread":0.18374947732977617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481687214","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042082876,0.0076000975,0.83308196,0.0142819565,0.0006540147,0.00010035323,0.00035607367,0.00014893584,0.1016937],"genre_scores_gemma":[0.88387,0.0051956805,0.08470832,0.0009737884,0.0017469015,0.00024656873,0.00019118444,0.000114442475,0.022953099],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99587125,0.0019645493,0.00023324152,0.00052501564,0.0011476674,0.00025829574],"domain_scores_gemma":[0.9547502,0.03943213,0.0012056523,0.0015832946,0.0023908345,0.0006379114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006044708,0.0008141199,0.0013159899,0.0030878256,0.0013130553,0.007861142,0.0023471864,0.003619953,0.007962579],"category_scores_gemma":[0.051451195,0.00079817144,0.0013501297,0.0031193383,0.008256466,0.017780432,0.002204917,0.0033712653,0.000864813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000689436,0.00001116151,0.00014542806,0.000035083103,0.000009621108,0.000022654338,0.00012941487,0.002598916,0.0000626942,0.9888199,0.0009589299,0.007199245],"study_design_scores_gemma":[0.0000026811915,0.00000422726,0.00006418881,0.0000136404005,0.0000059291474,0.000033000222,0.000026607258,0.012349389,0.000033364675,0.9866377,0.00082377554,0.000005433316],"about_ca_topic_score_codex":0.0015917472,"about_ca_topic_score_gemma":0.00073459145,"teacher_disagreement_score":0.007962579,"about_ca_system_score_codex":0.0030905118,"about_ca_system_score_gemma":0.0015925551,"threshold_uncertainty_score":0.03196782},"labels":[],"label_agreement":null},{"id":"W1482500235","doi":"10.2139/ssrn.271450","title":"Limit vs. Market Order Trading on the Saudi Stock Market","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Stock market; Financial economics; Business; Limit (mathematics); Order (exchange); Market depth; Economics; Econometrics; Mathematics; Finance; Geography","score_opus":0.022735612294153114,"score_gpt":0.20772942863715052,"score_spread":0.1849938163429974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482500235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99549484,0.00018850496,0.0019514712,0.0001549884,0.000009200732,0.0000027258775,0.00002753031,0.000022489972,0.0021482394],"genre_scores_gemma":[0.999022,0.00007952001,0.00020001645,0.000008214935,0.000010443456,0.00000124802,0.000020982294,0.000004959868,0.00065253465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99987125,0.000037387865,0.000010766073,0.000017954726,0.000033830893,0.000028787881],"domain_scores_gemma":[0.99573505,0.0022471729,0.0008024165,0.00026794997,0.00050449674,0.00044295966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009096655,0.00021011417,0.00056706835,0.00066290714,0.0004121246,0.0019009826,0.00053295906,0.0006666112,0.0038019342],"category_scores_gemma":[0.008975935,0.00016305156,0.00031259467,0.0003481803,0.00068552955,0.0025379949,0.0005120829,0.0005841102,0.00023008822],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046469867,0.000637827,0.089576975,0.00035808756,0.0002133884,0.0024321987,0.0013193522,0.15609641,0.030025246,0.6328056,0.0050809854,0.07680698],"study_design_scores_gemma":[0.00009651096,0.00021213721,0.025871122,0.000027457056,0.000063212,0.0003106363,0.0002647667,0.8491314,0.0022066943,0.12126433,0.00050275,0.00004911077],"about_ca_topic_score_codex":0.004128581,"about_ca_topic_score_gemma":0.0031673533,"teacher_disagreement_score":0.004128581,"about_ca_system_score_codex":0.0006308405,"about_ca_system_score_gemma":0.00039406063,"threshold_uncertainty_score":0.012718737},"labels":[],"label_agreement":null},{"id":"W1482552755","doi":"10.2139/ssrn.288123","title":"Trading on the Information Content of Open Interest: Evidence from the US Equity Options Market","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Equity (law); Business; Financial economics; Economics; Monetary economics; Political science","score_opus":0.14902717728075374,"score_gpt":0.2827785241419576,"score_spread":0.13375134686120385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482552755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849652,0.0014213861,0.0005126368,0.0015393258,0.000018171815,0.000011604302,0.00033802728,0.000013554193,0.011179988],"genre_scores_gemma":[0.99827516,0.0006554594,0.000094924784,0.00011737274,0.00004830455,0.0000033122906,0.00024007511,0.0000061930496,0.0005591765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991204,0.00030877432,0.00007011317,0.00008010001,0.0003309782,0.00008960216],"domain_scores_gemma":[0.91626066,0.062934496,0.013704133,0.0028368838,0.0025100545,0.0017538478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026602396,0.00029295695,0.00057266746,0.0013728216,0.0005579572,0.0026546004,0.0007272322,0.0015080186,0.008174836],"category_scores_gemma":[0.04086343,0.00033071032,0.000315124,0.001605424,0.001646291,0.0046020476,0.0012610801,0.0016814877,0.0008276189],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01623345,0.0036632393,0.70918876,0.00063269964,0.0012729946,0.0019501153,0.0034411624,0.010972173,0.009873044,0.06195498,0.010427813,0.17038949],"study_design_scores_gemma":[0.0010454222,0.0011663996,0.8656018,0.00022482037,0.00090782036,0.0009682544,0.0022499294,0.022357505,0.0070954324,0.08522208,0.01298748,0.00017318496],"about_ca_topic_score_codex":0.004078043,"about_ca_topic_score_gemma":0.0029611601,"teacher_disagreement_score":0.008174836,"about_ca_system_score_codex":0.0004720712,"about_ca_system_score_gemma":0.00035386038,"threshold_uncertainty_score":0.027347565},"labels":[],"label_agreement":null},{"id":"W1482869090","doi":"","title":"Efficiency of the Eastern Caribbean Securities Exchange","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Inefficiency; Monetary economics; Business; Capital market; Market efficiency; Security market; Economics; Financial economics; Financial system; Finance; Market economy","score_opus":0.012281783590449161,"score_gpt":0.1827900089553295,"score_spread":0.17050822536488036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482869090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92733896,0.00075327896,0.005171136,0.0015090664,0.000024555187,0.00012756747,0.0009639575,0.00008445722,0.06402709],"genre_scores_gemma":[0.99201304,0.0002916219,0.0007813493,0.00008405722,0.00002044352,0.000026306938,0.0006537963,0.000016525255,0.006112815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99636036,0.0009000544,0.0004560806,0.0003729976,0.0014363535,0.00047413932],"domain_scores_gemma":[0.97182614,0.009930256,0.008827538,0.0034046145,0.0050542066,0.00095711823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005915781,0.00041692966,0.0006643628,0.0025957057,0.00096569746,0.005595555,0.0007882073,0.0005075778,0.007943207],"category_scores_gemma":[0.0560699,0.00023583048,0.00045623502,0.0018544631,0.0014803748,0.00282711,0.0017426129,0.00062835566,0.0007420226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008759728,0.00021319273,0.633674,0.00019342882,0.00034630383,0.0008488042,0.0017658555,0.03132484,0.0024574413,0.22243334,0.007400243,0.09846658],"study_design_scores_gemma":[0.00015377301,0.00032732438,0.75593406,0.0001840573,0.00028785405,0.0007524954,0.0029562598,0.11092092,0.0055506313,0.085458055,0.0373211,0.00015336236],"about_ca_topic_score_codex":0.046702206,"about_ca_topic_score_gemma":0.03215192,"teacher_disagreement_score":0.046702206,"about_ca_system_score_codex":0.0033557522,"about_ca_system_score_gemma":0.00251921,"threshold_uncertainty_score":0.09286076},"labels":[],"label_agreement":null},{"id":"W1482987731","doi":"10.2139/ssrn.386621","title":"Sunspots, Iterative Two-Pass Cross-Sectional Regressions, and Asymptotic Principal Components","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Principal component analysis; Mathematics; Statistics; Econometrics; Applied mathematics","score_opus":0.026430772262853258,"score_gpt":0.2530455658840075,"score_spread":0.22661479362115425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482987731","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022832356,0.0003973748,0.97464436,0.00010686706,0.0000410753,0.000037601763,0.00006742527,0.0011954511,0.00067745615],"genre_scores_gemma":[0.43670604,0.0009140973,0.54989296,0.00014840497,0.0002681064,0.0003343085,0.00094856793,0.0013118887,0.009475652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99222445,0.005001718,0.0003691616,0.0012158649,0.0008051678,0.00038363857],"domain_scores_gemma":[0.9287829,0.05553086,0.003426721,0.008876125,0.0027717343,0.0006116783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01747152,0.0019968296,0.003024309,0.0039201174,0.0012510647,0.0028088535,0.0044896654,0.0021366684,0.0062896754],"category_scores_gemma":[0.096883506,0.0024333042,0.002491033,0.0037815953,0.0021464955,0.006619458,0.0031326073,0.0031166303,0.002218844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081998546,0.00037340465,0.025789855,0.00048404947,0.0014393876,0.00063155853,0.00082197256,0.4298688,0.003057239,0.18654937,0.004096619,0.3460678],"study_design_scores_gemma":[0.00003228501,0.00006423697,0.0026982867,0.000031095067,0.00009468671,0.00014820756,0.00004173932,0.93346673,0.00085373735,0.061650116,0.00087351276,0.00004551253],"about_ca_topic_score_codex":0.0060721613,"about_ca_topic_score_gemma":0.007727399,"teacher_disagreement_score":0.01747152,"about_ca_system_score_codex":0.0010101253,"about_ca_system_score_gemma":0.0021984829,"threshold_uncertainty_score":0.09239936},"labels":[],"label_agreement":null},{"id":"W1483517912","doi":"10.3386/w8093","title":"Does Firm-specific Information in Stock Prices Guide Capital Allocation?","year":2001,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Stock (firearms); Business; Capital allocation line; Monetary economics; Financial economics; Economics; Finance; Microeconomics; Incentive","score_opus":0.22986331976787494,"score_gpt":0.4190568862582799,"score_spread":0.18919356649040497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483517912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701114,0.0011832257,0.014261433,0.0019326822,0.000033688517,0.000044193064,0.00078993425,0.00008718341,0.011556268],"genre_scores_gemma":[0.9974152,0.00043059344,0.0011194625,0.00010776834,0.000027978676,0.0000045094826,0.00017622713,0.0000078016365,0.00071059103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935657,0.0001375964,0.00007840897,0.00016332188,0.000115552524,0.00014861554],"domain_scores_gemma":[0.9757171,0.0111247,0.010150821,0.0013387396,0.0011885039,0.00048016166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024178573,0.00036821418,0.0006708867,0.0012404651,0.0002518969,0.002522372,0.00047802084,0.0011626811,0.0035710675],"category_scores_gemma":[0.024041487,0.0005082488,0.00034088435,0.0014001229,0.0005181304,0.002779706,0.00059732,0.000625313,0.0006995268],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033314517,0.0002569794,0.8624611,0.00015597072,0.0004105869,0.00039183313,0.0005032276,0.024984248,0.0036295399,0.014354164,0.0021230269,0.09039613],"study_design_scores_gemma":[0.000061554296,0.000192826,0.9077274,0.0000745475,0.00017728051,0.00025730112,0.0003753234,0.05068151,0.0035806305,0.033678923,0.0031258734,0.00006683108],"about_ca_topic_score_codex":0.0062832055,"about_ca_topic_score_gemma":0.008757644,"teacher_disagreement_score":0.0062832055,"about_ca_system_score_codex":0.0007674043,"about_ca_system_score_gemma":0.00053235766,"threshold_uncertainty_score":0.012787044},"labels":[],"label_agreement":null},{"id":"W1483534032","doi":"10.1506/n8t8-9qr7-yucx-91x2","title":"Do Investors Overrely on Old Elements of the Earnings Time Series?*","year":2003,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Forecast error; Series (stratigraphy); Economics; Econometrics; Accounting; Psychology; Financial economics; Geology","score_opus":0.07996403356630327,"score_gpt":0.28142858325169745,"score_spread":0.20146454968539418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483534032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961307,0.00012438741,0.0010393034,0.00035444787,0.00002731564,0.000020910678,0.000037036847,0.00001809948,0.0022477368],"genre_scores_gemma":[0.998285,0.000088533176,0.00062029646,0.0002519068,0.000028413126,0.0000116280635,0.00003369425,0.000007813475,0.00067278114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99693775,0.0009824717,0.00029830463,0.0006262529,0.00085445534,0.00030078818],"domain_scores_gemma":[0.9512561,0.025308108,0.012240419,0.00731565,0.0019869306,0.0018927582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008947256,0.0005574227,0.0008639687,0.00057228445,0.00041999607,0.0019150366,0.0007362289,0.0015785354,0.003098203],"category_scores_gemma":[0.05403527,0.0005199185,0.0003260607,0.00031834352,0.00090593664,0.0023319598,0.0010804861,0.0015980493,0.00074885215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0074520227,0.0016988812,0.78269374,0.00019851659,0.0006071011,0.0008814697,0.0032275799,0.005695127,0.051646736,0.0044933194,0.0018902081,0.13951524],"study_design_scores_gemma":[0.0005425908,0.0051251557,0.8943095,0.00009434958,0.0003821373,0.00092938176,0.002748171,0.034561906,0.037141263,0.018560454,0.005341072,0.0002640435],"about_ca_topic_score_codex":0.0012468629,"about_ca_topic_score_gemma":0.0010216171,"teacher_disagreement_score":0.008947256,"about_ca_system_score_codex":0.00044803706,"about_ca_system_score_gemma":0.00029555388,"threshold_uncertainty_score":0.04731816},"labels":[],"label_agreement":null},{"id":"W1483592701","doi":"10.1016/j.jbankfin.2010.11.001","title":"Comparing different explanations of the volatility trend","year":2010,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Volatility (finance); Explanatory power; Economics; Econometrics; Implied volatility; Volatility smile; Stock (firearms); Financial economics; Geography","score_opus":0.03662841673971028,"score_gpt":0.22174860337030852,"score_spread":0.18512018663059823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483592701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90507483,0.0044374787,0.022316769,0.012556888,0.00088722835,0.00007228357,0.0013109815,0.00020145327,0.05314213],"genre_scores_gemma":[0.9956436,0.0007597458,0.0011370794,0.0003557673,0.00039002585,0.000017867083,0.0005676412,0.000062287596,0.0010659241],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999161,0.00031941812,0.000066211396,0.00013150291,0.00018103856,0.0001407862],"domain_scores_gemma":[0.981612,0.01391426,0.0014243615,0.001412441,0.0012926883,0.0003442686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035899763,0.0004920604,0.000601299,0.00218557,0.00059966045,0.0035360577,0.0015995267,0.0023435706,0.014936313],"category_scores_gemma":[0.02519618,0.0002542395,0.001334924,0.001775995,0.0013191126,0.003066488,0.001041512,0.001295525,0.001067347],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026435342,0.0003134159,0.16133653,0.00070359244,0.001153403,0.0018449405,0.0029511685,0.021543948,0.0024847966,0.7033638,0.018081436,0.08357947],"study_design_scores_gemma":[0.0012573842,0.00033893395,0.16846292,0.00028795385,0.0013241287,0.00064697134,0.004344503,0.16789505,0.002325906,0.6400334,0.012900411,0.00018232781],"about_ca_topic_score_codex":0.0022525343,"about_ca_topic_score_gemma":0.001356325,"teacher_disagreement_score":0.014936313,"about_ca_system_score_codex":0.00086823246,"about_ca_system_score_gemma":0.00045427802,"threshold_uncertainty_score":0.04996687},"labels":[],"label_agreement":null},{"id":"W1484009387","doi":"10.34989/swp-2000-9","title":"Modelling Risk Premiums in Equity and Foreign Exchange Markets","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Predictability; Equity (law); Foreign exchange; Equity risk; Excess return; Economics; Monetary economics; Financial economics; Risk premium; Financial market; Equity capital markets; Business; Finance; Private equity","score_opus":0.08086886362868417,"score_gpt":0.29466312043857823,"score_spread":0.21379425680989406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484009387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8774039,0.0002833142,0.11817902,0.0002628743,0.00001928875,0.00004446898,0.000093530165,0.000059867638,0.0036537703],"genre_scores_gemma":[0.9914995,0.00014915045,0.0061487462,0.000020210051,0.000015850952,0.000017152764,0.00003360966,0.000010265433,0.0021055308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957544,0.00018626393,0.000018753111,0.00007488136,0.000054928296,0.00008976299],"domain_scores_gemma":[0.99826896,0.001124407,0.00031399177,0.00008095738,0.00007718092,0.00013442402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019447013,0.0007243576,0.00067859003,0.0005868904,0.00019845707,0.0015533416,0.0009033866,0.0014308324,0.0012251402],"category_scores_gemma":[0.005024634,0.00039076287,0.0010086092,0.00043518978,0.0010801294,0.0019075687,0.0011323759,0.0010641898,0.000096532625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059137285,0.00007524033,0.005579553,0.000026366284,0.000050562976,0.00022976442,0.00016287254,0.89474267,0.0015465921,0.09421247,0.00012138825,0.0031934138],"study_design_scores_gemma":[0.000013929037,0.000030576204,0.0017202462,0.0000037574614,0.000012117279,0.000022464455,0.000030913532,0.9570254,0.000171923,0.04083256,0.00012434092,0.000011773761],"about_ca_topic_score_codex":0.0069447747,"about_ca_topic_score_gemma":0.0035908904,"teacher_disagreement_score":0.0069447747,"about_ca_system_score_codex":0.00076784095,"about_ca_system_score_gemma":0.0005586934,"threshold_uncertainty_score":0.013808727},"labels":[],"label_agreement":null},{"id":"W1484713996","doi":"10.1023/a:1012240609470","title":"Applying Portfolio Change and Conditional Performance Measures: The Case of Industry Rotation via the Dynamic Investment Model","year":2001,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Econometrics; Contrarian; Economics; Estimator; Bayes' theorem; Portfolio; Capital asset pricing model; Investment (military); Expected return; Estimation; Actuarial science; Bayesian probability; Statistics; Financial economics; Mathematics; Management","score_opus":0.09523723924014277,"score_gpt":0.2900921347778803,"score_spread":0.19485489553773755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484713996","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23857944,0.0026251418,0.74345726,0.0025809228,0.00014487408,0.00007483055,0.00022407038,0.00021749419,0.0120960055],"genre_scores_gemma":[0.9641387,0.0014922562,0.029047271,0.00011428439,0.00014673063,0.00005047542,0.0001428751,0.000064510976,0.004802959],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790287,0.001293742,0.00006789644,0.00028617628,0.00018719547,0.00026201448],"domain_scores_gemma":[0.9914995,0.0061117746,0.0010620054,0.00068457954,0.00033172086,0.00031041863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005980095,0.0011087677,0.0017343526,0.001428911,0.00054210407,0.0031690882,0.0017846785,0.0022530195,0.0031410467],"category_scores_gemma":[0.023113811,0.000622477,0.001115503,0.0024504645,0.0022088028,0.0047805463,0.0024529018,0.002297289,0.0003020263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009998316,0.00007510622,0.0045345263,0.0000495959,0.00012519427,0.00024608607,0.00013192165,0.47510692,0.00022531532,0.49455538,0.0010773927,0.023772523],"study_design_scores_gemma":[0.000012797819,0.000024783396,0.0008047817,0.00001020154,0.000019163017,0.000048117694,0.000028366569,0.8067041,0.00009834805,0.19161421,0.0006154033,0.000019702951],"about_ca_topic_score_codex":0.008948634,"about_ca_topic_score_gemma":0.004270225,"teacher_disagreement_score":0.008948634,"about_ca_system_score_codex":0.0016865613,"about_ca_system_score_gemma":0.0010407636,"threshold_uncertainty_score":0.031626105},"labels":[],"label_agreement":null},{"id":"W1484895754","doi":"10.1111/j.1468-036x.2010.00592.x","title":"Herding in a Concentrated Market: a Question of Intent","year":2011,"lang":"en","type":"article","venue":"European Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Herding; Herd behavior; Spurious relationship; Quarter (Canadian coin); Financial economics; Business; Economics; Herd; Monetary economics; Geography; Biology","score_opus":0.038571298386427054,"score_gpt":0.19460530086711647,"score_spread":0.1560340024806894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484895754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98865616,0.00022510473,0.00589798,0.0012855906,0.000016463242,0.00001534736,0.000038688566,0.000020444528,0.0038441275],"genre_scores_gemma":[0.9992422,0.000043195338,0.0003967768,0.000077367724,0.000018573672,0.0000034875604,0.000011439351,0.0000026512967,0.00020423648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986695,0.0005367061,0.00009779235,0.00029397177,0.00015255914,0.00024952914],"domain_scores_gemma":[0.95777696,0.022802126,0.0127851935,0.004181965,0.0013467773,0.0011069186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063309465,0.00010609378,0.00087641756,0.0005600127,0.0006707557,0.0018644382,0.00074783014,0.0014061279,0.0043780366],"category_scores_gemma":[0.03547475,0.0002458765,0.00038641543,0.00051649084,0.0029891005,0.0030609362,0.0009437478,0.0007290259,0.00028067245],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007889133,0.00033271348,0.82076234,0.00041279863,0.0005831201,0.0010898961,0.0056808935,0.009229675,0.004500251,0.09728702,0.0037597576,0.055572532],"study_design_scores_gemma":[0.00010835007,0.00073403923,0.7976057,0.00024280432,0.0003111444,0.000780177,0.007778064,0.050076228,0.0014902917,0.13766864,0.0031208391,0.00008368884],"about_ca_topic_score_codex":0.0020256946,"about_ca_topic_score_gemma":0.0016489658,"teacher_disagreement_score":0.0063309465,"about_ca_system_score_codex":0.0005944131,"about_ca_system_score_gemma":0.00027575562,"threshold_uncertainty_score":0.033481658},"labels":[],"label_agreement":null},{"id":"W148516779","doi":"10.2139/ssrn.1933197","title":"Changes in the Constituents of the S&amp;P 500 Index and the Performance of the Index","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Index (typography); Mathematics; Statistics; Computer science","score_opus":0.022890902445331818,"score_gpt":0.19392584147704725,"score_spread":0.17103493903171543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W148516779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866195,0.00031334787,0.0006060872,0.00063325657,0.00006222394,0.000014159588,0.0015474175,0.000053669137,0.010150327],"genre_scores_gemma":[0.99637717,0.00009138735,0.00016684837,0.00003323837,0.000091362526,0.000005238421,0.0013881627,0.000011957179,0.001834669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993315,0.00009357618,0.000110143556,0.000111108144,0.00025754134,0.00009612491],"domain_scores_gemma":[0.9833807,0.0043114857,0.007353855,0.0006390213,0.0029034235,0.0014115288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001227371,0.0002496292,0.00027608025,0.0014870188,0.0003837755,0.003025648,0.00049176265,0.0015548228,0.003299636],"category_scores_gemma":[0.015698455,0.00017783091,0.00023969644,0.002146649,0.0004778516,0.0016706501,0.00065881864,0.0012498522,0.0023027041],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007155859,0.00021191688,0.9677212,0.000045597353,0.00017025434,0.00033707469,0.0003170334,0.0033347174,0.0050071594,0.0039585913,0.0035940218,0.014586924],"study_design_scores_gemma":[0.0000072583257,0.00013016986,0.98971856,0.0000072476732,0.000031192212,0.00015776999,0.0002495571,0.0045200414,0.0017505807,0.0015065374,0.0019030041,0.000018218494],"about_ca_topic_score_codex":0.0038950376,"about_ca_topic_score_gemma":0.003609187,"teacher_disagreement_score":0.0038950376,"about_ca_system_score_codex":0.0007970037,"about_ca_system_score_gemma":0.00046977494,"threshold_uncertainty_score":0.011038363},"labels":[],"label_agreement":null},{"id":"W1485510170","doi":"10.2139/ssrn.2182295","title":"Equity Portfolio Diversification: How Many Stocks are Enough? Evidence from Five Developed Markets","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Diversification (marketing strategy); Financial economics; Portfolio; Equity (law); Business; Economics; Monetary economics; Marketing","score_opus":0.056199360626862635,"score_gpt":0.2515020505728213,"score_spread":0.19530268994595867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485510170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977664,0.00047640226,0.00013362886,0.00011748018,0.000002091574,0.000007376404,0.0001291863,0.0000020031791,0.0013654017],"genre_scores_gemma":[0.9990878,0.0002700682,0.00009626182,0.000028791865,0.0000055027062,0.0000022416723,0.00030291872,0.0000010495661,0.00020533601],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996791,0.000078982746,0.000027695478,0.00006274879,0.00007885127,0.0000726931],"domain_scores_gemma":[0.99132526,0.0043691853,0.0025613087,0.00041939455,0.00061761576,0.00070725294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017483741,0.0002698818,0.00036115578,0.0012551431,0.0005351247,0.0014905483,0.00051326404,0.00046465086,0.0016981087],"category_scores_gemma":[0.005755442,0.00016293065,0.0002805783,0.0013295802,0.0014064279,0.0019376073,0.0012341242,0.0004958714,0.000121320256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002578307,0.0006773601,0.92006457,0.00020983018,0.00050611194,0.0009690904,0.002423553,0.0021924516,0.0017878617,0.016235998,0.0022846814,0.050070122],"study_design_scores_gemma":[0.00022638189,0.00036406188,0.9848275,0.00007759187,0.0002941859,0.00020336933,0.0018404956,0.0019317662,0.0017091763,0.0046477667,0.0038495364,0.000028143804],"about_ca_topic_score_codex":0.008555859,"about_ca_topic_score_gemma":0.012878196,"teacher_disagreement_score":0.008555859,"about_ca_system_score_codex":0.0004769137,"about_ca_system_score_gemma":0.00039841034,"threshold_uncertainty_score":0.01701212},"labels":[],"label_agreement":null},{"id":"W1485710628","doi":"10.2139/ssrn.1102231","title":"Labor Income, Relative Wealth Concerns, and the Cross-section of Stock Returns","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Stock (firearms); Labour economics; Section (typography); Economics; Business; Geography","score_opus":0.02569003414865033,"score_gpt":0.23987856513153885,"score_spread":0.21418853098288854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485710628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953016,0.0008628518,0.0006441866,0.0005090558,0.0000110491,0.0000039960705,0.000063116655,0.0000051194916,0.0025990536],"genre_scores_gemma":[0.99871695,0.000254479,0.000049325903,0.000039203256,0.000030485118,0.000001911829,0.000053890548,0.0000021553938,0.00085155416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997311,0.00009476028,0.000023165558,0.000041743122,0.000037199687,0.0000721099],"domain_scores_gemma":[0.98872924,0.0062794695,0.0031513516,0.0004909357,0.00022964338,0.0011194033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023912645,0.00021103653,0.00031644385,0.0009366058,0.0004573188,0.0018136961,0.00035592774,0.00097236695,0.006180797],"category_scores_gemma":[0.010885947,0.00020098558,0.00032137526,0.0007758666,0.00086412224,0.0015273556,0.0008748206,0.00088087015,0.00047234423],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003154242,0.00015330399,0.97444195,0.000018101986,0.00020057251,0.0004181614,0.0004413618,0.0021054456,0.00055834954,0.011007009,0.0005063035,0.009833899],"study_design_scores_gemma":[0.000016540891,0.00015371406,0.97474325,0.000025911582,0.00012655236,0.0003423217,0.00081440737,0.005230956,0.00036056488,0.01724691,0.0009148846,0.000024090623],"about_ca_topic_score_codex":0.0023222652,"about_ca_topic_score_gemma":0.0034991198,"teacher_disagreement_score":0.006180797,"about_ca_system_score_codex":0.00038321235,"about_ca_system_score_gemma":0.00018183772,"threshold_uncertainty_score":0.020676792},"labels":[],"label_agreement":null},{"id":"W1485901226","doi":"10.2139/ssrn.624901","title":"Does Risk Aversion Vary During the Year? Evidence from Bid-Ask Spreads","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Economics; Volatility (finance); Econometrics; Basis point; Risk aversion (psychology); Bid price; Market liquidity; Discretion; Financial economics; Monetary economics; Expected utility hypothesis; Finance","score_opus":0.01536063052941469,"score_gpt":0.19194586644507663,"score_spread":0.17658523591566194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485901226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960479,0.00065224577,0.00028300655,0.00030167264,0.00001641966,0.0000067438677,0.00041542502,0.000008702255,0.0022679314],"genre_scores_gemma":[0.9979303,0.00044889835,0.00010299574,0.00007842268,0.000027669319,0.0000053368376,0.00045304038,0.000009307468,0.0009439665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993643,0.00020878794,0.00005155326,0.00010673459,0.0001256744,0.00014287353],"domain_scores_gemma":[0.9597571,0.019696135,0.013754217,0.0029441458,0.0012037251,0.0026446707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024786133,0.0003114966,0.0006142699,0.0010497461,0.00054375804,0.0021502748,0.0007602514,0.0013485092,0.006103327],"category_scores_gemma":[0.018889356,0.0005290706,0.0006089645,0.0014223726,0.00064640807,0.0014405093,0.0007229049,0.0015547555,0.0011163083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045918194,0.0009615967,0.96866244,0.00007265677,0.0004986579,0.00029590903,0.0010690385,0.0010848704,0.002720986,0.0021817507,0.0014503734,0.016409928],"study_design_scores_gemma":[0.000040879684,0.00027227055,0.99636096,0.000014168401,0.00008845081,0.00012307614,0.0002931172,0.000476147,0.00033210727,0.0010769443,0.0009025688,0.000019331033],"about_ca_topic_score_codex":0.0066148755,"about_ca_topic_score_gemma":0.0060636112,"teacher_disagreement_score":0.0066148755,"about_ca_system_score_codex":0.00029266466,"about_ca_system_score_gemma":0.00025772367,"threshold_uncertainty_score":0.02041769},"labels":[],"label_agreement":null},{"id":"W1487780631","doi":"","title":"International price discovery in the presence of market microstructure effects","year":2008,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market microstructure; Price discovery; Cholesky decomposition; Econometrics; Order (exchange); Economics; Price formation; Financial economics; Market share; Finance","score_opus":0.013229633724959057,"score_gpt":0.21135247382230982,"score_spread":0.19812284009735076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487780631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833423,0.0006067565,0.011031115,0.0004753225,0.000020458745,0.000019764895,0.00012284289,0.000041189614,0.004340257],"genre_scores_gemma":[0.99831957,0.00016509306,0.0010209568,0.000032019896,0.000026126,0.0000028132945,0.00006961216,0.0000053487092,0.0003583383],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981846,0.00037132614,0.00014919756,0.0004329416,0.00058989564,0.00027197326],"domain_scores_gemma":[0.95910186,0.02193436,0.014275018,0.002512075,0.0016545096,0.0005221868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005807494,0.00024253142,0.0007546829,0.0014495316,0.0005225246,0.0028179286,0.0006668046,0.0009467248,0.0013468022],"category_scores_gemma":[0.042934462,0.00037655278,0.00039819142,0.0016599022,0.001413933,0.0027513562,0.0013078793,0.0009920454,0.00011976793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006942615,0.00016296579,0.8049779,0.00018688504,0.00057672017,0.0025633913,0.0019830894,0.017106919,0.0066970703,0.0586515,0.001788471,0.10461078],"study_design_scores_gemma":[0.00008883284,0.00023048454,0.83177507,0.000045745677,0.00048825785,0.0010783196,0.00082781614,0.09527761,0.009653218,0.057390556,0.0030236943,0.00012029036],"about_ca_topic_score_codex":0.012978043,"about_ca_topic_score_gemma":0.012947153,"teacher_disagreement_score":0.012978043,"about_ca_system_score_codex":0.0013204984,"about_ca_system_score_gemma":0.000717027,"threshold_uncertainty_score":0.03071332},"labels":[],"label_agreement":null},{"id":"W1488325181","doi":"","title":"Ownership, Foreign Listings, and Market Valuation","year":2006,"lang":"en","type":"preprint","venue":"Institutional Repositories DataBase (IRDB)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Cross listing; Equity (law); Business; Monetary economics; Listing (finance); Valuation (finance); Institutional investor; Financial system; Economics; Accounting; Finance","score_opus":0.04916471101269955,"score_gpt":0.2404582049355047,"score_spread":0.19129349392280515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488325181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99858344,0.00023346358,0.000044187545,0.00008791153,0.0000022712036,0.0000025615707,0.00028799087,0.00000630861,0.00075198844],"genre_scores_gemma":[0.9989286,0.00012561385,0.000029774907,0.000013217487,0.0000057915104,0.0000014962505,0.0004411249,0.0000016980955,0.0004526748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980456,0.00003365827,0.000009857932,0.000027359783,0.000046550635,0.000078004865],"domain_scores_gemma":[0.99468684,0.0016433748,0.0023969526,0.000163715,0.0003563707,0.0007528587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065066863,0.00022464716,0.000232929,0.00091486814,0.0004938615,0.0013927813,0.00032729493,0.00036456765,0.0030378064],"category_scores_gemma":[0.0051752673,0.00008757913,0.00023719229,0.0015044013,0.00051722757,0.00062424055,0.00043392778,0.00047370908,0.00021431583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002578947,0.00024980996,0.9850969,0.000015861808,0.000068451125,0.00014479362,0.00017513882,0.002209267,0.00054172,0.00046845892,0.0008512384,0.009920544],"study_design_scores_gemma":[0.000008940336,0.000059663063,0.99543446,0.0000061260257,0.00002981761,0.000036044472,0.00035507843,0.003197163,0.00024270888,0.00025335202,0.00036844966,0.000008219855],"about_ca_topic_score_codex":0.35532442,"about_ca_topic_score_gemma":0.42039454,"teacher_disagreement_score":0.35532442,"about_ca_system_score_codex":0.0024006949,"about_ca_system_score_gemma":0.0008220393,"threshold_uncertainty_score":0.7065124},"labels":[],"label_agreement":null},{"id":"W1488781072","doi":"10.2139/ssrn.878091","title":"Do US Stock Markets Typically Overreact to Corporate News Stories?","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":146,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stock (firearms); Business; Financial system; Monetary economics; Financial economics; Economics; History","score_opus":0.02149593693075267,"score_gpt":0.21404344303278328,"score_spread":0.1925475061020306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488781072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773671,0.0017208746,0.0001801339,0.003950509,0.000115405375,0.000016690505,0.00040372676,0.000024328423,0.016221106],"genre_scores_gemma":[0.99715984,0.0006585363,0.00007671943,0.0008446171,0.00015697011,0.000006143108,0.00025308397,0.00001295537,0.0008311574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988212,0.00033513844,0.0001191435,0.00013728015,0.00033075068,0.00025638138],"domain_scores_gemma":[0.9570938,0.016095132,0.020647628,0.0019376507,0.0024696284,0.0017562646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026198558,0.0002110329,0.00038786916,0.0018423428,0.00048611523,0.0032958337,0.00063256145,0.0015357629,0.0075453087],"category_scores_gemma":[0.047057558,0.00035120902,0.00024377032,0.0019522625,0.0010155864,0.0033121863,0.00081593683,0.0008608478,0.0014040772],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004813962,0.00021671022,0.9465312,0.0000737197,0.0001715215,0.0003809743,0.0017191134,0.00018425928,0.0010276496,0.0028542911,0.006008143,0.040350944],"study_design_scores_gemma":[0.000032431035,0.000070644106,0.989785,0.000024490717,0.00006845193,0.00023643018,0.0024392644,0.00035652326,0.00039393472,0.0022543462,0.0043258937,0.000012513788],"about_ca_topic_score_codex":0.004433378,"about_ca_topic_score_gemma":0.007852745,"teacher_disagreement_score":0.0075453087,"about_ca_system_score_codex":0.00043016506,"about_ca_system_score_gemma":0.00035040118,"threshold_uncertainty_score":0.025241613},"labels":[],"label_agreement":null},{"id":"W1489300869","doi":"10.2139/ssrn.391574","title":"Sources of Time Varying Risk and Risk Premia in U.S. Stock and Bond Markets","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Risk premium; Bond; Stock (firearms); Business; Financial economics; Economics; Monetary economics; Financial system; Finance; Geography","score_opus":0.0075096072157114875,"score_gpt":0.18437841213908276,"score_spread":0.1768688049233713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489300869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987939,0.0023073566,0.002292184,0.0026514945,0.000031517393,0.000018215958,0.0017935596,0.000069175025,0.0028974165],"genre_scores_gemma":[0.9980118,0.0006335181,0.00023894248,0.000037443213,0.000035942023,0.000004874366,0.0004013343,0.000012478744,0.00062353513],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997464,0.000060094335,0.000029093497,0.000052916257,0.00006543964,0.00004607588],"domain_scores_gemma":[0.98901856,0.005128426,0.004081164,0.00043855375,0.0008842506,0.00044916768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001686546,0.00024159487,0.00032600254,0.0018625257,0.00037448204,0.0021876914,0.0004261658,0.0011417043,0.0031212987],"category_scores_gemma":[0.013960462,0.00041949033,0.0003777373,0.002249498,0.00043142829,0.0013894665,0.00076626247,0.0014769159,0.00043440453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010214833,0.00023505703,0.82424,0.00017976016,0.0005478332,0.0011584696,0.0015571365,0.020015536,0.0056318864,0.06733297,0.009517451,0.068562366],"study_design_scores_gemma":[0.00008276079,0.000082788414,0.8813102,0.00007401104,0.00025494304,0.00039376394,0.00090880645,0.050479103,0.0012160055,0.062260624,0.002851462,0.000085474254],"about_ca_topic_score_codex":0.006714073,"about_ca_topic_score_gemma":0.0070625376,"teacher_disagreement_score":0.006714073,"about_ca_system_score_codex":0.00080138876,"about_ca_system_score_gemma":0.00040310403,"threshold_uncertainty_score":0.01335001},"labels":[],"label_agreement":null},{"id":"W1491117145","doi":"10.2139/ssrn.883632","title":"The Forecasting Power of Emerging Market Closed-end Fund Discounts and Capital Market Segmentation","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Closed-end fund; Market segmentation; Business; Market power; Economics; Financial economics; Monetary economics; Finance; Microeconomics; Market liquidity","score_opus":0.013204960796579615,"score_gpt":0.2065326210561593,"score_spread":0.19332766025957968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491117145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888826,0.000527578,0.008053216,0.00037565507,0.000042827778,0.000009021827,0.00015161207,0.000032628013,0.0019249035],"genre_scores_gemma":[0.999027,0.00011274871,0.0003784223,0.000013993883,0.000039674433,0.0000014169044,0.00010406569,0.0000049872133,0.00031775874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999648,0.00009875361,0.000027340606,0.0001180259,0.000050614148,0.00005736171],"domain_scores_gemma":[0.9677563,0.024863759,0.0037097582,0.0012978908,0.001162146,0.0012100482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041588577,0.00038581173,0.0007372824,0.0011169225,0.00037456595,0.0028615189,0.00067651435,0.001164647,0.002217824],"category_scores_gemma":[0.04235713,0.00039410102,0.00046318604,0.00079479103,0.0006566785,0.004214607,0.0006416683,0.0018774512,0.0003082687],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029536448,0.00030186682,0.71336204,0.000099786426,0.00044927179,0.00040428404,0.0013716515,0.14077614,0.0032526182,0.031821407,0.004053647,0.10115367],"study_design_scores_gemma":[0.000057467325,0.00015272999,0.20901054,0.00003762073,0.00012386571,0.00014200191,0.00036565002,0.75067353,0.0013881334,0.03703803,0.00096038636,0.000050106446],"about_ca_topic_score_codex":0.0052131973,"about_ca_topic_score_gemma":0.005422012,"teacher_disagreement_score":0.0052131973,"about_ca_system_score_codex":0.0008956097,"about_ca_system_score_gemma":0.00031825795,"threshold_uncertainty_score":0.021994412},"labels":[],"label_agreement":null},{"id":"W1492382054","doi":"10.1108/20441391111100723","title":"The effect of differentiated margin on futures market investors' behavior and structure","year":2011,"lang":"en","type":"article","venue":"China Finance Review International","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Futures contract; Speculation; Margin (machine learning); Forward market; Economics; Financial economics; Futures market; Position (finance); Business; Finance; Computer science","score_opus":0.01602629386687787,"score_gpt":0.22105631918326876,"score_spread":0.2050300253163909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492382054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974717,0.000048597165,0.0011011156,0.000032369942,0.0000062465397,0.00006378949,0.000029899526,0.000007946595,0.0012382489],"genre_scores_gemma":[0.99785453,0.000035924808,0.0015382437,0.000044016753,0.0000058363653,0.00008254605,0.000032162035,0.0000021459223,0.00040459356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997797,0.00074238237,0.00027636366,0.00043829452,0.0005339408,0.00021210726],"domain_scores_gemma":[0.99057555,0.004001752,0.003116578,0.0012801717,0.00047936532,0.00054665835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032830688,0.0003358891,0.00028572735,0.00023115113,0.00034004968,0.0008826265,0.00036821121,0.0006486134,0.0026476434],"category_scores_gemma":[0.011453395,0.00019463358,0.00028690114,0.00014654918,0.0007436515,0.00086305756,0.000588027,0.00057105435,0.00018263477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.022400789,0.010875983,0.5709042,0.0007840916,0.000472856,0.000684551,0.003539426,0.010071,0.22971939,0.012895397,0.0008041542,0.13684817],"study_design_scores_gemma":[0.0015931481,0.032048006,0.8219397,0.00012365183,0.00054124097,0.00034659047,0.0023443536,0.027039528,0.096262604,0.012667262,0.0049277185,0.00016615975],"about_ca_topic_score_codex":0.0004980932,"about_ca_topic_score_gemma":0.00055394584,"teacher_disagreement_score":0.0032830688,"about_ca_system_score_codex":0.00049505814,"about_ca_system_score_gemma":0.00059255405,"threshold_uncertainty_score":0.017362714},"labels":[],"label_agreement":null},{"id":"W1492665275","doi":"","title":"Return Predictability and the Implied Intertemporal Hedging Demands for Stocks and Bonds: International Evidence","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Predictability; Bond; Economics; Stock (firearms); Financial economics; Dividend yield; Yield (engineering); Dividend; Asset (computer security); Monetary economics; Econometrics; Finance; Dividend policy; Geography","score_opus":0.0635021694776606,"score_gpt":0.3114328423442156,"score_spread":0.24793067286655499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492665275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99242777,0.0011076246,0.00062718807,0.0002862235,0.0000050004596,0.000004532444,0.00034687223,0.00001152522,0.005183328],"genre_scores_gemma":[0.99814284,0.00085381203,0.00018526266,0.00002867786,0.000008858689,0.0000014207546,0.0005131317,0.0000042058296,0.00026194105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996842,0.000052082993,0.000031788757,0.000078403566,0.00010482095,0.000048583923],"domain_scores_gemma":[0.9911566,0.0028639582,0.003811836,0.000923238,0.00095284224,0.0002916473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010803235,0.00030637917,0.00034147454,0.00091578654,0.000371349,0.0013718519,0.00046784844,0.0004629706,0.0016800674],"category_scores_gemma":[0.0077246353,0.0002463902,0.00038605678,0.0021159681,0.00090468425,0.0013277201,0.0005753093,0.0008732579,0.00022592825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019210033,0.00007507492,0.9417718,0.00008717476,0.00024964783,0.0003640367,0.0008505792,0.016887257,0.00075971,0.007979582,0.0010631616,0.02971988],"study_design_scores_gemma":[0.000018570285,0.00010637056,0.96597934,0.0001042024,0.00019096842,0.00025966528,0.00079087174,0.022468586,0.0016684647,0.0044055306,0.003953976,0.000053391785],"about_ca_topic_score_codex":0.060080186,"about_ca_topic_score_gemma":0.05667816,"teacher_disagreement_score":0.060080186,"about_ca_system_score_codex":0.0009280037,"about_ca_system_score_gemma":0.00047463254,"threshold_uncertainty_score":0.11946094},"labels":[],"label_agreement":null},{"id":"W1493248575","doi":"","title":"Time-to-Build and Asset Prices","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Stock (firearms); Capital asset pricing model; Financial economics; Equity premium puzzle; Volatility (finance); Investment (military); Investment theory; Investment strategy; Monetary economics; Market liquidity","score_opus":0.03953574571027866,"score_gpt":0.29036374824852546,"score_spread":0.2508280025382468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493248575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8950223,0.012621727,0.028244102,0.022317283,0.0005022978,0.00003251624,0.0018278075,0.000384742,0.039047267],"genre_scores_gemma":[0.99313486,0.001170572,0.0007932963,0.00027031158,0.00015629402,0.000014800449,0.000374801,0.000049788818,0.0040353006],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997397,0.00005205837,0.000016890712,0.000055006207,0.000071681236,0.00006472766],"domain_scores_gemma":[0.99335515,0.0032736168,0.0017710418,0.0007124116,0.0003218645,0.0005659392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020849907,0.00037530297,0.00083171006,0.0008153547,0.00071437546,0.0027565958,0.0013524875,0.0028967685,0.010941802],"category_scores_gemma":[0.0278664,0.00043340956,0.000685942,0.00094781496,0.0011044929,0.005079948,0.0013011422,0.003982395,0.0008050899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013396215,0.00028390257,0.030167567,0.00019215031,0.0003485397,0.0012274707,0.0007057671,0.048718527,0.004394274,0.8339044,0.03027186,0.0484459],"study_design_scores_gemma":[0.0002543177,0.00009439128,0.035455223,0.00004605461,0.00011973841,0.0005556086,0.00027644524,0.08175543,0.0008204029,0.87216467,0.0083892755,0.00006842877],"about_ca_topic_score_codex":0.0021514804,"about_ca_topic_score_gemma":0.0022069109,"teacher_disagreement_score":0.010941802,"about_ca_system_score_codex":0.0008252009,"about_ca_system_score_gemma":0.000421981,"threshold_uncertainty_score":0.036603987},"labels":[],"label_agreement":null},{"id":"W1493374215","doi":"","title":"Separating Winners from Losers Among Value and Growth Stocks in Canada Another Step in the Value Investing Process","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Value premium; Growth stock; Portfolio; Stock (firearms); Economics; Value (mathematics); Recession; Financial economics; Stock market; Sample (material); Econometrics; Monetary economics; Capital asset pricing model; Statistics; Geography; Mathematics; Stock market bubble","score_opus":0.009806231384861632,"score_gpt":0.18727940592182335,"score_spread":0.1774731745369617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493374215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99613094,0.00019125463,0.000121171244,0.0004421463,0.00000625146,0.000011310564,0.00085198134,0.0000053485696,0.002239616],"genre_scores_gemma":[0.99778783,0.00009286984,0.00012844536,0.000063438245,0.0000037013203,0.000002427098,0.0006265398,0.0000031603806,0.0012916106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932206,0.000027813488,0.000022780103,0.00008413833,0.00027756585,0.00026568113],"domain_scores_gemma":[0.9979619,0.00014050971,0.00046707506,0.00008161361,0.0007836405,0.00056529755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010432558,0.00023447964,0.00031304467,0.0020385843,0.0019376517,0.001701303,0.000674733,0.00029721597,0.0013657829],"category_scores_gemma":[0.0027576892,0.0001407103,0.00034995817,0.0027096416,0.000941459,0.00076626573,0.0010385999,0.0006234079,0.00010338053],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009294647,0.000019947967,0.9862807,0.000015967553,0.000040492312,0.00008419403,0.0014211088,0.0003762511,0.00037782977,0.0008452633,0.0013311289,0.009114222],"study_design_scores_gemma":[0.0000027965443,0.0000128906795,0.9964706,0.000009961088,0.00001451817,0.000016294583,0.0014556324,0.0007131998,0.0001431309,0.000119586024,0.0010316311,0.000009753938],"about_ca_topic_score_codex":0.98528373,"about_ca_topic_score_gemma":0.9936838,"teacher_disagreement_score":0.014716268,"about_ca_system_score_codex":0.013976309,"about_ca_system_score_gemma":0.017692233,"threshold_uncertainty_score":0.10140568},"labels":[],"label_agreement":null},{"id":"W1493503428","doi":"10.2139/ssrn.1786493","title":"What is the Consumption-CAPM Missing? An Information-Theoretic Framework for the Analysis of Asset Pricing Models","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Centre for Economic Policy Research; London School of Economics and Political Science; Princeton University","keywords":"Capital asset pricing model; Consumption-based capital asset pricing model; Economics; Financial economics; Consumption (sociology); Econometrics; Actuarial science; Sociology","score_opus":0.04134080555533682,"score_gpt":0.24803138275854966,"score_spread":0.20669057720321285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493503428","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026571939,0.010504401,0.90826654,0.02982576,0.0006321765,0.000066317116,0.0008742263,0.00014691417,0.023111848],"genre_scores_gemma":[0.87466997,0.018114341,0.08310481,0.0032911354,0.0048661656,0.00023685848,0.00064261205,0.0001916915,0.014882524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978796,0.0011518259,0.00009987362,0.00029339714,0.00038030618,0.00019490762],"domain_scores_gemma":[0.9864515,0.010146954,0.0009944034,0.0009993354,0.000882757,0.0005250785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052276514,0.0012866674,0.0030014194,0.00178323,0.0011508842,0.0060235043,0.003392278,0.0041684564,0.007115372],"category_scores_gemma":[0.025677746,0.0012989944,0.0019966576,0.0028475933,0.0046224175,0.015791837,0.0022161978,0.005736047,0.00076369353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018459445,0.000026442514,0.00020155146,0.00010147904,0.00004284286,0.000056140958,0.000059179383,0.016495585,0.000093371484,0.9750931,0.0023374553,0.005474366],"study_design_scores_gemma":[0.000006055304,0.000007606476,0.000068273446,0.000035271853,0.00001249221,0.000017962777,0.000014191266,0.05462981,0.00002756845,0.94412655,0.0010406334,0.000013415689],"about_ca_topic_score_codex":0.003435086,"about_ca_topic_score_gemma":0.0019903232,"teacher_disagreement_score":0.007115372,"about_ca_system_score_codex":0.0023157299,"about_ca_system_score_gemma":0.00197808,"threshold_uncertainty_score":0.02764684},"labels":[],"label_agreement":null},{"id":"W1493998699","doi":"","title":"Conditions Ensuring the Separability of Asset Demand for All Risk-Averse Investors","year":2004,"lang":"en","type":"article","venue":"Cahiers de recherche","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Basis risk; Asset (computer security); Risk premium; Capital asset pricing model; Consumption-based capital asset pricing model; Econometrics; Investment (military); Variance (accounting); Alternative asset; Economics; Asset allocation; Financial economics; Microeconomics; Actuarial science; Business; Computer science; Portfolio","score_opus":0.1721239032290124,"score_gpt":0.32817135498578476,"score_spread":0.15604745175677237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493998699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5932215,0.00061130937,0.3823213,0.002652973,0.000077635035,0.0001031317,0.001167066,0.00027942442,0.01956563],"genre_scores_gemma":[0.97300965,0.0005625241,0.022506041,0.00019581632,0.0002418641,0.00017739204,0.0008989208,0.00008099122,0.002326885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983394,0.00046922528,0.00012610132,0.00034360812,0.00029424982,0.00042732534],"domain_scores_gemma":[0.9514914,0.03604804,0.005838574,0.002095194,0.0025253312,0.0020015603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004730041,0.0013032735,0.001918001,0.0012955595,0.000653264,0.0025294179,0.00124741,0.001956949,0.0063412585],"category_scores_gemma":[0.042268954,0.0006924219,0.0014767002,0.00083092746,0.0023322839,0.004508765,0.0024623733,0.0023359691,0.0010955835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081554934,0.0006691919,0.025097223,0.00045358774,0.00033566184,0.002496452,0.0009844818,0.09630059,0.022671068,0.8140106,0.005210845,0.030954748],"study_design_scores_gemma":[0.00020735714,0.00025696092,0.010558234,0.00007853272,0.000078517296,0.00089975336,0.0004404375,0.31830692,0.004686569,0.6624747,0.0019090006,0.000102936065],"about_ca_topic_score_codex":0.0012638441,"about_ca_topic_score_gemma":0.00077138696,"teacher_disagreement_score":0.0063412585,"about_ca_system_score_codex":0.00083664147,"about_ca_system_score_gemma":0.0011547238,"threshold_uncertainty_score":0.025015175},"labels":[],"label_agreement":null},{"id":"W1494450812","doi":"10.2139/ssrn.292419","title":"Assessing Asset Pricing Model Misspecification with a Returns Decomposition","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Capital asset pricing model; Econometrics; Financial economics; Economics; Decomposition; Business; Actuarial science","score_opus":0.0322322281607911,"score_gpt":0.25537318446458906,"score_spread":0.22314095630379796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494450812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7273367,0.00009422556,0.27086875,0.00013131097,0.00002101801,0.000044958266,0.00016119656,0.00047369307,0.00086811936],"genre_scores_gemma":[0.97609895,0.000036635203,0.023132704,0.000028362729,0.000018798662,0.000017084396,0.00032796568,0.000071438655,0.0002680579],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970258,0.0018416395,0.00021591235,0.0002452602,0.00047350107,0.00019779532],"domain_scores_gemma":[0.97598785,0.015718743,0.003557611,0.0030775082,0.0011733155,0.0004848348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00865224,0.0009991946,0.0010927208,0.0021001766,0.00024369756,0.0012351272,0.00064688636,0.0011707145,0.0013001345],"category_scores_gemma":[0.03700059,0.0005842068,0.0016830019,0.0011716282,0.0003420545,0.0017068475,0.0013771672,0.0012011554,0.0002935035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011963128,0.00043304777,0.0918219,0.00007197694,0.0010812333,0.0003577303,0.00015423898,0.8179082,0.008238986,0.01295659,0.0011564223,0.064623445],"study_design_scores_gemma":[0.000017197211,0.000082441344,0.00909886,0.0000030675428,0.000047294518,0.000080554324,0.000012370147,0.98801404,0.00063997257,0.0019246982,0.00006905807,0.000010467056],"about_ca_topic_score_codex":0.0019185416,"about_ca_topic_score_gemma":0.0010579586,"teacher_disagreement_score":0.00865224,"about_ca_system_score_codex":0.00050830474,"about_ca_system_score_gemma":0.000683097,"threshold_uncertainty_score":0.04575795},"labels":[],"label_agreement":null},{"id":"W1494528706","doi":"10.2139/ssrn.1393505","title":"Price Manipulation and Industry Momentum: Evidence from the Chinese Stock Market","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Financial economics; Economics; Monetary economics; Stock market; Chinese market; Momentum (technical analysis); Business; China; Law","score_opus":0.022066592765681445,"score_gpt":0.23148873888430574,"score_spread":0.2094221461186243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494528706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971227,0.0006613697,0.0000367112,0.00018295518,0.000008036965,0.000012738384,0.00022225069,0.0000030263154,0.0017500112],"genre_scores_gemma":[0.99860376,0.00065286946,0.000029460534,0.00005220513,0.00005030276,0.0000043281125,0.00033649974,0.000001349744,0.00026919134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996153,0.00003770377,0.000052272466,0.00006243012,0.0001481133,0.00008407944],"domain_scores_gemma":[0.9924896,0.00161319,0.0043819034,0.00038188594,0.00054947747,0.0005840348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009937258,0.00039921387,0.00048513545,0.0028500939,0.0007424201,0.0018215005,0.000616459,0.00085392565,0.004242709],"category_scores_gemma":[0.0054229917,0.00027193208,0.00043719122,0.0037011097,0.0011880158,0.0015937863,0.0009838734,0.0005684678,0.00043858044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005486544,0.00015802345,0.9840933,0.00005997739,0.00013694988,0.00047297258,0.0006540614,0.00012492485,0.0010189177,0.0006534068,0.00039084727,0.011687977],"study_design_scores_gemma":[0.000026917513,0.000053811953,0.99873656,0.000005251051,0.00008921939,0.000067067966,0.0002259716,0.00024125195,0.00014687965,0.0001498782,0.00025072024,0.0000065093186],"about_ca_topic_score_codex":0.028212339,"about_ca_topic_score_gemma":0.024451617,"teacher_disagreement_score":0.028212339,"about_ca_system_score_codex":0.00078677776,"about_ca_system_score_gemma":0.0009882047,"threshold_uncertainty_score":0.056096256},"labels":[],"label_agreement":null},{"id":"W1494789472","doi":"10.1155/2015/371272","title":"Ultrahigh Frequency Data Liquidity Duration Estimation: A Case Study of Chinese A Shares","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Market liquidity; Market microstructure; Liquidity risk; Business; Duration (music); Econometrics; Accounting liquidity; Liquidity crisis; Financial economics; Economics; Order (exchange); Finance","score_opus":0.0906000876347417,"score_gpt":0.2665199872519111,"score_spread":0.17591989961716942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494789472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99706095,0.00009424986,0.0020754763,0.00010197149,0.000001770876,0.000015641159,0.000106172396,0.000014203744,0.000529486],"genre_scores_gemma":[0.9970612,0.00008603346,0.0021882253,0.0000132464975,0.000007727026,0.000007986676,0.00013969911,0.0000049417417,0.00049083406],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963844,0.000109781664,0.000031502357,0.00006661656,0.00009183875,0.000061859224],"domain_scores_gemma":[0.9974693,0.0015601807,0.000325277,0.00020416519,0.00030723974,0.00013372915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012102062,0.00039754118,0.0003038302,0.0015305191,0.00074502366,0.0007585944,0.0007791607,0.00078360416,0.0009877984],"category_scores_gemma":[0.0033067318,0.00015979014,0.00047151782,0.001622407,0.0005616907,0.00094322284,0.0007398937,0.00036808537,0.00012782974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052685855,0.0007679273,0.8141464,0.00022167819,0.00021124881,0.023837043,0.0056763766,0.059396226,0.0076572034,0.0077731963,0.0013162957,0.078469425],"study_design_scores_gemma":[0.0000906141,0.0005180276,0.46708527,0.0000716835,0.0002640291,0.003571426,0.008877241,0.50027794,0.008775901,0.0062039304,0.004121642,0.00014223863],"about_ca_topic_score_codex":0.049795438,"about_ca_topic_score_gemma":0.03941563,"teacher_disagreement_score":0.049795438,"about_ca_system_score_codex":0.0009078792,"about_ca_system_score_gemma":0.00065396546,"threshold_uncertainty_score":0.09901124},"labels":[],"label_agreement":null},{"id":"W1495102727","doi":"","title":"Robust Equilibrium Yield Curves","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Heteroscedasticity; Economics; Econometrics; Volatility (finance); Yield curve; Equity (law); Stochastic volatility; Consumption (sociology); Capital asset pricing model; Bond; Finance","score_opus":0.11387255638964326,"score_gpt":0.2956727913155717,"score_spread":0.18180023492592845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495102727","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27731955,0.0011111313,0.5720815,0.0026664229,0.00009916509,0.00016747703,0.0019230907,0.0021120848,0.14251956],"genre_scores_gemma":[0.9782184,0.00043053096,0.010091744,0.000089612724,0.000041381434,0.000086536325,0.0003698828,0.00020896773,0.010462946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991474,0.00017413592,0.00003264748,0.00025063285,0.00023051139,0.00016475147],"domain_scores_gemma":[0.9973742,0.00092432176,0.0007194477,0.00038278656,0.00042899692,0.00017034027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001747933,0.00082279154,0.0011986792,0.0017383669,0.00078834064,0.002779282,0.0013064924,0.0016623044,0.015114125],"category_scores_gemma":[0.011652495,0.0005354311,0.001118019,0.0007826829,0.001461478,0.0033963188,0.0015892931,0.001332772,0.0021686389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004858336,0.000033275042,0.0008671676,0.000048559774,0.000037061,0.00011865607,0.00014933277,0.22167788,0.002391654,0.7611855,0.0024609205,0.010981252],"study_design_scores_gemma":[0.000024900637,0.000036593716,0.001229089,0.0000300502,0.000019541658,0.00007809414,0.000072644645,0.6785598,0.0012190015,0.31340903,0.005263985,0.000057237314],"about_ca_topic_score_codex":0.0039130556,"about_ca_topic_score_gemma":0.0011610156,"teacher_disagreement_score":0.015114125,"about_ca_system_score_codex":0.0021966312,"about_ca_system_score_gemma":0.00078547763,"threshold_uncertainty_score":0.050561786},"labels":[],"label_agreement":null},{"id":"W1495742920","doi":"10.1002/9780470061602.eqf01007","title":"<scp>S</scp> harpe, <scp>W</scp> illiam <scp>F</scp> .","year":2010,"lang":"en","type":"other","venue":"Encyclopedia of Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":194,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Sharpe ratio; Capital asset pricing model; Portfolio; Economics; Financial economics; Microeconomics; Mathematical economics","score_opus":0.026693933363088607,"score_gpt":0.24467573650492627,"score_spread":0.21798180314183765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495742920","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001382027,0.00937827,0.007037084,0.02531746,0.008290352,0.0000780079,0.0037164541,0.0009944754,0.9438059],"genre_scores_gemma":[0.013258048,0.007192427,0.002558765,0.0016046546,0.0015697499,0.00006128983,0.0014423159,0.0004311992,0.97188157],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993424,0.0000773391,0.000021489428,0.00015813073,0.00033719084,0.00006352732],"domain_scores_gemma":[0.997973,0.0003575475,0.00009493516,0.00017467562,0.0010961471,0.0003035854],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006689041,0.00065044785,0.0006382065,0.0017930262,0.0011447743,0.0035161986,0.00078880164,0.0013234729,0.40240088],"category_scores_gemma":[0.0039346465,0.00018094199,0.0002529988,0.0026318266,0.00063597446,0.00174309,0.0011794318,0.0014405628,0.20944548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025855928,0.000026398297,0.00016940624,0.00010169344,0.0000033648582,0.000086326676,0.000034122957,0.00034576573,0.00019854124,0.02165033,0.8505952,0.12676291],"study_design_scores_gemma":[0.0000044062726,0.0000067510837,0.0004139851,0.00009345929,0.0000022255874,0.00008150141,0.000040766306,0.00056464114,0.0005042717,0.0074898177,0.9907883,0.000009927018],"about_ca_topic_score_codex":0.0075969235,"about_ca_topic_score_gemma":0.011662329,"teacher_disagreement_score":0.59759915,"about_ca_system_score_codex":0.0028469423,"about_ca_system_score_gemma":0.001718991,"threshold_uncertainty_score":0.8524026},"labels":[],"label_agreement":null},{"id":"W1495912635","doi":"10.3390/jrfm1010100","title":"Active Versus Passive Investing - An Analysis of UK Equity Markets, 1991-2005","year":2008,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Stock (firearms); Market capitalization; Business; Economics; Financial economics; Monetary economics; Stock market; Geography","score_opus":0.036578115175786456,"score_gpt":0.24288921245338538,"score_spread":0.20631109727759891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495912635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927412,0.0016160052,0.00011490886,0.00012540785,0.00001137908,0.000014364806,0.003417718,0.000008300687,0.001950698],"genre_scores_gemma":[0.99134845,0.0009692707,0.000110342255,0.00005846133,0.000024572504,0.00001368262,0.0050558327,0.000004513151,0.002415019],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948764,0.00004269595,0.0001112361,0.00009388903,0.000155367,0.00010911644],"domain_scores_gemma":[0.9954749,0.0006189121,0.0026791727,0.00013934802,0.00075686263,0.00033077056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068782887,0.00029172475,0.00033940273,0.0034570473,0.00029575627,0.0012408745,0.0003974345,0.00057846075,0.002492806],"category_scores_gemma":[0.0038558396,0.00019920497,0.00038439687,0.0034825257,0.0002969517,0.0012020762,0.0009673162,0.00034303957,0.0007422581],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048498495,0.00005861039,0.9653108,0.0002338188,0.000099853496,0.00077033864,0.0013795856,0.00055537873,0.0010666186,0.0005014998,0.0023766204,0.027161885],"study_design_scores_gemma":[0.0000026310327,0.00003785586,0.9978527,0.000024544219,0.000010643881,0.00018075772,0.00024205708,0.00018453214,0.00010280747,0.000019213676,0.0013374477,0.000004928733],"about_ca_topic_score_codex":0.044162314,"about_ca_topic_score_gemma":0.08137298,"teacher_disagreement_score":0.044162314,"about_ca_system_score_codex":0.0010347753,"about_ca_system_score_gemma":0.00044124472,"threshold_uncertainty_score":0.08781052},"labels":[],"label_agreement":null},{"id":"W149611997","doi":"","title":"Optimal Market Structure: Does One Shoe Fit All?","year":2002,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immediacy; Alternative trading system; Order (exchange); Algorithmic trading; Electronic trading; Business; Trading strategy; High-frequency trading; Trading turret; Anonymity; Open outcry; Computer science; Finance; Computer security","score_opus":0.045914958307415175,"score_gpt":0.20413065387884335,"score_spread":0.15821569557142817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W149611997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5643899,0.009091077,0.11104715,0.13564807,0.0005642867,0.00023224454,0.00071554293,0.00033661202,0.17797509],"genre_scores_gemma":[0.98341274,0.0011522905,0.009754512,0.001802764,0.00019610928,0.000039751878,0.00007726626,0.0000763441,0.0034882114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989126,0.0004249329,0.000044537446,0.00021248155,0.00024297948,0.00016253255],"domain_scores_gemma":[0.995402,0.0018089792,0.0010115602,0.00038974048,0.000516286,0.0008714425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018996702,0.00049188687,0.0012091115,0.0008444042,0.0012876703,0.0051306784,0.0009694989,0.0023060443,0.014520928],"category_scores_gemma":[0.017441511,0.00038897112,0.0005058622,0.00055897626,0.004596902,0.012475821,0.0019586354,0.0017565198,0.0015843674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052339863,0.00046361462,0.031147456,0.0004103618,0.00024280066,0.00034715878,0.001294875,0.008773774,0.0014484539,0.81319517,0.015817884,0.12633517],"study_design_scores_gemma":[0.000106309395,0.00010968475,0.0066193556,0.00007875756,0.000036419617,0.00015120092,0.0012148714,0.009187638,0.00017609453,0.9752226,0.0070705977,0.000026486408],"about_ca_topic_score_codex":0.0015300383,"about_ca_topic_score_gemma":0.0030337612,"teacher_disagreement_score":0.014520928,"about_ca_system_score_codex":0.0014215154,"about_ca_system_score_gemma":0.001614056,"threshold_uncertainty_score":0.04857731},"labels":[],"label_agreement":null},{"id":"W1496780527","doi":"10.2139/ssrn.1094946","title":"Markup Pricing Revisited","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Markup language; Negotiation; Term (time); Liberian dollar; Monetary economics; Stock (firearms); Stock price; Economics; Tender offer; Business; Microeconomics; Financial economics; XML; Finance; Computer science","score_opus":0.019324697464349547,"score_gpt":0.19974201868955202,"score_spread":0.1804173212252025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496780527","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12196359,0.017355781,0.25631613,0.0931205,0.003990792,0.00005501083,0.0004520282,0.00065125525,0.5060949],"genre_scores_gemma":[0.89691085,0.0033471887,0.011970259,0.0030619705,0.004380036,0.000039756735,0.00008683793,0.00020790393,0.07999519],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985273,0.000443585,0.0000793814,0.00028727358,0.00048269157,0.00017979385],"domain_scores_gemma":[0.9953354,0.0025838793,0.00032754737,0.00087784807,0.00064243237,0.00023285873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024143036,0.0007495207,0.0012267207,0.0011887827,0.001438082,0.0060831043,0.00221228,0.005648592,0.017416801],"category_scores_gemma":[0.015209455,0.0005317942,0.0009594237,0.001558674,0.0032830578,0.011601697,0.002115336,0.0063115023,0.0016010358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073193896,0.000006241106,0.00005942985,0.000008866028,0.0000050878853,0.000047663867,0.000038989583,0.0005058957,0.000064705746,0.99270636,0.0019391578,0.004610133],"study_design_scores_gemma":[0.0000046687574,0.0000045215,0.00011037899,0.000013324961,0.0000069035436,0.00006747197,0.000024827967,0.0058181235,0.00011816126,0.98936313,0.0044611227,0.0000074155173],"about_ca_topic_score_codex":0.0011494556,"about_ca_topic_score_gemma":0.00074820337,"teacher_disagreement_score":0.017416801,"about_ca_system_score_codex":0.0012191132,"about_ca_system_score_gemma":0.00071608805,"threshold_uncertainty_score":0.05826503},"labels":[],"label_agreement":null},{"id":"W149794494","doi":"","title":"Electronic trading, liquidity and information efficiency : evidence from the Montreal exchange","year":2007,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electronic trading; Open outcry; Market liquidity; Alternative trading system; Futures contract; Algorithmic trading; Business; Trading turret; Equity (law); Electronic markets; Financial economics; Flash trading; Dark liquidity; Economics; The Internet; Finance; Computer science","score_opus":0.03475652170046703,"score_gpt":0.25504837987916495,"score_spread":0.22029185817869792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W149794494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949515,0.00024137126,0.00009345463,0.00018114374,0.0000020944794,0.000010977188,0.00015075803,0.0000040926498,0.0043646772],"genre_scores_gemma":[0.9977926,0.0002340399,0.00010458689,0.000030216257,0.000011115134,0.000004240862,0.0002958987,0.0000026221524,0.0015248187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995708,0.00011371557,0.000025189702,0.000044744935,0.00018657703,0.00005894627],"domain_scores_gemma":[0.99335176,0.0027232035,0.0024367576,0.00043559913,0.00065666955,0.00039606795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011269641,0.00025113506,0.00020617778,0.001066191,0.00080540916,0.0017314466,0.00050642714,0.00044299097,0.0037409377],"category_scores_gemma":[0.007954225,0.00013684283,0.00015126476,0.0016108174,0.0008807271,0.0011282003,0.0007216656,0.00051994674,0.0002785462],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015012417,0.000789452,0.92098606,0.00012562671,0.00028898538,0.0015394838,0.005363755,0.006337705,0.0029959977,0.006604308,0.003231767,0.050235666],"study_design_scores_gemma":[0.00006866723,0.00020916564,0.9903994,0.000022621427,0.00006162444,0.00011919331,0.0019913276,0.002703001,0.0007626353,0.00063685566,0.0029873233,0.000038247654],"about_ca_topic_score_codex":0.2567096,"about_ca_topic_score_gemma":0.3038883,"teacher_disagreement_score":0.7432904,"about_ca_system_score_codex":0.0020289556,"about_ca_system_score_gemma":0.00073533383,"threshold_uncertainty_score":0.5104308},"labels":[],"label_agreement":null},{"id":"W1501590812","doi":"","title":"Price Distortions in High-Frequency Markets","year":2012,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Business; Monetary economics; Financial economics","score_opus":0.019350000399576288,"score_gpt":0.209178599430277,"score_spread":0.1898285990307007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501590812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9721781,0.00037587198,0.023414321,0.0005691872,0.000024671252,0.000019402547,0.00004101761,0.000050550625,0.0033269497],"genre_scores_gemma":[0.9984297,0.00007648963,0.0011555931,0.000019265368,0.000018948425,0.0000031825452,0.0000112366715,0.000005433813,0.00028014655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9988526,0.00041293277,0.000054937173,0.00015270633,0.00033352987,0.00019331228],"domain_scores_gemma":[0.96803725,0.019715259,0.0077068694,0.0026844158,0.0010043846,0.0008517679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028805428,0.0004049991,0.00071568,0.0007879621,0.00044481116,0.002227958,0.00086776353,0.0012750262,0.0018897266],"category_scores_gemma":[0.03640613,0.00042032872,0.0005575205,0.0007232805,0.0022330603,0.0040945807,0.0013684044,0.001653145,0.00016232139],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001264431,0.00057888794,0.053252697,0.0002259063,0.00034470193,0.0020559249,0.0012727588,0.5606432,0.0154500855,0.32102072,0.0019458145,0.041944947],"study_design_scores_gemma":[0.00013570566,0.00020089766,0.028799774,0.000022475995,0.00005548292,0.0005838896,0.00030469592,0.7316906,0.0021532236,0.2352091,0.0007430595,0.00010102018],"about_ca_topic_score_codex":0.002669289,"about_ca_topic_score_gemma":0.0012176492,"teacher_disagreement_score":0.0028805428,"about_ca_system_score_codex":0.0015608015,"about_ca_system_score_gemma":0.0003827835,"threshold_uncertainty_score":0.015233934},"labels":[],"label_agreement":null},{"id":"W1503155158","doi":"","title":"Market Jump Risk and the Price Structure of Individual Equity Options","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Equity (law); Equity risk; Economics; Jump; Jump diffusion; Volatility (finance); Financial economics; Market risk; Valuation of options; Econometrics; Risk premium; Private equity; Finance","score_opus":0.010763465815647766,"score_gpt":0.21600694871478154,"score_spread":0.20524348289913377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503155158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9446347,0.0003183824,0.051893264,0.00032196523,0.000010424563,0.000012008121,0.00007133543,0.00007616158,0.0026618391],"genre_scores_gemma":[0.99816316,0.00007292952,0.001003022,0.000008804695,0.000009467588,0.000002795189,0.000031007457,0.000004987603,0.0007037969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997794,0.000052880776,0.00000960761,0.000048062062,0.0000548035,0.000055148004],"domain_scores_gemma":[0.99760926,0.0013912267,0.0005618928,0.00015920021,0.00012409597,0.00015429858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089722266,0.00033330038,0.0003707522,0.00062951073,0.00017831822,0.0014616826,0.00055486505,0.001015718,0.0028920895],"category_scores_gemma":[0.006264768,0.00026902786,0.00059415115,0.0004172386,0.000815373,0.002656942,0.0006595703,0.0010008018,0.00030231697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003997092,0.0002783365,0.1355413,0.00013004954,0.00038160075,0.0014775165,0.000677067,0.46077454,0.0239331,0.33495644,0.0009980316,0.04045226],"study_design_scores_gemma":[0.00003199794,0.00008765349,0.053665634,0.000013864725,0.000065656764,0.00035599715,0.0000816325,0.7677812,0.0018118276,0.17555149,0.00050580176,0.00004719861],"about_ca_topic_score_codex":0.0019917171,"about_ca_topic_score_gemma":0.0014289899,"teacher_disagreement_score":0.0028920895,"about_ca_system_score_codex":0.0005406909,"about_ca_system_score_gemma":0.0002577426,"threshold_uncertainty_score":0.009674966},"labels":[],"label_agreement":null},{"id":"W1503358237","doi":"10.2139/ssrn.1344134","title":"Macroeconomic Risk and the Cross-Section of Stock Returns","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Kwangwoon University","keywords":"Stock (firearms); Economics; Section (typography); Financial economics; Monetary economics; Econometrics; Business; Engineering","score_opus":0.009871976167981794,"score_gpt":0.2155280949938653,"score_spread":0.2056561188258835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503358237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905901,0.002505944,0.0031100963,0.00085209403,0.00003677756,0.0000076306005,0.00023826692,0.000042111595,0.0026171121],"genre_scores_gemma":[0.99758184,0.0007193086,0.00013392817,0.00004634352,0.00008872911,0.000003400767,0.00019483292,0.0000081558455,0.0012233162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964535,0.00011878599,0.00003079651,0.00007253629,0.00005562383,0.000076899654],"domain_scores_gemma":[0.98692584,0.007800735,0.002983714,0.0008453981,0.0004536945,0.0009906093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026389945,0.00033411928,0.00049592555,0.0011699973,0.00026906325,0.0021046975,0.000409944,0.0014833566,0.0047061606],"category_scores_gemma":[0.012310181,0.00038941635,0.0006776656,0.0010909957,0.00053184107,0.0014544466,0.0009895072,0.0012526213,0.0010269104],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006312243,0.00019264386,0.9238898,0.000057056364,0.0010031706,0.00078655937,0.00027904293,0.028291656,0.002167169,0.024153817,0.0014761687,0.017071687],"study_design_scores_gemma":[0.000035076908,0.00018017559,0.90045595,0.000035839625,0.00030516632,0.00059378473,0.00023413337,0.060548864,0.00072118494,0.035572592,0.0012557267,0.00006154681],"about_ca_topic_score_codex":0.0019549858,"about_ca_topic_score_gemma":0.001825532,"teacher_disagreement_score":0.0047061606,"about_ca_system_score_codex":0.00040849688,"about_ca_system_score_gemma":0.00019553574,"threshold_uncertainty_score":0.015743732},"labels":[],"label_agreement":null},{"id":"W1503615460","doi":"","title":"Capturing Non-Linearity in the Term Structure of Interest Rates: A Fuzzy Logic Method of Estimating the Yield Curve","year":2003,"lang":"en","type":"article","venue":"Computing in Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Yield curve; Bootstrapping (finance); Fuzzy logic; Term (time); Coupon; Function (biology); Mathematics; Bond valuation; Cluster analysis; Econometrics; Mathematical optimization; Applied mathematics; Computer science; Bond; Economics; Statistics; Finance","score_opus":0.0647102218686725,"score_gpt":0.2670036436100962,"score_spread":0.20229342174142373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503615460","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070592077,0.0000500279,0.9924154,0.000048605463,0.000003897234,0.00000757515,0.000016870341,0.000041467705,0.00035682818],"genre_scores_gemma":[0.3192612,0.00028167648,0.6789518,0.00008464401,0.000065057575,0.000076958786,0.0001230449,0.000060979233,0.0010947144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987212,0.00047832794,0.000076232274,0.00023980679,0.00042557405,0.000058845915],"domain_scores_gemma":[0.99574786,0.0028736654,0.00044567918,0.00039538986,0.0004788125,0.000058512982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036967676,0.00047949643,0.00066823984,0.002094254,0.00051914377,0.0012241015,0.0011348758,0.0007949167,0.0009346513],"category_scores_gemma":[0.0139539195,0.00037552466,0.00076925004,0.0010002508,0.0007654896,0.0020737238,0.00063306233,0.0015801964,0.00025214633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012881443,0.00009768146,0.0059881024,0.0001212914,0.00016306607,0.00013560151,0.00061209995,0.49797654,0.01440761,0.14602746,0.0008417558,0.33349994],"study_design_scores_gemma":[0.000009759786,0.000023977484,0.0011942002,0.000015103024,0.00002041318,0.000050931503,0.000025233803,0.956416,0.0025755751,0.038578615,0.0010611663,0.000029034043],"about_ca_topic_score_codex":0.0040008994,"about_ca_topic_score_gemma":0.0026085551,"teacher_disagreement_score":0.0040008994,"about_ca_system_score_codex":0.0010122538,"about_ca_system_score_gemma":0.00073388126,"threshold_uncertainty_score":0.019550622},"labels":[],"label_agreement":null},{"id":"W1503972935","doi":"10.2139/ssrn.2173546","title":"Investors’ Demand for Sell-Side Research: SEC Filings, Media Coverage, and Market Factors","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Business; Demand side; Supply side; Commerce; Financial system; Finance; Economics; Microeconomics","score_opus":0.06512047784810085,"score_gpt":0.26931904167570186,"score_spread":0.20419856382760102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503972935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856523,0.0010339082,0.00024121354,0.0039080866,0.000023423527,0.000013920544,0.0011027589,0.000015679749,0.008008734],"genre_scores_gemma":[0.9971117,0.0004112526,0.000044493838,0.00014484358,0.00013003495,0.0000047297203,0.00059323513,0.0000066841176,0.001553038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891865,0.00025711674,0.00019365888,0.00012138318,0.00023748024,0.0002717738],"domain_scores_gemma":[0.90094054,0.04764502,0.040540397,0.0015450123,0.0030324713,0.0062965695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028538746,0.00019397626,0.0004110176,0.0021230318,0.00055826973,0.0037284312,0.00066648755,0.0019251187,0.019607704],"category_scores_gemma":[0.022719426,0.00024405311,0.0004759405,0.002040133,0.0007783852,0.0021536127,0.0007251605,0.0017405546,0.001978129],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040599887,0.00024546738,0.98872405,0.000036434674,0.00010910942,0.00025839685,0.00019585119,0.0004311788,0.00043093567,0.00085046457,0.0009788739,0.0073332665],"study_design_scores_gemma":[0.000058121226,0.00019394243,0.9894811,0.000042804113,0.00017959028,0.00045405954,0.0016254288,0.0023994758,0.0009601923,0.001661406,0.0029131817,0.000030652947],"about_ca_topic_score_codex":0.0051612095,"about_ca_topic_score_gemma":0.008264345,"teacher_disagreement_score":0.019607704,"about_ca_system_score_codex":0.0008280847,"about_ca_system_score_gemma":0.000581518,"threshold_uncertainty_score":0.065594256},"labels":[],"label_agreement":null},{"id":"W1504214527","doi":"10.2139/ssrn.2291690","title":"Are Institutional Investors Truly Skilled or Merely Opportunistic?","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Quarter (Canadian coin); Earnings; Business; Institutional investor; Investment (military); Monetary economics; Contrast (vision); Economics; Accounting; Finance; Corporate governance","score_opus":0.03729783751347636,"score_gpt":0.2169242528547311,"score_spread":0.17962641534125473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504214527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6759474,0.0031471243,0.019840468,0.051064827,0.00044935077,0.000093843126,0.00045579384,0.00023361907,0.2487675],"genre_scores_gemma":[0.9899564,0.00048585315,0.0004628884,0.0027152544,0.00016523432,0.000011390017,0.00003837505,0.000007906929,0.0061567132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99876535,0.00023597352,0.000048284044,0.00018872283,0.00023662616,0.00052508124],"domain_scores_gemma":[0.98061544,0.007859442,0.0064912452,0.0016510438,0.0013303612,0.002052544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029111302,0.00015909475,0.0002987535,0.000564389,0.0005555527,0.0039564273,0.0005839026,0.0018575336,0.010270492],"category_scores_gemma":[0.0217282,0.0001583308,0.00016068625,0.00044146203,0.002312457,0.0045285,0.00092333584,0.00093636574,0.0015097355],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063333934,0.00038646715,0.24945602,0.00043338753,0.00029179905,0.001901478,0.0032296348,0.0019248537,0.0018424194,0.45148462,0.048369344,0.24004665],"study_design_scores_gemma":[0.00019980587,0.00030282827,0.109417945,0.00046070843,0.00017591302,0.0024486063,0.008876438,0.0074145505,0.0028470121,0.8008224,0.066939995,0.00009380918],"about_ca_topic_score_codex":0.0011193638,"about_ca_topic_score_gemma":0.0022199072,"teacher_disagreement_score":0.010270492,"about_ca_system_score_codex":0.00053165405,"about_ca_system_score_gemma":0.000843311,"threshold_uncertainty_score":0.034358263},"labels":[],"label_agreement":null},{"id":"W1504636879","doi":"10.1093/acprof:osobl/9780199844333.003.0017","title":"Do Bubbles Lead to Overinvestment? A Revealed Preference Approach","year":2011,"lang":"en","type":"article","venue":"Oxford University Press eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Stock market; Stock (firearms); Monetary economics; Investment (military); Investment decisions; Capital market; Financial economics; Microeconomics; Behavioral economics; Finance","score_opus":0.11680604588864689,"score_gpt":0.1962316777777429,"score_spread":0.079425631889096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504636879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7627377,0.006657529,0.18522704,0.020285439,0.00031005064,0.0001350265,0.0009692964,0.00023755182,0.023440382],"genre_scores_gemma":[0.9932382,0.00109482,0.0023483066,0.0004055057,0.00018784462,0.000020071988,0.000050165356,0.000012385253,0.002642815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838424,0.00089776446,0.00007735543,0.00020831579,0.00016395771,0.0002683292],"domain_scores_gemma":[0.91807,0.06973442,0.0070532477,0.0023669926,0.0014611281,0.0013140889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062614144,0.0005331618,0.0017598497,0.0012715026,0.0005828028,0.0032883687,0.001200197,0.0037742225,0.012335292],"category_scores_gemma":[0.044039324,0.00075083214,0.001251793,0.0012894217,0.0020856417,0.005965147,0.0008293869,0.002644871,0.0005972138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033232723,0.00045983543,0.05802333,0.0008049701,0.0014137768,0.001958448,0.0013515545,0.0595258,0.0017398881,0.77025765,0.009668328,0.09147305],"study_design_scores_gemma":[0.00024452334,0.00026959396,0.011851178,0.000060125258,0.00039599388,0.0003657657,0.00069565,0.18924753,0.0005270624,0.79486936,0.0013954334,0.00007774564],"about_ca_topic_score_codex":0.0027645496,"about_ca_topic_score_gemma":0.0027200358,"teacher_disagreement_score":0.012335292,"about_ca_system_score_codex":0.0009372485,"about_ca_system_score_gemma":0.00053484045,"threshold_uncertainty_score":0.041265666},"labels":[],"label_agreement":null},{"id":"W1505187760","doi":"10.2139/ssrn.297719","title":"Aftermarket Volatility and Underpricing of Canadian Initial Public Offerings","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Initial public offering; Business; Volatility (finance); Financial system; Monetary economics; Accounting; Financial economics; Economics; Finance","score_opus":0.03568539785350757,"score_gpt":0.1965621410240409,"score_spread":0.16087674317053333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505187760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952565,0.00020965007,0.00004921053,0.0003237779,0.000008004354,0.0000075565886,0.0006312972,0.000010797363,0.0035031787],"genre_scores_gemma":[0.99806195,0.00010935638,0.000029461797,0.000023555729,0.000015861422,0.0000016267874,0.0004031146,0.000005776853,0.001349273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994542,0.00003432702,0.000021497777,0.000059212754,0.00023523766,0.00019560597],"domain_scores_gemma":[0.98681426,0.0042037624,0.003323478,0.0004437431,0.0033996743,0.0018150072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013098901,0.0002540176,0.00038293735,0.0014881762,0.0013013645,0.0033373607,0.0007806363,0.00089577655,0.0063104406],"category_scores_gemma":[0.015595232,0.00022323453,0.00043028075,0.0020599037,0.00055344525,0.0009067018,0.00043964258,0.0013423484,0.0003735794],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002854964,0.0006083719,0.93679893,0.00006947239,0.00018101839,0.00071639067,0.0022779359,0.0069768447,0.002786678,0.008869809,0.009664913,0.028194655],"study_design_scores_gemma":[0.000020446425,0.00004698578,0.99243414,0.000009852212,0.00004528972,0.00005024492,0.00062970514,0.004186847,0.00035002508,0.0006254005,0.001563169,0.000037817237],"about_ca_topic_score_codex":0.9133381,"about_ca_topic_score_gemma":0.92314404,"teacher_disagreement_score":0.086661875,"about_ca_system_score_codex":0.01518179,"about_ca_system_score_gemma":0.008330991,"threshold_uncertainty_score":0.17434442},"labels":[],"label_agreement":null},{"id":"W1506363328","doi":"10.1111/j.1540-5982.2010.01591.x","title":"Measuring the cost of economic fluctuations with preferences that rationalize the equity premium","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Equity premium puzzle; Welfare; Asset (computer security); Business cycle; Equity (law); Econometrics; Aggregate (composite); Capital asset pricing model; Microeconomics; Monetary economics; Macroeconomics","score_opus":0.2244439493032146,"score_gpt":0.20271133268996758,"score_spread":0.02173261661324702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506363328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97709936,0.000077314515,0.017479332,0.00038699605,0.000009026117,0.00002085354,0.000070854476,0.000021613949,0.0048347134],"genre_scores_gemma":[0.99888426,0.000014216644,0.00091659394,0.000013677306,0.0000027022827,0.00000317753,0.000013963678,0.000001773766,0.0001495956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945134,0.0002533694,0.00002529149,0.00008671019,0.00009948247,0.00008387017],"domain_scores_gemma":[0.9926247,0.004745995,0.0012508277,0.0006868523,0.00036105298,0.00033050237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018792062,0.00030624395,0.0002617727,0.0003639362,0.00021711321,0.0014880905,0.0004078922,0.0006950791,0.0023945577],"category_scores_gemma":[0.016219184,0.0001714932,0.00025634666,0.00045188447,0.0007949432,0.0011814052,0.00062740926,0.0010365888,0.000114579474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012929778,0.00056639593,0.23676072,0.000120285855,0.0003693295,0.00039733594,0.00050894753,0.38686547,0.014719921,0.30211544,0.0017036719,0.054579552],"study_design_scores_gemma":[0.00008741583,0.0003515592,0.121460855,0.00002458712,0.00011297797,0.00011809732,0.00049882266,0.6540448,0.005849541,0.21656896,0.0008075095,0.00007486026],"about_ca_topic_score_codex":0.0036543524,"about_ca_topic_score_gemma":0.001763442,"teacher_disagreement_score":0.0036543524,"about_ca_system_score_codex":0.0014654255,"about_ca_system_score_gemma":0.00042114488,"threshold_uncertainty_score":0.010632455},"labels":[],"label_agreement":null},{"id":"W1506964742","doi":"10.2139/ssrn.891003","title":"Does Analyst Disclosure Matter? A Real-Time Analysis","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Computer science; Psychology; Business","score_opus":0.0067176988580409545,"score_gpt":0.20551540946668612,"score_spread":0.19879771060864515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506964742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98815197,0.0020968327,0.0020486093,0.0034006876,0.00010049504,0.000042889536,0.0015450765,0.00004491905,0.0025685213],"genre_scores_gemma":[0.99756324,0.0002751716,0.000101804566,0.00011555612,0.00010684076,0.000010196649,0.00046300824,0.000012206131,0.0013520223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781007,0.0008207256,0.00016045726,0.0004191582,0.00027931586,0.0005103588],"domain_scores_gemma":[0.8886224,0.081420794,0.022034466,0.003264608,0.0021962998,0.0024614462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059806677,0.00051019783,0.0013633118,0.0011260712,0.0004757212,0.0030773953,0.0012115603,0.003400272,0.010803467],"category_scores_gemma":[0.04375205,0.00040757042,0.0015934128,0.0017562046,0.0010060152,0.0027532866,0.0008396687,0.0031667524,0.0017715085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008863118,0.00090543955,0.9357186,0.00027866688,0.0018429228,0.0014147068,0.00094776065,0.010551563,0.0027323083,0.0069111194,0.0060181487,0.023815624],"study_design_scores_gemma":[0.0004330933,0.0019631006,0.89776397,0.00006569546,0.0018347448,0.0015550752,0.001481487,0.077579245,0.0015488382,0.010706923,0.004939654,0.00012800872],"about_ca_topic_score_codex":0.003372781,"about_ca_topic_score_gemma":0.0026235525,"teacher_disagreement_score":0.010803467,"about_ca_system_score_codex":0.0005443593,"about_ca_system_score_gemma":0.00054198445,"threshold_uncertainty_score":0.036141157},"labels":[],"label_agreement":null},{"id":"W1510781086","doi":"10.2139/ssrn.263527","title":"Micro-Investors and Incomplete Markets","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Business; Incomplete markets; Financial system; Financial economics; Monetary economics; Economics; Microeconomics","score_opus":0.01668792681673485,"score_gpt":0.19939426311120237,"score_spread":0.18270633629446753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510781086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6999666,0.007863817,0.23338702,0.023375208,0.00029118275,0.00014050856,0.0008776729,0.00030547427,0.033792395],"genre_scores_gemma":[0.9865428,0.0015809637,0.0035817393,0.00028962188,0.00029067253,0.00003696886,0.00010289725,0.000016327776,0.0075578876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990338,0.00044462192,0.00007059834,0.00015246785,0.00014723813,0.00015128164],"domain_scores_gemma":[0.9586459,0.02748791,0.009424283,0.0020450004,0.0011513642,0.0012455712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006021027,0.00039439564,0.0017448016,0.00078896666,0.00053423387,0.002964786,0.000990024,0.0025017692,0.010452181],"category_scores_gemma":[0.03465554,0.0006266996,0.00060662534,0.0006652073,0.0022327579,0.0074911383,0.0012529781,0.0021710715,0.000506402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012352661,0.0000674545,0.007840083,0.00010467044,0.00009498124,0.00053501467,0.00019252319,0.030045498,0.00017091422,0.9452961,0.0037080897,0.01182108],"study_design_scores_gemma":[0.00006885297,0.000030301591,0.0015330989,0.0000206462,0.000027924187,0.00013614153,0.00008657727,0.081653245,0.000121408935,0.9151608,0.001145389,0.000015608457],"about_ca_topic_score_codex":0.0016006328,"about_ca_topic_score_gemma":0.0018301463,"teacher_disagreement_score":0.010452181,"about_ca_system_score_codex":0.000850639,"about_ca_system_score_gemma":0.00071044354,"threshold_uncertainty_score":0.03496605},"labels":[],"label_agreement":null},{"id":"W1511976147","doi":"10.2139/ssrn.314761","title":"Executive Stock Option Valuation Under Multiple Severance Risks","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Severance; Valuation (finance); Business; Stock options; Actuarial science; Stock (firearms); Economics; Financial economics; Finance; Engineering; Labour economics","score_opus":0.05041957972781756,"score_gpt":0.2563102397904608,"score_spread":0.20589066006264323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1511976147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98638934,0.00015665822,0.009567586,0.00021725504,0.000012081072,0.0000069658913,0.000045792287,0.000025221441,0.0035789441],"genre_scores_gemma":[0.99890566,0.000032640422,0.00038141728,0.000004100084,0.000014655155,0.0000017654282,0.000017000992,0.0000021086635,0.00064059667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99956185,0.00014711967,0.000037190304,0.00006045627,0.00009486213,0.00009850601],"domain_scores_gemma":[0.99517006,0.0026909527,0.0010926275,0.00031863782,0.00028044515,0.00044731444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025003941,0.00059557956,0.00076991634,0.0007726063,0.0002237278,0.002829517,0.00057404296,0.0011824679,0.0033232097],"category_scores_gemma":[0.010164446,0.00028293036,0.0004555108,0.0006069358,0.000577092,0.0039199255,0.0008144361,0.0011167825,0.00016469238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042076325,0.0008676509,0.13932972,0.00018409098,0.00042348966,0.0079179155,0.000842049,0.39429843,0.03202214,0.331692,0.0017575722,0.08645726],"study_design_scores_gemma":[0.00011856626,0.0005427172,0.05294206,0.000029485062,0.00010493185,0.0012672906,0.0003094048,0.7951242,0.003145078,0.14583546,0.0005200032,0.000060782215],"about_ca_topic_score_codex":0.0004380443,"about_ca_topic_score_gemma":0.0003468498,"teacher_disagreement_score":0.0033232097,"about_ca_system_score_codex":0.00065765646,"about_ca_system_score_gemma":0.00031166532,"threshold_uncertainty_score":0.013223529},"labels":[],"label_agreement":null},{"id":"W1512607044","doi":"10.1177/0148558x0101600105","title":"The Effect of Tax Rates and Transaction Costs on the Tax Trading Option: Evidence from Stock Splits","year":2001,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Capital gains tax; Monetary economics; Deferred tax; Tax credit; Value-added tax; Ad valorem tax; Tax basis; Tax reform; Financial economics; Double taxation; State income tax; Finance; Macroeconomics; Public economics; Gross income","score_opus":0.026987607556595582,"score_gpt":0.2378217113913807,"score_spread":0.21083410383478512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512607044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987048,0.0001261405,0.00006692126,0.000074088435,0.0000018323706,0.0000040750306,0.000043196775,0.00000130963,0.0009776498],"genre_scores_gemma":[0.99956316,0.00013274122,0.000054339383,0.000014047268,0.0000068697086,0.000002851536,0.00008707973,0.0000014784407,0.00013736561],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853337,0.0006137902,0.00015128648,0.0001236006,0.00043345275,0.00014449864],"domain_scores_gemma":[0.9148372,0.047891676,0.02847324,0.0036431442,0.0030489115,0.0021057671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024260795,0.00024788643,0.0004026896,0.0010510044,0.00061149354,0.0017629091,0.000667624,0.00075990264,0.0028994349],"category_scores_gemma":[0.040697303,0.00029048635,0.0004265072,0.0009635689,0.0012436179,0.002133379,0.0010346397,0.0014832584,0.00041406008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034922182,0.0015279334,0.94836867,0.000100079444,0.00033511035,0.0006809265,0.0013249752,0.0047871755,0.0019863201,0.0036609897,0.0005910276,0.033144567],"study_design_scores_gemma":[0.000121412864,0.00087309035,0.9844738,0.000040708725,0.00015742212,0.0005449048,0.0009289692,0.0066296,0.0019496038,0.0033405165,0.00090380193,0.000036140507],"about_ca_topic_score_codex":0.0025925694,"about_ca_topic_score_gemma":0.0027922848,"teacher_disagreement_score":0.0028994349,"about_ca_system_score_codex":0.00059580355,"about_ca_system_score_gemma":0.00029490792,"threshold_uncertainty_score":0.012830436},"labels":[],"label_agreement":null},{"id":"W1512933403","doi":"10.2139/ssrn.293579","title":"Risk Reduction in Large Portfolios: A Role for Portfolio Weight Constraints","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Portfolio; Reduction (mathematics); Business; Economics; Financial economics; Mathematics","score_opus":0.009815941890797082,"score_gpt":0.21276644379578308,"score_spread":0.202950501904986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512933403","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25425765,0.005114372,0.70726776,0.005463634,0.0002508412,0.00010799116,0.000117587864,0.00024155389,0.027178586],"genre_scores_gemma":[0.95276964,0.0012277955,0.040159706,0.00027476723,0.00029367214,0.00004582175,0.00006898223,0.00009305663,0.0050665694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99810934,0.00083306275,0.00010571975,0.0002940272,0.00045862343,0.00019919196],"domain_scores_gemma":[0.97548,0.017806917,0.0026678843,0.0018201531,0.0014247741,0.0008003955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006172653,0.0009550375,0.0012128176,0.0008755657,0.00046558905,0.0035334458,0.0014738546,0.0015865285,0.0038990206],"category_scores_gemma":[0.050255362,0.0005542501,0.00045220464,0.0009077979,0.001372734,0.006097952,0.002334546,0.0024957305,0.00028779477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003876262,0.00026418729,0.005133681,0.0003172649,0.00022671056,0.00032973156,0.00022240722,0.3547212,0.0037666997,0.44050732,0.004198754,0.18992443],"study_design_scores_gemma":[0.000060793853,0.00014905517,0.0018144035,0.00006074268,0.00006314318,0.00012514852,0.00005197351,0.55813664,0.0014898845,0.43617174,0.0018396528,0.00003679872],"about_ca_topic_score_codex":0.0006672814,"about_ca_topic_score_gemma":0.00063650904,"teacher_disagreement_score":0.006172653,"about_ca_system_score_codex":0.0006888296,"about_ca_system_score_gemma":0.0006471213,"threshold_uncertainty_score":0.03264451},"labels":[],"label_agreement":null},{"id":"W1513120283","doi":"10.2139/ssrn.2174598","title":"Disagreement, Underreaction, and Stock Returns: A Decomposition Perspective of the Return Predictability of Analyst Forecast Dispersion","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Predictability; Economics; Stock (firearms); Econometrics; Perspective (graphical); Financial economics; Mathematics; Statistics; Geography","score_opus":0.018236916339356854,"score_gpt":0.23932100930583353,"score_spread":0.2210840929664767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513120283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8018457,0.0010366865,0.18658914,0.0030522845,0.000083415805,0.000037669874,0.00029263794,0.00010570945,0.0069566397],"genre_scores_gemma":[0.99378294,0.00028098148,0.00466644,0.00005191487,0.00017215707,0.000016484522,0.000111835165,0.00003174873,0.00088552886],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99847645,0.00060208014,0.00013728539,0.00028406532,0.00027231988,0.00022786445],"domain_scores_gemma":[0.96360993,0.02507628,0.0066707623,0.0023148898,0.0011408787,0.001187142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066827554,0.0007182813,0.0011381779,0.0021272434,0.0005169023,0.0056569763,0.0010120363,0.0014100906,0.0035305293],"category_scores_gemma":[0.037550982,0.00069087354,0.0012727343,0.0015794361,0.0023132293,0.0071887355,0.002218352,0.0024349738,0.00025001413],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009724091,0.00033516885,0.16986327,0.00021731734,0.0008414577,0.0010272735,0.0028387364,0.19400208,0.01014224,0.5454896,0.0025002547,0.07177017],"study_design_scores_gemma":[0.00003970675,0.00010568652,0.051604643,0.000043984448,0.00014192385,0.00014344392,0.00037743652,0.51616824,0.00063957245,0.43003765,0.0006197507,0.00007790896],"about_ca_topic_score_codex":0.0028728873,"about_ca_topic_score_gemma":0.0013691722,"teacher_disagreement_score":0.0066827554,"about_ca_system_score_codex":0.0008306409,"about_ca_system_score_gemma":0.00097438676,"threshold_uncertainty_score":0.035342216},"labels":[],"label_agreement":null},{"id":"W1513241820","doi":"10.2139/ssrn.2411555","title":"Is Idiosyncratic Volatility Risk Priced? Evidence from the Physical and Risk-Neutral Distributions","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Volatility (finance); Systematic risk; Economics; Econometrics; Risk neutral; Financial economics","score_opus":0.016663757934728938,"score_gpt":0.2210237148417422,"score_spread":0.20435995690701328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513241820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9559603,0.0044827578,0.013915572,0.005993529,0.00009669529,0.000016355047,0.00026039322,0.000039561837,0.019234695],"genre_scores_gemma":[0.9978823,0.0011518674,0.00030347446,0.00013143598,0.000115176794,0.0000031470008,0.000082738385,0.0000060241487,0.00032376553],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987993,0.00037992297,0.00010930606,0.00024393164,0.00035142174,0.00011619158],"domain_scores_gemma":[0.92346424,0.05403282,0.013397643,0.0060113594,0.0017850895,0.0013089321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048665353,0.0003061199,0.0007667833,0.0011621021,0.00038273953,0.0033658382,0.0012317084,0.0016469925,0.007452759],"category_scores_gemma":[0.046096414,0.00036669688,0.0006882676,0.0012584308,0.0041901115,0.0043169274,0.0015114818,0.00186873,0.0005718613],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042953384,0.00056675094,0.33909234,0.00064935134,0.0013458228,0.0022038491,0.0022078438,0.009953236,0.002940928,0.47702035,0.003741052,0.15598305],"study_design_scores_gemma":[0.00042502454,0.0004612573,0.29087064,0.00019799438,0.00043747076,0.0015799833,0.0013995414,0.012251662,0.0016534138,0.6846668,0.005946258,0.00011010213],"about_ca_topic_score_codex":0.00060731545,"about_ca_topic_score_gemma":0.00025153093,"teacher_disagreement_score":0.007452759,"about_ca_system_score_codex":0.0003524739,"about_ca_system_score_gemma":0.00021188211,"threshold_uncertainty_score":0.025737047},"labels":[],"label_agreement":null},{"id":"W1513574210","doi":"10.20381/ruor-1329","title":"Applications of Regret theory to asset pricing","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Predictability; Regret; Capital asset pricing model; Economics; Stock (firearms); Volatility (finance); Financial economics; Econometrics; Autocorrelation; Stock market; Stock market bubble; Computer science; Mathematics","score_opus":0.010763134934460804,"score_gpt":0.21574993821980337,"score_spread":0.20498680328534258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513574210","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01928927,0.013751835,0.88452035,0.009538048,0.0011995913,0.000064331005,0.00024108986,0.00029006257,0.07110545],"genre_scores_gemma":[0.8180878,0.019519545,0.10777426,0.00136935,0.0059785997,0.0002631226,0.00042247167,0.00033974403,0.04624502],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974267,0.0013971567,0.00011891409,0.00022420297,0.0006094376,0.00022349806],"domain_scores_gemma":[0.9872378,0.009894758,0.00077605614,0.0007467694,0.00092076976,0.00042382363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044636754,0.0011978465,0.0013263898,0.002031079,0.0010911615,0.0035631624,0.0016685749,0.0021140198,0.011071816],"category_scores_gemma":[0.025359128,0.00057981285,0.0017287369,0.002250032,0.002758156,0.004012168,0.002326278,0.00426523,0.0013872894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028411974,0.000023476847,0.0004467719,0.00006781554,0.000050644405,0.00007262243,0.00007262867,0.05306221,0.00011446389,0.92561346,0.0035684465,0.016878983],"study_design_scores_gemma":[0.000009299318,0.000010271753,0.00015557476,0.000020320214,0.0000078303165,0.000027636548,0.000013975259,0.12164378,0.000037747024,0.8756241,0.002438647,0.0000107897],"about_ca_topic_score_codex":0.0031297691,"about_ca_topic_score_gemma":0.0020435369,"teacher_disagreement_score":0.011071816,"about_ca_system_score_codex":0.0027661014,"about_ca_system_score_gemma":0.0016224912,"threshold_uncertainty_score":0.037038982},"labels":[],"label_agreement":null},{"id":"W1515165923","doi":"10.2139/ssrn.1126838","title":"A Further Examination of Customer Satisfaction-Based Financial Market Mis-Pricing","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dillon Consulting","funders":"","keywords":"Business; Customer satisfaction; Finance; Marketing","score_opus":0.014851059079910554,"score_gpt":0.19604000787004933,"score_spread":0.18118894879013878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515165923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9060276,0.00065441034,0.017201245,0.008212632,0.000117587166,0.000106605956,0.0005440417,0.00012815562,0.06700762],"genre_scores_gemma":[0.9968021,0.000110939225,0.0007411217,0.00026047495,0.00007836413,0.000006844385,0.00011935631,0.00001671563,0.0018642035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863905,0.00047451537,0.00007432118,0.0001844702,0.0004494027,0.00017821313],"domain_scores_gemma":[0.94213027,0.039806705,0.0062584993,0.0024838576,0.007675594,0.0016450357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003934962,0.00044295806,0.00059539994,0.0014808817,0.0005842705,0.004353548,0.0011511183,0.0014738974,0.026181282],"category_scores_gemma":[0.03522879,0.00021386593,0.00093413633,0.0022115104,0.0010508968,0.0040809005,0.00090000796,0.0021871575,0.0011716154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013949659,0.0017151079,0.69142723,0.00030072487,0.0005341271,0.0008690052,0.002658304,0.01734716,0.005178143,0.14277238,0.006932491,0.1288704],"study_design_scores_gemma":[0.000061597,0.0006705778,0.7875764,0.00007192373,0.00019895667,0.00041523352,0.0032927482,0.117822774,0.0016507474,0.08303857,0.005093672,0.00010673857],"about_ca_topic_score_codex":0.004007325,"about_ca_topic_score_gemma":0.0033679793,"teacher_disagreement_score":0.026181282,"about_ca_system_score_codex":0.0010371429,"about_ca_system_score_gemma":0.0007660383,"threshold_uncertainty_score":0.08758509},"labels":[],"label_agreement":null},{"id":"W1515291885","doi":"10.2139/ssrn.2302218","title":"Stock Market Timing: A Utility-Based Analysis","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Market timing; Capital market line; Stock market; Portfolio; Timer; Market portfolio; Econometrics; Portfolio insurance; Economics; Financial economics; Business; Actuarial science; Portfolio optimization; Market depth; Computer science; Replicating portfolio","score_opus":0.023064599318556894,"score_gpt":0.21652849439088048,"score_spread":0.1934638950723236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515291885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47878575,0.0015982225,0.5118148,0.00056540995,0.00004010129,0.00023655318,0.000802883,0.000319793,0.005836479],"genre_scores_gemma":[0.98443305,0.00050526287,0.012849685,0.00002271833,0.00004234429,0.00003758146,0.0002365291,0.00003192202,0.0018408973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99940777,0.0003038361,0.000026529364,0.0000672281,0.00013217946,0.00006246979],"domain_scores_gemma":[0.9912595,0.0072722794,0.0004397074,0.00031279906,0.00054829667,0.00016734976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036145325,0.00068177347,0.0013198026,0.0018429286,0.00028222587,0.0014892366,0.001027586,0.00062763353,0.004560008],"category_scores_gemma":[0.015592312,0.0003697835,0.00095099496,0.0019041554,0.00046358048,0.0013907063,0.0007444357,0.0008101348,0.00029469375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000623088,0.00018538178,0.022634057,0.0001111636,0.00023826206,0.00027633266,0.00010048973,0.83395416,0.0013375574,0.07697959,0.0015395572,0.062020384],"study_design_scores_gemma":[0.000010285784,0.000027183609,0.0013117451,0.000003496703,0.000024874194,0.000027389888,0.00000787463,0.99425185,0.000090937014,0.004159372,0.00008011231,0.000004841376],"about_ca_topic_score_codex":0.007213957,"about_ca_topic_score_gemma":0.0038148218,"teacher_disagreement_score":0.007213957,"about_ca_system_score_codex":0.0010192469,"about_ca_system_score_gemma":0.0009095616,"threshold_uncertainty_score":0.019115686},"labels":[],"label_agreement":null},{"id":"W1515616602","doi":"10.2139/ssrn.492803","title":"New Evidence on the Market Impact of Convertible Bond Issues in the U.S.","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Convertible bond; Business; Financial economics; Convertible arbitrage; Convertible; Economics; Bond; Financial system; Finance; Engineering; Capital asset pricing model","score_opus":0.02812180033638477,"score_gpt":0.25541117270126334,"score_spread":0.22728937236487856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515616602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89219195,0.01771163,0.00031057245,0.023766672,0.00026356004,0.000025462794,0.003222998,0.000020999485,0.062486153],"genre_scores_gemma":[0.9880695,0.0064691915,0.000093024515,0.0010579273,0.00025723278,0.0000057073885,0.0010741338,0.0000061046626,0.002967128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993963,0.00012761778,0.000051811112,0.00006352991,0.00026802192,0.00009264029],"domain_scores_gemma":[0.98080736,0.008775757,0.006711687,0.00044032207,0.0021494313,0.001115444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001484769,0.0002164749,0.00024187972,0.0015542692,0.0006029124,0.0027080083,0.00041028336,0.0011270951,0.008892919],"category_scores_gemma":[0.011023257,0.00016452726,0.00018554904,0.002890561,0.0007755122,0.0019053675,0.00076570513,0.0019861741,0.000702792],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001134898,0.0009247083,0.81466633,0.00038430377,0.0003269463,0.0012317122,0.0017363576,0.0011928319,0.0010760092,0.03216975,0.044122014,0.101034164],"study_design_scores_gemma":[0.00007115782,0.00016778566,0.9524958,0.00021996864,0.00016175184,0.00021257582,0.0027067796,0.0009937602,0.0006396616,0.0058103576,0.036497165,0.0000230646],"about_ca_topic_score_codex":0.03347491,"about_ca_topic_score_gemma":0.07480398,"teacher_disagreement_score":0.03347491,"about_ca_system_score_codex":0.00085858634,"about_ca_system_score_gemma":0.0009707467,"threshold_uncertainty_score":0.06656015},"labels":[],"label_agreement":null},{"id":"W1516549413","doi":"","title":"Commentary on \"Long-run risks and financial markets\"","year":2007,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Volatility (finance); Consumption (sociology); Econometrics; Financial economics","score_opus":0.04557721423987196,"score_gpt":0.24832035684304427,"score_spread":0.2027431426031723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516549413","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018979394,0.026287558,0.000097333286,0.9166361,0.05173229,0.000016243652,0.00030685324,0.000020038007,0.004713751],"genre_scores_gemma":[0.0049762996,0.009735659,0.00016806883,0.9278211,0.046801236,0.00006618226,0.00009539922,0.000042989956,0.010293084],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9753262,0.0035976728,0.0021838122,0.0020888338,0.013311702,0.0034916892],"domain_scores_gemma":[0.9243671,0.03575893,0.004255899,0.0015168929,0.029558955,0.004542265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019062754,0.0014948908,0.003675813,0.004705743,0.008543753,0.010527566,0.00835064,0.06932426,0.007226986],"category_scores_gemma":[0.09111655,0.0014717333,0.002355678,0.005748355,0.0098251505,0.004929125,0.0034357307,0.041551813,0.002893593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020175698,0.0000030277472,0.00004038537,0.00013386742,0.000012338097,0.000052106087,0.00011075046,0.000025666097,0.000021264024,0.006586384,0.99140036,0.0015936807],"study_design_scores_gemma":[0.00007347939,0.00000916489,0.0011498095,0.0011100391,0.000085865235,0.00008716203,0.00024109831,0.00008221017,0.00008960107,0.0055882474,0.99143046,0.00005287018],"about_ca_topic_score_codex":0.46344754,"about_ca_topic_score_gemma":0.5265304,"teacher_disagreement_score":0.46344754,"about_ca_system_score_codex":0.03537786,"about_ca_system_score_gemma":0.075979784,"threshold_uncertainty_score":0.92149997},"labels":[],"label_agreement":null},{"id":"W1516842871","doi":"","title":"Do IPOs Underperform in the Long-Run? New Evidence from the Canadian Stock Market","year":2003,"lang":"en","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Initial public offering; Econometrics; Stock market; Economics; Stock (firearms); Financial economics; Monetary economics; Geography","score_opus":0.04434036841780883,"score_gpt":0.22624975491153476,"score_spread":0.18190938649372593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516842871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98389035,0.0020725254,0.00022730211,0.0015823802,0.00001990543,0.000019370362,0.0016118387,0.00001899212,0.010557292],"genre_scores_gemma":[0.99590576,0.00090949744,0.00004516526,0.0001033228,0.000027530803,0.0000036073623,0.0007559958,0.00000509547,0.002244033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991986,0.00004457455,0.000036942678,0.00010541729,0.00037780302,0.00023669156],"domain_scores_gemma":[0.99104697,0.0015597726,0.0037961698,0.00043606476,0.0022588086,0.00090233085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001267216,0.00027948208,0.00031645986,0.0017650754,0.0009097327,0.002199866,0.00061608927,0.0005849707,0.0038057086],"category_scores_gemma":[0.007708621,0.00013341338,0.00031615133,0.002539033,0.00093870383,0.0010662387,0.0005990575,0.000576384,0.00035220583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014381277,0.00002805964,0.9799048,0.000038550337,0.00009516074,0.00016946126,0.00061769254,0.0004950911,0.00032568304,0.0007042238,0.0015170547,0.01596042],"study_design_scores_gemma":[0.0000032485714,0.000013110759,0.9975555,0.0000079532765,0.000026296182,0.000012293254,0.0004557106,0.0002429256,0.0001009191,0.000065582564,0.0015122079,0.000004298252],"about_ca_topic_score_codex":0.8895359,"about_ca_topic_score_gemma":0.91376287,"teacher_disagreement_score":0.110464096,"about_ca_system_score_codex":0.0059020175,"about_ca_system_score_gemma":0.005614078,"threshold_uncertainty_score":0.22222924},"labels":[],"label_agreement":null},{"id":"W1517236612","doi":"10.5539/ibr.v8n7p1","title":"Noise, Uncertainty and Investor Psychology: A Behavioral Analysis","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Autoregressive conditional heteroskedasticity; Behavioral economics; Economics; Financial economics; Financial market; Stock (firearms); Database transaction; Irrational number; Stock exchange; Econometrics; Stock market; Order (exchange); Monetary economics; Finance; Computer science; Mathematics","score_opus":0.23282677646593483,"score_gpt":0.4016240076403003,"score_spread":0.1687972311743655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517236612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907623,0.00023432168,0.0035139252,0.00054288795,0.000006727294,0.000028280212,0.00003294451,0.0000041482313,0.004874433],"genre_scores_gemma":[0.9981185,0.00017232687,0.0011213144,0.00009836752,0.000012720402,0.000019074725,0.000017750222,0.0000015906606,0.0004383601],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996363,0.00020491512,0.000010926643,0.000037494647,0.00006861401,0.000041656567],"domain_scores_gemma":[0.9978835,0.0015935587,0.0002341226,0.00009170174,0.00008893108,0.000108177155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012276944,0.00015684306,0.00024572393,0.00034174713,0.0002060976,0.0009264766,0.0001575552,0.00050574477,0.0020588574],"category_scores_gemma":[0.0033472816,0.00012293091,0.00030352504,0.00023306094,0.000538791,0.0007204191,0.00042262994,0.000561869,0.00007730503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011351864,0.0039670407,0.7383451,0.00041959417,0.0005004103,0.00058604544,0.012903789,0.01566909,0.034864377,0.08697968,0.0014808546,0.103148766],"study_design_scores_gemma":[0.0000633515,0.0015916493,0.85160375,0.00010434711,0.00020082288,0.00039673384,0.0057301014,0.08531208,0.0020539819,0.049453452,0.0034146104,0.00007506901],"about_ca_topic_score_codex":0.001209834,"about_ca_topic_score_gemma":0.000716824,"teacher_disagreement_score":0.0020588574,"about_ca_system_score_codex":0.00036214653,"about_ca_system_score_gemma":0.0002725114,"threshold_uncertainty_score":0.0068876147},"labels":[],"label_agreement":null},{"id":"W1517531208","doi":"","title":"Co-integration of Karachi stock exchange with major Asian markets","year":2012,"lang":"en","type":"article","venue":"Acta Universitatis Danubius Oeconomica","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Variance decomposition of forecast errors; Stock market; Granger causality; Emerging markets; Economics; Stock exchange; Stock (firearms); Standard deviation; Stock market index; China; Financial economics; Econometrics; Geography; Statistics; Macroeconomics; Mathematics; Finance","score_opus":0.021317074730937302,"score_gpt":0.20805587837952363,"score_spread":0.18673880364858633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517531208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99547184,0.00036500595,0.00019666854,0.00020918911,0.000013047539,0.0000084911835,0.00020698339,0.000009434913,0.0035193586],"genre_scores_gemma":[0.9990495,0.00017156119,0.00007669955,0.000016405342,0.000020933983,0.0000031476723,0.00017466118,0.0000022973804,0.00048469042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937683,0.00010463224,0.00006428439,0.00011224299,0.00020205973,0.00013991423],"domain_scores_gemma":[0.9956558,0.0010624257,0.0021531144,0.0001768104,0.0005724247,0.0003794892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006279632,0.00019685758,0.00038086178,0.002032388,0.00036769695,0.0020619829,0.0002342524,0.00033728674,0.0032622123],"category_scores_gemma":[0.0031212098,0.00015118025,0.00029505556,0.0031598583,0.00034718608,0.0012298485,0.0011767324,0.00063526724,0.00049853395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007628871,0.000051631097,0.98747456,0.000025373985,0.00012652726,0.00048613374,0.00043248886,0.00046402932,0.00052032404,0.0008392904,0.0004352369,0.009068218],"study_design_scores_gemma":[0.0000052265505,0.000040670482,0.9942472,0.000015888134,0.000059097318,0.00030687175,0.0009055486,0.0026840651,0.0003523843,0.00042750593,0.00094402675,0.000011542318],"about_ca_topic_score_codex":0.0038133343,"about_ca_topic_score_gemma":0.0048370543,"teacher_disagreement_score":0.0038133343,"about_ca_system_score_codex":0.00041455435,"about_ca_system_score_gemma":0.00058091164,"threshold_uncertainty_score":0.010913193},"labels":[],"label_agreement":null},{"id":"W1517841641","doi":"10.3386/w11697","title":"Do Local Analysts Know More? A Cross-Country Study of the Performance of Local Analysts and Foreign Analysts","year":2005,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":219,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Accounting; Business","score_opus":0.17226506066301142,"score_gpt":0.43254667826100573,"score_spread":0.2602816175979943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517841641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986527,0.00020911275,0.000038555536,0.00012706623,0.0000043495306,0.000001691466,0.00007221507,0.0000013050746,0.0008929465],"genre_scores_gemma":[0.99926955,0.00017707396,0.000034667562,0.00005854329,0.000012726185,0.0000015083452,0.000091599955,0.0000016050066,0.00035273496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995383,0.0001584324,0.00003569259,0.00007961856,0.00007190071,0.0001160728],"domain_scores_gemma":[0.98301446,0.0049490617,0.008511345,0.0006758778,0.0011967203,0.0016525917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013600813,0.00015912934,0.00025185922,0.0009386033,0.00048578193,0.0011865331,0.0002153784,0.0003837247,0.0022612647],"category_scores_gemma":[0.008406146,0.00018636556,0.00020737156,0.0010191954,0.00048270755,0.0014735487,0.0005948146,0.00054669584,0.0005614961],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019333938,0.00010812784,0.98741144,0.000021274118,0.00010449042,0.0001280826,0.002964106,0.00011393532,0.00022485563,0.00011541618,0.00044775254,0.008167088],"study_design_scores_gemma":[0.0000108220665,0.00014382601,0.98993874,0.000017700091,0.00004625077,0.0003176322,0.008234047,0.00018837076,0.0001631308,0.00009588136,0.00083299796,0.000010596648],"about_ca_topic_score_codex":0.0055941143,"about_ca_topic_score_gemma":0.01013628,"teacher_disagreement_score":0.0055941143,"about_ca_system_score_codex":0.000277694,"about_ca_system_score_gemma":0.00020776797,"threshold_uncertainty_score":0.011123061},"labels":[],"label_agreement":null},{"id":"W1518001744","doi":"10.2139/ssrn.918135","title":"Balance Sheet Information and Future Stock Returns","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Balance sheet; Stock (firearms); Financial economics; Business; Off-balance-sheet; Economics; Monetary economics; Financial system; Finance; Geography","score_opus":0.0057480095094260475,"score_gpt":0.1767763884259927,"score_spread":0.17102837891656664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518001744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983265,0.001629356,0.0014471007,0.0019341885,0.00006668411,0.000013617492,0.0017930147,0.00003768802,0.009813253],"genre_scores_gemma":[0.99364763,0.0009724702,0.00024869808,0.00012253244,0.00015221178,0.0000051997954,0.0010572228,0.000008332905,0.0037855753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980754,0.000044174885,0.000027970755,0.000027528049,0.000058908132,0.000033916567],"domain_scores_gemma":[0.9876062,0.005845098,0.004736196,0.0005269528,0.0007235334,0.0005619415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012745077,0.00031514594,0.00033059806,0.0013612458,0.00024798006,0.002702096,0.00030238126,0.0015124377,0.011040669],"category_scores_gemma":[0.015583099,0.00026216332,0.00028175188,0.0011458555,0.00034264525,0.0027336408,0.00042291972,0.0010352171,0.0017807031],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00474095,0.0009789838,0.85383487,0.00019094929,0.00035390665,0.0020660346,0.00063374895,0.01765832,0.0043998156,0.022019166,0.006544715,0.086578615],"study_design_scores_gemma":[0.00012202897,0.0006421393,0.91152376,0.000104202554,0.00024226226,0.0009906652,0.00036538095,0.024393847,0.0017090441,0.05521478,0.004625302,0.00006655342],"about_ca_topic_score_codex":0.0010990163,"about_ca_topic_score_gemma":0.0014734047,"teacher_disagreement_score":0.011040669,"about_ca_system_score_codex":0.00043139872,"about_ca_system_score_gemma":0.00021053287,"threshold_uncertainty_score":0.036934674},"labels":[],"label_agreement":null},{"id":"W1518370072","doi":"10.25148/etd.fi14052505","title":"Research on the influence of behavioral forces that motivate trader behavior and sentiment- a prospect theory exegesis","year":2005,"lang":"en","type":"dissertation","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exegesis; Behavioral economics; Empirical research; Test (biology); Economics; Econometrics; Prospect theory; Positive economics; Financial economics; Psychology; Microeconomics; Epistemology; Philosophy; Literature; Art","score_opus":0.07732152423030346,"score_gpt":0.3138716965468245,"score_spread":0.23655017231652103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518370072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9232182,0.0028434393,0.014837868,0.0025167293,0.00007286879,0.00011606945,0.000058976955,0.000018294846,0.05631747],"genre_scores_gemma":[0.990577,0.002848832,0.0032836276,0.00030145797,0.00005555742,0.000048186517,0.000032363856,0.0000060158886,0.0028470205],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99831533,0.0009834522,0.00006814712,0.00019231378,0.0003216975,0.000119068965],"domain_scores_gemma":[0.95729625,0.035794884,0.0039897705,0.00096715253,0.0011955986,0.0007562699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006544896,0.00041286956,0.00047285107,0.0011838558,0.0005217012,0.0033096876,0.00049742963,0.00086109305,0.003780293],"category_scores_gemma":[0.019720003,0.00032644477,0.0006436537,0.0011651602,0.0016255954,0.0025874649,0.000695966,0.0013783848,0.00042170734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094111555,0.0023625472,0.40418366,0.0011802422,0.00043604765,0.00069992914,0.011176501,0.011898466,0.008783454,0.30842376,0.0017894756,0.24812481],"study_design_scores_gemma":[0.00015332735,0.0029810776,0.64095396,0.0011295342,0.000519211,0.0010300924,0.021134805,0.07170196,0.0070725,0.23144211,0.021677876,0.00020354771],"about_ca_topic_score_codex":0.00058012956,"about_ca_topic_score_gemma":0.00046508934,"teacher_disagreement_score":0.006544896,"about_ca_system_score_codex":0.00075020746,"about_ca_system_score_gemma":0.0010041058,"threshold_uncertainty_score":0.034613192},"labels":[],"label_agreement":null},{"id":"W1518721831","doi":"10.2139/ssrn.2086600","title":"Who Participates in Risk Transfer Markets? The Role of Transaction Costs and Counterparty Risk","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Business; Credit risk; Database transaction; Transaction cost; Counterparty; Risk management; Risk analysis (engineering); Financial system; Actuarial science; Finance; Computer science","score_opus":0.008728806313502398,"score_gpt":0.1975011911009,"score_spread":0.1887723847873976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518721831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87813735,0.0070149614,0.007834231,0.040482085,0.00021294711,0.000048828915,0.00014217148,0.000053289048,0.06607425],"genre_scores_gemma":[0.9953074,0.0012053467,0.0003426582,0.00034702118,0.00024269502,0.000008787991,0.000017702863,0.000009874726,0.002518562],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9974573,0.0015262185,0.000101711266,0.00027023448,0.00027212704,0.0003723589],"domain_scores_gemma":[0.9522301,0.032747127,0.008134855,0.0014847473,0.00130347,0.0040997537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069195977,0.00022572756,0.000801739,0.0009455858,0.0010799741,0.009257253,0.0009893059,0.004048566,0.0156056825],"category_scores_gemma":[0.03853145,0.00033952523,0.00024495667,0.00084237376,0.0029003378,0.01301731,0.0011664412,0.0023260997,0.0012635081],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012663397,0.0013498112,0.23827931,0.00034123744,0.00031113235,0.0020677366,0.006637069,0.007019739,0.0010126168,0.5340334,0.017510831,0.19017078],"study_design_scores_gemma":[0.00030662265,0.00031008723,0.072260834,0.0003803444,0.00026835236,0.0015784358,0.0148141235,0.03208901,0.0009070606,0.85185933,0.02511733,0.00010832493],"about_ca_topic_score_codex":0.0017082935,"about_ca_topic_score_gemma":0.0017050909,"teacher_disagreement_score":0.0156056825,"about_ca_system_score_codex":0.0008351651,"about_ca_system_score_gemma":0.0013247265,"threshold_uncertainty_score":0.05220622},"labels":[],"label_agreement":null},{"id":"W1519986109","doi":"","title":"An Investigation of the Day-of-the-Week Effect on the Istanbul Stock Exchange of Turkey","year":2010,"lang":"en","type":"article","venue":"Journal of international business research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Names of the days of the week; Stock exchange; Empirical evidence; Stock market; Stock (firearms); Economics; Equity (law); Demographic economics; Demography; Financial economics; Geography; Political science; Finance; Sociology","score_opus":0.07281323287274319,"score_gpt":0.30687042307749185,"score_spread":0.23405719020474866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519986109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99769574,0.0002475656,0.000028089386,0.00019930697,0.000022475644,0.0000033876304,0.00028840356,0.000003590452,0.0015114638],"genre_scores_gemma":[0.9984718,0.00020793252,0.000042730233,0.00005525106,0.000040368417,0.0000033735555,0.00054657855,0.000003670708,0.0006283233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967825,0.000078220124,0.000027788981,0.000054772612,0.00008735311,0.00007359336],"domain_scores_gemma":[0.9979658,0.00049556023,0.0008564898,0.000087819724,0.0003343654,0.00025997325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006609852,0.00021205454,0.0002698584,0.0008554237,0.000564147,0.00113083,0.00039812463,0.00039548622,0.0023447492],"category_scores_gemma":[0.0014810432,0.000104118866,0.0002889707,0.0011852229,0.00031917376,0.0004832215,0.000608853,0.0005380382,0.00041799937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036258687,0.00012086487,0.9843411,0.00005452266,0.00008357021,0.0007586369,0.0015141813,0.0002573822,0.0005265391,0.0005244416,0.0022596496,0.009196572],"study_design_scores_gemma":[0.0000029493654,0.00007183018,0.9963775,0.000012890902,0.00001760951,0.000077759214,0.0017667334,0.0003441507,0.00007927012,0.00004062967,0.0012023305,0.0000063993275],"about_ca_topic_score_codex":0.019623086,"about_ca_topic_score_gemma":0.027515844,"teacher_disagreement_score":0.019623086,"about_ca_system_score_codex":0.00077780423,"about_ca_system_score_gemma":0.00048428052,"threshold_uncertainty_score":0.039017737},"labels":[],"label_agreement":null},{"id":"W1519994537","doi":"10.2139/ssrn.1265670","title":"Asymmetric Timeliness in Pension Asset Accounting","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pension; Business; Asset (computer security); Accounting; Finance; Actuarial science; Computer science; Computer security","score_opus":0.021843704706004545,"score_gpt":0.2130752183254191,"score_spread":0.19123151361941454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519994537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9463364,0.0026543364,0.030569347,0.0033123768,0.0001560773,0.000028974946,0.00076727726,0.00020357656,0.015971603],"genre_scores_gemma":[0.996369,0.00039444034,0.0011347609,0.00004412569,0.00014527306,0.0000057156353,0.00020028821,0.000030342588,0.001676058],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983518,0.00057228445,0.00018870445,0.00026406915,0.00046190878,0.0001612473],"domain_scores_gemma":[0.9304685,0.04190766,0.018278899,0.004932807,0.003121228,0.0012909177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064496757,0.00027205423,0.00070972485,0.0024752638,0.0005992168,0.003045241,0.0008654976,0.0015289788,0.00833183],"category_scores_gemma":[0.07762309,0.00044807466,0.00037028934,0.00292914,0.00097532297,0.006770556,0.00093181833,0.0012606449,0.00069561886],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002598887,0.00023713819,0.19589846,0.0002954344,0.00019333643,0.0013290435,0.0016346407,0.06811942,0.0030538498,0.58694094,0.012521241,0.12717755],"study_design_scores_gemma":[0.00011728975,0.0001952004,0.11261555,0.00009989866,0.00015710511,0.001104092,0.0012159082,0.26624686,0.0018760023,0.6091979,0.00708084,0.00009330496],"about_ca_topic_score_codex":0.0020615414,"about_ca_topic_score_gemma":0.0017057834,"teacher_disagreement_score":0.00833183,"about_ca_system_score_codex":0.0015520946,"about_ca_system_score_gemma":0.000571585,"threshold_uncertainty_score":0.034109533},"labels":[],"label_agreement":null},{"id":"W1520112378","doi":"10.2139/ssrn.2024226","title":"Wage Rigidity: A Solution to Several Asset Pricing Puzzles","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rigidity (electromagnetism); Wage; Economics; Capital asset pricing model; Financial economics; Labour economics; Engineering","score_opus":0.03535666695550176,"score_gpt":0.21083941108325194,"score_spread":0.17548274412775017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520112378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6484888,0.0029359977,0.17511126,0.054547235,0.0007994993,0.000097235185,0.0011114746,0.0008611866,0.11604732],"genre_scores_gemma":[0.9790963,0.0005258788,0.007517769,0.0005723779,0.00047689103,0.00002135961,0.00013627045,0.00008803771,0.011565108],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995258,0.00013745601,0.000032778353,0.000104490275,0.00010102849,0.000098511286],"domain_scores_gemma":[0.9957558,0.0019388435,0.0009802375,0.00073531835,0.00022976968,0.00036000667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013635443,0.00045830262,0.0011475245,0.0010694223,0.0011534755,0.0039797043,0.0022851406,0.0043816273,0.019740712],"category_scores_gemma":[0.019109592,0.0005553132,0.0008578778,0.0012107701,0.0023553048,0.0041665253,0.0018507413,0.004220455,0.0013797974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031161727,0.00015237571,0.005352698,0.000109602646,0.00006187596,0.00063286134,0.00079328,0.016098259,0.0013847708,0.91035193,0.0135390395,0.051211737],"study_design_scores_gemma":[0.000114064205,0.000028405204,0.0043829777,0.000024110264,0.000030266952,0.00033569182,0.00035097913,0.045764867,0.000213703,0.94494146,0.0037773652,0.000036119898],"about_ca_topic_score_codex":0.0017897452,"about_ca_topic_score_gemma":0.0014041783,"teacher_disagreement_score":0.019740712,"about_ca_system_score_codex":0.000596894,"about_ca_system_score_gemma":0.0008197938,"threshold_uncertainty_score":0.066039205},"labels":[],"label_agreement":null},{"id":"W1520489090","doi":"","title":"Liquidity Risk and Cross-Sectional Returns: Evidence from the Chinese Stock Markets","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Market liquidity; Liquidity risk; Liquidity premium; Financial economics; Business; Equity (law); Stock market; Systematic risk; Monetary economics; Economics; Econometrics","score_opus":0.022420157252393262,"score_gpt":0.255502002340195,"score_spread":0.23308184508780172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520489090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998858,0.00041801497,0.00008131001,0.00009952786,0.0000031849552,0.0000032726086,0.000119482655,0.0000025197617,0.0004147386],"genre_scores_gemma":[0.9993061,0.00025343476,0.000035835204,0.000025154179,0.000019300785,0.0000024923736,0.00025328956,0.0000012202335,0.000103107646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957806,0.00008799969,0.000057296027,0.00008417306,0.00011780758,0.00007462939],"domain_scores_gemma":[0.9901653,0.003074602,0.004649977,0.00070037175,0.00065459835,0.00075518154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016879701,0.00032698334,0.000372922,0.0020897356,0.00046981254,0.000882984,0.00046169362,0.0005551936,0.0021371392],"category_scores_gemma":[0.006972368,0.00024082558,0.0005015547,0.0021525638,0.00070046075,0.0009514236,0.00084076915,0.0003810608,0.000276809],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103071136,0.000046910893,0.9937405,0.000025497447,0.0001990957,0.00021429427,0.00032105413,0.0003502671,0.0003059453,0.00031408478,0.00014237537,0.0042368644],"study_design_scores_gemma":[0.000010317142,0.000034433568,0.9983164,0.0000063700313,0.00006916229,0.000061663224,0.00012070472,0.00087144884,0.00013339151,0.00019989558,0.00016933319,0.0000069156845],"about_ca_topic_score_codex":0.01690499,"about_ca_topic_score_gemma":0.015482345,"teacher_disagreement_score":0.01690499,"about_ca_system_score_codex":0.00045746897,"about_ca_system_score_gemma":0.00040877916,"threshold_uncertainty_score":0.033613145},"labels":[],"label_agreement":null},{"id":"W1521732602","doi":"10.1287/mnsc.1080.0964","title":"Evaluating Value-at-Risk Models with Desk-Level Data","year":2007,"lang":"en","type":"preprint","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Desk; Monte Carlo method; Profit (economics); Econometrics; Sample (material); Computer science; Actuarial science; Economics; Statistics; Mathematics","score_opus":0.3014160373640854,"score_gpt":0.330318593826064,"score_spread":0.02890255646197859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521732602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8076978,0.0011127953,0.18265156,0.0017443665,0.00010724958,0.00011171704,0.0031892688,0.00054549053,0.0028397653],"genre_scores_gemma":[0.9703175,0.00029019755,0.02506712,0.00008249832,0.00007500605,0.00006807971,0.002556265,0.00008373532,0.0014595966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975682,0.0015332334,0.000104741026,0.00036454236,0.00026959958,0.0001595913],"domain_scores_gemma":[0.9355653,0.057773933,0.0022554346,0.002319388,0.0012060963,0.000879839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012553624,0.0012304011,0.0019629202,0.0014214151,0.00038360487,0.0024753085,0.0020280133,0.00318794,0.0025284656],"category_scores_gemma":[0.04924932,0.0009828021,0.0011242084,0.001660623,0.0010533786,0.0036278958,0.0010471999,0.002137843,0.00048368308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016484775,0.000041899035,0.004005335,0.00002307065,0.00004893161,0.000031157095,0.000012886152,0.9874906,0.00008632229,0.0041983137,0.00048742155,0.0034092632],"study_design_scores_gemma":[0.000009273702,0.00001716987,0.00038380388,0.0000027565325,0.0000056873987,0.000005005531,0.0000052337437,0.9957344,0.0000818298,0.0036875035,0.000063478656,0.0000038540675],"about_ca_topic_score_codex":0.012544453,"about_ca_topic_score_gemma":0.0063688788,"teacher_disagreement_score":0.012553624,"about_ca_system_score_codex":0.0025822327,"about_ca_system_score_gemma":0.00096147717,"threshold_uncertainty_score":0.06639069},"labels":[],"label_agreement":null},{"id":"W1522805240","doi":"10.1287/mnsc.1070.0852","title":"The Distribution of the Sample Minimum-Variance Frontier","year":2007,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Toronto","funders":"","keywords":"Estimator; Sample (material); Statistics; Variance (accounting); Frontier; Mathematics; Population; Econometrics; Sample size determination; Sample variance; Minimum-variance unbiased estimator; Distribution (mathematics); Economics; Geography","score_opus":0.01760185549736326,"score_gpt":0.21024014213290987,"score_spread":0.1926382866355466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522805240","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24965656,0.0029131307,0.727197,0.004201246,0.00012852415,0.00016155183,0.0014692465,0.0008281588,0.013444506],"genre_scores_gemma":[0.9453756,0.0019419213,0.043612815,0.00043431192,0.00042501627,0.00033233498,0.0016707537,0.00034987569,0.005857371],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964005,0.0020625682,0.0001272681,0.000634985,0.00049887475,0.00027588924],"domain_scores_gemma":[0.8684561,0.11877989,0.0035472256,0.0048543215,0.0031511579,0.0012112875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012671551,0.0009231168,0.0028170096,0.0033298908,0.0007777787,0.004163062,0.0026370587,0.0026504425,0.011092788],"category_scores_gemma":[0.103820436,0.0009988615,0.0010733508,0.0016604838,0.0046474654,0.007474289,0.0023748993,0.0030126642,0.0013219657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044397186,0.00019398154,0.008711199,0.0005547981,0.00021620526,0.00031252965,0.00051732874,0.08926497,0.003123704,0.84793025,0.0077456213,0.040985435],"study_design_scores_gemma":[0.00010057347,0.0001322751,0.0074110013,0.00017733956,0.00005383058,0.00037777165,0.00018153344,0.40657434,0.0016145981,0.58084255,0.0024594793,0.00007470593],"about_ca_topic_score_codex":0.00084078556,"about_ca_topic_score_gemma":0.00051543786,"teacher_disagreement_score":0.012671551,"about_ca_system_score_codex":0.0012664486,"about_ca_system_score_gemma":0.0010831471,"threshold_uncertainty_score":0.06701434},"labels":[],"label_agreement":null},{"id":"W1522957674","doi":"10.7202/602189ar","title":"Rendements boursiers et inflation","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Humanities; Inflation (cosmology); Keynesian economics; Philosophy; Physics","score_opus":0.04968946534248248,"score_gpt":0.25033166637461446,"score_spread":0.20064220103213198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522957674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98544264,0.0012910017,0.0014816717,0.00059670635,0.0000197659,0.000007011086,0.00023302976,0.00003180539,0.010896366],"genre_scores_gemma":[0.99759966,0.00029805265,0.0003018609,0.000015217632,0.000016030772,0.0000037507377,0.00012001119,0.0000053970207,0.0016401262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988715,0.00036369977,0.00008340558,0.00019095826,0.00030715013,0.00018338602],"domain_scores_gemma":[0.98595667,0.0068937936,0.005382706,0.0005598965,0.0007072418,0.00049968297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014765201,0.00021011136,0.00038072,0.001039979,0.0004705877,0.0025791114,0.00027693334,0.0005514404,0.0048346105],"category_scores_gemma":[0.014868838,0.00023179845,0.0002539735,0.0015459151,0.0008427503,0.0009925026,0.0007211012,0.00090839795,0.00064044574],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017661777,0.00026667636,0.84269845,0.00014440404,0.0002351925,0.0005926062,0.0077157123,0.010552291,0.0036534206,0.04092011,0.0014523839,0.09000261],"study_design_scores_gemma":[0.000025216968,0.00013549719,0.97062194,0.00006107627,0.000044379136,0.00030732134,0.002097887,0.0041589793,0.0011127793,0.014107186,0.0072840145,0.000043679935],"about_ca_topic_score_codex":0.011278228,"about_ca_topic_score_gemma":0.006037378,"teacher_disagreement_score":0.011278228,"about_ca_system_score_codex":0.0012449026,"about_ca_system_score_gemma":0.00039646914,"threshold_uncertainty_score":0.022425175},"labels":[],"label_agreement":null},{"id":"W1523274311","doi":"10.2139/ssrn.298092","title":"Large Price Declines, News, Liquidity, and Trading Strategies: An Intraday Analysis","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Market liquidity; Business; Monetary economics; Financial economics; Economics; Financial system","score_opus":0.024770451284710185,"score_gpt":0.22574073075031365,"score_spread":0.20097027946560347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523274311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996309,0.0005759661,0.0015638445,0.00022444116,0.000008707832,0.000011330002,0.00015501016,0.0000117999025,0.0011400013],"genre_scores_gemma":[0.9988024,0.00023618423,0.00022664997,0.00001607464,0.000038667997,0.0000069236326,0.00015638258,0.0000054798966,0.00051117066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996159,0.00013432365,0.00003645695,0.000069820235,0.000065964916,0.00007749511],"domain_scores_gemma":[0.9838388,0.012204369,0.0021650705,0.0006322736,0.0004579417,0.000701522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020176538,0.00048712757,0.0009887203,0.0016362859,0.0005447592,0.002434756,0.00075088046,0.0011655182,0.0041335206],"category_scores_gemma":[0.011922849,0.00039449963,0.0008655071,0.0015940806,0.0010236694,0.002293025,0.0012734934,0.0019892089,0.00040566272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006976244,0.0015664413,0.83249074,0.00023523625,0.0015454036,0.003313058,0.001426308,0.0546132,0.008077283,0.03113267,0.002722678,0.055900745],"study_design_scores_gemma":[0.00028352116,0.0012922464,0.57643175,0.000048641617,0.0011218535,0.0014609584,0.0014277578,0.38667858,0.0018992119,0.027805112,0.0014429969,0.000107405955],"about_ca_topic_score_codex":0.00281345,"about_ca_topic_score_gemma":0.0018886179,"teacher_disagreement_score":0.0041335206,"about_ca_system_score_codex":0.0004191813,"about_ca_system_score_gemma":0.00029986267,"threshold_uncertainty_score":0.013828039},"labels":[],"label_agreement":null},{"id":"W1523953088","doi":"10.1142/9789812569448_0004","title":"UNDERSTANDING MUTUAL FUND AND HEDGE FUND STYLES USING RETURN-BASED STYLE ANALYSIS","year":2002,"lang":"en","type":"article","venue":"WORLD SCIENTIFIC eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Style analysis; Returns-based style analysis; Style (visual arts); Investment style; Hedge fund; Sharpe ratio; Fund administration; Mutual fund; Set (abstract data type); Business; Actuarial science; Financial economics; Economics; Fund of funds; Return on investment; Computer science; Finance; Investment strategy; Microeconomics","score_opus":0.30533782619163213,"score_gpt":0.26139271951854437,"score_spread":0.043945106673087764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523953088","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28366876,0.0016153646,0.6504937,0.0010803681,0.00014274608,0.00013505148,0.00069937174,0.000514718,0.061649922],"genre_scores_gemma":[0.8667895,0.00085020205,0.12449919,0.00012678301,0.0002710323,0.00007926497,0.00035068864,0.00010148804,0.006931806],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990792,0.00029827675,0.00007609281,0.00013087249,0.0003448524,0.00007072595],"domain_scores_gemma":[0.99545693,0.0019074795,0.0009212613,0.00061038515,0.000809115,0.00029493368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002518847,0.00048899476,0.00030079842,0.0028794745,0.00038866568,0.0039018202,0.0004894343,0.000571551,0.0046987003],"category_scores_gemma":[0.01517854,0.00019926994,0.0006167405,0.0020368765,0.0007916722,0.0052649914,0.00094263395,0.0009915059,0.00078935735],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016150328,0.00013522537,0.071708016,0.00011905338,0.00009154991,0.00030041125,0.0035511437,0.016159836,0.005211887,0.5123784,0.0047655497,0.3854174],"study_design_scores_gemma":[0.000032039006,0.00013419063,0.07196469,0.00007745285,0.000060966224,0.000691903,0.0017242788,0.19077076,0.0025500061,0.705828,0.02605449,0.000111248155],"about_ca_topic_score_codex":0.0011925208,"about_ca_topic_score_gemma":0.0009963248,"teacher_disagreement_score":0.0046987003,"about_ca_system_score_codex":0.00068425614,"about_ca_system_score_gemma":0.00033157849,"threshold_uncertainty_score":0.015718699},"labels":[],"label_agreement":null},{"id":"W1524709060","doi":"10.2139/ssrn.1761571","title":"Past Market Variance and Asset Prices","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Asset (computer security); Financial economics; Economics; Variance (accounting); Econometrics; Business; Monetary economics; Computer science; Accounting","score_opus":0.020675462188372885,"score_gpt":0.1908802327645473,"score_spread":0.17020477057617442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524709060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964096,0.0033951842,0.021794012,0.00216398,0.00013059986,0.000005859815,0.0003409113,0.00009787954,0.007975675],"genre_scores_gemma":[0.9959829,0.00054156064,0.00043578536,0.00003878754,0.00014927537,0.0000022022891,0.0001588555,0.000018334244,0.0026724294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996164,0.0001054511,0.000030308202,0.00009656806,0.00008701165,0.00006427601],"domain_scores_gemma":[0.9851141,0.009992806,0.0023509741,0.0011503098,0.0007432396,0.0006486625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023361593,0.0002802532,0.00074810605,0.00093225803,0.00033496192,0.0029487778,0.000502603,0.0012810511,0.006494426],"category_scores_gemma":[0.020260435,0.00048196389,0.00054798566,0.0011339049,0.00087063946,0.0030550763,0.0005137804,0.0016395592,0.0007103731],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013507851,0.00058024534,0.36237448,0.00024956124,0.0010464331,0.0019302383,0.00093464565,0.09541489,0.005605337,0.44684687,0.006806398,0.07686016],"study_design_scores_gemma":[0.00009937638,0.00030764722,0.28596887,0.00007526956,0.00037623337,0.0013518379,0.00024352733,0.21939221,0.0014914941,0.48643598,0.0041234447,0.00013421028],"about_ca_topic_score_codex":0.001315654,"about_ca_topic_score_gemma":0.001896502,"teacher_disagreement_score":0.006494426,"about_ca_system_score_codex":0.0007037628,"about_ca_system_score_gemma":0.0003054715,"threshold_uncertainty_score":0.021726012},"labels":[],"label_agreement":null},{"id":"W1525249401","doi":"10.34989/swp-2002-33","title":"Alternative Trading Systems: Does One Shoe Fit All?","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Econometrics; Business; Economics; Financial economics; Computer science","score_opus":0.09767949451597037,"score_gpt":0.3017488383374124,"score_spread":0.20406934382144204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525249401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47475138,0.023940701,0.15980682,0.104936965,0.0012349075,0.00017793676,0.00056324154,0.0004922165,0.2340959],"genre_scores_gemma":[0.96823436,0.004412685,0.016229885,0.0027841353,0.00031764983,0.00004298718,0.00013432503,0.000091120055,0.00775278],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99862885,0.00046823022,0.000069029986,0.00029380035,0.00034087614,0.00019930911],"domain_scores_gemma":[0.9963515,0.0013617391,0.000659816,0.0005680123,0.00062323763,0.00043573155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002104378,0.00044668734,0.00086378347,0.0008993894,0.0012512387,0.006198777,0.0012847632,0.0025754329,0.016659634],"category_scores_gemma":[0.011401402,0.00033182008,0.00065035734,0.00075995474,0.002681358,0.011547814,0.0016645518,0.001961097,0.002143073],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039073508,0.00020983559,0.028145019,0.00053842075,0.00037480978,0.0010229549,0.0020027657,0.005384421,0.0016870777,0.73282343,0.010936992,0.21648355],"study_design_scores_gemma":[0.00007354537,0.00015413499,0.0063996273,0.00033661284,0.00010545453,0.0017859506,0.004510649,0.017682895,0.0003943809,0.9339477,0.034526903,0.000082212704],"about_ca_topic_score_codex":0.0009040832,"about_ca_topic_score_gemma":0.0018300584,"teacher_disagreement_score":0.016659634,"about_ca_system_score_codex":0.00064582773,"about_ca_system_score_gemma":0.00058704003,"threshold_uncertainty_score":0.05573207},"labels":[],"label_agreement":null},{"id":"W1526212031","doi":"10.2139/ssrn.964311","title":"Financial Analysts' Role in the 1996-2000 Internet Bubble","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business; Bubble; The Internet; Finance; Computer science; World Wide Web","score_opus":0.007583244969347093,"score_gpt":0.1846313036793391,"score_spread":0.17704805870999202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526212031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8536557,0.0042970264,0.0002994717,0.060862355,0.0005651999,0.00002585021,0.0003689665,0.000029805979,0.07989556],"genre_scores_gemma":[0.99123514,0.0013473552,0.00008728859,0.0010711787,0.0003656342,0.000010812476,0.000074910015,0.000011662132,0.005795983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920756,0.00026774165,0.00005813093,0.00008179282,0.00019997482,0.00018476347],"domain_scores_gemma":[0.9801865,0.008794084,0.0067381486,0.00019880231,0.0021785647,0.0019038056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039459225,0.00019588582,0.00019062168,0.0018341936,0.0013041047,0.006048296,0.0004938652,0.0035430542,0.0046938946],"category_scores_gemma":[0.034190923,0.0002529426,0.00010215255,0.0015011901,0.001038584,0.0030176842,0.0010407969,0.0025562346,0.0005179459],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00442012,0.0006555586,0.50975055,0.00048769693,0.000114770446,0.0021766638,0.030674582,0.0026876926,0.006051555,0.13942584,0.101826064,0.20172894],"study_design_scores_gemma":[0.00043446847,0.00040076603,0.6841382,0.0009767788,0.00019607398,0.00069384085,0.055074703,0.009622339,0.004101289,0.030707702,0.21353611,0.00011776142],"about_ca_topic_score_codex":0.027166907,"about_ca_topic_score_gemma":0.04333397,"teacher_disagreement_score":0.027166907,"about_ca_system_score_codex":0.0042490433,"about_ca_system_score_gemma":0.00279734,"threshold_uncertainty_score":0.054017544},"labels":[],"label_agreement":null},{"id":"W1526690535","doi":"","title":"Unexpected Correlations in Fama-MacBeth Methodology Outcomes","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital asset pricing model; Econometrics; Economics; Financial economics; Test (biology)","score_opus":0.09347902895699153,"score_gpt":0.25960523435107075,"score_spread":0.1661262053940792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526690535","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48548108,0.008473793,0.46680444,0.0070763016,0.0006728589,0.00024009468,0.0019034261,0.0005073412,0.028840723],"genre_scores_gemma":[0.97982657,0.0009138736,0.015634475,0.00035734483,0.0004133891,0.00013410544,0.0007277953,0.000050465045,0.0019420224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9911526,0.0055227135,0.00037260598,0.0010773868,0.0014218272,0.00045275578],"domain_scores_gemma":[0.94163024,0.04242468,0.0077521405,0.0045372266,0.0029150276,0.000740619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02071747,0.00043421952,0.0010777372,0.002717786,0.0009797758,0.00233763,0.0010317405,0.0017174099,0.0059618177],"category_scores_gemma":[0.095914416,0.00033399826,0.00086398976,0.003298537,0.001497478,0.002916615,0.0014727854,0.0017479755,0.00077213673],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028576676,0.00010653291,0.18790962,0.00024220963,0.0005123987,0.0017188318,0.0012569296,0.044143014,0.00037016094,0.6701478,0.012739103,0.0805677],"study_design_scores_gemma":[0.00012207373,0.00022893518,0.07907034,0.00021745937,0.0001349743,0.0006116745,0.00048246025,0.21791442,0.0007768626,0.6855336,0.014805886,0.000101357124],"about_ca_topic_score_codex":0.0033243138,"about_ca_topic_score_gemma":0.001657156,"teacher_disagreement_score":0.02071747,"about_ca_system_score_codex":0.0014274259,"about_ca_system_score_gemma":0.0012515624,"threshold_uncertainty_score":0.109565794},"labels":[],"label_agreement":null},{"id":"W1527228427","doi":"10.3386/w15038","title":"Is Investor Rationality Time Varying? Evidence from the Mutual Fund Industry","year":2009,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Rationality; Mutual fund; Business; Financial economics; Target date fund; Economics; Monetary economics; Econometrics; Finance; Open-end fund; Institutional investor; Corporate governance; Political science; Law","score_opus":0.578502077832868,"score_gpt":0.477068527780366,"score_spread":0.10143355005250199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527228427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825105,0.0019482155,0.00093676674,0.0024898474,0.000009507639,0.000012452905,0.00040347452,0.000011882566,0.011677257],"genre_scores_gemma":[0.9983582,0.0005627459,0.00014998697,0.0001609535,0.00002223431,0.0000050199897,0.00018390952,0.0000037202826,0.0005531574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861383,0.00034873694,0.00013018392,0.00029130199,0.0003755647,0.00024030615],"domain_scores_gemma":[0.93540853,0.02889553,0.028676162,0.004194335,0.0018061901,0.0010192166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003148506,0.00011661781,0.00030247786,0.00085810176,0.00032797587,0.0016245154,0.0005568415,0.0008016931,0.004948768],"category_scores_gemma":[0.028932825,0.00021535314,0.0002971474,0.0012433685,0.0012214496,0.0015034497,0.0009932535,0.0008681787,0.0004889101],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010975986,0.00015220049,0.92472893,0.00013200578,0.00028700783,0.0005991388,0.002304983,0.0013938022,0.0012749925,0.009684875,0.0019449427,0.056399662],"study_design_scores_gemma":[0.000052513442,0.00006084385,0.9871113,0.00004324485,0.00011407722,0.00020572121,0.00083181617,0.0014088356,0.00055348047,0.005508111,0.004086322,0.00002381489],"about_ca_topic_score_codex":0.010419075,"about_ca_topic_score_gemma":0.011672875,"teacher_disagreement_score":0.010419075,"about_ca_system_score_codex":0.0007002629,"about_ca_system_score_gemma":0.00045476286,"threshold_uncertainty_score":0.020716846},"labels":[],"label_agreement":null},{"id":"W1528013476","doi":"10.2139/ssrn.2573644","title":"Long-Run International Diversification","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Diversification (marketing strategy); Business; Economics; Marketing","score_opus":0.031378335266556236,"score_gpt":0.22189119742202187,"score_spread":0.19051286215546565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528013476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92878646,0.0026798502,0.0070532975,0.003918387,0.000109686865,0.000019078596,0.00042551756,0.00012233584,0.056885347],"genre_scores_gemma":[0.9899158,0.00046747216,0.0002504934,0.00011115048,0.000051930252,0.0000055430687,0.00014499729,0.0000100749085,0.009042579],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998708,0.000016718886,0.000008660568,0.00004022711,0.000022112583,0.000041412568],"domain_scores_gemma":[0.9988519,0.00018111792,0.00046471943,0.00009516722,0.00015413393,0.00025303662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008739454,0.00030472715,0.0003956157,0.00059347984,0.00045398498,0.0024721327,0.00032281698,0.0011233808,0.010003355],"category_scores_gemma":[0.0030697144,0.00015771482,0.00043431183,0.00050711475,0.00064079557,0.0021002186,0.0011520254,0.0011684223,0.0010410794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073472824,0.00033311837,0.25042698,0.0003296077,0.00074521074,0.003077689,0.000869725,0.053741492,0.011747955,0.49401808,0.020074088,0.16390131],"study_design_scores_gemma":[0.000100986836,0.00043862208,0.33650172,0.00024419933,0.00041422216,0.0020051172,0.0017275083,0.08228856,0.0031632332,0.54143006,0.031569354,0.00011631742],"about_ca_topic_score_codex":0.00083208544,"about_ca_topic_score_gemma":0.0012079909,"teacher_disagreement_score":0.010003355,"about_ca_system_score_codex":0.0008071343,"about_ca_system_score_gemma":0.00046637995,"threshold_uncertainty_score":0.03346455},"labels":[],"label_agreement":null},{"id":"W1528114294","doi":"10.2139/ssrn.2179620","title":"Robust Inference in Linear Asset Pricing Models","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital asset pricing model; Inference; Econometrics; Consumption-based capital asset pricing model; Economics; Financial economics; Computer science; Mathematics; Artificial intelligence","score_opus":0.051540535002505286,"score_gpt":0.23525436272437592,"score_spread":0.18371382772187062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528114294","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017538937,0.0008605402,0.9785244,0.0010073599,0.000084821775,0.000037029255,0.000180792,0.0008061824,0.0009598674],"genre_scores_gemma":[0.75893426,0.0019227017,0.22655438,0.00077820907,0.00095306896,0.00031641172,0.0016802888,0.00053847005,0.0083222585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9925223,0.0049973326,0.00039718134,0.0010688626,0.00061445555,0.00039993282],"domain_scores_gemma":[0.8727513,0.11718017,0.0036140408,0.0040923906,0.0017191046,0.00064299506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016243313,0.0013986522,0.004639366,0.0019635286,0.00077649567,0.0039728507,0.004353798,0.0033644533,0.0053186943],"category_scores_gemma":[0.115986966,0.0028775914,0.0020322497,0.0020884045,0.0025002037,0.004899904,0.0029088114,0.0052814893,0.0011633647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040524633,0.00019975124,0.0019475647,0.00027398067,0.0005573827,0.00017112894,0.00010725953,0.8601181,0.00054360373,0.09354061,0.0023693114,0.039766036],"study_design_scores_gemma":[0.00004196333,0.00001474821,0.00015125646,0.000009937835,0.000024603582,0.000009099594,0.000005423102,0.946132,0.00011873988,0.053318884,0.00016321396,0.000010147488],"about_ca_topic_score_codex":0.010830692,"about_ca_topic_score_gemma":0.0065245666,"teacher_disagreement_score":0.016243313,"about_ca_system_score_codex":0.0015961993,"about_ca_system_score_gemma":0.002414308,"threshold_uncertainty_score":0.08590388},"labels":[],"label_agreement":null},{"id":"W1528456036","doi":"10.2139/ssrn.858304","title":"Systematic Variance Risk and Firm Characteristics in the Equity Options Market","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Kellogg's (Canada)","funders":"","keywords":"Equity (law); Business; Equity risk; Financial economics; Systematic risk; Variance (accounting); Economics; Actuarial science; Accounting; Finance; Private equity; Political science","score_opus":0.012496300494817954,"score_gpt":0.21040215147229577,"score_spread":0.19790585097747782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528456036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997003,0.00020638175,0.001583208,0.00038909673,0.0000062907857,0.0000052799824,0.000058911253,0.000012629761,0.0007350684],"genre_scores_gemma":[0.9994072,0.000062906,0.00007891105,0.000015464737,0.000018999654,0.0000015806904,0.000045747023,0.000003308415,0.0003659364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951315,0.00016955558,0.000043014763,0.00007433532,0.00007192455,0.00012797455],"domain_scores_gemma":[0.95993984,0.027690599,0.008086842,0.0008707682,0.0009521587,0.0024598052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030068848,0.00031832166,0.000697674,0.0012724779,0.00039566157,0.0022825522,0.00059270347,0.0020630478,0.0033690932],"category_scores_gemma":[0.017589618,0.00039931014,0.00049340294,0.0011847065,0.0012509997,0.0027701897,0.00088228256,0.0017672713,0.00046160212],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001864215,0.00057190063,0.8858587,0.00006334406,0.00040257926,0.0020520492,0.00074186956,0.039777417,0.0042805406,0.048752066,0.0013566437,0.014278677],"study_design_scores_gemma":[0.00018256699,0.0004990119,0.7097817,0.00003343313,0.0002368284,0.0009474176,0.0010133875,0.17318292,0.0014158747,0.11195465,0.00062849023,0.00012377996],"about_ca_topic_score_codex":0.0021599077,"about_ca_topic_score_gemma":0.0024954525,"teacher_disagreement_score":0.0033690932,"about_ca_system_score_codex":0.00059447286,"about_ca_system_score_gemma":0.0004038144,"threshold_uncertainty_score":0.015902162},"labels":[],"label_agreement":null},{"id":"W1528962942","doi":"10.2139/ssrn.326481","title":"Investibility and Return Volatility in Emerging Equity Markets","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Financial economics; Volatility (finance); Equity (law); Economics; Business; Emerging markets; Monetary economics; Financial system; Finance; Political science","score_opus":0.0248255259203994,"score_gpt":0.2420356249797204,"score_spread":0.21721009905932098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528962942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964767,0.00051152817,0.0014168171,0.00047445163,0.000010570471,0.0000035340154,0.00004917585,0.000012380783,0.0010448145],"genre_scores_gemma":[0.99926656,0.0001612329,0.000093073315,0.000016299138,0.000027277652,0.0000012762188,0.00004386948,0.00000404176,0.00038634147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974567,0.00006813896,0.00003803493,0.000037750495,0.000046688514,0.00006364782],"domain_scores_gemma":[0.97421795,0.016468847,0.006446695,0.0008205047,0.0006517131,0.001394278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002818265,0.0002519399,0.0005616971,0.0009906513,0.00038092025,0.0030919914,0.0005624158,0.0012670634,0.0026873911],"category_scores_gemma":[0.023713415,0.00027356984,0.0004083252,0.0006517703,0.0011606872,0.003953871,0.0010378106,0.0018859924,0.00020518641],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027008061,0.0004852553,0.81325144,0.00012673273,0.00031962316,0.0024490168,0.0011358967,0.029419512,0.0043227775,0.11345139,0.00164469,0.030692836],"study_design_scores_gemma":[0.00021457652,0.00055545004,0.59277827,0.00007791759,0.00031571297,0.0017278383,0.0013327096,0.1317206,0.0026127985,0.26698184,0.0015868279,0.00009546061],"about_ca_topic_score_codex":0.0014170368,"about_ca_topic_score_gemma":0.0014211886,"teacher_disagreement_score":0.0030919914,"about_ca_system_score_codex":0.00057027035,"about_ca_system_score_gemma":0.00027418582,"threshold_uncertainty_score":0.014904618},"labels":[],"label_agreement":null},{"id":"W1529033363","doi":"","title":"A Study of Stock Market Sectors during the Nineties","year":2005,"lang":"en","type":"article","venue":"Academy of Accounting and Financial Studies journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Contrarian; Portfolio; Stock market; Economics; Quarter (Canadian coin); Rate of return; Stock (firearms); Profitability index; Financial economics; Stock market index; Momentum (technical analysis); Rate of return on a portfolio; Risk–return spectrum; Business; Finance; Modern portfolio theory","score_opus":0.039843750716778696,"score_gpt":0.2546756881339143,"score_spread":0.21483193741713558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529033363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5964533,0.37806186,0.00041048572,0.0025658114,0.0002833466,0.00011879344,0.0018575592,0.000017634991,0.020231156],"genre_scores_gemma":[0.8074798,0.18582241,0.0005112713,0.00069803774,0.000574976,0.00006169689,0.0016591958,0.00000553017,0.0031871009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994067,0.0000955439,0.0000979908,0.00009074516,0.00024436484,0.00006475017],"domain_scores_gemma":[0.9973807,0.0004459764,0.0013232772,0.000028667524,0.0007067353,0.00011456527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007494214,0.0003004181,0.00038261822,0.0047186064,0.00030670766,0.0011745072,0.00034828583,0.0005297695,0.0021696144],"category_scores_gemma":[0.0030921602,0.00013879195,0.0004838369,0.0076563912,0.00020954537,0.0012453491,0.00037377886,0.00035587905,0.0004271354],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027772514,0.00035421216,0.68947965,0.004251361,0.00048800092,0.0012861049,0.0024004057,0.00047120205,0.0009190255,0.0021169833,0.006667155,0.29128817],"study_design_scores_gemma":[0.0000085893535,0.0001777636,0.9753574,0.001465576,0.00015142225,0.0005589381,0.002945772,0.00036015795,0.00028949606,0.00036987127,0.018298678,0.000016288821],"about_ca_topic_score_codex":0.0119769145,"about_ca_topic_score_gemma":0.015988968,"teacher_disagreement_score":0.0119769145,"about_ca_system_score_codex":0.00072749105,"about_ca_system_score_gemma":0.0009129385,"threshold_uncertainty_score":0.02381444},"labels":[],"label_agreement":null},{"id":"W1529910996","doi":"10.2139/ssrn.2409915","title":"Matching Capital and Labor","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Matching (statistics); Labour economics; Capital (architecture); Economics; Geography; Mathematics; Statistics","score_opus":0.007498977548789743,"score_gpt":0.18554489276556438,"score_spread":0.17804591521677463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529910996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72811365,0.0030826766,0.046425518,0.014885631,0.00033463686,0.00018202448,0.000825283,0.00018720671,0.2059635],"genre_scores_gemma":[0.9706032,0.00035545515,0.0009445492,0.00029126185,0.0000824045,0.000022011687,0.00007514573,0.000008079303,0.027617915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99919754,0.0002706884,0.00003592753,0.00014569395,0.000100068406,0.00025002658],"domain_scores_gemma":[0.9961622,0.001864763,0.0007552971,0.000477558,0.00021565643,0.0005245864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012300513,0.00022995661,0.00065575074,0.0006736545,0.0006221822,0.0029161882,0.0005923166,0.0019012865,0.031769767],"category_scores_gemma":[0.012673186,0.00024364833,0.00034529055,0.0009627963,0.0010056602,0.0024914914,0.001052559,0.0007496118,0.002151111],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005036388,0.00034173086,0.027941726,0.00011588345,0.000082461156,0.00031790015,0.00062318955,0.009345352,0.001184199,0.8596466,0.009859519,0.09003783],"study_design_scores_gemma":[0.000071188435,0.00009678451,0.010666705,0.00004225187,0.000033862412,0.00014899817,0.0007589799,0.012331391,0.00060209463,0.9642854,0.0109499935,0.000012454446],"about_ca_topic_score_codex":0.0030236808,"about_ca_topic_score_gemma":0.0021534949,"teacher_disagreement_score":0.031769767,"about_ca_system_score_codex":0.0015679507,"about_ca_system_score_gemma":0.0011981438,"threshold_uncertainty_score":0.106280506},"labels":[],"label_agreement":null},{"id":"W1530505079","doi":"","title":"Competition Among Securities Markets: Can the Canadian Market Survive?","year":2004,"lang":"en","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Globalization; Capital market; Competition (biology); Position (finance); Security market; Vision; Thriving; Business; Economy; Economics; Political science; Market economy; Finance; Sociology","score_opus":0.016674775551387116,"score_gpt":0.18837163346534982,"score_spread":0.17169685791396272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530505079","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30391532,0.013139464,0.001696438,0.093050145,0.00043893803,0.00011178949,0.0038891851,0.00010083749,0.5836578],"genre_scores_gemma":[0.9029617,0.008633228,0.000685404,0.0031506987,0.00016573069,0.000019243538,0.0008147874,0.00003944709,0.083529726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99838936,0.00006665907,0.00002626208,0.00013655097,0.00079019996,0.00059093424],"domain_scores_gemma":[0.99726,0.00031267863,0.00032455227,0.000114002236,0.001237062,0.0007516747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011305478,0.00039484407,0.000515401,0.002596859,0.0074290447,0.009814714,0.001139668,0.0017496112,0.027190149],"category_scores_gemma":[0.0058252816,0.0002487625,0.00055077247,0.0048470194,0.0027460796,0.0036854446,0.001277228,0.0016355594,0.001139624],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003686809,0.00009536007,0.095938176,0.0003557846,0.00010302064,0.0011642566,0.007129597,0.0027316078,0.001333681,0.5825927,0.13655838,0.17162882],"study_design_scores_gemma":[0.000088729714,0.00011054645,0.21640949,0.00037190423,0.00015530192,0.00031632485,0.018661562,0.0050019156,0.0011378858,0.068380885,0.68916667,0.00019886637],"about_ca_topic_score_codex":0.9759489,"about_ca_topic_score_gemma":0.9904235,"teacher_disagreement_score":0.06092691,"about_ca_system_score_codex":0.06092691,"about_ca_system_score_gemma":0.07200647,"threshold_uncertainty_score":0.4420578},"labels":[],"label_agreement":null},{"id":"W1531112808","doi":"10.2139/ssrn.951513","title":"The Puzzling Evolution of the Home Bias, Information Processing and Financial Openness","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Openness to experience; Business; Economics; Psychology; Monetary economics; Financial system; Social psychology","score_opus":0.008782729305690951,"score_gpt":0.17715381471051272,"score_spread":0.16837108540482176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531112808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95836914,0.0029799044,0.011781424,0.008780782,0.0000776832,0.000008685916,0.00021516303,0.00011625298,0.017670987],"genre_scores_gemma":[0.99737954,0.00046556367,0.0010445536,0.00021087634,0.00011777401,0.0000027502647,0.000039466737,0.000025793004,0.0007137557],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995945,0.0001475045,0.000017986908,0.00011531271,0.00007912194,0.000045629837],"domain_scores_gemma":[0.9800592,0.0151313795,0.0017439189,0.0018299754,0.0006914192,0.00054404227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002388494,0.00011229694,0.0004041527,0.0007944661,0.00042964055,0.0028872574,0.0005367008,0.0012668715,0.004885345],"category_scores_gemma":[0.024668325,0.00025552604,0.00021819276,0.0009475044,0.0023187767,0.0038459273,0.00089583034,0.0014590132,0.0003902231],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016933477,0.00025330606,0.15424828,0.00045274865,0.00031144626,0.0013321415,0.0036894218,0.01513956,0.0239358,0.5798868,0.012545177,0.20651193],"study_design_scores_gemma":[0.00012778543,0.0000890573,0.19833815,0.000057866633,0.000065018095,0.0007203965,0.00075547147,0.02222292,0.0037446406,0.7672873,0.006510686,0.00008059841],"about_ca_topic_score_codex":0.0013174572,"about_ca_topic_score_gemma":0.0008388374,"teacher_disagreement_score":0.004885345,"about_ca_system_score_codex":0.0006025063,"about_ca_system_score_gemma":0.0002925335,"threshold_uncertainty_score":0.016343117},"labels":[],"label_agreement":null},{"id":"W1532021778","doi":"10.1016/b978-0-12-374503-3.00019-6","title":"Hedge Fund Investment Strategies","year":2010,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Hedge fund; Leverage (statistics); Portfolio; Trading strategy; Investment strategy; Financial economics; Risk arbitrage; Arbitrage; Market neutral; Fund of funds; Business; Market timing; Equity (law); Exploit; Mutual fund; Alternative beta; Economics; Open-end fund; Finance; Institutional investor; Capital asset pricing model; Arbitrage pricing theory; Corporate governance; Market liquidity; Computer science","score_opus":0.04205806353122451,"score_gpt":0.22635981722981197,"score_spread":0.18430175369858745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532021778","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015491668,0.014526763,0.015522434,0.003931931,0.0003131806,0.000032751675,0.00017129454,0.00017869867,0.9498313],"genre_scores_gemma":[0.29806286,0.016187249,0.010226766,0.0008021261,0.0004212446,0.00006420537,0.00034796225,0.00007192978,0.6738157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99985135,0.00001930395,0.000006646133,0.000020356822,0.000081778504,0.000020515386],"domain_scores_gemma":[0.9998727,0.000026187467,0.000015304877,0.000022886248,0.000039471324,0.000023523236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034705768,0.0004682339,0.00023234852,0.00062905706,0.00030425686,0.0026799312,0.0003601048,0.0012023785,0.021644183],"category_scores_gemma":[0.0010645883,0.00013264723,0.00014996405,0.000519465,0.0003978346,0.0016771468,0.00061712274,0.0007038899,0.0065801986],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044240838,0.000045934714,0.0007045681,0.000069317226,0.000017741915,0.0001355321,0.00017795067,0.002592632,0.0014148989,0.5002361,0.052365724,0.44219542],"study_design_scores_gemma":[0.000022879529,0.00006085796,0.0016301898,0.00024881688,0.000019345369,0.00050124555,0.00018892577,0.0060989154,0.0011792084,0.446681,0.5433539,0.000014695105],"about_ca_topic_score_codex":0.000759507,"about_ca_topic_score_gemma":0.0012258482,"teacher_disagreement_score":0.021644183,"about_ca_system_score_codex":0.0007951955,"about_ca_system_score_gemma":0.0006377171,"threshold_uncertainty_score":0.07240701},"labels":[],"label_agreement":null},{"id":"W1533395192","doi":"10.2139/ssrn.1485289","title":"The Effects of Management and Provision Accounts on Hedge Fund Returns","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Download; Hedge fund; Business; Computer science; Finance; World Wide Web","score_opus":0.009609875575179054,"score_gpt":0.2073647759207144,"score_spread":0.19775490034553533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1533395192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954411,0.0004504227,0.000072238516,0.00059042353,0.000035185298,0.0000060620214,0.00017339071,0.00001537783,0.003215735],"genre_scores_gemma":[0.99807274,0.00016708019,0.000034570643,0.000046437883,0.000048042886,0.0000028359889,0.000097819786,0.000005158864,0.0015251443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817896,0.0008634683,0.000118216725,0.00014935446,0.000252589,0.00043751393],"domain_scores_gemma":[0.906576,0.07064926,0.014302505,0.0016044778,0.0025077357,0.004360059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035339969,0.00041610797,0.0005708876,0.00091931754,0.0008847311,0.004181273,0.00080758904,0.0024173812,0.008258352],"category_scores_gemma":[0.0363742,0.00038624342,0.0007714086,0.00086163555,0.001075327,0.0019582633,0.00094036135,0.0020217714,0.0008807942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03146835,0.004200444,0.8488256,0.0002838859,0.0008794488,0.0018335066,0.00093668455,0.031913575,0.008315325,0.017354956,0.0075182794,0.046469968],"study_design_scores_gemma":[0.00044138439,0.0016967312,0.9619833,0.00004744781,0.0010805151,0.00028270614,0.0013613338,0.021821957,0.003204414,0.0055956184,0.0023961212,0.00008853283],"about_ca_topic_score_codex":0.011073179,"about_ca_topic_score_gemma":0.01276948,"teacher_disagreement_score":0.011073179,"about_ca_system_score_codex":0.0018733294,"about_ca_system_score_gemma":0.0011885654,"threshold_uncertainty_score":0.027626932},"labels":[],"label_agreement":null},{"id":"W1533705187","doi":"10.2139/ssrn.1321808","title":"The Impact of Seasonal Affective Disorder on Financial Analysts and Equity Market Returns","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Equity (law); Business; Financial market; Economics; Financial economics; Finance; Financial system","score_opus":0.009115930080171,"score_gpt":0.2466475415268886,"score_spread":0.23753161144671758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1533705187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971029,0.00019945564,0.000032382482,0.00037587548,0.000018847835,0.0000029559465,0.00013235529,0.000002664357,0.0021324446],"genre_scores_gemma":[0.99956363,0.0000640389,0.000014007716,0.00003677504,0.000023873057,0.0000010541527,0.00005680017,0.0000012545562,0.0002386508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950135,0.00020364365,0.000036518122,0.000051285508,0.00008126701,0.00012604418],"domain_scores_gemma":[0.9879981,0.006451397,0.0023774572,0.00039417722,0.0006039023,0.0021749185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072629267,0.00014999021,0.0002180372,0.00049817364,0.0005321745,0.0013089167,0.00024732435,0.00069711235,0.004948824],"category_scores_gemma":[0.011696333,0.00012565164,0.00038055854,0.00048520227,0.00040388101,0.0004473261,0.0005097754,0.0009837609,0.0004260178],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012715998,0.00048473978,0.9883813,0.000013434042,0.00015516991,0.00026412512,0.0002135671,0.0003193949,0.0008195449,0.0002816173,0.00039437937,0.0074010803],"study_design_scores_gemma":[0.000010232804,0.00009696862,0.9987821,0.0000035018923,0.00003979406,0.00008655863,0.00020965507,0.00039095036,0.000040329196,0.00023503866,0.00010098788,0.0000038900616],"about_ca_topic_score_codex":0.013226493,"about_ca_topic_score_gemma":0.024453197,"teacher_disagreement_score":0.013226493,"about_ca_system_score_codex":0.00070040696,"about_ca_system_score_gemma":0.0006529481,"threshold_uncertainty_score":0.026299},"labels":[],"label_agreement":null},{"id":"W1535391474","doi":"10.2139/ssrn.1132765","title":"Sources of Institutional Performance","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Business; Political science","score_opus":0.013388627423792609,"score_gpt":0.18805392380411495,"score_spread":0.17466529638032235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535391474","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44597533,0.0038792554,0.0035544874,0.008542901,0.00019240296,0.00017145778,0.03572172,0.00046640582,0.501496],"genre_scores_gemma":[0.97154623,0.0010807265,0.00062538375,0.00016809527,0.00026212813,0.0000493617,0.0066617965,0.00008959123,0.019516703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99761826,0.00048287248,0.00021129083,0.00029782692,0.0007896051,0.0005999804],"domain_scores_gemma":[0.9755558,0.005665949,0.00846918,0.0028449984,0.0050957515,0.0023683878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002976228,0.0003896369,0.0004233495,0.010529439,0.0011312304,0.005584261,0.00067989214,0.00070443685,0.040172603],"category_scores_gemma":[0.02595716,0.00020244016,0.00032053044,0.016214618,0.00082212617,0.0020786736,0.002596754,0.0009468019,0.007836776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067621056,0.00027830197,0.47288898,0.0006679932,0.0005228214,0.0005091565,0.0029569697,0.0030296752,0.0010046762,0.19292252,0.069629505,0.2549132],"study_design_scores_gemma":[0.0000961248,0.00015634917,0.76027936,0.00066387746,0.00025565617,0.00058765826,0.0053290613,0.002860679,0.0023818575,0.04036138,0.18693334,0.00009458038],"about_ca_topic_score_codex":0.0035751604,"about_ca_topic_score_gemma":0.0043133707,"teacher_disagreement_score":0.040172603,"about_ca_system_score_codex":0.0025636787,"about_ca_system_score_gemma":0.0018021427,"threshold_uncertainty_score":0.13439077},"labels":[],"label_agreement":null},{"id":"W1535412605","doi":"10.3386/w11766","title":"Unobserved Actions of Mutual Funds","year":2005,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Inquire Europe","keywords":"Business; Econometrics; Economics","score_opus":0.632157206861089,"score_gpt":0.4965227912536419,"score_spread":0.1356344156074471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535412605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909601,0.00055275497,0.003658119,0.00052153773,0.000009745452,0.00004083443,0.0015465,0.000031199725,0.0026792458],"genre_scores_gemma":[0.99774784,0.00016546083,0.000528239,0.00003637595,0.000018520373,0.000021071906,0.0006676045,0.0000018628169,0.00081290863],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99734455,0.00082587235,0.00036851998,0.00049514166,0.00058485346,0.00038103896],"domain_scores_gemma":[0.9739281,0.006916432,0.01652469,0.0016498053,0.00048846396,0.0004926071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034142958,0.00032960897,0.00066077197,0.0012658964,0.00042251754,0.0015984381,0.0006646937,0.0009083062,0.0020515781],"category_scores_gemma":[0.02337353,0.0003182088,0.00048564767,0.0012904701,0.00065528404,0.0014123612,0.0010367117,0.00072691235,0.00030011922],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024659882,0.0001243897,0.9499973,0.00009545879,0.0003123267,0.0002732702,0.0006787203,0.011270038,0.0006258176,0.010961343,0.0013293388,0.024085557],"study_design_scores_gemma":[0.00006310405,0.00020942988,0.93081385,0.00007853815,0.00032922096,0.00040500218,0.00054370257,0.04332804,0.0020795432,0.015239313,0.0068434393,0.000066739],"about_ca_topic_score_codex":0.011291683,"about_ca_topic_score_gemma":0.010813434,"teacher_disagreement_score":0.011291683,"about_ca_system_score_codex":0.0017013054,"about_ca_system_score_gemma":0.0007609338,"threshold_uncertainty_score":0.022451937},"labels":[],"label_agreement":null},{"id":"W1535954248","doi":"10.1108/03074351311313816","title":"Recent developments in exchange‐traded fund literature","year":2013,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Originality; Value (mathematics); Business; Global assets under management; Economics; Institutional investor; Accounting; Finance; Computer science; Sociology; Qualitative research","score_opus":0.03595427229975177,"score_gpt":0.2097675280715129,"score_spread":0.17381325577176113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535954248","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029024957,0.9764716,0.0008320549,0.0065989876,0.0009763564,0.0000074166637,0.000087125496,0.000017145754,0.012106772],"genre_scores_gemma":[0.02144627,0.9701424,0.00154932,0.0016854404,0.0029813072,0.000016449305,0.00017379208,0.000014313037,0.0019908294],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998587,0.00048333264,0.00020129538,0.00025587506,0.00037253805,0.000099974175],"domain_scores_gemma":[0.9708384,0.023733502,0.001818604,0.00041846343,0.0026304198,0.00056060817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004264082,0.00049445196,0.0009281818,0.012548695,0.00081595394,0.0053788656,0.00089930376,0.0019829585,0.010681551],"category_scores_gemma":[0.015263064,0.00031589705,0.0005724917,0.018194104,0.001627005,0.005573751,0.0014201115,0.0016080698,0.0015023571],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001406112,0.000094960094,0.0033614514,0.014624815,0.00009724817,0.0005612322,0.0017499682,0.0010092845,0.00036301318,0.09111839,0.037177112,0.8497019],"study_design_scores_gemma":[0.000014746086,0.000086751,0.0069116293,0.020473588,0.00010980377,0.0015295794,0.002748825,0.0006371032,0.00033324424,0.029780196,0.9373315,0.00004309222],"about_ca_topic_score_codex":0.0020156617,"about_ca_topic_score_gemma":0.0026653304,"teacher_disagreement_score":0.012548695,"about_ca_system_score_codex":0.001979113,"about_ca_system_score_gemma":0.0036291748,"threshold_uncertainty_score":0.035733283},"labels":[],"label_agreement":null},{"id":"W1536641378","doi":"10.2139/ssrn.938522","title":"Empirical Evaluation of Investor Rationality in the Asset Allocation Puzzle","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Rationality; Asset allocation; Economics; Asset (computer security); Financial economics; Business; Actuarial science; Econometrics; Portfolio; Computer science; Political science","score_opus":0.05733521745207994,"score_gpt":0.28340580813938965,"score_spread":0.22607059068730972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536641378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912595,0.00034400413,0.002291539,0.0011807346,0.000010234672,0.000014853278,0.00008355284,0.000019007708,0.004796577],"genre_scores_gemma":[0.9988918,0.0000927015,0.0004082057,0.000043385877,0.000019529827,0.0000050065705,0.000093137656,0.0000062455138,0.0004400735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984016,0.0008198044,0.00016272867,0.00015356,0.00027168755,0.00019065413],"domain_scores_gemma":[0.81179965,0.15552863,0.016820868,0.011688542,0.0029150546,0.0012472951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010967545,0.00040955204,0.00092802936,0.0013847782,0.00050717976,0.0026269872,0.0013574363,0.0022361607,0.0069479696],"category_scores_gemma":[0.12150019,0.00035881222,0.0005125429,0.0012371583,0.002074024,0.0029148823,0.0015425222,0.0025398303,0.0004873433],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0055044163,0.0017914153,0.5343731,0.00040680662,0.0008334491,0.0023353647,0.0040529002,0.060036555,0.005340006,0.28883028,0.0063287304,0.09016688],"study_design_scores_gemma":[0.0012343512,0.0006246321,0.356767,0.0001414802,0.00061112567,0.0014431165,0.0041778954,0.28037578,0.004117142,0.34520188,0.0051676244,0.00013793295],"about_ca_topic_score_codex":0.0017252563,"about_ca_topic_score_gemma":0.001289504,"teacher_disagreement_score":0.010967545,"about_ca_system_score_codex":0.0007906473,"about_ca_system_score_gemma":0.00080282224,"threshold_uncertainty_score":0.05800259},"labels":[],"label_agreement":null},{"id":"W1537933053","doi":"10.2139/ssrn.669921","title":"Stock and Bond Pricing with Liquidity Risk","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bond; Stock (firearms); Market liquidity; Financial economics; Business; Liquidity risk; Capital asset pricing model; Financial system; Monetary economics; Economics; Finance; Geography","score_opus":0.008538837290416122,"score_gpt":0.1801502796801965,"score_spread":0.17161144238978038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537933053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8547352,0.0069008498,0.09531132,0.010415183,0.0004786997,0.000046688623,0.00027589212,0.0001961541,0.031640034],"genre_scores_gemma":[0.9856124,0.001496893,0.0018797666,0.000116580915,0.00056753453,0.000011204918,0.00006418769,0.000022218728,0.010229255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995308,0.0002446888,0.000027849506,0.00006175313,0.00007322401,0.00006157459],"domain_scores_gemma":[0.9948409,0.0031473185,0.0009209195,0.00031611422,0.00033816922,0.00043669378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024206247,0.00071368006,0.0009769254,0.00069127436,0.000384911,0.0038105152,0.0008601988,0.0027400116,0.008560763],"category_scores_gemma":[0.018556392,0.00051202916,0.0005744507,0.0008780399,0.001419919,0.006017692,0.00095294596,0.002058771,0.0005916869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031072815,0.00019900166,0.015525551,0.00014915512,0.00014176738,0.0016842391,0.00032684018,0.10993223,0.0021773016,0.84006745,0.0055663544,0.023919381],"study_design_scores_gemma":[0.00009533477,0.00008198066,0.0048138844,0.000020892978,0.00006849172,0.00039771112,0.00011524061,0.27288175,0.00027315554,0.7199234,0.0012930614,0.000035136214],"about_ca_topic_score_codex":0.0010434292,"about_ca_topic_score_gemma":0.0008209254,"teacher_disagreement_score":0.008560763,"about_ca_system_score_codex":0.00054017996,"about_ca_system_score_gemma":0.00047933785,"threshold_uncertainty_score":0.02863866},"labels":[],"label_agreement":null},{"id":"W1538060494","doi":"10.21773/boun.21.1.6","title":"A NOTE ON THE CROSS-SECTION OF STOCK RETURNS ON THE ISTANBUL STOCK EXCHANGE","year":2007,"lang":"en","type":"article","venue":"Bogazici Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Türkiye Bilimler Akademisi","keywords":"Stock (firearms); Stock exchange; Financial economics; Economics; Finance; Geography; Archaeology","score_opus":0.06076003402627099,"score_gpt":0.27060174647812746,"score_spread":0.20984171245185645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538060494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9511205,0.012395003,0.0031479062,0.008681897,0.0005773347,0.000018305325,0.0045821206,0.00011968946,0.01935726],"genre_scores_gemma":[0.9868155,0.0039930134,0.00065229763,0.00044290867,0.0007973831,0.000009453106,0.0037294996,0.000029135785,0.0035309063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941766,0.00020115393,0.00004630115,0.000120796845,0.00014396526,0.00007018648],"domain_scores_gemma":[0.9844936,0.011406071,0.0019165347,0.0009156342,0.0008298243,0.00043834597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023257567,0.0004415765,0.0004965992,0.0018541834,0.00048473378,0.0011878829,0.00039388525,0.00055417797,0.0058185966],"category_scores_gemma":[0.007180991,0.0001760374,0.00071126287,0.002767708,0.00041363697,0.0007973155,0.0006612385,0.001178076,0.0008735595],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002766644,0.00007638602,0.9384038,0.00008303558,0.0006824041,0.0009772535,0.00031180136,0.003026465,0.0012740272,0.006088437,0.010032398,0.038767435],"study_design_scores_gemma":[0.00001926105,0.000100915204,0.982733,0.00006684995,0.00028834335,0.00027905437,0.00025299404,0.0026613998,0.00078454934,0.0025397858,0.010242382,0.0000313759],"about_ca_topic_score_codex":0.015663523,"about_ca_topic_score_gemma":0.016892053,"teacher_disagreement_score":0.015663523,"about_ca_system_score_codex":0.0003974978,"about_ca_system_score_gemma":0.0004290702,"threshold_uncertainty_score":0.031144738},"labels":[],"label_agreement":null},{"id":"W1538385091","doi":"10.1007/978-3-662-04790-3_6","title":"Incomplete Diversification and Asset Pricing","year":2002,"lang":"en","type":"book-chapter","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Queen's University","funders":"","keywords":"Diversification (marketing strategy); Capital asset pricing model; Consumption-based capital asset pricing model; Asset (computer security); Rational pricing; Basis risk; Business; Financial economics; Arbitrage pricing theory; Economics; Computer science; Marketing","score_opus":0.06371389249068064,"score_gpt":0.19398901357703818,"score_spread":0.13027512108635753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538385091","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.084639415,0.1442891,0.27389476,0.017651888,0.0015420249,0.00008280248,0.00030131306,0.00019416303,0.4774045],"genre_scores_gemma":[0.73521686,0.044698928,0.025359226,0.0012956497,0.0028640933,0.00009223636,0.0003355713,0.00009800361,0.19003955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997874,0.000067235036,0.000008629761,0.00002847766,0.000087624474,0.00002067834],"domain_scores_gemma":[0.99929297,0.0003982687,0.00006887749,0.00009811654,0.000097494674,0.000044326094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080989825,0.00055811385,0.000740308,0.00057100214,0.00033072577,0.0017316418,0.0005089207,0.001071052,0.0050648786],"category_scores_gemma":[0.0032088782,0.0003081629,0.00028792623,0.0010037146,0.0017816816,0.0034126963,0.00059197546,0.0018766114,0.0006666264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000877491,0.00002254268,0.00024163153,0.00004117064,0.000011014834,0.00004537538,0.00008435832,0.004894455,0.00012990863,0.9510613,0.009578972,0.03388048],"study_design_scores_gemma":[0.0000026025998,0.0000039905935,0.00017461684,0.00001889419,0.000002685333,0.00004238288,0.000013330236,0.0034938494,0.00003581882,0.9864885,0.009720819,0.0000025086692],"about_ca_topic_score_codex":0.0010010746,"about_ca_topic_score_gemma":0.00074835634,"teacher_disagreement_score":0.0050648786,"about_ca_system_score_codex":0.00095902564,"about_ca_system_score_gemma":0.0006759675,"threshold_uncertainty_score":0.016943693},"labels":[],"label_agreement":null},{"id":"W1538396845","doi":"","title":"The Return on Private Investment in Public Equity","year":2010,"lang":"en","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Private equity; Private investment in public equity; Private equity firm; Equity (law); Investment (military); Private equity fund; Club deal; Business; Economics; Finance; Financial economics; Monetary economics; Political science","score_opus":0.03984766485176753,"score_gpt":0.23455363369811755,"score_spread":0.19470596884635002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538396845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97031397,0.0017213122,0.0011980353,0.0020682751,0.000034364784,0.000014549314,0.0011639285,0.00004537995,0.023440108],"genre_scores_gemma":[0.9926232,0.0004997633,0.00009050382,0.000043674518,0.00002607462,0.000003207372,0.0002549494,0.0000053953545,0.0064533553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993575,0.00008143614,0.000023308894,0.00005972183,0.00020090678,0.00027707135],"domain_scores_gemma":[0.9961771,0.0013645001,0.0012341806,0.00027130928,0.0004722954,0.00048058102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010333847,0.0002051074,0.00026923107,0.00088079466,0.00034745494,0.0028088482,0.0003093303,0.0008067249,0.006089747],"category_scores_gemma":[0.007702867,0.00016426579,0.00025864752,0.0012308958,0.00070034125,0.0013586282,0.0007489688,0.0007436745,0.0006177156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008192008,0.0002004221,0.69296014,0.000158473,0.00022590543,0.0007023595,0.0012027975,0.026664713,0.0032450517,0.1531935,0.0076295207,0.11299798],"study_design_scores_gemma":[0.00006117323,0.00021443528,0.88786715,0.0000972233,0.00012719781,0.00045366434,0.001939006,0.01953932,0.0027782437,0.058796983,0.028082768,0.00004277342],"about_ca_topic_score_codex":0.03834654,"about_ca_topic_score_gemma":0.046710953,"teacher_disagreement_score":0.03834654,"about_ca_system_score_codex":0.0057203635,"about_ca_system_score_gemma":0.0019347243,"threshold_uncertainty_score":0.07624668},"labels":[],"label_agreement":null},{"id":"W1538772738","doi":"","title":"The Puzzle of the Harmonious Stock Prices","year":2001,"lang":"en","type":"article","venue":"World Economy","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Stock (firearms); Diversification (marketing strategy); China; Economics; Stock market; Monetary economics; Emerging markets; Financial economics; Business; Macroeconomics; Geography","score_opus":0.02634696993430772,"score_gpt":0.2028356723054775,"score_spread":0.1764887023711698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538772738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63606113,0.014817994,0.0174426,0.20385627,0.00084551086,0.000029968558,0.0008767841,0.00017431121,0.12589535],"genre_scores_gemma":[0.9872782,0.0030098408,0.0014161748,0.0037582095,0.0005908925,0.000013147032,0.00011773034,0.000040466566,0.003775235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99930024,0.00020593195,0.000046766974,0.0001876488,0.0001861086,0.00007326034],"domain_scores_gemma":[0.99785906,0.0007036455,0.0005900883,0.00036089064,0.00028497362,0.00020126166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013309942,0.00017586995,0.00045856743,0.0006889993,0.0007926006,0.004300654,0.0005426666,0.0016749806,0.003578857],"category_scores_gemma":[0.012750967,0.00034918432,0.00027826166,0.0011620418,0.0034540766,0.0051554395,0.0015608966,0.002005907,0.001005905],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026769994,0.00006291802,0.032548115,0.00016401605,0.00026202342,0.0006000986,0.0029724606,0.0060258354,0.0019721468,0.8034057,0.032883983,0.11883496],"study_design_scores_gemma":[0.000063090025,0.000022097274,0.036902316,0.000048758335,0.000025241197,0.00022519367,0.0009735526,0.003120483,0.00029361434,0.9340961,0.024201667,0.000027922599],"about_ca_topic_score_codex":0.0023908506,"about_ca_topic_score_gemma":0.001716028,"teacher_disagreement_score":0.004300654,"about_ca_system_score_codex":0.00079968455,"about_ca_system_score_gemma":0.00059964956,"threshold_uncertainty_score":0.011972547},"labels":[],"label_agreement":null},{"id":"W1538868226","doi":"10.1111/j.1468-2443.2007.00076.x","title":"Competition and Market Structure of National Association of Securities Dealers Automated Quotations","year":2007,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Regina","funders":"","keywords":"Market power; Economic rent; Competition (biology); Business; Order (exchange); Market maker; Financial economics; Market microstructure; Economics; Stock market; Monetary economics; Finance; Microeconomics; Monopoly","score_opus":0.012349103250470918,"score_gpt":0.25205695131771977,"score_spread":0.23970784806724885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538868226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99518615,0.00013423734,0.00038000193,0.00019679574,0.0000046618143,0.000011448889,0.000093025265,0.000006437704,0.0039872956],"genre_scores_gemma":[0.9990779,0.000016722779,0.00010116559,0.000013507797,0.000008469489,0.0000039421657,0.00008188538,0.000002051838,0.0006943656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976681,0.0006698169,0.00017986559,0.00032387977,0.0008411103,0.00031727116],"domain_scores_gemma":[0.9374457,0.027493866,0.024959147,0.00246466,0.0047554136,0.002881254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029717912,0.00011093482,0.00035062456,0.0015636769,0.00071145716,0.0026915746,0.0005976506,0.00047591803,0.00885265],"category_scores_gemma":[0.029953275,0.00019420426,0.00026785518,0.0013116421,0.0010579701,0.0022596666,0.0009127029,0.00061923906,0.0006886084],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008119656,0.0007158406,0.91422844,0.00007447573,0.00015096611,0.00043429254,0.0011571205,0.010103534,0.004158646,0.025188595,0.0025434813,0.040432695],"study_design_scores_gemma":[0.00007754084,0.00036965194,0.94863987,0.000023526743,0.000030435269,0.00038328857,0.0011350315,0.032855757,0.0012431104,0.010892588,0.00428805,0.0000612406],"about_ca_topic_score_codex":0.0054218937,"about_ca_topic_score_gemma":0.0073551782,"teacher_disagreement_score":0.00885265,"about_ca_system_score_codex":0.0022128357,"about_ca_system_score_gemma":0.00085402856,"threshold_uncertainty_score":0.029615104},"labels":[],"label_agreement":null},{"id":"W1538992744","doi":"","title":"Risk Procyclicality and Dynamic Hedge Fund Strategies","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais","funders":"","keywords":"Hedge fund; Business cycle; Leverage (statistics); Recession; Economics; Monetary economics; Systematic risk; Financial economics; Econometrics; Finance; Macroeconomics; Computer science","score_opus":0.046834029691078846,"score_gpt":0.3056453980929817,"score_spread":0.25881136840190283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1538992744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9520418,0.0026854898,0.028697582,0.0011559377,0.00003252494,0.000024261888,0.00021782849,0.000102899605,0.015041568],"genre_scores_gemma":[0.9979972,0.0005034497,0.00057717046,0.000029721681,0.000024708732,0.00000432616,0.000038639584,0.0000045763304,0.0008201541],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976045,0.000042248623,0.000023421617,0.00007563655,0.000049512066,0.000048787846],"domain_scores_gemma":[0.9955487,0.00134516,0.0022878738,0.00044501928,0.00020364735,0.00016959125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089685596,0.00029341452,0.00046847007,0.000995449,0.0001962283,0.0017435405,0.00042380916,0.0006232736,0.002507546],"category_scores_gemma":[0.0082908645,0.00020075901,0.00036134882,0.00071219046,0.00082917546,0.001257837,0.00057671283,0.0007818424,0.00021852566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004088458,0.00019948198,0.17287837,0.000256148,0.0003908518,0.0018932407,0.0014770722,0.10964417,0.0079439385,0.54655415,0.004866682,0.15348698],"study_design_scores_gemma":[0.00011388564,0.00024332658,0.18802665,0.00014523002,0.00023202755,0.0016404813,0.0005372182,0.24316984,0.002244011,0.5563975,0.007153307,0.00009653539],"about_ca_topic_score_codex":0.0014589757,"about_ca_topic_score_gemma":0.00085809606,"teacher_disagreement_score":0.002507546,"about_ca_system_score_codex":0.00043488079,"about_ca_system_score_gemma":0.00020660934,"threshold_uncertainty_score":0.008388519},"labels":[],"label_agreement":null},{"id":"W1539518865","doi":"10.2139/ssrn.2018262","title":"The Pitch Rather than the Pit: Investor Inattention During FIFA World Cup Matches","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Business; Monetary economics; Economics","score_opus":0.017371282044111293,"score_gpt":0.2034498280301118,"score_spread":0.18607854598600052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539518865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9671692,0.00058457896,0.0002893059,0.0078366585,0.00052644784,0.00002966767,0.00016794581,0.000028860662,0.023367278],"genre_scores_gemma":[0.9943772,0.00018299773,0.00008762267,0.00096636993,0.00013242455,0.000014229883,0.00011365307,0.000016469889,0.0041090017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989825,0.00018211297,0.00004569079,0.00011042667,0.00024884535,0.00043029478],"domain_scores_gemma":[0.99476296,0.0010981839,0.0014755684,0.00020352194,0.0006242685,0.0018355876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024695166,0.00019627956,0.00037070576,0.00085596344,0.0037457957,0.0046852566,0.00082094263,0.0024172268,0.0061109737],"category_scores_gemma":[0.020073125,0.00027953243,0.00014815683,0.0007317676,0.0013381426,0.001984503,0.0028119858,0.002779529,0.00084708905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035505968,0.00085126515,0.61361635,0.0001838823,0.00017466219,0.004719008,0.13605264,0.0011066807,0.003162944,0.018572412,0.08677983,0.13122976],"study_design_scores_gemma":[0.0000693512,0.00037782552,0.71154445,0.00022878598,0.000067077955,0.00084927893,0.19639993,0.0016686866,0.0005584925,0.007096265,0.08103561,0.00010419729],"about_ca_topic_score_codex":0.031146593,"about_ca_topic_score_gemma":0.04740878,"teacher_disagreement_score":0.031146593,"about_ca_system_score_codex":0.001943187,"about_ca_system_score_gemma":0.0011779929,"threshold_uncertainty_score":0.061930597},"labels":[],"label_agreement":null},{"id":"W1539548722","doi":"10.2139/ssrn.354386","title":"The Real Effects of Investor Sentiment","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Monetary economics; Economics; Financial economics; Financial system","score_opus":0.011998021468690797,"score_gpt":0.1875605457594267,"score_spread":0.1755625242907359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539548722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98396146,0.0007290236,0.00054856617,0.0028780557,0.00010587739,0.0000071935124,0.0009767669,0.000027090746,0.010765858],"genre_scores_gemma":[0.9977404,0.00024174932,0.000057168112,0.000087500375,0.000049770086,0.0000022186957,0.00019420956,0.000009482024,0.0016175635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997322,0.00011243912,0.000019590749,0.000048440936,0.000037123107,0.000050283248],"domain_scores_gemma":[0.9911993,0.0059197084,0.0016013705,0.0002840739,0.00046500738,0.00053055846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012238293,0.00018861913,0.00030808712,0.00029734746,0.00021203796,0.0021170487,0.00023709754,0.0013460828,0.009026206],"category_scores_gemma":[0.012103492,0.00024344468,0.00027554037,0.000476512,0.00044656367,0.0013999715,0.0004783353,0.0015998397,0.0014193774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0076239337,0.0013099009,0.7437249,0.00050763955,0.0008094846,0.0023547104,0.0018386617,0.03413195,0.020329483,0.06764719,0.03150541,0.088216804],"study_design_scores_gemma":[0.00020998248,0.0005054551,0.94580215,0.00005334346,0.00019132637,0.0003373266,0.0010414945,0.02109248,0.0014403265,0.02298447,0.006276675,0.00006489742],"about_ca_topic_score_codex":0.0015005291,"about_ca_topic_score_gemma":0.0019934478,"teacher_disagreement_score":0.009026206,"about_ca_system_score_codex":0.0005594557,"about_ca_system_score_gemma":0.00014165656,"threshold_uncertainty_score":0.030195653},"labels":[],"label_agreement":null},{"id":"W1541529421","doi":"10.2139/ssrn.817445","title":"Benchmark Index of Risk Appetite","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Risk appetite; Index (typography); Appetite; Benchmark (surveying); Computer science; Econometrics; Mathematics; Medicine; Economics; Risk management; Internal medicine; Geography; World Wide Web; Cartography","score_opus":0.007985366212146515,"score_gpt":0.1913272561594368,"score_spread":0.18334188994729028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1541529421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49577886,0.0022983628,0.25226435,0.0027317768,0.00065303926,0.0003142968,0.007813326,0.0015494594,0.23659651],"genre_scores_gemma":[0.97383267,0.00026982932,0.012738125,0.00013948695,0.00024624934,0.00013554847,0.0017494039,0.00007602057,0.0108127585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987123,0.00030322274,0.000087937726,0.0002270925,0.00052404834,0.00014530052],"domain_scores_gemma":[0.9947351,0.0013786557,0.0008555102,0.0010693286,0.0014164986,0.0005449152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021910917,0.0005983678,0.00073879596,0.0032610898,0.00056513964,0.0030595965,0.00096126046,0.0010064619,0.013051879],"category_scores_gemma":[0.019015882,0.00010138794,0.0004020101,0.0020813786,0.0009816693,0.0033555562,0.0012613997,0.0007291388,0.0022064752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009834325,0.00031993765,0.034794394,0.00020268843,0.00020716582,0.0002024987,0.00039789078,0.01812006,0.006738659,0.74263597,0.024265792,0.17113158],"study_design_scores_gemma":[0.00006698301,0.0004625975,0.08483665,0.000102711725,0.00007139544,0.0005257083,0.00041210855,0.15289737,0.0044854386,0.7333152,0.022711007,0.00011271256],"about_ca_topic_score_codex":0.00070148986,"about_ca_topic_score_gemma":0.00044001575,"teacher_disagreement_score":0.013051879,"about_ca_system_score_codex":0.0011060169,"about_ca_system_score_gemma":0.0005997982,"threshold_uncertainty_score":0.043662846},"labels":[],"label_agreement":null},{"id":"W1544909679","doi":"","title":"Optimal investment and asymmetric risk for a large portfolio: a large deviations approach","year":2005,"lang":"en","type":"preprint","venue":"Warwick Research Archive Portal (University of Warwick)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Portfolio; Econometrics; Post-modern portfolio theory; Portfolio optimization; Economics; Parametric statistics; Modern portfolio theory; Equity (law); Replicating portfolio; Information asymmetry; Rate of return on a portfolio; Asymmetry; Actuarial science; Mathematics; Financial economics; Microeconomics; Statistics","score_opus":0.04937288236885386,"score_gpt":0.2602801319151712,"score_spread":0.21090724954631734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1544909679","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018574538,0.00035172823,0.9786709,0.00040175792,0.000020028641,0.000029996441,0.00002582055,0.000080523525,0.0018447327],"genre_scores_gemma":[0.72462577,0.00070051546,0.26758665,0.00035527896,0.00024610205,0.00028874667,0.00022280801,0.00017454528,0.00579951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976624,0.001270888,0.000095431744,0.00034148316,0.0005098834,0.00012001165],"domain_scores_gemma":[0.9872652,0.010462945,0.0009793023,0.0004992903,0.00047082535,0.0003222929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060898974,0.0011708206,0.002373813,0.0017656367,0.00045640074,0.0021228015,0.0019822791,0.0015852925,0.0027290585],"category_scores_gemma":[0.020395763,0.0010531422,0.001020918,0.0010479919,0.0019765743,0.0027925621,0.00168956,0.0020873265,0.00034478237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010441556,0.00012052327,0.002094695,0.00011017517,0.00019319516,0.00015086141,0.00006738683,0.8146743,0.001278189,0.14927316,0.0008939679,0.031039076],"study_design_scores_gemma":[0.00001680325,0.000020258442,0.00015606283,0.000009479161,0.00001037071,0.000016205238,0.000004881195,0.9601486,0.0002201458,0.03919218,0.00019558391,0.000009409091],"about_ca_topic_score_codex":0.0011265352,"about_ca_topic_score_gemma":0.0011674934,"teacher_disagreement_score":0.0060898974,"about_ca_system_score_codex":0.001629734,"about_ca_system_score_gemma":0.00130138,"threshold_uncertainty_score":0.032206833},"labels":[],"label_agreement":null},{"id":"W1545168666","doi":"10.2139/ssrn.840505","title":"Competing Risks for Hedge Fund Survival","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Hedge fund; Business; Actuarial science; Economics; Finance","score_opus":0.06891643725298231,"score_gpt":0.27004936299894783,"score_spread":0.20113292574596553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545168666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23972353,0.009041487,0.7223175,0.009844336,0.00063037674,0.00011411333,0.0006699161,0.0005099827,0.017148662],"genre_scores_gemma":[0.9557366,0.0027451518,0.01657431,0.00038596484,0.0006876352,0.00013408122,0.00040704006,0.00010513091,0.023224141],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99737537,0.0013578637,0.00014710883,0.0004086427,0.00033866847,0.00037239364],"domain_scores_gemma":[0.9450138,0.04524888,0.0035587945,0.0020103373,0.001760982,0.0024071878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015454612,0.0015004141,0.003217154,0.002261979,0.0011185847,0.0040617,0.0029314293,0.0049044373,0.010081845],"category_scores_gemma":[0.05673722,0.001264729,0.0021466326,0.0015464025,0.004451973,0.0065149306,0.0032893443,0.005322132,0.0009749774],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016801748,0.000036315578,0.002882606,0.00011986158,0.00011965282,0.00028599467,0.00028542904,0.08396591,0.00031939702,0.8974335,0.0034411112,0.010942333],"study_design_scores_gemma":[0.00004814238,0.000056929246,0.0009889863,0.00003306976,0.00006125175,0.00020245381,0.00007456943,0.28395233,0.000106272775,0.71329063,0.0011415232,0.000043886837],"about_ca_topic_score_codex":0.004053968,"about_ca_topic_score_gemma":0.0019886836,"teacher_disagreement_score":0.015454612,"about_ca_system_score_codex":0.001998111,"about_ca_system_score_gemma":0.0013051833,"threshold_uncertainty_score":0.08173275},"labels":[],"label_agreement":null},{"id":"W1545827626","doi":"","title":"The Diminishing Weekend Effect: Experience of Five G7 Countries","year":2003,"lang":"en","type":"article","venue":"Academy of Accounting and Financial Studies journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Weekend effect; Economics; Stock (firearms); Anomaly (physics); Financial economics; Geography; Political science","score_opus":0.028757989440195066,"score_gpt":0.26321738719015614,"score_spread":0.23445939774996108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545827626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943193,0.0004034625,0.00009231288,0.00033857586,0.000016421145,0.0000062183003,0.00012331855,0.000008811587,0.0046915216],"genre_scores_gemma":[0.9975362,0.00051736017,0.00007945864,0.000120296434,0.000013674227,0.0000033135561,0.0001724357,0.000010116368,0.0015472043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995054,0.00019617926,0.000019982976,0.000041089774,0.00004721049,0.00019014927],"domain_scores_gemma":[0.9984945,0.00043793028,0.0003321687,0.00012120697,0.0002259694,0.0003882205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010422682,0.00026448964,0.00029506008,0.00080611935,0.0009985033,0.0017624905,0.00039232592,0.00061306654,0.0027941682],"category_scores_gemma":[0.0015747284,0.000113625705,0.00022652226,0.0012726991,0.00096902135,0.001129296,0.0018389306,0.0008036945,0.0005483909],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088731933,0.0005172264,0.7093552,0.00034866366,0.00015750492,0.014026344,0.12908578,0.0024376549,0.002302751,0.009837455,0.026799014,0.10424514],"study_design_scores_gemma":[0.000062746636,0.0011257934,0.60794336,0.00018783205,0.00009329342,0.00307492,0.27765065,0.002021131,0.0023651118,0.0014093451,0.10394043,0.00012532399],"about_ca_topic_score_codex":0.015130971,"about_ca_topic_score_gemma":0.013850994,"teacher_disagreement_score":0.015130971,"about_ca_system_score_codex":0.00059858034,"about_ca_system_score_gemma":0.00043084283,"threshold_uncertainty_score":0.030085802},"labels":[],"label_agreement":null},{"id":"W154708423","doi":"10.2139/ssrn.1108465","title":"The Pricing Error Function","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Function (biology); Economics; Econometrics; Biology","score_opus":0.022462451113578086,"score_gpt":0.19955584110194985,"score_spread":0.17709338998837176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W154708423","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027562963,0.002109411,0.9419572,0.0056935083,0.0011939956,0.0000377722,0.00034297712,0.00039492073,0.020707354],"genre_scores_gemma":[0.80001044,0.004635296,0.085674204,0.001298205,0.002404847,0.00011251149,0.00093950087,0.0005504453,0.10437448],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974179,0.0009641547,0.00014750355,0.00062193273,0.0006595135,0.00018891739],"domain_scores_gemma":[0.9886923,0.00704852,0.00082011824,0.0014018946,0.0017327422,0.0003043992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043152166,0.0010707888,0.00098132,0.001570395,0.00045476307,0.0046126777,0.0013250615,0.0041017127,0.011452936],"category_scores_gemma":[0.035417814,0.00064956635,0.00077339774,0.0016560174,0.0020850722,0.0071343393,0.0018850287,0.0032239058,0.0038864457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044699285,0.000032078704,0.0011733618,0.00008448164,0.0000546028,0.00018653001,0.00011483225,0.03332084,0.0011801461,0.9150915,0.004738986,0.043977875],"study_design_scores_gemma":[0.000018580646,0.000026034773,0.0015321667,0.00006310413,0.00003986363,0.00045858673,0.000039355302,0.37058452,0.0013560472,0.61740476,0.00841474,0.00006216046],"about_ca_topic_score_codex":0.0012571483,"about_ca_topic_score_gemma":0.00038871277,"teacher_disagreement_score":0.011452936,"about_ca_system_score_codex":0.00084901345,"about_ca_system_score_gemma":0.00088605727,"threshold_uncertainty_score":0.038313925},"labels":[],"label_agreement":null},{"id":"W1548384243","doi":"10.2139/ssrn.2169093","title":"Are Private Targets Better Buys?","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business","score_opus":0.018457747241458412,"score_gpt":0.20634768894134217,"score_spread":0.18788994169988377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1548384243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82897174,0.0039519123,0.0032031608,0.050996643,0.0005386307,0.000038681126,0.00093228446,0.00018329937,0.11118359],"genre_scores_gemma":[0.9934475,0.00035302783,0.00008334242,0.0010330956,0.00023765925,0.000004102508,0.000089489964,0.000022435737,0.004729408],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981713,0.0004568015,0.00009527396,0.00029237333,0.00038814443,0.000596044],"domain_scores_gemma":[0.9742386,0.0106118815,0.009757969,0.0014249815,0.0017527689,0.0022138339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022879948,0.00027160198,0.0012822829,0.00080996664,0.00065403554,0.0057633384,0.0005034858,0.00280741,0.036257967],"category_scores_gemma":[0.023281772,0.00032063253,0.0003209616,0.0010884108,0.0016006221,0.0053883563,0.0007705975,0.0024011494,0.0036552504],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004816901,0.002087739,0.46506014,0.000906942,0.0013354619,0.0016945904,0.0053243455,0.004309795,0.004585771,0.1821136,0.06978121,0.25798354],"study_design_scores_gemma":[0.0008458011,0.0012477525,0.5688319,0.0002339528,0.0007593862,0.001522323,0.012526244,0.008533719,0.004106479,0.36345184,0.037792873,0.00014770395],"about_ca_topic_score_codex":0.002584411,"about_ca_topic_score_gemma":0.0027727687,"teacher_disagreement_score":0.036257967,"about_ca_system_score_codex":0.0011252215,"about_ca_system_score_gemma":0.0006110554,"threshold_uncertainty_score":0.121294916},"labels":[],"label_agreement":null},{"id":"W1548746144","doi":"10.2139/ssrn.313205","title":"An Equilibrium Model of Rare Event Premia","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia","funders":"","keywords":"Equity premium puzzle; Economics; Risk premium; Moneyness; Econometrics; Risk aversion (psychology); Variance risk premium; Capital asset pricing model; Implied volatility; Financial economics; Volatility (finance); Volatility risk premium; Expected utility hypothesis","score_opus":0.02577563138409226,"score_gpt":0.21407855952806878,"score_spread":0.18830292814397653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1548746144","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20640077,0.0021096454,0.7214186,0.009890676,0.00045675001,0.00018178519,0.0019456847,0.0008513311,0.05674485],"genre_scores_gemma":[0.91678077,0.0012435399,0.02368683,0.00047511468,0.0004045288,0.00017102972,0.0005115196,0.00014634221,0.05658031],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988733,0.00038766247,0.000057396624,0.00026728553,0.00015334535,0.00026102294],"domain_scores_gemma":[0.9933634,0.0043696524,0.0008444819,0.00029413548,0.0006680956,0.0004603035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027581325,0.0011623418,0.0027007228,0.0017481185,0.000971877,0.004838418,0.004543566,0.0052524796,0.015457898],"category_scores_gemma":[0.012400229,0.0011898879,0.0015000991,0.0015236114,0.0022136245,0.0054115537,0.001741899,0.002638376,0.0019878387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107165004,0.000089451794,0.0008383504,0.00007780784,0.00007811253,0.00046158352,0.00017827112,0.11705895,0.0007671914,0.87320524,0.0030385463,0.0040993057],"study_design_scores_gemma":[0.0001370605,0.000047663372,0.00032866705,0.000018680472,0.00004747728,0.00020916338,0.00005461403,0.6447724,0.0001366314,0.35284835,0.0013549355,0.00004431814],"about_ca_topic_score_codex":0.0067761377,"about_ca_topic_score_gemma":0.004422739,"teacher_disagreement_score":0.015457898,"about_ca_system_score_codex":0.0021598984,"about_ca_system_score_gemma":0.0016949744,"threshold_uncertainty_score":0.051711798},"labels":[],"label_agreement":null},{"id":"W1548862739","doi":"","title":"Reconstructing the Historical Performance of Merged Ecommerce Mutual Funds","year":2008,"lang":"en","type":"article","venue":"ASAC","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University; Acadia University; University of Toronto","funders":"","keywords":"Business; Computer science","score_opus":0.06319607551102667,"score_gpt":0.19614172302151844,"score_spread":0.13294564751049176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1548862739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927112,0.0006915837,0.00057431706,0.0005840914,0.000011853415,0.0000031871532,0.0005207834,0.000018096793,0.0048847995],"genre_scores_gemma":[0.99856454,0.00020282992,0.0002400334,0.000014896219,0.000012250281,0.0000013277906,0.00027688133,0.000005915968,0.0006814311],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966705,0.00006408853,0.00003073629,0.00006452106,0.00008091512,0.00009264012],"domain_scores_gemma":[0.9965155,0.00070833846,0.0012334841,0.00023416201,0.0009879182,0.00032068175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009909119,0.0001561203,0.0001449164,0.002694824,0.00043995868,0.00217301,0.00039062265,0.0007933729,0.0020049994],"category_scores_gemma":[0.00829092,0.00022128194,0.0001496211,0.00342259,0.00058503536,0.0021450326,0.00080512674,0.0007128427,0.00040197853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005549637,0.00013625936,0.7907303,0.00009008238,0.00016962766,0.0011472071,0.004049438,0.023372581,0.0030735598,0.06989699,0.007011874,0.0997671],"study_design_scores_gemma":[0.000017333572,0.00009294309,0.92060953,0.000094401155,0.00007643147,0.0004671964,0.0027970353,0.033103917,0.0022189098,0.0075183897,0.03294819,0.00005570311],"about_ca_topic_score_codex":0.022419931,"about_ca_topic_score_gemma":0.044271722,"teacher_disagreement_score":0.022419931,"about_ca_system_score_codex":0.0019899446,"about_ca_system_score_gemma":0.0006277843,"threshold_uncertainty_score":0.04457885},"labels":[],"label_agreement":null},{"id":"W1549168350","doi":"10.1111/irfi.12005","title":"The Intraday Pattern of Information Asymmetry, Spread, and Depth: Evidence from the <scp>NYSE</scp>","year":2013,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saskatoon Medical Imaging; University of Saskatchewan","funders":"","keywords":"Market liquidity; Information asymmetry; Asymmetry; Transaction data; Database transaction; Business; Monetary economics; Investment (military); Interval (graph theory); Transaction cost; Economics; Econometrics; Financial economics; Mathematics; Finance; Computer science; Combinatorics; Database","score_opus":0.02344949564237986,"score_gpt":0.23348070387937572,"score_spread":0.21003120823699586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549168350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949551,0.0010767459,0.00036623242,0.00021048335,0.000009105406,0.0000082097395,0.0006800924,0.00000978321,0.0026840556],"genre_scores_gemma":[0.9974146,0.0008918483,0.00026977228,0.000038483173,0.000045969686,0.0000074621535,0.00092792354,0.000006102595,0.0003978779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944884,0.00014191894,0.00007205792,0.00007691578,0.0002069569,0.00005323859],"domain_scores_gemma":[0.9809312,0.0059732986,0.0093591865,0.00078296755,0.002247037,0.00070621545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017702567,0.00013813628,0.00029731574,0.0016504577,0.0002929184,0.0012407611,0.00026338795,0.00033273714,0.0020062688],"category_scores_gemma":[0.0096102785,0.00016291729,0.00018039643,0.0025942137,0.00030907858,0.0009866031,0.0006368883,0.00046559572,0.00042897757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004512937,0.00011073591,0.97533345,0.00008377708,0.00019781668,0.0002076833,0.00039413568,0.00095410534,0.0010773893,0.0009569116,0.0019967025,0.018236011],"study_design_scores_gemma":[0.000013284008,0.00005783692,0.995729,0.000020854737,0.0000369545,0.00010700117,0.00025636738,0.0015939495,0.000271711,0.000499529,0.0014017128,0.0000116955025],"about_ca_topic_score_codex":0.0075398544,"about_ca_topic_score_gemma":0.00875779,"teacher_disagreement_score":0.0075398544,"about_ca_system_score_codex":0.00027509703,"about_ca_system_score_gemma":0.00026320646,"threshold_uncertainty_score":0.014991939},"labels":[],"label_agreement":null},{"id":"W1549227662","doi":"10.2139/ssrn.283184","title":"How do Foreigners Profit from Local Investors? Evidence from Trades in the Japanese Stock Market","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Business; Stock market; Market maker; Financial economics; Stock exchange; Monetary economics; Economics; Finance; Geography","score_opus":0.03405299233887562,"score_gpt":0.21994390695616886,"score_spread":0.18589091461729323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549227662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99680305,0.00046305865,0.00002577151,0.00022467904,0.0000040550362,0.0000026527541,0.0000633937,0.0000015323299,0.0024118847],"genre_scores_gemma":[0.99892634,0.00043131167,0.000015279778,0.000054309014,0.000016821195,0.0000013607878,0.000067692774,0.0000010588916,0.00048588665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976486,0.000056853936,0.000019933947,0.00004090816,0.00004542532,0.00007211419],"domain_scores_gemma":[0.9946359,0.0013836384,0.0024974658,0.00026276655,0.0004600465,0.0007602221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008273697,0.0002054946,0.00029535728,0.0009901739,0.00093827874,0.0015583341,0.00034127585,0.0007210682,0.0039408933],"category_scores_gemma":[0.0033189245,0.00015866873,0.00024411385,0.0015495997,0.0011335112,0.0017874653,0.0007206028,0.0005826998,0.0004846855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005918932,0.00014931324,0.9829611,0.0000661403,0.00013132024,0.0005696474,0.0023661053,0.00019465282,0.0005615287,0.0008840521,0.00085827126,0.010665881],"study_design_scores_gemma":[0.00005085021,0.00011027927,0.9897069,0.000021786966,0.00021234152,0.00016496975,0.007364793,0.00031166643,0.00043035712,0.00041533873,0.0011972677,0.000013527344],"about_ca_topic_score_codex":0.014594725,"about_ca_topic_score_gemma":0.037204593,"teacher_disagreement_score":0.014594725,"about_ca_system_score_codex":0.0004856039,"about_ca_system_score_gemma":0.000309835,"threshold_uncertainty_score":0.029019594},"labels":[],"label_agreement":null},{"id":"W1549381392","doi":"10.3386/w18680","title":"Informed Trading and Expected Returns","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Financial economics; Economics","score_opus":0.42732314555549994,"score_gpt":0.45410824683196516,"score_spread":0.026785101276465217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549381392","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99398637,0.0005037981,0.0011728813,0.000281626,0.000008165728,0.000007698027,0.00061720976,0.000023504641,0.0033987646],"genre_scores_gemma":[0.99919194,0.00011637379,0.00011565585,0.000023060773,0.000014987025,0.000002652592,0.00027465788,0.0000023863392,0.00025819638],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929833,0.00018744204,0.000079336096,0.00012931792,0.00019427309,0.0001112616],"domain_scores_gemma":[0.97318256,0.012126384,0.011296588,0.0016738614,0.00071027555,0.0010103945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018902124,0.00027884886,0.0004556207,0.0011974986,0.00018238713,0.0016163236,0.000269334,0.00062666135,0.0040744715],"category_scores_gemma":[0.020494366,0.00024115945,0.00038523882,0.0012529268,0.0004812172,0.0013846904,0.0006658314,0.0007423211,0.0005795874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019535479,0.00009851219,0.9798937,0.000021535792,0.0002316195,0.00018488131,0.00013196866,0.0032862884,0.0003936829,0.002575594,0.00045059563,0.012536335],"study_design_scores_gemma":[0.00001841771,0.0000800706,0.9837091,0.000017153741,0.000065554326,0.00022223893,0.00011214911,0.006484695,0.0004366897,0.0082588745,0.00057094573,0.00002406449],"about_ca_topic_score_codex":0.002322051,"about_ca_topic_score_gemma":0.0022076198,"teacher_disagreement_score":0.0040744715,"about_ca_system_score_codex":0.00042447308,"about_ca_system_score_gemma":0.00020659437,"threshold_uncertainty_score":0.013630509},"labels":[],"label_agreement":null},{"id":"W1550962900","doi":"10.2139/ssrn.2024782","title":"Do Realized Skewness and Kurtosis Predict the Cross-Section of Equity Returns?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Wilfrid Laurier University","funders":"","keywords":"Kurtosis; Skewness; Equity (law); Econometrics; Economics; Financial economics; Statistics; Mathematics; Political science; Law","score_opus":0.04518900027793729,"score_gpt":0.25523480150591277,"score_spread":0.21004580122797548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550962900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981159,0.00021308957,0.0005850351,0.00025511364,0.000013827623,0.000002787999,0.00015911543,0.000011514418,0.00064368657],"genre_scores_gemma":[0.9994369,0.0000918791,0.00006720121,0.000029926368,0.000026367723,0.0000018091644,0.0001702057,0.0000060396246,0.00016971005],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993795,0.00023319224,0.00006213839,0.00010920301,0.00007900992,0.00013687345],"domain_scores_gemma":[0.9696546,0.017730404,0.0070397523,0.0023760253,0.0010313937,0.0021677946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037666252,0.00060954684,0.0006573028,0.0009494423,0.00027830945,0.0025084873,0.0008028058,0.00207854,0.0035887703],"category_scores_gemma":[0.025848864,0.00061266,0.00093353435,0.000789131,0.0010353309,0.003323483,0.0008692341,0.0014992944,0.0021959152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022484658,0.00008103297,0.9941729,0.000008642972,0.00013836737,0.00007653829,0.00008887822,0.0011211841,0.00025178428,0.00032317042,0.00020037155,0.003312326],"study_design_scores_gemma":[0.000025728485,0.00012321182,0.9838389,0.00001308107,0.0000662767,0.00021179153,0.00025184613,0.010961613,0.00030114278,0.0039900113,0.00019316563,0.000023247696],"about_ca_topic_score_codex":0.002356105,"about_ca_topic_score_gemma":0.0020504966,"teacher_disagreement_score":0.0037666252,"about_ca_system_score_codex":0.00025767946,"about_ca_system_score_gemma":0.0003983156,"threshold_uncertainty_score":0.019920051},"labels":[],"label_agreement":null},{"id":"W1551150277","doi":"10.34989/swp-2003-20","title":"The U.S. Stock Market and Fundamentals: A Historical Decomposition","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Stock (firearms); Stock market; Humanities; Philosophy; Engineering; Geography","score_opus":0.04741137183072944,"score_gpt":0.2930883854780095,"score_spread":0.2456770136472801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1551150277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53101516,0.20555253,0.06568745,0.010166153,0.001270096,0.00019426298,0.0179484,0.00038414786,0.16778177],"genre_scores_gemma":[0.8965233,0.061014913,0.01874391,0.0004119855,0.0008417009,0.000059909555,0.0060268296,0.000048423608,0.016329002],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99989736,0.000012382191,0.000010827495,0.000026610258,0.00003983169,0.000012919156],"domain_scores_gemma":[0.9997167,0.000050458046,0.00006868789,0.000018098443,0.00011591507,0.000030133495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037261817,0.00036648562,0.00019500547,0.004565541,0.00029033437,0.0012871216,0.00014692191,0.00038752804,0.0022272936],"category_scores_gemma":[0.00084165647,0.00017488835,0.00022768546,0.004965017,0.00026169833,0.0014314369,0.00038451413,0.0005851082,0.00055400364],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102616,0.00010918188,0.119780265,0.0005147896,0.00012820541,0.0004645253,0.0007992584,0.016231284,0.0026078168,0.327903,0.04196949,0.48938957],"study_design_scores_gemma":[0.000019783536,0.00016561503,0.42898676,0.00082344783,0.0001565061,0.0011495304,0.00061494973,0.046633158,0.0021978219,0.1123287,0.40685022,0.00007351709],"about_ca_topic_score_codex":0.008055782,"about_ca_topic_score_gemma":0.00761657,"teacher_disagreement_score":0.008055782,"about_ca_system_score_codex":0.00078799366,"about_ca_system_score_gemma":0.00052246975,"threshold_uncertainty_score":0.016017795},"labels":[],"label_agreement":null},{"id":"W1551173479","doi":"10.2139/ssrn.951501","title":"Valuable Information and Costly Liquidity: Evidence from Individual Mutual Fund Trades","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mutual fund; Market liquidity; Business; Monetary economics; Target date fund; Finance; Financial economics; Economics; Financial system; Actuarial science; Open-end fund; Institutional investor; Corporate governance","score_opus":0.03893530679678517,"score_gpt":0.22068440362007874,"score_spread":0.18174909682329357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1551173479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998116,0.0002570854,0.00013628868,0.00011820521,0.0000018026288,0.0000045831734,0.00010248205,0.000005244641,0.0012582736],"genre_scores_gemma":[0.99934417,0.00018316215,0.000102024744,0.000016856839,0.000010927159,0.0000032567932,0.00010108819,0.0000026203606,0.00023592931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992311,0.00031574574,0.00007329489,0.00009288399,0.00017800972,0.00010900897],"domain_scores_gemma":[0.9177087,0.056469493,0.019725598,0.0031271349,0.0013096335,0.0016594884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026144425,0.00021426292,0.000552614,0.0014254948,0.00092724885,0.0023143056,0.0005586897,0.0014271309,0.004378435],"category_scores_gemma":[0.0334438,0.00036718155,0.0002748113,0.0016762982,0.0013202463,0.002308771,0.0011748928,0.00089831033,0.00044691568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071261125,0.0011281332,0.9030125,0.00031622793,0.0007654187,0.0012444047,0.0036593424,0.005703451,0.003790854,0.006988291,0.0018800723,0.06438525],"study_design_scores_gemma":[0.0005143604,0.0012171996,0.9547845,0.00012108527,0.00065624306,0.0015541269,0.0034014613,0.008931463,0.0034171361,0.021361012,0.0039211614,0.00012018423],"about_ca_topic_score_codex":0.0025618724,"about_ca_topic_score_gemma":0.0039594616,"teacher_disagreement_score":0.004378435,"about_ca_system_score_codex":0.00056335924,"about_ca_system_score_gemma":0.00034129212,"threshold_uncertainty_score":0.014647305},"labels":[],"label_agreement":null},{"id":"W1551382049","doi":"10.2139/ssrn.517782","title":"The Valuation of Domestic and Foreign Earnings and the Impact of Investor Sophistication","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sophistication; Valuation (finance); Earnings; Business; Financial economics; Economics; Monetary economics; Finance","score_opus":0.017980285809421483,"score_gpt":0.23402784162123905,"score_spread":0.21604755581181756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1551382049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905601,0.00027802517,0.00038271138,0.00025109597,0.0000050862186,0.0000033239348,0.000048255137,0.000003967389,0.008467312],"genre_scores_gemma":[0.9995419,0.00004824621,0.000048742673,0.0000066945195,0.000007514063,4.86112e-7,0.000017276454,0.0000016341245,0.0003276149],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994795,0.00022719218,0.000040503182,0.000056301677,0.0000959685,0.000100619975],"domain_scores_gemma":[0.96543527,0.023492914,0.007645615,0.00090568257,0.0010565837,0.0014638872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026892321,0.0002128293,0.00028815196,0.00074349734,0.0002400766,0.0037108685,0.00036537016,0.00090097147,0.004551352],"category_scores_gemma":[0.027070511,0.00014278555,0.000276308,0.0007146891,0.00096604903,0.003771221,0.0010569058,0.00091686734,0.00030150212],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029175584,0.00039849684,0.8619054,0.00010777711,0.00031184495,0.001862668,0.0017862659,0.026347041,0.004365112,0.057235528,0.0011376211,0.041624717],"study_design_scores_gemma":[0.00010673568,0.00053366367,0.9108873,0.00007006763,0.00014098358,0.0009139801,0.002569513,0.027066408,0.0021662153,0.05398349,0.0014852561,0.00007634182],"about_ca_topic_score_codex":0.0009914378,"about_ca_topic_score_gemma":0.0009747759,"teacher_disagreement_score":0.004551352,"about_ca_system_score_codex":0.00061272335,"about_ca_system_score_gemma":0.00022028161,"threshold_uncertainty_score":0.015225768},"labels":[],"label_agreement":null},{"id":"W1553465173","doi":"10.1111/caje.12013","title":"Imperfect financial integration and asymmetric information: competing explanations of the home bias puzzle?","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Imperfect; Financial integration; Economics; Perfect information; Rational expectations; Financial asset; Asset (computer security); Information asymmetry; Capital asset pricing model; Financial economics; Monetary economics; Finance; Financial market; Microeconomics; Econometrics","score_opus":0.08753762432072365,"score_gpt":0.16266570764268992,"score_spread":0.07512808332196627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1553465173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93433,0.0031641144,0.03055044,0.009576931,0.000081419814,0.000037106172,0.00019072928,0.000095559684,0.021973647],"genre_scores_gemma":[0.99813914,0.00035044973,0.0007437879,0.00028372032,0.000083662264,0.0000034280856,0.000020435013,0.000004860921,0.0003704914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99941206,0.00018709581,0.00004600792,0.00010268208,0.00014243955,0.00010965333],"domain_scores_gemma":[0.9857167,0.007972796,0.0040447284,0.0012702299,0.00059169333,0.0004039187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031125217,0.00024430407,0.0010924329,0.0009405925,0.00027520774,0.002715586,0.0007814826,0.0016023727,0.0044771237],"category_scores_gemma":[0.015636543,0.00027351142,0.00045865556,0.0008873639,0.0021414869,0.0044112504,0.0012182344,0.00096010446,0.00023407822],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007454223,0.00040364536,0.17244722,0.000529182,0.0005020947,0.0025767863,0.0022023204,0.0309749,0.0037302761,0.67660576,0.0048136115,0.10446881],"study_design_scores_gemma":[0.00018187102,0.00010298287,0.074167475,0.00016043572,0.00016158381,0.00069532305,0.0013308881,0.0943541,0.0015272459,0.82454616,0.0026902093,0.000081589],"about_ca_topic_score_codex":0.0020761804,"about_ca_topic_score_gemma":0.001330054,"teacher_disagreement_score":0.0044771237,"about_ca_system_score_codex":0.0007019259,"about_ca_system_score_gemma":0.000450918,"threshold_uncertainty_score":0.016460776},"labels":[],"label_agreement":null},{"id":"W1554145890","doi":"10.5539/ibr.v8n5p176","title":"The Effect of Financial Indicators on Trading Volume of the Listed Companies on the Tehran Stock Exchange","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Stock exchange; Business; Profitability index; Capital market; Monetary economics; Econometrics; Finance; Economics","score_opus":0.10665268103410631,"score_gpt":0.31385243466535995,"score_spread":0.20719975363125365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554145890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987691,0.00016358397,0.000050659422,0.000034716057,0.000009624262,0.000002387899,0.00021018165,0.000004244138,0.00075542496],"genre_scores_gemma":[0.99919814,0.00007835252,0.000046828336,0.000004363264,0.000013240498,0.0000019904178,0.0004264267,0.0000013701797,0.000229236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942786,0.00014490311,0.00006370355,0.00007908612,0.00022026413,0.000064124244],"domain_scores_gemma":[0.9950315,0.0021199698,0.0020710682,0.00013051217,0.00035194022,0.00029504107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008256009,0.00028574915,0.00021660727,0.0012434385,0.000111687805,0.00058490766,0.00019990059,0.00020772597,0.0012548633],"category_scores_gemma":[0.0048478954,0.000082567996,0.00036255017,0.0010242523,0.00018151742,0.0004511259,0.00027234072,0.00038022856,0.0002371032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020665221,0.000061052146,0.9928739,0.000014907678,0.0001002927,0.00010416973,0.0001244063,0.0004169683,0.00035184136,0.00006156356,0.00017653662,0.005507597],"study_design_scores_gemma":[0.0000023876112,0.00012690065,0.99854195,0.0000042062434,0.00002801023,0.00006163217,0.00009847432,0.0007583534,0.0001892676,0.000022307437,0.00016304408,0.0000035247388],"about_ca_topic_score_codex":0.0029466755,"about_ca_topic_score_gemma":0.0039090523,"teacher_disagreement_score":0.0029466755,"about_ca_system_score_codex":0.0002954384,"about_ca_system_score_gemma":0.00021594984,"threshold_uncertainty_score":0.0058590174},"labels":[],"label_agreement":null},{"id":"W1555549499","doi":"10.2139/ssrn.962168","title":"Stocks of Admired Companies and Despised Ones","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Business; Accounting; Economics","score_opus":0.01861436636364648,"score_gpt":0.21618123939163483,"score_spread":0.19756687302798837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555549499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693736,0.0015242001,0.0002179886,0.0012784404,0.00008572796,0.000008424412,0.0003462199,0.000010368826,0.027155086],"genre_scores_gemma":[0.9938432,0.000273029,0.00008771052,0.000098354576,0.000035517252,0.0000017084234,0.00019974886,0.000003199392,0.0054575526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996886,0.00003551984,0.000032766067,0.000042608688,0.000108032626,0.000092425646],"domain_scores_gemma":[0.9972976,0.00037280197,0.0010691723,0.00013035213,0.0005566607,0.0005734919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058452034,0.0001508492,0.00023624187,0.0015622199,0.0007835422,0.0035243996,0.0003801135,0.0006992089,0.0048635085],"category_scores_gemma":[0.0039783646,0.00008710132,0.00009424811,0.0016602727,0.00096026325,0.0026076003,0.0010082278,0.00051935884,0.00053857436],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013598761,0.00017593012,0.7588327,0.00020430607,0.00021375755,0.00100681,0.0056760837,0.0012355103,0.0025160424,0.10320646,0.009067454,0.116505034],"study_design_scores_gemma":[0.000040675648,0.00030644736,0.8841847,0.00016307464,0.00011499904,0.001123673,0.019538837,0.0033328307,0.0028300853,0.048112173,0.04017722,0.00007528405],"about_ca_topic_score_codex":0.004599702,"about_ca_topic_score_gemma":0.01170247,"teacher_disagreement_score":0.0048635085,"about_ca_system_score_codex":0.00075416197,"about_ca_system_score_gemma":0.0003289306,"threshold_uncertainty_score":0.016270041},"labels":[],"label_agreement":null},{"id":"W1556795804","doi":"","title":"International Bond Markets: A Cointegration Study","year":2008,"lang":"en","type":"article","venue":"Academy of Accounting and Financial Studies journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Diversification (marketing strategy); Bond; Government bond; Capital market; Economics; Bond market; Financial economics; Financial market; Emerging markets; Monetary economics; Finance; Business; Econometrics","score_opus":0.0554275275342762,"score_gpt":0.26926699045559344,"score_spread":0.21383946292131722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556795804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93762195,0.00583318,0.028484821,0.0027172754,0.00006870157,0.00004374307,0.0002484108,0.000078638026,0.024903292],"genre_scores_gemma":[0.9960169,0.0014054817,0.00095642003,0.00006203476,0.000063807034,0.000016630891,0.00014159331,0.000008322567,0.0013287532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999328,0.0003161829,0.000044732275,0.00008777135,0.00011388871,0.00010947661],"domain_scores_gemma":[0.99334997,0.00420302,0.0014202757,0.0002502039,0.00053459057,0.00024204084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019597355,0.00031666932,0.000605832,0.0023636983,0.0005863821,0.0023635142,0.00032310825,0.001039773,0.0060029128],"category_scores_gemma":[0.010950339,0.000214685,0.00059314934,0.0038669326,0.0008156862,0.002771133,0.0007335142,0.0012671213,0.0005146786],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020776418,0.0004290653,0.3699664,0.00020716725,0.0005453042,0.002353021,0.0025875776,0.058853682,0.0015279016,0.4542818,0.00872614,0.10031417],"study_design_scores_gemma":[0.00011362338,0.0005803486,0.23032074,0.00046311473,0.00051626994,0.0011865131,0.0033842362,0.49972394,0.0014318529,0.2362934,0.02589602,0.000089877576],"about_ca_topic_score_codex":0.0050089676,"about_ca_topic_score_gemma":0.0030111219,"teacher_disagreement_score":0.0060029128,"about_ca_system_score_codex":0.00062087213,"about_ca_system_score_gemma":0.00055446004,"threshold_uncertainty_score":0.020081699},"labels":[],"label_agreement":null},{"id":"W1557067574","doi":"10.2139/ssrn.873563","title":"Repurchasing Shares on a Second Trading Line","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Business; Line (geometry); Financial economics; Economics; Mathematics","score_opus":0.018951096990881648,"score_gpt":0.20870401658476684,"score_spread":0.18975291959388518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557067574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93614614,0.00012635531,0.0077575375,0.00030484737,0.00007943195,0.00012304774,0.00028855848,0.00028176812,0.0548924],"genre_scores_gemma":[0.9731843,0.000026118212,0.0015728977,0.000051554962,0.00005446515,0.00001245236,0.00018949676,0.000028111006,0.024880806],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99857795,0.00016782832,0.00007622295,0.00025708764,0.0004998091,0.00042111837],"domain_scores_gemma":[0.9923584,0.0019375059,0.0012857651,0.0026781857,0.0010580522,0.0006820251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010841577,0.00040122124,0.0006639551,0.0008764463,0.0008000382,0.004507659,0.0013882562,0.0024228457,0.027840085],"category_scores_gemma":[0.008777001,0.00027498743,0.00075151114,0.00088033447,0.00047279202,0.0037602445,0.001120228,0.0017712101,0.00623027],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0114961965,0.00561876,0.18898126,0.00034301405,0.0005845972,0.024677353,0.0034806405,0.021886913,0.16944845,0.1577211,0.020688359,0.3950733],"study_design_scores_gemma":[0.0010945183,0.008461285,0.2623551,0.00019412395,0.0006980439,0.01748927,0.0061023873,0.31806862,0.14379983,0.1617131,0.0794949,0.0005288519],"about_ca_topic_score_codex":0.0012046415,"about_ca_topic_score_gemma":0.0012783727,"teacher_disagreement_score":0.027840085,"about_ca_system_score_codex":0.0006903139,"about_ca_system_score_gemma":0.00044010777,"threshold_uncertainty_score":0.09313434},"labels":[],"label_agreement":null},{"id":"W1557738600","doi":"10.1111/j.1467-629x.2012.00494.x","title":"Can quote competition reduce preferenced trading? A reexamination of the SEC’s 1997 order handling rules","year":2012,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Competition (biology); Order (exchange); Economics; Business; Finance","score_opus":0.027670208875977837,"score_gpt":0.20999321763496484,"score_spread":0.182323008758987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557738600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814373,0.00021435086,0.0012951524,0.0022180087,0.000053700365,0.000035687688,0.00010495117,0.00004859147,0.014592235],"genre_scores_gemma":[0.99806124,0.000044191147,0.00058573834,0.00038731188,0.000032837783,0.000006265767,0.00003899137,0.0000067737788,0.00083665823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997781,0.0004920212,0.00018282785,0.0002627539,0.00088894175,0.00039246475],"domain_scores_gemma":[0.9814321,0.008245612,0.0050084065,0.001802654,0.0024509162,0.0010603508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004461462,0.00018929008,0.000493063,0.00061887706,0.00073662336,0.0033665167,0.0010147807,0.00112057,0.0037931185],"category_scores_gemma":[0.021553578,0.0002235455,0.0004835051,0.00066894776,0.0012206441,0.0015234178,0.0008851097,0.0015767517,0.00035505067],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034848547,0.0027489862,0.5083151,0.00047540644,0.0003425465,0.0037757116,0.0056758095,0.019595744,0.045799054,0.13115065,0.016868098,0.26176804],"study_design_scores_gemma":[0.00041498998,0.0026616561,0.86668915,0.00017849007,0.00019423754,0.00078628707,0.005164803,0.036891058,0.016235797,0.0330254,0.037517723,0.00024040786],"about_ca_topic_score_codex":0.012622535,"about_ca_topic_score_gemma":0.012964082,"teacher_disagreement_score":0.012622535,"about_ca_system_score_codex":0.0019302352,"about_ca_system_score_gemma":0.0020509376,"threshold_uncertainty_score":0.025098145},"labels":[],"label_agreement":null},{"id":"W1559508785","doi":"","title":"Robust Selling Times in Adaptive Portfolio Management","year":2009,"lang":"en","type":"article","venue":"Algorithmic operations research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock price; Computer science; Portfolio; Stock (firearms); Portfolio optimization; Econometrics; Project portfolio management; Robust optimization; Investment strategy; Operations research; Mathematical optimization; Economics; Microeconomics; Financial economics; Mathematics; Series (stratigraphy); Profit (economics); Project management","score_opus":0.12120749882051815,"score_gpt":0.3038757568824742,"score_spread":0.18266825806195605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559508785","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03400937,0.00077099033,0.96281075,0.0002695977,0.000037524773,0.000031278578,0.000028308656,0.0001790357,0.0018630817],"genre_scores_gemma":[0.9061461,0.0006141417,0.09074744,0.00009499118,0.00012137524,0.00012436749,0.00006234006,0.00007522738,0.0020138824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838626,0.00063275447,0.00009443844,0.00034805833,0.00040494642,0.00013367388],"domain_scores_gemma":[0.99461114,0.0038284392,0.00083611347,0.00027960926,0.00028257407,0.00016214194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039574387,0.0010350301,0.0013565051,0.00074601406,0.00045109214,0.0014666254,0.0012557134,0.0012207818,0.0016700069],"category_scores_gemma":[0.015003674,0.00071213953,0.00060535176,0.0007861535,0.0014806921,0.0023835578,0.001125402,0.001421118,0.00024747013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098404176,0.000038411683,0.00056392,0.0000453103,0.00004512577,0.000062256935,0.00005240071,0.9324189,0.0010304574,0.039190404,0.00028340876,0.026171155],"study_design_scores_gemma":[0.000012465964,0.000030944906,0.00010754601,0.000004244616,0.0000065139407,0.000012335944,0.0000046975374,0.97379965,0.000260129,0.025597831,0.00015567876,0.000008101027],"about_ca_topic_score_codex":0.0015277439,"about_ca_topic_score_gemma":0.00067569956,"teacher_disagreement_score":0.0039574387,"about_ca_system_score_codex":0.00091387896,"about_ca_system_score_gemma":0.000781442,"threshold_uncertainty_score":0.020929158},"labels":[],"label_agreement":null},{"id":"W1562075212","doi":"10.2139/ssrn.1145849","title":"Events and Price Adjustment Accuracy: Evidence from Post-IPO Market","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Initial public offering; Business; Monetary economics; Economics; Econometrics; Financial economics","score_opus":0.024729536691220237,"score_gpt":0.21915782442779555,"score_spread":0.1944282877365753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562075212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99496305,0.00032136022,0.00026742046,0.00042269207,0.000023049093,0.000012075841,0.0008071987,0.000017656399,0.0031655426],"genre_scores_gemma":[0.997542,0.0003085951,0.00007298882,0.000053662265,0.00008564532,0.0000049610435,0.0013426394,0.000012465497,0.0005770723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993298,0.00014891829,0.000104634004,0.00014307884,0.0001773439,0.00009619802],"domain_scores_gemma":[0.92802876,0.033367474,0.029693997,0.00419303,0.0029766979,0.0017400088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018875613,0.00028505528,0.00048438183,0.000898666,0.0003580425,0.002535527,0.00078387005,0.0013110234,0.0071883514],"category_scores_gemma":[0.045295697,0.0003126525,0.00029093146,0.001838639,0.0006363625,0.0022399726,0.00092163513,0.00184025,0.0014694765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015486354,0.00041806718,0.97806907,0.00004666486,0.00022317786,0.00024303482,0.0005649548,0.0012036265,0.0005378681,0.00085563835,0.0013822874,0.014907128],"study_design_scores_gemma":[0.000040751314,0.00011786747,0.9967098,0.000007472257,0.000059299087,0.00008814187,0.00023958256,0.0010887531,0.00020699053,0.0007259181,0.0007042452,0.000011212866],"about_ca_topic_score_codex":0.0069215605,"about_ca_topic_score_gemma":0.0041010254,"teacher_disagreement_score":0.0071883514,"about_ca_system_score_codex":0.0002615417,"about_ca_system_score_gemma":0.00020554535,"threshold_uncertainty_score":0.024047434},"labels":[],"label_agreement":null},{"id":"W1562527224","doi":"10.2139/ssrn.316573","title":"An Examination of Own Account Trading By Dual Traders in Futures Markets","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Futures contract; Financial economics; High-frequency trading; Dual (grammatical number); Business; Algorithmic trading; Open outcry; Pairs trade; Economics; Monetary economics; Alternative trading system","score_opus":0.01674441866164784,"score_gpt":0.20170701173432434,"score_spread":0.1849625930726765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562527224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98895246,0.00029030186,0.0014108088,0.00037428958,0.000010961971,0.0000068111963,0.000036618672,0.000010294873,0.0089075295],"genre_scores_gemma":[0.9983955,0.0001403776,0.00035863905,0.000015982325,0.00001495085,0.0000020855846,0.00002850837,0.0000038879666,0.0010399484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997385,0.00009719903,0.00001809166,0.000037072572,0.00005636651,0.000052693464],"domain_scores_gemma":[0.995503,0.0031210203,0.00056735915,0.00025599357,0.00024793108,0.0003046997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011328657,0.00016718869,0.00046722763,0.0006307524,0.0008042844,0.0029535592,0.0006100182,0.001193523,0.005566495],"category_scores_gemma":[0.009580913,0.0002803847,0.00046653356,0.0007695048,0.00088493933,0.004318713,0.0009844351,0.0011308823,0.00021339522],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039894404,0.0010635651,0.42120942,0.00023247485,0.00029604806,0.0042480454,0.004986173,0.04293016,0.013224987,0.43446404,0.0032889007,0.07006683],"study_design_scores_gemma":[0.0002852981,0.00066479295,0.26266086,0.00009342017,0.00023521892,0.0017343386,0.0079783145,0.46142772,0.0037004848,0.25230268,0.0087883,0.00012864423],"about_ca_topic_score_codex":0.0029395795,"about_ca_topic_score_gemma":0.0034021435,"teacher_disagreement_score":0.005566495,"about_ca_system_score_codex":0.000532651,"about_ca_system_score_gemma":0.00043005194,"threshold_uncertainty_score":0.018621802},"labels":[],"label_agreement":null},{"id":"W1563389666","doi":"10.1016/j.frl.2015.06.001","title":"The benefits of combining seasonal anomalies and technical trading rules","year":2015,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Predictability; Transaction cost; Technical analysis; Trading strategy; Pairs trade; Alternative trading system; Investment (military); Algorithmic trading; Financial economics; Business; Economics; High-frequency trading; Econometrics; Finance; Mathematics; Statistics","score_opus":0.11055900690085146,"score_gpt":0.28814236168618457,"score_spread":0.1775833547853331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563389666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29268783,0.0031573845,0.6721457,0.0048954925,0.00095095433,0.00007851451,0.0009252555,0.0014717197,0.023687085],"genre_scores_gemma":[0.88126534,0.0018875318,0.11043402,0.00043255114,0.0015607241,0.000036634297,0.00084247964,0.00026938747,0.003271393],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997672,0.0011007582,0.00018140013,0.00044631347,0.00048749978,0.00011205568],"domain_scores_gemma":[0.9713397,0.017190507,0.0023393752,0.0067474344,0.0016972836,0.00068568514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005715557,0.0015506188,0.001653144,0.0021415644,0.000526778,0.0045130244,0.0011330805,0.0020863803,0.0029377607],"category_scores_gemma":[0.03428927,0.0009820272,0.001965561,0.0027505753,0.000937722,0.009187038,0.00286404,0.0026794279,0.001066099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014345048,0.00072157226,0.08698319,0.00032549008,0.0025170087,0.00088434096,0.00046116105,0.3380735,0.0118467705,0.101930015,0.007193503,0.44762897],"study_design_scores_gemma":[0.00010077771,0.00021915963,0.016947776,0.00005106328,0.00046501437,0.00041583777,0.00015813275,0.73785716,0.001691925,0.23791757,0.0040454064,0.0001302413],"about_ca_topic_score_codex":0.0014176246,"about_ca_topic_score_gemma":0.0021743297,"teacher_disagreement_score":0.005715557,"about_ca_system_score_codex":0.00027522715,"about_ca_system_score_gemma":0.0008126233,"threshold_uncertainty_score":0.030227125},"labels":[],"label_agreement":null},{"id":"W1564378488","doi":"10.2139/ssrn.2610814","title":"Unifying Portfolio Diversification Measures Using Rao's Quadratic Entropy","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"","keywords":"Diversification (marketing strategy); Mathematics; Entropy (arrow of time); Portfolio; Econometrics; Portfolio optimization; Quadratic equation; Economics; Financial economics; Mathematical economics; Actuarial science; Business; Physics; Marketing","score_opus":0.06830491610065909,"score_gpt":0.2405311764098304,"score_spread":0.17222626030917132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564378488","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.105871156,0.0010638593,0.88874847,0.00019868278,0.000049996528,0.000052313422,0.00008391436,0.00013615606,0.0037954533],"genre_scores_gemma":[0.9054308,0.0007688699,0.09083845,0.000076821285,0.00021015304,0.000068455076,0.00018678534,0.000076076394,0.002343574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986864,0.00060370355,0.00011720784,0.00016445981,0.000311271,0.000116896284],"domain_scores_gemma":[0.99284935,0.0047040605,0.0007854289,0.0008043045,0.0006024292,0.00025446792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005663213,0.0008338256,0.0012109298,0.0031997368,0.00039765562,0.002106408,0.00071615697,0.0008121348,0.0012025016],"category_scores_gemma":[0.0125917895,0.0003689479,0.0010123164,0.0017464992,0.0010304919,0.0049598394,0.0020711047,0.0011835492,0.00020270265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022587164,0.00012555727,0.012273176,0.00018809646,0.0002994514,0.00016243437,0.0002862921,0.20234397,0.0065039033,0.5893699,0.0012845752,0.18693672],"study_design_scores_gemma":[0.000016093943,0.0001701907,0.0047737635,0.000029822648,0.00005731966,0.00008699723,0.00004342879,0.8021092,0.0013623382,0.19027081,0.0010416829,0.00003823728],"about_ca_topic_score_codex":0.00055309775,"about_ca_topic_score_gemma":0.0005191962,"teacher_disagreement_score":0.005663213,"about_ca_system_score_codex":0.0006411328,"about_ca_system_score_gemma":0.00054565514,"threshold_uncertainty_score":0.02995032},"labels":[],"label_agreement":null},{"id":"W1564976809","doi":"10.1111/j.1467-9957.2005.00459.x","title":"A GENERALIZED EARNINGS‐BASED STOCK VALUATION MODEL","year":2004,"lang":"en","type":"article","venue":"Manchester School","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Econometrics; Economics; Earnings; Valuation (finance); Stock (firearms); Valuation of options; Mean reversion; Financial economics; Stock market; Finance","score_opus":0.06517696332305473,"score_gpt":0.2387695774899066,"score_spread":0.17359261416685187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564976809","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36533338,0.0023099629,0.59749156,0.0039079282,0.00021622017,0.000120815435,0.0021277454,0.00049620424,0.027996259],"genre_scores_gemma":[0.97000176,0.0006673316,0.013249015,0.00012650288,0.00010553546,0.000058909533,0.00044472018,0.000024294342,0.015321917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997836,0.000087612025,0.000011636882,0.000051565396,0.0000307385,0.000034801564],"domain_scores_gemma":[0.99949765,0.00025515104,0.00008314527,0.000035326022,0.00007754013,0.000051177438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073393155,0.0005456702,0.0009007153,0.0004667858,0.00021362462,0.001638318,0.0017833028,0.0015332856,0.0037161575],"category_scores_gemma":[0.0023747864,0.0004355988,0.00050920795,0.0008432355,0.0005423261,0.0015732005,0.0006730654,0.0008284967,0.0004914475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007729554,0.000025351255,0.0011897202,0.000038166763,0.00005856504,0.00024529194,0.000051154853,0.91630167,0.00043474787,0.06973205,0.0015327793,0.010313245],"study_design_scores_gemma":[0.000023297496,0.000010337895,0.00036495028,0.000004557891,0.00001197112,0.000023788012,0.000004532987,0.9854059,0.000029252667,0.013750422,0.00036350184,0.0000074449],"about_ca_topic_score_codex":0.0074155997,"about_ca_topic_score_gemma":0.0050246743,"teacher_disagreement_score":0.0074155997,"about_ca_system_score_codex":0.0007358761,"about_ca_system_score_gemma":0.0006891717,"threshold_uncertainty_score":0.014744878},"labels":[],"label_agreement":null},{"id":"W1565964060","doi":"10.1016/s0261-5606(01)00014-6","title":"Extreme observations and diversification in Latin American emerging equity markets","year":2001,"lang":"en","type":"article","venue":"Journal of International Money and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Egg Farmers of Canada; University of Oregon","keywords":"Latin Americans; Diversification (marketing strategy); Emerging markets; Economics; Equity (law); Portfolio; Stock (firearms); Financial economics; Asset allocation; Distribution (mathematics); Econometrics; Business; Finance; Geography; Mathematics; Political science","score_opus":0.08047576537064904,"score_gpt":0.25895768481917614,"score_spread":0.1784819194485271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565964060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959708,0.00037867026,0.0013183393,0.00074153114,0.000007848309,0.0000027139956,0.00006516155,0.0000070151805,0.001507894],"genre_scores_gemma":[0.99957615,0.00012298136,0.00005823423,0.000025921896,0.000013199556,8.389856e-7,0.000041946863,0.0000013061929,0.00015934685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999826,0.00006831484,0.0000117740365,0.000034543897,0.000024804887,0.000034547582],"domain_scores_gemma":[0.99425924,0.0028612425,0.0017746242,0.00036910022,0.00039318495,0.00034262703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017392634,0.0001375191,0.00027650356,0.00064037833,0.00037529995,0.0014099046,0.000346112,0.00068537146,0.0016713667],"category_scores_gemma":[0.011474123,0.0001228339,0.0001962676,0.00064420083,0.0009271663,0.0010745913,0.0009386386,0.00094795536,0.00010027663],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062046805,0.00013183897,0.918883,0.000040434297,0.00018751109,0.0011352646,0.0015251081,0.014863796,0.0012916105,0.035463747,0.0022465321,0.023610733],"study_design_scores_gemma":[0.000071350514,0.00007827403,0.8604728,0.000054218475,0.00009416526,0.00037595766,0.0024924416,0.047901448,0.0005885172,0.08528691,0.0025482043,0.000035772202],"about_ca_topic_score_codex":0.004513112,"about_ca_topic_score_gemma":0.0057046306,"teacher_disagreement_score":0.004513112,"about_ca_system_score_codex":0.00048335327,"about_ca_system_score_gemma":0.00019958368,"threshold_uncertainty_score":0.009198189},"labels":[],"label_agreement":null},{"id":"W1566253385","doi":"10.2139/ssrn.1100038","title":"Retail Investor Sentiment and the Stock Market","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Business; Stock market; Financial economics; Financial system; Monetary economics; Economics; Geography","score_opus":0.02072395687930658,"score_gpt":0.19142211699526218,"score_spread":0.1706981601159556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566253385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98509973,0.000910309,0.00041265372,0.00081490906,0.000041370797,0.0000075169214,0.0002693391,0.000020658164,0.012423419],"genre_scores_gemma":[0.99802506,0.0002613742,0.0000483709,0.000062413,0.00007062843,0.000001242383,0.00012578769,0.0000055520877,0.0013994577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999094,0.00002343116,0.00000973765,0.000015684633,0.000022362497,0.000019340325],"domain_scores_gemma":[0.9963231,0.0016894424,0.0012113771,0.00013060123,0.00031940002,0.0003261295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005160221,0.00013692337,0.0002936888,0.00054820435,0.00020978367,0.0020117394,0.00015802885,0.0006308273,0.007686204],"category_scores_gemma":[0.0062006367,0.00011780029,0.00017020138,0.0007555899,0.00033659593,0.0012197613,0.00029561674,0.0005560213,0.00083895854],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010788729,0.0003697392,0.93057597,0.00010050348,0.00018116731,0.00090393634,0.0004666508,0.0024599202,0.0025029227,0.018010544,0.0067835194,0.036566176],"study_design_scores_gemma":[0.000058553873,0.00020197069,0.96440667,0.00004542822,0.00014489764,0.00039336504,0.0007121261,0.013432809,0.00057926367,0.016669713,0.0033266693,0.000028537477],"about_ca_topic_score_codex":0.0023172242,"about_ca_topic_score_gemma":0.0040753386,"teacher_disagreement_score":0.007686204,"about_ca_system_score_codex":0.000405807,"about_ca_system_score_gemma":0.00015163446,"threshold_uncertainty_score":0.025712907},"labels":[],"label_agreement":null},{"id":"W1566312175","doi":"10.2139/ssrn.2278686","title":"Correcting for the Backfill Bias in Hedge Fund Databases, Appendix To: Do Hot Hands Exist Among Hedge Fund Managers? An Empirical Evaluation","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Hedge fund; Fund administration; Business; Actuarial science; Target date fund; Database; Finance; Open-end fund; Accounting; Economics; Investment fund; Computer science; Corporate governance; Institutional investor","score_opus":0.1588930036916687,"score_gpt":0.3319094752169434,"score_spread":0.17301647152527472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566312175","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09963702,0.0014824704,0.06256983,0.012671061,0.0020611275,0.007115736,0.77160716,0.0054559465,0.037399717],"genre_scores_gemma":[0.36170247,0.0013019275,0.20848055,0.0035218687,0.0012398354,0.009491089,0.35384804,0.0018765302,0.058537666],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9854043,0.004714482,0.004085218,0.0013133897,0.0040465146,0.00043606173],"domain_scores_gemma":[0.64646214,0.23969294,0.0263536,0.019624332,0.065793775,0.002073145],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.013793671,0.00047601355,0.0005427662,0.0041072466,0.00075727527,0.001798684,0.0016714082,0.0013739713,0.15012895],"category_scores_gemma":[0.2585921,0.000583152,0.0010087375,0.007086809,0.00038498914,0.0015812803,0.0011245254,0.00059271476,0.02615222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005506295,0.0003446974,0.08696648,0.0012201405,0.00019535898,0.00017255386,0.00036330786,0.0020124754,0.00071115955,0.0031392493,0.7701722,0.13415176],"study_design_scores_gemma":[0.0017452561,0.0010106814,0.4878126,0.0018840489,0.00071672315,0.0012266857,0.00227903,0.018337687,0.013681823,0.012791095,0.45824617,0.00026827666],"about_ca_topic_score_codex":0.01868279,"about_ca_topic_score_gemma":0.02052115,"teacher_disagreement_score":0.98620635,"about_ca_system_score_codex":0.0013075492,"about_ca_system_score_gemma":0.00641945,"threshold_uncertainty_score":0.50223136},"labels":[],"label_agreement":null},{"id":"W1566359812","doi":"10.1108/15265940810853904","title":"Reputation entrenchment or risk minimization?","year":2008,"lang":"en","type":"article","venue":"The Journal of Risk Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Agency (philosophy); Asset allocation; Principal–agent problem; Reputation; Economics; Portfolio; Investment strategy; Microeconomics; Investment management; Business; Risk management; Asset (computer security); Originality; Principal (computer security); Actuarial science; Variance (accounting); Finance; Incentive; Computer science; Corporate governance; Accounting","score_opus":0.026344371707031956,"score_gpt":0.2145474210187161,"score_spread":0.18820304931168413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566359812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47962004,0.01240725,0.18251316,0.031598292,0.00049096503,0.00022034897,0.00018978438,0.00025705292,0.29270312],"genre_scores_gemma":[0.99225825,0.0006371428,0.0034510395,0.00020732744,0.00009221646,0.000022412534,0.00000931523,0.0000099430745,0.0033122508],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9971897,0.0013921136,0.00011764923,0.0005065177,0.0004129603,0.0003809793],"domain_scores_gemma":[0.98073626,0.0073714615,0.0077444445,0.001808691,0.0012011514,0.001138027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044811103,0.00044067035,0.000922671,0.00056371564,0.0010321592,0.0040441845,0.0010019056,0.0019877232,0.007726353],"category_scores_gemma":[0.021932077,0.00026046368,0.0005397227,0.0006634004,0.0038281495,0.005270118,0.0016259421,0.0018112935,0.0006607226],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026624202,0.00024093347,0.008065978,0.00050149707,0.00016583025,0.00028514554,0.0009948942,0.01418976,0.0013929086,0.87448275,0.0041068555,0.09530724],"study_design_scores_gemma":[0.00011630982,0.00040574014,0.01230501,0.0003141599,0.00015644942,0.0006097343,0.0014338874,0.052872915,0.0015379083,0.9113901,0.018759213,0.000098504526],"about_ca_topic_score_codex":0.0009779903,"about_ca_topic_score_gemma":0.00080618693,"teacher_disagreement_score":0.007726353,"about_ca_system_score_codex":0.0018222772,"about_ca_system_score_gemma":0.001686766,"threshold_uncertainty_score":0.025847197},"labels":[],"label_agreement":null},{"id":"W1568911823","doi":"10.2139/ssrn.193828","title":"An Analysis of Own Account Trading by Dual Traders in Futures Markets: A Bayesian Approach","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Futures contract; Dual (grammatical number); Commission; Algorithmic trading; Markov chain Monte Carlo; Market liquidity; Financial economics; Business; Database transaction; Alternative trading system; High-frequency trading; Transaction data; Electronic trading; Open outcry; Economics; Bayesian probability; Finance; Computer science; Database","score_opus":0.0095092443728019,"score_gpt":0.2044381522170235,"score_spread":0.1949289078442216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568911823","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42390516,0.0023967344,0.5576158,0.0035016928,0.0001305391,0.00011046942,0.00033266743,0.0002084412,0.011798473],"genre_scores_gemma":[0.95405763,0.0015740313,0.031980287,0.0001571997,0.00029349286,0.00008130439,0.00022037725,0.00011613973,0.011519566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9981881,0.0009137276,0.000075403674,0.00026974344,0.00027970105,0.0002732135],"domain_scores_gemma":[0.97932,0.017195214,0.0013671683,0.00054278417,0.0008539397,0.00072085497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0078021046,0.0014310852,0.0036474892,0.0019400286,0.0011770026,0.004261313,0.003238933,0.003942273,0.0049130274],"category_scores_gemma":[0.030631054,0.002731945,0.0025026954,0.0015718656,0.0029338233,0.009107433,0.002558637,0.0034715894,0.00040192026],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039468936,0.00021396215,0.003966118,0.0001265221,0.00023668911,0.00047308826,0.00024865402,0.69156,0.0013500983,0.28668937,0.0017837724,0.012957112],"study_design_scores_gemma":[0.000028709175,0.0000208449,0.0004295175,0.000007746441,0.000028347007,0.000036133388,0.000019399553,0.9604507,0.00008939364,0.038691636,0.00017290023,0.000024640265],"about_ca_topic_score_codex":0.01013918,"about_ca_topic_score_gemma":0.007100861,"teacher_disagreement_score":0.01013918,"about_ca_system_score_codex":0.0015765325,"about_ca_system_score_gemma":0.0018233714,"threshold_uncertainty_score":0.04126191},"labels":[],"label_agreement":null},{"id":"W1569114415","doi":"10.2139/ssrn.1262612","title":"Optimal Long Term Investment in a Jump Diffusion Setting: A Large Deviation Approach","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Jump diffusion; Term (time); Diffusion; Jump; Investment (military); Econometrics; Economics; Mathematics; Statistical physics; Thermodynamics; Physics","score_opus":0.010152737797753383,"score_gpt":0.20041598282507844,"score_spread":0.19026324502732506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569114415","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08646632,0.0029229368,0.8842287,0.008154973,0.00034366694,0.0000902656,0.00027105326,0.00032413754,0.017197918],"genre_scores_gemma":[0.89144313,0.002798138,0.05957429,0.0010063819,0.0007264884,0.00026027678,0.00037470978,0.00036823543,0.043448437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981306,0.0010053169,0.00008441024,0.00034391816,0.00023880485,0.00019696789],"domain_scores_gemma":[0.98096263,0.015319728,0.00118203,0.0004893799,0.000997102,0.0010490993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064519127,0.002091165,0.00449364,0.001773043,0.0008296438,0.004515028,0.0035242776,0.006229765,0.006050099],"category_scores_gemma":[0.027036684,0.0021393765,0.0016785341,0.001660585,0.004741247,0.0062692217,0.003040275,0.0050693383,0.0005136453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017591222,0.00016849913,0.0009147882,0.0002095542,0.00024325654,0.0004076565,0.00012588712,0.6519794,0.0009932603,0.33592376,0.0031191139,0.0057389773],"study_design_scores_gemma":[0.000032850556,0.000019475976,0.00013155532,0.000013869744,0.000027473543,0.000019409352,0.000023692191,0.92118156,0.000083271814,0.07825107,0.00019575235,0.00002010803],"about_ca_topic_score_codex":0.005592982,"about_ca_topic_score_gemma":0.004606884,"teacher_disagreement_score":0.0064519127,"about_ca_system_score_codex":0.0025420298,"about_ca_system_score_gemma":0.0027186652,"threshold_uncertainty_score":0.034121394},"labels":[],"label_agreement":null},{"id":"W1569485324","doi":"10.34989/swp-2004-16","title":"The Effects of Economic News on Bond Market Liquidity","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Bank of Canada","funders":"","keywords":"Market liquidity; Bond market; Financial system; Bond; Business; Monetary economics; Economics; Finance","score_opus":0.02998055020777286,"score_gpt":0.27566628817228306,"score_spread":0.2456857379645102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569485324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911601,0.00074618653,0.00026590715,0.00065751333,0.000033348144,0.0000103614975,0.0002661111,0.000015028462,0.00684548],"genre_scores_gemma":[0.9985561,0.0003243706,0.00007462451,0.00006397251,0.000035483186,0.0000027330452,0.00012880564,0.000006085191,0.00080794987],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973196,0.00005273459,0.000019327526,0.000035754598,0.00008613715,0.00007403461],"domain_scores_gemma":[0.98946965,0.0070842174,0.0017697999,0.00030729207,0.000755985,0.0006130607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077888835,0.0002561417,0.00028235666,0.0007561806,0.00041640518,0.002295661,0.0002854695,0.00074394,0.0033265154],"category_scores_gemma":[0.014577961,0.00014752387,0.00031228337,0.0007217705,0.0004320691,0.0009689817,0.00060280866,0.0009021909,0.0003390483],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01418654,0.0018731277,0.78083116,0.00036459058,0.0008445128,0.0015037025,0.00256105,0.020653335,0.03294729,0.016001906,0.0067457273,0.12148704],"study_design_scores_gemma":[0.00026200444,0.0007669758,0.96286666,0.00003927562,0.0003841133,0.00013278956,0.0012377287,0.016507939,0.008015628,0.0064634,0.0032437514,0.00007971596],"about_ca_topic_score_codex":0.021642895,"about_ca_topic_score_gemma":0.016961481,"teacher_disagreement_score":0.021642895,"about_ca_system_score_codex":0.0011680039,"about_ca_system_score_gemma":0.00041684383,"threshold_uncertainty_score":0.04303384},"labels":[],"label_agreement":null},{"id":"W1569684757","doi":"10.2139/ssrn.1913992","title":"Tick Size, Microstructure Noise and Volatility Inversion Effects on Price Discovery in Option Markets: Theory and Empirical Evidence","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université du Québec à Montréal; McGill University","funders":"","keywords":"Price discovery; Inversion (geology); Tick size; Volatility (finance); Econometrics; Market microstructure; Economics; Financial economics; Stock (firearms); Exotic option; Valuation of options; Market liquidity; Monetary economics; Finance","score_opus":0.02138808439287524,"score_gpt":0.22302817269350458,"score_spread":0.20164008830062935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569684757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945918,0.00062706694,0.002685222,0.00023876241,0.000012248832,0.00000975086,0.000047723574,0.000033584834,0.0017539328],"genre_scores_gemma":[0.9986431,0.00028505584,0.00055901596,0.000041602045,0.000047195183,0.0000045358147,0.000059697126,0.000016445745,0.00034343495],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886346,0.0003736716,0.00011169457,0.00019640604,0.00030617113,0.00014866875],"domain_scores_gemma":[0.84047806,0.13807262,0.011914574,0.005794778,0.0016824129,0.0020576457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005814742,0.0003843892,0.0008356917,0.0012335007,0.00046822382,0.0028887251,0.000915332,0.0018712459,0.0057898094],"category_scores_gemma":[0.074035175,0.0007326119,0.0005885959,0.0010035435,0.0018557204,0.003826635,0.001037211,0.0020720067,0.00047814182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010392342,0.0031042595,0.7384083,0.00048257646,0.0011995994,0.0012263583,0.0013978463,0.037811797,0.024082147,0.049113087,0.0014123659,0.13136935],"study_design_scores_gemma":[0.0007053924,0.00081587577,0.7400608,0.00004840775,0.0009108611,0.0008178755,0.0004004387,0.11217442,0.0043450985,0.1388598,0.0006756807,0.00018530503],"about_ca_topic_score_codex":0.0015991543,"about_ca_topic_score_gemma":0.0011351785,"teacher_disagreement_score":0.005814742,"about_ca_system_score_codex":0.00037828035,"about_ca_system_score_gemma":0.00052029407,"threshold_uncertainty_score":0.030751705},"labels":[],"label_agreement":null},{"id":"W1570064533","doi":"10.2139/ssrn.244576","title":"Estimating and Testing Fundamental Stock Prices: Evidence from Simulated Economies","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of British Columbia","funders":"","keywords":"Economics; Stock (firearms); Econometrics; Monetary economics; Geography","score_opus":0.03768424853679402,"score_gpt":0.23331080726261733,"score_spread":0.1956265587258233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570064533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933155,0.00017776065,0.0052608307,0.00019547278,0.000009349768,0.000018210816,0.0001709118,0.000056766537,0.0007952622],"genre_scores_gemma":[0.99654716,0.000117672585,0.0027202487,0.000022208756,0.0000068528025,0.000012480649,0.00042561506,0.000009676801,0.0001380483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99674547,0.002274038,0.00025011308,0.0002939168,0.0003054284,0.00013107444],"domain_scores_gemma":[0.6956644,0.28340304,0.006977546,0.009363334,0.0036098985,0.0009817538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013473865,0.00092132605,0.000933156,0.0011409601,0.00048452616,0.0017174059,0.0019429077,0.002267762,0.0020096276],"category_scores_gemma":[0.11809851,0.0007359399,0.00089580985,0.0009679644,0.0018113116,0.0035943263,0.0012070955,0.0019353338,0.00026444072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026374296,0.001306786,0.09256281,0.00026363472,0.00072073,0.00027497223,0.00053512544,0.8609454,0.00072106207,0.015864974,0.0014648042,0.022702271],"study_design_scores_gemma":[0.0007667539,0.0005509066,0.014614767,0.000036886693,0.00014212172,0.00011322345,0.00018820673,0.9627634,0.0017496158,0.018556075,0.00047516346,0.000042740372],"about_ca_topic_score_codex":0.009179522,"about_ca_topic_score_gemma":0.005072227,"teacher_disagreement_score":0.013473865,"about_ca_system_score_codex":0.0009921975,"about_ca_system_score_gemma":0.0009948759,"threshold_uncertainty_score":0.07125747},"labels":[],"label_agreement":null},{"id":"W1573140458","doi":"","title":"Predictive regressions based on managerial decision variables: Is therea small-sample bias?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Predictive power; Insider trading; Equity (law); Insider; Dividend; Econometrics; Economics; Market timing; Financial economics; Bond; Corporate bond; Stock market; Debt; Stock (firearms); Business; Finance; Portfolio","score_opus":0.04609949011051671,"score_gpt":0.2156940034389188,"score_spread":0.1695945133284021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1573140458","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35845307,0.009804903,0.60096633,0.011141416,0.0022689737,0.0015779928,0.002425989,0.002629923,0.01073149],"genre_scores_gemma":[0.96120334,0.0007575951,0.02974604,0.0032601187,0.0007838759,0.000437284,0.0011092265,0.00019028573,0.0025122499],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9378468,0.04357916,0.003931916,0.008611665,0.0047526937,0.0012777314],"domain_scores_gemma":[0.4752531,0.44020957,0.028594844,0.047564175,0.007215067,0.0011632484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.12660126,0.0011739184,0.002543209,0.0016528559,0.0012147288,0.0022861646,0.0033553264,0.0015779239,0.0044194334],"category_scores_gemma":[0.39869642,0.0007270717,0.0017066575,0.0025594814,0.0032980854,0.0037132495,0.0018117694,0.0026155605,0.0015070947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022996566,0.00087025546,0.69438994,0.00096088566,0.0097155,0.0018289457,0.0019041012,0.023989685,0.0017149826,0.03897232,0.022983609,0.2003701],"study_design_scores_gemma":[0.0011711192,0.0015244506,0.31459627,0.00071503856,0.00553897,0.002495299,0.0016256574,0.31844953,0.012568287,0.30277178,0.03820105,0.0003425248],"about_ca_topic_score_codex":0.0050557004,"about_ca_topic_score_gemma":0.0056776935,"teacher_disagreement_score":0.12660126,"about_ca_system_score_codex":0.0008011295,"about_ca_system_score_gemma":0.0009003699,"threshold_uncertainty_score":0.66953945},"labels":[],"label_agreement":null},{"id":"W1573924734","doi":"10.2139/ssrn.1094246","title":"Performance Persistence Among Canadian Institutional Money Managers","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Persistence (discontinuity); Business; Monetary economics; Economics","score_opus":0.014395167689829009,"score_gpt":0.17512528607106062,"score_spread":0.1607301183812316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1573924734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99565387,0.000306773,0.000028271565,0.000603108,0.00001432688,0.000014485894,0.000574565,0.000007492212,0.0027970758],"genre_scores_gemma":[0.9984762,0.00008809217,0.000016911277,0.000058206388,0.000009255893,0.000004998616,0.00024036929,0.0000032320122,0.0011027122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968548,0.00021818452,0.00014925108,0.00033501573,0.0010062183,0.0014365943],"domain_scores_gemma":[0.97686464,0.0017972994,0.0051125204,0.00072832155,0.00988665,0.005610603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002877464,0.00036936527,0.00046310126,0.0025555512,0.0035512368,0.003226455,0.00198352,0.0013915509,0.0048102206],"category_scores_gemma":[0.01865972,0.0002643021,0.00042956191,0.004272809,0.0013703814,0.0010609425,0.0012684345,0.0013201388,0.00090898026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004023597,0.00015927646,0.97669834,0.000020279569,0.000048449674,0.000077392084,0.005534456,0.0002374143,0.00023998662,0.00037170172,0.002799769,0.013410628],"study_design_scores_gemma":[0.000005271322,0.00003746587,0.99664056,0.00001093125,0.000007974091,0.00001343991,0.0020430998,0.00016699168,0.00003538507,0.000044920173,0.0009740608,0.000019788442],"about_ca_topic_score_codex":0.95958835,"about_ca_topic_score_gemma":0.9729917,"teacher_disagreement_score":0.04041165,"about_ca_system_score_codex":0.034445055,"about_ca_system_score_gemma":0.023658792,"threshold_uncertainty_score":0.2499175},"labels":[],"label_agreement":null},{"id":"W1575079723","doi":"10.2139/ssrn.315661","title":"Quarterly Trading Patterns of Financial Institutions","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Business; Financial system; Finance","score_opus":0.031130165444132645,"score_gpt":0.21101531967802725,"score_spread":0.17988515423389462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575079723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941637,0.00043167404,0.00028593227,0.00017451108,0.000009048659,0.000004676144,0.0016275912,0.000021614516,0.0032812373],"genre_scores_gemma":[0.99774206,0.0001278986,0.00011989917,0.00001154208,0.000012557592,0.000002925964,0.0009374513,0.000004644001,0.0010409175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998204,0.00003884905,0.000025582132,0.000039151393,0.000046439276,0.000029496538],"domain_scores_gemma":[0.9957059,0.0016806037,0.0012531786,0.0003026789,0.0006407099,0.0004169562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042822884,0.00008606719,0.00019366025,0.0018329403,0.00020658669,0.00089346693,0.00022404245,0.00034010544,0.0050813965],"category_scores_gemma":[0.007496675,0.0001159776,0.00016637714,0.001723589,0.00018563187,0.00074525014,0.0003455728,0.0003050754,0.0012960446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042192265,0.00012914866,0.954483,0.000046894333,0.00012623324,0.0001107213,0.0004911357,0.0011628374,0.0020713534,0.003085363,0.0036286952,0.034242768],"study_design_scores_gemma":[0.000015165336,0.00005734511,0.99284303,0.000012016303,0.000025890913,0.00018648605,0.00020331111,0.0023356741,0.00033117016,0.0013111782,0.0026707444,0.000008003483],"about_ca_topic_score_codex":0.0021706035,"about_ca_topic_score_gemma":0.003185745,"teacher_disagreement_score":0.0050813965,"about_ca_system_score_codex":0.0003264112,"about_ca_system_score_gemma":0.00012966062,"threshold_uncertainty_score":0.016998947},"labels":[],"label_agreement":null},{"id":"W1575091372","doi":"","title":"L'assurance de portefeuille: Simulations en Visual Basic de portefeuilles visant à reproduire les flux monétaires de stratégies d'options","year":2005,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais","funders":"","keywords":"Portfolio; Cash flow; Replicate; Economics; Computer science; Actuarial science; Financial economics; Finance; Mathematics","score_opus":0.03565068420273645,"score_gpt":0.30600797841144384,"score_spread":0.2703572942087074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575091372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88394386,0.0005705578,0.0851536,0.00093304616,0.00019290761,0.00012677374,0.0016480094,0.0017666268,0.02566457],"genre_scores_gemma":[0.9705362,0.00021433673,0.024885833,0.00012549036,0.000016404558,0.000116006726,0.0007339679,0.0001857564,0.0031860683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996159,0.00014568477,0.000016930613,0.00004626081,0.00009911965,0.00007601245],"domain_scores_gemma":[0.9951578,0.0039360537,0.00016134711,0.00020576535,0.0002845881,0.00025445485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013755314,0.00077081524,0.00066520576,0.0006995148,0.00051671854,0.0014103907,0.0013142138,0.002097052,0.0065448247],"category_scores_gemma":[0.0062490893,0.00036585898,0.0008127929,0.00064091105,0.0008787003,0.0010537525,0.0009165351,0.0016354222,0.00031150848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000300304,0.00015379096,0.0027146274,0.000057731268,0.000038704085,0.00015569985,0.00019467382,0.98322475,0.00109703,0.005965114,0.0010745621,0.005023058],"study_design_scores_gemma":[0.00006598464,0.000050458704,0.0005777164,0.00001128595,0.0000069669177,0.000018602894,0.000033640834,0.99473876,0.0007219351,0.0025658547,0.0011996537,0.000009180962],"about_ca_topic_score_codex":0.023544872,"about_ca_topic_score_gemma":0.013558609,"teacher_disagreement_score":0.023544872,"about_ca_system_score_codex":0.0011816521,"about_ca_system_score_gemma":0.0007795871,"threshold_uncertainty_score":0.046815634},"labels":[],"label_agreement":null},{"id":"W1575198717","doi":"10.2139/ssrn.2482325","title":"A Note on the Estimation of Asset Pricing Models Using Simple Regression Betas","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital asset pricing model; Econometrics; Estimation; Simple (philosophy); Economics; Simple linear regression; Regression; Consumption-based capital asset pricing model; Regression analysis; Financial economics; Mathematics; Statistics","score_opus":0.03659925079506276,"score_gpt":0.2579085948816799,"score_spread":0.22130934408661712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575198717","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031969948,0.0043809065,0.97372615,0.00930699,0.0038345242,0.000059258902,0.00045092741,0.0014193818,0.0036247896],"genre_scores_gemma":[0.07144296,0.0119572235,0.8739904,0.005715033,0.01438497,0.00021814725,0.0008039123,0.0012893558,0.020197991],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.993457,0.0043361033,0.0004526645,0.00048794938,0.0011702963,0.000096031814],"domain_scores_gemma":[0.93450737,0.049204875,0.0013681318,0.0106593575,0.0038558333,0.00040450503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012625644,0.0018523954,0.0020194242,0.0011521758,0.00067307183,0.00220195,0.0030283388,0.002679517,0.008137692],"category_scores_gemma":[0.079570256,0.0010633375,0.0021370018,0.0017100379,0.0016901924,0.0045006527,0.0022923355,0.0074959085,0.0068737604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005070473,0.0003214593,0.0067531555,0.0013824309,0.0010197266,0.0018322252,0.0004965402,0.088644624,0.011917274,0.22703792,0.14791514,0.51217246],"study_design_scores_gemma":[0.00022202617,0.00032123268,0.010884527,0.00070205773,0.00039830073,0.0014366306,0.00013497433,0.412713,0.009282006,0.40161645,0.16169722,0.0005915345],"about_ca_topic_score_codex":0.008190497,"about_ca_topic_score_gemma":0.008392076,"teacher_disagreement_score":0.012625644,"about_ca_system_score_codex":0.00053885084,"about_ca_system_score_gemma":0.0010404929,"threshold_uncertainty_score":0.06677163},"labels":[],"label_agreement":null},{"id":"W1575807953","doi":"10.1016/j.jbankfin.2009.08.009","title":"The Level and Quality of Value-at-Risk Disclosure by Commercial Banks","year":2009,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Volatility (finance); Vector autoregression; Value at risk; Revenue; Index (typography); Econometrics; Economics; Quality (philosophy); Sample (material); Business; Actuarial science; Accounting; Risk management; Finance; Computer science","score_opus":0.04632779528925554,"score_gpt":0.2535996115729946,"score_spread":0.20727181628373906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575807953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972683,0.00028997796,0.00014255376,0.0005589645,0.000005897536,0.0000066791326,0.00009815588,0.000005821417,0.0016235851],"genre_scores_gemma":[0.99964595,0.000055712786,0.00003666761,0.00003219201,0.000007767987,9.560407e-7,0.000040198276,0.0000011376837,0.00017944955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99647397,0.0014834063,0.00059220556,0.00028543884,0.0006895619,0.00047547265],"domain_scores_gemma":[0.7492016,0.12560298,0.09903947,0.008655637,0.012478245,0.005022031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059214146,0.000108020926,0.0003174401,0.00082625967,0.0004576609,0.003176514,0.00048574535,0.0016165936,0.003792396],"category_scores_gemma":[0.08788886,0.0002582604,0.00024713742,0.0010259667,0.0007999422,0.0017966792,0.0007881656,0.0012662244,0.0006121965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095128827,0.00019602758,0.98384154,0.000028120025,0.00010532784,0.000079246354,0.0010548607,0.0007040219,0.0008711212,0.0013377352,0.0004134841,0.010417095],"study_design_scores_gemma":[0.000035867834,0.00024879837,0.99137664,0.000030875275,0.00005837775,0.00031082865,0.0012628122,0.0024086083,0.0009990867,0.0025683246,0.00067434425,0.000025452446],"about_ca_topic_score_codex":0.002677497,"about_ca_topic_score_gemma":0.0034256594,"teacher_disagreement_score":0.0059214146,"about_ca_system_score_codex":0.00078333315,"about_ca_system_score_gemma":0.0005967668,"threshold_uncertainty_score":0.031315804},"labels":[],"label_agreement":null},{"id":"W1576815973","doi":"","title":"Bid-Ask Spreads and Volume:The Role of Trade Timing","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stylized fact; Intuition; Casual; Economics; Bid price; Ask price; Quality (philosophy); Volume (thermodynamics); Trade volume; Monetary economics; Business; Econometrics; Finance; International economics; Psychology","score_opus":0.04371467060659365,"score_gpt":0.2641703411739657,"score_spread":0.22045567056737206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576815973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5578425,0.0033992587,0.40650955,0.0032515132,0.00016078007,0.00011152693,0.0006331134,0.00029034266,0.027801396],"genre_scores_gemma":[0.9885494,0.0007225014,0.0066298475,0.000099637655,0.00009917143,0.000049469214,0.00009330591,0.000032409866,0.0037242104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990971,0.00035433832,0.000050066807,0.00017319605,0.00017905912,0.0001463403],"domain_scores_gemma":[0.9848406,0.0099259345,0.0034507478,0.00089471193,0.00036822088,0.000519785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027608094,0.000876268,0.0011343154,0.0008514228,0.00041400836,0.0034785648,0.0017013346,0.0019287954,0.0055499147],"category_scores_gemma":[0.023308985,0.0006746192,0.00090099295,0.0011117671,0.0016764514,0.00524566,0.0012414485,0.0021263803,0.0007588501],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006609676,0.000200181,0.015397789,0.00014390281,0.00013560071,0.0006884767,0.00046188696,0.598788,0.005162948,0.3586369,0.0016314546,0.018091908],"study_design_scores_gemma":[0.00009555056,0.00017375355,0.005392214,0.000047331643,0.000080634556,0.00031594702,0.00008529801,0.7761143,0.0012504555,0.21505333,0.001309248,0.0000819321],"about_ca_topic_score_codex":0.0013862005,"about_ca_topic_score_gemma":0.00067559007,"teacher_disagreement_score":0.0055499147,"about_ca_system_score_codex":0.0008851772,"about_ca_system_score_gemma":0.0006967836,"threshold_uncertainty_score":0.01856631},"labels":[],"label_agreement":null},{"id":"W1577510367","doi":"10.2139/ssrn.283695","title":"Efficiency Tests of the French Index (CAC 40) Options Market","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Index (typography); Business; Economics; Actuarial science; Financial economics; Econometrics; Accounting; Computer science","score_opus":0.012639601428603783,"score_gpt":0.20742456591973407,"score_spread":0.19478496449113028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577510367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9687449,0.00052060414,0.019154206,0.0003008586,0.000029800973,0.000041069765,0.0002887166,0.00013694308,0.010782869],"genre_scores_gemma":[0.99667656,0.00006140321,0.0018291431,0.000021997359,0.000027421307,0.000011822349,0.000395387,0.000024562702,0.00095165445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99617994,0.001969009,0.00026845193,0.00035611767,0.0008027421,0.000423669],"domain_scores_gemma":[0.95591575,0.03511364,0.0028713811,0.003236053,0.0020242059,0.00083902525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012510624,0.000770211,0.0007377175,0.00276713,0.0006146734,0.0024962872,0.0011557367,0.001308063,0.0059561147],"category_scores_gemma":[0.05448152,0.00022194925,0.00080624956,0.0011288255,0.0013376711,0.0030053314,0.0011459166,0.00065982866,0.0005836497],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008994102,0.0012917916,0.16152143,0.00036193157,0.001052479,0.0010435679,0.0007125499,0.34163347,0.017280297,0.3248573,0.005577429,0.13567372],"study_design_scores_gemma":[0.0005109773,0.0013344224,0.09494195,0.000052910822,0.00027399114,0.0005716195,0.00044106317,0.80926055,0.015489756,0.07400918,0.0029929192,0.00012062107],"about_ca_topic_score_codex":0.004127832,"about_ca_topic_score_gemma":0.0015389418,"teacher_disagreement_score":0.012510624,"about_ca_system_score_codex":0.0012109736,"about_ca_system_score_gemma":0.0009938825,"threshold_uncertainty_score":0.0661633},"labels":[],"label_agreement":null},{"id":"W1577750729","doi":"10.2139/ssrn.500242","title":"How do Individual, Institutional, and Foreign Investors Win and Lose in Equity Trades? Evidence from Japan","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Equity (law); Institutional investor; Business; Financial economics; Monetary economics; Financial system; Economics; International economics; Finance; Political science; Corporate governance; Law","score_opus":0.043215019863655044,"score_gpt":0.23038858465191556,"score_spread":0.18717356478826053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577750729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863166,0.00011332197,0.00001605922,0.00008329019,0.0000018728572,0.0000012026017,0.000014373224,4.5109047e-7,0.001137757],"genre_scores_gemma":[0.9994721,0.0001067406,0.0000114367895,0.000033036275,0.000005870413,8.260956e-7,0.000029189383,6.8168913e-7,0.0003401187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995353,0.00008464035,0.00003164915,0.0000843061,0.000067293,0.00019673334],"domain_scores_gemma":[0.9951487,0.0011999909,0.0021055392,0.00024448652,0.00037340872,0.0009277268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013467984,0.00019228432,0.00043273278,0.00090219005,0.0013776198,0.0022170888,0.0004042342,0.0010985809,0.0029249194],"category_scores_gemma":[0.0034146835,0.00021524412,0.00031360687,0.00093556097,0.0017626935,0.0023904047,0.001134518,0.0008233171,0.00034141383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072616024,0.00018319437,0.98591286,0.000027827966,0.0001107421,0.00032051685,0.0031175667,0.00015103155,0.00049310067,0.0009062765,0.0002842155,0.0077664973],"study_design_scores_gemma":[0.000033153938,0.00015382083,0.9872901,0.000011795984,0.000098838456,0.000115418836,0.010266715,0.00021585256,0.00029118307,0.0007705876,0.0007399736,0.000012556413],"about_ca_topic_score_codex":0.011502878,"about_ca_topic_score_gemma":0.027310787,"teacher_disagreement_score":0.011502878,"about_ca_system_score_codex":0.00052478636,"about_ca_system_score_gemma":0.0003449091,"threshold_uncertainty_score":0.022871852},"labels":[],"label_agreement":null},{"id":"W1579089024","doi":"10.5539/ijef.v7n6p179","title":"Macroeconomic Stress, Equity Market Liquidity Spirals and Markov Regime Switching","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Spiral (railway); Market liquidity; Markov chain; Economics; Equity (law); Econometrics; Monetary economics; Mathematics; Statistics; Mathematical analysis","score_opus":0.046315753524320984,"score_gpt":0.259398013127838,"score_spread":0.213082259603517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1579089024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862964,0.00026888537,0.011155633,0.00049471436,0.0000136480285,0.000017526136,0.00024025525,0.000045119727,0.0014677871],"genre_scores_gemma":[0.9992663,0.0000995866,0.00034345454,0.000013756278,0.0000078382855,0.000005204496,0.00008109385,0.0000019178324,0.00018081468],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980694,0.000052551026,0.000013318442,0.000044002634,0.000020371843,0.00006277807],"domain_scores_gemma":[0.9970312,0.0012684129,0.0012132559,0.00015103008,0.00011890629,0.00021716228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010253794,0.0002490026,0.00031090557,0.00094887713,0.00028249936,0.0011330583,0.0003008839,0.00048341113,0.002244967],"category_scores_gemma":[0.0053310874,0.00020317343,0.0005695397,0.0006776239,0.0005545452,0.0010532571,0.0005437666,0.0008740012,0.00013296939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062621967,0.00018871848,0.75694346,0.000104901024,0.00024732406,0.000811859,0.00082641223,0.1437493,0.0031661768,0.06214097,0.0016545458,0.029540142],"study_design_scores_gemma":[0.000036084482,0.00016553933,0.28943005,0.000048592185,0.000076818666,0.0003236328,0.00046814463,0.6318209,0.00065796,0.0760012,0.00092382485,0.000047291687],"about_ca_topic_score_codex":0.0048667663,"about_ca_topic_score_gemma":0.004320834,"teacher_disagreement_score":0.0048667663,"about_ca_system_score_codex":0.0006547631,"about_ca_system_score_gemma":0.0004058652,"threshold_uncertainty_score":0.009676874},"labels":[],"label_agreement":null},{"id":"W1580070709","doi":"10.2139/ssrn.2296836","title":"Does the Bond-Stock Earning Yield Differential Model Predict Equity Market Corrections Better than High P/E Models?","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council","keywords":"Equity (law); Bond; Economics; Bond market; Stock market; Econometrics; Financial economics; Business; Financial system; Finance; Political science; Geography","score_opus":0.022684237357056526,"score_gpt":0.2069875664727516,"score_spread":0.18430332911569508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580070709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885308,0.0003093886,0.006877866,0.0012299676,0.00012040373,0.000016069775,0.0006030852,0.00017345,0.0021389956],"genre_scores_gemma":[0.99808335,0.00008866804,0.0005666837,0.00011146268,0.00005212923,0.000002049784,0.0003907508,0.000032713575,0.0006722133],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995018,0.00018105903,0.000037420305,0.00012521635,0.00005144449,0.000103030805],"domain_scores_gemma":[0.989238,0.005873807,0.0017944287,0.0013183387,0.0009639627,0.0008114221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035247563,0.0007851734,0.00079406047,0.00071491493,0.0003222598,0.0020128656,0.0011666346,0.0017079781,0.004780909],"category_scores_gemma":[0.02323899,0.00036638012,0.00080815324,0.0005246931,0.0004956047,0.0029733274,0.00070983515,0.0011665551,0.0019027765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000890224,0.00041178637,0.8670107,0.000062671555,0.00061591814,0.00034277068,0.000082522296,0.08132435,0.0011976807,0.0031440433,0.006893412,0.038023967],"study_design_scores_gemma":[0.00014615315,0.00041160083,0.23906817,0.000044077206,0.0002723019,0.0003384921,0.00025187436,0.7388129,0.0020264043,0.01643941,0.0021397318,0.000048819973],"about_ca_topic_score_codex":0.009980912,"about_ca_topic_score_gemma":0.0070357206,"teacher_disagreement_score":0.009980912,"about_ca_system_score_codex":0.00038686712,"about_ca_system_score_gemma":0.00061171595,"threshold_uncertainty_score":0.019845665},"labels":[],"label_agreement":null},{"id":"W1580314220","doi":"10.1111/j.1475-6803.2013.12010.x","title":"THE PRICING EFFICIENCY OF LEVERAGED EXCHANGE‐TRADED FUNDS: EVIDENCE FROM THE U.S. MARKETS","year":2013,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Leverage (statistics); Monetary economics; Business; Global assets under management; Passive management; Fund of funds; Financial economics; Closed-end fund; Economics; Econometrics; Institutional investor; Finance; Market liquidity; Statistics; Mathematics","score_opus":0.13789131731435278,"score_gpt":0.3054790897532318,"score_spread":0.167587772438879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580314220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979017,0.0004263269,0.00011998744,0.00017092355,0.000003843576,0.000003195615,0.000098623794,0.000004411206,0.0012709067],"genre_scores_gemma":[0.99954104,0.00019481627,0.000042700267,0.000028501747,0.000014239143,9.802836e-7,0.00010019152,0.000001952582,0.000075588156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995371,0.0001727951,0.000041949144,0.00005665163,0.0001246239,0.0000668649],"domain_scores_gemma":[0.98569226,0.0053008944,0.0069498923,0.0006081293,0.0008510765,0.00059772877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017553103,0.0002396896,0.00035292446,0.0013349823,0.00033237383,0.0016120686,0.00026534512,0.0005298569,0.002264475],"category_scores_gemma":[0.011476914,0.00016130568,0.00025743904,0.0016399325,0.0007885807,0.0016166469,0.00084847765,0.0005209116,0.00028232194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011618645,0.0004127277,0.94487894,0.000092408714,0.00046729256,0.00056436245,0.000699333,0.0030187368,0.0024718703,0.0047272085,0.0022425733,0.03926253],"study_design_scores_gemma":[0.00011150098,0.0002534866,0.98516095,0.00004939853,0.0001489692,0.00037751422,0.00077155704,0.0066929082,0.0014044712,0.0029126285,0.002076558,0.00003997299],"about_ca_topic_score_codex":0.004779652,"about_ca_topic_score_gemma":0.0042186077,"teacher_disagreement_score":0.004779652,"about_ca_system_score_codex":0.00032237658,"about_ca_system_score_gemma":0.00018963839,"threshold_uncertainty_score":0.009503663},"labels":[],"label_agreement":null},{"id":"W1580671641","doi":"10.2139/ssrn.1258122","title":"Economic Conditions, Flight-to-Quality and Mutual Fund Flow","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Mutual fund; Quality (philosophy); Economics; Business; Finance","score_opus":0.024304864276809352,"score_gpt":0.25714032670516035,"score_spread":0.232835462428351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580671641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99572504,0.000164548,0.00020357526,0.00040805058,0.0000056490467,0.000009743583,0.0001842497,0.00000475258,0.0032943983],"genre_scores_gemma":[0.9995258,0.00004871963,0.000030067666,0.000015361278,0.000008899919,0.0000014158283,0.00006315096,0.0000012303486,0.00030540448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953926,0.00012693621,0.000049193288,0.000047987367,0.000059600337,0.00017707398],"domain_scores_gemma":[0.98422617,0.005533622,0.0063297637,0.00035861065,0.00076098915,0.0027907926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00147762,0.00010413108,0.000293677,0.00087493146,0.00047181125,0.0028606006,0.00026061744,0.0010423567,0.0082161445],"category_scores_gemma":[0.014299829,0.00012336258,0.00023117074,0.00075678254,0.00088949205,0.0017771833,0.00080039393,0.0009268368,0.00043775045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012778958,0.00047990904,0.9663099,0.00006289774,0.00011239843,0.00041820027,0.0006138464,0.003926654,0.0011645416,0.014764749,0.0009559312,0.009912953],"study_design_scores_gemma":[0.00006409918,0.00023886838,0.9819909,0.000018952975,0.000044108278,0.00018453073,0.0017214663,0.0025257168,0.00026526977,0.011900608,0.0010266828,0.000018905805],"about_ca_topic_score_codex":0.006282851,"about_ca_topic_score_gemma":0.006783629,"teacher_disagreement_score":0.0082161445,"about_ca_system_score_codex":0.0011386079,"about_ca_system_score_gemma":0.0006037764,"threshold_uncertainty_score":0.027485728},"labels":[],"label_agreement":null},{"id":"W1583424124","doi":"","title":"International Price Discovery in the Presence of Microstructure Noise","year":2008,"lang":"en","type":"preprint","venue":"Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market microstructure; Estimator; Econometrics; Cholesky decomposition; Noise (video); Economics; Price discovery; Price formation; Financial economics; Order (exchange); Computer science; Mathematics; Statistics; Finance; Artificial intelligence","score_opus":0.018750894854619914,"score_gpt":0.19222686864529417,"score_spread":0.17347597379067425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583424124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974939,0.000870097,0.015281714,0.0011345402,0.000038230854,0.000021274149,0.00022551569,0.000064881904,0.0074246787],"genre_scores_gemma":[0.99806625,0.00019379982,0.00090442784,0.000044931523,0.000022578772,0.0000029835332,0.00010574523,0.000006300534,0.000652951],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979607,0.00029517285,0.00011386463,0.00046506434,0.00080925634,0.00035597177],"domain_scores_gemma":[0.9787717,0.01041733,0.007081679,0.0015548494,0.0016082803,0.0005661004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004599698,0.0002578918,0.00071956555,0.0015510487,0.00081315043,0.0033849366,0.0008077691,0.0010498326,0.0014630376],"category_scores_gemma":[0.04342651,0.00033630055,0.00038656703,0.0020848885,0.0021588153,0.0023666779,0.0013047744,0.0010645641,0.00012600378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075189397,0.00011267493,0.63981616,0.00021717137,0.00053532637,0.0027608913,0.0034509236,0.043798435,0.006699584,0.16251475,0.004913888,0.13442829],"study_design_scores_gemma":[0.000081922095,0.00014912004,0.7165231,0.000055204626,0.00038151327,0.00089692685,0.001476901,0.17359072,0.007084414,0.09281609,0.006729192,0.00021483035],"about_ca_topic_score_codex":0.09296012,"about_ca_topic_score_gemma":0.07410517,"teacher_disagreement_score":0.09296012,"about_ca_system_score_codex":0.0033009285,"about_ca_system_score_gemma":0.0016508311,"threshold_uncertainty_score":0.18483806},"labels":[],"label_agreement":null},{"id":"W1584300703","doi":"","title":"Size matters! How position sizing determines risk and return of technical timing strategies","year":2012,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dalhousie University","keywords":"Portfolio; Sizing; Volatility (finance); Position (finance); Economics; Econometrics; Trading strategy; Autocorrelation; Technical analysis; Financial economics; Mathematics; Statistics; Finance","score_opus":0.025097641633685237,"score_gpt":0.22447571492570245,"score_spread":0.1993780732920172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584300703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97200584,0.00039979772,0.01939374,0.00046143524,0.000045582543,0.000016084205,0.000086674365,0.000071198,0.007519632],"genre_scores_gemma":[0.9981096,0.000114401715,0.0011434441,0.00001859586,0.000014363025,0.0000035191763,0.000024639246,0.000016461574,0.00055489957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995365,0.00015023131,0.000037152284,0.000104571445,0.00010395843,0.00006766659],"domain_scores_gemma":[0.98948985,0.006895276,0.001842428,0.0009430829,0.00035947934,0.00046975503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020475208,0.00033668452,0.00037786446,0.00043398092,0.00020673683,0.0022855613,0.0003999616,0.000823956,0.004172703],"category_scores_gemma":[0.018168237,0.00023036786,0.00030766096,0.0003060376,0.000826475,0.0021990906,0.00045399187,0.00068237766,0.00045057666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021249962,0.0004940113,0.18002407,0.00036749916,0.00043194194,0.0019708218,0.00056951965,0.4398583,0.071977064,0.1279685,0.0031893046,0.17102389],"study_design_scores_gemma":[0.0001893704,0.0014849699,0.18234538,0.00010809095,0.000341122,0.0011250121,0.0005396127,0.6577931,0.021097101,0.1319591,0.002829993,0.00018716523],"about_ca_topic_score_codex":0.00068670494,"about_ca_topic_score_gemma":0.000503155,"teacher_disagreement_score":0.004172703,"about_ca_system_score_codex":0.00027997865,"about_ca_system_score_gemma":0.0003804394,"threshold_uncertainty_score":0.01395911},"labels":[],"label_agreement":null},{"id":"W1584425931","doi":"10.2139/ssrn.673102","title":"Modelling the Efficiency of Equity Markets: Asymmetric Response to Price Innovations","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Equity (law); Economics; Monetary economics; Financial economics; Business","score_opus":0.02788139938976994,"score_gpt":0.24424196100487777,"score_spread":0.21636056161510783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584425931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75668323,0.0007095115,0.23252718,0.0028278215,0.00010930603,0.000057549547,0.00018057576,0.00014145886,0.0067633563],"genre_scores_gemma":[0.9940943,0.0002143262,0.0031881593,0.000056844052,0.00005364976,0.000017667533,0.000036534286,0.000035119803,0.0023033405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909604,0.0004547783,0.000046519024,0.00012590358,0.000106070904,0.00017059529],"domain_scores_gemma":[0.9773088,0.01929565,0.0018292909,0.0005684025,0.00056370976,0.0004341252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037082126,0.00087594456,0.0011823565,0.0008274115,0.00029543697,0.0025659658,0.001555145,0.0039038626,0.002225097],"category_scores_gemma":[0.030268846,0.0008278969,0.0009102803,0.000804504,0.001785281,0.0038519513,0.0013402177,0.002307472,0.00024575298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009341867,0.00008139974,0.002018472,0.0000391472,0.0000399678,0.00013327732,0.00008943859,0.9492132,0.0014746458,0.043549426,0.0003386675,0.0029289883],"study_design_scores_gemma":[0.00001314496,0.000008965187,0.00024020461,0.0000014730215,0.0000053476874,0.000010480895,0.0000069920825,0.9915456,0.00012237344,0.008002507,0.000037680285,0.0000051687725],"about_ca_topic_score_codex":0.0035272895,"about_ca_topic_score_gemma":0.001375532,"teacher_disagreement_score":0.0039038626,"about_ca_system_score_codex":0.001182009,"about_ca_system_score_gemma":0.00072041946,"threshold_uncertainty_score":0.01961112},"labels":[],"label_agreement":null},{"id":"W1585545567","doi":"","title":"The Bond Risk Premium and the Cross-Section of Equity Returns","year":2009,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Risk premium; Economics; Bond; Value premium; Financial economics; Capital asset pricing model; Equity premium puzzle; Econometrics; Stochastic discount factor; Stock (firearms); Growth stock; Dividend; Bond valuation; Stock market; Restricted stock; Finance","score_opus":0.03408734029632459,"score_gpt":0.3009767185129501,"score_spread":0.2668893782166255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585545567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6897063,0.013857758,0.25980407,0.0039992807,0.00035950763,0.00011401466,0.0020432454,0.0005593487,0.029556364],"genre_scores_gemma":[0.9772364,0.004269669,0.005092744,0.0002511705,0.0003720537,0.00005681661,0.0011656507,0.000060265746,0.011495187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991861,0.00013680938,0.000043094537,0.0002917334,0.00021525168,0.00012703956],"domain_scores_gemma":[0.9956508,0.0021993108,0.0011056382,0.00042589908,0.00034968977,0.00026872932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024264534,0.0010400554,0.0008121429,0.0016556713,0.0003231212,0.002701712,0.0009479613,0.0023810973,0.007936635],"category_scores_gemma":[0.011762596,0.00051319407,0.0010136522,0.0014823145,0.0010097177,0.004370442,0.0012603296,0.0019423871,0.0014187058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024050703,0.00027530256,0.15139975,0.00021727337,0.0011290709,0.0008227913,0.00035204075,0.15642494,0.005540664,0.6069372,0.00505555,0.07160489],"study_design_scores_gemma":[0.00003504529,0.00024274342,0.15994027,0.000101253645,0.00027321908,0.0014094842,0.00020165557,0.24990544,0.0020209462,0.573422,0.012291161,0.0001568636],"about_ca_topic_score_codex":0.0033732029,"about_ca_topic_score_gemma":0.0017890178,"teacher_disagreement_score":0.007936635,"about_ca_system_score_codex":0.0012307973,"about_ca_system_score_gemma":0.0004371804,"threshold_uncertainty_score":0.02655065},"labels":[],"label_agreement":null},{"id":"W1585973164","doi":"10.2139/ssrn.302065","title":"Price Impact Costs and the Limit of Arbitrage","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Arbitrage; Limit (mathematics); Economics; Financial economics; Econometrics; Business; Monetary economics; Mathematics","score_opus":0.014390223970520158,"score_gpt":0.2000590781264129,"score_spread":0.18566885415589274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585973164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.728647,0.005807241,0.14612319,0.007265638,0.0002798786,0.00007485301,0.00018847716,0.0003095267,0.111304194],"genre_scores_gemma":[0.9917762,0.0006267321,0.0022519212,0.00007941907,0.00016249287,0.000019167212,0.000034456887,0.000027943372,0.0050216448],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99840015,0.00045719693,0.00014281069,0.0002113516,0.00046283953,0.00032560763],"domain_scores_gemma":[0.9562551,0.0329591,0.0043328875,0.003018923,0.0016803463,0.0017535537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004644442,0.0006043628,0.0013721185,0.0018936872,0.0009721538,0.005777326,0.0023027905,0.0031555865,0.011740273],"category_scores_gemma":[0.06523687,0.0006910961,0.0007917586,0.0012904457,0.0035845204,0.014011497,0.00272811,0.0041238763,0.0005382113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025413692,0.00010096247,0.0017953428,0.000116528696,0.00004101292,0.00042319534,0.00021083203,0.023014262,0.0011620919,0.9553906,0.0012624264,0.016228769],"study_design_scores_gemma":[0.000050952072,0.00006229641,0.0016394036,0.000026292066,0.000039470233,0.00043609348,0.000092117574,0.094646096,0.00046119708,0.9016296,0.0008814461,0.00003500569],"about_ca_topic_score_codex":0.0007144218,"about_ca_topic_score_gemma":0.00036114408,"teacher_disagreement_score":0.011740273,"about_ca_system_score_codex":0.0012015399,"about_ca_system_score_gemma":0.0010245874,"threshold_uncertainty_score":0.03927511},"labels":[],"label_agreement":null},{"id":"W1587805312","doi":"10.2139/ssrn.293422","title":"On Measuring the Economic Significance of Asset Return Predictability","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Predictability; Economics; Asset (computer security); Financial economics; Econometrics; Business; Computer science; Statistics; Mathematics; Computer security","score_opus":0.020604000079841485,"score_gpt":0.20912606029889685,"score_spread":0.18852206021905538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1587805312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.897171,0.0019072464,0.08745753,0.0010867344,0.00012029861,0.000053046126,0.0002559719,0.00018053899,0.011767564],"genre_scores_gemma":[0.9934349,0.0005682298,0.0054132775,0.0000618428,0.00017851274,0.000015745847,0.00013438684,0.000022282418,0.00017088735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99692756,0.0014340559,0.00017878467,0.00038761846,0.0008171962,0.0002548223],"domain_scores_gemma":[0.9060296,0.08318881,0.0053043435,0.0033383928,0.0015087851,0.000630144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007439385,0.0009853326,0.0011876425,0.003456492,0.00062132796,0.0032293578,0.0009421266,0.001430141,0.0010041858],"category_scores_gemma":[0.06392713,0.00040511685,0.0005910103,0.0033904407,0.0021646328,0.004782402,0.0020535032,0.0018953517,0.00026267648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007688589,0.00035231927,0.49779108,0.00030336186,0.0006116686,0.0006776303,0.00052725006,0.12603107,0.012585672,0.12387464,0.0016588247,0.23481765],"study_design_scores_gemma":[0.000050015467,0.00048193513,0.2771831,0.00009843527,0.00020842184,0.00044837277,0.00037871054,0.51761454,0.006547158,0.1960066,0.00086651416,0.00011627481],"about_ca_topic_score_codex":0.0011739134,"about_ca_topic_score_gemma":0.00090657437,"teacher_disagreement_score":0.007439385,"about_ca_system_score_codex":0.00070224033,"about_ca_system_score_gemma":0.0007375713,"threshold_uncertainty_score":0.039343715},"labels":[],"label_agreement":null},{"id":"W1589848942","doi":"10.2139/ssrn.1107623","title":"The Influence of Productivity on Asset Pricing","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; York University; University of Toronto","funders":"","keywords":"Consumption-based capital asset pricing model; Productivity; Business; Capital asset pricing model; Financial economics; Economics; Asset (computer security); Actuarial science; Computer science; Macroeconomics","score_opus":0.016374469190956812,"score_gpt":0.20402708689104396,"score_spread":0.18765261770008715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589848942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808656,0.00075202435,0.0033206309,0.0012666556,0.000062874366,0.0000052802034,0.0001460936,0.000061136554,0.013519681],"genre_scores_gemma":[0.99884915,0.00019123063,0.000085468346,0.0000272224,0.00004473929,7.244596e-7,0.0000215742,0.000011964448,0.0007679204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932337,0.00028831314,0.000031236294,0.000070819115,0.0000877927,0.0001984577],"domain_scores_gemma":[0.947253,0.04509275,0.002479963,0.001627086,0.0014111315,0.002135994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024226569,0.00032611506,0.0004623078,0.0008620958,0.00041546326,0.004005879,0.00044719368,0.0011731482,0.008263106],"category_scores_gemma":[0.035131123,0.00026600194,0.0004023774,0.0007538193,0.001054485,0.0015398368,0.000872129,0.0012915473,0.0014601912],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0063512204,0.0017767564,0.5095294,0.0003164725,0.0006531604,0.005204294,0.002184513,0.13577014,0.034412984,0.1202312,0.010670865,0.172899],"study_design_scores_gemma":[0.0004915426,0.00088611804,0.58328235,0.00008526222,0.0005079796,0.0013491149,0.0019669235,0.22134465,0.009208377,0.17527531,0.0054242243,0.00017821035],"about_ca_topic_score_codex":0.0025586917,"about_ca_topic_score_gemma":0.0010028497,"teacher_disagreement_score":0.008263106,"about_ca_system_score_codex":0.0006914058,"about_ca_system_score_gemma":0.0005036468,"threshold_uncertainty_score":0.027642846},"labels":[],"label_agreement":null},{"id":"W1590250205","doi":"10.2139/ssrn.1452864","title":"A Synthesis of Two Factor Estimation Methods","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Estimation; Factor (programming language); Computer science; Statistics; Econometrics; Mathematics; Economics; Programming language","score_opus":0.02039557459201,"score_gpt":0.27679807655346206,"score_spread":0.25640250196145203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590250205","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009970869,0.0034267816,0.9922151,0.00037293835,0.0002077501,0.000112480724,0.00024318366,0.00043719745,0.001987407],"genre_scores_gemma":[0.024975019,0.0065910947,0.9626856,0.00028692823,0.00038797274,0.0005001021,0.0009283452,0.00037763134,0.0032674074],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99216753,0.0047946656,0.0007706383,0.00080938265,0.0012425858,0.00021510855],"domain_scores_gemma":[0.96923125,0.023883387,0.0006516577,0.0020483655,0.003973173,0.00021227791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014409778,0.0026536072,0.0026281243,0.0048458143,0.00077633804,0.003721325,0.0020682495,0.0022496167,0.023258807],"category_scores_gemma":[0.05614819,0.0011227711,0.0027750742,0.0045982264,0.0006647295,0.0037749435,0.002187602,0.0018527913,0.006547036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002698175,0.00013779575,0.0015309122,0.0013817871,0.00044522228,0.00007898869,0.00027228094,0.011176381,0.0009774675,0.04553614,0.0065623526,0.93163085],"study_design_scores_gemma":[0.00096352026,0.0011091795,0.011913048,0.0043557514,0.0025337974,0.0008187052,0.0009314468,0.48356506,0.009284739,0.3480352,0.13575989,0.00072979205],"about_ca_topic_score_codex":0.004722453,"about_ca_topic_score_gemma":0.0046049184,"teacher_disagreement_score":0.023258807,"about_ca_system_score_codex":0.0008465141,"about_ca_system_score_gemma":0.0026800463,"threshold_uncertainty_score":0.07780844},"labels":[],"label_agreement":null},{"id":"W1590389709","doi":"10.2139/ssrn.292579","title":"Exploring Multifactor Models: Horse Races, Forecasts, and Bootstrap","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Horse racing; Econometrics; Horse; Economics; Race (biology); Biology","score_opus":0.14593822895729633,"score_gpt":0.23295928227613957,"score_spread":0.08702105331884324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590389709","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12728295,0.0017061337,0.8670667,0.0012012388,0.00008127458,0.000032993536,0.00013215085,0.00047598194,0.0020205537],"genre_scores_gemma":[0.82919496,0.0008204271,0.16793175,0.00016527632,0.00019228952,0.000057090525,0.00030424635,0.00011783234,0.0012161344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99791116,0.0016124954,0.0000640516,0.00016870779,0.0001541182,0.00008939161],"domain_scores_gemma":[0.95998454,0.03686119,0.00086892064,0.0013777703,0.00063328585,0.00027419903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010968761,0.0007899751,0.001607407,0.0016294965,0.0009558726,0.0018855706,0.0014642264,0.0021832231,0.0033133673],"category_scores_gemma":[0.054791182,0.00079428905,0.0011198731,0.0013253853,0.0010157538,0.00423373,0.0013819726,0.0026147247,0.0003567939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023520093,0.000105603496,0.005673881,0.00011593021,0.00017841735,0.00013389888,0.00035030386,0.85734606,0.0005831631,0.063927904,0.0021873822,0.069162324],"study_design_scores_gemma":[0.0000071354466,0.000015193817,0.00020470905,0.000010431776,0.000008930663,0.000007547553,0.000023322558,0.9708444,0.000065809116,0.028615978,0.00018940259,0.000007160601],"about_ca_topic_score_codex":0.011039654,"about_ca_topic_score_gemma":0.0088702105,"teacher_disagreement_score":0.011039654,"about_ca_system_score_codex":0.0006524315,"about_ca_system_score_gemma":0.00079303095,"threshold_uncertainty_score":0.05800903},"labels":[],"label_agreement":null},{"id":"W1590425343","doi":"10.5296/jmr.v11i2.14513","title":"Structural Breaks and Volatility Spillovers: The Case of the US and Canadian Stock Markets","year":2019,"lang":"en","type":"article","venue":"Journal of Management Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Chuo University","keywords":"Spillover effect; Econometrics; Economics; Stock (firearms); Structural break; Volatility (finance); Bankruptcy; Financial economics; Macroeconomics; Finance; Geography","score_opus":0.042892992553811154,"score_gpt":0.2696493920733935,"score_spread":0.22675639951958235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590425343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767502,0.0019675472,0.0013708342,0.0010182249,0.000014391284,0.000040752388,0.0005349413,0.00003304698,0.01827013],"genre_scores_gemma":[0.9985092,0.0004213324,0.00023664309,0.000037634833,0.000007931968,0.0000027453066,0.00017985284,0.000002490771,0.00060203474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908495,0.00009979211,0.00003118866,0.00011491918,0.0002947927,0.00037430538],"domain_scores_gemma":[0.99690175,0.0008450639,0.00087352033,0.00036646007,0.00066972506,0.00034348443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015544514,0.00039258256,0.0005872605,0.0021688598,0.0018880401,0.0023807464,0.0007633294,0.00089326344,0.0036879932],"category_scores_gemma":[0.008458574,0.00021496131,0.00087557785,0.0027572436,0.0011277836,0.0016768099,0.0015387476,0.0013427748,0.00016401928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010063058,0.0002934228,0.67542374,0.00025602875,0.00080644584,0.0044315895,0.005103529,0.062527984,0.0020056802,0.144,0.006952906,0.09719232],"study_design_scores_gemma":[0.00014009229,0.00014150931,0.8815749,0.00015794471,0.00069143315,0.00065155583,0.008114305,0.065637276,0.0012163429,0.030313393,0.011196054,0.00016512668],"about_ca_topic_score_codex":0.859639,"about_ca_topic_score_gemma":0.86046624,"teacher_disagreement_score":0.14036101,"about_ca_system_score_codex":0.0064936937,"about_ca_system_score_gemma":0.00574441,"threshold_uncertainty_score":0.28237522},"labels":[],"label_agreement":null},{"id":"W1591287045","doi":"","title":"Do Shareholders' Preferences Affect their Funds' Management? Evidence from the Cross Section of Shareholders and Funds","year":2004,"lang":"en","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Arbitrage; Dividend; Shareholder; Finance; Economics; Business","score_opus":0.058417987483040626,"score_gpt":0.24066859940191979,"score_spread":0.18225061191887915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1591287045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971149,0.00048177535,0.00016368274,0.00031130356,0.0000028960064,0.00000459523,0.000105641615,0.0000012210265,0.0018140358],"genre_scores_gemma":[0.9983986,0.00024522273,0.00006382812,0.00007418639,0.000009590334,0.000004806918,0.00013945413,0.0000013990436,0.001062888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848145,0.00070038164,0.00012894583,0.00019359626,0.00024491633,0.0002507277],"domain_scores_gemma":[0.97233284,0.013095063,0.011226683,0.0014910608,0.00080069515,0.001053668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042119985,0.00015602981,0.0003252178,0.00071852194,0.000552481,0.0017895892,0.00036032958,0.00084815145,0.0048714518],"category_scores_gemma":[0.019300498,0.0001709991,0.00034021813,0.0010343313,0.0005269236,0.0012110058,0.00084352604,0.00049508864,0.0005202931],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003241621,0.0000660345,0.987815,0.000017865492,0.00019145802,0.00012640297,0.0011840739,0.00029370183,0.00028149888,0.0009795814,0.00026183267,0.008458371],"study_design_scores_gemma":[0.000015363305,0.00006055017,0.995352,0.000015856735,0.00011808907,0.00010084167,0.001680552,0.00032432916,0.00029180927,0.00087029045,0.0011588329,0.000011498126],"about_ca_topic_score_codex":0.016826564,"about_ca_topic_score_gemma":0.023853024,"teacher_disagreement_score":0.016826564,"about_ca_system_score_codex":0.000565571,"about_ca_system_score_gemma":0.00026127,"threshold_uncertainty_score":0.03345728},"labels":[],"label_agreement":null},{"id":"W1591479274","doi":"10.1002/9781118638828.ch9","title":"Tactical Asset Allocation","year":2013,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Asset allocation; Asset (computer security); Value (mathematics); Business; Volatility (finance); Investment value; Alternative asset; Finance; Financial economics; Economics; Computer science; Portfolio; Computer security","score_opus":0.030049572465281206,"score_gpt":0.21785373383008605,"score_spread":0.18780416136480485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1591479274","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053169575,0.011092625,0.11732378,0.0035327775,0.0005876742,0.0002954051,0.00041304695,0.0007436178,0.8128416],"genre_scores_gemma":[0.6989915,0.013319883,0.06467643,0.0011082836,0.00049598276,0.0002593202,0.0010411709,0.00025685373,0.21985061],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99923694,0.00013139931,0.00003819958,0.00007957346,0.00037303386,0.00014076305],"domain_scores_gemma":[0.9991954,0.00015057686,0.000116044714,0.00014769302,0.00026455402,0.00012578384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010092879,0.0004252576,0.000282816,0.0011358054,0.00076064485,0.0033633488,0.00090583094,0.0006534331,0.032394476],"category_scores_gemma":[0.002977019,0.00015130804,0.00027995728,0.0011332446,0.0006647497,0.003657712,0.0018000143,0.0008319134,0.006485562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000887591,0.00012661169,0.004071353,0.00020785959,0.000025069869,0.00023918836,0.00061712,0.006994743,0.0024592616,0.33449057,0.0305786,0.6201008],"study_design_scores_gemma":[0.00003045457,0.00020290457,0.0064312117,0.00065875385,0.000027125372,0.0011821337,0.0010780642,0.014128494,0.003756367,0.17404738,0.79840815,0.000048831116],"about_ca_topic_score_codex":0.0016845785,"about_ca_topic_score_gemma":0.0018316451,"teacher_disagreement_score":0.032394476,"about_ca_system_score_codex":0.0013177545,"about_ca_system_score_gemma":0.0014581945,"threshold_uncertainty_score":0.108370304},"labels":[],"label_agreement":null},{"id":"W1592684503","doi":"10.5296/ijafr.v4i2.6622","title":"Seasonal Analysis of Abnormal Returns after Quarterly Earnings Announcements","year":2014,"lang":"en","type":"article","venue":"International Journal of Accounting and Financial Reporting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Stock market; Economics; Stock (firearms); Seasonality; Efficient-market hypothesis; Financial economics; Abnormal return; Monetary economics; Event study; Business; Econometrics; Finance; Stock exchange; Mathematics; Statistics; Geography","score_opus":0.014418650056204683,"score_gpt":0.23841133514097468,"score_spread":0.22399268508477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592684503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99731004,0.0001148248,0.00080752716,0.00006549937,0.000012434794,0.000007568051,0.00038928466,0.000044803164,0.0012479476],"genre_scores_gemma":[0.99906534,0.00003690437,0.00014030536,0.0000069872845,0.000017349961,0.0000023616035,0.0004017001,0.0000039190586,0.00032515996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995122,0.00007006625,0.000056188568,0.00008542677,0.00016265137,0.00011341],"domain_scores_gemma":[0.9939746,0.0018815491,0.002464459,0.00039713766,0.00092418323,0.0003579173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009561103,0.00016690977,0.0002762377,0.0017156326,0.00015047655,0.00077627186,0.00023097379,0.00022941723,0.0016231185],"category_scores_gemma":[0.00514437,0.00009398014,0.00030377778,0.0013654337,0.0001815496,0.00045665837,0.00028180855,0.00036819192,0.00032043114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045634923,0.00016013728,0.94486874,0.00005032349,0.00018248703,0.0006167146,0.00025158294,0.004628265,0.0076175584,0.001322899,0.0014679763,0.038376894],"study_design_scores_gemma":[0.0000046932323,0.000105058476,0.985858,0.0000045682955,0.00004073398,0.00013256846,0.00012834695,0.011960595,0.0009754015,0.0002663388,0.00051173026,0.000012034226],"about_ca_topic_score_codex":0.0057511763,"about_ca_topic_score_gemma":0.0041608885,"teacher_disagreement_score":0.0057511763,"about_ca_system_score_codex":0.00028687075,"about_ca_system_score_gemma":0.00023423941,"threshold_uncertainty_score":0.0114353895},"labels":[],"label_agreement":null},{"id":"W1593196745","doi":"10.2139/ssrn.1006234","title":"The Term Structure of Bond Market Liquidity","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Market liquidity; Term (time); Bond; Financial system; Bond market; Business; Financial economics; Economics; Monetary economics; Finance; Physics","score_opus":0.01301520961740414,"score_gpt":0.19431356518317247,"score_spread":0.18129835556576834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1593196745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9545681,0.0025877466,0.026909962,0.0021094312,0.000044789987,0.00001690091,0.0005665931,0.0001291343,0.013067364],"genre_scores_gemma":[0.9963207,0.00039238288,0.00075371686,0.000034919012,0.00009409254,0.0000069572257,0.00012187399,0.000022582424,0.0022528442],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997317,0.00007834413,0.00002037103,0.000045593904,0.000074325704,0.000049580056],"domain_scores_gemma":[0.99170434,0.0047585233,0.0018144721,0.00036243233,0.000796555,0.0005636448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013851764,0.0002574113,0.00042899372,0.0016591335,0.00053745054,0.0028648435,0.0008215738,0.0014620487,0.003408204],"category_scores_gemma":[0.01546581,0.00051990215,0.00026068778,0.0013367337,0.0011446674,0.0043456634,0.0008187349,0.0016194306,0.00069457386],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006017671,0.0001566062,0.08134066,0.00018131293,0.00015304526,0.0012122596,0.00093956466,0.062528804,0.016690219,0.79355097,0.005719735,0.036925025],"study_design_scores_gemma":[0.00009208659,0.00019116046,0.10084821,0.00008665937,0.00009612135,0.00085371383,0.0003697981,0.24239041,0.0018788066,0.6508873,0.0021889408,0.000116738105],"about_ca_topic_score_codex":0.0012664094,"about_ca_topic_score_gemma":0.0014630486,"teacher_disagreement_score":0.003408204,"about_ca_system_score_codex":0.00089850376,"about_ca_system_score_gemma":0.00038905028,"threshold_uncertainty_score":0.011401534},"labels":[],"label_agreement":null},{"id":"W1595054757","doi":"","title":"How Inefficient is the 1/N Asset-Allocation Strategy?","year":2005,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sharpe ratio; Diversification (marketing strategy); Econometrics; Volatility (finance); Asset allocation; Economics; Intuition; Statistics; Mathematics; Financial economics; Portfolio","score_opus":0.046146269013423426,"score_gpt":0.2727713122886718,"score_spread":0.22662504327524838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595054757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71861297,0.0048462464,0.24660648,0.009268394,0.00044181666,0.00039674464,0.00062799896,0.0007128261,0.018486558],"genre_scores_gemma":[0.9463281,0.00066467363,0.049604125,0.0013827033,0.00011601553,0.00011374339,0.00023935875,0.00008578001,0.0014656826],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.987861,0.0076582865,0.000673819,0.0022500723,0.0010058808,0.00055095664],"domain_scores_gemma":[0.97063833,0.02066049,0.0027556284,0.0039978316,0.0013586262,0.0005890329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024676092,0.0007480294,0.0021691653,0.0009600912,0.00078241737,0.0035588378,0.0019036379,0.0027426681,0.0013642918],"category_scores_gemma":[0.068526044,0.0005014756,0.00076926505,0.00079505914,0.001672665,0.0045174523,0.0011140433,0.0015571951,0.00082041544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001942735,0.00062243716,0.08385169,0.0004623763,0.0012984253,0.00035385787,0.00054000143,0.41930357,0.0034763403,0.05546927,0.011296842,0.4213825],"study_design_scores_gemma":[0.00049608666,0.0010774772,0.02176235,0.00035720214,0.00028759526,0.0006933277,0.0006886565,0.84297234,0.006143996,0.11892075,0.006452059,0.00014817044],"about_ca_topic_score_codex":0.005635171,"about_ca_topic_score_gemma":0.003887223,"teacher_disagreement_score":0.024676092,"about_ca_system_score_codex":0.0015306876,"about_ca_system_score_gemma":0.0026828644,"threshold_uncertainty_score":0.13050127},"labels":[],"label_agreement":null},{"id":"W1595951588","doi":"10.2139/ssrn.2181195","title":"Does Non-Informative Text Affect Investor Behavior?","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Affect (linguistics); Psychology; Social psychology; Business; Communication","score_opus":0.014880471459063448,"score_gpt":0.22229682607344556,"score_spread":0.2074163546143821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595951588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911901,0.00019298386,0.00051198556,0.0013472348,0.00006241872,0.000012097005,0.00030859944,0.000026831418,0.0063477694],"genre_scores_gemma":[0.9972264,0.000106020125,0.00015431075,0.00019921627,0.00008863628,0.0000040227137,0.00015740258,0.000018291446,0.0020456417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926037,0.0003848237,0.0000546146,0.00009334314,0.000112006644,0.000094899384],"domain_scores_gemma":[0.960819,0.026882026,0.0077233203,0.0016696735,0.0011543302,0.0017516301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016452693,0.00019164187,0.00029810623,0.00043728793,0.00023100837,0.0017214082,0.00029638546,0.0013384497,0.012452345],"category_scores_gemma":[0.03583948,0.00016218369,0.00021231409,0.00034474177,0.00030935273,0.0015650324,0.00028033683,0.00085137854,0.0021182015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005311307,0.0024308404,0.89210254,0.0001812956,0.00055987283,0.00096608547,0.0016847039,0.002085015,0.013935579,0.0034179927,0.006158959,0.071165726],"study_design_scores_gemma":[0.0002590619,0.0009487009,0.96875215,0.00004710535,0.00042953584,0.0005463871,0.0011129609,0.011386127,0.003830361,0.009333965,0.0033129987,0.000040626015],"about_ca_topic_score_codex":0.0008490539,"about_ca_topic_score_gemma":0.0009850716,"teacher_disagreement_score":0.012452345,"about_ca_system_score_codex":0.00020251276,"about_ca_system_score_gemma":0.00016623682,"threshold_uncertainty_score":0.04165721},"labels":[],"label_agreement":null},{"id":"W1596588666","doi":"10.2139/ssrn.302066","title":"Rational Trend Followers and Contrarians in Excessively Volatile, Correlated Markets","year":2002,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Contrarian; Rational expectations; Economics; Stock (firearms); Microeconomics; Econometrics; Private information retrieval; Mathematical economics; Financial economics; Mathematics; Statistics","score_opus":0.016272071924866707,"score_gpt":0.20133456246638504,"score_spread":0.18506249054151833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596588666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841977,0.00010983768,0.012063322,0.0005747525,0.000017003405,0.000008489796,0.000023118717,0.00005046954,0.0029554802],"genre_scores_gemma":[0.9975132,0.00007641672,0.00065021025,0.000048393696,0.00003696409,0.000004290125,0.000014531781,0.0000067524875,0.0016493731],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973816,0.0000692044,0.000013147481,0.0000658636,0.000042407857,0.0000711955],"domain_scores_gemma":[0.99081415,0.0046868017,0.0026263574,0.0006448924,0.00029879017,0.0009289714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016975139,0.000214517,0.000747093,0.00064636744,0.0006255717,0.0022935083,0.0005046235,0.0013655338,0.0049843173],"category_scores_gemma":[0.013007507,0.0003518018,0.00031324115,0.00044925034,0.0012540383,0.0026034205,0.0007937522,0.0011648994,0.00036161573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021192867,0.00039210133,0.15877591,0.00019408378,0.00033993725,0.00496872,0.0034144628,0.055430688,0.013538196,0.6803945,0.008699344,0.07173283],"study_design_scores_gemma":[0.00031881107,0.0003356979,0.047725298,0.00002370892,0.00012684391,0.0012221271,0.0016233792,0.3835841,0.0017691569,0.5616205,0.0015799197,0.00007051557],"about_ca_topic_score_codex":0.00087917806,"about_ca_topic_score_gemma":0.0008416493,"teacher_disagreement_score":0.0049843173,"about_ca_system_score_codex":0.00026426077,"about_ca_system_score_gemma":0.00024114839,"threshold_uncertainty_score":0.01667422},"labels":[],"label_agreement":null},{"id":"W1598057726","doi":"10.2139/ssrn.2182819","title":"Trade Classification Algorithms: A Horse Race between the Bulk-Based and the Tick-Based Rules","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Race (biology); Horse; Tick; Computer science; Algorithm; Artificial intelligence; Biology; Ecology; Botany; Paleontology","score_opus":0.02724559403845564,"score_gpt":0.22551164321817668,"score_spread":0.19826604917972104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1598057726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03708331,0.024543779,0.8795474,0.03791668,0.0018461349,0.00026576116,0.00045039156,0.0021336037,0.016212828],"genre_scores_gemma":[0.41394228,0.017819252,0.53527397,0.011150232,0.006802866,0.0002930871,0.0012874561,0.001056036,0.012374764],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9924184,0.0033469084,0.0005680576,0.0011487724,0.00218911,0.00032866275],"domain_scores_gemma":[0.95170647,0.033134628,0.0009145817,0.006211698,0.006990774,0.0010418985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022724565,0.0017773176,0.0039310413,0.0032840534,0.001180115,0.009974529,0.005672339,0.00480371,0.004741139],"category_scores_gemma":[0.039644785,0.00088028406,0.0012710539,0.0028360079,0.003570816,0.015123679,0.0034825753,0.010932093,0.0046381503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037389118,0.00050159777,0.0057288175,0.00027819516,0.00024229467,0.000038324117,0.00029070835,0.014663884,0.0006223695,0.04982786,0.021807196,0.9056249],"study_design_scores_gemma":[0.00013354255,0.00049901276,0.0028905347,0.0004930707,0.00013682838,0.00030396882,0.00042403463,0.53357995,0.0016231356,0.4352653,0.0245213,0.00012936995],"about_ca_topic_score_codex":0.0025465435,"about_ca_topic_score_gemma":0.0024603829,"teacher_disagreement_score":0.022724565,"about_ca_system_score_codex":0.0010319051,"about_ca_system_score_gemma":0.0014833241,"threshold_uncertainty_score":0.12018043},"labels":[],"label_agreement":null},{"id":"W1599763735","doi":"10.1111/j.1468-0416.2010.00159.x","title":"Determinants of Investor Demand for Cross‐Listed Firms","year":2010,"lang":"en","type":"article","venue":"Financial Markets Institutions and Instruments","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Diversification (marketing strategy); Business; Stock (firearms); Stock exchange; Cross listing; Sample (material); Monetary economics; Financial economics; Finance; Economics; Corporate governance; Marketing","score_opus":0.03437792127663764,"score_gpt":0.2635642490274264,"score_spread":0.2291863277507888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599763735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99807644,0.00016910546,0.00009443758,0.00034661838,0.0000026918287,0.0000029255605,0.00022128977,0.000003245405,0.0010831504],"genre_scores_gemma":[0.9992705,0.000069587346,0.000019991336,0.000022011007,0.000009253208,0.0000011193889,0.0002119866,9.538296e-7,0.0003946302],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975103,0.00004744418,0.000024067975,0.0000373735,0.000057078716,0.00008304334],"domain_scores_gemma":[0.98706776,0.0052149706,0.0050795837,0.00034922006,0.00041625716,0.0018721385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005722735,0.00013494233,0.00020831803,0.0006833812,0.00031556262,0.0013480919,0.0002933527,0.0007283922,0.006062804],"category_scores_gemma":[0.0051479666,0.0001652527,0.0002324972,0.00065781287,0.00034689624,0.000605374,0.00047667237,0.00073040003,0.0005912763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007093959,0.000070878465,0.9957676,0.000006965589,0.000039794566,0.00013210256,0.000092296,0.00045036658,0.00039605077,0.00033012967,0.00024702566,0.0023958606],"study_design_scores_gemma":[0.000011571482,0.00004405024,0.99638486,0.00000831615,0.000014856872,0.0001479203,0.00048072846,0.001842455,0.00021335614,0.0004119542,0.0004328663,0.000007104597],"about_ca_topic_score_codex":0.012803193,"about_ca_topic_score_gemma":0.026765952,"teacher_disagreement_score":0.012803193,"about_ca_system_score_codex":0.00070988486,"about_ca_system_score_gemma":0.0003078182,"threshold_uncertainty_score":0.025457323},"labels":[],"label_agreement":null},{"id":"W1599922614","doi":"10.2139/ssrn.239048","title":"Where is the Efficient Frontier?","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Frontier; Economics; Geography; Archaeology","score_opus":0.00921747144385542,"score_gpt":0.18825333366969346,"score_spread":0.17903586222583803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599922614","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15663111,0.056843776,0.34808472,0.12248797,0.0016625356,0.00012400924,0.0023030918,0.00068393326,0.31117886],"genre_scores_gemma":[0.9469435,0.014654256,0.018787332,0.0014969808,0.0019960876,0.00008835165,0.000323738,0.00025127264,0.015458404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978998,0.0008786199,0.00013122859,0.0003976059,0.00030164063,0.00039106925],"domain_scores_gemma":[0.98735934,0.009488407,0.0011260542,0.0006593518,0.0007834792,0.0005833803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037219347,0.0007462224,0.0024486328,0.0023493795,0.0013163653,0.010693894,0.0016659477,0.004403916,0.023323322],"category_scores_gemma":[0.021738227,0.00076513697,0.00083844026,0.0022573746,0.004891147,0.019933349,0.0021742047,0.0046112877,0.0038420493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036641388,0.000040355837,0.00043402094,0.00018523454,0.00004717149,0.00010433802,0.00013179868,0.0034711312,0.0002292565,0.9648053,0.007745138,0.022769555],"study_design_scores_gemma":[0.000010975429,0.0000059549525,0.00032000695,0.000087769244,0.000011760396,0.00006438751,0.00017953245,0.004164781,0.000088790715,0.9916352,0.0034199306,0.000010884516],"about_ca_topic_score_codex":0.001758196,"about_ca_topic_score_gemma":0.0012706147,"teacher_disagreement_score":0.023323322,"about_ca_system_score_codex":0.0015541146,"about_ca_system_score_gemma":0.0017573101,"threshold_uncertainty_score":0.07802433},"labels":[],"label_agreement":null},{"id":"W1600765758","doi":"10.2139/ssrn.499329","title":"Modeling Asset Returns: A Comparison of Theoretical and Empirical Models","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Bureau de Coopération Interuniversitaire","funders":"","keywords":"Econometrics; Economics; Asset (computer security); Financial economics; Actuarial science; Computer science","score_opus":0.03921256616469531,"score_gpt":0.2716982361518509,"score_spread":0.23248566998715559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600765758","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21168607,0.008565899,0.7598386,0.0030744986,0.00010630287,0.0000842577,0.000276664,0.00038007193,0.01598768],"genre_scores_gemma":[0.9180713,0.008999492,0.06885426,0.00018537165,0.00031524178,0.00015005756,0.00023973298,0.0001014953,0.0030830905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922884,0.0004427279,0.000042232925,0.00008034558,0.00013344163,0.00007234913],"domain_scores_gemma":[0.9932922,0.0058165058,0.00033818738,0.00023188393,0.00022669279,0.00009453432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002923133,0.0010112051,0.0013843569,0.0012444165,0.0004338213,0.0035238303,0.0029278772,0.0027281204,0.0029158415],"category_scores_gemma":[0.012172945,0.00061377016,0.0009194958,0.002085214,0.001120989,0.0039661373,0.0008820939,0.0018883806,0.00043913512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039551276,0.00009516712,0.0025006535,0.00008804432,0.000049541846,0.000046192614,0.00008667907,0.90119964,0.00017485341,0.08108416,0.00042980292,0.014205665],"study_design_scores_gemma":[0.000010803326,0.0000090445255,0.00021753844,0.000009667356,0.000010134356,0.000014079582,0.000013794728,0.9826909,0.000038865444,0.016766615,0.00021433357,0.0000042574047],"about_ca_topic_score_codex":0.009154545,"about_ca_topic_score_gemma":0.004816223,"teacher_disagreement_score":0.009154545,"about_ca_system_score_codex":0.0013809412,"about_ca_system_score_gemma":0.0013144504,"threshold_uncertainty_score":0.018202543},"labels":[],"label_agreement":null},{"id":"W1602177912","doi":"10.3917/fina.291.0007","title":"Erreurs sur les variables et modèles d'évaluation des actifs financiers canadiens","year":2008,"lang":"fr","type":"article","venue":"Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec; Université Laval; Université du Québec à Montréal","funders":"","keywords":"Humanities; Philosophy; Mathematics; Political science","score_opus":0.08820117464061711,"score_gpt":0.22545849813750865,"score_spread":0.13725732349689154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602177912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7580221,0.009606067,0.1970842,0.0065838504,0.00022680266,0.00023964683,0.0048818514,0.00047756333,0.02287782],"genre_scores_gemma":[0.972058,0.0016111814,0.01574667,0.0001794913,0.000064981155,0.00015961514,0.0016519775,0.000044309916,0.008483717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99100447,0.0051329243,0.00046908457,0.001112567,0.0017704469,0.0005105192],"domain_scores_gemma":[0.9572176,0.034125876,0.0039726505,0.0017855866,0.0024958104,0.00040249332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0143444445,0.00096284534,0.0012784178,0.0032500173,0.0006839934,0.0041904636,0.001309123,0.0012298397,0.0057198345],"category_scores_gemma":[0.051110506,0.0005831565,0.0019365915,0.004148999,0.0012019422,0.0016111365,0.0012046966,0.002168245,0.0008359139],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000560554,0.00013012983,0.3727369,0.00036287616,0.0015485352,0.0004142844,0.0015386867,0.44845548,0.0006785324,0.070655316,0.0035405273,0.09937819],"study_design_scores_gemma":[0.00008153011,0.00038633693,0.31949532,0.00068925624,0.000754947,0.000265792,0.0016814215,0.578465,0.002510132,0.068711095,0.026759408,0.00019965594],"about_ca_topic_score_codex":0.13603759,"about_ca_topic_score_gemma":0.05496967,"teacher_disagreement_score":0.8639624,"about_ca_system_score_codex":0.005831769,"about_ca_system_score_gemma":0.0032091846,"threshold_uncertainty_score":0.27049154},"labels":[],"label_agreement":null},{"id":"W1602769334","doi":"10.3386/w17484","title":"Price Dividend Ratio Factors : Proxies for Long Run Risk","year":2011,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Dividend; Econometrics; Financial economics; Monetary economics; Finance","score_opus":0.39516078420047485,"score_gpt":0.4108490515891831,"score_spread":0.015688267388708266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602769334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9551563,0.00082435226,0.03880206,0.0002786411,0.000020013258,0.000036511818,0.0006902783,0.00031776927,0.0038740884],"genre_scores_gemma":[0.99302,0.00019589342,0.0058982177,0.000017739392,0.00003049028,0.0000107221895,0.00053243357,0.000021133943,0.00027328485],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890864,0.00047876322,0.00005005082,0.00017464372,0.0002736209,0.00011423918],"domain_scores_gemma":[0.97815555,0.015207305,0.003312383,0.0018778344,0.00093511265,0.0005118339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004562236,0.0010627466,0.00045939063,0.002282473,0.00021848921,0.0014858023,0.00087316305,0.0006886793,0.0022371153],"category_scores_gemma":[0.024419727,0.00019396849,0.00066422473,0.0024275226,0.000566705,0.0018944786,0.0008454806,0.0007796112,0.00066135195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051729294,0.00040717918,0.84919995,0.00008475185,0.00049452035,0.00024586896,0.0002093907,0.04733925,0.0018403752,0.012151263,0.0012147202,0.08629541],"study_design_scores_gemma":[0.000058467427,0.0005027545,0.47908965,0.000042701948,0.00022314386,0.0003590716,0.00018149531,0.4928333,0.0027693093,0.022849815,0.0010301039,0.000060236634],"about_ca_topic_score_codex":0.0028573899,"about_ca_topic_score_gemma":0.002254831,"teacher_disagreement_score":0.004562236,"about_ca_system_score_codex":0.0003830443,"about_ca_system_score_gemma":0.00037096522,"threshold_uncertainty_score":0.024127662},"labels":[],"label_agreement":null},{"id":"W1603033199","doi":"10.2139/ssrn.2035674","title":"Hedging Through a Limit Order Book with Varying Liquidity","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Limit (mathematics); Market liquidity; Order (exchange); Order book; Financial economics; Mathematical economics; Economics; Mathematics; Business; Econometrics; Monetary economics; Mathematical analysis; Finance","score_opus":0.02469243759495025,"score_gpt":0.21542646142323224,"score_spread":0.190734023828282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603033199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92428434,0.00089097716,0.06705864,0.0008774981,0.00007335758,0.000017383472,0.00012542828,0.0002483973,0.0064240205],"genre_scores_gemma":[0.99414515,0.00014728312,0.0020331934,0.000036224526,0.000024178235,0.000004629069,0.00003976202,0.000020332485,0.003549129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979204,0.000066452594,0.000013070939,0.00004687092,0.00003919414,0.000042389034],"domain_scores_gemma":[0.9928826,0.0051244576,0.00081448234,0.00031573183,0.00029664504,0.0005661308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014178022,0.00042157873,0.00091815466,0.00063584937,0.0004323468,0.0030479305,0.0010856672,0.0023124744,0.003870746],"category_scores_gemma":[0.010613674,0.00062052876,0.00045493414,0.0006193273,0.0011831068,0.004185371,0.000815425,0.0013054414,0.00022165442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007717578,0.00022906772,0.0054007145,0.00012385937,0.00009269588,0.0012185232,0.0002904236,0.7437579,0.009263748,0.22459777,0.0017961275,0.012457358],"study_design_scores_gemma":[0.000040700248,0.000058784743,0.0008211036,0.0000069635294,0.000015906333,0.000060608047,0.00001964076,0.9692356,0.00040075136,0.029196875,0.00012687386,0.00001627348],"about_ca_topic_score_codex":0.0019977526,"about_ca_topic_score_gemma":0.0012355602,"teacher_disagreement_score":0.003870746,"about_ca_system_score_codex":0.0010208416,"about_ca_system_score_gemma":0.00042567067,"threshold_uncertainty_score":0.01294899},"labels":[],"label_agreement":null},{"id":"W1604005274","doi":"10.1109/wswan.2015.7210311","title":"Performance appraisal of international equity mutual funds","year":2015,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; Concordia University; Brock University","funders":"","keywords":"Equity (law); Econometrics; Benchmark (surveying); Business; Sample (material); Accounting; Mutual fund; Actuarial science; Economics; Finance","score_opus":0.09684967447088871,"score_gpt":0.2858799733351389,"score_spread":0.1890302988642502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604005274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99488163,0.00043686433,0.00007853013,0.0001662513,0.0000038482513,0.000012687568,0.0010821393,0.000013619123,0.0033245187],"genre_scores_gemma":[0.99805343,0.00013752712,0.00006549839,0.000011075793,0.000010434176,0.0000038052276,0.0011289452,0.000002737621,0.00058655516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974371,0.0002316873,0.00015537078,0.0001941807,0.0014551072,0.00052640395],"domain_scores_gemma":[0.98854035,0.00091706816,0.0052150963,0.0003010006,0.00399707,0.0010293283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023765133,0.00030031786,0.0002824003,0.004881267,0.00057149376,0.0012229135,0.0005734275,0.00025888387,0.00079688523],"category_scores_gemma":[0.015302078,0.000091241505,0.0002080459,0.0044797533,0.00046009687,0.0006919302,0.0008493771,0.0002821995,0.00021307702],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013146643,0.000035053148,0.9695041,0.000042277046,0.000046632613,0.00011980434,0.001216904,0.0014995491,0.0003709679,0.0009880643,0.002809938,0.023235222],"study_design_scores_gemma":[0.0000023468103,0.000025297813,0.99649626,0.000010248434,0.000010192341,0.000040675575,0.00039790166,0.0007129447,0.00024431426,0.000051475905,0.0019994192,0.000008907144],"about_ca_topic_score_codex":0.42200097,"about_ca_topic_score_gemma":0.48878932,"teacher_disagreement_score":0.42200097,"about_ca_system_score_codex":0.008315122,"about_ca_system_score_gemma":0.0040255953,"threshold_uncertainty_score":0.8390893},"labels":[],"label_agreement":null},{"id":"W1604086773","doi":"10.2139/ssrn.676997","title":"How Inefficient are Simple Asset-Allocation Strategies?","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Simple (philosophy); Asset allocation; Computer science; Economics; Business; Microeconomics; Financial economics; Portfolio","score_opus":0.016383601898686383,"score_gpt":0.2124970398933874,"score_spread":0.19611343799470102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604086773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7163708,0.0022879995,0.18568142,0.016735755,0.00031669295,0.000176315,0.0005658985,0.0003841637,0.07748092],"genre_scores_gemma":[0.9755636,0.0011407575,0.017198177,0.00078766333,0.00016513807,0.00009989992,0.00013592662,0.00008677826,0.0048220577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99537283,0.002373896,0.0003969188,0.00049982866,0.00085214723,0.0005043764],"domain_scores_gemma":[0.96140087,0.026063517,0.005298244,0.003825404,0.0025475726,0.0008643798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008755228,0.000731219,0.001419257,0.0015214201,0.00068750215,0.0058676605,0.0013301369,0.003372818,0.006314311],"category_scores_gemma":[0.064262755,0.0006120425,0.0006578661,0.0015229653,0.0026100334,0.010709342,0.0013822195,0.0014075286,0.00151544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046190855,0.00041146812,0.021777991,0.00041769177,0.0006843109,0.00024686026,0.0005668518,0.073389105,0.0024340989,0.7158648,0.011614029,0.17213081],"study_design_scores_gemma":[0.000069066315,0.00007854674,0.004004688,0.000041934523,0.000101267266,0.00019358344,0.00046457502,0.06524597,0.0009699205,0.92625225,0.0025468643,0.000031413736],"about_ca_topic_score_codex":0.0009989139,"about_ca_topic_score_gemma":0.0011356431,"teacher_disagreement_score":0.008755228,"about_ca_system_score_codex":0.0011965563,"about_ca_system_score_gemma":0.0013103618,"threshold_uncertainty_score":0.046302617},"labels":[],"label_agreement":null},{"id":"W1604481432","doi":"10.2139/ssrn.2022575","title":"Disclosure and Efficiency in Noise-Driven Markets","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Noise (video); Business; Economics; Computer science; Artificial intelligence","score_opus":0.011539924485159262,"score_gpt":0.20218053276432674,"score_spread":0.19064060827916748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604481432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8817693,0.0014173861,0.10340556,0.002921712,0.0000400131,0.00005456134,0.00017903117,0.00015121004,0.010061197],"genre_scores_gemma":[0.9955629,0.00023968214,0.001987106,0.00010287456,0.000047840018,0.00001083029,0.000049956547,0.000015780988,0.00198298],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99709034,0.0015838307,0.00020149132,0.00035909982,0.00038380202,0.00038145788],"domain_scores_gemma":[0.8515907,0.12447061,0.013942994,0.0058874176,0.0026116003,0.0014966041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009553527,0.00042908514,0.0017590533,0.0011406379,0.00062633445,0.0042146593,0.0012008665,0.0024303105,0.0041065696],"category_scores_gemma":[0.07955905,0.00059550325,0.00066439604,0.0008761324,0.0027047396,0.006014755,0.0015972211,0.0015364503,0.0004369048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011641445,0.00046226426,0.028219948,0.00027131315,0.00029528467,0.00061856763,0.0008791661,0.20641991,0.0032526492,0.7235263,0.003599263,0.03129117],"study_design_scores_gemma":[0.00019513788,0.00016791002,0.009322722,0.00003670461,0.000064957094,0.00034666157,0.00025791198,0.33097285,0.0013724258,0.6565007,0.0007079524,0.00005394832],"about_ca_topic_score_codex":0.00071793806,"about_ca_topic_score_gemma":0.00044454797,"teacher_disagreement_score":0.009553527,"about_ca_system_score_codex":0.0008617284,"about_ca_system_score_gemma":0.000882455,"threshold_uncertainty_score":0.050524473},"labels":[],"label_agreement":null},{"id":"W1605150357","doi":"10.2139/ssrn.996924","title":"Required Line of Business Reporting and Share Price Accuracy","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Line (geometry); Accounting; Mathematics","score_opus":0.03550274166864499,"score_gpt":0.25316509846364094,"score_spread":0.21766235679499596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605150357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8241013,0.001632368,0.04522039,0.010573771,0.0013437695,0.00036119638,0.038768116,0.0029572616,0.07504195],"genre_scores_gemma":[0.9765512,0.00027082345,0.0046734465,0.00038105418,0.0005238312,0.00006650562,0.009070359,0.00023614838,0.008226639],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.98094374,0.0051709106,0.0042046467,0.0017733439,0.006602021,0.0013053647],"domain_scores_gemma":[0.44519892,0.24610695,0.13736346,0.07024826,0.097215526,0.0038669533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01850914,0.00049686973,0.00078061287,0.004388872,0.00079251954,0.0060753566,0.0027105645,0.0025752357,0.030947275],"category_scores_gemma":[0.30201083,0.0004755523,0.0005550343,0.004788627,0.0004977223,0.006264201,0.0013087484,0.001975116,0.014935147],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003456835,0.00079647335,0.796513,0.00040540245,0.00027163702,0.0009643833,0.0007827143,0.009105094,0.0046622795,0.020489022,0.0377719,0.124781296],"study_design_scores_gemma":[0.00040900992,0.0011060764,0.7945469,0.0003481144,0.00046478398,0.004714889,0.0016070587,0.084505744,0.032523785,0.03675687,0.042718135,0.0002986815],"about_ca_topic_score_codex":0.004082267,"about_ca_topic_score_gemma":0.002097661,"teacher_disagreement_score":0.030947275,"about_ca_system_score_codex":0.0015985736,"about_ca_system_score_gemma":0.0012721367,"threshold_uncertainty_score":0.10352892},"labels":[],"label_agreement":null},{"id":"W1605290931","doi":"10.2139/ssrn.968672","title":"The Dynamic Volume-Return Relationship of Individual Stocks: The International Evidence","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Volume (thermodynamics); Econometrics; Economics; Business; Financial economics","score_opus":0.021163644463193205,"score_gpt":0.22608274409642018,"score_spread":0.20491909963322696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605290931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95862114,0.011322273,0.0014706762,0.0015674958,0.000052069834,0.000015462021,0.0012580302,0.000033131768,0.025659667],"genre_scores_gemma":[0.99156696,0.0056338757,0.00029952233,0.00016774861,0.00018860557,0.000004329065,0.000986495,0.00001930691,0.0011330697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994311,0.00008266945,0.000066743,0.00017769964,0.00016036074,0.000081440965],"domain_scores_gemma":[0.9805269,0.008642406,0.0075519057,0.00152293,0.0010676011,0.00068815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015272064,0.00033457254,0.00067795394,0.0027305072,0.00032530836,0.0039573917,0.0008602484,0.0012572471,0.0056381384],"category_scores_gemma":[0.0121901585,0.0003657242,0.00055017305,0.0041917213,0.0013626161,0.0044712443,0.0011597296,0.0014127675,0.0010272098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008026884,0.00021755669,0.9177768,0.00021016214,0.00071430893,0.00036786942,0.00064841623,0.0024425858,0.0014391342,0.011210773,0.0013408228,0.06282887],"study_design_scores_gemma":[0.000049008635,0.00023472784,0.97592485,0.000098100274,0.00032226855,0.000652237,0.00045909206,0.0016843599,0.0010012757,0.012689074,0.006842458,0.00004251051],"about_ca_topic_score_codex":0.0037850782,"about_ca_topic_score_gemma":0.0038910783,"teacher_disagreement_score":0.0056381384,"about_ca_system_score_codex":0.00051161624,"about_ca_system_score_gemma":0.00031655186,"threshold_uncertainty_score":0.018861473},"labels":[],"label_agreement":null},{"id":"W1607568168","doi":"10.2139/ssrn.1999041","title":"Bubbles and Experience: An Experiment with a Steady Inflow of New Traders","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Inflow; Economics; Econometrics; Environmental science; Geography; Meteorology","score_opus":0.028026846015421814,"score_gpt":0.23418913118245355,"score_spread":0.20616228516703172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607568168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967409,0.000043940425,0.00065207615,0.00035021172,0.00008400781,0.00009559662,0.00010180585,0.000037766724,0.0018936112],"genre_scores_gemma":[0.9955343,0.00006962313,0.0010279192,0.00025977928,0.000097204604,0.00023994762,0.00017118268,0.000028701965,0.0025713167],"study_design_codex":"nonrandomized_trial","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986909,0.00045634198,0.00012034797,0.00027261017,0.000204645,0.00025514406],"domain_scores_gemma":[0.9762926,0.016948124,0.0011200225,0.0016712385,0.00054804067,0.0034198707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033068056,0.0005048946,0.0011269179,0.0005492226,0.0011868966,0.0029143211,0.0011107123,0.003258239,0.00901771],"category_scores_gemma":[0.01762781,0.0006506906,0.00041926606,0.00050827954,0.0017839931,0.0031747345,0.0025892411,0.0028408978,0.0010218595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.14917637,0.31455117,0.09316092,0.002354365,0.0012166993,0.0063529955,0.06238958,0.019294145,0.1642748,0.048574604,0.017293971,0.1213603],"study_design_scores_gemma":[0.089311406,0.31530455,0.16792208,0.00072697917,0.0027810284,0.0031481623,0.03525557,0.16503422,0.073361695,0.10612782,0.039482906,0.0015436165],"about_ca_topic_score_codex":0.001084837,"about_ca_topic_score_gemma":0.0009682328,"teacher_disagreement_score":0.00901771,"about_ca_system_score_codex":0.00033810578,"about_ca_system_score_gemma":0.0006760045,"threshold_uncertainty_score":0.030167222},"labels":[],"label_agreement":null},{"id":"W1607759369","doi":"10.2139/ssrn.391573","title":"Index Participation Units and the Structure of Equity Market Demand: Evidence from New Issues and Redemptions of SPDRs","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Equity (law); Index (typography); Business; Financial economics; Monetary economics; Economics; Political science; Law","score_opus":0.03614248382089795,"score_gpt":0.264902820053448,"score_spread":0.22876033623255004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607759369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943386,0.000073167874,0.0002852858,0.0001403577,0.0000037492846,0.000016117761,0.00032381326,0.000009488491,0.004809391],"genre_scores_gemma":[0.99759537,0.00005100351,0.00010059681,0.000021818332,0.000020463282,0.000011063997,0.00045519735,0.0000063677066,0.0017381014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987092,0.0003805664,0.0001295634,0.00017440716,0.000410835,0.00019548328],"domain_scores_gemma":[0.96000123,0.019412557,0.012873276,0.002372621,0.0023012685,0.0030390944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026153391,0.00015931274,0.00042976896,0.001339965,0.0005437593,0.0023827269,0.00096488546,0.0006736401,0.009056445],"category_scores_gemma":[0.023597974,0.00026594437,0.00018531954,0.0015667657,0.0007246928,0.0019130381,0.0012318346,0.0009800195,0.0013928269],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030553378,0.0011862261,0.9172853,0.000085022504,0.00011970695,0.0003423621,0.0038480859,0.0025330328,0.004689956,0.0105514005,0.002855504,0.053447984],"study_design_scores_gemma":[0.00008705953,0.00048826402,0.98512065,0.00001266638,0.000028137794,0.00013112955,0.0017132433,0.00370186,0.0009090587,0.003805151,0.003985517,0.000017185826],"about_ca_topic_score_codex":0.0030383088,"about_ca_topic_score_gemma":0.003861799,"teacher_disagreement_score":0.009056445,"about_ca_system_score_codex":0.0006849631,"about_ca_system_score_gemma":0.00032395433,"threshold_uncertainty_score":0.030296862},"labels":[],"label_agreement":null},{"id":"W1608895298","doi":"10.2139/ssrn.476281","title":"Firm-Specific News, Extended-Hours Trading, and Variances over Trading and Nontrading Periods","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"High-frequency trading; Pairs trade; Business; Algorithmic trading; Econometrics; Trading strategy; Alternative trading system; Financial economics; Economics","score_opus":0.017433400798133367,"score_gpt":0.20983264353307152,"score_spread":0.19239924273493814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608895298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971679,0.00048016844,0.0005228633,0.0001757929,0.000021531645,0.0000050724548,0.00059767754,0.000018381439,0.001010641],"genre_scores_gemma":[0.9980021,0.0001842775,0.000053061693,0.000017452641,0.00006659923,0.0000031543498,0.0007414848,0.0000094865745,0.00092243246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931335,0.00010724347,0.00007598394,0.00017986934,0.000111395035,0.00021213866],"domain_scores_gemma":[0.9290937,0.05147556,0.012863139,0.0020337568,0.0012646117,0.00326912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002863626,0.0003734519,0.0008771047,0.0012070001,0.00038392792,0.0031202368,0.0008187173,0.0016123694,0.006581932],"category_scores_gemma":[0.025717419,0.00042031828,0.0007113073,0.0018336445,0.00072762696,0.0022564598,0.00082069973,0.0018370732,0.0008901924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003743868,0.00038078535,0.96306014,0.00006676866,0.00071715604,0.0007626009,0.0005687006,0.012414239,0.0020184072,0.0027578531,0.0010131791,0.012496288],"study_design_scores_gemma":[0.000042723943,0.00024774318,0.97886425,0.000017771441,0.00026032486,0.000274679,0.0004004033,0.015673839,0.00054566876,0.0032083245,0.0004209514,0.000043454686],"about_ca_topic_score_codex":0.004250068,"about_ca_topic_score_gemma":0.006548295,"teacher_disagreement_score":0.006581932,"about_ca_system_score_codex":0.00048645659,"about_ca_system_score_gemma":0.0002665991,"threshold_uncertainty_score":0.02201873},"labels":[],"label_agreement":null},{"id":"W1617539290","doi":"10.2139/ssrn.1734981","title":"An Investigation of Returns to Insider Transactions: Evidence from the Istanbul Stock Exchange","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Business; Insider trading; Insider; Stock exchange; Stock (firearms); Monetary economics; Financial economics; Accounting; Financial system; Finance; Economics; Geography; Political science; Law","score_opus":0.03197478069316153,"score_gpt":0.2389681815243286,"score_spread":0.20699340083116707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1617539290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99763787,0.000491972,0.000041828607,0.00010823245,0.000007219974,0.0000056082695,0.0006171906,0.0000034440152,0.0010866706],"genre_scores_gemma":[0.9967174,0.00059201644,0.00006843546,0.000033424076,0.000043677435,0.000005274625,0.0019447939,0.0000070116675,0.0005879059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992011,0.000185925,0.000103794875,0.00012563063,0.00024907553,0.00013451836],"domain_scores_gemma":[0.992358,0.0031148803,0.0026127684,0.000543231,0.00088247994,0.0004886448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013084244,0.00039084413,0.00037174195,0.0028790708,0.0004823072,0.0013533636,0.00059211004,0.0008752526,0.0028869114],"category_scores_gemma":[0.0042358595,0.00020906024,0.00035066568,0.0026384648,0.00056106574,0.0011599638,0.00096825854,0.0006979892,0.0009055363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010596846,0.0006141605,0.97174186,0.00013662611,0.00030349806,0.0013016474,0.0013528616,0.00068266614,0.0014638108,0.001045075,0.002175743,0.018122403],"study_design_scores_gemma":[0.000036482266,0.0001336946,0.9952107,0.000033550914,0.00008764303,0.00032478725,0.0009067814,0.0007149632,0.0004432141,0.00012449056,0.0019678643,0.000015903017],"about_ca_topic_score_codex":0.010478679,"about_ca_topic_score_gemma":0.010371944,"teacher_disagreement_score":0.010478679,"about_ca_system_score_codex":0.0005316969,"about_ca_system_score_gemma":0.00037231937,"threshold_uncertainty_score":0.02083534},"labels":[],"label_agreement":null},{"id":"W1626718209","doi":"10.5539/jmr.v7n3p198","title":"Dynamic Selection of Optimal Sub-portfolio - Application in the Regional Stock Exchange of Securities in West Africa (BRVM)","year":2015,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Portfolio; Stock exchange; Econometrics; Stock (firearms); Selection (genetic algorithm); Constraint (computer-aided design); Economics; Replicating portfolio; Project portfolio management; Limiting; Portfolio optimization; Mathematics; Financial economics; Computer science; Finance; Geography","score_opus":0.16088731244479904,"score_gpt":0.33208780041053976,"score_spread":0.17120048796574072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1626718209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9236506,0.00035836827,0.07332499,0.00018730527,0.0000082057795,0.00004156522,0.00008323647,0.00004542728,0.0023001258],"genre_scores_gemma":[0.98890483,0.000090112946,0.01059103,0.000012939753,0.0000033132765,0.000013976713,0.00006521324,0.000007838259,0.0003107339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992872,0.00037531255,0.0000320369,0.000099994,0.0001050107,0.000100424724],"domain_scores_gemma":[0.9974842,0.0015825686,0.00047729106,0.00015531872,0.00017893517,0.000121581885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002459923,0.0003975806,0.0006796498,0.00058733387,0.0002531624,0.0010501882,0.0004258604,0.0004396677,0.00085010787],"category_scores_gemma":[0.010739412,0.00022861762,0.0002960395,0.0004867307,0.00043668682,0.001180823,0.0007851959,0.000476361,0.00008822036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004681374,0.00015098085,0.042056117,0.00013396791,0.00014039408,0.00064441224,0.00031706167,0.8497235,0.0060667256,0.031388614,0.0006927146,0.068217315],"study_design_scores_gemma":[0.00003219607,0.00021648519,0.0177846,0.000027856335,0.000031627133,0.00015547525,0.0002224569,0.96042484,0.0040045413,0.015934821,0.0011429671,0.000022031845],"about_ca_topic_score_codex":0.0023834808,"about_ca_topic_score_gemma":0.0016623782,"teacher_disagreement_score":0.002459923,"about_ca_system_score_codex":0.0006865357,"about_ca_system_score_gemma":0.0005731557,"threshold_uncertainty_score":0.013009489},"labels":[],"label_agreement":null},{"id":"W1643771855","doi":"10.2139/ssrn.929858","title":"Financial Contagion and Attention Allocation","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Financial contagion; Business; Financial system; Economics; Finance; Monetary economics; Financial market","score_opus":0.008636849988543846,"score_gpt":0.18612579363167536,"score_spread":0.1774889436431315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1643771855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9578803,0.002456734,0.012495198,0.0039874674,0.00008583066,0.000027049728,0.00007371667,0.00004107488,0.02295266],"genre_scores_gemma":[0.9965892,0.00033336104,0.00034286364,0.00011547412,0.000072519775,0.0000069975267,0.000019546727,0.000005380315,0.0025146718],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946624,0.00018934652,0.000029391618,0.000091736634,0.000054779382,0.0001684094],"domain_scores_gemma":[0.9862324,0.010021917,0.0016623777,0.00052487175,0.00060807855,0.000950329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016923735,0.0003257537,0.00066030206,0.00097283773,0.00062925403,0.0026991873,0.0007036599,0.0021633932,0.012970729],"category_scores_gemma":[0.020820841,0.0003453235,0.0004038862,0.00093099975,0.0014395851,0.0032364724,0.0012157764,0.0013962387,0.0005240973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021714198,0.0008055587,0.17770405,0.00037775657,0.0008918495,0.002213612,0.0033463356,0.059404664,0.008197178,0.6010076,0.008609966,0.13526997],"study_design_scores_gemma":[0.00021914607,0.00024821705,0.14777584,0.00006365034,0.00036330512,0.00061944616,0.0015681818,0.122879565,0.0009240078,0.7225411,0.002728973,0.00006855032],"about_ca_topic_score_codex":0.006238169,"about_ca_topic_score_gemma":0.00441257,"teacher_disagreement_score":0.012970729,"about_ca_system_score_codex":0.0014739725,"about_ca_system_score_gemma":0.0004901815,"threshold_uncertainty_score":0.043391347},"labels":[],"label_agreement":null},{"id":"W1647657624","doi":"10.1108/s1569-373220140000017006","title":"Institutional Investors’ Trading Behavior in Mergers and Acquisitions","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Institutional investor; Mergers and acquisitions; Stock (firearms); Cash; Monetary economics; Cash flow; Preference; Stock market; Quarter (Canadian coin); Investment decisions; Finance; Economics; Behavioral economics; Corporate governance; Microeconomics","score_opus":0.04634312987770291,"score_gpt":0.21159118525076,"score_spread":0.1652480553730571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1647657624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966792,0.00027189346,0.00019883143,0.00008423751,0.0000029354624,0.000004214945,0.00007554847,0.0000053282865,0.0026778171],"genre_scores_gemma":[0.99917245,0.00009284435,0.00007475857,0.000011806131,0.000008878905,0.0000012173645,0.00007735782,9.693484e-7,0.0005596767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997758,0.000060219965,0.000015944914,0.000035475474,0.00007636236,0.00003610713],"domain_scores_gemma":[0.99526525,0.0013904511,0.002791527,0.00012051979,0.00020020032,0.00023217087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007899454,0.000080249,0.000116917334,0.0004398115,0.00016377596,0.0008153745,0.00017141129,0.00025538768,0.0016596935],"category_scores_gemma":[0.0038800822,0.00006113004,0.000106203704,0.00061177014,0.00019361355,0.0005060491,0.00022680212,0.00025805956,0.00022523395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026161107,0.000118194665,0.966655,0.000025661528,0.00007653055,0.0002676202,0.00058261846,0.0016253416,0.0017955326,0.0017962708,0.00069391035,0.026101606],"study_design_scores_gemma":[0.0000069995467,0.00010038956,0.9917583,0.000015350803,0.000029883693,0.0001472329,0.0004007747,0.00434497,0.00089421135,0.0008856577,0.0014047379,0.000011464087],"about_ca_topic_score_codex":0.0019259435,"about_ca_topic_score_gemma":0.0034139792,"teacher_disagreement_score":0.0019259435,"about_ca_system_score_codex":0.0004521053,"about_ca_system_score_gemma":0.00012795339,"threshold_uncertainty_score":0.0055522323},"labels":[],"label_agreement":null},{"id":"W1648085751","doi":"10.2139/ssrn.1931105","title":"Leverage and the Limits of Arbitrage Pricing: Implications for Dividend Strips and the Term Structure of Equity Risk Premia","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Leverage (statistics); Limits to arbitrage; Financial economics; Equity (law); Dividend; Risk premium; Arbitrage; Business; Monetary economics; Term (time); Economics; Finance","score_opus":0.028886720151081492,"score_gpt":0.25291223009708147,"score_spread":0.22402550994599998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1648085751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87932664,0.0048668142,0.079598434,0.0074431123,0.00010598774,0.000022394539,0.0002609817,0.00013984246,0.028235812],"genre_scores_gemma":[0.9969669,0.00051699125,0.0011405007,0.00007108575,0.00014487408,0.000008691316,0.000036137295,0.000019931955,0.0010949506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99930847,0.00023004165,0.00005157024,0.00014066913,0.00012950202,0.00013968961],"domain_scores_gemma":[0.97735256,0.015890146,0.0031061007,0.0014318132,0.00079540256,0.0014239575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031212396,0.0004662488,0.0010008953,0.0011768389,0.00080889673,0.0064371964,0.0014940789,0.0021091427,0.005519216],"category_scores_gemma":[0.037491582,0.0006597567,0.0005972198,0.0010260766,0.003674989,0.010285359,0.0025252264,0.0035181236,0.00038037865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025746957,0.00011361742,0.01284752,0.00007218245,0.000059351256,0.00054007146,0.0005006168,0.020854186,0.0030922478,0.9430362,0.0011344663,0.01749205],"study_design_scores_gemma":[0.00003840486,0.000036951384,0.010208571,0.000033189506,0.000029993827,0.00017558654,0.00015700152,0.059954133,0.0004182561,0.9281282,0.0007797147,0.00003999373],"about_ca_topic_score_codex":0.0016754679,"about_ca_topic_score_gemma":0.0012662786,"teacher_disagreement_score":0.0064371964,"about_ca_system_score_codex":0.00068215077,"about_ca_system_score_gemma":0.00065272354,"threshold_uncertainty_score":0.018463612},"labels":[],"label_agreement":null},{"id":"W1653597906","doi":"10.2139/ssrn.2419394","title":"Persistent Doubt: An Examination of the Performance of Hedge Funds","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Hedge fund; Business; Actuarial science; Financial economics; Economics; Accounting; Monetary economics; Financial system; Finance","score_opus":0.016402682885010154,"score_gpt":0.19171265478884073,"score_spread":0.17530997190383057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1653597906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919573,0.0005113292,0.0002522329,0.00083813764,0.0000134360025,0.0000093764065,0.00008078556,0.000016891236,0.0063205254],"genre_scores_gemma":[0.99939895,0.00009566179,0.000042640157,0.000045532935,0.00001694514,0.0000014037214,0.000048590908,0.000003688866,0.0003465731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982645,0.00045728614,0.00016384802,0.00014415229,0.00068271114,0.00028753257],"domain_scores_gemma":[0.9588755,0.019942632,0.0125904465,0.0022869592,0.0036116312,0.002692873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064178715,0.00018435394,0.0004709254,0.0014410088,0.00052990735,0.0033363316,0.0009389865,0.0017116658,0.00187664],"category_scores_gemma":[0.054217294,0.000115839124,0.00023426018,0.0017379359,0.0012880143,0.0025313955,0.0017881383,0.0011882575,0.00026855813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007159603,0.0006561289,0.76423204,0.00034997246,0.0004443411,0.0017197111,0.0071177376,0.010964628,0.007130099,0.06408146,0.0069035855,0.12924066],"study_design_scores_gemma":[0.000327416,0.004096408,0.8741047,0.00019574112,0.00029572943,0.0012398266,0.010507617,0.029330887,0.006461287,0.060097642,0.013199982,0.00014260119],"about_ca_topic_score_codex":0.0023574638,"about_ca_topic_score_gemma":0.0017810244,"teacher_disagreement_score":0.0064178715,"about_ca_system_score_codex":0.0011139283,"about_ca_system_score_gemma":0.00087131094,"threshold_uncertainty_score":0.03394133},"labels":[],"label_agreement":null},{"id":"W1657874759","doi":"","title":"The Global Financial Crisis and the Performance of Target-Date Funds in the United States","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Toronto","funders":"","keywords":"Business; Global assets under management; Equity (law); Finance; Financial crisis; Federal funds; Stock market crash; Stable value fund; Passive management; Stock (firearms); Market timing; Fund of funds; Crash; Stock market; Monetary economics; Financial system; Institutional investor; Economics; Initial public offering; Market liquidity; Corporate governance; Monetary policy","score_opus":0.015259578721421809,"score_gpt":0.19678448072780166,"score_spread":0.18152490200637986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1657874759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967848,0.00049333996,0.000039139093,0.00034256518,0.000015251922,0.000002399653,0.0007185848,0.0000062909207,0.001597581],"genre_scores_gemma":[0.99821055,0.00033212302,0.000030370184,0.00008921936,0.000016781209,0.0000030934718,0.00094006886,0.0000035386354,0.0003742598],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997718,0.00004620849,0.000021981532,0.000029807996,0.0000456989,0.00008461323],"domain_scores_gemma":[0.997891,0.00021925154,0.0012759494,0.000062197614,0.00030244334,0.00024918537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071774214,0.00024530655,0.00024797913,0.0011425953,0.00032337822,0.0018346066,0.00022023563,0.0006441695,0.0013919922],"category_scores_gemma":[0.0024704293,0.000112400005,0.000224414,0.0015472657,0.00040372467,0.00082643086,0.0009260468,0.0006308537,0.00029463222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027233188,0.00009585054,0.9839197,0.000017863427,0.000074681164,0.0001810839,0.00036189007,0.0022262498,0.00018136234,0.0007085734,0.004378442,0.0075820484],"study_design_scores_gemma":[0.00001713114,0.00009319827,0.99320775,0.000035760484,0.00004459037,0.00013607086,0.000997785,0.0019569169,0.0003352494,0.00031499178,0.0028433576,0.000017188742],"about_ca_topic_score_codex":0.029936315,"about_ca_topic_score_gemma":0.047351014,"teacher_disagreement_score":0.029936315,"about_ca_system_score_codex":0.0009957781,"about_ca_system_score_gemma":0.0004961504,"threshold_uncertainty_score":0.05952412},"labels":[],"label_agreement":null},{"id":"W1671215728","doi":"10.2139/ssrn.1439044","title":"Dynamic Corporate Capital Stocks: Cross-sectional and Inter-temporal Stock Return Patterns","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Stock (firearms); Business; Econometrics; Financial economics; Economics; Geography","score_opus":0.02008956408661409,"score_gpt":0.23234760586091482,"score_spread":0.21225804177430074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1671215728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976895,0.00023550587,0.00038287087,0.000077828496,0.000004902025,0.0000036611746,0.00078843377,0.000008485771,0.0008088323],"genre_scores_gemma":[0.9983889,0.00010292718,0.000101279846,0.0000126863715,0.0000076237116,0.0000028578722,0.00083897513,0.000004079052,0.00054064393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998418,0.000021002797,0.000022814655,0.000050481016,0.00003550164,0.000028352464],"domain_scores_gemma":[0.9976648,0.0008121045,0.0008371626,0.00022974082,0.0002649013,0.00019136272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069941545,0.0001599374,0.00021845318,0.0010257751,0.000116900046,0.0010593806,0.00026910048,0.0005083842,0.0036790487],"category_scores_gemma":[0.0039155674,0.0002364014,0.00026572158,0.0013921984,0.00018133699,0.0009183987,0.00048274573,0.00035375866,0.00080592505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016579095,0.000065490625,0.9863381,0.00001650861,0.00014618531,0.00013950617,0.00016691799,0.0013205893,0.0021084973,0.0006625178,0.00056086894,0.008308987],"study_design_scores_gemma":[0.000003609242,0.000027508631,0.99513406,0.0000053326594,0.00003294739,0.00024637295,0.00012567417,0.0032622511,0.0002483178,0.0004800252,0.00042653503,0.000007360038],"about_ca_topic_score_codex":0.0015637327,"about_ca_topic_score_gemma":0.00316818,"teacher_disagreement_score":0.0036790487,"about_ca_system_score_codex":0.00020742454,"about_ca_system_score_gemma":0.00010143494,"threshold_uncertainty_score":0.012307584},"labels":[],"label_agreement":null},{"id":"W17030366","doi":"10.1016/j.ceca.2006.09.002","title":"LINEAR PERFORMANCE MEASUREMENT MODELS AND FUND CHARACTERISTICS","year":2003,"lang":"en","type":"article","venue":"Cell Calcium","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Econometrics; Economics; Portfolio; Mutual fund; Equity (law); Target date fund; Actuarial science; Financial economics; Finance; Open-end fund; Institutional investor","score_opus":0.13059041819810643,"score_gpt":0.224823793176867,"score_spread":0.09423337497876055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W17030366","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02956203,0.0015572348,0.9449338,0.0023614578,0.00012981739,0.00011855356,0.001044342,0.00088725,0.019405529],"genre_scores_gemma":[0.9046053,0.0020350048,0.05439132,0.0003903229,0.00027046443,0.00047753582,0.001797525,0.00039030614,0.03564215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964844,0.0013735477,0.00015227267,0.00077633845,0.0005496172,0.0006637848],"domain_scores_gemma":[0.97824144,0.015891429,0.0018976664,0.0011338347,0.0024016039,0.0004340077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006776186,0.0019540119,0.001875431,0.002076635,0.0007004971,0.0034328976,0.0023403584,0.0030110963,0.016159588],"category_scores_gemma":[0.03805612,0.0008254404,0.0011261941,0.0024838676,0.0018468711,0.0044437153,0.0022504828,0.0024151155,0.003456993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019221571,0.00008418354,0.0050012567,0.00016043936,0.00011666045,0.00018949718,0.00018749964,0.7200945,0.00042659117,0.2114102,0.005755609,0.056381345],"study_design_scores_gemma":[0.000014223298,0.000028177576,0.0007829065,0.000024011762,0.000018625415,0.000053888765,0.000039425715,0.90953493,0.00011574443,0.08733715,0.0020330418,0.000018002476],"about_ca_topic_score_codex":0.0106963655,"about_ca_topic_score_gemma":0.004652446,"teacher_disagreement_score":0.016159588,"about_ca_system_score_codex":0.0034742912,"about_ca_system_score_gemma":0.0014938661,"threshold_uncertainty_score":0.054059207},"labels":[],"label_agreement":null},{"id":"W1704920053","doi":"","title":"Common Risk Factors in Explaining Canadian Equity Returns","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Explanatory power; Equity (law); Equity risk; Economics; Financial economics; Equity capital markets; Stock (firearms); Common stock; Bond; Stock market; Excess return; Business; Econometrics; Finance; Private equity; Geography","score_opus":0.08476073385499706,"score_gpt":0.31122478565027567,"score_spread":0.22646405179527862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1704920053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8835954,0.011550508,0.026292099,0.0072423923,0.0002786797,0.00030411282,0.009570408,0.0005639765,0.06060236],"genre_scores_gemma":[0.9848055,0.0027231441,0.0030745158,0.00018048834,0.000080510035,0.000028205783,0.0016445919,0.00004727266,0.0074157054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985262,0.000114076574,0.000059766582,0.00022431382,0.000477645,0.0005979064],"domain_scores_gemma":[0.99573815,0.0011231009,0.00082932756,0.000313039,0.0014787033,0.0005177344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022633495,0.0013084629,0.00082261243,0.0048829764,0.0027163,0.003146344,0.0011840842,0.0011067352,0.006120173],"category_scores_gemma":[0.012985816,0.00041553754,0.0019556605,0.0054873955,0.0014532356,0.0015292277,0.00150613,0.0017512093,0.00049814564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002510847,0.0000819839,0.6868656,0.0002638738,0.00067579345,0.001180276,0.0024273393,0.0610768,0.0009891468,0.12468294,0.01275263,0.10875256],"study_design_scores_gemma":[0.00008374197,0.0000554238,0.8412717,0.00019625509,0.000758113,0.0004492885,0.0018296328,0.065731585,0.0010226193,0.051691867,0.03669365,0.00021617647],"about_ca_topic_score_codex":0.97645,"about_ca_topic_score_gemma":0.9713969,"teacher_disagreement_score":0.023549974,"about_ca_system_score_codex":0.018700218,"about_ca_system_score_gemma":0.021186931,"threshold_uncertainty_score":0.1356802},"labels":[],"label_agreement":null},{"id":"W1718168295","doi":"10.2139/ssrn.2167662","title":"Not All Price Endings Are Created Equal: Price Points and Asymmetric Price Rigidity","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Rigidity (electromagnetism); Economics; Mid price; Limit price; Price level; Monetary economics; Econometrics; Engineering; Structural engineering","score_opus":0.02949497810599355,"score_gpt":0.2305572151164237,"score_spread":0.20106223701043016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1718168295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64982504,0.00097078766,0.17998189,0.009288732,0.00043536906,0.00006615984,0.00043188586,0.00040478702,0.1585953],"genre_scores_gemma":[0.98763674,0.00021252941,0.006384977,0.00020289797,0.00020047848,0.000021585454,0.000088120774,0.00011599397,0.0051367367],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976847,0.0006197131,0.00016862174,0.00054380036,0.000580163,0.00040298395],"domain_scores_gemma":[0.9789437,0.008699829,0.0049126544,0.004613047,0.0015645539,0.0012661205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00286562,0.0004165495,0.0014208239,0.0014165227,0.0022143458,0.0070914202,0.0021579147,0.0036247065,0.0183888],"category_scores_gemma":[0.04057232,0.0009782033,0.0009890933,0.0020839314,0.0057930415,0.018310849,0.0029421246,0.0052967397,0.002953871],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028678958,0.00005520288,0.001558501,0.00003972438,0.000022789656,0.00035104048,0.0003536077,0.003353131,0.0006624251,0.97422963,0.0018145975,0.017272616],"study_design_scores_gemma":[0.00002753705,0.000015828286,0.00086712785,0.000008173977,0.0000089191235,0.0001957462,0.00014283588,0.005596986,0.0001913626,0.992128,0.00080250617,0.000015010936],"about_ca_topic_score_codex":0.00052186905,"about_ca_topic_score_gemma":0.00032182995,"teacher_disagreement_score":0.0183888,"about_ca_system_score_codex":0.00077958376,"about_ca_system_score_gemma":0.0006303801,"threshold_uncertainty_score":0.061516702},"labels":[],"label_agreement":null},{"id":"W1726490485","doi":"10.2139/ssrn.1596297","title":"Investor Overconfidence and the Forward Premium Puzzle","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Overconfidence effect; Financial economics; Business; Economics; Monetary economics; Psychology; Social psychology","score_opus":0.0087798701640553,"score_gpt":0.1922046690833752,"score_spread":0.1834247989193199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1726490485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722865,0.0030254803,0.0022698091,0.012601438,0.000118230055,0.0000043710074,0.00015893624,0.0000329892,0.009502224],"genre_scores_gemma":[0.997558,0.0005331952,0.00014371464,0.0002610307,0.00023439692,0.0000012915464,0.00005055126,0.000008087237,0.0012096026],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998099,0.00005512571,0.000020241976,0.000036268597,0.000043113872,0.000035274938],"domain_scores_gemma":[0.9811086,0.012086949,0.0046589426,0.0010139366,0.00049631094,0.0006351041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027053053,0.0002828818,0.00063872925,0.0008328128,0.00033450176,0.0021714845,0.00062298385,0.002104993,0.009817667],"category_scores_gemma":[0.02654871,0.00020440378,0.00024383538,0.00078346266,0.0008208871,0.0038443147,0.00082800695,0.0025754783,0.00060059247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048106774,0.000710419,0.42236823,0.00038784952,0.00047203107,0.007945989,0.0029343348,0.013038013,0.006658498,0.32447034,0.020909145,0.19529456],"study_design_scores_gemma":[0.00055208366,0.00025071786,0.31869662,0.00013468065,0.00030107552,0.0035812405,0.0017461571,0.03408306,0.0015989391,0.6327092,0.006242885,0.000103248174],"about_ca_topic_score_codex":0.0011645056,"about_ca_topic_score_gemma":0.0008266797,"teacher_disagreement_score":0.009817667,"about_ca_system_score_codex":0.00032306544,"about_ca_system_score_gemma":0.00020037786,"threshold_uncertainty_score":0.03284335},"labels":[],"label_agreement":null},{"id":"W1730574872","doi":"10.2139/ssrn.2101826","title":"Exchange Trading Rules, Surveillance, and Insider Trading","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; RoZetta; Capital Markets CRC Limited","keywords":"Insider trading; Alternative trading system; Algorithmic trading; Open outcry; Business; High-frequency trading; Stock exchange; Electronic trading; Dark liquidity; Trading turret; Stock trading; Stock (firearms); Stock market; Agency (philosophy); Financial economics; Finance; Economics","score_opus":0.0262776563964136,"score_gpt":0.21257571060253666,"score_spread":0.18629805420612305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1730574872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97976047,0.0015641854,0.007645076,0.00095670595,0.000033201788,0.000012324597,0.0001657824,0.000026411493,0.009835941],"genre_scores_gemma":[0.99843866,0.0003060059,0.00047042526,0.000023765571,0.00003297201,0.0000021801682,0.000061076404,0.0000032331116,0.0006617],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992932,0.00030492866,0.00007798089,0.00013534457,0.00010906515,0.000079296886],"domain_scores_gemma":[0.9556361,0.028071621,0.012399867,0.0018514473,0.0009946165,0.0010464329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00264784,0.00019013157,0.00053346524,0.0008148716,0.00038676715,0.0037453813,0.000392336,0.0010836187,0.003001305],"category_scores_gemma":[0.029996315,0.0001791545,0.00030753834,0.00078506273,0.001089154,0.0035373885,0.00054935715,0.00092737086,0.00023160868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019742004,0.0007580303,0.5466117,0.00021440034,0.00044152988,0.0015235605,0.0014670809,0.044262137,0.0041350797,0.2772661,0.0046876376,0.11665854],"study_design_scores_gemma":[0.00015955254,0.00041784253,0.38402143,0.00012073454,0.00027193135,0.0017715866,0.0014554417,0.1756218,0.0016262443,0.4303766,0.0040437593,0.00011304769],"about_ca_topic_score_codex":0.0015292838,"about_ca_topic_score_gemma":0.0012488128,"teacher_disagreement_score":0.0037453813,"about_ca_system_score_codex":0.00040945542,"about_ca_system_score_gemma":0.00030966464,"threshold_uncertainty_score":0.014003336},"labels":[],"label_agreement":null},{"id":"W1734270746","doi":"10.2139/ssrn.1360420","title":"Do Hedge Funds Trade on Private Information? Evidence from Syndicated Lending","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business; Hedge fund; Financial system; Private information retrieval; Finance; Syndicated loan; Monetary economics; Accounting; Economics","score_opus":0.026716111841930536,"score_gpt":0.23052479293932648,"score_spread":0.20380868109739594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1734270746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922983,0.0007318604,0.00014797723,0.0010403699,0.000011115941,0.0000095629575,0.0003615673,0.000009523595,0.005389732],"genre_scores_gemma":[0.9981754,0.00057340966,0.00006644545,0.000089829984,0.000051071678,0.000004035699,0.00026196634,0.0000031078523,0.00077477697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983847,0.00058283453,0.00017671786,0.00018156071,0.00046766794,0.00020653338],"domain_scores_gemma":[0.85845435,0.0883825,0.039227445,0.00696918,0.0039513926,0.0030151221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004361964,0.00027736483,0.0006905816,0.00176303,0.0006925509,0.0033820167,0.0009958982,0.0018910007,0.008829318],"category_scores_gemma":[0.04928224,0.00042693736,0.00039521052,0.002212583,0.0020439695,0.0034694227,0.0017152914,0.0013106114,0.0010354967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048594405,0.0011260607,0.92443115,0.00039966372,0.0006474624,0.0012029861,0.0035154114,0.0011170345,0.0011242488,0.0083826585,0.0032771064,0.04991679],"study_design_scores_gemma":[0.0011608024,0.0010137472,0.9576293,0.00027746515,0.0009012624,0.0010069658,0.005730723,0.0029339732,0.0024071913,0.016812712,0.010061105,0.00006463276],"about_ca_topic_score_codex":0.005185244,"about_ca_topic_score_gemma":0.0039911615,"teacher_disagreement_score":0.008829318,"about_ca_system_score_codex":0.0005237864,"about_ca_system_score_gemma":0.0005385487,"threshold_uncertainty_score":0.029537022},"labels":[],"label_agreement":null},{"id":"W1739189776","doi":"10.2139/ssrn.269627","title":"The Shape of Risk Premium: Evidence from a Semiparametric GARCH Model","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Risk premium; Econometrics; Autoregressive conditional heteroskedasticity; Semiparametric model; Economics; Risk model; Financial economics; Volatility (finance); Nonparametric statistics","score_opus":0.031727793570841614,"score_gpt":0.23374398516170822,"score_spread":0.2020161915908666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1739189776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97694176,0.00040343122,0.017168283,0.00078819966,0.00002249931,0.000010746229,0.00021551714,0.00021615834,0.0042334707],"genre_scores_gemma":[0.9988845,0.000118818236,0.0005800986,0.000035421952,0.000014927633,0.0000016032394,0.00008597775,0.00002634797,0.00025231278],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992835,0.0003135256,0.000045841585,0.00013172449,0.00014564687,0.00007970385],"domain_scores_gemma":[0.94382364,0.044640407,0.004142861,0.005558032,0.0013376245,0.0004975239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004390089,0.00032521563,0.0007232933,0.0007665228,0.00027698508,0.0020770223,0.0010865197,0.0015213266,0.0039410503],"category_scores_gemma":[0.04531662,0.0005198806,0.00059488433,0.0008220816,0.0009964539,0.0020107355,0.0007715616,0.001718635,0.0006541724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053430707,0.00097073114,0.34977168,0.00045926083,0.0014130163,0.0019463936,0.0026133829,0.28757212,0.018524671,0.20420922,0.009638881,0.11753751],"study_design_scores_gemma":[0.00043178597,0.00035775665,0.15970969,0.000043884564,0.0003960942,0.00072611356,0.00048790188,0.5717359,0.0029843554,0.2616411,0.0013228473,0.0001624777],"about_ca_topic_score_codex":0.0020644413,"about_ca_topic_score_gemma":0.0008519832,"teacher_disagreement_score":0.004390089,"about_ca_system_score_codex":0.00039566567,"about_ca_system_score_gemma":0.00026253753,"threshold_uncertainty_score":0.02321732},"labels":[],"label_agreement":null},{"id":"W1745514237","doi":"10.2139/ssrn.2141022","title":"When Analysts Talk, Do Institutional Investors Listen? Evidence from Target Price Changes","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Dalhousie University","funders":"","keywords":"Institutional investor; Business; Monetary economics; Accounting; Economics; Financial economics; Finance; Corporate governance","score_opus":0.03527329036867002,"score_gpt":0.22564125153021855,"score_spread":0.19036796116154853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1745514237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863674,0.000517937,0.00026060326,0.0015666005,0.00005621137,0.000011128955,0.00022512398,0.000010501982,0.0109844245],"genre_scores_gemma":[0.99752265,0.0003397084,0.00010181887,0.0003601708,0.0000889582,0.000010490133,0.00020441749,0.000011073978,0.0013606808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856925,0.0005804104,0.00010944066,0.00019439665,0.0003609836,0.00018556518],"domain_scores_gemma":[0.94181883,0.036232498,0.016371382,0.0020193125,0.0019759808,0.0015819562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030718646,0.00021903632,0.00031250287,0.0006608098,0.00047971567,0.0023997335,0.0006990836,0.0020169483,0.0075932434],"category_scores_gemma":[0.045581505,0.00030396722,0.00015370069,0.0008195087,0.00078647304,0.0017415822,0.0008290554,0.0016011808,0.0017668988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0136871785,0.0022781843,0.8475529,0.00037878,0.00059211167,0.0010119813,0.011389965,0.00088820053,0.012222791,0.005674655,0.012728917,0.09159427],"study_design_scores_gemma":[0.0005718851,0.00082024914,0.975106,0.000069153,0.00038809987,0.0003144095,0.0059110117,0.0011632026,0.003398655,0.0051297755,0.0070676794,0.00005984557],"about_ca_topic_score_codex":0.002830034,"about_ca_topic_score_gemma":0.0030172062,"teacher_disagreement_score":0.0075932434,"about_ca_system_score_codex":0.0003840833,"about_ca_system_score_gemma":0.00027148935,"threshold_uncertainty_score":0.02540195},"labels":[],"label_agreement":null},{"id":"W1753023546","doi":"10.2139/ssrn.1654138","title":"Informed Option Trading and Stock Market Mispricing","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Business; Algorithmic trading; Financial economics; Stock market; Insider trading; Economics; Monetary economics; Finance","score_opus":0.030999671288298492,"score_gpt":0.2084134498064318,"score_spread":0.1774137785181333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1753023546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9704344,0.0018417792,0.01878136,0.001976882,0.00007698027,0.000010867005,0.00009025124,0.00006753732,0.006719858],"genre_scores_gemma":[0.99799097,0.00022237508,0.00064544444,0.000044983826,0.000044250533,0.0000020430546,0.00001942838,0.0000035596522,0.0010269862],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999493,0.00021171273,0.000045611454,0.00007662617,0.0001227682,0.000050304072],"domain_scores_gemma":[0.97437006,0.018538212,0.0046952516,0.0013291792,0.0005150736,0.00055226084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022542945,0.00032545227,0.00053846376,0.0006079374,0.00026605444,0.0023882599,0.0006423478,0.0020422954,0.004288554],"category_scores_gemma":[0.028908372,0.0003641883,0.00033252564,0.00061451324,0.00079228426,0.0035055182,0.0006698868,0.0013676389,0.00026676132],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032405497,0.001111828,0.18560834,0.000299443,0.00093294814,0.006744414,0.0013020447,0.17616731,0.009324173,0.48612657,0.004095808,0.12504658],"study_design_scores_gemma":[0.00010074612,0.0002022034,0.04502295,0.00002883134,0.00011653121,0.0009790846,0.00020346537,0.34187573,0.0013934376,0.6089851,0.0010215648,0.00007030791],"about_ca_topic_score_codex":0.00066720706,"about_ca_topic_score_gemma":0.0008497042,"teacher_disagreement_score":0.004288554,"about_ca_system_score_codex":0.00040189383,"about_ca_system_score_gemma":0.00030247757,"threshold_uncertainty_score":0.014346659},"labels":[],"label_agreement":null},{"id":"W1757157318","doi":"10.2139/ssrn.1974370","title":"Betas and the Myth of Market Neutrality","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Uncorrelated; Economics; Portfolio; Econometrics; Neutrality; Financial economics; Construct (python library); Market portfolio; Actuarial science; Computer science; Statistics","score_opus":0.02302970656727167,"score_gpt":0.1928076221767091,"score_spread":0.16977791560943745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1757157318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33887386,0.007692427,0.18686688,0.22317536,0.0023676986,0.00007299173,0.00028975614,0.00025885095,0.2404022],"genre_scores_gemma":[0.9858065,0.0008399067,0.0042659063,0.0032098072,0.001424431,0.00005150408,0.00002693729,0.000040813004,0.004334238],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996675,0.0016119877,0.00012787846,0.0006284298,0.00064847356,0.00030820724],"domain_scores_gemma":[0.9826251,0.011569442,0.0016059494,0.0019219323,0.0012864938,0.000991022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011297843,0.00041903672,0.0007850335,0.0013029521,0.0011722116,0.0056668473,0.0010384534,0.002873905,0.004772678],"category_scores_gemma":[0.037894666,0.00030587602,0.00049712247,0.00041458395,0.012515119,0.009661184,0.0024593966,0.005415317,0.0006404958],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000412341,0.000012674842,0.00037688704,0.000015634125,0.000017930253,0.000041825606,0.00017343657,0.00061526644,0.00017738398,0.9916853,0.0013968014,0.0054455753],"study_design_scores_gemma":[0.000013915856,0.000009675787,0.00014582198,0.0000074684162,0.000002390122,0.000035754398,0.000025943651,0.0010112498,0.00004971706,0.9976426,0.0010503728,0.0000051918782],"about_ca_topic_score_codex":0.00023658719,"about_ca_topic_score_gemma":0.000105938394,"teacher_disagreement_score":0.011297843,"about_ca_system_score_codex":0.0011289755,"about_ca_system_score_gemma":0.0007010812,"threshold_uncertainty_score":0.059749365},"labels":[],"label_agreement":null},{"id":"W1758392882","doi":"10.2139/ssrn.2578355","title":"When Does the Stock Market Listen to Economic News? New Evidence from Copulas and News Wires.","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Stock market; Financial economics; Business; Stock (firearms); Monetary economics; Economics; Financial system; History","score_opus":0.019306851992726783,"score_gpt":0.21614752345397625,"score_spread":0.19684067146124948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1758392882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91739595,0.008814731,0.0123539325,0.016339539,0.00071642164,0.000059637186,0.003060952,0.00012760024,0.04113121],"genre_scores_gemma":[0.991746,0.002942237,0.0010661529,0.00086402387,0.000592874,0.000022115126,0.0008951653,0.000065184155,0.0018062824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998679,0.0005177274,0.00013422822,0.00021894285,0.000303797,0.00014636404],"domain_scores_gemma":[0.86078095,0.10196925,0.024508646,0.005922428,0.0048033283,0.0020154081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005618731,0.00043057947,0.00081155763,0.0015496963,0.0006371159,0.0047188415,0.000851102,0.0018337091,0.009275678],"category_scores_gemma":[0.11227934,0.0005548425,0.0005305616,0.0028169467,0.001473249,0.0059163026,0.0012827965,0.002528445,0.0017598689],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040598908,0.0011618173,0.6652766,0.0007554457,0.0025118324,0.0015361598,0.0058969357,0.010881355,0.0028952828,0.06798995,0.03132991,0.20570484],"study_design_scores_gemma":[0.00034282097,0.0003926687,0.80064946,0.0003941896,0.0015488839,0.00055163144,0.004686194,0.029173981,0.0014771986,0.14214517,0.018455138,0.00018272924],"about_ca_topic_score_codex":0.004240441,"about_ca_topic_score_gemma":0.0026266014,"teacher_disagreement_score":0.009275678,"about_ca_system_score_codex":0.00039942077,"about_ca_system_score_gemma":0.00037903644,"threshold_uncertainty_score":0.031030238},"labels":[],"label_agreement":null},{"id":"W1758833921","doi":"10.4337/9781848447189.00017","title":"Innovation in Trading Activity: Should Stock Markets be More Transparent?","year":2009,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Stock (firearms); Financial economics; Commerce; Economics; Geography","score_opus":0.1075266034949183,"score_gpt":0.25713002675824526,"score_spread":0.14960342326332696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1758833921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7118603,0.011789574,0.06504271,0.032562062,0.0007011563,0.00013791822,0.000641882,0.00046598125,0.17679842],"genre_scores_gemma":[0.98619634,0.001541626,0.006498125,0.00093729113,0.00039900665,0.000030293877,0.00010745029,0.000034940807,0.0042548957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977831,0.00057873584,0.00018983193,0.00040069778,0.0008689486,0.0001787377],"domain_scores_gemma":[0.9763581,0.011009103,0.0090012,0.001851697,0.0010649832,0.00071497745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049532824,0.0003998522,0.00063133583,0.0010316224,0.00040352272,0.005695485,0.00074000476,0.0022265043,0.0066480497],"category_scores_gemma":[0.027512267,0.00028315326,0.0006476235,0.0011243133,0.002920505,0.011139611,0.0017945827,0.0019767992,0.00060729776],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008649407,0.00042658325,0.10471407,0.0008842602,0.00031260346,0.0009951643,0.003093057,0.010134179,0.009561193,0.53558046,0.005732641,0.32770094],"study_design_scores_gemma":[0.00017723706,0.00062225584,0.19654092,0.0006090689,0.00021830303,0.0009987248,0.0011840976,0.020224692,0.004132513,0.74287695,0.032235786,0.00017937981],"about_ca_topic_score_codex":0.0008982924,"about_ca_topic_score_gemma":0.00044378667,"teacher_disagreement_score":0.0066480497,"about_ca_system_score_codex":0.00095761725,"about_ca_system_score_gemma":0.0008381463,"threshold_uncertainty_score":0.026195765},"labels":[],"label_agreement":null},{"id":"W1770513754","doi":"10.5539/ibr.v8n5p162","title":"The Implied Cost of Capital: An Empirical Assessment in the Tunisian Context","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Economics; Dividend; Residual income valuation; Earnings; Valuation (finance); Estimator; Book value; Equity (law); Financial economics; Statistics; Accounting; Mathematics; Finance; Equity risk","score_opus":0.24055968083491672,"score_gpt":0.4190760827461126,"score_spread":0.17851640191119586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1770513754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952683,0.0007721228,0.00042706437,0.00031389127,0.000008260301,0.0000064448946,0.00016593901,0.0000037216898,0.0030342431],"genre_scores_gemma":[0.9989281,0.00023244448,0.00019606539,0.000019509594,0.000022772101,0.0000038677495,0.00017096676,0.000002819744,0.0004234667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946636,0.00019561731,0.000032529897,0.0000978855,0.000093081624,0.00011459985],"domain_scores_gemma":[0.9948773,0.002189238,0.0017034055,0.00032611773,0.00071030983,0.00019362675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017183888,0.00029036592,0.0003060382,0.0017372699,0.0007059611,0.002247935,0.00070847303,0.0005155386,0.0035997066],"category_scores_gemma":[0.007226241,0.00012851146,0.00031299546,0.0023278433,0.0007183624,0.0016588721,0.0011208123,0.00078742846,0.0001874963],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037425934,0.0001740134,0.92130345,0.00011246888,0.00018941848,0.0015006996,0.0020728842,0.011755056,0.0006283899,0.024343131,0.0022654368,0.035280764],"study_design_scores_gemma":[0.000023709114,0.00016399294,0.93718636,0.00015333595,0.000113223396,0.00043246264,0.0053756037,0.041062243,0.0006801267,0.0056879036,0.009080315,0.00004086017],"about_ca_topic_score_codex":0.061212614,"about_ca_topic_score_gemma":0.039716884,"teacher_disagreement_score":0.061212614,"about_ca_system_score_codex":0.0030725496,"about_ca_system_score_gemma":0.0006713866,"threshold_uncertainty_score":0.121712625},"labels":[],"label_agreement":null},{"id":"W1772947174","doi":"10.2139/ssrn.1107185","title":"Is the Distribution of Stock Returns Predictable?","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Stock (firearms); Econometrics; Economics; Financial economics; Geography","score_opus":0.02174812955571537,"score_gpt":0.2047828415267494,"score_spread":0.18303471197103402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1772947174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97000366,0.0012015614,0.02026332,0.0044426457,0.00008358795,0.00002073142,0.0007704439,0.00015340302,0.0030606608],"genre_scores_gemma":[0.99790144,0.00065337354,0.00034152754,0.0001426373,0.00018009683,0.000007485758,0.00027143906,0.000021908734,0.00047994527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991872,0.00017308716,0.000060236533,0.00028814274,0.00013301767,0.00015825038],"domain_scores_gemma":[0.9526268,0.031122616,0.010524096,0.0033376461,0.0015865047,0.00080226513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003813034,0.0003813577,0.0012071083,0.0012931654,0.00033504175,0.0023369284,0.0012850086,0.0015543847,0.005218573],"category_scores_gemma":[0.045314983,0.0007018901,0.00088089035,0.0012462646,0.0023888894,0.0042579114,0.00070524565,0.0016203722,0.0012324865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011110784,0.0002522153,0.6717457,0.00047957685,0.0012542256,0.0019149276,0.0011493528,0.06663754,0.0049890317,0.13378352,0.013988686,0.10269416],"study_design_scores_gemma":[0.0002138602,0.0003253933,0.3643599,0.00012473701,0.00031219205,0.0013332171,0.0008514162,0.31758118,0.0027785054,0.30948362,0.0024990768,0.00013690186],"about_ca_topic_score_codex":0.002188744,"about_ca_topic_score_gemma":0.0019242128,"teacher_disagreement_score":0.005218573,"about_ca_system_score_codex":0.0007171572,"about_ca_system_score_gemma":0.0004573264,"threshold_uncertainty_score":0.020165443},"labels":[],"label_agreement":null},{"id":"W1776528466","doi":"10.2139/ssrn.559964","title":"Conditioning Information, Out-of-Sample Validation, and the Cross-Section of Stock Returns","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stock (firearms); Sample (material); Section (typography); Econometrics; Economics; Business; Engineering; Chemistry; Mechanical engineering; Chromatography; Advertising","score_opus":0.01554545417907061,"score_gpt":0.22876502108457897,"score_spread":0.21321956690550836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1776528466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8864287,0.0015132491,0.10886966,0.00057285395,0.00013754252,0.00006910501,0.00034890906,0.00040362892,0.0016564054],"genre_scores_gemma":[0.99132407,0.00024330032,0.006221715,0.00014846747,0.000064760075,0.00002503903,0.0011892325,0.00007206693,0.0007113313],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9864542,0.009480069,0.00092806394,0.0012933015,0.001044812,0.00079960824],"domain_scores_gemma":[0.5810397,0.36833802,0.010146915,0.030889124,0.0071607353,0.0024255917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07290804,0.0012336135,0.0019761906,0.0024789893,0.0015484868,0.0027004995,0.0019824547,0.0038295481,0.0031338837],"category_scores_gemma":[0.2233814,0.0009778967,0.001496778,0.001535828,0.002713141,0.004205747,0.0020213039,0.0031373503,0.00048267236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005420178,0.0019241385,0.5493424,0.0003003333,0.003081718,0.0005926128,0.0007887523,0.25777438,0.005158335,0.02334015,0.0048281816,0.14744888],"study_design_scores_gemma":[0.00031973177,0.0007476354,0.15550311,0.00020279901,0.0009530615,0.0003674008,0.0001730145,0.8011544,0.007974371,0.031169122,0.0012644323,0.00017095511],"about_ca_topic_score_codex":0.0049161175,"about_ca_topic_score_gemma":0.005634725,"teacher_disagreement_score":0.07290804,"about_ca_system_score_codex":0.0010966549,"about_ca_system_score_gemma":0.0022525513,"threshold_uncertainty_score":0.38557917},"labels":[],"label_agreement":null},{"id":"W1782152557","doi":"","title":"Is Three A Crowd? Considering The Value Of Manager Diversification For Adding Alpha","year":2008,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Luck; Portfolio; Business; Project portfolio management; Active management; Simple (philosophy); Alpha (finance); Actuarial science; Financial economics; Goodwill; Value (mathematics); Microeconomics; Investment management; Economics; Passive management; Excess return; Finance; Marketing; Computer science; Management; Fund of funds","score_opus":0.0625696020866048,"score_gpt":0.21198868862360148,"score_spread":0.1494190865369967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1782152557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33328345,0.0055587166,0.15579645,0.29325885,0.0012268355,0.00007612239,0.00015032047,0.0002663295,0.21038291],"genre_scores_gemma":[0.977037,0.001082012,0.0095944,0.004342328,0.000440677,0.0000342254,0.000015311685,0.000039990966,0.0074140443],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99901175,0.00045135454,0.000019886607,0.00016212527,0.00016872064,0.00018613547],"domain_scores_gemma":[0.9969343,0.0014710915,0.00035760127,0.00027077907,0.00028794172,0.00067830057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027059577,0.00045214838,0.0006246149,0.00063077617,0.0022165067,0.00825531,0.00092389423,0.004473686,0.008024009],"category_scores_gemma":[0.011054036,0.00028760772,0.00062535977,0.00061072357,0.0043706163,0.009099769,0.0023228896,0.0027466344,0.0006382436],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010561574,0.000070095666,0.0035522333,0.000035519704,0.000036694502,0.000563071,0.0009716319,0.0116965305,0.0006592956,0.94825524,0.010167357,0.023886768],"study_design_scores_gemma":[0.000036174184,0.00004721599,0.00095493055,0.000067225126,0.000019128762,0.00018919297,0.0012806492,0.023966452,0.00029354243,0.9562577,0.016858911,0.000028862585],"about_ca_topic_score_codex":0.0026667288,"about_ca_topic_score_gemma":0.0036315827,"teacher_disagreement_score":0.00825531,"about_ca_system_score_codex":0.0016611392,"about_ca_system_score_gemma":0.0018527929,"threshold_uncertainty_score":0.026842952},"labels":[],"label_agreement":null},{"id":"W1785609011","doi":"10.2139/ssrn.2328231","title":"Quote Intensity and Market Quality: Effects of the SEC Naked Access Ban","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Quality (philosophy); Intensity (physics); Business; R&D intensity; Economics; Physics; Optics","score_opus":0.014653297176873109,"score_gpt":0.2206847145938895,"score_spread":0.2060314174170164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1785609011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98691213,0.0007104052,0.00061860733,0.0026985742,0.00007005932,0.000027167916,0.00064430275,0.00008080831,0.008237922],"genre_scores_gemma":[0.99712974,0.00009851847,0.00007331045,0.00019495682,0.00007917389,0.000005271395,0.00016414758,0.000026585745,0.0022282316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99734807,0.0009060355,0.00020193032,0.00040880303,0.00035000072,0.00078516715],"domain_scores_gemma":[0.86705285,0.08219944,0.026424494,0.006625104,0.0030668986,0.014631174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057934946,0.00033164423,0.001487829,0.00088538555,0.00074438786,0.006224825,0.0014343098,0.0029242088,0.040105674],"category_scores_gemma":[0.045802806,0.0004713127,0.0011477104,0.0012475537,0.0026035504,0.0032702256,0.0027881505,0.0057737557,0.0024077685],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.05251044,0.012018779,0.8015463,0.00044432413,0.0020197476,0.0019135136,0.0018974578,0.017798848,0.017355938,0.04288376,0.010333442,0.03927748],"study_design_scores_gemma":[0.0020070735,0.0033523957,0.92922163,0.00008078268,0.0019246929,0.00040774728,0.0026746471,0.019993162,0.0046615326,0.031661473,0.003846008,0.0001686878],"about_ca_topic_score_codex":0.008721636,"about_ca_topic_score_gemma":0.005491764,"teacher_disagreement_score":0.040105674,"about_ca_system_score_codex":0.001068202,"about_ca_system_score_gemma":0.0012037061,"threshold_uncertainty_score":0.13416684},"labels":[],"label_agreement":null},{"id":"W1791423833","doi":"10.2139/ssrn.2535455","title":"Robust Portfolio Choice with Derivatives Trading Under Stochastic Volatility","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Portfolio; Volatility (finance); Financial economics; Stochastic volatility; Economics; Econometrics; Volatility swap; Volatility smile; Implied volatility; Business","score_opus":0.026861288637370476,"score_gpt":0.20667705391653338,"score_spread":0.1798157652791629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1791423833","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4138928,0.0010736337,0.5768706,0.0018069702,0.00014048742,0.000070232425,0.00034749554,0.0003434625,0.0054543666],"genre_scores_gemma":[0.98327786,0.0003116939,0.01025005,0.00007658505,0.00010051786,0.000026740583,0.0001450161,0.00006357654,0.0057479204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977393,0.0011353585,0.00012635406,0.0004523668,0.00034782614,0.00019887235],"domain_scores_gemma":[0.97566855,0.017653693,0.0038182915,0.0010954675,0.0007830991,0.0009808892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070048003,0.0010695364,0.0026576738,0.0011445213,0.0003275715,0.0034533625,0.001672247,0.0031367885,0.0033927148],"category_scores_gemma":[0.033789583,0.0013445511,0.0013909269,0.0010339589,0.0021027816,0.0049989484,0.002140136,0.0018322355,0.00033432574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006317195,0.00012108441,0.004199129,0.00015195327,0.00038046093,0.00071572064,0.00009092827,0.77369535,0.0029800117,0.20565961,0.00087966834,0.010494314],"study_design_scores_gemma":[0.00003841483,0.000061275474,0.00075557595,0.000006324665,0.000028227754,0.000058633294,0.000008991459,0.9515102,0.00025489533,0.04716884,0.00008386754,0.000024738767],"about_ca_topic_score_codex":0.0015100159,"about_ca_topic_score_gemma":0.00078906177,"teacher_disagreement_score":0.0070048003,"about_ca_system_score_codex":0.0009242354,"about_ca_system_score_gemma":0.0008618006,"threshold_uncertainty_score":0.03704536},"labels":[],"label_agreement":null},{"id":"W1794399552","doi":"10.2139/ssrn.1080509","title":"Strategic Hedge Fund Portfolio Construction that Incorporates Higher Moments","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Hedge fund; Business; Portfolio; Finance; Alternative beta; Actuarial science; Financial economics; Open-end fund; Economics; Corporate governance; Institutional investor","score_opus":0.06800581032263842,"score_gpt":0.2232690395123486,"score_spread":0.1552632291897102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1794399552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04957954,0.00007856903,0.9464717,0.00007627193,0.00003524184,0.000039171067,0.000028228662,0.00031163418,0.003379576],"genre_scores_gemma":[0.73540133,0.000075876414,0.26271802,0.00004674655,0.00005536803,0.000035817764,0.0001141554,0.00006385085,0.0014888324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963963,0.00012406768,0.00002461783,0.00004054863,0.00013116687,0.00003983966],"domain_scores_gemma":[0.99902284,0.00035828206,0.000104624705,0.00021282076,0.00021004466,0.000091239366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010286812,0.000345756,0.0006327272,0.0008846763,0.00027359097,0.00094889564,0.0005633335,0.00080035883,0.0016576896],"category_scores_gemma":[0.003875969,0.00027036367,0.0004606678,0.00081079867,0.00024315702,0.00106108,0.0010327307,0.00067038595,0.0003239886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027879907,0.00026368152,0.0075095245,0.000095572956,0.00014959289,0.00033439285,0.00013933369,0.4974563,0.02249241,0.110147126,0.0036540604,0.3574791],"study_design_scores_gemma":[0.000014946617,0.000039937622,0.00026052963,0.0000042273614,0.000017651353,0.000068283756,0.000008672964,0.98650616,0.0018417418,0.010598911,0.00063223264,0.000006670098],"about_ca_topic_score_codex":0.00036600622,"about_ca_topic_score_gemma":0.0008497811,"teacher_disagreement_score":0.0016576896,"about_ca_system_score_codex":0.00025464248,"about_ca_system_score_gemma":0.00066457683,"threshold_uncertainty_score":0.0055455565},"labels":[],"label_agreement":null},{"id":"W1799428430","doi":"","title":"Canadian Stock Splits and Financial Analyst Forecasts: Testing Signaling and Attention Effects","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Moncton; Université du Québec à Montréal","funders":"","keywords":"Earnings; Efficient-market hypothesis; Stock (firearms); Stock market; Economics; Financial economics; Monetary economics; Financial market; Event study; Econometrics; Business; Finance; Biology","score_opus":0.01433429206511389,"score_gpt":0.2007219961080493,"score_spread":0.18638770404293542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1799428430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967434,0.00018126811,0.000147869,0.0002286809,0.000010782971,0.000013563032,0.0004071613,0.000008020257,0.0022592908],"genre_scores_gemma":[0.9986003,0.00011114645,0.00008848988,0.000026824515,0.00001546039,0.0000037933303,0.0004477968,0.0000021385704,0.00070402084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884605,0.00014682504,0.000046563033,0.00015129129,0.00056331744,0.00024594474],"domain_scores_gemma":[0.9829076,0.0072530434,0.0052874307,0.00055327924,0.002672641,0.0013259888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020290897,0.00049574097,0.00039432442,0.001366155,0.00082254503,0.0010468728,0.00057709834,0.0006371514,0.0028400954],"category_scores_gemma":[0.016480297,0.00019058715,0.00051971764,0.0015461242,0.0005887247,0.0006305871,0.0005048621,0.00067378004,0.0002139316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009199107,0.00010742836,0.9816144,0.000036738358,0.00019152454,0.00012473596,0.0007169366,0.0015377759,0.00090203754,0.0005559632,0.00091249036,0.012379938],"study_design_scores_gemma":[0.00001617132,0.000088744506,0.99445856,0.0000055286714,0.0000849408,0.000016956597,0.00032275467,0.004026203,0.000366559,0.00008078284,0.0005163496,0.000016322745],"about_ca_topic_score_codex":0.8748501,"about_ca_topic_score_gemma":0.8225795,"teacher_disagreement_score":0.1251499,"about_ca_system_score_codex":0.0059734182,"about_ca_system_score_gemma":0.006172861,"threshold_uncertainty_score":0.25177383},"labels":[],"label_agreement":null},{"id":"W1800296425","doi":"10.2139/ssrn.1712949","title":"Micro Frictions, Asset Pricing, and Aggregate Implications","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Capital asset pricing model; Aggregate (composite); Consumption-based capital asset pricing model; Asset (computer security); Arbitrage pricing theory; Economics; Financial economics; Business; Computer science; Computer security","score_opus":0.026704447240949496,"score_gpt":0.21001055214567843,"score_spread":0.18330610490472893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1800296425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91055566,0.0025416033,0.032388423,0.010201678,0.00016991845,0.0000374435,0.00035990097,0.00014532328,0.04360011],"genre_scores_gemma":[0.9974228,0.00035277463,0.0004253874,0.000077572084,0.0000904109,0.000006300845,0.000023361325,0.000008069102,0.0015934444],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99954385,0.0001194563,0.000030039917,0.000087535656,0.000093151,0.00012591868],"domain_scores_gemma":[0.9938235,0.0034485105,0.0012807572,0.00059213844,0.00034710098,0.0005078585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013614623,0.00030955483,0.000963989,0.0010080256,0.00072465104,0.0037158963,0.0008263824,0.0016739547,0.012235718],"category_scores_gemma":[0.01279359,0.0004513102,0.00048277795,0.001103446,0.0014251175,0.005828381,0.0016752166,0.0019793776,0.0004812337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021716653,0.00033414547,0.017336676,0.00010467332,0.00009595448,0.00067997706,0.00037752176,0.06362772,0.0010431779,0.89015406,0.006465702,0.019563194],"study_design_scores_gemma":[0.000057439844,0.000068161564,0.019682923,0.00003154695,0.00005297105,0.00016286135,0.0004330198,0.1617688,0.00023329568,0.81587833,0.0015907997,0.000039843046],"about_ca_topic_score_codex":0.0031756656,"about_ca_topic_score_gemma":0.0026591113,"teacher_disagreement_score":0.012235718,"about_ca_system_score_codex":0.000983254,"about_ca_system_score_gemma":0.0006524629,"threshold_uncertainty_score":0.040932596},"labels":[],"label_agreement":null},{"id":"W1801408019","doi":"10.2139/ssrn.2307022","title":"Robust Assessment of Hedge Fund Performance Through Nonparametric Risk Adjustment","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Hedge fund; Nonparametric statistics; Econometrics; Actuarial science; Business; Returns-based style analysis; Economics; Computer science; Finance; Fund administration; Fund of funds; Microeconomics; Incentive","score_opus":0.03531651198779792,"score_gpt":0.23384203235787984,"score_spread":0.19852552037008192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1801408019","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46869773,0.0003025087,0.5271705,0.00013125657,0.000040927727,0.000044624252,0.00031825283,0.00070093985,0.0025931562],"genre_scores_gemma":[0.977797,0.00004621367,0.021375375,0.000013347363,0.000017828821,0.000013353423,0.00020446234,0.00003135298,0.00050113606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864346,0.00054045685,0.000094140974,0.00022661668,0.000408983,0.00008636967],"domain_scores_gemma":[0.99426913,0.002563153,0.0012425181,0.0011840619,0.0006236111,0.00011759521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038101568,0.000504019,0.000566273,0.0008561413,0.0001856694,0.0012582535,0.0006619835,0.0007456097,0.00073070003],"category_scores_gemma":[0.01942373,0.00023081726,0.00039485891,0.0006592036,0.00042941474,0.0012837071,0.0010218298,0.0007049029,0.0002525166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010715957,0.00023668823,0.058790132,0.00013821737,0.00059703155,0.00022218328,0.00014098431,0.68126184,0.022042595,0.014250151,0.0015399064,0.21970877],"study_design_scores_gemma":[0.00001673583,0.00011589305,0.017662112,0.000009609351,0.000031039428,0.00007995115,0.000016047486,0.97282696,0.0044994056,0.004397934,0.00031319994,0.000031048847],"about_ca_topic_score_codex":0.0013051578,"about_ca_topic_score_gemma":0.0013763595,"teacher_disagreement_score":0.0038101568,"about_ca_system_score_codex":0.00031393263,"about_ca_system_score_gemma":0.00050437776,"threshold_uncertainty_score":0.020150244},"labels":[],"label_agreement":null},{"id":"W1801843374","doi":"10.2139/ssrn.302939","title":"The Option Value of Non-Recourse Lending and Inflated Asset Prices","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Value (mathematics); Financial economics; Asset (computer security); Economics; Actuarial science; Business; Mathematics; Computer science; Statistics","score_opus":0.01495687939405721,"score_gpt":0.20916992756634248,"score_spread":0.19421304817228527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1801843374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8878012,0.0022665919,0.0745307,0.004247311,0.00025457633,0.000026821222,0.00020268971,0.00017974465,0.030490382],"genre_scores_gemma":[0.99343336,0.00029647435,0.0016830273,0.000053666576,0.00013090739,0.000007867225,0.000045225846,0.000022505255,0.0043270756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999054,0.00047613127,0.000056054774,0.000112557194,0.000161987,0.00013922465],"domain_scores_gemma":[0.97776264,0.017123973,0.0018942638,0.0010560933,0.00093822106,0.0012248185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043824217,0.00065810385,0.0009692863,0.0010486146,0.00045423448,0.004793306,0.0023166477,0.0030725568,0.007888189],"category_scores_gemma":[0.032630466,0.00064065825,0.0007026664,0.00097400806,0.0029012742,0.010780535,0.0013325898,0.0036489812,0.0004173343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079762656,0.00023188448,0.0048316186,0.00016338562,0.00012042877,0.001532978,0.00046969173,0.106317006,0.002007694,0.86126435,0.0021382777,0.020125035],"study_design_scores_gemma":[0.0000525723,0.00007628491,0.003151041,0.00003003102,0.00004420382,0.0004635798,0.00014282743,0.2224289,0.00038899272,0.7725735,0.0005937073,0.00005437837],"about_ca_topic_score_codex":0.00058956747,"about_ca_topic_score_gemma":0.00043296875,"teacher_disagreement_score":0.007888189,"about_ca_system_score_codex":0.0011830521,"about_ca_system_score_gemma":0.00055263034,"threshold_uncertainty_score":0.026388645},"labels":[],"label_agreement":null},{"id":"W1803393046","doi":"10.5539/ijef.v7n9p293","title":"Investor Sentiment and Chinese A-Share Stock Markets Anomalies","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accrual; Stock (firearms); Stock market; Financial economics; Capital asset pricing model; Business; Economics; Investor profile; Monetary economics; Finance; Behavioral economics","score_opus":0.03296519667951258,"score_gpt":0.2330197472075244,"score_spread":0.20005455052801183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1803393046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984843,0.000032584612,0.00014461327,0.000042142132,0.000004165023,0.0000038733447,0.000103830775,0.0000037674345,0.0011807753],"genre_scores_gemma":[0.99960977,0.000033948887,0.00005292225,0.000008436173,0.000008792609,0.000001518997,0.00012273897,8.948597e-7,0.00016101993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998462,0.000021719972,0.000015347383,0.000024992121,0.000057861515,0.00003391397],"domain_scores_gemma":[0.99882084,0.00021705926,0.00060984434,0.00005321199,0.00018354504,0.00011540359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003833373,0.00022936627,0.000162864,0.0009776754,0.00023576373,0.0005835156,0.00009930612,0.00016682416,0.0011745419],"category_scores_gemma":[0.0014644586,0.000084997264,0.00022570172,0.000874284,0.00025284087,0.00038770703,0.00028070164,0.0001972153,0.00010303548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005690425,0.000029965795,0.9883279,0.00001591966,0.00006944058,0.00022033746,0.00024360542,0.0010111141,0.0024632108,0.00074550434,0.0004176229,0.006398375],"study_design_scores_gemma":[0.0000032664398,0.000022584136,0.99434114,0.0000031930588,0.000028972509,0.000044744913,0.00010582343,0.004480812,0.0004948448,0.00021561414,0.00025332853,0.000005578361],"about_ca_topic_score_codex":0.015437425,"about_ca_topic_score_gemma":0.01441609,"teacher_disagreement_score":0.015437425,"about_ca_system_score_codex":0.0005231732,"about_ca_system_score_gemma":0.00033860203,"threshold_uncertainty_score":0.03069514},"labels":[],"label_agreement":null},{"id":"W1808857093","doi":"10.2139/ssrn.1852769","title":"Do Multilateral Trading Facilities Contribute to Market Quality?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Business; Quality (philosophy); International economics; International trade; Natural resource economics; Economics","score_opus":0.04568339454088105,"score_gpt":0.2387663573879235,"score_spread":0.19308296284704246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1808857093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97199607,0.0011467364,0.0021610304,0.004448505,0.000051883006,0.00002627736,0.00037008687,0.000050231996,0.019749159],"genre_scores_gemma":[0.99907327,0.00009866531,0.00012948462,0.00007375469,0.000036662612,0.000001928432,0.000036061596,0.000009321123,0.00054077693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977088,0.00080081826,0.00016651858,0.0002524476,0.00040429615,0.00066717167],"domain_scores_gemma":[0.9133435,0.037998654,0.03269347,0.0034306275,0.0054236636,0.00711008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037639793,0.00018747611,0.00057703286,0.001314555,0.0008162666,0.0059832335,0.00076642865,0.0015669849,0.02695033],"category_scores_gemma":[0.040069748,0.0002697416,0.00044534088,0.0018830308,0.0016969887,0.005311666,0.0019640052,0.0015604277,0.0011355738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001643559,0.00077607954,0.87879014,0.00024509343,0.0005849941,0.00054549315,0.0015382386,0.0038935794,0.0012352553,0.0340094,0.0023857877,0.07435245],"study_design_scores_gemma":[0.00034289816,0.00057480106,0.92574745,0.00018148654,0.00041328426,0.0004633091,0.006498629,0.0061589014,0.0010758892,0.0520332,0.006423916,0.00008625063],"about_ca_topic_score_codex":0.004201202,"about_ca_topic_score_gemma":0.0054273936,"teacher_disagreement_score":0.02695033,"about_ca_system_score_codex":0.00092559564,"about_ca_system_score_gemma":0.0008477439,"threshold_uncertainty_score":0.09015781},"labels":[],"label_agreement":null},{"id":"W1809878750","doi":"10.2139/ssrn.960727","title":"Russell Reconstitution Effect Revisited","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Psychology","score_opus":0.011402035226049151,"score_gpt":0.21469031204701652,"score_spread":0.20328827682096737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1809878750","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0381525,0.0039285333,0.08918928,0.025968602,0.0043214858,0.00010872754,0.00076850626,0.0020512524,0.83551115],"genre_scores_gemma":[0.70728934,0.0030310322,0.027036294,0.0071786856,0.003609649,0.000109821885,0.00071026233,0.0018736366,0.24916127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977054,0.0006235456,0.00011315739,0.00060930854,0.0006062025,0.0003424257],"domain_scores_gemma":[0.99320364,0.0026244514,0.00039999845,0.002436573,0.0008893348,0.00044603526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049870494,0.00093238935,0.0022872854,0.002934409,0.0025728117,0.004197948,0.002949386,0.004094691,0.06625327],"category_scores_gemma":[0.022599595,0.0007662738,0.00156338,0.0017083765,0.005311774,0.012242653,0.004411646,0.00549983,0.008765787],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041775773,0.000010615131,0.0000707993,0.000022111977,0.0000085190595,0.00005144475,0.000058633137,0.00032328567,0.00010498032,0.98088443,0.010859906,0.007563483],"study_design_scores_gemma":[0.00004001952,0.0000220538,0.00026017803,0.000038569582,0.000024775261,0.00026541512,0.0000789134,0.0042593596,0.00068031956,0.9660397,0.028259404,0.000031256503],"about_ca_topic_score_codex":0.0021781113,"about_ca_topic_score_gemma":0.0015931005,"teacher_disagreement_score":0.06625327,"about_ca_system_score_codex":0.0012638578,"about_ca_system_score_gemma":0.0012755868,"threshold_uncertainty_score":0.22163928},"labels":[],"label_agreement":null},{"id":"W1812601853","doi":"10.2139/ssrn.383240","title":"External Financing and Future Stock Returns","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"External financing; Stock (firearms); Finance; Business; Internal financing; Stock market; Economics; Monetary economics; Information asymmetry","score_opus":0.011811140592694959,"score_gpt":0.19808832979163568,"score_spread":0.18627718919894073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1812601853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858849,0.0014459353,0.0012531625,0.0017521951,0.00004348357,0.000010789433,0.00048281366,0.000021694945,0.009105009],"genre_scores_gemma":[0.99233013,0.000725576,0.000112445174,0.0000835671,0.00011199334,0.0000066666203,0.00042135207,0.0000081212775,0.0062002228],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99984884,0.00004170156,0.000016605034,0.000020907379,0.000023079238,0.00004878923],"domain_scores_gemma":[0.99041486,0.0039406773,0.003681892,0.00034498307,0.0005513229,0.0010662056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014922069,0.00024932282,0.00027593604,0.0007620967,0.00028736322,0.002041455,0.00032614273,0.0013652217,0.011255524],"category_scores_gemma":[0.012568475,0.00014927766,0.00032474563,0.0006451617,0.0006169715,0.0017827961,0.00069451693,0.0012754423,0.0009533723],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014507187,0.00056496164,0.90420127,0.00007796083,0.0001118191,0.0016503168,0.0003765897,0.006756967,0.00094338786,0.037811756,0.0033501994,0.042704046],"study_design_scores_gemma":[0.00017430748,0.00054091256,0.8915153,0.00016607446,0.0002665113,0.0019465641,0.0007921013,0.015752425,0.0012354671,0.07746606,0.010101564,0.000042721873],"about_ca_topic_score_codex":0.0011215792,"about_ca_topic_score_gemma":0.0019299953,"teacher_disagreement_score":0.011255524,"about_ca_system_score_codex":0.0005969691,"about_ca_system_score_gemma":0.0002640457,"threshold_uncertainty_score":0.037653506},"labels":[],"label_agreement":null},{"id":"W1822297682","doi":"10.2139/ssrn.258268","title":"Explaining the Discount to NAV in REIT Pricing: Noise or Information?","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Real estate investment trust; Business; Information asymmetry; Financial economics; Noise (video); Economics; Finance; Real estate; Computer science","score_opus":0.019034034447880377,"score_gpt":0.22604467613379275,"score_spread":0.20701064168591238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1822297682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7893803,0.0033881457,0.1441463,0.01942723,0.0009180233,0.000083189625,0.0008358083,0.0005873489,0.041233573],"genre_scores_gemma":[0.9918433,0.00063715375,0.0021924342,0.00039164047,0.00034108447,0.000007253943,0.0001060597,0.000084198706,0.004396805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990246,0.00023711323,0.00007034942,0.00019137845,0.00021079695,0.00026566896],"domain_scores_gemma":[0.9715749,0.021164216,0.0036901021,0.0016557261,0.0011219493,0.00079316826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005522014,0.0005980822,0.00123102,0.00092069904,0.0006274631,0.0045938743,0.0017947706,0.004078568,0.009431521],"category_scores_gemma":[0.06383501,0.00083342165,0.0008877229,0.00081326236,0.0019825357,0.008755124,0.001222213,0.005712802,0.00095900195],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009928958,0.00039077128,0.04475761,0.00033513986,0.00018092497,0.0014547813,0.0018123607,0.10384947,0.0036910926,0.7532552,0.013456703,0.07582303],"study_design_scores_gemma":[0.00010110347,0.00012051233,0.014607706,0.00009032423,0.00014526543,0.00039300782,0.0005437649,0.395783,0.0014319672,0.5827914,0.0038156034,0.0001763592],"about_ca_topic_score_codex":0.005876309,"about_ca_topic_score_gemma":0.0038732174,"teacher_disagreement_score":0.009431521,"about_ca_system_score_codex":0.0011932692,"about_ca_system_score_gemma":0.0004792618,"threshold_uncertainty_score":0.03155154},"labels":[],"label_agreement":null},{"id":"W1844614590","doi":"10.2139/ssrn.985381","title":"Fear of the Unknown: Familiarity and Economic Decisions","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Social psychology; Economics; Positive economics; Cognitive psychology; Political science","score_opus":0.015938845111811897,"score_gpt":0.21706436207015842,"score_spread":0.20112551695834652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1844614590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9395212,0.00215882,0.0018459378,0.008876453,0.000061400606,0.000024149338,0.00006958157,0.000009865764,0.047432642],"genre_scores_gemma":[0.99794143,0.0003652455,0.00010111231,0.0003517882,0.000081532824,0.000003641263,0.00001669471,0.0000046180035,0.0011339766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899334,0.00053987344,0.00004712056,0.00011712987,0.0001339768,0.0001685019],"domain_scores_gemma":[0.9559122,0.02860802,0.007932301,0.0012109205,0.0011806645,0.005155908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027926406,0.00016919074,0.00044370274,0.00080915116,0.0010144874,0.004886335,0.00047361318,0.0032472657,0.017063934],"category_scores_gemma":[0.026773022,0.00023433549,0.00024429918,0.00058538205,0.003398109,0.004469617,0.0013458059,0.0026138308,0.0009246992],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042510596,0.00380667,0.7260922,0.00027704256,0.00042348192,0.004240227,0.0138162235,0.0049643954,0.0023197497,0.10749212,0.010562407,0.12175444],"study_design_scores_gemma":[0.00038497068,0.0014924885,0.54708725,0.00018224346,0.00025221918,0.0033194637,0.02579962,0.008941943,0.00069171947,0.39715853,0.014481079,0.00020851777],"about_ca_topic_score_codex":0.0021496734,"about_ca_topic_score_gemma":0.002574141,"teacher_disagreement_score":0.017063934,"about_ca_system_score_codex":0.00063447637,"about_ca_system_score_gemma":0.00038808587,"threshold_uncertainty_score":0.05708456},"labels":[],"label_agreement":null},{"id":"W1854472501","doi":"10.1016/j.insmatheco.2015.08.007","title":"On minimizing drawdown risks of lifetime investments","year":2015,"lang":"en","type":"article","venue":"Insurance Mathematics and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Drawdown (hydrology); Portfolio; Hamilton–Jacobi–Bellman equation; Rate of return on a portfolio; Econometrics; Rate of return; Asset (computer security); Volatility (finance); Economics; Investment strategy; Portfolio optimization; Financial economics; Computer science; Microeconomics; Finance; Bellman equation; Engineering; Mathematical economics","score_opus":0.10884464918086956,"score_gpt":0.26009098950361476,"score_spread":0.1512463403227452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1854472501","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17851858,0.0074074133,0.7888529,0.005225762,0.00024197527,0.00010509308,0.0003346885,0.00030986173,0.019003728],"genre_scores_gemma":[0.9259684,0.0062043644,0.048061904,0.00050262176,0.00048112666,0.00024403041,0.00033857528,0.00032701812,0.017871873],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990553,0.0005256684,0.00004880665,0.00012652639,0.00013275619,0.000110829205],"domain_scores_gemma":[0.985037,0.012536089,0.0009691314,0.0003815938,0.0005553415,0.0005208939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046952693,0.0022757147,0.0021353706,0.0014279275,0.0005165952,0.0024649373,0.0019032736,0.002623827,0.0032508639],"category_scores_gemma":[0.023240767,0.00109425,0.0009326436,0.0012555772,0.0020994241,0.0040335464,0.0021421982,0.002153624,0.00029957434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002217504,0.00008960158,0.002092661,0.00040285604,0.00017733053,0.00023425485,0.00029185324,0.43245587,0.0025056982,0.5264559,0.0036874255,0.03138477],"study_design_scores_gemma":[0.000044197706,0.00010888236,0.00080839114,0.000089667345,0.00006738407,0.00010694617,0.00007275152,0.47606853,0.00077818095,0.520279,0.0015496254,0.000026451251],"about_ca_topic_score_codex":0.0023514961,"about_ca_topic_score_gemma":0.0012668244,"teacher_disagreement_score":0.0046952693,"about_ca_system_score_codex":0.0020001803,"about_ca_system_score_gemma":0.0015556596,"threshold_uncertainty_score":0.024831235},"labels":[],"label_agreement":null},{"id":"W1856119153","doi":"10.3905/jot.v7i3.314","title":"Representativeness Heuristic Can Cause Asset Price Underreaction to New Information in a Competitive Securities Market","year":2012,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Representativeness heuristic; Stochastic game; Asset (computer security); Basis risk; Microeconomics; Heuristic; Capital asset pricing model; Economics; Financial economics; Actuarial science; Econometrics; Business; Computer science; Computer security","score_opus":0.050812572161728645,"score_gpt":0.25803703816806617,"score_spread":0.20722446600633754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1856119153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8788395,0.0002945831,0.10658871,0.0017156862,0.00010704978,0.00008245804,0.000059607697,0.00024015148,0.01207227],"genre_scores_gemma":[0.99596137,0.000072726245,0.0028893368,0.00012325625,0.00003002809,0.000015577863,0.000011072791,0.000011196691,0.0008855272],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868816,0.00039221105,0.00011006962,0.00024985505,0.00033199528,0.0002275618],"domain_scores_gemma":[0.98752964,0.0061188703,0.0036917648,0.0013497304,0.000700777,0.0006091624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003230345,0.0004878534,0.0010470608,0.0005382608,0.000588886,0.0020768226,0.0007193044,0.0018779812,0.0031123902],"category_scores_gemma":[0.01898166,0.0004116481,0.0010269779,0.00028628032,0.002061521,0.0027152102,0.001114348,0.0021297198,0.0001873896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014188484,0.00082128623,0.041446574,0.000378748,0.00071085553,0.0074476916,0.00168148,0.132646,0.062228534,0.70554405,0.0038741743,0.04180168],"study_design_scores_gemma":[0.00028384788,0.00054053764,0.014828,0.000023199123,0.00020969458,0.0015902142,0.00042451615,0.4401764,0.010361006,0.529593,0.001825192,0.00014443616],"about_ca_topic_score_codex":0.00083888666,"about_ca_topic_score_gemma":0.00043351305,"teacher_disagreement_score":0.003230345,"about_ca_system_score_codex":0.00093242,"about_ca_system_score_gemma":0.0008186455,"threshold_uncertainty_score":0.017083943},"labels":[],"label_agreement":null},{"id":"W1857014894","doi":"10.5539/ijef.v7n6p25","title":"Volatility Risk and January Effect: Evidence from Japan","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Recession; Autoregressive conditional heteroskedasticity; Stock (firearms); Stock market; Stock market volatility; Econometrics; Financial economics; Monetary economics; Geography; Macroeconomics","score_opus":0.03446345357896137,"score_gpt":0.23350115192636306,"score_spread":0.1990376983474017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1857014894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997968,0.00080559344,0.00011139423,0.00014030478,0.0000062338495,0.000003451617,0.00009587153,0.0000046956943,0.0008644887],"genre_scores_gemma":[0.99921036,0.0004658826,0.000050434122,0.000030811978,0.00003658681,0.0000010412529,0.00011080338,0.0000023790142,0.000091551825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996476,0.00006720865,0.000057204354,0.00006747408,0.00010021598,0.000060331342],"domain_scores_gemma":[0.99253404,0.0014525559,0.0044913753,0.0004364661,0.0006273737,0.00045824758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009484319,0.00017217002,0.0003595359,0.0010094749,0.0003766508,0.000932345,0.00025921903,0.00038456984,0.0010163448],"category_scores_gemma":[0.004500663,0.00019582755,0.00040431763,0.0014413265,0.0005063974,0.0005114453,0.00069622305,0.00040436967,0.00011788052],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029609047,0.000074167336,0.98550165,0.00008022591,0.00020058094,0.00047529515,0.0007545412,0.00031725847,0.0012868203,0.00042014188,0.0003619957,0.010231228],"study_design_scores_gemma":[0.000010407856,0.000044581273,0.9983063,0.0000073512083,0.00009415956,0.00009628958,0.00020913972,0.00038173955,0.00026885665,0.00014890314,0.0004252115,0.0000070995047],"about_ca_topic_score_codex":0.010375909,"about_ca_topic_score_gemma":0.009306749,"teacher_disagreement_score":0.010375909,"about_ca_system_score_codex":0.0003025364,"about_ca_system_score_gemma":0.00026899297,"threshold_uncertainty_score":0.020631015},"labels":[],"label_agreement":null},{"id":"W1860651644","doi":"10.1093/rof/rfv031","title":"It Hurts (Stock Prices) When Your Team is about to Lose a Soccer Match","year":2015,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Stock (firearms); Stock price; Mood; Affect (linguistics); Econometrics; Monetary economics; Economics; Financial economics; Business; Psychology; Social psychology; Geography","score_opus":0.10105694463411713,"score_gpt":0.2770978550492894,"score_spread":0.17604091041517228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1860651644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909717,0.0016830015,0.00040026748,0.0005833274,0.000055093416,0.000013191308,0.0010138309,0.000012679934,0.005266934],"genre_scores_gemma":[0.9962373,0.0009600946,0.0001279067,0.00010520314,0.00011223386,0.0000074649547,0.00096675864,0.0000033364495,0.0014797734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995697,0.000087860426,0.000041926036,0.00007791748,0.00015405961,0.00006847708],"domain_scores_gemma":[0.9954934,0.001022879,0.0025640305,0.00008668342,0.0004981348,0.00033475022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080194674,0.00021396017,0.00034540973,0.0007420986,0.00018977167,0.0015239306,0.00021301709,0.00056953455,0.0041975114],"category_scores_gemma":[0.0060567525,0.00012060341,0.00028111727,0.0007817269,0.00016871115,0.00043033678,0.00029531418,0.0005623024,0.0008858522],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047578267,0.00021928069,0.9640806,0.00012230349,0.00037257918,0.00038348816,0.00012665469,0.0018480824,0.0007994928,0.0006715767,0.0052628648,0.02563733],"study_design_scores_gemma":[0.00001645188,0.00025591895,0.9932492,0.0000451177,0.00012732667,0.00013716133,0.0003779266,0.0024417476,0.00036266766,0.0006146555,0.0023579642,0.000013990814],"about_ca_topic_score_codex":0.0050918623,"about_ca_topic_score_gemma":0.005945495,"teacher_disagreement_score":0.0050918623,"about_ca_system_score_codex":0.00029533307,"about_ca_system_score_gemma":0.00017201874,"threshold_uncertainty_score":0.014042079},"labels":[],"label_agreement":null},{"id":"W1867579606","doi":"10.2139/ssrn.1335639","title":"Madoff: A Riot of Red Flags","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"FLAGS register; Political science; Computer science","score_opus":0.013075041346597356,"score_gpt":0.2022803561512219,"score_spread":0.18920531480462455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1867579606","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015856927,0.0064857597,0.0030934159,0.6879003,0.083732665,0.00005870879,0.0013096298,0.0017353375,0.1998272],"genre_scores_gemma":[0.13778156,0.002872043,0.0031088872,0.31628576,0.020521032,0.00009586582,0.0010659562,0.001955548,0.51631325],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952944,0.0008610646,0.00017612752,0.0005128358,0.001752622,0.0014029521],"domain_scores_gemma":[0.98877954,0.0021063143,0.0006817228,0.0016459568,0.0032595056,0.003526903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006239653,0.00075694843,0.00085334445,0.002151681,0.008180432,0.009592163,0.0021469072,0.012026355,0.060660884],"category_scores_gemma":[0.02842398,0.00046606106,0.0010269264,0.0014315255,0.0037960745,0.006908642,0.0051614856,0.012773623,0.016957363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086673404,0.00003134905,0.0008637177,0.000027244192,0.000011746582,0.00034498022,0.00035708808,0.00006395468,0.00012495427,0.026164448,0.9448683,0.02705559],"study_design_scores_gemma":[0.000020852613,0.000032778622,0.0013238608,0.000113261136,0.000007816181,0.00028755167,0.0007185975,0.00017658617,0.00018947241,0.011158786,0.9859407,0.000029751778],"about_ca_topic_score_codex":0.014043324,"about_ca_topic_score_gemma":0.02053144,"teacher_disagreement_score":0.060660884,"about_ca_system_score_codex":0.0032409378,"about_ca_system_score_gemma":0.0050546215,"threshold_uncertainty_score":0.20293087},"labels":[],"label_agreement":null},{"id":"W1868673107","doi":"10.2139/ssrn.2220313","title":"Individualism, Synchronized Stock Price Movements, and Stock Market Volatility","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Stock market bubble; Stock market; Volatility (finance); Financial economics; Market maker; Stock (firearms); Monetary economics; Economics; Business; Geography","score_opus":0.0148727685521219,"score_gpt":0.20714959732531563,"score_spread":0.19227682877319371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1868673107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99600035,0.00012025678,0.0010496659,0.00019234985,0.000007865282,0.000003840181,0.000044226166,0.000007112402,0.002574399],"genre_scores_gemma":[0.99956876,0.000040134728,0.00014371017,0.000020426727,0.000009699517,0.0000014333909,0.00002179436,0.0000017322278,0.00019229739],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997832,0.00006230284,0.000014848576,0.00006978691,0.000035420395,0.000034442844],"domain_scores_gemma":[0.9963831,0.0014786794,0.0014060091,0.0002517717,0.00009699751,0.00038349905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008583634,0.00011740377,0.00028448703,0.00043737108,0.00021242708,0.0009884231,0.00020274827,0.0005286303,0.0029825978],"category_scores_gemma":[0.0055258465,0.00017747705,0.00018693542,0.0003347678,0.00045686867,0.00060968543,0.0006130566,0.00048268156,0.00016512605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019663437,0.00045348215,0.8733362,0.00009070698,0.00076604006,0.0006096854,0.0012028962,0.014204928,0.012317082,0.025563868,0.0013182824,0.06817051],"study_design_scores_gemma":[0.000055880806,0.00025184487,0.9502257,0.000009405277,0.00010381291,0.00033065572,0.00038115555,0.015062113,0.0003988287,0.032472268,0.00068205234,0.000026218797],"about_ca_topic_score_codex":0.0012150261,"about_ca_topic_score_gemma":0.0015537011,"teacher_disagreement_score":0.0029825978,"about_ca_system_score_codex":0.00030426498,"about_ca_system_score_gemma":0.00019512321,"threshold_uncertainty_score":0.009977758},"labels":[],"label_agreement":null},{"id":"W1868778881","doi":"10.2139/ssrn.2427502","title":"An Experimental Examination of Asset Pricing Under Market Uncertainty","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Financial economics; Capital asset pricing model; Business; Economics; Actuarial science; Econometrics","score_opus":0.01501419525003859,"score_gpt":0.2274846150624867,"score_spread":0.21247041981244813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1868778881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98977965,0.000094032,0.0031621272,0.00036761267,0.00008024702,0.00004917374,0.00018928332,0.000043529886,0.006234352],"genre_scores_gemma":[0.99722964,0.00009927128,0.0012135125,0.00009082336,0.000043651064,0.00004536586,0.00010577486,0.000024882731,0.0011470458],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991647,0.00028380225,0.00008639152,0.00012503227,0.00025884886,0.00008133646],"domain_scores_gemma":[0.9761322,0.01833849,0.0017129894,0.0028120861,0.00060239347,0.00040177014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002007478,0.00034870996,0.0004931862,0.000310211,0.0003554974,0.0014283416,0.00080126995,0.001090923,0.012206298],"category_scores_gemma":[0.024213355,0.0002585669,0.00022019952,0.00040753194,0.0010796527,0.0015530512,0.0008584764,0.001431914,0.00055844267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.036266465,0.045868922,0.030827582,0.0014867457,0.00055510446,0.0014358234,0.0044729006,0.023642594,0.46388885,0.2618982,0.0089380015,0.12071881],"study_design_scores_gemma":[0.00862611,0.041696075,0.09037748,0.00023921902,0.0007300453,0.0021673075,0.0029224837,0.28034887,0.17906775,0.37790698,0.015533256,0.0003844525],"about_ca_topic_score_codex":0.0005949229,"about_ca_topic_score_gemma":0.00026249472,"teacher_disagreement_score":0.012206298,"about_ca_system_score_codex":0.00032354935,"about_ca_system_score_gemma":0.00041264918,"threshold_uncertainty_score":0.04083407},"labels":[],"label_agreement":null},{"id":"W1876537474","doi":"10.1108/ijmf-10-2014-0161","title":"Intraday analysis of currency ETFs","year":2015,"lang":"en","type":"article","venue":"International Journal of Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Arbitrage; Currency; Economics; Value (mathematics); Monetary economics; Financial economics; Business; Finance; Mathematics","score_opus":0.04255157303905205,"score_gpt":0.25666402934776467,"score_spread":0.21411245630871262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1876537474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825646,0.0005387478,0.009818132,0.00017390172,0.00004467239,0.000022202345,0.0007714807,0.00009499756,0.0059713535],"genre_scores_gemma":[0.996779,0.000121430494,0.0016211111,0.000011911911,0.000024569326,0.000007979939,0.00050986325,0.000016929693,0.00090706046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980552,0.00033862438,0.0002150905,0.0002912729,0.0009982411,0.000101572696],"domain_scores_gemma":[0.9866671,0.0058086407,0.00342735,0.001165639,0.0027456586,0.00018571207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029226036,0.00026814287,0.00038227096,0.0019906189,0.00023928021,0.0016662237,0.00040878775,0.0003979537,0.0017977238],"category_scores_gemma":[0.020286102,0.00011951831,0.00037351475,0.002546964,0.00030021396,0.0015309593,0.00057806063,0.0006721091,0.00035632105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017066792,0.00018831156,0.71603084,0.00029592332,0.000344594,0.0013604466,0.0013226265,0.049842887,0.01109839,0.021533716,0.0031646627,0.19311091],"study_design_scores_gemma":[0.000020967047,0.00050602196,0.7983954,0.00007852006,0.00009708554,0.0014349606,0.0010688249,0.1704967,0.010066419,0.007892849,0.009848961,0.00009333313],"about_ca_topic_score_codex":0.0018781153,"about_ca_topic_score_gemma":0.0007506147,"teacher_disagreement_score":0.0029226036,"about_ca_system_score_codex":0.0006659276,"about_ca_system_score_gemma":0.00025145564,"threshold_uncertainty_score":0.015456438},"labels":[],"label_agreement":null},{"id":"W1876729359","doi":"10.5539/ijef.v7n11p84","title":"Dynamic Return-Volume Relations in the Saudi Stock Market: Evidence from Quantiles Regressions","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quantile; Econometrics; Economics; Quantile regression; Sample (material); Stock market; Stock (firearms); Predictive power; Explanatory power; Financial economics; Statistics; Mathematics; Geography; Physics","score_opus":0.05434213309222415,"score_gpt":0.2613121392698291,"score_spread":0.20697000617760494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1876729359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981365,0.00025342632,0.00043418014,0.000103128295,0.0000041662174,0.0000032613034,0.00043890407,0.00001813243,0.00060822756],"genre_scores_gemma":[0.9990747,0.00011211759,0.00007176257,0.0000081239,0.000009201461,0.0000013607303,0.00057379843,0.0000035106366,0.00014558285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995053,0.00014157641,0.000047354824,0.00011354448,0.00011211169,0.000080120175],"domain_scores_gemma":[0.9916699,0.0036385695,0.0028799188,0.0007220632,0.00076883315,0.00032069546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013855645,0.00022147065,0.00026602423,0.0014775477,0.0001614976,0.0008828785,0.00043968193,0.00033799798,0.0019333905],"category_scores_gemma":[0.008401716,0.00018125055,0.00048416146,0.001970496,0.00028265966,0.0007433748,0.00044102626,0.00063318637,0.0004956666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013966831,0.000050626786,0.9875448,0.000019315105,0.00017135842,0.00013609114,0.00026254178,0.0021499167,0.00040419784,0.00056215335,0.00040223537,0.008157148],"study_design_scores_gemma":[0.0000053682184,0.000045856174,0.9887382,0.000006880621,0.000057394227,0.00006430068,0.00020689005,0.0096899755,0.0002554276,0.00041197534,0.00050909247,0.000008682678],"about_ca_topic_score_codex":0.01866489,"about_ca_topic_score_gemma":0.008870605,"teacher_disagreement_score":0.01866489,"about_ca_system_score_codex":0.00032690231,"about_ca_system_score_gemma":0.0002614943,"threshold_uncertainty_score":0.037112534},"labels":[],"label_agreement":null},{"id":"W1880733119","doi":"10.2139/ssrn.960755","title":"Spider Options and the S&amp;P 500 Index Options Market","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Index (typography); Spider; Business; Economics; Financial economics; Computer science; Physics; World Wide Web","score_opus":0.016895973172409,"score_gpt":0.22434276189293087,"score_spread":0.20744678872052186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1880733119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5712693,0.010129529,0.13600004,0.012593019,0.0004927535,0.000048266433,0.00055234187,0.0003690238,0.26854575],"genre_scores_gemma":[0.98184204,0.0012348879,0.0034502463,0.00015236881,0.00020752949,0.000012883753,0.00007639099,0.00001853301,0.013005096],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998481,0.00005676592,0.0000060973084,0.000019553783,0.000047484824,0.000021989146],"domain_scores_gemma":[0.999132,0.00043426265,0.00014605178,0.000055279794,0.00007470616,0.00015774112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055404723,0.0002766934,0.00032387773,0.0006184696,0.0005458169,0.0023121159,0.0004303265,0.0013996643,0.010822429],"category_scores_gemma":[0.00461501,0.00016156213,0.00026231108,0.00073351344,0.0011768775,0.004740356,0.000705333,0.0010938852,0.0006535997],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116977106,0.000034056273,0.0007753749,0.00002378636,0.000009286285,0.00018201348,0.00005684087,0.009680252,0.00067463337,0.97326094,0.003192846,0.011992898],"study_design_scores_gemma":[0.00001531018,0.000014801143,0.000576915,0.000008005555,0.000003950343,0.0001125104,0.00004051352,0.06335778,0.00017262383,0.9330752,0.00261506,0.0000072758617],"about_ca_topic_score_codex":0.0010782388,"about_ca_topic_score_gemma":0.00088522944,"teacher_disagreement_score":0.010822429,"about_ca_system_score_codex":0.0005357596,"about_ca_system_score_gemma":0.0004517027,"threshold_uncertainty_score":0.036204576},"labels":[],"label_agreement":null},{"id":"W1881936062","doi":"","title":"Size-Portfolio Idiosyncratic Volatility with Aggregate Return, Cross-Sectional Return, and GDP Growth: U.S. and International Evidence","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Volatility (finance); Portfolio; Economics; Financial economics; Systematic risk; Econometrics; Monetary economics; Rate of return on a portfolio; Modern portfolio theory","score_opus":0.03476782590454126,"score_gpt":0.23426025344936108,"score_spread":0.19949242754481983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1881936062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722116,0.009756862,0.0017228898,0.002664853,0.000046331366,0.000008833233,0.00096563087,0.000038009042,0.012584952],"genre_scores_gemma":[0.9949857,0.0035334306,0.00022482299,0.00012927673,0.00009077824,0.0000020213306,0.0006915522,0.0000063031935,0.00033618428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966097,0.0001065673,0.000037408998,0.00006919444,0.00007857173,0.000047378056],"domain_scores_gemma":[0.988514,0.0050450806,0.004591597,0.0007090579,0.0006258664,0.00051441806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014884319,0.00037232327,0.00031414162,0.0011870029,0.00025272495,0.0014238328,0.00029193232,0.00056043535,0.0023740218],"category_scores_gemma":[0.008264189,0.00022651965,0.0006756249,0.0031128058,0.0008958789,0.0012989028,0.0007631533,0.000868067,0.0003922633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099980374,0.000049087925,0.97400755,0.00004061467,0.0003471132,0.00021906054,0.00009099255,0.0018156039,0.00014205024,0.0024583586,0.0009660402,0.019763436],"study_design_scores_gemma":[0.000014640431,0.00008947685,0.98891616,0.000072472176,0.0002804365,0.00039519987,0.00021911955,0.0036382703,0.00054581184,0.0029373942,0.0028699667,0.000020955094],"about_ca_topic_score_codex":0.007874423,"about_ca_topic_score_gemma":0.007788153,"teacher_disagreement_score":0.007874423,"about_ca_system_score_codex":0.00030109938,"about_ca_system_score_gemma":0.00024352709,"threshold_uncertainty_score":0.015657187},"labels":[],"label_agreement":null},{"id":"W1886678515","doi":"10.1111/1911-3846.12149","title":"March Market Madness: The Impact of Value‐Irrelevant Events on the Market Pricing of Earnings News","year":2015,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Stanford Graduate School of Business","keywords":"Earnings; Value (mathematics); Market value; Financial economics; Business; Economics; Finance","score_opus":0.1373060603529611,"score_gpt":0.33014839980214916,"score_spread":0.19284233944918805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1886678515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956825,0.00008214281,0.0002579224,0.00015571548,0.000021331038,0.000008804107,0.000098400895,0.000012867373,0.0036802061],"genre_scores_gemma":[0.99931276,0.000026652642,0.00007077528,0.00006117829,0.000030316018,0.0000038056419,0.000072392555,0.0000065579557,0.00041559714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941146,0.00015790114,0.00003504388,0.00009975772,0.00019132151,0.000104473635],"domain_scores_gemma":[0.9749825,0.014874243,0.0064599765,0.0013578762,0.0006588601,0.001666529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012254011,0.00021389998,0.00034067334,0.00047593712,0.00033464973,0.0018621669,0.00040112008,0.00052951026,0.008154968],"category_scores_gemma":[0.022015827,0.00015914756,0.00027698348,0.00040576348,0.0005087912,0.0007250897,0.0007115337,0.0010914858,0.00051757577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00465769,0.0018292976,0.89686143,0.00015720453,0.00039792326,0.00081748236,0.0012958717,0.004561725,0.028367378,0.0032427239,0.0036870495,0.05412414],"study_design_scores_gemma":[0.000023106457,0.00025172776,0.9939079,0.000008650653,0.000054931214,0.000054800348,0.00027986759,0.0029236306,0.001153777,0.00080878445,0.0005183704,0.000014365485],"about_ca_topic_score_codex":0.003946895,"about_ca_topic_score_gemma":0.0035433536,"teacher_disagreement_score":0.008154968,"about_ca_system_score_codex":0.0005125004,"about_ca_system_score_gemma":0.000248086,"threshold_uncertainty_score":0.027281046},"labels":[],"label_agreement":null},{"id":"W1887511108","doi":"10.2139/ssrn.1784868","title":"Illiquidity Premia in the Equity Options Market","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; York University; University of Toronto","funders":"","keywords":"Equity (law); Economics; Risk premium; Valuation (finance); Financial economics; Equity premium puzzle; Moneyness; Valuation of options; Monetary economics; Business; Finance","score_opus":0.03654281075633907,"score_gpt":0.2543357315323978,"score_spread":0.21779292077605872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1887511108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624593,0.0019562384,0.024359927,0.0035294192,0.00007703037,0.000032033407,0.00018094154,0.00012895127,0.0072761727],"genre_scores_gemma":[0.99667645,0.0003999899,0.00075045717,0.00006854218,0.00009520043,0.000008077979,0.000053655804,0.0000141977525,0.0019334934],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99966955,0.00010305764,0.000033618155,0.00004448359,0.000062781655,0.000086491076],"domain_scores_gemma":[0.9887427,0.005561152,0.0035871987,0.00032004446,0.0007435581,0.0010454128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028332733,0.00046079254,0.00080225716,0.0017518012,0.00056373846,0.0035127986,0.0006237568,0.0011296964,0.0038141825],"category_scores_gemma":[0.013041489,0.0004702996,0.00036974752,0.0007911055,0.0017489677,0.0049303225,0.0009852918,0.0024036956,0.000294097],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067140005,0.00030642012,0.03119717,0.00018496168,0.00010396993,0.0020517497,0.0006749583,0.027988048,0.010104298,0.9042461,0.0027275542,0.019743249],"study_design_scores_gemma":[0.00014601786,0.00021503144,0.022914486,0.00005152866,0.00009110337,0.00052073033,0.00028092126,0.22464007,0.00282224,0.7471967,0.001017118,0.00010413713],"about_ca_topic_score_codex":0.0009636833,"about_ca_topic_score_gemma":0.0010036769,"teacher_disagreement_score":0.0038141825,"about_ca_system_score_codex":0.0008095877,"about_ca_system_score_gemma":0.0007884604,"threshold_uncertainty_score":0.014983952},"labels":[],"label_agreement":null},{"id":"W1888164781","doi":"10.2139/ssrn.1223863","title":"Rational Bias and Herding in Analysts' Recommendations","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Herding; Herd behavior; Incentive; Stock (firearms); Equity (law); Financial economics; Variance (accounting); Actuarial science; Economics; Business; Econometrics; Accounting; Microeconomics; Political science","score_opus":0.04738911190898779,"score_gpt":0.23348385675876263,"score_spread":0.18609474484977484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1888164781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87558395,0.0026570724,0.06705648,0.026977822,0.00044255093,0.0001403533,0.00030606758,0.0002749413,0.02656083],"genre_scores_gemma":[0.9915666,0.00031777367,0.0051506143,0.0008096272,0.00025414038,0.000025051031,0.000054834643,0.000021465898,0.0017998485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99468213,0.002414117,0.00041061928,0.0012034515,0.0008216334,0.00046804882],"domain_scores_gemma":[0.73194486,0.2277563,0.020683654,0.011493816,0.0064783655,0.0016429006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023199853,0.00037415553,0.0012447822,0.0017111193,0.001009622,0.0038774014,0.0013342979,0.004501148,0.008625768],"category_scores_gemma":[0.22874545,0.0006043717,0.00069389766,0.001078787,0.002365836,0.0048403605,0.0010724488,0.0027626401,0.00071563164],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026553168,0.00044917339,0.22240691,0.00066492497,0.001810988,0.0014266085,0.006018551,0.058780592,0.003517376,0.45586395,0.031125173,0.2152804],"study_design_scores_gemma":[0.0004981785,0.00022546372,0.048680298,0.00016057359,0.00053051737,0.0003514383,0.0014851898,0.23166348,0.0016976604,0.70911235,0.005475612,0.000119359574],"about_ca_topic_score_codex":0.0053430763,"about_ca_topic_score_gemma":0.005766908,"teacher_disagreement_score":0.023199853,"about_ca_system_score_codex":0.0016247706,"about_ca_system_score_gemma":0.0011765374,"threshold_uncertainty_score":0.122694016},"labels":[],"label_agreement":null},{"id":"W1891040431","doi":"10.2139/ssrn.1100174","title":"Flight-to-Liquidity and Global Equity Returns","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Market liquidity; Equity (law); Monetary economics; Treasury; Economics; Financial economics; Bond; Emerging markets; Equity risk; Business; Valuation (finance); Finance","score_opus":0.03358726148874567,"score_gpt":0.2439682071913879,"score_spread":0.21038094570264224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1891040431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922077,0.0006303515,0.00075248,0.0008264001,0.000019519324,0.000005324873,0.00014645039,0.000027084061,0.00538476],"genre_scores_gemma":[0.9991879,0.00009166089,0.00004960027,0.000042047937,0.000014261084,9.798158e-7,0.000049364884,0.0000029184744,0.00056122086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998964,0.000026657783,0.000007889778,0.000016190055,0.000012764685,0.000040078496],"domain_scores_gemma":[0.99614525,0.001519676,0.0014501284,0.00013793579,0.00019823901,0.0005487395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007874791,0.00021416426,0.00021958124,0.0005321593,0.00022331861,0.0019628485,0.00023104537,0.0013177703,0.008008235],"category_scores_gemma":[0.006086738,0.00011484814,0.00028479667,0.00050870125,0.0007821505,0.0019469906,0.0007447564,0.0012518216,0.00062310376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016287095,0.00033705286,0.824534,0.0001985754,0.0002429192,0.0019495584,0.00090566004,0.028810358,0.0040252036,0.092126064,0.0048420657,0.040399823],"study_design_scores_gemma":[0.000112536436,0.00045271116,0.8233799,0.000072395866,0.00014626767,0.0010480914,0.0014655538,0.033102207,0.0011837658,0.13582923,0.0031303365,0.00007703459],"about_ca_topic_score_codex":0.0015621418,"about_ca_topic_score_gemma":0.0022034107,"teacher_disagreement_score":0.008008235,"about_ca_system_score_codex":0.00050607487,"about_ca_system_score_gemma":0.0002508505,"threshold_uncertainty_score":0.026790261},"labels":[],"label_agreement":null},{"id":"W1891379785","doi":"10.2139/ssrn.2168785","title":"Do Hedge Fund Managers Manage Beta Risk?","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hedge fund; Business; Alternative beta; BETA (programming language); Actuarial science; Risk management; Finance; Open-end fund; Corporate governance; Institutional investor; Computer science","score_opus":0.025682711303794386,"score_gpt":0.2208690956258236,"score_spread":0.19518638432202923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1891379785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9696833,0.0022493082,0.0021807398,0.008909734,0.00013248839,0.000016567723,0.0000719464,0.0000316261,0.016724344],"genre_scores_gemma":[0.9979352,0.00033737914,0.00033332332,0.00036811,0.00008385203,0.0000044097264,0.000011258505,0.0000035378143,0.00092296145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953973,0.00014471397,0.000026877622,0.000047996822,0.000112780326,0.00012777017],"domain_scores_gemma":[0.9907086,0.0027267097,0.0046112593,0.000293652,0.00072551105,0.0009343034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022741682,0.00020183614,0.00022942707,0.0005732821,0.00027361442,0.0022018158,0.00029877256,0.0015632281,0.0030497322],"category_scores_gemma":[0.02676257,0.00018705988,0.000106131825,0.00027730665,0.00043267873,0.0025892449,0.00033426203,0.0005868546,0.0006861989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010514497,0.0007146009,0.6218816,0.00016329781,0.00030617873,0.00042616072,0.0035025552,0.0025918216,0.003709711,0.01963165,0.013423862,0.3325971],"study_design_scores_gemma":[0.00042857006,0.001160646,0.8321604,0.00038863832,0.00035688875,0.0013040499,0.010486658,0.025031269,0.0038310813,0.09563624,0.029123314,0.00009225979],"about_ca_topic_score_codex":0.00077737746,"about_ca_topic_score_gemma":0.001169854,"teacher_disagreement_score":0.0030497322,"about_ca_system_score_codex":0.0003440285,"about_ca_system_score_gemma":0.0006719499,"threshold_uncertainty_score":0.012027085},"labels":[],"label_agreement":null},{"id":"W1892114541","doi":"10.2139/ssrn.1463823","title":"Timing of CEO Stock Option Grants and Corporate Disclosures: New Evidence from the Post-SOX and Post-Backdating-Scandal Era","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stock options; Accounting; Business; Initial public offering; Stock (firearms); Executive compensation; Financial system; Corporate governance; Finance","score_opus":0.030068251228351862,"score_gpt":0.22511387889008727,"score_spread":0.19504562766173542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1892114541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99404645,0.0010128786,0.000078498786,0.0005496497,0.000039563474,0.000007390158,0.00077644206,0.000005684047,0.0034834126],"genre_scores_gemma":[0.99718434,0.0005645375,0.000063834996,0.00011666672,0.00013805463,0.0000061329097,0.0008778669,0.000008860124,0.0010396175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892247,0.00020699888,0.00015741127,0.0001672987,0.00031036392,0.00023554183],"domain_scores_gemma":[0.9395517,0.01887677,0.03383983,0.0017720598,0.0032157367,0.0027439238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024075394,0.00024359119,0.00045131258,0.0013607176,0.00057179615,0.0033851457,0.0006963488,0.0021060458,0.005248624],"category_scores_gemma":[0.027496908,0.00031410178,0.00026280773,0.0017721816,0.0006998419,0.0018520005,0.0011607236,0.0014795145,0.001034622],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015499165,0.0004494459,0.9823485,0.000070533766,0.00009581547,0.00033120142,0.00093764986,0.00016154304,0.00079072046,0.00076938473,0.0012646074,0.011230551],"study_design_scores_gemma":[0.000022158978,0.00010178385,0.9977227,0.000021502654,0.000030577205,0.000103654645,0.00054865633,0.00012159449,0.00014654791,0.00025528888,0.0009161962,0.000009254793],"about_ca_topic_score_codex":0.006306211,"about_ca_topic_score_gemma":0.016404733,"teacher_disagreement_score":0.006306211,"about_ca_system_score_codex":0.00038028634,"about_ca_system_score_gemma":0.0005100811,"threshold_uncertainty_score":0.017558455},"labels":[],"label_agreement":null},{"id":"W1894887027","doi":"10.2139/ssrn.2193740","title":"Managers’ Cost of Equity Capital Estimates: Empirical Evidence","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Equity capital markets; Cost of capital; Equity (law); Economics; Cost of equity; Business; Financial economics; Econometrics; Actuarial science; Finance; Private equity; Microeconomics; Political science; Profit (economics)","score_opus":0.0993302127133489,"score_gpt":0.30703170624531845,"score_spread":0.20770149353196954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1894887027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904123,0.0014341662,0.0012501829,0.0006953424,0.000023707156,0.0000109938255,0.00039083083,0.000013236599,0.0057692043],"genre_scores_gemma":[0.9981609,0.00034764456,0.00039063345,0.000052809013,0.000038883634,0.000005443988,0.00024080634,0.0000036932456,0.0007591923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983637,0.00061486306,0.000120462835,0.00021862777,0.0005561926,0.00012624734],"domain_scores_gemma":[0.92179,0.052208386,0.018494545,0.0026860351,0.004087189,0.0007338147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00459302,0.00033660268,0.00030170425,0.0013508288,0.00027038789,0.0014277243,0.00066949305,0.00077033025,0.003752967],"category_scores_gemma":[0.04622336,0.00033799084,0.00024347278,0.0010763428,0.0005004811,0.001384451,0.00053737394,0.0007089475,0.00047120426],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048536508,0.00024044435,0.9511189,0.000077147444,0.0003076248,0.000100273995,0.0006715108,0.0032053546,0.00040333573,0.0036657602,0.002828462,0.036895834],"study_design_scores_gemma":[0.000064055814,0.00014858722,0.98553014,0.000057986286,0.00017085069,0.00014397819,0.00063171436,0.006319958,0.00096018834,0.0026528987,0.0032899987,0.000029607289],"about_ca_topic_score_codex":0.0050130757,"about_ca_topic_score_gemma":0.004553206,"teacher_disagreement_score":0.0050130757,"about_ca_system_score_codex":0.0007781887,"about_ca_system_score_gemma":0.00034093665,"threshold_uncertainty_score":0.024290502},"labels":[],"label_agreement":null},{"id":"W190696538","doi":"10.2139/ssrn.442200","title":"Volume Autocorrelation, Information and Investor Trading","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Volume (thermodynamics); Autocorrelation; Business; Econometrics; Financial economics; Economics; Mathematics; Statistics","score_opus":0.011527660200658277,"score_gpt":0.18275139839299878,"score_spread":0.1712237381923405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W190696538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800719,0.0030377686,0.008079591,0.0013912774,0.00010238994,0.000011274925,0.0003752163,0.00012193455,0.0068087447],"genre_scores_gemma":[0.9977531,0.0003528675,0.00030671404,0.000040411054,0.00012297291,0.0000022974318,0.00012196892,0.000015502763,0.0012842558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943846,0.0001313371,0.0000722154,0.000118743854,0.00015280435,0.00008640802],"domain_scores_gemma":[0.93970096,0.045048546,0.010407017,0.0022726106,0.00132408,0.001246816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025558418,0.0002263968,0.000615478,0.0016321547,0.00034996754,0.0027396674,0.0005477536,0.0013029086,0.00711115],"category_scores_gemma":[0.046917398,0.00029890734,0.00039109646,0.0022825394,0.0010095898,0.0030515625,0.00066253485,0.0009382183,0.0007349783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015231854,0.00056727964,0.8027149,0.00020976632,0.0004549181,0.0013565922,0.00087574933,0.040644072,0.0033508083,0.06720269,0.005912044,0.075187944],"study_design_scores_gemma":[0.00012657077,0.00037173877,0.72410697,0.000056057295,0.00032984946,0.0010511039,0.0004962966,0.12582482,0.0013345897,0.14378367,0.0023979843,0.000120530174],"about_ca_topic_score_codex":0.0049699266,"about_ca_topic_score_gemma":0.0051692147,"teacher_disagreement_score":0.00711115,"about_ca_system_score_codex":0.0006485386,"about_ca_system_score_gemma":0.0005265423,"threshold_uncertainty_score":0.023789227},"labels":[],"label_agreement":null},{"id":"W1913814500","doi":"10.1111/j.1365-2966.2008.00453.x","title":"Viewpoint: Estimating the equity premium","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":200,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Predictability; Equity premium puzzle; Valuation (finance); Equity (law); Stock (firearms); Financial economics; Valuation effects; Econometrics; Capital asset pricing model; Finance; Mathematics; Geography; Statistics","score_opus":0.21840847986969922,"score_gpt":0.19846386828601495,"score_spread":0.01994461158368427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1913814500","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077413425,0.017134812,0.83191645,0.03505332,0.0020820987,0.000092511116,0.0021131665,0.0007169618,0.033477187],"genre_scores_gemma":[0.89772266,0.005923517,0.08069454,0.0019434636,0.0029768941,0.00004186343,0.0012677386,0.00009761576,0.009331624],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99860257,0.0005696035,0.000050504153,0.00038354116,0.00033674526,0.000057001515],"domain_scores_gemma":[0.99427587,0.0035895556,0.000509818,0.0004427108,0.0009132919,0.00026880487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005032371,0.00087478897,0.0007594943,0.0016269532,0.00027816911,0.0030728094,0.0011233483,0.0016697247,0.00499127],"category_scores_gemma":[0.03288794,0.00037672534,0.00039834558,0.0009804486,0.0007941017,0.0019022289,0.0010147836,0.0017116071,0.0019846049],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022529121,0.00014532707,0.08998068,0.00044932187,0.0006235796,0.0002783379,0.00022759648,0.064186655,0.0040652705,0.29786226,0.059671145,0.48228458],"study_design_scores_gemma":[0.00008918212,0.0001809623,0.04937061,0.00051608915,0.00028491608,0.00073120574,0.00028098724,0.3505171,0.004692008,0.5586003,0.034629,0.00010762937],"about_ca_topic_score_codex":0.009121361,"about_ca_topic_score_gemma":0.0030486681,"teacher_disagreement_score":0.009121361,"about_ca_system_score_codex":0.0008976404,"about_ca_system_score_gemma":0.0011871951,"threshold_uncertainty_score":0.02661407},"labels":[],"label_agreement":null},{"id":"W1914119832","doi":"10.5430/afr.v4n4p127","title":"The Pricing of Liquidity Risk and Accounting Quality in Canada","year":2015,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Market liquidity; Liquidity risk; Equity (law); Quality (philosophy); Economics; Accounting; Funding liquidity; Business; Accounting information system; Monetary economics","score_opus":0.10448463707238703,"score_gpt":0.3092561842703882,"score_spread":0.20477154719800117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1914119832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849858,0.001902833,0.00026701248,0.0022819007,0.000015726993,0.00001899148,0.0019371673,0.000014014381,0.008576569],"genre_scores_gemma":[0.99711037,0.00061337306,0.00014318568,0.00008036938,0.0000066557454,0.000002150642,0.0004785093,0.000003603558,0.0015617848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992988,0.000046564775,0.000025226402,0.0000631932,0.00030202258,0.0002641319],"domain_scores_gemma":[0.9949765,0.00089815917,0.0014760836,0.000118300006,0.0018520559,0.0006787948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079816236,0.00026273358,0.00031872647,0.0021285536,0.0024541472,0.0029572097,0.0007280733,0.00043670408,0.0035492596],"category_scores_gemma":[0.005781795,0.00018021365,0.0005354906,0.0048961807,0.0010387369,0.00073421316,0.00086123834,0.0006410665,0.00012189485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024584768,0.00008787772,0.9415291,0.00011751762,0.00017639277,0.0004115442,0.0023964462,0.004376654,0.0006775473,0.012754834,0.006173929,0.031052351],"study_design_scores_gemma":[0.000014957432,0.000018637222,0.9885662,0.0000492771,0.000052134423,0.00005533097,0.0017658854,0.0038105184,0.00024532736,0.0010805116,0.0042966623,0.000044455617],"about_ca_topic_score_codex":0.9966456,"about_ca_topic_score_gemma":0.9973636,"teacher_disagreement_score":0.94522107,"about_ca_system_score_codex":0.054778926,"about_ca_system_score_gemma":0.032794323,"threshold_uncertainty_score":0.3974508},"labels":[],"label_agreement":null},{"id":"W1917431900","doi":"10.5750/jgbe.v4i2.556","title":"APPLICATIONS OF AN SPRT-LIKE TEST IN PARI-MUTUEL WAGERING","year":2013,"lang":"en","type":"article","venue":"The Journal of Gambling Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Exploit; Hedge fund; Economics; Arbitrage; Econometrics; Test (biology); Hedge; Financial economics; Microeconomics; Computer science; Finance; Computer security","score_opus":0.03611673185062668,"score_gpt":0.22369205850178195,"score_spread":0.18757532665115528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1917431900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5950061,0.00027864813,0.3781371,0.0010891999,0.00025056137,0.00039565604,0.00077133003,0.000631781,0.023439528],"genre_scores_gemma":[0.9630771,0.000039024875,0.033265486,0.00022141212,0.00013310275,0.00021799067,0.00041786826,0.000087222754,0.0025408303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9696111,0.01691918,0.0019232923,0.0055857766,0.0045200824,0.0014405769],"domain_scores_gemma":[0.78666997,0.18897401,0.008920843,0.008786757,0.0041512684,0.0024971876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031770796,0.0007531913,0.0021101024,0.0030860442,0.0014970241,0.0026174334,0.0026907937,0.002329965,0.019095005],"category_scores_gemma":[0.16896762,0.00040092377,0.0019649765,0.0027784705,0.004530474,0.006061462,0.003533785,0.0028737152,0.0016289249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043427073,0.0014221595,0.23011152,0.0005783251,0.0020181758,0.00320275,0.0012677382,0.044036765,0.005389285,0.40382868,0.007366823,0.29643497],"study_design_scores_gemma":[0.00037909168,0.0036329671,0.07653403,0.00010957938,0.00027445325,0.0018455388,0.0010582454,0.5492119,0.005880801,0.3541372,0.006749435,0.00018670378],"about_ca_topic_score_codex":0.0005981865,"about_ca_topic_score_gemma":0.00034286646,"teacher_disagreement_score":0.031770796,"about_ca_system_score_codex":0.00086785323,"about_ca_system_score_gemma":0.0017525803,"threshold_uncertainty_score":0.16802204},"labels":[],"label_agreement":null},{"id":"W1917669416","doi":"10.2139/ssrn.2182839","title":"Dark Trading on Public Exchanges","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Dark liquidity; Business; High-frequency trading; Finance; Algorithmic trading","score_opus":0.04177916210266917,"score_gpt":0.22198216926988065,"score_spread":0.1802030071672115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1917669416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84400314,0.0005115872,0.010098182,0.00399435,0.00019015385,0.000017356066,0.00020408956,0.00015819835,0.14082289],"genre_scores_gemma":[0.99171704,0.00008504409,0.0002942642,0.00006271906,0.000051891453,0.00000336654,0.000038582355,0.000020965585,0.0077262097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995621,0.00015190564,0.000014593716,0.00007882986,0.00006988876,0.00012271697],"domain_scores_gemma":[0.9970988,0.0010229114,0.0005234477,0.0005120106,0.00023976796,0.0006031325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008115059,0.00021737255,0.00063863,0.00077651127,0.0016859537,0.0044842493,0.0005684829,0.0018150831,0.027070466],"category_scores_gemma":[0.006908682,0.0002831997,0.00028934784,0.0007767507,0.0018370401,0.0069054994,0.0019998022,0.0019791147,0.0010534648],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000343693,0.00009944593,0.0027703522,0.000033596803,0.000020292746,0.0003396257,0.00054368674,0.004048589,0.00089182856,0.97583437,0.0053587724,0.0097156875],"study_design_scores_gemma":[0.00006836089,0.000047877635,0.0026339986,0.00002317462,0.000018501156,0.0001247843,0.00089919096,0.025910312,0.00045180757,0.9639349,0.0058651315,0.00002188403],"about_ca_topic_score_codex":0.0018353742,"about_ca_topic_score_gemma":0.0016643306,"teacher_disagreement_score":0.027070466,"about_ca_system_score_codex":0.0010199915,"about_ca_system_score_gemma":0.00047746545,"threshold_uncertainty_score":0.09055972},"labels":[],"label_agreement":null},{"id":"W1918779432","doi":"","title":"Using sentiment to predict GDP growth and stock returns","year":2007,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alchemy (Canada)","funders":"","keywords":"Stock (firearms); Predictive power; Economics; Econometrics; Population; Capitalization; Financial economics; Geography","score_opus":0.036885971945453525,"score_gpt":0.2441948698693774,"score_spread":0.20730889792392387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1918779432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947179,0.00008908347,0.0026382557,0.00016085061,0.000013926429,0.000011487799,0.0004612482,0.000025629457,0.0018816286],"genre_scores_gemma":[0.99819165,0.00009671685,0.0009036805,0.000016243297,0.00001841253,0.0000067792457,0.00043790563,0.0000020889083,0.00032656916],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980015,0.0000854509,0.000013638816,0.000024772333,0.000045510005,0.000030552368],"domain_scores_gemma":[0.9978016,0.0010734007,0.00065993617,0.00008302737,0.00027903522,0.00010299474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000808362,0.000367465,0.00024349295,0.00089670735,0.000104305494,0.0006153578,0.00010113717,0.0002510728,0.00087389664],"category_scores_gemma":[0.0061175283,0.00009328922,0.0002613191,0.00073398754,0.00013195035,0.0005285041,0.00031563366,0.00034630115,0.0003597958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013972486,0.00006942425,0.96466595,0.000019280733,0.0000817251,0.00004310008,0.000071227674,0.0076436438,0.0006146053,0.0005564352,0.0006496329,0.025445249],"study_design_scores_gemma":[0.000018974513,0.00020719782,0.8606261,0.000020386718,0.00006001002,0.0000720465,0.00022480862,0.133753,0.0015404825,0.0020723015,0.0013874071,0.000017284929],"about_ca_topic_score_codex":0.0040969066,"about_ca_topic_score_gemma":0.003529528,"teacher_disagreement_score":0.0040969066,"about_ca_system_score_codex":0.00022696784,"about_ca_system_score_gemma":0.00015333516,"threshold_uncertainty_score":0.008146107},"labels":[],"label_agreement":null},{"id":"W1920666325","doi":"10.2139/ssrn.1682703","title":"Value at Risk and Hedge Fund Return - Does High Risk Bring High Return?","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Hedge fund; Risk–return spectrum; Business; Value (mathematics); Actuarial science; Value at risk; Economics; Finance; Risk management; Portfolio; Mathematics; Statistics","score_opus":0.009160926596980024,"score_gpt":0.19523013849323437,"score_spread":0.18606921189625433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1920666325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9496211,0.009357235,0.004393378,0.010676508,0.00020957922,0.000014562547,0.00014069356,0.000031514854,0.02555551],"genre_scores_gemma":[0.9980019,0.000577756,0.00012679756,0.00016116127,0.00014911678,0.0000018210935,0.000018878936,0.0000056665713,0.00095700676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994306,0.00021716485,0.000037632577,0.00008036104,0.00012581357,0.00010840833],"domain_scores_gemma":[0.9791549,0.013908833,0.0044140783,0.00056873483,0.00060307607,0.0013503529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016313166,0.0002846677,0.00067118445,0.0007371556,0.00038210844,0.0029844446,0.00043296363,0.00237946,0.008053774],"category_scores_gemma":[0.02316072,0.00021044658,0.000413027,0.0006424834,0.0022013865,0.0043156855,0.0009397716,0.0021459176,0.0010793174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031188221,0.0012509481,0.51575595,0.00049166736,0.0007915349,0.0022553676,0.0014775075,0.012777765,0.0033910333,0.3030288,0.0098031,0.14585751],"study_design_scores_gemma":[0.00016172309,0.0010349108,0.35658726,0.00017632828,0.00035006655,0.0017716453,0.0022291336,0.010760949,0.0013016993,0.62008023,0.005446573,0.000099444944],"about_ca_topic_score_codex":0.0004356997,"about_ca_topic_score_gemma":0.00040264428,"teacher_disagreement_score":0.008053774,"about_ca_system_score_codex":0.00050458405,"about_ca_system_score_gemma":0.00028579764,"threshold_uncertainty_score":0.026942551},"labels":[],"label_agreement":null},{"id":"W1921123345","doi":"10.2139/ssrn.1754669","title":"Risk Premium, Variance Premium and the Maturity Structure of Uncertainty","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"London School of Economics and Political Science","keywords":"Variance risk premium; Risk premium; Liquidity premium; Variance (accounting); Econometrics; Maturity (psychological); Economics; Volatility risk premium; Financial economics; Monetary economics; Stochastic volatility; Psychology; Accounting; Volatility (finance)","score_opus":0.005567397015766648,"score_gpt":0.18786407076799613,"score_spread":0.1822966737522295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1921123345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87819844,0.004560654,0.104462855,0.004129556,0.0000986629,0.000028388506,0.0002230409,0.00014020632,0.008158205],"genre_scores_gemma":[0.9967596,0.0005415097,0.0014882714,0.00003728022,0.00010329548,0.000004663391,0.000049578495,0.000013675575,0.0010022327],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99950624,0.00015409611,0.00003439566,0.000085521475,0.000119555414,0.000100152785],"domain_scores_gemma":[0.97401196,0.019817026,0.0036248544,0.00083196716,0.0008401348,0.00087396114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042869155,0.000492674,0.000645425,0.0012132903,0.0003289852,0.0033730024,0.0007252977,0.0023314084,0.0029393535],"category_scores_gemma":[0.044412337,0.0005768808,0.0005325477,0.00090394146,0.0014945762,0.006169094,0.0010323697,0.0025178576,0.00026405902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071169314,0.0001959244,0.0779238,0.00018153654,0.00026569655,0.0011082015,0.0007605564,0.1492772,0.0075390576,0.7175772,0.0029118203,0.04154741],"study_design_scores_gemma":[0.000057952937,0.00011430992,0.042032793,0.000044578625,0.00012267164,0.00048261817,0.00017642291,0.2858857,0.0008547647,0.669525,0.0006155938,0.000087620894],"about_ca_topic_score_codex":0.0016236377,"about_ca_topic_score_gemma":0.0011288164,"teacher_disagreement_score":0.0042869155,"about_ca_system_score_codex":0.0010054341,"about_ca_system_score_gemma":0.00056617643,"threshold_uncertainty_score":0.02267164},"labels":[],"label_agreement":null},{"id":"W1923717593","doi":"10.5539/ijef.v7n9p59","title":"An Empirical Analysis of the Seasonal Patterns in Aggregate Directors’ Trades","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Insider; Insider trading; Tobit model; Aggregate (composite); Statistic; Value (mathematics); Anomaly (physics); Econometrics; Ordinary least squares; Economics; Business; Financial economics; Monetary economics; Statistics; Mathematics; Finance; Political science","score_opus":0.04890069109704822,"score_gpt":0.2678204204184619,"score_spread":0.21891972932141365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1923717593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972996,0.000098474564,0.00033768525,0.00007693432,0.0000044798703,0.00000639945,0.0005918478,0.000010207018,0.0015742759],"genre_scores_gemma":[0.99857986,0.00005496121,0.00010755464,0.000008990731,0.000011193927,0.0000033740332,0.0007181707,0.0000026302018,0.0005132124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994369,0.00010875011,0.000063732805,0.00014135211,0.0001404076,0.00010892386],"domain_scores_gemma":[0.9929842,0.0024336532,0.0031329547,0.00039283768,0.000634241,0.0004221625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009230738,0.00012539155,0.0002303705,0.0012689341,0.00021824226,0.0008516951,0.00024932713,0.00027120917,0.0024929212],"category_scores_gemma":[0.0051381094,0.0001286424,0.00028140502,0.0022654643,0.0002352919,0.00060117606,0.00032208196,0.0004096319,0.00047398394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086000866,0.000039101724,0.98881114,0.000019243007,0.000049065082,0.00018082316,0.00045815256,0.0006413682,0.0005809303,0.00045071158,0.00060656643,0.008076846],"study_design_scores_gemma":[0.0000015926125,0.000033468787,0.9958812,0.0000048903644,0.000010581861,0.00009979964,0.0004998437,0.0025223931,0.00014804263,0.00012200532,0.00067153026,0.000004598951],"about_ca_topic_score_codex":0.007395267,"about_ca_topic_score_gemma":0.008815279,"teacher_disagreement_score":0.007395267,"about_ca_system_score_codex":0.00037999955,"about_ca_system_score_gemma":0.00024740995,"threshold_uncertainty_score":0.014704466},"labels":[],"label_agreement":null},{"id":"W1926974261","doi":"10.1080/15427560.2015.1034858","title":"Stock Market Image: The Good, the Bad, and the Ugly","year":2015,"lang":"en","type":"article","venue":"Journal of Behavioral Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Stock market; Stock (firearms); Business; Perception; Financial economics; Marketing; Economics; Actuarial science","score_opus":0.04716384196197405,"score_gpt":0.2574860456583368,"score_spread":0.21032220369636279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1926974261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9561959,0.002218275,0.0023567567,0.002344111,0.00023039186,0.00009593634,0.00019882206,0.00002938681,0.036330394],"genre_scores_gemma":[0.99722254,0.00050502876,0.0009874366,0.00029218453,0.00006498153,0.000023342649,0.00007203508,0.0000048068955,0.0008276213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917006,0.00017575992,0.00005612853,0.00003015622,0.0004929854,0.00007500062],"domain_scores_gemma":[0.9976133,0.00043133975,0.00079717423,0.00011385604,0.00047680593,0.0005675321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093345786,0.00026341455,0.00021278548,0.0015076243,0.00053637556,0.0017513235,0.00028124917,0.0005050053,0.002261974],"category_scores_gemma":[0.004435584,0.00011386248,0.00034756196,0.0005627329,0.0020360413,0.0017890416,0.0014678151,0.0008903752,0.00024850146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077523745,0.00060800655,0.62033355,0.0005160237,0.00032451333,0.0005709615,0.023860611,0.00065073255,0.0076740026,0.026465591,0.012552939,0.3056679],"study_design_scores_gemma":[0.000055705965,0.00080048124,0.91814995,0.0004025589,0.00014168736,0.001469638,0.036795285,0.0016951441,0.0013265529,0.010913732,0.028151236,0.000098107084],"about_ca_topic_score_codex":0.0014964524,"about_ca_topic_score_gemma":0.001987571,"teacher_disagreement_score":0.002261974,"about_ca_system_score_codex":0.00077658525,"about_ca_system_score_gemma":0.0004532652,"threshold_uncertainty_score":0.007567048},"labels":[],"label_agreement":null},{"id":"W1931653375","doi":"10.2139/ssrn.2318897","title":"Closed-Form Solutions for Option Hedging with Market Impact","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Financial economics; Business; Econometrics","score_opus":0.023911255778544208,"score_gpt":0.23259452451830678,"score_spread":0.20868326873976256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1931653375","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011288928,0.0011102018,0.97094357,0.0012689087,0.00019259748,0.00010923827,0.00021182734,0.00013334973,0.014741324],"genre_scores_gemma":[0.6358509,0.003770569,0.29876414,0.0010173739,0.00060459046,0.00091278943,0.0010884413,0.00048782857,0.05750335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991002,0.00044539885,0.000050384435,0.00013010456,0.00016478909,0.00010911939],"domain_scores_gemma":[0.99162614,0.0067284517,0.00036235864,0.00033519985,0.00072341674,0.0002243904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039370335,0.0016200515,0.001558754,0.0009885253,0.00072293624,0.0034367382,0.0021042058,0.005544522,0.015380223],"category_scores_gemma":[0.023176719,0.0010277805,0.001477409,0.0012219405,0.001930858,0.003673718,0.0023643991,0.0038875956,0.0014302867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077626006,0.00014414258,0.0006457777,0.00041791255,0.0000815758,0.00027479648,0.00029322025,0.50472254,0.0012097816,0.45511284,0.00607776,0.030942025],"study_design_scores_gemma":[0.00002217151,0.000011461727,0.00010823577,0.000037710946,0.000011576239,0.000055997687,0.000044192035,0.8780729,0.00017821149,0.12038292,0.0010569219,0.000017803643],"about_ca_topic_score_codex":0.0038194058,"about_ca_topic_score_gemma":0.004078882,"teacher_disagreement_score":0.015380223,"about_ca_system_score_codex":0.001124729,"about_ca_system_score_gemma":0.0020409594,"threshold_uncertainty_score":0.05145198},"labels":[],"label_agreement":null},{"id":"W1931958981","doi":"","title":"Loonies Under Your Bed: Misdirected Attention and the Diluted Value of Stock Market Reports","year":2007,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock market; Financial economics; Stock (firearms); Economics; Value (mathematics); Politics; Business; Political science; Engineering; Computer science","score_opus":0.019383094897770244,"score_gpt":0.19625783228946997,"score_spread":0.17687473739169973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1931958981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9093145,0.002618914,0.0091362065,0.028419964,0.00044769503,0.00006328609,0.000306013,0.00020299542,0.049490575],"genre_scores_gemma":[0.9939539,0.000253882,0.0014231626,0.0024297957,0.00023030293,0.00002277387,0.00004706743,0.000056050783,0.0015830082],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99115074,0.0055645723,0.0003688824,0.00076860876,0.0019048174,0.0002424657],"domain_scores_gemma":[0.80771655,0.15647149,0.018204201,0.009797815,0.006176173,0.0016338034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011449838,0.00031837693,0.00045797817,0.0016338106,0.0014648673,0.005064326,0.00072546565,0.0016515394,0.006574824],"category_scores_gemma":[0.16722053,0.00043213068,0.00027453396,0.0011554005,0.0053981245,0.00584214,0.0021390317,0.0023079673,0.0006338273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047308304,0.0007486842,0.31803527,0.0008677098,0.0005914787,0.0022872298,0.122550204,0.0017149585,0.017174792,0.1637615,0.047256667,0.3202807],"study_design_scores_gemma":[0.0004502596,0.0011531694,0.5150041,0.0008985175,0.00068696414,0.0030954068,0.049443573,0.012660447,0.020045234,0.33914396,0.056895047,0.0005233626],"about_ca_topic_score_codex":0.0030378758,"about_ca_topic_score_gemma":0.0020974472,"teacher_disagreement_score":0.011449838,"about_ca_system_score_codex":0.0015685576,"about_ca_system_score_gemma":0.00044991568,"threshold_uncertainty_score":0.060553312},"labels":[],"label_agreement":null},{"id":"W1933253016","doi":"10.5539/ijef.v7n9p267","title":"Is the Weekend Effect Really a Weekend Effect?","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Weekend effect; Names of the days of the week; Stock (firearms); Demographic economics; Economics; History; Medicine; Archaeology","score_opus":0.025332425264616036,"score_gpt":0.23446439202458808,"score_spread":0.20913196675997203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1933253016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8586022,0.007759923,0.024496151,0.011221358,0.0018966722,0.00015723117,0.0029487861,0.0002740581,0.092643596],"genre_scores_gemma":[0.985939,0.0015040698,0.0013745697,0.0018330802,0.0009691959,0.000042670006,0.00050085766,0.00009585766,0.0077405972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989343,0.00026308245,0.000070174756,0.0002905951,0.00025138742,0.00019042107],"domain_scores_gemma":[0.9774491,0.012734286,0.0059522963,0.0017809711,0.0010309508,0.0010524081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002145791,0.00024464066,0.00077802927,0.0004744898,0.00048187378,0.0015652529,0.0007249314,0.0008089018,0.014428054],"category_scores_gemma":[0.013969746,0.00018842034,0.0007293059,0.0007344336,0.0009356301,0.002289577,0.0011321807,0.0014736722,0.0013101241],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034796922,0.00093620626,0.7642373,0.0009188025,0.0010846965,0.0010260149,0.0030464435,0.002088605,0.0056621092,0.053118635,0.02217472,0.14222668],"study_design_scores_gemma":[0.00007692014,0.00058040384,0.94671535,0.00012754883,0.00031457623,0.0003345815,0.0017706832,0.0012213571,0.002097524,0.017288912,0.029387252,0.00008485515],"about_ca_topic_score_codex":0.0037915367,"about_ca_topic_score_gemma":0.0049542324,"teacher_disagreement_score":0.014428054,"about_ca_system_score_codex":0.00058374763,"about_ca_system_score_gemma":0.00052676117,"threshold_uncertainty_score":0.04826665},"labels":[],"label_agreement":null},{"id":"W1933654248","doi":"10.2139/ssrn.1928290","title":"How Do Local Markets Respond to Global Risk Factor Differently in Various Market Regimes? A Study of Country Exchange Traded Funds","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Business; Monetary economics; Derivatives market; Market risk; Financial economics; Financial system; International economics; Economics; Finance; Futures contract","score_opus":0.01740379740221675,"score_gpt":0.2220223276006157,"score_spread":0.20461853019839893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1933654248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99788254,0.0001097702,0.0001663341,0.00016810713,0.0000014835102,0.000003024849,0.000024649717,0.0000020415978,0.0016420996],"genre_scores_gemma":[0.9995764,0.00006507351,0.00003279033,0.000021514374,0.0000031527343,0.0000016600659,0.000017540206,0.0000015695783,0.00028038834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997491,0.000088548855,0.000009984574,0.000041256717,0.000019597957,0.00009152259],"domain_scores_gemma":[0.9981693,0.00087007205,0.0005401133,0.00011284223,0.00008836645,0.00021922715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095686305,0.00015565504,0.00055829633,0.0006212678,0.00041842734,0.0028324558,0.00038059684,0.0010489199,0.003174265],"category_scores_gemma":[0.0041368725,0.0001505407,0.00039741877,0.0010502152,0.0010688198,0.0029840488,0.0010125759,0.00073668157,0.00022072355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012791797,0.00037453798,0.92303014,0.000109242574,0.00048260612,0.00087554764,0.00578305,0.0076811668,0.0045645786,0.03266104,0.00093534664,0.02222343],"study_design_scores_gemma":[0.000070680166,0.00029867346,0.96273935,0.000031956333,0.0002737741,0.00022638067,0.010738483,0.008810603,0.00091115327,0.014265415,0.0015997904,0.000033848868],"about_ca_topic_score_codex":0.0033925297,"about_ca_topic_score_gemma":0.0048079314,"teacher_disagreement_score":0.0033925297,"about_ca_system_score_codex":0.0005001365,"about_ca_system_score_gemma":0.00022817882,"threshold_uncertainty_score":0.010618985},"labels":[],"label_agreement":null},{"id":"W1934005902","doi":"10.2139/ssrn.374422","title":"Insider Trading and Corporate Governance Structure:&#x0D;Evidence from Southeast Asia","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Corporate governance; Insider trading; Business; Insider; Accounting; Financial system; Financial economics; Economics; Finance; Political science; Law","score_opus":0.029835950583083883,"score_gpt":0.1985913261633917,"score_spread":0.16875537558030781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1934005902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99685246,0.0003725249,0.000055096476,0.00017164162,0.000002746699,0.0000025184706,0.0001485868,0.0000015536116,0.002392993],"genre_scores_gemma":[0.9986494,0.000524388,0.000040591996,0.000050334045,0.000008130982,0.0000019649412,0.00017439705,0.0000015635071,0.0005492375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973744,0.000072084156,0.000031910826,0.000050615006,0.00004565595,0.00006223236],"domain_scores_gemma":[0.9923977,0.0020735788,0.0038840433,0.0004300029,0.0006391767,0.0005755221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010094484,0.00022289126,0.00026317307,0.000795863,0.0006118393,0.0013800287,0.00033714526,0.00029452972,0.0038253667],"category_scores_gemma":[0.0027514845,0.00016545955,0.0002535951,0.002039534,0.0011443197,0.001386091,0.0010060708,0.00044582086,0.00038758604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007262723,0.000047942453,0.9863214,0.000035854406,0.000054480115,0.00025995076,0.0044422187,0.0000538976,0.00023367371,0.00065453746,0.0002940172,0.007529446],"study_design_scores_gemma":[0.000006130765,0.000062256564,0.9943271,0.000040027317,0.000058796126,0.0001270556,0.0040016286,0.00013233343,0.00018870576,0.00022975924,0.00082221243,0.0000038142225],"about_ca_topic_score_codex":0.02454554,"about_ca_topic_score_gemma":0.052510727,"teacher_disagreement_score":0.02454554,"about_ca_system_score_codex":0.0003696703,"about_ca_system_score_gemma":0.0004934904,"threshold_uncertainty_score":0.048805356},"labels":[],"label_agreement":null},{"id":"W1934518241","doi":"10.2139/ssrn.2249530","title":"Portfolio Selection with a Systematic Skewness Constraint","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Selection (genetic algorithm); Portfolio; Skewness; Constraint (computer-aided design); Econometrics; Actuarial science; Computer science; Economics; Business; Financial economics; Mathematics; Artificial intelligence","score_opus":0.009574121500919078,"score_gpt":0.18067708067924926,"score_spread":0.17110295917833018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1934518241","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24505141,0.0012892439,0.7301357,0.0033171382,0.0001847323,0.00010676935,0.0004577456,0.00042617702,0.019031065],"genre_scores_gemma":[0.96355915,0.00048278904,0.02111866,0.00036179027,0.00030546443,0.00006958533,0.00026427195,0.00007662289,0.013761634],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986841,0.000613937,0.000093634604,0.00020255342,0.00022108393,0.00018468835],"domain_scores_gemma":[0.98800975,0.0075023086,0.0017102773,0.001279047,0.00086946535,0.00062918785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035936725,0.0006434081,0.0017986113,0.0008019456,0.00034524003,0.0020610383,0.0010091003,0.0017683426,0.006512579],"category_scores_gemma":[0.021870207,0.00079278497,0.0007401066,0.0014430047,0.0009504764,0.0026429547,0.0016129751,0.0013244913,0.0009624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006786264,0.00017792308,0.015613011,0.00026042492,0.00047544896,0.003076143,0.00012652868,0.39008024,0.0063368957,0.47659785,0.012797662,0.09377932],"study_design_scores_gemma":[0.0002619732,0.00013976808,0.003095063,0.00003275875,0.000054649416,0.00068187655,0.000026990672,0.7230241,0.00083849445,0.27054638,0.0012643713,0.000033493896],"about_ca_topic_score_codex":0.00063678087,"about_ca_topic_score_gemma":0.0005687897,"teacher_disagreement_score":0.006512579,"about_ca_system_score_codex":0.00043252614,"about_ca_system_score_gemma":0.00074780453,"threshold_uncertainty_score":0.02178675},"labels":[],"label_agreement":null},{"id":"W193986910","doi":"10.1007/978-0-387-77117-5_69","title":"Spurious Regression and Data Mining in Conditional Asset Pricing Models","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Spurious relationship; Econometrics; Capital asset pricing model; Autocorrelation; Stock (firearms); Regression analysis; Regression; Economics; Statistics; Mathematics; Geography","score_opus":0.09868829822583454,"score_gpt":0.25468400409110525,"score_spread":0.15599570586527073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W193986910","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037828656,0.003255388,0.9906205,0.00084243447,0.00012225378,0.000011958527,0.00010752343,0.00039755853,0.00085951056],"genre_scores_gemma":[0.258667,0.007510463,0.71978366,0.0007312346,0.0017545855,0.00022823965,0.001807465,0.0007232677,0.008794084],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99641967,0.0020461057,0.00027219337,0.0005160517,0.0006456666,0.00010027626],"domain_scores_gemma":[0.96560395,0.029827148,0.00075135095,0.0026722944,0.00096637715,0.00017894294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006927607,0.0010991419,0.0019570738,0.0014133864,0.00061935704,0.0023190095,0.0025446087,0.0017776638,0.0023218123],"category_scores_gemma":[0.043394554,0.001236462,0.0014954061,0.0030707638,0.0022518258,0.0038635982,0.0022181894,0.0036845922,0.00093250227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020225004,0.0001800325,0.0070834407,0.00069311843,0.00039717887,0.0004236877,0.00032208237,0.22828363,0.001197844,0.35592017,0.021906864,0.38338965],"study_design_scores_gemma":[0.000011504592,0.000013476887,0.00034022695,0.000036275957,0.000026573513,0.00007939115,0.000011977096,0.72877616,0.00047513758,0.2675193,0.00269614,0.000013822031],"about_ca_topic_score_codex":0.0019577353,"about_ca_topic_score_gemma":0.0023202586,"teacher_disagreement_score":0.006927607,"about_ca_system_score_codex":0.0007472806,"about_ca_system_score_gemma":0.0010016313,"threshold_uncertainty_score":0.036637127},"labels":[],"label_agreement":null},{"id":"W1942596096","doi":"10.2139/ssrn.2009192","title":"Formal Identification of Sentiment Effects in Asset Markets","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Identification (biology); Business; Asset (computer security); Financial economics; Economics; Financial system; Monetary economics; Computer science; Computer security","score_opus":0.009885676833657535,"score_gpt":0.21291639890815986,"score_spread":0.20303072207450232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942596096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49023986,0.0006298499,0.4633119,0.0014088803,0.00014381601,0.0001786601,0.00042543304,0.00047491203,0.04318667],"genre_scores_gemma":[0.98198366,0.00028652023,0.014009028,0.000085460415,0.00015690106,0.00005482742,0.00019272417,0.000037190614,0.0031937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99928916,0.00031456785,0.000051814157,0.00009928996,0.0001176468,0.00012743892],"domain_scores_gemma":[0.99109787,0.006455623,0.0009790099,0.0006261236,0.0005396777,0.0003016395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003265071,0.0005483232,0.0011024567,0.0010818889,0.00052198867,0.002273558,0.0007719411,0.0012829357,0.010321579],"category_scores_gemma":[0.017790593,0.000513028,0.0007972266,0.0006517765,0.0014451046,0.0045939772,0.0015281803,0.001318583,0.00056296337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083522944,0.00015305525,0.004120609,0.00014039663,0.000042969783,0.00024803405,0.00024319511,0.011313179,0.0026702094,0.9631613,0.0014589058,0.016364755],"study_design_scores_gemma":[0.00007119845,0.000057571175,0.003578957,0.000044478435,0.000033109343,0.00008052529,0.00010031977,0.1904582,0.0008461511,0.80350715,0.0012049668,0.000017358969],"about_ca_topic_score_codex":0.0008236718,"about_ca_topic_score_gemma":0.0009295377,"teacher_disagreement_score":0.010321579,"about_ca_system_score_codex":0.00048715476,"about_ca_system_score_gemma":0.0007983715,"threshold_uncertainty_score":0.03452915},"labels":[],"label_agreement":null},{"id":"W1944096508","doi":"10.2139/ssrn.1918044","title":"Liquidity Comovement in the Foreign Exchange Market","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Market liquidity; Monetary economics; Foreign exchange market; Foreign exchange; Business; Financial system; Economics; International economics","score_opus":0.041447204052117735,"score_gpt":0.2065212700725732,"score_spread":0.16507406602045546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1944096508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99647933,0.0004793262,0.00071857567,0.00049336936,0.000012832359,0.0000022402355,0.00005881543,0.000029291263,0.0017262015],"genre_scores_gemma":[0.9993197,0.00008725168,0.000059596565,0.000012607915,0.000025010422,0.0000010220191,0.00002905039,0.000005195654,0.0004606946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998055,0.00008457575,0.00001349548,0.00002572546,0.000027812988,0.00004296174],"domain_scores_gemma":[0.9969216,0.0016448317,0.00068601064,0.000103798455,0.00026608663,0.00037770317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010835645,0.0003452593,0.0006428436,0.0011669318,0.00046454457,0.0029477738,0.00032901936,0.00083327875,0.0033211366],"category_scores_gemma":[0.006565263,0.00020116368,0.00028733365,0.0010133538,0.0006283793,0.0024838015,0.00076370116,0.000784287,0.00028555605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012330231,0.0011937907,0.481067,0.00041268638,0.00056949223,0.009797273,0.0041946718,0.12761451,0.047788072,0.21469773,0.008987694,0.09134677],"study_design_scores_gemma":[0.00049471366,0.0007302307,0.40359035,0.000069785936,0.00035017214,0.0015629611,0.002913884,0.41665018,0.007076401,0.16390364,0.0024723494,0.0001852899],"about_ca_topic_score_codex":0.002396846,"about_ca_topic_score_gemma":0.0016428729,"teacher_disagreement_score":0.0033211366,"about_ca_system_score_codex":0.0006554314,"about_ca_system_score_gemma":0.00035544284,"threshold_uncertainty_score":0.011110306},"labels":[],"label_agreement":null},{"id":"W1946041839","doi":"10.1016/j.pacfin.2015.10.007","title":"Are candlestick trading strategies effective in certain stocks with distinct features?","year":2015,"lang":"en","type":"article","venue":"Pacific-Basin Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Market liquidity; Technical analysis; Equity (law); Financial economics; Stock (firearms); Trading strategy; Business; Stock exchange; Economics; Econometrics; Finance; Engineering","score_opus":0.029505414021776057,"score_gpt":0.2261416647915545,"score_spread":0.19663625076977845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1946041839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944108,0.00010307134,0.00055471784,0.00023116947,0.000012886233,0.000009240836,0.000039529277,0.000009391991,0.004629125],"genre_scores_gemma":[0.9992539,0.00003746687,0.00026342325,0.000049064656,0.000012536885,0.000001997965,0.000035325425,0.000002142351,0.0003441153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997031,0.00003218547,0.00003061468,0.000063392334,0.00006355056,0.00010716648],"domain_scores_gemma":[0.99696785,0.0009186274,0.0010379729,0.00027727507,0.00026535676,0.00053281605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008878062,0.00022054452,0.00037723366,0.00077159423,0.00055282074,0.0019307672,0.00058241683,0.0009293137,0.0045341314],"category_scores_gemma":[0.006615342,0.0001543151,0.0003809669,0.0004124504,0.00077560346,0.002043078,0.00059805746,0.00060003466,0.00040761277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018410977,0.00090782414,0.82718474,0.00010115604,0.00040314585,0.0009453851,0.00058295106,0.0018255902,0.027642092,0.018687416,0.0009807489,0.11889784],"study_design_scores_gemma":[0.0001780599,0.0006163144,0.94699043,0.000051487554,0.0002331197,0.0009278394,0.0022522463,0.015686586,0.0061944216,0.025175104,0.0016539786,0.00004034142],"about_ca_topic_score_codex":0.002010481,"about_ca_topic_score_gemma":0.0041624336,"teacher_disagreement_score":0.0045341314,"about_ca_system_score_codex":0.00034267807,"about_ca_system_score_gemma":0.0005394115,"threshold_uncertainty_score":0.01516819},"labels":[],"label_agreement":null},{"id":"W1947013117","doi":"10.2139/ssrn.302829","title":"Investor Sentiment in Japanese and U.S. Daily Mutual Fund Flows","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mutual fund; Equity (law); Index (typography); Business; Closed-end fund; Index fund; Stock market index; Stock (firearms); Monetary economics; Economics; Stock market; Financial economics; Institutional investor; Finance; Open-end fund; Geography; Political science","score_opus":0.027885857298877527,"score_gpt":0.20509302721194245,"score_spread":0.17720716991306493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1947013117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984743,0.000083378705,0.000022914783,0.00008788986,0.0000053106974,0.0000012230923,0.000120769066,0.0000012983037,0.0012028894],"genre_scores_gemma":[0.9993049,0.00007352013,0.000015916501,0.000018342264,0.000014445225,0.0000015701835,0.00016658548,0.0000016886368,0.0004030875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998584,0.000023721008,0.00001899743,0.000025726058,0.000024833715,0.000048420214],"domain_scores_gemma":[0.9979876,0.00042153182,0.0009407283,0.000041455845,0.00029124648,0.00031745023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063155335,0.000106935986,0.00018457025,0.0007751346,0.00033384864,0.0011815424,0.000113739865,0.00041723644,0.001676141],"category_scores_gemma":[0.004898744,0.0000884601,0.00021514996,0.00096653786,0.00024969204,0.0007564336,0.0006919859,0.0003595587,0.0002328586],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030400575,0.00003666787,0.9897967,0.000019114657,0.000043093052,0.00014785427,0.0013057012,0.00041485977,0.00061960536,0.0009774644,0.0010426261,0.005292401],"study_design_scores_gemma":[0.0000028461675,0.000014377729,0.9981286,0.0000062934687,0.000025338963,0.000026042651,0.0005987166,0.0006596461,0.00008291387,0.00012363418,0.0003270319,0.0000045908296],"about_ca_topic_score_codex":0.013685056,"about_ca_topic_score_gemma":0.028561153,"teacher_disagreement_score":0.013685056,"about_ca_system_score_codex":0.00063872646,"about_ca_system_score_gemma":0.0002964903,"threshold_uncertainty_score":0.027210772},"labels":[],"label_agreement":null},{"id":"W1948972648","doi":"10.1177/0312896214565118","title":"Delisted stocks and momentum: Evidence from a new Australian dataset","year":2015,"lang":"en","type":"article","venue":"Australian Journal of Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Profitability index; Momentum (technical analysis); Market liquidity; Sample (material); Financial economics; Economics; Business; Econometrics; Monetary economics; Finance; Physics","score_opus":0.1546609744793843,"score_gpt":0.281924498342124,"score_spread":0.12726352386273973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1948972648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98595077,0.0004942171,0.000387239,0.00057306024,0.000026050202,0.00004003252,0.010103748,0.000029427396,0.002395404],"genre_scores_gemma":[0.9583974,0.00055229006,0.0009429561,0.00026423484,0.00005964363,0.000060404836,0.03666768,0.000022118922,0.0030333502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988181,0.00029643287,0.00013265645,0.00020707892,0.0003689267,0.00017687991],"domain_scores_gemma":[0.9904231,0.0018465116,0.004077181,0.0011639918,0.0016719014,0.0008172373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020135802,0.00033349745,0.0004764166,0.0018728195,0.0006155018,0.0013501381,0.0008433902,0.0005288787,0.0017227664],"category_scores_gemma":[0.012726662,0.0003253688,0.0004703583,0.003405832,0.00048186394,0.0010761004,0.0020805725,0.0010390729,0.0008090567],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002895601,0.00024824517,0.96293914,0.00016120549,0.00035960463,0.00051743153,0.0016675622,0.0009142778,0.00048778782,0.0008646729,0.0139239915,0.017626477],"study_design_scores_gemma":[0.000019656527,0.000045111876,0.98940957,0.000030382898,0.00005111319,0.00012070181,0.00042608118,0.0018896837,0.00014076525,0.00021467186,0.0076372153,0.000015191023],"about_ca_topic_score_codex":0.105118796,"about_ca_topic_score_gemma":0.14810738,"teacher_disagreement_score":0.105118796,"about_ca_system_score_codex":0.00078606774,"about_ca_system_score_gemma":0.0009431991,"threshold_uncertainty_score":0.20901388},"labels":[],"label_agreement":null},{"id":"W1952206409","doi":"10.2139/ssrn.1628032","title":"Do Derivative Markets Contain Useful Information for Signaling 'Hot Money' Flows?","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Derivative (finance); Monetary economics; Business; Economics; Financial economics","score_opus":0.013689230948213973,"score_gpt":0.2112045367887642,"score_spread":0.19751530584055021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1952206409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85565245,0.003472089,0.09040942,0.008936627,0.0004792504,0.00003721897,0.0015831721,0.0004848386,0.038944982],"genre_scores_gemma":[0.994449,0.0007590579,0.0028159798,0.0002219128,0.00024268075,0.0000051321986,0.00019019676,0.000035918103,0.0012802404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996039,0.00010689803,0.000032428867,0.00008123598,0.00010352862,0.000071961134],"domain_scores_gemma":[0.986484,0.008750463,0.0022229918,0.0014027711,0.0007364922,0.00040332513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019235343,0.00045741012,0.0008880524,0.001738751,0.0005101453,0.004275788,0.00091574684,0.0027154335,0.008257939],"category_scores_gemma":[0.024528677,0.00054869807,0.0002798332,0.0013337313,0.0014521048,0.011706485,0.00080474856,0.0012794152,0.0011346046],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027538396,0.00060858147,0.08199407,0.0009397971,0.0003798148,0.002443504,0.0011060154,0.026466507,0.030503055,0.5861299,0.016488278,0.25018665],"study_design_scores_gemma":[0.00020109335,0.00030203495,0.04695878,0.00016406843,0.0002202279,0.0014052878,0.00065244274,0.16696869,0.016012436,0.7578925,0.009103999,0.00011847275],"about_ca_topic_score_codex":0.000398537,"about_ca_topic_score_gemma":0.00033935564,"teacher_disagreement_score":0.008257939,"about_ca_system_score_codex":0.00035719087,"about_ca_system_score_gemma":0.00032061906,"threshold_uncertainty_score":0.027625501},"labels":[],"label_agreement":null},{"id":"W1952634141","doi":"10.2139/ssrn.2137299","title":"Analyst Forecast Revisions and Overconfidence","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; HEC Montréal","funders":"","keywords":"Overconfidence effect; Econometrics; Actuarial science; Financial economics; Economics; Psychology; Social psychology","score_opus":0.022828789441178835,"score_gpt":0.22239293745398234,"score_spread":0.1995641480128035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1952634141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960914,0.00048600804,0.0006988758,0.00081950414,0.000036558802,0.000004120065,0.00019657616,0.000021292637,0.0016456704],"genre_scores_gemma":[0.9992249,0.00013282735,0.000097260985,0.00004503412,0.00007386021,0.0000012918294,0.00010655596,0.0000054934562,0.00031280032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982158,0.00054524036,0.0002653458,0.0003144581,0.00048646476,0.0001727305],"domain_scores_gemma":[0.70778775,0.20751469,0.06170826,0.010605213,0.008461485,0.003922627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007057758,0.00029848926,0.00047377145,0.0016322853,0.00028635812,0.0026852053,0.000584094,0.0013523864,0.0049909954],"category_scores_gemma":[0.14594243,0.00034328658,0.0003583736,0.0011574262,0.0005156895,0.0023404453,0.0006179149,0.0016443838,0.0005126777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017051907,0.00018770796,0.95434916,0.000047170808,0.0003205447,0.00060995703,0.0010351099,0.006509237,0.00076299766,0.0022934366,0.0017938802,0.030385632],"study_design_scores_gemma":[0.00015125456,0.00054107636,0.93894976,0.000056624962,0.0003052857,0.0015984017,0.0010471842,0.033165578,0.0013925516,0.021008693,0.0016815714,0.00010199435],"about_ca_topic_score_codex":0.0033911092,"about_ca_topic_score_gemma":0.002366652,"teacher_disagreement_score":0.007057758,"about_ca_system_score_codex":0.00047966445,"about_ca_system_score_gemma":0.0003584211,"threshold_uncertainty_score":0.03732544},"labels":[],"label_agreement":null},{"id":"W19526842","doi":"","title":"Execution costs in financial markets with several institutional investors","year":2007,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business; Finance; Financial market; Economics; Financial system","score_opus":0.01767485702226244,"score_gpt":0.19973112361929574,"score_spread":0.1820562665970333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W19526842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97972566,0.0011211851,0.002400441,0.0007382313,0.00003339145,0.000038727074,0.00026904233,0.000030655396,0.015642589],"genre_scores_gemma":[0.9976018,0.00013410914,0.000508607,0.000017573535,0.000024917907,0.0000102732665,0.000090018155,0.000002687392,0.001609936],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99881905,0.00046255466,0.000085634165,0.000105680374,0.00025989025,0.0002672073],"domain_scores_gemma":[0.9921555,0.0026909779,0.0032281158,0.00031293192,0.0003909695,0.0012213971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023553956,0.00026646213,0.0002007033,0.0007253219,0.00049453677,0.002107355,0.00047803335,0.00055323326,0.010684721],"category_scores_gemma":[0.01094864,0.00011804881,0.0002597356,0.0005569569,0.00051241904,0.001882899,0.00092909764,0.0005186267,0.0005624898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021943734,0.0006061012,0.7628551,0.00011946375,0.0002461655,0.0024881093,0.0005302312,0.011695827,0.0023185736,0.07473011,0.0049407976,0.13727506],"study_design_scores_gemma":[0.0003646374,0.001751654,0.77320445,0.00016523774,0.00039070408,0.006351867,0.0038678192,0.09784304,0.0038837981,0.08651772,0.025543796,0.00011527063],"about_ca_topic_score_codex":0.0012419974,"about_ca_topic_score_gemma":0.0013590875,"teacher_disagreement_score":0.010684721,"about_ca_system_score_codex":0.0015430907,"about_ca_system_score_gemma":0.0008333947,"threshold_uncertainty_score":0.03574395},"labels":[],"label_agreement":null},{"id":"W1953770965","doi":"10.5430/ijfr.v6n3p135","title":"Financial Ratios and Stock Returns on China’s Growth Enterprise Market","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market capitalization; Stock market; Equity (law); Capital asset pricing model; Economics; Explanatory power; Financial economics; Business; Capital market; Monetary economics; Finance","score_opus":0.08789731445208387,"score_gpt":0.3259921090881097,"score_spread":0.23809479463602584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1953770965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989807,0.000064157255,0.000036962596,0.0000699511,0.0000028090324,0.0000025893423,0.000089636465,0.0000041799494,0.0007488861],"genre_scores_gemma":[0.9994382,0.00006469438,0.00001928503,0.00000833979,0.000009035919,0.0000016368591,0.0001886079,9.677133e-7,0.00026915458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998592,0.000019257086,0.000011560639,0.000023158495,0.000041686606,0.000045078996],"domain_scores_gemma":[0.99784625,0.0005158535,0.0009938624,0.00007719195,0.00019528401,0.00037158545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060482696,0.00034252962,0.0002087475,0.0015378497,0.00022217729,0.00075456634,0.0002866619,0.00029688238,0.0028598502],"category_scores_gemma":[0.002303414,0.000096809265,0.00039496794,0.0009439128,0.00035883204,0.0009133692,0.0004580076,0.00044378685,0.0003451211],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009010132,0.00008643451,0.9889979,0.0000152442635,0.000074740725,0.00031913427,0.00012604051,0.0012922842,0.00065053545,0.0010424765,0.00050881936,0.0067962315],"study_design_scores_gemma":[0.000004573481,0.00005048721,0.9934534,0.0000047230624,0.00001980784,0.00004487245,0.00010730384,0.0056376834,0.00019752352,0.00023341064,0.00024014495,0.000005993878],"about_ca_topic_score_codex":0.011651721,"about_ca_topic_score_gemma":0.011124824,"teacher_disagreement_score":0.011651721,"about_ca_system_score_codex":0.00059378624,"about_ca_system_score_gemma":0.0003808146,"threshold_uncertainty_score":0.023167789},"labels":[],"label_agreement":null},{"id":"W1956561866","doi":"10.2139/ssrn.361840","title":"Liquidity Supply and Demand in Limit Order Markets","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Order (exchange); Limit (mathematics); Economics; Business; Monetary economics; Supply and demand; Financial economics; Microeconomics; Finance","score_opus":0.012750868845770476,"score_gpt":0.19724271545558053,"score_spread":0.18449184660981005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1956561866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96543247,0.0011300639,0.019786594,0.003110862,0.0000263655,0.00001843006,0.0003118511,0.00012836725,0.01005489],"genre_scores_gemma":[0.99705446,0.00020257516,0.0005084473,0.000051644125,0.000052216474,0.000011710311,0.00006563557,0.000015109028,0.0020382993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996605,0.00013304324,0.00002750427,0.00003980874,0.00005978947,0.00007928344],"domain_scores_gemma":[0.9802949,0.01593859,0.001652223,0.00042081933,0.00080625917,0.00088731956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016834026,0.00032814476,0.0011088,0.000856138,0.00072599197,0.00405637,0.0008516613,0.0018269419,0.011827953],"category_scores_gemma":[0.021064758,0.0007095737,0.00040064697,0.00075696176,0.0016164505,0.0075499592,0.00094742584,0.0015450801,0.0009638958],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035651524,0.0005935181,0.039708138,0.0005750172,0.00011529599,0.0024125674,0.0027008574,0.100499436,0.009653049,0.810155,0.0070361737,0.022985796],"study_design_scores_gemma":[0.00040621893,0.00017229811,0.00889354,0.00004150381,0.000051758838,0.00033415962,0.00083021435,0.2538586,0.0011736519,0.733028,0.001144923,0.00006510178],"about_ca_topic_score_codex":0.0020833872,"about_ca_topic_score_gemma":0.001619538,"teacher_disagreement_score":0.011827953,"about_ca_system_score_codex":0.0009486787,"about_ca_system_score_gemma":0.0006503794,"threshold_uncertainty_score":0.039568424},"labels":[],"label_agreement":null},{"id":"W1959115675","doi":"10.2139/ssrn.1365014","title":"Keynes Meets Markowitz: The Tradeoff Between Familiarity and Diversification","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia; Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Diversification (marketing strategy); Portfolio; Ambiguity; Economics; Standard deviation; Econometrics; Financial economics; Asset (computer security); Portfolio optimization; Modern portfolio theory; Ambiguity aversion; Capital asset pricing model; Actuarial science; Business; Computer science; Mathematics; Statistics","score_opus":0.021211890444015072,"score_gpt":0.20546358543248408,"score_spread":0.184251694988469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1959115675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56539625,0.018570062,0.2768442,0.06276943,0.00046586656,0.000048457292,0.0001921881,0.00025815523,0.07545538],"genre_scores_gemma":[0.9825272,0.0024272748,0.009867174,0.000773242,0.00065035926,0.000023361867,0.000027790173,0.0000581257,0.0036454287],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985838,0.00069120777,0.000066516965,0.00027209136,0.0002558942,0.00013042007],"domain_scores_gemma":[0.97243136,0.020786177,0.0028549156,0.0019627209,0.0008673572,0.0010975061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004694601,0.00040138498,0.0012847744,0.00091729814,0.0011137945,0.005484029,0.000815725,0.0025718121,0.010847564],"category_scores_gemma":[0.0375004,0.0004628669,0.00054415024,0.0012188375,0.004093225,0.01934901,0.0030852787,0.0030066965,0.0013624006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045590146,0.00004288436,0.006685385,0.00012723652,0.000056983194,0.0004536728,0.0008557639,0.00664569,0.0010963742,0.9069794,0.0044690855,0.0721316],"study_design_scores_gemma":[0.000039637274,0.00006106518,0.0011596194,0.000027400902,0.000015473423,0.00032624722,0.00027189447,0.005884119,0.00036508052,0.9878764,0.003952873,0.000020097157],"about_ca_topic_score_codex":0.0003929997,"about_ca_topic_score_gemma":0.0003998434,"teacher_disagreement_score":0.010847564,"about_ca_system_score_codex":0.0010085002,"about_ca_system_score_gemma":0.0007730618,"threshold_uncertainty_score":0.03628874},"labels":[],"label_agreement":null},{"id":"W1963573172","doi":"10.2139/ssrn.1082642","title":"Option Market Liquidity: Commonality and Other Characteristics","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Market liquidity; Business; Financial system; Monetary economics; Economics; Finance","score_opus":0.030186162833968272,"score_gpt":0.21162122401919142,"score_spread":0.18143506118522315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963573172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864915,0.00020269574,0.0095819775,0.00020134289,0.0000065620766,0.00003058804,0.00033372157,0.000041915602,0.00310966],"genre_scores_gemma":[0.99893194,0.0000496703,0.0005266865,0.000008246958,0.00002783221,0.00001635611,0.00019221209,0.0000056373506,0.00024135092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998357,0.000387422,0.0002245748,0.00034715157,0.00040942346,0.00027439618],"domain_scores_gemma":[0.93824327,0.038092203,0.012269665,0.006305988,0.0024142598,0.0026746993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003703023,0.00026483915,0.0011129254,0.004270762,0.00081503234,0.0033435267,0.001157338,0.0011028931,0.0066029206],"category_scores_gemma":[0.032258384,0.00025571565,0.0010983126,0.004001517,0.002104469,0.005739268,0.002486286,0.0009322944,0.00031086826],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023843863,0.0006431507,0.62393326,0.00022591544,0.0008467556,0.0014381761,0.0034117743,0.014111578,0.010674344,0.28903368,0.0023062865,0.050990764],"study_design_scores_gemma":[0.00035760482,0.0010531745,0.37710026,0.00008100723,0.00044474745,0.0056649223,0.0024905035,0.078774214,0.0046473984,0.52585495,0.0033277026,0.00020353003],"about_ca_topic_score_codex":0.00028033843,"about_ca_topic_score_gemma":0.00024266765,"teacher_disagreement_score":0.0066029206,"about_ca_system_score_codex":0.0005562262,"about_ca_system_score_gemma":0.00045582483,"threshold_uncertainty_score":0.022088945},"labels":[],"label_agreement":null},{"id":"W1964184898","doi":"10.1108/1525383x200600010","title":"Investing in Emerging Equity Markets: The Case of Chinese ADRs versus B Shares","year":2006,"lang":"en","type":"article","venue":"Multinational Business Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Windsor","funders":"","keywords":"Equity (law); Listing (finance); Chinese market; Business; Portfolio; Financial economics; Stock market; Stock exchange; Economics; Finance; China; Geography","score_opus":0.057952737947198324,"score_gpt":0.3006911338302997,"score_spread":0.2427383958831014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964184898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950133,0.00030941653,0.00073541777,0.00020719825,0.000001867581,0.0000069530474,0.000017980856,0.0000025285,0.0037053456],"genre_scores_gemma":[0.99943215,0.00013961634,0.00015292087,0.000012608816,0.0000055596297,0.0000022137128,0.000009539106,7.3432574e-7,0.00024463478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99977034,0.00007965786,0.000011070473,0.000031220898,0.000027666088,0.00008002822],"domain_scores_gemma":[0.99693274,0.0015691244,0.0008284554,0.00014880452,0.00017592216,0.0003449981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001503127,0.0002568984,0.0003488664,0.00094823004,0.00045208097,0.0016329918,0.00040020858,0.0005557828,0.0015898418],"category_scores_gemma":[0.004897052,0.00011812256,0.00027968545,0.0007261207,0.0013625628,0.002848991,0.00087302364,0.00039941008,0.0000622142],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001465546,0.0002856653,0.3881761,0.00021290091,0.00017961707,0.007501109,0.003243005,0.047235228,0.005236653,0.46691126,0.0023520112,0.07720088],"study_design_scores_gemma":[0.0004362754,0.00048267914,0.36585498,0.00013302323,0.00022319751,0.001638053,0.006036279,0.33834496,0.0036105106,0.2788434,0.0042990046,0.00009765663],"about_ca_topic_score_codex":0.010201574,"about_ca_topic_score_gemma":0.009464352,"teacher_disagreement_score":0.010201574,"about_ca_system_score_codex":0.00096052355,"about_ca_system_score_gemma":0.00043266424,"threshold_uncertainty_score":0.020284414},"labels":[],"label_agreement":null},{"id":"W1964369574","doi":"10.1016/j.jeca.2014.07.001","title":"Dynamics and risk factors in hedge funds returns: Implications for portfolio construction and performance evaluation","year":2014,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hedge fund; Portfolio; Business; Alternative beta; Hedge; Financial economics; Actuarial science; Economics; Finance; Global assets under management; Institutional investor; Corporate governance","score_opus":0.02933860378589529,"score_gpt":0.24218894887147122,"score_spread":0.21285034508557593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964369574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8476267,0.0010262768,0.14169286,0.0020395448,0.000054320153,0.000061943465,0.00027003206,0.00010624138,0.0071219867],"genre_scores_gemma":[0.9932987,0.0002587291,0.005554871,0.00002435952,0.00003322168,0.000010275239,0.00007155948,0.000016565999,0.0007317715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99895513,0.00037437186,0.00010195303,0.00017458541,0.00026593715,0.00012805092],"domain_scores_gemma":[0.98196685,0.012934016,0.0024498976,0.0009848557,0.0012287613,0.00043553548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005433183,0.00058888097,0.0007922042,0.001564502,0.0004784183,0.004602668,0.0007529602,0.0016744017,0.0018225585],"category_scores_gemma":[0.057053704,0.00065009744,0.00054027827,0.0011887284,0.0011891309,0.006672732,0.0010812578,0.0015034461,0.00019985027],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046583242,0.00022970386,0.17049848,0.00010158654,0.00020989295,0.0007677518,0.0006653072,0.24546182,0.0051690936,0.50054353,0.0017052619,0.07418163],"study_design_scores_gemma":[0.00003461745,0.000059407346,0.039309513,0.000057055913,0.0000485185,0.0002672618,0.00022593186,0.7522022,0.0015116497,0.20533305,0.00087923685,0.000071550836],"about_ca_topic_score_codex":0.0033489463,"about_ca_topic_score_gemma":0.002204533,"teacher_disagreement_score":0.005433183,"about_ca_system_score_codex":0.0010620503,"about_ca_system_score_gemma":0.0010467267,"threshold_uncertainty_score":0.02873379},"labels":[],"label_agreement":null},{"id":"W1965009509","doi":"10.1016/j.jempfin.2012.01.001","title":"Does information vault Niagara Falls? Cross-listed trading in New York and Toronto","year":2012,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fujian Key Laboratory of Statistical Science; Key Laboratory of Econometrics; Kwanjeong Educational Foundation","keywords":"Stock exchange; Cross listing; Stock (firearms); Business; Asset (computer security); Private information retrieval; Financial economics; Economics; Finance; Geography; Computer science; Computer security","score_opus":0.052498521742288355,"score_gpt":0.28609743479490285,"score_spread":0.2335989130526145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965009509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751637,0.0016960644,0.000068008725,0.009432578,0.000050124592,0.000007090613,0.0011760697,0.00001016318,0.012396159],"genre_scores_gemma":[0.99539727,0.0004060048,0.000015651874,0.00011322112,0.000017759576,0.0000013479479,0.00023894964,0.0000041720396,0.0038055223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995732,0.000047099555,0.000025957466,0.000055636738,0.000096762815,0.0002013981],"domain_scores_gemma":[0.9958116,0.0008032178,0.0012327129,0.00016758777,0.00078902947,0.0011958788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005366067,0.00010513541,0.00032896007,0.00073440204,0.0017850216,0.0031447038,0.00061613624,0.00074216403,0.007041309],"category_scores_gemma":[0.0041814395,0.00017783279,0.00021955844,0.0015140789,0.0008217953,0.0014810468,0.0010868836,0.0012206546,0.0003879106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031170686,0.000049136554,0.9346241,0.000055545523,0.00014007425,0.001111204,0.015293801,0.0006587092,0.0003569162,0.011841611,0.021598006,0.013959297],"study_design_scores_gemma":[0.000014440858,0.000018531095,0.96478516,0.00006926167,0.00006422355,0.00011886993,0.020970779,0.0013299425,0.0002028371,0.00053212646,0.011872028,0.000021771508],"about_ca_topic_score_codex":0.9413267,"about_ca_topic_score_gemma":0.98331153,"teacher_disagreement_score":0.058673322,"about_ca_system_score_codex":0.010435721,"about_ca_system_score_gemma":0.0065538315,"threshold_uncertainty_score":0.11803764},"labels":[],"label_agreement":null},{"id":"W1965034506","doi":"10.3390/jrfm4010097","title":"Periodically Collapsing Bubbles in Stock Prices Cointegrated with Broad Dividends and Macroeconomic Factors","year":2011,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Dividend; Vector autoregression; Econometrics; Cointegration; Stock (firearms); Dynamic factor; Autoregressive model; Capital asset pricing model; Stock market index; Financial economics; Monetary economics; Stock market; Finance","score_opus":0.019738099310708315,"score_gpt":0.1919304786570123,"score_spread":0.172192379346304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965034506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98898214,0.00023577406,0.009816086,0.00021707767,0.000010137484,0.000004965722,0.00004681101,0.000033800672,0.00065310765],"genre_scores_gemma":[0.9992417,0.000085180705,0.00042023265,0.000010467243,0.00001839646,0.000004287178,0.000044396675,0.000005163183,0.00017023302],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997979,0.00006526819,0.000016793121,0.00003942669,0.000037445316,0.000043244552],"domain_scores_gemma":[0.9947497,0.0028815991,0.0017972307,0.00017546279,0.00021287097,0.0001831646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010529261,0.00030802103,0.00043785712,0.0006889658,0.00022871289,0.0008507777,0.0003116591,0.0006099915,0.00067955145],"category_scores_gemma":[0.010795531,0.00026376112,0.000306185,0.00061490195,0.0006097026,0.0011528878,0.0004989388,0.0007113019,0.000107363085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005829959,0.0003375679,0.5376035,0.0002006544,0.0005758964,0.0044473405,0.0020710237,0.2664137,0.018029872,0.10524895,0.003092704,0.06139577],"study_design_scores_gemma":[0.00002362717,0.0001273087,0.09644523,0.000019636334,0.00008939117,0.00025818087,0.00024880588,0.8791505,0.0012735904,0.021768546,0.0005585686,0.000036575468],"about_ca_topic_score_codex":0.0037853173,"about_ca_topic_score_gemma":0.0026616366,"teacher_disagreement_score":0.0037853173,"about_ca_system_score_codex":0.00035469935,"about_ca_system_score_gemma":0.00025438744,"threshold_uncertainty_score":0.0075265765},"labels":[],"label_agreement":null},{"id":"W1965128784","doi":"10.1080/09603100801964412","title":"Disaggregating marketplace attitudes toward risk: a contingent-claim-based model","year":2009,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University; Queen's University","funders":"","keywords":"Economics; Volatility (finance); Portfolio; Earnings; Econometrics; Downside risk; Operationalization; Portfolio insurance; Financial economics; Index (typography); Actuarial science; Replicating portfolio; Portfolio optimization","score_opus":0.024771321330313602,"score_gpt":0.20776930799554358,"score_spread":0.18299798666522998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965128784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5330877,0.0007804583,0.4338402,0.003283761,0.00010757477,0.0001427524,0.0007814063,0.00034777593,0.02762852],"genre_scores_gemma":[0.98117,0.00042239952,0.0093691945,0.00010756902,0.000065517015,0.000070472066,0.00019358659,0.000035598907,0.008565685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990331,0.0003927246,0.000038983024,0.00018000728,0.00015420144,0.00020105869],"domain_scores_gemma":[0.99664354,0.0017443169,0.0006543369,0.00029434252,0.0002662373,0.00039725707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031880005,0.00095548556,0.0013055073,0.0011792795,0.00067329704,0.003912784,0.0029341718,0.0026901325,0.006734265],"category_scores_gemma":[0.007007895,0.00077293103,0.0017038283,0.0012082919,0.0020228396,0.0039730077,0.0018827226,0.0024334788,0.0007641966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018023662,0.000192207,0.004210404,0.000042954023,0.00011677983,0.00054083,0.00032138373,0.6518339,0.0011939727,0.33425593,0.00080792466,0.0063034273],"study_design_scores_gemma":[0.00003341421,0.000042482436,0.0007716378,0.0000069589837,0.000027243781,0.00004515948,0.000044305616,0.9349619,0.00006466823,0.06361058,0.0003718941,0.000019750967],"about_ca_topic_score_codex":0.008661267,"about_ca_topic_score_gemma":0.004000449,"teacher_disagreement_score":0.008661267,"about_ca_system_score_codex":0.0018929556,"about_ca_system_score_gemma":0.00089933584,"threshold_uncertainty_score":0.02252829},"labels":[],"label_agreement":null},{"id":"W1965152622","doi":"10.2139/ssrn.900363","title":"Pricing the Commonality Across Alternative Measures of Liquidity","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":184,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Download; Market liquidity; Computer science; World Wide Web; Business; Internet privacy; Advertising; Finance","score_opus":0.05039867206844002,"score_gpt":0.26706624366268084,"score_spread":0.21666757159424083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965152622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83260196,0.0012767426,0.16117835,0.0014625826,0.000104244,0.000054118114,0.0002586718,0.00009673025,0.002966564],"genre_scores_gemma":[0.99289083,0.00029058152,0.0061353203,0.000046387235,0.00019013252,0.000028274828,0.00010299519,0.000017193897,0.00029844028],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99161154,0.003776199,0.0006179155,0.0014727691,0.0018133232,0.0007083575],"domain_scores_gemma":[0.857067,0.11552397,0.012184031,0.010294792,0.002963987,0.0019662462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017162966,0.0011358324,0.0022752318,0.004737113,0.000589404,0.009612049,0.0033185822,0.0040996354,0.00306492],"category_scores_gemma":[0.11311841,0.00093439396,0.0020498547,0.0050250133,0.006845184,0.023605628,0.004027033,0.0041131647,0.00021372201],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025481128,0.00036843462,0.036282517,0.0003468503,0.00094522216,0.0007709909,0.0013510359,0.09002012,0.0051604235,0.80811846,0.0014568828,0.052630898],"study_design_scores_gemma":[0.00017895625,0.00049996923,0.017802497,0.0000976307,0.0001844312,0.00038893905,0.00035934075,0.40712976,0.0014101595,0.5711675,0.0006227501,0.00015798332],"about_ca_topic_score_codex":0.0004709858,"about_ca_topic_score_gemma":0.00031899946,"teacher_disagreement_score":0.017162966,"about_ca_system_score_codex":0.0018304556,"about_ca_system_score_gemma":0.00067061535,"threshold_uncertainty_score":0.0907675},"labels":[],"label_agreement":null},{"id":"W1965376469","doi":"10.1111/j.1936-4490.2003.tb00312.x","title":"Les hedge funds ont‐ils leur place dans un portefeuille institutionnel canadien?","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","funders":"","keywords":"Portfolio; Humanities; Diversification (marketing strategy); Hedge fund; Economics; Mathematics; Financial economics; Business; Finance; Philosophy","score_opus":0.13087672166697192,"score_gpt":0.2791577138380467,"score_spread":0.1482809921710748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965376469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98604506,0.002070364,0.0023756046,0.00045794403,0.000015252009,0.0000108523645,0.00013641902,0.00002157699,0.008866841],"genre_scores_gemma":[0.995439,0.00033223818,0.0013158653,0.000020184181,0.0000086454575,0.0000032154123,0.000060912014,0.000006380168,0.0028135849],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99937695,0.00009679513,0.000023624563,0.00007665031,0.0002779058,0.00014807699],"domain_scores_gemma":[0.9991048,0.00019899529,0.00030088026,0.00005369172,0.00023590183,0.00010573419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001490121,0.00026383105,0.00035163583,0.00083221274,0.00046461812,0.002521556,0.00037778122,0.0005074873,0.0026516821],"category_scores_gemma":[0.0034420453,0.00012305006,0.00037953033,0.0009792122,0.00045043623,0.0014162267,0.0006220446,0.00058985973,0.00023544181],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018004238,0.0001489214,0.6002355,0.00019147726,0.0003364069,0.0012868239,0.0010758416,0.069063686,0.012519893,0.049529016,0.00164373,0.26216838],"study_design_scores_gemma":[0.00016494973,0.0009985443,0.80423373,0.0003671497,0.00043856492,0.0012545082,0.0044169934,0.06791281,0.029446997,0.015781948,0.07482187,0.00016192909],"about_ca_topic_score_codex":0.043626036,"about_ca_topic_score_gemma":0.056109373,"teacher_disagreement_score":0.956374,"about_ca_system_score_codex":0.002626655,"about_ca_system_score_gemma":0.0018287688,"threshold_uncertainty_score":0.08674419},"labels":[],"label_agreement":null},{"id":"W1965851157","doi":"10.5539/jms.v4n3p125","title":"The Effects of Psychology on Individual Investors’ Behaviors: Evidence from the Vietnam Stock Exchange","year":2014,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Jilin Office of Philosophy and Social Science; National Social Science Fund of China; Shanghai Municipal Education Commission","keywords":"Overconfidence effect; Optimism; Pessimism; Behavioral economics; Stock exchange; Herd behavior; Psychology; Sport psychology; Financial economics; Investment (military); Prospect theory; Economics; Social psychology; Finance; Herding; Political science; Politics; Law","score_opus":0.028373713365923394,"score_gpt":0.26317406544284866,"score_spread":0.23480035207692526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965851157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993728,0.00006294836,0.000013326479,0.000068100875,0.000002183892,0.0000017217423,0.00002184016,1.8752544e-7,0.00045697158],"genre_scores_gemma":[0.99950325,0.00012081296,0.000019651936,0.000029314297,0.000005077333,0.000001697226,0.00005530176,3.3936107e-7,0.0002645293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968994,0.00013363198,0.000016733056,0.000033492564,0.00007064546,0.000055582295],"domain_scores_gemma":[0.99681693,0.001240031,0.0010659226,0.00012450742,0.00025026724,0.00050236634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082205614,0.00011858143,0.00011939484,0.0003975834,0.0004155853,0.00060743414,0.00017228861,0.00025549703,0.0015905548],"category_scores_gemma":[0.0027313344,0.00009740133,0.00015092893,0.00039415134,0.0003710063,0.00038156754,0.00034956355,0.0004295212,0.00010431216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007229961,0.00014814192,0.99256825,0.000012194151,0.000033617504,0.0001179014,0.0018363826,0.000041716426,0.00012026292,0.00013072544,0.0001493142,0.0047692],"study_design_scores_gemma":[0.000002798128,0.000048759724,0.9974191,0.0000057444636,0.000010049499,0.000027327662,0.0019911288,0.000118788616,0.00004918979,0.000036350615,0.0002881853,0.000002452236],"about_ca_topic_score_codex":0.016536906,"about_ca_topic_score_gemma":0.02271282,"teacher_disagreement_score":0.016536906,"about_ca_system_score_codex":0.00043116556,"about_ca_system_score_gemma":0.00028359634,"threshold_uncertainty_score":0.03288126},"labels":[],"label_agreement":null},{"id":"W1966408833","doi":"10.2139/ssrn.2060978","title":"Super-Exponential Bubbles in Lab Experiments: Evidence for Anchoring Over-Optimistic Expectations on Price","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Anchoring; Economics; Econometrics; Exponential function; Monetary economics; Psychology; Financial economics; Mathematics; Social psychology; Mathematical analysis","score_opus":0.06362379161329247,"score_gpt":0.29113613930870097,"score_spread":0.2275123476954085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966408833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753611,0.00038403823,0.011909772,0.0011247908,0.00008599176,0.00008439887,0.00039540636,0.00020688878,0.010447458],"genre_scores_gemma":[0.9960581,0.00015137646,0.0021631615,0.0004793286,0.00004928127,0.00007544403,0.00019676352,0.00007393184,0.0007525678],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968496,0.0017902396,0.00019383623,0.00050567853,0.0004974479,0.0001632713],"domain_scores_gemma":[0.820587,0.12156604,0.032536082,0.020311162,0.002230513,0.0027692073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010814189,0.00047915473,0.0005498436,0.00037369388,0.00029530574,0.0015203239,0.0007985827,0.0018218039,0.009911868],"category_scores_gemma":[0.10929101,0.0005240686,0.00025895966,0.00036170366,0.0014346753,0.0020910078,0.001317562,0.0020232825,0.0011124526],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03907333,0.010776304,0.45740458,0.002102803,0.0024314483,0.0012204773,0.008166595,0.012118869,0.18540955,0.05990479,0.012728239,0.20866299],"study_design_scores_gemma":[0.0029363448,0.008405651,0.7718663,0.00021503182,0.0011407529,0.0012263852,0.0011937028,0.027837155,0.035524677,0.1395633,0.009765784,0.0003249495],"about_ca_topic_score_codex":0.0005165467,"about_ca_topic_score_gemma":0.0004042602,"teacher_disagreement_score":0.010814189,"about_ca_system_score_codex":0.0002773508,"about_ca_system_score_gemma":0.00028193137,"threshold_uncertainty_score":0.05719161},"labels":[],"label_agreement":null},{"id":"W1966787795","doi":"10.1111/j.1936-4490.2003.tb00707.x","title":"Profitability of the Short‐Run Contrarian Strategy in Canadian Stock Markets","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Contrarian; Profitability index; Stock (firearms); Economics; Transaction cost; Financial economics; Welfare economics; Operations research; Business; Microeconomics; Finance; Mathematics; Engineering","score_opus":0.10895653430982193,"score_gpt":0.28497542039682267,"score_spread":0.17601888608700073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966787795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99507457,0.00027674926,0.0009749172,0.00020411487,0.000003548688,0.0000104655155,0.00020413024,0.000014219195,0.003237212],"genre_scores_gemma":[0.99885154,0.00009116824,0.0001763016,0.0000072176945,0.0000016081325,0.0000016664477,0.00009356122,0.0000018625562,0.0007750353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996871,0.000029292101,0.000009746511,0.000047477086,0.00010291408,0.00012345545],"domain_scores_gemma":[0.9988432,0.00034893266,0.00034239242,0.000059012837,0.00024655182,0.0001597438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078297977,0.0003254591,0.00039662662,0.00086273515,0.0007678695,0.0021421125,0.0008846211,0.0005179617,0.0021468326],"category_scores_gemma":[0.003219092,0.00020382246,0.00046886722,0.0009201623,0.0009996135,0.00076547865,0.00040149462,0.00055297284,0.0001198646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072008336,0.00019064051,0.51264817,0.00010924608,0.00028421148,0.0006878073,0.00060871785,0.4042878,0.005199361,0.027617602,0.002638164,0.045008235],"study_design_scores_gemma":[0.000039330174,0.0001513598,0.3951949,0.000018753455,0.00010861564,0.00012790997,0.0004942982,0.5964625,0.0010219329,0.004227092,0.0020731278,0.00008028912],"about_ca_topic_score_codex":0.8689908,"about_ca_topic_score_gemma":0.8282387,"teacher_disagreement_score":0.13100922,"about_ca_system_score_codex":0.013605239,"about_ca_system_score_gemma":0.0062379977,"threshold_uncertainty_score":0.2635615},"labels":[],"label_agreement":null},{"id":"W1966995295","doi":"10.1016/j.qref.2009.07.001","title":"Pricing unexpected illiquidity","year":2009,"lang":"en","type":"article","venue":"The Quarterly Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"University of Lethbridge","keywords":"Economics; Stock (firearms); Exploit; Monetary economics; Financial economics; Shock (circulatory); Transaction cost; Microeconomics","score_opus":0.024125412711343875,"score_gpt":0.21902924801331897,"score_spread":0.19490383530197508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966995295","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32588813,0.023625793,0.57677287,0.023312228,0.004605987,0.00007018229,0.0005532468,0.0011417923,0.044029698],"genre_scores_gemma":[0.9665749,0.005930366,0.012971919,0.0004588492,0.0031917111,0.000019434454,0.00017959668,0.00016789032,0.010505301],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949706,0.00012904215,0.000036880516,0.000055228524,0.000206137,0.000075605734],"domain_scores_gemma":[0.9961003,0.001777378,0.00076394883,0.0004268865,0.000647795,0.00028368863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013383287,0.00052424916,0.0008012097,0.0013438207,0.00029534262,0.0029164806,0.000850466,0.001218549,0.006045519],"category_scores_gemma":[0.01464084,0.00035500736,0.00034819308,0.0010272558,0.0012227893,0.0061321724,0.0009223449,0.00208015,0.0007198238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002518896,0.00005601378,0.0038950525,0.00013582427,0.00007363259,0.00061469025,0.00014002639,0.033499137,0.0023311893,0.8567099,0.01762019,0.08467238],"study_design_scores_gemma":[0.000022332655,0.000047613154,0.0014864105,0.000046907222,0.000028086512,0.00024677374,0.000046715926,0.13754195,0.0012335663,0.84934217,0.009925114,0.000032331413],"about_ca_topic_score_codex":0.0003272166,"about_ca_topic_score_gemma":0.0002971519,"teacher_disagreement_score":0.006045519,"about_ca_system_score_codex":0.00070512696,"about_ca_system_score_gemma":0.00041781116,"threshold_uncertainty_score":0.020224273},"labels":[],"label_agreement":null},{"id":"W1967022385","doi":"10.2139/ssrn.922128","title":"The Effect of Earnings Surprises on Information Asymmetry","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Earnings; Information asymmetry; Asymmetry; Economics; Business; Econometrics; Accounting; Finance; Physics","score_opus":0.007326071184937598,"score_gpt":0.18735330058964642,"score_spread":0.1800272294047088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967022385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840816,0.00062409224,0.002116147,0.0015262305,0.000084532694,0.00001552229,0.00031819718,0.00006863512,0.011164981],"genre_scores_gemma":[0.9990953,0.00013809923,0.00009971894,0.0000582617,0.00005272363,0.0000024468134,0.000045088174,0.00000811792,0.0005002579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990471,0.0003310521,0.00008062768,0.00010846703,0.00018426667,0.0002484441],"domain_scores_gemma":[0.84232485,0.1322309,0.015107877,0.004353372,0.0023698835,0.0036132238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043662484,0.00036745955,0.0008357586,0.00085695414,0.0004873565,0.0027532815,0.00055255584,0.0018951521,0.009716557],"category_scores_gemma":[0.0814406,0.00034764595,0.00047482803,0.00070300134,0.0009203697,0.0028608919,0.001104039,0.002545145,0.0007475569],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.02852457,0.0037239431,0.40763095,0.00091991446,0.0010557084,0.006834564,0.002349544,0.1401248,0.04258188,0.16720797,0.018908115,0.18013805],"study_design_scores_gemma":[0.0011581726,0.0027783648,0.53695256,0.00013771516,0.0011065392,0.002141729,0.002074484,0.15759476,0.008379864,0.28437513,0.0029357527,0.0003649978],"about_ca_topic_score_codex":0.0011526358,"about_ca_topic_score_gemma":0.00069424824,"teacher_disagreement_score":0.009716557,"about_ca_system_score_codex":0.0006888299,"about_ca_system_score_gemma":0.0005152954,"threshold_uncertainty_score":0.032505155},"labels":[],"label_agreement":null},{"id":"W1967184258","doi":"10.2139/ssrn.1781382","title":"Financial Market Dynamics: Implications of Prospect Theory for Asset Prices and Trading Volume","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Financial economics; Economics; Asset (computer security); Volume (thermodynamics); Business; Finance","score_opus":0.019126290698385846,"score_gpt":0.2070189784121793,"score_spread":0.18789268771379347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967184258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35260227,0.007205328,0.5446932,0.02663034,0.00040907672,0.00015002843,0.00082562515,0.0002873953,0.067196734],"genre_scores_gemma":[0.97893506,0.0035279419,0.01128943,0.0002887065,0.00047146514,0.000058767662,0.00012941624,0.000029375804,0.0052698366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993135,0.0003162045,0.000035689154,0.0001149094,0.00015440295,0.000065263754],"domain_scores_gemma":[0.9790875,0.016679138,0.001848806,0.0006018436,0.0010632033,0.0007195984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003943069,0.0006191083,0.0012508353,0.0013862732,0.0005846569,0.0058121653,0.0011696657,0.0026866281,0.010761085],"category_scores_gemma":[0.049193345,0.0006036774,0.00088997657,0.0016067919,0.0025802462,0.013171801,0.0013836491,0.003909012,0.00096719654],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121686426,0.00009571282,0.00589869,0.000081366416,0.000044422435,0.00018927171,0.00033750295,0.04160753,0.000676989,0.93024635,0.002113934,0.0185865],"study_design_scores_gemma":[0.000027434615,0.000032879336,0.00255003,0.000024808212,0.000015089564,0.0001650878,0.000086563574,0.110319525,0.00007893558,0.8860304,0.0006446689,0.000024562205],"about_ca_topic_score_codex":0.0011445022,"about_ca_topic_score_gemma":0.0007036958,"teacher_disagreement_score":0.010761085,"about_ca_system_score_codex":0.00080321333,"about_ca_system_score_gemma":0.00067795976,"threshold_uncertainty_score":0.035999417},"labels":[],"label_agreement":null},{"id":"W1967789170","doi":"10.1007/s12197-011-9196-5","title":"Dividend growth, stock valuation, and long-run risk","year":2011,"lang":"en","type":"article","venue":"Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Dividend; Economics; Stock (firearms); Valuation (finance); Dividend payout ratio; Financial economics; Growth stock; Econometrics; Capital asset pricing model; Short run; Dividend yield; Present value; Dividend policy; Stock market; Monetary economics; Stock market bubble; Finance","score_opus":0.0527291024712966,"score_gpt":0.2059639342677659,"score_spread":0.1532348317964693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967789170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934401,0.0019956066,0.0011369648,0.0007959029,0.000020610843,0.0000034878058,0.000091448775,0.000009701719,0.002506105],"genre_scores_gemma":[0.9988065,0.0004830743,0.00012071228,0.000020918535,0.000031746706,0.0000018576154,0.00006320508,0.0000023779348,0.00046960736],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999881,0.000045674093,0.000010933405,0.000015534315,0.000025390304,0.000021400383],"domain_scores_gemma":[0.9918377,0.0054524257,0.0015824937,0.00020368269,0.0003355959,0.00058824115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013405061,0.00029256867,0.00027343893,0.00059846055,0.00025334832,0.0021789137,0.00028840976,0.00096220605,0.0018799244],"category_scores_gemma":[0.014886826,0.00019527714,0.00018949668,0.0005803934,0.00079746253,0.0025948319,0.0005144395,0.0011167193,0.00025620495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017376194,0.0007312142,0.87153924,0.00008164654,0.00024396804,0.0012820322,0.0006990445,0.0248081,0.003695652,0.054247476,0.0020718982,0.038862113],"study_design_scores_gemma":[0.00008838335,0.00026163508,0.7031634,0.00006167647,0.00013696785,0.0008348399,0.00080587936,0.11906097,0.0010366902,0.17293288,0.0015555589,0.00006108693],"about_ca_topic_score_codex":0.0022670794,"about_ca_topic_score_gemma":0.002469903,"teacher_disagreement_score":0.0022670794,"about_ca_system_score_codex":0.0005829961,"about_ca_system_score_gemma":0.00029252796,"threshold_uncertainty_score":0.0070893764},"labels":[],"label_agreement":null},{"id":"W1967965961","doi":"10.5539/ijef.v4n6p116","title":"Home Bias in Equity Portfolios: Theory and Evidence for Developed Markets","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Capital asset pricing model; Equity (law); Diversification (marketing strategy); Financial economics; Capital market; Equity capital markets; Monetary economics; Equity risk; Finance; Business; Private equity","score_opus":0.1262276337494338,"score_gpt":0.30957080984283025,"score_spread":0.18334317609339645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967965961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9663906,0.01031461,0.008445051,0.0018297335,0.000027455373,0.000030645715,0.000332194,0.00004485586,0.012584794],"genre_scores_gemma":[0.99716717,0.0017968959,0.00049726316,0.0001193118,0.000054015305,0.000005424769,0.000112750546,0.0000047474687,0.00024241432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941933,0.00015587744,0.000045825214,0.00015212908,0.00015896291,0.00006784824],"domain_scores_gemma":[0.9727806,0.014981152,0.008105773,0.001958185,0.0014840679,0.00069020566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034359512,0.00021715068,0.0005761961,0.0018553098,0.00039784407,0.0017880652,0.00078223285,0.00087512744,0.004989977],"category_scores_gemma":[0.020158708,0.0002069232,0.00030776244,0.0023293288,0.0028189954,0.0035846909,0.0013094435,0.0008716787,0.00029519145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036602182,0.00021797763,0.79632497,0.0003462282,0.0003935295,0.0005597042,0.001023375,0.0052593616,0.0007257036,0.09974358,0.002537512,0.092502095],"study_design_scores_gemma":[0.00016757786,0.00019730926,0.73075986,0.0002480564,0.00027250577,0.00049761415,0.0011941955,0.016846044,0.0018998177,0.23841484,0.009442432,0.000059802456],"about_ca_topic_score_codex":0.0020739923,"about_ca_topic_score_gemma":0.0011295414,"teacher_disagreement_score":0.004989977,"about_ca_system_score_codex":0.00054379844,"about_ca_system_score_gemma":0.00023744366,"threshold_uncertainty_score":0.01817131},"labels":[],"label_agreement":null},{"id":"W196817982","doi":"","title":"Interpreting Aggregate Stock Market Behavior: How Far Can the Standard Model Go?","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity premium puzzle; Economics; Dividend; Financial economics; Stock (firearms); Consumption (sociology); Stock market; Risk premium; Aggregate data; Econometrics; Finance","score_opus":0.046972742368931966,"score_gpt":0.2855463432163786,"score_spread":0.23857360084744667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W196817982","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1362536,0.045666084,0.38538307,0.38746542,0.005273616,0.00017220271,0.0036809961,0.0022400962,0.03386491],"genre_scores_gemma":[0.8225957,0.033109844,0.11050228,0.021401878,0.005214581,0.0002742903,0.0016745642,0.0004746019,0.004752195],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99849486,0.00091876753,0.000103278726,0.00017666389,0.00023619484,0.00007022467],"domain_scores_gemma":[0.99381626,0.003062543,0.00074798823,0.0011090304,0.0009261631,0.00033797044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00623441,0.0012240071,0.0018112737,0.0019861383,0.00060909474,0.008671336,0.0022186853,0.002903104,0.003244651],"category_scores_gemma":[0.029915143,0.000722142,0.0009754764,0.0018236821,0.002612813,0.013307148,0.0021718626,0.0034577288,0.0011385378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002476327,0.000238382,0.039567582,0.0011365679,0.0007305868,0.00062521524,0.0021962286,0.0852239,0.00089182414,0.6576631,0.054991845,0.15648709],"study_design_scores_gemma":[0.00003397257,0.00003589563,0.0037572621,0.00028526867,0.000058280977,0.000094946445,0.00069748017,0.096715,0.00015246503,0.8852667,0.012827964,0.00007472144],"about_ca_topic_score_codex":0.012067085,"about_ca_topic_score_gemma":0.00877962,"teacher_disagreement_score":0.012067085,"about_ca_system_score_codex":0.0020365112,"about_ca_system_score_gemma":0.0015451631,"threshold_uncertainty_score":0.032971084},"labels":[],"label_agreement":null},{"id":"W1968188491","doi":"10.3905/jwm.2014.16.4.065","title":"Do “Hot Hands” Exist in Funds of Hedge Funds?","year":2014,"lang":"en","type":"article","venue":"The journal of wealth management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Hedge fund; Equity (law); Valuation (finance); Stock (firearms); Stock market; Monetary economics; Economics; Institutional investor; Business; Finance; Political science; Law","score_opus":0.03550207645498418,"score_gpt":0.24103474317572585,"score_spread":0.20553266672074166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968188491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97999614,0.0016028186,0.0003699295,0.0017309806,0.000044144672,0.00001288842,0.00014415411,0.000016073694,0.016082864],"genre_scores_gemma":[0.9983171,0.00018664163,0.000059892245,0.00029620453,0.00010039222,0.000004265153,0.000050895178,0.0000042284037,0.0009803041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840754,0.0002747125,0.000111274,0.0002561635,0.00036396235,0.0005863944],"domain_scores_gemma":[0.9881364,0.005321813,0.004742154,0.0005338493,0.00039293143,0.00087274186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018729841,0.0001936551,0.00070414017,0.0015857326,0.0006787197,0.0038921395,0.00052646076,0.0016988243,0.010471665],"category_scores_gemma":[0.014560367,0.0003314808,0.00023135508,0.0011545335,0.0016147769,0.003814396,0.0018647023,0.0008864149,0.0010704986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002145366,0.0003544876,0.8160692,0.00026045562,0.00029214215,0.0012559852,0.004145908,0.0007474686,0.0025316975,0.029580412,0.0066500134,0.13596685],"study_design_scores_gemma":[0.00020318531,0.00036154262,0.93117344,0.00019787828,0.00021547476,0.000997062,0.008382123,0.00153198,0.0021182385,0.042663924,0.012095434,0.00005972925],"about_ca_topic_score_codex":0.0024668046,"about_ca_topic_score_gemma":0.005770642,"teacher_disagreement_score":0.010471665,"about_ca_system_score_codex":0.0008687774,"about_ca_system_score_gemma":0.00045406198,"threshold_uncertainty_score":0.03503126},"labels":[],"label_agreement":null},{"id":"W1968330591","doi":"10.12735/jfe.v2i1p15","title":"The Stochastic Discount Factor and Liquidity in Mexico and Chile","year":2014,"lang":"en","type":"article","venue":"Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Factor (programming language); Economics; Stochastic discount factor; Financial economics; Business; Monetary economics; Capital asset pricing model; Computer science","score_opus":0.016541022549416796,"score_gpt":0.19855564108526855,"score_spread":0.18201461853585174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968330591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99591714,0.0007429749,0.00018400582,0.0008752493,0.000005315141,0.0000046928335,0.0006182719,0.00000505385,0.0016473309],"genre_scores_gemma":[0.99823254,0.00047117082,0.00007010453,0.000028885843,0.000010476056,0.0000056375525,0.0005375698,0.0000023265995,0.000641256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992144,0.000016081249,0.000006094337,0.000018501076,0.000010550829,0.000027264856],"domain_scores_gemma":[0.99785453,0.00075686607,0.0010357858,0.00007115664,0.00012378095,0.00015790253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005163887,0.00009650685,0.00018591901,0.00060515886,0.00025724864,0.001076992,0.00024580382,0.00025634226,0.002325291],"category_scores_gemma":[0.00432871,0.00013247404,0.00021698221,0.0006949089,0.00031283108,0.0005843708,0.00062126375,0.0005270176,0.000056998288],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005790813,0.00008678466,0.9538415,0.000116887146,0.00028787146,0.0010636841,0.0017775827,0.01169725,0.00039936742,0.013690877,0.003264241,0.013194783],"study_design_scores_gemma":[0.0001313568,0.000060093433,0.9640435,0.00019062716,0.00017108012,0.00036981082,0.0036259268,0.015072699,0.00032684093,0.0072714314,0.0086877905,0.00004872082],"about_ca_topic_score_codex":0.10964941,"about_ca_topic_score_gemma":0.04363011,"teacher_disagreement_score":0.10964941,"about_ca_system_score_codex":0.0014338073,"about_ca_system_score_gemma":0.0006250139,"threshold_uncertainty_score":0.2180224},"labels":[],"label_agreement":null},{"id":"W1969878054","doi":"10.5539/ijef.v2n1p159","title":"Malaysian and Tiger Market Linkages: An Analysis on the Long Run Relationship and Risk Diversification","year":2010,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Cointegration; Economics; Capital asset pricing model; Granger causality; Tiger; Financial economics; Capital market; Equity (law); Johansen test; Monetary economics; Econometrics; Business; Error correction model; Finance","score_opus":0.023065456207937172,"score_gpt":0.21823365720580573,"score_spread":0.19516820099786855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969878054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99669015,0.00060333917,0.0006631082,0.00019783965,0.000003927871,0.0000052528453,0.00008043187,0.0000055644737,0.0017503834],"genre_scores_gemma":[0.99874216,0.0003076682,0.00017955406,0.000011314126,0.0000061550572,0.000002348565,0.000058096484,0.0000016045618,0.0006911878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998908,0.000029028157,0.000007463762,0.000018618937,0.000020382997,0.000033640223],"domain_scores_gemma":[0.99826306,0.00067140494,0.000708159,0.000051205658,0.00010676817,0.00019944181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069542526,0.00020791362,0.00019780814,0.001295425,0.00026515394,0.0014127297,0.00023164952,0.0004258732,0.0029589648],"category_scores_gemma":[0.0022209953,0.000122025085,0.00033662643,0.0013194883,0.00040250403,0.0011190168,0.00069304643,0.00060345395,0.00019676337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030465086,0.00015373118,0.92175454,0.00008763658,0.00025960512,0.0034671668,0.0011687882,0.012856823,0.0014704225,0.02651048,0.0009964099,0.030969732],"study_design_scores_gemma":[0.000020468422,0.00022381218,0.9140669,0.00006860651,0.00023685381,0.0010091128,0.0016680527,0.065621436,0.0008911353,0.011988804,0.0041653803,0.00003929238],"about_ca_topic_score_codex":0.00692101,"about_ca_topic_score_gemma":0.0058951783,"teacher_disagreement_score":0.00692101,"about_ca_system_score_codex":0.0005881212,"about_ca_system_score_gemma":0.0005536336,"threshold_uncertainty_score":0.013761461},"labels":[],"label_agreement":null},{"id":"W1970520517","doi":"10.1109/icieem.2009.5344525","title":"Do fund managers window-dress their quarterly reports?: An empirical study of the quarter-end effect of the stocks invested heavily by open-end funds","year":2009,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Equity (law); Autoregressive conditional heteroskedasticity; Stock exchange; Stock (firearms); Econometrics; Business; Autoregressive model; Heteroscedasticity; Economics; Financial economics; Volatility (finance); Monetary economics; Finance","score_opus":0.03882003039008528,"score_gpt":0.27475481556836673,"score_spread":0.23593478517828145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970520517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99967873,0.00007382035,0.00004764142,0.000032976055,0.0000022582458,0.0000025202405,0.000030318995,0.00000208188,0.00012970972],"genre_scores_gemma":[0.9996778,0.00005910525,0.000055970402,0.0000137875595,0.000013969467,0.0000021748158,0.000055889963,0.0000010946001,0.00012027324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994912,0.00016950608,0.000072951865,0.00009955032,0.00009029959,0.000076425844],"domain_scores_gemma":[0.977241,0.008049219,0.012069776,0.00089385454,0.0005446434,0.0012015322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017383429,0.00019808709,0.0002624817,0.00072103826,0.00020009186,0.0008513701,0.0002867439,0.0004953029,0.0010740822],"category_scores_gemma":[0.013388566,0.00014918404,0.00021755106,0.00055545557,0.0001862279,0.0007109078,0.0003434712,0.0004185546,0.0002699446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040694993,0.00027730607,0.9818533,0.000014418198,0.00007197963,0.00018080186,0.0010639417,0.00012777708,0.001205754,0.00009281674,0.00019380382,0.014511167],"study_design_scores_gemma":[0.000006948228,0.00016651323,0.9973484,0.000004373767,0.000040526746,0.00012793204,0.0006718282,0.0009419597,0.0003907572,0.000051271272,0.00024283234,0.000006640119],"about_ca_topic_score_codex":0.0019528191,"about_ca_topic_score_gemma":0.002027042,"teacher_disagreement_score":0.0019528191,"about_ca_system_score_codex":0.00022295162,"about_ca_system_score_gemma":0.00015152172,"threshold_uncertainty_score":0.009193301},"labels":[],"label_agreement":null},{"id":"W1970569375","doi":"10.2139/ssrn.1632667","title":"Is China’s P/E Ratio Too Low? Examining the Role of Earnings Volatility","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Earnings; Volatility (finance); China; Economics; Econometrics; Political science; Accounting; Law","score_opus":0.010688069163513496,"score_gpt":0.198383035978755,"score_spread":0.1876949668152415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970569375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903206,0.0005932645,0.000081799706,0.0041824295,0.00003199226,0.000006139046,0.00015265898,0.0000074090517,0.0046235817],"genre_scores_gemma":[0.99940026,0.00014303272,0.000012096911,0.000103950995,0.000027291451,7.1690454e-7,0.000055913148,0.0000015508873,0.0002552403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969995,0.000039321225,0.000018976893,0.0000614441,0.000059558948,0.0001207531],"domain_scores_gemma":[0.9980715,0.00042669577,0.0007626941,0.0000743862,0.0002885518,0.00037625528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090691913,0.00022724521,0.0004144864,0.0009456807,0.00069818314,0.0021859384,0.00059164065,0.0008499949,0.0023421003],"category_scores_gemma":[0.0024419483,0.00014314326,0.00036533864,0.0013112469,0.001026394,0.0012712769,0.0005973274,0.0007084166,0.00022874035],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023138984,0.000071061564,0.96561664,0.00006842147,0.00014960425,0.0017554351,0.00084086135,0.00069356244,0.0014236597,0.009827398,0.0029470276,0.016374858],"study_design_scores_gemma":[0.000024983436,0.00008990354,0.98976946,0.000019188303,0.00008830391,0.0001446451,0.0021145314,0.0025686976,0.000516073,0.0024552247,0.0021877785,0.000021251124],"about_ca_topic_score_codex":0.041917443,"about_ca_topic_score_gemma":0.03386365,"teacher_disagreement_score":0.041917443,"about_ca_system_score_codex":0.0013630197,"about_ca_system_score_gemma":0.0018273349,"threshold_uncertainty_score":0.0833469},"labels":[],"label_agreement":null},{"id":"W1970839027","doi":"10.17722/ijme.v3i1.117","title":"Performance, Expenses and Funds Flows: Evidence from the Greek Mutual Fund Market","year":2014,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Expense ratio; Closed-end fund; Fund of funds; Equity (law); Business; Monetary economics; Competition (biology); Capital flows; Income fund; Open-end fund; Passive management; Finance; Economics; Fund administration; Institutional investor; Microeconomics","score_opus":0.044697107808114624,"score_gpt":0.23248858838995626,"score_spread":0.18779148058184164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970839027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99807215,0.00022503785,0.00005699993,0.00007631159,0.0000018901497,0.0000042029133,0.00014772099,0.0000023225637,0.0014131945],"genre_scores_gemma":[0.999366,0.00015700264,0.000039185474,0.000011081911,0.0000064734168,0.0000020698533,0.0002457257,0.0000016105972,0.00017080452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993255,0.0001896265,0.00009532301,0.00008496837,0.00021029211,0.00009439863],"domain_scores_gemma":[0.9938844,0.0016012042,0.0035489374,0.00021642877,0.00037560432,0.00037347563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010932627,0.0001937574,0.00028680978,0.0018241466,0.0002412206,0.001227132,0.0002520937,0.00054358394,0.0012267471],"category_scores_gemma":[0.0062217494,0.00011075588,0.00022313026,0.0014238465,0.0006142418,0.0016599313,0.0011235029,0.00034374377,0.000289224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005959829,0.00023134684,0.9602895,0.00014155051,0.00015699578,0.0012022628,0.0030473813,0.0021647091,0.0019287374,0.0036898467,0.0014211388,0.025130697],"study_design_scores_gemma":[0.000013398939,0.00010218336,0.99277073,0.000028671302,0.000026407019,0.00032793704,0.0015601568,0.0012001423,0.0005648267,0.0005973741,0.0027932047,0.000014885757],"about_ca_topic_score_codex":0.0022921413,"about_ca_topic_score_gemma":0.0020797846,"teacher_disagreement_score":0.0022921413,"about_ca_system_score_codex":0.0005731111,"about_ca_system_score_gemma":0.0003448504,"threshold_uncertainty_score":0.0057818294},"labels":[],"label_agreement":null},{"id":"W1971765540","doi":"10.1016/j.rfe.2012.04.001","title":"A logit model of retail investors' individual trading decisions and their relations to insider trades","year":2012,"lang":"en","type":"article","venue":"Review of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Insider trading; Insider; Copying; Business; Stock (firearms); Financial economics; Sample (material); Logit; Monetary economics; Econometrics; Economics; Finance","score_opus":0.12072831713033824,"score_gpt":0.24575314481539626,"score_spread":0.12502482768505802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971765540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9528918,0.0006177421,0.040154107,0.0014640618,0.000041441155,0.00010291274,0.0012809535,0.00014167112,0.003305233],"genre_scores_gemma":[0.99314135,0.00027634547,0.0015945463,0.000034108998,0.000032533284,0.00004447956,0.00030944266,0.0000071948116,0.004559946],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987796,0.00059330126,0.000076508404,0.0002624206,0.000116889474,0.00017123063],"domain_scores_gemma":[0.9730128,0.021903593,0.0034657358,0.0005903903,0.00054150034,0.00048608845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036251955,0.00053436245,0.0011027614,0.0016118016,0.00036059623,0.0027311137,0.0012374665,0.00167488,0.008993364],"category_scores_gemma":[0.014078347,0.0005216957,0.000992659,0.0015652776,0.00094004464,0.0020420912,0.0008540534,0.0012287614,0.0009465444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013192028,0.0009052887,0.54427,0.00027393815,0.0008957663,0.0030862922,0.0011714188,0.35197264,0.0016688372,0.049516972,0.003102625,0.041817054],"study_design_scores_gemma":[0.00008217856,0.00028643248,0.04752691,0.00004283267,0.00022046067,0.00035621886,0.0003781183,0.93561864,0.00036768668,0.014004009,0.0010422524,0.00007421906],"about_ca_topic_score_codex":0.009788612,"about_ca_topic_score_gemma":0.004395457,"teacher_disagreement_score":0.009788612,"about_ca_system_score_codex":0.0009864015,"about_ca_system_score_gemma":0.00042663713,"threshold_uncertainty_score":0.030085802},"labels":[],"label_agreement":null},{"id":"W1971975746","doi":"10.1198/073500103288619052","title":"The Shape of the Risk Premium","year":2003,"lang":"en","type":"article","venue":"Journal of Business and Economic Statistics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"Economic and Social Research Council; Mitacs","keywords":"Conditional variance; Conditional expectation; Econometrics; Risk premium; Variance (accounting); Mathematics; Economics; Parametric statistics; Semiparametric model; Variance risk premium; Statistics; Nonparametric statistics; Autoregressive conditional heteroskedasticity; Volatility risk premium; Volatility (finance); Stochastic volatility","score_opus":0.01820507072617716,"score_gpt":0.19645093344824624,"score_spread":0.17824586272206908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971975746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8503032,0.0008686897,0.12325142,0.004084751,0.00009072454,0.00002490936,0.000255128,0.00035550867,0.020765705],"genre_scores_gemma":[0.99738485,0.00015699805,0.0010790143,0.000073445604,0.000051943327,0.0000036211845,0.000045700624,0.000045446894,0.0011588616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996136,0.0001020249,0.000014169908,0.000107938016,0.00008660021,0.000075689444],"domain_scores_gemma":[0.99133694,0.005302738,0.0017938811,0.0006616773,0.0005115153,0.0003932579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016607211,0.0004523967,0.00045928537,0.00067515246,0.00023535496,0.0019450345,0.0009836743,0.0019586503,0.0038786873],"category_scores_gemma":[0.020848837,0.00041540488,0.00050672336,0.00045969136,0.0010562622,0.0021932663,0.0009471036,0.0019262689,0.0006067745],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005133111,0.0002595027,0.083140515,0.00019710198,0.00022850759,0.0022994338,0.0010018809,0.23742877,0.041554727,0.57357687,0.0055817394,0.054217774],"study_design_scores_gemma":[0.00006171988,0.00015334171,0.04754991,0.000040090486,0.0000726666,0.0011376317,0.00022261079,0.67403775,0.0033046138,0.27181605,0.00149065,0.00011296804],"about_ca_topic_score_codex":0.0011473808,"about_ca_topic_score_gemma":0.000631235,"teacher_disagreement_score":0.0038786873,"about_ca_system_score_codex":0.0007302663,"about_ca_system_score_gemma":0.00035239157,"threshold_uncertainty_score":0.012975514},"labels":[],"label_agreement":null},{"id":"W1972232770","doi":"10.1002/jae.1224","title":"When Kahneman meets Manski: Using dual systems of reasoning to interpret subjective expectations of equity returns","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Ciencia y Tecnología; Universitat de Barcelona; Université Laval","keywords":"Sketch; Economics; Dual (grammatical number); Equity (law); Econometrics; Simple (philosophy); Actuarial science; Computer science; Epistemology; Philosophy; Political science","score_opus":0.04612736372084098,"score_gpt":0.26039918849741095,"score_spread":0.21427182477656997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972232770","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18965343,0.00063735194,0.76449907,0.010039981,0.00026453997,0.00018237745,0.00022794052,0.000159609,0.034335673],"genre_scores_gemma":[0.9143494,0.00016399016,0.08281737,0.0005799281,0.00011941124,0.00014200505,0.0001032757,0.000033025775,0.0016915211],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9899422,0.005349576,0.00089324574,0.0012490122,0.0017745586,0.00079139636],"domain_scores_gemma":[0.97210276,0.018289601,0.0042071277,0.0025391409,0.0019398836,0.0009214529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01753921,0.0007569909,0.0012342299,0.002869128,0.0013008434,0.0077353814,0.0018066509,0.0033378762,0.004205308],"category_scores_gemma":[0.06799943,0.0009545712,0.0023093696,0.0013900416,0.009239864,0.015267535,0.0045594475,0.0039120577,0.0006948664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012969856,0.000042635693,0.0037262046,0.00006975765,0.00007429133,0.00030966062,0.0030727282,0.00644892,0.0005245848,0.9764073,0.00075937907,0.008434898],"study_design_scores_gemma":[0.000020376843,0.000016088508,0.0004934838,0.000019554142,0.00001565113,0.00008947652,0.00034106462,0.03284759,0.00016431641,0.9652501,0.0007179931,0.000024250565],"about_ca_topic_score_codex":0.0029182618,"about_ca_topic_score_gemma":0.0016781912,"teacher_disagreement_score":0.01753921,"about_ca_system_score_codex":0.0027068756,"about_ca_system_score_gemma":0.0016019256,"threshold_uncertainty_score":0.092757344},"labels":[],"label_agreement":null},{"id":"W1972670092","doi":"10.1016/j.jbankfin.2012.10.001","title":"Commonalities in investment strategy and the determinants of performance in mutual fund mergers","year":2012,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business; Mutual fund; Closed-end fund; Fund of funds; Income fund; Open-end fund; Portfolio; Fund administration; Manager of managers fund; Finance; Index fund; Passive management; Sovereign wealth fund; Corporate governance; Institutional investor; Economics; Microeconomics; Incentive","score_opus":0.05405693838333255,"score_gpt":0.24304947116081532,"score_spread":0.18899253277748276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972670092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989243,0.000076914795,0.00007699434,0.00016235617,0.0000015719434,0.0000031731242,0.000014858588,0.0000016440646,0.00073816447],"genre_scores_gemma":[0.99984527,0.00002257669,0.00002263147,0.00000875443,0.00000424773,9.1499714e-7,0.000016945918,9.2513324e-7,0.000077698205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983601,0.00056084874,0.00018520723,0.0001676703,0.0003130872,0.0004130477],"domain_scores_gemma":[0.9615504,0.019912563,0.012480821,0.0015703368,0.0013740163,0.0031118847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029177733,0.00016677899,0.00037500486,0.0014108932,0.00063109305,0.0028799486,0.00046534365,0.0012151182,0.0023894906],"category_scores_gemma":[0.024011087,0.00024835864,0.0003879032,0.0015211145,0.0014779225,0.0019127977,0.0018605659,0.0011092115,0.000279138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002750109,0.00018924836,0.9879127,0.000010843771,0.0001296656,0.0001435611,0.00094142754,0.0009316209,0.00064441893,0.0030346646,0.00014447706,0.005642285],"study_design_scores_gemma":[0.000017150978,0.00011877569,0.9909065,0.000013542887,0.000051639858,0.00012275623,0.001865464,0.0020697422,0.00027958152,0.004276235,0.00026606763,0.000012658609],"about_ca_topic_score_codex":0.004597814,"about_ca_topic_score_gemma":0.008346822,"teacher_disagreement_score":0.004597814,"about_ca_system_score_codex":0.0010240527,"about_ca_system_score_gemma":0.00082718366,"threshold_uncertainty_score":0.015430808},"labels":[],"label_agreement":null},{"id":"W1973728270","doi":"10.1016/j.jcae.2012.06.001","title":"Capital gains taxes and the market response to public announcements in an indexation-based tax regime","year":2012,"lang":"en","type":"article","venue":"Journal of Contemporary Accounting & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia; University of Melbourne; Monash University","keywords":"Indexation; Economics; Monetary economics; Inflation (cosmology); Capital market; Capital gains tax; Capital (architecture); Indirect tax; Tax reform; Public economics; Monetary policy; Finance","score_opus":0.04376059696040437,"score_gpt":0.24032613307846235,"score_spread":0.19656553611805797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973728270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915577,0.00007104103,0.00041522708,0.0018196299,0.000043268727,0.000013863002,0.00007979495,0.000018235785,0.0059811575],"genre_scores_gemma":[0.9984647,0.000041340176,0.000044804503,0.00007826506,0.000046385816,0.0000031721481,0.00003691033,0.000005118619,0.001279121],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943596,0.00015724411,0.00004729747,0.0000742297,0.00009208463,0.00019313744],"domain_scores_gemma":[0.97828925,0.011856851,0.006867744,0.0005385796,0.0009600687,0.0014875943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027714202,0.00018002646,0.00050676754,0.00048322178,0.0006534704,0.0037730252,0.000638302,0.0023151503,0.0076251095],"category_scores_gemma":[0.024282094,0.00029030003,0.00034001173,0.0005689564,0.0010435799,0.0017467703,0.0010179097,0.0028914143,0.00072757393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018835891,0.006709585,0.5714123,0.0002431518,0.0006289525,0.0030170754,0.004466626,0.064337865,0.035318274,0.22591962,0.01738227,0.05172854],"study_design_scores_gemma":[0.0012536842,0.0015031461,0.66706675,0.000053190743,0.00059469463,0.00030981077,0.005832253,0.18302049,0.00743863,0.1246059,0.008093197,0.00022818301],"about_ca_topic_score_codex":0.006391705,"about_ca_topic_score_gemma":0.0076742726,"teacher_disagreement_score":0.0076251095,"about_ca_system_score_codex":0.0017212573,"about_ca_system_score_gemma":0.0009596225,"threshold_uncertainty_score":0.025508523},"labels":[],"label_agreement":null},{"id":"W1973734256","doi":"10.1017/s0266466601172099","title":"A NOTE ON BAYESIAN INFERENCE IN ASSET PRICING","year":2001,"lang":"en","type":"article","venue":"Econometric Theory","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Capital asset pricing model; Bayesian probability; Econometrics; Posterior probability; Bayesian inference; Inference; Mathematics; Asset (computer security); Consumption-based capital asset pricing model; Statistical inference; Distribution (mathematics); Mathematical economics; Economics; Computer science; Statistics; Artificial intelligence","score_opus":0.02684982410844083,"score_gpt":0.23644805657640808,"score_spread":0.20959823246796724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973734256","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012697709,0.0066831587,0.95024544,0.026720714,0.0015802254,0.000029542405,0.00010818,0.00011328802,0.013249665],"genre_scores_gemma":[0.20987841,0.027070727,0.6806967,0.033525296,0.029476942,0.00050081563,0.0004035733,0.0008338193,0.017613832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9766188,0.013467078,0.0009891065,0.0026647248,0.0057660798,0.00049422274],"domain_scores_gemma":[0.812981,0.17623916,0.0016764029,0.005396992,0.003149473,0.00055695034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.038080882,0.0015941521,0.0026832523,0.0025351646,0.0021603783,0.0053458745,0.0045740986,0.007643277,0.006203017],"category_scores_gemma":[0.14252217,0.0017851526,0.0028609298,0.0036888921,0.013274743,0.017441709,0.0057955026,0.017119536,0.0020833148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017267861,0.000016090873,0.00029625706,0.00008105012,0.000067143075,0.0001030624,0.0001554782,0.011633203,0.000065865264,0.96457094,0.00634538,0.016648306],"study_design_scores_gemma":[0.000010548358,0.000005738347,0.00009503622,0.000054362463,0.000009957019,0.000039093018,0.000010107599,0.016695132,0.000056380555,0.97674847,0.006257998,0.000017141609],"about_ca_topic_score_codex":0.009203463,"about_ca_topic_score_gemma":0.006161472,"teacher_disagreement_score":0.038080882,"about_ca_system_score_codex":0.0035783227,"about_ca_system_score_gemma":0.0025295625,"threshold_uncertainty_score":0.20139337},"labels":[],"label_agreement":null},{"id":"W1974040034","doi":"10.3905/jwm.2014.17.2.009","title":"Diversification versus Concentration Motivesin Mutual Fund Mergers","year":2014,"lang":"en","type":"article","venue":"The journal of wealth management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Diversification (marketing strategy); Business; Credence; Mutual fund; Monetary economics; Expense ratio; Closed-end fund; Finance; Economics; Marketing; Statistics","score_opus":0.04869091666151326,"score_gpt":0.2417273621986089,"score_spread":0.19303644553709565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974040034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99836963,0.000128483,0.00011406424,0.00007915532,8.627306e-7,0.0000037307852,0.000008034784,0.0000015341527,0.0012944983],"genre_scores_gemma":[0.9996208,0.000045977962,0.0000582144,0.000008352249,0.0000068625677,0.0000015717227,0.0000153764,3.905848e-7,0.00024234012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994986,0.0001635669,0.000032898944,0.000051071005,0.00015025039,0.00010355958],"domain_scores_gemma":[0.9924091,0.0017070562,0.00476816,0.00018527258,0.00030753732,0.00062282156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009092531,0.00016491096,0.00020548911,0.0012143956,0.00042546116,0.0011565969,0.0001554314,0.00041624522,0.0020294131],"category_scores_gemma":[0.005899614,0.00007870785,0.00012445549,0.00075527315,0.0007754416,0.0010645984,0.0010387789,0.00026615796,0.00018046987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031860272,0.00016993261,0.9591906,0.000029392806,0.000041348718,0.00027237425,0.0014051875,0.00046873814,0.0035111955,0.0037792276,0.0002194133,0.03059397],"study_design_scores_gemma":[0.000011407137,0.00015245458,0.99360245,0.0000135098135,0.000017186707,0.00035763046,0.00107842,0.0012908033,0.0009729051,0.0018093581,0.0006839764,0.000009794034],"about_ca_topic_score_codex":0.0010939664,"about_ca_topic_score_gemma":0.0018427823,"teacher_disagreement_score":0.0020294131,"about_ca_system_score_codex":0.00064409984,"about_ca_system_score_gemma":0.00030755828,"threshold_uncertainty_score":0.0067890882},"labels":[],"label_agreement":null},{"id":"W1974446701","doi":"10.2139/ssrn.2309763","title":"Redefining Risk: Propositions to Motivate a Re-Examination of the Standard Risk vs. Return Relationship in Common Stock and Bond Portfolio Management","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University; University of New Brunswick","funders":"","keywords":"Bond; Actuarial science; Risk management; Portfolio; Business; Stock (firearms); Common stock; Financial economics; Project portfolio management; Risk–return spectrum; Financial risk management; Economics; Finance; Management; Engineering; Geography; Project management","score_opus":0.013052888006306492,"score_gpt":0.20955125751586504,"score_spread":0.19649836950955854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974446701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12482956,0.020768628,0.7428174,0.057079475,0.0011149811,0.00007774301,0.000113498805,0.00022470062,0.052974004],"genre_scores_gemma":[0.88648903,0.008372206,0.09636439,0.0023896687,0.0013916262,0.00007078707,0.000024556552,0.00009458528,0.0048030866],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980868,0.0010139033,0.000118272794,0.00028004605,0.00038302792,0.00011802389],"domain_scores_gemma":[0.9831981,0.011308367,0.0018572286,0.0016911436,0.0015035433,0.00044162525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009255014,0.00076179794,0.0007826232,0.0016000461,0.00081834284,0.006269231,0.0020909093,0.0029730375,0.0029765689],"category_scores_gemma":[0.03163809,0.00031826433,0.0006143856,0.0021183537,0.008678869,0.014311701,0.002505437,0.004951652,0.00028646708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016297574,0.00003469757,0.0010539618,0.000056533725,0.000010916117,0.00004995797,0.0002728665,0.002537714,0.00026489308,0.97377115,0.0010159204,0.020915123],"study_design_scores_gemma":[0.0000065066874,0.000034432953,0.000984207,0.00007271348,0.000015304016,0.000056201057,0.00015124948,0.011663925,0.0003432875,0.98193043,0.004723597,0.000018210192],"about_ca_topic_score_codex":0.0013921406,"about_ca_topic_score_gemma":0.0015598364,"teacher_disagreement_score":0.009255014,"about_ca_system_score_codex":0.0017981748,"about_ca_system_score_gemma":0.0013650404,"threshold_uncertainty_score":0.048945725},"labels":[],"label_agreement":null},{"id":"W1974519272","doi":"10.1016/j.econmod.2012.09.030","title":"Conditional market beta for REITs: A comparison of modeling techniques","year":2012,"lang":"en","type":"article","venue":"Economic Modelling","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Real estate investment trust; BETA (programming language); Equity (law); Economics; Econometrics; Sample (material); State-space representation; Financial economics; Computer science; Finance; Real estate; Physics","score_opus":0.09821192906081486,"score_gpt":0.27512809751092465,"score_spread":0.1769161684501098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974519272","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040107757,0.0016131648,0.952975,0.00038361235,0.0000654551,0.000044187796,0.00020013544,0.000921208,0.003689426],"genre_scores_gemma":[0.6736537,0.0046261707,0.30858052,0.00023933916,0.0003547064,0.00030299078,0.0009376425,0.0018771592,0.009427834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998558,0.0009551341,0.000061827144,0.00013101194,0.00018918727,0.00010498112],"domain_scores_gemma":[0.9829731,0.014163992,0.0007794558,0.0010301945,0.0008304373,0.00022281281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009024718,0.0012174724,0.0021994913,0.0017329521,0.00056507124,0.0032427376,0.0022821897,0.0018367139,0.004417571],"category_scores_gemma":[0.025290549,0.00080092566,0.0017303037,0.001481438,0.00067160005,0.004176961,0.0011282397,0.0028317203,0.00095197896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035667443,0.00009738642,0.0018258969,0.00019322606,0.00022113095,0.000096670396,0.00025462918,0.7666493,0.00079807255,0.14856307,0.0019733997,0.07897052],"study_design_scores_gemma":[0.000018350816,0.000017999657,0.00034525327,0.00002137455,0.000031317053,0.000028124034,0.000015190106,0.97876877,0.0001973149,0.019874271,0.0006628657,0.000019246077],"about_ca_topic_score_codex":0.007798145,"about_ca_topic_score_gemma":0.0045181364,"teacher_disagreement_score":0.009024718,"about_ca_system_score_codex":0.0012814966,"about_ca_system_score_gemma":0.0013597951,"threshold_uncertainty_score":0.047727883},"labels":[],"label_agreement":null},{"id":"W1974569199","doi":"10.4236/ti.2011.22013","title":"Are Trading Rules Profitable in Exchange-Traded Funds?","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Algorithmic trading; Business; Alternative trading system; Trading strategy; Balance (ability); Financial economics; Economics; Monetary economics; Finance","score_opus":0.07100256930014866,"score_gpt":0.21382213623908028,"score_spread":0.1428195669389316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974569199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825653,0.0018791764,0.0021317985,0.0015563149,0.000025865069,0.000012141873,0.000107103384,0.000018606046,0.011703661],"genre_scores_gemma":[0.99897456,0.0004282028,0.00021416154,0.000043825763,0.000045703022,0.0000030081862,0.00004286353,0.0000029207242,0.00024478036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987282,0.00033057388,0.00011825493,0.00017303272,0.00042979693,0.00022014962],"domain_scores_gemma":[0.9762887,0.01197367,0.009590237,0.00060343166,0.00080163253,0.0007423008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002002752,0.00020313119,0.0005306504,0.0011443883,0.00042961864,0.00458942,0.00041886076,0.0013599,0.0018286061],"category_scores_gemma":[0.025182785,0.00016342248,0.0002489677,0.0008780194,0.0020503893,0.004660252,0.0008009563,0.00072426925,0.00031397396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012908172,0.00026016962,0.6931195,0.00027165565,0.00038623755,0.0023212142,0.00087507523,0.015005943,0.0036377397,0.14868808,0.0031063561,0.13103719],"study_design_scores_gemma":[0.00025970765,0.0005169598,0.46832418,0.00023817846,0.00023316774,0.002887868,0.0041669044,0.05654363,0.003889774,0.4527593,0.01006689,0.000113383256],"about_ca_topic_score_codex":0.0008562775,"about_ca_topic_score_gemma":0.000808891,"teacher_disagreement_score":0.00458942,"about_ca_system_score_codex":0.00074973004,"about_ca_system_score_gemma":0.00047398423,"threshold_uncertainty_score":0.010591686},"labels":[],"label_agreement":null},{"id":"W1974589317","doi":"10.1016/j.finmar.2012.05.001","title":"Can representativeness heuristic traders survive in a competitive securities market?","year":2012,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Representativeness heuristic; Profit (economics); Heuristic; Profitability index; Replicate; Microeconomics; Economics; Business; Financial economics; Computer science; Finance","score_opus":0.028326551689233637,"score_gpt":0.23339371594717664,"score_spread":0.205067164257943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974589317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9410618,0.00026568797,0.03183223,0.007920725,0.00015617619,0.00005422896,0.00007819381,0.00017708054,0.018453972],"genre_scores_gemma":[0.99546486,0.0000697214,0.00193132,0.0002654618,0.000053067048,0.000013193078,0.000027124475,0.00002243632,0.0021529286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991295,0.0003607761,0.00004323959,0.00012950561,0.00009979818,0.00023727406],"domain_scores_gemma":[0.9871696,0.00658387,0.0020562029,0.0020383813,0.0006011218,0.0015508458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045377617,0.00037424418,0.0014654526,0.00050499063,0.0015444153,0.0036782837,0.0014503871,0.005046204,0.009710127],"category_scores_gemma":[0.031624738,0.00048058663,0.0006424491,0.00038223102,0.0025662172,0.007356606,0.0014381169,0.0027291337,0.0008617925],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015317554,0.00067652186,0.03196472,0.0002076098,0.00040322507,0.0019432502,0.0017782788,0.13551417,0.0034710534,0.7465299,0.017011283,0.058968265],"study_design_scores_gemma":[0.00023860067,0.00028678263,0.002781933,0.000027365915,0.000052010582,0.00033259753,0.0010593835,0.2641621,0.0006587567,0.7285354,0.0018250435,0.00003998548],"about_ca_topic_score_codex":0.00075193594,"about_ca_topic_score_gemma":0.0008231797,"teacher_disagreement_score":0.009710127,"about_ca_system_score_codex":0.0006822827,"about_ca_system_score_gemma":0.0010538906,"threshold_uncertainty_score":0.032483637},"labels":[],"label_agreement":null},{"id":"W1974694999","doi":"10.2139/ssrn.533323","title":"Stock Market Anomalies: Corroborating Evidence from Repurchases and Insider Trading","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Insider trading; Business; Insider; Financial system; Stock market; Accounting; Stock (firearms); Financial economics; Monetary economics; Economics; Finance; Law; Political science","score_opus":0.03386160523212807,"score_gpt":0.22885957925688327,"score_spread":0.19499797402475522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974694999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966426,0.0002245435,0.00035925195,0.00013512274,0.0000133595695,0.000010566133,0.00056417804,0.00002281771,0.0020276727],"genre_scores_gemma":[0.99831843,0.00017393834,0.00030179997,0.00003452946,0.00006776412,0.000005429421,0.0007655572,0.000010371045,0.00032225277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985306,0.00022910711,0.00023340226,0.00024225042,0.00058023416,0.0001843336],"domain_scores_gemma":[0.93741435,0.02143203,0.026485402,0.008367959,0.004683188,0.0016170711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002215811,0.00033193367,0.00052974373,0.002500595,0.00043543565,0.0017503992,0.0009797044,0.0013265477,0.0036483537],"category_scores_gemma":[0.029070392,0.00033011715,0.00035789696,0.0029142934,0.0009771051,0.00218473,0.0010274603,0.0012208133,0.0009907301],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010689256,0.00029931322,0.9699467,0.00008280882,0.00021108941,0.000773955,0.00074522756,0.0002877759,0.008349815,0.0015764813,0.0007875756,0.015870353],"study_design_scores_gemma":[0.000056107343,0.00016181421,0.99354976,0.00001239623,0.00010233369,0.0006242517,0.00026784115,0.001077841,0.002222593,0.0010872975,0.000821628,0.000016194614],"about_ca_topic_score_codex":0.0029713092,"about_ca_topic_score_gemma":0.0028614565,"teacher_disagreement_score":0.0036483537,"about_ca_system_score_codex":0.00030950436,"about_ca_system_score_gemma":0.00029804057,"threshold_uncertainty_score":0.012204945},"labels":[],"label_agreement":null},{"id":"W1975204853","doi":"10.1111/j.0732-8516.2004.00084.x","title":"The Effect of Demand on Stock Prices: Evidence from Index Fund Rebalancing","year":2004,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University","funders":"","keywords":"Index fund; Index (typography); Monetary economics; Economics; Business; Stock (firearms); Financial economics; Stock market index; International economics; Financial system; Finance; Corporate governance; Open-end fund; Stock market; Institutional investor","score_opus":0.045180204949455655,"score_gpt":0.2643413236642326,"score_spread":0.21916111871477692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975204853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975661,0.00028540337,0.000032256514,0.00027349094,0.0000054396337,0.000003527176,0.00016431873,0.0000044854028,0.0016650313],"genre_scores_gemma":[0.99924695,0.00021571896,0.000017234564,0.000037639802,0.000020448973,0.0000021832445,0.00022743845,0.000001670201,0.00023075168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943167,0.00019322135,0.000048789618,0.00005670619,0.0001904343,0.0000790935],"domain_scores_gemma":[0.9760833,0.011209529,0.00946442,0.0010524687,0.0013069502,0.00088329223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010732434,0.00022444419,0.0004094689,0.00057813554,0.00026430713,0.00101071,0.00043453253,0.0008274221,0.0033233312],"category_scores_gemma":[0.012537356,0.00016953357,0.0002751251,0.0007209136,0.0006244319,0.000529176,0.00043128477,0.0009782345,0.00058887026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0067101205,0.0016536838,0.9380068,0.00020345772,0.00038626837,0.0011326153,0.000800256,0.0037167035,0.011926179,0.0011763887,0.003201804,0.031085692],"study_design_scores_gemma":[0.00016555015,0.00077441905,0.99214655,0.000012767184,0.000104732,0.00017239004,0.0006153108,0.0020925393,0.0020263966,0.00044735262,0.0014202999,0.000021782676],"about_ca_topic_score_codex":0.009907943,"about_ca_topic_score_gemma":0.0073493146,"teacher_disagreement_score":0.009907943,"about_ca_system_score_codex":0.0009326729,"about_ca_system_score_gemma":0.00022111493,"threshold_uncertainty_score":0.019700527},"labels":[],"label_agreement":null},{"id":"W1975532721","doi":"10.3905/jfi.2000.319240","title":"Explaining the Future Performance of Domestic Bond Mutual Funds","year":2000,"lang":"en","type":"article","venue":"The Journal of Fixed Income","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bond; Mutual fund; Business; Income fund; Quarter (Canadian coin); Expense ratio; Closed-end fund; Finance; Open-end fund; Economics; Institutional investor; Geography; Market liquidity","score_opus":0.01594740446275405,"score_gpt":0.20994953382900577,"score_spread":0.19400212936625172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975532721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99798846,0.00020646461,0.00060193683,0.00021939323,0.0000057680163,0.0000068148292,0.00018207844,0.000013173941,0.00077596796],"genre_scores_gemma":[0.99876285,0.00013408736,0.00023267548,0.000005992473,0.000012109989,0.0000039603406,0.0004006583,0.0000038299595,0.00044383865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960476,0.00012059027,0.000037544705,0.000054003565,0.00007465745,0.00010840158],"domain_scores_gemma":[0.99526715,0.0016837759,0.0018354647,0.00022401409,0.00056589535,0.00042373172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024663692,0.00045138554,0.0003522933,0.0011815958,0.00041621603,0.0015226005,0.0004993275,0.0008041024,0.001374845],"category_scores_gemma":[0.012401503,0.00020261917,0.00047622592,0.0009342952,0.00033059556,0.0009699575,0.0009175237,0.0007009646,0.00044823677],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026695835,0.00008386793,0.94744265,0.000022107817,0.000103929444,0.0002052157,0.0002864889,0.027851744,0.00042187216,0.0032055676,0.00096430554,0.019145258],"study_design_scores_gemma":[0.00005744921,0.00028907726,0.7580767,0.00003558907,0.00012681769,0.00022829666,0.0005008282,0.22934252,0.0014682775,0.00676956,0.0030571546,0.000047757334],"about_ca_topic_score_codex":0.011944092,"about_ca_topic_score_gemma":0.0082994085,"teacher_disagreement_score":0.011944092,"about_ca_system_score_codex":0.001356686,"about_ca_system_score_gemma":0.0004444346,"threshold_uncertainty_score":0.023749113},"labels":[],"label_agreement":null},{"id":"W1975689891","doi":"10.1111/1468-5957.00423","title":"Direct Evidence of Non‐trading on the London Stock Exchange","year":2002,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Stock exchange; Stock (firearms); Equity (law); Financial economics; Economics; Trading strategy; Econometrics; Algorithmic trading; Business; Monetary economics; Finance; Geography","score_opus":0.08460339019404055,"score_gpt":0.23874789973739788,"score_spread":0.15414450954335734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975689891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829789,0.00092343404,0.00016798325,0.00088977575,0.000042835214,0.0000140540305,0.0030447922,0.000017811219,0.011920445],"genre_scores_gemma":[0.99446964,0.00044466413,0.000083745756,0.000113994516,0.000057999587,0.000007189733,0.0024898609,0.0000044869475,0.0023283854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789965,0.00031027241,0.00042682275,0.00022139747,0.00088523095,0.00025667765],"domain_scores_gemma":[0.9206034,0.01468907,0.04903333,0.005626059,0.006832504,0.003215779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011975152,0.00019834941,0.00033157595,0.0019668038,0.00035267492,0.0011510075,0.0005549605,0.00061234593,0.008135406],"category_scores_gemma":[0.015466117,0.00019995263,0.00021573291,0.0021227954,0.0006599061,0.0010047121,0.0010745181,0.00070379535,0.0017543405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029989288,0.000037582813,0.98708296,0.00009509952,0.00007811968,0.00047197213,0.00061403745,0.00006391711,0.0012296083,0.00074528175,0.002174724,0.0071068374],"study_design_scores_gemma":[0.000008202872,0.000044070814,0.99680746,0.000020221376,0.000010585079,0.00032270202,0.0002104433,0.00009595595,0.00038807924,0.00007746628,0.002007841,0.0000070127294],"about_ca_topic_score_codex":0.011479083,"about_ca_topic_score_gemma":0.027210455,"teacher_disagreement_score":0.011479083,"about_ca_system_score_codex":0.00052354357,"about_ca_system_score_gemma":0.00041078177,"threshold_uncertainty_score":0.02721566},"labels":[],"label_agreement":null},{"id":"W1976087754","doi":"10.5539/ijef.v4n11p15","title":"Cyclical Variations in the Performance of Exchange-traded Funds","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predictive power; Economics; Volatility (finance); Dividend; Monetary economics; Recession; Great recession; Macro; Econometrics; Dividend yield; Yield (engineering); Financial economics; Macroeconomics; Finance; Dividend policy; Keynesian economics","score_opus":0.035098873207069364,"score_gpt":0.23222688186502483,"score_spread":0.19712800865795546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976087754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972498,0.00033377454,0.00069120625,0.0002040669,0.000014230409,0.000005281138,0.0003933283,0.000019421857,0.0010887759],"genre_scores_gemma":[0.9991467,0.00014468671,0.00012354885,0.00001553843,0.00002060829,0.0000030628744,0.0002897157,0.0000038100388,0.00025231502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996501,0.00010119149,0.0000495727,0.00006650606,0.000080947786,0.000051733907],"domain_scores_gemma":[0.9907318,0.0030098152,0.0050134533,0.00041245497,0.0005510212,0.0002815063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018236215,0.00020917827,0.00024591354,0.0011696946,0.00016270134,0.0012962106,0.0003385255,0.0007460965,0.0013524186],"category_scores_gemma":[0.013516474,0.00014268061,0.00022938878,0.0015594874,0.00031262983,0.0009095009,0.00048432295,0.00054107216,0.00031688463],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050718273,0.000106180676,0.9419486,0.000060895803,0.00023016799,0.0004624064,0.00033417574,0.020200673,0.003849229,0.007655427,0.0012704583,0.023374677],"study_design_scores_gemma":[0.000032214335,0.00011677082,0.9527451,0.000025858839,0.00007055421,0.000289498,0.00019919536,0.038118776,0.0012590628,0.004521789,0.002587742,0.0000335629],"about_ca_topic_score_codex":0.0023564918,"about_ca_topic_score_gemma":0.002107271,"teacher_disagreement_score":0.0023564918,"about_ca_system_score_codex":0.00051712285,"about_ca_system_score_gemma":0.00018225866,"threshold_uncertainty_score":0.00964433},"labels":[],"label_agreement":null},{"id":"W1976096822","doi":"10.1506/x652-8m45-1702-7424","title":"Are Securitizations in Substance Sales or Secured Borrowings? Capital‐Market Evidence*","year":2006,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto; Wilfrid Laurier University","funders":"","keywords":"Securitization; Valuation (finance); Debt; Business; Accounting; Balance sheet; Credit rating; Economics; Actuarial science; Financial economics; Finance","score_opus":0.12246550266216227,"score_gpt":0.3083590670561084,"score_spread":0.1858935643939461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976096822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885789,0.0025335022,0.00023217902,0.001049722,0.00001407373,0.000019117613,0.0005007325,0.0000051346806,0.0070667723],"genre_scores_gemma":[0.99807525,0.0009434659,0.000058226917,0.00008888406,0.000051630435,0.0000039625693,0.00035351308,0.0000020221055,0.0004230299],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997787,0.0006112663,0.0003717142,0.000420236,0.0005958543,0.00021398021],"domain_scores_gemma":[0.8358924,0.055353023,0.09551754,0.0057353466,0.0046603633,0.0028413748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049060876,0.00027269512,0.0004794704,0.0023263874,0.000527014,0.002399383,0.00087718904,0.0010429546,0.010549768],"category_scores_gemma":[0.034555316,0.00021642887,0.0003887735,0.0039343718,0.0032292197,0.0025434787,0.0014997427,0.0014562169,0.0007549688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005582899,0.00018082786,0.97500604,0.00023924955,0.00020247223,0.00039768798,0.0014751747,0.00021359646,0.00019567188,0.0043332577,0.0008717042,0.016326003],"study_design_scores_gemma":[0.000023825258,0.00010312276,0.9899418,0.00024474083,0.00012216302,0.00029150437,0.0030607546,0.00058758556,0.00033927543,0.0022883778,0.0029796874,0.000017261205],"about_ca_topic_score_codex":0.00548256,"about_ca_topic_score_gemma":0.006483608,"teacher_disagreement_score":0.010549768,"about_ca_system_score_codex":0.00063041074,"about_ca_system_score_gemma":0.0005675934,"threshold_uncertainty_score":0.035292447},"labels":[],"label_agreement":null},{"id":"W1976304019","doi":"10.1177/0148558x14536185","title":"CEO Optimism and Analyst Forecast Bias","year":2014,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Waterloo","keywords":"Optimism; Earnings; Attribution; Stock (firearms); Consensus forecast; Optimism bias; Stock price; Attribution bias; Economics; Actuarial science; Accounting; Business; Financial economics; Econometrics; Psychology; Social psychology","score_opus":0.032227790215163275,"score_gpt":0.2125766714855125,"score_spread":0.1803488812703492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976304019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859804,0.00007656602,0.00029345497,0.00010908931,0.0000035922292,0.0000024310227,0.0000202543,0.0000022734534,0.0008943898],"genre_scores_gemma":[0.9997874,0.000021537557,0.00009029103,0.000009895883,0.0000060147568,9.0350466e-7,0.000016064823,3.9511002e-7,0.00006757728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914384,0.00033080575,0.00006944257,0.0001032048,0.0002527803,0.00009993075],"domain_scores_gemma":[0.96119165,0.019601583,0.015717957,0.0010883367,0.0014767407,0.00092370436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025555443,0.00016112691,0.00021286625,0.000499691,0.00018408886,0.00086711964,0.00014926316,0.00040070218,0.0008569591],"category_scores_gemma":[0.026156299,0.00011999669,0.00018270027,0.00028683248,0.00026393015,0.00062100886,0.00038031826,0.0005868801,0.00011760994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075503567,0.00012740401,0.9760789,0.000028616396,0.00013730748,0.00012133891,0.0011574327,0.0046107993,0.003570162,0.0011155889,0.00027160117,0.012025741],"study_design_scores_gemma":[0.000024010857,0.00020065409,0.9849834,0.000016372576,0.00004153835,0.00014110215,0.00064066367,0.009687674,0.0012730126,0.0026309201,0.00033481684,0.000025949354],"about_ca_topic_score_codex":0.0020652292,"about_ca_topic_score_gemma":0.0024218769,"teacher_disagreement_score":0.0025555443,"about_ca_system_score_codex":0.0004964505,"about_ca_system_score_gemma":0.0002922227,"threshold_uncertainty_score":0.013515174},"labels":[],"label_agreement":null},{"id":"W1977403284","doi":"10.1111/j.1475-6803.2012.01325.x","title":"TRANSITORY MARKET STATES AND THE JOINT OCCURRENCE OF MOMENTUM AND MEAN REVERSION","year":2012,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mean reversion; Economics; Predictability; Capital asset pricing model; Econometrics; Risk premium; Equity (law); Momentum (technical analysis); Financial economics; Mathematics; Statistics","score_opus":0.07497321844623715,"score_gpt":0.27884461258582266,"score_spread":0.2038713941395855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977403284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802973,0.00014646263,0.017030649,0.00032318832,0.000017200047,0.0000116244255,0.000101416976,0.000065914915,0.0020062916],"genre_scores_gemma":[0.9992955,0.000036168472,0.00037162454,0.0000062921795,0.000008809439,0.0000025966704,0.000027653634,0.0000035532748,0.00024779493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981254,0.000036357796,0.000019823045,0.000048854083,0.000037051243,0.00004547391],"domain_scores_gemma":[0.9922146,0.0027268874,0.0034159655,0.0006023023,0.00061919267,0.00042101162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001443048,0.00018184795,0.0003501916,0.0011406715,0.00036971192,0.0017419014,0.0003171654,0.00055358483,0.0043395297],"category_scores_gemma":[0.010090839,0.00024532012,0.0003491206,0.0005187446,0.0011666601,0.0021820103,0.00064989267,0.0008878574,0.00019920307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000999351,0.00048454586,0.3662156,0.00015954644,0.0003797434,0.0030334673,0.0010567952,0.06906996,0.012470678,0.49335244,0.0026531469,0.050124597],"study_design_scores_gemma":[0.00009937748,0.00028248463,0.25040027,0.00005636685,0.0001244666,0.0008232336,0.0003818931,0.4014984,0.0047444673,0.33977482,0.0017274545,0.00008672827],"about_ca_topic_score_codex":0.0015614488,"about_ca_topic_score_gemma":0.0010827209,"teacher_disagreement_score":0.0043395297,"about_ca_system_score_codex":0.00045061487,"about_ca_system_score_gemma":0.000304011,"threshold_uncertainty_score":0.0145171285},"labels":[],"label_agreement":null},{"id":"W1978004679","doi":"10.1080/14697688.2012.741261","title":"Conservatism bias in the presence of strategic interaction","year":2013,"lang":"en","type":"article","venue":"Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Conservatism; Research council; Image (mathematics); Economics; Sociology; Econometrics; Political science; Computer science; Philosophy; Law; Linguistics; Artificial intelligence","score_opus":0.202829958765212,"score_gpt":0.2995154962452134,"score_spread":0.09668553748000139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978004679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9266656,0.000513467,0.025561506,0.0036113807,0.00016709974,0.00011175491,0.00053351675,0.00025331293,0.042582326],"genre_scores_gemma":[0.9970407,0.000033985867,0.001222704,0.00024466813,0.000039747752,0.000021467431,0.00007223822,0.000023333941,0.0013012227],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957436,0.0016391189,0.0003471077,0.0009539747,0.0008897765,0.00042639006],"domain_scores_gemma":[0.8518922,0.109193794,0.018204438,0.012566025,0.0046919547,0.003451497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009313444,0.0002659852,0.0008037271,0.00097473775,0.0006534337,0.0024060477,0.0008341216,0.00151192,0.018291911],"category_scores_gemma":[0.13502707,0.00030888355,0.000355213,0.0007314145,0.0013526884,0.002329711,0.0017095496,0.0016590292,0.0011212752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009529868,0.0008692625,0.5116112,0.00096480735,0.0011088399,0.0027918215,0.0043554455,0.01987211,0.04471313,0.16416182,0.02503951,0.21498214],"study_design_scores_gemma":[0.00075359474,0.00096219993,0.55112386,0.000186937,0.00052244106,0.0018711457,0.0020364665,0.13121393,0.0076534823,0.2962588,0.007175366,0.000241682],"about_ca_topic_score_codex":0.002478414,"about_ca_topic_score_gemma":0.0017458426,"teacher_disagreement_score":0.018291911,"about_ca_system_score_codex":0.0007409157,"about_ca_system_score_gemma":0.00066487235,"threshold_uncertainty_score":0.061192572},"labels":[],"label_agreement":null},{"id":"W1978221216","doi":"10.1111/j.1468-5957.2009.02135.x","title":"Industry Cost of Equity Capital: UK Evidence","year":2009,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Victoria Park","funders":"","keywords":"Capital asset pricing model; Economics; Cost of equity; Explanatory power; Cost of capital; Equity (law); Econometrics; Financial economics; Microeconomics","score_opus":0.08727761640094302,"score_gpt":0.2853873457536733,"score_spread":0.1981097293527303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978221216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8548134,0.044998266,0.0018197699,0.0062754015,0.00021080056,0.000056053927,0.009302327,0.00004203846,0.08248191],"genre_scores_gemma":[0.9868283,0.0077963085,0.00022662168,0.000393078,0.00010053477,0.000008065845,0.0017651294,0.000008005273,0.002873886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986363,0.0003139914,0.0001598146,0.00020386656,0.0005163072,0.0001697317],"domain_scores_gemma":[0.9805658,0.007372149,0.00703182,0.0009953473,0.0036729889,0.00036187886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009032914,0.00024006744,0.00027616712,0.0017896497,0.00022615063,0.0012739374,0.00042325567,0.0006154364,0.009430034],"category_scores_gemma":[0.012138539,0.00016500801,0.00028626996,0.002786499,0.000460474,0.0009708585,0.0010346806,0.0006386391,0.0010614718],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000989149,0.00020099862,0.7925605,0.0017467611,0.00041100752,0.0018179757,0.0006657846,0.0034171815,0.0003925388,0.016599301,0.030092208,0.15110655],"study_design_scores_gemma":[0.00007060552,0.00021122099,0.939276,0.0011309733,0.00027840416,0.0014626227,0.00082288025,0.0024020511,0.0012351106,0.0017969218,0.05126869,0.000044512133],"about_ca_topic_score_codex":0.07367496,"about_ca_topic_score_gemma":0.047117155,"teacher_disagreement_score":0.07367496,"about_ca_system_score_codex":0.0020012637,"about_ca_system_score_gemma":0.0006702033,"threshold_uncertainty_score":0.1464923},"labels":[],"label_agreement":null},{"id":"W1978404073","doi":"10.1111/j.1755-053x.2012.01197.x","title":"What's in a “China” Name? A Test of Investor Attention Hypothesis","year":2012,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; York University","funders":"","keywords":"China; Boom; Business; Stock (firearms); Financial economics; Market liquidity; Valuation (finance); Monetary economics; Economics; Finance; Geography","score_opus":0.027448983683634617,"score_gpt":0.20109653072866945,"score_spread":0.17364754704503482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978404073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980709,0.00007103807,0.000084834915,0.00024409407,0.000008210732,0.0000052961627,0.000033243443,0.0000019002127,0.0014805698],"genre_scores_gemma":[0.99949646,0.000026060614,0.000026703392,0.00008320887,0.000022038232,0.0000033446424,0.000048724934,9.655582e-7,0.00029253037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934286,0.00018335153,0.000043252414,0.0001472351,0.000116324125,0.00016704365],"domain_scores_gemma":[0.97692925,0.012499523,0.007531828,0.00079823186,0.0006092243,0.0016319555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019191599,0.00024838018,0.00046369934,0.0005581766,0.00046404358,0.0011946548,0.0005933789,0.0009995935,0.0055806926],"category_scores_gemma":[0.011172446,0.00011418617,0.0004892759,0.0006083061,0.0009069726,0.0016665371,0.00075624615,0.0006964755,0.00033944318],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009209545,0.00046444323,0.9834516,0.00003921768,0.00022976013,0.00036734057,0.00087501557,0.0004124976,0.002010265,0.0011816851,0.00057302346,0.009474181],"study_design_scores_gemma":[0.000055239903,0.00032392814,0.99398005,0.0000068745435,0.00012239227,0.000074314565,0.000893292,0.0028524604,0.00049343426,0.00082554575,0.0003625623,0.000009897228],"about_ca_topic_score_codex":0.0071874424,"about_ca_topic_score_gemma":0.003920207,"teacher_disagreement_score":0.0071874424,"about_ca_system_score_codex":0.00052368984,"about_ca_system_score_gemma":0.00042695997,"threshold_uncertainty_score":0.018669307},"labels":[],"label_agreement":null},{"id":"W1978504083","doi":"10.1016/s0927-5398(01)00049-4","title":"Nonparametric tests of conditional mean-variance efficiency of a benchmark portfolio","year":2002,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Nonparametric statistics; Estimator; Conditional variance; Econometrics; Benchmark (surveying); Statistics; Portfolio; Conditional expectation; Parametric statistics; Statistical hypothesis testing; Variance (accounting); Mathematics; Economics; Autoregressive conditional heteroskedasticity","score_opus":0.052166636959247475,"score_gpt":0.2704304878023089,"score_spread":0.2182638508430614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978504083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9212381,0.00024197408,0.074651435,0.00013406976,0.000025867514,0.00003061992,0.00029994064,0.00015908413,0.003218816],"genre_scores_gemma":[0.9942162,0.00003674255,0.0048832647,0.000015978992,0.000018378838,0.000017453418,0.00041828965,0.000021393063,0.00037231384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99221295,0.004732316,0.0005199423,0.00086725707,0.0011984674,0.0004691181],"domain_scores_gemma":[0.842675,0.1321383,0.0087057585,0.011718387,0.0034146104,0.0013478926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017780665,0.00055580086,0.0009082599,0.0021268376,0.00040603275,0.0020656353,0.0015956728,0.0015458004,0.0031503488],"category_scores_gemma":[0.12306583,0.0003333595,0.00081010826,0.0015065832,0.0015700093,0.0027720477,0.0013540882,0.0010209652,0.00029655307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0057859607,0.0013596542,0.2816841,0.0002607038,0.0019870396,0.00049191614,0.00038993923,0.3667001,0.010211355,0.18088813,0.0026788746,0.1475623],"study_design_scores_gemma":[0.0002599144,0.0012377044,0.14524068,0.0000536314,0.0001954424,0.00044755818,0.00019711826,0.7514532,0.0074178986,0.09247702,0.0009305611,0.00008933654],"about_ca_topic_score_codex":0.00059017836,"about_ca_topic_score_gemma":0.0003845519,"teacher_disagreement_score":0.017780665,"about_ca_system_score_codex":0.00081415445,"about_ca_system_score_gemma":0.00085098273,"threshold_uncertainty_score":0.094034255},"labels":[],"label_agreement":null},{"id":"W1978541958","doi":"10.5539/ijef.v3n3p26","title":"The Value and Size Effect — Are There Firm-Specific-Risks in China’s Domestic Stock Markets?","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Explanatory power; Capital asset pricing model; Equity (law); Stock (firearms); Economics; Financial economics; China; Stock exchange; Financial crisis; Financial market; Exchange rate; Value (mathematics); Emerging markets; Econometrics; Monetary economics; Finance","score_opus":0.03073696557092148,"score_gpt":0.2318610750600299,"score_spread":0.20112410948910842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978541958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920018,0.0011627709,0.0007064257,0.0020338716,0.000035699934,0.000016025444,0.00012304261,0.000019831217,0.0039005205],"genre_scores_gemma":[0.99886996,0.0002036412,0.00006236215,0.00011077831,0.00005422863,0.0000031803615,0.00006855742,0.000004557057,0.0006227087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993075,0.00019383203,0.000051272727,0.00017731627,0.00012099186,0.00014906286],"domain_scores_gemma":[0.98547006,0.007948415,0.0035040632,0.0013165174,0.00065262645,0.0011083217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033121472,0.0003923781,0.00061078795,0.0009325471,0.00045011108,0.0011854034,0.00094984635,0.0010005316,0.006974418],"category_scores_gemma":[0.010252448,0.0002622156,0.0013481689,0.00083037536,0.0020063184,0.003010113,0.000940934,0.0010055087,0.00041373988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047885228,0.00016441551,0.9506625,0.000092250724,0.00064146577,0.0007027951,0.00079774205,0.0019912242,0.0012282748,0.0148634035,0.0011750229,0.02720213],"study_design_scores_gemma":[0.000046673555,0.000107629385,0.9839288,0.000025736286,0.0003470868,0.00008684721,0.00044800097,0.004381235,0.0004942161,0.009100222,0.0010093249,0.000024293326],"about_ca_topic_score_codex":0.017259795,"about_ca_topic_score_gemma":0.015775904,"teacher_disagreement_score":0.017259795,"about_ca_system_score_codex":0.0008444758,"about_ca_system_score_gemma":0.00091040257,"threshold_uncertainty_score":0.034318686},"labels":[],"label_agreement":null},{"id":"W1979142685","doi":"10.2139/ssrn.1330183","title":"On the Estimation of Asset Pricing Models Using Univariate Betas","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Univariate; Capital asset pricing model; Econometrics; Estimation; Economics; Consumption-based capital asset pricing model; Asset (computer security); Financial economics; Statistics; Actuarial science; Mathematics; Computer science; Multivariate statistics","score_opus":0.032119086097963004,"score_gpt":0.22793223402853982,"score_spread":0.1958131479305768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979142685","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023318125,0.00096553675,0.97398937,0.00035227626,0.00004752388,0.00001945292,0.00008145143,0.00039939454,0.00082687207],"genre_scores_gemma":[0.5937228,0.0057487744,0.3940632,0.00024239795,0.0007174361,0.00027317053,0.0008289492,0.0003983225,0.00400478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969037,0.0024206743,0.00012569585,0.00016271156,0.00027758555,0.00010949678],"domain_scores_gemma":[0.95984405,0.037571326,0.00068809,0.0010264291,0.00065629964,0.00021369057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008244043,0.0013982101,0.002404615,0.0015171351,0.0005179514,0.0021189789,0.0016448237,0.001647401,0.0023099731],"category_scores_gemma":[0.04147517,0.0016350813,0.0015725753,0.0016984288,0.0010356185,0.0027173492,0.0020786407,0.002681543,0.000719891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014634203,0.00009740025,0.002567282,0.00011135058,0.00017447297,0.00009701108,0.00009262496,0.87631696,0.0006922159,0.022595821,0.0010301757,0.09607838],"study_design_scores_gemma":[0.000010764124,0.000012935231,0.00024025065,0.000009600637,0.000010688366,0.000011744686,0.0000054694638,0.9891977,0.000117210824,0.01020853,0.00016634662,0.000008753884],"about_ca_topic_score_codex":0.010681909,"about_ca_topic_score_gemma":0.006163533,"teacher_disagreement_score":0.010681909,"about_ca_system_score_codex":0.00057452,"about_ca_system_score_gemma":0.0012538437,"threshold_uncertainty_score":0.04359919},"labels":[],"label_agreement":null},{"id":"W1979236203","doi":"10.1111/fire.12055","title":"A New Method to Measure the Performance of Leveraged Exchange‐Traded Funds","year":2014,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Leverage (statistics); Compounding; Business; Measure (data warehouse); Tracking error; Tracking (education); Econometrics; Finance; Economics; Computer science; Statistics; Mathematics; Data mining","score_opus":0.06046788086732553,"score_gpt":0.2622628485908017,"score_spread":0.20179496772347616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979236203","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6188912,0.0039574704,0.36212224,0.0003858961,0.00025284596,0.00040660062,0.0036230623,0.00085901085,0.009501757],"genre_scores_gemma":[0.9404406,0.0006145931,0.054878302,0.000057354842,0.00016224314,0.00024138566,0.0013575839,0.000049716924,0.0021981895],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99739873,0.00072014186,0.00024643604,0.0003648708,0.0011781331,0.00009156161],"domain_scores_gemma":[0.988787,0.0044984543,0.0033974124,0.0010908791,0.0019871376,0.00023906186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042917784,0.00059241906,0.00074868015,0.0046575763,0.00018195341,0.0012971763,0.00061903516,0.000832891,0.0013879746],"category_scores_gemma":[0.018578393,0.00021427231,0.0003932422,0.0034328308,0.00031644988,0.0015427382,0.0007340721,0.0006961577,0.00039758757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001189009,0.00043217913,0.51028574,0.00037021804,0.0012048279,0.0003378227,0.00030103422,0.06597448,0.02197958,0.011787305,0.003822931,0.38231486],"study_design_scores_gemma":[0.00020610394,0.0010401827,0.46365952,0.000102414895,0.00038614357,0.0008933702,0.00014267351,0.47955608,0.032721575,0.008723829,0.012297764,0.00027043608],"about_ca_topic_score_codex":0.002103514,"about_ca_topic_score_gemma":0.0013014049,"teacher_disagreement_score":0.0046575763,"about_ca_system_score_codex":0.0007000867,"about_ca_system_score_gemma":0.00050496415,"threshold_uncertainty_score":0.02269733},"labels":[],"label_agreement":null},{"id":"W1979731272","doi":"10.1007/s10693-011-0125-8","title":"Canadian Investors and the Discount on Closed-End Funds","year":2012,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; Brock University","funders":"Brock University","keywords":"Proxy (statistics); Explanatory power; Capital asset pricing model; Business; Stock (firearms); Stochastic discount factor; Predictive power; Econometrics; Financial economics; Consumer confidence index; Economics; Marketing; Statistics","score_opus":0.050537123936724625,"score_gpt":0.28539350244228273,"score_spread":0.2348563785055581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979731272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.568235,0.014543615,0.0022405186,0.073430486,0.00075608015,0.00009678315,0.0031721508,0.00010024907,0.3374251],"genre_scores_gemma":[0.98407966,0.0016545512,0.00014433489,0.0008667228,0.00018085429,0.0000049534156,0.00016550017,0.000018476205,0.0128849335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9978309,0.0001907779,0.00006200602,0.00016535852,0.00082509324,0.0009259016],"domain_scores_gemma":[0.98644376,0.004589207,0.002162907,0.00039886817,0.0042559537,0.0021493114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032980416,0.00028453613,0.0007295979,0.0013432693,0.003569978,0.008015136,0.0013493258,0.002967866,0.011976526],"category_scores_gemma":[0.035921667,0.00029013236,0.00044613823,0.0017315372,0.0023562138,0.0027586375,0.0011535244,0.004293945,0.0003362114],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013267768,0.00010227921,0.08218477,0.0001673751,0.00010677755,0.00089172856,0.0038861856,0.005476738,0.00048032924,0.76678747,0.08540881,0.053180777],"study_design_scores_gemma":[0.000587748,0.00017750356,0.3025919,0.0007994501,0.0007478038,0.0009466889,0.014327427,0.017700572,0.0016168683,0.35744593,0.30247036,0.00058784446],"about_ca_topic_score_codex":0.9446373,"about_ca_topic_score_gemma":0.9684245,"teacher_disagreement_score":0.0621144,"about_ca_system_score_codex":0.0621144,"about_ca_system_score_gemma":0.031758364,"threshold_uncertainty_score":0.45067364},"labels":[],"label_agreement":null},{"id":"W1979891294","doi":"10.2139/ssrn.1722202","title":"Modeling Asset Prices for Algorithmic and High Frequency Trading","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"High-frequency trading; Market liquidity; Algorithmic trading; Pairs trade; Tick size; Market microstructure; Volume-weighted average price; Dark liquidity; Econometrics; Financial economics; Alternative trading system; Trading strategy; Market maker; Economics; Profit (economics); Volatility (finance); Incentive; Stock market; Monetary economics; Finance; Microeconomics; Geography; Order (exchange)","score_opus":0.016603004619747716,"score_gpt":0.21482131462220955,"score_spread":0.19821831000246182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979891294","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48646665,0.00052083744,0.50167644,0.0009500639,0.00010413024,0.00004678372,0.00014599551,0.00019722548,0.0098918015],"genre_scores_gemma":[0.9697529,0.00015220777,0.026468026,0.00005821577,0.000059772992,0.00003665088,0.00007126483,0.000033507047,0.00336747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997042,0.00013848998,0.000015321923,0.000050230843,0.0000500797,0.000041698113],"domain_scores_gemma":[0.99635077,0.0029364326,0.000270894,0.00017522238,0.00014765859,0.00011899751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011557929,0.00048008462,0.000719593,0.0005152814,0.00039508656,0.0018887537,0.0012079858,0.00211333,0.0035895822],"category_scores_gemma":[0.008280744,0.00052644947,0.0007575174,0.00049075775,0.0009557265,0.0028402102,0.0008422161,0.001555373,0.00024329478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003557139,0.000047028847,0.0014003561,0.000018701416,0.000023276574,0.00006468471,0.00004150281,0.9234344,0.00041249132,0.06985174,0.000323547,0.004346707],"study_design_scores_gemma":[0.0000040669356,0.0000032328842,0.00007329884,9.015094e-7,0.0000018661351,0.0000068855884,0.0000029791875,0.9881648,0.000027293792,0.01166946,0.000043592983,0.0000016038454],"about_ca_topic_score_codex":0.003850437,"about_ca_topic_score_gemma":0.003501002,"teacher_disagreement_score":0.003850437,"about_ca_system_score_codex":0.0006514752,"about_ca_system_score_gemma":0.0006473686,"threshold_uncertainty_score":0.012008309},"labels":[],"label_agreement":null},{"id":"W1980651215","doi":"10.1506/mtem-t25t-bcjx-57nc","title":"Are Fundamentals Priced in the Bond Market?*","year":2003,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bond; Bond market; Financial economics; Economics; Bond valuation; Earnings; Value (mathematics); Stock market; Context (archaeology); Market value; Relevance (law); Stock (firearms); Actuarial science; Business; Monetary economics; Finance; Political science; Engineering; Computer science","score_opus":0.14450233182815314,"score_gpt":0.3131898309476114,"score_spread":0.16868749911945824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980651215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622369,0.0027989764,0.004500782,0.004454602,0.00010999835,0.000018272123,0.00023484985,0.000034414472,0.025611183],"genre_scores_gemma":[0.9983796,0.0005770888,0.00024022847,0.00005873436,0.00010414107,0.000003150443,0.000048936527,0.0000029903329,0.0005850599],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99959284,0.00012950279,0.00002951785,0.0000703373,0.00012363939,0.00005403569],"domain_scores_gemma":[0.9941755,0.0021083213,0.0024992493,0.00020663167,0.0006096239,0.00040074933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014810002,0.00019175411,0.00045024347,0.0008247253,0.00034768257,0.003200569,0.00032133362,0.00088423054,0.004556062],"category_scores_gemma":[0.01625689,0.00018144093,0.00014386013,0.0008167922,0.0011886214,0.0035792463,0.00044022736,0.0011017077,0.0004431217],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010791845,0.00038844065,0.2902236,0.0003742665,0.00021757526,0.0019627467,0.0013332079,0.010718689,0.0076819216,0.5353965,0.013823666,0.13680018],"study_design_scores_gemma":[0.00016531652,0.00034599425,0.45314243,0.0001752067,0.00008038851,0.000901828,0.001491246,0.041950878,0.0017486359,0.48971543,0.01018748,0.00009514071],"about_ca_topic_score_codex":0.0012617152,"about_ca_topic_score_gemma":0.00066023413,"teacher_disagreement_score":0.004556062,"about_ca_system_score_codex":0.00060349365,"about_ca_system_score_gemma":0.00024667697,"threshold_uncertainty_score":0.015241563},"labels":[],"label_agreement":null},{"id":"W1980853789","doi":"10.2139/ssrn.1873438","title":"Do Markets Anticipate Capital Structure Decisions? Feedback Effects in Equity Liquidity","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Market liquidity; Equity (law); Equity capital markets; Capital structure; Business; Monetary economics; Financial economics; Economics; Capital market; Financial system; Finance; Private equity; Debt","score_opus":0.03843085449298608,"score_gpt":0.24675737147386437,"score_spread":0.20832651698087828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980853789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98993623,0.00018037541,0.0031771637,0.0013189873,0.000038092927,0.00001643527,0.00024806612,0.00006965462,0.005014963],"genre_scores_gemma":[0.9990102,0.000070294365,0.00026757774,0.0001001878,0.000020909178,0.000004213195,0.00005075615,0.000011916235,0.00046386913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996092,0.00012141103,0.000024193721,0.000078486846,0.000071557064,0.00009526845],"domain_scores_gemma":[0.9774828,0.015877696,0.004000982,0.0007574543,0.0007977806,0.0010832626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020429932,0.0003786646,0.00057400606,0.00046892554,0.0002358775,0.002661224,0.00051871093,0.0019102504,0.00683794],"category_scores_gemma":[0.032635003,0.0007402255,0.0003939301,0.00036704485,0.0005634777,0.0035078847,0.0008649465,0.001397432,0.00060380803],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007816523,0.0029865603,0.48631787,0.00074254535,0.00084851164,0.0021193218,0.0025540777,0.2099946,0.08424892,0.07617413,0.0106435865,0.11555341],"study_design_scores_gemma":[0.0007582799,0.00092208973,0.6352247,0.00007484674,0.0002540988,0.00019838098,0.00066100265,0.24075368,0.007483969,0.11216679,0.0013493457,0.00015282561],"about_ca_topic_score_codex":0.0024710346,"about_ca_topic_score_gemma":0.0019407996,"teacher_disagreement_score":0.00683794,"about_ca_system_score_codex":0.00056536566,"about_ca_system_score_gemma":0.00044390152,"threshold_uncertainty_score":0.02287519},"labels":[],"label_agreement":null},{"id":"W1981270298","doi":"10.1016/j.jempfin.2006.09.002","title":"International conditional asset allocation under specification uncertainty","year":2006,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Predictability; Econometrics; Conditional variance; Asset allocation; Economics; Variance (accounting); Asset (computer security); Conditional expectation; Financial economics; Computer science; Accounting; Mathematics; Autoregressive conditional heteroskedasticity; Statistics; Volatility (finance); Portfolio","score_opus":0.058043059024855424,"score_gpt":0.2858208207068835,"score_spread":0.2277777616820281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981270298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6461611,0.0011567982,0.3242081,0.00268403,0.00008876126,0.000060837512,0.0008517684,0.0004527433,0.024335837],"genre_scores_gemma":[0.9908099,0.00034867224,0.005241286,0.00008113512,0.00004568349,0.000022375552,0.00042344735,0.000054539534,0.0029728701],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985129,0.00063294795,0.00007944258,0.0002998235,0.00020092774,0.0002739195],"domain_scores_gemma":[0.98359674,0.011448352,0.0019692937,0.0015038403,0.0010446169,0.00043719215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006007273,0.0006488072,0.001315654,0.0010110321,0.00044009456,0.0029137875,0.0009839471,0.0012714753,0.006573043],"category_scores_gemma":[0.026434312,0.00064825156,0.00089198217,0.0014813027,0.0019249868,0.0048979255,0.0017926381,0.0017538738,0.00045306562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004032183,0.00009656717,0.015466029,0.00007960606,0.00026673975,0.00037330168,0.00032362074,0.32763675,0.00074472174,0.61199766,0.0043798266,0.038231943],"study_design_scores_gemma":[0.000036682035,0.00005678988,0.009420494,0.00003041796,0.00010548264,0.0001328801,0.00013369437,0.46538842,0.00061742106,0.5225048,0.001533435,0.000039426734],"about_ca_topic_score_codex":0.003960588,"about_ca_topic_score_gemma":0.0023883758,"teacher_disagreement_score":0.006573043,"about_ca_system_score_codex":0.0014845189,"about_ca_system_score_gemma":0.0010008119,"threshold_uncertainty_score":0.03176987},"labels":[],"label_agreement":null},{"id":"W1981963316","doi":"10.2139/ssrn.1268843","title":"The Pricing of Accruals Quality: January vs. The Rest of the Year","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Accrual; Rest (music); Business; Quality (philosophy); Economics; Environmental science; Accounting; Internal medicine; Medicine; Physics","score_opus":0.02918061888718551,"score_gpt":0.22909378430657112,"score_spread":0.1999131654193856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981963316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9564618,0.0052471864,0.007072071,0.006605101,0.0007213134,0.000036592868,0.0015308174,0.00022885099,0.022096343],"genre_scores_gemma":[0.9966156,0.00048298697,0.00032812977,0.0001365901,0.00036027457,0.000004039596,0.00041725297,0.00005353283,0.0016015677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99751866,0.0005903505,0.00021477978,0.00026306938,0.0009820674,0.00043103792],"domain_scores_gemma":[0.94883657,0.022554563,0.016955392,0.0024028947,0.005105065,0.004145464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072304187,0.00033627552,0.0011590525,0.0027030252,0.0006694229,0.01115497,0.0012906078,0.002015392,0.0051581133],"category_scores_gemma":[0.06464633,0.0004382097,0.00087116647,0.004372542,0.0017589614,0.0057161534,0.0012139464,0.0038189322,0.0010277996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041179396,0.00042795978,0.7796687,0.0002420319,0.0005963824,0.0006559575,0.0015172476,0.017497707,0.0017106087,0.08327405,0.02280851,0.087483026],"study_design_scores_gemma":[0.00009066432,0.0004916479,0.91518104,0.0001061516,0.00030154735,0.0005928611,0.0015754189,0.041423816,0.0010146004,0.033245657,0.0058543733,0.00012221598],"about_ca_topic_score_codex":0.00841987,"about_ca_topic_score_gemma":0.008497371,"teacher_disagreement_score":0.01115497,"about_ca_system_score_codex":0.0019444117,"about_ca_system_score_gemma":0.0008801642,"threshold_uncertainty_score":0.038238525},"labels":[],"label_agreement":null},{"id":"W1982108028","doi":"10.17016/ifdp.2015.1128","title":"A Model of Anomaly Discovery","year":2015,"lang":"en","type":"article","venue":"International Finance Discussion Paper","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Anomaly (physics); Decile; Anomaly detection; Econometrics; Volatility (finance); Correlation; Computer science; Data mining; Mathematics; Statistics; Physics","score_opus":0.05455956448346822,"score_gpt":0.24416999603029502,"score_spread":0.1896104315468268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982108028","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2756375,0.0022342142,0.63221085,0.029143503,0.00043974989,0.00041495907,0.0027681661,0.002407608,0.05474344],"genre_scores_gemma":[0.94461316,0.0010270603,0.02894058,0.0010841057,0.00047796778,0.00035344885,0.0007591355,0.00017342324,0.022571066],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9941795,0.0016683837,0.00025612666,0.0015485574,0.0011770909,0.0011703252],"domain_scores_gemma":[0.9425315,0.03795256,0.009041866,0.00423299,0.003917475,0.0023235544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007867791,0.00121664,0.002419881,0.004426295,0.001927173,0.0055445903,0.005672659,0.0068474407,0.016544532],"category_scores_gemma":[0.053909127,0.0010155811,0.0024929282,0.004460064,0.0044466294,0.0112802535,0.004402716,0.0050740396,0.0025309369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037272097,0.00027968752,0.017263625,0.00017331283,0.00022412227,0.0013223472,0.0008548021,0.14751172,0.0015732012,0.7905414,0.010933899,0.02894915],"study_design_scores_gemma":[0.00014109012,0.00010871544,0.0015482497,0.000030812516,0.000054198466,0.00069435,0.00010711227,0.5602002,0.0002622791,0.43294406,0.0038374807,0.000071415125],"about_ca_topic_score_codex":0.0068347766,"about_ca_topic_score_gemma":0.0029505794,"teacher_disagreement_score":0.016544532,"about_ca_system_score_codex":0.0033798877,"about_ca_system_score_gemma":0.002720459,"threshold_uncertainty_score":0.055346966},"labels":[],"label_agreement":null},{"id":"W1982136989","doi":"10.3390/jrfm2010075","title":"The Nexus between Analyst Forecast Dispersion and Expected Returns Surrounding Stock Market Crashes","year":2009,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Stock (firearms); Stock market; Business; Financial economics; Economics; Geography; Computer science","score_opus":0.01810793782886832,"score_gpt":0.21133182754924065,"score_spread":0.19322388972037233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982136989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949242,0.000651577,0.002259919,0.0005537636,0.000017460918,0.0000064060528,0.00020596576,0.000020081072,0.0013606711],"genre_scores_gemma":[0.9990325,0.0002153919,0.00026436767,0.000015552427,0.000036285284,0.0000023696293,0.00018450154,0.0000029796993,0.00024606337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987783,0.00031325387,0.00017197928,0.0002828081,0.00029536991,0.00015834502],"domain_scores_gemma":[0.93394965,0.039988223,0.02157794,0.0015155651,0.0019147788,0.0010539001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002934275,0.0003049152,0.0005902908,0.002171186,0.00032915676,0.0019456272,0.00047341458,0.0010759558,0.0021782243],"category_scores_gemma":[0.031788725,0.00027829112,0.0004492255,0.0014658852,0.00062448607,0.0019910936,0.0012055162,0.0013449686,0.0004134154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015213888,0.00007308571,0.9763307,0.000030077153,0.0001485249,0.00021487313,0.00035305775,0.00898529,0.00032330342,0.0013942834,0.00031440624,0.011680362],"study_design_scores_gemma":[0.0000095796695,0.00017451435,0.9621262,0.000030136942,0.000103165046,0.00027005913,0.0006721089,0.03173728,0.0005722269,0.0035786936,0.0006860804,0.00003997541],"about_ca_topic_score_codex":0.007026196,"about_ca_topic_score_gemma":0.0070444867,"teacher_disagreement_score":0.007026196,"about_ca_system_score_codex":0.0006524573,"about_ca_system_score_gemma":0.0005066147,"threshold_uncertainty_score":0.015518129},"labels":[],"label_agreement":null},{"id":"W1982210464","doi":"10.1057/palgrave.dutr.1850053","title":"The diversification benefits of hedge funds and funds of hedge funds","year":2007,"lang":"en","type":"article","venue":"Derivatives Use Trading &#38 Regulation","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Fund of funds; Diversification (marketing strategy); Portfolio; Hedge fund; Business; Efficient frontier; Financial economics; Asset allocation; Finance; Alternative beta; Institutional investor; Global assets under management; Economics; Market liquidity","score_opus":0.06899086281078286,"score_gpt":0.2310200474676626,"score_spread":0.16202918465687977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982210464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823241,0.0031086088,0.0024946167,0.0013282485,0.00002320168,0.000007196708,0.00009201663,0.000019739744,0.01060217],"genre_scores_gemma":[0.99880064,0.00028548553,0.0001885951,0.00004461309,0.000026699361,0.0000015050688,0.000023756917,0.000002140542,0.00062663114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99950826,0.000182193,0.000027782507,0.00006295185,0.00010441284,0.00011444137],"domain_scores_gemma":[0.9931792,0.003844337,0.001499549,0.00040272577,0.00035568463,0.00071847806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017947988,0.00030483352,0.000513516,0.00065812137,0.0004750123,0.0026147496,0.00035990763,0.0018530213,0.003026665],"category_scores_gemma":[0.013929272,0.00023341189,0.00045004848,0.00048846647,0.00125303,0.0036127176,0.0015191698,0.000822832,0.00021738249],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0068057324,0.00028535043,0.23896292,0.00034337636,0.0007628723,0.001591006,0.0020207562,0.05393071,0.012693246,0.53780204,0.005263829,0.13953814],"study_design_scores_gemma":[0.0005298801,0.000806536,0.17780535,0.00017948216,0.0005552031,0.0016668543,0.0026717004,0.052758947,0.004512472,0.74837726,0.0100432485,0.00009301375],"about_ca_topic_score_codex":0.0009293406,"about_ca_topic_score_gemma":0.0009480322,"teacher_disagreement_score":0.003026665,"about_ca_system_score_codex":0.0006303461,"about_ca_system_score_gemma":0.00038940166,"threshold_uncertainty_score":0.01012522},"labels":[],"label_agreement":null},{"id":"W1982307869","doi":"10.1016/j.jbankfin.2004.05.031","title":"Executive stock options and incentive effects due to systematic risk","year":2004,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Hong Kong University of Science and Technology; University of Hong Kong","keywords":"Incentive; Systematic risk; Executive compensation; Stock options; Non-qualified stock option; Business; Stock (firearms); Actuarial science; Restricted stock; Systematic review; Economics; Finance; Microeconomics; Stock market","score_opus":0.013380480935184838,"score_gpt":0.21230423715560745,"score_spread":0.1989237562204226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982307869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98805594,0.00052065216,0.0030667079,0.0012405613,0.00005009721,0.000020526391,0.000093527255,0.0000400689,0.0069120177],"genre_scores_gemma":[0.9977767,0.0001819603,0.00023223746,0.000071101575,0.00006623212,0.0000057570114,0.00003006243,0.0000049426285,0.0016309394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995838,0.00013254573,0.00003269923,0.000050918217,0.000073409625,0.00012671083],"domain_scores_gemma":[0.9676116,0.02361289,0.0045881816,0.0014705448,0.00092190626,0.001794908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035149457,0.0005545632,0.0008943378,0.00069559464,0.00035914162,0.0017189655,0.0005946848,0.0022466348,0.0106876455],"category_scores_gemma":[0.028957706,0.00056898734,0.00058304146,0.0005027245,0.0011426012,0.0031330558,0.0010863821,0.0022089372,0.0003581325],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007858535,0.0043325555,0.28890556,0.000537289,0.00065030635,0.006644179,0.0018501899,0.10166168,0.017973756,0.4727876,0.0067154146,0.090082824],"study_design_scores_gemma":[0.00148762,0.001802346,0.338794,0.00012969367,0.0007128443,0.0017232172,0.0007747322,0.16010287,0.0029596677,0.48918802,0.002155643,0.00016936004],"about_ca_topic_score_codex":0.00074028614,"about_ca_topic_score_gemma":0.0008928376,"teacher_disagreement_score":0.0106876455,"about_ca_system_score_codex":0.00045668363,"about_ca_system_score_gemma":0.00044186704,"threshold_uncertainty_score":0.035753727},"labels":[],"label_agreement":null},{"id":"W1982780405","doi":"10.1016/j.jmoneco.2003.08.001","title":"Time-varying risk aversion and unexpected inflation","year":2003,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Capital asset pricing model; Risk aversion (psychology); Stock (firearms); Inflation (cosmology); Econometrics; Equity premium puzzle; Consumption (sociology); Real interest rate; Monetary economics; Proxy (statistics); Financial economics; Interest rate; Expected utility hypothesis","score_opus":0.014675053348789786,"score_gpt":0.175406867157002,"score_spread":0.1607318138082122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982780405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98958826,0.00049820374,0.007027745,0.00088091823,0.000036181314,0.0000043464124,0.00005937327,0.000021304451,0.001883568],"genre_scores_gemma":[0.99884063,0.00016957356,0.00022825906,0.000034582,0.000033709082,0.0000014949193,0.00002913655,0.0000046620607,0.0006580328],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998136,0.00007374096,0.000019189294,0.000025552454,0.000023729222,0.000044178436],"domain_scores_gemma":[0.986439,0.009813251,0.0026566559,0.00043280152,0.00024728218,0.00041101716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017159358,0.0002422564,0.00034208744,0.00036876695,0.00015758646,0.0012378196,0.00031645683,0.00086185563,0.002813212],"category_scores_gemma":[0.01607245,0.0002833612,0.00036350117,0.00033853296,0.00052386057,0.0010660057,0.0005038893,0.0015873951,0.00020454923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035255188,0.0011101412,0.6805124,0.00021117699,0.0006027427,0.005646403,0.0018614181,0.077772036,0.00852097,0.16495575,0.0031969915,0.052084383],"study_design_scores_gemma":[0.00021549886,0.00068033516,0.43139398,0.000050165658,0.000449039,0.004073788,0.0014796717,0.22700952,0.0021605857,0.33021164,0.0021424855,0.00013328607],"about_ca_topic_score_codex":0.0007137011,"about_ca_topic_score_gemma":0.00062094023,"teacher_disagreement_score":0.002813212,"about_ca_system_score_codex":0.00024374241,"about_ca_system_score_gemma":0.00017330602,"threshold_uncertainty_score":0.009411156},"labels":[],"label_agreement":null},{"id":"W1983250831","doi":"10.1007/s00780-006-0018-0","title":"Asymptotic behaviour of mean-quantile efficient portfolios","year":2006,"lang":"en","type":"article","venue":"Finance and Stochastics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mathematical finance; Quantile; Expected shortfall; Portfolio; Portfolio optimization; Sharpe ratio; Value at risk; Bond; Economics; Econometrics; Mathematics; Investment strategy; Actuarial science; Risk management; Financial economics; Finance","score_opus":0.01464238402550753,"score_gpt":0.19955516396994696,"score_spread":0.18491277994443944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983250831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48780048,0.002975894,0.48305973,0.0026356787,0.00009267663,0.000079392405,0.0002918872,0.0006603376,0.022403982],"genre_scores_gemma":[0.97380346,0.0011959067,0.017617341,0.000146445,0.00014000398,0.000081906794,0.00031732916,0.00017590787,0.00652174],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986274,0.00070684234,0.000060709288,0.00015694827,0.00027341244,0.00017463403],"domain_scores_gemma":[0.964164,0.028475784,0.0026230281,0.0017106936,0.0021202122,0.0009062661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008195685,0.0007609265,0.0013508383,0.0018787063,0.00048318974,0.002903801,0.0019088048,0.0019263679,0.0064087254],"category_scores_gemma":[0.073619545,0.0011123318,0.00074983254,0.0013679744,0.00221437,0.0049768547,0.0017964493,0.0019239748,0.0007295433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019359037,0.00011426876,0.00788173,0.00022609407,0.00015319212,0.00037212676,0.00041218204,0.27721766,0.0030786584,0.6846167,0.0033510898,0.022382729],"study_design_scores_gemma":[0.000042668147,0.000048874692,0.0044617117,0.00006600421,0.00003853467,0.0002510474,0.000084634376,0.70408773,0.00063678756,0.28962862,0.00061389274,0.000039521732],"about_ca_topic_score_codex":0.0016988872,"about_ca_topic_score_gemma":0.0011678876,"teacher_disagreement_score":0.008195685,"about_ca_system_score_codex":0.0014807887,"about_ca_system_score_gemma":0.0011009381,"threshold_uncertainty_score":0.043343425},"labels":[],"label_agreement":null},{"id":"W1983403277","doi":"10.1016/j.irfa.2005.09.003","title":"Index inclusion and commonality in liquidity: Evidence from the Stock Exchange of Hong Kong","year":2006,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Equity (law); Index (typography); Stock exchange; Business; Empirical evidence; Stock (firearms); Financial economics; Stock market index; Economics; Monetary economics; Stock market; Finance; Geography","score_opus":0.03763483257270595,"score_gpt":0.2669858931523801,"score_spread":0.22935106057967414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983403277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99779284,0.0005546706,0.00003249101,0.000111905196,0.0000054772613,0.000006541272,0.000452368,0.000002818447,0.0010409357],"genre_scores_gemma":[0.99884903,0.0003164418,0.000021665392,0.000021140175,0.000013620594,0.0000038372586,0.0004309109,0.0000016581114,0.00034177865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990133,0.00016304638,0.00021317138,0.00014918976,0.00023046022,0.00023083064],"domain_scores_gemma":[0.97690433,0.0051609473,0.0121393595,0.001534877,0.002440299,0.0018201737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017095642,0.00024977585,0.0007201854,0.0026587788,0.00095978664,0.0026615555,0.0007197768,0.0005538342,0.0023103456],"category_scores_gemma":[0.010937457,0.00026414113,0.0004169716,0.0054038777,0.0012429595,0.0016658256,0.0020025508,0.0005755602,0.0003803917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042171072,0.00004348494,0.99169743,0.000055941997,0.00022759764,0.00020663916,0.0011589428,0.00012994977,0.0001811375,0.00029497765,0.00043430628,0.005147837],"study_design_scores_gemma":[0.000014065519,0.000029622906,0.99822515,0.000013826577,0.00008522358,0.00005857437,0.0008203899,0.00016039242,0.00007752631,0.00015262599,0.00035466676,0.000007988994],"about_ca_topic_score_codex":0.102776065,"about_ca_topic_score_gemma":0.09490587,"teacher_disagreement_score":0.102776065,"about_ca_system_score_codex":0.001311483,"about_ca_system_score_gemma":0.0013105171,"threshold_uncertainty_score":0.20435566},"labels":[],"label_agreement":null},{"id":"W1983814398","doi":"10.6000/1929-7092.2015.04.02","title":"Turnover Premium, Foreign Institutional Ownership, and Time-Varying Risk Premium in Taiwan Equity Markets","year":2015,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Equity premium puzzle; Risk premium; Business; Foreign ownership; Monetary economics; Institutional investor; Economics; Finance; Corporate governance; Foreign direct investment","score_opus":0.06158749889997223,"score_gpt":0.26546094472389703,"score_spread":0.2038734458239248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983814398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99818784,0.0005995246,0.00023094057,0.00018649365,0.0000043006157,0.0000026556038,0.00004507387,0.0000058384207,0.0007373354],"genre_scores_gemma":[0.99959844,0.00011994858,0.000028992505,0.000011462149,0.000010430157,9.470325e-7,0.000040793402,0.0000010814863,0.00018781688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985576,0.000031255142,0.000012450567,0.00003266614,0.000026197764,0.000041722098],"domain_scores_gemma":[0.99653625,0.0010819732,0.0015799357,0.00014910751,0.00016919024,0.00048346925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008851451,0.00014557356,0.00021822542,0.0010883404,0.00017844647,0.0012769927,0.00026798568,0.000566483,0.0023005807],"category_scores_gemma":[0.004372104,0.00012879226,0.00033305073,0.0007194662,0.00042780556,0.0010588256,0.00043574668,0.0006110147,0.00015234895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022098777,0.00013443462,0.9784388,0.0000379957,0.00010002422,0.0011212468,0.00043568102,0.0020471562,0.0016918516,0.0041356664,0.0004498912,0.011186323],"study_design_scores_gemma":[0.000010026968,0.000060226794,0.98750055,0.000015633825,0.000042392465,0.0002167748,0.00031764648,0.008467959,0.00022312399,0.0028711848,0.00026293166,0.000011506198],"about_ca_topic_score_codex":0.0071126074,"about_ca_topic_score_gemma":0.0044160024,"teacher_disagreement_score":0.0071126074,"about_ca_system_score_codex":0.0003613762,"about_ca_system_score_gemma":0.00022959338,"threshold_uncertainty_score":0.014142454},"labels":[],"label_agreement":null},{"id":"W1984430235","doi":"10.1016/j.ins.2014.03.096","title":"The effect of news and public mood on stock movements","year":2014,"lang":"en","type":"article","venue":"Information Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":257,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Stock (firearms); Mood; Business; Information sharing; Affect (linguistics); Stock market; Computer science; Psychology; World Wide Web","score_opus":0.025132334567825584,"score_gpt":0.22688058105052084,"score_spread":0.20174824648269524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984430235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967237,0.00024455466,0.00009277628,0.0005311569,0.00003893414,0.0000031486813,0.00018882677,0.0000055806463,0.0021713413],"genre_scores_gemma":[0.99906665,0.00013194217,0.000022222097,0.000057205034,0.00006524104,0.0000013151817,0.000094126095,0.0000032620144,0.0005579564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996061,0.00015803675,0.000029986088,0.000056151897,0.000046540288,0.000103085884],"domain_scores_gemma":[0.96999085,0.023121377,0.0037010435,0.0006123576,0.00065344217,0.0019209011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013527252,0.00023289969,0.00041216364,0.00066425133,0.00038313106,0.0027539493,0.00026538258,0.001275664,0.006922649],"category_scores_gemma":[0.018104801,0.00027572538,0.00041475715,0.00056272413,0.00055532536,0.00097556144,0.00059047935,0.0012451279,0.0006738324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008087134,0.0018204607,0.94657755,0.000115440904,0.0007906442,0.0009341772,0.00056332,0.005188221,0.005469834,0.0029671462,0.0028071997,0.024678864],"study_design_scores_gemma":[0.00014167538,0.0004449256,0.98910195,0.000015477362,0.00029963604,0.000099785524,0.00050663576,0.00642569,0.0005355743,0.0018314333,0.0005727919,0.000024433188],"about_ca_topic_score_codex":0.004101117,"about_ca_topic_score_gemma":0.004983355,"teacher_disagreement_score":0.006922649,"about_ca_system_score_codex":0.00051163376,"about_ca_system_score_gemma":0.000252086,"threshold_uncertainty_score":0.02315861},"labels":[],"label_agreement":null},{"id":"W1984669884","doi":"10.1108/10867370910973982","title":"Divergence of opinion and valuation in a mean‐variance framework","year":2009,"lang":"en","type":"article","venue":"Studies in Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Economics; Capital asset pricing model; Divergence (linguistics); Financial economics; Valuation (finance); Asset (computer security); Econometrics; Risk premium; Capital market; Actuarial science; Microeconomics; Finance","score_opus":0.06130634695943508,"score_gpt":0.2751953346321589,"score_spread":0.21388898767272382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984669884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61719507,0.00072952325,0.358751,0.0019594382,0.000093370145,0.0000567756,0.00010845753,0.000059542264,0.02104683],"genre_scores_gemma":[0.9950003,0.00011110725,0.0037709929,0.000044346096,0.00003797364,0.000018829536,0.000013409143,0.000005775578,0.0009972692],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99829286,0.0009788597,0.00003985221,0.00021131699,0.00024311469,0.00023393736],"domain_scores_gemma":[0.99095845,0.0067493212,0.0010870761,0.00044021697,0.00043332056,0.00033167773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00327487,0.0004619241,0.0008047785,0.00046897607,0.00043210248,0.0029162697,0.0009876795,0.001274858,0.0030221632],"category_scores_gemma":[0.015233412,0.00035488504,0.0007929104,0.00036269776,0.0022282095,0.002931881,0.0012113785,0.0015535887,0.0002755162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028308402,0.00017930218,0.018745031,0.00009962971,0.00019352681,0.0006441936,0.00090044085,0.25612602,0.0030116958,0.6918652,0.000995412,0.026956508],"study_design_scores_gemma":[0.00004672384,0.00014480937,0.007494982,0.000025366588,0.000053665688,0.00014212569,0.00025223475,0.69269055,0.00033352574,0.29808334,0.00068076083,0.00005196251],"about_ca_topic_score_codex":0.0025795053,"about_ca_topic_score_gemma":0.0010393858,"teacher_disagreement_score":0.00327487,"about_ca_system_score_codex":0.0014187794,"about_ca_system_score_gemma":0.000532466,"threshold_uncertainty_score":0.017319381},"labels":[],"label_agreement":null},{"id":"W1984863473","doi":"10.5539/ijef.v1n1p40","title":"The Relationship between Earnings and Stock Returns: Empirical Evidence from the Greek Capital Market","year":2009,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Macedonia; University of Patras","keywords":"Earnings; Economics; Earnings response coefficient; Explanatory power; Price–earnings ratio; Post-earnings-announcement drift; Earnings per share; Stock (firearms); Econometrics; Financial economics; Capital market; Context (archaeology); Stock market; Earnings yield; Accounting; Finance","score_opus":0.08637292631443722,"score_gpt":0.27213958660552234,"score_spread":0.18576666029108513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984863473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965939,0.0010307482,0.00012307617,0.00017649376,0.000004275834,0.0000045158617,0.000115032155,0.0000025496888,0.0019494103],"genre_scores_gemma":[0.99837154,0.0011086152,0.000079101446,0.000026766551,0.000012709752,0.0000016766245,0.00023122905,0.000001882532,0.00016655438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961996,0.000100812205,0.00006390822,0.00006237351,0.00012019473,0.00003274292],"domain_scores_gemma":[0.99032813,0.005848566,0.0024897114,0.0005015867,0.0005587296,0.00027322874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013685132,0.00025529932,0.00034322965,0.0020505504,0.00018277222,0.0009816301,0.00028586795,0.00039857024,0.0020175655],"category_scores_gemma":[0.008142235,0.00014781028,0.0002515669,0.0024144643,0.00074816094,0.0011750517,0.0007349177,0.00044525237,0.00040112832],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027559136,0.0001940983,0.955201,0.00019335267,0.00025151673,0.001051551,0.0019159163,0.0017329574,0.0006789715,0.0037960045,0.00075534044,0.033953622],"study_design_scores_gemma":[0.000024564562,0.000115058305,0.9905338,0.00008617132,0.00008323457,0.00038969112,0.0015775207,0.002288955,0.0002702173,0.0019874,0.0026284843,0.000014897569],"about_ca_topic_score_codex":0.002585049,"about_ca_topic_score_gemma":0.0020447362,"teacher_disagreement_score":0.002585049,"about_ca_system_score_codex":0.00031868092,"about_ca_system_score_gemma":0.0002721593,"threshold_uncertainty_score":0.0072374344},"labels":[],"label_agreement":null},{"id":"W1985784701","doi":"10.2139/ssrn.1106897","title":"Information Shocks, Jumps, and Price Discovery: Evidence from the U.S. Treasury Market","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Price discovery; Treasury; Monetary economics; Financial economics; Economics; Business; Financial system; Political science; Futures contract; Law","score_opus":0.018383517994429083,"score_gpt":0.19260945347252173,"score_spread":0.17422593547809265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985784701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874055,0.0023620944,0.00053758017,0.003362598,0.000035664383,0.00001988074,0.00079315086,0.000038940005,0.005444721],"genre_scores_gemma":[0.9976488,0.001012724,0.00012889862,0.00016475086,0.000075018164,0.0000031919851,0.00045432724,0.000007140825,0.0005051343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917847,0.00021441474,0.000088832654,0.00010158523,0.00029151977,0.00012522013],"domain_scores_gemma":[0.9349971,0.04001313,0.018453794,0.0024107106,0.0023313689,0.0017937787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002997009,0.00023598659,0.0005118523,0.0014218303,0.00070757966,0.0027356865,0.0007334621,0.001704389,0.006201536],"category_scores_gemma":[0.04209114,0.00038569153,0.00046504414,0.0025308405,0.0012833672,0.0026372871,0.001154318,0.0020522,0.00075063435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059771203,0.0013140808,0.87067765,0.00026660573,0.0007714419,0.0011481971,0.0013027155,0.006212253,0.001624422,0.013202996,0.010553325,0.08694926],"study_design_scores_gemma":[0.0004637706,0.00046539176,0.9573845,0.00007347468,0.0005036223,0.00041311444,0.0010632599,0.017186899,0.0011880184,0.016430018,0.004740081,0.00008784514],"about_ca_topic_score_codex":0.020445075,"about_ca_topic_score_gemma":0.016302194,"teacher_disagreement_score":0.020445075,"about_ca_system_score_codex":0.0006294127,"about_ca_system_score_gemma":0.00072476675,"threshold_uncertainty_score":0.040652156},"labels":[],"label_agreement":null},{"id":"W1986092059","doi":"10.1142/s0219024908004981","title":"A SCENARIO ANALYSIS OF THE RISK PREMIUM IN G7 COUNTRIES","year":2008,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Risk premium; Stock (firearms); Earnings; Equity (law); Economics; Econometrics; Business; Geography; Finance","score_opus":0.0088672541737978,"score_gpt":0.19910250852047814,"score_spread":0.19023525434668034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986092059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898581,0.00016397939,0.0054624607,0.00016730708,0.0000091310985,0.000032928005,0.0004961773,0.000030276262,0.0037796872],"genre_scores_gemma":[0.99813396,0.00006750594,0.0010851665,0.000017483802,0.0000019910758,0.00001807453,0.0003748369,0.000005798117,0.00029523342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995146,0.0002821674,0.00001673371,0.0000742861,0.00003512348,0.00007717655],"domain_scores_gemma":[0.9974605,0.0018297991,0.00024257814,0.00017433267,0.0001583803,0.00013434511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021942034,0.00043724247,0.0005407463,0.0009495482,0.00036094568,0.0010167268,0.0007315417,0.0010440999,0.0028721907],"category_scores_gemma":[0.0060662734,0.00027050212,0.0011002383,0.00083818584,0.00046734384,0.0013082668,0.00065786584,0.001054139,0.0001797037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026002593,0.00003978036,0.014411485,0.000027939188,0.00013612105,0.00028823092,0.00007220315,0.97351134,0.00037801306,0.007438083,0.0006089298,0.002827903],"study_design_scores_gemma":[0.0000989723,0.00038434844,0.019515632,0.000028347684,0.00009813628,0.00025813433,0.00039114954,0.96304274,0.00068835757,0.014353754,0.0010855342,0.00005492078],"about_ca_topic_score_codex":0.0074979556,"about_ca_topic_score_gemma":0.0032339871,"teacher_disagreement_score":0.0074979556,"about_ca_system_score_codex":0.0007328332,"about_ca_system_score_gemma":0.00034675788,"threshold_uncertainty_score":0.014908671},"labels":[],"label_agreement":null},{"id":"W1986610593","doi":"10.1016/s1386-4181(00)00011-2","title":"Investor risk evaluation in the determination of management incentives in the mutual fund industry","year":2000,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mutual fund; Incentive; Business; Closed-end fund; Open-end fund; Actuarial science; Performance fee; Risk–return spectrum; Investment management; Finance; Economics; Institutional investor; Microeconomics; Portfolio; Corporate governance","score_opus":0.04198677478796171,"score_gpt":0.2567618210247644,"score_spread":0.2147750462368027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986610593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766193,0.0006159489,0.017278083,0.0011193021,0.000020423548,0.000042787407,0.000032983866,0.000023854194,0.0042474293],"genre_scores_gemma":[0.99866676,0.00008051449,0.00089716807,0.000017988628,0.000016132577,0.0000041454846,0.000009783158,0.000002477966,0.00030497444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978168,0.0013908693,0.00014986374,0.0001359589,0.0002591911,0.00024728812],"domain_scores_gemma":[0.93213946,0.056332376,0.0071592666,0.0007469684,0.0022634768,0.0013585025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011310591,0.00037461397,0.0008970214,0.0012817212,0.00049366476,0.0027619149,0.00058529753,0.0017208493,0.0011543949],"category_scores_gemma":[0.07149956,0.00036732946,0.00044582487,0.00048802295,0.0008125203,0.0022563965,0.0011516415,0.001163827,0.00010020742],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003272927,0.0005847873,0.4499211,0.00021989187,0.00050148705,0.0016504211,0.0014599201,0.2612123,0.0031001237,0.17896982,0.0032017962,0.09590547],"study_design_scores_gemma":[0.00011776385,0.00029525624,0.110170834,0.000083145016,0.0001552687,0.00033917942,0.0006542093,0.76016814,0.0023691836,0.124582395,0.00096633733,0.00009824592],"about_ca_topic_score_codex":0.0031954572,"about_ca_topic_score_gemma":0.00304032,"teacher_disagreement_score":0.011310591,"about_ca_system_score_codex":0.001431691,"about_ca_system_score_gemma":0.0011821492,"threshold_uncertainty_score":0.059816837},"labels":[],"label_agreement":null},{"id":"W1987400030","doi":"10.5430/afr.v2n4p34","title":"The Behavior of Beta in the 19th Century","year":2013,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Predictability; Mean reversion; BETA (programming language); Outlier; Vasicek model; Portfolio; Economics; Stock market; Stock exchange; Statistics; Excess return; Lag; Stability (learning theory); Mathematics; Financial economics; Computer science; Interest rate","score_opus":0.06065189079822822,"score_gpt":0.28893130481230084,"score_spread":0.22827941401407262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987400030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98277086,0.0011909491,0.0014481305,0.00032139992,0.000047619,0.0000063205634,0.0014859384,0.000042281503,0.012686533],"genre_scores_gemma":[0.9966127,0.00057269493,0.00046289893,0.00004241541,0.00006216671,0.000006646279,0.001290775,0.000029239305,0.0009203896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995536,0.000074986216,0.000031097625,0.00011839702,0.0001537454,0.00006820081],"domain_scores_gemma":[0.9964342,0.00113505,0.0010835882,0.0004146969,0.00068663975,0.0002458453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014318172,0.00019081663,0.00023350003,0.0025703863,0.00029774717,0.0013638071,0.0002351876,0.0003419741,0.0013249809],"category_scores_gemma":[0.009945001,0.00015003426,0.00017429769,0.0021504231,0.0004964056,0.0010143196,0.00062067306,0.00063192664,0.00047702555],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048596668,0.00006327242,0.8821858,0.000108255175,0.00015040096,0.0008119565,0.002938969,0.006544297,0.0040147584,0.021155128,0.005454369,0.07608681],"study_design_scores_gemma":[0.000010470713,0.000083978586,0.97339803,0.000043658354,0.000018033305,0.00054008415,0.0003002162,0.004881944,0.0014687541,0.0051830155,0.014040007,0.00003181697],"about_ca_topic_score_codex":0.0021408296,"about_ca_topic_score_gemma":0.0014227174,"teacher_disagreement_score":0.0025703863,"about_ca_system_score_codex":0.0005851996,"about_ca_system_score_gemma":0.00017158873,"threshold_uncertainty_score":0.0075722933},"labels":[],"label_agreement":null},{"id":"W1987433284","doi":"10.1007/s11408-014-0237-x","title":"Corporate sustainability in asset pricing models and mutual funds performance measurement","year":2014,"lang":"en","type":"article","venue":"Financial markets and portfolio management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University; Deutscher Akademischer Austauschdienst","keywords":"Capital asset pricing model; Economics; Sustainability; Consumption-based capital asset pricing model; Financial economics; Asset (computer security)","score_opus":0.03737945376247867,"score_gpt":0.19814115407669614,"score_spread":0.16076170031421746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987433284","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4610073,0.0029020356,0.5196322,0.0033503675,0.00010646196,0.00003423107,0.00012847105,0.00022106015,0.012617847],"genre_scores_gemma":[0.989608,0.00043541292,0.008498059,0.00004821133,0.000055878347,0.000015280473,0.000052996467,0.000016710113,0.0012693155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814487,0.0013330012,0.00005996603,0.00013849174,0.00022917439,0.00009455671],"domain_scores_gemma":[0.9946325,0.0037732946,0.0007321774,0.0003543144,0.00038336474,0.00012442416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004559521,0.000626664,0.0007175766,0.0008475634,0.00033518168,0.0021951862,0.0008239736,0.001803448,0.0007251536],"category_scores_gemma":[0.022390584,0.00045719388,0.000483044,0.0013750199,0.0011608469,0.0040727346,0.0011884181,0.0012308025,0.00014708732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067037035,0.00009930181,0.017638355,0.000054101667,0.000105588144,0.00012874542,0.00022820811,0.5433254,0.00049923494,0.40014878,0.0013211913,0.036383957],"study_design_scores_gemma":[0.000005104582,0.000018294006,0.0017918454,0.000015759639,0.000012174598,0.000030166404,0.00003204681,0.85244423,0.00022118392,0.14479986,0.00061836326,0.000010992689],"about_ca_topic_score_codex":0.003553468,"about_ca_topic_score_gemma":0.0026402988,"teacher_disagreement_score":0.004559521,"about_ca_system_score_codex":0.0012478622,"about_ca_system_score_gemma":0.0007567129,"threshold_uncertainty_score":0.024113297},"labels":[],"label_agreement":null},{"id":"W1987569388","doi":"10.5539/ijef.v3n6p128","title":"Individual Investors’ Stock Trading Behavior at Amman Stock Exchange","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock trading; Stock (firearms); Business; Monetary economics; Financial economics; Econometrics; Economics; Finance; Stock market","score_opus":0.09641039728505395,"score_gpt":0.24043639681959406,"score_spread":0.1440259995345401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987569388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994398,0.000027997501,0.00002445395,0.00002192987,0.0000014188504,0.0000021373696,0.00004792309,9.351914e-7,0.00043340868],"genre_scores_gemma":[0.9990754,0.000060202572,0.000057266396,0.0000085279935,0.0000050629483,0.0000027184344,0.00007139292,4.7143624e-7,0.0007189161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997433,0.000082789025,0.00003018728,0.00003134556,0.00006487213,0.000047638365],"domain_scores_gemma":[0.9984415,0.0006179577,0.0005856017,0.000059088365,0.000084096755,0.00021164678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005995356,0.00013419398,0.00019325259,0.00054111495,0.00018257696,0.0005542559,0.00012202009,0.00031710888,0.0023755028],"category_scores_gemma":[0.0018505554,0.000078697274,0.00017491737,0.00042283649,0.00012328378,0.0003371215,0.00020207278,0.0002708381,0.00043592157],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111313566,0.00010623813,0.9940048,0.000006341745,0.000042289816,0.00015949176,0.000501609,0.00015967393,0.00047096537,0.00005500283,0.00011348944,0.004268787],"study_design_scores_gemma":[0.000002979076,0.00012798789,0.99795234,0.000003749249,0.00001760741,0.00014903047,0.00048128824,0.00076103857,0.00025797522,0.000035510802,0.00020498356,0.000005348593],"about_ca_topic_score_codex":0.0019149019,"about_ca_topic_score_gemma":0.0037493724,"teacher_disagreement_score":0.0023755028,"about_ca_system_score_codex":0.00018303172,"about_ca_system_score_gemma":0.0000956608,"threshold_uncertainty_score":0.0079469085},"labels":[],"label_agreement":null},{"id":"W1987862057","doi":"10.5539/ijef.v6n8p153","title":"The Performance Persistence of Equity and Blended Mutual Funds in Kenya","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Persistence (discontinuity); Net asset value; Commodity pool; Mutual fund; Fund of funds; Business; Population; Economics; Actuarial science; Finance; Passive management; Demography; Political science","score_opus":0.03366171395192858,"score_gpt":0.2266374178966644,"score_spread":0.19297570394473582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987862057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990306,0.00021647426,0.000025779957,0.00004977284,0.0000012567303,0.0000031457432,0.00018623202,7.397814e-7,0.00048599942],"genre_scores_gemma":[0.999551,0.00008913705,0.00002744833,0.000005055489,0.000002340406,0.0000018381817,0.00018441235,5.036632e-7,0.0001382484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993204,0.000069756876,0.000107523396,0.000092946335,0.00022870478,0.00018063452],"domain_scores_gemma":[0.99555224,0.00034063222,0.003271626,0.00007727817,0.0005152613,0.00024295066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010067938,0.0001582677,0.00023412377,0.0017506952,0.000445096,0.0011728732,0.00032985667,0.00036587435,0.00072934],"category_scores_gemma":[0.0050709927,0.00012440803,0.00017792573,0.001849768,0.0005678117,0.0014526318,0.0010646944,0.00032671413,0.00015025718],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015947933,0.000029704706,0.9900108,0.000030517149,0.000036364334,0.00031586154,0.0011287348,0.00035384396,0.00048377656,0.00036819943,0.00019450833,0.0068881996],"study_design_scores_gemma":[0.0000027969695,0.00006274296,0.9974769,0.000018363706,0.000011684967,0.00016784914,0.0010074115,0.0004073902,0.00027757435,0.000057676196,0.00050150056,0.000008161234],"about_ca_topic_score_codex":0.03373065,"about_ca_topic_score_gemma":0.03554643,"teacher_disagreement_score":0.03373065,"about_ca_system_score_codex":0.0016705523,"about_ca_system_score_gemma":0.00095453934,"threshold_uncertainty_score":0.06706864},"labels":[],"label_agreement":null},{"id":"W1988731490","doi":"10.1016/j.najef.2011.06.001","title":"Back to fundamentals: The role of expected cash flows in equity valuation","year":2011,"lang":"en","type":"article","venue":"The North American Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Economics; Valuation (finance); Equity (law); Financial economics; Ex-ante; Cash flow; Econometrics; Risk premium; Finance; Macroeconomics","score_opus":0.05487205969933395,"score_gpt":0.23115707015729048,"score_spread":0.17628501045795653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988731490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39073324,0.096502885,0.2484837,0.1426348,0.0047395597,0.000077375946,0.00112953,0.00032662315,0.115372375],"genre_scores_gemma":[0.9610894,0.01697782,0.0070526507,0.002189446,0.0028830024,0.000023668057,0.00012284958,0.00013167073,0.009529531],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989604,0.00057106704,0.000052523657,0.0001752454,0.0001482663,0.00009256916],"domain_scores_gemma":[0.9738911,0.02206191,0.0012538562,0.0008516251,0.0012788937,0.00066256925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042061587,0.0011206393,0.0010720228,0.0011057999,0.0009296666,0.007193192,0.0016385963,0.0030952678,0.01047373],"category_scores_gemma":[0.048080105,0.0009818297,0.00071174465,0.0013753185,0.0061086486,0.022980023,0.0016076466,0.00964633,0.0006523178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008755322,0.000055513385,0.0027783457,0.000119581164,0.000040122457,0.00016504954,0.0004487967,0.009190366,0.0002886471,0.95855,0.005102558,0.023173451],"study_design_scores_gemma":[0.000016640206,0.000015593285,0.0015941719,0.000113533235,0.000017120143,0.00004300241,0.00012867086,0.010753182,0.00010952716,0.98404133,0.0031463758,0.000020806427],"about_ca_topic_score_codex":0.0045067132,"about_ca_topic_score_gemma":0.0024500499,"teacher_disagreement_score":0.01047373,"about_ca_system_score_codex":0.0018138316,"about_ca_system_score_gemma":0.0013139097,"threshold_uncertainty_score":0.035038114},"labels":[],"label_agreement":null},{"id":"W1989032076","doi":"10.1111/j.1755-053x.2010.01102.x","title":"A Law and Finance Analysis of Hedge Funds","year":2010,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Capitalization; Hedge fund; Key (lock); Business; Service provider; Service (business); Performance fee; Finance; Actuarial science; Econometrics; Economics; Open-end fund; Computer science; Institutional investor; Marketing; Corporate governance; Computer security","score_opus":0.014797848555585585,"score_gpt":0.20162131473412206,"score_spread":0.18682346617853648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989032076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5191746,0.022730317,0.18060389,0.033457883,0.0002960227,0.00014332392,0.0005437947,0.00019737321,0.2428528],"genre_scores_gemma":[0.985827,0.0029241862,0.0036261096,0.00047746339,0.00038285108,0.0000485801,0.0000761846,0.0000146471675,0.006622926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990356,0.00034991818,0.000035842997,0.000087753695,0.00037099698,0.00011991614],"domain_scores_gemma":[0.99498785,0.0034188663,0.00074164337,0.0002553314,0.00043938903,0.00015692573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023521818,0.0002259571,0.00044304674,0.0017230387,0.00084700587,0.002269673,0.0004705314,0.0014921601,0.003299042],"category_scores_gemma":[0.014000328,0.0001969278,0.0004615128,0.0012896445,0.002920824,0.0031979943,0.0008098859,0.0014904767,0.00025512947],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001970468,0.000034672215,0.0032303762,0.000029609637,0.000013134059,0.00012570247,0.00012169589,0.010448119,0.00019570654,0.97179836,0.001812318,0.012170652],"study_design_scores_gemma":[0.000028009836,0.000069117064,0.0050511,0.000058504913,0.000018428518,0.00017181241,0.000116825235,0.048423637,0.00027989928,0.9290383,0.016727049,0.000017440616],"about_ca_topic_score_codex":0.0037848388,"about_ca_topic_score_gemma":0.0015040403,"teacher_disagreement_score":0.0037848388,"about_ca_system_score_codex":0.0019838146,"about_ca_system_score_gemma":0.0011617313,"threshold_uncertainty_score":0.014393687},"labels":[],"label_agreement":null},{"id":"W1989057579","doi":"10.1108/13581981311315550","title":"Window dressing in mutual fund portfolios: fact or fiction?","year":2013,"lang":"en","type":"article","venue":"Journal of Financial Regulation and Compliance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mutual fund; Closed-end fund; Portfolio; Open-end fund; Equity (law); Business; Fund of funds; Expense ratio; Finance; Target date fund; Fund administration; Quarter (Canadian coin); Accounting; Institutional investor; Commission; Economics; Corporate governance","score_opus":0.08655211503559415,"score_gpt":0.26732518879032935,"score_spread":0.1807730737547352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989057579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95827895,0.01525988,0.0035626045,0.014000249,0.00020086048,0.00002263509,0.0005694188,0.00004154461,0.008063905],"genre_scores_gemma":[0.9949418,0.0026649924,0.0010086142,0.00052883424,0.00033334203,0.0000064835594,0.00012947188,0.000008664336,0.00037782924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979019,0.00079339097,0.00027907846,0.00035801623,0.0005057566,0.0001617422],"domain_scores_gemma":[0.9497956,0.019178897,0.025977332,0.0032008905,0.0013981228,0.0004491831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037068615,0.00014549628,0.00024681058,0.0015820641,0.00052808155,0.0020869144,0.0004865076,0.000834673,0.0016114118],"category_scores_gemma":[0.042068124,0.00012714762,0.00023461448,0.0037034065,0.0022651292,0.0040370193,0.0010063861,0.0007926993,0.00021901354],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035410235,0.000070840055,0.6913712,0.00047058874,0.00015916758,0.000763199,0.016058913,0.0009338513,0.0011533945,0.021815583,0.008523635,0.25832558],"study_design_scores_gemma":[0.00001315993,0.00023343516,0.9137105,0.00087819475,0.00014971227,0.0032789884,0.014179949,0.0021641243,0.0025280504,0.02757897,0.03521138,0.000073446834],"about_ca_topic_score_codex":0.002259125,"about_ca_topic_score_gemma":0.0028003904,"teacher_disagreement_score":0.0037068615,"about_ca_system_score_codex":0.00070839335,"about_ca_system_score_gemma":0.00037497288,"threshold_uncertainty_score":0.019603968},"labels":[],"label_agreement":null},{"id":"W1989181432","doi":"10.5539/ibr.v1n1p101","title":"Optimal Investment Decision on Open-end Funds","year":2009,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Discounting; Transaction cost; Investment (military); Commission; Business; Database transaction; Closed-end fund; Actuarial science; Process (computing); Finance; Economics; Microeconomics; Econometrics; Computer science; Database","score_opus":0.13625202103812095,"score_gpt":0.3635754467956312,"score_spread":0.22732342575751024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989181432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6953934,0.0020157297,0.276182,0.0026777477,0.00015504347,0.00017790288,0.00017647767,0.000085420375,0.023136418],"genre_scores_gemma":[0.98002267,0.0006033631,0.011599949,0.000053037318,0.000050889274,0.000055885335,0.000054090917,0.000018096,0.0075419345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829024,0.00091881707,0.00007690608,0.0002506118,0.00018542065,0.00027799577],"domain_scores_gemma":[0.99481565,0.003628185,0.00064755394,0.0001251599,0.0002935114,0.0004899292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036895769,0.0007393841,0.0014268856,0.0008048394,0.0005193125,0.0029376838,0.0010124395,0.002101886,0.003834845],"category_scores_gemma":[0.0134946965,0.0007576127,0.0009026694,0.00046834574,0.0017207986,0.0042358655,0.0012772493,0.0016188063,0.00020176994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076467614,0.00020803601,0.0022011544,0.00024055579,0.00010085777,0.0006888195,0.0002098458,0.4937997,0.0022763987,0.4820136,0.0012780721,0.016218174],"study_design_scores_gemma":[0.00012642496,0.00029256637,0.0010286773,0.00005113806,0.000058342433,0.00010841486,0.0001865566,0.7892769,0.0011396916,0.20645726,0.0012222499,0.00005167039],"about_ca_topic_score_codex":0.0024962504,"about_ca_topic_score_gemma":0.0013004025,"teacher_disagreement_score":0.003834845,"about_ca_system_score_codex":0.0023122665,"about_ca_system_score_gemma":0.0015154709,"threshold_uncertainty_score":0.019512534},"labels":[],"label_agreement":null},{"id":"W1989578613","doi":"10.1108/14757700710750838","title":"Life cycle effect on the value relevance of common risk factors","year":2007,"lang":"en","type":"article","venue":"Review of Accounting and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Volatility (finance); Economics; Actuarial science; Risk premium; Econometrics; Product life-cycle management; Financial economics; Business; Marketing","score_opus":0.016636265567156295,"score_gpt":0.2343317761082448,"score_spread":0.2176955105410885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989578613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99425817,0.0006067512,0.0026103125,0.000114634786,0.000005946786,0.000031146774,0.0001490811,0.000015974287,0.002208009],"genre_scores_gemma":[0.9992099,0.00010484348,0.0003147148,0.000010003018,0.0000044834323,0.0000042041265,0.000073672105,0.0000035945602,0.00027445125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998971,0.00039194143,0.00008402155,0.00016046036,0.00027992498,0.00011256587],"domain_scores_gemma":[0.94857186,0.03150086,0.01494596,0.0019085961,0.0021030947,0.0009695531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031966039,0.00026618765,0.00033687364,0.0008659852,0.00016442593,0.0014206879,0.00037404962,0.00042700453,0.0025325948],"category_scores_gemma":[0.021907685,0.00015727886,0.0006605079,0.00065425655,0.00048333994,0.0010194072,0.00059139205,0.00059733336,0.00021539092],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009081161,0.00021852976,0.93641096,0.000109304856,0.00030127642,0.00028228146,0.00020066486,0.014706138,0.0029419537,0.0034577653,0.0002616754,0.040201347],"study_design_scores_gemma":[0.000022654845,0.00061976886,0.959184,0.000040718955,0.0002303496,0.00018731774,0.00021066022,0.02947684,0.0028679105,0.0061283205,0.0009907746,0.000040731113],"about_ca_topic_score_codex":0.001637008,"about_ca_topic_score_gemma":0.0014856233,"teacher_disagreement_score":0.0031966039,"about_ca_system_score_codex":0.000658678,"about_ca_system_score_gemma":0.0004490487,"threshold_uncertainty_score":0.016905427},"labels":[],"label_agreement":null},{"id":"W1989808110","doi":"10.1017/s0022109010000451","title":"Seasonality in the Cross Section of Stock Returns: The International Evidence","year":2010,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Predictability; Stock (firearms); Economics; Financial economics; Seasonality; Stock market; Econometrics; Monetary economics; Geography; Mathematics; Statistics","score_opus":0.07095115020317103,"score_gpt":0.3140690492664164,"score_spread":0.24311789906324535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989808110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874068,0.0035991967,0.00080279494,0.0007465775,0.000050806688,0.000005747763,0.0006743135,0.000018945175,0.0066947574],"genre_scores_gemma":[0.99853766,0.000717175,0.00007965257,0.00006342873,0.00007761813,9.2781016e-7,0.0003461412,0.000005721639,0.00017167504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999479,0.00009776238,0.000050863233,0.00017516574,0.00011035266,0.00008691078],"domain_scores_gemma":[0.98286647,0.0072471085,0.00606081,0.0016945691,0.0013555182,0.00077561015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017272654,0.00018323323,0.0003208487,0.0011232697,0.00020322787,0.0012146253,0.00031063688,0.00046288213,0.0031701443],"category_scores_gemma":[0.008655856,0.00018533651,0.00040812092,0.002066708,0.0005910424,0.00088333414,0.00062058255,0.00065616117,0.00045955094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013997695,0.00003788137,0.98460084,0.00004556237,0.00032962806,0.00017028766,0.00015483532,0.0007098884,0.00040268307,0.0011116782,0.0007796788,0.011517023],"study_design_scores_gemma":[0.0000056319836,0.00004798892,0.99646026,0.000030964304,0.00011414745,0.00013929931,0.00014806772,0.0008731577,0.00026446165,0.00062614225,0.0012822646,0.0000076347305],"about_ca_topic_score_codex":0.0050515532,"about_ca_topic_score_gemma":0.0040806835,"teacher_disagreement_score":0.0050515532,"about_ca_system_score_codex":0.00019811901,"about_ca_system_score_gemma":0.00014793887,"threshold_uncertainty_score":0.010605156},"labels":[],"label_agreement":null},{"id":"W1990089364","doi":"10.1108/03074350910973676","title":"The effect of demand on stock prices: new evidence from S&amp;P 500 weight adjustments","year":2009,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economics; Event study; Weighting; Stock (firearms); Abnormal return; Index (typography); Arbitrage; Econometrics; Value (mathematics); Financial economics; Monetary economics; Stock exchange; Finance; Mathematics; Statistics; Context (archaeology)","score_opus":0.02776925768841883,"score_gpt":0.23382117828795967,"score_spread":0.20605192059954083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990089364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944608,0.00031559047,0.00061510986,0.00023255851,0.000014326522,0.000015368281,0.00023319967,0.0000119799415,0.004100975],"genre_scores_gemma":[0.99916124,0.00015159327,0.00013484604,0.000057729252,0.000028281118,0.0000033899382,0.00016173456,0.000003966729,0.00029728535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999143,0.000180036,0.00009674793,0.000121490826,0.00040150495,0.000057248973],"domain_scores_gemma":[0.9741261,0.01269285,0.008809572,0.00241429,0.001266492,0.0006907649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095015357,0.00019259921,0.00025667413,0.0005368817,0.00019941857,0.00097190664,0.00040470713,0.0004931577,0.0030033048],"category_scores_gemma":[0.012595613,0.00013351673,0.0002822996,0.00055571616,0.00059866166,0.00078299735,0.0005692078,0.0007766759,0.00042125513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023077554,0.00093979505,0.9220606,0.00016968668,0.00024112307,0.0006295457,0.0006121963,0.001468112,0.007764731,0.0015961666,0.0010351469,0.061175045],"study_design_scores_gemma":[0.000023830667,0.00044651597,0.9936267,0.00001481432,0.00005775919,0.00015317372,0.00032830276,0.0016898232,0.0013342747,0.000859794,0.0014520569,0.0000129612545],"about_ca_topic_score_codex":0.002155291,"about_ca_topic_score_gemma":0.001719274,"teacher_disagreement_score":0.0030033048,"about_ca_system_score_codex":0.00031711976,"about_ca_system_score_gemma":0.00016875297,"threshold_uncertainty_score":0.0100470185},"labels":[],"label_agreement":null},{"id":"W1990484409","doi":"10.1057/palgrave.jdhf.1850062","title":"The beta puzzle revisited: A panel study of hedge fund returns","year":2007,"lang":"en","type":"article","venue":"Journal of Derivatives & Hedge Funds","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais","funders":"Université du Québec à Montréal","keywords":"Hedge fund; Economics; BETA (programming language); Econometrics; Futures contract; Financial economics; Risk premium; Generalized method of moments; Alternative beta; Panel data; Instrumental variable; Ordinary least squares; Actuarial science; Institutional investor; Open-end fund; Finance; Computer science; Corporate governance","score_opus":0.08913097068872626,"score_gpt":0.27826697544148815,"score_spread":0.18913600475276188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990484409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99640524,0.0005105638,0.00063025084,0.0007915406,0.000011340621,0.000004397108,0.0005109683,0.000007922829,0.0011278421],"genre_scores_gemma":[0.9981956,0.0002552698,0.00018095817,0.00010077066,0.00003850824,0.0000037347656,0.000569212,0.000008032279,0.00064789434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956816,0.00021831968,0.000024553186,0.00007908621,0.000047366295,0.000062398714],"domain_scores_gemma":[0.9911176,0.0061208834,0.0012524172,0.0007930395,0.00032027852,0.00039581774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022511757,0.00023429013,0.00065116177,0.00073337293,0.00042411048,0.0018950007,0.0007062508,0.0015391279,0.0028881566],"category_scores_gemma":[0.011731701,0.0002928215,0.00053481443,0.0018524396,0.0003631723,0.0016224548,0.0006994655,0.0015914139,0.0005437031],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017990697,0.0014269521,0.8648975,0.0001380304,0.002079881,0.0021617971,0.004800192,0.0193635,0.0045691696,0.0138975885,0.013198849,0.07166748],"study_design_scores_gemma":[0.00015666553,0.0002929891,0.93630946,0.000076391356,0.0009085703,0.0008719064,0.0031396938,0.03688577,0.0011588078,0.013411423,0.0067043654,0.000083931016],"about_ca_topic_score_codex":0.006944759,"about_ca_topic_score_gemma":0.00838454,"teacher_disagreement_score":0.006944759,"about_ca_system_score_codex":0.00031047844,"about_ca_system_score_gemma":0.00025434888,"threshold_uncertainty_score":0.013808668},"labels":[],"label_agreement":null},{"id":"W1990563024","doi":"10.1111/1468-5957.05452","title":"A Simultaneous Equations Analysis of Analysts’ Forecast Bias, Analyst Following, and Institutional Ownership","year":2003,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Optimism; Optimism bias; Agency (philosophy); Simultaneous equations model; Institutional investor; Simultaneous equations; Investment (military); Investment decisions; Economics; Principal–agent problem; Econometrics; Business; Accounting; Actuarial science; Finance; Corporate governance; Behavioral economics; Psychology; Political science; Social psychology","score_opus":0.056331786520105245,"score_gpt":0.24019370712609428,"score_spread":0.18386192060598905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990563024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85211,0.000648443,0.13710973,0.0026573802,0.00018002404,0.00026152184,0.0026545129,0.00043680833,0.003941591],"genre_scores_gemma":[0.95195115,0.0006912536,0.034963064,0.00019092447,0.00019629158,0.0003166163,0.0023070974,0.00003491627,0.009348696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9972836,0.0012098594,0.00016706578,0.0004175213,0.0004654017,0.0004565319],"domain_scores_gemma":[0.9675772,0.02651706,0.0035612353,0.0006253889,0.00115181,0.0005672085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005069456,0.0017593221,0.001915869,0.0017087123,0.0010413368,0.0028134596,0.0011032915,0.0014897437,0.007606265],"category_scores_gemma":[0.019367265,0.0015024915,0.002841507,0.0016050907,0.00070797524,0.0015919656,0.0018943406,0.002151978,0.0007740197],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012240965,0.0017467893,0.35192803,0.00035398302,0.0032643254,0.0019121347,0.0022074434,0.47872013,0.004139217,0.07459446,0.005972729,0.07393665],"study_design_scores_gemma":[0.00031908424,0.00055083254,0.04239661,0.000047209767,0.0008457234,0.00020591098,0.00047429473,0.9333435,0.0010883678,0.017446632,0.0031477052,0.0001341021],"about_ca_topic_score_codex":0.07591896,"about_ca_topic_score_gemma":0.046885263,"teacher_disagreement_score":0.07591896,"about_ca_system_score_codex":0.0017748188,"about_ca_system_score_gemma":0.004178145,"threshold_uncertainty_score":0.15095413},"labels":[],"label_agreement":null},{"id":"W1990708181","doi":"10.2308/accr.2005.80.3.805","title":"Rounding of Analyst Forecasts","year":2005,"lang":"en","type":"article","venue":"The Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rounding; Liberian dollar; Earnings; Consensus forecast; Economics; Econometrics; Dispersion (optics); Quarter (Canadian coin); Financial economics; Actuarial science; Finance; Geography; Computer science","score_opus":0.04583586130955767,"score_gpt":0.24765298093291774,"score_spread":0.20181711962336008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990708181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93054175,0.0014874317,0.021870758,0.00085904734,0.00032782406,0.00011740542,0.002492291,0.00053070206,0.041772794],"genre_scores_gemma":[0.9949405,0.00027484758,0.0023018764,0.00007403294,0.000069433525,0.000016527536,0.00087938516,0.000028356444,0.0014150802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99320227,0.0010990202,0.00079620123,0.0010771297,0.003421786,0.00040363194],"domain_scores_gemma":[0.929532,0.033520386,0.018357543,0.007014374,0.010634342,0.0009412851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032476888,0.0002050765,0.00043466385,0.0015908381,0.00044333236,0.001631416,0.00036936617,0.00033582814,0.004537676],"category_scores_gemma":[0.084758855,0.00019993947,0.00026273835,0.0012202936,0.00024087518,0.0012152721,0.00094913895,0.00070698914,0.0012141289],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016224362,0.000083944135,0.60794246,0.0004140749,0.00026345003,0.0006656722,0.0035080535,0.021448188,0.007812733,0.005681906,0.015149517,0.33540764],"study_design_scores_gemma":[0.00006441676,0.00038827758,0.88873696,0.00028002774,0.00014520985,0.0015210484,0.0035377059,0.032348607,0.010700713,0.01927311,0.042849362,0.00015463967],"about_ca_topic_score_codex":0.0039394484,"about_ca_topic_score_gemma":0.0033441177,"teacher_disagreement_score":0.004537676,"about_ca_system_score_codex":0.0005990552,"about_ca_system_score_gemma":0.00059299247,"threshold_uncertainty_score":0.017175674},"labels":[],"label_agreement":null},{"id":"W1991857329","doi":"10.1080/13504851.2014.914137","title":"Evidence for the seasonality of European equity fund performance","year":2014,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Seasonality; Quarter (Canadian coin); Fund of funds; Economics; Closed-end fund; Investment (military); Stock (firearms); Private equity fund; Business; Monetary economics; Finance; Financial economics; Initial public offering; Geography","score_opus":0.14012596327888632,"score_gpt":0.2563589844931113,"score_spread":0.11623302121422496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991857329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99611497,0.0007078621,0.0004976747,0.00012839398,0.000015551763,0.0000037799364,0.00036867202,0.000013872581,0.0021492343],"genre_scores_gemma":[0.99917513,0.00013248624,0.00010068646,0.000017297212,0.000019707484,0.0000017109157,0.0003477563,0.000004782515,0.00020049461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993235,0.00014566687,0.00010416142,0.00018850085,0.00012413069,0.00011416244],"domain_scores_gemma":[0.9913071,0.0028501716,0.0040274304,0.00075299415,0.00070701644,0.00035526243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021901962,0.00014421873,0.00024732953,0.0011918106,0.00010584045,0.0008481357,0.0002177887,0.00037247306,0.0015531997],"category_scores_gemma":[0.008138778,0.00010723446,0.00026168633,0.0012300676,0.00026556407,0.0005502688,0.00056803937,0.00025149088,0.0002485889],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028173416,0.000037462378,0.9758077,0.000048147715,0.00017075807,0.00015401114,0.00046733793,0.00072156516,0.0016030278,0.000754027,0.0006407731,0.01931352],"study_design_scores_gemma":[0.0000023813573,0.000024498544,0.99848086,0.000009631307,0.000019919209,0.00007093603,0.000080237216,0.00037428443,0.00017108834,0.00017832957,0.00058487797,0.0000029786788],"about_ca_topic_score_codex":0.0021081625,"about_ca_topic_score_gemma":0.0024330772,"teacher_disagreement_score":0.0021901962,"about_ca_system_score_codex":0.00023851714,"about_ca_system_score_gemma":0.0001559892,"threshold_uncertainty_score":0.01158303},"labels":[],"label_agreement":null},{"id":"W1991863464","doi":"10.1108/01443581211192071","title":"Momentum trading strategy and investment horizon: an experimental study","year":2012,"lang":"en","type":"article","venue":"Journal of Economic Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Stock (firearms); Economics; Investment (military); Horizon; Econometrics; Momentum (technical analysis); Trading strategy; Time horizon; Term (time); Financial economics; Investment strategy; Uncorrelated; Set (abstract data type); Control (management); Microeconomics; Finance; Mathematics; Statistics; Computer science; Engineering","score_opus":0.11020601691477179,"score_gpt":0.304406767838058,"score_spread":0.1942007509232862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991863464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940684,0.00008882067,0.0011100557,0.000106910265,0.00006289751,0.0020399299,0.0001437184,0.000020740252,0.0023585153],"genre_scores_gemma":[0.96511847,0.0003221221,0.011585932,0.00041834402,0.0002322124,0.015325026,0.000347862,0.000021648239,0.0066283867],"study_design_codex":"nonrandomized_trial","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977495,0.0008470878,0.00027803867,0.00044498174,0.00045885087,0.00022141315],"domain_scores_gemma":[0.9821446,0.012724223,0.0023955202,0.0013898116,0.00049837946,0.000847504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004864577,0.000798435,0.0009959153,0.00054264197,0.0006514414,0.001512545,0.0011996244,0.001316993,0.009973941],"category_scores_gemma":[0.0105854655,0.00065688975,0.00046358397,0.00039559347,0.0012783264,0.0010092676,0.0009609822,0.0015514644,0.00064501545],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.11612103,0.585609,0.037205447,0.002100036,0.00044748714,0.0010189933,0.0101709,0.0031871875,0.11979306,0.012699012,0.0025669436,0.109080896],"study_design_scores_gemma":[0.04687633,0.7636304,0.10862671,0.00035053535,0.00082022627,0.0006659876,0.0027197322,0.01501232,0.031832594,0.016593246,0.012598601,0.000273296],"about_ca_topic_score_codex":0.00022272619,"about_ca_topic_score_gemma":0.00019182762,"teacher_disagreement_score":0.009973941,"about_ca_system_score_codex":0.00036699412,"about_ca_system_score_gemma":0.00060280005,"threshold_uncertainty_score":0.033366144},"labels":[],"label_agreement":null},{"id":"W1992222275","doi":"10.1016/j.frl.2008.12.003","title":"On the nature of mean-variance spanning","year":2008,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Portfolio; Asset (computer security); Asset allocation; Harm; Business; Value (mathematics); Variance (accounting); Financial economics; Economics; Actuarial science; Computer science; Accounting","score_opus":0.08518097707475278,"score_gpt":0.2814772083198067,"score_spread":0.19629623124505394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992222275","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37675434,0.0038331568,0.5412763,0.010884371,0.00022745131,0.00007812982,0.00041710844,0.0004990387,0.066030174],"genre_scores_gemma":[0.96144396,0.0016432231,0.02721904,0.00077942485,0.00038729742,0.00006775449,0.00028175788,0.00024592195,0.007931689],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976615,0.0009718677,0.00011358325,0.00047748967,0.0003877372,0.0003878526],"domain_scores_gemma":[0.95153826,0.036576454,0.003940657,0.003410292,0.0023321025,0.0022022661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067567844,0.0005176658,0.0017048588,0.0019019608,0.002393486,0.0055877813,0.0030816537,0.0039764526,0.009274938],"category_scores_gemma":[0.065006845,0.0012010473,0.0013094242,0.002203569,0.0047318307,0.012471575,0.0037706746,0.003956681,0.0008428033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025241885,0.0000177514,0.00088462466,0.000021125228,0.000015593354,0.00007147833,0.00018850737,0.0059235417,0.00032933665,0.98665524,0.0011556059,0.004711948],"study_design_scores_gemma":[0.0000077237,0.000010413207,0.00076938455,0.000019460389,0.000010911667,0.00013854912,0.00007229626,0.046678886,0.00014721736,0.9514102,0.0007199264,0.000014996807],"about_ca_topic_score_codex":0.001380011,"about_ca_topic_score_gemma":0.0010030961,"teacher_disagreement_score":0.009274938,"about_ca_system_score_codex":0.001526891,"about_ca_system_score_gemma":0.0010872331,"threshold_uncertainty_score":0.0357337},"labels":[],"label_agreement":null},{"id":"W1992530102","doi":"10.5539/ijef.v4n8p1","title":"Dividend Policy and Consumption Risk","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Université du Québec à Montréal; Harvard University","keywords":"Dividend; Economics; Consumption (sociology); Capital asset pricing model; Earnings; Dividend payout ratio; Econometrics; Stock (firearms); Context (archaeology); Dividend policy; Financial economics; Monetary economics; Finance","score_opus":0.03384367799794681,"score_gpt":0.24610277119945012,"score_spread":0.21225909320150332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992530102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.870105,0.007302213,0.08473494,0.005483153,0.000101594094,0.000027753045,0.00017748648,0.00007379795,0.031994086],"genre_scores_gemma":[0.9942919,0.0015657599,0.0014649938,0.00007699633,0.000056932942,0.000008363387,0.000041937063,0.0000072926855,0.002485739],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99976367,0.00007579132,0.000011639548,0.00005708189,0.000047581445,0.00004427991],"domain_scores_gemma":[0.99704176,0.0017058753,0.0008596122,0.00013619653,0.0001446119,0.000111969406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074623514,0.00030472426,0.0003045407,0.00040433364,0.0002917036,0.0017524894,0.0003554659,0.0008994421,0.002376214],"category_scores_gemma":[0.0066272076,0.0001771673,0.0002650172,0.0006405779,0.0008153154,0.0020643098,0.00072002,0.0010416713,0.00023855035],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020583069,0.0001803194,0.055428587,0.000112809146,0.00010666711,0.0005101355,0.0004225267,0.081860274,0.0024139842,0.8286309,0.0009895436,0.02913853],"study_design_scores_gemma":[0.00003418258,0.000119246004,0.030481044,0.00008664591,0.000062614025,0.00037148368,0.00029830285,0.16603322,0.0017539533,0.7952374,0.0054724654,0.000049431772],"about_ca_topic_score_codex":0.0012987402,"about_ca_topic_score_gemma":0.00068563345,"teacher_disagreement_score":0.002376214,"about_ca_system_score_codex":0.0011619809,"about_ca_system_score_gemma":0.0005581612,"threshold_uncertainty_score":0.008430779},"labels":[],"label_agreement":null},{"id":"W1993021208","doi":"10.2139/ssrn.2081798","title":"Capacity Effects and Winner Fund Performance: The Relevance and Interactions of Fund and Family Characteristics","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Relevance (law); Target date fund; Sovereign wealth fund; Income fund; Business; Economics; Fund administration; Actuarial science; Investment fund; Open-end fund; Finance; Political science; Institutional investor; Microeconomics; Corporate governance; Law; Incentive","score_opus":0.028407276092685327,"score_gpt":0.2194245495475523,"score_spread":0.19101727345486696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993021208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99676454,0.00033663376,0.0001930508,0.0004735606,0.000014050673,0.0000043824807,0.000104186205,0.000005886282,0.0021038007],"genre_scores_gemma":[0.9993131,0.00004049165,0.000017724176,0.000010857576,0.000013802312,0.0000016052755,0.000033204986,0.0000029761366,0.0005660875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984371,0.0006128885,0.00009917172,0.00016707918,0.00014859907,0.00053521356],"domain_scores_gemma":[0.95535976,0.024615034,0.008841823,0.0015372904,0.00090044574,0.008745737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038235625,0.000375362,0.00054912653,0.0010490587,0.0006138936,0.0022536146,0.0010224018,0.0013076427,0.013057935],"category_scores_gemma":[0.02570078,0.0001993722,0.0006760374,0.000884536,0.0014781372,0.0027085494,0.0019002499,0.0010000208,0.000710775],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024936784,0.00042701737,0.9774056,0.000036235568,0.0006338469,0.00077608915,0.00063220004,0.0033044538,0.0004902591,0.004579286,0.00070311304,0.008518173],"study_design_scores_gemma":[0.0001582912,0.00053007994,0.9834658,0.00003575452,0.00056964316,0.000409759,0.0023137764,0.0038206396,0.0005063734,0.0070898854,0.0010566135,0.000043321314],"about_ca_topic_score_codex":0.0075491667,"about_ca_topic_score_gemma":0.008033427,"teacher_disagreement_score":0.013057935,"about_ca_system_score_codex":0.0007851443,"about_ca_system_score_gemma":0.0011090629,"threshold_uncertainty_score":0.04368317},"labels":[],"label_agreement":null},{"id":"W1993131902","doi":"10.1111/1468-036x.00192","title":"Stock Index‐linked Debt and Shareholder Value: Evidence from the Paris Bourse","year":2002,"lang":"en","type":"article","venue":"European Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Issuer; Bond; Debt; Business; Index (typography); Capital market; Bond market index; Bond market; Shareholder value; Financial system; Stock exchange; Shareholder; Stock market; Stock market index; Common stock; Financial economics; Monetary economics; Economics; Finance; Corporate governance","score_opus":0.05701456527844622,"score_gpt":0.20891694818997866,"score_spread":0.15190238291153244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993131902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99503607,0.00090786343,0.00007802361,0.0003535492,0.000007723181,0.0000046519544,0.0002551914,0.00000914048,0.0033477354],"genre_scores_gemma":[0.9979327,0.00035935538,0.000044397788,0.00004697958,0.000022334982,0.000002895232,0.0003417604,0.0000018592465,0.0012477047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995246,0.00020174433,0.000018010744,0.0000691718,0.000107677755,0.000078834426],"domain_scores_gemma":[0.9937761,0.0024446442,0.0023693605,0.0002861961,0.00047856622,0.0006451719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015816973,0.00023488353,0.00022747695,0.0016555216,0.00039137597,0.0013446759,0.00031285494,0.0006436454,0.0044123456],"category_scores_gemma":[0.0052717407,0.0001681553,0.0001806932,0.0012956909,0.00063452387,0.0006505272,0.0004802352,0.00039919026,0.0006597265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006606825,0.00032128973,0.97312874,0.000030355995,0.00015574832,0.0005248446,0.0019528585,0.0007808044,0.00047956608,0.0023213602,0.0028405725,0.01680322],"study_design_scores_gemma":[0.00003863512,0.00013775523,0.9953537,0.000022583752,0.000027122585,0.000103638864,0.000756373,0.00057177286,0.00017247193,0.00025216216,0.0025535526,0.000010145491],"about_ca_topic_score_codex":0.06528286,"about_ca_topic_score_gemma":0.05402418,"teacher_disagreement_score":0.06528286,"about_ca_system_score_codex":0.0016507682,"about_ca_system_score_gemma":0.00049391657,"threshold_uncertainty_score":0.12980574},"labels":[],"label_agreement":null},{"id":"W1993645729","doi":"10.1080/14697688.2014.917806","title":"Pairs trading: optimal thresholds and profitability","year":2014,"lang":"en","type":"article","venue":"Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Profitability index; Economics; Econometrics; Financial economics; Pairs trade; Trading strategy; Algorithmic trading; Business; Finance; Alternative trading system","score_opus":0.05209809328001455,"score_gpt":0.2516255745714125,"score_spread":0.19952748129139794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993645729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82289696,0.0016962871,0.09343374,0.002998169,0.00023596127,0.00015149482,0.0006082739,0.0011603239,0.07681882],"genre_scores_gemma":[0.9936615,0.00011479414,0.004036157,0.000057395453,0.000024631672,0.000018046007,0.00007660558,0.00004997744,0.0019609372],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934596,0.00020487944,0.000036196456,0.0001477236,0.000110018125,0.00015508756],"domain_scores_gemma":[0.99508816,0.003142578,0.0004586664,0.00033321817,0.000297194,0.0006801927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013124576,0.00046029035,0.00082437333,0.000751039,0.0004195313,0.0029825894,0.00076148834,0.0012641245,0.013367985],"category_scores_gemma":[0.016742764,0.000397296,0.00025972916,0.00039406045,0.0008956962,0.0034731769,0.0010811574,0.0010513719,0.0014684191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0110067865,0.0018289678,0.02740298,0.00054747926,0.00022340349,0.0009127075,0.00035903335,0.1519595,0.023943081,0.31836662,0.04774486,0.41570452],"study_design_scores_gemma":[0.00052231166,0.0006484683,0.008551415,0.00007603566,0.000087926186,0.0005120496,0.00030331968,0.5703625,0.008873788,0.40723455,0.0027520363,0.00007559231],"about_ca_topic_score_codex":0.0011530152,"about_ca_topic_score_gemma":0.0009704078,"teacher_disagreement_score":0.013367985,"about_ca_system_score_codex":0.0008747618,"about_ca_system_score_gemma":0.00086878485,"threshold_uncertainty_score":0.04472035},"labels":[],"label_agreement":null},{"id":"W1993932795","doi":"10.2139/ssrn.685481","title":"Cointegration Analysis of the Fed Model","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cointegration; Econometrics; Predictive power; Economics; Equity (law); Yield (engineering); Bond; Linear model; Financial economics; Mathematics; Statistics; Finance","score_opus":0.0156636540313962,"score_gpt":0.20745871493419293,"score_spread":0.19179506090279674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993932795","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35660955,0.0031480691,0.5913567,0.00409361,0.0003554832,0.000052709373,0.0007933215,0.0009756895,0.042614873],"genre_scores_gemma":[0.97097933,0.0009948725,0.008833168,0.00013310739,0.00015605299,0.00004542389,0.0004012333,0.0001274529,0.018329361],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956757,0.00023191131,0.000022165617,0.000058190035,0.000053889096,0.00006634024],"domain_scores_gemma":[0.9982407,0.0010913991,0.00018213158,0.00015661797,0.0002456867,0.00008338575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012617037,0.00051704276,0.0012757417,0.001223676,0.0005332451,0.0016470647,0.0006968952,0.0014055483,0.0107441805],"category_scores_gemma":[0.006768135,0.00037776268,0.0007694106,0.0013443065,0.00074652606,0.002106825,0.00091225724,0.0014815863,0.0012508901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014551553,0.000074682066,0.001962589,0.00007531829,0.00012653839,0.00032548505,0.0002221877,0.38048694,0.001383927,0.5956782,0.004903645,0.014614871],"study_design_scores_gemma":[0.000019400251,0.000016224718,0.0004645511,0.000010570743,0.000031157622,0.00002660563,0.000026601774,0.93270004,0.0002312438,0.06549342,0.00096733856,0.000012851038],"about_ca_topic_score_codex":0.009521794,"about_ca_topic_score_gemma":0.0050085136,"teacher_disagreement_score":0.0107441805,"about_ca_system_score_codex":0.0007486513,"about_ca_system_score_gemma":0.0009921707,"threshold_uncertainty_score":0.035942852},"labels":[],"label_agreement":null},{"id":"W1994381039","doi":"10.2139/ssrn.289549","title":"Variable Annuities versus Mutual Funds: A Monte Carlo Analysis of the Options","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Monte Carlo method; Actuarial science; Econometrics; Variable (mathematics); Economics; Business; Statistics; Mathematics","score_opus":0.02247781294411738,"score_gpt":0.2137728436235594,"score_spread":0.191295030679442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994381039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6801787,0.0033119489,0.29292044,0.0033462758,0.00015282826,0.00011592627,0.00040166164,0.0002925512,0.019279635],"genre_scores_gemma":[0.9762573,0.00083260966,0.017018441,0.00017069376,0.000101821744,0.00007066728,0.00016149542,0.00011178068,0.0052750977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986034,0.0009336699,0.000031050677,0.00013170078,0.00012294714,0.0001771905],"domain_scores_gemma":[0.9582014,0.0380875,0.0013936209,0.0006761655,0.0008156552,0.00082549464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066381944,0.00076894334,0.0023933914,0.0016603345,0.0011257747,0.0036105402,0.0026087936,0.0033926244,0.0077695926],"category_scores_gemma":[0.029904857,0.0014279907,0.0016773294,0.0016168755,0.0026910421,0.0048482893,0.0012944038,0.003201007,0.00031849806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016913838,0.000051349438,0.0012192664,0.000025382678,0.000048940346,0.00009945087,0.00007199063,0.8861911,0.00015574123,0.10931233,0.00068016927,0.0019750705],"study_design_scores_gemma":[0.000019745461,0.0000103361235,0.00015140737,0.000006596686,0.000016697297,0.000015909576,0.000015364736,0.9873647,0.000052220596,0.012241621,0.00009644729,0.000008956326],"about_ca_topic_score_codex":0.014170434,"about_ca_topic_score_gemma":0.011149075,"teacher_disagreement_score":0.014170434,"about_ca_system_score_codex":0.001835563,"about_ca_system_score_gemma":0.0015726014,"threshold_uncertainty_score":0.0351066},"labels":[],"label_agreement":null},{"id":"W1995449163","doi":"10.1016/j.jfineco.2013.04.002","title":"Undisclosed orders and optimal submission strategies in a limit order market","year":2013,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Tick size; Market liquidity; Order (exchange); Limit (mathematics); Order book; Economics; Business; Microeconomics; Financial economics; Monetary economics; Finance; Mathematics","score_opus":0.015378713506845117,"score_gpt":0.19824920028705792,"score_spread":0.1828704867802128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995449163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.812589,0.0005931908,0.1701014,0.00203765,0.00012708791,0.00010298254,0.00012739151,0.00029254745,0.014028713],"genre_scores_gemma":[0.9826341,0.00024702284,0.010638297,0.00008720362,0.0000810246,0.000046120877,0.00005316222,0.00006138842,0.0061517325],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809533,0.0007990227,0.00020746971,0.00021217777,0.00033918163,0.00034669472],"domain_scores_gemma":[0.96572167,0.021412937,0.004729092,0.0017521295,0.0027512535,0.0036328675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055639246,0.0008095033,0.00237646,0.0011580355,0.0014463925,0.0064633675,0.002439985,0.0028244131,0.0056653237],"category_scores_gemma":[0.038274843,0.0012970602,0.0008252335,0.0010110432,0.0027251174,0.007116204,0.0016701245,0.0026293935,0.0007106237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013974485,0.0008315835,0.0039921226,0.0001981204,0.000104222745,0.0010784555,0.00096554094,0.19764744,0.004319297,0.76071095,0.003221688,0.025533132],"study_design_scores_gemma":[0.00015448165,0.00015563774,0.0005760061,0.00002435032,0.00002942971,0.0001318225,0.00017122764,0.5918102,0.0006967594,0.4058573,0.00034918878,0.000043586682],"about_ca_topic_score_codex":0.0019982052,"about_ca_topic_score_gemma":0.0017402595,"teacher_disagreement_score":0.0064633675,"about_ca_system_score_codex":0.0014644963,"about_ca_system_score_gemma":0.0030884042,"threshold_uncertainty_score":0.029425204},"labels":[],"label_agreement":null},{"id":"W1995642998","doi":"10.1016/j.jfineco.2013.07.006","title":"Do jumps contribute to the dynamics of the equity premium?","year":2013,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; University of Toronto; McMaster University","funders":"","keywords":"Economics; Econometrics; Skewness; Risk premium; Jump; Value premium; Equity premium puzzle; Equity (law); Portfolio; Financial economics; Capital asset pricing model","score_opus":0.021799368870190097,"score_gpt":0.21888384865690277,"score_spread":0.19708447978671267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995642998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96767956,0.0022714373,0.012915263,0.008164169,0.00016851137,0.000014158064,0.00024259297,0.00018444449,0.008359801],"genre_scores_gemma":[0.99659204,0.0006339247,0.00032899436,0.00012830451,0.00014229129,0.0000036067167,0.000038813672,0.000027477958,0.0021044286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997662,0.000043727887,0.000010205133,0.000052187203,0.00003231677,0.00009537432],"domain_scores_gemma":[0.98826677,0.007937799,0.0018524707,0.0004348095,0.00039569757,0.0011124564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016005436,0.00034398097,0.0008362198,0.0010054829,0.0006856387,0.0032917357,0.0013438418,0.0029116673,0.011819284],"category_scores_gemma":[0.01898402,0.0008411158,0.0005674555,0.0006206958,0.0015809663,0.004930795,0.0011663957,0.0031616285,0.0009739951],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001422744,0.0006747633,0.15885746,0.00038817083,0.00038995736,0.0032472922,0.0018237229,0.08024607,0.020923803,0.64609075,0.013022741,0.07291249],"study_design_scores_gemma":[0.0002118062,0.00015317663,0.08906189,0.0000824197,0.00018866472,0.00061613903,0.00071539835,0.42050463,0.0017840336,0.48369783,0.0028088305,0.00017528575],"about_ca_topic_score_codex":0.0037240575,"about_ca_topic_score_gemma":0.0025100198,"teacher_disagreement_score":0.011819284,"about_ca_system_score_codex":0.00059505674,"about_ca_system_score_gemma":0.00046700786,"threshold_uncertainty_score":0.039539397},"labels":[],"label_agreement":null},{"id":"W1996121779","doi":"10.1287/mnsc.2014.1968","title":"Asset Pricing in a Monetary Economy with Heterogeneous Beliefs","year":2014,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Volatility (finance); Monetary policy; Stock (firearms); Monetary economics; Capital asset pricing model; Asset (computer security); Stock market; Inflation (cosmology); Bond; Financial economics; Finance","score_opus":0.013854515547697505,"score_gpt":0.18807323617190994,"score_spread":0.17421872062421243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996121779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87498844,0.001311992,0.11173339,0.003477457,0.000079768935,0.00003280092,0.000159708,0.0000772766,0.008139206],"genre_scores_gemma":[0.99589396,0.00029059252,0.0022643947,0.000093585266,0.00008343181,0.000012867478,0.000029533045,0.000004953773,0.0013266875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983999,0.0007938278,0.00007263104,0.0002860298,0.0001821945,0.00026545045],"domain_scores_gemma":[0.9910182,0.0059554125,0.0018889935,0.00039034,0.00033653184,0.00041045147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041210516,0.00065163296,0.0016940202,0.0007255452,0.0007167336,0.004344471,0.0012630065,0.0026147359,0.0020337831],"category_scores_gemma":[0.01673836,0.00071558525,0.0009424148,0.00076041115,0.002291436,0.0045795036,0.001598216,0.0019842838,0.00023956096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005996897,0.00022138351,0.019542316,0.000117721145,0.00034675281,0.0019643174,0.00073657086,0.43921274,0.002015741,0.52371085,0.0011923763,0.010339482],"study_design_scores_gemma":[0.00011115284,0.00006809863,0.0040627113,0.000014279488,0.00004454031,0.00009387729,0.00017979914,0.8431359,0.00014045984,0.151844,0.00026008702,0.000045084893],"about_ca_topic_score_codex":0.0065988023,"about_ca_topic_score_gemma":0.0026943663,"teacher_disagreement_score":0.0065988023,"about_ca_system_score_codex":0.0014487436,"about_ca_system_score_gemma":0.0005636071,"threshold_uncertainty_score":0.021794438},"labels":[],"label_agreement":null},{"id":"W1996343267","doi":"10.1016/j.qref.2009.05.001","title":"The non-relevance of the elusive holy grail of asset pricing tests: The “true” market portfolio does not alter CAPM validity conclusions","year":2009,"lang":"en","type":"article","venue":"The Quarterly Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Capital asset pricing model; Market portfolio; Economics; Portfolio; Proxy (statistics); Econometrics; Financial economics; Statistics; Mathematics","score_opus":0.02037484634797868,"score_gpt":0.23402976545420104,"score_spread":0.21365491910622236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996343267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3099137,0.007690946,0.3026959,0.16007428,0.007956433,0.00039764564,0.0028167868,0.00094922516,0.20750515],"genre_scores_gemma":[0.9665013,0.00057391584,0.015988898,0.00910764,0.0036966272,0.0001074455,0.00030777563,0.0002402298,0.0034761238],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.954529,0.01935713,0.0039121513,0.008328756,0.0122946855,0.0015782948],"domain_scores_gemma":[0.52168936,0.34140143,0.025695005,0.083133996,0.023725534,0.00435477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.059639297,0.00096254214,0.0023951887,0.0031699815,0.0022188977,0.007093073,0.005280179,0.005728315,0.014749505],"category_scores_gemma":[0.5045317,0.00064807304,0.0018719702,0.0018628538,0.015864668,0.015247455,0.005359324,0.011657361,0.0025441647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011745483,0.00023143472,0.031264227,0.0006159233,0.0009422526,0.0011716397,0.0011767475,0.0044250586,0.0012411405,0.84568137,0.025278993,0.086796604],"study_design_scores_gemma":[0.00013455436,0.000077139885,0.005965356,0.000152358,0.00012072572,0.00023709895,0.0001901796,0.00925612,0.0015818652,0.9767769,0.0054686577,0.000039119295],"about_ca_topic_score_codex":0.0010758502,"about_ca_topic_score_gemma":0.0007051014,"teacher_disagreement_score":0.059639297,"about_ca_system_score_codex":0.0018577186,"about_ca_system_score_gemma":0.0028907037,"threshold_uncertainty_score":0.3154065},"labels":[],"label_agreement":null},{"id":"W1997011126","doi":"10.2139/ssrn.589622","title":"Competition in the Market for Nasdaq Securities","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Competition (biology); Business; Third market; Investment banking; Financial economics; Financial system; Monetary economics; Economics","score_opus":0.0149776444352986,"score_gpt":0.21773939140600682,"score_spread":0.20276174697070823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997011126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9115178,0.001116317,0.002209608,0.007480891,0.000100252975,0.00003620124,0.00036278885,0.00004437335,0.077131644],"genre_scores_gemma":[0.995675,0.00013385703,0.0001555877,0.00017839136,0.000044003624,0.000006755457,0.00007449107,0.000005836901,0.0037260635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986237,0.00047931596,0.000061634986,0.00015998368,0.00032204407,0.00035331288],"domain_scores_gemma":[0.99313676,0.003967416,0.0009972309,0.0001428609,0.0006549162,0.0011007786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003053787,0.0002771687,0.0010119978,0.0010485471,0.0016662427,0.0069157253,0.0009289056,0.0038094725,0.018852957],"category_scores_gemma":[0.011325515,0.00034585362,0.0005584235,0.0011221231,0.0015877405,0.003888183,0.0011108298,0.0018641745,0.0013511087],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003968472,0.0010944415,0.06502377,0.0002475164,0.00018336864,0.0017024195,0.0012851366,0.02817196,0.005472057,0.82315016,0.037959937,0.031740807],"study_design_scores_gemma":[0.001512403,0.0008113902,0.14314231,0.00010396154,0.00020467308,0.0006999562,0.0046187704,0.17702898,0.0020140992,0.6461643,0.023429867,0.00026926922],"about_ca_topic_score_codex":0.01789669,"about_ca_topic_score_gemma":0.027696222,"teacher_disagreement_score":0.018852957,"about_ca_system_score_codex":0.003949828,"about_ca_system_score_gemma":0.002681066,"threshold_uncertainty_score":0.0630694},"labels":[],"label_agreement":null},{"id":"W1997233418","doi":"10.1007/s11146-011-9352-x","title":"An Empirical Investigation of Herding Behavior in the U.S. REIT Market","year":2011,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Real estate investment trust; Herding; Herd behavior; Equity (law); Financial economics; Business; Herd; Monetary economics; Financial crisis; Economics; Finance; Real estate; Geography","score_opus":0.06344942492546427,"score_gpt":0.25053838884155505,"score_spread":0.18708896391609078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997233418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99884355,0.000051366205,0.000082425126,0.00010683515,0.0000017409607,0.000005304956,0.00008896292,0.0000038042617,0.0008159509],"genre_scores_gemma":[0.99910766,0.000049415183,0.00008379241,0.000033457804,0.000004407167,0.0000043176938,0.00016850898,0.000002323289,0.0005461245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975795,0.000076723125,0.00001568426,0.000039520506,0.00004420282,0.00006590612],"domain_scores_gemma":[0.99597824,0.0015503844,0.0015865326,0.00023430154,0.0002904401,0.0003600766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010478946,0.00017084362,0.0002783556,0.00082606403,0.0006549887,0.0009229875,0.00045504625,0.0007592584,0.0036615457],"category_scores_gemma":[0.004308023,0.0001502334,0.00020037421,0.0010904399,0.00045383614,0.0013807596,0.00045842276,0.00081560726,0.0006333397],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002495195,0.00059667736,0.97431594,0.000022354085,0.00010952061,0.00029127699,0.0026723712,0.0021905364,0.0010034651,0.0025846732,0.0028745688,0.013089158],"study_design_scores_gemma":[0.000024602918,0.00019997652,0.96718585,0.000017460312,0.000048658014,0.00012965476,0.005848216,0.023824941,0.00027201266,0.0007003751,0.0017310183,0.00001725467],"about_ca_topic_score_codex":0.04255687,"about_ca_topic_score_gemma":0.07204144,"teacher_disagreement_score":0.04255687,"about_ca_system_score_codex":0.0007118498,"about_ca_system_score_gemma":0.00037839956,"threshold_uncertainty_score":0.08461833},"labels":[],"label_agreement":null},{"id":"W1997659294","doi":"10.1111/1911-3846.12090","title":"Trading Behavior Prior to Public Release of Analyst Reports: Evidence from Korea","year":2014,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information leakage; Business; Earnings; Leakage (economics); Public information; Monetary economics; Accounting; Economics; Public relations; Political science","score_opus":0.16436221261183737,"score_gpt":0.32407812903239114,"score_spread":0.15971591642055377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997659294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984604,0.00007245832,0.00010467406,0.00005280401,0.000002736278,0.000009062427,0.00057738303,0.0000067172086,0.00071381003],"genre_scores_gemma":[0.99868566,0.00009221193,0.0001230301,0.000024300432,0.000008952188,0.0000046208747,0.0007585754,0.0000032454602,0.0002994324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990814,0.00021167114,0.00017456867,0.00015006856,0.00024839054,0.00013386113],"domain_scores_gemma":[0.964796,0.0069357664,0.022350512,0.0024313799,0.0025749402,0.00091138243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015683994,0.00021325852,0.000271052,0.001077963,0.0002420396,0.0012393036,0.00038100648,0.0005038182,0.002012379],"category_scores_gemma":[0.0108979065,0.00024354429,0.00025812353,0.0015666897,0.00030948105,0.0010359688,0.00061955606,0.00063841365,0.00054897193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029527524,0.00015815257,0.9898344,0.00004383483,0.00006959938,0.00025309421,0.0006724732,0.0001414528,0.0007794947,0.00008671676,0.00035343328,0.0073121656],"study_design_scores_gemma":[0.000009456864,0.00014043806,0.9964024,0.000017143859,0.0000431344,0.0002179487,0.00094913796,0.00061768416,0.0009637524,0.000047317928,0.0005780887,0.000013508469],"about_ca_topic_score_codex":0.0062770126,"about_ca_topic_score_gemma":0.0067505282,"teacher_disagreement_score":0.0062770126,"about_ca_system_score_codex":0.00035030948,"about_ca_system_score_gemma":0.00037035992,"threshold_uncertainty_score":0.012480974},"labels":[],"label_agreement":null},{"id":"W1998018626","doi":"10.1108/eb028774","title":"PORTFOLIO DIVERSIFICATION FOR LONG HOLDING PERIODS: HOW MANY STOCKS DO INVESTORS NEED?","year":2003,"lang":"en","type":"article","venue":"Studies in Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Diversification (marketing strategy); Economics; Stock (firearms); Portfolio; Financial economics; Monetary economics; Finance; Business; Geography","score_opus":0.05936177307553146,"score_gpt":0.245297363891486,"score_spread":0.1859355908159545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998018626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8993579,0.015644435,0.03393858,0.02462944,0.00015274201,0.00013055163,0.0007715096,0.00020187478,0.025173003],"genre_scores_gemma":[0.986521,0.004115106,0.0071654073,0.00062411965,0.00019505303,0.000035859575,0.00023413126,0.000019854957,0.0010895173],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960595,0.00010142575,0.00003939075,0.000044557182,0.00013289764,0.00007583517],"domain_scores_gemma":[0.99377304,0.0029190187,0.0016260984,0.00033570972,0.0005857082,0.0007604519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019718318,0.00045653255,0.0009818526,0.0008091966,0.00043077796,0.0015807465,0.0004768173,0.0009784997,0.0050497605],"category_scores_gemma":[0.019989079,0.00023522731,0.00032506094,0.0008340537,0.0005358298,0.00693272,0.0009587877,0.00069903536,0.000922464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006332744,0.0002921492,0.29606128,0.00045361937,0.00024196607,0.0007059423,0.0008831637,0.0117218355,0.0056451284,0.02190145,0.010759111,0.65070105],"study_design_scores_gemma":[0.0003447985,0.0012740882,0.5781665,0.0009103328,0.00044110307,0.0036796364,0.006527688,0.07356957,0.0055593764,0.30000103,0.029360222,0.00016561025],"about_ca_topic_score_codex":0.0012961779,"about_ca_topic_score_gemma":0.00185342,"teacher_disagreement_score":0.0050497605,"about_ca_system_score_codex":0.0005041778,"about_ca_system_score_gemma":0.00051557296,"threshold_uncertainty_score":0.016893148},"labels":[],"label_agreement":null},{"id":"W1998182388","doi":"10.1142/s2010139215500160","title":"Uninformed Trading and Information Uncertainty in the Post-IPO Market","year":2015,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Initial public offering; Adverse selection; Market liquidity; Order (exchange); Business; Price discovery; Information asymmetry; Monetary economics; High-frequency trading; Market microstructure; Secondary market; Financial economics; Economics; Finance","score_opus":0.021559601675638907,"score_gpt":0.20867172949464147,"score_spread":0.18711212781900255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998182388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966454,0.00009533946,0.0015441652,0.00020578798,0.0000036553554,0.000008393855,0.000041869967,0.000013599516,0.0014416934],"genre_scores_gemma":[0.99960357,0.000036364345,0.00014875394,0.000015088559,0.000010984291,0.0000020174891,0.000023033956,0.0000018739686,0.00015835589],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905986,0.00017393377,0.00009935942,0.00011353557,0.00037605077,0.00017720557],"domain_scores_gemma":[0.9320889,0.03457464,0.02661873,0.003215657,0.0015451156,0.0019570035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025703693,0.00020064991,0.00064659386,0.00087048346,0.00045223846,0.0029829366,0.00043992454,0.0010887702,0.002778312],"category_scores_gemma":[0.03030509,0.0002980272,0.000419927,0.0007072213,0.0012982986,0.003007341,0.0011175883,0.001713952,0.00019964154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024508683,0.0014135828,0.86153585,0.0001228282,0.00027140064,0.0028720994,0.0014308501,0.037918888,0.013717866,0.036141686,0.00072624,0.041397896],"study_design_scores_gemma":[0.000051665378,0.00054414675,0.87540144,0.000023154891,0.000105450046,0.00073925377,0.0006121272,0.0685411,0.003476798,0.04988216,0.0005283566,0.00009434649],"about_ca_topic_score_codex":0.001603109,"about_ca_topic_score_gemma":0.0015143068,"teacher_disagreement_score":0.0029829366,"about_ca_system_score_codex":0.0006918108,"about_ca_system_score_gemma":0.00064201636,"threshold_uncertainty_score":0.013593614},"labels":[],"label_agreement":null},{"id":"W1998434452","doi":"10.1016/j.iref.2009.02.003","title":"Is there any common knowledge news in the Euro/Dollar market?","year":2009,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Pittsburg State University; Brock University","keywords":"Liberian dollar; Us dollar; Business; Exchange rate; Monetary economics; Economics; Advertising; Finance","score_opus":0.039551403956330076,"score_gpt":0.27078286902373955,"score_spread":0.23123146506740946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998434452","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18799251,0.21708462,0.010054037,0.38061658,0.013756126,0.00004617651,0.00415081,0.0002798337,0.18601935],"genre_scores_gemma":[0.8490789,0.087620676,0.0013621441,0.0235012,0.024808181,0.000024538922,0.0012341876,0.00010012687,0.012270094],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982969,0.00039197927,0.00012854594,0.00022886964,0.00071018457,0.00024345904],"domain_scores_gemma":[0.96557873,0.020625418,0.007664211,0.0016910987,0.003324429,0.0011161251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031874962,0.00027692382,0.0006953179,0.0035148454,0.00089829956,0.0077906176,0.00072455505,0.004380903,0.007865893],"category_scores_gemma":[0.03700722,0.0002998807,0.00037350564,0.00421994,0.0026590265,0.012382058,0.0013616729,0.0031529043,0.0016192109],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012951635,0.00023906387,0.044856425,0.0019984175,0.00043963653,0.0028329752,0.003409769,0.00206043,0.0014997261,0.28604952,0.27648687,0.378832],"study_design_scores_gemma":[0.00010926533,0.0001545032,0.10611084,0.0033532286,0.0005234313,0.0019346405,0.0077646314,0.003580816,0.0034067538,0.3480861,0.52476716,0.0002086568],"about_ca_topic_score_codex":0.002378918,"about_ca_topic_score_gemma":0.0018719593,"teacher_disagreement_score":0.007865893,"about_ca_system_score_codex":0.0013577124,"about_ca_system_score_gemma":0.0009086161,"threshold_uncertainty_score":0.02631408},"labels":[],"label_agreement":null},{"id":"W1998435883","doi":"10.3917/rhsh.020.0079","title":"The Cowles Commission and Foundation on the Functioning of Financial Markets from Irving Fisher and Alfred Cowles to Harry Markowitz and James Tobin","year":2009,"lang":"en","type":"article","venue":"Revue d Histoire des Sciences Humaines","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Commission; Management; Law and economics; Humanities; Economics; Political science; Philosophy; Law","score_opus":0.04306173284456826,"score_gpt":0.2197620066800489,"score_spread":0.17670027383548062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998435883","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029876316,0.14748093,0.0027900916,0.2745095,0.019317072,0.00008668551,0.001500284,0.0002899701,0.5510378],"genre_scores_gemma":[0.029268129,0.06369131,0.0023916555,0.009578582,0.0030816065,0.00007077737,0.0005189116,0.00014981854,0.8912491],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986216,0.00025477257,0.000053356598,0.0001866537,0.00064790354,0.00023569893],"domain_scores_gemma":[0.9947413,0.0010595141,0.00044755943,0.0004220155,0.00226132,0.0010682492],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002378222,0.0007976544,0.0005656955,0.0030377067,0.0018380134,0.0058056363,0.0007253364,0.0033054529,0.06836102],"category_scores_gemma":[0.01054606,0.00042798257,0.00030763628,0.002224935,0.0020741492,0.0035848713,0.0026450194,0.0028150198,0.015003652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020955684,0.0000092451255,0.00028742314,0.000051625102,0.000004575041,0.000037166155,0.0001356151,0.00009021481,0.00004999908,0.099264555,0.8568438,0.0432048],"study_design_scores_gemma":[0.000002835524,0.000003824759,0.0005171044,0.00013238261,0.0000013360043,0.000019489804,0.00007450181,0.00002932023,0.000029727164,0.0072958604,0.991888,0.0000055914948],"about_ca_topic_score_codex":0.056987528,"about_ca_topic_score_gemma":0.065895155,"teacher_disagreement_score":0.998162,"about_ca_system_score_codex":0.005946856,"about_ca_system_score_gemma":0.010564591,"threshold_uncertainty_score":0.22869039},"labels":[],"label_agreement":null},{"id":"W1998615421","doi":"10.2139/ssrn.1498514","title":"Order Book Resilience, Price Manipulation, and the Positive Portfolio Problem","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Resilience (materials science); Order (exchange); Portfolio; Computer science; Economics; Financial economics; Mathematical economics; Business; Finance","score_opus":0.013124941532695266,"score_gpt":0.1890144808003895,"score_spread":0.1758895392676942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998615421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87113476,0.0015839429,0.082312085,0.008624102,0.00013609065,0.000039680057,0.0001606978,0.0002424836,0.035766214],"genre_scores_gemma":[0.99574393,0.00021183137,0.0016823821,0.00008698658,0.00006120067,0.000008870964,0.000023280625,0.000011998957,0.002169521],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996107,0.00013669064,0.000023308665,0.00007030087,0.00009232912,0.00006657381],"domain_scores_gemma":[0.99206793,0.0045180838,0.002022353,0.00067245646,0.000225008,0.00049419043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012899683,0.00030951735,0.00059005007,0.0006561896,0.0005345846,0.0017562923,0.00065126136,0.001241892,0.005953292],"category_scores_gemma":[0.017546706,0.00022202903,0.0003084651,0.00052301615,0.001695449,0.0036973695,0.0010952401,0.0014030734,0.00026274737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038917782,0.00020201622,0.007394265,0.0001189552,0.00009974469,0.0011840644,0.0003237688,0.08422224,0.004795827,0.84823394,0.0067097843,0.046326205],"study_design_scores_gemma":[0.000063398074,0.00007246552,0.002955081,0.000014661986,0.000022515967,0.00036132798,0.0000767577,0.13274111,0.00081223354,0.861719,0.001138811,0.000022814296],"about_ca_topic_score_codex":0.0005446125,"about_ca_topic_score_gemma":0.00030824254,"teacher_disagreement_score":0.005953292,"about_ca_system_score_codex":0.0005093089,"about_ca_system_score_gemma":0.000407264,"threshold_uncertainty_score":0.0199157},"labels":[],"label_agreement":null},{"id":"W1998677683","doi":"10.1111/j.1540-6288.2001.tb00013.x","title":"Market Quote and Spread Component Cost Behavior Around Trading Halts for Stocks Interlisted on the Montreal and Toronto Stock Exchanges","year":2001,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Stock exchange; Open outcry; Business; Stock (firearms); Monetary economics; Order (exchange); Electronic trading; Economics; Financial economics; Algorithmic trading; Alternative trading system; Finance","score_opus":0.07184982095369895,"score_gpt":0.27073850980579905,"score_spread":0.1988886888521001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998677683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999019,0.00007500474,0.000067470755,0.000029431523,0.0000018092325,0.0000038524477,0.00030888818,0.0000049706873,0.0004895727],"genre_scores_gemma":[0.99863607,0.000051874944,0.00006613093,0.0000050786057,0.0000071762097,0.0000032913915,0.0006406119,0.000002519841,0.0005872932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996867,0.000045017994,0.000023510967,0.00003178244,0.00017457636,0.000038405044],"domain_scores_gemma":[0.9905889,0.0033781475,0.0032923012,0.00033138806,0.0018888327,0.0005205031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006699587,0.00018335119,0.0002620926,0.0015942537,0.00018463082,0.00088905817,0.00022614484,0.0002659654,0.0026073908],"category_scores_gemma":[0.009481611,0.00011855396,0.00021820504,0.0014892948,0.0002143706,0.00041299433,0.00024680895,0.00031257828,0.00024447465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008250286,0.00007344274,0.9768345,0.000037114227,0.00021014294,0.00022837837,0.00029166834,0.0050739106,0.0036417313,0.0002905196,0.00083456986,0.011658993],"study_design_scores_gemma":[0.00000479661,0.00002851806,0.99734616,0.0000015404092,0.000015363652,0.00001771669,0.00007785819,0.0020547763,0.00027361323,0.000041265244,0.00013256128,0.000005785066],"about_ca_topic_score_codex":0.109794386,"about_ca_topic_score_gemma":0.14974485,"teacher_disagreement_score":0.8902056,"about_ca_system_score_codex":0.0012330525,"about_ca_system_score_gemma":0.0003737361,"threshold_uncertainty_score":0.2183106},"labels":[],"label_agreement":null},{"id":"W1998780977","doi":"10.1016/j.ememar.2015.01.002","title":"Exchange risk premia and firm characteristics","year":2015,"lang":"en","type":"article","venue":"Emerging Markets Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; Hanyang University","keywords":"Risk premium; Business; Monetary economics; Economics; Financial economics","score_opus":0.04436898360860532,"score_gpt":0.24347951552613034,"score_spread":0.19911053191752504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998780977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9175568,0.061774276,0.002339833,0.004632432,0.00015946636,0.000019762232,0.0008684448,0.000018624733,0.012630333],"genre_scores_gemma":[0.97566086,0.021889102,0.00027487238,0.000111986206,0.00039350262,0.0000043664527,0.00047380134,0.000004225924,0.0011873808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987936,0.000033736156,0.00001679803,0.000019806077,0.000026742093,0.000023599163],"domain_scores_gemma":[0.99342334,0.0027973421,0.002887585,0.00019384689,0.0003401853,0.000357639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010503372,0.0001562865,0.0002698458,0.0012055971,0.00011014701,0.0012460301,0.0001743045,0.00047809127,0.0023514682],"category_scores_gemma":[0.0048883785,0.000107653716,0.00024079619,0.001895662,0.0003166847,0.0012551444,0.00029194678,0.0008842356,0.00023329949],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057893805,0.00025606027,0.83954906,0.00024642464,0.00069016387,0.00066969695,0.00019201198,0.0038503206,0.00066943513,0.031376787,0.0064465245,0.11547459],"study_design_scores_gemma":[0.000045731238,0.00013627979,0.9659485,0.00018128812,0.00027402444,0.0006783568,0.00029100289,0.0038500456,0.00033275213,0.020191703,0.008049519,0.000020666084],"about_ca_topic_score_codex":0.000639714,"about_ca_topic_score_gemma":0.00078813895,"teacher_disagreement_score":0.0023514682,"about_ca_system_score_codex":0.0002539367,"about_ca_system_score_gemma":0.00021666425,"threshold_uncertainty_score":0.007866442},"labels":[],"label_agreement":null},{"id":"W1999019771","doi":"10.3390/jrfm7020067","title":"Refining Our Understanding of Beta through Quantile Regressions","year":2014,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Economics; Stock (firearms); Econometrics; Prospect theory; Quantile; Financial economics; Heteroscedasticity; BETA (programming language); Risk-seeking; Behavioral economics; Stock market; Actuarial science; Microeconomics; Finance; Computer science","score_opus":0.05358691267283004,"score_gpt":0.24402451068373782,"score_spread":0.19043759801090776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999019771","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056816716,0.0047989604,0.9197066,0.0035380828,0.00021768235,0.000034280303,0.00065205223,0.00048208795,0.013753514],"genre_scores_gemma":[0.8531339,0.009195529,0.12747824,0.0014353237,0.00091393484,0.000089108864,0.0010620408,0.00041946923,0.006272454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99739945,0.0011619489,0.0001364731,0.0005732938,0.00046476314,0.00026407803],"domain_scores_gemma":[0.97848403,0.013628011,0.0023274857,0.0031308034,0.0020229896,0.0004067447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010397607,0.001229205,0.0014509776,0.002982778,0.00060723006,0.003968498,0.0023013623,0.00135076,0.0064254296],"category_scores_gemma":[0.06053289,0.0007204576,0.0013329542,0.0037693812,0.0015912903,0.00806108,0.0022376645,0.0050105243,0.0013800306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007806714,0.0001476816,0.058722623,0.00020829303,0.00030255242,0.00024238494,0.00085353194,0.15332392,0.00091441855,0.633825,0.00620831,0.14517324],"study_design_scores_gemma":[0.000025136733,0.000055947374,0.018833827,0.00024737598,0.00007231212,0.00015334165,0.00019920457,0.40249726,0.00064939685,0.56321156,0.013978234,0.000076466175],"about_ca_topic_score_codex":0.014808583,"about_ca_topic_score_gemma":0.0050295494,"teacher_disagreement_score":0.014808583,"about_ca_system_score_codex":0.0013882588,"about_ca_system_score_gemma":0.0014172029,"threshold_uncertainty_score":0.054988503},"labels":[],"label_agreement":null},{"id":"W1999245127","doi":"10.2202/1558-3708.1376","title":"A New Application of Exact Nonparametric Methods to Long-Horizon Predictability Tests","year":2007,"lang":"en","type":"article","venue":"Studies in Nonlinear Dynamics and Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Predictability; Econometrics; Nonparametric statistics; Unit root; Horizon; Inference; Autoregressive model; Estimator; Statistical hypothesis testing; Statistics; Mathematics; Computer science; Artificial intelligence","score_opus":0.04833392276072366,"score_gpt":0.33097877391957103,"score_spread":0.28264485115884735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999245127","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057519497,0.00015688174,0.9922854,0.0001449811,0.000067142966,0.000031723506,0.0000752513,0.0003232793,0.0011634078],"genre_scores_gemma":[0.3499167,0.00039482664,0.6448314,0.0003967112,0.00042967912,0.00034586486,0.00031432367,0.00032128673,0.0030492023],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98946625,0.006595799,0.0005250814,0.0010033408,0.0021185093,0.00029085326],"domain_scores_gemma":[0.92474717,0.05925556,0.003708813,0.008492221,0.0033336799,0.00046247427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011714758,0.00087228947,0.0014564237,0.0027706798,0.000649836,0.0017603559,0.0025305022,0.0016053406,0.004459933],"category_scores_gemma":[0.10751524,0.0005718008,0.0012597919,0.002909531,0.0025697066,0.004110667,0.0029884654,0.0032830206,0.00067678455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002761234,0.00027694227,0.010283356,0.00030832327,0.00039414506,0.0007125443,0.0003939519,0.100832015,0.0042215786,0.3785947,0.0039957347,0.49971062],"study_design_scores_gemma":[0.000074778436,0.00024324197,0.0049046245,0.0000612094,0.0000695765,0.00048416213,0.000067574656,0.5968599,0.0019471768,0.38948476,0.005708242,0.00009474242],"about_ca_topic_score_codex":0.0016005154,"about_ca_topic_score_gemma":0.0017451515,"teacher_disagreement_score":0.011714758,"about_ca_system_score_codex":0.00060460647,"about_ca_system_score_gemma":0.001828003,"threshold_uncertainty_score":0.06195432},"labels":[],"label_agreement":null},{"id":"W2000133784","doi":"10.1002/fut.10041","title":"The effect of multiple listings on the bid–ask spread in option markets: The case of Montreal Exchange","year":2002,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Bid price; Bid–ask spread; Volatility (finance); Financial economics; Ask price; Economics; Business; Econometrics; Monetary economics; Market liquidity; Finance","score_opus":0.018965513564567615,"score_gpt":0.2105652319324401,"score_spread":0.19159971836787248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000133784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99791616,0.00020478055,0.00037970633,0.0003181831,0.000007698728,0.0000059598374,0.00007554059,0.000013168315,0.001078687],"genre_scores_gemma":[0.99943906,0.000043114815,0.00014007102,0.000023581977,0.000018528126,0.0000028030088,0.000058928556,0.0000029393914,0.00027092945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971359,0.0014112454,0.00012790869,0.0003115459,0.00058297714,0.00043046466],"domain_scores_gemma":[0.89130235,0.07872076,0.018503046,0.0038506112,0.003338656,0.004284614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074051726,0.00040109162,0.00071143406,0.0013072765,0.0012276645,0.002630454,0.0009774957,0.0012223794,0.0065876683],"category_scores_gemma":[0.05090496,0.000284458,0.0008192085,0.0012675239,0.0015641259,0.0022232675,0.0014377553,0.0019673018,0.00035237224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059137554,0.0008830726,0.8847372,0.00009754668,0.0010503642,0.0035787967,0.0013718393,0.05227971,0.0063870694,0.006097982,0.001780583,0.035822056],"study_design_scores_gemma":[0.00032845564,0.0010206166,0.89974123,0.000027006394,0.000557854,0.00058780867,0.0015067569,0.08705793,0.0034378078,0.0042043645,0.0013690456,0.00016116469],"about_ca_topic_score_codex":0.053011283,"about_ca_topic_score_gemma":0.060001656,"teacher_disagreement_score":0.9469887,"about_ca_system_score_codex":0.0023008697,"about_ca_system_score_gemma":0.00079813803,"threshold_uncertainty_score":0.10540545},"labels":[],"label_agreement":null},{"id":"W2001490424","doi":"10.2139/ssrn.1364940","title":"Do Subjective Expectations Explain Asset Pricing Puzzles?","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Capital asset pricing model; Economics; Financial economics; Econometrics; Consumption-based capital asset pricing model; Arbitrage pricing theory","score_opus":0.016463486317902835,"score_gpt":0.22756042594055662,"score_spread":0.21109693962265377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001490424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9341871,0.0020975762,0.025576323,0.01422481,0.00028434373,0.00004562086,0.0008517237,0.00017383673,0.022558628],"genre_scores_gemma":[0.9964168,0.00053631316,0.0008612985,0.0005363265,0.00023360667,0.000014751095,0.0002565376,0.000042910633,0.001101325],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995653,0.0001554053,0.000054250548,0.00006879003,0.000087683744,0.00006853675],"domain_scores_gemma":[0.9507515,0.034968432,0.007915844,0.0034332986,0.0017309738,0.0011998082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047402433,0.00052024523,0.0010071698,0.0010898578,0.00036329732,0.003981116,0.0012327741,0.0028717797,0.013039132],"category_scores_gemma":[0.07512692,0.00070042134,0.0006893277,0.0012643527,0.0011417189,0.008233562,0.00095420337,0.0022127735,0.0018656381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002870667,0.0010047237,0.33647636,0.00084551406,0.001087895,0.002433619,0.005085296,0.028894447,0.0032342672,0.45793104,0.019034902,0.14110127],"study_design_scores_gemma":[0.0003449185,0.00012708362,0.14582452,0.00010676417,0.00021707022,0.00054053776,0.0014860112,0.08963656,0.0004553393,0.7571365,0.004008119,0.0001164841],"about_ca_topic_score_codex":0.0016448621,"about_ca_topic_score_gemma":0.0007336218,"teacher_disagreement_score":0.013039132,"about_ca_system_score_codex":0.00038583842,"about_ca_system_score_gemma":0.000327201,"threshold_uncertainty_score":0.04362029},"labels":[],"label_agreement":null},{"id":"W2001954497","doi":"","title":"Idiosyncratic Return Volatility and the Information Quality Underlying Managerial Discretion","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Accrual; Discretion; Volatility (finance); Earnings quality; Earnings; Business cycle; Business; Systematic risk; Earnings management; Economics; Monetary economics; Econometrics; Accounting; Macroeconomics","score_opus":0.04056195356967646,"score_gpt":0.2298176151611397,"score_spread":0.18925566159146323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001954497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973008,0.00030077668,0.0006798999,0.00017776397,0.0000039635215,0.0000040130813,0.00014648776,0.000008565086,0.0013778257],"genre_scores_gemma":[0.99975973,0.000037423255,0.000042102427,0.000007915053,0.000007354311,5.3627656e-7,0.00006273327,0.0000013214116,0.00008080779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925095,0.00012373603,0.00010474035,0.00014490978,0.0002083561,0.00016728397],"domain_scores_gemma":[0.9663979,0.012317735,0.016473183,0.0024101445,0.0012880885,0.0011129674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021680242,0.000117529664,0.00026717415,0.0012194116,0.00018114585,0.0016492963,0.00023865228,0.00046370464,0.0009974522],"category_scores_gemma":[0.020697083,0.00018186044,0.00033503503,0.0012858375,0.0006787514,0.000992278,0.00066191755,0.00064597424,0.00014203961],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002605147,0.000054584405,0.9707163,0.000027081167,0.00020478338,0.00020368527,0.00057439494,0.006100427,0.0014556015,0.002900806,0.0002873313,0.017214486],"study_design_scores_gemma":[0.000006460384,0.000041123865,0.99389124,0.00001031119,0.000023903915,0.00009803465,0.00010118539,0.002614892,0.00032670767,0.0026460954,0.0002236564,0.000016298083],"about_ca_topic_score_codex":0.0034979875,"about_ca_topic_score_gemma":0.0038484896,"teacher_disagreement_score":0.0034979875,"about_ca_system_score_codex":0.0008265797,"about_ca_system_score_gemma":0.0002951529,"threshold_uncertainty_score":0.011465788},"labels":[],"label_agreement":null},{"id":"W2002534298","doi":"10.1080/09638180.2014.921217","title":"Implementability of Trading Strategies Based on Accounting Information: Piotroski (2000) Revisited","year":2014,"lang":"en","type":"article","venue":"European Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Accounting; Inefficiency; Portfolio; Context (archaeology); Accounting information system; Accounting research; Financial statement; Economics; Value (mathematics); Business; Financial economics; Microeconomics; Computer science","score_opus":0.023224094590947035,"score_gpt":0.23337867752655472,"score_spread":0.21015458293560768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002534298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6143405,0.015025608,0.21279706,0.053778123,0.00018650404,0.00030541522,0.00035175643,0.0002284555,0.10298657],"genre_scores_gemma":[0.9840083,0.0018724748,0.011169921,0.0009074012,0.00012404319,0.00007413289,0.000025194846,0.00002019586,0.0017983696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9955153,0.0017325281,0.00036439544,0.0010903418,0.0010620721,0.00023540852],"domain_scores_gemma":[0.94275177,0.041799217,0.007313627,0.0044416157,0.0030041481,0.0006896197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013852922,0.0005808234,0.001225226,0.0029976093,0.0009796619,0.0056423023,0.0018956393,0.0032159048,0.003138629],"category_scores_gemma":[0.061608452,0.00049607543,0.0010909239,0.0025851978,0.007745771,0.013601745,0.0022829042,0.004644854,0.00034302814],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029137696,0.00015468289,0.029554522,0.00023365398,0.00015641791,0.00043405493,0.0020146237,0.0047934335,0.0010734239,0.8262857,0.0011830335,0.13382502],"study_design_scores_gemma":[0.00011074869,0.0001732438,0.041629203,0.0002194096,0.00016290558,0.00069893204,0.0009655339,0.036300875,0.0013793844,0.9105172,0.0077607254,0.000081815146],"about_ca_topic_score_codex":0.0030999074,"about_ca_topic_score_gemma":0.0012535797,"teacher_disagreement_score":0.013852922,"about_ca_system_score_codex":0.002104241,"about_ca_system_score_gemma":0.0017731587,"threshold_uncertainty_score":0.073262155},"labels":[],"label_agreement":null},{"id":"W2002717188","doi":"10.5539/ijef.v6n6p226","title":"The Relationship between IPO Price and Liquidity: Empirical Evidences from Iran","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Initial public offering; Market liquidity; Worry; Information asymmetry; Business; Monetary economics; Stock exchange; Financial economics; Market maker; Public information; Liquidity risk; Stock market; Capital market; Economics; Financial system; Finance","score_opus":0.10324141406606288,"score_gpt":0.28163780947967565,"score_spread":0.17839639541361277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002717188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99579465,0.0011298748,0.00016068357,0.00039022006,0.0000045347506,0.0000067983447,0.00020233521,0.000005132903,0.0023057428],"genre_scores_gemma":[0.99865294,0.0007483987,0.0001264975,0.00005540906,0.000047809255,0.0000032241423,0.0002358345,0.0000023679836,0.00012738342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996227,0.00007729671,0.000050899274,0.00006401807,0.00012824664,0.000056877143],"domain_scores_gemma":[0.9931316,0.0020442249,0.0034875395,0.00024663453,0.00087614916,0.00021378991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011227422,0.00022850189,0.0002674364,0.0017596495,0.00038812347,0.0008804276,0.00040593004,0.0005099533,0.0019003557],"category_scores_gemma":[0.0047599864,0.00017762739,0.0004064061,0.002233037,0.0008901551,0.0006954276,0.0005232779,0.00057451887,0.00029067227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015204935,0.00016974371,0.97683245,0.0001569461,0.00017706036,0.0006449731,0.0018399492,0.00030584566,0.00045577215,0.000865863,0.00097642106,0.017422963],"study_design_scores_gemma":[0.000030640786,0.00006661806,0.9938985,0.000042970198,0.0001734155,0.0005181908,0.0020887593,0.00067495904,0.00024123934,0.00064029964,0.0016111567,0.000013343144],"about_ca_topic_score_codex":0.0089946175,"about_ca_topic_score_gemma":0.007358045,"teacher_disagreement_score":0.0089946175,"about_ca_system_score_codex":0.00041012146,"about_ca_system_score_gemma":0.0006546411,"threshold_uncertainty_score":0.017884493},"labels":[],"label_agreement":null},{"id":"W2003403681","doi":"10.1016/j.ijar.2015.03.006","title":"Performance fees and hedge fund return dynamics","year":2015,"lang":"en","type":"article","venue":"International Journal of Approximate Reasoning","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fondation du Risque","keywords":"Hedge fund; Performance fee; Risk appetite; Portfolio; Returns-based style analysis; Active management; Alternative beta; Rate of return on a portfolio; Hedge accounting; Business; Open-end fund; Financial economics; Economics; Project portfolio management; Econometrics; Modern portfolio theory; Finance; Institutional investor; Risk management; Corporate governance","score_opus":0.04501589293477837,"score_gpt":0.2470579022908965,"score_spread":0.20204200935611813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003403681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89706343,0.0009779277,0.08533275,0.0032503346,0.0001102707,0.000016869615,0.00013290408,0.00014285625,0.012972667],"genre_scores_gemma":[0.9967649,0.000120592085,0.0012831471,0.000024644238,0.000027208429,0.0000024105595,0.000025821815,0.000013367748,0.0017379534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99925214,0.00023154051,0.000054799202,0.00010407117,0.00020610241,0.00015132941],"domain_scores_gemma":[0.9807984,0.014034905,0.0023072602,0.00087259756,0.0012612538,0.0007256163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026904563,0.00035026492,0.00066000386,0.0009886232,0.0005451841,0.003866501,0.0009642636,0.00200501,0.0060387836],"category_scores_gemma":[0.06124409,0.00044277,0.0003810588,0.0007059715,0.001694859,0.0076567642,0.0009953271,0.0020663233,0.00038528323],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004503008,0.00016025313,0.021381252,0.00007536751,0.000054755994,0.00076303206,0.0007001215,0.1935003,0.002302005,0.7435313,0.002972836,0.03410841],"study_design_scores_gemma":[0.00002808933,0.00003557135,0.005274506,0.0000150544465,0.000020746249,0.0002962763,0.00019050915,0.7152698,0.0005481232,0.27758878,0.00070609635,0.000026393775],"about_ca_topic_score_codex":0.0028561836,"about_ca_topic_score_gemma":0.0012610208,"teacher_disagreement_score":0.0060387836,"about_ca_system_score_codex":0.0014170368,"about_ca_system_score_gemma":0.0006342935,"threshold_uncertainty_score":0.020201743},"labels":[],"label_agreement":null},{"id":"W2003447159","doi":"10.2139/ssrn.364101","title":"The Present Value Model of US Stock Prices Redux: A New Testing Strategy and Some Evidence","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs","funders":"","keywords":"Redux; Economics; Stock (firearms); Econometrics; Financial economics; Value (mathematics); Monetary economics; Mathematics; Statistics; Engineering","score_opus":0.06629823163686137,"score_gpt":0.24577917185754722,"score_spread":0.17948094022068584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003447159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6369442,0.0010943755,0.3247542,0.007957129,0.00019822714,0.00009761489,0.0008908784,0.0006424741,0.027420854],"genre_scores_gemma":[0.9830225,0.00037339385,0.008674943,0.00032424473,0.00022186387,0.000054738062,0.00048542622,0.000068653964,0.0067742723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99865866,0.00076640554,0.000060190032,0.00023305092,0.0001697355,0.000111832494],"domain_scores_gemma":[0.98120624,0.015319544,0.001104398,0.001100498,0.00087517436,0.00039412794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055445433,0.0008099739,0.0012115112,0.0012508484,0.00065477646,0.0033577944,0.0032725206,0.0018879367,0.0095141055],"category_scores_gemma":[0.027333265,0.0004689088,0.001154682,0.0008089295,0.0015407901,0.00620476,0.0013535841,0.0024128004,0.0006596495],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004598726,0.00030742143,0.022474986,0.00015242952,0.00028492828,0.00067150756,0.00038575576,0.40008247,0.00073557685,0.5344895,0.006114735,0.033840794],"study_design_scores_gemma":[0.00008721304,0.000084186024,0.0018962686,0.000015876587,0.00004521042,0.00006105099,0.00007306665,0.8731285,0.0002618372,0.12354281,0.0007787026,0.000025207079],"about_ca_topic_score_codex":0.007063137,"about_ca_topic_score_gemma":0.004311004,"teacher_disagreement_score":0.0095141055,"about_ca_system_score_codex":0.0012143662,"about_ca_system_score_gemma":0.00090105133,"threshold_uncertainty_score":0.031827807},"labels":[],"label_agreement":null},{"id":"W2003513334","doi":"10.1016/j.intfin.2006.10.003","title":"Market segmentation and equity valuation: Comparing Canada and the United States","year":2006,"lang":"en","type":"article","venue":"Journal of International Financial Markets Institutions and Money","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Bank of Canada","funders":"","keywords":"Earnings before interest, taxes, depreciation, and amortization; Equity (law); Valuation (finance); Market segmentation; Earnings; Valuation effects; Multiple; Stock exchange; Financial economics; Business; Market value; Profitability index; Economics; Monetary economics; Finance; Marketing","score_opus":0.03602945293327692,"score_gpt":0.24981611294887002,"score_spread":0.2137866600155931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003513334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838198,0.0010471647,0.000115169765,0.0014107969,0.000024971521,0.00001660807,0.001309449,0.0000105171375,0.012245579],"genre_scores_gemma":[0.99663204,0.00041008455,0.00010177532,0.00013487077,0.000011777361,0.0000035491514,0.0010530661,0.000008093203,0.0016448066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994273,0.000039377665,0.000016536163,0.00005535787,0.00019985749,0.00026160965],"domain_scores_gemma":[0.9949302,0.00076374196,0.00062898063,0.00009887552,0.0026978464,0.00088040356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078824785,0.00023963065,0.00045750712,0.002062718,0.0025404415,0.0042891507,0.0010096019,0.00067325437,0.0040296675],"category_scores_gemma":[0.006585135,0.0001766604,0.00045173155,0.0067302184,0.0011802629,0.0011479346,0.0009780634,0.0007865649,0.00023064125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012484861,0.00019517449,0.9134596,0.00007826082,0.00024149354,0.00038052534,0.004291643,0.0029681858,0.00068482215,0.015163807,0.020455806,0.04083214],"study_design_scores_gemma":[0.000046900182,0.000023263021,0.98224694,0.000058075493,0.00010134933,0.000040382776,0.007226262,0.0027119876,0.00029457387,0.0009977649,0.006215351,0.00003715949],"about_ca_topic_score_codex":0.9963989,"about_ca_topic_score_gemma":0.9980122,"teacher_disagreement_score":0.03345792,"about_ca_system_score_codex":0.03345792,"about_ca_system_score_gemma":0.038697205,"threshold_uncertainty_score":0.24275535},"labels":[],"label_agreement":null},{"id":"W2003536095","doi":"10.1080/17446540801949760","title":"Size and stock market integration: a study of Canadian firms","year":2008,"lang":"en","type":"article","venue":"Applied Financial Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Portfolio; Economics; Stock exchange; Stock (firearms); Econometrics; Excess return; Stock market; Latent variable; Financial economics; Market portfolio; Sample (material); Variable (mathematics); Monetary economics; Mathematics; Statistics; Finance; Physics","score_opus":0.02282884395817122,"score_gpt":0.1748044318390948,"score_spread":0.15197558788092358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003536095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99597293,0.0006051077,0.00007876224,0.00024454392,0.0000024172784,0.000012632508,0.0003984605,0.0000036069898,0.0026816255],"genre_scores_gemma":[0.99747014,0.0005390945,0.00010385982,0.000040826762,0.000005234359,0.000003748245,0.00061162317,0.0000030391984,0.0012224335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934345,0.00005781516,0.00002628171,0.00008151456,0.00022454024,0.00026627915],"domain_scores_gemma":[0.99717844,0.00059953757,0.0007893902,0.00014126232,0.00068983156,0.00060151657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010349414,0.00035836248,0.00043229674,0.0024664842,0.0032141306,0.0018235536,0.0007848843,0.00053635304,0.003041394],"category_scores_gemma":[0.0053647743,0.0002725545,0.0005513014,0.0064692674,0.0009106728,0.0010364327,0.00071660243,0.0007365802,0.00019620865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021152948,0.00019520805,0.97375757,0.000041477975,0.00008245828,0.00058625196,0.004160449,0.0011344996,0.00028872312,0.0034087908,0.001151615,0.014981317],"study_design_scores_gemma":[0.000012372826,0.00004512384,0.9926656,0.000015653535,0.000026800368,0.00013332217,0.0027976697,0.0016719406,0.00006649293,0.00023628776,0.002306531,0.000022101884],"about_ca_topic_score_codex":0.98679185,"about_ca_topic_score_gemma":0.9894036,"teacher_disagreement_score":0.97402185,"about_ca_system_score_codex":0.025978139,"about_ca_system_score_gemma":0.013975527,"threshold_uncertainty_score":0.1884855},"labels":[],"label_agreement":null},{"id":"W2004090336","doi":"10.1080/13518470902890758","title":"Diversification benefits for bond portfolios","year":2009,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Diversification (marketing strategy); Bond; Skewness; Issuer; Portfolio; Downside risk; Economics; Financial economics; Stock (firearms); Dispersion (optics); Business; Monetary economics; Econometrics; Finance","score_opus":0.040231468223325635,"score_gpt":0.20967915335141837,"score_spread":0.16944768512809275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004090336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8877338,0.008617887,0.05653221,0.0018042336,0.000091925,0.000067640794,0.00030466513,0.00014629806,0.044701274],"genre_scores_gemma":[0.99348503,0.0011034326,0.0039503067,0.0000721249,0.000053858974,0.000015098778,0.00008478177,0.000011470114,0.0012238786],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927443,0.0002428254,0.000039676423,0.000080212805,0.00024655243,0.00011631604],"domain_scores_gemma":[0.99632335,0.0018127314,0.00063906866,0.00041391706,0.00044475988,0.00036617898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021914209,0.000535303,0.0004694175,0.0011164108,0.00032860806,0.0011648245,0.00025309628,0.00065734604,0.003604408],"category_scores_gemma":[0.010033747,0.00017346705,0.0003445632,0.00063024287,0.0004928558,0.0014314266,0.001330948,0.00072480296,0.00037989178],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020267966,0.0003087563,0.06003455,0.0004494563,0.00042779374,0.0009113924,0.00038661988,0.16908203,0.0439767,0.230254,0.005081497,0.48706046],"study_design_scores_gemma":[0.00026311562,0.002438471,0.10716733,0.00029748786,0.0004390154,0.0031408353,0.00059946347,0.16784355,0.015662663,0.6832604,0.018771166,0.00011646237],"about_ca_topic_score_codex":0.00018232921,"about_ca_topic_score_gemma":0.00024402753,"teacher_disagreement_score":0.003604408,"about_ca_system_score_codex":0.00039892318,"about_ca_system_score_gemma":0.00032469115,"threshold_uncertainty_score":0.01205796},"labels":[],"label_agreement":null},{"id":"W2004167817","doi":"10.1111/1540-5982.00010","title":"Expense ratios of North American mutual funds","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mutual fund; Concurrence; Economics; Welfare economics; Financial economics; Political science; Finance","score_opus":0.11708941257502888,"score_gpt":0.17427322938038406,"score_spread":0.057183816805355184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004167817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97613144,0.00049509335,0.0006543752,0.00045783175,0.000007635565,0.000011675247,0.0004347734,0.000036338355,0.021770727],"genre_scores_gemma":[0.9966967,0.000115093724,0.00016318244,0.00001815763,0.0000064790465,0.00000591758,0.00015448684,0.0000036676047,0.0028362256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928826,0.00013748456,0.000030678122,0.000091974216,0.0003342636,0.00011726192],"domain_scores_gemma":[0.99746096,0.00078023144,0.0010644919,0.00007709338,0.00044862946,0.00016861335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088620547,0.00019440324,0.00022335246,0.0017910753,0.0005005443,0.0019155061,0.00046115968,0.00046119373,0.0045254813],"category_scores_gemma":[0.005375007,0.00018279155,0.00031760658,0.0009708358,0.0004414822,0.0006332678,0.00041183396,0.00026035716,0.00031805533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013126289,0.00023016907,0.55360276,0.0003196401,0.00029249527,0.0016584647,0.003237949,0.12357943,0.009511041,0.18971032,0.018154461,0.09839063],"study_design_scores_gemma":[0.00011773069,0.0002517778,0.760635,0.000111565576,0.00017645699,0.0009803545,0.0034437303,0.1531725,0.0060155685,0.029305365,0.04566809,0.00012179034],"about_ca_topic_score_codex":0.094245434,"about_ca_topic_score_gemma":0.0837217,"teacher_disagreement_score":0.094245434,"about_ca_system_score_codex":0.006177408,"about_ca_system_score_gemma":0.0013831115,"threshold_uncertainty_score":0.18739372},"labels":[],"label_agreement":null},{"id":"W2005014535","doi":"10.1017/s0022109010000700","title":"The Term Structure of Bond Market Liquidity and Its Implications for Expected Bond Returns","year":2010,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Market liquidity; Treasury; Bond; Economics; Monetary economics; Recession; Inflation (cosmology); Bond market; Term (time); Short run; Keynesian economics; Finance","score_opus":0.03070096762915789,"score_gpt":0.2709734629656923,"score_spread":0.24027249533653441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005014535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867721,0.00090011227,0.008132857,0.0009026645,0.000017188228,0.000011904597,0.00043899482,0.000058585974,0.0027654902],"genre_scores_gemma":[0.9989943,0.00015991094,0.00022433166,0.000016545178,0.000023212637,0.000004106502,0.00015062669,0.000007162058,0.0004197409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997348,0.00006581491,0.000028239714,0.00005432623,0.00005577718,0.0000609633],"domain_scores_gemma":[0.9857458,0.007703713,0.0044890344,0.00043014967,0.00089346734,0.0007378906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021018882,0.0002864567,0.00041994345,0.0012430423,0.0002964041,0.0021854255,0.0005960106,0.0009386945,0.002752157],"category_scores_gemma":[0.018860852,0.00034288722,0.00037201867,0.0009095321,0.0008017565,0.0023172915,0.00076365855,0.0013175907,0.00040780765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000867609,0.0002971881,0.63769156,0.00014904843,0.00035355936,0.0017581611,0.00046076695,0.20562027,0.013335655,0.10662233,0.0031152787,0.029728642],"study_design_scores_gemma":[0.00007136298,0.00024058341,0.3249769,0.00006857611,0.00011295662,0.00064848864,0.00026334357,0.56587636,0.0025171267,0.10437644,0.00075012265,0.000097721044],"about_ca_topic_score_codex":0.0032821533,"about_ca_topic_score_gemma":0.0025454478,"teacher_disagreement_score":0.0032821533,"about_ca_system_score_codex":0.0009946423,"about_ca_system_score_gemma":0.00042731664,"threshold_uncertainty_score":0.011115968},"labels":[],"label_agreement":null},{"id":"W2005203616","doi":"10.5267/j.msl.2014.3.018","title":"Stockholder overreaction and mean reversion: Evidence from Tehran Stock Exchange","year":2014,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mean reversion; Stock exchange; Shareholder; Business; Reversion; Stock (firearms); Monetary economics; Econometrics; Financial economics; Economics; Finance; Corporate governance; Chemistry","score_opus":0.03839711681095129,"score_gpt":0.21911693362560736,"score_spread":0.18071981681465607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005203616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986059,0.00034578625,0.00010883112,0.00016215464,0.0000057524185,0.0000035449425,0.00011600567,0.000003362589,0.00064869184],"genre_scores_gemma":[0.9993432,0.00014723514,0.000048082988,0.000026325326,0.000020913874,0.0000011943733,0.00022742567,0.0000010685403,0.00018441956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992955,0.00013441667,0.00008618293,0.00012296699,0.00027262152,0.00008837709],"domain_scores_gemma":[0.9917441,0.001988243,0.004576539,0.0006826194,0.0007134416,0.00029503935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016914103,0.00017523505,0.000337257,0.0010065602,0.00030586842,0.00071989035,0.00045738742,0.0005073623,0.0019568102],"category_scores_gemma":[0.0066529824,0.00010546627,0.0003033208,0.0009499178,0.0005476202,0.00083376595,0.00046434914,0.0005826623,0.0002760026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003108354,0.00008537929,0.98568696,0.000028026401,0.00013447607,0.00039655896,0.0004997457,0.00034305264,0.00036455793,0.00048375223,0.000447355,0.011219412],"study_design_scores_gemma":[0.00001845612,0.000086716806,0.99631566,0.000009105128,0.0000729367,0.00021171944,0.00048573513,0.0011533584,0.0004457896,0.00036359174,0.0008291093,0.000007757724],"about_ca_topic_score_codex":0.006632587,"about_ca_topic_score_gemma":0.005565453,"teacher_disagreement_score":0.006632587,"about_ca_system_score_codex":0.00026803167,"about_ca_system_score_gemma":0.00026498665,"threshold_uncertainty_score":0.0131880045},"labels":[],"label_agreement":null},{"id":"W2005205592","doi":"10.1017/s0266466608090038","title":"COVARIANCE-BASED ORTHOGONALITY TESTS FOR REGRESSORS WITH UNKNOWN PERSISTENCE","year":2009,"lang":"en","type":"article","venue":"Econometric Theory","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Guelph","funders":"","keywords":"Mathematics; Econometrics; Predictability; Statistics; Test statistic; Covariance; Regression analysis; Statistical hypothesis testing","score_opus":0.0571255521389786,"score_gpt":0.23127594792336742,"score_spread":0.17415039578438882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005205592","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1562305,0.00029160167,0.8394182,0.00034936948,0.00008162731,0.00010307506,0.0003014569,0.00038634407,0.002837875],"genre_scores_gemma":[0.9059854,0.00029281143,0.090890266,0.00014831987,0.00025768485,0.0002655487,0.0009463541,0.00014113342,0.0010724156],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98420656,0.008073194,0.0013304728,0.0020350828,0.0037173044,0.0006374264],"domain_scores_gemma":[0.7456756,0.2242552,0.013293192,0.009676206,0.0059625064,0.0011372226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017861238,0.0008583488,0.0014752075,0.003345329,0.00068229996,0.0019079718,0.0015675947,0.0010674929,0.0028464468],"category_scores_gemma":[0.17086272,0.00048838335,0.0015632496,0.00259567,0.002461083,0.0041708127,0.0026408401,0.0027672353,0.00061736273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088618346,0.0006454747,0.22654423,0.00037965554,0.0019462821,0.0009693512,0.00065528566,0.09149886,0.0075147827,0.26640797,0.0024814138,0.40007052],"study_design_scores_gemma":[0.0002603294,0.00079397997,0.052939974,0.00012694037,0.00029668806,0.00066358806,0.0003720278,0.6612107,0.006781462,0.2728785,0.003464924,0.00021086785],"about_ca_topic_score_codex":0.0010888178,"about_ca_topic_score_gemma":0.00073631975,"teacher_disagreement_score":0.017861238,"about_ca_system_score_codex":0.0005962856,"about_ca_system_score_gemma":0.0019914175,"threshold_uncertainty_score":0.09446037},"labels":[],"label_agreement":null},{"id":"W2005243659","doi":"10.1108/03074350910960337","title":"The price, liquidity and information asymmetry changes associated with new S&amp;P 500 additions","year":2009,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Index (typography); Abnormal return; Economics; Econometrics; Value (mathematics); Financial economics; Information asymmetry; Monetary economics; Originality; Event study; Finance; Statistics; Mathematics; Psychology","score_opus":0.018054474383391136,"score_gpt":0.1926396614479717,"score_spread":0.17458518706458057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005243659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969222,0.00012048432,0.00044310009,0.000113280315,0.000008981132,0.000026142308,0.00021783003,0.000017442839,0.0021304747],"genre_scores_gemma":[0.99911195,0.000053902455,0.00024399404,0.000015009927,0.000037293405,0.000009236796,0.00017832899,0.0000031450486,0.00034711004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990722,0.00015078073,0.00014094738,0.00011083551,0.0004210902,0.00010414218],"domain_scores_gemma":[0.9425561,0.022971299,0.02971596,0.0015394287,0.0019659281,0.0012513129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015804545,0.00028298676,0.00034498554,0.0016421637,0.0003197601,0.0018490674,0.00036460013,0.00047582117,0.003577796],"category_scores_gemma":[0.024406258,0.00020526744,0.00033088346,0.0012028425,0.0005985207,0.0014954524,0.0007538735,0.0010812362,0.00035255757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030209315,0.0005740199,0.9333779,0.0001507576,0.00015640739,0.0012577357,0.00046824943,0.0033762367,0.011575681,0.0020695147,0.0007192524,0.04325331],"study_design_scores_gemma":[0.000026744141,0.00037478484,0.98968506,0.000010925468,0.00006188861,0.00026847396,0.00025616548,0.0038022497,0.0039046619,0.0010508298,0.000533771,0.000024531673],"about_ca_topic_score_codex":0.0013030687,"about_ca_topic_score_gemma":0.0017685714,"teacher_disagreement_score":0.003577796,"about_ca_system_score_codex":0.00076818204,"about_ca_system_score_gemma":0.00033691234,"threshold_uncertainty_score":0.011968911},"labels":[],"label_agreement":null},{"id":"W2005329055","doi":"10.4236/jmf.2014.44025","title":"Equity Pricing and Risk Premium under Long-Run Risks and Incomplete Information","year":2014,"lang":"en","type":"article","venue":"Journal of Mathematical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Economics; Econometrics; Equity premium puzzle; Inference; Risk premium; Earnings; Equity (law); Stochastic discount factor; Valuation (finance); Capital asset pricing model; Latent variable; Financial economics; Microeconomics; Computer science; Mathematics; Statistics; Finance","score_opus":0.05144932629310285,"score_gpt":0.2596568205684839,"score_spread":0.20820749427538104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005329055","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20399374,0.0008519052,0.7894018,0.0015983068,0.000058518628,0.00003115239,0.00014076203,0.00011647878,0.0038072884],"genre_scores_gemma":[0.97805804,0.0005779086,0.01785453,0.00009696815,0.00010605525,0.000031551488,0.00009270598,0.00002957164,0.003152609],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990029,0.00033620017,0.000057657493,0.00021089411,0.0002153621,0.00017707619],"domain_scores_gemma":[0.9907171,0.0064906105,0.0013551217,0.0006667639,0.0005024433,0.00026794957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034616778,0.0006190384,0.0012359027,0.00061692216,0.00031319485,0.0019916147,0.0014355452,0.0016928883,0.0022583671],"category_scores_gemma":[0.019252121,0.00052200636,0.001032262,0.0005164406,0.0019252728,0.00597755,0.0013354651,0.0023639975,0.000231701],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057752244,0.000079608304,0.0034821935,0.00008094798,0.00007274311,0.00030663167,0.00026679994,0.25266787,0.0014234765,0.73018503,0.0006079236,0.010768959],"study_design_scores_gemma":[0.000016139993,0.000025735613,0.0013046903,0.000014696443,0.000018550285,0.00007446585,0.000032132633,0.6494489,0.00029296087,0.34841332,0.0003334709,0.000024968325],"about_ca_topic_score_codex":0.0029960675,"about_ca_topic_score_gemma":0.0015605192,"teacher_disagreement_score":0.0034616778,"about_ca_system_score_codex":0.0012480101,"about_ca_system_score_gemma":0.0010106908,"threshold_uncertainty_score":0.018307328},"labels":[],"label_agreement":null},{"id":"W2005956172","doi":"10.1108/03074351311313852","title":"Speed of convergence to market efficiency in the ETFs market","year":2013,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Predictability; Volatility (finance); Financial economics; Order (exchange); Economics; Market efficiency; Price discovery; Econometrics; Market price; Business; Monetary economics; Microeconomics; Finance; Mathematics; Statistics; Futures contract","score_opus":0.017867207269863874,"score_gpt":0.20196740581680578,"score_spread":0.1841001985469419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005956172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98535776,0.00018518232,0.011260609,0.0000946139,0.0000068948084,0.00003511809,0.00008269758,0.000029964423,0.0029470865],"genre_scores_gemma":[0.99788,0.000040432693,0.0017820586,0.000008445969,0.000009395035,0.0000082286,0.000055613833,0.0000073201477,0.00020857347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984464,0.0005010069,0.00016449779,0.00029026874,0.0004454688,0.00015235161],"domain_scores_gemma":[0.9515809,0.03061998,0.010898113,0.0026476863,0.0035289843,0.000724277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044964436,0.00026071238,0.00041790397,0.0022633474,0.0002634269,0.0023108127,0.00042502276,0.0004126679,0.002081851],"category_scores_gemma":[0.045415796,0.00020982928,0.00048024484,0.0010675575,0.0010351316,0.003590421,0.0010611604,0.00085373246,0.00020015273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015590561,0.00029649187,0.7127868,0.0001841613,0.00042298625,0.0005638123,0.0014098064,0.13591148,0.007536164,0.045498755,0.00072382815,0.093106605],"study_design_scores_gemma":[0.000054389053,0.00067249744,0.5942373,0.00005624515,0.000095550306,0.00067921483,0.0009969254,0.36595845,0.009509736,0.025907956,0.0017372195,0.00009452181],"about_ca_topic_score_codex":0.0013382629,"about_ca_topic_score_gemma":0.00048400776,"teacher_disagreement_score":0.0044964436,"about_ca_system_score_codex":0.0008321199,"about_ca_system_score_gemma":0.00047664376,"threshold_uncertainty_score":0.02377975},"labels":[],"label_agreement":null},{"id":"W2006116034","doi":"10.2139/ssrn.1246902","title":"The Demographics of Fund Turnover","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Demographics; Business; Demography; Sociology","score_opus":0.018295502696761914,"score_gpt":0.21428305300590242,"score_spread":0.1959875503091405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006116034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792932,0.0016990488,0.00033409562,0.0044266703,0.000048709397,0.000013849145,0.0012826879,0.000019651194,0.012882083],"genre_scores_gemma":[0.9967668,0.00048490372,0.00006114114,0.00018441679,0.000061510764,0.000008379823,0.0004467984,0.0000093908475,0.0019765852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990615,0.00023669294,0.000078482466,0.0001361216,0.0001870664,0.0003000626],"domain_scores_gemma":[0.99171376,0.0015068504,0.003760805,0.0002615061,0.0014457343,0.0013113029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018310935,0.00007833616,0.00017537194,0.002530891,0.0007310706,0.0026441542,0.00036669755,0.0007895341,0.007677876],"category_scores_gemma":[0.011284206,0.00017942392,0.00015994973,0.001862126,0.0005049844,0.0023517825,0.0009758994,0.0010569164,0.001507501],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039361257,0.00009512189,0.92179316,0.000042686224,0.000034406083,0.00020804685,0.0041516363,0.00033432554,0.0004976915,0.012724104,0.013846571,0.04587875],"study_design_scores_gemma":[0.00000725663,0.000071673385,0.9805295,0.00004377752,0.000005795308,0.00038238624,0.0049464335,0.00066354184,0.00011288676,0.002096836,0.011122886,0.000017131593],"about_ca_topic_score_codex":0.0055264337,"about_ca_topic_score_gemma":0.008739306,"teacher_disagreement_score":0.007677876,"about_ca_system_score_codex":0.0009274159,"about_ca_system_score_gemma":0.00069204485,"threshold_uncertainty_score":0.025685072},"labels":[],"label_agreement":null},{"id":"W2006323680","doi":"10.3390/jrfm7010001","title":"Revisiting the Performance of MACD and RSI Oscillators","year":2014,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Technical analysis; Stock exchange; Index (typography); Stock market index; Composite index; Econometrics; Moving average; Stock (firearms); Financial economics; Economics; Mathematics; Business; Statistics; Computer science; Stock market; Finance; Engineering; Geography","score_opus":0.008944103826167974,"score_gpt":0.17920975499946157,"score_spread":0.1702656511732936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006323680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95187515,0.0029750434,0.006658823,0.0011850903,0.00017065323,0.0000444624,0.00072314654,0.00011979184,0.03624787],"genre_scores_gemma":[0.9971009,0.0003254544,0.0017018198,0.000078688194,0.00006995076,0.0000039849733,0.0001990501,0.000012336239,0.0005078479],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833715,0.00029747473,0.0002097332,0.00027243875,0.00079083483,0.000092328875],"domain_scores_gemma":[0.98241454,0.007635146,0.0034563232,0.0018774372,0.0040628244,0.00055362855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040898677,0.00036063732,0.0003863863,0.0037064955,0.00028207764,0.0028771453,0.0006775293,0.00035268263,0.001159492],"category_scores_gemma":[0.022862006,0.00014241027,0.0004023412,0.002131931,0.0013260134,0.0016229949,0.00097278436,0.0008335503,0.0003618789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029027817,0.00010304813,0.8136176,0.00017637285,0.00032344935,0.0005370134,0.00072356797,0.0091975,0.0043466277,0.019376537,0.0025153582,0.14879264],"study_design_scores_gemma":[0.000058286034,0.00044751226,0.8755957,0.00014791937,0.00019741147,0.0008650505,0.0011540892,0.07543202,0.01030389,0.01930131,0.016351575,0.00014506651],"about_ca_topic_score_codex":0.0061053317,"about_ca_topic_score_gemma":0.004584891,"teacher_disagreement_score":0.0061053317,"about_ca_system_score_codex":0.0010150587,"about_ca_system_score_gemma":0.0005303725,"threshold_uncertainty_score":0.021629512},"labels":[],"label_agreement":null},{"id":"W2006351801","doi":"10.2139/ssrn.1497017","title":"An Analysis of Portfolio Selection with Background Risk","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Selection (genetic algorithm); Portfolio; Modern portfolio theory; Mathematics; Econometrics; Economics; Computer science; Financial economics; Artificial intelligence","score_opus":0.010979900964571243,"score_gpt":0.21806871735097363,"score_spread":0.2070888163864024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006351801","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42340657,0.004378712,0.5405756,0.002648746,0.00022010083,0.00015343154,0.00029725983,0.000537513,0.027781969],"genre_scores_gemma":[0.95557535,0.0014292847,0.02053966,0.0001886288,0.00042108266,0.000060899787,0.0002398257,0.00010424595,0.02144089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986761,0.0006495141,0.00003793316,0.00014962135,0.00028795528,0.00019878303],"domain_scores_gemma":[0.9874194,0.009918905,0.0009594425,0.00047559716,0.0006278709,0.0005987024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046474384,0.0008943711,0.001695985,0.0017201115,0.00052845624,0.002496247,0.0016723967,0.001551206,0.0075439704],"category_scores_gemma":[0.021630278,0.0005790979,0.0009786306,0.0018146641,0.0010485691,0.002415921,0.0013031786,0.0014981747,0.0006156065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005858804,0.00033262835,0.015427775,0.00031576975,0.00041309503,0.0012052523,0.00023898442,0.39261332,0.0033332615,0.49731246,0.007077427,0.08114416],"study_design_scores_gemma":[0.00008544421,0.00014969763,0.0039510983,0.000029983557,0.00010891888,0.00018859291,0.000038004335,0.88924485,0.00053361047,0.104433045,0.0012110063,0.000025713423],"about_ca_topic_score_codex":0.0015252597,"about_ca_topic_score_gemma":0.0009557132,"teacher_disagreement_score":0.0075439704,"about_ca_system_score_codex":0.0009807952,"about_ca_system_score_gemma":0.0008019674,"threshold_uncertainty_score":0.025237143},"labels":[],"label_agreement":null},{"id":"W2006760818","doi":"10.12735/jbm.v2i3p22","title":"Profitability of Applying Simple Moving Average Trading Rules for the Vietnamese Stock Market","year":2013,"lang":"en","type":"article","venue":"Journal of Business & Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vietnamese; Profitability index; Stock market; Simple (philosophy); Financial economics; Stock (firearms); Econometrics; Business; Algorithmic trading; Monetary economics; Economics; Finance; Materials science; Geology","score_opus":0.03151403735700024,"score_gpt":0.22388448204279926,"score_spread":0.19237044468579903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006760818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935175,0.00040736032,0.0043702046,0.00012824104,0.000031955773,0.00002305106,0.00020285601,0.000058040067,0.0012607364],"genre_scores_gemma":[0.9979944,0.00007767866,0.0015713699,0.000011203732,0.000010714499,0.0000033010422,0.00017572529,0.0000033170231,0.0001522279],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892277,0.0002989214,0.00014635608,0.00022809375,0.00028757157,0.00011625715],"domain_scores_gemma":[0.9935575,0.0042079017,0.00087721733,0.00041824338,0.0007457617,0.00019340865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002983541,0.00046200864,0.00051274424,0.0013113243,0.0002834371,0.0010576381,0.00052349194,0.00044052352,0.0006401532],"category_scores_gemma":[0.012751477,0.0001526063,0.0003554183,0.00068659725,0.000260344,0.0011171385,0.0003271673,0.00039703728,0.00014085353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094949396,0.00034707223,0.47238687,0.00012805047,0.00038761817,0.0007955685,0.00015285071,0.293637,0.0038201709,0.002080764,0.0015819144,0.2237327],"study_design_scores_gemma":[0.0000303316,0.00043930032,0.068590604,0.000019717545,0.00010052759,0.00023072326,0.000117867865,0.92467415,0.003752042,0.0014333464,0.00058088714,0.000030480298],"about_ca_topic_score_codex":0.012967029,"about_ca_topic_score_gemma":0.007854852,"teacher_disagreement_score":0.012967029,"about_ca_system_score_codex":0.0006547047,"about_ca_system_score_gemma":0.00070068846,"threshold_uncertainty_score":0.025783062},"labels":[],"label_agreement":null},{"id":"W2006816761","doi":"10.1002/fut.20482","title":"Risk premiums and predictive ability of BAX futures","year":2010,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Futures contract; Risk premium; Economics; Portfolio; Econometrics; Sample (material); Predictive power; Exploit; Financial economics; Actuarial science; Computer science","score_opus":0.007237010695366105,"score_gpt":0.19801263185378046,"score_spread":0.19077562115841434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006816761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921589,0.00014756345,0.0036449893,0.00022696101,0.0000072999233,0.000011863666,0.00026647383,0.00008181505,0.003454146],"genre_scores_gemma":[0.999332,0.000032411142,0.0001457287,0.000004049533,0.0000043159794,8.919285e-7,0.0001013906,0.0000033955657,0.00037580827],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999463,0.00006599163,0.000024139577,0.000076427845,0.00027350007,0.000096784264],"domain_scores_gemma":[0.99177074,0.0041730395,0.0020750808,0.0004984062,0.0010640125,0.00041876567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002679828,0.0004215819,0.000328615,0.0011930685,0.00037951584,0.0017300237,0.0004729245,0.00036690125,0.003738685],"category_scores_gemma":[0.020508464,0.00018259403,0.00038032464,0.0005740667,0.0006205477,0.00094565324,0.0004972623,0.0007508744,0.00031562644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080992107,0.00013631959,0.7035587,0.000080757905,0.00020980554,0.00068961724,0.0013746944,0.17154317,0.0065273694,0.028449519,0.002679605,0.083940536],"study_design_scores_gemma":[0.000025984285,0.00013136269,0.64979786,0.000036295707,0.00007865343,0.00022764572,0.00039625954,0.32503596,0.0034008804,0.018717092,0.0020501749,0.00010180354],"about_ca_topic_score_codex":0.16422749,"about_ca_topic_score_gemma":0.06346121,"teacher_disagreement_score":0.16422749,"about_ca_system_score_codex":0.00191646,"about_ca_system_score_gemma":0.0014223035,"threshold_uncertainty_score":0.32654315},"labels":[],"label_agreement":null},{"id":"W2006985435","doi":"10.1111/j.1540-6261.2011.01663.x","title":"Who Drove and Burst the Tech Bubble?","year":2011,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":300,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Hedge fund; Arbitrage; Business; Institutional investor; Monetary economics; Stock (firearms); Mutual fund; Investment (military); Economics; Financial system; Finance; Corporate governance","score_opus":0.03850306551113932,"score_gpt":0.19591944178005913,"score_spread":0.1574163762689198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006985435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7274424,0.020113353,0.0013567483,0.16887482,0.0018039489,0.00006052129,0.0011918544,0.000066918685,0.079089426],"genre_scores_gemma":[0.97794056,0.0048318785,0.00021740755,0.00715997,0.0012203038,0.00001504192,0.00023222681,0.000028275292,0.008354167],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945587,0.00014457865,0.00004037873,0.00009872673,0.000110728135,0.00014973202],"domain_scores_gemma":[0.99368167,0.0017995127,0.0023225055,0.00015593019,0.0009708855,0.0010696152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017603659,0.00015760974,0.00028615617,0.00082167046,0.0007220942,0.0038488458,0.000326149,0.0025820925,0.007870687],"category_scores_gemma":[0.0126469005,0.00017124058,0.00013463412,0.00066590635,0.0010063463,0.003355124,0.0007100885,0.0020855325,0.001796044],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011780789,0.0002714818,0.5243488,0.00042544425,0.00015839621,0.0035852948,0.00870092,0.0005927107,0.0019206373,0.0670896,0.13882107,0.25290745],"study_design_scores_gemma":[0.00013047151,0.00044616978,0.39772922,0.002222605,0.00019411964,0.0048055686,0.046969566,0.0041235676,0.0046959957,0.05990212,0.4786035,0.00017710008],"about_ca_topic_score_codex":0.009270615,"about_ca_topic_score_gemma":0.009254489,"teacher_disagreement_score":0.009270615,"about_ca_system_score_codex":0.0016863308,"about_ca_system_score_gemma":0.0008690452,"threshold_uncertainty_score":0.026330054},"labels":[],"label_agreement":null},{"id":"W2007189933","doi":"10.1504/ijbaf.2009.027449","title":"Gender differences and factors that affect stock investment decision of Western Canadian investors","year":2009,"lang":"en","type":"article","venue":"International Journal of Behavioural Accounting and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment decisions; Stock (firearms); Investment (military); Feeling; Affect (linguistics); Investment style; Stock market; Open-ended investment company; Perception; Business; Economics; Return on investment; Finance; Behavioral economics; Microeconomics; Psychology; Social psychology; Political science","score_opus":0.07727208225747281,"score_gpt":0.25445068070736465,"score_spread":0.17717859844989184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007189933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980348,0.00011061425,0.000021795015,0.000111325746,0.0000031550728,0.0000029264263,0.000057078956,8.1454175e-7,0.0016574552],"genre_scores_gemma":[0.99851006,0.0001050595,0.00004850715,0.000032995104,0.0000021722133,0.0000014811598,0.000049680675,7.937109e-7,0.001249202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997036,0.000038458726,0.000014776427,0.00003173754,0.000106684914,0.0001047912],"domain_scores_gemma":[0.9985672,0.0003314404,0.00038155032,0.00004326367,0.00032396548,0.00035250772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056273164,0.00016756325,0.0001813185,0.0005111166,0.0009625234,0.0007818744,0.00019935242,0.0002746984,0.003942655],"category_scores_gemma":[0.0030705521,0.00010646004,0.00016222885,0.00049088174,0.00051176135,0.0002519051,0.00024332007,0.00024147003,0.0002797177],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022251389,0.00007319781,0.9784681,0.000016589096,0.000020504716,0.0002836991,0.008062613,0.00008015238,0.0015256789,0.00024203598,0.00046752268,0.0105375],"study_design_scores_gemma":[0.0000035546482,0.00003078568,0.99440926,0.000011173945,0.0000077353525,0.00007819339,0.0044829375,0.00012903202,0.00009908667,0.00005676383,0.0006834783,0.000007948891],"about_ca_topic_score_codex":0.80100894,"about_ca_topic_score_gemma":0.88775927,"teacher_disagreement_score":0.19899106,"about_ca_system_score_codex":0.0029787775,"about_ca_system_score_gemma":0.0023997072,"threshold_uncertainty_score":0.4003259},"labels":[],"label_agreement":null},{"id":"W2007295504","doi":"10.1108/03074350210767825","title":"Analysis of P/E ratios and interest rates","year":2002,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Economics; Treasury; Earnings; Econometrics; Interest rate; Index (typography); Financial economics; Monetary economics; Accounting; Geography","score_opus":0.04340571619195746,"score_gpt":0.2149949171900622,"score_spread":0.17158920099810474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007295504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71100324,0.0052263793,0.053852048,0.001736486,0.00023500447,0.00017343418,0.01262319,0.00085589103,0.21429434],"genre_scores_gemma":[0.982647,0.0010009451,0.0047144806,0.00011831728,0.00010912349,0.000029591509,0.0019800789,0.000050840965,0.0093496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991186,0.00017752554,0.000066908586,0.00016238014,0.00036252494,0.00011200453],"domain_scores_gemma":[0.9943644,0.002754459,0.0013220665,0.00037378288,0.001012144,0.00017315759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001278375,0.00037456542,0.00028858113,0.004185315,0.00030672902,0.0013321101,0.0004531367,0.00028800254,0.008063944],"category_scores_gemma":[0.009497512,0.00014486942,0.00054664735,0.0045858487,0.00038483026,0.0010563517,0.000390457,0.00085074,0.002129128],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031589926,0.000094487,0.7768333,0.00018223982,0.0004103428,0.0007960296,0.00051344384,0.0032540523,0.0024943403,0.036538158,0.008330484,0.17023733],"study_design_scores_gemma":[0.0000123941245,0.00013396305,0.9457318,0.00007878317,0.00008781775,0.0009327692,0.0005732264,0.011498084,0.0046587205,0.008701416,0.027549962,0.000041102554],"about_ca_topic_score_codex":0.029714905,"about_ca_topic_score_gemma":0.016456107,"teacher_disagreement_score":0.029714905,"about_ca_system_score_codex":0.000847529,"about_ca_system_score_gemma":0.000635368,"threshold_uncertainty_score":0.05908388},"labels":[],"label_agreement":null},{"id":"W2007528657","doi":"10.1111/acfi.12030","title":"Does fair value accounting contribute to market price volatility? An experimental approach","year":2013,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Fair value; Volatility (finance); Accounting; Mark-to-market accounting; Economics; Financial economics; Implied volatility; Market value; Earnings; Historical cost; Financial accounting; Volatility smile; Book value; Business; Monetary economics; Accounting information system","score_opus":0.013488697931369961,"score_gpt":0.20825094233890112,"score_spread":0.19476224440753115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007528657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99423414,0.00014194177,0.0015129688,0.0004721996,0.00017585738,0.00047999373,0.000113724105,0.000020614692,0.0028485877],"genre_scores_gemma":[0.9891371,0.00019830915,0.004856145,0.00051431934,0.0002710821,0.0019641155,0.00015607485,0.000019847555,0.0028829537],"study_design_codex":"nonrandomized_trial","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99357235,0.002819506,0.0005231972,0.0012684485,0.0013666081,0.0004499902],"domain_scores_gemma":[0.95404893,0.027332366,0.008676083,0.007482212,0.0009760602,0.0014843055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00781951,0.000993705,0.0011314399,0.00074778986,0.0010422261,0.002899032,0.0013973508,0.0023647973,0.010108392],"category_scores_gemma":[0.03668874,0.0007169969,0.00090722594,0.00042394196,0.0035463078,0.0023608801,0.002052156,0.003416123,0.00074844185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.12894666,0.48879057,0.07011092,0.0015543503,0.0013958727,0.0009370325,0.00889739,0.0027202151,0.1459767,0.059277765,0.0028659715,0.08852666],"study_design_scores_gemma":[0.047659073,0.41368836,0.19278269,0.00061858,0.0030157892,0.0015180894,0.0037776325,0.023593321,0.08542354,0.20640147,0.020736825,0.00078468164],"about_ca_topic_score_codex":0.00045345057,"about_ca_topic_score_gemma":0.00033148588,"teacher_disagreement_score":0.010108392,"about_ca_system_score_codex":0.00052764337,"about_ca_system_score_gemma":0.000768055,"threshold_uncertainty_score":0.041354},"labels":[],"label_agreement":null},{"id":"W2007822415","doi":"10.1016/s1058-3300(02)00043-5","title":"Long‐horizon seasoned equity offerings performance in Pacific Rim markets","year":2002,"lang":"en","type":"article","venue":"Review of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Equity (law); Business; Monetary economics; Information asymmetry; Financial economics; Financial system; Economics; Finance","score_opus":0.0374363078656049,"score_gpt":0.22509934531119194,"score_spread":0.18766303744558704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007822415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991466,0.00009855114,0.000020296682,0.000046708177,0.0000027778744,0.0000028400366,0.00004794377,0.0000021907458,0.0006320782],"genre_scores_gemma":[0.9995053,0.000057310874,0.000011192639,0.0000070403917,0.000006889084,0.0000011051153,0.00007553235,7.0510447e-7,0.00033494222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997625,0.000044432774,0.00001953604,0.00003515968,0.000047167905,0.00009119631],"domain_scores_gemma":[0.99312794,0.001052546,0.0039150766,0.00014133389,0.0004372282,0.0013258801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013534229,0.00016831956,0.00022687242,0.00074168295,0.00032149325,0.001452219,0.00027358992,0.0003847881,0.0030787606],"category_scores_gemma":[0.0044939257,0.00014948961,0.00022635341,0.0006683535,0.00035962174,0.0012975563,0.000754181,0.0006030239,0.000313516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008388714,0.00051662524,0.97761005,0.000048485002,0.00008545393,0.000913015,0.0006662389,0.0011857289,0.0021361762,0.0006981344,0.00088430225,0.014416914],"study_design_scores_gemma":[0.000012715861,0.00024977815,0.9959417,0.000010629659,0.000022644512,0.00011094616,0.00061182736,0.0019904152,0.0004316667,0.00020706766,0.00040075096,0.000009903915],"about_ca_topic_score_codex":0.007922539,"about_ca_topic_score_gemma":0.008585692,"teacher_disagreement_score":0.007922539,"about_ca_system_score_codex":0.0005133841,"about_ca_system_score_gemma":0.00039816578,"threshold_uncertainty_score":0.015752852},"labels":[],"label_agreement":null},{"id":"W2008746337","doi":"10.1111/0022-1082.00230","title":"Demand Curves for Stocks <i>Do</i> Slope Down: New Evidence from an Index Weights Adjustment","year":2000,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":395,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Index (typography); Float (project management); Shareholder; Economics; Stock exchange; Event study; Stock (firearms); Econometrics; Financial economics; Finance; Geography; Corporate governance","score_opus":0.03653901155191955,"score_gpt":0.2452097609033371,"score_spread":0.20867074935141755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008746337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979813,0.00019193355,0.0008696209,0.00055579515,0.000013792842,0.000033927172,0.0013770487,0.0000387697,0.01710607],"genre_scores_gemma":[0.9965006,0.00012496077,0.00018511737,0.00012036964,0.000009062416,0.000006468919,0.00134207,0.000024987961,0.0016863409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996001,0.000055296092,0.00003282249,0.00007202231,0.00017192558,0.0000678684],"domain_scores_gemma":[0.99173355,0.0023328762,0.0019988613,0.0017836014,0.0016180389,0.00053316966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006089842,0.0002824167,0.00029315558,0.0009813275,0.00030437438,0.0012940537,0.0005972582,0.00060846144,0.008519947],"category_scores_gemma":[0.012102408,0.00032661477,0.00045680464,0.0012062537,0.00065963314,0.0007700818,0.00067619816,0.0010809576,0.002525271],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019204527,0.00038278836,0.90796745,0.00013949229,0.00013619756,0.000419849,0.0027977591,0.0040555936,0.013071188,0.0065433183,0.009039579,0.053526323],"study_design_scores_gemma":[0.000033333366,0.00012113238,0.9869413,0.00001760362,0.000026033038,0.00012331424,0.00074428023,0.004024452,0.0011012739,0.0022886724,0.004553351,0.000025291834],"about_ca_topic_score_codex":0.06038039,"about_ca_topic_score_gemma":0.032476943,"teacher_disagreement_score":0.06038039,"about_ca_system_score_codex":0.0012902742,"about_ca_system_score_gemma":0.00036044483,"threshold_uncertainty_score":0.12005788},"labels":[],"label_agreement":null},{"id":"W2008952525","doi":"10.2139/ssrn.1787762","title":"Seasonally Varying Preferences: Theoretical Foundations for an Empirical Regularity","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia; University of Toronto; York University","funders":"","keywords":"Econometrics; Economics; Mathematics; Mathematical economics","score_opus":0.08398130069256764,"score_gpt":0.27765902694176153,"score_spread":0.19367772624919388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008952525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5223728,0.00083114003,0.44572455,0.00502354,0.00013511947,0.00013556218,0.0007665201,0.00028725184,0.024723522],"genre_scores_gemma":[0.9832439,0.0003276376,0.012761567,0.00039044788,0.0001767024,0.00006314883,0.00019946786,0.000038238853,0.0027989326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988381,0.00031441834,0.00008955711,0.00042502017,0.00016951168,0.000163346],"domain_scores_gemma":[0.96316475,0.025829276,0.0036532406,0.0052964278,0.0011675779,0.0008887388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045867087,0.00025255198,0.0009915441,0.0008251954,0.00068594556,0.0018073191,0.0012785358,0.0014548628,0.0124009885],"category_scores_gemma":[0.049992487,0.000449106,0.0011600024,0.0012860947,0.0030700893,0.0036150685,0.0013978886,0.002754663,0.0005997402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015001639,0.00014754561,0.034798782,0.00012472716,0.00013947133,0.0003606784,0.001067404,0.00769229,0.0018558291,0.91771096,0.003113919,0.032838337],"study_design_scores_gemma":[0.000043559674,0.00007010809,0.020988958,0.000022175915,0.00004487641,0.00046816733,0.00047006895,0.044424906,0.00021603773,0.93155986,0.0016599825,0.00003135706],"about_ca_topic_score_codex":0.0018235052,"about_ca_topic_score_gemma":0.0014390429,"teacher_disagreement_score":0.0124009885,"about_ca_system_score_codex":0.00058100553,"about_ca_system_score_gemma":0.0005402466,"threshold_uncertainty_score":0.04148543},"labels":[],"label_agreement":null},{"id":"W2009425207","doi":"10.1016/j.pacfin.2014.07.002","title":"Mispricing of Chinese warrants","year":2014,"lang":"en","type":"article","venue":"Pacific-Basin Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Renmin University of China; Asian Finance Association; Canadian Intensive Care Foundation","keywords":"Warrant; Speculation; Stock (firearms); Business; China; Financial economics; Economics; Price discovery; Monetary economics; Stock market; Chinese market; Finance; Futures contract","score_opus":0.016662268101406027,"score_gpt":0.208530768261712,"score_spread":0.19186850016030596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009425207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860409,0.00066731236,0.0012806983,0.001220268,0.000070678194,0.000022960561,0.00009806204,0.00003878338,0.010560312],"genre_scores_gemma":[0.9986571,0.00009677736,0.00011019811,0.00003781772,0.00003728969,0.0000021438932,0.000019484987,0.000002197543,0.0010370256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984425,0.00023518204,0.00010850895,0.00019857076,0.0007749607,0.00024025553],"domain_scores_gemma":[0.98704535,0.0045635565,0.004288132,0.0009491049,0.0025506434,0.0006032391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024237046,0.00039754342,0.00044732293,0.001388362,0.00076786836,0.0017122158,0.0007749699,0.0010782054,0.0035543717],"category_scores_gemma":[0.019803071,0.0002237519,0.00031483243,0.0009509275,0.00086884113,0.0015733787,0.0005883934,0.00074282,0.00032110483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035871046,0.00072216836,0.55574495,0.0005638802,0.0004915432,0.011563018,0.0036379825,0.06714244,0.01723419,0.15104924,0.02310216,0.16516136],"study_design_scores_gemma":[0.00024073265,0.0012969831,0.44604027,0.00016106709,0.0009465522,0.0027148197,0.0033866062,0.4376529,0.017237734,0.071810424,0.018284937,0.00022705038],"about_ca_topic_score_codex":0.0087943,"about_ca_topic_score_gemma":0.007861004,"teacher_disagreement_score":0.0087943,"about_ca_system_score_codex":0.0024309834,"about_ca_system_score_gemma":0.0015679641,"threshold_uncertainty_score":0.017638147},"labels":[],"label_agreement":null},{"id":"W2010098594","doi":"10.1111/j.1911-3846.2010.01023_6.x","title":"The Effect of Short Selling on Market Reactions to Earnings Announcements","year":2010,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings surprise; Earnings; Post-earnings-announcement drift; Monetary economics; Surprise; Economics; Stock (firearms); Stock price; Event study; Stock market; Financial economics; Short interest ratio; Earnings response coefficient; Finance","score_opus":0.05921725544519596,"score_gpt":0.30959951782675504,"score_spread":0.2503822623815591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010098594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99757797,0.00007820905,0.00020641196,0.00007923956,0.000011747429,0.000008202373,0.00009315782,0.000010011703,0.0019350348],"genre_scores_gemma":[0.9993236,0.00006859216,0.00006707585,0.000035742003,0.000031404557,0.0000027853837,0.00011685525,0.0000055043406,0.00034840102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959785,0.00009143398,0.000047265043,0.00006412524,0.000118895834,0.00008039373],"domain_scores_gemma":[0.97654164,0.013057876,0.007538812,0.0007387015,0.0007470193,0.0013760276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010813645,0.00025270227,0.00036003682,0.00037583645,0.00020366588,0.0012818963,0.00024168426,0.0005523983,0.0057159145],"category_scores_gemma":[0.015705876,0.00021607052,0.00027464548,0.0002641157,0.00030291794,0.0006914641,0.0005223839,0.0010465856,0.00054434163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008949562,0.0013809485,0.84215486,0.00022542108,0.00031467792,0.0015122845,0.00089644594,0.008298213,0.085496426,0.002316924,0.0009875107,0.04746682],"study_design_scores_gemma":[0.000039734896,0.0005951201,0.9926524,0.000007702578,0.000046265217,0.00014032898,0.00021913256,0.0028356996,0.0023471052,0.0007347319,0.00036001144,0.000021809814],"about_ca_topic_score_codex":0.0016832078,"about_ca_topic_score_gemma":0.001547346,"teacher_disagreement_score":0.0057159145,"about_ca_system_score_codex":0.0003755431,"about_ca_system_score_gemma":0.00016041085,"threshold_uncertainty_score":0.019121587},"labels":[],"label_agreement":null},{"id":"W2010500077","doi":"10.2139/ssrn.2396938","title":"Institutional Investment Horizons and the Cost of Equity Capital","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College Saint-Jean; University of Alberta; Queen's University; Dalhousie University","funders":"","keywords":"Cost of capital; Equity capital markets; Equity (law); Private equity firm; Investment (military); Business; Finance; Economics; Capital (architecture); Financial economics; Monetary economics; Private equity; Microeconomics; Political science; Incentive; Geography","score_opus":0.017182441482559613,"score_gpt":0.21719493333922613,"score_spread":0.2000124918566665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010500077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9570204,0.002865098,0.009628761,0.002939303,0.00006496739,0.00001786651,0.00051353435,0.000050336475,0.02689983],"genre_scores_gemma":[0.9983303,0.00030788998,0.00018343197,0.000020971785,0.00003086265,0.000002287989,0.00005466126,0.0000039237607,0.0010655639],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997348,0.00006236771,0.000017893442,0.000032792403,0.000058344987,0.00009370658],"domain_scores_gemma":[0.986997,0.0077976715,0.0030291826,0.0004962878,0.00053254515,0.0011473896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001616974,0.00018213583,0.00025367126,0.0006385542,0.0003033101,0.0022507592,0.0004344321,0.0010798532,0.006569401],"category_scores_gemma":[0.02039241,0.00020317845,0.00017421295,0.0007227906,0.0006305297,0.0035588935,0.0005636418,0.0012388787,0.00021937951],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011559506,0.00033345903,0.114707425,0.0002035688,0.00021168572,0.001104503,0.00049631495,0.103879355,0.0026740818,0.6896368,0.0056441585,0.0799527],"study_design_scores_gemma":[0.000118601296,0.00023226478,0.19137608,0.00012076646,0.00016907696,0.00080982904,0.00080151594,0.104594916,0.0016003534,0.6928914,0.0071897535,0.00009545181],"about_ca_topic_score_codex":0.0018165946,"about_ca_topic_score_gemma":0.0022927108,"teacher_disagreement_score":0.006569401,"about_ca_system_score_codex":0.0018484824,"about_ca_system_score_gemma":0.00061668054,"threshold_uncertainty_score":0.021976888},"labels":[],"label_agreement":null},{"id":"W2010559973","doi":"10.1002/cjas.11","title":"Refining momentum strategies by conditioning on prior long‐term returns: Canadian evidence","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Profitability index; Momentum (technical analysis); Predictability; Term (time); Transaction cost; Economics; Econometrics; Trading strategy; Database transaction; Monetary economics; Financial economics; Computer science; Microeconomics; Finance; Mathematics; Statistics; Physics","score_opus":0.13013786954585396,"score_gpt":0.3135864008124879,"score_spread":0.18344853126663394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010559973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735353,0.004689391,0.002080569,0.0026579269,0.000035577184,0.00007554976,0.0025711993,0.000042738902,0.014311672],"genre_scores_gemma":[0.9948932,0.001885779,0.0006790474,0.00014325722,0.000018932822,0.000006229144,0.0011416816,0.000012155455,0.0012197453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794954,0.00045818763,0.00017271424,0.0003125832,0.0008361164,0.00027083492],"domain_scores_gemma":[0.94019556,0.029459963,0.0102809835,0.0058257487,0.01209985,0.0021379462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066375746,0.0006302717,0.0008110796,0.0013479757,0.0017429787,0.003089141,0.0017518097,0.0009633876,0.007049208],"category_scores_gemma":[0.048227806,0.00038241074,0.00067501084,0.0032864409,0.0018562875,0.0014883548,0.0008950918,0.0014787405,0.0005481918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010702877,0.00039343876,0.9012508,0.00023553242,0.0008292632,0.00029446668,0.00090081664,0.007846549,0.00026618683,0.0074222754,0.0050809938,0.074409276],"study_design_scores_gemma":[0.00022826756,0.000232586,0.965085,0.00020325204,0.0008004876,0.00010909926,0.0008983119,0.015743006,0.000745325,0.0051789517,0.0106727,0.00010307327],"about_ca_topic_score_codex":0.96086663,"about_ca_topic_score_gemma":0.9484215,"teacher_disagreement_score":0.03913337,"about_ca_system_score_codex":0.009869617,"about_ca_system_score_gemma":0.015382801,"threshold_uncertainty_score":0.0787276},"labels":[],"label_agreement":null},{"id":"W2010583349","doi":"10.1111/j.1468-036x.2009.00480.x","title":"Portfolio Performance Measurement: a No Arbitrage Bounds Approach","year":2009,"lang":"en","type":"article","venue":"European Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Arbitrage; Portfolio; Equity (law); Ranking (information retrieval); Econometrics; Casual; Mutual fund; Performance measurement; Actuarial science; Economics; Computer science; Financial economics; Finance; Artificial intelligence","score_opus":0.028795735647597243,"score_gpt":0.17672018142746346,"score_spread":0.14792444577986621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010583349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05440951,0.0010443954,0.93388635,0.00051593257,0.000060769366,0.00007839258,0.0001246816,0.00013654253,0.00974345],"genre_scores_gemma":[0.9130437,0.00027074805,0.085124135,0.000078930934,0.00014969136,0.00016119442,0.00013577427,0.00004333725,0.0009925137],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9744047,0.016319076,0.0010978497,0.0020027698,0.005342444,0.0008331635],"domain_scores_gemma":[0.9261423,0.053910125,0.0076066405,0.007022005,0.004256907,0.0010619861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023806605,0.0015182456,0.0018005961,0.005033777,0.000700068,0.0046908814,0.0017394545,0.0017252712,0.0018686266],"category_scores_gemma":[0.13241595,0.00041725233,0.0008777907,0.0020754614,0.0038524985,0.004692676,0.0034193015,0.002440693,0.00029423335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002857653,0.00015151053,0.009053299,0.0001547976,0.00026514928,0.00018965041,0.00043137834,0.2517373,0.00274661,0.6559897,0.0011656195,0.07782934],"study_design_scores_gemma":[0.000022172931,0.00017154933,0.002898297,0.0001039215,0.00003704241,0.000086221764,0.00006307589,0.67202955,0.0027227916,0.32016534,0.001642293,0.00005774964],"about_ca_topic_score_codex":0.00086427585,"about_ca_topic_score_gemma":0.00033693755,"teacher_disagreement_score":0.023806605,"about_ca_system_score_codex":0.0016888188,"about_ca_system_score_gemma":0.0012122431,"threshold_uncertainty_score":0.12590283},"labels":[],"label_agreement":null},{"id":"W2011065132","doi":"10.1016/j.ribaf.2004.11.001","title":"Bond elasticity under liquidation risk","year":2005,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bond; Bond valuation; Portfolio; Valuation (finance); Economics; Elasticity (physics); Government bond; Credit risk; Econometrics; Interest rate; Financial economics; Monetary economics; Actuarial science; Finance","score_opus":0.07381910766632659,"score_gpt":0.30975501697191193,"score_spread":0.23593590930558533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011065132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92004025,0.0011297562,0.046387404,0.0044867084,0.00013281671,0.00001807097,0.0002214884,0.00020012597,0.027383335],"genre_scores_gemma":[0.99363446,0.0004354315,0.0006810128,0.00009818258,0.00012742466,0.000008740633,0.000089095476,0.000036694797,0.00488875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994711,0.00016418833,0.000030640018,0.00009308829,0.00009400181,0.00014701248],"domain_scores_gemma":[0.9894623,0.006102603,0.0018831487,0.0008359849,0.00085702096,0.0008589159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030559015,0.0003406108,0.0010137912,0.0014668,0.00046532575,0.0023600413,0.00071141537,0.0015710315,0.008951223],"category_scores_gemma":[0.016467055,0.0004306353,0.0005170408,0.0008404696,0.0016698327,0.006214736,0.0012260152,0.0027450153,0.0007126494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034248765,0.00013049657,0.008193305,0.00007118202,0.000043248954,0.0003672893,0.00031500508,0.06694554,0.0031690293,0.90455306,0.0032889599,0.012580488],"study_design_scores_gemma":[0.000049335526,0.00007029427,0.0072281864,0.000027702656,0.000038701783,0.0002618133,0.00034222298,0.2126403,0.0010812171,0.7769834,0.0012269695,0.000049823004],"about_ca_topic_score_codex":0.0014645493,"about_ca_topic_score_gemma":0.00048148193,"teacher_disagreement_score":0.008951223,"about_ca_system_score_codex":0.00087580644,"about_ca_system_score_gemma":0.00048545306,"threshold_uncertainty_score":0.029944777},"labels":[],"label_agreement":null},{"id":"W2011540428","doi":"10.1007/s10693-015-0215-0","title":"Typical and Tail Performance of Canadian Equity SRI Mutual Funds","year":2015,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; Concordia University; Brock University","funders":"","keywords":"Equity (law); Benchmarking; Luck; Selection bias; Business; Selection (genetic algorithm); Econometrics; Economics; Actuarial science; Accounting; Statistics; Mathematics; Computer science; Marketing; Political science","score_opus":0.15187623819992882,"score_gpt":0.32321345283999264,"score_spread":0.17133721464006382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011540428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99511284,0.00022547378,0.00013943663,0.00009865855,0.0000050815756,0.000007783783,0.00095835817,0.000051133127,0.0034012913],"genre_scores_gemma":[0.99854326,0.000041538304,0.000052424573,0.00000878399,0.000003963686,0.0000013813537,0.0004967984,0.0000056403665,0.0008462197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898833,0.00007507764,0.000054908913,0.00012506457,0.00040155213,0.00035509263],"domain_scores_gemma":[0.9894538,0.0018725557,0.001990467,0.0005301614,0.004555178,0.0015978288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019714977,0.00031552202,0.0003441297,0.0019989945,0.0009614345,0.0018442869,0.00081503077,0.00071999116,0.0019578852],"category_scores_gemma":[0.012491751,0.00018316248,0.00027265222,0.0016637881,0.0006598149,0.00079510565,0.0006943191,0.00041797987,0.00031970613],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017920989,0.00010961971,0.89572406,0.00009163552,0.00016594124,0.0006138928,0.0024435392,0.030712841,0.00429349,0.012725439,0.012276604,0.03905085],"study_design_scores_gemma":[0.000017658553,0.00008060935,0.9742727,0.000022741597,0.000040094874,0.00018438771,0.00087815826,0.019049834,0.001553106,0.001096663,0.002731572,0.00007239985],"about_ca_topic_score_codex":0.6978075,"about_ca_topic_score_gemma":0.7846205,"teacher_disagreement_score":0.3021925,"about_ca_system_score_codex":0.009895868,"about_ca_system_score_gemma":0.0034955286,"threshold_uncertainty_score":0.60794437},"labels":[],"label_agreement":null},{"id":"W2011557019","doi":"10.1108/03074351311313825","title":"Leveraged and inverse ETF performance during the financial crisis","year":2013,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Market liquidity; Leverage (statistics); Business; Originality; Financial crisis; Compounding; Finance; Accounting; Economics; Computer science","score_opus":0.013821488733884902,"score_gpt":0.1694266981062436,"score_spread":0.15560520937235872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011557019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99304634,0.0002529065,0.0012206298,0.00033196347,0.000037223894,0.000017148834,0.00040756125,0.000058899925,0.0046273824],"genre_scores_gemma":[0.9988318,0.00006290481,0.00028997037,0.000021585638,0.000021523354,0.000005330377,0.00017154262,0.000009592007,0.0005857622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985891,0.0002525181,0.00017211503,0.00020779141,0.0005413333,0.00023715275],"domain_scores_gemma":[0.9909826,0.0026668776,0.002824911,0.0007868779,0.0019836307,0.00075518526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035269544,0.00035699463,0.00043193033,0.0010705176,0.00037126706,0.0019412457,0.00046337658,0.0006991849,0.0028310148],"category_scores_gemma":[0.023467049,0.0001278073,0.00022283982,0.0008216892,0.00066233723,0.0023471129,0.0012987475,0.00059733674,0.00075956597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035607242,0.00039389476,0.74176705,0.00013533162,0.00015544995,0.0015927473,0.0019527668,0.02534607,0.0040878365,0.0064058597,0.00637781,0.20822453],"study_design_scores_gemma":[0.000111122914,0.0020378968,0.9115305,0.00014261527,0.00008591845,0.0015934088,0.0027852291,0.057860382,0.008167462,0.006844283,0.008696299,0.00014485422],"about_ca_topic_score_codex":0.002681488,"about_ca_topic_score_gemma":0.001126266,"teacher_disagreement_score":0.0035269544,"about_ca_system_score_codex":0.0006930177,"about_ca_system_score_gemma":0.0003721242,"threshold_uncertainty_score":0.018652558},"labels":[],"label_agreement":null},{"id":"W2011623093","doi":"10.5539/ijef.v5n12p79","title":"ETFs versus CEFs: Performance in International Equity Investing","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fund of funds; Equity (law); Business; Expense ratio; Monetary economics; Closed-end fund; Global assets under management; Stable value fund; Excess return; Finance; Passive management; Economics; Institutional investor","score_opus":0.053776299263312594,"score_gpt":0.24912463195844994,"score_spread":0.19534833269513735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011623093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99681264,0.00035006978,0.000068731504,0.0000961888,0.000010172636,0.0000045137526,0.00010849642,0.00000714222,0.0025420461],"genre_scores_gemma":[0.9992956,0.00008737114,0.000046729845,0.000008859427,0.0000148686195,0.0000017529701,0.00016130909,0.0000022986806,0.0003812199],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902725,0.0002676285,0.00011534932,0.000120197146,0.00028707855,0.00018237245],"domain_scores_gemma":[0.9915115,0.0023207986,0.0032087383,0.00031248314,0.0011655687,0.0014809143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031358849,0.00031196736,0.00030785165,0.0011812752,0.00019178829,0.0016396412,0.00034116002,0.0005527921,0.0015390093],"category_scores_gemma":[0.015720153,0.000046935642,0.00022354188,0.0014792369,0.00047439346,0.0016205257,0.0010706323,0.0005302123,0.00038976214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0077128736,0.0008086044,0.8520419,0.0001007409,0.00012740237,0.00031489666,0.0008005531,0.00968583,0.0016619816,0.0040457505,0.0024341978,0.12026529],"study_design_scores_gemma":[0.00012123347,0.0039317645,0.97435683,0.00007460022,0.00007907439,0.0004312281,0.0013078314,0.011643887,0.0033017355,0.0018205106,0.0028870762,0.00004419837],"about_ca_topic_score_codex":0.0030168807,"about_ca_topic_score_gemma":0.002068535,"teacher_disagreement_score":0.0031358849,"about_ca_system_score_codex":0.0009025004,"about_ca_system_score_gemma":0.00039922394,"threshold_uncertainty_score":0.016584396},"labels":[],"label_agreement":null},{"id":"W2012315529","doi":"10.2139/ssrn.942077","title":"Revealed Stock Preferences of Individual Investors: Evidence from Chinese Equity Markets","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Equity (law); Financial economics; Business; Stock (firearms); Chinese market; Monetary economics; Economics; China","score_opus":0.05031948261863858,"score_gpt":0.26871209148138087,"score_spread":0.21839260886274228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012315529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99953496,0.000035082114,0.000043537784,0.000017906046,6.2868816e-7,0.0000032715304,0.00006305797,7.328551e-7,0.00030086085],"genre_scores_gemma":[0.9996319,0.000058966347,0.00003269167,0.000010432177,0.0000028222848,0.0000025534155,0.00012323748,4.1359928e-7,0.00013688856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961925,0.000088408095,0.000033151897,0.000060916558,0.00010109114,0.000097239346],"domain_scores_gemma":[0.99482936,0.0021428382,0.0015616799,0.0005488467,0.00041790566,0.00049942476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014306572,0.0002528857,0.00042830152,0.0009048333,0.000473189,0.00086273596,0.0005245121,0.00059712416,0.0027431415],"category_scores_gemma":[0.0052417745,0.00025966304,0.00027250202,0.0011660412,0.00077563856,0.00086890906,0.0006083814,0.00036860703,0.00029359167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072564784,0.00018396061,0.98287004,0.00003997752,0.00017340058,0.00030806786,0.0014102841,0.0010446489,0.0021256611,0.0010062283,0.00026715084,0.009844971],"study_design_scores_gemma":[0.00004830031,0.00012136434,0.9947417,0.000005409014,0.00008880237,0.00009312242,0.0005861672,0.0025848353,0.0007160213,0.0007339427,0.0002627151,0.000017761948],"about_ca_topic_score_codex":0.018638283,"about_ca_topic_score_gemma":0.017384835,"teacher_disagreement_score":0.018638283,"about_ca_system_score_codex":0.0007005038,"about_ca_system_score_gemma":0.00047926366,"threshold_uncertainty_score":0.037059605},"labels":[],"label_agreement":null},{"id":"W2013147713","doi":"10.1177/0148558x11409159","title":"Conflict-of-Interest Reforms and Investment Bank Analysts’ Research Biases","year":2011,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Optimism; Profitability index; Stock (firearms); Investment decisions; Investment banking; Economics; Investment (military); Business; Monetary economics; Finance; Behavioral economics; Political science","score_opus":0.2679992202241345,"score_gpt":0.31157893519456914,"score_spread":0.04357971497043461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013147713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97477764,0.0019738756,0.002118552,0.005906083,0.00010974422,0.000075423006,0.00015477493,0.000017968227,0.014866027],"genre_scores_gemma":[0.9986234,0.00021634002,0.00035259526,0.00042277633,0.000069574126,0.000010325788,0.000038488975,0.0000017880395,0.0002649119],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9845925,0.007714005,0.0018062319,0.0009531022,0.0040349746,0.00089922454],"domain_scores_gemma":[0.63937515,0.14261477,0.1907205,0.009612401,0.014407783,0.0032694363],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.023237742,0.00013411441,0.0002579085,0.0013527626,0.0005779234,0.0021430023,0.00050786574,0.0008687923,0.0010088816],"category_scores_gemma":[0.16478743,0.00016128324,0.00021855337,0.0014251155,0.0008847914,0.001042832,0.0008817448,0.0012269596,0.00020604041],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078515697,0.0001578789,0.88620687,0.00013488549,0.0003298437,0.00022641414,0.005510901,0.0015003866,0.0013550522,0.004769965,0.0030123699,0.09601025],"study_design_scores_gemma":[0.000050501334,0.00016861397,0.980793,0.00012216972,0.00008704347,0.0003607624,0.002885333,0.0021564749,0.0019238505,0.0036392563,0.007757261,0.000055688477],"about_ca_topic_score_codex":0.0026890785,"about_ca_topic_score_gemma":0.0042276173,"teacher_disagreement_score":0.97676224,"about_ca_system_score_codex":0.0020720481,"about_ca_system_score_gemma":0.0010503422,"threshold_uncertainty_score":0.122894466},"labels":[],"label_agreement":null},{"id":"W2013456691","doi":"10.5539/jms.v4n1p84","title":"Capital Structure, Turnover, and Stock Return: The Case of the Firms in the Nikkei 225","year":2014,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Portfolio; Sharpe ratio; Stock (firearms); Debt; Economics; Turnover; Debt ratio; Inventory turnover; Monetary economics; Financial economics; Econometrics; Business; Finance; Stock exchange","score_opus":0.009752336064746658,"score_gpt":0.2052954203281644,"score_spread":0.19554308426341774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013456691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995907,0.0000623174,0.00004832648,0.000042866202,7.1219625e-7,0.0000014931856,0.00001574354,6.0825533e-7,0.00023722857],"genre_scores_gemma":[0.9997727,0.00005015229,0.00002654328,0.0000053553454,0.0000021549579,6.2162593e-7,0.000031517226,3.2986074e-7,0.00011059405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979967,0.000041272262,0.000014022843,0.00003567282,0.00003084865,0.00007842017],"domain_scores_gemma":[0.99864787,0.0002929657,0.00060851354,0.000055643206,0.00010820128,0.00028691645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005731887,0.0002342488,0.0003349306,0.0009409519,0.00067216763,0.0017432957,0.00042739324,0.0006197852,0.0009401104],"category_scores_gemma":[0.002325936,0.000172563,0.0003435403,0.00090536976,0.000592287,0.00085456506,0.0007706915,0.0005814462,0.00012936954],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025723554,0.00017711267,0.9854968,0.000014575555,0.00011301242,0.003091343,0.000850625,0.0034280284,0.00066121266,0.0013129327,0.00016715124,0.0044299164],"study_design_scores_gemma":[0.000018316348,0.0001002258,0.97948176,0.000010482673,0.00007315815,0.0008918102,0.002456611,0.015393913,0.0002494519,0.00094277516,0.00035964913,0.000021870179],"about_ca_topic_score_codex":0.031015093,"about_ca_topic_score_gemma":0.03247223,"teacher_disagreement_score":0.031015093,"about_ca_system_score_codex":0.0010152976,"about_ca_system_score_gemma":0.00037585275,"threshold_uncertainty_score":0.06166911},"labels":[],"label_agreement":null},{"id":"W2013874583","doi":"10.2753/ree1540-496x460407","title":"Trading Behavior on Expiration Days and Quarter-End Days: The Effect of a New Closing Method","year":2010,"lang":"en","type":"article","venue":"Emerging Markets Finance and Trade","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Closing (real estate); Market liquidity; Quarter (Canadian coin); Expiration; Monetary economics; Futures contract; Economics; Expiration date; Financial economics; Business; Stock (firearms); Finance; Medicine","score_opus":0.019781208081361946,"score_gpt":0.24906044152835763,"score_spread":0.2292792334469957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013874583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993223,0.000034040906,0.00008263634,0.000043489934,0.000009684797,0.000005344639,0.000020293477,0.000005613379,0.00047659216],"genre_scores_gemma":[0.9992046,0.000031925527,0.00015537588,0.000042655854,0.000014441724,0.000007640221,0.000076852855,0.000005513972,0.0004610151],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989932,0.00044791918,0.00009360323,0.00014958966,0.00018957646,0.00012603142],"domain_scores_gemma":[0.9802069,0.012403601,0.0035139816,0.0017527014,0.00059303246,0.0015296732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020232892,0.00020614771,0.00050535105,0.0003544688,0.00029092398,0.0008058755,0.00037841292,0.00061001943,0.0020770817],"category_scores_gemma":[0.016070157,0.00015804995,0.00040906703,0.00025090578,0.00037366681,0.00048625914,0.00036574132,0.000964509,0.00027010214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0265508,0.0074237348,0.81166905,0.00015117707,0.0006124856,0.0010419644,0.001934049,0.0051228604,0.05274981,0.0011256625,0.0013993325,0.09021907],"study_design_scores_gemma":[0.00017963444,0.003347233,0.98478335,0.000013367102,0.00013115993,0.00020298858,0.0006014789,0.006208563,0.0033075046,0.00037629143,0.0008082598,0.000040129828],"about_ca_topic_score_codex":0.0012981917,"about_ca_topic_score_gemma":0.0017582404,"teacher_disagreement_score":0.0020770817,"about_ca_system_score_codex":0.0002836515,"about_ca_system_score_gemma":0.00020520794,"threshold_uncertainty_score":0.010700345},"labels":[],"label_agreement":null},{"id":"W2014119141","doi":"10.7202/010757ar","title":"Révision à la baisse de la prime sur les actions au Canada","year":2005,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03863194329978023,"score_gpt":0.22774846796749404,"score_spread":0.1891165246677138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014119141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4839649,0.033592023,0.1118384,0.047489025,0.0042356993,0.0011050893,0.07506081,0.0012362022,0.24147785],"genre_scores_gemma":[0.8051113,0.014473293,0.05848574,0.0026585702,0.00046345216,0.00035097057,0.013653677,0.00024698433,0.10455606],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959591,0.0006963488,0.0002171581,0.0005023106,0.002217569,0.0004075281],"domain_scores_gemma":[0.9786042,0.002816069,0.000991756,0.000909591,0.01611682,0.0005615637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007579798,0.0006616224,0.000685312,0.003242406,0.0023383354,0.005070365,0.0017306168,0.0006739509,0.008448495],"category_scores_gemma":[0.022044303,0.0005158399,0.00078861223,0.0055812406,0.0015268975,0.0015665822,0.0014581227,0.0014155579,0.0008205711],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006175229,0.00008297045,0.3162972,0.0015437744,0.00050579006,0.0004590752,0.008893921,0.026182238,0.0020218487,0.1341475,0.13342316,0.37582493],"study_design_scores_gemma":[0.00006225579,0.00017626066,0.40896365,0.001568462,0.00037712723,0.00015696308,0.0051575606,0.020583745,0.0036307895,0.011974838,0.5471478,0.00020058869],"about_ca_topic_score_codex":0.97345,"about_ca_topic_score_gemma":0.97691965,"teacher_disagreement_score":0.034418367,"about_ca_system_score_codex":0.034418367,"about_ca_system_score_gemma":0.07920361,"threshold_uncertainty_score":0.24972391},"labels":[],"label_agreement":null},{"id":"W2015580964","doi":"10.5539/ijef.v6n11p90","title":"Size, Value and Turn-of-the-Year Effect in the Egyptian Stock Market","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Qatar University; Anglia Ruskin University","keywords":"Stock market; Economics; Financial economics; Stock (firearms); Value (mathematics); Econometrics; Sample (material); Mathematics; Statistics; Geography","score_opus":0.010194816013349196,"score_gpt":0.20324385817837054,"score_spread":0.19304904216502133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015580964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99924445,0.00015831804,0.00002596601,0.0000835647,0.00000442845,8.775723e-7,0.00011114203,0.0000026698833,0.0003686837],"genre_scores_gemma":[0.9994647,0.000093759634,0.000014292133,0.00001067534,0.00000925265,6.003988e-7,0.00019227665,0.0000013592273,0.00021302173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999821,0.000019240857,0.000018190005,0.000042560398,0.0000477145,0.000051338568],"domain_scores_gemma":[0.9970804,0.0006102803,0.001473913,0.00013942775,0.00035455544,0.00034143616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046035656,0.00015815276,0.00020153305,0.000933698,0.00021116232,0.00086479564,0.00029104162,0.00042804235,0.001339019],"category_scores_gemma":[0.0029657264,0.00010716761,0.00032283083,0.0009489146,0.00037843833,0.0007028754,0.00045820154,0.00051541283,0.00023053616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001415459,0.000028666353,0.99522877,0.000008337405,0.000049543676,0.00022487147,0.00015854898,0.0005120831,0.0004705671,0.00021586487,0.0002309203,0.0027303498],"study_design_scores_gemma":[0.0000019743172,0.000029063724,0.9987595,0.0000032539567,0.000016765876,0.000046010384,0.00015887053,0.0005437049,0.00015147479,0.000058568847,0.00022774174,0.0000030632589],"about_ca_topic_score_codex":0.020009654,"about_ca_topic_score_gemma":0.023145884,"teacher_disagreement_score":0.020009654,"about_ca_system_score_codex":0.0006024529,"about_ca_system_score_gemma":0.00045350785,"threshold_uncertainty_score":0.0397864},"labels":[],"label_agreement":null},{"id":"W2015920059","doi":"10.1016/j.jempfin.2003.04.001","title":"Tests of return predictability: an analysis of their properties based on a continuous time asymptotic framework","year":2003,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Université de Montréal","keywords":"Predictability; Econometrics; Mathematics; Dividend; Statistic; Statistics; Null hypothesis; Sample size determination; Economics; Finance","score_opus":0.04205054909733755,"score_gpt":0.2569830382427001,"score_spread":0.21493248914536253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015920059","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.396671,0.0013207407,0.59598875,0.0009264096,0.00011803693,0.00011717601,0.00033949377,0.0010093389,0.003509072],"genre_scores_gemma":[0.9707794,0.0005142538,0.026774937,0.00015918128,0.00033632154,0.00014204698,0.0004720692,0.00017291328,0.0006488807],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9849235,0.009227253,0.00073017733,0.0017321662,0.0025931213,0.00079376873],"domain_scores_gemma":[0.36774728,0.5896504,0.018019285,0.017097697,0.005303233,0.002182136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.048699353,0.0015287371,0.0032748654,0.0058036656,0.0009948498,0.0033187587,0.00343821,0.0027342532,0.003206393],"category_scores_gemma":[0.3191978,0.0009972925,0.002510956,0.0039432487,0.0070688436,0.007375981,0.0033181438,0.003845845,0.00029226733],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013555991,0.00048231124,0.12233173,0.0005224897,0.0015263789,0.0016422676,0.0010223255,0.3465674,0.004220525,0.3999146,0.0033181503,0.11709622],"study_design_scores_gemma":[0.00010713512,0.00035263103,0.015112604,0.00006004425,0.00020426427,0.00053178583,0.00010806451,0.8499345,0.0008824006,0.13227701,0.00034009875,0.00008941142],"about_ca_topic_score_codex":0.0012813403,"about_ca_topic_score_gemma":0.000647589,"teacher_disagreement_score":0.048699353,"about_ca_system_score_codex":0.0010437359,"about_ca_system_score_gemma":0.0016063085,"threshold_uncertainty_score":0.25754988},"labels":[],"label_agreement":null},{"id":"W2016338135","doi":"10.1007/s11408-012-0199-9","title":"Portfolio risk management in a data-rich environment","year":2012,"lang":"en","type":"article","venue":"Financial markets and portfolio management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"American University in Cairo; Université de Montréal","keywords":"Portfolio; Economics; Index (typography); Downside risk; Econometrics; Portfolio optimization; Expected shortfall; Modern portfolio theory; Set (abstract data type); Market portfolio; Post-modern portfolio theory; Actuarial science; Project portfolio management; Value (mathematics); Market risk; Financial economics; Replicating portfolio; Computer science; Statistics; Mathematics","score_opus":0.025914783873508943,"score_gpt":0.21462925554659237,"score_spread":0.18871447167308342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016338135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32609552,0.0020299412,0.6616292,0.0046271645,0.00022196538,0.00005779588,0.0023621619,0.000948984,0.0020273044],"genre_scores_gemma":[0.95344526,0.00088026293,0.043328494,0.0002294018,0.00028396558,0.00003679839,0.0010831271,0.000067232206,0.0006454185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975994,0.0012474434,0.00017673857,0.0003943552,0.00041282907,0.00016932246],"domain_scores_gemma":[0.96564275,0.026433319,0.0026615437,0.0030812647,0.0013555671,0.0008255861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007602681,0.0006695004,0.0017557575,0.0012685541,0.0005661203,0.0043051993,0.0013032872,0.0016510552,0.00089217647],"category_scores_gemma":[0.033704385,0.00086356915,0.00050654175,0.0015276108,0.0009681295,0.0068093822,0.0025422245,0.0020284061,0.00022667392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040513443,0.00017554412,0.01744003,0.00014865921,0.00032047977,0.00077608967,0.00009941814,0.9062215,0.0016346455,0.03775933,0.003612899,0.031406216],"study_design_scores_gemma":[0.000018378838,0.000024557276,0.0016508366,0.000010017962,0.000018800401,0.000068391375,0.000027735261,0.9423091,0.0003910359,0.055000868,0.00046590256,0.00001437153],"about_ca_topic_score_codex":0.0016546629,"about_ca_topic_score_gemma":0.0016135443,"teacher_disagreement_score":0.007602681,"about_ca_system_score_codex":0.0006634222,"about_ca_system_score_gemma":0.00064738,"threshold_uncertainty_score":0.040207267},"labels":[],"label_agreement":null},{"id":"W2016350727","doi":"10.1016/j.joep.2007.01.009","title":"Complexity of information and trading behavior: The case of dividend increase announcements","year":2007,"lang":"en","type":"article","venue":"Journal of Economic Psychology","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Dalhousie University","keywords":"Dividend; Stock market; Stock (firearms); Shareholder; Common stock; Business; Financial economics; Monetary economics; Economics; Finance; Corporate governance","score_opus":0.08267639422562147,"score_gpt":0.3082558041140316,"score_spread":0.22557940988841013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016350727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98718077,0.00030289768,0.004009577,0.0028743118,0.000019328896,0.000023628272,0.00011334715,0.000024631687,0.005451446],"genre_scores_gemma":[0.9986395,0.00011530554,0.0008428507,0.00005826645,0.0000397354,0.0000057524967,0.000041653708,0.000008163738,0.00024866668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985032,0.000745782,0.00008076128,0.00017009846,0.0003038458,0.00019635259],"domain_scores_gemma":[0.803173,0.1764259,0.011179349,0.004517042,0.001905211,0.002799452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004197862,0.00030118265,0.0010694197,0.0013015976,0.0010339194,0.004755771,0.0007579687,0.0033108029,0.004341104],"category_scores_gemma":[0.099681765,0.0007152219,0.00058223703,0.0012544111,0.0018727722,0.007300424,0.0015050167,0.0038443804,0.0002624279],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009807268,0.0038677128,0.39462245,0.00068968337,0.0012169649,0.01037837,0.012094939,0.18172672,0.025970645,0.24145801,0.010706673,0.10746061],"study_design_scores_gemma":[0.00049954496,0.00048999634,0.21609637,0.00004846698,0.00027210484,0.0016627496,0.0024477749,0.5054137,0.0019790148,0.26912633,0.0017300547,0.0002338469],"about_ca_topic_score_codex":0.003662518,"about_ca_topic_score_gemma":0.0034150681,"teacher_disagreement_score":0.004755771,"about_ca_system_score_codex":0.0009985109,"about_ca_system_score_gemma":0.00063101726,"threshold_uncertainty_score":0.022200704},"labels":[],"label_agreement":null},{"id":"W2016806043","doi":"10.1002/1096-9934(200009)20:8<705::aid-fut1>3.0.co;2-k","title":"Standard and Poor?s depository receipts and the performance of the S&amp;P 500 index futures market","year":2000,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Futures contract; Economics; Financial economics; Equity (law); Dividend; Maturity (psychological); Dividend yield; Futures market; Yield (engineering); Monetary economics; Econometrics; Finance; Dividend policy","score_opus":0.007544353066899586,"score_gpt":0.18447830660691344,"score_spread":0.17693395354001387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016806043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99836653,0.000046079913,0.00021037924,0.00009632644,0.0000022913785,0.00000386785,0.00004213246,0.0000041765825,0.0012281991],"genre_scores_gemma":[0.99950397,0.000023894136,0.00012844816,0.00001124933,0.0000049141167,0.0000011187944,0.00004333921,0.0000017712614,0.00028129038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990978,0.0002752322,0.00014411229,0.00008936742,0.00026558305,0.00012792968],"domain_scores_gemma":[0.977508,0.007608963,0.010871634,0.0014624891,0.001671453,0.00087746955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004110796,0.00013398223,0.00017140525,0.0005655926,0.00027626878,0.0011774842,0.00018432493,0.00035993973,0.0014973689],"category_scores_gemma":[0.027647002,0.000117177166,0.00019095257,0.00038103916,0.00067614275,0.0009524476,0.00061547686,0.00046781648,0.00027562762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084104453,0.00023093307,0.9612762,0.000017402665,0.000081457576,0.00024279392,0.00031415102,0.005335296,0.0014494596,0.004205307,0.00077256426,0.025233528],"study_design_scores_gemma":[0.000038650673,0.0003707439,0.97630477,0.000013337599,0.00005045534,0.00045915123,0.00031382273,0.014051146,0.0035432456,0.0030210419,0.0018041469,0.000029420546],"about_ca_topic_score_codex":0.0026490542,"about_ca_topic_score_gemma":0.0022216432,"teacher_disagreement_score":0.004110796,"about_ca_system_score_codex":0.00078698585,"about_ca_system_score_gemma":0.0004253626,"threshold_uncertainty_score":0.021740258},"labels":[],"label_agreement":null},{"id":"W2016907534","doi":"10.1016/j.jbankfin.2004.06.028","title":"Stock market returns: A note on temperature anomaly","year":2004,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":540,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Stock (firearms); Mood; Economics; Apathy; Aggression; Stock market; Statistical evidence; Anomaly (physics); Monetary economics; Financial economics; Psychology; Econometrics; Clinical psychology; Social psychology; Psychiatry; Cognition; Condensed matter physics; Physics; Geography","score_opus":0.017689595546591688,"score_gpt":0.21966672813550542,"score_spread":0.20197713258891373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016907534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91032547,0.008264749,0.020302938,0.010145506,0.00212585,0.000044489087,0.0021019308,0.00054825447,0.046140756],"genre_scores_gemma":[0.99203306,0.0020763641,0.0013735144,0.0003549524,0.0014051608,0.0000034835434,0.00023171723,0.00008556018,0.0024361257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997645,0.000026515785,0.000028177174,0.000051419058,0.000101161095,0.000028216647],"domain_scores_gemma":[0.9984042,0.00046321677,0.00043060014,0.00025381192,0.00035819408,0.00008991006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005220974,0.00021552815,0.00039821173,0.0008831531,0.00022661405,0.0011948592,0.00046055892,0.0009120969,0.001888475],"category_scores_gemma":[0.0045368983,0.00013139965,0.0004108844,0.0013229129,0.0004865746,0.001650443,0.00057285774,0.0012429322,0.0004779659],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001512854,0.00024003498,0.6037706,0.0003605256,0.00065967866,0.007860247,0.00103606,0.014073338,0.06774112,0.054414194,0.023495546,0.22483572],"study_design_scores_gemma":[0.000048249076,0.00032275703,0.8412832,0.00011176439,0.000499064,0.004842136,0.00060839613,0.03331332,0.03349879,0.03656729,0.048778675,0.00012636912],"about_ca_topic_score_codex":0.0023560894,"about_ca_topic_score_gemma":0.0018970536,"teacher_disagreement_score":0.0023560894,"about_ca_system_score_codex":0.00032673095,"about_ca_system_score_gemma":0.00019649904,"threshold_uncertainty_score":0.0063176155},"labels":[],"label_agreement":null},{"id":"W2017266726","doi":"10.5539/ijef.v2n4p167","title":"Day-of-the-Week-Effects in West African Regional Stock Market","year":2010,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thursday; Diversification (marketing strategy); Currency; Stock (firearms); Portfolio; Names of the days of the week; Stock market; Economics; Financial economics; Geography; Monetary economics; Business","score_opus":0.019949260397139127,"score_gpt":0.21228818638329489,"score_spread":0.19233892598615576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017266726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980259,0.00031936393,0.00009571028,0.00013117849,0.000016491476,0.0000045842635,0.00038804294,0.0000039443476,0.0010146858],"genre_scores_gemma":[0.999311,0.00008889232,0.000035108325,0.000020421068,0.00001623167,0.0000030813333,0.00020203754,0.0000044382327,0.0003187497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993469,0.00016124324,0.000057265406,0.0001427697,0.00012509465,0.00016662109],"domain_scores_gemma":[0.9958781,0.0011043288,0.0019894908,0.00035215955,0.00029052194,0.00038541478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087765517,0.00017298837,0.00037843146,0.0005501458,0.0003237419,0.0008003574,0.0003070529,0.00033987983,0.00346998],"category_scores_gemma":[0.0034793862,0.00015032898,0.00046523922,0.00081254233,0.00031990977,0.00043008904,0.0005556918,0.00047966882,0.0003745679],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023959439,0.000062324914,0.99347925,0.000025468267,0.00018169777,0.00021722332,0.00041850074,0.00018455328,0.00091387564,0.00020121453,0.0006219669,0.0034542186],"study_design_scores_gemma":[8.9746715e-7,0.000017299553,0.99941146,0.0000027497033,0.000018890985,0.000023466531,0.000106104686,0.000103243285,0.00004982697,0.00001412789,0.00024995304,0.0000019851266],"about_ca_topic_score_codex":0.015317958,"about_ca_topic_score_gemma":0.029828148,"teacher_disagreement_score":0.015317958,"about_ca_system_score_codex":0.00036990442,"about_ca_system_score_gemma":0.00032095241,"threshold_uncertainty_score":0.030457556},"labels":[],"label_agreement":null},{"id":"W2017402383","doi":"10.3905/jai.2009.11.3.037","title":"Market Efficiency and Returns from Convertible Bond Hedging and Arbitrage Strategies","year":2008,"lang":"en","type":"article","venue":"The Journal of Alternative Investments","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Convertible bond; Convertible arbitrage; Arbitrage; Market neutral; Bond; Financial economics; Convertible; Issuer; Equity (law); Economics; Business; Econometrics; Portfolio; Risk arbitrage; Finance; Capital asset pricing model","score_opus":0.03368199525321452,"score_gpt":0.2250653667247119,"score_spread":0.19138337147149737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017402383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729863,0.001009596,0.01322465,0.00022455824,0.00001293781,0.000037989295,0.00020611478,0.00007350048,0.012224411],"genre_scores_gemma":[0.9971475,0.0002054705,0.0011999038,0.000021040738,0.000014716131,0.000006549678,0.00019733445,0.000015872723,0.0011916577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.999049,0.00023147953,0.00008008726,0.00012734016,0.00042564963,0.00008652663],"domain_scores_gemma":[0.9878064,0.007428317,0.0022050987,0.0014636971,0.0008676424,0.00022887242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035838103,0.00046436882,0.00052828825,0.001535412,0.00013730618,0.0019297822,0.0004617753,0.0005717921,0.0030053486],"category_scores_gemma":[0.026939852,0.00017857549,0.00046811317,0.0012095188,0.00085193245,0.0031530543,0.0007932905,0.00073984894,0.00037472416],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018226745,0.00043231994,0.2519347,0.00029714842,0.000795052,0.00146507,0.00048493507,0.36071655,0.013909909,0.1533242,0.0022384403,0.21257888],"study_design_scores_gemma":[0.00020186756,0.0017596467,0.37169707,0.00010466586,0.00037484072,0.0017772191,0.0006806744,0.4470367,0.025504723,0.14445943,0.0062399623,0.0001632944],"about_ca_topic_score_codex":0.00065650925,"about_ca_topic_score_gemma":0.0003359589,"teacher_disagreement_score":0.0035838103,"about_ca_system_score_codex":0.0005400762,"about_ca_system_score_gemma":0.00022413454,"threshold_uncertainty_score":0.018953204},"labels":[],"label_agreement":null},{"id":"W2017563500","doi":"10.1007/s11156-012-0335-7","title":"Asymmetric stock price and liquidity responses to changes in the FTSE SmallCap index","year":2012,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Brock University","keywords":"Market liquidity; Economics; Index (typography); Market capitalization; Monetary economics; Stock market index; Financial economics; Stock market","score_opus":0.08449344663957985,"score_gpt":0.30756911629745715,"score_spread":0.22307566965787728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017563500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967068,0.00020245046,0.0002989916,0.00031855638,0.000035594836,0.000008870909,0.0004213077,0.000023042809,0.0019844158],"genre_scores_gemma":[0.99907124,0.000104238665,0.00007606739,0.000061017847,0.000052402247,0.0000039417896,0.0002905668,0.000005994312,0.00033450153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996631,0.000049595947,0.000031762724,0.00005567672,0.00013980489,0.000060066526],"domain_scores_gemma":[0.99649614,0.001093407,0.00147169,0.00020147364,0.00048541836,0.0002518822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065295654,0.00028812312,0.00030199348,0.000766506,0.00016743659,0.0010127192,0.00029832483,0.00084897137,0.0022950538],"category_scores_gemma":[0.008962258,0.0001696576,0.00021560378,0.00068443874,0.0002645363,0.00083945633,0.00040893914,0.00089440215,0.0004594587],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005408707,0.0017238733,0.71551925,0.00025984432,0.000577003,0.0022056352,0.0007693245,0.02941243,0.14079572,0.008335144,0.009755851,0.08523723],"study_design_scores_gemma":[0.00008120247,0.00023966315,0.9669639,0.0000140995335,0.0000696438,0.00023420494,0.00023889757,0.02169679,0.0056253267,0.0037193957,0.0010755738,0.00004143222],"about_ca_topic_score_codex":0.0021806508,"about_ca_topic_score_gemma":0.001766771,"teacher_disagreement_score":0.0022950538,"about_ca_system_score_codex":0.00047863362,"about_ca_system_score_gemma":0.00022266187,"threshold_uncertainty_score":0.0076776743},"labels":[],"label_agreement":null},{"id":"W2018744745","doi":"10.2139/ssrn.574186","title":"Incentives and Risk Taking in Hedge Funds","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Incentive; Hedge fund; Business; Actuarial science; Finance; Economics; Microeconomics","score_opus":0.014832371710924806,"score_gpt":0.20961323757329572,"score_spread":0.19478086586237092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018744745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96627843,0.001287319,0.015466337,0.0026253308,0.00005855399,0.00003483319,0.000059918675,0.00003781403,0.014151452],"genre_scores_gemma":[0.9973143,0.00020346273,0.0006718456,0.000061610845,0.000030115487,0.0000064493915,0.000010375555,0.0000025914653,0.0016992728],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990896,0.00040038806,0.000073912,0.000103842896,0.00011049739,0.00022164203],"domain_scores_gemma":[0.98418635,0.009172028,0.0042916234,0.00046293097,0.00058318995,0.0013038343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003992809,0.0003375751,0.00068768766,0.00047340215,0.0006197046,0.0034184307,0.00049794244,0.0026495492,0.0034452656],"category_scores_gemma":[0.020242034,0.0003893371,0.00038392917,0.00034732645,0.0011332813,0.002880629,0.00097565993,0.0014831497,0.00025905969],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021190257,0.00075468695,0.067466244,0.00025820115,0.00020357658,0.0016934883,0.0014963922,0.069112584,0.004968061,0.7929448,0.0034357188,0.055547208],"study_design_scores_gemma":[0.00039736842,0.00049340475,0.026530163,0.00006460677,0.00009800605,0.00035031055,0.00092033925,0.063739695,0.0015185085,0.90252644,0.0032857137,0.00007542529],"about_ca_topic_score_codex":0.001259927,"about_ca_topic_score_gemma":0.0011272813,"teacher_disagreement_score":0.003992809,"about_ca_system_score_codex":0.0010365552,"about_ca_system_score_gemma":0.0008567525,"threshold_uncertainty_score":0.021116257},"labels":[],"label_agreement":null},{"id":"W2018975817","doi":"10.5539/ijef.v5n5p184","title":"Diversification in a Small Market: Some Evidences from Namibia","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Financial economics; Portfolio; Economics; Stock (firearms); Real estate; Bond; Monetary economics; Business; Finance; Geography","score_opus":0.03312240972607023,"score_gpt":0.20611346546706275,"score_spread":0.17299105574099252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018975817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97438455,0.0064304555,0.00017810207,0.0011950966,0.000012330036,0.000008783646,0.00018903441,0.0000025985091,0.017599104],"genre_scores_gemma":[0.9967746,0.0023904936,0.00010213469,0.00012924525,0.000025546311,0.0000020034797,0.000070959744,0.0000019178526,0.0005031613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998827,0.000026781538,0.000007868375,0.000022111286,0.000026700925,0.00003386411],"domain_scores_gemma":[0.99926955,0.00025801876,0.00027448832,0.000031970627,0.00008141352,0.00008460558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003836193,0.00016631736,0.00023306962,0.0007520112,0.00088074344,0.0010303515,0.00028732626,0.00041560846,0.0036480261],"category_scores_gemma":[0.0010865218,0.00008140257,0.00011577805,0.0012719563,0.00087618374,0.001037822,0.00058686465,0.0003019284,0.00025167054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014258806,0.0005756196,0.7420962,0.0019971854,0.0003363687,0.020367576,0.04025847,0.0003601158,0.0162788,0.027082179,0.004817683,0.14440387],"study_design_scores_gemma":[0.000033967626,0.0001249271,0.92992663,0.00035602893,0.00010839557,0.0033914526,0.02747469,0.0005048047,0.0014900009,0.0049654143,0.031598736,0.000025067233],"about_ca_topic_score_codex":0.009777586,"about_ca_topic_score_gemma":0.017127305,"teacher_disagreement_score":0.009777586,"about_ca_system_score_codex":0.00045835003,"about_ca_system_score_gemma":0.00032123405,"threshold_uncertainty_score":0.019441307},"labels":[],"label_agreement":null},{"id":"W2019049398","doi":"10.1142/s0219024904002281","title":"LONG-SHORT PORTFOLIO MODELING: CRITIQUE AND EXTENSION","year":2004,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Portfolio; Extension (predicate logic); Computer science; Portfolio optimization; Post-modern portfolio theory; Selection (genetic algorithm); Black–Litterman model; Mathematical economics; Modern portfolio theory; Application portfolio management; Mathematical optimization; Replicating portfolio; Econometrics; Economics; Project portfolio management; Financial economics; Mathematics; Artificial intelligence; Management; Project management","score_opus":0.014932533932753914,"score_gpt":0.2427771904973407,"score_spread":0.2278446565645868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019049398","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015947208,0.010733664,0.90551484,0.04101818,0.00070391165,0.00007381994,0.00022771541,0.00024813527,0.025532503],"genre_scores_gemma":[0.79356694,0.024995198,0.13932939,0.0070638233,0.005496033,0.00039298067,0.00044262444,0.0003195492,0.028393507],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952583,0.0023941817,0.0002972958,0.0005111047,0.0013560548,0.00018305823],"domain_scores_gemma":[0.9806207,0.013303252,0.0016384516,0.0018332313,0.0021896989,0.0004145577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010975628,0.0010080381,0.0012004822,0.0011920223,0.000676379,0.0025526686,0.0040186937,0.0026629914,0.0054599917],"category_scores_gemma":[0.03061538,0.0005567064,0.0013019254,0.0017166849,0.0023278012,0.0081508495,0.0029041409,0.0048263976,0.0009360648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018182147,0.00004342872,0.0006271803,0.00012627317,0.000032742508,0.00007377674,0.0001550802,0.034297876,0.000078414436,0.91501355,0.005497234,0.044036288],"study_design_scores_gemma":[0.000013693702,0.000032706626,0.00025739448,0.00006053272,0.0000112693215,0.00008279398,0.00004971191,0.10404455,0.00007993696,0.8835812,0.011770475,0.000015593141],"about_ca_topic_score_codex":0.0035168934,"about_ca_topic_score_gemma":0.0016826189,"teacher_disagreement_score":0.010975628,"about_ca_system_score_codex":0.0015884995,"about_ca_system_score_gemma":0.0022837122,"threshold_uncertainty_score":0.058045387},"labels":[],"label_agreement":null},{"id":"W2022735931","doi":"10.2139/ssrn.536702","title":"Conditions Ensuring the Decomposition of Asset Demand for All Risk-Averse Investors","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Statistics Canada","funders":"","keywords":"Asset (computer security); Economics; Financial economics; Business; Decomposition; Microeconomics; Basis risk; Risk premium; Asset allocation; Actuarial science; Monetary economics; Finance; Capital asset pricing model; Computer science; Portfolio","score_opus":0.014302147290720834,"score_gpt":0.23054723025581994,"score_spread":0.21624508296509912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022735931","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35646996,0.0005830398,0.60248655,0.0032664065,0.0001340811,0.00024018393,0.0036661157,0.00042621008,0.03272756],"genre_scores_gemma":[0.9120082,0.0011685821,0.07223269,0.0005132683,0.00035185379,0.00046507907,0.0036050207,0.00025520806,0.009399995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980141,0.0005107392,0.00018123284,0.00034733082,0.0003875803,0.00055899745],"domain_scores_gemma":[0.9741935,0.015052979,0.0028122251,0.0017428545,0.0041192393,0.0020791583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041954373,0.0015324485,0.0019944706,0.0014435841,0.0007440552,0.0038565085,0.0014511358,0.002131503,0.007313879],"category_scores_gemma":[0.031270094,0.0009313452,0.0014052952,0.0011020588,0.0021135733,0.0036726487,0.003544435,0.0029902023,0.001771205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006550496,0.0003032339,0.008457381,0.00030254063,0.00014894902,0.00073039235,0.0007730646,0.050334554,0.018822068,0.88871676,0.01114016,0.019615958],"study_design_scores_gemma":[0.00021792682,0.00014733843,0.0036822879,0.000073485615,0.000041342086,0.00043878198,0.0004915456,0.20908085,0.004519189,0.7784699,0.0027715387,0.000065832646],"about_ca_topic_score_codex":0.0023620338,"about_ca_topic_score_gemma":0.0013460957,"teacher_disagreement_score":0.007313879,"about_ca_system_score_codex":0.0011256438,"about_ca_system_score_gemma":0.0027369226,"threshold_uncertainty_score":0.024467349},"labels":[],"label_agreement":null},{"id":"W2022799517","doi":"10.1111/1475-6803.t01-1-00004","title":"Government Bond Market Seasonality, Diversification, and Cointegration: International Evidence","year":2002,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Government bond; Diversification (marketing strategy); Economics; Financial economics; Bond market; Bond; Seasonality; Liberian dollar; Econometrics; Monetary economics; Business; Finance","score_opus":0.16686954235521229,"score_gpt":0.3111793980995932,"score_spread":0.14430985574438093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022799517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841384,0.0064826543,0.0005637615,0.00058796245,0.000013143722,0.000008555607,0.00047599804,0.000008638372,0.0077208304],"genre_scores_gemma":[0.997384,0.0019026222,0.00014089276,0.0000414813,0.000025929508,0.0000016839401,0.00033416474,0.0000023846105,0.0001668565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994968,0.00016472927,0.00005636465,0.000084188854,0.00012802765,0.0000697803],"domain_scores_gemma":[0.97543657,0.010048642,0.009720646,0.001664578,0.002398347,0.0007312986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020042534,0.00021138895,0.00035735368,0.0017621801,0.00036494233,0.0012950574,0.00039122137,0.00043794245,0.0034955002],"category_scores_gemma":[0.011077633,0.00014815119,0.00028186067,0.0035255216,0.0011040416,0.0008482986,0.00049547054,0.00055329496,0.0003201316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005339144,0.00011824026,0.9453172,0.00015045925,0.00039943063,0.00054881553,0.00048159607,0.001086814,0.0003881966,0.0054691974,0.0016042275,0.04390177],"study_design_scores_gemma":[0.000054702603,0.00014741404,0.9853892,0.00023721764,0.00045300624,0.0006500963,0.00084892835,0.002771819,0.00066735543,0.0028860618,0.0058700875,0.000024161125],"about_ca_topic_score_codex":0.016740652,"about_ca_topic_score_gemma":0.014045939,"teacher_disagreement_score":0.016740652,"about_ca_system_score_codex":0.00037410596,"about_ca_system_score_gemma":0.000349948,"threshold_uncertainty_score":0.033286393},"labels":[],"label_agreement":null},{"id":"W2022932300","doi":"10.1111/j.1540-6261.2007.01212.x","title":"The Initial Public Offerings of Listed Firms","year":2007,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Initial public offering; Equity (law); Business; Valuation (finance); Private investment in public equity; Finance; Market timing; Monetary economics; Valuation effects; Equity financing; Public offering; Economics; Private equity fund; Debt","score_opus":0.05329443508602869,"score_gpt":0.24641034295175657,"score_spread":0.19311590786572788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022932300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99519086,0.00012644922,0.00006937632,0.00021281066,0.0000059879376,0.00001636553,0.00019084339,0.000019680596,0.004167726],"genre_scores_gemma":[0.9983929,0.000041446463,0.00003582213,0.000022893517,0.000010001762,0.0000032008854,0.00015481559,0.0000024331855,0.0013364723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924505,0.0001569329,0.000042653068,0.000044548484,0.00016841808,0.00034242042],"domain_scores_gemma":[0.9795222,0.008690446,0.008049154,0.000640252,0.001496866,0.0016010539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014546292,0.00016564819,0.0002554145,0.000850605,0.0005654573,0.0018428479,0.00024100843,0.00082434074,0.010743642],"category_scores_gemma":[0.012353378,0.00023138926,0.00025921484,0.0006910546,0.000388379,0.0010346737,0.00081765815,0.0009731686,0.00089088816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008261792,0.003819134,0.7917854,0.00043692038,0.00024425852,0.004706,0.0048725638,0.0080426475,0.02162948,0.011987797,0.014689983,0.12952396],"study_design_scores_gemma":[0.00015908238,0.0007838999,0.97633284,0.000056649373,0.0000624156,0.00040164925,0.002712585,0.0075013097,0.004228391,0.0021822085,0.0055106143,0.00006841755],"about_ca_topic_score_codex":0.014657839,"about_ca_topic_score_gemma":0.020389335,"teacher_disagreement_score":0.014657839,"about_ca_system_score_codex":0.002095481,"about_ca_system_score_gemma":0.00055651466,"threshold_uncertainty_score":0.035941064},"labels":[],"label_agreement":null},{"id":"W2023099605","doi":"10.1016/j.jbankfin.2010.07.009","title":"Behavior of liquidity and returns around Canadian seasoned equity offerings","year":2010,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University; Concordia University","funders":"","keywords":"Equity (law); Market liquidity; Monetary economics; Business; Economics; Financial system; Financial economics","score_opus":0.03198365582227878,"score_gpt":0.24147143334532925,"score_spread":0.20948777752305048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023099605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99713814,0.00011180117,0.00003280247,0.00017821752,0.000005340021,0.0000051217435,0.00033118928,0.000008181183,0.002189208],"genre_scores_gemma":[0.9989214,0.00004387763,0.000024867983,0.000017434168,0.0000043893974,0.000001113833,0.0001975065,0.000003193342,0.0007862509],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999619,0.00003804009,0.000012216224,0.00005044888,0.00012537873,0.00015489769],"domain_scores_gemma":[0.99288905,0.0022175252,0.0012584269,0.00013562344,0.002234048,0.0012652911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087921193,0.0001623717,0.00024557355,0.001361977,0.0012368578,0.0020604862,0.00064463104,0.00084661535,0.004235302],"category_scores_gemma":[0.009252727,0.00019002391,0.00028150753,0.0015697404,0.00059182115,0.0005136683,0.00044579664,0.0007399931,0.0003077771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002993612,0.00033950372,0.94199777,0.00005087175,0.00017828778,0.0006988102,0.003795228,0.010185487,0.0047153523,0.0038593528,0.009338179,0.021847438],"study_design_scores_gemma":[0.000019492103,0.000044774562,0.99079096,0.00001145685,0.000025941888,0.000050168088,0.0012706909,0.005702896,0.000266807,0.00022125723,0.0015511129,0.000044373573],"about_ca_topic_score_codex":0.93395954,"about_ca_topic_score_gemma":0.960795,"teacher_disagreement_score":0.06604046,"about_ca_system_score_codex":0.014710938,"about_ca_system_score_gemma":0.005694675,"threshold_uncertainty_score":0.1328587},"labels":[],"label_agreement":null},{"id":"W2023195636","doi":"10.1109/nwesp.2011.6088186","title":"Web-based system for evaluating day trading strategies","year":2011,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Victoria","keywords":"Speculation; Web application; Computer science; Work (physics); Simple (philosophy); Financial market; The Internet; Business; World Wide Web; Finance; Engineering","score_opus":0.12145486840765453,"score_gpt":0.25943987276852526,"score_spread":0.13798500436087074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023195636","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3963894,0.0018047465,0.3267992,0.00025684765,0.00031694124,0.0020973796,0.044635214,0.2087765,0.018923745],"genre_scores_gemma":[0.83739835,0.00039991352,0.12814982,0.0001910795,0.00015256023,0.0013316335,0.022593834,0.0008410819,0.00894175],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936014,0.00011324512,0.0000893521,0.00017703362,0.00022619119,0.0000340509],"domain_scores_gemma":[0.99787796,0.00078598526,0.00022727918,0.0002949773,0.000638245,0.00017555774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008139772,0.00082892267,0.00094629684,0.003311135,0.0002288588,0.001008947,0.0007307614,0.001109677,0.00826266],"category_scores_gemma":[0.002873177,0.00019225462,0.0003345113,0.0011973007,0.00010931744,0.0013052467,0.00051336235,0.0003788202,0.006880623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0058376454,0.0024901535,0.07678056,0.0012218726,0.00076707435,0.00071558915,0.00033069323,0.022642365,0.056296006,0.002306075,0.04136886,0.78924316],"study_design_scores_gemma":[0.00042614053,0.0012740532,0.15021561,0.00016102457,0.00030067415,0.0010945273,0.00020902375,0.7581177,0.054593254,0.005119178,0.028243393,0.00024545047],"about_ca_topic_score_codex":0.0022461165,"about_ca_topic_score_gemma":0.0017262577,"teacher_disagreement_score":0.00826266,"about_ca_system_score_codex":0.0003261757,"about_ca_system_score_gemma":0.0002998015,"threshold_uncertainty_score":0.027641356},"labels":[],"label_agreement":null},{"id":"W2023257528","doi":"10.5539/ijef.v3n5p234","title":"Behavioral Finance: The Explanation of Investors’ Personality and Perceptual Biases Effects on Financial Decisions","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Extraversion and introversion; Openness to experience; Personality; Perception; Conscientiousness; Cognitive bias; Psychology; Overconfidence effect; Behavioral economics; Correlation; Neuroticism; Big Five personality traits; Hindsight bias; Social psychology; Econometrics; Economics; Finance; Cognition","score_opus":0.09865432088714565,"score_gpt":0.2633135659082699,"score_spread":0.16465924502112422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023257528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904338,0.0004013437,0.0022601371,0.0005736395,0.000027970531,0.00001987998,0.00009626565,0.000010927458,0.0061759437],"genre_scores_gemma":[0.9990946,0.00009682539,0.00037894,0.000037531947,0.000016342525,0.0000049423747,0.000023920662,0.000001356549,0.0003455184],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996309,0.0001805353,0.000017992468,0.000046189205,0.00006978441,0.000054506047],"domain_scores_gemma":[0.99604636,0.0021223335,0.00089327374,0.00027310217,0.00035753328,0.00030738837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084209174,0.00034247967,0.00015841342,0.0005894815,0.00022648403,0.00082545023,0.00019454658,0.0003697521,0.003492613],"category_scores_gemma":[0.0070226537,0.000107608146,0.00034885676,0.00029143924,0.0003879864,0.00042426112,0.00031961195,0.00038516312,0.00021458328],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004886871,0.0004962703,0.93671113,0.000114073126,0.00016411311,0.0006951767,0.0018192243,0.0017725332,0.004060206,0.005297977,0.0007301825,0.04765035],"study_design_scores_gemma":[0.000019332727,0.00016036788,0.9896389,0.000021929549,0.00004815457,0.00024182104,0.0003788761,0.004734132,0.0003069191,0.004019764,0.00041685218,0.000012937386],"about_ca_topic_score_codex":0.0024650602,"about_ca_topic_score_gemma":0.0012665867,"teacher_disagreement_score":0.003492613,"about_ca_system_score_codex":0.00029713096,"about_ca_system_score_gemma":0.00023246929,"threshold_uncertainty_score":0.0116840005},"labels":[],"label_agreement":null},{"id":"W2023696258","doi":"10.1016/j.jbankfin.2004.06.034","title":"The relationship between short interest and stock returns in the Canadian market","year":2004,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Stock (firearms); Short interest ratio; Excess return; Economics; Assertion; Exploit; Monetary economics; Financial economics; Business","score_opus":0.08130866761240618,"score_gpt":0.2536187308897627,"score_spread":0.17231006327735654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023696258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870896,0.0017726778,0.000089541936,0.002758507,0.000027544493,0.000017539161,0.0018330225,0.000017705388,0.00639379],"genre_scores_gemma":[0.9953402,0.00081977376,0.00007973761,0.0001290776,0.0000259806,0.0000040850564,0.0007945614,0.000008147,0.002798456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993734,0.00004920586,0.00004190073,0.000067871515,0.00023427591,0.00023340128],"domain_scores_gemma":[0.98917586,0.0022373018,0.0020653945,0.00023495979,0.004054903,0.0022316955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012964081,0.00035784187,0.0005023365,0.0029269753,0.003411905,0.0034251902,0.001667992,0.0012463881,0.0067807897],"category_scores_gemma":[0.01089307,0.00033421838,0.0006415594,0.0050195516,0.0014022579,0.0013672855,0.0008241287,0.0015169315,0.0005022256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064844254,0.00014013167,0.96898335,0.0000725483,0.0001804972,0.00049044716,0.0017551491,0.0018388736,0.0005063367,0.007700865,0.006390348,0.011292987],"study_design_scores_gemma":[0.000029191118,0.000019551879,0.9930004,0.000019582145,0.00006719943,0.00006964981,0.0010236312,0.002413985,0.000099293015,0.00064448547,0.0025653727,0.00004768026],"about_ca_topic_score_codex":0.99505806,"about_ca_topic_score_gemma":0.9966884,"teacher_disagreement_score":0.03903714,"about_ca_system_score_codex":0.03903714,"about_ca_system_score_gemma":0.02946433,"threshold_uncertainty_score":0.2832356},"labels":[],"label_agreement":null},{"id":"W2023781116","doi":"10.1155/2010/791025","title":"Instability of Financial Markets and Preference Heterogeneity","year":2010,"lang":"en","type":"article","venue":"Advances in Decision Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universität Konstanz; Deutsche Bundesbank; York University; McMaster University; Université Laval; Concordia University; Syracuse University","keywords":"Economics; Capital asset pricing model; Volatility (finance); Financial market; Stock (firearms); Financial economics; Econometrics; Preference; Stock market; Microeconomics; Finance","score_opus":0.04871774567089114,"score_gpt":0.28725030565674886,"score_spread":0.2385325599858577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023781116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7805973,0.00085644354,0.19334523,0.0030621788,0.000041776817,0.000044488792,0.00021008858,0.00013529946,0.02170719],"genre_scores_gemma":[0.9968997,0.00009910565,0.0017112159,0.000058350393,0.000029304738,0.000007827542,0.000025739742,0.0000056336985,0.0011631285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990847,0.00039071558,0.00005027201,0.00014084298,0.0001802454,0.00015325],"domain_scores_gemma":[0.99406564,0.0032482177,0.0016614902,0.0004243828,0.0002817691,0.00031837044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017354707,0.0003370156,0.00050979096,0.00062359835,0.0004074587,0.0025038694,0.00063658366,0.0010088144,0.0023867688],"category_scores_gemma":[0.012956633,0.00030784257,0.00061827834,0.0006558913,0.0010670399,0.0030779731,0.0013174402,0.001556136,0.0002515506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039818505,0.000118551805,0.030957144,0.000076194294,0.00017803743,0.0016458597,0.0011951255,0.14465134,0.0031071105,0.7827708,0.0012114439,0.033690218],"study_design_scores_gemma":[0.00006512144,0.00006788408,0.009950846,0.000016251335,0.000036457357,0.0005674774,0.00023571042,0.27225253,0.00049584016,0.71490556,0.0013384594,0.00006783639],"about_ca_topic_score_codex":0.0024636574,"about_ca_topic_score_gemma":0.0009841645,"teacher_disagreement_score":0.0025038694,"about_ca_system_score_codex":0.00088221504,"about_ca_system_score_gemma":0.0003599651,"threshold_uncertainty_score":0.009178102},"labels":[],"label_agreement":null},{"id":"W2023836732","doi":"10.1111/0008-4085.00019","title":"The effect of additions to or deletions from the TSE 300 Index on Canadian share prices","year":2000,"lang":"fr","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Brock University","funders":"","keywords":"Humanities; Mathematics; Economics; Econometrics; Philosophy","score_opus":0.07644154599659929,"score_gpt":0.18045903008578182,"score_spread":0.10401748408918253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023836732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99372417,0.00017601124,0.00024183757,0.00019702381,0.000019833202,0.000017899429,0.0006118957,0.000019379975,0.0049919095],"genre_scores_gemma":[0.99536175,0.00018637771,0.00040769813,0.000044863264,0.00002239742,0.000007206154,0.0008173886,0.000008151015,0.0031441345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99783295,0.00018276398,0.00009866968,0.00019656261,0.0013304754,0.00035866917],"domain_scores_gemma":[0.9858204,0.004764793,0.004863531,0.00091217563,0.0027406719,0.00089845894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013842204,0.00039254926,0.00029573342,0.0014336148,0.0009243807,0.0018439963,0.00065544643,0.00054679794,0.0038287826],"category_scores_gemma":[0.01779386,0.00017690363,0.0004381362,0.0015499783,0.0011205364,0.00083669845,0.00081877963,0.0006805897,0.00038053098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002473105,0.00016370178,0.88896257,0.00013246511,0.00022815977,0.0007230409,0.0017190907,0.0049806437,0.01605797,0.002677716,0.0018590187,0.08002261],"study_design_scores_gemma":[0.000010622349,0.00013783445,0.99144286,0.000008593532,0.00005065233,0.00006768031,0.0008025973,0.0013041233,0.0025889622,0.0001438337,0.0034217366,0.000020438123],"about_ca_topic_score_codex":0.5845392,"about_ca_topic_score_gemma":0.66876656,"teacher_disagreement_score":0.41546082,"about_ca_system_score_codex":0.006461588,"about_ca_system_score_gemma":0.00398982,"threshold_uncertainty_score":0.8358151},"labels":[],"label_agreement":null},{"id":"W2024150475","doi":"10.1016/j.jedc.2013.04.007","title":"Returns-to-scale and the equity premium puzzle","year":2013,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Equity premium puzzle; Economics; Risk premium; Equity risk; Returns to scale; Equity (law); Econometrics; Liquidity premium; Equity ratio; Financial economics; Risk aversion (psychology); Monetary economics; Microeconomics; Finance; Production (economics); Private equity; Expected utility hypothesis; Market liquidity","score_opus":0.009582114092983866,"score_gpt":0.20269010758701814,"score_spread":0.19310799349403426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024150475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88305885,0.009989866,0.018150873,0.05673919,0.00036768717,0.000021703672,0.00045560993,0.00021669247,0.030999506],"genre_scores_gemma":[0.99520904,0.0010406206,0.0003793524,0.00037753826,0.00045570306,0.0000060099933,0.000058152855,0.000024619781,0.002448961],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996216,0.00010399773,0.000029523599,0.0000828054,0.00008520479,0.00007683457],"domain_scores_gemma":[0.98620135,0.0086360965,0.0028320989,0.0011509733,0.00052476017,0.0006546429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025614859,0.00047598087,0.0011764336,0.0009950949,0.00077619456,0.0032715732,0.0012003495,0.003558153,0.009806163],"category_scores_gemma":[0.027687076,0.0004416986,0.0005379571,0.0012152768,0.0027569549,0.007975165,0.0015945619,0.004071924,0.0006584803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045007962,0.00022574798,0.035378397,0.00016760765,0.00016259319,0.0015484263,0.0008342172,0.015697515,0.002098211,0.874492,0.014059102,0.054886274],"study_design_scores_gemma":[0.00009345464,0.000024869705,0.031289972,0.000034700017,0.00003811735,0.00028349258,0.00032629858,0.022735918,0.0001947998,0.94236517,0.0025727102,0.00004037002],"about_ca_topic_score_codex":0.0019917549,"about_ca_topic_score_gemma":0.0014967474,"teacher_disagreement_score":0.009806163,"about_ca_system_score_codex":0.00069536763,"about_ca_system_score_gemma":0.00038678912,"threshold_uncertainty_score":0.032804847},"labels":[],"label_agreement":null},{"id":"W2024191616","doi":"10.2139/ssrn.1787237","title":"The Asset Growth Effect: Insights from International Equity Markets","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Equity (law); Business; Financial economics; Financial system; Monetary economics; Economics; Political science","score_opus":0.020290734710177855,"score_gpt":0.21682261661456487,"score_spread":0.196531881904387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024191616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8607411,0.007505812,0.021856569,0.011293701,0.00014180556,0.000024568104,0.00048096423,0.000120874945,0.09783461],"genre_scores_gemma":[0.9940592,0.0027154586,0.0005349845,0.00012098245,0.00014464342,0.000004004778,0.000088176654,0.000015263795,0.0023172123],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9999225,0.000022998145,0.0000032645942,0.000013873592,0.000018034298,0.00001934353],"domain_scores_gemma":[0.99778783,0.0014764772,0.00025958405,0.00014756306,0.00017293576,0.00015562476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008609634,0.00029542766,0.00044482198,0.00079963764,0.00025350344,0.0018087383,0.00032698805,0.00065368845,0.006703111],"category_scores_gemma":[0.0048628417,0.00012358853,0.00038133044,0.0009496074,0.00087035744,0.0031092523,0.0006838578,0.0013995797,0.00034825166],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003183449,0.00022466466,0.048787814,0.00017581203,0.00011011976,0.0007204214,0.00073762,0.035748806,0.0026341279,0.81170684,0.01028945,0.088546],"study_design_scores_gemma":[0.000109504595,0.00014273677,0.07911688,0.00010566395,0.00019660027,0.00031477993,0.000798461,0.071302876,0.0017222195,0.8314219,0.014719318,0.00004908285],"about_ca_topic_score_codex":0.003129946,"about_ca_topic_score_gemma":0.0030560032,"teacher_disagreement_score":0.006703111,"about_ca_system_score_codex":0.00039140283,"about_ca_system_score_gemma":0.00034392648,"threshold_uncertainty_score":0.022424161},"labels":[],"label_agreement":null},{"id":"W2024236598","doi":"10.1016/j.rfe.2013.08.003","title":"Resurrecting the size effect: Evidence from a panel nonlinear cointegration model for the G7 stock markets","year":2013,"lang":"en","type":"article","venue":"Review of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Econometrics; Stock (firearms); Stock market; Empirical evidence; Nonlinear system; Financial economics; Monetary economics","score_opus":0.0620189481401566,"score_gpt":0.25481399326823595,"score_spread":0.19279504512807935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024236598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98595977,0.00036831605,0.010142268,0.00050603336,0.0000117942645,0.000015139471,0.00028249845,0.00005074244,0.0026633744],"genre_scores_gemma":[0.99876523,0.00016057747,0.00048513373,0.000032964148,0.000012027287,0.0000034624616,0.00023406502,0.000006310168,0.00030019024],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986707,0.00077214965,0.00006090852,0.00019504577,0.00016408094,0.00013710535],"domain_scores_gemma":[0.97182703,0.019870222,0.0044858996,0.0021009243,0.0012975857,0.00041841125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046599135,0.0004086426,0.00077102834,0.00082577876,0.0003992394,0.0013206386,0.0010256158,0.0009811732,0.0033327562],"category_scores_gemma":[0.014649098,0.00024759024,0.0009791674,0.0012281904,0.0009195843,0.0011969426,0.0008562143,0.0013325269,0.0004940195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013228158,0.0007652373,0.7005916,0.0002538593,0.002007705,0.0017908488,0.00097243895,0.17907648,0.0043173493,0.044134147,0.005271685,0.05949581],"study_design_scores_gemma":[0.00013005028,0.0003335863,0.2454923,0.000052389,0.0009632134,0.0001727009,0.00073004013,0.7143861,0.002199998,0.033409107,0.0020523597,0.0000781215],"about_ca_topic_score_codex":0.01973442,"about_ca_topic_score_gemma":0.013366589,"teacher_disagreement_score":0.01973442,"about_ca_system_score_codex":0.000552845,"about_ca_system_score_gemma":0.0005154113,"threshold_uncertainty_score":0.03923911},"labels":[],"label_agreement":null},{"id":"W2025114977","doi":"10.1016/j.irfa.2010.01.008","title":"Ownership dispersion and market liquidity","year":2010,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Market liquidity; Extant taxon; Dispersion (optics); Liquidity crisis; Business; Shareholder; Monetary economics; Sample (material); Liquidity risk; Financial system; Financial economics; Economics; Finance; Corporate governance","score_opus":0.018829904987538112,"score_gpt":0.2429131389079332,"score_spread":0.2240832339203951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025114977","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18973228,0.72088826,0.01075107,0.031256586,0.0006868913,0.000019435849,0.00061992166,0.00005329505,0.045992345],"genre_scores_gemma":[0.8585327,0.13221754,0.0008970694,0.00058674224,0.002669253,0.000011372933,0.00020720085,0.000011611785,0.0048665376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996927,0.00009576121,0.000026292148,0.000053951124,0.00009119368,0.000040177045],"domain_scores_gemma":[0.99656314,0.0017349994,0.0010757451,0.0001414536,0.0003368364,0.00014783847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097227615,0.00022968357,0.00041960893,0.0014700602,0.00026108202,0.0026098322,0.00033269718,0.0010063996,0.003392647],"category_scores_gemma":[0.0056128036,0.00016181821,0.00017073924,0.0023481569,0.0013991592,0.0042271935,0.0008160547,0.0013960333,0.0003210185],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026909728,0.00017941836,0.065953724,0.00065483997,0.00036694366,0.00048193094,0.0007077507,0.009424368,0.0010053263,0.59347254,0.034832958,0.2926511],"study_design_scores_gemma":[0.000043441985,0.00006987255,0.09181147,0.0006693747,0.00015439065,0.00062526966,0.00064603577,0.009099112,0.00047951922,0.8265451,0.06980042,0.000055976987],"about_ca_topic_score_codex":0.0014155,"about_ca_topic_score_gemma":0.0012838098,"teacher_disagreement_score":0.003392647,"about_ca_system_score_codex":0.00067066395,"about_ca_system_score_gemma":0.00045688587,"threshold_uncertainty_score":0.011349499},"labels":[],"label_agreement":null},{"id":"W2025139584","doi":"10.3917/rsg.249.0013","title":"Performance des fonds de couverture, moments supérieurs et risque procyclique","year":2011,"lang":"fr","type":"article","venue":"La Revue des sciences de gestion/La Revue des sciences de gestion, Direction et gestion","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais; Université du Québec à Montréal","funders":"","keywords":"Humanities; Physics; Political science; Philosophy","score_opus":0.14508930102228249,"score_gpt":0.2940523210442752,"score_spread":0.14896302002199271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025139584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8491442,0.012637529,0.07603735,0.0051495186,0.00030051617,0.00013258427,0.008270259,0.0011995046,0.04712858],"genre_scores_gemma":[0.9837833,0.0018184539,0.005264182,0.00013730384,0.00015759328,0.000046844743,0.0018801256,0.00012700685,0.0067851585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969914,0.0011709705,0.00023505131,0.0005992148,0.000705853,0.0002974797],"domain_scores_gemma":[0.87624246,0.09202509,0.017524732,0.008639221,0.0043394645,0.0012290727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007755489,0.00055430183,0.0011401507,0.0031353917,0.00056292425,0.003982149,0.0008710739,0.0011371905,0.0107738655],"category_scores_gemma":[0.07257056,0.00038857013,0.0010038305,0.0041607223,0.0013201408,0.0018127736,0.0012912878,0.0020247137,0.0013476921],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066396146,0.00007855889,0.656852,0.0005658439,0.0008814614,0.0008844992,0.0019034221,0.04088516,0.0014991668,0.075082086,0.016240118,0.20446384],"study_design_scores_gemma":[0.00009191886,0.00044070292,0.7680608,0.0006062342,0.0008043643,0.0018293267,0.0022210153,0.10275296,0.0045851977,0.07401287,0.044328876,0.0002657485],"about_ca_topic_score_codex":0.012928296,"about_ca_topic_score_gemma":0.008194011,"teacher_disagreement_score":0.012928296,"about_ca_system_score_codex":0.0014242823,"about_ca_system_score_gemma":0.0016148799,"threshold_uncertainty_score":0.041015446},"labels":[],"label_agreement":null},{"id":"W2025824195","doi":"10.1007/s11424-008-9132-8","title":"Optimal Investment with Noise Trading Risk","year":2008,"lang":"en","type":"article","venue":"Journal of Systems Science and Complexity","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dividend; Investment strategy; Investment (military); Economics; Financial economics; Dynamic programming; Bond; Security market line; Stock market; Risk premium; Risk aversion (psychology); Trading strategy; Econometrics; Actuarial science; Expected utility hypothesis; Microeconomics; Mathematical optimization; Finance; Mathematics; Profit (economics)","score_opus":0.08478516908215872,"score_gpt":0.22573188870311578,"score_spread":0.14094671962095706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025824195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5456265,0.0016262024,0.42453313,0.0064357584,0.0002617491,0.0000688147,0.00015157762,0.00020819675,0.021088002],"genre_scores_gemma":[0.9877374,0.00024840853,0.007430215,0.00009880726,0.00006287967,0.000024427445,0.00002442903,0.000017420653,0.004356038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999258,0.0003699771,0.000039622453,0.00012496514,0.00009712906,0.00011033299],"domain_scores_gemma":[0.9921894,0.006578303,0.00051850086,0.00022159825,0.00022708687,0.0002651405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018947923,0.0006321658,0.0016554216,0.00045448396,0.0003347075,0.0023925025,0.0008165801,0.0025276765,0.0025491975],"category_scores_gemma":[0.017407851,0.00073385326,0.00052631553,0.00040317568,0.001516948,0.0029960903,0.0011248833,0.0011773648,0.00016171455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029347013,0.00010623292,0.0019645025,0.00010326243,0.00011075737,0.0002714309,0.00010191058,0.59302485,0.0011971822,0.38698718,0.0016536209,0.01418556],"study_design_scores_gemma":[0.000058558126,0.000047680438,0.0004301171,0.000010639268,0.000029325243,0.000034072975,0.00002874348,0.71568364,0.00020803708,0.28316,0.00029565432,0.000013569861],"about_ca_topic_score_codex":0.0013453439,"about_ca_topic_score_gemma":0.0007641045,"teacher_disagreement_score":0.0025491975,"about_ca_system_score_codex":0.0010643278,"about_ca_system_score_gemma":0.0009583511,"threshold_uncertainty_score":0.010020733},"labels":[],"label_agreement":null},{"id":"W2025904285","doi":"10.2139/ssrn.557822","title":"Myopic Loss Aversion: Information Feedback vs. Investment Flexibility","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Flexibility (engineering); Loss aversion; Economics; Investment (military); Microeconomics; Political science","score_opus":0.013806475864987275,"score_gpt":0.20219728592943623,"score_spread":0.18839081006444897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025904285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69256413,0.0017159417,0.22220145,0.009632678,0.00026721187,0.00011701946,0.0003673866,0.00024318634,0.072891004],"genre_scores_gemma":[0.99631715,0.00023400046,0.0015280903,0.00019062423,0.0000776561,0.000012613851,0.000014124877,0.000008846848,0.0016168435],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989286,0.00040234515,0.00006112648,0.00019455937,0.00016436563,0.0002490603],"domain_scores_gemma":[0.9833435,0.01176703,0.0023946057,0.0011876862,0.00053203513,0.00077509426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043351105,0.00079256255,0.0010646071,0.0005014115,0.00034523642,0.002629846,0.0008872392,0.0022857927,0.0091570625],"category_scores_gemma":[0.020804917,0.0004062593,0.00064946763,0.00041126017,0.0015967503,0.003450702,0.0014242104,0.0022556665,0.00042319452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019367335,0.00046673763,0.008512352,0.00056616246,0.00031979426,0.0009576323,0.0004255581,0.19218947,0.010073561,0.70709676,0.0048407004,0.07261451],"study_design_scores_gemma":[0.00020469888,0.00039020722,0.0053209746,0.00007418116,0.00014447019,0.0003410565,0.00019501477,0.24008945,0.001343911,0.75076574,0.0010626112,0.0000677029],"about_ca_topic_score_codex":0.00051015825,"about_ca_topic_score_gemma":0.00034269865,"teacher_disagreement_score":0.0091570625,"about_ca_system_score_codex":0.00092600577,"about_ca_system_score_gemma":0.00063666917,"threshold_uncertainty_score":0.03063345},"labels":[],"label_agreement":null},{"id":"W2026306536","doi":"10.5430/afr.v2n1p40","title":"Tax-Loss Selling and the Year-End Behavior of Dow Jones Stocks","year":2012,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Economics; Monetary economics; Incentive; Asset (computer security); Capital gains tax; Finance; Microeconomics; Double taxation; Ad valorem tax","score_opus":0.06805441335104773,"score_gpt":0.2952173274300068,"score_spread":0.22716291407895906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026306536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975623,0.000060835286,0.00007686239,0.00005150424,0.000002340566,0.0000033493438,0.000053987926,0.000003485295,0.00218538],"genre_scores_gemma":[0.9989255,0.000059575443,0.0000433335,0.0000105765985,0.0000053466856,0.0000011035098,0.000105468505,0.0000011311397,0.0008478739],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998809,0.000018537006,0.00001282589,0.000015719736,0.00004002974,0.00003194412],"domain_scores_gemma":[0.9972796,0.0006482298,0.0014019549,0.00011053245,0.00014284877,0.00041680987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005464593,0.000112311725,0.00016018434,0.0006548251,0.00034279292,0.001206435,0.00021326747,0.00034163296,0.0035802345],"category_scores_gemma":[0.0035531945,0.00009760318,0.00013658381,0.00036347503,0.00029057276,0.000591068,0.00027482072,0.00046342646,0.0004420549],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000347004,0.00037554823,0.9793975,0.00000898571,0.000049264003,0.0002961286,0.00036254208,0.0010598443,0.0017230227,0.0039715897,0.000618909,0.011789746],"study_design_scores_gemma":[0.000008530704,0.00011327907,0.993411,0.0000048932375,0.0000140287975,0.00018320633,0.00035639026,0.0029718825,0.0004978574,0.0017840718,0.00064322737,0.000011586176],"about_ca_topic_score_codex":0.0057206643,"about_ca_topic_score_gemma":0.010266441,"teacher_disagreement_score":0.0057206643,"about_ca_system_score_codex":0.0004279893,"about_ca_system_score_gemma":0.00020594102,"threshold_uncertainty_score":0.0119770765},"labels":[],"label_agreement":null},{"id":"W2026454127","doi":"10.1109/hicss.2004.1265101","title":"Virtual decision maker for stock market trading as a network of cooperating autonomous intelligent agents","year":2004,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Exploit; Intelligent agent; Premise; Automation; Decision support system; Stock market; Autonomous agent; Artificial intelligence; Operations research; Computer security; Engineering","score_opus":0.04411167092850183,"score_gpt":0.2541022887984632,"score_spread":0.20999061786996137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026454127","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11709225,0.0004787347,0.8544029,0.0007285197,0.000119543205,0.00014256494,0.000053135787,0.0004969992,0.02648529],"genre_scores_gemma":[0.8015539,0.00026523025,0.18813546,0.00012940251,0.000048784495,0.0001626277,0.00006812969,0.00002547681,0.009610892],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939835,0.0002795319,0.00003003211,0.000115018935,0.00012664338,0.00005041341],"domain_scores_gemma":[0.9994574,0.00029892538,0.000062302315,0.000057486468,0.00005045064,0.000073409305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000931695,0.0003607432,0.00039497964,0.0003796197,0.0006123051,0.002319868,0.001094042,0.0010429686,0.0037224444],"category_scores_gemma":[0.001747959,0.00017354381,0.00041931262,0.00032045468,0.0010309161,0.001438401,0.0010809189,0.0007232426,0.00048350147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003643476,0.00021568094,0.0034716576,0.00016209789,0.00010387313,0.0013362216,0.0011991332,0.44235247,0.016737549,0.46491554,0.0018947171,0.067246705],"study_design_scores_gemma":[0.00003639127,0.000120523684,0.0004514988,0.00002156747,0.000031384345,0.00020841694,0.00015774157,0.92724955,0.0025958063,0.058037955,0.011064698,0.0000244353],"about_ca_topic_score_codex":0.0009787887,"about_ca_topic_score_gemma":0.00076804106,"teacher_disagreement_score":0.0037224444,"about_ca_system_score_codex":0.0005114875,"about_ca_system_score_gemma":0.00069705525,"threshold_uncertainty_score":0.012452841},"labels":[],"label_agreement":null},{"id":"W2026938613","doi":"10.1016/j.jbankfin.2014.06.026","title":"Private information flow and price discovery in the U.S. treasury market","year":2014,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"National University of Singapore","keywords":"Treasury; Private information retrieval; Bond; Information flow; Market liquidity; Price discovery; Monetary economics; Maturity (psychological); Business; Economics; Intensity (physics); Bond market; Order (exchange); Financial economics; Finance; Law; Political science","score_opus":0.011495453604304037,"score_gpt":0.186624372743957,"score_spread":0.17512891913965295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026938613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824655,0.0011452587,0.0025885217,0.006499062,0.00003263973,0.000015329273,0.00043298304,0.000048337584,0.006772248],"genre_scores_gemma":[0.9989436,0.00022192541,0.00015504197,0.00007953023,0.00003470554,0.000001867748,0.000067818655,0.0000038020748,0.000491756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928766,0.00024563333,0.000055911376,0.00010957059,0.00015001625,0.00015136207],"domain_scores_gemma":[0.95461935,0.034388565,0.007007508,0.0011880241,0.0014639985,0.0013324933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032846015,0.00017786602,0.00070250174,0.0010894933,0.0009190163,0.0042090137,0.0005671119,0.0020964665,0.00483239],"category_scores_gemma":[0.035875633,0.00046028508,0.00043415884,0.0014892657,0.0017014456,0.005596282,0.0010594775,0.0023893907,0.00044864218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005946562,0.0015158145,0.43587592,0.00025987715,0.0006298874,0.0033532076,0.00338238,0.0931996,0.006439152,0.31709617,0.021674858,0.11062671],"study_design_scores_gemma":[0.0005055327,0.00033263842,0.28188303,0.000076358505,0.00030842284,0.00069605716,0.0016475033,0.3717664,0.0020110018,0.33682072,0.0037319113,0.00022055612],"about_ca_topic_score_codex":0.016245248,"about_ca_topic_score_gemma":0.013470133,"teacher_disagreement_score":0.016245248,"about_ca_system_score_codex":0.001991827,"about_ca_system_score_gemma":0.001187578,"threshold_uncertainty_score":0.032301366},"labels":[],"label_agreement":null},{"id":"W2026988118","doi":"10.5539/jms.v2n2p35","title":"Ethical Portfolio Theory: A New Course","year":2012,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Modern portfolio theory; Reputation; Selection (genetic algorithm); Reading (process); Index (typography); Coherence (philosophical gambling strategy); Actuarial science; Application portfolio management; Computer science; Engineering ethics; Economics; Sociology; Financial economics; Project portfolio management; Management; Political science; Artificial intelligence; Social science; Mathematics; Engineering; Law","score_opus":0.0189277938434144,"score_gpt":0.24801900308666663,"score_spread":0.22909120924325224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026988118","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010140446,0.031892944,0.5848077,0.092541836,0.0068769148,0.000082753846,0.00016914222,0.00016380215,0.2733244],"genre_scores_gemma":[0.63694674,0.041305546,0.18562633,0.018568609,0.025874611,0.0005703792,0.00023586734,0.000422775,0.09044913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975744,0.0013468851,0.000096874275,0.00026378073,0.0005873537,0.00013073407],"domain_scores_gemma":[0.9954817,0.0031809204,0.00021211515,0.00046316205,0.00042231372,0.00023978033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004356049,0.0008046941,0.00085676153,0.0018966618,0.0017468809,0.005914205,0.0014380196,0.0032527589,0.0067748697],"category_scores_gemma":[0.007049145,0.00031171762,0.0007611549,0.0014409751,0.013960108,0.011195638,0.0030082632,0.008224375,0.0012921245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017159854,0.0000073279325,0.00007278152,0.000018798779,0.0000026522223,0.000014620385,0.00014273025,0.0003952586,0.000026741218,0.9891145,0.002562875,0.007640048],"study_design_scores_gemma":[0.0000019281376,0.000005296984,0.000050558705,0.00003454469,0.0000012025323,0.000030175244,0.000053561092,0.0011176828,0.000018618462,0.9728687,0.025814202,0.00000347876],"about_ca_topic_score_codex":0.0008271084,"about_ca_topic_score_gemma":0.00062810356,"teacher_disagreement_score":0.0067748697,"about_ca_system_score_codex":0.0028049776,"about_ca_system_score_gemma":0.0016656631,"threshold_uncertainty_score":0.023037195},"labels":[],"label_agreement":null},{"id":"W2028527794","doi":"10.2139/ssrn.1722932","title":"Trading Activity in the Equity Market and Its Contingent Claims: An Empirical Investigation","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Futures contract; Equity (law); Economics; Financial economics; Futures market; Econometrics; Index (typography)","score_opus":0.06659717485418849,"score_gpt":0.2867142071739203,"score_spread":0.22011703231973184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028527794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99786794,0.0003295805,0.0005053354,0.000074992364,0.0000046412747,0.000007780162,0.000093143935,0.000006645036,0.0011099115],"genre_scores_gemma":[0.99884415,0.0002338053,0.00016640677,0.000011236941,0.000027322529,0.0000059499703,0.00020323279,0.0000042669412,0.000503618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993111,0.00027725383,0.00006916138,0.0000941143,0.00015621813,0.00009218348],"domain_scores_gemma":[0.95359343,0.036450557,0.0061580883,0.0012870134,0.0007040129,0.0018068318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019455336,0.00033340685,0.0005409466,0.001315042,0.0004267508,0.0025450168,0.00082360546,0.0011505061,0.0047819796],"category_scores_gemma":[0.019472536,0.0002791465,0.00061750924,0.0015728882,0.00086752826,0.00273638,0.0010131501,0.0015483245,0.0008954736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011161873,0.0014779607,0.9548501,0.00009671931,0.0002271358,0.00083955785,0.0011209609,0.0032482548,0.0023796423,0.009369589,0.00046171105,0.024812277],"study_design_scores_gemma":[0.0000614826,0.0006194677,0.9434318,0.000047428224,0.0002446135,0.0014562615,0.0012462322,0.043509256,0.00081654906,0.0075354096,0.0009941966,0.00003724069],"about_ca_topic_score_codex":0.0018860722,"about_ca_topic_score_gemma":0.0018041631,"teacher_disagreement_score":0.0047819796,"about_ca_system_score_codex":0.00043135573,"about_ca_system_score_gemma":0.00036482335,"threshold_uncertainty_score":0.01599735},"labels":[],"label_agreement":null},{"id":"W2028651041","doi":"10.1007/s11408-014-0240-2","title":"A note on sorting bias correction in regression-based mutual fund tournament tests","year":2014,"lang":"en","type":"article","venue":"Financial markets and portfolio management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université du Québec à Montréal","funders":"HEC Montréal; Université Laval; University of Chicago; Northwestern University","keywords":"Tournament; Econometrics; Sorting; Economics; Regression; Statistics; Regression analysis; Mathematics","score_opus":0.03314554559204053,"score_gpt":0.24192141297271066,"score_spread":0.20877586738067014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028651041","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047607724,0.002758042,0.9243092,0.0068935696,0.003796245,0.00030336305,0.000651313,0.0024014944,0.011279025],"genre_scores_gemma":[0.5721103,0.000770143,0.4011859,0.00463629,0.0030937912,0.0003489379,0.001309725,0.0010239802,0.015520898],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9456945,0.04022018,0.0022546803,0.0049413824,0.005488027,0.0014011803],"domain_scores_gemma":[0.67774844,0.2580419,0.0060085417,0.03916227,0.01699615,0.0020426526],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.087834544,0.0013422162,0.0034299414,0.0031065943,0.0021040097,0.0033258088,0.0066902204,0.0040124594,0.012127365],"category_scores_gemma":[0.38266745,0.00069747923,0.0026118078,0.004578876,0.0044454285,0.004939349,0.004193575,0.007011411,0.0018209569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019033189,0.00047926386,0.06286678,0.0005116012,0.002097281,0.0011845366,0.0007150517,0.06567543,0.004222307,0.26518974,0.05099372,0.54416096],"study_design_scores_gemma":[0.0004813041,0.0004759084,0.017208906,0.00031101683,0.00048748287,0.00060682604,0.00021972555,0.6262988,0.0076548937,0.32181978,0.024207765,0.00022775636],"about_ca_topic_score_codex":0.006973196,"about_ca_topic_score_gemma":0.006592663,"teacher_disagreement_score":0.91216546,"about_ca_system_score_codex":0.0014586645,"about_ca_system_score_gemma":0.0024215356,"threshold_uncertainty_score":0.46451902},"labels":[],"label_agreement":null},{"id":"W2028731199","doi":"10.5430/ijba.v3n5p99","title":"The Impact of Investors’ Sentiment on the Equity Market: Evidence from Ghanaian Stock Market","year":2012,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market sentiment; Business; Stock market; Equity (law); Financial economics; Sentiment analysis; Investor profile; Stock (firearms); Bootstrapping (finance); Economics; Behavioral economics; Finance","score_opus":0.09034813477796033,"score_gpt":0.3176261766104151,"score_spread":0.22727804183245476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028731199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979387,0.00044822748,0.000024837336,0.00021149944,0.000004732321,0.0000045339557,0.00007604785,4.8877376e-7,0.0012908275],"genre_scores_gemma":[0.9993482,0.0004031242,0.000024004466,0.000021912936,0.000009286311,0.00000131554,0.000059200207,5.89892e-7,0.00013234363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973804,0.0000965438,0.00002609049,0.00002787234,0.00006396876,0.000047435602],"domain_scores_gemma":[0.99474156,0.002121169,0.002294738,0.000120684046,0.00046768525,0.0002541472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088157004,0.00014977682,0.00020161935,0.0006913046,0.0003011011,0.0005395452,0.00013660763,0.00027164057,0.0022460448],"category_scores_gemma":[0.004649069,0.00010849103,0.00015002512,0.0011143172,0.00057558605,0.00061424944,0.00027197303,0.0002889608,0.00023715451],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026931323,0.00008288255,0.9783171,0.00014343689,0.000049365197,0.0010127269,0.0051955194,0.00005714412,0.000584734,0.0004125252,0.0006337777,0.013241622],"study_design_scores_gemma":[0.000007727081,0.00006139396,0.99509805,0.000039526618,0.000027834278,0.00018699894,0.0033393775,0.00011853921,0.00013670947,0.000082959,0.0008976343,0.0000032082748],"about_ca_topic_score_codex":0.009153914,"about_ca_topic_score_gemma":0.01363152,"teacher_disagreement_score":0.009153914,"about_ca_system_score_codex":0.00034269065,"about_ca_system_score_gemma":0.000245116,"threshold_uncertainty_score":0.018201232},"labels":[],"label_agreement":null},{"id":"W2028864331","doi":"10.5539/ibr.v7n2p53","title":"Studying the Relationship between Liquidity Risk and Market Risk with Non-Ordinary Return at Fama—French Three Factor Model at Tehran Stock Exchange","year":2014,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Stock exchange; Liquidity risk; Market risk; Capital asset pricing model; Financial economics; Business; Stock market; Security market line; Financial risk management; Economics; Econometrics; Monetary economics; Finance; Risk management","score_opus":0.1606967434828249,"score_gpt":0.3116125081924202,"score_spread":0.1509157647095953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028864331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98135936,0.0011268449,0.012578215,0.0015203981,0.000035024488,0.000042097265,0.00016778488,0.000046506542,0.0031238208],"genre_scores_gemma":[0.9974043,0.00036330355,0.00077271246,0.00003110889,0.0000329398,0.00001674062,0.00011921936,0.000005267358,0.0012543562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999033,0.00039931023,0.00004933718,0.00015282379,0.00015085247,0.00021467078],"domain_scores_gemma":[0.99008596,0.0069529326,0.0016156874,0.00024600228,0.00059727096,0.0005022384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030467862,0.0006787514,0.0006798238,0.0013069852,0.00049689034,0.00229998,0.00069973187,0.001463489,0.0030757266],"category_scores_gemma":[0.0095090205,0.00028280253,0.0014270637,0.00093325326,0.0005884596,0.0015259186,0.0006188396,0.0011446745,0.00026940362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065225404,0.00045402438,0.68040115,0.00020122563,0.0009852716,0.0023871912,0.0010776643,0.23134331,0.001520575,0.046372257,0.0036655525,0.030939572],"study_design_scores_gemma":[0.000109127366,0.00056380127,0.21000995,0.00009737057,0.00058795884,0.00039117527,0.0006999338,0.7597243,0.00072898366,0.025190212,0.0017824768,0.0001146645],"about_ca_topic_score_codex":0.02117591,"about_ca_topic_score_gemma":0.008810988,"teacher_disagreement_score":0.02117591,"about_ca_system_score_codex":0.0011874038,"about_ca_system_score_gemma":0.0011913293,"threshold_uncertainty_score":0.042105317},"labels":[],"label_agreement":null},{"id":"W2029107510","doi":"10.1007/s10436-009-0119-9","title":"Information provision in financial markets","year":2009,"lang":"en","type":"article","venue":"Annals of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Private information retrieval; Asset (computer security); Quality (philosophy); Information asymmetry; Transparency (behavior); Economics; Public information; Financial market; Microeconomics; Information quality; Rational expectations; Business; Financial economics; Computer science; Finance; Information system; Econometrics; Computer security","score_opus":0.03527748328228006,"score_gpt":0.246056724962327,"score_spread":0.21077924168004694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029107510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36983168,0.052284062,0.17158923,0.10828119,0.001557234,0.00010998885,0.0010881905,0.00032439546,0.29493403],"genre_scores_gemma":[0.9803319,0.0061047613,0.0032648304,0.00046350205,0.0010096038,0.000026548729,0.00008598278,0.0000130369035,0.008699699],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982829,0.00095866626,0.00009491801,0.00016743202,0.00033785836,0.00015816357],"domain_scores_gemma":[0.9767471,0.01839587,0.0019447851,0.0010786407,0.001236206,0.00059741974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027999084,0.0002959577,0.00077300624,0.0014797604,0.0010103341,0.0066092573,0.000570251,0.0031324285,0.008892772],"category_scores_gemma":[0.024100684,0.00050443114,0.00039111733,0.0022590526,0.0026095244,0.009098269,0.00097507116,0.0019992439,0.0008577928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007769504,0.00007772898,0.0013575199,0.00009858265,0.000021386299,0.000111578884,0.00027399222,0.006880472,0.000182112,0.95989645,0.006499191,0.024523348],"study_design_scores_gemma":[0.000021554883,0.00001765827,0.0007477326,0.00003841082,0.00001626784,0.000051496016,0.000111956564,0.012764716,0.00012607306,0.9807922,0.0053013302,0.000010696268],"about_ca_topic_score_codex":0.0016262572,"about_ca_topic_score_gemma":0.0009179002,"teacher_disagreement_score":0.008892772,"about_ca_system_score_codex":0.0015025794,"about_ca_system_score_gemma":0.0013009326,"threshold_uncertainty_score":0.029749274},"labels":[],"label_agreement":null},{"id":"W2029532063","doi":"10.5430/rwe.v4n1p76","title":"A More Practical Method for Explaining Supply","year":2013,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Economics; Modern portfolio theory; Production (economics); Rate of return; Investment (military); Microeconomics; Financial economics; Finance","score_opus":0.18326035692937503,"score_gpt":0.39997852842880344,"score_spread":0.2167181714994284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029532063","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019702755,0.0011661958,0.80763745,0.01604121,0.002898896,0.00020025697,0.00088778837,0.0007424968,0.16845551],"genre_scores_gemma":[0.10807432,0.0031367696,0.6677448,0.007404598,0.003369834,0.0015383693,0.0017196957,0.0011219509,0.20588961],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99909055,0.00032592475,0.00007495555,0.00017585323,0.000254641,0.000078151024],"domain_scores_gemma":[0.9982791,0.0008694336,0.00014207387,0.0003040057,0.0003533301,0.00005209308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018801348,0.0014780097,0.0006743049,0.0030335116,0.0016445513,0.0040822867,0.002426234,0.003636132,0.088736735],"category_scores_gemma":[0.0062963427,0.00051315635,0.0018928049,0.002620774,0.0034866966,0.009612969,0.0021270066,0.004181525,0.014743947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056966433,0.000017118828,0.00010678431,0.000041120205,0.000005749607,0.00007070105,0.00023029606,0.0013800211,0.00017730934,0.97628057,0.011362006,0.010322729],"study_design_scores_gemma":[0.000013939952,0.000022344833,0.0001502305,0.00006397364,0.000008192593,0.0001844235,0.00026865824,0.007120616,0.0002275461,0.752468,0.23945363,0.000018448707],"about_ca_topic_score_codex":0.004237535,"about_ca_topic_score_gemma":0.0028594665,"teacher_disagreement_score":0.088736735,"about_ca_system_score_codex":0.0018166257,"about_ca_system_score_gemma":0.0016748195,"threshold_uncertainty_score":0.29685396},"labels":[],"label_agreement":null},{"id":"W2029788057","doi":"10.1057/palgrave.jam.2250056","title":"Equity-style timing: A multi-style rotation model for the Russell large-cap and small-cap growth and value style indexes","year":2007,"lang":"en","type":"article","venue":"Journal of Asset Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Style investing; Asset allocation; Investment style; Market timing; Portfolio; Equity (law); Style analysis; Economics; Econometrics; Asset (computer security); Profitability index; Style (visual arts); Financial economics; Microeconomics; Computer science; Finance","score_opus":0.07247995230603498,"score_gpt":0.279786397473789,"score_spread":0.20730644516775398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029788057","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2013521,0.00072176766,0.7704967,0.0022887418,0.00050528493,0.0002226206,0.0016267179,0.0010723787,0.021713672],"genre_scores_gemma":[0.92273855,0.00068813405,0.034734845,0.00028848517,0.00038806413,0.00018017733,0.0013939852,0.00054374035,0.039043885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987043,0.00040220382,0.000054821103,0.00038721893,0.00017757973,0.00027389883],"domain_scores_gemma":[0.99428856,0.002496633,0.0012185588,0.0007570343,0.00063844654,0.0006007104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049939016,0.0014710216,0.0018501503,0.0017197651,0.0007563453,0.004398795,0.002857027,0.0028766298,0.00856398],"category_scores_gemma":[0.017757712,0.0012468576,0.0023144973,0.0022791058,0.0016572871,0.004231451,0.0014879701,0.0030581378,0.0024627317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041700853,0.00018214618,0.011330318,0.00006689042,0.00015634665,0.00039723248,0.0003259898,0.5891665,0.0022293117,0.3487041,0.008497668,0.03852642],"study_design_scores_gemma":[0.00003418282,0.00003253316,0.0017002573,0.000007414179,0.00003196571,0.00005470975,0.000019924215,0.9550674,0.00019708878,0.041771427,0.0010412746,0.000041722484],"about_ca_topic_score_codex":0.009261719,"about_ca_topic_score_gemma":0.0058711213,"teacher_disagreement_score":0.009261719,"about_ca_system_score_codex":0.0015153028,"about_ca_system_score_gemma":0.0015746175,"threshold_uncertainty_score":0.02864933},"labels":[],"label_agreement":null},{"id":"W2029921973","doi":"10.1111/1468-5957.00344","title":"Intraday Stock Price Reactions to Interim‐Quarter versus Fourth‐Quarter Earnings Announcements","year":2000,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Quarter (Canadian coin); Interim; Earnings; Economics; Stock (firearms); Econometrics; Finance; Engineering; History","score_opus":0.03505928274721004,"score_gpt":0.24008403922466479,"score_spread":0.20502475647745474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029921973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981286,0.0000649453,0.00033323467,0.00006584724,0.00002680563,0.0000075140365,0.00016772063,0.000021458292,0.0011839308],"genre_scores_gemma":[0.99869114,0.00006375495,0.00009978674,0.000024229525,0.000047635087,0.0000056543927,0.0003201692,0.0000064239207,0.0007413941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995541,0.000058353195,0.00005385251,0.000081273385,0.00018198047,0.00007044353],"domain_scores_gemma":[0.9866143,0.004340852,0.0066103283,0.00079004694,0.0010403757,0.00060402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011765615,0.0002545182,0.0004467476,0.00062339695,0.00017796864,0.0011110404,0.00024996095,0.00047586972,0.0029404631],"category_scores_gemma":[0.0134414015,0.00016271997,0.00027351428,0.00055740547,0.00015515582,0.0007057949,0.00053050905,0.0009082495,0.00069054635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002875378,0.00049202685,0.93742317,0.00006843593,0.00018389172,0.00035719806,0.0005683367,0.002625455,0.01721255,0.00095962133,0.0013744198,0.035859477],"study_design_scores_gemma":[0.000008538441,0.00030905468,0.99547726,0.0000043718696,0.000029226972,0.000059747283,0.00016298528,0.0019182945,0.0013144533,0.00020782773,0.00049448013,0.000013819096],"about_ca_topic_score_codex":0.0017145004,"about_ca_topic_score_gemma":0.0015329921,"teacher_disagreement_score":0.0029404631,"about_ca_system_score_codex":0.00023214766,"about_ca_system_score_gemma":0.00015236058,"threshold_uncertainty_score":0.009836853},"labels":[],"label_agreement":null},{"id":"W2030438677","doi":"10.5430/ijfr.v6n2p1","title":"Losers Win, Winners Lose: Evidence against Market Efficiency","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Autocorrelation; Market efficiency; Econometrics; Set (abstract data type); Economics; Event study; Psychology; Financial economics; Monetary economics; Statistics; Computer science; Mathematics","score_opus":0.19414161805372368,"score_gpt":0.36778359457912824,"score_spread":0.17364197652540456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030438677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99263144,0.00024733643,0.0010045031,0.00015492715,0.000009590484,0.000018422064,0.00006220697,0.000011568763,0.005860022],"genre_scores_gemma":[0.99939513,0.00003905186,0.00015797342,0.000029052917,0.000015064394,0.000004356332,0.000043042262,0.0000041102776,0.0003122953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99625164,0.000779629,0.0004014503,0.000792125,0.0013770426,0.000398164],"domain_scores_gemma":[0.93724626,0.032598775,0.019549912,0.006001419,0.0022523284,0.002351344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009374527,0.00025571906,0.0008821813,0.0015874464,0.0004567352,0.0023439862,0.00094198436,0.00075943023,0.0048629637],"category_scores_gemma":[0.038809456,0.00020958214,0.00041280777,0.0007895416,0.002513434,0.002668369,0.0015664136,0.0007784887,0.0005647832],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033216167,0.00086612167,0.93063736,0.00018645565,0.0006351829,0.00066351605,0.0008382955,0.0016098183,0.008232814,0.008294838,0.00059111905,0.044122946],"study_design_scores_gemma":[0.000072890776,0.0011969567,0.98544335,0.000018159963,0.00010687798,0.00050727697,0.0006023698,0.003034257,0.0023413103,0.005801766,0.0008495671,0.000025166797],"about_ca_topic_score_codex":0.000557648,"about_ca_topic_score_gemma":0.0005542812,"teacher_disagreement_score":0.009374527,"about_ca_system_score_codex":0.00039747276,"about_ca_system_score_gemma":0.00038234165,"threshold_uncertainty_score":0.049577832},"labels":[],"label_agreement":null},{"id":"W2030835081","doi":"10.1016/j.chieco.2012.05.008","title":"Speculative capital inflows, adaptive expectations, and the optimal renminbi appreciation policy","year":2012,"lang":"en","type":"article","venue":"China Economic Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Renminbi; Speculation; Economics; Monetary economics; Capital (architecture); Empirical evidence; Capital flows; Exchange rate; Macroeconomics; Microeconomics","score_opus":0.02345505947294749,"score_gpt":0.23814852286058943,"score_spread":0.21469346338764195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030835081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82756495,0.04187708,0.042677216,0.021491505,0.00074925245,0.00008022517,0.00035048102,0.00014224857,0.06506705],"genre_scores_gemma":[0.98668706,0.008117798,0.0010816156,0.0001630395,0.00017262908,0.000011699281,0.00005366222,0.00001224263,0.003700189],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997485,0.00008569497,0.000019806015,0.00004719361,0.00004202646,0.000056703127],"domain_scores_gemma":[0.99919635,0.00032421967,0.00023224519,0.000033973214,0.0001457894,0.00006738165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017156213,0.0004264883,0.0007321851,0.00052318914,0.0004320376,0.0024453762,0.0005618969,0.0012149423,0.0029222006],"category_scores_gemma":[0.0045674075,0.00029956579,0.00040402537,0.000606577,0.0010229284,0.0022894486,0.00053437724,0.001346254,0.00022442451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050068693,0.000080078054,0.011842385,0.00044783248,0.00016123368,0.00046065435,0.00040438795,0.114325404,0.0022619497,0.75858414,0.0077815014,0.103149734],"study_design_scores_gemma":[0.0002006921,0.0001930245,0.029309232,0.00023266597,0.0002217374,0.00024471825,0.00042404834,0.33025613,0.0017168062,0.6155266,0.021578617,0.00009566686],"about_ca_topic_score_codex":0.004692162,"about_ca_topic_score_gemma":0.0041626613,"teacher_disagreement_score":0.004692162,"about_ca_system_score_codex":0.0018913606,"about_ca_system_score_gemma":0.0021168645,"threshold_uncertainty_score":0.013722837},"labels":[],"label_agreement":null},{"id":"W2030892334","doi":"10.1108/14757701311327713","title":"Excess volatility and closed‐end fund discounts","year":2013,"lang":"en","type":"article","venue":"Review of Accounting and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Closed-end fund; Volatility (finance); Open-end fund; Portfolio; Stable value fund; Passive management; Global assets under management; Fund of funds; Index fund; Economics; Active management; Business; Financial economics; Income fund; Monetary economics; Net asset value; Institutional investor; Finance; Market liquidity; Fund administration; Project portfolio management","score_opus":0.029689060009485818,"score_gpt":0.2398025753340505,"score_spread":0.21011351532456468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030892334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9520252,0.0008926554,0.03521002,0.00053256826,0.000032071468,0.000028242655,0.00011003964,0.00007723981,0.011091852],"genre_scores_gemma":[0.9989889,0.00006506559,0.00045429933,0.0000127165695,0.000010309021,0.0000027481008,0.00001654102,0.0000034806367,0.00044582135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990397,0.000131542,0.00008535887,0.00021543578,0.00024995088,0.00027796897],"domain_scores_gemma":[0.989437,0.0049113114,0.003970554,0.0006806771,0.00041715978,0.00058332784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014260889,0.00026848668,0.0006061479,0.00051201676,0.0003826425,0.002712006,0.00066472474,0.00078716694,0.0031534713],"category_scores_gemma":[0.015957594,0.00031337794,0.00070812437,0.0002760384,0.0014663879,0.0029694268,0.0017793347,0.001691192,0.00016270258],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019985042,0.0003274258,0.13273393,0.00044464556,0.00030581513,0.005618392,0.0011128227,0.13743635,0.023788659,0.63567513,0.00135658,0.05920177],"study_design_scores_gemma":[0.00014409196,0.0005612419,0.058914118,0.00013936388,0.0002305921,0.004359589,0.0011708188,0.27345574,0.019322807,0.63693887,0.004598467,0.00016418997],"about_ca_topic_score_codex":0.0016748044,"about_ca_topic_score_gemma":0.00083977636,"teacher_disagreement_score":0.0031534713,"about_ca_system_score_codex":0.0015904322,"about_ca_system_score_gemma":0.0006140033,"threshold_uncertainty_score":0.011539459},"labels":[],"label_agreement":null},{"id":"W2031068396","doi":"10.1177/0260107912471460","title":"Financial Economics and Non-representative Art","year":2012,"lang":"en","type":"article","venue":"Journal of Interdisciplinary Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Perspective (graphical); Interpretation (philosophy); Economics; Financial market; Point (geometry); Process (computing); Positive economics; Finance; Neoclassical economics; Philosophy; Computer science","score_opus":0.02349861695591905,"score_gpt":0.2529374976835039,"score_spread":0.22943888072758484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031068396","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053436946,0.029383924,0.07910734,0.10056781,0.0024964714,0.00006138136,0.00012611272,0.0001363869,0.7346837],"genre_scores_gemma":[0.9454963,0.006905441,0.012302698,0.0050808,0.002150981,0.00008057449,0.000048568887,0.00006638732,0.027868135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976113,0.0011659412,0.00010346817,0.0003768516,0.00055742875,0.00018509019],"domain_scores_gemma":[0.99565166,0.0028680454,0.0003838068,0.00052166934,0.0004242119,0.00015062605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004425604,0.00042365046,0.00041969668,0.0019403,0.0036367713,0.006481772,0.0006737669,0.0029059877,0.0069087506],"category_scores_gemma":[0.0079645,0.00020980067,0.0003690907,0.0011746387,0.031426307,0.009789134,0.002234052,0.003009186,0.00089376786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020021985,0.000003362947,0.000047325695,0.000011313712,0.0000010146106,0.000015143202,0.00019901939,0.00008349065,0.000014578388,0.99738544,0.0006459144,0.0015914743],"study_design_scores_gemma":[0.0000029763662,0.000004496485,0.00014018336,0.000030326177,0.0000011311253,0.00004194522,0.0001702046,0.0003107329,0.000038170692,0.9743819,0.024874527,0.0000033508222],"about_ca_topic_score_codex":0.00095435197,"about_ca_topic_score_gemma":0.0007877057,"teacher_disagreement_score":0.0069087506,"about_ca_system_score_codex":0.0034306017,"about_ca_system_score_gemma":0.0013096943,"threshold_uncertainty_score":0.0248909},"labels":[],"label_agreement":null},{"id":"W2031110821","doi":"10.1111/j.1475-679x.2008.00290.x","title":"Implications of Transaction Costs for the Post–Earnings Announcement Drift","year":2008,"lang":"en","type":"article","venue":"Journal of Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":250,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Transaction cost; Earnings; Post-earnings-announcement drift; Portfolio; Economics; Econometrics; Financial economics; Database transaction; Monetary economics; Business; Earnings per share; Microeconomics; Finance; Database","score_opus":0.09908470815679679,"score_gpt":0.32137471139338775,"score_spread":0.22229000323659096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031110821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99186,0.00044805242,0.0038376292,0.0005866912,0.000018865689,0.00003906855,0.00022474553,0.000038399336,0.0029466413],"genre_scores_gemma":[0.99952483,0.000046369536,0.00016313748,0.000019226978,0.000021023627,0.000003691724,0.00004160587,0.0000026036128,0.00017770258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828327,0.00035996316,0.00025516082,0.00025596606,0.00051841466,0.00032734126],"domain_scores_gemma":[0.89615285,0.05989706,0.03456856,0.004320632,0.003126966,0.0019338798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003265751,0.00030468154,0.00057200494,0.0011146022,0.00042847384,0.0029555524,0.00060649175,0.00090487563,0.005836017],"category_scores_gemma":[0.04395437,0.00034861456,0.0004224686,0.001012809,0.0010329762,0.002598575,0.0009664356,0.001497004,0.00028731694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017115993,0.0007353288,0.8699634,0.00020583163,0.00039847125,0.0015307018,0.00048382574,0.041410767,0.009227889,0.025637284,0.0011179295,0.047576986],"study_design_scores_gemma":[0.00007957382,0.00038616676,0.9028032,0.00004108864,0.00019257482,0.0005841692,0.00044402885,0.069906086,0.003354576,0.021313397,0.00080178207,0.000093248316],"about_ca_topic_score_codex":0.001910574,"about_ca_topic_score_gemma":0.001355727,"teacher_disagreement_score":0.005836017,"about_ca_system_score_codex":0.0010218789,"about_ca_system_score_gemma":0.00050770264,"threshold_uncertainty_score":0.019523382},"labels":[],"label_agreement":null},{"id":"W2031829176","doi":"10.1016/j.rfe.2015.03.003","title":"Market‐timing the business cycle","year":2015,"lang":"en","type":"article","venue":"Review of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Portfolio; Economics; Business cycle; Econometrics; Market timing; Sample (material); Benchmark (surveying); Quarter (Canadian coin); Financial economics; Actuarial science; Macroeconomics","score_opus":0.0505502222697317,"score_gpt":0.23376462714321003,"score_spread":0.18321440487347834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031829176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7721772,0.03212244,0.048477147,0.010202998,0.0004823585,0.00006829038,0.0023456847,0.00038917625,0.13373479],"genre_scores_gemma":[0.99471813,0.002203771,0.0005412932,0.00011427687,0.00006303876,0.0000045028464,0.00016764004,0.0000135321425,0.0021736256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998667,0.00004033297,0.000007646268,0.000030449772,0.00003796021,0.00001688669],"domain_scores_gemma":[0.9987514,0.00046695827,0.00045074272,0.00005811259,0.0001916879,0.000081073165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057858677,0.00013908937,0.00017874107,0.00039360693,0.00016170778,0.0014700246,0.00021250102,0.00049399,0.0032729593],"category_scores_gemma":[0.0049548578,0.00009490475,0.0001432626,0.000510885,0.000363092,0.0009671582,0.0002315283,0.00045713724,0.000654916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052621245,0.00012430291,0.13945371,0.00033579778,0.00022662093,0.00037271407,0.0002639168,0.121448845,0.0044395835,0.39751017,0.033552036,0.301746],"study_design_scores_gemma":[0.000060239272,0.0001754252,0.22670105,0.00026533913,0.0000866984,0.00030801605,0.00035096434,0.23357978,0.0028488513,0.44157577,0.09396574,0.000082070466],"about_ca_topic_score_codex":0.002484663,"about_ca_topic_score_gemma":0.001655847,"teacher_disagreement_score":0.0032729593,"about_ca_system_score_codex":0.0007567995,"about_ca_system_score_gemma":0.00030790715,"threshold_uncertainty_score":0.010949135},"labels":[],"label_agreement":null},{"id":"W2032343941","doi":"10.12735/jfe.v2i4p68","title":"The Characteristics of Alternative Mutual Funds","year":2014,"lang":"en","type":"article","venue":"Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.020974994800591954,"score_gpt":0.20496222039432357,"score_spread":0.18398722559373162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032343941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975356,0.00020364669,0.0002840882,0.000038918803,0.0000032500002,0.000009858492,0.00016587146,0.0000056505655,0.0017531551],"genre_scores_gemma":[0.99882895,0.00009306822,0.0002531749,0.000007750099,0.000012170173,0.000008603059,0.0003017171,0.0000026165358,0.00049196836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873227,0.00015657663,0.00018403037,0.00012593326,0.0005987223,0.00020243689],"domain_scores_gemma":[0.9922023,0.0011868057,0.0048436425,0.00029326376,0.001017549,0.00045641532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013807254,0.0002020302,0.00022774453,0.0026391994,0.00032443771,0.0010927692,0.0003822531,0.00026489494,0.0012898564],"category_scores_gemma":[0.011079681,0.00009234836,0.0002361016,0.0020742638,0.0002921428,0.0011611107,0.00090823835,0.0002251472,0.0001999044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003353225,0.00003593047,0.94973814,0.000044886237,0.00007238633,0.000345352,0.0006218764,0.0014204847,0.0012992985,0.0032467688,0.00045463335,0.042384837],"study_design_scores_gemma":[0.000014474977,0.00017144528,0.98573303,0.000019552414,0.000040766703,0.0012216507,0.00042120388,0.0028191092,0.00090683956,0.0013384575,0.0072946534,0.00001889323],"about_ca_topic_score_codex":0.0026173636,"about_ca_topic_score_gemma":0.0028878176,"teacher_disagreement_score":0.0026391994,"about_ca_system_score_codex":0.0010837781,"about_ca_system_score_gemma":0.00040478565,"threshold_uncertainty_score":0.007863402},"labels":[],"label_agreement":null},{"id":"W2033180244","doi":"10.1108/10867370610711039","title":"A reformulated asset pricing model based on contrarian strategies","year":2006,"lang":"en","type":"article","venue":"Studies in Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Brock University","funders":"","keywords":"Contrarian; Economics; Capital asset pricing model; Microeconomics; Value (mathematics); Originality; Arbitrage; Rational expectations; Stock (firearms); Financial economics; Econometrics; Computer science","score_opus":0.0325824347501597,"score_gpt":0.23726566433393406,"score_spread":0.20468322958377436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033180244","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07804439,0.0006298123,0.8748459,0.0021879906,0.00013332657,0.0001209982,0.0003698315,0.00019500585,0.043472722],"genre_scores_gemma":[0.88306093,0.0006375646,0.07047458,0.00033380341,0.00016715012,0.00022650184,0.00023021513,0.00005393514,0.044815406],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995034,0.00018492133,0.000022187713,0.0001060408,0.00010941148,0.00007414485],"domain_scores_gemma":[0.99935657,0.00028528206,0.00011073688,0.00006732307,0.00012597797,0.000054139164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012843221,0.00050388,0.00083115476,0.0005523773,0.0003409438,0.0020024744,0.0019140781,0.0018041511,0.0058409376],"category_scores_gemma":[0.0025847687,0.00032992964,0.0010390744,0.0005723466,0.0008409935,0.0021795947,0.00072205433,0.0015610943,0.000775877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029770423,0.000055802302,0.0010225385,0.000033553733,0.000035137462,0.00020366891,0.00017744357,0.3972494,0.0008231649,0.587464,0.0015539522,0.011351592],"study_design_scores_gemma":[0.000013758044,0.000020505233,0.00019639693,0.0000054813413,0.0000101912165,0.000055258737,0.000014242842,0.9346411,0.00007442914,0.06365543,0.0013036953,0.000009543953],"about_ca_topic_score_codex":0.0050647347,"about_ca_topic_score_gemma":0.0025861422,"teacher_disagreement_score":0.0058409376,"about_ca_system_score_codex":0.0011727018,"about_ca_system_score_gemma":0.0010720724,"threshold_uncertainty_score":0.019539833},"labels":[],"label_agreement":null},{"id":"W2033327893","doi":"10.1016/j.ememar.2010.01.003","title":"On the relationship between economic freedom and equity returns in the emerging markets: Evidence from the Middle East and North Africa (MENA) stock markets","year":2010,"lang":"en","type":"article","venue":"Emerging Markets Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fraser Institute; Ontario Tech University","funders":"","keywords":"Economic freedom; Equity (law); Index of Economic Freedom; Middle East; Economics; Equity capital markets; Stock market; Emerging markets; Equity risk; Stock (firearms); Financial economics; Business cycle; Monetary economics; Business; Finance; Private equity; Market economy; Macroeconomics; Political science; Geography","score_opus":0.18839906901931772,"score_gpt":0.27871397209193677,"score_spread":0.09031490307261905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033327893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96747255,0.020940822,0.00015263852,0.0026157466,0.000033686258,0.000008971876,0.0002490901,0.0000016529976,0.008524899],"genre_scores_gemma":[0.98787236,0.011433772,0.000047565714,0.00009207411,0.00005545764,0.0000017394285,0.00012575476,9.89812e-7,0.00037024688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969363,0.00010158412,0.000032779983,0.00003735478,0.00006863287,0.00006608603],"domain_scores_gemma":[0.9848416,0.008592967,0.004876311,0.00026375634,0.0008834635,0.0005419619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017681894,0.00019627975,0.00026925522,0.0013095072,0.0004138754,0.0014915868,0.00028076372,0.0004810702,0.0032329622],"category_scores_gemma":[0.007798646,0.000114517214,0.00035110308,0.0023929635,0.0012365774,0.0017004415,0.00070376217,0.0007689928,0.00017343975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035640664,0.00011700447,0.94686925,0.00028572773,0.00038397196,0.00065331534,0.0012425468,0.00053592445,0.00040059997,0.007578247,0.0010735332,0.04050348],"study_design_scores_gemma":[0.000014496092,0.000053686083,0.9926957,0.00011562259,0.00018303846,0.00011479866,0.0018208559,0.00024701274,0.00011315454,0.0016758321,0.0029569096,0.000008941453],"about_ca_topic_score_codex":0.015334352,"about_ca_topic_score_gemma":0.018937131,"teacher_disagreement_score":0.015334352,"about_ca_system_score_codex":0.00040364562,"about_ca_system_score_gemma":0.00059462246,"threshold_uncertainty_score":0.03049016},"labels":[],"label_agreement":null},{"id":"W2033396935","doi":"10.1080/09603100110111268","title":"Expected returns and economic risk in Canadian financial markets","year":2003,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Portfolio; Econometrics; Bond; Stock (firearms); Latent variable; Factor analysis; Financial economics; Capital asset pricing model; Asset (computer security); Financial market; Asset allocation; Finance; Statistics","score_opus":0.009969101527161937,"score_gpt":0.17332905213453123,"score_spread":0.1633599506073693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033396935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9563391,0.0017422689,0.023279727,0.0025850509,0.000024977016,0.000048699847,0.001209041,0.00019260998,0.014578549],"genre_scores_gemma":[0.99497014,0.00047785207,0.0014909228,0.000031916057,0.00000833597,0.000005916909,0.00033934915,0.000017060935,0.0026584961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992932,0.0001501068,0.000036574078,0.00011395341,0.00022037061,0.00018570077],"domain_scores_gemma":[0.9972083,0.0014891971,0.0004750373,0.00011156066,0.00053855224,0.0001773621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025024668,0.00047535312,0.00054347486,0.0016645028,0.0011512822,0.003290786,0.0010103394,0.00056706916,0.0023822393],"category_scores_gemma":[0.017045053,0.00035942846,0.00073490303,0.0016967036,0.0014086155,0.0020014923,0.0008162911,0.0011289793,0.0001536195],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029698687,0.00008757554,0.26992372,0.00009802497,0.00021188402,0.00054088625,0.001535079,0.39507595,0.0006461626,0.26605478,0.00401883,0.061510157],"study_design_scores_gemma":[0.00006266502,0.000036386355,0.23725273,0.00007228648,0.00008998557,0.00014590578,0.00061132415,0.6887332,0.0006268454,0.06509516,0.0071292645,0.00014424032],"about_ca_topic_score_codex":0.94844854,"about_ca_topic_score_gemma":0.90213984,"teacher_disagreement_score":0.05155146,"about_ca_system_score_codex":0.021557113,"about_ca_system_score_gemma":0.010496246,"threshold_uncertainty_score":0.15640855},"labels":[],"label_agreement":null},{"id":"W2033440375","doi":"10.2139/ssrn.1653159","title":"How Passive are International ETFs? A Study of Their Intraday Behaviour","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Business","score_opus":0.01331041927001883,"score_gpt":0.20477998289224822,"score_spread":0.1914695636222294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033440375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98673755,0.00038017254,0.0027952732,0.00021352447,0.000012957973,0.000010514583,0.00017872141,0.000023664648,0.00964769],"genre_scores_gemma":[0.99719644,0.00019537471,0.00039087408,0.000023668958,0.000017446853,0.0000058431783,0.0001396785,0.000014788056,0.002015934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964666,0.000101502745,0.000029795598,0.00007113856,0.00008641464,0.00006452018],"domain_scores_gemma":[0.98764265,0.007187733,0.0025721244,0.0007214007,0.0011359334,0.00074014964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015886637,0.00017583408,0.00032275822,0.0009244111,0.0005037025,0.0023714798,0.00045737415,0.000744264,0.0039687944],"category_scores_gemma":[0.017716505,0.00016352597,0.00018287907,0.0014287864,0.00038906827,0.0026595502,0.0005807481,0.00078418007,0.0007165099],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015770352,0.00038083593,0.7444953,0.0001341018,0.00020479759,0.00082969293,0.008016869,0.007871614,0.011549968,0.058510724,0.0049764086,0.16145271],"study_design_scores_gemma":[0.00005248918,0.00052559056,0.86721474,0.000094826886,0.00014651513,0.0021066202,0.00894232,0.062827125,0.0039827307,0.030582996,0.023432141,0.00009202418],"about_ca_topic_score_codex":0.0019176961,"about_ca_topic_score_gemma":0.0011252483,"teacher_disagreement_score":0.0039687944,"about_ca_system_score_codex":0.00040844455,"about_ca_system_score_gemma":0.00012885233,"threshold_uncertainty_score":0.013276994},"labels":[],"label_agreement":null},{"id":"W2033516997","doi":"10.1002/ijfe.387","title":"Is prior performance priced through closed‐end fund discounts?","year":2009,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Net asset value; Closed-end fund; Unit trust; Economics; Asset (computer security); Value (mathematics); Monetary economics; Mutual fund; Financial economics; Business; Finance","score_opus":0.042098998433197005,"score_gpt":0.2598651971818939,"score_spread":0.21776619874869688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033516997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98311687,0.00038688973,0.0042579453,0.0011186728,0.000045344827,0.000016077614,0.00025820188,0.000046424662,0.010753463],"genre_scores_gemma":[0.9989114,0.00004611574,0.0001025778,0.000025516958,0.00003457644,0.0000015144409,0.000048502865,0.0000065553654,0.0008233653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991203,0.0001463345,0.00007586768,0.00021961461,0.00028644592,0.00015138305],"domain_scores_gemma":[0.9573006,0.019214308,0.016852483,0.0023299968,0.0017098347,0.002592783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025535235,0.00023417712,0.00057028065,0.0008313959,0.00044348385,0.0033611483,0.0009268258,0.0012238054,0.013842205],"category_scores_gemma":[0.05256811,0.00034034692,0.00044755236,0.0005848146,0.0014734386,0.0036271752,0.0008920867,0.0020124947,0.0005607327],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002367195,0.00059323286,0.8196688,0.00024196028,0.00042028495,0.0014805166,0.0015209835,0.011675322,0.0055311676,0.067135826,0.0033407593,0.08602393],"study_design_scores_gemma":[0.000095425174,0.0005530847,0.86170846,0.00011574626,0.00030142962,0.0009367524,0.0010226645,0.042162873,0.003168097,0.08641426,0.0033639173,0.00015732607],"about_ca_topic_score_codex":0.0047607454,"about_ca_topic_score_gemma":0.0029783852,"teacher_disagreement_score":0.013842205,"about_ca_system_score_codex":0.0015734911,"about_ca_system_score_gemma":0.00031405388,"threshold_uncertainty_score":0.04630673},"labels":[],"label_agreement":null},{"id":"W2033743992","doi":"10.2139/ssrn.1553222","title":"Trading Activity and Bid-Ask Spreads of Individual Equity Options","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Rotman School of Management, University of Toronto","keywords":"Bid price; Ask price; Equity (law); Business; Financial economics; Economics; Actuarial science; Finance; Political science; Law","score_opus":0.02904197870548854,"score_gpt":0.249316333671524,"score_spread":0.22027435496603548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033743992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986525,0.000103337195,0.0005787876,0.000021303513,0.0000016490623,0.00000228492,0.000083726925,0.000006533448,0.00054986886],"genre_scores_gemma":[0.99948585,0.000029367371,0.00013796282,0.0000028036452,0.0000035455798,0.0000014188183,0.00008133421,0.0000035209046,0.0002541567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979883,0.000061922336,0.00002255507,0.00003715473,0.00004792075,0.000031650492],"domain_scores_gemma":[0.9831456,0.013414221,0.0016968262,0.0005016567,0.00052345265,0.00071829365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010247857,0.00021536012,0.00027135556,0.00076334283,0.0001592245,0.0013014594,0.00036011837,0.00069270044,0.0042371326],"category_scores_gemma":[0.014931437,0.00022719409,0.00027719987,0.00055485766,0.00025245303,0.0015890813,0.0004047818,0.0007844417,0.0005539401],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008415192,0.0009825473,0.7629866,0.0001854424,0.00075991,0.0016649502,0.001720021,0.059733987,0.09154507,0.022448,0.0007598977,0.048798304],"study_design_scores_gemma":[0.0000885079,0.00047119273,0.73127925,0.000025276211,0.00017580358,0.001764696,0.0004149997,0.23112191,0.01130372,0.022803789,0.00048015956,0.00007065347],"about_ca_topic_score_codex":0.00053064985,"about_ca_topic_score_gemma":0.00048719003,"teacher_disagreement_score":0.0042371326,"about_ca_system_score_codex":0.00016713592,"about_ca_system_score_gemma":0.00010116002,"threshold_uncertainty_score":0.01417464},"labels":[],"label_agreement":null},{"id":"W2033883655","doi":"10.1017/s002210901000061x","title":"Trading Volume in Dealer Markets","year":2010,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Volatility (finance); Economics; Order (exchange); Volume (thermodynamics); High-frequency trading; Order book; Market microstructure; Financial economics; Econometrics; Algorithmic trading; Value (mathematics); Monetary economics; Mathematics; Finance","score_opus":0.029201341848130096,"score_gpt":0.24786570002862973,"score_spread":0.21866435818049965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033883655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8517449,0.00086734566,0.1232717,0.0014597895,0.00006443154,0.000052134183,0.00026666682,0.00023986254,0.02203319],"genre_scores_gemma":[0.99625766,0.00010882502,0.0016190514,0.000031674994,0.000042197837,0.000016375201,0.000034724006,0.000009599201,0.0018798877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990532,0.0004024149,0.00003908559,0.00014492919,0.00023208637,0.00012830332],"domain_scores_gemma":[0.9945041,0.0034086017,0.0013086445,0.00029606596,0.00021854218,0.00026419281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016166584,0.00043542613,0.0008450135,0.0008356021,0.00031861954,0.0029422545,0.0008453783,0.0013121713,0.0031406765],"category_scores_gemma":[0.009944663,0.00036198343,0.0004768578,0.0006126168,0.0010591702,0.0038225658,0.0008225373,0.000935196,0.0003634461],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047204213,0.00034121907,0.025013516,0.00010097201,0.00011456313,0.00078699994,0.0005217093,0.55957186,0.0052545373,0.38817275,0.0013084388,0.018341437],"study_design_scores_gemma":[0.00007305466,0.000102981634,0.005224219,0.000012527904,0.000027388105,0.00013477028,0.000035318604,0.8080256,0.0006337364,0.1848663,0.00083399547,0.000030120369],"about_ca_topic_score_codex":0.0008737548,"about_ca_topic_score_gemma":0.00040709318,"teacher_disagreement_score":0.0031406765,"about_ca_system_score_codex":0.00071632426,"about_ca_system_score_gemma":0.00038983772,"threshold_uncertainty_score":0.01050663},"labels":[],"label_agreement":null},{"id":"W2034202096","doi":"10.5539/ijef.v4n10p93","title":"A Study of “Inflation Indexed Bonds” in Indian Debt Market","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bond; Inflation (cosmology); Economics; Purchasing power; Bond market; Debt; Monetary economics; Zero-coupon bond; Yield (engineering); Value (mathematics); Real interest rate; Bond market index; Keynesian economics; Interest rate; Financial economics; Macroeconomics; Finance; Mathematics","score_opus":0.025076627674135165,"score_gpt":0.23087777169059623,"score_spread":0.20580114401646107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034202096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758671,0.0009104633,0.0018434834,0.0012238176,0.000025278709,0.000016141246,0.00007398524,0.000017013603,0.020022755],"genre_scores_gemma":[0.9982913,0.00029950976,0.00015046385,0.000037003763,0.0000235291,0.0000029755156,0.000032704356,0.0000023857328,0.0011600917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996933,0.00008449959,0.00001591507,0.00003889445,0.00007753785,0.00008976707],"domain_scores_gemma":[0.9987472,0.0003582676,0.00048464313,0.00004441992,0.00018276021,0.000182652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004915993,0.000104733765,0.00024621078,0.00082420994,0.0006654822,0.0022602128,0.00035918714,0.0005080272,0.002997293],"category_scores_gemma":[0.002683542,0.00012035181,0.0002790776,0.0011093847,0.00059449574,0.0017643153,0.00039857635,0.0007819952,0.00018116762],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005258798,0.0006446077,0.2919996,0.00034687648,0.00013559016,0.007834895,0.0063829958,0.013246974,0.016162956,0.6061008,0.007341996,0.049276803],"study_design_scores_gemma":[0.00008166425,0.0007628759,0.6012273,0.00019510138,0.00019555219,0.005573742,0.01724928,0.18502973,0.0058371103,0.14774974,0.035913397,0.00018456367],"about_ca_topic_score_codex":0.004318902,"about_ca_topic_score_gemma":0.0021342533,"teacher_disagreement_score":0.004318902,"about_ca_system_score_codex":0.0007108671,"about_ca_system_score_gemma":0.00043994864,"threshold_uncertainty_score":0.010026872},"labels":[],"label_agreement":null},{"id":"W2034312267","doi":"10.5539/ibr.v6n3p165","title":"Relevant Factors to Explain Cross-Section of Expected Returns of the Firms Listed in the Dhaka Stock Exchange","year":2013,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Economics; Dividend yield; Stock (firearms); Stock exchange; Volatility (finance); Financial economics; Econometrics; Dividend; Stock market; Monetary economics; Dividend policy; Finance","score_opus":0.11851728724767736,"score_gpt":0.3330688471940126,"score_spread":0.21455155994633524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034312267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99334526,0.0010814253,0.0022143607,0.0002316154,0.000020296062,0.0000276245,0.00053833297,0.000021838508,0.0025192834],"genre_scores_gemma":[0.99839467,0.0001994329,0.00022800358,0.000015579833,0.000019946858,0.000006786551,0.00057299715,0.0000044148505,0.00055809336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942434,0.000113843,0.00007643859,0.00012895503,0.00012009502,0.00013632541],"domain_scores_gemma":[0.9915011,0.005355208,0.0016453183,0.00060663687,0.00046755993,0.00042418708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00161873,0.0005073163,0.00044560715,0.0020980372,0.0003995702,0.0016334039,0.0004698898,0.0007143833,0.0042257407],"category_scores_gemma":[0.0071802256,0.00027373523,0.00095374166,0.0014643046,0.00035078335,0.00093966356,0.0007261646,0.00086565514,0.00070834643],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009322522,0.00006503938,0.9834141,0.00003920198,0.00038764777,0.00064811984,0.00013683956,0.0038659154,0.0011889447,0.0018955971,0.00034369197,0.007921631],"study_design_scores_gemma":[0.000010272088,0.000039662093,0.98610514,0.000013384532,0.00017439158,0.00023833504,0.00018422934,0.010456493,0.0005899802,0.0015014303,0.00066970586,0.0000170258],"about_ca_topic_score_codex":0.0070858593,"about_ca_topic_score_gemma":0.007224486,"teacher_disagreement_score":0.0070858593,"about_ca_system_score_codex":0.00068471604,"about_ca_system_score_gemma":0.00052891654,"threshold_uncertainty_score":0.014136493},"labels":[],"label_agreement":null},{"id":"W2034418279","doi":"10.2139/ssrn.1088832","title":"The Impact of Competition and Information on Intraday Trading","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Competition (biology); Business; Industrial organization; Financial economics; Economics","score_opus":0.01732230410061517,"score_gpt":0.20078888811678167,"score_spread":0.1834665840161665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034418279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855693,0.0007978737,0.001423818,0.0013521013,0.00004153342,0.000008028541,0.00034118243,0.00003636597,0.010429729],"genre_scores_gemma":[0.99893516,0.00013576382,0.000101027836,0.000043868065,0.00003287754,9.877331e-7,0.00006698759,0.000009075421,0.0006742573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897635,0.00038650233,0.000070250564,0.00013947749,0.00018304723,0.0002443943],"domain_scores_gemma":[0.89347404,0.09305419,0.0060310755,0.0017211216,0.0023725647,0.00334703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029228607,0.00032559567,0.0008910648,0.0009188719,0.00076529296,0.005800365,0.0006379353,0.0021178154,0.0104723675],"category_scores_gemma":[0.04602942,0.00041099504,0.0005550152,0.00097310654,0.0013302136,0.004979892,0.001118371,0.002041412,0.00072821934],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.017581554,0.0043598376,0.4525698,0.00080606487,0.0010010256,0.004681214,0.0018864897,0.20057754,0.024719877,0.17151333,0.0134615395,0.10684161],"study_design_scores_gemma":[0.00077117706,0.0018221131,0.42743272,0.000118102485,0.000851312,0.0013076992,0.001988702,0.36731762,0.0058969785,0.18804899,0.0040671867,0.0003774273],"about_ca_topic_score_codex":0.0050067934,"about_ca_topic_score_gemma":0.005233529,"teacher_disagreement_score":0.0104723675,"about_ca_system_score_codex":0.0011284663,"about_ca_system_score_gemma":0.0008765352,"threshold_uncertainty_score":0.035033524},"labels":[],"label_agreement":null},{"id":"W2034671104","doi":"10.5539/ibr.v5n3p40","title":"Factors Affecting the Disposition Effect in Tehran Stock Market","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disposition effect; Overconfidence effect; Disposition; Psychology; Regret; Statistical significance; Social psychology; Econometrics; Stock exchange; Economics; Statistics; Mathematics; Geography","score_opus":0.0950549031992182,"score_gpt":0.33339302948702476,"score_spread":0.23833812628780657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034671104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994654,0.000025308906,0.000030775023,0.000026322494,0.000001998754,0.0000028150573,0.0000113036,5.846253e-7,0.00043543326],"genre_scores_gemma":[0.99983263,0.000022072025,0.000028566617,0.000005981741,0.000003515029,9.3030786e-7,0.000019041998,1.847436e-7,0.00008717533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996816,0.0000860494,0.00004597164,0.000029931382,0.00010017867,0.000056242592],"domain_scores_gemma":[0.99728286,0.00066596724,0.0013506811,0.00014567669,0.00019148969,0.00036326607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006930474,0.00010399534,0.0001313225,0.00051952666,0.0003467511,0.0006060792,0.00010179656,0.00025649898,0.0019704443],"category_scores_gemma":[0.003381486,0.00007577039,0.000246223,0.00034622045,0.00029400032,0.00024245789,0.0002574685,0.00039799826,0.0001190035],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010366047,0.00013038516,0.9953761,0.000006844149,0.0000204607,0.00011484623,0.00027473934,0.000102518374,0.00047496738,0.00014725637,0.00004425395,0.003203979],"study_design_scores_gemma":[0.0000024371066,0.00005447471,0.99924964,0.0000020057382,0.0000048608695,0.00006377522,0.00027464886,0.00015128775,0.00006456779,0.000070274196,0.000059483315,0.0000025329286],"about_ca_topic_score_codex":0.002738313,"about_ca_topic_score_gemma":0.0050712936,"teacher_disagreement_score":0.002738313,"about_ca_system_score_codex":0.00028991888,"about_ca_system_score_gemma":0.00033828968,"threshold_uncertainty_score":0.006591797},"labels":[],"label_agreement":null},{"id":"W2034948343","doi":"10.1016/s0927-5398(02)00008-7","title":"The dual contributions of information instruments in return models: magnitude and direction predictability","year":2002,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Professional Engineers Ontario; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Koç Üniversitesi","keywords":"Predictability; Sign (mathematics); Econometrics; Heteroscedasticity; Magnitude (astronomy); Asset (computer security); Economics; Dual (grammatical number); Computer science; Mathematics; Statistics","score_opus":0.040095330506952576,"score_gpt":0.249959653207891,"score_spread":0.20986432270093844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034948343","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30769563,0.0030432546,0.6615069,0.013376129,0.0005705066,0.00007158332,0.00044117845,0.00062428706,0.01267044],"genre_scores_gemma":[0.9780425,0.0018376485,0.015451584,0.0004962283,0.0010724788,0.000047596564,0.0002044435,0.00017207349,0.002675367],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973787,0.0011006024,0.00021101981,0.00048322591,0.0005562283,0.0002702428],"domain_scores_gemma":[0.89930326,0.081916325,0.0073985946,0.0072351745,0.0030833578,0.0010633323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010667109,0.0011443824,0.0017537336,0.0019687947,0.0006162514,0.0059252298,0.0017028856,0.003323693,0.0022012219],"category_scores_gemma":[0.103660785,0.0014669033,0.0012153821,0.0018946299,0.0038967712,0.0127268,0.0038673826,0.005176578,0.0004784879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041960008,0.00018078624,0.029173743,0.00019903069,0.0002711592,0.00037032893,0.00063926046,0.24148983,0.0021740494,0.6384804,0.003660541,0.08294121],"study_design_scores_gemma":[0.000046534933,0.00006544134,0.004107473,0.000050018294,0.00009556957,0.00012335557,0.000056963177,0.4939511,0.000682066,0.500069,0.0006706304,0.000081902224],"about_ca_topic_score_codex":0.000813964,"about_ca_topic_score_gemma":0.00063681876,"teacher_disagreement_score":0.010667109,"about_ca_system_score_codex":0.0007865907,"about_ca_system_score_gemma":0.0010447074,"threshold_uncertainty_score":0.05641377},"labels":[],"label_agreement":null},{"id":"W2034987672","doi":"10.2139/ssrn.1712472","title":"Speculation and Hedging in Segmented Markets","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Speculation; Economics; Financial economics; Business; Monetary economics; Finance","score_opus":0.014266188716182656,"score_gpt":0.20498313072764512,"score_spread":0.19071694201146247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034987672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97669256,0.0015118805,0.016517939,0.0015919505,0.00005531674,0.000010993396,0.00008274721,0.00005458804,0.003482089],"genre_scores_gemma":[0.99825686,0.0003032157,0.000542735,0.000026130092,0.000057835303,0.0000030134936,0.000041782896,0.0000047366657,0.0007636252],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99971193,0.00010812585,0.000027579494,0.000048768263,0.000044084638,0.00005947872],"domain_scores_gemma":[0.98749137,0.009060182,0.0019295907,0.0004463869,0.0003724326,0.00069994904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026619858,0.00042243802,0.0009056157,0.0007836273,0.0005709401,0.003365082,0.0006215791,0.0018457341,0.004227535],"category_scores_gemma":[0.016431538,0.00048608257,0.0006571709,0.00072702253,0.0017765462,0.0050143367,0.0011268063,0.0012259458,0.00018041379],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020221733,0.00039080056,0.08515478,0.00032727854,0.00037046612,0.0034139198,0.001851832,0.18071061,0.0047029336,0.6821205,0.0030804125,0.03585427],"study_design_scores_gemma":[0.00009728524,0.00016249153,0.016903432,0.000027811566,0.00006734871,0.0002132455,0.00035271043,0.37610754,0.00046594825,0.6050369,0.0005236115,0.000041698222],"about_ca_topic_score_codex":0.0018394897,"about_ca_topic_score_gemma":0.0012846299,"teacher_disagreement_score":0.004227535,"about_ca_system_score_codex":0.00070953043,"about_ca_system_score_gemma":0.0005064148,"threshold_uncertainty_score":0.014142573},"labels":[],"label_agreement":null},{"id":"W2035323816","doi":"10.1142/s0219091507001185","title":"Transitory Price Changes in the Chinese Stock Markets","year":2007,"lang":"en","type":"article","venue":"Review of Pacific Basin Financial Markets and Policies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Stock (firearms); Stock exchange; Monetary economics; Stock price; Financial economics; Negative correlation; Econometrics; Internal medicine; Finance; Biology","score_opus":0.01742390321006443,"score_gpt":0.2425714587328018,"score_spread":0.22514755552273738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035323816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99809283,0.00042581424,0.00016834536,0.000053829404,0.0000050561453,0.000005276854,0.0000848176,0.000006228544,0.0011577674],"genre_scores_gemma":[0.9992132,0.00033337323,0.00006774193,0.000009989533,0.000013459807,0.0000020225064,0.00008530282,0.0000012975593,0.0002736524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997086,0.00003619461,0.000034409248,0.000051339746,0.00012490338,0.000044486093],"domain_scores_gemma":[0.9989491,0.00017195572,0.0005503964,0.00004906354,0.00018863789,0.00009081146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006997862,0.00013909892,0.00023583589,0.0019083931,0.00025745967,0.0010391016,0.00037684388,0.0002491218,0.00094182376],"category_scores_gemma":[0.0029478904,0.00011567112,0.0002058319,0.0018116893,0.00046553338,0.00076158094,0.00033066113,0.00021312539,0.00012800405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003564852,0.000114069655,0.9047799,0.00024314097,0.00026029153,0.0021657292,0.0016412877,0.0048790826,0.013800422,0.007875679,0.0010103342,0.06287365],"study_design_scores_gemma":[0.000007051929,0.00004520844,0.99371225,0.000009061213,0.00004095932,0.00012626109,0.00023584157,0.003465982,0.0006206869,0.0008616465,0.00086287374,0.000012140296],"about_ca_topic_score_codex":0.012902004,"about_ca_topic_score_gemma":0.010782451,"teacher_disagreement_score":0.012902004,"about_ca_system_score_codex":0.0007778888,"about_ca_system_score_gemma":0.00041930744,"threshold_uncertainty_score":0.02565378},"labels":[],"label_agreement":null},{"id":"W2035481733","doi":"10.2139/ssrn.962187","title":"Implications of Sharpe Ratio as a Performance Measure in Multi-Period Settings","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Sharpe ratio; Period (music); Measure (data warehouse); Econometrics; Economics; Computer science; Financial economics; Portfolio; Data mining; Philosophy","score_opus":0.020587269730385504,"score_gpt":0.23424894591596446,"score_spread":0.21366167618557896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035481733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52180004,0.019805748,0.32311013,0.08543252,0.002095217,0.00034425102,0.001565579,0.00074019533,0.04510634],"genre_scores_gemma":[0.98344755,0.0016199506,0.009852347,0.0009315947,0.0012130267,0.00006599419,0.00013709397,0.00006523428,0.0026671092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9856478,0.00991169,0.00067931187,0.0016534623,0.0011259374,0.0009817492],"domain_scores_gemma":[0.71323216,0.24553327,0.022433197,0.008769797,0.0047708075,0.005260782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.040746693,0.0015273213,0.003462563,0.0022842828,0.0014396858,0.007174707,0.004065237,0.005653833,0.010517637],"category_scores_gemma":[0.18633048,0.00092295854,0.0015824814,0.002921406,0.004311637,0.013879023,0.0038319516,0.008488092,0.00044199385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020419802,0.0007131807,0.029413685,0.0004346186,0.00076364196,0.0016808016,0.0007151579,0.12417435,0.00085741386,0.76848537,0.013728032,0.05699185],"study_design_scores_gemma":[0.0003311785,0.00060709205,0.011546852,0.00012811173,0.00019019289,0.0003603122,0.0007586903,0.35893846,0.0006325152,0.62420493,0.0021924465,0.000109239314],"about_ca_topic_score_codex":0.003421878,"about_ca_topic_score_gemma":0.0018421935,"teacher_disagreement_score":0.040746693,"about_ca_system_score_codex":0.0022224456,"about_ca_system_score_gemma":0.002172361,"threshold_uncertainty_score":0.21549165},"labels":[],"label_agreement":null},{"id":"W2036344053","doi":"10.1017/cbo9780511844393.007","title":"Market Microstructure and Securities Values Evidence from the Tel Aviv Stock Exchange＊","year":2012,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tel aviv; Stock exchange; Business; Stock market; Financial system; Financial economics; Economics; Finance; Geography; Computer science; Library science; Archaeology","score_opus":0.03917211226944672,"score_gpt":0.18728314716522917,"score_spread":0.14811103489578245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036344053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8965712,0.003792986,0.00044200436,0.009325167,0.000093279334,0.00006981018,0.013849875,0.000096860844,0.07575883],"genre_scores_gemma":[0.98301893,0.0010197976,0.00018487936,0.00036108255,0.00017615658,0.000018624296,0.00801264,0.000019359999,0.007188449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994135,0.00006139522,0.00007167965,0.000077120334,0.00029553467,0.00008074391],"domain_scores_gemma":[0.9850065,0.003489273,0.007042478,0.00079844624,0.0026649924,0.000998291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011862698,0.00019964269,0.00030092348,0.00240417,0.0006478633,0.0029361215,0.0003843721,0.0006250392,0.015685778],"category_scores_gemma":[0.013180594,0.00015322876,0.00020497524,0.0026065116,0.0004924435,0.001835819,0.0008103155,0.00081633346,0.0026679882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055546797,0.0001500587,0.9135576,0.00010715644,0.00018334063,0.0002793713,0.0008598479,0.00056761544,0.0006485476,0.016297247,0.030014094,0.0367798],"study_design_scores_gemma":[0.000024586134,0.000043190725,0.985951,0.000026013888,0.000020425176,0.000059544054,0.00033142747,0.0005209545,0.00018342574,0.0025120536,0.010316223,0.000011117565],"about_ca_topic_score_codex":0.032259557,"about_ca_topic_score_gemma":0.04406624,"teacher_disagreement_score":0.032259557,"about_ca_system_score_codex":0.0019622385,"about_ca_system_score_gemma":0.00060637214,"threshold_uncertainty_score":0.06414354},"labels":[],"label_agreement":null},{"id":"W2037240397","doi":"10.3905/jpm.2009.35.3.048","title":"Long-Only: <i>The Natural Benchmark Choice for 130/30</i>","year":2009,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Benchmark (surveying); Investment strategy; Hedge fund; Portfolio; Equity (law); Asset allocation; Extension (predicate logic); Investment (military); Index (typography); Economics; Business; Financial economics; Actuarial science; Finance; Econometrics; Computer science","score_opus":0.016648927440073184,"score_gpt":0.2287682358187933,"score_spread":0.21211930837872012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037240397","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27145925,0.013734728,0.10919004,0.03214103,0.0045142625,0.00042028204,0.0023238906,0.0010628244,0.5651538],"genre_scores_gemma":[0.93153775,0.0014693034,0.02473309,0.0038282364,0.0007155808,0.00025876067,0.0007712984,0.00022571186,0.036460236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99769515,0.0005913492,0.00023357644,0.0002488695,0.00096045894,0.00027053797],"domain_scores_gemma":[0.99585646,0.0005815768,0.0009207025,0.0004392847,0.001551282,0.0006506184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031068956,0.00056767755,0.0004201064,0.0009482164,0.0007837341,0.005018256,0.0011663279,0.0020232045,0.007989552],"category_scores_gemma":[0.010651144,0.00014709026,0.00027093678,0.001312077,0.0011662418,0.0040740245,0.001505922,0.0014354768,0.002557998],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057847926,0.0004044933,0.0142290825,0.00036406235,0.00008603786,0.00020892739,0.00076090335,0.0020404798,0.008087652,0.6605005,0.066098,0.24664147],"study_design_scores_gemma":[0.000115244555,0.0017469942,0.06306329,0.0010943364,0.00006925401,0.000828983,0.0026041435,0.011837586,0.02345328,0.45429942,0.4406465,0.00024094683],"about_ca_topic_score_codex":0.0023144411,"about_ca_topic_score_gemma":0.003136675,"teacher_disagreement_score":0.007989552,"about_ca_system_score_codex":0.001788004,"about_ca_system_score_gemma":0.0012169738,"threshold_uncertainty_score":0.026727736},"labels":[],"label_agreement":null},{"id":"W2037814537","doi":"10.1093/rfs/hhn057","title":"Systematic Risk and the Price Structure of Individual Equity Options","year":2008,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Systematic risk; Equity (law); Volatility (finance); Economics; Econometrics; Implied volatility; Valuation of options; Financial economics; Variance swap; Variance (accounting); Actuarial science; Volatility risk premium; Accounting","score_opus":0.05848231006233014,"score_gpt":0.27496543253635425,"score_spread":0.21648312247402413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037814537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965701,0.011922664,0.014298433,0.0002675581,0.000015081559,0.000017705443,0.0001154104,0.00001927519,0.0076428526],"genre_scores_gemma":[0.99631786,0.0020408535,0.0010249306,0.00001948597,0.000016954991,0.00000494925,0.000042641142,0.0000027925075,0.0005295194],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937516,0.00024250617,0.00004750629,0.0000633063,0.00023765017,0.00003386319],"domain_scores_gemma":[0.9949765,0.0029246393,0.0013199503,0.00018247211,0.0005221959,0.000074289885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011616079,0.00019563551,0.0003179571,0.0012540013,0.000130057,0.00088598725,0.00028110176,0.00050583394,0.001018159],"category_scores_gemma":[0.009547953,0.00015411012,0.00025315734,0.0013499659,0.0003385296,0.0011900244,0.00038282052,0.0002886744,0.00014762365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009865923,0.00025800738,0.47120732,0.0014695325,0.0020655028,0.002598536,0.0014283767,0.07826109,0.031778824,0.12523912,0.0014824012,0.28322464],"study_design_scores_gemma":[0.00008155839,0.00066141575,0.6271791,0.0003426473,0.00063672976,0.0018016337,0.0009950241,0.09342204,0.0076829433,0.26010397,0.006958146,0.00013481324],"about_ca_topic_score_codex":0.00090208213,"about_ca_topic_score_gemma":0.0012198956,"teacher_disagreement_score":0.0012540013,"about_ca_system_score_codex":0.0003108309,"about_ca_system_score_gemma":0.00029656722,"threshold_uncertainty_score":0.0061432123},"labels":[],"label_agreement":null},{"id":"W2038139976","doi":"10.1111/j.1468-5957.2006.00618.x","title":"The Price Impacts of Open Market Repurchase Trades","year":2006,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Share repurchase; Business; Open market operation; Monetary economics; Stock price; Stock exchange; Stock (firearms); Economics; Finance","score_opus":0.027857806772736905,"score_gpt":0.23723660221929913,"score_spread":0.2093787954465622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038139976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99617225,0.0006733255,0.00015618124,0.00006695558,0.0000088750585,0.0000103758875,0.0014356154,0.000022419674,0.0014540147],"genre_scores_gemma":[0.9979184,0.00014197244,0.000056283585,0.000009518075,0.000029837758,0.0000030527528,0.001423099,0.0000037583322,0.00041401078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830663,0.0001975646,0.00019387975,0.00018026965,0.00091295724,0.00020878945],"domain_scores_gemma":[0.96870965,0.0096620275,0.016602635,0.0013949675,0.0027854582,0.0008452253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001225756,0.00023293278,0.00027682853,0.0020355154,0.00029976404,0.0016979922,0.0004464441,0.000446638,0.0031547786],"category_scores_gemma":[0.01111776,0.00014767107,0.00035449196,0.001868728,0.00040919302,0.0009517351,0.0007996244,0.00072977867,0.00058808166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011306792,0.00024514715,0.9557487,0.00015826938,0.000236373,0.0009887541,0.00042598642,0.002145573,0.0035490629,0.00056938874,0.0016768894,0.033125196],"study_design_scores_gemma":[0.000018156432,0.00015626296,0.99386877,0.00001285631,0.000058244488,0.00038223996,0.0002022112,0.0019368199,0.0017622656,0.00016690006,0.0014215991,0.000013642496],"about_ca_topic_score_codex":0.0057616285,"about_ca_topic_score_gemma":0.0077729016,"teacher_disagreement_score":0.0057616285,"about_ca_system_score_codex":0.00091057393,"about_ca_system_score_gemma":0.00022670503,"threshold_uncertainty_score":0.011456192},"labels":[],"label_agreement":null},{"id":"W2038145160","doi":"10.2139/ssrn.1004967","title":"Interaction of Investor Trades and Market Volatility: Evidence from the Tokyo Stock Exchange","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Volatility (finance); Stock exchange; Financial economics; Monetary economics; Business; Stock market; Economics; Finance; Geography","score_opus":0.03164305219605907,"score_gpt":0.2244610368263356,"score_spread":0.19281798463027655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038145160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990085,0.00017079651,0.00001852334,0.00011005799,0.000004079397,0.0000015467498,0.00017084963,0.0000018040859,0.0005140157],"genre_scores_gemma":[0.99903274,0.0002422128,0.000025783896,0.000026256253,0.000020768071,0.000001655212,0.00042943808,0.0000033818724,0.00021777758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997193,0.00007905036,0.00003936033,0.00004695699,0.000064964675,0.000050425897],"domain_scores_gemma":[0.99265105,0.0029161943,0.0030387298,0.00033865665,0.0003720033,0.00068342575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008388646,0.0002280359,0.00040354542,0.0012418873,0.0005201153,0.0017045374,0.00044231355,0.0007704525,0.00233269],"category_scores_gemma":[0.004442266,0.00025722117,0.00031425455,0.0022899397,0.00071906997,0.0010712261,0.0011080434,0.0007737277,0.0003108623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005054682,0.00011668131,0.9923471,0.00002840005,0.00027693092,0.00043573332,0.0009057426,0.00030048413,0.00049127993,0.0002656109,0.00051391334,0.0038125531],"study_design_scores_gemma":[0.000020369785,0.000051474377,0.99842536,0.0000049083546,0.000103926475,0.000063312094,0.0005740244,0.00028420848,0.00009235112,0.0000819929,0.00029108595,0.000006983674],"about_ca_topic_score_codex":0.014231962,"about_ca_topic_score_gemma":0.027360817,"teacher_disagreement_score":0.014231962,"about_ca_system_score_codex":0.00037344088,"about_ca_system_score_gemma":0.00030164386,"threshold_uncertainty_score":0.0282982},"labels":[],"label_agreement":null},{"id":"W2038342122","doi":"10.1108/19405979201000004","title":"Investor Sentiment and Corporate Bond Yield Spreads","year":2010,"lang":"en","type":"article","venue":"Review of Behavioral Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Bond; Yield (engineering); Corporate bond; Equity (law); Economics; Pessimism; Market sentiment; Monetary economics; Financial economics; Econometrics; Finance; Political science","score_opus":0.06821062545527791,"score_gpt":0.26448332904802063,"score_spread":0.19627270359274274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038342122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854907,0.0062160185,0.0011444462,0.00023509454,0.000019880525,0.000008336192,0.00023513424,0.000010223208,0.006640212],"genre_scores_gemma":[0.995748,0.002943219,0.00022913024,0.000030841005,0.00004141578,0.0000038509456,0.00014397455,0.000002675237,0.0008569086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997775,0.00007580726,0.000018633562,0.000028213677,0.0000788258,0.00002111445],"domain_scores_gemma":[0.9960735,0.0011518797,0.0020633717,0.00008711061,0.00047592065,0.00014827188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068361737,0.00014736051,0.0001689966,0.00047940708,0.00008917646,0.00063112465,0.0000941616,0.00025894807,0.0012090927],"category_scores_gemma":[0.006285558,0.0000761631,0.00012371669,0.00082263566,0.00009559815,0.00036923765,0.00019592245,0.00026438577,0.0002656917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030260664,0.000079446654,0.9037032,0.00018318226,0.0003440047,0.00034752185,0.00024387955,0.0032993127,0.0046740817,0.0034451045,0.0013781369,0.081999466],"study_design_scores_gemma":[0.000006590185,0.00008694163,0.9901154,0.000046814173,0.00008846038,0.00024211773,0.00014577185,0.004230172,0.00078629993,0.0019024358,0.0023373584,0.000011672968],"about_ca_topic_score_codex":0.0014623181,"about_ca_topic_score_gemma":0.0018447916,"teacher_disagreement_score":0.0014623181,"about_ca_system_score_codex":0.00020015998,"about_ca_system_score_gemma":0.00010049699,"threshold_uncertainty_score":0.004044771},"labels":[],"label_agreement":null},{"id":"W2039061403","doi":"10.1257/mac.1.2.127","title":"Understanding the Forward Premium Puzzle: A Microstructure Approach","year":2009,"lang":"en","type":"article","venue":"American Economic Journal Macroeconomics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Adverse selection; Currency; Order (exchange); Exchange rate; Economics; Foreign exchange; Market microstructure; Foreign exchange market; Interest rate; Monetary economics; Selection (genetic algorithm); Financial economics; Business; Microeconomics; Computer science; Finance; Artificial intelligence","score_opus":0.03771461632197739,"score_gpt":0.22243298239759537,"score_spread":0.18471836607561798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039061403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4805906,0.0063375183,0.41078088,0.044118073,0.0004630918,0.00017512638,0.0007203388,0.00029330683,0.05652106],"genre_scores_gemma":[0.9714552,0.0026486195,0.015908532,0.0010952712,0.0010328622,0.00005921962,0.0001425194,0.000044330864,0.007613499],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99966216,0.000111025205,0.000022680946,0.00006206373,0.00009421014,0.00004786314],"domain_scores_gemma":[0.99596775,0.0017328148,0.0011867251,0.0004996659,0.0003737754,0.00023936172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019502271,0.00042739484,0.0009332165,0.0011897134,0.00059173827,0.0030124937,0.0012474409,0.0025922107,0.006721111],"category_scores_gemma":[0.012483743,0.0005224904,0.0005735939,0.00089579524,0.0014913391,0.005843209,0.0013096413,0.0018267541,0.00061674375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008499999,0.000101467835,0.010262818,0.00008414956,0.00006775259,0.0005119934,0.0006010621,0.019122483,0.0022864114,0.9398555,0.0031347908,0.023886403],"study_design_scores_gemma":[0.000036965223,0.000034143257,0.005334099,0.00002016182,0.000024978097,0.00016719766,0.000112621994,0.061192878,0.00019457481,0.9301304,0.0027328443,0.00001908113],"about_ca_topic_score_codex":0.0021816066,"about_ca_topic_score_gemma":0.0013810556,"teacher_disagreement_score":0.006721111,"about_ca_system_score_codex":0.0009884523,"about_ca_system_score_gemma":0.00068815734,"threshold_uncertainty_score":0.022484362},"labels":[],"label_agreement":null},{"id":"W2039097884","doi":"10.1016/s0378-4266(03)00103-1","title":"Do ‘thinly-traded’ stocks benefit from specialist intervention?","year":2003,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Adverse selection; Market liquidity; Order (exchange); Business; Quality (philosophy); Limit (mathematics); Actuarial science; Finance; Mathematics","score_opus":0.028125368553434633,"score_gpt":0.23187163849934306,"score_spread":0.20374626994590841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039097884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899138,0.00057937216,0.00022929686,0.003034949,0.00006824117,0.00001566559,0.0000382982,0.00001320673,0.0061071347],"genre_scores_gemma":[0.99839455,0.0001651861,0.00009770456,0.00058641215,0.000051859137,0.0000025104393,0.000026455371,0.0000019835056,0.0006732565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980205,0.000058044378,0.000012451916,0.000020732828,0.000022637527,0.00008412442],"domain_scores_gemma":[0.99805945,0.0006596992,0.00057863176,0.00010593993,0.00011478885,0.00048147075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070373336,0.00011770238,0.00036444498,0.00020253129,0.0002449541,0.0006082872,0.00033452854,0.0011972027,0.007210372],"category_scores_gemma":[0.005331932,0.00008669238,0.0002613226,0.00017861484,0.00046374684,0.0007856405,0.0002771729,0.00046375353,0.0005770362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0098940795,0.0050029764,0.47535098,0.00039679575,0.00066491065,0.007014406,0.0013669207,0.0012869773,0.011560361,0.011928003,0.012272316,0.4632614],"study_design_scores_gemma":[0.0026908868,0.0044539734,0.92304814,0.00019492439,0.0005302497,0.0056168535,0.0039800657,0.0054896967,0.00419084,0.03848316,0.011271514,0.00004959745],"about_ca_topic_score_codex":0.000942664,"about_ca_topic_score_gemma":0.0020239074,"teacher_disagreement_score":0.007210372,"about_ca_system_score_codex":0.0001431834,"about_ca_system_score_gemma":0.0003202653,"threshold_uncertainty_score":0.024121106},"labels":[],"label_agreement":null},{"id":"W2039255271","doi":"10.1016/j.finmar.2007.02.001","title":"Locked and crossed markets on NASDAQ and the NYSE","year":2007,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Market liquidity; Business; Market maker; Order (exchange); Monetary economics; Stock (firearms); Financial economics; Economics; Stock market; Finance; Geography","score_opus":0.014954942794039123,"score_gpt":0.21494283191870336,"score_spread":0.19998788912466425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039255271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9221838,0.0032146128,0.0032644663,0.0069565615,0.000380647,0.00003211135,0.0017155248,0.00020549507,0.06204672],"genre_scores_gemma":[0.99290246,0.0005619496,0.0005850829,0.00012324656,0.000067310364,0.000008027707,0.0006430691,0.00004924193,0.005059541],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995234,0.00018709649,0.000023045863,0.00005090917,0.00012227893,0.00009340254],"domain_scores_gemma":[0.9966798,0.0016990608,0.00037915487,0.00024556753,0.0006637671,0.0003327037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012708168,0.0003050149,0.00065482047,0.0010777931,0.0009934646,0.0043787244,0.0007239018,0.0010221067,0.016628478],"category_scores_gemma":[0.0112335915,0.00021233961,0.00024574596,0.0016486518,0.0010613928,0.0071827043,0.0014343489,0.0015788985,0.0007909728],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013986137,0.000323688,0.0340501,0.00010263315,0.0000789083,0.0009877993,0.0011865301,0.055025164,0.0010116216,0.80313,0.06871538,0.03398959],"study_design_scores_gemma":[0.00040089287,0.00021461133,0.07334974,0.00019176878,0.00006805303,0.00021663043,0.0039487034,0.27267918,0.001151335,0.58341956,0.06411836,0.00024115806],"about_ca_topic_score_codex":0.04630307,"about_ca_topic_score_gemma":0.03650377,"teacher_disagreement_score":0.04630307,"about_ca_system_score_codex":0.0017237632,"about_ca_system_score_gemma":0.00086019264,"threshold_uncertainty_score":0.09206712},"labels":[],"label_agreement":null},{"id":"W2039682891","doi":"10.1016/j.jfineco.2008.06.002","title":"Do liquidity measures measure liquidity?☆","year":2009,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1403,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Market liquidity; Economics; Measure (data warehouse); Econometrics; Stock (firearms); Financial economics; Monetary economics; Computer science; Geography; Data mining","score_opus":0.04087408328838432,"score_gpt":0.22123706306087376,"score_spread":0.18036297977248944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039682891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73728895,0.07060693,0.041001305,0.08191134,0.003836863,0.000069154885,0.0028352432,0.00025848034,0.062191814],"genre_scores_gemma":[0.9875239,0.0042313254,0.0015191743,0.0017999689,0.0016488524,0.000022328242,0.00040356666,0.000021305717,0.002829508],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982186,0.0006984436,0.00016679382,0.0002891795,0.000486442,0.00014052723],"domain_scores_gemma":[0.9728941,0.01734595,0.0056525944,0.00095341663,0.002708243,0.0004456585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005194804,0.00049281114,0.0006646063,0.0018342476,0.0002881006,0.0038060977,0.0007089917,0.001396778,0.0051780767],"category_scores_gemma":[0.04215596,0.00034018897,0.00038047784,0.0017325571,0.0017742376,0.006510746,0.0004467406,0.0008962046,0.0017472735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019002465,0.00039883994,0.43198588,0.001013284,0.0020387496,0.0001965016,0.0012795283,0.0040155407,0.003236949,0.12960379,0.05259955,0.37173104],"study_design_scores_gemma":[0.00038878125,0.0006264017,0.4751849,0.0010792905,0.0013560285,0.0008167524,0.0031291707,0.024407819,0.008193351,0.43299595,0.05153451,0.0002870808],"about_ca_topic_score_codex":0.0012686634,"about_ca_topic_score_gemma":0.00091453566,"teacher_disagreement_score":0.005194804,"about_ca_system_score_codex":0.00064166647,"about_ca_system_score_gemma":0.0005683518,"threshold_uncertainty_score":0.027473032},"labels":[],"label_agreement":null},{"id":"W2039706231","doi":"10.1108/03074351111153221","title":"Reversal of the weekend effect in Canada: an empirical analysis","year":2011,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Weekend effect; Stock market; Stock (firearms); Reversing; Originality; Economics; Econometrics; Financial economics; Business; Political science; Geography; Engineering; Medicine","score_opus":0.030283916286126197,"score_gpt":0.2062324722402603,"score_spread":0.1759485559541341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039706231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908965,0.00056628085,0.00016558063,0.00033395982,0.00001117787,0.00008679292,0.002554694,0.000014779265,0.0053701927],"genre_scores_gemma":[0.9949445,0.00044731033,0.00022306353,0.00008827404,0.000009153692,0.000015766958,0.0017985703,0.000008942466,0.0024643491],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987723,0.000065900764,0.000055451314,0.00014951309,0.0005445438,0.00041218667],"domain_scores_gemma":[0.9915666,0.0011676463,0.0018445331,0.00034174588,0.0038158868,0.0012635456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011092188,0.00035376524,0.00048813646,0.0024321896,0.002967879,0.0016138748,0.001330735,0.0005038295,0.0051461617],"category_scores_gemma":[0.0061966768,0.00022890398,0.0006364999,0.005923784,0.0009774594,0.0005253472,0.0008671378,0.0011194401,0.00040910253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021360397,0.00024426417,0.97058433,0.000096362164,0.00009129697,0.00047995785,0.0022352429,0.00046280868,0.0002238751,0.0014177519,0.005329339,0.018621083],"study_design_scores_gemma":[0.000010850776,0.000029894536,0.99322295,0.000031866635,0.00004009012,0.000085794185,0.002727119,0.0010869451,0.00011482129,0.00006834254,0.0025619778,0.000019393046],"about_ca_topic_score_codex":0.992814,"about_ca_topic_score_gemma":0.9937416,"teacher_disagreement_score":0.024610467,"about_ca_system_score_codex":0.024610467,"about_ca_system_score_gemma":0.039900362,"threshold_uncertainty_score":0.17856228},"labels":[],"label_agreement":null},{"id":"W2040038261","doi":"","title":"Extracting bull and bear markets from stock returns","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Economics; Stock (firearms); Bayesian probability; sort; Stock market; Financial economics; Stock market index; Geography; Statistics; Mathematics","score_opus":0.05108670548473362,"score_gpt":0.2832255267897151,"score_spread":0.23213882130498145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040038261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81390256,0.00058730156,0.17674792,0.00022984961,0.000032573967,0.00010195089,0.0022518744,0.0015091216,0.0046367818],"genre_scores_gemma":[0.9603139,0.00032267178,0.033739906,0.000035644796,0.00008111616,0.00004147333,0.0031687364,0.00011482429,0.0021817486],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970394,0.000034359837,0.000023414752,0.00008004008,0.00008064976,0.00007753239],"domain_scores_gemma":[0.9993642,0.00019924904,0.00014362461,0.00012889969,0.00010399593,0.00006000002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009225712,0.0005300152,0.0008607461,0.0034509152,0.00036060277,0.001498819,0.0004605137,0.0005886744,0.002035928],"category_scores_gemma":[0.0038483671,0.00039574888,0.00083436567,0.0015551479,0.0002546029,0.0016854255,0.00084587507,0.0007617707,0.0010361962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010261234,0.00044904812,0.29198188,0.00017115452,0.00056670286,0.0018827635,0.000795563,0.09112631,0.036713824,0.02822719,0.012753139,0.53430635],"study_design_scores_gemma":[0.00005453993,0.00012397266,0.16149516,0.000027357999,0.00014834317,0.00033641365,0.00030138102,0.7902497,0.007518734,0.03298142,0.006696628,0.00006642078],"about_ca_topic_score_codex":0.00948247,"about_ca_topic_score_gemma":0.008943189,"teacher_disagreement_score":0.00948247,"about_ca_system_score_codex":0.00037147026,"about_ca_system_score_gemma":0.0006981236,"threshold_uncertainty_score":0.018854558},"labels":[],"label_agreement":null},{"id":"W2040738129","doi":"10.1504/ijbaf.2011.045020","title":"Factors that affect mutual fund investment decision of Indian investors","year":2011,"lang":"en","type":"article","venue":"International Journal of Behavioural Accounting and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Sport Centre Pacific","funders":"","keywords":"Mutual fund; Closed-end fund; Umbrella fund; Manager of managers fund; Investment (military); Affect (linguistics); Open-ended investment company; Investment decisions; Feeling; Unit investment trust; Business; Finance; Fund of funds; Investment fund; Institutional investor; Open-end fund; Investment strategy; Perception; Economics; Return on investment; Behavioral economics; Corporate governance; Microeconomics; Political science; Politics","score_opus":0.1389770214211415,"score_gpt":0.2621079111858791,"score_spread":0.12313088976473763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040738129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985677,0.00004563072,0.000018306633,0.000093751725,0.0000014400272,0.0000020697487,0.000012678991,7.93227e-7,0.001257619],"genre_scores_gemma":[0.9996785,0.000045593475,0.000027373218,0.000016167982,0.0000021227243,7.930922e-7,0.000009848721,2.8211664e-7,0.0002193646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995357,0.00013750404,0.00003447036,0.000030780448,0.000108946886,0.00015273674],"domain_scores_gemma":[0.99748164,0.0007363779,0.0010833575,0.00008073954,0.0001878008,0.00043006113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060002634,0.00011864975,0.00012074921,0.0005414816,0.00047153156,0.0009843202,0.00016569985,0.00025173463,0.0021546194],"category_scores_gemma":[0.00359977,0.00008514864,0.00019349968,0.0004222492,0.00041384678,0.000285033,0.00037670936,0.00039351688,0.00016717783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001901461,0.00011587582,0.9784776,0.000023778928,0.000033085984,0.0004405198,0.006896872,0.00013449536,0.0013691316,0.0004430589,0.00021628621,0.011659079],"study_design_scores_gemma":[0.000004861474,0.000069816706,0.9888552,0.000012641721,0.000025827136,0.00028142252,0.009209577,0.00029982367,0.00029934084,0.00016104212,0.0007673722,0.00001308566],"about_ca_topic_score_codex":0.022983115,"about_ca_topic_score_gemma":0.023524433,"teacher_disagreement_score":0.022983115,"about_ca_system_score_codex":0.00053810177,"about_ca_system_score_gemma":0.00039471165,"threshold_uncertainty_score":0.045698643},"labels":[],"label_agreement":null},{"id":"W2040923926","doi":"10.1108/17468801111104340","title":"How much trust should risk managers place on “Brownian motions” of financial markets?","year":2011,"lang":"en","type":"article","venue":"International Journal of Emerging Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Financial risk management; Risk management; Economics; Financial risk; Financial modeling; Geometric Brownian motion; Financial market; Value at risk; Financial services; Financial management; Actuarial science; Financial economics; Finance; Econometrics; Business; Marketing; Diffusion process; Service (business)","score_opus":0.04607768443393125,"score_gpt":0.2364453623457645,"score_spread":0.19036767791183323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040923926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43025714,0.016775591,0.08072618,0.4039414,0.0024977669,0.000095727635,0.00013912092,0.00023787397,0.065329246],"genre_scores_gemma":[0.9894546,0.0020887814,0.0024179067,0.0045248307,0.00049850304,0.00001629471,0.000013241467,0.000022903328,0.0009629557],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9909588,0.0053739627,0.0005400926,0.00063058495,0.0018346949,0.00066187984],"domain_scores_gemma":[0.90949994,0.049613412,0.02024655,0.0071527027,0.009102192,0.004385325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020061536,0.00050799525,0.0009744796,0.0010699435,0.0016645637,0.009122547,0.0012751325,0.0034063368,0.005324227],"category_scores_gemma":[0.1405529,0.00046217427,0.0004986982,0.00075578614,0.010461259,0.017947493,0.0025621317,0.004439958,0.0009246846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008758166,0.00044717023,0.1104063,0.0009404971,0.00046513873,0.0013253362,0.03514648,0.008570697,0.0029058587,0.4634794,0.036804575,0.33863276],"study_design_scores_gemma":[0.000095119845,0.0005727094,0.05623408,0.0020077417,0.00019353806,0.0014165647,0.058021218,0.021538476,0.002262573,0.78948563,0.067829534,0.0003427384],"about_ca_topic_score_codex":0.0024759162,"about_ca_topic_score_gemma":0.0018602419,"teacher_disagreement_score":0.020061536,"about_ca_system_score_codex":0.0028058565,"about_ca_system_score_gemma":0.0027132959,"threshold_uncertainty_score":0.106096804},"labels":[],"label_agreement":null},{"id":"W2041745364","doi":"10.1080/13518470801892236","title":"Trading time and trading activity: evidence from extensions of the NYSE trading day","year":2008,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Lethbridge","funders":"","keywords":"Extension (predicate logic); Volume (thermodynamics); Stock (firearms); Stock exchange; Price discovery; Financial economics; Economics; Monetary economics; Econometrics; Computer science; Finance; Futures contract; History","score_opus":0.07196112476716707,"score_gpt":0.21342606778645637,"score_spread":0.1414649430192893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041745364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978137,0.00028582124,0.00006147714,0.00008519374,0.000010741643,0.000005447651,0.00064472767,0.0000042809734,0.0010886064],"genre_scores_gemma":[0.99699956,0.0002821844,0.00010747725,0.00003184247,0.000061102015,0.000011315106,0.0021264968,0.0000069403814,0.0003730266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897707,0.0003549461,0.00013120938,0.00017333568,0.00025989694,0.00010355105],"domain_scores_gemma":[0.95718306,0.01749998,0.017648727,0.0023578538,0.0019629586,0.0033474278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014846326,0.00025248868,0.00045321896,0.0014787694,0.00040928883,0.0015736462,0.00050881546,0.0006841746,0.002161892],"category_scores_gemma":[0.01664415,0.00027728445,0.00039806392,0.0020268778,0.0007537847,0.0014162813,0.0013033448,0.00090506836,0.0005303578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012388951,0.00018095961,0.98924226,0.000033708857,0.0001328606,0.00026672217,0.00091521174,0.000426077,0.00060367526,0.00030071233,0.0006511096,0.0060078693],"study_design_scores_gemma":[0.000014577502,0.0000818097,0.99813735,0.000011559511,0.000017493785,0.000080547885,0.00027713657,0.000432017,0.00009254636,0.0001254611,0.0007174429,0.000012033834],"about_ca_topic_score_codex":0.008702848,"about_ca_topic_score_gemma":0.013851821,"teacher_disagreement_score":0.008702848,"about_ca_system_score_codex":0.0004160431,"about_ca_system_score_gemma":0.0002632323,"threshold_uncertainty_score":0.01730436},"labels":[],"label_agreement":null},{"id":"W2042362451","doi":"10.1093/rfs/hhm076","title":"The Effect of Introducing a Non-Redundant Derivative on the Volatility of Stock-Market Returns When Agents Differ in Risk Aversion","year":2007,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Volatility (finance); Financial economics; Economics; Stock (firearms); Risk aversion (psychology); Derivative (finance); Stock market; Actuarial science; Monetary economics; Econometrics; Engineering; History; Expected utility hypothesis","score_opus":0.028868478144615184,"score_gpt":0.270689887575856,"score_spread":0.2418214094312408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042362451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683451,0.0005882555,0.025227178,0.0005957945,0.000052204323,0.000021397129,0.00004158735,0.00009202611,0.005036465],"genre_scores_gemma":[0.99687296,0.00017974847,0.0023583907,0.00005636931,0.000016259677,0.000004442449,0.000007994479,0.000005586403,0.00049828476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992774,0.00036376447,0.000050282764,0.000087151195,0.00010166488,0.000119764],"domain_scores_gemma":[0.98346794,0.012234937,0.0024242788,0.0011288957,0.00030018724,0.00044381767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001891845,0.00065596536,0.00069241464,0.00030171548,0.00037601273,0.0015354932,0.0007608609,0.0014336932,0.0017796888],"category_scores_gemma":[0.015448779,0.00033457892,0.00078595534,0.00032133423,0.0014134801,0.0018409132,0.0013193513,0.0014117251,0.00014883479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028707758,0.0012860949,0.024718987,0.00054042536,0.00063739886,0.0049411952,0.0006208654,0.63728195,0.068033576,0.19784376,0.0012728497,0.05995212],"study_design_scores_gemma":[0.0008486417,0.0029287846,0.020567808,0.00008066768,0.00074194843,0.0013263222,0.00052395713,0.8024592,0.029863646,0.13772754,0.002718071,0.00021352812],"about_ca_topic_score_codex":0.0010139964,"about_ca_topic_score_gemma":0.000590787,"teacher_disagreement_score":0.001891845,"about_ca_system_score_codex":0.00062888564,"about_ca_system_score_gemma":0.00040353386,"threshold_uncertainty_score":0.010005176},"labels":[],"label_agreement":null},{"id":"W2042564511","doi":"10.1007/s11408-006-0029-z","title":"Relative importance of hedge fund characteristics","year":2006,"lang":"en","type":"article","venue":"Financial markets and portfolio management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia","keywords":"Hedge fund; Diversification (marketing strategy); Econometrics; Volatility (finance); Economics; Financial economics; Actuarial science; Business; Finance","score_opus":0.017969854793024296,"score_gpt":0.20255654117660554,"score_spread":0.18458668638358125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042564511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99568707,0.00036879032,0.0007898026,0.00011565303,0.000010048382,0.000005439525,0.00010965923,0.000014514588,0.002898916],"genre_scores_gemma":[0.99946624,0.000076276345,0.00008459464,0.00000903931,0.000015573029,7.9114494e-7,0.000081881364,0.000005723318,0.00025980407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921536,0.0002374536,0.00008599212,0.00013909623,0.00019320405,0.0001288978],"domain_scores_gemma":[0.9668472,0.025122868,0.0037864766,0.0013548952,0.0013835601,0.0015050321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024658123,0.00022562362,0.00060779834,0.0018696132,0.0002560716,0.0019529457,0.00034432887,0.000836826,0.003998538],"category_scores_gemma":[0.026172481,0.00017201135,0.00039938572,0.0010557314,0.00042557533,0.0015205707,0.0007200879,0.0005525787,0.000562098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028040453,0.00012052281,0.9384914,0.00008878527,0.0004835449,0.0006282908,0.0002387005,0.00516027,0.008775073,0.004820694,0.00054347207,0.037845112],"study_design_scores_gemma":[0.00009224953,0.00033369794,0.9724567,0.000017487406,0.0005159752,0.0014454318,0.00073215365,0.011997607,0.003173998,0.008209603,0.0009963738,0.000028744551],"about_ca_topic_score_codex":0.00039698576,"about_ca_topic_score_gemma":0.00042898188,"teacher_disagreement_score":0.003998538,"about_ca_system_score_codex":0.0002263297,"about_ca_system_score_gemma":0.00021416426,"threshold_uncertainty_score":0.013376474},"labels":[],"label_agreement":null},{"id":"W2042599419","doi":"10.1016/j.rfe.2003.09.002","title":"The survivorship bias, share price effect, and small firm effect in Canadian markets","year":2003,"lang":"en","type":"article","venue":"Review of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"University of Saskatchewan","keywords":"Survivorship curve; Economics; Demographic economics; Monetary economics; Biology","score_opus":0.02264154170448753,"score_gpt":0.21009993445036643,"score_spread":0.1874583927458789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042599419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875859,0.0037132357,0.0008744323,0.0010367596,0.000035033343,0.000028915618,0.0015246503,0.000015561542,0.005185358],"genre_scores_gemma":[0.9977836,0.0005127503,0.00016890322,0.00006291921,0.000017003464,0.0000029390067,0.00039547097,0.0000045667284,0.0010518606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985024,0.00019307043,0.00008290815,0.0002176018,0.00067027926,0.00033375295],"domain_scores_gemma":[0.9799207,0.006897617,0.007161871,0.0011955347,0.0036796504,0.0011446368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045718257,0.00030846216,0.00048031946,0.0025844763,0.0012775017,0.0012264918,0.0011498465,0.0004266969,0.0038162414],"category_scores_gemma":[0.020842807,0.0001464349,0.000698662,0.0035090165,0.0016834491,0.0007937851,0.0006656078,0.0005023597,0.00011984117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001171596,0.000013353435,0.9864616,0.00004280253,0.00020884223,0.000146361,0.0002997164,0.00065055524,0.00016298903,0.0013872213,0.00082552014,0.009683862],"study_design_scores_gemma":[0.0000049274577,0.000015020527,0.9974138,0.00001485937,0.00007165421,0.00004266119,0.00022383581,0.0007350933,0.00017509745,0.00038051017,0.000913616,0.000008784856],"about_ca_topic_score_codex":0.9160835,"about_ca_topic_score_gemma":0.9250166,"teacher_disagreement_score":0.083916485,"about_ca_system_score_codex":0.0062391385,"about_ca_system_score_gemma":0.00823264,"threshold_uncertainty_score":0.16882133},"labels":[],"label_agreement":null},{"id":"W2042636313","doi":"","title":"Limit Order Adjustment Mechanisms and Ex-Dividend Day Stock Price Behavior","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Dividend; Economics; Limit (mathematics); Stock (firearms); Stock price; Econometrics; Order (exchange); Financial economics; Monetary economics; Mathematics; Finance; Biology; Geography","score_opus":0.01836216681404253,"score_gpt":0.21549761829449013,"score_spread":0.1971354514804476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042636313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972445,0.000065146894,0.00050321314,0.000043349788,0.0000021877768,0.000005904041,0.00008287701,0.000017071594,0.0020357803],"genre_scores_gemma":[0.99929845,0.000026246888,0.00017747708,0.000005021929,0.0000019830288,0.0000015118899,0.0000686134,0.0000018337345,0.00041869673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980074,0.00001682876,0.000018927183,0.00002707228,0.0000934362,0.000042972188],"domain_scores_gemma":[0.9959825,0.00075441157,0.0017923758,0.0005285298,0.000599093,0.0003430571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005678605,0.00010631831,0.0001603246,0.00049330184,0.00023084895,0.0009018913,0.0003378631,0.00023365635,0.001982565],"category_scores_gemma":[0.006829228,0.00014596581,0.000110636916,0.0004238928,0.0003559717,0.00049094256,0.00022589097,0.00030503527,0.00015762838],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006623658,0.0002112277,0.91819274,0.0000497851,0.000102737504,0.0004268392,0.0010606558,0.0065895882,0.026746105,0.013725848,0.0014269574,0.030805212],"study_design_scores_gemma":[0.00000886491,0.000029613262,0.98845226,0.0000028540908,0.000008459271,0.0000784325,0.00011178625,0.00787877,0.0015765884,0.00139014,0.0004492833,0.000012889601],"about_ca_topic_score_codex":0.068703234,"about_ca_topic_score_gemma":0.08142328,"teacher_disagreement_score":0.068703234,"about_ca_system_score_codex":0.0014930064,"about_ca_system_score_gemma":0.0007168828,"threshold_uncertainty_score":0.1366067},"labels":[],"label_agreement":null},{"id":"W2043024407","doi":"10.5539/ijef.v7n3p109","title":"Firm Characteristics and Long-Run Abnormal Returns after IPOs: A Jordanian Financial Market Experience","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Initial public offering; Stock exchange; Abnormal return; Listing (finance); Business; Sample (material); Econometrics; Simple linear regression; Regression analysis; Stock (firearms); Event study; Accounting; Finance; Economics; Statistics; Mathematics; Engineering; Geography","score_opus":0.020968465378828287,"score_gpt":0.21896505219710324,"score_spread":0.19799658681827495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043024407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99939096,0.00007935177,0.000014367673,0.000067888766,0.0000019553856,0.0000024243968,0.000032400723,7.7534435e-7,0.00040977696],"genre_scores_gemma":[0.99936014,0.000097370495,0.000020657602,0.000027154138,0.000014459394,0.0000020361003,0.00008837726,7.8362814e-7,0.00038906024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966383,0.00006245922,0.00003661515,0.000042280935,0.00010866428,0.00008620467],"domain_scores_gemma":[0.9965011,0.00037406312,0.0021405863,0.00007758285,0.00045032392,0.00045632775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007725467,0.00015292632,0.0001686542,0.0007497107,0.0002894237,0.0010114147,0.0002333222,0.00039909416,0.001459626],"category_scores_gemma":[0.002956993,0.00009461895,0.00016154641,0.00079351885,0.00031781557,0.0009482138,0.0005056235,0.000508797,0.00030527674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008463134,0.00017059162,0.9897608,0.000014564912,0.000017697737,0.0005333719,0.0017687951,0.00010167662,0.00028586353,0.0000936429,0.000330609,0.0068378234],"study_design_scores_gemma":[0.0000023671255,0.00014663028,0.9963231,0.000005986318,0.0000064380924,0.00030391422,0.0021688896,0.000167659,0.000104864004,0.00003255212,0.0007323288,0.00000525916],"about_ca_topic_score_codex":0.0027400714,"about_ca_topic_score_gemma":0.0033828074,"teacher_disagreement_score":0.0027400714,"about_ca_system_score_codex":0.0003689078,"about_ca_system_score_gemma":0.0002887936,"threshold_uncertainty_score":0.0054482818},"labels":[],"label_agreement":null},{"id":"W2043265533","doi":"10.1111/j.1755-053x.2005.tb00103.x","title":"The Information Content of Insider Call Options Trading","year":2005,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Insider trading; Insider; Business; Stock (firearms); Monetary economics; Stock price; Price discovery; Finance; Economics; Futures contract","score_opus":0.039370352950924156,"score_gpt":0.200971657676961,"score_spread":0.16160130472603684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043265533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99344736,0.0003497438,0.0013504627,0.00026272854,0.0000069407215,0.000008110905,0.000180245,0.000023663119,0.004370705],"genre_scores_gemma":[0.99905366,0.00012594531,0.00026383175,0.000024216692,0.000023748027,0.0000036873103,0.00015141627,0.000005720819,0.00034775794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993326,0.00019562582,0.00004752257,0.00009124015,0.00023921605,0.00009379143],"domain_scores_gemma":[0.95948404,0.031180557,0.005914911,0.0013785855,0.0014482035,0.0005937727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014635029,0.00021498466,0.00049145357,0.0013772236,0.00021677543,0.0018004656,0.00038328426,0.0007952183,0.0031345347],"category_scores_gemma":[0.030331943,0.00020624915,0.00019792229,0.001165369,0.00059219636,0.0028763043,0.0005778141,0.0007917367,0.0003034145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004210749,0.0013090651,0.56791997,0.00077969965,0.00066919194,0.0026439861,0.002963706,0.05716268,0.11396305,0.05275363,0.0033878426,0.19223654],"study_design_scores_gemma":[0.00008822218,0.0004392523,0.808483,0.0001121961,0.0002786526,0.0012845166,0.000756582,0.13658632,0.017827317,0.031740323,0.0022535124,0.00015013498],"about_ca_topic_score_codex":0.0010221389,"about_ca_topic_score_gemma":0.00052960566,"teacher_disagreement_score":0.0031345347,"about_ca_system_score_codex":0.0005205617,"about_ca_system_score_gemma":0.00023855946,"threshold_uncertainty_score":0.010486126},"labels":[],"label_agreement":null},{"id":"W2043536736","doi":"10.2139/ssrn.1980185","title":"Security Transaction Taxes and Market Quality","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Business; Quality (philosophy); Database transaction; Computer science; Database","score_opus":0.01928407870922049,"score_gpt":0.23051569739578562,"score_spread":0.21123161868656512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043536736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788714,0.00096723315,0.0038609859,0.0024446775,0.00003515447,0.000025764832,0.00034730948,0.000046478,0.013400948],"genre_scores_gemma":[0.9981742,0.00012730584,0.00010331293,0.000040183066,0.00002907543,0.0000019082404,0.00007855115,0.0000074832783,0.001438148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999164,0.00027803457,0.000091524525,0.00010236565,0.00015528424,0.00020884364],"domain_scores_gemma":[0.9312703,0.035695538,0.021411104,0.003757852,0.0033252647,0.004539925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031869507,0.00016922315,0.0005889306,0.0013227408,0.00046547301,0.0041999817,0.0004340854,0.0011102548,0.020833254],"category_scores_gemma":[0.03733133,0.0002543433,0.00049879064,0.0016231965,0.0018013974,0.003816854,0.0008959874,0.0021248285,0.0009407973],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019462018,0.0010096353,0.73131156,0.00015123903,0.0006522249,0.0005538592,0.000988138,0.023000846,0.0011713398,0.19515955,0.00486672,0.039188646],"study_design_scores_gemma":[0.0004011944,0.00051595655,0.600859,0.00008058189,0.00036659025,0.00063429674,0.0021083,0.049744863,0.0011854518,0.3397519,0.004264146,0.00008775591],"about_ca_topic_score_codex":0.003840414,"about_ca_topic_score_gemma":0.003511565,"teacher_disagreement_score":0.020833254,"about_ca_system_score_codex":0.0013241709,"about_ca_system_score_gemma":0.000602676,"threshold_uncertainty_score":0.06969416},"labels":[],"label_agreement":null},{"id":"W2044099286","doi":"10.1108/14691930710830828","title":"How does human capital affect the performance of small and mid‐cap mutual funds?","year":2007,"lang":"en","type":"article","venue":"Journal of Intellectual Capital","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Business; Affect (linguistics); Human capital; Equity (law); Closed-end fund; Fund of funds; Originality; Finance; Open-end fund; Index fund; Mutual fund; Actuarial science; Accounting; Economics; Institutional investor; Corporate governance; Economic growth","score_opus":0.026253126073012733,"score_gpt":0.21202896073859565,"score_spread":0.18577583466558292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044099286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99868673,0.00018761086,0.000065598346,0.00020105952,0.0000045112333,0.000003862867,0.000051304633,0.0000018157234,0.0007975929],"genre_scores_gemma":[0.99979347,0.000029879342,0.000019924291,0.000018123532,0.000008303327,0.0000014298054,0.000024862957,3.4334383e-7,0.000103615916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990103,0.00042645918,0.00008090484,0.00009172872,0.00017966394,0.00021085085],"domain_scores_gemma":[0.98153114,0.004822774,0.009997852,0.0003961493,0.0007563905,0.0024956926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001920533,0.00014239004,0.00017168953,0.0007717557,0.00026125458,0.0012079782,0.00028557022,0.00043856996,0.0013090807],"category_scores_gemma":[0.015962783,0.000060759023,0.00014188381,0.000661265,0.00062214484,0.00068307715,0.0006952232,0.0002718403,0.00032154046],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017109605,0.00007378242,0.9902953,0.000009788684,0.00003882814,0.00007792041,0.00021184783,0.00037130807,0.00012928639,0.00015959302,0.00013926894,0.008322025],"study_design_scores_gemma":[0.0000047389804,0.00016611193,0.9977441,0.000008522424,0.000011500901,0.00010356004,0.0005196224,0.00060883607,0.00021678803,0.00030124054,0.00031004657,0.000004960922],"about_ca_topic_score_codex":0.0024990041,"about_ca_topic_score_gemma":0.0023724954,"teacher_disagreement_score":0.0024990041,"about_ca_system_score_codex":0.0005571818,"about_ca_system_score_gemma":0.00047728364,"threshold_uncertainty_score":0.01015687},"labels":[],"label_agreement":null},{"id":"W2044590048","doi":"10.1016/j.qref.2006.02.001","title":"The impact of ethical ratings on Canadian security performance: Portfolio management and corporate governance implications","year":2006,"lang":"en","type":"article","venue":"The Quarterly Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Université Laval","funders":"Université Laval","keywords":"Portfolio; Corporate governance; Popularity; Capital asset pricing model; Business; Accounting; Actuarial science; Perspective (graphical); Financial economics; Economics; Finance; Political science","score_opus":0.018572014368580757,"score_gpt":0.22091755618783535,"score_spread":0.2023455418192546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044590048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7625901,0.005771327,0.0009476762,0.06274718,0.00037587935,0.00007474893,0.0016463117,0.000055548364,0.16579126],"genre_scores_gemma":[0.9924616,0.0010457401,0.00013427835,0.00064776506,0.00008536798,0.0000047101917,0.00016346452,0.000008326301,0.0054487186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9947035,0.00070948416,0.00014315179,0.00028013837,0.0030243548,0.0011394855],"domain_scores_gemma":[0.9489556,0.0061188033,0.0061736875,0.00092590513,0.03068048,0.0071455636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050086468,0.00034447122,0.00030996502,0.0020897633,0.004531926,0.006886438,0.0010164338,0.0013880956,0.0046889205],"category_scores_gemma":[0.045305185,0.00017440508,0.00030533553,0.0035520347,0.0025363537,0.00147804,0.0011519426,0.0022106026,0.0003181087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067769096,0.00037140105,0.6148681,0.00019821794,0.0002400135,0.00051024614,0.0058315885,0.006009962,0.0011151376,0.15507239,0.07894877,0.13615654],"study_design_scores_gemma":[0.00008198157,0.00007249801,0.93918246,0.00011606624,0.00011838977,0.00009249902,0.004617149,0.0037509995,0.000553869,0.01519288,0.03612043,0.000100733894],"about_ca_topic_score_codex":0.9735091,"about_ca_topic_score_gemma":0.9886312,"teacher_disagreement_score":0.069135174,"about_ca_system_score_codex":0.069135174,"about_ca_system_score_gemma":0.064953595,"threshold_uncertainty_score":0.50161314},"labels":[],"label_agreement":null},{"id":"W2045019244","doi":"10.1016/j.jbankfin.2004.05.022","title":"Portfolio performance measurement using APM-free kernel models","year":2004,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Brock University","funders":"","keywords":"Econometrics; Portfolio; Capital asset pricing model; Economics; Mutual fund; Equity (law); Stochastic discount factor; Basis point; Risk aversion (psychology); Statistics; Actuarial science; Mathematics; Bond; Financial economics; Finance; Expected utility hypothesis","score_opus":0.07403651675997017,"score_gpt":0.21868975185982087,"score_spread":0.1446532350998507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045019244","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34050512,0.00025892377,0.6560888,0.00017245687,0.000046421097,0.000039928287,0.00017890964,0.000978973,0.0017304233],"genre_scores_gemma":[0.9747791,0.00005006012,0.02457075,0.000013289961,0.000016741835,0.000017011174,0.0001520651,0.000030653977,0.00037033772],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961333,0.0019995489,0.00023834313,0.0005163774,0.00085352,0.00025892386],"domain_scores_gemma":[0.98511666,0.006550745,0.0021471386,0.00377818,0.002058598,0.00034861502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043228837,0.0006931759,0.0009253598,0.001506112,0.00029309606,0.002329144,0.0011801516,0.0014135056,0.0011692997],"category_scores_gemma":[0.030743044,0.0003336908,0.00064927945,0.0014970204,0.00040365043,0.004148481,0.0015530178,0.0011922352,0.00068943086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026922806,0.0006917059,0.052221403,0.0002762435,0.0008656876,0.00020374861,0.0002489692,0.39737567,0.017964495,0.031722512,0.0020490882,0.49368817],"study_design_scores_gemma":[0.000022140439,0.000103786224,0.0060409745,0.0000061316355,0.000028709293,0.000061816456,0.000011961903,0.984681,0.0030618196,0.005766721,0.00018899444,0.000025972551],"about_ca_topic_score_codex":0.0010222538,"about_ca_topic_score_gemma":0.00048392612,"teacher_disagreement_score":0.0043228837,"about_ca_system_score_codex":0.0005441186,"about_ca_system_score_gemma":0.00042797113,"threshold_uncertainty_score":0.022861898},"labels":[],"label_agreement":null},{"id":"W2045509888","doi":"10.1108/10309611011092600","title":"Are socially responsible investment markets worldwide integrated?","year":2010,"lang":"en","type":"article","venue":"Accounting Research Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Equity (law); Interdependence; Financial market; Economics; Capital market; Financial economics; Variance decomposition of forecast errors; Business; Monetary economics; International economics; Finance","score_opus":0.06575647419985589,"score_gpt":0.3081490614595527,"score_spread":0.24239258725969678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045509888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98407507,0.000576412,0.0012076488,0.0007065899,0.0000075214234,0.000016067554,0.000062755054,0.000012571507,0.013335431],"genre_scores_gemma":[0.99937457,0.00011267451,0.00011790104,0.000026186579,0.0000060069256,0.000002666582,0.000027602755,0.0000015207005,0.0003309588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915826,0.00013562797,0.000041243544,0.00016288958,0.00023526895,0.0002668243],"domain_scores_gemma":[0.9927973,0.00080284727,0.0046755793,0.000299709,0.0007175535,0.00070700806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087395165,0.00019432836,0.000388235,0.0017505385,0.0005229234,0.0031865917,0.00043292088,0.00040279632,0.0039733434],"category_scores_gemma":[0.0043938984,0.00016849909,0.00025126606,0.0018462796,0.0024601335,0.0037299888,0.0022014899,0.00057709723,0.00018518054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014002413,0.00011636629,0.8492587,0.000107752065,0.00033710885,0.0010489523,0.0058701397,0.0032028423,0.0019399662,0.058350086,0.0012467047,0.07838137],"study_design_scores_gemma":[0.000019919824,0.00011279753,0.941336,0.00014661848,0.0001082469,0.0004845445,0.011628514,0.005662806,0.0006300792,0.030287787,0.009546385,0.000036298545],"about_ca_topic_score_codex":0.013767665,"about_ca_topic_score_gemma":0.013388452,"teacher_disagreement_score":0.013767665,"about_ca_system_score_codex":0.0016390269,"about_ca_system_score_gemma":0.001358788,"threshold_uncertainty_score":0.027375042},"labels":[],"label_agreement":null},{"id":"W2045776862","doi":"10.2139/ssrn.1884081","title":"Stock Market Crashes in 2007-2009: Were We Able to Predict Them?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stock market; Business; Stock (firearms); Financial economics; Economics; Monetary economics; Financial system; Econometrics; Engineering; Geography","score_opus":0.027684791374825015,"score_gpt":0.20263213030792873,"score_spread":0.1749473389331037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045776862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845879,0.0011082323,0.00028856954,0.003877505,0.0000945187,0.00003579139,0.008069755,0.00003084252,0.0019068874],"genre_scores_gemma":[0.99383074,0.0004517614,0.00014727713,0.00021167129,0.000066646055,0.000018775378,0.0047939373,0.0000074988475,0.0004716015],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994148,0.00008109221,0.000106913576,0.00014085889,0.000081799335,0.0001744926],"domain_scores_gemma":[0.9938618,0.001337065,0.00259071,0.0002923708,0.0013454534,0.00057262206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018465713,0.0004911117,0.0005655206,0.0012592431,0.0005016025,0.0014691708,0.00095389795,0.002058162,0.0029791016],"category_scores_gemma":[0.0099353725,0.00044248835,0.0007825606,0.0011208956,0.0003834045,0.00247331,0.00088172837,0.00248269,0.0011032069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007349438,0.00005447282,0.99623007,0.000009846754,0.000047833328,0.000045056608,0.00007053032,0.0003420824,0.000025013907,0.000058449776,0.0012653364,0.0017777333],"study_design_scores_gemma":[0.000011156206,0.00006882437,0.994087,0.000045290664,0.000063455096,0.000072200615,0.00065491826,0.0038390118,0.0001168052,0.00020391365,0.00082296174,0.000014399952],"about_ca_topic_score_codex":0.07614859,"about_ca_topic_score_gemma":0.12947515,"teacher_disagreement_score":0.07614859,"about_ca_system_score_codex":0.0011207904,"about_ca_system_score_gemma":0.0011403408,"threshold_uncertainty_score":0.15141076},"labels":[],"label_agreement":null},{"id":"W2045874612","doi":"10.1057/jdhf.2013.3","title":"The procyclicality of hedge fund alpha and beta","year":2013,"lang":"en","type":"article","venue":"Journal of Derivatives & Hedge Funds","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Hedge fund; Economics; Leverage (statistics); BETA (programming language); Futures contract; Alternative beta; Alpha (finance); Monetary economics; Financial economics; Systematic risk; Econometrics; Institutional investor; Finance; Open-end fund; Corporate governance; Mathematics; Computer science","score_opus":0.045405228466733116,"score_gpt":0.24350737020937144,"score_spread":0.19810214174263832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045874612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98807305,0.0012659568,0.0010544274,0.000582289,0.000044007254,0.0000052959676,0.0005528014,0.00003167886,0.008390497],"genre_scores_gemma":[0.99882036,0.00032142104,0.000113460075,0.000024867626,0.00006413662,0.000002159238,0.00010176365,0.000006467193,0.0005451634],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997582,0.00005142864,0.00002843821,0.000053695177,0.00007421661,0.00003400357],"domain_scores_gemma":[0.9843742,0.008643579,0.0045784586,0.0011685385,0.00088679546,0.00034833385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011303492,0.00016709894,0.00024337319,0.0012228971,0.00016298906,0.0014003376,0.0002759768,0.0005881013,0.002639114],"category_scores_gemma":[0.021490907,0.00021546097,0.00019177294,0.0012970071,0.0005600343,0.001119815,0.00039503007,0.00081750035,0.0004425048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031024124,0.00023847212,0.6795578,0.00032930626,0.000587612,0.002663842,0.0017637635,0.02292837,0.015790544,0.068819724,0.011980969,0.19223729],"study_design_scores_gemma":[0.00013306129,0.00023460756,0.93691075,0.00007920977,0.0001970784,0.0019405825,0.00030921484,0.02691343,0.0030746083,0.025009206,0.005145286,0.000053008447],"about_ca_topic_score_codex":0.0010612367,"about_ca_topic_score_gemma":0.0009398503,"teacher_disagreement_score":0.002639114,"about_ca_system_score_codex":0.00033867807,"about_ca_system_score_gemma":0.00019236539,"threshold_uncertainty_score":0.0088287},"labels":[],"label_agreement":null},{"id":"W2046702674","doi":"10.1080/10920277.2007.10597481","title":"Asset Allocation with Hedge Funds on the Menu","year":2007,"lang":"en","type":"article","venue":"North American Actuarial Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Hedge fund; Asset allocation; Portfolio; Alternative beta; Open-end fund; Basis risk; Performance fee; Equity (law); Actuarial science; Economics; Utility maximization problem; Econometrics; Business; Financial economics; Capital asset pricing model; Institutional investor; Finance; Utility maximization","score_opus":0.02713727536585536,"score_gpt":0.21960877333377596,"score_spread":0.1924714979679206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046702674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67817026,0.0006107948,0.28705293,0.00064011384,0.000047896585,0.00025145945,0.00021551337,0.0003818192,0.032629255],"genre_scores_gemma":[0.9743424,0.000108641216,0.02216182,0.000028884351,0.000015153171,0.00006542672,0.000047645502,0.000016499815,0.0032135837],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993418,0.00028444658,0.000037881382,0.000089840396,0.00013163172,0.00011444479],"domain_scores_gemma":[0.9989183,0.0005643497,0.00010779086,0.00012527543,0.00011131129,0.0001729515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016601296,0.0003383697,0.0007991932,0.0007295499,0.00042038583,0.001512576,0.0007097245,0.0010472658,0.006123678],"category_scores_gemma":[0.0050406265,0.00027908478,0.00041568733,0.00062639086,0.0005498779,0.0018100904,0.001008564,0.0005839443,0.0005230064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016587111,0.0004259764,0.014670099,0.00018847814,0.00018090199,0.00083498715,0.00041886285,0.29877767,0.009932469,0.43814567,0.0039118957,0.23085423],"study_design_scores_gemma":[0.0001331622,0.00028488188,0.003421942,0.000058917958,0.000050100105,0.00017999414,0.00011231823,0.6909407,0.0029501782,0.2980154,0.003812837,0.000039548326],"about_ca_topic_score_codex":0.0010920381,"about_ca_topic_score_gemma":0.00074604,"teacher_disagreement_score":0.006123678,"about_ca_system_score_codex":0.00092402456,"about_ca_system_score_gemma":0.00060080347,"threshold_uncertainty_score":0.020485818},"labels":[],"label_agreement":null},{"id":"W2047563786","doi":"10.2139/ssrn.1622088","title":"Improving the Predictability of Real Economic Activity and Asset Returns with Forward Variances Inferred from Option Portfolios","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Predictability; Econometrics; Financial economics; Economics; Asset (computer security); Computer science; Mathematics; Statistics","score_opus":0.008159258784131412,"score_gpt":0.198366748290362,"score_spread":0.1902074895062306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047563786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7209271,0.00044208398,0.27611116,0.00042891726,0.00005840817,0.000015097679,0.0002662884,0.0006404079,0.0011104492],"genre_scores_gemma":[0.98554033,0.00015832101,0.013539416,0.000029395376,0.000061501545,0.0000058269356,0.0003418019,0.000032655877,0.00029077873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955183,0.00019350646,0.000033425396,0.00009045012,0.00008095141,0.00004983088],"domain_scores_gemma":[0.99070776,0.0076042344,0.00058608904,0.000606015,0.00031583259,0.00018001744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020115632,0.00074182963,0.0007087171,0.0009570586,0.00024250596,0.001189914,0.00051781855,0.0007886742,0.0007448036],"category_scores_gemma":[0.011485811,0.00058147864,0.0004921265,0.0006855165,0.00036326042,0.0020289132,0.00077735935,0.0013706537,0.0002760205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091751025,0.00022448004,0.05469451,0.00008794077,0.0003192457,0.0004380268,0.00011398891,0.77334553,0.013798381,0.008293736,0.0012099961,0.14655657],"study_design_scores_gemma":[0.000007583828,0.000022675467,0.0027588701,0.0000028660716,0.000012540103,0.000021980602,0.0000040938185,0.99355906,0.001056731,0.0024988395,0.000047506503,0.0000071728127],"about_ca_topic_score_codex":0.0022023972,"about_ca_topic_score_gemma":0.0029915785,"teacher_disagreement_score":0.0022023972,"about_ca_system_score_codex":0.00024295312,"about_ca_system_score_gemma":0.0005014452,"threshold_uncertainty_score":0.010638297},"labels":[],"label_agreement":null},{"id":"W2047945052","doi":"10.1016/j.iref.2003.08.002","title":"Tick size and the returns to providing liquidity","year":2003,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Tick size; Market liquidity; Monetary economics; Stock exchange; Stock (firearms); Economics; Business; Financial economics; Finance; Geography","score_opus":0.02790241078491227,"score_gpt":0.2395928907515849,"score_spread":0.21169047996667265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047945052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.841014,0.08298651,0.009149166,0.023757335,0.0007276206,0.00005760739,0.001032983,0.00020528809,0.041069306],"genre_scores_gemma":[0.9770353,0.015881494,0.0006739841,0.0005342291,0.0009487851,0.000012729997,0.0001927811,0.000017764474,0.004702851],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993537,0.00024245912,0.00003880937,0.0000511054,0.00015709552,0.00015680125],"domain_scores_gemma":[0.9753984,0.014043231,0.007155517,0.00069340016,0.0012157292,0.0014937568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027795092,0.00035398387,0.00055160676,0.00095221534,0.00031149513,0.0029783794,0.0005185738,0.0021292465,0.0121796895],"category_scores_gemma":[0.03228049,0.00022923421,0.0003384289,0.0013339511,0.001183897,0.003305544,0.0007279134,0.0028680558,0.0017866531],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009505927,0.0015628921,0.22462076,0.0014175796,0.0007754399,0.0013470865,0.0006205267,0.045746006,0.006561943,0.28880176,0.03019063,0.3888494],"study_design_scores_gemma":[0.0009955717,0.0018864744,0.23509437,0.00050661556,0.00073060277,0.0013467977,0.001556734,0.03230932,0.0035554296,0.6822153,0.03963381,0.00016911642],"about_ca_topic_score_codex":0.0011493766,"about_ca_topic_score_gemma":0.0013107469,"teacher_disagreement_score":0.0121796895,"about_ca_system_score_codex":0.00070017076,"about_ca_system_score_gemma":0.0007310337,"threshold_uncertainty_score":0.04074514},"labels":[],"label_agreement":null},{"id":"W2048855879","doi":"10.1057/jam.2012.2","title":"The search for an exploitable value premium in market indexes","year":2012,"lang":"en","type":"article","venue":"Journal of Asset Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Value premium; Index (typography); Value (mathematics); Portfolio; Econometrics; Economics; Asset allocation; Risk premium; Actuarial science; Quarter (Canadian coin); Benchmark (surveying); Set (abstract data type); Asset (computer security); Financial economics; Capital asset pricing model; Statistics; Computer science; Mathematics","score_opus":0.05266019281492248,"score_gpt":0.26447536467245103,"score_spread":0.21181517185752854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048855879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667259,0.0005997332,0.021077177,0.0030717924,0.000043335906,0.000008897893,0.0001014189,0.000116268246,0.008255554],"genre_scores_gemma":[0.99864215,0.00009142239,0.00065074186,0.00004290078,0.000066455665,0.0000013572724,0.000023008732,0.000009767861,0.00047208622],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995334,0.000117383795,0.00003481533,0.00010447682,0.0001262265,0.00008380485],"domain_scores_gemma":[0.98081404,0.012720339,0.0037651993,0.0012964306,0.0005979107,0.0008060275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019728418,0.00024897367,0.0006830664,0.0014055892,0.0005392144,0.0037310964,0.0009286794,0.0016121392,0.0059163757],"category_scores_gemma":[0.03569084,0.00032552768,0.00028830476,0.001006506,0.0014881117,0.00597271,0.0012973555,0.0018690972,0.00028326342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007361737,0.00038221668,0.103256695,0.00024809575,0.00020597657,0.0015212405,0.00086705986,0.016762001,0.015446223,0.7806235,0.0033267676,0.07662411],"study_design_scores_gemma":[0.000101086756,0.00015471548,0.06881639,0.000062545885,0.00010284054,0.00078834157,0.00056117156,0.15156095,0.004423096,0.7708046,0.0025561212,0.000068226735],"about_ca_topic_score_codex":0.00063430826,"about_ca_topic_score_gemma":0.00065200916,"teacher_disagreement_score":0.0059163757,"about_ca_system_score_codex":0.000641616,"about_ca_system_score_gemma":0.00044038138,"threshold_uncertainty_score":0.019792259},"labels":[],"label_agreement":null},{"id":"W2049228633","doi":"","title":"Market Reactions to Changes in the S&P/TSX SmallCap Index","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University","funders":"","keywords":"Abnormal return; Economics; Index (typography); Stock (firearms); Stock market; Econometrics; Contrast (vision); Financial economics; Stock trading; Monetary economics; Stock exchange; Biology; Finance","score_opus":0.01717684543500575,"score_gpt":0.20962862479529684,"score_spread":0.1924517793602911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049228633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99310315,0.00012477071,0.00011000261,0.00016899453,0.000038014794,0.00002882827,0.0001436287,0.00001946051,0.0062632607],"genre_scores_gemma":[0.9978777,0.0001159297,0.000117030984,0.00009904368,0.00006283039,0.000007857894,0.00021723082,0.000006554343,0.0014958588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989773,0.00007448986,0.000061266444,0.000080280326,0.00068935467,0.00011731692],"domain_scores_gemma":[0.9895727,0.0021482883,0.0054954863,0.00032106577,0.0015727454,0.00088968227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007593177,0.0002676762,0.00033583725,0.0010675524,0.000465047,0.0013074428,0.00034847815,0.00057337637,0.0029033993],"category_scores_gemma":[0.008470849,0.00010818586,0.0002763918,0.0007652799,0.0004330084,0.0005940155,0.0005575816,0.0007172381,0.0003891159],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002739545,0.00068916596,0.8720874,0.00020332403,0.00032894814,0.0020224145,0.0022739454,0.0028156813,0.05440472,0.0015556603,0.0039572134,0.05692197],"study_design_scores_gemma":[0.000011446612,0.00026533267,0.99439347,0.0000050882327,0.000022657487,0.000090361544,0.000700153,0.0007194954,0.0018712236,0.00017265328,0.0017266334,0.000021546444],"about_ca_topic_score_codex":0.04093182,"about_ca_topic_score_gemma":0.04338983,"teacher_disagreement_score":0.9590682,"about_ca_system_score_codex":0.0013800898,"about_ca_system_score_gemma":0.0005776051,"threshold_uncertainty_score":0.08138716},"labels":[],"label_agreement":null},{"id":"W2049828044","doi":"10.1016/j.jeconom.2007.11.003","title":"Long-run risk-return trade-offs","year":2007,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"University of Chicago","keywords":"Econometrics; Capital asset pricing model; Economics; Predictive power; Variance (accounting); Conditional variance; Stock market; Horizon; Expected return; Financial economics; Autoregressive conditional heteroskedasticity; Mathematics; Volatility (finance)","score_opus":0.07639551878504257,"score_gpt":0.22693269018109669,"score_spread":0.1505371713960541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049828044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8811284,0.0067244763,0.08455665,0.005137848,0.000116591895,0.000034709643,0.00042224897,0.00035406652,0.021525066],"genre_scores_gemma":[0.99524647,0.0004844886,0.0011045254,0.00008111236,0.000056779772,0.000008573887,0.000067361,0.000023055658,0.0029275985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994848,0.00020579937,0.00003372902,0.00008042366,0.00007240425,0.00012286357],"domain_scores_gemma":[0.9777411,0.018645203,0.0016966367,0.0007506977,0.0005510835,0.00061528914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037732008,0.000644002,0.00075457065,0.0008338483,0.00043750787,0.003216778,0.0007396818,0.002562685,0.007487042],"category_scores_gemma":[0.027166951,0.0003688856,0.0005694434,0.0005790689,0.0009680438,0.004036613,0.0007572103,0.0018475315,0.00065738166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012796883,0.00041187703,0.04362556,0.00027727082,0.00037252204,0.0020303917,0.0004664904,0.4699809,0.008014801,0.40323114,0.006002874,0.06430665],"study_design_scores_gemma":[0.00011270088,0.0003083353,0.027782345,0.000060472696,0.00018083812,0.0010234021,0.00027430634,0.52641916,0.0018672515,0.43974066,0.0021081185,0.00012234451],"about_ca_topic_score_codex":0.00045176278,"about_ca_topic_score_gemma":0.0004734963,"teacher_disagreement_score":0.007487042,"about_ca_system_score_codex":0.0009551885,"about_ca_system_score_gemma":0.00032639937,"threshold_uncertainty_score":0.025046587},"labels":[],"label_agreement":null},{"id":"W2050573899","doi":"10.3905/jfi.2009.18.3.052","title":"Returns-Based Style Analysis of Convertible Bond Funds","year":2008,"lang":"en","type":"article","venue":"The Journal of Fixed Income","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Convertible bond; Convertible arbitrage; Bond; Stock (firearms); Asset allocation; Common stock; Business; Portfolio; Returns-based style analysis; Convertible; Financial economics; Economics; Monetary economics; Institutional investor; Passive management; Finance; Capital asset pricing model; Corporate governance","score_opus":0.037176323996191155,"score_gpt":0.22318727583896414,"score_spread":0.186010951842773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050573899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872973,0.0003273062,0.0023162575,0.0000710901,0.000013347145,0.000037351405,0.0014272342,0.000105530904,0.008404556],"genre_scores_gemma":[0.99427116,0.00016779051,0.0011464395,0.000020843318,0.000037962753,0.000015253121,0.0019595765,0.00002530855,0.0023557488],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994856,0.00008123016,0.000045905854,0.00007238595,0.0002274186,0.000087385095],"domain_scores_gemma":[0.9981336,0.00031598422,0.0006848674,0.0001785689,0.00051121804,0.00017587104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011783302,0.00045006434,0.00028621536,0.0043425034,0.0001946891,0.0012379833,0.00042044133,0.0002809185,0.0024796603],"category_scores_gemma":[0.0049143936,0.00012168418,0.0005017273,0.0024069897,0.00016376768,0.0008894815,0.00047888482,0.00045994602,0.00055149087],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009867013,0.0002685155,0.76495296,0.00010193765,0.00051470083,0.00096440903,0.00038128244,0.063057296,0.009535144,0.020559615,0.005689162,0.13298829],"study_design_scores_gemma":[0.000034677687,0.0003246429,0.8549317,0.000028444918,0.00013052096,0.00061663653,0.00022396227,0.12249557,0.0073925075,0.0054712435,0.008285882,0.00006416223],"about_ca_topic_score_codex":0.003374309,"about_ca_topic_score_gemma":0.0024790803,"teacher_disagreement_score":0.0043425034,"about_ca_system_score_codex":0.00054526003,"about_ca_system_score_gemma":0.00017645973,"threshold_uncertainty_score":0.008295357},"labels":[],"label_agreement":null},{"id":"W2050588877","doi":"10.1007/s00181-015-0917-z","title":"Informed traders’ arrival in foreign exchange markets: Does geography matter?","year":2015,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market microstructure; Database transaction; Profit (economics); Order (exchange); Foreign exchange market; Market maker; Economics; Transaction cost; Private information retrieval; Work (physics); Financial economics; Foreign exchange; Algorithmic trading; Econometrics; Microeconomics; Business; Monetary economics; Stock market; Finance; Geography; Computer science","score_opus":0.06642132706003336,"score_gpt":0.25166318547912214,"score_spread":0.1852418584190888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050588877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919011,0.00055829564,0.0011072638,0.0017314294,0.000019728854,0.0000071503073,0.0000869207,0.000013145044,0.004574918],"genre_scores_gemma":[0.9984975,0.0002349614,0.000089377536,0.00008499113,0.000021032765,0.0000017469824,0.000041511375,0.0000044086237,0.0010243272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943763,0.00027548234,0.00003336286,0.0000734306,0.000057277164,0.00012276947],"domain_scores_gemma":[0.98214394,0.011736552,0.0038691494,0.000765867,0.0005150867,0.00096942426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025220418,0.00016550957,0.00050022546,0.0005385251,0.00044193908,0.004511913,0.00051266403,0.0016999186,0.008083549],"category_scores_gemma":[0.023191048,0.0003094999,0.0002992438,0.00076759554,0.0013740067,0.004978659,0.00092188106,0.0017916134,0.00087839563],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018969432,0.0006007399,0.83222264,0.00023611308,0.00049528515,0.0012937812,0.0065267347,0.026258737,0.0010068173,0.0864571,0.004257443,0.038747553],"study_design_scores_gemma":[0.0005049638,0.00049864786,0.71704334,0.00024751818,0.0007002403,0.00079330814,0.025375307,0.059430927,0.002035998,0.18352216,0.009674246,0.00017339585],"about_ca_topic_score_codex":0.0062376345,"about_ca_topic_score_gemma":0.0067130206,"teacher_disagreement_score":0.008083549,"about_ca_system_score_codex":0.0005204458,"about_ca_system_score_gemma":0.00045158886,"threshold_uncertainty_score":0.02704215},"labels":[],"label_agreement":null},{"id":"W2050847805","doi":"10.5539/ijef.v4n4p114","title":"A New Perspective on Daily Value at Risk Estimates","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Drug Abuse","keywords":"Financial institution; Institution; Position (finance); Value at risk; Value (mathematics); Perspective (graphical); Actuarial science; Economics; Financial risk; Investment (military); Risk management; Term (time); Business; Finance; Statistics; Computer science; Mathematics; Political science","score_opus":0.021500680787035292,"score_gpt":0.2367966630479662,"score_spread":0.2152959822609309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050847805","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0093460865,0.014496192,0.9271005,0.016396457,0.0018507555,0.00003292118,0.00048118457,0.00016069226,0.030135293],"genre_scores_gemma":[0.6474036,0.027234929,0.2834006,0.0041401903,0.0174552,0.00022112721,0.00081572897,0.0007547257,0.018573938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.991994,0.003660719,0.00057598273,0.0014900925,0.00201659,0.0002625955],"domain_scores_gemma":[0.95584625,0.03241339,0.0030747065,0.003723618,0.004347837,0.0005942275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011677822,0.0014452602,0.0016428245,0.003617871,0.0007565756,0.009375276,0.0028432652,0.003178908,0.0043534585],"category_scores_gemma":[0.06259556,0.0007828668,0.0013907658,0.0032590136,0.0036913883,0.015866077,0.0025020167,0.0082821,0.00089360867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026183321,0.00003842695,0.0020217695,0.00012758122,0.00008035488,0.00010105748,0.00032702307,0.021247193,0.00033262718,0.9237069,0.0059907823,0.046000026],"study_design_scores_gemma":[0.0000064909646,0.00004823282,0.0011657104,0.00018263493,0.00002645099,0.00018807584,0.00016632446,0.04373492,0.00032303887,0.9237853,0.030288497,0.00008427973],"about_ca_topic_score_codex":0.0020880508,"about_ca_topic_score_gemma":0.00095312844,"teacher_disagreement_score":0.011677822,"about_ca_system_score_codex":0.002178502,"about_ca_system_score_gemma":0.00094305933,"threshold_uncertainty_score":0.061758935},"labels":[],"label_agreement":null},{"id":"W2050988497","doi":"10.1057/palgrave.jdhf.1850063","title":"Great in practice, not in theory: An empirical examination of covered call writing","year":2007,"lang":"en","type":"article","venue":"Journal of Derivatives & Hedge Funds","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Financial economics; Empirical examination; Econometrics; Futures contract; Index (typography); Economics; Actuarial science; Computer science","score_opus":0.053414711596301526,"score_gpt":0.3140589332985363,"score_spread":0.2606442217022348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050988497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99322987,0.00019634933,0.0002643056,0.0005213282,0.000011769224,0.000030315692,0.000048927024,0.0000107974,0.0056863753],"genre_scores_gemma":[0.9971853,0.00013896637,0.00022897043,0.00015894101,0.00003190771,0.000027412001,0.0000808015,0.000020765794,0.0021270066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9922569,0.0033586777,0.00069074525,0.00070338155,0.0025276062,0.00046261007],"domain_scores_gemma":[0.6782954,0.24680349,0.046081822,0.0106487665,0.010087812,0.0080826655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009765843,0.00027312106,0.00068753364,0.002875574,0.0034203823,0.007153446,0.0017594838,0.002113849,0.007866571],"category_scores_gemma":[0.15299417,0.00054282486,0.0002959461,0.0027517315,0.0037031868,0.0060912077,0.0034172125,0.0038363482,0.0018163432],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007836432,0.0025723286,0.74278855,0.00024009652,0.0001130323,0.0011390476,0.18258281,0.00040756003,0.0011222506,0.010036762,0.004310334,0.0539036],"study_design_scores_gemma":[0.00013030312,0.0009680798,0.7502308,0.00035894546,0.00010530713,0.002223988,0.21802326,0.002883754,0.0008465318,0.010258767,0.013865361,0.00010485347],"about_ca_topic_score_codex":0.0023843923,"about_ca_topic_score_gemma":0.004088256,"teacher_disagreement_score":0.009765843,"about_ca_system_score_codex":0.0015750801,"about_ca_system_score_gemma":0.0020223574,"threshold_uncertainty_score":0.051647365},"labels":[],"label_agreement":null},{"id":"W2051278414","doi":"10.1016/j.jimonfin.2004.10.001","title":"Consumption growth as a risk factor? Evidence from Canadian financial markets","year":2004,"lang":"en","type":"article","venue":"Journal of International Money and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Consumption (sociology); Financial market; Monetary economics; Financial economics; Financial system; Finance","score_opus":0.02471573228695647,"score_gpt":0.2243047976091886,"score_spread":0.1995890653222321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051278414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9229139,0.022951515,0.00034254714,0.011343532,0.00007444902,0.000054826094,0.007361153,0.000019705063,0.03493833],"genre_scores_gemma":[0.9847644,0.009943614,0.0001399851,0.0003850841,0.000072280745,0.0000068186764,0.0020590778,0.000007811577,0.0026209701],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923956,0.00009058396,0.000041610343,0.00007606301,0.00030120998,0.00025102508],"domain_scores_gemma":[0.9814052,0.0072207754,0.0039150896,0.000742252,0.005172766,0.0015440529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021610907,0.0004774145,0.00050438475,0.0027703291,0.0020645338,0.0032424496,0.0012399955,0.0009717955,0.0073462822],"category_scores_gemma":[0.016231332,0.0002987102,0.0006198661,0.008195934,0.0014991253,0.0012459927,0.0009683407,0.0012357609,0.00039765146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001138421,0.00017467728,0.93124455,0.00026005597,0.0002697221,0.00056797464,0.0025361388,0.0010523915,0.00020697378,0.011912195,0.01349891,0.037138045],"study_design_scores_gemma":[0.00006184648,0.000032115226,0.9802942,0.00016584709,0.00031554713,0.00008676157,0.0025408762,0.0009783842,0.0002028396,0.0011208642,0.014153683,0.000047096066],"about_ca_topic_score_codex":0.9822871,"about_ca_topic_score_gemma":0.98154646,"teacher_disagreement_score":0.017712891,"about_ca_system_score_codex":0.01167244,"about_ca_system_score_gemma":0.011682704,"threshold_uncertainty_score":0.084689856},"labels":[],"label_agreement":null},{"id":"W2051359108","doi":"10.1111/j.1465-7295.2012.00480.x","title":"THE EFFECTS OF PUBLICATION LAGS ON LIFE‐CYCLE RESEARCH PRODUCTIVITY IN ECONOMICS","year":2012,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Construct (python library); Demographic economics; Macroeconomics","score_opus":0.07338443894661059,"score_gpt":0.28989842422215006,"score_spread":0.21651398527553947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051359108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98432654,0.0029946442,0.0013776335,0.0015579646,0.000084168045,0.00003201014,0.0075509404,0.00006273309,0.0020133487],"genre_scores_gemma":[0.9948926,0.00051425205,0.00026867475,0.00008910625,0.00010846625,0.000019156605,0.0030796237,0.000013173013,0.0010149063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99287486,0.0014431026,0.0012710837,0.0013233771,0.0018515106,0.0012360526],"domain_scores_gemma":[0.61181545,0.16539992,0.17275643,0.015930885,0.017683392,0.016413959],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.020325962,0.00034275503,0.00045289678,0.0068482487,0.0008510384,0.0035465523,0.0012656461,0.0009010066,0.0050371364],"category_scores_gemma":[0.13667735,0.00033297262,0.0007077246,0.0094699245,0.001000586,0.0020551493,0.0017473191,0.0011881408,0.0013486588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015377763,0.000038423736,0.9921136,0.00003614836,0.00007062275,0.00006202871,0.00017939172,0.0007848173,0.00021543045,0.00024392828,0.00058884936,0.005512916],"study_design_scores_gemma":[0.000009602392,0.00008745801,0.9971726,0.000018223702,0.000025166439,0.00008249413,0.00018002435,0.000812156,0.0002132147,0.00036565255,0.0010231516,0.000010278046],"about_ca_topic_score_codex":0.011662224,"about_ca_topic_score_gemma":0.014500669,"teacher_disagreement_score":0.9931517,"about_ca_system_score_codex":0.0020100446,"about_ca_system_score_gemma":0.0022001362,"threshold_uncertainty_score":0.10749525},"labels":[],"label_agreement":null},{"id":"W2051624841","doi":"10.1016/j.gfj.2006.06.012","title":"Limit orders and the intraday behavior of market liquidity: Evidence from the Toronto stock exchange","year":2006,"lang":"en","type":"article","venue":"Global Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Volatility (finance); Monetary economics; Stock exchange; Limit (mathematics); Market maker; Stock (firearms); Economics; Financial economics; Order (exchange); Econometrics; Stock market; Business; Finance; Mathematics; Geography","score_opus":0.027901032147549302,"score_gpt":0.2250811753327499,"score_spread":0.1971801431852006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051624841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995826,0.00040013998,0.00006148002,0.00034405876,0.0000039140305,0.0000053483095,0.0010304993,0.000005691036,0.0023228407],"genre_scores_gemma":[0.997951,0.00044424253,0.000048621212,0.000022077575,0.000009994436,0.0000025819759,0.00087598304,0.0000039884694,0.0006416182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997999,0.000035020374,0.000022656764,0.000028727853,0.00008516118,0.000028510161],"domain_scores_gemma":[0.9909051,0.003479794,0.0030603164,0.00056141266,0.001169187,0.0008242462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006340423,0.00017222259,0.00024938156,0.0010674557,0.0008901453,0.0018499161,0.00054028316,0.00064691564,0.0035745914],"category_scores_gemma":[0.008318909,0.00030554988,0.0001650793,0.0019325782,0.0008237789,0.00097041746,0.00060417736,0.0006329218,0.0005179872],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012211452,0.00014904967,0.969258,0.00009317839,0.00016900724,0.00052612444,0.0041908952,0.0027839094,0.0016993437,0.0037288514,0.0047740517,0.011406378],"study_design_scores_gemma":[0.000028461518,0.000027189632,0.99495596,0.000015363885,0.000039444647,0.00006382764,0.0009958729,0.001882613,0.00025841445,0.0005755782,0.0011380874,0.00001931707],"about_ca_topic_score_codex":0.5337014,"about_ca_topic_score_gemma":0.7227988,"teacher_disagreement_score":0.46629858,"about_ca_system_score_codex":0.003233173,"about_ca_system_score_gemma":0.001264425,"threshold_uncertainty_score":0.93808943},"labels":[],"label_agreement":null},{"id":"W2051663358","doi":"10.2139/ssrn.687537","title":"Investor Sentiment and Option Prices","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Financial economics; Business; Cryptocurrency; Economics; Monetary economics; Actuarial science; Computer science; World Wide Web","score_opus":0.013618918596726799,"score_gpt":0.20247761819429147,"score_spread":0.18885869959756468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051663358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97656316,0.0008765829,0.0019603001,0.0024722093,0.00005764695,0.000006158597,0.0001389316,0.00001294741,0.017912148],"genre_scores_gemma":[0.9971123,0.00025901158,0.00009798163,0.000065660606,0.000049504222,0.0000017153905,0.00004735367,0.0000035299452,0.0023629465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992347,0.000028565672,0.000005267891,0.000011826323,0.000014854711,0.00001594237],"domain_scores_gemma":[0.99660563,0.0017886676,0.0009956075,0.00009650904,0.00021353127,0.0003000801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008279494,0.00015544516,0.00024286694,0.00026874023,0.00020394551,0.0015141332,0.00013698632,0.0008998034,0.0071867653],"category_scores_gemma":[0.008633168,0.00015112046,0.00015782374,0.00030827397,0.00028029273,0.0013854112,0.0003426686,0.0010174492,0.00063963386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019827383,0.00067721977,0.5949342,0.00018011534,0.0004099691,0.0025331413,0.0015039672,0.012923518,0.006245675,0.27318642,0.013804695,0.09161832],"study_design_scores_gemma":[0.00011984642,0.00030241197,0.638187,0.00008099175,0.0002081061,0.0009291339,0.0010182973,0.049149994,0.0008564707,0.30314064,0.0059576365,0.00004949463],"about_ca_topic_score_codex":0.00051098265,"about_ca_topic_score_gemma":0.00082929677,"teacher_disagreement_score":0.0071867653,"about_ca_system_score_codex":0.00029484072,"about_ca_system_score_gemma":0.00010404929,"threshold_uncertainty_score":0.02404213},"labels":[],"label_agreement":null},{"id":"W2052603438","doi":"10.1016/j.qref.2015.01.005","title":"The evolution of the weekend effect in US markets","year":2015,"lang":"en","type":"article","venue":"The Quarterly Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Thompson Rivers University","funders":"","keywords":"Weekend effect; Economics; Stock (firearms); Breakpoint; Cointegration; Mean reversion; Names of the days of the week; Econometrics; Demographic economics; Monetary economics; Geography; Medicine; Biology","score_opus":0.01650027074047784,"score_gpt":0.2083517971938665,"score_spread":0.19185152645338868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052603438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8578291,0.03357634,0.0050068703,0.035896383,0.0010874572,0.000037258957,0.0029990827,0.0002029005,0.06336458],"genre_scores_gemma":[0.9905505,0.003667061,0.00027580257,0.001054648,0.000688063,0.0000074573504,0.00025817772,0.000049289163,0.003448961],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999655,0.000101568374,0.000020809286,0.00007700659,0.00006610964,0.00007937697],"domain_scores_gemma":[0.9933391,0.0030895662,0.001416127,0.0004184379,0.0008533748,0.0008833402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017875386,0.00021758759,0.0004163651,0.0012426227,0.0006375861,0.0034442672,0.00058759056,0.001115934,0.010132243],"category_scores_gemma":[0.011741303,0.00024923822,0.0003553895,0.0020601773,0.001119011,0.0035107576,0.001178118,0.0018928167,0.0007199946],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018337469,0.0006112125,0.31699553,0.00042593668,0.0005283382,0.0006326291,0.0033990643,0.01153081,0.0030125156,0.38210884,0.071788035,0.20713341],"study_design_scores_gemma":[0.00013402599,0.00017772026,0.7540129,0.0002687991,0.00023872811,0.00021377194,0.002916536,0.008368584,0.0012602009,0.1034298,0.12885106,0.00012789948],"about_ca_topic_score_codex":0.019820714,"about_ca_topic_score_gemma":0.01953854,"teacher_disagreement_score":0.019820714,"about_ca_system_score_codex":0.0015759193,"about_ca_system_score_gemma":0.0007800099,"threshold_uncertainty_score":0.03941071},"labels":[],"label_agreement":null},{"id":"W2052938918","doi":"10.7202/602165ar","title":"Performance et commission de souscription des fonds mutuels canadiens","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.057060642698422995,"score_gpt":0.23471825723787818,"score_spread":0.17765761453945517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052938918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854945,0.00055738,0.0005837365,0.0003300673,0.000018222372,0.000011705138,0.00054410024,0.000030548177,0.012429803],"genre_scores_gemma":[0.9860821,0.00027808477,0.0006651773,0.000018305751,0.000014198095,0.000015905434,0.0004351075,0.000011931745,0.012479232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99656963,0.00068792544,0.00019919085,0.0002969784,0.0016229152,0.00062325044],"domain_scores_gemma":[0.9833528,0.0060241236,0.0051362854,0.0012044767,0.002860684,0.0014216134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037717046,0.00020765093,0.00038746026,0.0038135718,0.00078020495,0.0024071843,0.0004354369,0.00054209505,0.004686669],"category_scores_gemma":[0.024806358,0.00016708078,0.00021610185,0.0046600043,0.0009125789,0.0010554795,0.001208989,0.0006144052,0.0007416458],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006788586,0.000089236404,0.7965553,0.000076480224,0.00014368654,0.0004226216,0.009081283,0.0054274932,0.0014925037,0.02755456,0.0036352281,0.15484272],"study_design_scores_gemma":[0.00001260511,0.00011695533,0.96124697,0.00005960576,0.000042472726,0.00045616916,0.0030421198,0.0023892839,0.0014258644,0.0024959906,0.028666496,0.000045395904],"about_ca_topic_score_codex":0.048872683,"about_ca_topic_score_gemma":0.051133603,"teacher_disagreement_score":0.9511273,"about_ca_system_score_codex":0.0038918862,"about_ca_system_score_gemma":0.0022940922,"threshold_uncertainty_score":0.09717643},"labels":[],"label_agreement":null},{"id":"W2053055866","doi":"10.1093/rfs/hhn094","title":"Model Comparison Using the Hansen-Jagannathan Distance","year":2008,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital asset pricing model; Econometrics; Statistic; Asset (computer security); Economics; Interest rate; Computer science; Mathematics; Statistics","score_opus":0.21087893207237907,"score_gpt":0.32071154055802636,"score_spread":0.1098326084856473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053055866","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12240975,0.0027458481,0.8651909,0.0011824577,0.000264936,0.0005345178,0.0009684748,0.00055206276,0.0061510187],"genre_scores_gemma":[0.76171535,0.0014507757,0.23170711,0.00041792484,0.00017144607,0.00076257536,0.001791708,0.0001920215,0.0017911238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97673327,0.017975127,0.0009795814,0.001969964,0.0018338852,0.00050828664],"domain_scores_gemma":[0.912736,0.07902816,0.0023113082,0.0035136754,0.0018460829,0.0005647537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030175189,0.0013259104,0.0032198003,0.004886027,0.001239051,0.0031483592,0.0029666936,0.0028371166,0.006153196],"category_scores_gemma":[0.09422194,0.0005695397,0.0041437303,0.0024122738,0.0013225318,0.0038718672,0.0026735617,0.0026056082,0.00058266585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012476001,0.00045492288,0.03870763,0.0011659828,0.0055770143,0.0012182824,0.0008889612,0.4879706,0.0011235101,0.2883141,0.009196948,0.16413435],"study_design_scores_gemma":[0.00017766183,0.0007051268,0.007738002,0.00012665281,0.00048902014,0.00029863467,0.00045203185,0.8042824,0.0009515662,0.1798758,0.0047548916,0.0001481617],"about_ca_topic_score_codex":0.006203764,"about_ca_topic_score_gemma":0.0034646022,"teacher_disagreement_score":0.030175189,"about_ca_system_score_codex":0.00149041,"about_ca_system_score_gemma":0.002896066,"threshold_uncertainty_score":0.15958357},"labels":[],"label_agreement":null},{"id":"W2053511890","doi":"10.1007/s11294-008-9179-2","title":"On Optimal Instrumental Variables Generators, with an Application to Hedge Fund Returns","year":2008,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais","funders":"","keywords":"Hedge fund; Econometrics; Economics; Ranking (information retrieval); BETA (programming language); Alpha (finance); Benchmark (surveying); Computer science; Finance","score_opus":0.07162199698284667,"score_gpt":0.33776447030926143,"score_spread":0.2661424733264148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053511890","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003444207,0.0010497948,0.99067676,0.0009993557,0.00016868666,0.00008182866,0.000119932585,0.00014497334,0.0033144085],"genre_scores_gemma":[0.29648197,0.007448168,0.663674,0.0013086323,0.0023931894,0.0013857217,0.0009329501,0.0009178531,0.02545754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99380773,0.004753249,0.00019637197,0.00057316484,0.0004474905,0.0002219559],"domain_scores_gemma":[0.9303799,0.064118564,0.001736595,0.0016531876,0.0015677044,0.0005439453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019367205,0.0033937355,0.004524184,0.002739067,0.001276547,0.0034955933,0.003303358,0.005141862,0.008858108],"category_scores_gemma":[0.079393804,0.0025954724,0.0021445192,0.0035209197,0.007704884,0.005690049,0.005637702,0.0059353863,0.0011939477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019407885,0.00012954282,0.0007548132,0.00026018044,0.00018086722,0.0002531689,0.00018930966,0.21453294,0.000566533,0.7502472,0.0043020435,0.028389413],"study_design_scores_gemma":[0.00010859304,0.000038306625,0.00013290741,0.000078971105,0.00003772194,0.000038249564,0.00002984279,0.45037216,0.00029786138,0.5468871,0.001933469,0.000044700362],"about_ca_topic_score_codex":0.003120434,"about_ca_topic_score_gemma":0.004377556,"teacher_disagreement_score":0.019367205,"about_ca_system_score_codex":0.0016202951,"about_ca_system_score_gemma":0.0042180326,"threshold_uncertainty_score":0.1024248},"labels":[],"label_agreement":null},{"id":"W2053722141","doi":"10.2753/ree1540-496x4603s101","title":"Which Trades Move Asset Prices? An Analysis of Futures Trading Data","year":2010,"lang":"en","type":"article","venue":"Emerging Markets Finance and Trade","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Futures contract; Asset (computer security); Institutional investor; Financial economics; Homogeneous; Business; Maturity (psychological); Investment (military); Economics; Econometrics; Monetary economics; Finance; Computer science","score_opus":0.03014272600676493,"score_gpt":0.2543518775309082,"score_spread":0.22420915152414328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053722141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956143,0.00020977805,0.00126729,0.00019271018,0.000007245723,0.000009385913,0.0021968584,0.000028799037,0.00047370998],"genre_scores_gemma":[0.99396616,0.00009372642,0.0010668902,0.00001761027,0.00002635152,0.000005714977,0.004631055,0.000008748322,0.00018376327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843735,0.00063354196,0.00015289416,0.0002907837,0.00033048802,0.0001548272],"domain_scores_gemma":[0.98081404,0.01436479,0.0025636689,0.0012755294,0.00063111045,0.00035093306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036031613,0.0002986655,0.0004839713,0.0027701093,0.00035130628,0.0009926425,0.0004318371,0.0008489285,0.0010026471],"category_scores_gemma":[0.015385844,0.00017635946,0.00051274616,0.0029852788,0.00046336887,0.0010804398,0.0005532847,0.00077403337,0.00034914372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089958555,0.00025359413,0.91037333,0.00010823906,0.00038795217,0.001122016,0.0005454977,0.024391161,0.0054239538,0.0030856223,0.0035086,0.049900394],"study_design_scores_gemma":[0.00003762607,0.00014854345,0.8743854,0.00002146909,0.00009095134,0.00084392447,0.00047757576,0.116915256,0.0020060176,0.0022121693,0.00282372,0.00003726937],"about_ca_topic_score_codex":0.0031786074,"about_ca_topic_score_gemma":0.0031560098,"teacher_disagreement_score":0.0036031613,"about_ca_system_score_codex":0.0003705473,"about_ca_system_score_gemma":0.0002539258,"threshold_uncertainty_score":0.019055545},"labels":[],"label_agreement":null},{"id":"W2053956713","doi":"10.1007/s11156-009-0118-y","title":"Trading costs and price discovery","year":2009,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Price discovery; Futures contract; Transaction cost; Cash; Financial economics; Electronic trading; Business; Asset (computer security); Corporate finance; Index (typography); Economics; Open outcry; Forward market; Algorithmic trading; Alternative trading system; Finance; Computer science","score_opus":0.03806923221826068,"score_gpt":0.2739858281134214,"score_spread":0.23591659589516073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053956713","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011215374,0.90277684,0.024706736,0.02379358,0.0020470482,0.000021274353,0.00029416214,0.000071628114,0.035073306],"genre_scores_gemma":[0.26859802,0.6921055,0.0083559435,0.0039062025,0.012495842,0.00005028177,0.00039413897,0.00007310521,0.014021023],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9980148,0.00049942965,0.00017972881,0.00029750183,0.0008868103,0.00012166142],"domain_scores_gemma":[0.9808481,0.014607484,0.0016391644,0.0010623679,0.00154868,0.00029424977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028876115,0.00053039956,0.001127545,0.0027175662,0.00045810477,0.00518503,0.0011458555,0.002161649,0.004973456],"category_scores_gemma":[0.022865772,0.00047211986,0.00041134295,0.0035352109,0.0029751414,0.0074075144,0.0011157183,0.0032234816,0.00092893786],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001367125,0.00006395925,0.00253543,0.001367232,0.00016530133,0.00020591015,0.000112064154,0.0045571118,0.00066325854,0.5947269,0.02709102,0.36837518],"study_design_scores_gemma":[0.00003436303,0.000039033257,0.0048131044,0.00076133205,0.00009955333,0.0005737258,0.000121895966,0.005764917,0.0005120709,0.83149475,0.15573329,0.000052014453],"about_ca_topic_score_codex":0.0011819026,"about_ca_topic_score_gemma":0.0010204643,"teacher_disagreement_score":0.00518503,"about_ca_system_score_codex":0.0015459557,"about_ca_system_score_gemma":0.0014725085,"threshold_uncertainty_score":0.016637802},"labels":[],"label_agreement":null},{"id":"W2054118845","doi":"10.5539/ibr.v7n7p106","title":"The Information Content of Stock Market Flows: Evidence from Thailand","year":2014,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Stock market; Economics; Monetary economics; Financial economics; Business","score_opus":0.1338745274897143,"score_gpt":0.30576178699119927,"score_spread":0.17188725950148498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054118845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953885,0.00047299475,0.00008903639,0.00015203966,0.0000035609291,0.000004866173,0.00072055584,0.000003888575,0.0031644977],"genre_scores_gemma":[0.99855393,0.0005832525,0.000041758394,0.00001329839,0.000013228075,0.00000217089,0.0005163841,0.0000017596959,0.0002743009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996462,0.000087222776,0.000052311087,0.000038522074,0.00013174643,0.000043971777],"domain_scores_gemma":[0.9901334,0.0043897694,0.003894591,0.00021574585,0.00094077585,0.00042580895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000600715,0.000158921,0.00013045009,0.002512295,0.00026835976,0.0015527724,0.00017873409,0.00023105374,0.0018153103],"category_scores_gemma":[0.006107743,0.0001405246,0.00022155682,0.003434668,0.0004029415,0.0014335137,0.00058238325,0.00038616188,0.00023865067],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022370764,0.00007858399,0.97777176,0.00017112558,0.000104985644,0.0007192978,0.0027054304,0.0006869743,0.00062233116,0.0007147092,0.0005128519,0.015688198],"study_design_scores_gemma":[0.000007105247,0.00006836025,0.99442923,0.000042787076,0.000068777386,0.00028376965,0.0018414194,0.0012579096,0.00053689926,0.0002933465,0.0011572603,0.000013229737],"about_ca_topic_score_codex":0.014188371,"about_ca_topic_score_gemma":0.011815036,"teacher_disagreement_score":0.014188371,"about_ca_system_score_codex":0.00036364625,"about_ca_system_score_gemma":0.0003486001,"threshold_uncertainty_score":0.028211594},"labels":[],"label_agreement":null},{"id":"W2054465248","doi":"10.3905/jpm.2002.319833","title":"What's a Portfolio Manager Worth?","year":2002,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Portfolio; Arbitrage; Accounts payable; Economics; Microeconomics; Project portfolio management; Remuneration; Replicating portfolio; Financial economics; Actuarial science; Business; Portfolio optimization; Finance; Payment","score_opus":0.03226830957876119,"score_gpt":0.20574447639733556,"score_spread":0.17347616681857436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054465248","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18781503,0.06817383,0.036864117,0.3872889,0.007993796,0.000085273,0.00044644845,0.00036922577,0.31096345],"genre_scores_gemma":[0.934652,0.018948056,0.0068182824,0.011027094,0.0057146326,0.000035465637,0.0001227518,0.00010237679,0.022579318],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982578,0.00061877066,0.00011209079,0.00016732472,0.0006761049,0.0001679293],"domain_scores_gemma":[0.9963108,0.0009572027,0.0008518983,0.00022095897,0.0008555168,0.0008036802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028388305,0.00041125587,0.0005976403,0.0010949726,0.0009849529,0.0068391445,0.00049224735,0.0016451653,0.0057066185],"category_scores_gemma":[0.015559679,0.00015181545,0.00025883428,0.0012127594,0.0020462351,0.009319901,0.00069825497,0.0014721348,0.0015757431],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019177432,0.00020278357,0.027696906,0.0003469423,0.00022389057,0.00057029293,0.00244696,0.0011638082,0.0012121737,0.43490922,0.077665545,0.45336965],"study_design_scores_gemma":[0.000050872004,0.00027061303,0.022178229,0.0010252332,0.00013544832,0.0020270762,0.005314806,0.0036884786,0.0010131556,0.721629,0.24258591,0.00008110103],"about_ca_topic_score_codex":0.00060265214,"about_ca_topic_score_gemma":0.0007247598,"teacher_disagreement_score":0.0068391445,"about_ca_system_score_codex":0.0014804708,"about_ca_system_score_gemma":0.00097104674,"threshold_uncertainty_score":0.019090533},"labels":[],"label_agreement":null},{"id":"W2054653209","doi":"10.1016/j.jfineco.2011.02.015","title":"Information spillovers and performance persistence for hedge funds","year":2011,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Profitability index; Hedge fund; Business; Fund of funds; Competition (biology); Trading strategy; Persistence (discontinuity); Open-end fund; Institutional investor; Mutual fund; Finance; Monetary economics; Financial economics; Economics; Corporate governance; Market liquidity","score_opus":0.05035687056138612,"score_gpt":0.1857387790602169,"score_spread":0.13538190849883078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054653209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99671173,0.0003167171,0.00153352,0.00044001266,0.000007991144,0.0000047833573,0.000066421715,0.000020791038,0.0008979926],"genre_scores_gemma":[0.9996686,0.000045844776,0.000069046524,0.0000123723,0.000014022983,0.0000010870635,0.000035194014,0.0000019735473,0.00015180452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947065,0.00009538851,0.00005927294,0.0001212741,0.00010165739,0.0001518577],"domain_scores_gemma":[0.9530604,0.031436387,0.010038473,0.0025223615,0.0014851678,0.0014572438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033310587,0.0002510915,0.0007927246,0.0011640182,0.0004965386,0.0026107733,0.00057154713,0.0017090922,0.0029932673],"category_scores_gemma":[0.039207872,0.00038173617,0.0004321375,0.0007596832,0.00090649794,0.0028849698,0.0011329898,0.0014986398,0.00027118123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045215464,0.0015028088,0.6939839,0.00027699876,0.0012449025,0.0020010134,0.0020378719,0.11389757,0.013803651,0.08305398,0.0036106473,0.08006509],"study_design_scores_gemma":[0.00029744848,0.0010147202,0.5597107,0.00007801672,0.0007353118,0.0008097572,0.0015404525,0.28019357,0.005439277,0.14887509,0.0010998151,0.00020597642],"about_ca_topic_score_codex":0.0015832462,"about_ca_topic_score_gemma":0.0010853802,"teacher_disagreement_score":0.0033310587,"about_ca_system_score_codex":0.00070186966,"about_ca_system_score_gemma":0.00043090692,"threshold_uncertainty_score":0.01761657},"labels":[],"label_agreement":null},{"id":"W2056304863","doi":"10.1111/j.1755-053x.2009.01053.x","title":"Prebid Run‐Ups Ahead of Canadian Takeovers: How Big Is the Problem?","year":2009,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Insider trading; Insider; Business; Inside information; Alternative trading system; Monetary economics; Algorithmic trading; Volume (thermodynamics); Private information retrieval; High-frequency trading; Trading strategy; Financial economics; Economics; Finance; Law; Computer security; Political science; Computer science","score_opus":0.030176090224928263,"score_gpt":0.18514958037098295,"score_spread":0.1549734901460547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056304863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929541,0.0011192277,0.00016265793,0.0011237492,0.000018537618,0.000009685651,0.0012899289,0.000016139864,0.0033059441],"genre_scores_gemma":[0.99773407,0.00032448152,0.00004838817,0.000045449626,0.000022130298,0.0000015429245,0.0007375909,0.0000027194485,0.0010836059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995548,0.000013805993,0.00001443804,0.00004754465,0.00020139941,0.00016800179],"domain_scores_gemma":[0.99640626,0.0003943445,0.0017830773,0.00008939685,0.0009491059,0.0003778764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049745,0.00023184862,0.00028118672,0.0012482278,0.00094773865,0.002025308,0.00050524535,0.0006198909,0.0019930634],"category_scores_gemma":[0.0035944802,0.0001422592,0.0002720337,0.0013702981,0.00042123804,0.0007925772,0.00054584525,0.0007829365,0.0002665536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025965247,0.000053006668,0.9698158,0.00004492255,0.00005763661,0.00047061424,0.0009918044,0.0013919479,0.00068367703,0.0008743057,0.0027831458,0.022573518],"study_design_scores_gemma":[0.0000030065085,0.000023780685,0.99545103,0.0000120702825,0.00001688873,0.000045273166,0.00072769105,0.0012358429,0.00030332926,0.00014311039,0.0020235907,0.000014334908],"about_ca_topic_score_codex":0.83193046,"about_ca_topic_score_gemma":0.8847658,"teacher_disagreement_score":0.16806954,"about_ca_system_score_codex":0.006725716,"about_ca_system_score_gemma":0.004359241,"threshold_uncertainty_score":0.3381186},"labels":[],"label_agreement":null},{"id":"W2056506575","doi":"10.5539/ijef.v3n1p152","title":"Market Microstructure: The Components of Black-Box","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Sains Malaysia","keywords":"Market microstructure; Market liquidity; High-frequency trading; Algorithmic trading; Alternative trading system; Dark liquidity; Business; Scope (computer science); Flash trading; Economics; Electronic trading; Industrial organization; Financial market; Process (computing); Trading strategy; Finance; Financial economics; Order (exchange); Computer science","score_opus":0.031259284169330534,"score_gpt":0.20582789687862696,"score_spread":0.1745686127092964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056506575","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27373794,0.005344931,0.59154963,0.008104886,0.00033495124,0.00070645596,0.0006521287,0.00072890153,0.11884013],"genre_scores_gemma":[0.89754164,0.0018959845,0.09143299,0.00064431544,0.00030543876,0.00033421352,0.00018689965,0.00015307408,0.007505544],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99760073,0.0006218347,0.00014023976,0.0004953681,0.00092725933,0.00021459618],"domain_scores_gemma":[0.9889205,0.004952053,0.0022598768,0.001937345,0.0013830616,0.0005471805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003932903,0.0005333877,0.0011446897,0.0016127242,0.0011487434,0.0056886007,0.0013573167,0.0021147823,0.007071656],"category_scores_gemma":[0.013528203,0.0008813517,0.0010149925,0.001171981,0.006144507,0.011786215,0.0022605052,0.0018388912,0.00085392967],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006599402,0.000052808155,0.002968283,0.000101227466,0.00004163981,0.00011359892,0.0004972164,0.003528505,0.0017000056,0.9778162,0.00062460406,0.012489949],"study_design_scores_gemma":[0.00003604415,0.00008481245,0.0068683024,0.000102632664,0.00004086282,0.00018529425,0.00020797183,0.028794024,0.0008042075,0.9516317,0.011194412,0.000049609473],"about_ca_topic_score_codex":0.0017152858,"about_ca_topic_score_gemma":0.000805796,"teacher_disagreement_score":0.007071656,"about_ca_system_score_codex":0.0018749258,"about_ca_system_score_gemma":0.0019107532,"threshold_uncertainty_score":0.023657024},"labels":[],"label_agreement":null},{"id":"W2056796778","doi":"10.1111/j.1475-6803.2009.01244.x","title":"MUTUAL FUND DAILY CONDITIONAL PERFORMANCE","year":2009,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"","keywords":"Autoregressive conditional heteroskedasticity; Econometrics; Heteroscedasticity; Bivariate analysis; Autoregressive model; Conditional variance; Economics; Statistics; Mathematics; Volatility (finance)","score_opus":0.1499621728983599,"score_gpt":0.3266883190218999,"score_spread":0.17672614612353998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056796778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98186505,0.00034151104,0.0046321424,0.00038797085,0.00002556301,0.000016268794,0.0030944713,0.00038376945,0.009253296],"genre_scores_gemma":[0.9966799,0.0000784011,0.00043077386,0.000015771267,0.000021958447,0.0000051927236,0.001706849,0.000025646063,0.0010355707],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984402,0.00036535476,0.00014418275,0.00025826285,0.00059166696,0.00020032497],"domain_scores_gemma":[0.98010534,0.0053261486,0.009187102,0.001972262,0.0024934341,0.0009157667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004433633,0.00042318687,0.0005446941,0.0016264614,0.0002127441,0.002091978,0.0005230727,0.00050991174,0.00443769],"category_scores_gemma":[0.025053428,0.00016293763,0.00042500495,0.00200997,0.00047202807,0.0018500015,0.0012549716,0.0006175749,0.0011384094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005260889,0.00012723317,0.77855796,0.00014799277,0.00048055386,0.00025320717,0.0003712956,0.1344794,0.001570442,0.014232715,0.007180353,0.062072664],"study_design_scores_gemma":[0.000028325609,0.00039905365,0.8230566,0.000061150706,0.00017492984,0.0004358081,0.00025710423,0.15345131,0.00493537,0.010647761,0.0064272196,0.00012548915],"about_ca_topic_score_codex":0.0050694896,"about_ca_topic_score_gemma":0.003589959,"teacher_disagreement_score":0.0050694896,"about_ca_system_score_codex":0.0013198899,"about_ca_system_score_gemma":0.0006038268,"threshold_uncertainty_score":0.023447573},"labels":[],"label_agreement":null},{"id":"W2056894239","doi":"10.1016/j.econmod.2014.01.024","title":"Asymmetric contracts, cash flows and risk taking of mutual funds","year":2014,"lang":"en","type":"article","venue":"Economic Modelling","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"Closed-end fund; Manager of managers fund; Cash flow; Open-end fund; Portfolio; Finance; Business; Fund of funds; Mutual fund; Economics; Fund administration; Actuarial science; Incentive; Institutional investor; Microeconomics; Corporate governance","score_opus":0.032317635554683005,"score_gpt":0.20181393986299487,"score_spread":0.16949630430831186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056894239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85575885,0.003170571,0.12311587,0.0039386847,0.00010012507,0.00003945218,0.00012608971,0.00005409647,0.01369626],"genre_scores_gemma":[0.99379337,0.0006386832,0.0021414263,0.000030213741,0.00005007501,0.0000136039525,0.000026968268,0.000009329961,0.0032963182],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989436,0.0006102801,0.000059924347,0.000095728705,0.00014287127,0.00014752576],"domain_scores_gemma":[0.98811346,0.007916449,0.002581601,0.00040997073,0.00036531824,0.0006132103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004717861,0.0005767841,0.00079934514,0.00089472736,0.0007490545,0.0032607815,0.0010324641,0.0026156462,0.0032049455],"category_scores_gemma":[0.027071916,0.0005710119,0.0005890583,0.0010408087,0.0025905578,0.0063187582,0.001337536,0.0018578068,0.00014645448],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001671152,0.000086355285,0.0041308766,0.0000560758,0.00004004619,0.00020655112,0.00037591546,0.23208986,0.0004721516,0.75260043,0.0008285981,0.008945992],"study_design_scores_gemma":[0.000044085766,0.000030897634,0.0015597361,0.000020853257,0.000022366648,0.000063027204,0.00010299909,0.37825903,0.00013689662,0.6190349,0.0006996794,0.000025549045],"about_ca_topic_score_codex":0.0045384103,"about_ca_topic_score_gemma":0.002524208,"teacher_disagreement_score":0.004717861,"about_ca_system_score_codex":0.0019788682,"about_ca_system_score_gemma":0.0015719719,"threshold_uncertainty_score":0.024950683},"labels":[],"label_agreement":null},{"id":"W2057091778","doi":"10.2139/ssrn.1972507","title":"Information Environment and Equity Risk Premium Volatility Around the World","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Volatility risk premium; Volatility (finance); Equity risk; Equity premium puzzle; Risk premium; Financial economics; Business; Equity (law); Economics; Implied volatility; Finance; Private equity; Political science","score_opus":0.022654091018475066,"score_gpt":0.20137889654249191,"score_spread":0.17872480552401684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057091778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893261,0.0010278713,0.0004319529,0.0013413815,0.000015123179,0.0000036103718,0.00042843228,0.00000875761,0.007416871],"genre_scores_gemma":[0.9992404,0.0002512552,0.0000433434,0.00003646961,0.000020179634,7.038039e-7,0.00011398835,0.0000024274996,0.00029124023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998592,0.000030630847,0.000010151556,0.000031583742,0.000033307744,0.000035152047],"domain_scores_gemma":[0.99563664,0.0015111434,0.0018469576,0.00013208305,0.00047974734,0.00039352168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041215308,0.00009003983,0.00018885633,0.0011208213,0.00030860657,0.0023819776,0.00018877405,0.00058212026,0.0032292828],"category_scores_gemma":[0.0044164592,0.000115311006,0.0001348335,0.0018809438,0.0005246391,0.00160036,0.00055589783,0.0005783483,0.00030309014],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092032575,0.00023222304,0.9109872,0.00008538528,0.00034739176,0.00096729444,0.0020276278,0.008089011,0.002574907,0.026345583,0.00557233,0.041850798],"study_design_scores_gemma":[0.000022426304,0.00009379167,0.97765017,0.000044039585,0.00012467563,0.00037118417,0.0014766664,0.0042407988,0.0004541851,0.011996372,0.0034853069,0.00004044276],"about_ca_topic_score_codex":0.005339441,"about_ca_topic_score_gemma":0.006944808,"teacher_disagreement_score":0.005339441,"about_ca_system_score_codex":0.0005174631,"about_ca_system_score_gemma":0.00018618262,"threshold_uncertainty_score":0.010803044},"labels":[],"label_agreement":null},{"id":"W2057185341","doi":"10.5539/ijef.v4n10p125","title":"Investigating the Effect of Fundamental Accounting Variables on the Stock Prices Variations","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock (firearms); Restricted stock; Cash flow; Equity (law); Business; Economics; Investment decisions; Accounting information system; Growth stock; Accounting; Financial economics; Monetary economics; Econometrics; Finance; Stock market; Behavioral economics","score_opus":0.02615038434409147,"score_gpt":0.2289780745077843,"score_spread":0.20282769016369281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057185341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983664,0.0002627088,0.00023759739,0.00008031789,0.0000095268715,0.0000045756447,0.00017403964,0.0000055746505,0.00085919676],"genre_scores_gemma":[0.99934775,0.00012880318,0.000116366085,0.0000077024815,0.000009122547,0.0000015233056,0.00020799687,9.807841e-7,0.00017968297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999401,0.00013705443,0.00007012402,0.00011609936,0.00019302132,0.00008272241],"domain_scores_gemma":[0.9919757,0.003340294,0.0034428688,0.00033034803,0.0006161534,0.00029469654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009811621,0.00028028098,0.0002237453,0.0010067923,0.00019056498,0.000820342,0.00019358438,0.00027485058,0.00126758],"category_scores_gemma":[0.0061761057,0.00011886275,0.00042804112,0.0011702675,0.00028655888,0.0007075169,0.00033073334,0.0005356779,0.00019743618],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049954502,0.000025129293,0.99290717,0.000010628322,0.00009239407,0.00009713745,0.000078527875,0.00052569475,0.00044800903,0.00013344621,0.00008302847,0.005548979],"study_design_scores_gemma":[0.0000010511794,0.000059874532,0.99785244,0.0000042835777,0.0000290764,0.000044295557,0.000081235834,0.0012973194,0.00035842982,0.00008137416,0.00018690898,0.0000037965526],"about_ca_topic_score_codex":0.0061123758,"about_ca_topic_score_gemma":0.0075797164,"teacher_disagreement_score":0.0061123758,"about_ca_system_score_codex":0.0003715972,"about_ca_system_score_gemma":0.00043123856,"threshold_uncertainty_score":0.012153566},"labels":[],"label_agreement":null},{"id":"W2057430025","doi":"10.1016/j.jbankfin.2009.08.011","title":"Cross-sectional tests of the CAPM and Fama–French three-factor model","year":2009,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Simon Fraser University","funders":"Simon Fraser University; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Capital asset pricing model; Econometrics; Range (aeronautics); Zero (linguistics); Economics; Statistics; Mathematics; Engineering","score_opus":0.03692941380314352,"score_gpt":0.24259600502025985,"score_spread":0.20566659121711633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057430025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98901224,0.00057392265,0.004115356,0.0011139514,0.00013717958,0.000030252466,0.0011659785,0.00015382179,0.0036973197],"genre_scores_gemma":[0.9972391,0.00009428639,0.00052257784,0.00008017694,0.00007301663,0.000016451342,0.0012516107,0.00003067378,0.00069207285],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.991831,0.005251676,0.00039794945,0.0014541429,0.00033200937,0.0007331444],"domain_scores_gemma":[0.7717133,0.19182605,0.014931402,0.011836835,0.004867018,0.0048253974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025535729,0.0014045495,0.0016368647,0.0017224187,0.0012894418,0.0035142158,0.0028634286,0.0024499753,0.02190443],"category_scores_gemma":[0.06455946,0.000777941,0.0026825427,0.001744364,0.0016552749,0.0034000636,0.002618499,0.0019905611,0.0030112606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012809183,0.0025010149,0.83975774,0.00030698106,0.006326702,0.001838254,0.0027937235,0.05691327,0.0015544269,0.02984239,0.010611735,0.0347446],"study_design_scores_gemma":[0.0020641957,0.0031859186,0.6748895,0.00012471162,0.0036799286,0.0008624376,0.0062197447,0.273413,0.0014531992,0.026299885,0.0075241653,0.00028335484],"about_ca_topic_score_codex":0.013713068,"about_ca_topic_score_gemma":0.004142648,"teacher_disagreement_score":0.025535729,"about_ca_system_score_codex":0.0008426592,"about_ca_system_score_gemma":0.0011148236,"threshold_uncertainty_score":0.1350475},"labels":[],"label_agreement":null},{"id":"W2057450401","doi":"10.1093/rfs/hhq045","title":"Solving Consumption and Portfolio Choice Problems: The State Variable Decomposition Method","year":2010,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Portfolio; State (computer science); Variable (mathematics); Decomposition; Consumption (sociology); Computer science; Finance; Management; Economics; Sociology; Mathematics; Algorithm; Social science","score_opus":0.04490457122292115,"score_gpt":0.3114191230536544,"score_spread":0.26651455183073325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057450401","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001349604,0.00022102559,0.99704665,0.00014186924,0.000029891604,0.000017659777,0.000023954595,0.000030704,0.0011385939],"genre_scores_gemma":[0.15816133,0.0013309618,0.83219963,0.00022321823,0.00018636874,0.0005783212,0.00024739906,0.00013259504,0.0069402065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992895,0.00041964138,0.000023235445,0.00007461426,0.00014029641,0.000052687075],"domain_scores_gemma":[0.99827886,0.0013411822,0.000084182546,0.000070431786,0.00017607084,0.000049264738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018496856,0.0009020847,0.001128639,0.0006488137,0.00036378962,0.0010589528,0.00090834167,0.0013281944,0.0043241335],"category_scores_gemma":[0.0045228186,0.00062623597,0.0011241774,0.0009371369,0.0007745908,0.0011227914,0.0010896703,0.0020944392,0.0006160203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003058875,0.000058035956,0.0007286115,0.000111533074,0.00007379404,0.00006171218,0.00006484166,0.81954277,0.000790656,0.13473696,0.002360008,0.041440483],"study_design_scores_gemma":[0.000009810578,0.000005614893,0.000050319362,0.000010661853,0.000005069547,0.000007920005,0.0000047309204,0.97268707,0.00010867676,0.026032945,0.0010728718,0.0000042510223],"about_ca_topic_score_codex":0.005264959,"about_ca_topic_score_gemma":0.0033638042,"teacher_disagreement_score":0.005264959,"about_ca_system_score_codex":0.0007608805,"about_ca_system_score_gemma":0.0018473574,"threshold_uncertainty_score":0.01446569},"labels":[],"label_agreement":null},{"id":"W2057693159","doi":"10.11114/afa.v1i2.725","title":"Asset Allocation and Security Selection in Theory &amp; in Practice: A Literature Survey from a Practitioner’s Perspective","year":2015,"lang":"en","type":"article","venue":"Applied Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; National Pension Service; Common Fund; Wellcome Trust; BNP Paribas Cardif; Harvard University; Yale University; HSBC Bank USA; Bill and Melinda Gates Foundation","keywords":"Efficient-market hypothesis; Irrational number; Financial market; Economics; Finance; Capital market; Financial economics; Profit (economics); Business; Microeconomics; Stock market","score_opus":0.023276083535491484,"score_gpt":0.2585063509226894,"score_spread":0.23523026738719793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057693159","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01955019,0.9222786,0.01589184,0.020447556,0.0004557294,0.00006195386,0.00012932839,0.00004963106,0.02113506],"genre_scores_gemma":[0.16861397,0.81471765,0.01040043,0.0030691484,0.0009449766,0.00012296952,0.00018662769,0.00002355745,0.0019206579],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99750996,0.0010706107,0.0002706121,0.00030320854,0.0007044943,0.00014118456],"domain_scores_gemma":[0.97501975,0.020848647,0.00092876033,0.0004139344,0.0024322965,0.00035653746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050439974,0.00045299373,0.0009552563,0.008357477,0.0007826214,0.0039609587,0.0008357462,0.0023313775,0.0045091356],"category_scores_gemma":[0.014389341,0.00046584057,0.000441814,0.011901641,0.0025506152,0.006129822,0.0012274039,0.0016011457,0.0007264301],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009125189,0.00022551075,0.01322982,0.013681612,0.00011247963,0.000454196,0.0067141224,0.0014822816,0.00045845716,0.10769918,0.015853763,0.8399973],"study_design_scores_gemma":[0.000042729134,0.00041820793,0.048047386,0.056916952,0.00026023312,0.0026890342,0.031488106,0.007421118,0.0010705823,0.1447721,0.7067293,0.00014429723],"about_ca_topic_score_codex":0.0025294095,"about_ca_topic_score_gemma":0.0022485638,"teacher_disagreement_score":0.008357477,"about_ca_system_score_codex":0.0019941553,"about_ca_system_score_gemma":0.0036905573,"threshold_uncertainty_score":0.026675522},"labels":[],"label_agreement":null},{"id":"W2057726644","doi":"10.1080/09603100802199661","title":"Impact of bond index revisions","year":2009,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Bond; Bond market index; Economics; Index (typography); Bond market; Econometrics; Equity (law); Stock market index; Financial economics; Issuer; Stock (firearms); Monetary economics; Stock market; Finance; Biology","score_opus":0.01822945178597215,"score_gpt":0.22267554468030082,"score_spread":0.20444609289432866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057726644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876003,0.0007635743,0.0015402604,0.0005435148,0.00011789517,0.00004965994,0.000997782,0.00013859766,0.008248455],"genre_scores_gemma":[0.99621767,0.00020880748,0.0004092006,0.0001019739,0.00007212498,0.0000066052717,0.00065968966,0.00003093994,0.0022929616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948277,0.0015142792,0.0006249829,0.00068734476,0.0018103442,0.0005353478],"domain_scores_gemma":[0.8951451,0.058994975,0.02962785,0.0071767783,0.006744207,0.0023111734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065969806,0.00054455077,0.0005898766,0.0011394281,0.0004056167,0.0025875696,0.0007214208,0.0008607461,0.0060392185],"category_scores_gemma":[0.06113693,0.0002512656,0.000729365,0.00067243807,0.0006653481,0.0015696805,0.0011832882,0.0019956012,0.0009548372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00551843,0.0013314136,0.741603,0.00044702098,0.0011518963,0.0025903117,0.00069837604,0.048518684,0.040032268,0.009595316,0.0059794253,0.14253378],"study_design_scores_gemma":[0.00012380515,0.0030320494,0.9020024,0.00006907691,0.0005945864,0.001664655,0.0010152889,0.033303943,0.034650944,0.006111792,0.017303491,0.00012802113],"about_ca_topic_score_codex":0.0023655724,"about_ca_topic_score_gemma":0.0020609833,"teacher_disagreement_score":0.0065969806,"about_ca_system_score_codex":0.00062777265,"about_ca_system_score_gemma":0.0005821885,"threshold_uncertainty_score":0.034888566},"labels":[],"label_agreement":null},{"id":"W2058185280","doi":"10.2139/ssrn.2369498","title":"Are Informed Traders Sensitive to Regulatory Environments?","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Business","score_opus":0.014343618506386735,"score_gpt":0.1893517402296278,"score_spread":0.17500812172324107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058185280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8796306,0.0014122112,0.01429012,0.02329751,0.00026212021,0.000056935503,0.00026536535,0.00013405524,0.08065099],"genre_scores_gemma":[0.99699545,0.0003547398,0.00034718914,0.00090635364,0.000083412655,0.000007944795,0.000024848814,0.000008402266,0.0012717575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979522,0.00097403536,0.00008842647,0.00028570884,0.00033718356,0.00036249505],"domain_scores_gemma":[0.9618307,0.021214686,0.011535601,0.0028724172,0.0013477675,0.0011987658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047983583,0.00020156264,0.00043956313,0.0006528865,0.0004858111,0.005310495,0.00054610625,0.0032086417,0.0064421603],"category_scores_gemma":[0.04354908,0.00041438013,0.00024178589,0.00053092133,0.0025265252,0.004384959,0.0008533375,0.00207598,0.0009844018],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021380144,0.0010146647,0.35452035,0.00041790665,0.00066070585,0.003095757,0.008719555,0.026396107,0.005900298,0.38556415,0.01440199,0.19717051],"study_design_scores_gemma":[0.0003088778,0.00035334125,0.12211101,0.00016530846,0.00024366437,0.0011777127,0.008153489,0.023589578,0.0032431253,0.82228786,0.018214215,0.00015190795],"about_ca_topic_score_codex":0.00069781597,"about_ca_topic_score_gemma":0.00058105506,"teacher_disagreement_score":0.0064421603,"about_ca_system_score_codex":0.00042378454,"about_ca_system_score_gemma":0.00064194354,"threshold_uncertainty_score":0.02537644},"labels":[],"label_agreement":null},{"id":"W2058943782","doi":"10.1017/s0968565010000016","title":"Financial market liquidity, returns and market growth: evidence from <i>Bolsa</i> and <i>Börse</i>, 1902–1925","year":2010,"lang":"en","type":"article","venue":"Financial History Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Market liquidity; Funding liquidity; Liquidity crisis; Capital market; Financial system; Economics; Monetary economics; Market impact; Third market; Business; Financial market; Market microstructure; Order (exchange); Finance","score_opus":0.036355261170013274,"score_gpt":0.21377659139596364,"score_spread":0.17742133022595036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058943782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9692731,0.02270091,0.000100181445,0.0005376585,0.00002522406,0.00000865893,0.0015726575,0.0000062606537,0.005775395],"genre_scores_gemma":[0.98753333,0.009148296,0.00007178929,0.000049655526,0.00010470513,0.0000051853735,0.0021201759,0.0000039211045,0.0009630222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981314,0.000033729095,0.000017040893,0.00003331345,0.00005534777,0.000047445094],"domain_scores_gemma":[0.9978162,0.00043773593,0.0011966795,0.00005613609,0.00031010772,0.00018313725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006898209,0.0001914147,0.00024669577,0.0025182543,0.0002822479,0.0011772739,0.00027892596,0.0002629461,0.0019422338],"category_scores_gemma":[0.0023908971,0.00010663315,0.00018410449,0.003390597,0.0004981236,0.0004954075,0.0005653638,0.00032499494,0.0003698177],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045661133,0.00009143407,0.9452762,0.000302015,0.000207237,0.0006826428,0.0019576554,0.00070904836,0.0005340384,0.0022280375,0.0068331663,0.040721975],"study_design_scores_gemma":[0.00001249418,0.00003611927,0.9927389,0.0000796493,0.00004306217,0.00009385213,0.0007580113,0.0001398917,0.00010963148,0.00015413422,0.005829335,0.000004888794],"about_ca_topic_score_codex":0.041937668,"about_ca_topic_score_gemma":0.05250093,"teacher_disagreement_score":0.041937668,"about_ca_system_score_codex":0.00075601053,"about_ca_system_score_gemma":0.000495453,"threshold_uncertainty_score":0.08338714},"labels":[],"label_agreement":null},{"id":"W205920433","doi":"10.2139/ssrn.1344386","title":"Forecasting Economic Fundamentals and Expected Stock Returns Using Equity Market Order Flows: Macro Information in a Micro Measure?","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economics; Growth stock; Equity (law); Econometrics; Market liquidity; Financial economics; Earnings response coefficient; Stock market; Stock (firearms); Earnings; Monetary economics; Restricted stock; Finance","score_opus":0.036220151642068314,"score_gpt":0.24402445652366134,"score_spread":0.20780430488159302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W205920433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811528,0.0006223244,0.014514843,0.0007014105,0.000059759233,0.000012428073,0.0006745042,0.000057460365,0.002204529],"genre_scores_gemma":[0.99652356,0.00033949022,0.0022465966,0.000033109864,0.00011635082,0.0000055088044,0.00035658706,0.0000052912715,0.0003735869],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997862,0.00006206161,0.000024146091,0.000053170344,0.000042814565,0.000031644537],"domain_scores_gemma":[0.99525404,0.0026567795,0.0011475852,0.00036552572,0.00034497844,0.00023098584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013013089,0.00043809906,0.0006131185,0.0012773423,0.00014292286,0.0017595029,0.00040229264,0.00077045726,0.0013942894],"category_scores_gemma":[0.011662778,0.00039340882,0.0002534834,0.0013763064,0.0002404101,0.0030900282,0.00050403003,0.0008876611,0.00042679434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043416195,0.0002495972,0.8346455,0.000071944065,0.00032058326,0.00014776894,0.00015780526,0.053388927,0.0021527365,0.0071541453,0.0026923213,0.098584436],"study_design_scores_gemma":[0.00004333507,0.00017629446,0.51766366,0.000058960028,0.00012671121,0.00005585946,0.00020190932,0.463468,0.00175342,0.01505967,0.0013359106,0.000056311746],"about_ca_topic_score_codex":0.004354484,"about_ca_topic_score_gemma":0.007312553,"teacher_disagreement_score":0.004354484,"about_ca_system_score_codex":0.00030485677,"about_ca_system_score_gemma":0.00028766968,"threshold_uncertainty_score":0.00865829},"labels":[],"label_agreement":null},{"id":"W2059476787","doi":"10.1111/1540-6261.00521","title":"Asset Pricing with Conditioning Information: A New Test","year":2003,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital asset pricing model; Stochastic discount factor; Econometrics; Nonparametric statistics; Economics; Sharpe ratio; Test (biology); Risk premium; Factor analysis; Asset (computer security); Financial economics; Computer science","score_opus":0.01751677946498289,"score_gpt":0.19364515990881867,"score_spread":0.17612838044383577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059476787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27165174,0.0006420188,0.70378894,0.002673654,0.0005096377,0.00027711506,0.0019190415,0.0011264514,0.017411392],"genre_scores_gemma":[0.9379788,0.00023187051,0.05649193,0.0006939937,0.0007025728,0.00025881236,0.0016608272,0.00013283038,0.0018484714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9839011,0.008240361,0.00077416596,0.0025197677,0.003870409,0.00069417467],"domain_scores_gemma":[0.7396368,0.23379883,0.007921171,0.01215536,0.004058293,0.0024296395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018352883,0.0010843911,0.0022640086,0.003412239,0.00070730323,0.0028581955,0.0032553324,0.0032122186,0.013056811],"category_scores_gemma":[0.17731118,0.0004382354,0.0013696216,0.0025947269,0.0036585163,0.007635967,0.0032184662,0.0040523745,0.0008662166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020940118,0.001516756,0.16491614,0.00046098014,0.0023369705,0.0011994684,0.0005838009,0.10329533,0.003966463,0.4228008,0.011494539,0.2853348],"study_design_scores_gemma":[0.0005353497,0.0011314239,0.02379978,0.00011047165,0.00027174831,0.0008192487,0.00017692454,0.75530374,0.0023281712,0.2106171,0.004732857,0.00017321715],"about_ca_topic_score_codex":0.0011145294,"about_ca_topic_score_gemma":0.00045342534,"teacher_disagreement_score":0.018352883,"about_ca_system_score_codex":0.00092349073,"about_ca_system_score_gemma":0.0019114111,"threshold_uncertainty_score":0.0970605},"labels":[],"label_agreement":null},{"id":"W2059573371","doi":"10.1016/j.jfineco.2004.08.004","title":"Crossborder dividend taxation and the preferences of taxable and nontaxable investors: Evidence from Canada","year":2005,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":97,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; McGill University","funders":"","keywords":"Dividend; Taxable income; Arbitrage; Portfolio; Business; Dividend policy; Monetary economics; Financial economics; Economics; Finance; Accounting","score_opus":0.02609249737269454,"score_gpt":0.19862583545337828,"score_spread":0.17253333808068375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059573371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904184,0.001122952,0.00007678024,0.0011606812,0.000009171562,0.000021210837,0.0013417845,0.000003149647,0.005845831],"genre_scores_gemma":[0.99360895,0.0012916675,0.00016189532,0.00019623479,0.000006242338,0.0000062317563,0.00113807,0.000004703842,0.0035860462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905366,0.000089362955,0.000043222994,0.00011309881,0.00037419604,0.00032642003],"domain_scores_gemma":[0.9891187,0.0030234668,0.0017638906,0.00035434516,0.0042812764,0.0014583365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016540887,0.00025587223,0.0005685499,0.0013578178,0.0041296044,0.0028021059,0.0012962063,0.00093828316,0.004442665],"category_scores_gemma":[0.009807848,0.00033388459,0.00043722833,0.0042944853,0.0018286853,0.00079068716,0.0008370122,0.0012171129,0.00028209484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012441747,0.00030996802,0.9497817,0.00011726626,0.00022174988,0.00044847434,0.007539194,0.001082385,0.0004826186,0.0073649003,0.008431495,0.022976113],"study_design_scores_gemma":[0.0001706332,0.0000683097,0.9760124,0.00011556514,0.00023687723,0.0001086958,0.010333927,0.0011673074,0.00045367383,0.0011560009,0.010105119,0.00007148725],"about_ca_topic_score_codex":0.99653316,"about_ca_topic_score_gemma":0.99826777,"teacher_disagreement_score":0.033526037,"about_ca_system_score_codex":0.033526037,"about_ca_system_score_gemma":0.036857318,"threshold_uncertainty_score":0.24324954},"labels":[],"label_agreement":null},{"id":"W2060378070","doi":"10.2139/ssrn.895763","title":"Time-Varying Liquidity Risk and the Cross Section of Stock Returns","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Market liquidity; Stock (firearms); Section (typography); Monetary economics; Financial economics; Economics; Business; Financial system; Engineering","score_opus":0.0125913814512497,"score_gpt":0.22276049596667274,"score_spread":0.21016911451542306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060378070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935557,0.0011860062,0.003384065,0.00057227135,0.00001978492,0.000004136515,0.00018891915,0.000041897623,0.0010470996],"genre_scores_gemma":[0.99806863,0.0004321583,0.00016734407,0.00003135896,0.00004340916,0.0000028319016,0.00016796634,0.00000934914,0.0010769409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997216,0.0000836708,0.000022250326,0.000068877736,0.00003373553,0.00006988731],"domain_scores_gemma":[0.9797305,0.013844533,0.0041630794,0.00078169856,0.00046550768,0.0010147261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030951737,0.00035003724,0.00043040546,0.0012258062,0.00026469323,0.0019431673,0.00060243654,0.0018163888,0.005208234],"category_scores_gemma":[0.015117801,0.000498295,0.00058792304,0.0010762044,0.0006332274,0.0020411867,0.000733627,0.0013995556,0.0007471606],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013804558,0.00035719312,0.8411462,0.00011623223,0.0010040014,0.0027342385,0.00090266543,0.06640417,0.011209372,0.04274181,0.0021148424,0.02988886],"study_design_scores_gemma":[0.000070644885,0.00034690087,0.8046032,0.000043545384,0.00035662818,0.0012831998,0.0004317389,0.14800677,0.001881191,0.041615963,0.0012306517,0.00012955532],"about_ca_topic_score_codex":0.002389052,"about_ca_topic_score_gemma":0.0023955135,"teacher_disagreement_score":0.005208234,"about_ca_system_score_codex":0.00047969763,"about_ca_system_score_gemma":0.00021201915,"threshold_uncertainty_score":0.017423272},"labels":[],"label_agreement":null},{"id":"W2060821215","doi":"10.2139/ssrn.1410091","title":"O/S: The Relative Trading Activity in Options and Stock","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Earnings; Algorithmic trading; Stock (firearms); Business; Financial economics; Alternative trading system; Trading strategy; Dispersion (optics); Econometrics; Stock exchange; Economics; Monetary economics; Finance","score_opus":0.020170690578050137,"score_gpt":0.22440816409182454,"score_spread":0.20423747351377441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060821215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706509,0.0008691465,0.011313419,0.00044193593,0.00013332313,0.000011350194,0.0008047472,0.00012273967,0.01565237],"genre_scores_gemma":[0.9957255,0.00025407612,0.001376958,0.000035681882,0.00007877625,0.0000056986514,0.00029618034,0.00002960085,0.0021974735],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99985945,0.000029834046,0.000012632434,0.000037771682,0.000039058195,0.000021191772],"domain_scores_gemma":[0.99765897,0.0013453804,0.00048492712,0.00012746154,0.00012531872,0.00025796038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006158929,0.00026899116,0.0002122202,0.0009052874,0.00017343678,0.0014984094,0.00029233252,0.0003894102,0.006420156],"category_scores_gemma":[0.006537871,0.00008383479,0.00014843371,0.0006660326,0.0003805324,0.0023574098,0.00047255997,0.0003464593,0.0005709994],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035441695,0.00027904817,0.32390344,0.00042288675,0.00027938877,0.0007920114,0.0009112863,0.01631449,0.051402066,0.19797236,0.00862877,0.39555004],"study_design_scores_gemma":[0.0001272062,0.0007786144,0.50870967,0.00015094834,0.00023221302,0.002696974,0.0014499619,0.1718743,0.019031348,0.27873394,0.016077014,0.00013787679],"about_ca_topic_score_codex":0.0005971677,"about_ca_topic_score_gemma":0.0006142591,"teacher_disagreement_score":0.006420156,"about_ca_system_score_codex":0.00017286454,"about_ca_system_score_gemma":0.00017128632,"threshold_uncertainty_score":0.02147758},"labels":[],"label_agreement":null},{"id":"W2061395379","doi":"10.1007/bf02752741","title":"Leveraged stock portfolios over long holding periods: A continuous-time model","year":2006,"lang":"en","type":"article","venue":"Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; York University","funders":"","keywords":"Econometrics; Stock (firearms); Economics; Leverage (statistics); Resampling; Mathematics; Statistics","score_opus":0.01840234744034249,"score_gpt":0.19452007311878525,"score_spread":0.17611772567844275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061395379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52410626,0.010648594,0.41820905,0.013532619,0.0006049928,0.00022309514,0.0038220917,0.0008181798,0.028035183],"genre_scores_gemma":[0.95561063,0.003472646,0.00822605,0.00040652909,0.0004627206,0.00012367815,0.00091656396,0.00010478585,0.030676393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985684,0.00041791968,0.0000898933,0.00035337755,0.00020038815,0.00036999158],"domain_scores_gemma":[0.98680216,0.0085151745,0.0020138489,0.0005290914,0.00089811516,0.0012415845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005329862,0.002206953,0.00465684,0.002173186,0.0009959328,0.0068103983,0.007349457,0.010070131,0.008275319],"category_scores_gemma":[0.017214334,0.0028041787,0.0021507712,0.0029863107,0.0033785084,0.007397784,0.0026850023,0.0052742516,0.0019238363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032311893,0.00023127643,0.004310891,0.00011831868,0.00024197236,0.0010095334,0.0001759804,0.911885,0.00047394008,0.07309176,0.0020095974,0.006128502],"study_design_scores_gemma":[0.000072596995,0.000048392325,0.00064719474,0.000018015244,0.000082821054,0.000101459475,0.00003381613,0.9834261,0.00003904396,0.015146251,0.00035351442,0.000030752028],"about_ca_topic_score_codex":0.017250229,"about_ca_topic_score_gemma":0.008907203,"teacher_disagreement_score":0.017250229,"about_ca_system_score_codex":0.0020352625,"about_ca_system_score_gemma":0.0017534246,"threshold_uncertainty_score":0.03429967},"labels":[],"label_agreement":null},{"id":"W2061587775","doi":"10.3905/jot.2007.682140","title":"Who Wants to Dance?","year":2007,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Risk–return spectrum; Stock exchange; Business; Portfolio; Attractiveness; Modern portfolio theory; Scope (computer science); Financial economics; Stock (firearms); Investment banking; Profit (economics); Finance; Economics; Microeconomics; Geography; Computer science","score_opus":0.04433353526881054,"score_gpt":0.23990566352110632,"score_spread":0.19557212825229578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061587775","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058760133,0.007123211,0.0035950276,0.28603244,0.005634432,0.00006894358,0.00037765806,0.00024092328,0.6381672],"genre_scores_gemma":[0.5011261,0.0057429867,0.0026965744,0.057525042,0.0013882213,0.00013746347,0.0003739471,0.00023138973,0.4307782],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985638,0.0005921055,0.000029292358,0.00025017894,0.00017000838,0.0003946858],"domain_scores_gemma":[0.9977379,0.00028812734,0.0001638297,0.00011147873,0.00026699496,0.0014316529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016253322,0.00036640788,0.00047292362,0.00062298175,0.006016876,0.0065065622,0.0008125915,0.0027091908,0.06987698],"category_scores_gemma":[0.005987018,0.00018612617,0.00033828968,0.0005714178,0.0039640134,0.005397894,0.002698919,0.0033946936,0.021127766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002135399,0.00026146928,0.023792775,0.00020591625,0.000050473067,0.0011153533,0.03489371,0.00027242748,0.00059134484,0.15271828,0.5487696,0.23711509],"study_design_scores_gemma":[0.000024681105,0.000059584603,0.0073372903,0.00039727497,0.000018891242,0.000946281,0.07056183,0.00045187635,0.00018477268,0.059691943,0.86027324,0.000052305644],"about_ca_topic_score_codex":0.0059120217,"about_ca_topic_score_gemma":0.013262975,"teacher_disagreement_score":0.06987698,"about_ca_system_score_codex":0.0012151552,"about_ca_system_score_gemma":0.0016097617,"threshold_uncertainty_score":0.23376173},"labels":[],"label_agreement":null},{"id":"W2061592431","doi":"10.5539/ijef.v4n5p56","title":"Stock Market Investors: Who Is More Rational, and Who Relies on Intuition?","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disposition effect; Fallacy; Behavioral economics; Stock market; Herd behavior; Economics; Investor behavior; Financial economics; Portfolio; Financial market; Rational expectations; Intuition; Stock (firearms); Prospect theory; Market maker; Microeconomics; Econometrics; Finance; Psychology; Herding","score_opus":0.029620939946584643,"score_gpt":0.23816675038281124,"score_spread":0.2085458104362266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061592431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95697474,0.0035337692,0.004653512,0.016108839,0.00020131958,0.0000402128,0.00009307889,0.000057263904,0.018337248],"genre_scores_gemma":[0.99523073,0.0008664489,0.00082318136,0.0019821941,0.00014040126,0.000008693699,0.000027510332,0.000012246933,0.0009087016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980179,0.0007745458,0.000118365046,0.00034019694,0.0004966516,0.00025232145],"domain_scores_gemma":[0.97263014,0.011701964,0.007870343,0.0030848524,0.0023124602,0.0024002513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007207089,0.00027181985,0.0006116349,0.0010856278,0.0005793974,0.0046198117,0.0005710353,0.0017271823,0.004869062],"category_scores_gemma":[0.0446703,0.00029801982,0.00030156624,0.00049557304,0.0032682163,0.0052697584,0.00095373025,0.0012236095,0.0008054421],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091966824,0.00059245434,0.72990996,0.00034431167,0.00059099385,0.00070955756,0.011847222,0.0017101105,0.004635728,0.025190692,0.0052348073,0.21831447],"study_design_scores_gemma":[0.0002532274,0.0008143496,0.7229568,0.00046701654,0.00042516136,0.0016644677,0.016008649,0.012935788,0.0027441282,0.22068003,0.020746026,0.0003043938],"about_ca_topic_score_codex":0.001727944,"about_ca_topic_score_gemma":0.0011103214,"teacher_disagreement_score":0.007207089,"about_ca_system_score_codex":0.0005820137,"about_ca_system_score_gemma":0.0006903276,"threshold_uncertainty_score":0.038115203},"labels":[],"label_agreement":null},{"id":"W2061691990","doi":"10.5539/ijef.v4n7p22","title":"Weak-Form Market Efficiency: Evidence from the Brazilian Stock Market","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predictive power; Profitability index; Stock market; Economics; Financial economics; Stock (firearms); Econometrics; Stock market index; Market efficiency; Technical analysis; Business; Finance","score_opus":0.030363972366201277,"score_gpt":0.2350766829311562,"score_spread":0.2047127105649549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061691990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99646544,0.0005240184,0.0011008616,0.00024057919,0.0000103385155,0.000013400409,0.00032886694,0.000014080294,0.001302356],"genre_scores_gemma":[0.99913603,0.00013401918,0.00011782097,0.000011769053,0.000016191898,0.0000025846743,0.00046415458,0.000003631371,0.000113876595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982546,0.0005432611,0.00022693843,0.00036629883,0.0004293703,0.00017954687],"domain_scores_gemma":[0.9442552,0.03152045,0.015641918,0.0047615115,0.0024993797,0.0013216158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063928985,0.00061103946,0.0007195913,0.002163842,0.00040294265,0.00153249,0.0007801128,0.0006924929,0.0020817243],"category_scores_gemma":[0.044173557,0.00022896728,0.0011093102,0.001955169,0.0010224744,0.0015997705,0.0009091707,0.00085854955,0.0004646467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014209612,0.00012077208,0.98431164,0.00003735886,0.00035298293,0.00017795402,0.0002192097,0.0028076735,0.0002990335,0.0014210772,0.00043770985,0.009672553],"study_design_scores_gemma":[0.0000409878,0.00028861206,0.9484617,0.000038754843,0.00028791654,0.0003089736,0.0005061733,0.043853603,0.0005661825,0.0042010136,0.0014200077,0.000026018075],"about_ca_topic_score_codex":0.0114908805,"about_ca_topic_score_gemma":0.0073244674,"teacher_disagreement_score":0.0114908805,"about_ca_system_score_codex":0.0004057927,"about_ca_system_score_gemma":0.00039076997,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2061701347","doi":"10.1016/j.ememar.2014.06.002","title":"Market impacts of trades for stocks listed on the Borsa Istanbul","year":2014,"lang":"en","type":"article","venue":"Emerging Markets Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Price discovery; Monetary economics; Business; Sample (material); Agency (philosophy); Stock (firearms); Financial economics; Economics; Index (typography)","score_opus":0.0360894400415954,"score_gpt":0.25178909415334244,"score_spread":0.21569965411174705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061701347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9140265,0.059662975,0.00012212235,0.0033099626,0.0005374121,0.000007830718,0.002840008,0.000015396065,0.019477833],"genre_scores_gemma":[0.9734124,0.02226936,0.000059093607,0.0001377104,0.00026134436,0.0000022072732,0.0016659395,0.000006285178,0.002185754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972457,0.000040914314,0.000027871858,0.000030647643,0.000114398696,0.0000615648],"domain_scores_gemma":[0.9986027,0.0002727819,0.0005477819,0.0000275029,0.00041694,0.00013226648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005851603,0.00021942929,0.0002292576,0.0013413797,0.00023484211,0.0020914834,0.00024291396,0.00053742283,0.0028494354],"category_scores_gemma":[0.0016606072,0.000074138356,0.00040681192,0.0019721058,0.00030529097,0.00092384097,0.0004440522,0.00054198527,0.00040589407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031927277,0.0005042067,0.6860656,0.001864097,0.0014063121,0.004640301,0.0012876965,0.0062579494,0.0037631993,0.022207892,0.033944022,0.23486596],"study_design_scores_gemma":[0.000049764883,0.0003472213,0.9503655,0.00045249454,0.00046084754,0.001110138,0.0017960907,0.0020661938,0.0009833176,0.0026523739,0.039678626,0.000037529702],"about_ca_topic_score_codex":0.009336301,"about_ca_topic_score_gemma":0.013143037,"teacher_disagreement_score":0.009336301,"about_ca_system_score_codex":0.0010570609,"about_ca_system_score_gemma":0.0006276958,"threshold_uncertainty_score":0.018563926},"labels":[],"label_agreement":null},{"id":"W2062176338","doi":"10.1111/j.1475-6803.2009.01253.x","title":"INTERNALIZATION AND MARKET QUALITY: AN EMPIRICAL INVESTIGATION","year":2009,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Internalization; Business; Stock exchange; Economics; Variance (accounting); Quality (philosophy); Monetary economics; Finance; Accounting","score_opus":0.188931908769885,"score_gpt":0.39238832798070034,"score_spread":0.20345641921081534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062176338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969085,0.0000697686,0.00030156923,0.00015500066,0.0000020544612,0.00003094696,0.000067511595,0.0000066774805,0.0024580255],"genre_scores_gemma":[0.99954057,0.000017382632,0.00011094809,0.00001699756,0.000006483532,0.0000061497585,0.00008199819,0.0000023546695,0.00021726704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995551,0.0015321802,0.00043666305,0.0003487597,0.0015223931,0.0006090949],"domain_scores_gemma":[0.84667784,0.06725755,0.06180534,0.0069343927,0.010879885,0.0064450707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055628726,0.00014989756,0.00056402304,0.0016474624,0.00084109575,0.003164709,0.00083638116,0.00087988947,0.0049254103],"category_scores_gemma":[0.038878035,0.00027261637,0.0004846887,0.0017170232,0.0024014371,0.0019815576,0.0023057328,0.0022388613,0.00031694627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000273691,0.00052981346,0.988632,0.00002898285,0.000088916335,0.00009363008,0.0013826542,0.0005069041,0.00032332967,0.0017943456,0.00018461973,0.006160988],"study_design_scores_gemma":[0.000012735021,0.00017087291,0.99545246,0.000011901108,0.00003083426,0.000052453695,0.0014720301,0.0017463702,0.00019152815,0.00045867046,0.0003872624,0.0000129781365],"about_ca_topic_score_codex":0.009732629,"about_ca_topic_score_gemma":0.008081978,"teacher_disagreement_score":0.009732629,"about_ca_system_score_codex":0.0019046474,"about_ca_system_score_gemma":0.0010090624,"threshold_uncertainty_score":0.029419601},"labels":[],"label_agreement":null},{"id":"W2062289876","doi":"10.1016/j.ribaf.2012.09.006","title":"Asset prices and exchange risk: Empirical evidence from Canada","year":2012,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Asset (computer security); Monetary economics; Inflation (cosmology); Stock exchange; Empirical evidence; Stock market; Value (mathematics); Exchange rate; Financial economics; Finance","score_opus":0.18758372038558574,"score_gpt":0.3443413424158497,"score_spread":0.15675762203026394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062289876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749073,0.0059858114,0.0001864555,0.0015478099,0.00001979254,0.000028062974,0.0054693697,0.000010628834,0.011844784],"genre_scores_gemma":[0.9844787,0.0064224354,0.00037396178,0.00020641784,0.00001783785,0.000009284423,0.0045353286,0.00001392605,0.0039421697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999275,0.000056623652,0.000049669354,0.00010397297,0.00031586655,0.00019879549],"domain_scores_gemma":[0.9899747,0.0027537725,0.0015628882,0.00032918243,0.004367899,0.001011527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011096611,0.000349331,0.000587441,0.0022752048,0.003426346,0.0028903875,0.0010109219,0.00057611923,0.00526418],"category_scores_gemma":[0.0086915055,0.00032758305,0.00050097465,0.010526553,0.0012285156,0.0008968705,0.0008842486,0.0011151306,0.00034555732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090374216,0.00022341237,0.9343195,0.00025570934,0.00035368782,0.00067099597,0.0040976224,0.0015352294,0.00036703327,0.0073167514,0.010775431,0.03918094],"study_design_scores_gemma":[0.000093685456,0.000029643372,0.98552555,0.00012983836,0.00023957873,0.00010359083,0.0035080258,0.0007572058,0.00023540328,0.0006398116,0.008688973,0.00004875597],"about_ca_topic_score_codex":0.99676704,"about_ca_topic_score_gemma":0.99807405,"teacher_disagreement_score":0.023852764,"about_ca_system_score_codex":0.023852764,"about_ca_system_score_gemma":0.031297542,"threshold_uncertainty_score":0.17306471},"labels":[],"label_agreement":null},{"id":"W2062397570","doi":"10.1016/j.jbankfin.2004.06.037","title":"Optimal clearing margin, capital and price limits for futures clearinghouses","year":2005,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Concordia University","funders":"Concordia University; Ottawa Hospital Research Institute","keywords":"Clearing; Margin (machine learning); Futures contract; Economics; Capital (architecture); Residual; Monetary economics; Microeconomics; Business; Financial economics; Finance; Computer science","score_opus":0.023979353360728508,"score_gpt":0.22156593475813918,"score_spread":0.19758658139741067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062397570","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34603813,0.0017194834,0.6179383,0.002106541,0.0002541479,0.00020399515,0.00042711516,0.0007041509,0.030608177],"genre_scores_gemma":[0.96907085,0.00041092694,0.024377488,0.00006372921,0.000081691454,0.00006511718,0.00012015689,0.00011328017,0.0056967153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987562,0.00048108093,0.00009907171,0.00024009918,0.00015921582,0.00026446118],"domain_scores_gemma":[0.9838393,0.011660948,0.0016736042,0.000615161,0.0011168071,0.001094187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053620166,0.0011399378,0.002868076,0.001139172,0.0010707154,0.006773728,0.0014211764,0.0027580801,0.008038771],"category_scores_gemma":[0.040861037,0.0015002277,0.0006931247,0.0007502299,0.0022992557,0.007758473,0.001701478,0.002165932,0.00073044834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009006415,0.00023305777,0.0007767318,0.00018187292,0.000036942325,0.00026485164,0.0002564927,0.76377046,0.00573057,0.19183764,0.0044263517,0.031584334],"study_design_scores_gemma":[0.00011789376,0.00009992404,0.0003322527,0.00003376892,0.000023725755,0.000056969326,0.000073647745,0.8908474,0.0020075743,0.10547665,0.0008939839,0.000036239613],"about_ca_topic_score_codex":0.0024737688,"about_ca_topic_score_gemma":0.001689422,"teacher_disagreement_score":0.008038771,"about_ca_system_score_codex":0.0018608414,"about_ca_system_score_gemma":0.0027531728,"threshold_uncertainty_score":0.028357387},"labels":[],"label_agreement":null},{"id":"W2062620784","doi":"10.1142/s0219091506000872","title":"The Cross Section of Expected Returns and Amortized Spreads","year":2006,"lang":"en","type":"article","venue":"Review of Pacific Basin Financial Markets and Policies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; Brock University","funders":"","keywords":"Market liquidity; Economics; Econometrics; Capital asset pricing model; Stock (firearms); Risk premium; Financial economics; Monetary economics; Geography","score_opus":0.012660407380613154,"score_gpt":0.22995253361295107,"score_spread":0.2172921262323379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062620784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91080034,0.020281123,0.049162965,0.0010289107,0.00004992668,0.000031762153,0.00071942527,0.00011281223,0.01781279],"genre_scores_gemma":[0.98828214,0.0060683223,0.0018798866,0.000059858125,0.00009672241,0.000021430082,0.00033866416,0.000013945285,0.003238992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938977,0.00016936996,0.000046581674,0.00019116233,0.00013461511,0.00006852537],"domain_scores_gemma":[0.98472565,0.010556319,0.0028977974,0.0006238042,0.0009073434,0.0002890997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021459574,0.00033893177,0.00039344485,0.002046015,0.00016509158,0.0015997445,0.00053780153,0.00080874225,0.0036061755],"category_scores_gemma":[0.020870043,0.00034950924,0.00037448795,0.0021741176,0.00050442776,0.0026891374,0.0006083075,0.0006767007,0.0005378815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035621182,0.0001586215,0.5650681,0.00039099524,0.0016673235,0.0017567455,0.00052504404,0.1119338,0.0046300194,0.18635553,0.0022127477,0.12494488],"study_design_scores_gemma":[0.000033672422,0.0002315445,0.5988339,0.00016435837,0.0004197446,0.0020979508,0.00030856792,0.13934302,0.0024379,0.2483557,0.0076358845,0.00013784433],"about_ca_topic_score_codex":0.0023516146,"about_ca_topic_score_gemma":0.0013481753,"teacher_disagreement_score":0.0036061755,"about_ca_system_score_codex":0.00062098197,"about_ca_system_score_gemma":0.00020561885,"threshold_uncertainty_score":0.012063861},"labels":[],"label_agreement":null},{"id":"W2062914525","doi":"10.1162/leon_a_00162","title":"The Art of Finance: An Artist Uses Financial Economics as Inspiration","year":2011,"lang":"en","type":"article","venue":"Leonardo","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Francophone University Association; Université du Québec à Montréal","funders":"","keywords":"Perspective (graphical); Dimension (graph theory); Literal (mathematical logic); Sociology; Epistemology; Finance; Art; Economics; Philosophy; Visual arts; Mathematics; Linguistics","score_opus":0.04564694539354271,"score_gpt":0.20941878899663877,"score_spread":0.16377184360309605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062914525","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02193268,0.026689362,0.07569651,0.08700054,0.009401152,0.000103382,0.00012944113,0.0005813361,0.77846557],"genre_scores_gemma":[0.63847876,0.025542313,0.07198548,0.017106477,0.0118676135,0.00020972817,0.00012094929,0.0010083194,0.23368038],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99852633,0.0007674373,0.00004343122,0.0001247107,0.00040475768,0.00013329796],"domain_scores_gemma":[0.99753153,0.0016722825,0.00010713712,0.00026693157,0.00024305117,0.00017902679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034659277,0.0010154615,0.0005691506,0.0029516248,0.004849628,0.009780195,0.0008018876,0.0031056849,0.005817091],"category_scores_gemma":[0.0071507567,0.00029199352,0.0006246771,0.0015592708,0.014157884,0.0073146857,0.0031449732,0.0038918417,0.0014792772],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016214408,0.000016310129,0.00021668481,0.000051178966,0.00000868293,0.00012590282,0.0030204894,0.0004409362,0.0002346759,0.94856626,0.030270468,0.01703223],"study_design_scores_gemma":[0.000015245371,0.00003126963,0.00037486662,0.00021286772,0.000010983751,0.00047758562,0.0011965237,0.002234644,0.00032704088,0.4786721,0.5164236,0.000023272103],"about_ca_topic_score_codex":0.0011930697,"about_ca_topic_score_gemma":0.0017777238,"teacher_disagreement_score":0.009780195,"about_ca_system_score_codex":0.0021425497,"about_ca_system_score_gemma":0.0012735237,"threshold_uncertainty_score":0.019460082},"labels":[],"label_agreement":null},{"id":"W2063427656","doi":"10.1016/j.jedc.2006.07.003","title":"Optimal liquidation strategies and their implications","year":2006,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Market liquidity; Economics; Volatility (finance); Transaction cost; Microeconomics; Proxy (statistics); Asset (computer security); Econometrics; Monetary economics; Computer science","score_opus":0.009137205071428822,"score_gpt":0.1955981467765752,"score_spread":0.18646094170514638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063427656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6604,0.0055216555,0.22208443,0.020469017,0.0003204558,0.00016742849,0.00041876666,0.00033668266,0.09028148],"genre_scores_gemma":[0.9858942,0.0011012785,0.007511045,0.00029187097,0.00010378902,0.00006649088,0.000047641537,0.000039192597,0.004944537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992256,0.00031659403,0.000059974023,0.00011795162,0.000119834345,0.00016008379],"domain_scores_gemma":[0.98565763,0.0105915675,0.0015603049,0.0003748019,0.0011362036,0.0006795217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026000931,0.00073889666,0.0013152951,0.0009901192,0.0007732751,0.004100975,0.001267312,0.0032742303,0.009304666],"category_scores_gemma":[0.024268605,0.0008451613,0.00047755014,0.0008172484,0.0019994122,0.006956782,0.0014239283,0.00222776,0.00047150257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002916038,0.0003486867,0.0017566341,0.00015667231,0.000047076832,0.00020981694,0.00024840832,0.097175024,0.0010772573,0.8643658,0.0048685833,0.029454459],"study_design_scores_gemma":[0.000088009605,0.000064119886,0.00053797994,0.00003879148,0.000021219947,0.00004562118,0.00021504948,0.25230947,0.00035538196,0.74557227,0.0007289663,0.00002323223],"about_ca_topic_score_codex":0.0012593379,"about_ca_topic_score_gemma":0.001265988,"teacher_disagreement_score":0.009304666,"about_ca_system_score_codex":0.0013550823,"about_ca_system_score_gemma":0.0017557725,"threshold_uncertainty_score":0.031127214},"labels":[],"label_agreement":null},{"id":"W2063511022","doi":"10.5539/ijef.v5n3p1","title":"Using Morningstar’s Analytical Measures to Evaluate Investment Recommendations Made by Consumer Reports","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audience measurement; Actuarial science; Business; Investment (military); Index (typography); Marketing; Service (business); Advertising; Finance; Economics; Computer science; Law","score_opus":0.07317625049023842,"score_gpt":0.2826610157565121,"score_spread":0.2094847652662737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063511022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93063676,0.00039990604,0.013347622,0.00034705707,0.00011996311,0.0007784727,0.0052508214,0.00037509875,0.048744436],"genre_scores_gemma":[0.96584177,0.00031938602,0.021994468,0.00015969295,0.00019648712,0.000765334,0.0047971457,0.00006852906,0.0058571817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9911349,0.002251114,0.0012796472,0.00047862483,0.004618399,0.00023747329],"domain_scores_gemma":[0.9038252,0.039268687,0.02710776,0.006149425,0.022266932,0.0013820579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008517369,0.00053827104,0.00041228178,0.009405336,0.0006382859,0.001977474,0.0005676459,0.00072473526,0.0034791827],"category_scores_gemma":[0.050127223,0.00023768331,0.0007183378,0.0071020788,0.00070597656,0.0025449963,0.0010038936,0.0008629996,0.0013607207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075000897,0.0005726608,0.84707075,0.00031937697,0.00037581092,0.00018213107,0.005026262,0.0017273427,0.0025007979,0.0068434775,0.014962833,0.119668595],"study_design_scores_gemma":[0.000028136314,0.0007352421,0.96908295,0.00008661381,0.00008358271,0.0002450787,0.0047546714,0.0055186087,0.002077144,0.0016074271,0.015660755,0.000119742464],"about_ca_topic_score_codex":0.004702146,"about_ca_topic_score_gemma":0.0067076012,"teacher_disagreement_score":0.009405336,"about_ca_system_score_codex":0.0009112574,"about_ca_system_score_gemma":0.00042388373,"threshold_uncertainty_score":0.04504472},"labels":[],"label_agreement":null},{"id":"W2063793740","doi":"10.2139/ssrn.2225585","title":"GARCH Models for Daily Stock Returns: Impact of Estimation Frequency on Value-at-Risk and Expected Shortfall Forecasts","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Expected shortfall; Autoregressive conditional heteroskedasticity; Value at risk; Econometrics; Economics; Stock (firearms); Estimation; Financial economics; Volatility (finance); Actuarial science; Risk management; Finance; Geography; Portfolio","score_opus":0.02437653492919843,"score_gpt":0.2405806421729825,"score_spread":0.21620410724378408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063793740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63430494,0.0030857264,0.35615748,0.0014981249,0.00032388596,0.00007219436,0.00091280544,0.001707381,0.0019375115],"genre_scores_gemma":[0.9534128,0.0012012372,0.041891668,0.00016311658,0.00031140744,0.000058201567,0.0011600518,0.00025567206,0.0015458531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942092,0.004314559,0.0002359217,0.0005099127,0.0004981253,0.00023223039],"domain_scores_gemma":[0.82729363,0.15888456,0.003877369,0.007246007,0.0021857219,0.0005125937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02480913,0.0009436373,0.001959051,0.0014826194,0.0006840798,0.0023686904,0.0016939791,0.0021708142,0.0030141596],"category_scores_gemma":[0.08403375,0.0011151519,0.0014762678,0.0012611342,0.00071205944,0.0048347325,0.0009629513,0.0030413694,0.00087338145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014300181,0.00020214924,0.015912475,0.00012963981,0.00064392993,0.00015630809,0.00018597447,0.90298444,0.0011139053,0.008860018,0.0020671417,0.06631406],"study_design_scores_gemma":[0.000064359745,0.00009538587,0.0030900266,0.000016609443,0.00009749138,0.000038437924,0.00002248565,0.9885606,0.0004391771,0.007317417,0.00023026117,0.000027646405],"about_ca_topic_score_codex":0.0039017068,"about_ca_topic_score_gemma":0.0035263766,"teacher_disagreement_score":0.02480913,"about_ca_system_score_codex":0.00059772516,"about_ca_system_score_gemma":0.00069550454,"threshold_uncertainty_score":0.13120484},"labels":[],"label_agreement":null},{"id":"W2064117138","doi":"10.1111/j.1475-6803.2007.00216.x","title":"CONCENTRATED OPENING VOLUME: MARKET CLOSURE OR STRATEGIC TRADING?","year":2007,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Closure (psychology); Volume (thermodynamics); Extension (predicate logic); Algorithmic trading; Economics; Business; Financial economics; Monetary economics; Market economy; Computer science","score_opus":0.15280654264690344,"score_gpt":0.3368259450569229,"score_spread":0.1840194024100195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064117138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842404,0.0010466162,0.0033220584,0.0011089601,0.000053358923,0.00002680362,0.00013033618,0.000054538094,0.010016833],"genre_scores_gemma":[0.99941874,0.0000826626,0.00013121108,0.000043482105,0.00006381192,0.0000025532022,0.000039243565,0.000003961437,0.00021436223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989794,0.00017647169,0.00012863836,0.0002623537,0.0003291029,0.00012399674],"domain_scores_gemma":[0.9639501,0.012971735,0.016988873,0.0019804402,0.001716426,0.002392402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024720104,0.00025462548,0.00079276116,0.0012127241,0.00036500322,0.0027615211,0.0008511033,0.00079841446,0.0042532096],"category_scores_gemma":[0.021737954,0.00022486124,0.00042535286,0.0009890618,0.002159251,0.0031640623,0.0011992948,0.0010769987,0.00030155558],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022679225,0.00069626234,0.8242636,0.00038244374,0.00045049566,0.0019369564,0.0026970184,0.010129446,0.010376564,0.056913137,0.003869085,0.08601712],"study_design_scores_gemma":[0.00015706185,0.000816779,0.86728215,0.0001826551,0.00021964585,0.0016989474,0.002220696,0.028802296,0.0034813592,0.089958526,0.005084734,0.00009526719],"about_ca_topic_score_codex":0.0010278877,"about_ca_topic_score_gemma":0.00084431615,"teacher_disagreement_score":0.0042532096,"about_ca_system_score_codex":0.0007590229,"about_ca_system_score_gemma":0.0002666413,"threshold_uncertainty_score":0.014228404},"labels":[],"label_agreement":null},{"id":"W2064231809","doi":"10.1108/17439131111122120","title":"Market regimes, sectorial investments, and time‐varying risk premiums","year":2011,"lang":"en","type":"article","venue":"International Journal of Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Volatility (finance); Economics; Markov chain; Econometrics; Macro; Risk premium; Financial economics; Market risk; Monetary economics; Statistics; Computer science; Mathematics","score_opus":0.021913100164996726,"score_gpt":0.2058882962675176,"score_spread":0.18397519610252086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064231809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94777286,0.00056444487,0.044180907,0.00072540157,0.000024032242,0.00003518883,0.00024439214,0.00007743643,0.006375348],"genre_scores_gemma":[0.9983015,0.00014163683,0.0006321143,0.000011893777,0.000008668567,0.000005882812,0.000036598638,0.0000026450673,0.0008589447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999689,0.00009610256,0.000016329464,0.00006701008,0.000048704773,0.0000828896],"domain_scores_gemma":[0.9962192,0.0016556311,0.0015612248,0.00025160334,0.00014667021,0.00016575432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013780993,0.00028923835,0.00039704278,0.0005320249,0.00022445958,0.0016423286,0.0004584202,0.00084565184,0.003559741],"category_scores_gemma":[0.0058422955,0.00019269838,0.0007129972,0.0004750888,0.00062413025,0.0011720418,0.0004612032,0.0007755466,0.00019335157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038484964,0.0002738378,0.23595884,0.00012078972,0.00045611087,0.00082275964,0.00051151216,0.49245283,0.0041461918,0.21842761,0.0016564385,0.044788223],"study_design_scores_gemma":[0.000038406128,0.00020266739,0.089116424,0.000038198865,0.00012150045,0.0002857169,0.00023633332,0.80407,0.0009783425,0.10252192,0.0023476526,0.00004293381],"about_ca_topic_score_codex":0.0051483694,"about_ca_topic_score_gemma":0.0029546197,"teacher_disagreement_score":0.0051483694,"about_ca_system_score_codex":0.0009342062,"about_ca_system_score_gemma":0.0005031713,"threshold_uncertainty_score":0.011908531},"labels":[],"label_agreement":null},{"id":"W2064526396","doi":"10.2139/ssrn.423920","title":"Model Uncertainty, Limited Market Participation and Asset Prices","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":121,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Financial economics; Econometrics; Asset (computer security); Economics; Business; Computer science","score_opus":0.028242616312744145,"score_gpt":0.23118551949574398,"score_spread":0.20294290318299985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064526396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91612405,0.00051667466,0.07032408,0.0039203665,0.000038422502,0.00002997214,0.0002841403,0.000080935824,0.008681367],"genre_scores_gemma":[0.9978956,0.0001071421,0.00068836956,0.000042462518,0.000025390855,0.000013743804,0.00004751528,0.000007767879,0.0011721539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99893385,0.00058705773,0.00004644197,0.00015863692,0.00009357767,0.00018037774],"domain_scores_gemma":[0.97087777,0.024212321,0.003063939,0.00082031236,0.00034625814,0.00067936885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040669558,0.0004915562,0.0014685888,0.00045170292,0.00045866275,0.0033608722,0.0011374522,0.002679697,0.006548199],"category_scores_gemma":[0.037851684,0.00059806113,0.0005372034,0.0006250139,0.0013060974,0.0060083326,0.0016056546,0.0019011064,0.00041184438],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008070029,0.0002597539,0.015014634,0.000106890366,0.00016842874,0.0006030883,0.00039739063,0.7826946,0.0005898655,0.18843052,0.0020118516,0.008916031],"study_design_scores_gemma":[0.000093568415,0.000068252855,0.0026826253,0.000009486437,0.000033272194,0.00010219882,0.00010922399,0.7702934,0.00014214213,0.22605176,0.00039132935,0.000022619446],"about_ca_topic_score_codex":0.0026676748,"about_ca_topic_score_gemma":0.0019399684,"teacher_disagreement_score":0.006548199,"about_ca_system_score_codex":0.0007449832,"about_ca_system_score_gemma":0.00058061694,"threshold_uncertainty_score":0.021905899},"labels":[],"label_agreement":null},{"id":"W2064796634","doi":"10.2139/ssrn.1596287","title":"Do Peso Problems Explain the Returns to the Carry Trade?","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Carry (investment); Economics; Monetary economics; Business; Finance","score_opus":0.015328195371416643,"score_gpt":0.2035857830373339,"score_spread":0.18825758766591727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064796634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96017027,0.0018654799,0.005017039,0.008827847,0.00012947663,0.00002370521,0.00047772378,0.000112103655,0.023376362],"genre_scores_gemma":[0.9968219,0.00040047787,0.00014866644,0.00017815879,0.00013389252,0.0000031063385,0.00014096787,0.000024552324,0.002148324],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997633,0.000046983292,0.0000129591035,0.000040893276,0.000041196752,0.00009453424],"domain_scores_gemma":[0.9911102,0.005171847,0.0020901714,0.00057015516,0.00042345896,0.0006341928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014338722,0.00038088195,0.0005872107,0.00114119,0.0004180446,0.0027067028,0.0008271707,0.0021336817,0.016235672],"category_scores_gemma":[0.018228553,0.0002844542,0.0005636305,0.0012197962,0.0012027278,0.0038051412,0.000671038,0.0019562794,0.0020004818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022671563,0.00056711724,0.69892436,0.0002861209,0.00053545955,0.0022017444,0.0006619371,0.031688537,0.0018364175,0.1626051,0.014616093,0.083810024],"study_design_scores_gemma":[0.00038728534,0.0003971579,0.37082416,0.000096459225,0.00036836116,0.0011386509,0.0022089363,0.0861276,0.0011841417,0.5210255,0.016168557,0.00007330334],"about_ca_topic_score_codex":0.0023441715,"about_ca_topic_score_gemma":0.0013703834,"teacher_disagreement_score":0.016235672,"about_ca_system_score_codex":0.0004724886,"about_ca_system_score_gemma":0.00041210983,"threshold_uncertainty_score":0.05431378},"labels":[],"label_agreement":null},{"id":"W2065091511","doi":"10.5539/ijef.v3n3p15","title":"Expected Return and Portfolio Rebalancing","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Rate of return on a portfolio; Portfolio optimization; Portfolio insurance; Modern portfolio theory; Post-modern portfolio theory; Replicating portfolio; Financial economics; Expected return; Order (exchange); Application portfolio management; Risk–return spectrum; Stock market; Actuarial science; Economics; Business; Econometrics; Finance; Project portfolio management","score_opus":0.032514155376621355,"score_gpt":0.2069175145218313,"score_spread":0.17440335914520994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065091511","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42247882,0.013273593,0.5184531,0.0047540525,0.00029091025,0.00010983179,0.00014364326,0.00034215322,0.040153813],"genre_scores_gemma":[0.97694665,0.0012561396,0.018094517,0.00010801958,0.0001227589,0.000025921832,0.00005579287,0.000040039657,0.0033501447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99855644,0.0005388228,0.00010429341,0.00025599852,0.00036547583,0.00017899756],"domain_scores_gemma":[0.9943984,0.003388368,0.0012459541,0.00029447456,0.0004780464,0.00019464896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002992479,0.00065293914,0.0007058417,0.0006874121,0.00025288135,0.0014936186,0.0008848795,0.0009317802,0.0022954382],"category_scores_gemma":[0.019132134,0.00017150842,0.00034073537,0.0006481094,0.00091218343,0.003833902,0.00074946607,0.0011969226,0.000322869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057801354,0.0003075911,0.019217256,0.00032974101,0.00024914928,0.00070481066,0.00034435827,0.42433515,0.009075461,0.32472518,0.0029811047,0.21715222],"study_design_scores_gemma":[0.0000830746,0.0006892597,0.018740667,0.00014923554,0.000119117074,0.0009544805,0.00027595085,0.54250944,0.0050938837,0.42292228,0.008373946,0.000088606605],"about_ca_topic_score_codex":0.000681028,"about_ca_topic_score_gemma":0.00036295562,"teacher_disagreement_score":0.002992479,"about_ca_system_score_codex":0.0011924595,"about_ca_system_score_gemma":0.00047115504,"threshold_uncertainty_score":0.015825927},"labels":[],"label_agreement":null},{"id":"W206513915","doi":"10.2139/ssrn.2431750","title":"The Dynamic Market-Derived Capital Pricing Model: Theoretical Foundations and Empirical Analysis","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"","keywords":"Economics; Econometrics; Financial economics; Microeconomics","score_opus":0.010196813466416373,"score_gpt":0.23199346622015005,"score_spread":0.22179665275373367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W206513915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20438817,0.002202249,0.74497503,0.004830866,0.00030518082,0.000120177996,0.00089436676,0.00043027342,0.0418537],"genre_scores_gemma":[0.96659744,0.0011662318,0.014830016,0.0002199983,0.00025062828,0.00008222343,0.0004296205,0.000087384265,0.01633652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948126,0.00016853694,0.000019941905,0.00013461242,0.0001004654,0.000095305506],"domain_scores_gemma":[0.9973767,0.0015525821,0.00037626346,0.0001757266,0.00029801132,0.00022073554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015030068,0.00085658237,0.0018243142,0.0010532476,0.0005674839,0.004074642,0.003002441,0.002454333,0.009524887],"category_scores_gemma":[0.006951602,0.00059591094,0.0009131213,0.0017128778,0.001797266,0.005483673,0.0013997256,0.002426262,0.001071001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056443816,0.00014055181,0.0013079057,0.000078137615,0.000056363668,0.0001742373,0.00012066509,0.26869798,0.00044739837,0.7157891,0.0042265374,0.008904617],"study_design_scores_gemma":[0.00002763876,0.000016616017,0.00032883577,0.000008074895,0.000019127763,0.0000649183,0.00002078966,0.78936255,0.00006327564,0.20936689,0.00070264784,0.00001863317],"about_ca_topic_score_codex":0.0039422335,"about_ca_topic_score_gemma":0.0023334601,"teacher_disagreement_score":0.009524887,"about_ca_system_score_codex":0.0015797962,"about_ca_system_score_gemma":0.0015732925,"threshold_uncertainty_score":0.031863928},"labels":[],"label_agreement":null},{"id":"W2065246984","doi":"10.2139/ssrn.1746190","title":"The Wisdom of Crowds: Mutual Fund Investors' Aggregate Asset Allocation Decisions","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Crowds; Mutual fund; Business; Aggregate (composite); Asset allocation; Asset (computer security); Capital asset pricing model; Financial economics; Index fund; Finance; Economics; Institutional investor; Open-end fund; Computer science; Portfolio; Computer security","score_opus":0.055375602527922355,"score_gpt":0.23114792236374251,"score_spread":0.17577231983582015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065246984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95437336,0.001178828,0.010048699,0.011340349,0.00009093987,0.000018000334,0.00019672162,0.00005635465,0.022696666],"genre_scores_gemma":[0.9982576,0.000202697,0.00030465797,0.00013901021,0.000059332295,0.000003908302,0.00001977633,0.000005818917,0.0010072389],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989685,0.00053629075,0.000041358544,0.00015521655,0.00014921949,0.00014951949],"domain_scores_gemma":[0.9763059,0.018895512,0.0026599437,0.0007272843,0.0005600926,0.00085127004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005224312,0.00029566183,0.00094427215,0.00088792463,0.0009211176,0.0042768517,0.0004929331,0.0028643557,0.005005779],"category_scores_gemma":[0.04279701,0.0003322335,0.00034519445,0.0009426362,0.0015740208,0.005140328,0.0017497162,0.0018382401,0.000496005],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023876787,0.00034369607,0.16445944,0.00024197403,0.00069001573,0.0013814206,0.007960398,0.16656914,0.0019027885,0.45792773,0.028499907,0.16763575],"study_design_scores_gemma":[0.00010825269,0.00010012195,0.048348945,0.000055961435,0.00016035307,0.00017264548,0.0037461577,0.108284555,0.00043930733,0.83380646,0.004699834,0.00007746807],"about_ca_topic_score_codex":0.00407821,"about_ca_topic_score_gemma":0.0060196687,"teacher_disagreement_score":0.005224312,"about_ca_system_score_codex":0.001217757,"about_ca_system_score_gemma":0.00077158766,"threshold_uncertainty_score":0.027629137},"labels":[],"label_agreement":null},{"id":"W2066288731","doi":"10.5430/ijfr.v5n1p71","title":"Seasonality of Earnings Momentum in an Emerging Market: The Taiwan Experiences","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Stock (firearms); Economics; Earnings surprise; Post-earnings-announcement drift; Earnings response coefficient; Monetary economics; Financial economics; Finance; Geography","score_opus":0.08254309049086277,"score_gpt":0.35343585883075856,"score_spread":0.2708927683398958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066288731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99842143,0.00010109748,0.000021379477,0.0002819612,0.000004718383,0.0000022994027,0.000027843385,0.0000010808105,0.0011380601],"genre_scores_gemma":[0.99942905,0.00009781801,0.000009346967,0.000031736392,0.000009002841,7.9198816e-7,0.000036743375,9.909903e-7,0.00038450293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988675,0.000019602376,0.000009980797,0.000015472131,0.000023171639,0.00004506223],"domain_scores_gemma":[0.99903023,0.00018980945,0.0004397661,0.000052293315,0.00009376805,0.000194086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004406968,0.00007754557,0.00012468416,0.00039394025,0.00040601497,0.0011920672,0.00018821404,0.00032015846,0.0013868771],"category_scores_gemma":[0.0016470168,0.00007917428,0.000090624286,0.0005642306,0.0003414358,0.00076193264,0.0006426714,0.00055417453,0.00011532408],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028892775,0.00017698,0.92350847,0.00004073938,0.000034831886,0.0047379183,0.035771206,0.0002560327,0.00209598,0.0024684626,0.0024303605,0.028190136],"study_design_scores_gemma":[0.000011076595,0.000110692614,0.9665544,0.000023583467,0.000012914444,0.0005551706,0.026706873,0.0008255559,0.00028324826,0.00051731826,0.0043833023,0.00001583402],"about_ca_topic_score_codex":0.013377182,"about_ca_topic_score_gemma":0.019110605,"teacher_disagreement_score":0.013377182,"about_ca_system_score_codex":0.00038555145,"about_ca_system_score_gemma":0.00030025918,"threshold_uncertainty_score":0.026598632},"labels":[],"label_agreement":null},{"id":"W2066356210","doi":"10.1016/j.jfineco.2011.06.002","title":"Conditional risk and performance evaluation: Volatility timing, overconditioning, and new estimates of momentum alphas","year":2011,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":152,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Volatility (finance); Economics; Econometrics; Equity (law); Ex-ante; Market timing; Estimator; Realized variance; BETA (programming language); Forward volatility; Financial economics; Stochastic volatility; Statistics; Macroeconomics; Mathematics","score_opus":0.0702608607565136,"score_gpt":0.23658725203853606,"score_spread":0.16632639128202248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066356210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8217089,0.0009258146,0.17333001,0.00036471122,0.00006603635,0.000026652335,0.00024261755,0.00029105972,0.0030441221],"genre_scores_gemma":[0.9914799,0.00013354242,0.0077719335,0.00001690176,0.00006444419,0.000005073,0.00014449227,0.000034869892,0.0003489539],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980394,0.0008225246,0.00015926582,0.00028756348,0.0005457459,0.00014546167],"domain_scores_gemma":[0.95905405,0.026211675,0.0067761485,0.0044434937,0.0025126694,0.0010019365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008857233,0.00084034906,0.00077518116,0.0019328146,0.0002687333,0.0027314436,0.0008737847,0.0008387371,0.0011488036],"category_scores_gemma":[0.056452136,0.00035735112,0.00045469435,0.001186041,0.00076869497,0.00323429,0.0009714193,0.0016859856,0.00020292541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025954614,0.0006362539,0.35824788,0.00015292989,0.0007528671,0.00040139133,0.00050139613,0.31550527,0.009807119,0.047010064,0.001989776,0.2623996],"study_design_scores_gemma":[0.000043279004,0.0002513482,0.062301695,0.000027874808,0.00014030143,0.00015563608,0.000042186915,0.91469675,0.0055588917,0.016302599,0.0003832518,0.00009616979],"about_ca_topic_score_codex":0.0018611469,"about_ca_topic_score_gemma":0.0017947134,"teacher_disagreement_score":0.008857233,"about_ca_system_score_codex":0.0005254476,"about_ca_system_score_gemma":0.0006735907,"threshold_uncertainty_score":0.0468421},"labels":[],"label_agreement":null},{"id":"W2066778689","doi":"10.3905/jwm.2003.320468","title":"The Mortality of Funds of Hedge Funds","year":2003,"lang":"en","type":"article","venue":"The journal of wealth management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Alternative beta; Hedge fund; Global assets under management; Passive management; Fund of funds; Open-end fund; Institutional investor; Business; Data envelopment analysis; Alternative investment; Hedge accounting; Pension; Commodity pool; Performance fee; Actuarial science; Finance; Mathematics; Statistics; Corporate governance","score_opus":0.04343709170545026,"score_gpt":0.2515856776424535,"score_spread":0.20814858593700322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066778689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9038715,0.008981598,0.02668926,0.003169929,0.0003322741,0.00009243517,0.0030030822,0.00020176993,0.053658187],"genre_scores_gemma":[0.98781174,0.0010353493,0.0016420295,0.00008739432,0.00015629755,0.000042509968,0.0008881355,0.000016659484,0.008319916],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977552,0.0005570739,0.00014747353,0.00021420144,0.0008841487,0.00044198436],"domain_scores_gemma":[0.9958566,0.00094112457,0.0015292708,0.0004461372,0.00089844235,0.00032835864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034956795,0.00030092147,0.00053363456,0.0027491553,0.0005825018,0.0023652888,0.0005276645,0.00065610517,0.0022674517],"category_scores_gemma":[0.01609888,0.00010504422,0.00044839486,0.0016128931,0.00063591567,0.0012664944,0.00172792,0.00050817855,0.0005345002],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086301035,0.00006410468,0.308494,0.00019803527,0.00026792436,0.0009128294,0.0011577428,0.014013637,0.0018971658,0.32579806,0.015990287,0.33034322],"study_design_scores_gemma":[0.00010118299,0.000688978,0.43614164,0.00033304794,0.00025731945,0.006643867,0.0018256595,0.06378189,0.00936054,0.26765156,0.21307532,0.0001389826],"about_ca_topic_score_codex":0.0015217628,"about_ca_topic_score_gemma":0.0006372659,"teacher_disagreement_score":0.0034956795,"about_ca_system_score_codex":0.0015401314,"about_ca_system_score_gemma":0.0007946676,"threshold_uncertainty_score":0.018487155},"labels":[],"label_agreement":null},{"id":"W2067022684","doi":"10.1111/0022-1082.00358","title":"Why Do Money Fund Managers Voluntarily Waive Their Fees?","year":2001,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Performance fee; Incentive; Finance; Mutual fund; Closed-end fund; Fund of funds; Institutional investor; Fund administration; Economics; Microeconomics","score_opus":0.03693531846588133,"score_gpt":0.2133732538089538,"score_spread":0.17643793534307248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067022684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92508084,0.0017730934,0.0056708953,0.040551268,0.0003978561,0.00009261258,0.00027129488,0.00027176205,0.025890375],"genre_scores_gemma":[0.99442935,0.00023248483,0.00059986534,0.0023482041,0.00017466162,0.000030949974,0.00005534652,0.000023592116,0.0021056554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99459237,0.0019974392,0.0004789264,0.00049562,0.0014273843,0.0010082807],"domain_scores_gemma":[0.95039064,0.01721832,0.020731175,0.0038233332,0.0038097368,0.004026742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007797761,0.00020642976,0.00031350524,0.00083082257,0.0010283666,0.0027921572,0.00078809506,0.002362978,0.004252366],"category_scores_gemma":[0.08864228,0.0002632948,0.00025832246,0.00062504876,0.0013458284,0.002420513,0.0010195698,0.0012165583,0.0017811991],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006455149,0.0005168455,0.49273232,0.00018959209,0.00019291301,0.00079447567,0.005235333,0.0006239382,0.003611549,0.027861247,0.06490267,0.4026937],"study_design_scores_gemma":[0.00035606258,0.00063816685,0.74154186,0.0004686549,0.00017806023,0.0042037955,0.018149842,0.0066426764,0.008282142,0.081649154,0.13765392,0.00023567092],"about_ca_topic_score_codex":0.0028896746,"about_ca_topic_score_gemma":0.0037150364,"teacher_disagreement_score":0.007797761,"about_ca_system_score_codex":0.0011096194,"about_ca_system_score_gemma":0.0015137518,"threshold_uncertainty_score":0.041239023},"labels":[],"label_agreement":null},{"id":"W2067267464","doi":"10.1016/j.jacceco.2013.12.002","title":"The turn-of-the-year effect and tax-loss-selling by institutional investors","year":2014,"lang":"en","type":"article","venue":"Journal of Accounting and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capitalization; Quarter (Canadian coin); Incentive; Institutional investor; Monetary economics; Market capitalization; Point (geometry); Business; Basis point; Economics; Finance; Interest rate; Market economy; Corporate governance","score_opus":0.008511629461809502,"score_gpt":0.17674437206123428,"score_spread":0.16823274259942478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067267464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884228,0.0009222698,0.00064344605,0.0011710656,0.00006929317,0.000013994342,0.000353573,0.00002467084,0.00837888],"genre_scores_gemma":[0.9980204,0.00024411596,0.000030838364,0.00006078393,0.00003578104,0.0000018389429,0.000101465754,0.000004819062,0.0014998526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993967,0.00010800962,0.00004647226,0.000089370194,0.00009154628,0.00026798135],"domain_scores_gemma":[0.9813861,0.0088311555,0.005979278,0.00080387155,0.00070797256,0.0022915986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028800266,0.00021214127,0.0006968337,0.00064892,0.0008629095,0.003166393,0.0007908251,0.0021075415,0.013518102],"category_scores_gemma":[0.017251167,0.00029561983,0.00058885367,0.0007382262,0.0011113997,0.0023426653,0.0008911777,0.0025709537,0.000819467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032924006,0.0014844026,0.90786594,0.000092277754,0.0004968627,0.0012032264,0.0007867904,0.017660178,0.0018119744,0.030802755,0.006710527,0.027792603],"study_design_scores_gemma":[0.00021023328,0.00067416526,0.92498475,0.000065566084,0.0008201688,0.00046055077,0.0036473505,0.025957543,0.0024464463,0.0340912,0.006511833,0.00013017307],"about_ca_topic_score_codex":0.011502705,"about_ca_topic_score_gemma":0.020156885,"teacher_disagreement_score":0.013518102,"about_ca_system_score_codex":0.0013463462,"about_ca_system_score_gemma":0.0008182684,"threshold_uncertainty_score":0.04522252},"labels":[],"label_agreement":null},{"id":"W2067529105","doi":"10.1016/j.jempfin.2008.01.002","title":"Asset pricing models with errors-in-variables","year":2008,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université Laval","funders":"","keywords":"Treynor ratio; Capital asset pricing model; Econometrics; Economics; Estimator; Equity (law); Cost of equity; Mathematics; Financial economics; Statistics; Sharpe ratio; Portfolio; Cost of capital","score_opus":0.08326040864802951,"score_gpt":0.26407051052122926,"score_spread":0.18081010187319974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067529105","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10577655,0.0044751056,0.8700316,0.007214396,0.0012244476,0.0001277553,0.0014990827,0.0010053716,0.0086457245],"genre_scores_gemma":[0.9005477,0.0035458377,0.041510485,0.00069997326,0.0018103969,0.00019305863,0.0015078579,0.0003136934,0.049871076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99401313,0.0029717532,0.0003946216,0.0010498454,0.00067841157,0.00089226634],"domain_scores_gemma":[0.9364863,0.049448773,0.0060354113,0.0036204215,0.003203879,0.00120524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016474,0.003246334,0.005525168,0.0024000532,0.0010461948,0.007971963,0.0067686196,0.009509617,0.008019683],"category_scores_gemma":[0.06151312,0.0030709505,0.0026060678,0.003946953,0.003743478,0.010739879,0.003845984,0.008276634,0.0020564506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029660173,0.00020315203,0.0044940705,0.0001310924,0.00034995034,0.00056595233,0.00023035446,0.7396043,0.0002083512,0.23713095,0.004150347,0.012634869],"study_design_scores_gemma":[0.000086286265,0.00003854326,0.0003987535,0.00002081211,0.000094484916,0.000069290385,0.000024808176,0.9255481,0.000103762475,0.07278524,0.00079244596,0.000037440263],"about_ca_topic_score_codex":0.013874208,"about_ca_topic_score_gemma":0.006564215,"teacher_disagreement_score":0.016474,"about_ca_system_score_codex":0.0016421886,"about_ca_system_score_gemma":0.0019144161,"threshold_uncertainty_score":0.08712387},"labels":[],"label_agreement":null},{"id":"W2067647960","doi":"10.3390/jrfm5010020","title":"Stock Returns and Risk: Evidence from Quantile","year":2012,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quantile; Econometrics; Quantile regression; Skewness; Stock (firearms); Economics; Excess return; Financial economics; Relation (database); Stock market; Risk–return spectrum; Geography; Portfolio","score_opus":0.029483893805648965,"score_gpt":0.22332120128596789,"score_spread":0.1938373074803189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067647960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99008805,0.0013277269,0.0045986883,0.00038978943,0.000012967362,0.000010513143,0.0004311729,0.000052147647,0.0030888815],"genre_scores_gemma":[0.99879265,0.00028272424,0.00034922824,0.00004346323,0.000021905265,0.0000033642123,0.0003201218,0.000008947377,0.00017748335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974509,0.0011804991,0.00021350336,0.00040493623,0.0005969433,0.00015319358],"domain_scores_gemma":[0.94074476,0.033897974,0.015716534,0.0057049193,0.0031056092,0.00083015714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046654567,0.0002860828,0.00045318808,0.0013464591,0.00020476758,0.0008166879,0.00059670745,0.0005599828,0.0028378023],"category_scores_gemma":[0.039966386,0.00032519145,0.0006210142,0.0026459466,0.0006473051,0.0012848648,0.0011707642,0.0009380915,0.0006591081],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031201905,0.000085282314,0.96977746,0.000050935658,0.00051503524,0.00008931042,0.00026956687,0.0022428648,0.0004592239,0.0015524726,0.00039840955,0.024247462],"study_design_scores_gemma":[0.000017844772,0.00011320032,0.9889171,0.000023734457,0.0001415644,0.00012687183,0.00018171247,0.006058466,0.00040975455,0.0031748828,0.0008168036,0.00001801307],"about_ca_topic_score_codex":0.003893069,"about_ca_topic_score_gemma":0.0018034831,"teacher_disagreement_score":0.0046654567,"about_ca_system_score_codex":0.00020584327,"about_ca_system_score_gemma":0.00018676546,"threshold_uncertainty_score":0.024673522},"labels":[],"label_agreement":null},{"id":"W2067880821","doi":"10.1016/j.mcm.2006.12.014","title":"Testing the capital asset pricing model with Local Maximum Likelihood methods","year":2007,"lang":"en","type":"article","venue":"Mathematical and Computer Modelling","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Stochastic discount factor; Capital asset pricing model; Econometrics; Estimator; Sharpe ratio; Economics; Nonparametric statistics; Mathematics; Statistics; Portfolio; Financial economics","score_opus":0.05849899660216576,"score_gpt":0.24201192610002467,"score_spread":0.1835129294978589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067880821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56281835,0.00019055954,0.43406668,0.00060939055,0.000028762284,0.00005851033,0.00029304516,0.00055339996,0.0013812502],"genre_scores_gemma":[0.97283,0.00004113289,0.026154162,0.000052267154,0.000027237345,0.000045933863,0.0004051419,0.000042804368,0.00040122133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98933613,0.008428641,0.00030528058,0.00095086405,0.00062581646,0.00035328904],"domain_scores_gemma":[0.832696,0.15798797,0.0031796761,0.0035644493,0.0014413403,0.0011306232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013358435,0.0009491109,0.0016515612,0.0013816549,0.0006867236,0.0020383592,0.0026728534,0.0023741426,0.0037339102],"category_scores_gemma":[0.09041494,0.000714156,0.0012479002,0.000992911,0.0015152935,0.0038100828,0.0016819375,0.0018886862,0.0007235283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021429793,0.0012428502,0.10424254,0.00023615152,0.00121084,0.0007882431,0.00035236674,0.7637434,0.002305798,0.03126951,0.0021156631,0.090349585],"study_design_scores_gemma":[0.00008013734,0.00013399583,0.0025933392,0.0000057349594,0.000027034477,0.000060083377,0.000037852646,0.9847639,0.00047974195,0.011730348,0.00007442466,0.000013372384],"about_ca_topic_score_codex":0.0030078155,"about_ca_topic_score_gemma":0.0017768905,"teacher_disagreement_score":0.013358435,"about_ca_system_score_codex":0.0005962469,"about_ca_system_score_gemma":0.0012505453,"threshold_uncertainty_score":0.07064694},"labels":[],"label_agreement":null},{"id":"W2067934178","doi":"10.2466/17.01.pr0.112.1.89-99","title":"Effects of Daylight-Saving Time Changes on Stock Market Returns and Stock Market Volatility: Rebuttal","year":2013,"lang":"en","type":"letter","venue":"Psychological Reports","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto; York University","funders":"","keywords":"Rebuttal; Stock (firearms); Economics; Stock market; Replicate; Volatility (finance); Financial economics; Daylight; Econometrics; Law; History; Mathematics; Statistics; Political science","score_opus":0.02924971796787587,"score_gpt":0.2411232063333765,"score_spread":0.21187348836550063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067934178","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024208291,0.000637983,0.000086001055,0.9909808,0.007639768,0.000002157911,0.00005230998,0.000016059383,0.00034280034],"genre_scores_gemma":[0.0051320563,0.00077942555,0.00025963163,0.96010345,0.03186508,0.00002425693,0.000027599126,0.000031263764,0.0017772765],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9912868,0.0029866186,0.0011172073,0.0014393751,0.0025677136,0.00060225604],"domain_scores_gemma":[0.9316392,0.049129162,0.0032178534,0.0030388634,0.011183283,0.0017916458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014349845,0.000925798,0.001704062,0.0010668138,0.0035466754,0.0039078346,0.0053295884,0.04525536,0.00449598],"category_scores_gemma":[0.088887654,0.00063549826,0.0019027113,0.001183764,0.006335393,0.0052100923,0.0029407148,0.049404886,0.0053577027],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118538876,0.000035422177,0.00076148193,0.00005517556,0.000027946684,0.0003358731,0.00030308324,0.000056134686,0.000108595275,0.0056947763,0.98282325,0.009679753],"study_design_scores_gemma":[0.00027986968,0.00020180838,0.008398132,0.0008515253,0.00018360114,0.0014432851,0.0017806801,0.0012797558,0.0008419688,0.039812542,0.944677,0.00024990237],"about_ca_topic_score_codex":0.014551585,"about_ca_topic_score_gemma":0.015400371,"teacher_disagreement_score":0.04525536,"about_ca_system_score_codex":0.006315801,"about_ca_system_score_gemma":0.004829032,"threshold_uncertainty_score":0.07589018},"labels":[],"label_agreement":null},{"id":"W2068773663","doi":"10.1504/gber.2012.044479","title":"Style matters: investment performance presentation effects on investor preferences","year":2012,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Term (time); Presentation (obstetrics); Investment (military); Style (visual arts); Manager of managers fund; Economics; Investment performance; Investment decisions; Business; Monetary economics; Actuarial science; Finance; Microeconomics; Behavioral economics; Return on investment; Political science","score_opus":0.03773042073688197,"score_gpt":0.2340394129347012,"score_spread":0.19630899219781922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068773663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96546316,0.0009342327,0.0017492273,0.00042448298,0.00031547545,0.000109415574,0.00027609256,0.00007814771,0.030649817],"genre_scores_gemma":[0.99048084,0.00054239813,0.0019304864,0.00047920275,0.00025966993,0.0001044065,0.0002738226,0.00008827801,0.005840858],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99707747,0.0014095313,0.00028643358,0.00035705278,0.0007447782,0.00012478534],"domain_scores_gemma":[0.9580367,0.03039028,0.0057891086,0.0025886386,0.0011544125,0.0020408237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040853526,0.00051032356,0.00073824206,0.00033019806,0.00028263434,0.0025345858,0.00048512136,0.0009496241,0.024179425],"category_scores_gemma":[0.039302982,0.00020057571,0.000532665,0.0004479687,0.00036034692,0.001156187,0.0006187326,0.00093342405,0.002771113],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.042962883,0.008195921,0.3474389,0.0023949633,0.0014843341,0.0017980408,0.0035616443,0.0048356364,0.22056928,0.0050509633,0.008681137,0.3530263],"study_design_scores_gemma":[0.0022343213,0.014427948,0.929539,0.00036752582,0.0010911125,0.0012215197,0.0016836615,0.0084024975,0.017629819,0.010580101,0.012604121,0.0002184359],"about_ca_topic_score_codex":0.00020568748,"about_ca_topic_score_gemma":0.00023107466,"teacher_disagreement_score":0.024179425,"about_ca_system_score_codex":0.00035555082,"about_ca_system_score_gemma":0.00023166278,"threshold_uncertainty_score":0.08088827},"labels":[],"label_agreement":null},{"id":"W2068941672","doi":"10.5430/afr.v2n4p149","title":"Cross-Sectional Returns and Fama-MacBeth Betas for S&amp;P Indices","year":2013,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Econometrics; Economics; Capital asset pricing model; Linear regression; Sorting; Regression analysis; Order (exchange); Statistics; Mathematics; Finance","score_opus":0.11926739215926109,"score_gpt":0.3430595197675199,"score_spread":0.22379212760825884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068941672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738138,0.0009620577,0.011405074,0.000284108,0.00003539238,0.000030381796,0.00237695,0.00018457611,0.010907698],"genre_scores_gemma":[0.9933836,0.0003419352,0.0024443816,0.000040054794,0.00006443401,0.000024392522,0.002487247,0.000033034663,0.0011808437],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991314,0.00018057351,0.00009584774,0.00018099746,0.00030462292,0.00010650484],"domain_scores_gemma":[0.96153563,0.019944808,0.012209179,0.0025394221,0.0027760493,0.000994915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042115822,0.000569439,0.0004655861,0.0049904976,0.00026070766,0.0017665421,0.0005480664,0.0007654283,0.004347411],"category_scores_gemma":[0.04306501,0.00026996466,0.0007465705,0.0043250904,0.00045569477,0.0026456509,0.000603011,0.0011315246,0.0018197056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079956924,0.00008412563,0.96867377,0.00003720063,0.00032066117,0.00026808653,0.00016871747,0.0072763925,0.0006093669,0.0037741868,0.00093296857,0.017774709],"study_design_scores_gemma":[0.00000856294,0.00012561878,0.9664062,0.00002523662,0.000102507016,0.0003540986,0.0001294243,0.027159866,0.0007796434,0.0031557167,0.0017251685,0.000027883822],"about_ca_topic_score_codex":0.0031462514,"about_ca_topic_score_gemma":0.0022205252,"teacher_disagreement_score":0.0049904976,"about_ca_system_score_codex":0.00069904694,"about_ca_system_score_gemma":0.0003563472,"threshold_uncertainty_score":0.022273302},"labels":[],"label_agreement":null},{"id":"W2069015676","doi":"10.1155/2014/912652","title":"Regret Theory and Equilibrium Asset Prices","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"Science Foundation of Ministry of Education of China; China Postdoctoral Science Foundation; Fundamental Research Funds for the Central Universities; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Regret; Economics; Portfolio; Capital asset pricing model; Benchmark (surveying); Econometrics; Asset (computer security); Behavioral economics; Market portfolio; Microeconomics; Financial economics; Computer science","score_opus":0.016378084342018054,"score_gpt":0.1936161189601901,"score_spread":0.17723803461817206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069015676","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.086369894,0.003124271,0.8521943,0.004788742,0.00020499808,0.00006145304,0.0002667821,0.00022099196,0.052768555],"genre_scores_gemma":[0.96166515,0.0019977507,0.0262587,0.0003817202,0.00034992784,0.00012350755,0.00018294012,0.000053615702,0.008986835],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99791056,0.0009150928,0.00008483787,0.0002928734,0.0005115268,0.00028509082],"domain_scores_gemma":[0.99508274,0.00314467,0.0008596136,0.00023982415,0.00050295575,0.00017010944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029809831,0.0009367518,0.0011720826,0.0008640498,0.00065860705,0.0031113636,0.0012663165,0.0019358551,0.0052668396],"category_scores_gemma":[0.012968868,0.00044633728,0.0008458082,0.00094914157,0.0023883304,0.00363921,0.0009134871,0.0019954627,0.00061675935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025461488,0.000030307634,0.0006916538,0.000048804326,0.000044516673,0.000071866445,0.00006655993,0.119550556,0.00026181948,0.87018573,0.0011168781,0.007905853],"study_design_scores_gemma":[0.000014009102,0.000024748191,0.0004215834,0.000017996692,0.000009652292,0.00002872141,0.000023630702,0.21670252,0.00010734644,0.7815679,0.0010656187,0.000016246458],"about_ca_topic_score_codex":0.0022497827,"about_ca_topic_score_gemma":0.001044666,"teacher_disagreement_score":0.0052668396,"about_ca_system_score_codex":0.0021978857,"about_ca_system_score_gemma":0.0012061226,"threshold_uncertainty_score":0.017619371},"labels":[],"label_agreement":null},{"id":"W2069169434","doi":"10.5539/ibr.v8n1p1","title":"The Interaction between Market Sentiments in the U.S. Financial Market and Global Equity Market","year":2014,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Granger causality; Volatility (finance); Financial economics; Index (typography); Financial market; Economics; Pessimism; Market sentiment; Business; Econometrics; Finance","score_opus":0.08103741712316939,"score_gpt":0.35110836219014685,"score_spread":0.2700709450669775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069169434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995497,0.0001574308,0.00013603558,0.00020054316,0.000013481645,0.0000035451599,0.0003691453,0.000007015315,0.0036157756],"genre_scores_gemma":[0.9994948,0.00006783026,0.0000414678,0.000021079672,0.000010137922,0.0000013244232,0.0001905995,0.0000015467517,0.00017119512],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978596,0.000058433336,0.00001878635,0.000029149192,0.000053955333,0.000053641186],"domain_scores_gemma":[0.9966048,0.0009758463,0.0016185123,0.00008484685,0.0003799422,0.00033607177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052033644,0.0001674283,0.00016975695,0.0010066997,0.00020986288,0.00088568835,0.00007852388,0.00022414158,0.0018023598],"category_scores_gemma":[0.003550796,0.00008010481,0.00020220673,0.0014840743,0.0002671334,0.0004678457,0.00036283024,0.0004083515,0.00024919925],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036198413,0.000027172835,0.9928508,0.000009088601,0.00006337522,0.000072856485,0.00010508987,0.00035997215,0.00042724214,0.0005566955,0.00066828594,0.004823253],"study_design_scores_gemma":[0.0000013245804,0.000022198768,0.99834335,0.00000424173,0.000016731727,0.000027492952,0.00013525267,0.0007244351,0.00011286814,0.00018862296,0.00042028088,0.0000033077877],"about_ca_topic_score_codex":0.007402583,"about_ca_topic_score_gemma":0.016776867,"teacher_disagreement_score":0.007402583,"about_ca_system_score_codex":0.00040020072,"about_ca_system_score_gemma":0.0002326236,"threshold_uncertainty_score":0.01471895},"labels":[],"label_agreement":null},{"id":"W2069715568","doi":"10.2139/ssrn.363040","title":"Conference Calls and Information Asymmetry","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Information asymmetry; Asymmetry; Business; Data science; Political science; Computer science; Physics","score_opus":0.011973264764943158,"score_gpt":0.1892489771340297,"score_spread":0.17727571236908654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069715568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6193861,0.0061207768,0.018525325,0.028011963,0.00067926693,0.00010878039,0.0013177318,0.00039024174,0.32545972],"genre_scores_gemma":[0.9933431,0.00043900713,0.0003030104,0.0004925108,0.0003170444,0.000019751054,0.00010107001,0.000024563993,0.004959944],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9969144,0.0013863273,0.00014873965,0.0002839102,0.00056828925,0.00069823954],"domain_scores_gemma":[0.9030659,0.07068165,0.013050176,0.005439583,0.003292868,0.0044697453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004958778,0.00023195343,0.0006436488,0.001583121,0.0012010415,0.0058383197,0.0008419653,0.0032817693,0.04032466],"category_scores_gemma":[0.07345085,0.00036221193,0.0003902534,0.0017668566,0.0012594596,0.005536679,0.0014869855,0.0029088613,0.0027806303],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041929614,0.00071796455,0.043617595,0.00029013676,0.00017594662,0.0012643958,0.0031346397,0.00770968,0.0022982906,0.7168813,0.06716036,0.15255676],"study_design_scores_gemma":[0.0005567149,0.0002820296,0.042121872,0.00014326078,0.00021014658,0.0017783093,0.003635264,0.019710323,0.001250639,0.89672905,0.033436123,0.00014631223],"about_ca_topic_score_codex":0.0010712255,"about_ca_topic_score_gemma":0.0007383962,"teacher_disagreement_score":0.04032466,"about_ca_system_score_codex":0.001266956,"about_ca_system_score_gemma":0.0008158917,"threshold_uncertainty_score":0.13489944},"labels":[],"label_agreement":null},{"id":"W2069743109","doi":"10.12735/jfe.v1i1p01","title":"Has Stock Market Efficiency Improved? Evidence from China","year":2013,"lang":"en","type":"article","venue":"Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Stock market; Stock exchange; China; Economics; Capital market; Stock market bubble; Econometrics; Financial economics; Business; Monetary economics; Finance; Geography","score_opus":0.03207410707455358,"score_gpt":0.20797213093079323,"score_spread":0.17589802385623965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069743109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99208814,0.0025379702,0.00007108914,0.0011265151,0.000013863171,0.000012942814,0.0005263051,0.0000074024115,0.0036158157],"genre_scores_gemma":[0.9981817,0.00079046475,0.000027914992,0.00019316604,0.00003896771,0.0000025116808,0.0004326743,0.0000022358959,0.00033043016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891067,0.00021231259,0.00016305374,0.00022818973,0.00027166153,0.00021415498],"domain_scores_gemma":[0.98927385,0.0021015226,0.004674117,0.0011292188,0.0020821872,0.0007391063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033127202,0.00037333285,0.00047773906,0.0025038882,0.00043574645,0.0013939369,0.00074436195,0.0006268426,0.00359314],"category_scores_gemma":[0.007633359,0.00026363012,0.00051837834,0.0030399442,0.0015028457,0.0010509813,0.0008169354,0.0004806939,0.00029628346],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014618986,0.000035445286,0.9856005,0.000085539345,0.00018426964,0.0003517106,0.00045789583,0.0001788769,0.00023031069,0.00055017264,0.0006520685,0.011527099],"study_design_scores_gemma":[0.000008917407,0.000021707576,0.9988668,0.000010890507,0.00003807949,0.000048290425,0.0001121535,0.00012863429,0.00008279395,0.00006307227,0.0006148738,0.0000038184276],"about_ca_topic_score_codex":0.061685607,"about_ca_topic_score_gemma":0.047345057,"teacher_disagreement_score":0.061685607,"about_ca_system_score_codex":0.001679315,"about_ca_system_score_gemma":0.0015128253,"threshold_uncertainty_score":0.12265313},"labels":[],"label_agreement":null},{"id":"W2069746716","doi":"10.1016/j.qref.2004.11.001","title":"Does conditional market skewness resolve the puzzling market risk-return relationship?","year":2005,"lang":"en","type":"article","venue":"The Quarterly Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Memorial University of Newfoundland","funders":"Université Laval","keywords":"Skewness; Economics; Econometrics; Conditional variance; Contrast (vision); Capital asset pricing model; Variance (accounting); Financial economics; Autoregressive conditional heteroskedasticity; Volatility (finance)","score_opus":0.01905498881997686,"score_gpt":0.21719679789126486,"score_spread":0.198141809071288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069746716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7087592,0.03158155,0.15740833,0.07903405,0.0025302307,0.0000383784,0.0010494402,0.0011235375,0.018475197],"genre_scores_gemma":[0.9876732,0.0038819546,0.0023564398,0.0024680407,0.0024403299,0.000008494528,0.0001746609,0.0001083136,0.0008886324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992668,0.00023551834,0.000076739205,0.00016079115,0.0001436839,0.00011645801],"domain_scores_gemma":[0.96208215,0.023068551,0.008758645,0.003537264,0.0016740591,0.000879326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063377293,0.00043055566,0.0017665791,0.001302395,0.000479374,0.003397074,0.0015704661,0.0023623842,0.0059513003],"category_scores_gemma":[0.06792261,0.000560652,0.0005953546,0.0015051594,0.0023414264,0.011778726,0.0017792197,0.0034839704,0.0010413809],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010063356,0.00035073512,0.12356579,0.00075328076,0.0011603714,0.0017772351,0.0006768212,0.010564889,0.004078762,0.66517806,0.023486082,0.16740164],"study_design_scores_gemma":[0.00010047332,0.00005290186,0.028819246,0.00007333959,0.00013332607,0.00058536,0.00023583946,0.025564246,0.00058880216,0.94065976,0.0031262266,0.000060504786],"about_ca_topic_score_codex":0.0006859678,"about_ca_topic_score_gemma":0.0005631805,"teacher_disagreement_score":0.0063377293,"about_ca_system_score_codex":0.00034720098,"about_ca_system_score_gemma":0.00066576485,"threshold_uncertainty_score":0.03351754},"labels":[],"label_agreement":null},{"id":"W2070009787","doi":"10.1080/00014788.2004.9729975","title":"Implied Cost of Equity Capital in Earnings-Based Valuation: International Evidence","year":2004,"lang":"en","type":"article","venue":"London School of Economics and Political Science Theses Online (London School of Economics and Political Science)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Residual income valuation; Economics; Valuation (finance); Earnings; Equity (law); Cost of capital; Financial economics; Earnings growth; Book value; Cost of equity; Equity capital markets; Econometrics; Microeconomics; Finance","score_opus":0.0714348515827202,"score_gpt":0.32267198205052416,"score_spread":0.25123713046780394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070009787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9525226,0.0067723044,0.016605427,0.0011935788,0.00005057959,0.000039223334,0.0010160069,0.00004422878,0.02175622],"genre_scores_gemma":[0.9966582,0.0011271896,0.0014052197,0.000045093515,0.00003897553,0.000004983247,0.0004819206,0.000012688304,0.00022565453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99577004,0.0014501642,0.00041335513,0.00073822547,0.0014410956,0.00018718466],"domain_scores_gemma":[0.8234256,0.099765375,0.039640564,0.025007496,0.011574502,0.00058647466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010655221,0.00044592287,0.00049949123,0.0021729274,0.00029621567,0.0029532306,0.0013796734,0.0009299997,0.0023575367],"category_scores_gemma":[0.10470227,0.0003394236,0.00059147406,0.0032870625,0.0030328166,0.005769134,0.0018509675,0.0013006582,0.00041477312],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014419274,0.00021491693,0.66716605,0.0006367554,0.0007684216,0.00030862328,0.0015887967,0.04157948,0.00078245497,0.14497527,0.0023840826,0.13815315],"study_design_scores_gemma":[0.00011345753,0.00053156476,0.7943981,0.00074998004,0.0004593352,0.0011785846,0.0011134093,0.06783947,0.0054223216,0.11942843,0.008548667,0.00021667208],"about_ca_topic_score_codex":0.0043009967,"about_ca_topic_score_gemma":0.0017024485,"teacher_disagreement_score":0.010655221,"about_ca_system_score_codex":0.0012785456,"about_ca_system_score_gemma":0.00027913004,"threshold_uncertainty_score":0.056350887},"labels":[],"label_agreement":null},{"id":"W2070195577","doi":"10.2139/ssrn.570721","title":"Risk and Ex Ante Cost of Equity Estimates of Emerging Market Firms","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Ex-ante; Equity (law); Business; Financial economics; Cost of equity; Economics; Monetary economics; Cost of capital; Microeconomics; Macroeconomics","score_opus":0.015898321829734517,"score_gpt":0.23808051386014914,"score_spread":0.22218219203041462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070195577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701583,0.00020966768,0.0015627743,0.00017126535,0.0000050134786,0.000004201305,0.00026342995,0.000010235819,0.00075759855],"genre_scores_gemma":[0.9990808,0.00006459364,0.00023506994,0.000007903275,0.000011044811,0.0000013927393,0.00024629553,0.000003000655,0.00034973718],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946195,0.00018117152,0.00006003972,0.000084896536,0.00013780226,0.000074117735],"domain_scores_gemma":[0.9687451,0.022049217,0.004984361,0.0017642846,0.001958908,0.00049801386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003242824,0.00031484713,0.0003697856,0.0010817616,0.00026261387,0.0014914712,0.0006927579,0.0008748802,0.0016602024],"category_scores_gemma":[0.02639303,0.0002895134,0.00036602488,0.00071122864,0.00044259866,0.0018907584,0.00069441594,0.00091274636,0.00018615492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001526311,0.0002173549,0.78238374,0.00007018012,0.00042568444,0.00041849806,0.00044901544,0.1666307,0.0021703911,0.020085882,0.0016764926,0.023945762],"study_design_scores_gemma":[0.000050258477,0.0003405191,0.67902523,0.000040912648,0.00016188242,0.00039379016,0.00045941042,0.29108143,0.0044160676,0.02278469,0.001163541,0.00008222161],"about_ca_topic_score_codex":0.0038679282,"about_ca_topic_score_gemma":0.0041586384,"teacher_disagreement_score":0.0038679282,"about_ca_system_score_codex":0.00091126654,"about_ca_system_score_gemma":0.00023300097,"threshold_uncertainty_score":0.017149866},"labels":[],"label_agreement":null},{"id":"W2070783162","doi":"10.2139/ssrn.743444","title":"Multifrequency News and Stock Returns","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stock (firearms); Business; Economics; Financial economics; Financial system; Geography","score_opus":0.017633068448763684,"score_gpt":0.2132449247676658,"score_spread":0.1956118563189021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070783162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99234515,0.002577489,0.00082777947,0.00084007246,0.000042651092,0.0000032059108,0.00014025424,0.000017720424,0.0032056577],"genre_scores_gemma":[0.9976966,0.0007794318,0.00011843757,0.00003731897,0.00017943059,0.00000124097,0.000063913125,0.0000039503293,0.001119656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998338,0.000053107447,0.000014403063,0.000022564056,0.00004147376,0.00003462973],"domain_scores_gemma":[0.98332995,0.011340427,0.0040584337,0.00040987434,0.00031220008,0.000549055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080126314,0.000221842,0.0003003548,0.0012360605,0.00021354521,0.0020469597,0.00018234541,0.0010492787,0.006252626],"category_scores_gemma":[0.013967304,0.00021595498,0.00025112956,0.0013559802,0.00033119938,0.0015593234,0.00044305922,0.0007274949,0.00057409983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034321912,0.0007475407,0.8236923,0.00022874642,0.000650614,0.0033608656,0.0011564844,0.013567443,0.008325751,0.02904923,0.0033388291,0.112449884],"study_design_scores_gemma":[0.000100094505,0.00029477518,0.9593975,0.00004342373,0.00025004626,0.0009013748,0.00043043896,0.016261304,0.000525682,0.020335754,0.0014237163,0.000035904664],"about_ca_topic_score_codex":0.0017988177,"about_ca_topic_score_gemma":0.0018770519,"teacher_disagreement_score":0.006252626,"about_ca_system_score_codex":0.00032124325,"about_ca_system_score_gemma":0.00008876278,"threshold_uncertainty_score":0.020917058},"labels":[],"label_agreement":null},{"id":"W2070935805","doi":"10.1007/s11156-005-4769-z","title":"Pursuing Value Through Liquidity in IPOs: Underpricing, Share Retention, Lockup, and Trading Volume Relationships","year":2005,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Initial public offering; Market liquidity; Business; Monetary economics; Ceteris paribus; Financial system; Finance; Economics; Microeconomics","score_opus":0.09621836663715144,"score_gpt":0.2872274083821996,"score_spread":0.19100904174504818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070935805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88099545,0.06542868,0.014265885,0.012750064,0.00014283718,0.000028342905,0.00021192388,0.000051894964,0.026124846],"genre_scores_gemma":[0.9876508,0.009403808,0.00072023633,0.00017979568,0.00047478534,0.000006102937,0.00002957365,0.0000049824403,0.0015298622],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995259,0.00015850979,0.000036938498,0.0000652973,0.00015056103,0.00006269659],"domain_scores_gemma":[0.98889166,0.00521825,0.0044934633,0.00023389308,0.0007796942,0.00038306278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013738823,0.00036520805,0.00038334113,0.0009914497,0.0003847899,0.004431524,0.00056798826,0.0015336849,0.0020545607],"category_scores_gemma":[0.012102027,0.00016382718,0.00023283996,0.0016243499,0.0018969967,0.00655973,0.0010697121,0.001501807,0.00019321319],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093814655,0.0006276462,0.31060424,0.0014569475,0.00048936834,0.0018102011,0.0026849245,0.019791257,0.0072911014,0.24046823,0.00849952,0.4053385],"study_design_scores_gemma":[0.00007976709,0.0005157884,0.17490952,0.0006498289,0.00036365463,0.0011410444,0.0023311737,0.038903065,0.0044333884,0.7638991,0.012659955,0.00011384221],"about_ca_topic_score_codex":0.00067018764,"about_ca_topic_score_gemma":0.00080859545,"teacher_disagreement_score":0.004431524,"about_ca_system_score_codex":0.0005540082,"about_ca_system_score_gemma":0.0004933543,"threshold_uncertainty_score":0.0072659254},"labels":[],"label_agreement":null},{"id":"W2071053046","doi":"10.5539/ijef.v7n2p203","title":"Liquidity Commonality in an Emerging Market: Evidence from the Amman Stock Exchange","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Funding liquidity; Liquidity crisis; Stock exchange; Market impact; Liquidity risk; Stock market crash; Business; Market microstructure; Market maker; Monetary economics; Emerging markets; Financial crisis; Capital market; Economics; Stock market; Order (exchange); Financial economics; Finance; Geography; Macroeconomics","score_opus":0.13193412762133194,"score_gpt":0.28746892390543266,"score_spread":0.15553479628410072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071053046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984515,0.0003996678,0.000052288742,0.00018349239,0.0000047750696,0.0000051315424,0.00022355728,0.0000021538224,0.00067734614],"genre_scores_gemma":[0.99898297,0.00032422497,0.00003760446,0.0000322267,0.00003852439,0.000003311467,0.0004968323,0.0000013114272,0.00008295897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991242,0.00023245,0.00014624982,0.00014520003,0.00023630586,0.000115576455],"domain_scores_gemma":[0.9838774,0.003043087,0.010344822,0.0007600748,0.0010546184,0.0009198884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018586498,0.0002418131,0.00038232433,0.0030385167,0.00055951223,0.0015431135,0.00053721335,0.000564805,0.0016654514],"category_scores_gemma":[0.0073384484,0.00018118093,0.0004166446,0.002863841,0.00078353356,0.0019862338,0.0015764807,0.00071696175,0.00025734506],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023763075,0.00011177997,0.9925311,0.000025552903,0.0001765378,0.00024155021,0.0005262467,0.00016209987,0.00022092788,0.00044392305,0.0004255902,0.0048969113],"study_design_scores_gemma":[0.000014969666,0.000059778075,0.99790895,0.000014840484,0.000041519754,0.00012691095,0.00065872754,0.00050300924,0.00010442476,0.00018106881,0.0003772082,0.000008634924],"about_ca_topic_score_codex":0.0055209333,"about_ca_topic_score_gemma":0.006482324,"teacher_disagreement_score":0.0055209333,"about_ca_system_score_codex":0.0003824804,"about_ca_system_score_gemma":0.00028692654,"threshold_uncertainty_score":0.010977626},"labels":[],"label_agreement":null},{"id":"W2071386202","doi":"10.1002/cjas.29","title":"The investment nature of income trusts and their role in diversified portfolios","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bond; Fixed income; Stock (firearms); Portfolio; Economics; Financial economics; Asset allocation; Excess return; Monetary economics; Business; Econometrics; Finance","score_opus":0.05421162834942139,"score_gpt":0.2648733762297941,"score_spread":0.21066174788037273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071386202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973884,0.000050063376,0.0008499289,0.00006464826,0.0000011996345,0.000006395187,0.000019459862,0.0000028832378,0.0016170623],"genre_scores_gemma":[0.9996228,0.00001485931,0.00011716479,0.0000028094257,0.0000014980917,0.0000013596888,0.000012113713,5.4568693e-7,0.00022678767],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990657,0.00031336313,0.000087470085,0.000097270255,0.00021972744,0.00021658883],"domain_scores_gemma":[0.9768047,0.0067349556,0.011396501,0.0014662796,0.0014024775,0.002195111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025465132,0.00013089943,0.00032071784,0.0010745401,0.0004683859,0.002733806,0.00031628128,0.00045139543,0.003419638],"category_scores_gemma":[0.021458518,0.00014663122,0.00015560459,0.00080838864,0.0009236716,0.0017370154,0.0013483654,0.0004941254,0.0003412874],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026714284,0.00019834186,0.9468894,0.000017322045,0.00007603622,0.00040493545,0.001084623,0.003301092,0.0013511115,0.011164144,0.00023215063,0.03501364],"study_design_scores_gemma":[0.000019898325,0.00035401544,0.95780975,0.00002880554,0.000051863968,0.00058731565,0.0021593939,0.020503534,0.0010225924,0.01593125,0.0014971036,0.000034543547],"about_ca_topic_score_codex":0.0013717473,"about_ca_topic_score_gemma":0.001727129,"teacher_disagreement_score":0.003419638,"about_ca_system_score_codex":0.0009305723,"about_ca_system_score_gemma":0.00024933665,"threshold_uncertainty_score":0.013467431},"labels":[],"label_agreement":null},{"id":"W2071418161","doi":"10.1016/j.pacfin.2003.06.002","title":"Information asymmetry and estimation risk: Preliminary evidence from Chinese equity markets","year":2003,"lang":"en","type":"article","venue":"Pacific-Basin Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Imperial Bank of Commerce (Canada)","funders":"National University of Singapore","keywords":"Information asymmetry; Business; Equity (law); Factor analysis of information risk; Certification; Voluntary disclosure; Audit; Private information retrieval; Capital asset pricing model; Accounting; Financial economics; Actuarial science; Economics; Finance; Information system; Risk management information systems","score_opus":0.02190315591921776,"score_gpt":0.23946646509477693,"score_spread":0.21756330917555916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071418161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963322,0.00058527704,0.00054193864,0.00036650384,0.000003862484,0.000011483597,0.000087027685,0.0000038077399,0.00206784],"genre_scores_gemma":[0.99943084,0.00022342577,0.00008326015,0.000029092856,0.000015801576,0.0000025639401,0.000067671564,0.0000014738839,0.00014577815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990578,0.00028827638,0.0001038186,0.00013234858,0.00026680643,0.00015088872],"domain_scores_gemma":[0.94073147,0.043662135,0.009629928,0.0028047482,0.0022070303,0.0009647793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005034286,0.00031466468,0.00052802195,0.0015548348,0.0007373987,0.0017156816,0.0006002228,0.0007807788,0.0055450397],"category_scores_gemma":[0.032845158,0.00036480025,0.0004471443,0.0013305303,0.0020177048,0.0030589288,0.00092273345,0.0009407099,0.0002531332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002404834,0.0004358607,0.93504816,0.00016641268,0.00038386718,0.00083128054,0.0032003946,0.0029213119,0.0022354918,0.013559068,0.0008046543,0.03800851],"study_design_scores_gemma":[0.00019776906,0.00028397815,0.96990025,0.000037290596,0.0005934166,0.00042049895,0.0015781581,0.009270058,0.0016827941,0.015084268,0.00089380576,0.0000578546],"about_ca_topic_score_codex":0.0143271955,"about_ca_topic_score_gemma":0.008508426,"teacher_disagreement_score":0.0143271955,"about_ca_system_score_codex":0.00083025906,"about_ca_system_score_gemma":0.0008034203,"threshold_uncertainty_score":0.028487623},"labels":[],"label_agreement":null},{"id":"W2071520903","doi":"10.1007/s10551-013-1657-7","title":"The Impact of Fraudulent False Information on Equity Values","year":2013,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Alberta; Concordia University","funders":"","keywords":"Insider trading; Private information retrieval; Insider; Equity (law); Stock (firearms); Business; Financial economics; Economics; Business ethics; Market manipulation; Actuarial science; Finance; Computer security; Computer science; Political science; Law","score_opus":0.09995002046203844,"score_gpt":0.3019719233499818,"score_spread":0.20202190288794336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071520903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9263154,0.0015570169,0.00582364,0.024360646,0.00022245319,0.00005613287,0.000322706,0.00006145742,0.041280456],"genre_scores_gemma":[0.99847215,0.0001676106,0.0003236345,0.00041518596,0.00007143185,0.000005854309,0.000019538647,0.000008131843,0.0005164738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9827659,0.010996901,0.00072316756,0.00076046283,0.0035997084,0.0011537948],"domain_scores_gemma":[0.45618683,0.4608937,0.040748693,0.0210948,0.01760126,0.00347473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018374426,0.00033645282,0.0005993773,0.0020928641,0.0015070747,0.005595327,0.0010707108,0.0040261955,0.00946928],"category_scores_gemma":[0.33299,0.000536261,0.0004447558,0.0015250862,0.004702932,0.0056021204,0.0022740955,0.005222258,0.0006760146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051032067,0.0023206982,0.40635094,0.0004029878,0.00059210684,0.0048098457,0.0076186294,0.023338797,0.0026672175,0.35296744,0.022872448,0.17095564],"study_design_scores_gemma":[0.00041287264,0.0007128118,0.17121613,0.0005236489,0.0005796805,0.003496784,0.0067290682,0.091169916,0.0052168956,0.7100837,0.009661586,0.00019697004],"about_ca_topic_score_codex":0.002789889,"about_ca_topic_score_gemma":0.0018495586,"teacher_disagreement_score":0.018374426,"about_ca_system_score_codex":0.0024460498,"about_ca_system_score_gemma":0.001963094,"threshold_uncertainty_score":0.097174406},"labels":[],"label_agreement":null},{"id":"W2071924534","doi":"10.1093/rfs/hhn013","title":"Strategic Disclosure and Stock Returns: Theory and Evidence from US Cross-Listing","year":2008,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cross listing; Discretion; Stock (firearms); Business; Monetary economics; Financial economics; Cash; Listing (finance); Economics; Accounting; Finance; Corporate governance","score_opus":0.1284917118374569,"score_gpt":0.3109970793205202,"score_spread":0.18250536748306329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071924534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747601,0.017483395,0.0014307937,0.0015228069,0.000015035025,0.00001579605,0.0003678314,0.00001601797,0.004388217],"genre_scores_gemma":[0.99245465,0.0066412045,0.0002573745,0.00013960272,0.000042705495,0.0000042951397,0.0002293629,0.0000015635596,0.00022913225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951494,0.00020759825,0.000054151464,0.000076463315,0.00010444808,0.000042407446],"domain_scores_gemma":[0.9769896,0.010804665,0.010103927,0.0006166657,0.0011285787,0.00035655135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022460192,0.00027052892,0.0002698777,0.0012019961,0.0002489454,0.0016140137,0.0003321315,0.00078464916,0.0016505623],"category_scores_gemma":[0.011185006,0.00017191937,0.00028523823,0.0024665582,0.0006056282,0.0013180897,0.0005429698,0.0005574899,0.00022553782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018260335,0.00018812709,0.94443834,0.00018518501,0.00026436197,0.00020703455,0.0004788958,0.003054143,0.00025695196,0.0050052027,0.0010081633,0.04473093],"study_design_scores_gemma":[0.000039332743,0.00021858036,0.9722535,0.00014592662,0.00033373354,0.00028352515,0.00078518654,0.010156914,0.00070659275,0.0122576235,0.002791126,0.00002791014],"about_ca_topic_score_codex":0.0066474704,"about_ca_topic_score_gemma":0.006681796,"teacher_disagreement_score":0.0066474704,"about_ca_system_score_codex":0.000531146,"about_ca_system_score_gemma":0.000271234,"threshold_uncertainty_score":0.013217568},"labels":[],"label_agreement":null},{"id":"W2072222588","doi":"10.1111/j.1936-4490.2000.tb00226.x","title":"Can We Detect Market Timing Ability Using An Option Model?","year":2000,"lang":"fr","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Humanities; Market efficiency; Vision; Profit (economics); Economics; Financial economics; Philosophy; Microeconomics; Theology","score_opus":0.1684347935096378,"score_gpt":0.30333540872297415,"score_spread":0.13490061521333635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072222588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.888984,0.00032555364,0.10194062,0.0017061996,0.00006474648,0.00009660131,0.00068670034,0.00034487073,0.005850699],"genre_scores_gemma":[0.99372226,0.00005377446,0.00512366,0.000075582524,0.000029073291,0.000026995413,0.00016395257,0.000013464299,0.0007911431],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99670607,0.001646491,0.0002323279,0.00047726158,0.0005235385,0.00041438933],"domain_scores_gemma":[0.9349443,0.04925077,0.0095085455,0.0030647262,0.0014131411,0.0018185058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011282355,0.0009537048,0.0014856842,0.00283387,0.00040464677,0.0046331673,0.0018352021,0.00310733,0.0084280465],"category_scores_gemma":[0.091786824,0.0005641956,0.0010668886,0.0020675017,0.00165078,0.0062278286,0.0019188939,0.0018860662,0.00091907143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002174827,0.00095930835,0.5587025,0.00025714652,0.0009181911,0.0009816297,0.00052328303,0.27195206,0.0052670813,0.08420825,0.0019516613,0.072104],"study_design_scores_gemma":[0.00005446659,0.00026709458,0.03514056,0.000022812099,0.00006436084,0.00023042678,0.00010658123,0.8974254,0.0009305894,0.06528415,0.0004098156,0.00006365555],"about_ca_topic_score_codex":0.004757105,"about_ca_topic_score_gemma":0.0022771247,"teacher_disagreement_score":0.011282355,"about_ca_system_score_codex":0.000900101,"about_ca_system_score_gemma":0.00074097473,"threshold_uncertainty_score":0.059667528},"labels":[],"label_agreement":null},{"id":"W2072281546","doi":"10.1016/j.intfin.2010.03.001","title":"Order aggressiveness and quantity: How are they determined in a limit order market?","year":2010,"lang":"en","type":"article","venue":"Journal of International Financial Markets Institutions and Money","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Bank of Canada","funders":"","keywords":"Order (exchange); Ordered probit; Market liquidity; Limit (mathematics); Currency; Probit model; Econometrics; Economics; Cluster analysis; Information asymmetry; Foreign exchange; Order book; Foreign exchange market; Microeconomics; Financial economics; Mathematics; Statistics; Monetary economics","score_opus":0.025302303855825773,"score_gpt":0.24010044642053335,"score_spread":0.21479814256470758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072281546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95235234,0.00052904995,0.026906574,0.0022738723,0.000075347314,0.000039704035,0.00010947716,0.00011971242,0.017593801],"genre_scores_gemma":[0.996479,0.0001281133,0.0012608661,0.00007116916,0.000083160354,0.000012629214,0.000030352652,0.000031159092,0.0019036022],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99844307,0.00050712074,0.00011365977,0.00025378377,0.00039715637,0.00028519315],"domain_scores_gemma":[0.9561484,0.024302188,0.0100875655,0.0020782896,0.0025789093,0.004804552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004068501,0.00041633472,0.0016280705,0.0012653207,0.0010024284,0.007832298,0.001340978,0.0020808082,0.0111986],"category_scores_gemma":[0.043204006,0.00083638163,0.0006246486,0.0010152318,0.005076402,0.0136962915,0.0014802832,0.0021722813,0.0009912763],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015971125,0.0009072206,0.07057913,0.0002009618,0.00023219362,0.0005867956,0.0024896385,0.028822964,0.0065056197,0.855933,0.0026706317,0.029474733],"study_design_scores_gemma":[0.00025939185,0.00031051371,0.047122765,0.00003244447,0.00010558446,0.00023510362,0.0009494282,0.075022794,0.00085684285,0.87373316,0.0012360078,0.0001360303],"about_ca_topic_score_codex":0.0028202704,"about_ca_topic_score_gemma":0.001952467,"teacher_disagreement_score":0.0111986,"about_ca_system_score_codex":0.0011522586,"about_ca_system_score_gemma":0.0010234334,"threshold_uncertainty_score":0.03746307},"labels":[],"label_agreement":null},{"id":"W2072786080","doi":"10.3905/joi.2003.319534","title":"Are Good Companies Bad Investments?","year":2003,"lang":"en","type":"article","venue":"The Journal of Investing","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decile; Attractiveness; Investment (military); Momentum (technical analysis); Portfolio; Quarter (Canadian coin); Abnormal return; Economics; Business; Monetary economics; Financial economics; Demographic economics; Finance; Statistics; Geography; Mathematics","score_opus":0.0646208626840283,"score_gpt":0.22869573283804084,"score_spread":0.16407487015401256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072786080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6962231,0.0168299,0.0020602355,0.17148986,0.001247137,0.000066908186,0.0010762374,0.00008563811,0.110921],"genre_scores_gemma":[0.97979754,0.0028764454,0.00022107064,0.009994609,0.00055438676,0.000015389514,0.00019090169,0.000016717288,0.006333071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972203,0.0007415461,0.00013408407,0.00038723173,0.0008704165,0.00064648123],"domain_scores_gemma":[0.9768812,0.0059857457,0.0100725405,0.0014778582,0.0028491556,0.0027334604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033143107,0.00025600058,0.0005946165,0.0019856545,0.0016100798,0.0062283925,0.0005066475,0.0026059886,0.0097353915],"category_scores_gemma":[0.021298341,0.00025055677,0.00020088346,0.002145052,0.0058152573,0.005682759,0.0011539618,0.001919124,0.0014352594],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006054181,0.00029896363,0.6053631,0.00041499647,0.00037600138,0.0009806417,0.005483714,0.00040426577,0.0011103075,0.11032723,0.07514003,0.19949542],"study_design_scores_gemma":[0.00011252119,0.00033941114,0.5868408,0.0006448163,0.0002947337,0.0018347965,0.023019074,0.00085727137,0.0015770394,0.1813156,0.2030407,0.00012306066],"about_ca_topic_score_codex":0.003006286,"about_ca_topic_score_gemma":0.00451018,"teacher_disagreement_score":0.0097353915,"about_ca_system_score_codex":0.0017006326,"about_ca_system_score_gemma":0.0010652173,"threshold_uncertainty_score":0.032568157},"labels":[],"label_agreement":null},{"id":"W2073028589","doi":"10.1016/j.jbankfin.2015.03.018","title":"Can behavioral biases explain the rejections of the expectation hypothesis of the term structure of interest rates?","year":2015,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Economic and Social Research Council; University of Exeter; University of Essex","keywords":"Conservatism; Economics; Econometrics; Term (time); Efficient-market hypothesis; Interest rate; Monetary economics","score_opus":0.13132169774953448,"score_gpt":0.2669924589990983,"score_spread":0.13567076124956381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073028589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737464,0.00026342447,0.0052587437,0.0057803364,0.00017224127,0.000046434878,0.0002692962,0.00004321409,0.014419914],"genre_scores_gemma":[0.99750704,0.00011229012,0.0005438653,0.0011500652,0.00009834046,0.000015761312,0.000113956994,0.000020794854,0.0004379046],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959596,0.0019335618,0.0003211987,0.0005816767,0.00072938774,0.00047467597],"domain_scores_gemma":[0.8007549,0.13776658,0.031952072,0.021103075,0.005983126,0.0024403285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021505859,0.00031146244,0.00070092414,0.00078256323,0.0005095175,0.0023841236,0.0012425581,0.00240498,0.008629426],"category_scores_gemma":[0.1823243,0.00034301408,0.000677578,0.0007601489,0.0021810357,0.002252459,0.0008636601,0.002375556,0.0011061935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00316285,0.0010674354,0.85298514,0.00026859375,0.0011841909,0.0006197797,0.004238131,0.002606808,0.006286051,0.05751289,0.0037819354,0.06628622],"study_design_scores_gemma":[0.00045968016,0.00051722035,0.86765665,0.00011237147,0.00042552044,0.000567586,0.0028217214,0.016512414,0.002626603,0.10362717,0.004574957,0.00009803579],"about_ca_topic_score_codex":0.0027371282,"about_ca_topic_score_gemma":0.0025629152,"teacher_disagreement_score":0.021505859,"about_ca_system_score_codex":0.0005346439,"about_ca_system_score_gemma":0.00084242603,"threshold_uncertainty_score":0.11373526},"labels":[],"label_agreement":null},{"id":"W2074194488","doi":"10.1016/j.jempfin.2010.03.001","title":"Asset-pricing anomalies and spanning: Multivariate and multifactor tests with heavy-tailed distributions","year":2010,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; McGill University; Université Laval","funders":"","keywords":"Multivariate statistics; Capital asset pricing model; Econometrics; Economics; Financial economics; Statistics; Mathematics","score_opus":0.03793084456607084,"score_gpt":0.2771867330582461,"score_spread":0.23925588849217524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074194488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92202276,0.00040564506,0.07575178,0.00037544742,0.000063752595,0.000034292512,0.00030109784,0.0002842075,0.0007610852],"genre_scores_gemma":[0.98974204,0.00015174008,0.009009185,0.00004853675,0.00016620928,0.000025098492,0.00040961444,0.000048107348,0.00039938404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9782827,0.014143112,0.0012137414,0.0033569713,0.0016939039,0.0013095274],"domain_scores_gemma":[0.496015,0.45302013,0.02292639,0.019320847,0.004053475,0.0046640616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.055023815,0.001387255,0.0031827257,0.0045266156,0.0012790882,0.003226888,0.003994613,0.0035392414,0.0051886546],"category_scores_gemma":[0.21882154,0.00083222456,0.0028046682,0.004263916,0.0046398877,0.009296665,0.0034206796,0.0035387923,0.00042864113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006751553,0.0014751685,0.5132769,0.0003371888,0.0038686714,0.0027161704,0.0024896436,0.15398976,0.0040440094,0.1542088,0.003890137,0.15295205],"study_design_scores_gemma":[0.00040561275,0.0010657045,0.108062245,0.000061829516,0.00064993236,0.0010652188,0.0007221333,0.74459046,0.001227736,0.14125992,0.00069823524,0.00019105316],"about_ca_topic_score_codex":0.0028733434,"about_ca_topic_score_gemma":0.0018715924,"teacher_disagreement_score":0.055023815,"about_ca_system_score_codex":0.00089177524,"about_ca_system_score_gemma":0.001343774,"threshold_uncertainty_score":0.29099727},"labels":[],"label_agreement":null},{"id":"W2074259051","doi":"10.1016/j.jbankfin.2010.04.007","title":"Index composition changes and the cost of incumbency","year":2010,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Universität Wien","keywords":"Index (typography); Momentum (technical analysis); Portfolio; Economics; Composition (language); Econometrics; Monetary economics; Financial economics","score_opus":0.016221232958993928,"score_gpt":0.21245954317941393,"score_spread":0.19623831022042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074259051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857793,0.00023742294,0.0006160632,0.00027194934,0.000022713626,0.0000075473936,0.00029416598,0.000027287406,0.01274359],"genre_scores_gemma":[0.9982242,0.000042960397,0.00011419826,0.000020279687,0.000022800716,0.0000012434512,0.00017929981,0.000006519196,0.001388497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995919,0.00006545275,0.00003176004,0.000063872176,0.00013460049,0.0001123119],"domain_scores_gemma":[0.9924515,0.003108271,0.0019997132,0.0006769914,0.0010404992,0.000722997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011723305,0.00011740847,0.00032792895,0.0009899711,0.0004903519,0.0024256273,0.00032753623,0.00055551704,0.009421562],"category_scores_gemma":[0.017241994,0.00015847626,0.00016922347,0.0010173663,0.00035487354,0.0015583416,0.00059832796,0.00061803,0.0011416145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038301186,0.000597883,0.6968806,0.00014423486,0.00027280304,0.0013958666,0.00073781895,0.038783215,0.024781357,0.06240952,0.0098522045,0.16031441],"study_design_scores_gemma":[0.000079898884,0.00030281386,0.9178836,0.000017303784,0.00010651564,0.0006676053,0.0010641806,0.04689449,0.006247071,0.01931403,0.007375978,0.000046497353],"about_ca_topic_score_codex":0.002668137,"about_ca_topic_score_gemma":0.0026214034,"teacher_disagreement_score":0.009421562,"about_ca_system_score_codex":0.0010715164,"about_ca_system_score_gemma":0.00026672572,"threshold_uncertainty_score":0.03151822},"labels":[],"label_agreement":null},{"id":"W2074899235","doi":"10.1007/s11156-009-0139-6","title":"Inter-market competition for NYSE-listed securities under decimals","year":2009,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Tick size; Competition (biology); Business; National best bid and offer; Financial economics; Order (exchange); High-frequency trading; Economics; Finance; Algorithmic trading; Financial market; Hybrid security","score_opus":0.05526130267532044,"score_gpt":0.2974238934965733,"score_spread":0.24216259082125285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074899235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68815255,0.02213579,0.005198836,0.0066349567,0.00043843847,0.000026977412,0.00084976177,0.000086927335,0.27647567],"genre_scores_gemma":[0.9865426,0.0032417863,0.00054576487,0.0002728111,0.00027633907,0.000008943767,0.00033693266,0.00001304714,0.008761683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989998,0.00025896315,0.000057219426,0.00010637683,0.0003842258,0.00019354756],"domain_scores_gemma":[0.99461865,0.002448101,0.0012591544,0.00024743815,0.00082432234,0.0006023517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018377386,0.00020007108,0.0003996146,0.0012926876,0.00071845896,0.0049577127,0.0004471268,0.00083099195,0.010764543],"category_scores_gemma":[0.008813149,0.00014275928,0.00025456212,0.0017790993,0.00096329674,0.0033856973,0.0008275581,0.0009941672,0.0011156533],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00177432,0.00024634777,0.037170917,0.00032679105,0.00012978421,0.00077067025,0.0005898726,0.008774654,0.007698398,0.78201985,0.035702866,0.12479551],"study_design_scores_gemma":[0.00027984194,0.0006737392,0.2062112,0.00067698053,0.00012362788,0.0013893315,0.002554972,0.05477856,0.008778987,0.5033062,0.22103451,0.00019205577],"about_ca_topic_score_codex":0.0020019305,"about_ca_topic_score_gemma":0.0033787873,"teacher_disagreement_score":0.010764543,"about_ca_system_score_codex":0.0013066354,"about_ca_system_score_gemma":0.0007474469,"threshold_uncertainty_score":0.03601098},"labels":[],"label_agreement":null},{"id":"W2075097879","doi":"10.2139/ssrn.407708","title":"Correlated Order Flow: Pervasiveness, Sources, and Pricing Effects","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Order (exchange); Economics; Econometrics; Financial economics; Business; Finance","score_opus":0.007284276244417896,"score_gpt":0.17923074773221664,"score_spread":0.17194647148779874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075097879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9091316,0.00066991564,0.0767164,0.0010117774,0.00008487754,0.000075357784,0.00037846065,0.0005057775,0.011425814],"genre_scores_gemma":[0.99582505,0.00021544409,0.002835309,0.000041598032,0.00010027445,0.000011943683,0.00011842868,0.00005393571,0.0007979647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987123,0.00038795464,0.00010025751,0.00024259876,0.0004057812,0.00015121087],"domain_scores_gemma":[0.93793684,0.037724882,0.008280862,0.010376796,0.0037942864,0.0018863304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002502606,0.00039682348,0.0010170916,0.0025623327,0.000854042,0.004305402,0.00085448154,0.00084275997,0.0069746003],"category_scores_gemma":[0.050868105,0.00071707414,0.0005616492,0.0025733453,0.0017558252,0.00516333,0.0018231597,0.0018609025,0.00046454594],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019632033,0.000961916,0.23207976,0.00031258963,0.00038123727,0.0013549526,0.0022752846,0.029652357,0.012539569,0.59474623,0.0058513023,0.117881656],"study_design_scores_gemma":[0.00034881235,0.0002482984,0.14633253,0.0001162791,0.00057144667,0.0011839911,0.0005879395,0.21584785,0.0051571084,0.62578386,0.0036483894,0.00017352769],"about_ca_topic_score_codex":0.0017699316,"about_ca_topic_score_gemma":0.0017578062,"teacher_disagreement_score":0.0069746003,"about_ca_system_score_codex":0.0006933219,"about_ca_system_score_gemma":0.0007110226,"threshold_uncertainty_score":0.023332357},"labels":[],"label_agreement":null},{"id":"W2075370685","doi":"10.2139/ssrn.896189","title":"How do Conflicting Theories about Financial Markets Coexist?","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Financial market; Economics; Business; Financial system; Financial economics; Finance","score_opus":0.009522084873646546,"score_gpt":0.20504790999609804,"score_spread":0.19552582512245148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075370685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4793686,0.017473716,0.117414884,0.23907067,0.0019181104,0.00017090267,0.00069605804,0.00032350942,0.14356357],"genre_scores_gemma":[0.9771716,0.0033485587,0.010313933,0.0056988257,0.0012329366,0.00017224209,0.0002678273,0.000078204655,0.0017158481],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98990566,0.0050411304,0.0005290995,0.001064964,0.0024665194,0.0009925745],"domain_scores_gemma":[0.9052005,0.06843571,0.010970979,0.0060744463,0.0061302916,0.0031881428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023245096,0.0011552359,0.0030795292,0.006814767,0.0025006153,0.01648025,0.004478977,0.01153831,0.012093286],"category_scores_gemma":[0.08866608,0.0016011692,0.0012785115,0.0046394565,0.014206003,0.03534498,0.007620611,0.0067935986,0.0018810827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024277138,0.00017599948,0.009571774,0.0004373883,0.0004068157,0.00026832288,0.0021816888,0.003032643,0.00033040057,0.94645023,0.004412009,0.032489996],"study_design_scores_gemma":[0.00004875746,0.000016759403,0.0012990345,0.000072277304,0.000052197298,0.00007240957,0.0014418522,0.004320834,0.00010801955,0.9911243,0.0014171657,0.000026446249],"about_ca_topic_score_codex":0.0005746153,"about_ca_topic_score_gemma":0.0008206755,"teacher_disagreement_score":0.023245096,"about_ca_system_score_codex":0.0019008857,"about_ca_system_score_gemma":0.0017609886,"threshold_uncertainty_score":0.12293327},"labels":[],"label_agreement":null},{"id":"W2075451845","doi":"10.1002/mcda.334","title":"A multi‐criterion approach for selecting attractive portfolio","year":2002,"lang":"en","type":"article","venue":"Journal of Multi-Criteria Decision Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Solvency; Portfolio; Market liquidity; Modern portfolio theory; Stock (firearms); Stock market; Financial market; Economics; Actuarial science; Econometrics; Financial economics; Computer science; Finance; Engineering","score_opus":0.10755791284026103,"score_gpt":0.3041591330269225,"score_spread":0.19660122018666146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075451845","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020964568,0.00076646596,0.9733462,0.00035718974,0.000044843713,0.00022510668,0.00005223956,0.0001036153,0.0041398006],"genre_scores_gemma":[0.47702,0.0003707359,0.5188353,0.00021081905,0.0001409571,0.00061175134,0.00021453203,0.000075783806,0.0025201126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99307114,0.0036004707,0.0003697318,0.00043184104,0.0021929871,0.00033388328],"domain_scores_gemma":[0.99124485,0.005226482,0.00064011896,0.0001773605,0.002268366,0.00044276763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008632793,0.0015321311,0.002512062,0.0062048044,0.0009169202,0.0027669522,0.0018823668,0.0020269742,0.00412084],"category_scores_gemma":[0.013026203,0.0007013438,0.0013576729,0.0025391479,0.001067682,0.0012067943,0.0016963135,0.0011346688,0.0005489233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025048724,0.0003741397,0.0024483725,0.0004799218,0.00046268915,0.00045983642,0.00020329928,0.7645626,0.003201661,0.038255826,0.0030253497,0.18627588],"study_design_scores_gemma":[0.000026952779,0.00012535897,0.00041060257,0.000050803294,0.00003226936,0.000047072826,0.000027766611,0.98717797,0.0003815058,0.010893714,0.0008046241,0.000021360946],"about_ca_topic_score_codex":0.0022128336,"about_ca_topic_score_gemma":0.0015108449,"teacher_disagreement_score":0.008632793,"about_ca_system_score_codex":0.0018290214,"about_ca_system_score_gemma":0.0017577936,"threshold_uncertainty_score":0.04565513},"labels":[],"label_agreement":null},{"id":"W2075543772","doi":"10.5539/ijef.v3n1p23","title":"The Intraday Behaviour of Bid-Ask Spreads, Trading Volume and Return Volatility: Evidence from DAX30","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Bid price; Financial economics; Econometrics; Bid–ask spread; Monetary economics; Market liquidity; Finance","score_opus":0.051015694151191004,"score_gpt":0.2230073573800883,"score_spread":0.1719916632288973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075543772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99830496,0.00014085566,0.00016074152,0.000036350677,0.0000024347491,0.000006455059,0.00050551834,0.000009341246,0.00083341234],"genre_scores_gemma":[0.9974172,0.00011272946,0.00021924026,0.000013709783,0.000012726457,0.0000066739467,0.0017283956,0.000004681516,0.000484695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946564,0.000119900746,0.00005687813,0.00011087631,0.00019080982,0.00005603158],"domain_scores_gemma":[0.99357647,0.0019631626,0.0027581123,0.0007004085,0.0005708957,0.00043104074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00116424,0.0002505797,0.0003082205,0.0012016207,0.00033301895,0.00095867255,0.00047814753,0.00038088902,0.0013697813],"category_scores_gemma":[0.0052724136,0.00027306922,0.00021149318,0.0013343933,0.00034396554,0.0007644861,0.00065206975,0.0004898856,0.0006997902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005972151,0.00029620467,0.9771597,0.000056652007,0.00015835246,0.00032732915,0.0008949116,0.0016086985,0.0037548824,0.001033751,0.0009873442,0.013124914],"study_design_scores_gemma":[0.000008096115,0.00011029765,0.9959045,0.0000047015624,0.000013200327,0.00014155287,0.00015177662,0.0020499588,0.0005860602,0.0001503465,0.0008704124,0.000009112965],"about_ca_topic_score_codex":0.0047756825,"about_ca_topic_score_gemma":0.0054112584,"teacher_disagreement_score":0.0047756825,"about_ca_system_score_codex":0.00028473284,"about_ca_system_score_gemma":0.00017488735,"threshold_uncertainty_score":0.009495735},"labels":[],"label_agreement":null},{"id":"W2076582919","doi":"10.1002/pamm.200700221","title":"Portfolio Improvement by Using the Sharpe Rule and Value‐at‐Risk","year":2007,"lang":"en","type":"article","venue":"PAMM","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Journal of Communication (Canada)","funders":"","keywords":"Sharpe ratio; Portfolio; Diversification (marketing strategy); Post-modern portfolio theory; Portfolio optimization; Rate of return on a portfolio; Econometrics; Economics; Stock (firearms); Financial economics; Expected return; Stock market; Modern portfolio theory; Actuarial science; Computer science; Replicating portfolio; Business; Engineering; Geography","score_opus":0.02071979124963671,"score_gpt":0.21765186790840646,"score_spread":0.19693207665876974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076582919","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049951613,0.0026667763,0.9388746,0.00068808586,0.00009958568,0.00006254036,0.000031719075,0.00028647613,0.0073386235],"genre_scores_gemma":[0.82937986,0.0012916498,0.16676737,0.00014004948,0.00022151959,0.00006141154,0.00005379446,0.000050612394,0.0020336574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974814,0.001137973,0.00015078,0.00027658313,0.0008407837,0.000112526504],"domain_scores_gemma":[0.99315214,0.004417087,0.0009606356,0.00066401827,0.0006532238,0.0001529345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006799769,0.00063262414,0.001172097,0.0019428948,0.00021038859,0.0017889957,0.00071263814,0.00091460196,0.0016500439],"category_scores_gemma":[0.022389617,0.00031882373,0.0006084046,0.0011007509,0.001249316,0.0029097064,0.001080448,0.0010890975,0.0003356596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024892873,0.00010805327,0.0047459067,0.00016922811,0.00020356683,0.0002727732,0.00011977461,0.3779537,0.0104683135,0.27150723,0.0024996034,0.3317029],"study_design_scores_gemma":[0.0000345678,0.00020649754,0.0022015276,0.000023198741,0.000039385388,0.00017292722,0.000019043893,0.8704596,0.005568064,0.11884324,0.0023975677,0.000034425513],"about_ca_topic_score_codex":0.00029525085,"about_ca_topic_score_gemma":0.00019412466,"teacher_disagreement_score":0.006799769,"about_ca_system_score_codex":0.00065243745,"about_ca_system_score_gemma":0.00036561073,"threshold_uncertainty_score":0.03596109},"labels":[],"label_agreement":null},{"id":"W2077103841","doi":"10.1080/10920277.2014.922032","title":"Positive Weights on the Efficient Frontier","year":2014,"lang":"en","type":"article","venue":"North American Actuarial Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Wilfrid Laurier University","keywords":"Efficient frontier; Portfolio; Capital market line; Covariance matrix; Portfolio optimization; Modern portfolio theory; Capital asset pricing model; Market portfolio; Replicating portfolio; Econometrics; Proxy (statistics); Separation property; Economics; Black–Litterman model; Post-modern portfolio theory; Frontier; Financial economics; Mathematics; Statistics; Stock market","score_opus":0.012623551086319532,"score_gpt":0.18952434509882454,"score_spread":0.17690079401250502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077103841","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17414375,0.00059862353,0.7494587,0.0011961126,0.00008713061,0.00008214958,0.00015954055,0.00016684203,0.07410712],"genre_scores_gemma":[0.93980885,0.00095062435,0.042913236,0.0001704486,0.00014593471,0.00013610671,0.00013261037,0.00012196826,0.015620218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986362,0.00037317388,0.00006070183,0.00022277959,0.0004596232,0.00024752592],"domain_scores_gemma":[0.9971596,0.0013868707,0.00035610312,0.00033671787,0.0005210133,0.00023968976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018097708,0.0009116378,0.0008675378,0.0013618837,0.0006661802,0.0027514466,0.0005742066,0.0011645927,0.0078119077],"category_scores_gemma":[0.012526828,0.00048971217,0.00051053084,0.0007763703,0.0020757497,0.0041609537,0.0016984402,0.0017663058,0.0011052191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016248414,0.000026350748,0.0003461655,0.000036705624,0.000011919243,0.00014493591,0.00006043971,0.01740956,0.0026205012,0.96345055,0.00096615095,0.01491049],"study_design_scores_gemma":[0.000023453838,0.000035785353,0.0005614856,0.000040544164,0.000010071212,0.00019159846,0.000059551858,0.065128244,0.0015428307,0.9285983,0.0037881758,0.000020018057],"about_ca_topic_score_codex":0.00050972437,"about_ca_topic_score_gemma":0.0003730109,"teacher_disagreement_score":0.0078119077,"about_ca_system_score_codex":0.0007353219,"about_ca_system_score_gemma":0.0008109624,"threshold_uncertainty_score":0.026133418},"labels":[],"label_agreement":null},{"id":"W2077122800","doi":"10.2139/ssrn.1467088","title":"Nature or Nurture: What Determines Investor Behavior?","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Nature versus nurture; Portfolio; Economics; Volatility (finance); Asset allocation; Stock market; Stock (firearms); Portfolio allocation; Microeconomics; Econometrics; Financial economics; Biology; Genetics","score_opus":0.013797681298198947,"score_gpt":0.22821601563773,"score_spread":0.21441833433953106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077122800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788821,0.00096366764,0.0019536642,0.0028429185,0.000027287446,0.000009069037,0.000044630688,0.0000069995267,0.015269634],"genre_scores_gemma":[0.9975751,0.0003813085,0.00063206226,0.0002715569,0.000021114944,0.000002957758,0.000013370322,0.0000065003846,0.0010961056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999663,0.0001924436,0.000010259796,0.000048549176,0.000041342406,0.000044368273],"domain_scores_gemma":[0.99484974,0.0029666242,0.001095723,0.00022622479,0.00018562324,0.0006760352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011678521,0.00011459456,0.0002616614,0.00026441299,0.00026568156,0.0014649405,0.00024912038,0.0008954872,0.003978487],"category_scores_gemma":[0.008514607,0.00013373475,0.00010447561,0.00025089982,0.0008887685,0.0013828125,0.00037942434,0.0004927663,0.0004125597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005996135,0.0003281944,0.8593063,0.00013360035,0.00019204026,0.00054484745,0.0028563843,0.0010048754,0.0090988055,0.021954244,0.0020115084,0.10196976],"study_design_scores_gemma":[0.00004195642,0.00045872488,0.9148401,0.000127663,0.00019474584,0.0016718057,0.007567777,0.0058657476,0.0027436132,0.055413224,0.011034697,0.000039886585],"about_ca_topic_score_codex":0.00054652954,"about_ca_topic_score_gemma":0.0017011137,"teacher_disagreement_score":0.003978487,"about_ca_system_score_codex":0.00023965945,"about_ca_system_score_gemma":0.0002269858,"threshold_uncertainty_score":0.01330936},"labels":[],"label_agreement":null},{"id":"W2077220221","doi":"10.1142/s0219024906003895","title":"SOME FURTHER ANALYTICAL PROPERTIES OF THE CONSTANT CORRELATION MODEL FOR PORTFOLIO SELECTION","year":2006,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Portfolio; Constant (computer programming); Selection (genetic algorithm); Econometrics; Computer science; Covariance matrix; Portfolio optimization; Modern portfolio theory; Correlation; Computation; Model selection; Post-modern portfolio theory; Set (abstract data type); Variance (accounting); Matrix (chemical analysis); Mathematical optimization; Replicating portfolio; Mathematics; Economics; Algorithm; Machine learning; Financial economics","score_opus":0.014482098027730789,"score_gpt":0.20291677935214153,"score_spread":0.18843468132441074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077220221","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008013082,0.0010065327,0.9695295,0.0030111594,0.00012325295,0.00007410635,0.00020651931,0.00024918115,0.0177866],"genre_scores_gemma":[0.561669,0.007835601,0.37109333,0.002847703,0.0014963796,0.0009469083,0.0008696067,0.0005800663,0.052661374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99874926,0.00055702776,0.000052456995,0.0001988325,0.00028258286,0.00015982598],"domain_scores_gemma":[0.99065334,0.007347152,0.0007137602,0.000613126,0.0005466439,0.00012592104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042744298,0.0011134067,0.0009342582,0.0011520057,0.0009739719,0.0021574919,0.0018223954,0.002067609,0.014238392],"category_scores_gemma":[0.026378686,0.00059464964,0.001744834,0.002376562,0.0019298638,0.0044956626,0.0012677285,0.0034937086,0.0021791437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013978853,0.00004153573,0.0007428342,0.00007091279,0.000020151616,0.00020819664,0.00016682071,0.08921001,0.0003832084,0.8847658,0.005842445,0.018534018],"study_design_scores_gemma":[0.000014684375,0.000022768301,0.0003560629,0.000041350097,0.000015640098,0.00016653637,0.000036004232,0.45098102,0.00025421227,0.5415846,0.0064999284,0.000027251128],"about_ca_topic_score_codex":0.006549046,"about_ca_topic_score_gemma":0.0049884645,"teacher_disagreement_score":0.014238392,"about_ca_system_score_codex":0.001943592,"about_ca_system_score_gemma":0.0019990848,"threshold_uncertainty_score":0.047632158},"labels":[],"label_agreement":null},{"id":"W2077595439","doi":"10.1007/s11156-010-0169-0","title":"Informed traders of cross-listed shares trade more in the domestic market around earnings releases","year":2010,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; Concordia University","funders":"","keywords":"Price discovery; Earnings; Market liquidity; Market microstructure; Business; Corporate finance; Stock exchange; Monetary economics; Economics; Financial economics; Financial system; Order (exchange); Finance","score_opus":0.045570488354638033,"score_gpt":0.32796710989607375,"score_spread":0.28239662154143574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077595439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92810863,0.015183507,0.008380692,0.0034088024,0.0002605617,0.00001850725,0.00019577186,0.00007784111,0.044365797],"genre_scores_gemma":[0.9861267,0.004843005,0.0006629781,0.0005456912,0.00023210613,0.000003972153,0.00011402975,0.000012566806,0.007458977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997427,0.00006798394,0.000017310158,0.000054716937,0.00008801561,0.000029266199],"domain_scores_gemma":[0.9960382,0.0016717373,0.0017149317,0.00026879026,0.00018703214,0.000119332304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079248287,0.00016128307,0.00033714,0.00047828653,0.00024996596,0.0030966029,0.00022430513,0.0006902049,0.004806857],"category_scores_gemma":[0.0056945025,0.00017393976,0.00025496873,0.00061670993,0.0003614493,0.002904888,0.00052969303,0.00072508934,0.0008498516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014703331,0.00054232875,0.53732055,0.00061624456,0.0012798606,0.0021737872,0.0036324551,0.012079835,0.012749072,0.086201295,0.009263016,0.3326712],"study_design_scores_gemma":[0.00032192466,0.000737811,0.6882739,0.0005615706,0.001743631,0.0026412113,0.006527629,0.029310793,0.013550508,0.13381687,0.122330494,0.0001836773],"about_ca_topic_score_codex":0.0007091694,"about_ca_topic_score_gemma":0.0013401284,"teacher_disagreement_score":0.004806857,"about_ca_system_score_codex":0.0002483172,"about_ca_system_score_gemma":0.00017193626,"threshold_uncertainty_score":0.016080499},"labels":[],"label_agreement":null},{"id":"W2077646617","doi":"10.1111/j.1540-6288.2006.00139.x","title":"The Subjective Valuation of Indexed Stock Options and Their Incentive Effects","year":2006,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Capital asset pricing model; Incentive; Diversification (marketing strategy); Economics; Executive compensation; Stock options; Stock (firearms); Non-qualified stock option; Valuation (finance); Financial economics; Restricted stock; Business; Microeconomics; Actuarial science; Stock market; Finance","score_opus":0.026752543798794395,"score_gpt":0.22856168371479388,"score_spread":0.20180913991599947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077646617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8366483,0.0018884597,0.120935485,0.0016588866,0.00010020933,0.00006111203,0.00011002011,0.000037629674,0.03855992],"genre_scores_gemma":[0.9941245,0.00035813518,0.0031736537,0.000050392453,0.00004309103,0.000016765804,0.00002275433,0.000003916714,0.0022067635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99881315,0.0007344875,0.00005435654,0.000073729505,0.00024924037,0.00007498063],"domain_scores_gemma":[0.9862352,0.008929823,0.0023693037,0.00081184105,0.0009945035,0.00065929897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047466164,0.00036360585,0.0004924745,0.0004935659,0.00023975543,0.0019897125,0.0005818387,0.00094715465,0.004962278],"category_scores_gemma":[0.024463944,0.00026180787,0.00038629424,0.000384413,0.0013382783,0.0026258656,0.0007117389,0.0010378482,0.00021339704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022982144,0.00026954288,0.008118969,0.00012134578,0.000085372456,0.0005245086,0.00038735115,0.03489009,0.003513511,0.92421347,0.0007143419,0.026931588],"study_design_scores_gemma":[0.000114951494,0.0003539459,0.01762836,0.00010101108,0.000087914996,0.00036307386,0.00026289446,0.25108352,0.0013684203,0.7257511,0.002806527,0.00007824155],"about_ca_topic_score_codex":0.00038213722,"about_ca_topic_score_gemma":0.00031134725,"teacher_disagreement_score":0.004962278,"about_ca_system_score_codex":0.00063149736,"about_ca_system_score_gemma":0.00034743358,"threshold_uncertainty_score":0.025102794},"labels":[],"label_agreement":null},{"id":"W2077707094","doi":"10.1007/s00186-015-0493-1","title":"Downside loss aversion: Winner or loser?","year":2015,"lang":"en","type":"article","venue":"Mathematical Methods of Operations Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"CVAR; Downside risk; Expected shortfall; Portfolio; Asset allocation; Econometrics; Stochastic dominance; Asset (computer security); Economics; Risk aversion (psychology); Loss aversion; Expected utility hypothesis; Computer science; Microeconomics; Financial economics","score_opus":0.42814107962595993,"score_gpt":0.4699745742157992,"score_spread":0.04183349458983926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077707094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65992445,0.008748665,0.20958894,0.04436989,0.0027817695,0.00012792661,0.000239295,0.00025641714,0.07396265],"genre_scores_gemma":[0.98040515,0.0013603977,0.007479523,0.0013488408,0.0012790019,0.000035347835,0.0000359434,0.000058031255,0.00799793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99829835,0.00061417354,0.00010562769,0.00035140244,0.00037755657,0.0002528151],"domain_scores_gemma":[0.9915343,0.0038504642,0.0016100688,0.0012306982,0.0007359028,0.00103857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008266448,0.0005787125,0.0013332106,0.0007679361,0.00056842715,0.0029420948,0.0010010445,0.0015586325,0.010357579],"category_scores_gemma":[0.023639217,0.00029942472,0.00055162125,0.00044492885,0.0028451735,0.0057503036,0.0026196588,0.003941212,0.0007587579],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018400775,0.00079161354,0.031764958,0.00040233688,0.0005585247,0.0013504851,0.0012132282,0.00773665,0.0034874505,0.5443071,0.027039321,0.3795083],"study_design_scores_gemma":[0.000102284124,0.00039873947,0.008824822,0.00016998709,0.0002276152,0.000981488,0.0015269672,0.031822894,0.0012556249,0.944019,0.01058554,0.00008502439],"about_ca_topic_score_codex":0.0002206032,"about_ca_topic_score_gemma":0.0002618865,"teacher_disagreement_score":0.010357579,"about_ca_system_score_codex":0.00044665864,"about_ca_system_score_gemma":0.0005156627,"threshold_uncertainty_score":0.043717682},"labels":[],"label_agreement":null},{"id":"W2077763914","doi":"10.1057/palgrave.jdhf.1850069","title":"Pricing, value-at-risk and dynamic properties of re-settable strike-price puts","year":2007,"lang":"en","type":"article","venue":"Journal of Derivatives & Hedge Funds","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Futures contract; Strike price; Value (mathematics); Derivatives market; Financial economics; Index (typography); Investment (military); Economics; Microeconomics; Forward market; Business; Actuarial science; Computer science; Politics","score_opus":0.026456366966019336,"score_gpt":0.22602763362323836,"score_spread":0.19957126665721903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077763914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88791794,0.00078103575,0.104504295,0.00085370144,0.00008008017,0.000030042896,0.00014454915,0.00024237254,0.0054459893],"genre_scores_gemma":[0.99606955,0.00020966273,0.002137049,0.0000247972,0.000067496156,0.000010789152,0.0000655356,0.0000434603,0.0013717307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991709,0.00021942536,0.00006577333,0.00018167339,0.00019938649,0.00016283544],"domain_scores_gemma":[0.973884,0.017428076,0.004217012,0.0020002238,0.0012350627,0.0012357079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042743348,0.0010164125,0.0018005428,0.0015986032,0.0007238518,0.0046339477,0.002538277,0.0023809467,0.0041100816],"category_scores_gemma":[0.037490875,0.0013268933,0.0013308814,0.0011400225,0.0030934084,0.0065451628,0.0014703296,0.003762646,0.00041610855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000634585,0.00030279436,0.013456684,0.0001415617,0.00018495659,0.0020177187,0.00078643544,0.26442328,0.020011913,0.6735018,0.0015147134,0.023023654],"study_design_scores_gemma":[0.000049051454,0.0000761971,0.0039277966,0.000015994796,0.000050417653,0.00048143166,0.00008419993,0.80573803,0.0015774679,0.18768427,0.0002528397,0.00006228546],"about_ca_topic_score_codex":0.001319587,"about_ca_topic_score_gemma":0.0006971389,"teacher_disagreement_score":0.0046339477,"about_ca_system_score_codex":0.0011689573,"about_ca_system_score_gemma":0.00067986007,"threshold_uncertainty_score":0.022605121},"labels":[],"label_agreement":null},{"id":"W2077801557","doi":"10.1109/sisy.2015.7325393","title":"Algorithmic trading systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Crash; Electronic trading; Computer science; Front (military); Algorithmic trading; Investment (military); Electronic markets; Trading strategy; Computer security; Industrial organization; Business; Financial economics; Economics; The Internet; World Wide Web; Algorithm; Engineering","score_opus":0.08439442963228312,"score_gpt":0.22070423232572156,"score_spread":0.13630980269343845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077801557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019543836,0.0025796087,0.8638606,0.0035891645,0.0008524776,0.0002825364,0.00047517402,0.0018623048,0.106954396],"genre_scores_gemma":[0.53482,0.0033193429,0.41528875,0.0013776302,0.001083556,0.0005186256,0.0015103441,0.0004257262,0.04165607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99693906,0.00082813523,0.00030710982,0.00057587656,0.0010628834,0.00028697317],"domain_scores_gemma":[0.99502337,0.0021108428,0.0003364536,0.0014619047,0.00082578993,0.00024175223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029015143,0.0007753788,0.00080054114,0.0010561916,0.0015832537,0.0056693596,0.0019237943,0.0021170327,0.017191285],"category_scores_gemma":[0.012940192,0.00052973896,0.00096097245,0.0012791253,0.0025677616,0.005972404,0.0037112492,0.0022834677,0.0037873818],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005972378,0.0000433463,0.00058787584,0.00011541233,0.000042876527,0.000091257934,0.00014983273,0.024842933,0.0008125002,0.91418755,0.007055251,0.052011453],"study_design_scores_gemma":[0.000040657847,0.000040083585,0.00015793351,0.000048650072,0.000018175513,0.000122060184,0.000046152203,0.12052025,0.00064882234,0.83982164,0.038513552,0.000022110054],"about_ca_topic_score_codex":0.0011590658,"about_ca_topic_score_gemma":0.0010720147,"teacher_disagreement_score":0.017191285,"about_ca_system_score_codex":0.0012730064,"about_ca_system_score_gemma":0.0017012366,"threshold_uncertainty_score":0.057510614},"labels":[],"label_agreement":null},{"id":"W2077816918","doi":"10.3905/jwm.2014.17.1.078","title":"Rankings of the Largest 25 Hedge Funds during the2009–2013 Period","year":2014,"lang":"en","type":"article","venue":"The journal of wealth management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Period (music); Hedge fund; Business; Economics; Financial economics; Finance; Philosophy","score_opus":0.015015397822785752,"score_gpt":0.20139828638219,"score_spread":0.18638288855940427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077816918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748326,0.0020893095,0.00016557805,0.00024021264,0.000041612802,0.000015748776,0.017361479,0.00008018523,0.005173402],"genre_scores_gemma":[0.96007496,0.0009119479,0.000340109,0.000068341644,0.000063062995,0.000014956364,0.03498948,0.000021915916,0.0035151667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993598,0.000043311928,0.00007481874,0.000103305705,0.00026990633,0.00014879569],"domain_scores_gemma":[0.99734026,0.00025768965,0.0010479117,0.00007004981,0.00083630905,0.0004477554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010489413,0.0003914881,0.0003468329,0.0040937755,0.00033962412,0.0013750893,0.0003296134,0.00041876893,0.0016715531],"category_scores_gemma":[0.0027603265,0.00013553539,0.00037285406,0.0036290593,0.00024302029,0.0006292139,0.00082844694,0.00033318633,0.00070434256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007870646,0.00009676404,0.9073097,0.00019370431,0.000262697,0.0003840138,0.0004431634,0.00290992,0.0019563357,0.0014009164,0.04026672,0.04398908],"study_design_scores_gemma":[0.000026175874,0.00015017447,0.9740073,0.00005563747,0.00007483013,0.0003445612,0.00083143177,0.0018470474,0.0019056953,0.00013882526,0.020589048,0.000029091862],"about_ca_topic_score_codex":0.029747782,"about_ca_topic_score_gemma":0.043064315,"teacher_disagreement_score":0.029747782,"about_ca_system_score_codex":0.0011566266,"about_ca_system_score_gemma":0.00065956183,"threshold_uncertainty_score":0.059149265},"labels":[],"label_agreement":null},{"id":"W2077847004","doi":"10.1016/j.chieco.2014.11.005","title":"The effect of index futures trading on volatility: Three markets for Chinese stocks","year":2014,"lang":"en","type":"article","venue":"China Economic Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Futures contract; Financial economics; Autoregressive conditional heteroskedasticity; Volatility (finance); Mainland China; Economics; Stock market index; Index (typography); Forward market; China; Spot market; Heteroscedasticity; Futures market; Stock market; Econometrics; Geography","score_opus":0.013867508744391828,"score_gpt":0.23906281332494833,"score_spread":0.2251953045805565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077847004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96702015,0.027759302,0.00015607961,0.0011984874,0.00010362308,0.000014070103,0.0003219504,0.000005908036,0.003420407],"genre_scores_gemma":[0.984447,0.014520267,0.00006350547,0.00009978919,0.00013127728,0.0000045495226,0.00028454198,0.0000028109798,0.00044617677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997483,0.00004661389,0.000028192575,0.000026785063,0.00010020886,0.000049863826],"domain_scores_gemma":[0.9975594,0.0011404958,0.00065750186,0.00006883201,0.00037279478,0.00020096937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001439544,0.00035229282,0.0005019062,0.0012156629,0.00030146271,0.0014230073,0.00042161267,0.0004974685,0.0012008728],"category_scores_gemma":[0.0044559794,0.00012573002,0.000893166,0.0016090914,0.00050891197,0.0008720522,0.00040490428,0.00047061575,0.000076491655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048358296,0.00045725086,0.74591297,0.004089604,0.0045050676,0.00217279,0.00143547,0.014156632,0.012393527,0.022155631,0.009932149,0.17795315],"study_design_scores_gemma":[0.0001528921,0.0003969227,0.9776478,0.00011678791,0.002471694,0.00012051538,0.00038432397,0.00808305,0.0017703477,0.003285271,0.0055101193,0.000060268005],"about_ca_topic_score_codex":0.024464838,"about_ca_topic_score_gemma":0.024681522,"teacher_disagreement_score":0.024464838,"about_ca_system_score_codex":0.0011246214,"about_ca_system_score_gemma":0.0012232682,"threshold_uncertainty_score":0.0486449},"labels":[],"label_agreement":null},{"id":"W2078630552","doi":"10.5539/ijms.v6n1p21","title":"Stock Price and Trading Volume during Market Crashes","year":2014,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volume-weighted average price; Algorithmic trading; Stock exchange; Stock market; Financial economics; Stock (firearms); Volume (thermodynamics); Stock price; Economics; Econometrics; Business; Market maker; Finance","score_opus":0.026893030686907748,"score_gpt":0.2446625876101069,"score_spread":0.21776955692319916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078630552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78485,0.00064499525,0.19664636,0.0014909899,0.000108505184,0.0002155218,0.0025955534,0.0005887783,0.012859262],"genre_scores_gemma":[0.98672616,0.0003096011,0.0049877055,0.000056546305,0.000046572222,0.00015422638,0.00069536496,0.00004569797,0.006978243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993192,0.00016534493,0.000041564716,0.0001602196,0.00017093535,0.0001427803],"domain_scores_gemma":[0.9968411,0.0013031084,0.0010350377,0.0002060558,0.00039683253,0.00021799476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016972368,0.0010117746,0.0009633055,0.0010214569,0.00050762447,0.0019813238,0.002308635,0.0021573964,0.004069059],"category_scores_gemma":[0.0092458585,0.0007341407,0.00086602353,0.0008379419,0.00084984227,0.0029382259,0.00083590235,0.0017861208,0.00085426663],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020687943,0.0001434847,0.019770022,0.00004281565,0.00007666681,0.0004107162,0.00023504543,0.94169706,0.0015028088,0.029113518,0.0012896948,0.005511361],"study_design_scores_gemma":[0.000027307207,0.00005280611,0.002651154,0.000007666245,0.000019739035,0.000077420205,0.000023849138,0.9916732,0.00016652311,0.0048597404,0.0004219989,0.00001864884],"about_ca_topic_score_codex":0.017393226,"about_ca_topic_score_gemma":0.008547955,"teacher_disagreement_score":0.017393226,"about_ca_system_score_codex":0.0013439737,"about_ca_system_score_gemma":0.0010049116,"threshold_uncertainty_score":0.034583986},"labels":[],"label_agreement":null},{"id":"W2078759421","doi":"10.1111/j.1936-4490.2004.tb00348.x","title":"The Comparative Performance of Load and No‐Load Mutual Funds in Canada","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics","score_opus":0.09504579734405345,"score_gpt":0.2675138255583391,"score_spread":0.17246802821428564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078759421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900553,0.00063024857,0.0005988991,0.0006785623,0.000009423358,0.00002632736,0.00088042463,0.00007221216,0.0070486153],"genre_scores_gemma":[0.99603087,0.000228117,0.00024632562,0.00002176827,0.0000039718425,0.000004009997,0.00035959427,0.000007596253,0.0030978306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983359,0.00019551833,0.00005912755,0.00016001996,0.0006704772,0.00057896256],"domain_scores_gemma":[0.99568045,0.0009945761,0.0009244278,0.0001720222,0.0014001273,0.0008283796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002217265,0.00063017075,0.0006582679,0.0014838588,0.0011684875,0.0035707075,0.0010974162,0.000617111,0.0030963935],"category_scores_gemma":[0.009858296,0.00027820066,0.0006028018,0.0014049193,0.001200787,0.001116646,0.001499026,0.00055006606,0.00023542387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022361123,0.00016262905,0.6292649,0.00030786256,0.00042402622,0.00062416896,0.0021653827,0.25628832,0.0024248222,0.034255296,0.0065609897,0.065285616],"study_design_scores_gemma":[0.00022218033,0.0006551271,0.59391254,0.00014320013,0.00047550548,0.00026302767,0.0064476887,0.36517394,0.0066603716,0.0050644744,0.020740815,0.00024107353],"about_ca_topic_score_codex":0.9739934,"about_ca_topic_score_gemma":0.9668101,"teacher_disagreement_score":0.044057675,"about_ca_system_score_codex":0.044057675,"about_ca_system_score_gemma":0.035930116,"threshold_uncertainty_score":0.31966227},"labels":[],"label_agreement":null},{"id":"W2079046109","doi":"10.1108/19405979201100006","title":"Double then Nothing: Why Stock Investments Relying on Simple Heuristics May Disappoint","year":2011,"lang":"en","type":"article","venue":"Review of Behavioral Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Ivey Business School, Western University; York University","keywords":"Heuristics; Disappointment; Economics; Rule of thumb; Econometrics; Anticipation (artificial intelligence); Simple (philosophy); Stock (firearms); Heuristic; Financial economics; Microeconomics; Computer science; Psychology","score_opus":0.17393568815620336,"score_gpt":0.3075116009956208,"score_spread":0.13357591283941744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079046109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9530333,0.0040693544,0.009740546,0.011119541,0.0002043017,0.00006483941,0.00016060281,0.00014888063,0.021458676],"genre_scores_gemma":[0.99575293,0.00067802327,0.0014700413,0.00086711475,0.000059049988,0.000013795911,0.00003543487,0.000014420261,0.0011091684],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998429,0.00063143094,0.000103293976,0.0002183672,0.0004086455,0.00020928774],"domain_scores_gemma":[0.9771155,0.010041177,0.008590533,0.0014935827,0.0017942917,0.00096490403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044057188,0.00032506374,0.00040458658,0.0008724577,0.0005025058,0.0031113236,0.00067694904,0.0019240159,0.002492448],"category_scores_gemma":[0.035151023,0.0002631899,0.0003500653,0.0008288749,0.002004368,0.002532289,0.00061677344,0.0012286929,0.000805009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011080708,0.0004568439,0.65430176,0.00035848308,0.000645738,0.001417781,0.0022498723,0.010590589,0.0054953364,0.04942554,0.016131295,0.25781867],"study_design_scores_gemma":[0.00030939802,0.0009391622,0.6687337,0.0002956712,0.00032238063,0.001967448,0.004719966,0.033562317,0.006770715,0.2634697,0.01861658,0.00029290788],"about_ca_topic_score_codex":0.0020375745,"about_ca_topic_score_gemma":0.0028565652,"teacher_disagreement_score":0.0044057188,"about_ca_system_score_codex":0.00086888834,"about_ca_system_score_gemma":0.00066017214,"threshold_uncertainty_score":0.023299992},"labels":[],"label_agreement":null},{"id":"W2079564390","doi":"10.1111/j.1468-2443.2005.00047.x","title":"The Effect of Short Sale Constraint Removal on Volatility in the Presence of Heterogeneous Beliefs<sup>*</sup>","year":2003,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Volatility (finance); Economics; Intuition; Econometrics; Stochastic game; Stock market; Stock (firearms); Financial economics; Microeconomics","score_opus":0.021080863990360407,"score_gpt":0.25892017117132554,"score_spread":0.23783930718096513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079564390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954033,0.00012159071,0.002218482,0.00031748723,0.000023739914,0.000009263689,0.000060346734,0.00003114476,0.0018147131],"genre_scores_gemma":[0.99948657,0.000034152872,0.0002412085,0.00002689073,0.00001487861,0.000003146618,0.000028608685,0.0000039818424,0.00016054822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990005,0.00036640142,0.000055235683,0.00007154351,0.00014301996,0.0003633376],"domain_scores_gemma":[0.9648999,0.0285402,0.0032392177,0.0012174058,0.00073822465,0.0013650717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026988932,0.0005630696,0.0010856765,0.00049254514,0.0005654381,0.0017661015,0.00093308394,0.0013508757,0.003665523],"category_scores_gemma":[0.024312736,0.00028024463,0.00069034897,0.00035721966,0.0011855112,0.0014032217,0.0012653599,0.0015377634,0.0002036482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009064576,0.0021404317,0.06688537,0.00034460615,0.00072977616,0.003852369,0.0004044725,0.7874762,0.057778668,0.03326148,0.0029225028,0.035139553],"study_design_scores_gemma":[0.00047878228,0.0022924482,0.044263963,0.00003149052,0.00038303164,0.0003689996,0.00063466764,0.9056604,0.017620692,0.027404932,0.0007322976,0.00012833392],"about_ca_topic_score_codex":0.0049646003,"about_ca_topic_score_gemma":0.0017493232,"teacher_disagreement_score":0.0049646003,"about_ca_system_score_codex":0.00081382476,"about_ca_system_score_gemma":0.0005889898,"threshold_uncertainty_score":0.014273286},"labels":[],"label_agreement":null},{"id":"W2079936065","doi":"10.1353/tlj.2006.0010","title":"The Impact of Hot Issue Markets and Noise Traders on Stock Exchange Listing Standards","year":2006,"lang":"en","type":"article","venue":"University of Toronto Law Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shareholder; Stock exchange; Business; Capital market; Mandate; Incentive; Public interest; Market maker; Primary market; Accounting; Finance; Economics; Stock market; Corporate governance; Market economy; Law","score_opus":0.015397347305828554,"score_gpt":0.2118321612226256,"score_spread":0.19643481391679704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079936065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86133784,0.0010765253,0.004891489,0.004133796,0.000053960688,0.00006878338,0.00017059594,0.000056142628,0.12821086],"genre_scores_gemma":[0.9988438,0.000101070436,0.00014794817,0.00011730136,0.00003775869,0.000005891792,0.00001654349,0.0000047491326,0.00072507025],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968996,0.0012253602,0.00017196612,0.00021142112,0.0010739912,0.00041769067],"domain_scores_gemma":[0.93396765,0.041910354,0.019299692,0.0012438705,0.0019728628,0.001605514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040261648,0.00025004701,0.00042310037,0.0010982737,0.00092883914,0.0068932017,0.0005637664,0.0013684005,0.008157954],"category_scores_gemma":[0.031408306,0.00017672223,0.0003470716,0.0010992792,0.0041121137,0.0044272197,0.0017986755,0.001688249,0.00026678623],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008668482,0.00077898573,0.24358015,0.00023928752,0.00020209054,0.0011585676,0.0033116587,0.019725198,0.002200277,0.66845703,0.0044857534,0.054994065],"study_design_scores_gemma":[0.000303439,0.0008726622,0.39176166,0.00027258886,0.00028834897,0.00049872056,0.009957888,0.039768875,0.0040496266,0.53777754,0.014246888,0.00020179516],"about_ca_topic_score_codex":0.0023633083,"about_ca_topic_score_gemma":0.0024155453,"teacher_disagreement_score":0.008157954,"about_ca_system_score_codex":0.0019206062,"about_ca_system_score_gemma":0.0010203015,"threshold_uncertainty_score":0.027291},"labels":[],"label_agreement":null},{"id":"W2080085751","doi":"10.1016/j.jimonfin.2006.04.003","title":"Y2K fears and safe haven trading of the U.S. dollar","year":2006,"lang":"en","type":"article","venue":"Journal of International Money and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Alberta","funders":"","keywords":"Safe haven; Liberian dollar; Market liquidity; Haven; Spot contract; Business; Spot market; Monetary economics; Economics; Financial economics; Finance; Engineering","score_opus":0.013260975316273101,"score_gpt":0.19282647182724225,"score_spread":0.17956549651096915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080085751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89671725,0.0035316448,0.00043925375,0.023121782,0.0001542609,0.000008239414,0.00031986044,0.000024992147,0.075682804],"genre_scores_gemma":[0.99707234,0.00038798156,0.000024437752,0.00037830588,0.00003928922,0.0000011778366,0.000045881174,0.0000050587855,0.0020454826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997801,0.000053436182,0.000012806387,0.000032105567,0.00004616294,0.00007542634],"domain_scores_gemma":[0.9981177,0.0006046056,0.00079669844,0.00006755623,0.00018277271,0.00023074295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066953554,0.0001699829,0.00026537827,0.0005580763,0.0011666801,0.0038798722,0.00033466506,0.0018828866,0.009384975],"category_scores_gemma":[0.005289958,0.00016294478,0.00019257056,0.0006677824,0.0015300259,0.002850564,0.0013515662,0.002262216,0.00047952984],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003226009,0.0004886771,0.2886477,0.0001579783,0.0001878375,0.0025176306,0.0063248114,0.006807794,0.00140466,0.517729,0.08176339,0.0907446],"study_design_scores_gemma":[0.00023181544,0.00029427695,0.42231232,0.00035926368,0.00021876502,0.0010362288,0.02934158,0.023590285,0.001680193,0.45185944,0.06887554,0.000200375],"about_ca_topic_score_codex":0.012735106,"about_ca_topic_score_gemma":0.02247143,"teacher_disagreement_score":0.012735106,"about_ca_system_score_codex":0.001563406,"about_ca_system_score_gemma":0.0006526218,"threshold_uncertainty_score":0.031395793},"labels":[],"label_agreement":null},{"id":"W2080692205","doi":"10.4236/ti.2012.32014","title":"Value Investing in Thailand: Evidence from the Use of PEG","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"PEG ratio; Stock exchange; Investment (military); Popularity; Econometrics; Economics; Index (typography); Value (mathematics); Financial economics; Business; Statistics; Finance; Mathematics; Computer science","score_opus":0.10774427952760864,"score_gpt":0.23804009171117638,"score_spread":0.13029581218356773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080692205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947365,0.0004264244,0.00016653011,0.0001283204,0.000003371008,0.000008905187,0.00012652691,0.0000034080686,0.0044000405],"genre_scores_gemma":[0.9988439,0.0005093775,0.000084975785,0.000020266169,0.000004548016,0.0000027545495,0.00009523682,0.000001605875,0.00043733258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993124,0.00030232727,0.000080431804,0.00005974323,0.00016329535,0.00008183293],"domain_scores_gemma":[0.98455065,0.005888171,0.0074081463,0.00055890344,0.0009894229,0.0006046791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012040071,0.00020619566,0.00011597329,0.0009501111,0.00024235364,0.00089923554,0.00027055654,0.00030709975,0.0017120203],"category_scores_gemma":[0.007730558,0.00011441091,0.00015557314,0.0015977549,0.000658127,0.0011230455,0.0006135512,0.00043703147,0.00022932405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043046428,0.00032553135,0.94516927,0.00020247775,0.0001028538,0.001757173,0.0037027898,0.000513154,0.00055577216,0.0019817632,0.00055749185,0.044701204],"study_design_scores_gemma":[0.000019337394,0.0006380222,0.9816606,0.000105888015,0.00007482521,0.001917539,0.007869148,0.0012625433,0.0012867843,0.00082227716,0.004324712,0.000018319126],"about_ca_topic_score_codex":0.0041660327,"about_ca_topic_score_gemma":0.0037287502,"teacher_disagreement_score":0.0041660327,"about_ca_system_score_codex":0.0003188927,"about_ca_system_score_gemma":0.00033518934,"threshold_uncertainty_score":0.0082835555},"labels":[],"label_agreement":null},{"id":"W2081117262","doi":"10.1142/s0219024907004597","title":"EQUILIBRIUM WITH EXCESSIVE HOLDINGS CONSTRAINT: AN APPLICATION TO DC PENSION PLANS","year":2007,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Portfolio; Welfare; Stock (firearms); Pension; Incentive; Stock market; General equilibrium theory; Market clearing; Econometrics; Monetary economics; Microeconomics; Financial economics; Context (archaeology); Finance","score_opus":0.010392675760995044,"score_gpt":0.22797920078478862,"score_spread":0.21758652502379358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081117262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3797455,0.0015515132,0.5124403,0.006867339,0.00025588533,0.0002953331,0.0012496725,0.00027143475,0.097322986],"genre_scores_gemma":[0.9492432,0.00065368216,0.029346604,0.0004247685,0.00016772472,0.00015882705,0.00018439976,0.00006253695,0.019758327],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99951386,0.0001455588,0.000022050619,0.00006936713,0.00009371946,0.00015537596],"domain_scores_gemma":[0.9979614,0.0010859453,0.00031170665,0.00015218485,0.00016290111,0.00032589032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012899872,0.00052776234,0.0011302899,0.00075475586,0.0008040005,0.0016570062,0.0011824094,0.0016373418,0.011048298],"category_scores_gemma":[0.008100543,0.00039250977,0.0012215787,0.00071359234,0.0013549061,0.0016885913,0.0021251019,0.0017634865,0.0003166521],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010339955,0.00009008061,0.0021597256,0.000119796954,0.00006255801,0.0006627322,0.00019177925,0.14035663,0.0012337585,0.8415582,0.0041284827,0.009332854],"study_design_scores_gemma":[0.00015962162,0.00008615055,0.0013543022,0.000055635603,0.00004357171,0.00020916635,0.0002763784,0.5024946,0.0005176739,0.4861207,0.008632212,0.000049952636],"about_ca_topic_score_codex":0.0116713075,"about_ca_topic_score_gemma":0.006153508,"teacher_disagreement_score":0.0116713075,"about_ca_system_score_codex":0.0017657452,"about_ca_system_score_gemma":0.00143275,"threshold_uncertainty_score":0.036960185},"labels":[],"label_agreement":null},{"id":"W2081195272","doi":"10.5539/ijef.v4n9p164","title":"Studying Liquidity Premium Pricing, Size, Value and Risk of Market in Tehran Stock Exchange","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Stock exchange; Security market line; Market liquidity; Market maker; Financial economics; Economics; Systematic risk; Risk premium; Liquidity risk; Business; Stock market; Market risk; Econometrics; Monetary economics; Finance","score_opus":0.029270729812210898,"score_gpt":0.23192623773736049,"score_spread":0.20265550792514958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081195272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992561,0.00009989357,0.0001524977,0.00011378281,0.000002472934,0.000001982625,0.000029347239,0.000003061142,0.0003407459],"genre_scores_gemma":[0.9996201,0.00007601669,0.00005444976,0.0000065175877,0.000009274214,0.000001516523,0.00005722177,7.511e-7,0.00017409606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983466,0.0000317077,0.000014044786,0.000022772127,0.00005114862,0.000045635577],"domain_scores_gemma":[0.9988865,0.0004595219,0.00041547592,0.00004164335,0.00008912878,0.00010773727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007365376,0.00027096985,0.00027222026,0.00092692743,0.00025023805,0.0009955387,0.00032556336,0.00049726706,0.0014451584],"category_scores_gemma":[0.0024896814,0.00013838043,0.00044207557,0.00066057337,0.0002645406,0.0010892702,0.00034396537,0.0005664377,0.00012316722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020628182,0.00018854174,0.97446513,0.000026473916,0.00011962245,0.0006899419,0.00053387723,0.008560074,0.00084054575,0.0027422842,0.00069184246,0.0109353885],"study_design_scores_gemma":[0.00002421994,0.00016032736,0.9254619,0.00001557111,0.00007301446,0.0002905596,0.00055221986,0.07051402,0.00038554065,0.0020573486,0.00044690797,0.000018331877],"about_ca_topic_score_codex":0.010679773,"about_ca_topic_score_gemma":0.008340024,"teacher_disagreement_score":0.010679773,"about_ca_system_score_codex":0.00069176726,"about_ca_system_score_gemma":0.00040657737,"threshold_uncertainty_score":0.021235228},"labels":[],"label_agreement":null},{"id":"W2081795914","doi":"10.5539/ijef.v4n6p63","title":"Market Sentiment Deterioration and Stock Returns: The Case of the Japanese Electric Appliances Industry","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Stock (firearms); Stock market; Financial economics; Investor behavior; Business; Behavioral economics; Economics; Monetary economics; Finance; Biology","score_opus":0.023719334386606956,"score_gpt":0.22927370407375708,"score_spread":0.20555436968715013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081795914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986224,0.00012547935,0.00034383422,0.00013436367,0.0000023087744,0.0000038322996,0.000020172098,0.0000021698631,0.00074546284],"genre_scores_gemma":[0.9997044,0.00007760026,0.00008347689,0.000010012189,0.000006809278,0.0000010946469,0.00001911925,6.29208e-7,0.00009679103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998634,0.00003096563,0.0000100472225,0.0000238796,0.000022346545,0.000049442184],"domain_scores_gemma":[0.99850947,0.000476197,0.0006394294,0.000067106586,0.00014196389,0.00016573502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072766887,0.00027166412,0.00041183317,0.00076224376,0.0005536059,0.00096837257,0.000336794,0.00077228685,0.0011203906],"category_scores_gemma":[0.003975297,0.00015707998,0.00041768016,0.00070928026,0.0007726998,0.0013949556,0.00050419464,0.00072878203,0.00008082153],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010721525,0.00041106646,0.8999157,0.00012269198,0.0002136695,0.014805543,0.0025335434,0.029602934,0.009370393,0.021416293,0.001439564,0.019096464],"study_design_scores_gemma":[0.00008389607,0.00025825697,0.7778843,0.00002185275,0.00015921998,0.0017863587,0.0026529643,0.20525622,0.0011370246,0.009640296,0.0010441818,0.00007543604],"about_ca_topic_score_codex":0.019169088,"about_ca_topic_score_gemma":0.013281778,"teacher_disagreement_score":0.019169088,"about_ca_system_score_codex":0.0005780088,"about_ca_system_score_gemma":0.00024818775,"threshold_uncertainty_score":0.038115025},"labels":[],"label_agreement":null},{"id":"W2082989496","doi":"10.1002/fut.10053","title":"Does tick size influence price discovery? Evidence from the Toronto Stock Exchange","year":2002,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; Université Laval","funders":"","keywords":"Tick size; Price discovery; Economics; Financial economics; Index (typography); Futures contract; Stock exchange; Stock index futures; Futures market; Stock market index; Index fund; Monetary economics; Econometrics; Stock market; Open-end fund; Institutional investor; Finance; Geography","score_opus":0.025244579807671447,"score_gpt":0.22121903567649867,"score_spread":0.19597445586882722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082989496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931456,0.0006831744,0.000071208364,0.0012225553,0.000021296237,0.00000940696,0.00094607985,0.0000061011715,0.0038945377],"genre_scores_gemma":[0.9978398,0.0004204735,0.00003704227,0.00006200704,0.000031502677,0.000003337208,0.0008424272,0.000004092812,0.0007593198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989749,0.00022129282,0.00010247579,0.00012520047,0.00043573958,0.00014027847],"domain_scores_gemma":[0.95556456,0.018134307,0.017515589,0.0023052876,0.0037331595,0.0027471322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022119798,0.00023678986,0.0005500606,0.0014547609,0.0012535271,0.002574605,0.00075985445,0.0008918836,0.0077729127],"category_scores_gemma":[0.025628176,0.00037485833,0.00030430272,0.0022574328,0.0011067742,0.0010788481,0.0012750408,0.0009718469,0.0007391911],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007502596,0.000088787965,0.98834735,0.00004648119,0.00017292368,0.00040775992,0.0012124846,0.00047406246,0.00040308875,0.00071472395,0.002151823,0.005230199],"study_design_scores_gemma":[0.000045957288,0.00003465606,0.9966893,0.000018433906,0.00007385407,0.00005080269,0.00080513995,0.0006062265,0.00019380062,0.00022639487,0.0012396848,0.00001572132],"about_ca_topic_score_codex":0.43567514,"about_ca_topic_score_gemma":0.53565615,"teacher_disagreement_score":0.56432486,"about_ca_system_score_codex":0.0030114844,"about_ca_system_score_gemma":0.0020471155,"threshold_uncertainty_score":0.86627847},"labels":[],"label_agreement":null},{"id":"W2083411433","doi":"10.2139/ssrn.1338664","title":"Do Investors Like to Diversify? A Study of Markowitz Preferences","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Business; Economics; Financial economics","score_opus":0.021581338187773608,"score_gpt":0.2188598801059015,"score_spread":0.19727854191812788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083411433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98279655,0.00072515704,0.0037206355,0.001972076,0.000017464778,0.000015787731,0.00002997548,0.000005774529,0.010716595],"genre_scores_gemma":[0.99845695,0.0002338333,0.00035189444,0.00013538214,0.000025649826,0.0000042226447,0.0000111943,0.00000165855,0.0007792841],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993887,0.0003361498,0.000025893689,0.00005854653,0.00008937298,0.000101425176],"domain_scores_gemma":[0.98401874,0.010578732,0.003171458,0.000721402,0.0004482167,0.0010615023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003943294,0.00024972632,0.00052411127,0.00043716145,0.0005049401,0.0018326429,0.00047735762,0.0012152201,0.0034259357],"category_scores_gemma":[0.019612858,0.00016319653,0.0003399777,0.0005015346,0.0010067971,0.0023368485,0.0005066937,0.0014111076,0.0003003127],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046722544,0.0012510156,0.35343662,0.00032399397,0.00088900834,0.0016072154,0.0058468133,0.023393031,0.0052169664,0.4265882,0.0053407443,0.1714341],"study_design_scores_gemma":[0.0006109564,0.0020895915,0.19206047,0.00015817687,0.00042086918,0.0013297923,0.011795027,0.091255635,0.0030609323,0.68674165,0.0103041595,0.00017272783],"about_ca_topic_score_codex":0.00043921758,"about_ca_topic_score_gemma":0.0005636305,"teacher_disagreement_score":0.003943294,"about_ca_system_score_codex":0.00043904866,"about_ca_system_score_gemma":0.0002524422,"threshold_uncertainty_score":0.020854354},"labels":[],"label_agreement":null},{"id":"W2083514307","doi":"10.1093/rfs/hhp114","title":"Insider Trades and Demand by Institutional and Individual Investors","year":2010,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Insider; Insider trading; Market liquidity; Institutional investor; Valuation (finance); Business; Quarter (Canadian coin); Monetary economics; Economics; Financial economics; Accounting; Finance; Corporate governance; Law","score_opus":0.05695464823799979,"score_gpt":0.2583332073098081,"score_spread":0.2013785590718083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083514307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965946,0.0006698451,0.0002263209,0.00013936726,0.000003924477,0.0000034566733,0.00019962639,0.0000042073543,0.0021586397],"genre_scores_gemma":[0.9983125,0.00042174562,0.0000727693,0.000014780229,0.000030454645,0.0000024105798,0.0002240076,0.000002049922,0.0009192341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964523,0.00008423958,0.00005008257,0.00007040791,0.000089760266,0.000060290706],"domain_scores_gemma":[0.9851457,0.0049433657,0.008125413,0.00057316734,0.00046544612,0.000746903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079191587,0.00012667313,0.00032978813,0.00076059846,0.00019769576,0.0013371578,0.00022751794,0.00045913388,0.0049801283],"category_scores_gemma":[0.0052267835,0.00014309112,0.00032894002,0.00093268184,0.00024474913,0.0011467399,0.00036609953,0.00032585743,0.0005847594],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035774193,0.00011782561,0.9761905,0.00006442319,0.00014889271,0.0004971482,0.00030783014,0.0011918875,0.002026197,0.0011408387,0.00039070184,0.017566133],"study_design_scores_gemma":[0.00001709051,0.00012885536,0.9919849,0.000031301588,0.00006332206,0.0006065304,0.0008460811,0.0025734373,0.00055648875,0.0018028114,0.0013722511,0.000016968495],"about_ca_topic_score_codex":0.0013156303,"about_ca_topic_score_gemma":0.0019770071,"teacher_disagreement_score":0.0049801283,"about_ca_system_score_codex":0.00034096465,"about_ca_system_score_gemma":0.00013679966,"threshold_uncertainty_score":0.016660154},"labels":[],"label_agreement":null},{"id":"W2083759287","doi":"10.5539/ijef.v7n1p216","title":"The Capital Asset Pricing Model: An Overview of the Theory","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Diversification (marketing strategy); Economics; Risk-free interest rate; Market portfolio; Arbitrage pricing theory; Portfolio; Investment theory; Financial economics; Modern portfolio theory; Consumption-based capital asset pricing model; Security market line; Business; Stock market; Context (archaeology)","score_opus":0.03823512594950561,"score_gpt":0.24366185723980682,"score_spread":0.2054267312903012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083759287","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007809411,0.3633894,0.42186,0.032082435,0.0025595324,0.00016610914,0.0008244998,0.000281604,0.17102696],"genre_scores_gemma":[0.32525113,0.5129978,0.10820755,0.0066968035,0.013956688,0.00047923948,0.000904771,0.00022954779,0.031276423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990839,0.0003529687,0.000056227782,0.00014271251,0.0002905627,0.00007366262],"domain_scores_gemma":[0.99853384,0.0010113578,0.000095339274,0.00009857886,0.00020020147,0.000060684382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020736232,0.0011914569,0.0014422986,0.0018995075,0.0008276051,0.004830923,0.0020397457,0.0034303425,0.0045947097],"category_scores_gemma":[0.0038596417,0.00068296026,0.0010370101,0.0040225945,0.0031064586,0.006573865,0.001298839,0.004739427,0.0016501687],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007797217,0.00003434524,0.00031162216,0.0001669128,0.000014421126,0.00007849919,0.00007738624,0.0079454025,0.000073431926,0.9627661,0.007194185,0.021329911],"study_design_scores_gemma":[0.0000068345785,0.00002155915,0.00027226473,0.00022316468,0.000012426974,0.00014733737,0.000038399015,0.017060982,0.00006298642,0.91214854,0.069981426,0.000024128552],"about_ca_topic_score_codex":0.0045463964,"about_ca_topic_score_gemma":0.001302671,"teacher_disagreement_score":0.004830923,"about_ca_system_score_codex":0.002845302,"about_ca_system_score_gemma":0.002454076,"threshold_uncertainty_score":0.020644188},"labels":[],"label_agreement":null},{"id":"W2084148842","doi":"10.1080/14697680802595676","title":"Some applications of<i>M</i>-ary detection in quantitative finance","year":2009,"lang":"en","type":"article","venue":"Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mathematical finance; Economics; Financial economics; Econometrics; Finance","score_opus":0.037670845458541984,"score_gpt":0.2657670676487361,"score_spread":0.2280962221901941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084148842","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016183548,0.0037378983,0.954433,0.0042286753,0.0005267595,0.00006223514,0.00013648691,0.00027413332,0.02041727],"genre_scores_gemma":[0.519725,0.003399736,0.4533305,0.0020336888,0.0032355846,0.000229316,0.00025802196,0.00018896024,0.017599083],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966904,0.0018036157,0.00019200936,0.0004724759,0.000633479,0.00020800917],"domain_scores_gemma":[0.9807782,0.01534173,0.00085237925,0.0013540862,0.0013175672,0.0003561082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006073039,0.0010107831,0.001258272,0.0026303579,0.0012331294,0.0034802263,0.0025265815,0.0038032637,0.005641443],"category_scores_gemma":[0.029783212,0.00080178474,0.0014478831,0.0030233155,0.004430199,0.003509892,0.0028995133,0.0025026987,0.0008028991],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006147623,0.000045824105,0.001015934,0.00009667014,0.000024849047,0.00015824485,0.00013207611,0.007635633,0.0015844372,0.94599086,0.0029317474,0.040322285],"study_design_scores_gemma":[0.000020843278,0.000029487283,0.0004801215,0.000040846306,0.000011308047,0.00019798763,0.00004518946,0.12864554,0.0015275957,0.8631576,0.0058101914,0.00003332462],"about_ca_topic_score_codex":0.001271241,"about_ca_topic_score_gemma":0.000757154,"teacher_disagreement_score":0.006073039,"about_ca_system_score_codex":0.0012977133,"about_ca_system_score_gemma":0.000768539,"threshold_uncertainty_score":0.032117724},"labels":[],"label_agreement":null},{"id":"W2084353633","doi":"10.1108/10867371211203819","title":"Consumption hedging and home‐country bias in a model of international capital market equilibrium","year":2012,"lang":"en","type":"article","venue":"Studies in Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Economics; Portfolio; Capital market line; Capital asset pricing model; Market portfolio; Hedge; Security market line; Consumption (sociology); Econometrics; Financial economics; Microeconomics; Stock market; Context (archaeology); Market depth","score_opus":0.07432110772865139,"score_gpt":0.25944153841849266,"score_spread":0.18512043068984127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084353633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5051198,0.00048284547,0.44247052,0.002203977,0.000060037386,0.00008353868,0.00032257644,0.00017943855,0.049077254],"genre_scores_gemma":[0.9826681,0.00017271211,0.0078024943,0.0000669609,0.00001714193,0.000040094565,0.000052145515,0.000018544624,0.009161796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997491,0.00012038889,0.000009404466,0.000046681285,0.000030765772,0.000043597145],"domain_scores_gemma":[0.999451,0.00024501342,0.00014907603,0.00004749748,0.000054047705,0.000053369346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010379717,0.00036834044,0.00057324144,0.0003565227,0.00034615656,0.0016499128,0.00080629875,0.0010163084,0.0036268907],"category_scores_gemma":[0.0025373283,0.00027149584,0.00064550684,0.0004295435,0.0008420167,0.0015639226,0.0007850096,0.00087370607,0.0002669216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006878662,0.00005432241,0.002522062,0.000023464125,0.00003662827,0.00025268085,0.00016350142,0.5497586,0.00064779515,0.44002652,0.00091936893,0.0055262805],"study_design_scores_gemma":[0.00002614613,0.000032813645,0.0007678303,0.000007569671,0.000012311913,0.000048321148,0.00003938407,0.91342914,0.00011746054,0.08476624,0.0007401746,0.000012524572],"about_ca_topic_score_codex":0.0064118933,"about_ca_topic_score_gemma":0.002934666,"teacher_disagreement_score":0.0064118933,"about_ca_system_score_codex":0.0011104636,"about_ca_system_score_gemma":0.00058609294,"threshold_uncertainty_score":0.0127491355},"labels":[],"label_agreement":null},{"id":"W2084449473","doi":"10.1016/j.cor.2004.06.001","title":"A simple computational model for analyzing the properties of stop-loss, take-profit, and price breakout trading strategies","year":2004,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Breakout; Probabilistic logic; Profit (economics); Simple (philosophy); Computer science; Mathematical optimization; Operations research; Econometrics; Microeconomics; Economics; Mathematics; Finance; Artificial intelligence","score_opus":0.13922570519395813,"score_gpt":0.31661695981557963,"score_spread":0.1773912546216215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084449473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18842274,0.00014195801,0.79859704,0.0013424302,0.000068929876,0.0001482874,0.0007311272,0.00068900496,0.00985845],"genre_scores_gemma":[0.90528196,0.00014786136,0.08761955,0.00017914342,0.00006147365,0.00025663877,0.00040827369,0.00007872901,0.005966293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996147,0.00010795821,0.000020374397,0.000090871785,0.0000794511,0.00008662377],"domain_scores_gemma":[0.99573505,0.0031822883,0.00028020432,0.00043455634,0.00019099911,0.0001768152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009475639,0.0005691976,0.0010985652,0.0006638036,0.0006177436,0.0020076174,0.002045251,0.0018346886,0.007877836],"category_scores_gemma":[0.008610206,0.0004747425,0.00088315527,0.00086322933,0.0009146542,0.0031478922,0.0008609647,0.0015537789,0.00054905016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025054402,0.0002331804,0.002206344,0.0000528987,0.00006433686,0.00022601978,0.00010570023,0.740306,0.0024256373,0.23663247,0.0024505032,0.015046401],"study_design_scores_gemma":[0.000021234246,0.000011581172,0.00011496281,0.0000012016477,0.000006680428,0.000017809447,0.0000050926187,0.96715397,0.0001162277,0.03238705,0.00015915938,0.000005003691],"about_ca_topic_score_codex":0.005327281,"about_ca_topic_score_gemma":0.004499315,"teacher_disagreement_score":0.007877836,"about_ca_system_score_codex":0.0010212015,"about_ca_system_score_gemma":0.001671966,"threshold_uncertainty_score":0.026353955},"labels":[],"label_agreement":null},{"id":"W2085721591","doi":"10.1016/j.jbankfin.2010.08.022","title":"Options, short-sale constraints and market efficiency: A new perspective","year":2010,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Endogeneity; Economics; Market efficiency; Optimism; Private information retrieval; Constraint (computer-aided design); Microeconomics; Financial economics; Econometrics","score_opus":0.01892888342396393,"score_gpt":0.2316913877853,"score_spread":0.21276250436133606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085721591","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09761598,0.23978452,0.3173959,0.119872086,0.0019997128,0.00005269746,0.0008050096,0.0001085119,0.2223655],"genre_scores_gemma":[0.86093146,0.08018905,0.022949602,0.0045816735,0.011328261,0.00006825976,0.00016474382,0.0000850356,0.019701874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992532,0.00028829923,0.000051831466,0.00013727379,0.00018389139,0.000085453685],"domain_scores_gemma":[0.9920676,0.0064379317,0.000519589,0.0003207372,0.0004124156,0.0002418319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024384882,0.0011751491,0.001820229,0.0014839139,0.0006771723,0.007630134,0.002043146,0.0046708295,0.0093511315],"category_scores_gemma":[0.007119622,0.00071973604,0.001118777,0.0018365749,0.005854211,0.017913545,0.0016736089,0.0056926347,0.00057947583],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003077401,0.000043320106,0.00038171266,0.00010064104,0.000038265753,0.000089330606,0.000074965305,0.00605333,0.0002226818,0.9829106,0.0023332024,0.007721239],"study_design_scores_gemma":[0.000012232572,0.000018580844,0.00031205782,0.000050640072,0.000015194877,0.000053013282,0.000082508435,0.008605961,0.000047152516,0.9848691,0.0059197196,0.000013840714],"about_ca_topic_score_codex":0.0015133296,"about_ca_topic_score_gemma":0.001615072,"teacher_disagreement_score":0.0093511315,"about_ca_system_score_codex":0.0016513946,"about_ca_system_score_gemma":0.0010445028,"threshold_uncertainty_score":0.031282663},"labels":[],"label_agreement":null},{"id":"W2085791005","doi":"10.1080/0960310042000339749","title":"Recursive measures of total wealth and portfolio return","year":2005,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Portfolio; Economics; Rate of return on a portfolio; Econometrics; Value (mathematics); Aggregate (composite); Portfolio optimization; Microeconomics; Financial economics; Mathematical economics; Mathematics; Statistics","score_opus":0.022527002582903115,"score_gpt":0.19445318220391242,"score_spread":0.1719261796210093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085791005","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05500692,0.0001764582,0.9412201,0.000078585115,0.000024787,0.000110196546,0.00032246037,0.00043366078,0.002626905],"genre_scores_gemma":[0.5999123,0.00041677654,0.3956256,0.00004845979,0.00006482992,0.00043385813,0.001031866,0.00021052331,0.0022557548],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99863666,0.0005306007,0.00007899232,0.00016861677,0.0004930428,0.000091921436],"domain_scores_gemma":[0.9898009,0.0062807617,0.0011363325,0.0014849708,0.0011659327,0.00013118319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029934722,0.0005918003,0.0005815349,0.0022200444,0.00030415508,0.0012055822,0.0010450906,0.0006985442,0.0029896123],"category_scores_gemma":[0.031486552,0.00032752028,0.000647755,0.0011822399,0.0006713876,0.002322728,0.00091820676,0.0010283109,0.0005457891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120929806,0.00016181501,0.017260976,0.0001546263,0.00019398311,0.00016984782,0.00032431516,0.3525211,0.004680757,0.37737164,0.0025098627,0.24453028],"study_design_scores_gemma":[0.000034831908,0.00015236314,0.010789285,0.00006605618,0.000054154443,0.00019240327,0.00004052141,0.82059515,0.004754222,0.15913518,0.0041159964,0.00006985425],"about_ca_topic_score_codex":0.0012211686,"about_ca_topic_score_gemma":0.0014838412,"teacher_disagreement_score":0.0029934722,"about_ca_system_score_codex":0.00060079346,"about_ca_system_score_gemma":0.00061343244,"threshold_uncertainty_score":0.015831232},"labels":[],"label_agreement":null},{"id":"W2085826773","doi":"10.2139/ssrn.1516069","title":"Excess Cash and Mutual Fund Performance","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mutual fund; Business; Cash; Finance; Financial system","score_opus":0.04478419795420578,"score_gpt":0.20303020336462543,"score_spread":0.15824600541041967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085826773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99812955,0.00023878044,0.00011710116,0.00023209082,0.000006840584,0.0000010888734,0.00006584497,0.000007518897,0.0012011869],"genre_scores_gemma":[0.99924797,0.000060294744,0.00002330485,0.000009881558,0.00001947912,7.005861e-7,0.00006017767,0.0000013572347,0.0005767854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996153,0.00015538002,0.000042519914,0.000039544764,0.00006158926,0.000085627435],"domain_scores_gemma":[0.98022664,0.009379309,0.0070202164,0.0005854344,0.00059854134,0.0021898847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001910155,0.00021171996,0.00022502744,0.00085546693,0.0002660453,0.0021344034,0.00027742036,0.00094101514,0.004532595],"category_scores_gemma":[0.020138247,0.00013278452,0.00018364619,0.00060683116,0.0005219511,0.0019198377,0.00081305776,0.0007605441,0.0006400168],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019550151,0.0003147126,0.9635816,0.000045641547,0.0002151849,0.0003546644,0.0003477812,0.008319241,0.0005088142,0.008816605,0.0012521931,0.014288499],"study_design_scores_gemma":[0.00011520217,0.0007842696,0.95044225,0.000050462437,0.00021856738,0.00071956404,0.0010906785,0.018087579,0.0008390354,0.025525237,0.0020678856,0.00005933076],"about_ca_topic_score_codex":0.0012230218,"about_ca_topic_score_gemma":0.0015158433,"teacher_disagreement_score":0.004532595,"about_ca_system_score_codex":0.00054964656,"about_ca_system_score_gemma":0.00028497376,"threshold_uncertainty_score":0.015163064},"labels":[],"label_agreement":null},{"id":"W2086483651","doi":"10.2139/ssrn.768484","title":"Lazy Investors, Discretionary Consumption, and the Cross Section of Stock Returns","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Stock (firearms); Economics; Consumption (sociology); Capital asset pricing model; Econometrics; Financial economics; Quarter (Canadian coin); Point (geometry); Investment (military); Excess return; Suspect; Monetary economics; Mathematics; Engineering","score_opus":0.01323078530985587,"score_gpt":0.2131276965213437,"score_spread":0.19989691121148784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086483651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962723,0.00066743465,0.0012931958,0.00041647232,0.000008549091,0.000005391037,0.00005741338,0.000015757723,0.0012634391],"genre_scores_gemma":[0.99839383,0.000263522,0.00010111706,0.000031875414,0.000037524045,0.0000023653677,0.00005269219,0.000004303251,0.0011128712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973744,0.00006535692,0.000027682545,0.000050809085,0.00003875136,0.00007998378],"domain_scores_gemma":[0.97930336,0.010697621,0.006883441,0.0010742329,0.00034709793,0.0016942342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002408614,0.00023693392,0.0005615256,0.0009204605,0.00046995856,0.0023816559,0.00048560972,0.0013912573,0.0045330664],"category_scores_gemma":[0.012799464,0.00034105615,0.00036787105,0.0008492154,0.0012206748,0.0022639504,0.00079391524,0.0011735656,0.00041329482],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010106944,0.00030704908,0.9425476,0.00005608854,0.0003879088,0.0007211399,0.00071882835,0.008972493,0.0020282,0.024235334,0.00086043566,0.018154146],"study_design_scores_gemma":[0.00010959151,0.0002445731,0.90893567,0.000030938485,0.00023371895,0.0005578934,0.00069708383,0.026918545,0.00073094876,0.060657986,0.0008137158,0.00006939855],"about_ca_topic_score_codex":0.004031639,"about_ca_topic_score_gemma":0.006428069,"teacher_disagreement_score":0.0045330664,"about_ca_system_score_codex":0.00070142664,"about_ca_system_score_gemma":0.00030966374,"threshold_uncertainty_score":0.015164554},"labels":[],"label_agreement":null},{"id":"W2086950964","doi":"10.3386/w16454","title":"Decoding Inside Information","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":239,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Decoding methods; Computer science; Telecommunications","score_opus":0.38155322304939515,"score_gpt":0.455063875115755,"score_spread":0.07351065206635987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086950964","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24756832,0.0009298695,0.70444936,0.0033192884,0.00037292988,0.00012477489,0.0037381027,0.0011939743,0.03830345],"genre_scores_gemma":[0.92657095,0.00061555824,0.059358243,0.00044750288,0.00033205104,0.00008327284,0.0023492507,0.00017636729,0.010066885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874157,0.00033629753,0.00007113979,0.00032018052,0.0003655119,0.00016524385],"domain_scores_gemma":[0.9919884,0.00453504,0.0008571048,0.0018254534,0.0006120985,0.00018197545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018531475,0.0011640264,0.0012164563,0.0015408128,0.00058414217,0.003023948,0.00088451785,0.0012673531,0.0060444507],"category_scores_gemma":[0.022551747,0.0004924346,0.00070318126,0.0014437876,0.0010532903,0.0043958393,0.001699774,0.0017517322,0.0016508067],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078196515,0.00028576428,0.040574502,0.00026429805,0.0003038951,0.00088754436,0.0008501035,0.11101438,0.013827784,0.44493318,0.017102867,0.36917374],"study_design_scores_gemma":[0.00004739101,0.00012337945,0.009602423,0.000094168405,0.00008905489,0.000445688,0.0002189097,0.50959504,0.0132093625,0.45433992,0.012147146,0.000087466935],"about_ca_topic_score_codex":0.0018541358,"about_ca_topic_score_gemma":0.0017329232,"teacher_disagreement_score":0.0060444507,"about_ca_system_score_codex":0.00068105495,"about_ca_system_score_gemma":0.0009434839,"threshold_uncertainty_score":0.020220697},"labels":[],"label_agreement":null},{"id":"W2087156255","doi":"10.2139/ssrn.1983639","title":"International Portfolio Selection with Exchange Risk: A Behavioural Portfolio Theory Perspective","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Portfolio; Modern portfolio theory; Perspective (graphical); Selection (genetic algorithm); Post-modern portfolio theory; Application portfolio management; Financial economics; Economics; Portfolio optimization; Actuarial science; Replicating portfolio; Project portfolio management; Computer science; Artificial intelligence; Management","score_opus":0.015770058514965612,"score_gpt":0.2203663540771146,"score_spread":0.204596295562149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087156255","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2678156,0.0035575957,0.65395904,0.010601825,0.00026765597,0.00009280166,0.00016771918,0.00008842345,0.06344945],"genre_scores_gemma":[0.9663535,0.0022568526,0.018920224,0.00041442155,0.0003620916,0.00006095702,0.000084600826,0.000022561326,0.011524946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987012,0.0007491651,0.00004963875,0.00015496918,0.00020230227,0.00014266057],"domain_scores_gemma":[0.995546,0.0029552672,0.0006208904,0.00025251394,0.0002986448,0.0003266673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031209355,0.00091016095,0.0011834042,0.0010534745,0.0004035625,0.0035290045,0.0017460397,0.0027283435,0.0046709604],"category_scores_gemma":[0.009465577,0.00040963286,0.0009431838,0.0013791149,0.0022016075,0.0050335266,0.0015726194,0.002034968,0.00034956806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029799103,0.00007068527,0.0035504154,0.00005017349,0.000105117855,0.00017460571,0.00015362255,0.043367926,0.00046025123,0.94108874,0.00058812794,0.010360685],"study_design_scores_gemma":[0.000023453407,0.00006285316,0.0021463027,0.000022639226,0.00003608834,0.00010356915,0.00011168621,0.13367964,0.000089313704,0.8629843,0.0007199972,0.000020183346],"about_ca_topic_score_codex":0.0011299152,"about_ca_topic_score_gemma":0.00088956405,"teacher_disagreement_score":0.0046709604,"about_ca_system_score_codex":0.00090870226,"about_ca_system_score_gemma":0.00064598065,"threshold_uncertainty_score":0.016505241},"labels":[],"label_agreement":null},{"id":"W2087318250","doi":"10.1007/s11293-010-9230-6","title":"Hedge Fund Returns, Kalman Filter, and Errors-in-Variables","year":2010,"lang":"en","type":"article","venue":"Atlantic Economic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais","funders":"","keywords":"Economics; Kalman filter; Hedge fund; Public finance; Econometrics; Financial economics; Finance; Mathematics; Macroeconomics; Statistics","score_opus":0.03252242137749065,"score_gpt":0.22571767350638255,"score_spread":0.1931952521288919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087318250","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2822509,0.011710915,0.6916205,0.004582663,0.00058540114,0.000049188202,0.0007416311,0.0005718758,0.007886931],"genre_scores_gemma":[0.95846146,0.0056542642,0.021794047,0.00020155372,0.0005140345,0.000036553178,0.0006947627,0.00009875892,0.012544551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833006,0.00054748193,0.00012891214,0.00048421623,0.00025057042,0.00025883128],"domain_scores_gemma":[0.9612183,0.031266756,0.004094923,0.0014359268,0.0016248549,0.00035917753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008952822,0.0012112851,0.0021758347,0.0015111053,0.0007455621,0.0041886456,0.0015832576,0.0028574497,0.0034206128],"category_scores_gemma":[0.05887799,0.0009983021,0.00096766383,0.0025080352,0.0019322314,0.007792642,0.0011920398,0.003265032,0.00051717856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000612601,0.00015111711,0.034468498,0.00024742598,0.0006780626,0.0003313683,0.00040902002,0.5766194,0.0005856838,0.29811943,0.005004364,0.08277307],"study_design_scores_gemma":[0.00006808502,0.000073227864,0.0075339326,0.000057818008,0.00017844445,0.00007914642,0.00008420506,0.7780258,0.00052806386,0.21185696,0.0014375882,0.0000766706],"about_ca_topic_score_codex":0.032072008,"about_ca_topic_score_gemma":0.020336494,"teacher_disagreement_score":0.032072008,"about_ca_system_score_codex":0.0016813547,"about_ca_system_score_gemma":0.001870424,"threshold_uncertainty_score":0.06377065},"labels":[],"label_agreement":null},{"id":"W2087441867","doi":"10.1016/j.cor.2006.02.019","title":"Portfolio performance sensitivity for various asset-pricing kernels","year":2006,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Brock University","funders":"Brock University","keywords":"Portfolio; Capital asset pricing model; Benchmark (surveying); Stochastic discount factor; Econometrics; Computer science; Market liquidity; Sorting; Portfolio optimization; Kernel (algebra); Economics; Financial economics; Mathematics; Finance; Algorithm","score_opus":0.0755154034396455,"score_gpt":0.29869294004651836,"score_spread":0.22317753660687287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087441867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92473596,0.0010812221,0.06895809,0.00038446145,0.00006510885,0.000040007184,0.00034379357,0.0005493581,0.003841977],"genre_scores_gemma":[0.9972983,0.000117130025,0.0021208345,0.000025674728,0.000013756513,0.0000041748044,0.00014830533,0.00003175535,0.00024020253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986682,0.00047335814,0.000096648844,0.0002075312,0.0003307842,0.00022345658],"domain_scores_gemma":[0.96251553,0.031652078,0.0017780233,0.0021309226,0.001390247,0.0005332437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061307717,0.00050526654,0.0006314531,0.0016648156,0.00023886329,0.0014417211,0.00053012004,0.0011356442,0.0021328158],"category_scores_gemma":[0.042930212,0.0002980863,0.00079837913,0.0010158418,0.00051508524,0.0020800063,0.0011336182,0.0009679828,0.0002489238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020873004,0.00027760348,0.014905263,0.00032181016,0.00035503588,0.0004135968,0.00017656223,0.8944865,0.020532176,0.019163726,0.0015192642,0.045761168],"study_design_scores_gemma":[0.000032786833,0.00014345004,0.012270419,0.000023447072,0.000106988926,0.0002734704,0.00003292621,0.9705207,0.009409214,0.0069997497,0.00013374074,0.000053162486],"about_ca_topic_score_codex":0.0010600636,"about_ca_topic_score_gemma":0.00048528603,"teacher_disagreement_score":0.0061307717,"about_ca_system_score_codex":0.0007356896,"about_ca_system_score_gemma":0.000345442,"threshold_uncertainty_score":0.03242302},"labels":[],"label_agreement":null},{"id":"W2088365442","doi":"10.1108/17439130910969710","title":"A cross‐section analysis of financial market integration in North America using a four factor model","year":2009,"lang":"en","type":"article","venue":"International Journal of Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Université de Montréal; Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"","keywords":"Explanatory power; Economics; Financial integration; Financial economics; Portfolio; Stock (firearms); Arbitrage; Market integration; Financial market; Context (archaeology); Econometrics; Finance; Macroeconomics; Geography","score_opus":0.03399039773820949,"score_gpt":0.2592992492195119,"score_spread":0.22530885148130242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088365442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723935,0.00022895272,0.0011036836,0.000098939454,0.000005323772,0.000009564192,0.0001308105,0.000015433254,0.0011679579],"genre_scores_gemma":[0.9981501,0.00014635282,0.000623629,0.000019423604,0.000010087611,0.000008934358,0.0003472945,0.000004575687,0.00068952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960536,0.00012819759,0.000017931558,0.00010518278,0.000056416324,0.000086993925],"domain_scores_gemma":[0.9979773,0.00081489235,0.0005792511,0.00015764945,0.00026121468,0.00020962083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014762306,0.00031002826,0.00040569558,0.0015759713,0.0005043806,0.001146675,0.0003794245,0.00031278096,0.0028441632],"category_scores_gemma":[0.0032137595,0.00024976395,0.00089827605,0.0017935904,0.0003485476,0.00068340794,0.0006308835,0.00049715635,0.00018729796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020277005,0.0001458673,0.9454683,0.000031984815,0.0010176583,0.0005257968,0.00064925477,0.02460057,0.0007230034,0.0026022154,0.0011802285,0.022852346],"study_design_scores_gemma":[0.000013489523,0.00011782147,0.9407535,0.000021383896,0.0002818547,0.00012201731,0.00083117845,0.05466396,0.00022489637,0.0010759397,0.0018693212,0.000024522908],"about_ca_topic_score_codex":0.17286581,"about_ca_topic_score_gemma":0.10455285,"teacher_disagreement_score":0.17286581,"about_ca_system_score_codex":0.0015468413,"about_ca_system_score_gemma":0.0010810338,"threshold_uncertainty_score":0.34371924},"labels":[],"label_agreement":null},{"id":"W2089464823","doi":"10.1109/ispa.2012.22","title":"Portfolio Management Using Particle Swarm Optimization on GPU","year":2012,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Particle swarm optimization; Computer science; Portfolio; Mathematical optimization; Valuation of options; Black–Scholes model; Portfolio optimization; Generality; Finance; Economics; Algorithm; Mathematics","score_opus":0.05750574137857096,"score_gpt":0.23337596235604582,"score_spread":0.17587022097747487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089464823","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05453298,0.00043701005,0.93139553,0.00038867662,0.00013041416,0.00007249033,0.000121240744,0.002977323,0.009944297],"genre_scores_gemma":[0.50063837,0.00030385074,0.49471217,0.00010974739,0.0000457053,0.00016159598,0.00025078017,0.0001898057,0.0035880522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978274,0.00006997001,0.000015760943,0.000030107794,0.00008214995,0.000019294934],"domain_scores_gemma":[0.9995579,0.0001755614,0.000038642553,0.00006877274,0.00012865593,0.000030387722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005013367,0.00056198094,0.00078293425,0.0006105271,0.00040178484,0.0009854002,0.000794214,0.00074176915,0.0023995622],"category_scores_gemma":[0.0015054094,0.00033897685,0.0005129969,0.0007965724,0.00029719956,0.000746077,0.00056667964,0.00066139863,0.0004992059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056728702,0.000050610204,0.000985479,0.000034147914,0.000052369698,0.00006018668,0.000042975797,0.9243358,0.002635183,0.0045294156,0.001971631,0.0652455],"study_design_scores_gemma":[0.0000065233694,0.0000052035875,0.000052463085,0.0000010710279,0.0000021927747,0.0000033515632,0.0000025145657,0.99848795,0.00023693229,0.0007775089,0.00042269015,0.0000015140602],"about_ca_topic_score_codex":0.009984136,"about_ca_topic_score_gemma":0.006145258,"teacher_disagreement_score":0.009984136,"about_ca_system_score_codex":0.0006067233,"about_ca_system_score_gemma":0.0007800084,"threshold_uncertainty_score":0.019852042},"labels":[],"label_agreement":null},{"id":"W2089760519","doi":"10.1016/s0123-5923(10)70110-8","title":"EVIDENCIA DE LA GERENCIA ACTIVA DE LOS PORTAFOLIOS DE LOS FONDOS VOLUNTARIOS DE PENSIONES EN COLOMBIA: UN ANÁLISIS DE DESEMPEÑO UTILIZANDO ETFS PROXY (Artículo publicado en inglés)","year":2010,"lang":"en","type":"article","venue":"Estudios Gerenciales","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Pension; Business; Welfare economics; Finance; Economics","score_opus":0.01808807174116604,"score_gpt":0.2598813013868821,"score_spread":0.24179322964571606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089760519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838612,0.004653391,0.00022955307,0.00048700516,0.000017566897,0.000016282896,0.00044355096,0.000005340318,0.010286119],"genre_scores_gemma":[0.9972566,0.0014992888,0.00011367767,0.000019342582,0.00002516088,0.000005047219,0.0001816635,0.0000015933466,0.00089768827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995028,0.00011318613,0.000042442047,0.0000775892,0.00016880549,0.00009521679],"domain_scores_gemma":[0.9928116,0.0023319682,0.003758887,0.00022451238,0.00058652734,0.00028646286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013199006,0.00018322554,0.00020515981,0.0016131595,0.00034975205,0.0021702214,0.0003517054,0.00037802962,0.002645193],"category_scores_gemma":[0.0068609277,0.000098959186,0.00014669038,0.0013613825,0.00050510495,0.0008966709,0.0008069898,0.0003254417,0.00014177684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044518049,0.00006473426,0.9095955,0.0006452916,0.00011202851,0.00049563235,0.0054639224,0.00041050804,0.001025138,0.004947686,0.0021098885,0.0746845],"study_design_scores_gemma":[0.000011595537,0.00004660522,0.9820807,0.0001465751,0.00008260259,0.00018100058,0.0048439726,0.00040405162,0.00030449228,0.00037215208,0.011514922,0.000011364677],"about_ca_topic_score_codex":0.049010113,"about_ca_topic_score_gemma":0.065541156,"teacher_disagreement_score":0.049010113,"about_ca_system_score_codex":0.0011737646,"about_ca_system_score_gemma":0.0006190313,"threshold_uncertainty_score":0.09744966},"labels":[],"label_agreement":null},{"id":"W2090937431","doi":"10.1007/s11408-014-0241-1","title":"Fund performance and subsequent risk: a study of mutual fund tournaments using holdings-based measures","year":2015,"lang":"en","type":"article","venue":"Financial markets and portfolio management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université du Québec à Montréal","funders":"","keywords":"Rate of return on a portfolio; Mutual fund; Economics; Volatility (finance); Portfolio; Standard deviation; Target date fund; Econometrics; Financial economics; Absolute return; Risk–return spectrum; Tournament; Closed-end fund; Equity (law); Modern portfolio theory; Open-end fund; Investment performance; Monetary economics; Finance; Institutional investor; Mathematics; Microeconomics; Statistics; Return on investment","score_opus":0.10045346080367139,"score_gpt":0.25408725530142073,"score_spread":0.15363379449774933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090937431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99872774,0.00010969022,0.00041518788,0.000043858367,0.0000037281497,0.000008009644,0.00002895068,0.000004484613,0.0006583548],"genre_scores_gemma":[0.9994344,0.00003126626,0.00012282284,0.0000064000546,0.000007819898,0.0000057306775,0.000055474637,0.000001931808,0.0003340559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979067,0.0013215406,0.000089070134,0.00020491437,0.00022701776,0.00025082988],"domain_scores_gemma":[0.9521231,0.02987084,0.010739302,0.0018390362,0.0011551505,0.0042726304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060939454,0.00036478232,0.00054032716,0.0011734522,0.00078234466,0.0027418048,0.00094567495,0.0011069055,0.0027381892],"category_scores_gemma":[0.040035352,0.00018828025,0.0005499908,0.0016151714,0.0010524617,0.001570626,0.0012171586,0.0012266652,0.00023445101],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011004535,0.0007611636,0.9743536,0.00002504223,0.00040396457,0.00016515929,0.00091641257,0.0042462675,0.00040874665,0.0044255713,0.00030207055,0.012891503],"study_design_scores_gemma":[0.000086245374,0.0014355722,0.9447899,0.000025631873,0.00024111329,0.0002826855,0.001800938,0.04389699,0.00039109314,0.0061194063,0.00087009266,0.0000603748],"about_ca_topic_score_codex":0.0045903022,"about_ca_topic_score_gemma":0.0053649754,"teacher_disagreement_score":0.0060939454,"about_ca_system_score_codex":0.0008484983,"about_ca_system_score_gemma":0.00036925016,"threshold_uncertainty_score":0.03222829},"labels":[],"label_agreement":null},{"id":"W2090968793","doi":"10.1016/s0378-4266(02)00410-7","title":"Are all Central Bank interventions created equal? An empirical investigation","year":2003,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Deutsche Bundesbank; Northwestern University","keywords":"Psychological intervention; Profitability index; Foreign exchange market; Economics; Central bank; Foreign exchange; Business; Monetary economics; Monetary policy; Finance; Psychology","score_opus":0.10680315308486164,"score_gpt":0.29410528680180054,"score_spread":0.18730213371693888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090968793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9517587,0.007596349,0.0018741229,0.0050351988,0.00016129638,0.00023404717,0.00059114036,0.00005123757,0.032697964],"genre_scores_gemma":[0.9963547,0.00084091874,0.00023749589,0.00055422675,0.00012114184,0.00006889275,0.00014800995,0.000009865687,0.0016647166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98871964,0.0056405477,0.0007355009,0.0012177026,0.0016067321,0.0020798817],"domain_scores_gemma":[0.7489098,0.17985348,0.052342985,0.005344124,0.006054401,0.007495213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009662219,0.00051396823,0.0019034143,0.0029523254,0.0015823051,0.007357209,0.0022761305,0.0034144693,0.017223766],"category_scores_gemma":[0.10107108,0.0006408982,0.0008398143,0.004019102,0.004376837,0.00603354,0.003696899,0.0037597725,0.0012252763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059441803,0.0027730244,0.79810995,0.00069042423,0.0010477417,0.0005604118,0.004882457,0.0030791261,0.00042994213,0.06419292,0.0057548555,0.11253492],"study_design_scores_gemma":[0.0013223852,0.0023075787,0.8495187,0.00092550874,0.0028272695,0.0012565857,0.033882096,0.011577739,0.0011526702,0.07334494,0.021788014,0.00009657201],"about_ca_topic_score_codex":0.0044753556,"about_ca_topic_score_gemma":0.0054686107,"teacher_disagreement_score":0.017223766,"about_ca_system_score_codex":0.0027296839,"about_ca_system_score_gemma":0.0035730782,"threshold_uncertainty_score":0.057619274},"labels":[],"label_agreement":null},{"id":"W2091299343","doi":"10.1016/j.rfe.2007.02.007","title":"U.S. corporate bond returns: A study of market anomalies based on broad industry groups","year":2007,"lang":"en","type":"article","venue":"Review of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Corporate bond; Bond market index; Bond; Index (typography); Bond market; Financial economics; Economics; Business; Monetary economics; Financial system; Finance","score_opus":0.03858750132881048,"score_gpt":0.23736856667871145,"score_spread":0.19878106534990098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091299343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859303,0.00052187726,0.0000937483,0.000096238735,0.000004446699,0.0000029537453,0.00023129027,0.000004059673,0.0004524787],"genre_scores_gemma":[0.9991835,0.00023131406,0.000043806886,0.000021253927,0.000013259586,0.0000020056398,0.00041538232,0.0000017035301,0.00008778435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994659,0.00019045809,0.000041780037,0.00009542881,0.00012962597,0.00007676431],"domain_scores_gemma":[0.99352986,0.0019661481,0.0030274484,0.00021988395,0.0008674146,0.00038931513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010943798,0.00018498077,0.00031385335,0.0021723143,0.00023613311,0.0007547174,0.00023572551,0.0004175251,0.0009868696],"category_scores_gemma":[0.0056370203,0.00012322079,0.0002695979,0.0039634802,0.0002257719,0.00047919856,0.000453651,0.0004895761,0.00020697489],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090888556,0.000051331226,0.9918635,0.000010842198,0.00010344796,0.000104373124,0.00010514629,0.0005260138,0.0002302993,0.00025638018,0.00064788235,0.006010014],"study_design_scores_gemma":[0.000004813411,0.000056622543,0.99687684,0.0000073584292,0.000035299683,0.00007031671,0.0001834114,0.0019400648,0.00009326145,0.00011499767,0.00061371987,0.0000034257587],"about_ca_topic_score_codex":0.014929319,"about_ca_topic_score_gemma":0.01854499,"teacher_disagreement_score":0.014929319,"about_ca_system_score_codex":0.00034223485,"about_ca_system_score_gemma":0.00025915084,"threshold_uncertainty_score":0.029684842},"labels":[],"label_agreement":null},{"id":"W2091315864","doi":"10.1111/j.1540-6288.2000.tb01422.x","title":"Market Efficiency in Specialist Markets Before and After Automation","year":2000,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exploit; Automation; Stock exchange; Stock (firearms); Nonparametric statistics; Market efficiency; Econometrics; Efficient-market hypothesis; Business; Economics; Stock market; Financial economics; Industrial organization; Finance; Computer science; Engineering; Geography","score_opus":0.012689264821994268,"score_gpt":0.21693853576254085,"score_spread":0.2042492709405466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091315864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99815303,0.00004546641,0.00073142094,0.00003233036,0.0000013835121,0.0000048454654,0.000031569565,0.000011033723,0.0009889444],"genre_scores_gemma":[0.9997379,0.0000064466926,0.000101201345,0.0000032394405,0.0000030073343,0.0000010882177,0.000024092024,0.0000012903816,0.000121769],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989623,0.00024265949,0.000078764824,0.0001341213,0.00037634553,0.00020586152],"domain_scores_gemma":[0.97415984,0.010799709,0.009530887,0.0020377864,0.00253588,0.00093581196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028785355,0.00013217021,0.0004699012,0.0011881974,0.00022937545,0.0012597907,0.00026304362,0.00041409972,0.0019486155],"category_scores_gemma":[0.017863205,0.00009251759,0.00031026895,0.00072306825,0.001021349,0.0014473544,0.0005122755,0.00034103764,0.00017704503],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003205897,0.00068243395,0.77572143,0.00013021586,0.00044705495,0.0009540816,0.0023280738,0.053730547,0.034907244,0.02275228,0.0011641181,0.10397652],"study_design_scores_gemma":[0.000044743614,0.0005785703,0.9612119,0.0000071745953,0.000045546676,0.00017815162,0.00038059938,0.025906742,0.0056282883,0.0053827716,0.0005973131,0.0000380458],"about_ca_topic_score_codex":0.0026070373,"about_ca_topic_score_gemma":0.0017949218,"teacher_disagreement_score":0.0028785355,"about_ca_system_score_codex":0.000695096,"about_ca_system_score_gemma":0.0003801934,"threshold_uncertainty_score":0.015223324},"labels":[],"label_agreement":null},{"id":"W2092286866","doi":"10.2139/ssrn.893065","title":"Market Efficiencies and Drift: A Computational Model","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Economics; Mathematical economics; Mathematics; Financial economics","score_opus":0.01921186967182432,"score_gpt":0.19562073244261022,"score_spread":0.1764088627707859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092286866","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44303694,0.00083989603,0.5087681,0.004675847,0.00016451527,0.0001016805,0.0006922098,0.00046866707,0.04125213],"genre_scores_gemma":[0.9604794,0.00040661436,0.028962977,0.00018804337,0.000087343105,0.00011227555,0.00018109428,0.00008656592,0.0094956355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996911,0.00012918912,0.000015042695,0.00005603449,0.000049376562,0.000059312875],"domain_scores_gemma":[0.99473417,0.0043861396,0.000267221,0.00022411204,0.00021818766,0.0001702113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012399306,0.00046378246,0.0013039532,0.0008478368,0.0007285689,0.00221462,0.002015297,0.0029665823,0.0076795216],"category_scores_gemma":[0.01315512,0.000776969,0.0008815053,0.001139446,0.0014083104,0.0034118886,0.0015260943,0.0016185697,0.0005036607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004191758,0.00003264295,0.00047782576,0.000017662482,0.000014327173,0.00007692366,0.000058818598,0.9140306,0.00009850721,0.08113803,0.0007628428,0.0032499726],"study_design_scores_gemma":[0.000012958202,0.0000027845851,0.000036773585,0.0000017357156,0.0000034327109,0.000008450353,0.0000051720053,0.98468876,0.000018552388,0.015112489,0.00010639206,0.000002508098],"about_ca_topic_score_codex":0.009603409,"about_ca_topic_score_gemma":0.004643104,"teacher_disagreement_score":0.009603409,"about_ca_system_score_codex":0.0010427098,"about_ca_system_score_gemma":0.0013488067,"threshold_uncertainty_score":0.025690556},"labels":[],"label_agreement":null},{"id":"W2092683727","doi":"10.3905/jpm.2003.319874","title":"Improving the Efficient Frontier","year":2003,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Pooling; Portfolio; Efficient frontier; Risk–return spectrum; Capital allocation line; Modern portfolio theory; Variety (cybernetics); Investment (military); Portfolio optimization; Capital (architecture); Portfolio allocation; Economics; Business; Econometrics; Actuarial science; Financial economics; Computer science; Microeconomics; Artificial intelligence","score_opus":0.01596791194118672,"score_gpt":0.19086652408052643,"score_spread":0.17489861213933972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092683727","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016109357,0.0022226002,0.9480373,0.0013233842,0.00011268424,0.000035419613,0.000092717695,0.00022644947,0.031840086],"genre_scores_gemma":[0.5738152,0.0052549583,0.4040554,0.0005089913,0.0003578463,0.00021041071,0.00028294392,0.0004774436,0.015036797],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986015,0.0005890259,0.0000661853,0.00019877443,0.00036910127,0.00017534842],"domain_scores_gemma":[0.99704725,0.001962767,0.00016982385,0.0004652772,0.00027892002,0.000075954275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031610243,0.0009945006,0.0012758037,0.0013440211,0.0006354889,0.0022349206,0.000986339,0.00140583,0.01064373],"category_scores_gemma":[0.015983928,0.0004459777,0.0009123112,0.0011251196,0.0013443757,0.0038273113,0.0027173103,0.00209868,0.0017791128],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040587296,0.00005535978,0.0004345129,0.00019577637,0.00003906095,0.00008758959,0.00015385167,0.14441593,0.0021983837,0.7338122,0.0061602066,0.11240656],"study_design_scores_gemma":[0.00001975481,0.00005159239,0.0003550426,0.000073776144,0.000022730579,0.00005789734,0.000047214977,0.30861583,0.0010711913,0.67726123,0.012409718,0.000013959901],"about_ca_topic_score_codex":0.0012018072,"about_ca_topic_score_gemma":0.0008807984,"teacher_disagreement_score":0.01064373,"about_ca_system_score_codex":0.0012601381,"about_ca_system_score_gemma":0.0013867063,"threshold_uncertainty_score":0.0356068},"labels":[],"label_agreement":null},{"id":"W2093031626","doi":"10.2469/faj.v59.n1.2506","title":"Dividend-Yield Strategies in the Canadian Stock Market","year":2003,"lang":"en","type":"article","venue":"Financial Analysts Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dividend yield; Dividend; Yield (engineering); Dividend policy; Stock market; Business; Financial economics; Stock (firearms); Economics; Monetary economics; Financial system; Finance; Geography","score_opus":0.039399193683744234,"score_gpt":0.22426705403040334,"score_spread":0.1848678603466591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093031626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98916173,0.00021983463,0.00048618935,0.00014922084,0.000004278007,0.00002446505,0.00013905237,0.000021642136,0.009793666],"genre_scores_gemma":[0.99713194,0.00013453314,0.0007193296,0.000020801828,0.0000015239659,0.0000047584604,0.000097189346,0.0000031959223,0.0018867186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996275,0.0000305798,0.000014293873,0.000035221037,0.00021093583,0.000081481296],"domain_scores_gemma":[0.9994222,0.000081489736,0.00008918049,0.00003516072,0.0002667897,0.00010520062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066279154,0.000322074,0.00024839985,0.0010548633,0.00087111373,0.0012825796,0.0004550562,0.00031812358,0.0014905339],"category_scores_gemma":[0.0030357246,0.00010474085,0.00023869572,0.0011799397,0.0004857803,0.00046446576,0.00037137003,0.0002253261,0.00014150105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015324602,0.0006467771,0.43741503,0.0001780122,0.00032080628,0.0010095076,0.0025138208,0.11452701,0.038620703,0.077521056,0.009476815,0.31623808],"study_design_scores_gemma":[0.00017410306,0.00048763867,0.7323889,0.000042619995,0.00018774129,0.00022946717,0.002178802,0.22371945,0.011992707,0.010339972,0.018071951,0.00018673293],"about_ca_topic_score_codex":0.8863265,"about_ca_topic_score_gemma":0.91548914,"teacher_disagreement_score":0.11367351,"about_ca_system_score_codex":0.014653729,"about_ca_system_score_gemma":0.0069629815,"threshold_uncertainty_score":0.22868586},"labels":[],"label_agreement":null},{"id":"W2093109222","doi":"10.1016/s0929-1199(02)00020-2","title":"Discounting expected values with parameter uncertainty","year":2002,"lang":"en","type":"article","venue":"Journal of Corporate Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cash flow; Valuation (finance); Discounting; Econometrics; Economics; Terminal value; Equity (law); Cash; Present value; Actuarial science; Operating cash flow; Finance","score_opus":0.05803571013992409,"score_gpt":0.20543617475888537,"score_spread":0.14740046461896128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093109222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07025424,0.0018662119,0.9204646,0.0017690724,0.00017565787,0.000034306657,0.00016470195,0.000150948,0.0051203184],"genre_scores_gemma":[0.92929226,0.0017709332,0.06288316,0.00022764607,0.00032370526,0.000047590413,0.00019802316,0.00011923883,0.0051374426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969477,0.0013027278,0.00022366125,0.0006488907,0.0005756597,0.0003013675],"domain_scores_gemma":[0.93120754,0.05767585,0.0037190246,0.0047362577,0.0017024035,0.00095897185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012177722,0.0010493067,0.0013913275,0.0010843452,0.00042161733,0.0040719802,0.0026854235,0.0023761075,0.0033251573],"category_scores_gemma":[0.10711913,0.0019227415,0.0013110065,0.0011333904,0.0030098525,0.014867147,0.0022647714,0.0049364762,0.0003071952],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016861809,0.000036949983,0.0023526093,0.00011503088,0.000110044646,0.00037145367,0.00030572084,0.32749912,0.00051219336,0.64170617,0.001175814,0.02564618],"study_design_scores_gemma":[0.000016139189,0.000022513414,0.00042649353,0.000032855314,0.00003492514,0.00011516204,0.00003282343,0.41230792,0.00031750396,0.58590496,0.0007526253,0.000036109424],"about_ca_topic_score_codex":0.001956112,"about_ca_topic_score_gemma":0.0011325167,"teacher_disagreement_score":0.012177722,"about_ca_system_score_codex":0.0020028348,"about_ca_system_score_gemma":0.0006392938,"threshold_uncertainty_score":0.0644027},"labels":[],"label_agreement":null},{"id":"W2093163938","doi":"10.2139/ssrn.1319668","title":"Informed Trading Around the World","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Business","score_opus":0.02916675787173796,"score_gpt":0.21763430487657126,"score_spread":0.1884675470048333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093163938","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13562648,0.011212084,0.049555723,0.036403373,0.0015677913,0.000037258396,0.0006168005,0.00039361548,0.76458687],"genre_scores_gemma":[0.933112,0.00351677,0.0039210897,0.0016110184,0.0003837649,0.000018380195,0.00019578394,0.00005359172,0.05718765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996393,0.00013030057,0.000015233295,0.00008189796,0.00009538005,0.000037903574],"domain_scores_gemma":[0.99886864,0.00037195944,0.00022648479,0.00027930966,0.00012581394,0.00012769827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006566519,0.0002903673,0.00031264473,0.0006313614,0.0006290819,0.005252861,0.0003292098,0.00155541,0.01826404],"category_scores_gemma":[0.004822267,0.0001626838,0.00018054663,0.00090900314,0.0010517942,0.005394818,0.0012108502,0.0012056177,0.0020563772],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019904276,0.000049106442,0.0034723973,0.00007355766,0.000083849096,0.0004337128,0.0007579416,0.005126736,0.00080446975,0.8220537,0.025153577,0.1417919],"study_design_scores_gemma":[0.00002052196,0.000027002428,0.0019994944,0.00008524762,0.00003473005,0.00025447714,0.0005704134,0.011530781,0.00047654618,0.88858336,0.09639641,0.000021079872],"about_ca_topic_score_codex":0.0010146236,"about_ca_topic_score_gemma":0.0011858022,"teacher_disagreement_score":0.01826404,"about_ca_system_score_codex":0.00058869267,"about_ca_system_score_gemma":0.00047631652,"threshold_uncertainty_score":0.06109923},"labels":[],"label_agreement":null},{"id":"W2093465950","doi":"10.1080/09603107.2010.532103","title":"Treating cross-dependence in event studies: the Canadian income trust leak","year":2011,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Victoria","funders":"","keywords":"Spurious relationship; Economics; Event (particle physics); Event study; Leak; Econometrics; Demographic economics; Actuarial science; Statistics; Physics; Geography; Mathematics","score_opus":0.05650240333791111,"score_gpt":0.23962457426659325,"score_spread":0.18312217092868216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093465950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7181241,0.016559822,0.122763224,0.08943775,0.001130142,0.0007017553,0.0029218954,0.00021216016,0.04814906],"genre_scores_gemma":[0.9809857,0.0015369067,0.007675265,0.0063771578,0.00049565115,0.00016641196,0.00031178034,0.000050325656,0.002400809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9731066,0.015799545,0.0012845478,0.002281122,0.0060151853,0.0015129877],"domain_scores_gemma":[0.67146665,0.24617313,0.03964346,0.02477533,0.013642935,0.0042985333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.059135847,0.0003298532,0.0008144101,0.0022859853,0.003874178,0.0032512227,0.0016524241,0.002117205,0.0025907564],"category_scores_gemma":[0.2004478,0.000354023,0.0007872495,0.0071602757,0.0057517462,0.002631246,0.003672839,0.0049792733,0.00012860082],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009297989,0.0001928978,0.639378,0.0005023249,0.0013158685,0.0024280502,0.020470882,0.0037530852,0.00084618386,0.1387582,0.03138969,0.16003497],"study_design_scores_gemma":[0.00023458991,0.00028898413,0.81699795,0.00058538065,0.001058969,0.0009576285,0.0106400885,0.018724551,0.0016572567,0.09023433,0.058339875,0.0002804049],"about_ca_topic_score_codex":0.52689964,"about_ca_topic_score_gemma":0.57049567,"teacher_disagreement_score":0.47310036,"about_ca_system_score_codex":0.009841874,"about_ca_system_score_gemma":0.009431873,"threshold_uncertainty_score":0.9517731},"labels":[],"label_agreement":null},{"id":"W2093522784","doi":"10.3905/jsf.2013.19.2.059","title":"Synthetic Real Return Bonds","year":2013,"lang":"en","type":"article","venue":"The journal of structured finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Bond; Fixed income; Revenue bond; Portfolio; Economics; Arbitrage; Inflation (cosmology); Loan; Finance; Business; Financial economics; Monetary economics; Financial system","score_opus":0.014511403160073265,"score_gpt":0.19581639287384942,"score_spread":0.18130498971377615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093522784","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33343494,0.001662695,0.55131495,0.0013506364,0.00115453,0.00019831998,0.0010061949,0.00065280194,0.10922497],"genre_scores_gemma":[0.9078471,0.00087976357,0.07405186,0.00019307998,0.00015244038,0.00010892438,0.00073996524,0.00015310592,0.015873773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994844,0.00016086237,0.000034385197,0.000075807,0.00022009098,0.000024414216],"domain_scores_gemma":[0.99921703,0.00020599023,0.00013298637,0.00016956095,0.00019682736,0.000077677025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080227206,0.0002578933,0.00025736567,0.00039552973,0.00020260179,0.0015586293,0.00038442068,0.00056514126,0.0068553193],"category_scores_gemma":[0.0028075075,0.00015360018,0.000278704,0.00039369546,0.0005413358,0.0016971938,0.00080650963,0.00060649496,0.00084147527],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038056218,0.00014062981,0.0019425848,0.00016865924,0.00005042219,0.00042183654,0.00021711407,0.12350418,0.02241741,0.7789416,0.005561667,0.066253416],"study_design_scores_gemma":[0.00016133657,0.0009330617,0.0030219397,0.00011189119,0.000051845615,0.0014867722,0.0003302711,0.5054069,0.030890983,0.30588114,0.15161939,0.00010442055],"about_ca_topic_score_codex":0.000149015,"about_ca_topic_score_gemma":0.00010663732,"teacher_disagreement_score":0.0068553193,"about_ca_system_score_codex":0.00031716723,"about_ca_system_score_gemma":0.00022107613,"threshold_uncertainty_score":0.022933304},"labels":[],"label_agreement":null},{"id":"W2093998806","doi":"10.3905/jot.2013.8.4.054","title":"The Effect of Brokers on the Dynamics of a Walrasian Auction","year":2013,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Market liquidity; Microeconomics; Common value auction; Profit (economics); Volatility (finance); Economics; Economic surplus; General equilibrium theory; Walrasian auction; Monetary economics; Business; Finance; Revenue equivalence; Auction theory; Market economy","score_opus":0.014339508027572445,"score_gpt":0.19395908826685693,"score_spread":0.17961958023928448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093998806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923344,0.00013270491,0.003803255,0.00030158355,0.000029427994,0.000034204397,0.000036056485,0.00005569018,0.0032725974],"genre_scores_gemma":[0.99840194,0.000042356667,0.0009581376,0.000025796335,0.00001340428,0.000012453503,0.000015857202,0.0000073883775,0.0005226085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971474,0.0015868227,0.00022555694,0.0003565861,0.00032788745,0.00035572812],"domain_scores_gemma":[0.9450054,0.036939688,0.00941436,0.0039729867,0.0014709019,0.0031966784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005730956,0.0005464236,0.0013412519,0.0005324338,0.00091120746,0.0037535247,0.0008379598,0.0016198679,0.008080748],"category_scores_gemma":[0.041290578,0.0005238573,0.00051137415,0.0004391527,0.0015430342,0.0034719028,0.0015617112,0.0017167676,0.00058087206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.037889704,0.010844262,0.15358754,0.0010755891,0.0010750158,0.003999196,0.006087434,0.29078406,0.20509204,0.19456762,0.0050501325,0.08994741],"study_design_scores_gemma":[0.004320853,0.007002586,0.041315515,0.00007549198,0.0005506379,0.00070044963,0.0024487705,0.85063666,0.016695242,0.072484195,0.0034905456,0.0002790569],"about_ca_topic_score_codex":0.0017332046,"about_ca_topic_score_gemma":0.00083819183,"teacher_disagreement_score":0.008080748,"about_ca_system_score_codex":0.00074271136,"about_ca_system_score_gemma":0.0008696338,"threshold_uncertainty_score":0.030308545},"labels":[],"label_agreement":null},{"id":"W2094124299","doi":"10.5539/ijef.v6n4p276","title":"Impact of Transaction for Institutional and Non-Institutional Persons for Rising Magnet Effect on Price Limit at Tehran Stock Exchange","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock (firearms); Business; Institutional investor; Monetary economics; Stock price; Database transaction; Stock market; Magnet; Economics; Finance; Physics; Computer science; Geography","score_opus":0.024364273633172943,"score_gpt":0.24488050457370644,"score_spread":0.2205162309405335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094124299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933924,0.00018720738,0.00008116611,0.00030018107,0.000015016828,0.000008684586,0.000057498284,0.000009968233,0.005947892],"genre_scores_gemma":[0.9985373,0.00007969813,0.00004428434,0.000019643094,0.00001665821,0.000002203976,0.000050277114,0.0000017835938,0.001248185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905914,0.00022736384,0.00006790287,0.00007438323,0.00036410717,0.00020720654],"domain_scores_gemma":[0.9950799,0.0016360538,0.0017900763,0.00023085668,0.00058016833,0.00068294525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008517843,0.00016082896,0.00018172922,0.0008454588,0.00057949685,0.0015620496,0.0003625901,0.00044503424,0.010907075],"category_scores_gemma":[0.0054249642,0.00007560965,0.0002359038,0.00047797867,0.00044890467,0.0008862908,0.00069930824,0.00044700303,0.000589215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014056542,0.00047446712,0.93574995,0.000100527046,0.00011585178,0.004840864,0.0020009445,0.0011685222,0.0028581857,0.0037933248,0.003670316,0.043821316],"study_design_scores_gemma":[0.00006242644,0.00070225535,0.97949445,0.00005209591,0.000100160316,0.001207287,0.0072693923,0.0035778799,0.0019280694,0.0009804008,0.004597687,0.000027816672],"about_ca_topic_score_codex":0.0040548076,"about_ca_topic_score_gemma":0.00400952,"teacher_disagreement_score":0.010907075,"about_ca_system_score_codex":0.00053607376,"about_ca_system_score_gemma":0.00046545017,"threshold_uncertainty_score":0.036487818},"labels":[],"label_agreement":null},{"id":"W2094130486","doi":"10.1016/j.frl.2006.03.001","title":"Explaining inertia in closed-end fund prices","year":2006,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Net asset value; Economics; Bond; Inertia; Monetary economics; Closed-end fund; Stock (firearms); Asset (computer security); Database transaction; Econometrics; Transaction cost; Financial economics; Value (mathematics); Microeconomics; Finance; Market liquidity; Mathematics; Computer science; Statistics","score_opus":0.0959460278470329,"score_gpt":0.2946462284816116,"score_spread":0.1987002006345787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094130486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773825,0.000196356,0.013192648,0.0015619925,0.000060230166,0.000010796017,0.00006544835,0.00010455225,0.0074254456],"genre_scores_gemma":[0.9988238,0.0000286452,0.00049868744,0.000039784674,0.000054814383,0.000002610284,0.000027277738,0.000016102173,0.0005083287],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994821,0.00012097884,0.000035222904,0.00013021499,0.00007531861,0.0001561777],"domain_scores_gemma":[0.979764,0.014476353,0.0026526975,0.0012997468,0.00084609736,0.00096119376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023518205,0.0002579105,0.0006429526,0.0009270855,0.00048371186,0.0033990862,0.00074039976,0.00129923,0.005563719],"category_scores_gemma":[0.038664863,0.00039516322,0.00040330482,0.0005745873,0.0012642707,0.0034076986,0.0010491102,0.0019505918,0.00047114768],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014817001,0.0005961544,0.38775352,0.0001853543,0.00026812113,0.001767826,0.004496827,0.056343302,0.006929382,0.44292516,0.011372008,0.08588058],"study_design_scores_gemma":[0.00024109376,0.00019178356,0.19483091,0.000045892964,0.00010613529,0.00043009766,0.0011577716,0.27455878,0.0012819746,0.5241382,0.0029264747,0.000090871974],"about_ca_topic_score_codex":0.0027351934,"about_ca_topic_score_gemma":0.0016929705,"teacher_disagreement_score":0.005563719,"about_ca_system_score_codex":0.00073097687,"about_ca_system_score_gemma":0.00035230356,"threshold_uncertainty_score":0.018612444},"labels":[],"label_agreement":null},{"id":"W2094226756","doi":"10.1111/j.1936-4490.2004.tb00349.x","title":"An Explanation of Momentum in Canadian Stocks","year":2004,"lang":"fr","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Momentum (technical analysis); Explication; Economics; Humanities; Financial economics; Philosophy","score_opus":0.096077711253994,"score_gpt":0.2951176386832404,"score_spread":0.19903992742924642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094226756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9295379,0.0031478698,0.0018013279,0.0072541507,0.00008439985,0.000058645226,0.0010714326,0.00008534189,0.056959044],"genre_scores_gemma":[0.9966947,0.00047894244,0.00019444371,0.00011896266,0.000035748406,0.0000025430254,0.00013708747,0.0000042426323,0.0023333565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995747,0.000021005419,0.000012106525,0.00003459059,0.00024001402,0.00011757486],"domain_scores_gemma":[0.99711907,0.0005946709,0.0009810736,0.00010303163,0.00091527955,0.0002868069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072674855,0.00031895717,0.00033977474,0.0023628846,0.0014135399,0.0023917207,0.0005684139,0.0007153085,0.0067865755],"category_scores_gemma":[0.0062543745,0.00019891266,0.00046370973,0.0024133436,0.00096909015,0.00096081186,0.00073609146,0.00060605403,0.00023193308],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030653714,0.00007808768,0.8656497,0.00015112135,0.00014095142,0.0014881794,0.0019399619,0.006305382,0.0022409079,0.055898294,0.0073802634,0.058420617],"study_design_scores_gemma":[0.000047291473,0.000063147454,0.95502084,0.000089698435,0.000113266666,0.00027838908,0.0016724116,0.010931566,0.0006780625,0.01708287,0.013966395,0.000056116216],"about_ca_topic_score_codex":0.7875283,"about_ca_topic_score_gemma":0.6966727,"teacher_disagreement_score":0.7875283,"about_ca_system_score_codex":0.009359197,"about_ca_system_score_gemma":0.007822096,"threshold_uncertainty_score":0.427446},"labels":[],"label_agreement":null},{"id":"W2094732156","doi":"10.1142/s0219091513500070","title":"Debt Issuance Under Rule 144A and Equity Valuation Effects","year":2013,"lang":"en","type":"article","venue":"Review of Pacific Basin Financial Markets and Policies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Debt; Business; Monetary economics; Issuer; Financial system; Valuation effects; Valuation (finance); Equity (law); Economics; Finance","score_opus":0.028487858212432857,"score_gpt":0.2599229276085568,"score_spread":0.23143506939612393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094732156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99423754,0.00080153684,0.00018887923,0.000090673915,0.000009504044,0.000007972835,0.00006835673,0.000006371495,0.004589157],"genre_scores_gemma":[0.9983923,0.0005660774,0.000106103485,0.00002618268,0.000027026124,0.0000038542776,0.000112547554,0.0000017125418,0.00076423446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993661,0.00014776869,0.00006825373,0.00009933625,0.0002452643,0.000073264826],"domain_scores_gemma":[0.98951995,0.002681325,0.00646408,0.00035182605,0.00071414467,0.0002686994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015190525,0.00012135659,0.000304131,0.00050589256,0.00016541476,0.0010853161,0.00020122757,0.00038659558,0.0020528026],"category_scores_gemma":[0.008700113,0.00007406805,0.00021117924,0.00063445675,0.0003363736,0.0005920592,0.0003729805,0.00051226496,0.00023031713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014406366,0.0006292201,0.8482404,0.0003981744,0.00031513392,0.001055878,0.0005372559,0.0024136042,0.0145912515,0.006883555,0.0012649987,0.12222985],"study_design_scores_gemma":[0.00002624218,0.00071235746,0.98951054,0.00004095045,0.00009622527,0.00031880612,0.0003272241,0.0014383162,0.0028179751,0.00215601,0.002543935,0.000011411639],"about_ca_topic_score_codex":0.0016164546,"about_ca_topic_score_gemma":0.0016553048,"teacher_disagreement_score":0.0020528026,"about_ca_system_score_codex":0.00031211908,"about_ca_system_score_gemma":0.00039569454,"threshold_uncertainty_score":0.008033633},"labels":[],"label_agreement":null},{"id":"W2094875932","doi":"10.2139/ssrn.906686","title":"Diversification in Portfolios of Individual Stocks: 100 Stocks are Not Enough","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; York University; Memorial University of Newfoundland","funders":"","keywords":"Diversification (marketing strategy); Business; Financial economics; Economics; Marketing","score_opus":0.020316881231913234,"score_gpt":0.20703559371045363,"score_spread":0.18671871247854038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094875932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.930487,0.0103941,0.022818154,0.018888453,0.000538212,0.00008196534,0.0014280444,0.00021519931,0.015148912],"genre_scores_gemma":[0.99123454,0.001138455,0.00449387,0.0013703405,0.00016028031,0.000017123097,0.00050284143,0.000025000933,0.0010575318],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983272,0.0005425946,0.00019252324,0.0003339797,0.00047451383,0.00012921073],"domain_scores_gemma":[0.9818912,0.0094395485,0.0023156116,0.0028059762,0.0021322893,0.0014153841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00667856,0.00063737796,0.0013803054,0.001299412,0.0008268995,0.0021185784,0.00072856265,0.0021952656,0.003272525],"category_scores_gemma":[0.03129947,0.000539385,0.0008380657,0.0017492083,0.0011147722,0.005858725,0.0018635385,0.0017082668,0.0011736075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026007472,0.00045257568,0.40706494,0.0003648574,0.002401073,0.0012979,0.00059150346,0.02878714,0.006263513,0.018770328,0.028030116,0.50337535],"study_design_scores_gemma":[0.00028446596,0.0011141408,0.40455145,0.0005796647,0.0011339731,0.0035450435,0.0021376982,0.05739795,0.004082264,0.5013795,0.023597639,0.00019631331],"about_ca_topic_score_codex":0.0013273711,"about_ca_topic_score_gemma":0.00204695,"teacher_disagreement_score":0.00667856,"about_ca_system_score_codex":0.00045696797,"about_ca_system_score_gemma":0.000495183,"threshold_uncertainty_score":0.035320044},"labels":[],"label_agreement":null},{"id":"W2095867786","doi":"10.1002/9781118445785.ch1","title":"Foreign Exchange Market Structure, Players, and Evolution","year":2012,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Electronic trading; Foreign exchange market; Open outcry; Algorithmic trading; Alternative trading system; Stylized fact; Market microstructure; Currency; Business; Capital market; Exchange rate; Dark liquidity; Incentive; Monetary economics; High-frequency trading; Economics; Financial economics; Commerce; Order (exchange); Market economy; Finance; Macroeconomics","score_opus":0.01946117061162166,"score_gpt":0.1907777914437085,"score_spread":0.17131662083208682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095867786","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21526542,0.027841218,0.0033690825,0.006428434,0.00023223765,0.00003632222,0.0010221478,0.00009338622,0.7457118],"genre_scores_gemma":[0.7809103,0.023276284,0.0028031715,0.00060964085,0.00029164914,0.00003612006,0.0009863428,0.000070590344,0.19101588],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997758,0.00004834502,0.0000109084895,0.000048017355,0.00008220919,0.000034624547],"domain_scores_gemma":[0.99974364,0.00010362093,0.000052622017,0.000017814631,0.000053714783,0.000028456783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043695248,0.00021436735,0.0001723134,0.0013366357,0.00052650244,0.004915462,0.00027732516,0.00053795584,0.012536063],"category_scores_gemma":[0.0014072218,0.00010202834,0.00010750537,0.0026846116,0.00089426665,0.004261465,0.0005246599,0.0006605236,0.0011978449],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009216266,0.000046824443,0.011478759,0.00010599798,0.00001070367,0.00028074125,0.00299626,0.0010953447,0.00049701176,0.79931945,0.019943545,0.16413325],"study_design_scores_gemma":[0.000016985261,0.00006626366,0.051009346,0.0003861721,0.000011797401,0.00072902645,0.00609331,0.004059023,0.00065664307,0.15444037,0.78249884,0.000032180913],"about_ca_topic_score_codex":0.0034079414,"about_ca_topic_score_gemma":0.0038986,"teacher_disagreement_score":0.012536063,"about_ca_system_score_codex":0.001396669,"about_ca_system_score_gemma":0.00046123881,"threshold_uncertainty_score":0.041937232},"labels":[],"label_agreement":null},{"id":"W2096116061","doi":"10.2139/ssrn.2279622","title":"Profitability and Stock Returns in Production-Based Asset Pricing with Decreasing Returns to Scale","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Profitability index; Stock (firearms); Capital asset pricing model; Returns to scale; Business; Consumption-based capital asset pricing model; Production (economics); Economics; Financial economics; Econometrics; Finance; Microeconomics; Engineering","score_opus":0.01198248329242355,"score_gpt":0.20290949201225644,"score_spread":0.1909270087198329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096116061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93825924,0.0018176965,0.049789205,0.002145951,0.000044835553,0.000028799477,0.00006852624,0.00010598724,0.007739818],"genre_scores_gemma":[0.99710196,0.00034517347,0.0009627267,0.00003870158,0.0000698011,0.000009055803,0.000030466488,0.000015496915,0.0014265651],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992429,0.00035142698,0.00003854188,0.00011506939,0.000112759735,0.00013928258],"domain_scores_gemma":[0.98352283,0.012471617,0.001911146,0.00060367753,0.0005117026,0.0009791161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003433859,0.0007196612,0.0012381438,0.0010760275,0.00051748997,0.0029416028,0.0012068046,0.0018798483,0.0036677592],"category_scores_gemma":[0.0211451,0.0005456611,0.00080548815,0.00093266304,0.0025589995,0.0046504927,0.0012467032,0.0022228158,0.00042333498],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007423632,0.00046829952,0.06639329,0.00027324332,0.0002574892,0.0029025362,0.0011548945,0.280578,0.008423179,0.6037015,0.0025252914,0.03257993],"study_design_scores_gemma":[0.00010922187,0.00019948905,0.03095631,0.000033891556,0.00008509632,0.0004867668,0.00029254486,0.65189654,0.0005128824,0.31491128,0.00044570025,0.00007031131],"about_ca_topic_score_codex":0.0020514464,"about_ca_topic_score_gemma":0.0012417181,"teacher_disagreement_score":0.0036677592,"about_ca_system_score_codex":0.0010253678,"about_ca_system_score_gemma":0.0005059429,"threshold_uncertainty_score":0.018160164},"labels":[],"label_agreement":null},{"id":"W2096503378","doi":"10.2139/ssrn.316999","title":"Testing Behavioral Finance Theories Using Trends and Sequences in Financial Performance","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Behavioral economics; Finance; Economics; Business","score_opus":0.043391109928823904,"score_gpt":0.23271397546144182,"score_spread":0.1893228655326179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096503378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975585,0.000014057064,0.0014900531,0.00008013534,0.0000076722545,0.000012255282,0.00015112797,0.000011029518,0.0006750448],"genre_scores_gemma":[0.99785894,0.000041701685,0.0012874977,0.000022441236,0.000013068042,0.000035915684,0.0004047785,0.0000067752735,0.0003289649],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976042,0.0014414524,0.00016648194,0.00030117822,0.0003219636,0.00016473093],"domain_scores_gemma":[0.8570377,0.122938246,0.0116296075,0.0045696055,0.0022587846,0.0015659602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072696568,0.00061777205,0.00045768794,0.001961766,0.00039790172,0.0015782334,0.00093657995,0.0013937398,0.0038084777],"category_scores_gemma":[0.0687346,0.0004107487,0.00080998696,0.0016752421,0.0008337613,0.003097044,0.00080956647,0.0015431746,0.0006825393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011138503,0.0024487737,0.94284254,0.00005612289,0.00044307215,0.00010610421,0.0005557147,0.017696664,0.0011800257,0.009575996,0.00046616077,0.023514941],"study_design_scores_gemma":[0.0002709614,0.003109816,0.63650936,0.00003769258,0.00033956047,0.0001790621,0.0013131372,0.33319968,0.0026553096,0.021456784,0.00087258377,0.00005596929],"about_ca_topic_score_codex":0.003303424,"about_ca_topic_score_gemma":0.002497192,"teacher_disagreement_score":0.0072696568,"about_ca_system_score_codex":0.00075094064,"about_ca_system_score_gemma":0.00062885653,"threshold_uncertainty_score":0.03844607},"labels":[],"label_agreement":null},{"id":"W2096847948","doi":"","title":"RISK-SMOOTHING ACROSS TIME AND THE DEMAND FOR INVENTORIES: A MEAN-VARIANCE APPROACH","year":2006,"lang":"en","type":"article","venue":"Eastern Economic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Canadian Navy","funders":"","keywords":"Inventory investment; GDP deflator; Economics; Econometrics; Smoothing; Volatility (finance); Survey of Professional Forecasters; Variance (accounting); Investment (military); Incentive; Odds; Production (economics); Microeconomics; Statistics; Real gross domestic product; Monetary economics; Mathematics; Logistic regression; Monetary policy","score_opus":0.017066725307816243,"score_gpt":0.20941569459115633,"score_spread":0.19234896928334008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096847948","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16014384,0.0022198374,0.82372516,0.004384178,0.00022316232,0.00009434529,0.0005761306,0.0003805184,0.008252796],"genre_scores_gemma":[0.954107,0.0015744384,0.03184855,0.00027202378,0.00036194682,0.00013443109,0.0004354915,0.00015077638,0.011115364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804074,0.0006155787,0.00011313337,0.00056742114,0.00036390845,0.000299166],"domain_scores_gemma":[0.9890542,0.0076774512,0.001088564,0.0011365631,0.00067247974,0.00037058486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00707853,0.0010325384,0.001822044,0.0016840975,0.0006460819,0.0031433557,0.0026358375,0.002548578,0.005738653],"category_scores_gemma":[0.020203037,0.0011345369,0.0021094398,0.001570096,0.0019276389,0.0042864573,0.0014866841,0.002668336,0.0008135662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002493501,0.00024456944,0.019913653,0.00015822609,0.00062587654,0.0005590984,0.0007106291,0.44624668,0.0019391064,0.4849198,0.0029105006,0.041522443],"study_design_scores_gemma":[0.000023467224,0.000103368395,0.007138677,0.000046006135,0.00012399595,0.00016883531,0.0001560282,0.68829983,0.00028789398,0.30103287,0.0025282078,0.00009082481],"about_ca_topic_score_codex":0.0081191,"about_ca_topic_score_gemma":0.004991905,"teacher_disagreement_score":0.0081191,"about_ca_system_score_codex":0.0019953696,"about_ca_system_score_gemma":0.0014410149,"threshold_uncertainty_score":0.037435293},"labels":[],"label_agreement":null},{"id":"W2096977351","doi":"10.1093/rof/rfs023","title":"Hedge Funds and Equity Prices","year":2012,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedge fund; Global assets under management; Equity (law); Financial crisis; Stock (firearms); Fund of funds; Alternative beta; Business; Commodity pool; Monetary economics; Quarter (Canadian coin); Passive management; Financial system; Economics; Institutional investor; Financial economics; Finance; Market liquidity; Corporate governance","score_opus":0.09235097510361526,"score_gpt":0.2737408795496629,"score_spread":0.18138990444604766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096977351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66820884,0.18726778,0.0023012576,0.008513817,0.0003347751,0.000029615352,0.00075319916,0.00004672315,0.13254407],"genre_scores_gemma":[0.9788513,0.016003449,0.00021312649,0.00019264403,0.0002525623,0.0000050032477,0.00016074107,0.0000038642534,0.004317358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997876,0.000052739888,0.000015957425,0.00003249322,0.000080048005,0.000031078718],"domain_scores_gemma":[0.9984268,0.00053962646,0.0007058887,0.000032549284,0.00020527492,0.000089850386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006239792,0.00020095779,0.00029374423,0.0009959001,0.00015072398,0.0019140752,0.0001880838,0.0007411883,0.00367212],"category_scores_gemma":[0.0044619194,0.00007413786,0.00017813894,0.0011070315,0.00040273392,0.0009451363,0.00038815988,0.0004865966,0.00040797214],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005915698,0.00019123308,0.21520154,0.0009892453,0.00063898286,0.0014108008,0.0007627691,0.014065536,0.0028212706,0.40658122,0.030184768,0.32656112],"study_design_scores_gemma":[0.00012797207,0.00032710214,0.5428673,0.0010161017,0.00035564316,0.0012017314,0.0013939976,0.011012986,0.0015535025,0.30238283,0.1376888,0.000072003655],"about_ca_topic_score_codex":0.0027484545,"about_ca_topic_score_gemma":0.0016895569,"teacher_disagreement_score":0.00367212,"about_ca_system_score_codex":0.00076239085,"about_ca_system_score_gemma":0.00054158166,"threshold_uncertainty_score":0.012284458},"labels":[],"label_agreement":null},{"id":"W2097275489","doi":"10.2139/ssrn.2493831","title":"Two Trees with Heterogeneous Beliefs: Spillover Effect of Disagreement","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Toronto","funders":"","keywords":"Spillover effect; Econometrics; Economics; Psychology; Microeconomics","score_opus":0.010524291140482265,"score_gpt":0.22118926130891117,"score_spread":0.21066497016842892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097275489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9554873,0.00027494697,0.02732738,0.0021398896,0.000054085664,0.000040536852,0.00012450498,0.00010418894,0.014447218],"genre_scores_gemma":[0.9976459,0.000058920687,0.0011434035,0.00008984006,0.00003385509,0.000009642987,0.000035547735,0.000015022002,0.00096786337],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984326,0.0007809483,0.00004631855,0.00027404347,0.00014919906,0.0003169077],"domain_scores_gemma":[0.92992663,0.060201906,0.0035646653,0.0026721954,0.0014429509,0.0021916658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058112475,0.00035652495,0.0014144307,0.00091177155,0.0010962,0.0040800287,0.0016075952,0.0041732616,0.015620111],"category_scores_gemma":[0.058653377,0.00073681324,0.0006422217,0.0008184868,0.0018232412,0.0058370107,0.0019060919,0.0038842754,0.0010477558],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005543015,0.0020929845,0.043626774,0.000478243,0.00045347048,0.0029697393,0.0067733554,0.17001428,0.013633166,0.6858367,0.010616601,0.057961773],"study_design_scores_gemma":[0.0005901506,0.00027386277,0.018376542,0.000065810484,0.00027557538,0.00044889783,0.0017957865,0.5154207,0.0009628943,0.4605391,0.0011360968,0.00011449575],"about_ca_topic_score_codex":0.0023073305,"about_ca_topic_score_gemma":0.0013434356,"teacher_disagreement_score":0.015620111,"about_ca_system_score_codex":0.0009806149,"about_ca_system_score_gemma":0.00053735706,"threshold_uncertainty_score":0.052254498},"labels":[],"label_agreement":null},{"id":"W2097410312","doi":"10.1016/j.jempfin.2008.12.003","title":"Improvement in finite sample properties of the Hansen–Jagannathan distance test","year":2009,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Capital asset pricing model; Mathematics; Weighting; Portfolio; Econometrics; Sample (material); Computer science; Statistics; Economics; Finance","score_opus":0.05382856942677668,"score_gpt":0.24918310280211195,"score_spread":0.19535453337533526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097410312","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07422622,0.0031077077,0.90977323,0.0021549407,0.00060956145,0.00012511825,0.0006398651,0.0007145131,0.008648809],"genre_scores_gemma":[0.77696466,0.0016238109,0.2112598,0.0007901465,0.0009656854,0.00027019056,0.0014429683,0.0007504084,0.005932291],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97809726,0.015822507,0.0009812068,0.0023369023,0.0021991436,0.00056300254],"domain_scores_gemma":[0.48008373,0.4894175,0.0035583605,0.01657564,0.008546473,0.0018183083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.041029878,0.0011953373,0.003956657,0.003189339,0.0015819051,0.003494248,0.004852006,0.0025815866,0.011746073],"category_scores_gemma":[0.28529355,0.0009956093,0.0017442028,0.0026659083,0.0037952634,0.008572839,0.0048021465,0.005229397,0.0013867406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034199522,0.00066569453,0.025098218,0.0012458189,0.0012748362,0.0015164508,0.0013195984,0.17005304,0.004844701,0.5148529,0.01069271,0.26501614],"study_design_scores_gemma":[0.0003470529,0.0005649084,0.0061770855,0.00018157679,0.00026183215,0.00056821783,0.00027375185,0.71534604,0.0028822955,0.2683514,0.0048984517,0.00014745444],"about_ca_topic_score_codex":0.0027699657,"about_ca_topic_score_gemma":0.0028010455,"teacher_disagreement_score":0.041029878,"about_ca_system_score_codex":0.0010569703,"about_ca_system_score_gemma":0.0030224405,"threshold_uncertainty_score":0.21698934},"labels":[],"label_agreement":null},{"id":"W2097478543","doi":"10.1093/rapstu/rav003","title":"Price-Dividend Ratio Factor Proxies for Long-Run Risks","year":2015,"lang":"en","type":"article","venue":"The Review of Asset Pricing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Capital asset pricing model; Dividend; Econometrics; Financial economics; Stock (firearms); Value premium; Volatility (finance); Growth stock; Restricted stock; Stock market; Finance","score_opus":0.23604591582961257,"score_gpt":0.3590745097002698,"score_spread":0.1230285938706572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097478543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40654802,0.091302566,0.37605473,0.0052947826,0.0010070237,0.00013442228,0.005710093,0.0012778126,0.11267051],"genre_scores_gemma":[0.96217597,0.012765597,0.015400276,0.00015797261,0.0005145131,0.000038965238,0.0015827994,0.00007220727,0.007291647],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957126,0.0000998823,0.000028517672,0.00010745484,0.00015958193,0.000033321496],"domain_scores_gemma":[0.996114,0.001531495,0.0014675651,0.0002763154,0.0005153798,0.00009518092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009180562,0.00087762845,0.00049472536,0.0023619102,0.00017903889,0.0021469267,0.0007306799,0.0010366386,0.0056530773],"category_scores_gemma":[0.008293426,0.00014564562,0.0004273189,0.00407417,0.0004854017,0.0020891947,0.00043031826,0.0008231327,0.0024918907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001484338,0.00012711203,0.23384461,0.0008837918,0.00037314862,0.0006677486,0.00041650096,0.032834716,0.004133303,0.33882403,0.021131847,0.3666148],"study_design_scores_gemma":[0.000048783986,0.00027709914,0.33476976,0.0006961075,0.0004178346,0.0026786374,0.00072084996,0.14053755,0.0057887407,0.41867712,0.09518297,0.00020452548],"about_ca_topic_score_codex":0.0031852487,"about_ca_topic_score_gemma":0.0015660155,"teacher_disagreement_score":0.0056530773,"about_ca_system_score_codex":0.00089316553,"about_ca_system_score_gemma":0.00037343946,"threshold_uncertainty_score":0.018911421},"labels":[],"label_agreement":null},{"id":"W2098206218","doi":"10.2139/ssrn.1413780","title":"Real Asset Illiquidity and the Cost of Capital","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cost of capital; Economics; Asset (computer security); Monetary economics; Business; Financial economics; Financial system; Market economy","score_opus":0.025170362932269305,"score_gpt":0.20231250542778806,"score_spread":0.17714214249551874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098206218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9325855,0.00886576,0.0269099,0.0068895486,0.00013648489,0.000028642067,0.00052140467,0.00007116718,0.023991546],"genre_scores_gemma":[0.99619627,0.0010299878,0.00050861505,0.000050791416,0.00007784345,0.000004897789,0.00007450448,0.000009577925,0.0020475786],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996959,0.000089382374,0.000029332728,0.0000405305,0.00006039217,0.00008442312],"domain_scores_gemma":[0.9837647,0.009873337,0.004548445,0.00047632464,0.0006329334,0.00070422876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00133325,0.00026193497,0.00045528356,0.0011005601,0.00029114512,0.0031762815,0.00047581282,0.001219292,0.006633087],"category_scores_gemma":[0.016974214,0.00023883824,0.00026482702,0.0010108617,0.0012398486,0.004886064,0.00060033955,0.0014481684,0.00035275592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004900917,0.000146812,0.053919666,0.00019068061,0.00012323425,0.0010333639,0.0003553098,0.07797718,0.0014388078,0.8247906,0.0051191137,0.034415208],"study_design_scores_gemma":[0.000056444584,0.00012278048,0.029680323,0.000091266025,0.00008659976,0.000946322,0.00037410684,0.111860976,0.00078527845,0.85144955,0.0044766143,0.00006967862],"about_ca_topic_score_codex":0.0012891601,"about_ca_topic_score_gemma":0.0011329995,"teacher_disagreement_score":0.006633087,"about_ca_system_score_codex":0.0015185644,"about_ca_system_score_gemma":0.0006204362,"threshold_uncertainty_score":0.022189856},"labels":[],"label_agreement":null},{"id":"W2098579382","doi":"10.2139/ssrn.1359251","title":"The Prevalence, Sources, and Effects of Herding","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Herding; Geography; Econometrics; Economics","score_opus":0.004963650152087415,"score_gpt":0.1824561311880258,"score_spread":0.1774924810359384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098579382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953754,0.0011198404,0.0007908496,0.0003238413,0.0000085202755,0.000009661719,0.00025144772,0.000014665286,0.0021056556],"genre_scores_gemma":[0.99926525,0.00022235261,0.0001705962,0.000021089367,0.000012657187,0.0000025083168,0.00007613965,0.0000029150283,0.00022659048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987337,0.00051638664,0.0000967131,0.00029594178,0.00015183332,0.00020547966],"domain_scores_gemma":[0.97235715,0.0184199,0.005583534,0.0020564685,0.00087530905,0.0007076318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033652147,0.00013719952,0.00033954286,0.0010599232,0.00034059005,0.0012652394,0.00059624726,0.00095381064,0.006245336],"category_scores_gemma":[0.022718651,0.00033658024,0.00038020642,0.0007310953,0.00078554545,0.0015687548,0.0008442493,0.00069568516,0.0004206201],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005010719,0.0001339935,0.9657849,0.000073490126,0.00029994996,0.00013830072,0.00063229917,0.0010515621,0.0018268932,0.0026916703,0.00070137647,0.026164409],"study_design_scores_gemma":[0.000019691499,0.0001312433,0.9903347,0.000036381192,0.00019311525,0.00040014525,0.0007864103,0.0038090565,0.0003700343,0.0032900975,0.0006144188,0.000014857844],"about_ca_topic_score_codex":0.0026583339,"about_ca_topic_score_gemma":0.0027867574,"teacher_disagreement_score":0.006245336,"about_ca_system_score_codex":0.00040732996,"about_ca_system_score_gemma":0.00021516759,"threshold_uncertainty_score":0.02089274},"labels":[],"label_agreement":null},{"id":"W2098619760","doi":"10.5267/j.msl.2014.6.013","title":"A study on relationship between the return of value/growth portfolio and market return: Evidence from Tehran Stock Exchange","year":2014,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Portfolio; Abnormal return; Stock market; Business; Rate of return on a portfolio; Value (mathematics); Financial economics; Econometrics; Economics; Monetary economics; Modern portfolio theory; Finance; Mathematics; Statistics","score_opus":0.06409083243367754,"score_gpt":0.25063868035216413,"score_spread":0.1865478479184866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098619760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980123,0.0005312373,0.000096534175,0.00022433954,0.000007351847,0.0000038193443,0.00011753492,0.0000030339188,0.0010039072],"genre_scores_gemma":[0.9986908,0.0005420016,0.00007104268,0.000036954618,0.000035054527,0.0000018481521,0.0003657339,0.0000018123607,0.00025474746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947745,0.00011371959,0.00006184543,0.000081231505,0.0001939937,0.000071829454],"domain_scores_gemma":[0.99028707,0.0045024115,0.0037177326,0.0003062009,0.0007446251,0.00044195546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013798125,0.00025660978,0.00030272454,0.0015888392,0.0002524687,0.00082691334,0.0003549945,0.0004799421,0.0019788586],"category_scores_gemma":[0.0069995685,0.00012400132,0.00041131076,0.0018243107,0.00037476668,0.00090815686,0.00039463013,0.0007882013,0.00034533665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115023,0.00008522737,0.98885685,0.000034143217,0.00011891996,0.00037232036,0.00037312406,0.00021144087,0.00029355826,0.00032274018,0.00032515608,0.008891617],"study_design_scores_gemma":[0.0000072452044,0.00009488679,0.9979632,0.000008665868,0.000053390675,0.00015392089,0.00043371183,0.0004637174,0.00013986818,0.00008660957,0.00058972737,0.0000051171114],"about_ca_topic_score_codex":0.006566003,"about_ca_topic_score_gemma":0.0052425954,"teacher_disagreement_score":0.006566003,"about_ca_system_score_codex":0.0002878996,"about_ca_system_score_gemma":0.0003435233,"threshold_uncertainty_score":0.013055563},"labels":[],"label_agreement":null},{"id":"W2098674798","doi":"10.1057/jam.2016.22","title":"The q-factor model and the redundancy of the value factor: An application to hedge funds","year":2016,"lang":"en","type":"article","venue":"Journal of Asset Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Hedge fund; Capital asset pricing model; Fund of funds; Alternative beta; Economics; Factor analysis; Open-end fund; Econometrics; Financial economics; Explanatory power; Arbitrage; Business; Monetary economics; Institutional investor; Finance; Market liquidity","score_opus":0.024041026628943734,"score_gpt":0.22994780804667816,"score_spread":0.20590678141773444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098674798","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06034771,0.0013251217,0.9303294,0.0018114721,0.0001533096,0.000038021477,0.00011115157,0.0001479522,0.0057359366],"genre_scores_gemma":[0.84962213,0.0020607575,0.13881357,0.00030604788,0.0005883776,0.000102776816,0.00013240548,0.00013163645,0.008242345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878186,0.00069976103,0.000062062674,0.00018682239,0.00017319541,0.000096247204],"domain_scores_gemma":[0.98561084,0.011609916,0.0007916013,0.00086408743,0.00085905846,0.0002644696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065418826,0.0010238478,0.0018334376,0.0012868893,0.0008260939,0.0021791935,0.001856224,0.0027550783,0.0048304666],"category_scores_gemma":[0.031684637,0.0008144773,0.0017247547,0.0019590193,0.002592688,0.0058676163,0.001562121,0.002233357,0.0005377229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119646735,0.00005274157,0.0015114533,0.00009610539,0.0000801222,0.0003129793,0.0002533165,0.12186242,0.00058239157,0.85089797,0.001968974,0.022261899],"study_design_scores_gemma":[0.000038077407,0.000029609191,0.00032231468,0.000014846467,0.000029269899,0.0000882632,0.000035917987,0.47648612,0.00009524915,0.5219363,0.0008968918,0.00002706721],"about_ca_topic_score_codex":0.007185299,"about_ca_topic_score_gemma":0.003712006,"teacher_disagreement_score":0.007185299,"about_ca_system_score_codex":0.0010316962,"about_ca_system_score_gemma":0.001485095,"threshold_uncertainty_score":0.03459716},"labels":[],"label_agreement":null},{"id":"W2098696466","doi":"10.2139/ssrn.1650205","title":"Do International Cross-Listings Still Matter?","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Business","score_opus":0.012433646860199715,"score_gpt":0.234896802698566,"score_spread":0.2224631558383663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098696466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.636758,0.034653127,0.0021432117,0.16123752,0.00422554,0.000049244834,0.0087376805,0.00032651724,0.15186915],"genre_scores_gemma":[0.9724892,0.0021838546,0.00014465343,0.008371147,0.0019944904,0.000009047204,0.0018254396,0.00010613878,0.01287606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980172,0.000512955,0.00013901571,0.0004631094,0.00028837516,0.00057936786],"domain_scores_gemma":[0.97058827,0.009969528,0.011638896,0.0011955441,0.0027291845,0.0038785315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042160163,0.00041806733,0.001103663,0.0015527849,0.0012399064,0.006025332,0.001155674,0.0029920693,0.055038493],"category_scores_gemma":[0.017800353,0.00018591581,0.0007112334,0.0030341588,0.0013667132,0.0068177595,0.00090806605,0.0022927523,0.006365398],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016082438,0.00047853022,0.69600224,0.0005068492,0.0011776306,0.0006617757,0.0012291437,0.00081085315,0.0004124671,0.04539516,0.14215915,0.10955801],"study_design_scores_gemma":[0.0003377631,0.0004793578,0.81901234,0.0008265099,0.0020163537,0.00057958806,0.009545159,0.002327345,0.0008645391,0.052713964,0.11117932,0.000117714364],"about_ca_topic_score_codex":0.0120821195,"about_ca_topic_score_gemma":0.018309861,"teacher_disagreement_score":0.055038493,"about_ca_system_score_codex":0.00089686195,"about_ca_system_score_gemma":0.00090649363,"threshold_uncertainty_score":0.18412209},"labels":[],"label_agreement":null},{"id":"W2099059022","doi":"10.32920/ryerson.14637378","title":"For Rich or for Poor: When does Uncovered Interest Parity Hold?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Irish Research Council; Irish Research Council for the Humanities and Social Sciences","keywords":"Economics; Parity (physics); Monetary economics; Liberian dollar; Interest rate parity; Precautionary savings; Interest rate; Habit; Purchasing power parity; Exchange rate; Psychology","score_opus":0.10733944618573135,"score_gpt":0.2677952082758701,"score_spread":0.16045576209013876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099059022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569305,0.0019612378,0.0022647341,0.016990773,0.000100017816,0.000025374853,0.0012907526,0.000026375708,0.020410227],"genre_scores_gemma":[0.9982889,0.00023109262,0.00015258174,0.00033099495,0.000036577556,0.0000096196345,0.000099623256,0.0000060095003,0.0008445568],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99934345,0.00020512819,0.000032276534,0.00011658975,0.00007119298,0.0002312527],"domain_scores_gemma":[0.99445796,0.0022387146,0.0017914115,0.00030736157,0.00034055716,0.00086399866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017906995,0.0001736726,0.00064293237,0.0011048776,0.0006264383,0.0023826363,0.000534673,0.0012627111,0.008481293],"category_scores_gemma":[0.01637688,0.00014887254,0.00031823185,0.001219227,0.0014129134,0.003436286,0.0013168437,0.0012341,0.0009225778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017280361,0.00028617,0.72749716,0.00029624722,0.0002277887,0.0038588524,0.0062991306,0.0019965533,0.0009274808,0.08293262,0.012845441,0.16110452],"study_design_scores_gemma":[0.0001332807,0.00044969923,0.62276655,0.00067112467,0.00021030397,0.0035953545,0.02892955,0.010247121,0.0014525583,0.30996317,0.021472406,0.000109020955],"about_ca_topic_score_codex":0.003674769,"about_ca_topic_score_gemma":0.0025233307,"teacher_disagreement_score":0.008481293,"about_ca_system_score_codex":0.00071096537,"about_ca_system_score_gemma":0.00037328337,"threshold_uncertainty_score":0.028372765},"labels":[],"label_agreement":null},{"id":"W2099065939","doi":"10.1002/ijfe.368","title":"International value versus growth: evidence from stochastic dominance analysis","year":2008,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stochastic dominance; Economics; Dominance (genetics); Growth stock; Value premium; Value (mathematics); Financial economics; Econometrics; Investment (military); Capital asset pricing model; Stock market; Geography; Statistics; Mathematics; Biology","score_opus":0.05078697498849197,"score_gpt":0.2517963212502034,"score_spread":0.20100934626171144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099065939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9295327,0.00088670274,0.035602935,0.0009120438,0.000021496866,0.000029617586,0.0003094597,0.000045825745,0.032659177],"genre_scores_gemma":[0.99849355,0.00019629828,0.00059844536,0.0000550972,0.000023657247,0.0000045947386,0.00010041015,0.000006390256,0.000521576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99732375,0.0009958827,0.00011980238,0.00037297356,0.00078398234,0.00040355086],"domain_scores_gemma":[0.9660118,0.023785578,0.005177063,0.0015634784,0.0023552645,0.0011067739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006770322,0.00035493745,0.00087805075,0.0017002652,0.0007401155,0.0028641024,0.00045887943,0.00054693583,0.004222355],"category_scores_gemma":[0.02751622,0.00019863635,0.00069010234,0.0014636382,0.0017283446,0.0018054319,0.0012934591,0.0007815459,0.0003474758],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092126674,0.00028429518,0.3834864,0.0003216308,0.0011086134,0.0009618372,0.0017946037,0.0652906,0.006221291,0.40164328,0.007328994,0.1306372],"study_design_scores_gemma":[0.00011826915,0.0003761727,0.17275017,0.00010456394,0.000417938,0.00077756215,0.0019323009,0.25594643,0.0031781695,0.5567275,0.007543334,0.00012761969],"about_ca_topic_score_codex":0.0045509306,"about_ca_topic_score_gemma":0.003611467,"teacher_disagreement_score":0.006770322,"about_ca_system_score_codex":0.0007460073,"about_ca_system_score_gemma":0.00055316946,"threshold_uncertainty_score":0.035805345},"labels":[],"label_agreement":null},{"id":"W2099125878","doi":"10.5430/ijfr.v1n1p55","title":"Development of Actively Managed Exchange Traded Funds and the Revelation to Chinese Financial Market","year":2010,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Revelation; Finance; Financial market; Product (mathematics)","score_opus":0.06407181124716727,"score_gpt":0.32316646825939166,"score_spread":0.2590946570122244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099125878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9281151,0.005477798,0.0048801852,0.008355709,0.00007778236,0.00004728445,0.00007951825,0.000027409475,0.052939266],"genre_scores_gemma":[0.9960381,0.0008331814,0.0005610079,0.00011167985,0.00004750954,0.000007013922,0.000010611573,0.0000014752006,0.0023895076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999585,0.00012666521,0.000024189996,0.000061226936,0.00010871178,0.00009428268],"domain_scores_gemma":[0.99904734,0.0002801539,0.0003199891,0.000058199923,0.00015184494,0.0001423843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015600036,0.00012984424,0.00017106923,0.00083752075,0.00072487694,0.0023629025,0.00041930683,0.00084349426,0.0021166117],"category_scores_gemma":[0.0034467147,0.000107726315,0.00026062017,0.000619781,0.0014449216,0.003076857,0.00073519687,0.0004782483,0.000066179375],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014532993,0.00005269448,0.037429746,0.00016039849,0.000027724323,0.0012626454,0.003792751,0.0013721064,0.0017717208,0.8990637,0.0031459974,0.05177511],"study_design_scores_gemma":[0.00021530896,0.0004833049,0.26473036,0.0004003549,0.00013361343,0.0030357132,0.009435063,0.04159838,0.006932098,0.48630863,0.18658713,0.00014006761],"about_ca_topic_score_codex":0.0041157166,"about_ca_topic_score_gemma":0.0025001431,"teacher_disagreement_score":0.0041157166,"about_ca_system_score_codex":0.0018342931,"about_ca_system_score_gemma":0.001468175,"threshold_uncertainty_score":0.0133087635},"labels":[],"label_agreement":null},{"id":"W2099378469","doi":"10.1111/j.1540-6261.2012.01743.x","title":"Investment, Idiosyncratic Risk, and Ownership","year":2012,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":668,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Shareholder; Systematic risk; Investment (military); Risk aversion (psychology); Incentive; Business; Perspective (graphical); Investment decisions; Microeconomics; Monetary economics; Finance; Economics; Financial economics; Corporate governance; Expected utility hypothesis; Behavioral economics","score_opus":0.03676073463359904,"score_gpt":0.21459147021833744,"score_spread":0.1778307355847384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099378469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923344,0.00042169177,0.0018479177,0.0003559358,0.0000048231486,0.000008400793,0.00004919227,0.0000061670426,0.004971383],"genre_scores_gemma":[0.99946505,0.000060766062,0.00009048636,0.000013210858,0.0000054309367,0.000001614662,0.000013444748,5.0111186e-7,0.00034950802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995653,0.00015927492,0.000038290415,0.000058737307,0.00007655794,0.000101944504],"domain_scores_gemma":[0.983651,0.005126209,0.00899311,0.00058886816,0.00049262156,0.0011482273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001449939,0.0002081983,0.00023124987,0.0003705676,0.00022439948,0.0014090523,0.00018922873,0.00047146057,0.0035934371],"category_scores_gemma":[0.00719312,0.00013540118,0.0001443083,0.00036528814,0.0006965459,0.000848554,0.00079755485,0.00053689856,0.0001609876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025434847,0.00026143718,0.92476654,0.00006393249,0.00018780898,0.00041162723,0.00030744748,0.018106962,0.0020039913,0.029725322,0.0006902004,0.023220345],"study_design_scores_gemma":[0.000046350986,0.00035317286,0.8681634,0.000087795124,0.00016273063,0.0005796375,0.0007735486,0.028152134,0.0018492858,0.0977997,0.001990484,0.000041825057],"about_ca_topic_score_codex":0.0008782428,"about_ca_topic_score_gemma":0.0010842269,"teacher_disagreement_score":0.0035934371,"about_ca_system_score_codex":0.00054696214,"about_ca_system_score_gemma":0.00028077417,"threshold_uncertainty_score":0.012021244},"labels":[],"label_agreement":null},{"id":"W2099734448","doi":"10.5539/ijef.v2n5p151","title":"Imposed Discipline of Payout Policy leads to Bankruptcy: The Deep Lack of Trust Conjecture","year":2010,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Leverage (statistics); Bankruptcy; Dividend; Shareholder; Dividend payout ratio; Corporate governance; Accounting scandals; Business; Payment; Economics; Monetary economics; Finance; Accounting; Dividend policy","score_opus":0.024347086287521538,"score_gpt":0.2620654059927582,"score_spread":0.23771831970523666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099734448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9121382,0.00086360855,0.054725874,0.010246372,0.00017251493,0.000035794143,0.00014252226,0.0001905804,0.021484448],"genre_scores_gemma":[0.997886,0.00021904291,0.00061626534,0.00009295608,0.00004285461,0.000009130913,0.0000138080195,0.000010505479,0.0011094288],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99927074,0.00019226263,0.00005335077,0.00015057011,0.00011602126,0.00021700672],"domain_scores_gemma":[0.9877182,0.0052996553,0.003773281,0.00166266,0.0006932928,0.0008529091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020616387,0.000312167,0.0008315674,0.00048895396,0.0010424078,0.002961977,0.0009660375,0.002219396,0.0043994086],"category_scores_gemma":[0.017753886,0.00051214267,0.001023082,0.00030396404,0.0038015929,0.003509772,0.0015343714,0.0020875272,0.0005323468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005425897,0.00028068028,0.023281809,0.00023815267,0.00016333375,0.0015636362,0.0008384729,0.13155194,0.0039775474,0.81381136,0.005249079,0.018501412],"study_design_scores_gemma":[0.00015413908,0.00019377674,0.007763172,0.00005694978,0.00008746254,0.00027165824,0.0002394123,0.38223535,0.0012050538,0.6066692,0.0010481217,0.00007577262],"about_ca_topic_score_codex":0.0033449316,"about_ca_topic_score_gemma":0.0009981561,"teacher_disagreement_score":0.0043994086,"about_ca_system_score_codex":0.0014003769,"about_ca_system_score_gemma":0.0010350868,"threshold_uncertainty_score":0.014717519},"labels":[],"label_agreement":null},{"id":"W2100359678","doi":"10.2139/ssrn.1416753","title":"Option-Implied Measures of Equity Risk","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto; Bank of Canada","funders":"","keywords":"Skewness; Equity (law); Implied volatility; Volatility (finance); Economics; Econometrics; Valuation of options; Volatility smile; BETA (programming language); Actuarial science; Financial economics; Computer science","score_opus":0.035800327771022024,"score_gpt":0.24233463765640265,"score_spread":0.20653430988538063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100359678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61421233,0.0024043848,0.3631432,0.0023857818,0.00020240253,0.00006843307,0.00219801,0.00028910185,0.015096286],"genre_scores_gemma":[0.9842433,0.00066116237,0.011386886,0.00006440945,0.0001292562,0.0000476572,0.0006742316,0.000024927795,0.0027680187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985618,0.0006532051,0.00011511693,0.00016197376,0.0003974448,0.000110403955],"domain_scores_gemma":[0.98241156,0.01082853,0.0030507597,0.0015299194,0.0013899626,0.00078917935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005095487,0.0008539078,0.00057031,0.0018723131,0.00026059456,0.0028225228,0.0013813548,0.001425389,0.0067666033],"category_scores_gemma":[0.032448262,0.00027548574,0.00049345655,0.00191882,0.0010618914,0.0076011308,0.0013282348,0.0019352821,0.00039155973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016360116,0.00013177503,0.012425484,0.0001301617,0.00011665583,0.000103424005,0.00024101537,0.048795655,0.0013987558,0.91199607,0.0015290997,0.02296838],"study_design_scores_gemma":[0.00002237623,0.00010037861,0.009359341,0.0000700471,0.000037331916,0.00014814877,0.00011420549,0.21644916,0.00087262905,0.7714705,0.0013054569,0.000050439758],"about_ca_topic_score_codex":0.0002712821,"about_ca_topic_score_gemma":0.00034853764,"teacher_disagreement_score":0.0067666033,"about_ca_system_score_codex":0.0008199965,"about_ca_system_score_gemma":0.00045929188,"threshold_uncertainty_score":0.026947796},"labels":[],"label_agreement":null},{"id":"W2100412328","doi":"10.17016/feds.2015.020","title":"Downside Variance Risk Premium","year":2015,"lang":"en","type":"article","venue":"Finance and Economics Discussion Series","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Bank of Canada","funders":"","keywords":"Variance risk premium; Downside risk; Risk premium; Skewness; Equity premium puzzle; Economics; Volatility risk premium; Liquidity premium; Econometrics; Capital asset pricing model; Variance (accounting); Equity risk; Financial economics; Volatility (finance); Portfolio; Implied volatility; Valuation (finance); Liquidity risk; Monetary economics; Market liquidity; Finance","score_opus":0.029177564117470682,"score_gpt":0.20297823002774304,"score_spread":0.17380066591027235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100412328","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.388822,0.0026872456,0.5574936,0.0033130595,0.0003271566,0.00015411587,0.0009666651,0.00054656,0.045689642],"genre_scores_gemma":[0.97511613,0.0009141682,0.014881965,0.00024179641,0.00034216113,0.00003493185,0.00029449517,0.000048926624,0.008125358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994148,0.00006198681,0.000032011216,0.00011696403,0.00026039145,0.00011382389],"domain_scores_gemma":[0.9986527,0.00035005854,0.00038735516,0.00016621691,0.00030678982,0.00013682232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082736026,0.0006566015,0.00052757823,0.0009684473,0.00021521376,0.0017236517,0.0006838943,0.0006796301,0.004483342],"category_scores_gemma":[0.0032540916,0.00023906332,0.00080955727,0.00045172145,0.0007059479,0.0016613195,0.0011455778,0.0015986825,0.0005186304],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010995223,0.0002183321,0.058557104,0.00014938081,0.00029074668,0.0008027643,0.00038261476,0.072966546,0.014501752,0.7612772,0.006111736,0.08463185],"study_design_scores_gemma":[0.000039476712,0.00018763317,0.06308315,0.00011612238,0.00017189655,0.00080265175,0.00018830091,0.2815455,0.005264942,0.63618183,0.012291251,0.00012723809],"about_ca_topic_score_codex":0.0014105728,"about_ca_topic_score_gemma":0.0011570393,"teacher_disagreement_score":0.004483342,"about_ca_system_score_codex":0.00060409243,"about_ca_system_score_gemma":0.00064437214,"threshold_uncertainty_score":0.014998257},"labels":[],"label_agreement":null},{"id":"W2100426586","doi":"","title":"The Implications of VaR and Short-Selling Restrictions on the Portfolio Manager Performance","year":2013,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Cape Town; Université Laval","keywords":"Portfolio; Business; Constraint (computer-aided design); Quality (philosophy); Hedge; Rate of return on a portfolio; Hedge fund; Finance; Financial economics; Economics; Portfolio optimization; Engineering","score_opus":0.0406110740475779,"score_gpt":0.19833409825700687,"score_spread":0.15772302420942896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100426586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932372,0.0002815402,0.0021461488,0.00042509113,0.000009712141,0.000011233998,0.00008199775,0.000017677166,0.0037894428],"genre_scores_gemma":[0.9993043,0.00004904734,0.0002410916,0.000024828358,0.000008641128,0.000003881183,0.00003322823,0.000002732246,0.00033206897],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790823,0.0007488216,0.00018504926,0.00022777518,0.00047735826,0.00045270086],"domain_scores_gemma":[0.9609429,0.023568192,0.00976636,0.001918731,0.001065264,0.002738526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005533257,0.0003958315,0.000536644,0.00045306457,0.0002922077,0.0023435103,0.00045276122,0.0009871043,0.0035350213],"category_scores_gemma":[0.025835726,0.00018392342,0.00040377976,0.00044953972,0.0007706055,0.0015885283,0.001018792,0.0009283344,0.00044184705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051352647,0.0019643577,0.6847272,0.0003606918,0.0010341757,0.0016580656,0.0010098569,0.14973876,0.038575303,0.031526912,0.0022157554,0.08205363],"study_design_scores_gemma":[0.0002725113,0.003243442,0.8551863,0.000059673665,0.00024198623,0.00058974646,0.0013254827,0.09848217,0.014639765,0.024278147,0.0015322499,0.00014848956],"about_ca_topic_score_codex":0.0009462797,"about_ca_topic_score_gemma":0.0006242215,"teacher_disagreement_score":0.005533257,"about_ca_system_score_codex":0.0005259083,"about_ca_system_score_gemma":0.0004888538,"threshold_uncertainty_score":0.02926302},"labels":[],"label_agreement":null},{"id":"W2100748223","doi":"10.2139/ssrn.387220","title":"Analysts, Industries, and Price Momentum","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Momentum (technical analysis); Economics; Econometrics; Financial economics","score_opus":0.01572244423323429,"score_gpt":0.19526427265645854,"score_spread":0.17954182842322425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100748223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9599439,0.0044854474,0.0007722462,0.0065070624,0.000085676875,0.00001102364,0.0002196294,0.000033355147,0.027941665],"genre_scores_gemma":[0.9971257,0.00080423173,0.00010359272,0.00013364408,0.00015036216,0.000002934283,0.00006514448,0.000005014849,0.001609348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997029,0.0000824112,0.000026475518,0.000041717987,0.00008046737,0.00006610739],"domain_scores_gemma":[0.9782853,0.013726215,0.0057275337,0.00032789345,0.0006225443,0.0013105086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013866171,0.00021140267,0.00026228259,0.002068925,0.00070554344,0.005309185,0.0002865851,0.0013529577,0.012169185],"category_scores_gemma":[0.021075876,0.00016447126,0.00016011806,0.0024735618,0.0010901889,0.00344824,0.0008299474,0.0010106271,0.00072489865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084009464,0.00034907003,0.9200996,0.000046664758,0.000103135324,0.00043938018,0.0013342599,0.0012053538,0.00042613145,0.02912609,0.0045528053,0.041477352],"study_design_scores_gemma":[0.00019893594,0.00024087074,0.8895373,0.000099086756,0.00022690356,0.00052935723,0.006800009,0.004118184,0.00036977758,0.08804762,0.009785748,0.0000461528],"about_ca_topic_score_codex":0.0040957103,"about_ca_topic_score_gemma":0.0057965303,"teacher_disagreement_score":0.012169185,"about_ca_system_score_codex":0.00055765413,"about_ca_system_score_gemma":0.00068386464,"threshold_uncertainty_score":0.040709972},"labels":[],"label_agreement":null},{"id":"W2100939679","doi":"10.1007/s10957-007-9249-2","title":"An Algorithm for Portfolio Optimization with Variable Transaction Costs, Part 2: Computational Analysis","year":2007,"lang":"en","type":"article","venue":"Journal of Optimization Theory and Applications","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematical optimization; Transaction cost; Computer science; Variable (mathematics); Portfolio optimization; Portfolio; Optimization problem; Point (geometry); Sequence (biology); Algorithm; Mathematics; Economics; Financial economics","score_opus":0.01039593642916784,"score_gpt":0.2283072835997105,"score_spread":0.21791134717054267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100939679","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057892087,0.00028589158,0.99131846,0.00023127049,0.00007327236,0.000065714885,0.000046792004,0.00026089078,0.0019285007],"genre_scores_gemma":[0.081466086,0.00029061682,0.91431314,0.00015376335,0.000105692394,0.00043478204,0.00016003991,0.000198316,0.0028775788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923885,0.00032403687,0.000057505586,0.00011736353,0.00018882996,0.000073488365],"domain_scores_gemma":[0.99638534,0.0026590957,0.0001338718,0.00032718008,0.000391825,0.00010264591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018644434,0.0011253549,0.0015962868,0.0011109916,0.0007470015,0.0015312808,0.002085754,0.0025111565,0.008058023],"category_scores_gemma":[0.008964866,0.0007904868,0.0011029767,0.0018842788,0.00087791315,0.0026783021,0.0021912248,0.002110451,0.0012060055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020701831,0.00019402236,0.0007221494,0.00013922402,0.00009376477,0.000066828325,0.00007736793,0.69680077,0.0010589156,0.042497486,0.0056786994,0.25246373],"study_design_scores_gemma":[0.000039204762,0.00001856581,0.00005638996,0.000007502953,0.000008123907,0.000017305054,0.0000041394755,0.9831004,0.00015323967,0.016018203,0.00057322514,0.0000037410675],"about_ca_topic_score_codex":0.002884491,"about_ca_topic_score_gemma":0.0031199846,"teacher_disagreement_score":0.008058023,"about_ca_system_score_codex":0.0007978114,"about_ca_system_score_gemma":0.001957125,"threshold_uncertainty_score":0.026956737},"labels":[],"label_agreement":null},{"id":"W2101095843","doi":"10.5267/j.msl.2014.9.019","title":"A risk-return based model to measure the performance of portfolio management","year":2014,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Portfolio; Risk measure; Computer science; Econometrics; Business; Actuarial science; Risk analysis (engineering); Economics; Finance; Data mining","score_opus":0.019833086084952323,"score_gpt":0.19327303014168104,"score_spread":0.17343994405672872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101095843","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12070871,0.0013267744,0.8642083,0.0008092746,0.00016792651,0.00031027017,0.0009322167,0.00080921757,0.010727187],"genre_scores_gemma":[0.93412584,0.0010609342,0.052286204,0.00018497946,0.000111607806,0.00043613167,0.0008588298,0.00006451768,0.010871017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99789584,0.0008003361,0.00013980405,0.00044016854,0.0005150749,0.00020875629],"domain_scores_gemma":[0.99777395,0.0011247931,0.0005294133,0.00022958066,0.0002811438,0.000061018633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031551893,0.0016227963,0.00080301776,0.0018097217,0.00036581556,0.0020992404,0.0019198203,0.0019202406,0.0033101155],"category_scores_gemma":[0.006983394,0.0003118267,0.0011173807,0.001778915,0.00071775744,0.002876731,0.0009548827,0.0017866453,0.0012525074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002511831,0.00033863168,0.029285528,0.00021246696,0.00036167953,0.0003334456,0.00024184903,0.81438273,0.0045275115,0.07080875,0.002984222,0.07627203],"study_design_scores_gemma":[0.000016787402,0.00033301802,0.0054195235,0.000023992117,0.000051262323,0.00023632222,0.000054233824,0.97076964,0.00089767936,0.01968693,0.0024702079,0.000040411767],"about_ca_topic_score_codex":0.0044730487,"about_ca_topic_score_gemma":0.0024773735,"teacher_disagreement_score":0.0044730487,"about_ca_system_score_codex":0.0011834494,"about_ca_system_score_gemma":0.0007290957,"threshold_uncertainty_score":0.01668644},"labels":[],"label_agreement":null},{"id":"W2101597283","doi":"10.1093/rfs/hhi007","title":"Short-Term Persistence in Mutual Fund Performance","year":2004,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":691,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decile; Econometrics; Ranking (information retrieval); Mutual fund; Economics; Persistence (discontinuity); Market timing; Stock (firearms); Basis point; Quarter (Canadian coin); Term (time); Passive management; Statistics; Financial economics; Actuarial science; Mathematics; Monetary economics; Geography; Computer science; Bond; Finance; Fund of funds","score_opus":0.12420202602021986,"score_gpt":0.2845084506816787,"score_spread":0.16030642466145884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101597283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996305,0.000722063,0.0014272298,0.00017367663,0.000008321624,0.0000062233903,0.00048203292,0.00003342943,0.0008420456],"genre_scores_gemma":[0.99880147,0.0001730867,0.00017811028,0.000013874488,0.000016312713,0.0000053756535,0.00049036974,0.000004431365,0.00031698158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989768,0.00023473658,0.00012848024,0.0002607263,0.00027684722,0.00012237919],"domain_scores_gemma":[0.9853528,0.00457693,0.007679828,0.0011629617,0.00083370856,0.0003936422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028023776,0.00021992862,0.00037496933,0.0015104682,0.00016732472,0.0010606191,0.0004362691,0.00068505475,0.0012814086],"category_scores_gemma":[0.021724496,0.00017846655,0.00032638756,0.0019078292,0.0003625766,0.0010506265,0.0006485593,0.0005307207,0.0005149826],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019116985,0.00008990671,0.9639772,0.000052775657,0.00025259535,0.00013996894,0.00027763212,0.007600174,0.0013465862,0.0016439961,0.00076024316,0.023667699],"study_design_scores_gemma":[0.000009731947,0.00012261485,0.97072047,0.000020638283,0.00007363401,0.00019135948,0.00015462322,0.024313575,0.00065534026,0.0025918605,0.0011201286,0.000025930285],"about_ca_topic_score_codex":0.0044985847,"about_ca_topic_score_gemma":0.004661608,"teacher_disagreement_score":0.0044985847,"about_ca_system_score_codex":0.00066277105,"about_ca_system_score_gemma":0.0003080081,"threshold_uncertainty_score":0.014820516},"labels":[],"label_agreement":null},{"id":"W2102342434","doi":"10.1111/j.1755-053x.2011.01144.x","title":"Resolving the Presidential Puzzle","year":2011,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Presidential system; Economics; Democracy; Stock (firearms); Differential (mechanical device); Financial economics; Default risk; Politics; Stock market; Monetary economics; Econometrics; Political science; Actuarial science; Credit risk; Law; History","score_opus":0.04383946173431248,"score_gpt":0.1895039265125776,"score_spread":0.1456644647782651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102342434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5505152,0.017376168,0.0129032545,0.31390792,0.0033081297,0.000026572721,0.0008067355,0.00023470739,0.10092138],"genre_scores_gemma":[0.98210746,0.0020846108,0.00097468984,0.0075539863,0.0020955268,0.00000935084,0.00013597135,0.000047167072,0.004991145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976618,0.0012529459,0.00007446431,0.0003100544,0.0003665961,0.0003342167],"domain_scores_gemma":[0.98171544,0.009670378,0.003880936,0.001991104,0.0016736297,0.0010685018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008266444,0.00026204612,0.00076362805,0.00075806584,0.0013834586,0.0033904023,0.00062133005,0.002920291,0.012168875],"category_scores_gemma":[0.04399091,0.00021098623,0.0003260094,0.00094279385,0.0015431517,0.0045669787,0.0018012697,0.0034135883,0.0015317372],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005814577,0.00028438627,0.06393655,0.0002790414,0.00026604105,0.00092064566,0.0032116426,0.0052205524,0.0010758373,0.588904,0.16133796,0.17398192],"study_design_scores_gemma":[0.00024623884,0.00029424593,0.08965777,0.0004427213,0.00016188272,0.0010483986,0.006014584,0.015291739,0.0014142531,0.6005386,0.2847842,0.00010538583],"about_ca_topic_score_codex":0.002238936,"about_ca_topic_score_gemma":0.0023900147,"teacher_disagreement_score":0.012168875,"about_ca_system_score_codex":0.00081930176,"about_ca_system_score_gemma":0.0012275659,"threshold_uncertainty_score":0.043717682},"labels":[],"label_agreement":null},{"id":"W2102715253","doi":"10.2139/ssrn.885062","title":"Diversification Benefits of Treasury Inflation Protected Securities: An Empirical Puzzle","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Treasury; Diversification (marketing strategy); Economics; Monetary economics; Business; Hybrid security; Financial economics; Financial system; Private placement; Investment banking; Geography","score_opus":0.022952020680673035,"score_gpt":0.2185908480697192,"score_spread":0.19563882738904617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102715253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990338,0.0012801033,0.0004900422,0.0019809117,0.0000108501845,0.0000051972547,0.00008465898,0.000012331966,0.005797791],"genre_scores_gemma":[0.9992205,0.0002468212,0.00006791151,0.00008126516,0.000023903105,0.0000010293356,0.000037607195,0.000002124376,0.0003187309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997012,0.00008332057,0.000024202503,0.000047044796,0.000066776964,0.00007742511],"domain_scores_gemma":[0.98690563,0.005555652,0.004489227,0.0013169711,0.00058422494,0.0011482522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002058151,0.00023926217,0.00046931193,0.00067512284,0.00041983998,0.0022382215,0.000445803,0.0015531849,0.005813143],"category_scores_gemma":[0.012570796,0.00020749833,0.00043272556,0.0006409709,0.0009744523,0.0024318034,0.000961109,0.0014855334,0.0005509644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0060310876,0.0013201194,0.58468974,0.00042129983,0.0010731514,0.0017039406,0.0022612072,0.017817086,0.021862624,0.19256371,0.008930336,0.16132566],"study_design_scores_gemma":[0.00043526533,0.0006864672,0.7315094,0.00015647121,0.00045995766,0.0013515787,0.0017870938,0.014511641,0.0030513012,0.23960088,0.006394183,0.000055673223],"about_ca_topic_score_codex":0.00061459636,"about_ca_topic_score_gemma":0.0007895635,"teacher_disagreement_score":0.005813143,"about_ca_system_score_codex":0.00049358595,"about_ca_system_score_gemma":0.00033532007,"threshold_uncertainty_score":0.01944691},"labels":[],"label_agreement":null},{"id":"W2102981204","doi":"10.7202/600972ar","title":"Une méthode asymptotique pour tester la validité du modèle d’équilibre d’actifs financiers (MEDAF) avec pour exemple la bourse de Paris","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Market portfolio; Mathematics; Capital asset pricing model; Portfolio; Econometrics; Statistics; Proxy (statistics); Stock exchange; Economics; Financial economics","score_opus":0.05043806355449245,"score_gpt":0.2325506300402393,"score_spread":0.18211256648574684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102981204","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020143937,0.00024628307,0.9761875,0.00015251809,0.00007394272,0.0001541131,0.00039069206,0.00080571335,0.0018453324],"genre_scores_gemma":[0.3759339,0.0005670059,0.61637616,0.00019104575,0.00019546141,0.0017207768,0.0014367189,0.0005109316,0.003067985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98124737,0.012197055,0.0009000408,0.0025350503,0.00241627,0.0007042444],"domain_scores_gemma":[0.9052234,0.08326338,0.002748938,0.004793186,0.0034737424,0.0004972334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025324218,0.0021982882,0.002537046,0.004901506,0.0013540018,0.0025176397,0.0020793967,0.002412867,0.008901471],"category_scores_gemma":[0.10851756,0.0010863909,0.0035597933,0.00309281,0.0022369153,0.0034888412,0.0021697837,0.00560326,0.001783803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011441029,0.00036602144,0.044332422,0.0006632509,0.0013685619,0.0008609519,0.0012992102,0.48965478,0.009840273,0.16977337,0.005009461,0.2756876],"study_design_scores_gemma":[0.00013536432,0.0002962349,0.010233784,0.00013160887,0.00009580996,0.00043971324,0.00017751288,0.92843807,0.0037102734,0.048727706,0.0074610794,0.00015283737],"about_ca_topic_score_codex":0.022513058,"about_ca_topic_score_gemma":0.008621504,"teacher_disagreement_score":0.025324218,"about_ca_system_score_codex":0.0018688312,"about_ca_system_score_gemma":0.003203453,"threshold_uncertainty_score":0.13392884},"labels":[],"label_agreement":null},{"id":"W2103002266","doi":"","title":"Mean-Preserving-Spread Risk Aversion and The CAPM","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Capital asset pricing model; Economics; Risk aversion (psychology); Simple (philosophy); Asset (computer security); Econometrics; Variance (accounting); Mutual fund separation theorem; Financial economics; Mathematical economics; Expected utility hypothesis; Portfolio; Computer science","score_opus":0.03535499240110993,"score_gpt":0.2580013310460291,"score_spread":0.2226463386449192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103002266","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29280064,0.0012366774,0.5464953,0.005189823,0.00019498527,0.00012363473,0.00029907623,0.00023324911,0.15342654],"genre_scores_gemma":[0.9775059,0.00026740972,0.016255789,0.00028166195,0.00012478807,0.000058178135,0.00003794362,0.00002116736,0.0054471157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989949,0.0002793684,0.000038926148,0.00021549698,0.00022773916,0.00024363343],"domain_scores_gemma":[0.99734145,0.0013093173,0.0004622934,0.0002724961,0.00037733754,0.00023706978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014642599,0.00048800133,0.00063744845,0.0007143245,0.00076087506,0.0017025345,0.0008914236,0.0012586297,0.005831432],"category_scores_gemma":[0.0074548335,0.00027277548,0.00076501846,0.0004320839,0.0021013252,0.0025085015,0.0017886482,0.0019517249,0.0006433523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020145233,0.000027985561,0.0003665429,0.00003628245,0.000013665048,0.00015066967,0.00010872209,0.0070167514,0.0012411877,0.98375607,0.0012252846,0.0060365805],"study_design_scores_gemma":[0.000020413727,0.000042258067,0.0006671723,0.000025168796,0.000009866624,0.00024101368,0.00007862403,0.057580214,0.0006323987,0.9378083,0.0028745052,0.000020047415],"about_ca_topic_score_codex":0.00088287506,"about_ca_topic_score_gemma":0.000509299,"teacher_disagreement_score":0.005831432,"about_ca_system_score_codex":0.0010510074,"about_ca_system_score_gemma":0.0010134233,"threshold_uncertainty_score":0.019508064},"labels":[],"label_agreement":null},{"id":"W2103167738","doi":"10.4236/ti.2010.11004","title":"Stylistic Differences across Hedge Funds as Revealed by Historical Monthly Returns","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hedge fund; Returns-based style analysis; Diversification (marketing strategy); Alternative beta; Business; Equity (law); Arbitrage; Fund of funds; Market neutral; Financial economics; Open-end fund; Economics; Fund administration; Finance; Institutional investor; Marketing; Corporate governance","score_opus":0.018975417505747334,"score_gpt":0.22076054774698559,"score_spread":0.20178513024123826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103167738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96486783,0.0003653237,0.028977787,0.00013775914,0.000020466405,0.000042022257,0.00095915614,0.00012314957,0.004506497],"genre_scores_gemma":[0.9931069,0.0001423192,0.0059319492,0.000009162518,0.000014129053,0.000015821315,0.00043467124,0.000010805076,0.0003343626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995431,0.00009055066,0.000060118855,0.000085890155,0.00017032544,0.00005008285],"domain_scores_gemma":[0.9969632,0.0014511662,0.00085319055,0.00033526635,0.0003006238,0.00009656816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012062415,0.00017984356,0.00032576767,0.0023801234,0.0002994781,0.0013990785,0.00023153097,0.00029803603,0.00085635914],"category_scores_gemma":[0.00860085,0.00014492248,0.0002592507,0.0022051476,0.00036124774,0.00071518676,0.00037995607,0.00032313133,0.00019053664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060959207,0.0001211992,0.6529447,0.00025159275,0.0004104439,0.0008322916,0.0032301592,0.04297576,0.02669851,0.039970793,0.0033966643,0.22855835],"study_design_scores_gemma":[0.00001908193,0.00011210615,0.8787724,0.00002965937,0.00010202008,0.00090496824,0.0006116154,0.0934569,0.004294536,0.015823174,0.0057921032,0.00008161155],"about_ca_topic_score_codex":0.0015751206,"about_ca_topic_score_gemma":0.0023817453,"teacher_disagreement_score":0.0023801234,"about_ca_system_score_codex":0.00051854464,"about_ca_system_score_gemma":0.00021642371,"threshold_uncertainty_score":0.0063792467},"labels":[],"label_agreement":null},{"id":"W2103175468","doi":"10.1016/j.jfineco.2012.11.010","title":"Cross section of option returns and idiosyncratic stock volatility","year":2012,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Chinese University of Hong Kong","keywords":"Volatility (finance); Financial economics; Economics; Stock (firearms); Implied volatility; Econometrics; Monetary economics; Geography","score_opus":0.029349301423476543,"score_gpt":0.23318856103104957,"score_spread":0.20383925960757301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103175468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99470866,0.0003307307,0.003152669,0.00026575386,0.000011962102,0.0000041995927,0.00020271161,0.000031451116,0.001291753],"genre_scores_gemma":[0.9980124,0.00015355006,0.00021638774,0.000024802102,0.00003003365,0.0000035962632,0.0003120179,0.000008034039,0.0012392227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997321,0.00008306403,0.00002044866,0.00006218461,0.00004036894,0.00006179809],"domain_scores_gemma":[0.98304176,0.012865889,0.0015890503,0.0010135989,0.0005723156,0.0009173754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027874613,0.0003103793,0.00046595067,0.0012557044,0.00023024906,0.001473287,0.00053637376,0.0012467788,0.007382548],"category_scores_gemma":[0.010000867,0.00055406254,0.00069300487,0.00090397545,0.00039402305,0.0015665845,0.00078428956,0.0010073195,0.0008804662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007102748,0.00037042075,0.8928018,0.000058730093,0.0011935624,0.0015020693,0.0004503192,0.04000361,0.0069032786,0.036216915,0.0012644833,0.0185245],"study_design_scores_gemma":[0.000044027736,0.00019463908,0.8479475,0.00003011521,0.00038646374,0.0012769734,0.00026433653,0.11337587,0.0017077308,0.03359503,0.0010909832,0.00008637204],"about_ca_topic_score_codex":0.0013317581,"about_ca_topic_score_gemma":0.00147583,"teacher_disagreement_score":0.007382548,"about_ca_system_score_codex":0.0002946929,"about_ca_system_score_gemma":0.00015644709,"threshold_uncertainty_score":0.024697065},"labels":[],"label_agreement":null},{"id":"W2103610113","doi":"10.2139/ssrn.232394","title":"The Relative Importance of Stock, Bond and Real Estate Factors in Explaining REIT Returns","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Real estate investment trust; Stock (firearms); Bond; Financial economics; Real estate; Business; Economics; Econometrics; Finance; Geography","score_opus":0.016191167046749597,"score_gpt":0.21620667976929353,"score_spread":0.20001551272254392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103610113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99195236,0.0012460457,0.0011390225,0.000508005,0.000034225286,0.000016095666,0.00029747965,0.000023805942,0.0047829584],"genre_scores_gemma":[0.9975011,0.00032750118,0.00019065719,0.0000327725,0.000055425116,0.0000031230504,0.00018635734,0.0000115016965,0.001691506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907935,0.00042140615,0.00008967259,0.00012623692,0.00011702685,0.00016623782],"domain_scores_gemma":[0.97632164,0.018080544,0.0022340028,0.0012117438,0.0008139811,0.0013380535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033458266,0.0009330818,0.0005578833,0.0018482871,0.00066375046,0.003907814,0.0008481422,0.001480396,0.008971487],"category_scores_gemma":[0.01474764,0.00041591006,0.0011977684,0.0014609131,0.0010262736,0.0021189535,0.00089689705,0.001980562,0.0017348944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056818186,0.00024930798,0.9771977,0.00005727258,0.00057552394,0.00047175365,0.00030524656,0.005824655,0.0010779797,0.0022634296,0.0004760993,0.010932869],"study_design_scores_gemma":[0.000064152606,0.00019671179,0.9583139,0.00005306421,0.0009066666,0.00038408404,0.0011108939,0.03202766,0.000849374,0.0044061644,0.0016443733,0.000043012602],"about_ca_topic_score_codex":0.02265451,"about_ca_topic_score_gemma":0.023085823,"teacher_disagreement_score":0.02265451,"about_ca_system_score_codex":0.00055208884,"about_ca_system_score_gemma":0.0005991794,"threshold_uncertainty_score":0.045045257},"labels":[],"label_agreement":null},{"id":"W2103650532","doi":"10.1093/rfs/hhu059","title":"Investor Attention and Stock Market Volatility","year":2014,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":550,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Volatility (finance); Econometrics; Economics; Stock (firearms); Financial economics; Stock market; Variance (accounting); Risk premium; Capital asset pricing model; Quadratic equation","score_opus":0.049838337395920376,"score_gpt":0.2632893502209316,"score_spread":0.21345101282501122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103650532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9552415,0.016401248,0.009439261,0.0028350425,0.00005494872,0.000015365922,0.000113870614,0.000024145096,0.015874585],"genre_scores_gemma":[0.99694484,0.0020074677,0.00027307702,0.000087321365,0.00007767412,0.0000035175844,0.000021801736,0.0000016148261,0.0005827101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997036,0.00013716903,0.000013470111,0.000041794196,0.000051948973,0.000051979005],"domain_scores_gemma":[0.99110293,0.0065754657,0.0017519614,0.00012228359,0.0002625581,0.00018489503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010626069,0.0002474779,0.00030680388,0.0006364814,0.00013465683,0.0012025824,0.00031061316,0.0007835612,0.0018644521],"category_scores_gemma":[0.0096494425,0.00012306719,0.00024296955,0.00063415087,0.00029782753,0.0009900045,0.00044160997,0.0005333613,0.00020070521],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009802298,0.00070480973,0.52387935,0.0006944513,0.0011582343,0.0010283754,0.0015496005,0.047369245,0.007761204,0.1392636,0.0045509557,0.27105993],"study_design_scores_gemma":[0.00009199292,0.0005467873,0.6196161,0.00026964347,0.0007656703,0.00065968494,0.00076672516,0.1194601,0.0022399225,0.24902448,0.0064792493,0.000079643236],"about_ca_topic_score_codex":0.0013206293,"about_ca_topic_score_gemma":0.0011328927,"teacher_disagreement_score":0.0018644521,"about_ca_system_score_codex":0.00059773086,"about_ca_system_score_gemma":0.00021584361,"threshold_uncertainty_score":0.0062372684},"labels":[],"label_agreement":null},{"id":"W2103836330","doi":"10.17722/ijrbt.v2i3.66","title":"The Volatility of Market Risk In Groups of Viet Nam Listed Hotel and Tourism Company Groups during the Financial Crisis 2007-2009","year":2013,"lang":"en","type":"article","venue":"International Journal of Research in Business and Technology","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Volatility (finance); Tourism; Financial crisis; Finance; Financial system; Accounting; Economics; Geography","score_opus":0.02175903383776248,"score_gpt":0.26594476547739104,"score_spread":0.24418573163962856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103836330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995647,0.000034591034,0.000013427547,0.000028673556,0.0000014529062,0.0000015006284,0.00013704956,0.0000010326589,0.00021761963],"genre_scores_gemma":[0.99964345,0.000013777386,0.000008081569,0.000006104391,0.000002209123,0.0000014643651,0.00021122204,4.4965972e-7,0.00011321103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998211,0.00003344582,0.000016736816,0.000032124375,0.000033741882,0.00006290133],"domain_scores_gemma":[0.9988662,0.00013523358,0.0005498234,0.00005514542,0.00016091688,0.00023277214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033013258,0.00012926805,0.00016082345,0.00074342266,0.00023141444,0.0006209222,0.00023084432,0.00026711813,0.00080193114],"category_scores_gemma":[0.0014933839,0.00006995711,0.00018174255,0.0006324406,0.00014893587,0.00029057832,0.00031532565,0.00022397345,0.00013309917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078432124,0.00001671272,0.9960555,0.0000040866935,0.000029394576,0.0001298479,0.00053799764,0.00020857944,0.00024783693,0.00008264624,0.0002579661,0.0023510235],"study_design_scores_gemma":[0.0000012751641,0.000019741437,0.99813616,0.000004146539,0.000004762353,0.000063306856,0.0007225031,0.00079787313,0.000070763046,0.00002824262,0.0001484145,0.0000029191247],"about_ca_topic_score_codex":0.018224712,"about_ca_topic_score_gemma":0.017386911,"teacher_disagreement_score":0.018224712,"about_ca_system_score_codex":0.0005864324,"about_ca_system_score_gemma":0.00022322431,"threshold_uncertainty_score":0.0362373},"labels":[],"label_agreement":null},{"id":"W2103852424","doi":"10.1142/s201013921550010x","title":"Asset Return Predictability in a Heterogeneous Agent Equilibrium Model","year":2015,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Predictability; Economics; Portfolio; Econometrics; General equilibrium theory; Consumption (sociology); Asset (computer security); Portfolio optimization; Simple (philosophy); Microeconomics; Computer science; Financial economics; Mathematics; Statistics","score_opus":0.05197903041761251,"score_gpt":0.2403870964044266,"score_spread":0.1884080659868141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103852424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79971355,0.00017912175,0.18641096,0.0012079441,0.00004348107,0.00007620279,0.00037212193,0.00029679085,0.01169991],"genre_scores_gemma":[0.99110633,0.00007359321,0.0067648087,0.00005685655,0.000012463288,0.00002905874,0.00007687205,0.000017095219,0.0018630194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992244,0.00038030604,0.000040881954,0.000136528,0.00010511382,0.000112817135],"domain_scores_gemma":[0.99635625,0.0022602254,0.0006161679,0.00038107313,0.00020517886,0.00018120375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024279638,0.00057924335,0.0010657939,0.00059220573,0.00038627954,0.001718122,0.0009771287,0.0011721897,0.002590107],"category_scores_gemma":[0.00851515,0.00031931256,0.0005483402,0.00054623146,0.0008916653,0.0017031765,0.00096259033,0.0011080005,0.00027667152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013995195,0.00011594029,0.0034957854,0.000026791116,0.0000484662,0.00023586425,0.0001507461,0.79716456,0.0011420421,0.19297647,0.00071673846,0.0037867206],"study_design_scores_gemma":[0.000041839652,0.000031131578,0.00058928324,0.0000031237257,0.000009588539,0.000015479565,0.000016904378,0.9613945,0.00012307132,0.03753289,0.00023056845,0.000011625258],"about_ca_topic_score_codex":0.007023858,"about_ca_topic_score_gemma":0.003666895,"teacher_disagreement_score":0.007023858,"about_ca_system_score_codex":0.0009997688,"about_ca_system_score_gemma":0.00073443045,"threshold_uncertainty_score":0.013965964},"labels":[],"label_agreement":null},{"id":"W2103910452","doi":"10.1287/mnsc.48.3.427.7725","title":"A Mean-Variance Analysis of Self-Financing Portfolios","year":2002,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; University of Washington; Washington State University","keywords":"Portfolio; Economics; Investment (military); Finance; Financial economics; Portfolio optimization; Econometrics; Actuarial science","score_opus":0.027419626976300054,"score_gpt":0.209752884981457,"score_spread":0.18233325800515696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103910452","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13523135,0.0010720134,0.85056657,0.00060432137,0.00006440871,0.00009885438,0.00050230033,0.00031444785,0.011545699],"genre_scores_gemma":[0.9411431,0.00093112123,0.051109046,0.00010360889,0.00018468096,0.00015260474,0.00064854254,0.0000739171,0.0056533804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982533,0.00061501144,0.00008142129,0.00032234145,0.0005477506,0.00018015158],"domain_scores_gemma":[0.991836,0.005213083,0.0010678066,0.0008610767,0.000828915,0.00019304812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040147696,0.00049544265,0.0009019395,0.002098855,0.0003260958,0.0016621051,0.00079214346,0.00064321986,0.004804221],"category_scores_gemma":[0.019319177,0.00030202573,0.00092920475,0.0014786907,0.0009910568,0.0022106313,0.0011029715,0.0009959205,0.00050072564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007527393,0.00006879741,0.017738266,0.00010333449,0.00027744984,0.00017237572,0.00020155725,0.106945105,0.001958844,0.7848106,0.002341057,0.085307404],"study_design_scores_gemma":[0.000018652947,0.0001474795,0.015756454,0.00005860173,0.000067836074,0.00019574302,0.00007928436,0.49108747,0.0013410687,0.485955,0.0052388,0.000053576485],"about_ca_topic_score_codex":0.0013487507,"about_ca_topic_score_gemma":0.00089284603,"teacher_disagreement_score":0.004804221,"about_ca_system_score_codex":0.0009934689,"about_ca_system_score_gemma":0.0008712976,"threshold_uncertainty_score":0.021232426},"labels":[],"label_agreement":null},{"id":"W2104026267","doi":"10.2139/ssrn.1773096","title":"Tick Size Reduction and Price Discovery in Option Markets: An Empirical Investigation","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université du Québec à Montréal; McGill University","funders":"","keywords":"Price discovery; Reduction (mathematics); Tick size; Economics; Econometrics; Financial economics; Monetary economics; Mathematics; Market liquidity","score_opus":0.02972311605469218,"score_gpt":0.22717065871363887,"score_spread":0.19744754265894668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104026267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975222,0.00030285303,0.0006700819,0.00013795833,0.0000076217148,0.000015769714,0.000052126557,0.000017678582,0.001273835],"genre_scores_gemma":[0.9988883,0.000118199685,0.0002591608,0.000021960956,0.000027004298,0.0000061315664,0.000092138594,0.000006175992,0.00058092823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872774,0.00041989292,0.00012161858,0.00016114934,0.00037811545,0.0001913515],"domain_scores_gemma":[0.84476197,0.1239727,0.021152416,0.0048438474,0.0017954244,0.0034735512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047789514,0.00031213753,0.00080874533,0.0015589976,0.0005915885,0.0021557934,0.0013352418,0.0015301052,0.008435068],"category_scores_gemma":[0.07017306,0.0003568592,0.0006473569,0.0014547588,0.0011899082,0.0028995145,0.0009025782,0.0026339956,0.00077875244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071564363,0.006761264,0.8718745,0.00020184684,0.00034787942,0.0012082702,0.0010452584,0.009900617,0.004922972,0.011768705,0.0013020701,0.08351009],"study_design_scores_gemma":[0.00046817784,0.002810202,0.8633505,0.000058181133,0.00058802264,0.0027104144,0.0020697636,0.095573656,0.0027876534,0.027984545,0.0014813463,0.00011756219],"about_ca_topic_score_codex":0.0016427414,"about_ca_topic_score_gemma":0.0013172163,"teacher_disagreement_score":0.008435068,"about_ca_system_score_codex":0.00047889148,"about_ca_system_score_gemma":0.0007409824,"threshold_uncertainty_score":0.02821815},"labels":[],"label_agreement":null},{"id":"W2104126736","doi":"10.1146/annurev-financial-110613-034339","title":"Investor Flows to Asset Managers: Causes and Consequences","year":2014,"lang":"en","type":"article","venue":"Annual Review of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Asset (computer security); Finance; Computer science; Computer security","score_opus":0.022902286040067978,"score_gpt":0.23540916527894498,"score_spread":0.212506879238877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104126736","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84742284,0.013960212,0.011707662,0.05377069,0.00031765245,0.00008829265,0.00044101715,0.00009857302,0.07219311],"genre_scores_gemma":[0.9930733,0.0033236546,0.0005288748,0.000636721,0.00023930745,0.000015080564,0.00003426723,0.00000807256,0.0021408238],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998911,0.00047541887,0.00005857405,0.00011924606,0.0001860851,0.0002496152],"domain_scores_gemma":[0.989282,0.0058148615,0.003226282,0.00031431278,0.00069411605,0.00066839345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025255086,0.0003044684,0.00029628884,0.0016279961,0.0009442002,0.0036087395,0.0004316023,0.0013372101,0.0067801857],"category_scores_gemma":[0.012738043,0.0002200163,0.00030249427,0.0010900763,0.0022440506,0.004113567,0.0024067368,0.0015858217,0.00039045681],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048759088,0.00045811344,0.19226816,0.00034662563,0.00013335765,0.002010137,0.0050346223,0.0064893435,0.00069048925,0.6208324,0.0148252,0.15642382],"study_design_scores_gemma":[0.00010472825,0.00014896262,0.10763375,0.00049765327,0.00012960278,0.0010175252,0.01065722,0.009910514,0.0011540556,0.8421978,0.02646854,0.000079696154],"about_ca_topic_score_codex":0.0017955712,"about_ca_topic_score_gemma":0.0011489372,"teacher_disagreement_score":0.0067801857,"about_ca_system_score_codex":0.001594171,"about_ca_system_score_gemma":0.0007228946,"threshold_uncertainty_score":0.022681952},"labels":[],"label_agreement":null},{"id":"W2104309480","doi":"10.2139/ssrn.1359280","title":"Asymmetric Information, Portfolio Managers and Home Bias","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Kellogg's (Canada)","funders":"","keywords":"Portfolio; Business; Information asymmetry; Actuarial science; Project portfolio management; Econometrics; Financial economics; Economics; Finance; Management","score_opus":0.01252666954644199,"score_gpt":0.19119785757335994,"score_spread":0.17867118802691795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104309480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96501267,0.00256446,0.015558947,0.003573875,0.000071991984,0.000020040394,0.00012677786,0.000049793918,0.013021403],"genre_scores_gemma":[0.99732673,0.00034535283,0.00042446263,0.00011861619,0.00007946839,0.0000031763748,0.000022667267,0.000004206665,0.0016752607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99937683,0.0002478638,0.000045343342,0.00010077913,0.00011572282,0.00011350435],"domain_scores_gemma":[0.9769627,0.014709346,0.005512836,0.0015331589,0.00056561857,0.00071625237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038539118,0.0001712045,0.0006972257,0.00070038164,0.00034167332,0.0020714172,0.00044682983,0.0013022765,0.006351874],"category_scores_gemma":[0.029296877,0.00021137444,0.00019006323,0.00075089803,0.0010130671,0.002531547,0.00068308495,0.00096566114,0.00030171347],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020578604,0.0005628308,0.3555278,0.00023207939,0.00047091037,0.0024119911,0.0018040241,0.023179216,0.0019674415,0.41253984,0.013293584,0.18595244],"study_design_scores_gemma":[0.00036301586,0.00026058615,0.15044238,0.0000726767,0.00019818434,0.0011956354,0.0011680266,0.06923671,0.001416948,0.77144414,0.00413428,0.0000673855],"about_ca_topic_score_codex":0.0011974997,"about_ca_topic_score_gemma":0.001161703,"teacher_disagreement_score":0.006351874,"about_ca_system_score_codex":0.0005479677,"about_ca_system_score_gemma":0.00032047543,"threshold_uncertainty_score":0.021249175},"labels":[],"label_agreement":null},{"id":"W2104400585","doi":"10.2139/ssrn.364861","title":"Endogenous Illiquidity Trading Costs from Risk Sharing","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Business; Endogeny; Monetary economics; Economics; Financial economics; Actuarial science; Medicine; Internal medicine","score_opus":0.03282727321435238,"score_gpt":0.2045512194486521,"score_spread":0.1717239462342997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104400585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82065433,0.0018464993,0.1359157,0.003463339,0.00014893993,0.000064132895,0.0002728292,0.0002383663,0.037395936],"genre_scores_gemma":[0.99495584,0.00025107706,0.0012936393,0.000057562367,0.000059681654,0.000006792152,0.00002963523,0.0000168253,0.0033289914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993826,0.00013753715,0.00004720136,0.000101586804,0.00016289557,0.00016816854],"domain_scores_gemma":[0.987364,0.0072623836,0.0031443136,0.0011285731,0.000523951,0.00057680445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015209515,0.00055440195,0.0011674328,0.0007695118,0.0004370146,0.0035945058,0.0010231502,0.0016009117,0.00891477],"category_scores_gemma":[0.014759792,0.0005337513,0.0006125389,0.0006098706,0.0016183078,0.006628353,0.001642937,0.0025381807,0.00037172885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038357318,0.0001984268,0.0064144568,0.00023341272,0.00008854558,0.00096361246,0.00027954418,0.13517375,0.004731282,0.81656164,0.0026865653,0.032285273],"study_design_scores_gemma":[0.000060064922,0.00008161626,0.004268431,0.000031751155,0.000085623695,0.0004000826,0.00013039118,0.1861859,0.0017595207,0.8061712,0.00076973625,0.000055715973],"about_ca_topic_score_codex":0.0005510915,"about_ca_topic_score_gemma":0.0005172794,"teacher_disagreement_score":0.00891477,"about_ca_system_score_codex":0.001196957,"about_ca_system_score_gemma":0.00073772797,"threshold_uncertainty_score":0.029822886},"labels":[],"label_agreement":null},{"id":"W2104657025","doi":"10.2139/ssrn.477301","title":"Can Companies Influence Investor Behavior through Advertising? Super Bowl Commercials and Stock Returns","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Advertising; Stock (firearms); Business; Engineering","score_opus":0.02367484865631561,"score_gpt":0.23327611378570148,"score_spread":0.20960126512938587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104657025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98095703,0.0007029077,0.00018679879,0.0016671106,0.000022918508,0.00000941877,0.000101553,0.00001138105,0.016340831],"genre_scores_gemma":[0.99699605,0.00029505463,0.00005711397,0.00017440927,0.00006821009,0.0000018941157,0.00004459849,0.0000042120014,0.0023584345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963236,0.00014241497,0.000016688953,0.000037097987,0.00007455293,0.00009686892],"domain_scores_gemma":[0.9827588,0.009296895,0.0053971554,0.0005642165,0.0006757591,0.0013071907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012030574,0.0001850208,0.00027990018,0.0009190702,0.0003473761,0.0028213179,0.00022589786,0.0014540816,0.009549842],"category_scores_gemma":[0.011333704,0.00020960752,0.00025016099,0.0007957856,0.0004666948,0.001328343,0.00035041154,0.00094255985,0.0012620402],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049220823,0.00063448737,0.9674252,0.000034288692,0.00017718924,0.00027533155,0.00055454846,0.000425775,0.0015228422,0.003243518,0.0017584782,0.023456022],"study_design_scores_gemma":[0.00003495569,0.00015730983,0.99180037,0.000017246313,0.00013799939,0.00013836364,0.0008468726,0.0019675165,0.00039931218,0.0027006874,0.0017854276,0.000013884166],"about_ca_topic_score_codex":0.004924475,"about_ca_topic_score_gemma":0.010117233,"teacher_disagreement_score":0.009549842,"about_ca_system_score_codex":0.00044427722,"about_ca_system_score_gemma":0.00022812528,"threshold_uncertainty_score":0.031947434},"labels":[],"label_agreement":null},{"id":"W2104999327","doi":"10.2139/ssrn.1729741","title":"Sources of Momentum Profits: Evidence on the Irrelevance of Characteristics","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Economics; Momentum (technical analysis); Econometrics; Financial economics","score_opus":0.05314570047718941,"score_gpt":0.21373298229120274,"score_spread":0.16058728181401333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104999327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97995514,0.0006036829,0.0017007008,0.00069546956,0.00002106966,0.000042386768,0.0010774434,0.000050186514,0.015854059],"genre_scores_gemma":[0.9985676,0.00015719965,0.0001657167,0.000019362082,0.000027087075,0.0000070098467,0.00040384204,0.0000149368925,0.0006371267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801826,0.00044085612,0.00020613511,0.00037015398,0.0007308173,0.00023367416],"domain_scores_gemma":[0.8701936,0.0826505,0.03288526,0.007736266,0.0042344653,0.002299881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034222,0.0003450023,0.0006053212,0.003665669,0.00068496633,0.004876417,0.0011444788,0.0014339254,0.010586989],"category_scores_gemma":[0.06711212,0.00056170195,0.00038248874,0.004678186,0.0012406335,0.004409437,0.0021460056,0.0011940212,0.0018305401],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014692392,0.000308285,0.9529374,0.0001021187,0.0002871593,0.00041409975,0.001612423,0.0008856866,0.00063247414,0.009869228,0.0012381353,0.030243734],"study_design_scores_gemma":[0.00025985972,0.00016960093,0.9667194,0.000060509294,0.00023408566,0.00048412956,0.00180724,0.0024382821,0.00073692785,0.02499274,0.0020492321,0.000048017813],"about_ca_topic_score_codex":0.0020412654,"about_ca_topic_score_gemma":0.0011703956,"teacher_disagreement_score":0.010586989,"about_ca_system_score_codex":0.00051678333,"about_ca_system_score_gemma":0.00055503007,"threshold_uncertainty_score":0.03541696},"labels":[],"label_agreement":null},{"id":"W2105019120","doi":"10.1017/s0022109010000347","title":"Estimating the Equity Premium","year":2010,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University; University of British Columbia","funders":"","keywords":"Econometrics; Equity premium puzzle; Economics; Volatility (finance); Dividend; Equity (law); Dividend yield; Risk premium; Financial economics; Dividend policy; Finance","score_opus":0.04819835510943624,"score_gpt":0.29213978127726536,"score_spread":0.24394142616782913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105019120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6043647,0.00048463998,0.38805956,0.0005121768,0.00004278024,0.000092766895,0.00080010685,0.00038390752,0.0052593653],"genre_scores_gemma":[0.97126716,0.000110317465,0.027366076,0.000029171233,0.000030301477,0.000020736263,0.00034779918,0.000018751258,0.0008096961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988727,0.0005014728,0.00005632344,0.00023396188,0.00022182142,0.000113691865],"domain_scores_gemma":[0.987211,0.0107808765,0.00085710554,0.00051895075,0.0004233998,0.00020873715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032352235,0.00048171743,0.0006554661,0.001617221,0.00016626295,0.001357512,0.0007155201,0.0010148184,0.003864092],"category_scores_gemma":[0.022088576,0.00031107935,0.00036279167,0.0007299957,0.00041938995,0.0013733977,0.00088415004,0.0007948902,0.0004411722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041777862,0.00034369496,0.29804856,0.00022815527,0.00042497364,0.0003894288,0.00042919812,0.3182595,0.009485817,0.14255399,0.003724618,0.22569425],"study_design_scores_gemma":[0.000036624537,0.00012339122,0.036423713,0.000039166018,0.000045182416,0.00015025128,0.00011927321,0.88238263,0.0037841941,0.07546599,0.0013954137,0.000034147004],"about_ca_topic_score_codex":0.0030735836,"about_ca_topic_score_gemma":0.0014605222,"teacher_disagreement_score":0.003864092,"about_ca_system_score_codex":0.0007116453,"about_ca_system_score_gemma":0.0008201989,"threshold_uncertainty_score":0.017109692},"labels":[],"label_agreement":null},{"id":"W2105090511","doi":"10.2139/ssrn.1907904","title":"Seasonal Asset Allocation: Evidence from Mutual Fund Flows","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto; York University","funders":"","keywords":"Mutual fund; Asset allocation; Target date fund; Business; Finance; Economics; Financial economics; Open-end fund; Portfolio; Institutional investor; Corporate governance","score_opus":0.047838395775810644,"score_gpt":0.2459264041381047,"score_spread":0.19808800836229407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105090511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99783665,0.00024056816,0.00017493579,0.0001393145,0.0000037649297,0.000003900336,0.0002754513,0.000006061261,0.0013193763],"genre_scores_gemma":[0.9986802,0.00026162385,0.0000941667,0.000020152458,0.000019327827,0.000002954068,0.00049408764,0.00000418155,0.0004233953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996024,0.00014907985,0.00003360218,0.0000658367,0.00008693577,0.00006217127],"domain_scores_gemma":[0.98478127,0.006819773,0.0058065113,0.0010792557,0.0008079853,0.0007051864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014682561,0.00014240279,0.0002801383,0.0012249834,0.00039824648,0.00091949716,0.00043164284,0.0006583062,0.0031967573],"category_scores_gemma":[0.016472694,0.00020520871,0.00020115488,0.0015414659,0.00052007515,0.0010059256,0.00068822753,0.00045504255,0.0004597527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001527701,0.00024731248,0.959099,0.00007685313,0.00021848638,0.00024965065,0.0011942354,0.00170908,0.001376934,0.0032419558,0.0020582909,0.029000446],"study_design_scores_gemma":[0.00006334283,0.00014410375,0.99125457,0.000024541092,0.00011883713,0.00019767741,0.0005896829,0.0026779762,0.00052647357,0.0020076404,0.0023816768,0.000013482491],"about_ca_topic_score_codex":0.010157502,"about_ca_topic_score_gemma":0.01056992,"teacher_disagreement_score":0.010157502,"about_ca_system_score_codex":0.00042067468,"about_ca_system_score_gemma":0.00029531587,"threshold_uncertainty_score":0.020196736},"labels":[],"label_agreement":null},{"id":"W2105125616","doi":"10.1111/0022-1082.00344","title":"Explaining the Cross‐Section of Stock Returns in Japan: Factors or Characteristics?","year":2001,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":349,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Replicate; Stock (firearms); Econometrics; Economics; Covariance; Financial economics; Statistics; Mathematics; Engineering","score_opus":0.055107088813742426,"score_gpt":0.25406317637509407,"score_spread":0.19895608756135164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105125616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984804,0.00019266336,0.00070649065,0.00012350496,0.000005870789,0.0000041824123,0.0000897758,0.000008122414,0.00038901423],"genre_scores_gemma":[0.99943775,0.00009169448,0.0001321581,0.0000148031,0.00001224697,0.00000216048,0.0001531275,0.000003909532,0.00015214364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999461,0.000135848,0.00005529293,0.00014978906,0.00007002546,0.00012797996],"domain_scores_gemma":[0.99093175,0.0031462186,0.0031307654,0.00087129656,0.0009591385,0.00096091244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027140535,0.00043463506,0.00084309094,0.001507376,0.0005136945,0.0018407396,0.00047088205,0.00064881647,0.0024888986],"category_scores_gemma":[0.0071264235,0.00038193728,0.00094936683,0.0021530893,0.0007440786,0.0011998678,0.0009882743,0.0006253661,0.0003971489],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004684644,0.000030281317,0.9936972,0.000010887922,0.00019841529,0.00010326963,0.00018757547,0.0011963468,0.00041103666,0.00044545156,0.00015644354,0.0035163073],"study_design_scores_gemma":[0.000009191646,0.000034024324,0.9908263,0.000007016725,0.00015950449,0.000048305865,0.000411976,0.0072330385,0.00018224532,0.00083879114,0.00023741407,0.0000121870835],"about_ca_topic_score_codex":0.04004343,"about_ca_topic_score_gemma":0.029026724,"teacher_disagreement_score":0.04004343,"about_ca_system_score_codex":0.0005906057,"about_ca_system_score_gemma":0.0004869173,"threshold_uncertainty_score":0.07962066},"labels":[],"label_agreement":null},{"id":"W2105346388","doi":"10.5430/afr.v1n2p25","title":"Opportunity Costs of Sub-Optimal Diversification","year":2012,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Economics; Irrationality; Stochastic game; Microeconomics; Welfare; Rationality; Business; Marketing","score_opus":0.12811903664482763,"score_gpt":0.3061337962889222,"score_spread":0.17801475964409455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105346388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8460381,0.00095038954,0.089853115,0.002851284,0.000066937704,0.000065525055,0.00015824697,0.00009876896,0.059917632],"genre_scores_gemma":[0.99576277,0.00017927332,0.0030120842,0.000049301907,0.000011299767,0.000015515945,0.000019141024,0.0000075522894,0.00094307883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988789,0.00034455647,0.000059602102,0.000114832925,0.000331026,0.0002710693],"domain_scores_gemma":[0.993804,0.004076564,0.0007765788,0.0006766117,0.00027081245,0.00039539285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018416124,0.000349331,0.00046988195,0.0005906811,0.0003849385,0.0017424056,0.00051475293,0.00066626375,0.00535893],"category_scores_gemma":[0.0133159235,0.00024250272,0.0004543417,0.00039629344,0.0014075643,0.0022620459,0.0018661914,0.001215312,0.00018769556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003766705,0.00016808261,0.011297229,0.0001702895,0.000102473525,0.0006307846,0.00034104264,0.17813812,0.004045961,0.7474216,0.001603214,0.05570451],"study_design_scores_gemma":[0.0000528252,0.00021127803,0.016405027,0.000066429304,0.00006140578,0.0006821999,0.00044597266,0.16507764,0.001962046,0.8119886,0.0030044664,0.000042012827],"about_ca_topic_score_codex":0.00050849374,"about_ca_topic_score_gemma":0.0005240541,"teacher_disagreement_score":0.00535893,"about_ca_system_score_codex":0.0011469864,"about_ca_system_score_gemma":0.00077333295,"threshold_uncertainty_score":0.017927408},"labels":[],"label_agreement":null},{"id":"W2105349388","doi":"10.2139/ssrn.2460257","title":"Risk Aversion and the Financial Accelerator","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Risk aversion (psychology); Financial accelerator; Business; Economics; Financial system; Monetary economics; Financial economics; Dynamic stochastic general equilibrium; Expected utility hypothesis; Monetary policy","score_opus":0.007436752611222217,"score_gpt":0.17612063989011198,"score_spread":0.16868388727888975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105349388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90357924,0.0029814825,0.014684298,0.012386059,0.0001775318,0.000016250073,0.00007552775,0.00008380132,0.066015884],"genre_scores_gemma":[0.9964586,0.0004965969,0.00029744557,0.00014008855,0.00012006785,0.000002867681,0.000009407195,0.0000039396373,0.0024710398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997986,0.00007859528,0.000009502999,0.00003037215,0.000030073348,0.000052905245],"domain_scores_gemma":[0.9953714,0.0028228662,0.0010031287,0.00018386696,0.00017144317,0.0004473224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014449306,0.0001932585,0.00033717067,0.00061464944,0.0003132982,0.0019403988,0.00021883444,0.0010438245,0.008045436],"category_scores_gemma":[0.007916064,0.00015853051,0.00020566199,0.00043095232,0.001118979,0.0018720671,0.00093331555,0.0015572846,0.0003530527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004755892,0.00023659466,0.045477174,0.000078817255,0.000082189756,0.00063541497,0.0005981092,0.013248143,0.0010587806,0.88046175,0.005448044,0.052199394],"study_design_scores_gemma":[0.000078335004,0.000089605084,0.025765011,0.00003361072,0.00003759096,0.00028451328,0.00039588346,0.017068706,0.00016275846,0.95210373,0.0039528003,0.000027457216],"about_ca_topic_score_codex":0.0006895343,"about_ca_topic_score_gemma":0.00045839854,"teacher_disagreement_score":0.008045436,"about_ca_system_score_codex":0.00038098125,"about_ca_system_score_gemma":0.00034591067,"threshold_uncertainty_score":0.026914656},"labels":[],"label_agreement":null},{"id":"W2105747019","doi":"10.1080/09603100600949218","title":"Price clustering in the CAC 40 index options market","year":2007,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Volatility clustering; Cluster analysis; Economics; Volatility (finance); Index (typography); Econometrics; Basis point; Market liquidity; Financial economics; Monetary economics; Interest rate; Computer science; Statistics; Autoregressive conditional heteroskedasticity; Mathematics","score_opus":0.01969925576107534,"score_gpt":0.20294424892254598,"score_spread":0.18324499316147064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105747019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99853134,0.000059221526,0.000103478895,0.00004620048,0.0000015618111,0.000005265069,0.00025856218,0.000006645776,0.0009877732],"genre_scores_gemma":[0.9988121,0.00004580567,0.00015951261,0.0000105069585,0.000007117009,0.0000050704357,0.0006181195,0.0000030963192,0.00033867682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951124,0.00007337126,0.000038590188,0.000089373876,0.00019113487,0.00009633366],"domain_scores_gemma":[0.99471563,0.0011856244,0.0028508862,0.00029435256,0.0006609751,0.0002926044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058434095,0.00010962811,0.00021473925,0.0027104446,0.00033583932,0.0008008273,0.00038022146,0.00032952474,0.0020286834],"category_scores_gemma":[0.0037505839,0.00011110061,0.00017457346,0.0031518736,0.00040138498,0.00067317864,0.00051611854,0.00039223768,0.00028388473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038111187,0.00013434836,0.9527091,0.00004914505,0.00010098585,0.0007932456,0.0026787184,0.003351855,0.0041960194,0.0027472342,0.002567901,0.030290376],"study_design_scores_gemma":[0.0000033484803,0.000036678888,0.9936149,0.000008859834,0.000009797408,0.00020482246,0.00065083936,0.0038407017,0.00042542786,0.00034200717,0.0008485725,0.000013949939],"about_ca_topic_score_codex":0.009538578,"about_ca_topic_score_gemma":0.011618747,"teacher_disagreement_score":0.009538578,"about_ca_system_score_codex":0.0006359772,"about_ca_system_score_gemma":0.0002797193,"threshold_uncertainty_score":0.018966138},"labels":[],"label_agreement":null},{"id":"W2105914804","doi":"10.2139/ssrn.1127669","title":"Dynamic Hedge Fund Style Analysis with Errors-in-Variables","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Returns-based style analysis; Hedge fund; Style analysis; Style (visual arts); Econometrics; Actuarial science; Economics; Business; Financial economics; Fund administration; Finance; Investment fund; Geography; Portfolio; Market liquidity; Asset allocation","score_opus":0.01716960010290648,"score_gpt":0.20957731370856816,"score_spread":0.1924077136056617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105914804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15221453,0.00057480315,0.8414046,0.00045361242,0.00019084851,0.000054543914,0.0003156263,0.00042189594,0.004369493],"genre_scores_gemma":[0.9303912,0.00032379114,0.051469203,0.00010987103,0.0002929606,0.00006175791,0.0005682814,0.000161988,0.01662108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836165,0.0006707951,0.0000981716,0.00035806457,0.00031126683,0.00020011044],"domain_scores_gemma":[0.9848044,0.0112822475,0.0011880678,0.0014689033,0.0009188327,0.0003374903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057092602,0.00093274395,0.0015898236,0.0020546322,0.00057527615,0.0023443107,0.0018447065,0.0014493812,0.0073723304],"category_scores_gemma":[0.025055729,0.0004899986,0.001375342,0.0016970743,0.0008089418,0.0029042333,0.0016060491,0.0020246867,0.00056344224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073412864,0.00034081354,0.027157433,0.00019860131,0.0011332151,0.0014927872,0.00035317425,0.5148552,0.0027381612,0.31689918,0.00670848,0.1273888],"study_design_scores_gemma":[0.00003671563,0.00006539978,0.0016486315,0.000013586301,0.00008737006,0.00007877202,0.000039319566,0.9477775,0.0008847147,0.048475273,0.00087219384,0.000020511829],"about_ca_topic_score_codex":0.0029430601,"about_ca_topic_score_gemma":0.0022671819,"teacher_disagreement_score":0.0073723304,"about_ca_system_score_codex":0.0004993206,"about_ca_system_score_gemma":0.0009206793,"threshold_uncertainty_score":0.030193806},"labels":[],"label_agreement":null},{"id":"W2105915529","doi":"10.2139/ssrn.2172455","title":"Identifying International Start Dates for Algorithmic Trading and High Frequency Trading","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"High-frequency trading; Algorithmic trading; Business; Electronic trading; Alternative trading system; Trading strategy; Pairs trade; Computer science; Financial economics; Economics; Finance","score_opus":0.03374810524691804,"score_gpt":0.24104701382667593,"score_spread":0.20729890857975788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105915529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6933437,0.00090897677,0.2844524,0.00044440178,0.00014604234,0.000089523346,0.0005193525,0.0006137756,0.019481823],"genre_scores_gemma":[0.9729354,0.00017962007,0.024127917,0.000021678292,0.00007087636,0.000032397922,0.0004283406,0.0000836198,0.0021202154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993838,0.00017725676,0.000051726434,0.00014931001,0.00012869682,0.000109176086],"domain_scores_gemma":[0.9831366,0.011838476,0.0023032012,0.0011789398,0.0008782092,0.0006646181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023615686,0.00069456856,0.0006819632,0.0031731685,0.0007200766,0.003621345,0.0010793991,0.0014696752,0.0067738397],"category_scores_gemma":[0.024018258,0.00053180207,0.0007289144,0.001622841,0.00088714913,0.00342861,0.0013829798,0.0019293755,0.001049652],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017550759,0.0005397673,0.15793027,0.00035516077,0.00024813483,0.0016032627,0.0007394841,0.23564811,0.010546272,0.38947126,0.0071843313,0.1939789],"study_design_scores_gemma":[0.00007442221,0.00013054234,0.024442114,0.00008334463,0.00007133266,0.00043878367,0.00024942387,0.76492006,0.003979878,0.20300634,0.0025437523,0.00006007923],"about_ca_topic_score_codex":0.0009132361,"about_ca_topic_score_gemma":0.0014577403,"teacher_disagreement_score":0.0067738397,"about_ca_system_score_codex":0.0005394344,"about_ca_system_score_gemma":0.0007341376,"threshold_uncertainty_score":0.022660732},"labels":[],"label_agreement":null},{"id":"W2106042760","doi":"10.2139/ssrn.1117285","title":"Block Ownership, Trading Activity, and Market Liquidity","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Block (permutation group theory); Business; High-frequency trading; Monetary economics; Dark liquidity; Flash trading; Financial system; Financial economics; Economics; Finance; Mathematics; Combinatorics","score_opus":0.028707287967758205,"score_gpt":0.20928050286792454,"score_spread":0.18057321490016634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106042760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976915,0.00025250556,0.0003268809,0.000104533014,0.00000288421,0.0000025001332,0.00011094761,0.000003933021,0.0015044295],"genre_scores_gemma":[0.9991779,0.00006301554,0.000039871644,0.000005296529,0.000007873514,0.0000015693357,0.00006418155,0.0000012455463,0.0006390479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998473,0.000049032824,0.000015388467,0.000019954952,0.00002661913,0.000041790438],"domain_scores_gemma":[0.99136835,0.0043241405,0.0029871718,0.0002715094,0.00018476139,0.0008641067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056790677,0.0001112242,0.00020032036,0.00044604743,0.00023831347,0.0013410577,0.00024245813,0.00066023285,0.00957468],"category_scores_gemma":[0.0068848957,0.00012242695,0.00014857898,0.00045034604,0.0004090649,0.0014201744,0.0005282026,0.0004107244,0.0007830235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011704912,0.00023102289,0.97985405,0.000023732102,0.000108069136,0.00038112272,0.00024895958,0.0022602114,0.0018820299,0.0046537374,0.0004495372,0.008737079],"study_design_scores_gemma":[0.000076282704,0.0003309726,0.9667035,0.000021016633,0.00013006988,0.0007181952,0.0005735081,0.015621885,0.0006993545,0.014068697,0.0010392545,0.000017297752],"about_ca_topic_score_codex":0.0022751354,"about_ca_topic_score_gemma":0.003322516,"teacher_disagreement_score":0.00957468,"about_ca_system_score_codex":0.0002644034,"about_ca_system_score_gemma":0.00024125048,"threshold_uncertainty_score":0.032030523},"labels":[],"label_agreement":null},{"id":"W2106174614","doi":"10.1111/1911-3846.12159","title":"Private Intermediary Innovation and Market Liquidity: Evidence from the Pink Sheets<sup>®</sup> Market","year":2015,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Salience (neuroscience); Business; Stock (firearms); Monetary economics; Accounting; Finance; Economics; Psychology","score_opus":0.15730869631940672,"score_gpt":0.311844718734354,"score_spread":0.15453602241494727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106174614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978629,0.00018341008,0.00010258658,0.00022210833,0.0000028848708,0.000008519302,0.00006624643,0.0000031864524,0.0015482794],"genre_scores_gemma":[0.9995603,0.00008345976,0.000047199937,0.000040595904,0.000012570042,0.000003263505,0.000047248395,0.0000011645733,0.00020421033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988549,0.0003919052,0.000081455364,0.00012418056,0.0003646745,0.0001828207],"domain_scores_gemma":[0.95859694,0.011478439,0.025609966,0.0015738709,0.00085114024,0.0018896656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00232977,0.00013236595,0.0002675703,0.0010468285,0.0006511546,0.0020617298,0.00039494535,0.0007683215,0.0048114993],"category_scores_gemma":[0.016395679,0.00015986939,0.00028709104,0.0010151085,0.0013174904,0.0018924356,0.0016186968,0.00080057705,0.0003551639],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016369091,0.0013820895,0.9667437,0.00007270965,0.00015808112,0.0004539907,0.0019139871,0.00042189413,0.0015830373,0.0029603038,0.0009689019,0.021704469],"study_design_scores_gemma":[0.00010314265,0.00042529084,0.99118716,0.000032696476,0.00008045699,0.00022413647,0.001761575,0.0014317303,0.0011345567,0.002094492,0.0014996281,0.00002509806],"about_ca_topic_score_codex":0.0027045824,"about_ca_topic_score_gemma":0.0038393564,"teacher_disagreement_score":0.0048114993,"about_ca_system_score_codex":0.0005373158,"about_ca_system_score_gemma":0.0004384134,"threshold_uncertainty_score":0.016096056},"labels":[],"label_agreement":null},{"id":"W2106193172","doi":"10.2139/ssrn.996696","title":"How Useful are Historical Data for Forecasting the Long-Run Equity Return Distribution?","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Equity (law); Econometrics; Economics; Financial economics; Business; Actuarial science; Political science","score_opus":0.09314807795222929,"score_gpt":0.2636781103327238,"score_spread":0.17053003238049452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106193172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6445403,0.055160638,0.2132816,0.024258595,0.0040211333,0.00021280367,0.027355451,0.0012710736,0.029898357],"genre_scores_gemma":[0.9502183,0.0146844955,0.02319011,0.0007424486,0.0016197881,0.000063497326,0.007754856,0.00012355299,0.0016028571],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981838,0.0008109941,0.00022549808,0.00029607062,0.00036531736,0.000118380536],"domain_scores_gemma":[0.94906026,0.03608928,0.004046285,0.0047280695,0.0049768346,0.0010991114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076986738,0.0010937351,0.0013065067,0.004737891,0.00045441615,0.0047456166,0.0015894875,0.0031579786,0.0039311214],"category_scores_gemma":[0.07586794,0.00067687745,0.0005752921,0.0040274845,0.0007315177,0.013244329,0.0006084171,0.002029759,0.002245115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004965362,0.000439017,0.47652376,0.000705399,0.0007880861,0.00044794576,0.00022144194,0.070709094,0.0012078674,0.015422871,0.022552416,0.41048563],"study_design_scores_gemma":[0.00016563227,0.0006082603,0.24812919,0.0018463304,0.0008081982,0.001112907,0.0016183222,0.5774939,0.005581819,0.11587598,0.0463645,0.00039505845],"about_ca_topic_score_codex":0.00696341,"about_ca_topic_score_gemma":0.006307173,"teacher_disagreement_score":0.0076986738,"about_ca_system_score_codex":0.0005810966,"about_ca_system_score_gemma":0.0006753815,"threshold_uncertainty_score":0.04071492},"labels":[],"label_agreement":null},{"id":"W2106297497","doi":"10.2139/ssrn.1106962","title":"Are Options on Index Futures Profitable for Risk Averse Investors? Empirical Evidence","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Futures contract; Index (typography); Financial economics; Economics; Empirical evidence; Actuarial science; Business","score_opus":0.057361095290306925,"score_gpt":0.27258696983418335,"score_spread":0.21522587454387643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106297497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99038976,0.0019546084,0.00040408142,0.00071071717,0.000011049484,0.0000051669,0.000082196595,0.0000050844806,0.0064373245],"genre_scores_gemma":[0.99766576,0.0014439299,0.00016240292,0.00005805374,0.00004881869,0.0000019927932,0.00012473628,0.000002335123,0.0004921101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993975,0.00012425489,0.000059302354,0.00008198974,0.0002472815,0.000089575566],"domain_scores_gemma":[0.95649964,0.028595941,0.0111787515,0.0013879223,0.0012191489,0.0011185913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002291241,0.00033869984,0.0004879862,0.00078995066,0.0004302502,0.0021417353,0.00086128054,0.0015106939,0.008809018],"category_scores_gemma":[0.0250103,0.00022547244,0.00039506846,0.00087981665,0.0018539883,0.0039531123,0.00084562605,0.001253501,0.0006419332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0061792834,0.0011133291,0.79643565,0.00057093624,0.00056573923,0.0025557065,0.0021968458,0.0044802898,0.0050858804,0.038915154,0.0026216134,0.13927953],"study_design_scores_gemma":[0.0008327573,0.0015409216,0.83802,0.00035236694,0.0007769565,0.0036197489,0.005981558,0.013735821,0.006339853,0.11847983,0.010218635,0.00010154625],"about_ca_topic_score_codex":0.0010663535,"about_ca_topic_score_gemma":0.0011513853,"teacher_disagreement_score":0.008809018,"about_ca_system_score_codex":0.00037477203,"about_ca_system_score_gemma":0.00028981638,"threshold_uncertainty_score":0.029469132},"labels":[],"label_agreement":null},{"id":"W2106484854","doi":"10.7202/602230ar","title":"L’intégration des marchés émergents et la modélisation des rendements des actifs risqués","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations; Polytechnique Montréal","funders":"","keywords":"Political science; Mathematics; Physics; Humanities; Philosophy","score_opus":0.07452176151240138,"score_gpt":0.27393068698699197,"score_spread":0.1994089254745906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106484854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6790089,0.0017056665,0.27452424,0.0036712363,0.00017734308,0.0001883989,0.0025356908,0.0004985256,0.037689935],"genre_scores_gemma":[0.9729839,0.00057188317,0.0143598905,0.00007833473,0.00003893158,0.00012770275,0.000499313,0.00006432024,0.011275749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991887,0.00026083481,0.000040574505,0.00023625283,0.00014123818,0.00013226636],"domain_scores_gemma":[0.99576664,0.0026043206,0.00068393693,0.00032282958,0.00038407592,0.00023810957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019721452,0.00089077785,0.0008035363,0.0008961936,0.00058273086,0.003526899,0.0014233902,0.0012659505,0.009280842],"category_scores_gemma":[0.009906947,0.0005992034,0.0015979512,0.0011131841,0.00096809905,0.0025238013,0.001188,0.002183238,0.00056591263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014988145,0.000066206805,0.042130295,0.00012567079,0.00022903593,0.00022922624,0.00060542166,0.8129107,0.00070365134,0.12203309,0.001691838,0.01912509],"study_design_scores_gemma":[0.000029591853,0.00007225015,0.013422524,0.000044420347,0.00008494398,0.00005979178,0.00028392102,0.9247373,0.00031759887,0.055323735,0.0055867666,0.000037275346],"about_ca_topic_score_codex":0.06919599,"about_ca_topic_score_gemma":0.039367013,"teacher_disagreement_score":0.06919599,"about_ca_system_score_codex":0.0036982885,"about_ca_system_score_gemma":0.0026720287,"threshold_uncertainty_score":0.13758641},"labels":[],"label_agreement":null},{"id":"W2106497381","doi":"10.5539/ijef.v6n10p67","title":"Technical Trading Rules in Australian Financial Markets","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Futures contract; Technical analysis; Trading strategy; Profitability index; Financial economics; Economics; Algorithmic trading; Financial market; Stock (firearms); Pairs trade; Open outcry; Test (biology); Index (typography); Business; Alternative trading system; Econometrics; Finance; Computer science","score_opus":0.024133714913789676,"score_gpt":0.22703737590497838,"score_spread":0.2029036609911887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106497381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9771588,0.0004077179,0.009569172,0.00025402918,0.00002339917,0.000046132882,0.00013684713,0.00004487701,0.012359117],"genre_scores_gemma":[0.9952701,0.00014628054,0.0032384521,0.00004459407,0.000012544159,0.000013284231,0.0001175127,0.0000071357385,0.0011500848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99626285,0.00084206456,0.00048475518,0.00039748367,0.0018111776,0.00020163096],"domain_scores_gemma":[0.9816124,0.007873205,0.005975671,0.0025114142,0.001620401,0.00040679012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004720354,0.0002435668,0.00053067895,0.001640287,0.001025848,0.0025795752,0.00079028873,0.00079192425,0.0019858982],"category_scores_gemma":[0.028606998,0.00028272058,0.00057646696,0.0016655362,0.0018476951,0.00234603,0.001080148,0.0006022967,0.00025169694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092373847,0.0004736964,0.39841947,0.00050196884,0.0005998011,0.0034947526,0.0041231043,0.1045362,0.01296597,0.21183689,0.0035114784,0.25861302],"study_design_scores_gemma":[0.00013514447,0.0005811718,0.49892145,0.000108224194,0.00018593391,0.0025863221,0.0013924923,0.19795042,0.0049300813,0.27651522,0.016471209,0.00022239286],"about_ca_topic_score_codex":0.004250793,"about_ca_topic_score_gemma":0.0049371794,"teacher_disagreement_score":0.004720354,"about_ca_system_score_codex":0.00097501965,"about_ca_system_score_gemma":0.0007979957,"threshold_uncertainty_score":0.024963975},"labels":[],"label_agreement":null},{"id":"W2106551117","doi":"10.1111/j.1467-9965.2007.00312.x","title":"A NOTE ON THE EFFECTS OF TAXES ON OPTIMAL INVESTMENT","year":2007,"lang":"en","type":"article","venue":"Mathematical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Taxable income; Bond; Transaction cost; Portfolio; Economics; Database transaction; Asset (computer security); Investment (military); Financial economics; Monetary economics; Microeconomics; Finance","score_opus":0.02231363430964554,"score_gpt":0.22730280934478533,"score_spread":0.2049891750351398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106551117","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.109934494,0.04285932,0.40013444,0.06052048,0.003762476,0.00011936968,0.0007837188,0.00047819462,0.38140762],"genre_scores_gemma":[0.8815365,0.028596077,0.034272607,0.006842149,0.0031351733,0.00012765396,0.00017032618,0.00035549977,0.04496399],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989096,0.00052315055,0.00006397801,0.000136015,0.00022257084,0.00014473863],"domain_scores_gemma":[0.9793723,0.017214961,0.0010187866,0.0012569943,0.0008258974,0.00031101506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023843006,0.0009994255,0.0015123658,0.0007836355,0.00072102214,0.00284064,0.0012490049,0.0021393031,0.01733234],"category_scores_gemma":[0.026122058,0.00047582848,0.0012273156,0.0010627087,0.0027125864,0.0045803017,0.002006496,0.004139091,0.0009070285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021331842,0.00011916767,0.0011646552,0.00032377598,0.000082777755,0.00045713893,0.00011854913,0.07235952,0.0012195789,0.8672587,0.010351044,0.04633168],"study_design_scores_gemma":[0.000053661217,0.00006400853,0.0010192156,0.00010179877,0.000045667945,0.000118497,0.000055670156,0.048916157,0.0009070643,0.9382885,0.010398195,0.000031589425],"about_ca_topic_score_codex":0.004204479,"about_ca_topic_score_gemma":0.0032078184,"teacher_disagreement_score":0.01733234,"about_ca_system_score_codex":0.0015887227,"about_ca_system_score_gemma":0.0008936496,"threshold_uncertainty_score":0.057982445},"labels":[],"label_agreement":null},{"id":"W2106768919","doi":"10.2139/ssrn.395140","title":"Are There Permanent Valuation Gains to Overseas Listings?","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Valuation (finance); Business; Economics; Accounting","score_opus":0.0429508712858073,"score_gpt":0.25880209637389795,"score_spread":0.21585122508809065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106768919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8627761,0.0021409292,0.0037816071,0.015024201,0.00040379324,0.00003985159,0.00068974926,0.00018683134,0.114957005],"genre_scores_gemma":[0.9905239,0.00035638572,0.00024016312,0.0005725857,0.0002728278,0.00000441405,0.000108884684,0.000017366492,0.007903419],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99925476,0.00013789411,0.000034930054,0.00014941693,0.00012943185,0.00029356618],"domain_scores_gemma":[0.9893947,0.0036210036,0.003020996,0.0013455097,0.00096513284,0.0016525503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018980516,0.0002789265,0.00060552434,0.00069033157,0.0007902172,0.004007479,0.00088039227,0.0017989529,0.058184013],"category_scores_gemma":[0.013982693,0.00021701821,0.00047334598,0.0007534053,0.0019815303,0.0075750756,0.00095444114,0.0015088451,0.0029724357],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0062403646,0.0034369843,0.25570974,0.0006866087,0.00070479605,0.0022799163,0.0015603723,0.005219612,0.009686507,0.22727297,0.026783822,0.46041837],"study_design_scores_gemma":[0.0005227555,0.001867947,0.54471344,0.00025483605,0.0005145731,0.0015332318,0.0060935575,0.0059197075,0.004352702,0.39202604,0.042088613,0.00011250206],"about_ca_topic_score_codex":0.0015445763,"about_ca_topic_score_gemma":0.0031491974,"teacher_disagreement_score":0.058184013,"about_ca_system_score_codex":0.000859303,"about_ca_system_score_gemma":0.00068400643,"threshold_uncertainty_score":0.19464493},"labels":[],"label_agreement":null},{"id":"W2106871683","doi":"10.3905/jot.2012.7.1.018","title":"Adverse Selection in a High-Frequency Trading Environment","year":2011,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"Adverse selection; Block (permutation group theory); Market liquidity; Selection (genetic algorithm); Computer science; Portfolio; Equity (law); Business; Actuarial science; Machine learning; Mathematics; Finance","score_opus":0.046566704122949304,"score_gpt":0.19133899030593748,"score_spread":0.14477228618298818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106871683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9343678,0.000055941433,0.0611647,0.00018361882,0.000024453737,0.00005327416,0.00007452043,0.00011282303,0.0039629117],"genre_scores_gemma":[0.9954047,0.00001747585,0.0040051234,0.000039933777,0.000015883394,0.00001949823,0.000046970235,0.000008482598,0.00044192022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99275243,0.0036284653,0.00039064945,0.0008980049,0.0018256766,0.00050473725],"domain_scores_gemma":[0.9152853,0.05401666,0.01837672,0.0086576175,0.0023868375,0.0012769328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006356272,0.00031584917,0.00059418735,0.0008067899,0.00054994394,0.0019578012,0.000563771,0.0005890078,0.0027270557],"category_scores_gemma":[0.034778874,0.00020065987,0.00044237298,0.00075921067,0.0021013722,0.0019484932,0.0014057216,0.00089668215,0.00019425298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002591989,0.0011940184,0.45236862,0.00019908031,0.00051456795,0.002262845,0.0015240228,0.23594032,0.027878106,0.15347844,0.00352588,0.11852207],"study_design_scores_gemma":[0.00012685095,0.0012016549,0.15599646,0.00003656186,0.00009387163,0.00089213223,0.00069025473,0.65639055,0.013469282,0.16879573,0.0021838478,0.00012275612],"about_ca_topic_score_codex":0.00059608504,"about_ca_topic_score_gemma":0.0007973569,"teacher_disagreement_score":0.006356272,"about_ca_system_score_codex":0.00061337196,"about_ca_system_score_gemma":0.00039815577,"threshold_uncertainty_score":0.03361559},"labels":[],"label_agreement":null},{"id":"W2106897816","doi":"10.1002/asmb.1921","title":"Liquidity, risk, and return: specifying an objective function for the management of foreign reserves","year":2012,"lang":"en","type":"article","venue":"Applied Stochastic Models in Business and Industry","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; The King's University; Western University","funders":"","keywords":"Market liquidity; Portfolio; Foreign-exchange reserves; Business; Liquidity risk; Economics; Excess reserves; Liquidity crisis; Finance; Monetary economics; Reserve requirement; Monetary policy; Central bank; Exchange rate","score_opus":0.07507769182834902,"score_gpt":0.2390160970484097,"score_spread":0.1639384052200607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106897816","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05957634,0.00089845096,0.9276033,0.0019028325,0.000059908154,0.00008498116,0.00020847158,0.00009128849,0.009574492],"genre_scores_gemma":[0.8228213,0.001663866,0.16676538,0.00025697242,0.00013476665,0.00041018045,0.00026077405,0.00013026815,0.0075565176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987828,0.00083908567,0.000042435913,0.00009537943,0.00010424812,0.00013600214],"domain_scores_gemma":[0.9962147,0.0029979353,0.0003537088,0.000098791344,0.00019711828,0.0001377641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039087497,0.0018155314,0.0012303249,0.00073340995,0.00046098343,0.0028641543,0.000918783,0.002734975,0.002343197],"category_scores_gemma":[0.007876279,0.00086955423,0.0011734494,0.0008939544,0.0012094058,0.0030160188,0.0015428726,0.002363667,0.00027941546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025080477,0.000046047553,0.00042383978,0.000044280587,0.00001960675,0.00006107395,0.00004152222,0.9368322,0.00031551,0.057426173,0.0005401216,0.0042244894],"study_design_scores_gemma":[0.000011899441,0.000028572837,0.00014645366,0.000023886048,0.00001098216,0.00001800747,0.00003370089,0.96984977,0.00017874979,0.029109804,0.0005766175,0.000011512466],"about_ca_topic_score_codex":0.006532379,"about_ca_topic_score_gemma":0.004022331,"teacher_disagreement_score":0.006532379,"about_ca_system_score_codex":0.0022518858,"about_ca_system_score_gemma":0.0036139593,"threshold_uncertainty_score":0.020671725},"labels":[],"label_agreement":null},{"id":"W2107969656","doi":"10.6000/1929-7092.2013.02.32","title":"Herding, Heterogeneity, and Momentum Trading of Institutional Investors Across Asset Classes","year":2013,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Institutional investor; Business; Momentum (technical analysis); Bond; Financial economics; Financial system; Economics; Monetary economics; Finance; Corporate governance","score_opus":0.05824627798512684,"score_gpt":0.2769456030934728,"score_spread":0.218699325108346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107969656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99884665,0.00018956311,0.0002870899,0.00003804816,0.0000011154004,0.0000028210522,0.000023906745,0.0000016970286,0.00060911267],"genre_scores_gemma":[0.9996871,0.00007119491,0.00008468017,0.000007099358,0.0000032527448,0.0000012694686,0.00002893323,4.094502e-7,0.00011615652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996532,0.00009864194,0.000025473033,0.00007073286,0.00005757301,0.00009431709],"domain_scores_gemma":[0.9965174,0.0014457382,0.0014905004,0.00017317593,0.00016622938,0.00020698099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001239257,0.00009744657,0.00027176776,0.0009823757,0.00023822077,0.0008505718,0.00023448232,0.0002981659,0.000931565],"category_scores_gemma":[0.0048299236,0.000091380556,0.00017102258,0.00068561453,0.00036482268,0.0009802511,0.0004674646,0.00021982026,0.00010247247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011084981,0.0000462619,0.97723186,0.000013370625,0.00010488015,0.000092477094,0.00064855156,0.00084955763,0.0007768663,0.00076130574,0.00014717082,0.019216994],"study_design_scores_gemma":[0.000008068295,0.00009816175,0.990168,0.000015292051,0.00004341427,0.00011714154,0.0011617137,0.005990199,0.00035374155,0.001653406,0.00038196566,0.000008862878],"about_ca_topic_score_codex":0.0037051467,"about_ca_topic_score_gemma":0.0042782696,"teacher_disagreement_score":0.0037051467,"about_ca_system_score_codex":0.0003774547,"about_ca_system_score_gemma":0.00012817357,"threshold_uncertainty_score":0.007367134},"labels":[],"label_agreement":null},{"id":"W2108010710","doi":"10.5430/afr.v1n1p219","title":"Investors’ Behavioural Biases and the Security Market: An Empirical Study of the Nigerian Security Market","year":2012,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Irrationality; Stock market; Economics; Perception; Security market; Survey data collection; Investment (military); Business; Actuarial science; Financial economics; Finance; Rationality; Psychology","score_opus":0.11793440947361433,"score_gpt":0.33379367529496945,"score_spread":0.21585926582135512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108010710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99937004,0.00006130117,0.0000373944,0.000035061414,0.0000012867282,0.0000074080212,0.000014940915,1.6331184e-7,0.0004724891],"genre_scores_gemma":[0.9995988,0.0001134776,0.00005845205,0.000014585931,0.000004127099,0.0000047658264,0.000026791226,3.246401e-7,0.00017870741],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995353,0.00015775138,0.000058852453,0.000040274794,0.00012316825,0.000084601124],"domain_scores_gemma":[0.9950051,0.0018857869,0.0023069077,0.00015794793,0.00031899908,0.00032528953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014025351,0.00016585081,0.00019850381,0.001057003,0.0005451833,0.0009342778,0.00022180707,0.00047771633,0.0014336407],"category_scores_gemma":[0.004821199,0.00016568312,0.00021061701,0.0010604801,0.00074168295,0.0015127207,0.0007373583,0.00064562063,0.00017392947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005958723,0.00020753923,0.99152,0.0000234507,0.000018546963,0.00028609182,0.0031959724,0.00008631512,0.00027119636,0.00039194842,0.000082041835,0.0038573549],"study_design_scores_gemma":[0.0000058652345,0.00015437407,0.98781323,0.00004172743,0.00002185797,0.00032033082,0.009476962,0.0010861846,0.00021848165,0.00022283394,0.0006286084,0.000009556474],"about_ca_topic_score_codex":0.003235634,"about_ca_topic_score_gemma":0.004332627,"teacher_disagreement_score":0.003235634,"about_ca_system_score_codex":0.0004235178,"about_ca_system_score_gemma":0.0004234381,"threshold_uncertainty_score":0.0074174404},"labels":[],"label_agreement":null},{"id":"W2108284144","doi":"10.2139/ssrn.2001912","title":"Algorithmic Trading and the Market for Liquidity","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Market liquidity; Algorithmic trading; Dark liquidity; High-frequency trading; Business; Pairs trade; Financial economics; Market microstructure; Monetary economics; Economics; Financial system; Alternative trading system; Finance; Order (exchange)","score_opus":0.019704621992245118,"score_gpt":0.2129749471054079,"score_spread":0.19327032511316278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108284144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5396459,0.0045440784,0.37798762,0.014129036,0.0004155694,0.00006776232,0.00018974186,0.00041034186,0.06261],"genre_scores_gemma":[0.98088396,0.0004929125,0.014688043,0.00019910852,0.00018062578,0.000024872772,0.000046047076,0.000035141387,0.0034493753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991386,0.00042910263,0.000051708517,0.00011962866,0.00017945754,0.00008141162],"domain_scores_gemma":[0.9902692,0.007359553,0.0010320847,0.0006782573,0.0003556957,0.0003052484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019601525,0.00037032814,0.0006427164,0.0008114236,0.0007349853,0.004791746,0.000978123,0.0024022954,0.006332378],"category_scores_gemma":[0.019088354,0.0003328209,0.00055634626,0.0006533633,0.0029399279,0.0073691555,0.0015612883,0.0016891018,0.00032639658],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011162928,0.000050042254,0.0012546408,0.000060044404,0.00003750126,0.00009134563,0.00008860009,0.028562425,0.0007433869,0.9535512,0.0011781853,0.014271008],"study_design_scores_gemma":[0.000030896957,0.00001395198,0.00024815052,0.0000097404045,0.000005975328,0.000039491402,0.00001924314,0.091844395,0.00014619103,0.9070598,0.0005732145,0.000008938698],"about_ca_topic_score_codex":0.00040537625,"about_ca_topic_score_gemma":0.00042040527,"teacher_disagreement_score":0.006332378,"about_ca_system_score_codex":0.0006849222,"about_ca_system_score_gemma":0.0008370537,"threshold_uncertainty_score":0.021183908},"labels":[],"label_agreement":null},{"id":"W2108568402","doi":"10.2139/ssrn.2388976","title":"Good Disclosure, Bad Disclosure","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Actuarial science","score_opus":0.009800293863477458,"score_gpt":0.19348896394797582,"score_spread":0.18368867008449835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108568402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88899964,0.0029134762,0.0046699606,0.026326917,0.0009998413,0.000072275216,0.0011147655,0.00011199106,0.074791044],"genre_scores_gemma":[0.9967303,0.0002571443,0.00029485338,0.0007884521,0.00024748885,0.000008222467,0.00007893135,0.000004327501,0.0015902395],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967085,0.001233416,0.00045489616,0.00034242106,0.0007800378,0.00048063588],"domain_scores_gemma":[0.9345264,0.036440723,0.020230735,0.0034191455,0.002667782,0.0027151534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048235995,0.00023343545,0.00040598458,0.0013716415,0.00079284655,0.0033621327,0.00019168117,0.0016884706,0.007906577],"category_scores_gemma":[0.047049668,0.0001757806,0.00019083518,0.00081385777,0.002160033,0.002584867,0.0010594311,0.0014274067,0.0007444953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033161023,0.0008402198,0.5056424,0.0009093636,0.0005457261,0.0010489865,0.003769319,0.004146628,0.004222427,0.23621917,0.03847057,0.20086898],"study_design_scores_gemma":[0.00041819582,0.001153349,0.34337172,0.0003991705,0.00050845405,0.004990271,0.0069216057,0.011270409,0.0046891114,0.5930544,0.033059087,0.00016422891],"about_ca_topic_score_codex":0.00024237725,"about_ca_topic_score_gemma":0.00042763364,"teacher_disagreement_score":0.007906577,"about_ca_system_score_codex":0.00034833746,"about_ca_system_score_gemma":0.00046584496,"threshold_uncertainty_score":0.026450157},"labels":[],"label_agreement":null},{"id":"W2108925234","doi":"10.5430/afr.v1n1p169","title":"Testing the Weak Form of Efficient Market Hypothesis in Nigerian Capital Market","year":2012,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Statistic; Economics; Econometrics; Autocorrelation; Efficient-market hypothesis; Randomness tests; Stock exchange; Capital market; Test statistic; Normality test; Financial economics; Statistical hypothesis testing; Stock market; Statistics; Randomness; Mathematics; Finance","score_opus":0.07725097333169227,"score_gpt":0.26612050351526445,"score_spread":0.18886953018357217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108925234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99107844,0.00010492159,0.005007148,0.00024766574,0.000018319122,0.00004763715,0.00008456083,0.0000063687976,0.0034050194],"genre_scores_gemma":[0.99898726,0.000035287416,0.00065088045,0.000026303504,0.000020002695,0.0000206131,0.00007712693,0.0000019266301,0.00018066062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98931444,0.0036627154,0.0015549463,0.0020343452,0.0022408378,0.0011926416],"domain_scores_gemma":[0.82929,0.12696145,0.026575897,0.00746104,0.0072452244,0.0024664898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015874261,0.0004806432,0.0010039102,0.001962348,0.0007041449,0.0028160815,0.0010295155,0.0011328171,0.0065532224],"category_scores_gemma":[0.08656095,0.00037755026,0.00086783257,0.00096904865,0.0046866825,0.005079485,0.0020949976,0.0010443641,0.0005047484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016084079,0.0006984867,0.9021393,0.0003329463,0.00052092114,0.0020823586,0.0017462475,0.0086958045,0.0036046733,0.051515557,0.0005847476,0.026470536],"study_design_scores_gemma":[0.00031415006,0.0026487692,0.81948227,0.0001644026,0.0002810775,0.001743072,0.006539983,0.09405551,0.005124094,0.06745464,0.0021014654,0.00009054393],"about_ca_topic_score_codex":0.0008736332,"about_ca_topic_score_gemma":0.0006361006,"teacher_disagreement_score":0.015874261,"about_ca_system_score_codex":0.000613838,"about_ca_system_score_gemma":0.0012299875,"threshold_uncertainty_score":0.08395213},"labels":[],"label_agreement":null},{"id":"W2108994216","doi":"10.5539/ijef.v6n6p103","title":"Foreign Institutional Investments and Liquidity of Stock Markets: Evidence from India","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Stock market; Monetary economics; Institutional investor; Liquidity crisis; Third market; Market impact; Economics; Volatility (finance); Market capitalization; Business; Financial system; Market microstructure; Financial economics; Order (exchange); Finance; Corporate governance","score_opus":0.03544983435810672,"score_gpt":0.22777133372746688,"score_spread":0.19232149936936016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108994216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99457043,0.0014217095,0.00003323035,0.00040006827,0.000004174581,0.0000033184415,0.00036491474,0.000003893209,0.0031982898],"genre_scores_gemma":[0.99850816,0.0010726048,0.000024835399,0.00003496012,0.000012519288,0.000001014053,0.00018634262,7.8622395e-7,0.00015875665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998548,0.000031176878,0.00001787768,0.00001648616,0.00004170145,0.000037870515],"domain_scores_gemma":[0.99608433,0.0010955568,0.0019737303,0.00012178269,0.00039033784,0.00033430697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031915613,0.00012710047,0.00010919743,0.0012687607,0.00026434695,0.0010485342,0.00027283348,0.0002379112,0.0013972077],"category_scores_gemma":[0.0019956203,0.00010619823,0.00032006658,0.001968835,0.0004727753,0.00051826145,0.0005775383,0.00046429914,0.00018127769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010319924,0.000057168134,0.98893446,0.000074551564,0.00009476636,0.00032593386,0.0006806845,0.00023496429,0.00023236244,0.0005221697,0.0005210152,0.008218801],"study_design_scores_gemma":[0.00000607476,0.000041145126,0.99741876,0.000035238463,0.0000789672,0.00018357462,0.00088907685,0.00021120708,0.00019229743,0.0001554573,0.0007817242,0.000006438427],"about_ca_topic_score_codex":0.020840459,"about_ca_topic_score_gemma":0.029131297,"teacher_disagreement_score":0.020840459,"about_ca_system_score_codex":0.00035629713,"about_ca_system_score_gemma":0.00050497043,"threshold_uncertainty_score":0.04143834},"labels":[],"label_agreement":null},{"id":"W2109457294","doi":"10.2139/ssrn.2348048","title":"An Integrated Model of University Endowments","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Economics","score_opus":0.01591454339205976,"score_gpt":0.18570186101782682,"score_spread":0.16978731762576707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109457294","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40542084,0.0029577035,0.42525086,0.015590105,0.00048026862,0.00022382945,0.0052734637,0.0007989022,0.14400408],"genre_scores_gemma":[0.86485034,0.0014293108,0.012029411,0.0003408611,0.00018095953,0.00018545077,0.000873906,0.000103645914,0.120006144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998818,0.0004081183,0.00005091984,0.0002732214,0.00014403154,0.0003056117],"domain_scores_gemma":[0.99792093,0.0007126005,0.0004032845,0.00013750649,0.00027606764,0.0005496065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016228891,0.0009243067,0.002236946,0.0014799908,0.00091623864,0.0056487713,0.003769863,0.005117877,0.021110367],"category_scores_gemma":[0.0054997383,0.0014395954,0.0014020923,0.00323413,0.0018928427,0.0060898745,0.0025725707,0.0029023367,0.0026870407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013839566,0.00014877282,0.0017551176,0.000048800433,0.00008083933,0.00032193068,0.00011329486,0.66683215,0.00026755902,0.32122612,0.0034942464,0.0055727516],"study_design_scores_gemma":[0.00011933536,0.0000591453,0.00074964616,0.000024499233,0.00004072245,0.00008508748,0.00008373749,0.90832514,0.00007941955,0.08779358,0.0026045945,0.000035060282],"about_ca_topic_score_codex":0.03080924,"about_ca_topic_score_gemma":0.017380198,"teacher_disagreement_score":0.03080924,"about_ca_system_score_codex":0.0038264312,"about_ca_system_score_gemma":0.0028709576,"threshold_uncertainty_score":0.07062119},"labels":[],"label_agreement":null},{"id":"W2109588086","doi":"10.2139/ssrn.1784367","title":"Loss Aversion, Survival and Asset Prices","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Loss aversion; Portfolio; Economics; Arbitrage; Preference; Asset (computer security); Financial economics; Capital asset pricing model; Selection (genetic algorithm); Behavioral economics; Market portfolio; Risk aversion (psychology); Monetary economics; Microeconomics; Expected utility hypothesis","score_opus":0.025449318418813444,"score_gpt":0.19926385489126092,"score_spread":0.17381453647244746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109588086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9567056,0.00346621,0.024076805,0.0031033563,0.00007274316,0.000013809329,0.00012608703,0.000045763438,0.012389659],"genre_scores_gemma":[0.9948743,0.0008696812,0.00037772817,0.0000662396,0.00006839163,0.0000034822842,0.000040541727,0.0000043876853,0.003695174],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99986434,0.00005609564,0.0000071197046,0.000018506318,0.000018056151,0.000035867804],"domain_scores_gemma":[0.9957075,0.0026498376,0.0009626978,0.00013560163,0.00012830757,0.00041597328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015443484,0.00029729703,0.00036623082,0.00045075297,0.00025560838,0.0017552184,0.0002560604,0.0008947073,0.0055874498],"category_scores_gemma":[0.007319046,0.00014719494,0.0002219522,0.00044103674,0.0012637038,0.0016547486,0.00056267047,0.0016247566,0.00033336616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021159775,0.00089207164,0.1655227,0.0003890336,0.00034637895,0.0018119585,0.0016441133,0.10148499,0.004364122,0.60308695,0.010497368,0.10784432],"study_design_scores_gemma":[0.00009825582,0.00031959426,0.056056023,0.000054027536,0.00008351087,0.00069611747,0.0007175892,0.067695685,0.00025601234,0.8718386,0.0021433628,0.0000411898],"about_ca_topic_score_codex":0.00096319575,"about_ca_topic_score_gemma":0.00090563507,"teacher_disagreement_score":0.0055874498,"about_ca_system_score_codex":0.00042614003,"about_ca_system_score_gemma":0.00032091938,"threshold_uncertainty_score":0.018691897},"labels":[],"label_agreement":null},{"id":"W2109678808","doi":"10.5267/j.msl.2014.1.003","title":"Investigating the effect of adjusted DuPont ratio and its components on investor's decisions in short and long term","year":2014,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Econometrics; Business; Actuarial science; Economics; Stock (firearms); Profit margin; Term (time); Financial economics; Finance","score_opus":0.033830072885845795,"score_gpt":0.22823781341837232,"score_spread":0.19440774053252652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109678808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988017,0.00022137433,0.0002680191,0.000075341166,0.000006947465,0.000005171285,0.00005073452,0.0000032776372,0.0005674667],"genre_scores_gemma":[0.9992729,0.00008190871,0.00021763703,0.000016875387,0.00000985239,0.0000040497257,0.00007582255,9.577568e-7,0.00032002106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989207,0.0003523511,0.0000939227,0.00019947693,0.00025473078,0.00017880993],"domain_scores_gemma":[0.9861265,0.007512528,0.004462371,0.00046952872,0.00057970715,0.0008493619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018587984,0.00026371158,0.00033172994,0.00044289159,0.00018311865,0.0007790528,0.00023265288,0.00042396333,0.0014122139],"category_scores_gemma":[0.010526414,0.000085091575,0.00050293154,0.0004501776,0.00021124732,0.00047668713,0.00036363915,0.00057660294,0.00015650514],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040058026,0.00012267267,0.9838509,0.00001571094,0.00019167243,0.00015416373,0.00013155637,0.0006822586,0.00068953854,0.00016120439,0.000110560984,0.013489055],"study_design_scores_gemma":[0.0000059083545,0.00044600712,0.99479276,0.000006546361,0.00013065482,0.00009012925,0.00023109159,0.003286777,0.0005222037,0.00017919368,0.0002999954,0.000008667566],"about_ca_topic_score_codex":0.0028189875,"about_ca_topic_score_gemma":0.0037832893,"teacher_disagreement_score":0.0028189875,"about_ca_system_score_codex":0.00042875865,"about_ca_system_score_gemma":0.0003096472,"threshold_uncertainty_score":0.009830415},"labels":[],"label_agreement":null},{"id":"W2109683579","doi":"","title":"Separating Winners from Losers Among Value and Growth Stocks in Different US Exchanges: 1969-2011","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Value premium; Sample (material); Value (mathematics); Growth stock; Economics; Financial economics; Econometrics; Market value; Business; Monetary economics; Capital asset pricing model; Accounting; Stock market; Statistics; Geography; Market maker; Mathematics","score_opus":0.01024719339379188,"score_gpt":0.18947976373983894,"score_spread":0.17923257034604706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109683579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977952,0.00017844368,0.00006135418,0.00006412936,0.0000068454374,0.000005383786,0.0011285599,0.000004626469,0.0007553681],"genre_scores_gemma":[0.99547184,0.00012920391,0.000066973174,0.000022287004,0.000019536008,0.0000035904866,0.0033581057,0.0000035862156,0.0009248756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996233,0.0000313714,0.00006310548,0.000075191456,0.00010753025,0.0000994477],"domain_scores_gemma":[0.99671197,0.00034923851,0.0020075701,0.00015046453,0.0004258773,0.0003549592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009384388,0.00026907402,0.00026573273,0.0028121073,0.00035143408,0.0012804429,0.0002785364,0.00038474955,0.0010169656],"category_scores_gemma":[0.0027498077,0.00012543245,0.0003614863,0.0027183443,0.00038429463,0.0010858647,0.0012773904,0.00045666922,0.00024954972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001660757,0.000026698404,0.9931211,0.000016868917,0.0000647843,0.000116275245,0.00032956232,0.00021128064,0.0002848357,0.0002102786,0.0005068108,0.0049453494],"study_design_scores_gemma":[0.0000018982158,0.000022573677,0.99840075,0.000005914292,0.000018347142,0.000052027433,0.00034752156,0.00022684873,0.00025414288,0.00003382466,0.000632399,0.0000039034126],"about_ca_topic_score_codex":0.029743837,"about_ca_topic_score_gemma":0.050173707,"teacher_disagreement_score":0.029743837,"about_ca_system_score_codex":0.0006792581,"about_ca_system_score_gemma":0.00036573905,"threshold_uncertainty_score":0.059141457},"labels":[],"label_agreement":null},{"id":"W2109882795","doi":"10.3386/w10410","title":"Heterogeneous Investors and their Changing Demand and Supply Schedules for Individual Common Stocks","year":2004,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Economics; Monetary economics; Financial economics; Industrial organization","score_opus":0.32557789306714696,"score_gpt":0.4215953040734337,"score_spread":0.09601741100628675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109882795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99908197,0.000014795657,0.00025285126,0.000022022412,7.6404166e-7,0.0000055795404,0.0003353097,0.0000039885103,0.0002828558],"genre_scores_gemma":[0.99864405,0.000023403161,0.00020933362,0.000006474011,0.0000026282544,0.000005492719,0.00083728053,0.0000024689177,0.00026886683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968696,0.00008379088,0.000038504033,0.00007718588,0.000050319402,0.000063249034],"domain_scores_gemma":[0.9948396,0.0022080792,0.0019632266,0.0004335875,0.0002665931,0.0002888547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012267599,0.0003108893,0.00029492562,0.0011040154,0.00020625938,0.0010675157,0.0003722019,0.00048638496,0.003239506],"category_scores_gemma":[0.007895092,0.00039584812,0.00043450104,0.0009861868,0.00027388195,0.0011044103,0.0004951502,0.00043409885,0.0006734164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030871906,0.00012699806,0.9796147,0.000013779508,0.00009638192,0.00012664586,0.00029854014,0.009466202,0.0010771254,0.0007931624,0.00045294408,0.007624831],"study_design_scores_gemma":[0.00005022907,0.00017000154,0.8895811,0.000009900118,0.0000699451,0.0002582034,0.0008486987,0.105345204,0.0011851451,0.0018047838,0.0006349329,0.000041912648],"about_ca_topic_score_codex":0.0068892143,"about_ca_topic_score_gemma":0.00854528,"teacher_disagreement_score":0.0068892143,"about_ca_system_score_codex":0.00069609634,"about_ca_system_score_gemma":0.00018846075,"threshold_uncertainty_score":0.01369822},"labels":[],"label_agreement":null},{"id":"W2109920861","doi":"10.1002/fut.20122","title":"Weather derivatives valuation and market price of weather risk","year":2004,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":210,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; York University","funders":"","keywords":"Valuation (finance); Econometrics; Economics; Market price; Dividend; Aggregate (composite); Financial economics; Microeconomics; Finance","score_opus":0.0173120841115934,"score_gpt":0.21811643243150208,"score_spread":0.20080434831990868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109920861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6680993,0.0016660212,0.30828524,0.0011628122,0.00011922337,0.0000502865,0.0001840509,0.0001261299,0.020306893],"genre_scores_gemma":[0.9948949,0.00019481842,0.003860881,0.000011053974,0.000040009974,0.0000052358782,0.000029670855,0.000008027271,0.0009553212],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967456,0.00014185005,0.00001902218,0.000038246384,0.00009753637,0.000028796825],"domain_scores_gemma":[0.9982323,0.0008243454,0.00045062057,0.00012883978,0.00023614512,0.00012783713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013379756,0.00035323447,0.00040888964,0.00055457506,0.0002517963,0.0021863803,0.000412651,0.00075226027,0.0025093812],"category_scores_gemma":[0.006322933,0.00018911184,0.00037290956,0.0005216363,0.0011371094,0.0038363268,0.00059597025,0.0008229147,0.00012842364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016018278,0.000057854464,0.009862432,0.000074861244,0.000053447526,0.0005618065,0.00017603413,0.32072142,0.005906195,0.64299154,0.00094156194,0.018492732],"study_design_scores_gemma":[0.000024666624,0.00006826357,0.0046202666,0.0000189875,0.00001687426,0.00013717363,0.000078883226,0.80057645,0.0012452725,0.19178435,0.0014004179,0.000028427467],"about_ca_topic_score_codex":0.0012684187,"about_ca_topic_score_gemma":0.0007165905,"teacher_disagreement_score":0.0025093812,"about_ca_system_score_codex":0.0007816032,"about_ca_system_score_gemma":0.00044900505,"threshold_uncertainty_score":0.008394718},"labels":[],"label_agreement":null},{"id":"W2109972525","doi":"10.5430/afr.v3n4p24","title":"Comparisons of Asset Pricing Models in the Egyptian Stock Market","year":2014,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Qatar University; University of Stirling","keywords":"Capital asset pricing model; Market liquidity; Unavailability; Econometrics; Economics; Financial economics; Stock market; Stock (firearms); Factor analysis; Monetary economics; Statistics; Mathematics","score_opus":0.10242121967019578,"score_gpt":0.3071487140607928,"score_spread":0.204727494390597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109972525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99238056,0.00038828186,0.0037480395,0.00033647343,0.000011059401,0.000021222297,0.00020690479,0.00006646274,0.0028409963],"genre_scores_gemma":[0.9977925,0.00020334589,0.0012399585,0.000036061316,0.0000131719435,0.00001182974,0.00031223724,0.000009753911,0.00038108908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99799407,0.0011866948,0.00012142231,0.0002478941,0.00026824177,0.00018166093],"domain_scores_gemma":[0.9914677,0.0066317567,0.000685386,0.0004592113,0.000537151,0.00021878337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005969056,0.00070426776,0.00080219324,0.0019791091,0.00038926178,0.002418391,0.0012322934,0.0012345915,0.002548406],"category_scores_gemma":[0.014627802,0.00024856615,0.0014029793,0.001170408,0.0006466598,0.0023009377,0.0007370956,0.0008538959,0.0003915721],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017832897,0.00068755384,0.22789593,0.00029353274,0.0013887399,0.00065725704,0.0010825951,0.6453572,0.0013944905,0.06258132,0.0033092313,0.053568944],"study_design_scores_gemma":[0.00013427521,0.00049425004,0.059919257,0.0000421266,0.00018355066,0.00016054692,0.0006638198,0.9203456,0.00051323196,0.016297534,0.0011884632,0.000057333877],"about_ca_topic_score_codex":0.017566733,"about_ca_topic_score_gemma":0.0070303823,"teacher_disagreement_score":0.017566733,"about_ca_system_score_codex":0.0018313671,"about_ca_system_score_gemma":0.00085650483,"threshold_uncertainty_score":0.034928977},"labels":[],"label_agreement":null},{"id":"W2110141348","doi":"10.1016/s1058-3300(03)00038-7","title":"The day of the week effect on stock market volatility and volume: International evidence","year":2003,"lang":"en","type":"article","venue":"Review of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":261,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Forward volatility; Stock market; Volatility risk premium; Volatility swap; Market liquidity; Volatility smile; Financial economics; Names of the days of the week; Stock (firearms); Monetary economics; Implied volatility; Econometrics; Geography","score_opus":0.025132642324090047,"score_gpt":0.2342660995771926,"score_spread":0.20913345725310256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110141348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98845005,0.0052228393,0.00026594545,0.00068326737,0.000062062536,0.000007090262,0.00061658164,0.000010929112,0.004681174],"genre_scores_gemma":[0.99676454,0.0019736527,0.00008072921,0.000093559414,0.00014207074,0.0000032881194,0.0003839651,0.000009835947,0.0005482902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921834,0.0002934665,0.000055171226,0.00015826196,0.00017473937,0.00010002583],"domain_scores_gemma":[0.9724885,0.012791618,0.010672682,0.0014958077,0.0012175266,0.00133389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015669508,0.00021389204,0.00043451035,0.00090546854,0.00031516966,0.0014840425,0.00042648523,0.00050587347,0.0042332294],"category_scores_gemma":[0.008879522,0.00021091022,0.00062057434,0.0016064446,0.00067412364,0.0007121263,0.00072285946,0.00070703565,0.0006593588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005351118,0.00014201956,0.9851267,0.00007077481,0.000434301,0.00016722092,0.00025770138,0.00023623866,0.0003006878,0.00057084684,0.00097338436,0.011185069],"study_design_scores_gemma":[0.000008314259,0.00007803506,0.9981286,0.00002266177,0.000119875855,0.000059815757,0.00015815902,0.00013156736,0.000095954834,0.00016308806,0.0010274311,0.0000064428496],"about_ca_topic_score_codex":0.006742977,"about_ca_topic_score_gemma":0.005406054,"teacher_disagreement_score":0.006742977,"about_ca_system_score_codex":0.00026048007,"about_ca_system_score_gemma":0.00024352313,"threshold_uncertainty_score":0.014161587},"labels":[],"label_agreement":null},{"id":"W2110236934","doi":"10.2139/ssrn.288466","title":"Prospect Theory, Mental Accounting, and Momentum","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":164,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mental accounting; Accounting; Momentum (technical analysis); Economics; Actuarial science; Financial economics","score_opus":0.009653305398338337,"score_gpt":0.1989167636253145,"score_spread":0.18926345822697616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110236934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6796666,0.017337335,0.10089338,0.038747203,0.00063713687,0.000108600645,0.0005373047,0.00013885413,0.1619336],"genre_scores_gemma":[0.9943605,0.0016882528,0.0019460194,0.00019969164,0.00018939523,0.000017687811,0.00004754174,0.000005006635,0.0015460177],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990114,0.00062586233,0.00004072138,0.00008512753,0.00014021658,0.000096669704],"domain_scores_gemma":[0.973735,0.020417426,0.00304718,0.00079414283,0.0010323738,0.0009739209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003706911,0.0005332487,0.00068345905,0.0013665388,0.00076461653,0.005834128,0.0006239762,0.00204131,0.007690743],"category_scores_gemma":[0.032137454,0.0002945668,0.00039939277,0.0016930108,0.0033635632,0.006957662,0.0010541094,0.0021386254,0.00032790334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039592996,0.00019484277,0.015437223,0.00015075851,0.00008455818,0.00017327874,0.00073428126,0.011881219,0.00016092975,0.9255443,0.0033881548,0.04185453],"study_design_scores_gemma":[0.000026290914,0.000033527936,0.0036128664,0.000030519528,0.000021584965,0.00006808668,0.00028617217,0.0104199005,0.000026341988,0.98467445,0.00078157487,0.000018620112],"about_ca_topic_score_codex":0.0021802979,"about_ca_topic_score_gemma":0.0018079903,"teacher_disagreement_score":0.007690743,"about_ca_system_score_codex":0.0012328512,"about_ca_system_score_gemma":0.0008818692,"threshold_uncertainty_score":0.025728166},"labels":[],"label_agreement":null},{"id":"W2110377242","doi":"10.2139/ssrn.1653083","title":"Size Anomalies in U.S. Bank Stock Returns","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Stock (firearms); Financial system; Business; Economics; Monetary economics; Financial economics; Geography","score_opus":0.011074459800197908,"score_gpt":0.20470640451465422,"score_spread":0.1936319447144563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110377242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956002,0.00019519821,0.00017948696,0.00063218264,0.00003171392,0.0000024397145,0.0014715208,0.00006377548,0.0018234635],"genre_scores_gemma":[0.99825996,0.000095291856,0.00004728757,0.000056898545,0.000030902767,0.0000015406212,0.0009980922,0.000008969886,0.0005010024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998056,0.000029094886,0.000022020968,0.000041479747,0.00006782891,0.000033898337],"domain_scores_gemma":[0.99642074,0.000881783,0.0015658938,0.00022871024,0.0006853963,0.00021751292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047668288,0.00015423626,0.00017089983,0.0009850074,0.00015263553,0.0007055188,0.00019404416,0.00052620564,0.0021451225],"category_scores_gemma":[0.005169992,0.00013841542,0.0001649457,0.0014031036,0.0002186926,0.0006446495,0.00040550806,0.00057422876,0.0009041723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028428895,0.00006747613,0.96520454,0.000019902849,0.00006480656,0.00016870056,0.0002095206,0.0026211415,0.0017216995,0.0012046911,0.010569756,0.017863462],"study_design_scores_gemma":[0.000004750201,0.000021215958,0.9946268,0.0000069181347,0.000012701132,0.000057487,0.00009173264,0.0036364675,0.00038079932,0.00036429547,0.00079112884,0.000005627301],"about_ca_topic_score_codex":0.019097064,"about_ca_topic_score_gemma":0.029957496,"teacher_disagreement_score":0.019097064,"about_ca_system_score_codex":0.0006150069,"about_ca_system_score_gemma":0.00026928933,"threshold_uncertainty_score":0.037971795},"labels":[],"label_agreement":null},{"id":"W2110647294","doi":"10.1111/0022-1082.00387","title":"Upstairs Market for Principal and Agency Trades: Analysis of Adverse Information and Price Effects","year":2001,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Smiths Detection (Canada); Western University; Wilfrid Laurier University","funders":"","keywords":"Market liquidity; Adverse selection; Intermediation; Agency (philosophy); Order (exchange); Limit (mathematics); Quarter (Canadian coin); Business; Economics; Monetary economics; Finance; Mathematics; Geography","score_opus":0.01453370871738786,"score_gpt":0.21237912033593792,"score_spread":0.19784541161855007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110647294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98397684,0.00028932377,0.0051978747,0.00030815162,0.000016242868,0.00004916471,0.00018884415,0.000092543036,0.009881053],"genre_scores_gemma":[0.9983072,0.00007860186,0.00029176907,0.000023610868,0.000032736833,0.000007410292,0.000071098344,0.0000061947967,0.001181365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987909,0.00037548481,0.00005582462,0.00013857197,0.00030765156,0.00033157124],"domain_scores_gemma":[0.9612601,0.022801582,0.009915977,0.002246961,0.0015761353,0.0021993062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036121497,0.00038252666,0.0011047613,0.0013913991,0.0008409659,0.0038382276,0.00076836505,0.0010500277,0.01613036],"category_scores_gemma":[0.019456306,0.0003920115,0.0011114633,0.00093284,0.0017691213,0.0031857071,0.0010458077,0.0024169465,0.00072541623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0097185075,0.0033920193,0.39842707,0.00042513554,0.0007801588,0.004818457,0.0010354788,0.21722567,0.01186364,0.25262612,0.008642145,0.091045626],"study_design_scores_gemma":[0.000662034,0.0018239698,0.24068709,0.00004012756,0.0005557045,0.0009370836,0.0009651358,0.63461405,0.005027914,0.11114968,0.0033306726,0.0002065514],"about_ca_topic_score_codex":0.0039155004,"about_ca_topic_score_gemma":0.0018304896,"teacher_disagreement_score":0.01613036,"about_ca_system_score_codex":0.0012388935,"about_ca_system_score_gemma":0.00074377906,"threshold_uncertainty_score":0.053961396},"labels":[],"label_agreement":null},{"id":"W2110853081","doi":"10.5539/ijef.v4n12p15","title":"The Role of the S&amp;P 500 Index Constituents in Tracking the U.S. Equity Market","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"University of Lethbridge","keywords":"Equity (law); Index (typography); Economics; Financial economics; Business; Monetary economics; Computer science; Political science","score_opus":0.032738718072612465,"score_gpt":0.2471357364971872,"score_spread":0.21439701842457473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110853081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98919594,0.00021177254,0.0009485616,0.0004640047,0.000017451468,0.000018108622,0.00014685265,0.000026988073,0.008970406],"genre_scores_gemma":[0.998395,0.0000563334,0.0005940544,0.00004983315,0.000015088984,0.0000042171832,0.00012954896,0.000008061421,0.0007477803],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99901175,0.00031129402,0.000065814864,0.00017551686,0.0002857897,0.00014974459],"domain_scores_gemma":[0.98168534,0.005970541,0.007392358,0.0007839245,0.0028949236,0.0012728901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035930986,0.00026642223,0.00034508572,0.001239741,0.00075460266,0.0037993651,0.00050377095,0.0007164277,0.0013504649],"category_scores_gemma":[0.02490128,0.00020328503,0.00020705682,0.0013024539,0.00044135324,0.0024814468,0.0009377679,0.000787499,0.0005336824],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019499849,0.00012148144,0.960761,0.00001774321,0.00007719937,0.000099803525,0.00042254533,0.0055308538,0.0018538137,0.0034156556,0.0016234331,0.025881473],"study_design_scores_gemma":[0.00001323857,0.00020904055,0.9319533,0.000028244192,0.0001110314,0.000077608194,0.001454406,0.055828873,0.003993044,0.0020075215,0.0042904015,0.000033365784],"about_ca_topic_score_codex":0.025603972,"about_ca_topic_score_gemma":0.030844469,"teacher_disagreement_score":0.025603972,"about_ca_system_score_codex":0.0011857,"about_ca_system_score_gemma":0.0009705256,"threshold_uncertainty_score":0.050909877},"labels":[],"label_agreement":null},{"id":"W2110881563","doi":"10.2469/dig.v39.n2.31","title":"Estimating Operational Risk for Hedge Funds: The ω-Score","year":2009,"lang":"en","type":"article","venue":"CFA Digest","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Stephen's University","funders":"","keywords":"Hedge fund; Leverage (statistics); Volatility (finance); Business; Operational risk; Actuarial science; Finance; Econometrics; Economics; Risk management; Statistics; Mathematics","score_opus":0.0441743466720914,"score_gpt":0.2359375176487626,"score_spread":0.19176317097667123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110881563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8556332,0.00028438805,0.13875422,0.00033441835,0.000021499054,0.000093548704,0.0009272617,0.0001738857,0.003777571],"genre_scores_gemma":[0.9873352,0.000080258826,0.011671622,0.000019952447,0.000018471785,0.000030409201,0.00056098367,0.00001080106,0.0002722256],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99453026,0.0025595948,0.0004951681,0.0005922127,0.0014491173,0.00037360252],"domain_scores_gemma":[0.96141124,0.025206717,0.006946029,0.0031198969,0.002414682,0.0009014596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010212009,0.0008981905,0.00095633534,0.005880812,0.0003524549,0.0031865158,0.00095926685,0.0011403445,0.0010522968],"category_scores_gemma":[0.062327076,0.0003083857,0.0010340613,0.0038384702,0.0010572755,0.0031259316,0.0026156737,0.0011647525,0.00037888903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026511066,0.00017136184,0.7238564,0.00007339663,0.0005763814,0.00015542778,0.00046934592,0.1624837,0.00065135636,0.034106873,0.0017856723,0.075405024],"study_design_scores_gemma":[0.000041484247,0.00044046383,0.1294021,0.00005993242,0.00007640228,0.00020344663,0.00060788385,0.80035174,0.0010492543,0.06591436,0.0017302373,0.00012281616],"about_ca_topic_score_codex":0.0027845243,"about_ca_topic_score_gemma":0.0014192659,"teacher_disagreement_score":0.010212009,"about_ca_system_score_codex":0.0011250982,"about_ca_system_score_gemma":0.00091169076,"threshold_uncertainty_score":0.054006875},"labels":[],"label_agreement":null},{"id":"W2111639678","doi":"10.3905/jai.2012.15.2.054","title":"What Drives the Tracking Error of Hedge Fund Clones?","year":2012,"lang":"en","type":"article","venue":"The Journal of Alternative Investments","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Hedge fund; Returns-based style analysis; Alternative beta; Fund of funds; Open-end fund; Business; Performance fee; Equity (law); Economics; Market liquidity; Financial economics; Finance; Institutional investor; Fund administration; Corporate governance","score_opus":0.12201907705949394,"score_gpt":0.29786818523278014,"score_spread":0.1758491081732862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111639678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97742623,0.0015922183,0.013643729,0.0015181885,0.000108983615,0.00004321051,0.00031363504,0.00011723789,0.0052365838],"genre_scores_gemma":[0.9969728,0.00021084344,0.0018329003,0.00012612726,0.000054247692,0.000011456905,0.00013853677,0.000025596879,0.0006275496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955445,0.0013155348,0.00049891375,0.0011764998,0.0011357948,0.000328837],"domain_scores_gemma":[0.89402574,0.05464097,0.03455967,0.008208728,0.0076063764,0.0009584645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011476487,0.00031764503,0.0005647751,0.0015076946,0.00053492683,0.0030893555,0.00096268795,0.001551997,0.001492806],"category_scores_gemma":[0.11673169,0.0003016887,0.00035333014,0.0018956249,0.0011559998,0.0030507674,0.0012721028,0.00082074036,0.00053196657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022733584,0.00005695381,0.8917803,0.00008599187,0.00019148327,0.00027525536,0.0020593794,0.0050127725,0.0017222717,0.0050505106,0.0022121577,0.091325626],"study_design_scores_gemma":[0.000034837773,0.00020588412,0.9310359,0.00019219285,0.0001634592,0.00089191884,0.0025086235,0.038096037,0.0073059155,0.013655452,0.00581206,0.00009757747],"about_ca_topic_score_codex":0.006203091,"about_ca_topic_score_gemma":0.0035045955,"teacher_disagreement_score":0.011476487,"about_ca_system_score_codex":0.0011732348,"about_ca_system_score_gemma":0.0007038467,"threshold_uncertainty_score":0.060694218},"labels":[],"label_agreement":null},{"id":"W2111682911","doi":"10.2139/ssrn.2050106","title":"Average Variance, Average Correlation and Currency Returns","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Econometrics; Statistics; Mathematics; Variance (accounting); Correlation; Currency; Economics; Monetary economics; Accounting","score_opus":0.01406165637529591,"score_gpt":0.20509127452913806,"score_spread":0.19102961815384215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111682911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9439212,0.0054151197,0.037428536,0.0017365894,0.00011536169,0.000010706982,0.00028581716,0.000103689716,0.010982922],"genre_scores_gemma":[0.9956318,0.00086616597,0.0013513712,0.00004660703,0.00016243347,0.0000052679857,0.00013399821,0.000024377,0.0017779538],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991673,0.00035612594,0.00005941475,0.00017825335,0.00013612706,0.00010277771],"domain_scores_gemma":[0.95910865,0.032032516,0.0050158626,0.0016516285,0.001353723,0.0008376306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038245653,0.0003851536,0.0007966479,0.0014452077,0.0003633453,0.0038684336,0.00054692826,0.0013834198,0.0037857057],"category_scores_gemma":[0.05072091,0.0003920352,0.00046572732,0.0026254447,0.0017310344,0.0053469394,0.0009616411,0.0012346784,0.00042354164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011692693,0.00019006593,0.37797064,0.00027673267,0.00079896103,0.0012960085,0.0007439952,0.114037625,0.0022941628,0.42548868,0.005855836,0.06987808],"study_design_scores_gemma":[0.00006739537,0.00020118391,0.23996113,0.00007036378,0.0002121872,0.0011763398,0.00042590612,0.15107661,0.0007106747,0.6037424,0.00224321,0.000112558686],"about_ca_topic_score_codex":0.0022506006,"about_ca_topic_score_gemma":0.001610684,"teacher_disagreement_score":0.0038684336,"about_ca_system_score_codex":0.0006206485,"about_ca_system_score_gemma":0.00054299383,"threshold_uncertainty_score":0.020226479},"labels":[],"label_agreement":null},{"id":"W2112163574","doi":"10.2139/ssrn.1772821","title":"Asymmetric Attention and Stock Returns","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Unobservable; Information asymmetry; Stock (firearms); Portfolio; Economics; Basis point; Financial economics; Aggregate (composite); Econometrics; Private information retrieval; Microeconomics; Finance; Bond; Geography; Statistics; Mathematics","score_opus":0.028375200276894805,"score_gpt":0.20129667361607032,"score_spread":0.1729214733391755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112163574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834109,0.0013204407,0.0018471926,0.0020812333,0.000042999658,0.0000063014104,0.000064975306,0.000017569913,0.011208358],"genre_scores_gemma":[0.99800175,0.00027346873,0.00008419626,0.00009695211,0.00007896966,0.000001955474,0.000026489464,0.0000031951674,0.0014330157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972504,0.00008757908,0.000018849523,0.000045709316,0.00006546915,0.00005737193],"domain_scores_gemma":[0.9889903,0.0072660944,0.002222668,0.0005005502,0.0004103613,0.00060992234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013481509,0.00018278755,0.00041252456,0.0007185949,0.0002802059,0.0019922298,0.00035027426,0.0012103515,0.007398748],"category_scores_gemma":[0.015944062,0.0002584151,0.00019645406,0.00063184265,0.0006278118,0.0021539715,0.00068255427,0.0012046496,0.0005655292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042120907,0.0019154696,0.4699945,0.0002626012,0.00085305003,0.0029391102,0.0019140407,0.02679065,0.016081305,0.25750563,0.009554556,0.20797701],"study_design_scores_gemma":[0.00021439776,0.00030304817,0.5364174,0.000037238133,0.00027076193,0.00091275683,0.00088694546,0.058359448,0.0013079097,0.39857966,0.002650143,0.000060416944],"about_ca_topic_score_codex":0.001709513,"about_ca_topic_score_gemma":0.0014722814,"teacher_disagreement_score":0.007398748,"about_ca_system_score_codex":0.00070299365,"about_ca_system_score_gemma":0.00023538165,"threshold_uncertainty_score":0.024751306},"labels":[],"label_agreement":null},{"id":"W2112195531","doi":"10.2307/2676221","title":"Trade Size and Information-Motivated Trading in the Options and Stock Markets","year":2001,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Stock (firearms); Business; Financial economics; High-frequency trading; Algorithmic trading; Economics; Geography","score_opus":0.031722144537801325,"score_gpt":0.24716769609485048,"score_spread":0.21544555155704914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112195531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947265,0.00014002867,0.0025774934,0.00014139852,0.0000028015709,0.0000055057226,0.000026349857,0.00001014912,0.0023698593],"genre_scores_gemma":[0.9995952,0.000035504803,0.00017380623,0.000008446797,0.0000111023965,0.0000019809202,0.000015830708,0.000001383111,0.00015686368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946254,0.00020834379,0.000039826373,0.00007049581,0.00012530806,0.00009351057],"domain_scores_gemma":[0.94292367,0.041107964,0.011951799,0.0018488547,0.00068040215,0.0014873686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020753439,0.0002203938,0.0003082302,0.0007175157,0.00026306044,0.0011961357,0.0002937927,0.00057740504,0.003691499],"category_scores_gemma":[0.02531691,0.00016660686,0.00028886658,0.00046188073,0.0011898096,0.0030656792,0.0007014404,0.00092829636,0.00020484453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025188283,0.0010055178,0.79718333,0.00013205106,0.00024383917,0.0020727222,0.00096034695,0.031733535,0.01997642,0.082317926,0.00067307224,0.061182316],"study_design_scores_gemma":[0.00011622818,0.0005144029,0.7720981,0.000034603607,0.00009162457,0.0013752149,0.00046942674,0.09805786,0.0058914362,0.12050387,0.0007739595,0.00007331399],"about_ca_topic_score_codex":0.0005012077,"about_ca_topic_score_gemma":0.00056475867,"teacher_disagreement_score":0.003691499,"about_ca_system_score_codex":0.00029320645,"about_ca_system_score_gemma":0.0002107952,"threshold_uncertainty_score":0.012349308},"labels":[],"label_agreement":null},{"id":"W2112261373","doi":"10.1017/s0022109000004129","title":"Optimal Portfolio Choice with Parameter Uncertainty","year":2007,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":723,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Portfolio; Sample (material); Tangent; Econometrics; Asset (computer security); Portfolio optimization; Covariance matrix; Modern portfolio theory; Economics; Population; Separation property; Replicating portfolio; Mathematics; Computer science; Statistics; Financial economics; Physics","score_opus":0.032793610640380694,"score_gpt":0.2636494015134089,"score_spread":0.23085579087302818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112261373","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31594512,0.0006495888,0.67506474,0.0014282105,0.00004173789,0.00010415647,0.00013141685,0.0002659764,0.0063690045],"genre_scores_gemma":[0.96078557,0.00012654833,0.037249982,0.00009716724,0.000022169006,0.0000596349,0.00007632703,0.00003917896,0.001543341],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99765754,0.0014341482,0.00010261194,0.0002881844,0.00034277912,0.00017471217],"domain_scores_gemma":[0.98744166,0.010366874,0.000775038,0.0006005722,0.0005348137,0.0002811878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006533484,0.0007674456,0.0016070557,0.00095415337,0.00029083883,0.0023705414,0.0009834226,0.0015890434,0.0027949787],"category_scores_gemma":[0.0361029,0.00083445036,0.0005253577,0.0006175728,0.0012274606,0.004327465,0.0012103659,0.0012291523,0.00027561607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024059856,0.000081059305,0.002848978,0.000061451974,0.00010555201,0.00017582651,0.00008084006,0.89486754,0.0007658167,0.07529979,0.000706696,0.024765914],"study_design_scores_gemma":[0.000028507997,0.000037979808,0.0005894091,0.000016617676,0.00001441375,0.00003394425,0.000019992738,0.9478321,0.00045537777,0.050736036,0.0002204288,0.000015241081],"about_ca_topic_score_codex":0.0014380142,"about_ca_topic_score_gemma":0.00060429226,"teacher_disagreement_score":0.006533484,"about_ca_system_score_codex":0.0015755285,"about_ca_system_score_gemma":0.0008853568,"threshold_uncertainty_score":0.034552813},"labels":[],"label_agreement":null},{"id":"W2112281381","doi":"10.2139/ssrn.2210003","title":"The Low Risk Anomaly: A Decomposition into Micro and Macro Effects","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Macro; Anomaly (physics); Decomposition; Econometrics; Computer science; Economics; Physics; Chemistry","score_opus":0.0032570970419140816,"score_gpt":0.1859997405800775,"score_spread":0.18274264353816344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112281381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9503617,0.00066117186,0.037739348,0.0019245098,0.000054240154,0.000039019684,0.00055251457,0.00042323652,0.008244264],"genre_scores_gemma":[0.9975085,0.00010884794,0.0012911345,0.00005585651,0.000083188184,0.000004321275,0.00011805082,0.000039987357,0.0007899915],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994986,0.000121937264,0.000034571465,0.000095302246,0.0001612039,0.00008835865],"domain_scores_gemma":[0.99431336,0.0030770001,0.0010727737,0.0005867805,0.0004051139,0.0005449533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014109738,0.0002906387,0.0006982753,0.0016238481,0.00017385668,0.0016098215,0.00043133824,0.0005939665,0.003712318],"category_scores_gemma":[0.008171832,0.00024461732,0.0004843054,0.0009852523,0.0008470555,0.0013751469,0.0009846748,0.0014620967,0.0004312289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010018481,0.00046590218,0.7223661,0.00014652252,0.00048308997,0.0013338478,0.00050496333,0.036603846,0.022366451,0.08391014,0.0049790516,0.12583818],"study_design_scores_gemma":[0.00006167209,0.00020535497,0.7926048,0.000029190207,0.00022193455,0.0006182877,0.00026118202,0.12711889,0.002508656,0.07428622,0.0020200347,0.00006383205],"about_ca_topic_score_codex":0.0017996979,"about_ca_topic_score_gemma":0.0015246796,"teacher_disagreement_score":0.003712318,"about_ca_system_score_codex":0.0004866013,"about_ca_system_score_gemma":0.0003527583,"threshold_uncertainty_score":0.012418985},"labels":[],"label_agreement":null},{"id":"W2113165582","doi":"10.2139/ssrn.1364390","title":"Price Inflation and Wealth Transfer During the 2008 SEC Short-Sale Ban","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Monetary economics; Economics; Inflation (cosmology); Valuation (finance); Financial economics; Business; Finance","score_opus":0.010185952678622831,"score_gpt":0.19751802605553512,"score_spread":0.1873320733769123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113165582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912143,0.0001696205,0.00006443295,0.001501284,0.000053853353,0.000007438077,0.0002450503,0.000009346804,0.0067346846],"genre_scores_gemma":[0.99723095,0.000056926965,0.00001768114,0.00015332349,0.000066538814,0.000004076957,0.00028926472,0.0000042212578,0.0021770902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952185,0.00006584935,0.000039825543,0.00005488126,0.000117308016,0.00020021007],"domain_scores_gemma":[0.994402,0.001392619,0.0026384217,0.00018065734,0.0006223933,0.0007639748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012879678,0.00012671154,0.00047136733,0.0005127327,0.0006888469,0.0021067576,0.00033235797,0.0019219018,0.0048737475],"category_scores_gemma":[0.009485825,0.00017276352,0.00020688967,0.00055546773,0.0006367635,0.0012578898,0.001191915,0.0029430534,0.0010674649],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005187616,0.0016851877,0.91331536,0.00006787499,0.0001440029,0.0013085537,0.0025118038,0.0030504595,0.0021372272,0.013990558,0.012072046,0.04452939],"study_design_scores_gemma":[0.000043178705,0.00023754494,0.9915787,0.000015447346,0.00003576808,0.00010675474,0.0010573203,0.0017138219,0.00035001064,0.0020537453,0.0027895581,0.000018158544],"about_ca_topic_score_codex":0.009423404,"about_ca_topic_score_gemma":0.020232735,"teacher_disagreement_score":0.009423404,"about_ca_system_score_codex":0.0011853939,"about_ca_system_score_gemma":0.00059461227,"threshold_uncertainty_score":0.018737137},"labels":[],"label_agreement":null},{"id":"W2113359251","doi":"10.1016/s0378-4266(00)00086-8","title":"Price volatility, welfare, and trading hours in asset markets","year":2001,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Volatility (finance); Welfare; Asset (computer security); Monetary economics; Consumption (sociology); Financial economics; Econometrics","score_opus":0.024916188608082496,"score_gpt":0.2246082149654014,"score_spread":0.1996920263573189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113359251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948025,0.00039998075,0.0022350405,0.0008964695,0.000011586526,0.0000042146303,0.000094287185,0.000010622341,0.0015452895],"genre_scores_gemma":[0.99934787,0.00014854084,0.00011249478,0.000032831704,0.00002134288,0.0000027635772,0.000049785656,0.0000024157878,0.0002819662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972504,0.00013853237,0.000011776453,0.000022808705,0.000027620548,0.000074106574],"domain_scores_gemma":[0.99070287,0.006951614,0.0013393441,0.00028244758,0.0001670065,0.0005566613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016384069,0.00017640101,0.00042635703,0.0005492498,0.0003137636,0.0018045907,0.0002333113,0.0008805081,0.0022605655],"category_scores_gemma":[0.009503404,0.00022262917,0.00031850048,0.0005215329,0.0008912995,0.0015526423,0.00056530937,0.00100232,0.00017021403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034346764,0.0018205723,0.7220453,0.00013405438,0.0012431077,0.0010918045,0.0009165577,0.063507125,0.006605216,0.118626475,0.0047211475,0.075854],"study_design_scores_gemma":[0.00021032833,0.00048843335,0.42332375,0.000032697975,0.00023543554,0.00063214876,0.0010672924,0.17380394,0.001039254,0.39807978,0.0010308636,0.0000560307],"about_ca_topic_score_codex":0.0007172153,"about_ca_topic_score_gemma":0.0008015121,"teacher_disagreement_score":0.0022605655,"about_ca_system_score_codex":0.00034985994,"about_ca_system_score_gemma":0.00027574852,"threshold_uncertainty_score":0.008664846},"labels":[],"label_agreement":null},{"id":"W2113516281","doi":"10.2139/ssrn.1510104","title":"Optimal Execution Strategies in Limit Order Books with General Shape Functions","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Limit (mathematics); Order (exchange); Computer science; Mathematical optimization; Mathematics; Mathematical economics; Economics; Mathematical analysis","score_opus":0.013457793611240922,"score_gpt":0.2037793749313264,"score_spread":0.19032158132008548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113516281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57061344,0.0007239133,0.4113813,0.0008659536,0.000042683318,0.00012786381,0.00018865408,0.00034557158,0.015710562],"genre_scores_gemma":[0.9406359,0.00070715335,0.041920293,0.00009731138,0.000047709756,0.00012607905,0.00023388129,0.0001875218,0.016044179],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992318,0.00030573978,0.000056021137,0.000098808385,0.00013355214,0.0001740759],"domain_scores_gemma":[0.9881015,0.008732942,0.0010518428,0.0005487356,0.0006648346,0.00090014504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002091344,0.0007822937,0.0013206921,0.0011851348,0.00074726273,0.0042728917,0.0021820622,0.0022622922,0.0049142074],"category_scores_gemma":[0.016142827,0.0011878783,0.00080399815,0.001463889,0.0015484403,0.0061792703,0.0013277909,0.0016005969,0.0007283388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051648443,0.00019964749,0.002397468,0.0001383663,0.00004930837,0.00033585343,0.0003663101,0.39632866,0.002676591,0.56311506,0.0021315278,0.031744774],"study_design_scores_gemma":[0.000051728966,0.00007164282,0.0005189408,0.000024652363,0.000019556453,0.000057695284,0.00009339709,0.6874151,0.0008083111,0.31045967,0.00045479098,0.000024426996],"about_ca_topic_score_codex":0.0018654825,"about_ca_topic_score_gemma":0.0017417172,"teacher_disagreement_score":0.0049142074,"about_ca_system_score_codex":0.0015830396,"about_ca_system_score_gemma":0.0014048184,"threshold_uncertainty_score":0.016439617},"labels":[],"label_agreement":null},{"id":"W2113595059","doi":"","title":"Finance Journal Rankings & Tiers: An Active Scholar Assessment Methodology","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University; University of Windsor","funders":"","keywords":"Respondent; Promotion (chess); Ranking (information retrieval); Journal ranking; Business; Public relations; Political science; Library science; Computer science; Citation","score_opus":0.0355329055238967,"score_gpt":0.28404937377422085,"score_spread":0.24851646825032414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113595059","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60890603,0.0004739684,0.3238707,0.0014048109,0.00030457872,0.0076506226,0.010072328,0.0010428767,0.04627419],"genre_scores_gemma":[0.7826016,0.0002334659,0.20079926,0.00021932718,0.00031373455,0.0048888577,0.004375762,0.00011470839,0.0064533167],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9571072,0.022904523,0.0035380607,0.0024954416,0.012669829,0.0012850028],"domain_scores_gemma":[0.8965273,0.05731613,0.015635435,0.00773494,0.02040803,0.002378242],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.028950145,0.00073994556,0.00096923095,0.015069881,0.0018086669,0.0047551254,0.0018853327,0.0006628099,0.00501172],"category_scores_gemma":[0.081173755,0.0005657244,0.0012903602,0.014709134,0.0012687601,0.0031560622,0.0027490766,0.001016383,0.0015249134],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006882274,0.0012426721,0.5415815,0.0006756684,0.00068922545,0.00013080567,0.005969057,0.0061065513,0.0020964635,0.03530553,0.013421972,0.39209235],"study_design_scores_gemma":[0.0004147223,0.0022431042,0.7032931,0.00029029613,0.0005387939,0.00044240546,0.011976128,0.10158219,0.007840449,0.08675621,0.08420009,0.0004225172],"about_ca_topic_score_codex":0.0032425926,"about_ca_topic_score_gemma":0.0053858957,"teacher_disagreement_score":0.9849301,"about_ca_system_score_codex":0.0015728597,"about_ca_system_score_gemma":0.0037382995,"threshold_uncertainty_score":0.15310478},"labels":[],"label_agreement":null},{"id":"W2114494898","doi":"10.1111/1540-5982.00152","title":"Canadian consumption and portfolio shares","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Economics; Portfolio; Consumption (sociology); Financial economics; Welfare economics; Humanities; Sociology","score_opus":0.17000472197615968,"score_gpt":0.17140571272531127,"score_spread":0.0014009907491515927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114494898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69964576,0.0014590109,0.0025142098,0.0014403285,0.00003846776,0.00009330099,0.05554,0.00013883575,0.23913002],"genre_scores_gemma":[0.9503926,0.0008763357,0.0011661272,0.00009810475,0.0000110534165,0.000025697438,0.012289225,0.000027928458,0.03511296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992999,0.000029881543,0.000018886192,0.00009144188,0.00044008577,0.00011978006],"domain_scores_gemma":[0.9983791,0.00013284141,0.00025745426,0.00012450837,0.0009519192,0.00015423488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037776376,0.0003592058,0.00022291527,0.0025023252,0.0012205836,0.0021823612,0.00044519207,0.00028162377,0.013042299],"category_scores_gemma":[0.0032522085,0.0001314182,0.00031967837,0.0076191337,0.00047494416,0.0006683198,0.0006275851,0.00029565365,0.00074569456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022337813,0.00006297035,0.6896051,0.00020313394,0.0002613942,0.00029132538,0.0042138346,0.009809492,0.0017655848,0.09504323,0.044551536,0.15396903],"study_design_scores_gemma":[0.000010775958,0.000022075432,0.8525059,0.000079926715,0.00006280338,0.00013250325,0.0019638836,0.0045324736,0.0011854832,0.0038699612,0.13556473,0.00006945233],"about_ca_topic_score_codex":0.97266,"about_ca_topic_score_gemma":0.9785557,"teacher_disagreement_score":0.027339995,"about_ca_system_score_codex":0.024968052,"about_ca_system_score_gemma":0.00950775,"threshold_uncertainty_score":0.18115675},"labels":[],"label_agreement":null},{"id":"W2115353812","doi":"10.1111/j.1540-6261.2010.01629.x","title":"Asset Pricing with Garbage","year":2011,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Equity premium puzzle; Garbage; Capital asset pricing model; Economics; Equity (law); Econometrics; Consumption (sociology); Stock (firearms); Measure (data warehouse); Microeconomics; Financial economics; Computer science; Database; Engineering","score_opus":0.04481722806959961,"score_gpt":0.19405472893434575,"score_spread":0.14923750086474613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115353812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84983176,0.0036278334,0.11675952,0.0031298015,0.00035562195,0.000045385685,0.0007929937,0.00028930255,0.02516767],"genre_scores_gemma":[0.9940388,0.0004683594,0.0017507724,0.00008394139,0.0001326693,0.0000130298995,0.00019945843,0.000028208133,0.003284671],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993073,0.00022628343,0.00003750641,0.00017610287,0.00016232904,0.00009046983],"domain_scores_gemma":[0.99592507,0.0015841492,0.0012775143,0.00056929543,0.0003483412,0.00029574824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014535146,0.00066420354,0.0007759909,0.0009031869,0.00034455382,0.0030644846,0.0008655644,0.0010137863,0.006653767],"category_scores_gemma":[0.012000214,0.00034492766,0.00083832606,0.0017111396,0.0014909812,0.004823963,0.0012625987,0.0014597937,0.00047277668],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033570247,0.00011630857,0.08869036,0.00016630336,0.00032837564,0.00086410897,0.0006084604,0.2012821,0.002213443,0.6405993,0.0054709497,0.05932456],"study_design_scores_gemma":[0.000032695272,0.00009547305,0.031241342,0.00006385596,0.000078659534,0.00026116328,0.00026339467,0.3586219,0.0010681665,0.6011966,0.00700795,0.00006878613],"about_ca_topic_score_codex":0.003527826,"about_ca_topic_score_gemma":0.0022629898,"teacher_disagreement_score":0.006653767,"about_ca_system_score_codex":0.0011317311,"about_ca_system_score_gemma":0.00052781665,"threshold_uncertainty_score":0.022259057},"labels":[],"label_agreement":null},{"id":"W2115451547","doi":"10.1007/s10551-006-9099-0","title":"The Ethical Mutual Fund Performance Debate: New Evidence from Canada","year":2006,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":434,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universiteit Maastricht","keywords":"Business ethics; Quality of Life Research; Mutual fund; Sample (material); Order (exchange); Investment (military); Actuarial science; Accounting; Variation (astronomy); Economics; Positive economics; Business; Political science; Finance; Law; Management; Medicine","score_opus":0.10775743096980941,"score_gpt":0.2523384341446388,"score_spread":0.1445810031748294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115451547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92093146,0.011968821,0.00032897797,0.016272714,0.00008285414,0.000093288414,0.004316088,0.00001911333,0.04598671],"genre_scores_gemma":[0.99010205,0.004403864,0.00027161863,0.0012658675,0.000034516397,0.000019837305,0.0010121306,0.000014476624,0.0028756426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99060714,0.0007522967,0.00041892348,0.00067871885,0.0055925488,0.0019501912],"domain_scores_gemma":[0.9433447,0.013454978,0.009698293,0.001815126,0.026767379,0.0049195946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051153232,0.0002819577,0.0008467214,0.0042735655,0.007384634,0.0067333393,0.0018434532,0.0013534526,0.003528589],"category_scores_gemma":[0.03649246,0.0002996212,0.00038758307,0.0112188505,0.0034871686,0.001544874,0.0032644519,0.0016405985,0.00022363779],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014942246,0.00022886372,0.7283684,0.0014036761,0.0005132448,0.0016108742,0.05830879,0.00089303014,0.000529066,0.045637336,0.049435817,0.11157664],"study_design_scores_gemma":[0.00013013945,0.000058414997,0.8708261,0.0011415955,0.00036921844,0.00025776462,0.04083272,0.00074258336,0.000589329,0.0021753425,0.08272973,0.0001469682],"about_ca_topic_score_codex":0.9951669,"about_ca_topic_score_gemma":0.99729353,"teacher_disagreement_score":0.092910334,"about_ca_system_score_codex":0.092910334,"about_ca_system_score_gemma":0.13345627,"threshold_uncertainty_score":0.6741148},"labels":[],"label_agreement":null},{"id":"W2115727657","doi":"10.5430/afr.v3n2p145","title":"Talmud and Markowitz Diversification Strategies: Evidence from the Nigerian Stock Market","year":2014,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Stock exchange; Financial economics; Economics; Null hypothesis; Stock (firearms); Stock market; Business; Finance; Econometrics; Marketing","score_opus":0.08012017233533224,"score_gpt":0.28763125208337254,"score_spread":0.20751107974804028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115727657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950852,0.0014110865,0.0001393914,0.00014062395,0.0000051146894,0.000009703707,0.00004097951,8.2166684e-7,0.003167056],"genre_scores_gemma":[0.9988926,0.0007235677,0.00009068862,0.000022074944,0.00000722226,0.0000018943518,0.0000485984,4.875316e-7,0.00021275609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964106,0.000105166066,0.000047679892,0.000042553384,0.0001246157,0.000038939477],"domain_scores_gemma":[0.9930651,0.003589079,0.0022255036,0.0002814549,0.0005624656,0.00027635298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016858132,0.00022516651,0.00024609765,0.0012131464,0.0004919694,0.0008996204,0.00022807026,0.00039527434,0.0019260672],"category_scores_gemma":[0.007102304,0.00011024074,0.0001943871,0.0007845333,0.0007329998,0.0011785541,0.0004405964,0.00030795793,0.00022920078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011545836,0.00026068432,0.9351243,0.00022219586,0.00017437509,0.0012725766,0.0021908258,0.0009630776,0.0012705291,0.00631505,0.00054582173,0.050506074],"study_design_scores_gemma":[0.000082969615,0.0004918927,0.9822228,0.00017433797,0.00010934581,0.0010752848,0.0040055406,0.0036000838,0.0010238792,0.0030711617,0.0041157007,0.000027004604],"about_ca_topic_score_codex":0.0023000818,"about_ca_topic_score_gemma":0.00270323,"teacher_disagreement_score":0.0023000818,"about_ca_system_score_codex":0.0002810377,"about_ca_system_score_gemma":0.0002820314,"threshold_uncertainty_score":0.008915544},"labels":[],"label_agreement":null},{"id":"W2115962833","doi":"10.2139/ssrn.1649182","title":"Financial Reporting Opacity and Implied Volatility Smirks: Firm-Level Evidence","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Volatility (finance); Business; Finance; Economics; Accounting","score_opus":0.056733091984869206,"score_gpt":0.2552848631468265,"score_spread":0.19855177116195732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115962833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883663,0.0039036754,0.00048176033,0.0013532573,0.00005826941,0.000012603168,0.0013442034,0.000056640132,0.004423175],"genre_scores_gemma":[0.9980444,0.00071262853,0.00005188996,0.00007828235,0.00013297632,0.0000017810003,0.0006363815,0.0000066618463,0.0003348854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99767035,0.00048176202,0.0004400416,0.00043183033,0.00064611767,0.00032987152],"domain_scores_gemma":[0.79111207,0.08496333,0.10625815,0.009345355,0.004542025,0.0037790712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057574753,0.00047682849,0.0008231233,0.0022773687,0.00049515796,0.0045187906,0.0012956754,0.0016563643,0.008541648],"category_scores_gemma":[0.05303161,0.0004127672,0.0009384222,0.0035929214,0.0013014557,0.0025570858,0.0016493041,0.0022502784,0.0012119181],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004810352,0.00013877868,0.98748595,0.000073681185,0.00036448456,0.00012385561,0.00018853048,0.00040721538,0.00020467385,0.000742,0.000818804,0.008970947],"study_design_scores_gemma":[0.000041287432,0.00014845279,0.9949595,0.000051741314,0.0004282108,0.00013169835,0.00031084963,0.0014391181,0.00042537568,0.0010645351,0.0009737671,0.000025403964],"about_ca_topic_score_codex":0.0052294666,"about_ca_topic_score_gemma":0.0043078735,"teacher_disagreement_score":0.008541648,"about_ca_system_score_codex":0.00048034024,"about_ca_system_score_gemma":0.00037528615,"threshold_uncertainty_score":0.030448854},"labels":[],"label_agreement":null},{"id":"W2116156442","doi":"10.1016/j.jimonfin.2011.05.012","title":"Uninsurable Risk and Financial Market Puzzles","year":2011,"lang":"en","type":"article","venue":"Durham Research Online (Durham University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Ministry of Education, Culture, Sports, Science and Technology; British Academy; York University","keywords":"Stochastic discount factor; Economics; Equity premium puzzle; Risk premium; Consumption (sociology); Exchange rate; Currency; Financial market; Econometrics; Equity (law); Financial intermediary; Financial economics; Capital asset pricing model; Monetary economics; Finance","score_opus":0.10041380469227726,"score_gpt":0.24296735664100216,"score_spread":0.1425535519487249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116156442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7523847,0.011326629,0.023791136,0.103837654,0.000875826,0.000035353325,0.001057821,0.0004057988,0.10628505],"genre_scores_gemma":[0.9928889,0.0014205666,0.00063211,0.0007702049,0.0003374516,0.000009308678,0.00010586738,0.000028719214,0.00380691],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994368,0.00022938239,0.000039232596,0.000065299086,0.00013397836,0.00009530217],"domain_scores_gemma":[0.98163384,0.012748078,0.0028487034,0.0014879189,0.0006396686,0.00064181583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027928757,0.0002888027,0.0008418358,0.001136812,0.00078928925,0.0034174433,0.0008390457,0.0023860137,0.009220493],"category_scores_gemma":[0.045861863,0.0002944463,0.00033572168,0.0010879351,0.0021649925,0.0054644574,0.0016677276,0.0032632295,0.0005686594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033900526,0.000094298564,0.007919254,0.00011324962,0.00003919696,0.0006869405,0.0007750507,0.009900753,0.00029506674,0.93150926,0.019347362,0.028980637],"study_design_scores_gemma":[0.000041229712,0.000016002274,0.0042792917,0.000039657825,0.000013672272,0.00019119194,0.00033973812,0.018315261,0.0001051096,0.9717491,0.004887775,0.000021915861],"about_ca_topic_score_codex":0.0029345555,"about_ca_topic_score_gemma":0.0021219219,"teacher_disagreement_score":0.009220493,"about_ca_system_score_codex":0.0010986577,"about_ca_system_score_gemma":0.00061888265,"threshold_uncertainty_score":0.030845582},"labels":[],"label_agreement":null},{"id":"W2116174039","doi":"10.19030/jabr.v23i1.1405","title":"The Profitability Of Technical Trading Rules: A Combined Signal Approach","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Business Research (JABR)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Profitability index; Style (visual arts); Index (typography); Span (engineering); Font; Econometrics; Economics; Mathematics; Statistics; Computer science; Finance; Artificial intelligence; Art; Literature; Engineering","score_opus":0.13069054852752662,"score_gpt":0.2807236587032354,"score_spread":0.15003311017570878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116174039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8904174,0.0006377641,0.081602834,0.0009085114,0.00005131183,0.00014989173,0.00040339178,0.00045979428,0.025369177],"genre_scores_gemma":[0.9851885,0.000113038914,0.012183606,0.00008303288,0.000054841203,0.000034344353,0.00020399038,0.000037323196,0.0021013222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99538547,0.0015422144,0.00024084408,0.00053153856,0.002022593,0.00027736745],"domain_scores_gemma":[0.9630202,0.0292505,0.0028242865,0.0017217688,0.0026997156,0.00048350665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006680832,0.00077336613,0.0011722512,0.0031549823,0.0003993503,0.00468059,0.0015549377,0.0015446638,0.004782915],"category_scores_gemma":[0.034535352,0.00035872875,0.0009794128,0.0018921078,0.0009902546,0.0035568634,0.0015039908,0.0013249285,0.00074041635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041152993,0.0012066567,0.08812011,0.00026520525,0.0006185917,0.0010112668,0.00025138512,0.5373909,0.008981273,0.040487576,0.0024504152,0.31510133],"study_design_scores_gemma":[0.000055912824,0.0006798937,0.0108043235,0.000010897175,0.000110774665,0.00010163743,0.00011341654,0.97880906,0.001949807,0.0069500315,0.00037408638,0.000040252264],"about_ca_topic_score_codex":0.001648822,"about_ca_topic_score_gemma":0.0018996259,"teacher_disagreement_score":0.006680832,"about_ca_system_score_codex":0.0015104343,"about_ca_system_score_gemma":0.00083219446,"threshold_uncertainty_score":0.035332024},"labels":[],"label_agreement":null},{"id":"W2116344022","doi":"10.5539/ijef.v5n6p67","title":"Do Security Analysts Herd on Stock Recommendations and Does It Affect Returns?","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Herd behavior; Stock (firearms); Business; Financial economics; Stock market; Affect (linguistics); Herd; Security market; Economics; Monetary economics; Finance","score_opus":0.025517893191252305,"score_gpt":0.2490823495091574,"score_spread":0.22356445631790509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116344022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997775,0.00017603302,0.00044098223,0.00041213597,0.00001472681,0.0000058166315,0.000060622308,0.000008558966,0.0011060319],"genre_scores_gemma":[0.99918705,0.00009148946,0.0001384516,0.000067847475,0.000018300492,0.000002216387,0.00005553654,0.0000015868122,0.00043741276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994154,0.00016665508,0.000046761124,0.00013130551,0.00011465467,0.00012529797],"domain_scores_gemma":[0.9894399,0.004392149,0.0042842845,0.0005296456,0.00073991035,0.0006140862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018035045,0.00019936495,0.00034139186,0.0004905487,0.0002998504,0.0008757163,0.00023574663,0.0007250966,0.0018217788],"category_scores_gemma":[0.012632036,0.0001612208,0.0002529942,0.00041860252,0.0002821438,0.0010015658,0.00027651252,0.000581385,0.00039090932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106279644,0.000091913345,0.98024327,0.0000138140285,0.00013168303,0.000089341396,0.00045600993,0.00067017874,0.0006775592,0.00025628918,0.00051276246,0.016750969],"study_design_scores_gemma":[0.000012482608,0.0001593814,0.99010986,0.000012185242,0.00010454441,0.000074161304,0.0012468885,0.006587381,0.0004012997,0.00054624816,0.00073059567,0.000015002132],"about_ca_topic_score_codex":0.00820459,"about_ca_topic_score_gemma":0.013084139,"teacher_disagreement_score":0.00820459,"about_ca_system_score_codex":0.00039357974,"about_ca_system_score_gemma":0.0003026166,"threshold_uncertainty_score":0.016313672},"labels":[],"label_agreement":null},{"id":"W2116383223","doi":"10.7202/602188ar","title":"Anomalies de marché, indicateurs macro-économiques et rendement des titres des marchés émergents d’Asie","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Humanities; Political science; Mathematics; Philosophy","score_opus":0.07299721288142474,"score_gpt":0.2686810252699181,"score_spread":0.19568381238849336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116383223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99165654,0.00027106638,0.004020809,0.00020598079,0.000012828305,0.000020250875,0.000240852,0.000036306417,0.0035353724],"genre_scores_gemma":[0.99715304,0.00013131875,0.0010492674,0.00000971352,0.000008421404,0.000013014375,0.0001299667,0.0000072724956,0.0014979412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993449,0.00017644453,0.00004668382,0.000135233,0.00017975034,0.000116976604],"domain_scores_gemma":[0.9892151,0.006322775,0.0023956175,0.00073392387,0.00070010236,0.0006324904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016466696,0.00027671029,0.00047408268,0.0008158762,0.0003962302,0.002449276,0.00036099023,0.00040381364,0.0036418992],"category_scores_gemma":[0.010726031,0.00014598251,0.00050357095,0.0010654879,0.0007623255,0.0009943988,0.00089410186,0.00091038307,0.00027778192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014951085,0.00018433915,0.8647602,0.00020767377,0.00039893657,0.0006476936,0.0037897525,0.025350124,0.009632024,0.03125492,0.000838157,0.061440986],"study_design_scores_gemma":[0.000028503091,0.00031339427,0.9442508,0.000042051946,0.00011792882,0.0002526905,0.0028104712,0.018752044,0.0041762497,0.022849506,0.0063502695,0.000056105713],"about_ca_topic_score_codex":0.0070394925,"about_ca_topic_score_gemma":0.006108536,"teacher_disagreement_score":0.0070394925,"about_ca_system_score_codex":0.0012823597,"about_ca_system_score_gemma":0.00052406034,"threshold_uncertainty_score":0.013997018},"labels":[],"label_agreement":null},{"id":"W2116612050","doi":"10.1016/j.jet.2015.07.011","title":"Price distortions under coarse reasoning with frequent trade","year":2015,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics","score_opus":0.038630558345826314,"score_gpt":0.22417394370663493,"score_spread":0.1855433853608086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116612050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.805778,0.0005879305,0.16113976,0.0051279063,0.00018416422,0.00006437573,0.0003108072,0.00039821165,0.026408834],"genre_scores_gemma":[0.99177355,0.00009348293,0.006411271,0.000121809884,0.00012799689,0.000012295419,0.000059723552,0.00002948719,0.0013703783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955427,0.0014924703,0.00037987842,0.00079355564,0.0011893996,0.0006020144],"domain_scores_gemma":[0.8971427,0.07564842,0.0099800695,0.01323748,0.002407044,0.001584253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074553527,0.0005170967,0.0020908825,0.0013418199,0.0009938722,0.005043897,0.0019145365,0.0032155581,0.009206142],"category_scores_gemma":[0.088678084,0.0011627953,0.0009894661,0.0014636144,0.004891977,0.010844105,0.002613122,0.0045852326,0.00052540103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010530975,0.00022206403,0.005931737,0.0001384811,0.0001532019,0.0011146197,0.0005994157,0.057779968,0.0014597055,0.9052812,0.0022632005,0.024003305],"study_design_scores_gemma":[0.0000677775,0.000023691247,0.00096364785,0.000006311881,0.000018502144,0.00016220336,0.00008763192,0.065505676,0.00018209538,0.9327847,0.00018201047,0.000015724923],"about_ca_topic_score_codex":0.0021075415,"about_ca_topic_score_gemma":0.00121291,"teacher_disagreement_score":0.009206142,"about_ca_system_score_codex":0.0013374035,"about_ca_system_score_gemma":0.001119141,"threshold_uncertainty_score":0.039428115},"labels":[],"label_agreement":null},{"id":"W2116633449","doi":"10.2139/ssrn.1621044","title":"Are You Trading Predictably?","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Economics","score_opus":0.015305213681624288,"score_gpt":0.20060525621334435,"score_spread":0.18530004253172006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116633449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77697086,0.0070754276,0.0063625886,0.11722704,0.0036875918,0.000039819344,0.0029634521,0.00025807036,0.08541508],"genre_scores_gemma":[0.9838054,0.0016038086,0.00032902774,0.0037036422,0.0010635538,0.0000154375,0.00040112672,0.000024973371,0.0090528475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947757,0.00013681862,0.000038586164,0.000091726906,0.00013433902,0.00012089421],"domain_scores_gemma":[0.987294,0.006039133,0.0039649024,0.0006815596,0.00088162563,0.0011387315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014379635,0.00022265803,0.00041421698,0.00043417377,0.0005362772,0.002101354,0.00036761374,0.0017720938,0.018061051],"category_scores_gemma":[0.02197997,0.00014270646,0.00029598307,0.0004826933,0.0006337678,0.0033507706,0.0003735322,0.0021001825,0.004553392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016901171,0.00076971017,0.66648936,0.00019513171,0.00041521125,0.0011516456,0.0010615154,0.0021520334,0.0011092001,0.026336553,0.07610192,0.22252749],"study_design_scores_gemma":[0.00021547337,0.0011081299,0.6080791,0.0005432965,0.0007179001,0.0063630603,0.00593185,0.030070309,0.0041463645,0.23432118,0.10825188,0.00025157369],"about_ca_topic_score_codex":0.0008114746,"about_ca_topic_score_gemma":0.001036373,"teacher_disagreement_score":0.018061051,"about_ca_system_score_codex":0.0001971664,"about_ca_system_score_gemma":0.0002587087,"threshold_uncertainty_score":0.060420215},"labels":[],"label_agreement":null},{"id":"W2116888169","doi":"10.2139/ssrn.1620425","title":"Public Information Arrival: Price Discovery and Liquidity in Electronic Limit Order Markets","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Price discovery; Market liquidity; Limit (mathematics); Order (exchange); Business; Financial economics; Public information; Monetary economics; Economics; Computer science; Internet privacy; Finance; Mathematics","score_opus":0.03026605297165483,"score_gpt":0.1902119507000131,"score_spread":0.15994589772835827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116888169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8630292,0.0014533945,0.10355361,0.008157186,0.00024542844,0.00005927389,0.0003633186,0.0005826868,0.02255601],"genre_scores_gemma":[0.9945799,0.000266918,0.0016437311,0.00011539043,0.0001798754,0.000013486179,0.00005298671,0.000022776525,0.0031249642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998453,0.0005758912,0.00011099672,0.00021204459,0.0003595988,0.0002884373],"domain_scores_gemma":[0.9160283,0.06408374,0.0106660845,0.004004385,0.003248807,0.0019686255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047928146,0.00043093876,0.0012478431,0.001572522,0.0011064664,0.007454925,0.0014803573,0.003220754,0.012868289],"category_scores_gemma":[0.06995074,0.0008589006,0.00063156756,0.001687561,0.002533273,0.01355859,0.0020582802,0.0032208886,0.0009584772],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036708547,0.00091707846,0.0147907995,0.00027775034,0.00010847367,0.0011903548,0.00079755124,0.06110555,0.004079422,0.8495851,0.0071403584,0.056336638],"study_design_scores_gemma":[0.00034160604,0.00016841872,0.0029151852,0.000038016613,0.000065607055,0.00029810157,0.0002068293,0.3625676,0.0026359183,0.62980443,0.00088156736,0.000076795084],"about_ca_topic_score_codex":0.0009038214,"about_ca_topic_score_gemma":0.00069399556,"teacher_disagreement_score":0.012868289,"about_ca_system_score_codex":0.0011780261,"about_ca_system_score_gemma":0.0012105913,"threshold_uncertainty_score":0.04304868},"labels":[],"label_agreement":null},{"id":"W2117201921","doi":"10.5430/afr.v1n2p139","title":"Asset Liquidity and Mutual Fund Management Fees: Evidence from Closed-End Mutual Funds","year":2012,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Closed-end fund; Mutual fund; Business; Market liquidity; Open-end fund; Finance; Asset (computer security); Fund of funds; Asset management; Fund administration; Net asset value; Financial system; Institutional investor; Corporate governance; Computer science","score_opus":0.1903906971993908,"score_gpt":0.3386775464488568,"score_spread":0.14828684924946597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117201921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967321,0.000829236,0.00017200365,0.00026684057,0.000004507912,0.000009769552,0.00007806304,0.0000054310035,0.0019018908],"genre_scores_gemma":[0.99934393,0.00019058654,0.00006678423,0.00003238536,0.000026757614,0.000003835105,0.00011460276,0.0000013234999,0.00021972305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974553,0.00073249155,0.00035965463,0.00022172097,0.0009266132,0.0003041763],"domain_scores_gemma":[0.8239847,0.06270696,0.097440176,0.0039667506,0.005450518,0.0064509893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034650778,0.00026437495,0.0004885417,0.0024610444,0.0007506018,0.0026083023,0.0007958069,0.0013858277,0.0027557504],"category_scores_gemma":[0.07150255,0.00018541093,0.00040496435,0.0018216546,0.0017015671,0.0034177094,0.0026741135,0.0011398921,0.0003235204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014002423,0.0003736086,0.9750014,0.000121099234,0.00022906096,0.00073693733,0.0011685484,0.00061933283,0.0006691816,0.0023118423,0.0004066804,0.016962115],"study_design_scores_gemma":[0.00008970467,0.00060915056,0.98987985,0.0000932186,0.0001412789,0.0010269054,0.001157997,0.0012689953,0.0009795305,0.003014141,0.0017023791,0.0000368534],"about_ca_topic_score_codex":0.002868529,"about_ca_topic_score_gemma":0.003648633,"teacher_disagreement_score":0.0034650778,"about_ca_system_score_codex":0.0009020086,"about_ca_system_score_gemma":0.0006761514,"threshold_uncertainty_score":0.01832527},"labels":[],"label_agreement":null},{"id":"W2117479135","doi":"10.1017/s0022109009990196","title":"Information, Trading Volume, and International Stock Return Comovements: Evidence from Cross-Listed Stocks","year":2009,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Stock (firearms); Portfolio; Financial economics; Algorithmic trading; Business; Empirical evidence; Trading strategy; Volume (thermodynamics); Economics; Econometrics; Monetary economics","score_opus":0.05169116429688406,"score_gpt":0.2923734434599863,"score_spread":0.24068227916310223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117479135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991148,0.00019435842,0.000106611405,0.00006185283,0.0000023723098,0.0000018504115,0.00014048074,0.000003010908,0.00037459706],"genre_scores_gemma":[0.99935085,0.00013927478,0.00006736308,0.000014338366,0.000013248383,0.0000015552538,0.00031332317,0.0000014072647,0.00009859047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994892,0.00015645711,0.000066668006,0.00009295779,0.00013954644,0.00005511791],"domain_scores_gemma":[0.9833681,0.0070330165,0.007019822,0.0009218675,0.0008627434,0.00079447776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015977412,0.00034338067,0.00042193272,0.002002222,0.00033395688,0.0015771744,0.00037146264,0.00057884294,0.0020260678],"category_scores_gemma":[0.010140094,0.00026787023,0.00044070685,0.0025572889,0.00052662817,0.001198255,0.0009412805,0.0005023159,0.00034184064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016545244,0.00013520072,0.99284315,0.000015801583,0.00024754493,0.00013632218,0.00022933017,0.0009937285,0.00042930694,0.00026269502,0.00015233445,0.00438908],"study_design_scores_gemma":[0.00001619758,0.0001081055,0.99466467,0.000011076381,0.000110259134,0.00010690719,0.00027656433,0.0035471166,0.00037462855,0.0005014772,0.00026783047,0.000015234512],"about_ca_topic_score_codex":0.00747269,"about_ca_topic_score_gemma":0.006704102,"teacher_disagreement_score":0.00747269,"about_ca_system_score_codex":0.00029555897,"about_ca_system_score_gemma":0.0001632843,"threshold_uncertainty_score":0.014858425},"labels":[],"label_agreement":null},{"id":"W2117615578","doi":"10.5267/j.msl.2014.6.043","title":"Investigating the effects of liquidity and exchange rate on Tehran Stock Exchange","year":2014,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Stock exchange; Exchange rate; Business; Monetary economics; Economics; Finance","score_opus":0.022355605273483903,"score_gpt":0.2088070810621024,"score_spread":0.1864514757886185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117615578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817467,0.00036632625,0.00007059968,0.00014993337,0.000008138828,0.0000052007094,0.000081072256,0.0000031024542,0.0011410583],"genre_scores_gemma":[0.999243,0.00021304579,0.0000454292,0.000018756817,0.000027394635,0.0000033781744,0.0001711644,9.124424e-7,0.00027694105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965775,0.00009530624,0.000038544753,0.00005014887,0.000078765115,0.00007953647],"domain_scores_gemma":[0.9949685,0.0024114598,0.0018890916,0.00011417086,0.00031658163,0.00030029143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012067627,0.00030330577,0.00033622584,0.0011335517,0.0002824789,0.0011117513,0.0002544847,0.00047906634,0.002897967],"category_scores_gemma":[0.004692496,0.000105365856,0.000568616,0.00095294684,0.00027567492,0.0009608818,0.0004822044,0.00075043057,0.0002857949],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004417209,0.00015107993,0.9877309,0.00004954086,0.00019493609,0.0006573333,0.0003244289,0.0013208295,0.00065593777,0.00065541035,0.00030002077,0.007517854],"study_design_scores_gemma":[0.000034429275,0.00029731606,0.99403304,0.000018606317,0.00017484427,0.00014120377,0.00060021156,0.0035454421,0.00040379376,0.00028064617,0.00045851577,0.00001202809],"about_ca_topic_score_codex":0.0049174377,"about_ca_topic_score_gemma":0.0048694434,"teacher_disagreement_score":0.0049174377,"about_ca_system_score_codex":0.0004735477,"about_ca_system_score_gemma":0.000538131,"threshold_uncertainty_score":0.009777665},"labels":[],"label_agreement":null},{"id":"W2117752321","doi":"","title":"Performance Comparison of Canadian Hedge Funds and Mutual Funds","year":2010,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Fund of funds; Global assets under management; Alternative beta; Commodity pool; Open-end fund; Hedge fund; Passive management; Institutional investor; Business; Closed-end fund; Hedge accounting; Mutual fund; Finance; Corporate governance; Market liquidity","score_opus":0.026875139024303916,"score_gpt":0.1940646133287035,"score_spread":0.1671894743043996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117752321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9389765,0.0064098705,0.00032256264,0.001604796,0.00008242017,0.00004483869,0.0060953405,0.0001638999,0.046299785],"genre_scores_gemma":[0.99073166,0.0007453886,0.00032721573,0.00005339857,0.000023546392,0.000007326185,0.0026181177,0.000016660753,0.0054768333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99680567,0.00015082998,0.000109643166,0.00023751345,0.0018622671,0.00083407434],"domain_scores_gemma":[0.99381036,0.0002962239,0.00070557976,0.00017577334,0.0040565454,0.0009554823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002057254,0.00047291888,0.0004581183,0.003664706,0.0012143615,0.0024861854,0.0008630299,0.0006068644,0.0023737124],"category_scores_gemma":[0.009636824,0.00015495237,0.0004513158,0.0045832656,0.0004913159,0.00077048887,0.0009870192,0.00032127235,0.0003912018],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004412303,0.00014375224,0.6327957,0.00046576973,0.00059282506,0.0006905887,0.0028155055,0.010985673,0.0045259497,0.023932869,0.064315714,0.25432336],"study_design_scores_gemma":[0.00011027046,0.0002598415,0.928536,0.00009294342,0.00021148851,0.00031918724,0.0015742827,0.008103845,0.004391356,0.00049970153,0.055773273,0.0001278322],"about_ca_topic_score_codex":0.9481548,"about_ca_topic_score_gemma":0.9503448,"teacher_disagreement_score":0.051845193,"about_ca_system_score_codex":0.030001255,"about_ca_system_score_gemma":0.019608844,"threshold_uncertainty_score":0.21767533},"labels":[],"label_agreement":null},{"id":"W2117817937","doi":"","title":"Directional and Non-Directional Risk Exposures in Hedge Fund Returns","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Hedge fund; Hedge accounting; Position (finance); Returns-based style analysis; Alternative beta; Economics; Financial economics; Risk premium; Business; Actuarial science; Open-end fund; Institutional investor; Finance; Corporate governance","score_opus":0.014286883501248392,"score_gpt":0.21131741890867292,"score_spread":0.19703053540742452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117817937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9154124,0.0009897088,0.07694503,0.00023341674,0.000028567756,0.000030198726,0.00013726405,0.00006538682,0.006157961],"genre_scores_gemma":[0.9953159,0.00024018915,0.0034051565,0.0000145056765,0.000014835698,0.0000062811228,0.000051586736,0.000008908191,0.00094250735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991642,0.00026189047,0.000062510284,0.00019964088,0.0002325205,0.00007920548],"domain_scores_gemma":[0.9905854,0.006026886,0.0017539455,0.0010080268,0.0003739312,0.00025172313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033040391,0.00052900077,0.00039648995,0.00088983664,0.00015998041,0.002207184,0.00043964258,0.00095718267,0.0015204072],"category_scores_gemma":[0.020465171,0.00029401825,0.0007973094,0.0007626092,0.000649858,0.0028330053,0.001399086,0.0009236359,0.00026770914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071534223,0.00029279815,0.42536423,0.0001846086,0.00056035066,0.0009857023,0.0009738758,0.21074875,0.0092446,0.23554878,0.0006687665,0.114712186],"study_design_scores_gemma":[0.00005371608,0.0005526902,0.32708323,0.000083883846,0.00028618032,0.0008941608,0.00049100735,0.44720826,0.0046328222,0.21583636,0.0026707777,0.00020690868],"about_ca_topic_score_codex":0.0010773292,"about_ca_topic_score_gemma":0.0010890497,"teacher_disagreement_score":0.0033040391,"about_ca_system_score_codex":0.00047987967,"about_ca_system_score_gemma":0.00033627296,"threshold_uncertainty_score":0.017473638},"labels":[],"label_agreement":null},{"id":"W2117830406","doi":"10.2139/ssrn.1650003","title":"The Real Effects of Disclosure Tone: Evidence from Restatements","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Tone (literature); Business; Psychology; Linguistics","score_opus":0.026595083339163057,"score_gpt":0.2366508691332818,"score_spread":0.21005578579411874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117830406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99568814,0.00043304535,0.00011020252,0.00043404632,0.000013498142,0.000007666477,0.00032851577,0.000007603785,0.0029772108],"genre_scores_gemma":[0.99831164,0.00019800509,0.00003191568,0.00006692873,0.00003451731,0.0000058942433,0.00029059904,0.0000045348065,0.0010560094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970444,0.0015814891,0.00024089788,0.00028216533,0.0005063816,0.00034476534],"domain_scores_gemma":[0.8828362,0.063632526,0.0418888,0.0063742334,0.0028271654,0.0024410666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038187017,0.00028505528,0.0005362028,0.000655507,0.0007290283,0.0026175317,0.00083112024,0.0015466309,0.0071589374],"category_scores_gemma":[0.043868963,0.0002510369,0.00039004238,0.0011457185,0.001166768,0.0016185889,0.0013255537,0.0016654403,0.0014896046],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016769243,0.0025141276,0.91975,0.0002537932,0.0007343448,0.00083801895,0.0035717252,0.002212329,0.0042401818,0.0064227534,0.0051769367,0.037516605],"study_design_scores_gemma":[0.00019401782,0.0010163975,0.99035394,0.000029269162,0.00023369519,0.0002329169,0.0015687308,0.0011043511,0.0014291134,0.0016377008,0.002161224,0.000038547187],"about_ca_topic_score_codex":0.0032364202,"about_ca_topic_score_gemma":0.002416307,"teacher_disagreement_score":0.0071589374,"about_ca_system_score_codex":0.0005015253,"about_ca_system_score_gemma":0.00022065411,"threshold_uncertainty_score":0.023949027},"labels":[],"label_agreement":null},{"id":"W2118014558","doi":"10.1088/1469-7688/3/2/305","title":"Systematic risk and timescales","year":2003,"lang":"en","type":"article","venue":"Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":196,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Colorado College; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Capital asset pricing model; Portfolio; Econometrics; Wavelet; Market portfolio; Systematic risk; BETA (programming language); Economics; Scale (ratio); Financial economics; Rate of return on a portfolio; Security market line; Portfolio optimization; Mathematics; Computer science; Stock market; Physics; Geology; Artificial intelligence","score_opus":0.03196825283264163,"score_gpt":0.2321751047408086,"score_spread":0.20020685190816698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118014558","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35518697,0.012026975,0.58369845,0.0034189043,0.00059401285,0.00007167011,0.00042628907,0.00039402777,0.04418271],"genre_scores_gemma":[0.9779715,0.002108466,0.016153881,0.00014200658,0.00039813196,0.0000381839,0.000101249236,0.000078059275,0.0030085738],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993043,0.00017854167,0.000047324585,0.00017872856,0.00021154138,0.000079555764],"domain_scores_gemma":[0.9945299,0.0026687253,0.0015324609,0.0006265865,0.0003323567,0.00031005178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021190443,0.00061839534,0.0005158097,0.0010883741,0.0004162843,0.0020535383,0.0005951563,0.0009383175,0.0024112496],"category_scores_gemma":[0.019450635,0.0003060945,0.00051147555,0.00090216123,0.0013301249,0.004127197,0.0017497736,0.0011219003,0.00029136866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010414131,0.000041457864,0.030184308,0.00022037383,0.00021027996,0.00042612953,0.00083685794,0.04178817,0.0041829436,0.8382048,0.0018192835,0.08198119],"study_design_scores_gemma":[0.000016863865,0.00007621774,0.024742298,0.000069679416,0.00005479527,0.00034322866,0.0002279379,0.05108352,0.00056162017,0.91505975,0.0077025914,0.00006150794],"about_ca_topic_score_codex":0.0013014835,"about_ca_topic_score_gemma":0.0006474507,"teacher_disagreement_score":0.0024112496,"about_ca_system_score_codex":0.00061105634,"about_ca_system_score_gemma":0.00059480214,"threshold_uncertainty_score":0.011206746},"labels":[],"label_agreement":null},{"id":"W2118043941","doi":"10.1506/6xyn-e8f1-bw3f-cucu","title":"Resource Allocation Effects of Price Reactions to Disclosures*","year":2002,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":142,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Microeconomics; Business; Cash flow; Cost of capital; Exploit; Economics; Ask price; Capital market; Share price; Industrial organization; Value (mathematics); Finance; Incentive; Computer science","score_opus":0.08088293684761802,"score_gpt":0.28525712810686726,"score_spread":0.20437419125924924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118043941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96751225,0.00022364203,0.0061181895,0.0011640106,0.00010235857,0.00011780612,0.0001878659,0.00013180632,0.024442099],"genre_scores_gemma":[0.9979954,0.000048440277,0.0006194126,0.00010952713,0.000025718244,0.00002101249,0.000024076651,0.0000143109455,0.001142102],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99792576,0.001017256,0.00017539511,0.0002702696,0.00028308458,0.00032825733],"domain_scores_gemma":[0.9456465,0.034430906,0.011964099,0.003613913,0.0020474123,0.0022971495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00450899,0.00041681464,0.00047361382,0.00038468005,0.0003884177,0.0021733814,0.00059029,0.0012172243,0.01054901],"category_scores_gemma":[0.05205428,0.00033686802,0.00028445042,0.00035498923,0.00085176236,0.0017376604,0.0011268514,0.0014803665,0.0008591232],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.027542517,0.006986264,0.13078128,0.0011126699,0.0005949766,0.0021426543,0.001807096,0.19428667,0.22004576,0.15544204,0.008368151,0.25088987],"study_design_scores_gemma":[0.0017828157,0.007533868,0.45090774,0.00017823167,0.00072565593,0.00072989386,0.0020271272,0.29593894,0.040651936,0.19073264,0.008389113,0.00040205676],"about_ca_topic_score_codex":0.0010396508,"about_ca_topic_score_gemma":0.00058940507,"teacher_disagreement_score":0.01054901,"about_ca_system_score_codex":0.0010274961,"about_ca_system_score_gemma":0.00088354753,"threshold_uncertainty_score":0.035289943},"labels":[],"label_agreement":null},{"id":"W2118092143","doi":"10.5267/j.msl.2014.3.019","title":"An application of unit rate estimation on shareholders’ overreaction: Evidence from Tehran Stock Exchange","year":2014,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shareholder; Stock exchange; Estimation; Business; Stock (firearms); Monetary economics; Exchange rate; Econometrics; Economics; Finance; Corporate governance; Management; Materials science","score_opus":0.055041124779448204,"score_gpt":0.2538671076135581,"score_spread":0.19882598283410988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118092143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99703324,0.00031110624,0.0014914362,0.00010130682,0.0000075831645,0.0000064195347,0.00012137935,0.000014599504,0.0009128373],"genre_scores_gemma":[0.9992194,0.0000815553,0.0003510077,0.00000966131,0.000011146718,0.0000013743221,0.00019500616,0.000002222739,0.00012848376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990408,0.00028724156,0.00010223762,0.00017132015,0.00032075573,0.00007774632],"domain_scores_gemma":[0.99290985,0.0032776662,0.0022431659,0.00064556557,0.0008169131,0.00010678852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002460266,0.000217213,0.00024708087,0.001288277,0.00015958033,0.00046980736,0.00047531186,0.0003379398,0.0010511136],"category_scores_gemma":[0.009100258,0.00008142237,0.00026919876,0.00085136277,0.0002782736,0.00072469073,0.00032029278,0.00045115448,0.0001807923],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016435265,0.00005835379,0.9542314,0.000043724358,0.00013416298,0.00034635572,0.00036113436,0.003174189,0.0013852769,0.0008995894,0.0006202652,0.03858115],"study_design_scores_gemma":[0.000030742827,0.00021208343,0.95928764,0.000022530015,0.00015219464,0.00027329434,0.0006859551,0.033739045,0.0029704517,0.0010542481,0.0015491464,0.000022627624],"about_ca_topic_score_codex":0.005708521,"about_ca_topic_score_gemma":0.0037821378,"teacher_disagreement_score":0.005708521,"about_ca_system_score_codex":0.00021335269,"about_ca_system_score_gemma":0.00018555135,"threshold_uncertainty_score":0.013011336},"labels":[],"label_agreement":null},{"id":"W2118245148","doi":"10.2139/ssrn.964447","title":"Leverage and Asymmetric Volatility: The Firm Level Evidence","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Volatility (finance); Leverage (statistics); Business; Monetary economics; Economics; Financial system; Finance; Computer science","score_opus":0.05269074744145708,"score_gpt":0.2426481307475342,"score_spread":0.18995738330607712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118245148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801105,0.007102429,0.0005233138,0.0024174952,0.00005653649,0.00001093501,0.0012900576,0.000021081723,0.00846766],"genre_scores_gemma":[0.9976526,0.0011694195,0.000057179113,0.0001458397,0.00018323807,0.0000018296023,0.00047588322,0.0000032950907,0.0003107943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851424,0.00033846687,0.00018140824,0.00029262662,0.00040480334,0.00026843045],"domain_scores_gemma":[0.9248707,0.035616465,0.028863287,0.004611597,0.0022931276,0.0037447545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026403565,0.00035068876,0.0008437507,0.0024126377,0.0004942547,0.0032488962,0.00094986305,0.0016294848,0.009623503],"category_scores_gemma":[0.019391539,0.00029187775,0.0006367174,0.00374261,0.0013332944,0.0017977246,0.0016566134,0.0017510767,0.0010474415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052866637,0.00016209878,0.9806824,0.000077609715,0.00060932984,0.00039103022,0.00010714319,0.00029400285,0.00033535218,0.001803496,0.0011577382,0.013851193],"study_design_scores_gemma":[0.00006154184,0.00018924144,0.9923769,0.00007029319,0.0006776243,0.000498667,0.00032505253,0.00086330547,0.0004787256,0.0028306157,0.0016078781,0.000020120193],"about_ca_topic_score_codex":0.003731495,"about_ca_topic_score_gemma":0.005220267,"teacher_disagreement_score":0.009623503,"about_ca_system_score_codex":0.0003668238,"about_ca_system_score_gemma":0.00041725772,"threshold_uncertainty_score":0.03219378},"labels":[],"label_agreement":null},{"id":"W2118729713","doi":"10.5430/afr.v4n3p46","title":"Is Pharmaceuticals Industry Efficient? Evidence from Dhaka Stock Exchange","year":2015,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Autocorrelation; Stock (firearms); Stock exchange; Efficient-market hypothesis; Random walk hypothesis; Market efficiency; Econometrics; Unit root test; Test (biology); Random walk; Business; Financial economics; Unit root; Economics; Stock market; Statistics; Mathematics; Finance; Cointegration; Engineering; Geography","score_opus":0.36604186977942926,"score_gpt":0.40147721454051016,"score_spread":0.0354353447610809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118729713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95220035,0.004317622,0.0005283948,0.005730655,0.000040367937,0.000038610495,0.0017333546,0.000015024613,0.035395607],"genre_scores_gemma":[0.9963038,0.0013072311,0.000077607,0.00030295688,0.000050084967,0.0000041244266,0.0006451151,0.0000033652,0.0013057006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998456,0.0002733217,0.0002366219,0.00026646216,0.0005315926,0.00023603074],"domain_scores_gemma":[0.96727175,0.015958847,0.011999086,0.0016499751,0.0020867027,0.001033655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020103871,0.00024551855,0.00031885412,0.0025224835,0.0006740913,0.0030570698,0.00066675316,0.0007166533,0.013446752],"category_scores_gemma":[0.017772222,0.00023447897,0.0003744692,0.0027075578,0.0015431598,0.0023789995,0.0012150343,0.0007724859,0.0016832231],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006496433,0.00013668266,0.94912565,0.00035247963,0.0003127319,0.0011483028,0.0010207015,0.00036397023,0.0006454551,0.013719886,0.0033222537,0.029202228],"study_design_scores_gemma":[0.00007107175,0.00013421752,0.9776909,0.00018505844,0.00021489851,0.0006198194,0.003517643,0.00078503217,0.000975409,0.002627051,0.013150992,0.00002796769],"about_ca_topic_score_codex":0.008925528,"about_ca_topic_score_gemma":0.007126228,"teacher_disagreement_score":0.013446752,"about_ca_system_score_codex":0.0006718273,"about_ca_system_score_gemma":0.0007835552,"threshold_uncertainty_score":0.044983864},"labels":[],"label_agreement":null},{"id":"W2119124389","doi":"10.5539/ijef.v6n4p147","title":"Valuarion Bias and Profit Opportunities in Financial Markets","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Robustness (evolution); Profit (economics); Economics; Stock (firearms); Investment strategy; Financial economics; Investment (military); Financial market; Econometrics; Monetary economics; Finance; Microeconomics; Engineering; Biology","score_opus":0.06564659817301843,"score_gpt":0.22891554324945548,"score_spread":0.16326894507643705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119124389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856595,0.0013363347,0.008598283,0.0004975353,0.00003154854,0.00002946992,0.00025454705,0.00005514277,0.003537644],"genre_scores_gemma":[0.99865603,0.00011672798,0.0007034048,0.000034772394,0.00002567271,0.00000447505,0.00011709334,0.000006277446,0.0003354366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980817,0.0006145698,0.00018533826,0.00033671362,0.0005663556,0.00021531191],"domain_scores_gemma":[0.9319816,0.04608676,0.01607418,0.003530935,0.0013265779,0.0010000055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008429167,0.0003017169,0.0006102764,0.001956297,0.00039464596,0.00187629,0.000558229,0.0010346151,0.0025055252],"category_scores_gemma":[0.063729644,0.00019163529,0.0005027717,0.0015652926,0.0011906571,0.0022998585,0.0009550925,0.0008559402,0.0003579898],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032379414,0.00011557938,0.95251626,0.00006031002,0.00024945318,0.00020543898,0.00022750889,0.004620057,0.0015211042,0.0084405355,0.00055298477,0.031166906],"study_design_scores_gemma":[0.000053335814,0.0002347922,0.9102899,0.000048587735,0.00013676383,0.0005055538,0.000335035,0.038598232,0.0023776952,0.045656256,0.0017111342,0.000052771826],"about_ca_topic_score_codex":0.0024767444,"about_ca_topic_score_gemma":0.002855528,"teacher_disagreement_score":0.008429167,"about_ca_system_score_codex":0.00073363545,"about_ca_system_score_gemma":0.00038533687,"threshold_uncertainty_score":0.044578254},"labels":[],"label_agreement":null},{"id":"W2119129172","doi":"10.2469/faj.v56.n4.2376","title":"Capital Ideas and Market Realities: Option Replication, Investor Behavior, and Stock Market Crashes (a review)","year":2000,"lang":"en","type":"article","venue":"Financial Analysts Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Stock market; Economics; Financial economics; Replication (statistics); Capital market; Investor behavior; Business; Monetary economics; Finance","score_opus":0.02167214256326991,"score_gpt":0.23474832852843594,"score_spread":0.21307618596516603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119129172","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043339813,0.9905911,0.0005983869,0.0009937295,0.00011241095,0.000005603068,0.000018926485,0.000004863872,0.0033410327],"genre_scores_gemma":[0.030272644,0.96740746,0.0005090239,0.00046084423,0.0005352587,0.000008568248,0.000027522687,0.0000030806711,0.0007756001],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99966395,0.00010926628,0.000039595518,0.00005408212,0.00011040098,0.000022828855],"domain_scores_gemma":[0.99696285,0.002319434,0.00026680433,0.000052528925,0.00033294296,0.00006552573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001373486,0.0003744126,0.00058519904,0.001997627,0.00025497237,0.0015580507,0.0004182519,0.0011041253,0.0014024971],"category_scores_gemma":[0.0040460555,0.00020227076,0.0002817927,0.0018712326,0.0010174512,0.002275994,0.0004204197,0.0010232297,0.00035271895],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018969025,0.00012229828,0.009603936,0.0050038947,0.0002284312,0.0008903786,0.00065956265,0.0011613412,0.0014341833,0.021072777,0.014395296,0.9452383],"study_design_scores_gemma":[0.000096765114,0.0013763244,0.0692135,0.009543318,0.0008438648,0.015337598,0.0025788592,0.0017791862,0.004143377,0.060579304,0.8343052,0.00020271882],"about_ca_topic_score_codex":0.0013485664,"about_ca_topic_score_gemma":0.0025036419,"teacher_disagreement_score":0.001997627,"about_ca_system_score_codex":0.00044383065,"about_ca_system_score_gemma":0.00056150736,"threshold_uncertainty_score":0.0072637796},"labels":[],"label_agreement":null},{"id":"W2119227652","doi":"10.1016/s0927-5398(01)00059-7","title":"Let's get “real” about using economic data","year":2002,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; McGill University","funders":"University of California, San Diego; McGill University","keywords":"Warrant; Asset (computer security); Economics; Economic data; Econometrics; Real-time data; Empirical research; Financial market; Financial economics; Actuarial science; Finance; Computer science; Macroeconomics; Computer security","score_opus":0.19439972662930047,"score_gpt":0.31907572677197965,"score_spread":0.12467600014267918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119227652","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033537187,0.021651056,0.22393389,0.6233005,0.027872315,0.00038991735,0.014905149,0.0031670758,0.051242877],"genre_scores_gemma":[0.39720857,0.039986484,0.22943132,0.25505793,0.020878775,0.0010301213,0.017338164,0.002766202,0.036302485],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.987501,0.007602291,0.0010388389,0.00089449034,0.002669775,0.0002935956],"domain_scores_gemma":[0.89082235,0.062220562,0.004727053,0.02642643,0.014324574,0.0014790262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017933168,0.0020823951,0.0020463793,0.0053305393,0.0011846466,0.010240025,0.002352512,0.004944578,0.017913023],"category_scores_gemma":[0.26204193,0.0009849665,0.0012231184,0.00565512,0.004915168,0.03830307,0.005179735,0.010583033,0.012849629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043022737,0.0004245155,0.046506908,0.002511794,0.0014696917,0.0006030131,0.0022243469,0.0053556706,0.0017451773,0.18977913,0.4254987,0.3234509],"study_design_scores_gemma":[0.000107654574,0.00012429312,0.009804384,0.0024217027,0.0003374351,0.00049254333,0.0038022506,0.007990652,0.0022200446,0.52214736,0.4502856,0.00026602918],"about_ca_topic_score_codex":0.004330795,"about_ca_topic_score_gemma":0.0026369218,"teacher_disagreement_score":0.017933168,"about_ca_system_score_codex":0.00090845505,"about_ca_system_score_gemma":0.0015043827,"threshold_uncertainty_score":0.094840825},"labels":[],"label_agreement":null},{"id":"W2119502970","doi":"10.5430/ijfr.v4n2p108","title":"Allocation of Assets on the Ghana Stock Exchange (GSE)","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Portfolio optimization; Business; Asset allocation; Stock exchange; Financial market; Profit (economics); Finance; Financial economics; Economics; Microeconomics","score_opus":0.13458350985872708,"score_gpt":0.33785474446352304,"score_spread":0.20327123460479596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119502970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97500616,0.0007716015,0.0011492372,0.00030682218,0.00004265262,0.000066953435,0.01581473,0.00008080594,0.0067610093],"genre_scores_gemma":[0.9764441,0.00056881184,0.0010807733,0.00006737466,0.00003898056,0.000045891662,0.018137762,0.000014561402,0.0036016728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969673,0.000055934965,0.000028368742,0.000056381192,0.00011317043,0.000049347556],"domain_scores_gemma":[0.998434,0.00037384217,0.0007305426,0.00007538787,0.00026118444,0.00012502629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046066297,0.00031394372,0.00044215695,0.0022895706,0.00020258536,0.0007440704,0.0003979649,0.00056570984,0.0032938232],"category_scores_gemma":[0.003380032,0.00014332285,0.00019603194,0.0027643798,0.00027313564,0.0008541669,0.0004191132,0.00047488595,0.0009351073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006602846,0.00018251665,0.88837254,0.00018640282,0.00020330043,0.0012076404,0.00032164177,0.026077371,0.0014073127,0.005938644,0.021041395,0.054401014],"study_design_scores_gemma":[0.0000797044,0.00022453362,0.9144101,0.000079320394,0.00007722025,0.0007090114,0.00075332675,0.05639631,0.0028255102,0.0035458414,0.020846797,0.00005232109],"about_ca_topic_score_codex":0.016163599,"about_ca_topic_score_gemma":0.016814467,"teacher_disagreement_score":0.016163599,"about_ca_system_score_codex":0.0010780555,"about_ca_system_score_gemma":0.000323891,"threshold_uncertainty_score":0.032139003},"labels":[],"label_agreement":null},{"id":"W2119676564","doi":"10.7202/601491ar","title":"La transaction programmée et la volatilité","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.03539942041200596,"score_gpt":0.2486421317446217,"score_spread":0.21324271133261574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119676564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89195305,0.004419995,0.025251284,0.0012729779,0.000074636126,0.00010928175,0.0011159171,0.00007058614,0.075732246],"genre_scores_gemma":[0.97670984,0.0014396936,0.0032292986,0.000074608484,0.00005786664,0.00006151729,0.00042868062,0.000023655857,0.017974962],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987078,0.00022442009,0.000079360994,0.00029963214,0.00054089545,0.00014786005],"domain_scores_gemma":[0.9915359,0.004817947,0.0020850224,0.00045726405,0.00081332325,0.00029051394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001420976,0.00030226883,0.00042384537,0.0012723809,0.00053604465,0.0029390543,0.0005709918,0.0007270163,0.0132758245],"category_scores_gemma":[0.009129225,0.0003163615,0.00044738024,0.0023037177,0.0014986186,0.0022206467,0.00093794346,0.0011314556,0.0007080042],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010716892,0.00021925587,0.5838636,0.0006838393,0.000599133,0.00080461166,0.005735338,0.01302167,0.008438034,0.22951572,0.0021865752,0.15386051],"study_design_scores_gemma":[0.000063435655,0.0003351553,0.91301894,0.00012723438,0.00019379992,0.00057561713,0.0013624025,0.010626062,0.0033108592,0.030102214,0.04020294,0.00008140888],"about_ca_topic_score_codex":0.03321305,"about_ca_topic_score_gemma":0.026171349,"teacher_disagreement_score":0.03321305,"about_ca_system_score_codex":0.002811789,"about_ca_system_score_gemma":0.001949869,"threshold_uncertainty_score":0.06603944},"labels":[],"label_agreement":null},{"id":"W2119752083","doi":"10.3905/jwm.2013.15.4.041","title":"Learn More About the Equal Sector Strategyof Select Sector SPDRs","year":2013,"lang":"en","type":"article","venue":"The journal of wealth management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Portfolio; Volatility (finance); Period (music); Financial economics; Economics; Econometrics; Basis point; Business; Monetary economics; Interest rate","score_opus":0.035205351905125574,"score_gpt":0.23384899521383837,"score_spread":0.1986436433087128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119752083","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49202228,0.019947115,0.017544964,0.26405257,0.0015637074,0.000121581936,0.0031834822,0.0003139079,0.20125042],"genre_scores_gemma":[0.959947,0.0064679915,0.0040533133,0.012541686,0.0007112799,0.000026163394,0.0010711519,0.000052425912,0.015128977],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992674,0.0002296876,0.000060040744,0.00008879423,0.00023003637,0.00012406491],"domain_scores_gemma":[0.9922632,0.002745068,0.0022381218,0.0005552325,0.0016674309,0.00053097523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023708337,0.00030770316,0.00034681306,0.0009220048,0.00041760452,0.0032240853,0.000580103,0.0012121698,0.028932938],"category_scores_gemma":[0.01460389,0.0001049283,0.0002724885,0.0013436492,0.00062866206,0.0070839813,0.0008911157,0.0013092833,0.003010405],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024678314,0.00037768172,0.21266498,0.00038794236,0.00018502143,0.00032328654,0.0012466178,0.0029790718,0.0009867466,0.10086373,0.13394168,0.54579645],"study_design_scores_gemma":[0.00018761346,0.0005727519,0.35912648,0.0010447801,0.00021092805,0.00061411405,0.0092046335,0.016227432,0.006380398,0.26122808,0.34506452,0.0001382378],"about_ca_topic_score_codex":0.00804488,"about_ca_topic_score_gemma":0.009714938,"teacher_disagreement_score":0.028932938,"about_ca_system_score_codex":0.0016962787,"about_ca_system_score_gemma":0.0009072384,"threshold_uncertainty_score":0.09679031},"labels":[],"label_agreement":null},{"id":"W2119817456","doi":"10.1017/s0022109010000311","title":"Idiosyncratic Risk, Long-Term Reversal, and Momentum","year":2010,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Systematic risk; Arbitrage; Diversification (marketing strategy); Transaction cost; Momentum (technical analysis); Economics; Limits to arbitrage; Limiting; Financial economics; Monetary economics; Business; Microeconomics","score_opus":0.023145184727915723,"score_gpt":0.24732812268281365,"score_spread":0.22418293795489794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119817456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960361,0.00020185151,0.00082414696,0.00011579435,0.000006491966,0.0000054954653,0.00003442234,0.000008170286,0.0027675491],"genre_scores_gemma":[0.9995468,0.00004357606,0.00009845936,0.000012410639,0.0000071814256,0.0000013187058,0.00002324626,0.0000011309875,0.00026589556],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967194,0.00008162912,0.000037178368,0.000047880683,0.000101825746,0.00005959029],"domain_scores_gemma":[0.97766554,0.010687281,0.008615903,0.0011333423,0.00065322965,0.0012446475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012277715,0.00028367504,0.00043980248,0.00046878966,0.00023013054,0.0014210884,0.00026157833,0.0005690831,0.004305218],"category_scores_gemma":[0.012972793,0.00013215837,0.00023928088,0.0005045004,0.0007891979,0.0011823559,0.0006904158,0.0009226649,0.0002606644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018048267,0.0009640381,0.94083697,0.00009914403,0.00024739618,0.0009791056,0.00019310591,0.007102212,0.006498811,0.010557312,0.00042321772,0.030293869],"study_design_scores_gemma":[0.000092868686,0.0009897103,0.95200586,0.000035682584,0.00018041633,0.0008337289,0.00036125342,0.015242197,0.002763603,0.026861481,0.00058988,0.00004327073],"about_ca_topic_score_codex":0.00071781216,"about_ca_topic_score_gemma":0.0006259164,"teacher_disagreement_score":0.004305218,"about_ca_system_score_codex":0.00028582843,"about_ca_system_score_gemma":0.00031514865,"threshold_uncertainty_score":0.0144023895},"labels":[],"label_agreement":null},{"id":"W2119924548","doi":"10.2139/ssrn.2000901","title":"The Peer Performance of Hedge Funds","year":2012,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université Laval","funders":"","keywords":"Hedge fund; Open-end fund; Sharpe ratio; Fund of funds; Alternative beta; Econometrics; Passive management; Actuarial science; Global assets under management; Business; Institutional investor; Economics; Finance; Portfolio","score_opus":0.024842220004089626,"score_gpt":0.21929358864035353,"score_spread":0.19445136863626392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119924548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98526275,0.0009937522,0.0012179643,0.0010176521,0.00006474512,0.000009111741,0.000057755562,0.000042259868,0.011333929],"genre_scores_gemma":[0.9979881,0.00012693857,0.00006305682,0.000021738115,0.00006238385,0.0000019902857,0.000023556142,0.000006585897,0.0017056691],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989003,0.0003661673,0.000066683446,0.00013091059,0.0003315946,0.00020423769],"domain_scores_gemma":[0.98285425,0.0074173664,0.004420724,0.0010658875,0.0026880987,0.0015535505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027486335,0.00027195542,0.00058571773,0.0007898603,0.0005297291,0.0024883067,0.00045585787,0.0022246353,0.0049991384],"category_scores_gemma":[0.038037956,0.00014432425,0.00017766413,0.00048020363,0.0007132316,0.0032933818,0.00090757303,0.00068697886,0.00094954047],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007898539,0.0009264395,0.2622676,0.0005468558,0.0008833422,0.003432488,0.004234042,0.0811166,0.028381202,0.36036602,0.03192049,0.21802641],"study_design_scores_gemma":[0.0008250712,0.004131774,0.33464643,0.00016981858,0.0005816273,0.0025489083,0.005969733,0.19070335,0.030018082,0.40311077,0.027013002,0.00028142455],"about_ca_topic_score_codex":0.00074106903,"about_ca_topic_score_gemma":0.00047442425,"teacher_disagreement_score":0.0049991384,"about_ca_system_score_codex":0.0005400077,"about_ca_system_score_gemma":0.00047638305,"threshold_uncertainty_score":0.016723752},"labels":[],"label_agreement":null},{"id":"W2120416220","doi":"10.2139/ssrn.1344133","title":"Long Term Performance of Leveraged ETFs","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Benchmark (surveying); Term (time); Econometrics; Statistics; Mathematics; Geography; Physics; Cartography","score_opus":0.014671692719376898,"score_gpt":0.2034380588861523,"score_spread":0.1887663661667754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120416220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982926,0.00015611952,0.0002992549,0.000047850514,0.0000063872403,0.0000017742037,0.00016186433,0.00001255913,0.0010215517],"genre_scores_gemma":[0.9988663,0.000033847693,0.000033370703,0.0000051829456,0.000005955155,0.0000012544978,0.00018676338,0.0000028388554,0.00086451956],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974936,0.000026984926,0.000016952183,0.00003566708,0.00007198479,0.000099045654],"domain_scores_gemma":[0.9972681,0.0010459274,0.00045931537,0.00021473116,0.00050169916,0.00051017985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008073759,0.00017658292,0.00030918937,0.00046339244,0.00019242756,0.0010016217,0.00039440265,0.0006754829,0.004345172],"category_scores_gemma":[0.0046248776,0.000055434928,0.00018950354,0.00048104432,0.00019956351,0.0011618929,0.00044542665,0.00037312115,0.000653152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0075896527,0.0015116608,0.5012457,0.0001363603,0.000421582,0.003107017,0.0007481608,0.19538842,0.04570839,0.019054694,0.005612544,0.21947584],"study_design_scores_gemma":[0.00018346812,0.0036938163,0.59210545,0.00007297467,0.00020137092,0.0018688849,0.0008048916,0.35261288,0.029683799,0.012230615,0.006431716,0.000110147485],"about_ca_topic_score_codex":0.0012857897,"about_ca_topic_score_gemma":0.0006141034,"teacher_disagreement_score":0.004345172,"about_ca_system_score_codex":0.00029513292,"about_ca_system_score_gemma":0.00013793148,"threshold_uncertainty_score":0.014536083},"labels":[],"label_agreement":null},{"id":"W2120507908","doi":"10.1002/cjas.93","title":"Value versus growth stock returns and the value premium: The Canadian experience 1985–2005","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Value premium; Value (mathematics); Recession; Economics; Earnings; Stock (firearms); Growth stock; Stock price; Econometrics; Financial economics; Stock market; Mathematics; Statistics; Finance; Keynesian economics; Geography; Capital asset pricing model; Stock market bubble; Biology","score_opus":0.10455876633137533,"score_gpt":0.28948172776408987,"score_spread":0.18492296143271453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120507908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818662,0.0013989615,0.00011726678,0.001172911,0.00001845741,0.000022175882,0.006347559,0.000014460758,0.009042044],"genre_scores_gemma":[0.994919,0.0005250845,0.000081496,0.000073173105,0.000008122811,0.0000028217512,0.0020794082,0.0000039373263,0.0023069722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992955,0.000033447788,0.000032043063,0.000067149034,0.00034127483,0.00023057766],"domain_scores_gemma":[0.99560416,0.0003765646,0.0010416526,0.00012951482,0.0020358977,0.0008121145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014336044,0.00020867627,0.00038800653,0.002056658,0.0014829801,0.0014973163,0.0005675071,0.00037406545,0.0025403535],"category_scores_gemma":[0.0062189577,0.00013452016,0.0002896277,0.0047291815,0.0006921323,0.0006257479,0.00067221763,0.000764567,0.00019312218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021377644,0.000080175574,0.95069504,0.00006689727,0.00006623502,0.00022721535,0.00543537,0.00071875565,0.0002287702,0.0022767202,0.009127711,0.030863337],"study_design_scores_gemma":[0.000004714576,0.000017731607,0.99187076,0.000021338567,0.0000124760545,0.000036070924,0.0012502538,0.000406103,0.00007073358,0.00006451314,0.006230649,0.000014533748],"about_ca_topic_score_codex":0.99564594,"about_ca_topic_score_gemma":0.996775,"teacher_disagreement_score":0.021046182,"about_ca_system_score_codex":0.021046182,"about_ca_system_score_gemma":0.020699335,"threshold_uncertainty_score":0.1527015},"labels":[],"label_agreement":null},{"id":"W2121029606","doi":"10.1111/1540-6261.00537","title":"Cross‐Border Listings and Price Discovery: Evidence from U.S.‐Listed Canadian Stocks","year":2003,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":411,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Price discovery; Stock exchange; Sample (material); Share price; Economics; Financial economics; Monetary economics; Business; Cross listing; Stock price; Stock (firearms); Econometrics; Geography; Finance; Chemistry; Biology; Series (stratigraphy)","score_opus":0.031228754546140384,"score_gpt":0.25895768908006994,"score_spread":0.22772893453392956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121029606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946898,0.00072572514,0.000083912135,0.0003061447,0.000009898403,0.000010450091,0.0017115651,0.000008239163,0.0024543041],"genre_scores_gemma":[0.997546,0.00032526915,0.000055114095,0.00004705391,0.0000122179035,0.0000027769393,0.0015288105,0.0000035628661,0.00047908555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814975,0.00010913282,0.00013322367,0.00022294221,0.0009387883,0.00044611178],"domain_scores_gemma":[0.97100025,0.004764555,0.013594983,0.0011927285,0.007283651,0.0021639096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016590552,0.00031695107,0.00050646235,0.004464008,0.0025810415,0.002164049,0.0011134424,0.00074400875,0.003114767],"category_scores_gemma":[0.015240833,0.00031968602,0.00044008452,0.009238855,0.0012926045,0.0008047589,0.001371409,0.0007214882,0.0002456258],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086784974,0.000021980231,0.99411184,0.00001963975,0.00007916707,0.00013932056,0.0005813669,0.00015855997,0.0001649118,0.00017952861,0.0007487925,0.0037080238],"study_design_scores_gemma":[0.0000052670457,0.000009365699,0.99828523,0.000010171559,0.00003208656,0.00005557549,0.00044380242,0.00030603565,0.00014181659,0.000030265272,0.0006683767,0.000011949474],"about_ca_topic_score_codex":0.9443739,"about_ca_topic_score_gemma":0.9602398,"teacher_disagreement_score":0.055626094,"about_ca_system_score_codex":0.007193308,"about_ca_system_score_gemma":0.006259972,"threshold_uncertainty_score":0.1119073},"labels":[],"label_agreement":null},{"id":"W2121245328","doi":"","title":"General stable models of the rate of return to Hollywood films","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Skewness; Exponent; Variance (accounting); Distribution (mathematics); Dispersion (optics); Normal distribution; Mathematics; Stable distribution; Econometrics; Statistical physics; Economics; Statistics; Physics; Mathematical analysis; Optics","score_opus":0.052829700835632674,"score_gpt":0.269734830087167,"score_spread":0.2169051292515343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121245328","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19154973,0.0009614897,0.78507715,0.0020874948,0.0000848508,0.00028619496,0.0012186165,0.00067145657,0.01806301],"genre_scores_gemma":[0.9392914,0.0013833033,0.028370071,0.00022361982,0.00012047151,0.0004425994,0.00084717234,0.0002509975,0.029070374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810433,0.0005729154,0.00009326663,0.00047153712,0.00037841478,0.00037952594],"domain_scores_gemma":[0.98432934,0.009048524,0.0028877526,0.001584354,0.0016042304,0.0005457919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007745012,0.0015023649,0.0013763091,0.003155486,0.0005897271,0.0039114426,0.0040500006,0.002297316,0.011755016],"category_scores_gemma":[0.035213858,0.0009536231,0.00226799,0.0022937406,0.002799063,0.0070322,0.0014938761,0.0023327598,0.0027310927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106211715,0.000074986994,0.0065842913,0.00009525879,0.00009593782,0.0003313264,0.0006035983,0.2168919,0.0018117157,0.75418186,0.00284637,0.016376559],"study_design_scores_gemma":[0.00003548012,0.000051420142,0.004415383,0.000033465472,0.00003063026,0.00023693747,0.00013412627,0.6459517,0.00048511417,0.34705213,0.0015218079,0.000051872885],"about_ca_topic_score_codex":0.00896515,"about_ca_topic_score_gemma":0.004544647,"teacher_disagreement_score":0.011755016,"about_ca_system_score_codex":0.0027756921,"about_ca_system_score_gemma":0.0009352575,"threshold_uncertainty_score":0.040960014},"labels":[],"label_agreement":null},{"id":"W2121603097","doi":"10.1506/equa-nvj9-e712-ukbj","title":"Institutional Ownership and the Extent to which Stock Prices Reflect Future Earnings*","year":2002,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":451,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Institutional investor; Stock (firearms); Business; Monetary economics; Portfolio; Profitability index; Order (exchange); Earnings response coefficient; Financial economics; Economics; Finance; Corporate governance","score_opus":0.13053248791945968,"score_gpt":0.30102459342840526,"score_spread":0.17049210550894559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121603097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99668187,0.00020982444,0.0004689672,0.00018572863,0.0000067028204,0.0000027982126,0.00012072507,0.00001244493,0.0023110257],"genre_scores_gemma":[0.99956506,0.00006920608,0.000051475523,0.000007854084,0.000014229562,8.0459654e-7,0.00004896941,0.0000014461856,0.00024093752],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996706,0.00007866156,0.00004978122,0.000052835,0.00008640938,0.00006172574],"domain_scores_gemma":[0.97215533,0.01017697,0.014468502,0.0010389739,0.001079167,0.0010810076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088244065,0.0001561377,0.00013174668,0.0008605419,0.00015671136,0.0010867573,0.00029970004,0.00039479198,0.0053091473],"category_scores_gemma":[0.01636161,0.00012826074,0.00014811121,0.0009286671,0.00048558819,0.0013169803,0.00046441774,0.00036264092,0.00054690085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080917336,0.00005675124,0.9904118,0.000008924677,0.00006226256,0.00010134384,0.000057881483,0.0014552508,0.00044075464,0.00068206683,0.00022007845,0.0064219637],"study_design_scores_gemma":[0.0000056138974,0.00004802341,0.99419665,0.000009223458,0.000027278727,0.000118216754,0.00014314763,0.003326602,0.00047971227,0.0013195473,0.00032006524,0.0000058500077],"about_ca_topic_score_codex":0.002530181,"about_ca_topic_score_gemma":0.002618508,"teacher_disagreement_score":0.0053091473,"about_ca_system_score_codex":0.00031234592,"about_ca_system_score_gemma":0.00017501647,"threshold_uncertainty_score":0.017760813},"labels":[],"label_agreement":null},{"id":"W2121639772","doi":"10.1111/j.1911-3846.2011.01147.x","title":"Does Information Asymmetry Matter to Equity Pricing? Evidence from Firms’ Geographic Location*","year":2011,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Queen's University; Memorial University of Newfoundland; University of Alberta","funders":"","keywords":"Information asymmetry; Equity (law); Business; Endogeneity; Capital asset pricing model; Equity capital markets; Equity risk; Corporate governance; Finance; Financial economics; Economics; Econometrics; Valuation (finance)","score_opus":0.13346560331230722,"score_gpt":0.31129261476445785,"score_spread":0.17782701145215063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121639772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906561,0.00078307826,0.0013335812,0.0010180529,0.000009796854,0.000007950057,0.00022025367,0.0000087191065,0.005962569],"genre_scores_gemma":[0.99961936,0.00012328802,0.000055300006,0.000023839375,0.000016932012,7.5539083e-7,0.000041662537,0.0000012438669,0.00011759065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988919,0.0004355127,0.00010281693,0.00015492458,0.00026611466,0.0001487605],"domain_scores_gemma":[0.9285438,0.032037906,0.030777432,0.00379085,0.0029150348,0.0019349485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020322052,0.00020125193,0.00043139147,0.001410386,0.00035261372,0.0021520548,0.0004709633,0.000794607,0.0049084835],"category_scores_gemma":[0.024797503,0.00020006305,0.00042941718,0.0021166287,0.0011975551,0.0024632695,0.0012255003,0.00074048655,0.00041192444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005520529,0.00012526463,0.9582217,0.000089825,0.00028436826,0.00037497733,0.0005279155,0.0038499555,0.0006352658,0.01119245,0.0007946864,0.02335151],"study_design_scores_gemma":[0.00009574618,0.00018358887,0.95996535,0.00008553868,0.00032265528,0.00027845224,0.0014934085,0.009741182,0.0011593014,0.024089685,0.0025413341,0.00004381799],"about_ca_topic_score_codex":0.0045695114,"about_ca_topic_score_gemma":0.0030667463,"teacher_disagreement_score":0.0049084835,"about_ca_system_score_codex":0.0005485012,"about_ca_system_score_gemma":0.00030229162,"threshold_uncertainty_score":0.016420484},"labels":[],"label_agreement":null},{"id":"W2121705336","doi":"10.1017/s0022109009090097","title":"Stock and Bond Market Liquidity: A Long-Run Empirical Analysis","year":2009,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":269,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Market liquidity; Bond; Economics; Stock (firearms); Monetary economics; Treasury; Monetary policy; Bond market; Stock market; Finance","score_opus":0.05020184911439569,"score_gpt":0.29139956361868763,"score_spread":0.24119771450429195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121705336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99565613,0.0013105536,0.0007420198,0.00033359285,0.000010880637,0.000011537915,0.0007819067,0.000025204872,0.0011281776],"genre_scores_gemma":[0.99719656,0.0003520492,0.00015301131,0.00002773745,0.000044426262,0.000011013725,0.0013121682,0.0000068543654,0.0008962101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995983,0.00011531755,0.000043509328,0.00007108019,0.00008704734,0.000084778905],"domain_scores_gemma":[0.9860698,0.007796708,0.003447567,0.00045571028,0.00088732556,0.0013428162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024009598,0.0003100466,0.00064569013,0.0014821514,0.0005095061,0.0019398318,0.00066616375,0.0010286542,0.006453377],"category_scores_gemma":[0.010042485,0.00027053486,0.0008706901,0.0017907582,0.00067616143,0.0015782049,0.000975493,0.0019858624,0.0011020094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058643916,0.00040442465,0.9701441,0.00007004885,0.00052944856,0.0008820108,0.00029401213,0.009704461,0.00067597936,0.0029378217,0.0017691483,0.012002172],"study_design_scores_gemma":[0.00008922669,0.0005357039,0.91051567,0.000074982156,0.00048652396,0.0006344531,0.0006273307,0.077907436,0.000607708,0.0054919543,0.0029754618,0.000053518685],"about_ca_topic_score_codex":0.0060507474,"about_ca_topic_score_gemma":0.0048811724,"teacher_disagreement_score":0.006453377,"about_ca_system_score_codex":0.00063705037,"about_ca_system_score_gemma":0.00049657386,"threshold_uncertainty_score":0.021588683},"labels":[],"label_agreement":null},{"id":"W2121792043","doi":"10.5539/ijef.v5n12p63","title":"Stock Prices and Consumption: Sub-Sahara African Experience","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Stock (firearms); Stock market; Disequilibrium; Consumption (sociology); Econometrics; Dividend yield; Leverage (statistics); Monetary economics; Panel data; Yield (engineering); Dividend; Financial economics; Dividend policy","score_opus":0.03288318364060805,"score_gpt":0.22829012613897934,"score_spread":0.1954069424983713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121792043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941884,0.0017993404,0.00003419661,0.0005225327,0.000006503455,0.0000026102523,0.00011866261,6.946055e-7,0.003327044],"genre_scores_gemma":[0.9962147,0.0031118526,0.000026239184,0.00005107681,0.000011792385,0.0000015303889,0.000063584426,6.218362e-7,0.000518584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992406,0.000023947188,0.000006171145,0.0000078057765,0.000012878906,0.000025103787],"domain_scores_gemma":[0.999645,0.00012325626,0.00014398494,0.000014267513,0.000036062625,0.000037375023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024266903,0.00011004014,0.000160017,0.00049493875,0.00030599502,0.0005409038,0.00007872271,0.00016285904,0.0018124008],"category_scores_gemma":[0.0011869271,0.000096058255,0.00009654036,0.001467493,0.00026142824,0.00079926255,0.00036019305,0.00036252424,0.00012515955],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001478898,0.00010226019,0.9157817,0.00013895161,0.00008633941,0.0019062149,0.027709357,0.00026249958,0.00068563,0.005186714,0.0016575491,0.046334922],"study_design_scores_gemma":[0.000006504717,0.00006027414,0.9631406,0.00012291902,0.000039218256,0.0006826784,0.018929917,0.00040997166,0.00031216553,0.00072438765,0.015561912,0.00000938497],"about_ca_topic_score_codex":0.009518983,"about_ca_topic_score_gemma":0.011353768,"teacher_disagreement_score":0.009518983,"about_ca_system_score_codex":0.00025199275,"about_ca_system_score_gemma":0.00020719603,"threshold_uncertainty_score":0.018927157},"labels":[],"label_agreement":null},{"id":"W2122215342","doi":"10.5430/ijfr.v6n2p95","title":"Workplace Fund Performance: Luck or Skill?","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Luck; Statistic; Stock (firearms); Econometrics; Mutual fund; Distribution (mathematics); Actuarial science; Economics; Business; Statistics; Finance; Mathematics; Theology; Engineering","score_opus":0.22263105828869412,"score_gpt":0.37665881473246277,"score_spread":0.15402775644376865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122215342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939681,0.00024879468,0.0017334704,0.00035678642,0.000017907016,0.000010456142,0.000051779854,0.000024307874,0.0035883454],"genre_scores_gemma":[0.999215,0.00004146319,0.00027277248,0.000030572515,0.000015602987,0.0000027936812,0.000020394587,0.0000027884378,0.0003985807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986965,0.00031445385,0.00009690272,0.00016683277,0.0005421756,0.0001831454],"domain_scores_gemma":[0.98519903,0.005733471,0.005945369,0.00078834663,0.0010235545,0.0013102391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033307406,0.00022584337,0.00033940224,0.0006813399,0.000247309,0.0011370898,0.00027266392,0.00042690075,0.0029365988],"category_scores_gemma":[0.018953336,0.000065048014,0.00020648527,0.00036956745,0.00079907407,0.0008814524,0.00071626826,0.0003888738,0.00058100885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055126805,0.0003559252,0.9012681,0.000097054275,0.00014865746,0.00056656863,0.00073970424,0.0029358135,0.0030575416,0.0023967926,0.0005574546,0.08732505],"study_design_scores_gemma":[0.000025754976,0.0021673401,0.9775624,0.00007238208,0.0000706486,0.0009458585,0.0013041666,0.007312099,0.0044897567,0.003864782,0.0021417192,0.000043095657],"about_ca_topic_score_codex":0.0005772581,"about_ca_topic_score_gemma":0.0006481094,"teacher_disagreement_score":0.0033307406,"about_ca_system_score_codex":0.00041094646,"about_ca_system_score_gemma":0.0003572258,"threshold_uncertainty_score":0.017614841},"labels":[],"label_agreement":null},{"id":"W2122245002","doi":"10.3390/jrfm5010059","title":"The Behaviour of Small Investors in the Hong Kong Derivatives Markets: A Factor Analysis","year":2012,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial crisis; Exploratory factor analysis; Financial market; Business; Financial economics; Finance; Economics; Marketing; Macroeconomics","score_opus":0.02388724189604221,"score_gpt":0.21202268043696584,"score_spread":0.18813543854092363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122245002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99970156,0.000015288562,0.00005503328,0.000015012813,9.716466e-7,0.000008361994,0.000046143246,4.213777e-7,0.00015723385],"genre_scores_gemma":[0.9995689,0.00002679965,0.000070960654,0.0000060388784,0.0000016089913,0.0000066121884,0.00008530006,4.0468151e-7,0.00023343401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995577,0.00016249645,0.000049492726,0.0000548893,0.00007255698,0.00010287132],"domain_scores_gemma":[0.99684155,0.0012126515,0.00086089846,0.00015990894,0.00047669795,0.00044823458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014080965,0.0003000151,0.00033055208,0.00095675595,0.00045586462,0.0011476104,0.00021634677,0.00021884218,0.0013780121],"category_scores_gemma":[0.0026293008,0.00015623868,0.0004307511,0.001321972,0.0004908127,0.00056866126,0.00050102524,0.000317848,0.00017931823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007885276,0.00006636523,0.99246526,0.000011555733,0.000052801235,0.0001354924,0.0025809438,0.0003662711,0.00024975612,0.000069803005,0.000103451115,0.0038194798],"study_design_scores_gemma":[0.0000029433018,0.00006494368,0.9935082,0.0000074304967,0.000018658955,0.000026037904,0.00427342,0.0017645065,0.00007932359,0.000028943656,0.00021813625,0.0000075272605],"about_ca_topic_score_codex":0.06512091,"about_ca_topic_score_gemma":0.05687532,"teacher_disagreement_score":0.06512091,"about_ca_system_score_codex":0.0008884286,"about_ca_system_score_gemma":0.0008896061,"threshold_uncertainty_score":0.1294837},"labels":[],"label_agreement":null},{"id":"W2122298188","doi":"10.1111/j.1540-6261.2011.01671.x","title":"Presidential Address: Discount Rates","year":2011,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2288,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Capital asset pricing model; Economics; Variation (astronomy); Financial economics; Econometrics; Portfolio; Dividend; Cash flow; Modern portfolio theory; Capital budgeting; Microeconomics; Finance","score_opus":0.054916060317251235,"score_gpt":0.22766258764297936,"score_spread":0.17274652732572812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122298188","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018935268,0.016368594,0.0012746244,0.096431874,0.06571915,0.00011032474,0.0031396481,0.0004907909,0.81457144],"genre_scores_gemma":[0.021003421,0.009782761,0.0004880647,0.0047569415,0.024314724,0.00007138873,0.0006735325,0.00026311923,0.938646],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99906725,0.00011487046,0.00008649528,0.00023657581,0.00036530904,0.00012960701],"domain_scores_gemma":[0.9966294,0.0007559595,0.00028241338,0.0002657404,0.0015165893,0.0005498498],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011898215,0.0008619036,0.00087500905,0.00083284214,0.0014017907,0.0041993773,0.0007443034,0.003233666,0.45086828],"category_scores_gemma":[0.006902073,0.00025786328,0.0004106307,0.00088185066,0.0004987871,0.0024674044,0.0010152332,0.003811212,0.30589014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056539648,0.000026138669,0.00026940805,0.00008616779,0.000003904924,0.000057138393,0.000039840404,0.0000733447,0.0001657663,0.02134874,0.93272203,0.04515111],"study_design_scores_gemma":[0.000007996019,0.000012178214,0.00026271038,0.000076030854,0.0000024217045,0.000050964536,0.000021303389,0.00007879342,0.000115873736,0.002175858,0.99719054,0.0000054177917],"about_ca_topic_score_codex":0.001152464,"about_ca_topic_score_gemma":0.0013850604,"teacher_disagreement_score":0.45086828,"about_ca_system_score_codex":0.0014161019,"about_ca_system_score_gemma":0.0010149655,"threshold_uncertainty_score":0.78326976},"labels":[],"label_agreement":null},{"id":"W2122336029","doi":"10.1016/j.jbankfin.2003.05.006","title":"The unintended consequences of grouping in tests of asset pricing models","year":2004,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Simon Fraser University","keywords":"Capital asset pricing model; Economics; Portfolio; Econometrics; Value (mathematics); Asset (computer security); Regression; Actuarial science; Unintended consequences; Consumption-based capital asset pricing model; Financial economics; Statistics; Mathematics; Computer science","score_opus":0.039548015966255484,"score_gpt":0.23675996304428962,"score_spread":0.19721194707803413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122336029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85023725,0.0015986578,0.12574187,0.007830182,0.0009830202,0.0003678212,0.0011013001,0.0012280173,0.010911806],"genre_scores_gemma":[0.9710971,0.00010715492,0.025078423,0.0015923734,0.00030299425,0.00021206458,0.00061212707,0.00018462553,0.0008130763],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.73639,0.21781802,0.011659911,0.01599602,0.013952189,0.00418384],"domain_scores_gemma":[0.17012285,0.70804787,0.030449416,0.08208105,0.005475072,0.0038236913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.17877616,0.0015778646,0.0043859812,0.0026745852,0.00513472,0.004671193,0.0040583294,0.0066067907,0.0028113774],"category_scores_gemma":[0.57080877,0.0016786316,0.002550358,0.0047672,0.01162891,0.009016499,0.0071569956,0.0075717857,0.0009838045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013408368,0.0017376515,0.54029834,0.0005634232,0.004618698,0.0034540952,0.006217386,0.06479214,0.006230834,0.08283489,0.02562136,0.25022295],"study_design_scores_gemma":[0.0012803834,0.0020454118,0.14661628,0.0002688752,0.0011969667,0.0022412657,0.0024704468,0.12183376,0.010784676,0.703469,0.0074870093,0.00030589307],"about_ca_topic_score_codex":0.0025239019,"about_ca_topic_score_gemma":0.0036988035,"teacher_disagreement_score":0.17877616,"about_ca_system_score_codex":0.0016730082,"about_ca_system_score_gemma":0.001962276,"threshold_uncertainty_score":0.94547},"labels":[],"label_agreement":null},{"id":"W2122554451","doi":"10.5539/ijef.v4n7p141","title":"An Empirical Investigation of the Day-of- the-Week Effect on Stock Returns and Volatility: Evidence from Muscat Securities Market","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Autoregressive conditional heteroskedasticity; Economics; Volatility (finance); Stock market; Stock (firearms); Empirical evidence; Financial economics; Names of the days of the week; Recession; Monetary economics; Econometrics; Keynesian economics; Geography","score_opus":0.04289851130688431,"score_gpt":0.2543831332539926,"score_spread":0.21148462194710826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122554451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986552,0.00019067491,0.00007989385,0.00010156302,0.0000036141973,0.0000038733724,0.0001470196,0.000004819456,0.0008133612],"genre_scores_gemma":[0.9991462,0.00017386075,0.00007215167,0.000024237977,0.000024011953,0.0000024531018,0.00033713126,0.0000032906119,0.00021671024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953616,0.00011112084,0.000040255316,0.000081374295,0.00016664597,0.000064412416],"domain_scores_gemma":[0.9913464,0.0032129101,0.003926621,0.0005289267,0.000515132,0.00047004435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009523669,0.0001677634,0.00029006074,0.0010028152,0.00024289473,0.00071595254,0.00036833197,0.0004939872,0.001332751],"category_scores_gemma":[0.0048184954,0.00013561954,0.00033035802,0.0012699559,0.00038146714,0.0006115734,0.00043197256,0.0005073611,0.00024958278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029148615,0.00015419124,0.9874379,0.000052300373,0.00014679591,0.00057693187,0.00053868815,0.00041168378,0.0019510011,0.00056066224,0.0006384092,0.0072399885],"study_design_scores_gemma":[0.000004616983,0.00007197094,0.9977761,0.000005583407,0.000035869096,0.00012028429,0.00021066186,0.00088562205,0.00029579818,0.00006819123,0.00051953,0.000005842339],"about_ca_topic_score_codex":0.004512157,"about_ca_topic_score_gemma":0.007197756,"teacher_disagreement_score":0.004512157,"about_ca_system_score_codex":0.00032929613,"about_ca_system_score_gemma":0.00031637328,"threshold_uncertainty_score":0.00897181},"labels":[],"label_agreement":null},{"id":"W2122636668","doi":"10.2139/ssrn.811545","title":"Trusting the Stock Market","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":173,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Stock market; Geography","score_opus":0.017544142155565767,"score_gpt":0.21556596642852202,"score_spread":0.19802182427295625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122636668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5170268,0.0029498383,0.022365117,0.039701313,0.0007307179,0.000049723676,0.0003065532,0.00022008027,0.41664988],"genre_scores_gemma":[0.98751205,0.0004224815,0.000335686,0.0004092514,0.00013741136,0.000004032482,0.000027455892,0.000014130521,0.011137467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99887997,0.0003608329,0.00006572578,0.00017279499,0.00031214443,0.00020852618],"domain_scores_gemma":[0.9839617,0.0061223474,0.0039367243,0.0027267893,0.001933384,0.0013190067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025134531,0.000180893,0.00035813454,0.00058703474,0.0008988142,0.004582413,0.000444012,0.002202193,0.01694758],"category_scores_gemma":[0.02564466,0.00021088024,0.00020033144,0.00045496188,0.0015648834,0.006892539,0.0013036359,0.0017637719,0.0020416763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044858575,0.00013274341,0.04216549,0.0001171642,0.00015527419,0.0013197154,0.002771776,0.0045934003,0.0025492348,0.7942348,0.028317764,0.123194],"study_design_scores_gemma":[0.00009294064,0.00019421027,0.028375683,0.00010403221,0.00011820534,0.00083859364,0.0023215115,0.0259291,0.0022592742,0.844472,0.095225774,0.000068732115],"about_ca_topic_score_codex":0.0043253987,"about_ca_topic_score_gemma":0.003249344,"teacher_disagreement_score":0.01694758,"about_ca_system_score_codex":0.0013139747,"about_ca_system_score_gemma":0.0010801125,"threshold_uncertainty_score":0.056695282},"labels":[],"label_agreement":null},{"id":"W2123150458","doi":"10.2139/ssrn.1136332","title":"Marketing and Firm Value: Metrics, Methods, Findings, and Future Directions","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":113,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Value (mathematics); Marketing; Business; Mathematics; Statistics","score_opus":0.01813619005509829,"score_gpt":0.23824885364240148,"score_spread":0.2201126635873032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123150458","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36490804,0.35851967,0.08626877,0.07934767,0.0017080472,0.000576312,0.004494557,0.0003733498,0.103803694],"genre_scores_gemma":[0.9057265,0.05015193,0.035945233,0.0015726509,0.0018399254,0.00025180692,0.00069687294,0.00008525178,0.0037297402],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9887256,0.007466755,0.0005341037,0.00068174506,0.0023255753,0.0002662658],"domain_scores_gemma":[0.90241677,0.07123726,0.0097129615,0.003504912,0.010966631,0.002161483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020406585,0.00091221905,0.00090329576,0.012097291,0.00065462297,0.008315672,0.0013139267,0.0012425138,0.0060346257],"category_scores_gemma":[0.054603998,0.0002996452,0.00071349065,0.024748428,0.0024346472,0.011457104,0.0018279064,0.001869939,0.000680293],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019974793,0.0002837866,0.3946711,0.0012577766,0.0003447491,0.000051761974,0.0012340236,0.0010084249,0.00030061635,0.06306846,0.007215378,0.53036404],"study_design_scores_gemma":[0.00004970991,0.0005733024,0.6644384,0.0040226555,0.0004860534,0.0006290221,0.009393362,0.01646927,0.0017861793,0.23582548,0.06613717,0.0001893733],"about_ca_topic_score_codex":0.00651845,"about_ca_topic_score_gemma":0.007920069,"teacher_disagreement_score":0.020406585,"about_ca_system_score_codex":0.0034542212,"about_ca_system_score_gemma":0.0030983267,"threshold_uncertainty_score":0.10792166},"labels":[],"label_agreement":null},{"id":"W2123286055","doi":"10.5539/ijef.v3n1p92","title":"Evidence on a New Stock Trading Rule that Produces Higher Returns with Lower Risk","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Financial economics; Equity (law); Volatility (finance); Stock (firearms); Portfolio; Algorithmic trading; Stock market; Maxima and minima; Trading strategy; Systematic risk; Common stock; Econometrics; Mathematics","score_opus":0.09098285831316302,"score_gpt":0.23076870321332413,"score_spread":0.1397858449001611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123286055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8928558,0.002564726,0.0363595,0.005020302,0.00078383076,0.00008585157,0.0010605061,0.00042493796,0.060844526],"genre_scores_gemma":[0.98260593,0.0006932321,0.009909805,0.0011277975,0.0002673438,0.000022894415,0.00059928134,0.000094057235,0.0046797255],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988004,0.00016917616,0.00018072434,0.00035062223,0.0004315963,0.000067485336],"domain_scores_gemma":[0.9837172,0.0074775536,0.0028385706,0.0035439085,0.0018272956,0.00059546734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029250737,0.00034541913,0.00046610858,0.00066116196,0.00036234525,0.0018616377,0.0005842956,0.0010614182,0.00607055],"category_scores_gemma":[0.018711183,0.00020718914,0.0006219133,0.00039021773,0.00088326214,0.0015680447,0.0004589888,0.0011236677,0.0019450234],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040499135,0.002010061,0.30823243,0.0009788523,0.001522327,0.0025176506,0.0008002381,0.011577882,0.104344815,0.10728905,0.020786472,0.43589023],"study_design_scores_gemma":[0.0011711235,0.0029683954,0.69156754,0.00026220706,0.0009819992,0.005912125,0.00036199758,0.039206035,0.07025686,0.1329743,0.0540259,0.00031149143],"about_ca_topic_score_codex":0.0008150269,"about_ca_topic_score_gemma":0.00069594407,"teacher_disagreement_score":0.00607055,"about_ca_system_score_codex":0.00028279875,"about_ca_system_score_gemma":0.00028524612,"threshold_uncertainty_score":0.020308018},"labels":[],"label_agreement":null},{"id":"W2123331058","doi":"10.2139/ssrn.2029984","title":"Short-Term Momentum and Reversals in Large Stocks","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Term (time); Momentum (technical analysis); Geology; Economics; Geophysics; Physics; Financial economics; Astronomy","score_opus":0.01741712121499511,"score_gpt":0.2240918399694438,"score_spread":0.20667471875444868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123331058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982418,0.00014017914,0.0002123828,0.00011381765,0.000011166812,0.0000027810445,0.0000747473,0.000010606235,0.0011924411],"genre_scores_gemma":[0.9992816,0.000058954287,0.000052500774,0.000007914157,0.000014115603,0.0000011271593,0.00008988554,0.0000029598466,0.00049100124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989355,0.000016294502,0.0000130783255,0.000018447969,0.000028434979,0.000030150037],"domain_scores_gemma":[0.995027,0.0019167832,0.0018014937,0.00025489816,0.0004349571,0.00056481507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006640457,0.00017879767,0.0002450062,0.0007912886,0.0003243159,0.0012706195,0.00028976082,0.00054764264,0.0039382214],"category_scores_gemma":[0.009705505,0.00019286567,0.00019542112,0.0005941998,0.00037445972,0.0011386458,0.00037383946,0.00063670316,0.00040427622],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023360266,0.00057175563,0.90728724,0.0000839341,0.00015662856,0.003225814,0.0005694106,0.010317001,0.011176874,0.015440628,0.0026479461,0.046186805],"study_design_scores_gemma":[0.00007151146,0.00031309482,0.94985014,0.000022144855,0.00006147067,0.0009479496,0.0007213298,0.029316086,0.00165507,0.016206723,0.0007927107,0.00004187257],"about_ca_topic_score_codex":0.0028585708,"about_ca_topic_score_gemma":0.0034421205,"teacher_disagreement_score":0.0039382214,"about_ca_system_score_codex":0.0003220884,"about_ca_system_score_gemma":0.0002830318,"threshold_uncertainty_score":0.013174713},"labels":[],"label_agreement":null},{"id":"W2123660559","doi":"10.2139/ssrn.1359325","title":"Growth Opportunities, Investment-Specific Technology Shocks and Asset Prices","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Monetary economics; Investment (military); Asset (computer security); Economics; Business; Financial economics; Computer science","score_opus":0.0278364935960652,"score_gpt":0.20743714901930985,"score_spread":0.17960065542324466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123660559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99096686,0.00078030425,0.0014753925,0.00097583904,0.000015992613,0.000008019596,0.00038651776,0.00002624228,0.005364917],"genre_scores_gemma":[0.99735934,0.00054788927,0.00009056202,0.000030757157,0.000027479662,0.0000029844298,0.00019145798,0.0000049052373,0.0017446493],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985754,0.000032936536,0.000011568053,0.000019450854,0.000021324522,0.00005717306],"domain_scores_gemma":[0.9941369,0.0033626482,0.0016850594,0.00011066202,0.00012791425,0.0005768002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007049741,0.00026975782,0.00032390706,0.0007153517,0.00024246807,0.0026632422,0.0002544949,0.0014967439,0.0075536547],"category_scores_gemma":[0.005925017,0.00022733168,0.00027739073,0.0013994151,0.00062028307,0.0021821754,0.0008100102,0.0012880475,0.00092023466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015390526,0.0004809966,0.8298669,0.00018306157,0.000281084,0.00257435,0.0006493018,0.046580598,0.0037570281,0.0711303,0.003835604,0.03912185],"study_design_scores_gemma":[0.00009515627,0.00032585536,0.832057,0.000056957666,0.00016061887,0.00089816557,0.0013346921,0.037511416,0.0012866929,0.12227491,0.0039430032,0.000055574656],"about_ca_topic_score_codex":0.0016969218,"about_ca_topic_score_gemma":0.0032866034,"teacher_disagreement_score":0.0075536547,"about_ca_system_score_codex":0.00047382087,"about_ca_system_score_gemma":0.0003003282,"threshold_uncertainty_score":0.025269508},"labels":[],"label_agreement":null},{"id":"W2123845727","doi":"10.1287/mnsc.1110.1427","title":"Calendar Cycles, Infrequent Decisions, and the Cross Section of Stock Returns","year":2011,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"Hong Kong Polytechnic University","keywords":"Stylized fact; Economics; Capital asset pricing model; Interim; Financial economics; Consumption (sociology); Stock (firearms); Monetary economics; Finance; Macroeconomics","score_opus":0.05390811798825154,"score_gpt":0.24164521684151652,"score_spread":0.18773709885326498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123845727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97767365,0.0018313634,0.013406337,0.0008219108,0.000048731486,0.000025352667,0.0007406931,0.0000724511,0.0053795176],"genre_scores_gemma":[0.9972204,0.0006181052,0.00037027098,0.000038724196,0.00005420334,0.000010203814,0.00027167064,0.000008689795,0.0014077323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964154,0.00009962066,0.00002755037,0.00009152663,0.000056911147,0.00008283904],"domain_scores_gemma":[0.9728895,0.010753785,0.013775351,0.001178025,0.0004750253,0.0009284056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021515223,0.0003178159,0.00048296756,0.0008679173,0.00041439236,0.002153788,0.00052026205,0.0007406472,0.0057593286],"category_scores_gemma":[0.02040738,0.00026739304,0.00041907644,0.0017850387,0.0006262479,0.0013903036,0.00059662695,0.0009949,0.0005183776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049225986,0.0001869955,0.8450554,0.000118989614,0.00050966267,0.0008999767,0.0005636676,0.036240164,0.001247327,0.06373461,0.0040631196,0.046887904],"study_design_scores_gemma":[0.00006476942,0.00018772525,0.7459737,0.000054388707,0.00037738399,0.0006469598,0.00034188584,0.17587982,0.0007647581,0.07049155,0.005130873,0.00008608486],"about_ca_topic_score_codex":0.00551114,"about_ca_topic_score_gemma":0.005763355,"teacher_disagreement_score":0.0057593286,"about_ca_system_score_codex":0.0006125654,"about_ca_system_score_gemma":0.00038597695,"threshold_uncertainty_score":0.019266844},"labels":[],"label_agreement":null},{"id":"W2124270408","doi":"10.2139/ssrn.1466356","title":"Does the Accrual Anomaly End When Abnormal Accruals Reverse?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Accrual; Business; Anomaly (physics); Accounting; Earnings","score_opus":0.025372802278272526,"score_gpt":0.19854125033365555,"score_spread":0.17316844805538303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124270408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8912304,0.0035460226,0.012616156,0.03757608,0.0020472128,0.000056162728,0.00072532316,0.0009034935,0.051299173],"genre_scores_gemma":[0.9945057,0.00040671066,0.000898119,0.0011382451,0.0006784283,0.000007662296,0.00014431546,0.000092378985,0.0021283773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990963,0.00017767298,0.0001280397,0.00018645111,0.00021025291,0.00020142761],"domain_scores_gemma":[0.98522645,0.0039333976,0.0062786527,0.0017317638,0.001794944,0.0010347967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029969166,0.00025309314,0.0006685112,0.0009851449,0.00038002236,0.003338717,0.00066635996,0.0028031815,0.0072531574],"category_scores_gemma":[0.04351001,0.0002970715,0.00043507008,0.0005799552,0.0015449057,0.004116373,0.00085040485,0.0023662974,0.0032760953],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046714046,0.00081331586,0.52529985,0.0002867529,0.0002656124,0.007613414,0.0013165568,0.0023138188,0.01342153,0.14543933,0.032448586,0.26610997],"study_design_scores_gemma":[0.00045385625,0.00071302295,0.51526207,0.00026474296,0.00019929266,0.010882004,0.0028424142,0.015408391,0.009830928,0.4115516,0.032445412,0.00014633246],"about_ca_topic_score_codex":0.00085383735,"about_ca_topic_score_gemma":0.0004662981,"teacher_disagreement_score":0.0072531574,"about_ca_system_score_codex":0.00037821455,"about_ca_system_score_gemma":0.0007060152,"threshold_uncertainty_score":0.024264276},"labels":[],"label_agreement":null},{"id":"W2124304923","doi":"10.5267/j.msl.2012.11.025","title":"A study on relationship between tail risk on earning management in Iranian banking industry","year":2013,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Islamic Azad University","keywords":"Banking industry; Business; Operations management; Operational risk; Risk management; Industrial organization; Marketing; Risk analysis (engineering); Process management; Computer science; Accounting; Finance; Economics","score_opus":0.060401260692359064,"score_gpt":0.2473803378697189,"score_spread":0.18697907717735984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124304923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981336,0.00029762264,0.00022299304,0.00024071572,0.000003391377,0.0000060708408,0.000037482943,0.0000025595868,0.0010555236],"genre_scores_gemma":[0.9994419,0.0001384666,0.00009187071,0.0000223252,0.000010658931,0.0000019222953,0.00004566984,7.0691067e-7,0.00024650255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989267,0.0003373524,0.00008974392,0.00013128288,0.00027939968,0.00023555047],"domain_scores_gemma":[0.98113304,0.00810481,0.0070411502,0.0006038713,0.0018483158,0.0012688045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019174964,0.0002243817,0.0002709776,0.0011624525,0.00040340616,0.0008985342,0.00035034624,0.0004969498,0.0021029457],"category_scores_gemma":[0.009378386,0.000112707814,0.00056754204,0.0011927299,0.0004307905,0.0008656497,0.0004897318,0.0009610911,0.00021332095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040680858,0.000120132434,0.99066716,0.000012224071,0.00003810259,0.000096071584,0.00030917642,0.00041964583,0.000086145694,0.00026619446,0.00012723739,0.007817272],"study_design_scores_gemma":[0.0000021790372,0.000104372026,0.9971425,0.000012005146,0.000033389893,0.000062437546,0.000630802,0.0013578683,0.00010492202,0.00024292324,0.000301316,0.0000052180635],"about_ca_topic_score_codex":0.0065456247,"about_ca_topic_score_gemma":0.0057856143,"teacher_disagreement_score":0.0065456247,"about_ca_system_score_codex":0.0006230203,"about_ca_system_score_gemma":0.00082546246,"threshold_uncertainty_score":0.013015091},"labels":[],"label_agreement":null},{"id":"W2124513258","doi":"10.2139/ssrn.630622","title":"Cleaning a Passive Index: How to Use Portfolio Optimization to Satisfy CSR Constraints","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Index (typography); Corporate social responsibility; Portfolio; Portfolio optimization; Business; Computer science; Finance; Political science","score_opus":0.015635927995882277,"score_gpt":0.20544561790322433,"score_spread":0.18980968990734204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124513258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008137357,0.00006527488,0.9887905,0.0001896862,0.000045491095,0.000056331945,0.000072299095,0.0006771858,0.0019659062],"genre_scores_gemma":[0.11215043,0.00008801016,0.88359696,0.00017966781,0.00009318776,0.00013691915,0.00031916384,0.0006325501,0.0028031964],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989619,0.00034106718,0.00009780027,0.00016689654,0.0003421943,0.00009013788],"domain_scores_gemma":[0.99645126,0.0017817436,0.00022590671,0.000723229,0.00068900187,0.00012884635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003210857,0.0014464373,0.002152914,0.0014463608,0.00071068556,0.0019755438,0.0016927521,0.0017551893,0.011143289],"category_scores_gemma":[0.016052358,0.0010311592,0.001129095,0.0012679538,0.00062159303,0.0043188524,0.0021467377,0.002459944,0.0022973458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024025155,0.00032182958,0.0023331505,0.00020443801,0.00015832283,0.00017329097,0.00016331428,0.32827848,0.014928244,0.030214159,0.011613787,0.6113707],"study_design_scores_gemma":[0.000032301905,0.000068667476,0.0003610804,0.000014161648,0.000028188872,0.00005446268,0.00002961508,0.96472865,0.0043661133,0.027760442,0.0025381942,0.000018192486],"about_ca_topic_score_codex":0.0014863018,"about_ca_topic_score_gemma":0.0015285319,"teacher_disagreement_score":0.011143289,"about_ca_system_score_codex":0.00039664644,"about_ca_system_score_gemma":0.0011341268,"threshold_uncertainty_score":0.037278056},"labels":[],"label_agreement":null},{"id":"W2124777312","doi":"10.7202/602190ar","title":"Intégration des marchés boursiers d’Asie et des États-Unis","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.06277802462592764,"score_gpt":0.25720631235854624,"score_spread":0.1944282877326186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124777312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96029687,0.0019423988,0.009218888,0.00039933564,0.00004266036,0.00003599808,0.001958656,0.00008370011,0.026021387],"genre_scores_gemma":[0.98575157,0.00054041593,0.0043850713,0.000013923937,0.0000143989455,0.000028511788,0.0008790155,0.000033080436,0.008353941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817777,0.00047789447,0.00010668271,0.0003869135,0.00052624225,0.00032451344],"domain_scores_gemma":[0.99578553,0.0017601625,0.0008677748,0.00042790576,0.00084529904,0.00031335134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002004363,0.00042361955,0.00076327374,0.0036119574,0.0012247465,0.005679115,0.00051267067,0.00048348273,0.0110989455],"category_scores_gemma":[0.006171682,0.00040947553,0.0007862756,0.008900883,0.0008593418,0.0027640737,0.0012701548,0.0008929478,0.00095850736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082803384,0.00016359438,0.67316604,0.00030885058,0.0006938615,0.00081881013,0.02406897,0.030594045,0.0032241445,0.12221546,0.0027528678,0.14116527],"study_design_scores_gemma":[0.000039430553,0.00013710737,0.8450343,0.0001998429,0.00027187035,0.00042656093,0.018859474,0.033747744,0.0024669976,0.021474196,0.07721592,0.00012662234],"about_ca_topic_score_codex":0.12043525,"about_ca_topic_score_gemma":0.09851766,"teacher_disagreement_score":0.12043525,"about_ca_system_score_codex":0.0050399187,"about_ca_system_score_gemma":0.0017150529,"threshold_uncertainty_score":0.23946846},"labels":[],"label_agreement":null},{"id":"W2125003010","doi":"10.1590/s1415-65552006000400008","title":"Testando o CAPM condicional nos mercados brasileiro e norte-americano","year":2006,"lang":"pt","type":"article","venue":"Revista de Administração Contemporânea","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"March of Dimes Canada","funders":"","keywords":"Humanities; Capital asset pricing model; Economics; Physics; Philosophy; Psychology; Econometrics","score_opus":0.034629974296797,"score_gpt":0.2500279952390238,"score_spread":0.21539802094222682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125003010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8383723,0.0032353383,0.035128478,0.008273079,0.00024647755,0.0002938794,0.0023533143,0.0002585559,0.111838594],"genre_scores_gemma":[0.98304385,0.0008328003,0.008177688,0.00023168832,0.00003672665,0.00008081147,0.00049442676,0.000049323364,0.0070527783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980039,0.0008846922,0.000071031674,0.00044725247,0.00043510395,0.00015800902],"domain_scores_gemma":[0.9896432,0.0052140728,0.0011729242,0.0007986239,0.0027503786,0.00042084724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004824364,0.00050040096,0.00053518364,0.0013468362,0.0012028081,0.003342518,0.0009879002,0.0007822571,0.0063446546],"category_scores_gemma":[0.020975111,0.00031715454,0.0007600037,0.002993694,0.0014896443,0.0022081218,0.0010499832,0.0012135966,0.0005478306],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069217564,0.0003775091,0.5525629,0.0009485601,0.00074067933,0.00089720933,0.007242381,0.07577599,0.001626446,0.18168563,0.018055461,0.15939498],"study_design_scores_gemma":[0.00022327054,0.00082681794,0.50055283,0.0013230708,0.0013959861,0.00044577074,0.018529773,0.27874812,0.0028349983,0.09150928,0.10340892,0.00020104634],"about_ca_topic_score_codex":0.3011059,"about_ca_topic_score_gemma":0.338838,"teacher_disagreement_score":0.3011059,"about_ca_system_score_codex":0.005654608,"about_ca_system_score_gemma":0.005161278,"threshold_uncertainty_score":0.5987065},"labels":[],"label_agreement":null},{"id":"W2125133118","doi":"10.1111/j.0008-4085.2004.00002.x","title":"Direct sale of information when precision is unobservable","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unobservable; Incentive; Asset (computer security); Microeconomics; Rational expectations; Function (biology); Econometrics; Economics; Business; Computer science; Computer security","score_opus":0.10095531503798519,"score_gpt":0.1675370325230025,"score_spread":0.06658171748501732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125133118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.698324,0.0019689363,0.1891321,0.005732626,0.00016623775,0.00024734827,0.0006737812,0.00029061374,0.103464425],"genre_scores_gemma":[0.990853,0.00025659768,0.004388743,0.00011906063,0.00009793165,0.000021281205,0.000053865155,0.000016807422,0.0041927667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99615234,0.001231117,0.000285988,0.0006761026,0.0012153953,0.00043905538],"domain_scores_gemma":[0.9336935,0.043903165,0.010887743,0.00843945,0.002187842,0.00088833936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052699307,0.0004039164,0.0011502655,0.0007904868,0.00072396663,0.0043928996,0.0014111323,0.0033341867,0.01632747],"category_scores_gemma":[0.037929464,0.0008134313,0.000628707,0.00085456175,0.0028507444,0.007837202,0.0021737278,0.00279523,0.0013381947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002085381,0.0006611183,0.027814677,0.0007922695,0.00026994132,0.0022944533,0.0014367678,0.028635463,0.01736386,0.81301236,0.0036942011,0.10193958],"study_design_scores_gemma":[0.0005456496,0.0007305384,0.01520624,0.00023296071,0.00016934841,0.0023958697,0.00060038775,0.12823445,0.012275313,0.82629615,0.013179998,0.00013319771],"about_ca_topic_score_codex":0.00066859595,"about_ca_topic_score_gemma":0.00040288005,"teacher_disagreement_score":0.01632747,"about_ca_system_score_codex":0.0012456534,"about_ca_system_score_gemma":0.0007340078,"threshold_uncertainty_score":0.054620802},"labels":[],"label_agreement":null},{"id":"W2125178716","doi":"10.5539/ijef.v2n2p78","title":"The Equity Home Bias: Explanations and Financial Anomalies","year":2010,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Capital asset pricing model; Portfolio; Financial economics; Economics; Transaction cost; Order (exchange); Financial market; Capital market; Financial asset; Exchange rate; Business; Finance; Monetary economics","score_opus":0.0368379775533454,"score_gpt":0.24135808842584233,"score_spread":0.20452011087249694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125178716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82491934,0.032676756,0.06787937,0.04638632,0.0004512072,0.00004261915,0.00066102156,0.00056244223,0.026420962],"genre_scores_gemma":[0.99293846,0.003806483,0.0015783482,0.00043189758,0.00041278944,0.000005679813,0.000098465884,0.000022801627,0.00070513686],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99934477,0.00017664234,0.000054664288,0.00011319588,0.00022711845,0.000083635365],"domain_scores_gemma":[0.9888793,0.0060810847,0.0034757329,0.0007846516,0.0005449843,0.00023429022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025912651,0.00028900348,0.00057877373,0.002197576,0.00034920912,0.0017192723,0.00081298617,0.0019392356,0.0028621762],"category_scores_gemma":[0.01631325,0.00025054242,0.0002875323,0.002444997,0.0023273274,0.004577791,0.0010599247,0.0014972835,0.00025511172],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004173488,0.00013176647,0.21543252,0.00043396,0.00016628829,0.002122389,0.0013615738,0.012366661,0.0016846817,0.6041254,0.014822238,0.14693516],"study_design_scores_gemma":[0.000043732052,0.000030504483,0.049885463,0.00008166966,0.000042933872,0.0010032281,0.00063141336,0.028179878,0.0008305175,0.9108018,0.008421727,0.00004706701],"about_ca_topic_score_codex":0.0017777535,"about_ca_topic_score_gemma":0.000939827,"teacher_disagreement_score":0.0028621762,"about_ca_system_score_codex":0.0009037081,"about_ca_system_score_gemma":0.0003090491,"threshold_uncertainty_score":0.013704121},"labels":[],"label_agreement":null},{"id":"W2125549657","doi":"10.1353/nin.2007.0014","title":"Toward the Barry Bonds Award","year":2007,"lang":"en","type":"article","venue":"Nine","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bond; Business; Finance","score_opus":0.04148336970497613,"score_gpt":0.22598242559276033,"score_spread":0.1844990558877842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125549657","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029354876,0.023772333,0.01954743,0.6462904,0.025758889,0.00004666776,0.00019398429,0.00014619804,0.2548892],"genre_scores_gemma":[0.48396388,0.013392184,0.010539044,0.047338434,0.011927003,0.00008199889,0.00014255734,0.00017094969,0.4324439],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99827373,0.0005807879,0.000060244,0.00018119357,0.00066097896,0.0002430641],"domain_scores_gemma":[0.9963786,0.0009286511,0.00025333924,0.00022761046,0.0009983536,0.0012134375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055026007,0.00041046276,0.00048769853,0.00090112776,0.0024582914,0.0064347023,0.00068841514,0.005813025,0.009734596],"category_scores_gemma":[0.016338687,0.00026333873,0.00029268948,0.0005033576,0.0027517567,0.005174595,0.0027456523,0.010338286,0.002654343],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009464081,0.00009038306,0.0009048668,0.00001589148,0.000010109914,0.000051876097,0.00017485108,0.00038726037,0.00012202987,0.77933216,0.17099608,0.047819845],"study_design_scores_gemma":[0.000038699054,0.000041708834,0.0013852554,0.000100755686,0.00001092958,0.000070362556,0.00023255909,0.0013170396,0.00028868887,0.5916861,0.40479934,0.000028491766],"about_ca_topic_score_codex":0.0042364565,"about_ca_topic_score_gemma":0.0064314837,"teacher_disagreement_score":0.009734596,"about_ca_system_score_codex":0.0021539573,"about_ca_system_score_gemma":0.0032907017,"threshold_uncertainty_score":0.032565475},"labels":[],"label_agreement":null},{"id":"W2125793408","doi":"10.1111/j.1540-5982.2009.01555.x","title":"Entry cost, the Tobin tax, and noise trading in the foreign exchange market","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Monetary economics; Volatility (finance); Economics; Database transaction; Transaction cost; Exchange rate; Business; Financial economics; Microeconomics","score_opus":0.10721218787909058,"score_gpt":0.17700459102266494,"score_spread":0.06979240314357436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125793408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807186,0.00042752316,0.009211477,0.0010869622,0.000031423402,0.00004209711,0.00007030984,0.000027766146,0.008383835],"genre_scores_gemma":[0.99792176,0.00013349489,0.00035888058,0.000054834072,0.000015614973,0.000005604956,0.000019662688,0.000003216532,0.0014870435],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992304,0.00025971973,0.00005180009,0.00009223081,0.00019088338,0.0001749776],"domain_scores_gemma":[0.9863165,0.007227863,0.004839022,0.00045502427,0.0004644391,0.00069716247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019678513,0.00036982968,0.0010725709,0.00064842735,0.0005114197,0.003456096,0.00049458083,0.0013976602,0.0055361176],"category_scores_gemma":[0.010781098,0.00026060577,0.00048521106,0.00063054386,0.0017495231,0.002617166,0.00097191037,0.0020489136,0.0002424445],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024388537,0.0014158089,0.20327803,0.00022183472,0.00035841615,0.0017517061,0.00083592575,0.2133334,0.0065048286,0.52632797,0.0032675331,0.040265646],"study_design_scores_gemma":[0.00080615416,0.0010931597,0.12987447,0.00019261024,0.0004022689,0.0007865407,0.0015176041,0.49229878,0.006432728,0.36173213,0.0046115387,0.00025199886],"about_ca_topic_score_codex":0.008580142,"about_ca_topic_score_gemma":0.0065065008,"teacher_disagreement_score":0.008580142,"about_ca_system_score_codex":0.0018495288,"about_ca_system_score_gemma":0.0014221253,"threshold_uncertainty_score":0.018520117},"labels":[],"label_agreement":null},{"id":"W2126015078","doi":"10.3386/w8654","title":"The Mysterious Growing Value of S&amp;P 500 Membership","year":2001,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Value (mathematics); Mathematics; Combinatorics; Statistics","score_opus":0.44911794375204,"score_gpt":0.4628734537510104,"score_spread":0.013755509998970405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126015078","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5515857,0.005148025,0.01509695,0.060449805,0.0007804,0.00004119661,0.00326045,0.00039141168,0.36324617],"genre_scores_gemma":[0.98168945,0.0014552501,0.0012066017,0.0005487802,0.0005725212,0.000008009026,0.0004645777,0.000036443354,0.01401852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993857,0.000066929155,0.000027120026,0.00012018502,0.00031428548,0.00008566854],"domain_scores_gemma":[0.996101,0.0012208581,0.0007534048,0.0004885519,0.000826786,0.00060934253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076521316,0.000118762146,0.00020543838,0.0010823574,0.00058389,0.0036996137,0.0005872734,0.00074377126,0.010141483],"category_scores_gemma":[0.011386631,0.00011774134,0.00009696835,0.0012230024,0.0014323177,0.0055018226,0.00080524915,0.0011077478,0.0021908393],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017425518,0.00007650331,0.07962215,0.00010997058,0.000027949594,0.000335179,0.0012197187,0.0015853661,0.003460173,0.5500006,0.072467774,0.29092026],"study_design_scores_gemma":[0.000027810092,0.0001520538,0.2138829,0.0001900089,0.000052228035,0.0016661433,0.003055661,0.010338809,0.008916314,0.5352762,0.22637674,0.000065223496],"about_ca_topic_score_codex":0.0020602588,"about_ca_topic_score_gemma":0.0018742961,"teacher_disagreement_score":0.010141483,"about_ca_system_score_codex":0.00097367825,"about_ca_system_score_gemma":0.00052018865,"threshold_uncertainty_score":0.033926666},"labels":[],"label_agreement":null},{"id":"W2126190725","doi":"10.2139/ssrn.2280145","title":"R2 and the Benefits of Multiple-Fund Portfolios","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Memorial University of Newfoundland","funders":"","keywords":"Business; Actuarial science; Computer science; Finance","score_opus":0.017590656536132017,"score_gpt":0.1948036237048158,"score_spread":0.1772129671686838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126190725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8604266,0.009219622,0.026763475,0.011456613,0.00021289138,0.000055062563,0.00035755566,0.00029404057,0.09121398],"genre_scores_gemma":[0.9952604,0.00036083034,0.0009422386,0.00012500516,0.000094545205,0.0000060299385,0.00002461333,0.000011672887,0.0031746952],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998256,0.0008750441,0.00010115923,0.00021632912,0.00031966218,0.00023181076],"domain_scores_gemma":[0.975774,0.014796067,0.004650808,0.0024302532,0.00097569387,0.0013732607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005509162,0.0005706743,0.00061842275,0.00071525155,0.0004389315,0.002446258,0.0007156068,0.0019009137,0.0076224655],"category_scores_gemma":[0.04103264,0.00018792263,0.00031888302,0.00062211487,0.0007640957,0.003872053,0.0015390371,0.0009312202,0.0007779648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005228338,0.000933692,0.091758296,0.0005497322,0.0006454455,0.0024684311,0.0007246119,0.077543214,0.005385416,0.40188923,0.013213959,0.39965972],"study_design_scores_gemma":[0.0008675549,0.0021346204,0.08480624,0.00017420102,0.0005871799,0.0033890721,0.001425515,0.09563996,0.0038109887,0.7835311,0.023508884,0.00012469574],"about_ca_topic_score_codex":0.0004911668,"about_ca_topic_score_gemma":0.00052219146,"teacher_disagreement_score":0.0076224655,"about_ca_system_score_codex":0.00061949756,"about_ca_system_score_gemma":0.00057534775,"threshold_uncertainty_score":0.029135585},"labels":[],"label_agreement":null},{"id":"W2126308825","doi":"10.2139/ssrn.676089","title":"Behavioral Heterogeneity in Stock Prices","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Economics; Stock (firearms); Econometrics; Financial economics; Geography","score_opus":0.02952839980596003,"score_gpt":0.2513266820555348,"score_spread":0.2217982822495748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126308825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99294394,0.0001302119,0.002683043,0.0006163003,0.000009604296,0.0000105405525,0.00012748202,0.000013366329,0.0034654664],"genre_scores_gemma":[0.999275,0.000035531193,0.00011630414,0.000046187648,0.000011374704,0.000003203567,0.00006484681,0.000002343793,0.00044521753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990571,0.00036844195,0.00007240426,0.0001867889,0.00017084312,0.00014441018],"domain_scores_gemma":[0.97602797,0.017166587,0.0033936154,0.0019474181,0.00071527064,0.00074917194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031903211,0.00017011652,0.0005712272,0.0008935554,0.0003305795,0.0020812133,0.00046064344,0.0012141474,0.005440322],"category_scores_gemma":[0.02121812,0.00037165533,0.00048744155,0.00067108206,0.00066834077,0.0017305071,0.00077759824,0.0010870192,0.00043589872],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085923314,0.0008031046,0.8396411,0.00011602049,0.0012773615,0.0004942403,0.001264143,0.017887762,0.006840452,0.092919044,0.0019627607,0.035934795],"study_design_scores_gemma":[0.00010875592,0.00017497657,0.8162895,0.000021464875,0.00033668647,0.00040745665,0.0012405532,0.049157266,0.00091002317,0.13036789,0.0009319356,0.00005349049],"about_ca_topic_score_codex":0.002149024,"about_ca_topic_score_gemma":0.0028941832,"teacher_disagreement_score":0.005440322,"about_ca_system_score_codex":0.00057020324,"about_ca_system_score_gemma":0.00025405586,"threshold_uncertainty_score":0.018199682},"labels":[],"label_agreement":null},{"id":"W2126457176","doi":"10.1080/09603100050031462","title":"Are forward premia mean reverting?","year":2000,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Mean reversion; Economics; Inefficiency; Econometrics; Financial economics; Risk premium; Microeconomics","score_opus":0.017445612197221086,"score_gpt":0.18452380921807893,"score_spread":0.16707819702085785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126457176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97036797,0.001332658,0.02014868,0.0016127338,0.00013336477,0.000054906308,0.0006558493,0.00021892489,0.0054750103],"genre_scores_gemma":[0.99575377,0.0004017298,0.0018934488,0.00017174226,0.00012529106,0.000020894991,0.00024028268,0.000028109429,0.0013648435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849653,0.00030138265,0.00015531451,0.000439736,0.00030957782,0.0002973966],"domain_scores_gemma":[0.9708329,0.0122690825,0.010729703,0.0041592647,0.0014340803,0.00057499774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060572005,0.000454723,0.0010299397,0.0010648044,0.00031564868,0.0025223515,0.0008303666,0.0013194563,0.0048168376],"category_scores_gemma":[0.037311625,0.00039605156,0.0009356741,0.0008636671,0.0018066654,0.0028646896,0.00062564266,0.001870913,0.001019841],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012890064,0.00043515835,0.5465157,0.00041373272,0.0011665467,0.0030836242,0.0015433672,0.009982915,0.017736008,0.17933647,0.00393217,0.23456524],"study_design_scores_gemma":[0.00020521556,0.0012062051,0.6442172,0.00016506384,0.0007158848,0.0056468877,0.0006525333,0.058373928,0.02398823,0.252919,0.011687607,0.00022225891],"about_ca_topic_score_codex":0.0008327913,"about_ca_topic_score_gemma":0.00062989723,"teacher_disagreement_score":0.0060572005,"about_ca_system_score_codex":0.00055834395,"about_ca_system_score_gemma":0.00048205827,"threshold_uncertainty_score":0.03203392},"labels":[],"label_agreement":null},{"id":"W2127198260","doi":"10.2139/ssrn.615721","title":"Liquidity and The Law of One Price: The Case of the Cash/Futures Basis","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Futures contract; Arbitrage; Economics; Cash; Financial economics; Granger causality; Monetary economics; Liquidity risk; Algorithmic trading; Econometrics; Finance","score_opus":0.012851817269229302,"score_gpt":0.20143360862486762,"score_spread":0.18858179135563832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127198260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5248926,0.009717354,0.17235366,0.04117955,0.0008493671,0.00005153178,0.00024886878,0.0003063139,0.25040066],"genre_scores_gemma":[0.9870755,0.0010364298,0.004348679,0.00025970774,0.00047889812,0.000015726713,0.000017836903,0.000043053995,0.0067240284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991092,0.0003298977,0.000034071025,0.00012686574,0.0001797107,0.00022027541],"domain_scores_gemma":[0.9928692,0.005031318,0.0007701929,0.00058526755,0.0002955973,0.00044850275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029543962,0.00037288872,0.0010716384,0.0010050777,0.0018576293,0.005205203,0.0013150915,0.004085322,0.008756829],"category_scores_gemma":[0.015601673,0.0003924488,0.0007768295,0.0010333109,0.0069479826,0.011347101,0.0016354588,0.0049622073,0.000565754],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002668703,0.000011186237,0.00018244964,0.000008496182,0.0000038335156,0.00017058462,0.0000777838,0.0019808423,0.00010984128,0.9952792,0.00061834004,0.0015308113],"study_design_scores_gemma":[0.000020805643,0.00000829789,0.00017682806,0.000008004997,0.000004106391,0.00008804234,0.00004215737,0.013810498,0.00005662009,0.9850389,0.00073048053,0.000015203729],"about_ca_topic_score_codex":0.0043409783,"about_ca_topic_score_gemma":0.0021799838,"teacher_disagreement_score":0.008756829,"about_ca_system_score_codex":0.0013271252,"about_ca_system_score_gemma":0.001353218,"threshold_uncertainty_score":0.02929449},"labels":[],"label_agreement":null},{"id":"W2127347509","doi":"10.2139/ssrn.1319786","title":"Mutual Fund's R2 as Predictor of Performance","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mutual fund; Business; Actuarial science; Economics; Psychology; Econometrics; Finance","score_opus":0.03189045350368468,"score_gpt":0.19973660617564365,"score_spread":0.16784615267195896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127347509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99531376,0.000242015,0.00056861463,0.0003176831,0.00003573543,0.0000059273516,0.00060540775,0.00007118125,0.002839675],"genre_scores_gemma":[0.99862087,0.00003670278,0.00011521798,0.000016685315,0.000039112663,0.0000039179467,0.00029622935,0.000009858532,0.00086136005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983821,0.00065166655,0.00011155911,0.0002116606,0.00041461416,0.00022842556],"domain_scores_gemma":[0.97107756,0.018062297,0.0053875064,0.0011448571,0.0016261982,0.0027014622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00449149,0.00048134173,0.00047212976,0.0014292867,0.00026472198,0.0013202312,0.00039364744,0.0012109966,0.0028188666],"category_scores_gemma":[0.021072377,0.00012902988,0.0005058103,0.0009842068,0.00043088308,0.00090324454,0.00072430755,0.00085064356,0.0013649338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009818133,0.00015299041,0.9822091,0.00002377644,0.000317546,0.00016204144,0.00010313211,0.003424214,0.00073388655,0.0006021601,0.0022707724,0.0090185],"study_design_scores_gemma":[0.00006459447,0.00084330427,0.96898836,0.00002102083,0.0001937408,0.00058018544,0.00022513432,0.0243156,0.0018540295,0.00089070044,0.0019789238,0.000044292156],"about_ca_topic_score_codex":0.00252298,"about_ca_topic_score_gemma":0.0014140711,"teacher_disagreement_score":0.00449149,"about_ca_system_score_codex":0.0004200822,"about_ca_system_score_gemma":0.00071401236,"threshold_uncertainty_score":0.023753583},"labels":[],"label_agreement":null},{"id":"W2127847490","doi":"10.3905/jot.2007.694833","title":"Anonymity, Frontrunning and Market Integrity","year":2007,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Anonymity; Business; Blockchain; Internet privacy; Law and economics; Computer security; Computer science; Economics","score_opus":0.04047810773319774,"score_gpt":0.23399079254024652,"score_spread":0.19351268480704878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127847490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728478,0.0007395556,0.0043315743,0.0007902206,0.000015133015,0.000016008209,0.000091917995,0.000036113128,0.021131717],"genre_scores_gemma":[0.9984693,0.00008892941,0.00036614374,0.000019045307,0.000011886884,0.0000016773837,0.00002098385,0.0000035760404,0.0010185045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971282,0.0010322244,0.00025101093,0.00025143594,0.001016798,0.00032031297],"domain_scores_gemma":[0.9530825,0.018310362,0.019660598,0.0053199413,0.002320361,0.0013062515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025521927,0.00016111232,0.0003210072,0.0012166429,0.0013169992,0.0034770824,0.00046348438,0.0006675597,0.0047149397],"category_scores_gemma":[0.023027753,0.00016022084,0.00020982708,0.0011151094,0.0033972291,0.003412907,0.0014748563,0.0007271833,0.00040501298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020485823,0.00048377353,0.56881064,0.00031791153,0.00025571891,0.0015918486,0.018407801,0.00694428,0.00918692,0.13898134,0.0030636897,0.24990757],"study_design_scores_gemma":[0.00011751337,0.00071868504,0.7415917,0.0002558879,0.00020053968,0.0026768618,0.016238172,0.015869126,0.011367205,0.17682937,0.03392692,0.00020804918],"about_ca_topic_score_codex":0.0051111537,"about_ca_topic_score_gemma":0.005125409,"teacher_disagreement_score":0.0051111537,"about_ca_system_score_codex":0.0011085591,"about_ca_system_score_gemma":0.0010552538,"threshold_uncertainty_score":0.015773058},"labels":[],"label_agreement":null},{"id":"W2127998916","doi":"10.2139/ssrn.1628560","title":"Bank of Canada Communication, Media Coverage, and Financial Market Reactions","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Financial system; Finance","score_opus":0.015366433799271708,"score_gpt":0.17900520634609987,"score_spread":0.16363877254682815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127998916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71014696,0.01159843,0.00017316519,0.04189603,0.0005923359,0.00012689338,0.031793077,0.00007789736,0.2035952],"genre_scores_gemma":[0.9599353,0.004079893,0.00006983989,0.001330402,0.0002318748,0.000022988468,0.0029266262,0.000025616988,0.03137749],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985996,0.000114460076,0.00006572513,0.0000934759,0.0006373321,0.00048939773],"domain_scores_gemma":[0.9738168,0.007067146,0.0066749966,0.0003486131,0.008748351,0.0033441256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012700671,0.00022220968,0.00031675023,0.0035568716,0.0029153423,0.006429275,0.00065115833,0.0014458534,0.040281653],"category_scores_gemma":[0.020781528,0.00021125819,0.0002694175,0.0068441993,0.0009518584,0.0012455917,0.0006394095,0.0014319011,0.001819529],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010873153,0.00030445008,0.77225435,0.00032194986,0.00019581745,0.0005967928,0.0053944024,0.0010533431,0.00031410388,0.012978169,0.15226786,0.053231396],"study_design_scores_gemma":[0.000050623086,0.000037761616,0.94666815,0.00021944896,0.00010499266,0.00008938886,0.006790142,0.0005824368,0.00020798441,0.0005693778,0.04462057,0.00005912509],"about_ca_topic_score_codex":0.97597617,"about_ca_topic_score_gemma":0.9799502,"teacher_disagreement_score":0.040281653,"about_ca_system_score_codex":0.024008768,"about_ca_system_score_gemma":0.02430751,"threshold_uncertainty_score":0.1741966},"labels":[],"label_agreement":null},{"id":"W2128023144","doi":"10.2139/ssrn.280999","title":"Why Constrain Your Mutual Fund Manager?","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mutual fund; Business; Target date fund; Fund administration; Finance; Open-end fund; Investment fund; Corporate governance; Institutional investor","score_opus":0.03432937725757046,"score_gpt":0.2289443209734649,"score_spread":0.19461494371589444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128023144","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14348271,0.0061656614,0.006210417,0.6934714,0.0025900798,0.00006511987,0.0001743132,0.00039033382,0.14745],"genre_scores_gemma":[0.88384116,0.0018971006,0.0019169443,0.07972778,0.0016221255,0.0000800473,0.00007445698,0.0001571436,0.030683132],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955106,0.0021593824,0.00016537093,0.00036754357,0.0008315516,0.00096568215],"domain_scores_gemma":[0.9644854,0.010643313,0.0061611137,0.0011871469,0.0051713875,0.012351669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059272833,0.00022765921,0.00035342594,0.00072847825,0.0026987994,0.0072052325,0.00089929905,0.0048006135,0.018074967],"category_scores_gemma":[0.07760158,0.00025689203,0.0002002688,0.00055148324,0.0031464337,0.005741372,0.0019944867,0.004052396,0.0062522735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029682653,0.00027456981,0.05784605,0.00027038445,0.00012847577,0.0012736387,0.009927096,0.0005538619,0.0012019877,0.10060331,0.6414592,0.18616457],"study_design_scores_gemma":[0.000109272245,0.0001960133,0.050465576,0.0009079421,0.00009979084,0.0029083905,0.035911877,0.0019544389,0.0013196075,0.18811107,0.7177782,0.00023782886],"about_ca_topic_score_codex":0.0045967624,"about_ca_topic_score_gemma":0.008515457,"teacher_disagreement_score":0.018074967,"about_ca_system_score_codex":0.002614527,"about_ca_system_score_gemma":0.0038170188,"threshold_uncertainty_score":0.060466766},"labels":[],"label_agreement":null},{"id":"W2128422529","doi":"10.1257/aer.91.3.663","title":"Business Fixed Investment and “Bubbles”: The Japanese Case","year":2001,"lang":"en","type":"article","venue":"American Economic Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":212,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Fixed investment; Investment (military); Fixed asset; Monetary economics; Keynesian economics; Microeconomics; Capital formation; Production (economics); Political science","score_opus":0.030996986675879818,"score_gpt":0.23845203566382958,"score_spread":0.20745504898794975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128422529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97910666,0.0013522033,0.0009817657,0.0026809676,0.000011072781,0.000010268059,0.00005046915,0.000005375147,0.015801102],"genre_scores_gemma":[0.99916244,0.00029541898,0.00008582535,0.000049444716,0.000016364162,0.0000034684563,0.000016115206,8.749198e-7,0.00037003486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999731,0.000081121885,0.000014923323,0.000023818038,0.000035673267,0.00011350354],"domain_scores_gemma":[0.9981365,0.00086171395,0.0005026148,0.00007280381,0.000107824686,0.00031856884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076938566,0.0001984811,0.00036679755,0.0008387855,0.00089623284,0.0011807942,0.00022015205,0.00096116617,0.0028573165],"category_scores_gemma":[0.003006382,0.00018401814,0.00027156936,0.0008145017,0.001954622,0.0009241901,0.00089412014,0.00095118623,0.00010114614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010261318,0.0005580211,0.4920161,0.00034465545,0.00023350153,0.041405942,0.010568506,0.011981201,0.0020202775,0.39484048,0.007356377,0.037648804],"study_design_scores_gemma":[0.00077694125,0.0006115835,0.5400118,0.0004062025,0.0008481301,0.02518313,0.020435428,0.13501516,0.0017672217,0.24568969,0.029018596,0.00023626884],"about_ca_topic_score_codex":0.030495172,"about_ca_topic_score_gemma":0.022754028,"teacher_disagreement_score":0.030495172,"about_ca_system_score_codex":0.001030163,"about_ca_system_score_gemma":0.00045601564,"threshold_uncertainty_score":0.06063533},"labels":[],"label_agreement":null},{"id":"W2128438782","doi":"10.1111/j.1540-6261.2009.01517.x","title":"A Rational Expectations Equilibrium with Informative Trading Volume","year":2009,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Alberta; McGill University; University of British Columbia","funders":"","keywords":"Volume (thermodynamics); Aggregate (composite); Rational expectations; Algorithmic trading; Private information retrieval; Economics; Financial economics; High-frequency trading; Construct (python library); Trading strategy; Distribution (mathematics); Microeconomics; Econometrics; Computer science; Mathematics","score_opus":0.02216158399249736,"score_gpt":0.21128113339584845,"score_spread":0.18911954940335107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128438782","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35407948,0.0006965962,0.5468466,0.017602108,0.00024382432,0.00022862358,0.0010858527,0.0007289277,0.07848799],"genre_scores_gemma":[0.97914475,0.00016715402,0.012972969,0.00034801496,0.00007840802,0.00011657919,0.0001182927,0.000028884502,0.0070248917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980286,0.0008151973,0.000073401454,0.0004083523,0.00034044922,0.00033398168],"domain_scores_gemma":[0.9940262,0.0038598538,0.0011405181,0.00029976165,0.0003555703,0.00031804282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026545033,0.0009303458,0.0025036691,0.00061792904,0.00064911117,0.004561422,0.0019843811,0.0041649644,0.0069024717],"category_scores_gemma":[0.013713269,0.00084608747,0.0012579706,0.0005535645,0.0022214097,0.003567455,0.0017288233,0.002005889,0.0009110052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002513485,0.00016353578,0.0014854934,0.00010192218,0.00012049843,0.0005832869,0.00038697862,0.2768059,0.0018742345,0.70784307,0.002819189,0.0075644725],"study_design_scores_gemma":[0.000198001,0.00006884407,0.00045781012,0.000023150329,0.000024982131,0.00006866068,0.00007938094,0.60514486,0.00024688008,0.39261672,0.001024453,0.000046263915],"about_ca_topic_score_codex":0.005465339,"about_ca_topic_score_gemma":0.0028410936,"teacher_disagreement_score":0.0069024717,"about_ca_system_score_codex":0.0023988022,"about_ca_system_score_gemma":0.0013377768,"threshold_uncertainty_score":0.023091137},"labels":[],"label_agreement":null},{"id":"W2128444918","doi":"10.2139/ssrn.868970","title":"The Dynamics of Overconfidence: Evidence from Stock Market Forecasters","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Bureau de Coopération Interuniversitaire; McMaster University","funders":"","keywords":"Overconfidence effect; Conformity; Stock market; Economics; Stock (firearms); Financial economics; Monetary economics; Business; Psychology; Social psychology","score_opus":0.019598075760858272,"score_gpt":0.22033556299555326,"score_spread":0.20073748723469498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128444918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99630594,0.00035556644,0.00014028767,0.0003769384,0.000005769467,0.000004507704,0.00024127908,0.0000036996107,0.0025659236],"genre_scores_gemma":[0.9988783,0.00036146014,0.00006259577,0.00005726591,0.000021375681,0.0000036614597,0.00023660416,0.0000025567033,0.00037602094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938285,0.0002156469,0.000061023376,0.000106163396,0.00016236487,0.00007192451],"domain_scores_gemma":[0.91275525,0.056005824,0.021577599,0.003843887,0.0037735824,0.0020438223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035876757,0.0001702905,0.00035926985,0.0012450234,0.00036092298,0.0017522433,0.0005638274,0.0011889401,0.004602974],"category_scores_gemma":[0.048866294,0.00029163295,0.00018511468,0.0013730746,0.0006233711,0.002128661,0.00064312544,0.0012777178,0.0006728525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008000324,0.00024678576,0.972327,0.000034094337,0.00012555931,0.00014230437,0.0014599005,0.0011325537,0.0003872807,0.0011852874,0.0009892228,0.02116996],"study_design_scores_gemma":[0.000049957984,0.00018635926,0.99177355,0.000033586522,0.000058866746,0.00014121937,0.001174464,0.0024242066,0.00029998587,0.002840021,0.0009976029,0.000020115653],"about_ca_topic_score_codex":0.009608966,"about_ca_topic_score_gemma":0.0062591536,"teacher_disagreement_score":0.009608966,"about_ca_system_score_codex":0.0003606691,"about_ca_system_score_gemma":0.0002377427,"threshold_uncertainty_score":0.01910603},"labels":[],"label_agreement":null},{"id":"W2128486085","doi":"10.5430/ijfr.v5n3p43","title":"Where Does Price Discovery Occur? An Empirical Study of Taiwan’s ADRs and Their Underlying Foreign Stocks","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Price discovery; Cross listing; Listing (finance); Explanatory power; Closing (real estate); Index (typography); Business; Financial economics; Economics; Monetary economics; Finance","score_opus":0.11931167765939403,"score_gpt":0.3722978712815651,"score_spread":0.25298619362217106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128486085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99709857,0.00049743644,0.00045481994,0.0003494076,0.000008086149,0.000019664705,0.00010383529,0.000011593173,0.0014567026],"genre_scores_gemma":[0.99898607,0.0002679106,0.00018203513,0.000025354395,0.00002502877,0.0000049729747,0.0001250929,0.000004308687,0.00037921348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992317,0.00019906042,0.00010332892,0.00014647564,0.00019016302,0.00012934729],"domain_scores_gemma":[0.96235466,0.021371959,0.012684891,0.0011593357,0.0014775048,0.0009516576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002317953,0.00018527874,0.0004481712,0.0018427147,0.0006055999,0.0024040604,0.0005631869,0.0008987153,0.0020404097],"category_scores_gemma":[0.025758587,0.00032460943,0.0003637161,0.0021997488,0.0009090356,0.003857796,0.00094509847,0.0015742051,0.00039148287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023801647,0.00017216004,0.9738758,0.00006196792,0.00007702359,0.0011546265,0.001618313,0.000779008,0.00076851685,0.0022914952,0.00059669063,0.018366337],"study_design_scores_gemma":[0.000032652322,0.00016212989,0.97323567,0.000045941357,0.00011035325,0.00066601177,0.004770594,0.016125051,0.0009480617,0.0022356724,0.0016250629,0.000042859312],"about_ca_topic_score_codex":0.010578929,"about_ca_topic_score_gemma":0.008183984,"teacher_disagreement_score":0.010578929,"about_ca_system_score_codex":0.00062513066,"about_ca_system_score_gemma":0.00062651176,"threshold_uncertainty_score":0.021034718},"labels":[],"label_agreement":null},{"id":"W2128487852","doi":"10.1016/s0378-4266(99)00046-1","title":"Common stock returns and international listing announcements: Conditional tests of the mild segmentation hypothesis","year":2000,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Financial economics; Capital market; Stock (firearms); Portfolio; Economics; Capital asset pricing model; Stock market; Financial market; Volatility (finance); Market segmentation; Business; Monetary economics; Finance","score_opus":0.0436222047633831,"score_gpt":0.24763182271732986,"score_spread":0.20400961795394676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128487852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982657,0.0000390588,0.0006430346,0.00014840758,0.0000107955675,0.000007932492,0.00014148459,0.000012377958,0.0007313088],"genre_scores_gemma":[0.9990895,0.000023699646,0.00012181507,0.00003213165,0.000046614823,0.0000059091512,0.00037436688,0.0000058073274,0.00030023072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99670416,0.0012239488,0.00021858349,0.0007249174,0.00034762747,0.00078070903],"domain_scores_gemma":[0.8742863,0.08345547,0.027403558,0.006649468,0.0013158484,0.00688937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009357596,0.00067792163,0.0010405941,0.0016507823,0.0007410033,0.002621729,0.0015283929,0.0016666736,0.009746794],"category_scores_gemma":[0.043825764,0.0004829353,0.0014110027,0.0014245558,0.0028414177,0.0027334406,0.0023130311,0.0020432908,0.00078556564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008193378,0.0015593761,0.94558823,0.00006915642,0.0012008741,0.0006678662,0.0014463909,0.0046799937,0.0046806773,0.012464919,0.0017077093,0.0177415],"study_design_scores_gemma":[0.0005401866,0.0009283067,0.94740593,0.000015573709,0.00049576734,0.00035417418,0.0008633779,0.034101136,0.0014600556,0.013251421,0.0005124705,0.00007155077],"about_ca_topic_score_codex":0.0056772493,"about_ca_topic_score_gemma":0.004812908,"teacher_disagreement_score":0.009746794,"about_ca_system_score_codex":0.0005679779,"about_ca_system_score_gemma":0.0007996728,"threshold_uncertainty_score":0.049488306},"labels":[],"label_agreement":null},{"id":"W2128899087","doi":"10.5430/afr.v2n3p111","title":"Performance Evaluation and Fund Selection Criteria for Mutual Funds over the Period 2000-2011","year":2013,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fund of funds; Closed-end fund; Open-end fund; Finance; Business; Mutual fund; Net asset value; Stable value fund; Manager of managers fund; Passive management; Institutional investor; Global assets under management; Investment fund; Order (exchange); Fund administration; Investment (military); Market liquidity; Corporate governance","score_opus":0.11588781527327073,"score_gpt":0.3348267113505169,"score_spread":0.21893889607724615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128899087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996418,0.0003675572,0.0005313729,0.00013532619,0.000009856505,0.000047982263,0.0006900705,0.000017775803,0.0017820767],"genre_scores_gemma":[0.9977029,0.000073849966,0.00047100618,0.0000061157916,0.00001661267,0.000023521847,0.0012766497,0.0000029916368,0.00042643736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9927758,0.0014589288,0.0012127284,0.0003962447,0.0032987501,0.00085757655],"domain_scores_gemma":[0.95968384,0.009082321,0.017352942,0.0007997837,0.011311289,0.0017699046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010916951,0.0005633018,0.0006121157,0.01060409,0.0006942261,0.0020286292,0.0005491606,0.00055950717,0.00075099315],"category_scores_gemma":[0.04270415,0.00012352254,0.0007180664,0.0064530685,0.00052009994,0.0015491461,0.0015202594,0.00035846466,0.0002384128],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006745679,0.0000728848,0.96163934,0.000069538604,0.0001197816,0.0001959259,0.00051950925,0.0054798117,0.000453932,0.0007425499,0.001159631,0.028872421],"study_design_scores_gemma":[0.000031235104,0.000519773,0.977303,0.00005015519,0.00007250338,0.0003381031,0.001160583,0.015968226,0.0017748582,0.00045637845,0.0022865727,0.000038534836],"about_ca_topic_score_codex":0.011006327,"about_ca_topic_score_gemma":0.011874469,"teacher_disagreement_score":0.011006327,"about_ca_system_score_codex":0.0037797904,"about_ca_system_score_gemma":0.0019416293,"threshold_uncertainty_score":0.057735026},"labels":[],"label_agreement":null},{"id":"W2129083603","doi":"10.2139/ssrn.1663513","title":"Rumors of Mergers and Acquisitions: Market Efficiency and Markup Pricing","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Lethbridge","funders":"","keywords":"Rumor; Markup language; Business; Mergers and acquisitions; Efficient-market hypothesis; Financial economics; Monetary economics; Economics; Computer science; Finance; Law; History; Political science","score_opus":0.006380045905680705,"score_gpt":0.19021338366213897,"score_spread":0.18383333775645827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129083603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93971103,0.0024833102,0.045616042,0.0021380878,0.00005327941,0.000041813546,0.00021893025,0.0001475007,0.009589992],"genre_scores_gemma":[0.9974005,0.00038905963,0.00090184424,0.000036768775,0.00008829384,0.0000065430045,0.000054925466,0.000013552883,0.0011085487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99822515,0.001009287,0.00011499079,0.00020507615,0.00027316576,0.00017226343],"domain_scores_gemma":[0.8168968,0.1542471,0.018710732,0.0057215374,0.0032188992,0.0012049589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009614141,0.0003695121,0.0010556248,0.0014482739,0.00053242565,0.0049190014,0.0013256561,0.0022921818,0.0048570763],"category_scores_gemma":[0.09511427,0.00059819367,0.0006304405,0.0012963112,0.0016199233,0.0073007075,0.0009204654,0.0022342475,0.00044485106],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030721738,0.00069777697,0.13083129,0.00047222598,0.0008903098,0.0014010735,0.0021965825,0.20136511,0.0044226013,0.5435496,0.0068498626,0.104251355],"study_design_scores_gemma":[0.00013520192,0.00028017786,0.053842325,0.00008390844,0.00031038118,0.0007060064,0.00076041615,0.56434834,0.0022207089,0.3755378,0.0016623453,0.00011248457],"about_ca_topic_score_codex":0.001108311,"about_ca_topic_score_gemma":0.0007783274,"teacher_disagreement_score":0.009614141,"about_ca_system_score_codex":0.00071963546,"about_ca_system_score_gemma":0.0004333627,"threshold_uncertainty_score":0.050845027},"labels":[],"label_agreement":null},{"id":"W2129404448","doi":"10.3905/jfi.2002.319310","title":"Bid-Ask Spread, Volatility, and Volume in the Corporate Bond Market","year":2002,"lang":"en","type":"article","venue":"The Journal of Fixed Income","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Volatility (finance); Bond; Econometrics; Financial economics; Bid price; Economics; Proxy (statistics); Autoregressive model; Volatility clustering; Business; Mathematics; Finance; Statistics; Autoregressive conditional heteroskedasticity","score_opus":0.045768779185434365,"score_gpt":0.20717153292271798,"score_spread":0.1614027537372836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129404448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99638957,0.00046404358,0.0016437087,0.0001504645,0.0000085405145,0.0000048011498,0.00010555793,0.000021979136,0.0012112673],"genre_scores_gemma":[0.99910283,0.00015793776,0.0002447315,0.00001451762,0.000018897239,0.0000033400813,0.00013279048,0.000005093482,0.0003197415],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927026,0.0002803324,0.00005631529,0.00008570456,0.00023778256,0.0000695476],"domain_scores_gemma":[0.9823002,0.012706635,0.0031282518,0.00045520268,0.0006734032,0.000736246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018494688,0.00032809374,0.00041483127,0.0011734723,0.0002560931,0.0019456687,0.00032727557,0.00084514596,0.0013197579],"category_scores_gemma":[0.018588025,0.00032750622,0.00034157335,0.0012172033,0.0005984702,0.0022445023,0.00064359145,0.0012351713,0.000506905],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008717102,0.0003906831,0.94490844,0.00005313888,0.00031008568,0.00046123978,0.0005461082,0.020669231,0.0045017595,0.009540546,0.00053125725,0.01721588],"study_design_scores_gemma":[0.000037843165,0.00031461174,0.8746395,0.000017777427,0.00010019894,0.0005434451,0.00028593387,0.11128919,0.0013079159,0.010806227,0.00060189574,0.000055421824],"about_ca_topic_score_codex":0.0017121288,"about_ca_topic_score_gemma":0.0015375386,"teacher_disagreement_score":0.0019456687,"about_ca_system_score_codex":0.0004169565,"about_ca_system_score_gemma":0.00023862155,"threshold_uncertainty_score":0.009781063},"labels":[],"label_agreement":null},{"id":"W2130248719","doi":"10.1093/rof/rfp018","title":"The Limits of the Limits of Arbitrage","year":2009,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Arbitrage; Limits to arbitrage; Economics; Financial economics; Arbitrage pricing theory; Index arbitrage; Stock (firearms); Fixed income arbitrage; Statistical arbitrage; Risk arbitrage; Earnings; Capital asset pricing model; Asset (computer security); Econometrics; Monetary economics; Finance; Geography","score_opus":0.05459275386392587,"score_gpt":0.2429280646340954,"score_spread":0.18833531077016952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130248719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93711936,0.0016980587,0.03092931,0.003622988,0.00011074993,0.00004071353,0.000118324875,0.00009549881,0.02626502],"genre_scores_gemma":[0.99863726,0.0000857993,0.0008178919,0.00010513594,0.000065610744,0.000011483542,0.000023266031,0.000006831067,0.00024669053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99140024,0.0033292978,0.0007355507,0.0011987552,0.0026467782,0.00068940426],"domain_scores_gemma":[0.7606859,0.17046012,0.032425344,0.024172088,0.008235649,0.0040208185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018974815,0.00033121704,0.0012807894,0.0019562766,0.0007445318,0.003514762,0.0016899576,0.001868753,0.005729937],"category_scores_gemma":[0.18222594,0.00030546426,0.0010990592,0.00086373586,0.008151694,0.009060648,0.0036787519,0.0031832475,0.00044417032],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019821269,0.00030187555,0.21809946,0.00032137337,0.0008496735,0.0017455613,0.002232525,0.02069744,0.0057148277,0.6662582,0.0025343099,0.07926256],"study_design_scores_gemma":[0.00012530078,0.00037683971,0.042997457,0.00010680363,0.00013916063,0.001116313,0.0008489578,0.04072828,0.002956728,0.90705866,0.003466608,0.00007883652],"about_ca_topic_score_codex":0.0005072566,"about_ca_topic_score_gemma":0.00019639543,"teacher_disagreement_score":0.018974815,"about_ca_system_score_codex":0.0007471951,"about_ca_system_score_gemma":0.0006194645,"threshold_uncertainty_score":0.100349605},"labels":[],"label_agreement":null},{"id":"W2130642831","doi":"","title":"Equity Premiums In a Small Open Economy","year":2004,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Stylized fact; Economics; Small open economy; Equity premium puzzle; Equity (law); Capital asset pricing model; Asset (computer security); Habit; Business cycle; Open economy; General equilibrium theory; Consumption (sociology); Order (exchange); Microeconomics; Econometrics; Financial economics; Macroeconomics; Finance; Computer science; Monetary policy","score_opus":0.07528066463641088,"score_gpt":0.24334912398849834,"score_spread":0.16806845935208747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130642831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843499,0.00019990164,0.010816886,0.00043286735,0.000011693841,0.0000072542884,0.000037225058,0.000043720178,0.0041006124],"genre_scores_gemma":[0.9990915,0.00005677578,0.000170915,0.000011273346,0.0000094079305,0.0000014005941,0.000007752972,0.0000025245292,0.0006485346],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998933,0.000019669806,0.0000061334404,0.000023470702,0.00002938545,0.000027976648],"domain_scores_gemma":[0.99815506,0.00078725314,0.00058538036,0.00009193477,0.00010056285,0.00027981398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005372638,0.00018043167,0.00031541524,0.00044352107,0.0002338371,0.0010845833,0.0002776834,0.0005254165,0.0025803198],"category_scores_gemma":[0.0041294494,0.00012794705,0.000177696,0.00021858817,0.0009169063,0.0016163106,0.00068262324,0.0006069546,0.00011152391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047711682,0.0005079146,0.09481594,0.00014653889,0.00012883118,0.0036933606,0.0012437276,0.13054815,0.030465301,0.68562305,0.0026455563,0.049704563],"study_design_scores_gemma":[0.00008914951,0.00017141837,0.08180633,0.000015525495,0.00006290495,0.0004668938,0.00040568516,0.3638989,0.0032691478,0.5477827,0.001972337,0.000058924958],"about_ca_topic_score_codex":0.0017631667,"about_ca_topic_score_gemma":0.0011402561,"teacher_disagreement_score":0.0025803198,"about_ca_system_score_codex":0.0004756595,"about_ca_system_score_gemma":0.00018976718,"threshold_uncertainty_score":0.008632004},"labels":[],"label_agreement":null},{"id":"W2130658178","doi":"10.1111/j.1468-0416.2008.00144.x","title":"Arbitrage, Liquidity, and the Valuation of Exchange Traded Funds","year":2008,"lang":"en","type":"article","venue":"Financial Markets Institutions and Instruments","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Market liquidity; Net asset value; Business; Arbitrage; Global assets under management; Monetary economics; Valuation (finance); Financial economics; Liquidity premium; Financial system; Economics; Liquidity risk; Institutional investor; Finance","score_opus":0.08287965876963325,"score_gpt":0.23507823615676687,"score_spread":0.1521985773871336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130658178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972779,0.00088738766,0.00078511797,0.00014496446,0.0000054454003,0.000002915597,0.000023177507,0.000005986988,0.0008670062],"genre_scores_gemma":[0.99962175,0.00013539668,0.00011045424,0.00000527457,0.000011143606,0.0000014309946,0.000019603853,0.000001177952,0.000093811854],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99951315,0.00024371008,0.00005854902,0.00003768755,0.000084628875,0.00006235198],"domain_scores_gemma":[0.9894916,0.0055939974,0.0040130853,0.00027127878,0.0002798554,0.00035004035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020163984,0.00029035955,0.00037592533,0.0010620255,0.00025660783,0.0023538216,0.0002796985,0.000813305,0.0009278375],"category_scores_gemma":[0.019360384,0.00014465919,0.00027242771,0.00089634344,0.00079199515,0.002399518,0.00080186734,0.00056480285,0.0001010825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031623393,0.00036358836,0.8180682,0.00016830677,0.00056901865,0.0023898561,0.0017638896,0.043267556,0.008433158,0.049105648,0.0009229608,0.0717855],"study_design_scores_gemma":[0.0003645136,0.0009308869,0.6261048,0.00015150383,0.00035485998,0.0023696858,0.0015957168,0.21700138,0.005876786,0.14211102,0.0029757929,0.0001631141],"about_ca_topic_score_codex":0.0011059337,"about_ca_topic_score_gemma":0.00087287475,"teacher_disagreement_score":0.0023538216,"about_ca_system_score_codex":0.00056295935,"about_ca_system_score_gemma":0.0002739927,"threshold_uncertainty_score":0.010663867},"labels":[],"label_agreement":null},{"id":"W2130755345","doi":"10.2139/ssrn.1697784","title":"Portfolio Choice with Illiquid Assets","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Portfolio; Business; Economics; Financial economics; Econometrics; Finance","score_opus":0.02570039724480797,"score_gpt":0.20019118922243057,"score_spread":0.1744907919776226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130755345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.955837,0.00049872126,0.035214923,0.0015100001,0.00004171682,0.000032007607,0.00017845158,0.000056494602,0.006630632],"genre_scores_gemma":[0.98780316,0.00032341003,0.0027964565,0.0000797798,0.000059535934,0.00001672194,0.00012716184,0.00001409542,0.008779542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993093,0.00037039397,0.000043517994,0.000092437025,0.00008087914,0.00010344767],"domain_scores_gemma":[0.9887432,0.00795224,0.0015850045,0.00040694812,0.00026192077,0.001050797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033275129,0.00049563777,0.0010568197,0.0009434879,0.00030780674,0.0025674845,0.0007235429,0.0023610417,0.011396598],"category_scores_gemma":[0.015902003,0.00043132878,0.0005270771,0.00083033065,0.0007563183,0.0036475498,0.00093432673,0.0014109617,0.00080973195],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0052277376,0.002035592,0.09872413,0.00064593815,0.00068144716,0.0053629708,0.0007683753,0.26828903,0.0071851243,0.4842087,0.01010773,0.116763204],"study_design_scores_gemma":[0.0005045816,0.0009905276,0.014510987,0.00004733668,0.00014151382,0.00079553836,0.0002502337,0.47703266,0.0015803435,0.5027195,0.001368533,0.000058232887],"about_ca_topic_score_codex":0.00028421186,"about_ca_topic_score_gemma":0.00033362277,"teacher_disagreement_score":0.011396598,"about_ca_system_score_codex":0.00048810645,"about_ca_system_score_gemma":0.0002784934,"threshold_uncertainty_score":0.038125396},"labels":[],"label_agreement":null},{"id":"W2130938687","doi":"10.2139/ssrn.772224","title":"Variance Spillover and Skewness in Financial Asset Returns","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Skewness; Spillover effect; Variance (accounting); Economics; Asset allocation; Financial economics; Asset (computer security); Econometrics; Business; Accounting; Portfolio; Computer science","score_opus":0.01078986466733668,"score_gpt":0.2027616521366566,"score_spread":0.19197178746931992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130938687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98302877,0.00063407473,0.01171117,0.00035343412,0.000017248189,0.0000095503865,0.000045236586,0.00005361869,0.0041469703],"genre_scores_gemma":[0.9991966,0.00015155395,0.00027373037,0.000015186566,0.000027480888,0.0000017832215,0.000018721794,0.0000037198963,0.00031120438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953663,0.00018239324,0.000035778306,0.000073625604,0.00007770653,0.00009388683],"domain_scores_gemma":[0.9781617,0.016368793,0.002588054,0.0012161807,0.00076983275,0.0008954086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027111652,0.00030493698,0.0006136462,0.001128316,0.0002547634,0.0017856524,0.00028821186,0.00094749447,0.003184982],"category_scores_gemma":[0.02154843,0.000389292,0.00053062156,0.0006493305,0.0014250149,0.0029144445,0.001477499,0.0010738248,0.00036907473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019403349,0.0006216181,0.4385258,0.00022084593,0.00051273743,0.0030215725,0.0014822986,0.110443965,0.017324712,0.35680798,0.0024555235,0.06664264],"study_design_scores_gemma":[0.00015411433,0.00037356897,0.37914786,0.000095740965,0.00028976426,0.001705686,0.0008552437,0.18645088,0.0033096015,0.4267729,0.0007148647,0.00012977913],"about_ca_topic_score_codex":0.0008073344,"about_ca_topic_score_gemma":0.0007343121,"teacher_disagreement_score":0.003184982,"about_ca_system_score_codex":0.00049183273,"about_ca_system_score_gemma":0.00042947594,"threshold_uncertainty_score":0.014338195},"labels":[],"label_agreement":null},{"id":"W2131152982","doi":"10.5539/ass.v10n4p78","title":"The Benefits of Diversification in Asean Stock Market to Malaysia Investors","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Business; Attractiveness; Stock exchange; Efficient frontier; Portfolio; Stock market; International economics; Finance; Economics; Geography","score_opus":0.026824778650715902,"score_gpt":0.22336220719983282,"score_spread":0.19653742854911693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131152982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957948,0.00026466465,0.0001623394,0.00015170332,0.0000026155124,0.0000033391714,0.000034646357,0.0000021972205,0.0035837512],"genre_scores_gemma":[0.9995524,0.00010833359,0.00005386002,0.000010491168,0.0000029270273,7.144588e-7,0.000016341191,2.3976443e-7,0.00025468852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998549,0.000057493646,0.000009311537,0.000011924526,0.00003273272,0.000033542718],"domain_scores_gemma":[0.99931324,0.00020487957,0.00024237832,0.000034841203,0.00011119198,0.00009350739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006363901,0.00015061392,0.00011902267,0.00038531114,0.00020406321,0.00089801336,0.00009516793,0.0002695822,0.0014341378],"category_scores_gemma":[0.0017944982,0.00005037248,0.0001849977,0.00028575677,0.00020719485,0.00068278814,0.00040468553,0.00025203265,0.00010557404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000945028,0.0002949832,0.8563357,0.00013118543,0.00020552377,0.0023945936,0.0007251968,0.022370577,0.011668775,0.0148009285,0.0017041501,0.08842334],"study_design_scores_gemma":[0.000036663736,0.00059179607,0.95874274,0.000063775275,0.00013431323,0.0007151765,0.0017959296,0.025048548,0.0035055452,0.0056302906,0.0037099952,0.000025153719],"about_ca_topic_score_codex":0.0024433832,"about_ca_topic_score_gemma":0.0036714238,"teacher_disagreement_score":0.0024433832,"about_ca_system_score_codex":0.00041656775,"about_ca_system_score_gemma":0.0002891763,"threshold_uncertainty_score":0.004858315},"labels":[],"label_agreement":null},{"id":"W2131200325","doi":"10.2139/ssrn.477467","title":"What Does the Risk-Appetite Index Measure?","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Measure (data warehouse); Index (typography); Risk appetite; Appetite; Medicine; Economics; Computer science; Internal medicine; Risk management; Data mining; World Wide Web","score_opus":0.011144242628948444,"score_gpt":0.1925182901149017,"score_spread":0.18137404748595326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131200325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69634354,0.018506454,0.15480185,0.054105688,0.0030223457,0.00013729028,0.0023081277,0.00053995464,0.07023476],"genre_scores_gemma":[0.9891667,0.0018866172,0.0048775803,0.0010458203,0.0012997694,0.000035173613,0.0002612255,0.000065274995,0.0013618555],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99801576,0.0008643792,0.00023061996,0.00035316328,0.0004032409,0.0001329114],"domain_scores_gemma":[0.9805043,0.010087511,0.00507153,0.0014442836,0.0017153885,0.0011770464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006332624,0.00076267024,0.0015810708,0.0027997673,0.00043456358,0.0053222706,0.001278366,0.0026574337,0.0042145653],"category_scores_gemma":[0.04711767,0.00026610694,0.0007338183,0.0023110206,0.0024553277,0.010169269,0.0013471588,0.0016054759,0.0014161761],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005518484,0.00040817296,0.4203404,0.0006074676,0.0013624164,0.0003705016,0.00089561363,0.009026918,0.0024641077,0.199409,0.023216166,0.34134743],"study_design_scores_gemma":[0.00013788717,0.000863969,0.34982848,0.000584512,0.00041228838,0.0017296616,0.0020087285,0.046044674,0.003195425,0.5705487,0.024222724,0.0004228112],"about_ca_topic_score_codex":0.0007828548,"about_ca_topic_score_gemma":0.00052194064,"teacher_disagreement_score":0.006332624,"about_ca_system_score_codex":0.00071866816,"about_ca_system_score_gemma":0.00052110106,"threshold_uncertainty_score":0.03349048},"labels":[],"label_agreement":null},{"id":"W2131219611","doi":"10.5539/ijef.v5n3p164","title":"Testing the CAPM for the Brazilian Stock Market: A Study of Dynamic Beta Using Multivariate GARCH","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Econometrics; Economics; Portfolio; Multivariate statistics; Financial economics; Stock market; BETA (programming language); Stock (firearms); Market portfolio; Autoregressive conditional heteroskedasticity; Systematic risk; Mathematics; Statistics; Volatility (finance); Geography","score_opus":0.05719994326932048,"score_gpt":0.2684831977705191,"score_spread":0.21128325450119861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131219611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98666173,0.00045089825,0.0090501355,0.00039766918,0.000025870337,0.000024767827,0.00017962317,0.000062001076,0.0031472985],"genre_scores_gemma":[0.99834883,0.00009199183,0.0011605336,0.000026648679,0.000028610697,0.0000085433885,0.00020229684,0.000010684839,0.00012201871],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955279,0.0024204801,0.00022590648,0.00066101004,0.00081993465,0.00034465402],"domain_scores_gemma":[0.9083389,0.07671553,0.0064188144,0.0042100446,0.0032520052,0.0010647174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013958328,0.00082901906,0.00073679216,0.0018029588,0.0005042888,0.0014196667,0.0010671421,0.00076955033,0.001716595],"category_scores_gemma":[0.08167633,0.0003005642,0.0009729527,0.0012870107,0.00091994193,0.0022103188,0.00084291457,0.0010989273,0.00023534845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005053277,0.00041081483,0.82525945,0.00020116178,0.0008307834,0.00090184686,0.0008675925,0.058580983,0.002003479,0.018260432,0.0019788363,0.09019937],"study_design_scores_gemma":[0.00012917665,0.001154674,0.34990492,0.0001231719,0.0003230752,0.00063914794,0.0009663339,0.6282907,0.0016086096,0.014388088,0.0024147753,0.000057426354],"about_ca_topic_score_codex":0.012052825,"about_ca_topic_score_gemma":0.0047409227,"teacher_disagreement_score":0.013958328,"about_ca_system_score_codex":0.000966043,"about_ca_system_score_gemma":0.0012727889,"threshold_uncertainty_score":0.07381964},"labels":[],"label_agreement":null},{"id":"W2131442205","doi":"10.2139/ssrn.2426630","title":"Managerial Activeness and Mutual Fund Performance","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mutual fund; Business; Actuarial science; Accounting; Economics; Finance","score_opus":0.015862721610794755,"score_gpt":0.19826044177332347,"score_spread":0.18239772016252873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131442205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993569,0.00027449513,0.00014061564,0.0005095591,0.000010341826,0.000004129539,0.000031654046,0.000005211188,0.005454988],"genre_scores_gemma":[0.9990545,0.00004453273,0.000025604742,0.000021529178,0.000026958613,0.0000010295975,0.00001693888,8.1206036e-7,0.0008082267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993262,0.0002541493,0.000056779103,0.00005265003,0.00012499036,0.0001852191],"domain_scores_gemma":[0.97372675,0.008383815,0.011139593,0.0006995347,0.0009226213,0.0051277983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025731055,0.0001647739,0.00016322765,0.00092924153,0.0004361248,0.0021194133,0.0003060869,0.0009877919,0.0059193713],"category_scores_gemma":[0.01597664,0.00009119993,0.0001570138,0.0004873614,0.00061751105,0.0014455038,0.0010082124,0.00070354255,0.0006755576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010177108,0.0008791968,0.9476619,0.000055179175,0.00020132835,0.0003912331,0.0015462284,0.00155347,0.0017512116,0.008688276,0.0014161236,0.034838315],"study_design_scores_gemma":[0.000064368855,0.0004972031,0.9815745,0.00003975298,0.00006960894,0.00031507763,0.0024476673,0.0022292302,0.00044557653,0.010327318,0.001970289,0.000019461795],"about_ca_topic_score_codex":0.0007599809,"about_ca_topic_score_gemma":0.0015456231,"teacher_disagreement_score":0.0059193713,"about_ca_system_score_codex":0.000475171,"about_ca_system_score_gemma":0.00028694325,"threshold_uncertainty_score":0.019802272},"labels":[],"label_agreement":null},{"id":"W2131918167","doi":"10.1142/s0219024908004750","title":"INSIDER TRADING AND VOLUNTARY DISCLOSURE","year":2008,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Market liquidity; Business; Insider trading; Asset (computer security); Order (exchange); Insider; Information asymmetry; Noise (video); Monetary economics; Finance; Economics; Computer science; Computer security","score_opus":0.014687107580194043,"score_gpt":0.20301124440041463,"score_spread":0.1883241368202206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131918167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6913151,0.0025226611,0.22663146,0.010714993,0.00020513833,0.00028586644,0.0009386997,0.0002894272,0.0670966],"genre_scores_gemma":[0.9885385,0.0003296973,0.0037828577,0.00018362426,0.00009056297,0.00006539699,0.000073708674,0.000009364698,0.006926376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974389,0.0010450949,0.00011133452,0.00040242577,0.00042990452,0.00057226355],"domain_scores_gemma":[0.9862578,0.0076706903,0.0036983145,0.0011838207,0.0005028448,0.0006864669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029709337,0.00083723874,0.0014520807,0.000663673,0.001023098,0.0037413517,0.0021777952,0.0051710983,0.006030606],"category_scores_gemma":[0.012207735,0.0005999074,0.0009559154,0.00081221026,0.0023837266,0.0046504303,0.0016279512,0.0023177708,0.00056966103],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042587557,0.00038686724,0.00797972,0.00019282133,0.00011800225,0.0023621144,0.0008890478,0.13339897,0.0035854026,0.83374566,0.0029520153,0.013963529],"study_design_scores_gemma":[0.0003109658,0.00023455422,0.0027398812,0.00008570976,0.00007440446,0.00084429776,0.000391852,0.4885613,0.0010836511,0.5004578,0.0051179104,0.00009768834],"about_ca_topic_score_codex":0.0027094602,"about_ca_topic_score_gemma":0.001462557,"teacher_disagreement_score":0.006030606,"about_ca_system_score_codex":0.0014379628,"about_ca_system_score_gemma":0.0012139325,"threshold_uncertainty_score":0.020174444},"labels":[],"label_agreement":null},{"id":"W2131974789","doi":"","title":"Investir dans des titres de petite capitalisation : le cas de la Bourse de croissance TSX","year":2009,"lang":"fr","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Business; Issuer; Capitalization; Market capitalization; Stock exchange; Lottery; Investment (military); Stock market; Economics; Finance; Geography; Political science; Microeconomics","score_opus":0.01641120104736262,"score_gpt":0.22094816644621773,"score_spread":0.2045369653988551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131974789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68711495,0.002853068,0.011072812,0.012924854,0.00026623436,0.000059415623,0.00017017483,0.00025753296,0.28528106],"genre_scores_gemma":[0.90880555,0.0005244408,0.0012355433,0.00038449856,0.000058486876,0.000015663316,0.000038848128,0.000037932943,0.088898964],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862325,0.00024336032,0.000040963514,0.00021769891,0.00050562643,0.0003691607],"domain_scores_gemma":[0.9964405,0.0008730337,0.0007585504,0.00033867516,0.0006315942,0.00095764373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021743507,0.00029690328,0.0003594473,0.0012719102,0.0016557351,0.007827664,0.0007275892,0.0019874782,0.015890993],"category_scores_gemma":[0.0063068205,0.0002824528,0.00036305827,0.0010142323,0.002478698,0.0029827538,0.0022001527,0.0025782173,0.0021054058],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006084455,0.00013559162,0.044753656,0.00015462117,0.00006669532,0.0025826907,0.0113926,0.0034283472,0.00647471,0.8340408,0.008586416,0.08777552],"study_design_scores_gemma":[0.00021314832,0.0008193216,0.12683643,0.00077815616,0.00013606722,0.0028825945,0.01638577,0.015085772,0.011207616,0.2528532,0.57258785,0.00021413442],"about_ca_topic_score_codex":0.018286705,"about_ca_topic_score_gemma":0.014979683,"teacher_disagreement_score":0.9817133,"about_ca_system_score_codex":0.004415709,"about_ca_system_score_gemma":0.0033244716,"threshold_uncertainty_score":0.053160667},"labels":[],"label_agreement":null},{"id":"W2132038797","doi":"10.1080/0960310050391040","title":"Modelling heavy tails and skewness in film returns","year":2005,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Hong Kong","keywords":"Skewness; Skew; Revenue; Logarithm; Econometrics; Box office; Distribution (mathematics); Economics; Skew normal distribution; Physics; Mathematics; Business; Advertising; Finance; Mathematical analysis","score_opus":0.023047361733153752,"score_gpt":0.18626794110762818,"score_spread":0.16322057937447443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132038797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90826917,0.00031124311,0.08617994,0.00059538474,0.00004095154,0.00010135159,0.0006937723,0.00028685338,0.0035213013],"genre_scores_gemma":[0.99564606,0.00016002759,0.002278163,0.000047849077,0.00002894429,0.00003563388,0.00031465405,0.000036046353,0.0014526322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99713045,0.0013798461,0.00015749178,0.000473797,0.00027950198,0.0005789306],"domain_scores_gemma":[0.9608113,0.027624065,0.0059990627,0.0029155957,0.0017561364,0.0008939156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009450085,0.0009772065,0.001086097,0.0016179294,0.00040578452,0.002942775,0.0013482851,0.0014937068,0.0045880107],"category_scores_gemma":[0.047116693,0.00066187215,0.0015757512,0.0013159154,0.002490367,0.003322368,0.0014674384,0.0023417508,0.0010929451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013430294,0.00029437745,0.15487105,0.00015722096,0.00034225686,0.0022309013,0.0011361841,0.6844342,0.0022743875,0.109300554,0.0035563754,0.0400595],"study_design_scores_gemma":[0.0000809635,0.00010861342,0.030065509,0.000040138057,0.000058718626,0.00044054896,0.00038040604,0.89742285,0.0008577473,0.06971637,0.0007665996,0.00006149506],"about_ca_topic_score_codex":0.007386452,"about_ca_topic_score_gemma":0.0044798064,"teacher_disagreement_score":0.009450085,"about_ca_system_score_codex":0.0013379763,"about_ca_system_score_gemma":0.00096150924,"threshold_uncertainty_score":0.04997748},"labels":[],"label_agreement":null},{"id":"W2132466061","doi":"10.2139/ssrn.1363756","title":"Examining the Dark Side of Financial Markets: Do Institutions Trade on Information from Investment Bank Connections?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Underwriting; Exploit; Business; Investment banking; Investment (military); Great Rift; Initial public offering; Information asymmetry; Financial market; Contrast (vision); Financial system; Monetary economics; Accounting; Finance; Economics","score_opus":0.043758679266487376,"score_gpt":0.21067272159181039,"score_spread":0.166914042325323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132466061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9323974,0.0031393575,0.0042216824,0.023983918,0.0001078846,0.0000310262,0.000635163,0.000036837533,0.03544668],"genre_scores_gemma":[0.9968336,0.0008081207,0.00028141937,0.00049998163,0.0001681997,0.00000759778,0.00013277905,0.000016893426,0.00125143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987588,0.00056908635,0.00006322973,0.0001824553,0.00017953718,0.00024695383],"domain_scores_gemma":[0.9203044,0.05700459,0.015567526,0.002611249,0.0018992224,0.0026130325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045421,0.00036119283,0.0011320076,0.0017206552,0.0010335097,0.007125034,0.0010787792,0.003334144,0.019729251],"category_scores_gemma":[0.052329287,0.00050143205,0.0004386082,0.0027975875,0.002951469,0.018018756,0.002737118,0.0034679393,0.0014484616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019732849,0.00096442824,0.6070341,0.0005345094,0.0007487149,0.00093073654,0.004740936,0.007682075,0.0019519423,0.24235578,0.01221725,0.11886632],"study_design_scores_gemma":[0.00040126496,0.00037358984,0.32450822,0.00040798806,0.0008340135,0.000340136,0.012537404,0.03719517,0.0019419191,0.60830796,0.012997069,0.00015528144],"about_ca_topic_score_codex":0.004214187,"about_ca_topic_score_gemma":0.005912327,"teacher_disagreement_score":0.019729251,"about_ca_system_score_codex":0.0010875552,"about_ca_system_score_gemma":0.0010558693,"threshold_uncertainty_score":0.06600094},"labels":[],"label_agreement":null},{"id":"W2132556832","doi":"10.2139/ssrn.1343387","title":"Keynes Meets Markowitz: The Tradeoff between Familiarity and Diversification","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia; Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Diversification (marketing strategy); Economics; Business; Marketing","score_opus":0.021211890444015072,"score_gpt":0.20546358543248408,"score_spread":0.184251694988469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132556832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56539625,0.018570062,0.2768442,0.06276943,0.00046586656,0.000048457292,0.0001921881,0.00025815523,0.07545538],"genre_scores_gemma":[0.9825272,0.0024272748,0.009867174,0.000773242,0.00065035926,0.000023361867,0.000027790173,0.0000581257,0.0036454287],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985838,0.00069120777,0.000066516965,0.00027209136,0.0002558942,0.00013042007],"domain_scores_gemma":[0.97243136,0.020786177,0.0028549156,0.0019627209,0.0008673572,0.0010975061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004694601,0.00040138498,0.0012847744,0.00091729814,0.0011137945,0.005484029,0.000815725,0.0025718121,0.010847564],"category_scores_gemma":[0.0375004,0.0004628669,0.00054415024,0.0012188375,0.004093225,0.01934901,0.0030852787,0.0030066965,0.0013624006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045590146,0.00004288436,0.006685385,0.00012723652,0.000056983194,0.0004536728,0.0008557639,0.00664569,0.0010963742,0.9069794,0.0044690855,0.0721316],"study_design_scores_gemma":[0.000039637274,0.00006106518,0.0011596194,0.000027400902,0.000015473423,0.00032624722,0.00027189447,0.005884119,0.00036508052,0.9878764,0.003952873,0.000020097157],"about_ca_topic_score_codex":0.0003929997,"about_ca_topic_score_gemma":0.0003998434,"teacher_disagreement_score":0.010847564,"about_ca_system_score_codex":0.0010085002,"about_ca_system_score_gemma":0.0007730618,"threshold_uncertainty_score":0.03628874},"labels":[],"label_agreement":null},{"id":"W2132874571","doi":"10.1016/j.jfi.2014.08.001","title":"The role of a large trader in a dynamic currency attack model","year":2014,"lang":"en","type":"article","venue":"Journal of Financial Intermediation","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Guelph","funders":"","keywords":"Currency; Monetary economics; Economics; Business; Econometrics","score_opus":0.014833619547162231,"score_gpt":0.24121781400389133,"score_spread":0.2263841944567291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132874571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5386029,0.0036706412,0.3234371,0.023795124,0.0009246812,0.00013143966,0.00072438165,0.0005046258,0.10820918],"genre_scores_gemma":[0.9671788,0.00090615643,0.0040456164,0.00027645132,0.00029111523,0.00005045786,0.000095849224,0.00006108511,0.027094366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993861,0.00032601494,0.000024833422,0.000090858804,0.00005257195,0.000119750985],"domain_scores_gemma":[0.9952041,0.0027589258,0.0006308144,0.00023649677,0.00024628808,0.00092345837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025878698,0.0011930543,0.0026692993,0.0011133288,0.0012813713,0.005384716,0.0029258025,0.0068052593,0.01124559],"category_scores_gemma":[0.007754106,0.001072808,0.0009886962,0.00088457303,0.003637355,0.0064552613,0.0026870077,0.0039372225,0.0011601372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028972726,0.00015971565,0.0011739903,0.00008215893,0.000085896776,0.0007824691,0.00017800891,0.34171456,0.0009446893,0.64687973,0.0039778748,0.0037311574],"study_design_scores_gemma":[0.00007882612,0.000037452275,0.00011307021,0.000009902519,0.000029158238,0.00006446165,0.000043822405,0.92504543,0.000057894205,0.07400926,0.00049040053,0.000020257605],"about_ca_topic_score_codex":0.0034211546,"about_ca_topic_score_gemma":0.00187821,"teacher_disagreement_score":0.01124559,"about_ca_system_score_codex":0.0010372032,"about_ca_system_score_gemma":0.0010669393,"threshold_uncertainty_score":0.037620187},"labels":[],"label_agreement":null},{"id":"W2133304719","doi":"10.1111/j.2041-6156.2009.tb00006.x","title":"Risk Measurement and Investment Myopia in Hedge Fund Management*","year":2009,"lang":"en","type":"article","venue":"Jeung'gweon hag'hoeji","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Hedge fund; Basis risk; Returns-based style analysis; Asset allocation; Portfolio; Open-end fund; Investment management; Manager of managers fund; Fund of funds; Business; Actuarial science; Performance fee; Management fee; Investment strategy; Hedge accounting; Investment fund; Risk management; Fund administration; Economics; Finance; Capital asset pricing model; Institutional investor; Corporate governance","score_opus":0.050824311031815374,"score_gpt":0.21691437065965244,"score_spread":0.16609005962783707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133304719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78121394,0.0056639775,0.18094118,0.0056454726,0.00013103285,0.00003702269,0.000033935266,0.0000478732,0.026285553],"genre_scores_gemma":[0.9964143,0.0002061702,0.0028921245,0.000040981766,0.000015341657,0.000004458822,0.0000025401723,0.0000021923045,0.0004217544],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99875796,0.00062162784,0.00010065931,0.000121041165,0.00030103233,0.0000978039],"domain_scores_gemma":[0.98952186,0.0074450723,0.001743224,0.00040855235,0.00064688374,0.00023447108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039872644,0.00033865467,0.00030594223,0.00055519014,0.0003795497,0.0018188364,0.00032229052,0.0006035595,0.0009434597],"category_scores_gemma":[0.02351079,0.00021276683,0.00021978274,0.0005219546,0.0015808119,0.0020918008,0.0013053636,0.0010303819,0.00006779158],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005292644,0.00017993616,0.07591197,0.00019073336,0.0001760115,0.00045485227,0.0014069959,0.11015183,0.0055058626,0.61933464,0.002116013,0.18404183],"study_design_scores_gemma":[0.00004923793,0.00040094415,0.05676835,0.00013516839,0.00007190949,0.00041424844,0.0010360909,0.3411313,0.0034122092,0.5922272,0.004243425,0.000109968074],"about_ca_topic_score_codex":0.0010944417,"about_ca_topic_score_gemma":0.00074964034,"teacher_disagreement_score":0.0039872644,"about_ca_system_score_codex":0.0011258058,"about_ca_system_score_gemma":0.0006119626,"threshold_uncertainty_score":0.021086931},"labels":[],"label_agreement":null},{"id":"W2133602173","doi":"10.2139/ssrn.1742559","title":"Fully Flexible Views in Multivariate Normal Markets","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Multivariate statistics; Multivariate normal distribution; New normal; Mathematics; Econometrics; Economics; Statistics; Medicine; Internal medicine; Coronavirus disease 2019 (COVID-19)","score_opus":0.04391234344685735,"score_gpt":0.22583422511186646,"score_spread":0.1819218816650091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133602173","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.377584,0.0012395704,0.5868486,0.004843156,0.0001991292,0.000052477786,0.0005961989,0.00050641806,0.02813036],"genre_scores_gemma":[0.97473663,0.0006034971,0.01693179,0.00025095147,0.0003132207,0.00003784486,0.00021997617,0.000111610294,0.00679433],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985208,0.00065539405,0.00006748549,0.00020616438,0.00029906677,0.00025116358],"domain_scores_gemma":[0.99149853,0.0041263136,0.0014608055,0.0012244754,0.0006564873,0.0010334025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004126223,0.0008633935,0.0014985478,0.0011486838,0.00074515224,0.0038688926,0.0013840952,0.002213201,0.008456407],"category_scores_gemma":[0.0165842,0.0008299798,0.001105416,0.0009773197,0.0024618604,0.01242451,0.0027239502,0.003038091,0.0007028915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014992958,0.000031279866,0.0006328359,0.000027268945,0.000028832306,0.00024769074,0.00014656784,0.023180164,0.00084582315,0.9669361,0.0012534107,0.0065201772],"study_design_scores_gemma":[0.000029658617,0.000022004582,0.00031978474,0.0000057181214,0.0000064522496,0.00006862167,0.000037361584,0.12155367,0.00010849881,0.8774078,0.00042412378,0.000016382059],"about_ca_topic_score_codex":0.001250768,"about_ca_topic_score_gemma":0.0009219316,"teacher_disagreement_score":0.008456407,"about_ca_system_score_codex":0.00084880716,"about_ca_system_score_gemma":0.0005514257,"threshold_uncertainty_score":0.028289497},"labels":[],"label_agreement":null},{"id":"W2133731482","doi":"10.5539/ibr.v4n3p228","title":"Research on the Income Volatility of Listed Banks in China: Based on the Fair Value Measurement","year":2011,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Volatility (finance); Fair value; Economics; China; Earnings before interest and taxes; Monetary economics; Implied volatility; Financial economics; Business; Accounting","score_opus":0.30294421829752693,"score_gpt":0.3441860520137624,"score_spread":0.041241833716235465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133731482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966012,0.00020908378,0.0011268515,0.00033433453,0.000008828582,0.000008120266,0.00010048859,0.0000042420115,0.0016068564],"genre_scores_gemma":[0.99960285,0.00010234695,0.000087982065,0.000010564288,0.000009548864,0.0000022477054,0.000058272897,6.1075525e-7,0.00012564735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992061,0.00016700279,0.00006533446,0.00014897811,0.0002815968,0.00013088562],"domain_scores_gemma":[0.99709857,0.0010362434,0.00090257387,0.00018331717,0.00058421196,0.000195144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014219357,0.00018344108,0.00028005659,0.0014039142,0.00048820674,0.0011353381,0.00041407725,0.0003056122,0.0008292201],"category_scores_gemma":[0.004849214,0.0001292789,0.00038954613,0.0018123293,0.000585225,0.0014913908,0.00056887185,0.000531242,0.00005305575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000811849,0.00007312096,0.9623072,0.000042758515,0.00012000959,0.00036032128,0.0011099587,0.0051823882,0.000711831,0.0118998885,0.0006211894,0.017490143],"study_design_scores_gemma":[0.0000090464855,0.000061749146,0.9515134,0.000022747547,0.00008922618,0.00009388318,0.001265091,0.0374981,0.00077488646,0.0077927294,0.00084773445,0.0000313932],"about_ca_topic_score_codex":0.014026622,"about_ca_topic_score_gemma":0.010626225,"teacher_disagreement_score":0.014026622,"about_ca_system_score_codex":0.0014982532,"about_ca_system_score_gemma":0.0008879801,"threshold_uncertainty_score":0.027889907},"labels":[],"label_agreement":null},{"id":"W2134432757","doi":"10.2139/ssrn.1569064","title":"What Ties Return Volatilities to Price Valuations and Fundamentals?","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economics; Financial economics; Econometrics","score_opus":0.018601501236320147,"score_gpt":0.22834166228577246,"score_spread":0.2097401610494523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134432757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9612536,0.0036470855,0.012654232,0.0064626965,0.00013005335,0.000011565546,0.00038193053,0.00011477847,0.0153440945],"genre_scores_gemma":[0.99685466,0.0010254106,0.00063301047,0.00027080314,0.00017206502,0.0000025534807,0.00011081227,0.00003791485,0.00089279946],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946564,0.00013190102,0.00004729504,0.0001726312,0.0000921696,0.00009026335],"domain_scores_gemma":[0.96972823,0.019109448,0.0074175564,0.0015502366,0.0010950541,0.0010994942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024330912,0.00032048306,0.0006859396,0.0018376539,0.0003676474,0.005566725,0.00070719706,0.0022843317,0.007290796],"category_scores_gemma":[0.042645916,0.0006040127,0.00039509786,0.0021005734,0.0017291461,0.009524806,0.0010174807,0.0017822669,0.0015505835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003528353,0.0003658146,0.775927,0.0002762965,0.0014473768,0.00039819567,0.0011411973,0.014301185,0.002309701,0.055576894,0.0043871654,0.1435163],"study_design_scores_gemma":[0.00006657157,0.00019119323,0.7011139,0.00019482126,0.0004765157,0.0011970359,0.0020636467,0.043048576,0.0010650806,0.24623771,0.004204571,0.00014045449],"about_ca_topic_score_codex":0.0018429129,"about_ca_topic_score_gemma":0.0017069425,"teacher_disagreement_score":0.007290796,"about_ca_system_score_codex":0.00045739944,"about_ca_system_score_gemma":0.00035698322,"threshold_uncertainty_score":0.024390161},"labels":[],"label_agreement":null},{"id":"W2134750878","doi":"10.2139/ssrn.1974053","title":"Dynamic Risk, Accounting-Based Valuation and Firm Fundamentals","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Alberta; University of Toronto; Kellogg's (Canada)","funders":"","keywords":"Economics; Residual income valuation; Valuation (finance); Econometrics; Cost of capital; Earnings response coefficient; Dividend yield; Earnings; Financial economics; Unobservable; Dividend; Accounting; Microeconomics; Dividend policy; Finance","score_opus":0.02471940993347365,"score_gpt":0.2141995636925689,"score_spread":0.18948015375909524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134750878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98397636,0.0009959791,0.00763193,0.0006326386,0.000018135886,0.000010685641,0.00019853866,0.000028512657,0.0065072374],"genre_scores_gemma":[0.9992142,0.00013769114,0.00018643257,0.000008186918,0.000011844947,9.953478e-7,0.00005246125,0.0000022213417,0.0003859629],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971884,0.00008694391,0.000029760631,0.00006115075,0.000055758097,0.000047513746],"domain_scores_gemma":[0.99047273,0.0050108978,0.0032489155,0.0005049825,0.00036500138,0.0003974234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016457204,0.00027822296,0.0003660198,0.0007005385,0.00024154695,0.0041550226,0.00045048815,0.0009110443,0.0030672273],"category_scores_gemma":[0.014798131,0.00024198538,0.00024187144,0.00093137764,0.000767962,0.0032681124,0.00066942803,0.000986713,0.0002995315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009575008,0.00059547677,0.59330046,0.00013831597,0.00040446472,0.001288205,0.0007340419,0.11230129,0.0069488646,0.21585074,0.0026937572,0.06478676],"study_design_scores_gemma":[0.000060933304,0.00022406288,0.49573597,0.000051547144,0.00014241626,0.0007749283,0.00045922183,0.19447671,0.0010437104,0.30549365,0.0014382366,0.000098634555],"about_ca_topic_score_codex":0.0014555771,"about_ca_topic_score_gemma":0.0014860498,"teacher_disagreement_score":0.0041550226,"about_ca_system_score_codex":0.0007593315,"about_ca_system_score_gemma":0.0003296341,"threshold_uncertainty_score":0.01026088},"labels":[],"label_agreement":null},{"id":"W2135299523","doi":"","title":"The Disposition Effect and Momentum","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Disposition effect; Economics; Stock (firearms); Momentum (technical analysis); Financial economics; Monetary economics; Econometrics","score_opus":0.008100694664714024,"score_gpt":0.1804708280032771,"score_spread":0.17237013333856308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135299523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89815235,0.0015475103,0.0064773615,0.0024451972,0.00014473691,0.000056625493,0.00024000296,0.00005681412,0.0908794],"genre_scores_gemma":[0.9969747,0.00028301743,0.00024784077,0.00008646975,0.0000683869,0.000005530421,0.00004191505,0.0000043644213,0.0022878633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969876,0.00006509047,0.000027063634,0.000063079075,0.00006179887,0.00008422626],"domain_scores_gemma":[0.9933094,0.0033147715,0.0018651031,0.0005615525,0.00026614853,0.00068304734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010832183,0.000198448,0.00033744113,0.00063142757,0.0005287122,0.0017847985,0.00021663925,0.0009652753,0.018666785],"category_scores_gemma":[0.013880086,0.00018975415,0.00029976404,0.0005774601,0.0011962593,0.0026516505,0.0010843901,0.0009328817,0.000726724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016073465,0.0006239436,0.5741987,0.00014988861,0.00019467561,0.0017014054,0.0010024201,0.0071105957,0.0023235613,0.30667555,0.0038819502,0.10052997],"study_design_scores_gemma":[0.00028358467,0.0005718443,0.6441734,0.00008771741,0.00017871275,0.0016726487,0.001078584,0.009670748,0.0008694001,0.33160767,0.009736424,0.00006925611],"about_ca_topic_score_codex":0.0013478023,"about_ca_topic_score_gemma":0.0009702709,"teacher_disagreement_score":0.018666785,"about_ca_system_score_codex":0.00041511332,"about_ca_system_score_gemma":0.00040871566,"threshold_uncertainty_score":0.062446594},"labels":[],"label_agreement":null},{"id":"W2135447780","doi":"10.1007/978-1-4615-1133-5_11","title":"Impact of Private Investor Information in Equity Markets","year":2003,"lang":"en","type":"book-chapter","venue":"Kluwer series in accounting scholarship","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Private information retrieval; Private investment in public equity; Incentive; Business; Equity (law); Earnings; Position (finance); Public information; Accounting information system; Accounting; Private equity; Private equity fund; Finance; Monetary economics; Economics; Microeconomics; Public relations","score_opus":0.040643471700025434,"score_gpt":0.2584455423154119,"score_spread":0.21780207061538645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135447780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6567419,0.011527195,0.008680939,0.031378713,0.00041763962,0.000059794565,0.0014926112,0.00016381375,0.2895374],"genre_scores_gemma":[0.9870309,0.0024799188,0.00035240938,0.00031865572,0.00032414394,0.0000061185533,0.00010967128,0.000024849174,0.009353253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987748,0.00048291485,0.00004668305,0.00011302369,0.00033579534,0.00024673325],"domain_scores_gemma":[0.95926136,0.0328971,0.0031600695,0.0014251246,0.0018019448,0.0014543821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004005822,0.00038511943,0.00080024375,0.0010576658,0.0007921517,0.006039004,0.00053400855,0.0021973806,0.02584058],"category_scores_gemma":[0.031019764,0.00036549574,0.0005716199,0.0011530805,0.0018526847,0.00886307,0.0015660325,0.0027026501,0.001160199],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001925713,0.001385337,0.035451114,0.00029112442,0.00024255048,0.000873547,0.0008086898,0.032089975,0.0017559679,0.7855434,0.029179934,0.11045271],"study_design_scores_gemma":[0.00023466426,0.00023686454,0.033512145,0.00013114052,0.0002465857,0.0001909569,0.0009874074,0.045506597,0.0020001228,0.9050446,0.011853992,0.000054974607],"about_ca_topic_score_codex":0.0032139001,"about_ca_topic_score_gemma":0.003889705,"teacher_disagreement_score":0.02584058,"about_ca_system_score_codex":0.0017574598,"about_ca_system_score_gemma":0.001733481,"threshold_uncertainty_score":0.08644533},"labels":[],"label_agreement":null},{"id":"W2135531855","doi":"10.1108/14757701211228200","title":"More power to you: properties of a more powerful event study methodology","year":2012,"lang":"en","type":"article","venue":"Review of Accounting and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Null hypothesis; Null (SQL); Estimator; Econometrics; Event study; Event (particle physics); Statistical hypothesis testing; Sample (material); Alternative hypothesis; Sample size determination; Originality; Statistical power; Computer science; Power (physics); Statistics; Data mining; Economics; Mathematics; Psychology; Geography","score_opus":0.07254051274649206,"score_gpt":0.29649754055164107,"score_spread":0.223957027805149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135531855","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020241855,0.0007463254,0.9633907,0.004433416,0.0005317515,0.0008169755,0.00032902975,0.0003760907,0.009133933],"genre_scores_gemma":[0.46609214,0.0005701915,0.5210164,0.004049113,0.0013437648,0.0033559478,0.00029517373,0.0003769318,0.0029003297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.8031969,0.16862014,0.0049047614,0.010844382,0.01147446,0.0009593595],"domain_scores_gemma":[0.18388051,0.7488845,0.0115781985,0.04649727,0.007644833,0.0015147146],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.21868499,0.0013640794,0.0022639246,0.0027225153,0.0015738477,0.005124434,0.0034157382,0.0034555886,0.021028182],"category_scores_gemma":[0.5561322,0.0010343544,0.0030629407,0.003345588,0.00841435,0.013465317,0.0066838544,0.007534023,0.0019103223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014058078,0.00038990862,0.027928773,0.0014981774,0.0011805979,0.00061744533,0.0049649174,0.016827159,0.0012600991,0.6624289,0.0070995893,0.27439865],"study_design_scores_gemma":[0.0009320023,0.0022857415,0.010909464,0.0006752359,0.00047704118,0.0009229592,0.0011722158,0.101095736,0.0016765511,0.8506106,0.0290674,0.00017501095],"about_ca_topic_score_codex":0.00083732774,"about_ca_topic_score_gemma":0.0004944988,"teacher_disagreement_score":0.21868499,"about_ca_system_score_codex":0.0011495255,"about_ca_system_score_gemma":0.0027217204,"threshold_uncertainty_score":0.9635005},"labels":[],"label_agreement":null},{"id":"W2135720058","doi":"10.2139/ssrn.2317797","title":"Trading Fast and Slow: Colocation and Market Quality","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Quality (philosophy); Pairs trade; Business; Economics; Computer science; Algorithmic trading; Monetary economics; Financial economics; Econometrics; Alternative trading system; Physics","score_opus":0.01708629738779038,"score_gpt":0.21573362443117672,"score_spread":0.19864732704338633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135720058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909424,0.00040145218,0.0021530648,0.0007448848,0.000031168773,0.00002226094,0.0001745217,0.00004450972,0.005485718],"genre_scores_gemma":[0.9993125,0.000031674885,0.00010425628,0.00004142704,0.000026035475,0.0000022489498,0.0000704935,0.000020155452,0.00039103752],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998317,0.00050765136,0.00018582694,0.00029507585,0.000314727,0.00037979148],"domain_scores_gemma":[0.8981463,0.05907871,0.024394197,0.0064293286,0.003446867,0.008504681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041747577,0.00017022034,0.0007147327,0.001527274,0.0007929327,0.0058916607,0.00082850066,0.0013404167,0.014995361],"category_scores_gemma":[0.06274358,0.00032433812,0.0004481246,0.0013631611,0.002017772,0.004118309,0.0021739905,0.0019745475,0.00090002554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039836904,0.0004789941,0.948826,0.000091876915,0.00038163507,0.00038804425,0.0016119912,0.0037269003,0.0027649247,0.007305704,0.0014061633,0.029034002],"study_design_scores_gemma":[0.00038276115,0.0005343873,0.9446767,0.000053254233,0.0002508077,0.000678828,0.004019864,0.015752262,0.0013756274,0.03014882,0.0020203672,0.00010630992],"about_ca_topic_score_codex":0.0034960767,"about_ca_topic_score_gemma":0.0032586062,"teacher_disagreement_score":0.014995361,"about_ca_system_score_codex":0.000668993,"about_ca_system_score_gemma":0.00043542488,"threshold_uncertainty_score":0.05016452},"labels":[],"label_agreement":null},{"id":"W2135765026","doi":"10.1002/fut.21754","title":"To Squeeze or Not to Squeeze? That Is No Longer the Question","year":2015,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal; Université du Québec à Montréal","funders":"","keywords":"Notional amount; Incentive; Futures contract; Futures market; Economics; Economic shortage; Bond; Coupon; Financial economics; Monetary economics; Econometrics; Microeconomics; Finance","score_opus":0.053866303017749854,"score_gpt":0.2766402666980069,"score_spread":0.22277396368025704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135765026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43236753,0.021945572,0.025864825,0.36040086,0.004765529,0.00012198549,0.0009652553,0.00032108856,0.15324731],"genre_scores_gemma":[0.9632021,0.0039549223,0.0048377677,0.012198597,0.0014116948,0.000027632697,0.00012884961,0.00009441387,0.014143921],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99810886,0.00046346345,0.00012512213,0.00046675975,0.00056882366,0.00026683655],"domain_scores_gemma":[0.9890515,0.0039860005,0.002833162,0.0011588236,0.0014808665,0.0014896095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044021774,0.00030236886,0.00059038366,0.00048353325,0.0010572205,0.0032240315,0.00089918036,0.0027853756,0.015198111],"category_scores_gemma":[0.021552904,0.00021389672,0.0004030139,0.0005075224,0.0045776153,0.008570052,0.0013657132,0.0034554899,0.0019111834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011202166,0.0006690254,0.06627879,0.0012920337,0.00036789995,0.0014866778,0.0040972144,0.002976455,0.009189748,0.5420324,0.08757274,0.28291675],"study_design_scores_gemma":[0.00013347616,0.00056163146,0.05786833,0.001308323,0.00015301864,0.0030717105,0.015346242,0.007182065,0.0059614046,0.5667801,0.34133524,0.00029855658],"about_ca_topic_score_codex":0.001642119,"about_ca_topic_score_gemma":0.001602645,"teacher_disagreement_score":0.015198111,"about_ca_system_score_codex":0.00093709317,"about_ca_system_score_gemma":0.0015564241,"threshold_uncertainty_score":0.050842762},"labels":[],"label_agreement":null},{"id":"W2135813515","doi":"10.1002/cjas.1339","title":"Les effets du gel d'une caisse de retraite sur la performance et le risque des entreprises","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"","keywords":"Political science; Pension fund; Humanities; Pension; Art","score_opus":0.11207009922925328,"score_gpt":0.280595239889471,"score_spread":0.16852514066021773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135813515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954507,0.0016223472,0.00026069052,0.0010089092,0.00006185315,0.000013029667,0.00011594723,0.00002171492,0.0014449002],"genre_scores_gemma":[0.9984511,0.0003253545,0.00012478886,0.000085293126,0.00004883676,0.000009716912,0.00006311755,0.000003472813,0.0008882545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990435,0.00032925242,0.00008014855,0.0001036608,0.00026113662,0.00018223164],"domain_scores_gemma":[0.9762132,0.012707945,0.006262151,0.0008405813,0.0010934742,0.0028825724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033250232,0.00033290152,0.00050946814,0.00047156436,0.0003298809,0.0012247955,0.0004930708,0.0012108583,0.00566775],"category_scores_gemma":[0.021442525,0.00011456288,0.00051399495,0.00026941646,0.00072073983,0.000587321,0.0007541379,0.0014069685,0.00041242698],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.040038705,0.0034354557,0.67161083,0.0009776241,0.0015154139,0.0015033298,0.0015399492,0.010958837,0.015882349,0.005675442,0.0054259975,0.24143611],"study_design_scores_gemma":[0.0010523797,0.017089069,0.9374243,0.00048479528,0.00094715226,0.0014110052,0.0027227614,0.010171772,0.010548924,0.004926611,0.013121776,0.000099358105],"about_ca_topic_score_codex":0.0042320234,"about_ca_topic_score_gemma":0.0022260258,"teacher_disagreement_score":0.00566775,"about_ca_system_score_codex":0.001148611,"about_ca_system_score_gemma":0.0007152798,"threshold_uncertainty_score":0.018960476},"labels":[],"label_agreement":null},{"id":"W2136387032","doi":"","title":"A Comparison of China Main Board and Growth Enterprise Market Board - Market Microstructure Approach","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"inVentiv Health Clinical","funders":"","keywords":"Business; Listing (finance); Market microstructure; Information asymmetry; Database transaction; China; On board; Currency board; Accounting; Finance; Order (exchange); Exchange rate","score_opus":0.008476598396030398,"score_gpt":0.20433578037179057,"score_spread":0.19585918197576016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136387032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940745,0.00015301918,0.0012408516,0.00006388968,0.00000781841,0.000029507188,0.00043796704,0.000022412356,0.0039699394],"genre_scores_gemma":[0.9978034,0.000054609285,0.0003014404,0.000012320396,0.000015618527,0.000007227786,0.0006461259,0.000004330735,0.0011549816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962986,0.00004238871,0.000027122382,0.000089296904,0.000120634715,0.00009071946],"domain_scores_gemma":[0.997609,0.0003931624,0.0008380396,0.0001799596,0.0006699773,0.0003097425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008749899,0.00023375574,0.00029788117,0.0022155747,0.00026839328,0.0012159084,0.000326697,0.00027378194,0.004218904],"category_scores_gemma":[0.0036049285,0.00010952018,0.00035650574,0.0016114026,0.00030953862,0.0012512149,0.0005969813,0.00022137268,0.00025518713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029101426,0.000083020255,0.9552677,0.00006846412,0.00017905408,0.00044784555,0.00052328967,0.004648963,0.0027545465,0.006754119,0.0017141629,0.027267752],"study_design_scores_gemma":[0.000013891254,0.00008185213,0.9786092,0.0000062865697,0.00005381105,0.000058454196,0.00021283902,0.017739309,0.0006236708,0.001165202,0.0014231964,0.000012343172],"about_ca_topic_score_codex":0.021963466,"about_ca_topic_score_gemma":0.02278653,"teacher_disagreement_score":0.021963466,"about_ca_system_score_codex":0.0008958256,"about_ca_system_score_gemma":0.0004784477,"threshold_uncertainty_score":0.04367125},"labels":[],"label_agreement":null},{"id":"W2136408050","doi":"10.2139/ssrn.1898735","title":"Do Realized Skewness and Kurtosis Predict the Cross-Section of Equity Returns?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Wilfrid Laurier University","funders":"","keywords":"Decile; Kurtosis; Skewness; Econometrics; Statistic; Stock (firearms); Economics; Volatility (finance); Equity (law); Financial economics; Statistics; Mathematics; Geography","score_opus":0.04518900027793729,"score_gpt":0.25523480150591277,"score_spread":0.21004580122797548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136408050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981159,0.00021308957,0.0005850351,0.00025511364,0.000013827623,0.000002787999,0.00015911543,0.000011514418,0.00064368657],"genre_scores_gemma":[0.9994369,0.0000918791,0.00006720121,0.000029926368,0.000026367723,0.0000018091644,0.0001702057,0.0000060396246,0.00016971005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993795,0.00023319224,0.00006213839,0.00010920301,0.00007900992,0.00013687345],"domain_scores_gemma":[0.9696546,0.017730404,0.0070397523,0.0023760253,0.0010313937,0.0021677946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037666252,0.00060954684,0.0006573028,0.0009494423,0.00027830945,0.0025084873,0.0008028058,0.00207854,0.0035887703],"category_scores_gemma":[0.025848864,0.00061266,0.00093353435,0.000789131,0.0010353309,0.003323483,0.0008692341,0.0014992944,0.0021959152],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022484658,0.00008103297,0.9941729,0.000008642972,0.00013836737,0.00007653829,0.00008887822,0.0011211841,0.00025178428,0.00032317042,0.00020037155,0.003312326],"study_design_scores_gemma":[0.000025728485,0.00012321182,0.9838389,0.00001308107,0.0000662767,0.00021179153,0.00025184613,0.010961613,0.00030114278,0.0039900113,0.00019316563,0.000023247696],"about_ca_topic_score_codex":0.002356105,"about_ca_topic_score_gemma":0.0020504966,"teacher_disagreement_score":0.0037666252,"about_ca_system_score_codex":0.00025767946,"about_ca_system_score_gemma":0.0003983156,"threshold_uncertainty_score":0.019920051},"labels":[],"label_agreement":null},{"id":"W2136447435","doi":"10.1017/s0022109000003549","title":"Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression","year":2008,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Spurious relationship; Econometrics; Capital asset pricing model; Regression; Regression analysis; Economics; Statistics; Mathematics","score_opus":0.06951385231666223,"score_gpt":0.2733289161989468,"score_spread":0.20381506388228454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136447435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5800266,0.0022743102,0.4111478,0.0022185508,0.00016348991,0.000058358757,0.0004277753,0.0010370947,0.0026459387],"genre_scores_gemma":[0.9853511,0.00024367163,0.013447512,0.00020506141,0.00009425347,0.000017271615,0.00019305431,0.00007101502,0.00037719877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9823423,0.012581266,0.00094713765,0.0016445151,0.0019154259,0.0005693225],"domain_scores_gemma":[0.57294285,0.3404773,0.037531286,0.037100535,0.010657602,0.0012903715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04320449,0.00060790847,0.0012181028,0.0009674642,0.00057826674,0.0021726678,0.0015648268,0.0010507676,0.00084023934],"category_scores_gemma":[0.2590166,0.00068282033,0.0008470269,0.0022159447,0.0023182065,0.002720208,0.0016854818,0.0031206564,0.0002102384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010011815,0.00025247945,0.41466588,0.00032112355,0.0014336123,0.0014720361,0.0008450968,0.4334369,0.0020899477,0.052810404,0.004968136,0.086703196],"study_design_scores_gemma":[0.00006164324,0.000112701506,0.042747788,0.00013141843,0.00030841527,0.00043422816,0.00019411942,0.87540567,0.003018594,0.07596169,0.001559021,0.00006468386],"about_ca_topic_score_codex":0.0075631547,"about_ca_topic_score_gemma":0.004572727,"teacher_disagreement_score":0.04320449,"about_ca_system_score_codex":0.00092511857,"about_ca_system_score_gemma":0.0009539648,"threshold_uncertainty_score":0.22848988},"labels":[],"label_agreement":null},{"id":"W2136719899","doi":"10.7202/1030393ar","title":"Impact des rumeurs d’offres publiques d’acquisition sur la liquidité : cas des entreprises françaises cibles","year":2015,"lang":"fr","type":"article","venue":"Management international","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.04347226166736493,"score_gpt":0.26053631686791856,"score_spread":0.21706405520055364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136719899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899927,0.0008636083,0.000360822,0.0005786438,0.000012065926,0.000012649927,0.00021753793,0.000010613227,0.007951332],"genre_scores_gemma":[0.99691844,0.00033887025,0.00013796664,0.000037643094,0.000024448103,0.0000058820115,0.000103752696,0.0000039651204,0.0024290686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876523,0.00039111287,0.00007395639,0.00014119595,0.00039254254,0.00023599106],"domain_scores_gemma":[0.9689038,0.018536042,0.0074684373,0.0009088757,0.00320235,0.000980659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002786711,0.0003489559,0.00038935454,0.0015753597,0.00088612485,0.0036371928,0.00034355177,0.0008895891,0.006153263],"category_scores_gemma":[0.015684292,0.00019660998,0.00022724002,0.0012167953,0.0010535868,0.0015753036,0.00071702496,0.0010161627,0.0006615751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026729512,0.00044660916,0.89174217,0.00039903712,0.0004375155,0.0033312116,0.009934236,0.0055239988,0.0094874175,0.00916129,0.0023457634,0.064517744],"study_design_scores_gemma":[0.000078395424,0.0005240754,0.9490356,0.00020684407,0.00031888435,0.0010003294,0.014327643,0.011183879,0.0053258864,0.0036282574,0.014276802,0.00009344307],"about_ca_topic_score_codex":0.048384972,"about_ca_topic_score_gemma":0.026257867,"teacher_disagreement_score":0.048384972,"about_ca_system_score_codex":0.0018282109,"about_ca_system_score_gemma":0.0008295873,"threshold_uncertainty_score":0.096206665},"labels":[],"label_agreement":null},{"id":"W2136796971","doi":"10.3386/w17043","title":"Incentives and the Effects of Publication Lags on Life Cycle Research Productivity in Economics","year":2011,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incentive; Productivity; Economics; Agricultural economics; Public economics; Macroeconomics; Microeconomics","score_opus":0.3037274027421068,"score_gpt":0.43125911587146354,"score_spread":0.12753171312935674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136796971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98848,0.001852101,0.0017304234,0.0015289491,0.000056826717,0.000045430643,0.0037801147,0.000047540354,0.0024786345],"genre_scores_gemma":[0.99640805,0.00033245032,0.00048278048,0.00009778963,0.00008155479,0.000024831854,0.0014498464,0.000011621242,0.0011110355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9922008,0.0024166992,0.0011241063,0.0011293049,0.0016896044,0.001439447],"domain_scores_gemma":[0.5900302,0.1885427,0.17581731,0.0144843105,0.0137552,0.017370293],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.022861265,0.00026977708,0.0004995262,0.0042980104,0.0009860749,0.0032603785,0.0010561363,0.00088939286,0.0050426456],"category_scores_gemma":[0.14856535,0.00034948275,0.0005906983,0.0056640855,0.0010128799,0.0016677283,0.001469718,0.0010018379,0.0010329521],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002534081,0.00008462051,0.98761356,0.000044684803,0.000060731698,0.00006132798,0.00025966726,0.0013799027,0.00030308653,0.00069807994,0.00071240653,0.008528473],"study_design_scores_gemma":[0.000023434255,0.00012663123,0.9948259,0.000025441283,0.000028068966,0.00007335126,0.0002573711,0.0015576918,0.00032079328,0.0010676531,0.0016778291,0.000015883197],"about_ca_topic_score_codex":0.01244129,"about_ca_topic_score_gemma":0.017357932,"teacher_disagreement_score":0.97713876,"about_ca_system_score_codex":0.0024759255,"about_ca_system_score_gemma":0.0031097382,"threshold_uncertainty_score":0.12090331},"labels":[],"label_agreement":null},{"id":"W2137047856","doi":"10.2139/ssrn.1703176","title":"Filter Rules: Follow the Trend, or Take the Contrarian Approach?","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Contrarian; Filter (signal processing); Computer science; Business; Economics; Financial economics; Computer vision","score_opus":0.022011540919338646,"score_gpt":0.20099070404718902,"score_spread":0.17897916312785037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137047856","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08622905,0.0034874852,0.8646069,0.014217742,0.0011511248,0.00009515473,0.0003434473,0.0013626271,0.028506432],"genre_scores_gemma":[0.84383327,0.0035001335,0.11557113,0.0057776202,0.0025328372,0.00013952795,0.00039313844,0.00085135014,0.027401073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973061,0.0007025772,0.00020183499,0.00090502325,0.00058412354,0.000300346],"domain_scores_gemma":[0.97451174,0.015400233,0.0027570324,0.0041068653,0.0026510656,0.0005730279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007905006,0.0006512757,0.0023044127,0.001196437,0.0009375835,0.0052586794,0.0027612573,0.0040722317,0.010452009],"category_scores_gemma":[0.05801404,0.00055612257,0.0010891152,0.0012837584,0.002045689,0.011930531,0.0009989039,0.003455666,0.0027381543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027649433,0.00014152493,0.014005168,0.00023354887,0.00062489416,0.00030510902,0.00041143785,0.016742025,0.0009998549,0.71763366,0.0189027,0.22972363],"study_design_scores_gemma":[0.00010538138,0.00012505903,0.005649472,0.00012347526,0.00022640792,0.0004920431,0.00022231971,0.1630716,0.0012674157,0.8201244,0.008492856,0.00009955163],"about_ca_topic_score_codex":0.00494432,"about_ca_topic_score_gemma":0.0048925714,"teacher_disagreement_score":0.010452009,"about_ca_system_score_codex":0.00096412405,"about_ca_system_score_gemma":0.0010509599,"threshold_uncertainty_score":0.04180616},"labels":[],"label_agreement":null},{"id":"W2137086917","doi":"10.1108/03074350210767618","title":"Superstardom and Institutional Investor’s All‐British Research Team","year":2002,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Luck; Earnings; Economics; Consistency (knowledge bases); Phenomenon; Financial economics; Institutional investor; Econometrics; Accounting; Management; Computer science","score_opus":0.09617511928637618,"score_gpt":0.24634103106112534,"score_spread":0.15016591177474917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137086917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9421787,0.0019080645,0.0019161747,0.0036620114,0.00006483092,0.00005662214,0.0011752907,0.00004617373,0.048992146],"genre_scores_gemma":[0.9935644,0.0003857897,0.0004297276,0.0002491387,0.000037989208,0.000014494727,0.00056217547,0.000011557394,0.0047445185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959424,0.00079944165,0.00033178163,0.00038336273,0.0015657503,0.0009772071],"domain_scores_gemma":[0.9584476,0.014219635,0.015458602,0.003150134,0.005593625,0.003130506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004892771,0.00014943177,0.00040465407,0.0028884094,0.0013716096,0.0016698462,0.0005046401,0.00038578786,0.0060396306],"category_scores_gemma":[0.023928968,0.0002192235,0.00023453888,0.0025738704,0.00094719033,0.0009275298,0.0015008486,0.0010065391,0.0009046316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032475454,0.000059711987,0.9007021,0.00006510023,0.00008030476,0.0006576909,0.0032758797,0.00040841164,0.00044034293,0.016538978,0.015385693,0.06206099],"study_design_scores_gemma":[0.000041633924,0.00012489718,0.9476105,0.00007825725,0.00003518052,0.00070164306,0.0024229425,0.0020505018,0.0009539097,0.0065987236,0.039341386,0.00004050763],"about_ca_topic_score_codex":0.056477163,"about_ca_topic_score_gemma":0.09091436,"teacher_disagreement_score":0.056477163,"about_ca_system_score_codex":0.0018086117,"about_ca_system_score_gemma":0.0014814136,"threshold_uncertainty_score":0.11229688},"labels":[],"label_agreement":null},{"id":"W2138130563","doi":"10.6000/1929-7092.2015.04.04","title":"Are the Hot IPOs Still Relevant? Evidence from China's Growth Enterprise Market","year":2015,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Initial public offering; Stock (firearms); China; Stock market; Monetary economics; Business; Financial economics; Economics; Econometrics","score_opus":0.06567643716229506,"score_gpt":0.2568024994890198,"score_spread":0.19112606232672474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138130563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929132,0.0012386475,0.00008882556,0.001142563,0.000019200057,0.000010029414,0.00020600749,0.000005616974,0.0043758918],"genre_scores_gemma":[0.9982658,0.0008239325,0.000022787275,0.00012999082,0.00008302711,0.0000018163848,0.00020041245,0.000002006054,0.0004701564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972624,0.000039293165,0.000019630954,0.000051842653,0.00008540304,0.00007745837],"domain_scores_gemma":[0.993775,0.0016005816,0.0030772267,0.00033405542,0.00063367916,0.0005794512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010438184,0.00019931763,0.00023402109,0.0008519949,0.0004369302,0.0012288059,0.00039423344,0.00058323814,0.004032363],"category_scores_gemma":[0.0046915207,0.000106263884,0.00020652858,0.00085796363,0.0009879058,0.0017265939,0.0007588027,0.0005985729,0.00039872533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008848026,0.0001965406,0.92811245,0.00030958356,0.00015366211,0.0020462729,0.0022397123,0.00048745592,0.0025380196,0.0048283,0.0044007683,0.053802423],"study_design_scores_gemma":[0.00003463137,0.00010646378,0.9929842,0.000031979456,0.00006968541,0.00013642259,0.0011538458,0.0006938399,0.000624461,0.00076573004,0.0033876998,0.000010973332],"about_ca_topic_score_codex":0.008123283,"about_ca_topic_score_gemma":0.007822596,"teacher_disagreement_score":0.008123283,"about_ca_system_score_codex":0.0003923231,"about_ca_system_score_gemma":0.00037561095,"threshold_uncertainty_score":0.016151965},"labels":[],"label_agreement":null},{"id":"W2138203870","doi":"10.2139/ssrn.1160305","title":"Some Insiders are Indeed Smart Investors","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Insider trading; Portfolio; Insider; Construct (python library); Business; Investment (military); Investment strategy; Ex-ante; Monetary economics; Finance; Financial economics; Economics; Computer science; Market liquidity","score_opus":0.02856116241406341,"score_gpt":0.19673518542392712,"score_spread":0.16817402300986373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138203870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7695358,0.0027056194,0.013743474,0.041096766,0.000764144,0.00008817697,0.0003797821,0.00033924697,0.17134698],"genre_scores_gemma":[0.97206724,0.00074497744,0.00088386127,0.004560736,0.00034863583,0.000010834469,0.00006310328,0.000027358126,0.0212932],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99947935,0.000091598304,0.000025292731,0.000112609196,0.00014418436,0.00014700039],"domain_scores_gemma":[0.9933314,0.001593097,0.002929778,0.0008123113,0.0005722444,0.00076116505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001319325,0.0001898562,0.00041176114,0.0004734421,0.0008391616,0.0034776772,0.00028935669,0.0013641086,0.010929238],"category_scores_gemma":[0.0077566593,0.00022464884,0.00023873443,0.00048236348,0.0019251178,0.0033813897,0.0006871092,0.0016160366,0.002016738],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097339536,0.00028962235,0.2665333,0.0004477292,0.0005592773,0.0038347344,0.010141088,0.0025673131,0.010189254,0.35479304,0.107688114,0.24198316],"study_design_scores_gemma":[0.00028768997,0.0006018069,0.22053227,0.00040242585,0.00040098507,0.0075750067,0.018215133,0.0102231465,0.010910484,0.43537298,0.29522508,0.0002529997],"about_ca_topic_score_codex":0.00048290982,"about_ca_topic_score_gemma":0.0009041779,"teacher_disagreement_score":0.010929238,"about_ca_system_score_codex":0.00035503967,"about_ca_system_score_gemma":0.00024800608,"threshold_uncertainty_score":0.036561906},"labels":[],"label_agreement":null},{"id":"W2138234717","doi":"10.2139/ssrn.1646160","title":"The Long and Short of Leveraged ETFs: The Financial Crisis and Performance Attribution","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Business; Financial crisis; Attribution; Structured finance; Financial system; Finance; Accounting; Economics; Psychology","score_opus":0.01779495772395569,"score_gpt":0.20597603086308366,"score_spread":0.18818107313912796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138234717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755304,0.0020756477,0.0007778959,0.007852313,0.00016329922,0.000007874715,0.00073243235,0.00004495266,0.012815236],"genre_scores_gemma":[0.9985733,0.00023399886,0.000029173036,0.00008066327,0.00016543515,0.0000020694229,0.00016050956,0.00001491759,0.0007399413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995338,0.00008110279,0.00004986934,0.00007226748,0.00011854223,0.00014445152],"domain_scores_gemma":[0.98137325,0.005397048,0.0076889405,0.0010783719,0.0018318925,0.00263044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019741189,0.00020202636,0.00041338234,0.0017116903,0.0005669546,0.0034897928,0.00056524656,0.0015214223,0.0076210154],"category_scores_gemma":[0.02420761,0.00014749587,0.00016671492,0.001960492,0.0012356667,0.0055866553,0.0018659774,0.0022003057,0.0010008309],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023608764,0.00034582953,0.8094185,0.00010161136,0.0001313718,0.00069336855,0.001901794,0.0036877336,0.0017513098,0.043456156,0.014599686,0.12155182],"study_design_scores_gemma":[0.000026563905,0.00015726282,0.9400513,0.000081115795,0.00003255758,0.00017709835,0.0019649563,0.005681547,0.00053735636,0.045674413,0.005572613,0.00004313816],"about_ca_topic_score_codex":0.0018772259,"about_ca_topic_score_gemma":0.0016180982,"teacher_disagreement_score":0.0076210154,"about_ca_system_score_codex":0.00069397705,"about_ca_system_score_gemma":0.00033213658,"threshold_uncertainty_score":0.025494874},"labels":[],"label_agreement":null},{"id":"W2138535709","doi":"10.1111/1468-5957.00321","title":"Institutional Investors, Analyst Following, and the January Anomaly","year":2000,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Stock (firearms); Seasonality; January effect; Economics; Monetary economics; Stock price; Anomaly (physics); Financial economics; Business; Demographic economics; Stock market; Geography; Statistics","score_opus":0.017813337766014205,"score_gpt":0.19884898259201458,"score_spread":0.18103564482600037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138535709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952266,0.00032656096,0.00015261106,0.0005750765,0.00001664742,0.000004606306,0.000057982437,0.0000135205455,0.0036263173],"genre_scores_gemma":[0.99950767,0.00007619248,0.000028687236,0.000033400374,0.000025380969,7.3043554e-7,0.00003506223,0.0000015392917,0.00029132562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966776,0.00007303561,0.00004147118,0.000045834684,0.00008219451,0.00008972746],"domain_scores_gemma":[0.98281556,0.0026453831,0.012185707,0.00063451484,0.000573756,0.0011452048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010665826,0.00007630282,0.00017548485,0.00064371596,0.00027723078,0.001237994,0.00022377474,0.00038710563,0.0020131203],"category_scores_gemma":[0.010863611,0.00007814828,0.00010992761,0.0007012188,0.000424918,0.0006510423,0.0004635725,0.00036689828,0.0002059365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003519253,0.00009961597,0.9713677,0.000015131233,0.000053507334,0.00022963135,0.0002332088,0.0003975749,0.00067794276,0.002053237,0.0012156409,0.023304835],"study_design_scores_gemma":[0.000011473267,0.000059757513,0.99547404,0.0000081208345,0.000028017375,0.00024562972,0.00033109283,0.0007372555,0.00034338672,0.0013549441,0.0013985548,0.0000078056655],"about_ca_topic_score_codex":0.0030253974,"about_ca_topic_score_gemma":0.0053942497,"teacher_disagreement_score":0.0030253974,"about_ca_system_score_codex":0.0005526633,"about_ca_system_score_gemma":0.00035636657,"threshold_uncertainty_score":0.00673455},"labels":[],"label_agreement":null},{"id":"W2138705581","doi":"10.5539/ijef.v7n10p112","title":"Analysis of Liquidity-Study on Indian Mid-Cap Stocks","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Liquidity premium; Liquidity risk; Liquidity crisis; Economics; Capital asset pricing model; Accounting liquidity; Financial economics; Dividend yield; Volatility (finance); Monetary economics; Econometrics; Granger causality; Dividend; Finance; Dividend policy","score_opus":0.04937314144430278,"score_gpt":0.25383590486487495,"score_spread":0.20446276342057218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138705581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891077,0.0024288446,0.00046351532,0.0003292855,0.000015278007,0.00002078453,0.0011445394,0.000029401031,0.0064605307],"genre_scores_gemma":[0.99691284,0.00072511827,0.00022784634,0.000052248808,0.000037105256,0.000007808959,0.0008432478,0.0000040261266,0.0011896911],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979085,0.00002219587,0.000022117436,0.000030070447,0.00008604017,0.00004873167],"domain_scores_gemma":[0.9987513,0.00025898986,0.00042845673,0.000035669276,0.0004183025,0.00010728102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034440667,0.00024135358,0.0002039877,0.003461859,0.00037312115,0.0011186874,0.00028160177,0.0002345353,0.0017797007],"category_scores_gemma":[0.0013366599,0.00007474965,0.0003786859,0.0026389216,0.00023686663,0.00061458995,0.00040448632,0.00030861335,0.00024810873],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044038938,0.00016229939,0.92759657,0.00050728506,0.00020083888,0.0033303022,0.0015102517,0.0037758634,0.006442364,0.0050405087,0.004159247,0.04683405],"study_design_scores_gemma":[0.000015355225,0.00016212065,0.97731054,0.00014016102,0.00011125654,0.0007830993,0.0013951191,0.0084075695,0.0031371478,0.0018085995,0.0066813766,0.000047662656],"about_ca_topic_score_codex":0.010590226,"about_ca_topic_score_gemma":0.0076468075,"teacher_disagreement_score":0.010590226,"about_ca_system_score_codex":0.00055799284,"about_ca_system_score_gemma":0.00047636626,"threshold_uncertainty_score":0.021057189},"labels":[],"label_agreement":null},{"id":"W2138939931","doi":"","title":"Commonality in Liquidity: Evidence from the Option Market ∗","year":2007,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Market liquidity; Liquidity crisis; Financial economics; Warrant; Information asymmetry; Economics; Stock market; Bid–ask spread; Market maker; Volatility (finance); Market impact; Market microstructure; Monetary economics; Business; Order (exchange); Finance","score_opus":0.08517484128048397,"score_gpt":0.25541881874274835,"score_spread":0.17024397746226438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138939931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99524623,0.000479715,0.0014320422,0.00026459427,0.000004665574,0.000012659264,0.0003797484,0.000010543976,0.002169851],"genre_scores_gemma":[0.9993228,0.00010678258,0.00017645089,0.000016155573,0.000021476879,0.000004345792,0.00026880414,0.0000025287648,0.00008061594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99729,0.0007650079,0.00035910564,0.00051798427,0.0007401485,0.00032766178],"domain_scores_gemma":[0.8805601,0.057844456,0.046525262,0.0076484676,0.0037309797,0.003690783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042648334,0.00023952832,0.0006332183,0.0052769496,0.0006780399,0.0021818026,0.0008805388,0.000988863,0.0028239954],"category_scores_gemma":[0.03427477,0.00031447512,0.0008401685,0.0034120202,0.0023716039,0.0043844385,0.0035117436,0.0010585428,0.00031558098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009511918,0.00022741729,0.9597349,0.000111549045,0.00045937844,0.000666876,0.0016217633,0.0016187495,0.0021203598,0.008077165,0.00048320825,0.023927419],"study_design_scores_gemma":[0.00006785509,0.0004191687,0.9703532,0.00007242333,0.00017572129,0.001273225,0.0015025717,0.006845248,0.0019730986,0.015437703,0.0018027654,0.00007696935],"about_ca_topic_score_codex":0.0020418337,"about_ca_topic_score_gemma":0.0016711837,"teacher_disagreement_score":0.0052769496,"about_ca_system_score_codex":0.0004942884,"about_ca_system_score_gemma":0.00039478688,"threshold_uncertainty_score":0.022554874},"labels":[],"label_agreement":null},{"id":"W2139001217","doi":"10.1080/10427710701335885","title":"Irving Fisher and Financial Economics: The Equity Premium Puzzle, the Predictability of Stock Prices, and Intertemporal Allocation Under Risk","year":2007,"lang":"en","type":"article","venue":"Journal of the History of Economic Thought","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Economics; Stock market crash; Stock market; Equity premium puzzle; Financial economics; Stock (firearms); Crash; Predictability; Equity (law); Financial market; Risk premium; Finance; Political science; History","score_opus":0.03377954831420225,"score_gpt":0.22595085447582824,"score_spread":0.192171306161626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139001217","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028521619,0.22360134,0.00085162773,0.74850434,0.01575623,0.000003871332,0.000078136,0.000019375388,0.008332921],"genre_scores_gemma":[0.15820903,0.3705048,0.0022882696,0.18387724,0.25221702,0.000038176448,0.00015089306,0.00009236652,0.032622203],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992142,0.00024176334,0.000050444756,0.00012834003,0.00030851777,0.000056762066],"domain_scores_gemma":[0.9913095,0.006503432,0.0005447737,0.00016530372,0.0011103525,0.000366636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021983709,0.0006715504,0.0007722026,0.002695716,0.0017870383,0.0042349403,0.0009073218,0.0050461153,0.002228994],"category_scores_gemma":[0.01494936,0.0005479408,0.00045099712,0.0022767673,0.0046702535,0.006646362,0.00081117114,0.006311861,0.00056069635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075877346,0.0000354129,0.0020057743,0.00017061367,0.00003111726,0.0001821019,0.0003417805,0.0006092655,0.00008541067,0.1364135,0.8162733,0.04377589],"study_design_scores_gemma":[0.00007125485,0.000045644825,0.008944787,0.0014492333,0.000044129745,0.00028320646,0.0006960065,0.0022631446,0.00016607698,0.5457202,0.4402059,0.00011038725],"about_ca_topic_score_codex":0.0113834,"about_ca_topic_score_gemma":0.01762023,"teacher_disagreement_score":0.0113834,"about_ca_system_score_codex":0.0028423,"about_ca_system_score_gemma":0.0020345342,"threshold_uncertainty_score":0.022634327},"labels":[],"label_agreement":null},{"id":"W2139682164","doi":"10.2139/ssrn.2050195","title":"All are Not Created Equal: An Exploration of ETF Asset Growth","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Asset (computer security); Business; Economics; Finance; Financial economics; Computer science; Computer security","score_opus":0.07515339467258961,"score_gpt":0.25896710765596337,"score_spread":0.18381371298337376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139682164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45608371,0.01652132,0.04645247,0.031267766,0.00040027127,0.000032224547,0.00053326535,0.00017271908,0.44853622],"genre_scores_gemma":[0.978682,0.006457782,0.0030755438,0.00023202552,0.00020756072,0.0000112965145,0.0000954654,0.000043732056,0.011194627],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997267,0.00010685111,0.000008769603,0.000035833193,0.000064996515,0.000056826073],"domain_scores_gemma":[0.99694926,0.0018883656,0.00031780568,0.00018261833,0.00038534557,0.00027665446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012017981,0.00028212738,0.00032434805,0.0017356969,0.0008587692,0.0049438695,0.0007209184,0.0010801175,0.00865008],"category_scores_gemma":[0.00931212,0.00012321115,0.00035318767,0.0030182593,0.001895228,0.008838578,0.0015566183,0.0015636642,0.0006070996],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004611246,0.000019626428,0.0034758502,0.000038634553,0.0000066555967,0.00012196122,0.0003415098,0.004345306,0.00012044508,0.933162,0.0023963521,0.05592563],"study_design_scores_gemma":[0.000005824713,0.000021097614,0.0038839704,0.00010613592,0.000006457252,0.00015468686,0.00085208425,0.020066544,0.00017734665,0.9590339,0.015678905,0.000012992299],"about_ca_topic_score_codex":0.0036295385,"about_ca_topic_score_gemma":0.0030725598,"teacher_disagreement_score":0.00865008,"about_ca_system_score_codex":0.0018051381,"about_ca_system_score_gemma":0.0009910115,"threshold_uncertainty_score":0.028937459},"labels":[],"label_agreement":null},{"id":"W2139743045","doi":"10.2139/ssrn.1787200","title":"Business Ties and Information Advantage: Evidence from Mutual Fund Trading","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Mutual fund; Business; Closed-end fund; Commerce; Industrial organization; Financial economics; Finance; Economics; Market liquidity","score_opus":0.03030654269503194,"score_gpt":0.22422555111935574,"score_spread":0.1939190084243238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139743045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915809,0.0008526844,0.0001140432,0.0006254886,0.000006342942,0.0000069798057,0.00021551612,0.0000044746303,0.0065935166],"genre_scores_gemma":[0.9985796,0.0005132152,0.00005344409,0.000053993685,0.000025398691,0.0000034084856,0.00017409853,0.0000024488224,0.0005944569],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908936,0.00038546743,0.000072836345,0.000096741074,0.00021853416,0.00013699863],"domain_scores_gemma":[0.93337697,0.043784346,0.016886577,0.002065435,0.001364521,0.0025222248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021954046,0.00016117208,0.00035482176,0.0013946713,0.0008590079,0.0022774532,0.0004952616,0.001072856,0.009473713],"category_scores_gemma":[0.034752425,0.0001942124,0.00021392059,0.0021184233,0.0011189294,0.0025091472,0.0014782554,0.0009803254,0.0007540445],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003283638,0.00092971924,0.9340764,0.00022431313,0.0004634986,0.0006971229,0.0030218114,0.0006581402,0.0008680279,0.007936094,0.002096474,0.045744687],"study_design_scores_gemma":[0.0003239722,0.00074779947,0.97322357,0.00010294424,0.00060461985,0.0008824944,0.0047756424,0.0013344883,0.0010028655,0.009887706,0.007071646,0.000042307704],"about_ca_topic_score_codex":0.0042346106,"about_ca_topic_score_gemma":0.005452289,"teacher_disagreement_score":0.009473713,"about_ca_system_score_codex":0.0003683499,"about_ca_system_score_gemma":0.00038208714,"threshold_uncertainty_score":0.031692743},"labels":[],"label_agreement":null},{"id":"W2139818564","doi":"10.1007/s11579-012-0079-0","title":"Multi-stock portfolio optimization under prospect theory","year":2012,"lang":"en","type":"article","venue":"Mathematics and Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Portfolio; Portfolio optimization; Post-modern portfolio theory; Bond; Cumulative prospect theory; Econometrics; Modern portfolio theory; Economics; Exponential utility; Replicating portfolio; Constraint (computer-aided design); Stock (firearms); Expected utility hypothesis; Mathematical optimization; Financial economics; Mathematics; Finance; Engineering","score_opus":0.03701937441437386,"score_gpt":0.21717002158652354,"score_spread":0.18015064717214968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139818564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08712249,0.0031073296,0.89771944,0.0027902245,0.00021501757,0.000063260704,0.00017492211,0.0001200981,0.008687231],"genre_scores_gemma":[0.9333298,0.0028503656,0.05003569,0.00023327577,0.00046451864,0.00012790602,0.00019071581,0.00004895017,0.012718741],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989139,0.000658551,0.000054600296,0.0001249321,0.00018546094,0.00006263072],"domain_scores_gemma":[0.9940638,0.0043777525,0.0007509417,0.0001501223,0.00034249006,0.0003149351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00318017,0.001054903,0.0017056672,0.0012483889,0.0003389586,0.0023384085,0.0009435702,0.0020058337,0.0027010299],"category_scores_gemma":[0.01363086,0.0008842507,0.00092558895,0.0011982134,0.0010945627,0.0053727385,0.0017909954,0.0014236756,0.0002640935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017866975,0.00009537263,0.001719738,0.000182367,0.00017679883,0.00017789342,0.000040153165,0.66766506,0.0008840591,0.30898276,0.0016679347,0.0182292],"study_design_scores_gemma":[0.000032030257,0.00004307492,0.0003809683,0.000011703322,0.00001946268,0.000035429926,0.0000069377857,0.8317952,0.0001515773,0.16722919,0.00028018202,0.000014157943],"about_ca_topic_score_codex":0.0008261974,"about_ca_topic_score_gemma":0.0005469939,"teacher_disagreement_score":0.00318017,"about_ca_system_score_codex":0.0007250945,"about_ca_system_score_gemma":0.00082824216,"threshold_uncertainty_score":0.016818583},"labels":[],"label_agreement":null},{"id":"W2140490743","doi":"10.2139/ssrn.932693","title":"Asset Prices in a Time Series Model with Perpetually Disparately Informed, Competitive Traders","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Asset (computer security); Series (stratigraphy); Business; Financial economics; Economics; Microeconomics; Computer science; Computer security","score_opus":0.009796883836005344,"score_gpt":0.19098149212785762,"score_spread":0.18118460829185226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140490743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63616675,0.0021406498,0.32201982,0.011987042,0.00057195325,0.00013973507,0.0010143345,0.00043915515,0.025520522],"genre_scores_gemma":[0.972866,0.0007427331,0.0061450233,0.0003283319,0.00033016404,0.00008680122,0.00021907692,0.00003772248,0.019244118],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985079,0.0005526521,0.00008918664,0.00038111143,0.00024094681,0.0002282714],"domain_scores_gemma":[0.98917645,0.007689495,0.0014080356,0.0003547989,0.0005830855,0.00078804576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041127997,0.001354646,0.0031148572,0.0011748077,0.001199043,0.0067443,0.0044173193,0.00964916,0.004567568],"category_scores_gemma":[0.017614271,0.0016650409,0.0014622973,0.001345442,0.0039657247,0.0073349234,0.0024681708,0.00474452,0.0009545607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044515906,0.00016640004,0.0036490127,0.00008631963,0.00016307842,0.0012438962,0.0003517769,0.7612192,0.0008772886,0.22584584,0.0016621669,0.004289873],"study_design_scores_gemma":[0.000100525875,0.000047842244,0.00041828418,0.000007702137,0.000043161523,0.00009081954,0.000040904593,0.97479784,0.000052262665,0.024176184,0.0001910535,0.00003339261],"about_ca_topic_score_codex":0.008319987,"about_ca_topic_score_gemma":0.0044566756,"teacher_disagreement_score":0.00964916,"about_ca_system_score_codex":0.0014065773,"about_ca_system_score_gemma":0.0012706679,"threshold_uncertainty_score":0.021750808},"labels":[],"label_agreement":null},{"id":"W2140924140","doi":"10.5539/ibr.v4n4p139","title":"A Study on Developing of Asset Pricing Models","year":2011,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Business; Loan; Portfolio; Order (exchange); Market liquidity; Finance; Downside risk; Actuarial science; Economics","score_opus":0.374225814821294,"score_gpt":0.3652667950979374,"score_spread":0.00895901972335661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140924140","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01578929,0.0038025796,0.961918,0.0015402623,0.00023805605,0.00006495131,0.00011492398,0.00025760083,0.016274372],"genre_scores_gemma":[0.46475825,0.010302378,0.5120431,0.00042939474,0.00069611124,0.00031196306,0.00048216648,0.0003661651,0.010610444],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979011,0.0011540002,0.00011578458,0.00025565515,0.00049314427,0.00008039684],"domain_scores_gemma":[0.9909355,0.007068576,0.00031040955,0.00066853187,0.0008911047,0.00012581382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004992722,0.001005377,0.0008458453,0.0010650062,0.0005620731,0.0024546247,0.0017551507,0.00136293,0.0033133707],"category_scores_gemma":[0.024504308,0.000759647,0.0016948921,0.0013795629,0.0007508845,0.004889348,0.0012031909,0.0025331068,0.00082129],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035548146,0.00009878498,0.002796077,0.0002663514,0.000095006384,0.00020610049,0.000303768,0.25547564,0.00060291134,0.64423007,0.0041370736,0.091752686],"study_design_scores_gemma":[0.000009826355,0.000041317468,0.00033850787,0.000087675784,0.000025706448,0.00016363131,0.00004851457,0.8196245,0.0004298534,0.16498594,0.014227155,0.000017313121],"about_ca_topic_score_codex":0.0024099445,"about_ca_topic_score_gemma":0.0009295957,"teacher_disagreement_score":0.004992722,"about_ca_system_score_codex":0.001151563,"about_ca_system_score_gemma":0.0013515757,"threshold_uncertainty_score":0.02640438},"labels":[],"label_agreement":null},{"id":"W2140968718","doi":"10.5539/ijef.v7n3p179","title":"Can Stock Price Manipulation be Prevented by Granting More Freedom to Manipulators","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Institution; Economics; Market manipulation; Stock price; Microeconomics; Stock market; Construct (python library); Business; Finance; Computer science; Law; Political science","score_opus":0.04522653415577966,"score_gpt":0.2419646086223564,"score_spread":0.19673807446657673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140968718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64452183,0.00073238555,0.24956112,0.006685027,0.00020595132,0.00026154125,0.00023724891,0.00067603134,0.09711883],"genre_scores_gemma":[0.97990155,0.00024684644,0.0092245545,0.00036104504,0.00007658558,0.00008224868,0.000039540577,0.000028594968,0.010038956],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988944,0.00022152223,0.00006748576,0.0002827153,0.00016906047,0.0003647957],"domain_scores_gemma":[0.9931425,0.0014872684,0.0026672347,0.0019857797,0.00019149618,0.0005257642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025964233,0.0007970336,0.0010425682,0.00045750453,0.0009413016,0.0030271194,0.0013574414,0.0049234144,0.009959723],"category_scores_gemma":[0.011152898,0.0007280483,0.0013218807,0.00031304173,0.0037858153,0.0075276257,0.0028479062,0.0025392675,0.001571484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013018019,0.0006416266,0.01250776,0.00028903614,0.00024201667,0.0018394117,0.00095649005,0.070637956,0.013484003,0.85360384,0.002768975,0.041727245],"study_design_scores_gemma":[0.0011857321,0.0016846454,0.006696464,0.00013619315,0.00024883845,0.0010650202,0.00065039954,0.15737443,0.0068618753,0.79952514,0.024315886,0.0002555256],"about_ca_topic_score_codex":0.0015336461,"about_ca_topic_score_gemma":0.0008640017,"teacher_disagreement_score":0.009959723,"about_ca_system_score_codex":0.0007402213,"about_ca_system_score_gemma":0.0012162009,"threshold_uncertainty_score":0.03331858},"labels":[],"label_agreement":null},{"id":"W2140971405","doi":"10.1287/mnsc.1060.0632","title":"Proper Conditioning for Coherent VaR in Portfolio Management","year":2007,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"Mitacs","keywords":"Subadditivity; Portfolio; Risk management; Context (archaeology); Economics; Active management; Private information retrieval; Actuarial science; Project portfolio management; Computer science; Econometrics; Financial economics; Finance; Mathematics","score_opus":0.02959375636592512,"score_gpt":0.24332238804169048,"score_spread":0.21372863167576536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140971405","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028952183,0.00052837434,0.9627242,0.0009673875,0.00004065776,0.00003689096,0.00004790253,0.00010627864,0.0065961285],"genre_scores_gemma":[0.8741282,0.00083432754,0.1207556,0.0005841411,0.0003871556,0.00015543537,0.00010247074,0.00008348915,0.0029692505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950138,0.0020026744,0.00031439782,0.0010655707,0.0012762272,0.00032731664],"domain_scores_gemma":[0.9838749,0.009364066,0.00254755,0.002443531,0.0012011783,0.0005687389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007344015,0.0007776375,0.0011279022,0.0010608869,0.0008119031,0.0031920825,0.0008001293,0.0012764102,0.0021647543],"category_scores_gemma":[0.02224959,0.0006911607,0.0009904782,0.0009900206,0.00498868,0.005141557,0.0034473552,0.0041450663,0.00035240853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038114456,0.000057892124,0.0008865714,0.000067108405,0.000050931667,0.000058352533,0.00027497084,0.03989453,0.002430019,0.9357563,0.00057669095,0.019908471],"study_design_scores_gemma":[0.000016979795,0.0000921604,0.00058490306,0.000033632597,0.000022191389,0.000028812789,0.000028719187,0.14893048,0.001548513,0.8473803,0.0013081075,0.000025345778],"about_ca_topic_score_codex":0.00074282597,"about_ca_topic_score_gemma":0.00045892998,"teacher_disagreement_score":0.007344015,"about_ca_system_score_codex":0.0014022692,"about_ca_system_score_gemma":0.001289496,"threshold_uncertainty_score":0.03883934},"labels":[],"label_agreement":null},{"id":"W2141135554","doi":"10.2139/ssrn.1371780","title":"Speculative Retail Trading and Asset Prices","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Asset (computer security); Financial economics; Monetary economics; Commerce; Finance; Financial system; Economics; Computer science; Computer security","score_opus":0.043262688228883864,"score_gpt":0.20496348733456446,"score_spread":0.16170079910568058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141135554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97227365,0.0022561764,0.005558007,0.0028630183,0.000056516215,0.0000075329726,0.00013526721,0.00004349657,0.016806174],"genre_scores_gemma":[0.9968388,0.00048242437,0.00017120654,0.00003384306,0.00006815336,0.0000014258804,0.000045336667,0.0000055317764,0.0023532494],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99986815,0.000059279828,0.000010446292,0.000023418375,0.00001966721,0.000018949395],"domain_scores_gemma":[0.9916163,0.006511894,0.0011280392,0.00029783385,0.00021441696,0.00023139293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006953388,0.00018537592,0.00031737864,0.0004277034,0.00030815,0.003117983,0.00033076992,0.0011937271,0.0099220555],"category_scores_gemma":[0.010820755,0.00025365915,0.0002713447,0.0007529229,0.0009897324,0.0025169023,0.00045058032,0.0012499392,0.0007045577],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022250803,0.0007109627,0.3048605,0.00029060937,0.00032676567,0.0058666454,0.0017076886,0.03635089,0.00390684,0.5746721,0.006834452,0.062247448],"study_design_scores_gemma":[0.00023918423,0.00023814247,0.12357492,0.000055830482,0.0001835091,0.0015590219,0.001326132,0.1732063,0.0008826819,0.6937193,0.0049529863,0.000061958934],"about_ca_topic_score_codex":0.0018820658,"about_ca_topic_score_gemma":0.002567504,"teacher_disagreement_score":0.0099220555,"about_ca_system_score_codex":0.0004896615,"about_ca_system_score_gemma":0.00024281393,"threshold_uncertainty_score":0.033192575},"labels":[],"label_agreement":null},{"id":"W2141145597","doi":"10.1504/ijfmd.2009.028947","title":"Trade transparency and trading volume: the possible impact of the financial instruments markets directive on the trading volume of EU equity markets","year":2009,"lang":"en","type":"article","venue":"International Journal of Financial Markets and Derivatives","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Transparency (behavior); Equity (law); Business; Electronic trading; Algorithmic trading; Directive; Dark liquidity; Financial instrument; Stock exchange; Alternative trading system; Stock (firearms); Financial market; High-frequency trading; Economics; Financial economics; Finance","score_opus":0.02799805967306135,"score_gpt":0.2612489491001857,"score_spread":0.23325088942712435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141145597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906266,0.0006097452,0.0013071201,0.00051708915,0.000036281097,0.000014390969,0.00038053349,0.000021460257,0.006486812],"genre_scores_gemma":[0.9990495,0.00007280197,0.00024811437,0.000046582114,0.000036632453,0.000003657271,0.00022709466,0.0000074973295,0.00030815846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99271095,0.0023325568,0.0008234662,0.0006901057,0.0028548765,0.00058809406],"domain_scores_gemma":[0.89700127,0.057931732,0.036354557,0.0042302576,0.0034090832,0.0010731356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004370641,0.00021060796,0.00039223096,0.0013817884,0.00030007228,0.0039749197,0.0005934007,0.0008376577,0.0016510165],"category_scores_gemma":[0.046861995,0.00016843628,0.00045498897,0.002276412,0.0013386982,0.0021731374,0.0012313835,0.0010243732,0.00023050584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001335096,0.00045046493,0.92797416,0.00017226546,0.00026746112,0.0006174696,0.002409324,0.009336197,0.0035698554,0.012541522,0.0011921036,0.04013404],"study_design_scores_gemma":[0.000029881397,0.0003514475,0.98486036,0.000049565628,0.000056182147,0.0001781903,0.00043412956,0.005242664,0.0033999882,0.0030464916,0.0023121447,0.000038873764],"about_ca_topic_score_codex":0.0024662134,"about_ca_topic_score_gemma":0.0021668072,"teacher_disagreement_score":0.004370641,"about_ca_system_score_codex":0.00087035744,"about_ca_system_score_gemma":0.0004693222,"threshold_uncertainty_score":0.023114443},"labels":[],"label_agreement":null},{"id":"W2141260047","doi":"10.2139/ssrn.2563012","title":"Are Corporate Spin-Offs Prone to Insider Trading?","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Spin offs; Insider trading; Business; Insider; Monetary economics; Financial economics; Financial system; Economics; Finance; Industrial organization; Law; Political science","score_opus":0.06461813892307165,"score_gpt":0.2371287781633334,"score_spread":0.17251063924026172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141260047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98796785,0.000515299,0.0005488958,0.0010224822,0.000035653196,0.00001046507,0.00006109745,0.000023943501,0.009814355],"genre_scores_gemma":[0.99888235,0.00013536481,0.00009549961,0.000097740354,0.00003940201,0.0000019201127,0.000034828172,0.0000047079366,0.00070830947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992673,0.000116168114,0.000041587056,0.00013085493,0.00017191832,0.00027226153],"domain_scores_gemma":[0.98411304,0.003908825,0.008108605,0.0014949543,0.00078982796,0.0015846782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012720908,0.00018309927,0.00043673473,0.0010268962,0.0007062006,0.004062458,0.00049929396,0.0016732168,0.0095642125],"category_scores_gemma":[0.012330012,0.00019841186,0.0002644067,0.0006142649,0.0013412986,0.002867797,0.0010383506,0.0013001355,0.0013025563],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086055684,0.0004274031,0.88582766,0.00008578876,0.00016703557,0.0027922061,0.0021334633,0.0005189928,0.003198497,0.017873699,0.003478707,0.08263609],"study_design_scores_gemma":[0.00008268918,0.00058487797,0.8861751,0.00022620184,0.00017772829,0.007855876,0.016132776,0.0046282727,0.0033838684,0.07189588,0.00879129,0.000065509594],"about_ca_topic_score_codex":0.0005070971,"about_ca_topic_score_gemma":0.0005496256,"teacher_disagreement_score":0.0095642125,"about_ca_system_score_codex":0.0002313273,"about_ca_system_score_gemma":0.00025060694,"threshold_uncertainty_score":0.031995535},"labels":[],"label_agreement":null},{"id":"W2141263578","doi":"10.1002/mde.2749","title":"Insider Trading: Does Being a Neighbor of the Securities and Exchange Commission Matter?","year":2015,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Commission; Insider trading; Earnings; Business; Sanctions; Profitability index; Insider; Accounting; Investment banking; Monetary economics; Financial system; Finance; Economics; Law","score_opus":0.03064433473130064,"score_gpt":0.2061212015966492,"score_spread":0.17547686686534858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141263578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967533,0.00010032342,0.00025427845,0.00030311957,0.000015215601,0.0000053852623,0.000043534455,0.0000015141393,0.0025234453],"genre_scores_gemma":[0.999511,0.00003522617,0.00008626023,0.00004292337,0.00001136066,0.000002604108,0.000037701775,0.0000016154293,0.0002714119],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816906,0.0008327794,0.000098966266,0.00035720327,0.00030667108,0.00023527106],"domain_scores_gemma":[0.9767388,0.0073497975,0.011338496,0.0010115007,0.00083091494,0.002730504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016434924,0.00018702867,0.0005065847,0.0004939373,0.0010678438,0.001958406,0.0006230575,0.0007225158,0.0046491707],"category_scores_gemma":[0.012216203,0.00013423416,0.00025116044,0.000599573,0.001364564,0.0011000554,0.00081679644,0.0008306784,0.00043099403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015833316,0.0001636241,0.98982656,0.000019806874,0.00012697047,0.00020803018,0.0024271528,0.00014884867,0.00029299015,0.0005475797,0.00042692674,0.0056531103],"study_design_scores_gemma":[0.00000825625,0.00013414866,0.9882604,0.000025241872,0.00007511357,0.00021705295,0.0089530675,0.00082115707,0.00015517534,0.00047186232,0.0008683372,0.0000101629275],"about_ca_topic_score_codex":0.009747973,"about_ca_topic_score_gemma":0.011620966,"teacher_disagreement_score":0.009747973,"about_ca_system_score_codex":0.00032201258,"about_ca_system_score_gemma":0.00038913393,"threshold_uncertainty_score":0.019382477},"labels":[],"label_agreement":null},{"id":"W2141439600","doi":"10.2139/ssrn.1108553","title":"Do Measures of Liquidity Measure Liquidity?","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":168,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Market liquidity; Measure (data warehouse); Accounting liquidity; Business; Liquidity risk; Economics; Monetary economics; Computer science; Data mining","score_opus":0.0513385804332364,"score_gpt":0.21804129953957538,"score_spread":0.166702719106339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141439600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8702826,0.027186586,0.040844712,0.018849865,0.0008742963,0.00006859897,0.004982607,0.00033750146,0.036573317],"genre_scores_gemma":[0.99350125,0.0022177289,0.0019357455,0.000699301,0.00046908794,0.000034995508,0.0004135348,0.000029114846,0.00069927634],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977276,0.0011052934,0.0003129097,0.0002870936,0.00040572457,0.00016137931],"domain_scores_gemma":[0.9416516,0.03224203,0.019546745,0.0028223342,0.002736172,0.0010011193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050811623,0.0007553621,0.0007882783,0.0036740096,0.00026807768,0.0050236187,0.0010595775,0.0026873094,0.0046288613],"category_scores_gemma":[0.070134245,0.00043389178,0.00043117628,0.003782957,0.0022644633,0.011228027,0.0011989429,0.0012366105,0.0019496499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010301684,0.00026867833,0.7900193,0.000793997,0.0014963397,0.00014027195,0.000983033,0.004092925,0.002036405,0.03520179,0.009159533,0.15477759],"study_design_scores_gemma":[0.00027495174,0.00085109135,0.7428455,0.0007594732,0.00064361613,0.0010101881,0.002133795,0.020421267,0.0057337587,0.21127726,0.013724802,0.00032424342],"about_ca_topic_score_codex":0.00082093594,"about_ca_topic_score_gemma":0.00092908926,"teacher_disagreement_score":0.0050811623,"about_ca_system_score_codex":0.00045715796,"about_ca_system_score_gemma":0.0004196533,"threshold_uncertainty_score":0.026872098},"labels":[],"label_agreement":null},{"id":"W2141468917","doi":"","title":"A Model of Stochastic Liquidity","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Econometrics; Market liquidity; Stochastic volatility; Volatility (finance); Economics; Markov chain Monte Carlo; Markov chain; Bayesian probability; Variance (accounting); Realized variance; Statistics; Mathematics; Monetary economics; Accounting","score_opus":0.03124251044820712,"score_gpt":0.21183697932057374,"score_spread":0.18059446887236663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141468917","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18571347,0.0033438194,0.6506083,0.022436693,0.00062049594,0.0002764606,0.004694985,0.0010588261,0.13124698],"genre_scores_gemma":[0.90240073,0.0015295048,0.020383803,0.0008931942,0.0005769817,0.00035330644,0.00077272026,0.000101538215,0.07298822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99898297,0.000324704,0.000053328335,0.0002256771,0.00019694236,0.0002163494],"domain_scores_gemma":[0.9976757,0.0011618664,0.00045014606,0.00018669132,0.0002873411,0.00023827548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015162793,0.0006073389,0.0010359337,0.0010452977,0.0008984721,0.0042190463,0.0027544587,0.004163932,0.014979262],"category_scores_gemma":[0.006335237,0.0005751596,0.0010873564,0.0015265631,0.0019230072,0.004952432,0.0020959158,0.0022881234,0.0017210477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006225619,0.000050178973,0.0012063029,0.00004874397,0.000042199677,0.00049635937,0.00024359529,0.11640288,0.00049004075,0.8728099,0.0037980943,0.0043494944],"study_design_scores_gemma":[0.00013118818,0.00006436439,0.00050961133,0.000031600888,0.00003214494,0.00037989754,0.00008976853,0.49229228,0.00014095205,0.4953667,0.010919364,0.000042177355],"about_ca_topic_score_codex":0.004612566,"about_ca_topic_score_gemma":0.0022357586,"teacher_disagreement_score":0.014979262,"about_ca_system_score_codex":0.0016848624,"about_ca_system_score_gemma":0.002026735,"threshold_uncertainty_score":0.05011064},"labels":[],"label_agreement":null},{"id":"W2141666280","doi":"10.2139/ssrn.1478451","title":"What Drives the Value of Analysts' Recommendations: Earnings Estimates or Discount Rate Estimates?","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Earnings; Economics; Econometrics; Value (mathematics); Actuarial science; Financial economics; Statistics; Accounting; Mathematics","score_opus":0.015104499100933626,"score_gpt":0.25053825423594583,"score_spread":0.23543375513501222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141666280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8670949,0.008905708,0.028983567,0.041519355,0.0009771435,0.00017410889,0.002358684,0.00032944346,0.04965715],"genre_scores_gemma":[0.99317414,0.000857912,0.0039314656,0.00048599532,0.00035154872,0.000013892807,0.00021345764,0.000044794553,0.0009268123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944041,0.0026614598,0.0004979341,0.00081873644,0.0012974321,0.0003204002],"domain_scores_gemma":[0.68119836,0.26200354,0.032816444,0.0054565333,0.01588533,0.002639677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016013054,0.00048159118,0.00062442536,0.0026543543,0.00054133165,0.006849822,0.0012657155,0.0028391057,0.0047831875],"category_scores_gemma":[0.29493767,0.00040382938,0.00036790702,0.0019258483,0.0008859615,0.0068309167,0.00069049967,0.0027550508,0.0012746353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015868936,0.0007089704,0.51284975,0.00094637583,0.0016228069,0.00045516607,0.0025160464,0.025534512,0.0020806713,0.039017174,0.032934867,0.37974685],"study_design_scores_gemma":[0.0005770727,0.0007558095,0.4498053,0.001743488,0.0017114119,0.00075343536,0.0076238965,0.31322464,0.007356543,0.18537144,0.030608535,0.00046839766],"about_ca_topic_score_codex":0.007756083,"about_ca_topic_score_gemma":0.008563884,"teacher_disagreement_score":0.016013054,"about_ca_system_score_codex":0.0013321673,"about_ca_system_score_gemma":0.0013399816,"threshold_uncertainty_score":0.08468616},"labels":[],"label_agreement":null},{"id":"W2141728840","doi":"10.1111/j.1540-6288.2007.00160.x","title":"The U.S. Share of Trading Volume in Cross‐Listings: Evidence from Canadian Stocks","year":2007,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Financial economics; Monetary economics; Market share; Business; Stock (firearms); Relative value; Cross listing; Listing (finance); Stock market; Economics; Finance","score_opus":0.05425731652716437,"score_gpt":0.2709983389862247,"score_spread":0.21674102245906035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141728840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98734504,0.0014039172,0.00007068183,0.00041408447,0.000010080236,0.000008316461,0.0051683686,0.000010154697,0.005569276],"genre_scores_gemma":[0.9949418,0.0009015789,0.00004184586,0.000040939703,0.000009893661,0.0000022853328,0.0031591174,0.0000037209516,0.00089897355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994505,0.00002931507,0.000030377882,0.00007252021,0.00027720255,0.00014000342],"domain_scores_gemma":[0.99330384,0.0008861666,0.0022161615,0.00017030713,0.002684977,0.0007384996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061998103,0.00027419077,0.00030313406,0.003021419,0.001356991,0.0015174522,0.0005177986,0.00035937654,0.0030834386],"category_scores_gemma":[0.004684241,0.00015716733,0.00037932125,0.0071176295,0.0005448119,0.00039971463,0.0006195112,0.00040027802,0.0002950111],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011460155,0.000025942629,0.9879942,0.000036468624,0.00008959503,0.00012060837,0.0005751679,0.0004088897,0.00020359525,0.00048289698,0.0026940256,0.0072540776],"study_design_scores_gemma":[0.000004084582,0.000007850625,0.9978896,0.000015037268,0.000026475172,0.00003161766,0.00040568132,0.00037582024,0.00009781144,0.00003362961,0.0011025626,0.00000988408],"about_ca_topic_score_codex":0.9793802,"about_ca_topic_score_gemma":0.98653305,"teacher_disagreement_score":0.02061981,"about_ca_system_score_codex":0.006624618,"about_ca_system_score_gemma":0.0059946645,"threshold_uncertainty_score":0.048065245},"labels":[],"label_agreement":null},{"id":"W2141886971","doi":"10.1111/j.1540-6288.2006.00141.x","title":"The Impact of Pennies on the Market Quality of the Toronto Stock Exchange","year":2006,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; Wilfrid Laurier University","funders":"","keywords":"Tick size; Market liquidity; Stock exchange; Market maker; Order (exchange); Economics; Order book; Financial economics; Stock (firearms); Monetary economics; Stock market; Business; Finance","score_opus":0.05768035456074027,"score_gpt":0.28861016439438447,"score_spread":0.2309298098336442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141886971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99346524,0.00038615792,0.00008991795,0.00039569256,0.000014021376,0.000012680976,0.0012313985,0.000011034986,0.004393868],"genre_scores_gemma":[0.9979,0.000121106386,0.00003952712,0.000015302676,0.000014548886,0.0000020732725,0.00086222077,0.0000037494883,0.0010414443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990427,0.00015609102,0.000088062836,0.0000795762,0.0005273211,0.00010621262],"domain_scores_gemma":[0.97396106,0.008470029,0.010079832,0.00097305246,0.0040436215,0.0024724493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014925927,0.00015020203,0.00033134464,0.0012609811,0.00046418584,0.003031737,0.0003320666,0.00043223123,0.008096782],"category_scores_gemma":[0.021426,0.00016638619,0.00020713203,0.0015839904,0.0006355013,0.0007630988,0.0006022525,0.0005200816,0.0004850356],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013651979,0.00008786203,0.9747977,0.00006879586,0.00025025097,0.00021566193,0.00039812704,0.005259639,0.0008662206,0.0015309086,0.0037195936,0.011440052],"study_design_scores_gemma":[0.000020326313,0.00005552797,0.99705315,0.0000071555887,0.000028463333,0.000021157217,0.00020503277,0.0015858504,0.00014695167,0.00017016692,0.00069611723,0.000010007362],"about_ca_topic_score_codex":0.2967495,"about_ca_topic_score_gemma":0.4182774,"teacher_disagreement_score":0.7032505,"about_ca_system_score_codex":0.004224896,"about_ca_system_score_gemma":0.0016054147,"threshold_uncertainty_score":0.5900445},"labels":[],"label_agreement":null},{"id":"W2141894206","doi":"10.2139/ssrn.2186862","title":"Oh What a Beautiful Morning! The Effect of the Time of Day on the Tone and Consequences of Conference Calls","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Morning; Tone (literature); Audiology; Psychology; Art; Medicine; Literature; Internal medicine","score_opus":0.01434035883639164,"score_gpt":0.21473928613244908,"score_spread":0.20039892729605743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141894206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.562837,0.0035682966,0.0038052227,0.1173265,0.023244707,0.00016029847,0.001813702,0.0005785858,0.28666562],"genre_scores_gemma":[0.9536768,0.00066946156,0.0008472147,0.011216896,0.0031436025,0.00010650716,0.00024415215,0.00038118626,0.029714221],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99707127,0.0014544564,0.0000845962,0.00026037864,0.0005659355,0.0005633234],"domain_scores_gemma":[0.94498456,0.024475053,0.0057418263,0.0028648332,0.0066124364,0.015321411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005942272,0.0002237517,0.00046525517,0.000493012,0.003614816,0.007074854,0.0008205621,0.0022538377,0.056848146],"category_scores_gemma":[0.07004011,0.00038363374,0.00050675066,0.00059341086,0.0016660034,0.0031043729,0.002136817,0.0049557723,0.011431393],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01625586,0.0019467111,0.12943959,0.0007374584,0.0008190392,0.0010073321,0.019608768,0.0032612535,0.012749857,0.058257014,0.5525983,0.20331882],"study_design_scores_gemma":[0.0010800238,0.0019574356,0.6259752,0.000668397,0.00039870307,0.00042247574,0.055404257,0.0019504216,0.0031791201,0.031019503,0.27735963,0.00058477675],"about_ca_topic_score_codex":0.005147866,"about_ca_topic_score_gemma":0.010751932,"teacher_disagreement_score":0.056848146,"about_ca_system_score_codex":0.0013750768,"about_ca_system_score_gemma":0.0011306857,"threshold_uncertainty_score":0.19017595},"labels":[],"label_agreement":null},{"id":"W2142049336","doi":"","title":"Buying Winners While Holding on to Losers: An Experimental Study of Investors’ Behavior","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Investor behavior; Stock (firearms); Business; Monetary economics; Financial economics; Economics; Engineering","score_opus":0.04806015702050821,"score_gpt":0.2740900528133454,"score_spread":0.22602989579283722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142049336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99880815,0.000039574035,0.0001837548,0.00009507924,0.000015495732,0.000049186285,0.00003129006,0.000006062836,0.0007714411],"genre_scores_gemma":[0.99398065,0.00016387028,0.0020400144,0.00029726126,0.000047468362,0.0002813176,0.00012812023,0.000012087018,0.0030491936],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99896693,0.00040462168,0.00011024702,0.0002169867,0.00018464062,0.00011655182],"domain_scores_gemma":[0.9854057,0.010001629,0.0020303368,0.0014772206,0.00022008506,0.00086497184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029949495,0.00068091275,0.00082251686,0.00034367267,0.000615711,0.0014351276,0.00077686127,0.0019459465,0.00680937],"category_scores_gemma":[0.012511507,0.0005723657,0.00042288363,0.00024740666,0.0010063872,0.0011923937,0.0006800425,0.0023488018,0.0008023596],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.059802886,0.32662266,0.17853945,0.0010986717,0.0012209787,0.0022715614,0.019286916,0.0033206022,0.294192,0.011187126,0.003687588,0.09876964],"study_design_scores_gemma":[0.026548512,0.37764123,0.39827663,0.00028623152,0.0014691941,0.0025943331,0.015235067,0.038214955,0.097547345,0.022487277,0.019066278,0.00063301466],"about_ca_topic_score_codex":0.0006148938,"about_ca_topic_score_gemma":0.0007670829,"teacher_disagreement_score":0.00680937,"about_ca_system_score_codex":0.00027058725,"about_ca_system_score_gemma":0.0003361835,"threshold_uncertainty_score":0.022779644},"labels":[],"label_agreement":null},{"id":"W2142159900","doi":"","title":"New sight of herding behavioural through trading volume","year":2010,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Herding; Sight; Volume (thermodynamics); Business; Herd behavior; Financial economics; Economics; Geography; Physics; Astronomy; Forestry","score_opus":0.05456421957095942,"score_gpt":0.27975884255270805,"score_spread":0.22519462298174864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142159900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755788,0.0013820815,0.016569834,0.00041200302,0.000026804757,0.000008584244,0.000102887076,0.0000699521,0.0058490466],"genre_scores_gemma":[0.995,0.00044557173,0.0036490269,0.00006734958,0.000052526895,0.000005309877,0.000050733517,0.000014500299,0.0007150262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975926,0.00006602303,0.000013400491,0.00007761503,0.00005937946,0.000024418412],"domain_scores_gemma":[0.99541205,0.0024696311,0.0011083033,0.00055454206,0.00027012103,0.00018544443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007325452,0.00014854867,0.00030841248,0.0010983454,0.0002696853,0.0010195009,0.00043526798,0.0005693842,0.0016051739],"category_scores_gemma":[0.006124537,0.00026714487,0.00029337927,0.00081984734,0.0007910655,0.0019739508,0.000498563,0.0006322977,0.0001490828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003867914,0.0002671835,0.69424087,0.00034817334,0.00055516564,0.0006170664,0.008333531,0.01041548,0.04685847,0.03202984,0.0015127466,0.2044347],"study_design_scores_gemma":[0.0000180239,0.00029311155,0.93244755,0.00007211691,0.00018013513,0.0008486254,0.0015661528,0.036345042,0.0025452294,0.02191329,0.0036935238,0.00007717811],"about_ca_topic_score_codex":0.0024896208,"about_ca_topic_score_gemma":0.0019446439,"teacher_disagreement_score":0.0024896208,"about_ca_system_score_codex":0.0002768053,"about_ca_system_score_gemma":0.00013952653,"threshold_uncertainty_score":0.005369842},"labels":[],"label_agreement":null},{"id":"W2142223988","doi":"10.3386/w20190","title":"Model Disagreement and Economic Outlook","year":2014,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Swiss Finance Institute; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Economics; Econometrics","score_opus":0.4240967727753181,"score_gpt":0.45246052852865404,"score_spread":0.02836375575333594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142223988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9589416,0.0002675718,0.028039599,0.0022990485,0.000033808585,0.000017469965,0.00013687399,0.000030380015,0.010233607],"genre_scores_gemma":[0.9989322,0.000048981783,0.00070645346,0.000048113703,0.000011955347,0.0000067551,0.00004448458,0.000004028572,0.00019709297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987263,0.00067194406,0.000057247966,0.00017915935,0.00018301223,0.00018233265],"domain_scores_gemma":[0.98284525,0.011824747,0.0031566597,0.0008641612,0.0006664532,0.0006427574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040216586,0.00039565083,0.0006738661,0.00048474554,0.00055841845,0.0018002077,0.0006914707,0.0014038454,0.0024235547],"category_scores_gemma":[0.03313867,0.0002548992,0.00041792446,0.00042302252,0.000904458,0.00261899,0.0012966477,0.0018367182,0.00015118632],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069516816,0.0004309911,0.07381691,0.00011733089,0.00023488357,0.00085280184,0.0010831065,0.59716827,0.0023924243,0.3067386,0.0028143334,0.013655296],"study_design_scores_gemma":[0.0001045651,0.00020358546,0.014779516,0.000025235877,0.000049733662,0.00013511999,0.00057932915,0.7924456,0.00061830506,0.1899997,0.001014039,0.000045320947],"about_ca_topic_score_codex":0.001786307,"about_ca_topic_score_gemma":0.0009506593,"teacher_disagreement_score":0.0040216586,"about_ca_system_score_codex":0.0010107105,"about_ca_system_score_gemma":0.0004494778,"threshold_uncertainty_score":0.021268845},"labels":[],"label_agreement":null},{"id":"W2142421695","doi":"10.2139/ssrn.308743","title":"Stare Down the Barrel and Center the Crosshairs: Targeting the Ex Ante Equity Premium","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University; University of British Columbia","funders":"","keywords":"Equity (law); Ex-ante; Barrel (horology); Center (category theory); Economics; Political science; Geography; Chemistry; Law; Macroeconomics","score_opus":0.016954811438613937,"score_gpt":0.22292162520705666,"score_spread":0.20596681376844272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142421695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94205946,0.00042608642,0.02548302,0.0021729006,0.00009666749,0.000034005752,0.00005564435,0.00013694339,0.029535292],"genre_scores_gemma":[0.9909168,0.00010743708,0.0024462037,0.00018116985,0.000028371343,0.00000399272,0.000016484968,0.00001392119,0.00628564],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998479,0.000045107427,0.00000293044,0.000027469681,0.000029121376,0.00004748762],"domain_scores_gemma":[0.9992478,0.00023356121,0.00019049263,0.00006602154,0.000075501004,0.00018664112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007333911,0.00026484366,0.00036995995,0.0002212676,0.0004523053,0.0012642576,0.00030646945,0.0008389625,0.010378422],"category_scores_gemma":[0.0027778668,0.00017058155,0.00015417479,0.0003015326,0.00033279014,0.0011766668,0.0006391478,0.00088193687,0.0007301582],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008364488,0.0025619608,0.08817041,0.00022874709,0.00023170252,0.00082990585,0.0011128288,0.03473726,0.033693105,0.27335465,0.031787362,0.52492756],"study_design_scores_gemma":[0.0014665303,0.0047096917,0.104365215,0.00010079762,0.00057100947,0.00097259803,0.005050488,0.38376462,0.05886025,0.39372802,0.046253413,0.00015728825],"about_ca_topic_score_codex":0.0016643197,"about_ca_topic_score_gemma":0.0035403566,"teacher_disagreement_score":0.010378422,"about_ca_system_score_codex":0.00034445777,"about_ca_system_score_gemma":0.00060812314,"threshold_uncertainty_score":0.03471929},"labels":[],"label_agreement":null},{"id":"W2143081418","doi":"10.2139/ssrn.1151834","title":"Conditionally Fitted Sharpe Performance with an Application to Hedge Fund Rating","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; University of Toronto","funders":"","keywords":"Sharpe ratio; Hedge fund; Econometrics; Economics; Actuarial science; Sovereign wealth fund; Mathematics; Business; Financial economics; Portfolio; Finance; Microeconomics","score_opus":0.016360141996547138,"score_gpt":0.22005479503922462,"score_spread":0.20369465304267748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143081418","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13754344,0.0003012341,0.855072,0.00038204854,0.00012395745,0.0000681949,0.0005657555,0.0039812117,0.001962142],"genre_scores_gemma":[0.8507976,0.00017321971,0.14052826,0.00009661525,0.0001385788,0.00008593975,0.001221778,0.0006078749,0.0063502295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852604,0.0008421705,0.00006748295,0.00026234594,0.00020167083,0.000100371966],"domain_scores_gemma":[0.98349506,0.012293264,0.0007381954,0.0019489819,0.0011568653,0.00036773377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076690386,0.00080666796,0.0015630868,0.0010289644,0.00047819034,0.0018404032,0.0017955678,0.0028388505,0.0045065996],"category_scores_gemma":[0.0384115,0.0010400356,0.0013186428,0.0013967042,0.0007726498,0.001958105,0.0010322109,0.0025143991,0.0011800285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031269796,0.00017066704,0.008628538,0.000074784075,0.00023820471,0.00039303914,0.00014987851,0.9076594,0.0015687537,0.029594755,0.002666801,0.04854248],"study_design_scores_gemma":[0.0000072022885,0.000010163686,0.0008762903,0.0000024469964,0.0000075756907,0.00003775911,0.0000047234034,0.9957514,0.00013139854,0.0030299355,0.00012995739,0.0000111691315],"about_ca_topic_score_codex":0.009489253,"about_ca_topic_score_gemma":0.0063313814,"teacher_disagreement_score":0.009489253,"about_ca_system_score_codex":0.0006258231,"about_ca_system_score_gemma":0.00083079515,"threshold_uncertainty_score":0.04055822},"labels":[],"label_agreement":null},{"id":"W2143095339","doi":"10.5430/afr.v2n3p103","title":"Maximising the Worth of the Young Accountant in Ghana, Treasury Bills or Shares?","year":2013,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Treasury; Inflation (cosmology); Finance; Business; Economics; Rate of return; Actuarial science","score_opus":0.0824659955397827,"score_gpt":0.2805575992911634,"score_spread":0.1980916037513807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143095339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927328,0.0014198943,0.0005863066,0.0008426631,0.000014858043,0.000008860889,0.00009051407,0.000004854403,0.0042991433],"genre_scores_gemma":[0.99804854,0.00051394897,0.00029548278,0.000016321399,0.000006272174,0.0000013469098,0.000024032834,8.891779e-7,0.0010930825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999285,0.000021321195,0.0000049051323,0.0000090386275,0.000015438154,0.00002080067],"domain_scores_gemma":[0.9994935,0.00010115219,0.0002834525,0.000009213169,0.000041492433,0.00007126658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034254792,0.00011861875,0.00014389689,0.0003424955,0.00016613682,0.0009355574,0.00010362432,0.0002478777,0.0014580291],"category_scores_gemma":[0.0014239636,0.000067449044,0.00008933298,0.0004740411,0.00023115508,0.00086942624,0.0002514446,0.00019772084,0.0001760807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047006327,0.000118174394,0.82160014,0.000216341,0.000052629905,0.0023050706,0.002669159,0.004619636,0.005382679,0.016735917,0.003917431,0.14191292],"study_design_scores_gemma":[0.00002749836,0.00048526036,0.9426309,0.00019981772,0.000060193015,0.0015779764,0.010588524,0.012963151,0.0036916165,0.009781494,0.01796221,0.000031352076],"about_ca_topic_score_codex":0.005689564,"about_ca_topic_score_gemma":0.009886896,"teacher_disagreement_score":0.005689564,"about_ca_system_score_codex":0.0006806954,"about_ca_system_score_gemma":0.00035066067,"threshold_uncertainty_score":0.011312902},"labels":[],"label_agreement":null},{"id":"W2143340649","doi":"10.2139/ssrn.1364353","title":"Margins and Hedge Fund Contagion","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Hedge fund; Financial contagion; Business; Financial system; Economics; Financial economics; Monetary economics; Finance; Financial market","score_opus":0.01720993955594843,"score_gpt":0.20921180668458578,"score_spread":0.19200186712863734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143340649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780044,0.0035905242,0.005272492,0.0019050244,0.0000635251,0.000007711733,0.00007344953,0.000046341323,0.011036508],"genre_scores_gemma":[0.9989329,0.00019543237,0.00006458482,0.000023224584,0.000030480953,0.0000010186454,0.000008739705,0.0000023260704,0.0007413179],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99981385,0.000045765202,0.000017135717,0.000038576258,0.00003502761,0.000049600825],"domain_scores_gemma":[0.9933236,0.0034264463,0.0021529316,0.00027216817,0.00035353296,0.0004713667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001044194,0.00033018546,0.00045336827,0.00075330364,0.00041365708,0.0025725965,0.0003371713,0.0016663483,0.0039886963],"category_scores_gemma":[0.012037771,0.00019718446,0.00032208013,0.00044413476,0.0012331664,0.0030665202,0.0010105098,0.0013348337,0.00024145715],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024447136,0.00035575495,0.25582948,0.00039468228,0.00068504567,0.0042301696,0.0027804002,0.10290901,0.013562153,0.5194888,0.007499592,0.08982011],"study_design_scores_gemma":[0.00012167404,0.00033256982,0.1345368,0.00014665777,0.00037907116,0.00080540637,0.0016145909,0.11993797,0.0035051536,0.733388,0.005119887,0.00011214473],"about_ca_topic_score_codex":0.0016359729,"about_ca_topic_score_gemma":0.0014007976,"teacher_disagreement_score":0.0039886963,"about_ca_system_score_codex":0.0006847356,"about_ca_system_score_gemma":0.00026176494,"threshold_uncertainty_score":0.013343453},"labels":[],"label_agreement":null},{"id":"W2143639306","doi":"","title":"The Spurious Relation between Inflation Uncertainty and Stock Returns: Evidence from the U.S.","year":2013,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Stock (firearms); Econometrics; Spurious relationship; Inflation (cosmology); Real interest rate; Equity (law); Earnings; Explanatory power; Financial economics; Monetary economics; Interest rate; Mathematics; Statistics","score_opus":0.03916497320459199,"score_gpt":0.22798514996215635,"score_spread":0.18882017675756435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143639306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96549636,0.025606684,0.00038891207,0.003324976,0.00007452584,0.000008625183,0.000982996,0.000008312241,0.0041085193],"genre_scores_gemma":[0.98272216,0.015007303,0.00013685288,0.000637509,0.00018970827,0.000004811817,0.00095517706,0.0000032529392,0.00034324318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999014,0.00035133277,0.00011930614,0.00013182581,0.00031080912,0.00007264266],"domain_scores_gemma":[0.9757583,0.010412732,0.010512763,0.0007399537,0.002051307,0.00052492344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019609688,0.00024436534,0.0004326579,0.0013678559,0.00031187845,0.0010398529,0.00031942764,0.0005194323,0.0014232845],"category_scores_gemma":[0.010884407,0.00017740887,0.0003863079,0.003398253,0.00047079052,0.00051991903,0.00064200506,0.0007314002,0.00035775098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012320043,0.00005147546,0.9772857,0.00014207883,0.00038929062,0.00016839824,0.00015478136,0.00014617038,0.000102503844,0.00061833236,0.0013125085,0.01950548],"study_design_scores_gemma":[0.000012620551,0.000069042464,0.9958087,0.00009606545,0.00023330473,0.00010223735,0.00029124846,0.000286107,0.0001566319,0.00045903595,0.0024767006,0.0000082457345],"about_ca_topic_score_codex":0.014737191,"about_ca_topic_score_gemma":0.026926044,"teacher_disagreement_score":0.014737191,"about_ca_system_score_codex":0.00030129062,"about_ca_system_score_gemma":0.0005210842,"threshold_uncertainty_score":0.029302835},"labels":[],"label_agreement":null},{"id":"W2143693218","doi":"10.5539/ijef.v2n5p91","title":"Behaviour towards Risk in Structured Portfolio Management","year":2010,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Risk management; Project portfolio management; Business; Actuarial science; Risk analysis (engineering); Economics; Finance; Management; Project management","score_opus":0.0128562276503406,"score_gpt":0.2179576343047176,"score_spread":0.20510140665437698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143693218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7924292,0.00025710158,0.20158866,0.00048531216,0.000015523376,0.000054728025,0.000022315662,0.00005892248,0.0050882353],"genre_scores_gemma":[0.9854477,0.00013216533,0.013033028,0.000033034525,0.0000105214485,0.00002312068,0.000015812786,0.0000074301215,0.0012971655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985317,0.001013281,0.000038677947,0.00013326628,0.00016673416,0.000116300784],"domain_scores_gemma":[0.9941186,0.0038624739,0.0011321822,0.00026394837,0.0003029914,0.00031981524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002714091,0.0004501368,0.00046484292,0.0003477999,0.00026823234,0.0013188224,0.00049789285,0.0011803473,0.0016682524],"category_scores_gemma":[0.013997164,0.00030834807,0.00030749847,0.0002658186,0.00085493596,0.0014612213,0.00077463506,0.0006265434,0.00024274517],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064964243,0.0005444231,0.018844089,0.000172576,0.0002381031,0.00068044744,0.0011837555,0.7277355,0.014252275,0.1611608,0.0010422032,0.073496185],"study_design_scores_gemma":[0.000099310564,0.00071531226,0.004981099,0.000027398291,0.000037450885,0.00010305984,0.00020303878,0.8643588,0.0017053856,0.12720844,0.00052912364,0.000031631505],"about_ca_topic_score_codex":0.0008263497,"about_ca_topic_score_gemma":0.0006689191,"teacher_disagreement_score":0.002714091,"about_ca_system_score_codex":0.0005507859,"about_ca_system_score_gemma":0.00040930187,"threshold_uncertainty_score":0.0143536925},"labels":[],"label_agreement":null},{"id":"W2143898004","doi":"10.3386/w16628","title":"Trading and Liquidity with Limited Cognition","year":2010,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"National Science Foundation","keywords":"Market liquidity; Financial institution; Institution; Shock (circulatory); Business; Financial market; Monetary economics; Limit (mathematics); Aggregate (composite); Order (exchange); Economics; Financial economics; Finance","score_opus":0.31832447505296874,"score_gpt":0.4085252305990039,"score_spread":0.09020075554603518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143898004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9672117,0.0004901288,0.026284441,0.0010533547,0.000032092357,0.000015892747,0.000056776094,0.00009592417,0.0047597443],"genre_scores_gemma":[0.997747,0.00009286941,0.0016291965,0.00006131775,0.000028003655,0.000011576719,0.000017033739,0.000006526217,0.0004063912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989023,0.00040620693,0.0000659416,0.00018871525,0.00017431915,0.00026240025],"domain_scores_gemma":[0.9813431,0.01241448,0.0036594716,0.0013597513,0.00041625553,0.000807009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018693251,0.0006328588,0.00062836317,0.00047898394,0.00039052474,0.0027520785,0.00084011286,0.0014420527,0.0016657122],"category_scores_gemma":[0.030214531,0.00035946717,0.00059000566,0.00037455882,0.0021824017,0.0040232367,0.0016463695,0.0016562586,0.0001785566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004211979,0.0015458938,0.07600201,0.00060820556,0.0007740169,0.0034937984,0.0032831219,0.53738934,0.050253775,0.22760291,0.0024842029,0.09235072],"study_design_scores_gemma":[0.00027764146,0.00068041537,0.024433987,0.0000352441,0.000125243,0.0003619408,0.0003823714,0.5959551,0.003908925,0.3730027,0.00074317935,0.00009320877],"about_ca_topic_score_codex":0.0018515721,"about_ca_topic_score_gemma":0.0007019075,"teacher_disagreement_score":0.0027520785,"about_ca_system_score_codex":0.000624612,"about_ca_system_score_gemma":0.0004757999,"threshold_uncertainty_score":0.009886026},"labels":[],"label_agreement":null},{"id":"W2143957249","doi":"10.1506/car.26.3.11","title":"Do Managers Value Stock Options and Restricted Stock Consistent with Economic Theory?*","year":2009,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vesting; Restricted stock; Stock (firearms); Non-qualified stock option; Growth stock; Economics; Financial economics; Cost price; Stock market bubble; Business; Stock market","score_opus":0.07972617738549233,"score_gpt":0.2936232126616356,"score_spread":0.2138970352761433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143957249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99487525,0.0002728828,0.0004971902,0.00051131065,0.000011693534,0.000011237512,0.000056461988,0.0000034561244,0.0037604584],"genre_scores_gemma":[0.99897623,0.00016330674,0.00024804627,0.00021039993,0.000017817767,0.0000065433865,0.000051166888,9.385325e-7,0.0003254582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911195,0.00026533287,0.00012876713,0.00008124735,0.00031025644,0.00010239078],"domain_scores_gemma":[0.9727233,0.0068541123,0.016191179,0.0010765898,0.0019022275,0.0012525815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003272656,0.00014823837,0.00021507981,0.0009474859,0.00031018467,0.0017120758,0.0003335359,0.00066817325,0.003631491],"category_scores_gemma":[0.02479485,0.00014594397,0.00012460309,0.00062387926,0.0008644291,0.0025629788,0.0004045289,0.00048114863,0.0005719387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012196604,0.00016544109,0.9649506,0.00007512476,0.00005105807,0.000090623544,0.0033099423,0.00031146366,0.00090273557,0.0018894209,0.0006272645,0.02750434],"study_design_scores_gemma":[0.000015351583,0.00032269536,0.9790206,0.00007204098,0.000023048224,0.0002944509,0.011288558,0.0016616242,0.0003191942,0.004086703,0.0028689285,0.000026674694],"about_ca_topic_score_codex":0.0009019643,"about_ca_topic_score_gemma":0.0016924677,"teacher_disagreement_score":0.003631491,"about_ca_system_score_codex":0.00031488255,"about_ca_system_score_gemma":0.00027388142,"threshold_uncertainty_score":0.01730764},"labels":[],"label_agreement":null},{"id":"W2145152741","doi":"10.1111/j.1468-5957.2008.02105.x","title":"Cross‐listing and Trading on the Domestic Market: Evidence from Canada–US Partial Holidays","year":2008,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; University of Saskatchewan","funders":"","keywords":"Listing (finance); Market liquidity; Stock exchange; Business; Database transaction; Alternative trading system; Algorithmic trading; Financial economics; Open outcry; Stock (firearms); Cross listing; Stock market; Monetary economics; Economics; Finance; Database; Geography","score_opus":0.05480981599294559,"score_gpt":0.2366373126830217,"score_spread":0.1818274966900761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145152741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950287,0.00030171618,0.000043495078,0.00013314952,0.000009051516,0.000007919131,0.0022751647,0.0000061196633,0.0021947778],"genre_scores_gemma":[0.99583995,0.00022817793,0.000045764587,0.000038422968,0.000009270211,0.0000029890252,0.0031512827,0.0000048780284,0.00067922706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996031,0.00002238829,0.000019305822,0.000051936666,0.00014320738,0.00016011523],"domain_scores_gemma":[0.99586934,0.0004258276,0.001226038,0.0001841499,0.0013596613,0.0009349603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004494705,0.0002773693,0.00037941296,0.001489589,0.001598999,0.0016336791,0.00055098196,0.00034671972,0.0029662538],"category_scores_gemma":[0.0024115844,0.00016903334,0.00036161437,0.0040660943,0.0005551968,0.00041733606,0.00087812444,0.0006023452,0.0002765373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027789286,0.000077302924,0.98968387,0.000030148576,0.00011409128,0.0001786567,0.00081042876,0.00028829093,0.00028851567,0.00019451439,0.0023214533,0.005734797],"study_design_scores_gemma":[0.0000029304917,0.000008404223,0.99854004,0.000007625448,0.000012629704,0.000017400575,0.0004822629,0.00018456312,0.000059169088,0.000011171981,0.0006686522,0.0000051847624],"about_ca_topic_score_codex":0.9505581,"about_ca_topic_score_gemma":0.97387886,"teacher_disagreement_score":0.049441874,"about_ca_system_score_codex":0.005002548,"about_ca_system_score_gemma":0.005124811,"threshold_uncertainty_score":0.099466026},"labels":[],"label_agreement":null},{"id":"W2145526585","doi":"10.1007/s11579-009-0021-2","title":"Static portfolio choice under Cumulative Prospect Theory","year":2009,"lang":"en","type":"article","venue":"Mathematics and Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cumulative prospect theory; Expected utility hypothesis; Economics; Prospect theory; Portfolio; Asset (computer security); Skewness; Econometrics; Capital asset pricing model; Modern portfolio theory; Mathematical economics; Financial economics; Microeconomics; Computer science","score_opus":0.026749301989351357,"score_gpt":0.22476264864058026,"score_spread":0.1980133466512289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145526585","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32043022,0.0030633125,0.6414513,0.0047012805,0.00032278697,0.000083714076,0.0004493968,0.0002681823,0.02922983],"genre_scores_gemma":[0.96779084,0.001659764,0.015396373,0.00022920115,0.00032087648,0.00005487351,0.00020524288,0.00003627194,0.014306558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99854386,0.0007320573,0.00006408702,0.0001949719,0.00030834493,0.000156751],"domain_scores_gemma":[0.9875942,0.008919518,0.001408235,0.00046336514,0.00081724446,0.0007974326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040095467,0.000816176,0.0016041823,0.0016272422,0.0004053357,0.0031208408,0.0011643026,0.0021010214,0.005595929],"category_scores_gemma":[0.021724865,0.00070782076,0.0008086367,0.0013677126,0.0016625435,0.00571148,0.0013266223,0.0014948666,0.00061212067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001697385,0.00007141084,0.0019015205,0.00009208118,0.000082218845,0.00019536355,0.000076264994,0.09932253,0.0005050252,0.8792401,0.0020404425,0.016303346],"study_design_scores_gemma":[0.00003853198,0.00004751448,0.0007297264,0.000017017286,0.00002396867,0.00008779432,0.00002243212,0.22377817,0.00013280967,0.77455693,0.0005401933,0.000024773017],"about_ca_topic_score_codex":0.00083981716,"about_ca_topic_score_gemma":0.0004914475,"teacher_disagreement_score":0.005595929,"about_ca_system_score_codex":0.0012692435,"about_ca_system_score_gemma":0.0008348854,"threshold_uncertainty_score":0.02120477},"labels":[],"label_agreement":null},{"id":"W2145788827","doi":"10.1111/j.1467-9396.2006.00590.x","title":"Rate‐of‐return Parity in Experimental Asset Markets*","year":2006,"lang":"en","type":"article","venue":"Review of International Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of New Brunswick","funders":"","keywords":"Dividend; Economics; Holding period return; Financial economics; Rate of return; Econometrics; Arbitrage; Time-weighted return; Book value; Interest rate parity; Monetary economics; Rate of return on a portfolio; Investment performance; Interest rate; Finance; Microeconomics; Return on investment","score_opus":0.020231321869197495,"score_gpt":0.24453532272504908,"score_spread":0.2243040008558516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145788827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920907,0.00018202738,0.00593738,0.00007106723,0.0000250043,0.000056307177,0.00007960101,0.000019123983,0.001538825],"genre_scores_gemma":[0.997447,0.00008984802,0.0020090274,0.000024916393,0.000013872676,0.00008960552,0.00007366455,0.0000073163574,0.00024476412],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99699473,0.0016763903,0.00022536848,0.00037500978,0.0005807085,0.00014783634],"domain_scores_gemma":[0.96895057,0.021574985,0.0053453753,0.0030397458,0.0007523368,0.00033699872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077594677,0.00037696405,0.00053649774,0.00047241608,0.0002212887,0.0012151015,0.0005735382,0.00074882497,0.0021611433],"category_scores_gemma":[0.023865791,0.0003001421,0.00036272855,0.00046415397,0.0013666046,0.0014389051,0.00068281457,0.00093088084,0.00021997644],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.035560757,0.023154153,0.11922859,0.0014192179,0.001314476,0.00094212044,0.0018397791,0.03865061,0.5011327,0.16992399,0.0016713161,0.10516236],"study_design_scores_gemma":[0.004160254,0.037491865,0.11386622,0.00017189866,0.00073524914,0.0012005961,0.00063563674,0.25573963,0.41563162,0.1648933,0.005109319,0.00036451698],"about_ca_topic_score_codex":0.00034881438,"about_ca_topic_score_gemma":0.00012728204,"teacher_disagreement_score":0.0077594677,"about_ca_system_score_codex":0.00045192838,"about_ca_system_score_gemma":0.00032437834,"threshold_uncertainty_score":0.041036487},"labels":[],"label_agreement":null},{"id":"W2146114088","doi":"10.1108/17554171111176903","title":"The financial crisis and the failure of modern social science","year":2011,"lang":"en","type":"article","venue":"Qualitative Research in Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph-Humber","funders":"","keywords":"Positivism; Financial crisis; Originality; Empiricism; Economics; Sociology; Finance; Positive economics; Epistemology; Social science; Political science; Qualitative research; Law; Macroeconomics","score_opus":0.17735520869941038,"score_gpt":0.38473448812413436,"score_spread":0.20737927942472398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146114088","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1065591,0.017207775,0.029999997,0.70217353,0.0018110758,0.00009566028,0.00010644009,0.00011277201,0.14193366],"genre_scores_gemma":[0.98186,0.0035142172,0.0027396434,0.008996589,0.0005850528,0.000085002306,0.000020422412,0.00003371791,0.0021654803],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9833251,0.012294669,0.0003255336,0.0010424479,0.0021894367,0.0008228271],"domain_scores_gemma":[0.9431395,0.04403838,0.0033877753,0.0033571406,0.003946383,0.0021309268],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.031099977,0.00034837882,0.00085901935,0.0027809092,0.006242954,0.008040084,0.0013686789,0.0037420006,0.004050014],"category_scores_gemma":[0.037075892,0.00030897543,0.00030207986,0.0021193156,0.07888942,0.014348585,0.0068450933,0.0074261334,0.00040550515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021808224,0.000020641231,0.0006392533,0.00010243445,0.000007742883,0.00007684611,0.012897893,0.00037436662,0.000057186146,0.972492,0.0038788868,0.009430879],"study_design_scores_gemma":[0.000012039852,0.000022106906,0.0007899897,0.000226452,0.0000031984014,0.000067542576,0.012561241,0.0007818669,0.00007375494,0.94695014,0.038496055,0.000015684966],"about_ca_topic_score_codex":0.0042664474,"about_ca_topic_score_gemma":0.0021851698,"teacher_disagreement_score":0.99375707,"about_ca_system_score_codex":0.009708779,"about_ca_system_score_gemma":0.0066699986,"threshold_uncertainty_score":0.16447437},"labels":[],"label_agreement":null},{"id":"W2146250535","doi":"10.2139/ssrn.2433506","title":"How to Lose Money in Derivatives: Examples from Hedge Funds and Bank Trading Departments","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council","keywords":"Hedge fund; Business; Financial system; Monetary economics; Hedge; Finance; Financial economics; Economics","score_opus":0.023756168555470917,"score_gpt":0.21108035743997502,"score_spread":0.1873241888845041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146250535","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5001461,0.015972462,0.02033533,0.023754057,0.0005572896,0.00010926297,0.00042685858,0.0004207613,0.43827796],"genre_scores_gemma":[0.91918045,0.005562757,0.008614271,0.0022687023,0.00023119696,0.000036464095,0.00022781237,0.00019298999,0.06368543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979765,0.0008093671,0.000110165645,0.00013489039,0.00057909533,0.00038998268],"domain_scores_gemma":[0.996218,0.0020974998,0.0003225361,0.0003259452,0.00041634755,0.00061964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028028523,0.0003966905,0.00030973312,0.0017634277,0.0038470728,0.006298357,0.00084323995,0.0033786525,0.005834584],"category_scores_gemma":[0.00913688,0.00021573169,0.00048343782,0.002839862,0.0031900771,0.0047419085,0.0029743013,0.002153337,0.0011308388],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005097733,0.00043963568,0.029294005,0.00048507872,0.00009225069,0.005480287,0.05892361,0.0028364598,0.0022240805,0.4741618,0.09183045,0.33372253],"study_design_scores_gemma":[0.00008708322,0.0001592989,0.021175982,0.00054556655,0.00007532933,0.003288277,0.04226397,0.0034995247,0.0030657023,0.13420056,0.7915224,0.0001163985],"about_ca_topic_score_codex":0.0047994154,"about_ca_topic_score_gemma":0.008683351,"teacher_disagreement_score":0.006298357,"about_ca_system_score_codex":0.001955574,"about_ca_system_score_gemma":0.0016159966,"threshold_uncertainty_score":0.019518614},"labels":[],"label_agreement":null},{"id":"W2146310368","doi":"10.2139/ssrn.1571920","title":"Information Disclosure and Intraday Price Discovery: Evidence from Jumps","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Price discovery; Business; Econometrics; Financial economics; Economics; Monetary economics; Futures contract","score_opus":0.021646714991642137,"score_gpt":0.19039477973959196,"score_spread":0.16874806474794982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146310368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936068,0.0011421061,0.0008133956,0.0007493562,0.00002454302,0.000015422063,0.00041128584,0.000019912008,0.0032172063],"genre_scores_gemma":[0.9986828,0.00041662224,0.00019182742,0.00007065651,0.0000619667,0.0000046703167,0.0002272938,0.0000047738445,0.00033951516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805695,0.000652959,0.00025405412,0.00026221696,0.00057325687,0.00020055941],"domain_scores_gemma":[0.7656158,0.16356823,0.054877084,0.01001224,0.003720149,0.0022065477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040085968,0.00024952213,0.00059325475,0.0012341458,0.00050399284,0.0025667227,0.0008195755,0.0020611992,0.0051328302],"category_scores_gemma":[0.08736607,0.00037836313,0.00033398328,0.0020591875,0.0010923175,0.0025475004,0.0011889181,0.0019462724,0.00060282735],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007309225,0.0013918633,0.9053449,0.0003248791,0.00060721854,0.0011757709,0.0014718977,0.0023676683,0.0041814577,0.007916131,0.0025195384,0.06538948],"study_design_scores_gemma":[0.00045856647,0.0011818162,0.94855,0.00012059842,0.00067303027,0.0019655656,0.00094540743,0.012467388,0.004343229,0.026087677,0.0031056001,0.00010114145],"about_ca_topic_score_codex":0.0015143004,"about_ca_topic_score_gemma":0.00083627156,"teacher_disagreement_score":0.0051328302,"about_ca_system_score_codex":0.0002722963,"about_ca_system_score_gemma":0.0003142875,"threshold_uncertainty_score":0.021199703},"labels":[],"label_agreement":null},{"id":"W2146699592","doi":"10.1142/s0219868104000154","title":"THE GLOBAL MACRO HEDGE FUND CEMETERY","year":2004,"lang":"en","type":"article","venue":"Journal of Derivatives Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Hedge fund; Leverage (statistics); Macro; Hedge; Economics; Finance; Mathematics; Computer science; Statistics","score_opus":0.058965406542069096,"score_gpt":0.24730950092736345,"score_spread":0.18834409438529437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146699592","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21954358,0.014623693,0.0029174134,0.046220813,0.0040081567,0.00007539925,0.0038634064,0.000526851,0.7082207],"genre_scores_gemma":[0.7601554,0.0043492955,0.003003817,0.0030174404,0.0009796766,0.00003515849,0.0017489132,0.00021405584,0.22649631],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9997911,0.00002850453,0.0000075830017,0.000031169184,0.000092362774,0.000049267615],"domain_scores_gemma":[0.99960166,0.000043472643,0.00005604171,0.00005978703,0.00011667794,0.00012237672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048610967,0.0001978402,0.00020899305,0.0013726053,0.0010265152,0.003525083,0.000284272,0.0010942395,0.013899497],"category_scores_gemma":[0.0018364454,0.00013383005,0.0001463026,0.0010828648,0.0005308449,0.0016604048,0.0013748549,0.0010717574,0.0014278772],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038396099,0.0000432259,0.017866446,0.00014049365,0.000045524088,0.0014591872,0.0013246434,0.002847923,0.0019316524,0.32710928,0.36815873,0.27868894],"study_design_scores_gemma":[0.000012701342,0.000034477915,0.022917744,0.000111516216,0.000014595138,0.00031883715,0.0006808316,0.0009919566,0.0005634141,0.018646276,0.9556901,0.000017575338],"about_ca_topic_score_codex":0.011768112,"about_ca_topic_score_gemma":0.02872819,"teacher_disagreement_score":0.013899497,"about_ca_system_score_codex":0.0015065316,"about_ca_system_score_gemma":0.0020068141,"threshold_uncertainty_score":0.046498477},"labels":[],"label_agreement":null},{"id":"W2146930477","doi":"10.1111/0022-1082.00350","title":"Overconfidence, Arbitrage, and Equilibrium Asset Pricing","year":2001,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1014,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Arbitrage; Overconfidence effect; Financial economics; Capital asset pricing model; Volatility (finance); Systematic risk; Econometrics; Asset (computer security); Arbitrage pricing theory; Value (mathematics)","score_opus":0.027777627727078303,"score_gpt":0.22406829771621234,"score_spread":0.19629066998913403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146930477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91328084,0.0017671573,0.054583885,0.0033087025,0.00005033361,0.000024404217,0.000107987435,0.00008084423,0.02679588],"genre_scores_gemma":[0.9970319,0.00026243823,0.0011658049,0.000051019742,0.000037037633,0.0000069825255,0.000021402198,0.00000439539,0.0014188507],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991572,0.0003606939,0.00003324128,0.00011636785,0.00014196782,0.00019053549],"domain_scores_gemma":[0.9909203,0.0057268953,0.0019252137,0.0004519707,0.00041846867,0.00055706734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031022942,0.00046111067,0.00077716005,0.0007127628,0.00043823794,0.002671058,0.00086870464,0.0013951549,0.0043079313],"category_scores_gemma":[0.026331872,0.00032843364,0.0003571095,0.0005982401,0.0016652113,0.003341814,0.00097518734,0.0016327361,0.00035277408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046964112,0.000293941,0.03236541,0.00009531498,0.00010356392,0.00097363046,0.0007674307,0.11480676,0.0010265831,0.79608136,0.00199869,0.051017635],"study_design_scores_gemma":[0.000075720534,0.000074850504,0.006545366,0.000019472924,0.000018291687,0.00021407053,0.00010720388,0.17086288,0.00012847486,0.8213089,0.00061936805,0.000025309178],"about_ca_topic_score_codex":0.0028125648,"about_ca_topic_score_gemma":0.0013143184,"teacher_disagreement_score":0.0043079313,"about_ca_system_score_codex":0.0010409539,"about_ca_system_score_gemma":0.0005539678,"threshold_uncertainty_score":0.016406655},"labels":[],"label_agreement":null},{"id":"W2146964229","doi":"10.2139/ssrn.685965","title":"An Empirical Analysis of U.S. Aggregate Portfolio Allocations","year":2005,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Portfolio; Economics; Welfare economics; Portfolio optimization; Variation (astronomy); Portfolio investment; Microeconomics; Econometrics; Financial economics","score_opus":0.027211356997307222,"score_gpt":0.27546008684151013,"score_spread":0.2482487298442029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146964229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941632,0.00043659736,0.00040351402,0.00033074894,0.000009087588,0.000005914631,0.0019355859,0.0000266538,0.0026885418],"genre_scores_gemma":[0.9961569,0.00024431795,0.0002184445,0.000046450205,0.000015940848,0.000006305656,0.0023179047,0.000007389071,0.0009862912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961793,0.00015066654,0.000031165866,0.00007751522,0.00007488754,0.000047750098],"domain_scores_gemma":[0.99331665,0.002776056,0.002183641,0.00048315898,0.0009611641,0.0002792608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010880526,0.0001961213,0.0002342354,0.0011088088,0.00032842267,0.0011959563,0.00029789683,0.0005198603,0.003686385],"category_scores_gemma":[0.008858359,0.00015625895,0.00023308917,0.0032904109,0.00023210475,0.00078664545,0.0006305318,0.0005149419,0.0012154678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007321319,0.00037520163,0.8884548,0.00006216999,0.0002801028,0.00021271696,0.00067747687,0.018176816,0.0007792537,0.011630833,0.021158105,0.05746038],"study_design_scores_gemma":[0.000039653518,0.00020324191,0.95191205,0.000034221634,0.000107202846,0.00023488924,0.00094856974,0.033386555,0.00087184936,0.004472412,0.0077656526,0.000023720258],"about_ca_topic_score_codex":0.012522499,"about_ca_topic_score_gemma":0.0164852,"teacher_disagreement_score":0.012522499,"about_ca_system_score_codex":0.0007310591,"about_ca_system_score_gemma":0.00031270078,"threshold_uncertainty_score":0.024899185},"labels":[],"label_agreement":null},{"id":"W2147543505","doi":"10.1108/raf-04-2014-0046","title":"Information asymmetry around S&amp;P 500 index changes","year":2015,"lang":"en","type":"article","venue":"Review of Accounting and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Adverse selection; Index (typography); Market liquidity; Information asymmetry; Revenue; Selection (genetic algorithm); Economics; Value (mathematics); Econometrics; Monetary economics; Actuarial science; Microeconomics; Statistics; Computer science; Finance; Mathematics","score_opus":0.038731642981531575,"score_gpt":0.24163806944883254,"score_spread":0.20290642646730095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147543505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97926086,0.0019460768,0.005625594,0.0007299194,0.000050677558,0.0000651766,0.00061692996,0.00005965857,0.011645051],"genre_scores_gemma":[0.99811494,0.0005244535,0.0005288432,0.000057446654,0.00009146602,0.00000833857,0.00018569792,0.000004768492,0.00048397708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966241,0.00065267377,0.00037892442,0.00042195787,0.0017079536,0.00021445133],"domain_scores_gemma":[0.92218184,0.030474668,0.038223244,0.002890506,0.005390444,0.0008392201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035935186,0.00024886805,0.0004913114,0.002399069,0.00024132805,0.0023067882,0.00044724956,0.00059945934,0.002048857],"category_scores_gemma":[0.035242893,0.00018651027,0.00041123782,0.0019958245,0.00064342277,0.0022415707,0.0007469648,0.00070980703,0.00043123378],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016194169,0.00023498766,0.792121,0.00045581494,0.00054291333,0.0018798119,0.0010177961,0.015144765,0.010982213,0.0146250855,0.0026919357,0.15868427],"study_design_scores_gemma":[0.00003297258,0.00043955183,0.9511554,0.000127225,0.00020576699,0.0011319569,0.000783163,0.019111257,0.0065127052,0.01487606,0.005530905,0.00009296969],"about_ca_topic_score_codex":0.0013437235,"about_ca_topic_score_gemma":0.0010693708,"teacher_disagreement_score":0.0035935186,"about_ca_system_score_codex":0.00077560864,"about_ca_system_score_gemma":0.00046004157,"threshold_uncertainty_score":0.019004583},"labels":[],"label_agreement":null},{"id":"W2147839231","doi":"10.2139/ssrn.266956","title":"Strategic IPO Underpricing, Information Momentum, and Lockup Expiration Selling","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Initial public offering; Business; Expiration; Momentum (technical analysis); Monetary economics; Finance; Financial system; Economics; Medicine; Internal medicine","score_opus":0.021382772791441514,"score_gpt":0.2003031155299943,"score_spread":0.17892034273855278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147839231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802255,0.00083560497,0.0031478463,0.0016194562,0.000036564128,0.000015693282,0.000058337155,0.000025150417,0.014035765],"genre_scores_gemma":[0.99905723,0.00013040987,0.000085565356,0.00003333585,0.00003437896,0.0000016805303,0.000012696329,0.0000012159827,0.0006434675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996145,0.00009397226,0.00003283235,0.000062036044,0.00006105306,0.00013554971],"domain_scores_gemma":[0.97174174,0.016386736,0.00869225,0.00093086256,0.00069655944,0.0015518741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020279903,0.00030758762,0.0006423989,0.00074937,0.0006438135,0.0031840678,0.00039440187,0.0019349359,0.0077642086],"category_scores_gemma":[0.023410687,0.00028283946,0.0003422719,0.00065814523,0.0012330419,0.003241634,0.0009196895,0.0021670836,0.0003299309],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0044257566,0.0023586676,0.6591816,0.00029518158,0.00036142234,0.0071987486,0.0015546087,0.022443846,0.006052244,0.19040109,0.006655615,0.09907122],"study_design_scores_gemma":[0.00049441354,0.0016553468,0.413688,0.000090417234,0.00055160077,0.0039782883,0.0039330125,0.11593359,0.0029136676,0.45382732,0.002804529,0.00012984431],"about_ca_topic_score_codex":0.0011216038,"about_ca_topic_score_gemma":0.0010443551,"teacher_disagreement_score":0.0077642086,"about_ca_system_score_codex":0.00047398574,"about_ca_system_score_gemma":0.0006355067,"threshold_uncertainty_score":0.025973916},"labels":[],"label_agreement":null},{"id":"W2148226134","doi":"10.3386/w7835","title":"Rebels, Conformists, Contrarians and Momentum Traders","year":2000,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Momentum (technical analysis); Economics; Econometrics; Political science; Financial economics","score_opus":0.3750895546973187,"score_gpt":0.4375838916968732,"score_spread":0.06249433699955448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148226134","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26032758,0.014534326,0.0032585678,0.035287738,0.0009860764,0.00012338528,0.0013484977,0.000078945865,0.68405485],"genre_scores_gemma":[0.78974515,0.009183816,0.00086253765,0.0025452918,0.0010702806,0.000074812706,0.00068021705,0.000026564505,0.19581145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994843,0.00011167045,0.000018051182,0.00006923039,0.00013469694,0.00018194209],"domain_scores_gemma":[0.99776614,0.00089920795,0.00080273545,0.0001069263,0.00017646812,0.0002484253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083099556,0.0003834694,0.00041429835,0.0013264315,0.0018047531,0.00495923,0.00044249676,0.0021336754,0.040835433],"category_scores_gemma":[0.0032630186,0.00018259679,0.00016397206,0.0016436286,0.0012128206,0.0039293915,0.001076495,0.0015774604,0.0035414482],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005436593,0.00029154017,0.042629194,0.00026113383,0.000034861703,0.00036835382,0.003854826,0.00052017556,0.00028440868,0.74397254,0.08506327,0.12217605],"study_design_scores_gemma":[0.0002583795,0.00036924146,0.10152863,0.00063061266,0.00013410485,0.0009460188,0.019029668,0.002098341,0.00092588575,0.45814684,0.4158545,0.00007788041],"about_ca_topic_score_codex":0.0023442716,"about_ca_topic_score_gemma":0.006492832,"teacher_disagreement_score":0.040835433,"about_ca_system_score_codex":0.00056375994,"about_ca_system_score_gemma":0.0007879189,"threshold_uncertainty_score":0.13660818},"labels":[],"label_agreement":null},{"id":"W2148290296","doi":"10.1002/for.1116","title":"Risk factor beta conditional value‐at‐risk","year":2008,"lang":"en","type":"article","venue":"Journal of Forecasting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Portfolio; Econometrics; Economics; Value at risk; Index (typography); Benchmark (surveying); Value (mathematics); Percentile; Asset (computer security); Capital asset pricing model; Portfolio optimization; Estimation; Financial economics; Statistics; Computer science; Mathematics; Risk management; Finance","score_opus":0.06788871973516089,"score_gpt":0.21945121277255272,"score_spread":0.15156249303739183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148290296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12841429,0.0011868755,0.85933375,0.0005226584,0.000113829854,0.000076958204,0.00049722655,0.00046475165,0.00938971],"genre_scores_gemma":[0.94920576,0.0009192404,0.04548266,0.000072399314,0.00018718802,0.00007006155,0.00056662736,0.000074213815,0.0034217527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987055,0.00041981513,0.000047806163,0.00028750248,0.00042438236,0.00011487466],"domain_scores_gemma":[0.9932573,0.0041664047,0.0009666846,0.00071566226,0.0007562815,0.00013772503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029559783,0.0008370856,0.00096902734,0.0019245305,0.0002975088,0.002378747,0.0010554101,0.0007694909,0.004963653],"category_scores_gemma":[0.02149161,0.00039069046,0.0006762819,0.0011542988,0.00089798815,0.0026677763,0.0008184493,0.0016824851,0.0007910078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012996185,0.00006491913,0.024356168,0.0000834875,0.00029013082,0.0003004477,0.00018727127,0.63422495,0.0015484102,0.2530439,0.0034242035,0.0823462],"study_design_scores_gemma":[0.000012820715,0.000036943187,0.0070138834,0.00004173922,0.00004011377,0.00013482929,0.00002416503,0.82696337,0.001010171,0.162982,0.0016851107,0.000054845128],"about_ca_topic_score_codex":0.0040121907,"about_ca_topic_score_gemma":0.0016167861,"teacher_disagreement_score":0.004963653,"about_ca_system_score_codex":0.0009544151,"about_ca_system_score_gemma":0.0005737257,"threshold_uncertainty_score":0.016605139},"labels":[],"label_agreement":null},{"id":"W2148408190","doi":"","title":"Canada's Capital Markets: How Do They Measure Up?","year":2004,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Market liquidity; Capital market; Economics; Market efficiency; Context (archaeology); Capital (architecture); Financial economics; Industrial organization; Monetary economics; Finance; Computer science","score_opus":0.01628854268526996,"score_gpt":0.18043201127213931,"score_spread":0.16414346858686935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148408190","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0325079,0.20885329,0.007280663,0.39930376,0.00286757,0.0001908308,0.0061395518,0.00036968951,0.34248674],"genre_scores_gemma":[0.7417457,0.15976365,0.012649151,0.03553852,0.0014047662,0.0001566775,0.0021483914,0.00027078725,0.046322335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9921904,0.000749096,0.00021851981,0.00058067415,0.004649286,0.0016119565],"domain_scores_gemma":[0.98398966,0.0015701217,0.0012769011,0.0003769311,0.011090392,0.0016959135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041408623,0.0009953859,0.0010461395,0.010254945,0.0071271695,0.018124996,0.0023666732,0.0022870502,0.007402807],"category_scores_gemma":[0.022795187,0.00044937563,0.0006323614,0.018717086,0.006731273,0.009410624,0.002030135,0.0034591933,0.0007114236],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005401235,0.00003144293,0.018860543,0.0005665017,0.00017419377,0.00018197052,0.0030285793,0.0016480607,0.00016312262,0.60154665,0.2090494,0.16469559],"study_design_scores_gemma":[0.00004681549,0.00003310976,0.09078836,0.0019108445,0.00021595796,0.00019187212,0.010268472,0.0029118399,0.0006012269,0.106517665,0.7862644,0.00024936386],"about_ca_topic_score_codex":0.987513,"about_ca_topic_score_gemma":0.98912746,"teacher_disagreement_score":0.14008485,"about_ca_system_score_codex":0.14008485,"about_ca_system_score_gemma":0.16152008,"threshold_uncertainty_score":0.99737966},"labels":[],"label_agreement":null},{"id":"W2148861259","doi":"10.1287/mnsc.1050.0418","title":"An Algorithm for Portfolio Optimization with Transaction Costs","year":2005,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematical optimization; Transaction cost; Computer science; Portfolio optimization; Portfolio; Optimization problem; Function (biology); Bellman equation; Algorithm; Database transaction; Sequence (biology); Mathematics; Economics; Finance","score_opus":0.015461561667355047,"score_gpt":0.22015786151447314,"score_spread":0.2046962998471181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148861259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035454473,0.00021582616,0.9922122,0.00022684965,0.000047428755,0.00009237211,0.00006679227,0.00043968717,0.0031534238],"genre_scores_gemma":[0.10221351,0.00039518956,0.8910056,0.00014515311,0.000058435675,0.0007125002,0.00033087947,0.00021799126,0.0049207727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99921024,0.000289903,0.00005128778,0.00011961921,0.00024032177,0.000088464505],"domain_scores_gemma":[0.99867105,0.0008128224,0.000080430254,0.00012567216,0.0002496133,0.000060381484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011804596,0.0011999289,0.0012993427,0.00082812016,0.00066803384,0.0015038843,0.001806682,0.0017575494,0.009317602],"category_scores_gemma":[0.0049358653,0.0006038253,0.0007208514,0.0016827552,0.0006248695,0.0023171802,0.0017322215,0.0019123927,0.0018189984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018495362,0.00014146684,0.00059599086,0.00016657554,0.000072649564,0.00012447765,0.00009430107,0.6718103,0.00096008106,0.060647782,0.0097450055,0.25545633],"study_design_scores_gemma":[0.00007310271,0.000031527557,0.000050531697,0.000011644624,0.000008962417,0.000043525208,0.000012056318,0.96473885,0.00025926976,0.031834472,0.0029302302,0.0000058606697],"about_ca_topic_score_codex":0.0026909143,"about_ca_topic_score_gemma":0.0026065328,"teacher_disagreement_score":0.009317602,"about_ca_system_score_codex":0.0008746343,"about_ca_system_score_gemma":0.0018329726,"threshold_uncertainty_score":0.031170487},"labels":[],"label_agreement":null},{"id":"W2149217329","doi":"","title":"Revisiting Idiosyncratic Volatility and Stock Returns","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Volatility (finance); Stock (firearms); Economics; Portfolio; Volatility risk premium; Financial economics; Systematic risk; Volatility swap; Implied volatility; Volatility smile; Econometrics; Monetary economics","score_opus":0.01507188096710589,"score_gpt":0.20260122283421583,"score_spread":0.18752934186710996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149217329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97757363,0.008394361,0.003384934,0.0016842866,0.000059385067,0.000006874838,0.00022022311,0.00002046578,0.008655858],"genre_scores_gemma":[0.9962836,0.0024085953,0.0003280771,0.00008472613,0.000098900644,0.0000015953573,0.00009078585,0.0000050862927,0.00069853116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996051,0.00013523403,0.00003865201,0.00006330565,0.00009658834,0.0000611582],"domain_scores_gemma":[0.9942115,0.0026063558,0.0022310708,0.00039610086,0.00034408574,0.00021085145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010210241,0.00027215175,0.00037981084,0.0009858053,0.00018331868,0.001649246,0.00035066952,0.0003591315,0.0012964074],"category_scores_gemma":[0.005590962,0.00014800095,0.000404335,0.0014792968,0.0005944604,0.0014540711,0.0007866203,0.0010808839,0.0001634382],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001822538,0.00012258612,0.8928544,0.000191871,0.00054297876,0.0009829259,0.0009655562,0.008593123,0.0026104425,0.033409838,0.000995082,0.058548898],"study_design_scores_gemma":[0.000011481279,0.00015534283,0.94721305,0.000145653,0.00019110336,0.0004549376,0.0006683643,0.008169848,0.00097096484,0.036896594,0.005075554,0.0000471098],"about_ca_topic_score_codex":0.004914664,"about_ca_topic_score_gemma":0.0062647527,"teacher_disagreement_score":0.004914664,"about_ca_system_score_codex":0.000390214,"about_ca_system_score_gemma":0.00044601853,"threshold_uncertainty_score":0.009772122},"labels":[],"label_agreement":null},{"id":"W2149344614","doi":"10.1142/s0219091514500209","title":"Security Issuances in Hot and Cold Markets","year":2014,"lang":"en","type":"article","venue":"Review of Pacific Basin Financial Markets and Policies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Equity (law); Adverse selection; Exploit; Shareholder; Business; Monetary economics; Equity capital markets; Financial system; Economics; Finance; Corporate governance; Private equity","score_opus":0.014395693991332222,"score_gpt":0.22461020825547265,"score_spread":0.21021451426414042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149344614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90448135,0.033867065,0.0025877566,0.0030146209,0.00011827355,0.000053688742,0.0002894643,0.000045000193,0.055542726],"genre_scores_gemma":[0.98124576,0.013674531,0.00039150828,0.0003388797,0.0001395842,0.000011290529,0.00013545295,0.000007818425,0.0040552095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948066,0.000109823915,0.000038673927,0.00008676401,0.00015673504,0.00012738994],"domain_scores_gemma":[0.99524,0.000874459,0.0032467325,0.000108549866,0.000248957,0.0002813006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013112425,0.00015151218,0.0002471935,0.00089424115,0.0003921311,0.0020676868,0.0002781044,0.0008388103,0.0033464755],"category_scores_gemma":[0.004274294,0.0001684856,0.00024131584,0.0012157469,0.00085050816,0.0023288014,0.000789653,0.0008453634,0.00027575193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007373031,0.00039423612,0.42611104,0.001537703,0.00033968108,0.0027324585,0.003106503,0.0047469204,0.009599849,0.1675552,0.012386235,0.37075278],"study_design_scores_gemma":[0.000051823157,0.00035226508,0.8448359,0.00075125584,0.00012349109,0.0010408494,0.0034982185,0.002576778,0.003907313,0.048152786,0.09464444,0.00006480966],"about_ca_topic_score_codex":0.0017117929,"about_ca_topic_score_gemma":0.0026139575,"teacher_disagreement_score":0.0033464755,"about_ca_system_score_codex":0.0006522282,"about_ca_system_score_gemma":0.000553024,"threshold_uncertainty_score":0.011195064},"labels":[],"label_agreement":null},{"id":"W2149461048","doi":"10.5267/j.msl.2014.3.012","title":"A study on the effect of stock liquidity and stock liquidity risk on information asymmetry: Evidence from Tehran Stock Exchange","year":2014,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Market liquidity; Information asymmetry; Stock (firearms); Market maker; Panel data; Econometrics; Asymmetry; Economics; Business; Financial economics; Monetary economics; Stock market; Finance","score_opus":0.03222564711414083,"score_gpt":0.2348679274828405,"score_spread":0.20264228036869966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149461048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967828,0.0009337545,0.000088940724,0.00042127713,0.0000046682785,0.0000052310415,0.00011822431,0.0000018335647,0.0016433266],"genre_scores_gemma":[0.9988226,0.0007185283,0.000048150057,0.000058961785,0.000030386314,0.0000020971936,0.0001687637,8.721601e-7,0.0001495477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991768,0.00020321092,0.00008849142,0.000086362,0.0003456157,0.000099440265],"domain_scores_gemma":[0.9801902,0.01054631,0.006951258,0.0004981615,0.0013238587,0.0004901095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017916645,0.00023244003,0.00031594586,0.0016410352,0.00036979845,0.0009315658,0.00025716037,0.00045213694,0.002507032],"category_scores_gemma":[0.008879383,0.00013287028,0.0004952203,0.0016877474,0.0004695618,0.0013038024,0.00046529644,0.00066424406,0.00021676924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029768466,0.00016427155,0.9762973,0.00015074016,0.00026648093,0.0006831889,0.0012605765,0.00035500628,0.00058066816,0.00091906596,0.0005116275,0.018513335],"study_design_scores_gemma":[0.000022195067,0.000084401196,0.9968252,0.000029552346,0.00012639105,0.00017032593,0.00088123535,0.0005609016,0.0002458044,0.00029827378,0.000746606,0.000009043789],"about_ca_topic_score_codex":0.0055895643,"about_ca_topic_score_gemma":0.0043975795,"teacher_disagreement_score":0.0055895643,"about_ca_system_score_codex":0.00038831236,"about_ca_system_score_gemma":0.00054247753,"threshold_uncertainty_score":0.011114061},"labels":[],"label_agreement":null},{"id":"W2149754556","doi":"10.2139/ssrn.1596244","title":"Persistence Analysis of Hedge Fund Returns","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Hedge fund; Persistence (discontinuity); Returns-based style analysis; Business; Actuarial science; Economics; Financial economics; Econometrics; Finance; Open-end fund; Engineering; Institutional investor; Corporate governance","score_opus":0.029286538225652477,"score_gpt":0.22250414694090123,"score_spread":0.19321760871524876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149754556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9021336,0.00051138,0.09323258,0.00041054055,0.000028468163,0.000019851515,0.00016985336,0.00014930798,0.003344375],"genre_scores_gemma":[0.9974317,0.00010658935,0.0013863154,0.000009959719,0.000029419614,0.000006322366,0.00009839898,0.00002056719,0.00091074465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997297,0.000061579456,0.000014472165,0.000057698508,0.00006789656,0.00006870673],"domain_scores_gemma":[0.99448305,0.003381624,0.0008729914,0.0004863741,0.00045615973,0.00031973788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012401456,0.00024357378,0.00044832585,0.0017588221,0.00039096206,0.0013053165,0.0006704336,0.0005202648,0.002536836],"category_scores_gemma":[0.0097821485,0.00019249106,0.0005293624,0.00096842326,0.0005911291,0.0014320279,0.0006253073,0.00103558,0.00017245856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077259855,0.00031338874,0.12873864,0.00024953252,0.0003581057,0.0008847156,0.00081301515,0.2016315,0.026490837,0.50365686,0.004231085,0.1318597],"study_design_scores_gemma":[0.00002044003,0.00008662686,0.02831744,0.000015508487,0.000057622226,0.00020714279,0.00014343423,0.90851915,0.001873155,0.060055315,0.00067352527,0.00003059161],"about_ca_topic_score_codex":0.0019054344,"about_ca_topic_score_gemma":0.00085422065,"teacher_disagreement_score":0.002536836,"about_ca_system_score_codex":0.0005333908,"about_ca_system_score_gemma":0.00048331483,"threshold_uncertainty_score":0.008486569},"labels":[],"label_agreement":null},{"id":"W2149882022","doi":"10.2139/ssrn.1365006","title":"Born Leaders: The Relative-Age Effect and Managerial Success","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Psychology; Marketing","score_opus":0.013852028010812756,"score_gpt":0.21927921946458775,"score_spread":0.205427191453775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149882022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959592,0.00037063012,0.00013486264,0.00068189437,0.00004224627,0.0000037926432,0.000053142234,0.0000037366758,0.0027505525],"genre_scores_gemma":[0.9985891,0.00008785345,0.000026339678,0.0000467877,0.000041418494,0.0000018433066,0.000022810791,0.0000020351927,0.0011817387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924636,0.00029399517,0.000041515097,0.000093969815,0.00009224962,0.00023190092],"domain_scores_gemma":[0.9797354,0.0086588245,0.0047979457,0.00058170856,0.0005385626,0.0056875274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023134637,0.00019910965,0.00035024306,0.00063803955,0.00070587493,0.001401202,0.00046610858,0.0010650337,0.011792893],"category_scores_gemma":[0.010457652,0.00016710898,0.0002895799,0.00041199868,0.000735109,0.0009307124,0.0008313693,0.0014766783,0.0010528524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005282073,0.0004586983,0.9848193,0.0000211215,0.000120242235,0.00039456907,0.0011116588,0.0003375733,0.00048861717,0.002270364,0.00070164545,0.00874806],"study_design_scores_gemma":[0.000060713915,0.00042786665,0.9916255,0.000023356037,0.00009567375,0.00029616462,0.002745645,0.00077422796,0.00025093518,0.0025419148,0.001141762,0.000016181819],"about_ca_topic_score_codex":0.0022494723,"about_ca_topic_score_gemma":0.0041350443,"teacher_disagreement_score":0.011792893,"about_ca_system_score_codex":0.00021888161,"about_ca_system_score_gemma":0.0004493463,"threshold_uncertainty_score":0.039451182},"labels":[],"label_agreement":null},{"id":"W2150451926","doi":"10.3905/jpm.2008.709979","title":"Benchmarking Measures of Investment Performance with Perfect-Foresight and Bankrupt Asset Allocation Strategies","year":2008,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Asset allocation; Benchmarking; Futures studies; Bankruptcy; Investment (military); Asset (computer security); Economics; Actuarial science; Business; Econometrics; Microeconomics; Finance; Computer science; Portfolio; Management","score_opus":0.03415159430478522,"score_gpt":0.19742341236688699,"score_spread":0.16327181806210178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150451926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8477861,0.00250568,0.086498745,0.0007436461,0.00018523494,0.00021359466,0.0024831027,0.00041244738,0.05917132],"genre_scores_gemma":[0.9854617,0.00028308752,0.012145267,0.000053072858,0.000053632546,0.000053058942,0.0010066284,0.000028956852,0.0009143821],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9861261,0.0056500626,0.0016106425,0.0008479189,0.0051780567,0.00058724073],"domain_scores_gemma":[0.9718722,0.010889777,0.0071241125,0.0044423337,0.0050427173,0.0006288185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0130668795,0.0006664301,0.00049593835,0.0039675958,0.0003108389,0.0022873364,0.0007529297,0.0010310904,0.0012523022],"category_scores_gemma":[0.051424745,0.00013523073,0.00043878696,0.005298207,0.0011592004,0.0034800759,0.0013546956,0.0005318697,0.00040498114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021314446,0.00091256434,0.32434756,0.0006189208,0.00093634945,0.00023428435,0.0015471131,0.17491986,0.0054850606,0.1352955,0.012864624,0.34070677],"study_design_scores_gemma":[0.00010873213,0.0045538084,0.65868366,0.00036587127,0.000249899,0.0008562442,0.0018223705,0.19827932,0.023339622,0.09163708,0.019770414,0.00033299427],"about_ca_topic_score_codex":0.0015214739,"about_ca_topic_score_gemma":0.001495204,"teacher_disagreement_score":0.0130668795,"about_ca_system_score_codex":0.0010856672,"about_ca_system_score_gemma":0.00065185595,"threshold_uncertainty_score":0.06910503},"labels":[],"label_agreement":null},{"id":"W2150540841","doi":"10.1111/j.1540-6261.2011.01656.x","title":"Intermediated Investment Management","year":2011,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"","keywords":"Business; Sophistication; Portfolio; Intermediary; Investment management; Financial intermediary; Finance; Management fee; Monetary economics; Economics; Institutional investor; Open-end fund; Corporate governance","score_opus":0.0459168055398109,"score_gpt":0.20078649842547489,"score_spread":0.154869692885664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150540841","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42262128,0.0031074954,0.09966556,0.004030305,0.0005282815,0.00045926656,0.0008934552,0.0010570744,0.46763736],"genre_scores_gemma":[0.9366075,0.00028343708,0.009829284,0.00011366644,0.00007425797,0.000048223632,0.00034875996,0.000021072026,0.052673843],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929523,0.00012322901,0.00005180345,0.00011033563,0.00022660398,0.0001928342],"domain_scores_gemma":[0.99860317,0.00015343171,0.00027205955,0.00023495086,0.00031442117,0.0004220835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095756847,0.00027719935,0.000240829,0.0007915964,0.00056255976,0.0031388584,0.0010270684,0.00044246492,0.025350755],"category_scores_gemma":[0.0024763036,0.00008907872,0.0002461662,0.000565208,0.00047145336,0.0012593475,0.0015131609,0.00070206367,0.0023970148],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047883566,0.0005799136,0.035417587,0.00023083367,0.00006490863,0.00070443575,0.0007353137,0.016731394,0.0041170744,0.36287394,0.029542765,0.5485229],"study_design_scores_gemma":[0.00028321377,0.001405697,0.05825678,0.00049677846,0.000121219855,0.0012049909,0.0016126882,0.15041898,0.012416945,0.36624184,0.4074442,0.00009659228],"about_ca_topic_score_codex":0.0011511495,"about_ca_topic_score_gemma":0.0014239156,"teacher_disagreement_score":0.025350755,"about_ca_system_score_codex":0.0016464179,"about_ca_system_score_gemma":0.0009706893,"threshold_uncertainty_score":0.08480668},"labels":[],"label_agreement":null},{"id":"W2150555025","doi":"10.2139/ssrn.965923","title":"Capital Structure and Security Issuance Under Heterogeneous Beliefs","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Business; Capital structure; Securitization; Finance; Financial system; Debt","score_opus":0.006659712959180026,"score_gpt":0.19410591864587246,"score_spread":0.18744620568669243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150555025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99272424,0.00008337989,0.0041680983,0.00061267195,0.0000067479737,0.000016651506,0.00006167198,0.00001910239,0.0023073857],"genre_scores_gemma":[0.9986021,0.000036035686,0.00027470867,0.000021888685,0.000012094168,0.000004178939,0.000025463582,0.0000029582347,0.0010204894],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99898416,0.00028510127,0.000064530876,0.00017374902,0.00013515016,0.0003572915],"domain_scores_gemma":[0.95214695,0.029149156,0.0125068445,0.002271909,0.0015033912,0.0024217202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047810655,0.00035886146,0.0010689038,0.0007688338,0.00079233147,0.003577461,0.0010671848,0.0021535442,0.006398147],"category_scores_gemma":[0.035078887,0.00054740626,0.0005026909,0.0006607182,0.0024346958,0.004336533,0.0012843271,0.002547926,0.0004102726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005419932,0.0014792554,0.2679588,0.00019713747,0.00051043363,0.0036857203,0.003375466,0.116309546,0.00847438,0.5375042,0.0036020167,0.051483076],"study_design_scores_gemma":[0.0006145292,0.0009495905,0.12997715,0.00005855239,0.00023245142,0.0005462726,0.0017398414,0.32111052,0.004079959,0.53955406,0.0010103197,0.00012667087],"about_ca_topic_score_codex":0.0029447817,"about_ca_topic_score_gemma":0.0024340148,"teacher_disagreement_score":0.006398147,"about_ca_system_score_codex":0.0015362325,"about_ca_system_score_gemma":0.0009409524,"threshold_uncertainty_score":0.025285006},"labels":[],"label_agreement":null},{"id":"W2150707676","doi":"10.2139/ssrn.1874726","title":"Overvalued Equity and Financing Decisions","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Equity (law); Business; Finance; Economics; Political science","score_opus":0.04407460494789002,"score_gpt":0.2576235691775567,"score_spread":0.21354896422966668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150707676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940069,0.00047004156,0.00023774589,0.001409474,0.000010888075,0.0000047298236,0.00006560453,0.0000022433549,0.003792412],"genre_scores_gemma":[0.9989517,0.00017380917,0.00003187422,0.00006818887,0.0000256314,0.0000011070109,0.000033705495,0.0000011896502,0.00071289076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995976,0.00013602512,0.00003041511,0.000050576615,0.000057492278,0.00012795767],"domain_scores_gemma":[0.9752559,0.014235029,0.0071295393,0.00043493288,0.00070108,0.0022436401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030015693,0.00017672828,0.00032598982,0.00079978287,0.0003705579,0.003282192,0.00028657223,0.0015747733,0.0067014857],"category_scores_gemma":[0.021348724,0.00018295232,0.00015220317,0.0005755907,0.001062769,0.0019060321,0.00064591115,0.0015296814,0.00021219146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018101641,0.00094732817,0.8237874,0.00011036639,0.0001715267,0.0021357462,0.0017547775,0.008031383,0.0018410916,0.10629221,0.0029304433,0.050187554],"study_design_scores_gemma":[0.00018195741,0.0006471994,0.6969553,0.00011451597,0.00016987119,0.0016653262,0.003253085,0.014779363,0.001086822,0.27502608,0.0060561006,0.000064361746],"about_ca_topic_score_codex":0.0019983954,"about_ca_topic_score_gemma":0.003156931,"teacher_disagreement_score":0.0067014857,"about_ca_system_score_codex":0.0011624509,"about_ca_system_score_gemma":0.0004448313,"threshold_uncertainty_score":0.022418737},"labels":[],"label_agreement":null},{"id":"W2150875240","doi":"10.5539/ijef.v3n1p124","title":"Intrinsic Bubbles in the American Stock Exchange: The case of the S&amp;P 500 Index","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Raymond and Beverly Sackler Institute for Biological, Physical and Engineering Sciences, Yale University; Yale University","keywords":"Cointegration; Economics; Dividend; Econometrics; Index (typography); Bubble; Series (stratigraphy); Stock price; Stock (firearms); Sample (material); Financial economics; Thermodynamics; Physics; Computer science; Mechanics; Finance; Materials science; Geology","score_opus":0.049492847851330395,"score_gpt":0.23946176261390165,"score_spread":0.18996891476257124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150875240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99761117,0.00015017619,0.00095301896,0.00018871807,0.000003878922,0.000004446315,0.00006744485,0.000005900379,0.0010151694],"genre_scores_gemma":[0.9994549,0.00006470077,0.00025355644,0.000009021759,0.000012321831,0.0000022190857,0.00007481652,0.0000016201213,0.00012691194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996308,0.00014787918,0.000025226314,0.000058686674,0.00007439102,0.00006296131],"domain_scores_gemma":[0.99165523,0.004691015,0.0023835017,0.00042071688,0.00053606596,0.00031332648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014008605,0.0001487772,0.0002250519,0.00092205196,0.00030758147,0.0010362456,0.00025102805,0.0005797725,0.0011740642],"category_scores_gemma":[0.01190725,0.00017281873,0.00019268718,0.00083439355,0.000716146,0.0014690771,0.00054267823,0.00072198926,0.00007935236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039381805,0.00015690127,0.9363626,0.000060628503,0.00014801035,0.0016118338,0.0011036113,0.011388093,0.0015775438,0.026658507,0.001291231,0.019247103],"study_design_scores_gemma":[0.000052582644,0.00013372052,0.79942286,0.00004045702,0.00012463682,0.0005132704,0.0010412502,0.1752138,0.002089703,0.019712586,0.0015984139,0.000056686156],"about_ca_topic_score_codex":0.012247047,"about_ca_topic_score_gemma":0.012755482,"teacher_disagreement_score":0.012247047,"about_ca_system_score_codex":0.00045496682,"about_ca_system_score_gemma":0.00023132155,"threshold_uncertainty_score":0.024351537},"labels":[],"label_agreement":null},{"id":"W2151161966","doi":"","title":"Should Minimum Portfolio Sizes Be Prescribed for Achieving Sufficiently Well-Diversified Equity Portfolios?","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Portfolio; Diversification (marketing strategy); Equity (law); Capitalization; Application portfolio management; Market capitalization; Portfolio optimization; Econometrics; Financial economics; Post-modern portfolio theory; Business; Economics; Stock exchange; Investment strategy; Actuarial science; Replicating portfolio; Stock market; Project portfolio management; Microeconomics; Finance; Geography; Profit (economics); Marketing","score_opus":0.04407478260373281,"score_gpt":0.2648761217229922,"score_spread":0.22080133911925937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151161966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80929387,0.0012381768,0.16905028,0.0021889317,0.00009512594,0.00018565755,0.00036724613,0.00019820314,0.01738255],"genre_scores_gemma":[0.9702739,0.00023201104,0.028761877,0.0001198807,0.00004029287,0.0000941203,0.00012448987,0.00002471091,0.00032877305],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99799746,0.0005887421,0.00023091855,0.00024238443,0.0007150832,0.0002253586],"domain_scores_gemma":[0.97779036,0.011744297,0.0060274214,0.0012754935,0.0019559683,0.0012064371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054810806,0.0004942924,0.00050101854,0.0011230144,0.00033743918,0.0013330112,0.00049640064,0.00077308354,0.0011426945],"category_scores_gemma":[0.041999258,0.00020500728,0.00024311809,0.0005961779,0.000839434,0.0031535432,0.00088759814,0.00072833913,0.0002688535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014395968,0.0005103796,0.14048809,0.0005972442,0.00029791353,0.00068759336,0.0006397045,0.21503311,0.043260723,0.1999723,0.0048943697,0.39217895],"study_design_scores_gemma":[0.00051029853,0.004345524,0.18631238,0.000574252,0.00014567631,0.0022456518,0.0016692788,0.22087562,0.068957925,0.49601713,0.018111499,0.0002346922],"about_ca_topic_score_codex":0.00034799214,"about_ca_topic_score_gemma":0.00042395934,"teacher_disagreement_score":0.0054810806,"about_ca_system_score_codex":0.0006465698,"about_ca_system_score_gemma":0.0009804659,"threshold_uncertainty_score":0.02898705},"labels":[],"label_agreement":null},{"id":"W2151263092","doi":"10.1111/j.1540-6288.2010.00259.x","title":"Preferenced Trading, Quote Competition, and Market Quality: Evidence from Decimalization on the NYSE","year":2010,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Competition (biology); Business; Financial economics; Information asymmetry; Economics; Finance; Biology","score_opus":0.0892654427773605,"score_gpt":0.27932789318063334,"score_spread":0.19006245040327285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151263092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944108,0.0031539528,0.00009337455,0.00020005171,0.0000061071673,0.000005410743,0.00029762313,0.0000029111657,0.0018297705],"genre_scores_gemma":[0.9979569,0.0014028373,0.000055629047,0.000034133045,0.000023946575,0.0000024666567,0.00027489688,0.0000010912629,0.00024819712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935275,0.00020476169,0.00007775562,0.00006389698,0.00025474912,0.000046115885],"domain_scores_gemma":[0.9752442,0.006932797,0.014011088,0.0008345488,0.0021024758,0.00087485986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017771154,0.00015777635,0.00034897617,0.0010897934,0.00017521717,0.00097475585,0.00017213917,0.00026984524,0.0023956934],"category_scores_gemma":[0.012610465,0.000107218206,0.00023985808,0.0019984096,0.00034843697,0.00053030025,0.00046241246,0.00042639035,0.0002566291],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061217655,0.000128851,0.9761535,0.0001282772,0.00022652454,0.00014743707,0.00011733472,0.00065190805,0.0011586365,0.00056516676,0.00058532535,0.019524995],"study_design_scores_gemma":[0.0000132203495,0.000102595135,0.99820685,0.000015769674,0.000039517563,0.0000666769,0.0000683081,0.0003164978,0.00025945395,0.00027046126,0.000634885,0.0000057315924],"about_ca_topic_score_codex":0.00348125,"about_ca_topic_score_gemma":0.003683894,"teacher_disagreement_score":0.00348125,"about_ca_system_score_codex":0.00026274234,"about_ca_system_score_gemma":0.0001994874,"threshold_uncertainty_score":0.009398401},"labels":[],"label_agreement":null},{"id":"W2151283462","doi":"10.2139/ssrn.1757970","title":"Speed of Convergence to Market Efficiency: The Role of ECNs","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Convergence (economics); Economics; Economic growth","score_opus":0.016024823437392897,"score_gpt":0.19068323874912763,"score_spread":0.17465841531173473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151283462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8471422,0.0029322663,0.06874355,0.0036291904,0.0002663746,0.00006807912,0.0003016706,0.00034456878,0.076572075],"genre_scores_gemma":[0.9935446,0.00038738723,0.0034947323,0.00008559049,0.00007919443,0.000014804861,0.000047579215,0.00007235576,0.0022738369],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99863166,0.0005618371,0.000099511104,0.00030210146,0.00022272377,0.00018214906],"domain_scores_gemma":[0.93856114,0.04428681,0.0059375423,0.004459863,0.0043633487,0.002391374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006049672,0.00037018908,0.0009849919,0.0019425794,0.00065630686,0.005626577,0.001103847,0.0014668124,0.014471432],"category_scores_gemma":[0.09369541,0.0004293116,0.0004533352,0.0012965365,0.0021267384,0.007952528,0.0020007838,0.0026158243,0.00074235897],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011536649,0.0002709316,0.062392,0.00026766284,0.00026656553,0.00040755756,0.001063575,0.11542586,0.0029204027,0.71457446,0.0061755655,0.09508179],"study_design_scores_gemma":[0.00017437525,0.00030982093,0.06221343,0.00024014954,0.0001858984,0.00064255093,0.0013672515,0.3516006,0.0037409158,0.57121694,0.008196647,0.000111452],"about_ca_topic_score_codex":0.0019520518,"about_ca_topic_score_gemma":0.0008756767,"teacher_disagreement_score":0.014471432,"about_ca_system_score_codex":0.0013498052,"about_ca_system_score_gemma":0.0011070189,"threshold_uncertainty_score":0.048411787},"labels":[],"label_agreement":null},{"id":"W2151469525","doi":"10.1093/rfs/hhp014","title":"Price Drift as an Outcome of Differences in Higher-Order Beliefs","year":2009,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Order (exchange); Outcome (game theory); Contrast (vision); Economics; Asset (computer security); Capital asset pricing model; Rational expectations; Financial economics; Financial market; Microeconomics; Econometrics; Positive economics; Finance; Computer science","score_opus":0.10467475953886893,"score_gpt":0.3092777560235323,"score_spread":0.20460299648466337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151469525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85030764,0.0010367305,0.12538554,0.0025449183,0.00016061263,0.00006789387,0.00019780727,0.00010071184,0.020197982],"genre_scores_gemma":[0.9942075,0.00029731408,0.0038041743,0.0001291,0.000073740455,0.00001697945,0.00003586448,0.000008914936,0.0014265142],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99895006,0.0002900703,0.000072099756,0.00019265823,0.00032302298,0.00017215328],"domain_scores_gemma":[0.9910289,0.0047617443,0.0023311377,0.0007929844,0.0007242287,0.00036105074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029672806,0.00030178713,0.0005624681,0.00055403245,0.0003805279,0.002097557,0.00063799066,0.0015268712,0.0036544567],"category_scores_gemma":[0.017082475,0.0003157396,0.0007105326,0.0005136428,0.0013591542,0.003900158,0.00094707886,0.0018787197,0.00032075786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045050975,0.00028286173,0.02791359,0.00025683577,0.00026121567,0.0023449021,0.0017481685,0.045678355,0.018486792,0.86512333,0.002233579,0.035219822],"study_design_scores_gemma":[0.00011545874,0.00023002348,0.025433347,0.00003933617,0.000088067885,0.00075729843,0.0004012708,0.11556161,0.0027505027,0.85267377,0.001853519,0.00009573546],"about_ca_topic_score_codex":0.00068064645,"about_ca_topic_score_gemma":0.0003526016,"teacher_disagreement_score":0.0036544567,"about_ca_system_score_codex":0.0010458272,"about_ca_system_score_gemma":0.00033699858,"threshold_uncertainty_score":0.015692651},"labels":[],"label_agreement":null},{"id":"W2151755777","doi":"10.19030/iber.v7i5.3254","title":"Portfolios Effective Time Formation/Holding Period Based On Momentum Investment Strategy","year":2011,"lang":"en","type":"article","venue":"International Business & Economics Research Journal (IBER)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Momentum (technical analysis); Portfolio; Investment (military); Investment strategy; Period (music); Investment portfolio; Economics; Monetary economics; Business; Financial economics; Physics","score_opus":0.08494850967335536,"score_gpt":0.2844078153905289,"score_spread":0.19945930571717352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151755777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97768104,0.00031816008,0.008224074,0.00016535106,0.0000125524075,0.00007906093,0.00024970956,0.000047303623,0.013222706],"genre_scores_gemma":[0.9974298,0.00009767151,0.0011912525,0.000010663281,0.000008000066,0.000008169243,0.00014176982,0.0000038904927,0.0011087974],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904186,0.00015932016,0.0000719182,0.00012312327,0.0004065282,0.00019727786],"domain_scores_gemma":[0.9906906,0.002891232,0.004043281,0.0005349532,0.0010054401,0.00083460065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025434776,0.00031693027,0.00029639818,0.00115929,0.00036236458,0.0022220407,0.00046054684,0.00032710057,0.0034657381],"category_scores_gemma":[0.013565781,0.00015131757,0.00032703293,0.0009208662,0.00045078134,0.0013312686,0.00063738925,0.00039401557,0.0003194453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076308876,0.0002699919,0.81028104,0.00009920235,0.00026077876,0.00038085328,0.00043401972,0.047295574,0.00844095,0.014750979,0.0008057714,0.11621771],"study_design_scores_gemma":[0.000042347718,0.0006334327,0.88843447,0.00003160254,0.00020573965,0.0002423466,0.00047965298,0.095970035,0.0057786996,0.0049181567,0.0032096906,0.00005383269],"about_ca_topic_score_codex":0.021188272,"about_ca_topic_score_gemma":0.023660367,"teacher_disagreement_score":0.021188272,"about_ca_system_score_codex":0.002019922,"about_ca_system_score_gemma":0.0017672477,"threshold_uncertainty_score":0.042129874},"labels":[],"label_agreement":null},{"id":"W2151921280","doi":"10.1017/s0022109000002349","title":"Multifactor Evaluation of Style Rotation","year":2005,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sharpe ratio; Rotation (mathematics); Style (visual arts); Equity (law); Econometrics; Attribution; Economics; Logistic regression; Computer science; Psychology; Artificial intelligence; Financial economics; Machine learning; Social psychology; Portfolio; Geography; Political science","score_opus":0.0706652242607427,"score_gpt":0.29796125743848534,"score_spread":0.22729603317774263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151921280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5152515,0.0008558695,0.46888855,0.00036423572,0.00025637107,0.00029168357,0.0006547133,0.0010635573,0.012373489],"genre_scores_gemma":[0.9410162,0.00017464437,0.05687756,0.000044689412,0.00006823627,0.000065305096,0.00033820423,0.00011684772,0.0012983637],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954347,0.0022476309,0.00020629955,0.0004132727,0.0014804594,0.00021758239],"domain_scores_gemma":[0.97663295,0.012095022,0.0027089056,0.003076026,0.004783924,0.0007031494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010866751,0.0010057861,0.0006623341,0.0030254493,0.00030807478,0.0015049215,0.0006067236,0.0005548661,0.0063215853],"category_scores_gemma":[0.05468201,0.00019896199,0.0008648435,0.0029599555,0.00055756856,0.0016646668,0.0012148311,0.0007898739,0.00075082073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024422046,0.00046086003,0.090932325,0.00023688453,0.00039108135,0.00018108932,0.00038171897,0.09880984,0.012134428,0.024113024,0.0026420343,0.7672744],"study_design_scores_gemma":[0.000120510485,0.0015479844,0.13772996,0.000103837694,0.00025533707,0.00015748874,0.00026578622,0.81158,0.011962461,0.032596733,0.0034795324,0.0002003661],"about_ca_topic_score_codex":0.0016529709,"about_ca_topic_score_gemma":0.0010926027,"teacher_disagreement_score":0.010866751,"about_ca_system_score_codex":0.00092390215,"about_ca_system_score_gemma":0.00061331404,"threshold_uncertainty_score":0.057469547},"labels":[],"label_agreement":null},{"id":"W2152714724","doi":"10.1111/j.1475-6803.2000.tb00736.x","title":"THE INFORMATION CONTENT OF ORDERS ON THE SAUDI STOCK MARKET","year":2000,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Econometrics; Autoregressive model; Stock market; Stock (firearms); Order (exchange); Measure (data warehouse); Private information retrieval; Content (measure theory); Information asymmetry; Computer science; Economics; Business; Financial economics; Mathematics; Statistics; Data mining; Microeconomics; Finance; Geography","score_opus":0.12143804155546084,"score_gpt":0.289482365150123,"score_spread":0.16804432359466215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152714724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99793684,0.0000878624,0.000646592,0.000078799916,0.000004648767,0.0000048658717,0.00036065126,0.000012928449,0.00086680206],"genre_scores_gemma":[0.9992893,0.000045467845,0.00015411513,0.000007168478,0.000013180901,0.0000015018296,0.00032143426,0.0000024320696,0.00016530482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988335,0.00026973334,0.00012326348,0.00011108667,0.0005589164,0.00010359227],"domain_scores_gemma":[0.95446265,0.027275825,0.011113279,0.002198878,0.0042093867,0.0007399528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020902576,0.00028450193,0.00046841288,0.002982975,0.00021475337,0.0016165014,0.00031243943,0.0005193672,0.0016605092],"category_scores_gemma":[0.02607721,0.00020267848,0.00024501787,0.0019327049,0.00046547342,0.0015469157,0.00048795497,0.000662151,0.00036776936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017838704,0.00045610475,0.85102737,0.00018949754,0.00049512816,0.0008063432,0.0011364205,0.062099304,0.018359851,0.010019751,0.001927044,0.051699292],"study_design_scores_gemma":[0.00005249127,0.00031201605,0.8070003,0.000049749517,0.00014891538,0.0003652937,0.00051510934,0.17237452,0.009093839,0.008632117,0.0013489472,0.00010686407],"about_ca_topic_score_codex":0.004923912,"about_ca_topic_score_gemma":0.00353987,"teacher_disagreement_score":0.004923912,"about_ca_system_score_codex":0.0009080526,"about_ca_system_score_gemma":0.00036671103,"threshold_uncertainty_score":0.011054456},"labels":[],"label_agreement":null},{"id":"W2152880432","doi":"10.2139/ssrn.217268","title":"Informed Trading, Short Sales Constraints, and Futures' Pricing","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Futures contract; Financial economics; Business; Economics; Finance; Commerce","score_opus":0.013899027440596168,"score_gpt":0.21070782403901284,"score_spread":0.19680879659841666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152880432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8680309,0.003705622,0.088344805,0.0069124047,0.00018586424,0.000045443336,0.000603969,0.00012147138,0.03204956],"genre_scores_gemma":[0.9955882,0.000562684,0.0013101499,0.000075484786,0.00007656527,0.0000073436763,0.00008889481,0.000011585023,0.0022791203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993942,0.00020626701,0.000055449076,0.000113695154,0.000106987354,0.0001234361],"domain_scores_gemma":[0.9827634,0.012542647,0.003057138,0.000555051,0.00036554254,0.0007162749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024737183,0.00060932443,0.0012817584,0.00055533886,0.00048448873,0.004690721,0.0011192322,0.002826802,0.01044146],"category_scores_gemma":[0.025735607,0.0006623606,0.0005655449,0.0008353549,0.0015945847,0.006848288,0.00094767596,0.0027357761,0.00033365106],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011090505,0.00027277225,0.013175335,0.00022323923,0.00019194705,0.0015738533,0.0004182749,0.30709174,0.0017398994,0.628033,0.004353048,0.04181785],"study_design_scores_gemma":[0.00006473653,0.00007223597,0.0038357468,0.000020859805,0.000028208837,0.00014799599,0.00010189986,0.20466088,0.00028680143,0.789742,0.000997085,0.000041526393],"about_ca_topic_score_codex":0.0029419735,"about_ca_topic_score_gemma":0.0026640338,"teacher_disagreement_score":0.01044146,"about_ca_system_score_codex":0.0010277741,"about_ca_system_score_gemma":0.00097442203,"threshold_uncertainty_score":0.03493011},"labels":[],"label_agreement":null},{"id":"W2152890881","doi":"10.2139/ssrn.965807","title":"Commonality in Liquidity: A Global Perspective","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Perspective (graphical); Market liquidity; Business; Computer science; Finance; Artificial intelligence","score_opus":0.01750607819742111,"score_gpt":0.23168150358065118,"score_spread":0.21417542538323006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152890881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6809625,0.026231237,0.07904136,0.03241432,0.0002488097,0.0000525061,0.0008332591,0.00019291292,0.18002309],"genre_scores_gemma":[0.99365896,0.0030186991,0.0014344448,0.00026387593,0.00040704315,0.000012862107,0.0000715069,0.000021779004,0.001110946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987179,0.00038501155,0.0000690879,0.00035794,0.00022585575,0.00024429377],"domain_scores_gemma":[0.9897938,0.005401256,0.0019916364,0.0013424712,0.000826571,0.0006444203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002682502,0.0004003568,0.0013398724,0.0053917663,0.0013399924,0.007723966,0.0011764191,0.0019579662,0.006177818],"category_scores_gemma":[0.008354909,0.0002909825,0.0009663515,0.005949949,0.008885126,0.017784838,0.005450696,0.0021425385,0.00027776312],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013343527,0.000031497166,0.012972359,0.00011251678,0.00013988899,0.0003180731,0.0010530759,0.0027767909,0.00052378356,0.953029,0.0014965041,0.027413053],"study_design_scores_gemma":[0.000019519359,0.000052054795,0.016044253,0.000091541384,0.00007049599,0.00038090296,0.0014742967,0.0032000742,0.00028213137,0.971105,0.0072487225,0.000030905456],"about_ca_topic_score_codex":0.0015467781,"about_ca_topic_score_gemma":0.0012775912,"teacher_disagreement_score":0.007723966,"about_ca_system_score_codex":0.0012530742,"about_ca_system_score_gemma":0.00068220374,"threshold_uncertainty_score":0.020666838},"labels":[],"label_agreement":null},{"id":"W2153141625","doi":"10.5267/j.msl.2014.9.017","title":"A study on effective factors influencing on equity risk in banking industry","year":2014,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Banking industry; Business; Equity (law); Financial system; Finance; Political science","score_opus":0.03329983335501054,"score_gpt":0.25505700054686553,"score_spread":0.22175716719185498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153141625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99559253,0.0006323209,0.0003219204,0.00028982246,0.0000061354654,0.000018256269,0.000044663095,0.0000025939312,0.003091733],"genre_scores_gemma":[0.9989453,0.0003608071,0.00015181076,0.000029657847,0.000014797372,0.0000034255122,0.00003308348,8.24428e-7,0.00046025572],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925023,0.00025869306,0.000059506103,0.00009590815,0.00020151361,0.000134029],"domain_scores_gemma":[0.9932991,0.0030477804,0.0021762566,0.00017591765,0.0007505962,0.0005503279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009518621,0.0002441476,0.00018091351,0.0010756202,0.00039547903,0.0011587644,0.00017259821,0.00043589916,0.0032025762],"category_scores_gemma":[0.0051439824,0.00011962835,0.0003952608,0.000807571,0.0003666453,0.00068700995,0.0003057066,0.00043594878,0.00028423136],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050906743,0.00019594478,0.9831324,0.000042839292,0.000053393178,0.00021959093,0.0006158745,0.00023926423,0.00050075445,0.0004728418,0.00015251145,0.0143236015],"study_design_scores_gemma":[0.000002650789,0.000120179706,0.99735355,0.000023218536,0.000041204476,0.000096132666,0.000928088,0.00049480895,0.00021777344,0.00023907633,0.00047816517,0.0000050882604],"about_ca_topic_score_codex":0.0034083044,"about_ca_topic_score_gemma":0.0046346188,"teacher_disagreement_score":0.0034083044,"about_ca_system_score_codex":0.00045741032,"about_ca_system_score_gemma":0.0010081097,"threshold_uncertainty_score":0.0107136965},"labels":[],"label_agreement":null},{"id":"W2153359400","doi":"10.22004/ag.econ.273598","title":"Covariance-based orthogonality tests for regressors with unknown persistence","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Guelph","funders":"","keywords":"Mathematics; Econometrics; Statistics; Predictability; Test statistic; Unit root test; Covariance; Statistical hypothesis testing; Cointegration","score_opus":0.12152040862373983,"score_gpt":0.2549306028861444,"score_spread":0.13341019426240455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153359400","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15250738,0.00029365142,0.84275746,0.0003822774,0.00009766315,0.00011874553,0.00034562126,0.00041111564,0.0030861332],"genre_scores_gemma":[0.9053677,0.00030070177,0.09101106,0.00017257544,0.00029505335,0.00031588197,0.0010334018,0.00016491087,0.0013386941],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9824405,0.008799566,0.001466974,0.0023543355,0.0042291842,0.0007094561],"domain_scores_gemma":[0.75673187,0.213075,0.012922022,0.010079721,0.0059978752,0.0011935813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017958833,0.0009024045,0.0014964802,0.003290434,0.000676751,0.002033427,0.0016252417,0.0011335873,0.0033476176],"category_scores_gemma":[0.17251383,0.0005110199,0.0015679387,0.002488773,0.0025811153,0.004272535,0.0028443418,0.002922024,0.00071264186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008787796,0.00066889584,0.22606453,0.00038983396,0.0020342122,0.0009923262,0.00072232867,0.06896669,0.00798342,0.2888365,0.0028294865,0.39963302],"study_design_scores_gemma":[0.00029965115,0.00085669156,0.05975511,0.00014637338,0.00033076364,0.0007153627,0.00040980006,0.6079894,0.007960127,0.31680375,0.004514738,0.00021824364],"about_ca_topic_score_codex":0.0010164992,"about_ca_topic_score_gemma":0.00066721754,"teacher_disagreement_score":0.017958833,"about_ca_system_score_codex":0.00060271565,"about_ca_system_score_gemma":0.0019862442,"threshold_uncertainty_score":0.094976544},"labels":[],"label_agreement":null},{"id":"W2153812973","doi":"10.2139/ssrn.2141275","title":"Wage Rigidity: A Solution to Several Asset Pricing Puzzles","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Rigidity (electromagnetism); Wage; Economics; Capital asset pricing model; Financial economics; Labour economics; Econometrics; Business; Engineering; Structural engineering","score_opus":0.023003692768926057,"score_gpt":0.223123648656147,"score_spread":0.20011995588722095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153812973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6487704,0.002929655,0.17327751,0.055609994,0.00081286265,0.000097160584,0.0011049112,0.00086412416,0.116533294],"genre_scores_gemma":[0.979221,0.00053022726,0.007559389,0.0005821039,0.0004807143,0.000021389564,0.00013542881,0.00008832225,0.011381411],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995284,0.0001348903,0.000032966036,0.00010564413,0.00010085345,0.000097284224],"domain_scores_gemma":[0.9958138,0.0019026898,0.0009693862,0.0007255522,0.00022786054,0.000360769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013577738,0.00045848265,0.0011384051,0.0010743856,0.0011560197,0.0039775353,0.0022866323,0.004410448,0.01962734],"category_scores_gemma":[0.01894721,0.0005479478,0.0008544877,0.0011976503,0.002381444,0.0041895662,0.0018763301,0.0042375694,0.0013607176],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030661217,0.00015282897,0.005329224,0.00011024919,0.000061085106,0.00063760806,0.00078829954,0.015892768,0.0013930167,0.9112843,0.013527281,0.050516743],"study_design_scores_gemma":[0.00011202679,0.000028324943,0.00434235,0.000024579162,0.000029561057,0.00033362483,0.00035018125,0.045193225,0.00021051649,0.94559866,0.00374089,0.0000361373],"about_ca_topic_score_codex":0.0017899786,"about_ca_topic_score_gemma":0.0013937186,"teacher_disagreement_score":0.01962734,"about_ca_system_score_codex":0.0005921326,"about_ca_system_score_gemma":0.00082825316,"threshold_uncertainty_score":0.06565994},"labels":[],"label_agreement":null},{"id":"W2154462782","doi":"10.2139/ssrn.1344620","title":"Value Versus Growth in Dynamic Equity Investing","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Equity (law); Economics; Financial economics; Value (mathematics); Econometrics; Mathematics; Statistics; Political science","score_opus":0.052023301342592206,"score_gpt":0.24417383593460248,"score_spread":0.19215053459201029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154462782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96256834,0.0013866897,0.011000739,0.0023734397,0.00006115842,0.000011371906,0.00009004747,0.000037042915,0.022471115],"genre_scores_gemma":[0.99736327,0.00022141272,0.00024653377,0.000025765246,0.000031137355,0.0000024631026,0.000024981513,0.0000068879767,0.0020774435],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997162,0.000091700866,0.000014475503,0.000045584587,0.000042882995,0.00008918717],"domain_scores_gemma":[0.994038,0.0036609068,0.00083464966,0.0001970817,0.0004759883,0.0007932998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015282597,0.0003740801,0.00046070208,0.0007590866,0.00038613647,0.002974351,0.00065600075,0.0013623617,0.0042703203],"category_scores_gemma":[0.012019173,0.00019542,0.0002754587,0.0005868554,0.0019284383,0.0055386224,0.0011182309,0.001352633,0.00034264766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007819238,0.00023019452,0.049087282,0.000119747456,0.0000426114,0.001030784,0.0008625412,0.07274383,0.0026830975,0.81751704,0.0030138507,0.05188699],"study_design_scores_gemma":[0.000047074594,0.00020212623,0.016964907,0.000064620006,0.000036213947,0.0002891066,0.0014459494,0.14085574,0.0012408182,0.8364533,0.002368902,0.00003121248],"about_ca_topic_score_codex":0.0011238235,"about_ca_topic_score_gemma":0.001014687,"teacher_disagreement_score":0.0042703203,"about_ca_system_score_codex":0.0011628757,"about_ca_system_score_gemma":0.000363173,"threshold_uncertainty_score":0.014285624},"labels":[],"label_agreement":null},{"id":"W2154463077","doi":"","title":"Trading Activity and Foreign Exchange Market Quality","year":2005,"lang":"en","type":"preprint","venue":"Institutional Repositories DataBase (IRDB)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Currency; Volatility (finance); Foreign exchange market; Algorithmic trading; Business; Quality (philosophy); Monetary economics; Economics; Alternative trading system; Financial economics; Finance","score_opus":0.06649856171369425,"score_gpt":0.2721763573006026,"score_spread":0.20567779558690832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154463077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99745697,0.00027104662,0.00050024985,0.00009211876,0.000004466587,0.0000065695986,0.00042602944,0.000014814112,0.0012276846],"genre_scores_gemma":[0.99919003,0.000054226453,0.00010845337,0.000006857151,0.000012602564,0.0000011984436,0.00045222166,0.0000041164903,0.0001703106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989512,0.00030084403,0.00017209438,0.00014140015,0.0002800129,0.00015443693],"domain_scores_gemma":[0.96080863,0.014422976,0.018067507,0.0020136049,0.0024705816,0.0022167468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019203667,0.00020826698,0.00042682263,0.0021103465,0.00030840831,0.002498392,0.00030958434,0.00045180475,0.0027040886],"category_scores_gemma":[0.022668434,0.00013479957,0.00039279836,0.0030999796,0.0004839976,0.002053462,0.0009556131,0.00059354777,0.00030828515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022003478,0.00005973228,0.9911204,0.00001702248,0.00016415313,0.00005866394,0.00017061771,0.0010399796,0.00033071227,0.00046853092,0.00017553581,0.006174631],"study_design_scores_gemma":[0.000011314593,0.000084390405,0.9949759,0.000007477834,0.00003588953,0.00014769085,0.00025232026,0.0031785052,0.0003309644,0.00060019654,0.00036343504,0.000011970942],"about_ca_topic_score_codex":0.003256536,"about_ca_topic_score_gemma":0.003061862,"teacher_disagreement_score":0.003256536,"about_ca_system_score_codex":0.00047109218,"about_ca_system_score_gemma":0.00015368471,"threshold_uncertainty_score":0.010156035},"labels":[],"label_agreement":null},{"id":"W2154477245","doi":"10.2139/ssrn.946110","title":"Price Improvement and Order Execution Quality on the Boston Options Exchange","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université du Québec à Montréal","funders":"","keywords":"Download; Order (exchange); Computer science; Quality (philosophy); World Wide Web; Business; Finance","score_opus":0.02015532691420712,"score_gpt":0.2238268095930701,"score_spread":0.20367148267886298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154477245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99804735,0.00007900716,0.00011746732,0.00021551548,0.000008069488,0.000004306388,0.00009018557,0.000011845158,0.0014262465],"genre_scores_gemma":[0.997654,0.00003279197,0.00007658862,0.000014339434,0.0000167075,0.0000016665464,0.0002967152,0.000010234375,0.0018970459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990939,0.0003090566,0.000056666107,0.00007681108,0.00027787907,0.0001856795],"domain_scores_gemma":[0.9743509,0.015289882,0.003953528,0.001292942,0.0028874772,0.0022251932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032510958,0.00029765637,0.0005694841,0.001256201,0.00073741097,0.0019389255,0.00081893336,0.0010759522,0.009813231],"category_scores_gemma":[0.022608034,0.00020178859,0.00028739995,0.001273007,0.00062924536,0.0015881252,0.0007463636,0.0014163353,0.00073045393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019683778,0.0032421139,0.71626955,0.00014189359,0.0003828594,0.0021447258,0.0032422652,0.12816803,0.010981106,0.025445968,0.014007908,0.076289855],"study_design_scores_gemma":[0.00045570257,0.0010944745,0.8404014,0.000025737047,0.0001567452,0.00017860554,0.00198887,0.13530584,0.0033550155,0.014098381,0.0028267829,0.00011246648],"about_ca_topic_score_codex":0.019588174,"about_ca_topic_score_gemma":0.03472544,"teacher_disagreement_score":0.019588174,"about_ca_system_score_codex":0.0019884403,"about_ca_system_score_gemma":0.00051761843,"threshold_uncertainty_score":0.038948298},"labels":[],"label_agreement":null},{"id":"W2154771189","doi":"10.1177/0148558x14537827","title":"Is There a “Torpedo Effect” in Earnings Announcement Returns? The Role of Short-Sales Constraints and Investor Disagreement","year":2014,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Earnings; Economics; Value (mathematics); Monetary economics; Financial economics; Econometrics; Finance; Mathematics","score_opus":0.014050399371276797,"score_gpt":0.21293817807417784,"score_spread":0.19888777870290103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154771189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830929,0.0003893203,0.0037880861,0.0011993987,0.000044946297,0.000039848244,0.00013450926,0.000039291222,0.011271525],"genre_scores_gemma":[0.9991117,0.00009078138,0.00024641282,0.0001640207,0.000038514405,0.000007419496,0.000031779702,0.000008054201,0.00030132482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980451,0.0006138877,0.00016081696,0.0004146367,0.00042054857,0.0003449067],"domain_scores_gemma":[0.9267933,0.045761477,0.01858358,0.0049435943,0.0011797335,0.0027382919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052602957,0.00032764365,0.0010743713,0.0007596731,0.00046036253,0.0022213326,0.0006848873,0.001229991,0.007846663],"category_scores_gemma":[0.038390953,0.0005101901,0.00077832065,0.00068176957,0.0024290436,0.0029026957,0.0018891161,0.0020359764,0.0005514228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053062784,0.0010709699,0.8384567,0.00044609467,0.0011703413,0.0018459138,0.0017479076,0.01228659,0.02008748,0.045452062,0.0027130146,0.0694168],"study_design_scores_gemma":[0.0004985731,0.00074597425,0.9050559,0.0000643914,0.00050380325,0.000528573,0.0012411384,0.021689544,0.0045728087,0.0629828,0.0019813618,0.00013522354],"about_ca_topic_score_codex":0.001406039,"about_ca_topic_score_gemma":0.0013629386,"teacher_disagreement_score":0.007846663,"about_ca_system_score_codex":0.00058789784,"about_ca_system_score_gemma":0.00063863274,"threshold_uncertainty_score":0.027819395},"labels":[],"label_agreement":null},{"id":"W2155084140","doi":"10.1142/s2010139216400024","title":"Derivatives, Short Selling and US Equity and Bond Mutual Funds","year":2015,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Concordia University","keywords":"Bond; Equity (law); Business; Mutual fund; Fund of funds; Closed-end fund; Open-end fund; Global assets under management; Net asset value; Corporate bond; Finance; Bond market; Derivative (finance); Private equity fund; Monetary economics; Economics; Institutional investor; Private equity","score_opus":0.06382075323129456,"score_gpt":0.2589441777651906,"score_spread":0.19512342453389603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155084140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99829286,0.00043674902,0.000045924327,0.000036218295,0.0000018079019,0.000002828246,0.0007252618,0.000004195748,0.00045422552],"genre_scores_gemma":[0.9980716,0.00029286058,0.00007364021,0.000008658152,0.000013435329,0.0000034917405,0.0011971523,0.0000020393709,0.0003370181],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992866,0.00016468111,0.00013441355,0.0001031918,0.0002232089,0.00008789679],"domain_scores_gemma":[0.9808131,0.0053008064,0.012061433,0.00050221756,0.00047405544,0.00084849383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000994485,0.00020065163,0.0002864406,0.0024733183,0.00017262618,0.0008461439,0.00026915895,0.00038750755,0.001773455],"category_scores_gemma":[0.009944467,0.0000969141,0.00032276774,0.0029271075,0.00034285075,0.00085874676,0.0005424688,0.0003427147,0.00024005737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001593713,0.000029178222,0.9937078,0.000016768656,0.000059781047,0.000079748934,0.00006929692,0.00023585219,0.00010799315,0.0001402193,0.00018088866,0.0052131144],"study_design_scores_gemma":[0.000004957163,0.000085320324,0.9976215,0.000011609324,0.000047034762,0.00038164653,0.00014162624,0.0006188544,0.00025536714,0.00014664377,0.00067945785,0.000006084467],"about_ca_topic_score_codex":0.004596865,"about_ca_topic_score_gemma":0.005814858,"teacher_disagreement_score":0.004596865,"about_ca_system_score_codex":0.00039213782,"about_ca_system_score_gemma":0.0002573485,"threshold_uncertainty_score":0.009140193},"labels":[],"label_agreement":null},{"id":"W2155285936","doi":"10.2139/ssrn.1297188","title":"Hedge Funds and Financial Stability: Regulating Prime Brokers Will Mitigate Systemic Risks","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Hedge fund; Financial stability; Business; Systemic risk; Prime (order theory); Alternative beta; Finance; Financial system; Institutional investor; Global assets under management; Economics; Financial crisis; Corporate governance","score_opus":0.02379102296888849,"score_gpt":0.21944766526904425,"score_spread":0.19565664230015575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155285936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82265276,0.00281751,0.03403587,0.040733185,0.0005704269,0.00010900288,0.000114098606,0.0003961202,0.09857102],"genre_scores_gemma":[0.99665844,0.00014031804,0.00055947434,0.0006240287,0.00013219741,0.0000074913073,0.0000042113898,0.0000051037973,0.0018687905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99927765,0.00022060942,0.000030119114,0.00013722661,0.00015266222,0.00018161394],"domain_scores_gemma":[0.99475056,0.002045153,0.0018451061,0.00041002064,0.00048299844,0.00046611874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004143911,0.00037741064,0.00050856546,0.0004022689,0.0006189272,0.0038045032,0.0005073853,0.004284738,0.0054477295],"category_scores_gemma":[0.014808222,0.000241966,0.00032154474,0.0002493,0.00142445,0.0025232323,0.000984218,0.0016310612,0.0005885684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027884238,0.0005368695,0.03606846,0.0002889082,0.00042968898,0.0010895196,0.0012422376,0.027623288,0.023264168,0.79181784,0.023870401,0.09098018],"study_design_scores_gemma":[0.0013759576,0.0013530566,0.03429537,0.00010941687,0.0006764848,0.0005725357,0.001322638,0.07533007,0.01722108,0.83372736,0.033896253,0.00011980132],"about_ca_topic_score_codex":0.00081222807,"about_ca_topic_score_gemma":0.0007874945,"teacher_disagreement_score":0.0054477295,"about_ca_system_score_codex":0.0008255053,"about_ca_system_score_gemma":0.0014063951,"threshold_uncertainty_score":0.021915317},"labels":[],"label_agreement":null},{"id":"W2155752828","doi":"","title":"ESTIMATING THE NEGATIVE IMPACT OF \"NOISE\" ON THE RETURNS OF CAP-WEIGHTED PORTFOLIOS IN VARIOUS SEGMENTS OF THE EQUITY MARKETS","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Portfolio; Economics; Efficient frontier; Rate of return on a portfolio; Ex-ante; Financial economics; Econometrics; Market portfolio; Equity (law); Portfolio optimization; Capital asset pricing model; Modern portfolio theory","score_opus":0.0227321713609526,"score_gpt":0.25638140656565983,"score_spread":0.23364923520470723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155752828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888038,0.00007803691,0.009822284,0.000060621467,0.0000055348623,0.000018603872,0.00018486906,0.000041215775,0.0009849769],"genre_scores_gemma":[0.9976247,0.000047850754,0.001823534,0.000015122644,0.000007462316,0.000008072158,0.0002453586,0.000005743599,0.0002221661],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854577,0.000444008,0.00011986695,0.0002927598,0.00037442695,0.00022324026],"domain_scores_gemma":[0.9737883,0.016531972,0.005688209,0.0022625206,0.0011237554,0.00060521485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004888817,0.0008810024,0.000446172,0.0009753988,0.00018036838,0.0014405451,0.0006975486,0.000908099,0.00056826085],"category_scores_gemma":[0.03018505,0.000453211,0.0005429931,0.00087101577,0.00061265036,0.0021991,0.00094319094,0.0010440402,0.00015931882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015592601,0.00036632482,0.5512612,0.0000893471,0.0005039785,0.00042103737,0.00014681564,0.39499798,0.0055622063,0.008342932,0.00053094985,0.036217894],"study_design_scores_gemma":[0.00005071794,0.000740761,0.38916275,0.000029821284,0.00016935189,0.00021071923,0.00012664591,0.58917683,0.01138626,0.0081828665,0.0006962716,0.00006702952],"about_ca_topic_score_codex":0.0032361846,"about_ca_topic_score_gemma":0.0018303468,"teacher_disagreement_score":0.004888817,"about_ca_system_score_codex":0.0006990743,"about_ca_system_score_gemma":0.00046331808,"threshold_uncertainty_score":0.025854826},"labels":[],"label_agreement":null},{"id":"W2155791361","doi":"10.7202/007257ar","title":"Stratégies de momentum sectoriel au Canada","year":2004,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Mathematics; Physics; Philosophy","score_opus":0.026818248487122862,"score_gpt":0.19954596414136386,"score_spread":0.172727715654241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155791361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9063248,0.0017765829,0.00274429,0.0015939499,0.000020951074,0.00005748914,0.0010781656,0.00008596086,0.08631788],"genre_scores_gemma":[0.9787381,0.0006467776,0.0008077554,0.00006771514,0.0000043204823,0.000008419688,0.000286636,0.000011068422,0.019429153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992663,0.00004204819,0.000016594997,0.00009285253,0.00029082477,0.0002914812],"domain_scores_gemma":[0.998741,0.00013659932,0.00021053622,0.000055362176,0.0005506255,0.000305922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056588347,0.00031674205,0.00022481984,0.001983603,0.002282865,0.003587449,0.00041316546,0.00042013722,0.0058937864],"category_scores_gemma":[0.0026666145,0.00021443563,0.00023186322,0.0027665603,0.0012414013,0.00089138537,0.00091905525,0.0004990277,0.000375306],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006221584,0.00014811865,0.46846464,0.0001509817,0.00015243253,0.00062438654,0.010368269,0.019310744,0.0060497103,0.13550425,0.012695639,0.34590873],"study_design_scores_gemma":[0.00006406607,0.00016791755,0.79814,0.0001462275,0.000086309534,0.0003069695,0.011545688,0.019375255,0.0049424674,0.015074317,0.15004312,0.00010762117],"about_ca_topic_score_codex":0.9374305,"about_ca_topic_score_gemma":0.9567854,"teacher_disagreement_score":0.0625695,"about_ca_system_score_codex":0.031543203,"about_ca_system_score_gemma":0.029993314,"threshold_uncertainty_score":0.228863},"labels":[],"label_agreement":null},{"id":"W2156234587","doi":"","title":"Higher Return from Investing in the Worst Performing Sector:Evidence from the S&P Ten Sectors","year":2014,"lang":"en","type":"article","venue":"THE JOURNAL OF APPLIED BUSINESS AND ECONOMICS","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Rate of return; Performing arts; Investment (military); Business; Economics; Monetary economics; Finance; Geography; Art; Political science","score_opus":0.04109034237428343,"score_gpt":0.1911502147824991,"score_spread":0.15005987240821567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156234587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99673706,0.00025849885,0.000048939815,0.00018260627,0.0000058322153,0.0000029265593,0.00022055318,0.0000026277653,0.0025409653],"genre_scores_gemma":[0.9989272,0.00022760735,0.000020480462,0.00003459935,0.000010730375,0.0000014683246,0.0002842795,0.000001658828,0.00049208454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986714,0.00029447966,0.00015143385,0.00015806766,0.0003682941,0.00035633025],"domain_scores_gemma":[0.97005963,0.007270359,0.016988574,0.0011643323,0.0018386483,0.0026784956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024475884,0.00036328362,0.00034647138,0.001520628,0.00032337944,0.0015280996,0.00048139313,0.0006482682,0.0032473183],"category_scores_gemma":[0.010824753,0.00012447758,0.0004484857,0.001625083,0.0008918845,0.001081263,0.0013183018,0.00070294406,0.0010245763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006584381,0.00013988632,0.9854106,0.00005370797,0.00015065703,0.00013895294,0.00020371555,0.00027928708,0.0002898725,0.00035324087,0.0005851655,0.011736562],"study_design_scores_gemma":[0.00001726981,0.00046320452,0.99615854,0.000037169513,0.00009611185,0.00015540443,0.0011992117,0.00031839573,0.0005630104,0.0003349598,0.0006486099,0.0000080878535],"about_ca_topic_score_codex":0.004545999,"about_ca_topic_score_gemma":0.005354657,"teacher_disagreement_score":0.004545999,"about_ca_system_score_codex":0.0003413741,"about_ca_system_score_gemma":0.00046045333,"threshold_uncertainty_score":0.0129442215},"labels":[],"label_agreement":null},{"id":"W2156440988","doi":"10.2139/ssrn.1371320","title":"Mr. Madoff's Amazing Returns: An Analysis of the Split-Strike Conversion Strategy","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Economics; Financial economics","score_opus":0.016277736902095514,"score_gpt":0.21816655488714806,"score_spread":0.20188881798505254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156440988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75460774,0.003933156,0.04553813,0.008151192,0.00027942553,0.00006538306,0.00015067063,0.00023031324,0.18704402],"genre_scores_gemma":[0.98413646,0.0005325251,0.0016145698,0.00013057346,0.0000648303,0.000009702762,0.000021940124,0.0000327114,0.013456681],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99983025,0.00003227452,0.0000059661566,0.000020113499,0.000060847484,0.000050512215],"domain_scores_gemma":[0.99945444,0.00026526945,0.00006688143,0.000057359026,0.00006631724,0.000089701636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051323907,0.0002233035,0.00032284067,0.0007579402,0.0005883342,0.0016781715,0.0006707838,0.00068853126,0.009459562],"category_scores_gemma":[0.0048202174,0.00012226013,0.00042484797,0.00071434246,0.0008711643,0.0013536736,0.0006351664,0.0012823377,0.00051282364],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022619928,0.00007986531,0.0062016207,0.00004827009,0.00004004315,0.0013518361,0.00035943248,0.025031092,0.0017537399,0.8989268,0.009656265,0.05632484],"study_design_scores_gemma":[0.00008635859,0.00025123073,0.025575496,0.000088705834,0.00008839068,0.0021512515,0.0010718422,0.2643785,0.0024473844,0.67797226,0.025812427,0.00007625481],"about_ca_topic_score_codex":0.0025853221,"about_ca_topic_score_gemma":0.002077922,"teacher_disagreement_score":0.009459562,"about_ca_system_score_codex":0.00079227594,"about_ca_system_score_gemma":0.00052446336,"threshold_uncertainty_score":0.031645358},"labels":[],"label_agreement":null},{"id":"W2156642063","doi":"10.18533/jefs.v3i03.159","title":"Price impact of informed trades in the U.S. treasury markets","year":2015,"lang":"en","type":"article","venue":"Journal of Economic & Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Market liquidity; Futures contract; Treasury; Economics; Futures market; Market impact; Financial economics; Monetary economics; Market price; Price discovery; Market microstructure; Order (exchange); Microeconomics; Finance","score_opus":0.11209210931765638,"score_gpt":0.3086750281124399,"score_spread":0.1965829187947835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156642063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9686151,0.0025840546,0.003852772,0.00090939034,0.000064682805,0.000018199595,0.0004132465,0.00007883515,0.023463817],"genre_scores_gemma":[0.9981206,0.00041273603,0.00027599387,0.00006620865,0.000044974826,0.0000033294357,0.00011708057,0.000008274752,0.00095068396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990043,0.00020732584,0.00007392246,0.00010537005,0.00044813906,0.00016090857],"domain_scores_gemma":[0.9899002,0.004709268,0.0039095934,0.0004602637,0.00068924006,0.00033134563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017872126,0.00027372665,0.00041200576,0.0007932999,0.00042652164,0.0028989564,0.0003423184,0.0009121034,0.005435237],"category_scores_gemma":[0.014317906,0.00025503826,0.0006466992,0.001159164,0.00070327445,0.0028520597,0.0008091061,0.0014392054,0.0004885028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054992237,0.0011073536,0.3586511,0.0007679113,0.0014717767,0.007416597,0.0027565593,0.1915458,0.022271764,0.14427212,0.012407351,0.25183246],"study_design_scores_gemma":[0.00022065794,0.00090380484,0.65487844,0.0002097656,0.00050243334,0.0012094188,0.0017994099,0.158763,0.01063302,0.15722895,0.013299034,0.00035203647],"about_ca_topic_score_codex":0.0027680986,"about_ca_topic_score_gemma":0.0030106683,"teacher_disagreement_score":0.005435237,"about_ca_system_score_codex":0.0009721655,"about_ca_system_score_gemma":0.00042808417,"threshold_uncertainty_score":0.018182635},"labels":[],"label_agreement":null},{"id":"W2157146817","doi":"10.2139/ssrn.2104433","title":"Target Price Forecasts: Fundamentals and Behavioral Factors","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economics; Earnings; Stock (firearms); Earnings growth; Stock price; Econometrics; Financial economics; Monetary economics; Finance; Biology","score_opus":0.03352181750072378,"score_gpt":0.24018420957387374,"score_spread":0.20666239207314996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157146817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670304,0.00074215984,0.014045023,0.0019589863,0.000058617614,0.000026880722,0.00079561974,0.00011245424,0.015229838],"genre_scores_gemma":[0.99801266,0.00022855039,0.0006114524,0.000040273426,0.000057323166,0.0000037632387,0.0002562112,0.000008569041,0.00078117615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996841,0.000061687846,0.000018205805,0.000073599396,0.00010903728,0.000053339354],"domain_scores_gemma":[0.9871451,0.008660154,0.0024447048,0.00039390454,0.00094061217,0.00041552662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015722055,0.00028081005,0.0002720724,0.0006656668,0.00018362989,0.002243866,0.00033422507,0.0009798831,0.0034804395],"category_scores_gemma":[0.02135678,0.00026288067,0.0001823494,0.00078012585,0.00028446235,0.0018111246,0.00030217145,0.0011099476,0.00089807715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058787625,0.00032927658,0.8220674,0.00009544271,0.00014797153,0.00032314993,0.00080870616,0.045594737,0.0037401058,0.029414041,0.0073449262,0.08954644],"study_design_scores_gemma":[0.00004960957,0.00014038329,0.7998769,0.000046394394,0.00008789738,0.00024563776,0.00042915513,0.15889654,0.0014512069,0.036036104,0.0026804938,0.000059708032],"about_ca_topic_score_codex":0.003958083,"about_ca_topic_score_gemma":0.003367536,"teacher_disagreement_score":0.003958083,"about_ca_system_score_codex":0.00052842597,"about_ca_system_score_gemma":0.00029373472,"threshold_uncertainty_score":0.011643231},"labels":[],"label_agreement":null},{"id":"W2157351803","doi":"","title":"MARKET RISK PREMIUM USED IN 2008: A SURVEY OF MORE THAN A 1,000 PROFESSORS","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Confusion; Risk premium; Variety (cybernetics); Economics; Actuarial science; Business; Mathematics; Econometrics; Statistics; Psychology","score_opus":0.06791230453093429,"score_gpt":0.3069792923928381,"score_spread":0.23906698786190383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157351803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99571484,0.0010269654,0.00026139288,0.0011876567,0.000019429692,0.000010169829,0.00022068007,0.000016628956,0.0015422814],"genre_scores_gemma":[0.99671423,0.0010233398,0.00024488702,0.0004255135,0.00006323795,0.000012570331,0.0001779107,0.0000070873043,0.001331354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972379,0.0006262534,0.00033953373,0.00030228143,0.0012061476,0.0002878067],"domain_scores_gemma":[0.987068,0.0027386053,0.006248708,0.0003573355,0.0017128899,0.001874438],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0032013722,0.00016697933,0.00035433332,0.0012266594,0.0004868683,0.0012699128,0.00036010376,0.0007704782,0.002426322],"category_scores_gemma":[0.0133572025,0.00020766734,0.00027114144,0.0013383988,0.0002863469,0.0016833569,0.0006840354,0.0007782424,0.0007609258],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107223386,0.0003221471,0.9095317,0.00010598006,0.00006625981,0.00024804636,0.0071947533,0.00030964336,0.0017854271,0.0005026171,0.008472918,0.07135329],"study_design_scores_gemma":[0.000016363228,0.00029028868,0.968418,0.000052614014,0.000031190495,0.0009833273,0.006899394,0.0007835078,0.0008290544,0.0001517177,0.021504944,0.00003963606],"about_ca_topic_score_codex":0.0017678636,"about_ca_topic_score_gemma":0.0022400059,"teacher_disagreement_score":0.99679863,"about_ca_system_score_codex":0.00079934474,"about_ca_system_score_gemma":0.0003904771,"threshold_uncertainty_score":0.01693064},"labels":[],"label_agreement":null},{"id":"W2157665150","doi":"","title":"Risk, Timing and Overoptimism in Private Placements and Public Offerings","year":2007,"lang":"en","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Equity (law); Initial public offering; Private equity; Investment (military); Economics; Financial economics; Welfare economics; Monetary economics; Finance; Political science","score_opus":0.0312534520757612,"score_gpt":0.21898576905229802,"score_spread":0.18773231697653683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157665150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99086905,0.000350525,0.0046074125,0.0006923243,0.000015594122,0.000029458946,0.00018885211,0.000031958116,0.0032148177],"genre_scores_gemma":[0.99757546,0.000117093434,0.0004092567,0.000019094936,0.000024042549,0.0000103518,0.00008977633,0.000008791987,0.0017462577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983973,0.00044549466,0.00013761438,0.0002663286,0.0003180276,0.00043523603],"domain_scores_gemma":[0.9496795,0.023396457,0.0207842,0.0027834247,0.00095063983,0.0024057887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007337767,0.00034537847,0.00082887645,0.0008966231,0.0005377805,0.0047737495,0.0006845249,0.0012267301,0.010398329],"category_scores_gemma":[0.04297716,0.00049581565,0.0007250586,0.0011722227,0.001303315,0.002179464,0.0013622099,0.0014751309,0.0004998432],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021612032,0.0004901411,0.8553862,0.00011744017,0.00022658159,0.00066434144,0.0014408111,0.0486319,0.0018804286,0.04240697,0.0013878037,0.045206133],"study_design_scores_gemma":[0.00016275836,0.000517465,0.82456297,0.000060125396,0.00019423361,0.0002793665,0.0016623476,0.090812206,0.0013713244,0.078072295,0.0021861373,0.000118809076],"about_ca_topic_score_codex":0.008250299,"about_ca_topic_score_gemma":0.008047541,"teacher_disagreement_score":0.010398329,"about_ca_system_score_codex":0.0023991924,"about_ca_system_score_gemma":0.0010617347,"threshold_uncertainty_score":0.03880626},"labels":[],"label_agreement":null},{"id":"W2157878703","doi":"10.2139/ssrn.2022266","title":"Risk-Taking and Retirement Investing in Mutual Funds","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Mutual fund; Actuarial science; Finance","score_opus":0.03208545729700773,"score_gpt":0.2275692548627678,"score_spread":0.19548379756576006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157878703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99712676,0.00045711835,0.00034570307,0.000598718,0.0000066578355,0.000005701514,0.000038033646,0.0000071001705,0.0014142519],"genre_scores_gemma":[0.9984686,0.00013550294,0.00007218813,0.000029136752,0.000015201067,0.000002203593,0.000031837728,0.0000013988775,0.0012439123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958235,0.00012644508,0.00003970144,0.00004285894,0.0000410277,0.0001677213],"domain_scores_gemma":[0.9936836,0.0019810863,0.0027227951,0.00019006577,0.00025511396,0.001167337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018886046,0.00024970822,0.00039714362,0.00046799358,0.0006615631,0.0017194902,0.0004963155,0.0017112414,0.0037098143],"category_scores_gemma":[0.011348551,0.00018143505,0.00037067148,0.0003139524,0.00048075552,0.0015266453,0.0007811539,0.001100396,0.0003679],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018125088,0.0011608909,0.9072516,0.000093549555,0.00017064682,0.0020441962,0.0035781544,0.007377935,0.0020456538,0.028594192,0.0021296898,0.043741044],"study_design_scores_gemma":[0.00012445722,0.0011124162,0.86486274,0.00012764178,0.00029603628,0.0016058085,0.00824199,0.036475793,0.0016219522,0.08120205,0.004219315,0.00010979174],"about_ca_topic_score_codex":0.005215888,"about_ca_topic_score_gemma":0.008920687,"teacher_disagreement_score":0.005215888,"about_ca_system_score_codex":0.00079685746,"about_ca_system_score_gemma":0.00056465296,"threshold_uncertainty_score":0.012410581},"labels":[],"label_agreement":null},{"id":"W2158051384","doi":"10.1111/j.1354-7798.2005.00281.x","title":"An Intertemporal International Asset Pricing Model: Theory and Empirical Evidence","year":2005,"lang":"en","type":"article","venue":"European Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Capital asset pricing model; Exchange rate; Consumption-based capital asset pricing model; Financial economics; Basis risk; Risk premium; Econometrics; Foreign exchange risk; Risk-free interest rate; Rational pricing; Monetary economics","score_opus":0.07039286850723372,"score_gpt":0.2738916989746122,"score_spread":0.20349883046737846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158051384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5386499,0.010463956,0.3920237,0.006118826,0.00015448824,0.00010590416,0.00082099944,0.00045121717,0.051211044],"genre_scores_gemma":[0.98229915,0.0027329274,0.01089387,0.00020555976,0.00008817657,0.000039541577,0.00033218417,0.000033139804,0.003375439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995214,0.00023817847,0.000020908687,0.00008584792,0.00008946415,0.000044224915],"domain_scores_gemma":[0.99711716,0.0018492885,0.00043754876,0.00017829385,0.00030259698,0.00011510901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025790439,0.00063606177,0.0009322952,0.0009285392,0.000390648,0.00271335,0.0013471838,0.0016066387,0.005986609],"category_scores_gemma":[0.0069321883,0.00033819972,0.0006439752,0.0019163039,0.0011637809,0.0031984842,0.00082225946,0.0015819006,0.0006368479],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011483327,0.00020958824,0.011124726,0.00016762341,0.00015219393,0.00039485702,0.000257839,0.50902855,0.0004543074,0.44671956,0.0050792964,0.026296629],"study_design_scores_gemma":[0.000039093964,0.000038430284,0.0030444304,0.000045376783,0.00006068542,0.000121853256,0.00006839417,0.7288964,0.000102036254,0.26469877,0.002859923,0.00002457728],"about_ca_topic_score_codex":0.006310022,"about_ca_topic_score_gemma":0.0024422144,"teacher_disagreement_score":0.006310022,"about_ca_system_score_codex":0.001147601,"about_ca_system_score_gemma":0.00061816996,"threshold_uncertainty_score":0.02002716},"labels":[],"label_agreement":null},{"id":"W2158148734","doi":"10.2139/ssrn.960501","title":"Adds and drops of coverage by equity research analysts","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Equity (law); Business; Accounting; Financial economics; Economics; Political science; Law","score_opus":0.0576320323803122,"score_gpt":0.2881195810867526,"score_spread":0.23048754870644042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158148734","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33790454,0.05761098,0.0025664608,0.37299186,0.012406139,0.00015474993,0.028603327,0.0019985624,0.18576325],"genre_scores_gemma":[0.83208764,0.013046914,0.0013201608,0.046599347,0.021048363,0.0001060823,0.013153808,0.00053325563,0.0721045],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9861486,0.002535246,0.0011195256,0.0013658418,0.0065774834,0.0022533305],"domain_scores_gemma":[0.8525607,0.08034072,0.023722328,0.0058757067,0.021052966,0.016447568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008453957,0.00037100646,0.0007476478,0.011239187,0.000983588,0.006236402,0.0013414238,0.0038567467,0.017604051],"category_scores_gemma":[0.09457021,0.00037487887,0.00066216773,0.006768094,0.000906355,0.0029836416,0.0028898655,0.003166274,0.0043607196],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009793857,0.000098801305,0.11311458,0.00056430313,0.0002121889,0.00093747757,0.0025255173,0.00043352594,0.0029876055,0.012515851,0.6018652,0.2637655],"study_design_scores_gemma":[0.000071318915,0.0001543721,0.27896887,0.00048826533,0.00017768628,0.0009357888,0.0019944285,0.0017754036,0.0024959105,0.003191752,0.7096971,0.000049075144],"about_ca_topic_score_codex":0.013547142,"about_ca_topic_score_gemma":0.009340418,"teacher_disagreement_score":0.017604051,"about_ca_system_score_codex":0.00238578,"about_ca_system_score_gemma":0.003623329,"threshold_uncertainty_score":0.058891416},"labels":[],"label_agreement":null},{"id":"W2158213690","doi":"10.2139/ssrn.2442690","title":"Need for Speed? Exchange Latency and Market Quality","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Business; Latency (audio); Quality (philosophy); Industrial organization; Computer science; Telecommunications","score_opus":0.025668522756964535,"score_gpt":0.2361927797522272,"score_spread":0.21052425699526264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158213690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96609837,0.0023910897,0.0051440126,0.007400811,0.0001372542,0.000026377873,0.0004905091,0.000076978096,0.018234665],"genre_scores_gemma":[0.9981353,0.00019288794,0.00026919183,0.00015930574,0.00013806472,0.0000033311142,0.0000558263,0.00002489265,0.0010211254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865216,0.0003678893,0.00016910974,0.00021304878,0.00029027156,0.00030748796],"domain_scores_gemma":[0.89552647,0.06494987,0.026075857,0.004831138,0.0035032062,0.0051134303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004860318,0.000204275,0.0006649006,0.0011130436,0.00067264604,0.0056899977,0.00061044336,0.0015370643,0.023893122],"category_scores_gemma":[0.07529912,0.00031743434,0.00039998602,0.0020768347,0.0014880423,0.009715539,0.0013155884,0.0021222895,0.0011490816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003360549,0.0004490325,0.8080374,0.0003726153,0.00048369178,0.0006508806,0.0024368253,0.009044929,0.0023926164,0.08229862,0.005173826,0.08529896],"study_design_scores_gemma":[0.00043753526,0.00074396,0.768224,0.00014873757,0.00042212804,0.0010603546,0.006025834,0.013149875,0.001291878,0.19925652,0.009120484,0.0001187325],"about_ca_topic_score_codex":0.0032779502,"about_ca_topic_score_gemma":0.0024906357,"teacher_disagreement_score":0.023893122,"about_ca_system_score_codex":0.0007955324,"about_ca_system_score_gemma":0.00068550283,"threshold_uncertainty_score":0.079930425},"labels":[],"label_agreement":null},{"id":"W2158309505","doi":"10.2139/ssrn.475483","title":"On the Role of Arbitrageurs in Rational Markets","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Arbitrage; Business; Monetary economics; Financial economics; Economics; Financial system","score_opus":0.010098289815982011,"score_gpt":0.18757695439528185,"score_spread":0.17747866457929984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158309505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3593331,0.030792184,0.35157996,0.06279346,0.0013706993,0.00016150497,0.00022342199,0.00026137973,0.19348434],"genre_scores_gemma":[0.9715602,0.0058449106,0.009728543,0.0007640665,0.0012220384,0.000062330226,0.000036835623,0.000055171662,0.010725858],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969639,0.0019524973,0.00013924962,0.00027541228,0.00033859885,0.0003302635],"domain_scores_gemma":[0.9491622,0.044544164,0.0021286807,0.00196516,0.0011152085,0.0010846177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0109067205,0.0009189774,0.0018548224,0.0012419653,0.0016447894,0.005968394,0.0021926558,0.0064159385,0.008227728],"category_scores_gemma":[0.04647882,0.0008573311,0.0010960491,0.0009792028,0.009746541,0.01873817,0.0030385298,0.0043868953,0.000599389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044809884,0.00001429508,0.0002470062,0.000036412777,0.00000940688,0.00007196246,0.00014374213,0.0035427294,0.000107446685,0.99230766,0.0008535564,0.0026209527],"study_design_scores_gemma":[0.00002866095,0.000008267298,0.000083863764,0.000011477863,0.0000060366474,0.000017462573,0.00003644038,0.015932435,0.00003834641,0.9830792,0.00075086154,0.0000068668105],"about_ca_topic_score_codex":0.0015928571,"about_ca_topic_score_gemma":0.00077949197,"teacher_disagreement_score":0.0109067205,"about_ca_system_score_codex":0.0012519343,"about_ca_system_score_gemma":0.0012212669,"threshold_uncertainty_score":0.057680964},"labels":[],"label_agreement":null},{"id":"W2158625146","doi":"10.2139/ssrn.1107590","title":"Intraday Patterns in the Cross-Section of Stock Returns","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Stock (firearms); Section (typography); Business; Financial economics; Economics; Geography; Advertising; Archaeology","score_opus":0.015290798813968155,"score_gpt":0.23050486435185996,"score_spread":0.2152140655378918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158625146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972677,0.00025182636,0.0008563136,0.00013386493,0.000009228914,0.0000037268946,0.00039048996,0.000021735605,0.0010651055],"genre_scores_gemma":[0.9986935,0.00009102316,0.0001874605,0.000012612205,0.000017995098,0.000002660532,0.0004612295,0.000007144104,0.0005263053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999713,0.00006380382,0.000036109337,0.000091807335,0.00005210079,0.000043165935],"domain_scores_gemma":[0.9938397,0.0027710816,0.0015265913,0.0007906478,0.00071466726,0.00035742822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001171847,0.0001363293,0.0002897412,0.001198859,0.00022014494,0.0010363183,0.0003350935,0.00065675925,0.0029404813],"category_scores_gemma":[0.008328135,0.00027186208,0.0002801303,0.0012802284,0.00027209078,0.00089218747,0.0005903873,0.0006030391,0.0008792253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005990845,0.00016478375,0.9518309,0.000055422825,0.00030971563,0.00042767017,0.0005997665,0.0052491594,0.008359412,0.0061943987,0.0021706375,0.024038933],"study_design_scores_gemma":[0.000007997156,0.00004368538,0.98802257,0.000008298076,0.00003398838,0.00024195598,0.00014420184,0.008662374,0.0004589703,0.0017363053,0.00062759506,0.000012237381],"about_ca_topic_score_codex":0.0018021315,"about_ca_topic_score_gemma":0.0025548453,"teacher_disagreement_score":0.0029404813,"about_ca_system_score_codex":0.00026478435,"about_ca_system_score_gemma":0.000100722544,"threshold_uncertainty_score":0.009836853},"labels":[],"label_agreement":null},{"id":"W2158694966","doi":"10.1093/rfs/hhp035","title":"Variance Risk-Premium Dynamics: The Role of Jumps","year":2009,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":344,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Variance (accounting); Variance risk premium; Dynamics (music); Economics; Volume (thermodynamics); Econometrics; Actuarial science; Financial economics; Psychology; Volatility risk premium; Stochastic volatility; Accounting; Volatility (finance); Physics","score_opus":0.020634115732328945,"score_gpt":0.24384533221740645,"score_spread":0.2232112164850775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158694966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95520365,0.0024426891,0.03800641,0.00083229074,0.00002801624,0.000011986461,0.00012696032,0.00008968746,0.0032582737],"genre_scores_gemma":[0.99836665,0.00035740808,0.0008545799,0.000020012052,0.000031807926,0.00000236267,0.000035315137,0.0000068900026,0.00032501313],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996338,0.000097360564,0.00002283387,0.00008668104,0.00010872766,0.000050562623],"domain_scores_gemma":[0.99170554,0.004934358,0.002321681,0.00046354154,0.00034454616,0.00023035948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014878056,0.00027984174,0.0004258399,0.00076098926,0.00016236055,0.0015007299,0.0005657214,0.00087783585,0.0015490701],"category_scores_gemma":[0.01402392,0.00024713884,0.00039820172,0.0005574455,0.00078503427,0.0019323161,0.00067994953,0.0010091191,0.00015250912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000770049,0.00032762493,0.31869653,0.00042363707,0.00063515204,0.0025192895,0.0020458465,0.19163695,0.034011357,0.27203816,0.0030354278,0.17386004],"study_design_scores_gemma":[0.00006240045,0.00025209945,0.329373,0.00008922526,0.00020132874,0.0011916345,0.00037838603,0.4375507,0.0041669016,0.22360966,0.002986334,0.00013828574],"about_ca_topic_score_codex":0.00086084654,"about_ca_topic_score_gemma":0.0006514917,"teacher_disagreement_score":0.0015490701,"about_ca_system_score_codex":0.0003419487,"about_ca_system_score_gemma":0.00017253503,"threshold_uncertainty_score":0.00786835},"labels":[],"label_agreement":null},{"id":"W2158931995","doi":"","title":"The Rationale for Cross-Border Listings","year":2004,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cross listing; Equity (law); Incentive; Economics; Listing (finance); Information asymmetry; Cost of capital; Capital market; Business; Monetary economics; International economics; Finance; Market economy; Corporate governance","score_opus":0.026204571143913714,"score_gpt":0.2808848747456617,"score_spread":0.254680303601748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158931995","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.098947465,0.02692317,0.06194904,0.14480138,0.0062260195,0.000520348,0.00091792597,0.00036106157,0.6593537],"genre_scores_gemma":[0.84878755,0.0050283093,0.010332579,0.038581356,0.0032825614,0.0003041695,0.00021185278,0.00010370521,0.09336799],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969215,0.00057195954,0.00019764865,0.00089361746,0.00083462364,0.00058063766],"domain_scores_gemma":[0.9937383,0.002232707,0.00090400974,0.00075830345,0.0017180796,0.0006486132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046018204,0.00037710313,0.000425623,0.0010360728,0.0019348633,0.0036338333,0.001408631,0.006365899,0.012555066],"category_scores_gemma":[0.011532683,0.00034931937,0.0005685493,0.0009614148,0.0059057926,0.0033066159,0.002005891,0.006396989,0.0020467727],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004587361,0.000039667902,0.002303624,0.00004839363,0.000009704328,0.000266515,0.0002712552,0.00012843504,0.00023290676,0.97246426,0.011339474,0.012849816],"study_design_scores_gemma":[0.00021234134,0.00020975103,0.009375688,0.00063230266,0.00007334759,0.0021162115,0.0009164258,0.0021345427,0.0021611464,0.4453971,0.536686,0.0000851896],"about_ca_topic_score_codex":0.005238342,"about_ca_topic_score_gemma":0.0060221455,"teacher_disagreement_score":0.99476165,"about_ca_system_score_codex":0.002499652,"about_ca_system_score_gemma":0.002168087,"threshold_uncertainty_score":0.04200089},"labels":[],"label_agreement":null},{"id":"W2159061403","doi":"10.3390/ijfs3030319","title":"Forecasting Returns with Fundamentals-Removed Investor Sentiment","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Index (typography); Irrational number; Economics; Financial economics; Econometrics; Computer science; Mathematics","score_opus":0.13948865560051094,"score_gpt":0.2808590814084836,"score_spread":0.14137042580797266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159061403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879204,0.00028728507,0.009034022,0.00030514563,0.000041697505,0.000018344881,0.0004364736,0.0001305467,0.0018259732],"genre_scores_gemma":[0.9964154,0.00013189409,0.0023160013,0.0000174983,0.00005185371,0.0000040737737,0.00060925464,0.000006350459,0.00044768525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997023,0.00006674514,0.000019492732,0.000068476096,0.00008367302,0.000059256716],"domain_scores_gemma":[0.99847704,0.0006401679,0.00034384517,0.000098647535,0.00027882686,0.00016133519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001247252,0.00060222525,0.0005140483,0.0012752224,0.00013845554,0.00087869435,0.0004069859,0.0005842909,0.00086191884],"category_scores_gemma":[0.0067800796,0.00028679063,0.00036250055,0.00086852326,0.00016665214,0.0010643379,0.00043405293,0.0008361019,0.0004486371],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010916466,0.00054015644,0.4766744,0.000075460724,0.00036648635,0.0005061236,0.00011338924,0.36482075,0.006614422,0.0066126366,0.0074773375,0.13510719],"study_design_scores_gemma":[0.000030429293,0.000110280416,0.051942088,0.0000072772577,0.000022321776,0.000024301708,0.000021006037,0.9452904,0.0008367095,0.0013236352,0.0003791589,0.000012419675],"about_ca_topic_score_codex":0.010622841,"about_ca_topic_score_gemma":0.008388212,"teacher_disagreement_score":0.010622841,"about_ca_system_score_codex":0.0004915159,"about_ca_system_score_gemma":0.00031985765,"threshold_uncertainty_score":0.021121979},"labels":[],"label_agreement":null},{"id":"W2159283096","doi":"10.5539/ijef.v3n6p91","title":"Consumer Confidence and Stock Markets: The Panel Causality Evidence","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Consumer confidence index; Stock (firearms); Stock market; Granger causality; Economics; Panel data; Econometrics; Causality (physics); Stock market index; Confidence interval; Stock price; Financial economics; Statistics; Macroeconomics; Mathematics","score_opus":0.11676000484319292,"score_gpt":0.25110630582432764,"score_spread":0.1343463009811347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159283096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9662505,0.0036828835,0.009145139,0.0036429877,0.00009834538,0.00004830429,0.0027911598,0.00006232622,0.014278389],"genre_scores_gemma":[0.99585104,0.0010351734,0.0008662179,0.00031818,0.000081982485,0.000012615697,0.0012555625,0.000006236248,0.00057294907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983487,0.0009032475,0.00010016501,0.00023419801,0.00027019932,0.00014350397],"domain_scores_gemma":[0.9335709,0.047853727,0.011272274,0.00397284,0.0021825908,0.0011476399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038236536,0.00039690913,0.00064393866,0.0020041573,0.0005164143,0.001968273,0.00060259213,0.0011339821,0.009275258],"category_scores_gemma":[0.020067193,0.00028432434,0.0010201358,0.002989362,0.0007394225,0.001545548,0.0011751559,0.001568828,0.0007009309],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030506199,0.0002407095,0.9577112,0.000099296856,0.0013279021,0.00031301018,0.00030552028,0.0036614724,0.00020340124,0.007806311,0.0025029602,0.025523202],"study_design_scores_gemma":[0.00020856735,0.00039465865,0.91987616,0.00019803506,0.0021749577,0.000468314,0.0016426297,0.037228644,0.0016446683,0.027523102,0.008532105,0.00010818186],"about_ca_topic_score_codex":0.010641762,"about_ca_topic_score_gemma":0.00754453,"teacher_disagreement_score":0.010641762,"about_ca_system_score_codex":0.00037489212,"about_ca_system_score_gemma":0.0003732382,"threshold_uncertainty_score":0.031028807},"labels":[],"label_agreement":null},{"id":"W2159828680","doi":"10.1023/a:1024533132105","title":"Termination Risk, Multiple Managers and Mutual Fund Tournaments","year":2003,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Incentive; Open-end fund; Manager of managers fund; Business; Fund of funds; Closed-end fund; Fund administration; Mutual fund; Finance; Constraint (computer-aided design); Target date fund; Actuarial science; Microeconomics; Institutional investor; Economics","score_opus":0.04497886275222965,"score_gpt":0.22756563254924067,"score_spread":0.18258676979701102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159828680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99456894,0.0005741219,0.0007482368,0.00031594068,0.000010567071,0.000012369707,0.00003745709,0.000007630246,0.0037247401],"genre_scores_gemma":[0.9993337,0.00006084198,0.000071873794,0.000015810245,0.000012254971,0.0000039318497,0.000016407317,6.223997e-7,0.00048451166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982089,0.00091492827,0.000095063886,0.00015808851,0.00035646613,0.0002665329],"domain_scores_gemma":[0.97033507,0.007853254,0.018520959,0.00060255727,0.0008663434,0.0018217159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033926824,0.00016323777,0.0003243032,0.00067749055,0.0004394649,0.0014804841,0.00031550066,0.0007030995,0.0031698912],"category_scores_gemma":[0.018954711,0.00007728446,0.00019321355,0.0005496759,0.00050044846,0.0005907707,0.0006974878,0.0005122259,0.00023392473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094995974,0.00030179883,0.9292856,0.00008059386,0.00019180702,0.00047375046,0.0008478364,0.0048999027,0.0012594095,0.0065767597,0.001880463,0.053252224],"study_design_scores_gemma":[0.000094750656,0.0005168375,0.97600675,0.000046500474,0.00008387312,0.00036191937,0.0013241731,0.008790278,0.00039374537,0.008696091,0.0036526236,0.000032486252],"about_ca_topic_score_codex":0.0015919184,"about_ca_topic_score_gemma":0.0026490188,"teacher_disagreement_score":0.0033926824,"about_ca_system_score_codex":0.000694786,"about_ca_system_score_gemma":0.00026595706,"threshold_uncertainty_score":0.017942429},"labels":[],"label_agreement":null},{"id":"W2160018070","doi":"10.7202/601414ar","title":"Spéculation et intérêt collectif","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"INT; Philosophy; Humanities; Sociology; Computer science; Programming language","score_opus":0.05345938082583611,"score_gpt":0.24570652544750549,"score_spread":0.19224714462166936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160018070","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29297966,0.02880757,0.08255162,0.0446385,0.0010673983,0.0001497963,0.0027779266,0.00030083858,0.5467267],"genre_scores_gemma":[0.9144024,0.007328289,0.004458103,0.0007233265,0.00091080787,0.00007377487,0.0006919205,0.00008412195,0.07132713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986964,0.00037969727,0.00008730826,0.0002550148,0.0004132641,0.00016839142],"domain_scores_gemma":[0.9900912,0.005405752,0.0017982041,0.0011616946,0.0010729112,0.00047031965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002836341,0.0004402259,0.0006420048,0.0016091932,0.001336471,0.0057619754,0.0006124787,0.0014371448,0.020784324],"category_scores_gemma":[0.014036677,0.0002825791,0.00059950154,0.0018030968,0.0025518297,0.0045855483,0.0020604304,0.0019642164,0.0019392725],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020262215,0.00004260302,0.008658847,0.00018782442,0.00006953973,0.00066083943,0.0019638438,0.0018675596,0.00052781106,0.93182695,0.0059522307,0.048039384],"study_design_scores_gemma":[0.000048578095,0.00010918769,0.010760085,0.00027551173,0.000058343107,0.00089882093,0.0013091277,0.0057746987,0.0007209082,0.86806476,0.11193385,0.00004622169],"about_ca_topic_score_codex":0.0027204575,"about_ca_topic_score_gemma":0.001666388,"teacher_disagreement_score":0.020784324,"about_ca_system_score_codex":0.0020830114,"about_ca_system_score_gemma":0.00159732,"threshold_uncertainty_score":0.06953049},"labels":[],"label_agreement":null},{"id":"W2160087799","doi":"","title":"Optimal Bid-Ask Spread in Limit-Order Books under Regime Switching Framework","year":2014,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Limit (mathematics); Ask price; Order (exchange); Portfolio; Dynamic programming; Bid price; Economics; Market portfolio; Poisson distribution; Market maker; Mathematical optimization; Computer science; Mathematical economics; Microeconomics; Financial economics; Mathematics; Economy; Finance","score_opus":0.02701057862767029,"score_gpt":0.22943037120247994,"score_spread":0.20241979257480966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160087799","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30615842,0.0012567098,0.679626,0.0011671088,0.00007218205,0.00010185068,0.00021640504,0.00020141603,0.011199933],"genre_scores_gemma":[0.9683685,0.000683975,0.023193933,0.000097341166,0.00005768192,0.00009736967,0.00011573791,0.000047377314,0.0073380726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998939,0.00050101563,0.000046625846,0.00015674141,0.00017511952,0.00018144959],"domain_scores_gemma":[0.99579597,0.003025901,0.0004365972,0.00015929215,0.0002490386,0.00033324186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002803392,0.0006365888,0.0021158312,0.00067390496,0.0006496744,0.0027284212,0.0016066893,0.00192481,0.003709402],"category_scores_gemma":[0.008501474,0.0010510314,0.0009870916,0.0007209978,0.0016158189,0.0035160764,0.0009812406,0.0018343804,0.000396797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023040791,0.00012837493,0.0013734563,0.00011328907,0.000066441185,0.00033287384,0.00013828542,0.8378698,0.0024433166,0.1490046,0.0010888214,0.0072103003],"study_design_scores_gemma":[0.00001931062,0.00003741431,0.00027995725,0.0000071847735,0.000010599497,0.00003515148,0.000019277537,0.96680653,0.00021337364,0.03241441,0.00014337339,0.000013417369],"about_ca_topic_score_codex":0.0028115364,"about_ca_topic_score_gemma":0.0015781628,"teacher_disagreement_score":0.003709402,"about_ca_system_score_codex":0.0015302153,"about_ca_system_score_gemma":0.0013783304,"threshold_uncertainty_score":0.0148258805},"labels":[],"label_agreement":null},{"id":"W2160479175","doi":"10.1002/cjas.1338","title":"Effects of pension fund freezing on firm performance and risk","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"","keywords":"Pension fund; Pension; Shareholder; Welfare economics; Business; Political science; Economics; Finance","score_opus":0.12287070117342822,"score_gpt":0.27675125924051897,"score_spread":0.15388055806709075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160479175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99798274,0.00027599893,0.00025415618,0.00018578989,0.000012150926,0.000009443218,0.00016602875,0.000014973257,0.0010986422],"genre_scores_gemma":[0.9996568,0.000051454474,0.000023761457,0.000012681143,0.000006635341,0.0000019910467,0.00006802265,0.0000011088459,0.0001775734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867636,0.00042144692,0.00011209362,0.00014320062,0.0002133915,0.00043353942],"domain_scores_gemma":[0.96497035,0.016193038,0.014050347,0.001536165,0.0010273572,0.0022227177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033278721,0.0003623898,0.0005524076,0.00058816996,0.0003440039,0.0017205545,0.00061419734,0.0008081444,0.0030738134],"category_scores_gemma":[0.022071172,0.00016278808,0.0006387018,0.00049045164,0.0007828339,0.0009099563,0.0010084771,0.0017639986,0.00023036919],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005236798,0.0013132904,0.83022594,0.00018180949,0.00083953683,0.0011979676,0.00037877198,0.09777769,0.004732713,0.0059030987,0.0015232743,0.050689112],"study_design_scores_gemma":[0.00012452221,0.0025893163,0.95403236,0.000072350536,0.0004595112,0.00029289175,0.0008346598,0.030934198,0.0034773082,0.0057542827,0.0013423284,0.00008622637],"about_ca_topic_score_codex":0.0068514016,"about_ca_topic_score_gemma":0.003895807,"teacher_disagreement_score":0.0068514016,"about_ca_system_score_codex":0.0014905552,"about_ca_system_score_gemma":0.00068040384,"threshold_uncertainty_score":0.017599702},"labels":[],"label_agreement":null},{"id":"W2160487111","doi":"10.1111/1467-8462.12040","title":"Asset Allocation Policy, Returns and Expenses of Superannuation Funds: Recent Evidence Based on Default Options","year":2014,"lang":"en","type":"article","venue":"Australian Economic Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Asset allocation; Global assets under management; Business; Finance; Stable value fund; Asset (computer security); Investment (military); Passive management; Closed-end fund; Fund of funds; Institutional investor; Economics; Monetary economics; Market liquidity","score_opus":0.10695808658327957,"score_gpt":0.30604508742460335,"score_spread":0.19908700084132377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160487111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92604804,0.06252951,0.0008350335,0.0016801335,0.000030008285,0.00002506062,0.00046561926,0.000014804039,0.008371772],"genre_scores_gemma":[0.9693047,0.028582346,0.0003201505,0.00013994718,0.00010876503,0.00001236047,0.0005440996,0.00000453907,0.0009832327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99785954,0.00073182106,0.0002453209,0.0001842322,0.00080864236,0.00017046771],"domain_scores_gemma":[0.9301665,0.02411228,0.039039083,0.0011830443,0.0042319945,0.0012670575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006062945,0.00022360774,0.000695956,0.0029916253,0.0001956676,0.0012763409,0.0006495165,0.0006535009,0.0018294035],"category_scores_gemma":[0.03591503,0.00019558909,0.0004340879,0.0035492496,0.00077747414,0.001556156,0.0008135112,0.0007991163,0.00036003307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015011302,0.00026449285,0.78736466,0.0019781962,0.0009220595,0.00065632333,0.00069817825,0.0050021643,0.0010803078,0.013445897,0.0036064098,0.18348023],"study_design_scores_gemma":[0.000049407667,0.00034599117,0.9805988,0.00048405436,0.00037100448,0.00041480534,0.00028899367,0.0017032337,0.0008330296,0.003124238,0.011761485,0.000024900854],"about_ca_topic_score_codex":0.0039164494,"about_ca_topic_score_gemma":0.0042615477,"teacher_disagreement_score":0.006062945,"about_ca_system_score_codex":0.0008153298,"about_ca_system_score_gemma":0.000563714,"threshold_uncertainty_score":0.03206426},"labels":[],"label_agreement":null},{"id":"W2160509095","doi":"10.2139/ssrn.1707868","title":"Informational Herding by Institutional Investors: Evidence from Analyst Recommendations","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Herding; Business; Institutional investor; Accounting; Monetary economics; Financial economics; Finance; Economics; Corporate governance; Geography","score_opus":0.05678695276353114,"score_gpt":0.22759941628673233,"score_spread":0.17081246352320117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160509095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99128133,0.0007243233,0.0008820426,0.00076809083,0.000018184652,0.000034636665,0.0002488402,0.00002746471,0.006015117],"genre_scores_gemma":[0.9983558,0.0003632777,0.00047852975,0.000106040236,0.00004625125,0.000009198437,0.00015788636,0.0000041371886,0.00047895918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980202,0.0009118962,0.00016318033,0.00025449728,0.0004936335,0.0001565417],"domain_scores_gemma":[0.8338648,0.12000292,0.0328311,0.0074628475,0.004493869,0.001344493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005822832,0.00026714997,0.00049601914,0.0012650411,0.00056764943,0.0017105598,0.000660343,0.0016715958,0.0043426254],"category_scores_gemma":[0.06777485,0.00027245135,0.00025062845,0.0011250505,0.0005848539,0.0019451169,0.0005057219,0.0009172274,0.0006995918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043828823,0.0012110292,0.81350166,0.0004199919,0.00097570283,0.0006203078,0.0030165105,0.0043113492,0.003568544,0.0044747726,0.007925958,0.15559138],"study_design_scores_gemma":[0.000995495,0.0027679736,0.91178304,0.00030079295,0.0017889396,0.0008504459,0.0048596035,0.038801424,0.008558646,0.016092665,0.013052893,0.00014806699],"about_ca_topic_score_codex":0.0032365264,"about_ca_topic_score_gemma":0.003470519,"teacher_disagreement_score":0.005822832,"about_ca_system_score_codex":0.00044966378,"about_ca_system_score_gemma":0.00048018165,"threshold_uncertainty_score":0.030794501},"labels":[],"label_agreement":null},{"id":"W2161291890","doi":"10.5539/ijef.v3n5p65","title":"Liquidity Externalities and Information Spillover between the Equity and Corporate Bond Markets: An Empirical Study","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Spillover effect; Externality; Market liquidity; Equity (law); Liquidity crisis; Economics; Monetary economics; Liquidity risk; Bond; Empirical evidence; Financial economics; Business; Finance; Microeconomics","score_opus":0.10380043247100372,"score_gpt":0.27568803512079904,"score_spread":0.1718876026497953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161291890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99886215,0.00013246141,0.0002805337,0.000043343236,7.0596775e-7,0.000011623187,0.000025744166,0.0000028090685,0.0006406158],"genre_scores_gemma":[0.9995846,0.00010864488,0.00012386804,0.000008449422,0.0000063994967,0.000005368388,0.000037099468,5.5503926e-7,0.00012502041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999527,0.00019478529,0.000037943977,0.00006183446,0.00008120424,0.00009727054],"domain_scores_gemma":[0.98289883,0.011741044,0.003710091,0.0005362932,0.0004994538,0.00061422616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016602696,0.00028352442,0.0004608325,0.0010537148,0.0003395236,0.0010924413,0.0003450357,0.0006838014,0.003122758],"category_scores_gemma":[0.008311663,0.00019248978,0.00046544927,0.0010304403,0.000670951,0.0021576015,0.0011280967,0.0008891628,0.00016620495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021229964,0.0025316228,0.92276484,0.00023643236,0.00044614813,0.0018249688,0.0016711141,0.014298351,0.0035596704,0.010621169,0.0005165082,0.03940625],"study_design_scores_gemma":[0.00016943293,0.0014771898,0.91534644,0.00008979278,0.0005321094,0.0007629283,0.0032607948,0.06783915,0.0028439004,0.0067706695,0.0008582276,0.000049480575],"about_ca_topic_score_codex":0.0019857867,"about_ca_topic_score_gemma":0.0010521299,"teacher_disagreement_score":0.003122758,"about_ca_system_score_codex":0.00041103363,"about_ca_system_score_gemma":0.00040161426,"threshold_uncertainty_score":0.010446608},"labels":[],"label_agreement":null},{"id":"W2161340333","doi":"10.1093/jjfinec/nbi001","title":"Optimal Estimation of the Risk Premium for the Long Run and Asset Allocation: A Case of Compounded Estimation Risk","year":2005,"lang":"en","type":"article","venue":"Journal of Financial Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Estimator; Econometrics; Economics; Portfolio; Risk premium; Compounding; Asset allocation; Asset (computer security); Bias of an estimator; Statistics; Mathematics; Minimum-variance unbiased estimator; Finance; Computer science","score_opus":0.026841912953148712,"score_gpt":0.2361683486014079,"score_spread":0.20932643564825917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161340333","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13849244,0.0007736698,0.8568655,0.001005811,0.000036141268,0.000067378365,0.00010739589,0.00010816432,0.0025435546],"genre_scores_gemma":[0.8652365,0.0006110991,0.13133581,0.0001407532,0.000092226015,0.00009002046,0.00012770765,0.00005695676,0.002309026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99665076,0.0015800404,0.00020810666,0.00068195665,0.00058700104,0.0002920031],"domain_scores_gemma":[0.9687377,0.025288299,0.0029760823,0.0018187985,0.00079606875,0.00038304046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010260807,0.00083381054,0.0016596967,0.00090040296,0.00033927802,0.002555669,0.0010906024,0.0017277638,0.0019517776],"category_scores_gemma":[0.061099306,0.0008882178,0.0007949213,0.0007708442,0.002268968,0.0047518024,0.0020720323,0.0019804584,0.00017914767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018277449,0.000079952275,0.009462618,0.00015539676,0.00021476456,0.00048793928,0.0002855808,0.53075397,0.0021843107,0.40610856,0.0009515339,0.04913254],"study_design_scores_gemma":[0.000036089314,0.00008096665,0.0031708116,0.000042663538,0.000053758973,0.000121404475,0.000042304935,0.73012155,0.0014847327,0.26415095,0.0006473519,0.000047483092],"about_ca_topic_score_codex":0.0024453425,"about_ca_topic_score_gemma":0.0013823188,"teacher_disagreement_score":0.010260807,"about_ca_system_score_codex":0.0014721209,"about_ca_system_score_gemma":0.0017974337,"threshold_uncertainty_score":0.054264963},"labels":[],"label_agreement":null},{"id":"W2161641478","doi":"10.2139/ssrn.1676629","title":"Where do Local and Foreign Investors Lose Their Edge? The Mediating Role of State Ownership in Shaping Their Relative Informational Advantage","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Business; State (computer science); Enhanced Data Rates for GSM Evolution; Monetary economics; Economics; Computer science; Telecommunications","score_opus":0.012689730755947301,"score_gpt":0.1967430102175773,"score_spread":0.18405327946163003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161641478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98396724,0.0001662548,0.00062199956,0.0010644229,0.000008880093,0.0000039998813,0.000041214847,0.000009022102,0.0141169345],"genre_scores_gemma":[0.9993747,0.000046635152,0.000054163487,0.000076473,0.000007785508,0.0000010497482,0.000011264374,0.000002544155,0.0004254022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953926,0.00013060537,0.000019174282,0.00007301098,0.00006918852,0.00016876755],"domain_scores_gemma":[0.9930977,0.0038993708,0.001509272,0.00041922007,0.00032427395,0.000750159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016582482,0.00012033334,0.00048337542,0.00066285406,0.00070398854,0.004259545,0.0003622544,0.000981027,0.00943497],"category_scores_gemma":[0.009970203,0.0002107062,0.00015873638,0.0005582543,0.0014920393,0.0049871514,0.001655528,0.00090437866,0.0007345092],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002127418,0.00047043525,0.7954928,0.00014319674,0.00048183635,0.00072393316,0.010505487,0.0023674783,0.0074366014,0.091817334,0.0030286459,0.085404776],"study_design_scores_gemma":[0.00022876431,0.0005346535,0.7988176,0.00011551627,0.000655926,0.00061324344,0.04272397,0.009101816,0.0039990386,0.13426036,0.008844937,0.000104279265],"about_ca_topic_score_codex":0.0019134113,"about_ca_topic_score_gemma":0.003526856,"teacher_disagreement_score":0.00943497,"about_ca_system_score_codex":0.00033677748,"about_ca_system_score_gemma":0.00038891664,"threshold_uncertainty_score":0.031563103},"labels":[],"label_agreement":null},{"id":"W2161809324","doi":"10.2139/ssrn.1011828","title":"Dynamic Factors and Asset Pricing","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Consumption-based capital asset pricing model; Capital asset pricing model; Business; Economics; Financial economics","score_opus":0.016267462750793424,"score_gpt":0.20189448174655023,"score_spread":0.1856270189957568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161809324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6138343,0.015830101,0.19135755,0.010579323,0.00059855636,0.00004778098,0.00047805434,0.0002897166,0.16698445],"genre_scores_gemma":[0.9817375,0.0020098186,0.0020395187,0.000075620366,0.00019655963,0.0000073521815,0.00007812185,0.000024845745,0.013830583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997956,0.00005436374,0.000009778714,0.0000540485,0.000045079567,0.000041129857],"domain_scores_gemma":[0.9982508,0.0010586887,0.00021602164,0.00014384832,0.00016905161,0.0001615562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007343125,0.0005003826,0.00062338915,0.0007670855,0.0004669834,0.0034957195,0.0005145923,0.0011079957,0.009842367],"category_scores_gemma":[0.0064029265,0.000289967,0.00039986463,0.0010716128,0.0013731107,0.004596817,0.0007623255,0.0013998115,0.0007022226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041672803,0.000034191744,0.0030794265,0.000027264141,0.000026682092,0.0001755545,0.00014914868,0.011369581,0.00032847887,0.96429616,0.002486116,0.017985815],"study_design_scores_gemma":[0.0000101995165,0.00001333995,0.0020461616,0.000012300736,0.000011580625,0.00011502449,0.00008024805,0.020371977,0.00007587704,0.9737021,0.0035495516,0.000011592759],"about_ca_topic_score_codex":0.0024575605,"about_ca_topic_score_gemma":0.0014541646,"teacher_disagreement_score":0.009842367,"about_ca_system_score_codex":0.00092914636,"about_ca_system_score_gemma":0.00041447414,"threshold_uncertainty_score":0.032926023},"labels":[],"label_agreement":null},{"id":"W2161892973","doi":"10.7202/602271ar","title":"Modèles d’évaluation des actifs financiers dans les marchés boursiers en émergence : identification des facteurs de risque et tests de changement structurel","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.07476797406827876,"score_gpt":0.2765096499140181,"score_spread":0.20174167584573935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161892973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7529428,0.0017584523,0.22893201,0.0037247103,0.000078000754,0.00018935873,0.00080740405,0.0002268018,0.011340464],"genre_scores_gemma":[0.9751804,0.00046328877,0.015131107,0.000063532236,0.000031008414,0.00014603241,0.0002356964,0.00002875269,0.008720219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845934,0.00071550085,0.00006924163,0.0003157005,0.00023744485,0.00020275093],"domain_scores_gemma":[0.9864937,0.009412025,0.0022238577,0.000641123,0.00070207805,0.0005273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060518747,0.0007844166,0.0012668939,0.0010539392,0.00059339165,0.0035915796,0.0016958863,0.0017527329,0.0067424728],"category_scores_gemma":[0.02201654,0.00056889356,0.0013640248,0.0011105944,0.0019810023,0.003397521,0.0014644628,0.0025201603,0.0005317544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005532978,0.00017897434,0.09788888,0.00016428716,0.0003768688,0.0006315676,0.0012216698,0.60601735,0.0013942465,0.25708324,0.0014382247,0.033051405],"study_design_scores_gemma":[0.000058993977,0.00014480327,0.0212789,0.00003947997,0.000093341456,0.000111788635,0.00032308328,0.8734568,0.00037841234,0.10216158,0.0019026344,0.00005015892],"about_ca_topic_score_codex":0.012374864,"about_ca_topic_score_gemma":0.0074031577,"teacher_disagreement_score":0.012374864,"about_ca_system_score_codex":0.0030023998,"about_ca_system_score_gemma":0.0014688846,"threshold_uncertainty_score":0.032005727},"labels":[],"label_agreement":null},{"id":"W2162022588","doi":"10.1093/rof/rfr007","title":"An Examination of Mutual Fund Timing Ability Using Monthly Holdings Data","year":2011,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Market timing; Econometrics; Mutual fund; Index (typography); Economics; Range (aeronautics); Actuarial science; Computer science; Finance; Initial public offering; Engineering","score_opus":0.3248049809501067,"score_gpt":0.297008511749621,"score_spread":0.027796469200485674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162022588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969813,0.000110128654,0.0006440034,0.00006168851,0.000005639858,0.0000067088963,0.00056010066,0.00002077672,0.0016097481],"genre_scores_gemma":[0.9985557,0.000050095732,0.00032100076,0.0000062031677,0.000017762672,0.0000039031174,0.00079520576,0.0000043354717,0.00024582402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820113,0.00053412543,0.00026504623,0.00017836703,0.0006263825,0.00019499943],"domain_scores_gemma":[0.94207895,0.018368613,0.033325855,0.0021296984,0.0028662567,0.0012307529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004463087,0.00020811711,0.00030926487,0.0037294345,0.0002171248,0.0012381485,0.00030504953,0.00032201686,0.0024030188],"category_scores_gemma":[0.032905847,0.00011820402,0.00035679748,0.004444057,0.00022774625,0.0011429753,0.00074446585,0.0003096543,0.0003596276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016561341,0.000060726103,0.9843332,0.000032932057,0.000109349414,0.00009484863,0.00023261162,0.0012694116,0.0005362964,0.0006592734,0.00048283796,0.012022778],"study_design_scores_gemma":[0.000007368508,0.00014741303,0.9920563,0.000013295518,0.00005094929,0.00015643041,0.00024057552,0.0051129,0.00073499867,0.00032957902,0.0011369409,0.000013295875],"about_ca_topic_score_codex":0.00539952,"about_ca_topic_score_gemma":0.0042144293,"teacher_disagreement_score":0.00539952,"about_ca_system_score_codex":0.0004693224,"about_ca_system_score_gemma":0.0003289199,"threshold_uncertainty_score":0.02360338},"labels":[],"label_agreement":null},{"id":"W2162344702","doi":"10.1111/jfir.12046","title":"INTERNATIONAL STOCK MARKET COMOVEMENT AND NEWS","year":2014,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Stock market; Stock (firearms); Capitalization; Market capitalization; Economics; Explanatory power; Monetary economics; Econometrics; Financial economics","score_opus":0.082276087166728,"score_gpt":0.3094513016730705,"score_spread":0.22717521450634248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162344702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736231,0.0030827187,0.00187854,0.00085100357,0.00009240027,0.000024697745,0.0037447477,0.00010529442,0.01659757],"genre_scores_gemma":[0.9967615,0.00061065494,0.00015356293,0.000035584402,0.00012358843,0.000004876149,0.0016637287,0.00001019167,0.0006364308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992292,0.00014436715,0.00011797016,0.000118906064,0.00030222026,0.00008739417],"domain_scores_gemma":[0.9831943,0.004886097,0.008560855,0.0009484022,0.001765535,0.0006447093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014475535,0.0003519536,0.0006515222,0.004981712,0.0003002151,0.0027545465,0.00029706836,0.00039032914,0.0036351695],"category_scores_gemma":[0.015305419,0.00013354042,0.00032538743,0.008234146,0.0004609213,0.0016754902,0.00078813365,0.00055736135,0.00067564286],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024058421,0.00011466978,0.94977075,0.00012546347,0.00040061877,0.0006091191,0.00047642604,0.003722453,0.0010001148,0.005258725,0.0035892883,0.034691732],"study_design_scores_gemma":[0.000018997996,0.00007498491,0.975577,0.00006196461,0.0001464464,0.00034343087,0.00062569004,0.009936961,0.0012284045,0.0058831135,0.006072009,0.000030974137],"about_ca_topic_score_codex":0.002422334,"about_ca_topic_score_gemma":0.0014451431,"teacher_disagreement_score":0.004981712,"about_ca_system_score_codex":0.00048431812,"about_ca_system_score_gemma":0.00014811275,"threshold_uncertainty_score":0.012160838},"labels":[],"label_agreement":null},{"id":"W2162404865","doi":"","title":"Herd Behavior in Efficient Financial Markets","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Herding; Herd behavior; Herd; Economics; Financial economics; Financial market; Microeconomics; Econometrics; Finance; Geography","score_opus":0.037282109288019616,"score_gpt":0.27716100269341926,"score_spread":0.23987889340539964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162404865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84388995,0.00046546033,0.14721276,0.0012176925,0.000019697696,0.00004190949,0.00010858289,0.00015539667,0.0068884916],"genre_scores_gemma":[0.9936014,0.0001466126,0.0053572604,0.00006594591,0.00002072869,0.000019012863,0.000031314106,0.000009287717,0.0007484155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989662,0.00036684235,0.00007759963,0.00020476525,0.00018986645,0.00019475195],"domain_scores_gemma":[0.9914442,0.004523337,0.0024675322,0.0008246279,0.00040310138,0.00033713193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025781963,0.00026407817,0.00086586183,0.0007915251,0.0005724999,0.0017342451,0.000660422,0.001601947,0.0016515763],"category_scores_gemma":[0.017457355,0.0004909823,0.0006040317,0.00042912317,0.0020627012,0.0035781765,0.0009349639,0.0007989198,0.00015470259],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001831313,0.00013855628,0.018972877,0.00018446839,0.00020277555,0.00075923593,0.00076501817,0.14232264,0.0064582676,0.81079495,0.0018236847,0.017394356],"study_design_scores_gemma":[0.000065145374,0.00007798159,0.0062405565,0.000025005216,0.000030796098,0.00023769584,0.00013072816,0.40063775,0.0005673887,0.5912364,0.00071822846,0.00003237842],"about_ca_topic_score_codex":0.001327521,"about_ca_topic_score_gemma":0.00079910294,"teacher_disagreement_score":0.0025781963,"about_ca_system_score_codex":0.00082882715,"about_ca_system_score_gemma":0.000509065,"threshold_uncertainty_score":0.01363498},"labels":[],"label_agreement":null},{"id":"W2162437405","doi":"10.2139/ssrn.1571299","title":"CAPM for Estimating the Cost of Equity Capital: Interpreting the Empirical Evidence","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Capital asset pricing model; Cost of capital; Economics; Cost of equity; Financial economics; Equity (law); Econometrics; Microeconomics","score_opus":0.10964864604342643,"score_gpt":0.3227957466642306,"score_spread":0.21314710062080416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162437405","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11885232,0.014109688,0.8251132,0.007169082,0.0007391999,0.00031093208,0.0032084389,0.0015024261,0.028994739],"genre_scores_gemma":[0.7671242,0.0026475005,0.22120576,0.00072604464,0.0007173232,0.00039931864,0.0015740483,0.00037765794,0.005228157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9964844,0.002376367,0.00010660619,0.0003011924,0.0005750767,0.00015639474],"domain_scores_gemma":[0.9512058,0.042259853,0.0023758097,0.0021332223,0.0016901616,0.00033523014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008038463,0.00086744403,0.0012678148,0.003750486,0.0005954689,0.0030254708,0.0016374906,0.0020099843,0.0090963645],"category_scores_gemma":[0.078955166,0.000514092,0.0007538332,0.004629496,0.0008959392,0.0032566509,0.0012043042,0.0024111576,0.0010746282],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002830064,0.00013276386,0.04231326,0.00091531355,0.00043500098,0.00025184534,0.00020159369,0.26409918,0.00063042867,0.323391,0.05628894,0.31105784],"study_design_scores_gemma":[0.000042354306,0.0000698206,0.009210248,0.00023642697,0.000094479874,0.00016892808,0.000114666356,0.7457798,0.00094421103,0.23081051,0.012487448,0.00004111005],"about_ca_topic_score_codex":0.010253954,"about_ca_topic_score_gemma":0.006416978,"teacher_disagreement_score":0.010253954,"about_ca_system_score_codex":0.0019497566,"about_ca_system_score_gemma":0.002143025,"threshold_uncertainty_score":0.04251194},"labels":[],"label_agreement":null},{"id":"W2162506599","doi":"10.2139/ssrn.2182628","title":"Cost of Capital Dynamics Implied by Firm Fundamentals","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Capital (architecture); Dynamics (music); Cost of capital; Business; Econometrics; Industrial organization; Monetary economics; Financial economics; Microeconomics; Incentive; Psychology; Geography","score_opus":0.018340705699789128,"score_gpt":0.22242058886789462,"score_spread":0.2040798831681055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162506599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9437163,0.00064489327,0.036186043,0.0029122874,0.000057731686,0.000029549967,0.00089176354,0.000115684525,0.015445913],"genre_scores_gemma":[0.99619126,0.00025087915,0.0009487223,0.00003483605,0.000028801136,0.000006599115,0.00012220684,0.000011018162,0.0024055943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996867,0.00006983684,0.00002009853,0.00006754638,0.00007272306,0.000083110244],"domain_scores_gemma":[0.9910466,0.006600181,0.0011460319,0.0004918351,0.00036705792,0.00034833688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012213611,0.0003317726,0.0006653303,0.0006486557,0.0002588671,0.0024630914,0.0008756588,0.0015256766,0.006279143],"category_scores_gemma":[0.016203769,0.0005397697,0.00041242345,0.0007938456,0.0007057058,0.0040565836,0.0006291464,0.0019955225,0.00038517674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037029551,0.00015869764,0.043879885,0.00023215389,0.00013286316,0.0011330956,0.00036512277,0.44249284,0.005972944,0.46992707,0.005448676,0.029886363],"study_design_scores_gemma":[0.00004974146,0.00008544171,0.039473265,0.000033536606,0.00007958326,0.00051724294,0.00016465441,0.8160242,0.00085327827,0.14144136,0.0012120021,0.000065687535],"about_ca_topic_score_codex":0.002671466,"about_ca_topic_score_gemma":0.0024867319,"teacher_disagreement_score":0.006279143,"about_ca_system_score_codex":0.0011854989,"about_ca_system_score_gemma":0.00050386577,"threshold_uncertainty_score":0.02100581},"labels":[],"label_agreement":null},{"id":"W216302672","doi":"","title":"The Fading Day-of-the-Week Effect in Developed Equity Markets","year":2003,"lang":"en","type":"article","venue":"Journal of international business research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Weekend effect; Names of the days of the week; Equity (law); Economics; Monetary economics; Demographic economics; Demography; Medicine; Physics","score_opus":0.11144999815306839,"score_gpt":0.34762514932213,"score_spread":0.23617515116906163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W216302672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947877,0.00047758955,0.0005315251,0.0002561658,0.000011452461,0.0000099853,0.00017260169,0.00001381017,0.0037390906],"genre_scores_gemma":[0.9995671,0.00010329531,0.000049559978,0.00003084871,0.000011226,0.0000012094148,0.000040631814,0.0000022894978,0.00019390511],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997155,0.00006470511,0.00002068076,0.000065759676,0.000060821065,0.000072516275],"domain_scores_gemma":[0.99502975,0.0013143958,0.0024387133,0.0003138397,0.0003662571,0.000536995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011524854,0.00015038675,0.0002868448,0.0009327537,0.00031340183,0.0010956952,0.00028010388,0.0003206316,0.0030375577],"category_scores_gemma":[0.005350032,0.00015281801,0.0003018654,0.0008270327,0.00097360404,0.0008802954,0.0006788546,0.0006589043,0.00026094116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000667415,0.00014824407,0.95766366,0.00007117714,0.00015081285,0.0006358053,0.0008309445,0.002569617,0.0035801604,0.0077701984,0.001861736,0.024050161],"study_design_scores_gemma":[0.000014652855,0.000082115504,0.9926432,0.000010063616,0.00003342726,0.00009322164,0.00028400467,0.0028465518,0.000512967,0.002315547,0.001149982,0.000014384415],"about_ca_topic_score_codex":0.006814277,"about_ca_topic_score_gemma":0.0059277327,"teacher_disagreement_score":0.006814277,"about_ca_system_score_codex":0.0006679571,"about_ca_system_score_gemma":0.00033466888,"threshold_uncertainty_score":0.013549209},"labels":[],"label_agreement":null},{"id":"W2163581942","doi":"10.2139/ssrn.1915649","title":"Rational Information Leakage","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Leakage (economics); Information leakage; Computer science; Computer security; Economics","score_opus":0.02217902894532143,"score_gpt":0.1855803692444814,"score_spread":0.16340134029915998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163581942","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10764844,0.0026142797,0.44168958,0.03709844,0.0009868126,0.00022353964,0.00089374086,0.00086191134,0.40798324],"genre_scores_gemma":[0.9341356,0.0012644404,0.013901616,0.0021539442,0.00069392275,0.00011069502,0.00019531278,0.00013176889,0.047412764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978115,0.0008030307,0.00013644395,0.0003755576,0.00060126506,0.0002722242],"domain_scores_gemma":[0.9862898,0.008549781,0.0011011133,0.002614038,0.0010966908,0.0003485731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002768134,0.000732548,0.00096853916,0.0011374652,0.0008102715,0.004764608,0.0008365828,0.0034597125,0.016139064],"category_scores_gemma":[0.02654708,0.0005517364,0.0008169961,0.00088336354,0.0027552224,0.009008697,0.002243772,0.00330621,0.0023680169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047265767,0.000022038386,0.00020039854,0.00004906081,0.000021532713,0.00009703079,0.000098009354,0.0024566532,0.00029073487,0.98438394,0.004382589,0.007950646],"study_design_scores_gemma":[0.000011987241,0.000008602451,0.00006948851,0.000014337713,0.000010556401,0.0000837271,0.000022789412,0.013014269,0.000215286,0.9842658,0.0022765433,0.00000658375],"about_ca_topic_score_codex":0.00049910456,"about_ca_topic_score_gemma":0.00027379632,"teacher_disagreement_score":0.016139064,"about_ca_system_score_codex":0.0013769404,"about_ca_system_score_gemma":0.00094517274,"threshold_uncertainty_score":0.053990543},"labels":[],"label_agreement":null},{"id":"W2163730503","doi":"","title":"Revenues, Profitability, and Returns: Clinical Analysis of the Market for Mobster Films","year":2004,"lang":"en","type":"article","venue":"International journal of business and economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Profitability index; Revenue; Web syndication; Investment (military); Renting; Production (economics); Economics; Distribution (mathematics); Econometrics; Business; Monetary economics; Finance; Microeconomics; Venture capital; Mathematics","score_opus":0.042709158110478075,"score_gpt":0.2666205375279593,"score_spread":0.2239113794174812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163730503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958866,0.0004847651,0.00038212145,0.00022195105,0.0000027127103,0.000026086253,0.0005952077,0.000009153643,0.0023913358],"genre_scores_gemma":[0.99838746,0.00018219241,0.00015621506,0.000013960446,0.000012481548,0.0000089167415,0.0006296563,0.0000033551178,0.0006057428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965537,0.00013855826,0.000019969662,0.000036083537,0.00009819331,0.000051811297],"domain_scores_gemma":[0.9899136,0.006387352,0.0025656144,0.00020576076,0.00041801223,0.00050975697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012580844,0.00021721446,0.00025190462,0.0016911888,0.00025867415,0.0010086001,0.0003415027,0.00042777415,0.004233613],"category_scores_gemma":[0.015328146,0.0001232638,0.00028096483,0.0013682839,0.00048189427,0.001004793,0.0005599385,0.00060422573,0.0006306806],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006845663,0.00031547318,0.9544897,0.00007034636,0.00010356202,0.00096493744,0.00046388767,0.0051958156,0.0006095711,0.0032947592,0.0023677265,0.03143961],"study_design_scores_gemma":[0.00003733447,0.00033518832,0.97320247,0.00002550359,0.000039326398,0.0007924161,0.00085084356,0.01878217,0.00045636023,0.0025596828,0.002898322,0.000020477042],"about_ca_topic_score_codex":0.00409438,"about_ca_topic_score_gemma":0.0032096487,"teacher_disagreement_score":0.004233613,"about_ca_system_score_codex":0.00070544524,"about_ca_system_score_gemma":0.00030152022,"threshold_uncertainty_score":0.014162779},"labels":[],"label_agreement":null},{"id":"W2163851055","doi":"10.1111/irfi.12016","title":"Is Firm‐specific Return Variation a Measure of Information Efficiency?","year":2013,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"North York General Hospital; York University","funders":"","keywords":"Variation (astronomy); Proxy (statistics); Stock (firearms); Business; Private information retrieval; Metropolitan area; Economics; Econometrics; Financial economics; Statistics","score_opus":0.02349214259040928,"score_gpt":0.2255309753846269,"score_spread":0.20203883279421764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163851055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95697844,0.0041951505,0.027987389,0.0013487856,0.000048081354,0.000044615383,0.0010466992,0.00009954056,0.008251289],"genre_scores_gemma":[0.9984084,0.00029683337,0.0007024857,0.000059957103,0.000047403653,0.0000087633525,0.00024147233,0.0000051782135,0.00022960661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99601597,0.0014260282,0.00050842913,0.0008222704,0.0009797706,0.0002475505],"domain_scores_gemma":[0.8671589,0.06983698,0.046371587,0.011375999,0.0040264237,0.0012301472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007255846,0.00029318215,0.0012040804,0.0030528507,0.00020963729,0.0027498023,0.00090087275,0.0010350711,0.0018028772],"category_scores_gemma":[0.06229267,0.000291858,0.00054971257,0.004793488,0.0014165295,0.0032146364,0.00092861184,0.00074917905,0.00035729393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023192054,0.00018892951,0.91919684,0.00023239882,0.0016406858,0.00023717099,0.0003289967,0.017597878,0.0019647218,0.01585123,0.0013863243,0.04114279],"study_design_scores_gemma":[0.000024446024,0.00025465473,0.9302186,0.00009017903,0.00034828493,0.0005307349,0.00047255188,0.024041358,0.0021274695,0.03962339,0.0021941299,0.0000742853],"about_ca_topic_score_codex":0.001352758,"about_ca_topic_score_gemma":0.0009929796,"teacher_disagreement_score":0.007255846,"about_ca_system_score_codex":0.0007098814,"about_ca_system_score_gemma":0.00033588335,"threshold_uncertainty_score":0.038373053},"labels":[],"label_agreement":null},{"id":"W2163979798","doi":"10.2139/ssrn.2397805","title":"Optimal Execution with Limit and Market Orders","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Limit (mathematics); Computer science; Business; Mathematics; Mathematical analysis","score_opus":0.007834618630994059,"score_gpt":0.17653605458445482,"score_spread":0.16870143595346077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163979798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5224302,0.00057913637,0.45092747,0.0025068503,0.0002145414,0.00013398055,0.0002661573,0.0007278074,0.022213848],"genre_scores_gemma":[0.9627717,0.00016670742,0.029668825,0.000059361373,0.00007173362,0.000059850005,0.00010066404,0.000083747764,0.007017306],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987501,0.00046505907,0.000100272,0.00017214671,0.00022839755,0.0002840535],"domain_scores_gemma":[0.99110997,0.0059412764,0.00084553205,0.00059479685,0.000625766,0.0008827206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024820876,0.0007916277,0.0014062003,0.00065360626,0.0005973735,0.0030702308,0.0010186586,0.0017313535,0.005561039],"category_scores_gemma":[0.01721056,0.00076333305,0.00044330402,0.0007072129,0.0012309895,0.00327088,0.0014125945,0.0014435573,0.00048414158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018156704,0.0003767603,0.0019635449,0.00014440293,0.000056786364,0.00036879964,0.00021500098,0.752379,0.0035787208,0.20090108,0.0028784655,0.03532188],"study_design_scores_gemma":[0.00005631662,0.00007025092,0.00021583859,0.000010989689,0.00000848157,0.000020772528,0.00002351913,0.93405783,0.0006669072,0.06453239,0.00032718616,0.000009639491],"about_ca_topic_score_codex":0.0019750427,"about_ca_topic_score_gemma":0.0014152196,"teacher_disagreement_score":0.005561039,"about_ca_system_score_codex":0.0010648805,"about_ca_system_score_gemma":0.0020591423,"threshold_uncertainty_score":0.018603504},"labels":[],"label_agreement":null},{"id":"W2164191095","doi":"10.5430/afr.v2n1p61","title":"Stock Price Behavior around Extreme Trading Volumes","year":2013,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contrarian; Stock (firearms); Volatility (finance); Economics; Skewness; Econometrics; Financial economics; Trading strategy; Monetary economics; Geography","score_opus":0.12543548659406278,"score_gpt":0.29558401595901324,"score_spread":0.17014852936495045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164191095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986255,0.000024010267,0.00055920286,0.00002326092,0.0000017658002,0.0000019154643,0.000026858546,0.000010749541,0.00072682137],"genre_scores_gemma":[0.999765,0.000008442353,0.000073824405,0.0000045041593,0.0000032545995,8.8119356e-7,0.000040113908,0.0000018373815,0.00010228012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998017,0.000038282305,0.000015391963,0.00004735708,0.00005535743,0.000042020918],"domain_scores_gemma":[0.99584574,0.0019720553,0.0013140022,0.00022087563,0.00026147187,0.0003858327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045637944,0.00012831554,0.00024718101,0.0008234442,0.00013536206,0.00085379137,0.0002331772,0.00040723017,0.001638495],"category_scores_gemma":[0.0066106566,0.00015600258,0.0001735564,0.00049624994,0.0003548791,0.0006936805,0.0004059867,0.00041920427,0.00027009906],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009897789,0.00017611681,0.92042947,0.00003594909,0.00016823881,0.0012552391,0.0008983439,0.016818997,0.029565604,0.0057991985,0.0005537181,0.023309499],"study_design_scores_gemma":[0.000016282249,0.00025307914,0.95511216,0.000014313903,0.000028691531,0.00076625176,0.00033663944,0.037518755,0.0020333016,0.0035578834,0.00032553292,0.0000370468],"about_ca_topic_score_codex":0.000876235,"about_ca_topic_score_gemma":0.00067057833,"teacher_disagreement_score":0.001638495,"about_ca_system_score_codex":0.00018386729,"about_ca_system_score_gemma":0.000078481586,"threshold_uncertainty_score":0.0054813623},"labels":[],"label_agreement":null},{"id":"W2164260136","doi":"10.5539/ibr.v5n11p43","title":"Momentum Returns in Tehran Stock Exchange: The Influences of Size and Liquidity","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Stock exchange; Profitability index; Stock (firearms); Momentum (technical analysis); Monetary economics; Economics; Business; Financial economics; Econometrics; Finance; Geography","score_opus":0.11790222275498596,"score_gpt":0.3401328081841068,"score_spread":0.22223058542912083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164260136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99952066,0.0000521431,0.000016106616,0.000039899016,0.000002452215,0.0000019715983,0.000044045322,0.000001529315,0.00032114767],"genre_scores_gemma":[0.9997255,0.0000360679,0.00001441406,0.0000061924497,0.000008001682,0.000001123073,0.00010080295,6.089736e-7,0.00010730521],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971503,0.000042858213,0.000030897503,0.00003955199,0.000107536216,0.000064180305],"domain_scores_gemma":[0.9973348,0.0005534767,0.0014652134,0.000073490184,0.00026060225,0.00031240284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006169104,0.00026826662,0.00018903468,0.001056621,0.00021403383,0.00083838037,0.000219594,0.00031301874,0.0011275648],"category_scores_gemma":[0.0025217182,0.000092675655,0.00025346116,0.0006930884,0.00028793144,0.00075102574,0.0003682298,0.00038524118,0.00018817633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016656297,0.00007432786,0.9945562,0.000006248259,0.000030512589,0.0003424843,0.00017405466,0.000280025,0.00048432298,0.00009523447,0.00014708357,0.003642908],"study_design_scores_gemma":[0.0000035707285,0.00005831306,0.99905723,0.0000015635788,0.000007876723,0.000063934465,0.00017623065,0.00041050283,0.0001004382,0.00002774932,0.00009010317,0.0000024499795],"about_ca_topic_score_codex":0.0063869106,"about_ca_topic_score_gemma":0.009027396,"teacher_disagreement_score":0.0063869106,"about_ca_system_score_codex":0.0005332469,"about_ca_system_score_gemma":0.00033385213,"threshold_uncertainty_score":0.012699485},"labels":[],"label_agreement":null},{"id":"W2164604101","doi":"10.1111/0022-1082.00249","title":"Price Discovery without Trading: Evidence from the Nasdaq Preopening","year":2000,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":243,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Price discovery; Underwriting; Business; Initial public offering; Financial economics; Monetary economics; Market maker; Economics; Finance; Stock market","score_opus":0.04524409279165162,"score_gpt":0.23099517034403969,"score_spread":0.18575107755238807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164604101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903779,0.0003385186,0.00042195164,0.00044246876,0.000031765052,0.000039578645,0.00032967757,0.000019450152,0.007998677],"genre_scores_gemma":[0.997122,0.0003190555,0.00028049533,0.00018363363,0.0000781017,0.000025901618,0.000618623,0.000014006989,0.0013581706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99726474,0.0006386021,0.00023343651,0.00039700934,0.0010758092,0.00039043254],"domain_scores_gemma":[0.90366524,0.041768875,0.038828034,0.0053517437,0.005995315,0.0043906774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045980085,0.0002518489,0.00051715196,0.0009804047,0.0013328411,0.0029953811,0.0009442479,0.0015178858,0.0044998406],"category_scores_gemma":[0.048982035,0.00043516114,0.00026304112,0.0011797948,0.0015462155,0.0026866281,0.0018287565,0.002105583,0.0014377731],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006562231,0.0037257485,0.8902712,0.00028670247,0.00025968018,0.0014500561,0.006760828,0.0010416092,0.0057170624,0.006784381,0.005662702,0.0714778],"study_design_scores_gemma":[0.00016639307,0.0011569858,0.98418856,0.00004581185,0.00005758068,0.00037441158,0.002805908,0.0011522899,0.0016723744,0.0023283889,0.0059934,0.000057966252],"about_ca_topic_score_codex":0.0070679206,"about_ca_topic_score_gemma":0.0060547143,"teacher_disagreement_score":0.0070679206,"about_ca_system_score_codex":0.00056389783,"about_ca_system_score_gemma":0.0008440249,"threshold_uncertainty_score":0.024316847},"labels":[],"label_agreement":null},{"id":"W2165688671","doi":"10.1023/b:redr.0000031174.07795.51","title":"A Model of the Convenience Yields in On-the-Run Treasuries","year":2004,"lang":"en","type":"article","venue":"Review of Derivatives Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Bond; Yield (engineering); Treasury; Economics; Monetary economics; Yield curve; Arbitrage; Economic shortage; Interest rate; Horizon; Convenience yield; Econometrics; Financial economics; Futures contract; Spot contract; Mathematics; Finance","score_opus":0.21765396732312894,"score_gpt":0.33786803584458774,"score_spread":0.1202140685214588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165688671","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24407186,0.0085101025,0.48997986,0.021838345,0.0008622994,0.00026056764,0.0034853523,0.0011142236,0.22987746],"genre_scores_gemma":[0.84676236,0.0045054397,0.015972396,0.000439986,0.00058644527,0.00018676967,0.0006290457,0.00028025632,0.13063738],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930406,0.0002609413,0.00003365558,0.00013140136,0.000112934846,0.00015699412],"domain_scores_gemma":[0.9982488,0.0008766933,0.00024172285,0.00011906421,0.00024089852,0.00027287254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001776614,0.0013322865,0.0022742255,0.0010720147,0.001745276,0.00574884,0.0036614258,0.006071744,0.013952142],"category_scores_gemma":[0.0072524985,0.0016137034,0.001974461,0.002051707,0.002734793,0.0058547044,0.0018136995,0.004801076,0.002008336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006488652,0.00006222224,0.0005517598,0.00005380687,0.000026217298,0.0003095474,0.00015023926,0.24813415,0.0005347816,0.7419963,0.0050595715,0.0030565488],"study_design_scores_gemma":[0.00008790752,0.000048870268,0.0006243695,0.000032134223,0.0000480299,0.00017402388,0.00007354383,0.7421841,0.00019930901,0.252015,0.004449519,0.00006302174],"about_ca_topic_score_codex":0.035408445,"about_ca_topic_score_gemma":0.019287823,"teacher_disagreement_score":0.035408445,"about_ca_system_score_codex":0.0035682977,"about_ca_system_score_gemma":0.0033309194,"threshold_uncertainty_score":0.07040465},"labels":[],"label_agreement":null},{"id":"W2165842502","doi":"10.3905/jpm.2011.37.4.086","title":"Average Stock Variance and Market Returns: <i>Evidence of Time-Varying Predictability at the</i><i>Daily Frequency</i>","year":2011,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Predictability; Market timing; Econometrics; Economics; Stock market; Stock (firearms); Business cycle; Variance (accounting); Financial market; Heteroscedasticity; Financial economics; Finance; Statistics; Mathematics","score_opus":0.033802316623259124,"score_gpt":0.21140419732133553,"score_spread":0.17760188069807642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165842502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853644,0.0010420594,0.008035462,0.00093846733,0.000038739105,0.000005173452,0.0003992619,0.00007412894,0.004102226],"genre_scores_gemma":[0.99865735,0.00023282313,0.00050347694,0.000047633024,0.000048199603,0.0000017642271,0.0002477118,0.000008501718,0.00025245541],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975735,0.00006275598,0.00001729881,0.000069721646,0.000055827444,0.000037101425],"domain_scores_gemma":[0.9908503,0.0046482724,0.0026100136,0.001002151,0.0005237917,0.00036552554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010035707,0.00029376018,0.0002893495,0.0012252523,0.00016798846,0.0012068914,0.00046726078,0.0006986171,0.002348433],"category_scores_gemma":[0.010565293,0.00027556115,0.00038660978,0.0016694901,0.0005016051,0.0012753245,0.0005581024,0.0007741436,0.00034061683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006185148,0.0003112871,0.8746769,0.0001345404,0.00087431027,0.00037969576,0.00029781423,0.022398803,0.0053448547,0.013995102,0.0035454002,0.07742287],"study_design_scores_gemma":[0.00003129603,0.00019652216,0.88161236,0.00003371631,0.0001461832,0.00030269328,0.0001624714,0.09227346,0.002137323,0.021526325,0.0015103478,0.00006717757],"about_ca_topic_score_codex":0.0035610907,"about_ca_topic_score_gemma":0.0028841456,"teacher_disagreement_score":0.0035610907,"about_ca_system_score_codex":0.00027272088,"about_ca_system_score_gemma":0.00020640691,"threshold_uncertainty_score":0.00785625},"labels":[],"label_agreement":null},{"id":"W2166102065","doi":"10.1111/j.1540-5982.2011.01659.x","title":"Risk aversion, exchange‐rate uncertainty, and the law of one price: insights from the market for online air‐travel tickets","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Law of one price; Purchasing power parity; Exchange rate; Risk aversion (psychology); Econometrics; Homogeneous; Interest rate parity; Foreign exchange market; Foreign exchange; Financial economics; Monetary economics; Price level; Expected utility hypothesis; Mid price; Mathematics","score_opus":0.1175667111199299,"score_gpt":0.16904514924885825,"score_spread":0.05147843812892834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166102065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901426,0.00030886303,0.0042256736,0.0009761364,0.0000060679836,0.000008668881,0.00024521572,0.0000142002355,0.004072671],"genre_scores_gemma":[0.999126,0.00012125171,0.0004199254,0.000029444333,0.000010949578,0.000002445834,0.000059289356,0.0000020061748,0.00022862476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983966,0.00007319336,0.000009662441,0.000017510542,0.00003978949,0.000020155394],"domain_scores_gemma":[0.9903594,0.007633926,0.0013444873,0.00024359407,0.00023715424,0.00018133128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011443691,0.00014919342,0.00044880883,0.0008258173,0.00029397648,0.001719685,0.00031166474,0.00047647636,0.0048894454],"category_scores_gemma":[0.007583217,0.0001642708,0.00027891056,0.0008184864,0.00076366804,0.0017047394,0.00045174043,0.00094632164,0.00021222484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012956299,0.0010026508,0.39633352,0.00038367786,0.00037625723,0.0022815985,0.0031538454,0.16172281,0.005500344,0.34532452,0.008232337,0.07439285],"study_design_scores_gemma":[0.00016405592,0.00023721177,0.23438369,0.0000839863,0.00013587634,0.00053162134,0.0030425005,0.41818693,0.0016788453,0.3365699,0.0048536165,0.00013177475],"about_ca_topic_score_codex":0.0052429456,"about_ca_topic_score_gemma":0.004442266,"teacher_disagreement_score":0.0052429456,"about_ca_system_score_codex":0.00046556818,"about_ca_system_score_gemma":0.00028311412,"threshold_uncertainty_score":0.016356885},"labels":[],"label_agreement":null},{"id":"W2166644691","doi":"","title":"Idiosyncratic Volatility, Momentum, Liquidity, and Expected Stock Returns in Developed and Emerging Markets","year":2015,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Market liquidity; Volatility (finance); Stock (firearms); Financial economics; Economics; Emerging markets; Monetary economics; Capital asset pricing model; Business; Finance; Geography","score_opus":0.06974419876819575,"score_gpt":0.29316244582949597,"score_spread":0.2234182470613002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166644691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99855644,0.00031479375,0.0004552094,0.00004880629,0.0000018453095,0.0000025408212,0.00005075003,0.0000026033933,0.0005670056],"genre_scores_gemma":[0.9995789,0.00014931637,0.000073986994,0.000007182478,0.0000069830735,0.0000011246274,0.00009555636,8.2567186e-7,0.00008604031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997944,0.00005875088,0.000022947092,0.0000351769,0.000041974592,0.00004672897],"domain_scores_gemma":[0.994936,0.0020070665,0.0021678065,0.000212909,0.0002592688,0.00041692477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012683469,0.0002572082,0.00031270375,0.0012882776,0.0002021568,0.0012394866,0.00021351449,0.00030349637,0.0005058684],"category_scores_gemma":[0.0069341124,0.000132189,0.00036474655,0.0011890291,0.00050589856,0.0014810693,0.00066735805,0.00051908294,0.00007942814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011052473,0.000052250223,0.9886016,0.000014709867,0.00014854613,0.00027694457,0.00017250939,0.0027009326,0.00038867362,0.0016577374,0.00011597947,0.0057596467],"study_design_scores_gemma":[0.000008989301,0.00005409978,0.9894294,0.000009058302,0.00003785359,0.00015711527,0.00015213995,0.007378812,0.00022632671,0.0023524158,0.00018569481,0.000008086426],"about_ca_topic_score_codex":0.0031828254,"about_ca_topic_score_gemma":0.0047861054,"teacher_disagreement_score":0.0031828254,"about_ca_system_score_codex":0.00038539086,"about_ca_system_score_gemma":0.00027442616,"threshold_uncertainty_score":0.006707728},"labels":[],"label_agreement":null},{"id":"W2166918815","doi":"10.3390/jrfm7020045","title":"International Diversification Versus Domestic Diversification: Mean-Variance Portfolio Optimization and Stochastic Dominance Approaches","year":2014,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Université de Sfax; Chinese University of Hong Kong; Hong Kong Baptist University","keywords":"Diversification (marketing strategy); Stochastic dominance; Portfolio; Financial economics; Arbitrage; Economics; Business; Econometrics","score_opus":0.028381710902435287,"score_gpt":0.2046310309738479,"score_spread":0.1762493200714126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166918815","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19349357,0.0020658788,0.77360064,0.0011902186,0.000086025844,0.00008543221,0.00009162025,0.000050139446,0.02933654],"genre_scores_gemma":[0.96457326,0.0009493756,0.031011771,0.0001639352,0.00013949096,0.00008400872,0.0000777787,0.00002287067,0.0029774948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980565,0.0012392371,0.000055817945,0.00014806408,0.00032530935,0.00017511823],"domain_scores_gemma":[0.99447143,0.0044153095,0.00044937816,0.00013714217,0.0003210064,0.00020571896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037503468,0.000913472,0.0012377853,0.0010809998,0.0004091558,0.0017666178,0.0006693058,0.00075487886,0.0022984475],"category_scores_gemma":[0.011672583,0.0002996132,0.0011042978,0.00085756724,0.0010098794,0.0020790703,0.0011797346,0.0011958503,0.00013585563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018197422,0.00013267054,0.010297729,0.00016769384,0.00033833086,0.0002501924,0.0002231984,0.39291063,0.0014927288,0.5197476,0.0016422131,0.07261508],"study_design_scores_gemma":[0.000026835734,0.00013126044,0.0028350053,0.00003810466,0.000048052443,0.00012191536,0.00014169836,0.6987005,0.00036164623,0.296248,0.0013185168,0.000028457021],"about_ca_topic_score_codex":0.0010312884,"about_ca_topic_score_gemma":0.00085946545,"teacher_disagreement_score":0.0037503468,"about_ca_system_score_codex":0.0009165721,"about_ca_system_score_gemma":0.0007303697,"threshold_uncertainty_score":0.019833982},"labels":[],"label_agreement":null},{"id":"W2167700083","doi":"10.5539/ijef.v3n1p55","title":"Dynamic multibeta macroeconomic asset pricing model at NAFTA stock markets","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Emerging markets; Economics; Financial market; Financial economics; Market segmentation; Stock (firearms); Financial integration; Stock market; Variable pricing; Asset (computer security); Market integration; Monetary economics; Macroeconomics; Finance; Microeconomics","score_opus":0.03364562766871022,"score_gpt":0.22587086844740664,"score_spread":0.19222524077869643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167700083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6965966,0.0037792204,0.23870973,0.006627193,0.00038400016,0.00014226555,0.0012455126,0.00040142558,0.052114103],"genre_scores_gemma":[0.97702765,0.0011194558,0.0045939963,0.00013014162,0.00016126473,0.00009116664,0.00029780652,0.000023658815,0.016554845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996247,0.00016238882,0.000013053043,0.000071300274,0.000046531834,0.000081981314],"domain_scores_gemma":[0.9993242,0.0002633443,0.0001327952,0.000037379068,0.00014982413,0.00009245057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016929464,0.000818015,0.001241775,0.00082462555,0.0006214977,0.0034054369,0.0018073219,0.0021052654,0.0040748063],"category_scores_gemma":[0.0031390034,0.00046050537,0.001125251,0.00071709976,0.00082777976,0.0016396693,0.00087766646,0.0018882063,0.0006649731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026225936,0.0001487406,0.011869609,0.00008784353,0.00025684733,0.0011726889,0.00030160672,0.7335762,0.0013141963,0.23582515,0.004455013,0.010729898],"study_design_scores_gemma":[0.000026220237,0.000020094976,0.0015436731,0.000009280456,0.00003480302,0.00004665712,0.00003674407,0.9854366,0.000035479872,0.01235273,0.00044689348,0.000010829442],"about_ca_topic_score_codex":0.028231699,"about_ca_topic_score_gemma":0.011243283,"teacher_disagreement_score":0.028231699,"about_ca_system_score_codex":0.0011966029,"about_ca_system_score_gemma":0.0009168722,"threshold_uncertainty_score":0.05613476},"labels":[],"label_agreement":null},{"id":"W2167736636","doi":"10.2139/ssrn.694801","title":"Trading Around Macroeconomic Announcements: Are All Traders Created Equal?","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The King's University; Western University","funders":"","keywords":"Business; Economics; Monetary economics; Financial economics; Financial system; Finance","score_opus":0.03197718140887104,"score_gpt":0.22893297692796735,"score_spread":0.1969557955190963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167736636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63896114,0.009082914,0.021489453,0.07615302,0.0025224625,0.00009139863,0.0003205462,0.00028664866,0.25109243],"genre_scores_gemma":[0.989057,0.0010143379,0.0008522719,0.002054509,0.0007953964,0.000013113092,0.000070080874,0.000034603927,0.0061086407],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.996409,0.0014014713,0.00015513012,0.00059906126,0.0007453294,0.0006900129],"domain_scores_gemma":[0.9739673,0.011307957,0.005297065,0.0032317003,0.002170228,0.0040256763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044378084,0.00031942216,0.00097113184,0.0009856932,0.0012964952,0.009847615,0.0011782949,0.0033121502,0.013177084],"category_scores_gemma":[0.048834648,0.00037155894,0.00038097598,0.0007756375,0.0032606698,0.012654876,0.0022184236,0.0022478611,0.0020039587],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002093303,0.0009236513,0.11483453,0.0002818256,0.00052147,0.0005433512,0.0030546696,0.0028719222,0.001590399,0.36478424,0.036471453,0.4720293],"study_design_scores_gemma":[0.0002569476,0.00020722108,0.05807886,0.00019873842,0.0003750139,0.00077075354,0.003427481,0.006691686,0.0016126747,0.8871705,0.04112533,0.000084772495],"about_ca_topic_score_codex":0.0009853143,"about_ca_topic_score_gemma":0.0010747229,"teacher_disagreement_score":0.013177084,"about_ca_system_score_codex":0.0008596969,"about_ca_system_score_gemma":0.0012448367,"threshold_uncertainty_score":0.044081807},"labels":[],"label_agreement":null},{"id":"W2167800976","doi":"","title":"A Simple Theory of Asset Pricing under Model Uncertainty","year":2003,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Econometrics; Capital asset pricing model; Risk premium; Portfolio; General equilibrium theory; Variance (accounting); Equivalence (formal languages); Financial economics; Microeconomics; Mathematics","score_opus":0.048828846896328874,"score_gpt":0.2302732535002481,"score_spread":0.18144440660391922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167800976","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016728498,0.0012770916,0.9398746,0.004713536,0.00019862845,0.00006331948,0.00033018584,0.00019909402,0.036615085],"genre_scores_gemma":[0.8923654,0.004227713,0.07808569,0.0013680884,0.0016074964,0.00033850104,0.0003460683,0.00009131673,0.02156975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99900633,0.0003360407,0.00004650305,0.00015877088,0.000344074,0.00010841337],"domain_scores_gemma":[0.99734724,0.0016798178,0.00033850785,0.00033081108,0.0002240135,0.0000796232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024322027,0.00085490465,0.0010969694,0.000977458,0.0005147022,0.0036094545,0.0019041082,0.002449473,0.0076840804],"category_scores_gemma":[0.009434341,0.0004474886,0.0014748422,0.0013453471,0.0017244025,0.005721896,0.0015377026,0.0022872156,0.00095302094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004316345,0.000012752504,0.00018829759,0.00002953413,0.000015966265,0.000070235226,0.000052235475,0.030376175,0.0001100746,0.9636922,0.0009692587,0.0044789864],"study_design_scores_gemma":[0.000004265409,0.000009933068,0.000104598264,0.000011314251,0.000005114349,0.00005854525,0.000010641535,0.07304452,0.000031170133,0.9254654,0.0012467513,0.000007663604],"about_ca_topic_score_codex":0.0013896464,"about_ca_topic_score_gemma":0.00069547066,"teacher_disagreement_score":0.0076840804,"about_ca_system_score_codex":0.0011145779,"about_ca_system_score_gemma":0.0010117553,"threshold_uncertainty_score":0.025705814},"labels":[],"label_agreement":null},{"id":"W2168189040","doi":"10.5539/ibr.v8n1p173","title":"Skewness of the Volatility Smile and Stock Returns in Brazil","year":2014,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Skewness; Volatility (finance); Econometrics; Skew; Economics; Implied volatility; Proxy (statistics); Stock (firearms); Autoregressive conditional heteroskedasticity; Forward volatility; Financial economics; Volatility smile; Mathematics; Statistics; Computer science; Geography","score_opus":0.0694630210620762,"score_gpt":0.3154897802056954,"score_spread":0.2460267591436192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168189040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945438,0.0007217096,0.0007354733,0.00020574215,0.0000034730165,0.000006985556,0.00018463074,0.0000148970485,0.003583358],"genre_scores_gemma":[0.99961543,0.0001610712,0.000107244276,0.0000054428506,0.000002820355,0.0000013152118,0.000049223225,0.0000021996052,0.00005521658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995012,0.00016170861,0.000046476147,0.000085167645,0.00013915182,0.00006622662],"domain_scores_gemma":[0.9965372,0.0016461478,0.0010844804,0.00028536387,0.00032236817,0.00012437032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015788993,0.00022582615,0.00035348575,0.0012993558,0.00024147947,0.0010547182,0.00020159206,0.00031342186,0.0013353614],"category_scores_gemma":[0.011205312,0.00021064091,0.00048119837,0.0013759899,0.00074585876,0.00095720997,0.00080319063,0.00033906833,0.00012551596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008585728,0.000035188004,0.9618515,0.000068947425,0.00014146135,0.0004320293,0.0019100343,0.0031817954,0.0019837236,0.009392426,0.00027851923,0.020638544],"study_design_scores_gemma":[0.000004507143,0.000030690164,0.9851134,0.000037911137,0.00003324346,0.0004185611,0.00075046375,0.007817679,0.00035950873,0.0046059666,0.00080862636,0.000019457242],"about_ca_topic_score_codex":0.021370826,"about_ca_topic_score_gemma":0.0133050205,"teacher_disagreement_score":0.021370826,"about_ca_system_score_codex":0.00081647775,"about_ca_system_score_gemma":0.0005012368,"threshold_uncertainty_score":0.042492867},"labels":[],"label_agreement":null},{"id":"W2168624396","doi":"10.1016/s1057-0810(00)00061-5","title":"Market timing using strategists’ and analysts’ forecasts of S&amp;P 500 earnings per share","year":2000,"lang":"en","type":"article","venue":"Financial Services Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Earnings; Consensus forecast; Economics; Optimism; Earnings per share; Financial economics; Econometrics; Monetary economics; Finance","score_opus":0.05391357598465703,"score_gpt":0.2567877620567725,"score_spread":0.2028741860721155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168624396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99043137,0.00031397466,0.0029462005,0.00021715852,0.00003328878,0.000020660073,0.00046224255,0.00004405242,0.0055310875],"genre_scores_gemma":[0.9975311,0.00018132092,0.0011697462,0.000028846282,0.00004316947,0.000007949328,0.00047462678,0.0000049219316,0.0005582982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990339,0.0003020333,0.000083234554,0.00016251928,0.00036302957,0.000055247914],"domain_scores_gemma":[0.97753614,0.011554511,0.0075443382,0.00076238794,0.0022714827,0.00033123366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036888393,0.00024126637,0.0002588977,0.001179265,0.000112951726,0.001097367,0.00021750585,0.0004004925,0.0014624456],"category_scores_gemma":[0.03608245,0.00011671717,0.00024632722,0.001027567,0.00013920639,0.00093077973,0.00027521246,0.00032309254,0.0006215894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001090881,0.0000604255,0.88617456,0.000064649044,0.00040203438,0.000087170025,0.0003598316,0.012942807,0.0015878719,0.0011713398,0.0017698017,0.094288684],"study_design_scores_gemma":[0.000074450436,0.0004356583,0.9016808,0.00005173173,0.00026049672,0.00015671918,0.00052648917,0.08768848,0.0037616228,0.0027291193,0.0025563387,0.00007810327],"about_ca_topic_score_codex":0.0050445884,"about_ca_topic_score_gemma":0.006068481,"teacher_disagreement_score":0.0050445884,"about_ca_system_score_codex":0.0004625912,"about_ca_system_score_gemma":0.00034772087,"threshold_uncertainty_score":0.01950872},"labels":[],"label_agreement":null},{"id":"W2168631035","doi":"10.1080/15427560.2011.575972","title":"The Role of Expectations in Value and Glamour Stock Returns","year":2011,"lang":"en","type":"article","venue":"Journal of Behavioral Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brandon University","funders":"","keywords":"Stock (firearms); Economics; Financial economics; Earnings; Emerging markets; Surprise; Value (mathematics); Volatility (finance); Earnings surprise; Geography; Earnings per share; Finance; Post-earnings-announcement drift","score_opus":0.04585481080819026,"score_gpt":0.24491422770981686,"score_spread":0.1990594169016266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168631035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99337995,0.0003289178,0.00043194092,0.00063768215,0.000013170181,0.000006814951,0.00007227405,0.00000930554,0.005119937],"genre_scores_gemma":[0.9996754,0.000047685124,0.000036919195,0.000029106719,0.000012295012,0.0000011093744,0.000020862268,0.0000014526764,0.00017512648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943095,0.00017302623,0.000053144457,0.000071514776,0.00018474172,0.00008654435],"domain_scores_gemma":[0.98161155,0.00735355,0.008452743,0.0005511944,0.0009762615,0.0010546696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017650326,0.00021944706,0.00020995374,0.00067978393,0.00025986639,0.002147737,0.00028647174,0.0006958505,0.0023003817],"category_scores_gemma":[0.024739727,0.00012668302,0.00025855654,0.0005082827,0.0007338959,0.0015232762,0.0007339833,0.0010068303,0.00023000945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040876155,0.00017039612,0.9713372,0.000030251113,0.0000795504,0.00038294328,0.0010958449,0.0014516055,0.0010575611,0.00562259,0.00042170048,0.017941559],"study_design_scores_gemma":[0.000009283413,0.000113687835,0.98622084,0.000022376194,0.000023427741,0.00011085363,0.00081048976,0.0033386555,0.00042466808,0.008451971,0.00045559212,0.000018257553],"about_ca_topic_score_codex":0.003569164,"about_ca_topic_score_gemma":0.0028908565,"teacher_disagreement_score":0.003569164,"about_ca_system_score_codex":0.00082826824,"about_ca_system_score_gemma":0.00034140993,"threshold_uncertainty_score":0.009334445},"labels":[],"label_agreement":null},{"id":"W2168656910","doi":"10.1080/00036840903196639","title":"Firm size, book-to-market ratio and the macroeconomic environment: theory and test","year":2010,"lang":"en","type":"article","venue":"Applied Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Manitoba","funders":"","keywords":"Economics; Profitability index; Stock market; Econometrics; Linkage (software); Profit (economics); Stock (firearms); Financial economics; Market size; Microeconomics","score_opus":0.0051922171395449475,"score_gpt":0.15874702144859149,"score_spread":0.15355480430904653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168656910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9692616,0.0029766948,0.012523268,0.001422802,0.000047335343,0.0000792739,0.0005036145,0.000105001425,0.013080351],"genre_scores_gemma":[0.997486,0.0006168881,0.0011311454,0.00010166677,0.000071954884,0.00002534321,0.00019591532,0.0000071860354,0.00036400234],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805117,0.0010051859,0.00010289412,0.00033685553,0.00032182716,0.00018203708],"domain_scores_gemma":[0.90740776,0.07993477,0.008692595,0.0013626739,0.0014094431,0.0011928495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046988446,0.0006779985,0.0009379337,0.0019901614,0.00036291618,0.0019450178,0.001842248,0.001592917,0.009755252],"category_scores_gemma":[0.029586986,0.00027886537,0.0007302945,0.002729313,0.00234517,0.0027596268,0.0013123032,0.0009078675,0.0012709161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039714313,0.00062625,0.9096262,0.00028507377,0.0011575003,0.0006938811,0.00027027438,0.01923269,0.0004842399,0.031070583,0.0013259484,0.034830213],"study_design_scores_gemma":[0.00025764617,0.0015147752,0.6924442,0.0002027407,0.00128222,0.0006273622,0.0015667462,0.22190392,0.0017725038,0.07549471,0.002846016,0.00008710436],"about_ca_topic_score_codex":0.0024411227,"about_ca_topic_score_gemma":0.0010753701,"teacher_disagreement_score":0.009755252,"about_ca_system_score_codex":0.0008466609,"about_ca_system_score_gemma":0.0008220103,"threshold_uncertainty_score":0.032634556},"labels":[],"label_agreement":null},{"id":"W2168665401","doi":"10.1111/1540-6261.00438","title":"Leaning for the Tape: Evidence of Gaming Behavior in Equity Mutual Funds","year":2002,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":386,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Portfolio; Monetary economics; Incentive; Quarter (Canadian coin); Inflation (cosmology); Economics; Business; Finance","score_opus":0.17503044647263516,"score_gpt":0.298945843710387,"score_spread":0.12391539723775186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168665401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99849224,0.00005250615,0.000060059603,0.00010470885,0.0000014876338,0.0000038818,0.00006533561,0.0000040718173,0.0012157836],"genre_scores_gemma":[0.99963105,0.000033451903,0.00005708112,0.000046194098,0.000007672329,0.0000040178957,0.000051434705,0.0000010172326,0.00016805994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899906,0.00044380876,0.000093057715,0.00007992738,0.00022442795,0.00015976872],"domain_scores_gemma":[0.97160375,0.0092544155,0.015356643,0.0011906488,0.0010628017,0.0015317127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014317845,0.00014447916,0.00018184517,0.0011910496,0.00050978246,0.001085494,0.0003284859,0.0007438202,0.002434442],"category_scores_gemma":[0.019209815,0.00023056212,0.00012799879,0.0007372975,0.0005546638,0.00048723715,0.0007815113,0.0005864749,0.0003267244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023013364,0.00014631267,0.9884644,0.000014682263,0.00003729982,0.00013648054,0.0009816375,0.000108131506,0.00084764924,0.00032216014,0.00026028062,0.008450809],"study_design_scores_gemma":[0.0000061413116,0.000068703805,0.9980515,0.000007701454,0.000011542952,0.00018863581,0.0004844991,0.00042864864,0.00020764586,0.00023158298,0.00030643767,0.000006876591],"about_ca_topic_score_codex":0.0072349794,"about_ca_topic_score_gemma":0.0094028665,"teacher_disagreement_score":0.0072349794,"about_ca_system_score_codex":0.0004669796,"about_ca_system_score_gemma":0.00021488385,"threshold_uncertainty_score":0.01438576},"labels":[],"label_agreement":null},{"id":"W2169223040","doi":"10.3905/jai.2003.319082","title":"Random Walk Behavior of CTA Returns","year":2003,"lang":"en","type":"article","venue":"The Journal of Alternative Investments","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"","keywords":"Random walk; Econometrics; Series (stratigraphy); Index (typography); Statistics; Mathematics; Computer science; Geology","score_opus":0.04429689080944225,"score_gpt":0.24898138370465137,"score_spread":0.20468449289520912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169223040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877907,0.00016884145,0.00974338,0.00012219706,0.000011791109,0.00003008135,0.0003332798,0.00011642758,0.0016832899],"genre_scores_gemma":[0.99853444,0.00004988823,0.0006199715,0.000011296766,0.000006815145,0.000009041955,0.00029129774,0.0000092417995,0.0004680788],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908984,0.00029503432,0.00006489629,0.00022858138,0.00019269364,0.00012897051],"domain_scores_gemma":[0.98644894,0.0067906054,0.0043525677,0.0010860901,0.0010334577,0.00028835997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002228323,0.00023496302,0.00037964413,0.0016259414,0.00016634367,0.00086829497,0.00044205875,0.0005410938,0.0020630155],"category_scores_gemma":[0.025543194,0.00020777016,0.0004679568,0.0010571928,0.0003689644,0.0012659958,0.00031161364,0.000540226,0.0005852936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005893032,0.00017267904,0.8282144,0.00008231063,0.0005195489,0.00077714433,0.0005594326,0.08175066,0.0069984957,0.021728983,0.0018099018,0.056797113],"study_design_scores_gemma":[0.000027932218,0.00029840358,0.626333,0.0000359493,0.000091748545,0.0008729568,0.00023360433,0.35457566,0.0025263322,0.012957678,0.0019651104,0.00008160449],"about_ca_topic_score_codex":0.0024917508,"about_ca_topic_score_gemma":0.0026407246,"teacher_disagreement_score":0.0024917508,"about_ca_system_score_codex":0.00046114426,"about_ca_system_score_gemma":0.0001764784,"threshold_uncertainty_score":0.011784613},"labels":[],"label_agreement":null},{"id":"W2169248682","doi":"10.2139/ssrn.410501","title":"Further Evidence on Analyst and Investor Mis-Weighting of &#x0D;Prior Period Cash Flows and Accruals","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Accrual; Period (music); Cash flow; Business; Weighting; Operating cash flow; Accounting; Monetary economics; Economics; Econometrics; Financial economics; Financial system; Actuarial science; Earnings; Medicine","score_opus":0.02771746232681423,"score_gpt":0.2265731984113716,"score_spread":0.19885573608455737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169248682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792413,0.0008619373,0.004211752,0.0024411671,0.000059603866,0.000022769611,0.0006676186,0.000046511577,0.0124472985],"genre_scores_gemma":[0.9953496,0.00021809789,0.0010659184,0.00029046802,0.00007604691,0.0000066963507,0.00045198065,0.000013851614,0.002527391],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99647754,0.0014341591,0.00046432138,0.00059658726,0.0008058803,0.00022153488],"domain_scores_gemma":[0.6655715,0.2147861,0.08248173,0.023501119,0.010559365,0.0031001633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014282585,0.00046331497,0.00040614427,0.0016379124,0.0005507738,0.0028837824,0.00069411995,0.001421464,0.009029342],"category_scores_gemma":[0.12621386,0.00032535862,0.00045348864,0.0014630195,0.0007479521,0.0024356237,0.0012214879,0.00135453,0.0012071203],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008918504,0.00014574977,0.97205836,0.000046003126,0.00027500218,0.00014121569,0.0009322912,0.00067984354,0.0011672494,0.0033492092,0.0011775861,0.01913573],"study_design_scores_gemma":[0.000038903443,0.00012815978,0.9825143,0.000028105,0.00019521745,0.00035705505,0.00073257077,0.0030767585,0.001870223,0.007376144,0.0036549435,0.000027458844],"about_ca_topic_score_codex":0.003776319,"about_ca_topic_score_gemma":0.004888478,"teacher_disagreement_score":0.014282585,"about_ca_system_score_codex":0.0005310147,"about_ca_system_score_gemma":0.0004893237,"threshold_uncertainty_score":0.0755344},"labels":[],"label_agreement":null},{"id":"W2169396192","doi":"10.2139/ssrn.2331189","title":"CEO Overconfidence and Stock Price Crash Risk","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Overconfidence effect; Stock price; Business; Financial economics; Crash; Stock (firearms); Economics; Monetary economics; Econometrics; Actuarial science; Computer science; Psychology; Engineering","score_opus":0.01066729693428059,"score_gpt":0.19117072990065148,"score_spread":0.1805034329663709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169396192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99778676,0.000350167,0.000074882424,0.00044629924,0.000015804057,0.0000017400444,0.0000523219,0.000002457242,0.0012696761],"genre_scores_gemma":[0.99952996,0.000083172454,0.000014186652,0.000034187662,0.00004192273,7.22794e-7,0.000041026877,9.0827774e-7,0.00025394864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995889,0.00010925589,0.000052549985,0.00004550456,0.000100747464,0.00010308058],"domain_scores_gemma":[0.96485025,0.0133983195,0.015250765,0.0010576325,0.0012794078,0.0041637262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017531519,0.00015214832,0.00024669105,0.00082667544,0.00026733163,0.0013934837,0.00028507347,0.00085323345,0.005621726],"category_scores_gemma":[0.026456133,0.00014077056,0.00023660707,0.00058774266,0.00029133147,0.0008085565,0.00057847094,0.0013189913,0.0004171185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024154101,0.0000815713,0.99518126,0.0000055392143,0.000039861352,0.00018445737,0.000077639124,0.0001484437,0.000094192736,0.00019189696,0.00023642211,0.0035171455],"study_design_scores_gemma":[0.000016974569,0.00011533738,0.9968759,0.0000080532855,0.00003967635,0.0003950586,0.00036743845,0.0012097136,0.0000705613,0.00070431945,0.0001901048,0.000006885648],"about_ca_topic_score_codex":0.0021657674,"about_ca_topic_score_gemma":0.0028255873,"teacher_disagreement_score":0.005621726,"about_ca_system_score_codex":0.00026467204,"about_ca_system_score_gemma":0.00030693496,"threshold_uncertainty_score":0.018806577},"labels":[],"label_agreement":null},{"id":"W2169434623","doi":"10.1017/s0022109000001848","title":"Survival, Look-Ahead Bias, and Persistence in Hedge Fund Performance","year":2005,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decile; Hedge fund; Persistence (discontinuity); Econometrics; Investment style; Economics; Sampling bias; Investment (military); Quarter (Canadian coin); Style analysis; Returns-based style analysis; Weighting; Financial economics; Actuarial science; Monetary economics; Fund of funds; Investment strategy; Statistics; Mathematics; Finance; Passive management; Sample size determination; Microeconomics; Geography; Return on investment","score_opus":0.12086891355660433,"score_gpt":0.27204312018721594,"score_spread":0.1511742066306116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169434623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957461,0.00023689358,0.0033942969,0.00012419492,0.000006373153,0.0000038358003,0.00009903449,0.000020051042,0.00036927234],"genre_scores_gemma":[0.9995258,0.000036363283,0.00017291644,0.000007817996,0.0000099172785,0.0000017458854,0.000069119,0.0000022775198,0.00017413609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994049,0.00013163427,0.00007945836,0.000113586364,0.0001648859,0.0001055618],"domain_scores_gemma":[0.956143,0.023282781,0.015026107,0.0028764687,0.0015777553,0.0010938969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004594206,0.00021472614,0.00041278277,0.0009983163,0.00023869071,0.0011762949,0.00046473858,0.0007331504,0.0017774777],"category_scores_gemma":[0.0284397,0.00016055592,0.00042689664,0.0010172229,0.0006404555,0.0010662042,0.0006587219,0.000731829,0.00025422813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002451653,0.0000657602,0.96068585,0.000022443704,0.00014455762,0.00016624475,0.0001901463,0.015621525,0.001029842,0.0027615696,0.00022433401,0.018842626],"study_design_scores_gemma":[0.000022334742,0.00026809375,0.8494378,0.00003055425,0.00015445048,0.0003815482,0.00022425763,0.13150321,0.0017859922,0.01564665,0.00049324095,0.000051960247],"about_ca_topic_score_codex":0.0020127534,"about_ca_topic_score_gemma":0.0015522712,"teacher_disagreement_score":0.004594206,"about_ca_system_score_codex":0.0005184784,"about_ca_system_score_gemma":0.00032165265,"threshold_uncertainty_score":0.02429676},"labels":[],"label_agreement":null},{"id":"W2169537072","doi":"10.2139/ssrn.2188924","title":"An Estimation of Economic Models with Recursive Preferences","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Estimation; Econometrics; Economic model; Economics; Computer science; Mathematics; Statistics; Microeconomics","score_opus":0.023225638240294035,"score_gpt":0.2261444130491582,"score_spread":0.20291877480886417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169537072","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23266205,0.00045558598,0.76280993,0.0007910105,0.000048280515,0.000048829275,0.00023921762,0.00029309388,0.0026519955],"genre_scores_gemma":[0.9167988,0.00047744505,0.07841718,0.00009548282,0.00007907686,0.000091174064,0.00038057507,0.000056765177,0.0036034398],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991592,0.00052963034,0.00003625111,0.00012918493,0.00006344261,0.00008224865],"domain_scores_gemma":[0.9894107,0.009350891,0.00047935927,0.00042086712,0.00018981894,0.00014837662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021824143,0.0005587621,0.0013314596,0.00064772845,0.00037642394,0.0017924254,0.001381224,0.0017555191,0.0030343737],"category_scores_gemma":[0.01922109,0.0012800138,0.0011738669,0.0008751083,0.00059427344,0.0020908348,0.0011000162,0.0017023163,0.00038569226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008646278,0.000072770774,0.0029119838,0.000041248473,0.00010390842,0.00008295077,0.000075774275,0.942717,0.00023076673,0.035093237,0.0005560277,0.01802787],"study_design_scores_gemma":[0.000011537243,0.000008591103,0.00030915355,0.0000035163357,0.000009706545,0.0000063505363,0.0000057941966,0.99070054,0.00005414898,0.008754389,0.00013176468,0.000004472867],"about_ca_topic_score_codex":0.0123719275,"about_ca_topic_score_gemma":0.008781013,"teacher_disagreement_score":0.0123719275,"about_ca_system_score_codex":0.0008234819,"about_ca_system_score_gemma":0.0011672376,"threshold_uncertainty_score":0.02459985},"labels":[],"label_agreement":null},{"id":"W2169554859","doi":"10.2139/ssrn.1089858","title":"Share Issuance and Cross-Sectional Returns: International Evidence","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Financial system; Monetary economics; Economics","score_opus":0.036560932424334586,"score_gpt":0.2768133900797861,"score_spread":0.24025245765545153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169554859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950177,0.0014018734,0.00018017543,0.00019652575,0.000010747336,0.0000057081284,0.0002880901,0.0000063641496,0.0028927694],"genre_scores_gemma":[0.99700576,0.0012381517,0.00006858216,0.000044654207,0.000045052144,0.0000030599163,0.00064952037,0.0000052283563,0.00093995745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949026,0.00012491159,0.00007359516,0.000091870854,0.00012102229,0.00009829833],"domain_scores_gemma":[0.9702113,0.011112901,0.014071408,0.0022252514,0.0012453696,0.0011336764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001977569,0.0003051231,0.00042454895,0.001334699,0.00044174088,0.0017435986,0.00074790855,0.00095463934,0.007193229],"category_scores_gemma":[0.011304573,0.00031659292,0.00045621739,0.0026805485,0.0009929952,0.0017367541,0.00090501265,0.0009942931,0.0014624972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006365879,0.00027945513,0.9866723,0.00003932653,0.00021747533,0.0001832126,0.00035061117,0.00019328238,0.0003377121,0.00095385563,0.00029316632,0.009843076],"study_design_scores_gemma":[0.00003296898,0.0002250285,0.99580884,0.000023573552,0.00020156386,0.00032118347,0.00045240743,0.0002544114,0.00062106235,0.0008076904,0.0012407602,0.000010550339],"about_ca_topic_score_codex":0.0028677587,"about_ca_topic_score_gemma":0.002076216,"teacher_disagreement_score":0.007193229,"about_ca_system_score_codex":0.00021977833,"about_ca_system_score_gemma":0.0002020934,"threshold_uncertainty_score":0.024063766},"labels":[],"label_agreement":null},{"id":"W2169602816","doi":"10.1016/s1057-5219(01)00059-x","title":"A contingent claim analysis of closed-end fund premia","year":2001,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Alberta","funders":"University of Washington; Washington State University","keywords":"Uncorrelated; Economics; Autocorrelation; Econometrics; Net asset value; Risk premium; Capital asset pricing model; Martingale (probability theory); Value (mathematics); Financial economics; Arbitrage; Replicate; Stochastic discount factor; Finance; Mathematics; Statistics","score_opus":0.03716566561503466,"score_gpt":0.27662891630714037,"score_spread":0.23946325069210572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169602816","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19023299,0.006185375,0.74597424,0.008313851,0.0005722247,0.0001715535,0.00057487044,0.00043523178,0.047539566],"genre_scores_gemma":[0.94684666,0.0025685541,0.030236878,0.00029857463,0.0013903885,0.00009912235,0.0002730302,0.00012689456,0.018159878],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982956,0.00069788325,0.00009862397,0.00026560118,0.00038764748,0.00025465392],"domain_scores_gemma":[0.97950774,0.013840653,0.0022263573,0.0017046892,0.0016919047,0.0010286402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008082935,0.0011688186,0.001710515,0.0028881223,0.001198193,0.004177994,0.002296041,0.0027586876,0.007876446],"category_scores_gemma":[0.032347742,0.00078737695,0.0016986342,0.0016932816,0.0038459986,0.011367173,0.002369113,0.0049415124,0.0006405837],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051213367,0.000049769613,0.0009130088,0.00005703519,0.000047231282,0.00015898731,0.00014562807,0.008687993,0.0006964107,0.9794311,0.002150472,0.007611146],"study_design_scores_gemma":[0.000022464244,0.000044042798,0.0010916698,0.000034998568,0.000054580283,0.00015654934,0.00004587848,0.12979187,0.00041669127,0.86622477,0.0020923996,0.000024055726],"about_ca_topic_score_codex":0.0011281709,"about_ca_topic_score_gemma":0.00077266153,"teacher_disagreement_score":0.008082935,"about_ca_system_score_codex":0.0012418507,"about_ca_system_score_gemma":0.001368383,"threshold_uncertainty_score":0.0427472},"labels":[],"label_agreement":null},{"id":"W2169607556","doi":"10.1093/qje/120.2.639","title":"Money Illusion in the Stock Market: The Modigliani-Cohn Hypothesis","year":2005,"lang":"en","type":"article","venue":"The Quarterly Journal of Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":205,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Treasury; Financial economics; Stock (firearms); Illusion; Stock market; Cash; Monetary economics; Finance","score_opus":0.037065200458461914,"score_gpt":0.20337366448019792,"score_spread":0.166308464021736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169607556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9344456,0.0034619952,0.013483723,0.010676135,0.0001317445,0.000094554336,0.00018597956,0.00007542491,0.037444893],"genre_scores_gemma":[0.99812204,0.00039899445,0.0003949727,0.00030097814,0.00015478037,0.000010985095,0.000026899925,0.0000036319607,0.00058664667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993814,0.000099305566,0.000040945153,0.00012486275,0.00023602476,0.0001173768],"domain_scores_gemma":[0.99145025,0.0041042278,0.002605151,0.0007062445,0.00047137841,0.00066278933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022354077,0.00030342897,0.00052963244,0.0013282659,0.0007784475,0.0023240214,0.00080918736,0.0013314626,0.006196601],"category_scores_gemma":[0.01637788,0.0001874995,0.00049982086,0.0009039113,0.0049079363,0.005648801,0.0020054118,0.0016684334,0.00037481973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011154757,0.00040836915,0.17270043,0.00024106537,0.00021156958,0.0016054334,0.0026625458,0.008295233,0.002047321,0.7027081,0.0059165563,0.102087855],"study_design_scores_gemma":[0.00022526253,0.00022047074,0.08667127,0.00008556216,0.00009581082,0.00058127305,0.0006916785,0.020940479,0.0010009304,0.8850751,0.0043452573,0.000066954126],"about_ca_topic_score_codex":0.002981237,"about_ca_topic_score_gemma":0.0010774775,"teacher_disagreement_score":0.006196601,"about_ca_system_score_codex":0.0011967939,"about_ca_system_score_gemma":0.0007720139,"threshold_uncertainty_score":0.020729661},"labels":[],"label_agreement":null},{"id":"W2169853278","doi":"","title":"Idiosyncratic Risk Pricing in Canada","year":2014,"lang":"en","type":"article","venue":"THE JOURNAL OF APPLIED BUSINESS AND ECONOMICS","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Synchronicity; Systematic risk; Diversification (marketing strategy); Stock (firearms); Capital asset pricing model; Market liquidity; Financial economics; Econometrics; Economics; Business; Monetary economics","score_opus":0.009646308751537947,"score_gpt":0.1508833665511383,"score_spread":0.14123705779960036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169853278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706749,0.0008829227,0.001006476,0.0013428252,0.000024678062,0.00002299301,0.0021230194,0.00005798507,0.023864277],"genre_scores_gemma":[0.99460536,0.00039603468,0.00030603114,0.00005695219,0.000006235383,0.0000027756373,0.0006569824,0.000008123907,0.0039615026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993154,0.000039156515,0.000026928003,0.000100404286,0.0003222474,0.00019594266],"domain_scores_gemma":[0.9968233,0.00039684703,0.0005902057,0.00017780057,0.0016022101,0.00040966403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008318579,0.00026670741,0.0003675149,0.0014463651,0.0022045088,0.0021170296,0.0006618453,0.0002974765,0.0046936492],"category_scores_gemma":[0.00573304,0.00014270374,0.0004952651,0.0037224812,0.00072408124,0.00047300613,0.00085620285,0.0005876864,0.00021677418],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034462076,0.000073723895,0.8618549,0.00011161805,0.00015976354,0.0010942018,0.0031851337,0.00986492,0.00086562126,0.034632403,0.012318573,0.07549446],"study_design_scores_gemma":[0.000026703123,0.000047624264,0.9617386,0.00005833711,0.00008385936,0.00040059348,0.0026927437,0.009795891,0.0007291934,0.0034761839,0.02085951,0.00009067013],"about_ca_topic_score_codex":0.99185747,"about_ca_topic_score_gemma":0.9917725,"teacher_disagreement_score":0.025897423,"about_ca_system_score_codex":0.025897423,"about_ca_system_score_gemma":0.032277443,"threshold_uncertainty_score":0.18789983},"labels":[],"label_agreement":null},{"id":"W2170099876","doi":"10.2139/ssrn.277008","title":"Stock Valuation and Investment Strategies","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Valuation (finance); Economics; Earnings growth; Earnings; Stock (firearms); Residual income valuation; Econometrics; Portfolio; Financial economics; Price–earnings ratio; Earnings yield; Momentum (technical analysis); Rate of return; Earnings per share; Finance","score_opus":0.028994458524901803,"score_gpt":0.2300830827018582,"score_spread":0.2010886241769564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170099876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9135343,0.0066168085,0.016735278,0.0020143902,0.00005887328,0.000020166715,0.00026665305,0.00003002374,0.060723417],"genre_scores_gemma":[0.99276453,0.0009095299,0.00045003125,0.000027331995,0.000027350978,0.0000037452992,0.000055867764,0.0000020218733,0.005759609],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999,0.00003105635,0.000008134846,0.000016530861,0.00002674058,0.00001764413],"domain_scores_gemma":[0.99893004,0.000509678,0.0002863646,0.00006624478,0.00011462216,0.000092921815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052857463,0.00025634497,0.00022765031,0.000500888,0.00012513892,0.0022621783,0.00017802569,0.00054967694,0.005285757],"category_scores_gemma":[0.0053536873,0.00012186753,0.00014742852,0.0005786866,0.00034908683,0.0021356205,0.00029370698,0.00046926626,0.00053185277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027891216,0.00020483306,0.11225244,0.00011113589,0.00018906781,0.00092890864,0.0005377195,0.02516816,0.0048106546,0.7082219,0.003505561,0.1437907],"study_design_scores_gemma":[0.00004342147,0.00018302718,0.122306384,0.0000927258,0.00010047404,0.00092256773,0.00069478794,0.08857262,0.0015800245,0.7772465,0.008225905,0.00003165653],"about_ca_topic_score_codex":0.00065961806,"about_ca_topic_score_gemma":0.00067882193,"teacher_disagreement_score":0.005285757,"about_ca_system_score_codex":0.00049606315,"about_ca_system_score_gemma":0.0002068013,"threshold_uncertainty_score":0.017682672},"labels":[],"label_agreement":null},{"id":"W2170130722","doi":"10.2139/ssrn.591652","title":"Is the January Effect Still Alive in the Futures Markets?","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Futures contract; Financial economics; Portfolio; Market liquidity; Economics; Anomaly (physics); Capitalization; Exploit; Value (mathematics); Stock (firearms); Marginal value; Index (typography); January effect; Stock index futures; Stock market index; Monetary economics; Business; Stock market; Geography; Mathematics; Statistics; Microeconomics","score_opus":0.009934803649549176,"score_gpt":0.2125563974914853,"score_spread":0.20262159384193612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170130722","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33849937,0.024589634,0.016518997,0.39748508,0.008034743,0.000053366388,0.0017275844,0.00047174675,0.21261951],"genre_scores_gemma":[0.9583516,0.0050408514,0.0010032299,0.010915547,0.0057143345,0.00001747241,0.00023483027,0.00015615614,0.018565852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99898976,0.00021631972,0.00005129407,0.00021394575,0.0002320971,0.0002965596],"domain_scores_gemma":[0.98711306,0.006490326,0.002831225,0.0014142942,0.0010444615,0.0011067108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047907457,0.00028130846,0.0013850228,0.00063306506,0.0014885489,0.006601497,0.0010829397,0.004202699,0.026829358],"category_scores_gemma":[0.033501875,0.00033825843,0.0006817225,0.0011109678,0.003482903,0.016512899,0.0017484165,0.0063036988,0.002474208],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092658453,0.0001597716,0.019160194,0.00016163627,0.0001469558,0.0003831223,0.000685947,0.0018763365,0.00055380363,0.8563687,0.04355973,0.076017074],"study_design_scores_gemma":[0.00013759118,0.0000914326,0.01966267,0.00011689469,0.00012528847,0.00016292707,0.0010739305,0.0025554644,0.0008795793,0.91063565,0.06445492,0.00010363369],"about_ca_topic_score_codex":0.006337014,"about_ca_topic_score_gemma":0.0055683665,"teacher_disagreement_score":0.026829358,"about_ca_system_score_codex":0.0011370232,"about_ca_system_score_gemma":0.0016395366,"threshold_uncertainty_score":0.08975315},"labels":[],"label_agreement":null},{"id":"W21704349","doi":"10.1016/j.puhe.2011.01.004","title":"A full century of monthly Canadian stock price index returns : a review of the Fisher hypothesis and some anomalies","year":2001,"lang":"en","type":"review","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Economics; Equity (law); Financial economics; Stock exchange; Stock market index; Econometrics; Stock market; Geography; Finance","score_opus":0.048126761697027676,"score_gpt":0.22542837488088646,"score_spread":0.17730161318385879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W21704349","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00085963006,0.99431074,0.00025949063,0.0017131234,0.00019054412,0.0000079423135,0.00018513699,0.000008150186,0.0024651515],"genre_scores_gemma":[0.005890446,0.99208903,0.00027583368,0.00054524676,0.00026137562,0.0000069072717,0.00017741558,0.000004492877,0.0007493069],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99886787,0.00009493451,0.000113506925,0.00012096436,0.0007514398,0.000051314233],"domain_scores_gemma":[0.99469346,0.0015274262,0.00045689306,0.00014618492,0.0030239364,0.00015211385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028224827,0.0010707261,0.0015064899,0.0068347636,0.0006406658,0.0019947875,0.0013707066,0.0010373697,0.0025522837],"category_scores_gemma":[0.008944487,0.00043281692,0.00049383537,0.010494057,0.0015432135,0.0020273603,0.0005271683,0.0011294354,0.0009239475],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006615965,0.00002316021,0.0060955263,0.004622101,0.00013446847,0.00013850113,0.00013021812,0.00042947647,0.0002570453,0.0033756224,0.03623874,0.94848907],"study_design_scores_gemma":[0.000025228543,0.00012449395,0.10847051,0.014228601,0.00041254476,0.0012692225,0.0006003659,0.0007587534,0.00063471234,0.009884121,0.86343896,0.0001524997],"about_ca_topic_score_codex":0.3523364,"about_ca_topic_score_gemma":0.4008736,"teacher_disagreement_score":0.6476636,"about_ca_system_score_codex":0.006351422,"about_ca_system_score_gemma":0.011761538,"threshold_uncertainty_score":0.7005712},"labels":[],"label_agreement":null},{"id":"W2170552116","doi":"10.2139/ssrn.1628406","title":"Financial Product Differentiation Over the State Space in the Mutual Fund Industry","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Business; Finance; Mutual fund; State (computer science); Product (mathematics); Space (punctuation); Financial services; Financial system; Computer science","score_opus":0.016336734778666286,"score_gpt":0.2161413690373887,"score_spread":0.1998046342587224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170552116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99158806,0.00038262585,0.0044988072,0.0002939853,0.0000030813944,0.0000056368376,0.00013943667,0.000015698059,0.0030727556],"genre_scores_gemma":[0.99843496,0.00013811566,0.0005404866,0.00001225617,0.000007065996,0.0000025468535,0.00007802381,0.000003413173,0.0007832008],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996068,0.00016128963,0.000028671127,0.00007813446,0.000051107523,0.00007393637],"domain_scores_gemma":[0.9889664,0.008204861,0.0014757485,0.0003750919,0.00048874185,0.0004890642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001986577,0.00018447595,0.0005460776,0.0011874767,0.00042293945,0.0025715246,0.0003190463,0.0006929877,0.004660515],"category_scores_gemma":[0.010214684,0.0002566384,0.00042014004,0.0014150302,0.0011216978,0.0034782705,0.0010272436,0.00087943027,0.0002158218],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031158938,0.00031677642,0.36442026,0.00022204289,0.00031422687,0.0006821758,0.0032265775,0.09188901,0.00552554,0.43073627,0.002435408,0.097115755],"study_design_scores_gemma":[0.00014016668,0.00038211985,0.35997272,0.00009164162,0.00025225576,0.00046238225,0.0021734869,0.2320149,0.0015852042,0.4003859,0.002435178,0.00010400093],"about_ca_topic_score_codex":0.005391071,"about_ca_topic_score_gemma":0.0057868217,"teacher_disagreement_score":0.005391071,"about_ca_system_score_codex":0.0012010221,"about_ca_system_score_gemma":0.0004524474,"threshold_uncertainty_score":0.015590966},"labels":[],"label_agreement":null},{"id":"W2170666344","doi":"10.2139/ssrn.2145565","title":"High Frequency Trading and End-of-Day Manipulation","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"High-frequency trading; Enforcement; Robustness (evolution); Business; End-to-end principle; Monetary economics; Algorithmic trading; Economics; Finance; Computer science; Biology; Computer security","score_opus":0.024020554975334014,"score_gpt":0.21239525991046587,"score_spread":0.18837470493513186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170666344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9705777,0.0004929075,0.013158246,0.00037465498,0.000039799463,0.000011468093,0.00004837775,0.00005160015,0.01524521],"genre_scores_gemma":[0.9986154,0.00004075321,0.00034484026,0.000018369927,0.000021728412,0.0000020708248,0.000012221474,0.000004240184,0.0009402936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995567,0.00011866597,0.000030609317,0.000087787834,0.00011610771,0.00009014657],"domain_scores_gemma":[0.989881,0.0068015186,0.002019951,0.0007313949,0.00024208787,0.0003240127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065593165,0.00014562826,0.00033246257,0.00039281114,0.0002901412,0.0020156798,0.00033138128,0.00096360204,0.005631394],"category_scores_gemma":[0.011329819,0.0001709792,0.00023155414,0.0002813307,0.0004963798,0.0014974138,0.0006058181,0.0007514102,0.0003720747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005020348,0.0023699445,0.34023443,0.00026535068,0.00051613577,0.005607639,0.0020265507,0.038210016,0.09244148,0.30469748,0.0040753083,0.2045353],"study_design_scores_gemma":[0.0002023288,0.0009894163,0.48060244,0.000057075224,0.00019890249,0.004971128,0.0010848296,0.24558231,0.00964769,0.2522119,0.004314436,0.00013753313],"about_ca_topic_score_codex":0.0003180141,"about_ca_topic_score_gemma":0.00029371117,"teacher_disagreement_score":0.005631394,"about_ca_system_score_codex":0.00022922613,"about_ca_system_score_gemma":0.00013734258,"threshold_uncertainty_score":0.018838882},"labels":[],"label_agreement":null},{"id":"W2170905619","doi":"10.1111/j.1475-679x.2007.00245.x","title":"Investor Reaction to Celebrity Analysts: The Case of Earnings Forecast Revisions","year":2007,"lang":"en","type":"article","venue":"Journal of Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":140,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Earnings; Forecast error; Econometrics; Ex-ante; Sample (material); Economics; Media coverage; Actuarial science; Business; Financial economics; Accounting","score_opus":0.09839879925608506,"score_gpt":0.34465042033939075,"score_spread":0.24625162108330567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170905619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99601376,0.0001050898,0.00033553934,0.00032549666,0.000015429112,0.00001246788,0.000059231123,0.000009217352,0.0031237593],"genre_scores_gemma":[0.9995196,0.00005061271,0.00013748807,0.0000436646,0.00004287947,0.000004762291,0.000030884952,0.0000025017657,0.00016764553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748623,0.0013498951,0.00019213666,0.00022050309,0.0005627775,0.00018843441],"domain_scores_gemma":[0.79736066,0.135248,0.05548673,0.0057166703,0.0039173737,0.0022706327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058734375,0.00021436591,0.00030863864,0.00084716326,0.00029754968,0.00150287,0.0003224885,0.0007620746,0.0028160494],"category_scores_gemma":[0.06931519,0.00014297069,0.00032029123,0.00056776276,0.00048127086,0.00073798466,0.0006425425,0.0010831073,0.00028916885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017832465,0.000266271,0.9646404,0.000077640776,0.00027088803,0.0006032153,0.0017285738,0.0017659125,0.004037843,0.0007993759,0.0005432786,0.023483505],"study_design_scores_gemma":[0.000021577966,0.00029389712,0.9893139,0.000021601643,0.00012108985,0.00025987823,0.0010670953,0.0052886396,0.0023412968,0.0006312895,0.0006100221,0.000029736044],"about_ca_topic_score_codex":0.0018748092,"about_ca_topic_score_gemma":0.0017919512,"teacher_disagreement_score":0.0058734375,"about_ca_system_score_codex":0.00040008253,"about_ca_system_score_gemma":0.00019223613,"threshold_uncertainty_score":0.031062126},"labels":[],"label_agreement":null},{"id":"W2171235770","doi":"","title":"DIVIDEND YIELD STRATEGIES : DOGS OF THE DOW AND HOUNDS OF THE BAY","year":2006,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dividend; Context (archaeology); Dividend yield; Financial economics; Test (biology); Skepticism; Yield (engineering); Economics; Dividend policy; History; Finance; Biology; Ecology","score_opus":0.015344329617532182,"score_gpt":0.18420287899794546,"score_spread":0.16885854938041328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171235770","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9584493,0.0010191216,0.0004850414,0.00214695,0.000017027016,0.000018503833,0.000054543434,0.000009808576,0.03779964],"genre_scores_gemma":[0.99631065,0.00028772838,0.00012575676,0.00011991981,0.000005172161,0.0000017884245,0.00001816047,0.0000024531485,0.003128303],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993722,0.000099156736,0.000019427513,0.000083882725,0.00028465196,0.00014076452],"domain_scores_gemma":[0.99693054,0.00072501216,0.001361979,0.00014619295,0.0004437136,0.00039259458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013893876,0.00016415102,0.00024429918,0.0005280617,0.001427082,0.0046752165,0.00054178946,0.0008709174,0.0029256674],"category_scores_gemma":[0.0083516,0.00012051189,0.00015769678,0.00083613937,0.0022089193,0.0021611433,0.0008143636,0.0010026623,0.00023836961],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014345779,0.0008345576,0.48744383,0.00017362366,0.00019280134,0.0014354278,0.018838352,0.0063543436,0.006659073,0.26262084,0.016956817,0.19705589],"study_design_scores_gemma":[0.00015478874,0.0006183509,0.80621034,0.00015762566,0.00023962744,0.00046097685,0.05360181,0.012158722,0.005534812,0.057892065,0.062794544,0.00017636424],"about_ca_topic_score_codex":0.21054344,"about_ca_topic_score_gemma":0.30071583,"teacher_disagreement_score":0.21054344,"about_ca_system_score_codex":0.0065344097,"about_ca_system_score_gemma":0.0035783486,"threshold_uncertainty_score":0.4186359},"labels":[],"label_agreement":null},{"id":"W2171329278","doi":"10.1111/j.1911-3846.2011.01078.x","title":"Market Efficiency and the Post-Earnings Announcement Drift*","year":2011,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Predictability; Economics; Arbitrage; Earnings; Trading strategy; Post-earnings-announcement drift; Limits to arbitrage; Proxy (statistics); Econometrics; Transaction cost; Financial economics; Market efficiency; Horizon; Stock (firearms); Monetary economics; Earnings response coefficient; Microeconomics; Finance","score_opus":0.08963171292722276,"score_gpt":0.2705801894021284,"score_spread":0.18094847647490564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171329278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955472,0.00025731174,0.0017444423,0.00011782399,0.0000049033156,0.000015056966,0.00012107379,0.000021860713,0.002170391],"genre_scores_gemma":[0.9994135,0.000057662877,0.0001518263,0.0000079873835,0.000010441105,0.0000025568634,0.0000969587,0.0000028146696,0.0002562962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995078,0.00007623872,0.00008473478,0.00006680379,0.00015660602,0.00010790981],"domain_scores_gemma":[0.9611147,0.016130008,0.018974062,0.0017846569,0.000856764,0.0011397909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002734131,0.0003050783,0.00045235336,0.0012956656,0.00021512799,0.0018165611,0.00037438533,0.00060615543,0.002645963],"category_scores_gemma":[0.020163681,0.00017121837,0.00034319627,0.000971733,0.0007464169,0.0016309151,0.0008769889,0.0006648913,0.00043811178],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044088633,0.00034111028,0.9432763,0.000054833014,0.00021185068,0.00042724752,0.00021724118,0.015368924,0.004600885,0.008336474,0.00034877495,0.026375456],"study_design_scores_gemma":[0.000013473111,0.00018982645,0.97434956,0.000010195421,0.000031560292,0.00020480945,0.00011242567,0.01715762,0.0012130843,0.0062605403,0.0004374571,0.000019470825],"about_ca_topic_score_codex":0.00090813835,"about_ca_topic_score_gemma":0.0008351448,"teacher_disagreement_score":0.002734131,"about_ca_system_score_codex":0.00050508307,"about_ca_system_score_gemma":0.0003141479,"threshold_uncertainty_score":0.01445961},"labels":[],"label_agreement":null},{"id":"W2171509392","doi":"10.2139/ssrn.1534727","title":"On the Hansen-Jagannathan Distance with a No-Arbitrage Constraint","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Arbitrage; Constraint (computer-aided design); Mathematics; Mathematical economics; Econometrics; Economics; Computer science; Financial economics","score_opus":0.02037023348020671,"score_gpt":0.1793940904594627,"score_spread":0.15902385697925597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171509392","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10729586,0.0122943865,0.75181335,0.014123774,0.0014900467,0.000120357174,0.00075486983,0.00015277501,0.11195452],"genre_scores_gemma":[0.8563248,0.0059630745,0.09169831,0.0012936868,0.0021110654,0.00017612615,0.00060238503,0.00032478946,0.041505788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9952077,0.0030124804,0.00023478523,0.0006651461,0.00057612994,0.00030379064],"domain_scores_gemma":[0.9600042,0.032934833,0.0019931558,0.0017418949,0.0019905202,0.0013354915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00877246,0.0011188783,0.003022251,0.0022128294,0.001617164,0.00296789,0.0034207432,0.0041178805,0.013391558],"category_scores_gemma":[0.054052968,0.0007461395,0.0013022536,0.00264566,0.005388384,0.010227752,0.0049490896,0.005411143,0.0012425085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004444745,0.000015993606,0.00023225941,0.000074768504,0.000020430944,0.00009020034,0.000058886842,0.009188158,0.00009916825,0.98490417,0.0017419306,0.0035297284],"study_design_scores_gemma":[0.000028967399,0.000026300417,0.0002762949,0.00003282928,0.000010528292,0.000050077775,0.000035780846,0.05622544,0.000078530444,0.941268,0.00194097,0.000026382439],"about_ca_topic_score_codex":0.003114403,"about_ca_topic_score_gemma":0.0024141313,"teacher_disagreement_score":0.013391558,"about_ca_system_score_codex":0.0017475995,"about_ca_system_score_gemma":0.0021129015,"threshold_uncertainty_score":0.046393752},"labels":[],"label_agreement":null},{"id":"W2172945366","doi":"10.19030/iber.v4i2.3574","title":"Analysis Of The Sustainability Of Endowment Fund Spending Rates From Domestic And Internationally Diversified Portfolios","year":2011,"lang":"en","type":"article","venue":"International Business & Economics Research Journal (IBER)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Endowment; Economics; Quarter (Canadian coin); Sustainability; Equity (law); Value (mathematics); Intergenerational equity; Financial economics; Geography","score_opus":0.12005034170406122,"score_gpt":0.3224581452012733,"score_spread":0.2024078034972121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172945366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99851245,0.000018568997,0.00041794367,0.00001789285,5.92064e-7,0.000005764543,0.00025849146,0.0000071128998,0.00076104206],"genre_scores_gemma":[0.9986106,0.000027751837,0.00037328425,0.0000018359391,0.0000018032882,0.000005981254,0.0007230972,0.000004529577,0.00025108317],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953365,0.00012461658,0.0000475705,0.0000640178,0.00015173569,0.000078496334],"domain_scores_gemma":[0.9908922,0.004770678,0.0022447517,0.0006372917,0.0010755939,0.00037951316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020789187,0.00021845545,0.00023626532,0.002058052,0.00015652589,0.00086977176,0.00022150845,0.00019318279,0.0011379062],"category_scores_gemma":[0.012250261,0.00010760435,0.0005000515,0.0020973464,0.00028491887,0.00073778746,0.0005123597,0.00041317547,0.00015996378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046792268,0.000065581735,0.9158911,0.000031714342,0.00025069638,0.00030353913,0.00027380505,0.04758677,0.0032908588,0.0035658113,0.00042901732,0.027843175],"study_design_scores_gemma":[0.0000126333125,0.00021964987,0.9117264,0.0000102660115,0.000072788556,0.00021782854,0.00031422218,0.08203765,0.0031050039,0.0014541748,0.00080831954,0.000021147536],"about_ca_topic_score_codex":0.0025213235,"about_ca_topic_score_gemma":0.0021591482,"teacher_disagreement_score":0.0025213235,"about_ca_system_score_codex":0.00072293525,"about_ca_system_score_gemma":0.00036620322,"threshold_uncertainty_score":0.010994494},"labels":[],"label_agreement":null},{"id":"W2173591008","doi":"10.2139/ssrn.2753304","title":"The Effect of Data Availability in Measuring Fund Managerss After-Tax Alpha","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Business; Alpha (finance); Accounting; Economics; Actuarial science","score_opus":0.032469543232529936,"score_gpt":0.2306935321360912,"score_spread":0.19822398890356127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173591008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99020386,0.0012784068,0.0030010492,0.0011464178,0.000086803666,0.00003598236,0.0008566839,0.00003565573,0.0033552689],"genre_scores_gemma":[0.99872965,0.00009432121,0.0006189409,0.00007972169,0.00004473466,0.000010752878,0.0001623973,0.0000094758525,0.00024993002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9220066,0.058109347,0.0068909638,0.005584961,0.0056192307,0.0017889566],"domain_scores_gemma":[0.13807422,0.80388415,0.03652494,0.010691827,0.008152629,0.0026723477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07028375,0.00045064194,0.0005652331,0.001982501,0.0009083313,0.0036323264,0.0013202778,0.0018533813,0.0026397852],"category_scores_gemma":[0.33543718,0.0006554645,0.0011934305,0.0028310379,0.001860774,0.0039461525,0.0017166588,0.0019718928,0.00058366696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020310697,0.0001451279,0.9826255,0.0000873535,0.00042030012,0.00019704367,0.00044031767,0.0028200464,0.0003707088,0.00033818762,0.00052253396,0.010001771],"study_design_scores_gemma":[0.0001315195,0.0015393993,0.9783456,0.00015936383,0.0007823699,0.0009018933,0.00091936236,0.011583091,0.0026041893,0.000899354,0.002066776,0.00006710558],"about_ca_topic_score_codex":0.006953762,"about_ca_topic_score_gemma":0.00772692,"teacher_disagreement_score":0.07028375,"about_ca_system_score_codex":0.0011916045,"about_ca_system_score_gemma":0.0015706022,"threshold_uncertainty_score":0.3717004},"labels":[],"label_agreement":null},{"id":"W2174431136","doi":"10.2139/ssrn.2576784","title":"Investing with Style in Corporate Bonds","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Corporate bond; Equity (law); Bond; Momentum (technical analysis); Excess return; Financial economics; Economics; Monetary economics; Carry (investment); Business; Econometrics; Finance; Geography","score_opus":0.0476472850354681,"score_gpt":0.20879384193122086,"score_spread":0.16114655689575275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174431136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956359,0.00009201313,0.00063116034,0.00020791419,0.000016638727,0.000005524617,0.00006357489,0.0000075229714,0.003339803],"genre_scores_gemma":[0.99594057,0.000092675895,0.00013262164,0.000039499653,0.000025540423,0.000002455607,0.00009231344,0.0000036891656,0.0036706503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999684,0.00008994061,0.000026640048,0.000060865335,0.00006386381,0.00007471408],"domain_scores_gemma":[0.995246,0.0015574634,0.0016542675,0.00028165398,0.00031834957,0.0009423818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001235079,0.00029205758,0.00033691412,0.00037564893,0.00028151262,0.0025195635,0.00036475417,0.0009846663,0.00631184],"category_scores_gemma":[0.011029496,0.00014987613,0.00023743801,0.0004816738,0.00035697487,0.0016063177,0.00067329605,0.0010598722,0.00067695323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010241413,0.0008674968,0.9140636,0.00008371998,0.00022582653,0.00082998024,0.0006574939,0.008084302,0.0033362396,0.022049464,0.0018978807,0.046879895],"study_design_scores_gemma":[0.00013952095,0.0022204428,0.8442537,0.00006219071,0.00037916194,0.0010049428,0.0021576325,0.04041758,0.002139117,0.10380982,0.0033555576,0.00006029328],"about_ca_topic_score_codex":0.00082132476,"about_ca_topic_score_gemma":0.0017676912,"teacher_disagreement_score":0.00631184,"about_ca_system_score_codex":0.00036010222,"about_ca_system_score_gemma":0.00017263541,"threshold_uncertainty_score":0.021115184},"labels":[],"label_agreement":null},{"id":"W2175491927","doi":"10.19030/jber.v3i3.2758","title":"The Impacts Of Institutional Stock Ownership On Stock Returns And Performance: A Financial Market Perspective","year":2011,"lang":"en","type":"article","venue":"Journal of Business & Economics Research (JBER)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Stock (firearms); Span (engineering); Stock price; Style (visual arts); Economics; Monetary economics; Business; Biology","score_opus":0.12026347649160213,"score_gpt":0.28682218110633173,"score_spread":0.1665587046147296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175491927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983736,0.0012301372,0.00019116046,0.0011710557,0.000020309113,0.000010272468,0.00047506383,0.000012365097,0.013153625],"genre_scores_gemma":[0.99824,0.0003639558,0.00003666003,0.00004720228,0.000037025795,0.000002337051,0.00013510435,0.0000025391735,0.0011352032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996524,0.00008973019,0.000023461826,0.000036291425,0.00009482893,0.00010328029],"domain_scores_gemma":[0.99422365,0.0019884335,0.0023307793,0.0001434534,0.00044068,0.0008730184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007928945,0.00020662214,0.0001830455,0.0011376278,0.00026998192,0.0019988774,0.00027721334,0.00050071155,0.009305251],"category_scores_gemma":[0.0038239239,0.000092441405,0.0004799579,0.0011680257,0.00045327103,0.0012376662,0.0005274857,0.00070426264,0.00083385577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020321929,0.0002392867,0.97783387,0.000030890566,0.0001254352,0.00046413313,0.0001668171,0.0007735157,0.00052707654,0.0021054752,0.000813009,0.016717302],"study_design_scores_gemma":[0.0000048495735,0.00013306981,0.996476,0.000018325853,0.000053623735,0.00007813593,0.00040567998,0.0011849356,0.00019485205,0.00067620655,0.0007652886,0.0000090948415],"about_ca_topic_score_codex":0.0067932447,"about_ca_topic_score_gemma":0.006942658,"teacher_disagreement_score":0.009305251,"about_ca_system_score_codex":0.00057523616,"about_ca_system_score_gemma":0.0005733952,"threshold_uncertainty_score":0.031129122},"labels":[],"label_agreement":null},{"id":"W2176300957","doi":"10.19030/iber.v1i9.3977","title":"Standardized Unexpected Earnings In The U. S. Technology Sector","year":2011,"lang":"en","type":"article","venue":"International Business & Economics Research Journal (IBER)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings surprise; Earnings; Price–earnings ratio; Arbitrage; Post-earnings-announcement drift; Earnings per share; Earnings response coefficient; Yield (engineering); Earnings yield; Economics; Quarter (Canadian coin); Stock (firearms); Business; Monetary economics; Excess return; Financial economics; Accounting","score_opus":0.11047782896767093,"score_gpt":0.29878169542819233,"score_spread":0.18830386646052139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176300957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983834,0.00008794901,0.00011794349,0.00006260033,0.0000050911394,0.0000020440978,0.0002764794,0.000007802972,0.001056621],"genre_scores_gemma":[0.9994436,0.000049909373,0.00003664879,0.000009951306,0.0000039963857,8.323954e-7,0.0003118982,8.599806e-7,0.0001422621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998541,0.00002908287,0.000020426829,0.000021827249,0.000046962916,0.000027617685],"domain_scores_gemma":[0.99720424,0.0007082091,0.0014396816,0.00013560512,0.0003360115,0.00017615256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004450504,0.00012166423,0.00010460761,0.0007215229,0.000107836386,0.00048081827,0.00008042904,0.00017997136,0.00074709224],"category_scores_gemma":[0.004293207,0.000057004756,0.000121972866,0.0008629864,0.00012428247,0.00036718187,0.00028357876,0.00021080484,0.00022883262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012955195,0.000060816663,0.98167706,0.000007662105,0.000030324974,0.00022555528,0.00008537029,0.0023860538,0.00073645846,0.0006674632,0.0012127294,0.012780929],"study_design_scores_gemma":[0.000005394932,0.00010521078,0.98978734,0.000007561303,0.000013456079,0.00022498198,0.00015424109,0.0077608195,0.00071235286,0.0006134687,0.0006068442,0.000008415333],"about_ca_topic_score_codex":0.0061073084,"about_ca_topic_score_gemma":0.007258986,"teacher_disagreement_score":0.0061073084,"about_ca_system_score_codex":0.0003805569,"about_ca_system_score_gemma":0.00017072214,"threshold_uncertainty_score":0.012143493},"labels":[],"label_agreement":null},{"id":"W2176392780","doi":"10.19030/jber.v8i10.775","title":"Influence Of Unusual Economic Conditions On The Occurrence Of The Size Anomaly","year":2010,"lang":"en","type":"article","venue":"Journal of Business & Economics Research (JBER)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Manitoba","funders":"","keywords":"Econometrics; Anomaly (physics); Economics; Portfolio; Logistic regression; Risk–return spectrum; Factor analysis; Logit; Financial economics; Regression; Excess return; Statistics; Mathematics; Geography","score_opus":0.05813132278381499,"score_gpt":0.2946767926109549,"score_spread":0.23654546982713992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176392780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99818003,0.00004491689,0.00069062255,0.00006109245,0.0000052082223,0.0000049961704,0.00006924754,0.000013919063,0.00092995923],"genre_scores_gemma":[0.99978215,0.000014042269,0.00009463109,0.000005618732,0.0000039650326,9.0005557e-7,0.000037551545,0.0000025674037,0.00005863385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989579,0.00036247456,0.00012581344,0.00018088373,0.00022589344,0.00014700722],"domain_scores_gemma":[0.962127,0.0224514,0.010942365,0.0023047812,0.0010121191,0.0011625204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00281024,0.00013877937,0.00034529847,0.0007100628,0.00018443604,0.0009858101,0.00022401981,0.00043980312,0.002055384],"category_scores_gemma":[0.028107993,0.000115135976,0.00029735966,0.00052125804,0.0006013116,0.0007141617,0.0006524159,0.0005524381,0.00020443555],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038704058,0.000068682544,0.9825964,0.000012463155,0.00008389143,0.00049003394,0.00008907597,0.005321291,0.0032062489,0.000786114,0.00013380407,0.0068250396],"study_design_scores_gemma":[0.000006095149,0.00012777833,0.98444694,0.000003842081,0.00003244352,0.0003207155,0.00014058605,0.012448473,0.0011237889,0.0011317424,0.00020128634,0.000016431388],"about_ca_topic_score_codex":0.0016254057,"about_ca_topic_score_gemma":0.0014663138,"teacher_disagreement_score":0.00281024,"about_ca_system_score_codex":0.00034321836,"about_ca_system_score_gemma":0.00024274702,"threshold_uncertainty_score":0.01486212},"labels":[],"label_agreement":null},{"id":"W2176617419","doi":"10.2849/9466","title":"Catering to Investors Through Product Complexity","year":2016,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Toulouse School of Economics","keywords":"Headline; Product (mathematics); Yield (engineering); Investment (military); Business; Economics; Monetary economics; Financial economics; Advertising","score_opus":0.06177116988336003,"score_gpt":0.2370223177204962,"score_spread":0.17525114783713616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176617419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600307,0.0005494209,0.011013414,0.0009870073,0.000011132147,0.00010079597,0.000055246863,0.000035168585,0.027217263],"genre_scores_gemma":[0.996819,0.00013099538,0.001566294,0.00007270487,0.000016751583,0.000009645125,0.000020058238,0.0000028978484,0.0013615052],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940705,0.000182584,0.00004062721,0.0000988422,0.00017585375,0.00009504184],"domain_scores_gemma":[0.99183476,0.0035192978,0.0035241123,0.0003957366,0.00035299128,0.00037316783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012601069,0.0003095929,0.0002792421,0.0008303856,0.00047070754,0.0022118737,0.00037167745,0.0010307191,0.0061644884],"category_scores_gemma":[0.009360678,0.00019907585,0.00028233405,0.00037831155,0.0010846896,0.0026153417,0.001097353,0.00074068067,0.00045462066],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012856566,0.00079261034,0.5151173,0.0005463603,0.00029361705,0.0039046626,0.0027816235,0.019867476,0.024686502,0.2288208,0.0033569431,0.19854648],"study_design_scores_gemma":[0.00047969472,0.0017753404,0.51248705,0.00038115119,0.00046160968,0.0040001157,0.005751455,0.097961135,0.016786005,0.31458396,0.045050904,0.00028170124],"about_ca_topic_score_codex":0.00086360704,"about_ca_topic_score_gemma":0.0011894295,"teacher_disagreement_score":0.0061644884,"about_ca_system_score_codex":0.0009455938,"about_ca_system_score_gemma":0.00046650576,"threshold_uncertainty_score":0.020622253},"labels":[],"label_agreement":null},{"id":"W2178430755","doi":"10.19030/iber.v4i9.3616","title":"Investment Strategies, Performance, And Trading Information Impact","year":2011,"lang":"en","type":"article","venue":"International Business & Economics Research Journal (IBER)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Contrarian; Investment strategy; Portfolio; Stock (firearms); Financial economics; Investment (military); Economics; Trading strategy; Investment performance; Algorithmic trading; Context (archaeology); Business; Monetary economics; Microeconomics; Return on investment; Market liquidity","score_opus":0.10143677654819545,"score_gpt":0.2923112584711268,"score_spread":0.19087448192293138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178430755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920563,0.00030947741,0.00041799675,0.00012714272,0.0000038110688,0.000017000168,0.00022678652,0.000013323011,0.0068281735],"genre_scores_gemma":[0.9987784,0.00012293644,0.0002815616,0.000011981127,0.00000360244,0.0000016901986,0.00018700786,0.000002346877,0.00061059825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989183,0.00013793971,0.00007417144,0.00009986095,0.0005884965,0.0001812065],"domain_scores_gemma":[0.9900961,0.0041044145,0.003397373,0.0005049905,0.0012581033,0.00063908537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020715818,0.00036605803,0.00034853196,0.001564403,0.00038700766,0.002173937,0.00048719326,0.0004708006,0.0016709627],"category_scores_gemma":[0.013672292,0.00014502642,0.00030206892,0.0014361351,0.00050513004,0.0013540579,0.00043266424,0.00047651993,0.00021620879],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035599584,0.00025765944,0.9460106,0.00004796251,0.00027213615,0.00016979684,0.00025923518,0.010530557,0.0019512499,0.0018209656,0.00030954243,0.038014233],"study_design_scores_gemma":[0.000021267495,0.0005074422,0.9687146,0.000020141135,0.0001635508,0.00012500913,0.00038535477,0.02430896,0.0027871598,0.0015863524,0.0013336176,0.000046621615],"about_ca_topic_score_codex":0.08514738,"about_ca_topic_score_gemma":0.12821673,"teacher_disagreement_score":0.08514738,"about_ca_system_score_codex":0.0029226854,"about_ca_system_score_gemma":0.0014147607,"threshold_uncertainty_score":0.16930354},"labels":[],"label_agreement":null},{"id":"W2178585221","doi":"10.2139/ssrn.593601","title":"Empirical Bayes Estimation with Dynamic Portfolio Models","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Dalhousie University","funders":"","keywords":"Estimator; Portfolio; Econometrics; Bayes' theorem; Estimation; Mean squared error; Bayes estimator; Mathematics; Economics; Statistics; Bayesian probability; Financial economics","score_opus":0.016917785103916203,"score_gpt":0.22869527405103054,"score_spread":0.21177748894711435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178585221","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014163885,0.0013420838,0.9812143,0.00059812993,0.00008009352,0.00003630288,0.00010093014,0.0002683154,0.0021958877],"genre_scores_gemma":[0.53934085,0.0034230216,0.43620816,0.00039286684,0.0006851494,0.00034683704,0.00118613,0.0002968703,0.018120162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972921,0.0016816065,0.00016616753,0.00037592815,0.00034510478,0.00013902406],"domain_scores_gemma":[0.9770437,0.020036504,0.0009297102,0.0010078972,0.0007546415,0.00022754843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007305713,0.0010733738,0.0024780887,0.0017633673,0.00058192306,0.0030531394,0.001950254,0.0022563569,0.006462807],"category_scores_gemma":[0.045264486,0.0020904555,0.0011962485,0.001582571,0.0010101531,0.0045876447,0.0017848731,0.0023787213,0.0014038113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002653433,0.00016855987,0.003759184,0.00026301184,0.00037081595,0.00025928474,0.00015394532,0.6202557,0.0006300683,0.19417198,0.005603997,0.17409804],"study_design_scores_gemma":[0.000041810188,0.00001703677,0.00031707765,0.000036623387,0.00003244417,0.00005332957,0.00001050423,0.8781969,0.00015874147,0.12013473,0.000987232,0.000013528032],"about_ca_topic_score_codex":0.0039693257,"about_ca_topic_score_gemma":0.0034663328,"teacher_disagreement_score":0.007305713,"about_ca_system_score_codex":0.0008829172,"about_ca_system_score_gemma":0.0014812562,"threshold_uncertainty_score":0.038636744},"labels":[],"label_agreement":null},{"id":"W2178960428","doi":"10.5539/ijef.v7n12p11","title":"An Empirical Essay to Explain the Contrarian Profits in the Tunisian Stock Market: Behavioral Approach vs. Rational Approach","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contrarian; Overconfidence effect; Economics; Behavioral economics; Financial economics; Stock market; Capital asset pricing model; Rational expectations; Stock (firearms); Econometrics; Microeconomics; Psychology; Context (archaeology); Social psychology","score_opus":0.07834186273529728,"score_gpt":0.28444192232581506,"score_spread":0.20610005959051778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178960428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6421712,0.057844453,0.020270834,0.15936962,0.0018193632,0.00006958313,0.000805879,0.00007370831,0.11757531],"genre_scores_gemma":[0.96407473,0.017207054,0.0020522827,0.003912953,0.001856353,0.00001590657,0.00023448034,0.000017917459,0.010628148],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998004,0.00006328644,0.000015623242,0.000040964074,0.0000489504,0.00003079259],"domain_scores_gemma":[0.9973149,0.0015818903,0.00048921304,0.0001309345,0.00041379078,0.000069320275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014097717,0.0004193206,0.00026816485,0.0013059294,0.0005231979,0.002104473,0.00067050644,0.0013301787,0.007820853],"category_scores_gemma":[0.005188982,0.00013424888,0.00034040064,0.0015106048,0.0017874321,0.002873916,0.00046210553,0.0011180221,0.0004524588],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025898675,0.0005204905,0.114277124,0.0007327382,0.00018087846,0.0015998161,0.0046457914,0.0042663235,0.0013289411,0.6964343,0.029318765,0.14643581],"study_design_scores_gemma":[0.00014128065,0.00017611828,0.24000825,0.0011526654,0.0003162519,0.0012726018,0.010661164,0.028845401,0.0013897627,0.5597346,0.15618971,0.00011228503],"about_ca_topic_score_codex":0.007873182,"about_ca_topic_score_gemma":0.0036036647,"teacher_disagreement_score":0.007873182,"about_ca_system_score_codex":0.001570306,"about_ca_system_score_gemma":0.0008903454,"threshold_uncertainty_score":0.02616334},"labels":[],"label_agreement":null},{"id":"W2179107011","doi":"10.2139/ssrn.1004707","title":"A Generalized Approach to Portfolio Optimization: Improving Performance by Constraining Portfolio Norms","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Portfolio; Portfolio optimization; Black–Litterman model; Post-modern portfolio theory; Computer science; Mathematical optimization; Business; Economics; Econometrics; Mathematics; Financial economics; Replicating portfolio","score_opus":0.013667236688168148,"score_gpt":0.20164961392352282,"score_spread":0.18798237723535466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179107011","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009459429,0.00035757094,0.988436,0.00020990563,0.00007136648,0.000023920877,0.000029170105,0.00010500583,0.001307657],"genre_scores_gemma":[0.37063578,0.0011277553,0.623134,0.0004315999,0.00055056496,0.0002619349,0.00022830644,0.00027480116,0.0033552058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969302,0.0018132604,0.00012837216,0.0003964385,0.0006012601,0.00013052225],"domain_scores_gemma":[0.9946291,0.0029873275,0.00042517646,0.00089501456,0.00086419267,0.00019919696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004431608,0.0017810608,0.0024054903,0.00092733104,0.00045994358,0.0017619997,0.0023692448,0.0019180822,0.0020576066],"category_scores_gemma":[0.01565156,0.0006072147,0.0010418822,0.001638303,0.0014386312,0.0028716624,0.0027558776,0.002456406,0.00040046618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011650547,0.00009511457,0.00056530855,0.00014470372,0.00015810055,0.000056238943,0.00007330473,0.8287035,0.0021619112,0.07035438,0.0020258634,0.09554505],"study_design_scores_gemma":[0.000016855407,0.00004790713,0.000063126005,0.00000894126,0.000014993596,0.00001132399,0.000004182232,0.96019506,0.00028189662,0.038855366,0.000492539,0.000007824496],"about_ca_topic_score_codex":0.0017179954,"about_ca_topic_score_gemma":0.0016894669,"teacher_disagreement_score":0.004431608,"about_ca_system_score_codex":0.00071641634,"about_ca_system_score_gemma":0.0015072462,"threshold_uncertainty_score":0.023436844},"labels":[],"label_agreement":null},{"id":"W2179416887","doi":"10.2139/ssrn.2542314","title":"A Closed-Form Execution Strategy to Target VWAP","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Volume-weighted average price; Order (exchange); Econometrics; Computer science; Volume (thermodynamics); High-frequency trading; Flow (mathematics); Trading strategy; Algorithmic trading; Economics; Mathematics; Financial economics; Finance; Series (stratigraphy); Stock price","score_opus":0.0133664566766636,"score_gpt":0.2078793925443554,"score_spread":0.19451293586769178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179416887","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067215916,0.000037955342,0.9823972,0.00025412856,0.00006292103,0.00013040574,0.000066692766,0.0015463856,0.008782818],"genre_scores_gemma":[0.5406247,0.00008641191,0.44399005,0.00024973348,0.00010640378,0.00041743432,0.0003725382,0.0004024819,0.01375028],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983152,0.0006184658,0.00009085463,0.0003060568,0.00040915498,0.00026030972],"domain_scores_gemma":[0.9961753,0.0018699288,0.00023246829,0.0004945791,0.0010837665,0.00014386597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002376831,0.0011764091,0.000959991,0.0008194814,0.00081129675,0.002474601,0.00132744,0.0019399871,0.024204254],"category_scores_gemma":[0.013356883,0.00046145846,0.0005843836,0.00080860127,0.0008287872,0.002063914,0.0024397701,0.001758227,0.0054066153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074722467,0.00041776747,0.0017769405,0.0001654637,0.00007549962,0.00040801673,0.00027695607,0.42073956,0.0074970545,0.11376577,0.018245146,0.4358846],"study_design_scores_gemma":[0.000043231536,0.000071610746,0.000099415134,0.00001185724,0.0000074094296,0.000050994513,0.000036440797,0.97142124,0.0017066051,0.02437726,0.0021644454,0.000009434169],"about_ca_topic_score_codex":0.0035675939,"about_ca_topic_score_gemma":0.0037588568,"teacher_disagreement_score":0.024204254,"about_ca_system_score_codex":0.00061238324,"about_ca_system_score_gemma":0.0026650766,"threshold_uncertainty_score":0.0809713},"labels":[],"label_agreement":null},{"id":"W2182051792","doi":"10.1111/jofi.12365","title":"Does Academic Research Destroy Stock Return Predictability?","year":2015,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1533,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Predictability; Market liquidity; Portfolio; Stock (firearms); Econometrics; Economics; Sample (material); Financial economics; Actuarial science; Business; Monetary economics; Statistics; Mathematics; Geography","score_opus":0.14465898607984637,"score_gpt":0.31565331896048365,"score_spread":0.17099433288063728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182051792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9251044,0.02544661,0.0032700456,0.016742243,0.0011073479,0.00005298027,0.0018689072,0.00025458704,0.026152952],"genre_scores_gemma":[0.9896829,0.004116682,0.00042405154,0.00086764415,0.0016215122,0.000014381456,0.00050463853,0.00003705708,0.0027310632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9906413,0.002519044,0.0013022968,0.0008235263,0.004115229,0.0005986181],"domain_scores_gemma":[0.6380573,0.1892061,0.11885883,0.028359517,0.018730702,0.0067875152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02514817,0.00033007248,0.00095566997,0.0038870566,0.000824745,0.0060290596,0.00082272064,0.0014847288,0.008540768],"category_scores_gemma":[0.12843995,0.00027509703,0.0007564054,0.00843541,0.0015925302,0.0035171073,0.0013127982,0.0014466873,0.0030042601],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001066091,0.00042337517,0.8526172,0.0005387986,0.0006229643,0.0004707238,0.0007706159,0.0016908814,0.0007835168,0.005340433,0.0074713267,0.12820406],"study_design_scores_gemma":[0.00011653902,0.00090232154,0.9529771,0.0004166501,0.0009126527,0.00073930935,0.0011257892,0.0040607876,0.003971444,0.017536124,0.017173072,0.00006817039],"about_ca_topic_score_codex":0.0012528725,"about_ca_topic_score_gemma":0.0012778072,"teacher_disagreement_score":0.02514817,"about_ca_system_score_codex":0.0009639458,"about_ca_system_score_gemma":0.002022365,"threshold_uncertainty_score":0.13299781},"labels":[],"label_agreement":null},{"id":"W2182749469","doi":"10.19030/iber.v10i7.4662","title":"The Impact Of Trading Volume On Portfolios Effective Time Formation/Holding Periods Based On Momentum Investment Strategies","year":2011,"lang":"en","type":"article","venue":"International Business & Economics Research Journal (IBER)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Momentum (technical analysis); Portfolio; Volume (thermodynamics); Investment strategy; Investment (military); Financial economics; Economics; Stock (firearms); Monetary economics; Business; Econometrics; Physics; Engineering","score_opus":0.06753371318153548,"score_gpt":0.3037898112135489,"score_spread":0.23625609803201345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182749469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99692184,0.00023749015,0.0008470622,0.000055398534,0.0000072172834,0.000009044701,0.00008708094,0.0000112338985,0.0018236164],"genre_scores_gemma":[0.9992843,0.00006456879,0.000208968,0.0000071145705,0.0000072994267,0.0000028648908,0.00013365333,0.000004780826,0.00028645224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982303,0.0003268918,0.00012789945,0.00018904566,0.0008145044,0.00031139245],"domain_scores_gemma":[0.9782996,0.012624881,0.0050538527,0.0008765059,0.0018102607,0.0013350213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036900698,0.0003537376,0.0003462419,0.0014304931,0.00039089497,0.0022065025,0.00050733617,0.00036275553,0.0016548913],"category_scores_gemma":[0.02545272,0.0001558762,0.00042080344,0.0012043689,0.00048800991,0.0014730899,0.0007516856,0.0005892972,0.00019795926],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005263867,0.000095922784,0.94968873,0.000023239829,0.00020001273,0.00013847752,0.0002223626,0.013119608,0.0016876099,0.0008017022,0.00017834736,0.03331763],"study_design_scores_gemma":[0.000015268357,0.00031613503,0.9762245,0.00000990683,0.00010721348,0.000087930726,0.00023586708,0.020455297,0.0014543404,0.00060321105,0.00046967977,0.000020676516],"about_ca_topic_score_codex":0.022104852,"about_ca_topic_score_gemma":0.025160033,"teacher_disagreement_score":0.022104852,"about_ca_system_score_codex":0.0014284198,"about_ca_system_score_gemma":0.000841764,"threshold_uncertainty_score":0.043952405},"labels":[],"label_agreement":null},{"id":"W2182911751","doi":"","title":"Normative Stock Exchange and Speculative Activities: Critique and Empirical Verification","year":2000,"lang":"en","type":"preprint","venue":"Emory Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Inefficiency; Stock (firearms); Normative; Stock market; Stock market bubble; Market maker; Economics; Financial economics; Empirical research; Restricted stock; Empirical evidence; Business; Monetary economics; Finance; Microeconomics; Political science","score_opus":0.05338189987940549,"score_gpt":0.2731537725177173,"score_spread":0.21977187263831177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182911751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40491232,0.08099624,0.083049886,0.18034835,0.0014744224,0.00016329296,0.0007188537,0.0001887346,0.24814793],"genre_scores_gemma":[0.9752191,0.015299062,0.0027491788,0.0019487775,0.0018491134,0.00003400232,0.00018735767,0.00002487198,0.0026885858],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974329,0.00075163867,0.00022841762,0.00043467505,0.0010166398,0.00013578894],"domain_scores_gemma":[0.9031345,0.07982817,0.0073328614,0.0040818714,0.0050341934,0.00058837386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066615124,0.0005800088,0.0010725147,0.0028010018,0.0007833246,0.0032083045,0.0014875989,0.0024193665,0.0069865584],"category_scores_gemma":[0.051950816,0.00026615718,0.00054244004,0.0022345718,0.009907998,0.006246363,0.0019155619,0.0024155946,0.00058372144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088398825,0.000090634894,0.012155836,0.0003081273,0.000040209783,0.00031518235,0.00065794407,0.0016945031,0.00018041256,0.9515266,0.002902952,0.030039169],"study_design_scores_gemma":[0.000055513086,0.000044889377,0.013043686,0.0003115697,0.000045009834,0.00027159732,0.0010356212,0.008302797,0.0004513395,0.95881814,0.01758925,0.000030622174],"about_ca_topic_score_codex":0.0030517974,"about_ca_topic_score_gemma":0.0012927657,"teacher_disagreement_score":0.0069865584,"about_ca_system_score_codex":0.0017969427,"about_ca_system_score_gemma":0.0021145327,"threshold_uncertainty_score":0.03522992},"labels":[],"label_agreement":null},{"id":"W2183344379","doi":"10.1007/978-1-4757-3561-1_12","title":"Equilibrium Asset Price Dynamics with Holding-Term Switching","year":2002,"lang":"en","type":"book-chapter","venue":"Advances in computational management science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Speculation; Economics; Capital asset pricing model; Asset (computer security); Earnings; Financial economics; Rational expectations; Financial market; Consumption-based capital asset pricing model; Econometrics; Microeconomics; Finance","score_opus":0.020735054430553644,"score_gpt":0.23138078914016166,"score_spread":0.210645734709608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183344379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32811508,0.0008179048,0.6221248,0.0020416637,0.00022603133,0.00005510321,0.0004121594,0.00050287467,0.045704406],"genre_scores_gemma":[0.9570786,0.00041095394,0.017739903,0.00014520292,0.0001478117,0.000053388594,0.00022638224,0.00010475123,0.02409294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969995,0.000094316725,0.000013197943,0.00006202317,0.00006872913,0.00006178232],"domain_scores_gemma":[0.9979912,0.0013972151,0.00016931159,0.00017334605,0.00014139852,0.00012744356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013155851,0.00047083318,0.0010315458,0.00058796647,0.00048519188,0.0018460266,0.0014335294,0.0017318495,0.007968717],"category_scores_gemma":[0.006634321,0.0006329676,0.0009725596,0.00068460184,0.0013102338,0.0036856162,0.0009048669,0.0017297033,0.0007537952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010089548,0.00009413016,0.0012489931,0.000060577855,0.0000647123,0.00032916598,0.0001826483,0.2685208,0.0025024544,0.7081818,0.003973881,0.014739946],"study_design_scores_gemma":[0.000016205831,0.000011699615,0.00034827384,0.000003821308,0.000010928832,0.00006219402,0.00001600063,0.8142424,0.00017775512,0.18473636,0.0003619819,0.000012420786],"about_ca_topic_score_codex":0.0016425195,"about_ca_topic_score_gemma":0.0012449761,"teacher_disagreement_score":0.007968717,"about_ca_system_score_codex":0.0007417416,"about_ca_system_score_gemma":0.00046426393,"threshold_uncertainty_score":0.026658058},"labels":[],"label_agreement":null},{"id":"W2183730777","doi":"","title":"Modeling Hedge Fund Returns Using the Kalman Filter: An Errors-in-Variables Perspective","year":2009,"lang":"en","type":"article","venue":"68th International Atlantic Economic Conference","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais","funders":"","keywords":"Hedge fund; Kalman filter; Econometrics; Returns-based style analysis; Perspective (graphical); Actuarial science; Computer science; Economics; Business; Finance; Open-end fund; Artificial intelligence; Corporate governance; Institutional investor","score_opus":0.10327031119029956,"score_gpt":0.28813425546632376,"score_spread":0.1848639442760242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183730777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09519188,0.00095638976,0.8986796,0.0013173457,0.00015457608,0.000022513335,0.00018994659,0.00028103517,0.003206777],"genre_scores_gemma":[0.963843,0.0010700186,0.029976716,0.00008975542,0.00015702036,0.000029959314,0.00017704668,0.00006527511,0.004591184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999337,0.00023854732,0.00004696868,0.00016504161,0.00011779401,0.00009455577],"domain_scores_gemma":[0.9963743,0.002742642,0.00043477686,0.00014409437,0.00024059688,0.00006355241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027644653,0.0008845414,0.0012068086,0.00060535065,0.000371534,0.0024237472,0.0013234194,0.0019169699,0.001271439],"category_scores_gemma":[0.01183612,0.0008898616,0.00085710816,0.00081512757,0.00071812596,0.0029473465,0.00083210086,0.0019846738,0.0002025085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036473255,0.000015411644,0.0019800751,0.000016834232,0.0000642082,0.000043071603,0.00004246466,0.9709438,0.00015349212,0.01910018,0.00024712895,0.007356844],"study_design_scores_gemma":[0.000007289681,0.0000074152317,0.00032810323,0.0000045620354,0.000014702015,0.000006698797,0.0000074221302,0.9907725,0.000119691875,0.008516201,0.00020680152,0.000008649753],"about_ca_topic_score_codex":0.0339508,"about_ca_topic_score_gemma":0.016155427,"teacher_disagreement_score":0.0339508,"about_ca_system_score_codex":0.0008435043,"about_ca_system_score_gemma":0.0013552326,"threshold_uncertainty_score":0.06750637},"labels":[],"label_agreement":null},{"id":"W2185072653","doi":"","title":"Direct Estimation of Equity Market Impact","year":2005,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":370,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Equity (law); Volatility (finance); Economics; Square root; Financial economics; Mathematics","score_opus":0.03576486508246566,"score_gpt":0.27031176831809384,"score_spread":0.23454690323562818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185072653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9362677,0.00036298877,0.04991771,0.00017507184,0.000025381347,0.00008835815,0.0040891855,0.00039857623,0.008675016],"genre_scores_gemma":[0.9854173,0.000081686616,0.010307369,0.0000156939,0.000028629398,0.000030688567,0.0026078515,0.00003386803,0.0014768738],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99909127,0.000308491,0.00005903453,0.00021549127,0.0002463021,0.00007942813],"domain_scores_gemma":[0.9864269,0.010162399,0.0011722371,0.0013254347,0.0007029014,0.0002100988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016585593,0.00045960874,0.00057351956,0.0019677016,0.00015089511,0.0010975066,0.000571237,0.0005404099,0.00644467],"category_scores_gemma":[0.022802489,0.0002758479,0.00038999773,0.0016445324,0.00029145897,0.00096711126,0.00075298175,0.0006737155,0.0010784828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057106715,0.00033908026,0.6491576,0.00020807299,0.00050775945,0.00030445875,0.0002018835,0.19635837,0.0041642706,0.011954938,0.0049999733,0.1312325],"study_design_scores_gemma":[0.00006892685,0.00019930594,0.38447347,0.00003043422,0.00010073946,0.00025505724,0.00018001068,0.59290856,0.0072414298,0.01055287,0.0039489926,0.00004019126],"about_ca_topic_score_codex":0.004775306,"about_ca_topic_score_gemma":0.0048943968,"teacher_disagreement_score":0.00644467,"about_ca_system_score_codex":0.00055162754,"about_ca_system_score_gemma":0.00041553497,"threshold_uncertainty_score":0.021559536},"labels":[],"label_agreement":null},{"id":"W2185166253","doi":"","title":"Changes in Liquidity,Cash Market Activity, and Futures Market Performance:Evidence from Live Cattle Market in Brazil","year":2011,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Market liquidity; Futures market; Futures contract; Cash; Business; Economics; Monetary economics; Market impact; Market microstructure; Financial economics; Order (exchange); Finance","score_opus":0.05084780112064153,"score_gpt":0.22530224324047562,"score_spread":0.1744544421198341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185166253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988912,0.00017068072,0.000042988773,0.00011661469,7.7400375e-7,0.0000022494924,0.00014071449,0.0000011168595,0.0006336453],"genre_scores_gemma":[0.99951816,0.00014299859,0.000036453905,0.00001348,0.0000024129802,0.0000013529049,0.00012300989,8.941533e-7,0.00016131286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998074,0.000046632304,0.000013117856,0.000034695455,0.00004553313,0.000052669708],"domain_scores_gemma":[0.997138,0.00094356074,0.0012269772,0.00011766109,0.00034749735,0.00022641344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063165143,0.00012515765,0.00019864486,0.0005917213,0.00044809788,0.0007772271,0.000391767,0.0004050846,0.0013913176],"category_scores_gemma":[0.0036526378,0.00015349226,0.00019216555,0.0011330751,0.0007278447,0.00065933773,0.0004635248,0.00042143205,0.00011664362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017355672,0.00014000978,0.9869915,0.00004529061,0.000086242224,0.0002928995,0.0030183608,0.0002422883,0.0014835031,0.0010512809,0.00028870025,0.0061861905],"study_design_scores_gemma":[0.00001323074,0.000055447184,0.99539655,0.00002082099,0.000055485692,0.00007243203,0.002377656,0.00056732126,0.00023715258,0.00033615876,0.0008612495,0.0000064970354],"about_ca_topic_score_codex":0.15997523,"about_ca_topic_score_gemma":0.25937882,"teacher_disagreement_score":0.15997523,"about_ca_system_score_codex":0.0011357085,"about_ca_system_score_gemma":0.00063651684,"threshold_uncertainty_score":0.3180881},"labels":[],"label_agreement":null},{"id":"W2185564565","doi":"10.2139/ssrn.1102508","title":"Estimating the Ex Ante Equity Premium","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto; University of British Columbia","funders":"","keywords":"Ex-ante; Economics; Equity (law); Econometrics; Financial economics; Business; Macroeconomics; Political science","score_opus":0.02545288865258181,"score_gpt":0.25383635559175866,"score_spread":0.22838346693917685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185564565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91123015,0.00026533392,0.085118,0.000503481,0.000027814727,0.000022496028,0.00030666412,0.00024149347,0.002284576],"genre_scores_gemma":[0.9871199,0.00008707472,0.010986563,0.00001553903,0.000039953822,0.000006328821,0.00026357407,0.000013447744,0.001467601],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996706,0.00013185511,0.000015277901,0.00007768872,0.000043993405,0.00006060914],"domain_scores_gemma":[0.9952858,0.0038639603,0.0003177572,0.0002366186,0.00014898094,0.00014690246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022277844,0.0005912734,0.00065830833,0.0008168073,0.00021978335,0.0013626394,0.0006382418,0.0013502429,0.0029252672],"category_scores_gemma":[0.009531062,0.0006331128,0.00034938863,0.00042184285,0.00031135944,0.0013406153,0.00073771365,0.0011034218,0.00052992883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011523708,0.000762944,0.25044096,0.00012017649,0.00040778817,0.0006978034,0.00020163745,0.5536812,0.00919936,0.032261755,0.0025326663,0.14854138],"study_design_scores_gemma":[0.00003212649,0.00008773589,0.016619626,0.0000058818687,0.000026733498,0.00008411247,0.000036428533,0.9727534,0.001822067,0.008284911,0.0002362347,0.000010827134],"about_ca_topic_score_codex":0.0034771797,"about_ca_topic_score_gemma":0.0037168004,"teacher_disagreement_score":0.0034771797,"about_ca_system_score_codex":0.00057555584,"about_ca_system_score_gemma":0.00060955907,"threshold_uncertainty_score":0.011781812},"labels":[],"label_agreement":null},{"id":"W2185930465","doi":"10.2139/ssrn.2304337","title":"Need for Speed? Low Latency Trading and Adverse Selection","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Adverse selection; Latency (audio); Business; Selection (genetic algorithm); Computer science; Telecommunications; Actuarial science; Artificial intelligence","score_opus":0.01345992256633882,"score_gpt":0.19578681527700859,"score_spread":0.18232689271066976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185930465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.745982,0.005111533,0.13191493,0.031643227,0.0010011557,0.00007565524,0.00028580482,0.00068260706,0.08330315],"genre_scores_gemma":[0.9921451,0.00043875212,0.0021647005,0.0005229897,0.0005495144,0.00001038383,0.000019075813,0.000041528783,0.0041079614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99889946,0.0003399201,0.00007236433,0.00022389447,0.00024325545,0.00022099899],"domain_scores_gemma":[0.9582146,0.028622491,0.006206142,0.0040766387,0.0015391296,0.0013410893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003921594,0.00039576244,0.0010640626,0.00071519054,0.0008462915,0.004789,0.0009209403,0.002296313,0.01796038],"category_scores_gemma":[0.046654884,0.00046629345,0.00047537193,0.00067481986,0.0023865246,0.01062632,0.0016576659,0.0029324342,0.0014193694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010517667,0.00017801383,0.035240896,0.00023200316,0.00020288795,0.001104962,0.0006526399,0.025645759,0.0042261435,0.8412967,0.008655871,0.08151232],"study_design_scores_gemma":[0.00010686184,0.0001112709,0.006244825,0.000026012214,0.000050651655,0.0005442181,0.00024235291,0.030834496,0.0006173978,0.95814013,0.0030376418,0.00004415679],"about_ca_topic_score_codex":0.0007535786,"about_ca_topic_score_gemma":0.0005664647,"teacher_disagreement_score":0.01796038,"about_ca_system_score_codex":0.0005182368,"about_ca_system_score_gemma":0.00062625326,"threshold_uncertainty_score":0.06008345},"labels":[],"label_agreement":null},{"id":"W2186038496","doi":"10.1002/jae.2515","title":"State Prices of Conditional Quantiles: New Evidence on Time Variation in the Pricing Kernel","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Stochastic discount factor; Econometrics; Quantile; Economics; Volatility (finance); Capital asset pricing model; Downside risk; Stochastic volatility; Financial economics","score_opus":0.05642005155476824,"score_gpt":0.23156089419864914,"score_spread":0.1751408426438809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186038496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90481055,0.0007565603,0.085942104,0.0010072776,0.000046575733,0.000017764938,0.0010476563,0.00025792074,0.00611349],"genre_scores_gemma":[0.9975362,0.00013443953,0.0015891795,0.00003245234,0.00002667019,0.0000050224326,0.0003705287,0.000028324608,0.00027722865],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873847,0.00038186877,0.00009729043,0.0003497037,0.00031064192,0.00012207842],"domain_scores_gemma":[0.93321943,0.04038353,0.013159271,0.008848453,0.0034432488,0.00094605127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051298263,0.00019142417,0.00049766107,0.001355578,0.00031657057,0.0022729123,0.0010521124,0.0007477055,0.0035285417],"category_scores_gemma":[0.051959928,0.00036146113,0.0007183032,0.001969953,0.0017124726,0.0028537172,0.0010249872,0.002245562,0.00032361198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003894087,0.00026202496,0.5591053,0.0001361938,0.0005429765,0.00038819216,0.0019381215,0.08238684,0.0024163802,0.26288238,0.0047697634,0.08478246],"study_design_scores_gemma":[0.000043746993,0.00010386835,0.4630914,0.00006668063,0.00015446007,0.000269982,0.00036622275,0.29978228,0.0015047442,0.229862,0.004578044,0.00017660634],"about_ca_topic_score_codex":0.006954226,"about_ca_topic_score_gemma":0.002869885,"teacher_disagreement_score":0.006954226,"about_ca_system_score_codex":0.00066353765,"about_ca_system_score_gemma":0.0003856426,"threshold_uncertainty_score":0.027129471},"labels":[],"label_agreement":null},{"id":"W2186128384","doi":"","title":"The Cross-section of Managerial Ability and Risk Preferences","year":2007,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Portfolio; Economics; Econometrics; Risk aversion (psychology); Structural estimation; Welfare; Actuarial science; Microeconomics; Financial economics; Expected utility hypothesis","score_opus":0.025291437943783062,"score_gpt":0.23440550634822202,"score_spread":0.20911406840443897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186128384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98972553,0.0002777827,0.0067504286,0.00022607578,0.0000064353626,0.000019967687,0.0005063,0.000021815236,0.0024655121],"genre_scores_gemma":[0.99739254,0.00014805819,0.0008393957,0.00003303722,0.000016152655,0.000017299648,0.00045032438,0.0000030907365,0.0011000746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915624,0.00029457262,0.00006091942,0.00019497004,0.00013903707,0.00015441324],"domain_scores_gemma":[0.9821988,0.010947377,0.0043571503,0.0015930856,0.0003598341,0.00054381613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003898282,0.00034797454,0.0004761365,0.001484321,0.00025833034,0.001392148,0.00045286055,0.00075497775,0.0053894934],"category_scores_gemma":[0.010646607,0.00027175635,0.00058063515,0.0012842452,0.0004281503,0.0010164309,0.0009953703,0.0008025415,0.00082586997],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023390357,0.00026538843,0.935316,0.000055270066,0.0005198085,0.00037504046,0.0007835151,0.01720021,0.0020364993,0.018076103,0.0011452541,0.023993],"study_design_scores_gemma":[0.000044398646,0.00043868477,0.86692894,0.000046824465,0.00024649678,0.0009369297,0.001019346,0.09541187,0.002113009,0.029067168,0.0036752508,0.000071090115],"about_ca_topic_score_codex":0.0014618636,"about_ca_topic_score_gemma":0.001562365,"teacher_disagreement_score":0.0053894934,"about_ca_system_score_codex":0.00037171628,"about_ca_system_score_gemma":0.00016993057,"threshold_uncertainty_score":0.020616293},"labels":[],"label_agreement":null},{"id":"W2186402784","doi":"","title":"How useful are historical data for forecasting the long-run equity premium?","year":2006,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Economics; Equity premium puzzle; Equity (law); Structural break; Sample (material); Risk premium","score_opus":0.18896353802215243,"score_gpt":0.2532124492662726,"score_spread":0.06424891124412019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186402784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5850125,0.019165562,0.36186248,0.011994621,0.0012654025,0.00012436802,0.009295291,0.00058747455,0.0106922975],"genre_scores_gemma":[0.9645649,0.00414401,0.026852634,0.00022971295,0.0005936493,0.00004266341,0.002676896,0.000038461887,0.0008570025],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992156,0.0003385046,0.0000863591,0.00016033031,0.00014058122,0.000058646914],"domain_scores_gemma":[0.98124576,0.011978354,0.0026483466,0.0019437699,0.0016656829,0.0005180895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046845675,0.0008059807,0.00080618303,0.002259415,0.00036947144,0.0024923424,0.0010201611,0.0019435781,0.0021209791],"category_scores_gemma":[0.035252266,0.00048633444,0.00037053652,0.0018844886,0.0005123299,0.0072108423,0.00062339037,0.0016077529,0.00061206263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036242214,0.00031568392,0.4140154,0.0004832749,0.0006625433,0.0004655013,0.0002745554,0.2063995,0.0026208332,0.035710167,0.008315119,0.33037496],"study_design_scores_gemma":[0.00006937475,0.00029715616,0.12941693,0.00059378403,0.00030428774,0.00037217388,0.0006168221,0.7140181,0.0033824714,0.13856621,0.012165476,0.00019719727],"about_ca_topic_score_codex":0.0046708295,"about_ca_topic_score_gemma":0.005946211,"teacher_disagreement_score":0.0046845675,"about_ca_system_score_codex":0.00044613332,"about_ca_system_score_gemma":0.00040848448,"threshold_uncertainty_score":0.02477467},"labels":[],"label_agreement":null},{"id":"W2186411286","doi":"","title":"The Private Value of Speed: Systematic Advantages of Fast Liquidity Providers á","year":2014,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Equity (law); Event study; Market maker; Business; Monetary economics; Value (mathematics); High-frequency trading; Stock (firearms); Stock exchange; Financial economics; Economics; Stock market; Finance; Computer science; Engineering","score_opus":0.01668607279096357,"score_gpt":0.2086281252453685,"score_spread":0.19194205245440493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186411286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99073213,0.0001879724,0.0033382545,0.00061092374,0.000009197683,0.000010152497,0.000111666566,0.000020796479,0.0049789585],"genre_scores_gemma":[0.99944407,0.000028439794,0.0001947266,0.000023006003,0.000009786861,0.0000019564036,0.000013120231,0.0000028451961,0.00028206274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996086,0.00012807517,0.000019792104,0.000086904816,0.000071916606,0.00008472764],"domain_scores_gemma":[0.9826544,0.007770114,0.00620086,0.0018054147,0.0005990472,0.0009701187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001771974,0.0001502238,0.0003203221,0.000659708,0.0005825923,0.0024916728,0.00034094643,0.0009657619,0.00620203],"category_scores_gemma":[0.020357639,0.00028610244,0.00020472327,0.0005231667,0.0015579781,0.0028054002,0.0010582635,0.0008578758,0.00036005434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025460536,0.00038222445,0.7593216,0.00019272148,0.00033874164,0.0008161481,0.0023792991,0.030672777,0.021337045,0.11311574,0.002918483,0.06597922],"study_design_scores_gemma":[0.0003038702,0.000868994,0.7119071,0.00007699891,0.00028185884,0.0007559475,0.0029435393,0.10265884,0.0053929132,0.17005606,0.004592979,0.00016087425],"about_ca_topic_score_codex":0.0016816877,"about_ca_topic_score_gemma":0.0018492964,"teacher_disagreement_score":0.00620203,"about_ca_system_score_codex":0.00059739716,"about_ca_system_score_gemma":0.00033845808,"threshold_uncertainty_score":0.0207479},"labels":[],"label_agreement":null},{"id":"W2187729743","doi":"10.1177/0256090920020103","title":"Contrarian and Momentum Strategies in the Indian Capital Market","year":2002,"lang":"en","type":"article","venue":"Vikalpa The Journal for Decision Makers","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thomson Reuters (Canada)","funders":"","keywords":"Contrarian; Momentum (technical analysis); Portfolio; Economics; Financial economics; Stock (firearms); Term (time); Monetary economics; Investment strategy; Market liquidity; Physics","score_opus":0.03259823234798412,"score_gpt":0.23214484688762693,"score_spread":0.1995466145396428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187729743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792532,0.0003117436,0.0069317864,0.00026965627,0.000011824179,0.000017809694,0.000023998404,0.000029796965,0.013150255],"genre_scores_gemma":[0.9983071,0.000076051045,0.00046390906,0.00002104826,0.0000055307396,0.0000035972394,0.000009365832,0.0000017961951,0.0011116874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99962735,0.000088873756,0.000021836478,0.000057689467,0.00009945048,0.0001047978],"domain_scores_gemma":[0.9983847,0.0004562482,0.0006378735,0.00014567528,0.00015060141,0.00022489589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081178505,0.00022419308,0.0003436014,0.00080627645,0.00049523235,0.0026442711,0.00043981802,0.00048630984,0.0021778657],"category_scores_gemma":[0.0041724253,0.00013501362,0.00032578318,0.00047196122,0.0011293348,0.0015740441,0.00062194886,0.00055260403,0.00021484206],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001575753,0.00069336366,0.15417548,0.00015953858,0.0003395744,0.0026213555,0.0026221406,0.052341394,0.019513467,0.63100463,0.0023793657,0.13257407],"study_design_scores_gemma":[0.00019156201,0.0007234758,0.18168204,0.00005396426,0.00023204705,0.0022286717,0.0021828103,0.40422693,0.005813128,0.39569235,0.0067890123,0.00018394776],"about_ca_topic_score_codex":0.004174403,"about_ca_topic_score_gemma":0.002684881,"teacher_disagreement_score":0.004174403,"about_ca_system_score_codex":0.00080503966,"about_ca_system_score_gemma":0.00060285005,"threshold_uncertainty_score":0.008300245},"labels":[],"label_agreement":null},{"id":"W2189199708","doi":"10.2139/ssrn.1572628","title":"Do Institutional Investors Have an Ace Up Their Sleeves? Evidence from Confidential Filings of Portfolio Holdings","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Confidentiality; Business; Institutional investor; Portfolio; Asset (computer security); Private information retrieval; Hedge fund; Quarter (Canadian coin); Finance; Monetary economics; Accounting; Economics; Corporate governance","score_opus":0.030669112284855176,"score_gpt":0.23795356832380551,"score_spread":0.20728445603895035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189199708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941093,0.00038685775,0.00011197745,0.0007101742,0.000021056198,0.000007124426,0.00043190533,0.0000058318196,0.0042158817],"genre_scores_gemma":[0.99823546,0.0003027313,0.000051706334,0.0000882236,0.000054172633,0.0000035852445,0.00036983227,0.0000024288863,0.0008918986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977742,0.0006188892,0.00034080207,0.00022030606,0.0006041155,0.0004416679],"domain_scores_gemma":[0.7567892,0.073746376,0.1405968,0.012895251,0.009423002,0.006549427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051843366,0.00021331424,0.00032032028,0.001918673,0.0007280476,0.002585906,0.0011549328,0.0015722039,0.006712569],"category_scores_gemma":[0.07164181,0.00032247155,0.00020447903,0.0027783874,0.000966403,0.0026860968,0.0012680093,0.0012213541,0.0015074235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005879876,0.0001980382,0.9819155,0.000034941753,0.00010212923,0.00020932885,0.0009006773,0.00014048557,0.00015812594,0.0009793538,0.0017068239,0.013066546],"study_design_scores_gemma":[0.00004880584,0.00018214474,0.99232906,0.000066587505,0.00009280969,0.00020624298,0.0021110158,0.00047575898,0.0005721827,0.0012332784,0.002658543,0.000023613793],"about_ca_topic_score_codex":0.0046844427,"about_ca_topic_score_gemma":0.005598278,"teacher_disagreement_score":0.006712569,"about_ca_system_score_codex":0.00033610486,"about_ca_system_score_gemma":0.00035481603,"threshold_uncertainty_score":0.02741772},"labels":[],"label_agreement":null},{"id":"W2189902542","doi":"10.1007/s11156-015-0543-z","title":"The return premiums to accruals quality","year":2015,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Decile; Accrual; Economics; Econometrics; Portfolio; Earnings; Actuarial science; Financial economics; Statistics; Mathematics; Finance","score_opus":0.13092113672711492,"score_gpt":0.3436143795473827,"score_spread":0.2126932428202678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189902542","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3195055,0.41940522,0.105526224,0.06370306,0.0029972792,0.00013195803,0.00176938,0.0005907179,0.08637071],"genre_scores_gemma":[0.8931175,0.085130066,0.0039249244,0.002748099,0.0057383035,0.000038343685,0.00038107953,0.00012664072,0.008795065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976642,0.00072790147,0.0001652628,0.00039680416,0.0008334034,0.00021238871],"domain_scores_gemma":[0.9697668,0.018930681,0.0058876984,0.0018127227,0.002673279,0.00092891086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045371563,0.0009288524,0.0013491748,0.0036949692,0.00031615826,0.0048402552,0.0010081467,0.0019197663,0.0062535475],"category_scores_gemma":[0.048021343,0.00054349663,0.00070983445,0.003682046,0.0035910886,0.005711177,0.0017099483,0.004356692,0.0012141267],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033747128,0.00027044164,0.06122084,0.00096012925,0.0005605936,0.00026275948,0.00043788258,0.011995558,0.0020014772,0.57532495,0.018975662,0.32765228],"study_design_scores_gemma":[0.00007961707,0.00014149706,0.13042274,0.0006404572,0.00027826946,0.00068233,0.000334369,0.014317079,0.00096088706,0.8173026,0.034723397,0.00011681309],"about_ca_topic_score_codex":0.0020587025,"about_ca_topic_score_gemma":0.0010309961,"teacher_disagreement_score":0.0062535475,"about_ca_system_score_codex":0.0017240125,"about_ca_system_score_gemma":0.000748459,"threshold_uncertainty_score":0.023995042},"labels":[],"label_agreement":null},{"id":"W2189910180","doi":"10.6082/27znj-3ah15","title":"Conditional Market Exposures of the Value Premium","year":2016,"lang":"en","type":"article","venue":"Knowledge@UChicago (University of Chicago)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Value premium; Economics; BETA (programming language); Financial economics; Equity (law); Market value; Econometrics; Value (mathematics); Cash flow; Capital asset pricing model; Risk premium; Equity premium puzzle; Excess return; Monetary economics; Mathematics; Statistics; Finance","score_opus":0.016305758663505688,"score_gpt":0.18022186038380564,"score_spread":0.16391610172029994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189910180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97809166,0.0001952525,0.00811214,0.0002009102,0.000016003672,0.00002566214,0.00036852426,0.0001321602,0.012857782],"genre_scores_gemma":[0.998784,0.000041303458,0.0001922311,0.000013959452,0.000013037179,0.0000053288963,0.00012332921,0.0000058769224,0.0008210347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964726,0.00005435256,0.000027373851,0.000097679105,0.00008969362,0.00008352961],"domain_scores_gemma":[0.9921698,0.0039543784,0.0021493053,0.0006864884,0.00046998632,0.0005699629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012150325,0.00028770478,0.0002926239,0.0009156635,0.00014777208,0.0017038009,0.00035606706,0.000754776,0.012423633],"category_scores_gemma":[0.011585562,0.00017800886,0.00042413958,0.00049522833,0.00054418604,0.0021625338,0.00068565505,0.0010640018,0.00071309437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006054719,0.0005501021,0.70622224,0.00015262415,0.000518315,0.00084242824,0.0007155244,0.021464605,0.01930889,0.14973521,0.003046672,0.09683797],"study_design_scores_gemma":[0.000028848219,0.00029034205,0.874593,0.00003273498,0.00016134682,0.00063335994,0.00028811116,0.04055209,0.0033137698,0.078439586,0.0016028103,0.000064124266],"about_ca_topic_score_codex":0.00086828374,"about_ca_topic_score_gemma":0.0006027995,"teacher_disagreement_score":0.012423633,"about_ca_system_score_codex":0.00041422847,"about_ca_system_score_gemma":0.00019162946,"threshold_uncertainty_score":0.041561186},"labels":[],"label_agreement":null},{"id":"W2190738801","doi":"10.2139/ssrn.2660829","title":"Multi-Market Trading and Cross-Asset Integration","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; McGill University","funders":"","keywords":"Download; Asset (computer security); Computer science; Business; World Wide Web; Computer security","score_opus":0.03979986613649106,"score_gpt":0.2531672084747848,"score_spread":0.21336734233829374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2190738801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97498626,0.0016520334,0.015398262,0.00047811924,0.000044835393,0.000008581461,0.000041966676,0.00004349534,0.0073463386],"genre_scores_gemma":[0.99783033,0.00018069902,0.0006273602,0.000017441285,0.000022640723,0.0000020744844,0.000025617575,0.000005154022,0.0012886788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999696,0.000088153625,0.000024943081,0.00006822953,0.000050200502,0.000072566116],"domain_scores_gemma":[0.99559706,0.002215014,0.0010541931,0.00031812073,0.00025389655,0.0005618552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012390215,0.0003346443,0.0007429021,0.0010326338,0.00055114087,0.003596122,0.0007414787,0.0012959242,0.0068626176],"category_scores_gemma":[0.008463127,0.00031273178,0.0006617151,0.0008969397,0.0009111089,0.0045333416,0.0019839515,0.0013201827,0.00040542823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016360596,0.0010372556,0.2654639,0.00018374603,0.0015333102,0.0064986786,0.001247945,0.085489236,0.009407285,0.48249894,0.0026378967,0.14236578],"study_design_scores_gemma":[0.00010628563,0.00023071101,0.16230278,0.00007374768,0.0003301042,0.0015349061,0.0008827314,0.30467016,0.0015371181,0.52657527,0.0016782014,0.00007790719],"about_ca_topic_score_codex":0.0010419749,"about_ca_topic_score_gemma":0.0010539457,"teacher_disagreement_score":0.0068626176,"about_ca_system_score_codex":0.00044908933,"about_ca_system_score_gemma":0.0002374242,"threshold_uncertainty_score":0.022957742},"labels":[],"label_agreement":null},{"id":"W2192697801","doi":"10.2139/ssrn.2656412","title":"Option-Based Estimation of the Price of Co-Skewness and Co-Kurtosis Risk","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Kurtosis; Skewness; Econometrics; Estimation; Economics; Environmental science; Statistics; Mathematics","score_opus":0.0185853805829905,"score_gpt":0.22560515481815765,"score_spread":0.20701977423516715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2192697801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60396636,0.0004892563,0.39278018,0.00024704364,0.00005095392,0.000036691526,0.00020540814,0.00031215593,0.0019119579],"genre_scores_gemma":[0.9663893,0.00010684269,0.032369174,0.00002348762,0.000034916477,0.000018900806,0.00023923743,0.00003127291,0.0007868584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993298,0.00035976397,0.000044479584,0.00007880823,0.00012947884,0.000057770663],"domain_scores_gemma":[0.9897647,0.008328392,0.0005605467,0.00033732818,0.00069401413,0.00031503616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003199763,0.0005692603,0.0009491882,0.0012938597,0.00029413152,0.0017588281,0.0015267127,0.0015535015,0.0027105566],"category_scores_gemma":[0.015349895,0.00061246817,0.0006825949,0.0010628965,0.00055754546,0.0022966769,0.0011209928,0.0012594867,0.00032085602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079748564,0.0001923921,0.020817451,0.00011700326,0.00030520905,0.0003820314,0.00008605291,0.90152943,0.005428992,0.027580326,0.00063971995,0.04212392],"study_design_scores_gemma":[0.000006825905,0.000010613101,0.0009700735,0.0000026403013,0.0000045753554,0.000018186867,0.000003721217,0.9971035,0.00021469021,0.0016356993,0.00002195829,0.0000075289104],"about_ca_topic_score_codex":0.0030302135,"about_ca_topic_score_gemma":0.0026420334,"teacher_disagreement_score":0.003199763,"about_ca_system_score_codex":0.0005530527,"about_ca_system_score_gemma":0.0007659551,"threshold_uncertainty_score":0.016922116},"labels":[],"label_agreement":null},{"id":"W2193390410","doi":"10.2139/ssrn.2702273","title":"Do Investors Trade Too Much? A Laboratory Experiment","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Crash; Financial economics; Economics; Monetary economics; Asset (computer security); Algorithmic trading; Business","score_opus":0.032651260816504456,"score_gpt":0.2283526199872081,"score_spread":0.19570135917070364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2193390410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99103874,0.00016499558,0.0018005304,0.0016459177,0.00023412546,0.00028264872,0.00040464225,0.00011450642,0.004313851],"genre_scores_gemma":[0.98622024,0.00024665086,0.0029952065,0.0017822903,0.0002312955,0.00064420485,0.0003199302,0.00004959423,0.007510634],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99922717,0.00021250488,0.00006402264,0.00024323129,0.00013358006,0.00011955976],"domain_scores_gemma":[0.98404986,0.009401257,0.0025752073,0.0023512717,0.00027959168,0.0013427609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026167638,0.0009840366,0.00088472525,0.0003349354,0.00055149663,0.0017970633,0.0011182916,0.003875632,0.013305921],"category_scores_gemma":[0.009250389,0.0005811213,0.0004884602,0.0002441783,0.0018475051,0.0018792071,0.0009698429,0.0028849028,0.0015171798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.17646293,0.17252363,0.056215856,0.002040355,0.0022610638,0.004864454,0.0023932368,0.006850833,0.40491915,0.04592246,0.02808509,0.09746093],"study_design_scores_gemma":[0.14809766,0.2941831,0.074671164,0.0004183378,0.0037052126,0.0060127885,0.002892476,0.055269763,0.20424797,0.1690526,0.040646527,0.0008024177],"about_ca_topic_score_codex":0.0002776593,"about_ca_topic_score_gemma":0.0001982462,"teacher_disagreement_score":0.013305921,"about_ca_system_score_codex":0.00026964775,"about_ca_system_score_gemma":0.00049013057,"threshold_uncertainty_score":0.04451275},"labels":[],"label_agreement":null},{"id":"W2196913692","doi":"10.2139/ssrn.1717246","title":"One Security, Four Markets: Canada-US Cross-Listed Options and Underlying Equities","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; Université du Québec à Montréal; McGill University","funders":"","keywords":"Business; Financial system; Financial economics; Economics","score_opus":0.030003026777362933,"score_gpt":0.2364393790547732,"score_spread":0.20643635227741025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2196913692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676011,0.002908797,0.00059312274,0.0020636395,0.000034020486,0.000053151078,0.0016709511,0.000023618959,0.025051674],"genre_scores_gemma":[0.99143046,0.0009032117,0.0003949145,0.000100909165,0.000014647157,0.0000082897595,0.000936186,0.0000067505325,0.00620463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999705,0.000029845998,0.000012454674,0.000036839672,0.00008304213,0.00013265401],"domain_scores_gemma":[0.9981566,0.0005851722,0.00029692045,0.00006035884,0.00054263824,0.00035839085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000730202,0.0005853282,0.0006869854,0.0012700078,0.0024538122,0.004042339,0.0012019966,0.0011151709,0.008113657],"category_scores_gemma":[0.0042111427,0.00014873662,0.00045693072,0.0023365316,0.0017937118,0.0026738655,0.0011326381,0.0012657245,0.0002546085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003899175,0.0010671199,0.40209273,0.0008785497,0.00060976314,0.0022842893,0.0025256341,0.08951354,0.002363774,0.3601769,0.056278385,0.07831023],"study_design_scores_gemma":[0.0010452914,0.0006222455,0.557306,0.00037033219,0.0015821778,0.00061926653,0.022519985,0.19601935,0.005357285,0.16568568,0.048301682,0.0005707906],"about_ca_topic_score_codex":0.92961305,"about_ca_topic_score_gemma":0.95811576,"teacher_disagreement_score":0.070386946,"about_ca_system_score_codex":0.013962865,"about_ca_system_score_gemma":0.010969625,"threshold_uncertainty_score":0.14160287},"labels":[],"label_agreement":null},{"id":"W2198234246","doi":"10.2139/ssrn.1572707","title":"Idiosyncratic Risk and the Cross-Section of Realized Returns: Reconciling the Aggregate Returns’ Predictability Evidence","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Predictability; Aggregate (composite); Systematic risk; Economics; Section (typography); Econometrics; Financial economics; Business; Mathematics; Statistics","score_opus":0.0215707181837934,"score_gpt":0.24024906689503844,"score_spread":0.21867834871124503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2198234246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979757,0.0007485107,0.015626501,0.00088618725,0.000027816961,0.0000047266994,0.00009264888,0.00006156937,0.0027950935],"genre_scores_gemma":[0.99891937,0.00024716224,0.0003899973,0.000048942817,0.00007576277,0.0000019132215,0.00008293779,0.000012303759,0.00022159328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991763,0.00025217526,0.00006852929,0.00020707733,0.00015249134,0.00014339315],"domain_scores_gemma":[0.96892214,0.018432865,0.0053287074,0.005581626,0.0010679947,0.0006667835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004805149,0.0004443592,0.00096883444,0.0014184647,0.00037820247,0.0025929974,0.0009892338,0.0011213169,0.0025659024],"category_scores_gemma":[0.02186315,0.0005060384,0.0008703948,0.0019428993,0.0014266233,0.0038390553,0.0018586941,0.0019087555,0.00037330596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092237076,0.00023652954,0.7242504,0.00014478037,0.0015800248,0.000853178,0.0010709305,0.0790066,0.0020815593,0.10289552,0.0027003752,0.08425771],"study_design_scores_gemma":[0.00007558285,0.00025548923,0.5894995,0.000050634484,0.00056166557,0.0004887133,0.00049583317,0.16178076,0.0022345756,0.24274184,0.0017119243,0.00010349371],"about_ca_topic_score_codex":0.0016161774,"about_ca_topic_score_gemma":0.0012516041,"teacher_disagreement_score":0.004805149,"about_ca_system_score_codex":0.0004385593,"about_ca_system_score_gemma":0.00031584734,"threshold_uncertainty_score":0.02541238},"labels":[],"label_agreement":null},{"id":"W2198484562","doi":"","title":"Familiarity Breeds Institutional Investment: Evidence from US Defined Benefit Pension Plans","year":2010,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Pension; Business; Equity (law); Portfolio; Finance; Real estate; Pension plan; Private equity; Institutional investor; Accounting; Actuarial science; Corporate governance","score_opus":0.04540848515193905,"score_gpt":0.21847496206257022,"score_spread":0.17306647691063118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2198484562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972772,0.00043653772,0.00013598596,0.00025142558,0.0000039811607,0.0000066188454,0.00015326876,0.000002418545,0.0017326094],"genre_scores_gemma":[0.9990681,0.00021326765,0.000062648505,0.000073896874,0.000012878229,0.000003237347,0.00014712864,0.0000018160218,0.00041710288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990012,0.0003570787,0.00008264494,0.00017410512,0.00023662944,0.00014838327],"domain_scores_gemma":[0.97268796,0.0077131195,0.015394729,0.0017775678,0.00087920367,0.0015474863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001976643,0.00014250155,0.00026097972,0.0007581255,0.0005418001,0.0011717197,0.000396122,0.00045063614,0.0048088785],"category_scores_gemma":[0.015280337,0.00018076005,0.00024891144,0.0009940488,0.0007515129,0.0010477663,0.0012898203,0.0005177613,0.00040251648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017990949,0.00009765739,0.98915476,0.000013473897,0.000071577924,0.00010134947,0.00051739573,0.00008827575,0.000128128,0.00030030374,0.00034927556,0.008997972],"study_design_scores_gemma":[0.00001195238,0.00009722561,0.99725854,0.000009946829,0.000040925133,0.00010748899,0.0006778741,0.00016849059,0.0001985643,0.00025574188,0.0011677186,0.0000055934906],"about_ca_topic_score_codex":0.011905885,"about_ca_topic_score_gemma":0.015644904,"teacher_disagreement_score":0.011905885,"about_ca_system_score_codex":0.0005059989,"about_ca_system_score_gemma":0.0003258186,"threshold_uncertainty_score":0.023673177},"labels":[],"label_agreement":null},{"id":"W2198947904","doi":"10.2139/ssrn.2361514","title":"Liquidity Improvement, Exchange-Traded Funds Flows and Mispricing","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Market liquidity; Business; Monetary economics; Financial system; Finance; Economics","score_opus":0.01623004340601391,"score_gpt":0.1986288511564629,"score_spread":0.18239880775044898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2198947904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971143,0.001005122,0.0002923362,0.0003088755,0.000010407929,0.000002953106,0.00008462591,0.00000963546,0.0011717534],"genre_scores_gemma":[0.9992574,0.00013744282,0.0000696424,0.000017900049,0.000028353435,0.0000012015411,0.00004043082,0.0000017900655,0.00044583657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997086,0.000095169125,0.000038998,0.000041797033,0.00004584342,0.00006960518],"domain_scores_gemma":[0.98659116,0.0074728453,0.0044458113,0.00039903735,0.00026280305,0.000828231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015269011,0.00026872946,0.00039296952,0.0008058962,0.0002571898,0.0020662271,0.0003305004,0.0014824106,0.005300504],"category_scores_gemma":[0.012981532,0.00014888078,0.00035082165,0.0006716432,0.00067510863,0.0021301769,0.0005373422,0.0011395753,0.00038525643],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010144387,0.0015197837,0.89703435,0.0002988928,0.00063833944,0.002401221,0.00057961437,0.016952844,0.0067997393,0.0126735335,0.0015566517,0.04940062],"study_design_scores_gemma":[0.0002876523,0.0015951084,0.92840666,0.000047783797,0.00046230442,0.0011529977,0.0006169434,0.02224336,0.0022611371,0.04187827,0.0009805697,0.00006720408],"about_ca_topic_score_codex":0.0006582396,"about_ca_topic_score_gemma":0.0008429817,"teacher_disagreement_score":0.005300504,"about_ca_system_score_codex":0.00038484894,"about_ca_system_score_gemma":0.00030547354,"threshold_uncertainty_score":0.017731905},"labels":[],"label_agreement":null},{"id":"W2199680707","doi":"","title":"Gender Differences and Factors that Affect Mutual Fund Investment Decision of Western Canadian Investors","year":2012,"lang":"en","type":"article","venue":"Al-Barkaat Journal of Finance & Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mutual fund; Affect (linguistics); Feeling; Manager of managers fund; Investment (military); Business; Investment decisions; Perception; Closed-end fund; Finance; Psychology; Behavioral economics; Social psychology; Political science","score_opus":0.08128090913595244,"score_gpt":0.24830802434192267,"score_spread":0.16702711520597024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2199680707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963425,0.0001520625,0.000024059986,0.00019765072,0.000004950666,0.0000043014347,0.00005967103,8.0887725e-7,0.0032140461],"genre_scores_gemma":[0.99820065,0.0001272972,0.000047304424,0.000039074548,0.0000020514503,0.0000018409596,0.00004516567,8.073295e-7,0.0015358209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996177,0.000041917054,0.000015885344,0.000033040622,0.00014662127,0.00014493463],"domain_scores_gemma":[0.99848914,0.00026374302,0.00043264762,0.00004214133,0.0003467306,0.00042560181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006942813,0.00015282196,0.00017450572,0.00053945853,0.0013466273,0.0010202033,0.00023847667,0.00026803475,0.003679851],"category_scores_gemma":[0.0034334639,0.000081929094,0.00015391216,0.0006340348,0.0005587589,0.00030259523,0.00036543372,0.00026191,0.00017292834],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018107558,0.00005350971,0.97003984,0.000020157651,0.000016512271,0.0002876005,0.012908294,0.00006044709,0.0008145076,0.0006517251,0.0009467093,0.014019586],"study_design_scores_gemma":[0.00000386167,0.00002636462,0.9863647,0.000021801183,0.000010851661,0.00007664311,0.0114950305,0.00014376793,0.00009730506,0.00009508952,0.0016543983,0.0000100884445],"about_ca_topic_score_codex":0.86209404,"about_ca_topic_score_gemma":0.92683375,"teacher_disagreement_score":0.13790596,"about_ca_system_score_codex":0.00473001,"about_ca_system_score_gemma":0.00406509,"threshold_uncertainty_score":0.2774362},"labels":[],"label_agreement":null},{"id":"W2200035096","doi":"10.2139/ssrn.2668277","title":"Enhancing Trading Strategies with Order Book Signals","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Order (exchange); Order book; Computer science; Business; Financial economics; Economics; Finance","score_opus":0.022072401377142493,"score_gpt":0.2158502161774005,"score_spread":0.193777814800258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2200035096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7660577,0.00048131077,0.21338415,0.0008160234,0.0002122338,0.00007490487,0.0001074796,0.0011316054,0.01773462],"genre_scores_gemma":[0.9877295,0.00009845393,0.010442804,0.00006792055,0.000048879407,0.000008865536,0.00002681573,0.000031399897,0.0015452924],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996018,0.0001265554,0.0000289317,0.000063829575,0.0001272514,0.000051630315],"domain_scores_gemma":[0.994553,0.0035667566,0.00065922417,0.00045568592,0.0004359313,0.0003294309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007858995,0.00050733227,0.00040576656,0.00037111752,0.0001305814,0.0016504594,0.00043633085,0.00084212224,0.003626827],"category_scores_gemma":[0.011567943,0.00023088416,0.0001651788,0.00036540427,0.0002507293,0.0018379014,0.0005572285,0.0008042223,0.0007303812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003302983,0.0022944221,0.018976104,0.00042463918,0.00021795157,0.0006372276,0.00038125625,0.1944774,0.2220968,0.07871701,0.004448004,0.47402617],"study_design_scores_gemma":[0.00023740654,0.0012874075,0.006258078,0.000027906937,0.00013109644,0.00021008935,0.000083954554,0.90323,0.036726836,0.049072444,0.0026911164,0.000043729357],"about_ca_topic_score_codex":0.00017736793,"about_ca_topic_score_gemma":0.0003170741,"teacher_disagreement_score":0.003626827,"about_ca_system_score_codex":0.00019984534,"about_ca_system_score_gemma":0.00035241645,"threshold_uncertainty_score":0.012132943},"labels":[],"label_agreement":null},{"id":"W2200855850","doi":"10.2139/ssrn.2580391","title":"Spurious Inference in Unidentified Asset-Pricing Models","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spurious relationship; Capital asset pricing model; Inference; Econometrics; Consumption-based capital asset pricing model; Economics; Financial economics; Computer science; Mathematics; Statistics; Artificial intelligence","score_opus":0.022078647986501197,"score_gpt":0.21842785065951087,"score_spread":0.19634920267300968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2200855850","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1794513,0.0009792981,0.8116752,0.0033879029,0.0003008339,0.00006542956,0.00029938528,0.0009448467,0.0028958365],"genre_scores_gemma":[0.9669542,0.00027002892,0.030066418,0.00043813052,0.00035296418,0.00003989941,0.00032999253,0.00010823774,0.0014400298],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9832549,0.010707763,0.001106112,0.0024283417,0.0017587846,0.0007440915],"domain_scores_gemma":[0.6475245,0.31873876,0.012098554,0.017334051,0.0027635084,0.0015407123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0354441,0.00092767575,0.0030808263,0.0022132169,0.0012972702,0.0048601516,0.004060224,0.0037398946,0.0034551092],"category_scores_gemma":[0.2533019,0.0020447294,0.0016162428,0.0024314113,0.0038312748,0.0056690397,0.0036558702,0.0053494284,0.00055046234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011579007,0.0003503841,0.0402788,0.00050921884,0.00091580185,0.002843627,0.0010744419,0.3362653,0.00088478165,0.55629617,0.005991136,0.05343252],"study_design_scores_gemma":[0.00009160662,0.000031839674,0.001574185,0.00002822736,0.00008622716,0.00021949565,0.000043759435,0.6934313,0.00041304182,0.30357262,0.00048170125,0.000025888165],"about_ca_topic_score_codex":0.0028515647,"about_ca_topic_score_gemma":0.002211901,"teacher_disagreement_score":0.0354441,"about_ca_system_score_codex":0.0013837459,"about_ca_system_score_gemma":0.0013594151,"threshold_uncertainty_score":0.18744856},"labels":[],"label_agreement":null},{"id":"W2201481401","doi":"10.5539/ijef.v8n1p111","title":"Alternative Estimating Methodologies of the UK Industry Cost of Equity Capital: The Impact of 2007 Financial Crisis and Market Volatility","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Capital asset pricing model; Financial crisis; Volatility (finance); Financial economics; Equity (law); Cost of capital; Cost of equity; Monetary economics; Macroeconomics; Microeconomics","score_opus":0.11642649402752467,"score_gpt":0.338806008340009,"score_spread":0.22237951431248434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2201481401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9305359,0.0015613233,0.056465447,0.0010929849,0.00011615889,0.0001454707,0.0026687796,0.00015953154,0.0072543877],"genre_scores_gemma":[0.9818672,0.00040482185,0.0140171405,0.00008715434,0.00003553039,0.00008545468,0.0024606374,0.000021471189,0.0010205007],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99706084,0.0017827103,0.0002528176,0.00035908681,0.00038222916,0.00016226049],"domain_scores_gemma":[0.97837687,0.015392172,0.0033378857,0.00087622664,0.0017914615,0.00022541528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052753775,0.0004854965,0.0004858722,0.0021472801,0.00027006018,0.001463149,0.00094305933,0.0008379618,0.0021944635],"category_scores_gemma":[0.040268283,0.00028716467,0.00076670287,0.0022872048,0.00037874997,0.0012038563,0.0013340546,0.00091152184,0.00026506372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008983818,0.0002166952,0.48344812,0.0004889959,0.0011019986,0.0005208478,0.0009432184,0.2819864,0.0007855009,0.04445844,0.012167677,0.17298378],"study_design_scores_gemma":[0.00017352766,0.00041940564,0.33738855,0.00023441935,0.00030700793,0.00029085728,0.0009778742,0.62841034,0.0015668226,0.024860397,0.005176749,0.00019411521],"about_ca_topic_score_codex":0.05578361,"about_ca_topic_score_gemma":0.03635089,"teacher_disagreement_score":0.05578361,"about_ca_system_score_codex":0.0017008408,"about_ca_system_score_gemma":0.0012008551,"threshold_uncertainty_score":0.11091781},"labels":[],"label_agreement":null},{"id":"W2201777603","doi":"10.2139/ssrn.2681280","title":"Risk-Adjusted Inside Debt","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Western University","funders":"","keywords":"Debt; Business; Economics; Monetary economics; Financial system; Econometrics; Actuarial science; Finance","score_opus":0.03000703402041097,"score_gpt":0.21454486491591185,"score_spread":0.18453783089550088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2201777603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90758026,0.0017309168,0.028131776,0.0020961876,0.00029539157,0.00008016771,0.009208013,0.00088333926,0.04999398],"genre_scores_gemma":[0.96337414,0.0004102549,0.0016487909,0.00012879865,0.00013719819,0.000022517457,0.004011091,0.00011218387,0.030154949],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993518,0.00009145997,0.00006114363,0.00022484447,0.00016534574,0.00010543727],"domain_scores_gemma":[0.9955813,0.0012025239,0.0017771178,0.0005588905,0.00056253956,0.00031750978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014880479,0.00052978715,0.0006485413,0.00087924505,0.00027567073,0.0027090155,0.00082857994,0.0012581707,0.009723452],"category_scores_gemma":[0.009024978,0.00042268453,0.00066999195,0.0009651694,0.0003807734,0.002129966,0.0005101405,0.0016898843,0.002172601],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012575906,0.0005468033,0.34921122,0.00035063512,0.0011522683,0.0015312812,0.00074752024,0.25944528,0.010643704,0.21926978,0.03202087,0.12382309],"study_design_scores_gemma":[0.00007958739,0.0005503163,0.49030927,0.00012478832,0.00059420697,0.0019434149,0.00043365906,0.316162,0.011564589,0.14781126,0.030209651,0.000217301],"about_ca_topic_score_codex":0.0041170926,"about_ca_topic_score_gemma":0.0040982105,"teacher_disagreement_score":0.009723452,"about_ca_system_score_codex":0.0010722122,"about_ca_system_score_gemma":0.00048795273,"threshold_uncertainty_score":0.03252822},"labels":[],"label_agreement":null},{"id":"W2204541170","doi":"10.5539/ijef.v8n1p99","title":"Empirical Test of Single Factor and Multi-Factor Asset Pricing Models: Evidence from Non Financial Firms on the Ghana Stock Exchange (GSE)","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Portfolio; Stock exchange; Economics; Consumption-based capital asset pricing model; Market portfolio; Financial economics; Stock (firearms); Econometrics; Finance","score_opus":0.18481086721650325,"score_gpt":0.2842422410986373,"score_spread":0.09943137388213408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2204541170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986602,0.00027019164,0.00023185354,0.00030110337,0.000004705956,0.000004503415,0.00008809127,0.0000041299813,0.00043529706],"genre_scores_gemma":[0.9994153,0.00012112071,0.00008521866,0.00002339759,0.000009455204,0.000001947273,0.00022337842,0.0000016990718,0.00011854818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989538,0.00063125574,0.000060453614,0.00013211362,0.00011350901,0.00010881931],"domain_scores_gemma":[0.9472167,0.042193368,0.0063558794,0.0018526171,0.0011083735,0.0012730398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039978526,0.00047383556,0.0005184055,0.0007994309,0.0004413074,0.0011208791,0.00071507774,0.0008204099,0.003715838],"category_scores_gemma":[0.023796659,0.00023731602,0.000684794,0.0010346397,0.0008380809,0.0016333627,0.0006156153,0.0010995803,0.00062610884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064876507,0.00036921675,0.97779685,0.000057047157,0.0002865382,0.00078335823,0.00082787423,0.0027941559,0.0002196378,0.0019964492,0.0007562499,0.013463933],"study_design_scores_gemma":[0.00019870469,0.0004847196,0.95270765,0.00006387166,0.00018853572,0.00045997245,0.0034109927,0.03683977,0.00040692967,0.0033282344,0.0018791347,0.00003145542],"about_ca_topic_score_codex":0.01790337,"about_ca_topic_score_gemma":0.008430363,"teacher_disagreement_score":0.01790337,"about_ca_system_score_codex":0.00062008324,"about_ca_system_score_gemma":0.00044826177,"threshold_uncertainty_score":0.035598278},"labels":[],"label_agreement":null},{"id":"W2205746712","doi":"10.21314/jor.2003.075","title":"Space–time diversification: which dimension is better?","year":2003,"lang":"en","type":"article","venue":"The Journal of Risk","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Diversification (marketing strategy); Portfolio; Asset allocation; Economics; Financial economics; Investment (military); Capital asset pricing model; Investment strategy; Actuarial science; Econometrics; Microeconomics; Business; Marketing","score_opus":0.019255731812837806,"score_gpt":0.1951439258270614,"score_spread":0.1758881940142236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2205746712","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28601056,0.25874874,0.07688294,0.3074229,0.0030122933,0.00010682786,0.00069398194,0.0001639125,0.066957854],"genre_scores_gemma":[0.9059517,0.05984979,0.017059047,0.010931582,0.0034584156,0.00006919645,0.00021493594,0.000068087866,0.002397307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982388,0.00082274934,0.00014907523,0.00026871136,0.00040236287,0.00011825956],"domain_scores_gemma":[0.990677,0.004258326,0.002223943,0.0008864458,0.000910059,0.0010442733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005133848,0.00075932103,0.00155593,0.0014806152,0.00077406695,0.0069094147,0.0010563682,0.002596685,0.0053300434],"category_scores_gemma":[0.014200789,0.00026878636,0.00092416763,0.0020778477,0.00578222,0.016343186,0.0026606368,0.0028366973,0.0006811402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000990337,0.00026070487,0.044037778,0.0019246478,0.0006915787,0.00024015288,0.0018485044,0.0072333054,0.002047441,0.5175363,0.015606332,0.40758288],"study_design_scores_gemma":[0.00012773326,0.0003355968,0.023931332,0.001058641,0.0002062489,0.00054554985,0.0033574728,0.0044526374,0.0007490745,0.9300278,0.035090376,0.0001174755],"about_ca_topic_score_codex":0.0017277284,"about_ca_topic_score_gemma":0.0017392881,"teacher_disagreement_score":0.0069094147,"about_ca_system_score_codex":0.0017448615,"about_ca_system_score_gemma":0.0013502557,"threshold_uncertainty_score":0.02715075},"labels":[],"label_agreement":null},{"id":"W2206839768","doi":"10.2139/ssrn.2660413","title":"Institutional Trading and Anomalies","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Queen's University","funders":"","keywords":"Business","score_opus":0.033253021076003225,"score_gpt":0.21062272771051715,"score_spread":0.17736970663451393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206839768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635182,0.0010165027,0.0124948295,0.0029861622,0.00012365282,0.000008426034,0.00044997904,0.0004383045,0.018964045],"genre_scores_gemma":[0.9987783,0.00011624421,0.00026404744,0.000021030257,0.00004558953,0.0000011379523,0.000070126734,0.000024504487,0.00067905313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999519,0.00014667699,0.00004349028,0.00010459455,0.00010654769,0.00007967445],"domain_scores_gemma":[0.99032557,0.004044259,0.0030661447,0.0014510417,0.00065314677,0.0004597724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012449684,0.00017301872,0.0003354203,0.0013971367,0.00039860123,0.0028596092,0.00046157485,0.0009055238,0.006658424],"category_scores_gemma":[0.019344466,0.00016287876,0.00027690138,0.0017905734,0.0010546145,0.002900695,0.0009522357,0.0011712896,0.0005595296],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008211554,0.00025632847,0.33540586,0.00009957614,0.00039719674,0.0013245125,0.00095052243,0.029525623,0.0030099112,0.49161756,0.013490278,0.123101436],"study_design_scores_gemma":[0.000075364864,0.000115298935,0.18340318,0.00005416449,0.00016388002,0.0015340854,0.0011057256,0.15219001,0.002064066,0.6468562,0.012361725,0.0000762963],"about_ca_topic_score_codex":0.001382114,"about_ca_topic_score_gemma":0.0011177799,"teacher_disagreement_score":0.006658424,"about_ca_system_score_codex":0.00059843576,"about_ca_system_score_gemma":0.00030220803,"threshold_uncertainty_score":0.022274673},"labels":[],"label_agreement":null},{"id":"W2208254758","doi":"","title":"주요국의 시장상황과 계속투자전략에 대한 분석","year":2010,"lang":"ko","type":"article","venue":"무역학회지","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Momentum (technical analysis); Overconfidence effect; Portfolio; Economics; Financial economics; Monetary economics","score_opus":0.02046867068315086,"score_gpt":0.2055856914689656,"score_spread":0.18511702078581474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2208254758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95283145,0.0005165799,0.0054349643,0.00055912044,0.000024555637,0.000046921,0.0004359464,0.000055224216,0.040095195],"genre_scores_gemma":[0.9959273,0.0001476258,0.0006282872,0.000026322832,0.000020030167,0.000006423002,0.0001896781,0.0000047507538,0.0030495063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996216,0.000032828895,0.000028282173,0.00007668033,0.00015871452,0.00008188707],"domain_scores_gemma":[0.99483407,0.0017130675,0.0020916418,0.00025044708,0.00083748694,0.00027333587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073301134,0.00017863596,0.00024274449,0.0015808903,0.00043726442,0.0018392081,0.00027853798,0.00027200414,0.0071666385],"category_scores_gemma":[0.006889977,0.00011565017,0.00022409692,0.0016343138,0.00034592813,0.0013925676,0.00045375133,0.00039909058,0.0010561072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031207502,0.00012005156,0.7862491,0.000077477416,0.00017617633,0.00042619006,0.0009690105,0.002553905,0.002523909,0.023341233,0.001648443,0.18160242],"study_design_scores_gemma":[0.000017291974,0.0001999236,0.9623338,0.00003349021,0.00012889659,0.00076174166,0.0017020932,0.008549726,0.0027008085,0.014864948,0.008657779,0.0000494974],"about_ca_topic_score_codex":0.0033410105,"about_ca_topic_score_gemma":0.0028634216,"teacher_disagreement_score":0.0071666385,"about_ca_system_score_codex":0.00067934097,"about_ca_system_score_gemma":0.0004962159,"threshold_uncertainty_score":0.023974717},"labels":[],"label_agreement":null},{"id":"W2210267523","doi":"10.1016/j.irfa.2015.06.001","title":"Earnings forecasts and idiosyncratic volatilities","year":2015,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Concordia University","funders":"","keywords":"Earnings; Cash flow; Economics; Equity (law); Proxy (statistics); Financial economics; Stock (firearms); Econometrics; Volatility (finance); Monetary economics; Finance; Statistics","score_opus":0.0353051322790274,"score_gpt":0.24875799451980057,"score_spread":0.21345286224077317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2210267523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49694672,0.2733528,0.10931659,0.03667891,0.0026426285,0.000044976765,0.006209902,0.00046084632,0.0743467],"genre_scores_gemma":[0.9294259,0.059517294,0.0029751763,0.00036101075,0.0019206279,0.000009333575,0.0011565308,0.000029843322,0.0046042874],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995838,0.000101447586,0.00003984518,0.00008466399,0.0001457889,0.00004461521],"domain_scores_gemma":[0.9909861,0.004881089,0.002662831,0.0003434704,0.000958429,0.0001680802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016396007,0.0005293604,0.0005031044,0.0014557954,0.00021525644,0.0026724418,0.00037510786,0.0011249743,0.0029108606],"category_scores_gemma":[0.019905826,0.00026652362,0.00026105213,0.002217285,0.00062990416,0.0031121296,0.0004937224,0.0015833216,0.00063538016],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033986682,0.00017396889,0.18943544,0.00065671233,0.00080475817,0.0004791064,0.00051040924,0.0864894,0.0010568344,0.1995448,0.040345464,0.48016316],"study_design_scores_gemma":[0.000071290924,0.0001402769,0.26764634,0.00089147105,0.0003876928,0.00054382184,0.00053011137,0.11919104,0.0011807922,0.5655158,0.043684423,0.0002169262],"about_ca_topic_score_codex":0.0037127433,"about_ca_topic_score_gemma":0.0031982637,"teacher_disagreement_score":0.0037127433,"about_ca_system_score_codex":0.0005044552,"about_ca_system_score_gemma":0.00040756556,"threshold_uncertainty_score":0.00973779},"labels":[],"label_agreement":null},{"id":"W2211181505","doi":"10.2139/ssrn.2334072","title":"Consumption-Investment Optimization Problem in a LLvy Financial Model with Transaction Costs","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Transaction cost; Investment (military); Business; Consumption (sociology); Finance; Financial modeling; Economics","score_opus":0.012640495077187642,"score_gpt":0.1904713225188078,"score_spread":0.17783082744162015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2211181505","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37896392,0.0036137493,0.5121759,0.022761602,0.00032369504,0.00033048898,0.0038931079,0.00047326888,0.07746422],"genre_scores_gemma":[0.9111865,0.0010778188,0.022029934,0.00046939717,0.00015161932,0.00025523434,0.0006158282,0.00010577317,0.06410789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999275,0.00036480982,0.000031824784,0.00016243702,0.000052311316,0.00011362274],"domain_scores_gemma":[0.9979582,0.0013221602,0.00029321967,0.00006996418,0.00009460585,0.00026182915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014287689,0.0011239161,0.0025691653,0.00094085693,0.00077995297,0.00381494,0.0020541218,0.0067253625,0.014165958],"category_scores_gemma":[0.0051323213,0.0013661061,0.0010535421,0.001301804,0.0017423392,0.003912097,0.0021512685,0.0032382957,0.0007852105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026162365,0.00019963636,0.0016635427,0.00021936932,0.00013255811,0.00079324096,0.00011029289,0.7739197,0.0005732825,0.20973182,0.0042590266,0.008135956],"study_design_scores_gemma":[0.000109142224,0.00007692902,0.0004900165,0.00003847539,0.000045643315,0.000111783855,0.000075506796,0.92119783,0.00017116904,0.07607511,0.0015819405,0.000026502623],"about_ca_topic_score_codex":0.0088026095,"about_ca_topic_score_gemma":0.0053875106,"teacher_disagreement_score":0.014165958,"about_ca_system_score_codex":0.0022348845,"about_ca_system_score_gemma":0.0017754897,"threshold_uncertainty_score":0.047389865},"labels":[],"label_agreement":null},{"id":"W2213167256","doi":"10.1017/s002210901500037x","title":"The Impact of Investability on Asset Valuation","year":2015,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; McGill University","funders":"","keywords":"Capital asset pricing model; Equity (law); Monetary economics; Valuation (finance); Financial economics; Business; Economics; Generality; Capital market; Finance","score_opus":0.11860765262789318,"score_gpt":0.3254957460996719,"score_spread":0.20688809347177872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2213167256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784774,0.0002543414,0.0093796225,0.00050741597,0.000012312413,0.000015200336,0.000395627,0.000028806598,0.010929233],"genre_scores_gemma":[0.9993381,0.00003817773,0.00021808736,0.000011722858,0.0000049643572,0.0000027284173,0.00006062233,0.0000020972734,0.00032343614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992471,0.00022467536,0.00005012119,0.000087889035,0.00013619363,0.0002541357],"domain_scores_gemma":[0.99042016,0.0044209035,0.003221906,0.00097224547,0.00039274566,0.0005720258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017505194,0.0004614611,0.0005149483,0.00048998155,0.00025524164,0.0021643508,0.00054387155,0.0005578022,0.0042488254],"category_scores_gemma":[0.011714603,0.00028354282,0.00038842086,0.0005270487,0.0010013593,0.002216378,0.00116289,0.001259366,0.00017812246],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009384881,0.00052015804,0.29444608,0.00011777537,0.00027980682,0.0010715069,0.00020102542,0.5286672,0.009935538,0.11924187,0.0021420415,0.042438496],"study_design_scores_gemma":[0.00012555298,0.00078862696,0.29559234,0.000092385766,0.00018322848,0.0006407827,0.00049372617,0.5379516,0.008580829,0.1506764,0.004744536,0.00013005987],"about_ca_topic_score_codex":0.0060827755,"about_ca_topic_score_gemma":0.0038730777,"teacher_disagreement_score":0.0060827755,"about_ca_system_score_codex":0.0010300595,"about_ca_system_score_gemma":0.0006124218,"threshold_uncertainty_score":0.014213741},"labels":[],"label_agreement":null},{"id":"W221407907","doi":"10.2139/ssrn.2583915","title":"Seeking and Hiding Fundamental Information in Order Flows","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Order (exchange); Computer science; Law and economics; Business; Economics","score_opus":0.020820371132624343,"score_gpt":0.20804575126145797,"score_spread":0.18722538012883364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W221407907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85905373,0.00047107216,0.116673194,0.0022896705,0.00006745072,0.000049009985,0.00023370789,0.00019252929,0.020969594],"genre_scores_gemma":[0.99303025,0.00018899038,0.0042684283,0.000058885264,0.000040918214,0.000008219089,0.000055182696,0.000023731973,0.0023253323],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988232,0.00037254178,0.00008377151,0.00018186163,0.000312233,0.00022634816],"domain_scores_gemma":[0.96293676,0.026193062,0.005347287,0.003497007,0.0010709071,0.00095494726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028434303,0.0003349993,0.000703063,0.0012715613,0.00079439726,0.0040460033,0.0007160563,0.0019084412,0.0068643563],"category_scores_gemma":[0.03844676,0.0007109189,0.0006346648,0.0012183238,0.0024344039,0.009827113,0.0017030679,0.0020193849,0.0005862092],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068027165,0.0001455702,0.01029715,0.00019977114,0.00004708315,0.0003308336,0.0015736776,0.022118108,0.0052173138,0.9265457,0.0015485253,0.031296056],"study_design_scores_gemma":[0.000052000407,0.00010164673,0.004518042,0.00003285309,0.000038823277,0.00017026278,0.00034646495,0.08580383,0.0024907477,0.9053885,0.0010167238,0.000040000003],"about_ca_topic_score_codex":0.0010142061,"about_ca_topic_score_gemma":0.000960815,"teacher_disagreement_score":0.0068643563,"about_ca_system_score_codex":0.0009663771,"about_ca_system_score_gemma":0.0010644596,"threshold_uncertainty_score":0.022963583},"labels":[],"label_agreement":null},{"id":"W2215417988","doi":"10.1017/s002210901700045x","title":"Mutual Fund Performance Evaluation and Best Clienteles","year":2017,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais; Université Laval","funders":"","keywords":"Business; Mutual fund; Economics; Finance","score_opus":0.1123968434688324,"score_gpt":0.31813847960968605,"score_spread":0.20574163614085367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2215417988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9632144,0.00076266564,0.012500048,0.00076786225,0.000011674643,0.000037823684,0.00005089247,0.000054634445,0.022599919],"genre_scores_gemma":[0.99888283,0.000031447365,0.00078312104,0.000014638253,0.000009040617,0.0000064616665,0.0000126149325,0.000004179723,0.0002557054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98393905,0.0062261117,0.0012631477,0.0012541608,0.0056471806,0.0016704036],"domain_scores_gemma":[0.92250234,0.03875812,0.020409252,0.005191738,0.008758217,0.0043802997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01845716,0.000635402,0.0011403668,0.0025001883,0.0013992771,0.0046248245,0.00090554706,0.0015062045,0.0023069563],"category_scores_gemma":[0.09944263,0.0002465434,0.00036304473,0.0011539959,0.0024715976,0.0052830777,0.0039728847,0.0014401267,0.00039925476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045128427,0.00081923406,0.4642037,0.0004605035,0.00062592945,0.0013224586,0.0054063317,0.10064381,0.012450938,0.16285653,0.002503202,0.24419458],"study_design_scores_gemma":[0.00032513775,0.0028341473,0.40440542,0.00059258455,0.00030870916,0.0021346647,0.0065455716,0.20544285,0.03482512,0.33530077,0.006830676,0.00045439662],"about_ca_topic_score_codex":0.00061814254,"about_ca_topic_score_gemma":0.00065093377,"teacher_disagreement_score":0.01845716,"about_ca_system_score_codex":0.0023412649,"about_ca_system_score_gemma":0.0009894039,"threshold_uncertainty_score":0.097611964},"labels":[],"label_agreement":null},{"id":"W2216125260","doi":"10.2139/ssrn.492724","title":"Bi-National News Effects and Exchange Rate Futures: The Case of Canadian Dollar Futures Contracts","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Futures contract; Liberian dollar; Financial economics; Economics; Exchange rate; Monetary economics; Us dollar; Forward market; Business; Finance","score_opus":0.012532527307017349,"score_gpt":0.2034671955884102,"score_spread":0.19093466828139286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2216125260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7838256,0.005636102,0.005023283,0.01650817,0.00015363366,0.000049658654,0.00066387694,0.00006976236,0.18806988],"genre_scores_gemma":[0.98349506,0.002130474,0.0005423148,0.00015610416,0.00006921599,0.000007083614,0.000104802566,0.000013232458,0.0134817595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99926955,0.0001252656,0.00002154803,0.000055636545,0.00015236456,0.00037561764],"domain_scores_gemma":[0.9945675,0.0030289679,0.0006004063,0.00024747732,0.000931043,0.00062459864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002841688,0.00046923073,0.00090293086,0.0013698654,0.003914418,0.006137065,0.0012995859,0.0043515926,0.011468727],"category_scores_gemma":[0.013067212,0.00041176664,0.00057800964,0.002821837,0.002740319,0.0043387795,0.0011980816,0.0031845265,0.00030408578],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006093929,0.000112130096,0.015278334,0.000091928,0.00007110918,0.0023184817,0.0016742258,0.060313072,0.0006802594,0.8883785,0.010742907,0.019729624],"study_design_scores_gemma":[0.00044289706,0.0001382966,0.05473121,0.00015299064,0.00047861147,0.001047769,0.009367122,0.28189856,0.0010707928,0.6039486,0.04634884,0.00037435268],"about_ca_topic_score_codex":0.7750043,"about_ca_topic_score_gemma":0.76778716,"teacher_disagreement_score":0.22499567,"about_ca_system_score_codex":0.011880479,"about_ca_system_score_gemma":0.00906571,"threshold_uncertainty_score":0.45264143},"labels":[],"label_agreement":null},{"id":"W2217084901","doi":"","title":"Globalization and Convergence of International Equity Markets","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Globalization; Financial economics; Stock market index; Stock exchange; Interdependence; Market integration; Financial market; Economics; Stock market; Convergence (economics); Stock (firearms); Business; Macroeconomics; Geography; Finance; Market economy; Political science","score_opus":0.02848929772702684,"score_gpt":0.23083400377793956,"score_spread":0.2023447060509127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2217084901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872593,0.0005065655,0.0039158994,0.00012320923,0.000009329455,0.000018144738,0.000043343956,0.000015666645,0.008108645],"genre_scores_gemma":[0.99919254,0.00016480025,0.0003628423,0.000009631299,0.000009680233,0.0000037830114,0.000025512483,0.000002465816,0.00022886293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988267,0.00041039422,0.000104742416,0.00023251312,0.00029058816,0.00013508272],"domain_scores_gemma":[0.99359834,0.002310457,0.0024854385,0.00065234286,0.0006726276,0.00028067408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023817478,0.00024493612,0.000328771,0.0018654197,0.00027128623,0.0019117557,0.00020641736,0.00047921223,0.002090153],"category_scores_gemma":[0.013718351,0.00015208016,0.0003221099,0.0014535513,0.0010512252,0.0020672588,0.0016881726,0.0003984884,0.00016912234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026759037,0.00011435963,0.8319969,0.00017611842,0.00028537159,0.00087831,0.007127544,0.02074883,0.005166594,0.0402606,0.00058016164,0.092397735],"study_design_scores_gemma":[0.000013733133,0.00017882716,0.95129967,0.00010285628,0.00007938216,0.0005062295,0.004226329,0.017317185,0.0020352642,0.019617481,0.0045879534,0.00003505688],"about_ca_topic_score_codex":0.0010057315,"about_ca_topic_score_gemma":0.0004755555,"teacher_disagreement_score":0.0023817478,"about_ca_system_score_codex":0.00044918526,"about_ca_system_score_gemma":0.00026513194,"threshold_uncertainty_score":0.012596011},"labels":[],"label_agreement":null},{"id":"W2218823895","doi":"10.2469/cfm.v22.n2.3","title":"The Impact of High-Frequency Trading on Markets","year":2011,"lang":"en","type":"article","venue":"CFA Magazine","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"High-frequency trading; Business; Monetary economics; Economics; Algorithmic trading; Finance","score_opus":0.04661696248539768,"score_gpt":0.22847831622303752,"score_spread":0.18186135373763984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2218823895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6469593,0.029416619,0.01052003,0.0916378,0.0020577044,0.00003207748,0.0005400752,0.0001244294,0.21871188],"genre_scores_gemma":[0.98754275,0.0043063266,0.00070530025,0.0022964033,0.0027849155,0.0000049522564,0.00005860143,0.00004223963,0.002258498],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99783665,0.00074565667,0.000100926365,0.00021266642,0.0008651394,0.00023905006],"domain_scores_gemma":[0.9289069,0.05374903,0.009779966,0.0024666474,0.0030875083,0.0020099387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046328637,0.00023980571,0.00038776695,0.0012108715,0.0009707286,0.006530557,0.0005227196,0.0015987821,0.009420048],"category_scores_gemma":[0.048662692,0.00019313175,0.00034152484,0.0012987698,0.003187943,0.007518682,0.001163255,0.0028015345,0.00078977155],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014403976,0.00033331456,0.21888013,0.0005724721,0.0005842967,0.0020824554,0.0020814505,0.0065195607,0.004382702,0.39432496,0.038622126,0.33017612],"study_design_scores_gemma":[0.000105437815,0.00032764993,0.35625383,0.00047647103,0.00023237562,0.0016588783,0.0037095505,0.009302926,0.0021042968,0.57346123,0.052213036,0.00015424189],"about_ca_topic_score_codex":0.00224117,"about_ca_topic_score_gemma":0.0027150824,"teacher_disagreement_score":0.009420048,"about_ca_system_score_codex":0.0010051405,"about_ca_system_score_gemma":0.0005331887,"threshold_uncertainty_score":0.031513155},"labels":[],"label_agreement":null},{"id":"W2221059628","doi":"10.2139/ssrn.488724","title":"The Foreign Exchange Quoting Activity as an Informative Signal","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"SIGNAL (programming language); Computer science","score_opus":0.0172020462882016,"score_gpt":0.21969311868568783,"score_spread":0.20249107239748623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221059628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8828449,0.0007908273,0.093186244,0.0018455369,0.00022830191,0.000027033051,0.00095342327,0.0004658654,0.019657902],"genre_scores_gemma":[0.99409384,0.00026175374,0.0021713933,0.00006405381,0.00013175931,0.000005783472,0.00014862155,0.000021151187,0.0031016183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99958843,0.00015628147,0.00002504532,0.00008366477,0.0000996895,0.00004691306],"domain_scores_gemma":[0.9838202,0.012271182,0.0021845493,0.0007270894,0.00046142432,0.0005355232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014618594,0.00045475832,0.0005083818,0.0011725521,0.00022157773,0.0025658756,0.0006205568,0.0020392886,0.0043355343],"category_scores_gemma":[0.015168278,0.00039082326,0.00027875768,0.0011529069,0.0006006978,0.002457619,0.00065847713,0.0018481911,0.0007229036],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027384697,0.0005968393,0.117100626,0.00040167233,0.00043531234,0.0034140258,0.001033397,0.22512007,0.06275006,0.3999212,0.009969052,0.17651942],"study_design_scores_gemma":[0.00010056068,0.00044126817,0.054763608,0.00007089431,0.0002696569,0.0013435625,0.0002149913,0.85084385,0.012640985,0.07558066,0.0035780494,0.00015189614],"about_ca_topic_score_codex":0.00041607226,"about_ca_topic_score_gemma":0.00043853713,"teacher_disagreement_score":0.0043355343,"about_ca_system_score_codex":0.00035379408,"about_ca_system_score_gemma":0.00024939558,"threshold_uncertainty_score":0.014503777},"labels":[],"label_agreement":null},{"id":"W2221505647","doi":"10.2139/ssrn.2023975","title":"Do Investors Value Dividend Smoothing Stocks Differently?","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Dividend; Growth stock; Financial economics; Value (mathematics); Smoothing; Econometrics; Business; Enterprise value; Economics; Monetary economics; Mathematics; Statistics; Finance; Stock market; Geography; Stock market bubble","score_opus":0.02669407436384932,"score_gpt":0.2235957068428851,"score_spread":0.19690163247903578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221505647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989908,0.00040853544,0.00058527594,0.0016855487,0.00002913581,0.000009446779,0.00010913042,0.000010115622,0.007254867],"genre_scores_gemma":[0.99805117,0.00020831086,0.00015903517,0.00033176198,0.000045552955,0.000003213242,0.00008436304,0.0000054232587,0.0011111617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965346,0.00007192724,0.000023350376,0.00006042313,0.00010088531,0.00008991617],"domain_scores_gemma":[0.9908698,0.003949757,0.0034568377,0.00050669303,0.0004993291,0.00071756187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014552549,0.0002562472,0.000434605,0.0006873132,0.00019040606,0.002744543,0.000392201,0.0018074473,0.005713883],"category_scores_gemma":[0.015470648,0.0002257693,0.00029435763,0.0006099176,0.0006384158,0.0032864127,0.00045504625,0.0009184639,0.0010370525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002205694,0.0007306767,0.86779493,0.00011995491,0.00075269805,0.00064870546,0.0011026671,0.0026380469,0.010275284,0.01669707,0.0028518839,0.09418243],"study_design_scores_gemma":[0.0002923966,0.00040861158,0.9216223,0.000054588054,0.0003945136,0.00043485194,0.001924097,0.0072730477,0.0035408738,0.061492227,0.0025052726,0.000057253415],"about_ca_topic_score_codex":0.0011647069,"about_ca_topic_score_gemma":0.0017429945,"teacher_disagreement_score":0.005713883,"about_ca_system_score_codex":0.0004841215,"about_ca_system_score_gemma":0.0002249425,"threshold_uncertainty_score":0.019114852},"labels":[],"label_agreement":null},{"id":"W2221834434","doi":"10.5430/ijfr.v7n1p75","title":"An Empirical Investigation into the Applicability of Fama-French Three Factor Model in Explaining Portfolio Returns: Evidence from Non-Financial Firms on the Ghana Stock Exchange","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Portfolio; Economics; Financial economics; Econometrics; Stock (firearms); Stock market; Exchange rate; Monetary economics; Finance","score_opus":0.2735145132879083,"score_gpt":0.3879617312399939,"score_spread":0.11444721795208557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221834434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958295,0.0008864906,0.0011068828,0.0006651607,0.000007763551,0.000014225016,0.00016508634,0.000010501972,0.0013143714],"genre_scores_gemma":[0.9984572,0.00058478495,0.0003478602,0.000043227024,0.000017227168,0.0000043456616,0.00029138074,0.0000028034506,0.00025118017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913627,0.00052565156,0.000047670044,0.00009758459,0.000101477046,0.000091419744],"domain_scores_gemma":[0.969688,0.02450343,0.0035692304,0.0009115735,0.0008359088,0.00049187854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043335794,0.0005382177,0.00048020796,0.0013418543,0.00052955974,0.0013650332,0.0005998079,0.00091897906,0.0035125196],"category_scores_gemma":[0.01955386,0.00019214064,0.00073611137,0.0018876285,0.0007922764,0.0016674997,0.00048182442,0.00089758687,0.00054801913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004598719,0.00031477422,0.95209247,0.0001568213,0.00039262368,0.0016422042,0.0014136623,0.0082256505,0.00057436747,0.0053731026,0.001407834,0.027946586],"study_design_scores_gemma":[0.00019445817,0.00056473346,0.9190918,0.00016725624,0.00039427928,0.00085121935,0.0065166648,0.060177848,0.0007911441,0.006710784,0.0044873483,0.00005253233],"about_ca_topic_score_codex":0.0335222,"about_ca_topic_score_gemma":0.016465727,"teacher_disagreement_score":0.0335222,"about_ca_system_score_codex":0.000676772,"about_ca_system_score_gemma":0.0005704399,"threshold_uncertainty_score":0.066654146},"labels":[],"label_agreement":null},{"id":"W2222613728","doi":"","title":"Do investors value payout increases? Evidence from the Canadian income trust sector","year":2010,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Business; Labour economics; Economics; Monetary economics; Actuarial science; Computer science","score_opus":0.019544040559934604,"score_gpt":0.1757825377124936,"score_spread":0.156238497152559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2222613728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8795887,0.003569036,0.00017918041,0.01534626,0.000042448864,0.00005884882,0.0026611895,0.000021515176,0.098532714],"genre_scores_gemma":[0.9901147,0.0026391095,0.000055328288,0.00047428694,0.000023188762,0.0000056862013,0.0005933938,0.0000050376857,0.006089346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793077,0.00016200606,0.0000746562,0.00011642848,0.001085957,0.0006300286],"domain_scores_gemma":[0.97006446,0.006747823,0.0103556095,0.0011526173,0.009124799,0.0025547175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024801253,0.00020017638,0.00024503446,0.0014451452,0.0018223476,0.0030030364,0.00091467035,0.0009974109,0.0073185405],"category_scores_gemma":[0.026762195,0.00018085436,0.0002694635,0.0030986113,0.001408884,0.0013189788,0.00080803054,0.0011162992,0.0005982085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083386945,0.00018176917,0.8975362,0.0001601518,0.000105368,0.0003885468,0.00416959,0.000554348,0.0003924958,0.009553011,0.024467362,0.06165727],"study_design_scores_gemma":[0.00004783407,0.000036204874,0.971314,0.00010592331,0.0000732131,0.000057404937,0.0050862106,0.0007016571,0.00035772892,0.00079980167,0.02138373,0.000036337875],"about_ca_topic_score_codex":0.96891487,"about_ca_topic_score_gemma":0.979587,"teacher_disagreement_score":0.031085134,"about_ca_system_score_codex":0.021760974,"about_ca_system_score_gemma":0.013405942,"threshold_uncertainty_score":0.15788764},"labels":[],"label_agreement":null},{"id":"W2223417509","doi":"","title":"Irving Fisher and Financial Economics: The Equity Premium Puzzle, The Predictability of Stock Prices, and Intertemporal Allocation Under Risk","year":2007,"lang":"en","type":"book-chapter","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Economics; Stock market crash; Equity premium puzzle; Stock market; Financial economics; Crash; Stock (firearms); Risk premium; History","score_opus":0.06622875431709477,"score_gpt":0.28488741422566327,"score_spread":0.2186586599085685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2223417509","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051049707,0.54203993,0.0033079593,0.3599553,0.008348225,0.000011246616,0.00018941109,0.00006380714,0.080979206],"genre_scores_gemma":[0.16275106,0.54831415,0.004727696,0.0694628,0.055044647,0.0000668183,0.00030625696,0.00014249118,0.15918408],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997242,0.000058950653,0.00001258141,0.000048724607,0.00013216835,0.000023314244],"domain_scores_gemma":[0.99805886,0.0014284926,0.00012414384,0.0000605587,0.00023532854,0.00009266749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078249985,0.00071309024,0.0005015212,0.0020224738,0.001125035,0.0028545924,0.0006189838,0.0025307296,0.0037873315],"category_scores_gemma":[0.0044233147,0.0004750553,0.00031163977,0.0021555678,0.0030213343,0.005357253,0.00063448516,0.0038745995,0.0010249995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003436191,0.000041650932,0.0013988874,0.00012505491,0.000018377403,0.000087536755,0.0003089671,0.0010770578,0.000101138095,0.30414036,0.62354213,0.06912455],"study_design_scores_gemma":[0.000022418659,0.000020547734,0.0047564064,0.00065164873,0.000016804657,0.00014723823,0.00022138306,0.0016315032,0.00008839885,0.6333037,0.35910112,0.0000388776],"about_ca_topic_score_codex":0.010180671,"about_ca_topic_score_gemma":0.014285654,"teacher_disagreement_score":0.010180671,"about_ca_system_score_codex":0.0021828162,"about_ca_system_score_gemma":0.0017935085,"threshold_uncertainty_score":0.02024287},"labels":[],"label_agreement":null},{"id":"W2225091000","doi":"","title":"Luck and Entrepreneurial Success, European Financial Management Symposium, Entrepreneurial Finance & Venture Capital Markets, Cirano, Montreal, Canada, April 15-17, 2010","year":2010,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Venture capital; Luck; Entrepreneurial finance; Entrepreneurship; Business; Finance; Social venture capital; Capital market; Financial system","score_opus":0.005327332863331339,"score_gpt":0.16111397375986913,"score_spread":0.1557866408965378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225091000","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020201476,0.45204115,0.0025043772,0.2555222,0.04665052,0.00012901593,0.012991504,0.000459103,0.20950076],"genre_scores_gemma":[0.097755805,0.13217646,0.0018948296,0.004521305,0.013801964,0.000079936224,0.005305188,0.00022196016,0.74424255],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995034,0.000061346786,0.00002043985,0.00008020074,0.00018748622,0.00014702664],"domain_scores_gemma":[0.99847215,0.00022885524,0.00005866261,0.00004551449,0.00058850745,0.0006063286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020532315,0.0011564245,0.0006438804,0.0024486643,0.0027004238,0.004476441,0.00082473794,0.0018644452,0.03749139],"category_scores_gemma":[0.002451725,0.0005487838,0.00039204926,0.0026012855,0.0009289012,0.0021439795,0.0012302914,0.0019078936,0.0056949016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001269884,0.00004754401,0.0019616478,0.000106770996,0.000016139822,0.00006613736,0.0001814847,0.0001691046,0.00011214609,0.0025855293,0.95483917,0.039787304],"study_design_scores_gemma":[0.00010426335,0.000058403504,0.099140346,0.0011609432,0.00010812349,0.00017130797,0.001471914,0.0009056056,0.00075008714,0.0044578603,0.891601,0.000070130205],"about_ca_topic_score_codex":0.3893782,"about_ca_topic_score_gemma":0.7475633,"teacher_disagreement_score":0.3893782,"about_ca_system_score_codex":0.008252004,"about_ca_system_score_gemma":0.010111332,"threshold_uncertainty_score":0.7742235},"labels":[],"label_agreement":null},{"id":"W2225697389","doi":"","title":"Northern Exposure: How Canadian Micro-Cap Stock Investments Can Benefit Investors","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Diversification (marketing strategy); Stock (firearms); Business; Monetary economics; Asset allocation; Financial economics; Economics; Finance; Portfolio; Geography","score_opus":0.013720193527044434,"score_gpt":0.17723677339295119,"score_spread":0.16351657986590676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225697389","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9096664,0.0014034605,0.00076357933,0.006696766,0.00004859675,0.000031944743,0.0010514968,0.00003871424,0.08029906],"genre_scores_gemma":[0.9946607,0.00037708596,0.0002031051,0.00021972084,0.000009696406,0.0000019506642,0.00013115352,0.0000039753495,0.004392624],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997334,0.00002644183,0.0000054780726,0.00002723403,0.00010112226,0.00010627723],"domain_scores_gemma":[0.9989002,0.00014797007,0.00021293024,0.000040918763,0.00035824353,0.00033981694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038959493,0.00019344322,0.00014182579,0.00054131,0.0012967569,0.0026797631,0.00038698458,0.00036474966,0.0052764714],"category_scores_gemma":[0.0036527277,0.0000713306,0.00017898051,0.0008822591,0.0005635459,0.00073840853,0.00060768717,0.0004501053,0.00024524785],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047920848,0.00014302396,0.78336453,0.00014059241,0.00019264779,0.0010867721,0.004343599,0.0061959005,0.0026892044,0.04499627,0.02782666,0.12854162],"study_design_scores_gemma":[0.00004275096,0.00012744275,0.8961368,0.0001536957,0.00029189806,0.00034744572,0.01237668,0.007222104,0.0025473947,0.009594006,0.071075626,0.00008413689],"about_ca_topic_score_codex":0.9399904,"about_ca_topic_score_gemma":0.9773208,"teacher_disagreement_score":0.0600096,"about_ca_system_score_codex":0.013611115,"about_ca_system_score_gemma":0.01323483,"threshold_uncertainty_score":0.12072599},"labels":[],"label_agreement":null},{"id":"W2226173140","doi":"10.2139/ssrn.1285745","title":"What Likely Range of My Wealth Will Be?","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Range (aeronautics); Economics; Business; Engineering","score_opus":0.01662269017790595,"score_gpt":0.22015809916920828,"score_spread":0.20353540899130235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2226173140","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3085288,0.010562195,0.027454654,0.2624032,0.0021377413,0.0001273929,0.0036047874,0.00037063606,0.38481057],"genre_scores_gemma":[0.9608952,0.0030826668,0.00225762,0.0049905805,0.00067854446,0.00009631032,0.0003595449,0.00006036236,0.027579132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995746,0.000113723814,0.000018865027,0.000077938006,0.00007991289,0.00013499061],"domain_scores_gemma":[0.997294,0.0005614796,0.00055508286,0.00015059764,0.0003529141,0.0010859924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016462494,0.00029148342,0.00042709085,0.00083654135,0.0010517687,0.004034744,0.0005138654,0.0016987791,0.026548056],"category_scores_gemma":[0.010621289,0.00016232277,0.00026984373,0.00036545758,0.0012204004,0.00568636,0.0012032413,0.0020101517,0.007550245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007459506,0.00026146363,0.06854331,0.0002895555,0.00020925033,0.002008533,0.0018915769,0.0028764817,0.0019949467,0.6001373,0.120530084,0.20051152],"study_design_scores_gemma":[0.00005314457,0.00024681768,0.035255563,0.0004958894,0.00006547994,0.002803657,0.006577062,0.0040503778,0.001285145,0.8361351,0.11292134,0.000110481444],"about_ca_topic_score_codex":0.00049882487,"about_ca_topic_score_gemma":0.0007927147,"teacher_disagreement_score":0.026548056,"about_ca_system_score_codex":0.00046011026,"about_ca_system_score_gemma":0.0004314172,"threshold_uncertainty_score":0.08881211},"labels":[],"label_agreement":null},{"id":"W2226238248","doi":"10.2139/ssrn.1293949","title":"A Stock Market Model","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stock market; Business; Financial economics; Economics; Geography; Archaeology","score_opus":0.02669662195774573,"score_gpt":0.20501694735925982,"score_spread":0.1783203254015141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2226238248","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25995266,0.0064516007,0.44090962,0.018791309,0.0011551863,0.00037939445,0.010355033,0.0013207232,0.26068446],"genre_scores_gemma":[0.82192224,0.0032095741,0.017194401,0.0006164063,0.0005035685,0.00023704891,0.0022305602,0.000070199945,0.15401609],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976045,0.00007452957,0.000016013655,0.000063879845,0.000055032953,0.000030170415],"domain_scores_gemma":[0.99949276,0.00020754988,0.00008085573,0.000061056744,0.00010113534,0.000056548884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067499606,0.00077815156,0.0010064945,0.0007411361,0.000500598,0.0025962144,0.0014694318,0.0033544241,0.016666431],"category_scores_gemma":[0.0024158221,0.0004805947,0.00079550623,0.0012376091,0.0005435844,0.0028259903,0.0008715143,0.0013675661,0.004157985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012027973,0.00015660768,0.002435939,0.00011975906,0.00013682758,0.0008610432,0.00010273981,0.4049735,0.0011352274,0.55643666,0.01351176,0.02000961],"study_design_scores_gemma":[0.00011430036,0.000047479152,0.00058247923,0.00002010202,0.00006520494,0.00015990874,0.00002688309,0.86677545,0.00020434255,0.12308014,0.00890314,0.000020635522],"about_ca_topic_score_codex":0.0058040507,"about_ca_topic_score_gemma":0.0026394664,"teacher_disagreement_score":0.016666431,"about_ca_system_score_codex":0.0007096917,"about_ca_system_score_gemma":0.0009154904,"threshold_uncertainty_score":0.05575478},"labels":[],"label_agreement":null},{"id":"W2228382117","doi":"10.2139/ssrn.1773429","title":"Understanding the Role of Language in Management Forecast Press Releases","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Linguistics; Business; Philosophy","score_opus":0.05236268391444905,"score_gpt":0.2053035787873565,"score_spread":0.15294089487290746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2228382117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5215355,0.005280395,0.054157794,0.06622067,0.0012392775,0.00007177044,0.003010168,0.0007847959,0.34769964],"genre_scores_gemma":[0.9830336,0.0015111573,0.0035455176,0.00093744334,0.0006028831,0.000016622436,0.0005863412,0.00019786741,0.009568554],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99764615,0.0010613269,0.00017643461,0.00032535766,0.0005590597,0.00023163269],"domain_scores_gemma":[0.9424726,0.04174632,0.007089583,0.002122834,0.00558036,0.0009883239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048339153,0.0003950847,0.00029706047,0.002054417,0.00068634376,0.010730287,0.00068264507,0.0015826976,0.018319525],"category_scores_gemma":[0.056223795,0.00047780923,0.00028509143,0.0018610414,0.0017079031,0.017979069,0.0013863187,0.0027534056,0.0039230026],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008727097,0.00036578265,0.1015944,0.0006144951,0.00017837487,0.0012724526,0.014611119,0.015574439,0.009819459,0.54514384,0.04862378,0.2613292],"study_design_scores_gemma":[0.00020361651,0.00028069213,0.11743468,0.00063612656,0.00032865503,0.00065975334,0.013019682,0.09340895,0.007130928,0.6574393,0.10910036,0.000357355],"about_ca_topic_score_codex":0.007142025,"about_ca_topic_score_gemma":0.0046970122,"teacher_disagreement_score":0.018319525,"about_ca_system_score_codex":0.0013950074,"about_ca_system_score_gemma":0.0018205842,"threshold_uncertainty_score":0.0612849},"labels":[],"label_agreement":null},{"id":"W2229262610","doi":"10.2139/ssrn.1265006","title":"Mutual Fund Competition in the Presence of Dynamic Flows","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Réseau Technoscience; Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Portfolio; Mutual fund separation theorem; Mutual fund; Competition (biology); Microeconomics; Pareto principle; Set (abstract data type); Economics; Project portfolio management; Closed-end fund; Separation property; Business; Portfolio optimization; Financial economics; Replicating portfolio; Finance; Computer science","score_opus":0.023034173543525573,"score_gpt":0.21711334465446663,"score_spread":0.19407917111094106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2229262610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9559405,0.0006190309,0.016250428,0.003368779,0.0000556368,0.000025767236,0.00017240779,0.000072147835,0.023495467],"genre_scores_gemma":[0.99814105,0.00009349975,0.00035925585,0.00003633941,0.000041021398,0.0000052603514,0.00002703136,0.000002767858,0.0012937577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980387,0.0007661658,0.00009334058,0.00030817278,0.00021370559,0.0005799273],"domain_scores_gemma":[0.9695488,0.0189232,0.0073931,0.0010395794,0.0010557228,0.0020395683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004532544,0.0003635878,0.0013781545,0.0011871092,0.00094448053,0.005819317,0.0012758189,0.0030486174,0.0073578185],"category_scores_gemma":[0.03084097,0.0004952791,0.00048897753,0.0009892946,0.0024300006,0.00784801,0.0022788784,0.001815351,0.0003918697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012094022,0.00027683427,0.023865564,0.00018412915,0.00017514301,0.0027884578,0.0007054166,0.08972185,0.0013804368,0.8545459,0.0058386326,0.019308148],"study_design_scores_gemma":[0.00050155795,0.00029361548,0.013833118,0.000053659183,0.00017954259,0.0011382287,0.0011111578,0.31095594,0.00062506145,0.66737676,0.003805206,0.00012607318],"about_ca_topic_score_codex":0.0031722577,"about_ca_topic_score_gemma":0.0024043417,"teacher_disagreement_score":0.0073578185,"about_ca_system_score_codex":0.0016054935,"about_ca_system_score_gemma":0.0010489303,"threshold_uncertainty_score":0.024614334},"labels":[],"label_agreement":null},{"id":"W2229348855","doi":"10.2139/ssrn.958508","title":"Flaw in the Fund Skill/Luck Test Method of Cuthbertson Et Al (SSRN Abstract 665744)","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Luck; Test (biology); Computer science; Biology; Philosophy; Theology","score_opus":0.025360095104392612,"score_gpt":0.2785350929870627,"score_spread":0.25317499788267006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2229348855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07744704,0.004116909,0.834761,0.032149862,0.005313593,0.00078536215,0.0024487497,0.0020263053,0.04095108],"genre_scores_gemma":[0.6575538,0.00080542313,0.30343464,0.00968238,0.0025598428,0.001354552,0.0011069615,0.0007668258,0.022735588],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9611636,0.024587872,0.0022674557,0.0028787067,0.008266532,0.00083581975],"domain_scores_gemma":[0.83477414,0.13109799,0.005110517,0.01630373,0.0115830535,0.0011305262],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.050929572,0.0008919839,0.0018093435,0.0042529893,0.001173199,0.0029651693,0.0032681387,0.0034535022,0.012810198],"category_scores_gemma":[0.24295127,0.00052499404,0.0012718653,0.0030685747,0.0029822248,0.0039720093,0.0031433885,0.0038090656,0.003428268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011890562,0.00033851134,0.068427525,0.0004995886,0.0010696691,0.0006606501,0.0012110862,0.0031346858,0.0009847564,0.27286842,0.08108466,0.56853145],"study_design_scores_gemma":[0.0011593781,0.001176784,0.048240267,0.00072066486,0.0011287876,0.0031863763,0.00086117,0.08624839,0.009609177,0.7490333,0.0983428,0.00029295502],"about_ca_topic_score_codex":0.002801232,"about_ca_topic_score_gemma":0.0023030832,"teacher_disagreement_score":0.94907045,"about_ca_system_score_codex":0.00075787917,"about_ca_system_score_gemma":0.002120525,"threshold_uncertainty_score":0.26934457},"labels":[],"label_agreement":null},{"id":"W2230176466","doi":"10.1002/jae.1226","title":"Stock market crash and expectations of American households","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging; Université Laval; University of Michigan","keywords":"Crash; Econometrics; Economics; Stock (firearms); Stock market; Population; Stock market index; Standard deviation; Financial economics; Volatility (finance); Stock market crash; Actuarial science; Statistics; Mathematics; Geography","score_opus":0.02508592882877291,"score_gpt":0.21268533683179225,"score_spread":0.18759940800301933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2230176466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991861,0.00003210633,0.00010979919,0.000077269884,0.0000015062083,0.0000035441954,0.00025054454,0.0000029246821,0.00033618519],"genre_scores_gemma":[0.999329,0.000030862986,0.0000372092,0.000016915847,0.0000044762337,0.0000036018728,0.00045449793,8.1050996e-7,0.0001226128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937695,0.00027902625,0.0000520052,0.0000852097,0.000120193356,0.0000865845],"domain_scores_gemma":[0.98615867,0.0057494338,0.0053577153,0.00090779463,0.0009585045,0.0008678969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001811422,0.00021115007,0.00034643503,0.000586755,0.00024365066,0.00097835,0.00033013918,0.00054125837,0.002149525],"category_scores_gemma":[0.014964802,0.00020213773,0.00032555405,0.0006867298,0.00042776397,0.0008804854,0.0006021271,0.0008208276,0.00036646062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015951178,0.00010788003,0.9953505,0.0000055817554,0.000063782594,0.000048484937,0.00031298245,0.0010209216,0.00010483609,0.00018170716,0.0002880963,0.0023557683],"study_design_scores_gemma":[0.000007930738,0.00008264137,0.99493355,0.000003412829,0.00001496925,0.000040442425,0.00043102025,0.0039046234,0.00011095177,0.00030120296,0.00015862203,0.000010676147],"about_ca_topic_score_codex":0.011365341,"about_ca_topic_score_gemma":0.008438566,"teacher_disagreement_score":0.011365341,"about_ca_system_score_codex":0.00041550962,"about_ca_system_score_gemma":0.00019997399,"threshold_uncertainty_score":0.022598386},"labels":[],"label_agreement":null},{"id":"W2232080815","doi":"","title":"Analyst Forecast Dispersion, Trading Volume, and Stock Return","year":2009,"lang":"en","type":"article","venue":"Seoul National University Open Repository (Seoul National University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Earnings; Stock (firearms); Economics; Dispersion (optics); Econometrics; Financial economics; Divergence (linguistics); Volume (thermodynamics); Monetary economics; Finance; Geography","score_opus":0.03040996654072807,"score_gpt":0.2054024448844066,"score_spread":0.17499247834367854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2232080815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99860233,0.00006546439,0.00023269311,0.00006648306,0.0000035112362,0.0000011022853,0.00008704175,0.0000042589413,0.00093723566],"genre_scores_gemma":[0.99950767,0.000032134645,0.00009575754,0.0000056228005,0.000010641167,0.000001077386,0.00014670526,0.0000010643,0.00019937116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964404,0.00009149317,0.000032058917,0.000053113472,0.00013909314,0.000040184288],"domain_scores_gemma":[0.98610175,0.007547955,0.0046470547,0.00036965427,0.0007057345,0.00062770816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008275424,0.00016111354,0.00016600522,0.00079199136,0.00013814379,0.000801985,0.00015200693,0.00031401703,0.0017965435],"category_scores_gemma":[0.012383155,0.00007892822,0.00015193273,0.0006142164,0.00015254694,0.0006930715,0.00034026857,0.0003326683,0.00020204524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102731494,0.00004695337,0.99122846,0.000006581656,0.00006618153,0.000044208457,0.00014376709,0.001321065,0.00048022417,0.00027144208,0.00017248183,0.006115747],"study_design_scores_gemma":[0.000004690314,0.000055640856,0.9875422,0.0000058696787,0.000022792427,0.00008211102,0.00023356211,0.010682575,0.00023032821,0.0008989855,0.00023003382,0.000011184102],"about_ca_topic_score_codex":0.0048373686,"about_ca_topic_score_gemma":0.0057790247,"teacher_disagreement_score":0.0048373686,"about_ca_system_score_codex":0.00029892614,"about_ca_system_score_gemma":0.00014875463,"threshold_uncertainty_score":0.0096184015},"labels":[],"label_agreement":null},{"id":"W2232370724","doi":"10.1007/978-0-387-77117-5_12","title":"On Estimation Risk and Power Utility Portfolio Selection","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Weighting; Portfolio; Econometrics; Selection (genetic algorithm); Estimation; Computer science; Joint probability distribution; Economics; Statistics; Financial economics; Machine learning; Mathematics","score_opus":0.01783575183847638,"score_gpt":0.1992519559203962,"score_spread":0.18141620408191983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2232370724","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0079374155,0.018683206,0.9196717,0.003285112,0.0005778297,0.000023916456,0.000102594815,0.00022428374,0.049493853],"genre_scores_gemma":[0.5550514,0.051788837,0.23127228,0.0015465311,0.007213535,0.0002133223,0.0008180139,0.0007212141,0.15137486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988142,0.00060959026,0.000051640785,0.00013714623,0.00034605255,0.0000413913],"domain_scores_gemma":[0.9927665,0.006226583,0.00015258526,0.0004197754,0.00038013165,0.00005441083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002761189,0.0010930003,0.0011317208,0.0009920341,0.0002861027,0.0015855235,0.0009239884,0.001323882,0.005609467],"category_scores_gemma":[0.01636019,0.00052262243,0.0005356889,0.0018929978,0.0013550984,0.0029959353,0.0010490433,0.002324447,0.0011630201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031961925,0.000055261873,0.0012296395,0.00013071574,0.000068151174,0.00013633726,0.000116196694,0.063577674,0.00034374272,0.70516,0.020314261,0.20883612],"study_design_scores_gemma":[0.000005959577,0.00001914965,0.00060285785,0.00006735202,0.000020341506,0.0001537599,0.000016817494,0.1155276,0.00028245064,0.87107986,0.012208321,0.00001549553],"about_ca_topic_score_codex":0.0011138953,"about_ca_topic_score_gemma":0.00087394,"teacher_disagreement_score":0.005609467,"about_ca_system_score_codex":0.0007739006,"about_ca_system_score_gemma":0.0003820336,"threshold_uncertainty_score":0.01876551},"labels":[],"label_agreement":null},{"id":"W2232658470","doi":"","title":"Momentum Trading for the Private Investor","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Momentum (technical analysis); Profitability index; Trading strategy; Financial economics; Order (exchange); Economics; Business; Work (physics); Monetary economics; Finance; Physics","score_opus":0.019811532920719438,"score_gpt":0.21287843455769823,"score_spread":0.1930669016369788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2232658470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7609358,0.007852895,0.012344022,0.011849803,0.00021137725,0.000025148094,0.00010342419,0.000041848965,0.20663574],"genre_scores_gemma":[0.98825586,0.0014362781,0.0006732653,0.00025365662,0.00017721347,0.000004221862,0.000023333145,0.000004836347,0.009171277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998425,0.000035324094,0.0000051678,0.000018428054,0.00005423041,0.000044362274],"domain_scores_gemma":[0.9990964,0.00041544414,0.0002344843,0.00007384374,0.00006490241,0.000114936935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043863957,0.0001206287,0.00023245886,0.000221769,0.0005511535,0.0027474614,0.000107165564,0.0004930517,0.0060709524],"category_scores_gemma":[0.0019518121,0.000067446665,0.00012095166,0.00037582408,0.00062691193,0.0025561494,0.000504366,0.0006946563,0.0003843958],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021267598,0.0002766443,0.06285359,0.00012573913,0.000058134945,0.0011029845,0.0016655386,0.007941212,0.004790257,0.7053018,0.017052745,0.1986187],"study_design_scores_gemma":[0.00005639208,0.00045380017,0.0787162,0.00029657155,0.00009977549,0.0018106898,0.0033702778,0.05326013,0.003345524,0.7460714,0.11246425,0.000055029683],"about_ca_topic_score_codex":0.00092787325,"about_ca_topic_score_gemma":0.001969074,"teacher_disagreement_score":0.0060709524,"about_ca_system_score_codex":0.00070486934,"about_ca_system_score_gemma":0.00067588664,"threshold_uncertainty_score":0.020309329},"labels":[],"label_agreement":null},{"id":"W2233476897","doi":"","title":"Optimal Asset Allocation Under Linear Loss Aversion","year":2010,"lang":"en","type":"preprint","venue":"Institutional Repository (IHS Vienna)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"CVAR; Portfolio; Asset allocation; Econometrics; Expected shortfall; Economics; Risk aversion (psychology); Asset (computer security); Copula (linguistics); Expected utility hypothesis; Loss aversion; Microeconomics; Computer science; Mathematical economics; Financial economics","score_opus":0.03129709777088426,"score_gpt":0.23538534130545255,"score_spread":0.20408824353456828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2233476897","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3574782,0.001457076,0.5895467,0.0037386692,0.00010260452,0.00016419565,0.00044723417,0.00040956202,0.046655677],"genre_scores_gemma":[0.96238005,0.0005751214,0.02381125,0.00018264886,0.00006993635,0.00010165833,0.00011483585,0.0000694685,0.012694932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939275,0.00032595274,0.000022443259,0.00007309739,0.00007286291,0.00011288705],"domain_scores_gemma":[0.99796766,0.0013806937,0.00025296528,0.000096377895,0.0001489867,0.00015332924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016812107,0.0006248138,0.0011206351,0.00074595935,0.00024368783,0.002334947,0.00070962374,0.0011364705,0.0057454533],"category_scores_gemma":[0.0068865004,0.00065033353,0.00045700325,0.0006912121,0.0010416638,0.0022881178,0.0010368332,0.0009777532,0.0007434003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004533826,0.0002866405,0.0009968869,0.00018297606,0.00010739818,0.00015589726,0.000110734894,0.62899,0.0029711365,0.32642004,0.0058031143,0.033521783],"study_design_scores_gemma":[0.00012092633,0.00005094265,0.00038465616,0.000019669835,0.000018258817,0.00003093661,0.00003217399,0.7594533,0.00044627662,0.23885237,0.00057513843,0.00001535829],"about_ca_topic_score_codex":0.0013734291,"about_ca_topic_score_gemma":0.00080385956,"teacher_disagreement_score":0.0057454533,"about_ca_system_score_codex":0.0014677129,"about_ca_system_score_gemma":0.0011352261,"threshold_uncertainty_score":0.019220412},"labels":[],"label_agreement":null},{"id":"W2234349758","doi":"10.2139/ssrn.2713915","title":"Liquidity Risk and Expected Option Returns","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Market liquidity; Business; Liquidity risk; Economics; Monetary economics; Financial economics; Finance","score_opus":0.013741243698814952,"score_gpt":0.1955786835508773,"score_spread":0.18183743985206233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2234349758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776553,0.0010057782,0.0028057396,0.00036512016,0.000014609291,0.000032721433,0.014850312,0.00010289958,0.0031675468],"genre_scores_gemma":[0.98982203,0.00022209462,0.0005833436,0.000018641582,0.00003102896,0.000023673942,0.008482765,0.000011951965,0.0008045058],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988356,0.00020214221,0.00018132998,0.00021402743,0.00038455194,0.0001823373],"domain_scores_gemma":[0.97343296,0.009086368,0.014067183,0.0009055536,0.0015687412,0.0009391027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023407426,0.00033341162,0.0004247372,0.0029834616,0.0002017461,0.0016401447,0.0005677495,0.0007376436,0.0038961545],"category_scores_gemma":[0.026775302,0.00015092705,0.00071106263,0.0036964072,0.0004353128,0.0018320638,0.00090158504,0.0009936832,0.0011642821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032265944,0.00012294245,0.9592721,0.00009234118,0.00023177912,0.00031491884,0.00021585963,0.012722216,0.00047365672,0.007123226,0.0021221403,0.016986152],"study_design_scores_gemma":[0.00003630639,0.00020664722,0.95866126,0.000085271015,0.000085156185,0.0005465431,0.0002350296,0.023203881,0.001181531,0.011941681,0.0037425798,0.00007400939],"about_ca_topic_score_codex":0.0044864677,"about_ca_topic_score_gemma":0.0035784692,"teacher_disagreement_score":0.0044864677,"about_ca_system_score_codex":0.0010104832,"about_ca_system_score_gemma":0.0004470303,"threshold_uncertainty_score":0.0130339265},"labels":[],"label_agreement":null},{"id":"W2235357806","doi":"","title":"A Comparative Analysis of the Performance of Collective Investment Institutions","year":2012,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Closed-end fund; Pension; Fund of funds; Plan (archaeology); Investment (military); Finance; Actuarial science; Business; Assets under management; Open-end fund; Pension plan; Fund administration; Stable value fund; Contingency table; Welfare; Index (typography); Investment management; Economics; Institutional investor; Microeconomics; Fixed asset","score_opus":0.0663859955464751,"score_gpt":0.2578128515634326,"score_spread":0.19142685601695747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235357806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959487,0.00086218136,0.0002554106,0.0000655359,0.0000037169107,0.0000066220664,0.00030115392,0.000006574608,0.002550107],"genre_scores_gemma":[0.9984011,0.00021463384,0.00012912248,0.0000043055484,0.000011368117,0.0000034535826,0.0005507494,0.000002277393,0.00068293227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979767,0.00056739995,0.00015727739,0.00025145608,0.0007249657,0.00032214768],"domain_scores_gemma":[0.98884225,0.0034072637,0.0041468334,0.000684753,0.0022791093,0.00063981465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034482419,0.00023104626,0.00049026374,0.0026336585,0.00018102965,0.0014050918,0.00034886258,0.000406032,0.0016283024],"category_scores_gemma":[0.011662719,0.00009154942,0.00038692262,0.0027669813,0.000293405,0.0007504416,0.00073111313,0.00018542967,0.00037534823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038152505,0.00012074306,0.9387021,0.000118347045,0.00041315926,0.00029112693,0.00067073177,0.008428902,0.00073128,0.0029709067,0.0010892384,0.04608192],"study_design_scores_gemma":[0.000013139452,0.00021167428,0.99177694,0.000025570354,0.00007474937,0.00010358612,0.00075954606,0.004280557,0.00034568872,0.00048261273,0.0019154389,0.000010553275],"about_ca_topic_score_codex":0.005624083,"about_ca_topic_score_gemma":0.004756633,"teacher_disagreement_score":0.005624083,"about_ca_system_score_codex":0.0011020756,"about_ca_system_score_gemma":0.0006064897,"threshold_uncertainty_score":0.01823628},"labels":[],"label_agreement":null},{"id":"W2236489398","doi":"","title":"Trading Behavior on the Expiration Days and Quarter-end Days: the Effect of a New Closing Method","year":2009,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Closing (real estate); Quarter (Canadian coin); Expiration; Economics; Medicine; History; Finance; Internal medicine","score_opus":0.044886491065853004,"score_gpt":0.2598388982141704,"score_spread":0.21495240714831737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236489398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99552035,0.00018616865,0.002537135,0.0001682667,0.00005903484,0.00001144626,0.000085034175,0.000051052597,0.001381662],"genre_scores_gemma":[0.997629,0.00006900685,0.0012106027,0.00004998227,0.000043892043,0.000008455641,0.00011875392,0.000036411355,0.00083391106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983637,0.00077799393,0.00015554507,0.00027971587,0.0002449748,0.00017816144],"domain_scores_gemma":[0.8939733,0.09021997,0.0059148683,0.0053263293,0.0021026873,0.002462852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076673,0.00034928057,0.00080721703,0.00050329167,0.00025979232,0.0016262672,0.0008437178,0.0010819775,0.0037691253],"category_scores_gemma":[0.049925305,0.00023763484,0.00046341697,0.00048162125,0.0005320901,0.00134045,0.000369646,0.0012299839,0.00038632922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.061177313,0.011208179,0.5494876,0.00039658957,0.0015958366,0.0012907084,0.0015410802,0.103565186,0.060694944,0.011204424,0.00507692,0.19276132],"study_design_scores_gemma":[0.0019779247,0.0052716066,0.49309134,0.000086059736,0.001046649,0.00083802285,0.00097545807,0.4705901,0.013274618,0.009505059,0.003107765,0.00023532426],"about_ca_topic_score_codex":0.0013727759,"about_ca_topic_score_gemma":0.0012413498,"teacher_disagreement_score":0.0076673,"about_ca_system_score_codex":0.00031152452,"about_ca_system_score_gemma":0.0004198202,"threshold_uncertainty_score":0.04054904},"labels":[],"label_agreement":null},{"id":"W2236933451","doi":"","title":"Eastplats share price tumbles","year":2012,"lang":"en","type":"article","venue":"Australia's Paydirt","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Share price; Stock price; Business; Stock (firearms); Economics; Finance; Geography","score_opus":0.10140323575814497,"score_gpt":0.26389067075823636,"score_spread":0.16248743500009138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236933451","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054348987,0.0033265685,0.0016847501,0.04545354,0.0044757617,0.00007176365,0.0041758274,0.0009173945,0.88554543],"genre_scores_gemma":[0.13570657,0.0013030194,0.00043936324,0.0032478517,0.00066675944,0.00001307851,0.0011842242,0.00017539752,0.85726374],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984023,0.00003431562,0.000030378249,0.00014812131,0.0012413708,0.00014354248],"domain_scores_gemma":[0.9970968,0.00023782083,0.0002296985,0.00026668474,0.0014023557,0.000766681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009871874,0.00031889515,0.00027183772,0.0010350522,0.0016146501,0.0046401233,0.00045608977,0.0011046882,0.0793107],"category_scores_gemma":[0.0065736095,0.0002939126,0.00025597567,0.0010506255,0.0007524926,0.0018675571,0.0010382176,0.0023495415,0.019355487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023222304,0.000032136864,0.0076305913,0.00008648187,0.000027021642,0.0004352239,0.0005656916,0.00034387404,0.0017564282,0.10124667,0.7763092,0.1113344],"study_design_scores_gemma":[0.000015492058,0.000050081093,0.014498007,0.000046409543,0.000009150388,0.00019411217,0.00019369571,0.0010322093,0.0016542397,0.0050653657,0.9772199,0.000021351576],"about_ca_topic_score_codex":0.078261636,"about_ca_topic_score_gemma":0.12863186,"teacher_disagreement_score":0.0793107,"about_ca_system_score_codex":0.0055583767,"about_ca_system_score_gemma":0.0049003595,"threshold_uncertainty_score":0.26532072},"labels":[],"label_agreement":null},{"id":"W2237803612","doi":"10.1142/s2010139214500013","title":"International Capital Flows and Bond Risk Premia","year":2014,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Treasury; Bond; Monetary economics; Excess return; Capital flows; Sample (material); Economics; Risk premium; Benchmark (surveying); Business; Econometrics; Finance; Microeconomics","score_opus":0.00877344085404971,"score_gpt":0.19108091874642236,"score_spread":0.18230747789237264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237803612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928347,0.00042140452,0.001089473,0.00023305026,0.000011414193,0.000009048922,0.00065634056,0.000026685282,0.004717844],"genre_scores_gemma":[0.9974989,0.0003431416,0.00019155326,0.000016262611,0.000019919937,0.000005827485,0.00064004207,0.0000062334752,0.0012781061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998952,0.000024894578,0.000009686154,0.000022415388,0.000018819766,0.000029012677],"domain_scores_gemma":[0.9961473,0.0011067446,0.0020535577,0.00016740686,0.00020875888,0.00031624414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070970156,0.00039195377,0.00022916844,0.00084454985,0.00016299434,0.0013380807,0.0001994857,0.00038781867,0.0039197914],"category_scores_gemma":[0.0053193937,0.0001280999,0.00027736695,0.00109111,0.00036864585,0.0010642264,0.0004873015,0.0008168677,0.0005034102],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004308879,0.00023005038,0.93767613,0.00004578579,0.00019294048,0.00026027806,0.00026775614,0.018068844,0.0011041741,0.018243842,0.0012995091,0.022179771],"study_design_scores_gemma":[0.00004534281,0.00024351092,0.9470194,0.00006151133,0.00016221571,0.00027560422,0.000318947,0.028310558,0.00223221,0.017819107,0.0034771212,0.000034541146],"about_ca_topic_score_codex":0.003893402,"about_ca_topic_score_gemma":0.0028854033,"teacher_disagreement_score":0.0039197914,"about_ca_system_score_codex":0.0004541462,"about_ca_system_score_gemma":0.00023589391,"threshold_uncertainty_score":0.013112962},"labels":[],"label_agreement":null},{"id":"W2238750598","doi":"10.1093/rfs/hhu032","title":"High-Frequency Trading and Price Discovery","year":2014,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1198,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Price discovery; High-frequency trading; Economics; Econometrics; Financial economics; Business; Monetary economics; Algorithmic trading; Futures contract","score_opus":0.03719177200986132,"score_gpt":0.246463120020908,"score_spread":0.2092713480110467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2238750598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8935204,0.06573751,0.013993539,0.0018363104,0.00013613803,0.000029036559,0.00019777952,0.000041974694,0.024507312],"genre_scores_gemma":[0.99048775,0.0070265597,0.0008688592,0.00010269067,0.00015913871,0.0000066778416,0.00006699686,0.0000043604023,0.0012769515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994535,0.00016536399,0.00004297693,0.00011375168,0.00014559485,0.000078734076],"domain_scores_gemma":[0.9896785,0.0049625197,0.0043048025,0.00031666263,0.0004735432,0.00026396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011535739,0.0002104787,0.00033645701,0.0010265841,0.0002737329,0.0019054317,0.00035770205,0.00064524665,0.0016594296],"category_scores_gemma":[0.008687673,0.0001620058,0.00021262243,0.0016331286,0.0006115224,0.001865204,0.0006171186,0.00055045367,0.00029183822],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001228444,0.0005967264,0.45987186,0.0010402518,0.00096833444,0.0021279482,0.0013040515,0.013105496,0.0075542377,0.11865474,0.004286333,0.38926166],"study_design_scores_gemma":[0.00016386367,0.000596802,0.6962541,0.00040465436,0.00047686594,0.003361503,0.0010048604,0.040914826,0.0034936736,0.23401532,0.019197445,0.000116121635],"about_ca_topic_score_codex":0.0009822292,"about_ca_topic_score_gemma":0.00070012634,"teacher_disagreement_score":0.0019054317,"about_ca_system_score_codex":0.00038113745,"about_ca_system_score_gemma":0.00028334203,"threshold_uncertainty_score":0.006100774},"labels":[],"label_agreement":null},{"id":"W2238815626","doi":"","title":"Luck Versus Skill in the Cross-Section of Ethical Mutual Funds","year":2011,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Luck; Political science; Welfare economics; Economics; Philosophy","score_opus":0.052514798170202714,"score_gpt":0.24224006722875627,"score_spread":0.18972526905855355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2238815626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991385,0.000036668993,0.00021317632,0.00003193389,0.000001212375,0.0000027729313,0.000036330308,0.0000033496874,0.00053609896],"genre_scores_gemma":[0.9991524,0.000020153933,0.000065807064,0.000007175813,0.0000033248773,0.0000024304313,0.00007391242,0.0000015727102,0.00067318144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982066,0.0005850163,0.00009985587,0.00023875722,0.00040809924,0.00046166964],"domain_scores_gemma":[0.98308426,0.008857775,0.0037948396,0.0014098914,0.0013965454,0.0014566146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006104571,0.00017402816,0.00025002318,0.0015326849,0.00037780264,0.0012819781,0.00036830053,0.00040462377,0.0023116814],"category_scores_gemma":[0.021729037,0.00014298351,0.00033308883,0.0009580919,0.00088680186,0.00063104887,0.0010781238,0.00038170998,0.00029721655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020067967,0.00001891762,0.9883563,0.000005455455,0.000085514854,0.00010453287,0.0005387656,0.0028353357,0.00027870195,0.001789855,0.0001600562,0.005625796],"study_design_scores_gemma":[0.000007722254,0.00011388382,0.98731726,0.000007752722,0.000035172397,0.000088801484,0.0006086979,0.009410548,0.00051871326,0.0013019778,0.0005748908,0.000014594279],"about_ca_topic_score_codex":0.04655152,"about_ca_topic_score_gemma":0.033179402,"teacher_disagreement_score":0.04655152,"about_ca_system_score_codex":0.0015429887,"about_ca_system_score_gemma":0.0007885664,"threshold_uncertainty_score":0.092561126},"labels":[],"label_agreement":null},{"id":"W2242143046","doi":"","title":"The Truth About Income Trusts: Lower Volatility or Simply Less Tax?","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Volatility (finance); Portfolio; Economics; Stock (firearms); Income tax; Monetary economics; Business; Stock exchange; Payment; Financial economics; Finance; Public economics","score_opus":0.016721168440681392,"score_gpt":0.2237056732517918,"score_spread":0.20698450481111041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2242143046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9050997,0.0021704207,0.0022590726,0.039836388,0.00021860847,0.000025611733,0.0005619947,0.000038705955,0.04978945],"genre_scores_gemma":[0.9976993,0.0002248369,0.00012485865,0.0006535824,0.000067345776,9.4892465e-7,0.00006611107,0.000006215872,0.0011567697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998412,0.00019515693,0.00007007668,0.00015427335,0.00067811436,0.00049039384],"domain_scores_gemma":[0.98779637,0.0026208488,0.0050501516,0.00085774047,0.002126478,0.0015483239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002048319,0.00011253299,0.00045332633,0.00091305206,0.0018234261,0.005277525,0.00053100864,0.0012406653,0.005968233],"category_scores_gemma":[0.026612815,0.00010532939,0.0001877267,0.0014189848,0.0043869913,0.0034183399,0.0009166495,0.001685976,0.00044364246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012728428,0.00016841582,0.58541864,0.00021181749,0.00026236262,0.0015776383,0.01221187,0.0019343406,0.002942558,0.17267083,0.020547248,0.20078146],"study_design_scores_gemma":[0.000104158884,0.00028528177,0.7284812,0.0002870658,0.00023979621,0.0012689865,0.029439477,0.003061472,0.0032786746,0.1810551,0.052351877,0.00014695092],"about_ca_topic_score_codex":0.11019511,"about_ca_topic_score_gemma":0.11766475,"teacher_disagreement_score":0.11019511,"about_ca_system_score_codex":0.0047337064,"about_ca_system_score_gemma":0.0032933126,"threshold_uncertainty_score":0.21910739},"labels":[],"label_agreement":null},{"id":"W2242245781","doi":"","title":"Seasonality in Momentum Profitability","year":2014,"lang":"en","type":"article","venue":"Research Bank (Australian Catholic University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Profitability index; Momentum (technical analysis); Equity (law); Quarter (Canadian coin); Economics; Financial economics; Econometrics; Business; Monetary economics; Finance; Geography; Mathematics; Statistics; Political science","score_opus":0.10471235186887658,"score_gpt":0.28279140739286124,"score_spread":0.17807905552398468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2242245781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920717,0.00024569465,0.0007996714,0.00025330894,0.000012931126,0.000009775252,0.00019859972,0.000031341726,0.006377038],"genre_scores_gemma":[0.9989864,0.00006733716,0.00009336669,0.000016848731,0.000009822783,0.0000016811998,0.000077386285,0.0000044206026,0.00074275746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976605,0.000025478143,0.00001748609,0.000045580513,0.00007989306,0.00006557919],"domain_scores_gemma":[0.9982652,0.00033472164,0.0008205629,0.00007003031,0.0003011353,0.0002084543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004265257,0.00007557628,0.00012371303,0.0005835929,0.00023539894,0.0008276149,0.000110823916,0.00021506155,0.001545267],"category_scores_gemma":[0.003370463,0.000091617185,0.00009923152,0.00052690954,0.0003095917,0.0005850284,0.000407665,0.0003377026,0.00029242283],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002212332,0.0000963192,0.912046,0.000048806753,0.00005622875,0.0006266424,0.0019892636,0.0027453015,0.009418934,0.0038583518,0.002874558,0.06601845],"study_design_scores_gemma":[0.0000014899364,0.000040506256,0.9950111,0.0000073824235,0.000005463575,0.00013585006,0.00026835437,0.0016536643,0.00034325503,0.00079879386,0.0017277397,0.0000065175386],"about_ca_topic_score_codex":0.006509834,"about_ca_topic_score_gemma":0.011754898,"teacher_disagreement_score":0.006509834,"about_ca_system_score_codex":0.0005098563,"about_ca_system_score_gemma":0.0002612431,"threshold_uncertainty_score":0.0129439235},"labels":[],"label_agreement":null},{"id":"W2243694728","doi":"","title":"The correlation between risk and return of Canadian mutual funds based on VAR","year":2012,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Correlation; Actuarial science; Financial system; Mathematics","score_opus":0.015037720934848247,"score_gpt":0.16146371575876836,"score_spread":0.1464259948239201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243694728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99125284,0.00058173237,0.002148337,0.00075154356,0.000022827398,0.000015131737,0.0008409231,0.00012142439,0.0042652194],"genre_scores_gemma":[0.99821657,0.00011961382,0.00025962776,0.000019577754,0.000013076628,0.0000024252945,0.00041066718,0.000011965255,0.00094640144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985707,0.000265589,0.00007189732,0.00024669454,0.00046977418,0.00037536546],"domain_scores_gemma":[0.9807302,0.009953794,0.0027823013,0.0011072308,0.0043120673,0.0011144584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004300868,0.00049642596,0.0005628059,0.00240186,0.0009200178,0.0030027882,0.0012895057,0.0009546198,0.002279916],"category_scores_gemma":[0.031860806,0.00037374857,0.0006938722,0.0024232191,0.0010997589,0.0010637206,0.00065161625,0.0012459109,0.00022239452],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013070903,0.000100070516,0.7094691,0.00009802462,0.0005125597,0.0007199528,0.00095648057,0.19913314,0.0019215227,0.053032633,0.0064910045,0.026258422],"study_design_scores_gemma":[0.00004880184,0.00007153949,0.6015837,0.000056828743,0.00020218834,0.00020692212,0.00046257544,0.38191634,0.0010188012,0.011233835,0.0030026762,0.00019582437],"about_ca_topic_score_codex":0.80761683,"about_ca_topic_score_gemma":0.7687655,"teacher_disagreement_score":0.19238317,"about_ca_system_score_codex":0.013440479,"about_ca_system_score_gemma":0.0076200566,"threshold_uncertainty_score":0.38703227},"labels":[],"label_agreement":null},{"id":"W2245199605","doi":"10.2139/ssrn.1109080","title":"An Analytical Framework for Assessing Asset Pricing Models and Predictability","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Predictability; Capital asset pricing model; Consumption-based capital asset pricing model; Econometrics; Economics; Investment theory; Asset (computer security); Financial economics; Computer science; Actuarial science; Mathematics; Statistics; Computer security","score_opus":0.05013075916555118,"score_gpt":0.2783485969904811,"score_spread":0.2282178378249299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2245199605","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018705979,0.0002891708,0.9738045,0.0005521604,0.000052569485,0.000037659145,0.00008188094,0.00021030281,0.0062659145],"genre_scores_gemma":[0.7726095,0.0008700107,0.22247155,0.00014015667,0.00043584374,0.00021812668,0.00020953004,0.00012615393,0.0029191652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99817145,0.00073425827,0.00012411547,0.00016950924,0.0006050362,0.00019555661],"domain_scores_gemma":[0.99285525,0.0044562183,0.00083914597,0.000759218,0.0008139505,0.00027628246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004240882,0.0012862539,0.0012671473,0.0029373642,0.0008286479,0.0037470292,0.002022288,0.0021105793,0.0023522133],"category_scores_gemma":[0.023499744,0.0005963268,0.0012835445,0.0017514661,0.0017190671,0.00459527,0.002296714,0.0022570128,0.00043023258],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011180066,0.000044177097,0.0008990765,0.000027841797,0.000044013424,0.000114085095,0.00008353515,0.26983565,0.0010661627,0.71416813,0.0010174374,0.012688699],"study_design_scores_gemma":[0.0000036745919,0.000014336058,0.0001755773,0.0000093712015,0.000010273834,0.000032725427,0.000017191443,0.7414805,0.00012988626,0.25755316,0.00056255853,0.000010673799],"about_ca_topic_score_codex":0.0027924306,"about_ca_topic_score_gemma":0.0013176874,"teacher_disagreement_score":0.004240882,"about_ca_system_score_codex":0.0010857861,"about_ca_system_score_gemma":0.0018707429,"threshold_uncertainty_score":0.022428215},"labels":[],"label_agreement":null},{"id":"W2248719567","doi":"","title":"Rational Expectation Bubbles: Evidence from Hong Kong’s Sub-Indices","year":2014,"lang":"en","type":"preprint","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Global Affairs Canada","funders":"","keywords":"Rational expectations; Economics; Causality (physics); Unit root; Econometrics; Empirical evidence; Financial economics; Stock (firearms); Unit root test; Stock market; Bubble; Test (biology); Economic bubble; Cointegration; Monetary economics; Engineering; Geography","score_opus":0.0407322107047426,"score_gpt":0.24123584139725956,"score_spread":0.20050363069251698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2248719567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99732685,0.00013920284,0.00011622206,0.00010422431,0.0000049638825,0.000008966058,0.00045493554,0.000004823458,0.0018398316],"genre_scores_gemma":[0.998914,0.00008798795,0.000041343123,0.000019216732,0.000007875527,0.0000037910495,0.00055383734,0.0000020333675,0.0003699596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972814,0.000035467456,0.000035166147,0.000038803624,0.000084201994,0.000078110344],"domain_scores_gemma":[0.99362373,0.0011359237,0.0027947358,0.00038697553,0.0013612845,0.0006972884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007796584,0.00018316632,0.00020707322,0.0012804557,0.00036022256,0.00096388435,0.00022147424,0.00025376098,0.0012330255],"category_scores_gemma":[0.0030603483,0.00015457872,0.00020590039,0.0014111499,0.00047626134,0.00091846875,0.0006624458,0.00036290614,0.00017011799],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014250462,0.000041694475,0.98994607,0.00003102622,0.00005227106,0.00025892185,0.0013034682,0.000293811,0.00037414933,0.0006207786,0.0009933101,0.0059419977],"study_design_scores_gemma":[0.0000045165193,0.000024862993,0.99656975,0.000008656229,0.000021697844,0.000045266854,0.000888226,0.0011004903,0.0003224685,0.00009069751,0.00091532076,0.000007971602],"about_ca_topic_score_codex":0.09353771,"about_ca_topic_score_gemma":0.061217904,"teacher_disagreement_score":0.09353771,"about_ca_system_score_codex":0.00083148427,"about_ca_system_score_gemma":0.00070310285,"threshold_uncertainty_score":0.18598652},"labels":[],"label_agreement":null},{"id":"W2248783425","doi":"10.2139/ssrn.891254","title":"Transaction Costs and Stochastic Dominance Efficiency in the Index Futures Options Market","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Futures contract; Stochastic dominance; Transaction cost; Index (typography); Dominance (genetics); Futures market; Economics; Financial economics; Business; Econometrics; Microeconomics; Computer science","score_opus":0.0068868520125029194,"score_gpt":0.19578819289442737,"score_spread":0.18890134088192445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2248783425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7382291,0.001059808,0.22822514,0.001869307,0.000044620218,0.000071122595,0.00017758185,0.000074540025,0.03024883],"genre_scores_gemma":[0.9902598,0.00032872127,0.0043902025,0.000059894,0.000059937596,0.000033873206,0.0000718197,0.000025009334,0.004770674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976076,0.000993062,0.00015639674,0.00024346083,0.0005857111,0.00041383583],"domain_scores_gemma":[0.97137374,0.022058694,0.002475648,0.0014396986,0.0016425152,0.0010097349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042169834,0.0003742465,0.0014769806,0.0012274407,0.00083664345,0.00400226,0.001322021,0.0012908224,0.007262764],"category_scores_gemma":[0.029074796,0.00051376893,0.00076335814,0.0011554962,0.0024424829,0.0068445103,0.0015850473,0.0018556267,0.00041223952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002390647,0.00011360766,0.0033668284,0.000072444076,0.00005208212,0.00021608161,0.00023506179,0.08548833,0.0014867212,0.8935139,0.0011969729,0.014018792],"study_design_scores_gemma":[0.00005116063,0.00005899969,0.0021503922,0.000016816626,0.000029762323,0.00012430178,0.00011777986,0.33199993,0.0005194704,0.66427386,0.00062487007,0.000032605196],"about_ca_topic_score_codex":0.001910574,"about_ca_topic_score_gemma":0.0016060439,"teacher_disagreement_score":0.007262764,"about_ca_system_score_codex":0.0014875585,"about_ca_system_score_gemma":0.0013227786,"threshold_uncertainty_score":0.024296403},"labels":[],"label_agreement":null},{"id":"W2252344643","doi":"","title":"The Stock Market's Reaction to Unemployment News, Stock-Bond Return Correlations, and the State of the Economy","year":2006,"lang":"en","type":"article","venue":"Journal of investment management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Ceteris paribus; Economics; Earnings; Unemployment; Stock (firearms); Stock market; Monetary economics; Equity (law); Bond; Financial economics; Finance; Macroeconomics","score_opus":0.01333502144963969,"score_gpt":0.19937273655738888,"score_spread":0.1860377151077492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252344643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99774027,0.00014140784,0.00022641283,0.0003022068,0.000011656739,0.000005034304,0.00032241124,0.000004061122,0.0012466413],"genre_scores_gemma":[0.99882287,0.00014088828,0.00005895454,0.00004836259,0.000022335173,0.0000032091125,0.00032486283,0.0000019578595,0.0005765351],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998357,0.000029933826,0.000023005143,0.000030489218,0.000043094024,0.000037670456],"domain_scores_gemma":[0.995799,0.0015376245,0.0019602505,0.00013876178,0.00026674586,0.00029766964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009135607,0.00016139491,0.00037741245,0.00049255876,0.00025611164,0.0016919546,0.00016680826,0.0006843376,0.004394921],"category_scores_gemma":[0.0065490087,0.00013076594,0.00025918,0.00049389375,0.0002162492,0.00080457877,0.00044040577,0.0006581195,0.00036817242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00102796,0.00024459936,0.96937513,0.00005670087,0.0002464604,0.00023306248,0.00032517948,0.005813294,0.0055407393,0.0031419417,0.0011991166,0.012795701],"study_design_scores_gemma":[0.000026224992,0.00014871563,0.9836706,0.000011303339,0.00007373627,0.00007663127,0.00020237805,0.0120249605,0.0011515379,0.0019310542,0.00066176656,0.000021066788],"about_ca_topic_score_codex":0.006535468,"about_ca_topic_score_gemma":0.0066255946,"teacher_disagreement_score":0.006535468,"about_ca_system_score_codex":0.0004929152,"about_ca_system_score_gemma":0.00017468202,"threshold_uncertainty_score":0.014702439},"labels":[],"label_agreement":null},{"id":"W2252943970","doi":"10.2139/ssrn.505562","title":"The Capital Gain Lock-in Effect and Return Seasonality","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Seasonality; Lock (firearm); Capital gain; Economics; Business; Geography; Mathematics; Statistics; Finance; Archaeology","score_opus":0.007346673275530493,"score_gpt":0.19900361664782282,"score_spread":0.19165694337229233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252943970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736555,0.0012511004,0.01472149,0.001660448,0.00008751544,0.000023346764,0.00026399439,0.00019205232,0.008144549],"genre_scores_gemma":[0.99823064,0.00010883059,0.00016413303,0.00005710404,0.000031589214,0.0000021858903,0.000035711393,0.000016623373,0.0013533758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959546,0.00006565704,0.00002887958,0.00010716077,0.000048627724,0.0001543377],"domain_scores_gemma":[0.96998906,0.020290727,0.005614194,0.0018447874,0.00075413525,0.0015071289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028076621,0.00023870732,0.00077209075,0.0007298333,0.0004402177,0.0021081343,0.00065074954,0.0014449133,0.011886207],"category_scores_gemma":[0.027233483,0.00033130485,0.000535012,0.00058213907,0.0014540179,0.0025058864,0.00072415365,0.0021864553,0.00070368167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034246403,0.0009991757,0.55071515,0.00043748986,0.0008280756,0.003375328,0.0015842995,0.08216934,0.025067966,0.19456819,0.01309586,0.12373455],"study_design_scores_gemma":[0.00021619545,0.0008642826,0.5441583,0.00007969339,0.0006281931,0.0017961537,0.0011411331,0.22181094,0.0065582977,0.21782568,0.004748736,0.00017246373],"about_ca_topic_score_codex":0.0021663052,"about_ca_topic_score_gemma":0.0023969188,"teacher_disagreement_score":0.011886207,"about_ca_system_score_codex":0.00065453973,"about_ca_system_score_gemma":0.00048298715,"threshold_uncertainty_score":0.03976333},"labels":[],"label_agreement":null},{"id":"W2253280407","doi":"10.1093/rof/rfv035","title":"The Performance of Market Timing Measures in a Simulated Environment","year":2015,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Desjardins; Université de Sherbrooke; Université Laval","funders":"Hong Kong University of Science and Technology; Université Laval","keywords":"Timer; Econometrics; Robustness (evolution); Computer science; Market timing; Equity (law); Statistics; Sampling (signal processing); Economics; Mathematics; Financial economics","score_opus":0.07445059480762205,"score_gpt":0.22218049085239666,"score_spread":0.1477298960447746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253280407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989122,0.00011540098,0.009382691,0.000084076746,0.000021142647,0.000021084255,0.00031554938,0.000117851705,0.00082027155],"genre_scores_gemma":[0.99702233,0.000028394676,0.0025332144,0.000009712173,0.000004249308,0.000016651014,0.00027038495,0.000012120366,0.00010286798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819523,0.00111788,0.00009879978,0.00024842998,0.00019349686,0.00014617782],"domain_scores_gemma":[0.9572447,0.033607893,0.0033261108,0.0030966399,0.0019942801,0.0007303893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00652614,0.0004067268,0.00059226045,0.0009293164,0.00020884008,0.0013333433,0.0007523933,0.0007562419,0.0009674453],"category_scores_gemma":[0.0351201,0.00021622199,0.0004746135,0.000835804,0.00060817733,0.0009816936,0.00060055783,0.0008278093,0.00014118433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006830291,0.0002534705,0.028956076,0.000067626206,0.00023504467,0.000053810185,0.00008416731,0.95440865,0.0013998331,0.004892386,0.00058233424,0.008383586],"study_design_scores_gemma":[0.000055533736,0.00031643087,0.008221322,0.00001738343,0.000044779958,0.00002478275,0.000039782757,0.9874615,0.0015462432,0.0019852868,0.00025954927,0.000027377331],"about_ca_topic_score_codex":0.0069911545,"about_ca_topic_score_gemma":0.0039150966,"teacher_disagreement_score":0.0069911545,"about_ca_system_score_codex":0.0008284841,"about_ca_system_score_gemma":0.0006638514,"threshold_uncertainty_score":0.03451395},"labels":[],"label_agreement":null},{"id":"W2253963835","doi":"10.5430/afr.v8n4p1","title":"The Driving Forces of Stock Returns in Hong Kong","year":2019,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Tyndale University","funders":"","keywords":"Dividend yield; Stock (firearms); Economics; Cash flow; Financial economics; Growth stock; Stock market; Dividend; Earnings; Monetary economics; Restricted stock; Dividend policy; Finance","score_opus":0.044870585963150716,"score_gpt":0.28461083656235275,"score_spread":0.23974025059920204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253963835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987231,0.00012812999,0.00006171064,0.0001300552,0.0000051922257,0.000006094172,0.00025908803,0.0000032500484,0.0006834261],"genre_scores_gemma":[0.99919194,0.000131005,0.000030416253,0.000019738172,0.0000057025504,0.000002215187,0.00019512449,0.0000015233005,0.0004222349],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997552,0.000026434844,0.000027532778,0.000046252608,0.000054448497,0.00009014024],"domain_scores_gemma":[0.9986632,0.00021958636,0.00051579304,0.00007425808,0.0002693455,0.00025788386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005209781,0.00023003358,0.00022839516,0.00086451357,0.00042459733,0.0012777215,0.00025024568,0.00022537207,0.0017188371],"category_scores_gemma":[0.0012160648,0.00023647446,0.00039851197,0.0011647796,0.00034331277,0.00046813194,0.00048365796,0.00035375933,0.00026220732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022714385,0.000032153068,0.99508023,0.000016160178,0.000052044994,0.000316386,0.00030121458,0.0005041791,0.00036337992,0.0003678355,0.0003560794,0.0025875282],"study_design_scores_gemma":[0.0000015799598,0.000008767377,0.9980862,0.0000057172742,0.000015825513,0.0000245065,0.00046005202,0.0009797801,0.00007992612,0.000054845674,0.00027804813,0.000004747342],"about_ca_topic_score_codex":0.20774429,"about_ca_topic_score_gemma":0.15762143,"teacher_disagreement_score":0.20774429,"about_ca_system_score_codex":0.0014109833,"about_ca_system_score_gemma":0.0015282138,"threshold_uncertainty_score":0.4130702},"labels":[],"label_agreement":null},{"id":"W2254630400","doi":"10.6293/aqafa.2013.11.08","title":"Mutual Fund Performance Measurement with Nonlinear Stochastic Discount Factors","year":2013,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mutual fund; Equity (law); Closed-end fund; Returns-based style analysis; Economics; Income fund; Target date fund; Econometrics; Open-end fund; Business; Fund administration; Monetary economics; Financial economics; Fund of funds; Finance; Institutional investor","score_opus":0.0632368474207169,"score_gpt":0.19645924211226198,"score_spread":0.13322239469154507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2254630400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95263743,0.00011701112,0.035639875,0.00017134214,0.0000124848275,0.000062506944,0.0011083969,0.00016090409,0.010090087],"genre_scores_gemma":[0.9966684,0.000027909138,0.0025897415,0.0000060449393,0.0000044863223,0.000007805406,0.00031374345,0.000005459195,0.00037636684],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966484,0.0008730335,0.00020407655,0.00043170777,0.0015279651,0.00031470717],"domain_scores_gemma":[0.98968446,0.0030790216,0.003951211,0.0013367531,0.0015964425,0.00035203106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037730609,0.00043001075,0.00020932511,0.0012629282,0.00019698094,0.0014702617,0.00058271334,0.00035982943,0.00086554134],"category_scores_gemma":[0.030753609,0.00018285484,0.00039581113,0.0016984659,0.0007119577,0.0012632073,0.0010025372,0.00053076266,0.0002203959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007564574,0.000094897616,0.6692591,0.00009204426,0.00031568165,0.0001621309,0.0008499881,0.20355344,0.0029123812,0.020921016,0.002077537,0.09900541],"study_design_scores_gemma":[0.000026545347,0.00020176607,0.5834636,0.000040638886,0.00006535603,0.00014777126,0.0002700876,0.39513934,0.0048279734,0.012659618,0.003039816,0.00011754317],"about_ca_topic_score_codex":0.07159245,"about_ca_topic_score_gemma":0.053961646,"teacher_disagreement_score":0.07159245,"about_ca_system_score_codex":0.0037847385,"about_ca_system_score_gemma":0.0013680696,"threshold_uncertainty_score":0.14235145},"labels":[],"label_agreement":null},{"id":"W2254943179","doi":"","title":"Price Discovery for Cross-Listed Stocks","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Price discovery; Stock exchange; Monetary economics; Business; Stock (firearms); Sample (material); Financial economics; Stock price; Economics; Share price; Shock (circulatory); Finance; Chemistry; Geography; Series (stratigraphy); Biology","score_opus":0.017977278211636256,"score_gpt":0.23737264700457664,"score_spread":0.2193953687929404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2254943179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964302,0.00067246106,0.00016793115,0.00027827488,0.000010859053,0.0000073612373,0.0007454061,0.000017559143,0.0016700014],"genre_scores_gemma":[0.99745363,0.00022502197,0.00009738328,0.000042949672,0.000038563005,0.0000034659868,0.001458668,0.0000041437906,0.00067618804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979899,0.00019185054,0.00018835702,0.00030475436,0.000870651,0.0004545675],"domain_scores_gemma":[0.95638806,0.014372659,0.020061607,0.0022004598,0.0051786127,0.0017985908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027013277,0.00028217284,0.0006848557,0.00441941,0.0008053389,0.002266196,0.0008706117,0.0010583245,0.0032612232],"category_scores_gemma":[0.02563637,0.0002346033,0.00082489505,0.004773444,0.00073991413,0.00209622,0.0015844837,0.0010984798,0.0005764994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013545109,0.00006773262,0.9898141,0.000019440598,0.00015083147,0.00037655098,0.0002578045,0.0005426594,0.0003469218,0.00038112627,0.0006805195,0.0072269384],"study_design_scores_gemma":[0.000019107552,0.000080015554,0.9925569,0.000007533448,0.00009294378,0.00064782327,0.00041526157,0.003848142,0.00085073756,0.0003758401,0.0010790034,0.000026604723],"about_ca_topic_score_codex":0.0625508,"about_ca_topic_score_gemma":0.064998485,"teacher_disagreement_score":0.0625508,"about_ca_system_score_codex":0.0017869294,"about_ca_system_score_gemma":0.00085623714,"threshold_uncertainty_score":0.12437338},"labels":[],"label_agreement":null},{"id":"W2256164290","doi":"10.2139/ssrn.2337634","title":"The Equity as a Call Option Hypothesis for the Value Premium","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Financial economics; Equity (law); Call option; Economics; Value (mathematics); Actuarial science; Business; Mathematics; Political science","score_opus":0.027284275807769362,"score_gpt":0.23190704048945188,"score_spread":0.2046227646816825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256164290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7623372,0.0018579072,0.16368781,0.02452974,0.0009818749,0.000100319005,0.00052184693,0.00035724379,0.045626003],"genre_scores_gemma":[0.9923039,0.0002849,0.0017070363,0.00034052087,0.0009818502,0.000024075434,0.00011125151,0.000027651997,0.0042188996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99920255,0.0001927731,0.00004414062,0.00021208763,0.0001469203,0.00020160183],"domain_scores_gemma":[0.9861545,0.009777706,0.0014657374,0.00079599186,0.00066100806,0.0011450511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040094364,0.0007191155,0.0013299893,0.0011708032,0.0007278569,0.004322075,0.0019141356,0.0042441697,0.024943722],"category_scores_gemma":[0.016409203,0.00038264686,0.0011067037,0.00058621087,0.003600307,0.0061492054,0.0015893407,0.0030793971,0.0015936648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002667332,0.0001626879,0.0071795746,0.000118091775,0.00007702566,0.00093301956,0.00026798612,0.0053603747,0.0030955274,0.9666705,0.003960682,0.011907775],"study_design_scores_gemma":[0.00019621103,0.00008423565,0.006600226,0.000033213964,0.00005928781,0.00035483378,0.00018469553,0.08076155,0.0005112416,0.9102638,0.0009061145,0.00004458155],"about_ca_topic_score_codex":0.0008331486,"about_ca_topic_score_gemma":0.0004033012,"teacher_disagreement_score":0.024943722,"about_ca_system_score_codex":0.0008134654,"about_ca_system_score_gemma":0.0010386746,"threshold_uncertainty_score":0.08344501},"labels":[],"label_agreement":null},{"id":"W2256550019","doi":"10.5539/ijef.v8n2p256","title":"Type of Traders’ Effect on Risk and Return: The Case of Egyptian Stock Exchange","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Econometrics; Financial economics; Autoregressive conditional heteroskedasticity; Monetary economics; Capital market; Finance","score_opus":0.03245841767523564,"score_gpt":0.2355800743725344,"score_spread":0.20312165669729876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256550019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956873,0.00050494226,0.00030603205,0.00059355225,0.000013507712,0.000007196079,0.00013073528,0.000010127426,0.0027464798],"genre_scores_gemma":[0.9982659,0.0002246265,0.00008482066,0.00003259672,0.000022219898,0.0000022187255,0.00010003719,0.0000028995955,0.0012646067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993542,0.00023408693,0.00003930852,0.000110683504,0.00009007907,0.00017164738],"domain_scores_gemma":[0.99336034,0.004511135,0.0010503692,0.00035981837,0.00039337456,0.00032496004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019462346,0.00030452968,0.00042235042,0.0008871061,0.0004135248,0.0018376347,0.00051253894,0.0010731494,0.0057589742],"category_scores_gemma":[0.0065489495,0.00013415661,0.00116919,0.00064262917,0.00056878815,0.0010915836,0.0005687482,0.0012382634,0.0004303977],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011222861,0.00038048349,0.93878394,0.00010879742,0.0005531548,0.0054697185,0.0008284248,0.024791874,0.0015319058,0.007442936,0.0021642887,0.016822264],"study_design_scores_gemma":[0.000100133875,0.00036100936,0.89776397,0.000066457935,0.0007574019,0.0008151124,0.0028286257,0.08815438,0.0018185338,0.004418571,0.0028449486,0.00007083741],"about_ca_topic_score_codex":0.023651952,"about_ca_topic_score_gemma":0.014686083,"teacher_disagreement_score":0.023651952,"about_ca_system_score_codex":0.0006436733,"about_ca_system_score_gemma":0.0004885945,"threshold_uncertainty_score":0.0470286},"labels":[],"label_agreement":null},{"id":"W2257170430","doi":"","title":"The Shrinking Index Effect - A Global Perspective","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Equity (law); Arbitrage; Economics; Capitalization-weighted index; Stock market index; Excess return; Financial economics; Index fund; Profit (economics); Stock market; Monetary economics; Finance; Institutional investor; Geography; Corporate governance","score_opus":0.012697223811085455,"score_gpt":0.21953776106379186,"score_spread":0.2068405372527064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257170430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74624044,0.032785073,0.0126525685,0.014013186,0.00067975407,0.00003457865,0.0019004743,0.0003738528,0.19132009],"genre_scores_gemma":[0.9837976,0.008042619,0.0017497648,0.0010415283,0.0005913103,0.0000069416014,0.000398821,0.000094622425,0.0042769457],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996754,0.000051868352,0.000019814504,0.000112070265,0.00008390929,0.00005703147],"domain_scores_gemma":[0.99732673,0.0007590575,0.00086400815,0.00039464483,0.0004765717,0.00017907642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091601827,0.0003459199,0.00060517783,0.0020638206,0.00030555014,0.002515173,0.00046034492,0.000551158,0.008946838],"category_scores_gemma":[0.003001542,0.00012358274,0.00044537656,0.0023232365,0.0017609735,0.004522378,0.0012461803,0.0011300612,0.000982277],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003137262,0.00013366694,0.40149415,0.0008150242,0.00042372083,0.0019244046,0.0021381306,0.0071844803,0.009570055,0.18864565,0.017709576,0.36964732],"study_design_scores_gemma":[0.000024032559,0.00036622307,0.75383663,0.00037503065,0.0002910112,0.0024604,0.0026141065,0.005367334,0.004431086,0.08218263,0.14795321,0.00009842463],"about_ca_topic_score_codex":0.0017213115,"about_ca_topic_score_gemma":0.0018792499,"teacher_disagreement_score":0.008946838,"about_ca_system_score_codex":0.0004960109,"about_ca_system_score_gemma":0.0003934212,"threshold_uncertainty_score":0.029930174},"labels":[],"label_agreement":null},{"id":"W2257627798","doi":"","title":"A Collection on the Versatility and Predictive Power of Survey Expectations Data","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alchemy (Canada)","funders":"","keywords":"Economics; Predictive power; Rational expectations; Stock (firearms); Explanatory power; Inflation (cosmology); Financial economics; Portfolio; Stock market; Financial market; Capital asset pricing model; Survey data collection; Monetary economics; Econometrics; Finance","score_opus":0.037303033148648995,"score_gpt":0.23336028921123142,"score_spread":0.19605725606258242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257627798","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06459657,0.14940965,0.40388903,0.12103761,0.03725259,0.0018387904,0.05928341,0.0040875515,0.15860477],"genre_scores_gemma":[0.25753492,0.22084525,0.2861313,0.04468986,0.057304863,0.003948636,0.085081995,0.004300548,0.040162638],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9819603,0.006895054,0.0021075506,0.0016117864,0.0070830807,0.0003421747],"domain_scores_gemma":[0.71300817,0.2125208,0.0099897,0.033350274,0.029380089,0.0017508861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024928892,0.0010543786,0.0011953897,0.020215038,0.0016246119,0.005463175,0.001350142,0.0021166953,0.007869131],"category_scores_gemma":[0.15295695,0.0014428193,0.0019031914,0.022803433,0.0024414617,0.0077660754,0.004134457,0.0038806906,0.0033792742],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013615421,0.00015059073,0.028213516,0.0031016895,0.00048405075,0.0003654509,0.0032553573,0.0027143722,0.002883549,0.0592523,0.31448284,0.5849602],"study_design_scores_gemma":[0.000040603016,0.00026440484,0.05154558,0.006757019,0.00019510053,0.0010547125,0.0015476842,0.0038628636,0.0030189778,0.053158935,0.87823725,0.0003167383],"about_ca_topic_score_codex":0.0031791332,"about_ca_topic_score_gemma":0.0037776234,"teacher_disagreement_score":0.024928892,"about_ca_system_score_codex":0.0018496396,"about_ca_system_score_gemma":0.002606033,"threshold_uncertainty_score":0.1318382},"labels":[],"label_agreement":null},{"id":"W2258116355","doi":"10.2139/ssrn.2389408","title":"Short-Term Reversals and the Efficiency of Liquidity Provision","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Quarter (Canadian coin); Monetary economics; Institutional investor; Economics; De facto; Proxy (statistics); Market efficiency; Stock (firearms); Financial economics; Finance; Corporate governance","score_opus":0.012023490286720926,"score_gpt":0.2056880055145448,"score_spread":0.19366451522782388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2258116355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988706,0.00076500967,0.004636758,0.00046072452,0.000034674515,0.00001244035,0.00012794547,0.0001146043,0.0051418026],"genre_scores_gemma":[0.9986659,0.00009048138,0.00030134208,0.000016687469,0.000015840596,0.0000028561747,0.000054887838,0.000014136913,0.0008378776],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993581,0.00017071558,0.00009471137,0.00008346763,0.00014492063,0.00014811629],"domain_scores_gemma":[0.9845642,0.006662567,0.0052574445,0.0017657067,0.000987133,0.00076305703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024026039,0.00025138565,0.0004535628,0.00088082405,0.00036167557,0.0025478192,0.00074806076,0.0012436416,0.0061918865],"category_scores_gemma":[0.028605409,0.0003121914,0.00032901057,0.0006018503,0.00084215146,0.0028700458,0.0008374458,0.0014908683,0.0010977858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012816912,0.0016505604,0.27777517,0.000555802,0.000701458,0.0028646765,0.0012245364,0.16500555,0.08323038,0.18632235,0.0067756646,0.2610769],"study_design_scores_gemma":[0.00068159,0.002231868,0.3934824,0.0001306736,0.0004003362,0.002741801,0.0016064285,0.2917104,0.03478117,0.26605225,0.005929533,0.0002515946],"about_ca_topic_score_codex":0.0004748794,"about_ca_topic_score_gemma":0.00036587156,"teacher_disagreement_score":0.0061918865,"about_ca_system_score_codex":0.00056537753,"about_ca_system_score_gemma":0.0005511829,"threshold_uncertainty_score":0.020713925},"labels":[],"label_agreement":null},{"id":"W2258382097","doi":"","title":"The Investment Characteristics Of ADRs","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Weighting; Index (typography); Portfolio; Sample (material); Risk–return spectrum; Investment (military); Economics; Dividend; Actuarial science; Financial economics; Business; Econometrics; Medicine; Finance; Chemistry; Computer science; Political science","score_opus":0.01469490736585339,"score_gpt":0.20088294391091688,"score_spread":0.1861880365450635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2258382097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992934,0.00028260922,0.00026531745,0.00012235562,0.000008059398,0.00001712346,0.0013423675,0.000014513199,0.005013667],"genre_scores_gemma":[0.9958611,0.00013267026,0.00018679518,0.000019426763,0.00001976972,0.000007682243,0.001355292,0.0000042563893,0.0024128938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930155,0.000100785954,0.0001240366,0.000109005334,0.00022692201,0.00013767795],"domain_scores_gemma":[0.9925061,0.0006633585,0.004807462,0.0003452634,0.0010733303,0.00060448865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010095706,0.00017649707,0.00022703082,0.0019432701,0.0002787125,0.0012264082,0.00021047489,0.00020661802,0.0026124949],"category_scores_gemma":[0.0054643177,0.00009176023,0.00017470086,0.0019998318,0.00021547636,0.00061400124,0.00043618347,0.00032790832,0.0007992446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081471044,0.00003915609,0.98293394,0.000013928779,0.000023149842,0.000105542436,0.00016015476,0.00027122285,0.00031178846,0.0005521396,0.0006623824,0.014845015],"study_design_scores_gemma":[0.0000022671056,0.00005146924,0.9947865,0.0000063547877,0.000007976751,0.00024066633,0.00018744149,0.0003856948,0.00026167295,0.0001860268,0.0038781285,0.000005681096],"about_ca_topic_score_codex":0.003443151,"about_ca_topic_score_gemma":0.0035915766,"teacher_disagreement_score":0.003443151,"about_ca_system_score_codex":0.00063870335,"about_ca_system_score_gemma":0.00032273235,"threshold_uncertainty_score":0.00873971},"labels":[],"label_agreement":null},{"id":"W2258530251","doi":"10.2139/ssrn.2022439","title":"Competition and Strategic Control of a Central Counterparty: When Lower Risk Increases Profit","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Business; Counterparty; Competition (biology); Profit (economics); Industrial organization; Credit risk; Merger control; Finance; Economics; Microeconomics","score_opus":0.012365888207005613,"score_gpt":0.1945652417526113,"score_spread":0.18219935354560568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2258530251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91814137,0.00036278053,0.010530894,0.0033422504,0.000068045265,0.000038945265,0.000053765845,0.00006166919,0.067400195],"genre_scores_gemma":[0.99881387,0.000018707771,0.00024764176,0.00005012197,0.000018527611,0.000003071435,0.0000050379194,0.0000037130285,0.00083934027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99880517,0.00030287605,0.000059236187,0.00022687073,0.00019370762,0.00041207956],"domain_scores_gemma":[0.9903694,0.004698745,0.0018627485,0.00060200226,0.0006501082,0.001816957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023270173,0.00043865084,0.0009019266,0.00066808064,0.0009232325,0.0053575197,0.0008030544,0.0029440385,0.017611235],"category_scores_gemma":[0.015786072,0.00025963903,0.00047352808,0.00038420781,0.0022726376,0.004811709,0.0018373505,0.0021490545,0.0005839276],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005017128,0.0018044194,0.05348748,0.0005174824,0.0003790411,0.0035415005,0.0021166008,0.037911933,0.029978298,0.77585554,0.0085434085,0.08084719],"study_design_scores_gemma":[0.0004978678,0.0013348159,0.043510694,0.00007810026,0.00018440982,0.0009378053,0.002148843,0.07381643,0.0041783014,0.86983025,0.0033543478,0.00012820069],"about_ca_topic_score_codex":0.0012464023,"about_ca_topic_score_gemma":0.001638257,"teacher_disagreement_score":0.017611235,"about_ca_system_score_codex":0.0011869774,"about_ca_system_score_gemma":0.0014103162,"threshold_uncertainty_score":0.058915436},"labels":[],"label_agreement":null},{"id":"W2258727868","doi":"10.6413/ajmhs.200909.0125","title":"Calendar anomaly in 3 Indices of CNX Nifty with respect to empirical study of quarter of the year effect, month of the year effect for the period of January 2004 -March 2013","year":2013,"lang":"en","type":"article","venue":"Asian Journal of Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Quarter (Canadian coin); Volatility (finance); Stock market index; Economics; Mathematics; Econometrics; Stock market; Geography","score_opus":0.012192027279360156,"score_gpt":0.23026681983655248,"score_spread":0.2180747925571923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2258727868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931937,0.0003532636,0.00031560523,0.00013097032,0.00005974807,0.0000131508195,0.0026997696,0.00003249001,0.0032013124],"genre_scores_gemma":[0.99614525,0.000110811685,0.00010113631,0.000019004508,0.000050750077,0.000008901774,0.0026851452,0.000009293486,0.00086982775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986859,0.00013583431,0.00014040382,0.00024536162,0.00062119274,0.0001712691],"domain_scores_gemma":[0.9929803,0.0012950823,0.003972775,0.00037954925,0.00090416265,0.00046814498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010354246,0.00021994457,0.00031623815,0.0012589049,0.00019629135,0.00090033555,0.00031892981,0.00022350266,0.002630783],"category_scores_gemma":[0.0054882513,0.00009845721,0.00044762634,0.002364642,0.00023527777,0.00034878077,0.0005299448,0.00058576657,0.0003652655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013673643,0.000024410996,0.99181765,0.000022003602,0.00008662889,0.00010994942,0.00013544895,0.00040908356,0.00035337487,0.00022262835,0.0013303836,0.005351633],"study_design_scores_gemma":[0.0000012731454,0.000027926679,0.9981711,0.0000038569237,0.000013998251,0.000033045675,0.00005270556,0.00060804765,0.00011214948,0.00002698707,0.00094603526,0.0000029480912],"about_ca_topic_score_codex":0.01601953,"about_ca_topic_score_gemma":0.0150428265,"teacher_disagreement_score":0.01601953,"about_ca_system_score_codex":0.0007781735,"about_ca_system_score_gemma":0.000677859,"threshold_uncertainty_score":0.031852543},"labels":[],"label_agreement":null},{"id":"W2259793840","doi":"10.1111/jbfa.12180","title":"The Volatility of Return Revisions and Financial Statement Literacy in Emerging Markets: The Case of Cross‐listed Chinese Firms","year":2016,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cash flow; Monetary economics; Equity (law); Volatility (finance); Economics; Financial literacy; Emerging markets; Business; Financial economics; Financial statement; Uncorrelated; Accounting; Finance","score_opus":0.01817280822110416,"score_gpt":0.27184481408671674,"score_spread":0.25367200586561256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2259793840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99948466,0.00003834762,0.00002745779,0.00009631814,9.1217754e-7,0.0000017344062,0.000023582377,7.610814e-7,0.0003262863],"genre_scores_gemma":[0.9998797,0.000022790662,0.0000069986513,0.000005947625,0.000002881437,5.223531e-7,0.000024597994,2.7226667e-7,0.00005629442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973553,0.000055578686,0.000025016634,0.00003913191,0.00004991433,0.000094786],"domain_scores_gemma":[0.98870045,0.0042663994,0.004893628,0.00044630177,0.0006558688,0.0010373301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017574121,0.00019393298,0.00029799624,0.0009815304,0.0005174448,0.0017019567,0.00041853212,0.0006018445,0.0029507284],"category_scores_gemma":[0.007460612,0.00016925042,0.00039253166,0.0008588601,0.0008980014,0.0012201518,0.0008492525,0.0008736565,0.00019452265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013857338,0.00006706104,0.9940989,0.000007637499,0.000043396165,0.0005940466,0.0006422162,0.00082816684,0.00025187267,0.00078058406,0.00012874325,0.0024188515],"study_design_scores_gemma":[0.000015649624,0.000047270845,0.987414,0.000008164884,0.00003946848,0.00017378342,0.0013904875,0.009521923,0.00029787983,0.00093719445,0.0001372788,0.00001699177],"about_ca_topic_score_codex":0.033915013,"about_ca_topic_score_gemma":0.020808108,"teacher_disagreement_score":0.033915013,"about_ca_system_score_codex":0.00088393653,"about_ca_system_score_gemma":0.00061435305,"threshold_uncertainty_score":0.067435205},"labels":[],"label_agreement":null},{"id":"W2259918937","doi":"10.2139/ssrn.2617667","title":"Ambiguity in Option Markets Evidence from SEOs","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ambiguity; Business; Financial economics; Economics; Computer science","score_opus":0.05122032181536254,"score_gpt":0.24049501833729972,"score_spread":0.18927469652193718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2259918937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752586,0.0007711689,0.0019115924,0.0010733743,0.000026385758,0.000016124308,0.00022614385,0.000015896867,0.020700626],"genre_scores_gemma":[0.99886787,0.00019878519,0.00018551573,0.00007802192,0.000031299154,0.0000037407042,0.00011806321,0.000009002282,0.00050774624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977744,0.00077787996,0.0002611972,0.00023154606,0.00071023306,0.00024476438],"domain_scores_gemma":[0.8858155,0.08354003,0.016126622,0.007380337,0.0045927367,0.0025447523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006558179,0.00031719563,0.00079401355,0.0017834752,0.00087380764,0.003877831,0.0008017123,0.0017316517,0.0151529005],"category_scores_gemma":[0.07847018,0.0003374519,0.00034286286,0.0016649051,0.0020701855,0.0051908847,0.0022395519,0.0023352203,0.0012020452],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008277019,0.0014769254,0.63530385,0.0007239206,0.0005301564,0.0038410174,0.01263129,0.0069288616,0.0045431135,0.23277676,0.006480701,0.086486466],"study_design_scores_gemma":[0.0005399216,0.00073473604,0.5244724,0.00054438587,0.00038282576,0.0040869405,0.012302044,0.013923006,0.0039170547,0.41971165,0.019236706,0.0001483734],"about_ca_topic_score_codex":0.0006474427,"about_ca_topic_score_gemma":0.0005199376,"teacher_disagreement_score":0.0151529005,"about_ca_system_score_codex":0.0002990929,"about_ca_system_score_gemma":0.00033326828,"threshold_uncertainty_score":0.050691485},"labels":[],"label_agreement":null},{"id":"W2260102536","doi":"10.1111/j.1540-6261.2004.00697.x","title":"Idiosyncratic Consumption Risk and the Cross Section of Asset Returns","year":2004,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Capital asset pricing model; Consumption (sociology); Systematic risk; Consumption-based capital asset pricing model; Aggregate (composite); Asset (computer security); Economics; Econometrics; Variance (accounting); Computer science","score_opus":0.0217754908475513,"score_gpt":0.2281431308914523,"score_spread":0.206367640043901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2260102536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698011,0.0006040902,0.027129766,0.00029357904,0.000013780909,0.000012070904,0.00017634533,0.00008116277,0.0018881252],"genre_scores_gemma":[0.99863595,0.00015884223,0.00047208328,0.00001514905,0.000012608171,0.0000041598114,0.00011229152,0.000007392167,0.0005813927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995453,0.0001761752,0.000022966962,0.0001091475,0.0000704964,0.00007588982],"domain_scores_gemma":[0.98927444,0.006744666,0.0020363785,0.0011149307,0.00053204806,0.00029745168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029627976,0.00053794176,0.0005522157,0.0008651595,0.0001620112,0.0014766691,0.0004264375,0.0007523294,0.0027451485],"category_scores_gemma":[0.014239369,0.00040079694,0.0005129749,0.00091208174,0.00063464907,0.0012736886,0.0008311698,0.00081430416,0.00036551178],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034844785,0.00015536987,0.55985034,0.0000797394,0.00078499835,0.0010236863,0.0003289481,0.3433429,0.003965878,0.058903042,0.001126194,0.030090425],"study_design_scores_gemma":[0.00002463205,0.000114428425,0.2662789,0.00003220788,0.00017077627,0.00066640275,0.00014154031,0.67477447,0.0022535871,0.054412562,0.0010746352,0.00005584524],"about_ca_topic_score_codex":0.0020941135,"about_ca_topic_score_gemma":0.0009985009,"teacher_disagreement_score":0.0029627976,"about_ca_system_score_codex":0.00054950593,"about_ca_system_score_gemma":0.00021589179,"threshold_uncertainty_score":0.015668988},"labels":[],"label_agreement":null},{"id":"W2261298905","doi":"10.5539/mas.v10n4p168","title":"Return Determinants in a Deteriorating Market Sentiment: Evidence from Jordan","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Applied Science Private University","keywords":"Speculation; Market sentiment; Sample (material); Stock market; Stock exchange; Regression analysis; Business; Econometrics; Perspective (graphical); Stock (firearms); Panel data; Financial economics; Monetary economics; Economics; Finance; Statistics; Computer science","score_opus":0.040213649785160475,"score_gpt":0.237019899268767,"score_spread":0.1968062494836065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261298905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984232,0.00014132257,0.000038532526,0.00015841286,0.0000017512026,0.0000022802294,0.000094231495,0.0000014058954,0.0011389167],"genre_scores_gemma":[0.99900275,0.0002069709,0.00003371603,0.000075904485,0.000011453079,0.0000016708443,0.00025895773,0.0000026209923,0.00040595053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948454,0.00020148513,0.000039698163,0.000075642,0.00011176306,0.000086817905],"domain_scores_gemma":[0.99441177,0.001226968,0.0027490172,0.00026880676,0.00083127606,0.000512181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016951236,0.00018955053,0.00027384175,0.0007447774,0.0003292861,0.0010283608,0.00034126738,0.00033409602,0.002091771],"category_scores_gemma":[0.0040076924,0.00014828063,0.0003726828,0.0013132122,0.0005927303,0.0005471587,0.0006106715,0.0004692229,0.0006160056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019892765,0.00012734685,0.9924285,0.000017408516,0.000053760563,0.00022917974,0.0008876578,0.00016716057,0.00019554906,0.00022852543,0.00039273128,0.005073159],"study_design_scores_gemma":[0.000010960825,0.00007300067,0.99667406,0.000015563935,0.000032760323,0.00010160785,0.0013336461,0.00042294053,0.00015680253,0.00010573579,0.0010680694,0.0000047070803],"about_ca_topic_score_codex":0.009435764,"about_ca_topic_score_gemma":0.007917064,"teacher_disagreement_score":0.009435764,"about_ca_system_score_codex":0.0003738589,"about_ca_system_score_gemma":0.00043644418,"threshold_uncertainty_score":0.018761694},"labels":[],"label_agreement":null},{"id":"W2261755876","doi":"10.3386/w22001","title":"What do we learn from stock price reactions to China’s first announcement of anti-corruption reforms?","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"China; Language change; Stock price; Stock (firearms); Monetary economics; Economics; Financial economics; Business; Political science; Law; Philosophy; Geography; Biology","score_opus":0.25245769276515845,"score_gpt":0.41800213317451385,"score_spread":0.1655444404093554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261755876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8115802,0.01499282,0.00051194377,0.113268,0.0013068274,0.00005916055,0.005929303,0.00005061177,0.05230107],"genre_scores_gemma":[0.9688825,0.011231372,0.00015160415,0.008375539,0.0011654914,0.000020606201,0.0023405221,0.0000138517225,0.007818491],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939513,0.000090768954,0.000040834773,0.000080548154,0.0001932318,0.00019941223],"domain_scores_gemma":[0.99468875,0.00084251194,0.002132994,0.00021488038,0.0015868823,0.0005340617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016927724,0.00025883428,0.0003566303,0.0012533093,0.00061057776,0.0031809532,0.00040784985,0.0011281187,0.0050956514],"category_scores_gemma":[0.008016831,0.00012318579,0.0003287729,0.002401002,0.000947137,0.0026926845,0.00085309084,0.0019791299,0.00077986124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001649635,0.00016802277,0.83762884,0.00033144548,0.00014213908,0.0006964802,0.007255913,0.0005422756,0.00038931792,0.009941709,0.05643057,0.08630838],"study_design_scores_gemma":[0.000017745422,0.0001025766,0.9508108,0.00027086976,0.000053713935,0.000076102435,0.011700905,0.0007924442,0.00043143425,0.0034172267,0.03227456,0.000051640916],"about_ca_topic_score_codex":0.088456996,"about_ca_topic_score_gemma":0.1520826,"teacher_disagreement_score":0.088456996,"about_ca_system_score_codex":0.0023533718,"about_ca_system_score_gemma":0.0022360352,"threshold_uncertainty_score":0.17588425},"labels":[],"label_agreement":null},{"id":"W2261783689","doi":"","title":"Mutual fund investment horizon and performance","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Horizon; Closed-end fund; Fund of funds; Earnings; Term (time); Stock (firearms); Manager of managers fund; Mutual fund; Financial economics; Economics; Open-end fund; Business; Finance; Investment (military); Monetary economics; Institutional investor","score_opus":0.08692324134058274,"score_gpt":0.2896718760624981,"score_spread":0.20274863472191537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261783689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983563,0.0010644277,0.0016038531,0.00039527658,0.000015492256,0.000013545112,0.0005938109,0.00006282184,0.012687831],"genre_scores_gemma":[0.99869007,0.00013736925,0.000270023,0.000011435451,0.000022760334,0.000002794782,0.00020794643,0.0000031057232,0.0006545263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943405,0.00011818771,0.00006079855,0.000057349596,0.00023206374,0.0000975864],"domain_scores_gemma":[0.98280805,0.004550644,0.009852592,0.0005155469,0.0007896161,0.0014835153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002105012,0.00022345727,0.00019650295,0.0011712372,0.00020102793,0.0013113861,0.00026880097,0.0003430072,0.0032768147],"category_scores_gemma":[0.01824353,0.00007186664,0.00016361504,0.00077573804,0.0002972823,0.0011921319,0.0007653258,0.00032569375,0.00048154782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005214034,0.00013564649,0.92532533,0.000081101636,0.00021220047,0.00017649995,0.00033997223,0.0062122447,0.0013348868,0.006311771,0.0014718819,0.057877075],"study_design_scores_gemma":[0.000018017838,0.00022388829,0.9854907,0.00003730888,0.000062631305,0.00025199915,0.00015464086,0.005960794,0.0010088448,0.004250824,0.0025140936,0.000026306263],"about_ca_topic_score_codex":0.0018807389,"about_ca_topic_score_gemma":0.0020425802,"teacher_disagreement_score":0.0032768147,"about_ca_system_score_codex":0.00083771715,"about_ca_system_score_gemma":0.0003401385,"threshold_uncertainty_score":0.011132479},"labels":[],"label_agreement":null},{"id":"W2261825762","doi":"10.2139/ssrn.1776194","title":"Dynamic Growth Equity Returns","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Equity (law); Economics; Financial economics; Business; Financial system; Monetary economics; Econometrics; Political science","score_opus":0.031474255283055974,"score_gpt":0.2251886387948915,"score_spread":0.19371438351183554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261825762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8607315,0.000849534,0.036517583,0.0034429466,0.00016535398,0.000031521544,0.0011453342,0.00042195292,0.09669423],"genre_scores_gemma":[0.9823967,0.00021680178,0.0005220597,0.00004951648,0.000031635165,0.0000056030676,0.0002270302,0.000023022845,0.016527664],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985874,0.000017358507,0.000003972581,0.00004434874,0.000036486646,0.000039174818],"domain_scores_gemma":[0.9993698,0.00020175926,0.0001342354,0.000061548715,0.00010944946,0.00012320152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039444063,0.00029768219,0.00025188827,0.0005138624,0.00020931652,0.0018453792,0.0003381309,0.00075225095,0.012167809],"category_scores_gemma":[0.0037849573,0.00016867093,0.00021970774,0.000415595,0.0004597181,0.0020310208,0.0006032285,0.0008816889,0.0014439746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035752673,0.00020972693,0.036773857,0.000063186926,0.00007833859,0.001133653,0.00032617865,0.13755076,0.01231616,0.68040603,0.025035582,0.10574901],"study_design_scores_gemma":[0.000053622633,0.000113247384,0.046628427,0.000032165342,0.000045715253,0.0009182794,0.0003768079,0.58060634,0.004681552,0.3510257,0.015459894,0.00005832829],"about_ca_topic_score_codex":0.0021000847,"about_ca_topic_score_gemma":0.0012682859,"teacher_disagreement_score":0.012167809,"about_ca_system_score_codex":0.0009163883,"about_ca_system_score_gemma":0.000353188,"threshold_uncertainty_score":0.040705383},"labels":[],"label_agreement":null},{"id":"W2261840051","doi":"","title":"End-of-the-year economic growth and time-varying expected returns","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Danmarks Grundforskningsfond; National Research Foundation","keywords":"Economics; Rest (music); Dividend; Stock (firearms); Stock market; Quarter (Canadian coin); Econometrics; Sample (material); Business cycle; Growth stock; Monetary economics; Financial economics; Macroeconomics; Finance","score_opus":0.03653512610315904,"score_gpt":0.26354710389756725,"score_spread":0.2270119777944082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261840051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945878,0.00037378597,0.0014277719,0.0002482473,0.000023609156,0.0000040131254,0.00085023243,0.000025154402,0.0024595323],"genre_scores_gemma":[0.99752027,0.00019251408,0.00014932337,0.000023922543,0.000025254616,0.000004124547,0.0011632667,0.0000075049966,0.0009139013],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971217,0.00004827086,0.000020918242,0.00006785336,0.000050787698,0.00009995242],"domain_scores_gemma":[0.98804945,0.0044499952,0.0052252878,0.0005493745,0.00058067305,0.0011452148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010919294,0.00031978995,0.0004415658,0.00070314674,0.00017355854,0.001484962,0.00043382807,0.0005789395,0.0030826223],"category_scores_gemma":[0.008307764,0.00010754527,0.00040661497,0.00085873,0.0003445026,0.0008619923,0.000708864,0.0010405153,0.0005788537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000489412,0.00012787642,0.9726176,0.000028329057,0.00013413854,0.00035946423,0.00015509839,0.010112966,0.00085178594,0.0029831387,0.0016642079,0.010476002],"study_design_scores_gemma":[0.000006362794,0.00007015618,0.98372525,0.000011079907,0.00003410945,0.000108840155,0.00011056036,0.012106882,0.00054150505,0.002358187,0.00090987026,0.000017142542],"about_ca_topic_score_codex":0.004505868,"about_ca_topic_score_gemma":0.0045270566,"teacher_disagreement_score":0.004505868,"about_ca_system_score_codex":0.0003676157,"about_ca_system_score_gemma":0.00023858811,"threshold_uncertainty_score":0.010312438},"labels":[],"label_agreement":null},{"id":"W2262015899","doi":"10.2139/ssrn.2256217","title":"Convert Arbitrage, Happy Meals, and Insider Trading","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Arbitrage; Insider trading; Business; Index arbitrage; Financial economics; Pairs trade; Algorithmic trading; Risk arbitrage; Monetary economics; Insider; Statistical arbitrage; Economics; Alternative trading system; Finance; Political science; Capital asset pricing model; Law","score_opus":0.016293215548381496,"score_gpt":0.19292673669716034,"score_spread":0.17663352114877884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262015899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93672043,0.0021185128,0.004687085,0.001790596,0.00009946395,0.000016533055,0.00011040905,0.00007585734,0.05438106],"genre_scores_gemma":[0.9940837,0.00018397284,0.00028690402,0.00004931594,0.000059922866,0.0000021190858,0.000035187957,0.000009352395,0.0052895998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99959964,0.0001405694,0.00002444422,0.00007902575,0.0000707383,0.000085526364],"domain_scores_gemma":[0.99591285,0.0019418884,0.0012478774,0.00030435278,0.000121934296,0.00047102146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012276875,0.0002529812,0.000550998,0.0005166873,0.0008357438,0.0036475079,0.0005054558,0.0014098919,0.018465908],"category_scores_gemma":[0.010956197,0.00021768344,0.0003451418,0.00042947347,0.001517192,0.0032726915,0.0013998909,0.0017519156,0.00085050013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007159228,0.001839702,0.1681107,0.0003707742,0.00032710723,0.0058483984,0.0042956513,0.013051639,0.005592867,0.61767256,0.014351732,0.16137964],"study_design_scores_gemma":[0.00036411016,0.0010005928,0.16730617,0.00014310035,0.0002347142,0.0035074302,0.005422854,0.04196162,0.0019582764,0.76021564,0.017709037,0.00017645795],"about_ca_topic_score_codex":0.0010472235,"about_ca_topic_score_gemma":0.0012147271,"teacher_disagreement_score":0.018465908,"about_ca_system_score_codex":0.0004385068,"about_ca_system_score_gemma":0.0002175133,"threshold_uncertainty_score":0.06177461},"labels":[],"label_agreement":null},{"id":"W2262392885","doi":"10.2139/ssrn.2136754","title":"Conditional Asset Pricing and Momentum","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Capital asset pricing model; Financial economics; Momentum (technical analysis); Economics; Econometrics; Business","score_opus":0.016086696590057015,"score_gpt":0.20985109010654235,"score_spread":0.19376439351648533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262392885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83107644,0.0025260127,0.11651125,0.0066339835,0.0003110089,0.000023881505,0.0002502907,0.00029592213,0.042371202],"genre_scores_gemma":[0.9937528,0.0003700925,0.0011099885,0.000069555965,0.00015412105,0.000005761607,0.00006817044,0.000019655641,0.004449838],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966013,0.00010332187,0.000017736587,0.00007027278,0.00006814469,0.00008030501],"domain_scores_gemma":[0.9926542,0.0045921137,0.0010456522,0.0005529361,0.000489937,0.0006652239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016457167,0.00042540842,0.0006816559,0.00081223925,0.00053154485,0.0030617802,0.0005474313,0.0011688559,0.010172648],"category_scores_gemma":[0.019205878,0.00034801752,0.0005040658,0.0009131447,0.0018284329,0.0067483797,0.0010777797,0.0022627003,0.00041117158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011611037,0.00007222807,0.0059972787,0.000021928128,0.000032606764,0.00024090562,0.00013565515,0.009245384,0.00043963335,0.9705569,0.001783894,0.011357443],"study_design_scores_gemma":[0.000023901872,0.00002806676,0.005805079,0.000012419027,0.000022396756,0.00019491001,0.000061553415,0.0847318,0.00019594515,0.9080928,0.00080859027,0.000022513039],"about_ca_topic_score_codex":0.001998557,"about_ca_topic_score_gemma":0.0011586298,"teacher_disagreement_score":0.010172648,"about_ca_system_score_codex":0.00068895594,"about_ca_system_score_gemma":0.0005747229,"threshold_uncertainty_score":0.034030855},"labels":[],"label_agreement":null},{"id":"W2262594073","doi":"10.2139/ssrn.2468596","title":"Redefining Short Sales Constraints","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Business; Industrial organization; Economics","score_opus":0.021094359106986094,"score_gpt":0.2085698034324549,"score_spread":0.1874754443254688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262594073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41283992,0.005034417,0.34486988,0.010481124,0.001462863,0.00014055683,0.0013688717,0.0008786277,0.22292382],"genre_scores_gemma":[0.9519881,0.0010262553,0.018519597,0.0003984067,0.00027588854,0.000042506643,0.0002320783,0.00024219521,0.02727499],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995024,0.00014041078,0.000031054304,0.00010545175,0.000099128054,0.00012151297],"domain_scores_gemma":[0.99519086,0.0026384606,0.0006532193,0.0006158374,0.00039375684,0.0005078561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001444709,0.0007659143,0.000949526,0.0007855211,0.00060286646,0.0029350563,0.0016892441,0.0014865707,0.02643698],"category_scores_gemma":[0.011444145,0.0005587749,0.0004237902,0.0009070457,0.0009013067,0.0046735215,0.001469944,0.0025591615,0.0011602228],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028084137,0.00014037323,0.0017941138,0.00023725977,0.000056785564,0.00064622477,0.0003099791,0.13988033,0.004326157,0.7608561,0.011484656,0.07998722],"study_design_scores_gemma":[0.00006128275,0.000094509305,0.0011784806,0.000091442525,0.0000261108,0.00018723356,0.00024999664,0.33075008,0.0020893828,0.6455101,0.019723084,0.000038373215],"about_ca_topic_score_codex":0.002720284,"about_ca_topic_score_gemma":0.0028375916,"teacher_disagreement_score":0.02643698,"about_ca_system_score_codex":0.00090525456,"about_ca_system_score_gemma":0.0011830222,"threshold_uncertainty_score":0.08844054},"labels":[],"label_agreement":null},{"id":"W2262700958","doi":"10.2139/ssrn.667903","title":"Wealth Shock and Stock Market Phenomena","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tyndale University College & Seminary","funders":"","keywords":"Stock market; Shock (circulatory); Business; Monetary economics; Financial system; Economics; Financial economics; History; Internal medicine; Medicine","score_opus":0.010130385430746814,"score_gpt":0.19518938076451656,"score_spread":0.18505899533376974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262700958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99326235,0.0007403388,0.0010408738,0.000873869,0.00003608321,0.000008839527,0.00017438162,0.000016593978,0.003846614],"genre_scores_gemma":[0.9990657,0.00026875446,0.0000518791,0.000031167187,0.00003971424,0.0000012473678,0.000048560996,0.0000020555185,0.0004910693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999347,0.000019888355,0.000009135675,0.000008704379,0.000012277307,0.000015312467],"domain_scores_gemma":[0.9970709,0.0016104425,0.00079654786,0.00012683787,0.00008833304,0.00030692175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059421,0.0001321105,0.00022228893,0.00077350985,0.00018952902,0.0012321298,0.00015220883,0.00077478756,0.0059126494],"category_scores_gemma":[0.006635884,0.00012352738,0.00013266834,0.00061760226,0.00041933422,0.0014834575,0.0005144165,0.0007945786,0.00029964006],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003368017,0.0008740663,0.79025036,0.00020696233,0.00032963822,0.0048980652,0.0008047145,0.016119784,0.0071551227,0.10215477,0.0050347853,0.06880368],"study_design_scores_gemma":[0.00014929326,0.0004469405,0.8049792,0.00005213708,0.000114871735,0.0011855689,0.0008655707,0.056791734,0.0011892536,0.13154788,0.002629389,0.000048063],"about_ca_topic_score_codex":0.0006548099,"about_ca_topic_score_gemma":0.00061562646,"teacher_disagreement_score":0.0059126494,"about_ca_system_score_codex":0.00021221978,"about_ca_system_score_gemma":0.00012577091,"threshold_uncertainty_score":0.019779801},"labels":[],"label_agreement":null},{"id":"W2263219294","doi":"10.2139/ssrn.2721068","title":"Sell in May and Go Away in the Equity Index Futures Markets","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Futures contract; Equity (law); Index (typography); Financial economics; Business; Economics; Political science; Law","score_opus":0.017226755942231428,"score_gpt":0.23037084265495053,"score_spread":0.21314408671271912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263219294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7984616,0.001078399,0.0061154813,0.005006174,0.0003373832,0.000053311436,0.00056134484,0.00014417403,0.18824214],"genre_scores_gemma":[0.97321904,0.00025969982,0.000736704,0.00030622652,0.00008848288,0.000008399322,0.00016111755,0.000028691084,0.02519148],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997125,0.00005197496,0.0000086975,0.000040190836,0.00008801412,0.00009845944],"domain_scores_gemma":[0.99927694,0.00017158175,0.00015556418,0.000062690066,0.000083431245,0.0002498596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012124936,0.00026926547,0.00051503,0.00038795976,0.0017529249,0.004982163,0.0005493538,0.0018197111,0.017429773],"category_scores_gemma":[0.0033906584,0.00029646602,0.00034603596,0.00041430743,0.0008174906,0.0053242776,0.0012170225,0.002046245,0.0022292412],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008158306,0.0011636217,0.089635365,0.00016743396,0.0002257277,0.002924262,0.0027167327,0.013591096,0.0077631758,0.6923601,0.05185696,0.12943728],"study_design_scores_gemma":[0.0007722602,0.001924506,0.115835406,0.0001845836,0.0004354665,0.0016982062,0.0126229795,0.0938206,0.013948546,0.6109592,0.14747825,0.00032003174],"about_ca_topic_score_codex":0.0040679947,"about_ca_topic_score_gemma":0.009843975,"teacher_disagreement_score":0.017429773,"about_ca_system_score_codex":0.0011436658,"about_ca_system_score_gemma":0.00071425363,"threshold_uncertainty_score":0.058308363},"labels":[],"label_agreement":null},{"id":"W2263946298","doi":"","title":"INVESTORS LIKE FIRMS THAT EXPENSE EMPLOYEE STOCK OPTIONS AND THEY DISLIKE FIRMS THAT FAIL TO EXPENSE","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Business; Agency cost; Monetary economics; Stock (firearms); Debt; Stock market; Finance; Economics; Corporate governance","score_opus":0.03300204427914414,"score_gpt":0.23008161966099966,"score_spread":0.19707957538185553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263946298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773886,0.00046594697,0.000198392,0.0012752042,0.00007950493,0.000021805696,0.00016443244,0.000013260479,0.020392854],"genre_scores_gemma":[0.9964234,0.00022640529,0.00011670462,0.00092124735,0.00008604709,0.000006222361,0.00019339891,0.000004136354,0.0020223886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993098,0.00016184407,0.0000559831,0.00006787755,0.00027056885,0.00013391944],"domain_scores_gemma":[0.9832677,0.0015146795,0.012436663,0.0003721553,0.00081395917,0.0015948194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015302708,0.00023916866,0.00028835947,0.0010737681,0.00064588955,0.0020253255,0.00014647639,0.00087813026,0.0061086025],"category_scores_gemma":[0.0064736363,0.00009995071,0.00030045016,0.0007104801,0.00082860846,0.0011686862,0.0007082985,0.0007419572,0.00081569783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009303856,0.00017995611,0.9528349,0.000080397425,0.00028513314,0.00026058083,0.0013705975,0.00034820967,0.0022410129,0.0022063819,0.0057040113,0.033558402],"study_design_scores_gemma":[0.000043460484,0.00031588625,0.98467004,0.000036832236,0.00006579639,0.00047099957,0.0043445462,0.00026845606,0.0009438719,0.0012532135,0.007546447,0.0000403932],"about_ca_topic_score_codex":0.0014717816,"about_ca_topic_score_gemma":0.0043769307,"teacher_disagreement_score":0.0061086025,"about_ca_system_score_codex":0.0005491158,"about_ca_system_score_gemma":0.00017344471,"threshold_uncertainty_score":0.020435333},"labels":[],"label_agreement":null},{"id":"W2264178452","doi":"10.2139/ssrn.906327","title":"Liquidity and Conditional Heteroscedasticity in Stock Returns","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Heteroscedasticity; Market liquidity; Stock (firearms); Economics; Econometrics; Financial economics; Business; Monetary economics; Geography","score_opus":0.014614145268938925,"score_gpt":0.20394357102916782,"score_spread":0.1893294257602289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264178452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95591205,0.0008350005,0.0399113,0.0011086874,0.00003830021,0.000016631007,0.00025847924,0.00016011702,0.0017594431],"genre_scores_gemma":[0.9981364,0.00018882465,0.0005766666,0.00004122302,0.000069466754,0.000006197489,0.000118405515,0.000013387202,0.00084933377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988311,0.00036827222,0.00012021367,0.00025103206,0.00019458287,0.00023477107],"domain_scores_gemma":[0.9315251,0.05201184,0.010843037,0.0028295584,0.0017475232,0.001042961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00752416,0.00040655915,0.0009087559,0.0011939303,0.00045233523,0.002692033,0.0009635519,0.001633582,0.0035640022],"category_scores_gemma":[0.044796754,0.0006988828,0.0009209658,0.001385325,0.0017852961,0.0046332483,0.0013589523,0.0021619238,0.00047243413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020148181,0.00043052153,0.45337975,0.00028999464,0.0012610123,0.003144287,0.0018425124,0.14517112,0.0118894335,0.33385846,0.00286499,0.043853205],"study_design_scores_gemma":[0.00018651868,0.00038171257,0.33083797,0.00006392561,0.00038927773,0.0007539218,0.0003758615,0.35994983,0.0036806075,0.30242187,0.00076293165,0.00019548352],"about_ca_topic_score_codex":0.0031658616,"about_ca_topic_score_gemma":0.00413303,"teacher_disagreement_score":0.00752416,"about_ca_system_score_codex":0.0009308632,"about_ca_system_score_gemma":0.00075489003,"threshold_uncertainty_score":0.03979206},"labels":[],"label_agreement":null},{"id":"W2264778123","doi":"","title":"Fully Flexible Views in Multivariate Normal Markets","year":2013,"lang":"en","type":"article","venue":"Cahiers de recherche","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Pooling; Multivariate statistics; Portfolio; Black–Litterman model; Econometrics; Multivariate normal distribution; Entropy (arrow of time); Computer science; Economics; Financial economics; Portfolio optimization; Artificial intelligence; Machine learning; Replicating portfolio","score_opus":0.1737227718452445,"score_gpt":0.30840064348285096,"score_spread":0.13467787163760644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264778123","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030917173,0.000076658056,0.9676257,0.00012904571,0.00001112515,0.000025599235,0.0000751009,0.00012471924,0.0010149321],"genre_scores_gemma":[0.7265995,0.00031485077,0.26807657,0.00015539522,0.00013787499,0.00014612236,0.00038366643,0.000173492,0.004012491],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99842286,0.00076441886,0.00007226265,0.00023598802,0.00034197132,0.00016253887],"domain_scores_gemma":[0.99694353,0.0015437088,0.00041455054,0.00056226534,0.00028871125,0.00024724664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045119408,0.0008961496,0.0011231713,0.0011517198,0.00053316535,0.0027129205,0.0012440017,0.0011284798,0.0034043575],"category_scores_gemma":[0.012059646,0.0006554961,0.0013774957,0.00074022304,0.00176022,0.0058762254,0.0034364117,0.0018625329,0.0004933625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024930196,0.00006865304,0.002083588,0.000063861386,0.00009579564,0.00037631986,0.0002873887,0.27034026,0.006426808,0.63862556,0.0014069632,0.079975486],"study_design_scores_gemma":[0.000014954299,0.000034160945,0.00041820933,0.0000058587466,0.000006846016,0.000043465716,0.000021998196,0.684063,0.0010365607,0.31379,0.00054520176,0.000019762845],"about_ca_topic_score_codex":0.0010881138,"about_ca_topic_score_gemma":0.0009146189,"teacher_disagreement_score":0.0045119408,"about_ca_system_score_codex":0.0007618825,"about_ca_system_score_gemma":0.0006821378,"threshold_uncertainty_score":0.023861706},"labels":[],"label_agreement":null},{"id":"W2265388295","doi":"10.2139/ssrn.2513688","title":"Once Lucky, Always Lucky? Institutional Trading in a Connected World","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Financial economics; Economics","score_opus":0.01734719436926787,"score_gpt":0.20397967473195389,"score_spread":0.186632480362686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265388295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85036963,0.0019483621,0.016759403,0.01986013,0.00018373657,0.00002472843,0.00013417249,0.00011495824,0.110604994],"genre_scores_gemma":[0.9975374,0.00022211592,0.0006548963,0.00020603246,0.000042705065,0.0000037616692,0.000015789232,0.000011636323,0.0013056789],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99940157,0.0002950794,0.000017206092,0.00011407395,0.000064064,0.00010797947],"domain_scores_gemma":[0.9960538,0.0016936747,0.00083439995,0.00036575887,0.00018338392,0.0008689789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00109377,0.00015148184,0.00033292978,0.00061702303,0.0014238905,0.0076381494,0.0006194028,0.0019929393,0.009484247],"category_scores_gemma":[0.009569156,0.00017658746,0.0001980512,0.0009154175,0.0035629866,0.012453236,0.0019817245,0.0013558484,0.0007385947],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004420579,0.00023953702,0.03667286,0.0001068475,0.00018092398,0.0019127168,0.004505128,0.007163497,0.0008913602,0.86968964,0.010486457,0.06770906],"study_design_scores_gemma":[0.00003781257,0.000043640164,0.007743752,0.000058499438,0.000035173165,0.000388584,0.0057389685,0.013022285,0.00021052439,0.96476704,0.007924181,0.000029565126],"about_ca_topic_score_codex":0.0013774033,"about_ca_topic_score_gemma":0.0017243302,"teacher_disagreement_score":0.009484247,"about_ca_system_score_codex":0.00060548884,"about_ca_system_score_gemma":0.00042013644,"threshold_uncertainty_score":0.03172803},"labels":[],"label_agreement":null},{"id":"W2265850759","doi":"","title":"Quarterly Patterns in Momentum and Reversal in the U.S. Stock Market: The Consequences of Tax-Loss Sales and Window Dressing","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Taxable income; Monetary economics; Economics; Momentum (technical analysis); Equity (law); Quarter (Canadian coin); Stock (firearms); Incentive; Financial economics; Business; Market economy; Accounting","score_opus":0.02356649331677586,"score_gpt":0.22250678481252978,"score_spread":0.19894029149575393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265850759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741423,0.00018294636,0.00009172796,0.00027568574,0.000014328279,0.0000060215816,0.0005071652,0.000012340327,0.0014954014],"genre_scores_gemma":[0.9985495,0.00012975548,0.000065709304,0.00006646775,0.000020139025,0.0000032096082,0.0007381923,0.000005427261,0.00042167722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980813,0.000026318867,0.000026927228,0.00003810204,0.00006137847,0.000039104118],"domain_scores_gemma":[0.99506974,0.0007942663,0.0026078173,0.00032027176,0.00063725247,0.0005706808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005750591,0.0001158305,0.00019660922,0.0013626426,0.00032397316,0.0010998956,0.00018834256,0.00039020582,0.0023719762],"category_scores_gemma":[0.0054820115,0.00013758166,0.00014343222,0.0015731578,0.00038291488,0.00068328547,0.00052974146,0.000543037,0.0005703334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003262687,0.00011546305,0.9798028,0.000014192591,0.00003736252,0.00013440562,0.00054087915,0.00022050436,0.0011288181,0.0005295197,0.0020891055,0.015060622],"study_design_scores_gemma":[0.0000033633016,0.000028108767,0.998767,0.000004345439,0.0000041292096,0.000035465066,0.00018409487,0.000244238,0.00009730119,0.00012532767,0.00050300144,0.0000036695285],"about_ca_topic_score_codex":0.007180593,"about_ca_topic_score_gemma":0.015799768,"teacher_disagreement_score":0.007180593,"about_ca_system_score_codex":0.0003213241,"about_ca_system_score_gemma":0.00023399967,"threshold_uncertainty_score":0.014277637},"labels":[],"label_agreement":null},{"id":"W2266277024","doi":"10.2139/ssrn.2001646","title":"Frequency of Consumption Adjustment and the Equity Premium","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Equity premium puzzle; Economics; Equity (law); Consumption (sociology); Econometrics; Financial economics; Monetary economics; Risk premium; Political science","score_opus":0.029081579904197654,"score_gpt":0.241124061141052,"score_spread":0.21204248123685435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266277024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974394,0.00016664535,0.00061396294,0.00017305766,0.0000087774515,0.0000029262596,0.00010097454,0.000010189502,0.001484035],"genre_scores_gemma":[0.99908066,0.00005255378,0.00007394348,0.000012375464,0.000021571155,9.386968e-7,0.00007621951,0.0000033737044,0.0006784375],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99984777,0.000041042662,0.00001429896,0.000034341258,0.000025151498,0.000037350957],"domain_scores_gemma":[0.9912805,0.0050743194,0.0023256787,0.00061677647,0.0002084228,0.00049425336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007736683,0.00009100099,0.00017017053,0.00065365824,0.00014846031,0.00091552,0.00019578407,0.0007114063,0.00691438],"category_scores_gemma":[0.009417931,0.00014211914,0.00019905952,0.00055788463,0.00027102072,0.0006012904,0.00033707474,0.00067468674,0.00040738666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007957888,0.00019788905,0.9680447,0.000020350188,0.00013361346,0.0002756871,0.00030877025,0.0022688329,0.0023425296,0.004429977,0.000621766,0.020559968],"study_design_scores_gemma":[0.0000148551035,0.00007803652,0.9893016,0.000006645952,0.00003776375,0.00030664305,0.00024659795,0.004517459,0.00025835086,0.004611881,0.000607608,0.000012572339],"about_ca_topic_score_codex":0.0017647375,"about_ca_topic_score_gemma":0.0017885495,"teacher_disagreement_score":0.00691438,"about_ca_system_score_codex":0.00021608618,"about_ca_system_score_gemma":0.000077583885,"threshold_uncertainty_score":0.023130894},"labels":[],"label_agreement":null},{"id":"W2267351229","doi":"10.2139/ssrn.2728689","title":"Portfolio Turnover Activity and Mutual Fund Performance","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; York University; Université de Sherbrooke","funders":"","keywords":"Mutual fund; Portfolio; Business; Target date fund; Fund administration; Actuarial science; Finance; Open-end fund; Investment fund; Corporate governance; Institutional investor","score_opus":0.019315696491441606,"score_gpt":0.20450492678823182,"score_spread":0.1851892302967902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267351229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99810314,0.00023555881,0.00013069813,0.00018348558,0.0000070458455,0.0000016087799,0.00010198281,0.000007232592,0.0012291666],"genre_scores_gemma":[0.99911004,0.00005160487,0.000023637429,0.00001216769,0.000017637876,9.3340043e-7,0.00011730857,0.0000016495817,0.0006650941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951446,0.00015491796,0.000056571687,0.000051139265,0.000101616,0.00012128358],"domain_scores_gemma":[0.9832425,0.005668498,0.0078431815,0.00048633543,0.0007040543,0.0020553898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017784474,0.0001580528,0.0001865099,0.00095858396,0.00025731194,0.0020667561,0.00029301,0.0011689952,0.00403886],"category_scores_gemma":[0.017945593,0.00013415764,0.0002830396,0.00076463475,0.00027938,0.0011747646,0.0007583014,0.00089886773,0.0009909057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041152127,0.00014866666,0.98812884,0.000012500739,0.00010706219,0.00012045926,0.00012317284,0.0011883723,0.00034320168,0.0008466037,0.00045618982,0.008113383],"study_design_scores_gemma":[0.000016926262,0.00023709601,0.9904204,0.000018107521,0.000075828444,0.00037565074,0.00032014816,0.0061169215,0.00026857122,0.0016355655,0.0005027764,0.000012078117],"about_ca_topic_score_codex":0.0013969371,"about_ca_topic_score_gemma":0.0020560238,"teacher_disagreement_score":0.00403886,"about_ca_system_score_codex":0.0005402394,"about_ca_system_score_gemma":0.00023443584,"threshold_uncertainty_score":0.01351136},"labels":[],"label_agreement":null},{"id":"W2268229787","doi":"10.2139/ssrn.2427822","title":"Reply to Amit Goyal's 'Comment on Size Anomalies in U.S. Bank Stock Returns'","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Stock (firearms); Economics; Financial economics; Financial system; Monetary economics; Geography","score_opus":0.01273611338585368,"score_gpt":0.20863339156465316,"score_spread":0.19589727817879948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268229787","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013708958,0.00075072056,0.000048636808,0.9843046,0.014282673,0.0000027045933,0.00012961336,0.000024397908,0.0003195695],"genre_scores_gemma":[0.0024245263,0.00053495285,0.00008897105,0.9733233,0.022501495,0.000016249704,0.000044619006,0.000030879957,0.001034951],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99394566,0.001161171,0.0008296314,0.0011416727,0.0022417412,0.0006800318],"domain_scores_gemma":[0.9625699,0.023352044,0.0033503412,0.001312677,0.0070873243,0.0023276424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009032905,0.0010136019,0.0016752733,0.0016157489,0.002971479,0.0046731583,0.005013078,0.052787647,0.008165824],"category_scores_gemma":[0.07951807,0.0011088067,0.0014738587,0.00258148,0.0059564398,0.005035354,0.0039741644,0.056850694,0.008808577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018868743,0.0000051499583,0.00019365276,0.00003048447,0.000009564275,0.00007283279,0.00009471704,0.000016069213,0.000037121346,0.000735484,0.99763143,0.0011546701],"study_design_scores_gemma":[0.00015296238,0.00007025846,0.0070011253,0.0008723604,0.00007346471,0.00091836316,0.0011948245,0.00047599294,0.00096833275,0.011770052,0.976319,0.00018332883],"about_ca_topic_score_codex":0.011028628,"about_ca_topic_score_gemma":0.011251848,"teacher_disagreement_score":0.052787647,"about_ca_system_score_codex":0.0033582647,"about_ca_system_score_gemma":0.004760904,"threshold_uncertainty_score":0.047771156},"labels":[],"label_agreement":null},{"id":"W2268256013","doi":"10.1080/21649502.2015.1165907","title":"Non-predictable stock market declines","year":2016,"lang":"en","type":"article","venue":"Quantitative Finance Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council","keywords":"Stock market; Ex-ante; Economics; Econometrics; Stock (firearms); Financial economics; Geography; Macroeconomics","score_opus":0.03699783748876943,"score_gpt":0.2428532210726206,"score_spread":0.2058553835838512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268256013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97729546,0.0006278239,0.009613412,0.00048538373,0.000049198043,0.000060406455,0.0017345588,0.00021049911,0.009923196],"genre_scores_gemma":[0.99763477,0.00016813463,0.0007276916,0.000051517367,0.000052658255,0.000019456038,0.000766669,0.00001354091,0.00056562555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990268,0.00016612797,0.00012091842,0.0002517711,0.00030432796,0.00013016498],"domain_scores_gemma":[0.9886071,0.004591359,0.0047213053,0.0009900797,0.0008250271,0.00026504803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002350561,0.00056683226,0.00052381365,0.0016360382,0.00031207592,0.001472367,0.00061149994,0.00053190446,0.001999534],"category_scores_gemma":[0.014027066,0.00019644546,0.00051012734,0.0014761911,0.0006751202,0.0014970653,0.0008198239,0.001116747,0.00045441705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001855419,0.00009036987,0.94506705,0.000097741635,0.00022223596,0.0002286204,0.00027253365,0.012470423,0.001086417,0.0041868235,0.0018238865,0.034268405],"study_design_scores_gemma":[0.000023911696,0.00018587576,0.93478924,0.00004608806,0.000076994686,0.00023619136,0.00019475246,0.05019817,0.0025732247,0.008336922,0.0033043805,0.00003422231],"about_ca_topic_score_codex":0.0036688189,"about_ca_topic_score_gemma":0.005021195,"teacher_disagreement_score":0.0036688189,"about_ca_system_score_codex":0.0005050065,"about_ca_system_score_gemma":0.00031276874,"threshold_uncertainty_score":0.012431085},"labels":[],"label_agreement":null},{"id":"W2269043755","doi":"10.2139/ssrn.2698831","title":"Equity Option Implied Probability of Default and Equity Recovery Rate","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Equity (law); Equity capital markets; Business; Financial economics; Equity risk; Probability of default; Economics; Monetary economics; Actuarial science; Finance; Private equity; Credit risk","score_opus":0.06147595590238419,"score_gpt":0.2693784245162082,"score_spread":0.207902468613824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269043755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96138877,0.00022634093,0.0324017,0.0006662574,0.000029545812,0.000024617779,0.0010237759,0.00023183443,0.0040072417],"genre_scores_gemma":[0.99687946,0.000058524533,0.0010818953,0.000017019433,0.000017832317,0.000006376386,0.00025604139,0.00000986423,0.0016729563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954164,0.00012705204,0.000037372796,0.00011641974,0.00007634571,0.00010106902],"domain_scores_gemma":[0.97730184,0.017764825,0.002299859,0.001042993,0.00088330463,0.00070705015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030275702,0.0002763726,0.0006254969,0.0007696468,0.00020040193,0.001606115,0.0009485783,0.0016321975,0.015297072],"category_scores_gemma":[0.021329893,0.00026972438,0.0005503372,0.00061856426,0.0006051049,0.0021332765,0.000539328,0.0016377011,0.00076555373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023470914,0.00047142632,0.202666,0.00033103352,0.00033530412,0.002520862,0.00063631905,0.5045342,0.0106953345,0.22859477,0.0059767105,0.04089093],"study_design_scores_gemma":[0.0000535097,0.00017071367,0.06441072,0.000036683643,0.000117079304,0.00087195047,0.00018002315,0.85798997,0.0026072357,0.07292851,0.00054976816,0.000083824554],"about_ca_topic_score_codex":0.0011224176,"about_ca_topic_score_gemma":0.0010505434,"teacher_disagreement_score":0.015297072,"about_ca_system_score_codex":0.0004835067,"about_ca_system_score_gemma":0.00033855718,"threshold_uncertainty_score":0.051173866},"labels":[],"label_agreement":null},{"id":"W2269833820","doi":"10.3390/jrfm11040059","title":"A Test of Market Efficiency When Short Selling Is Prohibited: A Case of the Dhaka Stock Exchange","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Sydney","keywords":"Stock exchange; Econometrics; Stock (firearms); Market efficiency; Economics; Stock market; Financial economics; Business; Engineering; Finance; Geography","score_opus":0.018500742486663335,"score_gpt":0.20999905305157152,"score_spread":0.19149831056490818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269833820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998168,0.000056523175,0.00063611474,0.00013056646,0.0000025153595,0.000007381899,0.0000885228,0.0000057516067,0.0009045097],"genre_scores_gemma":[0.99914896,0.000024280818,0.00040470235,0.000021174614,0.000009194689,0.000005269537,0.00021760257,0.0000050327317,0.00016375798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99720544,0.0012822314,0.0002906643,0.00049104105,0.00042557262,0.00030502],"domain_scores_gemma":[0.91111696,0.069861315,0.009576104,0.005776741,0.0020620078,0.0016068722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056165946,0.00028323426,0.00074735924,0.0016960205,0.0012134868,0.0019619733,0.0011606385,0.0016003888,0.0018425339],"category_scores_gemma":[0.04037382,0.0002572251,0.00070232834,0.0015449919,0.0027775813,0.0022887103,0.0012228575,0.001657553,0.00019541943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014931295,0.00050746865,0.9153483,0.00009919895,0.0005566279,0.004689222,0.0020776838,0.027672758,0.0059153,0.022705741,0.0015105074,0.017423965],"study_design_scores_gemma":[0.00027551095,0.000543143,0.7726481,0.000059447088,0.00032772025,0.0024254667,0.002992007,0.19773197,0.004542414,0.015797213,0.0025005436,0.00015648785],"about_ca_topic_score_codex":0.014712507,"about_ca_topic_score_gemma":0.0100347465,"teacher_disagreement_score":0.014712507,"about_ca_system_score_codex":0.0008333756,"about_ca_system_score_gemma":0.0005474597,"threshold_uncertainty_score":0.029703736},"labels":[],"label_agreement":null},{"id":"W2269875143","doi":"10.2139/ssrn.1101039","title":"The Effect of Demand on Stock Prices: Evidence from the S&amp;P Index Float Adjustment","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Economics; Float (project management); Stock (firearms); Index (typography); Monetary economics; Stock market index; Financial economics; Stock market; Engineering; Geography","score_opus":0.027327879607917542,"score_gpt":0.2273884425932135,"score_spread":0.20006056298529595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269875143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992833,0.0003038077,0.00006855522,0.0007079397,0.0000140495995,0.000007469482,0.0006726969,0.000007914213,0.005384581],"genre_scores_gemma":[0.9978794,0.0003727675,0.00002781121,0.000089044515,0.000039612532,0.0000031374022,0.0006094997,0.00000609763,0.00097262434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996824,0.00008540401,0.000034334924,0.00005668046,0.000089919115,0.00005121473],"domain_scores_gemma":[0.98465586,0.0075870445,0.0048065097,0.0009379848,0.0009366328,0.0010761345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006692494,0.00019977464,0.0002861728,0.00075128995,0.0003933923,0.0013390438,0.0004648706,0.0010915535,0.007743825],"category_scores_gemma":[0.01159063,0.00023165395,0.00039551107,0.00087158,0.00087186735,0.00097583147,0.0005773429,0.0008607473,0.0014696403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002515472,0.00069952063,0.97168636,0.00007317429,0.00020575579,0.00025627733,0.000436178,0.0007244863,0.00301539,0.001336291,0.0021746398,0.016876463],"study_design_scores_gemma":[0.000046135734,0.00014029129,0.99751246,0.0000056789368,0.00004316109,0.000034164208,0.0002151485,0.000406719,0.00035143338,0.00037514511,0.0008620396,0.000007777406],"about_ca_topic_score_codex":0.016067978,"about_ca_topic_score_gemma":0.0144295655,"teacher_disagreement_score":0.016067978,"about_ca_system_score_codex":0.00057696796,"about_ca_system_score_gemma":0.00025627777,"threshold_uncertainty_score":0.031948924},"labels":[],"label_agreement":null},{"id":"W2270342806","doi":"","title":"Pre-Trade Transparency","year":2001,"lang":"en","type":"article","venue":"Istanbul Stock Exchange Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Market liquidity; Dark liquidity; Stock exchange; Market maker; Economics; Algorithmic trading; Public disclosure; Transaction cost; Stock (firearms); Business; Order (exchange); Financial economics; Monetary economics; Stock market; Microeconomics; High-frequency trading; Computer science; Finance; Computer security","score_opus":0.06266088967483555,"score_gpt":0.2661578901169885,"score_spread":0.20349700044215294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2270342806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9255192,0.001644255,0.013935454,0.0024190117,0.00011288035,0.00014020134,0.0011330514,0.00020797901,0.054887943],"genre_scores_gemma":[0.9959913,0.00016967198,0.0007286775,0.000142863,0.00006325968,0.000023450433,0.00019589618,0.000013441341,0.002671462],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965581,0.00086308544,0.00036331624,0.00045581648,0.0011594872,0.0006002229],"domain_scores_gemma":[0.9430069,0.024514144,0.02238388,0.007207482,0.0022181806,0.00066943746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003454648,0.00022911819,0.0005916195,0.00045648427,0.0006649975,0.0038269532,0.00040618936,0.00078484055,0.01440931],"category_scores_gemma":[0.029457327,0.00028689404,0.0004566845,0.00063860416,0.0010165912,0.003063025,0.000881591,0.0016075424,0.0010714638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006590598,0.0014639999,0.4649185,0.0016103983,0.0007240641,0.0023327144,0.0038207711,0.017406946,0.038562465,0.17608161,0.014866996,0.27162093],"study_design_scores_gemma":[0.0004428343,0.002361007,0.7457986,0.00024795547,0.00033003252,0.0011341001,0.0022659507,0.015835086,0.029205466,0.15543999,0.04680526,0.0001337937],"about_ca_topic_score_codex":0.0017216236,"about_ca_topic_score_gemma":0.0018418806,"teacher_disagreement_score":0.01440931,"about_ca_system_score_codex":0.0010339997,"about_ca_system_score_gemma":0.001148517,"threshold_uncertainty_score":0.048203945},"labels":[],"label_agreement":null},{"id":"W2270419642","doi":"","title":"Fund Flows and Performance - A Study of Canadian Equity Funds","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Windsor","funders":"","keywords":"Open-end fund; Closed-end fund; Fund of funds; Income fund; Fund administration; Business; Sovereign wealth fund; Mutual fund; Target date fund; Feeder fund; Equity (law); Finance; Institutional investor; Manager of managers fund; Performance fee; Monetary economics; Incentive; Economics; Microeconomics; Corporate governance","score_opus":0.04113563440944483,"score_gpt":0.23466543873439497,"score_spread":0.19352980432495015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2270419642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99597687,0.000403802,0.000057397065,0.00021206628,0.0000034140173,0.00002306171,0.000764264,0.000004610508,0.002554579],"genre_scores_gemma":[0.99727565,0.00037077823,0.000119678414,0.000033190005,0.0000068344903,0.000011884706,0.0006592591,0.0000034909226,0.0015193769],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983387,0.00016598473,0.000057541514,0.00013365796,0.0006252649,0.0006789103],"domain_scores_gemma":[0.99331653,0.0011395386,0.0021332165,0.00024059368,0.0017442249,0.0014258871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016253446,0.00044828228,0.00039957347,0.004291261,0.0036113055,0.0025618076,0.0009525932,0.0006733682,0.0023130435],"category_scores_gemma":[0.011573545,0.00023732576,0.00051637465,0.0072574853,0.0008848685,0.0007233835,0.0012008265,0.000678743,0.0002478087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017489254,0.0001593896,0.972853,0.000033230277,0.00006640762,0.00027442313,0.005461008,0.00066843146,0.00025737856,0.0022151964,0.0013958397,0.016440716],"study_design_scores_gemma":[0.000008028997,0.000046009907,0.9931585,0.000015350148,0.000020899924,0.000083797575,0.0025072328,0.0008628746,0.00011430648,0.00016185218,0.0029956254,0.000025575397],"about_ca_topic_score_codex":0.9780577,"about_ca_topic_score_gemma":0.9792828,"teacher_disagreement_score":0.03376333,"about_ca_system_score_codex":0.03376333,"about_ca_system_score_gemma":0.01891356,"threshold_uncertainty_score":0.24497128},"labels":[],"label_agreement":null},{"id":"W2272002226","doi":"10.34989/sdp-2015-16","title":"Reputational Risk Management in Central Banks","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Reputation; Portrait; Risk management; Political science; Business; Economics; Humanities; Welfare economics; Finance; History; Art; Law; Art history","score_opus":0.02049968519933528,"score_gpt":0.21681250445264813,"score_spread":0.19631281925331284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2272002226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56872594,0.013854115,0.23492743,0.035562653,0.000530591,0.00016915756,0.00018818109,0.0006352118,0.14540668],"genre_scores_gemma":[0.993141,0.00061256305,0.0031575619,0.0001701964,0.00008965813,0.000016196831,0.000008835287,0.000010558824,0.0027934643],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9944865,0.0029331585,0.00026686012,0.00066816877,0.00091306854,0.00073225563],"domain_scores_gemma":[0.9798834,0.007156321,0.0062387655,0.0015226969,0.003476185,0.0017226515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008922568,0.00029593677,0.00065933936,0.00085868745,0.0020065478,0.008026985,0.0009474173,0.0027982513,0.0032528916],"category_scores_gemma":[0.026985666,0.00042641393,0.0003754667,0.0012668945,0.0032245282,0.0045474907,0.0029352433,0.002237275,0.0006251551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028533925,0.00010131579,0.013103824,0.0001319703,0.00011323426,0.0007346805,0.003031967,0.047409557,0.001397328,0.8633038,0.0105899535,0.05979713],"study_design_scores_gemma":[0.0000859384,0.00010707822,0.007891218,0.00018029867,0.00006173521,0.00036336647,0.0013269742,0.0906672,0.0010516935,0.8826599,0.015506089,0.00009853657],"about_ca_topic_score_codex":0.004840044,"about_ca_topic_score_gemma":0.0021914751,"teacher_disagreement_score":0.008922568,"about_ca_system_score_codex":0.004234818,"about_ca_system_score_gemma":0.0036837887,"threshold_uncertainty_score":0.047187567},"labels":[],"label_agreement":null},{"id":"W2272163677","doi":"","title":"Empirical Evidence on Feedback Trading in Mature and Emerging Stock Markets","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Emerging markets; Stock (firearms); Capital market; Empirical evidence; Financial economics; Autoregressive conditional heteroskedasticity; Monetary economics; Economics; Algorithmic trading; Empirical research; Alternative trading system; Trading strategy; Business; Volatility (finance); Finance","score_opus":0.1013955774615666,"score_gpt":0.3280300279087078,"score_spread":0.22663445044714117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2272163677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960127,0.00046042196,0.0013960338,0.0001206363,0.000005342628,0.0000046068985,0.00005254356,0.0000127992225,0.0019349968],"genre_scores_gemma":[0.9994295,0.0001487296,0.00021101255,0.000019005442,0.000016676227,0.0000015866889,0.000064147775,0.0000015495193,0.0001077161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995902,0.000086311586,0.000051488354,0.000074161755,0.00015433526,0.000043537617],"domain_scores_gemma":[0.96515256,0.020823468,0.009357924,0.0014365307,0.0018681306,0.0013614172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016870719,0.00019806293,0.00030855392,0.0007911616,0.00021937554,0.0009171046,0.00044283015,0.00056884775,0.0025626754],"category_scores_gemma":[0.020440904,0.00014852545,0.00016256627,0.00066912855,0.00084591337,0.0017766834,0.0005992274,0.0005684559,0.00022296437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019760095,0.00048801381,0.87410176,0.00032873853,0.00019705173,0.0010697563,0.00213402,0.0044446434,0.011748433,0.03172847,0.0009904017,0.070792615],"study_design_scores_gemma":[0.00014021025,0.00055185694,0.93850017,0.00007072491,0.000087850014,0.0009562416,0.0009932161,0.019537102,0.0024351731,0.034687,0.0020011063,0.000039270675],"about_ca_topic_score_codex":0.00044771426,"about_ca_topic_score_gemma":0.00048708043,"teacher_disagreement_score":0.0025626754,"about_ca_system_score_codex":0.00014362684,"about_ca_system_score_gemma":0.00013900094,"threshold_uncertainty_score":0.00892216},"labels":[],"label_agreement":null},{"id":"W2272280271","doi":"10.2139/ssrn.1908007","title":"Momentum, Book-to-Market Equity and the 2003 Dividend Tax Cut","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Equity (law); Dividend; Economics; Financial economics; Monetary economics; Business; Finance; Political science; Law","score_opus":0.027710702248152926,"score_gpt":0.21870981945810866,"score_spread":0.19099911720995574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2272280271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96186984,0.0017735903,0.0009323285,0.007900018,0.00019317519,0.000027018512,0.0010633232,0.0000492721,0.026191488],"genre_scores_gemma":[0.99460286,0.0003984349,0.000083669074,0.0002127677,0.000079594094,0.000008442319,0.00027626142,0.000011822484,0.004326119],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997118,0.00004007102,0.000020034773,0.00003947898,0.00007504308,0.0001135123],"domain_scores_gemma":[0.9925734,0.0032370903,0.0027057375,0.00018403349,0.00048550495,0.0008142247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017208428,0.00025890238,0.00053763366,0.00080504885,0.0011156959,0.00516034,0.0005962961,0.0024364903,0.009791335],"category_scores_gemma":[0.013079646,0.00021622797,0.00031412215,0.0011071017,0.00093615527,0.002741845,0.00072342454,0.0031295144,0.001012618],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006169461,0.0024504478,0.60649663,0.00014238003,0.00015419726,0.0013316617,0.0018102437,0.026855877,0.001607117,0.22225031,0.045768615,0.08496294],"study_design_scores_gemma":[0.00034450568,0.0005265297,0.7401558,0.00015444995,0.00028542307,0.00047784508,0.004032366,0.0357242,0.0021989567,0.18590336,0.030078517,0.00011804766],"about_ca_topic_score_codex":0.04311267,"about_ca_topic_score_gemma":0.06121876,"teacher_disagreement_score":0.04311267,"about_ca_system_score_codex":0.003988361,"about_ca_system_score_gemma":0.0030975465,"threshold_uncertainty_score":0.08572346},"labels":[],"label_agreement":null},{"id":"W2272989938","doi":"10.13140/rg.2.2.16190.54082","title":"Cross-sectional Dependence in Idiosyncratic Volatility","year":2019,"lang":"en","type":"article","venue":"Cahier de recherche","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Estimator; Econometrics; Volatility (finance); Systematic risk; Realized variance; Economics; Residual; Forward volatility; Statistics; Implied volatility; Mathematics","score_opus":0.18337845208568257,"score_gpt":0.33195357366615946,"score_spread":0.1485751215804769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2272989938","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3829151,0.0011886447,0.6081202,0.00048178688,0.000040476858,0.000085752785,0.0012489558,0.00025570285,0.005663337],"genre_scores_gemma":[0.97730553,0.00047298288,0.019622264,0.000093236275,0.0000759796,0.00006267424,0.00089028507,0.00003752972,0.0014396255],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978643,0.0007914118,0.00017532178,0.00058963406,0.00041378938,0.00016550825],"domain_scores_gemma":[0.9778431,0.013766525,0.0036268302,0.0036030822,0.00092059845,0.00023981371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005907408,0.00038299992,0.0007195292,0.0024246916,0.00031531334,0.0014471331,0.000988564,0.0008542487,0.0025801824],"category_scores_gemma":[0.026258793,0.0005425763,0.0009890868,0.0019531436,0.0007992956,0.0021837074,0.0012810066,0.0011379356,0.0003139913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118890486,0.00022988296,0.4812855,0.0002325719,0.001574799,0.000911206,0.0008748174,0.15382299,0.0072589573,0.2574301,0.0018027569,0.094457515],"study_design_scores_gemma":[0.000019018964,0.00014650292,0.3547582,0.000106584055,0.00021139637,0.000949108,0.00019356761,0.4778245,0.0023335044,0.15875459,0.004587832,0.0001151285],"about_ca_topic_score_codex":0.0022770988,"about_ca_topic_score_gemma":0.0017098628,"teacher_disagreement_score":0.005907408,"about_ca_system_score_codex":0.0006098819,"about_ca_system_score_gemma":0.00034231678,"threshold_uncertainty_score":0.031241715},"labels":[],"label_agreement":null},{"id":"W2273218928","doi":"10.2139/ssrn.2661995","title":"Tests of Investor Learning Models Using Earnings Innovations and Implied Volatilities","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Earnings; Econometrics; Financial economics; Economics; Business; Actuarial science; Accounting","score_opus":0.07099809662634748,"score_gpt":0.23823282553805636,"score_spread":0.16723472891170887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273218928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98548824,0.00011809379,0.012819792,0.000255159,0.000026268743,0.000019282217,0.00023010466,0.00009948716,0.000943591],"genre_scores_gemma":[0.9979954,0.00007152628,0.0011495106,0.000018689785,0.000020802296,0.000010711281,0.00033866448,0.000019014693,0.00037565475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963295,0.002035232,0.00028283935,0.0006429099,0.00032804307,0.00038151996],"domain_scores_gemma":[0.7509291,0.23097314,0.009710494,0.0050702523,0.0015716626,0.001745332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017820934,0.0013336696,0.0011165295,0.0011437316,0.00050760945,0.0026676774,0.002031829,0.002056201,0.0046382784],"category_scores_gemma":[0.085311115,0.00057198835,0.0017096538,0.00091938284,0.0014543356,0.004745195,0.0016484484,0.0022158267,0.0005916015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005452666,0.0020594725,0.22845136,0.00024688736,0.0020578569,0.0003787009,0.0006114354,0.6714985,0.0016850705,0.038050868,0.0017993439,0.047707867],"study_design_scores_gemma":[0.00028164568,0.00061314827,0.022681076,0.000020467944,0.00020192565,0.000060155024,0.00013768951,0.962212,0.0012076182,0.012377057,0.00016742012,0.00003974389],"about_ca_topic_score_codex":0.0037188649,"about_ca_topic_score_gemma":0.0017146694,"teacher_disagreement_score":0.017820934,"about_ca_system_score_codex":0.00093318446,"about_ca_system_score_gemma":0.0012193948,"threshold_uncertainty_score":0.09424728},"labels":[],"label_agreement":null},{"id":"W2273293315","doi":"","title":"Consumption growth and time-varying expected stock returns","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Stock (firearms); Predictive power; Econometrics; Consumption (sociology); Quarter (Canadian coin); Dividend; Business cycle; Growth rate; Investment (military); Financial economics; Monetary economics; Mathematics; Finance; Macroeconomics; Engineering","score_opus":0.059390806682292394,"score_gpt":0.2790529164821572,"score_spread":0.21966210979986478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273293315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941148,0.00025826567,0.0030571427,0.00034774267,0.000011506855,0.000005323505,0.0006717173,0.000050181814,0.0014833349],"genre_scores_gemma":[0.9981173,0.00015792227,0.000292493,0.000014305625,0.000012396295,0.0000041675917,0.0006326501,0.000008037029,0.0007607714],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997583,0.00007261107,0.000017173637,0.000068360794,0.000037608064,0.000045930512],"domain_scores_gemma":[0.988128,0.0065225456,0.003367386,0.000851843,0.0005526134,0.0005776735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013577776,0.00037777078,0.00030797435,0.00080060866,0.00011880938,0.0010280355,0.00034238596,0.00063871825,0.0027099214],"category_scores_gemma":[0.016114453,0.00023762758,0.00029910402,0.0010156947,0.0004413219,0.0012451457,0.00051402533,0.000866314,0.0005433601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007624028,0.000121038036,0.9099893,0.0000304131,0.0002576944,0.00034315293,0.00017586729,0.057655815,0.001257557,0.008146455,0.0011540579,0.020106299],"study_design_scores_gemma":[0.000027981148,0.00012580889,0.7795608,0.000021041706,0.00006129202,0.00022796869,0.00016424667,0.20353103,0.0008392036,0.014501598,0.0009030656,0.000035972942],"about_ca_topic_score_codex":0.0056067654,"about_ca_topic_score_gemma":0.0037949476,"teacher_disagreement_score":0.0056067654,"about_ca_system_score_codex":0.00051123305,"about_ca_system_score_gemma":0.00023296275,"threshold_uncertainty_score":0.011148274},"labels":[],"label_agreement":null},{"id":"W2274588467","doi":"10.14288/1.0097609","title":"Testing a mean reversion hypothesis on the Toronto stock exchange","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mean reversion; Stock (firearms); Reversion; Econometrics; Economics; Geography; Chemistry","score_opus":0.031215462125094465,"score_gpt":0.16569000389178862,"score_spread":0.13447454176669416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2274588467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977849,0.000032300162,0.00036867426,0.00014501132,0.0000051251436,0.000007645404,0.00015458325,0.000008677105,0.00149315],"genre_scores_gemma":[0.9992488,0.000023685121,0.00014044746,0.000019222913,0.000005877644,0.0000037783027,0.00035556685,0.0000020041803,0.00020059814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975031,0.001121504,0.00013418887,0.0004795449,0.000501508,0.0002602823],"domain_scores_gemma":[0.96003234,0.028984154,0.005162052,0.0031289908,0.0017098117,0.000982653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054831915,0.00027014388,0.0003575781,0.00075187936,0.00042289612,0.0012602624,0.0007475413,0.0006624893,0.003373493],"category_scores_gemma":[0.04068344,0.0001832355,0.00050738454,0.00067882804,0.0013683015,0.000837289,0.00053426164,0.0009018299,0.0003114087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001611368,0.00021692933,0.93970966,0.000056378132,0.00071656937,0.00077069434,0.0013996784,0.012443348,0.0022737803,0.012924827,0.0018156343,0.026060982],"study_design_scores_gemma":[0.0001428854,0.0005776736,0.9297201,0.000024724706,0.00016059019,0.0001996674,0.0010837129,0.058542207,0.0022818013,0.005712989,0.0014998481,0.00005377092],"about_ca_topic_score_codex":0.04983371,"about_ca_topic_score_gemma":0.030390615,"teacher_disagreement_score":0.9501663,"about_ca_system_score_codex":0.0016912887,"about_ca_system_score_gemma":0.0014756935,"threshold_uncertainty_score":0.0990873},"labels":[],"label_agreement":null},{"id":"W2279581172","doi":"","title":"On the Relationship between Economic Freedom and Equity Returns in the Emerging Markets","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Economic freedom; Equity (law); Index of Economic Freedom; Equity capital markets; Economics; Equity risk; Business cycle; Index (typography); Equity ratio; Financial economics; Control (management); Property rights; Monetary economics; Business; Finance; Private equity; Macroeconomics; Market economy; Political science; Microeconomics","score_opus":0.059890253842088674,"score_gpt":0.25402876568091076,"score_spread":0.19413851183882208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279581172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99005544,0.0015931581,0.0010832147,0.00093985075,0.000017901162,0.000010432001,0.00015669558,0.0000067009883,0.0061365715],"genre_scores_gemma":[0.99862206,0.00067903206,0.00008292014,0.000038204988,0.00004430791,0.0000025768072,0.00011232841,0.000002193291,0.0004164396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948895,0.00020647628,0.000038101938,0.000069889444,0.000086023545,0.00011055158],"domain_scores_gemma":[0.96090394,0.025539069,0.0102333585,0.00072720036,0.0010179157,0.0015786061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027599537,0.0002790438,0.00043645294,0.0015340165,0.00037445276,0.001618552,0.00028796523,0.00062220264,0.0040171174],"category_scores_gemma":[0.012437131,0.00011385716,0.0004940072,0.0017395231,0.0013323347,0.0017259324,0.00087864755,0.0016336062,0.00046180762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003670507,0.0002237586,0.9577037,0.00006581026,0.00028210765,0.0005727794,0.000324222,0.005335364,0.0005316885,0.01694723,0.00060014,0.017046165],"study_design_scores_gemma":[0.00001824135,0.00017035878,0.97887254,0.000039378247,0.00010446299,0.00010969219,0.0005107075,0.007972959,0.0003591743,0.010742063,0.0010743841,0.00002597407],"about_ca_topic_score_codex":0.0052266517,"about_ca_topic_score_gemma":0.004353783,"teacher_disagreement_score":0.0052266517,"about_ca_system_score_codex":0.0005705305,"about_ca_system_score_gemma":0.00043399606,"threshold_uncertainty_score":0.014596164},"labels":[],"label_agreement":null},{"id":"W2279874867","doi":"","title":"The Effect of Real Return Bond on Asset Allocation","year":2011,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bond; Asset allocation; Business; Economics; Finance; Financial economics; Monetary economics; Actuarial science; Portfolio","score_opus":0.020507765177839025,"score_gpt":0.18897567607797536,"score_spread":0.16846791090013633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279874867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99212193,0.00048051402,0.00019921018,0.00048236136,0.000013934254,0.0000052021696,0.00007583119,0.0000067538167,0.0066142366],"genre_scores_gemma":[0.9985274,0.0001673051,0.000057167068,0.000035204197,0.0000066134803,0.0000014519245,0.000034395678,0.0000020068896,0.001168379],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994174,0.0002522373,0.000024638377,0.00006895929,0.00007901239,0.00015776735],"domain_scores_gemma":[0.99254745,0.0037655425,0.0014758471,0.00021278855,0.0006505433,0.0013478696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013931368,0.00016688637,0.00021855046,0.00022332586,0.0003295012,0.0013788976,0.00037473807,0.0007692156,0.0043435902],"category_scores_gemma":[0.010371122,0.00010398344,0.00023642373,0.00027858635,0.00046141865,0.0006304342,0.0003723034,0.0010667361,0.00042528697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004753072,0.0011396791,0.89957875,0.00010819999,0.00031411645,0.0011619312,0.00065828284,0.015431502,0.0065119625,0.013882499,0.0029372298,0.053522654],"study_design_scores_gemma":[0.00012402468,0.00086451956,0.96881145,0.00002962687,0.00027148295,0.00019537704,0.0012600801,0.016857088,0.0019674571,0.006453616,0.003124538,0.000040730538],"about_ca_topic_score_codex":0.048411306,"about_ca_topic_score_gemma":0.05449426,"teacher_disagreement_score":0.048411306,"about_ca_system_score_codex":0.0018132705,"about_ca_system_score_gemma":0.0011705428,"threshold_uncertainty_score":0.09625906},"labels":[],"label_agreement":null},{"id":"W2279952445","doi":"10.5539/ijef.v8n3p225","title":"Dual Perspective of Inflation toward Market Development","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Capital market; Inflation (cosmology); Monetary economics; Sample (material); Proxy (statistics); Financial economics; Finance","score_opus":0.025946786432561757,"score_gpt":0.2219642307834331,"score_spread":0.19601744435087134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279952445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78467256,0.0064377994,0.010398632,0.013884683,0.00021538268,0.000059587,0.00041204743,0.00008917709,0.18383005],"genre_scores_gemma":[0.99466974,0.0012521999,0.00067017274,0.00019806527,0.00011774204,0.000009030269,0.000044281966,0.0000065764925,0.003032174],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993443,0.0002070531,0.00003275603,0.00011089912,0.0001731588,0.0001317177],"domain_scores_gemma":[0.99634284,0.0010574269,0.0013209501,0.00016532998,0.0006482448,0.00046509394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008206853,0.0002545643,0.00016112076,0.0014264407,0.0003441126,0.0028969008,0.00022002867,0.00067798235,0.0055560283],"category_scores_gemma":[0.0046265176,0.00014019215,0.00024085886,0.0009835154,0.0011903141,0.0016998767,0.0009406839,0.0010490138,0.0005983727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003270174,0.00024921863,0.66921544,0.00025660693,0.00010127598,0.0014867112,0.005068508,0.0014064003,0.0033137628,0.22070923,0.0036756892,0.09419011],"study_design_scores_gemma":[0.000032229575,0.00027970222,0.85667247,0.0003072089,0.000120479024,0.0015534746,0.0056655616,0.005302481,0.002135555,0.099940725,0.027923364,0.00006666415],"about_ca_topic_score_codex":0.0012102125,"about_ca_topic_score_gemma":0.0011249969,"teacher_disagreement_score":0.0055560283,"about_ca_system_score_codex":0.00078449026,"about_ca_system_score_gemma":0.00062212854,"threshold_uncertainty_score":0.018586755},"labels":[],"label_agreement":null},{"id":"W2280828304","doi":"10.2139/ssrn.2702822","title":"A Closer Look at the Value Premium: Evidence from a Multiples-Based Decomposition","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Multiple; Value (mathematics); Decomposition; Econometrics; Economics; Mathematics; Statistics; Arithmetic; Chemistry","score_opus":0.03850050269485628,"score_gpt":0.2502343767571332,"score_spread":0.21173387406227695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280828304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83511096,0.0046726167,0.113788836,0.007942304,0.0005311733,0.00009701165,0.0023517672,0.0003301441,0.035175167],"genre_scores_gemma":[0.9842858,0.0006165235,0.008682344,0.00035915978,0.00035624212,0.000013247846,0.00095917535,0.00012041032,0.004607178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.997823,0.0006835523,0.00013256144,0.0005329614,0.00059363816,0.00023436575],"domain_scores_gemma":[0.97165966,0.018152058,0.00294034,0.0039130924,0.0022296926,0.0011050865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068777297,0.0008597403,0.0015768771,0.0029881245,0.0007072449,0.004301599,0.0016466916,0.0011299547,0.027485354],"category_scores_gemma":[0.029888164,0.00028488468,0.0023942639,0.0027209634,0.0012509902,0.004554695,0.0019561204,0.0036726277,0.0015177636],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034251108,0.0010281248,0.19839717,0.0005813747,0.002601415,0.0004887194,0.0017826024,0.017320825,0.007533401,0.4716257,0.024560452,0.27065516],"study_design_scores_gemma":[0.0005417996,0.0006271029,0.19507316,0.0002790552,0.0012977401,0.00038748042,0.0016878351,0.13331334,0.0025640843,0.65208113,0.01200266,0.00014461532],"about_ca_topic_score_codex":0.0060037435,"about_ca_topic_score_gemma":0.003565337,"teacher_disagreement_score":0.027485354,"about_ca_system_score_codex":0.0008795827,"about_ca_system_score_gemma":0.0006836923,"threshold_uncertainty_score":0.091947615},"labels":[],"label_agreement":null},{"id":"W2281047485","doi":"10.2139/ssrn.2398320","title":"Learning from Trading with Ambiguous Information","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Convergence (economics); Parametric statistics; Process (computing); Computer science; Empirical research; Econometrics; Set (abstract data type); Empirical evidence; Term (time); Point (geometry); Artificial intelligence; Economics; Mathematics; Statistics; Epistemology; Macroeconomics","score_opus":0.009041881603231267,"score_gpt":0.1686009283651478,"score_spread":0.15955904676191654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281047485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7260727,0.0011328467,0.2607107,0.0037604943,0.00022727504,0.00006587177,0.00039659877,0.00050955504,0.007123932],"genre_scores_gemma":[0.99175656,0.00028072883,0.0057022567,0.00016583581,0.00012463682,0.00001753983,0.00019890032,0.00003040668,0.0017231603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991204,0.00037950798,0.000066999244,0.00020363553,0.00012925126,0.00010014936],"domain_scores_gemma":[0.9570442,0.037897922,0.0018431117,0.0020270594,0.0005772523,0.0006104586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033490972,0.0007267296,0.0015043383,0.0008385178,0.0004200173,0.0024755192,0.0010961551,0.0024702263,0.0042056614],"category_scores_gemma":[0.038518094,0.00076251075,0.00073298236,0.000680579,0.0015096781,0.0063374923,0.0016999446,0.0030092087,0.00049547123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032153423,0.0009343528,0.044012446,0.00054148847,0.00059696095,0.0020745976,0.00093886623,0.54352784,0.0051373485,0.16117026,0.007915284,0.22993524],"study_design_scores_gemma":[0.00007843753,0.00010287917,0.0020474137,0.000020986898,0.00003553199,0.00011141089,0.00005458361,0.7801299,0.00063483225,0.216469,0.0002888879,0.000026080857],"about_ca_topic_score_codex":0.00074848963,"about_ca_topic_score_gemma":0.0008797663,"teacher_disagreement_score":0.0042056614,"about_ca_system_score_codex":0.00040286622,"about_ca_system_score_gemma":0.0004423715,"threshold_uncertainty_score":0.017711937},"labels":[],"label_agreement":null},{"id":"W2282175139","doi":"10.2139/ssrn.2735651","title":"Stabilizing Expectations at the Zero Lower Bound: Experimental Evidence","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Zero lower bound; Zero (linguistics); Upper and lower bounds; Econometrics; Mathematics; Psychology; Economics; Monetary economics; Philosophy; Mathematical analysis; Monetary policy; Linguistics","score_opus":0.0539045319835796,"score_gpt":0.26135440488674105,"score_spread":0.20744987290316147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282175139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87381095,0.0024276285,0.05352693,0.0063071623,0.00044439003,0.00014176479,0.00040448745,0.0004593359,0.06247735],"genre_scores_gemma":[0.99469876,0.00050818606,0.002437222,0.0005878202,0.00005867877,0.000040112718,0.00012821547,0.00008427322,0.001456728],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830306,0.0007343631,0.00009768098,0.00032011443,0.00040144357,0.00014327247],"domain_scores_gemma":[0.9449541,0.04205986,0.0046229484,0.0058447616,0.0016869433,0.00083142746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056218384,0.00072894775,0.0008345163,0.00040809836,0.00054539175,0.0027687566,0.0012332809,0.0018299016,0.022151314],"category_scores_gemma":[0.06945585,0.00045920478,0.00030793765,0.00034858414,0.001777783,0.0024680875,0.0010255075,0.0028961748,0.0029429232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015619059,0.0051825503,0.023961937,0.0017497372,0.000939097,0.0010185027,0.003979181,0.029701551,0.15430836,0.49817532,0.020242063,0.24512267],"study_design_scores_gemma":[0.002984471,0.0035602653,0.02039104,0.00033155727,0.00056396355,0.0006186823,0.00091762934,0.061719306,0.051882293,0.8463372,0.010494423,0.00019921562],"about_ca_topic_score_codex":0.00081484945,"about_ca_topic_score_gemma":0.00034955374,"teacher_disagreement_score":0.022151314,"about_ca_system_score_codex":0.0006964055,"about_ca_system_score_gemma":0.0006683118,"threshold_uncertainty_score":0.074103534},"labels":[],"label_agreement":null},{"id":"W2283042684","doi":"","title":"Bond Portfolio Laddering: A Mean-Variance Perspective","year":2010,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Laddering; Perspective (graphical); Bond; Portfolio; Variance (accounting); Financial economics; Economics; Econometrics; Modern portfolio theory; Actuarial science; Business; Computer science; Finance; Accounting; Artificial intelligence","score_opus":0.02185216886540263,"score_gpt":0.21941215381024853,"score_spread":0.1975599849448459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283042684","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07948048,0.0051959394,0.86903006,0.006469804,0.00032210257,0.000048400172,0.00022151196,0.0002410981,0.038990684],"genre_scores_gemma":[0.9145016,0.0056132874,0.054484703,0.0004505297,0.0008450221,0.00006337884,0.00014966566,0.00010818748,0.023783669],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910307,0.00034236457,0.000053980166,0.00017622949,0.00020709573,0.000117303505],"domain_scores_gemma":[0.9928591,0.0040697474,0.00091362925,0.0007069904,0.0008123244,0.00063826144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038687936,0.00084799714,0.0015625852,0.0017412149,0.0008724602,0.0040984848,0.0024099306,0.0032268113,0.006034892],"category_scores_gemma":[0.017867673,0.00081062247,0.0011044276,0.0016675513,0.0025052798,0.008614652,0.0016701181,0.0031233188,0.00047017742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025392948,0.000040601197,0.001101168,0.000035471,0.000039137314,0.000081272556,0.000042104577,0.03629473,0.000295243,0.948989,0.0010005818,0.012055291],"study_design_scores_gemma":[0.000010735087,0.000025025442,0.000402878,0.00001979377,0.000017383352,0.00005366847,0.000018932486,0.096294805,0.0001201133,0.90213305,0.00088929594,0.000014218167],"about_ca_topic_score_codex":0.0013981449,"about_ca_topic_score_gemma":0.001281693,"teacher_disagreement_score":0.006034892,"about_ca_system_score_codex":0.0011445879,"about_ca_system_score_gemma":0.00097183726,"threshold_uncertainty_score":0.020460367},"labels":[],"label_agreement":null},{"id":"W2283203177","doi":"10.2139/ssrn.2514593","title":"A Natural Experiment in Portfolio Management","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Project portfolio management; Portfolio; Business; Actuarial science; Economics; Finance; Management; Project management","score_opus":0.00885411599398936,"score_gpt":0.2018017858949108,"score_spread":0.19294766990092144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283203177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89804673,0.00041389206,0.045898497,0.008053719,0.00086835166,0.0011543767,0.0008550967,0.0002511982,0.04445812],"genre_scores_gemma":[0.9634049,0.00016637969,0.024087168,0.0017894077,0.00018551137,0.0012764165,0.00022039602,0.000026621634,0.008843333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9953615,0.0034714001,0.00016781359,0.0004037866,0.0004508295,0.00014480406],"domain_scores_gemma":[0.97089213,0.022172783,0.0020777003,0.0033006861,0.0005622254,0.0009943772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00707117,0.00039820434,0.0005558184,0.00037974602,0.0008459545,0.0016276328,0.00068161986,0.0021303135,0.010982705],"category_scores_gemma":[0.029980512,0.00024813047,0.0004293005,0.00034889102,0.0027142174,0.0022269546,0.00096545095,0.0017476769,0.00080844364],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019201396,0.0279671,0.01937777,0.0015644659,0.00053975976,0.0009710619,0.00274752,0.018972883,0.023517573,0.77419555,0.028472342,0.08247247],"study_design_scores_gemma":[0.010601461,0.019842047,0.013798813,0.00017428974,0.00016816809,0.00069929083,0.0010700965,0.05977098,0.005367174,0.8564967,0.03186126,0.00014975463],"about_ca_topic_score_codex":0.0005459805,"about_ca_topic_score_gemma":0.0006203011,"teacher_disagreement_score":0.010982705,"about_ca_system_score_codex":0.0005585481,"about_ca_system_score_gemma":0.0008901186,"threshold_uncertainty_score":0.03739637},"labels":[],"label_agreement":null},{"id":"W2284123195","doi":"10.1016/b978-0-12-401699-6.00026-5","title":"Crises and Funds of Hedge Funds Tail Risk","year":2013,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hedge fund; Alternative beta; Diversification (marketing strategy); Business; Fund of funds; Financial crisis; Global assets under management; Financial economics; Institutional investor; Financial system; Finance; Economics","score_opus":0.033229918707595875,"score_gpt":0.20828568047027152,"score_spread":0.17505576176267565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284123195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4548565,0.0760233,0.055841565,0.026407104,0.0010829462,0.00004183362,0.00062869093,0.00046330135,0.38465482],"genre_scores_gemma":[0.94734955,0.009984719,0.0014259146,0.00024305745,0.00079581694,0.000019108413,0.00012445869,0.000037646492,0.040019646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998592,0.000041419513,0.000011064807,0.0000178084,0.000048162627,0.00002226638],"domain_scores_gemma":[0.9990759,0.0004386722,0.00022010846,0.000057818976,0.00010559368,0.00010184601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007596764,0.00034920263,0.00032174436,0.0008786345,0.00023824394,0.0027531348,0.00025762935,0.0012427055,0.006457662],"category_scores_gemma":[0.005153144,0.0001641961,0.0001508449,0.000831007,0.0008819608,0.0026868517,0.0007645586,0.0010231219,0.0005522618],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018130687,0.000029725674,0.0030294408,0.00006938874,0.000029359393,0.00022086463,0.00024336574,0.009328526,0.00070534745,0.8983889,0.016097274,0.07167645],"study_design_scores_gemma":[0.00002091104,0.000021178548,0.0019425284,0.00007564335,0.000009522589,0.0001878911,0.00008156322,0.013695296,0.0002197317,0.96776843,0.01596603,0.000011159033],"about_ca_topic_score_codex":0.000724173,"about_ca_topic_score_gemma":0.00046153984,"teacher_disagreement_score":0.006457662,"about_ca_system_score_codex":0.0007305232,"about_ca_system_score_gemma":0.00036235838,"threshold_uncertainty_score":0.021602988},"labels":[],"label_agreement":null},{"id":"W2285626603","doi":"10.2139/ssrn.2227501","title":"When the Government Went Experimental","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Government (linguistics); Business; Political science; Philosophy","score_opus":0.010874466621116711,"score_gpt":0.19746629866946763,"score_spread":0.18659183204835092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285626603","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0401151,0.0024513884,0.0031867384,0.43998945,0.017252622,0.00011784492,0.00050771236,0.00022752947,0.49615163],"genre_scores_gemma":[0.45022914,0.000953619,0.0013406586,0.15337506,0.0025562553,0.00015648206,0.00022135873,0.00030794638,0.3908595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9965198,0.0006685166,0.00008895619,0.0005620888,0.00077249156,0.0013881371],"domain_scores_gemma":[0.99784076,0.00048138155,0.00012082833,0.00032998013,0.0005708721,0.00065615994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004024945,0.00032718354,0.0004914049,0.0007086844,0.005031643,0.01039514,0.000791067,0.009199425,0.03249207],"category_scores_gemma":[0.012725019,0.0003909,0.00075583835,0.00064557296,0.0059790974,0.0073794597,0.0030804132,0.015167437,0.0053658076],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009524054,0.000044031032,0.0008725818,0.000036931036,0.0000249002,0.0002709895,0.00094060024,0.0000928959,0.0004464897,0.8507643,0.13580874,0.01060236],"study_design_scores_gemma":[0.000077715726,0.00006604713,0.0031533353,0.00020210381,0.00002722532,0.00012297569,0.0027987564,0.00023901541,0.0012190965,0.17845969,0.81355816,0.00007585422],"about_ca_topic_score_codex":0.017907782,"about_ca_topic_score_gemma":0.021869779,"teacher_disagreement_score":0.03249207,"about_ca_system_score_codex":0.0078064213,"about_ca_system_score_gemma":0.007904969,"threshold_uncertainty_score":0.10869682},"labels":[],"label_agreement":null},{"id":"W2289459571","doi":"10.2139/ssrn.2359069","title":"Insider Trading and Stock Price Crash Risk: International Evidence from a Natural Experiment","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Insider trading; Stock price; Natural experiment; Business; Stock (firearms); Monetary economics; Financial economics; Crash; Economics; Finance; Engineering; Computer science; Medicine","score_opus":0.021165982802236062,"score_gpt":0.22603880432899984,"score_spread":0.20487282152676378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289459571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99867755,0.000054552664,0.00023113364,0.00006325993,0.0000070766496,0.000029157307,0.00016013825,0.000004441748,0.000772643],"genre_scores_gemma":[0.99807847,0.00013933578,0.00044798193,0.00007419975,0.000026844216,0.00006370843,0.00049793883,0.000005279008,0.00066619035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991171,0.00052544853,0.000053407926,0.00013249092,0.00010089236,0.00007079774],"domain_scores_gemma":[0.9853644,0.008308558,0.0027386907,0.0024564103,0.00029088737,0.00084111193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003548688,0.0003897714,0.00048049114,0.00029780314,0.0005159439,0.00075448654,0.00047990205,0.00081448106,0.0045940685],"category_scores_gemma":[0.008167443,0.00023790912,0.00035439042,0.00030609974,0.0013588488,0.0009556376,0.0004964633,0.001067256,0.00046610174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.08789219,0.05240949,0.7810716,0.00029745846,0.0018854977,0.0009430248,0.0022108713,0.0035716384,0.019772038,0.0057389685,0.0039063483,0.040300947],"study_design_scores_gemma":[0.0062937066,0.043595046,0.9188262,0.00006138741,0.0011036828,0.0011231446,0.0011396322,0.009996621,0.006172749,0.0070880717,0.0044690627,0.0001306163],"about_ca_topic_score_codex":0.0021955497,"about_ca_topic_score_gemma":0.0021028235,"teacher_disagreement_score":0.0045940685,"about_ca_system_score_codex":0.00021783604,"about_ca_system_score_gemma":0.00028658917,"threshold_uncertainty_score":0.018767476},"labels":[],"label_agreement":null},{"id":"W228962187","doi":"","title":"Tests of Technical Trading Rules in the Asian-Pacific Equity Markets: A Bootstrap Approach","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Equity (law); Profitability index; Trading strategy; Financial economics; Transaction cost; Technical analysis; Business; Asia pacific; Economics; Accounting; Finance; International trade","score_opus":0.04669104544163603,"score_gpt":0.24885356445936502,"score_spread":0.202162519017729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W228962187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622247,0.00032792805,0.033693522,0.00017015326,0.000029726623,0.000060694845,0.00028598955,0.00012292799,0.0030843895],"genre_scores_gemma":[0.9946897,0.00004796331,0.004769415,0.000019950216,0.000027004433,0.00002247594,0.00031382462,0.00001115551,0.000098577664],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97784275,0.014964088,0.0011753244,0.0016662137,0.0037209042,0.00063077535],"domain_scores_gemma":[0.7097039,0.26897463,0.008746772,0.008026589,0.0032007226,0.0013473805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022427201,0.00059739454,0.0009484744,0.0040108836,0.00085424504,0.0013081465,0.0011952929,0.00127247,0.0014951072],"category_scores_gemma":[0.14049035,0.00022506306,0.0011716104,0.0028577093,0.0015853319,0.0019343125,0.0011074792,0.0010335556,0.0002678475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032595855,0.0010737333,0.62734485,0.00029273122,0.0037053602,0.002250396,0.0010164608,0.13209803,0.005159923,0.017155642,0.0027052308,0.20393813],"study_design_scores_gemma":[0.0003010888,0.002800554,0.25532538,0.00009005552,0.0005023966,0.0014367915,0.001642617,0.70357734,0.0045179557,0.027090304,0.0025794574,0.00013600453],"about_ca_topic_score_codex":0.0014704857,"about_ca_topic_score_gemma":0.0014165,"teacher_disagreement_score":0.022427201,"about_ca_system_score_codex":0.0003906346,"about_ca_system_score_gemma":0.00058043236,"threshold_uncertainty_score":0.11860782},"labels":[],"label_agreement":null},{"id":"W2290636015","doi":"10.2139/ssrn.2739335","title":"Stock portfolio design and backtest overfi tting","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Society of Canada","funders":"","keywords":"Portfolio; Computer science; Sample (material); Stock (firearms); Portfolio optimization; Econometrics; Finance; Economics; Engineering","score_opus":0.022388332469701035,"score_gpt":0.20536909742130396,"score_spread":0.18298076495160293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290636015","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16402893,0.0012739935,0.82663715,0.0005264137,0.00013841043,0.0001502077,0.00022177424,0.0014219489,0.0056012007],"genre_scores_gemma":[0.8656015,0.00028704703,0.12686557,0.00023341656,0.00012021421,0.00010203109,0.0004658551,0.0001439926,0.0061804303],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836284,0.000872779,0.000116861316,0.00017782554,0.00032274166,0.00014693591],"domain_scores_gemma":[0.99313265,0.004533402,0.00038038904,0.0007850561,0.0009826454,0.00018591121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038301833,0.00085446774,0.0012327513,0.0015025794,0.0003188383,0.0016109301,0.0011303825,0.0015302212,0.006162169],"category_scores_gemma":[0.013829024,0.00056281855,0.0006448329,0.0007737081,0.0005340867,0.0019292396,0.0010579223,0.0006891714,0.00072619505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011929026,0.00022243452,0.010026598,0.00016654284,0.0002319945,0.00029542044,0.0000974946,0.41387135,0.008561858,0.011971065,0.004095122,0.54926723],"study_design_scores_gemma":[0.000057779464,0.00018017356,0.00079562434,0.0000123294885,0.000039160914,0.00006404612,0.000011723473,0.9872679,0.0030742227,0.007931232,0.00055608037,0.000009805844],"about_ca_topic_score_codex":0.0012791357,"about_ca_topic_score_gemma":0.0012674556,"teacher_disagreement_score":0.006162169,"about_ca_system_score_codex":0.0005578897,"about_ca_system_score_gemma":0.00072722003,"threshold_uncertainty_score":0.020614505},"labels":[],"label_agreement":null},{"id":"W2290841468","doi":"10.5539/ibr.v9n4p73","title":"Women Investors’ Preferences: Case of Jordan","year":2016,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Applied Science Private University","keywords":"Market liquidity; Business; Dividend; Investment (military); Value (mathematics); Monetary economics; Stock exchange; Demographic economics; Economics; Finance","score_opus":0.1494394577751458,"score_gpt":0.32346508168156823,"score_spread":0.17402562390642243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290841468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901044,0.0002621568,0.00014431134,0.00067823566,0.000004631759,0.0000096078975,0.00005309662,0.0000019554561,0.008741611],"genre_scores_gemma":[0.9966558,0.00026310715,0.00008298733,0.00010001939,0.0000076011133,0.000003545843,0.00003686529,0.0000011474247,0.0028488783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997732,0.00009993517,0.000006330092,0.000019556048,0.000021770666,0.00007917005],"domain_scores_gemma":[0.99925655,0.00028640765,0.000153266,0.000034707107,0.000092196555,0.00017678466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000953976,0.00017883586,0.00022761039,0.00056702027,0.0010739291,0.0013048286,0.00034997685,0.0007436494,0.009447733],"category_scores_gemma":[0.0016905972,0.00011083734,0.00028253655,0.0005544387,0.0004222488,0.000638728,0.0006547363,0.0005744025,0.00051374343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030718192,0.002194516,0.813503,0.00018720784,0.00018461383,0.02332868,0.01852351,0.0058235377,0.0016784515,0.04492896,0.009375955,0.07719976],"study_design_scores_gemma":[0.0011489572,0.0019252278,0.5527332,0.0003588598,0.00039436313,0.012335058,0.25616255,0.07624263,0.003116248,0.03152829,0.06385686,0.0001977236],"about_ca_topic_score_codex":0.02063224,"about_ca_topic_score_gemma":0.02139793,"teacher_disagreement_score":0.02063224,"about_ca_system_score_codex":0.0009395933,"about_ca_system_score_gemma":0.00047985718,"threshold_uncertainty_score":0.041024268},"labels":[],"label_agreement":null},{"id":"W2291557689","doi":"","title":"Momentum Profits, Portfolio Characteristics and Asset Pricing Models","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thomson Reuters (Canada)","funders":"","keywords":"Capital asset pricing model; Momentum (technical analysis); Financial economics; Economics; Portfolio; Equity (law); Asset (computer security); Computer science","score_opus":0.01667412500872044,"score_gpt":0.20558511996121664,"score_spread":0.1889109949524962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291557689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9267034,0.0015638536,0.05557382,0.0021740298,0.00005347116,0.000050831422,0.00035288715,0.00013790991,0.013389827],"genre_scores_gemma":[0.99648064,0.00033574397,0.0012144595,0.000022787106,0.000045366607,0.000009966073,0.00010736591,0.0000076143015,0.0017761373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972206,0.00012080103,0.000011582006,0.000040597522,0.000040259885,0.000064709915],"domain_scores_gemma":[0.995529,0.0028103944,0.0009490985,0.0002258296,0.00018031891,0.00030543352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017283404,0.0005038581,0.00055070163,0.00089124736,0.0003816754,0.0029475805,0.0006694344,0.0010055505,0.0032510771],"category_scores_gemma":[0.010062814,0.00022831981,0.00033982072,0.0012842567,0.0007732294,0.0028961776,0.00059789844,0.0010047379,0.00046948798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031789317,0.0003091301,0.15382622,0.00007339221,0.00014461495,0.0011113104,0.00072268536,0.45788696,0.00062122213,0.33994848,0.0052812044,0.039756842],"study_design_scores_gemma":[0.000028736735,0.00006467604,0.026835319,0.000019039126,0.000026090296,0.0002365379,0.00018880669,0.6848308,0.00007162085,0.28632966,0.0013376486,0.00003109435],"about_ca_topic_score_codex":0.0038664038,"about_ca_topic_score_gemma":0.0021272576,"teacher_disagreement_score":0.0038664038,"about_ca_system_score_codex":0.00067870354,"about_ca_system_score_gemma":0.0004025752,"threshold_uncertainty_score":0.01087594},"labels":[],"label_agreement":null},{"id":"W2294419431","doi":"","title":"Did Decimalization Benefit Members of the Toronto Stock Exchange","year":2005,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina; University of Alberta","funders":"","keywords":"Decimal; Stock exchange; Welfare; Multivariate statistics; Stock (firearms); Business; Financial economics; Economics; Geography; Statistics; Finance; Mathematics; Arithmetic; Market economy","score_opus":0.02677838767182539,"score_gpt":0.2151873197056702,"score_spread":0.18840893203384482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294419431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990152,0.000019315346,0.000032463933,0.000091564325,0.0000024869098,0.000002304277,0.000034048433,0.0000011614687,0.00080145366],"genre_scores_gemma":[0.99937904,0.00002917356,0.000049834714,0.000020842423,0.000006148131,0.0000014177065,0.000056048415,5.125727e-7,0.0004568653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996872,0.0000970588,0.000018300907,0.0000274082,0.00007568996,0.00009430517],"domain_scores_gemma":[0.9961591,0.0006895123,0.0015559157,0.00035228732,0.00047578002,0.00076739636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008751717,0.00013805069,0.00014541735,0.00027094476,0.00047616125,0.00088093855,0.00025506332,0.00022917018,0.0027321656],"category_scores_gemma":[0.0052826367,0.000061922816,0.00013146456,0.0003569999,0.00041015766,0.000527921,0.0007118749,0.00029677083,0.00029990726],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017674887,0.00029697097,0.91983134,0.00004242559,0.00011352951,0.00024660814,0.0022442155,0.003346801,0.005842221,0.001799192,0.0013554906,0.06311365],"study_design_scores_gemma":[0.00003404098,0.00047617336,0.98716587,0.000010958323,0.000049519887,0.0001039205,0.003336917,0.0034082755,0.0022546863,0.0007018154,0.002438961,0.000018913475],"about_ca_topic_score_codex":0.02964441,"about_ca_topic_score_gemma":0.07125716,"teacher_disagreement_score":0.9703556,"about_ca_system_score_codex":0.0010989546,"about_ca_system_score_gemma":0.0006929837,"threshold_uncertainty_score":0.05894369},"labels":[],"label_agreement":null},{"id":"W2294563585","doi":"10.2139/ssrn.2666818","title":"Are Funds True to Label? Matching Qualitative and Quantitative Information Internet Appendix","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Matching (statistics); The Internet; Computer science; Information retrieval; Appendix; Artificial intelligence; Mathematics; World Wide Web; Statistics; Biology","score_opus":0.058783294931021475,"score_gpt":0.2893460047376951,"score_spread":0.23056270980667365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294563585","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00767861,0.00017381889,0.023260241,0.0034865455,0.00071865926,0.0021552173,0.7662484,0.0010509121,0.19522755],"genre_scores_gemma":[0.13279104,0.0011247192,0.081899926,0.0025090685,0.0008227695,0.009489597,0.4781035,0.00083959306,0.29241976],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99901426,0.00023793054,0.00012364834,0.00011523061,0.0004315403,0.00007733171],"domain_scores_gemma":[0.9632306,0.02262148,0.0012710665,0.0022673844,0.010085383,0.0005241237],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016068048,0.00030297428,0.00033965925,0.0022947635,0.0005389664,0.0011206559,0.00074446865,0.00095666526,0.58581585],"category_scores_gemma":[0.039099608,0.00027830733,0.0003198058,0.0022454958,0.00029484127,0.0012683856,0.00060776714,0.00053805637,0.15464586],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013061459,0.0001344129,0.0039447458,0.0002907644,0.000007813189,0.000061713494,0.00010541982,0.0009592051,0.00021822237,0.02300028,0.91536736,0.055779472],"study_design_scores_gemma":[0.00032658974,0.00009675229,0.021722784,0.0006519171,0.00003213491,0.00032940714,0.00079381146,0.0075738803,0.0021987741,0.07773844,0.88846064,0.000074844276],"about_ca_topic_score_codex":0.011632275,"about_ca_topic_score_gemma":0.013238006,"teacher_disagreement_score":0.58581585,"about_ca_system_score_codex":0.0015066018,"about_ca_system_score_gemma":0.0016648354,"threshold_uncertainty_score":0.5907834},"labels":[],"label_agreement":null},{"id":"W2296031200","doi":"10.2139/ssrn.2458851","title":"Characteristic-Based Equity Portfolios: Economic Value and Dynamic Style-Allocation","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Portfolio; Equity (law); Economics; Econometrics; Market capitalization; Volatility (finance); Robustness (evolution); Investment style; Market portfolio; Transaction cost; Financial economics; Stock market; Microeconomics; Profit (economics)","score_opus":0.011000515709434406,"score_gpt":0.2244513552493883,"score_spread":0.2134508395399539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296031200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9220736,0.00041909007,0.061218794,0.00045861828,0.0000271333,0.000033775665,0.00021241927,0.000055989552,0.015500509],"genre_scores_gemma":[0.9962805,0.000096095195,0.0017053573,0.00001658919,0.00001514161,0.0000051245365,0.000058539874,0.0000070173755,0.001815727],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996214,0.00012955048,0.0000186794,0.00008076949,0.000095050265,0.000054482975],"domain_scores_gemma":[0.99475336,0.0026866097,0.00091527024,0.00065163354,0.0005869089,0.00040624125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014575052,0.00022242083,0.0003457354,0.001011193,0.00024105208,0.0023835849,0.0006319715,0.00075974735,0.005428231],"category_scores_gemma":[0.015849942,0.000167008,0.00022587848,0.0010705481,0.00063040503,0.0033861448,0.000911742,0.00052866177,0.00042665543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072342134,0.0002859808,0.2030377,0.000091623915,0.00030791634,0.00041703932,0.00044376822,0.10456643,0.0050389483,0.501178,0.0031116977,0.18079749],"study_design_scores_gemma":[0.000053784694,0.00027638674,0.13155425,0.00003247998,0.00011366083,0.00046456102,0.00033987072,0.32157966,0.0016039083,0.54114807,0.0027816223,0.000051827974],"about_ca_topic_score_codex":0.0003340728,"about_ca_topic_score_gemma":0.0004927586,"teacher_disagreement_score":0.005428231,"about_ca_system_score_codex":0.0007168142,"about_ca_system_score_gemma":0.00027429196,"threshold_uncertainty_score":0.01815921},"labels":[],"label_agreement":null},{"id":"W2296345164","doi":"10.1080/13504851.2015.1100240","title":"Variability of realized stock returns and trading volume","year":2015,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Stock (firearms); Econometrics; Portfolio; Economics; Algorithmic trading; Trading strategy; Financial economics; Volume (thermodynamics); Pairs trade; Stock trading; Stock market; Alternative trading system; Geography","score_opus":0.03727938917451533,"score_gpt":0.19757719666268816,"score_spread":0.16029780748817285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296345164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99553514,0.00012362062,0.0007477582,0.000057612197,0.0000074316313,0.000004311328,0.0023999682,0.000023895755,0.0011002561],"genre_scores_gemma":[0.9966551,0.000041462845,0.00014083115,0.000005231035,0.00001997283,0.000004360913,0.0029290621,0.0000035282928,0.00020049175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914706,0.00012850581,0.00012237519,0.00022069336,0.00027856807,0.000102871236],"domain_scores_gemma":[0.9901333,0.0036302356,0.0045293937,0.0007882993,0.0005860515,0.00033272238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012166608,0.00017475466,0.00031395987,0.0012990885,0.00013455775,0.0009410672,0.0003448279,0.00036415012,0.0016287985],"category_scores_gemma":[0.010918655,0.00015908627,0.00035524706,0.0018525099,0.00022974711,0.0006575067,0.000448406,0.00049316714,0.00039983826],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008847817,0.000030372226,0.99201304,0.000014117879,0.00014425733,0.000060050872,0.00009444932,0.0019595008,0.00040685132,0.00055697904,0.00041490642,0.004216943],"study_design_scores_gemma":[0.000002477886,0.000037556623,0.9944008,0.0000046274295,0.000016323742,0.0001096206,0.000045051875,0.004479846,0.00019653037,0.00030775365,0.00039106474,0.000008244888],"about_ca_topic_score_codex":0.0024275745,"about_ca_topic_score_gemma":0.0027128418,"teacher_disagreement_score":0.0024275745,"about_ca_system_score_codex":0.0002959859,"about_ca_system_score_gemma":0.00014010501,"threshold_uncertainty_score":0.0064344406},"labels":[],"label_agreement":null},{"id":"W2296746376","doi":"","title":"Price Impact of Aggressive Liquidity Provision","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Market microstructure; Equity (law); Market maker; Order (exchange); Adverse selection; Market impact; Market depth; Information asymmetry; Financial economics; Economics; Population; Business; Monetary economics; Microeconomics; Finance; Stock market; Geography","score_opus":0.014764525699394813,"score_gpt":0.23330094669476031,"score_spread":0.2185364209953655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296746376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99747986,0.00014656787,0.00035777202,0.00009928189,0.000010791073,0.0000029079335,0.00004904729,0.000033556804,0.0018202357],"genre_scores_gemma":[0.9997546,0.000024423796,0.000047014746,0.000013116875,0.000015339847,5.9317887e-7,0.000025935253,0.0000026250268,0.00011627188],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974924,0.000047560614,0.000015404106,0.000028972361,0.000112738795,0.00004606564],"domain_scores_gemma":[0.9973483,0.0010690865,0.0010004961,0.00013159735,0.00021095463,0.00023953036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032200673,0.00014846896,0.00016789733,0.00045847546,0.00021056761,0.0011481554,0.00024095719,0.00043775403,0.0023566184],"category_scores_gemma":[0.0048677777,0.000107790234,0.00010193644,0.00034331586,0.00026414037,0.00084444444,0.0005787522,0.0006366941,0.00026986893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004761623,0.00077810505,0.6406347,0.0003916283,0.00033565855,0.0058549303,0.002330679,0.020594474,0.14125003,0.021485243,0.0068161036,0.15476681],"study_design_scores_gemma":[0.0000612255,0.0007550834,0.95214254,0.000033819968,0.000104100334,0.0011038283,0.0011071103,0.025124863,0.009932154,0.0060275435,0.003556263,0.000051419218],"about_ca_topic_score_codex":0.0005445116,"about_ca_topic_score_gemma":0.00070852804,"teacher_disagreement_score":0.0023566184,"about_ca_system_score_codex":0.00030084743,"about_ca_system_score_gemma":0.0001309526,"threshold_uncertainty_score":0.007883668},"labels":[],"label_agreement":null},{"id":"W2296765281","doi":"","title":"The Convertible Arbitrage Strategy Analyzed","year":2006,"lang":"en","type":"preprint","venue":"Repository of the University of Ljubljana (University of Ljubljana)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Convertible arbitrage; Convertible bond; Arbitrage; Convertible; Market neutral; Equity (law); Business; Bond; Risk arbitrage; Monetary economics; Hedge fund; Financial economics; Financial system; Economics; Finance; Arbitrage pricing theory; Capital asset pricing model","score_opus":0.018956001950507177,"score_gpt":0.16648540208347282,"score_spread":0.14752940013296564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296765281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793785,0.0015159146,0.0006387378,0.00018070097,0.000007942749,0.00005497221,0.0023944802,0.000029143252,0.015799629],"genre_scores_gemma":[0.99188083,0.00055890856,0.00029350948,0.000017638806,0.0000063418724,0.000007370289,0.002126845,0.0000072744815,0.0051011993],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936765,0.000022760534,0.00002017922,0.00008409669,0.00031063374,0.00019481238],"domain_scores_gemma":[0.99851745,0.00015490962,0.00058084965,0.000083393286,0.0004929271,0.00017043896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042057422,0.00030105232,0.0003094542,0.0025019941,0.0008269961,0.0018714035,0.00056026626,0.00038923245,0.0032171202],"category_scores_gemma":[0.003000509,0.00011877121,0.00036309494,0.003302807,0.0004828242,0.00072518334,0.00034586067,0.0004723348,0.00029189972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062068575,0.00029615173,0.8150095,0.00024977056,0.0002792014,0.0018259294,0.0018108304,0.010808138,0.0058986433,0.038247783,0.009445081,0.115508325],"study_design_scores_gemma":[0.000035872567,0.00009429699,0.9340806,0.000050927563,0.00012656247,0.0009260228,0.0018130881,0.016844384,0.0031587586,0.0026433552,0.040159732,0.000066309156],"about_ca_topic_score_codex":0.69052595,"about_ca_topic_score_gemma":0.6603934,"teacher_disagreement_score":0.69052595,"about_ca_system_score_codex":0.006283128,"about_ca_system_score_gemma":0.0034722926,"threshold_uncertainty_score":0.62259316},"labels":[],"label_agreement":null},{"id":"W2305419696","doi":"10.5539/ijef.v8n4p183","title":"The Influence of Weather Conditions on Rates of Return of Polish Equity Indices","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Snow; Wind speed; Environmental science; Atmospheric sciences; Meteorology; Return period; Climatology; Geography; Physics; Geology","score_opus":0.028766345332560523,"score_gpt":0.26582988843145944,"score_spread":0.2370635430988989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305419696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998072,0.00009471659,0.00029979457,0.000023928402,0.0000057293046,0.0000033692247,0.00019092447,0.0000049799614,0.0013046082],"genre_scores_gemma":[0.99948967,0.00006122484,0.000069151836,0.0000028801976,0.0000045258444,0.000001993706,0.00013715381,0.000002638915,0.00023064489],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957365,0.00012142536,0.000047945334,0.000101008474,0.00009726627,0.00005878823],"domain_scores_gemma":[0.99656457,0.0016880357,0.0009850138,0.00030193102,0.00029392817,0.00016663103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010247623,0.00011540836,0.00017995095,0.0005696491,0.000087891945,0.00078555365,0.000114887465,0.00014276417,0.0015349793],"category_scores_gemma":[0.005866345,0.00007487335,0.00023421933,0.00049358874,0.00021804322,0.00048116146,0.00029875492,0.00021037598,0.00027852337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069328817,0.000062993466,0.96444803,0.000042236352,0.00021556599,0.0003639939,0.0005423326,0.0029346864,0.0047987,0.0014184404,0.0004003775,0.024079394],"study_design_scores_gemma":[0.00000390013,0.00008002146,0.99589205,0.0000036199672,0.000034442186,0.00009258896,0.00021800103,0.0017432161,0.0011400677,0.00031630095,0.00046928856,0.000006495894],"about_ca_topic_score_codex":0.0017165125,"about_ca_topic_score_gemma":0.001209255,"teacher_disagreement_score":0.0017165125,"about_ca_system_score_codex":0.00019053683,"about_ca_system_score_gemma":0.00015156709,"threshold_uncertainty_score":0.0054195523},"labels":[],"label_agreement":null},{"id":"W2308039153","doi":"10.5430/ijfr.v7n2p98","title":"Forecasting Portfolio Balance Using Return Mean, Standard Deviation and Spending","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Standard deviation; Volatility (finance); Portfolio; Economics; Government spending; Proxy (statistics); Econometrics; Modern portfolio theory; Absolute deviation; Balance (ability); Financial economics; Statistics; Mathematics; Welfare","score_opus":0.15786897544676906,"score_gpt":0.3468856323900313,"score_spread":0.18901665694326222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308039153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78051764,0.00049336057,0.2093284,0.00039800734,0.00007350717,0.000040499202,0.0013814514,0.0007795293,0.006987575],"genre_scores_gemma":[0.97452366,0.00022032822,0.02321089,0.00002169499,0.00003757316,0.000021080374,0.001025009,0.00005042327,0.00088945084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942136,0.000101883365,0.000053994794,0.00011759741,0.0002481246,0.000057043137],"domain_scores_gemma":[0.9973726,0.0009520757,0.00072745874,0.00023100384,0.00059952476,0.0001174626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001654028,0.00050592795,0.000587904,0.0020882546,0.00018411977,0.001337429,0.000415257,0.0006034922,0.0010894212],"category_scores_gemma":[0.010774942,0.00026972746,0.00040474572,0.0017263743,0.00019471342,0.0017758338,0.0004966569,0.0007142894,0.0005791768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032962696,0.00008793197,0.26268142,0.000069391885,0.00020806173,0.00024970798,0.00019555772,0.55396587,0.0071748076,0.009273696,0.0027005963,0.16306333],"study_design_scores_gemma":[0.000013887944,0.000084119645,0.06065923,0.000023460472,0.00003464995,0.00008898144,0.000046057994,0.92780644,0.003378392,0.0060781315,0.0017438309,0.00004289566],"about_ca_topic_score_codex":0.0052438118,"about_ca_topic_score_gemma":0.0038141082,"teacher_disagreement_score":0.0052438118,"about_ca_system_score_codex":0.0006654099,"about_ca_system_score_gemma":0.00042999745,"threshold_uncertainty_score":0.010426581},"labels":[],"label_agreement":null},{"id":"W2309767280","doi":"10.2139/ssrn.2474255","title":"Social Screens and Systematic Boycott Risk","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Boycott; Political science; Business; Law; Politics","score_opus":0.01149445741987535,"score_gpt":0.19849428012169887,"score_spread":0.18699982270182353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309767280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971414,0.0014879069,0.003967078,0.00341249,0.000036033092,0.000025338766,0.00024863,0.000043572483,0.01936488],"genre_scores_gemma":[0.9980001,0.00017795309,0.00005899227,0.00004242875,0.000023519655,0.0000030970464,0.0000195558,0.0000018054423,0.001672441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995346,0.00016629693,0.000023265895,0.00005709946,0.00010214836,0.000116625946],"domain_scores_gemma":[0.97840846,0.008872716,0.009807733,0.00066074973,0.00079638534,0.00145398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008241322,0.00020469751,0.0003240921,0.00076897704,0.0005058154,0.0014563522,0.00023097158,0.0011468087,0.010841394],"category_scores_gemma":[0.012454632,0.00016236953,0.00020493614,0.0006984283,0.0012023717,0.0010610891,0.0006787646,0.0011320097,0.00039939754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014310332,0.0005857552,0.58576703,0.0001921031,0.00037403143,0.0024986905,0.0024058642,0.015044238,0.0016627987,0.29143292,0.01660296,0.08200265],"study_design_scores_gemma":[0.00025193387,0.00094608054,0.51599187,0.00015475923,0.00027985498,0.0018759712,0.003445581,0.06594038,0.0011956043,0.3986758,0.01111603,0.00012603033],"about_ca_topic_score_codex":0.004984468,"about_ca_topic_score_gemma":0.005111166,"teacher_disagreement_score":0.010841394,"about_ca_system_score_codex":0.00063859316,"about_ca_system_score_gemma":0.00039924486,"threshold_uncertainty_score":0.036268115},"labels":[],"label_agreement":null},{"id":"W2310636687","doi":"10.5430/ijfr.v7n2p93","title":"Testing Explanatory Power of Two Behavioral Models for Price Continuation","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Overconfidence effect; Continuation; Economics; Explanatory power; Behavioral economics; Phenomenon; Financial economics; Econometrics; Stock (firearms); Stock market; Stock price; Attribution; Microeconomics; Psychology; Social psychology; Computer science","score_opus":0.21006378974932616,"score_gpt":0.3842384319309765,"score_spread":0.17417464218165035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310636687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966897,0.00004151695,0.0015631303,0.00022834541,0.000012711815,0.000040536845,0.00018087275,0.000015946041,0.0012271855],"genre_scores_gemma":[0.9987953,0.000028405617,0.00047876505,0.000026552807,0.000012222173,0.000034214703,0.0003601316,0.0000045140046,0.00025977803],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810624,0.00084097945,0.00013613964,0.0005095389,0.00019191534,0.00021521068],"domain_scores_gemma":[0.910206,0.06748813,0.0111679435,0.0069351546,0.0016635658,0.002539134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008553719,0.00084330136,0.00063158676,0.0013119346,0.0006162343,0.002412127,0.0016045674,0.0019910792,0.009000463],"category_scores_gemma":[0.042569958,0.00040803515,0.001480814,0.0007866008,0.0010602539,0.0022939132,0.0015391192,0.0017636644,0.0008161379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020278604,0.0018599973,0.97006255,0.00006663422,0.0006396303,0.00022003004,0.00094461924,0.003989552,0.0006524294,0.0054135127,0.00051705586,0.013606182],"study_design_scores_gemma":[0.00065170025,0.0018298804,0.7523116,0.00004607431,0.00075384945,0.0003464387,0.0017934522,0.22309865,0.00083075976,0.017478384,0.00076508796,0.00009411115],"about_ca_topic_score_codex":0.0049990625,"about_ca_topic_score_gemma":0.0017936347,"teacher_disagreement_score":0.009000463,"about_ca_system_score_codex":0.00076335337,"about_ca_system_score_gemma":0.00086874847,"threshold_uncertainty_score":0.045236886},"labels":[],"label_agreement":null},{"id":"W2312393538","doi":"10.5430/ijfr.v7n2p171","title":"An Empirical Research on Investor Biases in Financial Decision-Making, Financial Risk Tolerance and Financial Personality","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Personality; Big Five personality traits; Financial risk; Sample (material); Investment (military); Finance; Logistic regression; Scope (computer science); Psychology; Actuarial science; Business; Social psychology","score_opus":0.19388267088405112,"score_gpt":0.44021916440191994,"score_spread":0.24633649351786882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312393538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99804974,0.00019567099,0.0001588426,0.00008996828,0.000004873547,0.000004004648,0.000012284305,6.991784e-7,0.0014839671],"genre_scores_gemma":[0.99948055,0.0001626718,0.00011310118,0.000022414963,0.0000055951377,0.0000024493866,0.000010519928,3.603486e-7,0.00020229048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938893,0.00026173212,0.0000447764,0.00004636858,0.0001763692,0.00008188355],"domain_scores_gemma":[0.9908303,0.0048375814,0.0028227752,0.00034848426,0.00056823477,0.0005926298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014873474,0.0001601257,0.00012863798,0.00058772025,0.00031405062,0.0010753588,0.00011092034,0.0002701766,0.0020727334],"category_scores_gemma":[0.007744126,0.000087921624,0.00018013481,0.0005882725,0.00059454225,0.00046472487,0.00040779696,0.0004493182,0.00012791387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080618884,0.00018715338,0.97845536,0.000053892305,0.000050780953,0.00015128589,0.0024313866,0.00018323111,0.0006275927,0.0006633411,0.00010326191,0.017012108],"study_design_scores_gemma":[0.0000029317819,0.0000655438,0.9961475,0.000027666865,0.000014678957,0.00016225912,0.0022294594,0.0002687744,0.00014066831,0.0005054785,0.00042907774,0.0000059703716],"about_ca_topic_score_codex":0.001180793,"about_ca_topic_score_gemma":0.0019542156,"teacher_disagreement_score":0.0020727334,"about_ca_system_score_codex":0.00027804685,"about_ca_system_score_gemma":0.00030992186,"threshold_uncertainty_score":0.007865906},"labels":[],"label_agreement":null},{"id":"W2320823099","doi":"10.3905/jpm.2007.690611","title":"Spanning Tests for Replicable Small-Cap Indexes as Separate Asset Classes","year":2007,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Portfolio; Diversification (marketing strategy); Efficient frontier; Equity (law); Asset allocation; Index (typography); Business; Econometrics; Asset (computer security); Financial economics; Portfolio optimization; Economics; Computer science","score_opus":0.05284847887732724,"score_gpt":0.28191317365219937,"score_spread":0.22906469477487212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320823099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9799366,0.00016508167,0.014817356,0.00016865789,0.000019045294,0.000071315895,0.00032589375,0.00009062187,0.0044054287],"genre_scores_gemma":[0.99563354,0.000027129123,0.0032738126,0.00006065001,0.000024002042,0.0000513563,0.00072479545,0.00002457995,0.00018017487],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9778528,0.0134028755,0.0015486476,0.0035122551,0.00266276,0.001020659],"domain_scores_gemma":[0.7186563,0.2252699,0.023348013,0.022627091,0.004981403,0.005117286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028007636,0.0007788074,0.0012926678,0.002239116,0.00080072845,0.0027352076,0.0019201254,0.0019086855,0.004978371],"category_scores_gemma":[0.15399969,0.00038408805,0.0016787905,0.0021213647,0.0022957777,0.0049699713,0.0027761569,0.0018382312,0.0005927975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0064534023,0.0012370792,0.6453773,0.000317865,0.0039633047,0.0017659556,0.001788725,0.09528029,0.016712915,0.09356847,0.0037750392,0.12975965],"study_design_scores_gemma":[0.00072761055,0.0046764067,0.4280669,0.000123536,0.00076378725,0.0011254733,0.0021722915,0.39956805,0.012006923,0.14732079,0.00327547,0.00017282364],"about_ca_topic_score_codex":0.00046401814,"about_ca_topic_score_gemma":0.00028722163,"teacher_disagreement_score":0.028007636,"about_ca_system_score_codex":0.000627615,"about_ca_system_score_gemma":0.00067906326,"threshold_uncertainty_score":0.14812034},"labels":[],"label_agreement":null},{"id":"W2321205464","doi":"","title":"Efficient Market Hypothesis and Fundamental Analysis: An Empirical Test in the European Securities Market","year":2016,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Efficient-market hypothesis; Financial market; Dividend; Economics; Financial economics; Sample (material); Irrational number; Empirical research; Market efficiency; Empirical evidence; Business; Stock market; Finance","score_opus":0.03280357823038415,"score_gpt":0.2285658145666154,"score_spread":0.19576223633623124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321205464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98773164,0.00041328024,0.007650072,0.00045104508,0.000027940545,0.000026134789,0.000118329895,0.000017356026,0.0035642583],"genre_scores_gemma":[0.9987632,0.00007252199,0.0007247394,0.000028884224,0.000047445606,0.00000911165,0.00016459124,0.000003668094,0.00018592294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956163,0.0023218556,0.00032264946,0.0006384273,0.00075993873,0.00034089075],"domain_scores_gemma":[0.842018,0.13712029,0.011266305,0.0046089254,0.0028210806,0.002165272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0133064985,0.00045506423,0.00096444425,0.0022494434,0.0005139266,0.001940177,0.0010382858,0.0014833792,0.0067938142],"category_scores_gemma":[0.062238246,0.00019033218,0.0012357509,0.0015799219,0.002961022,0.0038804268,0.0017335552,0.0013236728,0.000539421],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023795909,0.0012093233,0.7882119,0.0002829172,0.0010543205,0.0012509893,0.0014457041,0.013348402,0.0020822785,0.10016144,0.0026480497,0.08592507],"study_design_scores_gemma":[0.00055389607,0.0020844676,0.6916585,0.00018039554,0.00046430633,0.0010197705,0.0024507204,0.18508561,0.0026745729,0.10878947,0.004946101,0.00009215548],"about_ca_topic_score_codex":0.00062484655,"about_ca_topic_score_gemma":0.00025593152,"teacher_disagreement_score":0.0133064985,"about_ca_system_score_codex":0.00040248907,"about_ca_system_score_gemma":0.00073140964,"threshold_uncertainty_score":0.07037234},"labels":[],"label_agreement":null},{"id":"W2323207152","doi":"10.1111/fima.12073","title":"Distribution of Ownership, Short Sale Constraints, and Market Efficiency: Evidence from Cross‐Listed Stocks","year":2014,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"Distribution (mathematics); Business; Monetary economics; Market efficiency; Economics; Financial economics","score_opus":0.02678679374143264,"score_gpt":0.22715749312748623,"score_spread":0.2003706993860536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323207152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99879265,0.00019188038,0.00017416425,0.00006618017,0.0000015193019,0.0000023915838,0.00013441683,0.0000014987344,0.00063517387],"genre_scores_gemma":[0.9993759,0.000085537315,0.00004988039,0.000015614194,0.000009498564,0.0000018295165,0.0002936866,0.0000012976975,0.00016681083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992711,0.00020410627,0.00009472842,0.00016510188,0.00016188427,0.00010310354],"domain_scores_gemma":[0.9647231,0.014125527,0.016122777,0.0020461981,0.0015611493,0.0014212412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017531427,0.0001939463,0.00047693052,0.0011854306,0.0004103569,0.001512697,0.000533555,0.0005064643,0.003619002],"category_scores_gemma":[0.013982021,0.00023600909,0.00033136326,0.0017413012,0.0007846267,0.0018302831,0.001303962,0.00061986997,0.00031454468],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013899269,0.00008628607,0.99368495,0.000015693673,0.0001827699,0.000067294575,0.00028429783,0.00048677,0.00031410044,0.0005203677,0.00015872072,0.0040597646],"study_design_scores_gemma":[0.000008357221,0.000050689614,0.99795854,0.0000061925207,0.00003454026,0.00005011412,0.00030867863,0.0008405824,0.00017662288,0.00033367364,0.00022575507,0.0000062238464],"about_ca_topic_score_codex":0.010561017,"about_ca_topic_score_gemma":0.011412496,"teacher_disagreement_score":0.010561017,"about_ca_system_score_codex":0.00034653643,"about_ca_system_score_gemma":0.00018169232,"threshold_uncertainty_score":0.020999074},"labels":[],"label_agreement":null},{"id":"W2324397297","doi":"10.3905/jpm.2013.39.2.101","title":"Book-to-Market and the Cross-Section ofExpected Returns in International Stock Markets","year":2013,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Financial economics; Economics; Stock (firearms); Cash flow; Monetary economics; Econometrics; Finance; Geography","score_opus":0.012827706425596636,"score_gpt":0.22337527310683508,"score_spread":0.21054756668123845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324397297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94713145,0.0048258756,0.039205205,0.0009128347,0.000088533256,0.000039528986,0.0012827114,0.00026457373,0.0062492755],"genre_scores_gemma":[0.9935929,0.00080168206,0.0025853452,0.00007082558,0.00013806146,0.000026548882,0.0013707486,0.000043487318,0.0013702573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979924,0.00090868,0.00016809437,0.00041945613,0.00037324906,0.00013820223],"domain_scores_gemma":[0.9485028,0.03980845,0.0059839054,0.0032352465,0.0017998405,0.00066972856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01128411,0.00055921316,0.0004979783,0.0022826965,0.00030692178,0.0020158917,0.0007048854,0.0007725827,0.0043049008],"category_scores_gemma":[0.04717275,0.00039839858,0.0007842021,0.0023801292,0.00097096676,0.0030533646,0.0012673633,0.001142153,0.0009217853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020941268,0.00013376132,0.888514,0.00009378152,0.00081407075,0.0002800608,0.00022524454,0.03428734,0.0009799902,0.01393903,0.0020674362,0.05845591],"study_design_scores_gemma":[0.000018610961,0.00012661597,0.8855185,0.000046631103,0.00015462282,0.0003575353,0.00017950678,0.08809835,0.002014045,0.021060625,0.0023650322,0.000059991493],"about_ca_topic_score_codex":0.002961978,"about_ca_topic_score_gemma":0.0031957806,"teacher_disagreement_score":0.01128411,"about_ca_system_score_codex":0.00082376914,"about_ca_system_score_gemma":0.00028425304,"threshold_uncertainty_score":0.059676826},"labels":[],"label_agreement":null},{"id":"W2327218340","doi":"10.1111/jofi.12047","title":"The Business Cycle, Investor Sentiment, and Costly External Finance","year":2013,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":355,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cash flow; Recession; Limiting; Monetary economics; Business cycle; Investment (military); Debt; Finance; Economics; Business; Corporate finance; Macroeconomics","score_opus":0.017583180503603392,"score_gpt":0.19914368961802398,"score_spread":0.1815605091144206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327218340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99334794,0.00072769093,0.00041273446,0.00081328687,0.000016275944,0.000013461436,0.00027076306,0.0000058119304,0.004392053],"genre_scores_gemma":[0.99907565,0.00024446033,0.000043483426,0.000056586443,0.00002062995,0.0000032698213,0.00011214604,0.000001922192,0.00044187912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983394,0.00004830801,0.00001505848,0.000024750381,0.00002836966,0.00004959567],"domain_scores_gemma":[0.9918127,0.0026758148,0.0043437895,0.00016707262,0.00031236175,0.0006882948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087009545,0.00019270704,0.0003818621,0.0005116206,0.0002433284,0.0013334062,0.00016073805,0.0005313086,0.0038678474],"category_scores_gemma":[0.0063202013,0.00015599962,0.0002052561,0.0005886346,0.00049961935,0.0006659815,0.0004755272,0.00056821643,0.00024269012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004489018,0.00025381244,0.9631146,0.00006722089,0.00016523263,0.00030027903,0.00009759274,0.0076304465,0.0008798295,0.009337946,0.001678823,0.016025377],"study_design_scores_gemma":[0.00004093837,0.00015609589,0.9691144,0.000046016925,0.00007785313,0.000112902264,0.0002358743,0.015749294,0.00028771523,0.012749524,0.001411436,0.000017870414],"about_ca_topic_score_codex":0.004028481,"about_ca_topic_score_gemma":0.0035779506,"teacher_disagreement_score":0.004028481,"about_ca_system_score_codex":0.00065641786,"about_ca_system_score_gemma":0.000306815,"threshold_uncertainty_score":0.012939215},"labels":[],"label_agreement":null},{"id":"W2331646090","doi":"10.1111/j.1911-3846.2011.01120.x","title":"Management Guidance and the Underpricing of Seasoned Equity Offerings*","year":2011,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Citation; China; Library science; Accounting; Political science; History; Management; Business; Economics; Law; Computer science","score_opus":0.17652428981601365,"score_gpt":0.3103906780122641,"score_spread":0.13386638819625046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331646090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9799397,0.00066961214,0.00092533027,0.0026078084,0.000096641365,0.000017455679,0.000116399766,0.00004067471,0.015586375],"genre_scores_gemma":[0.99739623,0.00020596913,0.00026719156,0.00015517724,0.000077982935,0.000002553762,0.000042870684,0.000008350895,0.0018436228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926513,0.00022104004,0.00007022572,0.00007236225,0.00024046357,0.0001307106],"domain_scores_gemma":[0.96434414,0.014209778,0.015914863,0.00093269034,0.0027458519,0.0018525347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022116073,0.00013730959,0.00019568496,0.0005236474,0.00043594796,0.0019692774,0.0003572692,0.0011910083,0.0042921538],"category_scores_gemma":[0.027414465,0.00013514397,0.00013302811,0.000458212,0.00043498137,0.0010198745,0.0003884638,0.0011410237,0.00046991062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003077403,0.0023801925,0.6089494,0.00028649592,0.00019749442,0.0014084084,0.0017796668,0.0130570205,0.013780429,0.027096622,0.021553976,0.30643296],"study_design_scores_gemma":[0.00007536355,0.0009791803,0.93642485,0.00009520079,0.000065606255,0.00044408874,0.0014124268,0.024901973,0.0021272325,0.019877233,0.013537828,0.00005889195],"about_ca_topic_score_codex":0.004684523,"about_ca_topic_score_gemma":0.011347471,"teacher_disagreement_score":0.004684523,"about_ca_system_score_codex":0.0008288899,"about_ca_system_score_gemma":0.0011884505,"threshold_uncertainty_score":0.014358699},"labels":[],"label_agreement":null},{"id":"W2333889967","doi":"10.5430/ijfr.v7n2p183","title":"The Role of Industry Effect and Market States in Taiwanese Momentum","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Momentum (technical analysis); Profitability index; Proxy (statistics); Economics; Econometrics; Financial economics; Monetary economics; Mathematics; Statistics; Finance","score_opus":0.024336965568720635,"score_gpt":0.2992913083889483,"score_spread":0.2749543428202277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333889967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948978,0.00027353098,0.00034669053,0.00036921768,0.00001559974,0.00001365843,0.00009977376,0.000008325306,0.0039753364],"genre_scores_gemma":[0.9990916,0.000055746023,0.00004870989,0.000025483985,0.000015822445,0.0000028012062,0.00007184857,0.0000028676072,0.00068504043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994023,0.00015352681,0.000061588755,0.000111861984,0.00011009654,0.00016064665],"domain_scores_gemma":[0.98633516,0.0078440495,0.0037227499,0.0005600976,0.00047736292,0.0010605667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015670253,0.00021816384,0.00030982323,0.0011466105,0.0005095724,0.0018474488,0.00028696842,0.0005707657,0.009385219],"category_scores_gemma":[0.008649213,0.00015265869,0.0004869825,0.0010654776,0.0007823771,0.00093392533,0.00083153887,0.0008172503,0.00037300965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021070275,0.00009182914,0.9911767,0.000012499324,0.00007943808,0.00028818965,0.0003537956,0.0002788277,0.00037725028,0.0009252197,0.0001801049,0.006025586],"study_design_scores_gemma":[0.000012659611,0.00010653535,0.9965404,0.000008014205,0.00006614936,0.000069214344,0.0006121003,0.0012922492,0.00018027365,0.0006215631,0.00048422525,0.0000066908465],"about_ca_topic_score_codex":0.010501342,"about_ca_topic_score_gemma":0.010683069,"teacher_disagreement_score":0.010501342,"about_ca_system_score_codex":0.0004059751,"about_ca_system_score_gemma":0.00051925465,"threshold_uncertainty_score":0.031396687},"labels":[],"label_agreement":null},{"id":"W2336174238","doi":"10.1007/978-1-4939-2867-5_12","title":"The Stochastic Integral","year":2015,"lang":"en","type":"book-chapter","venue":"Probability and its applications","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.07822131349007566,"score_gpt":0.23435317628001637,"score_spread":0.1561318627899407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336174238","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075060856,0.09149555,0.49340916,0.010462576,0.005480977,0.000045051547,0.00047682514,0.00051753054,0.39060625],"genre_scores_gemma":[0.45130572,0.08284037,0.09755276,0.004842304,0.018951556,0.00031029657,0.0008838187,0.0008817881,0.34243143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99933225,0.00023019021,0.000031799118,0.00015100765,0.00021708777,0.00003763727],"domain_scores_gemma":[0.99919945,0.0004783325,0.000055870467,0.00010536129,0.000119377575,0.000041693915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010831882,0.0010382264,0.0011418103,0.0014845132,0.000718244,0.0038566731,0.00074205763,0.0020394109,0.009488558],"category_scores_gemma":[0.0035776668,0.00048487587,0.0006609704,0.0017936049,0.0036961017,0.0043246243,0.0013910056,0.0036672158,0.0026037956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025895242,0.000004798471,0.000030638967,0.000028268476,0.000004430768,0.000012655509,0.000029284294,0.001004756,0.0001017002,0.9827069,0.006401328,0.009672637],"study_design_scores_gemma":[0.0000018689136,0.0000025761483,0.00006153955,0.000027316422,0.0000032329492,0.00004293777,0.000010831766,0.005162486,0.00006641048,0.9642362,0.030379558,0.000005094007],"about_ca_topic_score_codex":0.0013384701,"about_ca_topic_score_gemma":0.0006996808,"teacher_disagreement_score":0.009488558,"about_ca_system_score_codex":0.0019727375,"about_ca_system_score_gemma":0.0011524179,"threshold_uncertainty_score":0.031742394},"labels":[],"label_agreement":null},{"id":"W2337071670","doi":"10.2139/ssrn.3211590","title":"Can Investors Fully Adjust for Known Biases in Manager Communications?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Business; Computer science","score_opus":0.05324968600035885,"score_gpt":0.25707274863522384,"score_spread":0.203823062634865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337071670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.857063,0.0022384638,0.08260338,0.01811664,0.00065494154,0.00014331708,0.0015372242,0.0008877557,0.03675535],"genre_scores_gemma":[0.99073774,0.00030278022,0.0037711393,0.0010611202,0.00027686753,0.000025040716,0.0002040954,0.00005477141,0.0035665582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966658,0.0011751764,0.00025033145,0.00077796663,0.00056670164,0.00056402944],"domain_scores_gemma":[0.91204077,0.045118716,0.027126508,0.0104495045,0.004010899,0.0012536452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012868484,0.00063956744,0.0007849924,0.0007444644,0.0004869184,0.0037678457,0.0010577474,0.002746402,0.0055067823],"category_scores_gemma":[0.1563808,0.00056171935,0.00040345022,0.00075578183,0.00087005895,0.0063498393,0.0011852883,0.0019239446,0.00173005],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016655934,0.0004073107,0.63356054,0.00045276774,0.0012986724,0.00075007434,0.002113347,0.032979418,0.0067623453,0.066933535,0.0186801,0.23439635],"study_design_scores_gemma":[0.00046651182,0.00071456225,0.5076847,0.00025758098,0.0009682624,0.0011539948,0.002317771,0.18079634,0.015494892,0.2661225,0.02376711,0.00025585736],"about_ca_topic_score_codex":0.003459892,"about_ca_topic_score_gemma":0.003471466,"teacher_disagreement_score":0.012868484,"about_ca_system_score_codex":0.001028178,"about_ca_system_score_gemma":0.0010607141,"threshold_uncertainty_score":0.06805581},"labels":[],"label_agreement":null},{"id":"W2337816612","doi":"10.15353/rea.v7i2.1420","title":"Sunny Upside? The Relationship Between Sunshine and Stock Market Returns","year":2016,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Presumption; Stock (firearms); Stock market; Economics; Value (mathematics); Financial economics; Geography; Political science; Mathematics; Law","score_opus":0.06302793296731195,"score_gpt":0.2692554897225702,"score_spread":0.20622755675525822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337816612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94069105,0.04193303,0.0007644383,0.0051741675,0.00021321277,0.000009256021,0.0003675226,0.0000102192225,0.010837079],"genre_scores_gemma":[0.9793555,0.017579976,0.0001902071,0.00042124017,0.0003845733,0.0000035761987,0.00018638057,0.0000048476168,0.0018736565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998696,0.000046464866,0.000011538971,0.000027360049,0.00002846539,0.000016542659],"domain_scores_gemma":[0.99681914,0.0013546138,0.0013736351,0.00008055443,0.00019593544,0.00017604628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005391987,0.00013694986,0.00023737486,0.0004644124,0.00015495074,0.0011301021,0.00019518369,0.0004973443,0.00450274],"category_scores_gemma":[0.0047339443,0.00012301217,0.0002042717,0.00081647735,0.00040250496,0.0008703364,0.00024494267,0.0007222043,0.00045280723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046458462,0.00016517902,0.9045284,0.00046732952,0.00055628555,0.00031362934,0.00052795745,0.0012039129,0.0011566952,0.007828864,0.0063982084,0.07638897],"study_design_scores_gemma":[0.000013974003,0.00007186382,0.9885642,0.00010994058,0.00013694505,0.00010877087,0.00051435543,0.000944711,0.00018957083,0.0036993402,0.0056305546,0.00001568557],"about_ca_topic_score_codex":0.005756916,"about_ca_topic_score_gemma":0.0076516215,"teacher_disagreement_score":0.005756916,"about_ca_system_score_codex":0.000278483,"about_ca_system_score_gemma":0.00016504688,"threshold_uncertainty_score":0.015063167},"labels":[],"label_agreement":null},{"id":"W2338639802","doi":"10.2139/ssrn.2348862","title":"Lemons and Proud of It: Information Asymmetry and Risk Transfer Markets","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Information asymmetry; Information transfer; Business; Asymmetry; Financial economics; Economics; Computer science; Finance; Physics; Telecommunications","score_opus":0.006802229238655309,"score_gpt":0.17499172298768823,"score_spread":0.16818949374903291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338639802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39435637,0.015365283,0.15392405,0.15357147,0.00088627543,0.00009985319,0.00036815813,0.00020979758,0.28121886],"genre_scores_gemma":[0.9897662,0.0012302892,0.0017224586,0.0012955349,0.0006519573,0.000023107918,0.00002114625,0.00002105188,0.005268223],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99842095,0.0009781338,0.000049805458,0.00016715842,0.0002552712,0.0001287564],"domain_scores_gemma":[0.97783935,0.017413525,0.002141325,0.0012903723,0.0007056144,0.000609834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043362943,0.0003571509,0.0009102941,0.0009551998,0.0011291761,0.0071371472,0.0008701522,0.0047218413,0.011379236],"category_scores_gemma":[0.032795805,0.0003067553,0.00042016467,0.0012103786,0.0055131027,0.014568476,0.0019263761,0.0040008654,0.0005412228],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081975246,0.000019507013,0.00058919005,0.000033457254,0.000012493254,0.00009050887,0.0003409759,0.0017670208,0.0001166741,0.9869704,0.0024091383,0.007568746],"study_design_scores_gemma":[0.000014956477,0.0000094410325,0.0002157858,0.00001587819,0.0000070996152,0.00003918027,0.000100348174,0.0039062602,0.000045053188,0.9943937,0.0012449867,0.0000071249215],"about_ca_topic_score_codex":0.001048774,"about_ca_topic_score_gemma":0.00060274836,"teacher_disagreement_score":0.011379236,"about_ca_system_score_codex":0.0011228507,"about_ca_system_score_gemma":0.0008338467,"threshold_uncertainty_score":0.03806734},"labels":[],"label_agreement":null},{"id":"W2339173462","doi":"10.2139/ssrn.2558600","title":"Changing Organizational Form in the Stock Exchange Industry and Risk Taking","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Business; Stock exchange; Financial economics; Finance; Economics","score_opus":0.030936622057387918,"score_gpt":0.22242711794723505,"score_spread":0.19149049588984712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339173462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99697876,0.00004936136,0.00015266193,0.00022442118,0.000004194791,0.0000032661278,0.000007061897,0.0000016430015,0.0025786257],"genre_scores_gemma":[0.99943477,0.000026905704,0.000071029666,0.000016333708,0.0000055373666,0.0000013694786,0.00000784577,8.8025587e-7,0.00043529188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993218,0.00027969875,0.00003403148,0.00007381097,0.00009751618,0.0001929926],"domain_scores_gemma":[0.9907036,0.003060469,0.002305739,0.0005568117,0.00058008963,0.002793311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013334564,0.00010698352,0.00014480535,0.0009872627,0.00069207855,0.0023119599,0.00034930985,0.0006632443,0.0047033536],"category_scores_gemma":[0.0075743594,0.00012385644,0.00013891958,0.0006094908,0.0013241991,0.0010686921,0.0008919235,0.0006367177,0.00031694083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004816925,0.0013777411,0.9373145,0.000015985475,0.00005133522,0.00029496395,0.0053037386,0.00077671785,0.0021840378,0.011933333,0.0004355644,0.03983038],"study_design_scores_gemma":[0.000032448344,0.00016392281,0.9790866,0.000012122666,0.000015783293,0.00010938635,0.009008264,0.0015875107,0.0002852821,0.00884562,0.00083808333,0.000015013458],"about_ca_topic_score_codex":0.0033284936,"about_ca_topic_score_gemma":0.007627523,"teacher_disagreement_score":0.0047033536,"about_ca_system_score_codex":0.0007521929,"about_ca_system_score_gemma":0.0007995924,"threshold_uncertainty_score":0.015734255},"labels":[],"label_agreement":null},{"id":"W2339274950","doi":"10.2139/ssrn.2504876","title":"Understanding the Relationship of Momentum with Beta","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Momentum (technical analysis); BETA (programming language); Capital asset pricing model; Econometrics; Stock (firearms); Financial economics; Economics; Estimator; Systematic risk; Mathematics; Statistics; Computer science; Geography","score_opus":0.058895221837634064,"score_gpt":0.2130719761213386,"score_spread":0.15417675428370453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339274950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88517886,0.0034655638,0.04020653,0.011381115,0.00016047756,0.000024893052,0.0002544914,0.00014068163,0.05918739],"genre_scores_gemma":[0.9967525,0.00064107537,0.0010050184,0.00011576089,0.00010474644,0.000005594471,0.00003775625,0.000018601824,0.0013188871],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965096,0.00010824203,0.000019206824,0.00008434923,0.00006773548,0.000069544636],"domain_scores_gemma":[0.9805828,0.013807722,0.0034812496,0.0006430422,0.00085233053,0.0006329216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016881155,0.00039573907,0.00037017796,0.0011323354,0.00038808794,0.005092582,0.00054391584,0.0014295038,0.0069432724],"category_scores_gemma":[0.03246905,0.00046849193,0.00019517755,0.0011917969,0.0013800741,0.009792944,0.0009413586,0.0022430676,0.0008314997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039390678,0.00033316461,0.30741364,0.00015835093,0.00013154045,0.0009401028,0.00216461,0.030357508,0.0038170908,0.5409888,0.0053322655,0.107969046],"study_design_scores_gemma":[0.000042575295,0.00011038705,0.13649887,0.00008207479,0.000051392744,0.00042289862,0.0010438352,0.08769997,0.00080387946,0.7695156,0.003669604,0.00005891252],"about_ca_topic_score_codex":0.0018107168,"about_ca_topic_score_gemma":0.0012315635,"teacher_disagreement_score":0.0069432724,"about_ca_system_score_codex":0.0005707034,"about_ca_system_score_gemma":0.0005389675,"threshold_uncertainty_score":0.023227632},"labels":[],"label_agreement":null},{"id":"W2339282824","doi":"10.2139/ssrn.2763813","title":"A Model of Costly Interpretation of Asset Prices","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sophistication; Economics; Capital asset pricing model; Asset (computer security); Complementarity (molecular biology); Microeconomics; Volatility (finance); Financial economics; Computer science","score_opus":0.020891371971117186,"score_gpt":0.21719947373391754,"score_spread":0.19630810176280036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339282824","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28875715,0.0020329587,0.53867716,0.024089115,0.000547569,0.00013224543,0.0013420542,0.00040974782,0.14401203],"genre_scores_gemma":[0.9480968,0.000636532,0.019551137,0.0003673678,0.00033554874,0.00007423288,0.00019562402,0.000064040294,0.030678678],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989365,0.0005548241,0.000048043345,0.00016794461,0.00015774876,0.00013502799],"domain_scores_gemma":[0.9935409,0.00471681,0.0005635613,0.00048647926,0.0003103922,0.00038185285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019464996,0.0007851491,0.0011730917,0.00085294363,0.00066257996,0.0045788665,0.0029943786,0.006792473,0.015518219],"category_scores_gemma":[0.010037442,0.0007257212,0.0012244326,0.0012024437,0.0024156796,0.004328476,0.0016808145,0.0033554109,0.001020042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008554471,0.00005926113,0.0003510314,0.000059534395,0.000033492022,0.00042506654,0.00012622015,0.08868398,0.00047132288,0.9039555,0.0020281682,0.0037208288],"study_design_scores_gemma":[0.00011378295,0.00003601194,0.00022976821,0.000015215628,0.000025458474,0.00014176057,0.00004517254,0.32413486,0.00009958324,0.6740235,0.0011067848,0.00002812895],"about_ca_topic_score_codex":0.0025697385,"about_ca_topic_score_gemma":0.0018682993,"teacher_disagreement_score":0.015518219,"about_ca_system_score_codex":0.001786555,"about_ca_system_score_gemma":0.0012399234,"threshold_uncertainty_score":0.05191362},"labels":[],"label_agreement":null},{"id":"W2339493912","doi":"10.1111/1911-3846.12236","title":"Who Herds? Who Doesn't? Estimates of Analysts’ Herding Propensity in Forecasting Earnings","year":2016,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Herding; Earnings; Econometrics; Herd behavior; Economics; Herd; Predictive power; Proxy (statistics); Propensity score matching; Statistics; Mathematics; Finance; Geography","score_opus":0.15997430334818902,"score_gpt":0.30300363161502314,"score_spread":0.14302932826683412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339493912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971705,0.0001266158,0.027264172,0.00015502851,0.0000062244967,0.000016807808,0.000077377954,0.000042823507,0.0006059034],"genre_scores_gemma":[0.9967405,0.000025009665,0.003049227,0.000012345995,0.000006408867,0.0000049746604,0.000051107618,0.000002320819,0.00010805572],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920255,0.00034574597,0.000054353466,0.00021563986,0.000105524625,0.00007619312],"domain_scores_gemma":[0.97690046,0.014919993,0.0052124257,0.0017897016,0.0007809301,0.0003964147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046524266,0.00020042238,0.00037280825,0.00097086123,0.0002943669,0.0006714666,0.0004291328,0.00048324757,0.00094329834],"category_scores_gemma":[0.029011667,0.00019322606,0.0004411566,0.00062639057,0.0004193158,0.0012105043,0.00046938463,0.00046375435,0.00012492991],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002194254,0.000112264934,0.8455491,0.000051460476,0.0005478334,0.00016413747,0.0012541144,0.08139227,0.002360757,0.007570595,0.0012998455,0.05947813],"study_design_scores_gemma":[0.000034842138,0.00017970148,0.26965222,0.000043130203,0.0002183196,0.00019751639,0.0007647341,0.7037958,0.0026579127,0.021556098,0.0008488388,0.00005087916],"about_ca_topic_score_codex":0.008566179,"about_ca_topic_score_gemma":0.0062285042,"teacher_disagreement_score":0.008566179,"about_ca_system_score_codex":0.00045719495,"about_ca_system_score_gemma":0.0003497077,"threshold_uncertainty_score":0.024604678},"labels":[],"label_agreement":null},{"id":"W2339697229","doi":"10.2139/ssrn.2634875","title":"When is the Best Time to Hide Earnings News?","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Earnings; Business; Econometrics; Computer science; Economics; Accounting","score_opus":0.021786996261321915,"score_gpt":0.2094072434102562,"score_spread":0.1876202471489343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339697229","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33124256,0.03422642,0.042237636,0.37533668,0.009567967,0.00023143341,0.0027383382,0.0012285893,0.20319043],"genre_scores_gemma":[0.97026795,0.004900592,0.0062635816,0.0062305317,0.0025732066,0.000060278857,0.0003323172,0.00020593409,0.009165466],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99885654,0.00031788906,0.00009857442,0.00016188055,0.00021550436,0.000349519],"domain_scores_gemma":[0.98147696,0.009398068,0.0042343955,0.0006873259,0.0015682661,0.0026349188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003410754,0.00038149187,0.00069952814,0.0010085823,0.000985119,0.006539987,0.00079949485,0.0039100833,0.01935719],"category_scores_gemma":[0.041022938,0.00039198983,0.00042475984,0.0004682631,0.0014523462,0.007308875,0.0009979046,0.0030869788,0.005825975],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004593118,0.0015226137,0.0603459,0.00096379966,0.0005258355,0.0026897471,0.0021668046,0.0038841923,0.0070844754,0.1284342,0.18337329,0.604416],"study_design_scores_gemma":[0.0011854492,0.0015346787,0.0881252,0.003435459,0.001038828,0.0067389607,0.026005378,0.023313044,0.02097588,0.5860453,0.2410647,0.00053709006],"about_ca_topic_score_codex":0.0016284488,"about_ca_topic_score_gemma":0.002067549,"teacher_disagreement_score":0.01935719,"about_ca_system_score_codex":0.0008452149,"about_ca_system_score_gemma":0.0016953618,"threshold_uncertainty_score":0.064756215},"labels":[],"label_agreement":null},{"id":"W2339720206","doi":"","title":"Return-Enhancing Strategies with International ETFs: Exploiting the Turn-of-the-Month Effect","year":2015,"lang":"en","type":"article","venue":"Financial Services Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Business; Stock (firearms); Index fund; Market liquidity; Financial economics; Economics; Monetary economics; Institutional investor; Finance; Open-end fund; Corporate governance; Geography; Marketing","score_opus":0.022469175971272806,"score_gpt":0.23098975587253814,"score_spread":0.20852057990126532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339720206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9674869,0.0007324711,0.025659982,0.00019123728,0.00002773641,0.000033059685,0.0000615877,0.00009863382,0.0057084444],"genre_scores_gemma":[0.99569964,0.00016617091,0.0035811455,0.000015678741,0.000020947706,0.0000095725845,0.000024460867,0.000004760288,0.0004776541],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997578,0.00006422266,0.0000133471085,0.000048771715,0.000056883582,0.000059033253],"domain_scores_gemma":[0.9978993,0.0008132173,0.0008037097,0.00016075865,0.00011708855,0.0002059349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085536623,0.00044543896,0.00049108156,0.0005959001,0.00019874546,0.0010964993,0.00042353375,0.00045655758,0.0023597863],"category_scores_gemma":[0.004614022,0.00014514763,0.0003720121,0.00060378335,0.0003762085,0.0012218882,0.00058099255,0.0003917429,0.00015122048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017669547,0.0017937862,0.3561988,0.0003653035,0.00039152082,0.0016962232,0.0008793497,0.1364819,0.027965168,0.059754122,0.00230437,0.41040254],"study_design_scores_gemma":[0.00015698059,0.0015485703,0.1210571,0.000057124173,0.0004347521,0.000887622,0.0005557842,0.81369984,0.008605519,0.048526503,0.0043788273,0.00009151595],"about_ca_topic_score_codex":0.0009679626,"about_ca_topic_score_gemma":0.0005866169,"teacher_disagreement_score":0.0023597863,"about_ca_system_score_codex":0.00037706541,"about_ca_system_score_gemma":0.0002881418,"threshold_uncertainty_score":0.007894218},"labels":[],"label_agreement":null},{"id":"W2340686466","doi":"10.2139/ssrn.1531786","title":"Like Moths Attracted to Flames: Managerial Hubris and Financial Reporting Fraud","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Brock University; Concordia University","funders":"","keywords":"Hubris; Business; Accounting; Chemiresistor; Finance; History","score_opus":0.013657058299498231,"score_gpt":0.21648771114359344,"score_spread":0.2028306528440952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340686466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717246,0.0009827537,0.0007825309,0.01251736,0.000071483926,0.000012373663,0.00003368534,0.000016659573,0.013858554],"genre_scores_gemma":[0.998587,0.000120349905,0.0000606352,0.00023314268,0.00006852219,0.0000010722788,0.000005318403,0.0000013717297,0.00092262146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932575,0.00030147648,0.000023925966,0.00007255093,0.000102545215,0.00017378308],"domain_scores_gemma":[0.9795004,0.007202583,0.009801839,0.00067250605,0.0007836102,0.0020390246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002171775,0.00012098466,0.00019336835,0.00132187,0.0011783678,0.00285551,0.00045049356,0.0019459234,0.007967462],"category_scores_gemma":[0.02126039,0.0001480776,0.00013767878,0.0008541844,0.002071356,0.002423256,0.0009890689,0.0014070194,0.00033255384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008027878,0.0005748123,0.7836445,0.00007902705,0.00013326909,0.0019233908,0.01346031,0.0012631811,0.00093603553,0.073755085,0.018443774,0.1049839],"study_design_scores_gemma":[0.00014662027,0.0004068317,0.77303046,0.00019563476,0.0001857965,0.0028282409,0.06359726,0.017064374,0.0008710494,0.12305834,0.018489273,0.00012608204],"about_ca_topic_score_codex":0.004525898,"about_ca_topic_score_gemma":0.007104413,"teacher_disagreement_score":0.007967462,"about_ca_system_score_codex":0.00091342063,"about_ca_system_score_gemma":0.00040732668,"threshold_uncertainty_score":0.026653826},"labels":[],"label_agreement":null},{"id":"W2341716929","doi":"10.7202/1036920ar","title":"Identification-Robust Factor Pricing: Canadian Evidence","year":2016,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Carleton University; McGill University; Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; McGill University; Université Laval","keywords":"Econometrics; Capital asset pricing model; Identification (biology); Inference; Factor analysis; Arbitrage pricing theory; Confidence interval; Value (mathematics); Economics; Mathematics; Statistics; Computer science; Artificial intelligence","score_opus":0.12141519278942649,"score_gpt":0.23516042518671437,"score_spread":0.11374523239728788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341716929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67395085,0.05384573,0.08205843,0.02241362,0.00037597428,0.00034745535,0.018345315,0.00093896955,0.14772363],"genre_scores_gemma":[0.9702046,0.010770596,0.010088347,0.00078059477,0.00012423881,0.00002556844,0.0038178426,0.00009249953,0.004095801],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9939737,0.0010273067,0.00034453446,0.0009530872,0.0031045948,0.0005967488],"domain_scores_gemma":[0.93668586,0.027416488,0.008065197,0.008394275,0.018180313,0.0012578486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009013905,0.0008947925,0.00096439506,0.0033635632,0.0023871933,0.0032107227,0.002352953,0.0009966851,0.009137951],"category_scores_gemma":[0.075291954,0.00041222927,0.001130353,0.0090343,0.0023600492,0.0019323713,0.0013222131,0.0019772453,0.0008261478],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007790021,0.00036527673,0.25337824,0.0013623398,0.001188076,0.0011587051,0.0032623925,0.03669552,0.0008021846,0.28857923,0.043126814,0.36930227],"study_design_scores_gemma":[0.00046407516,0.00027564567,0.5755641,0.0013708272,0.0011825303,0.0006559051,0.0027069768,0.08922716,0.0035474184,0.12701926,0.19741464,0.0005715369],"about_ca_topic_score_codex":0.95675874,"about_ca_topic_score_gemma":0.9221423,"teacher_disagreement_score":0.043241262,"about_ca_system_score_codex":0.0140102655,"about_ca_system_score_gemma":0.024274357,"threshold_uncertainty_score":0.101652086},"labels":[],"label_agreement":null},{"id":"W2342659622","doi":"10.5539/jms.v6n2p67","title":"Re-exploring the CCAPM: The Case of US Industry Returns with Different Price Deflators","year":2016,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chuo University","keywords":"GDP deflator; Economics; Consumption (sociology); Capital asset pricing model; Econometrics; Relative price; Stochastic discount factor; Risk aversion (psychology); Mathematical economics; Microeconomics; Expected utility hypothesis; Real gross domestic product","score_opus":0.02601076115996982,"score_gpt":0.21549164328135956,"score_spread":0.18948088212138975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342659622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6395452,0.007462956,0.30583796,0.01052873,0.00077439216,0.0002496887,0.0026159503,0.00073141395,0.032253776],"genre_scores_gemma":[0.9662266,0.0016302607,0.025700819,0.001080884,0.00036234545,0.000092660564,0.0012740451,0.00017884039,0.0034535488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9935453,0.0040637157,0.00029192923,0.0009927211,0.0007762789,0.0003300954],"domain_scores_gemma":[0.97105455,0.020255214,0.0034213613,0.0036103707,0.0014812474,0.00017732404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011435361,0.0008793297,0.0010122871,0.0017536442,0.00050791295,0.0033637565,0.0015145598,0.0010784294,0.004558989],"category_scores_gemma":[0.04883207,0.00037339996,0.0025764804,0.0030701435,0.0010837679,0.0032270919,0.002126281,0.0033134585,0.0009780923],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069585984,0.00031575275,0.24121296,0.00080274633,0.0017840125,0.0034656755,0.0031748612,0.07502044,0.001703793,0.34748697,0.020321397,0.30401546],"study_design_scores_gemma":[0.00020863282,0.0006255536,0.1677478,0.000626943,0.0016435146,0.0017689173,0.004811214,0.46754414,0.0063422406,0.23626307,0.11205274,0.0003652352],"about_ca_topic_score_codex":0.02176178,"about_ca_topic_score_gemma":0.00948484,"teacher_disagreement_score":0.02176178,"about_ca_system_score_codex":0.0010425544,"about_ca_system_score_gemma":0.0010120455,"threshold_uncertainty_score":0.06047666},"labels":[],"label_agreement":null},{"id":"W2342829690","doi":"10.2139/ssrn.2771153","title":"High Frequency Trading and Learning","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"High-frequency trading; Algorithmic trading; Market liquidity; Trading turret; Trading strategy; Alternative trading system; Flash trading; Dark liquidity; Pairs trade; Electronic trading; Market microstructure; Market impact; Competition (biology); Order (exchange); Business; Financial market; Industrial organization; Open outcry; Economics; Financial economics; Finance","score_opus":0.01245528055760663,"score_gpt":0.18746106380100527,"score_spread":0.17500578324339863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342829690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8454968,0.0021178052,0.10520688,0.0032978493,0.00019884041,0.000019337733,0.000109125685,0.00020757948,0.043345794],"genre_scores_gemma":[0.993707,0.00024293068,0.0019006863,0.00006651484,0.0001023087,0.0000055726987,0.000024328061,0.000012165742,0.0039385427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996604,0.00011479603,0.000017719685,0.00008740696,0.00007448423,0.00004520472],"domain_scores_gemma":[0.99086326,0.0067046816,0.0009957032,0.00073520775,0.00034909078,0.00035205614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091110327,0.00018668231,0.00037807215,0.000596881,0.00034526802,0.0020355037,0.00048244142,0.0010057129,0.006356079],"category_scores_gemma":[0.011735848,0.00019211425,0.00026135074,0.00045108012,0.0012204308,0.003483924,0.00090934924,0.0010095364,0.0004174049],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032459977,0.0002829811,0.022892043,0.00014592448,0.00014671539,0.00051756634,0.0005848887,0.04714963,0.0049860026,0.7938894,0.0034227693,0.12565745],"study_design_scores_gemma":[0.000024270472,0.000051213574,0.007182163,0.000013783986,0.000016716333,0.00028835275,0.000111615744,0.11749198,0.00047646638,0.8728931,0.0014328643,0.000017509814],"about_ca_topic_score_codex":0.00038839478,"about_ca_topic_score_gemma":0.00034633517,"teacher_disagreement_score":0.006356079,"about_ca_system_score_codex":0.00037181602,"about_ca_system_score_gemma":0.00020695437,"threshold_uncertainty_score":0.021263242},"labels":[],"label_agreement":null},{"id":"W2343414327","doi":"10.2139/ssrn.2474175","title":"Identifying the Relative Importance of Stock Characteristics in the UK Market","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Stock market; Business; Financial economics; Econometrics; Economics; Geography","score_opus":0.02064712671008497,"score_gpt":0.2226632872532397,"score_spread":0.20201616054315472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343414327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999097,0.00010951218,0.000040011102,0.00006750274,0.0000035384894,0.0000018392997,0.00008191069,8.2548087e-7,0.000597744],"genre_scores_gemma":[0.9995241,0.00005790121,0.000021357662,0.0000114814375,0.0000056073313,7.215914e-7,0.00013750534,0.0000010543783,0.00024037248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993993,0.00014365732,0.000085875174,0.00008538943,0.00012607734,0.00015968569],"domain_scores_gemma":[0.98895603,0.005514464,0.003367793,0.00033577136,0.001030435,0.0007954983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000896331,0.00021929397,0.00036252823,0.001533571,0.000311082,0.0016863445,0.0003032994,0.0007204895,0.0035233265],"category_scores_gemma":[0.01081276,0.00017206812,0.00034041185,0.0015936557,0.00045034025,0.0013739786,0.001172847,0.0006020373,0.0006606165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004257616,0.00003341203,0.9904902,0.000016381886,0.00006462217,0.0001913501,0.00023941998,0.00036180622,0.00066205877,0.00028143683,0.00027353104,0.006959938],"study_design_scores_gemma":[0.000011875247,0.00004948246,0.99763155,0.000008179433,0.000031958516,0.00007522836,0.0004244278,0.0012584733,0.00013892398,0.0001231539,0.00024009061,0.000006577068],"about_ca_topic_score_codex":0.032244187,"about_ca_topic_score_gemma":0.0455342,"teacher_disagreement_score":0.032244187,"about_ca_system_score_codex":0.00072616397,"about_ca_system_score_gemma":0.00047228366,"threshold_uncertainty_score":0.06411296},"labels":[],"label_agreement":null},{"id":"W2344009433","doi":"10.1002/fut.21861","title":"Need for speed: Hard information processing in a high‐frequency world","year":2017,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Karlsruhe House of Young Scientists; University of Toronto; Deutsche Forschungsgemeinschaft","keywords":"Futures contract; Market liquidity; High-frequency trading; Stock (firearms); Price discovery; Database transaction; Arbitrage; Business; Adverse selection; Stock market; Economics; Financial economics; Monetary economics; Finance; Database; Computer science; Engineering","score_opus":0.028511209394701944,"score_gpt":0.23989188271434062,"score_spread":0.21138067331963867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344009433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9330395,0.00052508974,0.05321014,0.001272424,0.00008638655,0.00003885386,0.000049968574,0.00011104001,0.011666613],"genre_scores_gemma":[0.99108934,0.00015958061,0.007507539,0.00010292722,0.00007813051,0.0000109362345,0.000020866944,0.0000213244,0.0010093406],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992588,0.00024920705,0.000042693744,0.00013434676,0.00018626462,0.00012861165],"domain_scores_gemma":[0.97095764,0.022463182,0.00319738,0.0019280354,0.00092630455,0.0005273829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017790815,0.0005068405,0.0004736714,0.00070094387,0.00047495682,0.0039902003,0.00047919148,0.0010582266,0.0045001055],"category_scores_gemma":[0.026362732,0.00036494198,0.00038081533,0.0007127832,0.0009890769,0.0075627863,0.0012049031,0.0012605331,0.00054690347],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003381413,0.0010856455,0.16939759,0.0008214404,0.00061570713,0.0034142286,0.0036144692,0.14178543,0.10918056,0.19703637,0.0053100283,0.36435723],"study_design_scores_gemma":[0.0003943734,0.0014082217,0.09592597,0.00012299536,0.0003644771,0.00202461,0.002016966,0.65181035,0.027900515,0.21073437,0.007101705,0.00019549618],"about_ca_topic_score_codex":0.0005954678,"about_ca_topic_score_gemma":0.00032864098,"teacher_disagreement_score":0.0045001055,"about_ca_system_score_codex":0.00032895317,"about_ca_system_score_gemma":0.0003927538,"threshold_uncertainty_score":0.0150542855},"labels":[],"label_agreement":null},{"id":"W2344676352","doi":"10.5539/ijef.v8n5p220","title":"Volatility of Dhaka Stock Exchange","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Autoregressive conditional heteroskedasticity; Standard deviation; Econometrics; Arch; Economics; Stock market; Financial economics; Forward volatility; Mathematics; Implied volatility; Statistics; Geography","score_opus":0.033312936521536635,"score_gpt":0.22548879609517405,"score_spread":0.19217585957363742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344676352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95080453,0.0026966394,0.0033162746,0.001332495,0.00014301905,0.00008262796,0.01294953,0.00012780544,0.02854714],"genre_scores_gemma":[0.9838779,0.0012224446,0.00089279667,0.00010806225,0.00007745793,0.000042962885,0.009096396,0.00001776573,0.0046641906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995534,0.00005804057,0.000051233226,0.00007516812,0.00021941162,0.00004273778],"domain_scores_gemma":[0.99930024,0.00024410267,0.00018059318,0.000067205474,0.00017426473,0.000033613815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005286812,0.00026406132,0.00034426322,0.0019658473,0.00036160092,0.0016153875,0.0004193036,0.0004338806,0.0032732824],"category_scores_gemma":[0.0024872702,0.00015215848,0.00040550515,0.0024451716,0.00017160934,0.00083303463,0.0004215528,0.0006508841,0.000772783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004547092,0.00021044466,0.80209076,0.00055476575,0.0006650912,0.0027673445,0.0010854951,0.0415065,0.0077234753,0.033541266,0.02300704,0.08639307],"study_design_scores_gemma":[0.0000552572,0.00012883903,0.8482186,0.00017757012,0.00017917747,0.0014672955,0.0007293926,0.10178814,0.0043477765,0.011253922,0.03150381,0.00015028457],"about_ca_topic_score_codex":0.011927727,"about_ca_topic_score_gemma":0.009269502,"teacher_disagreement_score":0.011927727,"about_ca_system_score_codex":0.0008964574,"about_ca_system_score_gemma":0.00043462077,"threshold_uncertainty_score":0.023716569},"labels":[],"label_agreement":null},{"id":"W23454197","doi":"10.1016/j.nbd.2013.02.005","title":"Do Positive Feedback Traders Act in Germany’s Neuer Markt?","year":2006,"lang":"en","type":"article","venue":"Quarterly journal of business and economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Volatility (finance); Economics; Exploit; Financial economics; Econometrics; Empirical evidence; Autocorrelation; Trading strategy; Computer science; Statistics; Mathematics","score_opus":0.013229043863080419,"score_gpt":0.18370867320313997,"score_spread":0.17047962934005956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W23454197","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13696502,0.0143189505,0.01668857,0.10059694,0.0049934513,0.000102197046,0.00046106006,0.0006530918,0.7252208],"genre_scores_gemma":[0.88927007,0.0033870218,0.0028653156,0.0089653265,0.00063595455,0.00005251538,0.00009694568,0.00018999263,0.09453694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99841976,0.00041113427,0.00006977548,0.00038427676,0.0003874776,0.0003275356],"domain_scores_gemma":[0.9979995,0.0006063982,0.00040718366,0.00035436108,0.00038417065,0.00024833626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031442703,0.0004709178,0.0003643498,0.0010541094,0.0021499668,0.007610924,0.0008297007,0.0027237907,0.031055722],"category_scores_gemma":[0.009446176,0.00026497123,0.00034143156,0.00079606177,0.0050484478,0.009344419,0.0027449098,0.0018948693,0.005576146],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031751159,0.000068445974,0.005819942,0.0001896518,0.000049971575,0.0007312335,0.006112858,0.0006742397,0.0016311856,0.82089925,0.038023513,0.12548225],"study_design_scores_gemma":[0.00006216275,0.00010370831,0.0060625887,0.00042583144,0.00005575039,0.000572429,0.0057437,0.0015579506,0.0022718604,0.29993248,0.68312943,0.00008198881],"about_ca_topic_score_codex":0.0035391187,"about_ca_topic_score_gemma":0.0037242272,"teacher_disagreement_score":0.031055722,"about_ca_system_score_codex":0.0022932256,"about_ca_system_score_gemma":0.0015543151,"threshold_uncertainty_score":0.10389173},"labels":[],"label_agreement":null},{"id":"W2345817576","doi":"10.1016/j.intfin.2016.04.003","title":"The bonding hypothesis and the home market liquidity of Chinese cross-listed stocks","year":2016,"lang":"en","type":"article","venue":"Journal of International Financial Markets Institutions and Money","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Market liquidity; Business; Cross listing; Home market; Bond; Financial system; Financial economics; Finance; Economics; Corporate governance; Market economy","score_opus":0.023839158360127483,"score_gpt":0.24596295016161102,"score_spread":0.22212379180148353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345817576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974515,0.0001585507,0.0003021585,0.000220766,0.00000439304,0.0000040473938,0.00004923945,0.00000511926,0.001804289],"genre_scores_gemma":[0.99960715,0.00005681592,0.00002649119,0.000013966588,0.000011891197,0.0000024173135,0.000035100813,7.60579e-7,0.00024536558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987996,0.000019789795,0.000008701064,0.000022850736,0.000019656323,0.000048992497],"domain_scores_gemma":[0.9982759,0.00048819112,0.0007177611,0.00008514894,0.00013475945,0.0002983178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060548104,0.0001616629,0.00035369073,0.0009825858,0.00076801877,0.0015797911,0.0004237151,0.0006270315,0.0055675087],"category_scores_gemma":[0.002894892,0.00016397361,0.00029973834,0.00090031716,0.0012468386,0.0016746664,0.00086047046,0.0003804793,0.0002012646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080288865,0.00028113223,0.83710974,0.00010474993,0.0002786294,0.001564877,0.0030179273,0.0090665575,0.0038130262,0.10757207,0.0028425837,0.033545896],"study_design_scores_gemma":[0.00018166902,0.00018808366,0.88208556,0.000040965027,0.00030007336,0.00020522287,0.0034845874,0.027536971,0.00097067014,0.08333254,0.0016146817,0.000059012036],"about_ca_topic_score_codex":0.012813557,"about_ca_topic_score_gemma":0.010799386,"teacher_disagreement_score":0.012813557,"about_ca_system_score_codex":0.0007334076,"about_ca_system_score_gemma":0.0007788961,"threshold_uncertainty_score":0.025477946},"labels":[],"label_agreement":null},{"id":"W2346862512","doi":"","title":"An analysis of stockbroking firms' recommendations","year":2014,"lang":"en","type":"other","venue":"DR-NTU (Nanyang Technological University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.025240471053983412,"score_gpt":0.20871929678028248,"score_spread":0.18347882572629906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346862512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97483,0.00030507054,0.00061084825,0.00074162136,0.000023913984,0.00014777227,0.0048484863,0.000095694355,0.018396582],"genre_scores_gemma":[0.98483676,0.00023782243,0.0016370617,0.000065362954,0.00003302006,0.000043146523,0.0039251465,0.000016566344,0.009205171],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955699,0.0006426631,0.00043731037,0.00040687574,0.0026387193,0.0003044773],"domain_scores_gemma":[0.9459545,0.020810222,0.013307363,0.002313298,0.016006595,0.0016080004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031409122,0.00024019336,0.00023690345,0.0041695354,0.00047759907,0.0021017531,0.0006756297,0.0006792027,0.0032302374],"category_scores_gemma":[0.036007892,0.00014295542,0.00032534773,0.0044110557,0.00023595057,0.001217989,0.00048742065,0.00066404656,0.001141304],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003350087,0.00026757843,0.85188335,0.00014347432,0.00017089925,0.00044460662,0.0021672612,0.0031227155,0.0016298202,0.0046628225,0.01260491,0.12256758],"study_design_scores_gemma":[0.000017005585,0.00024657953,0.9657476,0.00004941256,0.000052831154,0.00013173641,0.0032602947,0.016245052,0.0009949867,0.0005391281,0.012676376,0.00003900506],"about_ca_topic_score_codex":0.032688938,"about_ca_topic_score_gemma":0.027612815,"teacher_disagreement_score":0.032688938,"about_ca_system_score_codex":0.0020366267,"about_ca_system_score_gemma":0.0013984691,"threshold_uncertainty_score":0.064997375},"labels":[],"label_agreement":null},{"id":"W23488600","doi":"10.2139/ssrn.1077824","title":"Trading Volume Liquidity and Investment Styles","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Market liquidity; Volume (thermodynamics); Business; Investment (military); Monetary economics; Economics; Financial system; Financial economics; Political science","score_opus":0.01835046097558377,"score_gpt":0.210889414052736,"score_spread":0.19253895307715224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W23488600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977436,0.00012080078,0.00011492173,0.00006847869,0.000004777289,0.0000025100946,0.0000865234,0.00000676006,0.0018516383],"genre_scores_gemma":[0.99894124,0.000039409293,0.000051069208,0.000016024065,0.000018487823,0.0000019524305,0.00008004762,0.0000058566293,0.0008459392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967694,0.00011529638,0.0000420273,0.000050984774,0.000054054355,0.000060643753],"domain_scores_gemma":[0.9756866,0.014323613,0.006130885,0.0011224985,0.0004347156,0.002301699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013287194,0.00029315532,0.0002346637,0.0012694624,0.00025484018,0.0028813838,0.00034622522,0.000979767,0.016898159],"category_scores_gemma":[0.016072517,0.00027440785,0.00044198713,0.0010947322,0.0005676567,0.0015460183,0.000668681,0.0009559123,0.0017215138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016754961,0.00024196615,0.98631394,0.000016021844,0.00021323666,0.00031480365,0.00043357347,0.00071517186,0.0018455372,0.00072170474,0.00018956096,0.0073189326],"study_design_scores_gemma":[0.0000670819,0.00032519578,0.99110293,0.0000137356665,0.00011391704,0.00072802237,0.00049675413,0.002229096,0.00043758872,0.0042176773,0.00024550763,0.00002249743],"about_ca_topic_score_codex":0.00028984013,"about_ca_topic_score_gemma":0.0005530717,"teacher_disagreement_score":0.016898159,"about_ca_system_score_codex":0.00014923682,"about_ca_system_score_gemma":0.00011139,"threshold_uncertainty_score":0.05652994},"labels":[],"label_agreement":null},{"id":"W2350121307","doi":"","title":"An Empirical Study of Investment Fund Behavior and Performance","year":2006,"lang":"en","type":"article","venue":"Application of Statistics and Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Momentum (technical analysis); Quarter (Canadian coin); Investment (military); Mutual fund; Manager of managers fund; Business; Economics; Investment style; Closed-end fund; Investment strategy; Monetary economics; Econometrics; Finance; Microeconomics; Return on investment; Geography; Political science","score_opus":0.03074959434261034,"score_gpt":0.26332281306183297,"score_spread":0.23257321871922262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2350121307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947207,0.00038512915,0.00053015904,0.00021268417,0.000007155003,0.000011024089,0.0006205926,0.000017688026,0.003494876],"genre_scores_gemma":[0.9978224,0.00021686545,0.00021110605,0.000035600304,0.000025513753,0.000009079865,0.0008629335,0.000005952438,0.0008106472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998754,0.00042757863,0.00017323799,0.00017129778,0.0003034842,0.00017032365],"domain_scores_gemma":[0.9601564,0.015413833,0.019237988,0.0014125083,0.0022995549,0.00147967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022276677,0.00025781363,0.0002639757,0.0019713214,0.0003072863,0.0013751051,0.00034554233,0.000718397,0.0021782967],"category_scores_gemma":[0.025331499,0.00014934002,0.00022559607,0.0031553046,0.00045746527,0.0016905852,0.00048834377,0.00068582006,0.00080914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004368377,0.00008227699,0.99169695,0.000016168453,0.00006182563,0.00006176122,0.00017129054,0.00045309216,0.00016054958,0.00038204103,0.00032172736,0.006548593],"study_design_scores_gemma":[0.0000025064983,0.00006396525,0.9968405,0.000013488374,0.000016230533,0.00012967554,0.0002883837,0.0013245486,0.00021789009,0.00023678309,0.0008590994,0.0000070394426],"about_ca_topic_score_codex":0.004628411,"about_ca_topic_score_gemma":0.0039891773,"teacher_disagreement_score":0.004628411,"about_ca_system_score_codex":0.00056052936,"about_ca_system_score_gemma":0.00033073177,"threshold_uncertainty_score":0.011781156},"labels":[],"label_agreement":null},{"id":"W2358531935","doi":"","title":"Research on Window-dressing of Fund and Its Influencing Factors ——Evidence from Chinese open-end stock fund market","year":2011,"lang":"en","type":"article","venue":"Science Technology and Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Closed-end fund; Quarter (Canadian coin); Manager of managers fund; Stock (firearms); Business; Stock market; Investment fund; Window (computing); Investment management; Finance; Engineering; Computer science; Geography","score_opus":0.16959063966432733,"score_gpt":0.31194904328155143,"score_spread":0.1423584036172241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358531935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909604,0.0001488251,0.000047294376,0.000050431525,0.000003264591,0.0000052295136,0.00005182188,0.0000012490532,0.00059596583],"genre_scores_gemma":[0.9995408,0.00010845545,0.000041445353,0.000010570385,0.00001169843,0.000002336288,0.00008480823,6.328485e-7,0.00019921812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996171,0.000060380436,0.000057589983,0.0000682684,0.00012543997,0.000071217844],"domain_scores_gemma":[0.9941783,0.00092738005,0.0034201872,0.00029496077,0.00045514858,0.00072409335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008738659,0.0001488416,0.00019067986,0.0011940645,0.00050222327,0.0008292648,0.0002647775,0.00022256696,0.0019429409],"category_scores_gemma":[0.0034211674,0.00010873442,0.0002817481,0.0010274437,0.0003896343,0.00071024214,0.00039484035,0.00033377224,0.00013151296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004616771,0.000048029582,0.9927791,0.000018689303,0.00002993123,0.00011891189,0.0008678289,0.000031177893,0.00041805685,0.00014980894,0.00011979722,0.0053726193],"study_design_scores_gemma":[7.325779e-7,0.0000144140795,0.9991073,0.0000030901742,0.0000072382595,0.00002793696,0.0004814486,0.00008768186,0.000060365473,0.000032280357,0.00017547021,0.0000020320722],"about_ca_topic_score_codex":0.009658999,"about_ca_topic_score_gemma":0.010395027,"teacher_disagreement_score":0.009658999,"about_ca_system_score_codex":0.0003569783,"about_ca_system_score_gemma":0.00041240107,"threshold_uncertainty_score":0.01920557},"labels":[],"label_agreement":null},{"id":"W2361116393","doi":"10.5430/ijfr.v7n3p28","title":"Seasonality Effect on the Vietnamese Stock Exchange","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vietnamese; Seasonality; Stock exchange; Stock market; Stock (firearms); Financial economics; Business; Economics; Monetary economics; Finance; Geography; Statistics; Mathematics","score_opus":0.11373625064885916,"score_gpt":0.34813453440195635,"score_spread":0.23439828375309718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2361116393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99554694,0.00017775317,0.00011916577,0.0001674739,0.000020971755,0.000008615587,0.00029859153,0.000004377833,0.0036560728],"genre_scores_gemma":[0.99857104,0.000091224894,0.00003886813,0.000020008914,0.000013962254,0.000004366876,0.00033210294,0.000002172835,0.00092633255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940133,0.00012359259,0.00005239492,0.00011268613,0.00021897066,0.000090970556],"domain_scores_gemma":[0.99626404,0.0015428185,0.0011362601,0.00018899547,0.00053253915,0.0003354393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088153814,0.00013072904,0.00015403079,0.0005491007,0.00026406054,0.0006620898,0.00014698708,0.00014477318,0.0035162484],"category_scores_gemma":[0.0039206757,0.00005595735,0.00024936374,0.0006533126,0.00022852585,0.00035824432,0.00026268273,0.0003105347,0.00016381609],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016545487,0.00010367112,0.98235804,0.000050905324,0.00009211155,0.00042950283,0.00087898655,0.0006617097,0.00085139676,0.00091166364,0.001238723,0.012257689],"study_design_scores_gemma":[0.0000034792693,0.000067345296,0.9967392,0.000009644279,0.00002360537,0.000043777014,0.0005667761,0.0012287389,0.00023647786,0.00009477955,0.0009817493,0.000004510434],"about_ca_topic_score_codex":0.016543422,"about_ca_topic_score_gemma":0.015012074,"teacher_disagreement_score":0.016543422,"about_ca_system_score_codex":0.00040791987,"about_ca_system_score_gemma":0.0004660164,"threshold_uncertainty_score":0.032894254},"labels":[],"label_agreement":null},{"id":"W2362382287","doi":"","title":"Will Momentum Strategy or Contrarian Strategy Generate Good Performance? An Empirical Research with Open-end Funds","year":2011,"lang":"en","type":"article","venue":"Cai-mao yanjiu","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Contrarian; Sharpe ratio; Momentum (technical analysis); Trading strategy; Economics; Quarter (Canadian coin); Index (typography); Index fund; Econometrics; Panel data; Financial economics; Business; Monetary economics; Institutional investor; Finance; Open-end fund; Computer science; Portfolio","score_opus":0.30889813987246467,"score_gpt":0.33727305907545274,"score_spread":0.02837491920298807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362382287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979081,0.0003792858,0.0004927465,0.00012553185,0.0000049295422,0.000008395389,0.000038460486,0.0000035165606,0.001039097],"genre_scores_gemma":[0.9995908,0.000078642515,0.00008110517,0.000017653903,0.000014117373,0.0000025075576,0.000027846874,0.0000015051853,0.00018594856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914026,0.00032567934,0.00006986906,0.00015537595,0.00015870013,0.0001501209],"domain_scores_gemma":[0.9796514,0.012307405,0.0054757437,0.000858712,0.000821908,0.0008847626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030966806,0.00040359693,0.00058549445,0.000695775,0.00033977765,0.0018285078,0.0003918712,0.00088341907,0.0019468858],"category_scores_gemma":[0.016143752,0.00011766153,0.00048138233,0.0007841521,0.0008915956,0.0022955756,0.0005222271,0.00083554315,0.0003102104],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012315094,0.00053669984,0.95171,0.00010899384,0.00046263685,0.0005495827,0.0008974524,0.0036120748,0.0022137426,0.0045915744,0.0004179464,0.03366783],"study_design_scores_gemma":[0.00007747253,0.0011624794,0.9727721,0.000031622025,0.00039201102,0.00030614107,0.0022097786,0.013580616,0.0025549973,0.0058097923,0.0010658565,0.00003714688],"about_ca_topic_score_codex":0.0013261758,"about_ca_topic_score_gemma":0.00085547543,"teacher_disagreement_score":0.0030966806,"about_ca_system_score_codex":0.0004697438,"about_ca_system_score_gemma":0.00035919587,"threshold_uncertainty_score":0.016377032},"labels":[],"label_agreement":null},{"id":"W2364699575","doi":"10.1093/rof/rfv042","title":"Investors’ Interacting Demand and Supply Curves for Common Stocks","year":2015,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Institute of Management Research, College of Business Administration Seoul National University","keywords":"Economics; Supply and demand; Stock (firearms); Financial crisis; Stock market; Econometrics; Monetary economics; Order (exchange); Financial economics; Microeconomics; Macroeconomics; Finance","score_opus":0.09701870567397,"score_gpt":0.2736670641403701,"score_spread":0.17664835846640012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2364699575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939074,0.00015242779,0.0027659845,0.00017473818,0.0000029479684,0.000010546323,0.000631462,0.000019998086,0.002334482],"genre_scores_gemma":[0.9985372,0.00007119188,0.00033541734,0.000009497193,0.0000030802012,0.0000046177734,0.00038003543,0.0000044693315,0.00065461773],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99980134,0.000044632074,0.000022665161,0.0000509671,0.000043325526,0.000037039947],"domain_scores_gemma":[0.9961682,0.0022595779,0.00084622373,0.00025373278,0.0002909188,0.00018132754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010090701,0.0002196386,0.00042006656,0.0009339182,0.00014496836,0.0010606308,0.00039998296,0.00058324233,0.004930458],"category_scores_gemma":[0.0077992436,0.00036812382,0.00056308147,0.0006215516,0.000316978,0.0013391204,0.0005227248,0.00047088525,0.0005037109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009000353,0.00016009549,0.7069983,0.00032794624,0.0005632025,0.0010295056,0.0010477458,0.17503619,0.017364683,0.045749664,0.0026952706,0.048127346],"study_design_scores_gemma":[0.00005422057,0.00018901382,0.54229736,0.00004391171,0.00011199547,0.0005665431,0.0006551171,0.41595072,0.0019462751,0.03600923,0.0020800089,0.00009559147],"about_ca_topic_score_codex":0.005729195,"about_ca_topic_score_gemma":0.003969409,"teacher_disagreement_score":0.005729195,"about_ca_system_score_codex":0.0007413667,"about_ca_system_score_gemma":0.00021292147,"threshold_uncertainty_score":0.016494036},"labels":[],"label_agreement":null},{"id":"W2365461126","doi":"","title":"Are Returns of Opened End Funds Inflated?——An Analysis of Calendar Effect in the Chinese Stock Markets","year":2006,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Summit; Trading strategy; Economics; Financial economics; Quarter (Canadian coin); Closed-end fund; Econometrics; Empirical evidence; Business; Monetary economics; Geography","score_opus":0.0148358067877296,"score_gpt":0.23241836475648436,"score_spread":0.21758255796875475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2365461126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99861157,0.00029437075,0.00043658438,0.000055659224,0.000008909647,0.00000491529,0.00015223376,0.000013257887,0.000422543],"genre_scores_gemma":[0.9993901,0.00009477061,0.00010561058,0.000010293527,0.000027986634,0.0000022162137,0.00019528961,0.0000038113924,0.00016987279],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921405,0.0001825214,0.000091179754,0.0001611637,0.00020255752,0.0001485463],"domain_scores_gemma":[0.9913118,0.0026798875,0.0044071493,0.0005588721,0.0005050947,0.0005372735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023462656,0.000288514,0.00042887614,0.0018459441,0.00029540993,0.0010660335,0.0004908782,0.0003291075,0.001641318],"category_scores_gemma":[0.0067985426,0.00015966724,0.0006544892,0.0017048613,0.00041732672,0.00087090454,0.0004903287,0.00046613882,0.00020951321],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002413287,0.000036486435,0.98889637,0.000022172942,0.00012195318,0.00034171966,0.00015620646,0.00078676996,0.0011441973,0.00041141067,0.00016754112,0.007673873],"study_design_scores_gemma":[0.0000053783656,0.000058447597,0.99542844,0.0000033561757,0.000060553433,0.00010141372,0.00007273401,0.0034242235,0.0004201993,0.00016133513,0.00025601566,0.000007891396],"about_ca_topic_score_codex":0.0051018316,"about_ca_topic_score_gemma":0.0037014328,"teacher_disagreement_score":0.0051018316,"about_ca_system_score_codex":0.00051967276,"about_ca_system_score_gemma":0.00033363866,"threshold_uncertainty_score":0.012408376},"labels":[],"label_agreement":null},{"id":"W2366186246","doi":"","title":"An Empirical Study of Mutual Fund Herding","year":2010,"lang":"en","type":"article","venue":"Journal of Beijing Normal University","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Herding; Mutual fund; Quarter (Canadian coin); Economics; Econometrics; Imperfect; Financial economics; Business; Absolute deviation; Actuarial science; Finance; Statistics; Geography; Mathematics","score_opus":0.04262324370493691,"score_gpt":0.24798958924882702,"score_spread":0.2053663455438901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366186246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988335,0.00016717757,0.00038209744,0.000065868415,0.0000014274901,0.0000038579446,0.000037417332,0.0000029379662,0.000505847],"genre_scores_gemma":[0.9995782,0.00007433803,0.00015839704,0.000008642062,0.000005277575,0.0000023301802,0.000051981104,5.65816e-7,0.0001202741],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995209,0.00015473558,0.000039242856,0.000091704555,0.0000867973,0.00010668454],"domain_scores_gemma":[0.9913634,0.0032163344,0.004233626,0.00042043545,0.00041365618,0.00035249811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018594584,0.00010568967,0.0002393662,0.0011988658,0.00039271245,0.00045739702,0.0003332918,0.00035482514,0.0011188596],"category_scores_gemma":[0.009845096,0.000099756646,0.0001854058,0.0012773721,0.00052232784,0.001204026,0.00044583954,0.00032989722,0.00009280645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052546406,0.000047388225,0.981614,0.000025765932,0.000070729424,0.00021682725,0.0012990542,0.001105966,0.00039459488,0.0017602446,0.0003532177,0.013059601],"study_design_scores_gemma":[0.0000073710085,0.00013037719,0.98297197,0.000026355494,0.000055748413,0.0003094812,0.002403511,0.011598597,0.0003631466,0.0008972339,0.0012238224,0.00001244034],"about_ca_topic_score_codex":0.006298599,"about_ca_topic_score_gemma":0.0053115026,"teacher_disagreement_score":0.006298599,"about_ca_system_score_codex":0.0005953991,"about_ca_system_score_gemma":0.0002547617,"threshold_uncertainty_score":0.01252389},"labels":[],"label_agreement":null},{"id":"W2374219417","doi":"","title":"An Empirical Study about Window Dressing of Chinese Securities Investment Funds","year":2011,"lang":"en","type":"article","venue":"Journal of Nanchang University","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Closed-end fund; Fund of funds; Business; Quarter (Canadian coin); Unit investment trust; Investment (military); Institutional investor; Open-end fund; Umbrella fund; Finance; Passive management; Economics; Open-ended investment company; Return on investment; Corporate governance","score_opus":0.05787586657168818,"score_gpt":0.24747863522009805,"score_spread":0.18960276864840986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2374219417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999548,0.000047310852,0.00005440115,0.000027295122,0.0000011907895,0.000004639159,0.000023581872,0.0000012643543,0.00029226602],"genre_scores_gemma":[0.99959797,0.000055851135,0.000045636785,0.000008065379,0.000004948054,0.0000028104625,0.00006999966,5.604503e-7,0.00021409072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999371,0.00011462432,0.000080082515,0.00010277054,0.00014555507,0.00018595802],"domain_scores_gemma":[0.9932342,0.001581583,0.0040300973,0.0003814746,0.00031074445,0.0004619855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015086146,0.00020997318,0.0002780845,0.0011276712,0.00050807395,0.0008937926,0.00037320436,0.00043124286,0.001161583],"category_scores_gemma":[0.0074859113,0.00014416044,0.00037554686,0.0013236268,0.00047685462,0.0010570679,0.00041278772,0.00051153504,0.000097005635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102319726,0.00008649098,0.98613656,0.000015767258,0.000030934367,0.0002633562,0.0013236838,0.00029643215,0.00086324,0.0007761773,0.00020641436,0.009898591],"study_design_scores_gemma":[0.0000048103275,0.000053252556,0.99658775,0.000005332215,0.000023184472,0.0000692926,0.0006536382,0.001719753,0.0003841299,0.00017247,0.00031969548,0.000006669834],"about_ca_topic_score_codex":0.012640806,"about_ca_topic_score_gemma":0.012961458,"teacher_disagreement_score":0.012640806,"about_ca_system_score_codex":0.0009870426,"about_ca_system_score_gemma":0.0005958212,"threshold_uncertainty_score":0.025134444},"labels":[],"label_agreement":null},{"id":"W2377103332","doi":"","title":"Risk management in international asset allocation from Chinese perspective","year":2014,"lang":"en","type":"article","venue":"Systems Engineering - Theory & Practice","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedge; Exchange rate; Portfolio; Financial economics; Efficient frontier; Asset allocation; Business; Bond; Stock exchange; Foreign exchange risk; China; Economics; Finance","score_opus":0.007494452701830124,"score_gpt":0.21688351994262797,"score_spread":0.20938906724079784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377103332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7398953,0.0063837143,0.1983767,0.0025334766,0.0000976304,0.000065706736,0.00014568155,0.000058662794,0.052443203],"genre_scores_gemma":[0.9926864,0.0010837816,0.0034024091,0.000039727576,0.000026597892,0.000014343096,0.000020398253,0.000004973789,0.0027214314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99971324,0.000085124804,0.000017821565,0.000052619816,0.00008112548,0.000049988394],"domain_scores_gemma":[0.9998067,0.000051342773,0.00005399547,0.000017036573,0.000048138652,0.000022826847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008700868,0.0004289199,0.00033456428,0.00065270485,0.00039306452,0.0013265219,0.00039893275,0.00035769437,0.0015739197],"category_scores_gemma":[0.0010593655,0.00015019259,0.0004531831,0.0006099188,0.0006539367,0.0012653302,0.00063135807,0.0003583017,0.000074794785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109243905,0.00005166526,0.02307364,0.00015326026,0.00018368548,0.00077982433,0.0008033396,0.3797214,0.005338614,0.5116992,0.0016421481,0.07644395],"study_design_scores_gemma":[0.0000418444,0.00013270111,0.022202222,0.00005896388,0.00016073092,0.0002926483,0.00045879534,0.7197374,0.0023999917,0.24684934,0.007621341,0.000044004297],"about_ca_topic_score_codex":0.009158491,"about_ca_topic_score_gemma":0.0057730083,"teacher_disagreement_score":0.009158491,"about_ca_system_score_codex":0.0016921633,"about_ca_system_score_gemma":0.0012295218,"threshold_uncertainty_score":0.018210351},"labels":[],"label_agreement":null},{"id":"W2385366226","doi":"","title":"CALENDAR EFFECT OF FUND BEHAVIOR AND FUND ACHIEVEMENT","year":2008,"lang":"en","type":"article","venue":"Jingji lilun yu jingji guanli","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exaggeration; Closed-end fund; Profit (economics); Economics; Mean reversion; Business; Income fund; Quarter (Canadian coin); Finance; Fund of funds; Actuarial science; Financial economics; Fund administration; Microeconomics; Psychology; History","score_opus":0.056586295688119174,"score_gpt":0.24944361682367314,"score_spread":0.19285732113555396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385366226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952017,0.00034128802,0.0016863567,0.00021702379,0.000029195458,0.000014149258,0.00039718376,0.000026492342,0.0020866268],"genre_scores_gemma":[0.9985447,0.00007011421,0.00019104203,0.000018041439,0.000018357454,0.000005376763,0.0002286404,0.0000045269026,0.00091916265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988079,0.0003195502,0.00012621393,0.000315852,0.00022200913,0.00020839425],"domain_scores_gemma":[0.98241365,0.008208615,0.0062638177,0.0011495401,0.0007173736,0.0012470847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023990304,0.00020156612,0.00031490176,0.00083894935,0.00030690597,0.0012771033,0.00043103716,0.00038562424,0.0042350427],"category_scores_gemma":[0.018637476,0.00011242036,0.00048121583,0.0009605872,0.00039991722,0.0009148002,0.0006511469,0.0008578357,0.00034829817],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003458233,0.00007494275,0.9854255,0.000025983589,0.00016892281,0.00018789002,0.000277622,0.0011456294,0.0006111495,0.002098397,0.00033888585,0.00929928],"study_design_scores_gemma":[0.000015932748,0.00014108386,0.98812217,0.0000098154505,0.00015586936,0.00015047158,0.00043279998,0.006994403,0.0009659876,0.0016301223,0.0013620057,0.00001928718],"about_ca_topic_score_codex":0.0045642676,"about_ca_topic_score_gemma":0.0034481727,"teacher_disagreement_score":0.0045642676,"about_ca_system_score_codex":0.0004494206,"about_ca_system_score_gemma":0.00031760082,"threshold_uncertainty_score":0.014167607},"labels":[],"label_agreement":null},{"id":"W2397367540","doi":"10.5539/ijef.v8n6p250","title":"Converting TSX 300 Index to S&amp;P/TSX Composite Index: Effects on the Index’s Capitalization and Performance","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Composite index; Index (typography); Equity (law); Capitalization; Economics; Stock exchange; Finance; Computer science","score_opus":0.016766023475159344,"score_gpt":0.206584861664073,"score_spread":0.18981883818891365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397367540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8724993,0.00015612486,0.008719531,0.00047627228,0.0005375603,0.00034233488,0.030284692,0.0028942265,0.08409002],"genre_scores_gemma":[0.91427976,0.00019877416,0.014477673,0.000095583855,0.00009073238,0.00013748792,0.03573226,0.0009792959,0.0340086],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989292,0.000056291185,0.00009228271,0.00010258981,0.0007254923,0.00009419683],"domain_scores_gemma":[0.9943685,0.0008833604,0.00047887798,0.00083402783,0.0030401594,0.0003950425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009329177,0.00042619772,0.0002787848,0.002073866,0.0003908167,0.002531363,0.0004540674,0.00021979112,0.02091178],"category_scores_gemma":[0.01083412,0.0002094401,0.000423867,0.00345562,0.00044512187,0.000724057,0.0006569063,0.0007002615,0.005717167],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002851086,0.00046183803,0.3221368,0.0003433287,0.00025491425,0.0009617814,0.00089762354,0.015947105,0.046466783,0.016879149,0.18628761,0.40651193],"study_design_scores_gemma":[0.000109677894,0.00026320652,0.8616998,0.00002525109,0.000067507724,0.00020759962,0.00040895905,0.022827014,0.04020925,0.0015051193,0.07259288,0.00008377797],"about_ca_topic_score_codex":0.16062081,"about_ca_topic_score_gemma":0.17198421,"teacher_disagreement_score":0.8393792,"about_ca_system_score_codex":0.0026293746,"about_ca_system_score_gemma":0.0024183309,"threshold_uncertainty_score":0.31937176},"labels":[],"label_agreement":null},{"id":"W2398238220","doi":"","title":"Content of Annual Reports as a Predictor for Long Term Stock Price Movements.","year":2015,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Predictive power; Stock (firearms); Stock price; Term (time); Computer science; Predictive value; Econometrics; Classifier (UML); Artificial intelligence; Economics; Engineering; Series (stratigraphy)","score_opus":0.18996357220744603,"score_gpt":0.3416238885804208,"score_spread":0.15166031637297478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398238220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96662873,0.0012551124,0.0045583574,0.00074372237,0.00014638464,0.000054800512,0.021319764,0.00038011168,0.0049129445],"genre_scores_gemma":[0.97571373,0.00047849104,0.0038075359,0.000033634067,0.00024539194,0.000029938219,0.018325258,0.000024276962,0.0013416464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991516,0.00019759289,0.00013836288,0.00014205139,0.00030243924,0.00006788817],"domain_scores_gemma":[0.9691724,0.014576463,0.011036253,0.0017493657,0.002841077,0.000624325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001743045,0.00041436867,0.0002345172,0.007820416,0.00025846486,0.0015814571,0.0004152524,0.0005963672,0.0022500663],"category_scores_gemma":[0.017047131,0.00014866231,0.00023606287,0.005585376,0.00021900852,0.0012603459,0.00040571435,0.00065212935,0.0015783303],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018115106,0.00018671363,0.93205386,0.000095690964,0.00011804092,0.0001424023,0.00011986116,0.0020711701,0.0012154666,0.00042147574,0.004947516,0.05844661],"study_design_scores_gemma":[0.000010218065,0.00013216394,0.96922284,0.00005239955,0.00007986763,0.00022499626,0.00020051662,0.02175033,0.0023687254,0.0006005264,0.005332477,0.000025123363],"about_ca_topic_score_codex":0.0046048528,"about_ca_topic_score_gemma":0.007957782,"teacher_disagreement_score":0.007820416,"about_ca_system_score_codex":0.0004485939,"about_ca_system_score_gemma":0.0004366968,"threshold_uncertainty_score":0.009218216},"labels":[],"label_agreement":null},{"id":"W2398353749","doi":"10.2139/ssrn.2719286","title":"Flights from Stocks","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Geography; Environmental science; Economics; Business; Climatology; Geology","score_opus":0.02918414427829327,"score_gpt":0.20990271378092198,"score_spread":0.1807185695026287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398353749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7550613,0.0012386533,0.0041973493,0.0061693457,0.0011907946,0.000049800183,0.001387936,0.00028886323,0.23041593],"genre_scores_gemma":[0.9807808,0.00033177529,0.0004745236,0.00044529137,0.0001603347,0.0000052432433,0.00040406053,0.000029031882,0.017369002],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99981517,0.000020280942,0.000007700221,0.00002704199,0.00007802073,0.00005168465],"domain_scores_gemma":[0.9994598,0.00009975408,0.000114494556,0.00007638694,0.0001216424,0.00012794003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028429777,0.00023928614,0.0002464212,0.0005633388,0.00069959246,0.0019833983,0.000207765,0.0008426812,0.022149583],"category_scores_gemma":[0.0031978532,0.00012757839,0.00023625742,0.0004129705,0.00032901528,0.0016984652,0.0008117866,0.0009704064,0.0023969098],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013882809,0.00030656936,0.08483759,0.00025372632,0.00031909347,0.0022781708,0.0021723616,0.014499417,0.013924019,0.5082751,0.14692822,0.22481737],"study_design_scores_gemma":[0.00022273976,0.00068614696,0.2149763,0.00028283003,0.00016483947,0.0017764681,0.0059506437,0.05886487,0.0065047527,0.44547132,0.26492676,0.0001723227],"about_ca_topic_score_codex":0.0054815332,"about_ca_topic_score_gemma":0.004262827,"teacher_disagreement_score":0.022149583,"about_ca_system_score_codex":0.0005444395,"about_ca_system_score_gemma":0.00037017284,"threshold_uncertainty_score":0.07409775},"labels":[],"label_agreement":null},{"id":"W2398466974","doi":"10.7232/jkiie.2012.38.4.258","title":"Dynamic Asset Allocation by Applying Regime Detection Analysis","year":2012,"lang":"en","type":"article","venue":"Journal of Korean Institute of Industrial Engineers","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Asset allocation; Asset (computer security); Capital allocation line; Investment (military); Computer science; Investment strategy; Economics; Finance; Microeconomics; Computer security","score_opus":0.02857146724512389,"score_gpt":0.21825119041450114,"score_spread":0.18967972316937726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398466974","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010392409,0.00012810857,0.9881903,0.00006363311,0.00002048516,0.00001926518,0.00001719652,0.00009332114,0.0010753055],"genre_scores_gemma":[0.730844,0.00057812553,0.26495594,0.00012891731,0.0002730334,0.00018462818,0.00017273497,0.000092477145,0.0027700502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994392,0.00023063061,0.000030385736,0.00013475845,0.00010739648,0.000057699785],"domain_scores_gemma":[0.9982792,0.0011369196,0.0002104134,0.0001532163,0.00015837626,0.00006190504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014536177,0.00047057003,0.00091240765,0.0012246397,0.0003657284,0.0008541242,0.00085540744,0.00066692504,0.0017353179],"category_scores_gemma":[0.0049615414,0.00032801335,0.0007039842,0.00064108946,0.0007345039,0.001374284,0.0010108646,0.0009859941,0.00023200629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011214034,0.0001379376,0.005623597,0.000114124414,0.00019389701,0.0002028266,0.00016173533,0.58379686,0.00757403,0.23068888,0.0016813008,0.16971266],"study_design_scores_gemma":[0.000004172373,0.000011073369,0.00030944264,0.0000046736204,0.0000070502833,0.000020194864,0.0000038046703,0.9700566,0.00035254043,0.028783701,0.0004395752,0.000007146403],"about_ca_topic_score_codex":0.0008233284,"about_ca_topic_score_gemma":0.0005919743,"teacher_disagreement_score":0.0017353179,"about_ca_system_score_codex":0.0005270643,"about_ca_system_score_gemma":0.0005582591,"threshold_uncertainty_score":0.0076875687},"labels":[],"label_agreement":null},{"id":"W2400062504","doi":"10.1093/rof/rfx016","title":"Media Coverage and Stock Returns on the London Stock Exchange, 1825–70","year":2017,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Queen's University; Queen's University Belfast","keywords":"Media coverage; Stock (firearms); Stock market; Stock exchange; Financial market; Business; Economics; Monetary economics; Financial economics; Financial system; Finance; Media studies; Geography; Sociology","score_opus":0.07193951391541933,"score_gpt":0.24601936091614154,"score_spread":0.1740798470007222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400062504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95606077,0.013481002,0.00010491453,0.0011686089,0.00011811628,0.000015399442,0.010812571,0.000018550225,0.018220067],"genre_scores_gemma":[0.9820135,0.006037709,0.000055228295,0.000087942695,0.0002750893,0.000008881448,0.0052320203,0.0000066509524,0.0062829102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997327,0.00005151868,0.00004478514,0.00003162245,0.00010318619,0.000036129124],"domain_scores_gemma":[0.99557626,0.00059069414,0.002763864,0.0000904912,0.00071598124,0.0002627039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051796716,0.00020301735,0.00014945655,0.0019650299,0.00010046155,0.0009985175,0.00014234264,0.00025235536,0.003874813],"category_scores_gemma":[0.0035026113,0.000081874416,0.00020161993,0.0022482076,0.00017239885,0.0005132158,0.00040000182,0.00029878397,0.0012497742],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032953566,0.000058618287,0.95806026,0.0003852023,0.00039626446,0.000485042,0.0009440581,0.00043764428,0.00040526775,0.00090562395,0.01043861,0.027153917],"study_design_scores_gemma":[0.0000061568808,0.000031742224,0.99183273,0.00009117187,0.000054032946,0.00012721629,0.00040367377,0.00015990788,0.00014450538,0.000041808773,0.007100039,0.000007008329],"about_ca_topic_score_codex":0.018772002,"about_ca_topic_score_gemma":0.024344625,"teacher_disagreement_score":0.018772002,"about_ca_system_score_codex":0.00058842,"about_ca_system_score_gemma":0.00019235107,"threshold_uncertainty_score":0.0373255},"labels":[],"label_agreement":null},{"id":"W2401258151","doi":"10.1093/rfs/hht026","title":"Firm Characteristics and Stock Returns: The Role of Investment-Specific Shocks","year":2013,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Predictability; Financial economics; Valuation (finance); Stock (firearms); Profitability index; Volatility (finance); Monetary economics; Systematic risk; Capital asset pricing model; Risk premium; Econometrics; Finance","score_opus":0.038602264624917365,"score_gpt":0.23929449350781545,"score_spread":0.2006922288828981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401258151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97019607,0.021994362,0.0026877339,0.00097199116,0.000022997014,0.000013923462,0.00044829177,0.000016685703,0.0036479577],"genre_scores_gemma":[0.9934314,0.0057898713,0.00019008006,0.00006693764,0.000041042007,0.0000034076113,0.00016253775,0.0000022250115,0.00031241533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969184,0.00011033565,0.000031393636,0.00006642561,0.000057557554,0.000042575237],"domain_scores_gemma":[0.99520445,0.0020450677,0.002115831,0.00020908346,0.00023237067,0.00019323565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090497645,0.0001784657,0.00039128104,0.0009901805,0.000107849766,0.0015691409,0.00025113818,0.0005429397,0.0010039213],"category_scores_gemma":[0.004951215,0.0001413252,0.00026941518,0.0022565543,0.00027969,0.000857356,0.00032380456,0.00048706908,0.0002177505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011384446,0.00010102348,0.94212675,0.00015031955,0.0007526579,0.00034918878,0.00016068933,0.005357693,0.0012013201,0.0067598014,0.0005732315,0.0423534],"study_design_scores_gemma":[0.0000065569207,0.000048743517,0.98902625,0.00005160916,0.00015889524,0.00012737163,0.00014523177,0.003689709,0.00035209613,0.0050191237,0.0013625709,0.0000118062735],"about_ca_topic_score_codex":0.0023864282,"about_ca_topic_score_gemma":0.0025168315,"teacher_disagreement_score":0.0023864282,"about_ca_system_score_codex":0.00032765113,"about_ca_system_score_gemma":0.00020841161,"threshold_uncertainty_score":0.0047860146},"labels":[],"label_agreement":null},{"id":"W2402276427","doi":"10.1007/s11156-016-0580-2","title":"Sources of time varying return comovements during different economic regimes: evidence from the emerging Indian equity market","year":2016,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Spillover effect; Equity (law); Emerging markets; Interest rate; Monetary economics; Portfolio; Financial economics; Stock market; Stock (firearms); Dividend; Inflation (cosmology); Macroeconomics; Finance","score_opus":0.04918434482648192,"score_gpt":0.28387052096348736,"score_spread":0.23468617613700543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402276427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974044,0.0005918824,0.0004760605,0.000109030014,0.0000048386823,0.000005305078,0.00017841154,0.000008914292,0.0012210706],"genre_scores_gemma":[0.999079,0.0004089236,0.00009676757,0.00001246644,0.000015375235,0.0000018041616,0.00024076593,0.0000027845929,0.00014205529],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996333,0.00008549279,0.00004249936,0.000056461013,0.00010354895,0.00007856528],"domain_scores_gemma":[0.99371296,0.0019532184,0.0030235394,0.00038246482,0.00056147535,0.00036631527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010776006,0.00021882422,0.00036000388,0.0018318386,0.00031966862,0.0014272083,0.00035184473,0.0003546689,0.0012058452],"category_scores_gemma":[0.006340111,0.00013797607,0.0004788319,0.002843541,0.00046322795,0.0012508353,0.00079986214,0.00072325947,0.00028007262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003825412,0.00015449652,0.9572182,0.000105435676,0.0003021781,0.00086069555,0.0010687081,0.0024247556,0.0020742044,0.003266642,0.00066118216,0.031480864],"study_design_scores_gemma":[0.000005756123,0.000048816633,0.99235827,0.000012727379,0.00007353482,0.00019939944,0.00066483056,0.0040688366,0.00040899907,0.0014377997,0.00070328574,0.0000177051],"about_ca_topic_score_codex":0.007045281,"about_ca_topic_score_gemma":0.004969384,"teacher_disagreement_score":0.007045281,"about_ca_system_score_codex":0.00034053696,"about_ca_system_score_gemma":0.00022447201,"threshold_uncertainty_score":0.014008522},"labels":[],"label_agreement":null},{"id":"W24029083","doi":"10.2139/ssrn.1556847","title":"What Drives the Value of Analysts' Recommendations: Earnings Estimates or Discount Rate Estimates?","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Earnings; Economics; Value (mathematics); Econometrics; Financial economics; Actuarial science; Business; Accounting; Statistics; Mathematics","score_opus":0.015104499100933626,"score_gpt":0.25053825423594583,"score_spread":0.23543375513501222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W24029083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8670949,0.008905708,0.028983567,0.041519355,0.0009771435,0.00017410889,0.002358684,0.00032944346,0.04965715],"genre_scores_gemma":[0.99317414,0.000857912,0.0039314656,0.00048599532,0.00035154872,0.000013892807,0.00021345764,0.000044794553,0.0009268123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944041,0.0026614598,0.0004979341,0.00081873644,0.0012974321,0.0003204002],"domain_scores_gemma":[0.68119836,0.26200354,0.032816444,0.0054565333,0.01588533,0.002639677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016013054,0.00048159118,0.00062442536,0.0026543543,0.00054133165,0.006849822,0.0012657155,0.0028391057,0.0047831875],"category_scores_gemma":[0.29493767,0.00040382938,0.00036790702,0.0019258483,0.0008859615,0.0068309167,0.00069049967,0.0027550508,0.0012746353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015868936,0.0007089704,0.51284975,0.00094637583,0.0016228069,0.00045516607,0.0025160464,0.025534512,0.0020806713,0.039017174,0.032934867,0.37974685],"study_design_scores_gemma":[0.0005770727,0.0007558095,0.4498053,0.001743488,0.0017114119,0.00075343536,0.0076238965,0.31322464,0.007356543,0.18537144,0.030608535,0.00046839766],"about_ca_topic_score_codex":0.007756083,"about_ca_topic_score_gemma":0.008563884,"teacher_disagreement_score":0.016013054,"about_ca_system_score_codex":0.0013321673,"about_ca_system_score_gemma":0.0013399816,"threshold_uncertainty_score":0.08468616},"labels":[],"label_agreement":null},{"id":"W2408070525","doi":"","title":"Intensity Based Information Share","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Price discovery; Econometrics; Contrast (vision); Database transaction; Autoregressive model; Economics; Transaction cost; Measure (data warehouse); Transaction data; Financial economics; Computer science; Microeconomics; Data mining; Artificial intelligence; Database","score_opus":0.012854689527523135,"score_gpt":0.1923031686616603,"score_spread":0.17944847913413717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408070525","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08505649,0.0012984812,0.88478345,0.001957083,0.000115698094,0.00016882979,0.0011161794,0.00054213137,0.02496163],"genre_scores_gemma":[0.94483423,0.00088311575,0.04919985,0.00029558083,0.00041598675,0.00020485421,0.0006268735,0.00019145603,0.0033480683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9883096,0.0022042347,0.00088562095,0.0023423533,0.0052538854,0.0010043285],"domain_scores_gemma":[0.9301529,0.041998014,0.009214877,0.012261799,0.0050725974,0.0012997686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008406881,0.0011356102,0.002226407,0.004872362,0.000951343,0.0059817107,0.00456119,0.0025742878,0.006844578],"category_scores_gemma":[0.0567869,0.0009007495,0.001681346,0.004387922,0.00417907,0.019703114,0.0051914463,0.003282025,0.0015148405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030518285,0.00016301616,0.010108297,0.00023346576,0.00022427936,0.00034051583,0.0005896646,0.06181707,0.0046099396,0.860318,0.0022973667,0.05899318],"study_design_scores_gemma":[0.000046281333,0.00018528306,0.004839802,0.000111921654,0.00015001303,0.0006740657,0.0001414512,0.35966742,0.006036866,0.62190276,0.006094455,0.00014974973],"about_ca_topic_score_codex":0.0010035789,"about_ca_topic_score_gemma":0.00036950453,"teacher_disagreement_score":0.008406881,"about_ca_system_score_codex":0.0026725268,"about_ca_system_score_gemma":0.001216209,"threshold_uncertainty_score":0.044460356},"labels":[],"label_agreement":null},{"id":"W2414532600","doi":"10.2139/ssrn.817306","title":"Timeliness of Analysts' Forecasts: The Informational Role of Follower Analysts","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Consensus forecast; Business; Accounting; Actuarial science; Econometrics; Economics","score_opus":0.008511545834625928,"score_gpt":0.19696351787868252,"score_spread":0.1884519720440566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2414532600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97072035,0.0013366122,0.006187004,0.0039480217,0.00012353469,0.0000131141105,0.0010655146,0.00009940757,0.01650642],"genre_scores_gemma":[0.99812824,0.0003127289,0.00040658755,0.000089714275,0.00019944453,0.0000033927918,0.00022709588,0.00001722187,0.0006155722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870217,0.000452782,0.00011560555,0.0002728736,0.00035042208,0.000106192005],"domain_scores_gemma":[0.77160126,0.17023508,0.041566547,0.006764566,0.007544721,0.0022877795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005908063,0.00023477158,0.00046682474,0.0015625487,0.00044652727,0.003435246,0.0006346884,0.0015410916,0.0050305207],"category_scores_gemma":[0.11936136,0.00032221526,0.00029986896,0.0013038005,0.00045100183,0.004772871,0.0006864645,0.0015946523,0.0009951185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003421511,0.00038390886,0.7587604,0.00019614038,0.0005843553,0.000883765,0.0040046973,0.022217931,0.004823972,0.019857323,0.021358673,0.16350724],"study_design_scores_gemma":[0.00014031788,0.0005763203,0.83815783,0.00011866405,0.00047285913,0.0007262943,0.0021794077,0.099213555,0.0047451276,0.04583152,0.0076472564,0.0001908707],"about_ca_topic_score_codex":0.0027500298,"about_ca_topic_score_gemma":0.002827329,"teacher_disagreement_score":0.005908063,"about_ca_system_score_codex":0.00058843376,"about_ca_system_score_gemma":0.00047181596,"threshold_uncertainty_score":0.031245172},"labels":[],"label_agreement":null},{"id":"W2417676298","doi":"10.1111/eufm.12093","title":"The Ex‐dividend Day Behaviour of REITs: Tax or Market Microstructure Effects","year":2016,"lang":"en","type":"article","venue":"European Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Dividend; Economics; Monetary economics; Market microstructure; Stock (firearms); Tick size; Financial economics; Econometrics; Market liquidity; Finance","score_opus":0.012738244930341671,"score_gpt":0.19088038772170982,"score_spread":0.17814214279136814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2417676298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968119,0.000070669295,0.0008938184,0.00007224851,0.000005227838,0.000004556811,0.000055854725,0.00001355733,0.0020721902],"genre_scores_gemma":[0.9995357,0.000020290418,0.00010415979,0.000007824853,0.0000057257407,9.3399757e-7,0.00002258572,0.0000026550388,0.0003001489],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998691,0.000025427196,0.0000110631445,0.000028587174,0.000033783428,0.000032014406],"domain_scores_gemma":[0.9974463,0.00070883986,0.0011338544,0.00031956713,0.000255891,0.00013558824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007328511,0.00014784523,0.0002388879,0.00035486592,0.00014368698,0.00086063164,0.00026515193,0.00033005455,0.0024323866],"category_scores_gemma":[0.005025838,0.00014274444,0.00018132679,0.0002762016,0.00040824348,0.00070437643,0.00026237138,0.00048535498,0.00023774384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001725944,0.0005650766,0.80618817,0.00009957884,0.00022455081,0.0008951172,0.0007438318,0.04124748,0.05730244,0.047444995,0.0016395221,0.041923285],"study_design_scores_gemma":[0.000029082863,0.0001686443,0.8779025,0.000015371847,0.000041578463,0.00021726551,0.00018287984,0.10154785,0.009242084,0.009486541,0.0011242756,0.000041885713],"about_ca_topic_score_codex":0.0023295835,"about_ca_topic_score_gemma":0.0018908026,"teacher_disagreement_score":0.0024323866,"about_ca_system_score_codex":0.0004570065,"about_ca_system_score_gemma":0.00014114905,"threshold_uncertainty_score":0.008137107},"labels":[],"label_agreement":null},{"id":"W2418529907","doi":"10.2139/ssrn.2787531","title":"Idiosyncratic Jump Risk Matters: Evidence from Equity Returns and Options","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Simon Fraser University","funders":"","keywords":"Equity (law); Economics; Jump; Financial economics; Systematic risk; Econometrics; Actuarial science; Political science","score_opus":0.04361383627495219,"score_gpt":0.26625394693618587,"score_spread":0.22264011066123368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418529907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98617977,0.0031061273,0.00062496855,0.0019973204,0.000024536248,0.0000075832504,0.00025714908,0.000012809881,0.007789814],"genre_scores_gemma":[0.99716264,0.0012465304,0.00010576906,0.00019896735,0.00008528783,0.000002678731,0.00024125431,0.000008594269,0.00094838266],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941754,0.0001746126,0.00005149753,0.00012374722,0.00014691464,0.00008576568],"domain_scores_gemma":[0.92561,0.055667423,0.011755824,0.0035512669,0.0013867838,0.0020286727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034386413,0.00033157185,0.0005860053,0.00097179686,0.0006613586,0.0028787872,0.0011245592,0.0019840836,0.013462569],"category_scores_gemma":[0.03529436,0.00033192767,0.0006082539,0.0014453015,0.0019760383,0.0030761212,0.0012525164,0.0022620934,0.0011269008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005526119,0.0013896378,0.8764676,0.0003845527,0.0014329446,0.0014607268,0.0021097478,0.0023212694,0.0021155747,0.021452883,0.0035823015,0.08175662],"study_design_scores_gemma":[0.00039682467,0.0005122756,0.9530072,0.000114689596,0.00091322523,0.00057944725,0.0013104691,0.0020319961,0.0010543863,0.03600737,0.0040228055,0.000049247283],"about_ca_topic_score_codex":0.0025512255,"about_ca_topic_score_gemma":0.0023830633,"teacher_disagreement_score":0.013462569,"about_ca_system_score_codex":0.0002192921,"about_ca_system_score_gemma":0.00022705505,"threshold_uncertainty_score":0.045036793},"labels":[],"label_agreement":null},{"id":"W2421822479","doi":"10.1080/21649502.2015.1165905","title":"The bond-stock earnings yield differential model: additional applications and other models for stock market crash prediction","year":2016,"lang":"en","type":"article","venue":"Quantitative Finance Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council","keywords":"Earnings yield; Econometrics; Earnings; Economics; Price–earnings ratio; Crash; Stock (firearms); Stock price; Stock market; Financial economics; Earnings per share; Computer science; Finance; Engineering; Series (stratigraphy); Geology","score_opus":0.048199652719528675,"score_gpt":0.23786357608060033,"score_spread":0.18966392336107166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2421822479","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3692833,0.0049772,0.59249693,0.007920401,0.00063328166,0.00018977407,0.003454191,0.0007103513,0.020334553],"genre_scores_gemma":[0.9302688,0.0039588315,0.04049719,0.0005673864,0.0012426184,0.00015626817,0.0020337517,0.00010821924,0.02116681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973506,0.00010639037,0.000019347724,0.000056916473,0.000044950073,0.000037384696],"domain_scores_gemma":[0.9983865,0.0010209848,0.00018345806,0.00012343367,0.00019402921,0.00009165072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020203586,0.0011183381,0.0011278415,0.0010097851,0.0004949199,0.0013557877,0.0017769142,0.001461169,0.0058974894],"category_scores_gemma":[0.005538612,0.00038260128,0.0012511748,0.0015079819,0.00045627786,0.0019538046,0.0012605721,0.0023214412,0.00079008134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001350166,0.00036689246,0.021538528,0.000109410095,0.0002394714,0.00030231196,0.0001301827,0.8255417,0.0007480203,0.086435564,0.008547142,0.055905752],"study_design_scores_gemma":[0.000013177134,0.000024434936,0.001108434,0.0000069671446,0.000017738605,0.000018659968,0.00000977879,0.985008,0.00006320393,0.01269844,0.0010198827,0.000011222979],"about_ca_topic_score_codex":0.015103295,"about_ca_topic_score_gemma":0.0113239195,"teacher_disagreement_score":0.015103295,"about_ca_system_score_codex":0.0006192228,"about_ca_system_score_gemma":0.0006170263,"threshold_uncertainty_score":0.030030727},"labels":[],"label_agreement":null},{"id":"W2422147476","doi":"10.1080/21649502.2015.1165893","title":"The bond-stock earnings yield model for stock market crash prediction: the basic idea and early applications","year":2016,"lang":"en","type":"article","venue":"Quantitative Finance Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council","keywords":"Earnings yield; Bond; Earnings; Stock (firearms); Crash; Economics; Financial economics; Stock market; Yield curve; Stock market crash; Econometrics; Bond valuation; Yield (engineering); Monetary economics; Earnings per share; Price–earnings ratio; Finance; Computer science; Engineering; Geography","score_opus":0.043594317932561494,"score_gpt":0.2375708823131854,"score_spread":0.1939765643806239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2422147476","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056452926,0.008438311,0.92211103,0.0023488018,0.00024466604,0.00010578255,0.0007406787,0.00023265318,0.00932521],"genre_scores_gemma":[0.888973,0.011722652,0.078072004,0.00038863948,0.00088473305,0.00036152708,0.0010923307,0.00009604446,0.018409008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966526,0.00014264068,0.00002072505,0.00007220768,0.000059539332,0.000039554317],"domain_scores_gemma":[0.9988349,0.00072433817,0.0001231647,0.00006205029,0.00018501772,0.00007062052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020059529,0.0014424443,0.001138648,0.0008546896,0.00036258923,0.0014306273,0.0020779546,0.0015356796,0.0030529988],"category_scores_gemma":[0.0056163445,0.00064699334,0.0009255423,0.0010720697,0.0007623745,0.0024130463,0.0012943329,0.0024112025,0.0007028087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114473354,0.00009839689,0.010162763,0.00017592842,0.00015302634,0.0003142185,0.00014772784,0.63543516,0.0010053122,0.30137473,0.0038494435,0.047168896],"study_design_scores_gemma":[0.000012614424,0.000035951813,0.0006897,0.000026444864,0.00002083998,0.000040366347,0.000015274214,0.9223576,0.0001326496,0.07478353,0.0018660682,0.000018999988],"about_ca_topic_score_codex":0.0073997,"about_ca_topic_score_gemma":0.0031257726,"teacher_disagreement_score":0.0073997,"about_ca_system_score_codex":0.00084245607,"about_ca_system_score_gemma":0.0007009429,"threshold_uncertainty_score":0.014713287},"labels":[],"label_agreement":null},{"id":"W2426679289","doi":"","title":"Price Discovery in the Cross Listed Stock Market: Revisiting the Case of Canadian Stocks Listed in the United States","year":2016,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Sample (material); Currency; Business; Monetary economics; Financial economics; Stock exchange; Economics; Accounting; Finance; Geography","score_opus":0.041008622473594825,"score_gpt":0.2702202192840088,"score_spread":0.22921159681041398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2426679289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96534157,0.00489214,0.00033759724,0.0038559083,0.000043419277,0.000038751827,0.00064026465,0.000016263764,0.024834134],"genre_scores_gemma":[0.994429,0.003116843,0.00046603207,0.0002764202,0.00003600456,0.0000034485208,0.0003584665,0.0000058111177,0.0013080841],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987387,0.00006810779,0.000049205388,0.00008341979,0.00070659054,0.00035395287],"domain_scores_gemma":[0.9938963,0.0016655036,0.0013679406,0.00026842926,0.0023290499,0.00047277418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013009798,0.00032272557,0.0004200543,0.006446367,0.0048568733,0.004431091,0.0012091887,0.0012392463,0.0016585838],"category_scores_gemma":[0.009279001,0.00022163015,0.00050386455,0.009065817,0.0019986625,0.0021731341,0.0015443689,0.0011527187,0.00013758129],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002387707,0.00014766782,0.8621665,0.00024136694,0.00014066193,0.018106056,0.02024981,0.002500338,0.0015571512,0.018117456,0.00912691,0.06740736],"study_design_scores_gemma":[0.000023198956,0.00004531561,0.91035646,0.00024236055,0.00022957969,0.0047025247,0.039424803,0.008604811,0.0013665238,0.002688789,0.032195173,0.00012054948],"about_ca_topic_score_codex":0.97329336,"about_ca_topic_score_gemma":0.9850542,"teacher_disagreement_score":0.026706636,"about_ca_system_score_codex":0.020871866,"about_ca_system_score_gemma":0.015619496,"threshold_uncertainty_score":0.15143669},"labels":[],"label_agreement":null},{"id":"W2442793735","doi":"10.7202/1092097ar","title":"Immunization Bounds, Time Value and Non-Parallel Yield Curve Shifts","year":2007,"lang":"en","type":"article","venue":"Assurances et gestion des risques","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Social Sciences and Humanities Research Council; Simon Fraser University","funders":"","keywords":"Convexity; Mathematics; Yield curve; Value (mathematics); Immunization; Generality; Yield (engineering); Portfolio; Applied mathematics; Mathematical economics; Statistics; Economics; Interest rate; Finance; Medicine","score_opus":0.02956039128975996,"score_gpt":0.23885285064697198,"score_spread":0.20929245935721202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2442793735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4852848,0.010813768,0.44846797,0.003945973,0.00030856766,0.00009865501,0.0005335875,0.0004178316,0.05012888],"genre_scores_gemma":[0.9847007,0.0016182311,0.0064748656,0.00011499794,0.00015410676,0.000042541862,0.00021718488,0.00007244707,0.006604901],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99883705,0.00028218998,0.000050760424,0.00027115594,0.00029177612,0.0002671232],"domain_scores_gemma":[0.96996415,0.020574886,0.0055888444,0.0013526229,0.0013450354,0.001174481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033521294,0.0006518,0.0007373024,0.0013995944,0.00042110734,0.0018534352,0.001096916,0.0012808504,0.008566609],"category_scores_gemma":[0.04174219,0.00040005406,0.00080137997,0.0011246615,0.0021505796,0.0044102413,0.0021538702,0.0024047913,0.0007114598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009191192,0.00019994787,0.015034773,0.00028482397,0.00012666335,0.0010041534,0.00047337433,0.1996902,0.007995563,0.69435465,0.0060379514,0.07387878],"study_design_scores_gemma":[0.00004456535,0.00017556065,0.012182067,0.000062293286,0.000066926936,0.00060546974,0.00014913344,0.30123624,0.0030846682,0.6776328,0.004678681,0.00008164882],"about_ca_topic_score_codex":0.0017449113,"about_ca_topic_score_gemma":0.0004911375,"teacher_disagreement_score":0.008566609,"about_ca_system_score_codex":0.0016543147,"about_ca_system_score_gemma":0.00060390565,"threshold_uncertainty_score":0.028658211},"labels":[],"label_agreement":null},{"id":"W24505603","doi":"10.1038/nj7486-121a","title":"Distilling the information in S&P500 delistings 1","year":2003,"lang":"en","type":"article","venue":"Nature","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Index (typography); Nationality; Shadow (psychology); Econometrics; Economics; Business; Monetary economics; Computer science; Political science; Psychology; World Wide Web","score_opus":0.013463022617509717,"score_gpt":0.20060124306682628,"score_spread":0.18713822044931655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W24505603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99425656,0.000086720414,0.0004901751,0.00028936786,0.000009664618,0.000010971528,0.00033681723,0.000010890852,0.0045087677],"genre_scores_gemma":[0.99868184,0.000041303014,0.00015294123,0.00003110961,0.0000117787695,0.000003117315,0.00034151538,0.0000036970346,0.0007327861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995459,0.00007391206,0.00003662256,0.00008883761,0.0001432623,0.00011148738],"domain_scores_gemma":[0.9873269,0.0056036753,0.005526556,0.0004225187,0.0007496959,0.0003706333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010005025,0.00016878436,0.0003169372,0.0007141413,0.0003282167,0.001357126,0.00034444738,0.0007547336,0.0037433626],"category_scores_gemma":[0.013509762,0.00015075243,0.00016202741,0.0010007828,0.0005127256,0.0011621021,0.00068407453,0.0011421987,0.00064606045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015937727,0.00055034994,0.9017128,0.00009902733,0.00013546551,0.00083741266,0.001690754,0.013310165,0.0063780793,0.009525006,0.0037908256,0.060376324],"study_design_scores_gemma":[0.00003220054,0.00033855284,0.9677449,0.000024889981,0.00005421571,0.00019173209,0.0017276215,0.018440763,0.0027832587,0.0043541477,0.004262235,0.000045563647],"about_ca_topic_score_codex":0.008278231,"about_ca_topic_score_gemma":0.011293818,"teacher_disagreement_score":0.008278231,"about_ca_system_score_codex":0.00071974896,"about_ca_system_score_gemma":0.00028036305,"threshold_uncertainty_score":0.016460061},"labels":[],"label_agreement":null},{"id":"W245337225","doi":"10.1515/jbvela-2013-0022","title":"Effect of Liquidity on Size Premium and its Implications for Financial Valuations","year":2014,"lang":"en","type":"article","venue":"Journal of Business Valuation and Economic Loss Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dalhousie University","keywords":"Value premium; Market liquidity; Fair value; Liquidity premium; Economics; Capital asset pricing model; Financial economics; Equity (law); Liquidity risk; Market capitalization; Capitalization; Market value; Cost of equity; Fair market value; Monetary economics; Cost of capital; Stock market; Finance; Microeconomics","score_opus":0.0351226923467456,"score_gpt":0.26756353173750763,"score_spread":0.23244083939076204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W245337225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9625771,0.0010626423,0.00930597,0.004087138,0.000115102805,0.00005686949,0.00024525286,0.00011907182,0.022431001],"genre_scores_gemma":[0.9987863,0.00005703783,0.00036178104,0.00015269298,0.000052822503,0.0000055802507,0.00003161234,0.000010732279,0.00054154056],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960188,0.0013522059,0.000285275,0.00056288607,0.0013782947,0.0004025043],"domain_scores_gemma":[0.79750675,0.14815757,0.034927234,0.008358906,0.0066630673,0.0043864767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00808095,0.00037778498,0.00047749095,0.0011459569,0.00050158455,0.002952891,0.0009109618,0.0009792154,0.011078292],"category_scores_gemma":[0.101985954,0.00016636208,0.00056119915,0.0006962018,0.0023574089,0.004614524,0.0020808706,0.0022184302,0.0006227452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024162023,0.0009400082,0.8618799,0.00018415583,0.00027756253,0.0013845752,0.0016497856,0.010273185,0.010317007,0.045481656,0.0028526243,0.06234343],"study_design_scores_gemma":[0.00011066546,0.0007960819,0.92192745,0.00012048912,0.00021924032,0.000516084,0.0013989118,0.0128553305,0.0056788977,0.05479783,0.0014747236,0.00010433224],"about_ca_topic_score_codex":0.0029092445,"about_ca_topic_score_gemma":0.0019896717,"teacher_disagreement_score":0.011078292,"about_ca_system_score_codex":0.0014835127,"about_ca_system_score_gemma":0.0007684196,"threshold_uncertainty_score":0.04273665},"labels":[],"label_agreement":null},{"id":"W2461767213","doi":"10.1108/qrfm-08-2015-0034","title":"Following momentum and avoiding the “Minsky Moment” evidence from investors on the Financial Instability Hypothesis","year":2016,"lang":"en","type":"article","venue":"Qualitative Research in Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia","keywords":"Momentum (technical analysis); Investment (military); Economics; Originality; Value (mathematics); Financial market; Finance; Financial economics; Sociology; Qualitative research; Law","score_opus":0.3167222597703852,"score_gpt":0.3846298904026818,"score_spread":0.0679076306322966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461767213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96533096,0.0006357175,0.0028910807,0.004199112,0.000026781174,0.000031484095,0.000027793545,0.000005328056,0.026851658],"genre_scores_gemma":[0.99912006,0.00013148497,0.0002485153,0.00020622891,0.0000065538093,0.000007768026,0.000005747076,0.0000019789836,0.00027171872],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99465996,0.0034389491,0.00034254175,0.0003076701,0.00073613116,0.00051475386],"domain_scores_gemma":[0.9122283,0.062238336,0.019267254,0.0016552039,0.0031627635,0.0014480193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011381485,0.00019725178,0.00021082294,0.0011042367,0.0018244036,0.003703952,0.00060702063,0.0010032357,0.0037829767],"category_scores_gemma":[0.050930034,0.00024553493,0.00014771179,0.0007524366,0.007922167,0.0051082154,0.002416505,0.0010876008,0.00018337759],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008328974,0.00021892773,0.38743922,0.0006799628,0.00009382864,0.0018923024,0.42041004,0.0006664958,0.0019109827,0.105253324,0.0024148044,0.07818722],"study_design_scores_gemma":[0.0000808426,0.0003399364,0.22026244,0.0014889351,0.000116634365,0.0009944449,0.6811897,0.0026621765,0.003040669,0.060645167,0.02907208,0.00010701297],"about_ca_topic_score_codex":0.0037739126,"about_ca_topic_score_gemma":0.0033114862,"teacher_disagreement_score":0.011381485,"about_ca_system_score_codex":0.0017803616,"about_ca_system_score_gemma":0.001855982,"threshold_uncertainty_score":0.06019181},"labels":[],"label_agreement":null},{"id":"W2462150473","doi":"10.3390/jrfm9020006","title":"Down-Side Risk Metrics as Portfolio Diversification Strategies across the Global Financial Crisis","year":2016,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; National Science Council","keywords":"Diversification (marketing strategy); Portfolio; Investment strategy; Economics; Financial crisis; Financial economics; Portfolio optimization; Efficient frontier; Asset allocation; Investment style; Market timing; Econometrics; Business; Finance; Return on investment; Macroeconomics; Microeconomics; Marketing; Profit (economics); Market liquidity","score_opus":0.014216243159009993,"score_gpt":0.2256116557915834,"score_spread":0.21139541263257342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462150473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98097426,0.0010284311,0.014234545,0.00017633908,0.000012166176,0.000049516602,0.00007385921,0.000039707953,0.0034112786],"genre_scores_gemma":[0.99616385,0.00012419253,0.003374096,0.000020218074,0.000007523049,0.000012609843,0.00005282992,0.0000067259357,0.00023793777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986719,0.0007062108,0.00008992112,0.00016242909,0.00027848475,0.00009111256],"domain_scores_gemma":[0.99100786,0.00562391,0.0018694253,0.0005956904,0.0006288133,0.00027427968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005708876,0.00079993956,0.0005942542,0.0014743052,0.00023348443,0.0015659312,0.00041516832,0.0006137333,0.00065037754],"category_scores_gemma":[0.02228897,0.00016339333,0.00045948633,0.00091896864,0.0006796009,0.0022162148,0.0011697604,0.0008053512,0.00008253541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015380693,0.0004915543,0.2658814,0.00032121406,0.0007901628,0.00064661953,0.0010283752,0.41249844,0.014907777,0.039669547,0.0016044079,0.2606224],"study_design_scores_gemma":[0.00008675571,0.002331148,0.26015162,0.00012219742,0.00028366674,0.0004875913,0.00077233213,0.69332206,0.009425349,0.030824788,0.0020781674,0.00011436594],"about_ca_topic_score_codex":0.00078105304,"about_ca_topic_score_gemma":0.00082124455,"teacher_disagreement_score":0.005708876,"about_ca_system_score_codex":0.00058721635,"about_ca_system_score_gemma":0.0002691215,"threshold_uncertainty_score":0.03019178},"labels":[],"label_agreement":null},{"id":"W2463788907","doi":"10.5539/ijef.v8n7p159","title":"Assessing the Impact of S&amp;P SL20 Index Construction on Listed Companies in Colombo Stock Exchange (CSE)","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capitalization-weighted index; Abnormal return; Stock exchange; Stock market index; Index (typography); Stock market; Stock (firearms); Event study; Economics; Financial economics; Econometrics; Monetary economics; Business; Finance; Computer science; Geography","score_opus":0.05734538842449066,"score_gpt":0.2905926678746044,"score_spread":0.23324727945011375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463788907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976199,0.00011932273,0.00011978208,0.00007060958,0.000010821208,0.000015757067,0.00037667982,0.000013913827,0.0016531158],"genre_scores_gemma":[0.99849224,0.0000956703,0.00019961319,0.000015694264,0.0000122735055,0.000008833954,0.00076081726,0.0000029993935,0.00041188233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870706,0.00023570447,0.00013141744,0.00015994944,0.00058498204,0.00018079605],"domain_scores_gemma":[0.9910505,0.0038802093,0.0030251858,0.00032149616,0.0010269115,0.00069575757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001641432,0.00034405637,0.00023390801,0.0017056331,0.0002795932,0.0011355149,0.00038611807,0.0003767975,0.0012655787],"category_scores_gemma":[0.008273222,0.00010753972,0.00047934795,0.001199112,0.00039292776,0.0006525667,0.0006216493,0.00046350205,0.00021117502],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037234652,0.00012356062,0.9813999,0.00005731342,0.00010525348,0.0005513718,0.0002689116,0.0025510956,0.0016406209,0.0002875732,0.0007157625,0.01192618],"study_design_scores_gemma":[0.0000072149564,0.00049065216,0.99121946,0.000016363956,0.00004211396,0.00012342182,0.0004462278,0.005450225,0.0013059443,0.000079888465,0.00080381887,0.000014587003],"about_ca_topic_score_codex":0.019745272,"about_ca_topic_score_gemma":0.024046501,"teacher_disagreement_score":0.019745272,"about_ca_system_score_codex":0.0010249297,"about_ca_system_score_gemma":0.00068182644,"threshold_uncertainty_score":0.039260685},"labels":[],"label_agreement":null},{"id":"W2465614687","doi":"10.2139/ssrn.2310805","title":"Less is More: Evidence from International Asset Pricing Models","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Université Laval","funders":"","keywords":"Capital asset pricing model; Financial economics; Business; Economics; Actuarial science","score_opus":0.040618722091183654,"score_gpt":0.23365419875946616,"score_spread":0.19303547666828252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465614687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91882867,0.009252594,0.008502621,0.009206178,0.00024987114,0.00003223208,0.001205515,0.00014191344,0.052580412],"genre_scores_gemma":[0.9927214,0.0032040346,0.000760932,0.0005219221,0.00015938278,0.000012933178,0.0008521421,0.000085594154,0.0016816244],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988158,0.00053667463,0.000079170306,0.00026465236,0.0001948001,0.00010889957],"domain_scores_gemma":[0.9389366,0.04506859,0.008207192,0.004512703,0.0019171489,0.0013577545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066024135,0.0009546503,0.0014625111,0.0014979837,0.0010432712,0.0049357624,0.0023890985,0.001865338,0.02193934],"category_scores_gemma":[0.03809496,0.00044932766,0.0012126063,0.003706251,0.0030816698,0.0054979683,0.0018316783,0.003156391,0.0023060795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012030886,0.002855763,0.44005248,0.0015813659,0.00402775,0.0010234306,0.0063411286,0.049354143,0.0012569907,0.26114693,0.04109852,0.17923062],"study_design_scores_gemma":[0.002463127,0.001365968,0.29371375,0.0010727493,0.0051422208,0.0012564461,0.0075402055,0.11559876,0.0026433067,0.5268425,0.04195399,0.000406949],"about_ca_topic_score_codex":0.0066323606,"about_ca_topic_score_gemma":0.003036898,"teacher_disagreement_score":0.02193934,"about_ca_system_score_codex":0.00070589245,"about_ca_system_score_gemma":0.00042719202,"threshold_uncertainty_score":0.07339442},"labels":[],"label_agreement":null},{"id":"W2466013099","doi":"10.7603/s40570-016-0005-6","title":"Volume-Synchronised Probability of Informed Trading on Chinese Index Futures: A Comparative Approach1","year":2016,"lang":"en","type":"article","venue":"China Accounting and Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Futures contract; Index (typography); High-frequency trading; Econometrics; Database transaction; Futures market; Business; Financial economics; Algorithmic trading; Economics; Actuarial science; Computer science","score_opus":0.03724295762344873,"score_gpt":0.24996231610991376,"score_spread":0.21271935848646503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466013099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99286956,0.00046320973,0.003624131,0.000108294524,0.000016012917,0.000015700922,0.00041743295,0.000026391344,0.0024592099],"genre_scores_gemma":[0.99891293,0.00009009049,0.0005572564,0.0000056329545,0.000021554804,0.000004149117,0.00025254025,0.0000027767428,0.00015317486],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878246,0.00046866725,0.00008942717,0.00022782778,0.0003435497,0.00008809264],"domain_scores_gemma":[0.980327,0.013549628,0.0026105538,0.0011170072,0.0021018921,0.00029390614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005851211,0.0003448902,0.0004804811,0.0056053833,0.00033810543,0.0015550368,0.0005843226,0.0005487404,0.001963936],"category_scores_gemma":[0.019082667,0.00014599267,0.00057125714,0.0031222354,0.0009139791,0.002172182,0.0008012556,0.0005517382,0.00014411523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005307117,0.000103147635,0.8774372,0.00018115598,0.00053890265,0.0004954757,0.00093852385,0.050400138,0.0016306659,0.011749291,0.0010342812,0.054960452],"study_design_scores_gemma":[0.000021866823,0.00028395565,0.72107184,0.000044978937,0.00024008393,0.00014815465,0.000724878,0.26897052,0.0014506666,0.0056106937,0.0013485925,0.00008376041],"about_ca_topic_score_codex":0.010418516,"about_ca_topic_score_gemma":0.0055343146,"teacher_disagreement_score":0.010418516,"about_ca_system_score_codex":0.0010301818,"about_ca_system_score_gemma":0.0004702297,"threshold_uncertainty_score":0.030944526},"labels":[],"label_agreement":null},{"id":"W2469757024","doi":"10.2139/ssrn.2667882","title":"Social Capital and Asset Prices: The Fragility of Small Teams","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Fragility; Social capital; Asset (computer security); Business; Financial economics; Financial fragility; Capital (architecture); Economics; Monetary economics; Finance; Sociology; Macroeconomics; Geography; Financial crisis; Computer science; Social science","score_opus":0.029009004590065442,"score_gpt":0.2210508992263174,"score_spread":0.19204189463625196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469757024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854351,0.00055928127,0.0033076426,0.0034048965,0.000026398919,0.000008506098,0.00019471961,0.000017135693,0.007046311],"genre_scores_gemma":[0.9992995,0.00009841388,0.000058955455,0.000024871135,0.000016853066,0.000002714,0.000022137327,0.000001942674,0.00047464474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995616,0.00014923506,0.000014352061,0.00007099723,0.00006289694,0.0001409215],"domain_scores_gemma":[0.9886568,0.006179841,0.0026100436,0.00068966555,0.0005080948,0.001355454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013432731,0.0001854882,0.00035921606,0.0007854915,0.0008044588,0.0029772636,0.0008417054,0.0016926313,0.009924773],"category_scores_gemma":[0.018303607,0.0002349953,0.00026805187,0.00087088597,0.0017692577,0.0037653188,0.0015011915,0.0014448122,0.0004720197],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015700842,0.00044231684,0.4690474,0.0001571463,0.0005447228,0.0020330416,0.006668478,0.067954056,0.0022597744,0.35790607,0.012065039,0.07935192],"study_design_scores_gemma":[0.00009678097,0.00028817248,0.24651964,0.00008921912,0.00008803868,0.0005307063,0.0060879705,0.11860613,0.00043000805,0.62333065,0.0038543837,0.00007836485],"about_ca_topic_score_codex":0.005744233,"about_ca_topic_score_gemma":0.00471336,"teacher_disagreement_score":0.009924773,"about_ca_system_score_codex":0.00082580186,"about_ca_system_score_gemma":0.00036842082,"threshold_uncertainty_score":0.033201635},"labels":[],"label_agreement":null},{"id":"W2470944044","doi":"10.2139/ssrn.2797308","title":"Time-Varying Crash Risk: The Role of Stock Market Liquidity","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; McMaster University; University of Toronto","funders":"","keywords":"Market liquidity; Stock market crash; Crash; Index (typography); Financial economics; Volatility (finance); Economics; Stock market; Econometrics; Market risk; Monetary economics; Business; Computer science","score_opus":0.009680659591875746,"score_gpt":0.19277154238318553,"score_spread":0.18309088279130978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470944044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819641,0.0040766364,0.0045484365,0.004058053,0.00009160289,0.000012826371,0.00029315916,0.000043865493,0.004911307],"genre_scores_gemma":[0.9984591,0.00061263284,0.000087434826,0.0000377695,0.00007341352,0.0000018562718,0.00004574025,0.0000054572597,0.0006765789],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997999,0.00006422806,0.000011978657,0.00004552697,0.000018737619,0.000059581318],"domain_scores_gemma":[0.9920615,0.005241072,0.0014519045,0.00026803184,0.0003365857,0.0006408904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012681372,0.0003417383,0.00046008633,0.0006706288,0.00027477514,0.002738818,0.0006752512,0.0015194648,0.006202923],"category_scores_gemma":[0.013966141,0.00022455891,0.00039430225,0.0006387128,0.00067457167,0.0021270127,0.0006878784,0.0018149819,0.0004115553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026317071,0.0008287244,0.6690144,0.0003367824,0.0009973315,0.0051867445,0.0012681956,0.08207742,0.010057189,0.12982415,0.010628709,0.08714865],"study_design_scores_gemma":[0.00018955054,0.00050749,0.55710816,0.000103494145,0.0007477137,0.0013517123,0.0016042768,0.32866895,0.0013089181,0.10479797,0.0034521348,0.00015970404],"about_ca_topic_score_codex":0.0037925201,"about_ca_topic_score_gemma":0.0027806207,"teacher_disagreement_score":0.006202923,"about_ca_system_score_codex":0.00030780848,"about_ca_system_score_gemma":0.00035588758,"threshold_uncertainty_score":0.02075088},"labels":[],"label_agreement":null},{"id":"W2474757176","doi":"10.2466/03.07.pr0.107.6.877-887","title":"Effects of Daylight-Saving Time Changes on Stock Market Volatility: A Comment","year":2010,"lang":"en","type":"letter","venue":"Psychological Reports","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto; York University","funders":"","keywords":"Stock market; Econometrics; Stock (firearms); Anxiety; Volatility (finance); Economics; Ordinary least squares; Psychology; Names of the days of the week; Daylight; Behavioral economics; Psychiatry; Geography; Microeconomics","score_opus":0.032711453900259826,"score_gpt":0.2507880814567872,"score_spread":0.2180766275565274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474757176","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008287922,0.0007549838,0.00013793516,0.9888932,0.00821916,0.000008280302,0.000122753,0.00005338612,0.0009813982],"genre_scores_gemma":[0.007905211,0.0010344529,0.00029973668,0.9624804,0.025951298,0.00003897259,0.000038397728,0.000026199641,0.0022252921],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9962747,0.0009398663,0.0006181253,0.0006663583,0.0012359406,0.00026489698],"domain_scores_gemma":[0.9737169,0.018616585,0.0014535447,0.0010829057,0.004395059,0.0007349814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059898077,0.0009753463,0.001261229,0.00071730587,0.0023373899,0.0020920068,0.0035016462,0.03924692,0.0053667338],"category_scores_gemma":[0.040087048,0.000541156,0.0013841394,0.0010461021,0.0027495616,0.0031073608,0.0012384139,0.029581463,0.006462005],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012591008,0.000055771903,0.0018375642,0.000099140874,0.00002485507,0.0009771757,0.0002699744,0.000097904864,0.0002978846,0.0028428808,0.9791301,0.014240816],"study_design_scores_gemma":[0.00033279884,0.00035135815,0.0142483255,0.00062008115,0.00011820474,0.0036146548,0.0010919258,0.001750087,0.0017834704,0.021644972,0.95425993,0.00018405137],"about_ca_topic_score_codex":0.011277914,"about_ca_topic_score_gemma":0.010894858,"teacher_disagreement_score":0.03924692,"about_ca_system_score_codex":0.0039661583,"about_ca_system_score_gemma":0.0024995855,"threshold_uncertainty_score":0.031677485},"labels":[],"label_agreement":null},{"id":"W2475066954","doi":"10.1080/13504851.2016.1197361","title":"A panel data robust instrumental variable approach: a test of the new Fama-French five-factor model","year":2016,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Sherbrooke; University of Ottawa; Institute on Governance","funders":"","keywords":"Panel data; Econometrics; Instrumental variable; Generalized method of moments; Capital asset pricing model; Profitability index; Hausman test; Economics; Factor analysis; Market liquidity; Fixed effects model; Mathematics; Statistics; Finance","score_opus":0.0642090772731195,"score_gpt":0.18417465406732025,"score_spread":0.11996557679420075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475066954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5580294,0.0015069853,0.40765324,0.0057083075,0.0005092693,0.0005243203,0.0066982876,0.0009820136,0.01838818],"genre_scores_gemma":[0.9545063,0.0003873834,0.037132315,0.0009807606,0.00032482174,0.00040920306,0.0043181814,0.00010434245,0.0018365919],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98235023,0.013025231,0.0006020843,0.001872884,0.0014403048,0.00070931646],"domain_scores_gemma":[0.83311033,0.13684279,0.010163074,0.014557045,0.004036382,0.0012904957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025812918,0.0010585145,0.0021524788,0.0018076126,0.0010839981,0.0024637652,0.003430952,0.0023215837,0.011329403],"category_scores_gemma":[0.11403034,0.00037770576,0.0024504482,0.0023581558,0.0016339149,0.0026370636,0.002559433,0.002329783,0.0012114259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029707681,0.0014525203,0.19825377,0.00090453,0.0075551327,0.0025135423,0.0022881818,0.21204002,0.0018046686,0.3647166,0.03644236,0.16905789],"study_design_scores_gemma":[0.0013245726,0.0011404285,0.07855851,0.00029404575,0.0013767519,0.00038996513,0.001825722,0.76307327,0.0018914982,0.13022564,0.01966516,0.0002343539],"about_ca_topic_score_codex":0.010932269,"about_ca_topic_score_gemma":0.0026795785,"teacher_disagreement_score":0.025812918,"about_ca_system_score_codex":0.00086624967,"about_ca_system_score_gemma":0.0016863173,"threshold_uncertainty_score":0.13651341},"labels":[],"label_agreement":null},{"id":"W2476260217","doi":"","title":"Improving Asset Pricing Models By Expanding the Set of Test Portfolios","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Capital asset pricing model; Econometrics; Economics; Test (biology); Asset (computer security); Set (abstract data type); Consumption-based capital asset pricing model; Business cycle; Computer science; Macroeconomics","score_opus":0.017317324754490045,"score_gpt":0.21056865766678284,"score_spread":0.1932513329122928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2476260217","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12515683,0.00087467843,0.8656441,0.00082114106,0.00007108434,0.00019987304,0.0005507778,0.0017347023,0.00494684],"genre_scores_gemma":[0.7284535,0.00076195825,0.2663146,0.00041961155,0.00021664714,0.00027594273,0.0019359316,0.00020048591,0.0014213102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99509937,0.003256907,0.0003183898,0.00054321915,0.0006281554,0.000153991],"domain_scores_gemma":[0.9338894,0.052318342,0.0028349361,0.008237686,0.0020850925,0.000634553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016314778,0.0017533345,0.002093976,0.0030833036,0.0005337099,0.0029640053,0.0021519596,0.0017052678,0.004509992],"category_scores_gemma":[0.07606766,0.000930625,0.0014053114,0.001827562,0.00069398497,0.005401979,0.0032010437,0.0029802322,0.0015988133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003673241,0.00070192176,0.04347954,0.00018256859,0.0007375285,0.00037977207,0.00013258735,0.6087377,0.0038284007,0.025670994,0.004133946,0.31164768],"study_design_scores_gemma":[0.000070225506,0.00016190442,0.0038018983,0.00003354074,0.00009620435,0.00010233958,0.00002462743,0.9507222,0.0010337627,0.04260671,0.0013137499,0.000032763986],"about_ca_topic_score_codex":0.0014182188,"about_ca_topic_score_gemma":0.0012482776,"teacher_disagreement_score":0.016314778,"about_ca_system_score_codex":0.00048072272,"about_ca_system_score_gemma":0.0009469778,"threshold_uncertainty_score":0.086281836},"labels":[],"label_agreement":null},{"id":"W2477422858","doi":"10.5539/ijms.v8n4p155","title":"Research on the Structure of Valuation Effects: A Comparative Analysis Based on the Developed and Emerging Market Countries","year":2016,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Emerging markets; Valuation (finance); Equity (law); Valuation effects; Economics; Stock market; Variance decomposition of forecast errors; Financial economics; Business; Econometrics; Monetary economics; Finance","score_opus":0.10248482957082518,"score_gpt":0.35654212089638304,"score_spread":0.2540572913255579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477422858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909471,0.0011554041,0.0026909795,0.00010672765,0.000013456412,0.000014782134,0.00044653084,0.000009754827,0.004615234],"genre_scores_gemma":[0.9986588,0.00031301094,0.00023418588,0.000008298613,0.000008448257,0.0000032193864,0.0005729153,0.0000027591523,0.00019836637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993119,0.00024660426,0.00005595376,0.00013650884,0.00013134388,0.00011752792],"domain_scores_gemma":[0.99518764,0.0024454494,0.0011145736,0.00044474355,0.0006181361,0.00018948734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002104365,0.00018223085,0.00035667943,0.0018289646,0.00023296877,0.0013473576,0.0002718644,0.00019491068,0.0016314586],"category_scores_gemma":[0.004951795,0.00011868063,0.00093223393,0.0024251875,0.00037539977,0.001052709,0.0005488058,0.0004922661,0.00015305921],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019698087,0.00006937605,0.94179654,0.00009667093,0.00076089724,0.0005716335,0.0006679416,0.011383278,0.0007181949,0.011404326,0.0007930294,0.031541068],"study_design_scores_gemma":[0.000012959352,0.00014887509,0.9798504,0.000046571764,0.00022645084,0.00021218866,0.00089336594,0.013548279,0.00046773997,0.0022481312,0.0023269788,0.000018044637],"about_ca_topic_score_codex":0.0037578624,"about_ca_topic_score_gemma":0.002740142,"teacher_disagreement_score":0.0037578624,"about_ca_system_score_codex":0.0003560014,"about_ca_system_score_gemma":0.0003136643,"threshold_uncertainty_score":0.011129141},"labels":[],"label_agreement":null},{"id":"W2478390755","doi":"10.1002/9781119202516.ch24","title":"Force Confirmations, Not Trades: Nick Fenton, @nickfenton","year":2012,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Action (physics); Position (finance); Capital (architecture); Quarter (Canadian coin); Volume (thermodynamics); Business; Economics; Microeconomics; Finance; History","score_opus":0.04363383640157444,"score_gpt":0.22304963354564109,"score_spread":0.17941579714406664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478390755","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021000619,0.017644962,0.0042721536,0.16686603,0.018687768,0.000057103316,0.00048070803,0.0012503042,0.7886409],"genre_scores_gemma":[0.005124895,0.0030987407,0.0005515817,0.0073829005,0.0008933727,0.000017084782,0.00008472584,0.00024755407,0.98259914],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994836,0.00008215428,0.000021647793,0.000106532134,0.00024894075,0.00005708669],"domain_scores_gemma":[0.998828,0.00032192565,0.00007669534,0.00005315901,0.00038806506,0.000332247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066275394,0.0005456164,0.00029988697,0.0008950905,0.0020355522,0.0031595146,0.0005626024,0.002239765,0.23486604],"category_scores_gemma":[0.002868473,0.00030407246,0.00011908205,0.00068372744,0.0010887022,0.0049652336,0.001331996,0.0019591965,0.11910473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049886103,0.00000516382,0.00012724639,0.000016203148,3.0391104e-7,0.000024531302,0.00010388619,0.000010947602,0.000060642007,0.0048111333,0.9676908,0.027143976],"study_design_scores_gemma":[0.0000010243875,0.0000034171303,0.00018369927,0.00004040737,3.157637e-7,0.00008582677,0.00020017478,0.000035685473,0.000089617744,0.0009926306,0.99836355,0.0000035539852],"about_ca_topic_score_codex":0.0058359564,"about_ca_topic_score_gemma":0.018756691,"teacher_disagreement_score":0.23486604,"about_ca_system_score_codex":0.0013794682,"about_ca_system_score_gemma":0.0009699168,"threshold_uncertainty_score":0.78570515},"labels":[],"label_agreement":null},{"id":"W2481275966","doi":"10.1057/978-1-137-39095-0_15","title":"Investment Strategies Using Options on ETFs","year":2016,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Liberian dollar; Quarter (Canadian coin); Equity (law); Alternative investment; Monetary economics; Popularity; Business; Financial economics; Asset (computer security); Emerging markets; Frontier; Volatility (finance); Economics; Finance; Market liquidity; Geography","score_opus":0.05598596178848912,"score_gpt":0.23689073138512307,"score_spread":0.18090476959663393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481275966","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052222017,0.014723376,0.110639416,0.00569249,0.00033503087,0.00007265452,0.00019530833,0.00023548889,0.8158842],"genre_scores_gemma":[0.64877313,0.014666067,0.03955498,0.00051500805,0.0002694624,0.00010905659,0.00022690925,0.00012258522,0.29576284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99971133,0.000109513596,0.000016755353,0.000036570753,0.000096069605,0.000029654902],"domain_scores_gemma":[0.99974054,0.00010343302,0.00004247952,0.000036932972,0.0000409769,0.000035646633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006921455,0.0005090786,0.00022074986,0.0006840957,0.00033637157,0.003416956,0.000494319,0.00077547156,0.015673768],"category_scores_gemma":[0.0018969435,0.00014289425,0.0003001922,0.0007730622,0.0010326584,0.0030954634,0.00095038133,0.00080368295,0.0021176098],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001862278,0.000012343525,0.00040128976,0.00003957873,0.000009780571,0.00008837346,0.0001770679,0.006130483,0.00031809334,0.9159919,0.0052623786,0.07155021],"study_design_scores_gemma":[0.000011042939,0.000030861363,0.0005325277,0.00018347419,0.000008703179,0.00015224317,0.00018018561,0.0165193,0.00041300515,0.8421792,0.13977577,0.000013782327],"about_ca_topic_score_codex":0.0009809227,"about_ca_topic_score_gemma":0.0013903196,"teacher_disagreement_score":0.015673768,"about_ca_system_score_codex":0.0009788931,"about_ca_system_score_gemma":0.00050024595,"threshold_uncertainty_score":0.052433968},"labels":[],"label_agreement":null},{"id":"W2483074266","doi":"10.1142/9789814417358_others06","title":"Section F. Dynamic Portfolio Theory and Asset Allocation","year":2013,"lang":"en","type":"book-chapter","venue":"World Scientific handbook in financial economic series","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Section (typography); Portfolio; Black–Litterman model; Asset (computer security); Economics; Computer science; Mathematical economics; Financial economics; Replicating portfolio; Portfolio optimization; Computer security","score_opus":0.014785359266506233,"score_gpt":0.1978351799725743,"score_spread":0.18304982070606807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483074266","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026300482,0.13151187,0.0747454,0.010350423,0.021398563,0.00011893375,0.0018143362,0.00045380622,0.75697666],"genre_scores_gemma":[0.03658769,0.111708745,0.0152792595,0.0031045785,0.02258055,0.00023708893,0.0022554228,0.0005150523,0.80773157],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99979764,0.00002987505,0.00001043538,0.000046847766,0.00009169137,0.000023475823],"domain_scores_gemma":[0.99965847,0.00012924381,0.00003316041,0.000035294055,0.00011157164,0.00003236779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004156233,0.0011006901,0.000769473,0.0016472294,0.00052110135,0.0022086839,0.00073766086,0.001377589,0.067464],"category_scores_gemma":[0.0013871448,0.0002847041,0.0004528005,0.0019388406,0.0007040922,0.0020118342,0.0005777706,0.0015667254,0.029294936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013924631,0.00005264803,0.00022940035,0.00027989343,0.000010830696,0.000053382846,0.00005263558,0.0016014169,0.0006182809,0.30880338,0.5072382,0.18104607],"study_design_scores_gemma":[0.000005010703,0.000022240425,0.00054462557,0.00027080823,0.000009060068,0.00020679069,0.00003285211,0.0012152732,0.00034771953,0.24572137,0.7516124,0.000011782505],"about_ca_topic_score_codex":0.0014953648,"about_ca_topic_score_gemma":0.0013530067,"teacher_disagreement_score":0.067464,"about_ca_system_score_codex":0.0013218347,"about_ca_system_score_gemma":0.001036069,"threshold_uncertainty_score":0.22568953},"labels":[],"label_agreement":null},{"id":"W2483779290","doi":"10.4018/978-1-60960-848-4.ch009","title":"Decimalization of Stock Exchanges","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Tick size; Stock exchange; High-frequency trading; Financial economics; Market maker; Business; Flash trading; Stock (firearms); Decimal; Algorithmic trading; Stock market; Dark liquidity; Economics; Finance; Geography; Mathematics","score_opus":0.05512735357008023,"score_gpt":0.22109113302785324,"score_spread":0.16596377945777302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483779290","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2676366,0.029236909,0.04141875,0.0053122346,0.0011495675,0.00009494995,0.0005346702,0.0005311624,0.6540851],"genre_scores_gemma":[0.88253385,0.012884551,0.018291093,0.00060935924,0.0006906776,0.000046862875,0.00040711852,0.00010418581,0.08443233],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996928,0.000072432995,0.00003087708,0.000053074138,0.0001203261,0.000030462192],"domain_scores_gemma":[0.99945253,0.00019751767,0.00009920594,0.00013859145,0.00007780573,0.000034277662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005376447,0.00029739027,0.00015850905,0.00061438995,0.00027548522,0.0020182896,0.0003283851,0.00028318918,0.008865378],"category_scores_gemma":[0.002228746,0.00012678115,0.0001953237,0.00095875293,0.0006259629,0.00180107,0.00059575815,0.0005685496,0.0013171103],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021571068,0.000070969545,0.0036921191,0.00020130948,0.000012713659,0.00019974477,0.0006817952,0.006655056,0.0054008174,0.49491096,0.014686135,0.47327268],"study_design_scores_gemma":[0.000053817384,0.00029937737,0.020639535,0.00028762603,0.0000335043,0.0017997315,0.00066456205,0.020435609,0.016367124,0.31119505,0.6281609,0.000063141546],"about_ca_topic_score_codex":0.00090031634,"about_ca_topic_score_gemma":0.00091615,"teacher_disagreement_score":0.008865378,"about_ca_system_score_codex":0.0007974063,"about_ca_system_score_gemma":0.0004731951,"threshold_uncertainty_score":0.029657662},"labels":[],"label_agreement":null},{"id":"W2486722287","doi":"10.1080/01621459.2016.1141687","title":"Nonparametric Estimation of the Leverage Effect: A Trade-Off Between Robustness and Efficiency","year":2016,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Econometrics; Estimator; Nonparametric statistics; Economics; Volatility (finance); Implied volatility; Volatility smile; Mathematics; Statistics","score_opus":0.010984284709677019,"score_gpt":0.22597055041475161,"score_spread":0.2149862657050746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2486722287","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01634218,0.0007471007,0.98095644,0.00050063845,0.000042410906,0.000061688675,0.000109945,0.0001826423,0.0010570041],"genre_scores_gemma":[0.68074834,0.0019101234,0.31277025,0.0005630073,0.0008319839,0.00040164604,0.0008600258,0.00023358391,0.0016810264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.985586,0.010588969,0.0006105864,0.0012960718,0.0015916063,0.00032673916],"domain_scores_gemma":[0.776668,0.19422925,0.0074440683,0.018059913,0.0031024627,0.0004962657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02947496,0.0012727403,0.0021328724,0.0026339542,0.0005618165,0.0029274598,0.0029797931,0.0019523769,0.001440218],"category_scores_gemma":[0.18248965,0.00083048537,0.0015240466,0.0023143818,0.0027287588,0.0050353776,0.003959386,0.003311862,0.0003264507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041230867,0.00031231914,0.04944673,0.000644037,0.0018686583,0.0009683269,0.00048393168,0.4052657,0.0054685664,0.2939193,0.002991743,0.23821844],"study_design_scores_gemma":[0.00007005899,0.00015228406,0.008272465,0.00012063757,0.00013820763,0.0003627062,0.00007484637,0.8270341,0.0017891349,0.15973216,0.0021622032,0.00009117628],"about_ca_topic_score_codex":0.0018899235,"about_ca_topic_score_gemma":0.0017892043,"teacher_disagreement_score":0.02947496,"about_ca_system_score_codex":0.0005134088,"about_ca_system_score_gemma":0.0009318303,"threshold_uncertainty_score":0.15588033},"labels":[],"label_agreement":null},{"id":"W2489008977","doi":"10.2139/ssrn.2497060","title":"On Equity Premium and Dividend Growth Predictability: Economic Fundamentals Matter!","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Predictability; Equity premium puzzle; Economics; Equity (law); Dividend; Financial economics; Monetary economics; Risk premium; Finance; Mathematics; Political science","score_opus":0.013982668804768927,"score_gpt":0.21927424504138582,"score_spread":0.2052915762366169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2489008977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5156877,0.06520367,0.025241576,0.29991108,0.0052121934,0.00003107701,0.0018882373,0.0004048607,0.08641971],"genre_scores_gemma":[0.94952863,0.019979194,0.00091764587,0.0107905185,0.008623807,0.00001225845,0.0005007733,0.000118488395,0.00952869],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996977,0.00006571356,0.000014957664,0.00010165585,0.000058801365,0.00006126159],"domain_scores_gemma":[0.988992,0.007124236,0.0018222543,0.00081721565,0.0008144443,0.00042988942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022305483,0.0007447231,0.0012016504,0.00069635175,0.0005399264,0.003632019,0.000829328,0.0027567507,0.02063356],"category_scores_gemma":[0.016069915,0.00032594413,0.00048149296,0.0008074605,0.0018551977,0.007036683,0.0014585345,0.0033830244,0.003450035],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010401536,0.00043439228,0.08844513,0.0007588963,0.0009745783,0.00092044775,0.0006557814,0.0105168,0.0032133416,0.55243546,0.11871876,0.22188626],"study_design_scores_gemma":[0.000111415015,0.000117311625,0.07560232,0.0004378863,0.00036087554,0.00014734973,0.00055557524,0.013644313,0.0010375598,0.8865466,0.021329226,0.00010958053],"about_ca_topic_score_codex":0.0026366976,"about_ca_topic_score_gemma":0.00188671,"teacher_disagreement_score":0.02063356,"about_ca_system_score_codex":0.00038647084,"about_ca_system_score_gemma":0.00053523947,"threshold_uncertainty_score":0.06902611},"labels":[],"label_agreement":null},{"id":"W2494131173","doi":"10.2139/ssrn.2785995","title":"Flights from Stocks","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Economics","score_opus":0.013879186275266776,"score_gpt":0.19131516354490746,"score_spread":0.1774359772696407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494131173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7548189,0.0012595829,0.0043899184,0.0060508866,0.0012114776,0.000051006806,0.0014350776,0.00029379642,0.2304893],"genre_scores_gemma":[0.98073846,0.00033467993,0.0004889192,0.00043228085,0.00016092137,0.0000053268927,0.00041421404,0.000029095429,0.017396068],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999816,0.00002040555,0.000007716005,0.000027208916,0.00007716957,0.000051569725],"domain_scores_gemma":[0.99946636,0.000098414166,0.00011273796,0.00007607541,0.00012013707,0.00012633183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028137577,0.00024119392,0.00024730785,0.0005666996,0.0006972177,0.001963537,0.00020880066,0.00083291,0.022225326],"category_scores_gemma":[0.003159809,0.00012693067,0.00023648007,0.0004147188,0.00032948234,0.0016974402,0.0008057019,0.0009624569,0.0023666385],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013669212,0.00030195754,0.08321575,0.00025500043,0.00031417308,0.0022658377,0.00212825,0.014627965,0.013796438,0.514215,0.1419506,0.22556211],"study_design_scores_gemma":[0.00022090753,0.00067418214,0.21041162,0.00028061494,0.00016330346,0.001796793,0.0058019753,0.060108416,0.0064767296,0.4528685,0.26102576,0.00017113052],"about_ca_topic_score_codex":0.0054968363,"about_ca_topic_score_gemma":0.004248878,"teacher_disagreement_score":0.022225326,"about_ca_system_score_codex":0.00054074737,"about_ca_system_score_gemma":0.00037047453,"threshold_uncertainty_score":0.07435113},"labels":[],"label_agreement":null},{"id":"W2497215209","doi":"10.2139/ssrn.2420799","title":"It's All Overreaction: The Post Earnings Announcement Drift","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Earnings; Post-earnings-announcement drift; Monetary economics; Business; Economics; Accounting; Earnings per share","score_opus":0.013834036369173375,"score_gpt":0.20819576140682142,"score_spread":0.19436172503764804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2497215209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8851906,0.0042176647,0.0044278586,0.03864214,0.002634918,0.000046072,0.0010604743,0.00026080638,0.06351944],"genre_scores_gemma":[0.99063617,0.0005906273,0.0003039399,0.0012777008,0.0009770832,0.000005549933,0.000169875,0.000059840302,0.0059792213],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999413,0.00008687654,0.000048612732,0.000109733664,0.00021437246,0.00012747454],"domain_scores_gemma":[0.9924239,0.0024604807,0.0027713717,0.00066784385,0.0010413597,0.00063516595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002412905,0.00018186148,0.0004140808,0.0006491619,0.0006119658,0.0030858978,0.0004418883,0.0011997134,0.0066729477],"category_scores_gemma":[0.03062708,0.0001436348,0.000205733,0.0008520241,0.0006302867,0.002508801,0.00094954413,0.0019564098,0.0013028727],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019003547,0.0003763413,0.35732397,0.00016502004,0.0002658127,0.0020350716,0.0028749201,0.004823147,0.0054431097,0.08193038,0.09756495,0.4452968],"study_design_scores_gemma":[0.00012180775,0.00041792728,0.8124686,0.00020287174,0.00021241966,0.0016289959,0.003256959,0.015740752,0.0033525676,0.099546075,0.06291147,0.00013953267],"about_ca_topic_score_codex":0.0031658194,"about_ca_topic_score_gemma":0.0021713357,"teacher_disagreement_score":0.0066729477,"about_ca_system_score_codex":0.0006516687,"about_ca_system_score_gemma":0.0007036294,"threshold_uncertainty_score":0.02232325},"labels":[],"label_agreement":null},{"id":"W2498205004","doi":"10.1016/b978-0-12-397874-5.00003-8","title":"International Cross-listings","year":2012,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Globalization; Arbitrage; Market liquidity; Capital market; Financial market; Business; Cross listing; Stock exchange; Financial integration; Price discovery; Stock (firearms); International trade; International economics; Economics; Financial economics; Finance; Market economy; Futures contract; Corporate governance; Geography","score_opus":0.03625494300047978,"score_gpt":0.23798915396540848,"score_spread":0.20173421096492872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2498205004","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046727736,0.008331312,0.0013681585,0.0012947677,0.0030047118,0.000057655638,0.013990275,0.0010757998,0.9662045],"genre_scores_gemma":[0.010562136,0.0031367945,0.0011021397,0.0003399217,0.0006386577,0.00003326228,0.011573065,0.0004812596,0.9721328],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99957424,0.000034522356,0.000034125558,0.0000874809,0.00019561285,0.00007403019],"domain_scores_gemma":[0.998904,0.00010481248,0.00012074708,0.00022257406,0.0004712538,0.00017659829],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005057161,0.0008440848,0.00050552597,0.0063707046,0.000955113,0.003453732,0.0005880385,0.000815296,0.34530908],"category_scores_gemma":[0.00186194,0.0003108167,0.00040883545,0.008898119,0.00026553037,0.00209766,0.0011529948,0.0009800452,0.18744086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006435192,0.00004893564,0.000999586,0.00014894176,0.000010095234,0.000066718385,0.00006280237,0.00022556963,0.00053396885,0.013254252,0.73493624,0.24964854],"study_design_scores_gemma":[0.0000037052532,0.000012611714,0.0030086034,0.00008167393,0.0000042380016,0.0000834321,0.00003752852,0.0001305518,0.00024882704,0.0017857313,0.9945972,0.0000058478063],"about_ca_topic_score_codex":0.004623607,"about_ca_topic_score_gemma":0.0072321505,"teacher_disagreement_score":0.34530908,"about_ca_system_score_codex":0.0008224651,"about_ca_system_score_gemma":0.00084562774,"threshold_uncertainty_score":0.9338371},"labels":[],"label_agreement":null},{"id":"W2498684919","doi":"10.5539/mas.v10n9p218","title":"Studying of the Factors Affecting on the Mutual Fund by Individual Investor in Iran, Malaysia, Turkey and US","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Reputation; Business; Multinomial logistic regression; Transparency (behavior); Selection (genetic algorithm); Actuarial science; Finance; Computer science","score_opus":0.07633292946386873,"score_gpt":0.22151485389894382,"score_spread":0.1451819244350751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2498684919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994758,0.00006588953,0.000023470257,0.000050752937,9.526435e-7,0.0000017302177,0.000013809668,6.058479e-7,0.0003669691],"genre_scores_gemma":[0.99953914,0.00007576382,0.000034888948,0.000007337971,0.000002755279,0.0000010963223,0.000019784615,3.2357661e-7,0.00031898398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995771,0.00012791442,0.000038345905,0.000043833676,0.00010320792,0.00010955028],"domain_scores_gemma":[0.9978219,0.00042768795,0.0012368588,0.000047082907,0.00019180104,0.00027474546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007066187,0.00011539351,0.00012418213,0.0006546432,0.0003415128,0.000582632,0.00014388235,0.00022732475,0.0010037688],"category_scores_gemma":[0.0029907979,0.0000628135,0.00012566554,0.0005425665,0.00021219326,0.00036246667,0.000289907,0.00018472044,0.00012712604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004056848,0.000028935008,0.98998755,0.00001050464,0.0000142936005,0.00017304918,0.0012974463,0.00008676137,0.0002473922,0.00022130922,0.0002226172,0.007669629],"study_design_scores_gemma":[0.0000013403848,0.000033031345,0.9953035,0.000005788787,0.000010632394,0.00019232601,0.0031389417,0.00034400765,0.00020298203,0.000057776324,0.0007053939,0.0000041776266],"about_ca_topic_score_codex":0.0075841933,"about_ca_topic_score_gemma":0.011519931,"teacher_disagreement_score":0.0075841933,"about_ca_system_score_codex":0.00058096816,"about_ca_system_score_gemma":0.0004653027,"threshold_uncertainty_score":0.015080094},"labels":[],"label_agreement":null},{"id":"W2500898656","doi":"10.4018/978-1-60960-848-4.ch010","title":"Internet Banking and Online Trading","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"The Internet; Business; Profitability index; Retail banking; Commerce; Financial system; Finance; Computer science; World Wide Web","score_opus":0.05852798954211181,"score_gpt":0.21605645424845638,"score_spread":0.15752846470634457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2500898656","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074608475,0.18855263,0.0031685021,0.0046804473,0.0010703851,0.000024235223,0.00008793332,0.000060042737,0.794895],"genre_scores_gemma":[0.2743047,0.23478383,0.0036990123,0.005532999,0.0050811265,0.00009027744,0.00032445203,0.00009535861,0.47608823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997416,0.0000716988,0.000013021111,0.00004779742,0.00009203253,0.000033898425],"domain_scores_gemma":[0.99971586,0.00015156911,0.000038314083,0.000027655191,0.000032322452,0.00003434613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020320054,0.00046698557,0.00030672402,0.00096513313,0.00067206356,0.0042263065,0.00037995662,0.0019232085,0.028677037],"category_scores_gemma":[0.00070206873,0.00014341554,0.00019507282,0.0024449667,0.0015011136,0.004238213,0.0009996978,0.0014569708,0.0054397215],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022161932,0.00008372253,0.0008656766,0.00027924642,0.0000065470454,0.00023968065,0.00063033006,0.00047583936,0.000324541,0.6998097,0.051813196,0.24544938],"study_design_scores_gemma":[0.0000071680856,0.000033725173,0.0024202191,0.0006529181,0.0000069506677,0.0009985814,0.0003449654,0.0006366417,0.00015487031,0.23961954,0.7551104,0.000014180418],"about_ca_topic_score_codex":0.0010730068,"about_ca_topic_score_gemma":0.0011683116,"teacher_disagreement_score":0.028677037,"about_ca_system_score_codex":0.000737482,"about_ca_system_score_gemma":0.000610569,"threshold_uncertainty_score":0.09593427},"labels":[],"label_agreement":null},{"id":"W2501263241","doi":"10.5430/ijfr.v7n4p175","title":"Don’t Put All of Your Alums in One Basket: College Admissions Decisions as a Portfolio Choice Problem","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Diversification (marketing strategy); Liberal arts education; Actuarial science; Asset (computer security); Perspective (graphical); Point (geometry); Financial economics; Economics; Business; Marketing; Higher education; Mathematics; Computer science","score_opus":0.17104350734305793,"score_gpt":0.3731801830971169,"score_spread":0.202136675754059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501263241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9668677,0.0005347976,0.017125752,0.006496676,0.00007815563,0.00016400263,0.00050982734,0.00004499277,0.0081781875],"genre_scores_gemma":[0.9827473,0.00044321615,0.0090890555,0.00033104737,0.00011208435,0.00011811436,0.00043047508,0.000018923833,0.0067096897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997832,0.001440755,0.00007044593,0.00027925515,0.0001191243,0.00025847182],"domain_scores_gemma":[0.98442256,0.012740734,0.0009894003,0.00025435493,0.0002292947,0.0013636282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050524687,0.00082561735,0.0017995336,0.0010044896,0.001290418,0.0050914977,0.0018743122,0.003858313,0.014537684],"category_scores_gemma":[0.017299447,0.0009236008,0.00108988,0.0015477254,0.0018451298,0.0033871233,0.0018618831,0.003489257,0.0011084218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037537466,0.004495758,0.17579116,0.00037133254,0.0008247263,0.0021930875,0.001764192,0.49425578,0.0013907129,0.15248413,0.019661695,0.14301367],"study_design_scores_gemma":[0.0006933846,0.00076165673,0.023857942,0.00009741742,0.00019281165,0.00036951146,0.0025544162,0.81873804,0.00044617814,0.14871624,0.003430672,0.0001417626],"about_ca_topic_score_codex":0.009554462,"about_ca_topic_score_gemma":0.008339303,"teacher_disagreement_score":0.014537684,"about_ca_system_score_codex":0.0021256285,"about_ca_system_score_gemma":0.0015696641,"threshold_uncertainty_score":0.048633397},"labels":[],"label_agreement":null},{"id":"W2505815860","doi":"10.1002/9781118709207.ch14","title":"Recent Advances in Old Fixed‐Income Topics: Liquidity, Learning, and the Lower Bound","year":2016,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Context (archaeology); Fixed income; Economics; Econometrics; Arbitrage; Sample (material); Financial economics; Empirical evidence; Bond; Geography; Monetary economics; Finance","score_opus":0.014118104983427438,"score_gpt":0.23037114603555034,"score_spread":0.2162530410521229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2505815860","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008601344,0.84624887,0.02841585,0.02865384,0.0026503168,0.000013917735,0.00027808384,0.00016945993,0.084968306],"genre_scores_gemma":[0.11153249,0.830129,0.012889639,0.0036672526,0.017042214,0.00003365629,0.00046273082,0.00016327674,0.02407982],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99945587,0.0001471644,0.000037344722,0.00014640752,0.00016835626,0.000044966368],"domain_scores_gemma":[0.994553,0.004149129,0.00031839474,0.00029897582,0.00046649575,0.00021387062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016628617,0.0007667617,0.0008206485,0.002509651,0.00067360606,0.0036657196,0.0007765601,0.0016467331,0.011890191],"category_scores_gemma":[0.0067732246,0.00031252165,0.0005408255,0.0049203597,0.0026837038,0.005689162,0.001561382,0.002569994,0.003385554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008016313,0.00007819152,0.0020708777,0.0014342054,0.000037063222,0.00015062084,0.0004612845,0.0028357122,0.0003512326,0.4321011,0.03321684,0.52718276],"study_design_scores_gemma":[0.000010468051,0.000045040077,0.0027010688,0.0011448502,0.000028342882,0.00033423686,0.00044914996,0.005133731,0.00039995552,0.57085955,0.41884655,0.000046995607],"about_ca_topic_score_codex":0.0016502606,"about_ca_topic_score_gemma":0.0012417353,"teacher_disagreement_score":0.011890191,"about_ca_system_score_codex":0.0017120636,"about_ca_system_score_gemma":0.001533495,"threshold_uncertainty_score":0.039776683},"labels":[],"label_agreement":null},{"id":"W2507939896","doi":"10.5539/ijef.v8n9p208","title":"Impact of Engineering Financial Market and Using Financial Derivatives on Financial Analysts Interest: Empirical Study from Amman Stock Exchange –Jordan","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Finance; Likert scale; Financial market; Sample (material); Financial engineering; Business; Diversification (marketing strategy); Simple random sample; Stock market; Financial instrument; Population; Economics; Marketing; Mathematics; Statistics","score_opus":0.05421196733848482,"score_gpt":0.2795019915885033,"score_spread":0.22529002425001848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507939896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989028,0.00012319647,0.000018498487,0.00009075253,0.0000019323793,0.000008301004,0.000028395565,5.5910687e-7,0.000825544],"genre_scores_gemma":[0.99840313,0.0003587253,0.00007835702,0.00008217096,0.000018474251,0.000011151631,0.0001148769,0.0000014559824,0.0009317292],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911994,0.00024468015,0.000092587645,0.00007564225,0.0003188669,0.00014836482],"domain_scores_gemma":[0.9933264,0.002223134,0.0024037326,0.0001556926,0.0010946391,0.0007964397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002097083,0.00028288827,0.0002715204,0.0015415568,0.0007312218,0.001888112,0.00041700798,0.0005709885,0.003122823],"category_scores_gemma":[0.0049183546,0.00023217777,0.00037186034,0.0012182791,0.0006009354,0.0013129985,0.0006499906,0.0009418202,0.00052383484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000791181,0.0011239932,0.98029435,0.0000838123,0.000039888615,0.0007974833,0.007124729,0.00011976043,0.0002472324,0.00031403115,0.00077721046,0.008998354],"study_design_scores_gemma":[0.000009716435,0.00025141123,0.9722374,0.000054843047,0.000033785658,0.00044255186,0.024119092,0.00050149654,0.0002499741,0.000080546575,0.002006285,0.000012868699],"about_ca_topic_score_codex":0.003913647,"about_ca_topic_score_gemma":0.0064445566,"teacher_disagreement_score":0.003913647,"about_ca_system_score_codex":0.0007171725,"about_ca_system_score_gemma":0.0010547538,"threshold_uncertainty_score":0.011090577},"labels":[],"label_agreement":null},{"id":"W2509176742","doi":"","title":"Analysis of the Seasonal Patterns in Aggregate Directors","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Insider; Insider trading; Tobit model; Aggregate (composite); Statistic; Value (mathematics); Anomaly (physics); Econometrics; Ordinary least squares; Economics; Business; Monetary economics; Statistics; Financial economics; Mathematics; Finance; Political science","score_opus":0.030049628237811626,"score_gpt":0.22617758980172303,"score_spread":0.1961279615639114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509176742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99353653,0.00019004436,0.0010498094,0.00010043548,0.000009679011,0.000012183857,0.0016154416,0.000031212865,0.0034546815],"genre_scores_gemma":[0.99721944,0.000081344566,0.00026733178,0.000012482828,0.000015091582,0.000006385176,0.0012878468,0.000005932106,0.0011040849],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995561,0.000060606937,0.000041987365,0.00012004318,0.00012751712,0.00009379809],"domain_scores_gemma":[0.99765694,0.00054805615,0.00097491837,0.00015199657,0.000494192,0.0001739531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062735303,0.00010812707,0.00020377466,0.0014860278,0.00016943499,0.00065693766,0.00019163912,0.00015651215,0.0021031387],"category_scores_gemma":[0.0024493868,0.00008527402,0.00019150268,0.0020860557,0.00012204998,0.00032253057,0.00029622953,0.00020606989,0.00040816565],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001171724,0.000031179967,0.96978205,0.000035736895,0.000058139623,0.00023327307,0.00061389676,0.0011470468,0.0021359378,0.000996412,0.0016153323,0.023233777],"study_design_scores_gemma":[0.0000014073163,0.000029902863,0.992971,0.000005541458,0.000012597496,0.00010024313,0.00050001853,0.003778892,0.00036775047,0.00020330708,0.0020233183,0.0000060695697],"about_ca_topic_score_codex":0.0077561084,"about_ca_topic_score_gemma":0.0103870155,"teacher_disagreement_score":0.0077561084,"about_ca_system_score_codex":0.00035587177,"about_ca_system_score_gemma":0.00021482773,"threshold_uncertainty_score":0.015421927},"labels":[],"label_agreement":null},{"id":"W2510418282","doi":"10.2139/ssrn.2667409","title":"Cash-Flow Timing vs. Discount-Rate Timing: A Decomposition of Mutual Fund Market-Timing Skills","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Fredericton; University of New Brunswick","funders":"","keywords":"Market timing; Cash flow; Mutual fund; Equity (law); Economics; Monetary economics; Investment (military); Business; Econometrics; Finance; Initial public offering","score_opus":0.022702386145584577,"score_gpt":0.24271873576056505,"score_spread":0.22001634961498046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510418282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90892804,0.00024965656,0.069105,0.00032708797,0.000019229004,0.00007818615,0.0003023147,0.00010814929,0.020882307],"genre_scores_gemma":[0.9941797,0.00013004105,0.0023909966,0.00001796725,0.000038324244,0.000020014671,0.00013811901,0.000018541572,0.003066305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996087,0.0000658481,0.000025147403,0.0000661202,0.00008777808,0.0001463573],"domain_scores_gemma":[0.9857889,0.008729615,0.0024886143,0.0006869177,0.00074728124,0.0015586676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023500368,0.0006272843,0.00050920673,0.0016711378,0.00024327576,0.0028140189,0.00065819634,0.0007893919,0.011077665],"category_scores_gemma":[0.021499563,0.00027689055,0.0007223444,0.00081714324,0.0009272665,0.0033239361,0.0012503136,0.0012240227,0.0005737353],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011724918,0.00062082126,0.19527581,0.00030637963,0.0002887917,0.00061015965,0.0019568421,0.09759499,0.018521387,0.50027776,0.0022902829,0.1810844],"study_design_scores_gemma":[0.00012145443,0.000531397,0.23190568,0.00012763675,0.000253768,0.0004604282,0.00062011654,0.41523558,0.0043553673,0.3429649,0.003322435,0.000101310914],"about_ca_topic_score_codex":0.0015963742,"about_ca_topic_score_gemma":0.0010245685,"teacher_disagreement_score":0.011077665,"about_ca_system_score_codex":0.00070137257,"about_ca_system_score_gemma":0.0008800745,"threshold_uncertainty_score":0.037058532},"labels":[],"label_agreement":null},{"id":"W2510956164","doi":"10.5539/ibr.v9n9p176","title":"The Currency Carry Trade: Selection Skill or Behavioral Bias","year":2016,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Bentley University; Nova Southeastern University","keywords":"Economics; Currency; Interest rate parity; Carry (investment); Arbitrage; Monetary economics; Assertion; Financial economics; Finance; Computer science","score_opus":0.20977682332112985,"score_gpt":0.3728946481014518,"score_spread":0.16311782478032194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510956164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859169,0.00058707694,0.004037023,0.0025156764,0.000029929946,0.000008342471,0.00008591777,0.000023330906,0.0067957053],"genre_scores_gemma":[0.9979673,0.00024424083,0.00044004834,0.0003011132,0.00007674363,0.0000033618908,0.000039231254,0.000004614513,0.0009232478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971014,0.00006258698,0.000026000222,0.000092819035,0.00006347221,0.00004495384],"domain_scores_gemma":[0.99044293,0.005294367,0.0025570104,0.0011025299,0.00024230042,0.00036082827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018045625,0.00010932735,0.00031825644,0.0007908322,0.00015290416,0.0014828892,0.00028850604,0.00044699784,0.0035627766],"category_scores_gemma":[0.013950606,0.0001031328,0.00016796683,0.00058318564,0.001862969,0.001799442,0.0005453263,0.0005235254,0.00040304754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000399831,0.00009976994,0.8281039,0.000097789285,0.00017940188,0.0004176929,0.00154329,0.00070645375,0.0037468611,0.04833676,0.0012802128,0.11508812],"study_design_scores_gemma":[0.000028860746,0.00021616662,0.8503447,0.00008781041,0.00010330041,0.00089505984,0.0016353145,0.0086984355,0.0026575094,0.13148531,0.0038124577,0.00003503519],"about_ca_topic_score_codex":0.00079995784,"about_ca_topic_score_gemma":0.0006540312,"teacher_disagreement_score":0.0035627766,"about_ca_system_score_codex":0.00028724954,"about_ca_system_score_gemma":0.0001837632,"threshold_uncertainty_score":0.011918664},"labels":[],"label_agreement":null},{"id":"W2511278447","doi":"10.5539/ijef.v8n9p226","title":"Is Abnormally Large Volume a Clue?","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial economics; Stock (firearms); Econometrics; Technical analysis; Robustness (evolution); Stock market; Economics; Algorithmic trading; Stock trading; Volume (thermodynamics); Business; Geography","score_opus":0.018990203591873946,"score_gpt":0.2138077053114064,"score_spread":0.19481750171953244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511278447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9480924,0.010681668,0.0050843055,0.017035676,0.00080752315,0.000043245967,0.0013054981,0.00016168231,0.01678795],"genre_scores_gemma":[0.99626005,0.0010601424,0.00041071526,0.00078795344,0.00066894497,0.000005776595,0.00023733046,0.000018681574,0.00055035675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815506,0.00035036643,0.0002494351,0.00033250736,0.00064415124,0.00026841657],"domain_scores_gemma":[0.96483374,0.014295896,0.01520687,0.0016405635,0.0021810178,0.0018418563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002030699,0.00028099993,0.00064932153,0.0024941212,0.00044263896,0.0026905227,0.0010600257,0.0018369396,0.0042437566],"category_scores_gemma":[0.046289444,0.0001911546,0.00028242476,0.0020476074,0.001511091,0.0049515674,0.0011757548,0.0013040856,0.0010659203],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011109309,0.000152605,0.9095445,0.00016835672,0.00013247922,0.003039566,0.0009379458,0.00053915527,0.0016142983,0.008621044,0.004410627,0.06972848],"study_design_scores_gemma":[0.00017710477,0.0010917473,0.8387424,0.0007971733,0.00032107998,0.025706911,0.0071774614,0.008259616,0.0055170446,0.074179195,0.03779718,0.00023311574],"about_ca_topic_score_codex":0.0013595361,"about_ca_topic_score_gemma":0.0010744506,"teacher_disagreement_score":0.0042437566,"about_ca_system_score_codex":0.00047844066,"about_ca_system_score_gemma":0.0005240516,"threshold_uncertainty_score":0.014196813},"labels":[],"label_agreement":null},{"id":"W2511612828","doi":"10.1108/mf-10-2015-0282","title":"Returns to buying upward revision and selling downward revision: some preliminary evidence from Canada.","year":2016,"lang":"en","type":"article","venue":"Open Access Institutional Repository at Robert Gordon University (Robert Gordon University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Stock (firearms); Portfolio; Equity (law); Economics; Financial economics; Excess return; Post-earnings-announcement drift; Business; Earnings per share; Accounting","score_opus":0.03972668031262695,"score_gpt":0.23659889040950538,"score_spread":0.19687221009687844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511612828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867801,0.0016161652,0.00018444408,0.00085781177,0.000015036175,0.00004078503,0.0053927326,0.000015755431,0.0050970423],"genre_scores_gemma":[0.99402595,0.0007522632,0.00025780778,0.00013159827,0.000007341179,0.0000058275787,0.0022919765,0.0000070777396,0.0025200252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911577,0.000054468397,0.000033508077,0.00010027237,0.0005320139,0.00016403466],"domain_scores_gemma":[0.9931831,0.000993986,0.0015349949,0.00020788971,0.0033622521,0.00071776105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012026053,0.00045817817,0.0002709249,0.0013112001,0.0017454231,0.0013223893,0.0008849706,0.0003944479,0.00359307],"category_scores_gemma":[0.0074965293,0.00023683954,0.00043230888,0.00350581,0.00067194126,0.00048952055,0.00053843344,0.0006106831,0.00031852175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045867852,0.000084789244,0.9690591,0.00010674643,0.0001072632,0.00021709564,0.0015924091,0.0005083014,0.00032575408,0.0005541451,0.0038497932,0.023135744],"study_design_scores_gemma":[0.000019092213,0.00003630443,0.995394,0.000020141888,0.000045999222,0.000047413614,0.000916587,0.00063286803,0.00017437413,0.00006318407,0.0026318512,0.00001819991],"about_ca_topic_score_codex":0.996358,"about_ca_topic_score_gemma":0.99794275,"teacher_disagreement_score":0.019650891,"about_ca_system_score_codex":0.019650891,"about_ca_system_score_gemma":0.024955913,"threshold_uncertainty_score":0.14257789},"labels":[],"label_agreement":null},{"id":"W2513498833","doi":"10.2139/ssrn.2595933","title":"Risk Reduction and Diversification within Markowitz's Mean-Variance Model: Theoretical Revisit","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Diversification (marketing strategy); Economics; Econometrics; Mathematics; Financial economics; Statistics; Business","score_opus":0.011361166424927457,"score_gpt":0.19627383234819704,"score_spread":0.18491266592326958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513498833","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12812385,0.01220014,0.7818638,0.0125140315,0.00045067052,0.00007179671,0.00011994162,0.00016409748,0.06449172],"genre_scores_gemma":[0.9539124,0.0052952864,0.028044011,0.0005719883,0.0008629627,0.00005983057,0.00004690234,0.00006392048,0.011142721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99843293,0.0007065517,0.00007160208,0.00023145218,0.00035294532,0.00020446419],"domain_scores_gemma":[0.99384165,0.0043170983,0.00065665453,0.00049548165,0.000482913,0.0002061667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004040301,0.0012096346,0.0015893551,0.0013318469,0.00087366404,0.0033805026,0.0021817798,0.0031999256,0.0032943082],"category_scores_gemma":[0.01190371,0.0008756308,0.0020976157,0.0015646555,0.0035159243,0.006209782,0.002406129,0.0038826761,0.00040098952],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016267475,0.000046741457,0.0005762779,0.00006802036,0.000034477875,0.000071313414,0.00012590573,0.039655924,0.00027138405,0.95266783,0.0009833014,0.005482462],"study_design_scores_gemma":[0.00001362275,0.000030746192,0.0004408298,0.000034769368,0.000029779718,0.000098494085,0.00004341461,0.17630665,0.0001450633,0.8216645,0.0011673924,0.000024693954],"about_ca_topic_score_codex":0.0018772287,"about_ca_topic_score_gemma":0.0011604528,"teacher_disagreement_score":0.004040301,"about_ca_system_score_codex":0.0016842257,"about_ca_system_score_gemma":0.00177485,"threshold_uncertainty_score":0.02136743},"labels":[],"label_agreement":null},{"id":"W2514185249","doi":"10.3390/jrfm9030010","title":"On Setting Day-Ahead Equity Trading Risk Limits: VaR Prediction at Market Close or Open?","year":2016,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Bivariate analysis; Univariate; Portfolio; Economics; Equity (law); Vector autoregression; Value at risk; Financial economics; Market risk; Market capitalization; Market portfolio; Risk management; Stock market; Statistics; Multivariate statistics; Finance; Mathematics","score_opus":0.02830348236592312,"score_gpt":0.24049168951434163,"score_spread":0.21218820714841852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514185249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58465755,0.0014956829,0.4071705,0.0020325412,0.00012449613,0.000030949694,0.0002161918,0.00034575563,0.0039263014],"genre_scores_gemma":[0.9914724,0.00044080964,0.0069584106,0.0001172811,0.00014951464,0.000008051311,0.00013659526,0.000029923782,0.0006870627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994041,0.00020553386,0.000027648413,0.00014580664,0.00011770387,0.00009922659],"domain_scores_gemma":[0.98431474,0.0128645515,0.0013611946,0.0004761296,0.0005652788,0.00041817472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003446567,0.00086327584,0.0013890351,0.00073641236,0.000337857,0.0022854644,0.0010757421,0.001408902,0.0011469814],"category_scores_gemma":[0.027363542,0.0005287013,0.00041615838,0.00052152615,0.0011674245,0.0052928748,0.0013634592,0.0023678523,0.00026293882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006961929,0.00029690264,0.02624233,0.00015919298,0.00020763786,0.0005612262,0.00034346778,0.8443275,0.003569634,0.049965955,0.0021137574,0.07151633],"study_design_scores_gemma":[0.0000101174755,0.000051225437,0.002435695,0.000021563741,0.000015599784,0.000037414018,0.00005259829,0.97469115,0.0007949421,0.02169104,0.00017500471,0.00002374293],"about_ca_topic_score_codex":0.0041948375,"about_ca_topic_score_gemma":0.0021496816,"teacher_disagreement_score":0.0041948375,"about_ca_system_score_codex":0.000448484,"about_ca_system_score_gemma":0.0005856666,"threshold_uncertainty_score":0.018227398},"labels":[],"label_agreement":null},{"id":"W2514338335","doi":"10.7202/1037207ar","title":"Liquidité du marché des actions et rendements des fonds mutuels en temps de crise : évidence canadienne","year":2016,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.0818346781534974,"score_gpt":0.25465539474955307,"score_spread":0.17282071659605566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514338335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94121,0.013332992,0.004152153,0.004802757,0.00013013778,0.00006153949,0.0020659296,0.000043363645,0.034201186],"genre_scores_gemma":[0.9877478,0.0026293343,0.00078032305,0.00025526716,0.00008482254,0.00004044722,0.0005451267,0.00002097802,0.007895838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99687296,0.0010466578,0.00025933443,0.0005661233,0.0008637493,0.0003912619],"domain_scores_gemma":[0.9306946,0.038472883,0.022607708,0.0031131518,0.0030204796,0.0020911996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050893943,0.0003192602,0.000676475,0.0022047637,0.0008977738,0.0026160593,0.0008178868,0.0012470001,0.01871428],"category_scores_gemma":[0.04175248,0.00028009346,0.0008355723,0.0030936585,0.0014020302,0.0025463498,0.0019640715,0.0022144914,0.0013394074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019350116,0.00036809614,0.8740588,0.0005383771,0.0011515738,0.00065166596,0.007338181,0.0015082674,0.00035023046,0.035027735,0.003587785,0.07348431],"study_design_scores_gemma":[0.000068866546,0.00043380374,0.93567634,0.0005286451,0.0009022753,0.00056770333,0.0070625586,0.0018406063,0.00089070277,0.016983619,0.034961455,0.00008338824],"about_ca_topic_score_codex":0.027694426,"about_ca_topic_score_gemma":0.022422938,"teacher_disagreement_score":0.9723056,"about_ca_system_score_codex":0.0015981018,"about_ca_system_score_gemma":0.0017382767,"threshold_uncertainty_score":0.0626055},"labels":[],"label_agreement":null},{"id":"W2516919854","doi":"10.5539/res.v8n4p11","title":"The Effect of Put Option Issuing on Risk Adjusted Return","year":2016,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Market liquidity; Abnormal return; Event study; Business; Risk–return spectrum; Sample (material); Stock (firearms); Actuarial science; Economics; Econometrics; Financial economics; Monetary economics; Finance; Engineering; History","score_opus":0.04295537645185621,"score_gpt":0.2620238957423154,"score_spread":0.21906851929045917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516919854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953067,0.0015630202,0.00021208898,0.00028704506,0.000028368882,0.000005606643,0.00018803954,0.000015708212,0.0023934913],"genre_scores_gemma":[0.9986914,0.00037597015,0.000065805434,0.00002166811,0.00004481587,0.0000021016087,0.00020081193,0.000003466074,0.00059410324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992912,0.00017701331,0.00008482004,0.00011207463,0.00021403561,0.00012079135],"domain_scores_gemma":[0.98827106,0.004943346,0.004895957,0.00032352153,0.0008240733,0.0007419896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00128746,0.00022370412,0.0002243877,0.00084104884,0.00015703432,0.0012841228,0.00032030317,0.00048144706,0.0032062256],"category_scores_gemma":[0.01092328,0.00008946964,0.0005675039,0.00094803085,0.00028643513,0.00087088963,0.00031417457,0.00086267764,0.0005276813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005820769,0.00019900469,0.9741858,0.000061032086,0.00017519729,0.00045523548,0.00018012246,0.0010113379,0.0007426673,0.00066565094,0.0005326591,0.021209152],"study_design_scores_gemma":[0.000010744107,0.00026416543,0.9959337,0.000017135992,0.00012029416,0.00016211125,0.0002271351,0.0015839733,0.00050401996,0.00035440346,0.0008104855,0.000011852876],"about_ca_topic_score_codex":0.0028665424,"about_ca_topic_score_gemma":0.002449134,"teacher_disagreement_score":0.0032062256,"about_ca_system_score_codex":0.0003733636,"about_ca_system_score_gemma":0.00042075725,"threshold_uncertainty_score":0.010725856},"labels":[],"label_agreement":null},{"id":"W2516939718","doi":"10.2139/ssrn.2738071","title":"Discrete or Continuous Trading? HFT Competition and Liquidity on Batch Auction Markets","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Market liquidity; Competition (biology); High-frequency trading; Business; Economics; Monetary economics; Microeconomics; Industrial organization","score_opus":0.01497116085320577,"score_gpt":0.20952987222569552,"score_spread":0.19455871137248976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516939718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92497045,0.001250761,0.045995742,0.0039100694,0.00015459713,0.00004875413,0.00030886466,0.00026959495,0.023091108],"genre_scores_gemma":[0.99521023,0.00010323696,0.0009383232,0.00008453345,0.00012127441,0.0000102330405,0.00004121584,0.000017885519,0.0034730514],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99884343,0.000321487,0.00006532413,0.00018560782,0.00015296394,0.00043105628],"domain_scores_gemma":[0.9781753,0.013016509,0.0041664722,0.0010326948,0.0007621451,0.0028468692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032781903,0.0005430823,0.002322306,0.00088761805,0.0011061087,0.0061013745,0.0022870775,0.0032724445,0.021664467],"category_scores_gemma":[0.022750296,0.0006890935,0.0010260185,0.0005512299,0.0037141931,0.00943354,0.0018569255,0.0031284154,0.00084994064],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027851795,0.00060736324,0.009458221,0.00025350315,0.0001476774,0.0013781321,0.00045696239,0.06160897,0.004658297,0.89597374,0.005617237,0.017054677],"study_design_scores_gemma":[0.0006427353,0.00033602928,0.005788273,0.000042561427,0.00006866686,0.00036960258,0.00026547557,0.32188097,0.0006996101,0.6690658,0.0006860509,0.0001543184],"about_ca_topic_score_codex":0.0032129318,"about_ca_topic_score_gemma":0.0019851737,"teacher_disagreement_score":0.021664467,"about_ca_system_score_codex":0.0010647785,"about_ca_system_score_gemma":0.0010246246,"threshold_uncertainty_score":0.0724749},"labels":[],"label_agreement":null},{"id":"W2517382044","doi":"10.2139/ssrn.2109920","title":"High Frequency Trading and End-of-Day Manipulation","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"End-to-end principle; High-frequency trading; Business; Computer science; Algorithmic trading; Computer security; Finance","score_opus":0.024020554975334014,"score_gpt":0.21239525991046587,"score_spread":0.18837470493513186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517382044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9705777,0.0004929075,0.013158246,0.00037465498,0.000039799463,0.000011468093,0.00004837775,0.00005160015,0.01524521],"genre_scores_gemma":[0.9986154,0.00004075321,0.00034484026,0.000018369927,0.000021728412,0.0000020708248,0.000012221474,0.000004240184,0.0009402936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995567,0.00011866597,0.000030609317,0.000087787834,0.00011610771,0.00009014657],"domain_scores_gemma":[0.989881,0.0068015186,0.002019951,0.0007313949,0.00024208787,0.0003240127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065593165,0.00014562826,0.00033246257,0.00039281114,0.0002901412,0.0020156798,0.00033138128,0.00096360204,0.005631394],"category_scores_gemma":[0.011329819,0.0001709792,0.00023155414,0.0002813307,0.0004963798,0.0014974138,0.0006058181,0.0007514102,0.0003720747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005020348,0.0023699445,0.34023443,0.00026535068,0.00051613577,0.005607639,0.0020265507,0.038210016,0.09244148,0.30469748,0.0040753083,0.2045353],"study_design_scores_gemma":[0.0002023288,0.0009894163,0.48060244,0.000057075224,0.00019890249,0.004971128,0.0010848296,0.24558231,0.00964769,0.2522119,0.004314436,0.00013753313],"about_ca_topic_score_codex":0.0003180141,"about_ca_topic_score_gemma":0.00029371117,"teacher_disagreement_score":0.005631394,"about_ca_system_score_codex":0.00022922613,"about_ca_system_score_gemma":0.00013734258,"threshold_uncertainty_score":0.018838882},"labels":[],"label_agreement":null},{"id":"W2517942167","doi":"10.2139/ssrn.2819789","title":"Beyond Risk-Based Portfolios: Balancing Performance and Risk Contributions in Asset Allocation","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"Vlaamse regering; Innoviris; Fonds Wetenschappelijk Onderzoek","keywords":"Download; Computer science; Asset allocation; Asset (computer security); Risk management; World Wide Web; Business; Computer security; Portfolio; Finance","score_opus":0.006020395297733729,"score_gpt":0.19594691725315225,"score_spread":0.1899265219554185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517942167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34942064,0.012154758,0.5881144,0.010030595,0.0004082285,0.00009256898,0.00012850584,0.00023675646,0.03941355],"genre_scores_gemma":[0.9818973,0.0014353648,0.013995029,0.00018850634,0.0002591278,0.000016260534,0.000030132145,0.00003907345,0.0021391462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99590486,0.0023601146,0.00018763862,0.00035709538,0.0009160514,0.00027427543],"domain_scores_gemma":[0.97373646,0.0186181,0.002498447,0.0021529703,0.001919594,0.0010744476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0116471145,0.0011720635,0.0013890999,0.0012274962,0.0005193489,0.0054295715,0.0014299497,0.0024901086,0.0031658977],"category_scores_gemma":[0.060323242,0.0003762557,0.00047037445,0.0011831755,0.001728255,0.009787013,0.002809246,0.0022045684,0.00061352126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067997334,0.00030653446,0.011843684,0.00027744364,0.00032264667,0.00026447623,0.00037914183,0.26933914,0.002519468,0.51008904,0.0028369832,0.20114149],"study_design_scores_gemma":[0.000046823872,0.0002917589,0.003694791,0.000116378396,0.00011031533,0.00018851513,0.00014910598,0.33956555,0.0012662326,0.6527491,0.0017780052,0.000043459197],"about_ca_topic_score_codex":0.000419117,"about_ca_topic_score_gemma":0.00045123792,"teacher_disagreement_score":0.0116471145,"about_ca_system_score_codex":0.0010073008,"about_ca_system_score_gemma":0.0011058879,"threshold_uncertainty_score":0.061596572},"labels":[],"label_agreement":null},{"id":"W2518082067","doi":"10.1142/s201013921750001x","title":"Humans, Econs and Portfolio Choice","year":2016,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Waterloo","funders":"Simon Fraser University","keywords":"Prospect theory; Loss aversion; Portfolio; Modern portfolio theory; Economics; Expected utility hypothesis; Risk aversion (psychology); Asset (computer security); Sample (material); Asset allocation; Variance (accounting); Decision theory; Behavioral economics; Post-modern portfolio theory; Capital asset pricing model; Econometrics; Actuarial science; Replicating portfolio; Financial economics; Microeconomics; Portfolio optimization; Computer science","score_opus":0.02005873862288925,"score_gpt":0.2150503165525062,"score_spread":0.19499157792961694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518082067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7996192,0.008453715,0.05728093,0.012300159,0.00023012352,0.00007942079,0.00037910664,0.00007915809,0.12157831],"genre_scores_gemma":[0.9924625,0.0010487644,0.0032552574,0.00046777594,0.000059557475,0.000018897414,0.00006159683,0.000006236117,0.0026194057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99891186,0.0007664665,0.00003387475,0.000068593654,0.0001424841,0.00007667845],"domain_scores_gemma":[0.9937219,0.0045906454,0.0007313261,0.00032196922,0.00024037302,0.0003937719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025577315,0.00026498665,0.00029481066,0.00071042386,0.0002604982,0.0022005779,0.00022850711,0.00089634256,0.0057498785],"category_scores_gemma":[0.011623611,0.00010050082,0.00017931241,0.000798545,0.001395963,0.002087407,0.0007122176,0.0007524356,0.0003190545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004648671,0.00024160842,0.048800007,0.00016613043,0.00016295059,0.0003353569,0.0005585855,0.059274558,0.0006788669,0.7723552,0.005406232,0.11155568],"study_design_scores_gemma":[0.00006313713,0.000229325,0.02104907,0.00007119539,0.000021487473,0.00024185929,0.00060826325,0.047192864,0.00048551708,0.91414446,0.015852733,0.00004022716],"about_ca_topic_score_codex":0.0009968432,"about_ca_topic_score_gemma":0.00054723356,"teacher_disagreement_score":0.0057498785,"about_ca_system_score_codex":0.0005827895,"about_ca_system_score_gemma":0.00032104086,"threshold_uncertainty_score":0.019235253},"labels":[],"label_agreement":null},{"id":"W2518949142","doi":"10.1145/2938503.2938508","title":"The Twitter Bullishness Index","year":2016,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"tf–idf; Index (typography); Lexicon; Analytics; Pearson product-moment correlation coefficient; Computer science; Natural language processing; Social media; Stock market index; Artificial intelligence; Social media analytics; Stock market; Econometrics; Statistics; Term (time); Data science; History; Mathematics; World Wide Web; Context (archaeology)","score_opus":0.02953710615003552,"score_gpt":0.20329657210384178,"score_spread":0.17375946595380626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518949142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602087,0.0009249549,0.0016947218,0.00078077655,0.00007950333,0.00010031442,0.013326473,0.00024335421,0.022641124],"genre_scores_gemma":[0.9917384,0.00030793794,0.0005757146,0.000121565135,0.000096994234,0.00004493571,0.004267112,0.000015072189,0.002832355],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928457,0.00012868477,0.00010171022,0.00008184103,0.0003068613,0.000096302625],"domain_scores_gemma":[0.9938006,0.0014792656,0.0027102083,0.00030052272,0.0011502649,0.0005591794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006828484,0.00024993785,0.00023155083,0.0025606297,0.00033770534,0.0009666005,0.00022555479,0.00031241798,0.0048055253],"category_scores_gemma":[0.006489696,0.00006371536,0.00020426701,0.002011704,0.00022045516,0.0012404793,0.0008375216,0.00036328725,0.0015146803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025647169,0.00008331572,0.92299104,0.000260881,0.00017803845,0.00024029653,0.0015529841,0.00087826437,0.0039660526,0.001531843,0.013160423,0.054900248],"study_design_scores_gemma":[0.000006875409,0.00014215066,0.97525316,0.00005966567,0.000082552804,0.0003667427,0.0019966676,0.0035217388,0.0016446813,0.00073186535,0.016157407,0.00003659571],"about_ca_topic_score_codex":0.0042104507,"about_ca_topic_score_gemma":0.004637589,"teacher_disagreement_score":0.0048055253,"about_ca_system_score_codex":0.0003786668,"about_ca_system_score_gemma":0.00019403546,"threshold_uncertainty_score":0.016076088},"labels":[],"label_agreement":null},{"id":"W2519385971","doi":"10.1016/j.frl.2016.09.006","title":"The day-of-the-Week effects of stock markets in different countries","year":2016,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":148,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Thursday; Names of the days of the week; Stock (firearms); Stock market index; Autoregressive conditional heteroskedasticity; Index (typography); Stock market; Economics; Econometrics; Financial economics; Statistics; Geography; Mathematics; Computer science; Volatility (finance); Philosophy","score_opus":0.03513750990270106,"score_gpt":0.2538700094594255,"score_spread":0.21873249955672444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519385971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996207,0.0005308233,0.00018185034,0.0005459408,0.000059893293,0.000004695793,0.0006312409,0.000017976865,0.0018205744],"genre_scores_gemma":[0.99850583,0.00021836632,0.000025832747,0.000065434775,0.000034046097,0.0000030651686,0.00050135405,0.000011820734,0.0006343544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992655,0.00021359559,0.000049581136,0.00012424511,0.00007197644,0.00027514555],"domain_scores_gemma":[0.9904101,0.0044280505,0.0020310557,0.00069797406,0.0009530617,0.0014798238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017019307,0.0002864895,0.0007935778,0.00079802884,0.0004972227,0.0031352798,0.00049608934,0.001375426,0.003918086],"category_scores_gemma":[0.00765186,0.00045074744,0.0011184883,0.0010663936,0.0008763098,0.0015435545,0.0015455487,0.0016658676,0.0006204533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053978288,0.0005757414,0.942344,0.00015552648,0.0011633609,0.0011053628,0.0013866532,0.017309569,0.003997856,0.0051104245,0.008387924,0.013065668],"study_design_scores_gemma":[0.000039867733,0.00017390525,0.9930403,0.000020255186,0.00018743557,0.000066382345,0.0010619597,0.0030671712,0.00058163394,0.0005394156,0.0011843469,0.000037218553],"about_ca_topic_score_codex":0.020049881,"about_ca_topic_score_gemma":0.026445493,"teacher_disagreement_score":0.020049881,"about_ca_system_score_codex":0.0007858778,"about_ca_system_score_gemma":0.0003800749,"threshold_uncertainty_score":0.03986633},"labels":[],"label_agreement":null},{"id":"W2519946226","doi":"10.1016/j.jeconbus.2016.09.001","title":"The Bad, the boom and the bust: Profit warnings over the business cycle","year":2016,"lang":"en","type":"article","venue":"Journal of Economics and Business","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Bust; Business cycle; Surprise; Monetary economics; Earnings; Boom; Stock market; Economics; Abnormal return; Warning signs; Business; Financial economics; Stock exchange; Finance; Keynesian economics","score_opus":0.013430468906207452,"score_gpt":0.18210695963785536,"score_spread":0.16867649073164792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519946226","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20972462,0.01882401,0.0037101402,0.69655126,0.009151247,0.00003164081,0.0010196508,0.000364212,0.06062324],"genre_scores_gemma":[0.95774984,0.0046434198,0.0005443851,0.022880483,0.0056564766,0.00001099492,0.00016326678,0.00008655436,0.008264582],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9993507,0.00023154766,0.000037331283,0.000058236536,0.00022292433,0.0000993567],"domain_scores_gemma":[0.99104756,0.0047062743,0.0019472864,0.00030092202,0.0010880255,0.0009099472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002062764,0.00034289504,0.00032573598,0.0011213126,0.0013548292,0.004641595,0.0005091679,0.004642527,0.0037512288],"category_scores_gemma":[0.026176456,0.00019543062,0.00017884781,0.0010617094,0.0020143816,0.004896443,0.001455345,0.004487275,0.0005138534],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002831004,0.0001616238,0.05474532,0.00036335303,0.00009266636,0.0013903077,0.0030920987,0.0037734932,0.0013410724,0.098877355,0.6388912,0.19444047],"study_design_scores_gemma":[0.00030417572,0.00043056437,0.10096937,0.0011368844,0.00019392531,0.0008574574,0.011412142,0.02181711,0.0021591205,0.42432353,0.43614215,0.00025369306],"about_ca_topic_score_codex":0.005178519,"about_ca_topic_score_gemma":0.009681608,"teacher_disagreement_score":0.005178519,"about_ca_system_score_codex":0.0014451907,"about_ca_system_score_gemma":0.0011111319,"threshold_uncertainty_score":0.012549102},"labels":[],"label_agreement":null},{"id":"W2520426748","doi":"10.1142/9789813144385_0005","title":"The Symmetric Downside-Risk Sharpe Ratio and the Evaluation of Great Investors and Speculators","year":2016,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sharpe ratio; Speculation; Downside risk; Economics; Financial economics; Business; Finance; Portfolio","score_opus":0.048102038802280055,"score_gpt":0.22125181172253489,"score_spread":0.17314977292025482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520426748","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17267513,0.065943606,0.4456252,0.0063979425,0.0011914166,0.00017929933,0.00045334143,0.00041303984,0.30712098],"genre_scores_gemma":[0.8975792,0.0132444315,0.05633284,0.00044050047,0.0013478807,0.000057748035,0.000200295,0.00011074693,0.030686378],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987312,0.00052148267,0.00006402115,0.00015075815,0.00043889214,0.00009367207],"domain_scores_gemma":[0.9951115,0.0029681746,0.0005976205,0.0003107424,0.00072484004,0.0002871114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044993004,0.0007840112,0.0006710348,0.0017135555,0.00035024656,0.0031359713,0.0006606845,0.0012521204,0.004328883],"category_scores_gemma":[0.017483475,0.00034726466,0.00041251606,0.0013430997,0.0022158057,0.003974897,0.00086067634,0.0009845641,0.0007407382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016768985,0.000027822945,0.0050458964,0.00020818492,0.00006645023,0.00048417647,0.00026212138,0.028287439,0.0021250925,0.80816084,0.014952996,0.14021122],"study_design_scores_gemma":[0.000019420035,0.00013422297,0.0065494296,0.00013506685,0.000047764515,0.0008533566,0.00023919092,0.10587703,0.0020735152,0.8635266,0.020483175,0.00006118369],"about_ca_topic_score_codex":0.00051158405,"about_ca_topic_score_gemma":0.0002694681,"teacher_disagreement_score":0.0044993004,"about_ca_system_score_codex":0.0011038034,"about_ca_system_score_gemma":0.00039831692,"threshold_uncertainty_score":0.02379489},"labels":[],"label_agreement":null},{"id":"W2522384592","doi":"10.1002/fut.21862","title":"Time is money: An empirical investigation of delivery behavior in the U.S. T‐Bond futures market","year":2017,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Futures contract; Bond; Futures market; Order (exchange); Economics; Econometrics; Financial economics; Finance","score_opus":0.035481048366264735,"score_gpt":0.2641749060748072,"score_spread":0.22869385770854248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522384592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977812,0.00024412472,0.00034685244,0.0001765846,0.0000058792134,0.000010899441,0.00034575316,0.0000064578344,0.0010822648],"genre_scores_gemma":[0.998425,0.00017380535,0.00018942835,0.000027807078,0.000012375094,0.000006873728,0.0005848018,0.0000056250506,0.0005742783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948645,0.00019969537,0.000058819445,0.00007416205,0.000117589254,0.000063238884],"domain_scores_gemma":[0.9886509,0.0060821385,0.003802392,0.00036355166,0.0005159873,0.0005850407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018826382,0.00021244267,0.0003216677,0.0010891203,0.00042226992,0.0010494876,0.00040688578,0.0006525413,0.0031625468],"category_scores_gemma":[0.014392188,0.00017070847,0.00024843015,0.0020525663,0.00042333716,0.0018056527,0.0006397058,0.0010902741,0.00062511134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006865472,0.00042596276,0.9622318,0.00005190241,0.000103206694,0.0005806205,0.0016324447,0.0054021054,0.0008205195,0.0037192947,0.0021217784,0.02222387],"study_design_scores_gemma":[0.000026974625,0.0002809612,0.95267165,0.00004299337,0.000051859904,0.00035801632,0.003856587,0.036282532,0.00083308114,0.0016575501,0.0039071357,0.000030593495],"about_ca_topic_score_codex":0.010826535,"about_ca_topic_score_gemma":0.008055614,"teacher_disagreement_score":0.010826535,"about_ca_system_score_codex":0.0005355707,"about_ca_system_score_gemma":0.000344017,"threshold_uncertainty_score":0.021526992},"labels":[],"label_agreement":null},{"id":"W2522653566","doi":"10.1155/2016/8098092","title":"External Monitoring and Dynamic Behavior in Mutual Funds","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"Science Foundation of Ministry of Education of China; Fundamental Research Funds for the Central Universities; Education Department of Jiangxi Province; China Postdoctoral Science Foundation; Ministry of Education of the People's Republic of China; Department of Education of Liaoning Province; National Natural Science Foundation of China","keywords":"Inefficiency; Business; Mutual fund; Information asymmetry; Closed-end fund; Finance; Investment (military); Microeconomics; Economics; Market liquidity","score_opus":0.021989889963246405,"score_gpt":0.2142519028830345,"score_spread":0.1922620129197881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522653566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624189,0.00043288342,0.030413862,0.0008842004,0.000009933637,0.000017672148,0.00003277964,0.000047755177,0.0057420223],"genre_scores_gemma":[0.99845386,0.000078224664,0.0008647178,0.000015470716,0.00000817445,0.000007115271,0.000010165895,0.0000038074513,0.00055846944],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989681,0.0005107363,0.00005644637,0.00014915272,0.00015751502,0.00015799193],"domain_scores_gemma":[0.98747224,0.0050329627,0.0057517006,0.0006466098,0.00055486563,0.0005416035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035130256,0.00036110726,0.0005433977,0.0006499168,0.0005071827,0.0015876339,0.0005155005,0.0011343289,0.0014298529],"category_scores_gemma":[0.025907144,0.0002585235,0.00027239992,0.00045333107,0.0013355693,0.0020972725,0.0011134968,0.0006595204,0.00013332476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081172195,0.00037087942,0.12677188,0.00018408964,0.00027671587,0.0014938412,0.002500439,0.16936949,0.008643645,0.60339814,0.001982886,0.08419633],"study_design_scores_gemma":[0.0001485907,0.0002578175,0.057199392,0.000091169444,0.000089728856,0.0006026401,0.0008422172,0.60483474,0.0029617134,0.3296717,0.0032121544,0.00008811864],"about_ca_topic_score_codex":0.0015102222,"about_ca_topic_score_gemma":0.0007822727,"teacher_disagreement_score":0.0035130256,"about_ca_system_score_codex":0.0011223407,"about_ca_system_score_gemma":0.00048528367,"threshold_uncertainty_score":0.018578887},"labels":[],"label_agreement":null},{"id":"W2523624942","doi":"10.5539/ijef.v8n10p14","title":"The Effect of Fund Uniqueness on Fund Flow Sensitivity: An Empirical Study of Chinese Public Mutual Funds","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Open-end fund; Closed-end fund; Mutual fund; Fund of funds; Income fund; Uniqueness; Business; Fund administration; China; Economics; Finance; Institutional investor; Mathematics; Market liquidity","score_opus":0.04508992536586045,"score_gpt":0.28270112763754207,"score_spread":0.23761120227168162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523624942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998035,0.000020304778,0.00004949555,0.000017075656,4.1466325e-7,0.0000021589408,0.000015087417,7.0418434e-7,0.00009128672],"genre_scores_gemma":[0.9998616,0.000018386521,0.000030473262,0.0000035387736,0.0000024246735,0.0000016238579,0.000039296316,3.6904171e-7,0.000042360865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988374,0.00035890492,0.00013698719,0.00019686802,0.00026048414,0.00020935776],"domain_scores_gemma":[0.9870139,0.0053998134,0.004974047,0.0007708233,0.00085130666,0.0009902763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026397062,0.00024695558,0.0003614913,0.0017865024,0.0006740537,0.00075854425,0.00042196648,0.00040346425,0.00081213634],"category_scores_gemma":[0.011348937,0.00016420768,0.00071137946,0.0016775443,0.0007987672,0.001146219,0.0010754962,0.00042545793,0.00006947776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008526917,0.000043885524,0.99399287,0.000010005402,0.00008662848,0.00018703101,0.0009017031,0.0008627883,0.00034263093,0.00026641422,0.000057236422,0.003163489],"study_design_scores_gemma":[0.0000046863397,0.000052392774,0.9948113,0.0000037977743,0.00004956627,0.00008014056,0.00063878065,0.003835112,0.00028514472,0.00013676059,0.000092535774,0.000009844967],"about_ca_topic_score_codex":0.018386258,"about_ca_topic_score_gemma":0.01204846,"teacher_disagreement_score":0.018386258,"about_ca_system_score_codex":0.0010212832,"about_ca_system_score_gemma":0.00089240645,"threshold_uncertainty_score":0.03655845},"labels":[],"label_agreement":null},{"id":"W2523891019","doi":"10.5539/ibr.v9n11p105","title":"Impact of Number of Security Analysts in Liquidity of Brazilian Stocks","year":2016,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Liberian dollar; Stock exchange; Monetary economics; Stock (firearms); Economics; Market maker; Financial economics; Liquidity crisis; Stock market; Liquidity risk; Business; Finance","score_opus":0.06950785499416175,"score_gpt":0.3722741118939987,"score_spread":0.302766256899837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523891019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963594,0.0005964184,0.000059388414,0.00023496257,0.000005657936,0.000003516733,0.00011418794,0.000005878791,0.002620526],"genre_scores_gemma":[0.9995491,0.00013255417,0.00004171169,0.000015725524,0.0000096059275,0.0000014432043,0.000034988756,0.0000011743076,0.00021370327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920386,0.0002516587,0.00005576595,0.00014542765,0.00020251123,0.00014079007],"domain_scores_gemma":[0.9881484,0.0056911744,0.0043686694,0.00032921374,0.000742706,0.00071977114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010893729,0.00022195475,0.00018403727,0.0011381811,0.00037498077,0.0010001499,0.0002358831,0.00042125976,0.002001374],"category_scores_gemma":[0.013254542,0.00012982133,0.00033578151,0.00067457167,0.00045723747,0.00065207813,0.00056948676,0.00033187197,0.00017003527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024260783,0.000068891,0.98188895,0.00004769902,0.00007805131,0.00045561627,0.0013646288,0.00051638205,0.0017172591,0.00046988818,0.00023134949,0.012918766],"study_design_scores_gemma":[0.00001424954,0.00016897115,0.9931097,0.000038279166,0.000110462635,0.0004225246,0.0017929386,0.0012728166,0.0009794495,0.00036904053,0.001708337,0.000013172249],"about_ca_topic_score_codex":0.01526854,"about_ca_topic_score_gemma":0.01845155,"teacher_disagreement_score":0.01526854,"about_ca_system_score_codex":0.0006785955,"about_ca_system_score_gemma":0.00071779237,"threshold_uncertainty_score":0.030359328},"labels":[],"label_agreement":null},{"id":"W2524931941","doi":"10.1287/mnsc.2016.2542","title":"Can Investment Shocks Explain the Cross Section of Equity Returns?","year":2016,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National IT Industry Promotion Agency","keywords":"Economics; Value premium; Econometrics; Capital asset pricing model; Equity premium puzzle; Risk premium; Earnings; Investment (military); Macro; Financial economics; Equity (law); Monetary economics; Finance","score_opus":0.04478020553738428,"score_gpt":0.25954490376202627,"score_spread":0.214764698224642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2524931941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855317,0.0013786665,0.006268788,0.0013213551,0.000060394243,0.00004030032,0.0007245809,0.00008609536,0.004588076],"genre_scores_gemma":[0.9978387,0.00033218582,0.00019494555,0.00011146831,0.00004307424,0.000007763659,0.00043021384,0.0000096112435,0.0010320486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993782,0.000108481254,0.000060767332,0.00015832322,0.000084725885,0.00020952965],"domain_scores_gemma":[0.9919715,0.0031461995,0.0032139472,0.00090195634,0.00031713667,0.0004492189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026933607,0.0005637226,0.00062013295,0.0018114211,0.00025640655,0.001837074,0.00055318425,0.0011455881,0.0034480563],"category_scores_gemma":[0.010017542,0.0003728605,0.0011006393,0.0018986741,0.00071640336,0.0017852318,0.0011755241,0.0011142466,0.0007801608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006733916,0.00004526106,0.97567844,0.000026785005,0.0003670594,0.00020348713,0.00016517201,0.004805946,0.00040141682,0.0035965324,0.00063089695,0.014011739],"study_design_scores_gemma":[0.000009727614,0.0000564591,0.9751344,0.000021117576,0.000121196405,0.00009915602,0.00022257422,0.017372346,0.00040958126,0.0051441905,0.0013906936,0.000018576147],"about_ca_topic_score_codex":0.009216651,"about_ca_topic_score_gemma":0.007912138,"teacher_disagreement_score":0.009216651,"about_ca_system_score_codex":0.0006063897,"about_ca_system_score_gemma":0.00028283327,"threshold_uncertainty_score":0.018326044},"labels":[],"label_agreement":null},{"id":"W2525484883","doi":"10.4102/sajbm.v32i3.721","title":"The bimodal character of stock distribution","year":2001,"lang":"en","type":"article","venue":"South African Journal of Business Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Regent College","funders":"","keywords":"Growth stock; Econometrics; Valuation (finance); Stock market; Stock (firearms); Economics; Character (mathematics); Financial economics; Value (mathematics); Statistics; Mathematics; Stock market bubble; Geography; Accounting","score_opus":0.022910363558643558,"score_gpt":0.1931833659245094,"score_spread":0.17027300236586584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525484883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97934765,0.00040972966,0.010428326,0.0001450737,0.00000927495,0.00002377174,0.00072895276,0.000087588596,0.008819636],"genre_scores_gemma":[0.9983987,0.00009784343,0.0006461073,0.000021343036,0.000010967453,0.000008086107,0.00023851955,0.0000060873026,0.00057239836],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995946,0.00007170384,0.000035670404,0.000086283086,0.00013965314,0.00007210239],"domain_scores_gemma":[0.9972951,0.0010506561,0.000573342,0.000313812,0.00058660185,0.00018044336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007015136,0.00012433842,0.00023743056,0.0022440741,0.00027265016,0.0009884301,0.00018369732,0.00019318792,0.0035097236],"category_scores_gemma":[0.0049689338,0.00010448846,0.00012996179,0.0012354425,0.00055533065,0.0009305097,0.00067379064,0.00022367173,0.00047858842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041642605,0.000038456277,0.85332346,0.00009137203,0.00008831344,0.00055451953,0.0019520827,0.004784136,0.016983476,0.011964293,0.001881971,0.10792155],"study_design_scores_gemma":[0.000007799714,0.000109856635,0.9716086,0.00002840363,0.000018461315,0.0010193071,0.001165875,0.00928667,0.0021165498,0.011048115,0.003550691,0.000039657727],"about_ca_topic_score_codex":0.0014143795,"about_ca_topic_score_gemma":0.0010266555,"teacher_disagreement_score":0.0035097236,"about_ca_system_score_codex":0.00036683938,"about_ca_system_score_gemma":0.00011774493,"threshold_uncertainty_score":0.011741221},"labels":[],"label_agreement":null},{"id":"W2525807259","doi":"","title":"Dynamics between stock price and exchange rates in Australia, Canada and New Zealand.","year":2009,"lang":"en","type":"other","venue":"DR-NTU (Nanyang Technological University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Stock (firearms); Stock exchange; Financial economics; Geography; Finance","score_opus":0.03159153214030597,"score_gpt":0.19759738748981648,"score_spread":0.1660058553495105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525807259","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948508,0.00037575644,0.00011750892,0.00023044329,0.000007479104,0.0000098456585,0.0010755227,0.0000065807767,0.0033260172],"genre_scores_gemma":[0.99635917,0.00039093982,0.00017887472,0.000020384452,0.000004718279,0.000004201983,0.0010089559,0.0000026055595,0.002030105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998653,0.000010913596,0.000008533459,0.00002019312,0.00006371192,0.00003119151],"domain_scores_gemma":[0.9990619,0.00008675653,0.00035539115,0.000029301322,0.0003158317,0.00015088907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002901827,0.00019538945,0.00014758296,0.00087300077,0.00035085576,0.00086384115,0.00023003577,0.00019301724,0.0012714337],"category_scores_gemma":[0.0021970219,0.00008724438,0.00016368869,0.0016571828,0.0002808545,0.00043117028,0.00033235797,0.00032891365,0.00015955111],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015813661,0.000034341778,0.9726706,0.000035197965,0.000078357094,0.0007571861,0.0011438528,0.0016602236,0.0013225082,0.0019971135,0.0022385921,0.0179039],"study_design_scores_gemma":[0.0000037036782,0.000012318861,0.9956071,0.0000059796776,0.000017187876,0.000090230475,0.0005321449,0.0020276143,0.00012937201,0.00013888635,0.0014266566,0.00000883943],"about_ca_topic_score_codex":0.8418083,"about_ca_topic_score_gemma":0.87531906,"teacher_disagreement_score":0.15819168,"about_ca_system_score_codex":0.0031352665,"about_ca_system_score_gemma":0.0024498773,"threshold_uncertainty_score":0.31824654},"labels":[],"label_agreement":null},{"id":"W2527743196","doi":"10.5430/ijfr.v7n5p1","title":"Is S&amp;P100 Index a Mean-Variance Efficient Portfolio?","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rate of return on a portfolio; Portfolio; Index (typography); Portfolio optimization; Variance (accounting); Capitalization-weighted index; Modern portfolio theory; Standard deviation; Econometrics; Economics; Stock market index; Stock (firearms); Post-modern portfolio theory; Risk–return spectrum; Statistics; Mathematics; Actuarial science; Replicating portfolio; Financial economics; Computer science; Stock market; Biology; Engineering","score_opus":0.10844971150340917,"score_gpt":0.34936046468385046,"score_spread":0.2409107531804413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527743196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87507653,0.0014032207,0.09479227,0.0019825606,0.000080043465,0.000050358343,0.00018098539,0.00009478214,0.02633925],"genre_scores_gemma":[0.99001795,0.0004717785,0.007110923,0.00011712949,0.00006773041,0.000014902126,0.00013272458,0.000014806378,0.0020520473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989808,0.00020738186,0.000082033584,0.0002212631,0.00037948444,0.0001288769],"domain_scores_gemma":[0.9966292,0.0013995516,0.0010891884,0.00027436393,0.00044828616,0.00015940187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018552126,0.00028194214,0.0007420884,0.00089185557,0.00033321363,0.0024303915,0.0004536045,0.00082344335,0.0020731152],"category_scores_gemma":[0.010136428,0.00019301522,0.0003937927,0.00089777505,0.00075175683,0.0023959375,0.0004290794,0.0005082168,0.0003990101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004153792,0.0002928034,0.2061881,0.00033746284,0.00060370145,0.0015237611,0.00037242874,0.051739823,0.015527666,0.41531155,0.0051873405,0.30250004],"study_design_scores_gemma":[0.00011617915,0.0007264972,0.17967016,0.00017446629,0.0002707135,0.0032017257,0.0008391766,0.32889542,0.011081091,0.45604324,0.018871695,0.0001096234],"about_ca_topic_score_codex":0.0005764551,"about_ca_topic_score_gemma":0.00051434414,"teacher_disagreement_score":0.0024303915,"about_ca_system_score_codex":0.0006391153,"about_ca_system_score_gemma":0.0007290259,"threshold_uncertainty_score":0.009811401},"labels":[],"label_agreement":null},{"id":"W2528644011","doi":"10.2139/ssrn.2849272","title":"Trading Against Disorderly Liquidation of a Large Position Under Asymmetric Information and Market Impact","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Position (finance); Business; Information asymmetry; Financial economics; High-frequency trading; Algorithmic trading; Economics; Finance","score_opus":0.007708489053425888,"score_gpt":0.21168117135025602,"score_spread":0.20397268229683013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528644011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96441686,0.00020115645,0.025552295,0.0012006876,0.00008611041,0.000019752295,0.0000857321,0.000275731,0.0081616705],"genre_scores_gemma":[0.9985482,0.000028516728,0.0005615116,0.000047734677,0.000029549188,0.0000027552287,0.000020951193,0.000010093029,0.00075060385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993351,0.00016654034,0.00005328099,0.00010294125,0.00016706782,0.00017512348],"domain_scores_gemma":[0.9806737,0.008988016,0.006374838,0.0016470379,0.0006931713,0.0016232511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027379927,0.00033970329,0.00094514753,0.00073043344,0.00053416,0.002952422,0.0008767399,0.0020969503,0.004340321],"category_scores_gemma":[0.0217512,0.00032121874,0.00040259055,0.00040789708,0.0016040121,0.0030876421,0.0015433297,0.001418747,0.00045606215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008886474,0.00089191314,0.07633834,0.00039607444,0.0005887334,0.0061608306,0.000625246,0.33266252,0.053744335,0.41191223,0.0107884435,0.09700489],"study_design_scores_gemma":[0.00018103221,0.00059168227,0.009837855,0.00002652264,0.00006911712,0.0005367394,0.00016348864,0.82683736,0.0034473424,0.15739854,0.00085568597,0.00005457232],"about_ca_topic_score_codex":0.00094534067,"about_ca_topic_score_gemma":0.00065272505,"teacher_disagreement_score":0.004340321,"about_ca_system_score_codex":0.0007766785,"about_ca_system_score_gemma":0.00055174035,"threshold_uncertainty_score":0.014519811},"labels":[],"label_agreement":null},{"id":"W2528904369","doi":"10.3386/w22697","title":"Impediments to Financial Trade: Theory and Applications","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Finance; Business; Financial system","score_opus":0.25554387960818475,"score_gpt":0.4506629576808603,"score_spread":0.19511907807267553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528904369","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13228384,0.0059376536,0.75615335,0.010634303,0.00036690562,0.00011464993,0.0004549649,0.00040391466,0.09365044],"genre_scores_gemma":[0.94514424,0.0060130865,0.031353056,0.0005998698,0.00061579637,0.00017970028,0.00018289605,0.0000963099,0.015815014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991529,0.00036518378,0.000043658365,0.00012965644,0.00017363507,0.0001348332],"domain_scores_gemma":[0.98930013,0.008085793,0.0011821399,0.00051109854,0.00054201024,0.00037877116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024500915,0.0009326489,0.0013593677,0.0020789367,0.001139845,0.0043726917,0.0017691684,0.0036895073,0.0107752215],"category_scores_gemma":[0.02008689,0.00089367427,0.0011528872,0.0020040846,0.004752847,0.0059392783,0.0030701596,0.0031366437,0.00081288663],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016131591,0.00003907878,0.00071569794,0.000068370864,0.000013009481,0.00012159364,0.00007603507,0.10541055,0.0001482674,0.88511825,0.0026535315,0.005619697],"study_design_scores_gemma":[0.000016168327,0.000013303217,0.00018129984,0.00003755096,0.0000090694275,0.000076412274,0.00006684447,0.28868127,0.0000726946,0.7091171,0.0017120331,0.000016227754],"about_ca_topic_score_codex":0.003123052,"about_ca_topic_score_gemma":0.0014281049,"teacher_disagreement_score":0.0107752215,"about_ca_system_score_codex":0.002126537,"about_ca_system_score_gemma":0.0013326291,"threshold_uncertainty_score":0.036046684},"labels":[],"label_agreement":null},{"id":"W2528988831","doi":"10.5430/ijfr.v7n5p7","title":"R&amp;D Investment and Market Reactions in Non-crisis and Crisis Periods: Evidence from Taiwan","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial crisis; Investment (military); Portfolio; Economics; Monetary economics; Value (mathematics); Financial economics; Sample (material); Period (music); Macroeconomics; Mathematics","score_opus":0.09452611266826438,"score_gpt":0.34265044440624626,"score_spread":0.24812433173798187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528988831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992686,0.000117738884,0.000017676763,0.000060122467,0.0000012943622,0.000003076663,0.00011615995,0.0000013135435,0.0004139256],"genre_scores_gemma":[0.99942434,0.00012442435,0.000016131995,0.000023623317,0.0000075194084,0.0000027451326,0.00024993697,8.936857e-7,0.00015052434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997955,0.000030830935,0.00003204629,0.00003904143,0.000044121174,0.000058526923],"domain_scores_gemma":[0.995516,0.00059164804,0.0031274015,0.00011943763,0.00026971006,0.00037571555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049333385,0.00018431473,0.000170624,0.0011707932,0.00020168241,0.00093448564,0.00021178275,0.00049082673,0.001229455],"category_scores_gemma":[0.0021397725,0.00013162763,0.00026447148,0.0011649089,0.00034287805,0.000615388,0.000612964,0.00041234327,0.00022440759],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012671774,0.0000817094,0.9944959,0.000026774302,0.000042286345,0.00051024125,0.00054975325,0.0001777675,0.0006716983,0.00008605108,0.00022993748,0.0030011032],"study_design_scores_gemma":[0.000004368588,0.000053306398,0.9984158,0.0000052433056,0.000013436963,0.00013790045,0.00063858996,0.00028243085,0.00015012384,0.000027066613,0.0002678997,0.0000038716166],"about_ca_topic_score_codex":0.008469812,"about_ca_topic_score_gemma":0.0083016185,"teacher_disagreement_score":0.008469812,"about_ca_system_score_codex":0.00032006536,"about_ca_system_score_gemma":0.0002757522,"threshold_uncertainty_score":0.016841054},"labels":[],"label_agreement":null},{"id":"W2529491959","doi":"10.2139/ssrn.2846229","title":"Information and Liquidity of Over-The-Counter Securities: Evidence from Public Registration of Private Debt","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Market liquidity; Debt; Business; Over-the-counter; Financial system; Public information; Private information retrieval; Monetary economics; Accounting; Finance; Economics; Political science; Computer security; Public relations; Medicine","score_opus":0.018931676364684832,"score_gpt":0.20796617792041852,"score_spread":0.1890345015557337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529491959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99590045,0.00046564173,0.00008106261,0.00050826115,0.0000076241204,0.000008994956,0.0006261044,0.000005063626,0.0023967435],"genre_scores_gemma":[0.9980373,0.00033153914,0.00004122553,0.00007142465,0.00003574178,0.000004617064,0.0006355885,0.000003929423,0.00083861366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985392,0.0005110343,0.00020234931,0.00019043725,0.000317513,0.00023948406],"domain_scores_gemma":[0.8720227,0.04832729,0.06830355,0.005194192,0.0036114887,0.0025408107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029767107,0.00023613514,0.00047403117,0.001599385,0.0005936428,0.0032506553,0.0009300241,0.0020626248,0.006805578],"category_scores_gemma":[0.039251436,0.0003881995,0.00033081722,0.0024721327,0.0011526314,0.002728869,0.0011572113,0.0014323756,0.0012758584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037366673,0.0011279772,0.9672783,0.00015228077,0.0002447544,0.0006160802,0.0021664721,0.00075639767,0.0012759751,0.0025495456,0.001973064,0.018122543],"study_design_scores_gemma":[0.00023413055,0.0006239761,0.9848513,0.00011530889,0.0002505385,0.00042220956,0.0028465209,0.0015371733,0.0017932727,0.0032095439,0.004070642,0.000045308916],"about_ca_topic_score_codex":0.009248152,"about_ca_topic_score_gemma":0.009537181,"teacher_disagreement_score":0.009248152,"about_ca_system_score_codex":0.0006885752,"about_ca_system_score_gemma":0.000628826,"threshold_uncertainty_score":0.022766888},"labels":[],"label_agreement":null},{"id":"W2529522548","doi":"10.5430/ijfr.v7n5p87","title":"Assessing Performance of Liquidity Adjusted Value-at-Risk Models","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Econometrics; Normality; Portfolio; Liquidity risk; Economics; Value at risk; Liquidity premium; Financial economics; Actuarial science; Statistics; Mathematics; Risk management; Monetary economics; Finance","score_opus":0.16939140974443617,"score_gpt":0.3499745582623189,"score_spread":0.1805831485178827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529522548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6639701,0.0034631393,0.32378942,0.0011976727,0.00013249577,0.00011221266,0.00071136537,0.0009694767,0.005654064],"genre_scores_gemma":[0.97658813,0.00048825162,0.021401776,0.00008221123,0.000059070302,0.000049439932,0.0005204787,0.000059202725,0.0007514367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99761,0.0014775493,0.00014421737,0.00026465976,0.00034215074,0.00016145896],"domain_scores_gemma":[0.97630936,0.019854035,0.001771475,0.0007600194,0.0008896423,0.00041550456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0088615455,0.0011589233,0.0012302487,0.0019591388,0.0004460893,0.0025958032,0.001532158,0.0020234548,0.0014783766],"category_scores_gemma":[0.02573666,0.0003973623,0.0010402962,0.0010272631,0.00057969126,0.0025574628,0.0015597696,0.0015144807,0.00035406672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023318958,0.00006879523,0.0086591495,0.000053352098,0.0001703663,0.000092470145,0.000052652493,0.97388655,0.0003158725,0.00703507,0.00042386117,0.009008655],"study_design_scores_gemma":[0.000007691079,0.000073678944,0.0007351958,0.000011026002,0.0000147235105,0.000020313408,0.000014451695,0.9955338,0.00012588469,0.003344924,0.000107994914,0.000010370661],"about_ca_topic_score_codex":0.00467061,"about_ca_topic_score_gemma":0.0021197835,"teacher_disagreement_score":0.0088615455,"about_ca_system_score_codex":0.0010026275,"about_ca_system_score_gemma":0.0011006246,"threshold_uncertainty_score":0.046864867},"labels":[],"label_agreement":null},{"id":"W2531119696","doi":"10.2139/ssrn.2848989","title":"How Do Insiders Trade?","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; McGill University","funders":"","keywords":"Business; International trade; Economics; International economics","score_opus":0.016770093541901603,"score_gpt":0.18879982810942003,"score_spread":0.17202973456751844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531119696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8047964,0.0047141826,0.005094654,0.018889835,0.00027778474,0.000024498548,0.00035815398,0.000118683965,0.1657259],"genre_scores_gemma":[0.9846042,0.00104862,0.0004179464,0.0009542149,0.00021889272,0.0000060976577,0.00008557946,0.000033823402,0.012630574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992409,0.0002420194,0.000032181204,0.00013587727,0.00015426059,0.00019487331],"domain_scores_gemma":[0.99088436,0.0039325627,0.0031466864,0.00073483505,0.0005316413,0.0007699419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001637552,0.00020365384,0.00041423182,0.00069378555,0.0007530977,0.0065356693,0.00043654803,0.0021398223,0.016372241],"category_scores_gemma":[0.010676181,0.00022947606,0.00027950018,0.00077735895,0.0016208623,0.007834288,0.0007546756,0.0012559,0.0033739964],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068505906,0.0005048065,0.29100496,0.00027861504,0.00038708682,0.0011877512,0.008171472,0.003284817,0.0032322379,0.36259368,0.042463694,0.2862057],"study_design_scores_gemma":[0.0001370303,0.0003346027,0.2293625,0.00052722736,0.00036842172,0.002215828,0.031249028,0.014861413,0.0042472244,0.5766572,0.13987644,0.00016313665],"about_ca_topic_score_codex":0.001221904,"about_ca_topic_score_gemma":0.0014205418,"teacher_disagreement_score":0.016372241,"about_ca_system_score_codex":0.00059916195,"about_ca_system_score_gemma":0.00041360423,"threshold_uncertainty_score":0.05477059},"labels":[],"label_agreement":null},{"id":"W2532354492","doi":"10.5539/ibr.v9n12p13","title":"Style Investing with Machine Learning","year":2016,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Support vector machine; Econometrics; Regression; Economics; Dividend; Regression analysis; Style analysis; Investment (military); Index (typography); Financial economics; Computer science; Investment strategy; Monetary economics; Mathematics; Statistics; Artificial intelligence; Machine learning; Finance","score_opus":0.09542115569175497,"score_gpt":0.29977225794638934,"score_spread":0.20435110225463438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2532354492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19501726,0.0015807567,0.77827585,0.0016068763,0.00030604866,0.00011942777,0.0006180036,0.0040077297,0.018468035],"genre_scores_gemma":[0.8506828,0.00033075077,0.140996,0.00018525925,0.00016104737,0.00006481269,0.00054265757,0.00010291748,0.0069337827],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934524,0.00030402635,0.000032824228,0.00012776612,0.00014229385,0.00004779442],"domain_scores_gemma":[0.9975424,0.0014804415,0.0002482192,0.00040212952,0.00027151668,0.000055444438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015070409,0.0006409642,0.00055739883,0.0009737612,0.00018813401,0.0012645249,0.0006245268,0.0006113033,0.0030794982],"category_scores_gemma":[0.0061524347,0.00021780116,0.000584322,0.00117001,0.00033326162,0.0010821936,0.0006901129,0.00089320604,0.0010936123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015807574,0.00024127959,0.018727154,0.00008285622,0.00020934106,0.00010477824,0.000091230984,0.3700879,0.0010752832,0.011940721,0.005613815,0.5916676],"study_design_scores_gemma":[0.0000064610167,0.00002781881,0.001492514,0.000007876337,0.0000091234415,0.000015859949,0.000010113417,0.98766416,0.0004776958,0.009286154,0.0009956501,0.000006580795],"about_ca_topic_score_codex":0.0023496062,"about_ca_topic_score_gemma":0.0022266696,"teacher_disagreement_score":0.0030794982,"about_ca_system_score_codex":0.00047183956,"about_ca_system_score_gemma":0.00040737775,"threshold_uncertainty_score":0.010301948},"labels":[],"label_agreement":null},{"id":"W2533088352","doi":"10.2139/ssrn.2745342","title":"Price Impact and Bursts In Liquidity Provision","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Monetary economics; Economics; Business","score_opus":0.013144446216905257,"score_gpt":0.22284922482404537,"score_spread":0.20970477860714012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2533088352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960103,0.00029861316,0.0004501062,0.00052658864,0.000029980632,0.0000066832963,0.00030038404,0.000028649165,0.0023485415],"genre_scores_gemma":[0.998963,0.00007096094,0.00005460777,0.000041737152,0.000037953214,0.0000026513826,0.00013020844,0.000012544524,0.00068624876],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996051,0.000065783395,0.0000397791,0.000079347206,0.0000969025,0.00011308119],"domain_scores_gemma":[0.98227155,0.010501465,0.00443297,0.0007144387,0.0005459724,0.001533497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012055442,0.00020507276,0.00041161163,0.00076772354,0.00040328444,0.0030260894,0.0004980946,0.0016828008,0.013485957],"category_scores_gemma":[0.023820862,0.00042847,0.00023573023,0.0009662303,0.00084184494,0.0021228024,0.0011188847,0.0022701577,0.0010742449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.021765484,0.0027364094,0.7734982,0.00038274558,0.00044758245,0.004531524,0.003227902,0.019844396,0.049173042,0.04792678,0.0088872565,0.06757865],"study_design_scores_gemma":[0.00032521042,0.0008397339,0.919523,0.000058111553,0.00022151509,0.0011054134,0.0021120603,0.034116004,0.0041651735,0.03450867,0.0029399022,0.00008515013],"about_ca_topic_score_codex":0.0018738678,"about_ca_topic_score_gemma":0.0019433367,"teacher_disagreement_score":0.013485957,"about_ca_system_score_codex":0.0006011727,"about_ca_system_score_gemma":0.00032198586,"threshold_uncertainty_score":0.045115054},"labels":[],"label_agreement":null},{"id":"W2539649536","doi":"10.5539/ass.v12n12p188","title":"The Influence of Trading Locations on Equity Returns","year":2016,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Business; Financial economics; Stock market; Economics; Monetary economics","score_opus":0.039493237269057506,"score_gpt":0.268767684068234,"score_spread":0.22927444679917647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2539649536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99903774,0.00006167043,0.00012513959,0.000021103353,0.0000013191786,0.0000014449485,0.000041069296,0.0000039034226,0.00070664746],"genre_scores_gemma":[0.9997898,0.000019960982,0.000032035165,0.0000022499726,0.0000026884668,4.6980722e-7,0.00002732298,0.0000018527974,0.00012358687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989937,0.0005180824,0.00006424632,0.00016153402,0.00013124097,0.00013125085],"domain_scores_gemma":[0.979002,0.014106543,0.004684982,0.0007517146,0.0005580629,0.00089668727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094751065,0.00022558082,0.00027296695,0.00068895624,0.00021522093,0.0014255967,0.0003936037,0.00047431234,0.0034363887],"category_scores_gemma":[0.010993577,0.0001684419,0.00026298696,0.00067518174,0.00060090196,0.0008203799,0.0005659485,0.00037505405,0.00048313127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094622985,0.00017062727,0.9706598,0.000022576594,0.00018529895,0.0008680361,0.00020071432,0.0068170866,0.0071864617,0.00064693607,0.00011963354,0.012176472],"study_design_scores_gemma":[0.000021221475,0.00027882005,0.9882961,0.000005923083,0.0000863815,0.00019555722,0.00030817182,0.008524796,0.0015999695,0.00045789033,0.00020944804,0.000015587115],"about_ca_topic_score_codex":0.0034951814,"about_ca_topic_score_gemma":0.0034788458,"teacher_disagreement_score":0.0034951814,"about_ca_system_score_codex":0.0003511978,"about_ca_system_score_gemma":0.00016890703,"threshold_uncertainty_score":0.011495829},"labels":[],"label_agreement":null},{"id":"W2539826002","doi":"10.5539/ijef.v8n11p155","title":"An Empirical Review of Asset Pricing Models for the Japanese Share Market","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market share; Capital asset pricing model; Robustness (evolution); Financial economics; Economics; Market share analysis; Asset (computer security); Empirical research; Business; Econometrics; Market microstructure; Finance; Computer science; Order (exchange)","score_opus":0.05636088082838208,"score_gpt":0.28211458094280556,"score_spread":0.22575370011442347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2539826002","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07196531,0.7955056,0.090608455,0.007051418,0.00067263254,0.000039382554,0.0010069897,0.0003031931,0.03284707],"genre_scores_gemma":[0.3451507,0.6221776,0.023952298,0.0010594466,0.0014993941,0.000046443394,0.0015779884,0.00013477306,0.0044013257],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944323,0.00014360172,0.00007110957,0.00008392509,0.00022194473,0.00003614534],"domain_scores_gemma":[0.99653375,0.002303972,0.00031690797,0.00017741884,0.00061126926,0.000056619956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020998318,0.0007907987,0.0007145399,0.0023782186,0.00044245293,0.0015637031,0.0009878832,0.00060298684,0.002743157],"category_scores_gemma":[0.0063847047,0.00043610047,0.0009679801,0.0050831325,0.00057439815,0.0027519753,0.00045843286,0.0010536932,0.00070509],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011870506,0.0001978509,0.0245973,0.0056078504,0.0004645284,0.0006126147,0.0009902618,0.0423911,0.0015917468,0.17263116,0.050370064,0.7004268],"study_design_scores_gemma":[0.00004291127,0.00024995467,0.084337555,0.0050868765,0.0012769633,0.0024062002,0.0013330972,0.1512277,0.0019792523,0.15165597,0.60012764,0.00027598758],"about_ca_topic_score_codex":0.008227253,"about_ca_topic_score_gemma":0.00594949,"teacher_disagreement_score":0.008227253,"about_ca_system_score_codex":0.0010242703,"about_ca_system_score_gemma":0.0012788939,"threshold_uncertainty_score":0.016358733},"labels":[],"label_agreement":null},{"id":"W2539919541","doi":"10.3905/jwm.2016.19.3.099","title":"Equity Fund Flows and Performance around Economic Recessions","year":2016,"lang":"en","type":"article","venue":"The journal of wealth management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université du Québec à Montréal","funders":"","keywords":"Recession; Equity (law); Economics; Monetary economics; Valuation (finance); Insolvency; Independence (probability theory); Financial economics; Business; Finance; Macroeconomics; Political science; Statistics; Mathematics","score_opus":0.05362770935403951,"score_gpt":0.26681606675622954,"score_spread":0.21318835740219003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2539919541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974632,0.00020057589,0.000050749906,0.00035428588,0.000008932366,0.0000026344617,0.00033984598,0.000007067573,0.0015726229],"genre_scores_gemma":[0.99871194,0.00017650287,0.000024031613,0.000021558979,0.00002379966,0.0000021619212,0.0005206932,0.0000039081237,0.00051542686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999744,0.00004449488,0.000032638327,0.00003150544,0.000059830512,0.000087538814],"domain_scores_gemma":[0.9938706,0.0006551352,0.0040137367,0.000107608845,0.0008126507,0.0005403351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012749966,0.00016805751,0.00018381438,0.0015946673,0.00025260448,0.0010503798,0.00016763037,0.00040086624,0.0016341085],"category_scores_gemma":[0.008055786,0.00008849436,0.00016255138,0.0013202287,0.00044889544,0.0008666339,0.0010852313,0.00059900526,0.00032566208],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000427621,0.000053372733,0.98022115,0.000022811726,0.000052038988,0.00011806865,0.00069240585,0.0016246126,0.0004282095,0.00082569924,0.0016966631,0.013837287],"study_design_scores_gemma":[0.0000025542095,0.000034383807,0.99846363,0.000009498423,0.000008730885,0.000030320836,0.00033690254,0.00034554958,0.00011780964,0.00013474624,0.00051155296,0.0000043630766],"about_ca_topic_score_codex":0.008994171,"about_ca_topic_score_gemma":0.010090244,"teacher_disagreement_score":0.008994171,"about_ca_system_score_codex":0.00082678924,"about_ca_system_score_gemma":0.00031028493,"threshold_uncertainty_score":0.017883599},"labels":[],"label_agreement":null},{"id":"W2540685705","doi":"10.2139/ssrn.2336069","title":"How Do Institutions Trade Around Corporate News?","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Waterloo","funders":"","keywords":"Business; International trade; Political science","score_opus":0.041238183398360835,"score_gpt":0.20822256238478815,"score_spread":0.16698437898642732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2540685705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8415271,0.0051693995,0.0036228558,0.019688016,0.00038879467,0.00003102286,0.00047475024,0.00011347539,0.12898454],"genre_scores_gemma":[0.99536246,0.0007163902,0.00022066066,0.0007583421,0.000252629,0.000005080248,0.000075551914,0.000028520435,0.0025804217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835145,0.00064687146,0.00008277823,0.00021671076,0.00031846002,0.00038369896],"domain_scores_gemma":[0.96425,0.016195262,0.013623506,0.0017775765,0.0021389073,0.0020147057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025789323,0.00020396165,0.00041558826,0.0019768444,0.00072665996,0.010621575,0.00052079716,0.0031357924,0.009731581],"category_scores_gemma":[0.032155957,0.0003363783,0.0003068741,0.0021574497,0.0018101525,0.008588587,0.0012637128,0.00149849,0.0022733859],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014244379,0.0006143122,0.60309356,0.0003213679,0.0009044232,0.0009507008,0.006095761,0.0046521015,0.0026994988,0.14451578,0.02956436,0.20516364],"study_design_scores_gemma":[0.00028740673,0.0004756962,0.61713976,0.00040540725,0.0005596359,0.001020717,0.02635356,0.016723784,0.0034665526,0.26013675,0.073232494,0.00019816725],"about_ca_topic_score_codex":0.0014141424,"about_ca_topic_score_gemma":0.0018126536,"teacher_disagreement_score":0.010621575,"about_ca_system_score_codex":0.0009538675,"about_ca_system_score_gemma":0.00046163448,"threshold_uncertainty_score":0.0325554},"labels":[],"label_agreement":null},{"id":"W2542490652","doi":"10.1109/chuser.2011.6163801","title":"Asset pricing and macro factors in ASEAN5","year":2011,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Macro; Capital asset pricing model; Equity (law); Financial economics; Economics; Econometrics; Quarter (Canadian coin); Asset (computer security); Business; Computer science; Geography; Political science","score_opus":0.06768423025860668,"score_gpt":0.20700650984113583,"score_spread":0.13932227958252916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2542490652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98803407,0.0004722055,0.0016999228,0.0003181432,0.000006174988,0.0000071792238,0.000411691,0.00002446283,0.009026208],"genre_scores_gemma":[0.9982541,0.00018622006,0.00021957493,0.00002242853,0.000007737274,0.0000041872945,0.00035422778,0.0000033876454,0.0009480242],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997017,0.000102469974,0.000023860923,0.000049347,0.000078328994,0.00004436855],"domain_scores_gemma":[0.9983523,0.00064820406,0.0005787385,0.00008099147,0.00019122138,0.00014852638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091620936,0.00021426026,0.00019679603,0.00076582923,0.00034543098,0.0017940848,0.00023798694,0.00026813187,0.0040205186],"category_scores_gemma":[0.0032553014,0.00010854671,0.00029166133,0.001733943,0.00029462407,0.0011430396,0.0005371297,0.00047767055,0.0003714706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001621107,0.00017156138,0.88899946,0.000040408653,0.00023295145,0.0015078573,0.0004977106,0.033297606,0.0011702487,0.029400628,0.0030459857,0.041473575],"study_design_scores_gemma":[0.000009680056,0.0000715056,0.9149773,0.00001921829,0.000058673242,0.00037704495,0.00043665667,0.06941467,0.00052557874,0.009656184,0.004423241,0.000030242227],"about_ca_topic_score_codex":0.031257864,"about_ca_topic_score_gemma":0.017419543,"teacher_disagreement_score":0.031257864,"about_ca_system_score_codex":0.0009740141,"about_ca_system_score_gemma":0.00044054596,"threshold_uncertainty_score":0.06215185},"labels":[],"label_agreement":null},{"id":"W2542933970","doi":"10.3386/w24646","title":"Global Portfolio Diversification for Long-Horizon Investors","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Harvard Business School","keywords":"Diversification (marketing strategy); Economics; Bond; Cash flow; Portfolio; Financial economics; Monetary economics; Volatility (finance); Equity (law); Stock (firearms); Interest rate; Business; Finance","score_opus":0.4144464581912579,"score_gpt":0.4630811606178133,"score_spread":0.048634702426555376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2542933970","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9485791,0.0041301185,0.012964565,0.0020015212,0.000033092732,0.000029100334,0.00014318633,0.000029999408,0.032089345],"genre_scores_gemma":[0.9970583,0.0012367982,0.0005998636,0.00007070079,0.00003097999,0.0000046478694,0.000050514853,0.000002139671,0.0009460365],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998914,0.000026749123,0.00000444015,0.000021935137,0.000025256435,0.00003027072],"domain_scores_gemma":[0.99887186,0.00030946772,0.00046407146,0.0000968496,0.000100415724,0.00015733231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007447114,0.00031018822,0.00031383958,0.0006446163,0.00031443735,0.0012582246,0.00020337422,0.00036974362,0.0033210197],"category_scores_gemma":[0.0024744256,0.00010433394,0.00030492304,0.00056725595,0.00048240257,0.002049688,0.0010849279,0.0007516787,0.00014260471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034027183,0.00020072516,0.39956355,0.0002586776,0.00039339342,0.0014775449,0.0010273213,0.044500984,0.0062890626,0.34023133,0.004750845,0.20096636],"study_design_scores_gemma":[0.000102833095,0.00062113185,0.38411242,0.0004173086,0.0005149644,0.0018942783,0.0025672163,0.08249249,0.00554606,0.5001134,0.021536151,0.00008169979],"about_ca_topic_score_codex":0.0007769272,"about_ca_topic_score_gemma":0.0014729447,"teacher_disagreement_score":0.0033210197,"about_ca_system_score_codex":0.00059869734,"about_ca_system_score_gemma":0.00042855862,"threshold_uncertainty_score":0.011109948},"labels":[],"label_agreement":null},{"id":"W2544492148","doi":"10.1108/mf-10-2015-0282","title":"Returns to buying upward revision and selling downward revision stocks","year":2016,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Stock (firearms); Portfolio; Equity (law); Economics; Financial economics; Excess return; Business; Econometrics; Accounting","score_opus":0.025034821274232393,"score_gpt":0.2189108750439916,"score_spread":0.1938760537697592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2544492148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965146,0.0002689301,0.00024177977,0.00022742672,0.00000871868,0.000015386957,0.00057529385,0.000014125562,0.0021337904],"genre_scores_gemma":[0.9986873,0.000104827326,0.00015353276,0.000023720377,0.0000114787745,0.0000017900888,0.00037152413,0.0000027144877,0.00064314884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884486,0.000081008875,0.000059147485,0.00014655723,0.00067064055,0.00019780274],"domain_scores_gemma":[0.98182905,0.0052293064,0.008213261,0.0008293371,0.0028709434,0.0010280361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015540732,0.00038023197,0.00027398174,0.0010981074,0.0006141242,0.0017654577,0.0005018428,0.00048070552,0.0021812224],"category_scores_gemma":[0.01799994,0.00014788006,0.00047229874,0.0011254529,0.0005086082,0.00065018417,0.00040167477,0.00070713036,0.00025444033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020690184,0.00003327188,0.9857261,0.00001862859,0.000078851524,0.0000614152,0.0001743944,0.0017365661,0.00036168733,0.0002640436,0.00040810162,0.010929977],"study_design_scores_gemma":[0.000005794313,0.00006348348,0.9947878,0.000009137616,0.000035493053,0.00003462456,0.0002166034,0.0036695166,0.0004687771,0.00018124888,0.0005101443,0.000017270568],"about_ca_topic_score_codex":0.6336648,"about_ca_topic_score_gemma":0.63649535,"teacher_disagreement_score":0.6336648,"about_ca_system_score_codex":0.00477958,"about_ca_system_score_gemma":0.0040250677,"threshold_uncertainty_score":0.73698527},"labels":[],"label_agreement":null},{"id":"W2548364842","doi":"10.2139/ssrn.2840549","title":"Which Institutional Investor Types Are Most Informed? Evidence from Reported Portfolio Holdings","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Institutional investor; Business; Portfolio; Financial economics; Finance; Accounting; Financial system; Economics; Corporate governance","score_opus":0.0346398443946841,"score_gpt":0.2297605139211124,"score_spread":0.19512066952642831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548364842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949326,0.0008617705,0.0002552851,0.00042010416,0.000009224231,0.000008431469,0.0004946219,0.0000040452665,0.0030139075],"genre_scores_gemma":[0.99861753,0.0004807546,0.00010735467,0.000066230496,0.000019838682,0.0000037215007,0.00029688765,0.0000016818618,0.0004058917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826425,0.00073654245,0.00030526117,0.00020560903,0.00025225448,0.00023604347],"domain_scores_gemma":[0.8720865,0.06195869,0.055750366,0.0054030586,0.0026623893,0.0021389746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005125256,0.00021365171,0.00030959232,0.0012503964,0.00026849203,0.0020065382,0.0006337572,0.0010738745,0.0057699876],"category_scores_gemma":[0.04781711,0.00025409533,0.00031450603,0.0016297734,0.0006222492,0.0019533248,0.0008058559,0.00068235234,0.00084005605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005923395,0.00011880046,0.9852448,0.000044911365,0.00022095547,0.00014921378,0.00047039645,0.00022475907,0.0001757806,0.0005184949,0.0004098579,0.011829635],"study_design_scores_gemma":[0.000080568796,0.00026590022,0.9900686,0.00010762722,0.00040823172,0.0005862564,0.0017731357,0.00096820167,0.0011662409,0.0025499025,0.0020008793,0.000024417543],"about_ca_topic_score_codex":0.0019505556,"about_ca_topic_score_gemma":0.0018018417,"teacher_disagreement_score":0.0057699876,"about_ca_system_score_codex":0.00019261977,"about_ca_system_score_gemma":0.00017603504,"threshold_uncertainty_score":0.027105272},"labels":[],"label_agreement":null},{"id":"W2549611311","doi":"10.1111/fima.12164","title":"Star Analysts, Overreaction, and Synchronicity: Evidence from China and the United States","year":2016,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Windsor","keywords":"Synchronicity; China; Star (game theory); Stock (firearms); Business; Stock price; Financial economics; Monetary economics; Economics; Psychology; Political science; Geography","score_opus":0.01793687729885165,"score_gpt":0.1988398570622721,"score_spread":0.18090297976342046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549611311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99889815,0.00022663925,0.00004904887,0.00008142433,0.000003938007,0.000003334601,0.00012993763,0.0000014928142,0.0006059559],"genre_scores_gemma":[0.999405,0.00018767938,0.000022570603,0.000027988814,0.000009815014,0.0000015202653,0.00024215289,8.560248e-7,0.00010251443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956125,0.000096845586,0.000054234704,0.000075697746,0.00012948488,0.000082459104],"domain_scores_gemma":[0.9916632,0.0017331226,0.004639678,0.00032282222,0.0008714123,0.00076977955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013072081,0.00022105609,0.00024946552,0.0020442002,0.0004097264,0.00068953563,0.00028712905,0.00022504525,0.0012661911],"category_scores_gemma":[0.004459247,0.00013887072,0.00036384736,0.0027905805,0.00062356476,0.0005765774,0.00086101476,0.00027401256,0.00011359711],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006591391,0.00001941619,0.9957349,0.000012627223,0.000073493306,0.00010465477,0.0004786323,0.0000917648,0.000110331246,0.00010736089,0.00017215093,0.0030288177],"study_design_scores_gemma":[0.0000050360154,0.000020499197,0.9988022,0.0000054964976,0.000035812624,0.000035321646,0.0004196554,0.00031256277,0.000089693465,0.000037852442,0.00023228733,0.000003586011],"about_ca_topic_score_codex":0.06824973,"about_ca_topic_score_gemma":0.08720823,"teacher_disagreement_score":0.06824973,"about_ca_system_score_codex":0.000520923,"about_ca_system_score_gemma":0.0007023605,"threshold_uncertainty_score":0.13570493},"labels":[],"label_agreement":null},{"id":"W2550116943","doi":"10.1007/s10479-016-2380-4","title":"Global portfolio construction with emphasis on conflicting corporate strategies to maximize stockholder wealth","year":2016,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"SFU Community Trust Endowment Fund","keywords":"Stock (firearms); Shareholder; Portfolio; Financial economics; Earnings; Economics; Emerging markets; Business; Context (archaeology); Econometrics; Finance; Corporate governance","score_opus":0.26575713921673744,"score_gpt":0.3940926706013812,"score_spread":0.12833553138464376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550116943","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11929545,0.0006199924,0.86577374,0.00046021928,0.00004788383,0.00007653822,0.000042244843,0.00015006006,0.013533881],"genre_scores_gemma":[0.88832504,0.0005034575,0.107033305,0.00009508292,0.0000512906,0.00008339614,0.00009021384,0.000100110105,0.0037181024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944454,0.00031072515,0.000024016235,0.00007196819,0.000084856845,0.00006386466],"domain_scores_gemma":[0.99916005,0.00043226505,0.00009397505,0.00012136436,0.000115593604,0.00007683404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019416737,0.000883064,0.00090665085,0.00094013015,0.00029076813,0.0017485997,0.00065243716,0.0009790672,0.0024641964],"category_scores_gemma":[0.0040368275,0.00041266295,0.0005966611,0.0012313138,0.0006938041,0.0023283637,0.0022082932,0.0008770002,0.00022006898],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015680314,0.00007547125,0.0044878675,0.00010601254,0.00015297928,0.00017292456,0.0002460402,0.6346754,0.005922968,0.18075524,0.0019412027,0.17130712],"study_design_scores_gemma":[0.000049387643,0.00023441618,0.0014570309,0.000042005628,0.0001032795,0.00012443755,0.00012514638,0.8637956,0.0028049164,0.12836593,0.0028767996,0.000021102145],"about_ca_topic_score_codex":0.00024296885,"about_ca_topic_score_gemma":0.0005036895,"teacher_disagreement_score":0.0024641964,"about_ca_system_score_codex":0.00050622295,"about_ca_system_score_gemma":0.0006134362,"threshold_uncertainty_score":0.010268688},"labels":[],"label_agreement":null},{"id":"W2550680916","doi":"","title":"Emotional responses to financial information","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Finance; Computer science; Business","score_opus":0.02997738479653375,"score_gpt":0.2210935609923745,"score_spread":0.19111617619584076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550680916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8763573,0.0023616296,0.0026291844,0.0052463417,0.001193821,0.00012605182,0.0008219116,0.0000925524,0.111171246],"genre_scores_gemma":[0.9872393,0.0008117784,0.00054483494,0.0022129784,0.0006404955,0.00008753397,0.00025157531,0.000035388035,0.008176191],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99908996,0.0003530294,0.000028237277,0.000087281966,0.00031716598,0.00012439233],"domain_scores_gemma":[0.9904447,0.006555004,0.001156579,0.00033269534,0.00079426245,0.0007166796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009698522,0.00039191698,0.0002884799,0.00043012926,0.0005506368,0.0025004963,0.00023510218,0.0012749145,0.01645049],"category_scores_gemma":[0.02311961,0.00012989451,0.00023672551,0.00041843334,0.0005772469,0.0011896879,0.0010028974,0.0013622398,0.0013396096],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009673583,0.002142486,0.15341747,0.004078596,0.0009316929,0.0063099056,0.12762706,0.0060916743,0.19367273,0.029771538,0.123323046,0.3429603],"study_design_scores_gemma":[0.0003971496,0.0015599639,0.85337055,0.0007246892,0.0005295512,0.002370972,0.035164706,0.00710139,0.007910253,0.027250454,0.063264854,0.0003553791],"about_ca_topic_score_codex":0.00037758678,"about_ca_topic_score_gemma":0.00037118525,"teacher_disagreement_score":0.01645049,"about_ca_system_score_codex":0.0003533897,"about_ca_system_score_gemma":0.00014501385,"threshold_uncertainty_score":0.055032372},"labels":[],"label_agreement":null},{"id":"W2551244938","doi":"10.1108/mf-01-2016-0034","title":"The<i>q</i>-factor and the Fama and French asset pricing models: hedge fund evidence","year":2016,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; University of Ottawa","funders":"Bioenergy Technologies Office","keywords":"Hedge fund; Econometrics; Economics; Capital asset pricing model; Financial economics; Fund of funds; Factor analysis; Asset (computer security); Actuarial science; Computer science; Monetary economics; Finance","score_opus":0.06284411172831976,"score_gpt":0.22206856934156213,"score_spread":0.1592244576132424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551244938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9561668,0.005603202,0.02287259,0.0032482687,0.00011309564,0.00006883135,0.00054698973,0.00013223909,0.011248044],"genre_scores_gemma":[0.9964923,0.000749741,0.0016967957,0.00011690462,0.000086034335,0.000011437587,0.00030203382,0.000008615785,0.00053620344],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782133,0.0012532292,0.00010961576,0.00031547263,0.00031718338,0.00018303779],"domain_scores_gemma":[0.96474665,0.027101275,0.0038958841,0.0019908783,0.0015221289,0.0007432955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009123943,0.00076982315,0.0008760268,0.0016357002,0.00068997144,0.0025273522,0.0011145741,0.0012575712,0.00502196],"category_scores_gemma":[0.028377205,0.00020484022,0.00178567,0.0015006599,0.0011534266,0.0016826037,0.00087965187,0.0010544865,0.000768561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018933148,0.00042130094,0.7116822,0.00041076163,0.0018199846,0.0012003212,0.0012520116,0.049006496,0.00059828477,0.10038309,0.008993819,0.12233845],"study_design_scores_gemma":[0.00049555366,0.001340708,0.3953558,0.00048366765,0.0018301398,0.001087666,0.00317225,0.4609553,0.0016003244,0.117273204,0.016165527,0.00023989912],"about_ca_topic_score_codex":0.026294298,"about_ca_topic_score_gemma":0.005466876,"teacher_disagreement_score":0.026294298,"about_ca_system_score_codex":0.001103334,"about_ca_system_score_gemma":0.00086677476,"threshold_uncertainty_score":0.052282512},"labels":[],"label_agreement":null},{"id":"W2551984794","doi":"10.5539/res.v8n4p210","title":"The Relationship between Firm Sizes and Stock Returns of Service Sector in Ho Chi Minh City Stock Exchange","year":2016,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ho chi minh; Vietnamese; Stock exchange; Stock (firearms); Business; Tertiary sector of the economy; Financial economics; Stock market; Monetary economics; Economics; Econometrics; Finance; Demographic economics; Marketing; Low income; Engineering","score_opus":0.17601145260427717,"score_gpt":0.2952520173929914,"score_spread":0.11924056478871423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551984794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987985,0.00018513788,0.000014800645,0.00014152098,0.000004355043,0.0000020145437,0.00035735883,9.266844e-7,0.0004953047],"genre_scores_gemma":[0.9989592,0.00012408022,0.000011291725,0.0000135586915,0.000008854241,0.0000015336759,0.00041458447,5.0538665e-7,0.00046650495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998745,0.000021813315,0.000017115559,0.000022436012,0.000025964153,0.000038113765],"domain_scores_gemma":[0.9980709,0.00047528523,0.00089589,0.00004729616,0.0002504662,0.00026022914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003924776,0.00010288518,0.000086211505,0.00072323607,0.00014785849,0.00049816753,0.00018575828,0.00015143823,0.0015938022],"category_scores_gemma":[0.0012940932,0.00007830673,0.00016661703,0.0011059996,0.00014688857,0.00033982281,0.0002514338,0.00028527115,0.00015624866],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025635116,0.000014583037,0.99731916,0.000008875589,0.000022521865,0.00010711963,0.00013251624,0.0001175889,0.000082046994,0.00009367372,0.0003278689,0.001748404],"study_design_scores_gemma":[8.725067e-7,0.000009802176,0.9990109,0.000005661071,0.0000114561335,0.000019926361,0.0003252787,0.0003415066,0.000054100834,0.000015603477,0.0002033528,0.0000014251781],"about_ca_topic_score_codex":0.05793719,"about_ca_topic_score_gemma":0.09563024,"teacher_disagreement_score":0.05793719,"about_ca_system_score_codex":0.0006546745,"about_ca_system_score_gemma":0.00052177755,"threshold_uncertainty_score":0.11519992},"labels":[],"label_agreement":null},{"id":"W2554737630","doi":"10.1002/fut.21756","title":"The Prevalence, Sources, and Effects of Herding","year":2015,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Herding; Futures contract; Incentive; Herd behavior; Financial economics; Herd; Economics; Hedge fund; Business; Monetary economics; Microeconomics; Finance; Geography","score_opus":0.015211618856790633,"score_gpt":0.20415462060095518,"score_spread":0.18894300174416456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554737630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99879396,0.00017236818,0.0002600632,0.000077234836,0.0000034391326,0.0000057162238,0.00016737977,0.0000048274633,0.0005149903],"genre_scores_gemma":[0.9995732,0.000044315697,0.00013142836,0.000011310622,0.0000064654787,0.0000028255554,0.00011509733,8.3550026e-7,0.000114548275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987425,0.00037080576,0.00012994019,0.00031103444,0.00025354486,0.00019222422],"domain_scores_gemma":[0.97611374,0.008033175,0.012905403,0.0012542149,0.0008639639,0.00082950504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026685798,0.00014373398,0.0002728124,0.0010479679,0.0003598711,0.000677485,0.0005258183,0.00048139886,0.002218258],"category_scores_gemma":[0.011450141,0.00018807196,0.00038110785,0.00071068393,0.0006783307,0.0010455109,0.0010595678,0.00066923595,0.00021394916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046624064,0.000026751359,0.99562436,0.00000894477,0.00007248177,0.000028171387,0.00025952663,0.00017382186,0.00016092413,0.00007580813,0.00012690364,0.0033957178],"study_design_scores_gemma":[0.0000021771848,0.00006239089,0.9982426,0.000008193308,0.000028109474,0.000048006634,0.00036753103,0.00093125034,0.00009363544,0.00009076332,0.00012084552,0.0000044709413],"about_ca_topic_score_codex":0.006266799,"about_ca_topic_score_gemma":0.009954669,"teacher_disagreement_score":0.006266799,"about_ca_system_score_codex":0.00037937716,"about_ca_system_score_gemma":0.00017719754,"threshold_uncertainty_score":0.014112949},"labels":[],"label_agreement":null},{"id":"W2554986798","doi":"10.1111/fima.12123","title":"Informed Trading in Corporate Bonds Prior to Earnings Announcements","year":2015,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bond; Issuer; Earnings; Corporate bond; Business; Monetary economics; Yield (engineering); Post-earnings-announcement drift; Bond market; Financial system; Financial economics; Accounting; Economics; Earnings response coefficient; Finance","score_opus":0.06794113564465215,"score_gpt":0.23413467765952364,"score_spread":0.1661935420148715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554986798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966325,0.0002901883,0.0005040801,0.00010988067,0.000011400816,0.000008663298,0.0005482461,0.000023441195,0.0018715438],"genre_scores_gemma":[0.9981844,0.00019071792,0.00015678606,0.00001315256,0.000024660698,0.0000037842217,0.00083799934,0.000004076405,0.00058446266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994518,0.00008644354,0.0000666158,0.000097541335,0.00021629948,0.000081351136],"domain_scores_gemma":[0.98665255,0.0044078045,0.007004712,0.0006624377,0.0008055606,0.00046683493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010154175,0.00021640287,0.00045673022,0.0011254702,0.00025443305,0.0018657794,0.0003871399,0.0007002475,0.0018455259],"category_scores_gemma":[0.015381813,0.000285356,0.00018772922,0.0010899699,0.00025310667,0.001413954,0.0005523344,0.00080613623,0.00061246235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009134187,0.00031816887,0.9497968,0.00006393573,0.00017417398,0.000577138,0.0005286543,0.00823996,0.004323215,0.0025061257,0.001034493,0.03152392],"study_design_scores_gemma":[0.000021108079,0.00016076869,0.9762867,0.000031329913,0.000071353454,0.00020085316,0.0003161341,0.016275974,0.0025445768,0.0020737296,0.0019807906,0.00003668519],"about_ca_topic_score_codex":0.008174654,"about_ca_topic_score_gemma":0.011976514,"teacher_disagreement_score":0.008174654,"about_ca_system_score_codex":0.00046360187,"about_ca_system_score_gemma":0.00032753995,"threshold_uncertainty_score":0.016254127},"labels":[],"label_agreement":null},{"id":"W2556713308","doi":"10.2139/ssrn.2863139","title":"Bond Laddering and Bond Indexing: An Empirical Comparison","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Laddering; Bond; Search engine indexing; Business; Computer science; Information retrieval; Finance","score_opus":0.03552855697200194,"score_gpt":0.26062939895508713,"score_spread":0.2251008419830852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556713308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96683216,0.0052848994,0.0059757587,0.0004639926,0.000046775593,0.00008842702,0.0009506977,0.00011598776,0.020241274],"genre_scores_gemma":[0.99442947,0.0012688668,0.0008750264,0.00004770596,0.0000787029,0.0000119619035,0.0010069341,0.00003097071,0.0022504965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986719,0.00040653406,0.00018374393,0.00019827271,0.00040807185,0.00013155401],"domain_scores_gemma":[0.90084875,0.06819598,0.017111275,0.006200175,0.0038377268,0.0038060718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067937276,0.0002783304,0.00074994477,0.0034120313,0.00048503996,0.0039324625,0.0013814192,0.0011665178,0.019625999],"category_scores_gemma":[0.06768815,0.00024325468,0.00057924003,0.00588874,0.0010162663,0.006071793,0.0012207115,0.0014060189,0.0019568708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037564728,0.0014470945,0.8101136,0.00039284612,0.00037060014,0.00025302204,0.0013561136,0.0034216894,0.0017513318,0.042882487,0.002558873,0.13169587],"study_design_scores_gemma":[0.00028406054,0.0011106179,0.8915488,0.00023585203,0.0005415076,0.0006267258,0.00228936,0.027905704,0.0015407451,0.067763336,0.0060616373,0.00009161191],"about_ca_topic_score_codex":0.0029915557,"about_ca_topic_score_gemma":0.002542909,"teacher_disagreement_score":0.019625999,"about_ca_system_score_codex":0.00071270776,"about_ca_system_score_gemma":0.000665959,"threshold_uncertainty_score":0.06565547},"labels":[],"label_agreement":null},{"id":"W2556889995","doi":"10.1177/2319510x13483508","title":"Seasonality, Quarterly Impact on Net Asset Value of Equity Linked Savings Schemes","year":2013,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Management Research and Innovation","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit root; Econometrics; Equity (law); Economics; Unit trust; Net asset value; Quarter (Canadian coin); Efficient-market hypothesis; Statistics; Financial economics; Mathematics; Finance; Geography; Stock market","score_opus":0.08329650679282034,"score_gpt":0.3407182443676266,"score_spread":0.25742173757480624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556889995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99802566,0.000076814096,0.00018171243,0.000045941997,0.0000054096854,0.0000030878211,0.00032688281,0.000005084353,0.0013295],"genre_scores_gemma":[0.99916303,0.00003170269,0.00006004518,0.000005060785,0.000006658459,0.0000013417882,0.00030408544,0.0000018236018,0.00042627793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977916,0.00004285442,0.000023750408,0.00004475029,0.00007257873,0.000036988506],"domain_scores_gemma":[0.9979366,0.00056974473,0.0009805217,0.000113803806,0.00027875594,0.000120691366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055381045,0.000053188473,0.000091316535,0.00053276046,0.00008092611,0.00046029253,0.00011087667,0.0001113713,0.0015600028],"category_scores_gemma":[0.0033430338,0.00004265975,0.00010432609,0.0005622199,0.00014534082,0.00030218644,0.00022959469,0.00017923892,0.00019319623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021900507,0.000060540817,0.96204454,0.000029510133,0.000037914102,0.00017404166,0.00042372,0.0018013561,0.0034094832,0.0015292831,0.0007568158,0.02951379],"study_design_scores_gemma":[0.0000013459787,0.000055701737,0.9965049,0.0000045023176,0.0000063789525,0.000054512067,0.00016332726,0.0017694802,0.00029279295,0.00018028665,0.0009641687,0.0000026583316],"about_ca_topic_score_codex":0.0030497438,"about_ca_topic_score_gemma":0.0045112954,"teacher_disagreement_score":0.0030497438,"about_ca_system_score_codex":0.00029810052,"about_ca_system_score_gemma":0.00013293744,"threshold_uncertainty_score":0.006063938},"labels":[],"label_agreement":null},{"id":"W2557919047","doi":"10.1007/s11408-017-0285-0","title":"Hedge funds as international liquidity providers: evidence from convertible bond arbitrage in Canada","year":2017,"lang":"en","type":"article","venue":"Financial markets and portfolio management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Convertible arbitrage; Market liquidity; Convertible bond; Hedge fund; Monetary economics; Arbitrage; Bond; Liquidity risk; Economics; Liquidity crisis; Accounting liquidity; Liberian dollar; Financial system; Business; Financial economics; Risk arbitrage; Finance; Capital asset pricing model; Arbitrage pricing theory","score_opus":0.028232041419148993,"score_gpt":0.22510189992559362,"score_spread":0.19686985850644462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557919047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987159,0.0020497798,0.00007962679,0.0013341593,0.000010596644,0.000022556489,0.000659478,0.0000049408472,0.008679876],"genre_scores_gemma":[0.9961747,0.0011561706,0.00007706919,0.000110106106,0.00000658459,0.000003725211,0.0003330207,0.000003916693,0.0021348768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879175,0.00011262448,0.000046238896,0.00012885962,0.00042427797,0.0004963778],"domain_scores_gemma":[0.9901338,0.0022584263,0.0022653635,0.00042358678,0.0031640748,0.0017546605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014961781,0.00024778506,0.00044301254,0.0016780804,0.004350273,0.004808778,0.001375724,0.0011675005,0.003212208],"category_scores_gemma":[0.011552299,0.00028831328,0.00029194148,0.004551728,0.0021573922,0.0012574752,0.0014458555,0.0016315753,0.0001730151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001181004,0.00027669393,0.91132075,0.00014634854,0.00018181509,0.0006720352,0.016205017,0.000820002,0.0005560369,0.0179092,0.008630444,0.042100735],"study_design_scores_gemma":[0.00019343555,0.000066947214,0.9516554,0.00020427885,0.00033725964,0.00021800002,0.025210127,0.0014991348,0.00077225093,0.0012816726,0.018496143,0.00006543557],"about_ca_topic_score_codex":0.99328035,"about_ca_topic_score_gemma":0.9968053,"teacher_disagreement_score":0.026223093,"about_ca_system_score_codex":0.026223093,"about_ca_system_score_gemma":0.038556382,"threshold_uncertainty_score":0.19026273},"labels":[],"label_agreement":null},{"id":"W2558339926","doi":"","title":"Derivatives Trading Information embedded in the trading volume of currency options","year":2006,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Pound (networking); Currency; Volume (thermodynamics); Algorithmic trading; Electronic trading; High-frequency trading; Alternative trading system; Business; Monetary economics; Exchange rate; Economics; Trading turret; Financial economics; Open outcry; Finance; Computer science","score_opus":0.02897297473351841,"score_gpt":0.2170852915829491,"score_spread":0.1881123168494307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558339926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906098,0.0006591263,0.0033853834,0.00019104482,0.000025087364,0.000010154798,0.00075875357,0.00006534548,0.0042952695],"genre_scores_gemma":[0.99853265,0.00020100933,0.00040159814,0.000009896885,0.000033060263,0.0000028850234,0.00048356657,0.000008996036,0.00032625013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933136,0.00012426917,0.00006962657,0.00012326236,0.0002960031,0.000055567816],"domain_scores_gemma":[0.9769304,0.0151382005,0.0048987167,0.0014323104,0.0010821085,0.0005182471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010686168,0.00037528417,0.0006293623,0.001906543,0.0002448691,0.0026023635,0.00049920875,0.00075041194,0.003317171],"category_scores_gemma":[0.021651395,0.0003379242,0.00028278635,0.0024342695,0.00045485326,0.0024236606,0.0006462122,0.00081850943,0.00052131567],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014019094,0.0003495559,0.86090946,0.00018341174,0.00039145024,0.0011265782,0.0012127991,0.03559702,0.012516287,0.008563062,0.0008781224,0.07687043],"study_design_scores_gemma":[0.000025371208,0.00018746212,0.93439907,0.00005041348,0.0001176763,0.0006528053,0.00024319117,0.05061957,0.0026101149,0.0091755595,0.0018289837,0.00008970238],"about_ca_topic_score_codex":0.002338629,"about_ca_topic_score_gemma":0.001865046,"teacher_disagreement_score":0.003317171,"about_ca_system_score_codex":0.0004120354,"about_ca_system_score_gemma":0.000227062,"threshold_uncertainty_score":0.011097074},"labels":[],"label_agreement":null},{"id":"W2559551386","doi":"10.1007/978-3-319-33446-2_17","title":"Pricing Shared-Loss Hedge Fund Fee Structures","year":2016,"lang":"en","type":"book-chapter","venue":"Springer proceedings in mathematics & statistics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Performance fee; Hedge fund; Fund administration; Business; Open-end fund; Finance; Management fee; Fund of funds; Context (archaeology); Actuarial science; Institutional investor; Market liquidity; Corporate governance","score_opus":0.0459460198948429,"score_gpt":0.23861972729663056,"score_spread":0.19267370740178766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559551386","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15417129,0.0040247496,0.65400827,0.0029553135,0.0005372846,0.00019480959,0.00016435648,0.0002966978,0.18364725],"genre_scores_gemma":[0.9191508,0.0013702902,0.054823846,0.00013776639,0.00035759216,0.000085448235,0.00007349636,0.00008797856,0.023912758],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99887544,0.0003056838,0.000046619858,0.00010762763,0.000529854,0.00013462707],"domain_scores_gemma":[0.9987575,0.00054311875,0.00017322488,0.00023301065,0.00016383812,0.00012937162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019038002,0.00065376604,0.000591034,0.0007122393,0.0005840367,0.004773761,0.0014377957,0.0019400193,0.005300708],"category_scores_gemma":[0.008592015,0.00024032027,0.00050188176,0.0007266824,0.0016267116,0.00595209,0.001674869,0.0019361741,0.0008636016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004551228,0.000038034403,0.00043720193,0.0000289982,0.00001206527,0.00013354217,0.00014493018,0.015045497,0.0013783566,0.9471492,0.0018067469,0.03377991],"study_design_scores_gemma":[0.000034510653,0.000098985125,0.00090127875,0.000056908,0.00001745464,0.00032797677,0.000108873355,0.11403148,0.0016360779,0.8694973,0.013246546,0.000042751948],"about_ca_topic_score_codex":0.00040218915,"about_ca_topic_score_gemma":0.00040212474,"teacher_disagreement_score":0.005300708,"about_ca_system_score_codex":0.0018114564,"about_ca_system_score_gemma":0.0007706364,"threshold_uncertainty_score":0.01773262},"labels":[],"label_agreement":null},{"id":"W2559800761","doi":"10.2139/ssrn.2878945","title":"Asymmetric Effects of the Limit Order Book on Price Dynamics","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; HEC Montréal","funders":"","keywords":"Order (exchange); Limit (mathematics); Order book; Dynamics (music); Mathematical economics; Economics; Econometrics; Mathematics; Statistical physics; Physics; Mathematical analysis","score_opus":0.006145759461744053,"score_gpt":0.17895220976206147,"score_spread":0.1728064503003174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559800761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9315694,0.0005876821,0.03411796,0.0022099179,0.00012903249,0.00001919101,0.00026680197,0.0002468082,0.030853227],"genre_scores_gemma":[0.99660563,0.00019958976,0.0006283986,0.000059172,0.00008870859,0.0000050890726,0.000042124786,0.000041988973,0.0023292997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942684,0.00017279614,0.000033411787,0.00009175768,0.00014991371,0.00012538441],"domain_scores_gemma":[0.97850823,0.015651971,0.0020878061,0.0016512434,0.00076691847,0.0013338837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001977615,0.00031704662,0.0011392799,0.0010909276,0.00048629436,0.0035397927,0.00081710395,0.0015445608,0.01289849],"category_scores_gemma":[0.03440638,0.00062353985,0.00049680367,0.00074078335,0.0013208135,0.0062832115,0.001361168,0.0023412316,0.0010364027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010237166,0.00047796857,0.011695757,0.00018925534,0.000101075566,0.0018770717,0.0006886467,0.091767825,0.017972017,0.83645856,0.0061743786,0.031573784],"study_design_scores_gemma":[0.00017482907,0.00012477467,0.014553523,0.00002764979,0.00007247261,0.000479973,0.00014782806,0.4994542,0.0022549753,0.48153925,0.001079088,0.00009151827],"about_ca_topic_score_codex":0.00097473356,"about_ca_topic_score_gemma":0.0007759265,"teacher_disagreement_score":0.01289849,"about_ca_system_score_codex":0.0007631228,"about_ca_system_score_gemma":0.00048458084,"threshold_uncertainty_score":0.04314971},"labels":[],"label_agreement":null},{"id":"W2560071111","doi":"10.2139/ssrn.2878329","title":"Fair Value Measurement Disclosure by U.S. Closed-End Funds","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Closed-end fund; Business; Value (mathematics); Accounting; Actuarial science; Economics; Mathematics; Finance; Statistics; Market liquidity","score_opus":0.017898063905446533,"score_gpt":0.19335965821628281,"score_spread":0.17546159431083627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560071111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77434087,0.008410393,0.023178529,0.019347336,0.0011848955,0.00016423746,0.002266707,0.00057606294,0.170531],"genre_scores_gemma":[0.9943375,0.00026884745,0.00082259043,0.00036725053,0.00011172121,0.00001707026,0.0001385658,0.000008833009,0.003927485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9931149,0.002904775,0.00041506768,0.00075316906,0.0019057458,0.0009063698],"domain_scores_gemma":[0.9592779,0.019083884,0.0090118125,0.0061691636,0.0052403864,0.0012167501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009566088,0.0002716051,0.0005032159,0.0011106774,0.0013694754,0.004804948,0.00065473653,0.0027676604,0.0056479573],"category_scores_gemma":[0.06530432,0.00020928758,0.00030783168,0.0014286083,0.0011378461,0.002893733,0.0015109681,0.0015080529,0.0009803557],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00262112,0.00056907424,0.07819501,0.00020592113,0.00021068903,0.000450152,0.003497564,0.0070809335,0.0032819654,0.5003751,0.09174123,0.3117712],"study_design_scores_gemma":[0.0006115493,0.0010471424,0.106914684,0.0007457884,0.00028808255,0.00096909056,0.00179579,0.04662704,0.023351865,0.6766915,0.1407066,0.00025089795],"about_ca_topic_score_codex":0.0027850776,"about_ca_topic_score_gemma":0.003564163,"teacher_disagreement_score":0.009566088,"about_ca_system_score_codex":0.0022593935,"about_ca_system_score_gemma":0.0022752048,"threshold_uncertainty_score":0.050590873},"labels":[],"label_agreement":null},{"id":"W2561171231","doi":"10.2139/ssrn.1956433","title":"Northern Exposure: How Canadian Small Stock Investments Can Benefit Investors","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Business; Stock (firearms); Finance; Financial economics; Economics; Geography","score_opus":0.037495260579933215,"score_gpt":0.17699092040616463,"score_spread":0.1394956598262314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561171231","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23608074,0.0028617852,0.0014125562,0.052067395,0.0003574914,0.0000485763,0.0007032355,0.00014929102,0.706319],"genre_scores_gemma":[0.92041904,0.0014369241,0.000527268,0.0019280887,0.000081126265,0.000008033362,0.00013203894,0.000026908252,0.07544061],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934095,0.00007331792,0.0000072482494,0.000042529573,0.00022102582,0.0003149708],"domain_scores_gemma":[0.9984493,0.0001767571,0.00010672822,0.00006885899,0.00059919804,0.0005990509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007983107,0.00023530806,0.00016840592,0.0006841622,0.0043251337,0.0056518395,0.00054587494,0.001203236,0.016957643],"category_scores_gemma":[0.0047547393,0.000091300164,0.00025904956,0.0011523301,0.0013977275,0.0015482531,0.0011727996,0.0010565604,0.00080784643],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006640844,0.00016950697,0.080445856,0.0001462748,0.00008038599,0.0009973615,0.009300324,0.0037662005,0.0017621063,0.39388376,0.287428,0.22135612],"study_design_scores_gemma":[0.000112794165,0.00012113333,0.14525656,0.000278091,0.00021317868,0.00032626558,0.030207343,0.0043339008,0.0017985214,0.08061409,0.7365883,0.00014976168],"about_ca_topic_score_codex":0.96480644,"about_ca_topic_score_gemma":0.9869775,"teacher_disagreement_score":0.036930025,"about_ca_system_score_codex":0.036930025,"about_ca_system_score_gemma":0.03375368,"threshold_uncertainty_score":0.26794732},"labels":[],"label_agreement":null},{"id":"W2561659178","doi":"10.1111/irfi.12110","title":"Specification Error, Estimation Risk, and Conditional Portfolio Rules","year":2016,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Econometrics; Volatility (finance); Portfolio; Specification; Economics; Vector autoregression; Dividend; Financial economics; Finance","score_opus":0.02908798974440364,"score_gpt":0.259274213780502,"score_spread":0.2301862240360984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561659178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2091166,0.0010139432,0.78333396,0.0022377716,0.00006988702,0.00014751521,0.00044940435,0.00023286237,0.0033979903],"genre_scores_gemma":[0.96930236,0.00039962083,0.028201573,0.00025261138,0.00008575658,0.00011809728,0.00064113043,0.000047110803,0.0009517824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97556204,0.013561507,0.002543333,0.003070181,0.0044166353,0.00084635545],"domain_scores_gemma":[0.5347695,0.4081388,0.024766097,0.024857214,0.006682049,0.0007863236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04626955,0.00065421197,0.001434301,0.0019037114,0.0004689539,0.0033724445,0.0019767843,0.0016278443,0.0022633246],"category_scores_gemma":[0.2286428,0.0007136015,0.0011497452,0.0016075653,0.0029923054,0.0034284047,0.0020110426,0.0032090642,0.00027689716],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003518222,0.0002369573,0.13839765,0.00027645027,0.0016325568,0.00062607456,0.0005717684,0.38076642,0.0014419262,0.39736927,0.0019934473,0.076335646],"study_design_scores_gemma":[0.00008166405,0.00018983531,0.022499742,0.00021525564,0.00021674746,0.00028119647,0.00016216536,0.6276407,0.0031569882,0.34431556,0.001138597,0.000101538775],"about_ca_topic_score_codex":0.002341364,"about_ca_topic_score_gemma":0.0014649044,"teacher_disagreement_score":0.04626955,"about_ca_system_score_codex":0.0009179206,"about_ca_system_score_gemma":0.00095564267,"threshold_uncertainty_score":0.24469972},"labels":[],"label_agreement":null},{"id":"W2561888672","doi":"10.5539/ijef.v9n1p96","title":"Seasoned Equity Offerings as Technical Market Anomalies: Long-Term Temporal Trading Functionalities","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Market timing; Speculation; Term (time); Business; Financial economics; Trading strategy; High-frequency trading; Stock (firearms); Finance; Algorithmic trading; Initial public offering; Economics; Monetary economics; History","score_opus":0.0376500349538782,"score_gpt":0.24930354108094216,"score_spread":0.21165350612706396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561888672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47887212,0.004171299,0.44473886,0.0015436272,0.0004011698,0.00011803511,0.0026710483,0.0011633063,0.06632059],"genre_scores_gemma":[0.9698396,0.00084966776,0.02290113,0.000088365196,0.00028092982,0.00003844107,0.00085858913,0.000105807216,0.005037575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99946004,0.00009448754,0.000041896015,0.0001377744,0.00019990692,0.000065839056],"domain_scores_gemma":[0.9984707,0.00047324356,0.0006003257,0.00021031713,0.00015966182,0.000085664324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006720658,0.00044742486,0.00025201633,0.0013983232,0.00027645717,0.0033786623,0.0005899244,0.0006279016,0.0029616826],"category_scores_gemma":[0.0028151444,0.00020679065,0.00046838654,0.0014090316,0.0006517094,0.0037171566,0.0010940754,0.0008540733,0.00038142514],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029801734,0.0001493101,0.08385313,0.00028447216,0.00011943851,0.0016018994,0.0013474805,0.029160585,0.015790874,0.65975827,0.0046034697,0.20303299],"study_design_scores_gemma":[0.00003078853,0.0002325844,0.14401273,0.00022780233,0.00017828187,0.0038707824,0.0014169728,0.38858938,0.00841031,0.3568579,0.096005715,0.00016676678],"about_ca_topic_score_codex":0.0013653472,"about_ca_topic_score_gemma":0.0009343174,"teacher_disagreement_score":0.0033786623,"about_ca_system_score_codex":0.00047994783,"about_ca_system_score_gemma":0.00034397995,"threshold_uncertainty_score":0.009907842},"labels":[],"label_agreement":null},{"id":"W2562398266","doi":"10.5430/bmr.v5n4p62","title":"Validity of the Capital Asset Pricing Model (CAPM) for Securities Trading at the Nairobi Securities Exchange (NSE)","year":2016,"lang":"en","type":"article","venue":"Business and Management Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Economics; Financial economics; Econometrics; Value (mathematics); Capital market; Risk–return spectrum; Actuarial science; Business; Finance; Statistics; Mathematics","score_opus":0.12912925055752605,"score_gpt":0.28505221290591626,"score_spread":0.1559229623483902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562398266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.843984,0.0022414334,0.10597853,0.007978678,0.00020801568,0.00035739268,0.0010365262,0.00022540303,0.03798988],"genre_scores_gemma":[0.9908764,0.00039424465,0.00723377,0.00026192644,0.000061348415,0.00007516007,0.00037375346,0.000018600373,0.0007048311],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99118656,0.004628854,0.00039061342,0.0010910894,0.0022011127,0.0005018537],"domain_scores_gemma":[0.94572586,0.041297816,0.0060242596,0.0032484608,0.0032999266,0.00040377653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017528467,0.00071095076,0.0012293649,0.0019778963,0.0010296695,0.0033469845,0.0022387763,0.0018029518,0.0022250228],"category_scores_gemma":[0.0978858,0.0004773146,0.00081947475,0.001557338,0.0018426374,0.0035158375,0.0014886559,0.00201083,0.00063584663],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007022449,0.0004952562,0.42542186,0.00055340264,0.0008066003,0.0014399089,0.0019266403,0.18943106,0.0011876785,0.27906796,0.008244439,0.09072284],"study_design_scores_gemma":[0.000090120375,0.00036256498,0.07867883,0.00029045666,0.00011898626,0.0005904991,0.0010701779,0.8089874,0.00068419543,0.10384056,0.0051906244,0.00009563112],"about_ca_topic_score_codex":0.019283889,"about_ca_topic_score_gemma":0.009958867,"teacher_disagreement_score":0.019283889,"about_ca_system_score_codex":0.003382836,"about_ca_system_score_gemma":0.0048867757,"threshold_uncertainty_score":0.09270048},"labels":[],"label_agreement":null},{"id":"W2563482909","doi":"10.2139/ssrn.2890944","title":"Short-Horizon Beta or Long-Horizon Alpha?","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Horizon; Alpha (finance); BETA (programming language); Economics; Econometrics; Mathematics; Statistics; Computer science; Geometry","score_opus":0.02344577981597976,"score_gpt":0.22661969204876758,"score_spread":0.20317391223278783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563482909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3275372,0.07997152,0.108126566,0.31272683,0.010477835,0.000028644603,0.0012076097,0.00041545366,0.15950835],"genre_scores_gemma":[0.9619867,0.009869314,0.0020580715,0.0040309574,0.008916641,0.000011333701,0.00011576482,0.00008371094,0.012927457],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994972,0.00019475255,0.000029422143,0.00012076868,0.00007205927,0.00008578691],"domain_scores_gemma":[0.9856639,0.0103028035,0.0016121529,0.0005030532,0.00091281347,0.0010052609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029005061,0.0004992587,0.0009280518,0.0008123233,0.0004479856,0.0035007491,0.00077085564,0.0027682672,0.016514478],"category_scores_gemma":[0.030125001,0.00024006286,0.00023954749,0.0009211058,0.0025171044,0.012780805,0.0005522517,0.002460761,0.002260231],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060541346,0.00015274249,0.012898273,0.00042328163,0.00012428113,0.00039198066,0.0007038106,0.002265859,0.00053101586,0.74132234,0.058717005,0.18186407],"study_design_scores_gemma":[0.000034342593,0.000046780413,0.006341662,0.00014391118,0.000041216226,0.00025255245,0.000569345,0.005004835,0.00019713762,0.97524816,0.012091321,0.000028882541],"about_ca_topic_score_codex":0.00086146774,"about_ca_topic_score_gemma":0.000613602,"teacher_disagreement_score":0.016514478,"about_ca_system_score_codex":0.0005020313,"about_ca_system_score_gemma":0.00045603001,"threshold_uncertainty_score":0.055246413},"labels":[],"label_agreement":null},{"id":"W2563560249","doi":"10.5430/ijfr.v8n1p79","title":"Tick Size Reduction and the Components of the Bid-Ask Spread on the Taiwan Stock Exchange","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tick size; Stock exchange; Order (exchange); Econometrics; Stock market; Tick; Monetary economics; Stock (firearms); Market microstructure; Economics; Business; Financial economics; Biology; Geography; Finance; Ecology","score_opus":0.09941214218281018,"score_gpt":0.3110585593184282,"score_spread":0.211646417135618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563560249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99963045,0.000030067285,0.00003687478,0.000012247533,0.0000011171746,0.0000018273561,0.00003079834,0.0000020069235,0.00025462822],"genre_scores_gemma":[0.99963963,0.000024875138,0.000045708817,0.0000039176743,0.0000037644163,0.0000022409306,0.000109744324,0.0000011013109,0.00016887645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997694,0.00006562233,0.000023163131,0.00003147948,0.00006830753,0.000042068277],"domain_scores_gemma":[0.9950305,0.0023022403,0.0016298363,0.00030643132,0.00036862306,0.00036235442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070265203,0.00025990378,0.00019747515,0.00060345075,0.00014355168,0.0005163215,0.00023473644,0.00027697874,0.0018616519],"category_scores_gemma":[0.006230925,0.000073511874,0.00026230008,0.00047078132,0.0002404532,0.0004677425,0.00027711134,0.0005392437,0.00019153758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016722792,0.0008716323,0.9391527,0.000055774755,0.00021742917,0.00044968797,0.0003492511,0.012673737,0.012916643,0.001033772,0.00034185313,0.030265152],"study_design_scores_gemma":[0.000013100862,0.00029798746,0.9900871,0.0000030422254,0.000036227775,0.000042022704,0.00010558957,0.00808642,0.00096155674,0.00022598717,0.00013130474,0.000009646474],"about_ca_topic_score_codex":0.0049266415,"about_ca_topic_score_gemma":0.0047499696,"teacher_disagreement_score":0.0049266415,"about_ca_system_score_codex":0.00028525782,"about_ca_system_score_gemma":0.00024721283,"threshold_uncertainty_score":0.009795964},"labels":[],"label_agreement":null},{"id":"W2564453907","doi":"10.33301/2014.16.02.02","title":"The Profitability of the Moving Average Strategy in the French Stock Market","year":2014,"lang":"en","type":"article","venue":"Journal of Economics and Development","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Profitability index; Moving average; Volatility (finance); Econometrics; Market timing; Economics; Transaction cost; Stock (firearms); Profit (economics); Trading strategy; Lag; Stock market; Financial economics; Business; Statistics; Mathematics; Computer science; Finance; Microeconomics; Portfolio; Geography","score_opus":0.026301289978085805,"score_gpt":0.20009224733395686,"score_spread":0.17379095735587105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564453907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99561936,0.0012350446,0.001068499,0.00018034903,0.000006734412,0.000004403712,0.00014984448,0.00001706326,0.00171874],"genre_scores_gemma":[0.99935466,0.00016712258,0.00012855469,0.000008674443,0.000013236258,0.0000011484029,0.0001136861,0.000001632571,0.00021130282],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999509,0.00009813503,0.00003309776,0.000101230384,0.00016927728,0.00008919657],"domain_scores_gemma":[0.9953525,0.0015180097,0.002155503,0.00018266626,0.0005423983,0.00024897946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015457069,0.00023707721,0.00024149215,0.0016566773,0.00024810468,0.001362647,0.000293609,0.0004691529,0.0012327114],"category_scores_gemma":[0.0066365753,0.00009537626,0.0002784509,0.0009493763,0.00044010047,0.0010819909,0.0003165193,0.00030191863,0.00023517753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002491394,0.000115580166,0.9154418,0.000053109077,0.00033780743,0.00066749385,0.00033082027,0.024275905,0.0024624201,0.00796307,0.0011904024,0.046912514],"study_design_scores_gemma":[0.00001122745,0.0002454941,0.96236616,0.000019532603,0.000092644856,0.0004301917,0.00025867083,0.031455033,0.00086887274,0.0025609613,0.0016563359,0.000034792214],"about_ca_topic_score_codex":0.010350412,"about_ca_topic_score_gemma":0.0074486863,"teacher_disagreement_score":0.010350412,"about_ca_system_score_codex":0.0013949568,"about_ca_system_score_gemma":0.00034388946,"threshold_uncertainty_score":0.020580292},"labels":[],"label_agreement":null},{"id":"W2564760643","doi":"10.5539/ijef.v9n1p78","title":"Improvement and Test of Stock Index Futures Trading Model Based on Bollinger Bands","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Jinan University","keywords":"Futures contract; Stock index futures; Econometrics; Stock (firearms); Trading strategy; Computer science; Index (typography); Profitability index; Financial economics; Economics; Stock market index; Stock market; Finance; Geography","score_opus":0.020645169756768736,"score_gpt":0.21261553318936274,"score_spread":0.191970363432594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564760643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6783479,0.00048052377,0.31031278,0.0006077325,0.00006783788,0.000100220605,0.00020444379,0.00041648975,0.009462107],"genre_scores_gemma":[0.98865473,0.00017574956,0.009292512,0.00002820781,0.000020812093,0.000043779746,0.00013951387,0.000031707063,0.0016128756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990934,0.0003179084,0.0000751086,0.00017941349,0.0002203568,0.000113728915],"domain_scores_gemma":[0.9984403,0.00083641824,0.00021479667,0.00012748316,0.0003088889,0.00007209843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020345042,0.0006104088,0.0008012013,0.00083337683,0.00055271806,0.00180326,0.0014831511,0.0010226166,0.0025058815],"category_scores_gemma":[0.006182135,0.00038127208,0.0011065233,0.00054735196,0.0006864298,0.002803416,0.00083039195,0.0012023768,0.00026585287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019318037,0.000110984096,0.01896577,0.000082763814,0.00010003646,0.00040489755,0.00026996684,0.9246084,0.0023849646,0.029422864,0.0010601868,0.022396028],"study_design_scores_gemma":[0.000009552417,0.000019277377,0.0006825517,0.0000028150264,0.00000893177,0.00002471992,0.000015377651,0.99648774,0.0001601412,0.0024812133,0.00010007665,0.0000076060674],"about_ca_topic_score_codex":0.013201299,"about_ca_topic_score_gemma":0.0030520686,"teacher_disagreement_score":0.013201299,"about_ca_system_score_codex":0.0007716336,"about_ca_system_score_gemma":0.0010474778,"threshold_uncertainty_score":0.026248932},"labels":[],"label_agreement":null},{"id":"W2567370877","doi":"","title":"In Search of a Winning Combination-Evidence from India","year":2016,"lang":"en","type":"article","venue":"Euroeconomica","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fund of funds; Portfolio; Passive management; Closed-end fund; Open-end fund; Business; Finance; Index fund; Mutual fund; Institutional investor; Global assets under management; Investment management; Assets under management; Quarter (Canadian coin); Commodity pool; Economics; Microeconomics","score_opus":0.04300550495993376,"score_gpt":0.23722791490570178,"score_spread":0.194222409945768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567370877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89189595,0.008325661,0.0008031507,0.011793944,0.00012587417,0.00007147289,0.0010940859,0.00002051855,0.08586942],"genre_scores_gemma":[0.9950322,0.0016132275,0.00014341953,0.001041269,0.000050488514,0.0000073705787,0.00025007565,0.000007829727,0.0018540637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99597186,0.001357174,0.0003249247,0.0006151187,0.0010734472,0.00065747864],"domain_scores_gemma":[0.9705091,0.013781235,0.009703692,0.0019419048,0.0024807581,0.0015833622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033169533,0.00041714634,0.00061874464,0.0016976164,0.0013519229,0.004527563,0.0015220504,0.0009638949,0.015762929],"category_scores_gemma":[0.01857132,0.00027174182,0.00057584693,0.0028666584,0.0029136268,0.002869926,0.0033694939,0.0021750024,0.002044525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0058694673,0.0006984701,0.71696603,0.003178201,0.00257004,0.004406454,0.012276931,0.00087599846,0.0011912514,0.08937932,0.02292094,0.13966691],"study_design_scores_gemma":[0.00043059484,0.0009196919,0.798896,0.0018189212,0.0025225044,0.0037537566,0.06371313,0.0013287405,0.003294346,0.027399912,0.095797054,0.00012524198],"about_ca_topic_score_codex":0.01062178,"about_ca_topic_score_gemma":0.01506405,"teacher_disagreement_score":0.015762929,"about_ca_system_score_codex":0.0009517863,"about_ca_system_score_gemma":0.0012065524,"threshold_uncertainty_score":0.05273223},"labels":[],"label_agreement":null},{"id":"W2568019886","doi":"10.5539/ibr.v10n3p1","title":"Does the CBOE Volatility Index Predict Downside Risk at the Tokyo Stock Exchange?","year":2016,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Economics; Predictability; Downside risk; Econometrics; Volatility (finance); Probit model; Index (typography); Stock exchange; Financial economics; Stock market index; Stock market; Statistics; Mathematics; Finance; Portfolio; Geography","score_opus":0.06563597503493161,"score_gpt":0.29920995244268966,"score_spread":0.23357397740775804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568019886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989121,0.00010313739,0.00027909788,0.000100143574,0.000007861494,0.0000022656288,0.000080082704,0.0000066229977,0.00050871755],"genre_scores_gemma":[0.99944,0.00006146716,0.000066814995,0.000011377721,0.000020048303,0.0000010205846,0.00022046268,0.0000020155974,0.00017685707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985826,0.000027139835,0.000014524122,0.000029854074,0.000035589754,0.000034552195],"domain_scores_gemma":[0.99777645,0.0005307408,0.001038354,0.00016277884,0.00018213318,0.0003094785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006180127,0.00038583914,0.00026864928,0.0007178878,0.00015796602,0.000947221,0.00022240278,0.00043376524,0.0009779391],"category_scores_gemma":[0.0035472447,0.00015597879,0.0003475177,0.0005519484,0.0002835704,0.00087442354,0.0005023475,0.00066011114,0.00028212415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007190189,0.000028714428,0.9943626,0.000005416196,0.000061027877,0.00010413804,0.000080614904,0.0015826045,0.00039173293,0.00018282305,0.00018835162,0.0029400785],"study_design_scores_gemma":[0.00000608466,0.000057120338,0.97432786,0.0000068911945,0.000044955992,0.000060280716,0.00018579142,0.024215097,0.00035864452,0.00045559264,0.00026991504,0.000011741124],"about_ca_topic_score_codex":0.00816742,"about_ca_topic_score_gemma":0.0073390845,"teacher_disagreement_score":0.00816742,"about_ca_system_score_codex":0.00022740777,"about_ca_system_score_gemma":0.00024788408,"threshold_uncertainty_score":0.016239762},"labels":[],"label_agreement":null},{"id":"W2569625516","doi":"10.1287/mnsc.2015.2405","title":"Disagreement, Underreaction, and Stock Returns","year":2016,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Hong Kong University of Science and Technology","keywords":"Stock (firearms); Economics; Econometrics; Geography","score_opus":0.03515256620240438,"score_gpt":0.22352467307918772,"score_spread":0.18837210687678335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569625516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99797004,0.000121852085,0.0010434758,0.00014818885,0.0000058546752,0.0000035444186,0.00007128306,0.000009854663,0.0006259389],"genre_scores_gemma":[0.99954623,0.00003124454,0.00019585023,0.000015090068,0.000017212356,0.0000026277153,0.00012396219,0.000003085158,0.000064646905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99745625,0.0011409511,0.00027000852,0.0004034492,0.00054668565,0.00018264708],"domain_scores_gemma":[0.8807257,0.0803003,0.029353466,0.0055126306,0.0026196695,0.001488264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007536705,0.0003231018,0.00054206094,0.0012927504,0.00034090775,0.0017340098,0.00045887465,0.0008801042,0.0010652894],"category_scores_gemma":[0.07418344,0.00023044959,0.000375746,0.0013931347,0.00064789975,0.0020550927,0.001065432,0.0013412648,0.00021035972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068378076,0.0002463292,0.96676385,0.000029285657,0.00019300426,0.00015735521,0.00096459535,0.0066936747,0.0019364761,0.0016705078,0.00047186716,0.020189285],"study_design_scores_gemma":[0.000024024703,0.00021515663,0.9446282,0.000015013644,0.00008313559,0.00015919033,0.00048215207,0.046195175,0.0012671103,0.006396923,0.00048614506,0.000047787762],"about_ca_topic_score_codex":0.0012630954,"about_ca_topic_score_gemma":0.0009245366,"teacher_disagreement_score":0.007536705,"about_ca_system_score_codex":0.0003933492,"about_ca_system_score_gemma":0.00018610702,"threshold_uncertainty_score":0.0398584},"labels":[],"label_agreement":null},{"id":"W2572190409","doi":"10.5539/ijef.v9n2p1","title":"Effects of Macroeconomic Volatility on Stock Prices in Kenya: A Cointegration Evidence from the Nairobi Securities Exchange (NSE)","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Cointegration; Money supply; Econometrics; Spurious relationship; Short run; Volatility (finance); Interest rate; Error correction model; Unit root; Stock (firearms); Monetary economics","score_opus":0.029771414688347486,"score_gpt":0.24324106241797697,"score_spread":0.21346964772962948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572190409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994524,0.0014585307,0.0002098263,0.00056226266,0.0000140756765,0.000010599678,0.00027475768,0.0000038554813,0.002942097],"genre_scores_gemma":[0.99776125,0.0013359187,0.00007729329,0.000036072328,0.000013483667,0.0000030221286,0.00023246453,0.0000016925046,0.00053881796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997092,0.000083860454,0.000039449067,0.000042962027,0.00007068894,0.00005383303],"domain_scores_gemma":[0.9980884,0.0007120139,0.0008089748,0.00008050638,0.00022532478,0.000084697436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071397464,0.0002339263,0.00031584856,0.0007470367,0.0006129742,0.0012217276,0.00023621191,0.00045466988,0.0024985159],"category_scores_gemma":[0.0030275024,0.0002432971,0.00032931715,0.0014229416,0.0003382834,0.00086220016,0.00051413215,0.00054546143,0.00029503784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034823886,0.00016518102,0.9642499,0.00023098434,0.00040102733,0.0016837226,0.0017899288,0.0022488923,0.0019570333,0.0048376755,0.0014520542,0.020635266],"study_design_scores_gemma":[0.000021764397,0.00010742072,0.9871357,0.00011199266,0.00031396988,0.00016974178,0.002050216,0.005674081,0.00075815007,0.0008602763,0.0027738893,0.000022777138],"about_ca_topic_score_codex":0.03656751,"about_ca_topic_score_gemma":0.061982293,"teacher_disagreement_score":0.03656751,"about_ca_system_score_codex":0.00058548135,"about_ca_system_score_gemma":0.0008918793,"threshold_uncertainty_score":0.07270932},"labels":[],"label_agreement":null},{"id":"W2573646486","doi":"10.5539/ijef.v9n2p89","title":"Effect of F Score on Stock Performance: Evidence from Indian Equity Market","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Equity (law); Stock (firearms); Financial economics; Growth stock; Valuation (finance); Economics; Market value; Restricted stock; Business; Finance","score_opus":0.04924762499565879,"score_gpt":0.2778695278795966,"score_spread":0.22862190288393783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573646486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99547833,0.00053447776,0.00018230855,0.0003077491,0.00001929931,0.0000046541727,0.00021033271,0.000010944679,0.0032517654],"genre_scores_gemma":[0.99931264,0.00013004946,0.000042671945,0.000031954565,0.000024431982,0.0000010938528,0.00012430715,0.0000019830268,0.00033077018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900407,0.0002487183,0.00006656616,0.00015730782,0.0003573083,0.00016605054],"domain_scores_gemma":[0.98565173,0.007076271,0.0039211335,0.0010548364,0.001224606,0.0010713518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014452835,0.00026856732,0.00028568401,0.00133141,0.00038200794,0.0012290247,0.00037288113,0.00050614215,0.0028107318],"category_scores_gemma":[0.00927128,0.000092803355,0.00061268045,0.0013426692,0.00081469497,0.0007866994,0.00053755246,0.00071739504,0.00049619883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024726865,0.000119519886,0.9837414,0.00002687071,0.00018697313,0.00027683823,0.00025586388,0.00027934098,0.0005156972,0.00036223052,0.0005309017,0.013457065],"study_design_scores_gemma":[0.000004055916,0.0001331595,0.9983028,0.0000062140884,0.00005961586,0.00010053573,0.0002201669,0.00041406657,0.00021087017,0.00015357672,0.00038720138,0.000007686917],"about_ca_topic_score_codex":0.009050558,"about_ca_topic_score_gemma":0.0055454024,"teacher_disagreement_score":0.009050558,"about_ca_system_score_codex":0.0002963343,"about_ca_system_score_gemma":0.00033737277,"threshold_uncertainty_score":0.017995715},"labels":[],"label_agreement":null},{"id":"W2579102990","doi":"10.5539/ijef.v9n2p142","title":"Designing a Portfolio Based On Risk and Return of Various Asset Classes","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Alternative asset; Portfolio; Real estate; Holding period return; Risk–return spectrum; Asset allocation; Investment performance; Asset (computer security); Capital asset pricing model; Risk premium; Economics; Actuarial science; Business; Financial economics; Finance; Computer science; Return on investment; Microeconomics; Profit (economics)","score_opus":0.027489920005406412,"score_gpt":0.23526524549224107,"score_spread":0.20777532548683464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2579102990","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30847478,0.0013874727,0.67754686,0.0005406942,0.0000671728,0.00038955093,0.0002763575,0.00040129115,0.0109157385],"genre_scores_gemma":[0.76958644,0.0009806884,0.22606137,0.00006092842,0.00006720841,0.0002313073,0.0002976162,0.000052486634,0.0026619066],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988555,0.00032881048,0.0001064467,0.00018796818,0.00042144634,0.000099871904],"domain_scores_gemma":[0.9982034,0.00074282667,0.00039261032,0.00016105367,0.0003653212,0.00013485018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019052848,0.000652592,0.00095723366,0.0019447505,0.00026013484,0.0021001636,0.0006341844,0.0007549069,0.0017060359],"category_scores_gemma":[0.0069577373,0.00037010896,0.00048181246,0.0012924974,0.00026915254,0.0021602116,0.000537461,0.00049851567,0.0006596209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048457898,0.0003857716,0.0759877,0.000293652,0.00047497803,0.0004614427,0.00017993178,0.285869,0.041419484,0.029977074,0.0023129107,0.56215346],"study_design_scores_gemma":[0.000055748893,0.0009656269,0.03053433,0.000108942935,0.00024416737,0.0007814868,0.00016255146,0.91885304,0.012853987,0.029059919,0.006287768,0.00009237203],"about_ca_topic_score_codex":0.00055203517,"about_ca_topic_score_gemma":0.0005089986,"teacher_disagreement_score":0.0021001636,"about_ca_system_score_codex":0.00047712197,"about_ca_system_score_gemma":0.00053672533,"threshold_uncertainty_score":0.010076165},"labels":[],"label_agreement":null},{"id":"W2580538435","doi":"10.7202/1046568ar","title":"Médias et sentiment sur les marchés actions européens : influence de la culture nationale","year":2018,"lang":"fr","type":"article","venue":"Management international","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.04776116231125763,"score_gpt":0.27956756183848047,"score_spread":0.23180639952722285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580538435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9537308,0.0016262851,0.00056603237,0.0015373002,0.00009720499,0.000011152234,0.00027046975,0.000011211857,0.042149473],"genre_scores_gemma":[0.9956053,0.0008327069,0.00020690338,0.0001460145,0.00009562285,0.000006314365,0.00009599482,0.0000117259215,0.002999368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929965,0.00026894407,0.00004430416,0.00010157072,0.0001820902,0.000103393315],"domain_scores_gemma":[0.99332917,0.003252585,0.002083243,0.00019859012,0.00077616225,0.00036019745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001424218,0.00024829732,0.00027212166,0.0012170282,0.00058660685,0.0041919444,0.00017997788,0.0004776917,0.0071697165],"category_scores_gemma":[0.0061136796,0.00012146646,0.0002486176,0.0014072425,0.0010109253,0.001899852,0.00083281717,0.0007490851,0.00051281485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006443245,0.00024693526,0.83078194,0.00039790626,0.00047337735,0.00079277717,0.036128372,0.0010144021,0.003956676,0.021148752,0.0037042,0.100710385],"study_design_scores_gemma":[0.000013299339,0.00011980266,0.9473432,0.00021538131,0.00013695784,0.00017867441,0.022790216,0.00058997906,0.0010311244,0.001930881,0.025615484,0.00003503916],"about_ca_topic_score_codex":0.009045718,"about_ca_topic_score_gemma":0.010237073,"teacher_disagreement_score":0.009045718,"about_ca_system_score_codex":0.00065945525,"about_ca_system_score_gemma":0.0004073086,"threshold_uncertainty_score":0.023985088},"labels":[],"label_agreement":null},{"id":"W2581427349","doi":"10.5430/afr.v6n1p89","title":"Searching for the Sustainably Profitable Stocks: Evidence on S&amp;P 500 Companies","year":2017,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Stock (firearms); Sustainability; Sample (material); Growth stock; Stock market; Financial economics; Asset (computer security); Investment (military); Panel data; Value (mathematics); Rate of return; Monetary economics; Business; Econometrics; Finance; Restricted stock","score_opus":0.25369711461059824,"score_gpt":0.38678125653965534,"score_spread":0.1330841419290571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581427349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963174,0.0004928707,0.00019028806,0.00023042913,0.000003488067,0.0000035850162,0.0020805916,0.0000069367707,0.0006744931],"genre_scores_gemma":[0.99674124,0.00025867083,0.00006541377,0.00002671112,0.000011734196,0.000002048637,0.0026965023,0.0000015280293,0.0001961428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941134,0.000108331005,0.000074498916,0.00016188044,0.00014206013,0.000101937934],"domain_scores_gemma":[0.98804885,0.0034453035,0.0066402936,0.0005569821,0.0005482272,0.0007602813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010122239,0.00022936385,0.0002534648,0.0016763054,0.00027866388,0.0009979269,0.0005357361,0.000579535,0.0017297528],"category_scores_gemma":[0.006255566,0.00018992356,0.00036210765,0.0024376705,0.00031527667,0.0010395121,0.000791323,0.0006148691,0.000470727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041082643,0.000033360287,0.9953296,0.0000135501505,0.00007879472,0.00010354725,0.000051369225,0.0003707045,0.00011442108,0.00012709617,0.00052563037,0.003210788],"study_design_scores_gemma":[0.0000049377213,0.00003241631,0.99605525,0.000018496767,0.000049322975,0.00010097569,0.000248014,0.002383732,0.00020563336,0.00015459809,0.0007395716,0.0000069533558],"about_ca_topic_score_codex":0.018176243,"about_ca_topic_score_gemma":0.03181182,"teacher_disagreement_score":0.018176243,"about_ca_system_score_codex":0.00031740285,"about_ca_system_score_gemma":0.0003200074,"threshold_uncertainty_score":0.03614092},"labels":[],"label_agreement":null},{"id":"W2582525294","doi":"","title":"Centralized Portfolio Optimization in the Presence of Decentralized Decision Making","year":2015,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Portfolio; Asset allocation; Sophistication; Asset (computer security); Efficient frontier; Investment (military); Black–Litterman model; Portfolio optimization; Investment strategy; Order (exchange); Business; Computer science; Microeconomics; Actuarial science; Replicating portfolio; Economics; Finance; Computer security","score_opus":0.02569954882988608,"score_gpt":0.2536387623351674,"score_spread":0.22793921350528135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582525294","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18481661,0.0007196029,0.794981,0.001627499,0.00007758323,0.00009182973,0.0002175724,0.00014007076,0.01732816],"genre_scores_gemma":[0.9478782,0.0003351778,0.043150388,0.00010960526,0.000071907074,0.0001158875,0.00008022486,0.000034099598,0.008224518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987451,0.00051499234,0.0000393872,0.0002870276,0.00018067195,0.0002328387],"domain_scores_gemma":[0.9952844,0.0033560614,0.0006665938,0.00017834977,0.00025955084,0.0002550908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002404639,0.00086556067,0.0017062991,0.0004230838,0.0005448948,0.0021144382,0.0010616564,0.0016458131,0.002875831],"category_scores_gemma":[0.007114476,0.0007742727,0.0007613022,0.00086723786,0.0014139136,0.0016186007,0.0014925395,0.0016921173,0.00023129465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006334882,0.00003927945,0.00032490614,0.000030942454,0.000030509285,0.000103390295,0.000030703417,0.96592027,0.00034960444,0.029250732,0.0003487528,0.003507623],"study_design_scores_gemma":[0.000031164098,0.00002157935,0.0001489063,0.000003828334,0.0000074413465,0.000011082395,0.000011416252,0.97999233,0.00010615216,0.019443389,0.00021756595,0.000005218921],"about_ca_topic_score_codex":0.0069661736,"about_ca_topic_score_gemma":0.004737835,"teacher_disagreement_score":0.0069661736,"about_ca_system_score_codex":0.0019866508,"about_ca_system_score_gemma":0.0020944104,"threshold_uncertainty_score":0.014414251},"labels":[],"label_agreement":null},{"id":"W2582831453","doi":"10.2139/ssrn.2900473","title":"On the Forms of Utility Functions","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Geography","score_opus":0.029580640939894584,"score_gpt":0.2222058758969878,"score_spread":0.19262523495709322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582831453","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027294919,0.004429042,0.9048548,0.0050807265,0.00015861471,0.00008739034,0.00058575306,0.00013418209,0.05737467],"genre_scores_gemma":[0.76761794,0.014038772,0.17079061,0.0013339389,0.0011670571,0.00074553234,0.001479706,0.00034307622,0.0424833],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960251,0.0026086299,0.00022230287,0.00048156374,0.00042711323,0.00023531623],"domain_scores_gemma":[0.977089,0.019030523,0.0008312117,0.0012152826,0.0014141679,0.0004198531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006423427,0.0019665218,0.0017191096,0.0023853488,0.0010213028,0.0061530033,0.0025433975,0.0029602803,0.011626843],"category_scores_gemma":[0.03430543,0.0014029499,0.0014728794,0.0039771968,0.0047693364,0.01339585,0.0027937165,0.0067960415,0.0016696784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060139473,0.0000069029725,0.00007241159,0.00001829485,0.0000035767368,0.000017504863,0.00008423283,0.0021941715,0.00003091432,0.9937709,0.0006390574,0.0031559884],"study_design_scores_gemma":[0.000004617543,0.0000031790705,0.00004184686,0.000015960732,0.0000025955999,0.000022084661,0.000021067424,0.010587307,0.000013672197,0.98837006,0.0009136539,0.0000039711636],"about_ca_topic_score_codex":0.001886859,"about_ca_topic_score_gemma":0.0014656773,"teacher_disagreement_score":0.011626843,"about_ca_system_score_codex":0.0022469522,"about_ca_system_score_gemma":0.0011280457,"threshold_uncertainty_score":0.038895667},"labels":[],"label_agreement":null},{"id":"W2584850411","doi":"10.22495/cocv4i4c4p7","title":"Investment value of recommendations in the Italian stock exchange","year":2007,"lang":"en","type":"article","venue":"Corporate Ownership and Control","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Portfolio; Quarter (Canadian coin); Business; Accounting; Stock (firearms); Transparency (behavior); Financial economics; Value (mathematics); Investment decisions; Finance; Economics; Political science","score_opus":0.06568221713053958,"score_gpt":0.2362870210298035,"score_spread":0.1706048038992639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2584850411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932875,0.00061148714,0.0006464094,0.00051256426,0.000024452931,0.0000151626955,0.0010616988,0.0000478909,0.0037929195],"genre_scores_gemma":[0.9976641,0.00013506028,0.000573134,0.00001911498,0.000029658366,0.000007023912,0.00095934386,0.0000049523796,0.0006077881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954561,0.001490028,0.00042478697,0.0005361094,0.0018103945,0.0002824831],"domain_scores_gemma":[0.96265143,0.02174558,0.00940585,0.0019350033,0.0036173621,0.0006448338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051548355,0.00036247203,0.00048430983,0.0028027643,0.00025502077,0.002222711,0.00046670393,0.0008107736,0.0016173781],"category_scores_gemma":[0.03864384,0.00012713125,0.00033078567,0.002593782,0.00030879877,0.0010637358,0.00056660996,0.00050082325,0.00037175845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012852714,0.00016381763,0.86605054,0.00018060594,0.0008991567,0.00036546224,0.000691904,0.024462886,0.0011046967,0.0021937871,0.0053908825,0.097210966],"study_design_scores_gemma":[0.00006290071,0.0004236031,0.8998606,0.00008160819,0.00031583224,0.00033384995,0.000839522,0.090110056,0.002317599,0.0015522164,0.0040409467,0.00006124074],"about_ca_topic_score_codex":0.005357202,"about_ca_topic_score_gemma":0.0038569588,"teacher_disagreement_score":0.005357202,"about_ca_system_score_codex":0.0011714285,"about_ca_system_score_gemma":0.00038307553,"threshold_uncertainty_score":0.027261674},"labels":[],"label_agreement":null},{"id":"W2585021132","doi":"10.5539/ijef.v9n3p1","title":"The Overnight Return Temporal Market Anomaly","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Efficient-market hypothesis; Economics; Financial economics; Insider; Financial market; Insider trading; Profit (economics); Anomaly (physics); Momentum (technical analysis); Microeconomics; Stock market; Finance","score_opus":0.02322772251438734,"score_gpt":0.22524257011774132,"score_spread":0.20201484760335398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585021132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.640444,0.005521398,0.28549346,0.004794743,0.0011213005,0.00012162277,0.002210543,0.0013047018,0.058988187],"genre_scores_gemma":[0.9902228,0.0006895535,0.004749634,0.00019397122,0.00050099916,0.000025150372,0.00034893033,0.00006800802,0.0032009468],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99923766,0.0001211477,0.000052857366,0.00013960914,0.00033837085,0.00011032465],"domain_scores_gemma":[0.99667585,0.0010664942,0.0012287652,0.00030756564,0.0005371004,0.00018414654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009239197,0.00029399162,0.0003977123,0.000980649,0.00033639834,0.0015299466,0.00071589666,0.0008598714,0.0035476496],"category_scores_gemma":[0.007999179,0.00011537941,0.00044015542,0.0012690768,0.00092952535,0.0024441632,0.0009260446,0.0012555436,0.00047139922],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006023432,0.00013866977,0.08716983,0.000303316,0.00014147602,0.004499597,0.0007566642,0.030476728,0.014257406,0.7369708,0.013792198,0.11089112],"study_design_scores_gemma":[0.0000846317,0.00045953575,0.13387333,0.00012665671,0.00014340853,0.008136243,0.0007764823,0.2765029,0.0072457986,0.5018693,0.070558414,0.00022337069],"about_ca_topic_score_codex":0.0017149836,"about_ca_topic_score_gemma":0.000649028,"teacher_disagreement_score":0.0035476496,"about_ca_system_score_codex":0.0007518668,"about_ca_system_score_gemma":0.0004412807,"threshold_uncertainty_score":0.01186806},"labels":[],"label_agreement":null},{"id":"W2588136866","doi":"10.2139/ssrn.2912511","title":"Cheaper is Not Better: On the Superior Performance of High-Fee Mutual Funds","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Finance; Institutional investor; Corporate governance","score_opus":0.023559867349806078,"score_gpt":0.2089874806177758,"score_spread":0.18542761326796972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588136866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747679,0.0013968025,0.00034353684,0.00797194,0.00007830791,0.00001279078,0.00009298753,0.000019299785,0.0153164035],"genre_scores_gemma":[0.9987651,0.00015646027,0.000062010055,0.00018276487,0.00006167776,0.000001721897,0.000022204928,0.000004990373,0.00074308633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773276,0.0010845577,0.00012578095,0.00013884019,0.00038863008,0.00052937726],"domain_scores_gemma":[0.98063433,0.00961253,0.004289906,0.0009874313,0.001863434,0.0026124432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00715094,0.00034727645,0.00067885814,0.0007890298,0.00093153917,0.0033206963,0.0007931537,0.0020342611,0.0061676037],"category_scores_gemma":[0.03943654,0.00009646085,0.00027648272,0.00065184943,0.0018984202,0.0032989774,0.002412735,0.0012130557,0.0007409023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019630443,0.0017711666,0.36683998,0.0004601254,0.00071591494,0.0020058427,0.003741244,0.03679535,0.0040286486,0.26138148,0.043793254,0.25883657],"study_design_scores_gemma":[0.0023590054,0.0062296395,0.6046904,0.00045013518,0.0012257912,0.0011126003,0.011958028,0.059627935,0.0069735893,0.27605528,0.028988728,0.00032891825],"about_ca_topic_score_codex":0.0070282123,"about_ca_topic_score_gemma":0.006172624,"teacher_disagreement_score":0.00715094,"about_ca_system_score_codex":0.001922543,"about_ca_system_score_gemma":0.0015308631,"threshold_uncertainty_score":0.037818193},"labels":[],"label_agreement":null},{"id":"W2588349303","doi":"10.5539/ass.v13n3p126","title":"The Gap between the Returns that Calculated by Capital Asset Pricing Model and the Actual Returns in Abu Dhabi Securities Exchange (ADX): Evidence from the United Arab Emirates","year":2017,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Abu dhabi; Capital asset pricing model; Economics; Volatility (finance); Leverage (statistics); Econometrics; Dispersion (optics); Financial economics; Business; Statistics; Mathematics; Geography","score_opus":0.06459183862543812,"score_gpt":0.26808445049621243,"score_spread":0.20349261187077433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588349303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871295,0.002725294,0.00031533898,0.0010103683,0.000026666436,0.0000072404982,0.0002680518,0.000011290537,0.008506187],"genre_scores_gemma":[0.9970937,0.0017165164,0.00017504426,0.00010531265,0.00002326186,0.0000034951586,0.0003112275,0.0000043747564,0.00056711095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843115,0.0004176913,0.00015043972,0.00017033354,0.00069060066,0.00013985582],"domain_scores_gemma":[0.98855036,0.006012299,0.0025085816,0.0005512859,0.002103968,0.00027351108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025488446,0.00032631538,0.00022990949,0.0018212126,0.0002757309,0.0015750612,0.00047466715,0.00052723184,0.0014699819],"category_scores_gemma":[0.010605486,0.00022799526,0.00028165302,0.002609579,0.00074866664,0.0015579759,0.0006577828,0.00081861357,0.00057734945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024518277,0.00021183318,0.94280803,0.00019485957,0.0002264374,0.0006518416,0.0025638514,0.001717477,0.00050965376,0.0046088304,0.002830878,0.04343103],"study_design_scores_gemma":[0.000015523545,0.00015935604,0.9787942,0.00017337521,0.00007504373,0.0005633151,0.006257469,0.004092122,0.0008738084,0.00083385827,0.008133318,0.000028641103],"about_ca_topic_score_codex":0.02163501,"about_ca_topic_score_gemma":0.017525954,"teacher_disagreement_score":0.02163501,"about_ca_system_score_codex":0.0008471419,"about_ca_system_score_gemma":0.000767608,"threshold_uncertainty_score":0.043018162},"labels":[],"label_agreement":null},{"id":"W2588458987","doi":"10.1111/1759-3441.12169","title":"Can Macroeconomic Variables Explain Managed Fund Returns? The Australian Case","year":2017,"lang":"en","type":"article","venue":"Economic Papers A journal of applied economics and policy","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Explanatory power; Economics; Quarter (Canadian coin); Closed-end fund; Variables; Econometrics; Regression analysis; Monetary economics; Geography; Statistics; Mathematics","score_opus":0.030930342223600853,"score_gpt":0.24058336371261424,"score_spread":0.20965302148901338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588458987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941199,0.0010001854,0.0002771366,0.0018331584,0.000012204946,0.000008937729,0.00021603024,0.0000070870883,0.0025253869],"genre_scores_gemma":[0.9984438,0.0004765046,0.000095344236,0.000062480285,0.000018767643,0.0000058895394,0.00013577497,0.000002021907,0.0007593415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930096,0.00021938802,0.000047074962,0.0000856553,0.0001334015,0.0002135211],"domain_scores_gemma":[0.99529016,0.001527885,0.00203362,0.0002628241,0.0004735309,0.00041198108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001835769,0.0003692906,0.0005904726,0.0022189347,0.0006055289,0.0017801963,0.0006699143,0.00073106604,0.0016245331],"category_scores_gemma":[0.012111426,0.00024074773,0.00068800163,0.003137877,0.000648937,0.0016685439,0.0015099326,0.0013252086,0.00023766723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000196358,0.00013883175,0.957378,0.000079962694,0.00025988236,0.0015772348,0.0018639471,0.004865289,0.00037603444,0.007054678,0.001121411,0.025088407],"study_design_scores_gemma":[0.000009275095,0.000055784792,0.984213,0.000053038224,0.00011817111,0.0001381265,0.00090425723,0.009799486,0.00015701193,0.0026964075,0.0018403955,0.000015075251],"about_ca_topic_score_codex":0.11011802,"about_ca_topic_score_gemma":0.06955581,"teacher_disagreement_score":0.11011802,"about_ca_system_score_codex":0.0017920518,"about_ca_system_score_gemma":0.0012358163,"threshold_uncertainty_score":0.21895415},"labels":[],"label_agreement":null},{"id":"W2588687382","doi":"10.5539/ijef.v9n3p91","title":"The Impact of Technical Analysis on Stock Returns in an Emerging Capital Markets (ECM’s) Country: Theoretical and Empirical Study","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inefficiency; Technical analysis; Predictability; Economics; Financial economics; Stock (firearms); Capital market; Stock exchange; Investment performance; Trading strategy; Efficient-market hypothesis; Stock market; Emerging markets; Microeconomics; Return on investment; Finance; Profit (economics)","score_opus":0.026095214781320104,"score_gpt":0.3107180962571587,"score_spread":0.2846228814758386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588687382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821358,0.0016101279,0.0029173715,0.00061192294,0.000018962714,0.000024090426,0.000120360855,0.000022474693,0.012538869],"genre_scores_gemma":[0.9982607,0.00066405296,0.00034944076,0.000039893894,0.00004588625,0.0000029796527,0.00009296739,0.0000040494456,0.00054004963],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998248,0.00054157275,0.00013660002,0.00022345269,0.0006116327,0.00023876027],"domain_scores_gemma":[0.95189303,0.02847975,0.011788458,0.0020384593,0.0049797767,0.000820455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040443284,0.0004026589,0.00029246774,0.0031195737,0.0003773824,0.002767205,0.00038832182,0.00056955847,0.0027691345],"category_scores_gemma":[0.022032803,0.000140213,0.00060018536,0.002279852,0.0014739956,0.0030431468,0.00085426914,0.0008937815,0.000349968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030052752,0.0004039033,0.8863446,0.00019285943,0.00025655227,0.0016606783,0.0010806534,0.007922041,0.0011132831,0.0298103,0.001629766,0.06928474],"study_design_scores_gemma":[0.000014248814,0.00031233847,0.9537805,0.00016361644,0.00026962956,0.00049657776,0.002657513,0.02578905,0.0018969696,0.01068757,0.003881357,0.00005060834],"about_ca_topic_score_codex":0.0027502836,"about_ca_topic_score_gemma":0.0019034287,"teacher_disagreement_score":0.0040443284,"about_ca_system_score_codex":0.001013612,"about_ca_system_score_gemma":0.00073910295,"threshold_uncertainty_score":0.02138871},"labels":[],"label_agreement":null},{"id":"W2588696980","doi":"10.2139/ssrn.2787954","title":"Market Efficiency and Hedge Fund Trading Strategies","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Hedge fund; Business; Pairs trade; Alternative beta; Trading strategy; Financial economics; Market efficiency; Algorithmic trading; Finance; Open-end fund; Economics; Alternative trading system; Institutional investor; Corporate governance","score_opus":0.021293560703998394,"score_gpt":0.21494730425022035,"score_spread":0.19365374354622195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588696980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9381849,0.0018381347,0.03448551,0.0013223927,0.000027053084,0.00001907096,0.000076853335,0.000046077956,0.023999933],"genre_scores_gemma":[0.9976351,0.00012950087,0.00053594547,0.0000253253,0.000022871647,0.0000030199085,0.000019607687,0.000007484631,0.001621184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994679,0.0001958642,0.000043768738,0.00008415639,0.00011525468,0.00009311765],"domain_scores_gemma":[0.98573875,0.0102867335,0.002209161,0.0007760958,0.00060747,0.00038172258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025652656,0.0002831897,0.00059475907,0.001007236,0.00025156548,0.0032050295,0.0004655802,0.001068581,0.0049992925],"category_scores_gemma":[0.022112908,0.0002313134,0.00035218807,0.000557469,0.0010668869,0.0039817686,0.0006800198,0.00076372555,0.00039949807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086863263,0.00042155015,0.0735689,0.00016682835,0.00048750738,0.0007198498,0.0005688092,0.09998849,0.007377644,0.73929536,0.002977467,0.073558934],"study_design_scores_gemma":[0.00014613506,0.0003018634,0.076369315,0.000049393377,0.00013734403,0.0006969507,0.00059464294,0.20529138,0.0027478894,0.7107887,0.0028287459,0.00004756334],"about_ca_topic_score_codex":0.00046882144,"about_ca_topic_score_gemma":0.00035538067,"teacher_disagreement_score":0.0049992925,"about_ca_system_score_codex":0.00065731624,"about_ca_system_score_gemma":0.0003535444,"threshold_uncertainty_score":0.016724229},"labels":[],"label_agreement":null},{"id":"W2590014621","doi":"10.1017/s0022109016000958","title":"Short-Term Reversals: The Effects of Past Returns and Institutional Exits","year":2017,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; De facto; Quarter (Canadian coin); Term (time); Economics; Monetary economics; Dual (grammatical number)","score_opus":0.04051079166852424,"score_gpt":0.27085669357035724,"score_spread":0.23034590190183302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590014621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970137,0.0002259396,0.00035753183,0.00019599948,0.00002291642,0.000012143771,0.00022122537,0.00001752628,0.0019328524],"genre_scores_gemma":[0.99906987,0.000040538314,0.00006923495,0.000026012727,0.000027750308,0.0000042368574,0.00021618465,0.00000485408,0.0005412609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989969,0.0002205731,0.0001359181,0.00018637997,0.00019149126,0.00026881133],"domain_scores_gemma":[0.9692946,0.010135543,0.014315034,0.0020090828,0.0010927403,0.003153001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024640427,0.00028205558,0.0005899072,0.0007731591,0.00028786255,0.0016084848,0.00049613643,0.0008054859,0.007933894],"category_scores_gemma":[0.020235283,0.00021352341,0.0006881029,0.000674751,0.000721393,0.0011999517,0.0009768063,0.001773709,0.0008880515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001079412,0.00043280114,0.9791701,0.00003737459,0.00024613368,0.00035725973,0.00017776087,0.0016262813,0.0024893996,0.00070973195,0.0005960689,0.013077586],"study_design_scores_gemma":[0.0000101686865,0.00022663867,0.99702543,0.000006701404,0.000052206247,0.00008711889,0.00012192135,0.001436671,0.00034863112,0.0004050263,0.00026920685,0.00001021502],"about_ca_topic_score_codex":0.0032143232,"about_ca_topic_score_gemma":0.003007288,"teacher_disagreement_score":0.007933894,"about_ca_system_score_codex":0.00032524695,"about_ca_system_score_gemma":0.0003260159,"threshold_uncertainty_score":0.026541471},"labels":[],"label_agreement":null},{"id":"W2590142473","doi":"10.5539/ijef.v9n3p220","title":"The Classical Approaches to Testing the Unconditional CAPM: UK Evidence","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Econometrics; Economics; Explanatory power; BETA (programming language); Systematic risk; Linear regression; Regression analysis; Rate of return; Sample (material); Financial economics; Statistics; Mathematics","score_opus":0.2162394715148046,"score_gpt":0.2627040098781708,"score_spread":0.04646453836336617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590142473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81838197,0.010276278,0.09300394,0.0050135427,0.0003366799,0.00047649437,0.005504704,0.00026535452,0.06674113],"genre_scores_gemma":[0.98848605,0.0011781374,0.005772497,0.00053071673,0.00012316967,0.00014489105,0.0014083418,0.000019730143,0.0023365049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98235196,0.009815404,0.0012758286,0.002194657,0.0033675933,0.0009944893],"domain_scores_gemma":[0.87781525,0.0877857,0.016918646,0.007490421,0.008977685,0.0010122763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015350393,0.000653307,0.0010808556,0.0028878273,0.00084128446,0.0018940594,0.001865917,0.0014640397,0.01043744],"category_scores_gemma":[0.0863909,0.00036669284,0.0011211006,0.0038028806,0.0017990172,0.003340733,0.0023948243,0.0014415166,0.0024282814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014444445,0.0008497449,0.6622948,0.0026715214,0.0018995756,0.00206756,0.0033709658,0.017911194,0.0011564926,0.10798641,0.013827768,0.18451956],"study_design_scores_gemma":[0.00034650194,0.0054782336,0.6914058,0.0023267865,0.0013871714,0.0022910933,0.008339419,0.14252101,0.007666195,0.07049984,0.067407936,0.00032997166],"about_ca_topic_score_codex":0.010111976,"about_ca_topic_score_gemma":0.0067864023,"teacher_disagreement_score":0.015350393,"about_ca_system_score_codex":0.0013910062,"about_ca_system_score_gemma":0.0014775103,"threshold_uncertainty_score":0.081181586},"labels":[],"label_agreement":null},{"id":"W2590500427","doi":"10.1177/0148558x17692872","title":"Are Transient Institutions Sophisticated Enough to Interpret Small Negative Earnings Surprises?","year":2017,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Arbitrage; Institutional investor; Earnings; Stock (firearms); Business; Financial economics; Capital market; Agency (philosophy); Economics; Stock market; Monetary economics; Finance; Corporate governance","score_opus":0.05826267850102806,"score_gpt":0.2594439695039329,"score_spread":0.20118129100290483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590500427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.887999,0.0023169299,0.04207965,0.01321533,0.00047327264,0.00009640294,0.00024505274,0.0005683875,0.053005885],"genre_scores_gemma":[0.99600214,0.00031427134,0.0019667125,0.000282064,0.00012843405,0.0000097894435,0.00003633035,0.000018782157,0.0012414674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899596,0.00021347364,0.00007684317,0.00023692152,0.00018601133,0.00029084622],"domain_scores_gemma":[0.9871452,0.0031399045,0.006149358,0.0017714577,0.0010155188,0.0007785362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002828445,0.00026366458,0.0004935507,0.0010065036,0.00046147584,0.0040504793,0.0008736856,0.0018253599,0.0053577893],"category_scores_gemma":[0.019314403,0.00033101343,0.00042983657,0.0005621679,0.0022606032,0.005346683,0.0012059457,0.0010992492,0.0012693801],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010774696,0.0004994462,0.398928,0.00046759937,0.0003558031,0.00386328,0.0028241996,0.0071877292,0.042476997,0.18064761,0.010744277,0.3509276],"study_design_scores_gemma":[0.00022495439,0.0005792677,0.5640687,0.00039716772,0.000288092,0.0031056765,0.006111758,0.04034395,0.026066266,0.3298416,0.028780313,0.00019229217],"about_ca_topic_score_codex":0.0010805911,"about_ca_topic_score_gemma":0.0010009267,"teacher_disagreement_score":0.0053577893,"about_ca_system_score_codex":0.0010512348,"about_ca_system_score_gemma":0.0009016933,"threshold_uncertainty_score":0.017923653},"labels":[],"label_agreement":null},{"id":"W2590513492","doi":"10.4236/ti.2017.81006","title":"Investing on the CAPM Pricing Error","year":2017,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Portfolio; Econometrics; Economics; Market portfolio; Investment (military); Financial economics","score_opus":0.061503665774776166,"score_gpt":0.23887182145290128,"score_spread":0.1773681556781251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590513492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91195893,0.0005116213,0.07734639,0.0004997658,0.00012494276,0.000102478356,0.00017014868,0.00014176013,0.009143916],"genre_scores_gemma":[0.990595,0.00010061224,0.0083184205,0.00006652391,0.000024178205,0.000030935724,0.00006670751,0.000013220645,0.0007844613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99717605,0.0008895545,0.00023633253,0.0005085424,0.0009132758,0.00027618458],"domain_scores_gemma":[0.9695845,0.021916328,0.0032087085,0.0030751138,0.0018715018,0.00034371045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067838086,0.0010302862,0.00076115824,0.00084696064,0.00026133453,0.0018252914,0.0010479799,0.0014902197,0.0022265797],"category_scores_gemma":[0.04306517,0.0002190666,0.00042458097,0.0009306268,0.00068660517,0.0021974319,0.0013678995,0.0010736939,0.00030524502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030590554,0.0020399948,0.20136832,0.00070476165,0.0008349532,0.0009303976,0.00046384125,0.4326671,0.032201078,0.080399685,0.0017978252,0.24353297],"study_design_scores_gemma":[0.0002488608,0.0059767133,0.08311043,0.00014050488,0.000675897,0.0005942413,0.00026775926,0.8104139,0.048391968,0.046274085,0.003755456,0.00015022197],"about_ca_topic_score_codex":0.0011846697,"about_ca_topic_score_gemma":0.0005989967,"teacher_disagreement_score":0.0067838086,"about_ca_system_score_codex":0.0009614684,"about_ca_system_score_gemma":0.0007639272,"threshold_uncertainty_score":0.03587669},"labels":[],"label_agreement":null},{"id":"W2590601270","doi":"10.2139/ssrn.2916307","title":"Don't Cover Me: Analyst Innate Ability and Insider Trading","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Cover (algebra); Business; Engineering","score_opus":0.022029605842005008,"score_gpt":0.2298893201489794,"score_spread":0.2078597143069744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590601270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99696356,0.00019357758,0.00016791355,0.00054906926,0.000011044343,0.0000018305564,0.000022731952,0.000004193815,0.0020860771],"genre_scores_gemma":[0.99930644,0.000056856927,0.00009910615,0.00007131075,0.000016322127,8.120065e-7,0.000014646948,0.0000026436576,0.00043184048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964845,0.00013534013,0.000027913731,0.00005819364,0.000087026056,0.00004307843],"domain_scores_gemma":[0.9665545,0.019782858,0.008910529,0.0018937058,0.00078636763,0.0020720428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016840805,0.00012306355,0.00016257852,0.0003742392,0.00023910849,0.0015476466,0.00027611025,0.00080093107,0.004059235],"category_scores_gemma":[0.025339706,0.00018145893,0.00017044124,0.00025470974,0.0006218016,0.0016126881,0.0005762307,0.0008470066,0.0004904928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065722683,0.00048803654,0.95520276,0.00003645587,0.00017127334,0.00052758184,0.0014259208,0.0009225051,0.0032074037,0.0029574744,0.0009179643,0.03348544],"study_design_scores_gemma":[0.000036557773,0.00025759227,0.979702,0.00002880241,0.0000805581,0.0011627264,0.001410061,0.0038381924,0.00070678623,0.012107196,0.000641504,0.000027976967],"about_ca_topic_score_codex":0.00054991664,"about_ca_topic_score_gemma":0.00084707007,"teacher_disagreement_score":0.004059235,"about_ca_system_score_codex":0.00012128591,"about_ca_system_score_gemma":0.00019904682,"threshold_uncertainty_score":0.013579488},"labels":[],"label_agreement":null},{"id":"W2591182231","doi":"10.1016/j.jet.2017.02.009","title":"Selloffs, bailouts, and feedback: Can asset markets inform policy?","year":2017,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of North Carolina Wilmington; University of Toronto; University of Miami; National Science Foundation","keywords":"Intervention (counseling); Asset (computer security); Private information retrieval; Economic interventionism; Pareto principle; Microeconomics; Economics; Business; Welfare; Market failure; Stochastic game; Government (linguistics); Value (mathematics); Actuarial science; Market economy; Politics","score_opus":0.02194269863888942,"score_gpt":0.23652234730518057,"score_spread":0.21457964866629115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591182231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4798054,0.029629212,0.04470344,0.3487406,0.0021129814,0.000169615,0.0027628592,0.0004054901,0.091670394],"genre_scores_gemma":[0.98954904,0.0045556095,0.0008479787,0.0019244262,0.00057019433,0.000019117368,0.000080654856,0.00002145305,0.0024315661],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99786156,0.0012055903,0.000083809064,0.000253839,0.00022163322,0.00037355034],"domain_scores_gemma":[0.92966807,0.05728071,0.008611588,0.00097370724,0.0022059449,0.0012599878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008470945,0.00070809637,0.0018924446,0.001381085,0.00081224233,0.007614224,0.0012561573,0.0074700597,0.016465163],"category_scores_gemma":[0.06729039,0.00060355605,0.00039248637,0.0015586591,0.003960163,0.012713739,0.0014956752,0.0044087255,0.0008420207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017970087,0.00068920915,0.036363948,0.0007901301,0.0003253126,0.00064652436,0.0012055673,0.058915675,0.00057612004,0.7620914,0.03321234,0.10338672],"study_design_scores_gemma":[0.00019514689,0.0001079483,0.0060172826,0.00021224286,0.00008430338,0.00004077088,0.00087975245,0.038467985,0.00025216126,0.94718707,0.006489335,0.00006607135],"about_ca_topic_score_codex":0.011512153,"about_ca_topic_score_gemma":0.01079906,"teacher_disagreement_score":0.016465163,"about_ca_system_score_codex":0.0028223577,"about_ca_system_score_gemma":0.0035176624,"threshold_uncertainty_score":0.055081427},"labels":[],"label_agreement":null},{"id":"W2591728245","doi":"10.5539/jpl.v10n2p114","title":"Studying the Impact of Accruals Quality and Market Risk Premium on Stock return Excess Using Fama-French Three Factor Model","year":2017,"lang":"en","type":"article","venue":"Journal of Politics and Law","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accrual; Econometrics; Stock (firearms); Risk premium; Stock market; Economics; Stock exchange; Business; Actuarial science; Financial economics; Finance","score_opus":0.14826322285056992,"score_gpt":0.3402692137150501,"score_spread":0.19200599086448017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591728245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817861,0.0008663854,0.011508767,0.00090738287,0.00003274232,0.00005902364,0.00038779108,0.00005900974,0.0043927804],"genre_scores_gemma":[0.9971475,0.0002641002,0.00090719416,0.00003258875,0.000020866688,0.000018265559,0.00017917524,0.000004429752,0.0014258155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910766,0.00032231718,0.000049641145,0.00016000017,0.00016471678,0.00019566518],"domain_scores_gemma":[0.99404055,0.0040821843,0.0010095733,0.00023618308,0.00034986614,0.00028163922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002035246,0.0006136078,0.00053508877,0.0013393825,0.00034613084,0.0018221551,0.0004929166,0.0012641985,0.004196467],"category_scores_gemma":[0.008366556,0.0002732458,0.0012157346,0.00080378295,0.00046993507,0.0009194367,0.0004884148,0.00078439864,0.0004737493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034967478,0.00034010602,0.87725884,0.00008802,0.00061655114,0.0009592587,0.00052455795,0.08515651,0.0012721717,0.009781508,0.0015985044,0.022054315],"study_design_scores_gemma":[0.00006795681,0.00056739955,0.5124057,0.000067731904,0.00047874433,0.00033479737,0.00053113676,0.47367963,0.0007343243,0.007945585,0.0031224634,0.00006458945],"about_ca_topic_score_codex":0.018458735,"about_ca_topic_score_gemma":0.00733717,"teacher_disagreement_score":0.018458735,"about_ca_system_score_codex":0.00086962216,"about_ca_system_score_gemma":0.000818277,"threshold_uncertainty_score":0.036702573},"labels":[],"label_agreement":null},{"id":"W2595446723","doi":"","title":"Is Halloween Effect A New Puzzle? Evidence from Price Gap","year":2016,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Proxy (statistics); Empirical evidence; Econometrics; Index (typography); Stock price; Advertising; Mathematics; Business; Computer science; Statistics; Series (stratigraphy)","score_opus":0.05153340299059186,"score_gpt":0.24287295356882066,"score_spread":0.1913395505782288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595446723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7755708,0.12519462,0.010446959,0.03370934,0.00075796514,0.000039807685,0.00094925857,0.00013061339,0.053200684],"genre_scores_gemma":[0.96603197,0.027375787,0.00090993417,0.0018721123,0.0012909076,0.000007976773,0.00025900154,0.00003987877,0.002212394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993331,0.00013206514,0.000061074476,0.00021719687,0.00019084639,0.00006560976],"domain_scores_gemma":[0.9715657,0.018801834,0.006258346,0.0015414811,0.0011987392,0.0006338999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023258685,0.00022633294,0.00074198976,0.001308739,0.0003693417,0.0019766225,0.00076215045,0.0011989133,0.0066036675],"category_scores_gemma":[0.014283572,0.00023718641,0.00047556317,0.0016280597,0.0023651493,0.0040943045,0.00097534526,0.0018594966,0.00078893016],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025007678,0.00047912323,0.38860524,0.0031861793,0.0013847743,0.0037839774,0.0032291815,0.001811576,0.007265586,0.26014173,0.022122676,0.30548933],"study_design_scores_gemma":[0.00037715174,0.00050941174,0.61586016,0.0008471861,0.0010002765,0.0020746333,0.0039044586,0.0033768532,0.0053173304,0.2790117,0.08753072,0.00019009014],"about_ca_topic_score_codex":0.0011420398,"about_ca_topic_score_gemma":0.000791472,"teacher_disagreement_score":0.0066036675,"about_ca_system_score_codex":0.00040913295,"about_ca_system_score_gemma":0.00034991463,"threshold_uncertainty_score":0.022091448},"labels":[],"label_agreement":null},{"id":"W2595725678","doi":"","title":"A generalized stochastic differential utility","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Isoelastic utility; Stochastic differential equation; Risk aversion (psychology); Expected utility hypothesis; Mathematical economics; Quadratic variation; Monotonic function; Generalization; Economics; Mathematical optimization; Portfolio; Econometrics; Mathematics; Brownian motion; Applied mathematics; Financial economics","score_opus":0.06422122629197631,"score_gpt":0.2893103687888218,"score_spread":0.22508914249684553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595725678","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03413443,0.0013752059,0.9071688,0.003463899,0.00022966333,0.00012186547,0.0005227928,0.00020097721,0.052782405],"genre_scores_gemma":[0.8086074,0.002362797,0.14787097,0.0010194674,0.00045545973,0.00028210596,0.00044671568,0.000100911115,0.038854063],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988626,0.0005049498,0.000053140728,0.00022922023,0.00026066936,0.00008941192],"domain_scores_gemma":[0.9994148,0.0002567332,0.000053141517,0.00008976072,0.00012002071,0.00006557991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014409751,0.00083492126,0.00088452635,0.0006652216,0.00043526862,0.0018879125,0.0011202951,0.0015641378,0.0052574296],"category_scores_gemma":[0.0027182489,0.00029110847,0.0010850566,0.0009963927,0.001509512,0.0024186128,0.0015060281,0.0015325871,0.00057128223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064874243,0.000012945389,0.00017070283,0.00003266451,0.000015415857,0.00006800186,0.000054807977,0.020342072,0.00049106154,0.9696007,0.0013120208,0.0078932],"study_design_scores_gemma":[0.000014124688,0.000040344312,0.00037596282,0.000028468887,0.00001621162,0.000140027,0.00003253954,0.1788217,0.00017979872,0.8068298,0.013499864,0.00002115033],"about_ca_topic_score_codex":0.002436867,"about_ca_topic_score_gemma":0.0014864561,"teacher_disagreement_score":0.0052574296,"about_ca_system_score_codex":0.001399072,"about_ca_system_score_gemma":0.0013274148,"threshold_uncertainty_score":0.01758784},"labels":[],"label_agreement":null},{"id":"W2595756138","doi":"10.1111/j.1468-036x.2012.00651.x","title":"Ambiguity Aversion, Company Size and the Pricing of Earnings Forecasts","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ambiguity; Ambiguity aversion; Earnings; Pessimism; Economics; Financial economics; Stock (firearms); Econometrics; Quarter (Canadian coin); Stock price; Accounting; Computer science","score_opus":0.03447999296969762,"score_gpt":0.2615365862307564,"score_spread":0.22705659326105876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595756138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9198603,0.006154066,0.030559681,0.012313955,0.00043094336,0.000023511717,0.00027455296,0.00009151841,0.030291447],"genre_scores_gemma":[0.9946385,0.0013879882,0.0005957577,0.0001397896,0.0004271317,0.0000047056274,0.00004547337,0.000011039243,0.0027495995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99959606,0.00015923547,0.000024568371,0.00007305782,0.00009914501,0.00004801724],"domain_scores_gemma":[0.9818973,0.013792163,0.0026886847,0.0003791561,0.00044379654,0.0007989915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024230198,0.0003857075,0.0005982695,0.00080838124,0.0004164574,0.0037935094,0.00033284567,0.0013927169,0.0074492297],"category_scores_gemma":[0.025433216,0.00028321048,0.0003398502,0.0007197315,0.0011514939,0.002422447,0.000682131,0.0019731985,0.00033352574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017524355,0.00067929545,0.09047251,0.00050156785,0.0004258528,0.002152678,0.0023469138,0.0914902,0.010204008,0.6254694,0.021905797,0.15259933],"study_design_scores_gemma":[0.00010564221,0.00015568214,0.08276263,0.00010842297,0.000100024045,0.0002551129,0.00068329,0.08968472,0.0005844863,0.8216025,0.0038327218,0.00012470532],"about_ca_topic_score_codex":0.0012828032,"about_ca_topic_score_gemma":0.00089584733,"teacher_disagreement_score":0.0074492297,"about_ca_system_score_codex":0.000620393,"about_ca_system_score_gemma":0.0003158507,"threshold_uncertainty_score":0.024920166},"labels":[],"label_agreement":null},{"id":"W2597176993","doi":"10.2470/rf.v2016.n4.1","title":"Factor Investing and Asset Allocation: A Business Cycle Perspective","year":2016,"lang":"en","type":"book","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Université de Sherbrooke","funders":"Research Foundation of CFA Institute","keywords":"Perspective (graphical); Business; Asset allocation; Business cycle; Asset (computer security); Finance; Economics; Computer science; Computer security; Portfolio; Macroeconomics","score_opus":0.03599011447470438,"score_gpt":0.21916392387154005,"score_spread":0.18317380939683567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597176993","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19196177,0.06430217,0.29368606,0.007520541,0.00091845135,0.00009303795,0.0011745378,0.0002336333,0.4401098],"genre_scores_gemma":[0.91834295,0.024563778,0.012522898,0.00029435294,0.00058386417,0.00003629694,0.00022313635,0.00006706595,0.043365713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99991417,0.000019987945,0.0000041861904,0.000024197641,0.000017581993,0.000019874411],"domain_scores_gemma":[0.99985456,0.00006181533,0.000025432282,0.000013403993,0.00002594465,0.000018780007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025046838,0.0007133523,0.00039748888,0.000925138,0.00024042316,0.002070207,0.00052702083,0.0011664589,0.0051306733],"category_scores_gemma":[0.0008763728,0.00027535026,0.0004286992,0.0016418729,0.0008122667,0.0026444322,0.00040160236,0.00088250753,0.00044838098],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076597404,0.000044529905,0.0023161196,0.00011470024,0.000052846786,0.00025298572,0.00006846544,0.05430121,0.0013463297,0.87295157,0.0052999267,0.063174665],"study_design_scores_gemma":[0.000008767547,0.00006542963,0.0027629137,0.00006454598,0.000036346257,0.00017840131,0.00007826766,0.0515816,0.0005060542,0.9179646,0.02673037,0.000022760292],"about_ca_topic_score_codex":0.0031418889,"about_ca_topic_score_gemma":0.0028494596,"teacher_disagreement_score":0.0051306733,"about_ca_system_score_codex":0.0012453207,"about_ca_system_score_gemma":0.00062195276,"threshold_uncertainty_score":0.017163813},"labels":[],"label_agreement":null},{"id":"W2598552536","doi":"10.5430/afr.v6n2p86","title":"An Exploration of the Time-varying Beta of the International Capital Asset Pricing Model: The Case of the Japanese and the Other Asia-Pacific Stock Markets","year":2017,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Chuo University","keywords":"Capital asset pricing model; Asia pacific; Stock (firearms); Diversification (marketing strategy); Financial economics; Economics; BETA (programming language); Stock market; Equity (law); International market; Monetary economics; Business; International economics; International trade; Geography","score_opus":0.0725642139644354,"score_gpt":0.30330463709476735,"score_spread":0.23074042313033194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598552536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8667952,0.00349196,0.10221646,0.0033322899,0.0001069243,0.00003182308,0.0003477359,0.00012560347,0.023552021],"genre_scores_gemma":[0.9939926,0.0010344943,0.002573272,0.000104124614,0.00008714336,0.000015781092,0.00011344606,0.00003103597,0.0020481583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99966204,0.00015641286,0.0000096808935,0.000068889654,0.000033444074,0.00006956013],"domain_scores_gemma":[0.99731463,0.0016655404,0.0004653059,0.0001769569,0.0001751126,0.00020235227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027845784,0.00076498714,0.000981306,0.0009983825,0.00057689456,0.0026406252,0.0010799669,0.0013192319,0.0018056915],"category_scores_gemma":[0.0104911905,0.00048473632,0.0011567269,0.0009582712,0.0010226815,0.0032077162,0.0008786563,0.0020974332,0.0002169758],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025482883,0.00019242131,0.06475126,0.00021156174,0.000451514,0.002590884,0.0015009573,0.49091476,0.002674789,0.4016532,0.005425715,0.0293781],"study_design_scores_gemma":[0.00001759013,0.000044747885,0.008493066,0.000029229654,0.00007373782,0.00024342477,0.00021602385,0.9414175,0.00012418345,0.047905635,0.0014019301,0.0000329199],"about_ca_topic_score_codex":0.012273182,"about_ca_topic_score_gemma":0.005536493,"teacher_disagreement_score":0.012273182,"about_ca_system_score_codex":0.0008548158,"about_ca_system_score_gemma":0.00071082683,"threshold_uncertainty_score":0.024403512},"labels":[],"label_agreement":null},{"id":"W2598731240","doi":"10.1111/irfi.12190","title":"Market Quality around Macroeconomic News Announcements: Evidence from the US and Canadian Markets","year":2018,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Grantová Agentura České Republiky","keywords":"Market liquidity; Order (exchange); Listing (finance); Quality (philosophy); Transaction cost; Sample (material); Cross listing; Monetary economics; Business; Market microstructure; Economics; Database transaction; Market timing; Financial economics; Finance; Database","score_opus":0.04943101353511462,"score_gpt":0.29012346595110683,"score_spread":0.24069245241599221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598731240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9741624,0.0022345565,0.000172316,0.0011433347,0.00003330078,0.000038001534,0.008343062,0.000020509364,0.013852485],"genre_scores_gemma":[0.9937704,0.00081406545,0.00009106225,0.00009690365,0.00002817291,0.000004273453,0.00415893,0.000009789395,0.0010264057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984315,0.00009175971,0.00008533457,0.00014883395,0.0009278138,0.00031480752],"domain_scores_gemma":[0.97126365,0.0033097616,0.010998843,0.00083858595,0.011382782,0.002206353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018819897,0.00028578838,0.00042816985,0.0038186314,0.0016671695,0.003863751,0.00080396945,0.00057749584,0.003373222],"category_scores_gemma":[0.014857904,0.0002169702,0.00045064001,0.008036342,0.0009776917,0.0010359762,0.0011029899,0.000642326,0.0003053175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041001182,0.000068046524,0.97403413,0.00012536325,0.00026234935,0.00026776316,0.001925635,0.0007606093,0.0004132881,0.0011938456,0.0064919963,0.014046919],"study_design_scores_gemma":[0.000008177412,0.000011549997,0.9963186,0.000024581785,0.000040518655,0.000022701266,0.0007926086,0.0004610514,0.00012240885,0.00006190872,0.0021138093,0.00002213672],"about_ca_topic_score_codex":0.97033644,"about_ca_topic_score_gemma":0.9736143,"teacher_disagreement_score":0.029663563,"about_ca_system_score_codex":0.008449821,"about_ca_system_score_gemma":0.0071060946,"threshold_uncertainty_score":0.061308026},"labels":[],"label_agreement":null},{"id":"W2598769186","doi":"10.5539/ijef.v9n4p185","title":"The Effect of Foreign Portfolio Equity Sales on Stock Returns in Kenya: Evidence from NSE Listed Financial Institutions","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Panel data; Stock exchange; Equity (law); Volatility (finance); Business; Economics; Finance; Financial economics; Econometrics","score_opus":0.06868692684538541,"score_gpt":0.2980175827113536,"score_spread":0.22933065586596818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598769186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993166,0.00016308096,0.0000124309,0.000057776677,0.0000013011075,0.0000024350024,0.00008558503,4.487939e-7,0.00036034707],"genre_scores_gemma":[0.99941385,0.00025894426,0.000021199912,0.000012877908,0.0000029712407,0.000001555877,0.0001085589,3.5085694e-7,0.00017969539],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973303,0.000087385895,0.000030350584,0.000037798723,0.00004122872,0.00007014833],"domain_scores_gemma":[0.9973231,0.0007982986,0.0013611912,0.000057352383,0.00015330782,0.00030684922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058775244,0.0002151762,0.00021277007,0.0006311355,0.0004452314,0.00065654615,0.00021122595,0.00041478322,0.0021717926],"category_scores_gemma":[0.0023144654,0.00016445496,0.00027462613,0.0008370592,0.00037240703,0.000502084,0.00043035255,0.0004400438,0.00023247326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086946566,0.00009405227,0.99590486,0.000023568497,0.000043257834,0.00028361595,0.00039424642,0.000103789454,0.00033549973,0.000099215256,0.00009574325,0.0025352314],"study_design_scores_gemma":[0.0000023923221,0.000045569268,0.9988971,0.0000107530595,0.00001941887,0.00005128897,0.0005927407,0.00016735571,0.00008542168,0.000015538517,0.000109800305,0.000002514766],"about_ca_topic_score_codex":0.02551921,"about_ca_topic_score_gemma":0.06730878,"teacher_disagreement_score":0.02551921,"about_ca_system_score_codex":0.00049191125,"about_ca_system_score_gemma":0.0005023688,"threshold_uncertainty_score":0.050741374},"labels":[],"label_agreement":null},{"id":"W2599171280","doi":"10.2139/ssrn.2941015","title":"Post-Apocalyptic: The Real Consequences of Activist Short-Selling","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Advertising; Computer security; Computer science","score_opus":0.030693482016292902,"score_gpt":0.24692553266258113,"score_spread":0.21623205064628823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599171280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6617322,0.0023322399,0.0011880269,0.041786775,0.00085257407,0.000024794064,0.00036070452,0.00009147966,0.29163116],"genre_scores_gemma":[0.9843759,0.0002612853,0.00006764444,0.0015087271,0.00023276884,0.000004777368,0.000053654083,0.00002321252,0.013472027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99939764,0.00010701099,0.0000166331,0.000090610636,0.00015681025,0.00023129457],"domain_scores_gemma":[0.9955564,0.0014844196,0.0011864348,0.00044693198,0.0004611785,0.00086460495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013275716,0.000138327,0.00027089106,0.0004174616,0.001893261,0.0067374646,0.0004727463,0.0038169245,0.021286776],"category_scores_gemma":[0.008326123,0.00015914785,0.00016871323,0.00051341666,0.0025622915,0.0036974417,0.0016269517,0.005498729,0.002024683],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001670557,0.0006292821,0.021036524,0.00013233775,0.00008734696,0.0017586176,0.0058990135,0.0008450959,0.0018891188,0.8272023,0.07175356,0.067096226],"study_design_scores_gemma":[0.00045151377,0.0005061749,0.14329278,0.00042140714,0.00010984594,0.0013521723,0.018968418,0.0046217265,0.0030788484,0.5512346,0.2758279,0.00013455706],"about_ca_topic_score_codex":0.001953323,"about_ca_topic_score_gemma":0.0035758314,"teacher_disagreement_score":0.021286776,"about_ca_system_score_codex":0.0015539592,"about_ca_system_score_gemma":0.0007677616,"threshold_uncertainty_score":0.0712114},"labels":[],"label_agreement":null},{"id":"W2600709751","doi":"10.1093/jjfinec/nbx009","title":"Forecasting Stock Returns Using Option-Implied State Prices*","year":2017,"lang":"en","type":"article","venue":"Journal of Financial Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Econometrics; Quantile; Skewness; Capital asset pricing model; Volatility (finance); Equity premium puzzle; Equity (law); Stock (firearms); Risk aversion (psychology); Financial economics; Valuation of options; Expected utility hypothesis","score_opus":0.14764977923118888,"score_gpt":0.2658294531670003,"score_spread":0.11817967393581141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600709751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9443574,0.00023426981,0.05214317,0.00039199597,0.000025609,0.000020337482,0.0008807306,0.00026909623,0.0016774385],"genre_scores_gemma":[0.99642855,0.00007042773,0.0027827565,0.000011861526,0.000012658504,0.0000050822036,0.00048119586,0.000004747319,0.00020262705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997923,0.00006921336,0.000014906088,0.000050398572,0.000044764452,0.000028374863],"domain_scores_gemma":[0.99793196,0.0012355926,0.0003576561,0.0001784307,0.00019836194,0.00009816267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013116259,0.00051004323,0.0004379932,0.0010573101,0.00016925478,0.0010401267,0.0004998911,0.00075300573,0.001478024],"category_scores_gemma":[0.007577331,0.0003601697,0.00053630857,0.0009011647,0.00023357973,0.001385819,0.00044842932,0.0009414747,0.00031041395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003579917,0.00021685647,0.24373597,0.000054833876,0.00024237165,0.00020769062,0.00012369739,0.6716172,0.0026036915,0.016241185,0.0019453096,0.06265315],"study_design_scores_gemma":[0.0000049743076,0.0000139031235,0.008022172,0.0000038131705,0.000005292831,0.000008900544,0.000007625865,0.9889798,0.000210456,0.0026448516,0.00009207049,0.0000060769476],"about_ca_topic_score_codex":0.008549907,"about_ca_topic_score_gemma":0.008963516,"teacher_disagreement_score":0.008549907,"about_ca_system_score_codex":0.00046119306,"about_ca_system_score_gemma":0.00034058583,"threshold_uncertainty_score":0.017000258},"labels":[],"label_agreement":null},{"id":"W2600884591","doi":"10.2139/ssrn.2931362","title":"Information Overload and Cost of Equity Capital","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Information overload; Cost of capital; Business; Equity (law); Equity capital markets; Economics; Finance; Computer science; Microeconomics; Private equity; World Wide Web; Political science; Incentive","score_opus":0.020245513061195323,"score_gpt":0.23810555130345645,"score_spread":0.21786003824226113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600884591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96345896,0.0017302289,0.011074816,0.0027271416,0.0000603908,0.00003266105,0.00033198477,0.000053277417,0.020530494],"genre_scores_gemma":[0.9983157,0.00023975721,0.00028955532,0.00003543684,0.000042579275,0.0000036488418,0.00003885478,0.0000042796114,0.0010301267],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99921787,0.00022457432,0.000058316098,0.000083646984,0.00021133134,0.00020418847],"domain_scores_gemma":[0.94953305,0.040881395,0.0048326845,0.0019437412,0.0016031011,0.0012059518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019323585,0.00020134846,0.0005240491,0.0009978062,0.00027697926,0.0026197522,0.00052944187,0.001209657,0.008410333],"category_scores_gemma":[0.03474995,0.0002575596,0.00022622418,0.0010944299,0.00081363524,0.0043999855,0.00067440193,0.0009473179,0.00028366962],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036675867,0.0011892633,0.15974694,0.0004808815,0.00043954182,0.0021816785,0.0014993536,0.14390111,0.00708077,0.5016285,0.010477277,0.16770703],"study_design_scores_gemma":[0.00024382686,0.00048719515,0.15859511,0.00012750704,0.0003408658,0.0016788042,0.0011384767,0.16618201,0.0032368866,0.66212785,0.005717552,0.00012383418],"about_ca_topic_score_codex":0.0017008011,"about_ca_topic_score_gemma":0.0012994962,"teacher_disagreement_score":0.008410333,"about_ca_system_score_codex":0.0015001592,"about_ca_system_score_gemma":0.0007161576,"threshold_uncertainty_score":0.02813536},"labels":[],"label_agreement":null},{"id":"W2600887000","doi":"10.5430/afr.v6n2p94","title":"Consequences of CEO Overconfidence","year":2017,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Overconfidence effect; Argument (complex analysis); Economics; Optimism; Yield (engineering); Debt; Earnings; Bond; Monetary economics; Business; Actuarial science; Financial economics; Finance; Psychology; Social psychology","score_opus":0.1257285270213539,"score_gpt":0.33683900132376415,"score_spread":0.21111047430241026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600887000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99527574,0.00011849662,0.00022466,0.0002983457,0.00001891,0.000018713483,0.0001498469,0.000004817763,0.003890362],"genre_scores_gemma":[0.9991455,0.000039693787,0.00006421247,0.00007286393,0.00002684351,0.0000112497255,0.00008939521,0.0000013401483,0.00054886006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954,0.0015653439,0.00039782003,0.0005204023,0.001248838,0.0008675886],"domain_scores_gemma":[0.84412086,0.0856213,0.05311764,0.005503582,0.0035539214,0.008082739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067370175,0.0005101911,0.00057285686,0.0008192012,0.0006752705,0.002210323,0.000781515,0.0013416264,0.009870829],"category_scores_gemma":[0.050859436,0.00019923745,0.00045347764,0.0007337183,0.0010076608,0.0013757043,0.0016100392,0.0026939053,0.0007082583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025186315,0.0023235516,0.9648009,0.0000873687,0.0002665885,0.0004746676,0.00046632253,0.0038171292,0.001904295,0.0036806357,0.0013319978,0.018327892],"study_design_scores_gemma":[0.000285061,0.0032423874,0.97850686,0.00004103306,0.00017635457,0.00029572812,0.0013408571,0.00619299,0.0025716927,0.005954752,0.0013422337,0.000050063332],"about_ca_topic_score_codex":0.0021667155,"about_ca_topic_score_gemma":0.0014733423,"teacher_disagreement_score":0.009870829,"about_ca_system_score_codex":0.0007866919,"about_ca_system_score_gemma":0.000731722,"threshold_uncertainty_score":0.035629213},"labels":[],"label_agreement":null},{"id":"W2601230561","doi":"10.4102/sajbm.v32i1.716","title":"The persistence of performance of South African unit trusts","year":2001,"lang":"en","type":"article","venue":"South African Journal of Business Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit trust; Persistence (discontinuity); Equity (law); Unit (ring theory); Quarter (Canadian coin); Demographic economics; Economics; Demography; Actuarial science; Business; Mathematics; Monetary economics; Geography; Political science; Engineering; Sociology; Law","score_opus":0.03831675673891381,"score_gpt":0.19281515328562185,"score_spread":0.15449839654670805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601230561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993654,0.00006445573,0.000028325123,0.00007664942,0.0000018148411,0.0000019106653,0.000100464196,9.984401e-7,0.0003599681],"genre_scores_gemma":[0.99974054,0.000026371808,0.00000867435,0.0000032567957,0.0000017639574,0.0000010004221,0.000061572486,4.4147117e-7,0.00015635147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989262,0.00013307096,0.00011556005,0.0001260393,0.00029802806,0.0004010266],"domain_scores_gemma":[0.98794055,0.0010271636,0.007517073,0.00044899312,0.0015440317,0.0015222246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014170267,0.00015265578,0.0002613308,0.0016176971,0.0006050331,0.0013047458,0.00040058664,0.0003196558,0.0018641452],"category_scores_gemma":[0.012740809,0.00013580512,0.00016597293,0.0017417033,0.00072310545,0.0011365056,0.0012199787,0.00049128383,0.00037982262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007856798,0.000023651864,0.9905261,0.00001256649,0.000023137662,0.00015658943,0.0026206542,0.0001228154,0.00030659713,0.00013764897,0.00018501011,0.005806559],"study_design_scores_gemma":[9.003681e-7,0.000059212696,0.9976344,0.000007860939,0.000003356378,0.000083988394,0.0016782236,0.00014273627,0.00007595734,0.00003696591,0.00027153446,0.000005007345],"about_ca_topic_score_codex":0.022503057,"about_ca_topic_score_gemma":0.020224465,"teacher_disagreement_score":0.022503057,"about_ca_system_score_codex":0.0013551965,"about_ca_system_score_gemma":0.0008176986,"threshold_uncertainty_score":0.044744134},"labels":[],"label_agreement":null},{"id":"W2601345365","doi":"10.5430/afr.v8n1p203","title":"The Low Beta Anomaly and Estimation Interval","year":2019,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Estimation; BETA (programming language); Interval estimation; Econometrics; Statistics; Anomaly (physics); Equity (law); Confidence interval; Interval (graph theory); Mathematics; Economics; Computer science","score_opus":0.03906098046647789,"score_gpt":0.27941061988377935,"score_spread":0.24034963941730147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601345365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9567967,0.0010584507,0.031409975,0.0006240391,0.000093656585,0.000032415315,0.0002693748,0.00018550921,0.009529901],"genre_scores_gemma":[0.99766207,0.00006814931,0.0017900805,0.000057316858,0.00004603769,0.000011984981,0.00016284216,0.000018674371,0.00018280973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9908112,0.002862697,0.001135108,0.0015786068,0.0029836516,0.0006287287],"domain_scores_gemma":[0.66802555,0.25557867,0.04175619,0.01853131,0.013860553,0.0022477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017111627,0.0002443996,0.0005037443,0.0021400708,0.00038446794,0.0021319382,0.0008542788,0.00080180884,0.0018896654],"category_scores_gemma":[0.20296222,0.00021078436,0.00035907124,0.001891879,0.0011065729,0.002635257,0.0015397435,0.002058052,0.0003615966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044567932,0.000081655446,0.92606866,0.000068557536,0.00009808396,0.00024569666,0.0011372411,0.002174672,0.0012660421,0.0078308685,0.00079905335,0.059783738],"study_design_scores_gemma":[0.0000295896,0.0004081512,0.9646177,0.00011136954,0.00010299331,0.0011387025,0.0009551686,0.014139525,0.0024820843,0.013679341,0.0022657902,0.000069555696],"about_ca_topic_score_codex":0.0011219452,"about_ca_topic_score_gemma":0.00048740604,"teacher_disagreement_score":0.017111627,"about_ca_system_score_codex":0.0005671565,"about_ca_system_score_gemma":0.0005111432,"threshold_uncertainty_score":0.090496},"labels":[],"label_agreement":null},{"id":"W2601609073","doi":"10.1146/annurev-financial-110716-032355","title":"Information Disclosure in Financial Markets","year":2017,"lang":"en","type":"article","venue":"Annual Review of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":418,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"CONTEST; Financial market; Business; Investment (military); Quality (philosophy); Capital market; Private information retrieval; Production (economics); Investment decisions; Welfare; Financial instrument; Information asymmetry; Voluntary disclosure; Finance; Economics; Microeconomics; Market economy","score_opus":0.015403938471505984,"score_gpt":0.23212782424286862,"score_spread":0.21672388577136265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601609073","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08592545,0.33980718,0.21225809,0.056220684,0.0024266792,0.0004030544,0.0010283918,0.00027259596,0.3016578],"genre_scores_gemma":[0.8361415,0.12311789,0.01992383,0.0056626927,0.0039219367,0.00021725947,0.00024259085,0.000052499083,0.01071979],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9903972,0.0044682347,0.00074033457,0.0007678677,0.0030559648,0.0005703218],"domain_scores_gemma":[0.97092485,0.019671822,0.0052549527,0.0019968825,0.0018266881,0.00032486086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008089776,0.00047636824,0.00079559116,0.0020171355,0.0015415921,0.006049712,0.001009047,0.004410398,0.004203743],"category_scores_gemma":[0.031860303,0.00039317153,0.00074395345,0.002928359,0.0048725265,0.008399042,0.0018460591,0.0027064236,0.000582265],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028293545,0.000026249934,0.0012391624,0.00059613446,0.000042883585,0.00017465185,0.00040241456,0.002633333,0.00034408396,0.93366903,0.004655283,0.05618861],"study_design_scores_gemma":[0.00001981228,0.0000682012,0.0022507277,0.001137429,0.00007091931,0.0006854951,0.00028391866,0.0044083633,0.0010907974,0.8904214,0.09950469,0.000058190337],"about_ca_topic_score_codex":0.00084806624,"about_ca_topic_score_gemma":0.0005449397,"teacher_disagreement_score":0.008089776,"about_ca_system_score_codex":0.0019957838,"about_ca_system_score_gemma":0.0021456664,"threshold_uncertainty_score":0.04278338},"labels":[],"label_agreement":null},{"id":"W2601697013","doi":"10.1057/s41260-017-0047-6","title":"Extreme risk and small investor behavior in developed markets","year":2017,"lang":"en","type":"article","venue":"Journal of Asset Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mutual fund; Standard deviation; Equity (law); Hedge fund; Business; Economics; Financial economics; Emerging markets; Econometrics; Monetary economics; Finance; Statistics","score_opus":0.07840838725933087,"score_gpt":0.24346289500006638,"score_spread":0.1650545077407355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601697013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976011,0.00011382111,0.0013880393,0.00016712472,0.0000022069069,0.000002664852,0.000009478334,0.0000039749675,0.00071169646],"genre_scores_gemma":[0.99966764,0.00004931253,0.00006985015,0.000008769368,0.0000038282337,8.1441215e-7,0.000007628498,7.559044e-7,0.00019139463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998592,0.00006242123,0.000008007392,0.00001805241,0.000017833707,0.000034411612],"domain_scores_gemma":[0.9932806,0.0040060994,0.0016332623,0.00021707179,0.00019180923,0.0006712567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012754531,0.00011428966,0.000251308,0.00038554022,0.0002134941,0.00095440116,0.00029459345,0.00062080263,0.001725139],"category_scores_gemma":[0.011693142,0.00014206034,0.000118695694,0.00022443263,0.0008666774,0.0011738406,0.00051771663,0.0005927221,0.00009230364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010045258,0.0006592024,0.80004096,0.00006680231,0.0003311103,0.002420215,0.0019324925,0.04279698,0.0034851928,0.122647196,0.0017307345,0.02288457],"study_design_scores_gemma":[0.00013795258,0.00028996682,0.6146624,0.000030416268,0.00011651477,0.00090208865,0.001958809,0.17441338,0.0009109673,0.20528008,0.0012414015,0.000056060457],"about_ca_topic_score_codex":0.0013259503,"about_ca_topic_score_gemma":0.0018755865,"teacher_disagreement_score":0.001725139,"about_ca_system_score_codex":0.00026561468,"about_ca_system_score_gemma":0.00017659589,"threshold_uncertainty_score":0.006745279},"labels":[],"label_agreement":null},{"id":"W2602450188","doi":"","title":"Volatility Transmission and Spillover Effects of Interest and Exchange Rate Risk: Evidence from Banking Sector of Pakistan","year":2017,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Heteroscedasticity; Economics; Volatility (finance); Autoregressive conditional heteroskedasticity; Ordinary least squares; Exchange rate; Interest rate; Forward volatility; Financial economics; Stock exchange; Stock market; Stochastic volatility; Monetary economics; Finance","score_opus":0.059843811356095754,"score_gpt":0.262367808400403,"score_spread":0.20252399704430726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602450188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99816376,0.0003739251,0.00008197298,0.00014932,0.0000024332699,0.0000033814067,0.0001092288,0.0000013700608,0.0011147406],"genre_scores_gemma":[0.9990969,0.0005967395,0.000036368343,0.000018362649,0.00000794171,8.67192e-7,0.00011381242,4.3334694e-7,0.00012860933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979216,0.00005178287,0.000022061915,0.000041474366,0.000049440736,0.000043068438],"domain_scores_gemma":[0.99761546,0.0009536103,0.00096336484,0.00009935013,0.0002406626,0.00012744857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046079585,0.00014226517,0.00017734815,0.000754456,0.00032261055,0.00072578964,0.00013388148,0.00029280895,0.0017116463],"category_scores_gemma":[0.0019061682,0.0001379545,0.00021621933,0.0010379906,0.00034039837,0.00060010096,0.00042859765,0.0003555701,0.00022374146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011337438,0.000075840464,0.9821192,0.000065212305,0.00007498013,0.0007669908,0.0012418682,0.00041159906,0.00047330192,0.0006736587,0.00037516284,0.013608897],"study_design_scores_gemma":[0.0000059910362,0.00006807726,0.99662834,0.000025337435,0.000054468408,0.0002535432,0.0014781486,0.0005231748,0.00018073058,0.0002516944,0.00052341784,0.0000070020205],"about_ca_topic_score_codex":0.013510556,"about_ca_topic_score_gemma":0.013108132,"teacher_disagreement_score":0.013510556,"about_ca_system_score_codex":0.00028245494,"about_ca_system_score_gemma":0.00040336463,"threshold_uncertainty_score":0.026863813},"labels":[],"label_agreement":null},{"id":"W2602591231","doi":"10.1111/jofi.12995","title":"The Misguided Beliefs of Financial Advisors","year":2020,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":194,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Finance; Business; Sample (material); Advice (programming); Net worth; Economics; Actuarial science; Marketing","score_opus":0.03214307912252758,"score_gpt":0.20907620408227687,"score_spread":0.17693312495974928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602591231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9309276,0.0017966878,0.0012040555,0.02271626,0.00012993139,0.000031604595,0.0001438585,0.000034948487,0.04301512],"genre_scores_gemma":[0.99699104,0.00024876816,0.000108684966,0.0012918389,0.00002938587,0.000003967906,0.000011831933,0.000004036773,0.0013104392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99065304,0.004624291,0.0003537367,0.0004477941,0.0025928426,0.001328295],"domain_scores_gemma":[0.90528864,0.048649345,0.021620153,0.0048069675,0.012117923,0.007517039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010035182,0.00024793396,0.00039076942,0.0015554086,0.0028655245,0.005603377,0.0008844581,0.002497109,0.0074727684],"category_scores_gemma":[0.0832513,0.00025708022,0.00017274244,0.001107367,0.005601844,0.0020291854,0.0015637907,0.0029335986,0.0009951773],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012503858,0.00035014437,0.59206456,0.00029256297,0.00024873365,0.0025005299,0.15840988,0.0013935554,0.002187018,0.038140696,0.035459254,0.1677026],"study_design_scores_gemma":[0.0002227086,0.00050883397,0.5301834,0.001021332,0.00023956058,0.0028112985,0.27473864,0.0066692256,0.0023841397,0.05044108,0.1304541,0.000325716],"about_ca_topic_score_codex":0.056805585,"about_ca_topic_score_gemma":0.047947664,"teacher_disagreement_score":0.056805585,"about_ca_system_score_codex":0.005105168,"about_ca_system_score_gemma":0.002872994,"threshold_uncertainty_score":0.11294985},"labels":[],"label_agreement":null},{"id":"W2602708304","doi":"10.2139/ssrn.2788325","title":"When the Options Market Disagrees","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; McGill University","funders":"","keywords":"Business; Economics; Financial system; Financial economics","score_opus":0.015278889492406337,"score_gpt":0.19882296384643994,"score_spread":0.1835440743540336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602708304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4254966,0.0010755631,0.012154908,0.21196954,0.0024928825,0.0001377363,0.00066011265,0.0001545239,0.34585807],"genre_scores_gemma":[0.9742338,0.00026213305,0.0010178372,0.014211928,0.0009991614,0.00005735625,0.000170569,0.00007351923,0.008973688],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9933373,0.0024224455,0.0003791424,0.00075898337,0.0015375989,0.0015645631],"domain_scores_gemma":[0.9678183,0.020611502,0.003592343,0.0018838012,0.003384229,0.0027097908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01321963,0.00024836883,0.00077769166,0.0009944396,0.0016447721,0.0058579,0.0012321338,0.0077039935,0.023867855],"category_scores_gemma":[0.07275419,0.00027056815,0.0005482161,0.0007331623,0.002899669,0.007887919,0.003088112,0.008193906,0.0023021586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015971662,0.00029706155,0.046212465,0.00016893288,0.00021350473,0.004249097,0.0042966343,0.0024767823,0.001831242,0.7744808,0.083503604,0.08067258],"study_design_scores_gemma":[0.00023835406,0.00012643999,0.02238367,0.00019696614,0.00007880084,0.0011503652,0.008696108,0.011809694,0.0012543324,0.89853966,0.055414923,0.00011080106],"about_ca_topic_score_codex":0.0011972106,"about_ca_topic_score_gemma":0.0012998985,"teacher_disagreement_score":0.023867855,"about_ca_system_score_codex":0.0012853183,"about_ca_system_score_gemma":0.0014526643,"threshold_uncertainty_score":0.079845905},"labels":[],"label_agreement":null},{"id":"W2604123695","doi":"10.1111/fire.12128","title":"A Generalized Earnings‐Based Stock Valuation Model with Learning","year":2017,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Unobservable; Valuation (finance); Earnings; Earnings growth; Risk premium; Economics; Econometrics; Stock (firearms); Portfolio; Growth stock; Stock market; Financial economics; Actuarial science; Finance; Restricted stock","score_opus":0.09666066144336923,"score_gpt":0.27960142433633367,"score_spread":0.18294076289296446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604123695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5581501,0.0015776786,0.4188097,0.0043818513,0.0001429615,0.00011452429,0.0015946948,0.00030408043,0.014924354],"genre_scores_gemma":[0.9840965,0.00043931394,0.00566135,0.0001267682,0.00007774159,0.00006222217,0.0003432484,0.000015535143,0.00917735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993783,0.00021902932,0.00002998549,0.00016031727,0.00010264875,0.000109549284],"domain_scores_gemma":[0.9975789,0.0012854461,0.00061856094,0.0001061917,0.0002538027,0.00015719881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018400231,0.00088981754,0.001966943,0.00069671747,0.00032983278,0.0021811426,0.0021977653,0.002358783,0.0027910993],"category_scores_gemma":[0.0047719353,0.0007567057,0.0010035852,0.00071589457,0.0013552435,0.0021681716,0.0009927464,0.0016466116,0.00027167294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006804614,0.000041814,0.0017093361,0.000036183243,0.00006129251,0.00025447443,0.000053501582,0.9499492,0.0004276312,0.043325163,0.00057389215,0.0034995298],"study_design_scores_gemma":[0.000026534883,0.00001789445,0.00046546588,0.0000051993493,0.00001628971,0.000019400082,0.0000065257377,0.9876693,0.000052525393,0.011535091,0.00017276518,0.00001300809],"about_ca_topic_score_codex":0.018057829,"about_ca_topic_score_gemma":0.0065307203,"teacher_disagreement_score":0.018057829,"about_ca_system_score_codex":0.0013952544,"about_ca_system_score_gemma":0.0011976953,"threshold_uncertainty_score":0.03590542},"labels":[],"label_agreement":null},{"id":"W2605273099","doi":"10.1016/j.rfe.2017.04.001","title":"Volatility measures as predictors of extreme returns","year":2017,"lang":"en","type":"article","venue":"Review of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Volatility (finance); Economics; Econometrics; Volatility risk premium; Forward volatility; Volatility smile; Implied volatility; Autoregressive conditional heteroskedasticity; Volatility swap; Financial economics","score_opus":0.06077677900723268,"score_gpt":0.24617065097546223,"score_spread":0.18539387196822954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605273099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910687,0.002589175,0.0024015524,0.00027157232,0.000016767943,0.000011155871,0.00073630194,0.000034151748,0.0028706947],"genre_scores_gemma":[0.9992256,0.00031701155,0.00012146483,0.000007215758,0.000012236176,0.0000016079971,0.00019649653,0.0000015549106,0.00011683421],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942774,0.00009929473,0.000038352093,0.00006801252,0.00027520966,0.000091308466],"domain_scores_gemma":[0.99168456,0.0031316543,0.0036031392,0.00021613002,0.0008633303,0.00050117966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010242303,0.00023867252,0.00028784087,0.0018757177,0.00020155536,0.0012022662,0.0003618756,0.00037256666,0.001149854],"category_scores_gemma":[0.008949734,0.000115366,0.0003275846,0.002025393,0.0004163006,0.00038070587,0.0003607814,0.0006650238,0.00012702463],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121864636,0.00003226487,0.97894865,0.000038161666,0.0002396756,0.00015478929,0.000056826782,0.005734599,0.0005246462,0.002184746,0.00038991292,0.011573885],"study_design_scores_gemma":[0.0000043668497,0.00003925348,0.9880276,0.000019282095,0.000031938762,0.000121988116,0.000071652,0.008099967,0.00032725197,0.0027584857,0.0004831582,0.000015140105],"about_ca_topic_score_codex":0.026668772,"about_ca_topic_score_gemma":0.017006477,"teacher_disagreement_score":0.026668772,"about_ca_system_score_codex":0.00093867665,"about_ca_system_score_gemma":0.0006802781,"threshold_uncertainty_score":0.053027093},"labels":[],"label_agreement":null},{"id":"W2605583767","doi":"10.2139/ssrn.2947340","title":"Momentum, Reversals, and other Puzzles in Fama-MacBeth Cross-Sectional Regressions","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Econometrics; Momentum (technical analysis); Mathematics; Financial economics","score_opus":0.03595387647322701,"score_gpt":0.27268017389231347,"score_spread":0.23672629741908646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605583767","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96268654,0.0061505577,0.007974315,0.0062206644,0.0005385102,0.000052953685,0.0061057326,0.0005859233,0.009684813],"genre_scores_gemma":[0.98892164,0.0006823382,0.00073317526,0.00028040196,0.00042546817,0.000016547416,0.0042052115,0.00009236733,0.0046428763],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976732,0.00087785476,0.00031237327,0.0005444261,0.00028749826,0.00030469225],"domain_scores_gemma":[0.9154801,0.05026104,0.022995505,0.007199177,0.0023607002,0.0017036111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013454642,0.00092834106,0.0015568971,0.004038248,0.0010389537,0.004244065,0.0018638604,0.0024592364,0.01216704],"category_scores_gemma":[0.07573839,0.0005850426,0.0017152727,0.0057458538,0.0012566341,0.0032360724,0.0012466647,0.003542204,0.0024540818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068047794,0.000276435,0.8953084,0.0001911248,0.0020464328,0.0010817068,0.0008260289,0.014341909,0.00047869387,0.016297305,0.029073944,0.03939762],"study_design_scores_gemma":[0.00030306078,0.00047427934,0.82780033,0.0003140946,0.0031765844,0.001071744,0.0022016026,0.09967967,0.0014054872,0.03743818,0.02594807,0.0001868662],"about_ca_topic_score_codex":0.017785104,"about_ca_topic_score_gemma":0.008600061,"teacher_disagreement_score":0.017785104,"about_ca_system_score_codex":0.0006664927,"about_ca_system_score_gemma":0.00083355594,"threshold_uncertainty_score":0.071155846},"labels":[],"label_agreement":null},{"id":"W2605818121","doi":"10.2139/ssrn.2938146","title":"Use of Leverage, Short Sales, and Options by Mutual Funds","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Queen's University","funders":"","keywords":"Leverage (statistics); Business; Finance; Computer science","score_opus":0.047746770867561135,"score_gpt":0.23785870746022628,"score_spread":0.19011193659266515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605818121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99199533,0.0016653218,0.00036488537,0.00058385474,0.0000075883386,0.0000050837853,0.0001923783,0.000010888718,0.005174697],"genre_scores_gemma":[0.99911994,0.00028240427,0.00006594665,0.000011707675,0.00001514531,0.0000017755623,0.00006585477,0.000002166822,0.0004350898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888104,0.0004594488,0.00010421822,0.00010180653,0.00029549468,0.00015795646],"domain_scores_gemma":[0.9790916,0.010487583,0.00762587,0.0006935237,0.00064171513,0.0014596818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018557514,0.00025577564,0.00029589562,0.0015501966,0.00041678225,0.0020378393,0.0005479536,0.0009826655,0.0034935488],"category_scores_gemma":[0.02654628,0.0001508006,0.00031114608,0.0012116716,0.00052769564,0.002608079,0.0011448577,0.000763281,0.00025722143],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012731678,0.00031694688,0.90118676,0.00008644594,0.00032000992,0.0007571659,0.0016626796,0.0019362468,0.001954586,0.013624808,0.0011444744,0.07573667],"study_design_scores_gemma":[0.00006276404,0.0007085469,0.9476611,0.00017934735,0.00036294866,0.002227596,0.0032114375,0.014207725,0.0030120695,0.02132006,0.0069687837,0.00007760776],"about_ca_topic_score_codex":0.0027133308,"about_ca_topic_score_gemma":0.0042527993,"teacher_disagreement_score":0.0034935488,"about_ca_system_score_codex":0.0007706882,"about_ca_system_score_gemma":0.00042849348,"threshold_uncertainty_score":0.0116871},"labels":[],"label_agreement":null},{"id":"W2605989344","doi":"10.18374/jife-13-1.7","title":"MONDAY EFFECT DURING DIFFERENT MARKET STATES: THE INTERNATIONAL EVIDENCE","year":2013,"lang":"en","type":"article","venue":"Journal of International Finance and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Weekend effect; Equity (law); Heteroscedasticity; Names of the days of the week; Stock market; Volatility (finance); Arbitrage; Financial economics; Stock (firearms); Standard deviation; Econometrics; January effect; Monetary economics; Geography; Statistics; Mathematics","score_opus":0.01580080762207487,"score_gpt":0.20589671547866273,"score_spread":0.19009590785658786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605989344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98462373,0.00508759,0.0009462203,0.00048408838,0.00006432371,0.000012499546,0.0004201485,0.000022760203,0.008338592],"genre_scores_gemma":[0.9977234,0.0011429918,0.0001765545,0.0000879671,0.0001045573,0.0000028745212,0.0002899485,0.000014519659,0.00045723005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993315,0.0001536564,0.00006113504,0.00019541582,0.00016722296,0.0000911178],"domain_scores_gemma":[0.9820411,0.008016592,0.0063415915,0.0015455944,0.0013485426,0.0007065646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019773054,0.00023818875,0.0004511874,0.00116489,0.00040061548,0.0016493676,0.0004257234,0.00048965943,0.0043164827],"category_scores_gemma":[0.009541596,0.00017866217,0.00075727527,0.0014892848,0.00102859,0.0014515753,0.0010235899,0.00062288914,0.00036356272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006878162,0.000080987185,0.9610243,0.00025084315,0.0006329803,0.00031328315,0.0011177647,0.00044114474,0.0018960312,0.0020682074,0.0009988853,0.030487716],"study_design_scores_gemma":[0.000007265706,0.00006257599,0.99662775,0.000027224072,0.00013531854,0.00009822173,0.00030674643,0.00032194366,0.0005006445,0.00022763133,0.0016724261,0.000012137044],"about_ca_topic_score_codex":0.0071755974,"about_ca_topic_score_gemma":0.006902377,"teacher_disagreement_score":0.0071755974,"about_ca_system_score_codex":0.00032925094,"about_ca_system_score_gemma":0.00023634057,"threshold_uncertainty_score":0.01444006},"labels":[],"label_agreement":null},{"id":"W2606817207","doi":"10.2139/ssrn.2939012","title":"Inverted Fee Venues and Market Quality","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Quality (philosophy); Business; Industrial organization","score_opus":0.02431227034717605,"score_gpt":0.23806273279015053,"score_spread":0.21375046244297446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606817207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8514639,0.0015286417,0.041811407,0.0033119107,0.000112004585,0.00014029162,0.0011493019,0.00048546624,0.09999712],"genre_scores_gemma":[0.9932162,0.00013828895,0.0017035716,0.000048643433,0.000049877537,0.000012754551,0.00015909795,0.000040859813,0.0046306555],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99836606,0.000566567,0.00009671963,0.0001807238,0.00036504914,0.0004249305],"domain_scores_gemma":[0.9451644,0.034625463,0.006621312,0.003806056,0.0028710186,0.006911752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028237323,0.00026141552,0.0010741769,0.003097486,0.001368959,0.005738193,0.0013295986,0.0016737395,0.05264211],"category_scores_gemma":[0.057407927,0.00030487592,0.00044842844,0.00296245,0.0022534432,0.010448867,0.0020159022,0.0020265798,0.0018710614],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001372664,0.0006729721,0.058635008,0.00018348359,0.00014416921,0.0003506432,0.000741182,0.016169561,0.0012663332,0.83069956,0.01234369,0.0774207],"study_design_scores_gemma":[0.00021745583,0.00021515434,0.025176492,0.00005803494,0.000066960194,0.0006896205,0.0013745826,0.04178192,0.00056820386,0.9228839,0.0068906075,0.00007705873],"about_ca_topic_score_codex":0.0028480198,"about_ca_topic_score_gemma":0.00326405,"teacher_disagreement_score":0.05264211,"about_ca_system_score_codex":0.001483574,"about_ca_system_score_gemma":0.0007711514,"threshold_uncertainty_score":0.17610538},"labels":[],"label_agreement":null},{"id":"W2607410355","doi":"10.1111/eufm.12207","title":"NAV inflation and impact on performance in China","year":2018,"lang":"en","type":"article","venue":"European Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Inflation (cosmology); China; Equity (law); Economics; Monetary economics; Asset (computer security); Business; Geography","score_opus":0.014809136768934071,"score_gpt":0.20217315532367225,"score_spread":0.18736401855473817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607410355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987268,0.000082610575,0.000036109817,0.00008332808,0.000003496709,0.000002553835,0.00011949932,0.000003609503,0.000941932],"genre_scores_gemma":[0.9996302,0.000028608976,0.000012629682,0.000008233933,0.0000062081785,0.0000010429588,0.00011521658,5.8555537e-7,0.00019727096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953663,0.00007121801,0.00006315792,0.000053955824,0.00014368322,0.00013140838],"domain_scores_gemma":[0.9966582,0.00022197119,0.0018987514,0.000099188,0.00055491104,0.00056694786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077672105,0.00020537767,0.00018175364,0.0013066441,0.00035601767,0.00075294013,0.00019075205,0.00023275049,0.0012703381],"category_scores_gemma":[0.0027911842,0.00008606702,0.00017460526,0.0013978314,0.0003324486,0.00041538448,0.0006456286,0.00023579138,0.00015388048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042171487,0.000018546583,0.99426454,0.00001070854,0.00002109547,0.00009321029,0.00019568454,0.000273305,0.00019021916,0.00022701427,0.00017336689,0.0044900523],"study_design_scores_gemma":[0.000001825128,0.000025082147,0.99883825,0.0000031225286,0.000006631609,0.000026371863,0.000110359135,0.0006494588,0.00006150922,0.000081047976,0.0001927997,0.0000035310204],"about_ca_topic_score_codex":0.020764997,"about_ca_topic_score_gemma":0.01948518,"teacher_disagreement_score":0.020764997,"about_ca_system_score_codex":0.0009241276,"about_ca_system_score_gemma":0.0009398082,"threshold_uncertainty_score":0.041288257},"labels":[],"label_agreement":null},{"id":"W2609233574","doi":"10.5430/afr.v6n2p169","title":"Do the Israeli Provident Funds have the Ability to Time the Bond and Stock Markets? An Analysis across Alternative Investments","year":2017,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market timing; Asset allocation; Portfolio; Equity (law); Bond; Bond market; Economics; Business; Mutual fund; Stock market; Target date fund; Stock (firearms); Finance; Financial economics; Monetary economics; Open-end fund; Institutional investor; Corporate governance","score_opus":0.0969476072048688,"score_gpt":0.36474228749469795,"score_spread":0.26779468028982917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609233574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99876094,0.00014981953,0.00009614923,0.00003542125,0.0000014666612,0.000003798002,0.0001646675,0.0000020547643,0.0007857315],"genre_scores_gemma":[0.9992748,0.00006616742,0.000056395354,0.0000062508884,0.0000064874976,0.0000037335017,0.00036037684,8.841708e-7,0.0002249243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942446,0.00008997087,0.000079418176,0.00010175744,0.00019087657,0.000113531845],"domain_scores_gemma":[0.989933,0.0024361128,0.005650719,0.00059442833,0.00074105535,0.0006446274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020491907,0.00023641899,0.00034028903,0.00201617,0.00031080897,0.0014019128,0.00042852163,0.0004961019,0.0017818443],"category_scores_gemma":[0.009346729,0.00012483298,0.00037726026,0.0013546608,0.0003268917,0.0013576787,0.00060536386,0.00032243773,0.00023972295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021794588,0.00007004393,0.9874379,0.00001604783,0.00007679326,0.00009387853,0.0003114829,0.0007077829,0.0006278191,0.0005781243,0.00012603423,0.009736124],"study_design_scores_gemma":[0.000006445325,0.00007768147,0.99720085,0.000005827016,0.000022757215,0.000075051525,0.00018833307,0.0014830768,0.00026911966,0.00018819967,0.00047664857,0.0000060099446],"about_ca_topic_score_codex":0.0068952516,"about_ca_topic_score_gemma":0.0087721525,"teacher_disagreement_score":0.0068952516,"about_ca_system_score_codex":0.0007978122,"about_ca_system_score_gemma":0.00029685008,"threshold_uncertainty_score":0.013710201},"labels":[],"label_agreement":null},{"id":"W2609863270","doi":"10.5539/ijef.v9n4p225","title":"The Impact of Global Financial Crisis on Market Efficiency: An Empirical Analysis of the Indian Stock Market","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inefficiency; Financial crisis; Stock market; Economics; Efficient-market hypothesis; Incentive; Financial economics; Market depth; Market microstructure; Business; Order (exchange); Finance; Market economy; Macroeconomics","score_opus":0.026349911035386784,"score_gpt":0.29051311405445973,"score_spread":0.2641632030190729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609863270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99813914,0.0001207466,0.00012686844,0.00009465433,0.000002270035,0.000006059364,0.00008669269,0.0000066131033,0.0014168663],"genre_scores_gemma":[0.99962413,0.00007414192,0.0000370882,0.000011656394,0.000006006702,0.0000017250503,0.000121416095,0.0000021122296,0.00012178429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995479,0.00011149229,0.00003849221,0.000041612744,0.00013148885,0.00012896996],"domain_scores_gemma":[0.99546635,0.00207603,0.0013342124,0.00028914335,0.0005176775,0.0003166573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010232701,0.00023012924,0.00037040777,0.0018304957,0.0003069054,0.0014856679,0.0003603055,0.0004225838,0.0016722104],"category_scores_gemma":[0.005482014,0.00013374891,0.00062498916,0.002123939,0.00077780394,0.0012120658,0.00066229206,0.000823921,0.0003012194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003756951,0.000289932,0.9685462,0.00008268028,0.00028636487,0.0009401209,0.00093487184,0.008934586,0.0019131955,0.002528182,0.0010571672,0.0141110765],"study_design_scores_gemma":[0.000007843747,0.00008883592,0.98525226,0.000010536169,0.000055718367,0.00023752083,0.0007653586,0.012259627,0.00040815116,0.0005166011,0.00038162188,0.000016051803],"about_ca_topic_score_codex":0.009753396,"about_ca_topic_score_gemma":0.0052990667,"teacher_disagreement_score":0.009753396,"about_ca_system_score_codex":0.00054606487,"about_ca_system_score_gemma":0.00050295837,"threshold_uncertainty_score":0.019393265},"labels":[],"label_agreement":null},{"id":"W2610549264","doi":"10.5539/ijef.v9n6p15","title":"Application of the q-factor Model to the Japanese Share Market","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Economics; Econometrics; Value premium; Stock exchange; Financial economics; Value (mathematics); Factor analysis; Factor (programming language); Stock market; Statistics; Mathematics; Finance; Computer science; Geography","score_opus":0.034400151517188726,"score_gpt":0.2386555348026426,"score_spread":0.20425538328545387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610549264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87154037,0.0005427686,0.12161316,0.0008470849,0.000087255394,0.00011360655,0.00028959863,0.00017161784,0.0047944933],"genre_scores_gemma":[0.99268335,0.00014558775,0.0062032077,0.00004639112,0.00002812468,0.000026793232,0.0001708721,0.000019518327,0.00067605724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883264,0.0006675319,0.000044921533,0.00020138349,0.00010846371,0.00014513468],"domain_scores_gemma":[0.9958046,0.002462376,0.00051442656,0.00036863395,0.00061640877,0.00023341125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048011695,0.0006518849,0.00072822074,0.0010680401,0.00056736026,0.0014410451,0.001027266,0.00092638924,0.0023657265],"category_scores_gemma":[0.014543873,0.00027676573,0.001416815,0.0011627798,0.00085808954,0.002470963,0.00074952963,0.00083895813,0.0003547839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011288698,0.00040124025,0.15283532,0.0002438773,0.00083057256,0.0013068191,0.002307456,0.60740876,0.0025717414,0.13986497,0.005472429,0.08562794],"study_design_scores_gemma":[0.00009172521,0.00016539,0.017962607,0.000014091813,0.00008534008,0.00010254687,0.00030770415,0.94481254,0.00018721829,0.03491762,0.001306706,0.000046485402],"about_ca_topic_score_codex":0.046603292,"about_ca_topic_score_gemma":0.013097735,"teacher_disagreement_score":0.046603292,"about_ca_system_score_codex":0.0010522703,"about_ca_system_score_gemma":0.0010429686,"threshold_uncertainty_score":0.09266406},"labels":[],"label_agreement":null},{"id":"W2611701687","doi":"10.2139/ssrn.2956970","title":"Equilibrium Analysis of Expected Shortfall","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Expected shortfall; Econometrics; Economics; Actuarial science; Financial economics","score_opus":0.024866557457893488,"score_gpt":0.23812347475687526,"score_spread":0.21325691729898177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611701687","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14568265,0.0011012572,0.7940987,0.0024318679,0.00028002777,0.00011531103,0.00031965293,0.0003557545,0.055614803],"genre_scores_gemma":[0.9557,0.00046737207,0.021769173,0.0001801038,0.00017493522,0.00009447529,0.00019764033,0.00016048948,0.021255879],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99929774,0.00029199896,0.000028729773,0.00010850728,0.00012868145,0.0001444265],"domain_scores_gemma":[0.99569917,0.0028711227,0.00032983383,0.00016545324,0.0006087663,0.0003256754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020919722,0.00087702984,0.0014198256,0.001369718,0.0007277851,0.0026292007,0.0023472,0.0019750663,0.012063034],"category_scores_gemma":[0.011669492,0.0008165688,0.0013575708,0.00078625156,0.0016532746,0.0032552825,0.0014185653,0.0017627707,0.0008639169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006874813,0.0000705984,0.0006183073,0.00010285819,0.000054474414,0.00018639799,0.00013246191,0.27530587,0.0016973068,0.7156821,0.002059925,0.004021026],"study_design_scores_gemma":[0.000015646452,0.000017444978,0.00018889115,0.000012181589,0.000012098924,0.000037003712,0.000026656411,0.86341095,0.00019186248,0.135699,0.00037584951,0.000012491987],"about_ca_topic_score_codex":0.0040797708,"about_ca_topic_score_gemma":0.00246888,"teacher_disagreement_score":0.012063034,"about_ca_system_score_codex":0.002047205,"about_ca_system_score_gemma":0.0018185645,"threshold_uncertainty_score":0.040354848},"labels":[],"label_agreement":null},{"id":"W2611720002","doi":"10.2139/ssrn.2962479","title":"How Do Smart Beta ETFs Affect the Asset Management Industry? Evidence from Mutual Fund Flows","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Mutual fund; Affect (linguistics); Finance; Asset (computer security); Index fund; Open-end fund; Institutional investor; Computer science; Computer security; Corporate governance; Psychology","score_opus":0.054386374473985546,"score_gpt":0.2541949415435019,"score_spread":0.19980856706951639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611720002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99319893,0.0005506666,0.00014582656,0.0016837448,0.000011944549,0.000004500731,0.00017790073,0.000006968417,0.0042194966],"genre_scores_gemma":[0.99843866,0.0003225477,0.00004253975,0.000114153096,0.00002953172,0.000002437257,0.00013576949,0.0000030105607,0.00091133895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999286,0.0002711198,0.00005329036,0.00008687229,0.00015056581,0.00015219397],"domain_scores_gemma":[0.9686193,0.012224594,0.014698717,0.001201079,0.0012608405,0.0019955405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002095484,0.0002013268,0.0002934369,0.0011507362,0.00046909365,0.002317471,0.00040049903,0.0013121857,0.0055099456],"category_scores_gemma":[0.025317658,0.00021305303,0.00025771974,0.0009426537,0.00091024424,0.0024473136,0.0010621683,0.0012657088,0.00067096954],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009622426,0.00041051826,0.9615406,0.000044149663,0.00020000452,0.00016317962,0.0009544021,0.00069888774,0.0004993784,0.004914819,0.0014949598,0.028116975],"study_design_scores_gemma":[0.000054248634,0.00018427418,0.9918595,0.000030840594,0.00011085861,0.00007580028,0.0009810136,0.0006281658,0.0003139564,0.0031418358,0.0026061914,0.0000132548785],"about_ca_topic_score_codex":0.0054736547,"about_ca_topic_score_gemma":0.005450262,"teacher_disagreement_score":0.0055099456,"about_ca_system_score_codex":0.00049255404,"about_ca_system_score_gemma":0.0003468921,"threshold_uncertainty_score":0.018432617},"labels":[],"label_agreement":null},{"id":"W2612861740","doi":"10.1016/j.jebo.2019.12.013","title":"Comparing behavioural heterogeneity across asset classes","year":2020,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Asset (computer security); Capital asset pricing model; Endowment; Equity (law); Arbitrage; Non-performing asset; Limits to arbitrage; Financial economics; Asset allocation; Consumption-based capital asset pricing model; Econometrics; Microeconomics; Portfolio; Computer science","score_opus":0.10387841437452187,"score_gpt":0.2724983752321005,"score_spread":0.16861996085757863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612861740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993284,0.00002461918,0.0001505343,0.000018934901,0.000002091822,0.0000031590027,0.000051574913,0.0000013769018,0.0004192685],"genre_scores_gemma":[0.99966013,0.0000082558345,0.000040951534,0.0000105457475,0.0000022319844,0.0000032658486,0.00010321059,0.0000019548754,0.00016935584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988667,0.00054958515,0.000073669,0.00020800522,0.00013354041,0.00016857713],"domain_scores_gemma":[0.9820436,0.013463711,0.0017116389,0.0014083519,0.0005592202,0.00081335293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021146084,0.00017505485,0.0003823309,0.0011547469,0.00034209935,0.0012063989,0.00046555066,0.0007787117,0.007187824],"category_scores_gemma":[0.016541615,0.00018297484,0.00055185234,0.00063258136,0.0005392254,0.00081674586,0.00090459845,0.00055337034,0.00054444437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029507405,0.0007526049,0.9767263,0.000028092634,0.00089890126,0.00007660973,0.0012905062,0.0009595231,0.0041014,0.0011732194,0.00026859393,0.01077345],"study_design_scores_gemma":[0.00006188449,0.00039051307,0.9927898,0.000009066739,0.00018034692,0.00011992518,0.0013737457,0.0024400204,0.0003993124,0.0020301146,0.00018866122,0.00001653974],"about_ca_topic_score_codex":0.0021709495,"about_ca_topic_score_gemma":0.0015822938,"teacher_disagreement_score":0.007187824,"about_ca_system_score_codex":0.00023725856,"about_ca_system_score_gemma":0.00014655617,"threshold_uncertainty_score":0.024045646},"labels":[],"label_agreement":null},{"id":"W2613768823","doi":"10.2469/faj.v74.n1.8","title":"Investing in the Presence of Massive Flows: The Case of MSCI Country Reclassifications","year":2017,"lang":"en","type":"article","venue":"Financial Analysts Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Frontier; Index (typography); Emerging markets; Sample (material); Economics; Business; Financial economics; Econometrics; Finance; Geography; Computer science","score_opus":0.061275291146431834,"score_gpt":0.2638714495605484,"score_spread":0.2025961584141166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613768823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99585503,0.00017602349,0.00035476295,0.00066608953,0.000016745696,0.000013598156,0.00020123344,0.000031189873,0.0026853576],"genre_scores_gemma":[0.99907196,0.000057067587,0.00013224207,0.00007806287,0.000021733744,0.0000048400884,0.00013371276,0.000004195868,0.00049634185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991974,0.00016804376,0.000049737166,0.00014597738,0.0001352961,0.0003035176],"domain_scores_gemma":[0.9868174,0.0031496629,0.007425124,0.00076166436,0.0005147714,0.0013313708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020977396,0.0003872669,0.00052387954,0.00097642525,0.00074543094,0.0020874438,0.00062916824,0.0013271468,0.0037259222],"category_scores_gemma":[0.015632367,0.00016921267,0.00023510399,0.00078871485,0.0007528942,0.0016195254,0.0011408068,0.0017086888,0.00042197958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019834847,0.00070775044,0.8724909,0.000091042595,0.0002197256,0.009474356,0.0015239635,0.015522622,0.002613784,0.014926685,0.014362596,0.06608319],"study_design_scores_gemma":[0.00014525716,0.0007731995,0.88783777,0.00013055508,0.0002077453,0.0032481838,0.0059299576,0.061451975,0.0040870295,0.021928942,0.014105841,0.00015359107],"about_ca_topic_score_codex":0.004423483,"about_ca_topic_score_gemma":0.004689421,"teacher_disagreement_score":0.004423483,"about_ca_system_score_codex":0.0007042013,"about_ca_system_score_gemma":0.00031303338,"threshold_uncertainty_score":0.012464404},"labels":[],"label_agreement":null},{"id":"W2614088860","doi":"10.1111/1911-3846.12410","title":"Exchange‐Sponsored Analyst Coverage","year":2018,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Business; Market liquidity; Accounting; Stock (firearms); Scheme (mathematics); Finance; Engineering; Mathematics","score_opus":0.12102321373462024,"score_gpt":0.3167627398330273,"score_spread":0.19573952609840703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614088860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.947782,0.0006989675,0.0019312109,0.0010994232,0.00015359711,0.00035353977,0.0041201403,0.00028394963,0.043577302],"genre_scores_gemma":[0.9919551,0.000118715114,0.00066818215,0.00012710826,0.00016023034,0.000062360115,0.0015100377,0.000012652129,0.005385718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952519,0.0016775192,0.0002777736,0.00031453607,0.0020465448,0.0004317231],"domain_scores_gemma":[0.9312084,0.021522067,0.029821072,0.006468334,0.006556781,0.004423498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004702575,0.0002270137,0.00018747913,0.001549472,0.0004395403,0.0011940184,0.00068408105,0.0005333745,0.009122258],"category_scores_gemma":[0.036812894,0.0001266736,0.00017961494,0.0012833782,0.00025690478,0.00065309374,0.0012053715,0.00050549966,0.0013295619],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013019951,0.00068521523,0.6953813,0.00036163308,0.00027931252,0.00062174245,0.0019077025,0.003281254,0.0059237015,0.0062974817,0.047062747,0.23689601],"study_design_scores_gemma":[0.0002487017,0.0012562937,0.9246777,0.00010504563,0.00011543851,0.00075564976,0.0009888129,0.005596517,0.0055879783,0.0012488642,0.059378702,0.000040358624],"about_ca_topic_score_codex":0.0036588903,"about_ca_topic_score_gemma":0.00611683,"teacher_disagreement_score":0.009122258,"about_ca_system_score_codex":0.00054161035,"about_ca_system_score_gemma":0.0010721162,"threshold_uncertainty_score":0.030516982},"labels":[],"label_agreement":null},{"id":"W2614474568","doi":"10.5539/ijef.v9n6p124","title":"Performance Analysis of Portfolio Optimisation Strategies: Evidence from the Exchange Market","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Sharpe ratio; Econometrics; Portfolio optimization; Rate of return on a portfolio; Value at risk; Economics; Bootstrapping (finance); Post-modern portfolio theory; Market portfolio; Computer science; Mathematics; Financial economics; Risk management; Replicating portfolio","score_opus":0.04881715964988781,"score_gpt":0.25238995268593273,"score_spread":0.20357279303604492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614474568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95475674,0.006394147,0.024822764,0.00079657685,0.000035575944,0.00008607215,0.00016215171,0.0000920093,0.012853984],"genre_scores_gemma":[0.996024,0.001044534,0.002102748,0.0000318739,0.000023600198,0.000015387259,0.000086968415,0.000011788688,0.0006590709],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984475,0.00087435514,0.0001017474,0.00015184323,0.0003150895,0.000109555745],"domain_scores_gemma":[0.98383117,0.012337522,0.0019351435,0.00076789485,0.0008158882,0.00031237947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064006024,0.0006994088,0.00086765894,0.0012230893,0.0002912273,0.0017623008,0.00051381346,0.0010508467,0.0022334813],"category_scores_gemma":[0.024219653,0.00016253418,0.00052812084,0.0010222353,0.0007183757,0.0026434625,0.00081722817,0.0009808103,0.00026239138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002135998,0.0011623204,0.053762898,0.0006142007,0.00091541396,0.00040599363,0.00037919648,0.71168786,0.0021924882,0.06996093,0.002828247,0.15395454],"study_design_scores_gemma":[0.00028587584,0.0021264912,0.03349975,0.00010917135,0.00025896923,0.00023429029,0.00035999675,0.90718657,0.0023084306,0.05090873,0.0026540153,0.00006767035],"about_ca_topic_score_codex":0.0014832456,"about_ca_topic_score_gemma":0.00054522755,"teacher_disagreement_score":0.0064006024,"about_ca_system_score_codex":0.0006102389,"about_ca_system_score_gemma":0.0004940802,"threshold_uncertainty_score":0.033850014},"labels":[],"label_agreement":null},{"id":"W2615601064","doi":"10.2139/ssrn.302003","title":"The Effect of Index Option Initiation on Volatility in the Presence of Heterogenous Beliefs and Short Sale Constraint","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Index (typography); Volatility (finance); Constraint (computer-aided design); Econometrics; Economics; Financial economics; Mathematics; Computer science","score_opus":0.016606559016621114,"score_gpt":0.2128750254206692,"score_spread":0.19626846640404808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615601064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99857783,0.000058295638,0.00027966435,0.000110193454,0.0000064834057,0.0000038065807,0.000059898863,0.000013491975,0.00089034304],"genre_scores_gemma":[0.99970204,0.00001789615,0.00005672018,0.000008643142,0.000006819854,0.0000013077185,0.000037501584,0.0000034678615,0.00016558456],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992893,0.00024600484,0.000050237682,0.0000997033,0.00005856941,0.00025610527],"domain_scores_gemma":[0.8753808,0.109547555,0.007125504,0.002112657,0.0009869431,0.0048464793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032338155,0.0003143145,0.00074786367,0.00038765883,0.0003865829,0.0023652248,0.000709332,0.0013325162,0.008168463],"category_scores_gemma":[0.033812158,0.00036090214,0.00045109427,0.0003443732,0.00087312516,0.0013116391,0.000787717,0.0024474766,0.00033704855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.06276989,0.0069174673,0.6383041,0.0004427899,0.0010789918,0.004895139,0.0013262234,0.12243834,0.09584354,0.022074081,0.0031366795,0.040772732],"study_design_scores_gemma":[0.0012315761,0.004444188,0.6091657,0.000048471644,0.0011596353,0.0007480489,0.0015540916,0.34515807,0.019906487,0.015818417,0.00057242543,0.00019284063],"about_ca_topic_score_codex":0.0027234356,"about_ca_topic_score_gemma":0.0021105323,"teacher_disagreement_score":0.008168463,"about_ca_system_score_codex":0.00046746747,"about_ca_system_score_gemma":0.00064965116,"threshold_uncertainty_score":0.027326226},"labels":[],"label_agreement":null},{"id":"W2617776177","doi":"10.1111/1911-3846.12315","title":"Discussion of “Aggregate Margin Debt and the Divergence of Price from Accounting Fundamentals”","year":2017,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); Economics; Debt; Aggregate (composite); Spurious relationship; Stock price; Monetary economics; Stock (firearms); Bankruptcy; Aggregate data; Econometrics; Financial economics; Macroeconomics; Finance","score_opus":0.08607734244226853,"score_gpt":0.3021445981170329,"score_spread":0.2160672556747644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617776177","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11616691,0.04420312,0.05067001,0.7063178,0.0053656544,0.00006842517,0.0014015172,0.00016534519,0.07564117],"genre_scores_gemma":[0.9369246,0.010127679,0.0045039994,0.032796543,0.007861009,0.00006633513,0.00026308413,0.000054465552,0.007402408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773765,0.0011770199,0.00013237326,0.0003909233,0.0004454528,0.00011662897],"domain_scores_gemma":[0.9788127,0.015631458,0.0026157699,0.00079055765,0.0016828757,0.00046650573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046820533,0.00041602584,0.0008817448,0.0019574063,0.0017920451,0.005274192,0.0018011677,0.003274934,0.014060969],"category_scores_gemma":[0.019422177,0.00019078716,0.00078329694,0.0030897963,0.004385094,0.005597145,0.002155413,0.003584442,0.0007863029],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120404366,0.000091230824,0.01644759,0.00028075703,0.00014180648,0.00054601737,0.002176695,0.0016870736,0.0006364773,0.9029929,0.047717173,0.02716188],"study_design_scores_gemma":[0.000049359296,0.00011672948,0.025967462,0.0010881682,0.00014305433,0.00036176405,0.004706736,0.005502703,0.0014346688,0.8203835,0.14015792,0.000087911605],"about_ca_topic_score_codex":0.004058322,"about_ca_topic_score_gemma":0.0020709874,"teacher_disagreement_score":0.014060969,"about_ca_system_score_codex":0.0015650823,"about_ca_system_score_gemma":0.0012843901,"threshold_uncertainty_score":0.047038615},"labels":[],"label_agreement":null},{"id":"W2617871079","doi":"","title":"Industry Affects Do Not Explain Momentum in Canadian Stock Returns","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Publication; Stock (firearms); Scopus; Financial economics; Economics; Momentum (technical analysis); Index (typography); Business; Monetary economics; Econometrics; World Wide Web; Computer science; Advertising; Political science; History; Law; MEDLINE","score_opus":0.2806569075426594,"score_gpt":0.4747962986467523,"score_spread":0.19413939110409295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617871079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93888354,0.0023850722,0.00057562144,0.0056904466,0.00026058315,0.000051074832,0.0044310014,0.000116273004,0.04760653],"genre_scores_gemma":[0.99128824,0.00031381808,0.000099860656,0.0002231975,0.000048189304,0.0000054098773,0.0007446983,0.000030122696,0.0072464487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983656,0.00008204767,0.00007774031,0.00025060895,0.00054052245,0.00068346626],"domain_scores_gemma":[0.98806095,0.0021901766,0.0027061803,0.0010080796,0.0035905829,0.0024440016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018602349,0.0007393094,0.00054673356,0.0022335504,0.0030609567,0.0042928667,0.0018838277,0.0020714565,0.019245435],"category_scores_gemma":[0.016538722,0.0005282953,0.0015565582,0.0026355027,0.0011651175,0.0019097441,0.0014335663,0.0016613827,0.0017283108],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027429912,0.00007256816,0.9736215,0.000038575334,0.0002734839,0.00026830603,0.00065761287,0.00088240986,0.00046621554,0.0024902644,0.0071549234,0.013799869],"study_design_scores_gemma":[0.000020984506,0.000018766668,0.9923225,0.00003860547,0.00016732755,0.000051387018,0.0007247478,0.001217738,0.00013596682,0.00093428005,0.004342283,0.000025403338],"about_ca_topic_score_codex":0.9699434,"about_ca_topic_score_gemma":0.98212427,"teacher_disagreement_score":0.030056596,"about_ca_system_score_codex":0.015238164,"about_ca_system_score_gemma":0.025952095,"threshold_uncertainty_score":0.11056113},"labels":[],"label_agreement":null},{"id":"W2619415170","doi":"10.24148/wp2017-11","title":"The TIPS Liquidity Premium","year":2017,"lang":"en","type":"article","venue":"Federal Reserve Bank of San Francisco, Working Paper Series","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Liquidity premium; Treasury; Economics; Inflation (cosmology); Liquidity risk; Monetary economics; Risk premium; Arbitrage; Fixed income; Econometrics; Liquidity crisis; Financial economics; Business; Finance; Bond","score_opus":0.047725392283358745,"score_gpt":0.24091514059738725,"score_spread":0.19318974831402852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619415170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6666858,0.0030687274,0.18528254,0.010174109,0.00031448813,0.00011037987,0.0031412758,0.0017281878,0.12949446],"genre_scores_gemma":[0.99324846,0.00026666877,0.0013577079,0.00012093601,0.000101031656,0.000014039536,0.00021519038,0.000025600064,0.004650462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997358,0.00003814007,0.000013877564,0.00005476605,0.00008880171,0.00006871914],"domain_scores_gemma":[0.9987374,0.0005052699,0.00040302234,0.00009538909,0.00012762571,0.00013133837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045894066,0.00029224728,0.00030433288,0.0004696106,0.00021985924,0.0015853251,0.0006303765,0.0011402974,0.009391663],"category_scores_gemma":[0.0062757577,0.00019363662,0.00030579057,0.00037075047,0.00042616072,0.002200068,0.00088458566,0.0012970973,0.0008662938],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020560101,0.00013286783,0.040200662,0.00017994203,0.000095688876,0.001436076,0.00046490607,0.1691281,0.009042529,0.6812124,0.02117877,0.07672244],"study_design_scores_gemma":[0.000101905964,0.0001572569,0.030745864,0.000107614855,0.00007663826,0.0011485434,0.00018958296,0.4262695,0.0028348833,0.51980627,0.01846194,0.000099968674],"about_ca_topic_score_codex":0.0014247918,"about_ca_topic_score_gemma":0.0006127464,"teacher_disagreement_score":0.009391663,"about_ca_system_score_codex":0.00062644994,"about_ca_system_score_gemma":0.0004701947,"threshold_uncertainty_score":0.031418264},"labels":[],"label_agreement":null},{"id":"W2619666221","doi":"10.2139/ssrn.2149088","title":"Deception and Managerial Structure: A Joint Study of Portfolio Pumping and Window Dressing Practices","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Western University","funders":"","keywords":"Deception; Joint (building); Window (computing); Portfolio; Business; Psychology; Social psychology; Computer science; Engineering; Finance; Structural engineering","score_opus":0.031183988487752064,"score_gpt":0.2432204066741965,"score_spread":0.21203641818644445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619666221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784067,0.00072272535,0.012326316,0.0010162662,0.000015616555,0.000033006876,0.00002937104,0.000022640275,0.0074273245],"genre_scores_gemma":[0.9981452,0.0001257774,0.0008792111,0.000029008255,0.000014340776,0.000007195559,0.000008057422,0.0000047197236,0.00078636745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978806,0.0010134724,0.00013419165,0.00019805705,0.00047139794,0.00030229113],"domain_scores_gemma":[0.9041566,0.06391247,0.022593202,0.005362455,0.00217158,0.0018035972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063434737,0.00023404296,0.0005135329,0.00083002803,0.000837072,0.003715178,0.001041759,0.001809795,0.0036911306],"category_scores_gemma":[0.07527634,0.00037123324,0.00035684457,0.00095657364,0.0018498808,0.0054055257,0.0015252067,0.0022803727,0.00030019705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002362706,0.0016888453,0.44579124,0.00030302987,0.0004084765,0.0018962952,0.01115729,0.043389928,0.012062111,0.26750296,0.0022668212,0.21117033],"study_design_scores_gemma":[0.00016665245,0.0015491022,0.46892408,0.00023485026,0.00025627433,0.0014185053,0.0071802866,0.22936864,0.0042713895,0.28150755,0.004934513,0.00018812332],"about_ca_topic_score_codex":0.001385414,"about_ca_topic_score_gemma":0.0014431698,"teacher_disagreement_score":0.0063434737,"about_ca_system_score_codex":0.0009789197,"about_ca_system_score_gemma":0.00093565497,"threshold_uncertainty_score":0.03354788},"labels":[],"label_agreement":null},{"id":"W2620168635","doi":"10.5430/afr.v6n2p198","title":"Impact of Demographics and Perceptions of Investors on Investment Avenues","year":2017,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Demographics; Equity (law); Perception; Test (biology); Investment management; Logistic regression; Business; Behavioral economics; Investment decisions; Finance; Marketing; Actuarial science; Economics; Psychology; Sociology; Political science","score_opus":0.08701414212766476,"score_gpt":0.3477889502781077,"score_spread":0.26077480815044296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620168635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953354,0.0001566378,0.00015407689,0.00026415757,0.000012710714,0.000010205458,0.000117107025,0.0000023917096,0.0039472478],"genre_scores_gemma":[0.9989478,0.00009078527,0.00005972633,0.000025857324,0.000009043059,0.000004203469,0.00006185158,9.422599e-7,0.0007997398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898046,0.00043675193,0.00007053643,0.00008277937,0.00028045377,0.00014898168],"domain_scores_gemma":[0.9912281,0.0036275024,0.0031143231,0.00023446044,0.0005628932,0.0012326846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011024248,0.00014799362,0.0001615609,0.00041983658,0.00027331407,0.0010042149,0.0001427993,0.00032559753,0.006585884],"category_scores_gemma":[0.008451163,0.00008611431,0.00034965904,0.00034758166,0.00025571004,0.0006620018,0.0003625111,0.0006078647,0.00053323316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011549358,0.00019516412,0.9892664,0.000015673377,0.000039650826,0.00019258085,0.00068006513,0.00013439196,0.00025867915,0.00022441111,0.00027340057,0.008604169],"study_design_scores_gemma":[0.0000026614723,0.00015810008,0.9956084,0.000014715628,0.000023726923,0.00015608361,0.002418275,0.00036685003,0.00016267503,0.0001882559,0.00089073816,0.000009546638],"about_ca_topic_score_codex":0.002041522,"about_ca_topic_score_gemma":0.0027962269,"teacher_disagreement_score":0.006585884,"about_ca_system_score_codex":0.00030181618,"about_ca_system_score_gemma":0.00030956103,"threshold_uncertainty_score":0.022032022},"labels":[],"label_agreement":null},{"id":"W2620731141","doi":"10.5539/ijef.v9n7p1","title":"The Leveraged ETF Inefficiency in Trending &amp; Range-Bound Markets: An Application Case Study for a 3x Leveraged Gold Miners ETF","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Position (finance); Inefficiency; Profit (economics); Anomaly (physics); Trading strategy; Economics; Financial economics; Econometrics; Business; Microeconomics; Finance","score_opus":0.054428034827094435,"score_gpt":0.28822743710810816,"score_spread":0.23379940228101373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620731141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97354215,0.00016448015,0.016347565,0.00029058495,0.00002157969,0.0000837648,0.00022797468,0.0003609277,0.008960884],"genre_scores_gemma":[0.9899805,0.00006016755,0.007017793,0.000034620185,0.000010349423,0.000017376244,0.00012455015,0.0000416237,0.0027129264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993216,0.00012299085,0.000041422,0.00011932716,0.0002864173,0.00010831074],"domain_scores_gemma":[0.9985215,0.00074223866,0.00015835353,0.00025339093,0.00017127585,0.00015326678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013649656,0.00039676216,0.00054891384,0.00076358404,0.00077673956,0.0014044959,0.001032865,0.0015692201,0.00406197],"category_scores_gemma":[0.0038866578,0.00017096518,0.0005614196,0.00087678793,0.00096256466,0.0017468659,0.0013475348,0.0008572976,0.0005402927],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026152767,0.001991517,0.16984357,0.0004364564,0.00034460652,0.041605946,0.0032148273,0.42530817,0.039517473,0.07071578,0.00862502,0.23578143],"study_design_scores_gemma":[0.00023831917,0.0011147284,0.03965516,0.00005119648,0.00007558517,0.0046338197,0.0014108423,0.89657056,0.018993253,0.022616314,0.014533226,0.000107014166],"about_ca_topic_score_codex":0.0050028376,"about_ca_topic_score_gemma":0.0034825653,"teacher_disagreement_score":0.0050028376,"about_ca_system_score_codex":0.0007178611,"about_ca_system_score_gemma":0.0004473436,"threshold_uncertainty_score":0.013588607},"labels":[],"label_agreement":null},{"id":"W2621340176","doi":"10.5539/ijef.v9n7p32","title":"2016 U.S. Presidential Election and Stock Markets in China","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Presidency; Stock (firearms); Stock market; Presidential election; Presidential system; Economics; Censorship; Financial economics; Monetary economics; Political science; Politics; Law; Geography","score_opus":0.015538960048411689,"score_gpt":0.22667217566733688,"score_spread":0.2111332156189252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621340176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928335,0.00021028827,0.0000250538,0.0010058123,0.000044667868,0.000007699936,0.0003320373,0.000004507119,0.0055364976],"genre_scores_gemma":[0.99825877,0.00013302988,0.00000885395,0.000111503956,0.000037631635,0.0000025017644,0.00027975766,0.0000014943149,0.0011666212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996824,0.00003619594,0.000018697865,0.000034946934,0.0000804003,0.0001472736],"domain_scores_gemma":[0.9978387,0.00019630522,0.0010387497,0.00007479054,0.0003290618,0.000522372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076607626,0.00016803636,0.00024067477,0.00073228247,0.0007538519,0.0011867853,0.00019551617,0.00034973287,0.00450081],"category_scores_gemma":[0.002510164,0.00010209403,0.00021484288,0.0011000868,0.00047273975,0.000592475,0.00073045463,0.0005274578,0.00042491822],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001089413,0.00006226919,0.98469096,0.000020118892,0.00004133983,0.00019502048,0.0005237602,0.00042662816,0.00027852049,0.0013440176,0.00395258,0.008355882],"study_design_scores_gemma":[0.000006114516,0.000029152483,0.99665326,0.000007386249,0.000010769192,0.000022755738,0.00050559506,0.00044891413,0.00009543192,0.00012647643,0.0020876646,0.000006603385],"about_ca_topic_score_codex":0.06263907,"about_ca_topic_score_gemma":0.11057105,"teacher_disagreement_score":0.06263907,"about_ca_system_score_codex":0.0010933871,"about_ca_system_score_gemma":0.0014310934,"threshold_uncertainty_score":0.12454891},"labels":[],"label_agreement":null},{"id":"W2622442305","doi":"10.2139/ssrn.2978811","title":"Managerial Structure and Performance-Induced Trading","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Western University","funders":"","keywords":"Business; Monetary economics; Industrial organization; Economics","score_opus":0.01967004806589134,"score_gpt":0.2135033289518147,"score_spread":0.19383328088592336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622442305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98795694,0.000045463497,0.0017457925,0.00018312287,0.000008012625,0.0000109932935,0.000024784074,0.00001612478,0.010008792],"genre_scores_gemma":[0.99905604,0.0000071198133,0.00014482916,0.000010846608,0.0000047119315,0.0000017309993,0.000008577036,0.0000016385177,0.00076443807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959546,0.0001278548,0.000019523204,0.000044230303,0.00009078904,0.00012215674],"domain_scores_gemma":[0.9954934,0.0017842016,0.0012401218,0.00041112746,0.00031753018,0.0007535738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088352856,0.00014228716,0.00020589313,0.0002664446,0.00033898267,0.0016702145,0.0002728418,0.00056781905,0.006338822],"category_scores_gemma":[0.0070500458,0.00013068528,0.00011128722,0.0001901613,0.00052031415,0.0006510315,0.00054906326,0.00045297708,0.0004808274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005509923,0.0056396164,0.38845578,0.0002934138,0.0003216465,0.0018079949,0.0027844657,0.047702536,0.14673392,0.24919844,0.004555271,0.146997],"study_design_scores_gemma":[0.00038699905,0.0019239152,0.736123,0.000028866241,0.000086289125,0.00036687838,0.0014796101,0.08105173,0.0084273415,0.16771896,0.0023556617,0.000050644012],"about_ca_topic_score_codex":0.0004139756,"about_ca_topic_score_gemma":0.0008746902,"teacher_disagreement_score":0.006338822,"about_ca_system_score_codex":0.00055530603,"about_ca_system_score_gemma":0.00042755666,"threshold_uncertainty_score":0.021205544},"labels":[],"label_agreement":null},{"id":"W2623246339","doi":"10.2139/ssrn.2980497","title":"Examining the Skewness and Kurtosis of Value vs. Glamour Portfolios","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Kurtosis; Skewness; Value (mathematics); Econometrics; Statistics; Mathematics; Economics; Financial economics; Actuarial science","score_opus":0.026685177473169376,"score_gpt":0.21992005638348963,"score_spread":0.19323487891032026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623246339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921793,0.00029550487,0.0037715912,0.00016818951,0.00001136764,0.000007928955,0.00010457127,0.000026501555,0.0034350455],"genre_scores_gemma":[0.999148,0.0000611581,0.00042706498,0.000008893399,0.000008549567,0.0000019958413,0.00008273224,0.000008329119,0.00025325894],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993612,0.00024296832,0.00005048187,0.00007959869,0.00017647703,0.00008927843],"domain_scores_gemma":[0.98139316,0.013553709,0.002208704,0.00087770505,0.0013948799,0.0005718835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032616928,0.0003352932,0.0003060595,0.0017135702,0.00021820066,0.0022978408,0.00032965202,0.0005680058,0.0025034037],"category_scores_gemma":[0.039770413,0.00012431174,0.00027509048,0.0011933924,0.0005196356,0.0027623246,0.00089681457,0.0005777868,0.00046972433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026407314,0.00019690703,0.74699235,0.00013458445,0.0004483984,0.0007575616,0.0011538266,0.049981873,0.0114303,0.054463837,0.0021900376,0.1296096],"study_design_scores_gemma":[0.000120043675,0.0007399468,0.62000626,0.00011455007,0.00021578043,0.0013434686,0.002576407,0.2794625,0.0073366323,0.085758425,0.0022081546,0.00011785965],"about_ca_topic_score_codex":0.0010190391,"about_ca_topic_score_gemma":0.0007413254,"teacher_disagreement_score":0.0032616928,"about_ca_system_score_codex":0.00047607254,"about_ca_system_score_gemma":0.0003016148,"threshold_uncertainty_score":0.017249703},"labels":[],"label_agreement":null},{"id":"W2625352503","doi":"","title":"Case Study: Disrupting Wall Street - High Frequency Trading","year":2014,"lang":"en","type":"article","venue":"ResearchSpace (University of Auckland)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; High-frequency trading; Finance","score_opus":0.05055154714889666,"score_gpt":0.23595019272691029,"score_spread":0.1853986455780136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625352503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8715656,0.0016947902,0.007816887,0.014409461,0.0002781041,0.0002898258,0.00038321203,0.00021388479,0.10334818],"genre_scores_gemma":[0.97910815,0.00082279294,0.0023033803,0.00129552,0.00010352147,0.00008113329,0.00015419976,0.000045374312,0.01608581],"study_design_codex":"case_report","study_design_gemma":"qualitative","domain_scores_codex":[0.9976063,0.0009219791,0.00010937622,0.00017707872,0.00064437784,0.0005408627],"domain_scores_gemma":[0.9953685,0.0023463545,0.0005421381,0.00033671525,0.00062065595,0.0007855983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014491769,0.0006338626,0.00036587383,0.0016948034,0.0076325894,0.003294207,0.0017380698,0.005690006,0.006912177],"category_scores_gemma":[0.006979493,0.00031330835,0.0004966214,0.0020057333,0.0031900255,0.0037875385,0.0024940348,0.0033362887,0.0013366129],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010381048,0.0030059882,0.10022997,0.00065600325,0.0001578409,0.34751093,0.16125478,0.014859231,0.0042791716,0.15466207,0.104000114,0.10834573],"study_design_scores_gemma":[0.00021970567,0.0014112112,0.044605263,0.0009540263,0.000118369324,0.12194609,0.32986534,0.026161259,0.008009159,0.05278032,0.41368327,0.0002459237],"about_ca_topic_score_codex":0.014537635,"about_ca_topic_score_gemma":0.017099785,"teacher_disagreement_score":0.014537635,"about_ca_system_score_codex":0.002474415,"about_ca_system_score_gemma":0.001285322,"threshold_uncertainty_score":0.028906047},"labels":[],"label_agreement":null},{"id":"W26572457","doi":"","title":"Return predictability and state variables in consumption-based CAPMs: International perspectives","year":2010,"lang":"en","type":"article","venue":"Griffith Research Online (Griffith University, Queensland, Australia)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Predictability; Consumption (sociology); Stock (firearms); Capital asset pricing model; Predictive power; Equity premium puzzle; Econometrics; Financial economics; Consumption-based capital asset pricing model; Monetary economics","score_opus":0.10339122506589722,"score_gpt":0.3203081044702176,"score_spread":0.21691687940432042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W26572457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9201747,0.0070363013,0.025567535,0.009091052,0.0001000726,0.000018046296,0.00063478,0.00020181702,0.037175756],"genre_scores_gemma":[0.99786854,0.0009879326,0.00048638252,0.000050581082,0.0000665764,0.0000025759412,0.00012728774,0.00001065382,0.0003993811],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996984,0.00012929371,0.000019603824,0.000061292485,0.00004893103,0.000042525153],"domain_scores_gemma":[0.99222857,0.005231931,0.0013355598,0.000619054,0.0004608237,0.00012401791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023588021,0.00044704182,0.0005561098,0.0010958846,0.00030790537,0.0033089188,0.00042641576,0.0005701176,0.0023474435],"category_scores_gemma":[0.012173869,0.0002514734,0.00050927757,0.0018415696,0.0011989652,0.0028515186,0.0010838417,0.0016179743,0.00023458898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003078245,0.00015754752,0.4598549,0.00016774349,0.0005188367,0.0010048824,0.00068980193,0.22932109,0.0013999864,0.20827699,0.0032959713,0.09500448],"study_design_scores_gemma":[0.00002413003,0.00016933445,0.19428644,0.00020563485,0.00025120654,0.00034574795,0.00063004065,0.6107534,0.0016922395,0.18687616,0.0046778717,0.00008779553],"about_ca_topic_score_codex":0.006694481,"about_ca_topic_score_gemma":0.0034716786,"teacher_disagreement_score":0.006694481,"about_ca_system_score_codex":0.0005199611,"about_ca_system_score_gemma":0.00041593742,"threshold_uncertainty_score":0.013311088},"labels":[],"label_agreement":null},{"id":"W2680592456","doi":"10.3905/jot.2017.12.3.037","title":"Defeating the VPIN: <i>Slipping into the Noise</i>","year":2017,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Pooling; Order (exchange); Position (finance); Econometrics; Computer science; Actuarial science; Economics; Business; Artificial intelligence; Finance","score_opus":0.04972936271580718,"score_gpt":0.2385333643092729,"score_spread":0.18880400159346572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2680592456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68592274,0.0004731979,0.30721813,0.0007432023,0.00017400352,0.00011373501,0.0002674628,0.00056766154,0.004519918],"genre_scores_gemma":[0.98177767,0.000067073466,0.017575571,0.00008438113,0.000030342748,0.00003290532,0.0001222947,0.00003806403,0.0002718072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996268,0.0017145487,0.00021355157,0.0005530953,0.001026328,0.00022453081],"domain_scores_gemma":[0.9406321,0.044381056,0.006946138,0.005291191,0.0018504026,0.0008991075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008493162,0.00080081436,0.00073006214,0.0010844159,0.00047951614,0.0022329448,0.0012898903,0.0016128608,0.0009781184],"category_scores_gemma":[0.062661014,0.00033059652,0.0004547973,0.0007412681,0.0022410492,0.0026469673,0.0020055424,0.0013980557,0.00021308962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016732351,0.00034705695,0.05631572,0.00029491866,0.0005761067,0.0004316873,0.00051823334,0.78970116,0.01649662,0.05707655,0.002276725,0.07429198],"study_design_scores_gemma":[0.000042098876,0.00048021282,0.0047863023,0.000028780927,0.00003880461,0.00018105767,0.00006519879,0.9633094,0.010759095,0.019824225,0.0004261164,0.000058668084],"about_ca_topic_score_codex":0.0015495317,"about_ca_topic_score_gemma":0.00088448584,"teacher_disagreement_score":0.008493162,"about_ca_system_score_codex":0.00087664346,"about_ca_system_score_gemma":0.0009732062,"threshold_uncertainty_score":0.04491663},"labels":[],"label_agreement":null},{"id":"W2709900414","doi":"10.1016/j.ribaf.2019.101117","title":"Ethical Investing Has No Portfolio Performance Cost","year":2019,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Portfolio; Sharpe ratio; Investment (military); Selection (genetic algorithm); Actuarial science; Portfolio optimization; Economics; Business; Financial economics; Computer science; Law","score_opus":0.12552225565850952,"score_gpt":0.3154563683342258,"score_spread":0.18993411267571628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2709900414","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.119495995,0.0019258893,0.07469679,0.035629835,0.0014445167,0.0002269937,0.00023875921,0.0002647065,0.7660765],"genre_scores_gemma":[0.9181004,0.0005172075,0.0069645643,0.0041781426,0.0007311246,0.00011292932,0.000100417485,0.00006973623,0.069225565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99498403,0.0011862917,0.00030628635,0.00059179176,0.0022352033,0.00069635804],"domain_scores_gemma":[0.9805408,0.007161502,0.002714227,0.004779598,0.0031439827,0.0016599065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004861155,0.00057246885,0.000948751,0.0008600086,0.0010189469,0.0038220172,0.00088613626,0.0044715693,0.022642218],"category_scores_gemma":[0.033477236,0.00032541007,0.000490831,0.00048330287,0.0036209507,0.0034457536,0.0018596301,0.0034541145,0.0023367284],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001474031,0.00027094778,0.0045570494,0.00012289497,0.00010096559,0.0002878061,0.00014644483,0.0018205664,0.00082493306,0.88744473,0.017619332,0.0866569],"study_design_scores_gemma":[0.000102311955,0.00022389648,0.0043170066,0.00010287944,0.000075286654,0.0014055804,0.00024541185,0.0039588674,0.0008674358,0.9519905,0.03667721,0.000033614706],"about_ca_topic_score_codex":0.0003821214,"about_ca_topic_score_gemma":0.00063793344,"teacher_disagreement_score":0.022642218,"about_ca_system_score_codex":0.0012269656,"about_ca_system_score_gemma":0.0015360613,"threshold_uncertainty_score":0.07574576},"labels":[],"label_agreement":null},{"id":"W2724570119","doi":"10.3390/jrfm12020090","title":"Book-To-Market Decomposition, Net Share Issuance, and the Cross Section of Global Stock Returns","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market capitalization; Capitalization; Financial economics; Econometrics; Economics; Stock market; Section (typography); Stock (firearms); Value (mathematics); Business; Geography; Mathematics; Statistics; Advertising","score_opus":0.007202338265861947,"score_gpt":0.22032297077404767,"score_spread":0.21312063250818572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724570119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99426335,0.0003129034,0.0015581056,0.00009013456,0.000008646661,0.000007678473,0.0006027116,0.000033748507,0.0031226173],"genre_scores_gemma":[0.9982121,0.000118581185,0.00018929261,0.000012346559,0.000014372009,0.000002702077,0.00091806334,0.0000107124115,0.00052182295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967635,0.00008196437,0.000026893911,0.00009158771,0.0000663693,0.000056791734],"domain_scores_gemma":[0.99108523,0.0033748571,0.0038527085,0.00077307737,0.00044741563,0.0004666815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016965672,0.0003574779,0.000316287,0.001514684,0.00015199013,0.0014553714,0.0002732182,0.00031508465,0.0029159635],"category_scores_gemma":[0.00707666,0.00017399763,0.0006108138,0.001846742,0.0004201853,0.001446062,0.0006431463,0.0005587256,0.000750664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000701633,0.000026789454,0.9894209,0.000017558199,0.00019567434,0.000076942924,0.000092442,0.0027719934,0.0005485586,0.0008127413,0.00020136019,0.0057648155],"study_design_scores_gemma":[0.0000024644924,0.000038960738,0.99425066,0.0000047742633,0.00003775441,0.000086444365,0.000060974588,0.0041056294,0.0003017553,0.0007693138,0.00033485817,0.000006554585],"about_ca_topic_score_codex":0.0029877324,"about_ca_topic_score_gemma":0.0032353941,"teacher_disagreement_score":0.0029877324,"about_ca_system_score_codex":0.00030591246,"about_ca_system_score_gemma":0.00016274245,"threshold_uncertainty_score":0.009754837},"labels":[],"label_agreement":null},{"id":"W2728846567","doi":"","title":"Linkages among selected Western and Asian stock markets / Noraini Aminudin","year":2011,"lang":"en","type":"article","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Equity (law); Market capitalization; Business; Emerging markets; International market; Diversification (marketing strategy); Stock market; Interdependence; China; Stock exchange; Geography; International trade; Finance; Political science","score_opus":0.03281132757938828,"score_gpt":0.19238965084066575,"score_spread":0.15957832326127747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2728846567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846602,0.00064735493,0.00019720987,0.00013707347,0.000007430969,0.0000103319635,0.0003795942,0.000006930747,0.013953888],"genre_scores_gemma":[0.99526453,0.000643912,0.00025229453,0.000028786775,0.000011382085,0.000008523666,0.00052792823,0.000002687065,0.003259957],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998822,0.000019848869,0.000014834816,0.000025234007,0.000032733773,0.00002516892],"domain_scores_gemma":[0.9994542,0.00007624037,0.0002861162,0.000025283507,0.00010452973,0.000053750366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039414514,0.00020162994,0.00016788037,0.0016154558,0.0004012132,0.0013417578,0.00015173179,0.000107287146,0.004418422],"category_scores_gemma":[0.00083244866,0.00007608782,0.0001735468,0.0033128937,0.00017831041,0.0008776639,0.0005513245,0.0001668167,0.00044881995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008961265,0.00007305119,0.94268256,0.00006075344,0.00012644523,0.0006571229,0.0014003387,0.00054363586,0.0007354564,0.00412254,0.0011424574,0.04836605],"study_design_scores_gemma":[0.0000068434097,0.000040143776,0.98412466,0.000047352336,0.00007419725,0.00030299294,0.0027733909,0.0022747987,0.000576688,0.001245961,0.008525116,0.000007972157],"about_ca_topic_score_codex":0.010059983,"about_ca_topic_score_gemma":0.014857353,"teacher_disagreement_score":0.010059983,"about_ca_system_score_codex":0.00042780128,"about_ca_system_score_gemma":0.0004983684,"threshold_uncertainty_score":0.020002842},"labels":[],"label_agreement":null},{"id":"W2729405709","doi":"10.1016/j.irfa.2017.07.006","title":"Under-or-overreaction: Market responses to announcements of earnings surprises","year":2017,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Economics; Robustness (evolution); Monetary economics; Momentum (technical analysis); Excess return; Point (geometry); Earnings surprise; Market efficiency; Post-earnings-announcement drift; Financial economics; Finance; Earnings per share; Mathematics","score_opus":0.052825033693448716,"score_gpt":0.30995839214740994,"score_spread":0.25713335845396124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2729405709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9562314,0.0039645117,0.006428352,0.0073386403,0.0010118996,0.00008423956,0.0007109337,0.0003909004,0.023839049],"genre_scores_gemma":[0.99594975,0.00070661964,0.00039860822,0.0006099599,0.0006016187,0.000015971813,0.00016803067,0.000043269563,0.001506172],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991748,0.00019206805,0.000071500326,0.00013327722,0.0002676269,0.00016079092],"domain_scores_gemma":[0.98211503,0.007192741,0.007567557,0.0007843327,0.0014770429,0.0008633075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025938363,0.0003849495,0.00050093024,0.0006469668,0.0003639511,0.0021470299,0.0005707883,0.0015497959,0.004724204],"category_scores_gemma":[0.03734638,0.0002006394,0.00025518835,0.00053319073,0.00046319704,0.0017709411,0.0011066414,0.0014479927,0.0008958064],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008640015,0.0011049755,0.3577188,0.0011332033,0.0006489556,0.003939196,0.0040373756,0.01604208,0.048364915,0.05130413,0.06532434,0.4417421],"study_design_scores_gemma":[0.0002932226,0.0012572891,0.80477595,0.00022474697,0.000512822,0.0013216365,0.0043212287,0.058049325,0.0077723865,0.08464282,0.03662838,0.0002002547],"about_ca_topic_score_codex":0.001206211,"about_ca_topic_score_gemma":0.0007897425,"teacher_disagreement_score":0.004724204,"about_ca_system_score_codex":0.0004062306,"about_ca_system_score_gemma":0.00033012565,"threshold_uncertainty_score":0.015804052},"labels":[],"label_agreement":null},{"id":"W2730973878","doi":"10.1016/j.iref.2018.01.001","title":"Quantifying the impact of the November 2014 Shanghai-Hong Kong Stock Connect","year":2018,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Market liquidity; Stock (firearms); China; Stock market; Business; Liberalization; Capital market; Economics; Monetary economics; Financial economics; Finance; Market economy; Geography","score_opus":0.06291123436489267,"score_gpt":0.3002161278693559,"score_spread":0.23730489350446327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2730973878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810182,0.0004454425,0.00035876088,0.0022221652,0.00022746941,0.000022889924,0.0038082262,0.00004500921,0.011851797],"genre_scores_gemma":[0.9907566,0.00027825407,0.0001179669,0.00021258742,0.0000758892,0.000011502289,0.00285409,0.000011565459,0.0056816027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964476,0.00004289347,0.000022005837,0.000044235265,0.00013066077,0.0001154445],"domain_scores_gemma":[0.99741614,0.0004016762,0.00074290694,0.00012785962,0.0008302479,0.00048110052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010700173,0.00030540832,0.00032197943,0.00089215516,0.0006659679,0.00258012,0.0003288723,0.00074631657,0.004295883],"category_scores_gemma":[0.0035296166,0.00020912722,0.00026426607,0.0009966196,0.0004497011,0.00084843923,0.0010786046,0.00081007386,0.00065687817],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065010635,0.000173275,0.9168788,0.00009002402,0.00031729313,0.00069440535,0.0004526082,0.01575337,0.00085579645,0.0063809846,0.035707783,0.022045448],"study_design_scores_gemma":[0.000014946319,0.00009317659,0.97691,0.00002649292,0.00009328079,0.000037757236,0.0011641649,0.010056112,0.0008940467,0.0004947437,0.010191709,0.000023532235],"about_ca_topic_score_codex":0.17659104,"about_ca_topic_score_gemma":0.29658055,"teacher_disagreement_score":0.17659104,"about_ca_system_score_codex":0.003502788,"about_ca_system_score_gemma":0.0021311175,"threshold_uncertainty_score":0.3511263},"labels":[],"label_agreement":null},{"id":"W2734412883","doi":"10.5430/afr.v6n3p39","title":"Is Financial Analysis Doomed? The Birth of “Reactive Valuation” Analysis","year":2017,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Equity (law); Arbitrage; Economics; Pre-money valuation; Financial economics; Business; Actuarial science; Finance; Political science","score_opus":0.1115916358601268,"score_gpt":0.34329971377799484,"score_spread":0.23170807791786804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734412883","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027459066,0.1394201,0.20729958,0.50411314,0.0066654524,0.00012648696,0.00042585193,0.000637578,0.11385275],"genre_scores_gemma":[0.75587565,0.07304928,0.092497066,0.047004502,0.019053547,0.00027015942,0.00027872593,0.0007507199,0.011220471],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98492867,0.00749935,0.0007599942,0.002255796,0.0039209723,0.0006352263],"domain_scores_gemma":[0.9326008,0.04883113,0.0028441763,0.007590867,0.0060667545,0.002066246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.033652484,0.000912565,0.0015487876,0.005030339,0.002963471,0.020716334,0.0020637813,0.00768891,0.0042680213],"category_scores_gemma":[0.059313554,0.000910008,0.00081726594,0.0040256507,0.050441995,0.052767217,0.005770477,0.016879134,0.00095808506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003460914,0.000022468595,0.0006921455,0.00015753017,0.000019772384,0.00006537409,0.0014304871,0.0006494483,0.00018111149,0.94675946,0.0067932224,0.043194428],"study_design_scores_gemma":[0.00001173175,0.000024078625,0.0005529025,0.00039335515,0.000008353776,0.000118018696,0.00072759466,0.002073337,0.0001735335,0.9211209,0.07474622,0.000050071434],"about_ca_topic_score_codex":0.0022604268,"about_ca_topic_score_gemma":0.00090540515,"teacher_disagreement_score":0.033652484,"about_ca_system_score_codex":0.0070075137,"about_ca_system_score_gemma":0.0035522068,"threshold_uncertainty_score":0.17797345},"labels":[],"label_agreement":null},{"id":"W2734687955","doi":"10.2139/ssrn.1785506","title":"Do Hedge Funds Have Information Advantages? Evidence from Hedge Fund Stock Holdings","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Alternative beta; Hedge fund; Fund of funds; Open-end fund; Hedge accounting; Global assets under management; Business; Portfolio; Stock (firearms); Returns-based style analysis; Institutional investor; Passive management; Monetary economics; Financial economics; Economics; Finance; Corporate governance; Market liquidity","score_opus":0.0677345050676874,"score_gpt":0.24506603439328511,"score_spread":0.1773315293255977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734687955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99115527,0.0019185643,0.00009881782,0.0009465428,0.000018947254,0.000005055886,0.00027338913,0.000005372291,0.005578082],"genre_scores_gemma":[0.99867743,0.0005877377,0.000058595935,0.00010974622,0.000056606415,0.000001334843,0.00015270605,0.0000016883878,0.0003542376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991574,0.00015537374,0.000091343514,0.00011012028,0.00033234453,0.00015346198],"domain_scores_gemma":[0.9483353,0.02878698,0.016316952,0.0027778847,0.0017500095,0.002032906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029637404,0.00023938494,0.00043597975,0.0013348451,0.0003712189,0.0023314452,0.00056277803,0.0014072788,0.0058581857],"category_scores_gemma":[0.024366822,0.00023396958,0.00037519852,0.0011177033,0.0011035679,0.0027331626,0.0009520144,0.0007616168,0.0005348315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0058813165,0.00065554155,0.91414225,0.00028436485,0.00076413923,0.00096862804,0.00097137975,0.00037041472,0.0028303612,0.0065013566,0.0020116535,0.06461848],"study_design_scores_gemma":[0.00042039662,0.00073391857,0.9826834,0.00008353312,0.0005729402,0.0007188261,0.0012462846,0.0004468463,0.0020854601,0.005427094,0.005552942,0.000028345736],"about_ca_topic_score_codex":0.0022371132,"about_ca_topic_score_gemma":0.0022696208,"teacher_disagreement_score":0.0058581857,"about_ca_system_score_codex":0.00034260424,"about_ca_system_score_gemma":0.00026439308,"threshold_uncertainty_score":0.01959759},"labels":[],"label_agreement":null},{"id":"W2734801138","doi":"10.2139/ssrn.1572152","title":"Divergence of Opinion, Overallotment, and IPO Long-Run Performance","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; York University","funders":"","keywords":"Initial public offering; Divergence (linguistics); Business; Accounting; Financial economics; Political science; Econometrics; Economics; Actuarial science; Linguistics; Philosophy","score_opus":0.011982809308368824,"score_gpt":0.20444688708924122,"score_spread":0.1924640777808724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734801138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915665,0.00014868687,0.00039527167,0.00048479837,0.000024189667,0.000007451883,0.000265897,0.000006122484,0.0071011125],"genre_scores_gemma":[0.99903464,0.00004418416,0.000036717563,0.000041627805,0.000047864763,0.0000026008968,0.00016345982,0.0000021468954,0.00062674744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924433,0.00015595749,0.000063355685,0.00011370889,0.00020134934,0.000221362],"domain_scores_gemma":[0.9719367,0.010506474,0.011600054,0.0006655715,0.0022315283,0.0030596324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028326847,0.0001715282,0.0003445696,0.0007643077,0.00037685194,0.0026934363,0.0003676239,0.0010137995,0.005995841],"category_scores_gemma":[0.021557463,0.000080223144,0.00028136422,0.0008235831,0.00054728077,0.0017199699,0.001058022,0.0014109872,0.0008814164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005819138,0.00018843367,0.975871,0.00004291623,0.00014972025,0.00020376696,0.0009148549,0.0014137068,0.000919169,0.002089119,0.00151452,0.016110826],"study_design_scores_gemma":[0.000017519003,0.0002492396,0.98992634,0.00001966696,0.000056050278,0.00013908927,0.0018172617,0.0034800437,0.0003403824,0.0029472255,0.0009861622,0.000020967082],"about_ca_topic_score_codex":0.001784856,"about_ca_topic_score_gemma":0.0019678466,"teacher_disagreement_score":0.005995841,"about_ca_system_score_codex":0.0005961458,"about_ca_system_score_gemma":0.00023200519,"threshold_uncertainty_score":0.020058095},"labels":[],"label_agreement":null},{"id":"W2735452068","doi":"10.5539/ibr.v10n8p173","title":"Asynchronous Signaling in Global Equity Markets：Based on Opening Times","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Cointegration; Economics; Financial market; Equity capital markets; Capital market; Financial crisis; Monetary economics; Financial economics; Econometrics; Finance; Macroeconomics; Private equity","score_opus":0.12626706846315575,"score_gpt":0.37781525593539544,"score_spread":0.2515481874722397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735452068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99132407,0.00017703297,0.0050431015,0.00026166544,0.000016424787,0.000011495769,0.00014502392,0.00005359258,0.0029676014],"genre_scores_gemma":[0.99927753,0.00005940623,0.00022108854,0.000007764657,0.000015251662,0.0000036484164,0.000065804445,0.0000030752647,0.00034656422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994443,0.00015562198,0.000034548757,0.00012840854,0.0001264022,0.000110722525],"domain_scores_gemma":[0.9878862,0.006902597,0.0036889408,0.0004629239,0.00041554464,0.00064363447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020337899,0.00024835343,0.00047669667,0.0015375123,0.000291621,0.0021282164,0.00041604627,0.000675659,0.004875591],"category_scores_gemma":[0.018158363,0.00027652463,0.00044362698,0.0012386098,0.0008670614,0.002663251,0.0010677237,0.0010079843,0.00034772465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001447148,0.00039769028,0.6456195,0.00021628788,0.00045591325,0.0020783816,0.0023171366,0.08521128,0.018710474,0.14614527,0.0029453624,0.09445551],"study_design_scores_gemma":[0.000097220254,0.0003483059,0.4981092,0.000055912067,0.0002225589,0.00036767128,0.0011354006,0.41022858,0.004065991,0.08225856,0.0029666228,0.0001440061],"about_ca_topic_score_codex":0.0016645249,"about_ca_topic_score_gemma":0.0015217352,"teacher_disagreement_score":0.004875591,"about_ca_system_score_codex":0.0005289622,"about_ca_system_score_gemma":0.00024271649,"threshold_uncertainty_score":0.016310513},"labels":[],"label_agreement":null},{"id":"W2735474741","doi":"10.2139/ssrn.1762376","title":"What Makes Stock Prices Move? Fundamentals vs. Investor Recognition","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Stock (firearms); Financial economics; Economics; Monetary economics; Business; Econometrics; Engineering","score_opus":0.05427347202454518,"score_gpt":0.22004086614728124,"score_spread":0.16576739412273606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735474741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749018,0.0012704957,0.0014229873,0.0052169887,0.0001595444,0.000016299016,0.00018100246,0.000032933487,0.01679781],"genre_scores_gemma":[0.99848527,0.00029619085,0.00016326836,0.00019944072,0.00017963118,0.0000021084031,0.00004171779,0.000006372652,0.000626134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954,0.00007454063,0.000035256737,0.00012391839,0.000096274154,0.00013003737],"domain_scores_gemma":[0.9936474,0.0021306765,0.0029905445,0.00023949398,0.00034409304,0.00064777595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014154952,0.00022056913,0.00046643772,0.0006866339,0.00029014482,0.0031578916,0.00041456977,0.0014317258,0.004764339],"category_scores_gemma":[0.012169356,0.00025155922,0.00029661047,0.0005527884,0.0007603488,0.0028261046,0.00054327236,0.0015530658,0.0008531851],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009708953,0.00040852738,0.82845557,0.00017891923,0.00053682376,0.0011083839,0.0014589634,0.0032952912,0.009045593,0.032089867,0.0061179637,0.11633316],"study_design_scores_gemma":[0.00007964415,0.00030312088,0.9569375,0.00006320603,0.00017442346,0.0004512226,0.0011475234,0.0065823086,0.001830716,0.029168567,0.0032040626,0.000057843798],"about_ca_topic_score_codex":0.0014213889,"about_ca_topic_score_gemma":0.001484873,"teacher_disagreement_score":0.004764339,"about_ca_system_score_codex":0.00048543498,"about_ca_system_score_gemma":0.00031732238,"threshold_uncertainty_score":0.015938342},"labels":[],"label_agreement":null},{"id":"W2735480052","doi":"10.1111/fire.12129","title":"Unconditional Tests of Linear Asset Pricing Models with Time‐Varying Betas","year":2017,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Econometrics; Capital asset pricing model; Constraint (computer-aided design); Economics; Risk premium; Factor analysis; Stochastic discount factor; Mathematics; Covariance; Affine transformation; Statistics","score_opus":0.05706389370284529,"score_gpt":0.26290198977975276,"score_spread":0.20583809607690748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735480052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65948164,0.00081634935,0.32938626,0.0009850571,0.00013094659,0.000087462555,0.0011681583,0.0008999171,0.007044153],"genre_scores_gemma":[0.9892582,0.00019471074,0.008894284,0.00009855873,0.00007754208,0.000054396507,0.00073113875,0.0000456975,0.0006453431],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9820717,0.013156542,0.0007055765,0.0013658972,0.0016792195,0.0010210881],"domain_scores_gemma":[0.7907404,0.17637363,0.015209003,0.010398392,0.005684974,0.0015936638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026796684,0.0011013944,0.001646527,0.0015010328,0.00042115516,0.0025147076,0.0026952596,0.0015082994,0.010031738],"category_scores_gemma":[0.12553714,0.0007876577,0.002080624,0.0020720481,0.0020226962,0.0034099373,0.0024689762,0.0033720264,0.0014222757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016631087,0.0011637252,0.21227424,0.0006871782,0.0037600058,0.0008864729,0.000819021,0.33899152,0.0031146703,0.3022245,0.0071999216,0.12721561],"study_design_scores_gemma":[0.0002103856,0.0008765473,0.06623316,0.0001289944,0.00050940824,0.0002559101,0.00027312257,0.74017787,0.0030135033,0.18626012,0.0019161133,0.00014498722],"about_ca_topic_score_codex":0.0040316815,"about_ca_topic_score_gemma":0.002182161,"teacher_disagreement_score":0.026796684,"about_ca_system_score_codex":0.00095031067,"about_ca_system_score_gemma":0.001373129,"threshold_uncertainty_score":0.14171612},"labels":[],"label_agreement":null},{"id":"W2735650491","doi":"10.5430/ijfr.v8n3p105","title":"Company Size Effect in the Stock Market of Thailand","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market capitalization; Emerging markets; Stock exchange; Capitalization; Stock (firearms); Sri lanka; Business; Stock market; Financial economics; Monetary economics; Point (geometry); Economics; Finance; Mathematics; Geography","score_opus":0.08889499328997366,"score_gpt":0.3606993522592107,"score_spread":0.27180435896923705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735650491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99578935,0.000318187,0.00007826675,0.00020758066,0.00001398943,0.0000053728245,0.00012190684,0.0000038304834,0.0034615556],"genre_scores_gemma":[0.9992762,0.00009268219,0.000017404554,0.000022680408,0.000017684148,0.0000013564539,0.00006868794,0.0000015291452,0.00050174136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936086,0.00015432252,0.000054427128,0.000102937425,0.00022835226,0.0000990421],"domain_scores_gemma":[0.9890414,0.0055500823,0.0033958857,0.00030974415,0.00070855283,0.0009943796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090917334,0.00012413727,0.00017751649,0.0007866421,0.00028464003,0.0011396816,0.00016443159,0.00025013738,0.0046855835],"category_scores_gemma":[0.005125611,0.00006815457,0.0003349817,0.00072294974,0.00047830184,0.00079417625,0.00050619716,0.0005058026,0.0003477086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006377131,0.00012389272,0.98369896,0.00006417522,0.00018956605,0.0016123669,0.0009519817,0.0005801269,0.0012705768,0.0007834657,0.000620406,0.009466723],"study_design_scores_gemma":[0.000007880482,0.0001469575,0.99688643,0.000009456109,0.00006325901,0.00025581373,0.0008186816,0.0007562616,0.00037652676,0.00015924424,0.0005113419,0.000008165229],"about_ca_topic_score_codex":0.0059022214,"about_ca_topic_score_gemma":0.005559217,"teacher_disagreement_score":0.0059022214,"about_ca_system_score_codex":0.00028273434,"about_ca_system_score_gemma":0.00041216682,"threshold_uncertainty_score":0.01567483},"labels":[],"label_agreement":null},{"id":"W2735740858","doi":"10.1007/s11142-017-9433-z","title":"Inside the “black box” of private in-house meetings","year":2018,"lang":"en","type":"article","venue":"Review of Accounting Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":172,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Corporate finance; Insider; Purchasing; Earnings; Insider trading; Business; Public finance; Stock (firearms); Accounting; Stock exchange; Finance; Economics; Marketing; Law; Political science","score_opus":0.045529246643137435,"score_gpt":0.2776830652139733,"score_spread":0.23215381857083586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735740858","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053360295,0.21756198,0.013341858,0.32008082,0.015623731,0.00014313518,0.00080726977,0.00079086603,0.37829],"genre_scores_gemma":[0.69867563,0.103263445,0.004779075,0.051917247,0.023983466,0.00022050932,0.00055482105,0.0005550555,0.11605073],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.992448,0.004746121,0.00019593148,0.00062223215,0.0012030208,0.000784772],"domain_scores_gemma":[0.98222923,0.008349711,0.0027557109,0.0017369487,0.0016721024,0.0032563256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055775153,0.00035786285,0.0005775209,0.0011082798,0.0017891285,0.008901787,0.0011889401,0.0030126597,0.03309798],"category_scores_gemma":[0.021935228,0.00030740764,0.00027829112,0.0023742635,0.0035138319,0.010182299,0.0034995237,0.0031133075,0.0066701225],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028991455,0.00020194893,0.003638223,0.0012039421,0.000103035505,0.00019582186,0.0034455662,0.00036134166,0.0007025178,0.18794926,0.4159928,0.3859157],"study_design_scores_gemma":[0.000036954494,0.00004527414,0.00930744,0.0012952735,0.000022777733,0.00016075955,0.00334687,0.00026726408,0.00022538519,0.047815982,0.9374413,0.00003481095],"about_ca_topic_score_codex":0.0018527446,"about_ca_topic_score_gemma":0.0026675556,"teacher_disagreement_score":0.03309798,"about_ca_system_score_codex":0.001987199,"about_ca_system_score_gemma":0.0034241409,"threshold_uncertainty_score":0.11072379},"labels":[],"label_agreement":null},{"id":"W2736022335","doi":"10.1111/mafi.12023","title":"RISK METRICS AND FINE TUNING OF HIGH‐FREQUENCY  TRADING STRATEGIES","year":2013,"lang":"en","type":"article","venue":"Mathematical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"High-frequency trading; Trading strategy; Proxy (statistics); Momentum (technical analysis); Expected utility hypothesis; Econometrics; Trend following; Algorithmic trading; Economics; Limit (mathematics); Asset (computer security); Order (exchange); Business; Financial economics; Computer science; Finance; Mathematics","score_opus":0.026976795445079704,"score_gpt":0.21106578131723613,"score_spread":0.18408898587215644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736022335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5526324,0.0012248028,0.4391749,0.00036120758,0.000052156473,0.00008564244,0.00008254387,0.00031639615,0.006069959],"genre_scores_gemma":[0.9871968,0.000084302774,0.0123431245,0.000018002858,0.000014628544,0.000018239494,0.000023060287,0.00001587276,0.00028603617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979911,0.000707854,0.0001785097,0.0002756009,0.0006509074,0.00019617872],"domain_scores_gemma":[0.9808003,0.010256033,0.0055430904,0.0015191776,0.0011366402,0.00074486516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045696716,0.0010222513,0.00066816946,0.0013632502,0.00029576532,0.0021461116,0.00074085075,0.00096269575,0.00088518264],"category_scores_gemma":[0.023091458,0.0003179726,0.00039411173,0.00048276022,0.0010282113,0.0029085446,0.0009625019,0.0008752708,0.00014623551],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003232824,0.00021993424,0.022834001,0.00008903613,0.00018679288,0.00022209024,0.00016415982,0.84548205,0.012964617,0.05029495,0.0006083778,0.06661084],"study_design_scores_gemma":[0.000018689503,0.00027938187,0.0064063496,0.000016089678,0.000018861845,0.00013798443,0.0000342578,0.95931906,0.0022768378,0.031090783,0.00036227665,0.00003943692],"about_ca_topic_score_codex":0.00071024755,"about_ca_topic_score_gemma":0.0003899104,"teacher_disagreement_score":0.0045696716,"about_ca_system_score_codex":0.00081649836,"about_ca_system_score_gemma":0.0004990244,"threshold_uncertainty_score":0.024167001},"labels":[],"label_agreement":null},{"id":"W2736996562","doi":"10.1111/fire.12159","title":"Relative Liquidity, Fund Flows and Short‐Term Demand: Evidence from Exchange‐Traded Funds","year":2018,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Market liquidity; Monetary economics; Business; Liquidity risk; Accounting liquidity; Institutional investor; Liquidity crisis; Liquidity premium; Economics; Financial economics; Finance; Corporate governance","score_opus":0.12964779041049987,"score_gpt":0.29248817728249354,"score_spread":0.16284038687199368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736996562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954163,0.0025567485,0.00009530411,0.00022367323,0.0000036235629,0.0000041295652,0.0002702742,0.0000021610326,0.0014277217],"genre_scores_gemma":[0.9979493,0.0013514,0.000046106932,0.00003505253,0.00002295539,0.0000032526568,0.0003207104,0.0000010668199,0.00027011338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996437,0.00014338444,0.00003998614,0.000042484724,0.000085628315,0.00004472422],"domain_scores_gemma":[0.9859898,0.0073431185,0.0051528695,0.00026512798,0.0006261653,0.0006229525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016440613,0.00018848502,0.00045272976,0.001308709,0.00023241299,0.0014474391,0.0002847394,0.00061048847,0.0034372758],"category_scores_gemma":[0.008369382,0.00012270617,0.00027787036,0.0013556831,0.0004362963,0.000812954,0.000563159,0.00041420592,0.0004419848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017566392,0.00038883716,0.9592156,0.0003792884,0.00048596694,0.00058034394,0.0005564868,0.0020381052,0.0012871312,0.002885968,0.0011958812,0.029229656],"study_design_scores_gemma":[0.00020258,0.00045278936,0.98976153,0.000112291855,0.00032491237,0.00034355902,0.00072400336,0.0013663266,0.0006810953,0.0028097446,0.0031921805,0.000029024708],"about_ca_topic_score_codex":0.0027245278,"about_ca_topic_score_gemma":0.0025726343,"teacher_disagreement_score":0.0034372758,"about_ca_system_score_codex":0.00029089875,"about_ca_system_score_gemma":0.0002193862,"threshold_uncertainty_score":0.011498868},"labels":[],"label_agreement":null},{"id":"W2737045872","doi":"10.3905/jpm.2017.43.4.087","title":"The Impact on Stock Returns of Crowding by MutualFunds","year":2017,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Crowding; Market liquidity; Economics; Equity (law); Crowding out; Portfolio; Monetary economics; Stock (firearms); Mutual fund; Financial economics; Financial market; Econometrics; Position (finance); Finance","score_opus":0.030291867909949297,"score_gpt":0.2669902957097417,"score_spread":0.2366984277997924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737045872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977337,0.00019700114,0.00027396035,0.00017228985,0.0000064560795,0.0000032816754,0.00008293412,0.000021831142,0.0015085009],"genre_scores_gemma":[0.99969864,0.00002960965,0.00006424434,0.000007679319,0.000009778828,9.297362e-7,0.000043022294,0.0000016446958,0.00014450483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987503,0.00030715737,0.00008056408,0.00013891632,0.00043557142,0.00028748382],"domain_scores_gemma":[0.9842738,0.0045843,0.00810169,0.00063664524,0.0010390813,0.0013644418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019722288,0.00033309168,0.00030238272,0.0011817681,0.00041691298,0.0015408839,0.0003055883,0.0005682779,0.00150517],"category_scores_gemma":[0.015714496,0.00013312315,0.00033540782,0.0008060141,0.00077985675,0.0014310695,0.0015155575,0.00044603957,0.00017620533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001226082,0.00018274623,0.9152798,0.00006197842,0.00023807,0.0008173354,0.000570447,0.015596158,0.0047947434,0.005361377,0.0021386123,0.053732626],"study_design_scores_gemma":[0.000026566884,0.000461588,0.96914804,0.000030545998,0.00009600252,0.00030033354,0.0007142028,0.020239173,0.0039041592,0.0029235128,0.0021116196,0.000044276472],"about_ca_topic_score_codex":0.0053674057,"about_ca_topic_score_gemma":0.0040231524,"teacher_disagreement_score":0.0053674057,"about_ca_system_score_codex":0.0012569639,"about_ca_system_score_gemma":0.00037610295,"threshold_uncertainty_score":0.010672331},"labels":[],"label_agreement":null},{"id":"W2739637561","doi":"10.15421/191616","title":"Do actively managed funds perform better than index funds? A test in the Canadian market","year":2016,"lang":"en","type":"article","venue":"European Journal of Management Issues","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Passive management; Global assets under management; Fund of funds; Commodity pool; Closed-end fund; Business; Index fund; Finance; Institutional investor; Diversification (marketing strategy); Index (typography); Expense ratio; Open-end fund; Stable value fund; Marketing; Corporate governance; Market liquidity","score_opus":0.030404367110056955,"score_gpt":0.21238305479697878,"score_spread":0.18197868768692183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739637561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95094883,0.0010192916,0.00015139108,0.0038252324,0.00006174512,0.00007858232,0.0017785724,0.00003086265,0.042105425],"genre_scores_gemma":[0.99457127,0.00019535309,0.00009938372,0.00024915035,0.000018070006,0.000009415237,0.00060478126,0.000011573808,0.0042410595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969112,0.00029894826,0.00008980515,0.00032719452,0.001515192,0.0008575633],"domain_scores_gemma":[0.98267865,0.003111754,0.0030119626,0.0010750801,0.006928584,0.0031938911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038523998,0.00042697176,0.0005996744,0.0020332104,0.0037119861,0.004224539,0.0016978314,0.0010100987,0.011724604],"category_scores_gemma":[0.026517007,0.00017048285,0.00063902454,0.0027971286,0.0021651706,0.0031653077,0.0016083928,0.0009973476,0.0009477969],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019799024,0.00073148264,0.87529695,0.00017369611,0.0002325193,0.0004644361,0.0069498,0.0007344415,0.000755184,0.02263651,0.02903707,0.06100799],"study_design_scores_gemma":[0.00011288656,0.00024075118,0.9751536,0.00006697128,0.00009122463,0.00007655119,0.008599698,0.002094448,0.00030405575,0.0010243704,0.012171164,0.00006414477],"about_ca_topic_score_codex":0.96509457,"about_ca_topic_score_gemma":0.96862227,"teacher_disagreement_score":0.034905434,"about_ca_system_score_codex":0.02366706,"about_ca_system_score_gemma":0.02399054,"threshold_uncertainty_score":0.17171735},"labels":[],"label_agreement":null},{"id":"W2740280892","doi":"","title":"A study of mutual fund selection behavior","year":2012,"lang":"es","type":"article","venue":"Actual Problems of Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mutual fund; Asset (computer security); Quarter (Canadian coin); Business; Monetary economics; Target date fund; Economics; Finance; Open-end fund; Geography; Computer science; Institutional investor","score_opus":0.081532950040272,"score_gpt":0.2541080780592477,"score_spread":0.17257512801897568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740280892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904191,0.00020108814,0.00088516425,0.00036264435,0.0000055679857,0.000016965703,0.00017718757,0.000014632927,0.007917693],"genre_scores_gemma":[0.9970284,0.000088731154,0.00028289907,0.000028460863,0.0000109985385,0.000010387597,0.00011268143,0.0000036575207,0.0024337752],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999356,0.0003806522,0.000020302794,0.000061705665,0.0001078278,0.00007363673],"domain_scores_gemma":[0.9849855,0.010002094,0.003003139,0.00060879363,0.00069065206,0.00070985215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001810597,0.00012952741,0.00017057359,0.0009240668,0.00056995655,0.0008808765,0.00026612115,0.00035959826,0.009731168],"category_scores_gemma":[0.020436896,0.00008980702,0.00014923696,0.00093780464,0.000372591,0.0006983881,0.00036705256,0.0003633446,0.00078950066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035531283,0.00026255078,0.90887046,0.000052286086,0.00008031314,0.00032279996,0.003345161,0.0021644006,0.00079277996,0.017881706,0.0042731967,0.06159901],"study_design_scores_gemma":[0.000042838426,0.0003569554,0.93908966,0.00004940986,0.00006797297,0.0010899296,0.0055644787,0.02979376,0.0007838447,0.01089001,0.012240405,0.000030636507],"about_ca_topic_score_codex":0.004539248,"about_ca_topic_score_gemma":0.0026625977,"teacher_disagreement_score":0.009731168,"about_ca_system_score_codex":0.0007996038,"about_ca_system_score_gemma":0.00031717538,"threshold_uncertainty_score":0.03255403},"labels":[],"label_agreement":null},{"id":"W2743472215","doi":"10.3386/w23809","title":"Anomalies Abroad: Beyond Data Mining","year":2017,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Data science; Data mining; Geography; Computer science","score_opus":0.5599967972924318,"score_gpt":0.5088045153105895,"score_spread":0.051192281981842336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743472215","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15014486,0.027520953,0.48425624,0.086372145,0.0039539426,0.0012547581,0.10066584,0.031083489,0.11474788],"genre_scores_gemma":[0.5084497,0.011061709,0.33284733,0.005049318,0.0031926855,0.0006521882,0.12503989,0.0021542348,0.011553017],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9919356,0.002394151,0.0007769572,0.0014082959,0.003166577,0.00031840225],"domain_scores_gemma":[0.9544933,0.023487898,0.0026225166,0.011649001,0.0062829065,0.001464405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010416529,0.0011192685,0.0011710966,0.0071189003,0.0010118965,0.00799168,0.0024079802,0.0016736814,0.004500618],"category_scores_gemma":[0.055388886,0.0005807132,0.0012154944,0.009349652,0.0011975163,0.009152983,0.0046077194,0.0039567677,0.0036561294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029040547,0.00038236624,0.09224208,0.0008064138,0.00035170378,0.0004911478,0.0008706454,0.010002802,0.0013262439,0.061182898,0.18003608,0.6520172],"study_design_scores_gemma":[0.00009559222,0.00021086031,0.04034827,0.0016866951,0.00018485136,0.0009549851,0.002666007,0.13022871,0.0070802276,0.39551485,0.42088416,0.00014477897],"about_ca_topic_score_codex":0.003907469,"about_ca_topic_score_gemma":0.004515632,"teacher_disagreement_score":0.010416529,"about_ca_system_score_codex":0.0010431141,"about_ca_system_score_gemma":0.0030484668,"threshold_uncertainty_score":0.05508852},"labels":[],"label_agreement":null},{"id":"W2744129386","doi":"10.12735/jfe.v5n2p01","title":"Modelling Alpha in a CAPM with Heterogenous Beliefs","year":2017,"lang":"en","type":"article","venue":"Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universität Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Alpha (finance); Capital asset pricing model; Psychology; Economics; Econometrics; Developmental psychology","score_opus":0.0418178486086521,"score_gpt":0.21301937021860756,"score_spread":0.17120152160995547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744129386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.495144,0.00087528303,0.44235158,0.003609434,0.00015674338,0.00012989911,0.00042010858,0.00022254846,0.057090297],"genre_scores_gemma":[0.97408324,0.0002077804,0.015106417,0.00015067784,0.00006533456,0.00008413008,0.000050203653,0.00002791753,0.010224252],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871016,0.0005367146,0.000054357362,0.00023625186,0.00016370213,0.00029880958],"domain_scores_gemma":[0.99161994,0.005581932,0.0013894144,0.0003166197,0.0004911976,0.0006008951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030958124,0.00084048166,0.0011406699,0.0008730107,0.00076210615,0.003597197,0.0014905526,0.0031242825,0.0070511275],"category_scores_gemma":[0.013517523,0.0006298171,0.0011241977,0.00065083546,0.0027690753,0.0032770983,0.0025389085,0.002555222,0.00061242125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016556993,0.00011993999,0.004047975,0.00009685933,0.00007687156,0.0008761217,0.00067760964,0.25142434,0.0017168679,0.7332486,0.0011651394,0.0063841],"study_design_scores_gemma":[0.000053446245,0.00008928625,0.0008041651,0.000028679253,0.000032801658,0.00011267932,0.00017782077,0.78048325,0.00017870666,0.21703526,0.00097369513,0.000030219886],"about_ca_topic_score_codex":0.004884337,"about_ca_topic_score_gemma":0.002950372,"teacher_disagreement_score":0.0070511275,"about_ca_system_score_codex":0.0017368731,"about_ca_system_score_gemma":0.00095006806,"threshold_uncertainty_score":0.023588419},"labels":[],"label_agreement":null},{"id":"W2748147903","doi":"10.2308/acch-51887","title":"SEC Filings, Regulatory Deadlines, and Capital Market Consequences","year":2017,"lang":"en","type":"article","venue":"Accounting Horizons","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Capital market; Equity (law); Valuation (finance); Accounting; Seriousness; Quarter (Canadian coin); Financial statement; Stock (firearms); Monetary economics; Market value; Finance; Audit; Economics","score_opus":0.02320272378316131,"score_gpt":0.22041007274822286,"score_spread":0.19720734896506154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748147903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9177655,0.0028997564,0.0031313098,0.012774177,0.00042559335,0.000060414637,0.000711008,0.00014876343,0.0620834],"genre_scores_gemma":[0.9961194,0.00045105084,0.00032519668,0.0004100718,0.00017852885,0.000008235079,0.00013056929,0.0000128077,0.002364195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971648,0.0006410409,0.00035842133,0.00016833164,0.0012604217,0.00040706067],"domain_scores_gemma":[0.9114241,0.03452015,0.041376706,0.0020836883,0.008588598,0.0020068085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071722385,0.00014844813,0.00017781617,0.0016663602,0.00086911436,0.0029306642,0.00042241145,0.00085228443,0.0039676917],"category_scores_gemma":[0.057481084,0.0001129988,0.00015501888,0.0010096696,0.0009637967,0.0011941622,0.00073420233,0.001651835,0.0004390395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013423361,0.00040315904,0.5649477,0.00039630043,0.00008121215,0.0032789058,0.0047850125,0.008344437,0.0065752054,0.1403855,0.039250385,0.23020984],"study_design_scores_gemma":[0.000071795606,0.0009135639,0.82629794,0.0006694551,0.000101398786,0.0017758226,0.007454511,0.012629806,0.006787768,0.067148045,0.075963266,0.0001866525],"about_ca_topic_score_codex":0.0034853085,"about_ca_topic_score_gemma":0.0043638735,"teacher_disagreement_score":0.0071722385,"about_ca_system_score_codex":0.0014017152,"about_ca_system_score_gemma":0.0015607219,"threshold_uncertainty_score":0.037930906},"labels":[],"label_agreement":null},{"id":"W2748361065","doi":"10.1177/0001839217727706","title":"The Structural Origins of Unearned Status: How Arbitrary Changes in Categories Affect Status Position and Market Impact","year":2017,"lang":"en","type":"article","venue":"Administrative Science Quarterly","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Earnings; Equity (law); Quality (philosophy); Categorical variable; Social status; Affect (linguistics); Economics; Business; Demographic economics; Political science; Sociology; Accounting; Law","score_opus":0.03272235785993313,"score_gpt":0.30017798753363995,"score_spread":0.26745562967370684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748361065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98427343,0.000052205953,0.0013904995,0.00035373567,0.0000074469035,0.000013090992,0.00003640738,0.0000079781685,0.013865356],"genre_scores_gemma":[0.9992461,0.000014122427,0.0003531287,0.000020501035,0.0000040980603,0.000004173053,0.000019360923,0.0000040132854,0.00033464306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843985,0.0006385576,0.00007540292,0.00020491946,0.00042941063,0.00021177281],"domain_scores_gemma":[0.9758184,0.0109034,0.0067006685,0.0022757137,0.0018700114,0.002431755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023678907,0.00014495813,0.00016419376,0.0009521736,0.00086851127,0.0037907122,0.00052511186,0.00063887227,0.0062278523],"category_scores_gemma":[0.031230023,0.00018638493,0.00019812601,0.00067025056,0.0028508746,0.0027806368,0.0017656058,0.0010813031,0.00036794593],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006943338,0.00055463857,0.88186514,0.00006653918,0.00010956726,0.00030083235,0.013469682,0.0018839629,0.014324452,0.035146922,0.0005469666,0.05103702],"study_design_scores_gemma":[0.00002969977,0.00023465534,0.96211493,0.000028470558,0.00003413269,0.00009797051,0.005774467,0.0029310791,0.0014161065,0.02553037,0.0017772333,0.000030863295],"about_ca_topic_score_codex":0.0038998278,"about_ca_topic_score_gemma":0.006379431,"teacher_disagreement_score":0.0062278523,"about_ca_system_score_codex":0.0011637803,"about_ca_system_score_gemma":0.0006051317,"threshold_uncertainty_score":0.020834208},"labels":[],"label_agreement":null},{"id":"W2749324118","doi":"10.1093/rapstu/raab012","title":"What Information Drives Asset Prices?","year":2021,"lang":"en","type":"article","venue":"The Review of Asset Pricing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Dividend; Capital asset pricing model; Monetary economics; Consumption (sociology); Dividend payout ratio; Earnings; Econometrics; Financial economics; Dividend yield; Wage; Dividend policy; Inflation (cosmology); Labour economics; Finance","score_opus":0.04623956690963003,"score_gpt":0.28794706526956493,"score_spread":0.2417074983599349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749324118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7912297,0.0135306055,0.104000404,0.034667663,0.0005705411,0.000068834335,0.0018032773,0.0003099151,0.053819034],"genre_scores_gemma":[0.99458283,0.0016700525,0.0014335581,0.0003909426,0.00028121623,0.0000069896887,0.00013516174,0.000016645936,0.0014826299],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99945074,0.00018608676,0.00003248487,0.00014536262,0.00012323432,0.00006212083],"domain_scores_gemma":[0.989626,0.0065460294,0.00216149,0.00043737312,0.0009321412,0.0002970156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013683425,0.000330939,0.0006244298,0.0009975382,0.00029080364,0.0039132414,0.0005547643,0.0014189126,0.006421117],"category_scores_gemma":[0.02274155,0.00035581933,0.00031557557,0.0011063705,0.0011601703,0.00460543,0.0005564465,0.0013409741,0.0009436939],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000492008,0.00030656948,0.16599311,0.0010816508,0.00074307184,0.0012623977,0.001133514,0.0926353,0.007867074,0.5083431,0.023225466,0.19691671],"study_design_scores_gemma":[0.000056227505,0.00009730366,0.05488974,0.0002466086,0.00016052026,0.00038268996,0.00042049572,0.1662674,0.0019812942,0.76699924,0.008419058,0.00007942374],"about_ca_topic_score_codex":0.0019215737,"about_ca_topic_score_gemma":0.00092744816,"teacher_disagreement_score":0.006421117,"about_ca_system_score_codex":0.00084985927,"about_ca_system_score_gemma":0.00043154965,"threshold_uncertainty_score":0.021480799},"labels":[],"label_agreement":null},{"id":"W2751062242","doi":"10.2139/ssrn.3009018","title":"Questioning the Use of 90-Day Treasury Bill as a Risk-Free Asset: Evidence from Canada","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Mount Saint Vincent University; University of New Brunswick","funders":"","keywords":"Treasury; Asset (computer security); Business; Actuarial science; Economics; Law; Political science; Computer science; Computer security","score_opus":0.04870768642572761,"score_gpt":0.22562250825265326,"score_spread":0.17691482182692564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751062242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96373636,0.0024713147,0.00012910402,0.0057702265,0.000034251963,0.000044374603,0.0019387346,0.0000068217328,0.025868822],"genre_scores_gemma":[0.99201983,0.0019280696,0.000113531656,0.0009579577,0.000019396062,0.000009827365,0.0009655843,0.000010763687,0.0039750366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99367356,0.00076348364,0.00029416507,0.0005197338,0.0036530527,0.0010960591],"domain_scores_gemma":[0.94170654,0.016687918,0.011943117,0.0024287102,0.022318246,0.0049154134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005653222,0.0002189313,0.0004187358,0.002055749,0.0042654267,0.0051224288,0.002793771,0.0020623342,0.0045516263],"category_scores_gemma":[0.034860067,0.00034244178,0.00035980044,0.0047506657,0.0038257646,0.0016812634,0.0013038632,0.0020902269,0.0004592941],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048371646,0.00028221446,0.9412522,0.00014979552,0.00014800884,0.0002834098,0.0125117265,0.0003494095,0.00028749977,0.0069803074,0.010762847,0.02650897],"study_design_scores_gemma":[0.00003669577,0.000056381283,0.9668382,0.00017107966,0.00008899406,0.00007881542,0.013603054,0.0003955137,0.0003249771,0.00046430688,0.017887358,0.000054621818],"about_ca_topic_score_codex":0.9949817,"about_ca_topic_score_gemma":0.99615175,"teacher_disagreement_score":0.035705984,"about_ca_system_score_codex":0.035705984,"about_ca_system_score_gemma":0.05958173,"threshold_uncertainty_score":0.25906628},"labels":[],"label_agreement":null},{"id":"W2751634962","doi":"10.5539/ijef.v9n10p40","title":"Hedge Funds and Earnings Momentum","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Hedge fund; Arbitrage; Momentum (technical analysis); Post-earnings-announcement drift; Equity (law); Financial economics; Economics; Econometrics; Monetary economics; Business; Earnings response coefficient; Finance","score_opus":0.02963232480019427,"score_gpt":0.23219371206750375,"score_spread":0.2025613872673095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751634962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723699,0.0019300076,0.0022384773,0.0005583821,0.00003597236,0.000030648604,0.00010384379,0.000024321,0.022708545],"genre_scores_gemma":[0.9982292,0.0003040299,0.00022884319,0.000029909394,0.00003633302,0.0000036019292,0.000035156816,0.0000019358904,0.0011309799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994399,0.00008177924,0.000050452203,0.00006590401,0.00023114427,0.00013089065],"domain_scores_gemma":[0.9960691,0.0013027074,0.0019269261,0.0001191662,0.00036016802,0.00022196672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010171812,0.00022825277,0.00030256726,0.00095688034,0.00039623983,0.0022766567,0.00019772498,0.0009101545,0.001972285],"category_scores_gemma":[0.009198699,0.00009408289,0.00019360764,0.0009676062,0.00047695352,0.0016484909,0.00064554065,0.0004929465,0.00024742648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000841071,0.00029758588,0.71331215,0.00014144107,0.00014792732,0.0014902042,0.0011847568,0.009594229,0.002974829,0.09835368,0.0022469538,0.1694152],"study_design_scores_gemma":[0.00012557895,0.0008349363,0.84367657,0.00020944013,0.00016320925,0.001766912,0.0029232868,0.022980623,0.002798024,0.10009528,0.024343759,0.000082344915],"about_ca_topic_score_codex":0.0022051088,"about_ca_topic_score_gemma":0.001126398,"teacher_disagreement_score":0.0022766567,"about_ca_system_score_codex":0.00070301205,"about_ca_system_score_gemma":0.0006264091,"threshold_uncertainty_score":0.006597936},"labels":[],"label_agreement":null},{"id":"W2752100112","doi":"","title":"Puzzles in international portfolio investment.","year":2002,"lang":"en","type":"article","venue":"Deep Blue (University of Michigan)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Investment (military); Portfolio investment; Investment portfolio; Economics; Business; Computer science; Financial economics; Political science","score_opus":0.02175123214607524,"score_gpt":0.16621726690733152,"score_spread":0.14446603476125627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752100112","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2745236,0.09589858,0.2469302,0.10193194,0.0016175255,0.0001533857,0.0008119541,0.00027033588,0.2778625],"genre_scores_gemma":[0.9318018,0.025473969,0.020640442,0.0022601539,0.0011848257,0.00011462001,0.0004873778,0.000052313168,0.017984526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991917,0.00031982848,0.00006565982,0.00010826176,0.0002390245,0.000075467105],"domain_scores_gemma":[0.99603266,0.0025326167,0.0007678271,0.000317262,0.00021531954,0.00013436178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032702738,0.0006446092,0.00082701654,0.0009515597,0.00074762315,0.0034767718,0.00076755823,0.0022403628,0.006874998],"category_scores_gemma":[0.016513232,0.00030735633,0.0009105309,0.0022662631,0.0019306623,0.007112365,0.0018830308,0.0024625852,0.0006367053],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043880074,0.00003768221,0.0043032635,0.00009259464,0.000053992822,0.00012497624,0.00031807757,0.013172657,0.00015660007,0.92862165,0.0053796824,0.047695],"study_design_scores_gemma":[0.000014305546,0.000018752082,0.0015500966,0.00006548347,0.000012719442,0.000111552414,0.00017645047,0.012218667,0.000068819565,0.97372675,0.012027072,0.000009353201],"about_ca_topic_score_codex":0.0012286367,"about_ca_topic_score_gemma":0.0011300182,"teacher_disagreement_score":0.006874998,"about_ca_system_score_codex":0.0014271376,"about_ca_system_score_gemma":0.0006669584,"threshold_uncertainty_score":0.022999167},"labels":[],"label_agreement":null},{"id":"W2752610870","doi":"10.1111/fima.12328","title":"Are the risk attitudes of professional investors affected by personal catastrophic experiences?","year":2020,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Portfolio; Volatility (finance); Agency (philosophy); Actuarial science; Business; Natural disaster; Basis point; Finance; Financial economics; Economics; Bond; Geography","score_opus":0.026943655727770573,"score_gpt":0.21311822282735088,"score_spread":0.1861745670995803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752610870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99894065,0.000023762806,0.00009399672,0.000113609094,0.0000019316014,0.0000015420305,0.0000130890585,7.9625227e-7,0.0008106943],"genre_scores_gemma":[0.999877,0.000013055578,0.000015177949,0.0000196359,0.0000030754375,6.8492886e-7,0.000007279188,1.8762597e-7,0.00006384812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950504,0.00017733642,0.000026461317,0.00005788045,0.00011085351,0.00012250207],"domain_scores_gemma":[0.9889798,0.002145902,0.007059047,0.00055589026,0.0004147325,0.00084464264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011039749,0.00011002272,0.00014761701,0.00036105854,0.00023749282,0.00092324615,0.00017843286,0.00047775978,0.0015190026],"category_scores_gemma":[0.009102771,0.00008994106,0.00017751817,0.00023329663,0.0008085881,0.00057024177,0.00052184815,0.0004891278,0.00015252628],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014309316,0.00013565863,0.9895964,0.0000084431285,0.000043217336,0.00011287993,0.0013841152,0.00035392834,0.00059245655,0.0003803646,0.00017379603,0.0070756786],"study_design_scores_gemma":[0.0000049144164,0.00011826949,0.9947284,0.0000063586845,0.000015792999,0.00013446932,0.002722843,0.0006314411,0.00037938202,0.00093131256,0.0003175553,0.000009269441],"about_ca_topic_score_codex":0.0015476849,"about_ca_topic_score_gemma":0.0017793679,"teacher_disagreement_score":0.0015476849,"about_ca_system_score_codex":0.00025201103,"about_ca_system_score_gemma":0.00016038715,"threshold_uncertainty_score":0.0058385134},"labels":[],"label_agreement":null},{"id":"W2753096924","doi":"10.2139/ssrn.3016462","title":"Demand for Lotteries: The Choice between Stocks and Options","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Economics; Financial economics; Microeconomics; Actuarial science; Business","score_opus":0.0329556456238421,"score_gpt":0.2537132416905425,"score_spread":0.2207575960667004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753096924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9417097,0.001029163,0.032575183,0.006708055,0.000082362174,0.00008544698,0.0012308426,0.00010671293,0.016472403],"genre_scores_gemma":[0.99308676,0.00031773586,0.001729314,0.0001993963,0.000061995175,0.000030175044,0.0004624035,0.000018683155,0.0040935376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99882334,0.000690064,0.00006852324,0.0001621284,0.000118091724,0.00013781682],"domain_scores_gemma":[0.96147007,0.03325599,0.0017263129,0.0010019366,0.00073525374,0.0018104343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035701052,0.0003994927,0.0010534333,0.00060105865,0.0003768877,0.0035934725,0.0013538788,0.004306872,0.0275556],"category_scores_gemma":[0.0287717,0.00068381673,0.00073661166,0.000664663,0.000965049,0.004303885,0.0007965872,0.0027349228,0.0019779142],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007219293,0.0031471695,0.13056645,0.0009821894,0.0005935439,0.003371547,0.0021883345,0.096864514,0.012877468,0.5998757,0.023015453,0.1192983],"study_design_scores_gemma":[0.00045097392,0.0008853874,0.04488567,0.00010953724,0.00014841264,0.001107466,0.0015153168,0.28954524,0.0012805816,0.6563382,0.003577028,0.00015625544],"about_ca_topic_score_codex":0.0013389807,"about_ca_topic_score_gemma":0.0014653018,"teacher_disagreement_score":0.0275556,"about_ca_system_score_codex":0.00076768367,"about_ca_system_score_gemma":0.0006033714,"threshold_uncertainty_score":0.092182696},"labels":[],"label_agreement":null},{"id":"W2753172903","doi":"10.5539/ijef.v9n10p95","title":"Another Look at Portfolio Turnover and Mutual Fund Performance","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Mutual fund; Modern portfolio theory; Turnover; Portfolio optimization; Business; Economics; Econometrics; Financial economics; Finance; Management","score_opus":0.03571594149351285,"score_gpt":0.2284815061795123,"score_spread":0.19276556468599945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753172903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945998,0.0010209391,0.0003693691,0.00040893213,0.000013619577,0.0000050898757,0.00015283118,0.0000074067566,0.00342198],"genre_scores_gemma":[0.9989784,0.00014265133,0.00009651544,0.000035785684,0.000029920682,0.0000021132762,0.00012351273,0.0000017873007,0.0005894047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929965,0.000255736,0.000060622137,0.00006809745,0.0001938111,0.000122098],"domain_scores_gemma":[0.9859278,0.0050141546,0.006179028,0.00039188686,0.0011362116,0.0013510179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001515354,0.0002276551,0.00029139672,0.0015926765,0.00041265646,0.0010635842,0.00026594033,0.0005056992,0.0035506291],"category_scores_gemma":[0.009650778,0.00006546532,0.00039798705,0.0020059482,0.00031255145,0.00088300335,0.0007196527,0.00094143074,0.00031090647],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008046638,0.00008154707,0.99200165,0.000022868291,0.000098088014,0.000103956096,0.00020541325,0.0002790997,0.00022100448,0.00039635884,0.00018641583,0.0063231653],"study_design_scores_gemma":[0.0000026487128,0.00009695332,0.99789524,0.000020466288,0.00002757152,0.00014545245,0.00023588445,0.0006254138,0.00011270811,0.00029538892,0.0005377355,0.000004630618],"about_ca_topic_score_codex":0.003284297,"about_ca_topic_score_gemma":0.0037456802,"teacher_disagreement_score":0.0035506291,"about_ca_system_score_codex":0.000530441,"about_ca_system_score_gemma":0.00041213774,"threshold_uncertainty_score":0.011878014},"labels":[],"label_agreement":null},{"id":"W2753474776","doi":"10.2139/ssrn.3016549","title":"A Unified Theory of Asset Pricing","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Arbitrage pricing theory; Investment theory; Capital asset pricing model; Consumption-based capital asset pricing model; Financial economics; Economics; Mathematical economics; Business; Econometrics","score_opus":0.025705921573164817,"score_gpt":0.22775881093241526,"score_spread":0.20205288935925045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753474776","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015414813,0.0044462983,0.9149492,0.006920514,0.0006620496,0.00003538372,0.00025389984,0.00019306305,0.057124767],"genre_scores_gemma":[0.7249413,0.009375337,0.20914093,0.0019990313,0.005040687,0.00029230013,0.0005685829,0.0002734547,0.048368387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988354,0.00042216535,0.00006602671,0.00016618581,0.0003828346,0.00012739284],"domain_scores_gemma":[0.9984301,0.0007132283,0.00012605384,0.00029528467,0.00031265704,0.00012261447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002235699,0.0009779055,0.0017566268,0.0019845134,0.0011475311,0.0050761946,0.0026027446,0.003311985,0.00871276],"category_scores_gemma":[0.004905657,0.0007071694,0.0019417439,0.0022039614,0.0032259983,0.009377969,0.0021965087,0.0035952693,0.0016492059],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011997765,0.0000034595753,0.000028430037,0.0000068390586,0.0000028773295,0.000010896856,0.000019955072,0.0016084693,0.000036102207,0.9962838,0.00055660814,0.001441362],"study_design_scores_gemma":[0.0000033480626,0.0000027517992,0.000029217266,0.0000055044984,0.0000022598151,0.00001883712,0.0000068359254,0.014979335,0.000010685403,0.98371327,0.0012247056,0.0000032330745],"about_ca_topic_score_codex":0.0015388005,"about_ca_topic_score_gemma":0.0010722771,"teacher_disagreement_score":0.00871276,"about_ca_system_score_codex":0.0014665758,"about_ca_system_score_gemma":0.0014272837,"threshold_uncertainty_score":0.029147089},"labels":[],"label_agreement":null},{"id":"W2753579435","doi":"10.2139/ssrn.3018549","title":"Hedge Funds and Corporate Misreporting","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Hedge fund; Business; Alternative beta; Global assets under management; Accounting; Hedge; Finance; Corporate governance; Institutional investor","score_opus":0.04788553915909138,"score_gpt":0.23302292796790453,"score_spread":0.18513738880881314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753579435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9697751,0.004938737,0.0046804617,0.009076276,0.0001627604,0.000017103248,0.0002394562,0.000039421124,0.011070542],"genre_scores_gemma":[0.9978079,0.0005165327,0.00021857774,0.00014637354,0.00014805516,0.0000027008489,0.000038661263,0.0000034532395,0.0011176184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786335,0.0010217719,0.00023693293,0.00027803113,0.00031547868,0.00028446378],"domain_scores_gemma":[0.88997746,0.06679527,0.034555417,0.0045931754,0.0028624337,0.0012162859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006663396,0.0001792813,0.0005250283,0.0011908608,0.00039934268,0.0038489318,0.0004617841,0.002121192,0.003976281],"category_scores_gemma":[0.07004281,0.00023870688,0.00027365514,0.0012797919,0.0010615906,0.0023140812,0.000843856,0.0013740819,0.0003084545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001639533,0.00049647153,0.64408934,0.00021680156,0.00043309666,0.0016534324,0.0027357468,0.009796245,0.00074865436,0.19175442,0.011809869,0.13462642],"study_design_scores_gemma":[0.0002539096,0.0004659426,0.34581816,0.00035734667,0.00068966876,0.00293561,0.0052700047,0.04865396,0.0021801149,0.57759094,0.015652994,0.00013136977],"about_ca_topic_score_codex":0.0013124576,"about_ca_topic_score_gemma":0.0009441372,"teacher_disagreement_score":0.006663396,"about_ca_system_score_codex":0.0006695285,"about_ca_system_score_gemma":0.0005484032,"threshold_uncertainty_score":0.035239816},"labels":[],"label_agreement":null},{"id":"W2753910573","doi":"10.5430/afr.v6n4p1","title":"The Effect of Daily Stock Price Limits on the Investment Risk: Evidence from the Egyptian Stock Market","year":2017,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Volatility (finance); Stock (firearms); Cost price; Stock price; Econometrics; Autoregressive conditional heteroskedasticity; Financial economics; Monetary economics","score_opus":0.08893527824631814,"score_gpt":0.31214339962632875,"score_spread":0.22320812138001062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753910573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988152,0.000314151,0.000036585567,0.00010361003,0.0000020926027,0.0000013890625,0.000075345844,0.0000012580781,0.0006503496],"genre_scores_gemma":[0.99949896,0.00021538112,0.00002364203,0.000012839761,0.000007881401,6.981479e-7,0.00011678618,7.7732955e-7,0.00012297257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953973,0.000103037375,0.00006464828,0.00006914937,0.00016246393,0.00006097518],"domain_scores_gemma":[0.991939,0.0030176716,0.0035778417,0.00047527187,0.00061713177,0.00037311204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009782931,0.00017334023,0.00023381259,0.0010575529,0.00020449716,0.0009516266,0.00029239664,0.00039372322,0.0015078513],"category_scores_gemma":[0.006334619,0.00014549849,0.00028293388,0.0011181947,0.00047556727,0.00084227626,0.00043707414,0.000485596,0.00018324457],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024345033,0.00008140562,0.99045193,0.00003162759,0.00015263991,0.00032577963,0.00037948112,0.0003166062,0.00037668512,0.0004575991,0.0001618592,0.007020907],"study_design_scores_gemma":[0.000003810061,0.000034153316,0.9987514,0.000007206675,0.000030210236,0.000056856352,0.00021332268,0.00038210812,0.000098958015,0.00014709056,0.0002707939,0.0000041402454],"about_ca_topic_score_codex":0.008836406,"about_ca_topic_score_gemma":0.008851165,"teacher_disagreement_score":0.008836406,"about_ca_system_score_codex":0.0004006382,"about_ca_system_score_gemma":0.00033055304,"threshold_uncertainty_score":0.01756996},"labels":[],"label_agreement":null},{"id":"W2754349384","doi":"10.15353/rea.v9i2.1440","title":"Testing the Empirical Validity of the Adaptive Markets Hypothesis","year":2017,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Inefficiency; Financial market; Economics; Efficient-market hypothesis; Behavioral economics; Financial economics; Portfolio; Irrational number; Capital market; Test (biology); Microeconomics; Finance; Stock market","score_opus":0.28329880898003107,"score_gpt":0.305124521335793,"score_spread":0.021825712355761917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754349384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620628,0.0012013563,0.021673908,0.0041611926,0.00011866457,0.00008211209,0.00037584818,0.00005038461,0.010273786],"genre_scores_gemma":[0.9972428,0.00030573359,0.0016036192,0.0001685853,0.00010173945,0.000052053,0.00017396218,0.0000060998796,0.00034538918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99174094,0.0049535856,0.00043140142,0.0012747284,0.0011125962,0.00048673106],"domain_scores_gemma":[0.77215946,0.1935952,0.020844277,0.00740275,0.0043463344,0.0016520006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012304819,0.0005229112,0.001065898,0.0012906614,0.0006340019,0.0018576777,0.0021410577,0.0019583893,0.007852314],"category_scores_gemma":[0.110398225,0.00030913606,0.0009941388,0.0015820783,0.0050360463,0.0037734841,0.0022456495,0.002304771,0.00069855154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013015829,0.0014213467,0.62628406,0.0008766104,0.0020075545,0.0013829865,0.0019867942,0.019847216,0.0019503972,0.26213214,0.0048987903,0.07591042],"study_design_scores_gemma":[0.0010231079,0.0017702765,0.36879888,0.00029989367,0.00085874647,0.00068506715,0.0048588105,0.15386349,0.0019887502,0.45866105,0.0070455363,0.00014646289],"about_ca_topic_score_codex":0.0018741606,"about_ca_topic_score_gemma":0.0005581324,"teacher_disagreement_score":0.012304819,"about_ca_system_score_codex":0.0005391211,"about_ca_system_score_gemma":0.0011512345,"threshold_uncertainty_score":0.06507486},"labels":[],"label_agreement":null},{"id":"W2754878122","doi":"10.5430/ijfr.v8n4p38","title":"A Comparative Analysis of Four-Factor Model and Three-Factor Model in the Nigerian Stock Market","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Economics; Explanatory power; Financial economics; Portfolio; Market portfolio; Market liquidity; Stock market; Stock exchange; Factor analysis; Equity (law); Stock (firearms); Capital asset pricing model; Monetary economics; Finance","score_opus":0.255616169706513,"score_gpt":0.39114975497442317,"score_spread":0.13553358526791015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754878122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9241184,0.0030897737,0.058306966,0.0016123188,0.00014304616,0.000198819,0.00033304398,0.00014679915,0.012050873],"genre_scores_gemma":[0.9898769,0.0010247754,0.006407205,0.00006498491,0.000053542317,0.000055132357,0.00029900268,0.000027454558,0.0021909527],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987431,0.00067987613,0.00006396382,0.00019309082,0.0001658301,0.00015418639],"domain_scores_gemma":[0.994776,0.0038773755,0.00046362006,0.00018383445,0.0005189555,0.00018014266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036026991,0.0009150857,0.00087753136,0.0020590492,0.00084013294,0.0025726454,0.00065881835,0.0007789306,0.0053837937],"category_scores_gemma":[0.008716616,0.00038530838,0.0019956583,0.0012877518,0.00063848024,0.0020693669,0.00066254305,0.00090963166,0.0005773005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013049706,0.00081258,0.54121065,0.00064473884,0.0015579915,0.0040248283,0.00351375,0.1918703,0.0019781948,0.10172349,0.006649564,0.144709],"study_design_scores_gemma":[0.00011121307,0.00039846706,0.14617097,0.00023437732,0.0004761092,0.00057521573,0.0016157605,0.7990183,0.00031359532,0.04696465,0.0040098364,0.00011161886],"about_ca_topic_score_codex":0.021043653,"about_ca_topic_score_gemma":0.009675309,"teacher_disagreement_score":0.021043653,"about_ca_system_score_codex":0.0012416259,"about_ca_system_score_gemma":0.0015091246,"threshold_uncertainty_score":0.04184234},"labels":[],"label_agreement":null},{"id":"W2754956095","doi":"","title":"Goal Achieving Probabilities of Cone-Constrained Mean-variance Portfolios","year":2013,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; HEC Montréal","funders":"","keywords":"Probabilistic logic; Portfolio; Investment strategy; Variance (accounting); Financial market; Mathematical economics; Economics; Terminal (telecommunication); Cone (formal languages); Project portfolio management; Econometrics; Computer science; Mathematics; Finance; Statistics; Algorithm","score_opus":0.013299109471479689,"score_gpt":0.18099427426847028,"score_spread":0.1676951647969906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754956095","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08621682,0.00041076343,0.90564513,0.00034949087,0.000029468629,0.00008677368,0.00012148978,0.00014469845,0.0069953725],"genre_scores_gemma":[0.9181049,0.00071340095,0.075343765,0.00014825763,0.000050284005,0.0002419735,0.00022671469,0.00011191254,0.0050587873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998882,0.00034395407,0.000051229097,0.00016806812,0.00031989193,0.00023494406],"domain_scores_gemma":[0.9920831,0.005865127,0.0008554059,0.00023991436,0.0005811448,0.00037535935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034112646,0.00095024,0.0009894633,0.0012480714,0.00054722547,0.0025078382,0.0015622318,0.0012852497,0.004751992],"category_scores_gemma":[0.019331183,0.0007180328,0.0009190956,0.0007099271,0.0017977648,0.0033904826,0.0014122449,0.0017099207,0.0003539302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009216603,0.000059865408,0.0026472704,0.000088997134,0.000039453957,0.00021125321,0.00013715695,0.6567159,0.0013017621,0.32552093,0.0011292694,0.012056031],"study_design_scores_gemma":[0.000009172798,0.00002617519,0.00038160372,0.000027339927,0.000008147546,0.000058442274,0.000025630121,0.9247014,0.00048528795,0.07401505,0.00024600164,0.00001576883],"about_ca_topic_score_codex":0.002236484,"about_ca_topic_score_gemma":0.0018373722,"teacher_disagreement_score":0.004751992,"about_ca_system_score_codex":0.0017684097,"about_ca_system_score_gemma":0.0016741602,"threshold_uncertainty_score":0.018040717},"labels":[],"label_agreement":null},{"id":"W2756089245","doi":"10.2139/ssrn.3031382","title":"A Critique of Modern Portfolio Theory and Asset Pricing Models Based on Behavioral Insights from Benjamin Graham's Value Investing Paradigm","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University; University of New Brunswick","funders":"","keywords":"Capital asset pricing model; Modern portfolio theory; Portfolio; Financial economics; Economics; Value (mathematics); Behavioral economics; Asset (computer security); Cognitive science; Neoclassical economics; Epistemology; Positive economics; Philosophy; Psychology; Microeconomics; Computer science","score_opus":0.029350865592700667,"score_gpt":0.250343929997807,"score_spread":0.22099306440510635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756089245","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024902921,0.010022872,0.5198918,0.30636698,0.0025224795,0.000108913555,0.0010061015,0.0005637699,0.13461411],"genre_scores_gemma":[0.77955496,0.015511983,0.123419546,0.03951156,0.009222139,0.000464791,0.00037758856,0.00037773766,0.03155969],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973463,0.0007811245,0.00011055882,0.00035374484,0.0012453701,0.00016287976],"domain_scores_gemma":[0.9901979,0.0065751933,0.00070277863,0.0009231449,0.0012545757,0.0003464135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005345109,0.001062772,0.0018811569,0.002025153,0.0011764634,0.0042352597,0.0034072078,0.006455533,0.0062402654],"category_scores_gemma":[0.018538252,0.00064527,0.0010295532,0.00235039,0.009501555,0.009281219,0.0024617573,0.010057143,0.0020510938],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054112666,0.000010001025,0.000099669815,0.000024268204,0.00000559793,0.000010813109,0.000055344295,0.0007152208,0.000030334015,0.9909548,0.0042636422,0.003824776],"study_design_scores_gemma":[0.000006808995,0.000004539655,0.000086545944,0.000018288614,0.000002528282,0.00002102954,0.000016112503,0.00259866,0.000020914878,0.9923717,0.0048475196,0.0000053669455],"about_ca_topic_score_codex":0.003381944,"about_ca_topic_score_gemma":0.0022494178,"teacher_disagreement_score":0.006455533,"about_ca_system_score_codex":0.0030407768,"about_ca_system_score_gemma":0.0035408626,"threshold_uncertainty_score":0.02826798},"labels":[],"label_agreement":null},{"id":"W2759647458","doi":"10.1177/0972150917713370","title":"The Turn of the Month Effect in Asia-Pacific Markets: New Evidence","year":2017,"lang":"en","type":"article","venue":"Global Business Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); January effect; Quarter (Canadian coin); Economics; Anomaly (physics); Financial economics; Emerging markets; Monetary economics; Geography; Stock market; Finance; Political science","score_opus":0.03546404921951539,"score_gpt":0.2602709142627781,"score_spread":0.2248068650432627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759647458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97540635,0.015505501,0.0007555876,0.0014769223,0.00007686631,0.0000102322865,0.00038615827,0.000014475473,0.0063678822],"genre_scores_gemma":[0.99283904,0.006189253,0.00013732741,0.0001705295,0.00022915869,0.0000026282744,0.00018703906,0.0000075347984,0.00023754539],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962926,0.00008984491,0.000037801,0.000087578206,0.0000992057,0.0000562397],"domain_scores_gemma":[0.98773766,0.0042774007,0.00605773,0.0006068639,0.00073403434,0.00058628066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016127088,0.00014134313,0.00036356392,0.0009143937,0.0002699294,0.0013111557,0.00034944675,0.0003646681,0.0019798176],"category_scores_gemma":[0.007580257,0.0001337072,0.0003714297,0.0020375417,0.0010448612,0.0011940348,0.0007131861,0.0009143453,0.00023143209],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003132457,0.00008222965,0.9440507,0.0002955355,0.00033068054,0.00055716623,0.0011230086,0.0003783711,0.000531797,0.0026914922,0.00175759,0.0478881],"study_design_scores_gemma":[0.000008951839,0.000069450594,0.9928758,0.000074073454,0.0001566975,0.00019237395,0.0009110388,0.0004734534,0.00020034272,0.0010553022,0.0039721103,0.0000103643],"about_ca_topic_score_codex":0.00747478,"about_ca_topic_score_gemma":0.0055826595,"teacher_disagreement_score":0.00747478,"about_ca_system_score_codex":0.00020935385,"about_ca_system_score_gemma":0.00044904742,"threshold_uncertainty_score":0.014862537},"labels":[],"label_agreement":null},{"id":"W2760630492","doi":"10.1111/acfi.12300","title":"Market share growth and stock returns","year":2017,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock market; Monetary economics; Stock (firearms); Market share; Growth stock; Economics; Quarter (Canadian coin); Business; Market share analysis; Financial economics; Stock market bubble; Market microstructure; Finance; Order (exchange)","score_opus":0.02550688385754165,"score_gpt":0.2154380112155056,"score_spread":0.18993112735796394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760630492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956104,0.00037360296,0.00012838574,0.00036625963,0.000016261694,0.0000033310666,0.0003315727,0.000016705013,0.003153543],"genre_scores_gemma":[0.9989875,0.00011815394,0.000031990694,0.00001690821,0.000024126111,0.0000019021609,0.00019914297,0.0000023136972,0.0006178862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998517,0.00004213321,0.000011680015,0.000019220908,0.00003799245,0.00003718374],"domain_scores_gemma":[0.9914125,0.0025935548,0.0042218245,0.0002996365,0.0005488427,0.00092356536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046448995,0.00023003797,0.0001300932,0.0007178683,0.00015730062,0.0006833988,0.00015677697,0.00034600348,0.004574915],"category_scores_gemma":[0.005747679,0.00007591656,0.00022967176,0.00062458246,0.00027272347,0.00049045,0.0003211085,0.0006014225,0.0008724498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009010842,0.00010584328,0.9929195,0.000008131582,0.00005086588,0.000120504475,0.000055146822,0.0004692619,0.00034296428,0.00037471883,0.00046941816,0.0049934215],"study_design_scores_gemma":[0.0000034504483,0.00004764505,0.9973742,0.000007904522,0.000014805539,0.00009208398,0.00006910716,0.0011557562,0.00022495727,0.0005298499,0.0004769281,0.0000033147528],"about_ca_topic_score_codex":0.0033102776,"about_ca_topic_score_gemma":0.0025830262,"teacher_disagreement_score":0.004574915,"about_ca_system_score_codex":0.00023895576,"about_ca_system_score_gemma":0.00019734018,"threshold_uncertainty_score":0.015304625},"labels":[],"label_agreement":null},{"id":"W2761634116","doi":"10.2139/ssrn.3038542","title":"Market Impact of Algorithmic Trading: A Reconciliation","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Algorithmic trading; High-frequency trading; Pairs trade; Business; Market impact; Financial economics; Economics; Market microstructure; Alternative trading system; Finance; Order (exchange)","score_opus":0.02598624250470234,"score_gpt":0.24977936920683752,"score_spread":0.2237931267021352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761634116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66147923,0.0071646105,0.06685249,0.037599586,0.0017039283,0.00009235687,0.0009121732,0.000542991,0.22365257],"genre_scores_gemma":[0.9926029,0.00086363795,0.0016422435,0.0004332869,0.0006196169,0.000009579222,0.00007755903,0.00007024639,0.0036810774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988042,0.0003535527,0.00006565137,0.00018731791,0.0004484289,0.00014087194],"domain_scores_gemma":[0.9867677,0.008432759,0.00097009103,0.0018204219,0.0015708201,0.00043815447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025799212,0.00057572953,0.001006954,0.0014450275,0.0006096035,0.005694964,0.0018267184,0.002240883,0.02453574],"category_scores_gemma":[0.024176158,0.00028001922,0.0007683105,0.0010811152,0.001853263,0.009198447,0.0022275958,0.002401997,0.0010765387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006850856,0.00042118283,0.0068268743,0.0003262993,0.0001753559,0.0004260456,0.00035468195,0.0352115,0.0025011091,0.8611108,0.008008611,0.0839525],"study_design_scores_gemma":[0.00014990612,0.0001642177,0.010955753,0.000087676286,0.00020749423,0.00022613702,0.0005005256,0.13870059,0.0015622767,0.8402921,0.007091688,0.00006161347],"about_ca_topic_score_codex":0.0008374578,"about_ca_topic_score_gemma":0.00094136933,"teacher_disagreement_score":0.02453574,"about_ca_system_score_codex":0.0008183054,"about_ca_system_score_gemma":0.0009418502,"threshold_uncertainty_score":0.082080245},"labels":[],"label_agreement":null},{"id":"W2761686788","doi":"10.1186/s40929-017-0016-9","title":"Liquidity and volatility commonality in the Canadian stock market","year":2017,"lang":"en","type":"article","venue":"Mathematics-in-Industry Case Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; Centre for Global Health Research; York University","funders":"Division of Mathematical Sciences; Natural Sciences and Engineering Research Council of Canada; Mitacs; Fields Institute for Research in Mathematical Sciences; TD Bank","keywords":"Market liquidity; Liquidity crisis; Accounting liquidity; Volatility (finance); Liquidity risk; Monetary economics; Market maker; Liquidity premium; Economics; Stock (firearms); Bid–ask spread; Market impact; Stock market; Financial economics; Business; Econometrics; Market microstructure; Finance; Order (exchange); Engineering; Biology","score_opus":0.14036402682338597,"score_gpt":0.30983848322355734,"score_spread":0.16947445640017136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761686788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997357,0.00039677694,0.00023788221,0.00013315356,0.0000017936472,0.000006812109,0.00026430088,0.0000053943854,0.0015968807],"genre_scores_gemma":[0.99944,0.00012378387,0.00011834654,0.0000071339296,0.0000025561242,0.0000013390878,0.00017068854,8.1797566e-7,0.00013530468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922395,0.00008885729,0.00003672596,0.00011175802,0.0003472629,0.00019154062],"domain_scores_gemma":[0.99667764,0.00091456814,0.0010672937,0.00018463256,0.0008596065,0.00029622472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010180789,0.00024198215,0.0003325415,0.0033571848,0.0015198317,0.001583755,0.00053322094,0.00027378535,0.0011663778],"category_scores_gemma":[0.0068667205,0.000116586794,0.00047067006,0.0037909192,0.0009778492,0.00091809075,0.0009822943,0.00032966962,0.00004131156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020956434,0.000050700306,0.9646569,0.000049779217,0.00029904128,0.00034997007,0.0015120229,0.003987139,0.0010130613,0.008277068,0.00076079374,0.018834082],"study_design_scores_gemma":[0.000011383694,0.000023332488,0.98947376,0.000016215901,0.000080448845,0.00009822454,0.0011069627,0.0061580595,0.00032399312,0.0017152439,0.00096257305,0.000029793311],"about_ca_topic_score_codex":0.89567965,"about_ca_topic_score_gemma":0.9102759,"teacher_disagreement_score":0.10432035,"about_ca_system_score_codex":0.008984087,"about_ca_system_score_gemma":0.006139084,"threshold_uncertainty_score":0.20986938},"labels":[],"label_agreement":null},{"id":"W2762005851","doi":"10.2139/ssrn.3038837","title":"Bond Market Reaction to Untimely Filings of 10-K and 10-Q Reports","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Bond; Business; Economics; Finance","score_opus":0.01496786840589055,"score_gpt":0.21963384116539492,"score_spread":0.20466597275950438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762005851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98625296,0.0002748418,0.0003241663,0.0019784844,0.00044737972,0.000058513117,0.0007717492,0.0000782483,0.009813782],"genre_scores_gemma":[0.9947931,0.00013075283,0.00013121766,0.00029370416,0.00035222,0.000018829332,0.0007454781,0.000026970178,0.0035076842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99739933,0.00060841424,0.00026580624,0.00030861894,0.0010325287,0.00038530526],"domain_scores_gemma":[0.9183418,0.037429553,0.03261942,0.0021990798,0.0058269617,0.0035832135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004641696,0.00028534187,0.0005558457,0.0009847024,0.00060313253,0.0036708154,0.0006559517,0.003517248,0.008179983],"category_scores_gemma":[0.062750414,0.00025094,0.00035874857,0.00059331587,0.0005753442,0.0013862876,0.001152178,0.003409655,0.00289882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03423488,0.004068811,0.7715631,0.0004225275,0.00072118023,0.0028998668,0.0041512833,0.008362834,0.02082821,0.025427632,0.055162948,0.07215669],"study_design_scores_gemma":[0.00048186054,0.0029633145,0.9329395,0.00013203965,0.00031404354,0.0006960268,0.0046822173,0.020025972,0.008000115,0.0087716505,0.020786438,0.00020673228],"about_ca_topic_score_codex":0.0035683366,"about_ca_topic_score_gemma":0.003586086,"teacher_disagreement_score":0.008179983,"about_ca_system_score_codex":0.00075464224,"about_ca_system_score_gemma":0.0003950248,"threshold_uncertainty_score":0.02736479},"labels":[],"label_agreement":null},{"id":"W2762094310","doi":"10.3390/jrfm10040018","title":"Financial Market Integration: Evidence from Cross-Listed French Firms","year":2017,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Financial market; Business; Financial economics; Monetary economics; Economics; Finance","score_opus":0.03014597735792247,"score_gpt":0.24647451293458736,"score_spread":0.2163285355766649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762094310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988908,0.00028421084,0.00007980196,0.00006805427,0.0000022773713,0.0000034891348,0.0001996588,0.000004521701,0.0004671936],"genre_scores_gemma":[0.9986646,0.00016957909,0.00008310085,0.000022098358,0.000020476251,0.0000034720451,0.000862255,0.0000015477458,0.00017283537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857044,0.00041983882,0.00012574019,0.00025697856,0.00036308388,0.00026397136],"domain_scores_gemma":[0.9839267,0.004971042,0.007935505,0.0008681461,0.0014148442,0.0008838574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019788917,0.00042302156,0.00044686004,0.0029498923,0.00062361977,0.0017159024,0.00052727154,0.0011162487,0.0014011707],"category_scores_gemma":[0.008202386,0.00026474724,0.00048114886,0.0032070226,0.0006124218,0.0011138953,0.0010956065,0.00047020323,0.00035347868],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015514258,0.0001294845,0.9915141,0.0000149937805,0.00017111674,0.00035771652,0.0008580379,0.0005857145,0.00036412795,0.00015776737,0.00031596125,0.0053758565],"study_design_scores_gemma":[0.0000087874705,0.000103679,0.9977373,0.0000074195987,0.000027567154,0.00014389984,0.00037715153,0.0010067893,0.00013843637,0.00003223812,0.0004058843,0.000010734604],"about_ca_topic_score_codex":0.07451333,"about_ca_topic_score_gemma":0.06555755,"teacher_disagreement_score":0.07451333,"about_ca_system_score_codex":0.0012613366,"about_ca_system_score_gemma":0.00035020028,"threshold_uncertainty_score":0.1481592},"labels":[],"label_agreement":null},{"id":"W2762212150","doi":"10.1016/j.jeconom.2020.04.037","title":"Small-sample tests for stock return predictability with possibly non-stationary regressors and GARCH-type effects","year":2020,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Bank of Canada","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Predictability; Econometrics; Autoregressive conditional heteroskedasticity; Stock (firearms); Mathematics; Economics; Statistics; Volatility (finance); Engineering","score_opus":0.14180431401630422,"score_gpt":0.24000052261106947,"score_spread":0.09819620859476524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762212150","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48608205,0.00014374046,0.51104313,0.00018827154,0.00004030303,0.00014968083,0.00032239457,0.00068060943,0.0013497842],"genre_scores_gemma":[0.9622772,0.000034591856,0.036871888,0.00003554681,0.000031404314,0.000111873334,0.0003658012,0.000025495445,0.00024618578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99556714,0.0029570626,0.00023380223,0.00044039558,0.0006627881,0.00013872683],"domain_scores_gemma":[0.8332266,0.15495618,0.00540992,0.0045324406,0.0011607573,0.0007141326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009969507,0.00045447942,0.0008023412,0.0016942024,0.00037128813,0.0006593764,0.0010510845,0.0005939331,0.0027427478],"category_scores_gemma":[0.07153881,0.0003191321,0.0010083119,0.0011102823,0.0008603484,0.0009418439,0.0007715696,0.001041566,0.0002707493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010860031,0.0007901127,0.3424695,0.00019636199,0.0034060664,0.0013512067,0.00038520974,0.44761062,0.008908729,0.036301617,0.0016396891,0.15585493],"study_design_scores_gemma":[0.00012690293,0.0005956775,0.04715096,0.000012723599,0.00011701086,0.00020312922,0.000041145282,0.93075126,0.0031738232,0.017275658,0.00050795457,0.000043744574],"about_ca_topic_score_codex":0.0017183977,"about_ca_topic_score_gemma":0.0020392227,"teacher_disagreement_score":0.009969507,"about_ca_system_score_codex":0.00028819867,"about_ca_system_score_gemma":0.0010945362,"threshold_uncertainty_score":0.05272442},"labels":[],"label_agreement":null},{"id":"W2763030756","doi":"10.1111/1911-3846.12618","title":"Sentiment, Loss Firms, and Investor Expectations of Future Earnings*","year":2020,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Boston University","keywords":"Earnings; Financial distress; Business; Profit (economics); Behavioral economics; Economics; Market sentiment; Monetary economics; Financial economics; Finance; Microeconomics; Financial system","score_opus":0.0941170735974975,"score_gpt":0.2928061828431576,"score_spread":0.19868910924566013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763030756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718684,0.00006004908,0.00015709775,0.00013973657,0.0000042386673,0.0000045880556,0.000087797205,0.000003420578,0.0023562138],"genre_scores_gemma":[0.9996742,0.000024675117,0.000032601485,0.00001554217,0.000006681488,0.0000012873887,0.00005594026,6.659283e-7,0.00018842354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976665,0.000051957108,0.000027291304,0.000027142887,0.00008547501,0.000041478765],"domain_scores_gemma":[0.9859081,0.0036758373,0.008449259,0.00029869814,0.0007261041,0.0009419687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001037769,0.00017825142,0.00019345466,0.00044544318,0.00020489999,0.0013703933,0.00015535197,0.0004152287,0.0021854225],"category_scores_gemma":[0.0075820363,0.00008096247,0.000165514,0.00034071278,0.00030103995,0.00058188254,0.0004447245,0.00056372717,0.00026217534],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017911448,0.0001313981,0.99263245,0.00001236708,0.000044960783,0.00008878741,0.00012760294,0.00074073276,0.00084631133,0.0006863659,0.0002731321,0.004236831],"study_design_scores_gemma":[0.0000039849247,0.00007763416,0.99584395,0.000006645828,0.000014977261,0.000048002345,0.00022626694,0.0025138923,0.00026670043,0.0007462346,0.00024491063,0.0000068510503],"about_ca_topic_score_codex":0.001838317,"about_ca_topic_score_gemma":0.0021259966,"teacher_disagreement_score":0.0021854225,"about_ca_system_score_codex":0.00051670184,"about_ca_system_score_gemma":0.00017518192,"threshold_uncertainty_score":0.0073109865},"labels":[],"label_agreement":null},{"id":"W2763037592","doi":"10.1016/b978-0-12-802205-4.00020-8","title":"High-Frequency Technical Trading","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Volatility (finance); Profitability index; Technical analysis; Index (typography); Econometrics; Trading strategy; High-frequency trading; Economics; Algorithmic trading; Moving average; Financial economics; Mathematics; Statistics; Computer science; Finance","score_opus":0.047827952835110064,"score_gpt":0.22510060865922,"score_spread":0.17727265582410992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763037592","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026579978,0.010444477,0.116245106,0.0010766132,0.0010422195,0.000036227535,0.00016483999,0.0010603911,0.8433501],"genre_scores_gemma":[0.29308718,0.0061080405,0.021625815,0.00030493274,0.0010623044,0.000033505068,0.00036534117,0.00030252567,0.6771103],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976903,0.000029857732,0.000012172187,0.00004540944,0.00012279389,0.000020800628],"domain_scores_gemma":[0.9996037,0.00013597094,0.000036499536,0.00013494422,0.000059866918,0.000029132761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037214052,0.00054353155,0.00029638634,0.0008269031,0.00032024118,0.0023929519,0.0005591404,0.0009642849,0.0591415],"category_scores_gemma":[0.0011650842,0.00019312422,0.00027588708,0.0008575435,0.00050556596,0.00249466,0.0010959869,0.00075770397,0.013867241],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006753018,0.000069656344,0.00071635813,0.00016576349,0.0000331724,0.00026586087,0.0001226089,0.0042663254,0.0107821375,0.25568238,0.035381716,0.69244653],"study_design_scores_gemma":[0.000039130104,0.00011851943,0.0040827934,0.00024687403,0.00004262994,0.0023407897,0.00013144752,0.05187119,0.008667483,0.44531798,0.48709637,0.00004481503],"about_ca_topic_score_codex":0.00022527218,"about_ca_topic_score_gemma":0.00028501367,"teacher_disagreement_score":0.0591415,"about_ca_system_score_codex":0.0003385357,"about_ca_system_score_gemma":0.00021747827,"threshold_uncertainty_score":0.19784802},"labels":[],"label_agreement":null},{"id":"W2763914506","doi":"10.21474/ijar01/5331","title":"MEASURING FUND PERFORMANCE USING MULTI-FACTOR MODELS: EVIDENCE FROM THE INDIAN MUTUAL FUNDS AND ULIP FUNDS.","year":2017,"lang":"en","type":"article","venue":"International Journal of Advanced Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institutes of Health Research","funders":"","keywords":"Closed-end fund; Fund of funds; Open-end fund; Mutual fund; Actuarial science; Business; Finance; Accounting; Institutional investor","score_opus":0.5503192157119098,"score_gpt":0.40054919931384314,"score_spread":0.14977001639806664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763914506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953838,0.00084310304,0.0010881469,0.00056211394,0.00001742589,0.000022838563,0.00039243192,0.000042784544,0.0016472386],"genre_scores_gemma":[0.9987863,0.00026870723,0.00037183246,0.000018085944,0.000011133431,0.0000073849505,0.000327131,0.0000031329068,0.00020639686],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979603,0.0009930399,0.00015485598,0.00018118265,0.000436478,0.00027408556],"domain_scores_gemma":[0.9720791,0.01712956,0.0063123796,0.0013759402,0.0023120586,0.00079103507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063954983,0.0006762326,0.00048043893,0.0020117173,0.00058639277,0.0024158568,0.0009330937,0.00076463004,0.0009474972],"category_scores_gemma":[0.03803701,0.0002527753,0.0010237962,0.003336265,0.0006649833,0.0017429407,0.0010683032,0.00094063545,0.00034700142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010685662,0.00039161358,0.9213345,0.000131967,0.00094304676,0.00036269613,0.0013247946,0.027507136,0.0002529091,0.0034972376,0.0026065565,0.040578973],"study_design_scores_gemma":[0.00014843984,0.0005278794,0.90856194,0.00011850218,0.0008559206,0.0002193675,0.002940923,0.07695027,0.0010809639,0.005022196,0.0034732027,0.00010043979],"about_ca_topic_score_codex":0.09661151,"about_ca_topic_score_gemma":0.04950551,"teacher_disagreement_score":0.09661151,"about_ca_system_score_codex":0.0020283195,"about_ca_system_score_gemma":0.0018208199,"threshold_uncertainty_score":0.19209832},"labels":[],"label_agreement":null},{"id":"W2764130846","doi":"10.3390/jrfm13060120","title":"Modelling Sector-Level Asset Prices","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Econometrics; Economics; Asset (computer security); Component (thermodynamics); Systematic risk; Consumption-based capital asset pricing model; Financial economics; Business; Computer science","score_opus":0.05334933817702534,"score_gpt":0.20358941538226405,"score_spread":0.15024007720523871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2764130846","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41032633,0.00028632273,0.5733374,0.0005781807,0.000049637416,0.00012296245,0.0017872266,0.00036920025,0.013142796],"genre_scores_gemma":[0.96824485,0.00020925495,0.027239176,0.000030002775,0.000024934423,0.000090372276,0.0005034369,0.000033899047,0.003624042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994728,0.00022952502,0.000028644545,0.000110743844,0.00008546708,0.00007297215],"domain_scores_gemma":[0.9983512,0.00094062334,0.00032875422,0.0001789623,0.00014329907,0.000057165485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011681318,0.00040110727,0.00052142976,0.0005214277,0.00018668587,0.0016631245,0.00106257,0.0011290417,0.0043045515],"category_scores_gemma":[0.004797803,0.0003163356,0.0007599555,0.0014212062,0.0003167185,0.0012921053,0.00067682256,0.0010129557,0.0006799203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000401132,0.000057724017,0.01831004,0.00003312005,0.00008352005,0.00014819544,0.00012335673,0.9192466,0.0011701606,0.046639513,0.0005894083,0.013558182],"study_design_scores_gemma":[0.000009448243,0.000019438188,0.0027035114,0.000004576421,0.000014856378,0.00002610284,0.000026543577,0.9796688,0.00016257369,0.016637271,0.0007191273,0.000007789068],"about_ca_topic_score_codex":0.007935463,"about_ca_topic_score_gemma":0.006272562,"teacher_disagreement_score":0.007935463,"about_ca_system_score_codex":0.00082562095,"about_ca_system_score_gemma":0.00086693617,"threshold_uncertainty_score":0.015778542},"labels":[],"label_agreement":null},{"id":"W2766305334","doi":"10.5430/ijfr.v8n4p184","title":"Presidential Election and Portfolio Selections in the Nigeria Stock Exchange","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Presidential election; Stock exchange; Presidential system; Portfolio; Stock (firearms); Market capitalization; Capitalization; Economics; Stock market; Business; Monetary economics; Event study; Financial economics; Politics; Finance; Political science","score_opus":0.1000023723919355,"score_gpt":0.3650473035433836,"score_spread":0.2650449311514481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766305334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741155,0.00025797906,0.000028697352,0.00016369381,0.000016014488,0.0000035729881,0.0000764984,0.0000017046073,0.0020402619],"genre_scores_gemma":[0.99888784,0.00016975227,0.000015843374,0.000017059414,0.000020980317,0.0000012564909,0.00011393129,7.2878265e-7,0.0007725164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997527,0.000053266256,0.0000277327,0.000026231413,0.000065910805,0.00007413548],"domain_scores_gemma":[0.99713755,0.000498145,0.0016986451,0.00006646396,0.00023782828,0.00036131576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006824372,0.000115580486,0.00017056789,0.0005404815,0.00036868086,0.0011647686,0.00010516399,0.00022771045,0.0027220207],"category_scores_gemma":[0.0034837986,0.00007455445,0.00014455232,0.00055163255,0.00013415355,0.0004471055,0.0003345416,0.00052969984,0.00035927873],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016542058,0.0000870508,0.9903108,0.00001074835,0.000030234061,0.00020603619,0.000201718,0.00014678671,0.00025047795,0.00019386066,0.0004215128,0.007975277],"study_design_scores_gemma":[0.000002561796,0.000040783216,0.99867415,0.000005618208,0.0000085513575,0.000054441418,0.00026011045,0.00020923353,0.00009747557,0.00004197993,0.0006026317,0.0000025292159],"about_ca_topic_score_codex":0.0038269663,"about_ca_topic_score_gemma":0.007705452,"teacher_disagreement_score":0.0038269663,"about_ca_system_score_codex":0.0002993859,"about_ca_system_score_gemma":0.0002338206,"threshold_uncertainty_score":0.0091061},"labels":[],"label_agreement":null},{"id":"W2766555927","doi":"10.2308/accr-51953","title":"The Impact of Seasonal Affective Disorder on Financial Analysts","year":2017,"lang":"en","type":"article","venue":"The Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of British Columbia","funders":"","keywords":"Pessimism; Equity (law); Earnings; Economics; Stock (firearms); Financial economics; Econometrics; Finance; Geography; Political science","score_opus":0.02715904220544226,"score_gpt":0.28484741188126067,"score_spread":0.25768836967581843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766555927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918933,0.0010220902,0.000119254524,0.0013564193,0.000042764783,0.000005646354,0.0003201406,0.000006897109,0.0052334736],"genre_scores_gemma":[0.99918884,0.00030429027,0.00005214001,0.00011431112,0.000031094904,0.0000024507979,0.00008589723,0.0000011109407,0.00021990108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913895,0.00038674887,0.00007274457,0.00006401931,0.000234729,0.00010270699],"domain_scores_gemma":[0.97952384,0.007886334,0.009753235,0.0003444487,0.0013384894,0.0011536102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010709617,0.000119610544,0.00013093387,0.00057309744,0.0002620846,0.00060991384,0.00016145634,0.0002810232,0.0035193693],"category_scores_gemma":[0.019065943,0.000077566205,0.0001809268,0.0005796291,0.0001726298,0.00030504807,0.00040422805,0.00054735196,0.00030589788],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003126272,0.000081187325,0.9740409,0.000043503256,0.000082899285,0.00010562641,0.00033953652,0.00017678823,0.00045848492,0.00017110442,0.0013321959,0.022855097],"study_design_scores_gemma":[0.0000046481605,0.00005448279,0.99813867,0.000028025017,0.000029517638,0.00011129199,0.00044691013,0.000321902,0.000086660904,0.00021195861,0.0005617534,0.0000042849533],"about_ca_topic_score_codex":0.0050985096,"about_ca_topic_score_gemma":0.010575523,"teacher_disagreement_score":0.0050985096,"about_ca_system_score_codex":0.00042920685,"about_ca_system_score_gemma":0.00026894425,"threshold_uncertainty_score":0.011773407},"labels":[],"label_agreement":null},{"id":"W2766612133","doi":"10.2139/ssrn.3051149","title":"Economic Consequences of Hiring Wall Street Analysts as Investor Relations Officers","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Finance; Accounting","score_opus":0.023543412125655742,"score_gpt":0.23972531878093223,"score_spread":0.21618190665527648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766612133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96903706,0.000459007,0.00019730342,0.009775871,0.0002543036,0.00006581603,0.00023529335,0.00001866556,0.019956665],"genre_scores_gemma":[0.9905347,0.00023537324,0.00006627886,0.00093897193,0.00018090391,0.000020256828,0.00013984556,0.000003373132,0.00788022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99675167,0.00084634026,0.000106116895,0.00018036723,0.00043439431,0.0016811121],"domain_scores_gemma":[0.95549035,0.011219738,0.013766725,0.0008764739,0.0029155149,0.015731316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003925651,0.00024194639,0.00039521448,0.0011213832,0.0027990136,0.004633598,0.00090157986,0.0043519107,0.012568806],"category_scores_gemma":[0.023274802,0.00036096855,0.00028016718,0.0007464404,0.0012596012,0.0015591467,0.0015185276,0.0033109619,0.00180246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051572747,0.0067150644,0.8227976,0.000103550214,0.000248217,0.003686093,0.0024959603,0.0052254,0.0025147316,0.021492098,0.04358508,0.08597897],"study_design_scores_gemma":[0.0006147577,0.0022046857,0.9176359,0.0001907557,0.00024850777,0.0006470369,0.031785093,0.0069739013,0.0019529116,0.012457277,0.0251657,0.00012352389],"about_ca_topic_score_codex":0.01484218,"about_ca_topic_score_gemma":0.03266999,"teacher_disagreement_score":0.01484218,"about_ca_system_score_codex":0.0024980404,"about_ca_system_score_gemma":0.0027926564,"threshold_uncertainty_score":0.042046845},"labels":[],"label_agreement":null},{"id":"W2766632081","doi":"10.5539/ijef.v9n11p153","title":"Cash to Price Ratio &amp; Stock Returns: Evidence from Emerging Markets","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Value premium; Growth stock; Capital asset pricing model; Stock exchange; Market capitalization; Economics; Financial economics; Stock (firearms); Equity premium puzzle; Emerging markets; Monetary economics; Stock market; Econometrics; Business; Stock market bubble; Finance","score_opus":0.05852759379813904,"score_gpt":0.27403513340551466,"score_spread":0.21550753960737562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766632081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953355,0.0015174939,0.000226752,0.0003948153,0.000013578949,0.00000637695,0.00048458483,0.0000065665386,0.0020143713],"genre_scores_gemma":[0.9987031,0.00061504514,0.00004151901,0.00003139449,0.000029209068,0.0000013415031,0.00036367416,0.0000014956931,0.00021323244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975246,0.00004400498,0.000020405207,0.00005834173,0.000078357785,0.000046501667],"domain_scores_gemma":[0.9943256,0.0015157373,0.002955247,0.00023496535,0.0005010333,0.0004673762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090601516,0.00024565085,0.00020932611,0.0010040518,0.0002093884,0.0008004519,0.00027499843,0.0003052136,0.0015747688],"category_scores_gemma":[0.004261918,0.000094416326,0.00045611238,0.0010060339,0.00033734992,0.00092493347,0.00042763958,0.00070103846,0.0003144104],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008249095,0.00005989412,0.9900635,0.000024887635,0.000103503546,0.00026011732,0.000118103126,0.00024165223,0.00012372817,0.00046207858,0.00054848805,0.00791156],"study_design_scores_gemma":[0.0000062100494,0.00007609412,0.99704236,0.0000145909935,0.000052928575,0.00013924026,0.0001995082,0.0013321809,0.00014120534,0.0002679218,0.00072327926,0.0000043815835],"about_ca_topic_score_codex":0.0074637225,"about_ca_topic_score_gemma":0.0054499055,"teacher_disagreement_score":0.0074637225,"about_ca_system_score_codex":0.00022008679,"about_ca_system_score_gemma":0.00027328802,"threshold_uncertainty_score":0.014840543},"labels":[],"label_agreement":null},{"id":"W2766716246","doi":"10.5465/ambpp.2016.12919abstract","title":"It's not how many but how different: The effect of investor dissimilarity on analyst coverage","year":2016,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Salience (neuroscience); Business; Proposition; Context (archaeology); Empirical research; Institutional investor; Econometrics; Economics; Psychology; Finance; Corporate governance","score_opus":0.028812306226174752,"score_gpt":0.22243022091574932,"score_spread":0.19361791468957457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766716246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968465,0.00020259066,0.000715855,0.00042685602,0.000013410164,0.000005495831,0.000049664075,0.0000064824003,0.0017330515],"genre_scores_gemma":[0.9995548,0.000030622516,0.00012939256,0.000038186663,0.000018038154,0.0000014627823,0.000027288697,0.0000024308445,0.00019782898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973053,0.0011845375,0.00022245468,0.00052340113,0.0005111373,0.00025326503],"domain_scores_gemma":[0.9235996,0.04623669,0.020891063,0.003514603,0.0018166687,0.003941465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031731774,0.0001408937,0.00035432554,0.0008308653,0.0006018322,0.0016018602,0.00043055508,0.00073889276,0.0033047649],"category_scores_gemma":[0.057052825,0.00011922214,0.00027097552,0.00076818385,0.0008562127,0.0018025133,0.001583967,0.0008052265,0.0003622501],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069475506,0.00011136384,0.97467345,0.000023885077,0.00022854452,0.00014656968,0.0013529902,0.00056520663,0.0020956749,0.0006525521,0.00027271383,0.01918224],"study_design_scores_gemma":[0.000012539858,0.0002797103,0.99351513,0.000012889565,0.00008539978,0.00027434443,0.0016862265,0.0012390303,0.00066615327,0.0015624863,0.0006544404,0.000011539541],"about_ca_topic_score_codex":0.001728518,"about_ca_topic_score_gemma":0.0019891113,"teacher_disagreement_score":0.0033047649,"about_ca_system_score_codex":0.00028408182,"about_ca_system_score_gemma":0.00018438663,"threshold_uncertainty_score":0.016781569},"labels":[],"label_agreement":null},{"id":"W2766877782","doi":"","title":"Do Past Extreme Returns Explain the Future Performance? MAX Effect Evidence from the Nordic Countries","year":2016,"lang":"en","type":"article","venue":"Aaltodoc (Aalto University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics","score_opus":0.027823774545035804,"score_gpt":0.17938810049797294,"score_spread":0.15156432595293712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766877782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699398,0.012868155,0.00057984306,0.0018126579,0.0001871056,0.000008239755,0.0012760838,0.000014793107,0.013313402],"genre_scores_gemma":[0.99651563,0.001658065,0.00010447945,0.0001193022,0.000076213946,0.0000024775193,0.0006718469,0.000008949636,0.00084290263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994222,0.00011447878,0.000061167484,0.00017746013,0.00008987968,0.00013488407],"domain_scores_gemma":[0.98901945,0.004313052,0.003962449,0.00095432467,0.00089666754,0.00085412647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021654922,0.00032935987,0.0005042372,0.0011661474,0.00048827933,0.001963524,0.00054687454,0.00065605424,0.003028713],"category_scores_gemma":[0.006077436,0.00021495699,0.00078080746,0.0010867107,0.0007173667,0.00074570195,0.0009124111,0.0009213327,0.0003920528],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027331326,0.000049145106,0.98521334,0.00007247283,0.00033126332,0.00036252383,0.00032236835,0.0009115113,0.0001269329,0.0015352004,0.0012730008,0.0095289815],"study_design_scores_gemma":[0.000012695778,0.000058030106,0.9942578,0.00014014474,0.00023459512,0.000103130595,0.0005908966,0.00058489345,0.00015532311,0.0009447478,0.0029018624,0.0000159053],"about_ca_topic_score_codex":0.040532216,"about_ca_topic_score_gemma":0.030068383,"teacher_disagreement_score":0.040532216,"about_ca_system_score_codex":0.00058323453,"about_ca_system_score_gemma":0.00085323595,"threshold_uncertainty_score":0.08059263},"labels":[],"label_agreement":null},{"id":"W2766964708","doi":"10.2139/ssrn.3013149","title":"Model Comparison with Sharpe Ratios","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sharpe ratio; Econometrics; Mathematics; Economics; Portfolio; Financial economics","score_opus":0.039317191043044965,"score_gpt":0.24233695833347507,"score_spread":0.20301976729043011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766964708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70547247,0.0038995533,0.22033057,0.0048305597,0.00076412957,0.00020176849,0.0062387106,0.0020455173,0.056216743],"genre_scores_gemma":[0.9838156,0.0005170841,0.00878218,0.00020026682,0.00010392856,0.00007234717,0.0012997359,0.0002184037,0.0049903602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919564,0.0005233126,0.00003385091,0.000106411084,0.00007622123,0.000064607535],"domain_scores_gemma":[0.98585606,0.011966629,0.00047631227,0.00075500977,0.00078366697,0.00016226355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003104507,0.0006528439,0.0013466496,0.0011073126,0.00042544125,0.0021821007,0.0017529624,0.0018414828,0.011681757],"category_scores_gemma":[0.017832696,0.00031519373,0.0013370635,0.0010266727,0.0004256013,0.0021598232,0.0006826122,0.0013047279,0.0012609102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053036795,0.00012295847,0.0019042649,0.000183004,0.00022696334,0.00008107505,0.00004718655,0.9566334,0.0002450939,0.02613324,0.004127472,0.009764953],"study_design_scores_gemma":[0.000101112215,0.000090279,0.00079884846,0.000013555786,0.00006343458,0.00002393593,0.00002949009,0.9881511,0.00025319905,0.0097353915,0.00072221307,0.000017544697],"about_ca_topic_score_codex":0.010814632,"about_ca_topic_score_gemma":0.0047767977,"teacher_disagreement_score":0.011681757,"about_ca_system_score_codex":0.0010180256,"about_ca_system_score_gemma":0.0008245465,"threshold_uncertainty_score":0.039079428},"labels":[],"label_agreement":null},{"id":"W2767119824","doi":"10.5430/afr.v6n4p272","title":"The Effect of Performance on Israeli Equity Fund Flows","year":2017,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Equity (law); Business; Salient; Economics; Finance; Political science","score_opus":0.12126229583912589,"score_gpt":0.35518075882248556,"score_spread":0.23391846298335967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767119824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960012,0.0001830948,0.00009972841,0.00018795067,0.00001522481,0.000003606301,0.00038627366,0.00000814641,0.0031148107],"genre_scores_gemma":[0.9984596,0.00008158006,0.000030218725,0.000012311837,0.00002719098,0.0000022791294,0.00057958596,0.0000025010916,0.0008048216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992224,0.00017332485,0.000066388646,0.0001014439,0.00022272572,0.00021375551],"domain_scores_gemma":[0.990936,0.0037806523,0.0030599318,0.00024695636,0.0009603146,0.0010162116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018067652,0.0002502834,0.00024801292,0.0016027777,0.00028344739,0.0015108867,0.00031219202,0.0005182578,0.0022108562],"category_scores_gemma":[0.0085368045,0.00006854676,0.00023452996,0.0011217229,0.0004378064,0.00063877914,0.00077713374,0.000530958,0.00047897844],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024146652,0.00007384257,0.986735,0.000011286648,0.000066200075,0.00007883421,0.0001418281,0.0010296397,0.00023614823,0.0003438506,0.0005403265,0.010501554],"study_design_scores_gemma":[0.000002811877,0.0000633695,0.997827,0.000008547421,0.000022241604,0.000029574487,0.00021104924,0.00090638193,0.00027069115,0.00007656122,0.00057559647,0.0000062262848],"about_ca_topic_score_codex":0.010135051,"about_ca_topic_score_gemma":0.007244688,"teacher_disagreement_score":0.010135051,"about_ca_system_score_codex":0.0009416434,"about_ca_system_score_gemma":0.00051840156,"threshold_uncertainty_score":0.020152152},"labels":[],"label_agreement":null},{"id":"W2767270163","doi":"","title":"Bubblesandcrashes:Gradientdynamicsinﬁnancial markets","year":2008,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, Davis; Simon Fraser University; National Science Foundation","keywords":"Deleveraging; Leverage (statistics); Capital asset pricing model; Risk premium; Crash; Economics; Business; Monetary economics; Asset (computer security); Econometrics; Financial economics; Finance; Computer science; Debt","score_opus":0.020594164503332218,"score_gpt":0.18112797463620353,"score_spread":0.16053381013287132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767270163","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1674144,0.006335996,0.6229776,0.019759294,0.0012930911,0.00017736587,0.00137764,0.0024567835,0.17820781],"genre_scores_gemma":[0.9473579,0.0016025534,0.019138712,0.00064521213,0.00045754353,0.000118832984,0.00029316123,0.00015720728,0.030228844],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996145,0.000120592485,0.000014382802,0.00007076061,0.000110618195,0.000069162794],"domain_scores_gemma":[0.99889153,0.0004712679,0.00021791342,0.00015107787,0.00013221252,0.00013607081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009747804,0.00046110537,0.00046041142,0.00035909246,0.000631405,0.003013668,0.0009781786,0.0018898426,0.01945673],"category_scores_gemma":[0.00635864,0.0003557824,0.0005734513,0.00033824873,0.0013913376,0.0055638407,0.0013956884,0.0013886614,0.0011393994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007412657,0.000029620454,0.0007921457,0.000037096932,0.000014854254,0.0001852877,0.0001478532,0.023129115,0.0007445144,0.94735414,0.00971021,0.017780934],"study_design_scores_gemma":[0.000054801712,0.000032792323,0.00047901808,0.000022245942,0.0000108134,0.0001486907,0.000050245104,0.18564853,0.0006136386,0.7900288,0.022884479,0.000025902596],"about_ca_topic_score_codex":0.0026535792,"about_ca_topic_score_gemma":0.0014626503,"teacher_disagreement_score":0.01945673,"about_ca_system_score_codex":0.0010040097,"about_ca_system_score_gemma":0.00060246064,"threshold_uncertainty_score":0.065089166},"labels":[],"label_agreement":null},{"id":"W2768064046","doi":"10.2139/ssrn.3060094","title":"How Is Earnings News Transmitted to Stock Prices?","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; HEC Montréal","funders":"","keywords":"Earnings; Stock (firearms); Business; Economics; Monetary economics; Financial economics; Accounting; Engineering","score_opus":0.021526971598559864,"score_gpt":0.22488604760375128,"score_spread":0.2033590760051914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768064046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8938462,0.0039783623,0.007195305,0.015448031,0.0009327779,0.000029885088,0.0014640024,0.0001878336,0.076917626],"genre_scores_gemma":[0.99133235,0.0015300444,0.00043462403,0.0005111077,0.00044132947,0.0000051928173,0.00027735886,0.00004179342,0.0054260828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993705,0.00014753293,0.000045447738,0.00011859805,0.00017845086,0.0001395397],"domain_scores_gemma":[0.9908756,0.0048594917,0.0022193075,0.0004362624,0.001130051,0.0004792858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010412927,0.0002545097,0.00034326105,0.0012691276,0.00040276503,0.0050814715,0.00035265725,0.0013683464,0.00717047],"category_scores_gemma":[0.020939909,0.0004726262,0.00028447155,0.0009809125,0.0007260359,0.003574228,0.0006478031,0.0014028075,0.001890843],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015561337,0.00077591464,0.48390684,0.00053394673,0.0011053536,0.0024701518,0.004246653,0.014309861,0.015747882,0.1081056,0.032803904,0.33443782],"study_design_scores_gemma":[0.00023356815,0.00050439994,0.7283674,0.00044308318,0.00081050565,0.00086249004,0.005356942,0.032324318,0.011081888,0.18159288,0.03818516,0.00023732484],"about_ca_topic_score_codex":0.0035023268,"about_ca_topic_score_gemma":0.0018200064,"teacher_disagreement_score":0.00717047,"about_ca_system_score_codex":0.00065906445,"about_ca_system_score_gemma":0.0005774532,"threshold_uncertainty_score":0.023987591},"labels":[],"label_agreement":null},{"id":"W2768862372","doi":"10.5430/ijba.v8n7p154","title":"Understanding Belgian Individual Investors: Complementarity of Qualitative and Quantitative Methodologies in a Grounded Theory Approach","year":2017,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Grounded theory; Complementarity (molecular biology); Intermediary; Perception; Qualitative research; Qualitative property; Investment (military); Investment decisions; Quantitative analysis (chemistry); Investment banking; Finance; Business; Marketing; Economics; Sociology; Psychology; Behavioral economics; Computer science; Social science; Political science","score_opus":0.6039899495789471,"score_gpt":0.4257035203231351,"score_spread":0.17828642925581206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768862372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26372427,0.023434263,0.6062111,0.020850603,0.0005876067,0.00457653,0.0009846098,0.0002327151,0.07939832],"genre_scores_gemma":[0.7505335,0.0034203355,0.23922272,0.0014330889,0.000045794946,0.0022324766,0.0002249633,0.00005862382,0.0028284926],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9431522,0.050899014,0.0010399155,0.0011891916,0.00251527,0.001204479],"domain_scores_gemma":[0.9589357,0.03546656,0.0011986191,0.0012441216,0.002692107,0.00046301162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.067382894,0.00085793587,0.0011722656,0.007304372,0.004475755,0.010065725,0.0019297191,0.0017725123,0.0025442408],"category_scores_gemma":[0.029188666,0.00055390334,0.0005744644,0.0075152135,0.012105311,0.0058248728,0.0037392161,0.0019258783,0.00026379406],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011294836,0.00016486242,0.0049867462,0.0018242785,0.00008780351,0.0005276946,0.5675763,0.0020220287,0.0014779516,0.28693733,0.0020847877,0.13219729],"study_design_scores_gemma":[0.00007576194,0.00015265544,0.0061568683,0.0050766463,0.00010619883,0.00034608712,0.6321136,0.0040290756,0.0018182554,0.2064834,0.14355071,0.0000907996],"about_ca_topic_score_codex":0.0299604,"about_ca_topic_score_gemma":0.033357367,"teacher_disagreement_score":0.067382894,"about_ca_system_score_codex":0.01769544,"about_ca_system_score_gemma":0.01650826,"threshold_uncertainty_score":0.35635906},"labels":[],"label_agreement":null},{"id":"W2768877972","doi":"10.1111/jifm.12105","title":"Effects of the short sale circuit breaker on the stock market","year":2019,"lang":"en","type":"article","venue":"Journal of International Financial Management and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Circuit breaker; Monetary economics; Market liquidity; Stock (firearms); Economics; Volatility (finance); Business; Stock market; Financial economics; Electrical engineering; Engineering; Biology","score_opus":0.011257274888124173,"score_gpt":0.18956591437496234,"score_spread":0.17830863948683817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768877972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968425,0.00032009545,0.00018023253,0.00022367263,0.000036185895,0.000009840666,0.00015977815,0.000027965385,0.0021996817],"genre_scores_gemma":[0.9991635,0.00011335162,0.000057009605,0.00007277669,0.000027074848,0.0000025918175,0.00008645174,0.0000024178357,0.00047492355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997482,0.000055017117,0.000020625772,0.000039644387,0.00008753743,0.000048995713],"domain_scores_gemma":[0.9951923,0.002186294,0.0017312575,0.00024467777,0.00028447967,0.00036104603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033958512,0.00018434039,0.00025115756,0.00034600563,0.00021082436,0.00072225626,0.0002265218,0.0006917568,0.005511218],"category_scores_gemma":[0.0031586299,0.00006968771,0.00025293248,0.000252597,0.00034663177,0.00027895122,0.00027053023,0.0007023896,0.00033662672],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.027054705,0.0077135153,0.49397022,0.0006136774,0.0013244773,0.004813328,0.00050313957,0.016904544,0.2707695,0.005876856,0.008786629,0.16166943],"study_design_scores_gemma":[0.00052572315,0.011429861,0.9303058,0.00004906529,0.00045663037,0.00076630816,0.00033962782,0.0067403587,0.039197356,0.0021758683,0.007940318,0.00007322065],"about_ca_topic_score_codex":0.0026251888,"about_ca_topic_score_gemma":0.0026725053,"teacher_disagreement_score":0.005511218,"about_ca_system_score_codex":0.00045567434,"about_ca_system_score_gemma":0.0001665384,"threshold_uncertainty_score":0.018436909},"labels":[],"label_agreement":null},{"id":"W2769003236","doi":"10.2139/ssrn.3189810","title":"Variance Premium, Downside Risk, and Expected Stock Returns","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"University of Reading","keywords":"Downside risk; Risk premium; Variance risk premium; Stock (firearms); Economics; Econometrics; Financial economics; Variance (accounting); Volatility risk premium; Business; Volatility (finance); Portfolio; Geography; Stochastic volatility","score_opus":0.017824368305505604,"score_gpt":0.21891240455790192,"score_spread":0.20108803625239632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769003236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892741,0.001183004,0.006187401,0.0006748089,0.000030459736,0.000006804586,0.00008246528,0.000032901833,0.0025281166],"genre_scores_gemma":[0.99901545,0.00019948499,0.00017620361,0.000017258364,0.00004695589,0.0000014422415,0.000041922412,0.0000040504206,0.00049725093],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962103,0.00010422841,0.000026768657,0.00007202402,0.00009168576,0.000084250074],"domain_scores_gemma":[0.98377866,0.011193271,0.0030099314,0.0005695506,0.0004902499,0.00095841376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002150631,0.00039809637,0.00043612396,0.00086726795,0.00017753831,0.0019202251,0.00038361404,0.0012957273,0.0030522863],"category_scores_gemma":[0.025775911,0.00029387954,0.00047434578,0.00047945417,0.00087893975,0.0020283677,0.0006577903,0.0014818339,0.00026534233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016439306,0.00060843886,0.8201129,0.00012488256,0.0005824545,0.0013274441,0.0005466576,0.04039885,0.006117177,0.08638017,0.0020453138,0.0401117],"study_design_scores_gemma":[0.000108425134,0.00043906888,0.6616738,0.00005574051,0.00032928563,0.001078911,0.00038234374,0.15099074,0.0010283521,0.1830497,0.0007712939,0.00009242793],"about_ca_topic_score_codex":0.001493305,"about_ca_topic_score_gemma":0.0014361911,"teacher_disagreement_score":0.0030522863,"about_ca_system_score_codex":0.00047485947,"about_ca_system_score_gemma":0.00035339044,"threshold_uncertainty_score":0.011373699},"labels":[],"label_agreement":null},{"id":"W2769061003","doi":"10.1111/jfir.12187","title":"MEASURING LIMITS OF ARBITRAGE IN FIXED‐INCOME MARKETS","year":2019,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Arbitrage; Index arbitrage; Index (typography); Volatility (finance); Proxy (statistics); Economics; Econometrics; Fixed income; Relative value; Fixed income arbitrage; Financial economics; Risk arbitrage; Statistics; Mathematics; Arbitrage pricing theory; Finance; Computer science; Capital asset pricing model","score_opus":0.12616156575757378,"score_gpt":0.2981534014277118,"score_spread":0.171991835670138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769061003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84959835,0.0014583842,0.13650821,0.00045286736,0.000052969623,0.00006299128,0.00035249442,0.00018917411,0.011324509],"genre_scores_gemma":[0.9965977,0.00008325192,0.0030392683,0.000010610643,0.00001857318,0.000011446512,0.000069700494,0.0000074554873,0.00016200983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9959728,0.0016133956,0.0004060202,0.0004985613,0.0013056241,0.00020353914],"domain_scores_gemma":[0.9217616,0.047696583,0.01921234,0.0059150127,0.003657446,0.0017571402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00858987,0.00047673646,0.0009777662,0.0026478977,0.0004508175,0.0048190923,0.0012492905,0.0011747925,0.0017939028],"category_scores_gemma":[0.0799893,0.00035912704,0.00050838786,0.0019109952,0.0025968368,0.0059126974,0.0025323178,0.0013067076,0.000218549],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096390274,0.00030817013,0.30353156,0.00032329696,0.00086294865,0.0006866235,0.0014876015,0.24820448,0.0060237832,0.33653417,0.0023871742,0.09868624],"study_design_scores_gemma":[0.000050551076,0.0002804884,0.0771848,0.00019378097,0.00008559527,0.00036190313,0.00044103776,0.5456824,0.0052100783,0.3671001,0.0032510739,0.00015828994],"about_ca_topic_score_codex":0.0012516261,"about_ca_topic_score_gemma":0.0005089054,"teacher_disagreement_score":0.00858987,"about_ca_system_score_codex":0.000899036,"about_ca_system_score_gemma":0.0005366118,"threshold_uncertainty_score":0.045428097},"labels":[],"label_agreement":null},{"id":"W2769407143","doi":"10.2139/ssrn.3069952","title":"Comparing Asset Pricing Models: Distance-Based Metrics and Bayesian Interpretations","year":2017,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Frequentist inference; Econometrics; Capital asset pricing model; Bayesian probability; Mean squared error; Statistics; Bayes factor; Complement (music); Mathematics; Economics; Bayesian inference","score_opus":0.04527262672721535,"score_gpt":0.24644594701772596,"score_spread":0.2011733202905106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769407143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07131582,0.0014258327,0.9216411,0.0011627662,0.00007063919,0.000057464098,0.00029873842,0.00018313921,0.0038444507],"genre_scores_gemma":[0.78468055,0.0020462382,0.20980936,0.0003060521,0.00027803952,0.00021446211,0.0011060729,0.00023020891,0.0013290291],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9879225,0.008020719,0.0007294169,0.0010578658,0.0019750374,0.00029442288],"domain_scores_gemma":[0.941243,0.045786675,0.0038571511,0.004963141,0.0028783428,0.0012716185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018721163,0.0015607895,0.0023467545,0.0053972006,0.0009435567,0.0076939324,0.0025903028,0.0042810775,0.002643562],"category_scores_gemma":[0.08916179,0.0010460065,0.0021308793,0.003831211,0.0026781962,0.01178426,0.004550099,0.0036605317,0.0005526798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025316092,0.0001688219,0.008904065,0.00024023054,0.00043094918,0.0001250395,0.0006386728,0.32878765,0.00072253426,0.5735623,0.0025419928,0.08362459],"study_design_scores_gemma":[0.000017808272,0.000064965,0.0009833364,0.000046304096,0.00004687128,0.000062948835,0.000071493545,0.5238258,0.00016811154,0.47374925,0.0009275947,0.0000354074],"about_ca_topic_score_codex":0.0020167055,"about_ca_topic_score_gemma":0.001351344,"teacher_disagreement_score":0.018721163,"about_ca_system_score_codex":0.0022112643,"about_ca_system_score_gemma":0.0013248628,"threshold_uncertainty_score":0.09900814},"labels":[],"label_agreement":null},{"id":"W2769413271","doi":"10.1007/s11142-017-9430-2","title":"Fundamental analysis of banks: the use of financial statement information to screen winners from losers","year":2017,"lang":"en","type":"article","venue":"Review of Accounting Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Corporate finance; Earnings; Profitability index; Economics; Stock exchange; Stock (firearms); Valuation (finance); Financial statement; Index (typography); Sample (material); Listing (finance); Business; Financial economics; Econometrics; Actuarial science; Finance; Accounting; Computer science","score_opus":0.10562314808869235,"score_gpt":0.30678716048334265,"score_spread":0.20116401239465032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769413271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5701919,0.10837285,0.18133222,0.07051175,0.0025001778,0.00040903155,0.0042620967,0.00080526696,0.061614588],"genre_scores_gemma":[0.96988565,0.012130283,0.012503921,0.0008885311,0.0010461217,0.000043665827,0.00064965576,0.000029421357,0.0028227095],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99805367,0.0008137913,0.00011993512,0.00021483167,0.0006181676,0.00017960217],"domain_scores_gemma":[0.9862481,0.0068856156,0.0028955734,0.0006677938,0.002793527,0.000509265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00627472,0.00056311203,0.00087995623,0.003124495,0.0007096258,0.003528076,0.0013699399,0.0012829212,0.0024903764],"category_scores_gemma":[0.024177466,0.00026613157,0.00044164553,0.0024451925,0.0014816752,0.003384835,0.00092591316,0.0014620362,0.00047232892],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007731902,0.00035636162,0.14268303,0.0012262719,0.00047576526,0.00024117832,0.000872112,0.013262342,0.003147096,0.18929735,0.049064513,0.59860075],"study_design_scores_gemma":[0.00020129171,0.00046636822,0.17714557,0.0011299063,0.00047460964,0.0007282638,0.0018115944,0.11918943,0.0071409075,0.6354951,0.056022104,0.00019485688],"about_ca_topic_score_codex":0.0035664046,"about_ca_topic_score_gemma":0.0025325648,"teacher_disagreement_score":0.00627472,"about_ca_system_score_codex":0.0009900734,"about_ca_system_score_gemma":0.002917052,"threshold_uncertainty_score":0.03318429},"labels":[],"label_agreement":null},{"id":"W2769842564","doi":"10.1007/978-3-319-69725-3_14","title":"Securities Market Applications: Stock Market Valuation of Securities and Financial Services – Insights with DEA","year":2017,"lang":"en","type":"book-chapter","venue":"International series in management science/operations research/International series in operations research & management science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Valuation (finance); Stock market; Finance; Security market; Hybrid security; Financial system; Broker-dealer; Financial market; Financial economics; Economics","score_opus":0.059717166678543834,"score_gpt":0.33390527979034995,"score_spread":0.27418811311180613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769842564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04179931,0.054550793,0.6001734,0.009957935,0.0022597432,0.00019114476,0.0047456683,0.0022837042,0.28403834],"genre_scores_gemma":[0.51832753,0.061344273,0.2482568,0.00097281684,0.004574431,0.00023232405,0.00886364,0.0016000057,0.15582804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949694,0.00013899419,0.000049550643,0.000064668886,0.00022574133,0.000024024595],"domain_scores_gemma":[0.9981913,0.0008929663,0.00014478457,0.0003060042,0.0004105172,0.000054393717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001348937,0.0010523755,0.00055253186,0.0013908797,0.0003024248,0.002930547,0.00096073863,0.0008890628,0.01584229],"category_scores_gemma":[0.0075217145,0.00046873628,0.00052467186,0.0034556724,0.00040147718,0.004322974,0.00088005763,0.0018826195,0.0056145815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004226856,0.00010073677,0.0028512157,0.00026678017,0.000057568242,0.000176996,0.000118747426,0.02076268,0.0014621137,0.46867335,0.080331795,0.42515573],"study_design_scores_gemma":[0.000014174406,0.000030538096,0.0050807237,0.00022298981,0.000044731773,0.0005758114,0.00010732755,0.2716437,0.002598972,0.5051191,0.21451896,0.000042901447],"about_ca_topic_score_codex":0.0016383429,"about_ca_topic_score_gemma":0.0016365695,"teacher_disagreement_score":0.01584229,"about_ca_system_score_codex":0.0006167887,"about_ca_system_score_gemma":0.00074534427,"threshold_uncertainty_score":0.05299771},"labels":[],"label_agreement":null},{"id":"W2770356950","doi":"","title":"Informed Bank Debt and Stock Returns","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Loan; Business; Debt; Stock (firearms); Earnings; Equity (law); Monetary economics; Private information retrieval; Financial system; Finance; Economics","score_opus":0.01200114767376421,"score_gpt":0.2033996091898663,"score_spread":0.1913984615161021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770356950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915684,0.0014546898,0.0005830149,0.00069262204,0.000012614023,0.000007845248,0.000795698,0.000018083976,0.004867053],"genre_scores_gemma":[0.9983918,0.00046219342,0.00006933963,0.00004300213,0.00002814278,0.0000021600497,0.00026734045,0.0000017545946,0.0007342547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973005,0.000086958156,0.000034318426,0.000043068103,0.00007150446,0.0000341178],"domain_scores_gemma":[0.9847895,0.005362884,0.008291682,0.0006913482,0.00038656665,0.00047809302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008245698,0.00021053207,0.00027617897,0.0007640415,0.00017089299,0.0020036222,0.00019305167,0.0006930643,0.004635294],"category_scores_gemma":[0.011487695,0.00020071707,0.0001308661,0.0010792043,0.00032296937,0.0012256048,0.0004402471,0.00074607093,0.0006611018],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005899508,0.00024986378,0.9471903,0.00007002189,0.00033533058,0.00042009365,0.0003381471,0.0048498046,0.00079116365,0.0069237733,0.0018210225,0.03642049],"study_design_scores_gemma":[0.000046110952,0.000108554115,0.9680646,0.000045087105,0.000113371134,0.00038542415,0.0002492288,0.008276587,0.00053198525,0.019612169,0.0025373753,0.000029481473],"about_ca_topic_score_codex":0.0022103018,"about_ca_topic_score_gemma":0.0028956726,"teacher_disagreement_score":0.004635294,"about_ca_system_score_codex":0.00048046184,"about_ca_system_score_gemma":0.00023657322,"threshold_uncertainty_score":0.015506625},"labels":[],"label_agreement":null},{"id":"W2770470402","doi":"10.5539/ijef.v9n12p126","title":"VPIN and the China’s Circuit-Breaker","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nanjing University; Nanjing University of Aeronautics and Astronautics","keywords":"Futures contract; Market liquidity; Financial economics; Algorithmic trading; High-frequency trading; China; Economics; Open outcry; Stock market; Market microstructure; Business; Empirical research; Alternative trading system; Monetary economics; Finance; Order (exchange)","score_opus":0.027088530406217073,"score_gpt":0.22204972196765238,"score_spread":0.19496119156143532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770470402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99280095,0.0005557761,0.0031795842,0.00024656983,0.000014302514,0.000008382114,0.00017325225,0.000035014025,0.0029860686],"genre_scores_gemma":[0.99948287,0.000072226394,0.00012490484,0.000010029538,0.000006500821,0.0000014224097,0.000059925766,0.0000018157399,0.00024017446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971694,0.000040402683,0.000016864735,0.00007640848,0.000102024846,0.000047279962],"domain_scores_gemma":[0.99815553,0.0005097019,0.00091698364,0.00007357283,0.00023325185,0.000111075235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054433726,0.00024138764,0.0001713005,0.0008960066,0.00026380765,0.0009867088,0.00034866558,0.00039704732,0.0016510206],"category_scores_gemma":[0.0026590445,0.00012933328,0.00017836396,0.00062945765,0.0003904769,0.0009882456,0.00042248573,0.000374173,0.00010964473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005543889,0.000091618225,0.8636272,0.00016177015,0.0002995938,0.0022802853,0.0005498588,0.057529002,0.008681324,0.01999448,0.002258656,0.04397172],"study_design_scores_gemma":[0.000043230782,0.00026206148,0.7225545,0.000052016097,0.0001585407,0.0008486534,0.0003902785,0.24879403,0.0065408554,0.015030079,0.00525224,0.0000733681],"about_ca_topic_score_codex":0.004883153,"about_ca_topic_score_gemma":0.0033533466,"teacher_disagreement_score":0.004883153,"about_ca_system_score_codex":0.00070906134,"about_ca_system_score_gemma":0.0002453035,"threshold_uncertainty_score":0.009709418},"labels":[],"label_agreement":null},{"id":"W2770488149","doi":"10.2139/ssrn.3063120","title":"Technology Spillovers, Information Externality, and Stock Price Crash Risk","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Externality; Crash; Stock price; Stock (firearms); Business; Economics; Financial economics; Microeconomics; Engineering; Computer science","score_opus":0.011384493354240917,"score_gpt":0.2140095862811997,"score_spread":0.2026250929269588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770488149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877699,0.0010210662,0.0032297103,0.000969163,0.000018975814,0.000022989549,0.00019173961,0.000024120545,0.006752364],"genre_scores_gemma":[0.99875414,0.00040385014,0.000105664636,0.000028252833,0.00002876159,0.000003974324,0.00005123016,0.0000014659577,0.00062262337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967194,0.00009295528,0.000029118031,0.000060349095,0.00005457257,0.00009107698],"domain_scores_gemma":[0.98531544,0.008102788,0.0044557876,0.00062870415,0.0005657437,0.00093149673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014724041,0.00024824595,0.00048564858,0.0012282231,0.00027833783,0.002088496,0.00026182062,0.0012472977,0.0068251574],"category_scores_gemma":[0.014598442,0.00021452027,0.0004196481,0.0010089615,0.0006897177,0.002986392,0.001291021,0.0010612104,0.00042935784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015687634,0.0008156804,0.8031844,0.00020936962,0.0006120387,0.0017224732,0.0008094238,0.06289218,0.003152035,0.07197497,0.002543374,0.050515354],"study_design_scores_gemma":[0.00018547499,0.00094485714,0.74835557,0.00011743589,0.0007045401,0.0011553328,0.0018938368,0.090982266,0.001654054,0.15114944,0.002745551,0.00011170984],"about_ca_topic_score_codex":0.0016476285,"about_ca_topic_score_gemma":0.0012971256,"teacher_disagreement_score":0.0068251574,"about_ca_system_score_codex":0.00053422723,"about_ca_system_score_gemma":0.0003348776,"threshold_uncertainty_score":0.022832394},"labels":[],"label_agreement":null},{"id":"W2770898820","doi":"10.5430/afr.v7n1p109","title":"The Relationship Between Earnings-to-Price, Current Ratio, Profit Margin and Return: An Empirical Analysis on Istanbul Stock Exchange","year":2017,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Stock exchange; Econometrics; Stock (firearms); Estimator; Earnings; Profit margin; Panel data; Financial economics; Statistics; Finance; Mathematics","score_opus":0.21662556539749941,"score_gpt":0.3997199688725611,"score_spread":0.1830944034750617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770898820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987747,0.00025410403,0.000060753922,0.00007789985,0.0000048598426,0.000003986732,0.00037782357,0.000003992226,0.00044189917],"genre_scores_gemma":[0.9974625,0.00029444226,0.00006933153,0.000020142232,0.00002089252,0.0000054916386,0.0016150246,0.0000024370484,0.00050970516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996997,0.00004481575,0.000037313243,0.00006136047,0.00007784546,0.000079017904],"domain_scores_gemma":[0.9985232,0.00043558324,0.0006278707,0.000084425716,0.00016675309,0.00016211181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081121165,0.00036206763,0.0003969784,0.0015245206,0.00031712852,0.0009961434,0.00038027187,0.00042998797,0.0025045339],"category_scores_gemma":[0.001033114,0.00017081854,0.0005229845,0.0016852482,0.00034743256,0.0007824901,0.00050281844,0.00062660675,0.0005507822],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012280974,0.00014265512,0.993052,0.000025294157,0.000097431446,0.0004442238,0.00015871736,0.0007658163,0.00024619862,0.00023085777,0.00055841776,0.0041556484],"study_design_scores_gemma":[0.0000072246216,0.00008050948,0.9958734,0.00001427782,0.000054414537,0.00013138146,0.00039867894,0.0026822463,0.00019986143,0.00007039951,0.0004787322,0.000008797149],"about_ca_topic_score_codex":0.013601906,"about_ca_topic_score_gemma":0.01579991,"teacher_disagreement_score":0.013601906,"about_ca_system_score_codex":0.0005433578,"about_ca_system_score_gemma":0.0004226783,"threshold_uncertainty_score":0.027045429},"labels":[],"label_agreement":null},{"id":"W2770921054","doi":"10.3905/jpm.2015.41.4.068","title":"Implied Expected Returns and the Choice of a Mean–Variance Efficient Portfolio Proxy","year":2015,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Portfolio; Proxy (statistics); Variance (accounting); Econometrics; Economics; Covariance matrix; Variance risk premium; Market portfolio; Covariance; Modern portfolio theory; Portfolio optimization; Mathematics; Financial economics; Statistics; Volatility (finance); Stochastic volatility; Volatility risk premium","score_opus":0.03217452433740626,"score_gpt":0.23168953228228983,"score_spread":0.19951500794488358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770921054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76815397,0.0015545031,0.21439607,0.0019272435,0.00009253835,0.00007433254,0.0010401981,0.00029151118,0.012469491],"genre_scores_gemma":[0.987217,0.00031010094,0.01120707,0.000052727682,0.000049118134,0.00002131076,0.00056454836,0.000021143183,0.0005570128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978968,0.0009338407,0.00023455256,0.00026078863,0.0005452184,0.00012873115],"domain_scores_gemma":[0.967309,0.022702005,0.0056251455,0.0024438582,0.0016918508,0.00022810839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063526053,0.00039614257,0.00064405776,0.0012543501,0.00018792925,0.0030941984,0.00079949945,0.0010490873,0.0013563056],"category_scores_gemma":[0.06025621,0.00030805304,0.00054468605,0.0020920667,0.00071475137,0.0031858073,0.0008472819,0.0010227852,0.0002813637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096119347,0.00023812283,0.21368834,0.0003922879,0.0008318742,0.0005787326,0.00031229097,0.3938303,0.011999907,0.22561237,0.005632697,0.14592187],"study_design_scores_gemma":[0.000060921917,0.00030399696,0.108527154,0.00013667553,0.00020594469,0.00040867762,0.00019290927,0.7634635,0.015331548,0.10687191,0.0043423777,0.0001543854],"about_ca_topic_score_codex":0.00080980913,"about_ca_topic_score_gemma":0.00078858144,"teacher_disagreement_score":0.0063526053,"about_ca_system_score_codex":0.00095076306,"about_ca_system_score_gemma":0.00038738784,"threshold_uncertainty_score":0.033596158},"labels":[],"label_agreement":null},{"id":"W2771157935","doi":"10.1108/cfri-10-2017-0212","title":"On the survival of earnings fixated traders in an informational environment","year":2017,"lang":"en","type":"article","venue":"China Finance Review International","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Irrational number; Earnings; Economics; Stochastic game; Financial economics; Rational expectations; Asset (computer security); Microeconomics; Intuition; Finance; Econometrics","score_opus":0.04445956394213983,"score_gpt":0.24993766061454728,"score_spread":0.20547809667240746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771157935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97324467,0.0005945524,0.017257836,0.0009735198,0.000022360662,0.000034195582,0.00014787567,0.00003880736,0.007686031],"genre_scores_gemma":[0.9971482,0.00019885311,0.00084334915,0.00006806907,0.000016530488,0.000014078404,0.00004940046,0.0000057185725,0.0016559009],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994618,0.00012930577,0.000030599524,0.0001407448,0.00008296803,0.00015452367],"domain_scores_gemma":[0.985967,0.0057527525,0.0056961114,0.0007795791,0.0007720122,0.0010324907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028012719,0.0003149702,0.0005877435,0.00057109306,0.0011138205,0.0023842573,0.00072555005,0.0013135963,0.006994053],"category_scores_gemma":[0.018332293,0.00017908517,0.00044529734,0.0003748392,0.0019324356,0.0029191137,0.0017981526,0.0017198708,0.0005856139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019393163,0.00074708066,0.4639489,0.00039585086,0.0003560822,0.0054855063,0.00424211,0.07610972,0.011468256,0.34372884,0.0034269395,0.08815142],"study_design_scores_gemma":[0.00020293567,0.0021718957,0.2003936,0.00023284968,0.0005729847,0.002861467,0.0071982704,0.32888842,0.006412693,0.4446635,0.006057685,0.00034370986],"about_ca_topic_score_codex":0.0018774708,"about_ca_topic_score_gemma":0.001670577,"teacher_disagreement_score":0.006994053,"about_ca_system_score_codex":0.0009907188,"about_ca_system_score_gemma":0.0007937998,"threshold_uncertainty_score":0.023397386},"labels":[],"label_agreement":null},{"id":"W2771616880","doi":"10.5430/ijba.v9n1p1","title":"Theoretical Profiles for the Evaluation of Insider Trading in a Functional Model of Financial Instruments Market","year":2017,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Insider trading; Inefficiency; Insider; Transparency (behavior); Capital market; Business; Premise; Information asymmetry; Economics; Market manipulation; Microeconomics; Accounting; Financial economics; Monetary economics; Finance; Computer science; Law","score_opus":0.10841464470157816,"score_gpt":0.30452609883416903,"score_spread":0.19611145413259087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771616880","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033699926,0.0012360755,0.9151232,0.002097021,0.000082231614,0.000118823824,0.00014335773,0.00008879833,0.04741048],"genre_scores_gemma":[0.8769019,0.0025079993,0.10441228,0.000371393,0.00048933004,0.00070002605,0.00023963868,0.00013640522,0.014240975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981516,0.001177265,0.0000716692,0.00013031987,0.0003263708,0.00014280497],"domain_scores_gemma":[0.9951261,0.0034548042,0.00042829599,0.00028868916,0.00044488808,0.0002572608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004716746,0.0014459174,0.0012062686,0.0025288286,0.0010168009,0.0038809283,0.002313666,0.0028519863,0.008421045],"category_scores_gemma":[0.011605367,0.00049870723,0.0023669198,0.0009799514,0.003137212,0.0038969691,0.0021122782,0.0021296518,0.0007227307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001022514,0.00003618329,0.00040359047,0.00006444349,0.000021403366,0.00010690524,0.000098414086,0.054023698,0.0004093029,0.942513,0.00039369165,0.001919194],"study_design_scores_gemma":[0.000008865032,0.000047639798,0.00026617883,0.000048179252,0.000017053902,0.000076508826,0.000061559054,0.6213834,0.000114270915,0.37669295,0.0012679725,0.00001547359],"about_ca_topic_score_codex":0.0019188328,"about_ca_topic_score_gemma":0.0010303805,"teacher_disagreement_score":0.008421045,"about_ca_system_score_codex":0.0023453985,"about_ca_system_score_gemma":0.0018419685,"threshold_uncertainty_score":0.028171182},"labels":[],"label_agreement":null},{"id":"W2771694615","doi":"10.1561/1400000042","title":"Financial Analysts and Their Contribution to Well-Functioning Capital Markets","year":2017,"lang":"en","type":"book","venue":"Foundations and Trends® in Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Capital (architecture); Capital market; Financial capital; Business; Set (abstract data type); Economic capital; Individual capital; Financial market; Finance; Economics; Human capital; Market economy","score_opus":0.018448143939863642,"score_gpt":0.2282845864265541,"score_spread":0.20983644248669048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771694615","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075979754,0.37673688,0.009530672,0.28723308,0.015456252,0.00004426755,0.00023492042,0.00020596033,0.30295995],"genre_scores_gemma":[0.29463428,0.48199293,0.015099909,0.033319537,0.043701258,0.000084624655,0.00027636514,0.00029907087,0.13059197],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969649,0.0009891087,0.0001636035,0.00026884105,0.0013930973,0.0002204055],"domain_scores_gemma":[0.98251843,0.011207418,0.0013581535,0.00090812077,0.0030208891,0.0009869419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066679427,0.0005341578,0.00035803058,0.0029304652,0.0014390546,0.014183089,0.0007201895,0.0035185535,0.010017986],"category_scores_gemma":[0.025761368,0.00031972348,0.00025416052,0.0031795895,0.006211951,0.01122367,0.002602768,0.005833566,0.002711418],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001975153,0.000018432727,0.0010299247,0.00025947168,0.0000124073495,0.00010290464,0.001201015,0.00033805132,0.00013455091,0.709248,0.1223437,0.16529186],"study_design_scores_gemma":[0.00000678454,0.000007844749,0.0008228937,0.0006385224,0.0000083427385,0.00017256258,0.0004072922,0.0003322777,0.00016924864,0.37956914,0.6178435,0.000021574138],"about_ca_topic_score_codex":0.0017158883,"about_ca_topic_score_gemma":0.0018779455,"teacher_disagreement_score":0.014183089,"about_ca_system_score_codex":0.0032730615,"about_ca_system_score_gemma":0.0056294887,"threshold_uncertainty_score":0.035263896},"labels":[],"label_agreement":null},{"id":"W2772334984","doi":"10.5430/ijfr.v9n1p74","title":"Market Fragmentation, Market Quality and Clientele Effects","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Order (exchange); Financial economics; Flash trading; Market depth; Sample (material); Business; Market maker; Monetary economics; Stock market; Economics; Stock (firearms); Algorithmic trading; Open outcry; Alternative trading system; Finance","score_opus":0.11780833051628795,"score_gpt":0.39965669118917085,"score_spread":0.2818483606728829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772334984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957995,0.0002913266,0.00054813846,0.00007816178,0.0000018118075,0.000015394637,0.00006788003,0.000008200644,0.0031896804],"genre_scores_gemma":[0.99943906,0.000046155157,0.00013017064,0.000009796141,0.0000072812895,0.0000028095417,0.00006365999,0.000003367995,0.00029771478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809855,0.0004540628,0.00015957205,0.00023900723,0.0007448743,0.00030396838],"domain_scores_gemma":[0.9553627,0.021784622,0.014938977,0.0026025118,0.0018532493,0.0034579728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023660294,0.00023506387,0.0007241136,0.002816703,0.000742671,0.0025567077,0.0006068477,0.0005749223,0.010970008],"category_scores_gemma":[0.02407045,0.00023845187,0.00040842997,0.0022883639,0.0015499494,0.0023123282,0.0026973663,0.00083796465,0.0006657924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046851384,0.00023319492,0.9777915,0.000042333217,0.00016368693,0.00027672623,0.0006299846,0.0013216609,0.0011472221,0.0022110217,0.00014256714,0.015571523],"study_design_scores_gemma":[0.00004171772,0.00019431087,0.9931805,0.00001560966,0.000058133646,0.00031708324,0.0007042216,0.002337713,0.00045742642,0.0023480647,0.0003301725,0.0000149574735],"about_ca_topic_score_codex":0.0028631343,"about_ca_topic_score_gemma":0.0045463424,"teacher_disagreement_score":0.010970008,"about_ca_system_score_codex":0.0008614029,"about_ca_system_score_gemma":0.0003678956,"threshold_uncertainty_score":0.03669828},"labels":[],"label_agreement":null},{"id":"W2772945828","doi":"10.5539/ijef.v10n1p46","title":"A Revisit of the Cross-Section of Overnight and Intraday Abnormal Returns: Evidence from the Japanese REIT Market","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Real estate investment trust; Monetary economics; Economics; Abnormal return; Stock (firearms); Excess return; Surprise; Financial economics; Business; Stock exchange; Real estate; Finance","score_opus":0.030560543571267893,"score_gpt":0.24466637869902352,"score_spread":0.21410583512775563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772945828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973846,0.00050293055,0.0003402693,0.000120553304,0.000011005091,0.0000060186926,0.00011880842,0.000011258616,0.0015045499],"genre_scores_gemma":[0.9989698,0.0002664813,0.00013650481,0.00003125468,0.000049428014,0.0000018333027,0.00023965268,0.0000072177645,0.0002978331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995828,0.000061644896,0.00005685931,0.00007791932,0.00015667858,0.00006403732],"domain_scores_gemma":[0.99246687,0.0019250123,0.003332794,0.0007129607,0.0011529961,0.0004093646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012175257,0.00027154526,0.00037339976,0.0016853566,0.00037820337,0.001235552,0.00039008996,0.00048394475,0.0016046071],"category_scores_gemma":[0.0052213985,0.00022802633,0.00047441633,0.001264225,0.0005137461,0.0014890564,0.00063023384,0.0007056651,0.00030646127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007399002,0.00027686442,0.94794434,0.0001302069,0.00035404306,0.0025595566,0.0012773525,0.001057432,0.012021798,0.0018629768,0.0015443885,0.030230956],"study_design_scores_gemma":[0.000016083173,0.00011938153,0.9925833,0.000009688167,0.00012053376,0.0004947595,0.00057646673,0.0029990727,0.0014125073,0.00038599872,0.0012542802,0.000027967068],"about_ca_topic_score_codex":0.0067343055,"about_ca_topic_score_gemma":0.0064529767,"teacher_disagreement_score":0.0067343055,"about_ca_system_score_codex":0.0003280087,"about_ca_system_score_gemma":0.00023684224,"threshold_uncertainty_score":0.013390243},"labels":[],"label_agreement":null},{"id":"W2773820807","doi":"10.5430/ijfr.v9n1p1","title":"Monday Effect in the Chinese Stock Market","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thursday; Mainland China; Stock market; China; Names of the days of the week; Equity (law); Stock (firearms); Stock market index; Economics; Financial economics; Business; Geography; Political science","score_opus":0.0655160825434291,"score_gpt":0.3697964004455339,"score_spread":0.3042803179021048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773820807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98636013,0.0015834713,0.00086854456,0.00038102324,0.00006309165,0.0000321449,0.0004913912,0.000028265777,0.010191933],"genre_scores_gemma":[0.99831676,0.00032304766,0.00015203214,0.000035650428,0.000042855736,0.000007047448,0.00018802685,0.0000036021556,0.0009310211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946934,0.00009153512,0.000053152733,0.000093259616,0.0002118505,0.000080857695],"domain_scores_gemma":[0.9967244,0.0010183932,0.0012806745,0.00026588744,0.00042749182,0.0002831785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013595464,0.00019925056,0.00035119444,0.001500665,0.0005841071,0.0012030074,0.00027017863,0.00026366458,0.0035591119],"category_scores_gemma":[0.006422815,0.000121820245,0.0005207133,0.0018130143,0.00071709906,0.000950696,0.0005068035,0.00043836996,0.00019844856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082818157,0.00012208715,0.90924454,0.00030699262,0.00029706603,0.0016140059,0.0015966732,0.0031022148,0.0040042116,0.019172722,0.0044441354,0.05526719],"study_design_scores_gemma":[0.000011005361,0.000087903914,0.9916386,0.00001766109,0.00005423112,0.00017065466,0.00027205364,0.0030842142,0.0005531632,0.001266873,0.0028229556,0.000020780817],"about_ca_topic_score_codex":0.017665792,"about_ca_topic_score_gemma":0.014691191,"teacher_disagreement_score":0.017665792,"about_ca_system_score_codex":0.0009909043,"about_ca_system_score_gemma":0.0006003095,"threshold_uncertainty_score":0.03512597},"labels":[],"label_agreement":null},{"id":"W2774151438","doi":"10.1186/s40854-017-0082-9","title":"Value investing or investing in illiquidity? The profitability of contrarian investment strategies, revisited","year":2017,"lang":"en","type":"article","venue":"Financial Innovation","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Contrarian; Profitability index; Economics; Portfolio; Investment strategy; Financial economics; Value (mathematics); Investment (military); Stock (firearms); Monetary economics; Stock market; Market liquidity; Finance; Mathematics","score_opus":0.09594001058295498,"score_gpt":0.2814488357410799,"score_spread":0.1855088251581249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774151438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884439,0.0016891517,0.0030149755,0.0025593536,0.000016071168,0.000008873522,0.000037881364,0.000008463234,0.004221275],"genre_scores_gemma":[0.99887043,0.0003923479,0.00032977984,0.00011025108,0.0000346717,0.0000028721065,0.000015560376,0.000002935879,0.00024114098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935037,0.00019512975,0.000053899534,0.00013225875,0.0001454874,0.00012291559],"domain_scores_gemma":[0.9780849,0.009385656,0.009522827,0.00094806316,0.0008232337,0.0012353042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026435016,0.00022882347,0.00048285158,0.0014182917,0.00030058052,0.0024811304,0.00049043645,0.00078424625,0.0018578555],"category_scores_gemma":[0.024452271,0.00012238692,0.00034022753,0.0011747289,0.0027157203,0.004469445,0.001212033,0.001202756,0.00017935038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007863884,0.00022724716,0.7556793,0.00014190986,0.00021529556,0.0005922822,0.0013633758,0.004036705,0.0046377503,0.11813981,0.00086077413,0.113319226],"study_design_scores_gemma":[0.00006605684,0.00068940024,0.7565573,0.00017404124,0.00018570782,0.0013009262,0.0025214567,0.02071009,0.0038341915,0.21070682,0.00318625,0.000067722336],"about_ca_topic_score_codex":0.0012695065,"about_ca_topic_score_gemma":0.0013094061,"teacher_disagreement_score":0.0026435016,"about_ca_system_score_codex":0.0008327073,"about_ca_system_score_gemma":0.0006568982,"threshold_uncertainty_score":0.013980329},"labels":[],"label_agreement":null},{"id":"W2774823108","doi":"10.5430/ijfr.v9n1p8","title":"Lead-Lag Relationships in International Stock Markets Revisited: Are They Exploitable?","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lead–lag compensator; Predictability; Lag; Transaction cost; Lead (geology); Stock (firearms); Trading strategy; Exploit; Basis point; Database transaction; Econometrics; Economics; Business; Financial economics; Monetary economics; Interest rate; Microeconomics; Computer science; Statistics; Geography; Mathematics","score_opus":0.19488143145850836,"score_gpt":0.36414730283284064,"score_spread":0.16926587137433227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774823108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733499,0.0057183784,0.010327861,0.0020822291,0.000062294734,0.000024456675,0.00023983035,0.0001296102,0.008065406],"genre_scores_gemma":[0.9981407,0.00081904785,0.00050581543,0.00010060362,0.00005108213,0.0000031090958,0.0000691335,0.000014232571,0.0002963044],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910635,0.00025523241,0.00009878599,0.00016187102,0.00021941998,0.00015845263],"domain_scores_gemma":[0.9738911,0.013863281,0.0090005575,0.0016311897,0.0009693555,0.0006444528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033064634,0.00041868672,0.00064848823,0.0018682452,0.00050622877,0.0036837133,0.00068020326,0.00072179525,0.0043351455],"category_scores_gemma":[0.025888635,0.00030645073,0.00071209884,0.0026446723,0.0021888337,0.0064544016,0.0013369132,0.001779213,0.0004898261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004173658,0.00016787385,0.8227386,0.0002820437,0.0005156307,0.001895479,0.0017991283,0.009616585,0.0014805782,0.04983313,0.002342346,0.10891124],"study_design_scores_gemma":[0.0001443923,0.00068279833,0.71744573,0.00034044363,0.0008120681,0.0026223604,0.004020675,0.058421917,0.00280251,0.20194638,0.010539473,0.00022127178],"about_ca_topic_score_codex":0.0031428703,"about_ca_topic_score_gemma":0.0042263446,"teacher_disagreement_score":0.0043351455,"about_ca_system_score_codex":0.0005902644,"about_ca_system_score_gemma":0.00073454034,"threshold_uncertainty_score":0.017486453},"labels":[],"label_agreement":null},{"id":"W2775312921","doi":"10.5539/ijef.v10n1p159","title":"January Effect Revisited: Evidence from Borsa Istanbul and Bucharest Stock Exchange","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock (firearms); January effect; Economics; Closing (real estate); Anomaly (physics); Emerging markets; Financial economics; Stock market; Monetary economics; Business; Geography; Finance; Physics","score_opus":0.03809568981205087,"score_gpt":0.2554480383991904,"score_spread":0.21735234858713953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775312921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935561,0.002276796,0.00007676155,0.0006087742,0.00004795518,0.0000062703643,0.0006817118,0.000009881512,0.002735714],"genre_scores_gemma":[0.99812454,0.0006221042,0.00003361085,0.00008140147,0.00010278047,0.000002161948,0.00076964445,0.000007547301,0.0002561715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907565,0.00018162833,0.00013107725,0.00018757101,0.00026799645,0.00015601862],"domain_scores_gemma":[0.9884721,0.0037052608,0.0056332825,0.00064586086,0.0010400534,0.00050345284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018936817,0.00027465753,0.0005758269,0.0021080622,0.00048499464,0.0020284855,0.0006193999,0.00080273085,0.0031464845],"category_scores_gemma":[0.0059048017,0.00016794873,0.00035328348,0.0023441403,0.00088007655,0.0011160515,0.0010229786,0.00075904786,0.00065599417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011357926,0.00015342467,0.9726743,0.00017438363,0.0002943416,0.0012261752,0.0011853575,0.0004131985,0.0007277018,0.0013260153,0.0042055044,0.016483817],"study_design_scores_gemma":[0.0000333309,0.00007098349,0.9940698,0.000049729155,0.000106465384,0.00034628838,0.0011030323,0.00049003836,0.00033610986,0.00021880433,0.003162461,0.000013020765],"about_ca_topic_score_codex":0.010216747,"about_ca_topic_score_gemma":0.009979391,"teacher_disagreement_score":0.010216747,"about_ca_system_score_codex":0.0005588796,"about_ca_system_score_gemma":0.0004970493,"threshold_uncertainty_score":0.020314574},"labels":[],"label_agreement":null},{"id":"W2775498257","doi":"10.5430/ijfr.v9n1p50","title":"Does the January Effect Still Exists?","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nonparametric statistics; Stock (firearms); January effect; Econometrics; Economics; Financial economics; Stock market; Geography","score_opus":0.08417730086471942,"score_gpt":0.36609286099527705,"score_spread":0.28191556013055763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775498257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84534323,0.043261275,0.017613107,0.042261958,0.0023430672,0.00014177746,0.0015209626,0.00036294668,0.047151677],"genre_scores_gemma":[0.9897423,0.0020723809,0.0009159866,0.0033162138,0.0018195967,0.000015051942,0.000217321,0.000056705954,0.0018446211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99542624,0.0013115855,0.00041472804,0.001368491,0.0010045817,0.00047436613],"domain_scores_gemma":[0.9146456,0.05666262,0.018765092,0.005127106,0.0031745504,0.0016249907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010081655,0.00028069093,0.0015556596,0.0013774072,0.00072373037,0.0030272522,0.0010295586,0.0017168557,0.009353411],"category_scores_gemma":[0.059540372,0.0002638997,0.0011431697,0.0017497779,0.0030889784,0.0053452435,0.0018420859,0.0020248834,0.0012028058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025614314,0.0002430602,0.740663,0.0013786316,0.0015091038,0.0013744406,0.0023222768,0.001421655,0.002129626,0.057292234,0.009745393,0.1793592],"study_design_scores_gemma":[0.0002032519,0.0013602064,0.8600699,0.0005037182,0.0008503946,0.0017257162,0.0040058875,0.0027752416,0.0023845132,0.082489125,0.043500494,0.00013157302],"about_ca_topic_score_codex":0.0020318136,"about_ca_topic_score_gemma":0.0017252129,"teacher_disagreement_score":0.010081655,"about_ca_system_score_codex":0.0007488382,"about_ca_system_score_gemma":0.0009228372,"threshold_uncertainty_score":0.053317487},"labels":[],"label_agreement":null},{"id":"W2778868737","doi":"10.2139/ssrn.2819254","title":"On the Value of Portfolio Optimization in the Presence of Estimation Risk: The Case with and Without Risk-Free Asset","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Download; Portfolio; Asset (computer security); Computer science; Value at risk; Actuarial science; Estimation; Value (mathematics); Portfolio optimization; Econometrics; Business; Risk management; Economics; Finance; World Wide Web; Computer security; Machine learning","score_opus":0.010060091079532178,"score_gpt":0.20541709726511562,"score_spread":0.19535700618558344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778868737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47864866,0.028974015,0.32317626,0.035973314,0.0009352635,0.00020310743,0.00094699825,0.0003163686,0.13082598],"genre_scores_gemma":[0.9721852,0.0049361014,0.012307409,0.00049945695,0.0009877842,0.000073109855,0.00026632496,0.000128608,0.0086159455],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99700314,0.0020219139,0.00010193495,0.00028083555,0.0003338034,0.00025824847],"domain_scores_gemma":[0.9266082,0.06688449,0.002205765,0.0012439307,0.0015036812,0.0015538667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008315483,0.0015559278,0.0029792248,0.0025202134,0.00069134386,0.006141776,0.0026100222,0.0048534474,0.005345811],"category_scores_gemma":[0.06544946,0.0009841636,0.0010466994,0.0018815347,0.0037836796,0.010107362,0.003325739,0.004084404,0.00026835772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006881818,0.00023405877,0.0031188051,0.00054034224,0.000325271,0.0007488996,0.00020930052,0.37978056,0.0008687801,0.58592105,0.0047169277,0.022847772],"study_design_scores_gemma":[0.00005982348,0.000087977016,0.0012511738,0.00017420396,0.0000905862,0.0001640101,0.000087536966,0.69728035,0.00020515267,0.2995588,0.0009892102,0.00005113095],"about_ca_topic_score_codex":0.002523855,"about_ca_topic_score_gemma":0.0012910874,"teacher_disagreement_score":0.008315483,"about_ca_system_score_codex":0.0024471716,"about_ca_system_score_gemma":0.0018129244,"threshold_uncertainty_score":0.043977022},"labels":[],"label_agreement":null},{"id":"W2780045407","doi":"10.1016/j.jacceco.2020.101356","title":"Investor communication and the benefits of cross-listing","year":2020,"lang":"en","type":"article","venue":"Journal of Accounting and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; University of Michigan","keywords":"Listing (finance); Business; Cross listing; Financial economics; Accounting; Economics; Finance; Corporate governance","score_opus":0.04694729364626895,"score_gpt":0.22494134796435583,"score_spread":0.17799405431808688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780045407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93274015,0.0024548974,0.0006410692,0.009474778,0.00011792344,0.000017275259,0.00016068465,0.000039675713,0.05435344],"genre_scores_gemma":[0.99778736,0.00018846129,0.00006194445,0.00027255347,0.00008248377,0.000001516352,0.000025847465,0.0000028566353,0.0015770199],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883765,0.0006305488,0.000061798884,0.00006507647,0.00017881452,0.00022605287],"domain_scores_gemma":[0.9539296,0.030034518,0.010600182,0.001654137,0.0015327783,0.0022488025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034363691,0.00012803578,0.0002043391,0.00052749674,0.00062120834,0.0020498587,0.00033035077,0.0016460598,0.01331494],"category_scores_gemma":[0.032918923,0.000101267346,0.00015047641,0.00063819526,0.00046664895,0.0017848585,0.00094627566,0.0010869892,0.00073918473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0074550277,0.0036894928,0.55641353,0.00023228952,0.0002829678,0.002657571,0.0047316616,0.0070867282,0.0019544861,0.045787808,0.016584856,0.35312364],"study_design_scores_gemma":[0.0008679129,0.0024592094,0.8544316,0.00029493927,0.0006461016,0.0023689512,0.011908393,0.017964927,0.0032515198,0.0811581,0.024517383,0.00013095017],"about_ca_topic_score_codex":0.0020246808,"about_ca_topic_score_gemma":0.0032918183,"teacher_disagreement_score":0.01331494,"about_ca_system_score_codex":0.0007581132,"about_ca_system_score_gemma":0.0005177954,"threshold_uncertainty_score":0.04454291},"labels":[],"label_agreement":null},{"id":"W2781173492","doi":"10.5539/mas.v10n9p192","title":"Studying of the Factors Affecting on the Mutual Fund by Individual Investor in Iran, Malaysia, Turkey and US","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Reputation; Business; Multinomial logistic regression; Transparency (behavior); Selection (genetic algorithm); Actuarial science; Finance; Computer science","score_opus":0.07633292946386873,"score_gpt":0.22151485389894382,"score_spread":0.1451819244350751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781173492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994758,0.00006588953,0.000023470257,0.000050752937,9.526435e-7,0.0000017302177,0.000013809668,6.058479e-7,0.0003669691],"genre_scores_gemma":[0.99953914,0.00007576382,0.000034888948,0.000007337971,0.000002755279,0.0000010963223,0.000019784615,3.2357661e-7,0.00031898398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995771,0.00012791442,0.000038345905,0.000043833676,0.00010320792,0.00010955028],"domain_scores_gemma":[0.9978219,0.00042768795,0.0012368588,0.000047082907,0.00019180104,0.00027474546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007066187,0.00011539351,0.00012418213,0.0006546432,0.0003415128,0.000582632,0.00014388235,0.00022732475,0.0010037688],"category_scores_gemma":[0.0029907979,0.0000628135,0.00012566554,0.0005425665,0.00021219326,0.00036246667,0.000289907,0.00018472044,0.00012712604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004056848,0.000028935008,0.98998755,0.00001050464,0.0000142936005,0.00017304918,0.0012974463,0.00008676137,0.0002473922,0.00022130922,0.0002226172,0.007669629],"study_design_scores_gemma":[0.0000013403848,0.000033031345,0.9953035,0.000005788787,0.000010632394,0.00019232601,0.0031389417,0.00034400765,0.00020298203,0.000057776324,0.0007053939,0.0000041776266],"about_ca_topic_score_codex":0.0075841933,"about_ca_topic_score_gemma":0.011519931,"teacher_disagreement_score":0.0075841933,"about_ca_system_score_codex":0.00058096816,"about_ca_system_score_gemma":0.0004653027,"threshold_uncertainty_score":0.015080094},"labels":[],"label_agreement":null},{"id":"W2782704674","doi":"10.2139/ssrn.2183806","title":"Do Retail Traders Suffer from High Frequency Traders?","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Toronto; McMaster University","funders":"","keywords":"Business; High-frequency trading; Monetary economics; Economics; Finance; Market liquidity","score_opus":0.02863119584078825,"score_gpt":0.2029273681079341,"score_spread":0.17429617226714586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782704674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98972756,0.0005078093,0.00020574525,0.0030484544,0.000039718558,0.000009600028,0.00013451834,0.0000117622,0.006314758],"genre_scores_gemma":[0.9987161,0.00021473678,0.00006260231,0.00030305388,0.000056092114,0.0000024351039,0.0000574131,0.0000037174057,0.0005839063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913776,0.00017465363,0.00008051866,0.00013587816,0.00021892313,0.00025224852],"domain_scores_gemma":[0.98691726,0.004965598,0.0052672885,0.0009172583,0.0006230599,0.0013095455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012948372,0.00015011727,0.0003646808,0.000827443,0.00059224776,0.0028817824,0.00055649155,0.0020772794,0.008658655],"category_scores_gemma":[0.020803034,0.0002750582,0.00023577744,0.00076523935,0.0009459426,0.0028830487,0.00073879526,0.0013550125,0.0012277061],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004449562,0.00030853503,0.96226346,0.00004174274,0.000076396194,0.001033777,0.0014492916,0.00015926283,0.0003870052,0.0021057415,0.0017154256,0.030014468],"study_design_scores_gemma":[0.00010219046,0.000348951,0.9594947,0.00011128856,0.00013044184,0.005825831,0.010676989,0.001554522,0.00048636989,0.017471878,0.0037548698,0.00004192153],"about_ca_topic_score_codex":0.0012725034,"about_ca_topic_score_gemma":0.0014933093,"teacher_disagreement_score":0.008658655,"about_ca_system_score_codex":0.00025348968,"about_ca_system_score_gemma":0.00032652137,"threshold_uncertainty_score":0.02896607},"labels":[],"label_agreement":null},{"id":"W2782726649","doi":"10.2139/ssrn.3100702","title":"Application of Discounted Cash Flow Model Valuation Wal-Mart","year":2017,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Discounted cash flow; Valuation (finance); Cash flow; Equity (law); Stock price; Free cash flow; Stock (firearms); Economics; Econometrics; Actuarial science; Business; Financial economics; Finance; Engineering; Series (stratigraphy)","score_opus":0.031841263653312,"score_gpt":0.2529708826516575,"score_spread":0.22112961899834552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782726649","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1412004,0.0015612763,0.83137673,0.0009881879,0.00066663325,0.00009861699,0.00031773417,0.00037695645,0.023413418],"genre_scores_gemma":[0.9469572,0.00057767995,0.047282018,0.000058642217,0.00020040465,0.000023345847,0.0001237994,0.000040688745,0.0047363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997068,0.000103644685,0.000013510139,0.000048739934,0.00009823032,0.00002913496],"domain_scores_gemma":[0.99937266,0.00028736028,0.00006408744,0.00008398658,0.00013544338,0.000056465513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009074883,0.00047967568,0.00067555916,0.0008142786,0.00042267423,0.0019392227,0.0009906192,0.0010509188,0.0031907447],"category_scores_gemma":[0.0036821105,0.0002983496,0.00066284084,0.0008758932,0.00035067854,0.0016534155,0.0008414115,0.0009489386,0.00025398296],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080433616,0.00012271201,0.0015484879,0.00008499421,0.00007203795,0.00020399553,0.00007059875,0.6926925,0.002892545,0.25206256,0.0016487837,0.048520382],"study_design_scores_gemma":[0.000004709223,0.000010475354,0.00010263278,0.0000032601267,0.0000067244223,0.000018780693,0.00000436836,0.9678411,0.00017068401,0.031224877,0.0006074792,0.0000049473956],"about_ca_topic_score_codex":0.0025973162,"about_ca_topic_score_gemma":0.0013018053,"teacher_disagreement_score":0.0031907447,"about_ca_system_score_codex":0.00081637007,"about_ca_system_score_gemma":0.0009194381,"threshold_uncertainty_score":0.010674119},"labels":[],"label_agreement":null},{"id":"W2783235185","doi":"10.5430/ijfr.v9n1p189","title":"The Impact of Unsystematic Risk on Stock Returns in an Emerging Capital Markets (ECM’s) Country: An Empirical Study","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Systematic risk; Econometrics; Financial economics; Stock exchange; Emerging markets; Stock (firearms); Monetary economics; Finance","score_opus":0.12819555995869097,"score_gpt":0.43825970978769163,"score_spread":0.31006414982900066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783235185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991474,0.000117989184,0.00012175663,0.00006678206,0.0000026207545,0.000003288821,0.00013545871,0.0000020107689,0.00040256666],"genre_scores_gemma":[0.99934644,0.00011763761,0.00006269729,0.0000110356705,0.00000990992,0.0000014418923,0.00030284634,9.3005065e-7,0.00014709315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944466,0.00010789291,0.00009173762,0.00010759257,0.00013871929,0.00010936876],"domain_scores_gemma":[0.9903951,0.0023275395,0.0055289995,0.00043203053,0.0006466925,0.00066973444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011124526,0.00028209458,0.0002536647,0.0011378955,0.00031764532,0.001260224,0.00034446365,0.00058696984,0.001131773],"category_scores_gemma":[0.0050530247,0.00013456121,0.00042579367,0.0016392065,0.0005019435,0.0013333833,0.00080100895,0.0010419392,0.00023437013],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020470412,0.0000358164,0.9973654,0.0000055292967,0.000036044574,0.00010653654,0.00008480324,0.0004789698,0.000047032914,0.00014947544,0.00006603438,0.0016039754],"study_design_scores_gemma":[0.0000016436605,0.00006496511,0.99596053,0.000009220412,0.000023491048,0.00009908256,0.0004172795,0.002907585,0.00011693521,0.00017117057,0.00022111101,0.0000069046173],"about_ca_topic_score_codex":0.0063561425,"about_ca_topic_score_gemma":0.009924721,"teacher_disagreement_score":0.0063561425,"about_ca_system_score_codex":0.00040608755,"about_ca_system_score_gemma":0.00038015388,"threshold_uncertainty_score":0.01263833},"labels":[],"label_agreement":null},{"id":"W2783821236","doi":"10.2139/ssrn.3092248","title":"FX Spot and Swap Market Liquidity and the Effects of Window Dressing","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Swap (finance); Market liquidity; Window (computing); Business; Spot market; Spot contract; Interest rate swap; Monetary economics; Economics; Finance; Computer science; Engineering; World Wide Web; Electrical engineering","score_opus":0.009925841006001607,"score_gpt":0.20514309394246902,"score_spread":0.1952172529364674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783821236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956921,0.00037312764,0.00037560574,0.00032472349,0.000028966171,0.000004200483,0.00006837888,0.000019613291,0.0031133182],"genre_scores_gemma":[0.9992766,0.000061633546,0.000027893371,0.000016328442,0.000022346427,0.0000010190377,0.00001944773,0.0000042529573,0.0005704396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966383,0.000106341206,0.000022677092,0.000038024198,0.000035134824,0.00013404587],"domain_scores_gemma":[0.9865665,0.009866378,0.0015816675,0.00045012994,0.0003281258,0.0012071368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017847135,0.0003136338,0.0005100452,0.0005120851,0.0004110509,0.002158416,0.00041730364,0.0014328415,0.011101856],"category_scores_gemma":[0.017318735,0.00018597094,0.00044027838,0.00040660915,0.0010114007,0.002173613,0.00075126195,0.0014672106,0.0004326552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.056816343,0.004788279,0.46379495,0.0006190233,0.001078343,0.013123703,0.0032712622,0.12228646,0.07391683,0.13851915,0.009690031,0.112095684],"study_design_scores_gemma":[0.0021624453,0.005289503,0.64734256,0.00013353056,0.0018510749,0.0015888686,0.0037023243,0.18186504,0.017453374,0.1346173,0.0037867879,0.00020723553],"about_ca_topic_score_codex":0.001602638,"about_ca_topic_score_gemma":0.0010737526,"teacher_disagreement_score":0.011101856,"about_ca_system_score_codex":0.00032296166,"about_ca_system_score_gemma":0.00034907166,"threshold_uncertainty_score":0.037139356},"labels":[],"label_agreement":null},{"id":"W2784548205","doi":"10.26481/dis.20180228er","title":"Investment is style and strategy","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Diego; Universiteit Utrecht; University of Toronto; Universiteit Maastricht; York University","keywords":"Style (visual arts); Investment (military); Business; Industrial organization; Economics; Political science; Art; Literature","score_opus":0.030608010106786612,"score_gpt":0.23431378519788523,"score_spread":0.2037057750910986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784548205","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33379665,0.005628031,0.008609865,0.013798737,0.0003349323,0.000019241734,0.00029282708,0.00005018944,0.6374696],"genre_scores_gemma":[0.952089,0.0030327449,0.00091086177,0.0004948754,0.00025630023,0.000009337196,0.00009120261,0.000025634949,0.043090064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965227,0.00011456336,0.000012792959,0.00005584581,0.00011199918,0.000052539188],"domain_scores_gemma":[0.9985563,0.0005428566,0.00024759182,0.00013696785,0.0002606061,0.00025565742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008234249,0.00023914769,0.00022075196,0.0004871092,0.00023909776,0.005336719,0.00018549952,0.0006114411,0.01158055],"category_scores_gemma":[0.004463597,0.00010239384,0.0001475219,0.00096137734,0.0012796542,0.00236616,0.0004887594,0.0009742444,0.0017927863],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098028315,0.00012687198,0.03682959,0.000090749956,0.00009005884,0.000104768005,0.0019779445,0.0012201346,0.0010956796,0.806556,0.010172395,0.1416377],"study_design_scores_gemma":[0.000021154945,0.00006904838,0.07911805,0.0001712692,0.00004922872,0.00016680852,0.0024306306,0.001686399,0.0005912632,0.8480553,0.067622475,0.000018401466],"about_ca_topic_score_codex":0.000387708,"about_ca_topic_score_gemma":0.0006238623,"teacher_disagreement_score":0.01158055,"about_ca_system_score_codex":0.0006894302,"about_ca_system_score_gemma":0.00046221213,"threshold_uncertainty_score":0.038740814},"labels":[],"label_agreement":null},{"id":"W2785091594","doi":"10.2139/ssrn.3097089","title":"Do Technology Spillovers Affect the Corporate Information Environment?","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Affect (linguistics); Business; Industrial organization; Psychology; Communication","score_opus":0.012633125855584787,"score_gpt":0.17726083239283463,"score_spread":0.16462770653724984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785091594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9603747,0.0011595796,0.0023869618,0.004871269,0.000032667213,0.00003770886,0.0003004362,0.00003441069,0.030802276],"genre_scores_gemma":[0.99745744,0.0005634475,0.00018224571,0.00018662699,0.000050568633,0.000004469061,0.000042732117,0.000004811211,0.0015076984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992847,0.0002131823,0.00003749877,0.00013994698,0.00010769597,0.00021701824],"domain_scores_gemma":[0.97869647,0.013270648,0.0049397866,0.0008680424,0.00086792855,0.001357123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017299983,0.00024537137,0.0005604273,0.0012228527,0.00047924925,0.0052333204,0.0003991581,0.0024590632,0.017199948],"category_scores_gemma":[0.015423581,0.0003948729,0.0004242876,0.0011582319,0.0012144251,0.005423596,0.001152617,0.0013069801,0.0015753155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021749306,0.0030967318,0.6710583,0.0006115146,0.0009204243,0.0034503706,0.0046424717,0.030098164,0.0109437965,0.16017959,0.006697354,0.10612635],"study_design_scores_gemma":[0.00041724756,0.0008500703,0.7716267,0.00020317789,0.00079222047,0.0009995799,0.0070895907,0.025733847,0.0051767076,0.1760567,0.010883464,0.00017071856],"about_ca_topic_score_codex":0.0023177785,"about_ca_topic_score_gemma":0.0024826038,"teacher_disagreement_score":0.017199948,"about_ca_system_score_codex":0.00074904837,"about_ca_system_score_gemma":0.0005601702,"threshold_uncertainty_score":0.057539582},"labels":[],"label_agreement":null},{"id":"W2785566370","doi":"10.5430/ijba.v9n2p21","title":"An Analysis of the Level of Qualitative Efficiency for the Equity Research Reports in the Italian Financial Market","year":2018,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Stock exchange; Business; Capitalization; Market capitalization; Equity capital markets; Index (typography); Stock market index; Stock market; Initial public offering; Empirical research; Finance; Economics; Financial economics; Private equity","score_opus":0.3338826596451047,"score_gpt":0.45451526239409695,"score_spread":0.12063260274899223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785566370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97833484,0.00075988617,0.003185847,0.00051114324,0.000019518626,0.000093785326,0.0020470216,0.000062479325,0.014985503],"genre_scores_gemma":[0.99724495,0.00013574911,0.0008766837,0.000022355784,0.00004346646,0.00002928996,0.0008409612,0.000010006835,0.00079657143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9919132,0.0031593987,0.00091192184,0.00068088714,0.002729227,0.0006053421],"domain_scores_gemma":[0.9008748,0.047977462,0.028865982,0.005546752,0.015576662,0.001158399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010078767,0.00023336158,0.00021528086,0.013333401,0.0003427516,0.0025903918,0.0004471453,0.00049258437,0.003218015],"category_scores_gemma":[0.050809737,0.00016889414,0.00043052158,0.0062061665,0.0010595698,0.0015752427,0.0011560121,0.00031785437,0.0006810537],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002731145,0.000079245845,0.9282202,0.00020896467,0.00010487111,0.00019552352,0.0041204835,0.0010624571,0.0037056904,0.0038712346,0.0015138346,0.056644395],"study_design_scores_gemma":[0.0000044492976,0.000072865274,0.9927585,0.000036181038,0.000029193694,0.00013227432,0.0010953986,0.001778015,0.00085232675,0.00032520696,0.002900619,0.000014941326],"about_ca_topic_score_codex":0.0032452755,"about_ca_topic_score_gemma":0.002438161,"teacher_disagreement_score":0.013333401,"about_ca_system_score_codex":0.001230663,"about_ca_system_score_gemma":0.00070864556,"threshold_uncertainty_score":0.053302288},"labels":[],"label_agreement":null},{"id":"W2785727951","doi":"10.5539/ijef.v10n3p1","title":"The Contribution of African Capital Markets in the Diversification of European Investment Portfolios","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Capital market; Financial economics; Portfolio; Portfolio investment; Economics; Investment strategy; Business; Monetary economics; Finance; Market liquidity","score_opus":0.017830322971319878,"score_gpt":0.20810977937528932,"score_spread":0.19027945640396945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785727951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97091764,0.0029642195,0.0130821355,0.00039471957,0.00003507106,0.0000311822,0.00008803984,0.00001557935,0.012471411],"genre_scores_gemma":[0.99783057,0.00041127173,0.001235608,0.000019003395,0.000014439261,0.000004024805,0.000028292789,0.0000029593818,0.000453871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990669,0.0004090259,0.000056503442,0.00011796539,0.00019633833,0.00015327141],"domain_scores_gemma":[0.99730206,0.0011726827,0.0008237421,0.0001815187,0.00038291074,0.00013706481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030283863,0.0004178906,0.00031332296,0.001710322,0.0004645687,0.0022461314,0.0002433284,0.0004582231,0.0015144042],"category_scores_gemma":[0.010418171,0.00015779908,0.00037941601,0.0011248736,0.00042387607,0.0020548364,0.0011507169,0.00043071227,0.00014345247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005810579,0.00014219522,0.52060825,0.00025013203,0.0006054283,0.0018599182,0.001302084,0.07947861,0.0058395164,0.098011255,0.0011653665,0.29015616],"study_design_scores_gemma":[0.0000684525,0.0006299284,0.60726357,0.000426446,0.00063953723,0.0023483136,0.0030263136,0.2741438,0.01316783,0.07400106,0.024188826,0.00009599186],"about_ca_topic_score_codex":0.0012942755,"about_ca_topic_score_gemma":0.0014693051,"teacher_disagreement_score":0.0030283863,"about_ca_system_score_codex":0.0006125517,"about_ca_system_score_gemma":0.00052675063,"threshold_uncertainty_score":0.016015887},"labels":[],"label_agreement":null},{"id":"W2786143286","doi":"10.1007/s00181-019-01694-5","title":"Does business confidence matter for investment?","year":2019,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Investment (military); Quarter (Canadian coin); Business cycle; Confidence interval; Economics; Predictive power; Sign (mathematics); Investment strategy; Return on investment; Econometrics; Monetary economics; Macroeconomics; Statistics; Geography","score_opus":0.03450199352066178,"score_gpt":0.24195356099718449,"score_spread":0.2074515674765227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786143286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9415907,0.0075353254,0.0019780349,0.027350731,0.00026277677,0.00002331916,0.00067456835,0.00004005322,0.020544464],"genre_scores_gemma":[0.9978635,0.0005724542,0.00008191027,0.00056283065,0.00014772602,0.0000035491912,0.00010680689,0.000008911561,0.0006522925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853706,0.00047148496,0.00011029294,0.00022274302,0.00021331129,0.00044499798],"domain_scores_gemma":[0.82837856,0.11189278,0.040536996,0.0050390167,0.0047869445,0.00936578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048579774,0.0004050394,0.00069548097,0.001382744,0.00069822173,0.0048477114,0.0008905152,0.003595746,0.013708497],"category_scores_gemma":[0.07183026,0.00031192455,0.00071279204,0.0015656904,0.0031993566,0.005253404,0.00084631774,0.0031666548,0.0015115164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091730786,0.0006006359,0.93271685,0.00019879974,0.0006015273,0.00046099848,0.00045412048,0.0014336477,0.000263451,0.025359202,0.0037630931,0.033230487],"study_design_scores_gemma":[0.00016399272,0.00038389128,0.8858633,0.00029201372,0.0006631288,0.00042147713,0.002410058,0.006113286,0.0007795436,0.096099384,0.006747115,0.0000628702],"about_ca_topic_score_codex":0.0030064203,"about_ca_topic_score_gemma":0.0025582523,"teacher_disagreement_score":0.013708497,"about_ca_system_score_codex":0.0009180099,"about_ca_system_score_gemma":0.0010579121,"threshold_uncertainty_score":0.045859516},"labels":[],"label_agreement":null},{"id":"W2786255432","doi":"10.18311/jbt/2019/23355","title":"The Role of Precision Timing in Stock Market Price Discovery when Trading through Distributed Ledgers","year":2019,"lang":"en","type":"article","venue":"Journal of Business Thought (online)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Price discovery; Stock market; Distributed ledger; Ledger; Business; Financial economics; Economics; Monetary economics; Econometrics; Computer science; Accounting; Computer security; Blockchain; Geography","score_opus":0.030032949407366564,"score_gpt":0.23353764636248622,"score_spread":0.20350469695511966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786255432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8872899,0.00043839097,0.10551246,0.0005502987,0.000104315426,0.00010888981,0.00010602345,0.0006803855,0.0052094655],"genre_scores_gemma":[0.9904524,0.00006369751,0.008926555,0.000029930337,0.00002518405,0.000019361354,0.00003233184,0.00003817481,0.00041245864],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99270225,0.0022239967,0.00054073747,0.0012152202,0.0025350368,0.00078275613],"domain_scores_gemma":[0.8830729,0.08149542,0.016473915,0.012611875,0.004236338,0.0021096647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009525562,0.00046897496,0.0006935935,0.0012208162,0.0010228612,0.004351473,0.0013788772,0.001025699,0.0017934514],"category_scores_gemma":[0.09332424,0.00063365785,0.00036736083,0.0011736674,0.0023729606,0.006658525,0.0023721727,0.0021155002,0.00035908443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007141528,0.0014098261,0.2509748,0.000568055,0.00038824938,0.002983143,0.0047820685,0.22389051,0.09345485,0.11289402,0.0016880209,0.29982486],"study_design_scores_gemma":[0.00057941204,0.003647049,0.12232592,0.00015869518,0.00047234187,0.0024146615,0.0029062422,0.6233731,0.12311115,0.11084165,0.00971985,0.0004499868],"about_ca_topic_score_codex":0.0025349257,"about_ca_topic_score_gemma":0.0019955435,"teacher_disagreement_score":0.009525562,"about_ca_system_score_codex":0.0012876912,"about_ca_system_score_gemma":0.0019039758,"threshold_uncertainty_score":0.050376594},"labels":[],"label_agreement":null},{"id":"W2786285330","doi":"10.33423/jabe.v19i12.782","title":"Herding and Returns in Taiwan’s Stock Market","year":2017,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Economics; Stock market; Quantile regression; Financial economics; Econometrics; Stock (firearms); Quantile; Monetary economics; Geography","score_opus":0.02652153511176623,"score_gpt":0.20852150414413195,"score_spread":0.18199996903236573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786285330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993331,0.000116758216,0.00015343919,0.000050199844,0.00000267996,0.00000258971,0.00007813899,0.0000048427346,0.00025824195],"genre_scores_gemma":[0.99965596,0.000040074472,0.00005545038,0.000008446167,0.00000579518,0.0000016575719,0.0001261517,9.838459e-7,0.00010550859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975485,0.000039547678,0.000028351134,0.00006604,0.000042651474,0.00006849159],"domain_scores_gemma":[0.99650675,0.0005748051,0.0022931916,0.00019381742,0.00019222661,0.00023917195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083216786,0.00019132893,0.00028450275,0.0011940997,0.00029210214,0.00072095863,0.00029276093,0.00045674347,0.0013373132],"category_scores_gemma":[0.0033321846,0.00016106377,0.00034963386,0.0011917822,0.00031651236,0.0009271031,0.0005421142,0.0004493936,0.00017882785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029408833,0.00003259082,0.99377406,0.000011250644,0.00009187523,0.00022195639,0.00021956331,0.0011700102,0.00044119038,0.0001706271,0.00022386946,0.0036135663],"study_design_scores_gemma":[0.0000028044547,0.000050197836,0.99318683,0.0000073529673,0.00003088181,0.0000927597,0.0003148719,0.0058014444,0.00012004272,0.00017200311,0.00021385809,0.0000070621813],"about_ca_topic_score_codex":0.011443169,"about_ca_topic_score_gemma":0.013401163,"teacher_disagreement_score":0.011443169,"about_ca_system_score_codex":0.00041683012,"about_ca_system_score_gemma":0.00019194125,"threshold_uncertainty_score":0.02275312},"labels":[],"label_agreement":null},{"id":"W278630468","doi":"","title":"Probabilistic Investing: Or How to Win the Globe and Mail's Stock Picking Contest (50% of the Time)","year":2005,"lang":"en","type":"article","venue":"Financial Services Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"CONTEST; Newspaper; Globe; Stock (firearms); Economics; Stock exchange; Business; Finance; Advertising; Political science; History; Psychology; Law","score_opus":0.03232694397848815,"score_gpt":0.2270685175885099,"score_spread":0.19474157361002176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W278630468","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84156317,0.0008383248,0.027321987,0.009231776,0.0002395822,0.00020213766,0.00036268617,0.00023316655,0.12000718],"genre_scores_gemma":[0.9874685,0.00013148518,0.0025627224,0.00037096813,0.000064304026,0.000036046426,0.00008603755,0.000023541645,0.009256377],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99849427,0.00068838755,0.00006692061,0.0002022314,0.00023501307,0.00031329802],"domain_scores_gemma":[0.9949799,0.0024810575,0.0009895617,0.0003209635,0.00023959705,0.0009888819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003606619,0.000449941,0.0005651041,0.00041644048,0.0010123777,0.002375445,0.00053194683,0.001573778,0.022941174],"category_scores_gemma":[0.0136499265,0.00018052237,0.00032540853,0.0003145279,0.000969322,0.0014994886,0.00095720316,0.0011883491,0.0017326807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004516834,0.001358939,0.1856777,0.00053158787,0.0004954842,0.0015787821,0.0021321164,0.04347855,0.008867009,0.33466312,0.07503364,0.34166628],"study_design_scores_gemma":[0.0005300153,0.0018324378,0.16129738,0.00029970266,0.00029669362,0.0015465104,0.004821201,0.258012,0.006533064,0.46328092,0.10126933,0.00028075764],"about_ca_topic_score_codex":0.0021755542,"about_ca_topic_score_gemma":0.004268044,"teacher_disagreement_score":0.99782443,"about_ca_system_score_codex":0.0011360862,"about_ca_system_score_gemma":0.0006383288,"threshold_uncertainty_score":0.07674587},"labels":[],"label_agreement":null},{"id":"W2786545864","doi":"10.1287/mnsc.2017.2904","title":"Asset Pricing with Disagreement and Uncertainty About the Length of Business Cycles","year":2018,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Business cycle; Recession; Volatility (finance); Boom; Capital asset pricing model; Stock (firearms); Financial economics; Risk premium; Econometrics; Equity premium puzzle; Monetary economics; Macroeconomics","score_opus":0.02449031815413904,"score_gpt":0.2200135911397487,"score_spread":0.19552327298560965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786545864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93744004,0.00073180103,0.054385033,0.0030247613,0.000046912934,0.00002980756,0.00016298474,0.00004414491,0.0041344613],"genre_scores_gemma":[0.9975441,0.00018448106,0.0013724244,0.00006507003,0.000055193203,0.000014651462,0.00004706378,0.0000051777247,0.00071183295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976694,0.0012494383,0.00010228225,0.00039131186,0.00021189454,0.00037558484],"domain_scores_gemma":[0.9551211,0.03303036,0.00814076,0.0013326553,0.0008494888,0.0015257034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00774147,0.00097130856,0.0021361336,0.00068404974,0.0008708415,0.0037472663,0.001674451,0.0036186806,0.0018558733],"category_scores_gemma":[0.045814835,0.00072197826,0.0009585064,0.0008692386,0.003065914,0.00487043,0.00245583,0.0038179888,0.000177081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012794872,0.00033319357,0.03440258,0.00015783976,0.0003929416,0.0015950353,0.0010807941,0.7544107,0.0017160923,0.1902911,0.0016703295,0.012669859],"study_design_scores_gemma":[0.00013210367,0.00010524563,0.005019822,0.00001786864,0.00004860801,0.00008393682,0.0001806513,0.86717725,0.0002056259,0.1267351,0.00023919469,0.000054544034],"about_ca_topic_score_codex":0.0036151132,"about_ca_topic_score_gemma":0.0011996665,"teacher_disagreement_score":0.00774147,"about_ca_system_score_codex":0.0011372084,"about_ca_system_score_gemma":0.0006103206,"threshold_uncertainty_score":0.040941298},"labels":[],"label_agreement":null},{"id":"W2787340413","doi":"10.3390/jrfm11010015","title":"Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Big data; Estimator; Management science; Estimation; Computational economics; Predictive power; Econometric model; Computer science; Economics; Data science; Econometrics; Management; Mathematics; Microeconomics; Data mining; Statistics; Epistemology","score_opus":0.03429554063904915,"score_gpt":0.2495528472024546,"score_spread":0.21525730656340544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787340413","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063901767,0.810201,0.037990954,0.10064619,0.0035152715,0.00008809437,0.00020007392,0.00012726244,0.04084097],"genre_scores_gemma":[0.114129186,0.81487656,0.03224619,0.023228586,0.0098285265,0.00016614744,0.00022738746,0.00008645747,0.005211021],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99755645,0.0011773501,0.00017135953,0.00028876233,0.00066623697,0.00013988173],"domain_scores_gemma":[0.98245645,0.014727115,0.00059513905,0.00038347548,0.0011277712,0.0007100405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038404781,0.00068714743,0.0010755628,0.0075093373,0.0013499195,0.007499986,0.00079859403,0.0028967327,0.004757536],"category_scores_gemma":[0.0073951664,0.00044081357,0.0004785376,0.016455945,0.0064584636,0.0110519,0.002774131,0.0056096828,0.0006961039],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057992034,0.00011238715,0.0045592063,0.0044242814,0.00018494306,0.00039300226,0.0017323273,0.0015685012,0.00045449348,0.66317856,0.034576073,0.2887582],"study_design_scores_gemma":[0.000008884893,0.000034877212,0.0035624118,0.003011851,0.000046215282,0.0005218484,0.0024216291,0.0016949493,0.00024435463,0.7408448,0.24753994,0.000068170506],"about_ca_topic_score_codex":0.0017902639,"about_ca_topic_score_gemma":0.002672115,"teacher_disagreement_score":0.0075093373,"about_ca_system_score_codex":0.0025526187,"about_ca_system_score_gemma":0.0032101427,"threshold_uncertainty_score":0.02031064},"labels":[],"label_agreement":null},{"id":"W2788043825","doi":"10.1016/j.jfineco.2020.04.014","title":"IQ from IP: Simplifying search in portfolio choice","year":2020,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":178,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"London School of Economics and Political Science; National Science Foundation","keywords":"Business; Portfolio; Insider; Quarter (Canadian coin); Stock (firearms); Upload; Insider trading; Value (mathematics); Finance; Computer science; World Wide Web","score_opus":0.05984544588217536,"score_gpt":0.23520717710429662,"score_spread":0.17536173122212126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788043825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15383269,0.0014655902,0.80388767,0.0036983779,0.00024681247,0.00014683834,0.0006832248,0.0011146072,0.034924246],"genre_scores_gemma":[0.9024869,0.0006964954,0.08436276,0.0005426164,0.00037454636,0.0001595271,0.00062222016,0.00038964994,0.010365259],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978016,0.0013256696,0.000105833205,0.00024321506,0.00029553333,0.00022802576],"domain_scores_gemma":[0.9730185,0.021273846,0.0008028876,0.0036980002,0.00054948597,0.00065721816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005077363,0.0007378226,0.0028569144,0.0013226987,0.0006949757,0.002309515,0.002456406,0.001967799,0.015691906],"category_scores_gemma":[0.050537404,0.00088527286,0.001179701,0.0021819056,0.0014798717,0.0072117746,0.0038078013,0.0032389483,0.0011882309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007673414,0.00022765319,0.0039407937,0.0002280352,0.00012449664,0.00029216634,0.00029960455,0.2944383,0.0005743094,0.58264166,0.014364759,0.1021009],"study_design_scores_gemma":[0.000086598295,0.000048604626,0.0004005391,0.000022602173,0.00003025301,0.000048235208,0.00003105568,0.71933496,0.0002731623,0.27838466,0.0013285099,0.000010880858],"about_ca_topic_score_codex":0.003517644,"about_ca_topic_score_gemma":0.0019944059,"teacher_disagreement_score":0.015691906,"about_ca_system_score_codex":0.001280429,"about_ca_system_score_gemma":0.0017284318,"threshold_uncertainty_score":0.052494645},"labels":[],"label_agreement":null},{"id":"W2788045906","doi":"10.2139/ssrn.3129086","title":"Expected Stock Returns Worldwide: A Log-Linear Present-Value Approach","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stock (firearms); Econometrics; Financial economics; Economics; Value (mathematics); Mathematics; Business; Statistics; Geography","score_opus":0.026439917364586424,"score_gpt":0.23650850393391865,"score_spread":0.21006858656933222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788045906","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14098252,0.0017884072,0.83174855,0.002222668,0.00016992149,0.00014944779,0.0015374813,0.0011069246,0.02029412],"genre_scores_gemma":[0.9240462,0.0017085555,0.033831943,0.00028890226,0.0005384038,0.00021479407,0.0017471255,0.00024466985,0.03737937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895597,0.00048680784,0.000044223252,0.00019613875,0.00018837671,0.00012851665],"domain_scores_gemma":[0.9936702,0.0048096064,0.0004548184,0.0004380408,0.00044089658,0.00018632752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003609321,0.0012258844,0.0013327625,0.0022848153,0.00030789187,0.0030144076,0.003164613,0.0022027777,0.010661726],"category_scores_gemma":[0.017479887,0.00069972355,0.0018359455,0.0016425601,0.0010167152,0.004069044,0.001308048,0.002264796,0.0028032411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026579626,0.00033277378,0.01593742,0.0002715431,0.00055641046,0.0013110315,0.00022129291,0.72662103,0.0019095308,0.1507418,0.006838997,0.09499237],"study_design_scores_gemma":[0.000014932387,0.000086729364,0.0033730494,0.0000254726,0.00008726034,0.00025004408,0.000056534456,0.9487934,0.00026883357,0.045593984,0.0014164434,0.000033285134],"about_ca_topic_score_codex":0.0030257353,"about_ca_topic_score_gemma":0.002338025,"teacher_disagreement_score":0.010661726,"about_ca_system_score_codex":0.00084700744,"about_ca_system_score_gemma":0.0006609379,"threshold_uncertainty_score":0.035667002},"labels":[],"label_agreement":null},{"id":"W2788280150","doi":"10.1016/j.jfineco.2018.10.012","title":"Too good to be true? Fallacies in evaluating risk factor models","year":2018,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spurious relationship; Econometrics; Capital asset pricing model; Identification (biology); Uncorrelated; Inference; Factor analysis; Economics; Statistical hypothesis testing; Asset (computer security); Statistics; Mathematics; Computer science","score_opus":0.08195142730558562,"score_gpt":0.2656323041489883,"score_spread":0.18368087684340267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788280150","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12845641,0.022087662,0.7214616,0.09438543,0.0033812094,0.00018565747,0.00072097074,0.0013212736,0.027999762],"genre_scores_gemma":[0.8270177,0.003880995,0.15687022,0.0066611106,0.002597511,0.00015900808,0.00048373357,0.0004979062,0.0018317198],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.93564445,0.047207016,0.0038792938,0.0029104291,0.009393637,0.0009651593],"domain_scores_gemma":[0.59312505,0.3573281,0.009980845,0.019553004,0.016460296,0.0035526883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1212602,0.0016983529,0.0036554171,0.00458673,0.002337283,0.011845639,0.004113239,0.0055815894,0.0033134334],"category_scores_gemma":[0.4512575,0.0018150286,0.0012652044,0.002645822,0.007243643,0.02204694,0.0043896143,0.011343063,0.0009294978],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006369986,0.00031711152,0.019033564,0.00062531425,0.0013218948,0.00042226145,0.0013171808,0.19053657,0.00033113352,0.56155735,0.031161625,0.19273904],"study_design_scores_gemma":[0.00004700718,0.00006170556,0.00056956016,0.00027402616,0.00006871206,0.00007844043,0.00023108946,0.15168875,0.00025696974,0.8447934,0.0018925477,0.00003771467],"about_ca_topic_score_codex":0.003350503,"about_ca_topic_score_gemma":0.0038757352,"teacher_disagreement_score":0.1212602,"about_ca_system_score_codex":0.0036110962,"about_ca_system_score_gemma":0.0034209853,"threshold_uncertainty_score":0.6412929},"labels":[],"label_agreement":null},{"id":"W2788528222","doi":"10.5539/ijef.v10n4p154","title":"An Examination of the Benefits of Factor Investing in U.K. Stock Returns","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Portfolio; Financial economics; Stock market; Stock (firearms); Investment (military); Investment strategy; Benchmark (surveying); Market portfolio; Trading strategy; Econometrics; Microeconomics","score_opus":0.04296565669473023,"score_gpt":0.23577981852938248,"score_spread":0.19281416183465225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788528222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939926,0.0005808018,0.0009849855,0.0004195398,0.000006383931,0.000008608388,0.00011550632,0.00001905263,0.0038724623],"genre_scores_gemma":[0.9990804,0.00020071301,0.0002721257,0.000027393808,0.000006186188,0.0000011370109,0.000046956393,0.000002202113,0.00036284898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995316,0.00013904224,0.000033360302,0.00006978573,0.000105448904,0.000120739096],"domain_scores_gemma":[0.9932319,0.003533992,0.001942518,0.00038338517,0.0006160341,0.00029215764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015346732,0.0003258186,0.0004451749,0.00055453513,0.00028632372,0.00095608935,0.00024969823,0.00062288943,0.0018902879],"category_scores_gemma":[0.013018554,0.00014182579,0.00031866023,0.0007689232,0.0003870643,0.0011668924,0.00057787553,0.00053577055,0.00026487475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037265772,0.0007405778,0.6713328,0.0002520677,0.00057459786,0.0007893528,0.0005870203,0.066633895,0.0071943267,0.02236979,0.002163618,0.22363542],"study_design_scores_gemma":[0.00012200442,0.0015346224,0.9199196,0.000078131685,0.00044892097,0.0004160588,0.0013374062,0.054780394,0.0036383206,0.01344834,0.0041952087,0.000081091996],"about_ca_topic_score_codex":0.012838232,"about_ca_topic_score_gemma":0.016147833,"teacher_disagreement_score":0.012838232,"about_ca_system_score_codex":0.0009436007,"about_ca_system_score_gemma":0.00060828374,"threshold_uncertainty_score":0.02552706},"labels":[],"label_agreement":null},{"id":"W2788779742","doi":"10.2469/faj.v74.n1.6","title":"“The Long-Run Drivers of Stock Returns: Total Payouts and the Real Economy”: A Comment","year":2018,"lang":"en","type":"article","venue":"Financial Analysts Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Economics; Quarter (Canadian coin); Monetary economics; Financial economics; Engineering; Geography","score_opus":0.01648745067338422,"score_gpt":0.21276335942672533,"score_spread":0.1962759087533411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788779742","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032610778,0.0004858262,0.00019748093,0.9771897,0.019348761,0.0000065384384,0.00043744422,0.000057293415,0.0019507777],"genre_scores_gemma":[0.006204847,0.0010116512,0.0003924517,0.9439912,0.034423474,0.00003278583,0.00023949104,0.00015169934,0.013552367],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99277484,0.0015271765,0.0007811913,0.0011575219,0.0029998634,0.0007593426],"domain_scores_gemma":[0.9404814,0.030293891,0.0043326276,0.0017710531,0.021230172,0.0018907832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008776022,0.0013828758,0.0010270008,0.0014450048,0.0042834096,0.005478365,0.0041708364,0.02921512,0.023984538],"category_scores_gemma":[0.07935599,0.0007795588,0.0022561206,0.0020541062,0.003958382,0.0077839238,0.0033810907,0.026592417,0.011813493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001231379,0.0000043781774,0.00024034221,0.000032167613,0.0000050746453,0.000058017446,0.00022255552,0.00002963945,0.000054716344,0.0021764948,0.99650687,0.00065751787],"study_design_scores_gemma":[0.000068285524,0.000031529515,0.00494018,0.0005981793,0.0000507111,0.0002346506,0.0018817225,0.0005857217,0.0009735676,0.008554096,0.9819089,0.00017234973],"about_ca_topic_score_codex":0.0969531,"about_ca_topic_score_gemma":0.0756565,"teacher_disagreement_score":0.0969531,"about_ca_system_score_codex":0.0069385106,"about_ca_system_score_gemma":0.010472648,"threshold_uncertainty_score":0.19277751},"labels":[],"label_agreement":null},{"id":"W2789022759","doi":"10.1016/j.finmar.2021.100632","title":"Speed segmentation on exchanges: Competition for slow flow","year":2021,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Innovation, Science and Economic Development Canada","funders":"","keywords":"Stock exchange; Business; Competition (biology); Industrial organization; Order (exchange); Stock (firearms); Monetary economics; Market segmentation; Quality (philosophy); Segmentation; Economics; Computer science; Marketing; Finance; Engineering; Artificial intelligence","score_opus":0.03406718733883023,"score_gpt":0.23587944492497953,"score_spread":0.2018122575861493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789022759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8974419,0.0003603088,0.007997751,0.004586926,0.000089851565,0.000047929745,0.0001967362,0.0001478211,0.08913066],"genre_scores_gemma":[0.99669206,0.00006122512,0.00033604685,0.0001544403,0.00007444346,0.000005515702,0.000042007436,0.00002998102,0.0026042075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991942,0.0002528753,0.00003203649,0.00012163733,0.00015350143,0.00024574698],"domain_scores_gemma":[0.9855576,0.008475085,0.0025491486,0.00086381665,0.0007496235,0.0018047631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020519295,0.00024105598,0.0010444182,0.0008590987,0.0014375122,0.0060072644,0.0009993812,0.0035858778,0.050763067],"category_scores_gemma":[0.01829106,0.0004590827,0.00048950006,0.000809558,0.0018269174,0.006691967,0.0018926429,0.002461112,0.0017151845],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004807804,0.0006944556,0.0460983,0.00030055823,0.00018071481,0.0009397593,0.0034908117,0.024304865,0.006878147,0.81554055,0.027868103,0.068895936],"study_design_scores_gemma":[0.00095512834,0.0005344674,0.07340202,0.0001027054,0.00017585015,0.00041895374,0.0040655965,0.086624876,0.0012551902,0.8122003,0.020117749,0.00014712768],"about_ca_topic_score_codex":0.0024689117,"about_ca_topic_score_gemma":0.0029126839,"teacher_disagreement_score":0.050763067,"about_ca_system_score_codex":0.0014657199,"about_ca_system_score_gemma":0.00080475316,"threshold_uncertainty_score":0.16981941},"labels":[],"label_agreement":null},{"id":"W2789446326","doi":"10.1142/9789814405461_0020","title":"The Predictive Ability of the Bond-Stock Earnings Yield Differential Model","year":2012,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for the Mathematical Sciences","funders":"","keywords":"Bond; Earnings yield; Economics; Equity (law); Stock (firearms); Financial economics; Earnings; Yield curve; Econometrics; Stock market; Yield (engineering); Earnings per share; Finance; Price–earnings ratio","score_opus":0.04455844642745298,"score_gpt":0.2024039887978942,"score_spread":0.15784554237044124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789446326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85760397,0.002250353,0.121498905,0.0031251134,0.00034772826,0.000054983037,0.0018829816,0.0007445035,0.012491522],"genre_scores_gemma":[0.99475914,0.00031182377,0.0019656643,0.000053797365,0.00006345623,0.000011768745,0.00050202035,0.00002063821,0.002311833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969816,0.00011064075,0.000013948053,0.000087200024,0.000046325014,0.00004366474],"domain_scores_gemma":[0.9951568,0.0036408554,0.00044986335,0.00025865133,0.0003497677,0.00014404162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002083379,0.000746189,0.00057439925,0.00072998455,0.00027365514,0.0016311109,0.0006830286,0.000702856,0.004135902],"category_scores_gemma":[0.011587113,0.00029301812,0.00046965783,0.00054905325,0.00043088783,0.0010255362,0.0007862561,0.0014387524,0.00063747645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031196562,0.00013361494,0.07147141,0.000051533,0.00020572548,0.00026540036,0.00007883349,0.83410066,0.0006845337,0.03019842,0.008640625,0.0538572],"study_design_scores_gemma":[0.000007631559,0.000015632591,0.0032883997,0.00000926933,0.0000102415115,0.00001456972,0.000006272361,0.9888325,0.00009063536,0.007479268,0.00023662492,0.000008959953],"about_ca_topic_score_codex":0.014138807,"about_ca_topic_score_gemma":0.004524313,"teacher_disagreement_score":0.014138807,"about_ca_system_score_codex":0.00066961715,"about_ca_system_score_gemma":0.00055242045,"threshold_uncertainty_score":0.028113067},"labels":[],"label_agreement":null},{"id":"W2791327378","doi":"10.5539/ass.v14n3p1","title":"Determinants of Violations in the SET50 Index Options Pricing Relationships: Put-Call-Futures Parity and Box Spread Tests","year":2018,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kasetsart University","keywords":"Futures contract; Index (typography); Tobit model; Market liquidity; Economics; Forward market; Business; Financial economics; Transaction cost; Actuarial science; Econometrics; Monetary economics; Finance; Computer science","score_opus":0.042788230845322205,"score_gpt":0.2805670558666216,"score_spread":0.2377788250212994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791327378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972288,0.00008925044,0.00071182824,0.00018781552,0.0000124118515,0.000012800754,0.0002555475,0.000010525679,0.0014911576],"genre_scores_gemma":[0.9986375,0.00003378464,0.00022186185,0.000016119431,0.000010633394,0.000010978301,0.00059567386,0.0000043169625,0.00046918323],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965995,0.00088482327,0.0004616617,0.0004333272,0.0012114082,0.0004092995],"domain_scores_gemma":[0.9609928,0.021226488,0.01183709,0.0019745997,0.0026356573,0.00133338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036283524,0.00034187437,0.0004240086,0.0012355185,0.00045890175,0.0016881741,0.0006151159,0.0008395483,0.0044305585],"category_scores_gemma":[0.02691542,0.00018969516,0.00088785787,0.00208696,0.0008613844,0.0021066542,0.0010798759,0.0021766536,0.000603347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013624312,0.0001356999,0.98668087,0.000022493507,0.00008398971,0.00035097453,0.0005049611,0.0016215997,0.00034021886,0.0012942316,0.00064561487,0.0081830695],"study_design_scores_gemma":[0.000009871386,0.0001615673,0.97178143,0.000024767578,0.000059304173,0.00018532775,0.0016633266,0.022495516,0.0007572294,0.0018330825,0.0009957731,0.00003272605],"about_ca_topic_score_codex":0.00600363,"about_ca_topic_score_gemma":0.0034633463,"teacher_disagreement_score":0.00600363,"about_ca_system_score_codex":0.00061126455,"about_ca_system_score_gemma":0.00079019007,"threshold_uncertainty_score":0.019188821},"labels":[],"label_agreement":null},{"id":"W2791672684","doi":"10.5430/afr.v7n1p272","title":"The Strategic Responses from Sophisticated Investors to Inaccurate Forecast of Financial Analysts","year":2018,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Business; Stock (firearms); Finance; Cash; Quality (philosophy); Cash flow; Information quality; Accounting; Information system","score_opus":0.14361909344016546,"score_gpt":0.32727101574310813,"score_spread":0.18365192230294267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791672684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859633,0.00017503992,0.0014070133,0.0010613424,0.000033449036,0.000017678727,0.000039781004,0.000023566994,0.0112789245],"genre_scores_gemma":[0.9984769,0.00008352138,0.00038210332,0.00033947203,0.000033036482,0.000007800473,0.000023554694,0.0000053834374,0.0006480584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964796,0.0017543348,0.0002246252,0.00030535713,0.0009984985,0.00023761559],"domain_scores_gemma":[0.9356513,0.038176477,0.01874139,0.0038597968,0.002686969,0.00088413706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00445999,0.000287974,0.0001987288,0.0007195697,0.0005217974,0.0025451013,0.00029992443,0.0012407847,0.0024404307],"category_scores_gemma":[0.061860308,0.00021745401,0.0001770592,0.00042612216,0.0007676921,0.0015007335,0.0011609613,0.0013926817,0.0004894312],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023069093,0.00032669105,0.6981581,0.00029911377,0.00035635763,0.0015643156,0.041502636,0.004282709,0.036931325,0.015990578,0.004142951,0.19413832],"study_design_scores_gemma":[0.00016252488,0.0009508238,0.87834466,0.00024042105,0.00039641035,0.0016695675,0.03666796,0.017277537,0.019633846,0.027162297,0.017240226,0.0002537326],"about_ca_topic_score_codex":0.0013448034,"about_ca_topic_score_gemma":0.0015971632,"teacher_disagreement_score":0.00445999,"about_ca_system_score_codex":0.00056800526,"about_ca_system_score_gemma":0.00045180824,"threshold_uncertainty_score":0.023586988},"labels":[],"label_agreement":null},{"id":"W2793076901","doi":"10.12735/jfe.v8n1p35","title":"A Short Note on the Potential for a Momentum Based Investment Strategy in Sector ETFs","year":2018,"lang":"en","type":"article","venue":"Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Momentum (technical analysis); Investment (military); Business; Investment strategy; Industrial organization; Economics; Financial economics; Finance","score_opus":0.038518722432159876,"score_gpt":0.2343748197306152,"score_spread":0.19585609729845532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793076901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7809414,0.004565062,0.021071712,0.0532311,0.0005762038,0.00018544178,0.0010824902,0.0002519943,0.13809459],"genre_scores_gemma":[0.9822218,0.0007591812,0.0053459583,0.0010708919,0.00022695234,0.000025327165,0.00018135006,0.000026768452,0.010141756],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986785,0.0004337068,0.00010759943,0.00017039932,0.0004032365,0.0002064998],"domain_scores_gemma":[0.9908606,0.005089956,0.0013749186,0.0007197703,0.0014989288,0.00045578793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041349004,0.00021902107,0.00024766344,0.00038948635,0.0003912488,0.0033902265,0.00045564913,0.0006728035,0.005765908],"category_scores_gemma":[0.010348965,0.00007218726,0.00039947062,0.0005277432,0.00047657243,0.0018532905,0.00067815464,0.00077363075,0.00063578296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012198446,0.00038946213,0.27542502,0.00045695168,0.00027510303,0.0017722605,0.0014554893,0.011806451,0.009731011,0.15779844,0.031165099,0.5085048],"study_design_scores_gemma":[0.000092825765,0.004797777,0.6338916,0.0007323324,0.00027205673,0.0020414349,0.0074080946,0.026085833,0.028465454,0.091421135,0.20461239,0.00017912575],"about_ca_topic_score_codex":0.0021391425,"about_ca_topic_score_gemma":0.00403742,"teacher_disagreement_score":0.005765908,"about_ca_system_score_codex":0.00094958977,"about_ca_system_score_gemma":0.0009705232,"threshold_uncertainty_score":0.021867692},"labels":[],"label_agreement":null},{"id":"W2793324218","doi":"10.1016/j.jeconom.2018.01.007","title":"Ex-post risk premia estimation and asset pricing tests using large cross sections: The regression-calibration approach","year":2018,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Capital asset pricing model; Econometrics; Estimator; Risk premium; Linear regression; Calibration; Regression; Arbitrage pricing theory; Consumption-based capital asset pricing model; Economics; Factor analysis; Regression analysis; Cross-sectional regression; Statistics; Mathematics; Polynomial regression","score_opus":0.10213913121415999,"score_gpt":0.2727703396343131,"score_spread":0.17063120842015309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793324218","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4828622,0.0009468202,0.51003504,0.0007209158,0.000099883044,0.00009360638,0.00074789394,0.0008242112,0.0036693562],"genre_scores_gemma":[0.9587534,0.00033739748,0.035420455,0.00010962,0.0001303576,0.00008371506,0.0012808051,0.00012858848,0.003755615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972525,0.0019608282,0.00010945364,0.0003269353,0.00017043714,0.00017975057],"domain_scores_gemma":[0.9672067,0.0247404,0.0019981682,0.004459275,0.0012391913,0.00035621418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014765172,0.0010355667,0.0011005958,0.0019174261,0.00050355704,0.001305023,0.0020197395,0.001686929,0.005872121],"category_scores_gemma":[0.03828723,0.00088109396,0.0015797137,0.0014557026,0.00065288274,0.0031260876,0.001539032,0.0024592984,0.0009138597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085595855,0.0011230764,0.13260224,0.00021509561,0.0023275877,0.0007915376,0.00025154543,0.6347262,0.0043290257,0.04596676,0.004263801,0.17254712],"study_design_scores_gemma":[0.00008473757,0.00022060458,0.02649582,0.000033153785,0.00028646918,0.0001605058,0.00007945644,0.94163245,0.0036528094,0.026352892,0.00094394427,0.000057167923],"about_ca_topic_score_codex":0.002869978,"about_ca_topic_score_gemma":0.002081543,"teacher_disagreement_score":0.014765172,"about_ca_system_score_codex":0.00040739967,"about_ca_system_score_gemma":0.00069697184,"threshold_uncertainty_score":0.078086615},"labels":[],"label_agreement":null},{"id":"W2794126246","doi":"10.5430/jms.v9n2p1","title":"Corporate Investment and Portfolio Returns in Japan: A Markov Switching Approach","year":2018,"lang":"en","type":"article","venue":"Journal of Management and Strategy","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Chuo University","keywords":"Portfolio; Equity (law); Profitability index; Economics; Financial economics; Markov chain; Investment (military); Capital asset pricing model; Econometrics; Excess return; Market portfolio; Monetary economics; Mathematics; Finance; Statistics","score_opus":0.041586657782152744,"score_gpt":0.21604838176154953,"score_spread":0.1744617239793968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794126246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94143325,0.00067026133,0.05412181,0.0005577307,0.000021318787,0.00004046837,0.0002393944,0.000059604754,0.002856135],"genre_scores_gemma":[0.99573493,0.000420624,0.002098516,0.000040401723,0.000029281946,0.000025009942,0.00019818533,0.000008031023,0.0014449956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911076,0.0003345907,0.00004152364,0.00020743099,0.00009500669,0.00021061918],"domain_scores_gemma":[0.9952472,0.0031784289,0.0008806496,0.0001920069,0.00025657294,0.00024503452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029625627,0.00064236217,0.0011053381,0.001472594,0.0005687472,0.0017814712,0.00085872633,0.0010343638,0.0027857954],"category_scores_gemma":[0.007515886,0.00049708696,0.0012646304,0.00101282,0.0010961096,0.001366501,0.000909344,0.0012467128,0.0002415184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006563853,0.00034414604,0.21479563,0.0001527372,0.00087295356,0.0012829427,0.0011115646,0.62952757,0.002725021,0.11320901,0.0017243411,0.03359775],"study_design_scores_gemma":[0.000024330682,0.000078809986,0.023655983,0.000016977261,0.00012308567,0.000068045185,0.00013293386,0.9592938,0.00017660944,0.016056545,0.00033850258,0.000034386747],"about_ca_topic_score_codex":0.028024869,"about_ca_topic_score_gemma":0.015370961,"teacher_disagreement_score":0.028024869,"about_ca_system_score_codex":0.001442554,"about_ca_system_score_gemma":0.00081439305,"threshold_uncertainty_score":0.055723548},"labels":[],"label_agreement":null},{"id":"W2794262098","doi":"10.1108/jdqs-01-2014-b0003","title":"Laeding and Following Variance Risk Premiums: Evidence from S&amp;P500 and KOSPI200 Options","year":2014,"lang":"en","type":"article","venue":"Journal of Derivatives and Quantitative Studies 선물연구","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Variance risk premium; Risk premium; Economics; Index (typography); Variance (accounting); Predictive power; Econometrics; Realized variance; Predictability; Volatility risk premium; Statistics; Mathematics; Volatility (finance); Stochastic volatility","score_opus":0.10760685682359777,"score_gpt":0.31310711442169087,"score_spread":0.2055002575980931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794262098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99369544,0.0004955033,0.0011443362,0.0003126689,0.000012741649,0.0000068649765,0.00012889993,0.000025061801,0.0041785],"genre_scores_gemma":[0.99930155,0.00013153657,0.00009400934,0.00003427213,0.000018255942,0.0000010848419,0.00013529071,0.0000035577484,0.00028038875],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935895,0.00013961304,0.000049094997,0.00016852385,0.00019665006,0.000087101966],"domain_scores_gemma":[0.9796118,0.010597381,0.00608474,0.0016335006,0.0011356748,0.0009369015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001997457,0.0003338744,0.00029702164,0.0008994708,0.0002524398,0.0015104933,0.00045102998,0.00076350867,0.0023910904],"category_scores_gemma":[0.017597646,0.00016512621,0.0005664819,0.0007448118,0.00068190444,0.0014444676,0.00062907324,0.0010913631,0.00039881788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005352086,0.00028530878,0.9599974,0.00005216498,0.00031238634,0.00037381367,0.00033650195,0.003221887,0.0014106383,0.0053006704,0.0006260574,0.027547946],"study_design_scores_gemma":[0.000024619278,0.00026278477,0.9735324,0.000029700002,0.00020013511,0.00023480065,0.00032559974,0.015245266,0.0014958517,0.007553834,0.0010616705,0.000033300574],"about_ca_topic_score_codex":0.003247488,"about_ca_topic_score_gemma":0.0019386156,"teacher_disagreement_score":0.003247488,"about_ca_system_score_codex":0.00026023283,"about_ca_system_score_gemma":0.00029068528,"threshold_uncertainty_score":0.010563672},"labels":[],"label_agreement":null},{"id":"W2794362620","doi":"10.5539/ibr.v11n3p162","title":"Leverage Effect and Switching of Market Efficiency Post Goods and Services Tax (GST) Imposition","year":2018,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Stock exchange; Leverage (statistics); Monetary economics; Volatility (finance); Stock market; Financial market; Revenue; Financial system; Finance; Economics","score_opus":0.025917761615338944,"score_gpt":0.2945448435632692,"score_spread":0.2686270819479303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794362620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99757993,0.0000959363,0.0002275598,0.00011669253,0.0000061991213,0.000008178759,0.00012858503,0.000008010761,0.0018289173],"genre_scores_gemma":[0.9992817,0.000030387004,0.00002942579,0.00001038634,0.0000074422965,0.000001772804,0.000117955205,0.00000124021,0.00051979395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995377,0.000058265156,0.000045157212,0.00007554617,0.00011624144,0.00016700516],"domain_scores_gemma":[0.9932492,0.0017316336,0.0036980445,0.00037599145,0.00045490934,0.0004902492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087472517,0.0001435766,0.0003213584,0.0006098342,0.00021231287,0.0010413632,0.00028576877,0.00048753008,0.004130185],"category_scores_gemma":[0.0062050456,0.00008989073,0.00040982114,0.0005762615,0.00047131247,0.0007532591,0.00054693944,0.00078551396,0.000333119],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073548174,0.0003868748,0.95350456,0.000054198317,0.0001991066,0.0014303426,0.0004847497,0.0049586277,0.0052020415,0.005120503,0.0011267104,0.026796816],"study_design_scores_gemma":[0.000008520335,0.0001992294,0.99263316,0.000008839456,0.00003761313,0.00011930376,0.00036438706,0.003866399,0.0014466103,0.000682252,0.0006202607,0.000013398577],"about_ca_topic_score_codex":0.007001656,"about_ca_topic_score_gemma":0.005767868,"teacher_disagreement_score":0.007001656,"about_ca_system_score_codex":0.00063535443,"about_ca_system_score_gemma":0.00032437462,"threshold_uncertainty_score":0.013921857},"labels":[],"label_agreement":null},{"id":"W2794470475","doi":"10.1142/s0217590817500254","title":"MUTUAL FUND PERFORMANCE IN DEVELOPING AND ADVANCED WORLD NETWORKS","year":2018,"lang":"en","type":"article","venue":"The Singapore Economic Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Mutual fund; Closed-end fund; Open-end fund; Business; Equity (law); Income fund; Manager of managers fund; Index fund; Fund administration; Target date fund; Passive management; Fund of funds; Finance; Economics; Financial economics; Institutional investor","score_opus":0.05525663719964153,"score_gpt":0.2539113477027054,"score_spread":0.19865471050306388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794470475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946202,0.000249165,0.0008492683,0.00025478497,0.0000037300722,0.0000057319294,0.0001791228,0.000007151586,0.003830934],"genre_scores_gemma":[0.9995933,0.00007874712,0.00009502104,0.000006209702,0.0000050953017,0.000002323678,0.000067553534,8.150827e-7,0.00015102462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959236,0.00012950867,0.00003280562,0.00006382813,0.00007064476,0.00011082905],"domain_scores_gemma":[0.99351114,0.0017073504,0.0035938688,0.0002606885,0.0004415568,0.0004854599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012401751,0.00014342293,0.00016691185,0.0025689905,0.00031990826,0.0019276702,0.00019541293,0.0003282073,0.001462133],"category_scores_gemma":[0.010316072,0.000067419656,0.00018709789,0.0022346294,0.0005975176,0.0025715772,0.0013297551,0.00027699434,0.00014314557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015879913,0.00003853328,0.9548056,0.000026862266,0.00010036685,0.00025121777,0.0010448194,0.0066909394,0.0003549238,0.012945767,0.0006527917,0.022929432],"study_design_scores_gemma":[0.000015967444,0.0001290082,0.95364136,0.000036796726,0.000072846065,0.00033250733,0.0025739463,0.027330084,0.00052540126,0.0120896995,0.0032265973,0.000025882968],"about_ca_topic_score_codex":0.004653277,"about_ca_topic_score_gemma":0.0042243483,"teacher_disagreement_score":0.004653277,"about_ca_system_score_codex":0.0007827168,"about_ca_system_score_gemma":0.00028071876,"threshold_uncertainty_score":0.009252369},"labels":[],"label_agreement":null},{"id":"W2794569507","doi":"10.2139/ssrn.3127825","title":"Do Hedge Funds Profit From Public Information?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedge fund; Public information; Business; Public fund; Quarter (Canadian coin); Finance; Profit (economics); Fund of funds; Economics; Microeconomics; Public economics; Internet privacy; Market liquidity; Computer science","score_opus":0.022718862011287123,"score_gpt":0.21378065270031962,"score_spread":0.1910617906890325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794569507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7710608,0.00973769,0.010505684,0.057094395,0.0005086669,0.00004522098,0.00088615547,0.00024187796,0.14991957],"genre_scores_gemma":[0.9949478,0.0011208741,0.00020079143,0.00052799785,0.00022076382,0.0000050667877,0.000058417034,0.000009873606,0.0029085157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999328,0.000162054,0.000027425094,0.000094989744,0.00016666483,0.00022090538],"domain_scores_gemma":[0.98856455,0.0064282953,0.003221069,0.0007393065,0.0005585818,0.0004882039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018453784,0.00030327713,0.00060507486,0.0008291988,0.00045276058,0.0045970217,0.0005473447,0.0037925672,0.010800634],"category_scores_gemma":[0.022436874,0.00028009264,0.00041135625,0.00066004536,0.0013955196,0.0067989454,0.0010711097,0.0013970886,0.0016270912],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032000402,0.0007841535,0.08644055,0.00065061083,0.00067113404,0.0014531972,0.0013181926,0.013042599,0.0027167015,0.5816278,0.05162887,0.25646612],"study_design_scores_gemma":[0.00053460634,0.00025912,0.03166574,0.0001745987,0.0004080933,0.0006935886,0.0019502834,0.021322535,0.0033661006,0.9081538,0.031407826,0.00006382332],"about_ca_topic_score_codex":0.0009608842,"about_ca_topic_score_gemma":0.0009431016,"teacher_disagreement_score":0.010800634,"about_ca_system_score_codex":0.0009198087,"about_ca_system_score_gemma":0.0008640552,"threshold_uncertainty_score":0.03613168},"labels":[],"label_agreement":null},{"id":"W2794762775","doi":"10.5430/ijfr.v9n2p191","title":"Value and Size Effects in the Stock Market of the Philippines","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Stock market; Stock (firearms); Warrant; Capital market; China; Emerging markets; Market size; Financial economics; Monetary economics; International economics; Macroeconomics; Finance; Geography","score_opus":0.05230209357288398,"score_gpt":0.3245061887403077,"score_spread":0.2722040951674237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794762775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934802,0.0008992608,0.00037863778,0.00081723655,0.000033285727,0.00000991681,0.00039234746,0.000028025008,0.0039611296],"genre_scores_gemma":[0.99870586,0.00015458449,0.00006517339,0.000051472147,0.00003844358,0.0000037623347,0.00021826556,0.000008778001,0.00075365487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927825,0.00023817936,0.000050204846,0.00015470038,0.00018980788,0.00008894071],"domain_scores_gemma":[0.9840985,0.008509407,0.0042479164,0.000944696,0.0012745062,0.0009249762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002295033,0.000245779,0.00033722998,0.0011420257,0.00036854096,0.0011507488,0.0003740737,0.00036454923,0.006387249],"category_scores_gemma":[0.0135804955,0.00012836988,0.0004534815,0.0009909907,0.0005783882,0.0013096574,0.0006823374,0.0007867504,0.00047555755],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004942573,0.00016320638,0.96550816,0.00009814068,0.0004527699,0.0006895132,0.0009088087,0.0016371683,0.0012028123,0.0024474596,0.0029265408,0.023471178],"study_design_scores_gemma":[0.00001972852,0.00010778945,0.9936094,0.000017445014,0.00011753758,0.000077074204,0.0005271516,0.002815296,0.00033903404,0.0009826493,0.0013728575,0.000014094875],"about_ca_topic_score_codex":0.015755756,"about_ca_topic_score_gemma":0.009820592,"teacher_disagreement_score":0.015755756,"about_ca_system_score_codex":0.00043919747,"about_ca_system_score_gemma":0.00041970052,"threshold_uncertainty_score":0.031328082},"labels":[],"label_agreement":null},{"id":"W2795418069","doi":"10.3905/jpm.2018.1.078","title":"Predicting Stock Market Crashes in China","year":2018,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stock exchange; Composite index; Earnings; Business; Index (typography); Stock (firearms); Predictive power; Economics; Econometrics; Financial economics; Finance; Geography","score_opus":0.018485524755561474,"score_gpt":0.21881238796981745,"score_spread":0.20032686321425597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795418069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99779344,0.00017296792,0.0004594388,0.000104580795,0.0000066879475,0.000017317512,0.0007945366,0.00003500934,0.00061609386],"genre_scores_gemma":[0.9976544,0.00015924932,0.00020407204,0.000016530428,0.000010254993,0.000009820853,0.0015938813,0.0000024305627,0.0003494324],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997228,0.000030702704,0.000035126814,0.00006667213,0.00009074218,0.000054012417],"domain_scores_gemma":[0.99895763,0.00018688342,0.00031788825,0.0000758549,0.00031415446,0.00014763915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095351675,0.0007935302,0.00036932863,0.0023724425,0.00036357951,0.00067101174,0.0004571573,0.0003259031,0.0007146104],"category_scores_gemma":[0.002098049,0.0002043691,0.0005055616,0.0014359396,0.00017913435,0.00067529205,0.0006703202,0.00033433884,0.00020103829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005701802,0.000046775778,0.96988815,0.00002164612,0.00005275312,0.00015023263,0.00008000267,0.012046462,0.0002713749,0.00015997476,0.0010256751,0.016199956],"study_design_scores_gemma":[0.000012400964,0.000080107246,0.878009,0.000015467862,0.000045641293,0.000046890906,0.00015938019,0.119993925,0.00066910475,0.0003010321,0.0006485485,0.000018515042],"about_ca_topic_score_codex":0.112127274,"about_ca_topic_score_gemma":0.077738784,"teacher_disagreement_score":0.112127274,"about_ca_system_score_codex":0.0011491718,"about_ca_system_score_gemma":0.001131882,"threshold_uncertainty_score":0.22294927},"labels":[],"label_agreement":null},{"id":"W2796809447","doi":"10.5539/ijef.v10n5p165","title":"An Empirical Study of Investors’ Disposition Effect in China Based on Open Data from the Chinese Stock Markets","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disposition effect; Sophistication; Market capitalization; Stock market; Business; Capitalization; Financial economics; Monetary economics; China; Stock (firearms); Economics","score_opus":0.042747894396832374,"score_gpt":0.3087596888293287,"score_spread":0.26601179443249634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796809447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992656,0.00006165473,0.000081205464,0.000028590852,0.000002506933,0.0000048117854,0.00023959772,0.0000017510896,0.0003142261],"genre_scores_gemma":[0.99913436,0.00004766168,0.000045470377,0.000012782624,0.000007712022,0.0000037466725,0.00056471623,6.623868e-7,0.0001828286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949527,0.000082993436,0.00006222445,0.000092820505,0.00013709834,0.00012953066],"domain_scores_gemma":[0.9955544,0.0009180633,0.0021826671,0.00032131182,0.0005131156,0.000510385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013192872,0.0002594935,0.00028292497,0.0012892798,0.00043555003,0.0005657522,0.0002808644,0.00031450362,0.001285254],"category_scores_gemma":[0.0032503216,0.00014304841,0.00044730733,0.001616029,0.00034066685,0.00070421404,0.00061651395,0.0003302075,0.00015727182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022245738,0.00001854107,0.99739873,0.000008202964,0.000037390782,0.00006868651,0.00015038582,0.00014500954,0.00015470243,0.00010291448,0.00012352456,0.001769569],"study_design_scores_gemma":[0.0000025706652,0.00002007913,0.998776,0.0000029959488,0.000015237552,0.000025152804,0.00012641419,0.0007639167,0.00008135803,0.00003110759,0.00015206974,0.0000030333026],"about_ca_topic_score_codex":0.028965062,"about_ca_topic_score_gemma":0.04675311,"teacher_disagreement_score":0.028965062,"about_ca_system_score_codex":0.00061922456,"about_ca_system_score_gemma":0.000716781,"threshold_uncertainty_score":0.05759293},"labels":[],"label_agreement":null},{"id":"W2798231393","doi":"10.5430/ijfr.v9n2p216","title":"An Empirical Analysis of the Impact of Fund Manager’s Personal Characteristics on Fund Performance in China’s Fund Market - Based on DEA Model and Threshold Panel Model","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Manager of managers fund; Fund administration; Business; Target date fund; China; Income fund; Index fund; Finance; Panel data; Investment fund; Open-end fund; Accounting; Economics; Econometrics; Institutional investor; Political science","score_opus":0.20031548727176365,"score_gpt":0.390725263759072,"score_spread":0.19040977648730836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798231393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99919266,0.000051002226,0.0003328463,0.00005520307,0.0000021438261,0.0000067922792,0.00009360406,0.0000033716058,0.00026237642],"genre_scores_gemma":[0.999443,0.000030176025,0.00009592903,0.0000071341346,0.0000043871096,0.00000547433,0.0001715201,8.2903745e-7,0.0002414569],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992254,0.00023920885,0.000058028607,0.00014137044,0.00014377279,0.00019219687],"domain_scores_gemma":[0.99389136,0.003236607,0.0014065193,0.00037344458,0.00048231488,0.0006097656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002720134,0.00035197692,0.00043574788,0.0012620048,0.00039303888,0.0011098941,0.00046912406,0.0004623673,0.0017298105],"category_scores_gemma":[0.005608414,0.00018214295,0.0008319284,0.0010354359,0.0003132065,0.0010708036,0.00057567767,0.00049340556,0.0001457772],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011742567,0.00010510119,0.9872612,0.000023727118,0.00017131165,0.00028786046,0.00032168604,0.0042351345,0.0003039456,0.00058008364,0.00026919506,0.0063234433],"study_design_scores_gemma":[0.000010623518,0.00007590632,0.96353036,0.0000065733466,0.00008246487,0.000059852748,0.000446199,0.035043884,0.00022805919,0.00027149834,0.00023481123,0.000009717834],"about_ca_topic_score_codex":0.018539391,"about_ca_topic_score_gemma":0.012191227,"teacher_disagreement_score":0.018539391,"about_ca_system_score_codex":0.00082792377,"about_ca_system_score_gemma":0.00089752453,"threshold_uncertainty_score":0.03686297},"labels":[],"label_agreement":null},{"id":"W2799794826","doi":"10.5430/ijfr.v9n3p20","title":"Competition Between Volatility and Overall Market Gain and the Performance of Leveraged Index Funds","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Leverage (statistics); Leverage effect; Economics; Econometrics; Financial economics; Index (typography); Monetary economics; Autoregressive conditional heteroskedasticity; Computer science; Statistics; Mathematics","score_opus":0.06610032944511085,"score_gpt":0.3100708180736321,"score_spread":0.24397048862852128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799794826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62098044,0.0013715456,0.34982538,0.0016272742,0.0000791794,0.00009827654,0.00039070877,0.0002958886,0.025331214],"genre_scores_gemma":[0.99413484,0.00028649447,0.0028668318,0.00003486142,0.00002947565,0.00003538809,0.000049921342,0.000019832412,0.0025423127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992938,0.00022630714,0.000030118279,0.00008555909,0.00017608538,0.0001881233],"domain_scores_gemma":[0.99612033,0.0025021175,0.00082211825,0.00017956685,0.00021713466,0.00015870086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027220557,0.0010346604,0.0010711689,0.00096697954,0.00023445193,0.0024765108,0.0013256245,0.0016851511,0.002323325],"category_scores_gemma":[0.012111598,0.0004778716,0.0010064897,0.00067001267,0.0014227498,0.003001976,0.0012094693,0.0012507727,0.00040632123],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019404358,0.0000868763,0.004682544,0.00008691094,0.00008105117,0.00043951737,0.000092240814,0.78085744,0.010339683,0.19423243,0.000696706,0.008210511],"study_design_scores_gemma":[0.00001222644,0.00007492582,0.0012091704,0.000009463975,0.000017875518,0.00010944612,0.000012404903,0.9766217,0.000984277,0.020740045,0.00018562753,0.000022922171],"about_ca_topic_score_codex":0.0013387722,"about_ca_topic_score_gemma":0.0006192803,"teacher_disagreement_score":0.0027220557,"about_ca_system_score_codex":0.0013090594,"about_ca_system_score_gemma":0.001006413,"threshold_uncertainty_score":0.014395773},"labels":[],"label_agreement":null},{"id":"W2800957125","doi":"10.5539/ijef.v10n5p254","title":"Capturing Profitability in Asset Pricing Models for Japanese Equities 1994-2016","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Capital asset pricing model; Economics; Econometrics; Financial economics; Value premium; Portfolio; Stock (firearms); Gross profit; Predictive power; Profit (economics); Equity (law); Equity premium puzzle; Microeconomics; Finance","score_opus":0.045540608779040835,"score_gpt":0.24790575958210814,"score_spread":0.2023651508030673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800957125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844593,0.00051229727,0.012609185,0.00031011118,0.000013861526,0.000024069914,0.00063166284,0.000058161742,0.0013814514],"genre_scores_gemma":[0.9952495,0.00018503911,0.002145805,0.000038705235,0.000020641257,0.00002547533,0.0011507204,0.000009351941,0.0011748591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966955,0.00008502081,0.000026459213,0.00010424778,0.000035721216,0.00007900316],"domain_scores_gemma":[0.9991084,0.00036747826,0.00022774613,0.00009278847,0.00011735011,0.00008629878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001474741,0.00081524556,0.0007276665,0.0012028752,0.00049911404,0.0016582144,0.0012970571,0.0010836269,0.0021881964],"category_scores_gemma":[0.004033608,0.00029749522,0.0011238358,0.0012348249,0.0004578627,0.0017203424,0.00088669197,0.0011080417,0.00045653692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029795876,0.00029928962,0.4321603,0.00008805881,0.0003486981,0.0006051772,0.00043163678,0.50897706,0.0014231843,0.016580572,0.0024133543,0.036374852],"study_design_scores_gemma":[0.000022929536,0.00008771434,0.06896206,0.0000193722,0.00011422205,0.00013019948,0.00012900836,0.92220294,0.00032336736,0.006931953,0.0010441235,0.000032028245],"about_ca_topic_score_codex":0.058063947,"about_ca_topic_score_gemma":0.037534416,"teacher_disagreement_score":0.058063947,"about_ca_system_score_codex":0.0010671177,"about_ca_system_score_gemma":0.0007934017,"threshold_uncertainty_score":0.11545199},"labels":[],"label_agreement":null},{"id":"W2801090544","doi":"10.1108/rbf-04-2017-0041","title":"Confucius confusion: analyst forecast dispersion and business cycles","year":2018,"lang":"en","type":"article","venue":"Review of Behavioral Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Overconfidence effect; Business cycle; Earnings; Dispersion (optics); Economics; Econometrics; Financial economics; Accounting; Macroeconomics","score_opus":0.050051544041080184,"score_gpt":0.27806074654925633,"score_spread":0.22800920250817613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801090544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9422641,0.028723015,0.005375662,0.008997235,0.00032710104,0.000025570467,0.0003815288,0.000050108585,0.013855667],"genre_scores_gemma":[0.9956547,0.0026826803,0.00044791144,0.00031350026,0.00039720922,0.000005218334,0.000108799104,0.0000065903796,0.00038333202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951776,0.0022247508,0.00047849442,0.0004815956,0.0014533099,0.00018426662],"domain_scores_gemma":[0.8315301,0.09307254,0.059587456,0.0039404687,0.010301873,0.0015675594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00795331,0.00027911086,0.0003111345,0.0023536552,0.00047232467,0.0024564315,0.0005607327,0.000681959,0.0016015139],"category_scores_gemma":[0.09230045,0.00016586205,0.00028267046,0.0024228918,0.001029316,0.002184647,0.0010084267,0.0011468012,0.00022569096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003147392,0.0000690954,0.8759437,0.00019436658,0.00029547073,0.00021113793,0.002351725,0.0023107429,0.0002684032,0.005540642,0.0038699636,0.10863007],"study_design_scores_gemma":[0.000019471277,0.00017190202,0.9416509,0.000651121,0.00025348284,0.0008531126,0.0046242056,0.012697691,0.0009205197,0.029112104,0.00896124,0.000084314255],"about_ca_topic_score_codex":0.0054522837,"about_ca_topic_score_gemma":0.003741606,"teacher_disagreement_score":0.00795331,"about_ca_system_score_codex":0.0010869168,"about_ca_system_score_gemma":0.0008040258,"threshold_uncertainty_score":0.042061687},"labels":[],"label_agreement":null},{"id":"W2801850094","doi":"","title":"Strategic Beta and Style Investing: Implication of a (In)dependent Sorting","year":2017,"lang":"en","type":"article","venue":"Open Repository and Bibliography (University of Liège)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Style (visual arts); Sorting; BETA (programming language); Business; Computer science; History","score_opus":0.05365676155601308,"score_gpt":0.23254970519120025,"score_spread":0.17889294363518715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801850094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98146343,0.00014369606,0.007001033,0.00030914243,0.00002750754,0.000021640677,0.0003648871,0.0000472214,0.010621458],"genre_scores_gemma":[0.99586403,0.00005570266,0.0017490743,0.00008043805,0.000024038272,0.000010078848,0.00037826045,0.000014195207,0.0018243094],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992337,0.00022413286,0.00006498386,0.00016355133,0.00017269654,0.00014080651],"domain_scores_gemma":[0.9835686,0.006145495,0.0039796913,0.0031219532,0.0014166269,0.0017675813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029981635,0.00067045784,0.0005358717,0.00121882,0.00038831553,0.002578611,0.00054607395,0.00089678675,0.0056114015],"category_scores_gemma":[0.021477535,0.00017574457,0.0006296572,0.0014508864,0.0008260112,0.0014840553,0.0010439283,0.0011937647,0.0009795588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014961117,0.0009186369,0.84249973,0.00012972455,0.0005669817,0.00049082685,0.0007071746,0.015999017,0.010139769,0.040200137,0.0042977375,0.082554124],"study_design_scores_gemma":[0.00016735855,0.0013869518,0.84847504,0.00006548238,0.00043930268,0.0006305285,0.00089187,0.06718169,0.009714495,0.067472056,0.0034745224,0.0001005501],"about_ca_topic_score_codex":0.001588678,"about_ca_topic_score_gemma":0.0012488009,"teacher_disagreement_score":0.0056114015,"about_ca_system_score_codex":0.0004508862,"about_ca_system_score_gemma":0.00048187724,"threshold_uncertainty_score":0.018771946},"labels":[],"label_agreement":null},{"id":"W2802749159","doi":"","title":"Evidence of Idiosyncratic Seasonality in ETFs Performance","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Seasonality; Tracking error; Econometrics; January effect; Replication (statistics); Systematic risk; Statistics; Economics; Demography; Geography; Mathematics","score_opus":0.09987701956242329,"score_gpt":0.31231082577974867,"score_spread":0.21243380621732538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802749159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931833,0.0003761419,0.001742519,0.00014578937,0.00002665947,0.000011194301,0.0006784904,0.000053671283,0.0037823417],"genre_scores_gemma":[0.9984937,0.000110510184,0.00021042007,0.000019533516,0.000029411725,0.000003423715,0.0004606315,0.000013528072,0.0006587779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990023,0.00016320466,0.00012871825,0.00026503444,0.00030309302,0.00013765012],"domain_scores_gemma":[0.98507845,0.0051163854,0.005812694,0.0018802773,0.001468405,0.00064380764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023981335,0.00019180129,0.0002675943,0.00074850325,0.0001394123,0.0008632491,0.0002847524,0.00035616025,0.0025825924],"category_scores_gemma":[0.012825572,0.00011818137,0.0002865616,0.001006799,0.00031918078,0.0006180745,0.0005409605,0.00041145764,0.00058453926],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002947213,0.000082468956,0.95803094,0.000053205356,0.00014696788,0.00014997294,0.00027185306,0.0025273424,0.0018508303,0.00083456084,0.0010098985,0.03474722],"study_design_scores_gemma":[0.0000040295995,0.00006422131,0.99663264,0.000007198447,0.00001761333,0.00006299016,0.0000768413,0.0012631151,0.0004334286,0.0005422848,0.00088927627,0.000006429286],"about_ca_topic_score_codex":0.002839944,"about_ca_topic_score_gemma":0.0023608778,"teacher_disagreement_score":0.002839944,"about_ca_system_score_codex":0.00030871487,"about_ca_system_score_gemma":0.00024101186,"threshold_uncertainty_score":0.012682676},"labels":[],"label_agreement":null},{"id":"W2802905504","doi":"10.1007/s11142-018-9440-8","title":"The market reaction to bank regulatory reports","year":2018,"lang":"en","type":"article","venue":"Review of Accounting Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporate finance; Public finance; Earnings; Business; Quarter (Canadian coin); Volatility (finance); Stock (firearms); Stock price; Economics; Finance; Accounting; Monetary economics; Engineering","score_opus":0.034045787057389705,"score_gpt":0.27428181484931274,"score_spread":0.24023602779192305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802905504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57204807,0.08570062,0.0045130365,0.110837825,0.0050424333,0.0001629773,0.0016976164,0.00032967908,0.21966779],"genre_scores_gemma":[0.9586907,0.021892074,0.00047450725,0.00610718,0.0047955103,0.000036013622,0.00026534798,0.000061170285,0.0076774643],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99614054,0.0016091317,0.00021776927,0.00029073766,0.0014355485,0.00030623146],"domain_scores_gemma":[0.9299491,0.035903692,0.025298458,0.001356377,0.0063807876,0.0011115541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057632923,0.00028842213,0.00039567117,0.0026943295,0.00049729215,0.0067002284,0.0005771798,0.003548907,0.006525605],"category_scores_gemma":[0.0574195,0.0002665404,0.00033018578,0.0027877793,0.0015005012,0.0033083872,0.00073982985,0.0023718444,0.0016180851],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018171329,0.0007776864,0.17530175,0.0016324864,0.00066784106,0.0017337478,0.0047730384,0.006707139,0.007119217,0.19702455,0.17450367,0.42794183],"study_design_scores_gemma":[0.00026018004,0.00063163455,0.5444224,0.0015602944,0.0005580315,0.0012409951,0.00851308,0.01248235,0.0040444257,0.11644143,0.30953696,0.0003081751],"about_ca_topic_score_codex":0.003347231,"about_ca_topic_score_gemma":0.002434126,"teacher_disagreement_score":0.0067002284,"about_ca_system_score_codex":0.0016902576,"about_ca_system_score_gemma":0.00093573384,"threshold_uncertainty_score":0.03047955},"labels":[],"label_agreement":null},{"id":"W2803167755","doi":"10.1007/s11579-018-0216-5","title":"Dynamic asset allocation with event risk, transaction costs and predictable returns","year":2018,"lang":"en","type":"article","venue":"Mathematics and Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Asset allocation; Mathematical finance; Transaction cost; Econometrics; Predictability; Event (particle physics); Actuarial science; Certainty; Economics; Financial economics; Risk premium; Computer science; Microeconomics; Mathematics; Portfolio","score_opus":0.01013035192246691,"score_gpt":0.1923162667118066,"score_spread":0.18218591478933968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803167755","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35769913,0.002047497,0.6218251,0.0028269948,0.00014215267,0.00007518488,0.0003039174,0.0001324733,0.014947587],"genre_scores_gemma":[0.97668046,0.00077119836,0.010297778,0.000068306734,0.00011458802,0.000050499697,0.00011783473,0.00003156449,0.011867798],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986394,0.00056426105,0.000073656105,0.00028637657,0.00021010786,0.00022612119],"domain_scores_gemma":[0.99184227,0.0053102574,0.001422993,0.00052378647,0.0003948936,0.0005057732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002745539,0.00090873556,0.0016453313,0.0009363711,0.00043365898,0.004224968,0.0019564116,0.0023402025,0.006094257],"category_scores_gemma":[0.016497303,0.0008405497,0.00075986935,0.0010554739,0.0022547022,0.007263486,0.0017550881,0.001934238,0.0004773278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013219145,0.000088101326,0.0022884207,0.00006990103,0.00007736217,0.00033047973,0.00007486438,0.27333495,0.0005549499,0.7128244,0.0010300752,0.009194371],"study_design_scores_gemma":[0.000039992698,0.000044196502,0.0010488614,0.000012397976,0.00002553934,0.00012973114,0.000046856363,0.45949233,0.0001329512,0.53841835,0.00058602786,0.000022776463],"about_ca_topic_score_codex":0.0016772769,"about_ca_topic_score_gemma":0.0011160908,"teacher_disagreement_score":0.006094257,"about_ca_system_score_codex":0.0014706756,"about_ca_system_score_gemma":0.0009255493,"threshold_uncertainty_score":0.020387292},"labels":[],"label_agreement":null},{"id":"W2803872485","doi":"10.1111/1911-3846.12466","title":"Fundamental Analysis: Combining the Search for Quality with the Search for Value","year":2018,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stock (firearms); Econometrics; Hedge; Quality (philosophy); Value (mathematics); Economics; Computer science; Financial economics; Mathematics; Statistics; Engineering","score_opus":0.2069652180204567,"score_gpt":0.3713368740658956,"score_spread":0.1643716560454389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803872485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50793654,0.0017518227,0.47107986,0.0035108484,0.00015898109,0.00015909849,0.00093060517,0.00044130135,0.014031023],"genre_scores_gemma":[0.9607761,0.00029187926,0.03722623,0.00012560708,0.0001551897,0.000026996953,0.000573752,0.00004015053,0.00078423385],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976083,0.00092255266,0.00015160107,0.0003965472,0.0007095725,0.00021133508],"domain_scores_gemma":[0.97208023,0.015972892,0.005327723,0.002129686,0.003395445,0.0010940041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007570471,0.0006776029,0.0011767856,0.0061306637,0.00052382087,0.0046088044,0.0011382174,0.0012468671,0.0026715943],"category_scores_gemma":[0.048280735,0.00041865677,0.0008508774,0.0031596152,0.00117738,0.0056313626,0.0030143333,0.001957274,0.0004108448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043886818,0.00040143245,0.29491773,0.00022208669,0.0006890053,0.00035371902,0.00081270345,0.18851653,0.0022617828,0.13833389,0.009197729,0.36385456],"study_design_scores_gemma":[0.00005381248,0.00016897528,0.038836993,0.00007504213,0.00008318377,0.00008097725,0.00032068932,0.779464,0.0012043967,0.17757794,0.0020402898,0.0000936768],"about_ca_topic_score_codex":0.005737856,"about_ca_topic_score_gemma":0.004336978,"teacher_disagreement_score":0.007570471,"about_ca_system_score_codex":0.0012206715,"about_ca_system_score_gemma":0.0016715737,"threshold_uncertainty_score":0.040036976},"labels":[],"label_agreement":null},{"id":"W2805317231","doi":"10.1108/mrr-06-2017-0192","title":"Abnormal returns on Canadian insider purchases before press releases","year":2018,"lang":"en","type":"article","venue":"Management Research Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Insider; Event study; Shareholder; Business; Corporate governance; Insider trading; Commission; Accounting; Abnormal return; Originality; Initial public offering; Stock (firearms); Asset (computer security); Value (mathematics); Mergers and acquisitions; Stock exchange; Shareholder value; Finance","score_opus":0.16779672917003463,"score_gpt":0.32709643650820763,"score_spread":0.159299707338173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805317231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96240866,0.014563123,0.000539888,0.000755151,0.00007247265,0.00005490106,0.0068818615,0.00005619217,0.014667772],"genre_scores_gemma":[0.986089,0.0056248805,0.00026970424,0.000093548704,0.000088881774,0.000011697722,0.0044231173,0.000009970775,0.0033891038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982735,0.00013468922,0.00010509734,0.00014740613,0.001148759,0.00019061712],"domain_scores_gemma":[0.9777119,0.0035826943,0.011100877,0.0006104493,0.0061447765,0.0008492838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019561464,0.0003268278,0.00043812912,0.0026192775,0.00034822378,0.0013497917,0.00044573308,0.0003456102,0.003072722],"category_scores_gemma":[0.011997647,0.00012528853,0.0004479544,0.003599828,0.00040306943,0.0004891404,0.0002859696,0.0003634388,0.00044334267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036400603,0.000063262414,0.94369495,0.0004142764,0.0002630382,0.00038301392,0.00028256315,0.0010465337,0.0008306173,0.0012013293,0.0050134407,0.046443053],"study_design_scores_gemma":[0.000004319445,0.000037400318,0.996167,0.000036334113,0.000058348614,0.00006524429,0.00011776149,0.00046123101,0.00024046103,0.000050269344,0.002750755,0.00001068757],"about_ca_topic_score_codex":0.5675464,"about_ca_topic_score_gemma":0.58343035,"teacher_disagreement_score":0.43245357,"about_ca_system_score_codex":0.0041398853,"about_ca_system_score_gemma":0.0043236963,"threshold_uncertainty_score":0.8700007},"labels":[],"label_agreement":null},{"id":"W2807114145","doi":"10.7939/r3td9nn9k","title":"Three Essays in Financial Economics: the Interactions of Stocks and Fixed Income Securities","year":2017,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Fixed income; Finance; Business; Financial economics","score_opus":0.015480291294625356,"score_gpt":0.17327685073733345,"score_spread":0.1577965594427081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807114145","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036698963,0.3271564,0.027372306,0.31359744,0.038044102,0.00012389703,0.0009837006,0.00021817838,0.25580502],"genre_scores_gemma":[0.34170955,0.23068029,0.014025791,0.047759697,0.072069496,0.00034484226,0.0009631252,0.00043471504,0.29201254],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993668,0.00015432683,0.00003942089,0.00009392711,0.00028298714,0.00006251146],"domain_scores_gemma":[0.9957332,0.0027181346,0.0002732958,0.00019426372,0.0007240268,0.0003571396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015793623,0.0008149442,0.00051737303,0.002144857,0.0015211332,0.0042207497,0.00059203187,0.0015900392,0.0077322153],"category_scores_gemma":[0.0067408127,0.0002719326,0.00084703614,0.0018291032,0.00391887,0.0036133614,0.0012503946,0.003132412,0.0017685782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000875791,0.00013014449,0.004655061,0.0006351479,0.000086063745,0.00022640591,0.0023607905,0.0013763293,0.0011816754,0.41917315,0.42768627,0.14240132],"study_design_scores_gemma":[0.000024271216,0.00008086803,0.008709294,0.0009321444,0.00004134366,0.00020201926,0.0012245541,0.0009030377,0.0004878999,0.22349809,0.7638579,0.000038562597],"about_ca_topic_score_codex":0.002429634,"about_ca_topic_score_gemma":0.0021208923,"teacher_disagreement_score":0.0077322153,"about_ca_system_score_codex":0.0021755365,"about_ca_system_score_gemma":0.0021857428,"threshold_uncertainty_score":0.025866807},"labels":[],"label_agreement":null},{"id":"W2807407304","doi":"10.2139/ssrn.3098295","title":"Trade Volume Choice and Price Discovery: Evidence from Deutsche BBrse","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; HEC Montréal","funders":"","keywords":"Price discovery; Volume (thermodynamics); Economics; Econometrics; Financial economics","score_opus":0.022986604187017777,"score_gpt":0.22442417510288104,"score_spread":0.20143757091586326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807407304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973204,0.0039905747,0.0003797054,0.000724334,0.00006033869,0.000014907337,0.01135086,0.000033385997,0.01024181],"genre_scores_gemma":[0.9866064,0.0014545554,0.0003018554,0.000111344496,0.00008510043,0.000009837795,0.009256203,0.000019166513,0.002155539],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982692,0.00035475104,0.00021977602,0.00033147517,0.0006242068,0.00020058123],"domain_scores_gemma":[0.9600979,0.019613253,0.014387663,0.0028161323,0.0019600259,0.0011249783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025858667,0.00036514938,0.0005173935,0.0040361374,0.00049427425,0.0030601025,0.00069864176,0.0012147247,0.0067252824],"category_scores_gemma":[0.016639944,0.0003735646,0.00041898017,0.005847069,0.00093382795,0.0023509893,0.0010718339,0.00074193603,0.0024701275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003757365,0.00052073615,0.92925787,0.00036776834,0.0006919544,0.00071542326,0.0010186073,0.001467268,0.00115316,0.004344197,0.013822725,0.042882863],"study_design_scores_gemma":[0.00017834132,0.000220647,0.9743173,0.00013286257,0.0002918301,0.0006267003,0.000948397,0.0013179211,0.0016531908,0.002969549,0.017271617,0.00007161542],"about_ca_topic_score_codex":0.007257898,"about_ca_topic_score_gemma":0.0076706973,"teacher_disagreement_score":0.007257898,"about_ca_system_score_codex":0.00054510986,"about_ca_system_score_gemma":0.00038245268,"threshold_uncertainty_score":0.02249831},"labels":[],"label_agreement":null},{"id":"W2808495722","doi":"10.1111/irfi.12203","title":"Institutional Ownership and Future Stock Returns: An International Perspective","year":2018,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Institutional investor; Stock (firearms); Portfolio; Business; Financial economics; Monetary economics; Quarter (Canadian coin); Economics; Econometrics; Corporate governance; Finance","score_opus":0.036815199056783925,"score_gpt":0.28559907404376655,"score_spread":0.24878387498698262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808495722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778349,0.007820179,0.0008439295,0.0016076316,0.000043372365,0.000005268373,0.0009974241,0.000013738767,0.010833527],"genre_scores_gemma":[0.99779224,0.0014078949,0.00009604196,0.000030382567,0.000054234424,0.0000011136823,0.00024461988,0.000002009467,0.00037147853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998229,0.000040591898,0.000017909051,0.000035488985,0.00003655043,0.00004661382],"domain_scores_gemma":[0.9959269,0.0005257997,0.0027760318,0.00016344937,0.0003090722,0.00029875536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074624305,0.00016253807,0.00021131318,0.0012945937,0.00017512315,0.0018695038,0.00021147705,0.00035258615,0.0033390515],"category_scores_gemma":[0.0031382246,0.00006545184,0.0002726226,0.0022725642,0.00045973193,0.001350081,0.0006932073,0.000590727,0.0003410929],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007766894,0.00005806947,0.9669303,0.000056825975,0.00018553101,0.00032155568,0.00016652637,0.0024543486,0.0005651934,0.008584388,0.0011857317,0.01941371],"study_design_scores_gemma":[0.00000481916,0.00009195353,0.98769903,0.000104944746,0.00009989909,0.00029073277,0.0005484733,0.0020343906,0.0004443278,0.0036033997,0.005060415,0.000017545304],"about_ca_topic_score_codex":0.0027747168,"about_ca_topic_score_gemma":0.0031429254,"teacher_disagreement_score":0.0033390515,"about_ca_system_score_codex":0.00027865433,"about_ca_system_score_gemma":0.00018206482,"threshold_uncertainty_score":0.011170268},"labels":[],"label_agreement":null},{"id":"W2809105753","doi":"10.5539/ass.v14n7p63","title":"Finding Size Factor and Value Factor in Indonesia Stock Exchange","year":2018,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Equity (law); Econometrics; Economics; Market capitalization; Stock market; Financial economics; Finance","score_opus":0.04431018104501034,"score_gpt":0.2613208670654574,"score_spread":0.21701068602044704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809105753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886269,0.00040272716,0.0032300593,0.0003822733,0.00004236641,0.000044516084,0.0009740419,0.000060842507,0.006236356],"genre_scores_gemma":[0.9966677,0.0001229507,0.000655763,0.000021349111,0.000022961312,0.000014853977,0.0011852736,0.000010889437,0.0012984313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992003,0.00011970076,0.00007398648,0.00019489329,0.00032134983,0.00008978802],"domain_scores_gemma":[0.99730575,0.0012602261,0.0005605619,0.0002275046,0.00041114166,0.00023483364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013632884,0.0005656112,0.00041184906,0.0019757855,0.00044332325,0.0016588697,0.00035588807,0.0004903453,0.0048918314],"category_scores_gemma":[0.0067377808,0.00024874564,0.0010029462,0.001368935,0.00034544268,0.0013782108,0.0004210755,0.00062188605,0.000708181],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009624136,0.00008121922,0.97830737,0.000023806531,0.00011182734,0.0002559165,0.0002058639,0.0030299695,0.00032112777,0.0012035227,0.001417464,0.014945698],"study_design_scores_gemma":[0.000020625428,0.00010075234,0.96436733,0.000038284732,0.00008186991,0.0001841778,0.0005822874,0.029119285,0.00045292938,0.0027829572,0.0022420273,0.000027575117],"about_ca_topic_score_codex":0.019648723,"about_ca_topic_score_gemma":0.011123345,"teacher_disagreement_score":0.019648723,"about_ca_system_score_codex":0.00096195407,"about_ca_system_score_gemma":0.0007760485,"threshold_uncertainty_score":0.0390687},"labels":[],"label_agreement":null},{"id":"W2811313921","doi":"10.5539/ijef.v10n8p18","title":"The Effect of Trading Activity and Holdings Market Capitalization on Portfolio Performance","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Business; Capitalization; Mutual fund; Transaction cost; Closed-end fund; Market capitalization; Focus (optics); Stock (firearms); Trading strategy; Finance; Financial economics; Monetary economics; Economics; Stock market; Market liquidity","score_opus":0.012026857060179056,"score_gpt":0.209004457648398,"score_spread":0.19697760058821895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811313921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837637,0.00018094867,0.0002333248,0.000059339072,0.0000041386547,0.0000033474037,0.00006619272,0.000006606259,0.0010696206],"genre_scores_gemma":[0.99954754,0.000037723148,0.0000628879,0.00000789968,0.000010368911,0.0000015494408,0.000052482006,0.0000016119042,0.00027796283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929214,0.00021885509,0.000063605905,0.00012831579,0.00012511166,0.00017193047],"domain_scores_gemma":[0.97686857,0.012917385,0.0067569483,0.00096867676,0.0004957641,0.0019926224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013508552,0.00025877357,0.00028038363,0.00047559332,0.0002396809,0.0013291023,0.0003688661,0.00050332193,0.0045925835],"category_scores_gemma":[0.012188621,0.00008997254,0.0003624254,0.00052846555,0.00041846186,0.0007858419,0.000669907,0.00048487404,0.0005037868],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007557218,0.00043137005,0.97904074,0.000021235643,0.00018625654,0.00018214466,0.00013573641,0.0011166251,0.0031859616,0.000315389,0.0001324782,0.014496409],"study_design_scores_gemma":[0.0000072197768,0.0003670079,0.9975668,0.0000040091395,0.000052649546,0.00006215636,0.000073417395,0.0010263828,0.0004688561,0.00022243579,0.00014443244,0.0000046451964],"about_ca_topic_score_codex":0.0015179934,"about_ca_topic_score_gemma":0.0018661205,"teacher_disagreement_score":0.0045925835,"about_ca_system_score_codex":0.00040248255,"about_ca_system_score_gemma":0.00034847285,"threshold_uncertainty_score":0.015363753},"labels":[],"label_agreement":null},{"id":"W28641090","doi":"10.1016/j.aap.2017.06.007","title":"Varning för Wolf Investment Solutions","year":2011,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Economics; Business; Political science","score_opus":0.10072929684337435,"score_gpt":0.20785142232082388,"score_spread":0.10712212547744952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W28641090","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018089454,0.0036300875,0.00464834,0.014388403,0.0056255134,0.00020062948,0.002321733,0.002395988,0.96498036],"genre_scores_gemma":[0.008443278,0.0019431746,0.0028889007,0.0015323008,0.00036187572,0.00012963983,0.0010634531,0.00066748203,0.98297],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988423,0.00018463872,0.00008822892,0.00030620207,0.00042295552,0.00015568733],"domain_scores_gemma":[0.9979532,0.00038233673,0.00013822633,0.00039710614,0.00049858127,0.000630499],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010098577,0.0008927614,0.0006615061,0.0013276797,0.0016818831,0.005247123,0.0013439596,0.0023506437,0.79916453],"category_scores_gemma":[0.0058530844,0.0003713874,0.00058948295,0.0011658447,0.00083825213,0.0027693494,0.004128242,0.0020808934,0.5065833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008208373,0.00008234467,0.00063970574,0.000329808,0.000011596252,0.00038343214,0.00027573842,0.00017985464,0.00040616145,0.03098746,0.53493,0.4316919],"study_design_scores_gemma":[0.0000060850766,0.000012460323,0.00025339608,0.0001074588,0.0000025138097,0.00011729589,0.000105841755,0.0000991203,0.00008659347,0.0035230524,0.99568164,0.0000044303238],"about_ca_topic_score_codex":0.0020698486,"about_ca_topic_score_gemma":0.0039492818,"teacher_disagreement_score":0.79916453,"about_ca_system_score_codex":0.001037736,"about_ca_system_score_gemma":0.002738205,"threshold_uncertainty_score":0.28646737},"labels":[],"label_agreement":null},{"id":"W2876489172","doi":"10.2139/ssrn.3194932","title":"The Impact of Tick Sizes on Trader Behavior: Evidence from Cryptocurrency Exchanges","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Cryptocurrency; Business; Econometrics; Financial economics; Computer science; Economics; Computer security","score_opus":0.04432802569863761,"score_gpt":0.2790432589754957,"score_spread":0.2347152332768581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2876489172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814725,0.000108871005,0.000044825552,0.00016105275,0.000004283961,0.0000027746962,0.000171085,0.0000036003353,0.0013562759],"genre_scores_gemma":[0.998895,0.000120140554,0.0000257857,0.000041602936,0.000015055649,0.0000022252918,0.00036104143,0.0000056285467,0.0005336151],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895906,0.00049742544,0.0000782535,0.00012478189,0.00017817761,0.00016235576],"domain_scores_gemma":[0.9540098,0.026983408,0.013707011,0.001866763,0.0012300537,0.0022029309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00232744,0.00024397727,0.0003567279,0.0009016435,0.0005205371,0.0021306216,0.00055231625,0.0012249915,0.007360695],"category_scores_gemma":[0.024489129,0.00023558554,0.0003573016,0.0015528448,0.00091167464,0.0014496028,0.0007748872,0.0013489428,0.0013192495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039963117,0.0013737407,0.9706442,0.000081102575,0.00035220923,0.00045152032,0.001035596,0.0020273868,0.0014452529,0.0015038626,0.0016253359,0.0154634435],"study_design_scores_gemma":[0.00013288177,0.0004698536,0.9931973,0.000015771999,0.00015636497,0.00013654,0.001309319,0.0019059313,0.0004894388,0.0010003843,0.0011630164,0.000023157749],"about_ca_topic_score_codex":0.0065298053,"about_ca_topic_score_gemma":0.0077592656,"teacher_disagreement_score":0.007360695,"about_ca_system_score_codex":0.0004340316,"about_ca_system_score_gemma":0.000285805,"threshold_uncertainty_score":0.02462399},"labels":[],"label_agreement":null},{"id":"W2876989552","doi":"10.5465/ambpp.2018.14506abstract","title":"Beyond numbers: How investment managers accommodate societal issues in financial decisions","year":2018,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Financialization; Business; Equity (law); Finance; Cognitive dissonance; Investment management; Corporate governance; Investment (military); Asset (computer security); Investment decisions; Marketing; Behavioral economics; Market liquidity; Politics","score_opus":0.03953597908017234,"score_gpt":0.2618358692534746,"score_spread":0.22229989017330223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2876989552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68786037,0.001428865,0.07093728,0.040275097,0.00036204746,0.00016707204,0.000062234445,0.00024601832,0.198661],"genre_scores_gemma":[0.98505765,0.00020291735,0.009542525,0.00083153875,0.00005008614,0.000045621346,0.000022444232,0.00003415656,0.0042129885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9885455,0.007702603,0.00031179926,0.0009998007,0.0011382943,0.0013021133],"domain_scores_gemma":[0.9885494,0.0049375566,0.0021663439,0.00094837346,0.0015175269,0.001880846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01672933,0.000694738,0.00039632973,0.0020002564,0.003447306,0.01604403,0.0015986718,0.0025396636,0.0047297115],"category_scores_gemma":[0.036939334,0.00045458318,0.0004765693,0.0011494637,0.010567452,0.0145264985,0.005493608,0.002663579,0.000674688],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015203602,0.00029404747,0.06781062,0.00021180484,0.0001075606,0.0015708688,0.27850103,0.006420741,0.0041889637,0.43490013,0.012042606,0.19379951],"study_design_scores_gemma":[0.00007871401,0.00035506522,0.031595696,0.00054658053,0.00008539282,0.0005997348,0.2102879,0.019376183,0.0018756062,0.5660121,0.16898578,0.00020128487],"about_ca_topic_score_codex":0.0036311308,"about_ca_topic_score_gemma":0.0035315007,"teacher_disagreement_score":0.01672933,"about_ca_system_score_codex":0.0038357016,"about_ca_system_score_gemma":0.0039160866,"threshold_uncertainty_score":0.088474214},"labels":[],"label_agreement":null},{"id":"W2883017929","doi":"10.2139/ssrn.3100285","title":"Asymmetric Information and Security Design Under Knightian Uncertainty","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Knightian uncertainty; Information asymmetry; Information security; Computer security; Computer science; Economics; Ambiguity; Microeconomics","score_opus":0.015354790233917268,"score_gpt":0.20609835712405644,"score_spread":0.19074356689013916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883017929","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4579627,0.001651717,0.50366414,0.0065488233,0.00016024525,0.0001211452,0.00025959124,0.00017656943,0.029454976],"genre_scores_gemma":[0.9885492,0.0004348869,0.0069378945,0.00014285806,0.000098802484,0.00003547401,0.000035253146,0.000023975692,0.0037416392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975326,0.0010930824,0.00015421437,0.00038687736,0.00045398975,0.00037920076],"domain_scores_gemma":[0.9644216,0.025703805,0.0053950753,0.0017921615,0.0017509059,0.00093641237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059340815,0.00070686755,0.0015979161,0.0013363768,0.00075857464,0.0050256425,0.0010483903,0.0035682928,0.005145842],"category_scores_gemma":[0.032577638,0.0010289331,0.00073331705,0.0010557169,0.0033037583,0.0076928944,0.0016650409,0.002165188,0.0004369329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028199662,0.000049828886,0.0013065614,0.0001061193,0.0000656314,0.00019933381,0.00018068725,0.10156036,0.0014986987,0.8827268,0.001388628,0.010635359],"study_design_scores_gemma":[0.00004534679,0.000044125536,0.00041395592,0.000012950595,0.00001746778,0.000073149764,0.000045854686,0.15126054,0.00035716352,0.84727466,0.00042850507,0.000026249843],"about_ca_topic_score_codex":0.00067216734,"about_ca_topic_score_gemma":0.00036801258,"teacher_disagreement_score":0.0059340815,"about_ca_system_score_codex":0.002142199,"about_ca_system_score_gemma":0.0009742624,"threshold_uncertainty_score":0.03138274},"labels":[],"label_agreement":null},{"id":"W2883903268","doi":"10.1080/1540496x.2005.11052619","title":"Floating the Nonfloatables in China's Stock Market: Theory and Design","year":2005,"lang":"en","type":"article","venue":"Emerging Markets Finance and Trade","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Shareholder; China; Stock market; Float (project management); Business; Corporate governance; Shares outstanding; Stock (firearms); Market share; Financial economics; Valuation (finance); Economics; Monetary economics; Finance","score_opus":0.017594331054480546,"score_gpt":0.2103428973332223,"score_spread":0.19274856627874176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883903268","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27368802,0.0014711999,0.71063095,0.0008755596,0.00008393056,0.0006517774,0.000450002,0.00021377222,0.011934776],"genre_scores_gemma":[0.93033105,0.0011384904,0.063294224,0.000106894324,0.00004928892,0.00070540333,0.00030153763,0.00001667799,0.004056564],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99902177,0.00041551236,0.000046451372,0.00021140031,0.00017533591,0.00012954291],"domain_scores_gemma":[0.99749005,0.0013883442,0.00040813503,0.00033185512,0.0002444565,0.0001371576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031674134,0.000626507,0.00081984495,0.0010546513,0.0005748733,0.0015257463,0.0014847458,0.0010837725,0.004869307],"category_scores_gemma":[0.005893644,0.00044155,0.0007354249,0.0009326218,0.0015950955,0.0016695632,0.0011064933,0.0006973911,0.00026700355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040764685,0.00028306732,0.022536468,0.00026962603,0.00010741093,0.00050631934,0.0004226424,0.19662389,0.0036276388,0.64741737,0.0020140577,0.12578395],"study_design_scores_gemma":[0.00015478057,0.00028389934,0.0032207046,0.00004539401,0.00008692105,0.00013758463,0.000118063006,0.856673,0.0010129923,0.1354783,0.002749353,0.000039077375],"about_ca_topic_score_codex":0.0048353653,"about_ca_topic_score_gemma":0.0034102758,"teacher_disagreement_score":0.004869307,"about_ca_system_score_codex":0.0018006586,"about_ca_system_score_gemma":0.002163033,"threshold_uncertainty_score":0.01675111},"labels":[],"label_agreement":null},{"id":"W2884066052","doi":"10.2139/ssrn.3179548","title":"Smart Equity Investing: Implementing Risk Optimization Techniques on Strategic Beta Portfolios","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Business; Equity (law); BETA (programming language); Finance; Actuarial science; Computer science","score_opus":0.04139038689264214,"score_gpt":0.266756135161372,"score_spread":0.22536574826872985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884066052","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044263672,0.00011534571,0.9527261,0.00014136214,0.000027729608,0.000030471982,0.000019162437,0.00036113893,0.0023149387],"genre_scores_gemma":[0.70162857,0.00016546955,0.29567072,0.000101427795,0.00004937844,0.000061734645,0.000059991486,0.00010492448,0.0021578025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970526,0.00011488015,0.000017762713,0.000039967097,0.00008063942,0.000041376265],"domain_scores_gemma":[0.9987846,0.0006868431,0.00013546998,0.00015041308,0.00016220578,0.00008054456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015510892,0.00060248707,0.00071581855,0.0005242764,0.0002487314,0.0008588446,0.00077359314,0.0006996608,0.0023669794],"category_scores_gemma":[0.0047205444,0.0004674136,0.0004677026,0.0004660515,0.00040487514,0.001444932,0.0012085087,0.0010512072,0.0002792104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016687195,0.000110642846,0.0015174313,0.00003893468,0.00005868945,0.000060941933,0.00008596198,0.816558,0.0034023437,0.027293874,0.0011890159,0.14951733],"study_design_scores_gemma":[0.000008369034,0.00001955025,0.00006980819,0.0000025133909,0.0000055823416,0.0000069761973,0.000004127792,0.99268484,0.0004184535,0.006645976,0.00013198126,0.0000019153958],"about_ca_topic_score_codex":0.0011409203,"about_ca_topic_score_gemma":0.0015737833,"teacher_disagreement_score":0.0023669794,"about_ca_system_score_codex":0.00036583512,"about_ca_system_score_gemma":0.0006509167,"threshold_uncertainty_score":0.00820303},"labels":[],"label_agreement":null},{"id":"W2884786062","doi":"10.1515/snde-2017-0064","title":"A nonlinear model of asset returns with multiple shocks","year":2018,"lang":"en","type":"article","venue":"Studies in Nonlinear Dynamics and Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Allison University","funders":"","keywords":"Econometrics; Nonlinear system; Economics; Asset (computer security); Sign (mathematics); Contrast (vision); Class (philosophy); Financial economics; Mathematics; Computer science","score_opus":0.06495979009861712,"score_gpt":0.26108003364804067,"score_spread":0.19612024354942353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884786062","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3316292,0.0004710293,0.6358236,0.002806826,0.00012600656,0.00015141972,0.0010809045,0.00049489044,0.027416073],"genre_scores_gemma":[0.96721566,0.0003773906,0.0071256235,0.00013579,0.00005689286,0.000107593754,0.00021061534,0.00007175024,0.024698766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913967,0.00029449217,0.000034986904,0.00015362061,0.0001874321,0.00018969686],"domain_scores_gemma":[0.99779946,0.0012652441,0.0004043223,0.00012625784,0.0002487323,0.0001559552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019690532,0.00093489804,0.001135993,0.0009765881,0.00039325963,0.0023778623,0.0016927199,0.0020192512,0.005317547],"category_scores_gemma":[0.0059728515,0.0007471563,0.0012462604,0.0010398062,0.0014690169,0.0026381465,0.0013220343,0.0021502522,0.000798408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064299704,0.00005006424,0.0023597456,0.000029593197,0.000048091242,0.00037188324,0.00011263165,0.8935632,0.00089325296,0.09840309,0.0007516175,0.0033526006],"study_design_scores_gemma":[0.000010443161,0.000016127842,0.00044049,0.000004231552,0.0000072157695,0.000041982636,0.00001386565,0.9843775,0.00006641981,0.01474949,0.0002610815,0.000011130986],"about_ca_topic_score_codex":0.014130942,"about_ca_topic_score_gemma":0.0064688073,"teacher_disagreement_score":0.014130942,"about_ca_system_score_codex":0.0016156989,"about_ca_system_score_gemma":0.0010544338,"threshold_uncertainty_score":0.028097391},"labels":[],"label_agreement":null},{"id":"W2884883750","doi":"10.5539/ijef.v10n8p158","title":"Twitter, Investor Sentiment and Capital Markets: What Do We Know?","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Social media; Context (archaeology); Construct (python library); Empirical research; Mood; Empirical evidence; Sentiment analysis; Business; Psychology; Political science; Social psychology; Computer science","score_opus":0.021005872957452966,"score_gpt":0.22369349116071033,"score_spread":0.20268761820325737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884883750","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12530492,0.6056536,0.0022757798,0.21722837,0.0030177203,0.00006342777,0.0018696557,0.000053437518,0.044533044],"genre_scores_gemma":[0.49861163,0.47390634,0.0015722866,0.010775634,0.01041278,0.00006403813,0.00061907887,0.000027287442,0.0040109213],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999551,0.00018860346,0.000033720156,0.00007601484,0.000086683445,0.00006396814],"domain_scores_gemma":[0.99347275,0.0044269506,0.00095869123,0.0001150272,0.000701543,0.00032498903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001135417,0.0004229058,0.00056466664,0.0017509867,0.00073425827,0.004530018,0.0004891057,0.0018406975,0.006285034],"category_scores_gemma":[0.0060212123,0.0002423481,0.00037569995,0.0029609504,0.0012300343,0.009553206,0.0008644278,0.0014281872,0.0011481609],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005055783,0.0003516632,0.14595445,0.009926101,0.00038427504,0.000611056,0.009137401,0.00064155174,0.0011421151,0.061123494,0.07290622,0.69731605],"study_design_scores_gemma":[0.000064068496,0.00039171704,0.31284422,0.028007887,0.00091407856,0.0013845706,0.03748315,0.005825998,0.0015415922,0.09727112,0.5140269,0.00024481706],"about_ca_topic_score_codex":0.005750827,"about_ca_topic_score_gemma":0.0063460437,"teacher_disagreement_score":0.006285034,"about_ca_system_score_codex":0.0006636436,"about_ca_system_score_gemma":0.0010353018,"threshold_uncertainty_score":0.021025538},"labels":[],"label_agreement":null},{"id":"W2885886780","doi":"10.1111/1911-3846.12419","title":"Insider Trading Restrictions and Insiders’ Supply of Information: Evidence from Earnings Smoothing","year":2018,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Minnesota","keywords":"Insider trading; Enforcement; Earnings; Business; Alternative trading system; Insider; Corporate governance; Electronic trading; Monetary economics; Algorithmic trading; Accounting; Economics; Finance; Law; Political science","score_opus":0.13046849097398333,"score_gpt":0.3033385832550113,"score_spread":0.17287009228102795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885886780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99699056,0.0002942766,0.00045471886,0.00020060055,0.0000037008467,0.000006742086,0.00037842584,0.000009595138,0.0016614653],"genre_scores_gemma":[0.99930036,0.00013013594,0.00008018705,0.000013489279,0.000012070212,0.0000023065818,0.0002791656,0.0000019472661,0.00018035775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979657,0.00063265837,0.00030319317,0.0003411247,0.0004908791,0.00026644793],"domain_scores_gemma":[0.7877179,0.07177485,0.12243129,0.012056128,0.0031759606,0.002843841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034610925,0.00019867992,0.0006158879,0.0016916164,0.00052083516,0.0021047336,0.00067497423,0.00087857555,0.0031938902],"category_scores_gemma":[0.03884618,0.00033015243,0.00052446884,0.0029599231,0.0015440292,0.0015858896,0.0013659318,0.0010289081,0.00036365993],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021183155,0.00014971638,0.9891706,0.000038751325,0.0001614386,0.00016540133,0.0004856407,0.0013965958,0.00023360591,0.0012953816,0.00033866812,0.0063523655],"study_design_scores_gemma":[0.000018811925,0.00010512541,0.993555,0.00003397403,0.0000840333,0.00010829831,0.00070142146,0.002499536,0.0004323319,0.0015122497,0.0009260614,0.000023027673],"about_ca_topic_score_codex":0.00917416,"about_ca_topic_score_gemma":0.006298067,"teacher_disagreement_score":0.00917416,"about_ca_system_score_codex":0.0004579203,"about_ca_system_score_gemma":0.00041341424,"threshold_uncertainty_score":0.018304229},"labels":[],"label_agreement":null},{"id":"W2886582798","doi":"10.2139/ssrn.3137465","title":"Passive-Aggressive Trading: The Supply and Demand of Liquidity by Mutual Funds","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Market liquidity; Business; Monetary economics; Financial system; Finance; Economics","score_opus":0.013089351671197283,"score_gpt":0.20726978024862386,"score_spread":0.19418042857742657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886582798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995581,0.00020145587,0.0011184616,0.00054591004,0.000006367012,0.000003985172,0.00013661313,0.000017175218,0.002389027],"genre_scores_gemma":[0.99938893,0.00004420463,0.000075029,0.000022535525,0.000019470592,0.0000022150255,0.00006032367,0.0000042578513,0.00038306467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974257,0.0000859722,0.000025146597,0.000048104037,0.000053595293,0.000044626384],"domain_scores_gemma":[0.9882693,0.008779057,0.0015883484,0.00036512103,0.00039353652,0.0006046843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007453393,0.00021119113,0.00039156017,0.00037644096,0.00031437952,0.0023551972,0.0006860403,0.0012213797,0.0037252852],"category_scores_gemma":[0.011289799,0.00034806595,0.00025747684,0.00037009807,0.0006207796,0.0028348581,0.0007197247,0.00093770673,0.00045886176],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016317217,0.0014117028,0.504897,0.0008767273,0.00045061824,0.0047165356,0.0071365885,0.05468862,0.10811209,0.19334286,0.008179689,0.09987042],"study_design_scores_gemma":[0.0006117585,0.0010378049,0.5015471,0.00010320276,0.00023903829,0.0024341573,0.0043378235,0.22699139,0.011100452,0.24579932,0.005613403,0.0001846095],"about_ca_topic_score_codex":0.00084125926,"about_ca_topic_score_gemma":0.0012404799,"teacher_disagreement_score":0.0037252852,"about_ca_system_score_codex":0.0004827501,"about_ca_system_score_gemma":0.00027303878,"threshold_uncertainty_score":0.012462318},"labels":[],"label_agreement":null},{"id":"W2887898959","doi":"10.5539/ijef.v10n9p38","title":"Do Hedge Funds Arbitrage on Asset Growth, Earnings Momentum and Equity Financing Anomalies?","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hedge fund; Arbitrage; Earnings; Economics; Financial economics; Equity (law); Momentum (technical analysis); Limits to arbitrage; Econometrics; Finance","score_opus":0.03272809977760327,"score_gpt":0.2511296078549353,"score_spread":0.21840150807733205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887898959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962065,0.0004507955,0.002073526,0.00020923851,0.000011334272,0.000005837489,0.00004163219,0.000024729708,0.0009764573],"genre_scores_gemma":[0.99943715,0.00009583054,0.00023191179,0.000015353431,0.000019608666,0.0000013413119,0.00003123735,0.0000027108426,0.0001647683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992786,0.00018000962,0.000077653065,0.00011871433,0.00021632593,0.0001286564],"domain_scores_gemma":[0.9872799,0.006328299,0.0044576894,0.00086532696,0.0005886387,0.00048018692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034896187,0.00042883056,0.0009187015,0.000979976,0.00018483568,0.0014754997,0.00047187848,0.0013171127,0.0010240884],"category_scores_gemma":[0.024734804,0.00017553825,0.00043182535,0.0005567887,0.00067700905,0.0039468384,0.00079460273,0.0006063929,0.00025497505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015078947,0.00019278571,0.82307667,0.000103957245,0.00073444325,0.0011150779,0.00063729106,0.02700583,0.008294197,0.0150846755,0.000804359,0.121442795],"study_design_scores_gemma":[0.00012853525,0.0012190015,0.6783825,0.000059481128,0.0005112865,0.0020052267,0.00094538496,0.24631222,0.012760939,0.055002283,0.0025530967,0.000120088065],"about_ca_topic_score_codex":0.0011335614,"about_ca_topic_score_gemma":0.0006914002,"teacher_disagreement_score":0.0034896187,"about_ca_system_score_codex":0.000280688,"about_ca_system_score_gemma":0.000266653,"threshold_uncertainty_score":0.018455088},"labels":[],"label_agreement":null},{"id":"W2887935625","doi":"10.1111/1911-3846.12405","title":"Business Ties and Information Advantage: Evidence from Mutual Fund Trading","year":2018,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mutual fund; Business; Portfolio; Pension; Earnings; Closed-end fund; Fund of funds; Predictability; Stock (firearms); Finance; Open-end fund; Predictive power; Institutional investor; Monetary economics; Economics; Corporate governance","score_opus":0.16302229969915014,"score_gpt":0.32207208190238606,"score_spread":0.15904978220323593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887935625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889952,0.0010206655,0.00029298064,0.0005969007,0.000009652214,0.000009561532,0.00018135994,0.000007503816,0.00888613],"genre_scores_gemma":[0.9992071,0.00030003706,0.00005156875,0.00003149023,0.000025107543,0.0000024570231,0.00008280699,0.0000020751725,0.0002974212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989349,0.00044303518,0.000080934704,0.00011837532,0.00026636862,0.00015624231],"domain_scores_gemma":[0.943953,0.030491607,0.020814778,0.0018147208,0.0010600042,0.0018659934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019806442,0.00017244984,0.0003336097,0.0014663152,0.0007056177,0.0025443824,0.00039023315,0.00087558787,0.009478297],"category_scores_gemma":[0.032769136,0.00017738061,0.0002230422,0.0016413539,0.0010291081,0.0022774942,0.0016128839,0.00081717747,0.0006602058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012464895,0.00050329714,0.94535154,0.00016792788,0.00034814747,0.0008176498,0.0024131301,0.0007187113,0.0006639498,0.0094526475,0.001263655,0.037052866],"study_design_scores_gemma":[0.00011561254,0.00028131288,0.9754048,0.000116810355,0.00032421804,0.00075660273,0.0035065056,0.0023568757,0.00065834756,0.011427325,0.0050106784,0.000041023024],"about_ca_topic_score_codex":0.002512907,"about_ca_topic_score_gemma":0.0020859505,"teacher_disagreement_score":0.009478297,"about_ca_system_score_codex":0.0004174039,"about_ca_system_score_gemma":0.00028548526,"threshold_uncertainty_score":0.03170806},"labels":[],"label_agreement":null},{"id":"W2888421779","doi":"10.5267/j.ac.2018.7.001","title":"Impact of herding behavior and overconfidence bias on investors’ decision-making in Pakistan","year":2018,"lang":"en","type":"article","venue":"Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Overconfidence effect; Herding; Herd behavior; Behavioral economics; Financial economics; Economics; Psychology; Business; Econometrics; Monetary economics; Actuarial science; Social psychology; Finance; Geography","score_opus":0.049313788390973196,"score_gpt":0.3206754696261679,"score_spread":0.27136168123519466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888421779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99952555,0.00004699143,0.00003805587,0.000044204182,9.957719e-7,0.000001925335,0.00001079473,4.084438e-7,0.00033116198],"genre_scores_gemma":[0.9998735,0.000038680533,0.000026981586,0.0000073752576,0.0000015548183,5.189832e-7,0.000008630703,1.1145465e-7,0.00004260872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942327,0.00021011323,0.00006543896,0.00006201796,0.00012270473,0.00011651814],"domain_scores_gemma":[0.99297416,0.0031067466,0.002821417,0.00026172108,0.0004522836,0.00038367498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014611483,0.00010911186,0.00015719146,0.00037591328,0.00030358176,0.0006451126,0.00013199086,0.00025001864,0.00098706],"category_scores_gemma":[0.005604554,0.00009780173,0.00016302451,0.00033812798,0.00031325786,0.00035389056,0.00025922965,0.00031507562,0.000073133044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000765529,0.00005798787,0.99201643,0.000008989146,0.00003278612,0.000111074376,0.00076107867,0.00023597498,0.00017381345,0.00008688497,0.00005642595,0.006382076],"study_design_scores_gemma":[0.0000038953585,0.00010127664,0.9969415,0.0000098589,0.000017539558,0.00007812078,0.0013579397,0.00096421817,0.00015073777,0.00019620878,0.00017176912,0.0000069443204],"about_ca_topic_score_codex":0.0102252755,"about_ca_topic_score_gemma":0.012796342,"teacher_disagreement_score":0.0102252755,"about_ca_system_score_codex":0.00057080074,"about_ca_system_score_gemma":0.0005498367,"threshold_uncertainty_score":0.020331502},"labels":[],"label_agreement":null},{"id":"W2888639476","doi":"10.1111/irfi.12227","title":"Financial Statement Comparability and Idiosyncratic Return Volatility","year":2018,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bentley (Canada)","funders":"","keywords":"Comparability; Financial statement; Accounting; Volatility (finance); Cash flow; Business; Financial statement analysis; Cash flow statement; Statement of changes in financial position; Economics; Actuarial science; Finance; Financial ratio; Accounting management; Accounting information system; Audit; Mathematics","score_opus":0.03379933380819669,"score_gpt":0.2768165934860364,"score_spread":0.2430172596778397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888639476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99691355,0.00031848848,0.00041475237,0.00021487847,0.0000135475575,0.000007774923,0.0003668468,0.000009070504,0.0017410147],"genre_scores_gemma":[0.9994104,0.00004908975,0.00007931246,0.000020321973,0.000030238245,0.0000024714016,0.0002532015,0.0000019401307,0.00015299603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792707,0.00063962495,0.00036097338,0.0002661331,0.00058702845,0.0002191635],"domain_scores_gemma":[0.91495514,0.018244384,0.0591137,0.002612894,0.0030121412,0.0020617214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028181244,0.00021778849,0.0003075976,0.0015521507,0.0002448549,0.0018614748,0.0002331961,0.00043843366,0.0035129956],"category_scores_gemma":[0.026552664,0.000081312966,0.00025776643,0.0020019943,0.00046954709,0.0010830672,0.00081743184,0.0006137409,0.00039188616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015098955,0.00007994101,0.99090904,0.000024196044,0.00009649056,0.000089102185,0.00014980238,0.00037468583,0.00023732659,0.0005696164,0.00035690176,0.006962031],"study_design_scores_gemma":[0.000005543151,0.00008964529,0.99708205,0.000017855156,0.000028299997,0.00013223772,0.00025407938,0.000719685,0.0002438704,0.00090666325,0.00051153736,0.000008516014],"about_ca_topic_score_codex":0.0010271887,"about_ca_topic_score_gemma":0.0008594372,"teacher_disagreement_score":0.0035129956,"about_ca_system_score_codex":0.00032439997,"about_ca_system_score_gemma":0.00022399481,"threshold_uncertainty_score":0.014903843},"labels":[],"label_agreement":null},{"id":"W2889729211","doi":"10.3386/w16302","title":"Are Options on Index Futures Profitable for Risk Averse Investors? Empirical Evidence","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Futures contract; Sharpe ratio; Stochastic dominance; Economics; Financial economics; Index (typography); Transaction cost; Portfolio; Empirical evidence; Business; Econometrics; Microeconomics","score_opus":0.6255867338369141,"score_gpt":0.5088395535131319,"score_spread":0.11674718032378217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889729211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99002403,0.0020511618,0.00032601086,0.001716833,0.000012553056,0.000005610589,0.00019337196,0.0000059489184,0.0056645414],"genre_scores_gemma":[0.9979128,0.0011890956,0.00009801505,0.0001014373,0.00005875742,0.0000024575315,0.00023982004,0.0000021048024,0.00039545915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894136,0.0002505484,0.00009955288,0.00014218371,0.00043097645,0.00013539888],"domain_scores_gemma":[0.93801653,0.035064485,0.021002647,0.002041679,0.0017891126,0.002085521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002926306,0.000296492,0.00044630156,0.0007757561,0.0004919825,0.0018188623,0.00067139714,0.0012602672,0.005566252],"category_scores_gemma":[0.035172574,0.0002493604,0.00037281698,0.0011742349,0.0015213094,0.0032325627,0.0008597837,0.001677364,0.0006483671],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002006645,0.00061907806,0.88606954,0.00020528125,0.00033414437,0.0011760895,0.00094290526,0.00199927,0.0018108253,0.014694516,0.0042450386,0.08589664],"study_design_scores_gemma":[0.0002608212,0.00043672498,0.9467929,0.0001171403,0.00023934478,0.0014505073,0.0019722094,0.005305579,0.0016384961,0.03635484,0.005376686,0.000054662647],"about_ca_topic_score_codex":0.0017474614,"about_ca_topic_score_gemma":0.0023847306,"teacher_disagreement_score":0.005566252,"about_ca_system_score_codex":0.0004219034,"about_ca_system_score_gemma":0.00032106444,"threshold_uncertainty_score":0.018620908},"labels":[],"label_agreement":null},{"id":"W2889985660","doi":"10.3386/w22959","title":"Box Office Buzz: Does Social Media Data Steal the Show from Model Uncertainty When Forecasting for Hollywood?","year":2016,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Marketing buzz; Hollywood; Box office; Social media; Advertising; Computer science; Business; History; World Wide Web; Art history","score_opus":0.5483325097385878,"score_gpt":0.4323508041680307,"score_spread":0.11598170557055715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889985660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92850703,0.001274889,0.05940478,0.005039647,0.00017097166,0.00006951695,0.0012675979,0.0003975621,0.0038679892],"genre_scores_gemma":[0.9893087,0.00030150273,0.0077133705,0.00020742166,0.00016171725,0.000017487378,0.0015336241,0.000046421228,0.0007097776],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992976,0.0003699219,0.000033175886,0.00013286046,0.00010290558,0.00006352708],"domain_scores_gemma":[0.97299415,0.023241263,0.0017660608,0.0009353297,0.0007353147,0.00032785226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046949107,0.0008249506,0.00060460623,0.00093959115,0.0004317093,0.0021927957,0.0006374743,0.0011272223,0.0014071601],"category_scores_gemma":[0.028496496,0.00030081245,0.0007170284,0.0008745448,0.0005176436,0.0029659097,0.000669198,0.0018712431,0.00040184899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018396317,0.00043616683,0.42827174,0.00024029007,0.00079642906,0.0004243004,0.00057574635,0.3748334,0.0019811345,0.009297978,0.012169557,0.16913354],"study_design_scores_gemma":[0.000028820637,0.00008131455,0.055994112,0.000050173807,0.00007442101,0.00005126831,0.00021276688,0.931798,0.0012188923,0.008933345,0.001523443,0.00003345137],"about_ca_topic_score_codex":0.018670803,"about_ca_topic_score_gemma":0.02192226,"teacher_disagreement_score":0.018670803,"about_ca_system_score_codex":0.00072490383,"about_ca_system_score_gemma":0.00052878424,"threshold_uncertainty_score":0.037124217},"labels":[],"label_agreement":null},{"id":"W2890114753","doi":"10.2139/ssrn.841038","title":"Investor Overconfidence and the Forward Premium Puzzle","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stylized fact; Overconfidence effect; Forward rate; Economics; Spot contract; Inflation (cosmology); Monetary economics; Liquidity premium; Risk premium; Covered interest arbitrage; Exchange rate; Carry (investment); Financial economics; Econometrics; Interest rate; Interest rate parity; Market liquidity; Futures contract; Finance; Macroeconomics","score_opus":0.0087798701640553,"score_gpt":0.1922046690833752,"score_spread":0.1834247989193199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890114753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722865,0.0030254745,0.0022698103,0.012601407,0.00011822972,0.000004370999,0.00015893579,0.00003298914,0.0095021995],"genre_scores_gemma":[0.997558,0.0005331937,0.00014371464,0.0002610297,0.00023439626,0.000001291544,0.000050551116,0.000008087222,0.0012096015],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998099,0.000055125656,0.000020241976,0.00003626856,0.000043113752,0.000035274905],"domain_scores_gemma":[0.9811087,0.012086937,0.004658939,0.0010139359,0.0004963098,0.0006351033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027053002,0.00028288126,0.0006387286,0.0008328116,0.00033450112,0.0021714836,0.00062298233,0.0021049909,0.009817648],"category_scores_gemma":[0.026548682,0.00020440339,0.00024383518,0.00078346115,0.0008208863,0.0038443056,0.00082800543,0.0025754771,0.0006005913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004810674,0.0007104174,0.4223687,0.00038784847,0.0004720298,0.007945982,0.0029343327,0.013038015,0.0066584996,0.32446998,0.020909088,0.19529444],"study_design_scores_gemma":[0.00055208424,0.0002507181,0.3186972,0.00013468065,0.00030107555,0.003581249,0.0017461571,0.034083143,0.0015989399,0.6327086,0.0062428787,0.00010324817],"about_ca_topic_score_codex":0.0011645056,"about_ca_topic_score_gemma":0.0008266797,"teacher_disagreement_score":0.009817648,"about_ca_system_score_codex":0.00032306483,"about_ca_system_score_gemma":0.00020037766,"threshold_uncertainty_score":0.03284335},"labels":[],"label_agreement":null},{"id":"W2890190386","doi":"10.1111/j.1540-6261.2012.01740.x","title":"Decoding Inside Information","year":2012,"lang":"en","type":"preprint","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Insider; Insider trading; Portfolio; Predictive power; Set (abstract data type); Decoding methods; Universe; Variety (cybernetics); Business; Value (mathematics); Financial economics; Econometrics; Economics; Actuarial science; Computer science; Finance; Artificial intelligence; Algorithm; Machine learning; Political science; Law","score_opus":0.04491995489540083,"score_gpt":0.22730959362443842,"score_spread":0.1823896387290376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890190386","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12332944,0.0018512007,0.7888641,0.005449869,0.0010902479,0.00009906675,0.0024372768,0.0015749461,0.07530394],"genre_scores_gemma":[0.93971497,0.0013643495,0.037382543,0.00087920413,0.00083910406,0.00006281881,0.001667695,0.00035084333,0.017738568],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977907,0.0006181155,0.00010392274,0.0004957645,0.00065987045,0.00033150119],"domain_scores_gemma":[0.9879936,0.0065820673,0.001158319,0.002986068,0.0010124049,0.00026750108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014767008,0.00095902383,0.0010799484,0.0012965506,0.00087215815,0.0037710613,0.0008857015,0.0018449023,0.009737566],"category_scores_gemma":[0.019855972,0.00058204145,0.0005388552,0.001288534,0.0017715271,0.0049314643,0.0027352858,0.0020129392,0.003485022],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008111972,0.00012467512,0.006749699,0.00033439044,0.00013059887,0.0011128833,0.00076274184,0.07252853,0.019299401,0.61517,0.03263848,0.25033742],"study_design_scores_gemma":[0.000035519388,0.00008380082,0.0016747853,0.00010858012,0.00005139827,0.0006104264,0.00019934426,0.3266406,0.01601511,0.6369337,0.01757443,0.00007233127],"about_ca_topic_score_codex":0.0014810101,"about_ca_topic_score_gemma":0.0010467093,"teacher_disagreement_score":0.009737566,"about_ca_system_score_codex":0.0008391452,"about_ca_system_score_gemma":0.0010542249,"threshold_uncertainty_score":0.03257543},"labels":[],"label_agreement":null},{"id":"W2890207196","doi":"10.3386/w10770","title":"On the Industry Concentration of Actively Managed Equity Mutual Funds","year":2004,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":326,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Equity (law); Business; Finance; Financial system; Political science","score_opus":0.4423779806160353,"score_gpt":0.46014945395729806,"score_spread":0.017771473341262778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890207196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998963,0.00018695806,0.00007614196,0.00013342992,0.0000013061687,0.000002158651,0.000043548032,0.0000017133557,0.000591685],"genre_scores_gemma":[0.99955386,0.00009869433,0.000039631657,0.00001859925,0.000013777281,0.0000021707795,0.000092192764,6.9002846e-7,0.00018040574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927586,0.00021408685,0.000056077115,0.00010962845,0.00013952542,0.00020488127],"domain_scores_gemma":[0.9802287,0.005921564,0.010799567,0.000505088,0.0010780381,0.0014669826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014484656,0.00022997876,0.00032360211,0.0017326453,0.0004653603,0.0013668609,0.00048223065,0.000705655,0.0015736994],"category_scores_gemma":[0.011592378,0.000109058725,0.00019376572,0.0013208871,0.0008808106,0.0010544142,0.0014108112,0.00052445434,0.0003470691],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013000608,0.000075629876,0.9898657,0.000007848359,0.00006200005,0.000107658336,0.00032735497,0.0010670548,0.0003450719,0.0007069347,0.00023141217,0.0070733633],"study_design_scores_gemma":[0.000011543954,0.00019220392,0.99509865,0.000017072594,0.00004416367,0.0001286577,0.0005190283,0.0020142917,0.0006843273,0.0007423568,0.0005375333,0.000010256924],"about_ca_topic_score_codex":0.0060080816,"about_ca_topic_score_gemma":0.007815989,"teacher_disagreement_score":0.0060080816,"about_ca_system_score_codex":0.0009354745,"about_ca_system_score_gemma":0.00041687227,"threshold_uncertainty_score":0.011946261},"labels":[],"label_agreement":null},{"id":"W2890255367","doi":"10.1080/10293523.2003.11082450","title":"Rebalancing strategies and the performance of balanced portfolios: 1925–2001","year":2003,"lang":"en","type":"article","venue":"Investment Analysts Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Portfolio; Economics; Asset allocation; Quarter (Canadian coin); Financial economics; Econometrics; Bond; Standard deviation; Monetary economics; Finance; Geography; Mathematics; Statistics","score_opus":0.021018327442482866,"score_gpt":0.21331912178386853,"score_spread":0.19230079434138567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890255367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965695,0.000553077,0.00086314883,0.000054640936,0.0000038814696,0.000019505767,0.00010101259,0.000012153001,0.0018229694],"genre_scores_gemma":[0.99816376,0.00020206887,0.00070659636,0.0000074316954,0.0000031049542,0.0000071769828,0.00018059657,0.0000047508174,0.00072449615],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913895,0.00018945067,0.00009365814,0.0001132342,0.00029873152,0.00016605157],"domain_scores_gemma":[0.99474853,0.0014856776,0.002061888,0.0005164702,0.0009854458,0.00020196928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027287963,0.0003847921,0.0003225189,0.0014515428,0.00040333235,0.0013007604,0.00037763466,0.00046667055,0.0016480451],"category_scores_gemma":[0.019582517,0.00018362308,0.00019102416,0.0022668,0.00039113333,0.0013217957,0.0005509786,0.00027727018,0.00052891957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002455436,0.0004644366,0.3728897,0.00023550197,0.00036006226,0.0012575728,0.0039280267,0.0718206,0.012294937,0.0055906144,0.0015335422,0.5271696],"study_design_scores_gemma":[0.00021430217,0.0027159208,0.89971423,0.00012526389,0.0001918667,0.0015971008,0.002342276,0.04030627,0.022470115,0.0066367397,0.023598883,0.00008698085],"about_ca_topic_score_codex":0.006205119,"about_ca_topic_score_gemma":0.0047469498,"teacher_disagreement_score":0.006205119,"about_ca_system_score_codex":0.0014056774,"about_ca_system_score_gemma":0.0004965135,"threshold_uncertainty_score":0.014431417},"labels":[],"label_agreement":null},{"id":"W2890735991","doi":"10.3386/w8510","title":"An Empirical Investigation of Continuous-Time Equity Return Models","year":2001,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Stylized fact; Economics; Econometrics; Equity (law); Volatility (finance); Stochastic volatility; Financial economics; Index (typography); Computer science","score_opus":0.4156965294044329,"score_gpt":0.4687554905400605,"score_spread":0.05305896113562758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890735991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93036073,0.0027784049,0.054202583,0.002856235,0.000051113133,0.000046223042,0.00054698373,0.00020303663,0.0089546945],"genre_scores_gemma":[0.99503267,0.0004982076,0.0029130753,0.0000707044,0.00006475546,0.000013395008,0.00032840882,0.000015889864,0.0010628772],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899036,0.000512535,0.000051556777,0.00014782262,0.00020877211,0.000088893554],"domain_scores_gemma":[0.9706524,0.024539446,0.0018524826,0.0017767337,0.00076216616,0.00041674418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005015852,0.00037773873,0.0006248102,0.0012023723,0.00035274585,0.001782557,0.0015624379,0.0013983885,0.006733257],"category_scores_gemma":[0.04087487,0.00028335257,0.0005322655,0.0019302488,0.0008263415,0.0031956423,0.0008096421,0.0023943447,0.00051247695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006797544,0.0015022933,0.21903726,0.00048715025,0.0004670147,0.0014742573,0.0020927072,0.17710821,0.0023486018,0.471569,0.008360505,0.11487319],"study_design_scores_gemma":[0.000093156355,0.0002289845,0.043428995,0.000088035136,0.00007099206,0.000586998,0.00052868156,0.8112128,0.00048530372,0.13776833,0.0054627163,0.000045054046],"about_ca_topic_score_codex":0.0024338819,"about_ca_topic_score_gemma":0.0015774282,"teacher_disagreement_score":0.006733257,"about_ca_system_score_codex":0.0006878285,"about_ca_system_score_gemma":0.0004022593,"threshold_uncertainty_score":0.02652669},"labels":[],"label_agreement":null},{"id":"W2890738199","doi":"10.3386/w8630","title":"DotCom Mania: The Rise and Fall of Internet Stock Prices","year":2001,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Oxford; York University; Harvard Business School; Princeton University","keywords":"Mania; Stock (firearms); The Internet; Economics; Computer science; Psychology; History; World Wide Web; Mood; Clinical psychology; Bipolar disorder; Archaeology","score_opus":0.2878463482771205,"score_gpt":0.4172832295059773,"score_spread":0.12943688122885677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890738199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9184872,0.0014063341,0.0020377974,0.019243486,0.00027745613,0.000026732043,0.0010099754,0.00029702895,0.057213932],"genre_scores_gemma":[0.99441236,0.0003400972,0.00032989704,0.000635138,0.00013351336,0.0000071338336,0.00018529988,0.000017536237,0.0039391117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984074,0.000024660756,0.00000851236,0.000041900425,0.000052827363,0.000031421976],"domain_scores_gemma":[0.99868363,0.00028265078,0.0005149194,0.000104062965,0.00023295076,0.00018180553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004704875,0.00015472,0.00019887836,0.00078420434,0.0005710881,0.0026758984,0.00025895349,0.0010367606,0.0038840394],"category_scores_gemma":[0.0048793913,0.00013566404,0.00012425533,0.000803678,0.00046451206,0.0012024317,0.0005432783,0.0010610967,0.0005910041],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015192669,0.000252245,0.63698393,0.00019150555,0.00013006358,0.0035175509,0.0034985566,0.0055386936,0.0113875335,0.118470095,0.069643095,0.14886753],"study_design_scores_gemma":[0.00014548763,0.00027135265,0.8164808,0.00013583538,0.000106465486,0.0016361094,0.003488358,0.037974287,0.0068690074,0.03539712,0.097413935,0.00008123378],"about_ca_topic_score_codex":0.006389126,"about_ca_topic_score_gemma":0.007471431,"teacher_disagreement_score":0.006389126,"about_ca_system_score_codex":0.0010772716,"about_ca_system_score_gemma":0.0003436266,"threshold_uncertainty_score":0.012993455},"labels":[],"label_agreement":null},{"id":"W2891118671","doi":"10.1111/1540-6261.00580","title":"Risk Reduction in Large Portfolios: Why Imposing the Wrong Constraints Helps","year":2003,"lang":"en","type":"preprint","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Covariance matrix; Portfolio; Mathematics; Estimator; Covariance; Portfolio optimization; Econometrics; Constraint (computer-aided design); Population; Sample (material); Statistics; Economics; Finance","score_opus":0.024945411172721435,"score_gpt":0.22886464008535493,"score_spread":0.20391922891263348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891118671","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33884338,0.004239303,0.6069358,0.025182866,0.00051664223,0.000088922665,0.00022613604,0.00061638857,0.023350626],"genre_scores_gemma":[0.95516515,0.00077753473,0.04114576,0.001089387,0.00025326654,0.000038665574,0.00006388105,0.00010680938,0.0013595428],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99493414,0.00292006,0.00029554244,0.00060885516,0.0010043994,0.00023703268],"domain_scores_gemma":[0.9607016,0.025955223,0.0044411537,0.0058479225,0.0022421053,0.0008119547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00997002,0.00089721323,0.0012227811,0.0005890089,0.0005131527,0.0022609,0.0010263157,0.0016319893,0.0025714966],"category_scores_gemma":[0.09142663,0.00059046893,0.0003764821,0.00071532547,0.0023793334,0.004066938,0.0022327078,0.0029320244,0.00063633494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006556603,0.00032544121,0.017106943,0.00038742015,0.0003615548,0.00064213056,0.00065067696,0.15191016,0.008213998,0.5396266,0.016309045,0.26381043],"study_design_scores_gemma":[0.00014165872,0.000111174995,0.0036138115,0.00007562772,0.00004156549,0.00016067812,0.00013512788,0.13162148,0.0028635722,0.8578839,0.003301978,0.000049554754],"about_ca_topic_score_codex":0.0010177821,"about_ca_topic_score_gemma":0.00076306507,"teacher_disagreement_score":0.00997002,"about_ca_system_score_codex":0.0005198927,"about_ca_system_score_gemma":0.00083144783,"threshold_uncertainty_score":0.052727163},"labels":[],"label_agreement":null},{"id":"W2891537926","doi":"10.3386/w15205","title":"Dynamic Trading with Predictable Returns and Transaction Costs","year":2009,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Transaction cost; Database transaction; Business; Trading strategy; Economics; Financial economics; Computer science; Database; Finance","score_opus":0.19669997493334299,"score_gpt":0.40431495196781303,"score_spread":0.20761497703447004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891537926","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10280222,0.00049899623,0.8808691,0.00094187906,0.00006758277,0.0000731038,0.00012496505,0.00023884427,0.014383377],"genre_scores_gemma":[0.9577691,0.00031967062,0.03616696,0.000093573035,0.00005008217,0.00007567679,0.0000906519,0.00004675224,0.0053874506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925596,0.00018164828,0.000040019448,0.00018070868,0.00020915866,0.00013244415],"domain_scores_gemma":[0.9965229,0.002338143,0.0005270343,0.0002528304,0.00024067292,0.000118377466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012565798,0.0008967962,0.0015580514,0.00049954455,0.00036488788,0.002476379,0.0011172832,0.0015269788,0.0035416638],"category_scores_gemma":[0.010900045,0.0007836747,0.0006580141,0.0006180374,0.0011369025,0.0024315224,0.0012762424,0.0016151405,0.00031866936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045441884,0.000042041305,0.0006805407,0.00003907679,0.00003632866,0.00018438732,0.000029061013,0.8798319,0.00076560903,0.10517593,0.00086306443,0.01230654],"study_design_scores_gemma":[0.000014361496,0.000013231491,0.0001041054,0.000004537304,0.000008381766,0.000030923653,0.0000045656084,0.96742904,0.00021807168,0.031915165,0.00025081018,0.0000069089815],"about_ca_topic_score_codex":0.0029742464,"about_ca_topic_score_gemma":0.0022500588,"teacher_disagreement_score":0.0035416638,"about_ca_system_score_codex":0.0012430376,"about_ca_system_score_gemma":0.0015247145,"threshold_uncertainty_score":0.011848092},"labels":[],"label_agreement":null},{"id":"W2891648029","doi":"10.3386/w13896","title":"The Wealth-Consumption Ratio","year":2008,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"National Science Foundation","keywords":"Consumption (sociology); Economics; Mathematics; Business; Art","score_opus":0.36323040412588237,"score_gpt":0.44089342247885005,"score_spread":0.07766301835296768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891648029","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38532382,0.0018197058,0.5565115,0.0019978145,0.00013697865,0.00027155006,0.006473555,0.0006985285,0.046766505],"genre_scores_gemma":[0.96426755,0.00090711226,0.022696804,0.00008919835,0.000062126404,0.00015234803,0.0013009021,0.00007442027,0.0104495995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995148,0.00013602746,0.000029161276,0.00013724505,0.00012591119,0.00005680525],"domain_scores_gemma":[0.99847406,0.00075448264,0.00030194662,0.00022778632,0.0001546493,0.00008711053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012202611,0.00054322416,0.00049754203,0.0008016916,0.00018057556,0.0015360819,0.0008629456,0.00080185436,0.00756226],"category_scores_gemma":[0.009031727,0.0002649005,0.00045040462,0.0007584875,0.00049269374,0.0034497185,0.00070585177,0.0012563033,0.0012481214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119221484,0.00013887453,0.03327028,0.00008459432,0.00013272736,0.00041708135,0.00024429438,0.25635514,0.0029511922,0.645256,0.0041461918,0.056884404],"study_design_scores_gemma":[0.0000335213,0.00014985628,0.025348254,0.000062333354,0.000071093775,0.00039789182,0.000082237675,0.667546,0.0028600425,0.28865197,0.014700559,0.00009624824],"about_ca_topic_score_codex":0.002336994,"about_ca_topic_score_gemma":0.001115815,"teacher_disagreement_score":0.00756226,"about_ca_system_score_codex":0.000749294,"about_ca_system_score_gemma":0.0004300452,"threshold_uncertainty_score":0.025298238},"labels":[],"label_agreement":null},{"id":"W2891721089","doi":"10.1111/j.1540-6261.2008.01408.x","title":"Trusting the Stock Market","year":2005,"lang":"en","type":"preprint","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Stock (firearms); Stock market; Financial economics; Business; Restricted stock; Perception; Economics; Econometrics; Monetary economics; Geography; Psychology","score_opus":0.04324932501017055,"score_gpt":0.23260647924475006,"score_spread":0.1893571542345795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891721089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55726683,0.004821252,0.06704527,0.052029762,0.0012271566,0.00007190656,0.00067962566,0.00041519655,0.316443],"genre_scores_gemma":[0.98635584,0.00074008363,0.0008920265,0.0004053657,0.00024535353,0.0000059185963,0.000055137116,0.000024079698,0.011276192],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99897075,0.00032216086,0.000059470167,0.00020206528,0.00028559435,0.00015999733],"domain_scores_gemma":[0.9854563,0.0061315177,0.0028819907,0.0027709599,0.0017447015,0.0010144322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023761392,0.00023499619,0.00055857736,0.0006090118,0.00087183696,0.0046884688,0.0005548801,0.0024566734,0.015753005],"category_scores_gemma":[0.031027434,0.00028301775,0.0002739616,0.000584067,0.0017429049,0.008901139,0.0013854462,0.0020783097,0.001668254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032272583,0.0000774419,0.012947106,0.0000919312,0.00011353072,0.00070048816,0.0010560697,0.0049443324,0.0017227235,0.9001274,0.017738428,0.060157675],"study_design_scores_gemma":[0.00005122741,0.00005973643,0.0058839573,0.00003658046,0.00005505593,0.00029382113,0.0004975099,0.021808637,0.0009085767,0.94622177,0.024151606,0.000031494958],"about_ca_topic_score_codex":0.0038913833,"about_ca_topic_score_gemma":0.0024898837,"teacher_disagreement_score":0.015753005,"about_ca_system_score_codex":0.0010812784,"about_ca_system_score_gemma":0.0008285815,"threshold_uncertainty_score":0.05269903},"labels":[],"label_agreement":null},{"id":"W2891816493","doi":"","title":"The Value Spread","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Econometrics; Value premium; Economics; Profitability index; Valuation (finance); Stock (firearms); Statistics; Financial economics; Mathematics; Capital asset pricing model; Geography","score_opus":0.05209708461188099,"score_gpt":0.28861681539901396,"score_spread":0.23651973078713295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891816493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9051965,0.0023782598,0.033973616,0.00073958747,0.00009433725,0.000040535695,0.0033635814,0.00021293842,0.054000594],"genre_scores_gemma":[0.9948084,0.0003326781,0.0013629614,0.00003302269,0.000055138928,0.000011378745,0.0008670113,0.000016542608,0.0025129444],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997172,0.00003551713,0.000017416634,0.00011697108,0.000078497345,0.00003434991],"domain_scores_gemma":[0.99739444,0.0010551952,0.0007270283,0.00030718418,0.00032850713,0.0001876161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005166543,0.0002669786,0.0002332846,0.0015505635,0.00017448777,0.0016621731,0.00036516192,0.0006331094,0.008436631],"category_scores_gemma":[0.0063973223,0.00012138646,0.00023085467,0.001256342,0.00034850225,0.0018944137,0.00059426326,0.0005567396,0.0015932111],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041334372,0.00031486285,0.37789223,0.00018881026,0.00053486164,0.00088469917,0.00092341803,0.04383416,0.018664513,0.2845143,0.010938907,0.260896],"study_design_scores_gemma":[0.000042923166,0.000208338,0.5720784,0.000112168265,0.00013456187,0.0023851877,0.00058464054,0.08499128,0.008652339,0.30754632,0.02313946,0.00012431345],"about_ca_topic_score_codex":0.00067750475,"about_ca_topic_score_gemma":0.0003261468,"teacher_disagreement_score":0.008436631,"about_ca_system_score_codex":0.0003274541,"about_ca_system_score_gemma":0.00015313353,"threshold_uncertainty_score":0.028223336},"labels":[],"label_agreement":null},{"id":"W2892263971","doi":"10.3386/w18104","title":"Volatility, the Macroeconomy and Asset Prices","year":2012,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Volatility (finance); Economics; Asset (computer security); Monetary economics; Financial economics; Econometrics; Computer science","score_opus":0.35541268990528857,"score_gpt":0.44679371377090793,"score_spread":0.09138102386561936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892263971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63028806,0.052618355,0.14026588,0.019554695,0.0006120361,0.00004035805,0.0019672902,0.00024552966,0.1544077],"genre_scores_gemma":[0.98532146,0.007415417,0.002158109,0.00020107742,0.00023885391,0.000011455741,0.00016918276,0.000019252111,0.0044650603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998592,0.00003815155,0.0000079179235,0.000026932432,0.00004123215,0.000026537678],"domain_scores_gemma":[0.99877065,0.0006804096,0.000356639,0.00006779463,0.000058878246,0.000065581975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034458947,0.00033732437,0.00028316947,0.00049174903,0.00029494613,0.0030067477,0.00023339473,0.0007966176,0.0031056937],"category_scores_gemma":[0.0037845767,0.00015987457,0.0002963829,0.0010602803,0.0007018583,0.0016178979,0.00076570845,0.0009960376,0.00030885823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003181402,0.000029333165,0.023265494,0.000096521755,0.00008016776,0.00033955055,0.0001257073,0.041680682,0.0011014761,0.90393645,0.0041533983,0.025159493],"study_design_scores_gemma":[0.0000058653354,0.000020320176,0.018334605,0.000053468015,0.000031683703,0.00025160183,0.00007985103,0.07395013,0.00044277302,0.8940454,0.012761978,0.000022218197],"about_ca_topic_score_codex":0.0035815635,"about_ca_topic_score_gemma":0.0029920123,"teacher_disagreement_score":0.0035815635,"about_ca_system_score_codex":0.0008051885,"about_ca_system_score_gemma":0.00068770396,"threshold_uncertainty_score":0.010389626},"labels":[],"label_agreement":null},{"id":"W2892324450","doi":"10.3390/jrfm11030056","title":"Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profit (economics); Moving average; Computer science; Econometrics; Trading strategy; Pairs trade; Economics; Algorithmic trading; Finance; Microeconomics","score_opus":0.021509196896312387,"score_gpt":0.2219161930127211,"score_spread":0.20040699611640872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892324450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9434338,0.0007195101,0.044778436,0.00015166154,0.00007340226,0.00012121797,0.0002130733,0.0023863225,0.008122504],"genre_scores_gemma":[0.9831402,0.00005496223,0.015452906,0.00003911884,0.000009554029,0.000023609202,0.00008147003,0.000032594773,0.0011656802],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927706,0.00017155673,0.00007936808,0.00013587558,0.00025845887,0.00007772807],"domain_scores_gemma":[0.9983909,0.00076171645,0.00018742442,0.00026090484,0.00027875334,0.00012032674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010501242,0.00065007765,0.00057314907,0.0010742561,0.00015639787,0.0011065545,0.00072198757,0.00062020385,0.0027279397],"category_scores_gemma":[0.0030956506,0.0001762922,0.00023469099,0.00036280428,0.00021744736,0.0007184952,0.00055652525,0.00034436354,0.00048205873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005109357,0.0016689771,0.049313433,0.0005645662,0.00042966913,0.0009817269,0.00037320724,0.20146796,0.076461665,0.0034088492,0.0044628973,0.6557577],"study_design_scores_gemma":[0.00023441616,0.001566731,0.019747177,0.000023557759,0.00018747551,0.0003892504,0.00013272431,0.92756957,0.044054944,0.0011354748,0.004882519,0.00007620059],"about_ca_topic_score_codex":0.0012803205,"about_ca_topic_score_gemma":0.00093030586,"teacher_disagreement_score":0.0027279397,"about_ca_system_score_codex":0.00034358093,"about_ca_system_score_gemma":0.00025761584,"threshold_uncertainty_score":0.009125829},"labels":[],"label_agreement":null},{"id":"W2892347549","doi":"10.1093/jjfinec/nby017","title":"Pseudo-True SDFs in Conditional Asset Pricing Models*","year":2018,"lang":"en","type":"article","venue":"Journal of Financial Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Capital asset pricing model; Estimator; Stochastic discount factor; Econometrics; Smoothing; Kernel density estimation; Affine transformation; Inference; Conditional expectation; Kernel (algebra); Mathematics; Computer science; Statistics; Artificial intelligence","score_opus":0.054240056836378066,"score_gpt":0.23109893563238343,"score_spread":0.17685887879600537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892347549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04922539,0.00028560028,0.9480893,0.00050460285,0.00004266629,0.000021753893,0.00015250473,0.00018421302,0.0014940392],"genre_scores_gemma":[0.8806851,0.00053235324,0.11348034,0.00024151383,0.00014675765,0.000106173145,0.0004388642,0.00015225784,0.0042166705],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997512,0.0013263791,0.00011375017,0.00048026038,0.000405326,0.00016225436],"domain_scores_gemma":[0.9838112,0.011620518,0.0016775881,0.0013619626,0.0010652746,0.00046353272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006517875,0.0006532503,0.0010753917,0.0013095047,0.0004307416,0.0022806223,0.0017395571,0.0014943848,0.003801651],"category_scores_gemma":[0.031401757,0.00065744,0.0011001644,0.0011481587,0.002429224,0.003722391,0.0020037128,0.0028700721,0.0003808881],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053646585,0.000039580133,0.0040472853,0.000090374255,0.000065885564,0.0002176455,0.0001820127,0.23485254,0.0005641135,0.7396378,0.0012626201,0.018986525],"study_design_scores_gemma":[0.000006592213,0.00001618777,0.00061315385,0.00001777277,0.0000085528545,0.000042812266,0.000018345001,0.81239235,0.00016889647,0.1860364,0.00066110824,0.000017835271],"about_ca_topic_score_codex":0.0024215174,"about_ca_topic_score_gemma":0.0015689601,"teacher_disagreement_score":0.006517875,"about_ca_system_score_codex":0.0012831991,"about_ca_system_score_gemma":0.001014309,"threshold_uncertainty_score":0.0344702},"labels":[],"label_agreement":null},{"id":"W2893884530","doi":"10.1287/mnsc.2018.3204","title":"Price Improvement and Execution Risk in Lit and Dark Markets","year":2019,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Dark liquidity; Economics; Valuation (finance); Limit price; Order (exchange); Market liquidity; Great Rift; Dark chocolate; Microeconomics; Limit (mathematics); Price level; Monetary economics; High-frequency trading; Finance; Mathematics","score_opus":0.008668494087032262,"score_gpt":0.18849304813619044,"score_spread":0.17982455404915818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893884530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96674603,0.00023594499,0.022654409,0.0004896719,0.000012950504,0.000021888132,0.00006852293,0.0000606365,0.009710078],"genre_scores_gemma":[0.9980565,0.00003344661,0.0006326393,0.00002012574,0.000009141876,0.0000035492178,0.00001452042,0.0000059094286,0.0012241341],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949527,0.00013089091,0.000027395803,0.000093922434,0.00009890195,0.00015356542],"domain_scores_gemma":[0.9946404,0.0016646663,0.002189457,0.00048123006,0.00022845928,0.0007958765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016316009,0.0003851112,0.00052741054,0.0005721781,0.000544765,0.0030996897,0.0005524315,0.0009574882,0.0059152623],"category_scores_gemma":[0.008155211,0.00032269637,0.00053238834,0.0003845167,0.0025887412,0.0046759113,0.0020238978,0.0014196369,0.00027755898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002905178,0.0006761021,0.082904235,0.000137408,0.00027313753,0.002047673,0.0009789658,0.17325002,0.02100256,0.6641134,0.002113702,0.04959772],"study_design_scores_gemma":[0.00028768106,0.00093972957,0.06448856,0.000037158232,0.000111224035,0.00042549768,0.0005439933,0.251981,0.006188234,0.67290145,0.0019871579,0.00010837517],"about_ca_topic_score_codex":0.0009257782,"about_ca_topic_score_gemma":0.00065541797,"teacher_disagreement_score":0.0059152623,"about_ca_system_score_codex":0.0008785605,"about_ca_system_score_gemma":0.00040350002,"threshold_uncertainty_score":0.019788504},"labels":[],"label_agreement":null},{"id":"W2894383657","doi":"10.1002/for.2556","title":"Does geographic location matter to stock return predictability?","year":2018,"lang":"en","type":"article","venue":"Journal of Forecasting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Predictability; Random walk; Portfolio; Econometrics; Stock (firearms); Variance (accounting); Modern portfolio theory; Random walk hypothesis; Economics; Financial economics; Stock market; Statistics; Geography; Mathematics","score_opus":0.034579764358434135,"score_gpt":0.22344097409364155,"score_spread":0.18886120973520742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894383657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969201,0.00037406874,0.0010995956,0.00041572412,0.000009891387,0.000004143321,0.00013416879,0.000012259371,0.0010300371],"genre_scores_gemma":[0.99970764,0.00007055244,0.000063768915,0.000010557318,0.000014147557,7.585099e-7,0.000034009827,0.0000013836782,0.0000971371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953914,0.00018922133,0.000038695413,0.000112046655,0.00006012303,0.000060755792],"domain_scores_gemma":[0.98189205,0.00911438,0.00661224,0.00091937,0.0008031179,0.00065896154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010345717,0.00017997205,0.00039226832,0.00077958556,0.00022930656,0.0012788555,0.0003511506,0.00063020113,0.0030136353],"category_scores_gemma":[0.012792975,0.00014672913,0.0003624584,0.0013463213,0.00068361737,0.0011370514,0.00048649622,0.000381263,0.000405504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015021456,0.00004123796,0.9850365,0.000028534776,0.0002272611,0.00025120078,0.00012309654,0.004243074,0.00053774053,0.0010467957,0.00025409643,0.008060306],"study_design_scores_gemma":[0.000023266453,0.00013584792,0.97934157,0.000023994984,0.00017703841,0.00025596432,0.0005635946,0.014378812,0.0004859805,0.0039951717,0.00059865456,0.000020023892],"about_ca_topic_score_codex":0.0061983163,"about_ca_topic_score_gemma":0.004715712,"teacher_disagreement_score":0.0061983163,"about_ca_system_score_codex":0.00025440974,"about_ca_system_score_gemma":0.00022439881,"threshold_uncertainty_score":0.012324452},"labels":[],"label_agreement":null},{"id":"W2894798757","doi":"10.3390/jrfm11040060","title":"Bond Risk Premia and Restrictions on Risk Prices","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Risk premium; Economics; Term (time); Bond; Identification (biology); Financial economics; Econometrics; Actuarial science; Finance","score_opus":0.012552108339466012,"score_gpt":0.2024794927957368,"score_spread":0.18992738445627078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894798757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7531179,0.0015771551,0.1992346,0.0026911695,0.00007356634,0.000093234645,0.00090241374,0.00016225262,0.04214776],"genre_scores_gemma":[0.9866367,0.0009903172,0.007653593,0.00007328648,0.00006959062,0.000037138292,0.00049380027,0.000022684415,0.004022844],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845827,0.00055040454,0.00017164796,0.0003021441,0.0003481566,0.00016942767],"domain_scores_gemma":[0.9779514,0.012799609,0.0058339247,0.002211691,0.0006760643,0.0005272543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044422136,0.000508692,0.0006364862,0.0008505321,0.00041344046,0.0031103534,0.00080551853,0.0012720198,0.0077109304],"category_scores_gemma":[0.03785453,0.0005125385,0.00071279815,0.0010170431,0.0018285305,0.0039821924,0.0012540353,0.0028971347,0.0007986462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114691196,0.00011495992,0.034145053,0.00008664729,0.00009577874,0.00026826176,0.00031180045,0.037099056,0.002244229,0.90370196,0.00092873914,0.020888872],"study_design_scores_gemma":[0.00004114697,0.00010550776,0.040661946,0.000050003255,0.0000654442,0.0002489012,0.00017763434,0.07902639,0.0014926214,0.87561417,0.00246293,0.000053252657],"about_ca_topic_score_codex":0.0020474633,"about_ca_topic_score_gemma":0.0015663294,"teacher_disagreement_score":0.0077109304,"about_ca_system_score_codex":0.00063565606,"about_ca_system_score_gemma":0.00054576877,"threshold_uncertainty_score":0.025795639},"labels":[],"label_agreement":null},{"id":"W2895704686","doi":"10.1111/jofi.12718","title":"Anomalies and News","year":2018,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":324,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"","keywords":"Anomaly (physics); Earnings; Stock (firearms); Econometrics; Sample (material); Financial economics; Economics; Business; Accounting; Geography; Physics","score_opus":0.02802751396893472,"score_gpt":0.212915410698655,"score_spread":0.18488789672972028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895704686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98869634,0.0010798095,0.0014102692,0.0008265031,0.00010247825,0.000017506982,0.001864758,0.00007406531,0.005928289],"genre_scores_gemma":[0.99817646,0.00026029887,0.00021273742,0.000057718466,0.0001489582,0.0000036414365,0.00067346933,0.0000112505995,0.0004553396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981768,0.00031110653,0.00021000793,0.00025857196,0.0008372345,0.00020629886],"domain_scores_gemma":[0.95162064,0.020349095,0.02123108,0.001979048,0.0033939213,0.0014261878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013865709,0.00026634248,0.00053396175,0.0026849858,0.0002765845,0.0022143016,0.00033430057,0.00062138186,0.0042362073],"category_scores_gemma":[0.031420145,0.00019042531,0.0002855381,0.003480332,0.0005471746,0.0013750454,0.0006760967,0.0009666663,0.00068486057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025640556,0.00007521987,0.97338796,0.00006550865,0.00017852362,0.00026276457,0.00016907629,0.0011413275,0.0007356165,0.001485207,0.0016051444,0.020637171],"study_design_scores_gemma":[0.000011002467,0.000101181824,0.9871221,0.00003430173,0.00010096561,0.0004293726,0.00035991543,0.0041255536,0.0010924073,0.0036655574,0.0029348407,0.000022753246],"about_ca_topic_score_codex":0.001958514,"about_ca_topic_score_gemma":0.001498324,"teacher_disagreement_score":0.0042362073,"about_ca_system_score_codex":0.00042585595,"about_ca_system_score_gemma":0.00023929436,"threshold_uncertainty_score":0.0141716},"labels":[],"label_agreement":null},{"id":"W2897411085","doi":"10.1016/j.jmoneco.2020.04.010","title":"Do survey expectations of stock returns reflect risk adjustments?","year":2020,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"German-Israeli Foundation for Scientific Research and Development; Deutsche Forschungsgemeinschaft; University of Chicago","keywords":"Economics; Stock (firearms); Ambiguity; Ambiguity aversion; Pessimism; Survey data collection; Econometrics; Robustness (evolution); Rational expectations; Financial economics; Actuarial science; Statistics","score_opus":0.07746050488232441,"score_gpt":0.2409447075227702,"score_spread":0.16348420264044577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897411085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96532947,0.0005441078,0.022087013,0.0015058098,0.000057516478,0.000056833054,0.0014133124,0.00012699039,0.008878941],"genre_scores_gemma":[0.9977423,0.00011177336,0.0010368305,0.00023558932,0.000026444568,0.000020210675,0.00046586248,0.000010132681,0.00035091594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.993374,0.0037965795,0.0006944257,0.00096272,0.00089101226,0.00028136288],"domain_scores_gemma":[0.8295392,0.085134245,0.057279598,0.018412247,0.008216283,0.0014183865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017706832,0.00038877374,0.00056971377,0.00084492215,0.00018653748,0.002795651,0.00067059207,0.0012344999,0.0031356688],"category_scores_gemma":[0.16454045,0.00040726239,0.00047745818,0.0010828442,0.00086144183,0.003492497,0.0007956351,0.0010389091,0.0011707492],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005349171,0.000104415296,0.9625265,0.00012204091,0.00035013675,0.00004653146,0.0011750106,0.0028426717,0.0009102224,0.0030671267,0.0009501742,0.027370302],"study_design_scores_gemma":[0.000025887966,0.00020248079,0.9728329,0.000048289232,0.000115791794,0.00013252156,0.0007912333,0.013164385,0.0016682138,0.009413533,0.0015469282,0.000057793262],"about_ca_topic_score_codex":0.003591885,"about_ca_topic_score_gemma":0.0029293546,"teacher_disagreement_score":0.017706832,"about_ca_system_score_codex":0.00045417927,"about_ca_system_score_gemma":0.00037671134,"threshold_uncertainty_score":0.093643785},"labels":[],"label_agreement":null},{"id":"W2897985725","doi":"10.3390/jrfm12030113","title":"VIX Futures as a Market Timing Indicator","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contrarian; Futures contract; Economics; Financial economics; Volatility (finance); Equity (law); Proxy (statistics); Futures market; Econometrics; Stock market; Context (archaeology); Computer science","score_opus":0.009290571326233827,"score_gpt":0.19520365851098434,"score_spread":0.18591308718475053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897985725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9582913,0.00048253752,0.018173588,0.00032637856,0.00010804443,0.00005544492,0.0010285013,0.00011671052,0.021417372],"genre_scores_gemma":[0.99411535,0.00013804463,0.0037667174,0.000027910537,0.000060565962,0.000012261403,0.00041341214,0.000014276995,0.0014514908],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955875,0.00012867468,0.000044737397,0.0000635586,0.00017323082,0.000031072912],"domain_scores_gemma":[0.994437,0.002202464,0.0023584247,0.00028754244,0.0005195238,0.00019502873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012042847,0.00026842704,0.00019577809,0.0013936987,0.00014920764,0.0013036293,0.00027419312,0.00037459936,0.0029063923],"category_scores_gemma":[0.009267134,0.000088876615,0.00018178554,0.0010576069,0.00021657607,0.0013653316,0.00053648115,0.0004918044,0.0004148631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010706197,0.0002294299,0.6665599,0.00025647352,0.00013115986,0.0008144092,0.00072596327,0.021667648,0.03595097,0.0895488,0.0034750407,0.17956968],"study_design_scores_gemma":[0.000058534984,0.0009656703,0.7851972,0.00012111197,0.00012920315,0.0011767257,0.0006320579,0.13667578,0.022395121,0.034362216,0.018143302,0.00014302508],"about_ca_topic_score_codex":0.00086046435,"about_ca_topic_score_gemma":0.0007365362,"teacher_disagreement_score":0.0029063923,"about_ca_system_score_codex":0.00040880838,"about_ca_system_score_gemma":0.00030101702,"threshold_uncertainty_score":0.009722829},"labels":[],"label_agreement":null},{"id":"W2898250955","doi":"","title":"Performance fees and hedge fund return dynamics","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hedge fund; Performance fee; Risk appetite; Returns-based style analysis; Alternative beta; Active management; Portfolio; Hedge accounting; Rate of return on a portfolio; Business; Open-end fund; Financial economics; Market neutral; Economics; Modern portfolio theory; Project portfolio management; Finance; Institutional investor; Risk management; Corporate governance","score_opus":0.07273699322892448,"score_gpt":0.2877594235402729,"score_spread":0.21502243031134843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898250955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97254586,0.0007470878,0.013237991,0.0012005689,0.00004774843,0.000012371891,0.00014575543,0.00013033103,0.011932255],"genre_scores_gemma":[0.99808264,0.00009188262,0.00033457202,0.000013766242,0.00001568536,0.0000016853865,0.00003212386,0.000009376935,0.0014182007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994469,0.000087967,0.000041198175,0.00009692108,0.00020096116,0.00012598863],"domain_scores_gemma":[0.9947008,0.002015764,0.0019458072,0.00036891407,0.0005346856,0.00043398532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001253504,0.00029386661,0.00035545946,0.0010669642,0.00045128545,0.0032142287,0.0005143162,0.001313037,0.0033570507],"category_scores_gemma":[0.024935309,0.00021145729,0.0002205132,0.0007483709,0.0010942745,0.003497346,0.0009185401,0.0011987003,0.00054987706],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009067785,0.00024272602,0.12621276,0.00013501197,0.000098735996,0.0016903938,0.0016351976,0.11724003,0.017921582,0.6180516,0.006425082,0.10944026],"study_design_scores_gemma":[0.000072225135,0.000188503,0.14701463,0.00005828707,0.000055016044,0.0014898413,0.000730236,0.53497946,0.004499849,0.30256692,0.008207047,0.00013791911],"about_ca_topic_score_codex":0.002701522,"about_ca_topic_score_gemma":0.001118142,"teacher_disagreement_score":0.0033570507,"about_ca_system_score_codex":0.0012821974,"about_ca_system_score_gemma":0.00038539746,"threshold_uncertainty_score":0.011230469},"labels":[],"label_agreement":null},{"id":"W2899192207","doi":"10.1111/jofi.12991","title":"Liquidity Supply in the Corporate Bond Market","year":2020,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Market liquidity; Liquidity risk; Liquidity crisis; Accounting liquidity; Corporate bond; Monetary economics; Bond; Business; Funding liquidity; Explanatory power; Market impact; Economics; Financial economics; Financial system; Finance; Order (exchange); Market microstructure","score_opus":0.06364933531755922,"score_gpt":0.2113874467682855,"score_spread":0.1477381114507263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899192207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936466,0.00073442794,0.0013623924,0.00059761154,0.0000066443176,0.0000072483467,0.00045708017,0.000023005956,0.0031649864],"genre_scores_gemma":[0.99937254,0.000105341154,0.00005987985,0.000013981352,0.000013832626,0.0000021980727,0.00011367046,0.0000019296851,0.0003166469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996679,0.0000936777,0.00003154317,0.000055454795,0.00009940776,0.000052032],"domain_scores_gemma":[0.9920608,0.0030277644,0.0037700762,0.0001636296,0.0005510762,0.00042656908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009297928,0.00014895831,0.00038850695,0.0009582471,0.00021664958,0.0023493662,0.00026674962,0.0006142298,0.003683801],"category_scores_gemma":[0.0071728397,0.0002359335,0.00017416528,0.0008346372,0.00044390853,0.0019685922,0.0007186147,0.0006519222,0.0004114982],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069448916,0.00033305513,0.8859151,0.00021621527,0.00031655355,0.0010967873,0.000930635,0.033910632,0.009424896,0.03854805,0.0025657276,0.026047846],"study_design_scores_gemma":[0.00008845354,0.0002562917,0.8047485,0.00013799463,0.00014079071,0.0005439319,0.0014435996,0.12103858,0.0045327335,0.06235161,0.0046360646,0.00008152298],"about_ca_topic_score_codex":0.001283149,"about_ca_topic_score_gemma":0.0008465492,"teacher_disagreement_score":0.003683801,"about_ca_system_score_codex":0.0005072049,"about_ca_system_score_gemma":0.00025272203,"threshold_uncertainty_score":0.012323558},"labels":[],"label_agreement":null},{"id":"W2899295964","doi":"10.5539/mas.v12n11p330","title":"The Capital Assets Pricing Model &amp; Arbitrage Pricing Theory: Properties and Applications in Jordan","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Diversification (marketing strategy); Arbitrage pricing theory; Systematic risk; Stock exchange; Consumption-based capital asset pricing model; Rational pricing; Valuation (finance); Security market line; Econometrics; Arbitrage; Business; Economics; Financial economics; Stock market; Finance","score_opus":0.040444317911024874,"score_gpt":0.22324400656275992,"score_spread":0.18279968865173504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899295964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7408253,0.0044001136,0.22193769,0.002298226,0.000060440405,0.00007661535,0.0002901964,0.00021805192,0.029893434],"genre_scores_gemma":[0.9891804,0.0008760237,0.007861633,0.000054034965,0.00004797996,0.000033558466,0.00010528433,0.000013633935,0.0018275053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993722,0.00032110274,0.000027230786,0.00008344764,0.0001273114,0.00006863744],"domain_scores_gemma":[0.99798214,0.0011547358,0.00033700012,0.00012901527,0.00029299804,0.0001040609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018497293,0.0005186121,0.0006891408,0.0010530495,0.00044979094,0.002098247,0.0008326795,0.0009954182,0.0015708819],"category_scores_gemma":[0.0063975346,0.00025416657,0.00084077317,0.0011941487,0.00092869985,0.002651087,0.00096998713,0.00097538764,0.00020853106],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001337263,0.00019600356,0.026043743,0.00014740493,0.00016097985,0.00058467744,0.0005420383,0.59034485,0.0008471457,0.33926436,0.0028014057,0.038933672],"study_design_scores_gemma":[0.000018614175,0.000037689842,0.0020183965,0.000018501703,0.000018290422,0.000111365865,0.00006577502,0.90487087,0.00013606135,0.09152444,0.0011653303,0.000014708604],"about_ca_topic_score_codex":0.0068730838,"about_ca_topic_score_gemma":0.0017188091,"teacher_disagreement_score":0.0068730838,"about_ca_system_score_codex":0.0009927494,"about_ca_system_score_gemma":0.0009629394,"threshold_uncertainty_score":0.013666153},"labels":[],"label_agreement":null},{"id":"W2899388332","doi":"10.3390/risks6040124","title":"Alpha Beta Risk and Stock Returns—A Decomposition Analysis of Idiosyncratic Volatility with Conditional Models","year":2018,"lang":"en","type":"article","venue":"Risks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Northern British Columbia","funders":"","keywords":"Predictability; Econometrics; Stock (firearms); Conditional variance; BETA (programming language); Economics; Volatility (finance); Systematic risk; Covariance; Realized variance; Variance decomposition of forecast errors; Mathematics; Statistics; Autoregressive conditional heteroskedasticity; Computer science","score_opus":0.050462595865455706,"score_gpt":0.2682142807804922,"score_spread":0.2177516849150365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899388332","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.465893,0.0011170288,0.5280239,0.0007455869,0.00004797063,0.000030311649,0.00026493781,0.00020845342,0.0036687858],"genre_scores_gemma":[0.9812214,0.00055271335,0.016355988,0.00003319142,0.00006695426,0.000023639064,0.00026179827,0.000035879926,0.0014484709],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990097,0.0005113049,0.000044146327,0.00012296562,0.00017113064,0.00014061152],"domain_scores_gemma":[0.9922569,0.004904285,0.0012727263,0.0007413852,0.0005283581,0.0002962639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039773253,0.00065404986,0.00058041606,0.0015137712,0.00026089515,0.0018068436,0.0005615796,0.0005549499,0.0017623486],"category_scores_gemma":[0.012953121,0.00048310866,0.0014296623,0.0012571699,0.00074196886,0.0016747373,0.001258986,0.0013901878,0.00022941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033125433,0.00017818405,0.07676213,0.00012296159,0.00079986424,0.00048829394,0.0003449444,0.5558543,0.004548861,0.3038956,0.0025490131,0.054124516],"study_design_scores_gemma":[0.000007919146,0.000029534043,0.0102588,0.000019841746,0.000060338178,0.00006532878,0.00002780209,0.94373953,0.00029652566,0.045116495,0.0003559995,0.000021852413],"about_ca_topic_score_codex":0.006662525,"about_ca_topic_score_gemma":0.0031605798,"teacher_disagreement_score":0.006662525,"about_ca_system_score_codex":0.0007424424,"about_ca_system_score_gemma":0.0009787495,"threshold_uncertainty_score":0.02103436},"labels":[],"label_agreement":null},{"id":"W2900463633","doi":"10.2139/ssrn.3128673","title":"The Impact of Business and Economics News on Investor Attention","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Sherbrooke","funders":"","keywords":"Business; Economics","score_opus":0.017860681018903295,"score_gpt":0.22274078948632195,"score_spread":0.20488010846741866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900463633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9445489,0.0036308428,0.00022786265,0.0077208295,0.00037405718,0.000014204467,0.0008953193,0.000022198123,0.042565785],"genre_scores_gemma":[0.99395555,0.0011870662,0.000026908077,0.000497036,0.00054413924,0.0000034435832,0.00027671448,0.000011122894,0.0034981375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991321,0.00026373347,0.00005723623,0.00009250061,0.00021666542,0.00023772972],"domain_scores_gemma":[0.95078707,0.03367258,0.009706489,0.000732155,0.00252706,0.0025746727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016806985,0.00021206241,0.0003862972,0.0014456152,0.00044992982,0.004546127,0.00033844082,0.0017510043,0.013178584],"category_scores_gemma":[0.032831557,0.00020447573,0.00029728058,0.001457349,0.0005687293,0.002123813,0.00086471415,0.0016727239,0.0014683722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004723388,0.0016013017,0.82078934,0.0003621754,0.0007352432,0.00200557,0.001662382,0.004653231,0.003557308,0.017100086,0.028535953,0.11427413],"study_design_scores_gemma":[0.00011159101,0.0003793761,0.97831446,0.00007682085,0.00029676408,0.00025720292,0.001879348,0.0035394118,0.0010671262,0.0063476586,0.0076888576,0.00004129758],"about_ca_topic_score_codex":0.004204022,"about_ca_topic_score_gemma":0.004937718,"teacher_disagreement_score":0.013178584,"about_ca_system_score_codex":0.0009506163,"about_ca_system_score_gemma":0.00037791755,"threshold_uncertainty_score":0.044086754},"labels":[],"label_agreement":null},{"id":"W2900885289","doi":"10.1016/j.jfineco.2018.11.011","title":"Should investors learn about the timing of equity risk?","year":2018,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Equity (law); Business; Financial economics; Economics; Actuarial science; Monetary economics; Financial system; Political science; Law","score_opus":0.10060235171537503,"score_gpt":0.27682748085875303,"score_spread":0.176225129143378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900885289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66289496,0.0152452,0.036464088,0.22054636,0.0014699035,0.000041742514,0.001183763,0.00022162426,0.061932325],"genre_scores_gemma":[0.9877698,0.004031457,0.0014526211,0.002988157,0.0007077711,0.000006705319,0.00012258759,0.000024945732,0.0028959326],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995153,0.00018302987,0.0000326406,0.00008606758,0.0001009216,0.000082041326],"domain_scores_gemma":[0.9789924,0.012041529,0.0053805592,0.0010621353,0.0015467064,0.0009766996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037500886,0.0002076824,0.00045721568,0.0004385894,0.00024849485,0.0030086709,0.0006121076,0.0028326858,0.006579235],"category_scores_gemma":[0.055690385,0.00029565734,0.00019149172,0.00042899823,0.00101709,0.01015083,0.0004983173,0.0030853564,0.0012724093],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017124283,0.0007334177,0.33935657,0.0004007621,0.00044160394,0.0011257036,0.0016512296,0.011392768,0.0030957824,0.2482844,0.036909483,0.35489586],"study_design_scores_gemma":[0.00016189371,0.00027723613,0.10996551,0.00023955223,0.00015427572,0.0006447052,0.0021508257,0.018397478,0.0028990703,0.83719397,0.027827742,0.000087796245],"about_ca_topic_score_codex":0.0011456131,"about_ca_topic_score_gemma":0.0012033078,"teacher_disagreement_score":0.006579235,"about_ca_system_score_codex":0.00059922563,"about_ca_system_score_gemma":0.0005835562,"threshold_uncertainty_score":0.02200979},"labels":[],"label_agreement":null},{"id":"W2901162840","doi":"10.1111/irfi.12245","title":"Momentum Trading with the <i>ℓ</i> <sub>1</sub> ‐Filter: Are the Markets Efficient?*","year":2018,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prairie Improvement Network","funders":"","keywords":"Momentum (technical analysis); Financial crisis; Economics; Trend following; Financial economics; Asset (computer security); Globe; Business; Monetary economics; Computer science; Macroeconomics","score_opus":0.018805584447668295,"score_gpt":0.2201336087722111,"score_spread":0.2013280243245428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901162840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9391483,0.0004157693,0.048465513,0.0006454781,0.000029770774,0.000033877044,0.00010293495,0.00014768801,0.011010656],"genre_scores_gemma":[0.99631774,0.000065483946,0.00298199,0.000036935577,0.000020539635,0.0000057144966,0.000026618924,0.000007961564,0.00053708925],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995523,0.00013975035,0.000025745987,0.00008836812,0.00010767027,0.00008608661],"domain_scores_gemma":[0.9946116,0.002936762,0.0015283731,0.0004612288,0.00031106177,0.00015089665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022243042,0.00025387158,0.00049354264,0.00043210617,0.0002649336,0.0023901148,0.00052328315,0.00059517554,0.00306835],"category_scores_gemma":[0.012602779,0.00018730278,0.00036335806,0.00040856155,0.0006091578,0.0022527794,0.00037177705,0.00044155522,0.00030963068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001809443,0.0005819255,0.29533356,0.00039944134,0.0009965646,0.0014666428,0.0006512634,0.13316399,0.019570976,0.18704854,0.006930171,0.35204756],"study_design_scores_gemma":[0.00021131919,0.00074794685,0.13719235,0.00009041298,0.00028736636,0.00059206045,0.00050498336,0.75038046,0.009209889,0.09568435,0.005025548,0.000073359355],"about_ca_topic_score_codex":0.0020931948,"about_ca_topic_score_gemma":0.0018691818,"teacher_disagreement_score":0.00306835,"about_ca_system_score_codex":0.0004474261,"about_ca_system_score_gemma":0.00034797323,"threshold_uncertainty_score":0.011763394},"labels":[],"label_agreement":null},{"id":"W2901248590","doi":"10.1287/mnsc.2018.3182","title":"Regulations and Brain Drain: Evidence from Wall Street Star Analysts’ Career Choices","year":2019,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Equity (law); Investment banking; Business; Revenue; Finance; Unintended consequences; Star (game theory); Investment (military); Accounting; Political science","score_opus":0.039230351413449605,"score_gpt":0.2297615882483375,"score_spread":0.1905312368348879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901248590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974963,0.00016880258,0.000033256987,0.0005252261,0.0000037761752,0.0000038528096,0.00012353383,8.836794e-7,0.0016442488],"genre_scores_gemma":[0.99875915,0.0002013268,0.00003268008,0.00014899073,0.000010420834,0.00000445851,0.00013021565,0.0000019407735,0.0007107462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984091,0.0005785425,0.00014790974,0.00016987945,0.00036438002,0.0003301183],"domain_scores_gemma":[0.9483268,0.018574137,0.023840884,0.001118566,0.0021800597,0.0059596016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024184794,0.00010538032,0.00020169203,0.0014422224,0.0010079065,0.0016906399,0.0004190355,0.00095702265,0.0037774444],"category_scores_gemma":[0.018927721,0.00020261454,0.00017153882,0.0015422675,0.0010200469,0.0010820471,0.0012744106,0.0012292302,0.00067151745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015102586,0.00015418135,0.98897856,0.000008217373,0.0000139719305,0.00019096119,0.0026962261,0.000043298693,0.000092725604,0.0005136407,0.0007954236,0.0063617593],"study_design_scores_gemma":[0.000014220263,0.000102624326,0.9861864,0.000043398424,0.000010701248,0.00026719342,0.010154965,0.00025973874,0.00018929926,0.0006399903,0.002114092,0.0000174417],"about_ca_topic_score_codex":0.008015231,"about_ca_topic_score_gemma":0.013727238,"teacher_disagreement_score":0.008015231,"about_ca_system_score_codex":0.00040010386,"about_ca_system_score_gemma":0.0009313102,"threshold_uncertainty_score":0.01593721},"labels":[],"label_agreement":null},{"id":"W2901388691","doi":"10.2139/ssrn.3128734","title":"Lured by the Consensus: The Implications of Treating All Analysts As Equal","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Political science; Business","score_opus":0.02302608902424723,"score_gpt":0.24948094730731743,"score_spread":0.22645485828307022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901388691","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055968568,0.005096492,0.039918184,0.7175783,0.006018511,0.00014308385,0.00014201978,0.0000868576,0.175048],"genre_scores_gemma":[0.90393335,0.0012750535,0.0072975587,0.072306074,0.0040518157,0.00016967441,0.0000338543,0.000072768475,0.0108599765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9439566,0.03077959,0.0020232245,0.00850762,0.010618225,0.0041148053],"domain_scores_gemma":[0.8251997,0.09258285,0.016919898,0.020691061,0.030323936,0.014282607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.071764976,0.00064918265,0.00214727,0.0023413897,0.007658069,0.013683961,0.0036009345,0.014949529,0.00981021],"category_scores_gemma":[0.25913316,0.000594041,0.000793173,0.0019930806,0.01903532,0.016693741,0.0071637346,0.014256614,0.001663853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023003848,0.000057706522,0.0027859847,0.000092627066,0.00015309843,0.00016687237,0.002158544,0.0011194556,0.00012850837,0.92257,0.032935124,0.037602026],"study_design_scores_gemma":[0.00007242958,0.000016742051,0.00065806723,0.00007128844,0.000029317105,0.000057574445,0.0006959632,0.0009311365,0.00008406844,0.98812765,0.009235719,0.000020042487],"about_ca_topic_score_codex":0.005518156,"about_ca_topic_score_gemma":0.005984308,"teacher_disagreement_score":0.071764976,"about_ca_system_score_codex":0.006339555,"about_ca_system_score_gemma":0.011011525,"threshold_uncertainty_score":0.379534},"labels":[],"label_agreement":null},{"id":"W2901447750","doi":"","title":"The Effects of Index Changes on Stock Trading: Evidence from the EGX","year":2018,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Index (typography); Economics; Monetary economics; Stock exchange; Econometrics; Financial economics; Finance","score_opus":0.043392004403739755,"score_gpt":0.23752941788918616,"score_spread":0.19413741348544641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901447750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979563,0.00088829995,0.00002540647,0.000104284714,0.000004980039,0.000002905571,0.00031081244,0.000002509043,0.00070457126],"genre_scores_gemma":[0.997971,0.0008524955,0.00003925052,0.000044620436,0.000030607604,0.0000023945759,0.00068989047,0.0000018968288,0.00036779145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995745,0.00007385991,0.000057218178,0.00008582145,0.000134701,0.00007403805],"domain_scores_gemma":[0.9929261,0.0013221347,0.0047490057,0.00024942143,0.00045467462,0.00029877012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068184955,0.00017959713,0.0001989252,0.0009670804,0.00014526019,0.0008382398,0.00029481374,0.00040335886,0.0011937483],"category_scores_gemma":[0.0034044208,0.00008433907,0.0002707751,0.0014112721,0.00033364724,0.0005049627,0.0006661888,0.00041191877,0.00027582215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052378315,0.00013950508,0.9822041,0.00010099342,0.0001969449,0.00036897583,0.00042125123,0.00030974415,0.00096750894,0.00024187585,0.00055582705,0.013969482],"study_design_scores_gemma":[0.000004838514,0.000100755584,0.9985098,0.000011509177,0.00004596016,0.00003943185,0.00021625661,0.00014040826,0.00029711702,0.000044921064,0.00058535533,0.0000035744874],"about_ca_topic_score_codex":0.008638418,"about_ca_topic_score_gemma":0.010490967,"teacher_disagreement_score":0.008638418,"about_ca_system_score_codex":0.00040690752,"about_ca_system_score_gemma":0.0002460085,"threshold_uncertainty_score":0.01717627},"labels":[],"label_agreement":null},{"id":"W2903281171","doi":"","title":"CEO Sensation Seeking and Accounting Conservatism","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Sensation seeking; Conservatism; Endogeneity; Psychology; Big Five personality traits; Trait; Social psychology; Sensation; Personality; Accounting; Business; Economics; Political science; Econometrics; Cognitive psychology","score_opus":0.016413792932072194,"score_gpt":0.20686456990656651,"score_spread":0.1904507769744943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903281171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976279,0.000061671664,0.00027923236,0.00010759865,0.0000028510192,0.0000033759384,0.000012283294,0.0000026672426,0.0019025175],"genre_scores_gemma":[0.9997732,0.0000134432385,0.00005092636,0.00001355091,0.0000033005426,8.2504357e-7,0.000008527181,3.406487e-7,0.00013591803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996742,0.000118116935,0.000026150576,0.00003200792,0.00008073371,0.00006889108],"domain_scores_gemma":[0.9874154,0.005370752,0.00512212,0.0006012663,0.00040016696,0.0010903013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010282736,0.00010418313,0.000139563,0.00041713042,0.0001613569,0.00079412933,0.00012973075,0.0003065317,0.003961365],"category_scores_gemma":[0.007817886,0.000057933106,0.00026893042,0.00026823953,0.0004454003,0.00035115628,0.0006726412,0.0004500995,0.00013835418],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003090471,0.00031980593,0.9732421,0.00006363142,0.000099358134,0.00016538202,0.0009427152,0.00062885927,0.004057465,0.0020300893,0.0001755185,0.017966164],"study_design_scores_gemma":[0.000004041032,0.00008283056,0.99750036,0.000010359544,0.0000132686455,0.000076595665,0.00039847815,0.0007103489,0.0002614384,0.0007660578,0.00017024245,0.000005910024],"about_ca_topic_score_codex":0.0005007071,"about_ca_topic_score_gemma":0.00079466944,"teacher_disagreement_score":0.003961365,"about_ca_system_score_codex":0.0002343165,"about_ca_system_score_gemma":0.00021327846,"threshold_uncertainty_score":0.0132520795},"labels":[],"label_agreement":null},{"id":"W2904286662","doi":"10.1016/j.bir.2018.12.001","title":"Examining the dynamics of illiquidity risks within the phases of the business cycle","year":2018,"lang":"en","type":"article","venue":"Borsa Istanbul Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Business cycle; Kalman filter; Econometrics; Economics; Dynamic factor; Context (archaeology); Risk premium; Factor analysis; Generalized method of moments; Capital asset pricing model; Mathematics; Panel data; Macroeconomics; Statistics","score_opus":0.09149904063724268,"score_gpt":0.2745148663671499,"score_spread":0.1830158257299072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904286662","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051866885,0.9107503,0.014785248,0.009098327,0.00057802646,0.000025415597,0.00026036345,0.000036423804,0.01259905],"genre_scores_gemma":[0.23851267,0.7526196,0.0021949566,0.00075105386,0.0017764454,0.000031307613,0.00023456763,0.00003061605,0.003848846],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99965274,0.0001070866,0.000024083998,0.00007025054,0.00009975155,0.000046094992],"domain_scores_gemma":[0.99589574,0.002681645,0.00060078915,0.000084854924,0.00063327333,0.00010367059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001816996,0.00038760633,0.0006868123,0.0017596078,0.00018676689,0.0021964796,0.000559978,0.0011101015,0.0019716376],"category_scores_gemma":[0.009576448,0.00018230958,0.00037402072,0.0022012775,0.0005665538,0.0025690468,0.0005588764,0.0012247104,0.0003474803],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003831029,0.00008987007,0.018485423,0.0052143224,0.00036021363,0.0003905364,0.0004302255,0.025333313,0.0030529005,0.26969603,0.021388931,0.6551751],"study_design_scores_gemma":[0.00008116394,0.0005068491,0.081049524,0.007172673,0.0007859221,0.0012453602,0.0014656238,0.03604682,0.003932231,0.36089107,0.50666434,0.00015845259],"about_ca_topic_score_codex":0.0016806921,"about_ca_topic_score_gemma":0.0012216752,"teacher_disagreement_score":0.0021964796,"about_ca_system_score_codex":0.00083408743,"about_ca_system_score_gemma":0.0010160238,"threshold_uncertainty_score":0.009609342},"labels":[],"label_agreement":null},{"id":"W2905129512","doi":"10.2139/ssrn.3221946","title":"Institutional Brokerage Networks: Facilitating Liquidity Provision","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Business; Market liquidity; Financial system; Finance","score_opus":0.017636266979257,"score_gpt":0.21752231653008103,"score_spread":0.19988604955082404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905129512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6485913,0.0030977412,0.10368303,0.015892638,0.000605179,0.0002972548,0.0004470062,0.0015363942,0.22584952],"genre_scores_gemma":[0.99119157,0.0003594568,0.0040474986,0.00015022124,0.00013139019,0.00003673082,0.00005228175,0.00002059175,0.0040102196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998539,0.00080520724,0.0000625139,0.00018204185,0.00015254604,0.0002586675],"domain_scores_gemma":[0.98568314,0.007860008,0.0026340461,0.0012909474,0.00074555504,0.0017862929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024867498,0.00024372592,0.00019199157,0.0011095495,0.0012143286,0.005108402,0.00093013,0.0017759756,0.02279555],"category_scores_gemma":[0.021094656,0.00026296338,0.0002256432,0.0011503225,0.0010619775,0.0063078008,0.0034879541,0.0011401153,0.0022251583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015925128,0.0011855572,0.051980257,0.00061121315,0.000120485354,0.0020845141,0.0065720384,0.014398685,0.011194462,0.5627854,0.032989047,0.3144859],"study_design_scores_gemma":[0.0010257426,0.0009634789,0.035672665,0.00079318223,0.00048359472,0.0014455472,0.01277296,0.11255689,0.009970675,0.59242094,0.23173752,0.00015676668],"about_ca_topic_score_codex":0.0010534463,"about_ca_topic_score_gemma":0.0013489197,"teacher_disagreement_score":0.02279555,"about_ca_system_score_codex":0.00083491526,"about_ca_system_score_gemma":0.0014373529,"threshold_uncertainty_score":0.07625872},"labels":[],"label_agreement":null},{"id":"W2905168099","doi":"10.1111/boer.12185","title":"PERFORMANCE‐BASED FEE CONTRACT AND RISK‐TAKING STRATEGY IN ASSET MANAGEMENT TOURNAMENT","year":2018,"lang":"en","type":"article","venue":"Bulletin of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Manning Diversified Forest Products (Canada); Acadia University","funders":"National Natural Science Foundation of China","keywords":"Tournament; Performance fee; Asset (computer security); Cash flow; Business; Benchmark (surveying); Actuarial science; Asset management; Cash; Microeconomics; Affect (linguistics); Economics; Finance; Fund administration; Incentive; Fund of funds; Computer science","score_opus":0.10956453032856497,"score_gpt":0.32472886231846676,"score_spread":0.21516433198990179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905168099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99601424,0.000044495508,0.00055537705,0.00009534798,0.0000061001324,0.000013756094,0.000018606243,0.0000043936056,0.003247784],"genre_scores_gemma":[0.9994754,0.000006529223,0.00008227655,0.00001204915,0.0000029998682,0.000004619006,0.000010451007,8.882965e-7,0.00040480736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762374,0.001218076,0.00013002433,0.00020837162,0.00037893426,0.00044090697],"domain_scores_gemma":[0.9723662,0.010894242,0.009089018,0.0010683564,0.0011251575,0.0054570576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003502064,0.0001922418,0.00035040887,0.0003702355,0.00061102427,0.002252319,0.00042463784,0.000992651,0.0046121674],"category_scores_gemma":[0.020681413,0.00011005703,0.00018859253,0.00033993737,0.0008337652,0.0009516449,0.0009192471,0.00100025,0.00041888116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022315232,0.0038201064,0.91060877,0.00005556372,0.00018375827,0.0005358317,0.0012655318,0.017743599,0.005511492,0.017486349,0.0012134307,0.03934414],"study_design_scores_gemma":[0.000087997825,0.0017298814,0.94449776,0.000021298134,0.000054565924,0.00020680623,0.0015064835,0.036378648,0.0005849731,0.013199259,0.0016752313,0.00005701117],"about_ca_topic_score_codex":0.001590402,"about_ca_topic_score_gemma":0.0018336741,"teacher_disagreement_score":0.0046121674,"about_ca_system_score_codex":0.0011472818,"about_ca_system_score_gemma":0.00053897104,"threshold_uncertainty_score":0.018520951},"labels":[],"label_agreement":null},{"id":"W290525047","doi":"10.2470/rf.v2012.n4.1","title":"A New Look at Currency Investing","year":2012,"lang":"en","type":"book","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Research Foundation of CFA Institute","keywords":"Currency; Economics; Business; Monetary economics","score_opus":0.056320090961894144,"score_gpt":0.21322465453955144,"score_spread":0.1569045635776573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W290525047","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004635116,0.31234214,0.0075700413,0.058358442,0.006979331,0.000013597825,0.000128697,0.00012832039,0.6098443],"genre_scores_gemma":[0.13086513,0.36075228,0.006550722,0.01372231,0.011084985,0.00004194737,0.00019958947,0.00020569253,0.47657746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99968064,0.0000718971,0.000015685591,0.000058531696,0.00012886833,0.00004436656],"domain_scores_gemma":[0.9995152,0.00024016298,0.0000389521,0.000053979056,0.000089313566,0.00006236388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063156086,0.00058532646,0.0004782692,0.0012154186,0.00083928235,0.006088746,0.00065765524,0.0020595305,0.013716791],"category_scores_gemma":[0.0015288681,0.00029064063,0.0003254445,0.0023161694,0.0035498415,0.011775839,0.0011211167,0.004222159,0.0020636665],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014759612,0.00002375188,0.00017360708,0.000102842794,0.000005766513,0.000052408173,0.0002837082,0.0005325834,0.00015559114,0.8092729,0.088864535,0.10051759],"study_design_scores_gemma":[0.000004266205,0.000013681247,0.00031580584,0.00030983926,0.000004551888,0.00018444126,0.00021733633,0.00056420674,0.000116826275,0.30990934,0.6883483,0.000011438733],"about_ca_topic_score_codex":0.0020119022,"about_ca_topic_score_gemma":0.0038767403,"teacher_disagreement_score":0.013716791,"about_ca_system_score_codex":0.0020073336,"about_ca_system_score_gemma":0.0013306646,"threshold_uncertainty_score":0.04588723},"labels":[],"label_agreement":null},{"id":"W2905297563","doi":"10.3386/w25344","title":"Monetary Policy and Reaching for Income","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Monetary policy; Monetary economics","score_opus":0.35127826526225936,"score_gpt":0.4648525566443151,"score_spread":0.11357429138205571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905297563","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98484313,0.0007044194,0.0019498637,0.0012334823,0.000021380818,0.0000073670603,0.00008493213,0.000013767484,0.011141644],"genre_scores_gemma":[0.99850225,0.00032288927,0.00024053517,0.000058022073,0.000019731548,0.0000031821999,0.00003464319,0.0000019502627,0.00081680703],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99980396,0.000068160014,0.000010491256,0.000027949376,0.000035424644,0.00005404617],"domain_scores_gemma":[0.9970529,0.0014645344,0.0011572661,0.00008264281,0.000087829125,0.00015480166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005873898,0.00016365091,0.00017759674,0.00031942155,0.00022540559,0.0009601456,0.00018590465,0.00043457706,0.0028751364],"category_scores_gemma":[0.0059879483,0.00007890429,0.0001700249,0.0003641064,0.00035094726,0.0008471338,0.00038268077,0.0006507641,0.00036883377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013701266,0.0011507471,0.5589054,0.00019256349,0.00022867111,0.0014466676,0.0010922916,0.05936297,0.010839557,0.22011808,0.0049451003,0.14034784],"study_design_scores_gemma":[0.00026729095,0.0008660622,0.62258506,0.00015417254,0.000205568,0.0007146646,0.0018050958,0.12749945,0.009093934,0.21928695,0.017447656,0.000074073105],"about_ca_topic_score_codex":0.0017425788,"about_ca_topic_score_gemma":0.0010478207,"teacher_disagreement_score":0.0028751364,"about_ca_system_score_codex":0.00057210086,"about_ca_system_score_gemma":0.00032733296,"threshold_uncertainty_score":0.009618342},"labels":[],"label_agreement":null},{"id":"W2905606229","doi":"10.1257/aeri.20190155","title":"Ambiguity, Nominal Bond Yields, and Real Bond Yields","year":2020,"lang":"en","type":"article","venue":"American Economic Review Insights","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Bond; Ambiguity; Knightian uncertainty; Inflation (cosmology); Econometrics; Bond valuation; Risk premium; Yield (engineering); Yield curve; Nominal interest rate; Interest rate; Real interest rate; Mathematical economics; Monetary economics; Computer science; Physics; Thermodynamics","score_opus":0.038861659481448714,"score_gpt":0.23989587048886882,"score_spread":0.2010342110074201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905606229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63012296,0.01243758,0.21779512,0.018301545,0.0004090305,0.000033099226,0.000783397,0.0002150817,0.1199022],"genre_scores_gemma":[0.9933322,0.0018793121,0.0013828432,0.000082484985,0.000088117544,0.0000063718035,0.00006668534,0.000014552913,0.0031474733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99967897,0.000120180855,0.000016999345,0.000058767855,0.00007865059,0.00004639995],"domain_scores_gemma":[0.99831533,0.0007853192,0.00056954555,0.00007184178,0.00013653732,0.00012142932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011874636,0.0004261199,0.00035961438,0.00047089174,0.00031009418,0.0033220712,0.00048368948,0.001840892,0.0035998677],"category_scores_gemma":[0.009257957,0.00035843597,0.00035390758,0.0005864366,0.0010226741,0.004247962,0.00073613523,0.0015597845,0.00047575452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008464719,0.00003240509,0.005175939,0.000061151346,0.000034593475,0.0002767825,0.00013585172,0.13939764,0.00066744833,0.8405162,0.002297969,0.011319423],"study_design_scores_gemma":[0.0000144289515,0.000026665144,0.0033474006,0.000027684559,0.000016499625,0.00011564136,0.000092258546,0.16408223,0.00018333633,0.82895076,0.0031205085,0.000022593365],"about_ca_topic_score_codex":0.0020383834,"about_ca_topic_score_gemma":0.0009350142,"teacher_disagreement_score":0.0035998677,"about_ca_system_score_codex":0.001267207,"about_ca_system_score_gemma":0.0005424713,"threshold_uncertainty_score":0.01204282},"labels":[],"label_agreement":null},{"id":"W2906199406","doi":"10.1002/cfp2.1022","title":"The existence and persistence of financial anomalies: What have you done for me lately?","year":2018,"lang":"en","type":"article","venue":"Financial Planning Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"SFU Community Trust Endowment Fund","keywords":"Persistence (discontinuity); Earnings; Excess return; Economics; Period (music); Actuarial science; Econometrics; Financial economics; Business; Accounting; History; Engineering; Philosophy","score_opus":0.07844112418110868,"score_gpt":0.26810617146974236,"score_spread":0.18966504728863368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906199406","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017740825,0.39560676,0.00273024,0.5698222,0.012118925,0.000033784483,0.00047493758,0.000050887633,0.0014214815],"genre_scores_gemma":[0.16872165,0.5651589,0.01129479,0.15545255,0.093269974,0.00013406241,0.0008834705,0.00014518763,0.0049393647],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99625045,0.0015822973,0.00063186925,0.00064907473,0.000713083,0.00017329157],"domain_scores_gemma":[0.90378743,0.05541885,0.00868009,0.0037200216,0.025160307,0.003233355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02442272,0.00076353276,0.0016820191,0.002722259,0.0012363213,0.0063428483,0.0015255779,0.0044145207,0.0040136045],"category_scores_gemma":[0.10713487,0.00039478875,0.00096421916,0.003927257,0.0035336323,0.013428065,0.0023169783,0.0075626895,0.0017157454],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005532222,0.00025251912,0.15158863,0.00446231,0.00073922635,0.00026510487,0.0038002338,0.00068138377,0.00060218986,0.013861021,0.17126188,0.65193224],"study_design_scores_gemma":[0.00021506047,0.0015138835,0.22191958,0.037655883,0.0015057554,0.0022381197,0.035161506,0.004410996,0.002385656,0.08451526,0.60752946,0.00094877864],"about_ca_topic_score_codex":0.009646308,"about_ca_topic_score_gemma":0.0094018495,"teacher_disagreement_score":0.02442272,"about_ca_system_score_codex":0.0014745938,"about_ca_system_score_gemma":0.0032150778,"threshold_uncertainty_score":0.12916124},"labels":[],"label_agreement":null},{"id":"W2906318594","doi":"10.3929/ethz-b-000192358","title":"The space of outcomes of semi-static trading strategies need not be closed","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"ETH Zürich Foundation; Austrian Science Fund; Eidgenössische Technische Hochschule Zürich; Vienna Science and Technology Fund; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Closure (psychology); Investment (military); Space (punctuation); Asset (computer security); Trading strategy; Economics; Investment strategy; Contrast (vision); Financial economics; Microeconomics; Econometrics; Computer science; Mathematical economics; Business; Finance; Computer security; Artificial intelligence","score_opus":0.09735251193826984,"score_gpt":0.1905081460614048,"score_spread":0.09315563412313495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906318594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6148325,0.0014589519,0.36123314,0.0026679724,0.00013707682,0.00009801728,0.001930443,0.00049153535,0.017150346],"genre_scores_gemma":[0.97550404,0.0010139751,0.018316973,0.00023197233,0.0001385125,0.0002338586,0.0016286098,0.00016151324,0.002770558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996252,0.001265701,0.0003787775,0.0007758654,0.00076725095,0.0005604671],"domain_scores_gemma":[0.9769986,0.0146825295,0.0028587554,0.0015197773,0.0018101392,0.0021301473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038449573,0.0012185803,0.0019289339,0.0024487157,0.0014262308,0.0062386957,0.0015287428,0.0017403814,0.005245513],"category_scores_gemma":[0.020115653,0.00060829124,0.0013801923,0.0019885926,0.0051232674,0.008698054,0.0039138533,0.0036979124,0.0007167161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024047236,0.00014009477,0.0043844758,0.00019939053,0.00008773857,0.00051850814,0.0005777843,0.014496719,0.001990798,0.95428264,0.0015863861,0.02149497],"study_design_scores_gemma":[0.00003306061,0.00008892039,0.0010616757,0.00005469039,0.000014089067,0.00020972289,0.00013785477,0.036125753,0.00072455214,0.9601028,0.001412113,0.000034870707],"about_ca_topic_score_codex":0.0005904501,"about_ca_topic_score_gemma":0.0002862555,"teacher_disagreement_score":0.0062386957,"about_ca_system_score_codex":0.001051924,"about_ca_system_score_gemma":0.000990953,"threshold_uncertainty_score":0.020334363},"labels":[],"label_agreement":null},{"id":"W2906733244","doi":"10.5539/ijef.v11n1p129","title":"Mean Reversion and Momentum in Central and Eastern European Countries – A Case Study on Poland and Romania","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mean reversion; Economics; Stock (firearms); Momentum (technical analysis); Stock market; Market capitalization; Capitalization; Financial economics; Monetary economics; Geography","score_opus":0.02173094153907778,"score_gpt":0.2203225275344026,"score_spread":0.1985915859953248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906733244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958884,0.00069821783,0.00014068968,0.00006313068,0.0000020848638,0.000017139299,0.00005157394,0.0000032185148,0.0031354458],"genre_scores_gemma":[0.99864775,0.0006384822,0.00025029233,0.000018779408,0.0000029741748,0.000007818835,0.000067532055,0.0000019524673,0.00036437102],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996939,0.000094326315,0.000035233727,0.000031625266,0.000038833092,0.0001061121],"domain_scores_gemma":[0.9990706,0.00028868366,0.00036603492,0.00007023669,0.00010607265,0.00009842578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009775865,0.00025053526,0.00034848478,0.0016223761,0.0005672389,0.0014217111,0.00032830087,0.00048614765,0.0006892187],"category_scores_gemma":[0.0017705198,0.00015760268,0.00049911666,0.0018472326,0.0008666921,0.0007868523,0.0012604845,0.00040563138,0.00007726979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005914573,0.00061057764,0.8733824,0.00037902445,0.00038622017,0.025667764,0.0061200857,0.018112376,0.0015446428,0.025806006,0.0020978872,0.04530153],"study_design_scores_gemma":[0.0001530344,0.00040890047,0.94703513,0.00032173723,0.00023030788,0.004623489,0.015385087,0.014693432,0.0015187489,0.003528573,0.012041484,0.000060129954],"about_ca_topic_score_codex":0.021288857,"about_ca_topic_score_gemma":0.017606616,"teacher_disagreement_score":0.021288857,"about_ca_system_score_codex":0.0007541325,"about_ca_system_score_gemma":0.0005585214,"threshold_uncertainty_score":0.042329907},"labels":[],"label_agreement":null},{"id":"W2907026031","doi":"","title":"Do Insiders Exploit Anomalies","year":2018,"lang":"fr","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Insider trading; Exploit; Anomaly (physics); Insider; Stock (firearms); Trading strategy; Construct (python library); Anomaly detection; Business; Econometrics; Financial economics; Economics; Computer science; Geography; Finance; Data mining; Computer security; Physics; Political science","score_opus":0.023186757960170078,"score_gpt":0.2216045156371917,"score_spread":0.1984177576770216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907026031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947048,0.0006248931,0.000654813,0.00042329467,0.000021005455,0.0000050784993,0.00022696344,0.000015388026,0.0033238865],"genre_scores_gemma":[0.99905103,0.00023917966,0.00014047232,0.000053168802,0.00004699739,0.000001648396,0.00016071904,0.000003556738,0.00030324055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912983,0.00020326223,0.00007876737,0.0001939636,0.00027661354,0.000117724776],"domain_scores_gemma":[0.9775095,0.0072470447,0.011571206,0.0022016142,0.0007965228,0.0006741749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017879009,0.00019001738,0.0003445806,0.0012405023,0.00019273275,0.0012782923,0.00037635813,0.0006880174,0.002277619],"category_scores_gemma":[0.016369708,0.00021347906,0.00030098547,0.00091742224,0.00047954769,0.002057396,0.0006672464,0.0005315345,0.00050950947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009524888,0.000039101244,0.9700162,0.00003076987,0.00012990563,0.00015417146,0.00048324943,0.0008520221,0.0004890957,0.0015482123,0.0008722205,0.025289731],"study_design_scores_gemma":[0.000012937657,0.000111448295,0.9803711,0.00005762204,0.00010249361,0.00057252275,0.0010254548,0.0059897224,0.0010059554,0.0062475405,0.004477708,0.000025541794],"about_ca_topic_score_codex":0.001299149,"about_ca_topic_score_gemma":0.0017396607,"teacher_disagreement_score":0.002277619,"about_ca_system_score_codex":0.00021082496,"about_ca_system_score_gemma":0.00014472265,"threshold_uncertainty_score":0.009455442},"labels":[],"label_agreement":null},{"id":"W2907030068","doi":"10.3390/jrfm12010004","title":"A Communication Theoretic Interpretation of Modern Portfolio Theory Including Short Sales, Leverage and Transaction Costs","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Transaction cost; Portfolio; Modern portfolio theory; Computer science; Portfolio optimization; Database transaction; Post-modern portfolio theory; Application portfolio management; Replicating portfolio; Economics; Project portfolio management; Microeconomics; Financial economics; Artificial intelligence; Project management","score_opus":0.01622563110753125,"score_gpt":0.22500454544890985,"score_spread":0.2087789143413786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907030068","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057973852,0.0016077929,0.96710914,0.0016357128,0.00023750175,0.00003151881,0.0000881023,0.00004816245,0.023444748],"genre_scores_gemma":[0.7400398,0.008784838,0.21294567,0.0016983271,0.004252875,0.00028771095,0.00027410485,0.00009384072,0.031622868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986731,0.00051721337,0.000088829394,0.00016855764,0.0004465347,0.00010580711],"domain_scores_gemma":[0.99770594,0.0013710862,0.00037401888,0.00022451633,0.0002428661,0.000081559534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015576644,0.0011250591,0.00087668025,0.00156477,0.00064344,0.0031422535,0.0011830357,0.0026370424,0.00715986],"category_scores_gemma":[0.005949131,0.0003812194,0.0009746244,0.0019689426,0.0022119777,0.0069068014,0.001640761,0.0023044322,0.00096276595],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007820196,0.000009974063,0.00012468298,0.000047989324,0.000012235543,0.000074919924,0.000041757994,0.010642838,0.00034702738,0.97767526,0.0008734719,0.010141979],"study_design_scores_gemma":[0.000006994837,0.000037269154,0.00015402415,0.00003984347,0.00001438395,0.00017681117,0.000019188816,0.054632965,0.00028678053,0.9400891,0.0045258147,0.000016769056],"about_ca_topic_score_codex":0.00054625253,"about_ca_topic_score_gemma":0.0002989954,"teacher_disagreement_score":0.00715986,"about_ca_system_score_codex":0.0011239155,"about_ca_system_score_gemma":0.00089957967,"threshold_uncertainty_score":0.023952127},"labels":[],"label_agreement":null},{"id":"W2907471264","doi":"10.1111/1911-3846.12462","title":"Déjà Vu: The Effect of Executives and Directors with Prior Banking Crisis Experience on Bank Outcomes around the Global Financial Crisis","year":2018,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Oklahoma; University of Cincinnati; Texas A and M University; World Bank Group","keywords":"Financial crisis; Business; Accounting; Financial system; Salient; Quality (philosophy); Economics; Political science","score_opus":0.05031454915238959,"score_gpt":0.3117601555727274,"score_spread":0.2614456064203378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907471264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998298,0.00014828534,0.000021226726,0.00039842597,0.000017107845,0.0000031207353,0.00011561973,0.0000014328799,0.0009968418],"genre_scores_gemma":[0.99944407,0.00004894378,0.000012368154,0.000051208375,0.00001609761,0.0000031288503,0.00010607718,9.598322e-7,0.00031718457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915195,0.000290898,0.00006745271,0.00011870653,0.00011856216,0.0002524634],"domain_scores_gemma":[0.9826652,0.003636825,0.008781444,0.0005690069,0.0006716955,0.0036757225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013657329,0.00015202998,0.00020981966,0.000517341,0.0003781864,0.0013027579,0.0003012217,0.0005565038,0.00627162],"category_scores_gemma":[0.010993945,0.00010275291,0.00028137388,0.00052032154,0.00040604596,0.0006967783,0.00088181545,0.00082318956,0.00038063113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013034932,0.00011740868,0.9945977,0.000011432269,0.00004154387,0.000062668914,0.00041646513,0.0000862024,0.000078329125,0.00007576297,0.00054497784,0.0038372697],"study_design_scores_gemma":[0.0000030764947,0.000048010465,0.99877375,0.00001512664,0.0000109657985,0.000032763062,0.00072085933,0.000055000088,0.000034124776,0.000029773073,0.00027456283,0.0000019812867],"about_ca_topic_score_codex":0.007548259,"about_ca_topic_score_gemma":0.011647563,"teacher_disagreement_score":0.007548259,"about_ca_system_score_codex":0.00030325833,"about_ca_system_score_gemma":0.00044092792,"threshold_uncertainty_score":0.020980716},"labels":[],"label_agreement":null},{"id":"W2907594022","doi":"","title":"The Momentum Effect for Canadian Corporate Bonds","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Momentum (technical analysis); Portfolio; Corporate bond; Bond; Economics; Investment (military); Financial economics; Sample (material); State (computer science); Business; Monetary economics; Physics; Mathematics; Finance; Political science","score_opus":0.05402322945223593,"score_gpt":0.27786784098897455,"score_spread":0.22384461153673862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907594022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816875,0.0019064137,0.00044410216,0.0010528025,0.000035963923,0.000020971911,0.007024788,0.000039898285,0.00778759],"genre_scores_gemma":[0.99286795,0.00066727825,0.00012061686,0.000052721454,0.000017082133,0.0000042903275,0.003765241,0.000011780924,0.0024931263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988852,0.000072979696,0.00004989148,0.00022283728,0.0004509618,0.00031811235],"domain_scores_gemma":[0.992677,0.0009760411,0.001948915,0.00048513093,0.0029528777,0.0009601578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015960975,0.0003215527,0.0004603276,0.002076637,0.0012347802,0.0020221842,0.00062026177,0.0004857157,0.0033075616],"category_scores_gemma":[0.013453541,0.00018794001,0.0005232617,0.0038590205,0.0006226636,0.0007615899,0.00083583896,0.0009967026,0.00026882684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033796093,0.00006282351,0.93140244,0.000075882155,0.00028024008,0.0003887722,0.0010489149,0.004917089,0.0006342983,0.010008273,0.017895369,0.032947935],"study_design_scores_gemma":[0.000018135765,0.000025266407,0.98554856,0.000029136922,0.000086936016,0.000086166496,0.00047812008,0.004006239,0.00042677665,0.0006989287,0.008559984,0.000035728728],"about_ca_topic_score_codex":0.97278756,"about_ca_topic_score_gemma":0.9741353,"teacher_disagreement_score":0.027212441,"about_ca_system_score_codex":0.0132597685,"about_ca_system_score_gemma":0.011331026,"threshold_uncertainty_score":0.096206784},"labels":[],"label_agreement":null},{"id":"W2908257453","doi":"10.5539/ijef.v11n2p1","title":"Market Timing and Selectivity: An Empirical Investigation of European Mutual Fund Performance","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market timing; Treynor ratio; Mutual fund; Equity (law); Closed-end fund; Target date fund; Manager of managers fund; Economics; Open-end fund; Business; Finance; Financial economics; Econometrics; Institutional investor; Political science","score_opus":0.060846570439093146,"score_gpt":0.2552044668102776,"score_spread":0.19435789637118445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908257453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993222,0.00005963873,0.000096872755,0.000015785867,7.7941877e-7,0.0000032370835,0.000039770606,0.0000017228491,0.00045993298],"genre_scores_gemma":[0.99968815,0.000030269328,0.00005890014,0.0000046428017,0.0000047558956,0.000002275497,0.00010178021,9.81193e-7,0.00010837909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790335,0.0007249878,0.0003386013,0.00025442283,0.00056534354,0.00021336324],"domain_scores_gemma":[0.9367266,0.030581456,0.027266392,0.001877103,0.0018378726,0.001710467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004766458,0.00023745206,0.0003300797,0.0019141482,0.0002235568,0.00096510607,0.00042657935,0.0006521825,0.0013214478],"category_scores_gemma":[0.033674292,0.000104980936,0.000257777,0.0018616166,0.0005445656,0.0014520171,0.0011607617,0.00036059605,0.00024443548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002604181,0.00008008054,0.9904467,0.000011392029,0.000050111932,0.0000871351,0.00031690844,0.00048116263,0.00023693121,0.00018082782,0.00006891771,0.007779396],"study_design_scores_gemma":[0.0000054930724,0.0001378016,0.9979809,0.0000054564466,0.000013788987,0.00012716289,0.00018129562,0.0010432643,0.00023697237,0.000079064834,0.00018360067,0.00000528869],"about_ca_topic_score_codex":0.0018895242,"about_ca_topic_score_gemma":0.0014848921,"teacher_disagreement_score":0.004766458,"about_ca_system_score_codex":0.0005222935,"about_ca_system_score_gemma":0.00031360687,"threshold_uncertainty_score":0.025207758},"labels":[],"label_agreement":null},{"id":"W2908323785","doi":"10.5539/ijef.v11n1p151","title":"Should Investors on Equity Markets Be Superstitious? (Example of 7 World Stock Indexes Components)","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Stock (firearms); Portfolio; Financial economics; Economics; Financial market; Monetary economics; Finance; History; Political science","score_opus":0.11149982948300691,"score_gpt":0.277509789157699,"score_spread":0.16600995967469212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908323785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9118689,0.0031994618,0.004842081,0.005815326,0.00015185939,0.00004548848,0.00039351988,0.000050807666,0.07363265],"genre_scores_gemma":[0.9895343,0.0010235112,0.0013098912,0.00049091916,0.00011956533,0.000010848246,0.00013244587,0.000011223969,0.007367309],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996082,0.000121631,0.000017702665,0.00006314034,0.00014503434,0.00004420716],"domain_scores_gemma":[0.99878675,0.00060132256,0.00030369507,0.00011438003,0.00012153138,0.00007221181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000922098,0.00021983932,0.00018637071,0.0005226421,0.00034378294,0.0013111358,0.00024319228,0.00047679374,0.0075836484],"category_scores_gemma":[0.0033889168,0.00008625386,0.00024298947,0.0007268518,0.00082597695,0.0016477432,0.0006371648,0.0005125895,0.0005937684],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012126922,0.00034853563,0.33417985,0.00045597597,0.00021338151,0.0022928743,0.0061930493,0.0017633784,0.008806355,0.2649313,0.0144178355,0.36518478],"study_design_scores_gemma":[0.000073697855,0.0006204594,0.7462322,0.00018903607,0.00024868827,0.001196746,0.006193317,0.0048926356,0.009572251,0.1161812,0.114536375,0.00006339455],"about_ca_topic_score_codex":0.0017735554,"about_ca_topic_score_gemma":0.0018909735,"teacher_disagreement_score":0.0075836484,"about_ca_system_score_codex":0.00035991071,"about_ca_system_score_gemma":0.00017243307,"threshold_uncertainty_score":0.025369823},"labels":[],"label_agreement":null},{"id":"W2909062856","doi":"10.1057/s41260-019-00108-6","title":"Asymmetric stock price and investor awareness reactions to changes in the Nasdaq 100 index","year":2019,"lang":"en","type":"article","venue":"Journal of Asset Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Index (typography); Financial economics; Business; Economics; Monetary economics; Index fund; Stock market index; Hedge fund; Stock (firearms); Finance; Stock market; Institutional investor; Computer science","score_opus":0.03571895475993545,"score_gpt":0.24778003311107516,"score_spread":0.21206107835113971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909062856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99761117,0.000017144584,0.000041125244,0.00010348691,0.00000964141,0.0000046305013,0.000053284624,0.000002590729,0.0021569657],"genre_scores_gemma":[0.9995053,0.000015816397,0.000030587493,0.000046614565,0.000015287673,0.000002926867,0.00007678512,0.0000022217853,0.00030453558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995316,0.00010277667,0.000041640607,0.00006509548,0.00018729994,0.00007161405],"domain_scores_gemma":[0.9855805,0.0057584937,0.0059930594,0.000553584,0.0011002563,0.001014087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009963367,0.00013805911,0.00019541664,0.00048280347,0.00019627002,0.0011514341,0.00023227763,0.00083030213,0.0035610707],"category_scores_gemma":[0.018832615,0.00013619014,0.00016364873,0.00036702544,0.00021595106,0.0005845886,0.00049500156,0.001070389,0.00047094963],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017816151,0.001047206,0.97234774,0.000025603473,0.000114267845,0.00030821734,0.0011611125,0.0013429617,0.0096798055,0.0008414843,0.0009071824,0.010442969],"study_design_scores_gemma":[0.000013829971,0.00011763752,0.99716175,0.0000032750247,0.000020897854,0.00005159174,0.00045066373,0.0012480381,0.00045985347,0.00027504432,0.00018924173,0.000008224763],"about_ca_topic_score_codex":0.0026401782,"about_ca_topic_score_gemma":0.0024260564,"teacher_disagreement_score":0.0035610707,"about_ca_system_score_codex":0.00039198907,"about_ca_system_score_gemma":0.00022309303,"threshold_uncertainty_score":0.011913002},"labels":[],"label_agreement":null},{"id":"W29092591","doi":"10.1515/9781400829477","title":"Triumph of the Optimists","year":2002,"lang":"en","type":"book","venue":"Princeton University Press eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":681,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.042385745912054205,"score_gpt":0.17014460215241248,"score_spread":0.12775885624035827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W29092591","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05822308,0.0485778,0.007422462,0.4356256,0.016045978,0.000030165402,0.00039185793,0.00036417492,0.43331888],"genre_scores_gemma":[0.6834598,0.031115659,0.0053939214,0.089246206,0.012203341,0.0000526172,0.0002611871,0.00075286825,0.17751445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99689865,0.0008213165,0.00010433665,0.0005439052,0.0013005435,0.0003312664],"domain_scores_gemma":[0.9968804,0.0011182782,0.00034361283,0.00035096626,0.0007241801,0.0005825683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003455643,0.0005653072,0.00048931624,0.0014243394,0.0029033222,0.013940397,0.0006259457,0.002034028,0.0063679954],"category_scores_gemma":[0.009625089,0.0003685615,0.00039668844,0.0010979583,0.010712641,0.012222861,0.0042841886,0.007711532,0.0022351302],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012325228,0.000038035454,0.0033517487,0.00013836932,0.000051341867,0.00025978847,0.013313471,0.00031595395,0.00056873314,0.6057726,0.28369084,0.09237593],"study_design_scores_gemma":[0.000015269468,0.000046514055,0.0042858464,0.00033895168,0.000015587717,0.00036191603,0.008419455,0.00036520252,0.0003284548,0.1606116,0.8251686,0.000042434895],"about_ca_topic_score_codex":0.0018237212,"about_ca_topic_score_gemma":0.0030581567,"teacher_disagreement_score":0.013940397,"about_ca_system_score_codex":0.003007677,"about_ca_system_score_gemma":0.0016699432,"threshold_uncertainty_score":0.021822333},"labels":[],"label_agreement":null},{"id":"W2910402021","doi":"10.2139/ssrn.3111467","title":"Are Weather-Based Trading Strategies Profitable?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; York University","funders":"","keywords":"Business; Trading strategy; Industrial organization; Finance","score_opus":0.02546299298461748,"score_gpt":0.22522315127643522,"score_spread":0.19976015829181773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910402021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9638747,0.0015805339,0.0062776315,0.0037017672,0.00011761621,0.000013933312,0.00025349946,0.00004839769,0.02413202],"genre_scores_gemma":[0.99876034,0.0003105735,0.00017218641,0.00007347566,0.000057843452,0.0000018619281,0.000039029957,0.0000063176276,0.0005783816],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996747,0.00006031698,0.000028362545,0.00006610962,0.00006363165,0.000106868276],"domain_scores_gemma":[0.99350893,0.0027834864,0.0026733703,0.00035744527,0.00026004584,0.00041673094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094302156,0.00023065468,0.0004863219,0.00048064714,0.00031195962,0.002956532,0.0005180479,0.0018342459,0.0063662934],"category_scores_gemma":[0.0121078435,0.00024876153,0.00034070597,0.0005370974,0.0011718248,0.005064016,0.00056294404,0.00092549506,0.0006409459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00200439,0.00064373465,0.48347265,0.0004869061,0.0012425131,0.0022238125,0.00091495714,0.046761777,0.012204782,0.2636968,0.011157229,0.1751905],"study_design_scores_gemma":[0.00017998826,0.00029199937,0.37619907,0.00010543041,0.0002732962,0.0011921512,0.0022888768,0.08705434,0.0024164224,0.5239572,0.0059528714,0.00008830168],"about_ca_topic_score_codex":0.0012627058,"about_ca_topic_score_gemma":0.0017903518,"teacher_disagreement_score":0.0063662934,"about_ca_system_score_codex":0.0004738236,"about_ca_system_score_gemma":0.00047636987,"threshold_uncertainty_score":0.021297336},"labels":[],"label_agreement":null},{"id":"W2910592831","doi":"10.2139/ssrn.1360976","title":"Time-Varying Preferences and SAD: Evidence from an Asset Pricing Model","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia; University of Toronto; York University","funders":"","keywords":"Download; Computer science; Asset (computer security); Capital asset pricing model; Internet privacy; World Wide Web; Business; Advertising; Computer security; Econometrics; Economics","score_opus":0.03395981084627655,"score_gpt":0.24295112064805854,"score_spread":0.208991309801782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910592831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939714,0.0002734314,0.0035308923,0.00028504338,0.000011449002,0.000008716822,0.0001157895,0.000012531626,0.0017906402],"genre_scores_gemma":[0.9985567,0.0002118198,0.0004559703,0.000032628428,0.0000123202935,0.0000029398088,0.00013494887,0.000004033192,0.000588715],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996519,0.00015888909,0.000021275939,0.000061720224,0.00004403552,0.0000620441],"domain_scores_gemma":[0.9825143,0.013683053,0.001635756,0.0010042979,0.0003840897,0.0007784793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033978974,0.00038887712,0.00069362856,0.00046741337,0.00038012164,0.001972255,0.00094367855,0.0009368517,0.0073819924],"category_scores_gemma":[0.016168794,0.00029698794,0.0007008918,0.00070352305,0.00081440044,0.0012719315,0.0006165184,0.0019175521,0.00056124147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011805616,0.003016545,0.67880625,0.00026420387,0.0013094036,0.0018994691,0.0022411747,0.11162719,0.004075172,0.08465897,0.004442783,0.095853314],"study_design_scores_gemma":[0.0010851712,0.001202062,0.35106537,0.000047685236,0.0009119811,0.0009262905,0.0016274278,0.45992562,0.00087418774,0.1792799,0.0029335874,0.00012073521],"about_ca_topic_score_codex":0.0050756717,"about_ca_topic_score_gemma":0.0030520149,"teacher_disagreement_score":0.0073819924,"about_ca_system_score_codex":0.00046085074,"about_ca_system_score_gemma":0.00024208553,"threshold_uncertainty_score":0.024695277},"labels":[],"label_agreement":null},{"id":"W2911469207","doi":"10.3386/w16892","title":"Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity","year":2011,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Harvard Business School","keywords":"Predictability; Treasury; Market liquidity; Inflation (cosmology); Monetary economics; Economics; Econometrics; Financial economics; Mathematics; Statistics; Geography","score_opus":0.39152139287748444,"score_gpt":0.4373889959198212,"score_spread":0.04586760304233678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911469207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937231,0.00036009107,0.0010575125,0.00070670736,0.000010790324,0.0000075185562,0.00046437077,0.000032784883,0.0036371083],"genre_scores_gemma":[0.9990037,0.0000876915,0.00012035593,0.000031036412,0.000024798626,0.0000029393527,0.0004233851,0.000007278167,0.00029875664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993641,0.0001539984,0.000067279485,0.000109763874,0.0001781005,0.00012674004],"domain_scores_gemma":[0.9792474,0.009942389,0.007772606,0.00083785463,0.001170679,0.0010291772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019109014,0.00033471547,0.00043506324,0.0012090304,0.00031144224,0.002227371,0.00034760416,0.00055061135,0.003646437],"category_scores_gemma":[0.017368972,0.0002121257,0.00063380797,0.0015361718,0.0004836439,0.0019412552,0.00084354175,0.0014238905,0.0005988705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026406112,0.0001628398,0.9712452,0.000034578632,0.00023647227,0.00027349452,0.00018372921,0.009015856,0.0011895183,0.0041236165,0.0011746447,0.012095978],"study_design_scores_gemma":[0.000035108365,0.00013766733,0.92043126,0.00002941027,0.00017656246,0.0002447363,0.00028927854,0.06702181,0.0015348105,0.009226274,0.0008293025,0.00004384425],"about_ca_topic_score_codex":0.013153122,"about_ca_topic_score_gemma":0.013451807,"teacher_disagreement_score":0.013153122,"about_ca_system_score_codex":0.0005721609,"about_ca_system_score_gemma":0.0007346859,"threshold_uncertainty_score":0.026153147},"labels":[],"label_agreement":null},{"id":"W2911568209","doi":"","title":"Gross Profit Surprises and Cross-Section of Stock Returns","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gross profit; Economics; Earnings surprise; Predictive power; Earnings; Revenue; Stock (firearms); Profit (economics); Exploit; Portfolio; Econometrics; Quarter (Canadian coin); Financial economics; Finance; Earnings per share; Post-earnings-announcement drift; Microeconomics; Geography","score_opus":0.016788223576493424,"score_gpt":0.22698442913551412,"score_spread":0.2101962055590207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911568209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99756086,0.00015930017,0.0007124823,0.00009469209,0.000013613748,0.000003678214,0.00035437563,0.0000352799,0.0010659202],"genre_scores_gemma":[0.9992403,0.000050923732,0.000055089942,0.000010917586,0.000014631306,0.0000012400983,0.00036848176,0.000002900212,0.0002555275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965954,0.000047185633,0.00002878401,0.0000986753,0.00008776446,0.00007811622],"domain_scores_gemma":[0.990989,0.0036446743,0.0033471067,0.0007547506,0.00054374075,0.0007206439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012049829,0.0003441387,0.00033954787,0.0007657643,0.0001468635,0.000871281,0.00028783153,0.00057865406,0.0023864736],"category_scores_gemma":[0.009667271,0.00012924192,0.00037451202,0.0008056117,0.00026664638,0.0008011269,0.00061197364,0.00062880735,0.00068307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015837494,0.000057571368,0.98129106,0.000011436551,0.00013285084,0.00024608438,0.000065317836,0.009256325,0.00055163907,0.00085076975,0.00064636674,0.0067322776],"study_design_scores_gemma":[0.0000033791587,0.0001043019,0.9666758,0.000004964674,0.000033991484,0.00019349642,0.00007778353,0.030829597,0.00043735324,0.0012249018,0.00040046082,0.000013893781],"about_ca_topic_score_codex":0.0046298765,"about_ca_topic_score_gemma":0.004435881,"teacher_disagreement_score":0.0046298765,"about_ca_system_score_codex":0.00035478303,"about_ca_system_score_gemma":0.00019514369,"threshold_uncertainty_score":0.009205878},"labels":[],"label_agreement":null},{"id":"W2912008214","doi":"10.1111/basr.12164","title":"Does Ethical Reinforcement Pay? Evidence from the Canadian Mutual Fund Industry in the Post‐Financial Crisis Era","year":2019,"lang":"en","type":"article","venue":"Business and Society Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University; Ontario Tech University","funders":"","keywords":"Financial crisis; Perspective (graphical); Business; Reinforcement; Finance; Accounting; Economics; Psychology; Social psychology","score_opus":0.04990879393313304,"score_gpt":0.2542373708760912,"score_spread":0.20432857694295817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912008214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9080271,0.036998473,0.00013166382,0.018037628,0.000086672306,0.00004733077,0.00094744586,0.000006612342,0.03571702],"genre_scores_gemma":[0.987064,0.010687754,0.000049755145,0.0005589418,0.000037867892,0.0000067088777,0.00018709755,0.0000026526295,0.0014051722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99688405,0.0005008707,0.00010955896,0.00018554924,0.0014918795,0.00082807924],"domain_scores_gemma":[0.97523105,0.0055622705,0.007836164,0.000625175,0.008709257,0.0020360798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048049167,0.0001655462,0.00034618395,0.0023186058,0.001764684,0.0028551342,0.0009766867,0.0008922746,0.003523276],"category_scores_gemma":[0.0278676,0.00013902746,0.00023966904,0.0040425523,0.0018474883,0.0010371251,0.0011190925,0.0010526838,0.00020462998],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088515313,0.00023846171,0.8040769,0.0012475478,0.00031231006,0.0010175748,0.017684072,0.0003836815,0.0004190329,0.019230848,0.020407096,0.13409728],"study_design_scores_gemma":[0.000026221018,0.000037791262,0.9634229,0.0005800386,0.000102200225,0.000095771014,0.011039668,0.00015360108,0.00013214495,0.0005863634,0.023800865,0.000022453836],"about_ca_topic_score_codex":0.92243224,"about_ca_topic_score_gemma":0.9508249,"teacher_disagreement_score":0.077567756,"about_ca_system_score_codex":0.019755071,"about_ca_system_score_gemma":0.030235201,"threshold_uncertainty_score":0.15604907},"labels":[],"label_agreement":null},{"id":"W2912250759","doi":"10.2139/ssrn.3217081","title":"Are CEOS Paid Extra for Riskier Pay Packages?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Business; Labour economics; Accounting; Economics","score_opus":0.026331479107457655,"score_gpt":0.23039410965185028,"score_spread":0.20406263054439264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912250759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8775382,0.003860102,0.0013274365,0.07180104,0.0010204867,0.000041877596,0.0003133297,0.00006052002,0.04403703],"genre_scores_gemma":[0.9913385,0.00033925776,0.00022768784,0.004085653,0.0006125716,0.000008298275,0.00006134292,0.00001616429,0.0033105062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99567384,0.0011524068,0.00021692392,0.0003710938,0.0012357837,0.0013498836],"domain_scores_gemma":[0.9451514,0.018567637,0.021082062,0.0020979787,0.0039624195,0.0091385655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044260956,0.00022524512,0.0006599938,0.0011410655,0.00090623146,0.0035943592,0.0007381464,0.0026878614,0.022781348],"category_scores_gemma":[0.06160516,0.00024372127,0.00044787946,0.0008777656,0.0012978623,0.0029019336,0.00084126764,0.0023845898,0.002109749],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021204972,0.0015725761,0.6001193,0.00026612874,0.0005861978,0.0010415826,0.0030870256,0.00059953314,0.0018136138,0.040326,0.042011213,0.30645627],"study_design_scores_gemma":[0.0005681028,0.00082537794,0.86613667,0.0004892974,0.0004940246,0.0019049126,0.012454204,0.001510504,0.0012186319,0.066205986,0.048075408,0.00011696617],"about_ca_topic_score_codex":0.0018962945,"about_ca_topic_score_gemma":0.004063218,"teacher_disagreement_score":0.022781348,"about_ca_system_score_codex":0.001142566,"about_ca_system_score_gemma":0.0014414177,"threshold_uncertainty_score":0.076211154},"labels":[],"label_agreement":null},{"id":"W2912945051","doi":"10.2139/ssrn.1572075","title":"Learning Complementarities Through Hedging-Motivated Trades","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Financial economics; Economics; Business","score_opus":0.02095993559598577,"score_gpt":0.22185283628054767,"score_spread":0.2008929006845619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912945051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8576657,0.00020876294,0.13442561,0.0005587793,0.000059490398,0.000028317352,0.000078588455,0.00014962218,0.0068250685],"genre_scores_gemma":[0.99348396,0.000098417055,0.0045128386,0.00004239963,0.0000236788,0.000009443663,0.00004182641,0.000011288495,0.0017761735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995364,0.00012302985,0.00003090203,0.00015804684,0.000076419106,0.00007528795],"domain_scores_gemma":[0.9897948,0.007390144,0.0011598642,0.00085457676,0.0003331461,0.00046753514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017273788,0.0005310974,0.0010922727,0.0007245291,0.0005041504,0.002314147,0.00092375866,0.0018525841,0.0065949555],"category_scores_gemma":[0.013115746,0.0007136246,0.0006962038,0.00078682724,0.0013191315,0.004242675,0.0019214053,0.0017547664,0.000301597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010725623,0.0006325825,0.023201562,0.00019585152,0.00037244536,0.0010462657,0.000548529,0.35585654,0.011795737,0.4923029,0.0019825827,0.110992454],"study_design_scores_gemma":[0.000057138273,0.00012372519,0.004038754,0.000016640242,0.000035580557,0.00008607387,0.000079191515,0.5970842,0.0006835739,0.3974329,0.00033423517,0.000027986609],"about_ca_topic_score_codex":0.0007566311,"about_ca_topic_score_gemma":0.0010327032,"teacher_disagreement_score":0.0065949555,"about_ca_system_score_codex":0.00046915803,"about_ca_system_score_gemma":0.00050228956,"threshold_uncertainty_score":0.022062302},"labels":[],"label_agreement":null},{"id":"W2912964093","doi":"","title":"Fourth-quarter Economic Growth and Time-varying Expected Returns","year":2012,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Econometrics; Geography","score_opus":0.020370111063488964,"score_gpt":0.19941417529084968,"score_spread":0.17904406422736072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912964093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967243,0.00013485998,0.00071643986,0.0002650858,0.000013115811,0.000004492208,0.00068711286,0.00003161774,0.0014229362],"genre_scores_gemma":[0.99826705,0.000060300732,0.00014775252,0.000018619043,0.000014354787,0.000004031799,0.00085240655,0.000005169838,0.0006302704],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997315,0.000053991564,0.000021089108,0.00004839694,0.000040244646,0.00010475176],"domain_scores_gemma":[0.9888996,0.0036808057,0.005030969,0.0008327451,0.0006154541,0.0009402929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013900693,0.00037253628,0.00034606436,0.0007822318,0.00017782005,0.0011877228,0.00034980092,0.00052002363,0.003213164],"category_scores_gemma":[0.008367584,0.00013661441,0.00041031407,0.0007209487,0.00035765395,0.0007042348,0.00084244966,0.0008351428,0.0005131691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032773567,0.00007859283,0.9794535,0.000014865782,0.000080798156,0.00020293369,0.000119487115,0.008482248,0.0006347732,0.0014773847,0.0011767717,0.00795097],"study_design_scores_gemma":[0.000009912056,0.00009276987,0.97628593,0.000009768888,0.000029533012,0.00013459618,0.0001560216,0.019180052,0.0008908664,0.0021521614,0.0010422771,0.000015967336],"about_ca_topic_score_codex":0.0061512105,"about_ca_topic_score_gemma":0.003553794,"teacher_disagreement_score":0.0061512105,"about_ca_system_score_codex":0.00045506534,"about_ca_system_score_gemma":0.00029117567,"threshold_uncertainty_score":0.0122308135},"labels":[],"label_agreement":null},{"id":"W2913309643","doi":"10.3390/jrfm12010027","title":"Contribution to the Valuation of BRVM’s Assets: A Conditional CAPM Approach","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Capital asset pricing model; Econometrics; Portfolio; Economics; Systematic risk; Volatility (finance); Financial economics; Market portfolio; Random walk; Mathematics; Statistics","score_opus":0.017415771634536777,"score_gpt":0.20624017925182803,"score_spread":0.18882440761729125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913309643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15862122,0.002318003,0.82028294,0.0013713676,0.00013232704,0.00004324755,0.0003189816,0.00024497716,0.016666919],"genre_scores_gemma":[0.97238094,0.0007009385,0.024866791,0.0000658816,0.00015047203,0.000022303286,0.00015256523,0.000038147853,0.0016219256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990476,0.0004018767,0.000044839468,0.000174808,0.00023132603,0.000099615136],"domain_scores_gemma":[0.9955711,0.0029056026,0.00059098605,0.0003664525,0.00041281205,0.0001530553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020904278,0.00051491044,0.00077320915,0.0019308516,0.00033192543,0.0024173546,0.0013182454,0.00084828446,0.0026525676],"category_scores_gemma":[0.011443929,0.0003545107,0.00096184365,0.0013533959,0.0007533611,0.0029253697,0.0012044831,0.0013456187,0.00023636602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008747729,0.00010066088,0.018734228,0.00014952668,0.00018696202,0.00046296054,0.00029299897,0.44589096,0.0015126423,0.4424808,0.0018253275,0.08827554],"study_design_scores_gemma":[0.0000039485863,0.00002124802,0.0031819248,0.000025091262,0.000020363444,0.00011538007,0.000027166941,0.9193265,0.00021488186,0.07608627,0.00095624896,0.000020950425],"about_ca_topic_score_codex":0.006562956,"about_ca_topic_score_gemma":0.003156208,"teacher_disagreement_score":0.006562956,"about_ca_system_score_codex":0.0012150528,"about_ca_system_score_gemma":0.001012546,"threshold_uncertainty_score":0.013049483},"labels":[],"label_agreement":null},{"id":"W2913403897","doi":"10.2139/ssrn.1928873","title":"Firm-Specific Shocks for Corporate Bonds of Publicly Traded Canadian Companies","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Bond; Corporate bond; Accounting; Financial system; Monetary economics; Finance; Industrial organization; Economics","score_opus":0.07511644768513019,"score_gpt":0.202089284332914,"score_spread":0.1269728366477838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913403897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943093,0.0003176432,0.000071395494,0.0005089301,0.000015835969,0.000012940086,0.0035677992,0.000019348863,0.0011767317],"genre_scores_gemma":[0.9938624,0.0003174444,0.000030972653,0.000045552042,0.000011941318,0.0000045057523,0.0038348206,0.000004943649,0.0018873344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994142,0.00002852048,0.000033506327,0.00008320249,0.00015551374,0.0002850948],"domain_scores_gemma":[0.995729,0.00054485287,0.0014596309,0.00012715154,0.0012422971,0.00089699565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007798292,0.00036777445,0.00050926814,0.0012316158,0.0011798386,0.0030325872,0.0010726413,0.0022451219,0.0032583694],"category_scores_gemma":[0.0066762352,0.00034461264,0.0005496934,0.0028266744,0.00052655186,0.00089191674,0.00083836116,0.0020223188,0.00047559178],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007577205,0.00020405851,0.96171355,0.00006291379,0.00022316023,0.0005058265,0.0010425703,0.014167819,0.0015499442,0.0033184143,0.008143005,0.008310971],"study_design_scores_gemma":[0.000016738884,0.00003542149,0.9900799,0.000016007369,0.000043218082,0.000041082436,0.0010030314,0.0064051193,0.0002246192,0.00030183303,0.0017958794,0.00003725724],"about_ca_topic_score_codex":0.9582068,"about_ca_topic_score_gemma":0.9704775,"teacher_disagreement_score":0.041793227,"about_ca_system_score_codex":0.017082322,"about_ca_system_score_gemma":0.0077256397,"threshold_uncertainty_score":0.12394148},"labels":[],"label_agreement":null},{"id":"W2913440313","doi":"10.3390/jrfm13100244","title":"The Unusual Trading Volume and Earnings Surprises in China’s Market","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; China; Financial economics; Economics; Divergence (linguistics); Post-earnings-announcement drift; Volume (thermodynamics); Monetary economics; Business; Earnings response coefficient; Accounting; Law; Political science","score_opus":0.012006141978307646,"score_gpt":0.18396181813505166,"score_spread":0.171955676156744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913440313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99908376,0.00009231662,0.00010037823,0.00007206004,0.0000056137465,0.0000021271949,0.000047557973,0.000004158404,0.0005921012],"genre_scores_gemma":[0.9998022,0.000035436507,0.000019743862,0.0000070882,0.000015612113,7.8158223e-7,0.00004923824,6.9914466e-7,0.00006921325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963546,0.000041351996,0.00004256118,0.00005961244,0.00013936122,0.00008175609],"domain_scores_gemma":[0.9917042,0.0021121406,0.004756225,0.00027174907,0.0004476865,0.00070797454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072687847,0.00023136854,0.00031165255,0.001463595,0.0003895099,0.0010831449,0.00026853813,0.00044586312,0.0015494714],"category_scores_gemma":[0.0045932448,0.0001495686,0.0003135967,0.0011451456,0.0005573542,0.0010617949,0.00061104464,0.00048708412,0.00015307951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105094776,0.000049054648,0.9920121,0.000017521608,0.00006145554,0.00064698776,0.00026486718,0.0010415006,0.0009416279,0.0006275121,0.00025071192,0.0039815633],"study_design_scores_gemma":[0.0000064335377,0.00005806292,0.99324256,0.000005140767,0.000020877429,0.00017875872,0.00019022926,0.0053268624,0.00022741963,0.00049985247,0.00023211152,0.00001173725],"about_ca_topic_score_codex":0.004787241,"about_ca_topic_score_gemma":0.005074273,"teacher_disagreement_score":0.004787241,"about_ca_system_score_codex":0.0005146703,"about_ca_system_score_gemma":0.00035301514,"threshold_uncertainty_score":0.009518743},"labels":[],"label_agreement":null},{"id":"W2913757697","doi":"10.5430/afr.v8n1p193","title":"Strong March Phenomenon and Weak January Effect in the U.S. Bond Market","year":2019,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bond; Bond market; Equity (law); Treasury; Economics; Phenomenon; Monetary economics; Financial economics; Finance; Geography; Political science; Physics","score_opus":0.032789304660341856,"score_gpt":0.2744973222568755,"score_spread":0.24170801759653365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913757697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99018854,0.00093318935,0.00021584472,0.0011904957,0.000062824576,0.000011158002,0.00022034507,0.000019058614,0.007158666],"genre_scores_gemma":[0.9988445,0.00015767197,0.0000480065,0.00011517148,0.00008407311,0.0000024556841,0.00012564438,0.0000071162967,0.00061536575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922943,0.00020884258,0.00007833561,0.00016746073,0.00018410863,0.00013174013],"domain_scores_gemma":[0.9861239,0.0046147294,0.0055763517,0.00086583296,0.0010238729,0.0017952843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001908621,0.0002204186,0.00042924492,0.0009552972,0.00061302213,0.0019749892,0.00027819723,0.00042771501,0.006339937],"category_scores_gemma":[0.010650231,0.00017028238,0.00040187335,0.0012233432,0.0008657628,0.0010580961,0.0009998413,0.0009482048,0.000653804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050936226,0.0001778937,0.9798101,0.00003997563,0.00014456215,0.00017230805,0.00037591113,0.00017873716,0.000866328,0.002282147,0.0020671003,0.013375624],"study_design_scores_gemma":[0.000010197883,0.000056883506,0.9976792,0.0000088306,0.000044579323,0.0000371279,0.00025825086,0.00023487161,0.00013176698,0.00054725,0.0009862819,0.0000048465376],"about_ca_topic_score_codex":0.006207357,"about_ca_topic_score_gemma":0.0060562356,"teacher_disagreement_score":0.006339937,"about_ca_system_score_codex":0.00041925604,"about_ca_system_score_gemma":0.00049355114,"threshold_uncertainty_score":0.02120918},"labels":[],"label_agreement":null},{"id":"W2914126886","doi":"10.5539/ijef.v11n3p32","title":"Do Company Related Newspaper Articles Have an Impact on the Share Prices? The Case of the German Market","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Newspaper; German; Stock market; Stock (firearms); Financial economics; Economics; Java; Context (archaeology); Business; Advertising; Computer science; History","score_opus":0.028519291610576973,"score_gpt":0.2502479884366743,"score_spread":0.2217286968260973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914126886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983167,0.0013918742,0.00015570244,0.0018983488,0.000031954845,0.000009435975,0.00055023265,0.0000089232435,0.01278651],"genre_scores_gemma":[0.9984975,0.00044166067,0.000055396576,0.000095303905,0.00005597554,0.0000023559546,0.0001741616,0.0000063371667,0.0006713731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990096,0.0003713059,0.0000503546,0.0001414853,0.00024757834,0.00017963572],"domain_scores_gemma":[0.976715,0.017729785,0.0034886738,0.0004969623,0.0009805635,0.00058886537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014200866,0.00024569675,0.00031764654,0.0020593235,0.00048466725,0.0031599398,0.0002503075,0.000968558,0.004696332],"category_scores_gemma":[0.012745224,0.00016971034,0.000401526,0.0028226357,0.0010035033,0.0022121998,0.0005942372,0.0007556861,0.00065079326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00216453,0.00069091585,0.87326264,0.00071000715,0.00085501664,0.010672018,0.009332668,0.006413842,0.007278232,0.012921932,0.009253101,0.06644512],"study_design_scores_gemma":[0.000040405663,0.00014296485,0.9801294,0.00007026646,0.00035040008,0.00043456923,0.0041548405,0.005310351,0.0011764137,0.0020441883,0.00610284,0.00004347066],"about_ca_topic_score_codex":0.02281261,"about_ca_topic_score_gemma":0.015698439,"teacher_disagreement_score":0.02281261,"about_ca_system_score_codex":0.0012558689,"about_ca_system_score_gemma":0.0003424578,"threshold_uncertainty_score":0.04535967},"labels":[],"label_agreement":null},{"id":"W2914280887","doi":"","title":"The Value of a Millisecond: Structural Segmentation of Uninformed Order Flow","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Adverse selection; Business; Order (exchange); Monetary economics; Shock (circulatory); Quality (philosophy); Economics; Microeconomics; Actuarial science; Finance","score_opus":0.008577207332119554,"score_gpt":0.20407709941331126,"score_spread":0.1954998920811917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914280887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96152294,0.00017468573,0.026393697,0.00043230434,0.000025187475,0.000037252947,0.0001922634,0.00016396033,0.011057675],"genre_scores_gemma":[0.9935948,0.000052196177,0.004764131,0.00009103296,0.000011457135,0.0000132014775,0.000111849724,0.000027519725,0.0013338316],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988624,0.00027682554,0.000050364757,0.00017370399,0.00036702395,0.00026980444],"domain_scores_gemma":[0.9904497,0.0037522414,0.0023612787,0.0019284587,0.0007665654,0.00074180926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015875129,0.00025712998,0.0003902343,0.00055591133,0.000820315,0.002258651,0.0007961892,0.0006726585,0.0071788323],"category_scores_gemma":[0.010425341,0.00023672935,0.00031550185,0.0006500612,0.0015323414,0.0018538391,0.0011176857,0.0011045261,0.00060440396],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050507295,0.001177137,0.2504823,0.00030219703,0.00031574382,0.0011041213,0.0034740383,0.17969176,0.061750162,0.21880057,0.004975682,0.27287555],"study_design_scores_gemma":[0.00028257247,0.0021422394,0.30447158,0.00017281299,0.0003168581,0.0011465028,0.003751316,0.40503266,0.05213403,0.20972462,0.020612335,0.00021244667],"about_ca_topic_score_codex":0.006341583,"about_ca_topic_score_gemma":0.009673317,"teacher_disagreement_score":0.0071788323,"about_ca_system_score_codex":0.0019306402,"about_ca_system_score_gemma":0.0015800844,"threshold_uncertainty_score":0.024015605},"labels":[],"label_agreement":null},{"id":"W2914342428","doi":"10.2139/ssrn.1351885","title":"Skewness from High-Frequency Data Predicts the Cross-Section of Stock Returns","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Skewness; Econometrics; Stock (firearms); Cross section (physics); Statistics; Economics; Financial economics; Geography; Mathematics; Physics","score_opus":0.03093436065384283,"score_gpt":0.243665461264825,"score_spread":0.21273110061098216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914342428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948519,0.0001877945,0.0036959928,0.00012197851,0.00002634506,0.000009995682,0.0003411269,0.00007192417,0.0006929759],"genre_scores_gemma":[0.9989636,0.00008212517,0.0003154256,0.00002319201,0.000034542943,0.0000027873427,0.00041655323,0.000011694528,0.00015007805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994824,0.00014143648,0.00007024165,0.00009402008,0.00010823533,0.00010368973],"domain_scores_gemma":[0.9773266,0.013426703,0.00428106,0.00242173,0.0013799523,0.0011640884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037233445,0.00046961528,0.0005420754,0.0021945105,0.00028893846,0.001753924,0.00032696122,0.0011790359,0.002600552],"category_scores_gemma":[0.022463402,0.00044747812,0.00063451147,0.0012357903,0.00049699884,0.0019946233,0.0008914554,0.0009894369,0.0014812717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029585327,0.00011238763,0.9712946,0.000028316921,0.00015208234,0.0002783916,0.0001299205,0.008777282,0.00395585,0.0007690598,0.00087378075,0.013332616],"study_design_scores_gemma":[0.00003142317,0.00016750883,0.89505714,0.000024770474,0.000068465,0.000890868,0.00018999819,0.09576937,0.0014072926,0.0059919492,0.00036096192,0.000040212468],"about_ca_topic_score_codex":0.0012294656,"about_ca_topic_score_gemma":0.0013624539,"teacher_disagreement_score":0.0037233445,"about_ca_system_score_codex":0.00030100238,"about_ca_system_score_gemma":0.00025774507,"threshold_uncertainty_score":0.01969111},"labels":[],"label_agreement":null},{"id":"W2914741722","doi":"10.2139/ssrn.1108641","title":"Trends in Earnings Volatility, Earnings Quality and Idiosyncratic Return Volatility: Managerial Opportunism or Economic Activity","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Earnings; Opportunism; Volatility (finance); Earnings quality; Economics; Volatility swap; Business; Monetary economics; Implied volatility; Financial economics; Finance","score_opus":0.05162875122275082,"score_gpt":0.2638066246957644,"score_spread":0.21217787347301356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914741722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741024,0.0002979412,0.00028207243,0.00017327174,0.000009110638,0.000004356321,0.00067829114,0.000007509223,0.0011371542],"genre_scores_gemma":[0.9990307,0.00008411604,0.00006115052,0.000015169036,0.000022907096,0.000002054259,0.0003627019,0.0000024313479,0.00041887947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995359,0.00007038517,0.00008707885,0.0001081162,0.00009534581,0.00010315831],"domain_scores_gemma":[0.9864833,0.0041525993,0.0071353894,0.00078337925,0.0006668716,0.000778455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015097405,0.00016395579,0.00039929076,0.00095409836,0.00020000488,0.001455559,0.00031148025,0.0007459078,0.003928846],"category_scores_gemma":[0.009133807,0.00016404712,0.00039946876,0.0017933412,0.00034910312,0.0013737353,0.00063316885,0.0008096239,0.0005830359],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028700984,0.000039699076,0.9941506,0.00001567102,0.000093482755,0.000050025934,0.00013516305,0.0002694013,0.00036857644,0.0004345773,0.00024589626,0.0039097844],"study_design_scores_gemma":[0.0000033113513,0.00005611531,0.9982053,0.0000045166726,0.00002316751,0.000050769064,0.00012324401,0.00071590947,0.00012597645,0.00043064143,0.00025640734,0.0000045754514],"about_ca_topic_score_codex":0.0019699961,"about_ca_topic_score_gemma":0.0033252223,"teacher_disagreement_score":0.003928846,"about_ca_system_score_codex":0.0002192298,"about_ca_system_score_gemma":0.0002124672,"threshold_uncertainty_score":0.013143301},"labels":[],"label_agreement":null},{"id":"W2915313076","doi":"10.5267/j.msl.2019.2.008","title":"Market volatility of banking stock return vis-à-vis banks merger: An application of GARCH model","year":2019,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Autoregressive conditional heteroskedasticity; Volatility (finance); Business; Stock market; Financial economics; Monetary economics; Stock (firearms); Financial system; Econometrics; Economics","score_opus":0.02142982578193255,"score_gpt":0.2278605420421946,"score_spread":0.20643071626026205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915313076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93390816,0.001074552,0.060110666,0.0009282624,0.00009302191,0.00003748084,0.00021994412,0.00020020717,0.0034276883],"genre_scores_gemma":[0.99753404,0.0003136987,0.0014299612,0.000021058091,0.000045912533,0.000008911753,0.00010193838,0.000008432322,0.00053606974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916923,0.00034965776,0.00004154722,0.00015853,0.00016538808,0.00011554496],"domain_scores_gemma":[0.9975617,0.0017056926,0.00036117554,0.00014078905,0.0001684555,0.00006220307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021674342,0.00039244056,0.0006348904,0.00069705886,0.00023630676,0.0011925589,0.0006413883,0.0008294184,0.0008201067],"category_scores_gemma":[0.0059170737,0.00027544188,0.0007652649,0.0008574304,0.0002819327,0.00097526354,0.00038875037,0.00095670443,0.00013540788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041564307,0.0003211093,0.26176217,0.00023647353,0.0010458402,0.0023750595,0.00071556173,0.61748296,0.0084639415,0.042510822,0.002473958,0.06219648],"study_design_scores_gemma":[0.00001291354,0.00010917086,0.034002062,0.000011663319,0.000090913614,0.00015024816,0.00007035867,0.95986766,0.0006294355,0.0046289223,0.00040096752,0.000025608806],"about_ca_topic_score_codex":0.005607159,"about_ca_topic_score_gemma":0.0032052,"teacher_disagreement_score":0.005607159,"about_ca_system_score_codex":0.0004960953,"about_ca_system_score_gemma":0.00048640626,"threshold_uncertainty_score":0.011462629},"labels":[],"label_agreement":null},{"id":"W2916000625","doi":"10.5430/afr.v8n1p212","title":"Performance Evaluation of SRI Funds: An Analysis of Fund Types","year":2019,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control (management); Sample (material); Business; Fund of funds; Global assets under management; Passive management; Expense ratio; Institutional investor; Closed-end fund; Actuarial science; Economics; Finance; Management; Market liquidity","score_opus":0.14788130712607966,"score_gpt":0.34627713243958064,"score_spread":0.19839582531350097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916000625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996238,0.00015195245,0.0002162287,0.00004163275,0.000003285555,0.000011478743,0.00018224906,0.000010103819,0.0031449765],"genre_scores_gemma":[0.99930346,0.000039700815,0.00013584393,0.0000043835616,0.000007922963,0.000004506969,0.00017634436,0.0000035789494,0.0003241858],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945379,0.0013011515,0.00077820255,0.00036047518,0.0024133502,0.00060887623],"domain_scores_gemma":[0.9614092,0.011751917,0.016613783,0.0017124469,0.0067613972,0.001751219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005316967,0.0003105744,0.00048482645,0.0058511416,0.00037236232,0.0019068506,0.00067866343,0.0004208419,0.0017612493],"category_scores_gemma":[0.0316444,0.000112585905,0.00062237465,0.0037151354,0.0006622769,0.0020681885,0.0013759579,0.00028752218,0.00050006696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045268625,0.00005048532,0.9738153,0.000038356982,0.00011640456,0.00016198622,0.00053464225,0.0014363206,0.00062445924,0.0010186617,0.0003050537,0.021445675],"study_design_scores_gemma":[0.000010800182,0.00043051416,0.9912608,0.000033675482,0.000060617604,0.0005239609,0.0015988924,0.003148134,0.0010003451,0.00085579924,0.0010524805,0.000023883069],"about_ca_topic_score_codex":0.0014285172,"about_ca_topic_score_gemma":0.0013389125,"teacher_disagreement_score":0.0058511416,"about_ca_system_score_codex":0.0012762625,"about_ca_system_score_gemma":0.00045223135,"threshold_uncertainty_score":0.028119147},"labels":[],"label_agreement":null},{"id":"W2917138761","doi":"10.1111/mafi.12181","title":"Trading co‐integrated assets with price impact","year":2018,"lang":"en","type":"preprint","venue":"Mathematical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Global Risk Institute in Financial Services","keywords":"Portfolio; Oracle; Task (project management); Asset (computer security); Value (mathematics); Computer science; Project portfolio management; Corporation; Econometrics; Business; Financial economics; Economics; Finance","score_opus":0.04522463172752141,"score_gpt":0.26610866729220334,"score_spread":0.22088403556468192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917138761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81504035,0.00017437291,0.18075605,0.00030818992,0.000038385646,0.000055461824,0.0000687542,0.00024172345,0.0033167382],"genre_scores_gemma":[0.99024767,0.000033421125,0.00907965,0.000014649731,0.000012477204,0.00000890932,0.00003466783,0.0000064251894,0.00056216057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999175,0.00017231557,0.00006865283,0.00014942653,0.00028769716,0.00014696992],"domain_scores_gemma":[0.99594826,0.0021097448,0.0009072099,0.00042878411,0.0002942163,0.00031179393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018738294,0.0007858127,0.0011518735,0.00060705154,0.00032241252,0.0019230327,0.00080010376,0.0007835485,0.0016692168],"category_scores_gemma":[0.006435995,0.00036806805,0.00049564743,0.00069432036,0.0011095004,0.0019333389,0.0010982094,0.0011184099,0.00015865089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034976145,0.00017916018,0.010126196,0.000037808513,0.00011846939,0.000361093,0.000038415998,0.9360751,0.0057986737,0.019125555,0.000299059,0.027490584],"study_design_scores_gemma":[0.000014791553,0.00007705676,0.0011466275,0.000002976615,0.000012207647,0.000033131775,0.000008023765,0.9917223,0.001379073,0.0054981564,0.000098830424,0.0000068621207],"about_ca_topic_score_codex":0.004506972,"about_ca_topic_score_gemma":0.0028139958,"teacher_disagreement_score":0.004506972,"about_ca_system_score_codex":0.00092845206,"about_ca_system_score_gemma":0.0009910786,"threshold_uncertainty_score":0.009909928},"labels":[],"label_agreement":null},{"id":"W2917165027","doi":"10.34989/san-2017-23","title":"Do Liquidity Proxies Measure Liquidity in Canadian Bond Markets?","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Bond; Accounting liquidity; Liquidity crisis; Liquidity premium; Government bond; Benchmark (surveying); Measure (data warehouse); Economics; Monetary economics; Liquidity risk; Financial economics; Business; Finance; Geography; Computer science","score_opus":0.04169392525973872,"score_gpt":0.24311714413864186,"score_spread":0.20142321887890313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917165027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93552995,0.009281688,0.0069291927,0.005597401,0.000090104084,0.00007770859,0.0063931583,0.00017102028,0.03592981],"genre_scores_gemma":[0.9957104,0.000951806,0.0013035181,0.00012024069,0.000028573533,0.000009121855,0.0007802282,0.00001432656,0.0010817681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839526,0.00027016274,0.00010510415,0.00016310737,0.0007637726,0.00030264407],"domain_scores_gemma":[0.9861428,0.0030775312,0.003957601,0.00064931536,0.0056826,0.00049016863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037239813,0.00043209095,0.0003494724,0.004600545,0.0013104678,0.004359318,0.0009099538,0.0005392614,0.0032187828],"category_scores_gemma":[0.03280863,0.00018150047,0.00033561865,0.006490489,0.0011058615,0.0027515995,0.00092676264,0.0005858632,0.0002962332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004078089,0.000051107756,0.8353373,0.0002464543,0.00024474825,0.00018762615,0.0021372845,0.009747694,0.0013438566,0.033877816,0.01034948,0.106068894],"study_design_scores_gemma":[0.000069341484,0.00007553056,0.9097902,0.00033315603,0.00020847139,0.00018471744,0.0030114076,0.036628693,0.0041552526,0.014111962,0.031228088,0.00020307528],"about_ca_topic_score_codex":0.8871312,"about_ca_topic_score_gemma":0.90196586,"teacher_disagreement_score":0.112868786,"about_ca_system_score_codex":0.013407418,"about_ca_system_score_gemma":0.008905751,"threshold_uncertainty_score":0.22706693},"labels":[],"label_agreement":null},{"id":"W2917411133","doi":"10.1111/irfi.12252","title":"Market Volatility Risk and Stock Returns around the World: Implication for Multinational Corporations*","year":2019,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tyndale University","funders":"","keywords":"Volatility (finance); Volatility risk premium; Market risk; Volatility risk; Financial economics; Volatility swap; Factor market; Economics; Market microstructure; Business; Market depth; Stock market; Security market line; Volatility smile; Implied volatility; Monetary economics; Econometrics; Finance; Order (exchange); Market economy","score_opus":0.02596089768291421,"score_gpt":0.2732769409423266,"score_spread":0.24731604325941237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917411133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98582816,0.005030682,0.0011343688,0.002486788,0.000037349357,0.000005997427,0.00020123858,0.000011806868,0.0052635814],"genre_scores_gemma":[0.9982128,0.0011587727,0.00011702419,0.00005454111,0.000045696448,0.0000016334293,0.00006500878,0.0000025081924,0.00034198223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998504,0.000049530452,0.0000103379725,0.000029536184,0.000036581874,0.000023530361],"domain_scores_gemma":[0.9954587,0.0014143996,0.0022513214,0.0001454481,0.00044375221,0.00028633972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007311768,0.00014849572,0.00023319523,0.00078762876,0.00022758522,0.0016910463,0.00016422335,0.0003320286,0.0017801939],"category_scores_gemma":[0.004890151,0.00006675668,0.0002580593,0.0015421,0.00030932884,0.0009905834,0.00051351846,0.0004954788,0.00012044158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010267024,0.000067331246,0.9561117,0.000047385285,0.00027255324,0.00027735377,0.00028893913,0.004663544,0.00045825215,0.009594226,0.0012285247,0.026887422],"study_design_scores_gemma":[0.000011812229,0.00007529883,0.96738386,0.00010224012,0.00018370342,0.00023335846,0.0008519409,0.011907412,0.0004157863,0.015122458,0.0036819153,0.000030283603],"about_ca_topic_score_codex":0.0052003735,"about_ca_topic_score_gemma":0.004664421,"teacher_disagreement_score":0.0052003735,"about_ca_system_score_codex":0.00032281142,"about_ca_system_score_gemma":0.00021293324,"threshold_uncertainty_score":0.010340214},"labels":[],"label_agreement":null},{"id":"W2917620665","doi":"10.1111/ecin.12762","title":"YOUNG “STARS” IN ECONOMICS: WHAT THEY DO AND WHERE THEY GO","year":2019,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stars; Economics; Construct (python library); Private sector; Set (abstract data type); Labour economics; Physics; Economic growth; Astronomy","score_opus":0.023019243307850056,"score_gpt":0.21504707287852548,"score_spread":0.19202782957067543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917620665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978576,0.0014417842,0.0007658302,0.0022298042,0.0000513896,0.00004510083,0.010970792,0.000029581854,0.0058896816],"genre_scores_gemma":[0.97026247,0.001578542,0.0008780569,0.00072553405,0.00013491354,0.00010192834,0.018971154,0.000030001795,0.0073174313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910057,0.00016346341,0.000085315725,0.00013977275,0.00022451991,0.0002864834],"domain_scores_gemma":[0.9791405,0.003833091,0.010964796,0.00039440583,0.00126936,0.004397861],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0015184771,0.00020170376,0.0003454532,0.0028619925,0.00064714934,0.0017674287,0.00049719284,0.00073238055,0.0045588394],"category_scores_gemma":[0.009426997,0.00019166617,0.00021656738,0.0037693887,0.0005888798,0.0014861751,0.0014833495,0.0014877574,0.002479841],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013735311,0.00014915327,0.9635702,0.00008238063,0.000030773943,0.00010023614,0.0009606687,0.00027167972,0.00014942393,0.0017361894,0.012103304,0.020708682],"study_design_scores_gemma":[0.000014332682,0.000054073647,0.9769108,0.00007853651,0.00000946063,0.000079498655,0.0028238453,0.0003437404,0.0001531024,0.00096115033,0.018554792,0.000016672566],"about_ca_topic_score_codex":0.015370882,"about_ca_topic_score_gemma":0.026963633,"teacher_disagreement_score":0.9984815,"about_ca_system_score_codex":0.0008986391,"about_ca_system_score_gemma":0.000978542,"threshold_uncertainty_score":0.030562818},"labels":[],"label_agreement":null},{"id":"W2918452851","doi":"10.1002/ijfe.1828","title":"Cross‐shareholding networks and stock price synchronicity: Evidence from China","year":2020,"lang":"en","type":"preprint","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Synchronicity; Stock price; Business; Stock (firearms); Monetary economics; Centrality; China; Stock market; Economics; Econometrics","score_opus":0.05494053534115835,"score_gpt":0.2677671489632252,"score_spread":0.21282661362206684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918452851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993747,0.00007836449,0.000072821305,0.000039616767,0.0000016646482,0.0000022185861,0.000091784226,0.0000012887139,0.000337556],"genre_scores_gemma":[0.99970347,0.00006266139,0.00001708419,0.000005143634,0.0000049638047,8.807159e-7,0.00012302729,4.684089e-7,0.000082286846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962234,0.000067555426,0.000036569694,0.00009538452,0.00010491387,0.000073300944],"domain_scores_gemma":[0.9955264,0.0010673874,0.0021716014,0.00028403156,0.00051895884,0.00043155355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086139544,0.00022632192,0.00027474842,0.0015995442,0.00047911424,0.00068253995,0.0004059004,0.00024155593,0.0020117653],"category_scores_gemma":[0.0028927978,0.00016815578,0.0003030202,0.0024844608,0.0006393133,0.0006325856,0.000764653,0.00024768987,0.00011775223],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006827344,0.00004256886,0.9917344,0.000026264937,0.00011626059,0.0003238445,0.0010428025,0.00053138915,0.0005824311,0.00047266806,0.00017535398,0.004883853],"study_design_scores_gemma":[0.000004754296,0.000025351881,0.99768925,0.0000045512966,0.000038013313,0.000036609523,0.0005260529,0.0011726073,0.00014808543,0.00011499331,0.00023429345,0.000005444603],"about_ca_topic_score_codex":0.0462554,"about_ca_topic_score_gemma":0.05027785,"teacher_disagreement_score":0.0462554,"about_ca_system_score_codex":0.00066284527,"about_ca_system_score_gemma":0.00050153123,"threshold_uncertainty_score":0.09197235},"labels":[],"label_agreement":null},{"id":"W2918879210","doi":"10.2139/ssrn.3302214","title":"Does Sub-Advising Abroad Improve the Performance of International Mutual Funds?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Fredericton; University of New Brunswick","funders":"","keywords":"Business; Accounting; Mutual fund; Actuarial science; Financial system; Finance","score_opus":0.008590754758023785,"score_gpt":0.21410006454060052,"score_spread":0.20550930978257673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918879210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818396,0.0008361169,0.0003988729,0.0039676786,0.00014320188,0.000010482405,0.00012707037,0.00006727348,0.012609677],"genre_scores_gemma":[0.9981475,0.00016644794,0.00015537484,0.000110247485,0.000058092188,0.0000021474982,0.00005885919,0.000004733907,0.001296699],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994276,0.00027706224,0.0000382377,0.000048303256,0.000069163776,0.00013955488],"domain_scores_gemma":[0.9918058,0.0024186578,0.002185712,0.0005451749,0.0006712268,0.0023733824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002557002,0.0002902411,0.00043035645,0.00037076426,0.00038610518,0.0015524952,0.0004362406,0.0010106219,0.008568804],"category_scores_gemma":[0.013355928,0.00005638377,0.00022359665,0.0003722457,0.00041800993,0.0016030098,0.0008225125,0.00085527456,0.0010170038],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013283467,0.004279948,0.44109902,0.00035566627,0.00040967026,0.0006752756,0.0011557231,0.012799728,0.0025793954,0.010973036,0.020610673,0.49177837],"study_design_scores_gemma":[0.0016865219,0.0129170045,0.8127487,0.0006099472,0.0018012718,0.0014065291,0.010985617,0.049728267,0.014836321,0.047193307,0.045954786,0.00013179761],"about_ca_topic_score_codex":0.0022253299,"about_ca_topic_score_gemma":0.002876542,"teacher_disagreement_score":0.008568804,"about_ca_system_score_codex":0.00044267654,"about_ca_system_score_gemma":0.0010749548,"threshold_uncertainty_score":0.028665483},"labels":[],"label_agreement":null},{"id":"W2919953679","doi":"10.5539/ass.v15n3p27","title":"Factors influencing Individual Investor Behaviour: Evidence from the Kuwait Stock Exchange","year":2019,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Overconfidence effect; Optimism; Stock exchange; Pessimism; Psychology; Sample (material); Herd behavior; Social psychology; Economics; Finance; Herding","score_opus":0.08742710220305104,"score_gpt":0.26043615645399537,"score_spread":0.17300905425094432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919953679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991379,0.00012028993,0.00001582161,0.00008334139,0.000002014635,0.000002149662,0.00002621908,3.2654265e-7,0.0006119815],"genre_scores_gemma":[0.9994654,0.00022799402,0.000028918097,0.00003745629,0.000005709025,0.0000028383674,0.000052932475,6.3871954e-7,0.00017810173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993036,0.00028909458,0.00005266873,0.00006357486,0.00018516864,0.000106003834],"domain_scores_gemma":[0.99417096,0.0022115714,0.0025882842,0.00020820685,0.00039278707,0.00042824965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012538544,0.00017621003,0.00022844611,0.00097637874,0.0006470519,0.0010698462,0.00027796603,0.00038399658,0.0016906698],"category_scores_gemma":[0.0050059026,0.0001489549,0.00021403363,0.0013318596,0.0007809313,0.0005563428,0.0006099621,0.00049824326,0.0001677354],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008748303,0.00009762975,0.9866376,0.000039392526,0.00006743057,0.0001439154,0.0064089624,0.00004159319,0.0001342107,0.0001434305,0.00015190395,0.0060464265],"study_design_scores_gemma":[0.0000014689712,0.000019298575,0.9962696,0.000011864996,0.000012560302,0.000029534833,0.0033100103,0.000062907675,0.00002192033,0.000023649121,0.00023410044,0.0000030510096],"about_ca_topic_score_codex":0.030494953,"about_ca_topic_score_gemma":0.041730355,"teacher_disagreement_score":0.030494953,"about_ca_system_score_codex":0.00059756514,"about_ca_system_score_gemma":0.0005421832,"threshold_uncertainty_score":0.06063491},"labels":[],"label_agreement":null},{"id":"W2920041984","doi":"10.3390/jrfm12010038","title":"Asymmetric Mean Reversion in Low Liquid Markets: Evidence from BRVM","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mean reversion; Index (typography); Composite index; Heteroscedasticity; Autoregressive model; Econometrics; Economics; Stock market index; Stock (firearms); Mathematics; Statistics; Stock market; Composite indicator; Geography; Computer science","score_opus":0.012334445434044205,"score_gpt":0.1948253396661736,"score_spread":0.18249089423212939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920041984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99807847,0.00021297493,0.000480702,0.000087994966,0.000003828554,0.000003891405,0.00011349329,0.000013488494,0.0010051477],"genre_scores_gemma":[0.99947983,0.00006250517,0.00009700712,0.000011553509,0.000012143451,0.0000016498099,0.00016768218,0.0000036207502,0.0001640037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950767,0.00011880124,0.000049938564,0.00009006602,0.00013930474,0.000094211486],"domain_scores_gemma":[0.98454213,0.0043879356,0.008327776,0.0011012327,0.0009809977,0.0006599856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018820578,0.00017555867,0.00040596988,0.0013300641,0.00030714544,0.0011383507,0.00041305515,0.00045271465,0.0019279069],"category_scores_gemma":[0.012804892,0.00013597397,0.00025952669,0.0010344622,0.00069323403,0.0011839597,0.0006857223,0.00095915725,0.0002814147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062568084,0.00025360414,0.95401174,0.00008506982,0.00014752251,0.00080784346,0.0005375142,0.0028325687,0.003533314,0.006357133,0.0008606985,0.029947335],"study_design_scores_gemma":[0.000033524368,0.00026941483,0.9751169,0.00003115216,0.00006813166,0.00055945985,0.00045557285,0.014541979,0.0029994906,0.004297553,0.0015987002,0.000028192682],"about_ca_topic_score_codex":0.0032798063,"about_ca_topic_score_gemma":0.001986127,"teacher_disagreement_score":0.0032798063,"about_ca_system_score_codex":0.00030641537,"about_ca_system_score_gemma":0.000260738,"threshold_uncertainty_score":0.009953439},"labels":[],"label_agreement":null},{"id":"W2920377001","doi":"10.2139/ssrn.2908552","title":"Beating the Market: Dynamic Asset Allocation with a Market Portfolio Benchmark","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital market line; Portfolio; Asset allocation; Replicating portfolio; Financial economics; Benchmark (surveying); Black–Litterman model; Economics; Asset (computer security); Business; Portfolio optimization; Stock market; Computer science; Market depth; Context (archaeology); Computer security","score_opus":0.010420635787520683,"score_gpt":0.21433653701694796,"score_spread":0.2039159012294273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920377001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5327352,0.0017142709,0.40036863,0.0034917954,0.00061365205,0.00013110739,0.0004743482,0.0005512604,0.059919707],"genre_scores_gemma":[0.9761204,0.00023937527,0.01817582,0.00017219697,0.00015964347,0.000040769984,0.00016568646,0.00006781969,0.0048582484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899524,0.00047464977,0.00004474801,0.000164594,0.0001675047,0.00015320619],"domain_scores_gemma":[0.9963213,0.0017401014,0.0004868084,0.00048257597,0.00043428256,0.00053490716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032470669,0.0008348218,0.0016508295,0.000977954,0.00059648283,0.0037376743,0.0017165696,0.0024777858,0.0056016156],"category_scores_gemma":[0.0224101,0.0003550539,0.00046381316,0.0011714776,0.0012515248,0.004790852,0.0018324789,0.0018237298,0.00040004644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007083136,0.00027890058,0.0013929637,0.00008294537,0.000101693484,0.0002252676,0.00007797646,0.46752185,0.0020837295,0.4802562,0.005769733,0.041500386],"study_design_scores_gemma":[0.000049924598,0.000060912407,0.00029353736,0.000007818657,0.0000134993825,0.000023021154,0.000014197008,0.89712733,0.0002682647,0.101698995,0.00043200227,0.000010566865],"about_ca_topic_score_codex":0.0019445913,"about_ca_topic_score_gemma":0.00096290174,"teacher_disagreement_score":0.0056016156,"about_ca_system_score_codex":0.000988143,"about_ca_system_score_gemma":0.0010305429,"threshold_uncertainty_score":0.018739283},"labels":[],"label_agreement":null},{"id":"W2920436263","doi":"10.1016/j.irfa.2019.02.006","title":"Information or noise: What does algorithmic trading incorporate into the stock prices?","year":2019,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Australian Research Council","keywords":"Price discovery; Stock (firearms); Econometrics; Volatility (finance); Stock price; Economics; Financial economics; Order (exchange); Stock market; Computer science; Finance; Series (stratigraphy)","score_opus":0.015220763033766672,"score_gpt":0.24109591063627286,"score_spread":0.22587514760250618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920436263","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19832805,0.120516926,0.53461385,0.09027855,0.004223716,0.00009891506,0.0012066334,0.0008503672,0.049882963],"genre_scores_gemma":[0.9021319,0.04426467,0.039125923,0.0044962177,0.006284024,0.00004299307,0.00026956858,0.00020968111,0.0031749632],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983247,0.00053387636,0.00013965022,0.00027375168,0.00060122326,0.00012683893],"domain_scores_gemma":[0.97280914,0.021163411,0.0019210611,0.001909794,0.0017904679,0.0004062463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043088268,0.00085939304,0.0016594171,0.0017665614,0.0005072542,0.007865822,0.0017058484,0.0036305857,0.0026432942],"category_scores_gemma":[0.045394737,0.000830515,0.00087925553,0.0017231281,0.0050506494,0.019683218,0.0013398476,0.0030579302,0.00066430453],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035489394,0.00024550266,0.030084208,0.0015849944,0.0007097402,0.00032008014,0.00087214983,0.04676358,0.0031694642,0.57846576,0.008886498,0.32854313],"study_design_scores_gemma":[0.000028434073,0.00007874836,0.0052597807,0.00042572542,0.00013910474,0.00015989205,0.00024211113,0.0625383,0.00078100775,0.9217828,0.008487467,0.00007654669],"about_ca_topic_score_codex":0.0016184857,"about_ca_topic_score_gemma":0.0012659837,"teacher_disagreement_score":0.007865822,"about_ca_system_score_codex":0.00073984894,"about_ca_system_score_gemma":0.0010433025,"threshold_uncertainty_score":0.022787511},"labels":[],"label_agreement":null},{"id":"W2921006411","doi":"10.3390/jrfm12020085","title":"Optimism in Financial Markets: Stock Market Returns and Investor Sentiments","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predictability; Stock market; Stock (firearms); Economics; Financial economics; Spillover effect; Financial market; Stock market bubble; Monetary economics; Business; Finance; Macroeconomics","score_opus":0.010737782958943792,"score_gpt":0.19348614373714756,"score_spread":0.18274836077820378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921006411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863941,0.002222221,0.001490749,0.0010890827,0.000019809851,0.0000081599055,0.00015537167,0.000012894659,0.008607778],"genre_scores_gemma":[0.9991295,0.000390863,0.0001130511,0.00003782082,0.000031181757,0.000001409865,0.000043481705,0.0000014782869,0.00025133108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997937,0.00009256804,0.000014274929,0.000026305941,0.000047844787,0.00002530305],"domain_scores_gemma":[0.9961138,0.0016748571,0.0016658497,0.000103815284,0.00019309779,0.00024850253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009956786,0.00019711904,0.00021282017,0.0005190985,0.00013375349,0.001341257,0.00012441479,0.00047480717,0.0017522799],"category_scores_gemma":[0.0071360664,0.00008324521,0.00018534853,0.0005910506,0.00039078953,0.000982372,0.00033667777,0.00057704194,0.00024004043],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046615064,0.0002737451,0.9124233,0.00012419964,0.00033422542,0.00035804597,0.0006913443,0.0089516705,0.0027518643,0.018590227,0.0016563522,0.05337893],"study_design_scores_gemma":[0.000017193208,0.00013747031,0.96952426,0.000043052492,0.00006633369,0.00017916382,0.00032230825,0.012516811,0.00032754158,0.015634177,0.0012138032,0.000017878481],"about_ca_topic_score_codex":0.0009980971,"about_ca_topic_score_gemma":0.0009789099,"teacher_disagreement_score":0.0017522799,"about_ca_system_score_codex":0.00031681635,"about_ca_system_score_gemma":0.00012701469,"threshold_uncertainty_score":0.0058619976},"labels":[],"label_agreement":null},{"id":"W2923680860","doi":"10.3390/jrfm12010048","title":"Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review","year":2019,"lang":"en","type":"review","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Portfolio optimization; Econometrics; Covariance matrix; CVAR; Moment (physics); Quantile; Modern portfolio theory; Selection (genetic algorithm); Variance (accounting); Statistics; Computer science; Mathematics; Economics; Expected shortfall; Finance; Accounting; Artificial intelligence","score_opus":0.05088180770163813,"score_gpt":0.27415441305927873,"score_spread":0.2232726053576406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923680860","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040823006,0.98822093,0.009227866,0.00040006262,0.00015031666,0.0000121762005,0.000053869517,0.000022799044,0.0015037436],"genre_scores_gemma":[0.0058102,0.9861857,0.006749643,0.00016674298,0.0005011713,0.000021867227,0.00010629996,0.000013532851,0.00044487062],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987062,0.00036385635,0.00018246796,0.0002848654,0.00041873578,0.00004387077],"domain_scores_gemma":[0.9936372,0.004853521,0.0004711903,0.00019347231,0.00078050577,0.00006411146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030783461,0.0013615004,0.0020015247,0.0036890656,0.00025623012,0.0016933607,0.0014999777,0.0014284273,0.0039281542],"category_scores_gemma":[0.008646752,0.0006886419,0.0012435397,0.006929595,0.00070404797,0.0022247285,0.00087467016,0.0013614155,0.0015720184],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035684483,0.0000771655,0.0010887171,0.011951935,0.0002169028,0.000081622406,0.00006275258,0.003666326,0.00040061332,0.016437188,0.009536177,0.9564449],"study_design_scores_gemma":[0.00006992382,0.00050359947,0.012194601,0.022871377,0.0014361409,0.002503986,0.00027039903,0.020525632,0.0025554192,0.05559465,0.88116795,0.00030636103],"about_ca_topic_score_codex":0.0025791961,"about_ca_topic_score_gemma":0.0018424472,"teacher_disagreement_score":0.0039281542,"about_ca_system_score_codex":0.00076059083,"about_ca_system_score_gemma":0.0015590413,"threshold_uncertainty_score":0.016279995},"labels":[],"label_agreement":null},{"id":"W2923983516","doi":"10.26794/2587-5671-2019-23-1-38-48","title":"Can Stock Analysts Predict Market Risk? New Evidence from Copula Theory","year":2019,"lang":"en","type":"article","venue":"Finance Theory and Practice","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Copula (linguistics); Volatility (finance); Financial economics; Portfolio; Stock (firearms); Risk management; Economics; Econometrics; Market risk; Value at risk; Capital asset pricing model; Business; Actuarial science; Finance","score_opus":0.02909409653672438,"score_gpt":0.2485840536672476,"score_spread":0.21948995713052322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923983516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8864525,0.003407064,0.08975102,0.005707018,0.00012581197,0.000058224177,0.00049521594,0.00024866196,0.013754497],"genre_scores_gemma":[0.992546,0.000795644,0.0056792074,0.00015434799,0.00010827039,0.0000129198115,0.00020764841,0.000022919823,0.00047303463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998005,0.0010625818,0.00011438602,0.0003370313,0.0003596854,0.00012147125],"domain_scores_gemma":[0.90637004,0.075848,0.0095404675,0.0048914435,0.0025098382,0.00084011705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00974395,0.0009513497,0.0009882536,0.0017121156,0.00040700627,0.0030270189,0.0011776452,0.0012921755,0.0032575112],"category_scores_gemma":[0.08894167,0.00054159947,0.0009476353,0.0016637612,0.0011038423,0.0043350672,0.0009690218,0.0021196473,0.0005936111],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005044171,0.00057620695,0.5579198,0.0003106474,0.001457636,0.00060412,0.0013163264,0.23365784,0.0013504986,0.06885801,0.005655724,0.12778878],"study_design_scores_gemma":[0.00004785779,0.00018410227,0.08345909,0.00008128983,0.00016793986,0.00012747383,0.0003081227,0.851207,0.00054096093,0.06249947,0.0013222627,0.000054421726],"about_ca_topic_score_codex":0.007832361,"about_ca_topic_score_gemma":0.0034593476,"teacher_disagreement_score":0.00974395,"about_ca_system_score_codex":0.0007110121,"about_ca_system_score_gemma":0.00063727837,"threshold_uncertainty_score":0.051531494},"labels":[],"label_agreement":null},{"id":"W2924034855","doi":"10.3390/jrfm12010047","title":"Herding in Smart-Beta Investment Products","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Manchester","keywords":"Herding; Financial economics; Portfolio; Investment (military); Business; Economics; Risk analysis (engineering); Actuarial science; Geography; Political science","score_opus":0.014161476788548004,"score_gpt":0.1901268673055675,"score_spread":0.17596539051701948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924034855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86393255,0.0015979771,0.12509717,0.0007353327,0.00005796833,0.00004127898,0.00014448469,0.0001638099,0.008229432],"genre_scores_gemma":[0.9897831,0.0003089883,0.006911334,0.000049385304,0.000025115241,0.00000985995,0.0000473325,0.000015700973,0.0028490785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99968207,0.00007818291,0.000017529434,0.00010333725,0.000059610957,0.00005927061],"domain_scores_gemma":[0.9965508,0.0013661196,0.0012186139,0.00044461095,0.00020992574,0.00020995656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016155981,0.0002637634,0.0004939305,0.00059262494,0.00030796908,0.0014413388,0.00066764845,0.0008117077,0.003687189],"category_scores_gemma":[0.008945891,0.00023893686,0.0004218766,0.00034565153,0.00082932087,0.0027541285,0.0007023799,0.00056936307,0.00029796074],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005743902,0.00025114795,0.16883036,0.00041695026,0.0004165901,0.002591854,0.0017445082,0.21398956,0.01542594,0.36562544,0.0069378447,0.2231954],"study_design_scores_gemma":[0.00003863496,0.0005904301,0.06274014,0.00013828931,0.00016288544,0.0013738709,0.0004210095,0.70593977,0.0037676566,0.21787484,0.006873932,0.00007861601],"about_ca_topic_score_codex":0.0009175503,"about_ca_topic_score_gemma":0.0009473157,"teacher_disagreement_score":0.003687189,"about_ca_system_score_codex":0.0005049613,"about_ca_system_score_gemma":0.00014383296,"threshold_uncertainty_score":0.012334943},"labels":[],"label_agreement":null},{"id":"W2924475079","doi":"10.2139/ssrn.3347194","title":"Informed Trading of Options, Option Expiration Risk, and Stock Return Predictability","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Predictability; Expiration; Business; Stock options; Actuarial science; Valuation of options; Financial economics; Finance; Economics; Medicine; Internal medicine; Mathematics","score_opus":0.015420988200523232,"score_gpt":0.21121637330547588,"score_spread":0.19579538510495265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924475079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94533736,0.0012326494,0.047489874,0.0012488618,0.000056413784,0.000011656263,0.00012894107,0.000105923034,0.0043883305],"genre_scores_gemma":[0.9979874,0.00023487248,0.00094936125,0.000029581553,0.00003445207,0.0000027842152,0.00004551826,0.000008666269,0.0007073945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994537,0.00019944522,0.0000477925,0.000104237406,0.00012597711,0.000068860456],"domain_scores_gemma":[0.97677565,0.016283792,0.004934014,0.0009665146,0.00047491802,0.0005650167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024605177,0.00046849283,0.0007223357,0.0006992912,0.0002827071,0.0027384483,0.00068384246,0.0015981185,0.0023406334],"category_scores_gemma":[0.029538421,0.00047990616,0.00046035947,0.0006264658,0.0010921677,0.0039581303,0.0009300134,0.0015475567,0.00017466703],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018169999,0.000456251,0.13589442,0.00018729735,0.0006447032,0.0021992808,0.0006443891,0.48344222,0.0072605936,0.30169713,0.0020138302,0.06374295],"study_design_scores_gemma":[0.000044672408,0.00013982467,0.03131757,0.000023037266,0.00006339597,0.00036895287,0.000076448116,0.6677381,0.0006276728,0.29924,0.00030534223,0.000055007564],"about_ca_topic_score_codex":0.0011878421,"about_ca_topic_score_gemma":0.0011591153,"teacher_disagreement_score":0.0027384483,"about_ca_system_score_codex":0.0004336063,"about_ca_system_score_gemma":0.00042961517,"threshold_uncertainty_score":0.013012648},"labels":[],"label_agreement":null},{"id":"W2924782955","doi":"10.3390/jrfm12010045","title":"News Co-Occurrences, Stock Return Correlations, and Portfolio Construction Implications","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Econometrics; Stock (firearms); Shock (circulatory); Covariance matrix; Predictive power; Construct (python library); Benchmark (surveying); Financial economics; Economics; Business; Computer science; Statistics; Mathematics; History; Geography","score_opus":0.014696123991744197,"score_gpt":0.2162521091173717,"score_spread":0.2015559851256275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924782955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803232,0.0009562609,0.0133725675,0.00055330334,0.00005303072,0.000049203696,0.001652764,0.000152966,0.0028868155],"genre_scores_gemma":[0.99270815,0.0003151791,0.0041907937,0.000036569556,0.00007526735,0.00002117699,0.0021116168,0.0000160769,0.0005251715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991079,0.00025558064,0.00009992925,0.00020152738,0.00025275917,0.00008225194],"domain_scores_gemma":[0.9806723,0.011409988,0.004715586,0.0011269444,0.0013383053,0.0007368591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021835568,0.0006896881,0.00048963283,0.003966674,0.00046520174,0.0021597513,0.0003770839,0.0007007759,0.0022060848],"category_scores_gemma":[0.018846827,0.00031464818,0.0006356821,0.0036912062,0.000365547,0.002147976,0.000749913,0.0009646574,0.00046193908],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037172236,0.00027215455,0.90514123,0.00010223477,0.0004991539,0.00041320565,0.00018225248,0.017716661,0.0017448765,0.0021831475,0.0016920004,0.06968143],"study_design_scores_gemma":[0.000044627515,0.00019310488,0.83180773,0.00005674393,0.00030409836,0.0004337383,0.00049246644,0.15208752,0.003224956,0.008918756,0.0023856007,0.000050687217],"about_ca_topic_score_codex":0.004139242,"about_ca_topic_score_gemma":0.0046857772,"teacher_disagreement_score":0.004139242,"about_ca_system_score_codex":0.0005211172,"about_ca_system_score_gemma":0.00040007962,"threshold_uncertainty_score":0.0115478635},"labels":[],"label_agreement":null},{"id":"W2928594987","doi":"10.3390/jrfm12020051","title":"Statistical Arbitrage with Mean-Reverting Overnight Price Gaps on High-Frequency Data of the S&amp;P 500","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sharpe ratio; Mean reversion; Pairs trade; Statistical arbitrage; Econometrics; Trading strategy; Arbitrage; Economics; Algorithmic trading; Transaction cost; Volatility (finance); Technical analysis; Index arbitrage; High-frequency trading; Jump; Financial economics; Risk arbitrage; Capital asset pricing model; Arbitrage pricing theory; Finance; Alternative trading system; Portfolio","score_opus":0.019892214878756354,"score_gpt":0.21032823702808975,"score_spread":0.1904360221493334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2928594987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6272264,0.0004057848,0.3706588,0.0003171172,0.00003519803,0.000042580687,0.00008545234,0.00036731904,0.00086133846],"genre_scores_gemma":[0.97644025,0.000068905,0.022944888,0.000030925126,0.000034502427,0.000014420715,0.0001120169,0.000015700978,0.00033848506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989497,0.0005125024,0.00006718235,0.00017615588,0.00020948157,0.00008502678],"domain_scores_gemma":[0.99352646,0.004607724,0.000816322,0.0005543865,0.00029998148,0.00019515328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035174717,0.00046698493,0.0007540797,0.0008689194,0.00026721848,0.00085763785,0.000958527,0.00094105094,0.0005160022],"category_scores_gemma":[0.013190906,0.00028757233,0.00060526753,0.00047647432,0.0005784266,0.00129556,0.001105058,0.0010204002,0.0001427334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006131422,0.00019361684,0.060865536,0.00014095318,0.0002983949,0.0011505333,0.00026229917,0.74435043,0.010472909,0.026848227,0.0009345255,0.1538694],"study_design_scores_gemma":[0.000008955743,0.000041841537,0.002937568,0.0000028112397,0.000005933091,0.0000555008,0.000010194933,0.99355525,0.00053797173,0.0027550207,0.00008221526,0.0000066262432],"about_ca_topic_score_codex":0.0019013236,"about_ca_topic_score_gemma":0.001619786,"teacher_disagreement_score":0.0035174717,"about_ca_system_score_codex":0.00027785765,"about_ca_system_score_gemma":0.00057961117,"threshold_uncertainty_score":0.01860243},"labels":[],"label_agreement":null},{"id":"W2930354127","doi":"10.2139/ssrn.2420772","title":"Funding Liquidity CAPM: International Evidence","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Capital asset pricing model; Market liquidity; Economics; Business; Financial economics; Monetary economics; Financial system","score_opus":0.04048595555227006,"score_gpt":0.24245366621702263,"score_spread":0.20196771066475258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2930354127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4492807,0.18244854,0.0027933992,0.09004285,0.00082803896,0.00012407414,0.005981041,0.00031287363,0.26818848],"genre_scores_gemma":[0.97060996,0.018079389,0.00030988888,0.0035196044,0.0018564097,0.000035096877,0.001232215,0.000036095196,0.0043213214],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99666214,0.0008960061,0.000295422,0.00043368185,0.0010805953,0.00063218817],"domain_scores_gemma":[0.88906527,0.06010434,0.033242587,0.0035955084,0.010068396,0.0039239833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066657704,0.00051601965,0.0008384806,0.004694536,0.00096474524,0.007080122,0.0013954185,0.0038605735,0.022022387],"category_scores_gemma":[0.051407557,0.00036650346,0.00047147405,0.0048629018,0.0030985626,0.002881207,0.0016829082,0.0030429387,0.0037653851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005987479,0.00072287826,0.41917646,0.002882029,0.0009240007,0.0015784793,0.0026194965,0.001393296,0.0010909048,0.12215306,0.11438978,0.32708204],"study_design_scores_gemma":[0.0021720745,0.00090209226,0.60077614,0.0076525887,0.002922835,0.0034198589,0.005400244,0.004197146,0.0060160593,0.08918156,0.2771476,0.00021193246],"about_ca_topic_score_codex":0.0060329475,"about_ca_topic_score_gemma":0.005034035,"teacher_disagreement_score":0.022022387,"about_ca_system_score_codex":0.001873883,"about_ca_system_score_gemma":0.0021180434,"threshold_uncertainty_score":0.073672235},"labels":[],"label_agreement":null},{"id":"W2934606109","doi":"10.3390/jrfm12020053","title":"Sentiment-Induced Bubbles in the Cryptocurrency Market","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Cryptocurrency; Volatility (finance); Econometrics; Leverage (statistics); Index (typography); Autoregressive model; Bubble; Leverage effect; Stock market index; Heteroscedasticity; Economics; Economic bubble; Computer science; Statistical physics; Autoregressive conditional heteroskedasticity; Stock market; Physics; Monetary economics; Artificial intelligence","score_opus":0.013323978067627619,"score_gpt":0.2018128050230707,"score_spread":0.18848882695544308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2934606109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979407,0.000035847996,0.0013773056,0.00004921805,0.0000033616438,0.000004391131,0.00003433874,0.000013782227,0.0005410365],"genre_scores_gemma":[0.99971086,0.000015922207,0.00016192372,0.000004483029,0.0000031928287,0.0000014225835,0.000030181982,0.0000018492796,0.00007006227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986506,0.000034965524,0.000009374636,0.000026339198,0.000034418474,0.000029789178],"domain_scores_gemma":[0.99805224,0.0008219267,0.00075717625,0.00007632506,0.00014294036,0.00014944491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070871814,0.00019546789,0.00028294438,0.00043510308,0.00016991615,0.00074388395,0.00016948086,0.0003122578,0.0009676827],"category_scores_gemma":[0.0048932103,0.00015707144,0.00017422723,0.00027632964,0.00050621596,0.00076781283,0.0003184616,0.0005157708,0.000088396526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020966795,0.0006596752,0.69905293,0.0001979021,0.0003925061,0.0029591604,0.0008412704,0.07093779,0.087050274,0.08602976,0.0023161683,0.047465853],"study_design_scores_gemma":[0.00008465482,0.00028094836,0.36998132,0.000022136013,0.00008175534,0.00028817123,0.00024365085,0.60020286,0.007787145,0.020468134,0.00050685205,0.000052342624],"about_ca_topic_score_codex":0.0031810757,"about_ca_topic_score_gemma":0.0019781827,"teacher_disagreement_score":0.0031810757,"about_ca_system_score_codex":0.00038239706,"about_ca_system_score_gemma":0.00021932344,"threshold_uncertainty_score":0.0063251257},"labels":[],"label_agreement":null},{"id":"W2936215982","doi":"10.5267/j.msl.2019.3.012","title":"Intraday return volatility in Saudi Stock Market: An evidence from Tadawul All Share Index","year":2019,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deanship of Scientific Research, Prince Sattam bin Abdulaziz University; Prince Sattam bin Abdulaziz University","keywords":"Leverage effect; Volatility (finance); Autoregressive conditional heteroskedasticity; Econometrics; Economics; Stock market; Stock (firearms); Leverage (statistics); Financial economics; Stock market index; Statistics; Mathematics; Geography","score_opus":0.03334616777754751,"score_gpt":0.2303441649327838,"score_spread":0.1969979971552363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936215982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978841,0.00068782846,0.0001043908,0.00014824224,0.0000066621487,0.0000025978022,0.00019483398,0.0000034147272,0.0009679421],"genre_scores_gemma":[0.99896026,0.00048926316,0.000068763344,0.000016812048,0.000025203644,9.475559e-7,0.00025882848,0.0000014265172,0.0001784077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969006,0.00003888468,0.000046985402,0.000045726378,0.00015052373,0.00002786396],"domain_scores_gemma":[0.9967301,0.0007738618,0.0012740475,0.00016977664,0.0008867961,0.00016544158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005415585,0.00016723809,0.00017831362,0.0015988462,0.00019307836,0.00075044954,0.00018484113,0.00027765558,0.000826136],"category_scores_gemma":[0.0030117691,0.00009381001,0.0002391714,0.0013694996,0.00023311941,0.0005948245,0.00032156406,0.00027505113,0.00020428027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019751402,0.00007034813,0.9776723,0.000086925684,0.00013125488,0.0005520701,0.00093303516,0.00045951467,0.0022672915,0.00060424674,0.0007803678,0.016245063],"study_design_scores_gemma":[0.0000051446286,0.00006141501,0.9951251,0.000021419384,0.00005183785,0.00028540578,0.0006659357,0.001543235,0.0006793237,0.0002268388,0.0013240845,0.0000101705145],"about_ca_topic_score_codex":0.007438709,"about_ca_topic_score_gemma":0.0069381,"teacher_disagreement_score":0.007438709,"about_ca_system_score_codex":0.00022685382,"about_ca_system_score_gemma":0.0002394452,"threshold_uncertainty_score":0.014790833},"labels":[],"label_agreement":null},{"id":"W2936608165","doi":"10.33423/jabe.v20i7.134","title":"Flash Orders and Tipping Insider Information: A Comment","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Transparency (behavior); Insider; Competition (biology); Business; Insider trading; Order (exchange); Financial economics; Economics; Monetary economics; Finance; Computer science; Political science; Computer security; Law","score_opus":0.018012293603386253,"score_gpt":0.18262685114815524,"score_spread":0.164614557544769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936608165","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026124905,0.00045883047,0.00015501332,0.98509556,0.011889235,0.000005968182,0.00006898554,0.000023348604,0.002041789],"genre_scores_gemma":[0.004659315,0.00037356865,0.00020045388,0.9744221,0.01690791,0.000021505059,0.000018341017,0.00005509801,0.0033417935],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98403084,0.004156928,0.001434727,0.003345661,0.005358538,0.001673302],"domain_scores_gemma":[0.92712516,0.047923833,0.0034820745,0.0019968438,0.017390717,0.0020813385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01199616,0.0012683348,0.0012968045,0.0014771093,0.009182347,0.008378821,0.0059253364,0.07164338,0.008787358],"category_scores_gemma":[0.09679476,0.00097589893,0.001868977,0.0018950595,0.010775958,0.01193567,0.003845586,0.052043,0.0050976994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002727381,0.0000072600606,0.00011779405,0.00007243163,0.000008138796,0.0002963978,0.0027090746,0.000043621105,0.000116465795,0.016367903,0.97853756,0.0016960021],"study_design_scores_gemma":[0.00003983959,0.000025896095,0.00056474766,0.0005608088,0.000027397178,0.0003279712,0.0038110802,0.00033184103,0.00048672434,0.01318537,0.98052293,0.00011531905],"about_ca_topic_score_codex":0.0618491,"about_ca_topic_score_gemma":0.060275625,"teacher_disagreement_score":0.07164338,"about_ca_system_score_codex":0.010170531,"about_ca_system_score_gemma":0.011703544,"threshold_uncertainty_score":0.12297815},"labels":[],"label_agreement":null},{"id":"W2937185793","doi":"10.3390/jrfm12020068","title":"The Impact of Algorithmic Trading in a Simulated Asset Market","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Algorithmic trading; Arbitrage; Asset (computer security); Statistical arbitrage; Financial economics; Pairs trade; Order (exchange); Econometrics; Trading strategy; Economics; Market impact; Work (physics); Market microstructure; High-frequency trading; Business; Alternative trading system; Capital asset pricing model; Risk arbitrage; Computer science; Arbitrage pricing theory; Monetary economics; Finance","score_opus":0.010210884052355552,"score_gpt":0.21681880011886664,"score_spread":0.2066079160665111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937185793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990716,0.00005323106,0.006415031,0.00014737062,0.000015592843,0.000025976962,0.00009329129,0.000060055234,0.002473511],"genre_scores_gemma":[0.9975842,0.000019517176,0.002092626,0.000027695014,0.0000026719579,0.000012291123,0.000047793856,0.000007627715,0.00020558559],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918276,0.00040353477,0.00005112444,0.00008549159,0.00013148945,0.0001456354],"domain_scores_gemma":[0.98615617,0.0098997755,0.001562778,0.0008645316,0.00087570277,0.0006409764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019842423,0.00048664236,0.0005233769,0.00063467264,0.00040243033,0.0012799992,0.0007356111,0.0011228005,0.0024360756],"category_scores_gemma":[0.014849733,0.00023282153,0.00042556843,0.00042027063,0.0010826653,0.0012987902,0.0010434297,0.0010635939,0.00011105613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031432553,0.00025202628,0.010657414,0.00003365979,0.00005322079,0.00011893337,0.00007832318,0.9751143,0.0016557142,0.008529298,0.0002320077,0.002960695],"study_design_scores_gemma":[0.000039217088,0.00018904585,0.0012529409,0.000005988101,0.000013035432,0.000019448762,0.00005262837,0.9943111,0.00071538176,0.0032632605,0.00012695606,0.000010989336],"about_ca_topic_score_codex":0.005283138,"about_ca_topic_score_gemma":0.0031222606,"teacher_disagreement_score":0.005283138,"about_ca_system_score_codex":0.00072139053,"about_ca_system_score_gemma":0.00077836786,"threshold_uncertainty_score":0.010504782},"labels":[],"label_agreement":null},{"id":"W2939248295","doi":"10.2139/ssrn.3368264","title":"Does the CAPM Predict Returns?","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital asset pricing model; Economics; Financial economics; Econometrics; Business","score_opus":0.008140969373939266,"score_gpt":0.18402112284904296,"score_spread":0.1758801534751037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939248295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9715366,0.0022199815,0.0021472862,0.010785022,0.000522451,0.00002292934,0.0022591269,0.00014009296,0.01036645],"genre_scores_gemma":[0.9964336,0.00033385522,0.00022248251,0.0003032302,0.00045689472,0.0000074489867,0.0006794671,0.000026047666,0.0015371195],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991492,0.00032331885,0.00006072653,0.00013004431,0.000116152936,0.00022054676],"domain_scores_gemma":[0.96700424,0.01977951,0.005800533,0.0022430907,0.0022625038,0.0029100648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033714143,0.0006257691,0.0008271671,0.0014224321,0.00040268767,0.0037401824,0.0010507386,0.0033261012,0.012983146],"category_scores_gemma":[0.036220398,0.0003350379,0.0007524582,0.0010260321,0.0007072971,0.0026690047,0.0007597774,0.0024409727,0.0062170806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004465886,0.00021238613,0.97254264,0.000037012425,0.00016560742,0.00016658506,0.000052947467,0.0022763018,0.00015514232,0.0015275549,0.0063328166,0.016084421],"study_design_scores_gemma":[0.00012961806,0.00048678328,0.8920788,0.00014481343,0.00034819433,0.00069836696,0.00047455356,0.07878767,0.0008427176,0.01908424,0.006854438,0.00006985038],"about_ca_topic_score_codex":0.006233447,"about_ca_topic_score_gemma":0.0037545073,"teacher_disagreement_score":0.012983146,"about_ca_system_score_codex":0.00053758605,"about_ca_system_score_gemma":0.0008819608,"threshold_uncertainty_score":0.04343295},"labels":[],"label_agreement":null},{"id":"W2940014848","doi":"10.1093/imaman/dpz006","title":"Theoretical and practical motivations for the use of the moving average rule in the stock market","year":2019,"lang":"en","type":"article","venue":"IMA Journal of Management Mathematics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Vysoká Škola Bánská - Technická Univerzita Ostrava; Grantová Agentura České Republiky","keywords":"Stock market; Portfolio; Econometrics; Stock (firearms); Computer science; Financial economics; Economics; Context (archaeology); Engineering","score_opus":0.04832550256268352,"score_gpt":0.250108823973681,"score_spread":0.20178332141099747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940014848","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041474253,0.0014189306,0.9402557,0.0047137495,0.0002791238,0.00006983642,0.00013184172,0.00013809437,0.0115184225],"genre_scores_gemma":[0.7954206,0.0007579434,0.20023456,0.00073983305,0.00087873265,0.0002189129,0.000077393284,0.00006589659,0.0016061384],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9934022,0.0035959773,0.00040523088,0.0011063067,0.0012749119,0.0002153368],"domain_scores_gemma":[0.9206717,0.06563021,0.0044613187,0.00466112,0.003661344,0.0009142463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01580973,0.0007082138,0.0011127897,0.0022043998,0.0013316845,0.003424868,0.003084337,0.0031556766,0.0030584112],"category_scores_gemma":[0.082473814,0.0006886563,0.0013009971,0.0016174327,0.0068863207,0.0062232204,0.0022178264,0.0052608047,0.00035014137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023336204,0.00003731655,0.0017559007,0.000034420984,0.00002662741,0.0001670741,0.0001925059,0.015461743,0.00029472547,0.97393465,0.0005303175,0.007541541],"study_design_scores_gemma":[0.000020252584,0.000044904693,0.0006527983,0.00003977296,0.000011429514,0.00014783085,0.00004547906,0.13992015,0.00034380652,0.8570021,0.00174482,0.000026714933],"about_ca_topic_score_codex":0.0018667732,"about_ca_topic_score_gemma":0.0007802816,"teacher_disagreement_score":0.01580973,"about_ca_system_score_codex":0.0014314797,"about_ca_system_score_gemma":0.00092581124,"threshold_uncertainty_score":0.08361083},"labels":[],"label_agreement":null},{"id":"W2940281403","doi":"10.5539/ijef.v11n5p43","title":"The Dogs of the Dow Theory – Is It Valid?","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Economics; Investment (military); Term (time); Efficient-market hypothesis; Financial economics; Econometrics; Computer science; Stock market; Political science","score_opus":0.021849785422694574,"score_gpt":0.22170453118366726,"score_spread":0.19985474576097267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940281403","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3645819,0.0401811,0.05217567,0.3953266,0.00513141,0.0003472516,0.0032151258,0.00020620265,0.13883464],"genre_scores_gemma":[0.9638325,0.005638646,0.0057405494,0.018876344,0.002057258,0.000082691105,0.00053570326,0.000078099234,0.0031581558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9897043,0.0036387504,0.0006232798,0.0018778418,0.003474725,0.0006810861],"domain_scores_gemma":[0.9321906,0.04159912,0.013015042,0.0055803605,0.0058945613,0.0017202595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017263643,0.00049669953,0.0016360957,0.0022745165,0.001851343,0.0071703717,0.0026795021,0.0040318095,0.011853349],"category_scores_gemma":[0.088828884,0.00036005332,0.0009947313,0.0030747717,0.009987506,0.012564156,0.0019411885,0.004788029,0.0019934734],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055139523,0.00030087837,0.21562117,0.0006874693,0.0007057939,0.0004995408,0.002487019,0.0031141178,0.00022522974,0.5685053,0.048318863,0.15898313],"study_design_scores_gemma":[0.00021848115,0.0007991914,0.0878581,0.0014761372,0.00032940716,0.0006865691,0.0055136,0.011079977,0.00050117273,0.8167721,0.0746103,0.00015502713],"about_ca_topic_score_codex":0.011269442,"about_ca_topic_score_gemma":0.0076780827,"teacher_disagreement_score":0.017263643,"about_ca_system_score_codex":0.002990576,"about_ca_system_score_gemma":0.0037972666,"threshold_uncertainty_score":0.09129995},"labels":[],"label_agreement":null},{"id":"W2940657226","doi":"10.3917/fina.393.0045","title":"Testing the new Fama and French factors with illiquidity: A panel data investigation","year":2018,"lang":"fr","type":"article","venue":"Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; University of Ottawa","funders":"","keywords":"Humanities; Economics; Political science; Philosophy","score_opus":0.14689157681892237,"score_gpt":0.23346544763525495,"score_spread":0.08657387081633258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940657226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97851765,0.0013682256,0.008082947,0.0024677727,0.00006535262,0.00008147798,0.0022776276,0.0000757907,0.0070631336],"genre_scores_gemma":[0.9937395,0.0003749646,0.0018921269,0.00027495544,0.00008860815,0.00005583204,0.0016942922,0.000022382763,0.0018572286],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99527884,0.002790037,0.0002483814,0.00076652266,0.00052137434,0.0003949118],"domain_scores_gemma":[0.9382884,0.047199626,0.007815508,0.0029932861,0.0024321903,0.0012709412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0115222335,0.00066226843,0.0008183994,0.0011911268,0.0012247616,0.0030932967,0.0010974819,0.0017333127,0.009874054],"category_scores_gemma":[0.03615015,0.00033647916,0.0015356014,0.0018596355,0.0011645305,0.0017030436,0.0014347723,0.0017943154,0.0010570841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008865508,0.00026759866,0.93248886,0.00013410674,0.0010005718,0.0008751746,0.0025317932,0.012433075,0.0006161126,0.016585065,0.005960371,0.02622072],"study_design_scores_gemma":[0.00041787833,0.0012674443,0.84244263,0.00027010168,0.0017680646,0.0005542317,0.008387317,0.08820137,0.0022083384,0.016310342,0.03798177,0.00019043902],"about_ca_topic_score_codex":0.07529928,"about_ca_topic_score_gemma":0.0347478,"teacher_disagreement_score":0.07529928,"about_ca_system_score_codex":0.0016924733,"about_ca_system_score_gemma":0.0015104625,"threshold_uncertainty_score":0.14972192},"labels":[],"label_agreement":null},{"id":"W2940848734","doi":"10.2139/ssrn.3121351","title":"Informed Trading by Mutual Funds after Private Placement: Evidence from China","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Business; China; Mutual fund; Finance; Financial system; Political science; Law","score_opus":0.017986811812939544,"score_gpt":0.2216011097890473,"score_spread":0.20361429797610775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940848734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99839056,0.00021297674,0.000052046013,0.00023702171,0.000004081207,0.0000061959518,0.00009059551,0.000004745792,0.0010018535],"genre_scores_gemma":[0.99909973,0.000106168656,0.000021206144,0.000034829605,0.000010727194,0.0000027660863,0.00010382355,0.0000011459463,0.00061959994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991198,0.00018961767,0.000057939757,0.000100519224,0.00021014719,0.0003220753],"domain_scores_gemma":[0.9838471,0.0035598811,0.008976252,0.0011136247,0.0010536943,0.0014494399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015758744,0.00020882493,0.000451906,0.00093281246,0.0010279308,0.0018440578,0.0008363349,0.0015811214,0.002962285],"category_scores_gemma":[0.009313316,0.000210835,0.00030477482,0.0013935813,0.0012919706,0.0013538508,0.001058872,0.0008688237,0.00035385616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001506002,0.00040501426,0.96222365,0.000069608206,0.00020231688,0.0010457679,0.0022990108,0.0011467756,0.00068257796,0.0037473184,0.0016897446,0.024982166],"study_design_scores_gemma":[0.00020803839,0.00043291887,0.9855139,0.000034835008,0.00022672361,0.0002552691,0.0023319249,0.003995665,0.0012686116,0.002457322,0.0032278376,0.000046925274],"about_ca_topic_score_codex":0.032483302,"about_ca_topic_score_gemma":0.040593874,"teacher_disagreement_score":0.032483302,"about_ca_system_score_codex":0.001520759,"about_ca_system_score_gemma":0.0017976707,"threshold_uncertainty_score":0.06458849},"labels":[],"label_agreement":null},{"id":"W2941155699","doi":"10.2139/ssrn.3351423","title":"Coherent Diversification Measures in Portfolio Theory: An Axiomatic Foundation","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université de Sherbrooke","funders":"","keywords":"Diversification (marketing strategy); Modern portfolio theory; Axiom; Foundation (evidence); Mathematical economics; Portfolio; Economics; Financial economics; Mathematics; Actuarial science; Business; Political science; Law; Geometry","score_opus":0.021061995285767066,"score_gpt":0.2166604761462202,"score_spread":0.19559848086045312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941155699","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04894256,0.0029472471,0.9112263,0.00720856,0.0003187728,0.000060369657,0.00029620685,0.00012656237,0.028873397],"genre_scores_gemma":[0.7367313,0.004051784,0.24906597,0.0017002369,0.0019466274,0.00029984204,0.00054174126,0.00009283041,0.005569692],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978289,0.0008331977,0.00019641039,0.00040366457,0.0005983208,0.00013946684],"domain_scores_gemma":[0.9901362,0.0064721103,0.0007832691,0.0009873525,0.0012287466,0.00039232874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005912327,0.00076051586,0.0010570025,0.0027455415,0.0014423714,0.004662652,0.0016592868,0.0029502779,0.003008239],"category_scores_gemma":[0.011516581,0.0007674639,0.0016244705,0.0028106635,0.0067601516,0.0131682,0.0036858981,0.0053584906,0.00044651923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021126748,0.0000060316374,0.00006211839,0.000010351496,0.0000038543585,0.000007902824,0.000026286309,0.00039258893,0.00006610263,0.9977374,0.000218813,0.0014664353],"study_design_scores_gemma":[0.0000049190803,0.0000056193735,0.000053050582,0.0000057796497,0.000002671302,0.000015733043,0.000007242236,0.002994752,0.000027985887,0.9964228,0.00045588717,0.000003572777],"about_ca_topic_score_codex":0.0005245016,"about_ca_topic_score_gemma":0.00045247693,"teacher_disagreement_score":0.005912327,"about_ca_system_score_codex":0.0012830672,"about_ca_system_score_gemma":0.0011387417,"threshold_uncertainty_score":0.031267762},"labels":[],"label_agreement":null},{"id":"W2941593252","doi":"","title":"한국 주식시장의 투자주체별 거래행태에 관한 분석","year":2006,"lang":"ko","type":"article","venue":"Jeung'gweon hag'hoeji","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Economics","score_opus":0.018839487048615315,"score_gpt":0.1974423654278571,"score_spread":0.17860287837924177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941593252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99925977,0.00008649611,0.000034836477,0.000035072957,0.0000020948823,0.000001707292,0.00007924562,0.0000010330136,0.00049954024],"genre_scores_gemma":[0.9993523,0.00003648003,0.000019616986,0.000008513347,0.0000037291366,0.0000013119645,0.00016110377,7.9070327e-7,0.00041618946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994199,0.000112355774,0.000076274126,0.00010139952,0.00012174652,0.00016838122],"domain_scores_gemma":[0.9962441,0.0010804996,0.001063459,0.0001955964,0.00067427655,0.0007420551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012830446,0.00019817002,0.00019947637,0.00070164294,0.0002706035,0.000781832,0.0002108726,0.00036878858,0.0017946715],"category_scores_gemma":[0.003427574,0.00011350919,0.00047016938,0.0006271519,0.00025359,0.00086261355,0.00037424508,0.00036807274,0.00050589064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034813085,0.000058621074,0.9918433,0.000008242841,0.00009546142,0.00009443397,0.00019570925,0.00051825924,0.00089856295,0.00020305526,0.00019533724,0.00554094],"study_design_scores_gemma":[0.0000044149147,0.0001009941,0.9974081,0.0000031947168,0.000037710386,0.000072785304,0.0003706251,0.0013625709,0.00033981015,0.00013731202,0.00015448936,0.000008031211],"about_ca_topic_score_codex":0.0045089256,"about_ca_topic_score_gemma":0.0062388494,"teacher_disagreement_score":0.0045089256,"about_ca_system_score_codex":0.0005337834,"about_ca_system_score_gemma":0.00021020573,"threshold_uncertainty_score":0.008965313},"labels":[],"label_agreement":null},{"id":"W2941938357","doi":"10.5539/ijef.v11n6p14","title":"Factors of Stock Return and Carhart Model: The Case of Dhaka Stock Exchange (DSE) of Bangladesh","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Chittagong","keywords":"Portfolio; Economics; Econometrics; Value premium; Risk premium; Abnormal return; Stock market; Stock exchange; Expected return; Financial economics; Sample size determination; Stock (firearms); Capital asset pricing model; Statistics; Mathematics","score_opus":0.041425734990063585,"score_gpt":0.23394881574613038,"score_spread":0.1925230807560668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941938357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99347466,0.000365729,0.002408803,0.00043196272,0.000010671234,0.00003292412,0.0002464418,0.000021535774,0.0030073735],"genre_scores_gemma":[0.9984554,0.00015895262,0.0003750885,0.000013472578,0.000009032321,0.000008548988,0.00016260835,0.000004137601,0.00081270694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992016,0.00027631334,0.000053736985,0.00016220078,0.00015506602,0.00015106828],"domain_scores_gemma":[0.99413246,0.00372521,0.00088839995,0.00036485706,0.00064958807,0.00023960037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021814571,0.0006076959,0.00046917188,0.001395608,0.0005106287,0.001669049,0.0006335612,0.00080105703,0.0029377718],"category_scores_gemma":[0.0087752305,0.00021539892,0.0008784424,0.001197587,0.00065423566,0.001218611,0.0005808862,0.00088873046,0.00044055356],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026113327,0.00008356921,0.9334031,0.00005403554,0.00022996124,0.0023788442,0.00072392065,0.036920518,0.0005953177,0.010081814,0.0012566162,0.014011182],"study_design_scores_gemma":[0.00006548034,0.00029475358,0.6037576,0.00006103585,0.00021963446,0.0009231633,0.002139999,0.37883505,0.00066532317,0.009140403,0.0038106937,0.000086883396],"about_ca_topic_score_codex":0.05184351,"about_ca_topic_score_gemma":0.019018432,"teacher_disagreement_score":0.05184351,"about_ca_system_score_codex":0.0012519778,"about_ca_system_score_gemma":0.0008862486,"threshold_uncertainty_score":0.10308355},"labels":[],"label_agreement":null},{"id":"W2943280070","doi":"10.7202/1058591ar","title":"Le prix du risque","year":2019,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.02397305105746708,"score_gpt":0.19186217966410196,"score_spread":0.16788912860663488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943280070","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14616899,0.020116149,0.73012024,0.013854231,0.0020855197,0.000441188,0.004196692,0.0010287892,0.08198814],"genre_scores_gemma":[0.81746304,0.009287269,0.13646267,0.0015042091,0.0008635261,0.00042680185,0.0020017358,0.000383308,0.031607438],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963122,0.0014838799,0.00016676783,0.00092134526,0.0009045396,0.00021128607],"domain_scores_gemma":[0.98011816,0.015732916,0.0011176546,0.0011780056,0.0016264479,0.00022676084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053071585,0.0015350401,0.0016015825,0.0020911102,0.0007143952,0.0057628388,0.0018128123,0.0029156434,0.013909342],"category_scores_gemma":[0.032146838,0.0006153783,0.0019112498,0.0014735985,0.0010531307,0.003213613,0.0015000477,0.0036427386,0.0028439914],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093054527,0.00046450493,0.11078875,0.0016039388,0.0013607325,0.00083020935,0.001955344,0.20782825,0.0035898595,0.22622572,0.021222694,0.4231995],"study_design_scores_gemma":[0.00015944857,0.00092694047,0.09081403,0.0014727587,0.00088812277,0.0017600106,0.0018647461,0.43492612,0.008811614,0.34121135,0.11667236,0.00049254094],"about_ca_topic_score_codex":0.010883488,"about_ca_topic_score_gemma":0.008001829,"teacher_disagreement_score":0.013909342,"about_ca_system_score_codex":0.002232964,"about_ca_system_score_gemma":0.002162033,"threshold_uncertainty_score":0.04653138},"labels":[],"label_agreement":null},{"id":"W2943299243","doi":"10.2139/ssrn.2929753","title":"NAV Inflation: Quarter-End Price Manipulation and Impact on Performance","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Inflation (cosmology); Economics; Monetary economics; Keynesian economics; Geography; Physics","score_opus":0.020031731105664665,"score_gpt":0.23380030467737023,"score_spread":0.21376857357170556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943299243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965783,0.00013116986,0.00007713454,0.0002045134,0.000038671482,0.0000023115535,0.00028358208,0.000020658017,0.002663607],"genre_scores_gemma":[0.9987937,0.00004364575,0.00002658725,0.000027266567,0.000037857033,0.0000023014932,0.0002624583,0.000010449617,0.00079553644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999608,0.000096776435,0.00003384893,0.000059660168,0.00010398599,0.0000977089],"domain_scores_gemma":[0.9958126,0.0016611156,0.0012835874,0.00020780339,0.0004608759,0.0005740142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008276054,0.00014883849,0.00028860176,0.00031332957,0.00018262868,0.0012859685,0.00019859677,0.00069638726,0.004866302],"category_scores_gemma":[0.0094153825,0.000106870546,0.00022880534,0.0005502989,0.00018674781,0.00068063126,0.00050500385,0.0007489288,0.001286703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010824083,0.0013200241,0.92200863,0.00007053687,0.00023510498,0.00030629622,0.00046798674,0.0024946632,0.006479303,0.0012957716,0.0044202204,0.05007737],"study_design_scores_gemma":[0.00003108162,0.00083336496,0.995112,0.00000804235,0.000046594647,0.00007552175,0.00023787202,0.0020200966,0.000580734,0.0003730301,0.0006689666,0.000012808299],"about_ca_topic_score_codex":0.0024533698,"about_ca_topic_score_gemma":0.0020757606,"teacher_disagreement_score":0.004866302,"about_ca_system_score_codex":0.00029461566,"about_ca_system_score_gemma":0.00040186243,"threshold_uncertainty_score":0.0162794},"labels":[],"label_agreement":null},{"id":"W2943529250","doi":"10.2139/ssrn.3380516","title":"rTSR: When Do Relative Performance Metrics Capture Relative Performance?","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","score_opus":0.012206137421859397,"score_gpt":0.18841200794713767,"score_spread":0.17620587052527828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943529250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4606277,0.012627924,0.38371387,0.009805334,0.0025319615,0.00048904866,0.007394589,0.0053054816,0.11750411],"genre_scores_gemma":[0.9558557,0.0007578582,0.03443602,0.0006662153,0.0006782884,0.00020951123,0.0017370757,0.0006076144,0.005051651],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9842577,0.007138351,0.0014479636,0.0018216886,0.0044097835,0.0009244432],"domain_scores_gemma":[0.8925068,0.058972668,0.018484076,0.011916732,0.015742453,0.0023772512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02444019,0.0015258719,0.0016178672,0.005641443,0.0006572821,0.0062194294,0.0017732066,0.0023493636,0.007218647],"category_scores_gemma":[0.16096608,0.00045332892,0.0008219014,0.004392328,0.001917772,0.015013282,0.0020081582,0.0020122947,0.005039333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014139924,0.0005517575,0.2240496,0.0011286933,0.0009878628,0.00015594599,0.0014658505,0.02832128,0.0049214866,0.11758461,0.04521877,0.5742002],"study_design_scores_gemma":[0.0002056018,0.0028971187,0.288566,0.0014817836,0.0007976451,0.00108745,0.0035641151,0.26902422,0.014405742,0.33373857,0.08358548,0.0006463458],"about_ca_topic_score_codex":0.0023686385,"about_ca_topic_score_gemma":0.0015662339,"teacher_disagreement_score":0.02444019,"about_ca_system_score_codex":0.001343557,"about_ca_system_score_gemma":0.0012538652,"threshold_uncertainty_score":0.12925357},"labels":[],"label_agreement":null},{"id":"W2943608204","doi":"10.3982/qe1060","title":"Jump factor models in large cross‐sections","year":2019,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Jump; Estimator; Econometrics; Factor analysis; Mathematics; Heteroscedasticity; Statistics; Null hypothesis; Economics; Physics","score_opus":0.06776226396943172,"score_gpt":0.2727294538677635,"score_spread":0.20496718989833176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943608204","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19976078,0.00063466333,0.7951559,0.00056091207,0.00010262951,0.000113387185,0.00044415006,0.0004932731,0.0027342855],"genre_scores_gemma":[0.94405663,0.0005048399,0.04684313,0.00018437847,0.00020361344,0.00025181632,0.00084947667,0.00010719762,0.006999016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971149,0.001211026,0.00014979175,0.00064929074,0.000484889,0.00039014517],"domain_scores_gemma":[0.95995235,0.028913798,0.0052933902,0.003573652,0.0015505162,0.00071631104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011990838,0.00095393026,0.0013786915,0.0023221083,0.00056591234,0.0016944621,0.0023588794,0.001556645,0.0056414804],"category_scores_gemma":[0.034990404,0.00095588807,0.0022013737,0.0014175241,0.0023387636,0.002874896,0.0021979902,0.0023841236,0.00086304557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003424445,0.00023192917,0.065101855,0.00017990527,0.00090630655,0.0008493975,0.000610754,0.4653159,0.0029535869,0.41172945,0.002333095,0.049445324],"study_design_scores_gemma":[0.000042511434,0.00008745253,0.007498778,0.000028066366,0.00008119213,0.0000819885,0.000058880734,0.87107116,0.0006083471,0.11966958,0.00072844524,0.000043615793],"about_ca_topic_score_codex":0.006550144,"about_ca_topic_score_gemma":0.0035652334,"teacher_disagreement_score":0.011990838,"about_ca_system_score_codex":0.00087755435,"about_ca_system_score_gemma":0.0006585867,"threshold_uncertainty_score":0.063414335},"labels":[],"label_agreement":null},{"id":"W2944131182","doi":"10.2139/ssrn.3353903","title":"The CAPM Holds","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital asset pricing model; Economics; Econometrics; Financial economics","score_opus":0.009870942840583371,"score_gpt":0.18821520571394088,"score_spread":0.1783442628733575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944131182","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011694968,0.0034895707,0.001520344,0.07904471,0.028060533,0.000054774308,0.0044578114,0.00049570174,0.8817071],"genre_scores_gemma":[0.017220477,0.002416309,0.000651354,0.009646823,0.005570027,0.0001498067,0.0012992433,0.0002147323,0.9628313],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970638,0.00030722033,0.0002339305,0.0010863259,0.0007840613,0.0005245943],"domain_scores_gemma":[0.9884962,0.0028049888,0.0011377459,0.0027841849,0.0033075565,0.0014693704],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017035122,0.0010120792,0.0026160297,0.002342537,0.0033315606,0.013835879,0.0021209065,0.013359208,0.5510149],"category_scores_gemma":[0.023392538,0.000752585,0.0011186469,0.003855957,0.0031641393,0.004506352,0.004154385,0.007880515,0.5222948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010237993,0.00005485634,0.0007991288,0.00028290012,0.00003341518,0.00046309433,0.00017537313,0.000108064654,0.000249318,0.17317995,0.7486085,0.07594302],"study_design_scores_gemma":[0.00003952291,0.000015075481,0.0005654966,0.0003305516,0.000026749784,0.00031051354,0.00012036099,0.00033282468,0.00019539369,0.04345934,0.9545789,0.000025397465],"about_ca_topic_score_codex":0.0020714044,"about_ca_topic_score_gemma":0.0033289413,"teacher_disagreement_score":0.5510149,"about_ca_system_score_codex":0.0022287767,"about_ca_system_score_gemma":0.005170983,"threshold_uncertainty_score":0.6404227},"labels":[],"label_agreement":null},{"id":"W2944558907","doi":"10.3390/jrfm12020081","title":"Adaptive Market Hypothesis: Evidence from the Vietnamese Stock Market","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Bộ Giáo dục và Ðào tạo","keywords":"Vietnamese; Stock exchange; Ho chi minh; Stock market; Econometrics; Stock (firearms); Autoregressive model; Economics; Financial economics; Stock market bubble; Engineering; Biology; Finance","score_opus":0.025764853399301575,"score_gpt":0.19804688256862635,"score_spread":0.17228202916932478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944558907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994352,0.00020264628,0.00071793183,0.00031528788,0.000010209318,0.0000142081635,0.00010804266,0.0000045872584,0.004275163],"genre_scores_gemma":[0.99951136,0.000068317575,0.00011471797,0.000030186551,0.000013534319,0.0000025220638,0.000085974294,0.000001092893,0.00017223983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994696,0.00018403666,0.000043804557,0.00010242508,0.0001396675,0.000060433627],"domain_scores_gemma":[0.9867964,0.007630415,0.0031626197,0.0005840355,0.0011720534,0.0006545648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001704927,0.00014532018,0.00015439665,0.0008821695,0.000295932,0.0007602749,0.000509148,0.000345787,0.0031792251],"category_scores_gemma":[0.010129446,0.00008234735,0.0001605045,0.0006743556,0.0012024037,0.0010906616,0.000412768,0.00034300282,0.00018475673],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041082475,0.00018093044,0.94338715,0.00015431324,0.00015224935,0.001613073,0.0019526044,0.0017329018,0.0020300685,0.014746609,0.00079132756,0.03284801],"study_design_scores_gemma":[0.00006591823,0.00027240187,0.97682095,0.000045847595,0.000060059778,0.0007073637,0.0026438492,0.01013865,0.0010486445,0.0056341016,0.0025418277,0.000020529436],"about_ca_topic_score_codex":0.0067174127,"about_ca_topic_score_gemma":0.0033215613,"teacher_disagreement_score":0.0067174127,"about_ca_system_score_codex":0.00030857566,"about_ca_system_score_gemma":0.00037387334,"threshold_uncertainty_score":0.013356626},"labels":[],"label_agreement":null},{"id":"W2944610631","doi":"10.1002/fut.22015","title":"The impact of the US stock market opening on price discovery of government bond futures","year":2019,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Price discovery; Futures contract; Financial economics; Economics; Treasury; Government bond; Bond; Monetary economics; Futures market; Market depth; Bond market; Order (exchange); Stock market; Business; Interest rate; Finance","score_opus":0.010545133682726802,"score_gpt":0.21955950181786785,"score_spread":0.20901436813514104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944610631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99791986,0.00027238412,0.00008186296,0.00022725535,0.00002158871,0.000004294482,0.00044873272,0.0000075744265,0.0010164888],"genre_scores_gemma":[0.99903995,0.00011257138,0.00003673215,0.000025159114,0.000032803942,0.0000023633727,0.0004937542,0.0000027952542,0.00025395973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988588,0.00018884457,0.00013935844,0.00018472948,0.00040650158,0.0002217515],"domain_scores_gemma":[0.96618426,0.013594171,0.015239058,0.0010572663,0.0022076524,0.0017175926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002589809,0.00021199044,0.0005192794,0.0012372272,0.00046439562,0.0020020904,0.00036554158,0.000835884,0.0030468889],"category_scores_gemma":[0.021386925,0.0002102717,0.0005422346,0.0012282208,0.00072790054,0.0014492238,0.0013560556,0.0011875045,0.00042760454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012937783,0.00023361002,0.9820556,0.000039686347,0.000125093,0.0003793203,0.00022131213,0.0011828273,0.0013966057,0.00048892194,0.0009032837,0.011680034],"study_design_scores_gemma":[0.000015981406,0.0002083813,0.99514246,0.000015121963,0.000055787455,0.00012799492,0.00031704066,0.0018445229,0.0011333661,0.00034178002,0.0007761867,0.000021237161],"about_ca_topic_score_codex":0.0104519,"about_ca_topic_score_gemma":0.012058425,"teacher_disagreement_score":0.0104519,"about_ca_system_score_codex":0.00073006074,"about_ca_system_score_gemma":0.0006784429,"threshold_uncertainty_score":0.020782173},"labels":[],"label_agreement":null},{"id":"W2944840041","doi":"10.1111/1911-3846.12516","title":"Real Incentive Effects of Soft Information","year":2019,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Incentive; Business; Economics; Microeconomics","score_opus":0.038138069792004674,"score_gpt":0.2709648658296885,"score_spread":0.2328267960376838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944840041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7809981,0.0012028009,0.12617232,0.005291509,0.00020458546,0.00036423717,0.000854775,0.00027005593,0.08464162],"genre_scores_gemma":[0.99412054,0.00009757554,0.0037594733,0.00011032101,0.00004039616,0.000030142057,0.000035823537,0.000009363309,0.0017961796],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99101907,0.0042546457,0.0007313254,0.0009081256,0.0020781644,0.0010086774],"domain_scores_gemma":[0.83829665,0.11877518,0.022157079,0.012014859,0.004965449,0.00379077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013092067,0.00087151636,0.0010054968,0.001043145,0.00081894983,0.003985918,0.0013821615,0.002086398,0.015901646],"category_scores_gemma":[0.08388394,0.0007036196,0.0008436526,0.00074070215,0.0033648373,0.0057780463,0.0027974916,0.0031904639,0.0005053443],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021360258,0.0017025344,0.026968712,0.0007813727,0.00028750248,0.0006319758,0.00070187525,0.11907152,0.00847754,0.7585964,0.0019825983,0.07866184],"study_design_scores_gemma":[0.0005174741,0.0019137433,0.044499286,0.00039825132,0.00034153304,0.0005460129,0.0006969736,0.26480108,0.0068495655,0.67283744,0.0063238903,0.00027470628],"about_ca_topic_score_codex":0.0011216203,"about_ca_topic_score_gemma":0.0007858295,"teacher_disagreement_score":0.015901646,"about_ca_system_score_codex":0.0024052055,"about_ca_system_score_gemma":0.0014177266,"threshold_uncertainty_score":0.069238305},"labels":[],"label_agreement":null},{"id":"W2945437183","doi":"10.3390/jrfm12020086","title":"Secondary Market Liquidity and Primary Market Pricing of Corporate Bonds","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Liquidity crisis; Liquidity risk; Business; Accounting liquidity; Bond; Underwriting; Monetary economics; Financial system; Yield (engineering); Corporate bond; Syndicate; Secondary market; Market maker; Liquidity premium; Financial economics; Economics; Finance; Stock market","score_opus":0.012226562879828934,"score_gpt":0.17831655988329556,"score_spread":0.16608999700346663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945437183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909322,0.00083245215,0.00492227,0.0003478698,0.0000143860625,0.000009532667,0.00005252401,0.000027272445,0.0028615682],"genre_scores_gemma":[0.99929833,0.00012161579,0.0001391363,0.000011548546,0.000042468262,0.000002125129,0.00002717585,0.0000029976154,0.0003546303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995466,0.00014775395,0.00003478363,0.0000666159,0.000113615584,0.00009051014],"domain_scores_gemma":[0.97670186,0.0111338245,0.009292476,0.0004924688,0.0012129201,0.0011665361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011562917,0.0003665188,0.0004496462,0.000915162,0.00029923097,0.001920607,0.00049670826,0.0007419487,0.0034920254],"category_scores_gemma":[0.018338129,0.00022862697,0.0004119382,0.00071630883,0.0009002335,0.0021713534,0.00090168644,0.0013189724,0.0004108715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017703659,0.0011209039,0.7845807,0.00033846576,0.00057004736,0.0035727005,0.0013911168,0.0684165,0.015847294,0.07092811,0.001622734,0.04984104],"study_design_scores_gemma":[0.00022339879,0.0014625144,0.6094427,0.00011366304,0.00025621275,0.0017252363,0.0006316104,0.2607591,0.0070763724,0.11629283,0.0018989005,0.000117470445],"about_ca_topic_score_codex":0.001129189,"about_ca_topic_score_gemma":0.0008317953,"teacher_disagreement_score":0.0034920254,"about_ca_system_score_codex":0.0004957927,"about_ca_system_score_gemma":0.0003372295,"threshold_uncertainty_score":0.011681974},"labels":[],"label_agreement":null},{"id":"W2945791160","doi":"10.1086/704619","title":"Left Behind: Creative Destruction, Inequality, and the Stock Market","year":2019,"lang":"en","type":"article","venue":"Journal of Political Economy","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Risk premium; Capital asset pricing model; Inequality; Stock market; Systematic risk; General equilibrium theory; Stock (firearms); Financial economics; Monetary economics; Asset (computer security); Microeconomics","score_opus":0.02114383971800499,"score_gpt":0.23492461967177575,"score_spread":0.21378077995377076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945791160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89489603,0.0015121436,0.05963669,0.0064240396,0.000045026733,0.000018215223,0.00012345158,0.00005773134,0.03728671],"genre_scores_gemma":[0.99736387,0.00020839463,0.00069867296,0.00006540958,0.000025878639,0.000004757144,0.000017563496,0.000003318476,0.0016120829],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99982977,0.000061048675,0.0000051767856,0.000019758347,0.00002303851,0.000061269966],"domain_scores_gemma":[0.9983576,0.0008804279,0.00041435336,0.00009208428,0.00008061192,0.00017493301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070896634,0.00020457458,0.0002904883,0.00045386184,0.00053864444,0.0017263301,0.00050578744,0.0008027378,0.0033404138],"category_scores_gemma":[0.0035851928,0.00012945604,0.000239792,0.00036863814,0.001292373,0.0023611789,0.000863544,0.0010210187,0.00016771749],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009699134,0.00017304566,0.020326516,0.000029588022,0.00004308827,0.0005266151,0.00037008122,0.10154167,0.0007457802,0.8594712,0.0015780128,0.015097398],"study_design_scores_gemma":[0.000034930734,0.00003670484,0.0075577283,0.000026207063,0.000016964934,0.00009702844,0.00019197253,0.26793045,0.0002403062,0.72227794,0.0015726725,0.000017071778],"about_ca_topic_score_codex":0.005012189,"about_ca_topic_score_gemma":0.0031561656,"teacher_disagreement_score":0.005012189,"about_ca_system_score_codex":0.0009946509,"about_ca_system_score_gemma":0.000598511,"threshold_uncertainty_score":0.011174858},"labels":[],"label_agreement":null},{"id":"W2945924498","doi":"10.5539/ijef.v11n7p13","title":"The Relationship of Insider Trading Announcements, Ownership Structure and Corporate Governance: An Event Study Analysis of Athens Stock Exchange Market Technology Firms","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Insider; Insider trading; Business; Stock exchange; Stock (firearms); Event study; Monetary economics; Corporate action; Stock market; Accounting; Financial system; Financial economics; Finance; Economics; Shareholder","score_opus":0.04449891803344542,"score_gpt":0.24438427540046864,"score_spread":0.19988535736702323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945924498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99954873,0.000054232263,0.00005557752,0.000023434306,0.0000012962619,0.0000030730998,0.00005788061,0.0000011405267,0.00025459312],"genre_scores_gemma":[0.9995726,0.000039441195,0.000042170403,0.0000056305175,0.000007006557,0.0000021927922,0.00017478714,4.8779975e-7,0.0001556197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996333,0.00009406782,0.000043951964,0.00007191591,0.00008086402,0.00007578483],"domain_scores_gemma":[0.997279,0.00087466754,0.0013775493,0.00013644191,0.00012032404,0.000212112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006467581,0.00012994952,0.00022714536,0.0010941316,0.00019282871,0.0008558163,0.00017403248,0.0003162038,0.0010506185],"category_scores_gemma":[0.0015652007,0.000077818775,0.00028068636,0.0008784144,0.00023642868,0.00036890974,0.00050703133,0.00032292533,0.00013927864],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105557774,0.00009629274,0.9946925,0.0000069107055,0.000066183675,0.0003191508,0.00022344173,0.00025219496,0.00058726233,0.00014722245,0.00011982728,0.0033834153],"study_design_scores_gemma":[0.000001813547,0.000042591786,0.99860233,0.000002119495,0.0000125805545,0.0000649778,0.00021128112,0.0007518492,0.00011709364,0.000024748932,0.0001659586,0.0000026470957],"about_ca_topic_score_codex":0.005219955,"about_ca_topic_score_gemma":0.0061770948,"teacher_disagreement_score":0.005219955,"about_ca_system_score_codex":0.00030335752,"about_ca_system_score_gemma":0.00019671085,"threshold_uncertainty_score":0.010379136},"labels":[],"label_agreement":null},{"id":"W2946059754","doi":"10.1016/j.jbef.2019.05.003","title":"Simulation-based learning using the RIT market simulator and RIT decision cases","year":2019,"lang":"en","type":"article","venue":"Journal of Behavioral and Experimental Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Flexibility (engineering); Computer science; Personalization; Product (mathematics); Replication (statistics); Investment decisions; Resource (disambiguation); Investment (military); Outcome (game theory); Simulation; Finance; Business; Behavioral economics; Economics; Microeconomics; Management","score_opus":0.04649252719043417,"score_gpt":0.29591793819517964,"score_spread":0.24942541100474547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946059754","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14534862,0.00016244978,0.79399693,0.0007586598,0.00023016089,0.0022741272,0.0024908825,0.0078035085,0.046934646],"genre_scores_gemma":[0.5089802,0.00023478777,0.47141787,0.00021761087,0.00004549039,0.004235553,0.0019917507,0.0006434992,0.012233191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989761,0.0005038801,0.00007623843,0.00014855951,0.00020252823,0.00009269491],"domain_scores_gemma":[0.99054176,0.0075781313,0.00031192042,0.0007090767,0.00054193696,0.00031700323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026820926,0.0009291685,0.00057632575,0.0006337373,0.0003301134,0.0017641758,0.0028207933,0.001232901,0.026462685],"category_scores_gemma":[0.010656421,0.0005071662,0.00079710776,0.0005168287,0.0006604242,0.0012973166,0.0017290226,0.0019480268,0.0022623462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007108699,0.0016465674,0.003210781,0.0004732067,0.000094714924,0.00036296656,0.0010882545,0.85340285,0.004304807,0.053468075,0.011291057,0.06994586],"study_design_scores_gemma":[0.00021688026,0.00017052276,0.00041437766,0.00004590219,0.000016307054,0.000039469607,0.00009077252,0.96940684,0.0025866441,0.015166342,0.011817588,0.000028283024],"about_ca_topic_score_codex":0.002664657,"about_ca_topic_score_gemma":0.0030551285,"teacher_disagreement_score":0.026462685,"about_ca_system_score_codex":0.0008353119,"about_ca_system_score_gemma":0.0011972904,"threshold_uncertainty_score":0.08852649},"labels":[],"label_agreement":null},{"id":"W2946180967","doi":"10.5430/afr.v8n2p226","title":"Examination of Index Model and Prediction of Beta –A Case Study Examination in IT Sector","year":2019,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); BETA (programming language); Stock (firearms); Stock market index; Econometrics; Economics; Stock market; Capitalization-weighted index; Microsoft excel; Financial economics; Business; Actuarial science; Computer science; Geography","score_opus":0.09193695444998767,"score_gpt":0.2933429522140088,"score_spread":0.20140599776402113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946180967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828576,0.00038443887,0.012412863,0.00052802055,0.000011249021,0.000033777473,0.00009926332,0.00006189582,0.0036109113],"genre_scores_gemma":[0.9975218,0.0001668813,0.0017244827,0.000017039269,0.000016825441,0.000008072911,0.00008977921,0.000009606479,0.00044553782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985469,0.0007586179,0.000058673657,0.00020755052,0.00027665313,0.00015154571],"domain_scores_gemma":[0.98113626,0.015394012,0.0012926732,0.00085479923,0.0010802626,0.00024202986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005055981,0.0005844226,0.0006514011,0.0015247798,0.00039575246,0.0023815993,0.0007811929,0.0010526673,0.0015407578],"category_scores_gemma":[0.019394629,0.00033603678,0.00083212584,0.0011275257,0.00059153634,0.002066345,0.00064980105,0.0011962275,0.0003353383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046586522,0.00064606295,0.7589429,0.00012411947,0.00033601912,0.0023379035,0.0009020016,0.17457677,0.0026721603,0.018295627,0.001345962,0.039354526],"study_design_scores_gemma":[0.000021895588,0.0003656243,0.10398995,0.000039374532,0.00009700088,0.0005743148,0.00045398236,0.8860624,0.0011250251,0.0063394587,0.00088700536,0.000043939082],"about_ca_topic_score_codex":0.0064552724,"about_ca_topic_score_gemma":0.0032174354,"teacher_disagreement_score":0.0064552724,"about_ca_system_score_codex":0.0010910513,"about_ca_system_score_gemma":0.000790062,"threshold_uncertainty_score":0.026738882},"labels":[],"label_agreement":null},{"id":"W2946396720","doi":"10.1287/mnsc.2018.3122","title":"Informed Options Trading Prior to Takeover Announcements: Insider Trading?","year":2019,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Insider trading; Business; Commission; Speculation; Equity (law); Alternative trading system; Predictability; Electronic trading; Inside information; Monetary economics; Financial economics; Accounting; Finance; Algorithmic trading; Economics; Law","score_opus":0.034871895328351145,"score_gpt":0.23986879228272928,"score_spread":0.20499689695437814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946396720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973563,0.00030264645,0.0003933249,0.00019219225,0.000009565641,0.0000062003387,0.0003515853,0.00000808446,0.001380287],"genre_scores_gemma":[0.99889034,0.00012949733,0.0001235538,0.00003207189,0.000037336547,0.0000030766219,0.00038632864,0.0000017613282,0.00039604385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936503,0.00009581494,0.00007604231,0.00013857773,0.00019795957,0.00012655415],"domain_scores_gemma":[0.9705577,0.006082114,0.020938596,0.00085056166,0.00067803054,0.0008930419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011503504,0.00022586792,0.0002587331,0.0011876452,0.00027219948,0.0014957921,0.0003238873,0.0006444114,0.0022780914],"category_scores_gemma":[0.012749203,0.00014843426,0.000221765,0.001136917,0.0004390087,0.0017602376,0.00074761076,0.00075029285,0.00045562373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014073752,0.000094910545,0.9874607,0.000022161516,0.000075832475,0.00035809985,0.00039251655,0.0005600237,0.00075657264,0.0006013601,0.00040151086,0.009135605],"study_design_scores_gemma":[0.0000067557603,0.00014266804,0.9918132,0.000030067393,0.00005175449,0.00041607305,0.00060668564,0.003571339,0.0011119294,0.0009788871,0.0012529235,0.000017817823],"about_ca_topic_score_codex":0.0030598333,"about_ca_topic_score_gemma":0.0066331243,"teacher_disagreement_score":0.0030598333,"about_ca_system_score_codex":0.0003570023,"about_ca_system_score_gemma":0.00021574381,"threshold_uncertainty_score":0.0076209903},"labels":[],"label_agreement":null},{"id":"W2946558832","doi":"10.1108/ijmf-10-2017-0226","title":"Market reactions to changes in the Dow Jones industrial average index","year":2019,"lang":"en","type":"article","venue":"International Journal of Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Market liquidity; Economics; Index (typography); Financial economics; Stock market; Stock market index; Econometrics; Stock (firearms); Monetary economics","score_opus":0.031886758423406235,"score_gpt":0.23405107346243692,"score_spread":0.20216431503903068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946558832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99543375,0.00025638667,0.00012117909,0.00014504552,0.000028084456,0.00002117804,0.0005608477,0.000009980718,0.003423455],"genre_scores_gemma":[0.99791116,0.00014399603,0.00012233565,0.000054275606,0.00007075532,0.000010401902,0.00094488065,0.0000028648803,0.00073931733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999033,0.00008201566,0.00014934503,0.00014950932,0.0004531912,0.000132978],"domain_scores_gemma":[0.986636,0.0011667411,0.01008777,0.00037641876,0.001054639,0.0006783196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097629084,0.00018191594,0.00024919782,0.0014278126,0.0002485062,0.0013992372,0.00027114013,0.0002878568,0.0023804586],"category_scores_gemma":[0.007091894,0.00008793579,0.0002931637,0.0011266818,0.00033766526,0.00081237126,0.0007450958,0.0005192739,0.0004822226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015112049,0.00007506505,0.98744315,0.00003400712,0.00006041024,0.000119660086,0.00031211166,0.00016102777,0.0007304159,0.00031543706,0.00067979353,0.009917853],"study_design_scores_gemma":[0.0000017983889,0.000074411495,0.99785787,0.000007109579,0.000010233479,0.00006201845,0.00026565036,0.00016457446,0.00036175942,0.00007770197,0.0011110594,0.000005906056],"about_ca_topic_score_codex":0.004956393,"about_ca_topic_score_gemma":0.0059800833,"teacher_disagreement_score":0.004956393,"about_ca_system_score_codex":0.000571597,"about_ca_system_score_gemma":0.00029774263,"threshold_uncertainty_score":0.009855092},"labels":[],"label_agreement":null},{"id":"W2947099127","doi":"10.1111/jofi.12786","title":"Corrigendum for Dividend Dynamics, Learning, and Expected Stock Index Returns","year":2019,"lang":"en","type":"erratum","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Predictability; Dividend; Econometrics; Stock (firearms); Index (typography); Table (database); Statistics; Computer science; Mathematics; Economics; Data mining; Geography; Finance; World Wide Web","score_opus":0.029676033706851193,"score_gpt":0.23142270647811483,"score_spread":0.20174667277126362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947099127","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013343592,0.0073562386,0.019301869,0.049812894,0.71699476,0.00049687905,0.0801142,0.010391321,0.114197455],"genre_scores_gemma":[0.018611643,0.0082558505,0.016803743,0.021731064,0.08572721,0.0010820493,0.07791112,0.009015904,0.76086146],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99668497,0.0005483011,0.0005309342,0.0005528344,0.0014733467,0.0002095627],"domain_scores_gemma":[0.96442354,0.009873618,0.00166352,0.003907543,0.019138327,0.000993555],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002609944,0.002701558,0.0017055927,0.007522608,0.0015221055,0.0028170336,0.0026337525,0.0023654182,0.41488],"category_scores_gemma":[0.07025613,0.00096563395,0.0016237667,0.005275448,0.00083101337,0.0026748169,0.0024445911,0.003623138,0.24677202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013237976,0.000011113929,0.00019149574,0.00010350133,0.0000068562867,0.000054268094,0.000010183543,0.0000956947,0.00002351215,0.0014120657,0.98650694,0.011571034],"study_design_scores_gemma":[0.000031723408,0.00003629909,0.002451831,0.00036197755,0.0000179872,0.00026235063,0.00004085543,0.00062084856,0.00027492063,0.0056568193,0.9902063,0.000038098628],"about_ca_topic_score_codex":0.019234857,"about_ca_topic_score_gemma":0.01707555,"teacher_disagreement_score":0.41488,"about_ca_system_score_codex":0.0032454142,"about_ca_system_score_gemma":0.0024495393,"threshold_uncertainty_score":0.83460265},"labels":[],"label_agreement":null},{"id":"W2947175421","doi":"10.2139/ssrn.3350687","title":"Price Pressure and Efficiency on FOMC Announcements","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; HEC Montréal","funders":"","keywords":"Monetary economics; Economics; Market efficiency; Keynesian economics; Business; Financial economics","score_opus":0.009739842399043172,"score_gpt":0.19523189614776312,"score_spread":0.18549205374871996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947175421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706708,0.0007659128,0.0018924966,0.002302427,0.00011062362,0.000053687632,0.0007987702,0.00014835638,0.023256877],"genre_scores_gemma":[0.9971973,0.00011139655,0.00012544698,0.000083091996,0.00021016611,0.0000051899324,0.0002919635,0.000030137006,0.0019453794],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970667,0.0006252057,0.00022253067,0.00039788234,0.00093805185,0.0007496864],"domain_scores_gemma":[0.7976968,0.13678698,0.046082016,0.0062244623,0.008408375,0.0048012594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057081287,0.0002572175,0.0007744307,0.002635973,0.0006476078,0.004064735,0.0008388099,0.0019446829,0.01593514],"category_scores_gemma":[0.13651314,0.0003522448,0.00042433979,0.0018398227,0.0009696863,0.0027914166,0.0012694382,0.002160774,0.0024370572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008619476,0.0012909846,0.74177915,0.00036649933,0.0007988226,0.0014343857,0.0018939544,0.03172902,0.007704908,0.044807725,0.022024626,0.13755058],"study_design_scores_gemma":[0.00022797336,0.0006013015,0.9321099,0.000070361144,0.0002684221,0.00038281424,0.0012528782,0.03484289,0.0026417556,0.021407831,0.0060946494,0.00009932443],"about_ca_topic_score_codex":0.006191118,"about_ca_topic_score_gemma":0.0043513756,"teacher_disagreement_score":0.01593514,"about_ca_system_score_codex":0.0017014415,"about_ca_system_score_gemma":0.0008205711,"threshold_uncertainty_score":0.053308368},"labels":[],"label_agreement":null},{"id":"W2947590717","doi":"10.3390/jrfm12020091","title":"Examination and Modification of Multi-Factor Model in Explaining Stock Excess Return with Hybrid Approach in Empirical Study of Chinese Stock Market","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Capital asset pricing model; Risk premium; Economics; Stock market; Stock (firearms); Financial economics; Stock exchange; Regression analysis; Empirical research; Growth stock; Regression; Statistics; Market maker; Mathematics; Engineering; Finance","score_opus":0.038453673595169956,"score_gpt":0.25134896823894104,"score_spread":0.21289529464377108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947590717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78881335,0.0020434507,0.20447476,0.00086962024,0.00012958903,0.000101138416,0.00025857333,0.0003972491,0.002912299],"genre_scores_gemma":[0.9846407,0.0004762657,0.013409597,0.000045035264,0.000073700605,0.000037982565,0.00018445081,0.000039276187,0.0010930856],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988589,0.00050121243,0.00006677678,0.00028857682,0.00015108286,0.00013343728],"domain_scores_gemma":[0.99695766,0.0018538915,0.0003464031,0.00030871772,0.00039100138,0.00014229641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032321282,0.00081762305,0.000704005,0.0022891446,0.0004897943,0.0017828065,0.0009804178,0.0007650608,0.0020511681],"category_scores_gemma":[0.008045109,0.0003686508,0.0020097566,0.0014964169,0.0005240856,0.002124951,0.0008044381,0.0008064405,0.00028843372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027853504,0.00030017179,0.55032134,0.00025146944,0.0014871468,0.0014561717,0.0012551524,0.2552006,0.003293901,0.034995604,0.0026145931,0.14854531],"study_design_scores_gemma":[0.000021049127,0.00009379811,0.05496024,0.000038759117,0.00016927383,0.00018688347,0.00018047499,0.9319377,0.00023371242,0.011291657,0.0008430438,0.000043384687],"about_ca_topic_score_codex":0.014599293,"about_ca_topic_score_gemma":0.011046919,"teacher_disagreement_score":0.014599293,"about_ca_system_score_codex":0.00058327685,"about_ca_system_score_gemma":0.0009953614,"threshold_uncertainty_score":0.029028654},"labels":[],"label_agreement":null},{"id":"W2948489228","doi":"10.1016/j.jimonfin.2019.102066","title":"Uncovered equity “disparity” in emerging markets","year":2019,"lang":"en","type":"article","venue":"Journal of International Money and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Leonard N. Stern School of Business, New York University; Keele University; Jiangxi University of Finance and Economics; University of Glasgow; York University; Durham University; New York University","keywords":"Economics; Equity (law); Emerging markets; Financial economics; Monetary economics; Macroeconomics; Political science","score_opus":0.020514098029139956,"score_gpt":0.24409421310461857,"score_spread":0.22358011507547862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948489228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997459,0.00013169822,0.00066553935,0.00032192958,0.0000075246735,0.0000033352092,0.00017399456,0.00000772196,0.001229427],"genre_scores_gemma":[0.9997545,0.000027810745,0.000053501764,0.000015623806,0.0000073706674,8.105519e-7,0.000064242355,7.965485e-7,0.0000752778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967384,0.00008351518,0.000027064327,0.000073305346,0.0000620728,0.00008019147],"domain_scores_gemma":[0.99418855,0.002888437,0.0016181321,0.00048116126,0.0004913371,0.00033243344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013544287,0.000091294154,0.00034427358,0.0007065483,0.00035863987,0.0010377177,0.00038605585,0.0004984563,0.0027073426],"category_scores_gemma":[0.014648121,0.0001239992,0.00014868726,0.000711593,0.0005108032,0.0016673013,0.00094484445,0.00072614907,0.00012294076],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007054606,0.00023059688,0.8511964,0.000093987655,0.0001651844,0.00076862844,0.00094266696,0.005886491,0.0029953353,0.093341306,0.0044681635,0.039205734],"study_design_scores_gemma":[0.00006666666,0.00015250577,0.8188513,0.000047648013,0.00012437179,0.00045335252,0.002287637,0.056237556,0.002257834,0.11441857,0.005065149,0.000037477726],"about_ca_topic_score_codex":0.0031207989,"about_ca_topic_score_gemma":0.0023962748,"teacher_disagreement_score":0.0031207989,"about_ca_system_score_codex":0.00047989748,"about_ca_system_score_gemma":0.00037936686,"threshold_uncertainty_score":0.009056926},"labels":[],"label_agreement":null},{"id":"W2948495209","doi":"10.2139/ssrn.3363331","title":"Stock Return Autocorrelations and the Cross Section of Option Returns","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Stock (firearms); Financial economics; Econometrics; Economics; Geography","score_opus":0.011422438434924964,"score_gpt":0.21498523048804963,"score_spread":0.20356279205312466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948495209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738548,0.0010220446,0.02102431,0.00045788,0.00004276544,0.000007360633,0.00023016747,0.00015210835,0.0032086628],"genre_scores_gemma":[0.9976216,0.0002353951,0.0006834808,0.000016241023,0.000050844636,0.0000037030547,0.00019875655,0.000023400591,0.0011665657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992692,0.00020086124,0.00006928893,0.00018102484,0.00015987807,0.00011970456],"domain_scores_gemma":[0.9465993,0.03973495,0.0074482597,0.0027854976,0.0023266536,0.0011053664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005321493,0.00035573033,0.0005174231,0.0022311034,0.00028934097,0.0015200105,0.00066882407,0.0009276413,0.00486627],"category_scores_gemma":[0.038820453,0.00056645845,0.00064703065,0.0019270492,0.00078406726,0.002392069,0.0008108319,0.001112724,0.0007511302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081245403,0.00031671044,0.7065914,0.00014413554,0.000774406,0.0016112246,0.0008220333,0.1077138,0.008812128,0.106777325,0.0025968077,0.0630276],"study_design_scores_gemma":[0.000038186052,0.00015785455,0.62312275,0.000049738024,0.00019988339,0.0008810614,0.00025244014,0.31295004,0.0016672645,0.059407033,0.001160594,0.00011318859],"about_ca_topic_score_codex":0.0045637367,"about_ca_topic_score_gemma":0.0048950193,"teacher_disagreement_score":0.005321493,"about_ca_system_score_codex":0.00060239603,"about_ca_system_score_gemma":0.00043468148,"threshold_uncertainty_score":0.028143048},"labels":[],"label_agreement":null},{"id":"W2949251062","doi":"10.3390/jrfm12020097","title":"Stock Investment and Excess Returns: A Critical Review in the Light of the Efficient Market Hypothesis","year":2019,"lang":"en","type":"review","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Sichuan University; National Science Foundation","keywords":"Efficient-market hypothesis; Economics; Financial economics; Capital market; Market efficiency; Stock market; Capital market line; Stock (firearms); Rationality; Value (mathematics); Investment (military); Market depth; Finance","score_opus":0.05172853105514354,"score_gpt":0.25818421691544535,"score_spread":0.20645568586030183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949251062","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000091384434,0.9991418,0.00007327178,0.00031124995,0.00008367477,0.0000017065224,0.000010556556,0.0000015504432,0.00028486006],"genre_scores_gemma":[0.0010850213,0.9982774,0.00010243979,0.00017131845,0.0002459222,0.0000032313565,0.000015415499,8.706389e-7,0.00009840974],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995245,0.000107379434,0.000114908566,0.00007975608,0.00014685612,0.00002664652],"domain_scores_gemma":[0.995815,0.0030603495,0.0004076856,0.000067007495,0.0005737047,0.00007624808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014974223,0.00083261204,0.0015201117,0.0042520305,0.00029035512,0.0015935587,0.0009595553,0.0012948994,0.003244193],"category_scores_gemma":[0.0051165805,0.00040078163,0.0008615301,0.0049554477,0.0007830219,0.0020279265,0.00066884095,0.0014807457,0.0007765838],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013457754,0.00008705061,0.0011827926,0.062803775,0.0004573276,0.0004196616,0.00021251602,0.00083152537,0.0005465621,0.016245898,0.03837721,0.8787012],"study_design_scores_gemma":[0.000027525328,0.00021486165,0.0065247305,0.04604321,0.0011281209,0.0025160175,0.00027124456,0.00036602776,0.00048244186,0.014913246,0.9274336,0.00007908964],"about_ca_topic_score_codex":0.0015371733,"about_ca_topic_score_gemma":0.0020063624,"teacher_disagreement_score":0.0042520305,"about_ca_system_score_codex":0.0008172765,"about_ca_system_score_gemma":0.0019578396,"threshold_uncertainty_score":0.010852873},"labels":[],"label_agreement":null},{"id":"W2949614345","doi":"10.2139/ssrn.1192643","title":"Intraday Patterns in the Cross-Section of Stock Returns","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Stock (firearms); Section (typography); Financial economics; Economics; Econometrics; Business; Geography; Archaeology; Advertising","score_opus":0.026493769293648967,"score_gpt":0.2286095268199865,"score_spread":0.20211575752633754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949614345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972607,0.00025755362,0.0008595861,0.00013772395,0.000009475849,0.000003849175,0.00039230686,0.00002273268,0.0010559935],"genre_scores_gemma":[0.99867827,0.00009304142,0.00019177388,0.000013390739,0.000019033983,0.0000027615254,0.00046761258,0.0000073181823,0.00052668893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997085,0.000063982065,0.000036724916,0.00009364729,0.000053004052,0.00004418142],"domain_scores_gemma":[0.9936712,0.0028553414,0.0015708858,0.00080833933,0.0007281735,0.00036619577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012116878,0.00013786415,0.0002986968,0.0012224242,0.00022550275,0.0010539457,0.0003364559,0.00067081733,0.002930554],"category_scores_gemma":[0.00862687,0.0002732935,0.00028475537,0.0013099718,0.00027638074,0.0009038597,0.0006000578,0.0006168563,0.0008930583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005946119,0.00016479538,0.9523956,0.000054982025,0.00030251307,0.00042399083,0.0006021443,0.0050392314,0.0079234475,0.0060823876,0.0022180432,0.024198232],"study_design_scores_gemma":[0.000008315692,0.000044882363,0.9880372,0.000008464223,0.000035332974,0.0002525764,0.00014820429,0.008533722,0.000463556,0.001804736,0.00065048214,0.000012549723],"about_ca_topic_score_codex":0.0017737251,"about_ca_topic_score_gemma":0.0024561489,"teacher_disagreement_score":0.002930554,"about_ca_system_score_codex":0.0002639581,"about_ca_system_score_gemma":0.00010134193,"threshold_uncertainty_score":0.009803653},"labels":[],"label_agreement":null},{"id":"W2950831182","doi":"10.2139/ssrn.3075819","title":"Time-Consistent Mean-Variance Portfolio Optimization: A Numerical 2 Impulse Control Approach","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Portfolio optimization; Impulse control; Portfolio; Variance (accounting); Impulse (physics); Mathematics; Econometrics; Computer science; Economics; Financial economics; Physics; Medicine","score_opus":0.013824363603357436,"score_gpt":0.20656253166908156,"score_spread":0.19273816806572414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950831182","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018813152,0.00048002513,0.96963465,0.00090105075,0.0001677818,0.00005127784,0.00008682551,0.00021637336,0.009648844],"genre_scores_gemma":[0.7824928,0.00056933064,0.19752832,0.0006116583,0.00040409065,0.00039348475,0.00026849416,0.00027704984,0.017454749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991774,0.00049814134,0.000029412786,0.00009567042,0.00012082345,0.00007855446],"domain_scores_gemma":[0.99417686,0.0047033546,0.0003372584,0.00019382381,0.00042256073,0.00016613907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030881546,0.0011762298,0.0022683558,0.0011467787,0.0007210459,0.00236848,0.0018262768,0.0046945475,0.0054368763],"category_scores_gemma":[0.013152886,0.0013215522,0.0013776912,0.0010862863,0.0020608893,0.0019378085,0.0021360363,0.0026319732,0.00047915376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036922444,0.000029886281,0.000179026,0.00002919185,0.000036859747,0.000040775125,0.000019205927,0.9769001,0.00015479763,0.01952498,0.0003534394,0.0026948247],"study_design_scores_gemma":[0.0000063678776,0.000003545458,0.000014926636,0.0000025049494,0.0000031223724,0.0000025442826,0.0000016702322,0.9973149,0.000021549322,0.0025702717,0.00005587891,0.0000027214708],"about_ca_topic_score_codex":0.008432994,"about_ca_topic_score_gemma":0.0048607932,"teacher_disagreement_score":0.008432994,"about_ca_system_score_codex":0.0011203672,"about_ca_system_score_gemma":0.0019715559,"threshold_uncertainty_score":0.018188119},"labels":[],"label_agreement":null},{"id":"W2951268102","doi":"10.2139/ssrn.4505010","title":"Familiarity and Surprises in International Financial Markets","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Financial market; Business; Financial system; Economics; Finance; Financial economics","score_opus":0.015978708717296786,"score_gpt":0.21646468110403597,"score_spread":0.20048597238673918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951268102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847574,0.0012566316,0.0045204,0.001219551,0.00004844545,0.000008853793,0.00009237969,0.00004702871,0.008049217],"genre_scores_gemma":[0.9990121,0.00018146617,0.00010900369,0.00004058579,0.00008023176,0.0000026949585,0.000030306725,0.000005369275,0.0005382282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994072,0.00022741224,0.000054738128,0.000099661636,0.00011629412,0.00009480838],"domain_scores_gemma":[0.9572956,0.030032597,0.0075001735,0.0012815772,0.0013010527,0.002588909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024286231,0.000194585,0.00065478025,0.0008086032,0.0004225965,0.002594569,0.00038539217,0.001213381,0.0077197244],"category_scores_gemma":[0.044793714,0.00022834288,0.00035229718,0.00071295846,0.0011707346,0.004561095,0.0011673172,0.0014756373,0.0005711031],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030362091,0.00094168214,0.6575554,0.00038875258,0.0004405041,0.0040816935,0.005038621,0.025080914,0.0035082006,0.1637806,0.009744282,0.12640318],"study_design_scores_gemma":[0.00021388243,0.001186527,0.55977786,0.0000829915,0.00028660765,0.0023764225,0.0049292115,0.06259592,0.0008356695,0.3638937,0.003645473,0.00017568514],"about_ca_topic_score_codex":0.0011537117,"about_ca_topic_score_gemma":0.00072609406,"teacher_disagreement_score":0.0077197244,"about_ca_system_score_codex":0.00051000796,"about_ca_system_score_gemma":0.00023369178,"threshold_uncertainty_score":0.025825083},"labels":[],"label_agreement":null},{"id":"W2951379607","doi":"10.2139/ssrn.462120","title":"Firm-Specific Variation and Openness in Emerging Markets","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Openness to experience; Emerging markets; Variation (astronomy); Economics; Stock (firearms); Monetary economics; Capital market; Stock market; Finance","score_opus":0.014384243700716705,"score_gpt":0.2005859329975392,"score_spread":0.18620168929682251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951379607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99810994,0.00023542679,0.0006313616,0.00013222666,0.000005483231,0.0000022724596,0.000083620886,0.0000087069575,0.0007909501],"genre_scores_gemma":[0.9997371,0.00004134141,0.00003535545,0.000006704249,0.000007353429,7.176134e-7,0.00006402857,0.0000016651836,0.000105741994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949026,0.00015941614,0.000052079144,0.00011823156,0.000056849705,0.00012320721],"domain_scores_gemma":[0.97566664,0.014503723,0.0060298047,0.0015356628,0.0006828573,0.0015813456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021149435,0.00013717139,0.00045805544,0.0012041683,0.00042708108,0.0019422948,0.00043245274,0.0007952535,0.0029144583],"category_scores_gemma":[0.014619441,0.00017245741,0.00047977973,0.0015070596,0.0010843467,0.0019959526,0.0012568735,0.0011098789,0.00023210653],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029761955,0.00008629793,0.9776759,0.000020906398,0.0002536909,0.00043344873,0.0004942686,0.0051042675,0.0006160061,0.007688153,0.0004392705,0.00689016],"study_design_scores_gemma":[0.000019715597,0.000062946274,0.96528363,0.000014880551,0.00008471979,0.00034840344,0.00076011824,0.0108358,0.00022835657,0.021777544,0.00056155963,0.000022392212],"about_ca_topic_score_codex":0.003205272,"about_ca_topic_score_gemma":0.0042317864,"teacher_disagreement_score":0.003205272,"about_ca_system_score_codex":0.0003997329,"about_ca_system_score_gemma":0.00017469168,"threshold_uncertainty_score":0.01118499},"labels":[],"label_agreement":null},{"id":"W2951422587","doi":"10.2139/ssrn.2747307","title":"Equity is Cheap for Large Financial Institutions: The International Evidence","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Business; Equity (law); Financial system; Finance; Accounting; Political science","score_opus":0.07244763215109766,"score_gpt":0.29446073128637534,"score_spread":0.22201309913527767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951422587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87859935,0.018459925,0.0016944142,0.022737911,0.00019473473,0.00002819789,0.0014365339,0.00008077394,0.076768324],"genre_scores_gemma":[0.9935429,0.0028834287,0.0001849055,0.0009460951,0.0004159437,0.0000045799516,0.0003041708,0.000020914435,0.0016971055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877125,0.0002349951,0.00008821271,0.00021640981,0.0003503461,0.00033865025],"domain_scores_gemma":[0.9157657,0.04056349,0.031889476,0.0041690203,0.0035324767,0.004079846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003054439,0.0003028882,0.00065350626,0.0016662397,0.0008648896,0.0051332465,0.0008321139,0.0019066292,0.019169537],"category_scores_gemma":[0.025418175,0.00025707702,0.0005035455,0.0019307451,0.0030850088,0.005263753,0.0016197846,0.0020848787,0.0011696251],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003753001,0.0006139017,0.7389588,0.0011418816,0.001215282,0.00093220006,0.0021441737,0.0011843549,0.0013548551,0.08689237,0.028698083,0.13311103],"study_design_scores_gemma":[0.00047287528,0.00042339668,0.89521825,0.0007953701,0.0011619565,0.0011611435,0.00487065,0.0012677402,0.0027069028,0.05347673,0.038346555,0.00009845183],"about_ca_topic_score_codex":0.005014222,"about_ca_topic_score_gemma":0.006004088,"teacher_disagreement_score":0.019169537,"about_ca_system_score_codex":0.0008403195,"about_ca_system_score_gemma":0.00059802295,"threshold_uncertainty_score":0.06412852},"labels":[],"label_agreement":null},{"id":"W2952307489","doi":"10.2139/ssrn.2787112","title":"Investorss Interacting Demand and Supply Curves for Common Stocks","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Supply and demand; Business; Economics; Microeconomics","score_opus":0.03752860632919163,"score_gpt":0.24781506446476334,"score_spread":0.2102864581355717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952307489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9502831,0.000303085,0.0334949,0.0024913494,0.00002093108,0.000030003499,0.00083129486,0.00012272222,0.012422538],"genre_scores_gemma":[0.99376994,0.00014233831,0.00141003,0.00006460554,0.000017650285,0.00001144703,0.0002069859,0.000019678133,0.0043571624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99967194,0.0001070572,0.000021979235,0.00007256894,0.00005969301,0.00006682821],"domain_scores_gemma":[0.99113256,0.0067085056,0.0010074056,0.00033717707,0.00044047346,0.0003738745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016893753,0.00034803658,0.00081521523,0.0009336353,0.00032955746,0.0022598107,0.00097216683,0.0022074957,0.009399243],"category_scores_gemma":[0.017538406,0.00064740225,0.00083410216,0.0006947996,0.0007935809,0.003756529,0.0010998605,0.0013384962,0.0007927109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071448565,0.00019654774,0.07259785,0.0002928036,0.00022429445,0.0014341258,0.0012606767,0.4588065,0.010719215,0.409961,0.0073871063,0.036405407],"study_design_scores_gemma":[0.000089327645,0.00007881995,0.019527568,0.000027174243,0.000061511266,0.00041091893,0.0005441526,0.84311527,0.0008475786,0.13396992,0.001233503,0.00009422821],"about_ca_topic_score_codex":0.007080997,"about_ca_topic_score_gemma":0.005297858,"teacher_disagreement_score":0.009399243,"about_ca_system_score_codex":0.0013470786,"about_ca_system_score_gemma":0.00048115433,"threshold_uncertainty_score":0.031443596},"labels":[],"label_agreement":null},{"id":"W2952895813","doi":"10.2139/ssrn.2863243","title":"Event Study on the Reaction of Stock Returns to Acquisition News","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; TD Bank Group","funders":"","keywords":"Event study; Stock (firearms); Event (particle physics); Business; Financial economics; Monetary economics; Economics; History; Physics","score_opus":0.024578561130470265,"score_gpt":0.23601249699410465,"score_spread":0.21143393586363438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952895813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976113,0.00005983027,0.00020696249,0.00007667471,0.000033802327,0.00002253482,0.00031759028,0.000012026826,0.0016593063],"genre_scores_gemma":[0.9987219,0.00005222445,0.0000863361,0.000034122517,0.00006279271,0.000007646201,0.00043740452,0.0000045333572,0.0005929644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995778,0.0001655179,0.00004244843,0.000053452124,0.000098449265,0.00006231345],"domain_scores_gemma":[0.98956394,0.007001546,0.0015177364,0.00044255122,0.00059956574,0.00087459804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010892309,0.00021971736,0.00027269902,0.00089423003,0.0002905085,0.0007877009,0.00024187118,0.00061488524,0.0036777994],"category_scores_gemma":[0.0075245984,0.00009100523,0.0002940491,0.0008927687,0.00020971206,0.00039245703,0.00038380586,0.00075249723,0.00061960856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011393711,0.0033750387,0.9091244,0.00019944286,0.00056776876,0.0034852603,0.0018937504,0.004083577,0.019416394,0.0029510974,0.0045518638,0.03895763],"study_design_scores_gemma":[0.00012362038,0.001868558,0.98091996,0.000013528851,0.00015688302,0.0005648705,0.000950222,0.010648393,0.002319711,0.0005432827,0.0018549832,0.000036073703],"about_ca_topic_score_codex":0.0018120764,"about_ca_topic_score_gemma":0.0012931204,"teacher_disagreement_score":0.0036777994,"about_ca_system_score_codex":0.00018972736,"about_ca_system_score_gemma":0.00011901881,"threshold_uncertainty_score":0.012303412},"labels":[],"label_agreement":null},{"id":"W2953230249","doi":"10.1287/orsc.2018.1259","title":"One Step Forward, Two Steps Back: How Negative External Evaluations Can Shorten Organizational Time Horizons","year":2019,"lang":"en","type":"article","venue":"Organization Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Operationalization; New horizons; Context (archaeology); Organizational theory; Cognition; Organizational learning; Organizational behavior; Earnings; Time horizon; Business; Economics; Psychology; Finance; Management; Epistemology","score_opus":0.022140865379497464,"score_gpt":0.2316739057308516,"score_spread":0.20953304035135412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953230249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9305297,0.001165918,0.0072730393,0.013079809,0.00018110682,0.0000442718,0.00025747935,0.00005989917,0.04740867],"genre_scores_gemma":[0.9974252,0.00014443907,0.000891788,0.00034953342,0.000045205623,0.000011128305,0.000043678952,0.000015660773,0.0010733561],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824214,0.00069428986,0.00009617391,0.00029270037,0.00037214858,0.00030255955],"domain_scores_gemma":[0.96565574,0.013789801,0.01245487,0.0022170336,0.0022020706,0.0036805396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046035964,0.00032594134,0.00030195547,0.0009136791,0.0009112291,0.0046545644,0.00046540267,0.00089234265,0.00822299],"category_scores_gemma":[0.02887023,0.00022291292,0.00038820412,0.0007580124,0.002031802,0.004759112,0.0018943946,0.0021715167,0.0005932019],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016846652,0.0010697412,0.609083,0.0005067307,0.00038317504,0.000567038,0.026216423,0.003266541,0.009282969,0.12136377,0.006627602,0.21994841],"study_design_scores_gemma":[0.00009943043,0.000764238,0.8904732,0.00028385478,0.0001602807,0.0001919881,0.011908485,0.0022332317,0.002758599,0.07961122,0.011379607,0.00013589543],"about_ca_topic_score_codex":0.0028796801,"about_ca_topic_score_gemma":0.003948648,"teacher_disagreement_score":0.00822299,"about_ca_system_score_codex":0.0012237675,"about_ca_system_score_gemma":0.0013141788,"threshold_uncertainty_score":0.027508676},"labels":[],"label_agreement":null},{"id":"W2953325478","doi":"10.2139/ssrn.2882299","title":"Prepayment Risk and Expected MBS Returns","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Prepayment of loan; Business; Financial economics; Econometrics; Actuarial science; Computer science; Economics; Finance","score_opus":0.015806679318930667,"score_gpt":0.21578169719997822,"score_spread":0.19997501788104755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953325478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98185366,0.002106981,0.0110798245,0.0009768604,0.00004079514,0.000015227,0.00029576884,0.00006934883,0.003561468],"genre_scores_gemma":[0.99678314,0.00033262747,0.00031870324,0.000018892044,0.000041483716,0.0000033080655,0.00010779396,0.000008099735,0.0023860268],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996166,0.00009307121,0.000045771187,0.00007761906,0.0000829694,0.000083999956],"domain_scores_gemma":[0.9838345,0.008824373,0.005043216,0.00067905354,0.0006883592,0.0009304444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015833224,0.0004148038,0.00045002508,0.00070670753,0.00019091781,0.0020341866,0.0005802645,0.0012311296,0.0071329824],"category_scores_gemma":[0.023283573,0.00034242513,0.0005553905,0.00049114943,0.00060785573,0.0025828418,0.000565663,0.001664025,0.0008285192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040819836,0.0007199723,0.6084906,0.0003228485,0.00061774015,0.004099625,0.0008496876,0.12706542,0.010291762,0.15593824,0.0043714927,0.08315061],"study_design_scores_gemma":[0.00011678485,0.0013418691,0.51487255,0.00011861478,0.00046153288,0.0033309276,0.0006139553,0.33762428,0.0057692653,0.13228169,0.0033277222,0.00014078776],"about_ca_topic_score_codex":0.0011257104,"about_ca_topic_score_gemma":0.0009782657,"teacher_disagreement_score":0.0071329824,"about_ca_system_score_codex":0.0006482132,"about_ca_system_score_gemma":0.00026751214,"threshold_uncertainty_score":0.023862183},"labels":[],"label_agreement":null},{"id":"W2953397337","doi":"10.5430/afr.v8n3p72","title":"Predicting Short-term Market Returns and Volatility Using Index of Consumer Sentiment","year":2019,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predictive power; Economics; Econometrics; Volatility (finance); Index (typography); Market sentiment; Volatility clustering; Autoregressive conditional heteroskedasticity; Stock market index; Financial economics; Leverage effect; Stock market; Leverage (statistics); Monetary economics; Statistics; Mathematics; Computer science","score_opus":0.0615212215303618,"score_gpt":0.29900340336902853,"score_spread":0.23748218183866673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953397337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969542,0.0001672567,0.0011606058,0.000106475854,0.000012784178,0.000010417677,0.0004000018,0.0000416806,0.0011464604],"genre_scores_gemma":[0.9985024,0.00013910705,0.00045485861,0.000010063445,0.000017760876,0.0000032167156,0.0005613735,0.000002778854,0.00030845447],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998253,0.00003595291,0.000015027349,0.000029365103,0.000056869307,0.000037518766],"domain_scores_gemma":[0.999087,0.00034317386,0.00028725923,0.00004993883,0.00015258172,0.00008005517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044364942,0.0003293467,0.0002500048,0.001023271,0.00010740742,0.00080732664,0.00016109971,0.00031473459,0.0010599435],"category_scores_gemma":[0.0022944598,0.0001193047,0.0003073824,0.00075961597,0.000105616935,0.00041876294,0.00020698931,0.00036219694,0.0003173696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016166717,0.00015395231,0.96354693,0.000033286582,0.00012217833,0.00017726055,0.000054253287,0.007406386,0.0026057514,0.0002886069,0.0007221719,0.024727616],"study_design_scores_gemma":[0.000011139414,0.00021005787,0.85489583,0.000018826619,0.00007249187,0.00013200963,0.00014921308,0.14149909,0.001824904,0.0004945112,0.00067085377,0.000021082198],"about_ca_topic_score_codex":0.006408978,"about_ca_topic_score_gemma":0.005694845,"teacher_disagreement_score":0.006408978,"about_ca_system_score_codex":0.0002169698,"about_ca_system_score_gemma":0.00024877457,"threshold_uncertainty_score":0.012743354},"labels":[],"label_agreement":null},{"id":"W2953661822","doi":"10.3390/jrfm12030108","title":"The Outperformance Probability of Mutual Funds","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Estimator; Econometrics; Mutual fund; Mutual information; Economics; Computer science; Mathematics; Statistics; Finance","score_opus":0.012618389208776995,"score_gpt":0.18516276274257928,"score_spread":0.17254437353380228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953661822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9093002,0.0015175365,0.0776803,0.0009323414,0.000076770055,0.000039707218,0.00018429112,0.00013788295,0.010130991],"genre_scores_gemma":[0.99716395,0.0001368139,0.0021299531,0.00002112934,0.000053583997,0.000013876282,0.000043758304,0.000007501801,0.00042941194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9958811,0.0017105534,0.00038919394,0.00060746114,0.001021387,0.0003904754],"domain_scores_gemma":[0.9551895,0.025871232,0.012043541,0.0027104313,0.0024949634,0.0016903016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008487185,0.00054885657,0.0008701543,0.0020445893,0.0003978412,0.002201423,0.0008196762,0.0011793245,0.0015695415],"category_scores_gemma":[0.058732282,0.00014232488,0.00042453682,0.001151953,0.0020518387,0.003758237,0.0017389163,0.00078775524,0.00029049412],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011451137,0.00018480043,0.22671482,0.00025947925,0.0005022458,0.0007727008,0.0011144956,0.0881873,0.0069358223,0.48629528,0.002408119,0.18547982],"study_design_scores_gemma":[0.00007932066,0.0015410308,0.14355314,0.00013794721,0.00023222638,0.0014372949,0.00066086906,0.34981298,0.008680845,0.48712504,0.006504059,0.00023524865],"about_ca_topic_score_codex":0.00048701614,"about_ca_topic_score_gemma":0.0002124372,"teacher_disagreement_score":0.008487185,"about_ca_system_score_codex":0.00068145775,"about_ca_system_score_gemma":0.000386383,"threshold_uncertainty_score":0.04488504},"labels":[],"label_agreement":null},{"id":"W2953781118","doi":"10.2139/ssrn.2857674","title":"What Is the Optimal Trading Frequency in Financial Markets?","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Allocative efficiency; High-frequency trading; Common value auction; Asset (computer security); Double auction; Economics; Microeconomics; Private information retrieval; Financial market; Business; Econometrics; Financial economics; Algorithmic trading; Finance; Computer science","score_opus":0.01449218113006876,"score_gpt":0.20597175447663435,"score_spread":0.1914795733465656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953781118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8857838,0.003765679,0.09130878,0.006313625,0.00023368603,0.000028510487,0.00020110003,0.0002009041,0.012163925],"genre_scores_gemma":[0.9928109,0.00064629095,0.005754983,0.000118244876,0.00019679205,0.000010839377,0.000027069607,0.000032038584,0.0004028036],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905175,0.00043535396,0.000079178215,0.00017233539,0.00013399932,0.00012740707],"domain_scores_gemma":[0.972392,0.021920044,0.0030662618,0.0007140806,0.0009152569,0.0009923307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026280107,0.00033823727,0.0010701622,0.0009790154,0.0004090064,0.0027972362,0.0008080104,0.0023443399,0.0026643963],"category_scores_gemma":[0.03850923,0.0005749673,0.00033901012,0.00073977775,0.0013009221,0.006048677,0.000577986,0.0010866915,0.00051653956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021542797,0.0011076883,0.07441411,0.0012927812,0.00066671334,0.0009985848,0.00080816314,0.191997,0.024576768,0.35292053,0.010544618,0.33851877],"study_design_scores_gemma":[0.00022538046,0.00018315142,0.020875653,0.00013244052,0.000111601636,0.0008752328,0.0007051393,0.3017664,0.0025209985,0.6710666,0.0014539374,0.000083468425],"about_ca_topic_score_codex":0.00061584596,"about_ca_topic_score_gemma":0.00054709456,"teacher_disagreement_score":0.0027972362,"about_ca_system_score_codex":0.0005557201,"about_ca_system_score_gemma":0.00068112725,"threshold_uncertainty_score":0.013898432},"labels":[],"label_agreement":null},{"id":"W2953856022","doi":"10.3917/ecofi.133.0199","title":"Prime de risque et prix du risque sur les actions","year":2019,"lang":"fr","type":"article","venue":"Revue d économie financière","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.039852830656863375,"score_gpt":0.216111052373638,"score_spread":0.17625822171677463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953856022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47281975,0.023158247,0.17820445,0.02125052,0.0012419879,0.00033285725,0.0053316006,0.0007438692,0.29691672],"genre_scores_gemma":[0.9192272,0.005499613,0.0069323666,0.00043307233,0.00036165197,0.00011015565,0.00066298974,0.00008054258,0.066692516],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989349,0.00023839221,0.000051271694,0.00028406674,0.00031105525,0.00018030382],"domain_scores_gemma":[0.99533385,0.002133494,0.0012499393,0.0002818242,0.00066758954,0.00033344733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024306583,0.00075552333,0.0007031306,0.00096811977,0.000598464,0.0035353114,0.0008259069,0.0016221674,0.023081016],"category_scores_gemma":[0.010140549,0.00046054705,0.00074692426,0.0007133707,0.0014247877,0.0028561265,0.0012753535,0.0027244072,0.0030753126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058988144,0.00015537906,0.051599048,0.00070579443,0.00024290323,0.00066387845,0.0015655822,0.07522724,0.004444058,0.6918176,0.016575959,0.15641266],"study_design_scores_gemma":[0.00013200323,0.0008136548,0.16102572,0.00088383787,0.0004227795,0.0015578552,0.0014734924,0.09270381,0.003874723,0.5525142,0.18437773,0.0002202612],"about_ca_topic_score_codex":0.0052790446,"about_ca_topic_score_gemma":0.004433582,"teacher_disagreement_score":0.023081016,"about_ca_system_score_codex":0.0024194643,"about_ca_system_score_gemma":0.0016333635,"threshold_uncertainty_score":0.077213645},"labels":[],"label_agreement":null},{"id":"W2954172337","doi":"10.5430/ijfr.v10n4p68","title":"Does Availability Bias Have Influence on FMCG Investors? An Empirical Study on Cognitive Dissonance, Rational Behaviour and Mental Accounting Bias","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mental accounting; Cognitive dissonance; Cognitive bias; Confirmation bias; Behavioral economics; Portfolio; Accounting research; Investment decisions; Accounting; Cognition; Psychology; Business; Economics; Actuarial science; Financial economics; Social psychology; Finance","score_opus":0.14944278958621374,"score_gpt":0.39291682109982656,"score_spread":0.24347403151361283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954172337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978809,0.00017662227,0.00012021641,0.00020742256,0.000004269955,0.00000766635,0.000014942843,0.0000013366036,0.001586669],"genre_scores_gemma":[0.9996239,0.00008811962,0.00005700151,0.000029627037,0.0000065759514,0.000002142952,0.000010708264,6.6873696e-7,0.00018129662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985336,0.0005699478,0.00010913773,0.0001439485,0.00044594723,0.00019743358],"domain_scores_gemma":[0.9845131,0.008115082,0.005458782,0.0005776985,0.00063160097,0.00070365233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001796309,0.00017732785,0.00019692178,0.0007435225,0.0003713987,0.0011619455,0.00022735508,0.00045184224,0.0022566852],"category_scores_gemma":[0.01331648,0.0001211054,0.00031602208,0.000544625,0.00069339725,0.00058905553,0.00046743185,0.0006472191,0.00015087222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013807918,0.00013677306,0.9873546,0.000026682821,0.00006227012,0.00024480687,0.0020346132,0.000097744865,0.00038526,0.00049537147,0.000083127634,0.008940758],"study_design_scores_gemma":[0.0000074375334,0.00010412704,0.99454486,0.000029176857,0.00005485116,0.00015399285,0.0028080032,0.0007802166,0.0003915095,0.0006241012,0.000491493,0.000010146783],"about_ca_topic_score_codex":0.0037931616,"about_ca_topic_score_gemma":0.0037806267,"teacher_disagreement_score":0.0037931616,"about_ca_system_score_codex":0.0004805775,"about_ca_system_score_gemma":0.0005467883,"threshold_uncertainty_score":0.0094999075},"labels":[],"label_agreement":null},{"id":"W2954198703","doi":"10.5430/ijfr.v10n4p55","title":"An Analysis of Behavioral Biases in Investment Decision-Making","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Overconfidence effect; Disposition effect; Herding; Herd behavior; Behavioral economics; Investment decisions; Loss aversion; Cognitive bias; Investment (military); Psychology; Prospect theory; Descriptive statistics; Anchoring; Confirmation bias; Actuarial science; Economics; Social psychology; Finance; Cognition; Statistics","score_opus":0.11558258963591418,"score_gpt":0.40915006356465344,"score_spread":0.2935674739287393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954198703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987412,0.000042811153,0.00047652857,0.000036121535,0.0000019071952,0.000009813164,0.00004514206,0.0000020246766,0.0006445067],"genre_scores_gemma":[0.9993685,0.000028078926,0.0004380729,0.000010041024,0.0000024279311,0.0000076174856,0.00005028994,6.3378417e-7,0.00009442655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843305,0.0008219063,0.00014342867,0.000121847115,0.00036422617,0.000115520736],"domain_scores_gemma":[0.97744787,0.0147770895,0.00502272,0.00093965133,0.0012910187,0.00052162044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028361888,0.00015426906,0.00018215338,0.0007970219,0.00020916131,0.0006903414,0.00014015939,0.00024761786,0.00092942076],"category_scores_gemma":[0.017473778,0.0000903542,0.00029017383,0.0007160041,0.00025856614,0.0004441822,0.00032103166,0.00032408469,0.00009530934],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014852181,0.0001080139,0.98314786,0.000023901473,0.000071620525,0.000045786717,0.00088965974,0.0004409214,0.00060503953,0.00031181023,0.00007059736,0.014136232],"study_design_scores_gemma":[0.0000053646704,0.00018961066,0.9920059,0.00001902601,0.00004093819,0.000095421725,0.0011039628,0.004899588,0.0005744342,0.0007343153,0.0003190884,0.000012439376],"about_ca_topic_score_codex":0.0015077428,"about_ca_topic_score_gemma":0.0020364735,"teacher_disagreement_score":0.0028361888,"about_ca_system_score_codex":0.0004173979,"about_ca_system_score_gemma":0.0004179892,"threshold_uncertainty_score":0.01499933},"labels":[],"label_agreement":null},{"id":"W2954399448","doi":"10.5539/ijef.v11n8p53","title":"Performance Appraisal of Asset Management Companies in Bangladesh","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Passive management; Closed-end fund; Open-end fund; Asset management; Business; Assets under management; Index fund; Finance; Investment management; Management fee; Fund of funds; Net asset value; Order (exchange); Target date fund; Economics; Institutional investor; Fixed asset; Corporate governance; Market liquidity; Microeconomics","score_opus":0.018694130753446565,"score_gpt":0.22468477425489158,"score_spread":0.20599064350144503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954399448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932526,0.00020172018,0.000048063444,0.00008645523,0.000003784057,0.000022341392,0.00063922175,0.000004434216,0.005741346],"genre_scores_gemma":[0.99785846,0.00019686967,0.00007546624,0.000007992338,0.0000042972697,0.000011686294,0.00038360132,0.0000010146272,0.0014606566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909055,0.0001437061,0.00016244236,0.00008790729,0.00034767776,0.0001677688],"domain_scores_gemma":[0.9970331,0.0003335741,0.0012441162,0.00005988462,0.00087985076,0.00044941533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070702855,0.00023824805,0.0001960011,0.0032820408,0.0004377488,0.00079737476,0.00022998425,0.00023844258,0.0023694378],"category_scores_gemma":[0.0025196953,0.00009374062,0.00016016142,0.0030136767,0.0003048373,0.00043378674,0.0006953978,0.00015720345,0.00070807984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011347246,0.000049629445,0.9759613,0.000065165725,0.000023101218,0.0003123707,0.0017076272,0.00024752776,0.0014628978,0.0001966859,0.00077890255,0.019081367],"study_design_scores_gemma":[0.0000019602458,0.00011115321,0.99433607,0.000013203215,0.0000064658593,0.00013122105,0.0033046056,0.00021526439,0.0003000888,0.00002676022,0.001544291,0.000008855718],"about_ca_topic_score_codex":0.014385432,"about_ca_topic_score_gemma":0.017614411,"teacher_disagreement_score":0.014385432,"about_ca_system_score_codex":0.0013861986,"about_ca_system_score_gemma":0.0005610984,"threshold_uncertainty_score":0.028603375},"labels":[],"label_agreement":null},{"id":"W2955083390","doi":"10.1093/rfs/hhx113","title":"Illiquidity Premia in the Equity Options Market","year":2017,"lang":"en","type":"preprint","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Economics; Equity (law); Financial economics; Stock (firearms); Monetary economics; Bond; Finance","score_opus":0.17094994275392117,"score_gpt":0.35932548379593204,"score_spread":0.18837554104201087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955083390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.810214,0.02802142,0.123518616,0.007788266,0.00020794729,0.00008836201,0.0010610073,0.00035260065,0.028747732],"genre_scores_gemma":[0.99178666,0.0034954627,0.0025506031,0.00012522012,0.00016119375,0.000016486132,0.00017847135,0.000019786794,0.0016661349],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994399,0.00018021614,0.00006310966,0.00009741337,0.00015181293,0.000067470864],"domain_scores_gemma":[0.99257493,0.0034128823,0.0028938001,0.00024642085,0.000544065,0.00032791455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018575806,0.00035285178,0.0004726217,0.0014471075,0.00032584532,0.0031256045,0.00046225995,0.00087805075,0.003106194],"category_scores_gemma":[0.010208168,0.00029017025,0.00029906866,0.0012190888,0.0013205041,0.0044989567,0.0007638966,0.0011870051,0.00043148734],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021879407,0.000085314234,0.027463732,0.000437915,0.00013328722,0.0006640042,0.0003836972,0.032303173,0.0039588627,0.88070947,0.0050585447,0.04858314],"study_design_scores_gemma":[0.00003185871,0.00006458392,0.017705379,0.00013538796,0.00007168846,0.00033866544,0.00016565883,0.07194436,0.0014410146,0.90160155,0.006448511,0.00005126554],"about_ca_topic_score_codex":0.0007115266,"about_ca_topic_score_gemma":0.00040086283,"teacher_disagreement_score":0.0031256045,"about_ca_system_score_codex":0.0011794599,"about_ca_system_score_gemma":0.0005473736,"threshold_uncertainty_score":0.010391295},"labels":[],"label_agreement":null},{"id":"W2955236875","doi":"10.1080/0015198x.2019.1600958","title":"In Defense of Portfolio Optimization: What If We Can Forecast?","year":2019,"lang":"en","type":"article","venue":"Financial Analysts Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Portfolio; Variance (accounting); Transaction cost; Portfolio optimization; Range (aeronautics); Sample (material); Econometrics; Computer science; Frame (networking); Economics; Database transaction; Actuarial science; Microeconomics; Financial economics; Accounting; Engineering","score_opus":0.01881234573036613,"score_gpt":0.20655708639680623,"score_spread":0.1877447406664401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955236875","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018099325,0.03407724,0.6050083,0.30896938,0.0018352221,0.0000434866,0.00017302815,0.0002677986,0.03152632],"genre_scores_gemma":[0.79547924,0.038086288,0.13214655,0.019008396,0.006674502,0.000152952,0.00019525767,0.00029242545,0.007964387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99751604,0.0014013014,0.000108161454,0.0003174007,0.00054749486,0.000109565815],"domain_scores_gemma":[0.9791805,0.016036823,0.0014852183,0.00131297,0.0015080927,0.00047635162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009067548,0.0008759275,0.0013693939,0.00065683026,0.0004901441,0.0044000857,0.0016495012,0.0028264553,0.0037921725],"category_scores_gemma":[0.047052253,0.00029215112,0.0005252826,0.00094514305,0.0033984836,0.010851299,0.0012398668,0.005383579,0.0011912612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095358264,0.000108371896,0.0023441738,0.0003613172,0.00017693208,0.00007143414,0.00019101714,0.05783119,0.00045487419,0.6816165,0.023750253,0.23299862],"study_design_scores_gemma":[0.000014405707,0.000042796342,0.0003460517,0.00020191679,0.000014783589,0.00003817688,0.00007451062,0.053505957,0.00018617294,0.936977,0.0085815545,0.00001661333],"about_ca_topic_score_codex":0.0008814394,"about_ca_topic_score_gemma":0.000653001,"teacher_disagreement_score":0.009067548,"about_ca_system_score_codex":0.00091992744,"about_ca_system_score_gemma":0.0011799566,"threshold_uncertainty_score":0.04795438},"labels":[],"label_agreement":null},{"id":"W2956347732","doi":"10.3390/jrfm12030116","title":"Modeling and Forecasting Realized Portfolio Diversification Benefits","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Diversification (marketing strategy); Portfolio; Portfolio optimization; Econometrics; Volatility (finance); Post-modern portfolio theory; Modern portfolio theory; Realized variance; Measure (data warehouse); Replicating portfolio; Computer science; Economics; Actuarial science; Financial economics; Business; Data mining; Marketing","score_opus":0.028844910542648712,"score_gpt":0.19448466756419283,"score_spread":0.16563975702154413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956347732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7149058,0.00040973182,0.28211933,0.00028695134,0.000029048755,0.000036150414,0.00028438543,0.00017176276,0.0017569144],"genre_scores_gemma":[0.9806886,0.0001499896,0.018154211,0.00001422086,0.000018029767,0.00002332402,0.000159371,0.000011454998,0.00078079844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985325,0.00003939377,0.000010001749,0.000039370636,0.000032339874,0.000025650814],"domain_scores_gemma":[0.99913543,0.0004915032,0.0001738778,0.00005583855,0.00009876211,0.000044593922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009681765,0.00057756575,0.00050854514,0.0005654077,0.00015013001,0.00077611435,0.0005507987,0.0006849601,0.0007351149],"category_scores_gemma":[0.0033541515,0.00029535446,0.00040244512,0.00053161226,0.00021631953,0.00081626856,0.000357513,0.0007437418,0.00011137714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004824915,0.000041255244,0.009230031,0.000019950568,0.000040701292,0.00008543167,0.000025845176,0.96726125,0.0017203527,0.0050568776,0.00025448017,0.01621561],"study_design_scores_gemma":[0.0000016368082,0.000006762696,0.000920347,0.0000011063734,0.0000029254825,0.0000060199677,0.0000018431812,0.99791473,0.00012973892,0.000972561,0.00004017653,0.0000020668238],"about_ca_topic_score_codex":0.0049298243,"about_ca_topic_score_gemma":0.0048713544,"teacher_disagreement_score":0.0049298243,"about_ca_system_score_codex":0.0004998401,"about_ca_system_score_gemma":0.00039333536,"threshold_uncertainty_score":0.009802222},"labels":[],"label_agreement":null},{"id":"W2959190800","doi":"10.34989/swp-2020-20","title":"Trading on Long-term Information","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Business; Sample (material); Stock (firearms); Alternative trading system; Financial market; Financial economics; Stock exchange; Algorithmic trading; Monetary economics; Value (mathematics); Institutional investor; Term (time); Economics; Finance; Corporate governance","score_opus":0.06972630730033391,"score_gpt":0.2888957944928002,"score_spread":0.21916948719246626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959190800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82140464,0.0059848875,0.10396303,0.0076862248,0.0006224441,0.00017042391,0.0059286393,0.00090773724,0.053332027],"genre_scores_gemma":[0.9853733,0.000949431,0.0053500445,0.0007194326,0.00024506144,0.000035845846,0.0014169327,0.000037267066,0.0058727283],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99855095,0.00023438402,0.00014183472,0.00026040297,0.0006432644,0.00016909117],"domain_scores_gemma":[0.9842052,0.0044926833,0.006991986,0.0024444214,0.0013495546,0.0005162263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024493134,0.00053183804,0.0005907321,0.001148361,0.00053104025,0.0040953644,0.0012441783,0.0014960626,0.008489794],"category_scores_gemma":[0.019651182,0.00039326484,0.00049335003,0.0013158376,0.001000452,0.007212215,0.0020735404,0.0015884776,0.0020651221],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018594544,0.000592774,0.37276408,0.0012031231,0.0015020707,0.002856664,0.0019670296,0.035010792,0.014814589,0.18261921,0.030451966,0.35435826],"study_design_scores_gemma":[0.00011513877,0.0014181809,0.42607254,0.00079386536,0.0007857634,0.004031758,0.0013362761,0.20407851,0.015078361,0.26110947,0.08466872,0.0005114781],"about_ca_topic_score_codex":0.002006332,"about_ca_topic_score_gemma":0.0025797114,"teacher_disagreement_score":0.008489794,"about_ca_system_score_codex":0.00086124113,"about_ca_system_score_gemma":0.00053984695,"threshold_uncertainty_score":0.028401196},"labels":[],"label_agreement":null},{"id":"W2960266161","doi":"10.1287/mnsc.2019.3423","title":"Casting Conference Calls","year":2020,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"London School of Economics and Political Science; National Science Foundation","keywords":"Accrual; Earnings; Equity (law); Business; Portfolio; Exploit; Accounting; Corporate finance; Monetary economics; Financial economics; Economics; Finance","score_opus":0.08325292309957803,"score_gpt":0.2242107732895906,"score_spread":0.14095785019001256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960266161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7959788,0.0014334265,0.021834023,0.0041115186,0.001044534,0.00037848015,0.0014144976,0.0011179688,0.17268677],"genre_scores_gemma":[0.9847867,0.00020972405,0.002806486,0.0005802452,0.00036353472,0.00006505107,0.0003962064,0.00008188058,0.010710176],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9945951,0.0017521639,0.00029887384,0.00068934093,0.0015889285,0.0010756489],"domain_scores_gemma":[0.94330305,0.027708549,0.015261191,0.006553233,0.0032660887,0.003907882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050515216,0.00045449132,0.00044342023,0.0019679572,0.0015879363,0.0047921482,0.0012009152,0.0014900451,0.016462075],"category_scores_gemma":[0.051333398,0.00029843408,0.00034436598,0.0009955472,0.0006204631,0.0023560198,0.0018304233,0.0018560463,0.0036402252],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010771606,0.0006687084,0.29188505,0.00039041368,0.00024154638,0.0018015603,0.012129296,0.0038554834,0.014562262,0.04939996,0.043035805,0.58095276],"study_design_scores_gemma":[0.0002294528,0.001226336,0.6189625,0.0005103962,0.0003664062,0.0035309198,0.017307324,0.020050835,0.019056369,0.043278392,0.27513003,0.00035099394],"about_ca_topic_score_codex":0.0019097361,"about_ca_topic_score_gemma":0.0032995387,"teacher_disagreement_score":0.016462075,"about_ca_system_score_codex":0.0009908236,"about_ca_system_score_gemma":0.0011303938,"threshold_uncertainty_score":0.055071175},"labels":[],"label_agreement":null},{"id":"W2963468203","doi":"10.33423/jabe.v21i3.2078","title":"An Examination of Cross-Market Arbitrage","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Arbitrage; Equity (law); Financial economics; Economics; Index arbitrage; Business; Monetary economics; Risk arbitrage; Capital asset pricing model; Arbitrage pricing theory","score_opus":0.014928125052543186,"score_gpt":0.20613079948936724,"score_spread":0.19120267443682407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963468203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96282995,0.0022100946,0.0046385587,0.0010050153,0.000041436942,0.000052781565,0.00019797892,0.000027372116,0.028996758],"genre_scores_gemma":[0.99823344,0.00030014457,0.0003905659,0.00008456938,0.000035625973,0.000010390208,0.00009771721,0.0000060196858,0.00084159255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975222,0.00071437535,0.00024336524,0.00033134685,0.0008265407,0.00036215852],"domain_scores_gemma":[0.9632581,0.017220177,0.013320877,0.001672165,0.0031244713,0.0014042326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045679174,0.00020502899,0.00034908997,0.0023265115,0.0010903551,0.0026172418,0.000593222,0.0010340386,0.007907923],"category_scores_gemma":[0.03337526,0.00015863076,0.0006893014,0.0025280002,0.0011359677,0.004861854,0.0027561293,0.0014734897,0.00048372342],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040734542,0.0005272764,0.80975145,0.0002264777,0.0004087516,0.001849881,0.005233832,0.0037270004,0.0018328509,0.08220998,0.0034373247,0.09038774],"study_design_scores_gemma":[0.000061572595,0.00072968425,0.85754883,0.00028694616,0.00026744333,0.0034484332,0.009819625,0.031763062,0.0019023417,0.06603844,0.028030766,0.00010294815],"about_ca_topic_score_codex":0.002610505,"about_ca_topic_score_gemma":0.0031090702,"teacher_disagreement_score":0.007907923,"about_ca_system_score_codex":0.0008642302,"about_ca_system_score_gemma":0.0006455874,"threshold_uncertainty_score":0.026454628},"labels":[],"label_agreement":null},{"id":"W2963549213","doi":"10.31235/osf.io/yc8mu_v1","title":"Liquid Speed: On-Demand Fast Trading at Distributed Exchanges","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Wilfrid Laurier University","funders":"","keywords":"Latency (audio); Market liquidity; High-frequency trading; Externality; Economic rent; Idle; Business; Monetary economics; Microeconomics; Economics; Computer science; Telecommunications","score_opus":0.04849292091929663,"score_gpt":0.2390572090334855,"score_spread":0.19056428811418888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963549213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69875294,0.00060451287,0.27453107,0.0028392277,0.00021686117,0.00008604591,0.00048243286,0.0006628785,0.021824082],"genre_scores_gemma":[0.992446,0.00009766392,0.004336556,0.000055344335,0.00003258842,0.000022115291,0.000055200802,0.000030340889,0.0029242677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99928015,0.0002598211,0.000024661533,0.00014205083,0.00011746793,0.00017585272],"domain_scores_gemma":[0.9963798,0.001772876,0.00066031975,0.0003510045,0.00030214086,0.00053391594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013381987,0.0007088126,0.00087432226,0.00049449835,0.00081122323,0.002743863,0.0016231317,0.0016397787,0.007331057],"category_scores_gemma":[0.0087833,0.00044942854,0.0006170027,0.00047161762,0.0017123073,0.00426696,0.0022045025,0.0016920448,0.0005062083],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082119036,0.00022496773,0.0045178654,0.00008169944,0.000055374585,0.0008550654,0.00017641863,0.7806106,0.0039712545,0.19263716,0.0032643443,0.01278407],"study_design_scores_gemma":[0.00008127669,0.000059012647,0.00038553923,0.00000617109,0.000008852729,0.000058205995,0.00005597808,0.9577348,0.00036807606,0.04062158,0.0006049676,0.000015540105],"about_ca_topic_score_codex":0.0039615454,"about_ca_topic_score_gemma":0.0019544323,"teacher_disagreement_score":0.007331057,"about_ca_system_score_codex":0.0013153357,"about_ca_system_score_gemma":0.00072745816,"threshold_uncertainty_score":0.024524808},"labels":[],"label_agreement":null},{"id":"W2963668979","doi":"10.12725/ujbm.48.1","title":"Evidence of Fear in Fixed Income and Bourses: A Study on Certain G-7 Economies","year":2019,"lang":"en","type":"article","venue":"Ushus - Journal of Business Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fixed effects model; Economics; Panel data; Index (typography); Fixed income; Econometrics; Stock (firearms); Stock market; Stock market index; Regression analysis; Bond; Geography; Statistics; Mathematics; Finance","score_opus":0.03875193355093268,"score_gpt":0.24135701303789583,"score_spread":0.20260507948696316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963668979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99917454,0.000047053793,0.000019307448,0.000022274786,5.315124e-7,0.0000017413515,0.000048776925,5.131858e-7,0.0006851881],"genre_scores_gemma":[0.999762,0.000054456195,0.000014296929,0.00000567597,0.0000013656628,7.8989746e-7,0.00007475576,3.2765502e-7,0.00008642741],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999806,0.000037762784,0.000013786081,0.00003131881,0.000043234137,0.000067853776],"domain_scores_gemma":[0.99872524,0.00023910098,0.00063516345,0.0000841712,0.00015230452,0.00016402653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004006357,0.000145491,0.00025547537,0.0012535547,0.0003608975,0.0008454867,0.00020655715,0.00024839013,0.0010534112],"category_scores_gemma":[0.0012497689,0.00009282327,0.00033559976,0.0009841031,0.00085023633,0.0005320573,0.0007575023,0.00039960718,0.00012790106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069553775,0.000065122236,0.9937509,0.000016575086,0.00005031724,0.000353684,0.0014189599,0.00014412508,0.00024209444,0.0008371784,0.00013643083,0.0029151062],"study_design_scores_gemma":[0.0000021565984,0.000075048505,0.99537367,0.000012149339,0.000016052873,0.000117041745,0.003358654,0.00020778034,0.00014818438,0.00013332836,0.0005507784,0.000005175448],"about_ca_topic_score_codex":0.014048818,"about_ca_topic_score_gemma":0.014146261,"teacher_disagreement_score":0.014048818,"about_ca_system_score_codex":0.00045245106,"about_ca_system_score_gemma":0.00035128905,"threshold_uncertainty_score":0.027934074},"labels":[],"label_agreement":null},{"id":"W2963891701","doi":"10.5539/ibr.v12n8p88","title":"Testing Sectoral Herding in the Jordanian Stock Market","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Stock market; Herd behavior; Financial crisis; Falling (accident); Stock exchange; Economics; Business; Financial market; Monetary economics; Investment (military); Financial economics; Finance; Macroeconomics","score_opus":0.13189869232405496,"score_gpt":0.3261188095824145,"score_spread":0.19422011725835955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963891701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99903893,0.000039866936,0.000103890125,0.00003014013,0.0000012368747,0.000009026177,0.0000501655,0.000001161893,0.000725663],"genre_scores_gemma":[0.9993223,0.000038860406,0.00022871023,0.000015900652,0.0000034662235,0.000009518095,0.00006635775,3.696173e-7,0.00031452547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937063,0.00021195406,0.00007014511,0.000085696985,0.00015923921,0.000102326296],"domain_scores_gemma":[0.9958703,0.0012770595,0.0019522322,0.00019654601,0.00046300096,0.00024095083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015410035,0.00012845462,0.00020575926,0.0007522276,0.00033727003,0.0005686426,0.0002811666,0.00023889265,0.0019149776],"category_scores_gemma":[0.004236537,0.000095792704,0.0002090698,0.0006663043,0.0003580623,0.0006333949,0.00035100768,0.00025514723,0.0001266224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055778397,0.00010630383,0.9893519,0.000029050238,0.00004005249,0.000096527096,0.0011413915,0.0002945327,0.0006440441,0.00027404944,0.00013095512,0.007835476],"study_design_scores_gemma":[0.0000027265787,0.00020848564,0.9946233,0.00001185988,0.000016903037,0.00005392881,0.002743605,0.0016202345,0.0002349512,0.00015446362,0.00032490128,0.000004741801],"about_ca_topic_score_codex":0.0045936326,"about_ca_topic_score_gemma":0.006665085,"teacher_disagreement_score":0.0045936326,"about_ca_system_score_codex":0.00060251146,"about_ca_system_score_gemma":0.00038036797,"threshold_uncertainty_score":0.009133816},"labels":[],"label_agreement":null},{"id":"W2965289940","doi":"10.1111/1911-3846.12555","title":"Bold Stock Recommendations: Informative or Worthless?","year":2019,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Rationality; Psychology; Set (abstract data type); Economics; Financial economics; Political science; Computer science","score_opus":0.15609819265661112,"score_gpt":0.3349884426519316,"score_spread":0.1788902499953205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965289940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99121195,0.0008171195,0.0026049286,0.00077816274,0.000062209365,0.00005447099,0.0005534628,0.000102738115,0.0038150386],"genre_scores_gemma":[0.9983151,0.00010430788,0.0008314643,0.00009518649,0.000070409034,0.0000058626783,0.00019778703,0.0000066736893,0.00037305884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970745,0.0007591044,0.0003327069,0.00050850713,0.0010376176,0.000287514],"domain_scores_gemma":[0.9163108,0.059048068,0.01647993,0.0035939068,0.0030053065,0.0015619609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050253132,0.0005006662,0.00064785813,0.0010816555,0.000419893,0.0021656116,0.00055861677,0.0012851518,0.0024307207],"category_scores_gemma":[0.052814633,0.0002400235,0.00034083673,0.0009536331,0.0006425287,0.0016127256,0.00051288697,0.0014552965,0.00061178824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039956565,0.000488375,0.8455463,0.00037815902,0.00097243144,0.0006619792,0.00052280986,0.013918535,0.010256494,0.0031468312,0.006646047,0.11346636],"study_design_scores_gemma":[0.00033241796,0.0012739196,0.8636995,0.00016100319,0.00069360394,0.00067207677,0.0012526612,0.10134926,0.012778863,0.011089025,0.0065301666,0.00016743888],"about_ca_topic_score_codex":0.0034296187,"about_ca_topic_score_gemma":0.005479537,"teacher_disagreement_score":0.0050253132,"about_ca_system_score_codex":0.0005078662,"about_ca_system_score_gemma":0.00041500785,"threshold_uncertainty_score":0.026576698},"labels":[],"label_agreement":null},{"id":"W2965416716","doi":"10.5539/ijef.v11n8p91","title":"Detecting and Date-Stamping Rational Bubbles in Asset Price: An Empirical Investigation in the Tunisian Stock Market","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Economics; Financial economics; Unit root; Dividend; Stock (firearms); Stock price; Econometrics; Stock market bubble; Empirical evidence; Empirical research; Monetary economics; Finance; Geography; Mathematics; Statistics; Geology","score_opus":0.03945098273626362,"score_gpt":0.2613698150486038,"score_spread":0.22191883231234016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965416716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99933416,0.00010945244,0.00020802022,0.000051053838,0.0000025341071,0.0000065480785,0.00004122489,0.000002722758,0.00024427887],"genre_scores_gemma":[0.9994455,0.000054566244,0.00023883935,0.000011607015,0.000013000109,0.000004608075,0.00009426018,0.0000011660443,0.00013647307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995369,0.00014059973,0.00004709416,0.00010314572,0.000090436086,0.000081867554],"domain_scores_gemma":[0.9952507,0.0024931976,0.0013492053,0.00021345867,0.00047914722,0.00021420237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016448605,0.0002827939,0.00036466794,0.0013858164,0.000556495,0.00093266927,0.00048205437,0.0006845585,0.0010822781],"category_scores_gemma":[0.0077564246,0.0001758329,0.00030345152,0.00089779054,0.00042650578,0.0009913868,0.00049358385,0.00055554457,0.00014276907],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036500528,0.0004141556,0.9705987,0.00005666755,0.00015994026,0.0009668067,0.0011574698,0.0028372135,0.0024724193,0.0013768988,0.00043173763,0.01916307],"study_design_scores_gemma":[0.00005874834,0.00025675716,0.94601476,0.00003626076,0.00014416981,0.00033068124,0.0020778538,0.04748334,0.0018179865,0.0006652741,0.0010887159,0.000025436153],"about_ca_topic_score_codex":0.024174044,"about_ca_topic_score_gemma":0.016807681,"teacher_disagreement_score":0.024174044,"about_ca_system_score_codex":0.0006501947,"about_ca_system_score_gemma":0.00047627997,"threshold_uncertainty_score":0.048066676},"labels":[],"label_agreement":null},{"id":"W2965836672","doi":"10.2139/ssrn.3279748","title":"Investor Demand for Leverage: Evidence from Closed-End Funds","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Closed-end fund; Leverage (statistics); Business; Monetary economics; Financial system; Finance; Financial economics; Economics; Market liquidity; Computer science","score_opus":0.0425115612580767,"score_gpt":0.24502920771558362,"score_spread":0.20251764645750692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965836672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993885,0.0007162726,0.00030069792,0.00045900088,0.0000066530147,0.000008048697,0.00048132477,0.0000104111,0.004132686],"genre_scores_gemma":[0.9981369,0.0002817927,0.000057894402,0.000053640575,0.000031688895,0.0000057569696,0.00052165124,0.000004295293,0.0009063729],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911624,0.00024448725,0.00008539619,0.00013843481,0.00021014885,0.00020535712],"domain_scores_gemma":[0.9519771,0.027817221,0.014449191,0.0020762018,0.0017676171,0.0019127004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024063245,0.00030535823,0.0006847506,0.0010960872,0.0004905103,0.0024435483,0.00080574723,0.0017812389,0.0073426664],"category_scores_gemma":[0.029903274,0.00026082277,0.00036575837,0.0010304545,0.00072422886,0.0024098277,0.0010426998,0.0010836605,0.0010471242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007104747,0.0014640075,0.9196713,0.00024063795,0.00037828306,0.0011348515,0.0013065734,0.0020889658,0.002834697,0.011917422,0.0047357953,0.04712265],"study_design_scores_gemma":[0.0005283844,0.0011614412,0.9677981,0.00012514589,0.0003851068,0.0008572174,0.0015769665,0.003795127,0.003496535,0.012822481,0.007390487,0.00006291638],"about_ca_topic_score_codex":0.002171591,"about_ca_topic_score_gemma":0.0022413414,"teacher_disagreement_score":0.0073426664,"about_ca_system_score_codex":0.000536686,"about_ca_system_score_gemma":0.00030739824,"threshold_uncertainty_score":0.02456367},"labels":[],"label_agreement":null},{"id":"W2966526170","doi":"10.2139/ssrn.3406071","title":"Follow the Leader: Index Tracking with Factor Models","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Index (typography); Factor (programming language); Computer science; Programming language","score_opus":0.026361314750227037,"score_gpt":0.1961372909448898,"score_spread":0.16977597619466275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966526170","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049667265,0.0009284053,0.9417793,0.001067515,0.0002015994,0.0000599307,0.00039100787,0.00096428796,0.0049407007],"genre_scores_gemma":[0.8397203,0.0008766518,0.14017376,0.0002673075,0.0003736956,0.00009108862,0.0009708135,0.00040368192,0.017122636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834645,0.00074844057,0.00006119325,0.0005258703,0.00015827324,0.00015973409],"domain_scores_gemma":[0.980229,0.014646145,0.0016771666,0.0021499814,0.00088126503,0.00041629124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064813844,0.0010594039,0.0019271041,0.0018002506,0.0009687205,0.0032274367,0.0019520816,0.0029559163,0.0078624105],"category_scores_gemma":[0.044709902,0.0013301515,0.0011532068,0.0023890713,0.0013034975,0.00669165,0.0019116164,0.002227986,0.002447933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000530484,0.00017088937,0.011352247,0.00014737794,0.00022473611,0.00028886012,0.00030439638,0.74169654,0.0006426813,0.09276415,0.009145732,0.14273189],"study_design_scores_gemma":[0.000015869478,0.000015976764,0.0003521103,0.000011349119,0.0000131346715,0.00001911231,0.000011455575,0.9631199,0.00013264574,0.03574955,0.0005465575,0.000012301776],"about_ca_topic_score_codex":0.012143245,"about_ca_topic_score_gemma":0.0086416975,"teacher_disagreement_score":0.012143245,"about_ca_system_score_codex":0.0008577736,"about_ca_system_score_gemma":0.00093863416,"threshold_uncertainty_score":0.0342772},"labels":[],"label_agreement":null},{"id":"W2967352104","doi":"10.2139/ssrn.3364309","title":"Tax Risk and Asset Prices: Evidence from Dual-class Corporate Bonds in the Early 19th Century","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Taxable income; Bond; Monetary economics; Asset (computer security); Business; Financial economics; Economics; Finance; Accounting","score_opus":0.021146559278546535,"score_gpt":0.20303560906483467,"score_spread":0.18188904978628814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967352104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873366,0.0027199283,0.00014129904,0.00069662207,0.0000133126905,0.000002841391,0.00016678448,0.0000016770684,0.008920939],"genre_scores_gemma":[0.9964508,0.0018267157,0.00004983719,0.00005082086,0.000024378536,0.0000013132378,0.00016559787,0.0000027826127,0.001427867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965703,0.000076817145,0.000028701896,0.00006349614,0.00009745182,0.000076406744],"domain_scores_gemma":[0.99384177,0.0021443581,0.002543321,0.00032592652,0.00071020995,0.000434422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011508245,0.00015457725,0.00028421052,0.001106973,0.00073147484,0.0021363024,0.00036651862,0.0007829753,0.0050039794],"category_scores_gemma":[0.010702317,0.00021325587,0.00013419424,0.0017298738,0.0013906492,0.0015019043,0.00090840703,0.0013798454,0.00038599607],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019925854,0.00071608066,0.7992539,0.00019059631,0.00027526077,0.0011719092,0.013834036,0.0010487287,0.0014092263,0.08388173,0.0035103152,0.092715636],"study_design_scores_gemma":[0.00008281237,0.00015453412,0.96284354,0.00016978937,0.00011585434,0.00060487987,0.0042971587,0.0006764149,0.0007548062,0.014550444,0.015722416,0.000027306329],"about_ca_topic_score_codex":0.013032581,"about_ca_topic_score_gemma":0.014735057,"teacher_disagreement_score":0.013032581,"about_ca_system_score_codex":0.0007241695,"about_ca_system_score_gemma":0.00030680562,"threshold_uncertainty_score":0.025913477},"labels":[],"label_agreement":null},{"id":"W2968564081","doi":"10.5430/ijfr.v10n6p1","title":"The Interaction of Market Risk and Idiosyncratic Risk on Equity Mutual Fund Returns","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Systematic risk; Private equity fund; Diversification (marketing strategy); Business; Fund of funds; Closed-end fund; Open-end fund; Equity (law); Financial economics; Target date fund; Economics; Finance; Institutional investor; Private equity","score_opus":0.09254014168158907,"score_gpt":0.3600392883106955,"score_spread":0.2674991466291064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968564081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99780065,0.00019443255,0.0005842126,0.000112374175,0.0000026979872,0.0000050769663,0.000045036668,0.0000075301086,0.0012480365],"genre_scores_gemma":[0.9995746,0.00006185227,0.00010465703,0.000005513563,0.0000045964284,0.0000017907124,0.00001983852,0.000001214118,0.0002257494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986265,0.00052492507,0.00014198323,0.00014534777,0.00035247483,0.00020880875],"domain_scores_gemma":[0.98014957,0.010544675,0.007334409,0.000620502,0.00071824214,0.0006325831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016913901,0.00032322563,0.00034120004,0.00096967525,0.00020983667,0.0014639477,0.00023248701,0.00047036077,0.001450329],"category_scores_gemma":[0.012534109,0.00016942466,0.0006096727,0.00066004286,0.00047391173,0.0012267202,0.00094931753,0.000670904,0.00020615084],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014720358,0.00007586271,0.9822123,0.000031378237,0.00018959193,0.00034201128,0.00026224117,0.0037186488,0.00056782766,0.0017628216,0.000083501756,0.010606602],"study_design_scores_gemma":[0.0000059993818,0.000148578,0.9860141,0.000020135552,0.00012876958,0.00023838124,0.0003667606,0.010473536,0.00067408883,0.0015437081,0.0003648939,0.000021135635],"about_ca_topic_score_codex":0.0027756062,"about_ca_topic_score_gemma":0.0034642038,"teacher_disagreement_score":0.0027756062,"about_ca_system_score_codex":0.00062636816,"about_ca_system_score_gemma":0.0005451784,"threshold_uncertainty_score":0.008944988},"labels":[],"label_agreement":null},{"id":"W2969926078","doi":"10.5430/afr.v8n3p176","title":"A New Approach in Event Studies: Time Varied Analysis","year":2019,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Explanatory power; Heteroscedasticity; Econometrics; Stock (firearms); Economics; Stock market; Macro; Asynchronous communication; Predictive power; Computer science; Engineering","score_opus":0.07949514205888603,"score_gpt":0.318320441565969,"score_spread":0.23882529950708298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969926078","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004141381,0.0006857182,0.9925321,0.00026232906,0.00011421444,0.000051888903,0.000114196795,0.00007461926,0.0020235574],"genre_scores_gemma":[0.539626,0.00342875,0.44660816,0.0006272247,0.0016842576,0.0008664815,0.0006402306,0.00029255368,0.0062263454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957765,0.0025408256,0.00017350804,0.0008676382,0.0004786783,0.00016297674],"domain_scores_gemma":[0.981311,0.015107501,0.0009963028,0.0015796495,0.0006590327,0.00034635293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056388276,0.0011926896,0.0013312161,0.0026673833,0.0005892119,0.0025930824,0.0030535185,0.0017139358,0.0060356357],"category_scores_gemma":[0.024222696,0.0005159992,0.0021080633,0.002716994,0.0017572406,0.004346699,0.002167137,0.0028895151,0.00083917676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011670083,0.00014983227,0.0061814124,0.00028900016,0.00037693197,0.0003272082,0.0005795757,0.090915754,0.0015859685,0.83164704,0.0019301409,0.065900475],"study_design_scores_gemma":[0.000036785063,0.00011752544,0.0018006067,0.0000613871,0.000104940904,0.0001796282,0.00018024357,0.60790664,0.00036689226,0.37743044,0.011758971,0.000055832967],"about_ca_topic_score_codex":0.0025360521,"about_ca_topic_score_gemma":0.0010230741,"teacher_disagreement_score":0.0060356357,"about_ca_system_score_codex":0.0010755755,"about_ca_system_score_gemma":0.0010007956,"threshold_uncertainty_score":0.029821277},"labels":[],"label_agreement":null},{"id":"W2971416200","doi":"10.2139/ssrn.3442539","title":"Explaining the Demise of Value Investing","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Demise; Value (mathematics); Economics; Financial economics; Econometrics; Business; Mathematics; Statistics; Political science; Law","score_opus":0.017728174550932514,"score_gpt":0.20323059329558243,"score_spread":0.18550241874464993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971416200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7422242,0.0020839178,0.0200556,0.03132721,0.00021905865,0.000050817845,0.0005355104,0.00028379174,0.20321985],"genre_scores_gemma":[0.9899204,0.00039457707,0.0008091804,0.00026685462,0.000044357846,0.000007281085,0.00006382378,0.000039017934,0.008454528],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998104,0.000037679238,0.0000065350437,0.000043816945,0.000027365319,0.0000742071],"domain_scores_gemma":[0.9985638,0.0005228949,0.00028235128,0.00027649957,0.00016259719,0.00019179765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010584071,0.00016763709,0.00020688749,0.00057866477,0.0006592941,0.0025721267,0.0006140288,0.0016905916,0.012680993],"category_scores_gemma":[0.0056880317,0.00018800149,0.00024727482,0.00048769556,0.0023448116,0.0031472533,0.0010735258,0.0023361715,0.0008737235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007801693,0.000029473831,0.010822157,0.000032668613,0.00001081153,0.0005524058,0.0015360988,0.0076223267,0.00083076756,0.9464372,0.0098161455,0.02223196],"study_design_scores_gemma":[0.00003206589,0.000031950996,0.017013289,0.00006171415,0.000009067799,0.00027435433,0.0013583996,0.024284052,0.00074544665,0.9135317,0.04263225,0.000025799452],"about_ca_topic_score_codex":0.006363157,"about_ca_topic_score_gemma":0.006479401,"teacher_disagreement_score":0.012680993,"about_ca_system_score_codex":0.0018213859,"about_ca_system_score_gemma":0.00070152397,"threshold_uncertainty_score":0.042422175},"labels":[],"label_agreement":null},{"id":"W2971464076","doi":"10.22215/etd/2015-11066","title":"Three Essays on Stock Exchange Demutualization and Mergers","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Stock exchange; Shareholder; Competitor analysis; Business; Stock market; Market maker; Monetary economics; Database transaction; Primary market; Stock (firearms); Financial system; Economics; Finance; Corporate governance; Marketing","score_opus":0.05357940204512472,"score_gpt":0.25293878918447066,"score_spread":0.19935938713934592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971464076","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16427848,0.10386925,0.0134766605,0.29066557,0.02594389,0.00022140358,0.0005787777,0.0001427879,0.40082318],"genre_scores_gemma":[0.6193297,0.08887447,0.006017028,0.049560733,0.028038196,0.0003262141,0.0005916051,0.00016428067,0.20709766],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990553,0.00019243083,0.000060660106,0.00013383455,0.00042654306,0.00013132558],"domain_scores_gemma":[0.99240416,0.004527056,0.0012428882,0.00039413015,0.0009540584,0.0004777365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017403506,0.00051551795,0.0002841222,0.0016219815,0.0013405451,0.0030638594,0.0005248019,0.0019112179,0.0053690174],"category_scores_gemma":[0.01050486,0.00017817528,0.0005275262,0.0016804425,0.003916142,0.0029842346,0.002149067,0.002427079,0.00086727046],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003471571,0.0004981926,0.01335509,0.0006797275,0.00005700121,0.0006689953,0.0092266835,0.0011588663,0.0024500838,0.54817957,0.27153388,0.15184471],"study_design_scores_gemma":[0.000055673965,0.0001792792,0.032124825,0.0014831314,0.000050884937,0.0005952738,0.0063119372,0.0006897116,0.0022650731,0.15133896,0.8048224,0.00008289648],"about_ca_topic_score_codex":0.00083992875,"about_ca_topic_score_gemma":0.0010728008,"teacher_disagreement_score":0.0053690174,"about_ca_system_score_codex":0.0014912481,"about_ca_system_score_gemma":0.0009192147,"threshold_uncertainty_score":0.017961144},"labels":[],"label_agreement":null},{"id":"W2972770621","doi":"10.2139/ssrn.3192064","title":"Abnormal Media Tone, Returns, and Earnings Announcements","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Earnings; Post-earnings-announcement drift; Tone (literature); Business; Earnings response coefficient; Accounting; Art","score_opus":0.010062802031118754,"score_gpt":0.20277111019708047,"score_spread":0.1927083081659617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972770621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945503,0.00026685663,0.00012805386,0.00039652878,0.000041159692,0.0000070519754,0.00064886746,0.000016927252,0.003944235],"genre_scores_gemma":[0.9981021,0.0001641861,0.00004189591,0.000030091285,0.0001669838,0.00000327978,0.0004746261,0.000004323018,0.0010125077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956936,0.0001113816,0.000054513082,0.000047963462,0.00012635846,0.000090560985],"domain_scores_gemma":[0.9698127,0.014144419,0.012084657,0.00065133325,0.001239222,0.0020677054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010788348,0.00023883254,0.00022391237,0.0012494719,0.00022916975,0.0019637407,0.00024669952,0.00075958297,0.0068705524],"category_scores_gemma":[0.021706823,0.00015182832,0.00019383835,0.0010059371,0.0002456354,0.00092032895,0.00043468436,0.000882939,0.0012640998],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010843597,0.0003161648,0.9859482,0.000024924486,0.00007672466,0.00029398024,0.00012928624,0.0003951259,0.0007645699,0.0004949755,0.0012319399,0.009239628],"study_design_scores_gemma":[0.000015424412,0.0001426338,0.997054,0.0000071888308,0.000052237072,0.00014683917,0.00016058418,0.0013837613,0.00018616956,0.00042241617,0.00041894804,0.000009775559],"about_ca_topic_score_codex":0.0023118926,"about_ca_topic_score_gemma":0.0022263222,"teacher_disagreement_score":0.0068705524,"about_ca_system_score_codex":0.00023706409,"about_ca_system_score_gemma":0.00019952566,"threshold_uncertainty_score":0.022984266},"labels":[],"label_agreement":null},{"id":"W2973127902","doi":"10.3390/jrfm12030149","title":"Skewness Preference and Asset Pricing: Evidence from the Japanese Stock Market","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Skewness; Preference; Economics; Stock (firearms); Financial economics; Capital asset pricing model; Stock market; Econometrics; Risk premium; Risk aversion (psychology); Microeconomics; Expected utility hypothesis; Geography","score_opus":0.031068469692459057,"score_gpt":0.21073945058663937,"score_spread":0.17967098089418032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973127902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99890745,0.00017404795,0.00010708721,0.00006192521,0.0000017008407,0.0000032633584,0.000036513164,0.0000011371945,0.00070681743],"genre_scores_gemma":[0.9995005,0.00021661822,0.00007209918,0.00002635547,0.000009585713,0.0000014185254,0.0000817569,7.33839e-7,0.000090987145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977714,0.000056604687,0.000031406136,0.000033787055,0.00007141153,0.000029597519],"domain_scores_gemma":[0.9952728,0.001588076,0.001850935,0.0003037775,0.00045572355,0.0005286299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009895387,0.00018827846,0.00025785688,0.00074627146,0.00037529762,0.00071681075,0.00019147128,0.00033279014,0.002482643],"category_scores_gemma":[0.004687519,0.00012955409,0.0003033639,0.0010182734,0.0005968468,0.00076676096,0.00047635307,0.00040177908,0.00021829472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033989426,0.00017379383,0.98617816,0.000055372297,0.0001250543,0.00027060715,0.0007913031,0.00018184815,0.0017966565,0.00064426515,0.00019381502,0.0092491275],"study_design_scores_gemma":[0.00001811207,0.000057127305,0.9978471,0.000005308384,0.000051144794,0.00013211573,0.00043621333,0.0005854032,0.00020879047,0.00044361947,0.0002082609,0.0000068768677],"about_ca_topic_score_codex":0.008202161,"about_ca_topic_score_gemma":0.009102129,"teacher_disagreement_score":0.008202161,"about_ca_system_score_codex":0.00020443223,"about_ca_system_score_gemma":0.0002496211,"threshold_uncertainty_score":0.016308844},"labels":[],"label_agreement":null},{"id":"W2973513368","doi":"10.2139/ssrn.3286688","title":"A Dynamic Agency Based Asset Pricing Model with Production","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Production (economics); Consumption-based capital asset pricing model; Capital asset pricing model; Agency (philosophy); Business; Asset (computer security); Economics; Financial economics; Microeconomics; Computer science","score_opus":0.014271290965884838,"score_gpt":0.21014747957640134,"score_spread":0.1958761886105165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973513368","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13017781,0.0030700106,0.7765155,0.0077939397,0.00054058316,0.00019931357,0.0023762628,0.00081637775,0.0785103],"genre_scores_gemma":[0.901391,0.0015339135,0.022181457,0.000318433,0.00031318748,0.00021596471,0.0005494227,0.00009940959,0.0733972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987884,0.00052419474,0.00005320382,0.0003086258,0.0001570739,0.00016847938],"domain_scores_gemma":[0.997752,0.0012825544,0.00032233266,0.00015473863,0.00022352087,0.00026489896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015175244,0.0014663077,0.0026965046,0.00090549875,0.0007373221,0.0056813234,0.0031034637,0.0062261974,0.01143612],"category_scores_gemma":[0.0044577993,0.0012765524,0.0014852422,0.0018373032,0.0019806232,0.003969243,0.0018477988,0.0031698006,0.002177873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001710499,0.00016841809,0.00072173384,0.00011528837,0.00009903718,0.0006957023,0.00010930034,0.7210106,0.0011851994,0.2653237,0.0027910527,0.007608852],"study_design_scores_gemma":[0.00008103251,0.000067190354,0.0001726713,0.000009728339,0.00003707127,0.00011737343,0.000017199705,0.9559874,0.00009583221,0.04199667,0.0013941058,0.00002380319],"about_ca_topic_score_codex":0.0049513513,"about_ca_topic_score_gemma":0.0018519997,"teacher_disagreement_score":0.01143612,"about_ca_system_score_codex":0.0014932042,"about_ca_system_score_gemma":0.0013569917,"threshold_uncertainty_score":0.03825766},"labels":[],"label_agreement":null},{"id":"W2973817249","doi":"10.5430/afr.v8n4p76","title":"The Effect of Portfolio Diversification for the Bursa Malaysia","year":2019,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Diversification (marketing strategy); Econometrics; Stock exchange; Stock (firearms); Systematic risk; Financial economics; Economics; Investment portfolio; Portfolio optimization; Business; Finance; Geography; Marketing","score_opus":0.03559531409720022,"score_gpt":0.28037709616275686,"score_spread":0.24478178206555662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973817249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986532,0.00020820505,0.00023756592,0.00006777734,0.000002457219,0.0000029307037,0.00003115598,0.000004944188,0.00079175836],"genre_scores_gemma":[0.9996716,0.000060063823,0.0001225157,0.000009450631,0.0000022277566,0.0000010062624,0.000026986301,7.307066e-7,0.00010530657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994868,0.00021679545,0.000035159876,0.00007929432,0.00010893553,0.000072978044],"domain_scores_gemma":[0.9952952,0.0018610285,0.0018485151,0.00033304765,0.0003481841,0.00031388662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014768055,0.00025651755,0.00019062386,0.00040303735,0.00015364398,0.0006654464,0.00020534593,0.00029858577,0.00092312257],"category_scores_gemma":[0.006431834,0.00009358558,0.0002679803,0.00029158988,0.00024361533,0.00061660237,0.00043532584,0.00028712716,0.0001327439],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001407714,0.00026428656,0.85978556,0.00011998467,0.00040124054,0.00078346604,0.00035861257,0.034848247,0.012718152,0.0022888896,0.000512072,0.08651177],"study_design_scores_gemma":[0.000067971356,0.0015153744,0.95967317,0.000043516186,0.00013986176,0.00061438023,0.00037704033,0.027965605,0.0069187055,0.0013919212,0.0012707207,0.000021613645],"about_ca_topic_score_codex":0.0016814637,"about_ca_topic_score_gemma":0.0015134037,"teacher_disagreement_score":0.0016814637,"about_ca_system_score_codex":0.0004345327,"about_ca_system_score_gemma":0.00031662494,"threshold_uncertainty_score":0.007810235},"labels":[],"label_agreement":null},{"id":"W2974066984","doi":"10.1177/0260107919848629","title":"The Impact of Financial Crises on the Asset Allocation: Classical Theory Versus Behavioral Theory","year":2019,"lang":"en","type":"article","venue":"Journal of Interdisciplinary Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Portfolio; Modern portfolio theory; Efficient frontier; Risk aversion (psychology); Financial crisis; Portfolio optimization; Asset allocation; Expected utility hypothesis; Financial economics; Econometrics; Post-modern portfolio theory; Replicating portfolio","score_opus":0.04525523832022476,"score_gpt":0.30308105669998403,"score_spread":0.25782581837975926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974066984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96364015,0.0018103927,0.017884554,0.0017505535,0.000027025628,0.000032790733,0.00036908174,0.00003930811,0.014446229],"genre_scores_gemma":[0.99857116,0.00042619082,0.00060096604,0.000054828433,0.000016649708,0.0000061220944,0.00007466921,0.0000026305554,0.00024677868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999524,0.00021375724,0.000022644184,0.000050998322,0.00010681131,0.00008184027],"domain_scores_gemma":[0.99729496,0.0016987893,0.00061582896,0.00010334298,0.00016992875,0.00011721568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013519994,0.000288852,0.0004425626,0.0010964277,0.000241921,0.0019097523,0.00046749777,0.0006383732,0.0021497316],"category_scores_gemma":[0.0076200743,0.00014218746,0.00030277504,0.0010140018,0.0012601473,0.0011467383,0.0005463497,0.0005789666,0.00012669824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040615752,0.00018477875,0.3433291,0.00030427845,0.0003485103,0.00041980256,0.00030101126,0.40579677,0.0015301009,0.16407354,0.003499828,0.07980609],"study_design_scores_gemma":[0.00004696307,0.00014713607,0.3522772,0.00008938376,0.00008640738,0.00012280286,0.00088124775,0.5031541,0.0005336733,0.14063969,0.001970372,0.000050952116],"about_ca_topic_score_codex":0.033849187,"about_ca_topic_score_gemma":0.023582708,"teacher_disagreement_score":0.033849187,"about_ca_system_score_codex":0.0027778891,"about_ca_system_score_gemma":0.00091984635,"threshold_uncertainty_score":0.06730431},"labels":[],"label_agreement":null},{"id":"W2974514168","doi":"10.3390/jrfm12040154","title":"Risk Analysis and Portfolio Modelling","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Variety (cybernetics); Financial risk; Computer science; Task (project management); Risk analysis (engineering); Actuarial science; Finance; Business; Economics; Artificial intelligence","score_opus":0.010367983111257657,"score_gpt":0.18364736253282998,"score_spread":0.17327937942157232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974514168","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013167202,0.11330607,0.7249919,0.013473826,0.0015519201,0.000080889324,0.0005779573,0.0004705089,0.13237977],"genre_scores_gemma":[0.6700488,0.10060616,0.1303074,0.001835038,0.0042671873,0.00029602132,0.0010973832,0.00036749037,0.09117451],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983784,0.0007136241,0.00008679049,0.00017733565,0.00053032493,0.00011358707],"domain_scores_gemma":[0.9984281,0.0009920702,0.00015819955,0.00015724007,0.00020137086,0.000063083964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002071851,0.0012247243,0.0013572929,0.0014201744,0.00052191457,0.004024483,0.0011045197,0.001954636,0.005985979],"category_scores_gemma":[0.0076637384,0.0004103266,0.0009546258,0.0021158603,0.0017176069,0.003087164,0.0013960912,0.002578995,0.0018380695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015154072,0.000026896443,0.0007638354,0.00017319166,0.00008613604,0.00010326481,0.00012502706,0.065531515,0.00022978985,0.85357153,0.015254288,0.06411942],"study_design_scores_gemma":[0.0000028437478,0.000009574757,0.0002721456,0.000060066202,0.000009070594,0.000060056456,0.00003017606,0.042366117,0.00006686493,0.93973833,0.01737563,0.0000092407845],"about_ca_topic_score_codex":0.0021797523,"about_ca_topic_score_gemma":0.0010161095,"teacher_disagreement_score":0.005985979,"about_ca_system_score_codex":0.0014743909,"about_ca_system_score_gemma":0.0011557153,"threshold_uncertainty_score":0.020025074},"labels":[],"label_agreement":null},{"id":"W2974747177","doi":"10.1371/journal.pone.0221599","title":"The conditional Fama-French model and endogenous illiquidity: A robust instrumental variables test","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Endogeneity; Econometrics; Instrumental variable; Capital asset pricing model; Economics; Context (archaeology); Deleveraging; Financial crisis; Financial economics; Macroeconomics","score_opus":0.07447529367861244,"score_gpt":0.1764432539969488,"score_spread":0.10196796031833635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974747177","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3333683,0.0013116972,0.65015,0.0023239448,0.0001371442,0.0002590646,0.0019863523,0.001037445,0.009426116],"genre_scores_gemma":[0.9564206,0.0004988012,0.037449304,0.00033823622,0.00012930979,0.00019557343,0.0015602567,0.00011320206,0.0032947813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99617165,0.0021205924,0.00021426693,0.00053033896,0.0003790657,0.0005841284],"domain_scores_gemma":[0.9346752,0.05267855,0.006929064,0.002877979,0.0019134643,0.000925748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0130703,0.0010353072,0.0021968768,0.0025352489,0.0006864079,0.0029187237,0.0025125984,0.0021315364,0.011335996],"category_scores_gemma":[0.058935564,0.000487895,0.0019058216,0.002217261,0.0017797042,0.002534212,0.0018699166,0.002254227,0.0008239316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041502443,0.0003415298,0.0592409,0.00027410674,0.0010436773,0.0014220343,0.0005391566,0.41479144,0.0013068081,0.4641215,0.0075708213,0.048932947],"study_design_scores_gemma":[0.00011199615,0.00018588352,0.0078429375,0.000116572686,0.00021242416,0.00014497056,0.00026420708,0.89029074,0.00084603735,0.09646469,0.0034251986,0.00009432838],"about_ca_topic_score_codex":0.017541101,"about_ca_topic_score_gemma":0.008139293,"teacher_disagreement_score":0.017541101,"about_ca_system_score_codex":0.0013044669,"about_ca_system_score_gemma":0.0030372257,"threshold_uncertainty_score":0.06912321},"labels":[],"label_agreement":null},{"id":"W2975643303","doi":"","title":"An Extension of the Consumption-based CAPM Model","year":2012,"lang":"en","type":"article","venue":"Digital Commons - Lingnan (Lingnan University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Capital asset pricing model; Prudence; Equity premium puzzle; Econometrics; Economics; Risk premium; Covariance; Risk aversion (psychology); Consumption (sociology); Degree (music); Financial economics; Mathematics; Expected utility hypothesis; Statistics","score_opus":0.052190347222413606,"score_gpt":0.20370669246099884,"score_spread":0.15151634523858523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975643303","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14908732,0.0010246242,0.751091,0.005743333,0.00027113908,0.00018205952,0.001544557,0.0004638495,0.09059214],"genre_scores_gemma":[0.9170765,0.00065370975,0.043607764,0.000484338,0.00021362699,0.00016742865,0.0004398865,0.00006906576,0.037287682],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994684,0.00019025414,0.000020954229,0.00013635703,0.00009713181,0.00008689022],"domain_scores_gemma":[0.9987392,0.00048794443,0.0002229405,0.00019550965,0.0002304504,0.00012393051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010968262,0.00060950476,0.0008423922,0.0005675207,0.0004960941,0.0017210606,0.0018315607,0.0019841138,0.009520606],"category_scores_gemma":[0.004080918,0.0003780927,0.00084813894,0.00096527894,0.0008489503,0.0021090605,0.0012675674,0.0019121653,0.0009720418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094051735,0.000109621,0.0030381638,0.000089374626,0.00006060224,0.0005057713,0.00029382147,0.23739493,0.0009160624,0.7262567,0.007048045,0.024192905],"study_design_scores_gemma":[0.000025521435,0.00003822156,0.00090689625,0.00001639949,0.000019367544,0.00018112695,0.00003954349,0.84110504,0.00014667926,0.15036947,0.007129925,0.000021830283],"about_ca_topic_score_codex":0.0049646897,"about_ca_topic_score_gemma":0.0023780796,"teacher_disagreement_score":0.009520606,"about_ca_system_score_codex":0.0011134868,"about_ca_system_score_gemma":0.0007614343,"threshold_uncertainty_score":0.031849623},"labels":[],"label_agreement":null},{"id":"W2975787972","doi":"10.6000/1929-7092.2019.08.65","title":"Have Sentiments Influenced Malaysia’s Stock Market Volatility During the 2008 Crisis?","year":2019,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Stock market; Monetary economics; Economics; Financial crisis; Stock market volatility; Financial economics; Stock (firearms); Financial system; Business; Keynesian economics; History","score_opus":0.02193410067009892,"score_gpt":0.24150721534780611,"score_spread":0.21957311467770718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975787972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850756,0.00021322281,0.000024055009,0.00027509267,0.000008920646,0.0000027183016,0.000127756,0.0000014126565,0.00083931535],"genre_scores_gemma":[0.999509,0.00016303491,0.00001619771,0.00003404652,0.00001082138,0.0000012907826,0.000079897734,9.662832e-7,0.00018473958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997975,0.000054241264,0.000023070788,0.000032775977,0.00003299416,0.000059384733],"domain_scores_gemma":[0.9982864,0.00026401685,0.0010733396,0.000035274228,0.00017667148,0.00016428127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006060428,0.00018786441,0.0001979051,0.00047397538,0.00017744371,0.0010925278,0.0001457722,0.00038364014,0.0010162562],"category_scores_gemma":[0.002372501,0.00013871441,0.0001988573,0.0004858852,0.00026015964,0.00071234896,0.00042047922,0.00049497985,0.0002421668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016419397,0.000041975385,0.9926252,0.000025332522,0.00005737601,0.00013013052,0.0005567564,0.00027225757,0.00043606848,0.000188175,0.00045136467,0.005051175],"study_design_scores_gemma":[0.0000014560695,0.000023085413,0.9985905,0.000008226656,0.000010832872,0.000024710762,0.00058646884,0.00038828692,0.00009464161,0.000036592653,0.00023166982,0.0000034417458],"about_ca_topic_score_codex":0.012561186,"about_ca_topic_score_gemma":0.019593854,"teacher_disagreement_score":0.012561186,"about_ca_system_score_codex":0.00061507605,"about_ca_system_score_gemma":0.00039073423,"threshold_uncertainty_score":0.024976134},"labels":[],"label_agreement":null},{"id":"W2975883994","doi":"10.4236/tel.2019.97148","title":"Information Processing and Financial Market Price Adjustments","year":2019,"lang":"en","type":"article","venue":"Theoretical Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Bank of Canada; Queen's University","funders":"","keywords":"Comparative statics; Economics; Variety (cybernetics); Microeconomics; Information processing; Financial market; Financial economics; Finance; Computer science","score_opus":0.006124378897077825,"score_gpt":0.17213125490660983,"score_spread":0.166006876009532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975883994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78505725,0.0010833013,0.1605822,0.004669846,0.000162292,0.0000621187,0.0001867127,0.00019063584,0.048005782],"genre_scores_gemma":[0.994959,0.00023417361,0.0024566685,0.00007442323,0.00005005764,0.000009679124,0.00002133614,0.000010434116,0.0021843219],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994906,0.00016934004,0.000019039277,0.000092623144,0.00009166732,0.00013668764],"domain_scores_gemma":[0.99559206,0.0030551667,0.00078367826,0.0002078973,0.00023437892,0.00012677614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013111725,0.000357173,0.00042381405,0.0005412997,0.0004154714,0.0023252424,0.0006140059,0.0014765792,0.0041839285],"category_scores_gemma":[0.012632125,0.0003509543,0.00047934998,0.00048376768,0.0011745509,0.0035873658,0.00064743496,0.0010998924,0.00038700324],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005997464,0.0003196074,0.005734512,0.00012390745,0.0001420671,0.0007344418,0.0006649236,0.4514578,0.011864532,0.47577,0.0021993946,0.05038916],"study_design_scores_gemma":[0.00009730916,0.00014474774,0.006939399,0.000021489077,0.000039842926,0.00017055012,0.0001501547,0.6276967,0.0017743044,0.3615662,0.0013302569,0.00006904162],"about_ca_topic_score_codex":0.002981665,"about_ca_topic_score_gemma":0.0012958532,"teacher_disagreement_score":0.0041839285,"about_ca_system_score_codex":0.0011825428,"about_ca_system_score_gemma":0.00059242104,"threshold_uncertainty_score":0.013996601},"labels":[],"label_agreement":null},{"id":"W2975963231","doi":"10.2139/ssrn.3440320","title":"New Evidence of the Marginal Predictive Content of Small and Large Jumps","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Content (measure theory); Econometrics; Statistics; Economics; Mathematics","score_opus":0.029179662102219443,"score_gpt":0.2042591605835594,"score_spread":0.17507949848133994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975963231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9359364,0.0017752143,0.037862606,0.0032749344,0.00016845776,0.00002391692,0.0006325814,0.000511719,0.0198141],"genre_scores_gemma":[0.99738246,0.00023619081,0.0008877312,0.000119696255,0.00025910375,0.000004694945,0.00018044094,0.00006121316,0.0008684075],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984883,0.0004006274,0.00010676456,0.00042317837,0.00039955715,0.00018157228],"domain_scores_gemma":[0.70147514,0.266293,0.008135426,0.017189521,0.00403609,0.0028708393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073987856,0.00059607223,0.0009487989,0.0020078141,0.00072693144,0.004339466,0.0017629066,0.0015950417,0.017808074],"category_scores_gemma":[0.09393626,0.00063490134,0.00072376383,0.0015319079,0.0035170007,0.0051737675,0.0020838839,0.00372092,0.0010946237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011840236,0.0016934252,0.31002435,0.0008976015,0.0016172043,0.0025943613,0.004497807,0.03921529,0.034752537,0.2860336,0.009195283,0.2976382],"study_design_scores_gemma":[0.00054816477,0.0006595849,0.3609566,0.00018272061,0.0011268825,0.0012949576,0.0011195312,0.15160438,0.010724828,0.4669383,0.0045639705,0.00028006462],"about_ca_topic_score_codex":0.0012373686,"about_ca_topic_score_gemma":0.0008207357,"teacher_disagreement_score":0.017808074,"about_ca_system_score_codex":0.00045456845,"about_ca_system_score_gemma":0.00044403778,"threshold_uncertainty_score":0.05957395},"labels":[],"label_agreement":null},{"id":"W2975983103","doi":"10.2139/ssrn.3296695","title":"The Driving Forces of Chinese Stock Returns","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tyndale University","funders":"","keywords":"Stock (firearms); Business; Economics; Financial economics; Monetary economics; Geography","score_opus":0.010820376787853487,"score_gpt":0.21982597336954804,"score_spread":0.20900559658169454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975983103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907741,0.00078002154,0.00043274008,0.0013339417,0.000036941223,0.000022582966,0.00034622836,0.000020593716,0.006252861],"genre_scores_gemma":[0.99855953,0.0003048408,0.00005751117,0.000050621224,0.000036558176,0.000003772968,0.00009526102,0.000005734711,0.00088617846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961156,0.000030353236,0.00003071214,0.00008247002,0.00011918798,0.00012575297],"domain_scores_gemma":[0.9986726,0.00034595595,0.00045582515,0.000078263896,0.00022947296,0.00021776636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000874699,0.00041726287,0.00043896417,0.0019330317,0.0008470293,0.002668624,0.0005170309,0.0006633821,0.005321349],"category_scores_gemma":[0.0026378527,0.00040542072,0.0006520856,0.0017020523,0.0010420101,0.0013050062,0.00071791344,0.0007011079,0.00066374504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019009005,0.000097497694,0.9320436,0.00012813801,0.00025990236,0.0014535388,0.0015818293,0.0028933408,0.004838374,0.032842245,0.0030318452,0.020639563],"study_design_scores_gemma":[0.00001853918,0.00003253572,0.9852695,0.000021174448,0.00012876611,0.00010203213,0.00091254874,0.0051523857,0.00067081104,0.0057007545,0.0019570254,0.000034086188],"about_ca_topic_score_codex":0.038602214,"about_ca_topic_score_gemma":0.04008043,"teacher_disagreement_score":0.038602214,"about_ca_system_score_codex":0.0018852224,"about_ca_system_score_gemma":0.0018359447,"threshold_uncertainty_score":0.07675505},"labels":[],"label_agreement":null},{"id":"W2978217754","doi":"10.1111/fire.12215","title":"Wealth transfer through private placements: Evidence from China","year":2019,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Business; China; Expiration; Issuer; Private equity; Private placement; Equity (law); Finance; Monetary economics; Cash; Initial public offering; Economics; Medicine; Investment banking; Internal medicine","score_opus":0.04624015942656024,"score_gpt":0.25872531240608826,"score_spread":0.21248515297952802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978217754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968988,0.00084730354,0.000092913986,0.00027865678,0.000007749011,0.000012591161,0.00032403212,0.0000037377117,0.0015342927],"genre_scores_gemma":[0.9983563,0.0005593542,0.000029968682,0.000052781288,0.00002312179,0.0000033340477,0.0003439526,9.053694e-7,0.0006303357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934095,0.0001447858,0.000058401645,0.000092846894,0.00020018528,0.0001628981],"domain_scores_gemma":[0.99260783,0.0011999374,0.00436397,0.00039004177,0.00091062865,0.0005276422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016040625,0.00023419477,0.00031212295,0.0018654756,0.0005149792,0.00090812275,0.00042319513,0.00043168274,0.0028454387],"category_scores_gemma":[0.0035570427,0.00015650752,0.00033071978,0.0021469828,0.0007603097,0.00061825156,0.0008030001,0.00036780004,0.0001866419],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016687701,0.00009373851,0.98014235,0.00012044979,0.0001484249,0.0005177984,0.0005428448,0.00035974348,0.0003236773,0.0007887115,0.0011279812,0.015667409],"study_design_scores_gemma":[0.000025458408,0.000088245215,0.9968579,0.000019784378,0.00008846827,0.00006594661,0.00035617995,0.0006414673,0.00026671035,0.00017501121,0.0014064169,0.000008477678],"about_ca_topic_score_codex":0.052350108,"about_ca_topic_score_gemma":0.05303009,"teacher_disagreement_score":0.052350108,"about_ca_system_score_codex":0.00093466335,"about_ca_system_score_gemma":0.0011772464,"threshold_uncertainty_score":0.10409081},"labels":[],"label_agreement":null},{"id":"W2979429866","doi":"10.2139/ssrn.3396632","title":"Hedge Funds and Financial Intermediaries","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; HEC Montréal","funders":"","keywords":"Hedge fund; Financial intermediary; Business; Prime (order theory); Intermediary; Alternative beta; Bankruptcy; Financial system; Institutional investor; Fund of funds; Systematic risk; Finance; Global assets under management; Market liquidity; Corporate governance","score_opus":0.009202045096081843,"score_gpt":0.18799265070146434,"score_spread":0.1787906056053825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979429866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69081765,0.048925187,0.032061506,0.031369153,0.00056513486,0.00006521874,0.0007433794,0.00026973715,0.19518305],"genre_scores_gemma":[0.98138875,0.0050201784,0.0010252194,0.00024715884,0.00031570854,0.0000095668875,0.00006804561,0.000008799824,0.0119164605],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967504,0.00010332371,0.000025508838,0.000063731095,0.00006706009,0.00006528955],"domain_scores_gemma":[0.9961643,0.002058363,0.0011574483,0.00018982422,0.00018860187,0.00024143307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011160807,0.00036265125,0.00058490015,0.0012163284,0.00046080508,0.006083092,0.00047987967,0.0032522948,0.009226355],"category_scores_gemma":[0.006383658,0.00028432976,0.00029314496,0.0012220022,0.0013739609,0.006019851,0.0011506282,0.0014999248,0.00087720953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022853944,0.00008831566,0.007209136,0.00012882148,0.00008483221,0.00052952825,0.00023885605,0.007213097,0.0006241992,0.9469163,0.005128269,0.031610254],"study_design_scores_gemma":[0.00006674145,0.000057072073,0.0033287865,0.00009032788,0.00006315953,0.00022866306,0.00031941294,0.011800447,0.00044474337,0.9729198,0.010656282,0.000024581906],"about_ca_topic_score_codex":0.0012904033,"about_ca_topic_score_gemma":0.0010889086,"teacher_disagreement_score":0.009226355,"about_ca_system_score_codex":0.0008320125,"about_ca_system_score_gemma":0.0007453496,"threshold_uncertainty_score":0.030865192},"labels":[],"label_agreement":null},{"id":"W2979735781","doi":"10.48550/arxiv.1910.03068","title":"Do speed bumps curb low-latency trading? Evidence from a laboratory market","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Latency (audio); Investment (military); High-frequency trading; Algorithmic trading; Low latency (capital markets); Business; Trading turret; Monetary economics; Industrial organization; Alternative trading system; Computer science; Economics; Open outcry; Telecommunications; Finance","score_opus":0.08884318721446893,"score_gpt":0.17945937856584937,"score_spread":0.09061619135138044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979735781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98099315,0.0009760309,0.0021495,0.0019626324,0.00010391671,0.00005681094,0.00019146557,0.00008078591,0.013485522],"genre_scores_gemma":[0.9978116,0.0002727088,0.0005131258,0.00029885437,0.000049628125,0.000025102745,0.000077389246,0.000017247368,0.00093445275],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899274,0.0004546877,0.000059622085,0.00014779183,0.0002138383,0.0001311843],"domain_scores_gemma":[0.9755457,0.013145265,0.0072390544,0.0021714233,0.00075934886,0.0011391885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00320641,0.00041170756,0.00044236204,0.00044379345,0.0006075977,0.0020553381,0.0007910044,0.0015555093,0.012078414],"category_scores_gemma":[0.02230474,0.00025059594,0.0003301587,0.00032389225,0.0015277656,0.0028272402,0.0010612018,0.001513457,0.0015106688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.044428006,0.031152438,0.2420839,0.0030639528,0.0020574622,0.0027320264,0.003363892,0.03355512,0.058002617,0.25369275,0.05340093,0.272467],"study_design_scores_gemma":[0.018331027,0.024047744,0.3504927,0.0006038785,0.0019354905,0.0013116488,0.005493275,0.121984765,0.04924394,0.35528967,0.07064546,0.00062045886],"about_ca_topic_score_codex":0.0009412528,"about_ca_topic_score_gemma":0.00073359,"teacher_disagreement_score":0.012078414,"about_ca_system_score_codex":0.0004594294,"about_ca_system_score_gemma":0.00042409755,"threshold_uncertainty_score":0.040406287},"labels":[],"label_agreement":null},{"id":"W2980185177","doi":"10.3905/jai.22.s1.012","title":"Practical Applications of The Myth of Hedge Fund Fee Diversification","year":2019,"lang":"en","type":"article","venue":"The Journal of Alternative Investments","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedge fund; Diversification (marketing strategy); Alternative investment; Performance fee; Portfolio; Alternative beta; Business; Fund of funds; Volatility (finance); Open-end fund; Sharpe ratio; Financial economics; Economics; Actuarial science; Finance; Fund administration; Institutional investor; Corporate governance; Market liquidity; Marketing","score_opus":0.07734895955994321,"score_gpt":0.2832922508904084,"score_spread":0.20594329133046518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980185177","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040886413,0.019687723,0.48291197,0.16287428,0.0041871155,0.00020066637,0.000302616,0.0002345003,0.28871468],"genre_scores_gemma":[0.76890373,0.012492362,0.1456984,0.00965334,0.0075590834,0.0003594434,0.0001487972,0.00015216583,0.055032745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975331,0.0012172713,0.00011839039,0.00029950927,0.0007024936,0.00012913134],"domain_scores_gemma":[0.9945298,0.0036277028,0.00023813515,0.0006149003,0.0007775448,0.00021188908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004319741,0.00065178826,0.00054322806,0.00092708634,0.0010353413,0.003203118,0.0009826752,0.0031523367,0.01528638],"category_scores_gemma":[0.017137896,0.0003284715,0.0008059235,0.0007036378,0.004486165,0.0053866087,0.0024793267,0.004484338,0.0011886655],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017197477,0.000020538428,0.00023962572,0.00003887382,0.0000064255105,0.000056763824,0.0000812543,0.0050562755,0.00018996817,0.9628103,0.009737103,0.02174571],"study_design_scores_gemma":[0.000014628371,0.00002072562,0.00017366096,0.000058763904,0.0000029848236,0.000085325926,0.00006161853,0.012952062,0.00011914471,0.9601893,0.026309013,0.0000128105685],"about_ca_topic_score_codex":0.0017821013,"about_ca_topic_score_gemma":0.0010449268,"teacher_disagreement_score":0.01528638,"about_ca_system_score_codex":0.0027664893,"about_ca_system_score_gemma":0.0013890477,"threshold_uncertainty_score":0.051138043},"labels":[],"label_agreement":null},{"id":"W2980412044","doi":"10.3905/joi.2019.1.107","title":"Diversification Benefits of European Small-Cap Stocks after the Global Financial Crisis and Brexit","year":2019,"lang":"en","type":"article","venue":"The Journal of Investing","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Brexit; Diversification (marketing strategy); Financial crisis; Portfolio; European union; Business; Financial market; Economics; European market; International economics; Finance; Financial economics; Macroeconomics","score_opus":0.03538063838265511,"score_gpt":0.19706862191489183,"score_spread":0.16168798353223673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980412044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98921555,0.0019459488,0.00017048576,0.0009948146,0.000038455426,0.0000065057557,0.00018149379,0.000012135265,0.0074345805],"genre_scores_gemma":[0.9982317,0.00053145085,0.000048665464,0.00018403622,0.000028960236,0.0000020815944,0.00020026194,0.0000031423674,0.0007698122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983406,0.000029799394,0.000012823846,0.00002811616,0.00003302137,0.000062063926],"domain_scores_gemma":[0.99825877,0.00023586082,0.0009922301,0.00008510519,0.00017980517,0.00024819194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018109,0.00024941293,0.0002771671,0.0006691499,0.00028749806,0.0015581308,0.00018471129,0.00065601384,0.002830739],"category_scores_gemma":[0.00412066,0.000088530825,0.00026696993,0.0007099454,0.0005671227,0.0013058592,0.001236988,0.0007883639,0.0002949127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005283394,0.0005443909,0.68283784,0.00041492758,0.00064180535,0.0029020046,0.0018475243,0.012846441,0.009383881,0.029229918,0.008785291,0.2452826],"study_design_scores_gemma":[0.000084237574,0.0005372284,0.97428674,0.00014913728,0.00011481324,0.0004694812,0.0013924469,0.0020023067,0.0026001884,0.008084124,0.010247319,0.000031997868],"about_ca_topic_score_codex":0.002089157,"about_ca_topic_score_gemma":0.0023254082,"teacher_disagreement_score":0.002830739,"about_ca_system_score_codex":0.00068989425,"about_ca_system_score_gemma":0.0003001859,"threshold_uncertainty_score":0.009469807},"labels":[],"label_agreement":null},{"id":"W2980638716","doi":"10.29216/ueip.599211","title":"YATIRIMCILAR İÇİN UYGUN ZAMANLAMA STRATEJİLERİ; BİST 30’DAKİ HİSSE SENETLERİ ÜZERİNE BİR UYGULAMA","year":2019,"lang":"tr","type":"article","venue":"Uluslararası Ekonomi İşletme ve Politika Dergisi","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Economics","score_opus":0.021981060699336627,"score_gpt":0.21488415982378886,"score_spread":0.19290309912445225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980638716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6894285,0.013159816,0.07594694,0.0038685156,0.0020612988,0.000630539,0.0026942205,0.0035225237,0.20868765],"genre_scores_gemma":[0.89288557,0.0042116507,0.02509402,0.0006098,0.00016997397,0.00022893578,0.0018426497,0.0005273679,0.0744301],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916136,0.000082126,0.00003685368,0.00014364051,0.0003905943,0.00018556618],"domain_scores_gemma":[0.9990132,0.00014125876,0.0001236021,0.0000785913,0.00049875013,0.0001445197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007480629,0.0009245772,0.0007549357,0.0010890166,0.0013902806,0.002516422,0.00074176386,0.0012020207,0.025298733],"category_scores_gemma":[0.0014470449,0.00043314337,0.0008903454,0.0008663281,0.0010096398,0.0013332207,0.0014582805,0.0014605604,0.006710573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034265134,0.0004938447,0.06902173,0.0024101085,0.00024031107,0.002808507,0.0040779077,0.010107093,0.23168124,0.012870677,0.028512388,0.63434964],"study_design_scores_gemma":[0.00020555074,0.003225554,0.24841325,0.00086335494,0.00057001883,0.0033596766,0.0131867435,0.016264169,0.23409219,0.00831794,0.47101614,0.00048540928],"about_ca_topic_score_codex":0.013439479,"about_ca_topic_score_gemma":0.019694284,"teacher_disagreement_score":0.025298733,"about_ca_system_score_codex":0.0013108854,"about_ca_system_score_gemma":0.0024218296,"threshold_uncertainty_score":0.084632754},"labels":[],"label_agreement":null},{"id":"W2981227456","doi":"10.1108/jcom-09-2019-0126","title":"Information leaks before CEO change: financial gain and ethical cost","year":2020,"lang":"en","type":"article","venue":"Journal of Communication Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Speculation; Originality; Transparency (behavior); Business; Stock market; Corporate governance; Value (mathematics); Accounting; Stock (firearms); Quarter (Canadian coin); Financial market; Initial public offering; Finance; Marketing; Economics; Law","score_opus":0.056772097451597114,"score_gpt":0.2503058451440512,"score_spread":0.19353374769245407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981227456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8729148,0.0052981293,0.014902041,0.031162772,0.00051367393,0.00027245603,0.0002831695,0.000148215,0.07450472],"genre_scores_gemma":[0.99636036,0.00039080737,0.0010496983,0.00077835674,0.00018629695,0.00002553628,0.000032570726,0.000010915082,0.0011655921],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9867806,0.00605434,0.0010393896,0.0008055607,0.0038461841,0.001473983],"domain_scores_gemma":[0.7375882,0.1583146,0.07022045,0.013631117,0.0124319885,0.0078136455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01588605,0.0003353252,0.00050223066,0.0018016769,0.0016818333,0.0062239994,0.0006850845,0.0021785249,0.010351789],"category_scores_gemma":[0.17014961,0.00033682064,0.00058440224,0.001069407,0.0038104267,0.009189308,0.003213361,0.003402328,0.0009320572],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002669144,0.0014166123,0.43807524,0.0009478287,0.00042182565,0.003240086,0.010983149,0.002990714,0.0035639654,0.08518225,0.009870082,0.4406391],"study_design_scores_gemma":[0.00036987232,0.0036933566,0.5519927,0.0025159966,0.0008283084,0.010829847,0.049324486,0.017244536,0.010207782,0.2999658,0.05256314,0.0004642097],"about_ca_topic_score_codex":0.0007648126,"about_ca_topic_score_gemma":0.0008858019,"teacher_disagreement_score":0.01588605,"about_ca_system_score_codex":0.0029926426,"about_ca_system_score_gemma":0.0026811946,"threshold_uncertainty_score":0.084014475},"labels":[],"label_agreement":null},{"id":"W2981327327","doi":"10.3390/jrfm12040165","title":"The Cross Section of Country Equity Returns: A Review of Empirical Literature","year":2019,"lang":"en","type":"review","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Narodowe Centrum Nauki","keywords":"Equity (law); Economics; Financial economics; Capital asset pricing model; Predictability; Stock (firearms); Econometrics; Geography; Political science; Statistics","score_opus":0.04948898653094295,"score_gpt":0.32573116224392207,"score_spread":0.2762421757129791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981327327","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015120276,0.9959318,0.0006051528,0.0005213215,0.00007643679,0.000007704948,0.0002694293,0.0000092537875,0.0010668623],"genre_scores_gemma":[0.009932102,0.98858225,0.0005047999,0.00018261145,0.00028555744,0.000014038041,0.00031122856,0.00000699514,0.00018041307],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9987386,0.0003155847,0.00024267272,0.00033882476,0.00031475813,0.000049536848],"domain_scores_gemma":[0.9840364,0.013183642,0.001395987,0.00030500494,0.00096594787,0.000113106325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031768342,0.00080826844,0.0014909798,0.0072906027,0.00022539549,0.0020235223,0.000957677,0.00088792713,0.0034743373],"category_scores_gemma":[0.012648532,0.00045546956,0.00097548985,0.011466948,0.00066955085,0.002157923,0.00079456944,0.001068063,0.00087789603],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009624791,0.00007578289,0.013849308,0.025125554,0.00057019346,0.00017964593,0.00019747733,0.0010521513,0.00025019102,0.007653473,0.013750151,0.9371998],"study_design_scores_gemma":[0.000057369758,0.0003535714,0.18338095,0.08066257,0.0036481707,0.0039769295,0.0010635417,0.0025180972,0.001152599,0.031531807,0.6914369,0.00021749087],"about_ca_topic_score_codex":0.0028447448,"about_ca_topic_score_gemma":0.002665135,"teacher_disagreement_score":0.0072906027,"about_ca_system_score_codex":0.00062483223,"about_ca_system_score_gemma":0.0013801397,"threshold_uncertainty_score":0.01680094},"labels":[],"label_agreement":null},{"id":"W2981511068","doi":"10.5539/ass.v15n11p25","title":"The Determinants of the Stock Price Performance of Analyst Recommendations","year":2019,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quantile; Quantile regression; Econometrics; Sample (material); Economics; Earnings; Stock exchange; Stock (firearms); Homogeneous; Financial economics; Business; Accounting; Finance; Mathematics","score_opus":0.0242354699097736,"score_gpt":0.2462534002715234,"score_spread":0.2220179303617498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981511068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99838364,0.00011830074,0.00014999237,0.00016513563,0.000006685321,0.00000763024,0.00015037003,0.000008803828,0.0010093325],"genre_scores_gemma":[0.9994929,0.000052446114,0.000052482937,0.000017758264,0.000021035512,0.0000021445765,0.00010908663,0.0000017612178,0.00025032647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908113,0.0002653419,0.00012305898,0.00013855343,0.00028735233,0.0001045898],"domain_scores_gemma":[0.95466477,0.019363187,0.020203082,0.001634422,0.0028198983,0.001314657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015955665,0.00020548774,0.00016999895,0.0010381473,0.00014127928,0.0014016371,0.00030102962,0.00080518046,0.0026818528],"category_scores_gemma":[0.025797421,0.00015491013,0.00023999123,0.00095419603,0.00023634324,0.0008621497,0.00034807657,0.00069956447,0.00065704033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006530841,0.00005980842,0.9937902,0.0000090971225,0.00009633392,0.000066862965,0.00012967744,0.00038885084,0.000720655,0.00006278619,0.0001343767,0.004476115],"study_design_scores_gemma":[0.0000020015505,0.000036182042,0.9982299,0.0000020372993,0.000016932825,0.000041897758,0.00012438925,0.001232091,0.00016071855,0.000047888276,0.000101722995,0.000004227252],"about_ca_topic_score_codex":0.003594026,"about_ca_topic_score_gemma":0.00376229,"teacher_disagreement_score":0.003594026,"about_ca_system_score_codex":0.00027983132,"about_ca_system_score_gemma":0.00020497563,"threshold_uncertainty_score":0.008971691},"labels":[],"label_agreement":null},{"id":"W2981912575","doi":"10.5539/ijef.v11n11p52","title":"An Analysis on the Effects of Economic Conditions on Investment Behavior: Focusing on Level of Finance Knowledge, Income-Expenditure Balance and Liquidity Constraints","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Investment (military); Economics; Socioeconomic status; Balance (ability); Investment decisions; Finance; Monetary economics; Behavioral economics","score_opus":0.030532698237610553,"score_gpt":0.26690976244367765,"score_spread":0.23637706420606708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981912575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962321,0.00029110204,0.00043345653,0.00016693484,0.0000073311367,0.000018064606,0.00012797654,0.0000022417696,0.002720735],"genre_scores_gemma":[0.9989361,0.00012491201,0.00017791237,0.000026073716,0.000007122551,0.000011504148,0.00010479836,0.0000010491055,0.00061055314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928826,0.0002561568,0.00005422553,0.00010201213,0.00012830108,0.00017111356],"domain_scores_gemma":[0.99161655,0.0050178966,0.0020820603,0.00023339094,0.0003709043,0.0006792229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083241414,0.0002677326,0.00029049523,0.0006311899,0.00036860985,0.0011073875,0.00023965373,0.00054287794,0.0048449864],"category_scores_gemma":[0.0051444187,0.0001083901,0.00070246024,0.0007455951,0.00036819666,0.00078716734,0.00050579465,0.00068842823,0.00026204562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022678,0.00030640935,0.9893974,0.000043867654,0.00015460039,0.00023749076,0.00039747875,0.00067215,0.00040350412,0.000742244,0.00012611788,0.0072919843],"study_design_scores_gemma":[0.0000041400945,0.00016733671,0.99637574,0.000020590334,0.00009825695,0.00007388203,0.000686942,0.0013794133,0.00029513045,0.00037136782,0.0005190045,0.000008218852],"about_ca_topic_score_codex":0.004893712,"about_ca_topic_score_gemma":0.005402886,"teacher_disagreement_score":0.004893712,"about_ca_system_score_codex":0.00069925754,"about_ca_system_score_gemma":0.0007398789,"threshold_uncertainty_score":0.016208112},"labels":[],"label_agreement":null},{"id":"W2981994528","doi":"10.5430/ijfr.v11n1p115","title":"Predicting Time-Lag Stock Return Using Tactical Asset Allocation Trading Strategies Across Global Stock Indices","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Asset allocation; Portfolio; Market timing; Stock (firearms); Trading strategy; Drawdown (hydrology); Investment strategy; Econometrics; Stock market; Order (exchange); Lag; Business; Computer science; Financial economics; Economics; Finance; Market liquidity","score_opus":0.1003370529795445,"score_gpt":0.38540926972794187,"score_spread":0.2850722167483974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981994528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850899,0.000112783084,0.013447783,0.000042585918,0.000015692307,0.000012581508,0.00010602268,0.000075318334,0.0010973191],"genre_scores_gemma":[0.9970572,0.000057848272,0.0025265242,0.0000055936844,0.0000049674027,0.000004345345,0.00013135924,0.0000036214833,0.00020851858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998454,0.000031700903,0.000011558341,0.000045917517,0.00004050808,0.000024832209],"domain_scores_gemma":[0.9994721,0.0002534329,0.00010654553,0.00003757937,0.000088934976,0.00004151925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048128827,0.000606909,0.00038619814,0.00082425075,0.00011441125,0.0007762841,0.00024084348,0.00032872055,0.000565915],"category_scores_gemma":[0.0018767329,0.00011939574,0.00028122266,0.000547136,0.00010992446,0.0006358339,0.0002207107,0.00029351132,0.00017948485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058021507,0.00048662265,0.25929135,0.00007370953,0.0003102456,0.00042870067,0.00015611082,0.5598203,0.014210393,0.0012645271,0.0008719888,0.1625058],"study_design_scores_gemma":[0.00000743951,0.00014404637,0.037105497,0.0000050117274,0.000031349027,0.000046786867,0.000042968823,0.9600877,0.0020092274,0.00036255582,0.00014664067,0.0000108346885],"about_ca_topic_score_codex":0.004756737,"about_ca_topic_score_gemma":0.005006708,"teacher_disagreement_score":0.004756737,"about_ca_system_score_codex":0.00020644827,"about_ca_system_score_gemma":0.00027171904,"threshold_uncertainty_score":0.009458125},"labels":[],"label_agreement":null},{"id":"W2982088423","doi":"10.1287/mnsc.2019.3328","title":"Dynamic Attention Behavior Under Return Predictability","year":2019,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Predictability; Volatility (finance); Stock (firearms); Econometrics; Economics; Financial economics; Mathematics; Statistics","score_opus":0.017662668884977913,"score_gpt":0.22268368949672424,"score_spread":0.20502102061174632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982088423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96407795,0.00026722893,0.028535882,0.0010935251,0.000021479234,0.000016818329,0.00010604815,0.00006764935,0.005813523],"genre_scores_gemma":[0.9982004,0.00006419824,0.0011242215,0.000046610618,0.000011374605,0.0000067530686,0.000022864799,0.0000063504945,0.00051716104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99960285,0.00014004801,0.00001509252,0.000097072,0.00004512537,0.00009979644],"domain_scores_gemma":[0.99191475,0.0061562895,0.0010535505,0.00022469152,0.00032941793,0.0003212954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011284217,0.00039082064,0.0005517835,0.0003244872,0.00023363273,0.0010257575,0.00051656394,0.0010920584,0.002810593],"category_scores_gemma":[0.015021759,0.0002857535,0.00022489532,0.00028169117,0.0006083319,0.0011098228,0.0006305937,0.00087504444,0.00023487545],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003266416,0.00074933434,0.063870765,0.00037548435,0.00051464397,0.00155375,0.0012218243,0.58561754,0.091529086,0.13732255,0.004578456,0.10940008],"study_design_scores_gemma":[0.00010830055,0.00042532763,0.04352935,0.000030445668,0.000106614905,0.00017683754,0.00030236001,0.8703176,0.0047793766,0.079491936,0.00067987974,0.000052066156],"about_ca_topic_score_codex":0.0024775572,"about_ca_topic_score_gemma":0.001419541,"teacher_disagreement_score":0.002810593,"about_ca_system_score_codex":0.0011477344,"about_ca_system_score_gemma":0.00039457224,"threshold_uncertainty_score":0.009402394},"labels":[],"label_agreement":null},{"id":"W2982709738","doi":"10.1093/acrefore/9780190625979.013.311","title":"Home Bias in International Macroeconomics","year":2019,"lang":"en","type":"reference-entry","venue":"Oxford Research Encyclopedia of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Portfolio; Financial economics; Equity (law); Economics; Equity capital markets; Equity risk; Capital asset pricing model; Private equity fund; Monetary economics; Business; Finance; Private equity","score_opus":0.08022461743475386,"score_gpt":0.2875625349423197,"score_spread":0.20733791750756586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982709738","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5578211,0.02745627,0.073917516,0.042748243,0.0021836672,0.00011983179,0.0056700814,0.00071796466,0.28936535],"genre_scores_gemma":[0.9901585,0.0025866702,0.00093692815,0.00095703977,0.0007092933,0.000020263931,0.00050438533,0.000046317764,0.0040806695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998871,0.0003009912,0.00009222974,0.00028940383,0.00030835212,0.00013783103],"domain_scores_gemma":[0.99214244,0.0022907031,0.0036700447,0.0007232,0.0008019685,0.00037161683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023024587,0.00032425093,0.0005838633,0.0018329037,0.00044089195,0.0032566525,0.00040430782,0.0007477261,0.00848278],"category_scores_gemma":[0.016440457,0.00014286413,0.00041836954,0.0025834907,0.0014726613,0.0032033678,0.0015494381,0.0017747434,0.00081581366],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010323068,0.000060359846,0.12574232,0.00020563537,0.00015242981,0.0002894174,0.00061839406,0.011512587,0.0003334664,0.7751409,0.022158403,0.063682936],"study_design_scores_gemma":[0.000021914972,0.00006513155,0.09353547,0.00029613636,0.00007022594,0.00025008488,0.0004932581,0.022242472,0.00071836245,0.84447104,0.03777838,0.0000575531],"about_ca_topic_score_codex":0.0026608962,"about_ca_topic_score_gemma":0.0011154206,"teacher_disagreement_score":0.00848278,"about_ca_system_score_codex":0.0016509882,"about_ca_system_score_gemma":0.0005527349,"threshold_uncertainty_score":0.028377712},"labels":[],"label_agreement":null},{"id":"W2983339374","doi":"10.1142/s0219091519500188","title":"Are All Forecasts Made Equal? Conditioning Models on Fit to Improve Accuracy","year":2019,"lang":"en","type":"article","venue":"Review of Pacific Basin Financial Markets and Policies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Econometrics; Decile; Conditioning; Consensus forecast; Stock (firearms); Stock price; Sample (material); Economics; Forecast error; Statistics; Mathematics; Geography; Series (stratigraphy)","score_opus":0.05013944880338621,"score_gpt":0.2662644572786384,"score_spread":0.21612500847525218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983339374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10186459,0.035632063,0.80205244,0.029026318,0.002094025,0.00017397874,0.002509049,0.0029424534,0.02370506],"genre_scores_gemma":[0.77625555,0.023908276,0.18937118,0.0030775736,0.0023558484,0.00015881722,0.0016466107,0.00059511693,0.0026311306],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99444157,0.0024549682,0.00042701777,0.0010042631,0.0013778061,0.0002944272],"domain_scores_gemma":[0.95896626,0.027918087,0.0033415917,0.0049458835,0.0044019627,0.0004262984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016253695,0.0011121602,0.0016348065,0.0018377264,0.0005133044,0.0031352323,0.001306139,0.0014723451,0.0030710017],"category_scores_gemma":[0.09285678,0.0007791623,0.0010897648,0.0015589664,0.0013469375,0.0062018707,0.0010795874,0.0029129484,0.0016527253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039290852,0.00011049557,0.042122953,0.00090386986,0.0011472986,0.00019185738,0.00069496717,0.1339608,0.0022694825,0.058493957,0.02104594,0.73866546],"study_design_scores_gemma":[0.00019047385,0.00044009395,0.059696615,0.0024408323,0.00080308504,0.00047796537,0.0008382472,0.4147278,0.00799524,0.45559725,0.056324452,0.00046791811],"about_ca_topic_score_codex":0.010108058,"about_ca_topic_score_gemma":0.0074100425,"teacher_disagreement_score":0.016253695,"about_ca_system_score_codex":0.0011824802,"about_ca_system_score_gemma":0.0018455312,"threshold_uncertainty_score":0.08595878},"labels":[],"label_agreement":null},{"id":"W2983950329","doi":"10.3905/jpm.2019.1.118","title":"Consistent and Efficient Dynamic Portfolio Replication with Many Factors","year":2019,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Replication (statistics); Portfolio; Computer science; Resampling; Replicate; Econometrics; Benchmark (surveying); Context (archaeology); Transaction cost; Economics; Financial economics; Finance; Artificial intelligence; Statistics; Mathematics","score_opus":0.012399690154755231,"score_gpt":0.20010119273966231,"score_spread":0.1877015025849071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983950329","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043302465,0.0003241309,0.95370704,0.00027843862,0.00007182471,0.00012429254,0.0000986975,0.0006086968,0.001484402],"genre_scores_gemma":[0.60062575,0.00017645257,0.39564788,0.00021557961,0.0001280648,0.00037848463,0.00051613315,0.00016692306,0.002144644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99483657,0.0030235136,0.00023892712,0.00091380865,0.0007752284,0.00021187076],"domain_scores_gemma":[0.9861595,0.006994014,0.0012991352,0.004076494,0.0012433494,0.00022750109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010011444,0.0010405801,0.0013845875,0.0006253631,0.0006383644,0.0014082278,0.0017513094,0.0010785537,0.0017247029],"category_scores_gemma":[0.03159602,0.0005771388,0.0012949816,0.000825041,0.0010458889,0.0023181615,0.0018772503,0.00157599,0.0006003581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000553682,0.0001736422,0.011846311,0.000115739495,0.00033395324,0.00029444357,0.00021256084,0.717301,0.0056768153,0.04111755,0.003163973,0.21921025],"study_design_scores_gemma":[0.000053945627,0.00010157144,0.0008013578,0.000018902378,0.000030913736,0.00006440242,0.000029906949,0.9766765,0.0026875383,0.018083628,0.0014264114,0.000024826693],"about_ca_topic_score_codex":0.0024352449,"about_ca_topic_score_gemma":0.0019559574,"teacher_disagreement_score":0.010011444,"about_ca_system_score_codex":0.0006504265,"about_ca_system_score_gemma":0.0016015131,"threshold_uncertainty_score":0.05294621},"labels":[],"label_agreement":null},{"id":"W2984393271","doi":"10.22215/etd/2019-13502","title":"Three Essays in Banking and Finance","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Bailout; Financial crisis; Business; Financial system; Market liquidity; Loan; Too big to fail; Stock (firearms); Monetary economics; Finance; Economics","score_opus":0.022009237936772626,"score_gpt":0.2159097805439333,"score_spread":0.1939005426071607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984393271","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075427215,0.1436717,0.0050851596,0.33360612,0.0473482,0.00007186471,0.00059461774,0.00016551495,0.46191403],"genre_scores_gemma":[0.095825605,0.084762044,0.004657038,0.05492431,0.035007793,0.0002520331,0.0007837278,0.00032035858,0.723467],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888486,0.0003508009,0.00006399363,0.00012788705,0.00046463063,0.00010789441],"domain_scores_gemma":[0.99613094,0.0020057005,0.0001952797,0.00019874536,0.00093110424,0.00053830346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001848617,0.0006309821,0.0004848114,0.0022772625,0.003016558,0.004820094,0.00051734294,0.0016146969,0.021059193],"category_scores_gemma":[0.007551167,0.0002281555,0.00050587684,0.0021606022,0.0038073487,0.0035478703,0.0022561657,0.003486584,0.006033013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004444323,0.000060500803,0.0006523907,0.00025876553,0.000010636287,0.00008608104,0.0028081876,0.00019682191,0.0002725637,0.23429668,0.6857112,0.07560179],"study_design_scores_gemma":[0.000006335516,0.00001273227,0.00083352166,0.0005160075,0.0000034801053,0.000068751935,0.000992842,0.000096879885,0.000085794556,0.044777468,0.95259655,0.000009631576],"about_ca_topic_score_codex":0.0015880761,"about_ca_topic_score_gemma":0.002267116,"teacher_disagreement_score":0.021059193,"about_ca_system_score_codex":0.002992886,"about_ca_system_score_gemma":0.0021007694,"threshold_uncertainty_score":0.07045001},"labels":[],"label_agreement":null},{"id":"W2985034668","doi":"10.5539/ijef.v11n12p1","title":"Capital Structure Adjustments and Asymmetric Information","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital structure; Economics; Equity (law); Pecking order theory; Econometrics; Information asymmetry; Debt; Estimator; Cointegration; Capital (architecture); Monetary economics; Cost of capital; Financial economics; Finance; Microeconomics; Profit (economics); Mathematics; Statistics","score_opus":0.008617044281790888,"score_gpt":0.1886780022937134,"score_spread":0.1800609580119225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985034668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864927,0.00016107327,0.0043784254,0.00046752958,0.000015956917,0.00002405632,0.00036053298,0.000043790496,0.008055861],"genre_scores_gemma":[0.99902916,0.000021169128,0.0001867012,0.000024708936,0.00000986851,0.000002265408,0.00008801622,0.0000028554211,0.0006352546],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987644,0.000115599316,0.0001360714,0.00030893524,0.0004027483,0.00027218703],"domain_scores_gemma":[0.982979,0.004651165,0.0088771675,0.0020421408,0.0009946887,0.00045570536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011945666,0.00017382867,0.0004253531,0.00082651275,0.00028633408,0.0014538254,0.0004160808,0.0005876281,0.0035383033],"category_scores_gemma":[0.014489111,0.00019542186,0.00027550833,0.0007220766,0.0006211258,0.0017692727,0.0007889433,0.0009063921,0.00035511344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017332456,0.0005363623,0.73449594,0.00014790348,0.00026948418,0.0015902305,0.0023615363,0.056058735,0.01527061,0.056026146,0.0029773216,0.1285325],"study_design_scores_gemma":[0.00003273964,0.00021495161,0.9227823,0.000019529067,0.000052817057,0.00039824878,0.00059719203,0.022973957,0.0045614205,0.044533405,0.0037823874,0.000050970295],"about_ca_topic_score_codex":0.0027118912,"about_ca_topic_score_gemma":0.0019277178,"teacher_disagreement_score":0.0035383033,"about_ca_system_score_codex":0.001138994,"about_ca_system_score_gemma":0.00044670823,"threshold_uncertainty_score":0.011836827},"labels":[],"label_agreement":null},{"id":"W2985111766","doi":"10.47743/saeb-2019-0029","title":"Sustainable Investing Based on Momentum Strategies in Emerging Stock Markets: A Case Study for Bombay Stock Exchange (BSE) of India","year":2019,"lang":"en","type":"article","venue":"Scientific Annals of Economics and Business","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Bible College","funders":"","keywords":"Stock exchange; Emerging markets; Profitability index; Stock market; Corporate governance; Financial economics; Economics; Portfolio; Business; Investment strategy; Finance; Market liquidity","score_opus":0.06521290437889933,"score_gpt":0.26714943522752965,"score_spread":0.20193653084863034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985111766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99673045,0.00014020177,0.00013538166,0.00021536766,0.000002429741,0.00001239523,0.000047253136,0.000004670153,0.0027118986],"genre_scores_gemma":[0.9986192,0.00019659333,0.00026864614,0.000027819702,0.000004488956,0.0000036494116,0.00005060441,0.0000020443465,0.00082694046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978215,0.0000688986,0.000013155057,0.00001896163,0.00005042171,0.000066429966],"domain_scores_gemma":[0.99922204,0.00032366547,0.00018442553,0.000037706694,0.0000828693,0.00014932672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045010657,0.00023227431,0.0001986926,0.0009818105,0.0012133614,0.0018309314,0.0004399723,0.00071967114,0.0011887266],"category_scores_gemma":[0.000919195,0.00009628422,0.00025149976,0.0009437181,0.0008667302,0.0010091019,0.0007977358,0.00063389976,0.00010683101],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046871474,0.0013112213,0.78844994,0.00019769161,0.00015716757,0.07668012,0.015443808,0.013841857,0.0042166933,0.04470695,0.0065524755,0.047973406],"study_design_scores_gemma":[0.0001132955,0.00087800244,0.787556,0.00019633703,0.00017370842,0.012763754,0.084066615,0.07584426,0.0043428326,0.009012485,0.02491801,0.00013469374],"about_ca_topic_score_codex":0.026048675,"about_ca_topic_score_gemma":0.04072579,"teacher_disagreement_score":0.026048675,"about_ca_system_score_codex":0.0011348234,"about_ca_system_score_gemma":0.00061630923,"threshold_uncertainty_score":0.051794052},"labels":[],"label_agreement":null},{"id":"W2986919024","doi":"10.3390/jrfm12040168","title":"Global Asset Allocation Strategy Using a Hidden Markov Model","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hidden Markov model; Portfolio; Econometrics; Asset allocation; Markov chain; Stock (firearms); Computer science; Treynor ratio; Economics; Investment strategy; Financial economics; Artificial intelligence; Machine learning; Finance; Engineering","score_opus":0.02023486482761078,"score_gpt":0.22334345329202274,"score_spread":0.20310858846441196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986919024","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35879856,0.0007878241,0.63275665,0.00058471627,0.00007134574,0.00009776809,0.00047925426,0.0004490775,0.005974806],"genre_scores_gemma":[0.97543323,0.00028387166,0.020743456,0.000042370775,0.000027628359,0.0000641636,0.00027853248,0.000021893151,0.0031047186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994942,0.00016320049,0.000028533756,0.00016323537,0.00007435093,0.00007655818],"domain_scores_gemma":[0.9988193,0.0008143883,0.00016502896,0.0000579009,0.00009863327,0.00004482178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012557799,0.0006331607,0.00074620463,0.001019684,0.00036633978,0.0013463919,0.0009909893,0.00078305736,0.0026832228],"category_scores_gemma":[0.0028853582,0.00037816569,0.00086835155,0.000901628,0.00049128005,0.0017329529,0.00050881156,0.0007717207,0.00042825175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011927493,0.00008298858,0.017869802,0.00006000415,0.0001682802,0.00022236808,0.00021984031,0.9081726,0.0011428721,0.031392597,0.0007501804,0.0397992],"study_design_scores_gemma":[0.0000058864734,0.000025137102,0.0014650258,0.000006198056,0.000022354949,0.000024966566,0.000015021089,0.9907438,0.00013504962,0.007341442,0.0002055911,0.000009536228],"about_ca_topic_score_codex":0.011863552,"about_ca_topic_score_gemma":0.008389172,"teacher_disagreement_score":0.011863552,"about_ca_system_score_codex":0.0010285709,"about_ca_system_score_gemma":0.0007961975,"threshold_uncertainty_score":0.023589015},"labels":[],"label_agreement":null},{"id":"W2988620584","doi":"10.2139/ssrn.3312426","title":"CEO Big Five Personality and Stock Price Crash Risk","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Stock price; Crash; Personality; Business; Stock (firearms); Financial economics; Economics; Actuarial science; Psychology; Engineering; Computer science; Social psychology","score_opus":0.013050177600027505,"score_gpt":0.19924868650410904,"score_spread":0.18619850890408154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988620584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976731,0.00012723672,0.000039931376,0.0003310227,0.000037057387,0.0000036776244,0.00007290087,0.0000031733807,0.0017117399],"genre_scores_gemma":[0.99912447,0.000045874564,0.000018920191,0.000050838014,0.00003441769,0.0000018110843,0.000064592285,0.0000013273802,0.0006577624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997118,0.00007174591,0.00002541973,0.000022429322,0.000065346896,0.00010330485],"domain_scores_gemma":[0.9869682,0.0021559843,0.004304813,0.00033255512,0.00070261303,0.005535814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089059275,0.00017860752,0.00017893223,0.00084819354,0.0004304264,0.0011562901,0.00021794325,0.00058851787,0.0055857436],"category_scores_gemma":[0.008067591,0.00012125261,0.00026403362,0.00045780375,0.00029933767,0.0004557306,0.0005769449,0.000861847,0.00074437464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019740088,0.00013724536,0.9961578,0.000004541122,0.000037451082,0.00007892688,0.000081867016,0.00005971188,0.00011024598,0.00008500719,0.0004717281,0.002578212],"study_design_scores_gemma":[0.0000048586226,0.00007173341,0.99915254,0.0000039903894,0.000011299922,0.00007443943,0.00024556686,0.00016189979,0.000018826227,0.00011621893,0.00013497789,0.0000036586912],"about_ca_topic_score_codex":0.0022400164,"about_ca_topic_score_gemma":0.0041965013,"teacher_disagreement_score":0.0055857436,"about_ca_system_score_codex":0.0003102163,"about_ca_system_score_gemma":0.00037436764,"threshold_uncertainty_score":0.018686116},"labels":[],"label_agreement":null},{"id":"W2989149098","doi":"","title":"Complex Instrument Allowance at Mutual Funds","year":2019,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Queen's University","funders":"","keywords":"Allowance (engineering); Leverage (statistics); Financial instrument; Business; Global assets under management; Institutional investor; Monetary economics; Accounting; Actuarial science; Finance; Economics; Mathematics; Statistics; Operations management","score_opus":0.05297308888124567,"score_gpt":0.20963088177363012,"score_spread":0.15665779289238446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989149098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99528366,0.0003064467,0.0023947316,0.00021885893,0.000009341449,0.00001726437,0.00013956115,0.000060877377,0.0015692187],"genre_scores_gemma":[0.9992132,0.00005182544,0.00035641596,0.000018949628,0.000015225132,0.00000875428,0.00007562435,0.000006201128,0.00025369195],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99434483,0.0017693369,0.00053269137,0.00072790176,0.0012405441,0.0013846107],"domain_scores_gemma":[0.8785197,0.045925535,0.06433565,0.0065251957,0.0021541978,0.0025396151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009094315,0.0006550658,0.0009766332,0.0016871594,0.00086972944,0.003969143,0.0011488376,0.0018294496,0.0024336062],"category_scores_gemma":[0.06948074,0.00035516964,0.0009363666,0.0019227819,0.001782115,0.002385299,0.0026105759,0.0022765324,0.0003960674],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019562922,0.0005549207,0.85383165,0.00020291448,0.00067352876,0.0021315517,0.0017482241,0.040060185,0.0075335926,0.031631622,0.0015416346,0.05813395],"study_design_scores_gemma":[0.00033838468,0.0020061282,0.83604634,0.00018603377,0.00079810515,0.0016616324,0.0018788002,0.099013135,0.017041184,0.03175897,0.008924476,0.00034682758],"about_ca_topic_score_codex":0.004640383,"about_ca_topic_score_gemma":0.002734227,"teacher_disagreement_score":0.009094315,"about_ca_system_score_codex":0.0016657336,"about_ca_system_score_gemma":0.0008407187,"threshold_uncertainty_score":0.048095882},"labels":[],"label_agreement":null},{"id":"W2989655236","doi":"10.2139/ssrn.3454628","title":"In-Sample and Out-of-Sample Sharpe Ratios of Multi-Factor Asset Pricing Models","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sharpe ratio; Capital asset pricing model; Portfolio; Sample (material); Econometrics; Consumption-based capital asset pricing model; Economics; Asset (computer security); Market portfolio; Sample size determination; Actuarial science; Arbitrage pricing theory; Financial economics; Computer science; Statistics; Mathematics","score_opus":0.036242700211778056,"score_gpt":0.23796074335526057,"score_spread":0.20171804314348252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989655236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8532737,0.0021437018,0.13737716,0.0010528822,0.00024065402,0.00009593804,0.0009933091,0.00067552587,0.0041471724],"genre_scores_gemma":[0.98791796,0.0004922152,0.0080698235,0.00013737218,0.00019387683,0.000034103974,0.0011644313,0.00015244307,0.0018377695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99656844,0.0022389868,0.0001794872,0.00050877087,0.00023398426,0.000270275],"domain_scores_gemma":[0.88603973,0.10024183,0.0035676435,0.006048431,0.0026687337,0.001433579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018535722,0.0012841974,0.001968105,0.0011809428,0.00058404787,0.0030550065,0.00251399,0.0016621772,0.004985836],"category_scores_gemma":[0.08323227,0.00084618386,0.0015200814,0.00064189645,0.001185653,0.0047848993,0.0014286089,0.0032514664,0.00070968363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006745039,0.0023010478,0.11654272,0.0011451349,0.0043773283,0.0023465997,0.001437359,0.6525636,0.00507369,0.074910015,0.017762031,0.11479556],"study_design_scores_gemma":[0.00018430378,0.00043536982,0.020561779,0.000044829405,0.00047710983,0.00025314232,0.0002516298,0.94917536,0.002128617,0.025311291,0.0010698884,0.000106574415],"about_ca_topic_score_codex":0.0024903445,"about_ca_topic_score_gemma":0.0026895658,"teacher_disagreement_score":0.018535722,"about_ca_system_score_codex":0.0006838216,"about_ca_system_score_gemma":0.0007456502,"threshold_uncertainty_score":0.09802741},"labels":[],"label_agreement":null},{"id":"W2991371684","doi":"10.5539/ijef.v11n12p66","title":"Enhance and Protect Portfolio Returns: A Dynamic Put Spread Optimization","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Portfolio; Skew; Investment strategy; Computer science; Portfolio optimization; Mathematical optimization; Asset (computer security); Asset allocation; Replicating portfolio; Econometrics; Economics; Financial economics; Finance; Mathematics; Market liquidity","score_opus":0.009875708040911509,"score_gpt":0.2110711355757804,"score_spread":0.20119542753486888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991371684","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15648174,0.00038470764,0.8325913,0.00024084472,0.000034348246,0.00011685206,0.000047034086,0.00030568836,0.00979746],"genre_scores_gemma":[0.84759825,0.00016255122,0.14810024,0.00009772798,0.000024769783,0.00010396206,0.000062557825,0.00007729216,0.003772553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997111,0.000086350105,0.000013696568,0.00005376746,0.00008993508,0.00004503077],"domain_scores_gemma":[0.999571,0.00020417183,0.00007975759,0.000041817355,0.00006901621,0.00003427604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081109616,0.0010223449,0.00085073063,0.0005674341,0.00021306463,0.0012342264,0.0007349033,0.0012779629,0.0020329838],"category_scores_gemma":[0.0014919066,0.00043849973,0.0004976765,0.0003518971,0.00050418335,0.0010348887,0.0008028211,0.0007288987,0.0002974901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005860071,0.00007900085,0.00058172166,0.000029234192,0.000035097426,0.00006181322,0.00002061163,0.9661147,0.004854521,0.003796479,0.00021793663,0.024150249],"study_design_scores_gemma":[0.000012404119,0.00009622112,0.00015744177,0.000005466233,0.000015232872,0.00002119814,0.0000058083015,0.9968585,0.0013017115,0.0012384262,0.00028299144,0.000004656552],"about_ca_topic_score_codex":0.0007385795,"about_ca_topic_score_gemma":0.0005705775,"teacher_disagreement_score":0.0020329838,"about_ca_system_score_codex":0.00047285084,"about_ca_system_score_gemma":0.0005583628,"threshold_uncertainty_score":0.006801069},"labels":[],"label_agreement":null},{"id":"W2991682025","doi":"10.5539/ijef.v11n12p89","title":"Mutual Fund Styles and Clientele-Specific Performance Evaluation","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais; Université Laval","funders":"Swenson College of Science and Engineering, University of Minnesota Duluth; Université du Québec en Outaouais; Université Laval","keywords":"Equity (law); Mutual fund; Style analysis; Investment style; Value (mathematics); Returns-based style analysis; Style (visual arts); Business; Economics; Financial economics; Actuarial science; Open-end fund; Institutional investor; Microeconomics; Finance; Investment management; Statistics; Mathematics; Market liquidity; Profit (economics); Political science","score_opus":0.047476443937933495,"score_gpt":0.23685215384855854,"score_spread":0.18937570991062505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991682025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946737,0.000067590816,0.00067118986,0.000035734698,0.0000025929241,0.000020346184,0.00016251937,0.000011609448,0.0043546082],"genre_scores_gemma":[0.9992017,0.000022261756,0.0003005684,0.0000058039213,0.000006186874,0.0000081873395,0.00014459302,0.0000019887664,0.00030878972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982876,0.00043842453,0.00025706954,0.00012842024,0.0006842992,0.00020417296],"domain_scores_gemma":[0.98112786,0.004324525,0.0097829765,0.0011131286,0.002175543,0.0014759721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033135295,0.00040482113,0.00023604037,0.0032179768,0.00032011603,0.0014264835,0.00032234276,0.0004155831,0.002221063],"category_scores_gemma":[0.02123299,0.000082979706,0.00030063358,0.0015754902,0.00045749426,0.0012538466,0.001371571,0.00037174852,0.0005387474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014376725,0.000054856646,0.9800535,0.000016793956,0.00006159763,0.00004765733,0.00035854962,0.000747437,0.0005115809,0.0004346576,0.00020227273,0.01736738],"study_design_scores_gemma":[0.000012083954,0.00021197335,0.99277765,0.000014996261,0.000022564263,0.00017992055,0.0006491063,0.003280446,0.0010872885,0.0010129855,0.0007309946,0.00001992948],"about_ca_topic_score_codex":0.0009257037,"about_ca_topic_score_gemma":0.001816663,"teacher_disagreement_score":0.0033135295,"about_ca_system_score_codex":0.00066502765,"about_ca_system_score_gemma":0.00025349742,"threshold_uncertainty_score":0.017523825},"labels":[],"label_agreement":null},{"id":"W2992460887","doi":"10.1007/s11156-019-00863-y","title":"Has stock exchange demutualization improved market quality? International evidence","year":2019,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Laurentian University","funders":"Economic and Social Research Council","keywords":"Database transaction; Stock exchange; Business; Quality (philosophy); Monetary economics; Profit (economics); Finance; Economics; Computer science; Microeconomics","score_opus":0.11271503092436833,"score_gpt":0.32636459923775074,"score_spread":0.21364956831338242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992460887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6463462,0.28957206,0.0009953914,0.034759797,0.0008421533,0.00007683518,0.0027739876,0.000043036307,0.024590531],"genre_scores_gemma":[0.9223464,0.06796127,0.00060135295,0.0043761837,0.0014138974,0.000017350265,0.0015175134,0.000025333216,0.0017406376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968526,0.0009079193,0.00047897876,0.0006287645,0.0007556613,0.0003761167],"domain_scores_gemma":[0.9388932,0.02628762,0.023781873,0.0038918187,0.005634908,0.0015105798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010199542,0.000414535,0.0007013548,0.0017336665,0.0004204163,0.003146193,0.0013027509,0.0015608565,0.009146331],"category_scores_gemma":[0.042149685,0.000323816,0.0011836111,0.0029365192,0.0022213366,0.0031102586,0.0014333683,0.0020706553,0.00058061804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002914519,0.00053058483,0.7763381,0.001998685,0.0027801942,0.00024962603,0.0005442448,0.00065420766,0.0003458622,0.009848349,0.0053407378,0.19845484],"study_design_scores_gemma":[0.00020175929,0.00036806735,0.9706736,0.0009518454,0.0011763684,0.00022452991,0.0005678746,0.0002509824,0.00053867017,0.002576004,0.022442931,0.000027238933],"about_ca_topic_score_codex":0.0101654725,"about_ca_topic_score_gemma":0.00877119,"teacher_disagreement_score":0.010199542,"about_ca_system_score_codex":0.0013233431,"about_ca_system_score_gemma":0.001145993,"threshold_uncertainty_score":0.05394101},"labels":[],"label_agreement":null},{"id":"W2992989816","doi":"","title":"The Declining January Effect: Experience of Five G7 Countries","year":2006,"lang":"en","type":"article","venue":"Academy of Accounting and Financial Studies journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"January effect; Economics; Stock (firearms); Equity (law); Monetary economics; Volatility (finance); Weekend effect; Stock market; Explanatory power; Financial economics; Demographic economics; Geography","score_opus":0.023660377743852032,"score_gpt":0.26408352144551506,"score_spread":0.240423143701663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992989816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99711037,0.00038997844,0.000032050208,0.00023683545,0.000010846484,0.0000040844334,0.00011953255,0.000004572752,0.0020917824],"genre_scores_gemma":[0.99855894,0.00043070238,0.000045490844,0.00011426553,0.000015356214,0.0000025440818,0.0002086521,0.000004863856,0.00061926345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965346,0.00012705536,0.000026777212,0.00003222619,0.0000368706,0.00012363568],"domain_scores_gemma":[0.99865854,0.00033286196,0.0004683792,0.00009332376,0.00017330323,0.00027360904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078465394,0.0002100813,0.00026684196,0.00071217417,0.00066551706,0.0013279559,0.00025341113,0.00049694034,0.0014555134],"category_scores_gemma":[0.0016290847,0.00011028248,0.00016452161,0.0012779544,0.00067723525,0.00081539975,0.0013052722,0.00047212618,0.00032731332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000724913,0.00021677672,0.8454924,0.00027791027,0.00009907022,0.009783807,0.059854146,0.00080474914,0.0014827718,0.003485182,0.011007435,0.06677079],"study_design_scores_gemma":[0.000058247235,0.0006410032,0.83744955,0.00012331281,0.00006539563,0.003497687,0.09985558,0.00072695507,0.0015285976,0.0006648171,0.05532705,0.00006182672],"about_ca_topic_score_codex":0.009105403,"about_ca_topic_score_gemma":0.00792093,"teacher_disagreement_score":0.009105403,"about_ca_system_score_codex":0.00042662452,"about_ca_system_score_gemma":0.0003119656,"threshold_uncertainty_score":0.018104851},"labels":[],"label_agreement":null},{"id":"W2993103638","doi":"10.34989/swp-2019-46","title":"Extreme Downside Risk in Asset Returns","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Economic and Social Research Council; Systemic Risk Centre; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; University College London","keywords":"Downside risk; Stock market; Financial economics; Economics; Econometrics; Stock (firearms); Market risk; Business; Portfolio","score_opus":0.03905514337433099,"score_gpt":0.22456490145082905,"score_spread":0.18550975807649805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993103638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8164512,0.007289677,0.13257812,0.0039122454,0.0003775375,0.00006536225,0.0007673327,0.00041023074,0.038148355],"genre_scores_gemma":[0.9927792,0.0018587086,0.0016088045,0.00007268842,0.00015487826,0.00001537097,0.000152354,0.000022454775,0.0033355094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993735,0.00015810506,0.000042495118,0.0001385974,0.00018525808,0.00010206579],"domain_scores_gemma":[0.99745935,0.0013511907,0.0007187975,0.00017591943,0.00015809278,0.0001365749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015776039,0.0004595365,0.00053921796,0.0007199346,0.00026953543,0.0017546152,0.00029750032,0.0009771711,0.0041849753],"category_scores_gemma":[0.012640782,0.0003106413,0.0004128532,0.00087437313,0.0011397348,0.002374773,0.0011007735,0.0014303133,0.00066004065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004528953,0.00024309721,0.09687107,0.0004675327,0.00031815484,0.0042564366,0.0007191387,0.13012704,0.007464176,0.598281,0.016374305,0.14442506],"study_design_scores_gemma":[0.00004804977,0.00021797397,0.09325322,0.00015682822,0.00010124742,0.0017397346,0.00037656273,0.12604177,0.002316316,0.76660186,0.009058885,0.000087646484],"about_ca_topic_score_codex":0.0007951515,"about_ca_topic_score_gemma":0.00059879577,"teacher_disagreement_score":0.0041849753,"about_ca_system_score_codex":0.0003623936,"about_ca_system_score_gemma":0.00025947767,"threshold_uncertainty_score":0.014000118},"labels":[],"label_agreement":null},{"id":"W2993540953","doi":"10.7176/rjfa/10-22-03","title":"Influence of Earnings per Share on Idiosyncratic Volatility of Stock Returns among Listed Firms in Kenya","year":2019,"lang":"en","type":"article","venue":"Research Journal of Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Pontifícia Universidade Católica do Rio de Janeiro; Xiamen University; Guangdong University of Technology; University of Cambridge; Ankara Universitesi; Princeton University; University of Toronto; University of Southern California","keywords":"Volatility (finance); Economics; Econometrics; Stock exchange; Financial economics; Portfolio; Descriptive statistics; Statistic; Systematic risk; Stock (firearms); Business; Finance; Statistics","score_opus":0.03710437151190625,"score_gpt":0.2811544587502786,"score_spread":0.24405008723837235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993540953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999335,0.000108819615,0.000011639827,0.0000632521,0.0000016122547,0.0000022862178,0.000049497557,4.551604e-7,0.00042745256],"genre_scores_gemma":[0.9996549,0.00010120896,0.000016870074,0.000009316787,0.0000026327673,0.0000012342285,0.000039589308,3.578298e-7,0.00017390266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996201,0.00011711286,0.000040377512,0.000056066696,0.000060444225,0.000105920866],"domain_scores_gemma":[0.99781895,0.0007213899,0.0010138236,0.000048886664,0.00015408103,0.0002429038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043185745,0.00019840276,0.00023109691,0.00039373,0.0004985774,0.00071269996,0.00019527639,0.00026870563,0.0020319896],"category_scores_gemma":[0.00253781,0.00015859341,0.00029203223,0.0004930893,0.00032233354,0.00042563438,0.00045614783,0.00041339197,0.000151214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045846853,0.000044240223,0.99646145,0.000017570144,0.000033884204,0.00033669415,0.0007483776,0.00010075094,0.00024354689,0.00007986087,0.00008644016,0.0018014095],"study_design_scores_gemma":[0.0000016094874,0.000049750397,0.9975636,0.000018813074,0.00001856689,0.00009392616,0.0017641169,0.00026249833,0.00005855191,0.000029432851,0.00013494676,0.000004104467],"about_ca_topic_score_codex":0.038777355,"about_ca_topic_score_gemma":0.07920511,"teacher_disagreement_score":0.038777355,"about_ca_system_score_codex":0.0005207473,"about_ca_system_score_gemma":0.0006991772,"threshold_uncertainty_score":0.07710326},"labels":[],"label_agreement":null},{"id":"W2994085872","doi":"10.2139/ssrn.3451554","title":"The PAPM with Heterogeneous Preferences and Expectations","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Domtar (Canada); Occupational Cancer Research Centre","funders":"","keywords":"Business; Economics","score_opus":0.010295111140450626,"score_gpt":0.18647572531978535,"score_spread":0.17618061417933473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994085872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18550155,0.000874302,0.7498706,0.008987683,0.00028761485,0.00014336138,0.0011542223,0.00045928606,0.052721377],"genre_scores_gemma":[0.90304935,0.0005362402,0.05409345,0.0009513069,0.0005784447,0.00016955925,0.0003849816,0.00008284253,0.04015385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99818856,0.00089579105,0.000065007516,0.00044414663,0.0001469977,0.00025962465],"domain_scores_gemma":[0.99076486,0.0059431395,0.001024892,0.0011007541,0.00050436874,0.0006619716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032027345,0.0007450634,0.0018400826,0.0009583452,0.00087044167,0.003230196,0.0022330787,0.003306661,0.011963211],"category_scores_gemma":[0.018038705,0.00085073715,0.0014359258,0.00097615685,0.0019606114,0.0042716707,0.003173787,0.0028303312,0.001977664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026434357,0.000121533514,0.0040476164,0.00013559803,0.00014274525,0.001009147,0.00024462197,0.049078893,0.00057326164,0.9058951,0.007884135,0.03060288],"study_design_scores_gemma":[0.00008998269,0.00008790319,0.0007159635,0.000019788265,0.000030231193,0.0004066655,0.00007416457,0.37739137,0.00019475448,0.6191296,0.0018340037,0.000025558023],"about_ca_topic_score_codex":0.001758489,"about_ca_topic_score_gemma":0.00091725145,"teacher_disagreement_score":0.011963211,"about_ca_system_score_codex":0.00074110285,"about_ca_system_score_gemma":0.00088620756,"threshold_uncertainty_score":0.040020943},"labels":[],"label_agreement":null},{"id":"W2994315688","doi":"10.1111/irfi.12291","title":"Currency hedging and quantitative easing: Evidence from global bond markets","year":2019,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; Concordia University","funders":"","keywords":"Treasury; Quantitative easing; Bond; Economics; Monetary economics; Currency; Financial economics; Financial system; Econometrics; Central bank; Monetary policy; Finance","score_opus":0.047336639804765886,"score_gpt":0.29950818132127643,"score_spread":0.25217154151651056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994315688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98569185,0.0055090496,0.0006422039,0.00058601395,0.000020928743,0.000008426304,0.00022591732,0.000008731291,0.0073070205],"genre_scores_gemma":[0.99763525,0.0018017712,0.00010332098,0.000068415044,0.00003315793,0.0000016476496,0.00015794614,0.000003222614,0.00019526972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997003,0.000113608134,0.000027400089,0.00005743182,0.0000644198,0.000036750756],"domain_scores_gemma":[0.99073935,0.0034478868,0.004097047,0.00064448337,0.00064426375,0.00042690578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022451538,0.0002531443,0.00033432766,0.0008228497,0.00022587871,0.0016306101,0.00025515477,0.00039621734,0.0022851806],"category_scores_gemma":[0.0073151668,0.00011932882,0.00029515123,0.0019312854,0.0008669061,0.0012782679,0.00080108223,0.0006649364,0.00021224748],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010834289,0.00027246855,0.8730656,0.00034185903,0.00078901707,0.000502101,0.00058597344,0.006142021,0.0017513884,0.012362513,0.0022783766,0.100825265],"study_design_scores_gemma":[0.0000670993,0.00033783168,0.981244,0.00011770906,0.0003142083,0.0001948684,0.00087708933,0.0038491678,0.0011096646,0.0066669337,0.0051905815,0.0000308639],"about_ca_topic_score_codex":0.0021128645,"about_ca_topic_score_gemma":0.0013904241,"teacher_disagreement_score":0.0022851806,"about_ca_system_score_codex":0.00018856158,"about_ca_system_score_gemma":0.00014723733,"threshold_uncertainty_score":0.0118736625},"labels":[],"label_agreement":null},{"id":"W2995918552","doi":"10.1007/s11156-019-00864-x","title":"Does idiosyncratic risk matter in IPO long-run performance?","year":2019,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Autorité des Marchés Financiers","keywords":"Initial public offering; Systematic risk; Corporate finance; Autoregressive conditional heteroskedasticity; Economics; Monetary economics; Financial economics; Business; Econometrics; Finance; Volatility (finance)","score_opus":0.016869930457866403,"score_gpt":0.23782336075365895,"score_spread":0.22095343029579256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995918552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99495345,0.0011684404,0.0013745106,0.00056735566,0.000022379692,0.000008644695,0.00028777574,0.000017957755,0.0015994343],"genre_scores_gemma":[0.99930453,0.00017697753,0.000055300203,0.000025582834,0.00003207821,0.0000019003436,0.00013761195,0.0000030846297,0.00026297197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944943,0.00012606,0.00006918851,0.0001321614,0.00009166284,0.00013145947],"domain_scores_gemma":[0.9797997,0.004558438,0.012275876,0.0010736539,0.00096237217,0.0013299646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002113526,0.00021990975,0.0003781446,0.0007036143,0.0002026217,0.0015669969,0.00037290456,0.00084589206,0.0020858857],"category_scores_gemma":[0.012475657,0.00013922219,0.0004825074,0.0012617048,0.00051527476,0.0011756422,0.0007167889,0.00085695094,0.00043083177],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015428357,0.0000938537,0.9837474,0.00003119907,0.00017995808,0.00024836062,0.00012785007,0.0025648086,0.00045513004,0.00081885443,0.0003560442,0.0112223355],"study_design_scores_gemma":[0.0000054323214,0.00014024286,0.99305314,0.000024401808,0.000074401905,0.00016496178,0.00019281426,0.0036571855,0.0003407677,0.0018732174,0.00045966738,0.000013698256],"about_ca_topic_score_codex":0.0015693974,"about_ca_topic_score_gemma":0.0011988619,"teacher_disagreement_score":0.002113526,"about_ca_system_score_codex":0.00033191562,"about_ca_system_score_gemma":0.00023798856,"threshold_uncertainty_score":0.01117748},"labels":[],"label_agreement":null},{"id":"W2996436454","doi":"10.5430/ijfr.v11n1p462","title":"Capital Market Determinants and Market Capitalization in Nigeria","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Exchange rate; Economics; Interest rate; Capitalization; Market capitalization; Gross domestic product; Monetary economics; Inflation (cosmology); Order (exchange); Capital market; Capital (architecture); Capital formation; Macroeconomics; Financial capital; Finance; Stock market; Market economy; Human capital","score_opus":0.035934039525716714,"score_gpt":0.30507887854907734,"score_spread":0.2691448390233606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996436454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99362177,0.0005499651,0.00007397057,0.0003019126,0.0000064083897,0.000008130569,0.00017780783,0.0000017090236,0.005258296],"genre_scores_gemma":[0.9992902,0.00021906954,0.000020587442,0.000009550504,0.000004078765,0.0000016282146,0.00005356609,4.3786295e-7,0.00040088056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988294,0.000019793837,0.000012839782,0.000015247139,0.000021061587,0.000047984646],"domain_scores_gemma":[0.99853194,0.00044405521,0.0007542897,0.000022497185,0.00011223808,0.00013494218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038519566,0.000109278575,0.00013886104,0.00069775706,0.00028502566,0.0011383459,0.00009763306,0.00017091596,0.0026351407],"category_scores_gemma":[0.0018034927,0.00008648051,0.0001206394,0.0008402791,0.00029997932,0.0007782424,0.00031924102,0.00036871317,0.00014022851],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059734644,0.0000872192,0.9852958,0.000038379872,0.000020511003,0.0004826126,0.00068634405,0.000608611,0.00020949575,0.0044243517,0.0006246442,0.0074623534],"study_design_scores_gemma":[0.0000037379355,0.000028923132,0.99288696,0.00006697877,0.00001601463,0.00014748694,0.0016587385,0.0017437899,0.00020557735,0.0009230862,0.0023136905,0.0000049172536],"about_ca_topic_score_codex":0.014398296,"about_ca_topic_score_gemma":0.019534996,"teacher_disagreement_score":0.014398296,"about_ca_system_score_codex":0.00059345923,"about_ca_system_score_gemma":0.00054635695,"threshold_uncertainty_score":0.028629005},"labels":[],"label_agreement":null},{"id":"W2997630777","doi":"10.2139/ssrn.3316249","title":"Optimized Portfolio Using a Forward-Looking Expected Tail Loss","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Portfolio; Econometrics; Economics; Financial economics; Computer science; Actuarial science; Business","score_opus":0.014528375010827555,"score_gpt":0.2141778593749306,"score_spread":0.19964948436410307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997630777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04699726,0.0004359565,0.946571,0.00027917235,0.00008857576,0.000035465546,0.000061649895,0.00033700606,0.0051939874],"genre_scores_gemma":[0.835672,0.00039785993,0.14724116,0.00015982581,0.00013741026,0.00007403431,0.000199812,0.00016380567,0.015954021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996499,0.000120823184,0.000018206048,0.000053288622,0.00011210118,0.000045647423],"domain_scores_gemma":[0.9990859,0.00047549076,0.000094273804,0.00008444785,0.0001679289,0.00009186286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013418864,0.00072378037,0.0009977624,0.00047281614,0.00021636099,0.00165114,0.000841454,0.0013959595,0.0032419483],"category_scores_gemma":[0.0032113304,0.0004445469,0.0005540597,0.00043340362,0.0003491083,0.0015707794,0.0007037461,0.0007780104,0.00055154896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017319185,0.000067150846,0.0006888314,0.00004634719,0.00007630917,0.00013327392,0.000015033047,0.9454955,0.0030772826,0.01815167,0.0011433082,0.030932138],"study_design_scores_gemma":[0.000006773801,0.000020632555,0.00009299435,0.0000030170422,0.000009149478,0.000023150662,0.0000011795262,0.9972844,0.00029517995,0.002148411,0.000111276626,0.0000038116991],"about_ca_topic_score_codex":0.0009446727,"about_ca_topic_score_gemma":0.000815952,"teacher_disagreement_score":0.0032419483,"about_ca_system_score_codex":0.00064879726,"about_ca_system_score_gemma":0.00080385606,"threshold_uncertainty_score":0.010845423},"labels":[],"label_agreement":null},{"id":"W2997940347","doi":"10.5539/ijef.v12n1p52","title":"A Comparative Study between the Fama and French Three-Factor Model and the Fama and French Five-Factor Model: Evidence from the Egyptian Stock Market","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Econometrics; Portfolio; Economics; Capital asset pricing model; Stock (firearms); Factor analysis; Financial economics; Stock market; Investment (military); Finance","score_opus":0.06372276753654789,"score_gpt":0.25919919188002605,"score_spread":0.19547642434347817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997940347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9499396,0.0072562504,0.025569469,0.0044332105,0.00014736906,0.00011089555,0.0013446795,0.00020781258,0.010990786],"genre_scores_gemma":[0.9924442,0.0018844894,0.0026180914,0.00026638855,0.000117095275,0.000027878661,0.0014919001,0.000035202967,0.0011146921],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981383,0.00084033865,0.00012503636,0.0004078408,0.00028957595,0.0001988191],"domain_scores_gemma":[0.9727269,0.019943455,0.003314593,0.001256399,0.002127961,0.00063072616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008379372,0.0011927929,0.0013471332,0.0029744315,0.0011560384,0.0039642486,0.0018405626,0.0019621993,0.008046616],"category_scores_gemma":[0.02846954,0.00042473356,0.0027596096,0.0035175253,0.0012107781,0.0031673096,0.0008046841,0.0016216781,0.0013455534],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011209969,0.00042700945,0.7098138,0.0005642274,0.003008022,0.0033236775,0.002214777,0.097878926,0.0009242541,0.07406881,0.01119158,0.09546396],"study_design_scores_gemma":[0.00038559875,0.00080211693,0.36398017,0.0004972655,0.0019572938,0.0010301542,0.0057825833,0.5342042,0.00076985604,0.07398865,0.016310524,0.00029160004],"about_ca_topic_score_codex":0.056572564,"about_ca_topic_score_gemma":0.020127777,"teacher_disagreement_score":0.056572564,"about_ca_system_score_codex":0.0017768525,"about_ca_system_score_gemma":0.0013998469,"threshold_uncertainty_score":0.11248654},"labels":[],"label_agreement":null},{"id":"W2998128553","doi":"10.1111/ajfs.12278","title":"Insider Trading, Informativeness, and Price Efficiency Around the World","year":2019,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Enforcement; Insider trading; Earnings; Insider; Business; Stock price; Alternative trading system; Stock (firearms); Monetary economics; Algorithmic trading; Accounting; Economics; Finance; Law","score_opus":0.0303450477448292,"score_gpt":0.2365382371569295,"score_spread":0.2061931894121003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998128553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950185,0.00034785605,0.0009137404,0.00011725959,0.0000058544083,0.0000054093175,0.00022006583,0.00001273327,0.0033586049],"genre_scores_gemma":[0.99955314,0.000097587326,0.000106939486,0.000011385002,0.000011193688,9.97399e-7,0.00009834315,0.0000019976144,0.00011832518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992434,0.00020675971,0.000086425265,0.00015921862,0.0002233647,0.00008088955],"domain_scores_gemma":[0.95251346,0.009436369,0.033979014,0.0019215652,0.0014998941,0.00064973417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015917744,0.00019384093,0.00034219213,0.0014740791,0.00023542094,0.0018881371,0.0002402788,0.0003080093,0.0018163387],"category_scores_gemma":[0.011273204,0.00016043165,0.00021063286,0.0014136779,0.0010067457,0.0010621187,0.0006265255,0.00038519967,0.00019914038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016188307,0.000090401285,0.97010124,0.00006368883,0.00043628016,0.00028420173,0.0005679445,0.005970179,0.0015571055,0.0024324947,0.0005235237,0.017811023],"study_design_scores_gemma":[0.0000084215735,0.00009098536,0.99194896,0.000026317184,0.0000986591,0.00016188416,0.0004653198,0.0035570445,0.0009871034,0.0016362653,0.0009969947,0.000022096587],"about_ca_topic_score_codex":0.002105556,"about_ca_topic_score_gemma":0.0019765743,"teacher_disagreement_score":0.002105556,"about_ca_system_score_codex":0.00025670032,"about_ca_system_score_gemma":0.00017165695,"threshold_uncertainty_score":0.008418202},"labels":[],"label_agreement":null},{"id":"W2998639802","doi":"10.1016/j.jeca.2019.e00136","title":"Corporate events, return synchronicity and price efficiency","year":2019,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Scranton","keywords":"Economics; Inefficiency; Econometrics; Endogeneity; Synchronicity; Event study; Financial economics; Empirical evidence; Microeconomics","score_opus":0.02331610771762851,"score_gpt":0.20432621412954274,"score_spread":0.18101010641191423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998639802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9514226,0.00050282554,0.03530495,0.00045250458,0.00003485594,0.000022483684,0.00015337755,0.00008258111,0.0120239295],"genre_scores_gemma":[0.9987047,0.00006910188,0.00048742438,0.000013631958,0.00002373328,0.0000037040325,0.000046071127,0.000011746865,0.0006399274],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99942327,0.00015941274,0.00006913565,0.00014376726,0.00011226597,0.00009220614],"domain_scores_gemma":[0.97632104,0.016486976,0.004513857,0.0014275528,0.0006363443,0.0006142552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028044453,0.00018019992,0.0004846192,0.0010550532,0.00030770406,0.0026563685,0.0005180131,0.0008393372,0.0063645686],"category_scores_gemma":[0.033101846,0.00029266186,0.00028289962,0.001042394,0.0011654173,0.0033119882,0.0010020135,0.0008522784,0.00051615713],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017933175,0.00047383335,0.20055604,0.00014701702,0.0003930526,0.0010080271,0.0013177253,0.08244215,0.0090310685,0.61942524,0.0030602592,0.08035221],"study_design_scores_gemma":[0.00032775677,0.00031272593,0.26368424,0.000036915495,0.00018459544,0.00084710395,0.00085306255,0.14188711,0.0030433466,0.5853977,0.0033303904,0.00009495708],"about_ca_topic_score_codex":0.000741514,"about_ca_topic_score_gemma":0.00040787007,"teacher_disagreement_score":0.0063645686,"about_ca_system_score_codex":0.00051773863,"about_ca_system_score_gemma":0.00028062536,"threshold_uncertainty_score":0.021291554},"labels":[],"label_agreement":null},{"id":"W2998642182","doi":"10.1108/mf-12-2018-0607","title":"Multi-factor asset pricing models in emerging and developed markets","year":2019,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Consumption-based capital asset pricing model; Econometrics; Economics; Financial economics; Arbitrage pricing theory; Emerging markets; Factor analysis; Asset (computer security); Investment theory; Book value; Computer science; Finance","score_opus":0.036187265119990264,"score_gpt":0.2236246125246361,"score_spread":0.18743734740464585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998642182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9556458,0.0012621772,0.038343567,0.00048738925,0.000038702445,0.00008696407,0.00034115938,0.00010365612,0.0036906104],"genre_scores_gemma":[0.993328,0.00034143578,0.005419805,0.00004148221,0.000021979158,0.000026686654,0.00024035336,0.0000108186605,0.00056940626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981255,0.0011905661,0.00009070596,0.00022913016,0.00017749832,0.00018656116],"domain_scores_gemma":[0.98913455,0.007742599,0.001497791,0.000530892,0.00079554366,0.00029860472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007877329,0.0007137804,0.0009486742,0.0017096951,0.0004853103,0.002549172,0.0013988374,0.0007788887,0.001813835],"category_scores_gemma":[0.016352104,0.0002578092,0.0013865723,0.001631893,0.00092773803,0.0028225149,0.0011141861,0.0013310619,0.000201008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052266556,0.00039269603,0.18024345,0.0001919664,0.00076822384,0.00074626156,0.0005860888,0.7195654,0.00039054072,0.05165613,0.0017696164,0.04316694],"study_design_scores_gemma":[0.000056806886,0.00015855944,0.03439534,0.000039222716,0.000085428226,0.00009407524,0.00035505727,0.9406378,0.00018585024,0.023237359,0.000721356,0.00003307754],"about_ca_topic_score_codex":0.021271363,"about_ca_topic_score_gemma":0.010569297,"teacher_disagreement_score":0.021271363,"about_ca_system_score_codex":0.001373365,"about_ca_system_score_gemma":0.00093319593,"threshold_uncertainty_score":0.0422951},"labels":[],"label_agreement":null},{"id":"W2998719085","doi":"10.35536/ljb.2015.v3.i2.a3","title":"Demutualization in Developing and Developed Country Stock Exchanges","year":2015,"lang":"en","type":"article","venue":"Lahore Journal of Business","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kuala lumpur; Stock exchange; Composite index; Autoregressive conditional heteroskedasticity; Volatility (finance); Stock (firearms); Stock market index; Stock market; Index (typography); Business; Economics; Monetary economics; Financial economics; Geography; Finance; Computer science","score_opus":0.08357551747405774,"score_gpt":0.2463539755831765,"score_spread":0.16277845810911878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998719085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977744,0.0001629688,0.00010356359,0.000055004824,0.0000030644167,0.0000081019925,0.0000966296,0.0000050242743,0.0017912015],"genre_scores_gemma":[0.9994773,0.00011447855,0.000055914737,0.000014858183,0.000007117818,0.0000025504073,0.00012760924,8.3754287e-7,0.00019938851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994703,0.00012731503,0.00005809921,0.00006611224,0.00014675071,0.00013139816],"domain_scores_gemma":[0.99402833,0.0009822989,0.0040809736,0.0002100508,0.00035647742,0.00034199678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010135421,0.00017816137,0.00014222244,0.00097229145,0.00025782813,0.001123716,0.00019891931,0.00022965687,0.00076074386],"category_scores_gemma":[0.0046571186,0.00006821998,0.00022925781,0.0010660732,0.00035647157,0.0006821459,0.00058590923,0.00040767746,0.000071370945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050558953,0.00015329277,0.97674584,0.000033971934,0.000077015044,0.00070604234,0.00048823946,0.0032907042,0.0011855036,0.001749143,0.00040491894,0.014659747],"study_design_scores_gemma":[0.000010916321,0.00012069383,0.9928195,0.000009167636,0.000036458565,0.00015274671,0.0007855225,0.0030302333,0.0014503965,0.00027959203,0.0012935358,0.000011286346],"about_ca_topic_score_codex":0.007525934,"about_ca_topic_score_gemma":0.008072435,"teacher_disagreement_score":0.007525934,"about_ca_system_score_codex":0.000778666,"about_ca_system_score_gemma":0.00040105815,"threshold_uncertainty_score":0.014964223},"labels":[],"label_agreement":null},{"id":"W2999147422","doi":"10.5430/afr.v9n1p45","title":"Irrelevance of inflation: The Dow stocks","year":2020,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Stock (firearms); Financial economics; Inflation (cosmology); Valuation (finance); Real interest rate; Monetary economics; Econometrics; Interest rate; Finance","score_opus":0.10171153250788663,"score_gpt":0.29321676422059045,"score_spread":0.19150523171270384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999147422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65200156,0.025640458,0.022285387,0.023702279,0.00065474526,0.000071791124,0.00088312547,0.00008466656,0.27467597],"genre_scores_gemma":[0.9890323,0.0026251392,0.00071062153,0.0005617813,0.00035877345,0.000009047243,0.00012888246,0.000008649718,0.0065648644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995616,0.000070228605,0.000032340216,0.00010520144,0.00018418179,0.00004645755],"domain_scores_gemma":[0.9980445,0.0007344376,0.0006466732,0.0001792795,0.00025924083,0.00013591898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007285967,0.00022534264,0.0003498496,0.0013049876,0.0004716098,0.0022435202,0.00024089169,0.00046094894,0.0033671116],"category_scores_gemma":[0.0064649996,0.00013188204,0.00023439492,0.0012990135,0.0009878546,0.0022118124,0.00085304934,0.00094515877,0.00037571086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033200622,0.0000692912,0.1394034,0.00016698406,0.000118208816,0.0006843728,0.00070829986,0.0013108624,0.0009224062,0.73013633,0.0069280234,0.11921978],"study_design_scores_gemma":[0.000055121433,0.00023486502,0.19803283,0.00018424941,0.00014971259,0.0012761422,0.00069063524,0.0062542427,0.0016250055,0.746887,0.044539645,0.00007047826],"about_ca_topic_score_codex":0.0042590215,"about_ca_topic_score_gemma":0.0026250314,"teacher_disagreement_score":0.0042590215,"about_ca_system_score_codex":0.0007404463,"about_ca_system_score_gemma":0.0005297072,"threshold_uncertainty_score":0.011264145},"labels":[],"label_agreement":null},{"id":"W2999703491","doi":"10.1016/j.jeca.2020.e00179","title":"Recent evidence on international stock market’s overreaction","year":2020,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Stock (firearms); Stock market; Investment (military); Sample (material); Econometrics; Excess return; Market timing; Financial economics; Efficient-market hypothesis; Capital market; Investment strategy; Monetary economics; Finance; Portfolio","score_opus":0.08615824862375006,"score_gpt":0.2604531451027956,"score_spread":0.17429489647904556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999703491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8166253,0.029093055,0.0008348026,0.018674504,0.00039758292,0.000020400486,0.0021033862,0.000041072202,0.13220994],"genre_scores_gemma":[0.9876272,0.0068628527,0.00015388905,0.0015260648,0.0004885983,0.0000044385674,0.00086068455,0.000009129714,0.0024672954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945146,0.00007690066,0.00007465995,0.00011367695,0.00017507441,0.00010817946],"domain_scores_gemma":[0.9729065,0.009056575,0.011334184,0.0017293843,0.0041800984,0.00079325424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026871061,0.00026632522,0.00030774073,0.0023271865,0.0004503931,0.002618295,0.0006215308,0.0012836899,0.014614008],"category_scores_gemma":[0.014268971,0.00021175348,0.00028746735,0.0028818003,0.0013006292,0.002168155,0.0008914181,0.0015990736,0.0011253827],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00254108,0.0003811411,0.72739565,0.0011506873,0.0007277435,0.0011707246,0.002418969,0.0008363684,0.0044106105,0.07001388,0.022753468,0.16619974],"study_design_scores_gemma":[0.00006439016,0.00015150121,0.93049246,0.00037690115,0.0003518161,0.00067094294,0.002067943,0.0004244315,0.0024911633,0.008472625,0.05440231,0.00003344821],"about_ca_topic_score_codex":0.0046685007,"about_ca_topic_score_gemma":0.005721156,"teacher_disagreement_score":0.014614008,"about_ca_system_score_codex":0.0006877958,"about_ca_system_score_gemma":0.0003420087,"threshold_uncertainty_score":0.048888743},"labels":[],"label_agreement":null},{"id":"W3000868326","doi":"10.2139/ssrn.3239708","title":"Toeing the Informed Trading Line","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Business; Line (geometry)","score_opus":0.02422124088367006,"score_gpt":0.22659128050545888,"score_spread":0.20237003962178882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000868326","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12671563,0.0024946393,0.32559133,0.04051284,0.0018646976,0.00012456624,0.00049188454,0.0011973788,0.501007],"genre_scores_gemma":[0.8878424,0.001037442,0.021335136,0.0026351004,0.00055699464,0.00006805115,0.0001410506,0.00022607244,0.08615761],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998725,0.00043814923,0.00006315143,0.00024790966,0.00038387915,0.00014199846],"domain_scores_gemma":[0.9948284,0.0022565755,0.0006187547,0.0013951827,0.00056594884,0.00033518855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016712467,0.0004757169,0.0005395115,0.0006130821,0.0011525244,0.0070039746,0.0009303555,0.0047832625,0.037542082],"category_scores_gemma":[0.015511328,0.00042973534,0.00040513152,0.0005664517,0.0022998904,0.010453272,0.0019264128,0.003418949,0.007373377],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021139102,0.000055492932,0.0010278175,0.00004148412,0.000026326847,0.00051909004,0.0003314377,0.005371545,0.0010853794,0.92399246,0.011965534,0.055371996],"study_design_scores_gemma":[0.000025855252,0.000029743604,0.00022636776,0.000028637665,0.000008692315,0.00015823315,0.00012248702,0.01856549,0.00071870844,0.9634468,0.016652273,0.000016723761],"about_ca_topic_score_codex":0.0009658438,"about_ca_topic_score_gemma":0.0006993345,"teacher_disagreement_score":0.037542082,"about_ca_system_score_codex":0.0007706816,"about_ca_system_score_gemma":0.0009268537,"threshold_uncertainty_score":0.12559074},"labels":[],"label_agreement":null},{"id":"W3003035370","doi":"10.3390/jrfm13020019","title":"The Equity Curve and Its Relation to Future Stock Returns","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Economics; Stock (firearms); Econometrics; Yield curve; Financial economics; Equity risk; Monetary economics; Interest rate; Finance; Private equity; Geography","score_opus":0.027046578707388146,"score_gpt":0.22642896900546938,"score_spread":0.19938239029808125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003035370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8366352,0.00061726884,0.15540475,0.00021466748,0.00001806924,0.00003736635,0.00045545178,0.0002808183,0.0063363975],"genre_scores_gemma":[0.9901022,0.00016519437,0.008634892,0.000010584923,0.000014676257,0.000019009321,0.00026448534,0.00003215347,0.0007568424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941397,0.00017291226,0.00003440685,0.00009529236,0.00020603005,0.0000774293],"domain_scores_gemma":[0.9901405,0.006355129,0.0015598196,0.0006789522,0.00095535174,0.0003102555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015805223,0.00041880645,0.00025969103,0.0021612595,0.00013462332,0.0013259774,0.0003893389,0.0007214655,0.0014432906],"category_scores_gemma":[0.019834876,0.00019342921,0.00031703027,0.0011785132,0.00055099145,0.0015357097,0.0005457433,0.00080279127,0.0004592175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003660003,0.00014381496,0.56737846,0.00008981558,0.00022436568,0.00052716513,0.00043777694,0.22417092,0.014027451,0.041397564,0.0008072787,0.15042943],"study_design_scores_gemma":[0.000020723657,0.00022273,0.41416916,0.000042015323,0.000036632442,0.0005834911,0.00012108547,0.5448535,0.0053499495,0.032247126,0.0022532742,0.00010034527],"about_ca_topic_score_codex":0.0018630363,"about_ca_topic_score_gemma":0.00065072253,"teacher_disagreement_score":0.0021612595,"about_ca_system_score_codex":0.00045644358,"about_ca_system_score_gemma":0.00027705295,"threshold_uncertainty_score":0.008358717},"labels":[],"label_agreement":null},{"id":"W3003112838","doi":"10.2139/ssrn.3463429","title":"Intraday Jump Dynamics: What Predicts Price Jumps?","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; HEC Montréal","funders":"","keywords":"Jump; Dynamics (music); Economics; Econometrics; Mathematics; Statistical physics; Physics","score_opus":0.007664837663281995,"score_gpt":0.18342203162531512,"score_spread":0.17575719396203313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003112838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862002,0.0006853221,0.0071799806,0.001304359,0.00007507087,0.00001920245,0.0005586133,0.000106243046,0.003871071],"genre_scores_gemma":[0.9988695,0.00013995475,0.00027605033,0.00003501803,0.000051277675,0.000003505918,0.0001719894,0.000014928262,0.00043769865],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984527,0.000027452194,0.000011778487,0.00004619691,0.000022288355,0.000046974685],"domain_scores_gemma":[0.99491006,0.002939961,0.0009427899,0.00028849163,0.00032621837,0.0005925027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095834385,0.00034346123,0.00057171524,0.0009161137,0.0003088971,0.0020315999,0.0006310239,0.0017210197,0.0061340616],"category_scores_gemma":[0.014732323,0.00028229205,0.00042172562,0.00065874204,0.00034533205,0.0026809447,0.000607075,0.0014142778,0.0011718838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000797261,0.0005445612,0.86607933,0.00019625052,0.00028445126,0.00086998736,0.00039938508,0.048066292,0.006742527,0.017477414,0.00825044,0.050292097],"study_design_scores_gemma":[0.000053692147,0.00017870966,0.36055642,0.00008026556,0.00013621365,0.0005264057,0.00040106152,0.60338366,0.0013460085,0.031939093,0.001347041,0.000051453797],"about_ca_topic_score_codex":0.0020370162,"about_ca_topic_score_gemma":0.0012767713,"teacher_disagreement_score":0.0061340616,"about_ca_system_score_codex":0.00027835587,"about_ca_system_score_gemma":0.00025038436,"threshold_uncertainty_score":0.020520508},"labels":[],"label_agreement":null},{"id":"W3003705766","doi":"10.2139/ssrn.965592","title":"Does Investor Sentiment Really Matter for Equity Issuance Activity?","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Equity (law); Business; Financial system; Financial economics; Economics; Monetary economics; Political science; Law","score_opus":0.025755437864334076,"score_gpt":0.26949902574739903,"score_spread":0.24374358788306497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003705766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98504156,0.00058522425,0.000348083,0.0030417566,0.00011323137,0.000012350197,0.00039845068,0.00001172555,0.0104478],"genre_scores_gemma":[0.9984567,0.00013765054,0.000047302485,0.00022922806,0.000107992666,0.0000023140735,0.00015956903,0.0000071408645,0.00085215835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995597,0.00010490279,0.00004127735,0.00007963007,0.00006823727,0.00014629055],"domain_scores_gemma":[0.98192936,0.00758372,0.0064833015,0.00053624803,0.0010912535,0.0023759676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019516551,0.00022874342,0.0005727477,0.00049414515,0.00047469023,0.0019803764,0.00031564748,0.0016273678,0.010429518],"category_scores_gemma":[0.015460191,0.00019784945,0.00066278427,0.00048274663,0.0005728689,0.0016124662,0.0004586894,0.0013677967,0.0017328704],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065482524,0.00024992033,0.9815382,0.000057823712,0.00027034842,0.0003064615,0.00017173037,0.0002883949,0.0010046501,0.0016028113,0.0020363315,0.011818581],"study_design_scores_gemma":[0.00003531409,0.000217444,0.99329233,0.00002104078,0.0001699184,0.00014563874,0.00039564256,0.0010263415,0.00038066378,0.0032408517,0.0010637128,0.000011151191],"about_ca_topic_score_codex":0.0016996994,"about_ca_topic_score_gemma":0.002866574,"teacher_disagreement_score":0.010429518,"about_ca_system_score_codex":0.00034102378,"about_ca_system_score_gemma":0.00041237887,"threshold_uncertainty_score":0.034890234},"labels":[],"label_agreement":null},{"id":"W3004353514","doi":"10.2139/ssrn.1626711","title":"Fragmentation, Competition and Market Quality: A Post-Mifid Analysis","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Fragmentation (computing); Competition (biology); Quality (philosophy); Business; Industrial organization; Computer science; Physics","score_opus":0.010502890536244675,"score_gpt":0.2281201549445609,"score_spread":0.21761726440831622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004353514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766267,0.0005553986,0.008266706,0.0019649407,0.00003724116,0.00006280908,0.0006449043,0.00005820191,0.011783017],"genre_scores_gemma":[0.9955384,0.000112636284,0.0005602918,0.000064923406,0.00003853127,0.000013917621,0.00017796674,0.000008454339,0.0034847602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922645,0.00016585403,0.00002862296,0.00009587449,0.00020230985,0.00028101285],"domain_scores_gemma":[0.9832755,0.009828244,0.0023549988,0.0011120933,0.0017342702,0.0016949201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003475551,0.00022843151,0.0011553641,0.0018941143,0.0015981902,0.0027748316,0.0016972343,0.0008531725,0.023542587],"category_scores_gemma":[0.013041397,0.00022145333,0.0012563852,0.002434984,0.0030178258,0.0024692593,0.0022422608,0.0015309762,0.0006317204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019126426,0.00075030176,0.70423865,0.00020652838,0.0005943348,0.0017406357,0.0030994534,0.021463268,0.0014983383,0.16085444,0.009904192,0.093737245],"study_design_scores_gemma":[0.0002800551,0.0013344357,0.7975622,0.00008059751,0.0006787464,0.00049295486,0.008359898,0.111699544,0.0015738403,0.06533201,0.012483651,0.00012203146],"about_ca_topic_score_codex":0.03445987,"about_ca_topic_score_gemma":0.02964519,"teacher_disagreement_score":0.03445987,"about_ca_system_score_codex":0.002682067,"about_ca_system_score_gemma":0.0020451029,"threshold_uncertainty_score":0.07875776},"labels":[],"label_agreement":null},{"id":"W3004475486","doi":"10.1080/10971475.2020.1720956","title":"Challenges and Opportunities in China’s Financial Markets","year":2020,"lang":"en","type":"article","venue":"Chinese Economy","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"China; Financial market; Business; Financial system; Economics; Finance; Political science","score_opus":0.0702337196639919,"score_gpt":0.21861904325265652,"score_spread":0.14838532358866463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004475486","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20798291,0.059656695,0.002779167,0.637196,0.0022922105,0.00008076032,0.0008387145,0.000119114266,0.08905452],"genre_scores_gemma":[0.93532705,0.025615491,0.0015319973,0.020768607,0.002329531,0.00006726096,0.00027685135,0.000025539655,0.014057601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998865,0.00019399247,0.000045037566,0.00013474873,0.00032325063,0.00043793613],"domain_scores_gemma":[0.9978377,0.00036730155,0.0002753744,0.000052361258,0.00045407753,0.0010131989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00409298,0.00045153868,0.0008112052,0.0012715269,0.0030802477,0.007566073,0.0015695601,0.0047409995,0.013074403],"category_scores_gemma":[0.0037531094,0.00024220905,0.00042499762,0.0017093705,0.003960135,0.008623681,0.0028087252,0.0032334293,0.0007533033],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013238586,0.00015232433,0.0147502,0.0004952678,0.000056442783,0.0020698975,0.002733448,0.0036393527,0.0011810005,0.74970204,0.12013433,0.10495333],"study_design_scores_gemma":[0.00015808683,0.00017080143,0.045106247,0.00061577273,0.00003830341,0.0006096011,0.011320657,0.016446097,0.00060453214,0.5526597,0.37206987,0.00020034156],"about_ca_topic_score_codex":0.030545188,"about_ca_topic_score_gemma":0.031914283,"teacher_disagreement_score":0.030545188,"about_ca_system_score_codex":0.005823923,"about_ca_system_score_gemma":0.019264488,"threshold_uncertainty_score":0.06073475},"labels":[],"label_agreement":null},{"id":"W3004701703","doi":"10.3390/jrfm13020027","title":"The Distribution of Cross Sectional Momentum Returns When Underlying Asset Returns Are Student’s t Distributed","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Momentum (technical analysis); Econometrics; Asset (computer security); Salient; Capital asset pricing model; Ranking (information retrieval); Economics; Financial economics; Mathematics; Statistics; Geography; Computer science","score_opus":0.037795875657985444,"score_gpt":0.2518900610331567,"score_spread":0.21409418537517125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004701703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57210666,0.0012435629,0.41703263,0.0016927395,0.00009550093,0.00013190684,0.0006292539,0.0003885445,0.0066793608],"genre_scores_gemma":[0.9875042,0.00093403074,0.008080865,0.00009882577,0.00013210055,0.00008552722,0.0004131508,0.0000506676,0.0027006387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985629,0.00052566564,0.000086734464,0.00033928972,0.00023292282,0.0002524113],"domain_scores_gemma":[0.96395886,0.027817773,0.003539884,0.0021609522,0.0018157663,0.0007067639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007632225,0.00077781465,0.0014747326,0.0023605186,0.00051190745,0.002492564,0.0017018522,0.0021141244,0.005648809],"category_scores_gemma":[0.059644427,0.0006272466,0.00090356386,0.0018081606,0.0034432542,0.007935546,0.0014007064,0.0026614885,0.0007601554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006554827,0.00024537367,0.081598945,0.0003017096,0.0003102265,0.0018490555,0.0014088529,0.14317636,0.005180108,0.7043745,0.00404455,0.056854863],"study_design_scores_gemma":[0.00006730324,0.00023680292,0.037329447,0.00009262831,0.00008600256,0.001323679,0.0007164936,0.59316117,0.0025777353,0.36235562,0.0019161522,0.00013698862],"about_ca_topic_score_codex":0.0025082114,"about_ca_topic_score_gemma":0.0009555484,"teacher_disagreement_score":0.007632225,"about_ca_system_score_codex":0.0011793206,"about_ca_system_score_gemma":0.00060762634,"threshold_uncertainty_score":0.04036355},"labels":[],"label_agreement":null},{"id":"W3005711128","doi":"10.2139/ssrn.3413785","title":"A Credit-Based Theory of the Currency Risk Premium","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spinal Cord Injury BC","funders":"","keywords":"Currency; Risk premium; Monetary economics; Economics; Credit risk; Foreign exchange risk; Financial economics; Business; Financial system; Actuarial science","score_opus":0.009659934325370474,"score_gpt":0.18747315228182432,"score_spread":0.17781321795645386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005711128","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10370358,0.009902141,0.7162073,0.03346653,0.0012825547,0.000075833486,0.0005597677,0.00026201992,0.13454027],"genre_scores_gemma":[0.9490801,0.004247002,0.014951629,0.00076382665,0.0019006922,0.000049814407,0.00017879248,0.000056586712,0.02877139],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995926,0.00012013243,0.000026102201,0.0000862955,0.00012141053,0.000053450825],"domain_scores_gemma":[0.99792033,0.0011357247,0.0002723123,0.00019480055,0.00031807003,0.00015871116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020356665,0.0006451132,0.0006902,0.0014802346,0.0006366601,0.003958529,0.0017135148,0.0026712776,0.013420374],"category_scores_gemma":[0.008742148,0.00036272145,0.00064148393,0.0013313156,0.0021175435,0.0075931316,0.0012691777,0.0029156753,0.0010912836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074068066,0.000008975923,0.00033304928,0.000014883745,0.0000047159124,0.00005197564,0.000042091313,0.005489549,0.00011514289,0.9887355,0.0013651146,0.0038316306],"study_design_scores_gemma":[0.000009091125,0.000007347705,0.00036584184,0.000017160442,0.000005021128,0.000060474278,0.000015136241,0.03119671,0.000045451034,0.96667504,0.0015942182,0.000008421325],"about_ca_topic_score_codex":0.0019497492,"about_ca_topic_score_gemma":0.0009811966,"teacher_disagreement_score":0.013420374,"about_ca_system_score_codex":0.001352177,"about_ca_system_score_gemma":0.0009499024,"threshold_uncertainty_score":0.04489565},"labels":[],"label_agreement":null},{"id":"W3006023106","doi":"10.3390/jrfm15110498","title":"Carry Trade and Capital Market Returns in South Africa","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Economics; Carry (investment); Financial economics; Bond market; Bond; Equity risk; Equity capital markets; Capital asset pricing model; Volatility (finance); Monetary economics; Private equity; Finance","score_opus":0.01242782918913076,"score_gpt":0.17604427027251446,"score_spread":0.1636164410833837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006023106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980089,0.00018050105,0.00020982767,0.000072977935,0.0000013550527,0.000002798731,0.000041201638,0.0000027692445,0.0014797698],"genre_scores_gemma":[0.9996705,0.00009081613,0.00002947592,0.0000039482825,0.0000017212536,8.387352e-7,0.000019658073,0.0000012878949,0.00018182628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985313,0.000034937504,0.000009327492,0.000020421745,0.000026628171,0.00005562531],"domain_scores_gemma":[0.998587,0.00047128016,0.00074395066,0.000053232063,0.0000668202,0.00007775015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040417258,0.00027760715,0.00017172753,0.0008873673,0.00023871369,0.0012169615,0.000115338604,0.00022094358,0.0025021823],"category_scores_gemma":[0.0027619686,0.00012325558,0.00023584129,0.0007290075,0.0005090519,0.0011485842,0.00070092146,0.00032686678,0.00017773802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063318136,0.000116911295,0.91333616,0.00011279698,0.00026218835,0.0030959952,0.0029754734,0.017662853,0.006431109,0.018532608,0.0006277164,0.03621307],"study_design_scores_gemma":[0.000024808276,0.00011519302,0.9677838,0.00006352602,0.000087340624,0.00090092106,0.002910069,0.016448533,0.0022705358,0.0060295616,0.0033410515,0.000024589408],"about_ca_topic_score_codex":0.006965408,"about_ca_topic_score_gemma":0.005161731,"teacher_disagreement_score":0.006965408,"about_ca_system_score_codex":0.0005897054,"about_ca_system_score_gemma":0.00023503383,"threshold_uncertainty_score":0.013849735},"labels":[],"label_agreement":null},{"id":"W3006786020","doi":"10.2139/ssrn.3356995","title":"Do High-Frequency Traders Improve your Implementation Shortfall?","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Computer science","score_opus":0.016853207164855506,"score_gpt":0.23434524818603275,"score_spread":0.21749204102117725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006786020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7917698,0.0025773803,0.035333507,0.083810106,0.002373167,0.00022480042,0.00026504844,0.001422279,0.08222384],"genre_scores_gemma":[0.98245794,0.00028201423,0.005632056,0.003674031,0.00030915832,0.000038956747,0.00005827557,0.00010665943,0.0074408255],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9965737,0.0013651749,0.00022752523,0.00031299793,0.0008257328,0.0006948415],"domain_scores_gemma":[0.9539041,0.024382329,0.008064007,0.0033294915,0.0050914674,0.005228548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008604005,0.0002757522,0.0003780608,0.00043434097,0.0008438058,0.003434177,0.0007450095,0.0022718322,0.025113026],"category_scores_gemma":[0.08522465,0.00020058049,0.00036761162,0.00039264883,0.0005262119,0.004032432,0.0011793497,0.0020863097,0.005425335],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001553049,0.0023839152,0.14446788,0.00020368326,0.0002114187,0.00031966163,0.0013641543,0.00201182,0.002530243,0.013055709,0.029576648,0.80232185],"study_design_scores_gemma":[0.0026954832,0.01051222,0.4222719,0.0013981034,0.0012688014,0.0030582123,0.02190972,0.06886182,0.019650383,0.2260211,0.2219448,0.00040751343],"about_ca_topic_score_codex":0.00071895483,"about_ca_topic_score_gemma":0.0013311545,"teacher_disagreement_score":0.025113026,"about_ca_system_score_codex":0.0006101618,"about_ca_system_score_gemma":0.001750696,"threshold_uncertainty_score":0.084011436},"labels":[],"label_agreement":null},{"id":"W3007029200","doi":"10.1016/j.ememar.2020.100689","title":"Individual investors' propensity to speculate and A-share premiums in China's A-shares and H-shares","year":2020,"lang":"en","type":"article","venue":"Emerging Markets Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Shares outstanding; Construct (python library); Arbitrage; China; Stock dilution; Monetary economics; Financial economics; Business; Short interest ratio; Sample (material); Economics; Finance; Market maker","score_opus":0.056306430020357456,"score_gpt":0.23982935366649563,"score_spread":0.18352292364613818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007029200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99849236,0.000431704,0.00006405182,0.00011160368,0.000004850109,0.0000023510831,0.00007127964,0.0000014189715,0.0008203251],"genre_scores_gemma":[0.9993974,0.00018349887,0.0000146671655,0.000011430483,0.000009152893,5.6912717e-7,0.000058789195,3.4660493e-7,0.00032410436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991155,0.000011412503,0.0000074694567,0.000017000817,0.000021839645,0.000030661093],"domain_scores_gemma":[0.9986135,0.00038154688,0.0005961574,0.000043595697,0.00012667432,0.00023847829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051510095,0.00012655745,0.00014023145,0.00062568503,0.0001720122,0.00052384805,0.00020727034,0.00026801712,0.0019863672],"category_scores_gemma":[0.0012992381,0.00010471918,0.00030640577,0.0006557738,0.00028275212,0.0004954127,0.00025608772,0.00035533225,0.00010686402],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001301002,0.00003454398,0.98936355,0.000020430378,0.00012498091,0.00017948882,0.0002432823,0.0005444006,0.00054937985,0.00073790306,0.00024026529,0.007831589],"study_design_scores_gemma":[0.0000058580704,0.000038878647,0.997109,0.0000050693843,0.00004777542,0.00006986773,0.00020802351,0.0014722582,0.00015259656,0.0005034038,0.0003813981,0.000005898472],"about_ca_topic_score_codex":0.01182899,"about_ca_topic_score_gemma":0.020041514,"teacher_disagreement_score":0.01182899,"about_ca_system_score_codex":0.00044675404,"about_ca_system_score_gemma":0.00034326088,"threshold_uncertainty_score":0.02352029},"labels":[],"label_agreement":null},{"id":"W3007686345","doi":"10.15353/rea.v12i3.1698","title":"Value at Risk, Legislative Framework, Crises, and Procyclicality: what goes wrong?","year":2020,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Legislature; Economics; Stock (firearms); Value at risk; Financial crisis; Incentive; Risk management; Financial economics; Business; Monetary economics; Finance; Macroeconomics; Political science; Engineering; Microeconomics","score_opus":0.04453376093063253,"score_gpt":0.26694751723167814,"score_spread":0.22241375630104562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007686345","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21894087,0.23702036,0.02998951,0.4138422,0.0033016498,0.00007380215,0.00095591735,0.0001983612,0.09567728],"genre_scores_gemma":[0.92148864,0.05239454,0.0035681617,0.015967838,0.0037924792,0.000052554475,0.0002559905,0.00006283802,0.0024170275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962658,0.0018331471,0.00026988232,0.0005313498,0.0008632874,0.00023653646],"domain_scores_gemma":[0.95836467,0.025564333,0.009566141,0.002018568,0.0034230135,0.0010632998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008382431,0.00033322285,0.00090320193,0.0020574313,0.0008952087,0.0051079853,0.0015990973,0.0027217139,0.0046287314],"category_scores_gemma":[0.029351799,0.0002599541,0.00058601197,0.0028734582,0.006721783,0.0086798705,0.001758326,0.004442572,0.000537335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015964516,0.00018632895,0.043217264,0.0008589059,0.00022105723,0.0003589112,0.0019009738,0.0023850445,0.00026168907,0.73372763,0.023577377,0.19314525],"study_design_scores_gemma":[0.0000510595,0.00014946375,0.07581834,0.0024024115,0.00021109512,0.0005991884,0.005332276,0.0059512993,0.00040049973,0.84834576,0.060577597,0.00016101259],"about_ca_topic_score_codex":0.0041203178,"about_ca_topic_score_gemma":0.0031239248,"teacher_disagreement_score":0.008382431,"about_ca_system_score_codex":0.0012866172,"about_ca_system_score_gemma":0.0019562114,"threshold_uncertainty_score":0.044331014},"labels":[],"label_agreement":null},{"id":"W3008645232","doi":"10.2139/ssrn.891215","title":"Opposing Seasonalities in Treasury Versus Equity Returns","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto; York University","funders":"","keywords":"Treasury; Equity (law); Economics; Financial economics; Business; Econometrics; Actuarial science; Political science","score_opus":0.05192061638852335,"score_gpt":0.2714522229047167,"score_spread":0.21953160651619336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008645232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95460624,0.00096203026,0.002861293,0.0042678257,0.0001206788,0.000014302584,0.00026996006,0.000046587982,0.036851197],"genre_scores_gemma":[0.99693227,0.00022379306,0.00016342552,0.00031135874,0.00009285253,0.0000023299508,0.0000525998,0.000017468215,0.0022037937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995987,0.000083837345,0.000029520188,0.000101866564,0.00008370217,0.00010241195],"domain_scores_gemma":[0.9900641,0.0053766733,0.0024203027,0.00063809217,0.0007890569,0.0007117075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024217754,0.00016933339,0.00035080712,0.00043123012,0.00043900477,0.002171559,0.00045301465,0.0012123054,0.008334907],"category_scores_gemma":[0.01789271,0.00021002463,0.00030899842,0.0004204229,0.0007319989,0.0015284787,0.0005722588,0.001044771,0.0007887468],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00618582,0.0006804545,0.32160303,0.00046961897,0.0004768387,0.0012255611,0.0034944334,0.0124319205,0.034413844,0.44214013,0.019552039,0.15732633],"study_design_scores_gemma":[0.00028395193,0.0005473476,0.72713023,0.00011939515,0.00037366376,0.00053124083,0.003690156,0.01892839,0.0043482673,0.22991736,0.01405892,0.00007099231],"about_ca_topic_score_codex":0.0049347365,"about_ca_topic_score_gemma":0.010374191,"teacher_disagreement_score":0.008334907,"about_ca_system_score_codex":0.00085355225,"about_ca_system_score_gemma":0.0004387079,"threshold_uncertainty_score":0.027883053},"labels":[],"label_agreement":null},{"id":"W3008914103","doi":"10.5539/ijef.v12n3p73","title":"A Look at Behavioral Finance","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Behavioral economics; Arbitrage; Finance; Momentum (technical analysis); Economics; Capital asset pricing model; Prospect theory; Value (mathematics); Financial economics; Limits to arbitrage; Computer science","score_opus":0.042487231131368874,"score_gpt":0.23376420145910431,"score_spread":0.19127697032773544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008914103","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03532506,0.14938004,0.12965429,0.45251217,0.0053325566,0.00009738653,0.0006213351,0.00021329158,0.22686388],"genre_scores_gemma":[0.68105865,0.12780485,0.04118894,0.098810874,0.014931516,0.00028414457,0.00038447083,0.00021428813,0.035322294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984256,0.00080808817,0.000056644032,0.00018957737,0.0003688781,0.00015119804],"domain_scores_gemma":[0.9944878,0.003878471,0.000378167,0.00031901666,0.00059995294,0.00033650978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003487878,0.0005460714,0.00069202017,0.002292677,0.0010601403,0.004346509,0.0009820247,0.0036738755,0.0063703004],"category_scores_gemma":[0.0067416206,0.00031347777,0.0006510755,0.0019722409,0.008413284,0.008941461,0.0015131271,0.0073214895,0.00085435045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004729285,0.000029142657,0.0007830785,0.000053154763,0.00000801038,0.000027342006,0.00028538395,0.00034121523,0.00006268599,0.9858752,0.0037888535,0.008741177],"study_design_scores_gemma":[0.0000067794635,0.000042857053,0.0020247241,0.00028839166,0.000006615291,0.00009259949,0.00050288864,0.0018004389,0.000092575734,0.8956651,0.09945615,0.000020900985],"about_ca_topic_score_codex":0.0030790824,"about_ca_topic_score_gemma":0.0019692276,"teacher_disagreement_score":0.0063703004,"about_ca_system_score_codex":0.003343066,"about_ca_system_score_gemma":0.0014370347,"threshold_uncertainty_score":0.024255693},"labels":[],"label_agreement":null},{"id":"W3009529987","doi":"10.5539/mas.v14n4p1","title":"The Portfolio Optimization Performance during Malaysia’s 2018 General Election by Using Noncooperative and Cooperative Game Theory Approach","year":2020,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shapley value; Portfolio; Diversification (marketing strategy); Stochastic game; Economics; Portfolio optimization; Mathematical economics; Stock (firearms); Cooperative game theory; Game theory; Microeconomics; Sharpe ratio; Econometrics; Financial economics; Business","score_opus":0.022225261657756363,"score_gpt":0.19925199368785831,"score_spread":0.17702673203010194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009529987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814045,0.00024383569,0.008564885,0.00015383819,0.000018677238,0.00004706549,0.00011817376,0.000055628207,0.00939332],"genre_scores_gemma":[0.99656725,0.000064508786,0.001326477,0.00000937408,0.0000028586085,0.000011665341,0.00010496985,0.0000044452645,0.0019083498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994791,0.00016678798,0.000024765604,0.000071913935,0.000109893204,0.00014760371],"domain_scores_gemma":[0.99928683,0.00029999946,0.00010790572,0.000057595174,0.00015793386,0.000089690104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010743646,0.00035650624,0.00038153463,0.000524102,0.00030505419,0.0008720892,0.0003151261,0.00035936094,0.0016456251],"category_scores_gemma":[0.0028047266,0.00010381263,0.00029707374,0.00045054295,0.00022048228,0.00062057696,0.0005157664,0.00034365166,0.00019407357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095557596,0.00044511465,0.06599548,0.0001705,0.00016964556,0.00044631126,0.00035445558,0.7787843,0.005453604,0.014020875,0.003340975,0.12986316],"study_design_scores_gemma":[0.00004316326,0.0007217648,0.03557898,0.000019066705,0.00004720558,0.0001462339,0.00037031723,0.9496369,0.005440394,0.005120747,0.0028475155,0.000027635238],"about_ca_topic_score_codex":0.00749144,"about_ca_topic_score_gemma":0.008394528,"teacher_disagreement_score":0.00749144,"about_ca_system_score_codex":0.0011893954,"about_ca_system_score_gemma":0.000666272,"threshold_uncertainty_score":0.014895678},"labels":[],"label_agreement":null},{"id":"W3011123669","doi":"10.2139/ssrn.3463879","title":"Rediscovering the CCAPM Lost in Data Revisions","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Econometrics; Philosophy; Economics","score_opus":0.028688776112968425,"score_gpt":0.23024898770891528,"score_spread":0.20156021159594684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011123669","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036355555,0.015310896,0.20416664,0.3038067,0.17173201,0.0034164854,0.052344993,0.02855641,0.18431039],"genre_scores_gemma":[0.37175432,0.005285825,0.19009794,0.16671143,0.051654615,0.0059589096,0.032823585,0.026256055,0.14945747],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.7945447,0.084515534,0.031079018,0.020755053,0.06441827,0.0046874536],"domain_scores_gemma":[0.16231832,0.31281188,0.04719623,0.33589214,0.13505772,0.006723729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.17176743,0.0019391582,0.0020933612,0.022971923,0.0045214402,0.01535407,0.0043766685,0.0058881706,0.044283252],"category_scores_gemma":[0.7454505,0.0021397918,0.0026920177,0.021476706,0.0057423734,0.010406782,0.01047131,0.011138645,0.042813107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008534578,0.00010923978,0.012875487,0.0012756246,0.00029453196,0.0005904481,0.0025707437,0.0007275457,0.0014870778,0.021579636,0.6359529,0.3216833],"study_design_scores_gemma":[0.00018495377,0.00010328714,0.01304258,0.002540001,0.0002295458,0.00079323916,0.0011715468,0.0046407105,0.0037159352,0.042243175,0.9311447,0.00019033645],"about_ca_topic_score_codex":0.007970617,"about_ca_topic_score_gemma":0.010323338,"teacher_disagreement_score":0.17176743,"about_ca_system_score_codex":0.0063350424,"about_ca_system_score_gemma":0.013316035,"threshold_uncertainty_score":0.9084039},"labels":[],"label_agreement":null},{"id":"W3011739901","doi":"10.5430/afr.v9n2p1","title":"Flight to Quality Existence in the Egyptian Stock Market: An Analysis of Stock Market, Quality Stock and Treasury Bills","year":2020,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Treasury; Stock market; Stock (firearms); Portfolio; Economics; Portfolio insurance; Financial economics; Stock market bubble; Primary market; Business; Monetary economics; Portfolio optimization; Replicating portfolio; Engineering","score_opus":0.19058647060692452,"score_gpt":0.3704250344572686,"score_spread":0.17983856385034408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011739901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992581,0.00005734218,0.00007478167,0.000041486812,0.0000011945724,0.0000029673995,0.0001046252,0.0000021290032,0.00045743384],"genre_scores_gemma":[0.9994087,0.000042892992,0.000054789398,0.000008139166,0.0000033276717,0.0000012514404,0.00024431964,8.705672e-7,0.00023565198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984336,0.000016741946,0.000019177096,0.000023681096,0.00005637801,0.00004062657],"domain_scores_gemma":[0.9985209,0.00025550358,0.0007702795,0.00007410461,0.0002332073,0.00014599363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045317013,0.0001269222,0.00018040244,0.0013230717,0.00018598019,0.0010032577,0.00017144022,0.00033473302,0.0013128452],"category_scores_gemma":[0.0018407545,0.00008564204,0.00031966955,0.0013090258,0.0002619372,0.0006712452,0.00032740322,0.00041413627,0.00013096009],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101149046,0.000050218034,0.9917064,0.000013868982,0.00005810629,0.00025035848,0.00020424118,0.0009782204,0.0008678508,0.0007345212,0.00024018259,0.004794821],"study_design_scores_gemma":[0.0000019469055,0.000027572733,0.9968567,0.0000032394548,0.000012548601,0.000043162425,0.00022894827,0.002342097,0.00013624334,0.000113017144,0.00023065659,0.000003817964],"about_ca_topic_score_codex":0.014449529,"about_ca_topic_score_gemma":0.012543721,"teacher_disagreement_score":0.014449529,"about_ca_system_score_codex":0.0005812143,"about_ca_system_score_gemma":0.00031355725,"threshold_uncertainty_score":0.02873087},"labels":[],"label_agreement":null},{"id":"W3011920288","doi":"10.5430/ijfr.v11n2p26","title":"Do Investors’ Exhibit Cognitive Biases: Evidence From Indian Equity Market","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Affect (linguistics); Investment (military); Behavioral economics; Capital market; Investment decisions; Business; Financial market; Institutional investor; Economics; Cognitive bias; Financial economics; Finance; Cognition; Actuarial science; Psychology; Corporate governance","score_opus":0.3385140577615298,"score_gpt":0.404644670542953,"score_spread":0.06613061278142318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011920288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984475,0.00010097139,0.00003335633,0.00013837792,0.000002971149,0.0000036075025,0.000024465318,8.22665e-7,0.0012480222],"genre_scores_gemma":[0.99969935,0.000104445346,0.000023547527,0.000052305437,0.0000062779723,0.0000017780294,0.000019858719,5.077755e-7,0.00009203031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988668,0.00035439013,0.000087440334,0.00009143834,0.00040064612,0.0001993667],"domain_scores_gemma":[0.98399055,0.006229633,0.006686347,0.001034357,0.0012078146,0.0008512016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019433349,0.00014743036,0.00019003116,0.00095701765,0.00046595687,0.0013135312,0.00039419494,0.00043756186,0.0013366988],"category_scores_gemma":[0.014129864,0.0001356806,0.00023667878,0.00090410083,0.0009825568,0.0006578386,0.0006702071,0.00064036855,0.00018245635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018701782,0.00013488463,0.9853119,0.000028347657,0.00006426856,0.00013950144,0.0046971394,0.000055198547,0.00029559364,0.00026185677,0.00015166846,0.008672584],"study_design_scores_gemma":[0.0000044671083,0.000054946766,0.99643326,0.000011286624,0.000022888253,0.00008268089,0.0025604211,0.00013821405,0.00014517647,0.00020047829,0.00033810572,0.000008254651],"about_ca_topic_score_codex":0.009771218,"about_ca_topic_score_gemma":0.008781229,"teacher_disagreement_score":0.009771218,"about_ca_system_score_codex":0.0003496207,"about_ca_system_score_gemma":0.00046531216,"threshold_uncertainty_score":0.01942873},"labels":[],"label_agreement":null},{"id":"W3011921522","doi":"10.5430/ijfr.v11n2p255","title":"Transmission of Information of the Indonesian Dual Listed Shares","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Business; Stock (firearms); Indonesian; Database transaction; Listing (finance); Market maker; Information transmission; Stock market; Monetary economics; Economics; Finance; Computer science; Database; Geography","score_opus":0.08637597738665685,"score_gpt":0.30706427513274265,"score_spread":0.22068829774608578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011921522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955835,0.00010882566,0.00024861458,0.00016387396,0.000006988172,0.0000083235,0.00023962857,0.0000055721525,0.0036346284],"genre_scores_gemma":[0.9991591,0.00008034518,0.00009035123,0.0000114855,0.000007025058,0.0000022029647,0.00011777618,9.924693e-7,0.0005307318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996326,0.00005822236,0.000038647326,0.000065650085,0.0001516046,0.00005329329],"domain_scores_gemma":[0.99574995,0.0015151193,0.0020534745,0.00021111869,0.00032823146,0.00014213593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004915384,0.000117923235,0.00017723523,0.0007385961,0.00014904341,0.0010692923,0.00018823789,0.0002663463,0.0019058698],"category_scores_gemma":[0.0059512495,0.00013853055,0.00015302347,0.0006227428,0.00017826808,0.0007939867,0.00039519186,0.0004886269,0.00027435212],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041313673,0.00029435274,0.9336496,0.00008584054,0.00014997437,0.0012609294,0.0023475806,0.003019751,0.0066807535,0.0029353239,0.0011451144,0.048017703],"study_design_scores_gemma":[0.0000073888496,0.00011292989,0.9886475,0.000022674638,0.00004752402,0.0003095724,0.0009301797,0.006710311,0.0014323352,0.00070750917,0.0010557781,0.000016227736],"about_ca_topic_score_codex":0.004813762,"about_ca_topic_score_gemma":0.0038458067,"teacher_disagreement_score":0.004813762,"about_ca_system_score_codex":0.0004485475,"about_ca_system_score_gemma":0.0002105403,"threshold_uncertainty_score":0.009571493},"labels":[],"label_agreement":null},{"id":"W3011948667","doi":"10.5430/ijfr.v11n2p77","title":"Funds Manager and Mutual Funds Characteristics on Mutual Funds Performance: Empirical Evidence of Equity Mutual Funds in Indonesia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Passive management; Fund of funds; Business; Closed-end fund; Open-end fund; Finance; Expense ratio; Institutional investor; Corporate governance","score_opus":0.3470037993275271,"score_gpt":0.409862970038846,"score_spread":0.06285917071131886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011948667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999005,0.00023439556,0.000017535862,0.00008575988,0.0000028355262,0.0000015650635,0.000060304006,0.0000012010211,0.00059130904],"genre_scores_gemma":[0.99966645,0.000098502605,0.000020733636,0.000010763989,0.000009508033,0.0000014213989,0.00006105909,7.090723e-7,0.00013083119],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898726,0.00022209136,0.0001464574,0.00013353526,0.00031985395,0.00019071558],"domain_scores_gemma":[0.99104416,0.0012395654,0.006325517,0.00018095484,0.00030506979,0.00090476556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011970036,0.00015933126,0.00028770452,0.0010848121,0.00030494135,0.0010568781,0.00032822986,0.0003109972,0.0015709006],"category_scores_gemma":[0.005143326,0.00010284211,0.00030163323,0.001326465,0.00043414583,0.0007535065,0.0010356319,0.0003770061,0.00026090807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030282872,0.000022730366,0.99746835,0.000007975579,0.00002165551,0.00006117589,0.00021561673,0.000031227024,0.000044106175,0.00004643159,0.00008202305,0.0019683675],"study_design_scores_gemma":[9.943305e-7,0.000018868799,0.9992674,0.0000066025386,0.000009330913,0.000047828817,0.00036332986,0.00007789013,0.000025418947,0.000015345522,0.00016564729,0.0000013627149],"about_ca_topic_score_codex":0.0059041968,"about_ca_topic_score_gemma":0.008200566,"teacher_disagreement_score":0.0059041968,"about_ca_system_score_codex":0.0005442138,"about_ca_system_score_gemma":0.00068668206,"threshold_uncertainty_score":0.011739671},"labels":[],"label_agreement":null},{"id":"W3012115342","doi":"10.1093/rapstu/raaa002","title":"Stock Price Movements: Business-Cycle and Low-Frequency Perspectives","year":2020,"lang":"en","type":"article","venue":"The Review of Asset Pricing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Predictability; Economics; Dividend; Business cycle; Dividend yield; Econometrics; Cash flow; Financial economics; Stock (firearms); Yield (engineering); Horizon; Yield curve; Monetary economics; Dividend policy; Mathematics; Statistics; Finance; Keynesian economics; Interest rate; Engineering","score_opus":0.04715779902663402,"score_gpt":0.2748732534459575,"score_spread":0.22771545441932345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012115342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60856587,0.24442454,0.04351647,0.026067216,0.00082921487,0.00004998821,0.0012720552,0.00013416958,0.075140536],"genre_scores_gemma":[0.9721646,0.02279407,0.001761023,0.00055261323,0.00096589554,0.000008379434,0.00015819428,0.000013045118,0.001581973],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99980766,0.000057578553,0.000016304917,0.0000419643,0.00005898583,0.000017511951],"domain_scores_gemma":[0.99700624,0.0016945166,0.00063390937,0.00011587486,0.00041576163,0.00013368059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086463126,0.00026576364,0.0003759875,0.0017385938,0.00014413997,0.002889121,0.00036649854,0.0007565363,0.0026289495],"category_scores_gemma":[0.0056002773,0.00014451456,0.00023032942,0.0022812996,0.00071791693,0.001895994,0.00045386725,0.0009053098,0.00034287106],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023756425,0.00014339952,0.16536728,0.0013086811,0.00044233896,0.000769334,0.0007026962,0.031383377,0.0048969584,0.3275498,0.0126220705,0.45457664],"study_design_scores_gemma":[0.00004842084,0.00013003535,0.39659545,0.0011059236,0.00024218619,0.0004619884,0.0007965471,0.11472476,0.0014295317,0.42584878,0.058509003,0.000107239415],"about_ca_topic_score_codex":0.0028056032,"about_ca_topic_score_gemma":0.0015586258,"teacher_disagreement_score":0.002889121,"about_ca_system_score_codex":0.00046444123,"about_ca_system_score_gemma":0.0002555633,"threshold_uncertainty_score":0.008794725},"labels":[],"label_agreement":null},{"id":"W3012347546","doi":"10.1016/j.intfin.2020.101190","title":"The price of international equity ETFs: The role of relative liquidity","year":2020,"lang":"en","type":"article","venue":"Journal of International Financial Markets Institutions and Money","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Equity (law); Net asset value; Monetary economics; Business; Liquidity premium; Financial economics; Liquidity risk; Economics; Financial system; Finance","score_opus":0.03963421230446285,"score_gpt":0.2599956187425813,"score_spread":0.22036140643811847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012347546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8745226,0.0072112367,0.014973978,0.013239263,0.00044850208,0.000020168682,0.00041943902,0.00014356528,0.08902123],"genre_scores_gemma":[0.9952809,0.0007265107,0.00035126216,0.00009491837,0.00027419327,0.0000035222522,0.00004176331,0.000022607657,0.0032041953],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99980646,0.00005631526,0.000014006925,0.000038888502,0.000052411808,0.00003188948],"domain_scores_gemma":[0.99330854,0.0040754373,0.001658533,0.00020068864,0.00038902427,0.0003676957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010306573,0.0002744853,0.0004472886,0.000784879,0.00037270412,0.0058110133,0.00078584114,0.0020414907,0.009360528],"category_scores_gemma":[0.013880412,0.00029270732,0.0002543564,0.0008746898,0.0014828948,0.0074893134,0.00064405653,0.0024794918,0.00046542904],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006390193,0.00015858389,0.023208076,0.00018485937,0.00007814148,0.0010290617,0.0006803561,0.023307038,0.0040173526,0.8946125,0.0074979044,0.04458713],"study_design_scores_gemma":[0.0001855734,0.00019933288,0.08047919,0.00017645115,0.00014020673,0.00072573806,0.0011627987,0.1466392,0.0027495308,0.75540435,0.0119705675,0.00016702047],"about_ca_topic_score_codex":0.0020205642,"about_ca_topic_score_gemma":0.0014442435,"teacher_disagreement_score":0.009360528,"about_ca_system_score_codex":0.0011105133,"about_ca_system_score_gemma":0.00050700357,"threshold_uncertainty_score":0.031314075},"labels":[],"label_agreement":null},{"id":"W3013104303","doi":"10.2139/ssrn.3521041","title":"Contractual and Tournament Incentives in the Mutual Fund Industry","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tournament; Incentive; Mutual fund; Business; Fund administration; Finance; Investment fund; Economics; Microeconomics","score_opus":0.04750031484093578,"score_gpt":0.24192933837552894,"score_spread":0.19442902353459315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013104303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9632595,0.00044266888,0.0067648683,0.0020630523,0.000041264604,0.000042219803,0.000078899095,0.000042529435,0.027265098],"genre_scores_gemma":[0.9969675,0.00006037923,0.00036010734,0.000038709353,0.000018370089,0.000008691553,0.000015620495,0.000002603915,0.0025279697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99770963,0.0012126374,0.0001115297,0.00014733437,0.00019962553,0.0006192489],"domain_scores_gemma":[0.9685744,0.018281383,0.0061528287,0.0010726555,0.0012077569,0.0047110165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061579826,0.00015647395,0.00052295654,0.00066340674,0.001160644,0.0033060673,0.0008001206,0.0023563257,0.010869662],"category_scores_gemma":[0.031425007,0.00024794223,0.00030565474,0.000683502,0.0012888819,0.0023043226,0.0011509532,0.0014468788,0.00042295214],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031749879,0.0013648532,0.11476417,0.00016681134,0.00011258102,0.0005352509,0.0019211416,0.040573422,0.0018411626,0.7343163,0.008718399,0.0925109],"study_design_scores_gemma":[0.00071798556,0.0008774723,0.116222024,0.00011027748,0.00011090533,0.00037460116,0.00381254,0.1785412,0.0008020226,0.68489313,0.013410216,0.0001276795],"about_ca_topic_score_codex":0.005556055,"about_ca_topic_score_gemma":0.009723787,"teacher_disagreement_score":0.010869662,"about_ca_system_score_codex":0.0019153684,"about_ca_system_score_gemma":0.0021262912,"threshold_uncertainty_score":0.03636259},"labels":[],"label_agreement":null},{"id":"W3013122213","doi":"10.2139/ssrn.2427567","title":"Does Competition between Stars Increase Output? Evidence from Financial Analyst Forecasts","year":2019,"lang":"en","type":"article","venue":"OpenBU (Boston University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Earnings; Competition (biology); Tournament; Star (game theory); Cover (algebra); Economics; Business; Finance; Financial economics","score_opus":0.031133386718604605,"score_gpt":0.1930489317059579,"score_spread":0.1619155449873533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013122213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99159425,0.00033120692,0.00021526,0.0009102013,0.000013054989,0.0000057742523,0.000302235,0.000009837821,0.0066182096],"genre_scores_gemma":[0.99903226,0.00010737754,0.000060208527,0.00007780499,0.000025637502,0.0000012280747,0.00018328421,0.0000029753653,0.00050928723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991335,0.0002362364,0.000064431726,0.00020104209,0.00021322834,0.00015158152],"domain_scores_gemma":[0.9374483,0.034535017,0.01839599,0.0014837804,0.0021274127,0.006009403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016657178,0.00019544366,0.00036014206,0.0008855214,0.0005546977,0.0019591416,0.0003994234,0.0011022389,0.009131538],"category_scores_gemma":[0.020886458,0.00018142398,0.00032372554,0.00087250135,0.00054972334,0.0010029963,0.0008166287,0.00059526204,0.0008832062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051538914,0.00015140019,0.98435736,0.000035809262,0.00007892254,0.00012194108,0.0002538907,0.00045868807,0.00049493735,0.0006496197,0.0009154678,0.011966484],"study_design_scores_gemma":[0.000042805397,0.00019900958,0.99509037,0.000015138442,0.000045014764,0.000058596488,0.00044515132,0.0016435713,0.00030607526,0.0010339941,0.0011110242,0.000009133023],"about_ca_topic_score_codex":0.009224332,"about_ca_topic_score_gemma":0.00956335,"teacher_disagreement_score":0.009224332,"about_ca_system_score_codex":0.00044598492,"about_ca_system_score_gemma":0.0004235921,"threshold_uncertainty_score":0.030548096},"labels":[],"label_agreement":null},{"id":"W3013169951","doi":"10.2139/ssrn.3489347","title":"Option Returns: Closing Prices Are Not What You Pay","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Closing (real estate); Financial economics; Economics; Business; Finance","score_opus":0.016006069873077646,"score_gpt":0.2066521682564919,"score_spread":0.19064609838341426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013169951","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25760242,0.011370157,0.11711308,0.23807357,0.0071975505,0.000052517,0.0008353876,0.0008428206,0.36691254],"genre_scores_gemma":[0.9504469,0.00252558,0.004927642,0.0057797516,0.0019647332,0.000025974277,0.00016220228,0.00018698019,0.033980194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990414,0.00024716838,0.000057243313,0.0001965868,0.00035205175,0.00010549885],"domain_scores_gemma":[0.99168175,0.003978067,0.0015342475,0.00086232973,0.0010835809,0.0008600404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001826569,0.00046013808,0.00060499937,0.00048381768,0.00071743195,0.005823307,0.0006521875,0.0037932394,0.02220844],"category_scores_gemma":[0.032255314,0.0002050673,0.00021524391,0.000713992,0.0022410215,0.011936226,0.0010658522,0.00431028,0.0048411326],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036886352,0.00023213889,0.008793534,0.00017436213,0.000095244344,0.0005593456,0.0007053233,0.002531137,0.002472743,0.6938704,0.07787323,0.21232374],"study_design_scores_gemma":[0.00003989553,0.00007002391,0.0047354936,0.0001257038,0.000035832072,0.00075963675,0.00057790475,0.0064066825,0.001010397,0.95405793,0.03212256,0.000057803925],"about_ca_topic_score_codex":0.0005844376,"about_ca_topic_score_gemma":0.0003374506,"teacher_disagreement_score":0.02220844,"about_ca_system_score_codex":0.00052876334,"about_ca_system_score_gemma":0.00056562416,"threshold_uncertainty_score":0.07429469},"labels":[],"label_agreement":null},{"id":"W3013783502","doi":"10.5430/ijfr.v11n2p390","title":"A Test of Return Predictability in the Vietnamese Stock Market","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vietnamese; Stock market; Predictability; Volatility (finance); Financial economics; Economics; Business; Stock (firearms); Market depth; Market efficiency; Monetary economics; Context (archaeology)","score_opus":0.10481424994053115,"score_gpt":0.331364731741912,"score_spread":0.22655048180138085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013783502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997143,0.00002605818,0.0011759768,0.00009786493,0.0000073366923,0.000006862657,0.000089742716,0.000008125766,0.0014449809],"genre_scores_gemma":[0.9996803,0.000007360905,0.000099269164,0.0000056162144,0.000006987339,0.0000019363802,0.00009665826,0.00000142454,0.00010043462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983405,0.0006343643,0.00015086238,0.00031890848,0.00030436844,0.00025098008],"domain_scores_gemma":[0.9737673,0.019182255,0.0035537896,0.0012893229,0.0012387251,0.000968689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003135089,0.00028047423,0.0002927534,0.0009848736,0.00035262128,0.0009250226,0.00030255283,0.00029948726,0.0022546505],"category_scores_gemma":[0.02043217,0.00013952614,0.00041943393,0.00059695635,0.00073816965,0.0009697732,0.00069212174,0.0005649455,0.00019631811],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026724735,0.00015984738,0.9707911,0.00002295527,0.0002232043,0.0003434115,0.00039802538,0.005788734,0.0020427874,0.004869118,0.00045154602,0.014641936],"study_design_scores_gemma":[0.00002965645,0.00060431025,0.8870068,0.00001038078,0.00006941947,0.00023125768,0.00062797585,0.105453834,0.0013127861,0.0041051283,0.0005252502,0.000023179193],"about_ca_topic_score_codex":0.0042629666,"about_ca_topic_score_gemma":0.0017805108,"teacher_disagreement_score":0.0042629666,"about_ca_system_score_codex":0.00038165922,"about_ca_system_score_gemma":0.0008004267,"threshold_uncertainty_score":0.016580105},"labels":[],"label_agreement":null},{"id":"W3014627349","doi":"10.1016/j.econmod.2020.03.023","title":"Factor tracking: A new smart beta strategy that outperforms naïve diversification","year":2020,"lang":"en","type":"article","venue":"Economic Modelling","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Portfolio; Sharpe ratio; Diversification (marketing strategy); Econometrics; Factor analysis; Tracking (education); Tracking error; Variance (accounting); Computer science; Economics; Project portfolio management; Mathematics; Mathematical optimization; Financial economics; Artificial intelligence; Business","score_opus":0.18440853054940634,"score_gpt":0.2284957053436432,"score_spread":0.04408717479423685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014627349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09611874,0.0006713909,0.8935316,0.00044609926,0.00025406128,0.00007567272,0.00012411941,0.002754307,0.0060240915],"genre_scores_gemma":[0.64231306,0.00030502793,0.35080275,0.0005259836,0.00024064223,0.00006827801,0.00023729062,0.00037304114,0.005133926],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993529,0.00015508596,0.00005307294,0.00015393896,0.00021646275,0.000068673566],"domain_scores_gemma":[0.99750745,0.0009134012,0.00026781988,0.00073371595,0.00035595673,0.0002216964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024209425,0.00084013975,0.00094381924,0.00085333886,0.0004764364,0.0013436415,0.0010983036,0.0015070424,0.0033409044],"category_scores_gemma":[0.006714518,0.00035287265,0.00060712214,0.00070435996,0.00059838925,0.0023271046,0.001619345,0.0011352105,0.0010696902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010833397,0.00033526515,0.00626783,0.000082799364,0.00022217781,0.00022417914,0.0001611917,0.17806913,0.019865302,0.028518269,0.009729897,0.7554407],"study_design_scores_gemma":[0.000107486376,0.00017709477,0.00062063016,0.000013182895,0.000054132142,0.00017672192,0.000010562369,0.97276974,0.003787945,0.020133723,0.0021194078,0.00002941688],"about_ca_topic_score_codex":0.0012397676,"about_ca_topic_score_gemma":0.0014843711,"teacher_disagreement_score":0.0033409044,"about_ca_system_score_codex":0.00040597763,"about_ca_system_score_gemma":0.00097005867,"threshold_uncertainty_score":0.012803316},"labels":[],"label_agreement":null},{"id":"W3014855171","doi":"10.1111/jfir.12210","title":"STOCK MARKET OPENNESS AND MARKET QUALITY: EVIDENCE FROM THE SHANGHAI–HONG KONG STOCK CONNECT PROGRAM","year":2020,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Victoria","funders":"","keywords":"Market liquidity; Stock market; Business; Openness to experience; Monetary economics; Volatility (finance); China; Primary market; Stock market bubble; Stock exchange; Market depth; Capital market; Economics; Financial economics; Finance","score_opus":0.26359368379206743,"score_gpt":0.3760385977643807,"score_spread":0.11244491397231327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014855171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986035,0.00012480815,0.000028473658,0.000092115835,0.0000035368496,0.000006081373,0.00045006562,0.0000016188955,0.0006897095],"genre_scores_gemma":[0.999119,0.00007641407,0.000015393662,0.00002698507,0.000007647906,0.0000032575253,0.000518473,9.886744e-7,0.00023189059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995359,0.00013220246,0.00003651722,0.000060509785,0.00013786662,0.00009711494],"domain_scores_gemma":[0.98268753,0.0024662395,0.009283352,0.00081985473,0.0013913659,0.0033516812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012448367,0.00016389515,0.00019725045,0.0010918046,0.00046323967,0.0007853127,0.00029123202,0.0002419081,0.0024832757],"category_scores_gemma":[0.0041462434,0.00011488625,0.0002892877,0.0016326202,0.00080291333,0.0004911338,0.0010082201,0.00043300094,0.00014358768],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013831882,0.00007546919,0.9973399,0.000012872307,0.000078674864,0.000050106697,0.00018060247,0.000074575146,0.000053292693,0.000102249345,0.00026941427,0.001624625],"study_design_scores_gemma":[0.0000044900657,0.000020896492,0.9995875,0.000003495673,0.000013585669,0.000008297058,0.00012246767,0.00005577726,0.000024157069,0.000019092598,0.00013865739,0.0000015715459],"about_ca_topic_score_codex":0.07028361,"about_ca_topic_score_gemma":0.094283834,"teacher_disagreement_score":0.07028361,"about_ca_system_score_codex":0.00072339183,"about_ca_system_score_gemma":0.00063077523,"threshold_uncertainty_score":0.13974899},"labels":[],"label_agreement":null},{"id":"W3015667543","doi":"10.3390/jrfm13040072","title":"The Impact of Tax Preferences on the Investment Attractiveness of Bonds for Retail Investors: The Case of Russia","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bond; Attractiveness; Investment (military); Yield (engineering); Business; Incentive; Government (linguistics); Monetary economics; Economics; Finance; Market economy","score_opus":0.04914641810504857,"score_gpt":0.2433644181188466,"score_spread":0.19421800001379802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015667543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968928,0.00006254335,0.00028093092,0.00006129226,0.0000014005552,0.0000027110575,0.000015780804,0.0000013491133,0.0026811638],"genre_scores_gemma":[0.9996927,0.000040400046,0.000041117462,0.0000021990331,0.0000010016879,6.31553e-7,0.0000075474813,4.4824665e-7,0.00021408792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996716,0.00013962794,0.000017744795,0.00003481642,0.000048314403,0.0000879371],"domain_scores_gemma":[0.9975793,0.0010608349,0.0008197739,0.000122803,0.00018594481,0.00023138027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008060202,0.0001109252,0.0002713646,0.00034861788,0.0004229465,0.001742812,0.00017904266,0.0003753636,0.002507534],"category_scores_gemma":[0.0034188416,0.00009592443,0.00031878665,0.0003371469,0.00052744144,0.0006359445,0.00066161674,0.0005912196,0.0001539885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023794197,0.00040239826,0.7738377,0.00013825543,0.00033164266,0.0040453724,0.0018653488,0.0519752,0.011579121,0.1166079,0.0009249623,0.035912775],"study_design_scores_gemma":[0.00011132295,0.00065145706,0.84300196,0.00006851497,0.0003946963,0.0019502378,0.006817098,0.09579592,0.0067995465,0.03962096,0.004714018,0.00007424148],"about_ca_topic_score_codex":0.0046501504,"about_ca_topic_score_gemma":0.004293764,"teacher_disagreement_score":0.0046501504,"about_ca_system_score_codex":0.0009500997,"about_ca_system_score_gemma":0.00026507027,"threshold_uncertainty_score":0.0092461705},"labels":[],"label_agreement":null},{"id":"W3016110645","doi":"10.2139/ssrn.3394666","title":"Consumption Ratcheting and Loss Aversion","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Loss aversion; Economics; Consumption (sociology); Econometrics; Microeconomics; Sociology","score_opus":0.011981350551755542,"score_gpt":0.1960956531006185,"score_spread":0.18411430254886296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016110645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93664515,0.0006119639,0.049247865,0.0010521451,0.000051672214,0.000027948669,0.000077585966,0.000114268696,0.012171453],"genre_scores_gemma":[0.9941047,0.00016188962,0.0012487576,0.000060730785,0.000022137936,0.000006543424,0.000020299456,0.0000091358015,0.004365758],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997193,0.000107725544,0.000020252248,0.00004880985,0.000037337613,0.00006659488],"domain_scores_gemma":[0.99348044,0.0033759263,0.0017747898,0.0005663717,0.00025992584,0.0005424924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016388928,0.00038750772,0.00054853124,0.00046955622,0.00023419946,0.0010903017,0.00034479305,0.0008644653,0.007494475],"category_scores_gemma":[0.0081624,0.0002639649,0.00046351683,0.00034232103,0.0011738753,0.0012604905,0.0008379359,0.0015606573,0.00026569626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029243173,0.0016678951,0.16492234,0.00033189438,0.00045900416,0.0021971236,0.0013144715,0.07994868,0.01496137,0.6065832,0.004375538,0.120314196],"study_design_scores_gemma":[0.00022016063,0.0013897909,0.09586435,0.0000725839,0.00023286555,0.001674465,0.0009147371,0.22354028,0.0016584684,0.6716097,0.002699816,0.00012275751],"about_ca_topic_score_codex":0.0008666253,"about_ca_topic_score_gemma":0.000704914,"teacher_disagreement_score":0.007494475,"about_ca_system_score_codex":0.00038352775,"about_ca_system_score_gemma":0.00024150021,"threshold_uncertainty_score":0.025071502},"labels":[],"label_agreement":null},{"id":"W3017186808","doi":"10.1007/s11408-020-00350-8","title":"Portfolio creation using artificial neural networks and classification probabilities: a Canadian study","year":2020,"lang":"en","type":"article","venue":"Financial markets and portfolio management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Portfolio; Econometrics; Artificial neural network; Ranking (information retrieval); Economics; Excess return; Yield (engineering); Stock exchange; Financial economics; Sample (material); Actuarial science; Stock market index; Stock (firearms); Statistics; Stock market; Artificial intelligence; Computer science; Mathematics; Finance; Engineering; Geography","score_opus":0.04891631825280772,"score_gpt":0.22772859920224653,"score_spread":0.1788122809494388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017186808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9415949,0.0054837163,0.0148199145,0.0016496914,0.000040954932,0.00017049134,0.00097488426,0.000094242925,0.0351711],"genre_scores_gemma":[0.9759483,0.003654025,0.010034836,0.00008502261,0.000021117752,0.000026586753,0.0007665145,0.000036384587,0.009427157],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987463,0.00037258948,0.000060678078,0.00015006673,0.00054483244,0.00012556075],"domain_scores_gemma":[0.9900294,0.0057286425,0.0006180988,0.0005124331,0.0028528753,0.00025860453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004011884,0.00058292,0.00045815413,0.0024621636,0.0018875765,0.0023446265,0.0016811274,0.0006344495,0.0026779326],"category_scores_gemma":[0.020950964,0.00035634314,0.0006687307,0.0067555364,0.0010917458,0.0018939431,0.00051623146,0.0011316873,0.00027126295],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001239633,0.0013364335,0.26429084,0.00034993072,0.0006028459,0.0006092957,0.0022957062,0.10219561,0.0012252242,0.06596123,0.01609175,0.5438015],"study_design_scores_gemma":[0.0004226391,0.0004601443,0.34084296,0.00023828086,0.00052281574,0.00059421186,0.0028612346,0.5953842,0.003836072,0.02056154,0.034079134,0.0001968144],"about_ca_topic_score_codex":0.9656596,"about_ca_topic_score_gemma":0.9451299,"teacher_disagreement_score":0.03434038,"about_ca_system_score_codex":0.027187424,"about_ca_system_score_gemma":0.015623234,"threshold_uncertainty_score":0.19725949},"labels":[],"label_agreement":null},{"id":"W3017334892","doi":"10.1111/eufm.12263","title":"Betas versus characteristics: A practical perspective","year":2020,"lang":"en","type":"article","venue":"European Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Econometrics; Economics; Profitability index; Explanatory power; Value premium; Financial economics; Equity (law); Stock (firearms); Investment (military); Capital asset pricing model; Engineering; Finance","score_opus":0.06460067463749924,"score_gpt":0.2414476506868778,"score_spread":0.17684697604937855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017334892","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13870448,0.009293627,0.76126826,0.03733557,0.0007863796,0.00010296745,0.0012146152,0.00059140316,0.050702758],"genre_scores_gemma":[0.8768506,0.0034956108,0.10927624,0.0017028538,0.0017995896,0.00014691736,0.00039896043,0.00015990005,0.006169325],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99270165,0.0055735796,0.00019567454,0.00058891025,0.0007606579,0.00017946758],"domain_scores_gemma":[0.8569696,0.12928475,0.00490889,0.0044109435,0.0031246087,0.0013011806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016363045,0.0011412981,0.0015793901,0.005262679,0.0006272284,0.005014515,0.0017668995,0.0021574046,0.010399644],"category_scores_gemma":[0.099394046,0.00068148895,0.00094485306,0.0047355443,0.004719684,0.006768193,0.002212144,0.004493953,0.0014410486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020699712,0.00018018298,0.06698564,0.00023973416,0.00022982896,0.0006386726,0.0017176899,0.008573458,0.00093588716,0.78813785,0.0077192215,0.124434866],"study_design_scores_gemma":[0.00006626753,0.00022929431,0.023199575,0.00025365248,0.00011298177,0.00064495916,0.0012837198,0.058410477,0.0007264186,0.8892832,0.025672652,0.000116812684],"about_ca_topic_score_codex":0.0031481467,"about_ca_topic_score_gemma":0.0016036105,"teacher_disagreement_score":0.016363045,"about_ca_system_score_codex":0.0008799994,"about_ca_system_score_gemma":0.0010613434,"threshold_uncertainty_score":0.08653706},"labels":[],"label_agreement":null},{"id":"W3018559177","doi":"10.1504/ijdsrm.2019.10028771","title":"The financial crisis effects on asset allocation: Markowitz theory vs. behavioural portfolio theory","year":2019,"lang":"en","type":"article","venue":"International Journal of Decision Sciences Risk and Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Modern portfolio theory; Portfolio; Asset allocation; Economics; Financial crisis; Post-modern portfolio theory; Financial economics; Asset (computer security); Capital asset pricing model; Business; Finance; Portfolio optimization; Replicating portfolio; Computer science; Macroeconomics","score_opus":0.015364117664691822,"score_gpt":0.25504556113093857,"score_spread":0.23968144346624676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018559177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9101671,0.0040051546,0.049901664,0.004023042,0.00009138948,0.00006228982,0.00017406368,0.000053535965,0.031521734],"genre_scores_gemma":[0.99789894,0.00061660225,0.00088100164,0.00009870915,0.00004207756,0.000011580659,0.000022027825,0.000005539091,0.00042348454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99933124,0.00029176017,0.000040056984,0.00008017806,0.0001479398,0.00010884828],"domain_scores_gemma":[0.9954384,0.0029946964,0.0009157599,0.0002244898,0.00023198816,0.00019474387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022021176,0.0003111885,0.0006441483,0.0009194648,0.00020212732,0.0016401215,0.0004873243,0.00085665006,0.0034781282],"category_scores_gemma":[0.010252113,0.00017823919,0.0004821575,0.0007534013,0.0011575917,0.0018079395,0.0009813238,0.0009816403,0.00021854442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001813837,0.00058869855,0.22788055,0.0006143164,0.00047299778,0.0011419599,0.0020359277,0.109196834,0.005874683,0.503248,0.0029350633,0.14419718],"study_design_scores_gemma":[0.00017227905,0.00066826696,0.30596077,0.00015203006,0.00019776337,0.00039752774,0.001985687,0.18023947,0.0015253365,0.50479585,0.0038152619,0.00008976475],"about_ca_topic_score_codex":0.0023884245,"about_ca_topic_score_gemma":0.0012396283,"teacher_disagreement_score":0.0034781282,"about_ca_system_score_codex":0.00079977186,"about_ca_system_score_gemma":0.000406879,"threshold_uncertainty_score":0.011646092},"labels":[],"label_agreement":null},{"id":"W3018973865","doi":"10.3390/jrfm13120314","title":"Models for Expected Returns with Statistical Factors","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Resampling; Kurtosis; Skewness; Capital asset pricing model; Statistics; Statistical hypothesis testing; Null hypothesis; Economics; Mathematics","score_opus":0.030634981040763773,"score_gpt":0.2035376636315722,"score_spread":0.17290268259080843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018973865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025362946,0.000846272,0.9706293,0.00072966673,0.00008012904,0.00012048703,0.0002899831,0.00037893926,0.0015623198],"genre_scores_gemma":[0.7508581,0.002891659,0.2299691,0.0005656747,0.00064582855,0.001229431,0.001249522,0.0003333738,0.012257275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99084514,0.0052706827,0.0003487129,0.00163924,0.0012388817,0.0006573474],"domain_scores_gemma":[0.95489985,0.037709646,0.003564268,0.0018097963,0.0015922312,0.0004243013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020446416,0.002357862,0.002367235,0.0032579885,0.0007096633,0.0033363993,0.004532425,0.003165848,0.007145769],"category_scores_gemma":[0.052215103,0.0012507705,0.0036156732,0.0021026954,0.0029432955,0.00678511,0.001817739,0.0034188612,0.0017914507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099989236,0.000112873626,0.0056461906,0.0001831201,0.00031104538,0.00040003058,0.0004904223,0.32119218,0.0004978762,0.6421345,0.0015492856,0.02738247],"study_design_scores_gemma":[0.000044701548,0.00007830835,0.0013741243,0.00005484004,0.000073013754,0.0001339134,0.00005512808,0.78190905,0.0001271082,0.21437152,0.0017265239,0.00005181753],"about_ca_topic_score_codex":0.006297739,"about_ca_topic_score_gemma":0.003678105,"teacher_disagreement_score":0.020446416,"about_ca_system_score_codex":0.0020437136,"about_ca_system_score_gemma":0.001481858,"threshold_uncertainty_score":0.1081323},"labels":[],"label_agreement":null},{"id":"W3019114719","doi":"10.2139/ssrn.3410696","title":"How Reverse Merger Firms Raise Capital in PIPEs: Search Costs and Placement Agent Reputation","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Business; Reputation; Industrial organization; Finance","score_opus":0.013983621488468595,"score_gpt":0.21135901814970826,"score_spread":0.19737539666123965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019114719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852341,0.0001413978,0.0015765358,0.000836142,0.00001108461,0.000018591327,0.000061347964,0.000040241805,0.012080691],"genre_scores_gemma":[0.9969777,0.00004255044,0.00015778981,0.000034333323,0.00001197322,0.0000025409058,0.000025008223,0.000006715381,0.002741351],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937207,0.00017739825,0.000037081187,0.00009555628,0.00015117647,0.00016676263],"domain_scores_gemma":[0.98380935,0.006754606,0.006020837,0.0009809756,0.0009593614,0.0014748239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014405581,0.00016377891,0.00042812704,0.0007622696,0.0006268734,0.004238499,0.0006204853,0.0020053887,0.017381674],"category_scores_gemma":[0.019332442,0.00036858473,0.00023281509,0.0007472311,0.0008225204,0.0059407144,0.0015504336,0.000905711,0.0014855051],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0055150804,0.0020480116,0.6491856,0.00035735487,0.00045065302,0.0024856364,0.004937629,0.042085115,0.02212059,0.12223976,0.015484686,0.1330899],"study_design_scores_gemma":[0.00054934685,0.0024984377,0.6842072,0.000120886514,0.00058550265,0.0012463111,0.01654552,0.11539564,0.019696822,0.14200023,0.016919699,0.00023443604],"about_ca_topic_score_codex":0.0026538947,"about_ca_topic_score_gemma":0.003713087,"teacher_disagreement_score":0.017381674,"about_ca_system_score_codex":0.001212634,"about_ca_system_score_gemma":0.00056905544,"threshold_uncertainty_score":0.05814749},"labels":[],"label_agreement":null},{"id":"W3019189721","doi":"10.2139/ssrn.3521020","title":"Equity Market Reaction to Pay Dispersion and Shareholders’ Prosocial Preferences","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Prosocial behavior; Equity (law); Shareholder; Business; Microeconomics; Dispersion (optics); Monetary economics; Economics; Financial economics; Finance; Psychology; Social psychology; Corporate governance","score_opus":0.04338181320797137,"score_gpt":0.23806531746951007,"score_spread":0.1946835042615387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019189721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966068,0.000031425603,0.00012108724,0.00017864688,0.0000053307153,0.000003931598,0.00002592025,0.0000021040873,0.0030247758],"genre_scores_gemma":[0.99936885,0.000010316265,0.000027492548,0.000032895012,0.000006591645,0.0000015513384,0.000016827427,0.0000012005045,0.0005343181],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99972004,0.000087805354,0.000019444471,0.00004041846,0.000057365243,0.00007496751],"domain_scores_gemma":[0.9884814,0.0070161265,0.0029566276,0.00030108602,0.0003447471,0.0008999293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012466664,0.00009763977,0.00021113879,0.00025179726,0.00020587996,0.0015872681,0.00017680447,0.0010290659,0.007920983],"category_scores_gemma":[0.0105199395,0.00013468805,0.00012626935,0.00021504884,0.0003439701,0.0006780738,0.0004198868,0.001105445,0.0003974843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0063820635,0.002328392,0.8890969,0.00011903489,0.0002825824,0.0008525164,0.0032532802,0.00852277,0.032690644,0.017905794,0.0015899315,0.036976077],"study_design_scores_gemma":[0.00009957504,0.0004178268,0.9800064,0.000011506944,0.00004970031,0.0001434856,0.0015633148,0.0072035375,0.0014850349,0.008299967,0.0006906804,0.000028934026],"about_ca_topic_score_codex":0.0016673909,"about_ca_topic_score_gemma":0.0016641429,"teacher_disagreement_score":0.007920983,"about_ca_system_score_codex":0.00040599733,"about_ca_system_score_gemma":0.00016247405,"threshold_uncertainty_score":0.026498318},"labels":[],"label_agreement":null},{"id":"W3019223630","doi":"10.35995/jbafp2010006","title":"The Cyclical Behaviour of the Small-Cap Premium: A Regime-Switching Approach","year":2020,"lang":"en","type":"article","venue":"Journal of Business Accounting and Finance Perspectives","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Autorité des Marchés Financiers","keywords":"Economics; Autoregressive model; Recession; Business cycle; Econometrics; Econometric model; Variation (astronomy); Risk premium; Macroeconomics; Physics","score_opus":0.027341361669699454,"score_gpt":0.20427348430998454,"score_spread":0.1769321226402851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019223630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87805533,0.0008240321,0.104678676,0.0016331701,0.00008020779,0.00006844022,0.0005351081,0.0002948816,0.013830172],"genre_scores_gemma":[0.9957776,0.00026279062,0.0015391987,0.000050093327,0.00004276231,0.000010958414,0.00015763039,0.000021285847,0.002137776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974734,0.00007148789,0.000009816935,0.00006637584,0.00003862847,0.00006639307],"domain_scores_gemma":[0.9981602,0.0010600203,0.0003655964,0.00013791207,0.00013034983,0.00014607486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018887537,0.00033649453,0.00058324594,0.000989322,0.00032259207,0.0014988905,0.000831873,0.0009397115,0.004439587],"category_scores_gemma":[0.0054195696,0.0002855318,0.0010190629,0.00065617706,0.0008609388,0.00086246233,0.00058067724,0.0011856689,0.00027773264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004699678,0.0002966656,0.08306395,0.00019897195,0.00073658244,0.0014169276,0.0011205479,0.49092326,0.01070823,0.33915165,0.0066715996,0.06524161],"study_design_scores_gemma":[0.000013504402,0.000037863596,0.019278951,0.000013801045,0.00005221943,0.0000676108,0.00008674258,0.9442788,0.00019790597,0.03518818,0.0007523048,0.000032108404],"about_ca_topic_score_codex":0.018056454,"about_ca_topic_score_gemma":0.009945208,"teacher_disagreement_score":0.018056454,"about_ca_system_score_codex":0.0009494233,"about_ca_system_score_gemma":0.0005418797,"threshold_uncertainty_score":0.03590268},"labels":[],"label_agreement":null},{"id":"W3019383051","doi":"10.3905/jwm.2020.1.110","title":"Evidence on the Performance of Infrastructure Mutual Funds","year":2020,"lang":"en","type":"article","venue":"The journal of wealth management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Global assets under management; Business; Equity (law); Mutual fund; Fund of funds; Finance; Passive management; Commodity pool; Private equity fund; Institutional investor; Private equity; Corporate governance","score_opus":0.051506015818515924,"score_gpt":0.2283407603337286,"score_spread":0.1768347445152127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019383051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852621,0.0008387659,0.00033816046,0.00078348053,0.000009012049,0.000008363496,0.00016001532,0.000011728008,0.012588347],"genre_scores_gemma":[0.99924064,0.00019900869,0.00006709197,0.00003577784,0.000018200053,0.000002916825,0.00008789919,0.0000016923908,0.00034674365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960437,0.0009758384,0.00040290627,0.0003041595,0.0015592908,0.0007142368],"domain_scores_gemma":[0.94598424,0.0124498205,0.032060422,0.002059335,0.0054249237,0.0020212505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004777074,0.0002630005,0.00029550234,0.0019389273,0.00054967613,0.002043454,0.0005362577,0.0008009914,0.003015934],"category_scores_gemma":[0.043857213,0.00014106321,0.0002403858,0.0018529702,0.0011612108,0.0026073512,0.0024659554,0.00062951917,0.00049705425],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059752696,0.00015676914,0.9337959,0.00019878295,0.0002647318,0.000264802,0.0026098483,0.0013527357,0.0013719319,0.01427089,0.0022770318,0.04283919],"study_design_scores_gemma":[0.00002943557,0.00028829853,0.9867402,0.00011680027,0.00008469408,0.00020720517,0.0017250524,0.000881466,0.0023107496,0.0023202172,0.0052688024,0.000027045391],"about_ca_topic_score_codex":0.0038274096,"about_ca_topic_score_gemma":0.0032820487,"teacher_disagreement_score":0.004777074,"about_ca_system_score_codex":0.0013918172,"about_ca_system_score_gemma":0.0007549336,"threshold_uncertainty_score":0.025263906},"labels":[],"label_agreement":null},{"id":"W3020846429","doi":"10.1287/mnsc.2013.1859","title":"The Reaction of Stock Returns to News About Fundamentals","year":2014,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Stylized fact; Economics; Dividend; Stock (firearms); Stock market; Asset (computer security); Econometrics; Capital asset pricing model; Financial economics; Monetary economics; Finance; Macroeconomics; Computer science","score_opus":0.027872724324707877,"score_gpt":0.23478449234151008,"score_spread":0.2069117680168022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020846429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925402,0.0001888955,0.0030775003,0.0006642695,0.000071996954,0.000013274415,0.00024204266,0.000044024124,0.0031577996],"genre_scores_gemma":[0.998514,0.00020841579,0.0002959012,0.00008377849,0.00004764263,0.0000047262383,0.00011616127,0.000009243249,0.00072010123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993536,0.0002178251,0.000042447613,0.0001498457,0.00013486273,0.00010152739],"domain_scores_gemma":[0.9918533,0.00460698,0.002382662,0.0003883847,0.0004480714,0.00032059848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001547715,0.00034768027,0.0003514046,0.00052471535,0.00013542248,0.0018607405,0.00026079218,0.0011961631,0.002614492],"category_scores_gemma":[0.019953003,0.00031987228,0.00030229767,0.00042418164,0.0005185058,0.0011285375,0.0005530092,0.001009789,0.00047746752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056423848,0.0009216291,0.64839303,0.00032428952,0.001583896,0.0015218421,0.0012785378,0.107279316,0.08063794,0.03638637,0.0065445253,0.10948626],"study_design_scores_gemma":[0.0002334764,0.0010448395,0.7915067,0.00005980123,0.00029270013,0.00050363183,0.0007281162,0.15357587,0.012088697,0.037545208,0.0021911135,0.0002298602],"about_ca_topic_score_codex":0.0015512715,"about_ca_topic_score_gemma":0.0005740925,"teacher_disagreement_score":0.002614492,"about_ca_system_score_codex":0.0003904525,"about_ca_system_score_gemma":0.00013490849,"threshold_uncertainty_score":0.008746386},"labels":[],"label_agreement":null},{"id":"W3021069660","doi":"10.2139/ssrn.1107873","title":"When Does a Mutual Fund's Trade Reveal its Skill?","year":2008,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Mutual fund; Stock (firearms); Closed-end fund; Market liquidity; Monetary economics; Volume-weighted average price; Income fund; Business; Open-end fund; Manager of managers fund; Econometrics; Economics; Financial economics; Fund of funds; Fund administration; Stock price; Finance; Institutional investor","score_opus":0.02840670857654745,"score_gpt":0.22378165570273062,"score_spread":0.19537494712618317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021069660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96897787,0.00048489746,0.004339941,0.0057071713,0.000060887814,0.000014119672,0.0005710299,0.000047417892,0.019796655],"genre_scores_gemma":[0.99818856,0.00014239411,0.00026640802,0.00015947202,0.00006821044,0.0000035516887,0.00010180156,0.000009547674,0.0010600821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935025,0.00013355944,0.00007057748,0.00013761286,0.00013713886,0.00017091444],"domain_scores_gemma":[0.9645984,0.01903211,0.0107149435,0.0019750185,0.0019229916,0.0017565199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028250795,0.00014947637,0.0005254438,0.0011580366,0.00048091408,0.003187228,0.0004951105,0.0017870672,0.0057890136],"category_scores_gemma":[0.04914333,0.00020874552,0.0002176104,0.0009582443,0.0010059888,0.006255471,0.0010883071,0.0011674556,0.0010747091],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008246689,0.00022224299,0.82864755,0.00017873554,0.00034491267,0.0006830281,0.0022677793,0.005661387,0.0023928322,0.059959754,0.008699411,0.090117745],"study_design_scores_gemma":[0.00007976092,0.0003450326,0.68633944,0.00017272761,0.0002105872,0.00102582,0.007417634,0.03892503,0.0037309607,0.24983256,0.011823816,0.00009669276],"about_ca_topic_score_codex":0.0039272495,"about_ca_topic_score_gemma":0.0043990267,"teacher_disagreement_score":0.0057890136,"about_ca_system_score_codex":0.0007040268,"about_ca_system_score_gemma":0.00070431904,"threshold_uncertainty_score":0.019366145},"labels":[],"label_agreement":null},{"id":"W3021215106","doi":"10.2139/ssrn.3081036","title":"Properties of the Margrabe Best-of-Two Strategy to Tactical Asset Allocation","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Asset allocation; Asset (computer security); Business; Operations research; Computer science; Computer security; Engineering; Finance; Portfolio","score_opus":0.04303563135563217,"score_gpt":0.2534265241814789,"score_spread":0.21039089282584672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021215106","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27030033,0.0019938685,0.64900506,0.0038448495,0.00026715742,0.00020392313,0.00029835952,0.00043922398,0.07364727],"genre_scores_gemma":[0.95533764,0.0010520068,0.026548328,0.000515552,0.00027252923,0.00018264966,0.00015242842,0.00017925652,0.01575965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981029,0.0009899015,0.0000970564,0.00023343493,0.0003021126,0.00027456347],"domain_scores_gemma":[0.97798526,0.01675771,0.0013944043,0.0011427628,0.0014537962,0.001266043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005166383,0.0019001188,0.0026555185,0.0024113539,0.0015832975,0.0045972224,0.0029892002,0.004359163,0.01084166],"category_scores_gemma":[0.037269372,0.0009387275,0.0014412015,0.0021945992,0.0040553566,0.0061852117,0.0026528349,0.0032782431,0.0015949082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018133994,0.00007200839,0.0010900749,0.000087885084,0.00008475346,0.00020334013,0.0003683001,0.062178023,0.0012902328,0.9184422,0.0035691306,0.01243269],"study_design_scores_gemma":[0.000045719855,0.000057354835,0.00032891525,0.000026716367,0.00003507021,0.00014675321,0.000094226,0.3761516,0.0002769031,0.6218061,0.001002409,0.000028269149],"about_ca_topic_score_codex":0.002515903,"about_ca_topic_score_gemma":0.00160451,"teacher_disagreement_score":0.01084166,"about_ca_system_score_codex":0.0023808482,"about_ca_system_score_gemma":0.0025359518,"threshold_uncertainty_score":0.03626901},"labels":[],"label_agreement":null},{"id":"W3021313430","doi":"10.1016/j.qref.2013.02.002","title":"Firms, shareholders, and financial markets","year":2013,"lang":"en","type":"article","venue":"The Quarterly Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Shareholder; Equity (law); Market power; Business; Financial market; Finance; Portfolio; Economics; Risk aversion (psychology); Monetary economics; Financial economics; Microeconomics; Expected utility hypothesis; Corporate governance; Monopoly","score_opus":0.021045995288389612,"score_gpt":0.19904158293741206,"score_spread":0.17799558764902246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021313430","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06523554,0.77520734,0.0024531293,0.084092714,0.0009802363,0.00002724401,0.0005347262,0.000046564204,0.07142249],"genre_scores_gemma":[0.6673477,0.30924806,0.00061009784,0.0048457687,0.0026886144,0.00001873579,0.0002986951,0.000008930911,0.014933351],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995289,0.00015206236,0.000028769298,0.000053635275,0.00015407638,0.00008268953],"domain_scores_gemma":[0.99662364,0.0019790016,0.00079216086,0.00007782761,0.00031765885,0.00020965096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012726773,0.00025867982,0.0004991695,0.0011268251,0.00067065854,0.0060796137,0.00040902317,0.0027764102,0.0055443486],"category_scores_gemma":[0.0056732884,0.00017508923,0.00013621741,0.0033467792,0.0020344413,0.0044623856,0.0005669119,0.0016873538,0.0005961552],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020325964,0.00038048194,0.04552581,0.001038786,0.00016180948,0.00041385027,0.0006065487,0.0044730045,0.0005528807,0.5909009,0.13499409,0.22074866],"study_design_scores_gemma":[0.0000991241,0.000089036905,0.06754079,0.0011414387,0.00014370588,0.00026049707,0.0024628676,0.0032008626,0.00024093085,0.66642976,0.25833544,0.000055493816],"about_ca_topic_score_codex":0.013060376,"about_ca_topic_score_gemma":0.017703034,"teacher_disagreement_score":0.013060376,"about_ca_system_score_codex":0.0016192688,"about_ca_system_score_gemma":0.00215028,"threshold_uncertainty_score":0.02596873},"labels":[],"label_agreement":null},{"id":"W3021360658","doi":"10.1111/j.1751-486x.2010.01537.x","title":"Full Disclosure","year":2010,"lang":"en","type":"article","venue":"Nursing for Women s Health","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CancerCare Manitoba","funders":"","keywords":"Black–Scholes model; Mathematical economics; Heuristics; Valuation of options; Skewness; Argument (complex analysis); Economics; Rare events; Standard deviation; Econometrics; Mathematics; Actuarial science; Statistics; Volatility (finance); Mathematical optimization","score_opus":0.030162361367210254,"score_gpt":0.27054706578008525,"score_spread":0.240384704412875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021360658","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068826512,0.0069348924,0.0032232597,0.2610679,0.065127045,0.0012735808,0.03551693,0.0004777545,0.619496],"genre_scores_gemma":[0.08819119,0.0036361883,0.00483196,0.07699725,0.018337524,0.0020698789,0.008261,0.00033147002,0.7973435],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955903,0.0012089558,0.00043320147,0.0004177934,0.0017871512,0.00056255696],"domain_scores_gemma":[0.9703636,0.012527306,0.0016357029,0.003628204,0.010336625,0.0015086444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063936617,0.00024388958,0.0007809299,0.0008353648,0.0008221219,0.0027770572,0.0012701154,0.0041583185,0.19220863],"category_scores_gemma":[0.06590459,0.00024054883,0.0003517569,0.0010538488,0.0005627488,0.0010285106,0.0012814368,0.0029021988,0.06260447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089262816,0.000021523665,0.0009783714,0.00014562927,0.000009117067,0.00025542942,0.0001026822,0.000028151562,0.00011913457,0.008848759,0.95526063,0.034141265],"study_design_scores_gemma":[0.00004748168,0.000018165754,0.0020665703,0.0003816811,0.000019017787,0.00069971936,0.00023730566,0.00018671846,0.00038441812,0.003915047,0.99203193,0.0000119163915],"about_ca_topic_score_codex":0.0011864252,"about_ca_topic_score_gemma":0.0020210517,"teacher_disagreement_score":0.19220863,"about_ca_system_score_codex":0.0010990713,"about_ca_system_score_gemma":0.0038302725,"threshold_uncertainty_score":0.6430019},"labels":[],"label_agreement":null},{"id":"W3021366373","doi":"10.2139/ssrn.3537724","title":"Value and Momentum in Anomalies","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Value (mathematics); Mathematics; Statistics","score_opus":0.016717489274429172,"score_gpt":0.1920975606718787,"score_spread":0.17538007139744952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021366373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94034415,0.0010032803,0.02635676,0.003718817,0.00025551816,0.0000105857835,0.00028100112,0.00021528464,0.027814608],"genre_scores_gemma":[0.9981042,0.000113924565,0.0003893538,0.000023856372,0.0001024778,0.0000012211276,0.000037840462,0.000022716331,0.0012044865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995784,0.000085765656,0.000028182354,0.00010791888,0.00011552704,0.00008409966],"domain_scores_gemma":[0.99056846,0.005528646,0.0020036974,0.0005396778,0.00079344783,0.0005661085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012914373,0.00026743053,0.00047492218,0.0016320624,0.0005169634,0.0041445154,0.00045624046,0.0012258914,0.004710659],"category_scores_gemma":[0.02260464,0.00031701004,0.0002817798,0.001670146,0.0013564308,0.0051955604,0.0010065692,0.0015866616,0.00036605418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004223922,0.0001267231,0.1375542,0.00007485146,0.000110065026,0.0011882703,0.0011158361,0.039251298,0.0029042803,0.75029856,0.005745616,0.061207883],"study_design_scores_gemma":[0.000033664957,0.000086905704,0.07332923,0.000039391743,0.000051297597,0.0006274779,0.000706782,0.14213528,0.0010591028,0.77743405,0.004442108,0.00005465019],"about_ca_topic_score_codex":0.0017376504,"about_ca_topic_score_gemma":0.0012122928,"teacher_disagreement_score":0.004710659,"about_ca_system_score_codex":0.00095871364,"about_ca_system_score_gemma":0.00041236056,"threshold_uncertainty_score":0.015758693},"labels":[],"label_agreement":null},{"id":"W3021478811","doi":"10.1111/fima.12288","title":"Mispriced index option portfolios","year":2019,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Portfolio; Economics; Index (typography); Volatility (finance); Econometrics; Financial economics; Cash; Maturity (psychological); Finance; Computer science","score_opus":0.01295441035132674,"score_gpt":0.18873260812748668,"score_spread":0.17577819777615994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021478811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747932,0.00032941365,0.020129818,0.00022132539,0.000027241551,0.000023452956,0.00023120851,0.0000843317,0.0041601756],"genre_scores_gemma":[0.99858284,0.000030945386,0.00083950144,0.000017179213,0.000009478563,0.000004215873,0.00009822661,0.000004233577,0.0004134759],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987099,0.0004921366,0.00008101214,0.00021741778,0.00035704544,0.00014253549],"domain_scores_gemma":[0.984768,0.009976966,0.00252272,0.0016736303,0.0005879473,0.00047081962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036076545,0.00047806592,0.0009792644,0.0006637859,0.00022047514,0.002191032,0.0008552664,0.00066279504,0.0046432586],"category_scores_gemma":[0.020961246,0.00032469918,0.00045786204,0.0006358133,0.000675706,0.002046169,0.0005555133,0.00091196917,0.00042408664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021596819,0.0007618497,0.1604903,0.0001531668,0.0009700129,0.0006407375,0.00013345896,0.7005858,0.0071472377,0.063155904,0.0027971133,0.06100474],"study_design_scores_gemma":[0.00015308693,0.00067708554,0.06496374,0.000024619882,0.00018013759,0.00038913282,0.00013030252,0.8735078,0.006080575,0.051750436,0.0020730477,0.00007003199],"about_ca_topic_score_codex":0.00092754356,"about_ca_topic_score_gemma":0.0008059634,"teacher_disagreement_score":0.0046432586,"about_ca_system_score_codex":0.0009961928,"about_ca_system_score_gemma":0.00067159586,"threshold_uncertainty_score":0.019079387},"labels":[],"label_agreement":null},{"id":"W3022187140","doi":"10.1111/1911-3846.12538","title":"The Accrual Anomaly: Accrual Originations, Accrual Reversals, and Resolution of Uncertainty<sup>*</sup>","year":2019,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Accrual; Econometrics; Anomaly (physics); Cash flow; Variance (accounting); Earnings; Accounting; Monetary economics; Economics; Physics","score_opus":0.06472038210104568,"score_gpt":0.29289634563704386,"score_spread":0.22817596353599817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022187140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9155262,0.0005462838,0.07712992,0.0010055039,0.00007304238,0.000045037927,0.00020347544,0.00017731085,0.0052931127],"genre_scores_gemma":[0.9910732,0.00005962147,0.008442875,0.000044795474,0.00004221857,0.000007610261,0.0000550119,0.000010034657,0.0002646935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876875,0.00039397716,0.00015283206,0.00016669773,0.00043965015,0.0000780356],"domain_scores_gemma":[0.9616026,0.024047825,0.010113621,0.0022022377,0.0015696097,0.00046396293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003363742,0.00028027777,0.00038135608,0.0009066417,0.00026269403,0.0016842313,0.0004449,0.0005420573,0.002418799],"category_scores_gemma":[0.04094945,0.00016262085,0.00026806977,0.0007407431,0.001225596,0.0017370278,0.00071452867,0.0008789846,0.00023661136],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001916984,0.0004304336,0.59582394,0.00029288404,0.0002706075,0.001237614,0.0008411037,0.047695436,0.030175604,0.078160405,0.002379892,0.24077499],"study_design_scores_gemma":[0.00004863687,0.00039853412,0.36298376,0.00006419645,0.00013405898,0.0015854663,0.0006095275,0.48354393,0.028461011,0.11917,0.002897381,0.000103495186],"about_ca_topic_score_codex":0.0008032569,"about_ca_topic_score_gemma":0.00072035013,"teacher_disagreement_score":0.003363742,"about_ca_system_score_codex":0.0005464408,"about_ca_system_score_gemma":0.00045004758,"threshold_uncertainty_score":0.017789364},"labels":[],"label_agreement":null},{"id":"W3022224786","doi":"","title":"News shocks and asset prices","year":2015,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council; London School of Economics and Political Science","keywords":"Economics; Business cycle; Shock (circulatory); Asset (computer security); Dividend; Consumption (sociology); Monetary economics; Investment (military); Productivity; Econometrics; Quarter (Canadian coin); Capital asset pricing model; Stock (firearms); Variance (accounting); Vector autoregression; Financial economics; Macroeconomics; Finance","score_opus":0.10091820405234495,"score_gpt":0.356871268723238,"score_spread":0.25595306467089307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022224786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95484287,0.003656131,0.020810869,0.004241781,0.00021443493,0.000012769806,0.00079683564,0.00009373357,0.015330542],"genre_scores_gemma":[0.9970594,0.0009783247,0.00041187473,0.00007060128,0.0001375249,0.000003923964,0.00017905813,0.00000849657,0.0011507595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987257,0.000035976977,0.000008383565,0.000026432754,0.000028519604,0.000028221313],"domain_scores_gemma":[0.994499,0.0035045927,0.0014478376,0.00015207409,0.00022189898,0.00017454963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006527736,0.0002858734,0.00034956072,0.0006412092,0.00020820565,0.002135333,0.00027494444,0.0007859411,0.0034357796],"category_scores_gemma":[0.011048137,0.00021688749,0.00024805762,0.0009587712,0.00043476207,0.0018988113,0.0004994372,0.0009037051,0.00043574747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079348503,0.0002617312,0.26033813,0.00035991202,0.00044390638,0.0026076308,0.001054352,0.16981862,0.004368599,0.45713857,0.012726958,0.09008804],"study_design_scores_gemma":[0.00011375365,0.00021559349,0.16751334,0.00009593546,0.00018622614,0.0005806434,0.0006284144,0.3864266,0.002120403,0.4297818,0.01224597,0.00009141445],"about_ca_topic_score_codex":0.0017513786,"about_ca_topic_score_gemma":0.00095182756,"teacher_disagreement_score":0.0034357796,"about_ca_system_score_codex":0.0005289773,"about_ca_system_score_gemma":0.00017108586,"threshold_uncertainty_score":0.011493862},"labels":[],"label_agreement":null},{"id":"W3022387591","doi":"10.1080/09638180.2020.1756885","title":"Press Release Management around Accelerated Share Repurchases","year":2020,"lang":"en","type":"article","venue":"European Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Share repurchase; Business; Stock price; Open market operation; Stock (firearms); Popularity; Share price; Monetary economics; Finance; Shareholder; Economics; Corporate governance; Stock exchange; Monetary policy","score_opus":0.1000664440970297,"score_gpt":0.24485626330082833,"score_spread":0.14478981920379863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022387591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8555435,0.009657361,0.004028414,0.009272405,0.0009605785,0.0002848351,0.0017518561,0.0010735494,0.117427595],"genre_scores_gemma":[0.97468364,0.0028792636,0.0011644121,0.0013160311,0.0015251442,0.000059811886,0.0006219349,0.00009616666,0.017653674],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99653023,0.0012621726,0.00031645628,0.00037108248,0.0012179231,0.00030222107],"domain_scores_gemma":[0.91106933,0.033242207,0.04128519,0.003674448,0.007382265,0.0033464797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035038479,0.00037017956,0.00026728577,0.002312864,0.00065473875,0.0026184295,0.0006145826,0.0008839967,0.019170448],"category_scores_gemma":[0.03560254,0.00020130645,0.00022289848,0.0016125483,0.00061122526,0.0018995381,0.0009603181,0.0010185597,0.0044073295],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015986961,0.0005044409,0.33662754,0.0018234765,0.00029287577,0.003935109,0.009388486,0.0005133894,0.018054105,0.008046051,0.090948455,0.5282674],"study_design_scores_gemma":[0.00010387835,0.0010905608,0.7831369,0.0007668168,0.00020962123,0.0045342245,0.0101684565,0.0013043631,0.0070530493,0.0020715527,0.18945019,0.000110329864],"about_ca_topic_score_codex":0.0010932904,"about_ca_topic_score_gemma":0.0014805413,"teacher_disagreement_score":0.019170448,"about_ca_system_score_codex":0.00058787793,"about_ca_system_score_gemma":0.00053368014,"threshold_uncertainty_score":0.0641315},"labels":[],"label_agreement":null},{"id":"W3022616347","doi":"10.1108/jes-03-2020-0091","title":"Market frictions and the geographical location of global stock exchanges. Evidence from the S&amp;P Global Index","year":2020,"lang":"en","type":"article","venue":"Journal of Economic Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Economics; Endogeneity; Diversification (marketing strategy); Equity (law); Stock (firearms); Financial economics; Index (typography); Stock market index; Stock market; Econometrics; Empirical research; Business; Geography","score_opus":0.09299413047847514,"score_gpt":0.2811801169617176,"score_spread":0.18818598648324242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022616347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99320954,0.0015309752,0.000464295,0.00029306274,0.000010275197,0.00001237531,0.0012101867,0.000017966518,0.0032512364],"genre_scores_gemma":[0.9988869,0.00028934798,0.00010372543,0.000018755498,0.00001260677,0.0000027005867,0.0005365511,0.0000031158088,0.00014635528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947613,0.000120378856,0.00006968529,0.00011213312,0.00015399627,0.00006778095],"domain_scores_gemma":[0.9748674,0.003644616,0.018982993,0.0009272209,0.0007551025,0.00082270155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009944097,0.00024918857,0.00040547963,0.0021158403,0.00029122757,0.001402664,0.00040843367,0.00041278117,0.0028759828],"category_scores_gemma":[0.009954735,0.00015246491,0.0004803668,0.0038225455,0.00063341454,0.0015555404,0.001014023,0.00039269484,0.00034215936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012176034,0.00002025688,0.9890422,0.00008389281,0.00019358593,0.00021335961,0.0002470506,0.0011813104,0.00016901782,0.0008285073,0.00052686693,0.007372236],"study_design_scores_gemma":[0.000005966985,0.000027167187,0.9975726,0.000023304347,0.000056765475,0.0000723304,0.00033425694,0.00082670787,0.00008089843,0.00030537797,0.0006884796,0.000006196451],"about_ca_topic_score_codex":0.022119699,"about_ca_topic_score_gemma":0.02686474,"teacher_disagreement_score":0.022119699,"about_ca_system_score_codex":0.0005221325,"about_ca_system_score_gemma":0.00048474074,"threshold_uncertainty_score":0.04398191},"labels":[],"label_agreement":null},{"id":"W3022759216","doi":"10.2139/ssrn.3239440","title":"Stock Price Crashes: Role of Slow-Moving Capital","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Monetary economics; Stock (firearms); Stock price; Economics; Finance; Financial economics; Financial system; Engineering","score_opus":0.009976098622888806,"score_gpt":0.19856852262746466,"score_spread":0.18859242400457585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022759216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98740166,0.0031021559,0.0013683679,0.0023751394,0.00008685604,0.000023831304,0.00021014542,0.000032290154,0.0053995503],"genre_scores_gemma":[0.9986467,0.00053102523,0.00007653129,0.000055458087,0.000082825056,0.0000021959968,0.000043510212,0.000004149831,0.0005575721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968743,0.000078179146,0.000028672892,0.000070385024,0.00004279621,0.00009249326],"domain_scores_gemma":[0.992388,0.003779295,0.001978277,0.00050277356,0.00050171674,0.0008499445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012240799,0.0003818701,0.0005139802,0.0008285338,0.00027673246,0.002956276,0.0006845796,0.0012291078,0.008036734],"category_scores_gemma":[0.012758995,0.00018340434,0.00034508985,0.0004392825,0.0006859174,0.0018962737,0.00068995275,0.0011135055,0.00045712478],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002102898,0.00060694333,0.8687512,0.00020310134,0.00064305763,0.006133367,0.00084276916,0.006681387,0.004160275,0.035584398,0.004789836,0.06950082],"study_design_scores_gemma":[0.00023409676,0.00065815053,0.90078586,0.00013155768,0.0006703401,0.0036586854,0.002094033,0.040978752,0.001489615,0.045571577,0.0036552951,0.000071950846],"about_ca_topic_score_codex":0.003860502,"about_ca_topic_score_gemma":0.0023859956,"teacher_disagreement_score":0.008036734,"about_ca_system_score_codex":0.00030349524,"about_ca_system_score_gemma":0.0005002505,"threshold_uncertainty_score":0.02688557},"labels":[],"label_agreement":null},{"id":"W3022915729","doi":"10.1007/s10710-020-09390-5","title":"Stock selection heuristics for performing frequent intraday trading with genetic programming","year":2020,"lang":"en","type":"article","venue":"Genetic Programming and Evolvable Machines","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Mitacs","keywords":"Sharpe ratio; Computer science; Trading strategy; Portfolio; Stock (firearms); Algorithmic trading; Profitability index; Heuristics; Econometrics; Investment strategy; Genetic programming; Profit (economics); Financial economics; Business; Economics; Machine learning; Finance; Microeconomics","score_opus":0.027021859492645354,"score_gpt":0.21071423114304194,"score_spread":0.1836923716503966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022915729","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24581817,0.0004936813,0.7472129,0.00031925816,0.00009065113,0.00015748755,0.00013200824,0.0011229991,0.004652853],"genre_scores_gemma":[0.7675475,0.0001101398,0.23047431,0.00015573377,0.000032461554,0.00013585128,0.00016770611,0.00010067881,0.0012755782],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950993,0.00020310562,0.000029635188,0.00007508762,0.00009552645,0.00008665443],"domain_scores_gemma":[0.9972644,0.002233229,0.000110565765,0.00008897801,0.00021947293,0.00008339975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001355465,0.00084987987,0.001159977,0.0014617229,0.00061986287,0.0011102648,0.0013986089,0.0015024286,0.002136643],"category_scores_gemma":[0.0051010596,0.0006737133,0.000749469,0.001131427,0.0007002612,0.0008987076,0.0007803548,0.0011740039,0.00025927986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008809673,0.00007651466,0.0010982343,0.000020536922,0.000044969413,0.000055123426,0.00004231178,0.95322543,0.000532955,0.0020312483,0.00041812396,0.042366363],"study_design_scores_gemma":[0.000010911648,0.0000134207885,0.000081913335,0.000002941632,0.0000060132857,0.0000059044737,0.000008382503,0.99850535,0.00017859809,0.0011260927,0.000058474427,0.0000021117578],"about_ca_topic_score_codex":0.011453233,"about_ca_topic_score_gemma":0.01078561,"teacher_disagreement_score":0.011453233,"about_ca_system_score_codex":0.0009982137,"about_ca_system_score_gemma":0.0012833867,"threshold_uncertainty_score":0.022773147},"labels":[],"label_agreement":null},{"id":"W3023041724","doi":"10.5539/ijef.v12n6p14","title":"A Note on the Early Effects of the Brexit and US Presidential Votes on REITs","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Brexit; Surprise; Real estate investment trust; Economics; Index (typography); Monetary economics; Event study; Financial economics; Presidential system; International economics; Political science; Finance; Geography; Real estate","score_opus":0.017208915583676706,"score_gpt":0.20235868616866287,"score_spread":0.18514977058498616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023041724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.860871,0.0016760102,0.000838025,0.009486139,0.0008885049,0.000045760287,0.004794636,0.00011457111,0.121285334],"genre_scores_gemma":[0.9776489,0.00037262953,0.00022407432,0.0010307418,0.0004594336,0.000016727829,0.0017006779,0.00005268982,0.01849416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848217,0.00031863633,0.00009883186,0.00020728525,0.00053724233,0.00035588714],"domain_scores_gemma":[0.96048313,0.028106539,0.006665309,0.0010074043,0.0021674037,0.0015701225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028466783,0.00023003644,0.00043715665,0.0008722188,0.0007554258,0.0018327702,0.0002780665,0.0006216381,0.015302259],"category_scores_gemma":[0.015215718,0.00015168333,0.00042409028,0.0009476385,0.0005427496,0.00093450793,0.0010076013,0.002534916,0.0023944527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003935823,0.0006829772,0.77650744,0.00033974374,0.0006940082,0.0008693683,0.0030107968,0.002806113,0.004879854,0.011828179,0.10723206,0.08721361],"study_design_scores_gemma":[0.000022417573,0.00047533805,0.96636033,0.000042720654,0.000103969374,0.000054140313,0.0015295617,0.0004414524,0.0022092196,0.0005898974,0.028141547,0.000029283654],"about_ca_topic_score_codex":0.01427745,"about_ca_topic_score_gemma":0.04409391,"teacher_disagreement_score":0.015302259,"about_ca_system_score_codex":0.00051391486,"about_ca_system_score_gemma":0.0005305692,"threshold_uncertainty_score":0.05119121},"labels":[],"label_agreement":null},{"id":"W3023410062","doi":"10.1016/j.jbankfin.2017.05.013","title":"Starting on the wrong foot: Seasonality in mutual fund performance","year":2017,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Mutual fund; Economics; Quarter (Canadian coin); Index fund; Passive management; Stock (firearms); Econometrics; Closed-end fund; Cash; Financial economics; Monetary economics; Open-end fund; Business; Institutional investor; Finance; Fund of funds; Geography; Mathematics; Statistics; Market liquidity; Corporate governance","score_opus":0.0842147996569956,"score_gpt":0.25575584386912065,"score_spread":0.17154104421212504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023410062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913932,0.0007137002,0.00055821653,0.0038586222,0.00008403786,0.0000038092764,0.00022123975,0.000022859498,0.0031444237],"genre_scores_gemma":[0.99902546,0.00012058557,0.00006016783,0.00011951568,0.00005673517,7.9828624e-7,0.00007214867,0.000008836379,0.00053576933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968565,0.00007567368,0.00002689693,0.00007499919,0.00005397905,0.0000827597],"domain_scores_gemma":[0.99303025,0.003363622,0.0019295431,0.00033455624,0.00064447685,0.00069760834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015028464,0.00012045629,0.00025688345,0.0005734228,0.00038217657,0.0018767393,0.0003680103,0.0013806939,0.0033046282],"category_scores_gemma":[0.015927013,0.00019093529,0.00020919103,0.00081548636,0.0006194362,0.0017082293,0.0007319713,0.0014082474,0.00049415464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000430781,0.00013238355,0.9241361,0.000056799865,0.00020108496,0.00046695655,0.002070911,0.003047352,0.0024403983,0.010009259,0.010813325,0.04619466],"study_design_scores_gemma":[0.000017148779,0.0000546973,0.97660565,0.000053809563,0.00007368649,0.00013272525,0.0020481134,0.008837186,0.00042647627,0.009192993,0.0025287832,0.000028835328],"about_ca_topic_score_codex":0.020361425,"about_ca_topic_score_gemma":0.033860825,"teacher_disagreement_score":0.020361425,"about_ca_system_score_codex":0.0006495766,"about_ca_system_score_gemma":0.00053393585,"threshold_uncertainty_score":0.0404858},"labels":[],"label_agreement":null},{"id":"W3023482950","doi":"10.1017/s002210901900070x","title":"Optimists and Pessimists in (In)Complete Markets","year":2019,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brantford Energy (Canada)","funders":"","keywords":"Speculation; Economics; Consumption (sociology); Jump; Capital asset pricing model; Asset (computer security); Econometrics; Pessimism; Aggregate (composite); Financial economics; Finance; Computer science","score_opus":0.03236209338395736,"score_gpt":0.24741359127560586,"score_spread":0.2150514978916485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023482950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98590684,0.0003221802,0.011020633,0.0008956059,0.000013321257,0.0000097759485,0.000055385208,0.000024022895,0.0017523],"genre_scores_gemma":[0.9986381,0.000106564505,0.00075243314,0.000039325372,0.000016917713,0.000006665606,0.000019996352,0.0000030294207,0.00041699194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99932563,0.00032902017,0.00002766328,0.000093477516,0.00007595061,0.00014825987],"domain_scores_gemma":[0.9717149,0.018946877,0.006332724,0.0009882429,0.00046014992,0.0015571414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047300505,0.00045941977,0.0009622153,0.00047446627,0.00046638414,0.0018657864,0.00059163815,0.0014660415,0.0031999834],"category_scores_gemma":[0.030368391,0.00050385017,0.00042980563,0.00026034153,0.0016858228,0.0026524693,0.0012682122,0.001382835,0.0001544071],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004020716,0.00070397084,0.06687345,0.0004006244,0.00070663524,0.0020716118,0.0031265372,0.5622878,0.0069302674,0.30896923,0.0040650126,0.039844092],"study_design_scores_gemma":[0.00030952872,0.0005022068,0.02948727,0.00006396081,0.00010945688,0.00018103031,0.00073047454,0.6094704,0.00072878716,0.35768256,0.0006515776,0.000082655955],"about_ca_topic_score_codex":0.0013517786,"about_ca_topic_score_gemma":0.0012896482,"teacher_disagreement_score":0.0047300505,"about_ca_system_score_codex":0.000651951,"about_ca_system_score_gemma":0.00042558223,"threshold_uncertainty_score":0.025015175},"labels":[],"label_agreement":null},{"id":"W3023539864","doi":"","title":"","year":2004,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":279,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decile; Hedge fund; Persistence (discontinuity); Econometrics; Economics; Sampling bias; Investment style; Quarter (Canadian coin); Investment (military); Style analysis; Weighting; Horizon; Financial economics; Returns-based style analysis; Monetary economics; Actuarial science; Investment strategy; Fund of funds; Statistics; Mathematics; Finance; Passive management; Sample size determination; Microeconomics; Geography; Return on investment; Engineering","score_opus":0.03127918283746627,"score_gpt":0.19781156048194828,"score_spread":0.166532377644482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023539864","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743128,0.0007079563,0.021706697,0.00037493574,0.000024865889,0.000010749636,0.00052668777,0.000081110295,0.0022542425],"genre_scores_gemma":[0.9967519,0.000115922005,0.001536862,0.000027026013,0.000027071132,0.0000058824758,0.00036593078,0.0000089972045,0.0011603726],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995172,0.00006202155,0.000041522155,0.00009373408,0.00021679835,0.00006872679],"domain_scores_gemma":[0.9927456,0.002421825,0.002886644,0.00090444693,0.0008061009,0.00023536981],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015358618,0.00019408282,0.00034941096,0.00088211783,0.00026515723,0.0011850682,0.00043001852,0.00045491807,0.0024550336],"category_scores_gemma":[0.0096031185,0.00009186144,0.0002856647,0.0010377701,0.00028491125,0.0008903994,0.00045241287,0.00037414412,0.0004655684],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004211183,0.0001373071,0.773195,0.00010626118,0.000250863,0.00049530924,0.00030452994,0.05112332,0.005504174,0.025185417,0.0029304854,0.14034614],"study_design_scores_gemma":[0.00004235656,0.0006155422,0.56599087,0.00007672767,0.0002265356,0.0013267744,0.0003012727,0.34441584,0.014787426,0.060638614,0.011504937,0.00007310996],"about_ca_topic_score_codex":0.0016660969,"about_ca_topic_score_gemma":0.0009554369,"teacher_disagreement_score":0.99754494,"about_ca_system_score_codex":0.0005085444,"about_ca_system_score_gemma":0.00035683418,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3023822287","doi":"10.1111/1911-3846.12232","title":"The Market's Assessment of the Probability of Meeting or Beating the Consensus","year":2016,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Actuarial science; Econometrics; Arbitrage; Portfolio; Incentive; Economics; Bonferroni correction; Financial economics; Business; Statistics; Accounting; Microeconomics; Mathematics","score_opus":0.1269458298828339,"score_gpt":0.326384116805862,"score_spread":0.1994382869230281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023822287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98996127,0.000058365214,0.006286209,0.00022002617,0.000008245455,0.00001621922,0.00020935643,0.00004283542,0.0031975221],"genre_scores_gemma":[0.999278,0.000013611637,0.00050388,0.000008607081,0.000009221889,0.0000028035836,0.00006307922,0.0000034274701,0.000117474294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968021,0.0008650151,0.00027095005,0.00056973053,0.0012496171,0.00024262919],"domain_scores_gemma":[0.86189884,0.09044319,0.035140257,0.0052741454,0.0052394713,0.0020040795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008166477,0.00028663018,0.000817936,0.0019187059,0.00021992759,0.0031984535,0.0006218271,0.000874411,0.0033970822],"category_scores_gemma":[0.08515201,0.00017653596,0.00036895878,0.0011960645,0.000995247,0.003708109,0.0009742745,0.0009297378,0.0004372973],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018828526,0.00046197622,0.8267781,0.00013184095,0.0006605282,0.00037921485,0.0006264275,0.059424922,0.008530846,0.023030505,0.0011156511,0.07697703],"study_design_scores_gemma":[0.00007901836,0.0010538746,0.6659214,0.000040969564,0.00013164661,0.0004044031,0.00064068055,0.2881988,0.0082412865,0.034012914,0.0011159407,0.00015901691],"about_ca_topic_score_codex":0.001044172,"about_ca_topic_score_gemma":0.0004993984,"teacher_disagreement_score":0.008166477,"about_ca_system_score_codex":0.0006022889,"about_ca_system_score_gemma":0.0005186326,"threshold_uncertainty_score":0.04318899},"labels":[],"label_agreement":null},{"id":"W3023902123","doi":"10.1093/rfs/hhv042","title":"Information, Analysts, and Stock Return Comovement","year":2015,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":179,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Intermediary; Stock (firearms); Business; Private information retrieval; Stock price; Profit (economics); Monetary economics; Financial economics; Economics; Industrial organization; Finance; Microeconomics","score_opus":0.07251622306583004,"score_gpt":0.2758455020494364,"score_spread":0.20332927898360637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023902123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9452525,0.042502023,0.0012421091,0.001407884,0.000043311815,0.000010124972,0.00032241986,0.000019284165,0.009200462],"genre_scores_gemma":[0.98800695,0.010735212,0.00024920082,0.00007021776,0.00009863488,0.0000036056163,0.00017690528,0.0000033951449,0.0006559256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952066,0.00018451213,0.00004300553,0.000088409324,0.00012214399,0.00004124957],"domain_scores_gemma":[0.9904912,0.00461843,0.0036216856,0.00030650303,0.0006562107,0.0003058577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011980758,0.00021871869,0.00030534138,0.0027978627,0.00019123226,0.0016317718,0.00020555418,0.0005011146,0.0015226346],"category_scores_gemma":[0.0105478605,0.0001491007,0.00022787073,0.0043162634,0.00035690615,0.0013357385,0.0004515004,0.00041825965,0.00024081867],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020938518,0.00015278664,0.88162416,0.0002254507,0.0006264031,0.0003375059,0.0006869068,0.002307631,0.0011560642,0.007198313,0.0016094751,0.103865914],"study_design_scores_gemma":[0.00001882002,0.00008398196,0.97165823,0.0001104159,0.00027616206,0.00034316487,0.00086386985,0.0038255581,0.0003752234,0.0181429,0.004279387,0.000022306376],"about_ca_topic_score_codex":0.0024198925,"about_ca_topic_score_gemma":0.003028935,"teacher_disagreement_score":0.0027978627,"about_ca_system_score_codex":0.00039973404,"about_ca_system_score_gemma":0.0002445735,"threshold_uncertainty_score":0.0063361526},"labels":[],"label_agreement":null},{"id":"W3023977377","doi":"10.3386/w12658","title":"Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression","year":2006,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Spurious relationship; Econometrics; Capital asset pricing model; Regression; Regression analysis; Economics; Statistics; Mathematics","score_opus":0.29136095389517247,"score_gpt":0.42576040460512943,"score_spread":0.13439945070995696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023977377","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37704855,0.003528128,0.61168957,0.0028283547,0.00020558288,0.000065448694,0.00046908334,0.0013048454,0.0028603794],"genre_scores_gemma":[0.9630368,0.0007028824,0.034033425,0.00048735368,0.00023561853,0.000037394526,0.00039392497,0.00018799517,0.0008846246],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98186064,0.012369935,0.0009689645,0.0020159145,0.002178682,0.0006058613],"domain_scores_gemma":[0.63191575,0.29261297,0.032762084,0.034367885,0.0071968064,0.0011445684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03981798,0.00082212704,0.001448014,0.00097598066,0.00080791075,0.0025303566,0.0018256666,0.0012209575,0.0009263976],"category_scores_gemma":[0.25798553,0.0009389145,0.0010176164,0.002336784,0.0026599548,0.003864017,0.0020047447,0.004187136,0.00026802375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00114905,0.00027293188,0.38189188,0.00045053955,0.0016304262,0.0019726334,0.0016250629,0.37072846,0.002299751,0.09761617,0.008188992,0.13217412],"study_design_scores_gemma":[0.000097679294,0.00013248477,0.04417715,0.00015734996,0.0003765174,0.0007366318,0.0002500976,0.8015541,0.0032165183,0.14575808,0.003448914,0.000094431176],"about_ca_topic_score_codex":0.007636491,"about_ca_topic_score_gemma":0.0055614375,"teacher_disagreement_score":0.03981798,"about_ca_system_score_codex":0.0009931845,"about_ca_system_score_gemma":0.0011258525,"threshold_uncertainty_score":0.21058011},"labels":[],"label_agreement":null},{"id":"W3024189096","doi":"10.3846/jbem.2020.11836","title":"INVESTOR ATTENTION AND STOCK RETURNS UNDER NEGATIVE SHOCKS: AN EMPIRICAL ANALYSIS BASED ON “DRAGON AND TIGER” LIST IN CHINA","year":2020,"lang":"en","type":"article","venue":"Journal of Business Economics and Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Office for Philosophy and Social Sciences","keywords":"Stock (firearms); Shareholder; Tiger; Economics; Financial economics; Monetary economics; Stock exchange; Stock market; Business; China; Finance; Corporate governance","score_opus":0.03999960241680319,"score_gpt":0.23622635172106787,"score_spread":0.19622674930426467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024189096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995208,0.000048726306,0.000045879024,0.000041351468,0.0000021694116,0.000004502862,0.00012447732,0.0000016809541,0.00021040383],"genre_scores_gemma":[0.9992423,0.00004583388,0.00002367571,0.000020530988,0.000007761949,0.0000038318935,0.00036136608,8.719759e-7,0.0002938076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958867,0.000048279628,0.00003748428,0.0000841652,0.00010027641,0.00014102763],"domain_scores_gemma":[0.99845624,0.00026893656,0.00061714015,0.000104573046,0.00018461628,0.00036845627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006780522,0.0003752134,0.00035613193,0.0013736691,0.0005693403,0.00072673714,0.0005082052,0.00051373144,0.0013845005],"category_scores_gemma":[0.0011957888,0.00020996896,0.0007009729,0.0017657671,0.0004659853,0.0004932654,0.0006093125,0.0004769378,0.000204063],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002930631,0.000048843965,0.99774075,0.000007209833,0.000052549614,0.000215416,0.00016934547,0.00022707331,0.00015575875,0.00006396614,0.00016468356,0.001125034],"study_design_scores_gemma":[0.0000034797588,0.00002611709,0.9980514,0.0000025718543,0.00002666738,0.000048769514,0.0001951994,0.0013838232,0.000061204584,0.00002827229,0.00016791427,0.000004608643],"about_ca_topic_score_codex":0.05584833,"about_ca_topic_score_gemma":0.059830163,"teacher_disagreement_score":0.05584833,"about_ca_system_score_codex":0.00091629144,"about_ca_system_score_gemma":0.0008417123,"threshold_uncertainty_score":0.11104649},"labels":[],"label_agreement":null},{"id":"W3024356944","doi":"10.1017/s002210902000023x","title":"Option-Based Estimation of the Price of Coskewness and Cokurtosis Risk","year":2020,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Variance risk premium; Economics; Econometrics; Risk premium; Market risk; Skewness; Estimation; Variance (accounting); Index (typography); Volatility risk premium; Computer science","score_opus":0.03236733355392263,"score_gpt":0.23908806304202807,"score_spread":0.20672072948810544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024356944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33495277,0.00046868448,0.6609981,0.00029882195,0.00004377788,0.000036229303,0.00012302108,0.00017742036,0.0029011832],"genre_scores_gemma":[0.9643211,0.00024799924,0.03398024,0.000026817426,0.0000273696,0.000024478026,0.00014017652,0.000031999127,0.0011998466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987225,0.000676377,0.00006553942,0.00015702624,0.00030398904,0.00007459383],"domain_scores_gemma":[0.98882127,0.008741641,0.00091007503,0.00048842595,0.00078515685,0.0002533831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004083892,0.0008424328,0.0010442641,0.0015435647,0.00028288155,0.0018534448,0.0011882472,0.0010780827,0.002278745],"category_scores_gemma":[0.031430967,0.00049532135,0.00060691766,0.0010552739,0.001119607,0.0033912365,0.0013824175,0.0016160236,0.00023143982],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018792943,0.00007431212,0.010441406,0.00007788422,0.00015666717,0.00019812066,0.00008074616,0.8639139,0.0022324466,0.09863522,0.0004169673,0.023584444],"study_design_scores_gemma":[0.0000044785443,0.000011720192,0.0011271553,0.0000069706166,0.0000063991724,0.000023108456,0.0000059380086,0.98476046,0.0003556551,0.013620039,0.00006170423,0.000016332571],"about_ca_topic_score_codex":0.0046534203,"about_ca_topic_score_gemma":0.00278775,"teacher_disagreement_score":0.0046534203,"about_ca_system_score_codex":0.0008989191,"about_ca_system_score_gemma":0.0007709501,"threshold_uncertainty_score":0.021597922},"labels":[],"label_agreement":null},{"id":"W3025377547","doi":"10.3390/jrfm13050098","title":"Analyst Forecast Dispersion and Market Return Predictability: Does Conditional Equity Premium Play a Role?","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predictability; Dispersion (optics); Predictive power; Proxy (statistics); Economics; Econometrics; Equity (law); Equity premium puzzle; Financial economics; Index (typography); Monetary economics; Risk premium; Mathematics; Statistics; Computer science","score_opus":0.013921917424581935,"score_gpt":0.20335776898893348,"score_spread":0.18943585156435155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025377547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99326235,0.0007814803,0.0009354178,0.001441108,0.00003692175,0.000008350043,0.00022022722,0.000026181464,0.0032879263],"genre_scores_gemma":[0.99934787,0.00012691482,0.000059627408,0.00005730037,0.00006596138,0.0000013074884,0.00010762781,0.000004165581,0.00022920017],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949217,0.00008439361,0.00005229385,0.00013847383,0.00013093906,0.00010167878],"domain_scores_gemma":[0.9727957,0.013384246,0.0094377985,0.0016697377,0.0010530709,0.0016594391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015139234,0.00026448863,0.0005274772,0.0009717456,0.00029450445,0.0016774461,0.00045796376,0.0009449589,0.0047243093],"category_scores_gemma":[0.017414303,0.00019916774,0.0006161677,0.0008434529,0.000782483,0.0019864787,0.0006511602,0.0012473072,0.00055701163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020802875,0.00011288345,0.9834066,0.000023982138,0.00018066201,0.00023319635,0.0002623738,0.0016891834,0.00047518456,0.0020195239,0.0007245768,0.010663762],"study_design_scores_gemma":[0.000022195793,0.000102893784,0.9844429,0.000023054916,0.00010012871,0.00013560262,0.00020565209,0.0085123405,0.00034964655,0.0053491453,0.0007343987,0.000022088354],"about_ca_topic_score_codex":0.01010243,"about_ca_topic_score_gemma":0.0062480737,"teacher_disagreement_score":0.01010243,"about_ca_system_score_codex":0.00041705053,"about_ca_system_score_gemma":0.00048444603,"threshold_uncertainty_score":0.020087242},"labels":[],"label_agreement":null},{"id":"W3025959011","doi":"10.2139/ssrn.3120260","title":"Variance Risk Premium, Higher Order Risk Premium, and Expected Stock Returns","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Manitoba","funders":"","keywords":"Variance risk premium; Risk premium; Volatility risk premium; Liquidity premium; Stock (firearms); Variance (accounting); Economics; Econometrics; Order (exchange); Financial economics; Equity premium puzzle; Business; Volatility (finance); Monetary economics; Finance; Stochastic volatility; Liquidity risk; Geography; Market liquidity","score_opus":0.012316655349694882,"score_gpt":0.2081346934689592,"score_spread":0.1958180381192643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025959011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96393025,0.0028946612,0.025363749,0.0017429792,0.00006917759,0.000013443226,0.00016861285,0.0000995616,0.0057174754],"genre_scores_gemma":[0.9979175,0.00033774853,0.00047741595,0.000030125395,0.000087041386,0.0000026993994,0.00006323385,0.0000069189227,0.0010773124],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995797,0.00011289815,0.00002780379,0.0000835223,0.00010294189,0.00009311359],"domain_scores_gemma":[0.98452944,0.010194252,0.002930041,0.0006420558,0.00071062904,0.0009935763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019507711,0.00045192623,0.00055250444,0.0011068011,0.00022031754,0.002511522,0.00054229243,0.0016059865,0.0042712693],"category_scores_gemma":[0.02389414,0.00026597278,0.00058242213,0.0007124674,0.001061579,0.00300919,0.0007398965,0.0018642801,0.00029906866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011012919,0.000630423,0.49390146,0.0002435797,0.00069654844,0.0015607442,0.00085173897,0.075054444,0.0072915102,0.36350942,0.0041360506,0.051022835],"study_design_scores_gemma":[0.0000828481,0.00023497532,0.3439928,0.000051564002,0.00023027323,0.00087998237,0.00031505912,0.17244157,0.0008723843,0.47976756,0.0010230629,0.00010794768],"about_ca_topic_score_codex":0.0023510174,"about_ca_topic_score_gemma":0.0016701197,"teacher_disagreement_score":0.0042712693,"about_ca_system_score_codex":0.0006499695,"about_ca_system_score_gemma":0.00047641707,"threshold_uncertainty_score":0.014288843},"labels":[],"label_agreement":null},{"id":"W3026785392","doi":"10.1016/j.finmar.2020.100566","title":"Informed liquidity provision in a limit order market","year":2020,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Market liquidity; Patience; Transaction cost; Order (exchange); Economics; Liquidity crisis; Monetary economics; Market impact; Microeconomics; Business; Financial economics; Market microstructure; Finance","score_opus":0.03402999359358973,"score_gpt":0.2238873766138603,"score_spread":0.18985738302027055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026785392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8226475,0.0008678392,0.12912562,0.009287271,0.00019523727,0.000112898146,0.00038484373,0.0005892979,0.03678953],"genre_scores_gemma":[0.99227387,0.00012360567,0.002480488,0.000100056845,0.00007359591,0.000015087535,0.000030531188,0.000012879664,0.0048899474],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991966,0.00031426045,0.000060687144,0.00012521273,0.00013230664,0.00017102477],"domain_scores_gemma":[0.9879369,0.0071791136,0.0022929816,0.00079979654,0.0007247997,0.0010664345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024231859,0.00045192454,0.0016838145,0.00078985316,0.0010715169,0.005390897,0.0016341521,0.004302937,0.0082351705],"category_scores_gemma":[0.01983869,0.00086528563,0.0006486093,0.0006982011,0.0021598355,0.0066855513,0.0018753606,0.0025065134,0.0006808612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001261439,0.00054192333,0.0036333639,0.00013890042,0.000096381584,0.0019445955,0.0004808048,0.18658009,0.0031633454,0.7839005,0.0049286247,0.013330124],"study_design_scores_gemma":[0.00026074992,0.00014810343,0.00065223454,0.000018622688,0.000046487134,0.00016195117,0.00011518653,0.5295689,0.0006685961,0.46748152,0.00082822226,0.00004945425],"about_ca_topic_score_codex":0.0021555985,"about_ca_topic_score_gemma":0.0016864825,"teacher_disagreement_score":0.0082351705,"about_ca_system_score_codex":0.0012190907,"about_ca_system_score_gemma":0.0016254776,"threshold_uncertainty_score":0.027549326},"labels":[],"label_agreement":null},{"id":"W3026928434","doi":"10.2139/ssrn.3554402","title":"Exploited by Complexity","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Computer science","score_opus":0.046869114225667335,"score_gpt":0.2125232377494141,"score_spread":0.16565412352374675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026928434","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20445104,0.0028737774,0.29712015,0.019444605,0.0008341337,0.00011018458,0.00053327816,0.00097378384,0.47365907],"genre_scores_gemma":[0.9666694,0.00085828116,0.013924431,0.0007922054,0.00047568604,0.00009793501,0.00022452316,0.00022051796,0.016737102],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984364,0.00047741918,0.000067114925,0.00033330277,0.0004899715,0.00019577854],"domain_scores_gemma":[0.99491596,0.0021468427,0.00037886092,0.001770085,0.00045183868,0.00033640573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011063947,0.00047546029,0.0008185437,0.0012800931,0.00155828,0.005519242,0.00084235414,0.001581269,0.01468981],"category_scores_gemma":[0.010900564,0.00040067392,0.0006750263,0.00083276635,0.0067274743,0.011717248,0.0056281723,0.0023230186,0.0025738643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020050795,0.000009530009,0.0005006273,0.000033180244,0.00001734011,0.0000868979,0.00046453357,0.0017810151,0.0006291468,0.98438185,0.002236574,0.009839241],"study_design_scores_gemma":[0.00000550397,0.000007439191,0.00018465958,0.0000106248535,0.000007145322,0.00008784125,0.00014304157,0.0049888864,0.00018257856,0.9853285,0.009045236,0.000008488662],"about_ca_topic_score_codex":0.000549673,"about_ca_topic_score_gemma":0.0003975175,"teacher_disagreement_score":0.01468981,"about_ca_system_score_codex":0.00079522846,"about_ca_system_score_gemma":0.0008697946,"threshold_uncertainty_score":0.0491423},"labels":[],"label_agreement":null},{"id":"W3028421309","doi":"10.2139/ssrn.3041709","title":"Sentiment, Loss Firms, and Investor Expectations of Future Earnings","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Earnings; Business; Sentiment analysis; Monetary economics; Financial economics; Accounting; Economics; Computer science; Artificial intelligence","score_opus":0.01390906874980332,"score_gpt":0.22185390235889507,"score_spread":0.20794483360909174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028421309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960991,0.000114126764,0.00022031472,0.00035679498,0.0000089085715,0.0000035941505,0.000083857376,0.000004160474,0.0031091066],"genre_scores_gemma":[0.99938536,0.00004591447,0.000025619136,0.000028123675,0.000014946503,0.0000011271217,0.000068608635,0.000001654139,0.0004286288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998325,0.000039316954,0.000018097675,0.000025826252,0.000037624057,0.00004649789],"domain_scores_gemma":[0.9902958,0.0038810135,0.0040650726,0.00021553424,0.0004167402,0.0011259001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014193335,0.00016213064,0.00018768519,0.00034351723,0.00021924714,0.0020373205,0.00022296928,0.00095726154,0.0038127964],"category_scores_gemma":[0.011278185,0.0001359002,0.00020421209,0.0002505238,0.0003363108,0.0009880513,0.0005353464,0.0010086587,0.0004243675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009401458,0.00028588687,0.9810434,0.000023289333,0.0000850596,0.00025093206,0.00038273406,0.0023517804,0.0010295202,0.0033644806,0.0010699916,0.009172738],"study_design_scores_gemma":[0.000025580883,0.00016342946,0.9870531,0.000015696598,0.000046218753,0.000107175256,0.00054218224,0.0071436893,0.00021682562,0.0042676916,0.0004005055,0.000017782268],"about_ca_topic_score_codex":0.0019825886,"about_ca_topic_score_gemma":0.0030916268,"teacher_disagreement_score":0.0038127964,"about_ca_system_score_codex":0.0005105323,"about_ca_system_score_gemma":0.00019976417,"threshold_uncertainty_score":0.012755036},"labels":[],"label_agreement":null},{"id":"W3028548374","doi":"10.2139/ssrn.3561531","title":"The Value of ETF Liquidity","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Market liquidity; Accounting liquidity; Business; Monetary economics; Liquidity premium; Third market; Funding liquidity; Liquidity crisis; Value (mathematics); Welfare; Economics; Market economy; Computer science","score_opus":0.0210079097088807,"score_gpt":0.20462611989651916,"score_spread":0.18361821018763846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028548374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8027095,0.006805162,0.024610635,0.01698686,0.00044650567,0.000019035459,0.0007304048,0.00029243162,0.1473995],"genre_scores_gemma":[0.99707925,0.00024837008,0.00032243953,0.000063200394,0.00014493531,0.0000022430618,0.000038370647,0.000016059337,0.002085219],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993148,0.00022189842,0.00003191024,0.00009898372,0.0001868663,0.00014544961],"domain_scores_gemma":[0.98545885,0.010323634,0.0017307911,0.0007013436,0.0010091683,0.0007762699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014272594,0.0002768956,0.00040091557,0.0011961728,0.0006580383,0.0058773565,0.00086185563,0.002985628,0.008582969],"category_scores_gemma":[0.025329579,0.00022603208,0.000243062,0.0008872083,0.0013789573,0.008677868,0.0010226985,0.0019038029,0.00058459194],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016295484,0.00017478393,0.020880813,0.00019853836,0.00012484992,0.0018477823,0.000589329,0.06616464,0.00561158,0.79119444,0.008776732,0.10280703],"study_design_scores_gemma":[0.00010213479,0.00016090815,0.017296342,0.00012126886,0.000066527726,0.001305383,0.00067433494,0.12760887,0.004037376,0.84087074,0.007656868,0.00009923593],"about_ca_topic_score_codex":0.0006073033,"about_ca_topic_score_gemma":0.0003539287,"teacher_disagreement_score":0.008582969,"about_ca_system_score_codex":0.0011977991,"about_ca_system_score_gemma":0.00048159095,"threshold_uncertainty_score":0.028712928},"labels":[],"label_agreement":null},{"id":"W3029603372","doi":"10.1287/mnsc.2019.3460","title":"Asymmetric Attention and Stock Returns","year":2020,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Unobservable; Information asymmetry; Stock (firearms); Economics; Portfolio; Financial economics; Aggregate (composite); Econometrics; Private information retrieval; Microeconomics; Mathematics; Statistics","score_opus":0.03899120852496048,"score_gpt":0.21538870685276693,"score_spread":0.17639749832780643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3029603372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835925,0.0009273351,0.007157974,0.00047776196,0.000014428895,0.000012744097,0.00014761472,0.000034889516,0.0076347208],"genre_scores_gemma":[0.99934965,0.00009205271,0.00021638609,0.000021381158,0.000021377693,0.0000031019147,0.00003407484,0.0000026832702,0.0002593433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992538,0.0002342901,0.000049833317,0.0001499122,0.00018101376,0.00013111887],"domain_scores_gemma":[0.9895773,0.004938225,0.0038167029,0.0004935225,0.0006023291,0.0005719496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012104893,0.00031923156,0.0005093548,0.0016854007,0.0002581597,0.001497329,0.00040846597,0.0007343734,0.002650754],"category_scores_gemma":[0.015846528,0.00021431624,0.00027892253,0.0012839339,0.00082306925,0.0021586707,0.0011571088,0.000634744,0.00027841426],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013777462,0.00039419762,0.7179216,0.00021195192,0.00077738054,0.00068771123,0.0013652571,0.04722914,0.009365131,0.062358342,0.002600499,0.15571111],"study_design_scores_gemma":[0.000066501976,0.00023121112,0.8550825,0.000051790856,0.000173506,0.00046722812,0.00056431646,0.07923865,0.0023314354,0.05985327,0.0018673217,0.00007230283],"about_ca_topic_score_codex":0.0032526194,"about_ca_topic_score_gemma":0.0017094883,"teacher_disagreement_score":0.0032526194,"about_ca_system_score_codex":0.0012291097,"about_ca_system_score_gemma":0.00019222824,"threshold_uncertainty_score":0.008917868},"labels":[],"label_agreement":null},{"id":"W3030466908","doi":"10.2139/ssrn.3605158","title":"Stock Return Comovement When Investors are Distracted: More, and More Homogeneous","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Stock (firearms); Homogeneous; Monetary economics; Business; Economics","score_opus":0.023801638193319843,"score_gpt":0.2067924988290257,"score_spread":0.18299086063570585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030466908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99562186,0.00043199296,0.0008549387,0.0008071965,0.00003093819,0.000007433562,0.000101883365,0.000019231351,0.0021244579],"genre_scores_gemma":[0.99892765,0.000094033334,0.00009542747,0.00011780943,0.000063129075,0.000002179061,0.00009390644,0.0000072604553,0.00059861847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987392,0.00019586479,0.00011576154,0.0003486033,0.00025968294,0.0003409167],"domain_scores_gemma":[0.98555815,0.0058301287,0.0042342586,0.0015189826,0.0006718899,0.0021865205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024344295,0.0005239859,0.0016449812,0.0012830365,0.0004917022,0.00618379,0.000793063,0.0017875283,0.004791243],"category_scores_gemma":[0.023316713,0.00044901017,0.0005250523,0.0010614273,0.001503976,0.0040030736,0.0023128684,0.00201139,0.00055177085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0052493904,0.0009484922,0.90720814,0.00014317181,0.00067851326,0.0041610342,0.002351482,0.010722706,0.008428388,0.009221367,0.0024529973,0.048434347],"study_design_scores_gemma":[0.00028039268,0.00045961572,0.9141829,0.000050869316,0.0004759412,0.0013947501,0.0038670853,0.02976309,0.0022342259,0.045327246,0.0018557948,0.000108046275],"about_ca_topic_score_codex":0.0045841685,"about_ca_topic_score_gemma":0.0031871977,"teacher_disagreement_score":0.00618379,"about_ca_system_score_codex":0.0008380062,"about_ca_system_score_gemma":0.00053514435,"threshold_uncertainty_score":0.016028285},"labels":[],"label_agreement":null},{"id":"W3031233773","doi":"10.5539/ass.v16n6p1","title":"Using Statistical Analysis to Investigate the Relevance of Accounting Information in Emerging Financial Markets: An Empirical Study","year":2020,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"MacEwan University; Athabasca University","funders":"","keywords":"Book value; Debt-to-equity ratio; Accounting information system; Capital market; Accounting; Equity (law); Emerging markets; Earnings; Earnings per share; Financial ratio; Economics; Inventory turnover; Earnings response coefficient; Financial economics; Business; Finance; Stock exchange; Population","score_opus":0.05390689857511315,"score_gpt":0.3055706243755338,"score_spread":0.2516637258004206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031233773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911499,0.00085247314,0.0044378797,0.00031273343,0.00001868139,0.00008220447,0.00022205412,0.000020144322,0.0029039476],"genre_scores_gemma":[0.9978935,0.00025904126,0.0014359218,0.000023785327,0.000031750616,0.000030599622,0.0001473271,0.0000042122842,0.00017393661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9931798,0.0038865756,0.0005408209,0.00046964642,0.0015547726,0.00036836404],"domain_scores_gemma":[0.862728,0.11359512,0.014625408,0.0023075696,0.005467503,0.0012764714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010775908,0.00039395338,0.0005632242,0.006916754,0.00063974963,0.002015627,0.0005317088,0.00069804373,0.0017944622],"category_scores_gemma":[0.046739604,0.00016183333,0.0013463148,0.007208887,0.0013230263,0.002625331,0.000769279,0.0012705703,0.00033667553],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111498564,0.00035175102,0.9618601,0.00011604403,0.0002559008,0.0004451459,0.0009855105,0.0012032076,0.00024519267,0.0020191283,0.00045514863,0.031951297],"study_design_scores_gemma":[0.000015864629,0.0003862454,0.96504754,0.000107348365,0.0001810042,0.0005398446,0.0045125796,0.024254614,0.00033142845,0.0031643258,0.0014264673,0.000032862146],"about_ca_topic_score_codex":0.0025563524,"about_ca_topic_score_gemma":0.001844596,"teacher_disagreement_score":0.010775908,"about_ca_system_score_codex":0.0007431269,"about_ca_system_score_gemma":0.0012148225,"threshold_uncertainty_score":0.056989133},"labels":[],"label_agreement":null},{"id":"W3032703971","doi":"10.1016/j.qref.2020.05.003","title":"Window dressing in equity mutual funds","year":2020,"lang":"en","type":"article","venue":"The Quarterly Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan","keywords":"Closed-end fund; Fund of funds; Income fund; Mutual fund; Quarter (Canadian coin); Open-end fund; Equity (law); Private equity fund; Portfolio; Business; Finance; Sovereign wealth fund; Index fund; Target date fund; Economics; Institutional investor; Monetary economics; Private equity; Corporate governance","score_opus":0.06114280687048067,"score_gpt":0.2520842389161565,"score_spread":0.19094143204567582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032703971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6431253,0.05650754,0.119668685,0.029693402,0.0029501617,0.00006850995,0.00025308915,0.0004343029,0.14729908],"genre_scores_gemma":[0.9768043,0.004273652,0.0030162712,0.00034341885,0.00086464075,0.000019515805,0.000025374658,0.000038767157,0.014614042],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996724,0.00012822037,0.000018295348,0.000048008365,0.00006051003,0.00007253659],"domain_scores_gemma":[0.99879634,0.00063592783,0.00025052018,0.000115893985,0.00007304353,0.00012831378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012899578,0.00023966492,0.00047114448,0.0005605694,0.0007129099,0.0022937374,0.0005047847,0.0019035718,0.0055405824],"category_scores_gemma":[0.008044542,0.00024350108,0.00033669928,0.00059057504,0.0013718016,0.005762773,0.000941716,0.0015199922,0.00044874699],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099140816,0.000020495227,0.00048971176,0.000041419742,0.000009138773,0.00013056445,0.00018955482,0.00149649,0.00052478764,0.9690374,0.004251226,0.023710094],"study_design_scores_gemma":[0.000029377077,0.000033639128,0.0012573482,0.000049055856,0.000017879154,0.00013302627,0.00014882532,0.0076374034,0.000652602,0.9755887,0.014437747,0.000014357785],"about_ca_topic_score_codex":0.0008112712,"about_ca_topic_score_gemma":0.0005686919,"teacher_disagreement_score":0.0055405824,"about_ca_system_score_codex":0.0006145478,"about_ca_system_score_gemma":0.0004218613,"threshold_uncertainty_score":0.018535078},"labels":[],"label_agreement":null},{"id":"W3033749194","doi":"10.3390/jrfm13060118","title":"Intraday Jumps, Liquidity, and U.S. Macroeconomic News: Evidence from Exchange Traded Funds","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Jump; Econometrics; Monetary economics; Price discovery; Economics; Estimator; Market microstructure; Financial economics; Mathematics; Finance; Statistics; Order (exchange); Physics","score_opus":0.0379396013201337,"score_gpt":0.20935114260830595,"score_spread":0.17141154128817226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033749194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993318,0.0001239538,0.00005197761,0.00005009414,0.0000032066591,0.0000027732826,0.00018122533,0.000002468908,0.00025241807],"genre_scores_gemma":[0.99890554,0.00018031984,0.00011059278,0.000023942332,0.000021244003,0.0000043171744,0.0006276084,0.0000021686637,0.0001242686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935025,0.00024276601,0.00009082739,0.000080535014,0.00017071342,0.00006494726],"domain_scores_gemma":[0.97800475,0.01058363,0.008841629,0.0008462092,0.0009588609,0.00076490786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019013245,0.0003129155,0.00039816296,0.00150895,0.0003919599,0.0011962815,0.0003629833,0.00084629026,0.0008720601],"category_scores_gemma":[0.011796995,0.00016927706,0.00029055393,0.0017547398,0.00043694396,0.0008585156,0.00095926004,0.0006876942,0.00021117943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011144897,0.00036152505,0.9842048,0.000046970905,0.00020719318,0.00046735833,0.0005275239,0.0011068713,0.0008004832,0.00037183048,0.0005598694,0.010230997],"study_design_scores_gemma":[0.000052916595,0.00032329335,0.9934022,0.00002235827,0.00013258458,0.00031206847,0.0005379078,0.003217056,0.00094570406,0.0003050695,0.0007257727,0.00002306734],"about_ca_topic_score_codex":0.006204187,"about_ca_topic_score_gemma":0.006695283,"teacher_disagreement_score":0.006204187,"about_ca_system_score_codex":0.0003381048,"about_ca_system_score_gemma":0.00022925716,"threshold_uncertainty_score":0.012336135},"labels":[],"label_agreement":null},{"id":"W3034598152","doi":"","title":"Trading Cost Dynamics of Market Making in Equity Options","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Hedge; Equity (law); Ask price; Bid–ask spread; Order (exchange); Economics; Information asymmetry; Bid price; Business; Financial economics; Monetary economics; Market liquidity; Microeconomics; Finance","score_opus":0.02594186757317391,"score_gpt":0.25053934097947583,"score_spread":0.22459747340630193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034598152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701583,0.000094957504,0.0016989748,0.00008169175,0.0000018231675,0.000009074584,0.00015526458,0.000013310514,0.0009290731],"genre_scores_gemma":[0.999067,0.000040726794,0.00041211018,0.000005489195,0.000003858332,0.000004340456,0.00013408829,0.000003916058,0.00032853655],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955875,0.00010120183,0.000041918258,0.000088908004,0.00013214837,0.00007705758],"domain_scores_gemma":[0.9806638,0.012528885,0.004619674,0.00092801906,0.0007144519,0.0005451967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017757566,0.00024633994,0.00048519723,0.0011169566,0.00027519622,0.0016309028,0.00057602016,0.0007092482,0.00319875],"category_scores_gemma":[0.023197541,0.00041440004,0.00041819806,0.0009164172,0.00060619065,0.0023084185,0.000668579,0.001168157,0.00026887783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013401266,0.0005723424,0.5573461,0.00015532899,0.00034402893,0.0016886517,0.0011861388,0.31653064,0.021281658,0.05301646,0.0013442137,0.045194276],"study_design_scores_gemma":[0.000039794813,0.00017329084,0.49021155,0.000018386172,0.0000804873,0.00052073144,0.00039301734,0.47753134,0.0028700985,0.027430024,0.00064483675,0.000086417494],"about_ca_topic_score_codex":0.0035362577,"about_ca_topic_score_gemma":0.0036532674,"teacher_disagreement_score":0.0035362577,"about_ca_system_score_codex":0.0007896022,"about_ca_system_score_gemma":0.00022605859,"threshold_uncertainty_score":0.0107008815},"labels":[],"label_agreement":null},{"id":"W3034992929","doi":"10.1002/fut.22131","title":"Enhancing managerial equity incentives with moving average payoffs","year":2020,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Incentive; Stock options; Equity (law); Stock (firearms); Non-qualified stock option; Economics; Asian option; Business; Financial economics; Restricted stock; Actuarial science; Microeconomics; Finance; Valuation of options; Stock market","score_opus":0.022440483652212417,"score_gpt":0.2203363981358892,"score_spread":0.1978959144836768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034992929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75253886,0.0009620069,0.22059298,0.0012663584,0.00019877132,0.000172016,0.000052684736,0.0005551186,0.02366117],"genre_scores_gemma":[0.98404825,0.000092388465,0.01435332,0.000057888272,0.000037736863,0.000020520933,0.0000067323126,0.000011429814,0.0013716791],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99884975,0.00059848675,0.000057084828,0.0001300444,0.00024757555,0.00011711013],"domain_scores_gemma":[0.99127287,0.005681244,0.0013130895,0.00057228305,0.000602713,0.0005577906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028283726,0.0006047016,0.00051273516,0.00053474866,0.00028648975,0.0010666436,0.0006422008,0.00073857076,0.006633951],"category_scores_gemma":[0.016328039,0.00020262091,0.00020925167,0.00033036334,0.0005192925,0.0019638417,0.0010813118,0.0007313514,0.00046500514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015611304,0.0024570606,0.011094492,0.00039864212,0.00017860322,0.0005669209,0.0007754782,0.1588545,0.06471889,0.26597932,0.0037044683,0.48971045],"study_design_scores_gemma":[0.00030832307,0.0025984338,0.0096965665,0.000093958544,0.00011498008,0.00032022162,0.00028551806,0.7391291,0.018893927,0.22137135,0.0070842756,0.000103232946],"about_ca_topic_score_codex":0.00051672646,"about_ca_topic_score_gemma":0.00052549643,"teacher_disagreement_score":0.006633951,"about_ca_system_score_codex":0.00047601011,"about_ca_system_score_gemma":0.0005832037,"threshold_uncertainty_score":0.022192717},"labels":[],"label_agreement":null},{"id":"W3035510972","doi":"10.2139/ssrn.1106473","title":"Dynamic Term Structure with Positive Spot Rate and Preferred Habitats as Explanatory State Factors","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Term (time); Habitat; Econometrics; Geography; Mathematics; Ecology; Physics; Biology","score_opus":0.009933761334348094,"score_gpt":0.19248658284814546,"score_spread":0.18255282151379737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035510972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94340914,0.0006273073,0.046784434,0.0017954385,0.00012407832,0.000059895046,0.0030290512,0.00025808898,0.003912539],"genre_scores_gemma":[0.98505265,0.00027224355,0.0021340018,0.00009110333,0.00010419916,0.00005776737,0.0020169052,0.000051874813,0.010219249],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99942183,0.00012459242,0.000050693066,0.00019559964,0.00007306857,0.00013436611],"domain_scores_gemma":[0.9932828,0.0033446539,0.0018249464,0.00048453876,0.00045591887,0.0006071847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019919663,0.0007140886,0.0011259124,0.0015259114,0.00060504314,0.0024990148,0.0019419406,0.002434638,0.010956146],"category_scores_gemma":[0.007187109,0.0005946219,0.0013297417,0.0020950274,0.001381564,0.0029910752,0.0012938522,0.002052758,0.0016590017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012364512,0.0006747313,0.36470178,0.00026346938,0.0012795745,0.0020062735,0.00040434004,0.4480666,0.009584106,0.12848952,0.010809438,0.03248362],"study_design_scores_gemma":[0.00013534335,0.00028357055,0.084250666,0.000032176344,0.00032800154,0.00044320498,0.00020124605,0.864402,0.0009021915,0.047047634,0.001853535,0.00012043222],"about_ca_topic_score_codex":0.010744991,"about_ca_topic_score_gemma":0.013057647,"teacher_disagreement_score":0.010956146,"about_ca_system_score_codex":0.0011675133,"about_ca_system_score_gemma":0.0012696517,"threshold_uncertainty_score":0.03665191},"labels":[],"label_agreement":null},{"id":"W3036716867","doi":"","title":"Exchange-traded Funds | Bulletin – March Quarter 2011","year":2011,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Finance; History","score_opus":0.05920820156681888,"score_gpt":0.20883423713888805,"score_spread":0.14962603557206916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036716867","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009198034,0.04264911,0.001125287,0.042983014,0.031149,0.00028761156,0.056208685,0.001824419,0.81457484],"genre_scores_gemma":[0.016288267,0.010801098,0.00039050737,0.0012420849,0.006035692,0.000100018275,0.009763565,0.00025178594,0.955127],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99961734,0.00003174746,0.000028627657,0.000051435276,0.0002032757,0.000067602974],"domain_scores_gemma":[0.99909246,0.00017476152,0.0001490288,0.000089007925,0.00037731178,0.00011742068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008024085,0.0011044834,0.00080252625,0.0021855617,0.0012858417,0.004343147,0.0006287112,0.0025208641,0.14658488],"category_scores_gemma":[0.0026989868,0.0005668233,0.00037237295,0.0024888061,0.00039283079,0.0018536045,0.0007531479,0.0024539384,0.06884028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006398067,0.000023106812,0.00026691842,0.000045622088,0.0000040679433,0.000026551126,0.000008034988,0.00007156092,0.00005888249,0.0009020132,0.9839348,0.014594427],"study_design_scores_gemma":[0.000024744717,0.000027299495,0.004465365,0.000092785405,0.00000828333,0.000035845038,0.000024040584,0.0001402654,0.0002285957,0.0004142775,0.9945294,0.000009030157],"about_ca_topic_score_codex":0.013234374,"about_ca_topic_score_gemma":0.037851896,"teacher_disagreement_score":0.14658488,"about_ca_system_score_codex":0.0021833188,"about_ca_system_score_gemma":0.0020446368,"threshold_uncertainty_score":0.49037528},"labels":[],"label_agreement":null},{"id":"W3037463418","doi":"10.2139/ssrn.1663542","title":"Time-Varying Risk Aversion and the Risk-Return Relation","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Risk aversion (psychology); Relation (database); Economics; Actuarial science; Econometrics; Business; Financial economics; Computer science; Expected utility hypothesis","score_opus":0.006850090363038062,"score_gpt":0.18140337974030363,"score_spread":0.17455328937726555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037463418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90495324,0.0038781639,0.07471149,0.0033781203,0.00010720399,0.000023202338,0.00013577922,0.00009922069,0.012713555],"genre_scores_gemma":[0.9938613,0.0009999295,0.0015144019,0.00009859209,0.000072942465,0.0000064552696,0.000046374425,0.000016794485,0.00338316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99949896,0.00021361146,0.000030376894,0.00010262228,0.00005918413,0.000095158604],"domain_scores_gemma":[0.9802501,0.014903848,0.003248697,0.0006898923,0.00035763741,0.0005497416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026871418,0.0004241851,0.00048237471,0.00071758515,0.00026422928,0.002383297,0.000517059,0.0014800401,0.0047555137],"category_scores_gemma":[0.01976257,0.00035863367,0.0005313225,0.0007083691,0.0012586742,0.0024139096,0.0008112306,0.0025824022,0.0004720638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008451087,0.0004848462,0.10188883,0.00018490752,0.00045651782,0.0018032425,0.0013913901,0.1027332,0.006401783,0.72669643,0.0025738608,0.054539833],"study_design_scores_gemma":[0.000080698635,0.0002550402,0.07831332,0.00004985629,0.00018324296,0.0011653164,0.00038467988,0.13988054,0.0008459467,0.7762253,0.0025156473,0.00010048281],"about_ca_topic_score_codex":0.0010774543,"about_ca_topic_score_gemma":0.00059013785,"teacher_disagreement_score":0.0047555137,"about_ca_system_score_codex":0.0005110209,"about_ca_system_score_gemma":0.0003084298,"threshold_uncertainty_score":0.015908837},"labels":[],"label_agreement":null},{"id":"W3037564305","doi":"10.3390/su12125170","title":"Empirical Research on the Fama-French Three-Factor Model and a Sentiment-Related Four-Factor Model in the Chinese Blockchain Industry","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Explanatory power; Blockchain; Stock market; Sentiment analysis; Stock (firearms); Financial economics; Construct (python library); Mood; Behavioral economics; Economics; Business; Computer science; Finance; Artificial intelligence; Psychology; Engineering","score_opus":0.13030604925088546,"score_gpt":0.3305709324549329,"score_spread":0.20026488320404745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037564305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97089165,0.0029273164,0.017105225,0.0021999378,0.000105092186,0.00015461304,0.0007361112,0.0001037328,0.0057763294],"genre_scores_gemma":[0.99289286,0.0012370697,0.0025860798,0.00013860935,0.00009767249,0.00007218992,0.00085900456,0.000015530726,0.002101021],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998502,0.0006087512,0.00008307496,0.00035518524,0.00016159871,0.00028931646],"domain_scores_gemma":[0.98845357,0.008527839,0.0013727413,0.00038081277,0.00074430794,0.000520666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005908954,0.0016073327,0.001493487,0.0025359422,0.00168642,0.003420764,0.0011941907,0.0017789953,0.008348717],"category_scores_gemma":[0.01121618,0.0006164722,0.0024479143,0.0030726546,0.0013053847,0.0024917652,0.00083677215,0.0020321414,0.0010380251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006130289,0.00073956046,0.77156126,0.0005638989,0.0013908811,0.0026718404,0.003776511,0.07651054,0.0010727328,0.048708137,0.009672986,0.08271859],"study_design_scores_gemma":[0.00021259206,0.00042684394,0.33839238,0.00034400963,0.0009250056,0.00044530426,0.0041475566,0.61277574,0.0004677795,0.033915415,0.0077256043,0.00022174284],"about_ca_topic_score_codex":0.10256015,"about_ca_topic_score_gemma":0.03558648,"teacher_disagreement_score":0.10256015,"about_ca_system_score_codex":0.002348462,"about_ca_system_score_gemma":0.002352934,"threshold_uncertainty_score":0.20392638},"labels":[],"label_agreement":null},{"id":"W3037789954","doi":"10.1080/13504851.2020.1784833","title":"Fund sentiment beta and delegated investment","year":2020,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"National Natural Science Foundation of China","keywords":"Manager of managers fund; Exploit; Pessimism; Investment fund; Volatility (finance); Business; Investment management; Contrarian; Closed-end fund; Mutual fund; Target date fund; Finance; Investment strategy; Investment (military); GRASP; Economics; Open-end fund; Institutional investor; Computer science; Politics; Market liquidity","score_opus":0.03736776059143528,"score_gpt":0.18643953148823555,"score_spread":0.14907177089680027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037789954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98923755,0.0004822749,0.0021992007,0.00021018548,0.00001699593,0.0000064066853,0.000032635806,0.000009003256,0.0078056636],"genre_scores_gemma":[0.99948066,0.000058759844,0.000093062634,0.000013159309,0.000011100138,0.0000017440592,0.000011932562,0.000001358333,0.0003283001],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961394,0.00011373957,0.000026023716,0.000050075512,0.00010007793,0.00009618419],"domain_scores_gemma":[0.9946902,0.0014124694,0.0026217815,0.00023356754,0.0003668467,0.0006751849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011257473,0.0002698347,0.000270843,0.00032099435,0.00017817851,0.0012815838,0.0001811944,0.00032738916,0.0015222975],"category_scores_gemma":[0.009092217,0.00008914933,0.00014018358,0.0002250163,0.00054922287,0.0008121751,0.00078421703,0.0005188608,0.00016027922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002178255,0.00058443507,0.7337667,0.00023938935,0.00037448708,0.0017088518,0.0014243921,0.02651708,0.017077457,0.09265835,0.0024970293,0.1209736],"study_design_scores_gemma":[0.00013192474,0.00088053016,0.85967,0.00015266688,0.00023680896,0.0011031649,0.0010951282,0.05621283,0.005730091,0.06778073,0.006939719,0.0000665107],"about_ca_topic_score_codex":0.0007359367,"about_ca_topic_score_gemma":0.00053189025,"teacher_disagreement_score":0.0015222975,"about_ca_system_score_codex":0.0005988428,"about_ca_system_score_gemma":0.00025600105,"threshold_uncertainty_score":0.00595361},"labels":[],"label_agreement":null},{"id":"W3039772890","doi":"10.5539/ibr.v13n8p1","title":"Remeasuring Sectoral Herding in the Financial Markets","year":2020,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Wilcoxon signed-rank test; Stock exchange; Financial crisis; Absolute deviation; Economics; Stock market; Dispersion (optics); Econometrics; Herd behavior; Stock (firearms); Financial economics; Business; Monetary economics; Finance; Statistics; Mathematics; Geography; Macroeconomics","score_opus":0.1890454049133795,"score_gpt":0.3211410193709619,"score_spread":0.1320956144575824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039772890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99818254,0.00019634403,0.00050517515,0.00004796027,0.0000035441897,0.000006586665,0.00004336851,0.0000051160596,0.0010094523],"genre_scores_gemma":[0.99918467,0.00007609387,0.00038438928,0.000015524756,0.000005355622,0.0000036077295,0.000053264022,0.0000010911988,0.00027598738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992434,0.00023717554,0.000080262114,0.00012319487,0.00021849219,0.00009747851],"domain_scores_gemma":[0.99426466,0.001323741,0.0028673648,0.00051674445,0.0008012304,0.00022622761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001950537,0.00013200648,0.00021647675,0.0013323119,0.00035662967,0.0007507449,0.00028801188,0.0002439947,0.0011861388],"category_scores_gemma":[0.0061771446,0.000107466934,0.00023126356,0.0007296907,0.0003900476,0.0007720201,0.00053429906,0.00024419973,0.00012141389],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046138823,0.000042610438,0.9728713,0.000038685004,0.000082430546,0.00021038258,0.0015151576,0.00043869225,0.001474431,0.00039324965,0.00019800101,0.022688959],"study_design_scores_gemma":[0.0000012844882,0.000098762794,0.99480385,0.000019116465,0.000022886265,0.00021098026,0.0016820525,0.0018326088,0.00037216072,0.000325671,0.0006230929,0.000007499027],"about_ca_topic_score_codex":0.0024510464,"about_ca_topic_score_gemma":0.003763098,"teacher_disagreement_score":0.0024510464,"about_ca_system_score_codex":0.00040432534,"about_ca_system_score_gemma":0.00026247895,"threshold_uncertainty_score":0.010315537},"labels":[],"label_agreement":null},{"id":"W3039989807","doi":"10.3390/jrfm13070140","title":"Information Frictions and Stock Returns","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ambiguity; Ambiguity aversion; Economics; Stock (firearms); Econometrics; Incentive; Financial economics; Capital asset pricing model; Actuarial science; Microeconomics; Computer science","score_opus":0.015634826570469853,"score_gpt":0.18547121094993588,"score_spread":0.16983638437946602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039989807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95572764,0.0017885838,0.026433468,0.0023051468,0.00005129539,0.000047449845,0.00013439206,0.00008792843,0.013424143],"genre_scores_gemma":[0.998563,0.0002324442,0.0004921369,0.000026330097,0.000018627476,0.000004510747,0.000016486101,0.000003053915,0.0006434742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988912,0.0004524252,0.00007460088,0.00011148154,0.00026515184,0.00020521398],"domain_scores_gemma":[0.9757671,0.015564882,0.006653042,0.0008014962,0.0005636015,0.0006498593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003154204,0.000520715,0.0007196667,0.0009918724,0.00032375855,0.002900713,0.00039995988,0.0017941131,0.0036072293],"category_scores_gemma":[0.03167934,0.00044312532,0.0004198808,0.0007523958,0.001032556,0.0039011696,0.0010763459,0.0011135547,0.00030813235],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000980168,0.0003909896,0.055238754,0.00027215184,0.00022680119,0.0013301693,0.0009126056,0.35474148,0.004206831,0.5410402,0.0020424686,0.038617413],"study_design_scores_gemma":[0.00022450493,0.0003749359,0.0453954,0.00010096253,0.00009152094,0.000362429,0.00037171863,0.43444577,0.0012856461,0.5148889,0.002321434,0.00013683114],"about_ca_topic_score_codex":0.0011982472,"about_ca_topic_score_gemma":0.0006012325,"teacher_disagreement_score":0.0036072293,"about_ca_system_score_codex":0.0012001232,"about_ca_system_score_gemma":0.0006979327,"threshold_uncertainty_score":0.016681194},"labels":[],"label_agreement":null},{"id":"W3040522539","doi":"10.5267/j.ac.2020.5.005","title":"Efficient market hypothesis and calendar effects: Empirical evidences from the Vietnam stock markets","year":2020,"lang":"en","type":"article","venue":"Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Efficient-market hypothesis; Financial economics; Stock (firearms); Economics; Business; Econometrics; Geography","score_opus":0.0460449546297309,"score_gpt":0.22832627526211435,"score_spread":0.18228132063238345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040522539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99178195,0.00074145873,0.0009914096,0.00038908335,0.000012923725,0.000015790323,0.00026853982,0.000008469041,0.0057903826],"genre_scores_gemma":[0.99891734,0.0002513242,0.000113525755,0.000023082355,0.00002432548,0.0000020667271,0.00014744845,0.0000028885306,0.00051803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997656,0.000067403445,0.000021761303,0.000044590783,0.000049349448,0.00005126644],"domain_scores_gemma":[0.98146594,0.011785202,0.004023712,0.0010968937,0.00079839147,0.00082982215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001953523,0.00016599827,0.0003007703,0.000929284,0.00055558456,0.0012906675,0.0004749274,0.00033150546,0.008604632],"category_scores_gemma":[0.009925616,0.00015990948,0.00027595364,0.0010310251,0.00093117583,0.0015030018,0.00040964186,0.00053980266,0.00027834022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001124317,0.0003653555,0.9061538,0.0002059938,0.00034776758,0.001225886,0.0019442403,0.0023500754,0.0019508376,0.040145896,0.0017948303,0.042391013],"study_design_scores_gemma":[0.00016636348,0.00016550247,0.9714565,0.000041434057,0.00034063798,0.00032444875,0.0016705922,0.006974576,0.0009415871,0.014178565,0.003716469,0.000023207316],"about_ca_topic_score_codex":0.014938032,"about_ca_topic_score_gemma":0.010429361,"teacher_disagreement_score":0.014938032,"about_ca_system_score_codex":0.0004708242,"about_ca_system_score_gemma":0.0008263998,"threshold_uncertainty_score":0.029702127},"labels":[],"label_agreement":null},{"id":"W3040906124","doi":"10.5430/ijfr.v11n4p306","title":"Earnings Surprises and Stock Price Reactions of Quoted Companies in Nigeria","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings surprise; Earnings per share; Earnings; Earnings response coefficient; Economics; Price–earnings ratio; Stock exchange; Econometrics; Panel data; Earnings yield; Stock (firearms); Stock market; Post-earnings-announcement drift; Financial economics; Monetary economics; Finance","score_opus":0.11500921884866563,"score_gpt":0.3350674977301761,"score_spread":0.22005827888151044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040906124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992861,0.0001356201,0.000020299865,0.000047921578,0.0000062821255,0.0000022909576,0.000037846054,4.7667646e-7,0.00046312765],"genre_scores_gemma":[0.9994729,0.0001629684,0.000024755842,0.000015596153,0.000012254551,0.0000018296067,0.000064250846,3.4436914e-7,0.00024511814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997415,0.00004368446,0.000039527622,0.000032906402,0.000088260516,0.000054052485],"domain_scores_gemma":[0.99663407,0.00069825293,0.0021045506,0.000079458645,0.00028479862,0.00019886206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005095913,0.00014769883,0.00017734917,0.00044190098,0.00026730538,0.000761398,0.0001189884,0.00033288437,0.0009963372],"category_scores_gemma":[0.003795211,0.00012455226,0.00015850361,0.0003793652,0.0001493047,0.00041135724,0.00032436626,0.00050775975,0.00013313991],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008631521,0.0000951594,0.994011,0.000018721741,0.00002055393,0.00043092357,0.0007670129,0.00010526798,0.00049814646,0.00010064187,0.00010812649,0.0037581485],"study_design_scores_gemma":[0.0000013225834,0.000080562284,0.998252,0.0000128223855,0.000009561403,0.0001603903,0.000848512,0.00023372151,0.00013441904,0.00005311655,0.00020983836,0.0000038284857],"about_ca_topic_score_codex":0.0036121772,"about_ca_topic_score_gemma":0.005575836,"teacher_disagreement_score":0.0036121772,"about_ca_system_score_codex":0.0003050405,"about_ca_system_score_gemma":0.00024173541,"threshold_uncertainty_score":0.0071823597},"labels":[],"label_agreement":null},{"id":"W3040977164","doi":"10.5539/jmr.v12n4p13","title":"The Semimartingale Equilibrium Risk Premium for a Risk Seeking Investor","year":2020,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Semimartingale; Martingale (probability theory); Risk premium; Risk-seeking; Economics; Volatility (finance); Risk aversion (psychology); Consumption (sociology); Econometrics; Financial economics; Expected utility hypothesis; Mathematics; Finance; Applied mathematics","score_opus":0.1610070565864651,"score_gpt":0.3241500175962193,"score_spread":0.1631429610097542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040977164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5499678,0.0009869816,0.41042727,0.004228008,0.00020654958,0.000082398525,0.00011475918,0.00023706719,0.033749115],"genre_scores_gemma":[0.97818404,0.00033758016,0.010129993,0.00012761987,0.0000945928,0.000031786734,0.000030501124,0.000026732443,0.011037292],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99961996,0.000088657565,0.000015265823,0.000078840734,0.00010439662,0.00009282164],"domain_scores_gemma":[0.99848515,0.0007911448,0.00023425037,0.00008830973,0.00017230469,0.00022883246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014700006,0.0005214998,0.00068801997,0.0005268729,0.0004155621,0.0017449304,0.0008258889,0.0017538428,0.0054166582],"category_scores_gemma":[0.0054982603,0.0002459084,0.00061618735,0.00020931492,0.0014630021,0.0026512307,0.00084874895,0.0016260729,0.00034821065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059011665,0.000092178474,0.0013569893,0.0000763565,0.000025560177,0.0003582908,0.00016126577,0.022842258,0.012222721,0.95615554,0.0007477608,0.005902005],"study_design_scores_gemma":[0.000048151316,0.00020526006,0.0028042537,0.00004816454,0.000051596293,0.00057187356,0.00019490492,0.41931674,0.004451456,0.5704658,0.0017740304,0.00006780458],"about_ca_topic_score_codex":0.0009821717,"about_ca_topic_score_gemma":0.00055857364,"teacher_disagreement_score":0.0054166582,"about_ca_system_score_codex":0.0009773485,"about_ca_system_score_gemma":0.0010278058,"threshold_uncertainty_score":0.018120527},"labels":[],"label_agreement":null},{"id":"W3041167172","doi":"10.1007/s11142-017-9436-9","title":"The real-time information content of macroeconomic news: implications for firm-level earnings expectations","year":2018,"lang":"en","type":"article","venue":"Review of Accounting Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universiteit van Tilburg; London School of Economics and Political Science","keywords":"Earnings; Nowcasting; Economics; Quarter (Canadian coin); Monetary economics; Econometrics; Financial economics; Finance","score_opus":0.08824704679598375,"score_gpt":0.3022777216633773,"score_spread":0.21403067486739355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041167172","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4248474,0.4707953,0.03295188,0.025963835,0.0017781806,0.00005971751,0.004437239,0.00012575006,0.039040767],"genre_scores_gemma":[0.8668,0.12404487,0.0023231867,0.0011345363,0.003380731,0.000019944191,0.0009587661,0.000025105315,0.0013127683],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991536,0.00023207473,0.000097254044,0.000163517,0.00029311073,0.000060296297],"domain_scores_gemma":[0.9621079,0.029391473,0.0056470893,0.0007354977,0.001837695,0.00028029137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025477053,0.00041132234,0.0005993448,0.0019236306,0.00022319132,0.0048840772,0.00068021164,0.0019856761,0.00178002],"category_scores_gemma":[0.02659985,0.00038517674,0.0003580951,0.0030806519,0.0008020178,0.0049122814,0.0005596581,0.0013555456,0.00046044303],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081136083,0.00045238796,0.19606042,0.004317503,0.0016677601,0.0015012746,0.0013705511,0.041105565,0.009762033,0.13448122,0.016072601,0.5923973],"study_design_scores_gemma":[0.00009348721,0.00032449103,0.57574004,0.002184907,0.0012904943,0.0017200029,0.0020471113,0.046283714,0.0046532936,0.3185593,0.046779647,0.000323421],"about_ca_topic_score_codex":0.0013014909,"about_ca_topic_score_gemma":0.0011982488,"teacher_disagreement_score":0.0048840772,"about_ca_system_score_codex":0.0006992166,"about_ca_system_score_gemma":0.00045444394,"threshold_uncertainty_score":0.013473749},"labels":[],"label_agreement":null},{"id":"W3041599476","doi":"10.5430/ijfr.v11n4p214","title":"An Analysis of Mutual Fund Managers’ Timing Abilities - Evidence From Chinese Equity Funds","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Passive management; Market timing; Closed-end fund; Fund of funds; Open-end fund; Market liquidity; Business; Global assets under management; Mutual fund; Stable value fund; Volatility (finance); Equity (law); Institutional investor; Monetary economics; Finance; Economics; Initial public offering","score_opus":0.3178043919669072,"score_gpt":0.42954589481703886,"score_spread":0.11174150285013168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041599476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992649,0.00010888414,0.000035926216,0.00004479647,0.0000013774131,0.00000319984,0.00010731603,0.000001228977,0.0004324694],"genre_scores_gemma":[0.99962556,0.000060972216,0.000025373602,0.000009696036,0.0000071066906,0.0000034822372,0.00015066697,4.109044e-7,0.000116634554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922764,0.000116256044,0.000117248106,0.00011705662,0.0002483118,0.00017350438],"domain_scores_gemma":[0.99327964,0.0011389226,0.0038950557,0.00031281597,0.0006946801,0.00067893317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019302352,0.00025387472,0.0002415838,0.00258352,0.00045639026,0.0006709286,0.0003419583,0.000304559,0.0011228957],"category_scores_gemma":[0.006836295,0.00012246222,0.00034144966,0.0019637584,0.0003906003,0.0007707881,0.000910452,0.00017141899,0.00009878315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057092726,0.000013824784,0.99322456,0.000019837073,0.00003489862,0.00010414422,0.00085505465,0.00013731027,0.00027170533,0.00019946598,0.00012454225,0.004957392],"study_design_scores_gemma":[0.0000033027998,0.000028406916,0.99864954,0.000005115896,0.000024896402,0.000045494933,0.0003536247,0.00040627478,0.00013504458,0.000060095765,0.00028371572,0.000004608394],"about_ca_topic_score_codex":0.023681862,"about_ca_topic_score_gemma":0.022310589,"teacher_disagreement_score":0.023681862,"about_ca_system_score_codex":0.00091443944,"about_ca_system_score_gemma":0.00083284103,"threshold_uncertainty_score":0.047088027},"labels":[],"label_agreement":null},{"id":"W3041653295","doi":"10.2308/tar-2015-0413","title":"The Higher Moments of Future Earnings","year":2020,"lang":"en","type":"article","venue":"The Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Kurtosis; Skewness; Standard deviation; Earnings; Econometrics; Economics; Equity (law); Earnings response coefficient; Downside risk; Quantile; Actuarial science; Financial economics; Statistics; Accounting; Mathematics; Portfolio","score_opus":0.03525210638130807,"score_gpt":0.22346772492396366,"score_spread":0.1882156185426556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041653295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9203984,0.0052790553,0.043394614,0.0023242014,0.00016594856,0.000041479583,0.004693552,0.0002706109,0.023432141],"genre_scores_gemma":[0.9967855,0.0007321226,0.0010206642,0.00003142842,0.00009757603,0.00000870488,0.0005351577,0.000011649262,0.0007772213],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992724,0.00017518448,0.00006685713,0.00010707322,0.00030902872,0.000069465284],"domain_scores_gemma":[0.9774959,0.012080049,0.0066710296,0.0009778602,0.0025136964,0.00026143875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026272458,0.00029617728,0.00033747152,0.0019971898,0.0001362361,0.0013153552,0.00030348625,0.00039467137,0.0037187927],"category_scores_gemma":[0.029519144,0.00013157945,0.00028281708,0.0016756497,0.00037895568,0.0012009563,0.00037102023,0.0005531173,0.00058045314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004891979,0.0001436875,0.44592115,0.00044444003,0.00036365195,0.00069237035,0.0007557274,0.22014537,0.0035541637,0.09094978,0.012763121,0.2237773],"study_design_scores_gemma":[0.00002715777,0.00017107876,0.60696876,0.00029276527,0.00010226926,0.00030260385,0.00035768826,0.27249205,0.0027600839,0.10622366,0.010183397,0.000118550044],"about_ca_topic_score_codex":0.003204801,"about_ca_topic_score_gemma":0.0013806269,"teacher_disagreement_score":0.0037187927,"about_ca_system_score_codex":0.0005941684,"about_ca_system_score_gemma":0.00024080077,"threshold_uncertainty_score":0.0138943195},"labels":[],"label_agreement":null},{"id":"W3042647954","doi":"10.1287/mnsc.2022.4466","title":"Hedge Funds and Public Information Acquisition","year":2022,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedge fund; Public information; Business; Finance; Quarter (Canadian coin); Computer science; Internet privacy","score_opus":0.022869109802754556,"score_gpt":0.19540675841703517,"score_spread":0.17253764861428061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042647954","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34735078,0.037205406,0.011299903,0.050942503,0.00030868928,0.00008414833,0.0013271885,0.00014387071,0.55133754],"genre_scores_gemma":[0.9790082,0.0054906537,0.0006439676,0.0007407266,0.0003129511,0.00001635684,0.00016785445,0.0000095516025,0.013609822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990067,0.00028878776,0.00004941452,0.0001250869,0.00027386894,0.00025608024],"domain_scores_gemma":[0.99390763,0.0023894487,0.0024473623,0.00032975635,0.00045946636,0.0004663749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013596631,0.00020613612,0.00028590774,0.0013368865,0.0006425854,0.004257956,0.00027586054,0.001728993,0.018055141],"category_scores_gemma":[0.009887886,0.00013105178,0.00023611351,0.0015613729,0.0016807658,0.0037098497,0.0012726681,0.0011297249,0.001154461],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018778181,0.000119964614,0.03339103,0.00012716306,0.000060305374,0.00038258603,0.0007070293,0.0013628021,0.00026056706,0.8125083,0.01992011,0.13097225],"study_design_scores_gemma":[0.00007051421,0.00012863,0.057410568,0.0003167451,0.000070784525,0.0007898381,0.0012660461,0.0032233829,0.00069880014,0.82977265,0.106203124,0.000048934216],"about_ca_topic_score_codex":0.0035001275,"about_ca_topic_score_gemma":0.0024262492,"teacher_disagreement_score":0.018055141,"about_ca_system_score_codex":0.0013745229,"about_ca_system_score_gemma":0.0015095617,"threshold_uncertainty_score":0.060400486},"labels":[],"label_agreement":null},{"id":"W3043042305","doi":"10.5430/ijfr.v11n4p502","title":"An Event Study Analysis of Thailand’s 2019 General Election: A Long Window of Multiple Sub-events","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Thammasat University","keywords":"General election; Event study; Event (particle physics); Econometrics; Stock (firearms); Window (computing); Statistics; Computer science; Economics; Political science; Mathematics; Geography; Physics; Politics","score_opus":0.08163571130830946,"score_gpt":0.3521462254355175,"score_spread":0.27051051412720806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043042305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9678889,0.0007100494,0.024039717,0.0008061341,0.00016944777,0.00019583276,0.0025315506,0.000106927895,0.0035512699],"genre_scores_gemma":[0.9936254,0.00015164464,0.001701326,0.000059349783,0.000093372895,0.00012290034,0.0019844116,0.000011735192,0.0022498704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998173,0.00090486236,0.00007828399,0.00038174939,0.00019513216,0.00026694586],"domain_scores_gemma":[0.98133886,0.013269859,0.0026307844,0.0009029814,0.0007863151,0.0010711962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057319663,0.0004636651,0.00086760597,0.0009945617,0.00071482774,0.001465147,0.0009018033,0.00077545416,0.005317902],"category_scores_gemma":[0.013069217,0.00027649695,0.0012627653,0.0013970901,0.00045586546,0.0011436995,0.0015603668,0.0018287749,0.00043877278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004429215,0.001509229,0.86523265,0.0003699218,0.0018782227,0.0020328641,0.0011659454,0.04235245,0.0024686772,0.014188343,0.007725369,0.05664712],"study_design_scores_gemma":[0.0001871615,0.0018714839,0.66945046,0.00008157118,0.0015821359,0.0004058902,0.0019917462,0.30728373,0.0021750303,0.0061149425,0.008707625,0.0001481171],"about_ca_topic_score_codex":0.017167091,"about_ca_topic_score_gemma":0.01304489,"teacher_disagreement_score":0.017167091,"about_ca_system_score_codex":0.0007200039,"about_ca_system_score_gemma":0.0012566677,"threshold_uncertainty_score":0.03413433},"labels":[],"label_agreement":null},{"id":"W3043053877","doi":"10.1002/fut.22150","title":"Earnings announcement timing, uncertainty, and volatility risk premiums","year":2020,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Straddle; Earnings; Volatility (finance); Equity (law); Economics; Earnings growth; Quarter (Canadian coin); Financial economics; Econometrics; Monetary economics; Finance","score_opus":0.029008731739918817,"score_gpt":0.217442138125562,"score_spread":0.1884334063856432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043053877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99839514,0.00015525402,0.00032913918,0.0000845892,0.0000064839383,0.0000033594306,0.0002758061,0.0000114062095,0.00073887507],"genre_scores_gemma":[0.99949133,0.000043750148,0.00007198996,0.000004661167,0.00001587723,0.0000011565487,0.00019442182,0.0000017348925,0.0001749719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994691,0.00008112593,0.00007227803,0.00008959583,0.0001996304,0.00008817725],"domain_scores_gemma":[0.94933337,0.021264097,0.02578114,0.00088747754,0.0014905746,0.0012433466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015113623,0.00020249846,0.0002915529,0.0010038328,0.0001456041,0.0013419547,0.00025418354,0.00046043206,0.0028708337],"category_scores_gemma":[0.020549236,0.00014470954,0.00020895322,0.0009455848,0.00017736472,0.0006948354,0.00034407605,0.0005151282,0.00036560828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002218235,0.00010448972,0.99034905,0.0000135598175,0.00007799223,0.00009086201,0.000084640225,0.0016014425,0.0009949715,0.00039364345,0.00020253427,0.005864938],"study_design_scores_gemma":[0.0000051212505,0.00008454018,0.995204,0.0000058113724,0.000027927194,0.000051684387,0.00007946799,0.0033904565,0.00060360576,0.0003555736,0.000181051,0.00001086965],"about_ca_topic_score_codex":0.0030138332,"about_ca_topic_score_gemma":0.0018278741,"teacher_disagreement_score":0.0030138332,"about_ca_system_score_codex":0.00028285728,"about_ca_system_score_gemma":0.0001971871,"threshold_uncertainty_score":0.009603858},"labels":[],"label_agreement":null},{"id":"W3043367199","doi":"10.3390/jrfm13070155","title":"A Machine Learning Integrated Portfolio Rebalance Framework with Risk-Aversion Adjustment","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Computer science; Machine learning; Risk aversion (psychology); Portfolio optimization; Artificial intelligence; Econometrics; Rate of return on a portfolio; Index (typography); Economics; Finance; Expected utility hypothesis; Financial economics","score_opus":0.01042714689203034,"score_gpt":0.18183092401305984,"score_spread":0.1714037771210295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043367199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021241399,0.0005996293,0.9758184,0.0002678038,0.000048223465,0.000047679558,0.000054588407,0.00036282226,0.001559446],"genre_scores_gemma":[0.75722766,0.00063031714,0.23726602,0.0002680583,0.0002053554,0.0002036524,0.00027248103,0.0001252741,0.0038011936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998845,0.00048952736,0.000050805087,0.00023130648,0.00027515177,0.00010812206],"domain_scores_gemma":[0.998796,0.00050084403,0.00023445181,0.00012324358,0.0002452139,0.00010030645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033862877,0.0012466629,0.0018990816,0.0010391031,0.00035650335,0.0015553248,0.0022546088,0.0014671402,0.0017418964],"category_scores_gemma":[0.0043581403,0.00055820215,0.0007935423,0.001134678,0.0006699635,0.0024892527,0.0011446686,0.0014229598,0.00036009107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005356748,0.000082990126,0.0012649145,0.00003397172,0.00008679948,0.00007767369,0.000030022486,0.9275232,0.0009068756,0.020018999,0.00087243604,0.049048528],"study_design_scores_gemma":[0.0000065872837,0.00003083618,0.00012887125,0.000004101336,0.000007298506,0.0000116603105,0.0000021202582,0.9943322,0.00011939383,0.0050948313,0.00025687471,0.0000051046623],"about_ca_topic_score_codex":0.0026065798,"about_ca_topic_score_gemma":0.0017615913,"teacher_disagreement_score":0.0033862877,"about_ca_system_score_codex":0.00091999007,"about_ca_system_score_gemma":0.0011711869,"threshold_uncertainty_score":0.017908633},"labels":[],"label_agreement":null},{"id":"W3043735736","doi":"10.1177/0148558x20939332","title":"Predictability of Analyst Earnings Forecast Errors and Institutional and Individual Investors’ Reactions to Earnings News","year":2020,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Predictability; Post-earnings-announcement drift; Quarter (Canadian coin); Monetary economics; Component (thermodynamics); Institutional investor; Economics; Econometrics; Business; Financial economics; Earnings response coefficient; Finance; Corporate governance; Statistics","score_opus":0.04324155889952832,"score_gpt":0.22585330826306818,"score_spread":0.18261174936353985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043735736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986261,0.000041575357,0.00039575674,0.00006464983,0.000005815106,0.000003482151,0.00006511104,0.0000084581225,0.00078901136],"genre_scores_gemma":[0.9996854,0.000021257241,0.000095151314,0.0000081929975,0.000009736907,0.0000011782865,0.000059877635,0.0000017249453,0.00011749719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994885,0.000109772314,0.00005982315,0.00010701389,0.00013966228,0.00009528556],"domain_scores_gemma":[0.9799209,0.009452862,0.008202676,0.0010587889,0.00066423614,0.00070050446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016761738,0.00018093648,0.0002735062,0.00052413426,0.00011276317,0.0009427534,0.00018442197,0.00037964666,0.0013463815],"category_scores_gemma":[0.01562952,0.00012647855,0.00024716265,0.00045162224,0.00021211217,0.00063255633,0.00045393888,0.00049213617,0.0001895068],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037230077,0.00007493366,0.9739614,0.000017264136,0.00020896972,0.00011398212,0.00059542136,0.004808346,0.0028780825,0.0005038954,0.00028656822,0.016178913],"study_design_scores_gemma":[0.000005215693,0.00008113008,0.9904631,0.0000045694005,0.000031969896,0.000048958387,0.00029213363,0.007602476,0.0006379507,0.00061169197,0.00020464469,0.000016249927],"about_ca_topic_score_codex":0.0029099195,"about_ca_topic_score_gemma":0.0033895208,"teacher_disagreement_score":0.0029099195,"about_ca_system_score_codex":0.0002218003,"about_ca_system_score_gemma":0.00019078115,"threshold_uncertainty_score":0.008864522},"labels":[],"label_agreement":null},{"id":"W3044545409","doi":"10.1287/mnsc.2019.3520","title":"Information Content of Aggregate Implied Volatility Spread","year":2020,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Predictability; Economics; Volatility (finance); Equity (law); Predictive power; Financial economics; Implied volatility; Econometrics; Stock (firearms); Stock market; Monetary economics","score_opus":0.05662306611321656,"score_gpt":0.21253899553362757,"score_spread":0.155915929420411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044545409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9171508,0.002383994,0.05683971,0.0014935038,0.00007975268,0.000027689171,0.0050203158,0.0003815758,0.016622752],"genre_scores_gemma":[0.9958917,0.0006143557,0.0013349926,0.000038821105,0.00007887494,0.000013599473,0.001197682,0.00001863611,0.0008114161],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995565,0.00008761802,0.000037194462,0.000112849026,0.00014571835,0.000060157683],"domain_scores_gemma":[0.9844838,0.01200029,0.0011338941,0.0008787901,0.0013129065,0.00019035996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008553593,0.00022097328,0.0005764109,0.0018896905,0.00020453439,0.0015980288,0.00033887735,0.000520966,0.0040830425],"category_scores_gemma":[0.020322468,0.00023317253,0.00018630462,0.001649912,0.00037756682,0.0020593854,0.00061512826,0.0005854746,0.00068861624],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001478203,0.0002527053,0.15580896,0.0006638576,0.00042242775,0.0013847835,0.0008599624,0.24651,0.053462196,0.2095395,0.01300098,0.3166164],"study_design_scores_gemma":[0.00004539291,0.00015753013,0.17449698,0.00017530384,0.0002079017,0.00083090324,0.00024304826,0.6117992,0.015086491,0.19190265,0.0049100686,0.00014460796],"about_ca_topic_score_codex":0.0009803141,"about_ca_topic_score_gemma":0.0004077538,"teacher_disagreement_score":0.0040830425,"about_ca_system_score_codex":0.00045145673,"about_ca_system_score_gemma":0.0002757459,"threshold_uncertainty_score":0.01365912},"labels":[],"label_agreement":null},{"id":"W3044927196","doi":"10.1002/ijfe.1931","title":"Relationship between investor sentiment and earnings news in high‐ and low‐sentiment periods","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Earnings; Equity (law); Economics; Stock (firearms); Volatility (finance); Earnings growth; Stock price; Market sentiment; Financial economics; Stock market; Monetary economics; Econometrics; Finance; Series (stratigraphy)","score_opus":0.03794296978450186,"score_gpt":0.2344307154752239,"score_spread":0.19648774569072203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044927196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991178,0.000026706159,0.000036070665,0.000020714944,0.0000033565698,0.0000023501273,0.00006618933,9.823526e-7,0.00072576664],"genre_scores_gemma":[0.99971205,0.000016574191,0.0000135580185,0.000006315367,0.000008243872,0.0000010465117,0.000091101225,4.971757e-7,0.00015069623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998623,0.000017994575,0.000017910852,0.000024008501,0.0000356469,0.000042180658],"domain_scores_gemma":[0.99687934,0.00072853744,0.0016192239,0.000077357945,0.0002710995,0.0004244499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038283164,0.00013271302,0.0001637983,0.00061608927,0.00019690659,0.0007116365,0.00011041728,0.00022901861,0.001991845],"category_scores_gemma":[0.0020499073,0.0000866261,0.000161434,0.00051688356,0.00020463389,0.0003512912,0.00031965037,0.0002759363,0.00016257603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015750584,0.000041519488,0.9954104,0.000010303861,0.000035594167,0.00014684632,0.00020197823,0.00014924988,0.0015321642,0.00014968606,0.00011642064,0.0020484123],"study_design_scores_gemma":[0.0000015919744,0.000021266951,0.99915624,0.0000016174699,0.0000085223755,0.000023371504,0.00011773474,0.00039813353,0.00016330829,0.000035432837,0.00007054023,0.0000023452742],"about_ca_topic_score_codex":0.0033274055,"about_ca_topic_score_gemma":0.0041470844,"teacher_disagreement_score":0.0033274055,"about_ca_system_score_codex":0.00026781406,"about_ca_system_score_gemma":0.0001325998,"threshold_uncertainty_score":0.006663382},"labels":[],"label_agreement":null},{"id":"W3045444093","doi":"10.2139/ssrn.3024983","title":"Are the Risk Attitudes of Professional Investors Affected by Personal Catastrophic Experiences?","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Actuarial science; Business; Psychology","score_opus":0.01983334925668548,"score_gpt":0.2384155105330898,"score_spread":0.2185821612764043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045444093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99381375,0.0001973656,0.00021164163,0.0010761824,0.00002401996,0.000004575725,0.0000331284,0.000002850789,0.0046365173],"genre_scores_gemma":[0.99938416,0.00012477928,0.00002939935,0.00014340614,0.000018772014,0.000001306018,0.0000164674,0.0000010173189,0.00028054515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990107,0.00039776132,0.000047145382,0.00007128108,0.00021043829,0.000262622],"domain_scores_gemma":[0.9817322,0.00573091,0.007802181,0.00088704744,0.0011477293,0.0027000285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019021664,0.00013429254,0.00018393394,0.0004650962,0.0003598265,0.0017078137,0.00025077473,0.0010840658,0.0037775284],"category_scores_gemma":[0.023810577,0.00015176956,0.00025699224,0.00031111433,0.0009643239,0.0008743018,0.00060747465,0.0009771679,0.00043147887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004813922,0.00031519745,0.9604927,0.000035056157,0.0001689689,0.00053047406,0.005581404,0.00046068872,0.0007569318,0.0011494937,0.001010133,0.029017594],"study_design_scores_gemma":[0.000020250296,0.00031561364,0.98138386,0.000035401885,0.00006991262,0.00090308435,0.011113526,0.0006008941,0.0003789038,0.0033508022,0.0017940983,0.000033866454],"about_ca_topic_score_codex":0.001406067,"about_ca_topic_score_gemma":0.0017490634,"teacher_disagreement_score":0.0037775284,"about_ca_system_score_codex":0.00032011175,"about_ca_system_score_gemma":0.00028698044,"threshold_uncertainty_score":0.012637138},"labels":[],"label_agreement":null},{"id":"W3045811562","doi":"10.1002/ijfe.1828","title":"Cross-shareholding networks and stock price synchronicity: Evidence from China","year":2019,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Synchronicity; Stock price; Business; Monetary economics; Stock (firearms); Centrality; China; Economics; Econometrics","score_opus":0.07090144219374019,"score_gpt":0.17831042175126705,"score_spread":0.10740897955752686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045811562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99939215,0.00008091717,0.00007239257,0.000043744556,0.0000014940183,0.0000023272974,0.00007726791,0.0000013447377,0.00032836152],"genre_scores_gemma":[0.9997025,0.00007085842,0.000019377267,0.000006411602,0.0000045720126,9.479128e-7,0.00011723371,5.039082e-7,0.00007754877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996698,0.000059745053,0.0000347253,0.000082769206,0.00008342426,0.00006956744],"domain_scores_gemma":[0.9956078,0.00095954566,0.0022743451,0.00027780616,0.00046303478,0.0004175255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076529663,0.00021717719,0.00025982253,0.0015861983,0.0004843989,0.0006753188,0.0003767517,0.00023454516,0.0016683533],"category_scores_gemma":[0.0028711557,0.00016448004,0.00030126362,0.0024562867,0.0006393998,0.00066886743,0.00073542004,0.00025092685,0.000112433016],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006313314,0.00003716535,0.99104214,0.000025590234,0.00010957705,0.00031029736,0.0011816487,0.00046832755,0.0005614841,0.00046048168,0.00017845815,0.0055616014],"study_design_scores_gemma":[0.000004184441,0.000022150729,0.9978982,0.0000037355658,0.000033407992,0.000034837485,0.00048294305,0.0010697753,0.00012726798,0.0001054649,0.0002128027,0.0000051293982],"about_ca_topic_score_codex":0.05123735,"about_ca_topic_score_gemma":0.06372789,"teacher_disagreement_score":0.05123735,"about_ca_system_score_codex":0.0006901914,"about_ca_system_score_gemma":0.00051902997,"threshold_uncertainty_score":0.101878226},"labels":[],"label_agreement":null},{"id":"W3046597096","doi":"10.3390/jrfm13080171","title":"Portfolio Strategies to Track and Outperform a Benchmark","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Tracking error; Econometrics; Computer science; Benchmark (surveying); Post-modern portfolio theory; Replicating portfolio; Volatility (finance); Portfolio optimization; Mathematical optimization; Economics; Mathematics; Financial economics; Artificial intelligence","score_opus":0.016331258681923547,"score_gpt":0.19941164642018983,"score_spread":0.1830803877382663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046597096","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18516889,0.0005448241,0.80642253,0.00028609834,0.00006714882,0.00021674705,0.00011463191,0.00090543774,0.0062737013],"genre_scores_gemma":[0.7241376,0.00023040248,0.27229545,0.00011608136,0.000037966252,0.00014247267,0.00028340085,0.00009312272,0.0026634703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987979,0.0003884481,0.00010322203,0.00029333128,0.0003254675,0.00009152503],"domain_scores_gemma":[0.99586844,0.0018562352,0.0005427734,0.00089780893,0.00068740075,0.0001474228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004251148,0.0011154664,0.0012013396,0.000989956,0.0002658967,0.0014846015,0.001482724,0.001182415,0.002539578],"category_scores_gemma":[0.015845405,0.0003408681,0.00051881134,0.0009465733,0.0003852408,0.0023710974,0.0007649973,0.000877873,0.0007185312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004260691,0.00038381253,0.008766787,0.00009927725,0.00022603168,0.0001410394,0.00010987272,0.5236906,0.0097867595,0.031557404,0.0018372119,0.42297506],"study_design_scores_gemma":[0.00004247609,0.00041449102,0.0010748014,0.000019774137,0.000041807267,0.00006677553,0.000017203021,0.9804985,0.004029143,0.012662951,0.0011165524,0.000015577069],"about_ca_topic_score_codex":0.0011183034,"about_ca_topic_score_gemma":0.00087143335,"teacher_disagreement_score":0.004251148,"about_ca_system_score_codex":0.00062419416,"about_ca_system_score_gemma":0.000823099,"threshold_uncertainty_score":0.022482514},"labels":[],"label_agreement":null},{"id":"W3046716594","doi":"10.1057/s41261-020-00130-4","title":"Discretionary loan loss provisioning and stock trading liquidity","year":2020,"lang":"en","type":"article","venue":"Journal of Banking Regulation","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Market liquidity; Loan; Business; Financial system; Participation loan; Stock (firearms); Finance; Accounting; Monetary economics; Economics; Non-performing loan","score_opus":0.03780406566343725,"score_gpt":0.22123957749026513,"score_spread":0.18343551182682788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046716594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975925,0.00020086375,0.0003896877,0.0003043554,0.000005540057,0.0000026489145,0.00005399914,0.0000058578935,0.0014444491],"genre_scores_gemma":[0.99953914,0.00003174812,0.00003336902,0.00001482851,0.000007853657,7.568921e-7,0.000018672003,0.0000013903145,0.0003522201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971503,0.000089232904,0.000035114816,0.000048603728,0.000033608594,0.00007838781],"domain_scores_gemma":[0.977235,0.013786439,0.006590651,0.0008429101,0.00036563486,0.0011793623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009812233,0.000097888405,0.0002547153,0.00029290974,0.00028049725,0.0022227513,0.00036954842,0.000995828,0.0057709343],"category_scores_gemma":[0.01672802,0.00023347554,0.00016995292,0.00029156735,0.0005667131,0.0012139601,0.00059699244,0.0011469672,0.00040800072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035410856,0.001183741,0.9311787,0.00008008114,0.00016736214,0.0012344456,0.0008415069,0.009913521,0.006316299,0.016193483,0.0011900134,0.028159734],"study_design_scores_gemma":[0.000092175804,0.0002612628,0.95748836,0.000025924408,0.0001102897,0.00053075136,0.0008321273,0.020167599,0.000868349,0.018888306,0.0007003587,0.0000345932],"about_ca_topic_score_codex":0.0018832935,"about_ca_topic_score_gemma":0.0023627551,"teacher_disagreement_score":0.0057709343,"about_ca_system_score_codex":0.00036539734,"about_ca_system_score_gemma":0.00029553304,"threshold_uncertainty_score":0.019305646},"labels":[],"label_agreement":null},{"id":"W3046906055","doi":"10.3390/jrfm13080169","title":"Performance Dynamics of International Exchange-Traded Funds","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; International market; Replication (statistics); Financial economics; Economics; Commerce; Mathematics; Statistics","score_opus":0.018156650457683405,"score_gpt":0.19333460292150778,"score_spread":0.17517795246382437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046906055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99662566,0.0001801155,0.00044673152,0.0001315528,0.0000059425106,0.000004054075,0.00011010848,0.000018162122,0.002477727],"genre_scores_gemma":[0.9993736,0.000045352885,0.00009852279,0.0000060740836,0.000004909129,0.000001932079,0.000094112555,0.0000033027968,0.00037214305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999361,0.00014847735,0.000057792247,0.000110232875,0.00018554927,0.0001369943],"domain_scores_gemma":[0.9957877,0.0014233674,0.0015816317,0.00022544216,0.0006727449,0.00030919348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019035772,0.00031833685,0.00030361448,0.0010362515,0.00025525258,0.001980531,0.00034263657,0.00066899584,0.0015407277],"category_scores_gemma":[0.012187265,0.000101869395,0.00018584245,0.0008025308,0.0003637036,0.001974447,0.0007910357,0.00048315202,0.00029987327],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003308402,0.0005116301,0.6496251,0.0001253626,0.00021439252,0.0015283829,0.0019728786,0.1616115,0.01579435,0.04974687,0.005003741,0.11055736],"study_design_scores_gemma":[0.00012874888,0.0012601609,0.5890863,0.00007034997,0.00013184232,0.0011647595,0.0017863077,0.370947,0.012386281,0.016086195,0.006789561,0.00016242017],"about_ca_topic_score_codex":0.0022797803,"about_ca_topic_score_gemma":0.0008740478,"teacher_disagreement_score":0.0022797803,"about_ca_system_score_codex":0.00092048553,"about_ca_system_score_gemma":0.0003195763,"threshold_uncertainty_score":0.0100672245},"labels":[],"label_agreement":null},{"id":"W3047223832","doi":"10.34989/san-2020-18","title":"What COVID-19 revealed about the resilience of bond funds","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Bond; Market liquidity; Business; Liquidity risk; Coronavirus disease 2019 (COVID-19); Financial system; Resilience (materials science); Cash; Bond market; Finance; Monetary economics; Economics; Medicine; Internal medicine","score_opus":0.07701226072751649,"score_gpt":0.2827738419197384,"score_spread":0.20576158119222193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047223832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38254458,0.06088508,0.017040096,0.3703412,0.0028022488,0.000049642564,0.003516947,0.00017766295,0.16264258],"genre_scores_gemma":[0.9761509,0.0108557325,0.0011100363,0.0051497766,0.0011772609,0.000009046943,0.0004285448,0.000037600166,0.005081159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988937,0.00025133934,0.000071835224,0.00031388368,0.00020455035,0.00026479136],"domain_scores_gemma":[0.9921942,0.0028384451,0.002012975,0.00088638335,0.0013667808,0.0007011164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026280445,0.0002427947,0.00030389885,0.0014250774,0.0007062363,0.004709575,0.0005544572,0.0015999586,0.012054234],"category_scores_gemma":[0.016099006,0.0001933359,0.0003113336,0.0012070645,0.0028433532,0.008821551,0.0010971794,0.002177961,0.0007765682],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054233253,0.00007519743,0.07710541,0.0012615342,0.0002610138,0.0010595625,0.0070915804,0.006408062,0.004319014,0.569013,0.053787123,0.27907613],"study_design_scores_gemma":[0.00002500218,0.00014231438,0.14406617,0.003207782,0.00015688897,0.0015630253,0.0173887,0.0059219534,0.004816751,0.60156995,0.22094521,0.00019614118],"about_ca_topic_score_codex":0.0078684045,"about_ca_topic_score_gemma":0.0059070103,"teacher_disagreement_score":0.012054234,"about_ca_system_score_codex":0.0021914085,"about_ca_system_score_gemma":0.0018069363,"threshold_uncertainty_score":0.040325403},"labels":[],"label_agreement":null},{"id":"W3047256744","doi":"10.5539/ijef.v12n9p46","title":"Does the Dogs of the Dow Theory Work at the Sectoral Level?","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dividend; Economics; Econometrics; Yield (engineering); Work (physics); Stock market; Index (typography); Stock (firearms); Financial economics; Finance; Computer science; Engineering","score_opus":0.03659699567006361,"score_gpt":0.20885190230601122,"score_spread":0.1722549066359476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047256744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30387875,0.03325046,0.16261026,0.25471425,0.005186926,0.0003033043,0.001805687,0.000517545,0.23773283],"genre_scores_gemma":[0.9609822,0.00700048,0.008915255,0.011784066,0.002386748,0.000073764706,0.00042062928,0.000090758804,0.0083460845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99628323,0.00094317587,0.00020195686,0.0009507184,0.0012033046,0.00041766535],"domain_scores_gemma":[0.9774081,0.013226782,0.004053286,0.0019073358,0.002538197,0.00086639146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070705474,0.00067700294,0.0017350346,0.0042628124,0.0013353335,0.004983809,0.002306986,0.002693215,0.01810617],"category_scores_gemma":[0.024591668,0.0003962521,0.0012289756,0.0035865903,0.007055636,0.012737462,0.0024275975,0.0033581024,0.0035322388],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024578598,0.0002628806,0.11015996,0.00046797883,0.0003270635,0.00046434987,0.0014736777,0.0016995256,0.00035491982,0.7641273,0.019763058,0.10065345],"study_design_scores_gemma":[0.000080974845,0.0003501501,0.05171455,0.00044764002,0.00014097584,0.0006106665,0.0032869836,0.008164781,0.0004780153,0.90069467,0.033940926,0.00008973866],"about_ca_topic_score_codex":0.0051074643,"about_ca_topic_score_gemma":0.003023254,"teacher_disagreement_score":0.01810617,"about_ca_system_score_codex":0.0017122298,"about_ca_system_score_gemma":0.0020208354,"threshold_uncertainty_score":0.060571134},"labels":[],"label_agreement":null},{"id":"W3047395104","doi":"10.21272/sec.4(2).5-13.2020","title":"The Business Cycle And The Portfolio Composition Of Mutual Funds","year":2020,"lang":"en","type":"article","venue":"SocioEconomic Challenges","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mutual fund; Bond; Fund of funds; Closed-end fund; Composition (language); Portfolio; Business; Index (typography); Quarter (Canadian coin); Open-end fund; Institutional investor; Economics; Finance; Corporate governance; Computer science","score_opus":0.03389163694884211,"score_gpt":0.20757425741222948,"score_spread":0.17368262046338737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047395104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419147,0.0005618791,0.00094908016,0.00014407121,0.00000499274,0.000010238986,0.00011038508,0.000006821436,0.004021139],"genre_scores_gemma":[0.9989471,0.00018579091,0.00030304855,0.000011175363,0.00000774117,0.0000033021176,0.000099799654,0.000002301188,0.0004398291],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995715,0.00011045585,0.000046263696,0.000067260145,0.00012878435,0.00007570761],"domain_scores_gemma":[0.998231,0.00038228015,0.0009303154,0.00009770523,0.00019785168,0.00016084644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084868545,0.00014087853,0.00018060346,0.0017158466,0.00024769956,0.0011592093,0.00015705556,0.00023012701,0.0010293748],"category_scores_gemma":[0.0065672914,0.00008241507,0.0001590406,0.0014762656,0.0003659783,0.0008572021,0.00057330483,0.00017715716,0.00016318283],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000470885,0.00004416863,0.90005344,0.000049180388,0.00010927891,0.00029759982,0.0005624987,0.004398239,0.0032895824,0.019419406,0.0005887671,0.07071686],"study_design_scores_gemma":[0.000021828688,0.000082664716,0.9740602,0.00002860963,0.000044813743,0.000328477,0.00052764965,0.00735426,0.0016124119,0.010607084,0.0053154947,0.00001655661],"about_ca_topic_score_codex":0.0016411172,"about_ca_topic_score_gemma":0.0014738531,"teacher_disagreement_score":0.0017158466,"about_ca_system_score_codex":0.0007155372,"about_ca_system_score_gemma":0.0003002019,"threshold_uncertainty_score":0.005191624},"labels":[],"label_agreement":null},{"id":"W3047809254","doi":"10.3390/jrfm13080178","title":"Cryptocurrency Trading Using Machine Learning","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Downside risk; Portfolio; Computer science; Trading strategy; Transaction cost; Reinforcement learning; Relation (database); Database transaction; Econometrics; Artificial intelligence; Machine learning; Financial economics; Economics; Microeconomics; Data mining; Computer security; Database","score_opus":0.033106369419774365,"score_gpt":0.21180356333094313,"score_spread":0.17869719391116878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047809254","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12222909,0.00046139,0.86530656,0.0013817584,0.000107194835,0.000086401255,0.00015463665,0.00046125884,0.009811745],"genre_scores_gemma":[0.9611198,0.00017722866,0.033210684,0.00010056005,0.00004327452,0.00009753663,0.00007448519,0.000023582534,0.0051529044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995453,0.00021051535,0.000018415145,0.000080758415,0.00008027986,0.00006459927],"domain_scores_gemma":[0.9979134,0.0014234822,0.00021665286,0.00013479765,0.00021537089,0.000096396645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012512846,0.0005895099,0.0008429921,0.00038589066,0.00038101702,0.0012761719,0.001334347,0.0013893943,0.002967732],"category_scores_gemma":[0.0041498677,0.0002925988,0.0004936318,0.00044290948,0.0009594653,0.0015191777,0.0006467748,0.0014871774,0.0004199743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003181397,0.000047720994,0.0007503079,0.000013017262,0.000021087977,0.000046011595,0.000016151651,0.9747069,0.000256649,0.017537462,0.00034792128,0.006225031],"study_design_scores_gemma":[0.0000038235976,0.0000072406638,0.000035373476,0.0000011486303,0.0000014580507,0.000004085143,8.233023e-7,0.9968395,0.000028562565,0.0030013581,0.00007491008,0.0000017476447],"about_ca_topic_score_codex":0.00718992,"about_ca_topic_score_gemma":0.0055372547,"teacher_disagreement_score":0.00718992,"about_ca_system_score_codex":0.001219281,"about_ca_system_score_gemma":0.0009036099,"threshold_uncertainty_score":0.014296174},"labels":[],"label_agreement":null},{"id":"W3048701147","doi":"10.1016/j.jeca.2020.e00172","title":"Understanding the impact of investor sentiment on the price formation process: A review of the conduct of American stock markets","year":2020,"lang":"en","type":"review","venue":"The Journal of Economic Asymmetries","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contrarian; Market sentiment; Economics; Financial economics; Stock (firearms); Stock market; Trading strategy; Econometrics; Irrational number; Behavioral economics; Microeconomics","score_opus":0.19309486596722003,"score_gpt":0.3295626945033742,"score_spread":0.1364678285361542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048701147","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009118885,0.9992242,0.00006257572,0.00035482438,0.000054196666,0.0000013202089,0.000014290302,0.0000010615008,0.00019638386],"genre_scores_gemma":[0.00083901593,0.99866366,0.00008734771,0.00020810896,0.00013341996,0.0000019824479,0.000014872317,6.753938e-7,0.000050877992],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943477,0.00013777026,0.00010671738,0.000104001294,0.00018678413,0.000029922965],"domain_scores_gemma":[0.9950413,0.0033711619,0.00063012086,0.00007323816,0.0007728925,0.00011130867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002282726,0.0007682402,0.0015623792,0.0028213111,0.00023748557,0.0020513672,0.0008750424,0.0014485436,0.0020099652],"category_scores_gemma":[0.006467015,0.00039856095,0.000629272,0.0056792386,0.0007978373,0.0029320728,0.00093964435,0.0016150783,0.00061724155],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088996574,0.00004538738,0.00085814955,0.032534525,0.0002577683,0.00005244432,0.00008820241,0.0005534153,0.0005605329,0.007112831,0.015228838,0.9426189],"study_design_scores_gemma":[0.0000522902,0.0002087089,0.011254036,0.050152384,0.001152317,0.0005537642,0.00023762789,0.00068412616,0.00064569997,0.014814858,0.920159,0.00008532621],"about_ca_topic_score_codex":0.0038261316,"about_ca_topic_score_gemma":0.007464186,"teacher_disagreement_score":0.0038261316,"about_ca_system_score_codex":0.0010563491,"about_ca_system_score_gemma":0.003039888,"threshold_uncertainty_score":0.012072325},"labels":[],"label_agreement":null},{"id":"W3049081393","doi":"10.2139/ssrn.3669068","title":"A One-Factor Model of Corporate Bond Premia","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Corporate bond; Bond; Factor (programming language); Business; Risk premium; Financial economics; Economics; Finance; Computer science","score_opus":0.0637436887409412,"score_gpt":0.20786260851797755,"score_spread":0.14411891977703634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049081393","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28424776,0.0044354335,0.6318095,0.013215436,0.00064514036,0.00027902483,0.006793883,0.0015540924,0.05701974],"genre_scores_gemma":[0.8985021,0.0027516861,0.024916762,0.0003654796,0.0003905748,0.00018460499,0.0016504631,0.00017129879,0.071067154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990018,0.00040051513,0.000049512586,0.00031530685,0.00009867623,0.00013411227],"domain_scores_gemma":[0.99593204,0.0026109943,0.0005260321,0.00026715783,0.0004331799,0.00023051318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025226767,0.0014374432,0.00210926,0.001181403,0.00080161827,0.004164035,0.0029884968,0.0052194796,0.012804506],"category_scores_gemma":[0.008933618,0.0013539696,0.001726105,0.0019031008,0.0015149903,0.0052576317,0.0010459776,0.0034078343,0.0036740866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025940462,0.000230932,0.004633994,0.00018495582,0.00025461346,0.0007516035,0.00038855794,0.6262005,0.0010909153,0.34110132,0.006616417,0.018286772],"study_design_scores_gemma":[0.000111105524,0.000083825755,0.0018145421,0.000031409458,0.00009379224,0.00017869612,0.000055765802,0.9116851,0.00014011541,0.083812155,0.0019385864,0.000054838754],"about_ca_topic_score_codex":0.02048253,"about_ca_topic_score_gemma":0.011214156,"teacher_disagreement_score":0.02048253,"about_ca_system_score_codex":0.0016509292,"about_ca_system_score_gemma":0.0016972666,"threshold_uncertainty_score":0.042835355},"labels":[],"label_agreement":null},{"id":"W3049154680","doi":"10.2139/ssrn.3419446","title":"Semi-strong Factors in Asset Returns","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Asset (computer security); Financial economics; Econometrics; Economics; Computer science; Computer security","score_opus":0.015984223443172813,"score_gpt":0.21014091670872295,"score_spread":0.19415669326555013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049154680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91543454,0.0012115975,0.066579945,0.00083871174,0.00009347502,0.00002877088,0.00022261406,0.00024070826,0.015349615],"genre_scores_gemma":[0.9949132,0.00033435415,0.0012802116,0.000034894634,0.00010093949,0.00000866265,0.00005031377,0.000025302781,0.0032521237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995542,0.00009600441,0.000033163586,0.00010444502,0.00010185387,0.00011028016],"domain_scores_gemma":[0.9841149,0.009748805,0.0027407825,0.001009331,0.0008571792,0.0015290187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001846524,0.00048292405,0.0009443078,0.0016092423,0.00049963145,0.0028227363,0.00054963503,0.0008846296,0.0086723],"category_scores_gemma":[0.012575744,0.00048261826,0.000832175,0.0010793698,0.0026497873,0.0046853744,0.0016219435,0.0013853875,0.0009271495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004431814,0.00018184228,0.03717736,0.0002782114,0.00021893653,0.0013904283,0.00045278174,0.030994367,0.005598733,0.8877936,0.003186336,0.03228423],"study_design_scores_gemma":[0.000099914,0.0002451331,0.044402014,0.000057926027,0.0000762917,0.0006384177,0.00026908002,0.074542366,0.0011607046,0.87685275,0.0015761318,0.000079270074],"about_ca_topic_score_codex":0.001088174,"about_ca_topic_score_gemma":0.0012761926,"teacher_disagreement_score":0.0086723,"about_ca_system_score_codex":0.0004942152,"about_ca_system_score_gemma":0.0005819535,"threshold_uncertainty_score":0.029011726},"labels":[],"label_agreement":null},{"id":"W3049597040","doi":"10.1002/cjas.1585","title":"Do single‐stock circuit breakers provide a safety net for Canadian investors?","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Circuit breaker; Market liquidity; Stock (firearms); Volatility (finance); Monetary economics; Business; Stock market; Stock exchange; Economics; Market maker; Financial economics; Finance; Engineering","score_opus":0.18078522746906323,"score_gpt":0.2792954961332985,"score_spread":0.09851026866423529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049597040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95386624,0.0013438556,0.00048774894,0.0065571545,0.000055625515,0.000032691354,0.0014173195,0.000033511864,0.036205865],"genre_scores_gemma":[0.9973773,0.00036967784,0.00013289582,0.0001484858,0.000014157259,0.0000016947762,0.00019527675,0.0000035352598,0.0017570838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909806,0.000046851565,0.000025545809,0.000075843716,0.00045930588,0.00029454703],"domain_scores_gemma":[0.99443746,0.00066215603,0.0017534874,0.00020450952,0.0019968634,0.0009454891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010477958,0.00016765835,0.0002929131,0.00094637624,0.0013646517,0.0028650833,0.0009203693,0.000633136,0.007032057],"category_scores_gemma":[0.011017898,0.00012480738,0.00022748759,0.001649198,0.0008544213,0.0009208802,0.0005467088,0.0006156109,0.00034538523],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006627006,0.00012518215,0.83467597,0.00015281922,0.00010639117,0.00042206896,0.0014620161,0.0028053687,0.0015761408,0.013540789,0.016294472,0.12817605],"study_design_scores_gemma":[0.00006176792,0.00012351351,0.96117616,0.00008474634,0.000087301996,0.00013849806,0.0042924983,0.0056082653,0.0011455966,0.0021037133,0.025126671,0.000051190706],"about_ca_topic_score_codex":0.94092584,"about_ca_topic_score_gemma":0.965747,"teacher_disagreement_score":0.059074163,"about_ca_system_score_codex":0.016940426,"about_ca_system_score_gemma":0.017922666,"threshold_uncertainty_score":0.12291199},"labels":[],"label_agreement":null},{"id":"W3063685112","doi":"10.3390/jrfm13090190","title":"Volatility-Adjusted 60/40 versus 100—New Risk Investing Paradigm","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Diversification (marketing strategy); Equity (law); Bond; Leverage (statistics); Portfolio; Financial economics; Economics; Business; Monetary economics; Actuarial science; Finance; Marketing; Computer science","score_opus":0.046776347966847175,"score_gpt":0.21757592520048447,"score_spread":0.17079957723363728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3063685112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9054508,0.00064064196,0.060511004,0.0007538384,0.000093229166,0.00006086995,0.00012914809,0.0001240206,0.03223643],"genre_scores_gemma":[0.9910745,0.00014291776,0.006738226,0.00009588203,0.000055265005,0.000023616394,0.000052996354,0.00001533542,0.0018012307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999092,0.00015505524,0.000059383194,0.00017661367,0.00043113105,0.0000857429],"domain_scores_gemma":[0.99854785,0.00038701174,0.00039891468,0.00034272496,0.0001514014,0.00017213254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021627778,0.00027678604,0.0005114302,0.0005735314,0.0002030191,0.0015909442,0.00074585906,0.0005256352,0.0017980019],"category_scores_gemma":[0.0048173866,0.000108004024,0.0003519358,0.00032080864,0.00054788723,0.0013894963,0.0007344794,0.00096688786,0.0002661237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010022621,0.0009042779,0.052364603,0.00018748523,0.0003072213,0.0010737956,0.0005377064,0.08230706,0.05144491,0.48504502,0.003490567,0.32133508],"study_design_scores_gemma":[0.00019523349,0.0020036823,0.06822631,0.0001075326,0.0001679742,0.0021106,0.00034517315,0.43678093,0.017709494,0.45252743,0.019664867,0.0001607818],"about_ca_topic_score_codex":0.00033961394,"about_ca_topic_score_gemma":0.0003024274,"teacher_disagreement_score":0.0021627778,"about_ca_system_score_codex":0.0003652404,"about_ca_system_score_gemma":0.00035435392,"threshold_uncertainty_score":0.011438012},"labels":[],"label_agreement":null},{"id":"W3076356231","doi":"10.3390/jrfm13080185","title":"Review Papers for Journal of Risk and Financial Management (JRFM)","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council","keywords":"Economics; Risk management; Equity (law); Financial economics; Portfolio; Financial market; Financial engineering; Stock (firearms); Finance; Actuarial science; Political science; Engineering","score_opus":0.019457545839551733,"score_gpt":0.2087634790758218,"score_spread":0.18930593323627007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3076356231","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00042769287,0.66463697,0.0010609269,0.047992714,0.27466953,0.00020372885,0.0005185946,0.00011746757,0.010372347],"genre_scores_gemma":[0.0034407298,0.70910233,0.0024157853,0.030017156,0.23420915,0.0002857829,0.00094563817,0.00013262297,0.019450769],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99524766,0.00079039484,0.0011003976,0.00043647652,0.0020735124,0.00035160652],"domain_scores_gemma":[0.9572274,0.011050375,0.004754117,0.0009595291,0.021417668,0.0045909192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007081463,0.001215905,0.0026138406,0.0085414145,0.001347497,0.0061337007,0.0021374747,0.004062213,0.03540818],"category_scores_gemma":[0.030577596,0.00051175593,0.0016169047,0.006265744,0.0010189804,0.0037770977,0.0017908904,0.0036144448,0.015807083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011281596,0.000047859976,0.00021041911,0.009245299,0.00010421548,0.000103883256,0.000065896216,0.00005730051,0.00031778062,0.0017523717,0.81250787,0.1754744],"study_design_scores_gemma":[0.000031499672,0.0000507817,0.0007530896,0.006538845,0.0001368372,0.0003978574,0.00007469511,0.000041781925,0.00011393881,0.0012791185,0.9905562,0.000025385754],"about_ca_topic_score_codex":0.00088390865,"about_ca_topic_score_gemma":0.0013555501,"teacher_disagreement_score":0.03540818,"about_ca_system_score_codex":0.0021045473,"about_ca_system_score_gemma":0.008196782,"threshold_uncertainty_score":0.11845213},"labels":[],"label_agreement":null},{"id":"W3076780190","doi":"","title":"Abstract for Currency Risk at Emerging Market Firms | Bulletin – June Quarter 2016","year":2016,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Currency; Business; Economics; Monetary economics; Geography","score_opus":0.020611541477821373,"score_gpt":0.21576108138838945,"score_spread":0.19514953991056808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3076780190","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018285308,0.16464013,0.0044657746,0.22333077,0.16614942,0.00035292807,0.04905229,0.0014485507,0.37227488],"genre_scores_gemma":[0.099876694,0.062412348,0.0017411768,0.006528775,0.08329592,0.00030491824,0.025120191,0.0006446196,0.72007537],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991999,0.00010761795,0.000082221486,0.00009397558,0.00041110936,0.00010527024],"domain_scores_gemma":[0.99451846,0.00079744874,0.0008537184,0.00040955376,0.0026131805,0.000807624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016790408,0.001222043,0.0008051697,0.0041376073,0.0010797859,0.004143856,0.00060527504,0.0015710008,0.077292636],"category_scores_gemma":[0.008892044,0.0003434686,0.0006778693,0.0029466334,0.0004190976,0.0023505802,0.0013939044,0.0029510483,0.02175181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000752854,0.000026347963,0.001479783,0.00009565757,0.000011864456,0.000024842597,0.000025989422,0.0002016845,0.000054903554,0.0015019262,0.9717399,0.024761887],"study_design_scores_gemma":[0.000029832909,0.00007443146,0.024231365,0.0006997519,0.000036623747,0.000087252614,0.00009904826,0.0006518416,0.00031727983,0.0035402246,0.9702086,0.000023808878],"about_ca_topic_score_codex":0.010083854,"about_ca_topic_score_gemma":0.0164954,"teacher_disagreement_score":0.077292636,"about_ca_system_score_codex":0.002158839,"about_ca_system_score_gemma":0.0019685463,"threshold_uncertainty_score":0.2585696},"labels":[],"label_agreement":null},{"id":"W3080465189","doi":"10.5430/afr.v9n3p85","title":"The Small-Sized Premium: Is It Really Relevant? Evidence from the European Equity Market","year":2020,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Ex-ante; Cost of capital; Valuation (finance); Risk premium; Capital asset pricing model; Financial economics; Equity (law); Cost of equity; Microeconomics; Finance","score_opus":0.19272838250825752,"score_gpt":0.32709447773314926,"score_spread":0.13436609522489174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080465189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9584412,0.013189579,0.0016167526,0.005222585,0.000121575424,0.000017243296,0.00064164354,0.000025604497,0.020723814],"genre_scores_gemma":[0.9963654,0.0022405565,0.00010145266,0.00030853198,0.00016046212,0.000001343891,0.00030152686,0.000006812954,0.0005137996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952126,0.00013557222,0.00004392186,0.00012323655,0.00012208351,0.000053889427],"domain_scores_gemma":[0.97454846,0.01458728,0.0076647145,0.0013034686,0.0010525372,0.0008436353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025010032,0.00026025317,0.00045785395,0.0010187998,0.0002613343,0.0018767063,0.00055449497,0.00096822367,0.0054889517],"category_scores_gemma":[0.012447138,0.00012182256,0.0003605696,0.0011279715,0.0014697138,0.002803216,0.000710602,0.00086970546,0.00047881636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024563442,0.0006198244,0.71448636,0.0010209952,0.0007488055,0.0018127448,0.0018301927,0.0029188145,0.0032511477,0.09027302,0.014528698,0.16605301],"study_design_scores_gemma":[0.00011540058,0.00019654015,0.9567539,0.00033172494,0.00035117555,0.0004139906,0.0012078894,0.0033785773,0.0016380127,0.019898128,0.015662959,0.000051625004],"about_ca_topic_score_codex":0.0031229937,"about_ca_topic_score_gemma":0.0025042933,"teacher_disagreement_score":0.0054889517,"about_ca_system_score_codex":0.00036307017,"about_ca_system_score_gemma":0.0001986549,"threshold_uncertainty_score":0.018362403},"labels":[],"label_agreement":null},{"id":"W3080667429","doi":"10.5430/afr.v9n3p101","title":"The Influence of Behavioural Finance Factors and the Moderating Effects of Contextual and Demographic Factors on Individual Investor’s Investment Performance","year":2020,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Stock market; Stock exchange; Investment decisions; Irrationality; Business; Financial economics; Affect (linguistics); Investment (military); Stock (firearms); Economics; Financial market; Behavioral economics; Finance; Monetary economics; Rationality; Context (archaeology)","score_opus":0.07522310071617509,"score_gpt":0.2590590057670999,"score_spread":0.18383590505092479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080667429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976845,0.00011762872,0.00023079572,0.00013618376,0.0000056210074,0.000012386169,0.00009351716,0.0000024080434,0.0017170503],"genre_scores_gemma":[0.9993699,0.000054300595,0.00015902008,0.000019050818,0.0000039202464,0.0000063173975,0.00008013445,8.887849e-7,0.00030656252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905795,0.00038128922,0.00007995916,0.0001391469,0.00017336692,0.00016829967],"domain_scores_gemma":[0.9951251,0.0024300201,0.0015113273,0.00033657643,0.00021736085,0.000379655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012001964,0.0002317907,0.0002375843,0.00042566034,0.00028758822,0.0010629421,0.00019909465,0.00038615047,0.002432434],"category_scores_gemma":[0.0054229763,0.00012193228,0.000364706,0.0004811608,0.0004725084,0.000535163,0.0005395938,0.000533761,0.00023155434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007149832,0.00011249755,0.99077964,0.000027900573,0.000094050636,0.000121110905,0.0011314615,0.00018652207,0.00038031797,0.00029071263,0.00009741016,0.0067068273],"study_design_scores_gemma":[0.0000018210673,0.00010027641,0.99741566,0.000012407088,0.000029320883,0.000048815204,0.0012384923,0.00048344434,0.00013237458,0.00019480624,0.00033649997,0.0000061620426],"about_ca_topic_score_codex":0.0057871477,"about_ca_topic_score_gemma":0.010825294,"teacher_disagreement_score":0.0057871477,"about_ca_system_score_codex":0.00044099495,"about_ca_system_score_gemma":0.00053814176,"threshold_uncertainty_score":0.011506915},"labels":[],"label_agreement":null},{"id":"W3081648649","doi":"10.3390/jrfm13090196","title":"Determining Force behind Value Premium: The Case of Financial Leverage and Operating Leverage","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Operating leverage; Value premium; Leverage (statistics); Risk premium; Financial economics; Stock exchange; Business; Economics; Financial risk; Monetary economics; Stock market; Capital asset pricing model; Finance; Profitability index","score_opus":0.02194510289408689,"score_gpt":0.20752153998978928,"score_spread":0.1855764370957024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081648649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92790407,0.008059824,0.0096341465,0.007909603,0.000100306796,0.00004249741,0.00012399982,0.00003457292,0.046191055],"genre_scores_gemma":[0.9982565,0.0005504195,0.0002541655,0.00007730725,0.00013654401,0.00000420379,0.000011115784,0.0000031152326,0.00070674624],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990995,0.00022288508,0.000046502682,0.00017395959,0.00022259979,0.00023464698],"domain_scores_gemma":[0.98236567,0.011553198,0.0035522978,0.00059392914,0.00086597225,0.0010689058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017613615,0.0004511592,0.0006971306,0.0021070715,0.0005442729,0.0029034119,0.0005934807,0.0019511294,0.0059784683],"category_scores_gemma":[0.014127428,0.000197907,0.00063845963,0.0009012591,0.0029129593,0.0032946027,0.0013405598,0.0020035582,0.0003707252],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048017735,0.00029826578,0.41540506,0.0002501197,0.00026655575,0.00863798,0.0020948236,0.003220444,0.006722139,0.5102367,0.0017673888,0.050620344],"study_design_scores_gemma":[0.00012229482,0.0003818236,0.44401708,0.00035950614,0.00044842227,0.0051609,0.0032365092,0.032823972,0.002638991,0.50501114,0.0056367987,0.00016258792],"about_ca_topic_score_codex":0.002156003,"about_ca_topic_score_gemma":0.00089166104,"teacher_disagreement_score":0.0059784683,"about_ca_system_score_codex":0.0006693836,"about_ca_system_score_gemma":0.0006047094,"threshold_uncertainty_score":0.01999998},"labels":[],"label_agreement":null},{"id":"W3081985975","doi":"10.26845/kjfs.2020.08.49.4.565","title":"Daily Winners and Losers in the Korean Stock Market","year":2020,"lang":"en","type":"article","venue":"Korean Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Korea Advanced Institute of Science and Technology","keywords":"Volatility (finance); Stock (firearms); Economics; Monetary economics; Stock market; Institutional investor; Financial economics; Finance; Geography; Corporate governance","score_opus":0.056021533342590905,"score_gpt":0.24150601896812723,"score_spread":0.18548448562553632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081985975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988224,0.00014344629,0.00006489309,0.0000745552,0.0000083194345,0.0000037080954,0.00005873296,0.0000034348448,0.00082044874],"genre_scores_gemma":[0.9991339,0.000063086,0.000038732178,0.000027161715,0.000016474067,0.000001572858,0.00008620418,0.0000016832578,0.0006312052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943095,0.00005276282,0.000055842072,0.00012713554,0.0001759299,0.00015731336],"domain_scores_gemma":[0.9960162,0.00047989914,0.0020806196,0.00023711789,0.00028178352,0.0009044089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011158437,0.00026222534,0.0005246831,0.001215429,0.0005953333,0.001455431,0.00034955522,0.0003670984,0.0033068547],"category_scores_gemma":[0.0037982087,0.00020654908,0.00037901872,0.0007165679,0.000497858,0.0013896967,0.0011564862,0.00077354,0.00034447483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052291993,0.00015061387,0.97806793,0.000031532676,0.00018221498,0.00042102893,0.0005420235,0.00028630949,0.0012368528,0.00084071467,0.0006110645,0.017106686],"study_design_scores_gemma":[0.00001007921,0.0001368503,0.9975062,0.000004064931,0.00004976989,0.00015854728,0.0005976495,0.0005284817,0.00023016744,0.0004450794,0.00032178735,0.000011384093],"about_ca_topic_score_codex":0.0043245647,"about_ca_topic_score_gemma":0.0063146967,"teacher_disagreement_score":0.0043245647,"about_ca_system_score_codex":0.0003497454,"about_ca_system_score_gemma":0.0002293573,"threshold_uncertainty_score":0.0110625625},"labels":[],"label_agreement":null},{"id":"W3082360100","doi":"10.1002/mde.3229","title":"Advertising persuasion in dual markets","year":2020,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Persuasion; Dual (grammatical number); Advertising; Business; Dual role; Psychology","score_opus":0.028494960523681848,"score_gpt":0.20569943252238096,"score_spread":0.1772044719986991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082360100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694631,0.0008595804,0.0026764933,0.0012719856,0.0000410664,0.00003135515,0.000042978565,0.000024032854,0.02558951],"genre_scores_gemma":[0.9987968,0.00009675887,0.00022833374,0.00007710929,0.000023659062,0.000005377331,0.000008085181,0.0000020929435,0.0007616288],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972248,0.0014312525,0.00010715364,0.00034560123,0.00048733052,0.00040400194],"domain_scores_gemma":[0.9688185,0.02285191,0.0048752427,0.0012561334,0.0011006806,0.001097558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048801764,0.0003345301,0.00075385446,0.001817834,0.0005424351,0.004470425,0.00045320473,0.0014232431,0.00806277],"category_scores_gemma":[0.026867606,0.00034562894,0.0004943464,0.0006699539,0.0012981088,0.0030785627,0.0016261929,0.0013839409,0.00059163023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009030899,0.00796584,0.32107356,0.0011754155,0.0011259972,0.0033832372,0.0071930676,0.022374775,0.013406772,0.21476254,0.010215139,0.3882928],"study_design_scores_gemma":[0.0021963352,0.0023105498,0.4254574,0.00032756943,0.0010624642,0.0026202179,0.01118183,0.14862621,0.009664816,0.3695657,0.026671397,0.00031553218],"about_ca_topic_score_codex":0.0015882265,"about_ca_topic_score_gemma":0.000743694,"teacher_disagreement_score":0.00806277,"about_ca_system_score_codex":0.0009885022,"about_ca_system_score_gemma":0.00042616378,"threshold_uncertainty_score":0.026972711},"labels":[],"label_agreement":null},{"id":"W3082905486","doi":"10.1111/jbfa.12497","title":"Target price forecasts: The roles of the 52‐week high price and recent investor sentiment","year":2020,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Earnings; Economics; Stock price; Stock (firearms); Earnings growth; Econometrics; Financial economics; Monetary economics; Finance; Biology; Series (stratigraphy)","score_opus":0.03364012328458442,"score_gpt":0.19797149405797415,"score_spread":0.16433137077338972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082905486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914453,0.00019079755,0.0013058694,0.00047153182,0.00003683818,0.000008920215,0.00023736808,0.000018436622,0.0062849154],"genre_scores_gemma":[0.99919754,0.000064071326,0.00020122377,0.000024030918,0.00003456639,0.0000016918242,0.00011388676,0.000004814992,0.00035826664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994916,0.00015321595,0.000037472422,0.00009261935,0.00017162006,0.00005347581],"domain_scores_gemma":[0.98007065,0.01146131,0.005386444,0.00060966564,0.0016110752,0.00086083496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019846088,0.00022096297,0.00026061942,0.0005053012,0.00019565398,0.0018046784,0.00022503539,0.00048134103,0.0024201297],"category_scores_gemma":[0.018831315,0.00013993506,0.00018957927,0.00047760794,0.00019395463,0.001391778,0.0005203169,0.0007054224,0.00050184666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065109885,0.00013902187,0.9454341,0.00004236678,0.00017443304,0.00022277668,0.00067798165,0.0057529677,0.0026062315,0.0017847724,0.0020566853,0.04045758],"study_design_scores_gemma":[0.000012882134,0.00012098097,0.9719168,0.000026477937,0.00005499436,0.00007548921,0.00043940416,0.023377994,0.0009009099,0.0019135346,0.0011281479,0.000032364806],"about_ca_topic_score_codex":0.0047612805,"about_ca_topic_score_gemma":0.0056553963,"teacher_disagreement_score":0.0047612805,"about_ca_system_score_codex":0.0003733316,"about_ca_system_score_gemma":0.00030624456,"threshold_uncertainty_score":0.010495782},"labels":[],"label_agreement":null},{"id":"W3082983931","doi":"","title":"Abstract for The Effect of Chinese Macroeconomic News on Australian Financial Markets | Bulletin – December Quarter 2016","year":2016,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Financial market; Business; Economics; Finance; History","score_opus":0.014499728005840345,"score_gpt":0.22489589095159201,"score_spread":0.21039616294575167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082983931","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14241831,0.04525455,0.0010287531,0.15394369,0.1101127,0.00048662012,0.1127029,0.0011785268,0.43287396],"genre_scores_gemma":[0.18773186,0.015001711,0.00029047386,0.0055081975,0.021549962,0.00020869795,0.02196273,0.00035177922,0.74739444],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992576,0.000051485902,0.00006885811,0.00006911021,0.00042088487,0.00013208225],"domain_scores_gemma":[0.9948084,0.00058990484,0.0008728806,0.00023869032,0.0027908643,0.0006993775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011001654,0.0006497846,0.0006155587,0.003121131,0.0014896613,0.0044736075,0.00041681362,0.0010936673,0.08166562],"category_scores_gemma":[0.0071747755,0.00023834892,0.00056208996,0.0037163326,0.00040725386,0.0013572747,0.0011707011,0.0017309735,0.020318875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005485147,0.00008754358,0.0132061625,0.00045909273,0.000059316866,0.00015511058,0.00025512633,0.00048622987,0.00035238772,0.0023878005,0.9405467,0.041456062],"study_design_scores_gemma":[0.00007832862,0.00013282192,0.24891688,0.00049181347,0.00010891781,0.00006470138,0.000493402,0.0009046446,0.0013759398,0.00096418336,0.74641275,0.000055709887],"about_ca_topic_score_codex":0.06641822,"about_ca_topic_score_gemma":0.07942142,"teacher_disagreement_score":0.08166562,"about_ca_system_score_codex":0.0027818854,"about_ca_system_score_gemma":0.003148542,"threshold_uncertainty_score":0.27319872},"labels":[],"label_agreement":null},{"id":"W3083083972","doi":"10.5430/rwe.v11n5p192","title":"The Lead and Lag Relationship Between Spot Market and Futures Market: Empirical Evidence From Vietnam","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Futures contract; Spot market; Granger causality; Econometrics; Variance decomposition of forecast errors; Economics; Financial economics; Price discovery; Stock market; Lead–lag compensator; Stock market index; Forward market; Stock exchange; Vector autoregression; Error correction model; Portfolio; Cointegration; Finance","score_opus":0.29579831007849133,"score_gpt":0.3541863082880985,"score_spread":0.05838799820960716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083083972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99659914,0.0005341631,0.00022058534,0.00022873527,0.00000884321,0.000004099873,0.00020315325,0.0000021148942,0.0021992158],"genre_scores_gemma":[0.99894696,0.00033477554,0.00006369561,0.000017800603,0.000010335027,0.0000013253737,0.000218393,0.0000019561653,0.00040480617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981326,0.0000355221,0.000018747058,0.000043721604,0.000052092997,0.000036705173],"domain_scores_gemma":[0.9973671,0.0010911851,0.0007582175,0.000086575004,0.00041053965,0.00028646184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054524106,0.00010106602,0.00012396325,0.0005741223,0.0002755585,0.0007895597,0.00019096788,0.0001740652,0.0024012362],"category_scores_gemma":[0.0027460377,0.00012772555,0.00017167808,0.0009382997,0.0002919757,0.0007023625,0.00030602768,0.00035934008,0.00014310845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009355455,0.00006884413,0.9827613,0.000070034715,0.00007350804,0.0012561413,0.0018481171,0.0005901315,0.0004971235,0.0018780605,0.000691351,0.010171869],"study_design_scores_gemma":[0.000012541153,0.00007931705,0.9863716,0.000042801643,0.00006426562,0.00048065462,0.003903465,0.0038382465,0.0004678223,0.0010147728,0.003710453,0.000014008331],"about_ca_topic_score_codex":0.02241186,"about_ca_topic_score_gemma":0.019075595,"teacher_disagreement_score":0.02241186,"about_ca_system_score_codex":0.00035371113,"about_ca_system_score_gemma":0.0005037342,"threshold_uncertainty_score":0.044562817},"labels":[],"label_agreement":null},{"id":"W3083285021","doi":"10.2139/ssrn.3634775","title":"Trading Simulations and Real Money Outcomes","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economics; Monetary economics; Business; Econometrics","score_opus":0.029967244216398542,"score_gpt":0.2256497293628307,"score_spread":0.19568248514643216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083285021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622562,0.00022309354,0.02711942,0.0008217169,0.00009025018,0.00002868934,0.00041275413,0.00020791133,0.00883994],"genre_scores_gemma":[0.99717087,0.00003740474,0.001719133,0.00002711722,0.00000833437,0.000013872461,0.00013830948,0.000017985029,0.00086694537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926025,0.000478269,0.000045361583,0.00008285863,0.00008437145,0.000048947477],"domain_scores_gemma":[0.9635422,0.032289054,0.0014013592,0.0012382843,0.0009603399,0.00056872494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021192713,0.000324013,0.0003801981,0.00067035464,0.00034287252,0.00177966,0.00060577394,0.0015284343,0.0079685245],"category_scores_gemma":[0.038201682,0.0003070807,0.00040195492,0.000580532,0.0008074985,0.0017414164,0.00061914104,0.0013212307,0.00043304762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044568113,0.00023388985,0.013625271,0.000057865025,0.000091263515,0.00025975486,0.00028256958,0.9373828,0.0004469414,0.040165737,0.0013819934,0.005626198],"study_design_scores_gemma":[0.00002923363,0.000039146573,0.0009101435,0.000010365165,0.0000096128515,0.00004446557,0.00005495396,0.9757853,0.00026003964,0.022586655,0.00026083697,0.000009212817],"about_ca_topic_score_codex":0.0018506788,"about_ca_topic_score_gemma":0.0012960421,"teacher_disagreement_score":0.0079685245,"about_ca_system_score_codex":0.0005727387,"about_ca_system_score_gemma":0.00038727652,"threshold_uncertainty_score":0.026657343},"labels":[],"label_agreement":null},{"id":"W3085297482","doi":"10.1108/jdqs-01-2018-b0003","title":"A Study on the Effect of Geographic Diversification of Firms on Hedging Activity Using Derivatives","year":2018,"lang":"en","type":"article","venue":"Journal of Derivatives and Quantitative Studies 선물연구","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Fund administration; Manager of managers fund; Open-end fund; Closed-end fund; Mutual fund; Fund of funds; Target date fund; Business; Income fund; Finance; Investment fund; Reputation; Index fund; Sovereign wealth fund; Pooling; Investment management; Feeder fund; Umbrella fund; Performance fee; Incentive; Microeconomics; Economics; Institutional investor; Profit (economics); Return on investment; Open-ended investment company; Corporate governance; Computer science","score_opus":0.12914808817400278,"score_gpt":0.33125699887748883,"score_spread":0.20210891070348605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085297482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981857,0.00038527968,0.00021003383,0.00008098329,0.0000026382509,0.000004784774,0.000043297034,0.000002769257,0.0010845488],"genre_scores_gemma":[0.99948186,0.00013563024,0.00007662509,0.000009982876,0.000005014179,0.0000011860731,0.000034686207,6.533597e-7,0.00025437292],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999495,0.00018488822,0.000033720036,0.00010333644,0.00009927585,0.00008378965],"domain_scores_gemma":[0.9883477,0.0060572214,0.0036346032,0.00058878155,0.0006175376,0.0007541246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010048945,0.00021127168,0.0002979025,0.00071253837,0.0003464912,0.001021856,0.00033642416,0.00046738883,0.0027261984],"category_scores_gemma":[0.006974352,0.00007636302,0.0004474617,0.00091592304,0.0004045773,0.00093511574,0.0005903336,0.00044115848,0.00018540668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036578052,0.0002587312,0.96460694,0.00007977546,0.00025120482,0.00074847793,0.00063222495,0.0030601174,0.0022622067,0.0015515538,0.00023599973,0.025946923],"study_design_scores_gemma":[0.000016630518,0.0004310069,0.9903172,0.000018042185,0.00021730481,0.0002488866,0.0013932333,0.0041072047,0.0012431544,0.0007636891,0.0012278853,0.000015635951],"about_ca_topic_score_codex":0.0047528986,"about_ca_topic_score_gemma":0.004167649,"teacher_disagreement_score":0.0047528986,"about_ca_system_score_codex":0.000602217,"about_ca_system_score_gemma":0.00034949224,"threshold_uncertainty_score":0.009450495},"labels":[],"label_agreement":null},{"id":"W3085651314","doi":"10.1108/jdqs-04-2018-b0004","title":"Market Liquidity and Momentum Profits : Evidence from the Korean Stock Market","year":2018,"lang":"en","type":"article","venue":"Journal of Derivatives and Quantitative Studies 선물연구","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Market liquidity; Economics; Momentum (technical analysis); Stock market; Financial economics; Monetary economics","score_opus":0.12327085487357843,"score_gpt":0.31441870292996815,"score_spread":0.19114784805638974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085651314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980513,0.00046937895,0.000068195666,0.0002148074,0.0000069969747,0.000006607056,0.00022955381,0.0000036318143,0.000949384],"genre_scores_gemma":[0.99904805,0.0003110756,0.000040046092,0.000031206342,0.000025157184,0.000002623312,0.00030819685,0.0000015604958,0.00023212105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997347,0.000037298254,0.000044272754,0.000052368727,0.00007589001,0.000055542972],"domain_scores_gemma":[0.99180835,0.0016105416,0.0048602982,0.00028839833,0.0005859196,0.0008464757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087298005,0.00026519134,0.0002834947,0.0013166072,0.00040848076,0.0011557807,0.0003437534,0.00054049306,0.0036048517],"category_scores_gemma":[0.0050672176,0.00016777156,0.0004324076,0.0011655721,0.00048528213,0.00149303,0.0007471591,0.0008357032,0.00042016807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041623574,0.0002571815,0.9885727,0.000064388405,0.0001565845,0.0005329758,0.00036750422,0.00030100276,0.000471004,0.00062786124,0.000552768,0.0076798713],"study_design_scores_gemma":[0.00003128955,0.00013125839,0.996979,0.000017408749,0.000104482184,0.00015655313,0.00061061024,0.00090556627,0.00020380577,0.00038891356,0.00045872355,0.00001232457],"about_ca_topic_score_codex":0.0060926084,"about_ca_topic_score_gemma":0.00625214,"teacher_disagreement_score":0.0060926084,"about_ca_system_score_codex":0.0003259774,"about_ca_system_score_gemma":0.00043955978,"threshold_uncertainty_score":0.012114286},"labels":[],"label_agreement":null},{"id":"W3085956393","doi":"10.1108/jdqs-02-2007-b0002","title":"Information Contents of Call-Put Options Trading Value Ratio","year":2007,"lang":"en","type":"article","venue":"Journal of Derivatives and Quantitative Studies 선물연구","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Pooling; Equity (law); Economics; Price discovery; Financial economics; Call option; Econometrics; Futures contract; Computer science","score_opus":0.09255822944028876,"score_gpt":0.3088051058973146,"score_spread":0.21624687645702584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085956393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94566315,0.0011646843,0.02914363,0.0006236839,0.00005978048,0.0000392121,0.0014211653,0.00023594487,0.021648806],"genre_scores_gemma":[0.9961999,0.00033053264,0.0011963538,0.000024701189,0.000039768394,0.0000118230755,0.00042973467,0.000016675338,0.0017505022],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956924,0.00006300464,0.000039034163,0.00007842505,0.00018216504,0.00006809607],"domain_scores_gemma":[0.9898644,0.0070783435,0.0014565876,0.0004232543,0.0009455855,0.00023179664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007033378,0.00031350166,0.00052876683,0.0014167082,0.00025743293,0.001768032,0.00048792872,0.0006736253,0.00720786],"category_scores_gemma":[0.01604047,0.0001994182,0.00024378332,0.0011062172,0.00038421073,0.0031691873,0.0005472262,0.0006327873,0.0010068226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037015143,0.000613795,0.18707521,0.0010468024,0.00036373956,0.0040625976,0.0015273853,0.11847914,0.100741014,0.26742348,0.0071830912,0.30778214],"study_design_scores_gemma":[0.00012863654,0.00050554913,0.24605344,0.00013430063,0.00040617093,0.001956331,0.000518801,0.51311713,0.038123805,0.1916978,0.0070246807,0.0003333299],"about_ca_topic_score_codex":0.0009554792,"about_ca_topic_score_gemma":0.00040052307,"teacher_disagreement_score":0.00720786,"about_ca_system_score_codex":0.00056750956,"about_ca_system_score_gemma":0.0003098864,"threshold_uncertainty_score":0.024112701},"labels":[],"label_agreement":null},{"id":"W3086409704","doi":"10.5267/j.ac.2020.8.026","title":"Investor sentiment by psychological line index and stock return","year":2020,"lang":"en","type":"article","venue":"Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Stock exchange; Financial economics; Ho chi minh; Stock market; Index (typography); Economics; Stock market index; Econometrics; Behavioral economics; Business; Monetary economics; Finance; Demographic economics; Computer science","score_opus":0.04855629388560923,"score_gpt":0.24254570158057157,"score_spread":0.19398940769496234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086409704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99925786,0.00005008938,0.000024828603,0.00002370997,0.0000028771633,0.0000025628904,0.000087052635,0.000001216699,0.0005498893],"genre_scores_gemma":[0.9994832,0.000042514137,0.000025293817,0.000008958115,0.000005745843,0.0000019115666,0.00016580096,4.379237e-7,0.00026609577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999019,0.000020748073,0.000010099004,0.000014049804,0.00003293988,0.00002028953],"domain_scores_gemma":[0.9988412,0.00018581585,0.0006645158,0.000028225024,0.00011500121,0.00016514357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021393181,0.00015939206,0.00011239068,0.00054265466,0.00014267108,0.00053330406,0.00008510512,0.0001861386,0.001444577],"category_scores_gemma":[0.0014022145,0.00006714947,0.00019673225,0.00052645925,0.0001296417,0.00025715743,0.00018774049,0.0002710856,0.00019429225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002507149,0.000027485901,0.99834335,0.000002666011,0.000017735587,0.000024358382,0.00003625576,0.000052689877,0.00015914287,0.000014865235,0.0000698906,0.0012264943],"study_design_scores_gemma":[6.199276e-7,0.000023109335,0.99944896,0.000001505902,0.000008416511,0.00002053678,0.00007721934,0.0002865024,0.00005451151,0.000010389427,0.00006687494,0.0000014766781],"about_ca_topic_score_codex":0.004415116,"about_ca_topic_score_gemma":0.0076597035,"teacher_disagreement_score":0.004415116,"about_ca_system_score_codex":0.00029764586,"about_ca_system_score_gemma":0.00012212206,"threshold_uncertainty_score":0.00877887},"labels":[],"label_agreement":null},{"id":"W3086461078","doi":"10.1108/jdqs-01-2006-b0004","title":"Arbitrage Profitability of the KOSPI200 Futures Spread","year":2006,"lang":"en","type":"article","venue":"Journal of Derivatives and Quantitative Studies 선물연구","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Arbitrage; Futures contract; Profitability index; Index arbitrage; Financial economics; Futures market; Risk arbitrage; Quarter (Canadian coin); Economics; Business; Econometrics; Arbitrage pricing theory; Finance; Geography; Capital asset pricing model","score_opus":0.04934314721814551,"score_gpt":0.2753818597282029,"score_spread":0.2260387125100574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086461078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984518,0.00011114032,0.00047849867,0.000038779745,0.0000017210793,0.0000033967801,0.000087476554,0.000008198697,0.00081895554],"genre_scores_gemma":[0.99944216,0.000037943042,0.00016870868,0.0000026159632,0.000004897607,0.000001568971,0.00019552546,0.0000019761794,0.0001446449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904984,0.00017221301,0.00010171368,0.00013605888,0.00044451884,0.00009567918],"domain_scores_gemma":[0.99206877,0.004221117,0.0024033845,0.0003759949,0.0007211725,0.00020956915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020026679,0.00021276479,0.00034404604,0.0014228671,0.00024433737,0.0009618721,0.00026627598,0.00036519728,0.0010778209],"category_scores_gemma":[0.013615096,0.000118721386,0.00025196056,0.0011710994,0.00034972554,0.0017610866,0.0005073676,0.0005274246,0.00017478899],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010005651,0.00020443487,0.8794078,0.00007770173,0.00016724742,0.0014361468,0.0006773621,0.032739352,0.009091502,0.0063417368,0.00097600906,0.06788013],"study_design_scores_gemma":[0.000022957374,0.00029854084,0.8642272,0.000014726302,0.000050072504,0.001008342,0.00037440198,0.12536623,0.0044825487,0.0029364654,0.001166435,0.00005212798],"about_ca_topic_score_codex":0.0020611736,"about_ca_topic_score_gemma":0.0015479693,"teacher_disagreement_score":0.0020611736,"about_ca_system_score_codex":0.0006024735,"about_ca_system_score_gemma":0.00028752766,"threshold_uncertainty_score":0.010591269},"labels":[],"label_agreement":null},{"id":"W3087316049","doi":"10.1002/cjas.64","title":"Why do companies issue convertible bond loans? An empirical analysis for the Canadian market","year":2008,"lang":"en","type":"preprint","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Convertible bond; Equity (law); Event study; Debt; Monetary economics; Business; Convertible; Agency cost; Economics; Financial economics; Financial system; Finance; Corporate governance; Shareholder","score_opus":0.16922884846474973,"score_gpt":0.32538940905395625,"score_spread":0.15616056058920652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087316049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834109,0.0012264595,0.00030402487,0.0017376997,0.000018671568,0.00009375845,0.003201094,0.00003072086,0.00997679],"genre_scores_gemma":[0.99207723,0.0006503601,0.00015711997,0.00013951997,0.000022696062,0.000017307486,0.0019527008,0.00001551048,0.004967626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986992,0.000102447695,0.00004122872,0.00015072573,0.0005479555,0.0004583661],"domain_scores_gemma":[0.9852614,0.004672592,0.0044276123,0.00042473612,0.0028377024,0.0023760868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016406383,0.0004919769,0.00081122597,0.0036259207,0.003671956,0.0039545153,0.0016634119,0.00096923154,0.01112034],"category_scores_gemma":[0.012173335,0.00034292694,0.00083966233,0.006507475,0.0015441152,0.0015130291,0.001140646,0.0018563546,0.0007441839],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005151629,0.00044286027,0.9458699,0.00018014484,0.00018677725,0.0009650181,0.0031561994,0.001922276,0.0005557186,0.010346258,0.015155525,0.020704174],"study_design_scores_gemma":[0.000070818794,0.000061529965,0.9707666,0.00006319404,0.00014945687,0.00015943928,0.0060377633,0.010267908,0.00030030738,0.00078907056,0.01125726,0.00007664483],"about_ca_topic_score_codex":0.9829118,"about_ca_topic_score_gemma":0.9847327,"teacher_disagreement_score":0.024766197,"about_ca_system_score_codex":0.024766197,"about_ca_system_score_gemma":0.022104342,"threshold_uncertainty_score":0.17969221},"labels":[],"label_agreement":null},{"id":"W3087892562","doi":"10.1108/jdqs-01-2002-b0001","title":"An Empirical Study on the Nonlinear Dynam Relationship between Spot and Futures Pri","year":2002,"lang":"en","type":"article","venue":"Journal of Derivatives and Quantitative Studies 선물연구","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Futures contract; Econometrics; Spot contract; Nonlinear system; Economics; Markov chain; Variance (accounting); Error correction model; Covariance; Covariance matrix; Hot spot (computer programming); Empirical research; Index (typography); Mathematics; Financial economics; Cointegration; Computer science; Statistics; Physics","score_opus":0.22900705123534776,"score_gpt":0.3648394929319833,"score_spread":0.13583244169663555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087892562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957813,0.00020500492,0.0010425057,0.00019791238,0.0000043521354,0.000005353805,0.00014452345,0.000003923309,0.0026150984],"genre_scores_gemma":[0.9983481,0.00018387732,0.00033569525,0.00001930151,0.000010804019,0.0000036588776,0.00030258362,0.000002506581,0.0007934396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965584,0.000121860765,0.000029382534,0.0000647147,0.000095744435,0.00003244243],"domain_scores_gemma":[0.9853254,0.010878005,0.0023874817,0.0004546091,0.00077589724,0.00017857732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015478639,0.000115658986,0.00016572577,0.00067614886,0.00025749698,0.0005767761,0.0001972751,0.00035090648,0.0030773513],"category_scores_gemma":[0.016700968,0.000111887355,0.00013390076,0.0014755279,0.0003560299,0.0013237162,0.00034196972,0.00056567375,0.00036121983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001529167,0.00022138805,0.95003957,0.00006852634,0.00006928995,0.000516626,0.0014742091,0.003299607,0.0012063902,0.008661702,0.0007139951,0.033575866],"study_design_scores_gemma":[0.000013419919,0.00014225577,0.964797,0.000037612295,0.000042444844,0.00067381526,0.0029383365,0.02109701,0.000951269,0.0038738833,0.005418522,0.000014381786],"about_ca_topic_score_codex":0.002487987,"about_ca_topic_score_gemma":0.003123561,"teacher_disagreement_score":0.0030773513,"about_ca_system_score_codex":0.00028113686,"about_ca_system_score_gemma":0.0002570346,"threshold_uncertainty_score":0.010294795},"labels":[],"label_agreement":null},{"id":"W3088637288","doi":"10.5430/ijfr.v11n5p191","title":"Capital Asset Pricing Model (CAPM) and the Douala Stock Exchange","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Stock exchange; Market portfolio; Financial economics; Portfolio; Economics; Market liquidity; Portfolio insurance; Stock market; Business; Econometrics; Replicating portfolio; Monetary economics; Finance; Portfolio optimization; Context (archaeology)","score_opus":0.1433949802318745,"score_gpt":0.33129875346328297,"score_spread":0.18790377323140847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088637288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71103895,0.010196454,0.20782684,0.006557422,0.00074743875,0.00022919451,0.0015976884,0.00053106126,0.06127498],"genre_scores_gemma":[0.9848223,0.0014626918,0.009331447,0.00013333972,0.00012977529,0.00008877005,0.00035805293,0.000017359285,0.003656351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99934334,0.00035914083,0.000019293757,0.000101906895,0.00010386243,0.000072423965],"domain_scores_gemma":[0.99805474,0.0013722858,0.00026391406,0.00007841525,0.00016653202,0.000064170454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017750916,0.0007568745,0.00054199866,0.0009941147,0.0003587274,0.0021773588,0.00072145514,0.00081969734,0.0017809853],"category_scores_gemma":[0.008470492,0.00019085701,0.0004232482,0.0011442297,0.0003811242,0.001310564,0.00056743546,0.00088746333,0.00037957085],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003845663,0.0002944892,0.11325279,0.00024201968,0.00033673426,0.0012531384,0.0003876,0.50075155,0.00064817973,0.24202928,0.012798734,0.12762095],"study_design_scores_gemma":[0.000029297073,0.00009302301,0.017198587,0.000060132093,0.00007394724,0.00031000248,0.00008654654,0.9246052,0.000181081,0.051315084,0.006019323,0.000027831713],"about_ca_topic_score_codex":0.008958493,"about_ca_topic_score_gemma":0.0036997665,"teacher_disagreement_score":0.008958493,"about_ca_system_score_codex":0.00093722576,"about_ca_system_score_gemma":0.0009306374,"threshold_uncertainty_score":0.01781267},"labels":[],"label_agreement":null},{"id":"W3088769111","doi":"10.1016/j.heliyon.2020.e04881","title":"Does style investing uniformly affect correlations in small and large markets?","year":2020,"lang":"en","type":"article","venue":"Heliyon","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Diversification (marketing strategy); Portfolio; Style (visual arts); Economics; Style investing; Financial economics; Investment style; Risk–return spectrum; Affect (linguistics); Style analysis; Correlation; Positive correlation; Empirical research; Econometrics; Business; Asset allocation; Microeconomics; Psychology; Marketing; Geography; Return on investment","score_opus":0.03344719310063383,"score_gpt":0.20923183862287048,"score_spread":0.17578464552223666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088769111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956899,0.00015519923,0.0012547346,0.00015504182,0.000008548544,0.000007539964,0.00004124389,0.000010128323,0.002677492],"genre_scores_gemma":[0.99953306,0.00004941581,0.00012813185,0.000019207362,0.000007720106,0.0000013764078,0.000016676859,0.0000021767794,0.00024219594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994974,0.00013234002,0.00003602925,0.00010057256,0.00010205196,0.00013159134],"domain_scores_gemma":[0.98555726,0.0049429103,0.0069599464,0.0009856393,0.00038315478,0.0011711624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019300451,0.00028976554,0.00042979378,0.00046789498,0.00020795505,0.001667672,0.0002404289,0.00056898734,0.003001107],"category_scores_gemma":[0.014295286,0.00017613175,0.00040612568,0.00038931094,0.00077329314,0.0014099423,0.0007656964,0.0006419154,0.00032550658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007774345,0.0002393339,0.9498717,0.00003823026,0.000260119,0.00056030316,0.00029617504,0.005755628,0.0062106675,0.006096409,0.0003774575,0.02951655],"study_design_scores_gemma":[0.000020191614,0.0002997643,0.9826528,0.0000109917555,0.00008043263,0.0002043977,0.00033329686,0.008308879,0.0016394359,0.0058118585,0.00061700575,0.000021078655],"about_ca_topic_score_codex":0.0011127277,"about_ca_topic_score_gemma":0.0010172776,"teacher_disagreement_score":0.003001107,"about_ca_system_score_codex":0.00045338925,"about_ca_system_score_gemma":0.0002879331,"threshold_uncertainty_score":0.010207176},"labels":[],"label_agreement":null},{"id":"W3089228611","doi":"10.1108/jdqs-02-2002-b0001","title":"Pricing KTB Futures: An Application of Black-Karasinski Model","year":2002,"lang":"en","type":"article","venue":"Journal of Derivatives and Quantitative Studies 선물연구","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Futures contract; Argument (complex analysis); Maturity (psychological); Financial economics; Economics; Futures market; Black market; Market economy; Chemistry","score_opus":0.100024619827453,"score_gpt":0.30394456091020816,"score_spread":0.20391994108275516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089228611","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09034479,0.0016694932,0.8651283,0.0020717068,0.00019078005,0.00006107987,0.00009989884,0.00018208005,0.040251903],"genre_scores_gemma":[0.90858006,0.0022513617,0.07148447,0.00021268315,0.00022254934,0.00008025671,0.00007170561,0.00007720937,0.01701958],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960047,0.00012271116,0.00001829391,0.00005785761,0.00015502027,0.000045560184],"domain_scores_gemma":[0.99930406,0.00036298714,0.000117819895,0.000050885188,0.00008995489,0.00007434544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010279136,0.0006136745,0.000931754,0.00075130496,0.00069904764,0.0013494433,0.0013608296,0.0016962603,0.0036534844],"category_scores_gemma":[0.0039939545,0.00040042953,0.0010185015,0.0010884233,0.0010069789,0.003609057,0.0011250656,0.0016550369,0.00048740412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058324527,0.00005485544,0.0008953026,0.00006617511,0.000030261655,0.00040818885,0.00021190419,0.30622366,0.0021625669,0.67245185,0.001583756,0.015853249],"study_design_scores_gemma":[0.000014424899,0.00001804607,0.00018819742,0.0000060240577,0.000009647904,0.000105926185,0.000019107498,0.8221754,0.00023026676,0.17577432,0.001437729,0.000020903626],"about_ca_topic_score_codex":0.0046618558,"about_ca_topic_score_gemma":0.0021289538,"teacher_disagreement_score":0.0046618558,"about_ca_system_score_codex":0.0010441412,"about_ca_system_score_gemma":0.0009987364,"threshold_uncertainty_score":0.012222171},"labels":[],"label_agreement":null},{"id":"W3090084619","doi":"10.46281/ijafr.v5i2.789","title":"Investors' Trading, Market Timing, and Implementation Shortfall: Evidence from the US Financial Market","year":2020,"lang":"en","type":"article","venue":"International Journal of Accounting & Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Expected shortfall; Business; Stock (firearms); Quarter (Canadian coin); Financial market; Stock market; Economics; Financial economics; Monetary economics; Finance; Risk management","score_opus":0.0572680871052842,"score_gpt":0.2910402100446233,"score_spread":0.23377212293933913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090084619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99840635,0.00023705419,0.000096619086,0.00014969152,0.0000054448174,0.000005850357,0.00010234306,0.0000032274063,0.0009933024],"genre_scores_gemma":[0.9992649,0.00023286883,0.000092652845,0.000056424487,0.000017627628,0.0000027558606,0.00019989726,0.0000016708619,0.00013115523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995577,0.00010297605,0.00006803115,0.000046957724,0.00016226509,0.00006203932],"domain_scores_gemma":[0.9819374,0.0048759175,0.011290415,0.0004578714,0.0006605599,0.0007778093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012770364,0.00019081062,0.00032073952,0.0008192089,0.0003223151,0.0012374859,0.00023433972,0.00062529003,0.0018249769],"category_scores_gemma":[0.009361243,0.00014677279,0.00028150217,0.0013034343,0.00040716148,0.0010254283,0.0004998866,0.0006945772,0.00025131856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027338977,0.000154936,0.990978,0.000021052525,0.00007456831,0.00012926044,0.00016981212,0.0001614759,0.0004662129,0.00021120545,0.00019407345,0.0071660033],"study_design_scores_gemma":[0.000010298645,0.00012547741,0.99827385,0.000006693121,0.000031866784,0.000080492246,0.00025977366,0.00048677222,0.00017833257,0.00018278004,0.00035711422,0.0000064703772],"about_ca_topic_score_codex":0.0048404043,"about_ca_topic_score_gemma":0.008343377,"teacher_disagreement_score":0.0048404043,"about_ca_system_score_codex":0.00028159207,"about_ca_system_score_gemma":0.00033342052,"threshold_uncertainty_score":0.009624481},"labels":[],"label_agreement":null},{"id":"W3090140543","doi":"","title":"Hyperbolic or exponential time discounting function? Empirical est using a conditional Consumption Capital Asset Pricing Model","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Capital asset pricing model; Economics; Exponential function; Econometrics; Consumption (sociology); Consumption-based capital asset pricing model; Discounting; Asset (computer security); Time preference; Mathematics; Financial economics; Mathematical economics; Microeconomics; Computer science; Finance; Mathematical analysis; Sociology","score_opus":0.06677945841402454,"score_gpt":0.2560532452865565,"score_spread":0.18927378687253194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090140543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6989847,0.0024914222,0.29003742,0.0014236578,0.00008855142,0.000108696484,0.0007115025,0.0001663206,0.0059877904],"genre_scores_gemma":[0.98734146,0.0009135809,0.00887723,0.000108087384,0.00005348377,0.000024449366,0.0004610864,0.000029188312,0.0021914714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921894,0.00035178236,0.000048325648,0.00019212307,0.00008712133,0.00010175186],"domain_scores_gemma":[0.9848204,0.011510834,0.0017709926,0.0010033088,0.00048926636,0.00040511967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007560396,0.0006335181,0.0010875122,0.00098662,0.0003090665,0.0023656974,0.0019371316,0.001178457,0.00461356],"category_scores_gemma":[0.030362174,0.00043935684,0.0011817096,0.0014959915,0.0012650298,0.0033435312,0.00093681156,0.0023823404,0.00041222022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050191605,0.00025995454,0.119362175,0.0004671063,0.00052989525,0.0010297907,0.0013208167,0.21084124,0.0014262698,0.60188997,0.003754769,0.058616076],"study_design_scores_gemma":[0.00005089267,0.000079725665,0.018537905,0.00008410027,0.00014546086,0.00024962254,0.0003352115,0.82234097,0.00040130375,0.1555323,0.002167711,0.00007480232],"about_ca_topic_score_codex":0.0121397115,"about_ca_topic_score_gemma":0.0038094402,"teacher_disagreement_score":0.0121397115,"about_ca_system_score_codex":0.0010382453,"about_ca_system_score_gemma":0.000617957,"threshold_uncertainty_score":0.03998369},"labels":[],"label_agreement":null},{"id":"W3090298647","doi":"10.1080/23322039.2020.1824362","title":"Does option trading affect idiosyncratic momentum?","year":2020,"lang":"en","type":"article","venue":"Cogent Economics & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Momentum (technical analysis); Economics; Financial economics; Systematic risk; Econometrics","score_opus":0.03425631514994676,"score_gpt":0.2060832198215029,"score_spread":0.17182690467155615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090298647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972326,0.00013384465,0.00071293226,0.000122059195,0.000006568121,0.0000047819744,0.00003745425,0.000010033993,0.0017397583],"genre_scores_gemma":[0.9995272,0.00005183569,0.00007405827,0.000015092357,0.000006715164,9.4011017e-7,0.000022625412,0.0000021526296,0.00029944215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977773,0.000053222804,0.000021542935,0.000046090725,0.000039360526,0.00006203693],"domain_scores_gemma":[0.9950653,0.0019880729,0.002048968,0.000321082,0.00021050265,0.0003660893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077300175,0.00018223085,0.00026759735,0.00043922305,0.00014724491,0.0014015844,0.00019906844,0.00069453014,0.0027037722],"category_scores_gemma":[0.0072988416,0.00012304795,0.00024214486,0.00044807332,0.0003818037,0.0014909052,0.00043017208,0.00045707816,0.00030946956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057980744,0.0003053844,0.94022834,0.000041226183,0.00017279793,0.0010465607,0.00034281827,0.0046157558,0.012261566,0.0038164079,0.00023269406,0.036356613],"study_design_scores_gemma":[0.000015003399,0.00022465806,0.98590046,0.0000105606905,0.000049972907,0.0002587409,0.0002564303,0.0077127037,0.0013279213,0.0038665358,0.0003624188,0.000014524829],"about_ca_topic_score_codex":0.0010822631,"about_ca_topic_score_gemma":0.0010195854,"teacher_disagreement_score":0.0027037722,"about_ca_system_score_codex":0.00020257765,"about_ca_system_score_gemma":0.00017515219,"threshold_uncertainty_score":0.009045064},"labels":[],"label_agreement":null},{"id":"W3090531278","doi":"10.3390/jrfm13100232","title":"Investor Overconfidence and Trading Activity in the Asia Pacific REIT Markets","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; National Natural Science Foundation of China","keywords":"Overconfidence effect; Real estate investment trust; Real estate; Boom; Financial market; Financial economics; Economics; Stock (firearms); Investment (military); Stock market; Monetary economics; Business; Finance","score_opus":0.025287377986257246,"score_gpt":0.2014784160717442,"score_spread":0.17619103808548695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090531278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99908483,0.000058347494,0.000075567914,0.000047012116,0.0000016919399,0.000002085019,0.000016591237,0.0000011818821,0.0007126384],"genre_scores_gemma":[0.99978393,0.000038896636,0.00002221662,0.0000058333417,0.000003101517,8.800026e-7,0.00002133872,5.8851487e-7,0.00012317809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996897,0.0000807064,0.00003362146,0.000040384868,0.000080762766,0.0000747808],"domain_scores_gemma":[0.9919608,0.00251252,0.0041537075,0.00027336122,0.00031689412,0.000782733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011283815,0.00019752467,0.00027224649,0.0007315299,0.0003365236,0.0015938933,0.0002565232,0.00037276951,0.0018962548],"category_scores_gemma":[0.0067145214,0.00012967398,0.00025611336,0.00087647146,0.000523904,0.0013131672,0.0007289269,0.00089556276,0.00013067755],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012490725,0.00012212634,0.9929201,0.000007846164,0.00006877558,0.0004254688,0.0004759559,0.0009540903,0.00020052158,0.000649383,0.00013323723,0.0039176065],"study_design_scores_gemma":[0.000009036595,0.00009027813,0.9865371,0.000010618871,0.00004348114,0.000258969,0.0012959098,0.010277989,0.00023985848,0.00095610094,0.00026894535,0.000011747127],"about_ca_topic_score_codex":0.0072153634,"about_ca_topic_score_gemma":0.00599851,"teacher_disagreement_score":0.0072153634,"about_ca_system_score_codex":0.00041843473,"about_ca_system_score_gemma":0.00029428242,"threshold_uncertainty_score":0.014346719},"labels":[],"label_agreement":null},{"id":"W3091547060","doi":"10.1109/emr.2020.3027189","title":"Stock Market Reaction to Chief Data or Digital Officers Appointments","year":2020,"lang":"en","type":"article","venue":"IEEE Engineering Management Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Natural Science Foundation of China","keywords":"Officer; Chief executive officer; Ask price; Business; Stock market; Value (mathematics); Stock (firearms); Big data; Marketing; Accounting; Public relations; Finance; Management; Economics; Law; Engineering; Computer science","score_opus":0.0694610137980492,"score_gpt":0.2385155974205826,"score_spread":0.1690545836225334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091547060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734273,0.0016406332,0.0003347648,0.0027832426,0.0002610704,0.00006625155,0.00042640037,0.000025752768,0.021034576],"genre_scores_gemma":[0.9942367,0.0007466883,0.00009092496,0.0005981227,0.000247735,0.000017068902,0.0003288585,0.000004588665,0.0037293471],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904746,0.00021766391,0.00008622993,0.00008329667,0.0004498968,0.000115392024],"domain_scores_gemma":[0.9813214,0.0051767505,0.009169279,0.00031571847,0.0028419867,0.0011747952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025071201,0.00017294912,0.0003674792,0.0006122307,0.00018871213,0.0013810055,0.000207566,0.0008138725,0.0055762115],"category_scores_gemma":[0.014954248,0.000069235626,0.0002815674,0.00054976705,0.00024002555,0.00060958404,0.00033774285,0.0008776706,0.00091646693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002187076,0.00075908244,0.85041314,0.0004749238,0.00041269494,0.00077755057,0.0007728318,0.0020754011,0.007027459,0.0042174445,0.021613484,0.109269],"study_design_scores_gemma":[0.00006836485,0.0011662928,0.97950935,0.00005957295,0.00015596663,0.00019053201,0.0009148206,0.0019085965,0.0021101842,0.0011396082,0.012728304,0.000048390357],"about_ca_topic_score_codex":0.0020916099,"about_ca_topic_score_gemma":0.0023002678,"teacher_disagreement_score":0.0055762115,"about_ca_system_score_codex":0.00057961006,"about_ca_system_score_gemma":0.00029981523,"threshold_uncertainty_score":0.018654346},"labels":[],"label_agreement":null},{"id":"W3091829552","doi":"10.15353/rea.v13i1.1799","title":"Efficient Markets Hypothesis in the time of COVID-19.","year":2021,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Irrational number; Economics; Stock market index; Financial market; Financial economics; Coronavirus disease 2019 (COVID-19); Order (exchange); Rational expectations; Capital asset pricing model; Econometrics; Index (typography); Efficient-market hypothesis; Market depth; Finance; Computer science; Mathematics","score_opus":0.036542164296220134,"score_gpt":0.2511813985599556,"score_spread":0.21463923426373543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091829552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7642267,0.0035678525,0.11463897,0.018491717,0.00065980264,0.00028188032,0.0011140112,0.00024599102,0.0967732],"genre_scores_gemma":[0.9920586,0.00038127042,0.0028477255,0.0005174454,0.00024120552,0.00008764968,0.00013854913,0.000015965252,0.0037116273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991923,0.00012494346,0.000045514145,0.00028131186,0.00017984274,0.00017605523],"domain_scores_gemma":[0.9934969,0.0024957445,0.0027555672,0.00044183145,0.0004498385,0.00036009372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027906068,0.00027196578,0.00058373256,0.0008673634,0.0006069445,0.002452026,0.00082573347,0.002059015,0.0066579636],"category_scores_gemma":[0.012503621,0.0002456902,0.000626091,0.0005130018,0.0026643393,0.004696243,0.001103815,0.0019597365,0.00065187895],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020992076,0.00013274608,0.029695466,0.0001853792,0.00014497405,0.001382911,0.00086905784,0.006132801,0.0021035494,0.9307827,0.005296636,0.023064073],"study_design_scores_gemma":[0.00019408113,0.0004708368,0.089061335,0.00017063333,0.00010720713,0.0012900997,0.0012939379,0.04714123,0.002543119,0.8324171,0.025217306,0.000093051814],"about_ca_topic_score_codex":0.0011623052,"about_ca_topic_score_gemma":0.0006794669,"teacher_disagreement_score":0.0066579636,"about_ca_system_score_codex":0.00090516836,"about_ca_system_score_gemma":0.0006193249,"threshold_uncertainty_score":0.022273064},"labels":[],"label_agreement":null},{"id":"W3091830451","doi":"10.5430/ijfr.v11n5p205","title":"What Can Machine Learning Tell Us About Intraday Price Patterns in a Frontier Stock Market?","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Frontier; Spillover effect; Stock market; Financial economics; Irrational number; Stock (firearms); Econometrics; Economics; Business; Microeconomics; Geography","score_opus":0.06559672665843824,"score_gpt":0.30298303686758504,"score_spread":0.2373863102091468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091830451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83227706,0.026741281,0.08784946,0.024074016,0.0005718339,0.00007770498,0.0066274176,0.00063094316,0.021150272],"genre_scores_gemma":[0.97860545,0.0051728366,0.011137629,0.00104793,0.000726603,0.00002560427,0.0021295494,0.000056166995,0.0010983605],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909186,0.0003622256,0.00008161942,0.0002074053,0.00016468341,0.00009225145],"domain_scores_gemma":[0.98429745,0.011336304,0.0017329317,0.0013913944,0.00092566974,0.00031623503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039620087,0.00084033585,0.0012009386,0.0035011806,0.0004830863,0.00401387,0.00086442864,0.0020261393,0.0036533668],"category_scores_gemma":[0.024715567,0.0003609868,0.0010642998,0.0027589945,0.0010945597,0.009672034,0.0008046941,0.002269812,0.0017872857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007444675,0.00041938765,0.5802674,0.0006965433,0.0012124198,0.000396899,0.0008148003,0.034274593,0.0023020767,0.009678351,0.010637479,0.3585556],"study_design_scores_gemma":[0.000084589665,0.00039780166,0.5323168,0.0009406115,0.0004465374,0.00073049933,0.0029106278,0.26903504,0.0022535613,0.1754698,0.015173471,0.00024065569],"about_ca_topic_score_codex":0.0023767666,"about_ca_topic_score_gemma":0.0018205479,"teacher_disagreement_score":0.00401387,"about_ca_system_score_codex":0.00043937232,"about_ca_system_score_gemma":0.0003439711,"threshold_uncertainty_score":0.020953357},"labels":[],"label_agreement":null},{"id":"W3092240174","doi":"10.5430/ijfr.v11n5p527","title":"Do Mutual Fund Managers Time Market Sentiment?","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Market timing; Volatility (finance); Portfolio; Market sentiment; Market liquidity; Business; Equity (law); Index fund; Monetary economics; Finance; Economics; Open-end fund; Institutional investor","score_opus":0.12335256635756976,"score_gpt":0.334350841128212,"score_spread":0.21099827477064226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092240174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99694496,0.00016825795,0.00008790928,0.00043600023,0.000009429611,0.0000036823076,0.00009924331,0.0000037443072,0.0022467654],"genre_scores_gemma":[0.9994185,0.00008678791,0.00003060412,0.00005982763,0.000022436518,0.0000023310483,0.00005564426,5.9888083e-7,0.00032334187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997131,0.00007378482,0.000027625014,0.000042215852,0.000075784956,0.00006742235],"domain_scores_gemma":[0.9944126,0.0006049115,0.004130626,0.00014085064,0.00024498437,0.00046602925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008872506,0.00013804187,0.00017730384,0.00049484585,0.00018638528,0.00086069526,0.00013467224,0.00037732036,0.0019486822],"category_scores_gemma":[0.005667615,0.00007738571,0.000109970584,0.00041752346,0.00021691415,0.00077528344,0.00033886795,0.00024772531,0.0002710551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068969144,0.000030063049,0.98540825,0.000014439439,0.00003764747,0.000061356,0.00079527084,0.000084078725,0.000347884,0.0004137979,0.0007628439,0.011975364],"study_design_scores_gemma":[0.000004650773,0.00004497938,0.99696773,0.0000073125766,0.00001679337,0.000053654952,0.00081142643,0.00042549512,0.0001484854,0.0003059292,0.0012076154,0.0000059552176],"about_ca_topic_score_codex":0.0028977164,"about_ca_topic_score_gemma":0.004440624,"teacher_disagreement_score":0.0028977164,"about_ca_system_score_codex":0.00036944926,"about_ca_system_score_gemma":0.00019644358,"threshold_uncertainty_score":0.0065190196},"labels":[],"label_agreement":null},{"id":"W3092258995","doi":"10.1080/21697213.2020.1813970","title":"Can individual investors identify economic links? Evidence from initial quarterly earnings announcements within industries","year":2020,"lang":"en","type":"article","venue":"China Journal of Accounting Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Exploit; Business; China; Monetary economics; Quarter (Canadian coin); Rationality; Economics; Finance","score_opus":0.10420537902799368,"score_gpt":0.2921540899450664,"score_spread":0.18794871091707274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092258995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986212,0.000089559355,0.00005991992,0.00009251055,0.000002226953,0.000005090643,0.00011762255,0.0000022459503,0.0010096291],"genre_scores_gemma":[0.99954766,0.00006256034,0.000030310366,0.000013538994,0.0000066428534,0.0000023509322,0.00013122348,5.1476883e-7,0.0002051128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932265,0.00012016837,0.00008334647,0.00015788818,0.00015839536,0.00015746878],"domain_scores_gemma":[0.9878879,0.0028963382,0.0065176846,0.00077387824,0.0009319374,0.0009921511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014578272,0.00016407184,0.00027585003,0.0018812491,0.00044415548,0.0011452254,0.00036047422,0.00061092875,0.0022528868],"category_scores_gemma":[0.008187817,0.00017801466,0.00018136257,0.0017120196,0.00042617577,0.0014968015,0.0010928327,0.0003497012,0.0002973231],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004096932,0.000024534927,0.9930566,0.000010379739,0.000029546662,0.00010941116,0.00076557667,0.00009144897,0.00016209275,0.0001347609,0.00012868961,0.005446079],"study_design_scores_gemma":[0.0000043305386,0.000028191436,0.99771166,0.0000059710223,0.000026838447,0.000035518595,0.0008868888,0.0005552108,0.00014436115,0.00013711273,0.00045842782,0.000005477714],"about_ca_topic_score_codex":0.019357812,"about_ca_topic_score_gemma":0.019969976,"teacher_disagreement_score":0.019357812,"about_ca_system_score_codex":0.0004278522,"about_ca_system_score_gemma":0.00036098596,"threshold_uncertainty_score":0.038490236},"labels":[],"label_agreement":null},{"id":"W3092700458","doi":"10.2139/ssrn.3651339","title":"Liquidity Picking and Fund Performance","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Lethbridge","funders":"","keywords":"Market liquidity; Business; Financial system; Monetary economics; Finance; Economics","score_opus":0.04140358562781618,"score_gpt":0.20858880712780936,"score_spread":0.16718522149999318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092700458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99442935,0.00042908793,0.0003023425,0.00032676334,0.000016640462,0.000006502525,0.000075532145,0.00002535399,0.004388408],"genre_scores_gemma":[0.99835557,0.00005234818,0.00008794589,0.000026598838,0.000022891394,0.0000020639463,0.000040260493,0.0000051080237,0.0014072134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993923,0.00018499461,0.00005630847,0.00007350834,0.00010965158,0.00018329396],"domain_scores_gemma":[0.9863202,0.0052984064,0.005095984,0.00046166452,0.0005882392,0.0022355602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023096027,0.00032107177,0.00033537266,0.0012805766,0.0008254459,0.0042554215,0.00030401535,0.0013058243,0.010365642],"category_scores_gemma":[0.016605048,0.0002276351,0.0002808633,0.0008095047,0.000611857,0.0017094493,0.0010842346,0.0011317283,0.001976915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009220544,0.0016245601,0.8690621,0.00012143953,0.00046884458,0.0015878795,0.001130333,0.010080911,0.011378335,0.014204654,0.0034851688,0.07763509],"study_design_scores_gemma":[0.00029052203,0.0014509322,0.9423151,0.00008175692,0.0003152712,0.00095615105,0.0021041413,0.011451306,0.0043182126,0.033803668,0.0027955957,0.00011738867],"about_ca_topic_score_codex":0.00083013874,"about_ca_topic_score_gemma":0.0010669027,"teacher_disagreement_score":0.010365642,"about_ca_system_score_codex":0.00060877734,"about_ca_system_score_gemma":0.00038093803,"threshold_uncertainty_score":0.034676492},"labels":[],"label_agreement":null},{"id":"W3093163724","doi":"10.5539/ijef.v12n11p21","title":"True Expense Ratio and True Alpha of Imperfect Diversification: Evidence from Stock Market in Bangladesh","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sharpe ratio; Diversification (marketing strategy); Volatility (finance); Economics; Portfolio; Treynor ratio; Financial economics; Econometrics; Imperfect; Mutual fund; Monetary economics; Business; Finance","score_opus":0.0436770268193614,"score_gpt":0.2301758311048612,"score_spread":0.1864988042854998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093163724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99785775,0.00019203124,0.00006194332,0.00011079384,0.0000013358425,0.000004339798,0.0004150775,0.0000016182452,0.0013551469],"genre_scores_gemma":[0.99945146,0.00011449688,0.000028534738,0.000009554704,0.00000252821,0.0000015175576,0.0002565368,5.57994e-7,0.00013474892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994004,0.00013906056,0.000101365826,0.000097331984,0.00018988992,0.00007195767],"domain_scores_gemma":[0.99166095,0.0027582464,0.003959981,0.0004695505,0.0007889939,0.00036233128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009347359,0.00018102965,0.00024608008,0.0014515497,0.00031723556,0.0010007814,0.0003366261,0.00041485458,0.0012671617],"category_scores_gemma":[0.0069089467,0.00016849619,0.00025609432,0.0019500692,0.0006205903,0.0010100849,0.0006267901,0.0005121827,0.000300883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105691244,0.000021833803,0.9946175,0.00002353958,0.0000601885,0.00020461153,0.0004895664,0.00024960196,0.0002818949,0.0004206405,0.00021202036,0.0033128674],"study_design_scores_gemma":[0.000008443083,0.00004941666,0.9966974,0.00001399012,0.000039650902,0.00016344765,0.0009906607,0.0008875108,0.00031874274,0.00022194201,0.00059718627,0.000011684636],"about_ca_topic_score_codex":0.023688251,"about_ca_topic_score_gemma":0.025332412,"teacher_disagreement_score":0.023688251,"about_ca_system_score_codex":0.0007962309,"about_ca_system_score_gemma":0.0003638959,"threshold_uncertainty_score":0.047100723},"labels":[],"label_agreement":null},{"id":"W3093175549","doi":"10.1016/j.intfin.2020.101258","title":"An explanation for momentum with a rational model under symmetric information – Evidence from cross country equity markets","year":2020,"lang":"en","type":"article","venue":"Journal of International Financial Markets Institutions and Money","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Economics; Skewness; Financial economics; Momentum (technical analysis); Capital asset pricing model; Equity (law); Econometrics; Rational expectations; Risk aversion (psychology); Incentive; Risk–return spectrum; Microeconomics; Expected utility hypothesis; Portfolio","score_opus":0.06656913320766396,"score_gpt":0.29156546855726856,"score_spread":0.22499633534960461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093175549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8588349,0.0016177783,0.072925575,0.015856482,0.00029857588,0.0001295861,0.0008976026,0.0005693915,0.04887013],"genre_scores_gemma":[0.9952075,0.00026000346,0.0017399846,0.00028853797,0.0001268222,0.0000105287645,0.0001293893,0.0000354802,0.0022018375],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925464,0.00018078758,0.00007517046,0.00019531678,0.00012855667,0.00016554141],"domain_scores_gemma":[0.97733945,0.012851852,0.004994689,0.0029285357,0.0011575688,0.00072787015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039161514,0.0005091764,0.0012844299,0.00086743943,0.00085078744,0.0045027826,0.001795021,0.003873486,0.018271042],"category_scores_gemma":[0.025287759,0.00080384465,0.0012027262,0.000753299,0.0025521077,0.009085655,0.0013927255,0.002471426,0.0013436615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012862124,0.00038457,0.029658541,0.00027226168,0.00035221485,0.0015415262,0.0010031051,0.05525867,0.0014591523,0.86597365,0.012077853,0.030732213],"study_design_scores_gemma":[0.0005485326,0.00011114058,0.009609798,0.000037223563,0.00014236913,0.00024737554,0.00040755572,0.122392856,0.00043898806,0.86377615,0.0022186502,0.00006938861],"about_ca_topic_score_codex":0.0069654942,"about_ca_topic_score_gemma":0.0026960468,"teacher_disagreement_score":0.018271042,"about_ca_system_score_codex":0.0010169244,"about_ca_system_score_gemma":0.001124564,"threshold_uncertainty_score":0.061122656},"labels":[],"label_agreement":null},{"id":"W3093448309","doi":"10.2139/ssrn.3571998","title":"Are Cryptocurrencies Priced in the Cross-section? A Portfolio Approach","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cryptocurrency; Section (typography); Portfolio; Portfolio investment; Financial economics; Business; Computer science; Economics; Computer security; Advertising","score_opus":0.03932617346256465,"score_gpt":0.23764364370429097,"score_spread":0.19831747024172633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093448309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50094104,0.011241731,0.4057829,0.012121564,0.0006219593,0.00013820663,0.000658342,0.00031831226,0.06817594],"genre_scores_gemma":[0.97127175,0.003964969,0.006377833,0.0003294759,0.00070664985,0.000047544152,0.00016791801,0.00004708171,0.017086776],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986015,0.00044384564,0.000088980385,0.0003192216,0.00029970886,0.00024673017],"domain_scores_gemma":[0.9820446,0.011593801,0.0030282363,0.001489316,0.0011073633,0.0007366942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004404713,0.00095947034,0.0020245383,0.003408455,0.00079042953,0.0071753296,0.002309441,0.0028835959,0.014097427],"category_scores_gemma":[0.037191793,0.00081856013,0.0009935838,0.0033027173,0.0026428076,0.015436527,0.0019239187,0.0031815202,0.0010230786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015545238,0.000092178496,0.018725082,0.00012269661,0.00037441647,0.00052815233,0.00022989255,0.016884716,0.0006473135,0.90163505,0.0024466694,0.058158312],"study_design_scores_gemma":[0.00004131582,0.0001092954,0.010523284,0.000092177026,0.00017267856,0.00052700687,0.0002815943,0.10519595,0.00070120004,0.87850493,0.0037957032,0.000054871398],"about_ca_topic_score_codex":0.0015839278,"about_ca_topic_score_gemma":0.0011239027,"teacher_disagreement_score":0.014097427,"about_ca_system_score_codex":0.0013269521,"about_ca_system_score_gemma":0.0005628499,"threshold_uncertainty_score":0.047160566},"labels":[],"label_agreement":null},{"id":"W3093913451","doi":"10.5539/ibr.v13n11p65","title":"Behavioural Finance and Investment Decisions: Does Behavioral Bias Matter?","year":2020,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Overconfidence effect; Regret; Investment (military); Optimism bias; Behavioral economics; Economics; Context (archaeology); Investment decisions; Perspective (graphical); Nexus (standard); Cognitive bias; Confirmation bias; Actuarial science; Econometrics; Psychology; Microeconomics; Optimism; Social psychology; Statistics; Cognition; Computer science","score_opus":0.2614688733059384,"score_gpt":0.3520475562595041,"score_spread":0.09057868295356575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093913451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99386966,0.00044276507,0.0011658149,0.0007750434,0.000013395298,0.000014305299,0.0001327557,0.0000037822147,0.0035825719],"genre_scores_gemma":[0.9992969,0.00015839173,0.00019295666,0.00006783818,0.000010039768,0.0000039783463,0.000050132247,0.0000010903965,0.00021858454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987839,0.00061316416,0.00008259962,0.00010451084,0.00021498578,0.00020076771],"domain_scores_gemma":[0.9682322,0.018771566,0.01022438,0.0008210436,0.0008248638,0.0011260513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003089006,0.00019354395,0.00032412887,0.00058267283,0.00019354191,0.0013742057,0.00018073282,0.0005239455,0.0023605195],"category_scores_gemma":[0.01941943,0.000104364684,0.00032521904,0.00074040296,0.0007276072,0.00086387905,0.00046586874,0.0008990022,0.00023427584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011162641,0.000087195534,0.9872018,0.000027503207,0.00012376982,0.000058131915,0.0002502695,0.00074736524,0.0001511383,0.0017427114,0.0000964851,0.009401887],"study_design_scores_gemma":[0.000007946663,0.00013821878,0.99163836,0.000034100343,0.00005650766,0.000066624474,0.00064597506,0.0025326714,0.0002190971,0.0039382246,0.00070875976,0.000013331198],"about_ca_topic_score_codex":0.0031256715,"about_ca_topic_score_gemma":0.0036897403,"teacher_disagreement_score":0.0031256715,"about_ca_system_score_codex":0.0004195451,"about_ca_system_score_gemma":0.00050325354,"threshold_uncertainty_score":0.016336441},"labels":[],"label_agreement":null},{"id":"W3094747150","doi":"10.5430/jbar.v9n2p29","title":"The Linkage between Sentiments and Stock Market Dynamics New Evidence from Iran","year":2020,"lang":"en","type":"article","venue":"Journal of Business Administration Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Stock (firearms); Economics; Financial economics; Monetary economics; Business","score_opus":0.2161279537602938,"score_gpt":0.34220820414597947,"score_spread":0.12608025038568565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094747150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826051,0.0027027435,0.0002890767,0.0012499368,0.00004227574,0.000011374455,0.00043882054,0.000008221132,0.012652358],"genre_scores_gemma":[0.99726886,0.0017168893,0.0001351254,0.000111880894,0.000105266685,0.0000025605393,0.00026506247,0.0000026933417,0.00039175936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977285,0.000042178053,0.000025525986,0.000034630917,0.00009304866,0.000031808828],"domain_scores_gemma":[0.9969021,0.00089106243,0.0012148713,0.00013700659,0.00070524984,0.0001497435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000950543,0.0001836236,0.00018675388,0.0012470293,0.00022892994,0.0007237821,0.00015443182,0.00015734983,0.002455996],"category_scores_gemma":[0.0039653764,0.00008682293,0.0002939717,0.0013572023,0.0004355494,0.00054172805,0.0003073077,0.00036335102,0.00023325236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001365419,0.000059237238,0.945223,0.00024295397,0.00014584379,0.00025685687,0.002232487,0.00021979415,0.00076605263,0.0019444225,0.0023245907,0.04644817],"study_design_scores_gemma":[0.0000041981343,0.000022775468,0.9957638,0.0000334893,0.00004355412,0.00005664255,0.0009666835,0.00018275811,0.000105223655,0.00026729028,0.0025492068,0.0000042885395],"about_ca_topic_score_codex":0.012369312,"about_ca_topic_score_gemma":0.01300209,"teacher_disagreement_score":0.012369312,"about_ca_system_score_codex":0.00033725394,"about_ca_system_score_gemma":0.00047457195,"threshold_uncertainty_score":0.024594605},"labels":[],"label_agreement":null},{"id":"W3094974274","doi":"10.1017/asb.2020.37","title":"A MIXED BOND AND EQUITY FUND MODEL FOR THE VALUATION OF VARIABLE ANNUITIES","year":2020,"lang":"en","type":"article","venue":"Astin Bulletin","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Actua; Université Laval; Concordia University; Université de Montréal","funders":"","keywords":"Bond; Economics; Portfolio; Equity (law); Valuation (finance); Target date fund; Mutual fund; Fixed income; Yield curve; Actuarial science; Equity risk; Risk–return spectrum; Capital asset pricing model; Financial economics; Econometrics; Finance; Open-end fund; Institutional investor","score_opus":0.1949066016800231,"score_gpt":0.25394954823643506,"score_spread":0.05904294655641196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094974274","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29715347,0.0033599637,0.6451362,0.0045870063,0.00028161015,0.00018772301,0.0011119086,0.00024559264,0.04793646],"genre_scores_gemma":[0.9522065,0.0008975344,0.015398464,0.00010717241,0.00011765492,0.00016667557,0.00026879262,0.000058541107,0.030778702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992538,0.00037881878,0.000031075106,0.00011753835,0.000093484356,0.00012517167],"domain_scores_gemma":[0.99825543,0.0009340013,0.0002519383,0.00007084646,0.0001863157,0.00030139493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026103053,0.0011466115,0.0014153927,0.0012328993,0.0006444099,0.003954425,0.0030229061,0.003796924,0.008532289],"category_scores_gemma":[0.0057774163,0.0007799682,0.0013246041,0.0011246658,0.0014206608,0.0036879105,0.0014199006,0.0026960673,0.00073480775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009370035,0.00007508777,0.0015551518,0.00004848979,0.000041729476,0.00040393192,0.00012636013,0.5938466,0.0007974125,0.39766234,0.0015477355,0.003801388],"study_design_scores_gemma":[0.000018838935,0.00002268551,0.00018441069,0.000009626668,0.000010019282,0.000042433636,0.000027962256,0.9729011,0.000040572133,0.026127098,0.0006030021,0.000012319955],"about_ca_topic_score_codex":0.012929695,"about_ca_topic_score_gemma":0.006171021,"teacher_disagreement_score":0.012929695,"about_ca_system_score_codex":0.002426748,"about_ca_system_score_gemma":0.0014037343,"threshold_uncertainty_score":0.028543353},"labels":[],"label_agreement":null},{"id":"W3095070597","doi":"10.1080/00036846.2021.1940082","title":"Realized Volatility, Jump and Beta: evidence from Canadian Stock Market","year":2021,"lang":"en","type":"article","venue":"Applied Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Jump; Economics; Portfolio; Volatility (finance); Econometrics; Market portfolio; Financial economics; Systematic risk; Stock (firearms); Stock market; Jump diffusion; Stock exchange; Finance","score_opus":0.03763904959771923,"score_gpt":0.20862656082306066,"score_spread":0.17098751122534145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095070597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924661,0.0010787252,0.00020414674,0.0003404716,0.000007260111,0.00001210026,0.002080188,0.000010039824,0.0038009821],"genre_scores_gemma":[0.9973851,0.0006910947,0.00012656194,0.000028240378,0.0000095263795,0.000001926461,0.0012989768,0.000002725184,0.00045582853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993382,0.000031150546,0.00002903434,0.00007367378,0.00043086076,0.00009698144],"domain_scores_gemma":[0.99550015,0.0010578659,0.00095881574,0.0002352465,0.0018018759,0.000446013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008411334,0.00024627533,0.00025575052,0.0018928907,0.0010748033,0.0010722282,0.00057439733,0.00040304405,0.0017749582],"category_scores_gemma":[0.0065112864,0.00013685093,0.0003606361,0.003450097,0.0005834431,0.0005681463,0.00047283075,0.00044356886,0.00014175022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020144093,0.000046259574,0.9762708,0.00009840468,0.0001646074,0.00023269994,0.00069621194,0.0009407938,0.00072927744,0.001332216,0.0018036454,0.017483607],"study_design_scores_gemma":[0.0000055120818,0.000013099041,0.9971745,0.0000111523095,0.00004006866,0.000035366367,0.00024645115,0.0011672616,0.00016902322,0.000107950495,0.0010167797,0.000012803037],"about_ca_topic_score_codex":0.9625433,"about_ca_topic_score_gemma":0.9723054,"teacher_disagreement_score":0.03745669,"about_ca_system_score_codex":0.0051487065,"about_ca_system_score_gemma":0.0058267894,"threshold_uncertainty_score":0.07535452},"labels":[],"label_agreement":null},{"id":"W3095488518","doi":"10.2139/ssrn.3376162","title":"Crowded Stock Coverage","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Stock (firearms); Business; Econometrics; Geography; Economics","score_opus":0.011942239675042295,"score_gpt":0.19780330956996275,"score_spread":0.18586106989492046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095488518","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38745564,0.004993711,0.0028369364,0.0072630527,0.0011917199,0.00024456644,0.07874954,0.0008241186,0.5164407],"genre_scores_gemma":[0.80729246,0.001413998,0.000752326,0.0025766392,0.0015622191,0.00014188433,0.026363324,0.00014907261,0.15974815],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99779177,0.00019812405,0.00013119927,0.0003526721,0.001097541,0.00042870652],"domain_scores_gemma":[0.9933021,0.0019107078,0.0015420439,0.00080053153,0.0011636262,0.001281022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010709537,0.00023531748,0.00051958783,0.005118253,0.0007158878,0.0029549245,0.0005894658,0.0008486968,0.0994334],"category_scores_gemma":[0.0111289425,0.0001958918,0.00030333526,0.0031525267,0.00026931785,0.0018183213,0.001959577,0.00089109107,0.016595528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006831025,0.00024213768,0.16738133,0.00041626007,0.00022014772,0.00075068686,0.0016230145,0.0029532916,0.0019700509,0.039894998,0.4668887,0.3169763],"study_design_scores_gemma":[0.00007125395,0.00021028997,0.28367382,0.0003461905,0.00007693001,0.00082986057,0.0017178952,0.004836483,0.0013741757,0.015392239,0.6914171,0.000053778786],"about_ca_topic_score_codex":0.006650793,"about_ca_topic_score_gemma":0.008916418,"teacher_disagreement_score":0.0994334,"about_ca_system_score_codex":0.00084645406,"about_ca_system_score_gemma":0.0007568255,"threshold_uncertainty_score":0.33263785},"labels":[],"label_agreement":null},{"id":"W3095599033","doi":"10.32479/ijefi.10610","title":"THE DAY OF THE WEEK EFFECT: UNCONDITIONAL AND CONDITIONAL MARKET RISK ANALYSIS","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Financial Issues","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Composite index; Names of the days of the week; Stock market; Economics; Index (typography); Econometrics; Stock market index; Stock (firearms); Anomaly (physics); Risk–return spectrum; Financial economics; Geography; Linguistics; Composite indicator","score_opus":0.013009151625825733,"score_gpt":0.21130118346072724,"score_spread":0.19829203183490152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095599033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98729837,0.00044582254,0.006414627,0.00044728495,0.00004044189,0.00006107097,0.0010597095,0.00009604934,0.0041366327],"genre_scores_gemma":[0.9974251,0.00008750051,0.00056004064,0.00002669908,0.000024999457,0.000012055537,0.0005193009,0.000012694628,0.0013315978],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855906,0.00024538592,0.00006294481,0.00029696483,0.0004616981,0.00037389415],"domain_scores_gemma":[0.98909795,0.005137853,0.0026690247,0.0010135608,0.0011573021,0.00092432665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030248293,0.00041831651,0.0007179285,0.0014182742,0.0006682704,0.0017465508,0.0014525723,0.0006110266,0.0058980067],"category_scores_gemma":[0.01174584,0.00016553594,0.001219988,0.0016221529,0.0010551629,0.00082584156,0.0010235762,0.0012340524,0.00035351104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064442575,0.00016597356,0.95383364,0.000063760446,0.0004281974,0.00041814084,0.00049924874,0.008095463,0.0013513208,0.011074079,0.0022720075,0.021153746],"study_design_scores_gemma":[0.000016614715,0.0001495865,0.9359341,0.000012842738,0.00024142138,0.00011239468,0.0004186043,0.05866156,0.00060306216,0.0020662367,0.0017382349,0.000045312878],"about_ca_topic_score_codex":0.35424823,"about_ca_topic_score_gemma":0.23284262,"teacher_disagreement_score":0.35424823,"about_ca_system_score_codex":0.0026147224,"about_ca_system_score_gemma":0.0030844586,"threshold_uncertainty_score":0.7043725},"labels":[],"label_agreement":null},{"id":"W3095653669","doi":"10.5430/afr.v9n4p10","title":"Alphas: A Case study in International Institutional Mutual Funds","year":2020,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Neglect; Stock (firearms); Mutual fund; Business; Actuarial science; Manager of managers fund; Economics; Finance; Accounting; Econometrics; Psychology","score_opus":0.15494893490763703,"score_gpt":0.3396631443981117,"score_spread":0.18471420949047465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095653669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827995,0.00032377755,0.0016624057,0.00056178076,0.000011376596,0.000029139339,0.00010289791,0.00003646209,0.014472587],"genre_scores_gemma":[0.99627906,0.00017706574,0.0014713603,0.00002812273,0.000019944398,0.000014943007,0.000060741386,0.000009012401,0.00193983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957592,0.0024550254,0.00022805914,0.00019145786,0.00085124397,0.00051509374],"domain_scores_gemma":[0.9843313,0.009617759,0.0027072683,0.0008133897,0.0016004212,0.00092983665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062907934,0.00035389865,0.00023662692,0.0035579859,0.0024788114,0.00221632,0.0005837462,0.001181143,0.0016141027],"category_scores_gemma":[0.024507813,0.00013405214,0.0003374226,0.0034715615,0.0014236469,0.0018368224,0.001450809,0.0006349549,0.00026969198],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055528316,0.00061421114,0.65571684,0.00021620902,0.00009946502,0.011698553,0.069182634,0.0077764094,0.0010242824,0.06532519,0.0085357,0.17925517],"study_design_scores_gemma":[0.00008991755,0.0012943429,0.6496253,0.00054021535,0.00019720447,0.02410734,0.12733877,0.02707103,0.0077410284,0.019820265,0.14201137,0.00016317812],"about_ca_topic_score_codex":0.00947141,"about_ca_topic_score_gemma":0.012530994,"teacher_disagreement_score":0.00947141,"about_ca_system_score_codex":0.0032762713,"about_ca_system_score_gemma":0.0009795644,"threshold_uncertainty_score":0.033269286},"labels":[],"label_agreement":null},{"id":"W3095941887","doi":"10.3390/jrfm13110259","title":"Investor Sentiment, Portfolio Returns, and Macroeconomic Variables","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Consumer confidence index; Predictive power; Economics; Portfolio; Financial economics; Capital asset pricing model; Stock (firearms); Index (typography); Econometrics; Dividend; Market sentiment; Finance; Computer science; Macroeconomics","score_opus":0.01508734194392597,"score_gpt":0.18822339836119978,"score_spread":0.1731360564172738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095941887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940456,0.00046707888,0.00060727785,0.00019134596,0.0000098351575,0.000009602874,0.0003537744,0.000009300095,0.0043061036],"genre_scores_gemma":[0.9985216,0.0002509342,0.00018671335,0.000020566862,0.000013456919,0.0000042854936,0.0002470669,0.0000015691892,0.00075377786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997974,0.000055008855,0.000019844685,0.000029158424,0.00006167801,0.000036871897],"domain_scores_gemma":[0.9980094,0.00069105264,0.0009269185,0.00006788879,0.0001449918,0.00015981759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074520725,0.0001881374,0.00022359836,0.00055589917,0.00014007282,0.00094308483,0.00009861272,0.0003425662,0.001689774],"category_scores_gemma":[0.0043954463,0.000095353695,0.0002107707,0.000929195,0.00019870454,0.00046392682,0.0002536016,0.00044614883,0.00030386756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000796412,0.000064881664,0.98582006,0.000022965556,0.0001189069,0.00015849092,0.00006631977,0.0018659562,0.0005208267,0.0011950152,0.00035310353,0.009733893],"study_design_scores_gemma":[0.000002677782,0.0000538204,0.99302727,0.000012034051,0.000040910913,0.000060889102,0.00007577808,0.005251578,0.00018232715,0.00078413147,0.0005036579,0.0000048895613],"about_ca_topic_score_codex":0.0045308373,"about_ca_topic_score_gemma":0.0040363637,"teacher_disagreement_score":0.0045308373,"about_ca_system_score_codex":0.0003122137,"about_ca_system_score_gemma":0.0002154776,"threshold_uncertainty_score":0.009008944},"labels":[],"label_agreement":null},{"id":"W3095988102","doi":"10.1142/s2010139220500159","title":"Do Algorithmic Traders Improve Liquidity When Information Asymmetry is High?","year":2020,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Market liquidity; Information asymmetry; Earnings; Equity (law); Algorithmic trading; High-frequency trading; Business; Monetary economics; Financial economics; Proxy (statistics); Order (exchange); Liquidity crisis; Economics; Finance; Computer science","score_opus":0.02090257279332699,"score_gpt":0.1990079412029838,"score_spread":0.1781053684096568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095988102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991323,0.0004990344,0.002790262,0.0006186285,0.000040108025,0.00002227552,0.00011486666,0.00008971481,0.004502265],"genre_scores_gemma":[0.9979892,0.00015378946,0.0011929411,0.00016750078,0.000031403953,0.0000074839604,0.000045350782,0.000007206238,0.00040521024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995901,0.00014330952,0.000045116787,0.000060198734,0.00010025169,0.000061034865],"domain_scores_gemma":[0.9938241,0.0029123686,0.0022908908,0.0005223208,0.0001903274,0.00025991534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010453605,0.00024490902,0.0003549285,0.00045616913,0.0001945861,0.0013806216,0.00025462185,0.0007482753,0.0045752083],"category_scores_gemma":[0.011079733,0.00015025762,0.00032271788,0.0003176732,0.00048042153,0.0016141322,0.0005696331,0.0006238745,0.00039678375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008436075,0.004615294,0.40813506,0.0011356772,0.0011402504,0.0011688023,0.001191556,0.026814753,0.15924324,0.032954834,0.003496721,0.35166773],"study_design_scores_gemma":[0.0029126885,0.009222356,0.6625788,0.00032653316,0.0015524377,0.0013043265,0.0020915219,0.08665502,0.084545195,0.1327624,0.01578959,0.00025916498],"about_ca_topic_score_codex":0.00043238368,"about_ca_topic_score_gemma":0.00053676986,"teacher_disagreement_score":0.0045752083,"about_ca_system_score_codex":0.00019901739,"about_ca_system_score_gemma":0.00032778265,"threshold_uncertainty_score":0.015305638},"labels":[],"label_agreement":null},{"id":"W3096327614","doi":"10.5539/ibr.v13n11p137","title":"The Liquidity Discount in the Italian Market","year":2020,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Economics; Stochastic discount factor; Value (mathematics); Asset (computer security); Capital asset pricing model; Financial economics; Monetary economics; Liquidity risk; Business; Statistics","score_opus":0.13614853618134867,"score_gpt":0.32703377219590224,"score_spread":0.19088523601455357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096327614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.920891,0.031136872,0.0007576345,0.002350278,0.000057795463,0.000027856444,0.0012404557,0.000029366032,0.04350889],"genre_scores_gemma":[0.9945903,0.0039185775,0.00015304396,0.00007859403,0.00013302841,0.0000045898414,0.00030898282,0.000004092897,0.0008088995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996258,0.00007478272,0.000030565316,0.000064896434,0.00015059876,0.00005340328],"domain_scores_gemma":[0.9978752,0.00045623872,0.0013462196,0.00006373416,0.000162908,0.0000957307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007791317,0.00012194355,0.00016898291,0.0025071644,0.0002063715,0.0018848042,0.00016409109,0.000360214,0.0017760651],"category_scores_gemma":[0.00389895,0.0000901823,0.00021931926,0.0019602075,0.0004695909,0.0011810766,0.00044554682,0.00047466444,0.00020263637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011438673,0.00012255408,0.59680104,0.0015275015,0.00021796639,0.0033204388,0.011987708,0.004110693,0.004260268,0.07434146,0.022016326,0.28015015],"study_design_scores_gemma":[0.000014543028,0.00010081296,0.94484556,0.00048612794,0.00008530205,0.0014179975,0.0014079753,0.0017180431,0.00060380576,0.0054113916,0.043853134,0.000055397],"about_ca_topic_score_codex":0.005834955,"about_ca_topic_score_gemma":0.004871253,"teacher_disagreement_score":0.005834955,"about_ca_system_score_codex":0.0015524876,"about_ca_system_score_gemma":0.00042313524,"threshold_uncertainty_score":0.0116019845},"labels":[],"label_agreement":null},{"id":"W3096806952","doi":"","title":"Smart Equity Investing: Implementing Risk Optimization Techniques on Strategic Beta Portfolios","year":2018,"lang":"en","type":"article","venue":"Open Repository and Bibliography (University of Liège)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Equity (law); Business; Finance; Actuarial science; Strategic planning; Risk analysis (engineering); Computer science; Economics; Marketing; Political science","score_opus":0.055053478973164836,"score_gpt":0.2489376926893397,"score_spread":0.19388421371617487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096806952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63990587,0.00051003945,0.34858787,0.00032371836,0.00004098296,0.00013901373,0.00022601629,0.0011464347,0.009120092],"genre_scores_gemma":[0.82279015,0.00017119771,0.1753767,0.000077154844,0.000019735004,0.000043116102,0.00020333586,0.0000560865,0.0012626122],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995425,0.00015851803,0.00004157872,0.0000661729,0.00012520903,0.00006606975],"domain_scores_gemma":[0.9978891,0.0012343706,0.00024469913,0.0003174622,0.00022416984,0.00009020335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002201777,0.0006563294,0.0004692236,0.0010194577,0.00019900051,0.000959644,0.00051092054,0.00042348067,0.0016788114],"category_scores_gemma":[0.006566971,0.00019368187,0.0003834643,0.000889426,0.0002714658,0.0010690449,0.0006208275,0.00050995353,0.00032173545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038450383,0.00036632724,0.02915808,0.00010324806,0.00018100374,0.00011152529,0.00019271,0.36552483,0.008780291,0.012906768,0.0018226521,0.5804681],"study_design_scores_gemma":[0.000050495488,0.0003120866,0.0055799354,0.000018362722,0.00004200059,0.000063965854,0.000066511675,0.97513235,0.0078614205,0.009592435,0.0012639051,0.000016655042],"about_ca_topic_score_codex":0.00142445,"about_ca_topic_score_gemma":0.001996235,"teacher_disagreement_score":0.002201777,"about_ca_system_score_codex":0.00037057078,"about_ca_system_score_gemma":0.000644347,"threshold_uncertainty_score":0.011644244},"labels":[],"label_agreement":null},{"id":"W3096821368","doi":"10.3390/jrfm13110270","title":"CoCDaR and mCoCDaR: New Approach for Measurement of Systemic Risk Contributions","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Systemic risk; CVAR; Actuarial science; Financial institution; Econometrics; Expected shortfall; Measure (data warehouse); Risk measure; Ranking (information retrieval); Drawdown (hydrology); Multivariate statistics; Economics; Institution; Computer science; Statistics; Risk management; Financial crisis; Mathematics; Financial economics; Finance; Engineering; Data mining","score_opus":0.030360443516018996,"score_gpt":0.20360080542064496,"score_spread":0.17324036190462597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096821368","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17538467,0.0034878158,0.7959994,0.0005902102,0.0005300792,0.00073649606,0.0043315245,0.0018967041,0.017042989],"genre_scores_gemma":[0.8121029,0.0011940445,0.17845225,0.00021522777,0.000404019,0.0008335547,0.0029242309,0.00033036547,0.0035434659],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99316835,0.0016201293,0.0006780451,0.0012565585,0.0029423432,0.0003345878],"domain_scores_gemma":[0.9666766,0.01633619,0.007881218,0.0038041105,0.0042579668,0.0010438613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058874926,0.0018413618,0.0011395226,0.010345469,0.0007134502,0.0027998085,0.0015613277,0.0012342775,0.0042506196],"category_scores_gemma":[0.038112648,0.00041946492,0.0014949961,0.007166981,0.0013452023,0.003203599,0.0022185862,0.0022222784,0.00072228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009463401,0.0006374341,0.24854527,0.0009930837,0.0016420117,0.001012041,0.0013010873,0.13564208,0.014650225,0.12651125,0.018731441,0.4493877],"study_design_scores_gemma":[0.000105720996,0.0011084379,0.2170684,0.00032497558,0.00044528543,0.0016525964,0.0009946664,0.63008606,0.013952603,0.09134857,0.042238943,0.00067374925],"about_ca_topic_score_codex":0.0037313038,"about_ca_topic_score_gemma":0.0031516175,"teacher_disagreement_score":0.010345469,"about_ca_system_score_codex":0.0014104493,"about_ca_system_score_gemma":0.0011861704,"threshold_uncertainty_score":0.031136394},"labels":[],"label_agreement":null},{"id":"W3096830298","doi":"10.1080/1351847x.2020.1832552","title":"Portfolio choices and hedge funds: a disappointment aversion analysis","year":2020,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université du Québec à Montréal","funders":"","keywords":"Disappointment; Economics; Portfolio; Hedge fund; Asset (computer security); Loss aversion; Financial economics; Risk aversion (psychology); Actuarial science; Econometrics; Microeconomics; Expected utility hypothesis; Finance; Computer science","score_opus":0.033525673876489595,"score_gpt":0.20104475121985746,"score_spread":0.16751907734336785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096830298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6050836,0.0025864108,0.36807182,0.0018268453,0.000057723264,0.00011124689,0.00014378264,0.000099436824,0.022019189],"genre_scores_gemma":[0.9915902,0.00046071215,0.0056067975,0.00006003003,0.000035799825,0.00002440363,0.000025223057,0.000008877893,0.0021880602],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907136,0.0005048343,0.000039633953,0.00010408987,0.00014450274,0.00013560595],"domain_scores_gemma":[0.99364084,0.004264118,0.0011186152,0.0003820667,0.00023839882,0.00035587576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004816056,0.0007831201,0.0008932154,0.0009276015,0.00050680427,0.002301278,0.0010567477,0.0013204941,0.0031621663],"category_scores_gemma":[0.013949321,0.00041541518,0.001075155,0.00072724256,0.0017142122,0.0026635095,0.0015610548,0.0018908286,0.0002009145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040760072,0.0002289745,0.01643643,0.00018548174,0.00035999017,0.0006635614,0.00036241455,0.2865359,0.0030179634,0.64846617,0.0016539551,0.041681528],"study_design_scores_gemma":[0.0000810741,0.00029068216,0.0060335724,0.000072753195,0.00020057634,0.0002912824,0.00016389573,0.5510782,0.00081706507,0.4387693,0.0021397686,0.00006183459],"about_ca_topic_score_codex":0.0012666157,"about_ca_topic_score_gemma":0.00086728286,"teacher_disagreement_score":0.004816056,"about_ca_system_score_codex":0.001108849,"about_ca_system_score_gemma":0.00050120056,"threshold_uncertainty_score":0.025470018},"labels":[],"label_agreement":null},{"id":"W3097198660","doi":"10.3390/jrfm13110272","title":"Does Short-Termism Influence the Market Value of Companies? Evidence from EU Countries","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shareholder value; Shareholder; Value (mathematics); Business; Accounting; Sustainability; Stock exchange; Market value; Stock market; Event study; Corporate governance; Monetary economics; Financial economics; Economics; Finance","score_opus":0.018651926442696434,"score_gpt":0.21090634344877543,"score_spread":0.19225441700607898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097198660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98969054,0.003238046,0.00012807435,0.0004122778,0.000019143474,0.000005286365,0.00024732196,0.0000034313716,0.0062558977],"genre_scores_gemma":[0.9987196,0.0007674192,0.00003147289,0.00006184263,0.000013990245,0.0000010962689,0.00022643198,0.0000020569632,0.00017606207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990969,0.00028497603,0.00010504319,0.00018659496,0.00019205088,0.00013454126],"domain_scores_gemma":[0.984539,0.0049677705,0.007987689,0.0007963983,0.0011021129,0.0006070229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021591934,0.00015084403,0.0002809086,0.001016641,0.00020335367,0.001867252,0.00034884643,0.0005355296,0.0017650375],"category_scores_gemma":[0.0075835437,0.00009798684,0.00034874486,0.0014081167,0.00062372285,0.0012334536,0.001047955,0.0004050236,0.00021553307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004155117,0.000088609566,0.96918845,0.00017686094,0.00031466602,0.00046279782,0.001321694,0.00047146683,0.0003915798,0.0020619591,0.0006060218,0.024500355],"study_design_scores_gemma":[0.0000072039243,0.00008198696,0.99599177,0.000068180176,0.000055022505,0.000105556435,0.0010696508,0.000106475476,0.00021827169,0.00022559224,0.0020630271,0.0000072902462],"about_ca_topic_score_codex":0.0038633582,"about_ca_topic_score_gemma":0.0026382229,"teacher_disagreement_score":0.0038633582,"about_ca_system_score_codex":0.000258094,"about_ca_system_score_gemma":0.00020185267,"threshold_uncertainty_score":0.011419058},"labels":[],"label_agreement":null},{"id":"W3097571562","doi":"10.1080/15427560.2020.1841767","title":"Behavioral Heterogeneity in the Stock Market Revisited: What Factors Drive Investors as Fundamentalists or Chartists?","year":2020,"lang":"en","type":"article","venue":"Journal of Behavioral Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Accounting and Finance Association of Australia and New Zealand","keywords":"Economics; Financial economics; Volatility (finance); Stock (firearms); Accrual; Stock market; Investment decisions; Behavioral economics; Herding; Econometrics; Monetary economics; Earnings; Finance","score_opus":0.11245585835530239,"score_gpt":0.3073647651106973,"score_spread":0.19490890675539493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097571562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99674547,0.00017632509,0.0007786048,0.00044017003,0.0000057570924,0.000011558451,0.000034860484,0.000003819643,0.0018034349],"genre_scores_gemma":[0.9995758,0.000041993557,0.00012062347,0.000046948364,0.000018176144,0.0000021283481,0.000026335874,0.0000011058522,0.00016684277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935037,0.00018078834,0.00005256015,0.00013876044,0.00017437554,0.00010309195],"domain_scores_gemma":[0.9822728,0.006078583,0.009152548,0.000964915,0.00058936246,0.0009417927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022582447,0.00015761891,0.00032970798,0.0010978632,0.0004608591,0.001624401,0.00035639663,0.00056465156,0.0030755042],"category_scores_gemma":[0.015712231,0.00011643303,0.00034273183,0.0005665235,0.0010163327,0.0025961366,0.0010096773,0.0007984153,0.00021734145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047147775,0.00012463261,0.9652132,0.00002974269,0.00011426836,0.00015668431,0.0020334872,0.00046243594,0.0017172045,0.005563196,0.00027012944,0.023843478],"study_design_scores_gemma":[0.000026512918,0.00016298138,0.98152804,0.000025556965,0.00006196537,0.0002163615,0.0025734995,0.002720246,0.0006062131,0.0110670375,0.0009890973,0.000022561428],"about_ca_topic_score_codex":0.002243489,"about_ca_topic_score_gemma":0.002557329,"teacher_disagreement_score":0.0030755042,"about_ca_system_score_codex":0.00053314376,"about_ca_system_score_gemma":0.00029943217,"threshold_uncertainty_score":0.011942863},"labels":[],"label_agreement":null},{"id":"W3097753938","doi":"10.2139/ssrn.3396098","title":"Can Investors Fully Adjust for Known Biases in Management Earnings Forecasts?","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Earnings management; Earnings; Business; Econometrics; Economics; Actuarial science; Finance","score_opus":0.02280012303886002,"score_gpt":0.21310753301089083,"score_spread":0.1903074099720308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097753938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78705645,0.0035669592,0.14918984,0.02174835,0.0015599632,0.00013887051,0.0031386488,0.0021299734,0.031471003],"genre_scores_gemma":[0.9896479,0.00045223965,0.0054252255,0.0010980817,0.00040029816,0.000014060707,0.00050720316,0.00009000229,0.0023650217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791354,0.0006021673,0.00021269111,0.0005335461,0.00041479917,0.00032317286],"domain_scores_gemma":[0.9592832,0.01909035,0.011655978,0.006595087,0.0027957917,0.00057961815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011457773,0.00079198263,0.0008698555,0.00080787076,0.00035516275,0.0034036895,0.0010461605,0.0021743164,0.0032122782],"category_scores_gemma":[0.114917375,0.00054863846,0.0005899832,0.00075260794,0.0005998425,0.0063281152,0.0011099692,0.0017683037,0.0015396205],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001230474,0.00025516702,0.5130062,0.00036096742,0.0020803546,0.0005807455,0.0006969229,0.08527884,0.0045766905,0.029775351,0.027251502,0.33490676],"study_design_scores_gemma":[0.00029315022,0.00036825985,0.38263977,0.00022006982,0.00072345295,0.0005876837,0.00062148296,0.41364044,0.010114971,0.17652307,0.014016918,0.0002507547],"about_ca_topic_score_codex":0.0048172656,"about_ca_topic_score_gemma":0.0043626716,"teacher_disagreement_score":0.011457773,"about_ca_system_score_codex":0.0006268441,"about_ca_system_score_gemma":0.0010306456,"threshold_uncertainty_score":0.060595214},"labels":[],"label_agreement":null},{"id":"W3098690643","doi":"10.1080/0960085x.2020.1829511","title":"Exploring firm strategy using financial reports: performance impact of inward and outward relatedness with digitisation","year":2020,"lang":"en","type":"article","venue":"European Journal of Information Systems","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Portfolio; Business; Measure (data warehouse); Space (punctuation); Competition (biology); Marketing; Industrial organization; Accounting; Finance; Computer science; Database","score_opus":0.11489078218697846,"score_gpt":0.21523780903761766,"score_spread":0.1003470268506392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098690643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961564,0.0001067594,0.00030353316,0.00014682581,0.000003827272,0.000009276102,0.00028802696,0.000010308191,0.0029750227],"genre_scores_gemma":[0.99902403,0.000050738414,0.00021833925,0.000012103779,0.000008965005,0.000004486953,0.0003229779,0.0000025938295,0.00035581994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976578,0.00077203475,0.00027136374,0.00030468433,0.0007118683,0.00028221132],"domain_scores_gemma":[0.9128753,0.037878368,0.03957124,0.0024557754,0.003881318,0.003338068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004259711,0.0003327762,0.00030101527,0.0041796453,0.00033230602,0.0029792802,0.000411035,0.00059376046,0.002878767],"category_scores_gemma":[0.036455944,0.00012510348,0.0003391642,0.0052774497,0.0005951174,0.0026202507,0.001394739,0.0007514027,0.00076197286],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004946151,0.000072129675,0.9882889,0.00001667206,0.00008257768,0.000053035514,0.00038566795,0.00061921217,0.00019160741,0.0003417047,0.00020874418,0.0096902605],"study_design_scores_gemma":[0.000003239053,0.000092673596,0.99534047,0.000010143324,0.00002724365,0.000058041187,0.0010648326,0.002162328,0.00031803962,0.00031752442,0.00059190235,0.000013712718],"about_ca_topic_score_codex":0.0036128347,"about_ca_topic_score_gemma":0.0040410855,"teacher_disagreement_score":0.004259711,"about_ca_system_score_codex":0.0006173377,"about_ca_system_score_gemma":0.0003510068,"threshold_uncertainty_score":0.022527754},"labels":[],"label_agreement":null},{"id":"W3099111217","doi":"10.34989/san-2020-27","title":"Concentration in the market of authorized participants of US fixed-income exchange-traded funds","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Fixed income; Equity (law); Business; Monetary economics; Shares outstanding; Finance; Financial system; Economics; Bond","score_opus":0.06160846831212709,"score_gpt":0.27512052426248473,"score_spread":0.21351205595035766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099111217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844967,0.00033079498,0.00033298103,0.00061753544,0.000009554701,0.0000097604125,0.0006502407,0.000022020678,0.013530497],"genre_scores_gemma":[0.9981331,0.00007889799,0.00007081529,0.0000801468,0.00001774845,0.000005585128,0.00028013787,0.0000030032313,0.0013304981],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989729,0.00022532258,0.00005588007,0.0002616581,0.00020986637,0.00027448192],"domain_scores_gemma":[0.99043804,0.0038231607,0.003704656,0.00034762087,0.0007146805,0.00097190187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010030007,0.00010335125,0.00027072555,0.0013565504,0.0006140194,0.0026760283,0.00042644478,0.0005430823,0.013196393],"category_scores_gemma":[0.0054318924,0.00011798296,0.0001316545,0.001195843,0.00066133967,0.0018265567,0.0012343804,0.00065119436,0.0012880382],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066826004,0.000441243,0.89638335,0.00009165619,0.000102159705,0.00058682065,0.0037020617,0.0010055342,0.004203987,0.029063355,0.010835614,0.05291595],"study_design_scores_gemma":[0.00008658217,0.00034259426,0.9502158,0.0000771668,0.00007027758,0.0008725388,0.0063243555,0.0063765873,0.0042795097,0.0063814996,0.024920713,0.00005229998],"about_ca_topic_score_codex":0.005114042,"about_ca_topic_score_gemma":0.0069704005,"teacher_disagreement_score":0.013196393,"about_ca_system_score_codex":0.0006839787,"about_ca_system_score_gemma":0.0004877281,"threshold_uncertainty_score":0.0441463},"labels":[],"label_agreement":null},{"id":"W3099582775","doi":"10.5539/ijef.v12n12p47","title":"Macroeconomic Conditions and Stock Market Liquidity in Kenya","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Liquidity crisis; Accounting liquidity; Economics; Liquidity risk; Stock market; Monetary economics; Liquidity premium; Stock (firearms); Financial economics","score_opus":0.02877855663056775,"score_gpt":0.23032814668760718,"score_spread":0.20154959005703943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099582775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99763036,0.000461883,0.000029653744,0.00014550373,0.0000029525304,0.0000043321065,0.00019733589,8.800453e-7,0.0015270067],"genre_scores_gemma":[0.99942744,0.00029184055,0.000024554227,0.000010088592,0.000003349244,0.0000016642202,0.00007718019,2.8699844e-7,0.00016357149],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999193,0.000020773936,0.000008753635,0.00001035717,0.000009919508,0.00003100176],"domain_scores_gemma":[0.9994349,0.00011135483,0.00034401027,0.000008762762,0.00003524819,0.00006578299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023634259,0.00012618487,0.00015610078,0.0005255628,0.0005383937,0.00072566856,0.0000990997,0.0002571893,0.0019243886],"category_scores_gemma":[0.0009389906,0.00015101946,0.00012793436,0.0006652549,0.00033682803,0.0005215376,0.0004430966,0.000309913,0.00012494969],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012514349,0.0000769914,0.9908886,0.00005852439,0.00004792423,0.00056771305,0.0008365546,0.00056593807,0.00068130635,0.0014558866,0.00035987212,0.0043354714],"study_design_scores_gemma":[0.0000052832247,0.00004414496,0.9968336,0.00004012305,0.00002309379,0.00011581039,0.0013227577,0.00059553876,0.00010793254,0.0002799808,0.000624244,0.000007598171],"about_ca_topic_score_codex":0.03654157,"about_ca_topic_score_gemma":0.086565085,"teacher_disagreement_score":0.03654157,"about_ca_system_score_codex":0.0006957584,"about_ca_system_score_gemma":0.0005543829,"threshold_uncertainty_score":0.072657764},"labels":[],"label_agreement":null},{"id":"W3100230539","doi":"10.5539/ijms.v12n4p1","title":"On the Validity of the Capital Asset Pricing Model (CAPM)","year":2020,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Consumption-based capital asset pricing model; Financial economics; Investment theory; Security market line; Investment (military); Economics; Stock (firearms); Business; Stock market; Microeconomics","score_opus":0.10998426577877325,"score_gpt":0.27346034893157506,"score_spread":0.16347608315280182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100230539","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15421525,0.006876372,0.70943475,0.027597526,0.0015282959,0.00015961168,0.00034201043,0.000301417,0.09954486],"genre_scores_gemma":[0.95248675,0.0024449076,0.04042263,0.0011551976,0.0010335244,0.00012485906,0.0001384359,0.00009838208,0.0020954125],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98974377,0.006306048,0.0003610474,0.00090086804,0.002269911,0.00041838057],"domain_scores_gemma":[0.8917097,0.09506844,0.0031680518,0.0052786088,0.0042085117,0.0005666789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021619186,0.0009855842,0.0016291187,0.0020398838,0.0014421208,0.0040576067,0.002256171,0.003228216,0.0034519124],"category_scores_gemma":[0.128069,0.00047529853,0.0011192445,0.0014322577,0.009312678,0.007481094,0.0037628103,0.005222543,0.0007970048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008270684,0.000075066666,0.005319246,0.00012243485,0.00006657925,0.00023210821,0.00033527883,0.033736866,0.00026577528,0.9381645,0.0015661144,0.020033387],"study_design_scores_gemma":[0.000024041683,0.000092734525,0.0011000369,0.00016380806,0.000022268472,0.00019335425,0.00015248668,0.15598182,0.00023951461,0.83962005,0.0023692914,0.000040501243],"about_ca_topic_score_codex":0.0031747767,"about_ca_topic_score_gemma":0.0008450058,"teacher_disagreement_score":0.021619186,"about_ca_system_score_codex":0.0015905829,"about_ca_system_score_gemma":0.002600865,"threshold_uncertainty_score":0.11433452},"labels":[],"label_agreement":null},{"id":"W310075374","doi":"10.2139/ssrn.2601021","title":"The Sensitivity of CPPI Performance to the Choice of Weighting Scheme in the Equity Portfolio","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Equity (law); Weighting; Portfolio; Sensitivity (control systems); Econometrics; Economics; Financial economics; Engineering; Physics; Political science","score_opus":0.04622917358710664,"score_gpt":0.26025685239329366,"score_spread":0.214027678806187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W310075374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97406805,0.00035490893,0.015468486,0.0005242624,0.00006273803,0.000044939417,0.00038313866,0.0002430454,0.008850481],"genre_scores_gemma":[0.99819034,0.000054466494,0.0010586802,0.00004180215,0.000011645071,0.000006189843,0.00013575448,0.000029136996,0.00047191608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985297,0.0004593643,0.00009855043,0.00029141136,0.00035830608,0.00026268387],"domain_scores_gemma":[0.9761045,0.017886993,0.0020533267,0.0015345641,0.0017589576,0.0006617012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006226067,0.00031291577,0.000433066,0.00068570115,0.00024741044,0.0018539865,0.00045923036,0.0011587379,0.0024771495],"category_scores_gemma":[0.04135571,0.00020687764,0.00024658503,0.00088854757,0.0004263627,0.001318332,0.0008703571,0.0011166757,0.0007057394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004842875,0.00066252454,0.1396036,0.00041602945,0.00066023844,0.000669768,0.00036675276,0.6192538,0.095999725,0.012475259,0.0059439396,0.119105436],"study_design_scores_gemma":[0.00014275777,0.0022358722,0.16418971,0.00008312181,0.00030741334,0.00059057114,0.00041381546,0.74636376,0.07678651,0.006717698,0.0020365934,0.00013221557],"about_ca_topic_score_codex":0.0020703687,"about_ca_topic_score_gemma":0.0008098369,"teacher_disagreement_score":0.006226067,"about_ca_system_score_codex":0.0005043941,"about_ca_system_score_gemma":0.00038237285,"threshold_uncertainty_score":0.032926977},"labels":[],"label_agreement":null},{"id":"W3102366032","doi":"10.2139/ssrn.3349844","title":"Countercyclical Stockholders' Consumption Risk and Tests of Conditional CCAPM","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Shareholder; Econometrics; Economics; Consumption (sociology); Financial economics; Monetary economics; Actuarial science; Finance; Corporate governance; Sociology; Social science","score_opus":0.013086769224796095,"score_gpt":0.21394924248335753,"score_spread":0.20086247325856144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102366032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968919,0.000057556128,0.0011061837,0.00014006476,0.000008455262,0.0000049847577,0.00016547726,0.000016411632,0.0016089791],"genre_scores_gemma":[0.9995437,0.00000989567,0.00011366902,0.000009827326,0.000007677193,0.000003443264,0.00011921207,0.000003491149,0.0001890557],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99656147,0.0016081337,0.00028158602,0.00065361167,0.00039926064,0.0004959486],"domain_scores_gemma":[0.81323904,0.15737118,0.01723138,0.007459042,0.0017896605,0.002909701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008093125,0.0004660755,0.0006811974,0.0008931813,0.0004776009,0.002150061,0.0013752275,0.0013785331,0.008210948],"category_scores_gemma":[0.07767761,0.00025157936,0.00067428785,0.001156897,0.0015903437,0.0023735713,0.001674464,0.00158292,0.00045137323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003795619,0.0005343573,0.9309321,0.00009006567,0.0007401132,0.0005303094,0.00087798125,0.014307796,0.0017277888,0.027380303,0.0011616109,0.017922051],"study_design_scores_gemma":[0.0002352098,0.0010971396,0.8305369,0.000041427294,0.000374967,0.0004515815,0.0012076877,0.12577932,0.0033162658,0.035564903,0.001320065,0.0000745318],"about_ca_topic_score_codex":0.003828413,"about_ca_topic_score_gemma":0.002003793,"teacher_disagreement_score":0.008210948,"about_ca_system_score_codex":0.00062428106,"about_ca_system_score_gemma":0.0007016707,"threshold_uncertainty_score":0.042801023},"labels":[],"label_agreement":null},{"id":"W3104618193","doi":"10.3390/jrfm13110273","title":"Barriers to Financial Innovation—Corporate Finance Perspective","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Finance; Business; Financial innovation; Corporate finance; Financial services; Perspective (graphical); Accounting management; Financial transaction; Accounting; Database transaction; Accounting information system","score_opus":0.024234141599219244,"score_gpt":0.20655451107531578,"score_spread":0.18232036947609653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104618193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5315741,0.013211122,0.024071662,0.048827205,0.00015743093,0.00022738671,0.00023797434,0.000051978423,0.3816412],"genre_scores_gemma":[0.99312687,0.0016504439,0.0010398448,0.0006411771,0.00006293846,0.000040481325,0.000026080088,0.0000050433637,0.0034070723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99647176,0.0011351453,0.00016345523,0.00034805047,0.0009144273,0.00096713833],"domain_scores_gemma":[0.9839655,0.009864947,0.003103214,0.00042333646,0.0013714388,0.001271497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027480274,0.00038403278,0.00047743725,0.0024897167,0.0013085876,0.006143837,0.00075525226,0.0030971754,0.006228268],"category_scores_gemma":[0.011035396,0.00019100447,0.00037472576,0.0013084512,0.0052710157,0.0048220227,0.0024147572,0.0022572984,0.0003138629],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048175883,0.00024832392,0.020775773,0.00042960144,0.000035587233,0.0006874403,0.004600291,0.0023883244,0.00087549223,0.93904495,0.001382312,0.029483795],"study_design_scores_gemma":[0.00009516531,0.0005432457,0.111205816,0.0022641888,0.00010032546,0.0022046294,0.024852838,0.007888789,0.0025277215,0.6489594,0.19921009,0.00014780946],"about_ca_topic_score_codex":0.0031227847,"about_ca_topic_score_gemma":0.0014639406,"teacher_disagreement_score":0.006228268,"about_ca_system_score_codex":0.0043938817,"about_ca_system_score_gemma":0.003489201,"threshold_uncertainty_score":0.03187996},"labels":[],"label_agreement":null},{"id":"W3106852579","doi":"10.2139/ssrn.3240810","title":"Bayesian Estimation of Financial Frictions: An Encompassing View","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Bayesian probability; Bayes estimator; Estimation; Economics; Econometrics; Computer science; Finance; Artificial intelligence; Management","score_opus":0.017761338153701647,"score_gpt":0.235730622508428,"score_spread":0.21796928435472634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106852579","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023114078,0.0024790633,0.9645501,0.00448475,0.00007893868,0.000027638636,0.00011938018,0.00008679802,0.0050593265],"genre_scores_gemma":[0.8435102,0.0108039845,0.13291103,0.0012328068,0.0019637921,0.00021608482,0.0004928583,0.00014938609,0.008719745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958918,0.0023140968,0.00024036686,0.00061993796,0.0006985795,0.00023523402],"domain_scores_gemma":[0.9552974,0.038220663,0.0024625731,0.0020995187,0.0013085213,0.0006113497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011581647,0.001445706,0.0044499887,0.0030894864,0.00088164944,0.0053149094,0.00380525,0.004858213,0.0030446548],"category_scores_gemma":[0.07723281,0.002372527,0.0019965188,0.00230469,0.0037356508,0.01132172,0.004182417,0.004589374,0.00037191936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058185415,0.0000779387,0.0018054654,0.00020195641,0.00023392192,0.00013533662,0.00020345306,0.2230611,0.00031683396,0.74340284,0.0013043392,0.029198756],"study_design_scores_gemma":[0.00002493182,0.000027201513,0.00063481356,0.00006883095,0.000042294254,0.000042765347,0.000023653669,0.3220331,0.00008106039,0.6761924,0.0007986431,0.000030257977],"about_ca_topic_score_codex":0.0048435703,"about_ca_topic_score_gemma":0.0037237515,"teacher_disagreement_score":0.011581647,"about_ca_system_score_codex":0.0013701682,"about_ca_system_score_gemma":0.0019197151,"threshold_uncertainty_score":0.06125033},"labels":[],"label_agreement":null},{"id":"W3108094750","doi":"10.3390/jrfm13120302","title":"Factor-Based Optimization of a Fundamentally-Weighted Portfolio in the Illiquid and Undeveloped Stock Market","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Econometrics; Unobservable; Portfolio optimization; Weighting; Volatility (finance); Sample (material); Rate of return on a portfolio; Economics; Stock market; Computer science; Financial economics","score_opus":0.022624749890635006,"score_gpt":0.2043325149112053,"score_spread":0.1817077650205703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108094750","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23960413,0.00036706604,0.7574086,0.00010845072,0.00002964233,0.00005592732,0.000062788975,0.00020548461,0.0021578649],"genre_scores_gemma":[0.85303867,0.00018752257,0.14518544,0.00005297192,0.00002108762,0.000040367224,0.00016423626,0.000043004304,0.0012667961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971277,0.000118246266,0.000016964837,0.000060335333,0.000053042306,0.000038712322],"domain_scores_gemma":[0.9991455,0.00052429514,0.00011566669,0.00005604954,0.000118783224,0.000039726845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017088515,0.00078443234,0.00085481454,0.00046280576,0.00013075097,0.0009993226,0.00043792513,0.0005203129,0.0009589618],"category_scores_gemma":[0.003070342,0.00028368854,0.00038286232,0.00034502667,0.00032246017,0.00090904,0.00052282,0.000514251,0.00014254462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017381067,0.00008254915,0.0029152688,0.00007592581,0.000090230365,0.000066922046,0.000041275896,0.8832532,0.0046615023,0.011090499,0.00046098395,0.09708791],"study_design_scores_gemma":[0.000007895533,0.00010560057,0.0007142216,0.000005203094,0.000014415061,0.000015807467,0.00000772299,0.99530363,0.000740447,0.0028489064,0.00023009218,0.0000060119746],"about_ca_topic_score_codex":0.0012089988,"about_ca_topic_score_gemma":0.0011784525,"teacher_disagreement_score":0.0017088515,"about_ca_system_score_codex":0.00033661473,"about_ca_system_score_gemma":0.0005790979,"threshold_uncertainty_score":0.009037375},"labels":[],"label_agreement":null},{"id":"W3108990561","doi":"10.5430/ijfr.v11n6p25","title":"Behavioral Bias in Individual Investment Decisions: Is It a Common Phenomenon in Stock Markets?","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Loss aversion; Overconfidence effect; Representativeness heuristic; Behavioral economics; Regret; Investment decisions; Stock exchange; Stock market; Stock (firearms); Economics; Business; Econometrics; Financial economics; Actuarial science; Microeconomics; Finance; Psychology","score_opus":0.42228292829587555,"score_gpt":0.4180866609516516,"score_spread":0.004196267344223958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108990561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997957,0.00014729041,0.00087208266,0.00014453428,0.0000057873617,0.000014670687,0.000029742256,0.000003747018,0.00082497945],"genre_scores_gemma":[0.99937695,0.000068048175,0.00038573358,0.00005943685,0.00000862269,0.000006695471,0.000030361918,0.0000015641479,0.00006261585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99673814,0.001489317,0.00030004446,0.00031567458,0.00091782346,0.00023913078],"domain_scores_gemma":[0.9544395,0.02478117,0.015784208,0.0025402745,0.0014733814,0.0009813723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059614275,0.00016719919,0.0003878222,0.00095399603,0.00034004482,0.0011038922,0.0003179965,0.0006060503,0.0009377764],"category_scores_gemma":[0.025956502,0.00018255433,0.00029353987,0.00087489316,0.00089091115,0.00094488775,0.0005528811,0.0006570588,0.00012490073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007056978,0.00011702716,0.9837249,0.000028073875,0.000080208534,0.000058185014,0.0016806073,0.00013448397,0.0004061041,0.0003201861,0.00005157006,0.013327985],"study_design_scores_gemma":[0.000004395482,0.00012640229,0.99613464,0.000020957077,0.000029519737,0.00014154686,0.0015041942,0.0008480974,0.000228616,0.00067688734,0.00027115134,0.000013627618],"about_ca_topic_score_codex":0.0018497619,"about_ca_topic_score_gemma":0.0036541857,"teacher_disagreement_score":0.0059614275,"about_ca_system_score_codex":0.0004303601,"about_ca_system_score_gemma":0.00047420926,"threshold_uncertainty_score":0.03152746},"labels":[],"label_agreement":null},{"id":"W3109031439","doi":"10.1111/1911-3846.12663","title":"How Are Institutions Informed? Proactive Trading, Information Flows, and Stock Selection Strategies*","year":2020,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Predictability; Institutional investor; Information asymmetry; Business; Private information retrieval; Stock (firearms); Equity (law); Trading strategy; Basis point; Financial economics; Finance; Economics; Actuarial science; Corporate governance; Political science; Bond","score_opus":0.16080832749702964,"score_gpt":0.30271910761710136,"score_spread":0.14191078012007172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109031439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913317,0.00027044656,0.0023296939,0.00048638965,0.0000062031886,0.000013211085,0.00009683637,0.000021118947,0.0054444256],"genre_scores_gemma":[0.9995442,0.000053309825,0.00017834625,0.000016135067,0.0000072049984,0.0000014007278,0.00001840303,9.648918e-7,0.00017999188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993742,0.00017429094,0.0000720968,0.00009474371,0.0001553787,0.00012939498],"domain_scores_gemma":[0.97416955,0.00966288,0.013406613,0.0013783796,0.0007384295,0.0006440834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002125502,0.00017717118,0.00023769963,0.0010314982,0.00031402844,0.002656063,0.0002592917,0.00062913256,0.0023696315],"category_scores_gemma":[0.016680628,0.0001370438,0.0001912899,0.0009927512,0.00085201114,0.0019832395,0.0007638966,0.0005730147,0.00022971183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030147424,0.00020215042,0.90711886,0.00004915301,0.00021984924,0.0003855168,0.0010421851,0.0120354695,0.0019330301,0.012605956,0.0005164056,0.06358999],"study_design_scores_gemma":[0.000028482049,0.00018904007,0.92752934,0.00005593799,0.00013033587,0.00027366,0.0019382493,0.028516823,0.0027272908,0.036059897,0.0024931883,0.00005775307],"about_ca_topic_score_codex":0.0018928797,"about_ca_topic_score_gemma":0.002861073,"teacher_disagreement_score":0.002656063,"about_ca_system_score_codex":0.0006708183,"about_ca_system_score_gemma":0.0004964361,"threshold_uncertainty_score":0.01124084},"labels":[],"label_agreement":null},{"id":"W3110677901","doi":"10.5539/ijef.v13n1p45","title":"Hedge Funds, Arbitrage, and Timing","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hedge fund; Asset (computer security); Arbitrage; Capital asset pricing model; Arbitrage pricing theory; Financial economics; Economics; Momentum (technical analysis); Fund of funds; Hedge; Business; Econometrics; Monetary economics; Finance; Computer science","score_opus":0.04755791756621218,"score_gpt":0.2259530840692603,"score_spread":0.1783951665030481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110677901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9331809,0.007189312,0.037986692,0.0017353338,0.00011820497,0.00004015425,0.00035183478,0.00012319372,0.019274386],"genre_scores_gemma":[0.996885,0.0005246725,0.0015534811,0.000037025253,0.00005754234,0.000006418164,0.00007995678,0.00001046918,0.00084543537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988562,0.00029620988,0.0001315192,0.00023165125,0.00032312385,0.00016119526],"domain_scores_gemma":[0.9836775,0.008966219,0.005149205,0.0011267633,0.0005390444,0.00054129044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037399586,0.00043763904,0.0007517594,0.0013308667,0.00045347612,0.0035954555,0.00060649955,0.0009229009,0.0028987247],"category_scores_gemma":[0.034605797,0.00023395084,0.00043410007,0.0014889721,0.0011872228,0.0033593713,0.0012345709,0.0010452982,0.00028158055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008859163,0.00016808715,0.4726688,0.00023384944,0.00049429765,0.0008637367,0.0011676655,0.053588755,0.0026207562,0.29409415,0.002407558,0.17080653],"study_design_scores_gemma":[0.000093799295,0.000469889,0.3224418,0.00015996113,0.00022295472,0.0009863527,0.0008768453,0.08361719,0.002052615,0.5789808,0.009955337,0.00014246382],"about_ca_topic_score_codex":0.002823759,"about_ca_topic_score_gemma":0.0017312495,"teacher_disagreement_score":0.0037399586,"about_ca_system_score_codex":0.0006953345,"about_ca_system_score_gemma":0.00069972087,"threshold_uncertainty_score":0.019779027},"labels":[],"label_agreement":null},{"id":"W3110703781","doi":"10.5267/j.ac.2020.11.006","title":"Investor sentiment by relative strength index and stock return: Empirical evidence on Vietnam's stock market","year":2020,"lang":"en","type":"article","venue":"Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock market; Stock (firearms); Financial economics; Stock market index; Economics; Empirical evidence; Econometrics; Business; Monetary economics; Finance; Geography","score_opus":0.07095510160970067,"score_gpt":0.25884616581500947,"score_spread":0.1878910642053088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110703781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969112,0.00076255255,0.000041499017,0.00017795706,0.000006847844,0.0000030860647,0.0001538644,8.5152885e-7,0.0019420496],"genre_scores_gemma":[0.9991035,0.0004246778,0.000023686556,0.000022132435,0.000012655945,9.548786e-7,0.00013900758,6.933752e-7,0.00027275088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998331,0.00004375234,0.000015175038,0.00003052932,0.000048316677,0.000029146953],"domain_scores_gemma":[0.99784744,0.0007929071,0.00082498376,0.00005431735,0.00023751805,0.00024287461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000479136,0.00012402012,0.00012426055,0.0006972509,0.00016759393,0.0005764804,0.00013293388,0.00018187865,0.0019430028],"category_scores_gemma":[0.0023827846,0.0000970097,0.00022104513,0.00087929534,0.00027105794,0.0005047931,0.00024949713,0.00028666842,0.00015631886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028686904,0.000026021018,0.99537057,0.000019983454,0.000050656377,0.00010707502,0.000255559,0.00005255127,0.00011883952,0.00017989964,0.00019553656,0.003594563],"study_design_scores_gemma":[0.0000020075745,0.000026191188,0.99856526,0.000015427002,0.000024188193,0.00006720013,0.0004075072,0.00033223184,0.000047310696,0.0000701497,0.00044032358,0.0000022568472],"about_ca_topic_score_codex":0.013935162,"about_ca_topic_score_gemma":0.017118694,"teacher_disagreement_score":0.013935162,"about_ca_system_score_codex":0.0003475316,"about_ca_system_score_gemma":0.0002693556,"threshold_uncertainty_score":0.027708054},"labels":[],"label_agreement":null},{"id":"W3112055417","doi":"10.2139/ssrn.3533518","title":"Higher-Order Uncertainty in Financial Markets: Evidence from a Consensus Pricing Service","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Economic and Social Research Council; Systemic Risk Centre; London School of Economics and Political Science","keywords":"Order (exchange); Business; Financial market; Financial economics; Finance; Economics; Financial system","score_opus":0.03195398962475589,"score_gpt":0.22314058409390866,"score_spread":0.19118659446915276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112055417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97465634,0.00070611807,0.012702824,0.0013746448,0.00006488425,0.00004698114,0.0001880599,0.0001446453,0.010115624],"genre_scores_gemma":[0.9980319,0.0002373595,0.0008982474,0.00007301213,0.00005451485,0.0000109729635,0.00011355761,0.000026562133,0.00055399246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952527,0.00188204,0.00029338594,0.00050472387,0.0016267346,0.00044043074],"domain_scores_gemma":[0.69315106,0.25568992,0.018537961,0.015802179,0.013503223,0.0033156977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016407518,0.0004023722,0.0013513371,0.0019108834,0.0012628838,0.0041570375,0.002063856,0.0030279541,0.011279891],"category_scores_gemma":[0.17274055,0.0004418489,0.00093131646,0.0022521482,0.0024835959,0.007308231,0.0018850968,0.0034999677,0.0012905938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010173137,0.004013243,0.22574751,0.0007119408,0.0011688301,0.0012000416,0.0068588066,0.17463736,0.003131338,0.33446905,0.01661874,0.22127001],"study_design_scores_gemma":[0.0009868965,0.0010352696,0.1036889,0.00011209434,0.0004016665,0.00036831392,0.0024545796,0.41830865,0.00217404,0.46614653,0.0040479503,0.00027507846],"about_ca_topic_score_codex":0.006018656,"about_ca_topic_score_gemma":0.001919875,"teacher_disagreement_score":0.016407518,"about_ca_system_score_codex":0.0011319687,"about_ca_system_score_gemma":0.0011081446,"threshold_uncertainty_score":0.08677232},"labels":[],"label_agreement":null},{"id":"W3112389975","doi":"10.5430/ijfr.v11n6p318","title":"Transactions Volume, Exchange Direction and Asymmetry of Volatility in Emerging Market: Evidence From Tunisian Stock Exchange","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Contrarian; Economics; Stock exchange; Financial economics; Explanatory power; Econometrics; Monetary economics; Finance","score_opus":0.1253336523868116,"score_gpt":0.334831793322497,"score_spread":0.20949814093568542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112389975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979978,0.00058763573,0.000031905918,0.00018965415,0.000005892469,0.0000034061782,0.00019925783,0.0000014174115,0.0009829341],"genre_scores_gemma":[0.99864274,0.00047315317,0.000039834864,0.000030242347,0.000039758997,0.0000024711524,0.0004676307,0.0000012483316,0.00030286144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965477,0.00007823798,0.000052961594,0.000052621057,0.0001075726,0.000053910248],"domain_scores_gemma":[0.9960722,0.0011993818,0.0018581134,0.00015967753,0.0004730656,0.00023763174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009357143,0.00023140297,0.00028077365,0.0021778014,0.00042898636,0.0011043152,0.00028276318,0.0003849029,0.0025937252],"category_scores_gemma":[0.003255617,0.000114082126,0.00031515647,0.0018374196,0.0003733576,0.0010531598,0.0005082132,0.0005081865,0.00031702424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016936807,0.00010310116,0.987988,0.00005254424,0.00012087395,0.0005776828,0.0007943291,0.00015418565,0.0003759961,0.00045023978,0.00053121353,0.008682518],"study_design_scores_gemma":[0.0000078563135,0.00003701285,0.9978083,0.000018583562,0.000025541216,0.00013153518,0.00073548115,0.00042190464,0.00007508356,0.00009345333,0.00064076006,0.000004529711],"about_ca_topic_score_codex":0.016350133,"about_ca_topic_score_gemma":0.016832283,"teacher_disagreement_score":0.016350133,"about_ca_system_score_codex":0.00052248396,"about_ca_system_score_gemma":0.00034527606,"threshold_uncertainty_score":0.032509923},"labels":[],"label_agreement":null},{"id":"W3112845542","doi":"10.3390/jrfm13120311","title":"Regime-Switching Factor Investing with Hidden Markov Models","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hidden Markov model; Econometrics; Investment (military); Stock market; Benchmarking; Factor analysis; Portfolio; Computer science; Investment strategy; Sample (material); Economics; Financial economics; Artificial intelligence; Finance; Geography","score_opus":0.029594346588462415,"score_gpt":0.191923406232247,"score_spread":0.16232905964378458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112845542","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3627037,0.0009002808,0.63147706,0.00065456476,0.00011090261,0.000088413544,0.00041687654,0.0013890876,0.0022591285],"genre_scores_gemma":[0.961773,0.00023741441,0.035960477,0.00008889754,0.00005009594,0.000048323724,0.00040060567,0.000048608534,0.0013926021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925715,0.0003247965,0.000043641066,0.00019420082,0.00007605339,0.00010422147],"domain_scores_gemma":[0.9940054,0.0049530966,0.00040336917,0.00029692583,0.00023191415,0.00010935163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030644464,0.00089578674,0.0010904648,0.0010323668,0.0003494481,0.0009383641,0.0009953352,0.00095117034,0.0018341133],"category_scores_gemma":[0.008737781,0.0005867134,0.0012090327,0.00062202744,0.00055327435,0.0014388154,0.0006897552,0.0017362639,0.00037660933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020021788,0.00007777492,0.010438792,0.000038205326,0.00013717913,0.00007813057,0.00012224153,0.93351287,0.0006275259,0.007963661,0.00056025723,0.04624308],"study_design_scores_gemma":[0.000004137805,0.000014671499,0.0004130285,0.000003927602,0.000007608542,0.000006268221,0.0000040651394,0.99602985,0.0001120597,0.003335151,0.00006383818,0.0000054555517],"about_ca_topic_score_codex":0.011967558,"about_ca_topic_score_gemma":0.009130046,"teacher_disagreement_score":0.011967558,"about_ca_system_score_codex":0.0009093674,"about_ca_system_score_gemma":0.0007066446,"threshold_uncertainty_score":0.023795843},"labels":[],"label_agreement":null},{"id":"W3113821645","doi":"10.3390/jrfm13120329","title":"Inflation and Risky Investments","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Asset (computer security); Inflation (cosmology); Monetary economics; Rational expectations; Affect (linguistics); Fiat money; Financial economics; Financial market; Risk premium; Capital asset pricing model; Finance; Monetary policy; Econometrics","score_opus":0.01879825107014072,"score_gpt":0.19407013218401697,"score_spread":0.17527188111387626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113821645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91551214,0.0063135126,0.03531178,0.005307498,0.00012875412,0.00006343398,0.00035243173,0.00008967792,0.036920756],"genre_scores_gemma":[0.9951302,0.00085240597,0.00043345467,0.00007119094,0.000053900745,0.000008574529,0.000056337507,0.000004399198,0.0033895539],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995747,0.00015943934,0.00002771782,0.000056205856,0.00008186862,0.00009997461],"domain_scores_gemma":[0.99487984,0.0026192733,0.0017845233,0.00020583897,0.00021296521,0.00029743256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009970203,0.00033918585,0.00046241886,0.0004552534,0.0002377597,0.0022611518,0.00038908032,0.0015678357,0.0029567468],"category_scores_gemma":[0.007766869,0.00027319058,0.00036749567,0.00042534457,0.00075379695,0.001653295,0.00077788025,0.0014694296,0.0003261244],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091978477,0.00048069135,0.107326604,0.00025715888,0.00027985542,0.0026934966,0.0006800516,0.20033418,0.0026023523,0.6329066,0.0025441742,0.04897507],"study_design_scores_gemma":[0.00017509762,0.00058594625,0.05119524,0.00011527577,0.0001788028,0.0010605953,0.00037598622,0.2740906,0.0012057299,0.6641561,0.0067455093,0.00011509475],"about_ca_topic_score_codex":0.0010894535,"about_ca_topic_score_gemma":0.0006731395,"teacher_disagreement_score":0.0029567468,"about_ca_system_score_codex":0.0007322506,"about_ca_system_score_gemma":0.0004237074,"threshold_uncertainty_score":0.009891331},"labels":[],"label_agreement":null},{"id":"W3114209780","doi":"10.2139/ssrn.3749590","title":"Factor Investing using Capital Market Assumptions","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CARE Canada; University of Toronto","funders":"","keywords":"Capital (architecture); Economics; Business; Environmental science; Monetary economics; Econometrics; Financial economics; Geography","score_opus":0.05304547644792332,"score_gpt":0.22753807256832106,"score_spread":0.17449259612039775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114209780","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16193438,0.0020103934,0.7227937,0.0035432784,0.00027852718,0.00014535975,0.0013432706,0.00053993537,0.10741119],"genre_scores_gemma":[0.9246873,0.0017935797,0.02023134,0.00014460768,0.00023955484,0.00007829284,0.0005511636,0.000085129315,0.05218913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996669,0.00008195984,0.000021736778,0.00009479587,0.00005632609,0.0000782108],"domain_scores_gemma":[0.9973526,0.0017643782,0.00034070713,0.00023783647,0.00022448027,0.00007994021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015685576,0.0011964388,0.0013059904,0.000943009,0.00045966663,0.0021142613,0.0011966827,0.0019252744,0.012139139],"category_scores_gemma":[0.006876398,0.00049938983,0.0014027762,0.00082509714,0.0009958346,0.0051245675,0.0008584077,0.0015724623,0.0017625021],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010957874,0.000062330066,0.0017666873,0.00014992729,0.000045254288,0.0006240171,0.00012673602,0.3149035,0.00057667145,0.65562016,0.006983194,0.019031955],"study_design_scores_gemma":[0.00003175392,0.000036421225,0.00080223725,0.00003658561,0.00003302115,0.00018410415,0.000049587547,0.6125781,0.00042780009,0.38238853,0.0034103913,0.00002137474],"about_ca_topic_score_codex":0.0061806883,"about_ca_topic_score_gemma":0.0034634578,"teacher_disagreement_score":0.012139139,"about_ca_system_score_codex":0.0009212962,"about_ca_system_score_gemma":0.00065366324,"threshold_uncertainty_score":0.04060948},"labels":[],"label_agreement":null},{"id":"W3115530662","doi":"10.3390/jrfm14010003","title":"Multi-Period Portfolio Optimization with Investor Views under Regime Switching","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Black–Litterman model; Portfolio; Portfolio optimization; Asset allocation; Computer science; Rate of return on a portfolio; Investment strategy; Application portfolio management; Set (abstract data type); Trading strategy; Replicating portfolio; Asset (computer security); Investment performance; Investment (military); Mathematical optimization; Econometrics; Project portfolio management; Economics; Return on investment; Microeconomics; Financial economics; Market liquidity; Mathematics; Finance","score_opus":0.03150175869865192,"score_gpt":0.2088676145482674,"score_spread":0.1773658558496155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115530662","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043458335,0.0002116855,0.95341843,0.00033377795,0.000027261602,0.00002184777,0.00008483226,0.00012782711,0.0023160544],"genre_scores_gemma":[0.9244705,0.0001910732,0.07166297,0.00009747446,0.000051333314,0.000102608035,0.000114637514,0.00005252935,0.0032569375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909675,0.00039926262,0.000032076743,0.00019089061,0.00017362366,0.000107372594],"domain_scores_gemma":[0.99827456,0.00097106467,0.00038432074,0.00013642568,0.00012837573,0.00010533205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024870194,0.00087403244,0.0013929636,0.00035710578,0.000263696,0.0017317804,0.0013531349,0.001311029,0.0016696134],"category_scores_gemma":[0.004103562,0.0007242899,0.0010630798,0.00047757063,0.0008758094,0.0018212767,0.0013579517,0.0017137857,0.00019182176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034550078,0.000013261808,0.000341127,0.000011614245,0.00002733595,0.000036148893,0.00002263791,0.98290837,0.0004197254,0.012513467,0.00014114074,0.00353057],"study_design_scores_gemma":[0.0000035675123,0.000007345627,0.00004231,0.0000010642577,0.0000025868408,0.0000026587102,0.0000012958607,0.9971374,0.000053691423,0.0026975637,0.000047749905,0.0000027708109],"about_ca_topic_score_codex":0.0026336696,"about_ca_topic_score_gemma":0.0016130758,"teacher_disagreement_score":0.0026336696,"about_ca_system_score_codex":0.0008768941,"about_ca_system_score_gemma":0.0008849048,"threshold_uncertainty_score":0.013152778},"labels":[],"label_agreement":null},{"id":"W3116033380","doi":"10.1080/02102412.2020.1863126","title":"Liquidity level or liquidity risk? A fresh look with new measures","year":2020,"lang":"es","type":"article","venue":"Spanish Journal of Finance and Accounting / Revista Española de Financiación y Contabilidad","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"University of Alberta","keywords":"Market liquidity; Liquidity risk; Business; Financial system; Monetary economics; Economics; Finance","score_opus":0.04249974506907112,"score_gpt":0.23514456076523949,"score_spread":0.19264481569616837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116033380","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012145695,0.8336915,0.016510885,0.1214291,0.0062549394,0.000039808685,0.0004727691,0.00007439618,0.009380893],"genre_scores_gemma":[0.21501634,0.6362148,0.03356889,0.042638235,0.06279022,0.00023518638,0.0010071199,0.00032307708,0.008206126],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99564195,0.0020204398,0.000617814,0.00072823645,0.00085886713,0.00013275507],"domain_scores_gemma":[0.94896644,0.03814035,0.0036710682,0.002652784,0.005845871,0.0007235014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012175383,0.0021028016,0.0035243512,0.0089445505,0.0008512569,0.008641968,0.002742607,0.0028520569,0.0062468895],"category_scores_gemma":[0.04220577,0.00086509733,0.002193929,0.008253125,0.009852917,0.03383374,0.003174327,0.01297593,0.0011160573],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007441097,0.00047211064,0.03724729,0.0063039884,0.0015829697,0.00068477646,0.0047984147,0.0028099725,0.0018523494,0.35212794,0.070880644,0.5204954],"study_design_scores_gemma":[0.00013544662,0.0006876907,0.04427855,0.009423847,0.00043206275,0.00086985825,0.006492587,0.005979723,0.0010680396,0.5951193,0.33487993,0.00063300494],"about_ca_topic_score_codex":0.0037758313,"about_ca_topic_score_gemma":0.0026819508,"teacher_disagreement_score":0.012175383,"about_ca_system_score_codex":0.0022442418,"about_ca_system_score_gemma":0.0009925271,"threshold_uncertainty_score":0.06439036},"labels":[],"label_agreement":null},{"id":"W3116613610","doi":"10.3390/econometrics9010001","title":"Regularized Maximum Diversification Investment Strategy","year":2020,"lang":"en","type":"article","venue":"Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Sharpe ratio; Portfolio; Econometrics; Covariance matrix; Diversification (marketing strategy); Portfolio optimization; Mathematics; Market portfolio; Covariance; Investment strategy; Economics; Mathematical optimization; Computer science; Statistics; Capital asset pricing model; Financial economics; Finance; Business","score_opus":0.0938337129060445,"score_gpt":0.2110520457036113,"score_spread":0.1172183327975668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116613610","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08830944,0.0006188551,0.90013844,0.00045355884,0.00005487871,0.0001069581,0.00011832207,0.0004540479,0.0097454935],"genre_scores_gemma":[0.82980096,0.00023137745,0.16293532,0.00028331092,0.000059278424,0.0001721003,0.0001828176,0.000072929,0.0062619303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994753,0.0001895486,0.00002844432,0.00010586666,0.00013467352,0.00006621302],"domain_scores_gemma":[0.9989994,0.0005123683,0.0001465068,0.000108832995,0.00016940798,0.00006339975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012155767,0.0005961751,0.0012725075,0.0005591465,0.00019105458,0.0008327405,0.00094823405,0.0010874714,0.0024484606],"category_scores_gemma":[0.0041944887,0.0002748692,0.00045139797,0.00038966196,0.0005940265,0.00075836503,0.0006045587,0.00065525156,0.00045354245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021544765,0.00010702305,0.0014193886,0.0001004166,0.00010686966,0.00023587,0.00006966402,0.8322448,0.004161632,0.04974143,0.0042675706,0.10732982],"study_design_scores_gemma":[0.000020310144,0.000038135524,0.0001928804,0.000009659142,0.000009493091,0.000042004005,0.000003757694,0.98851925,0.0005377138,0.01005035,0.0005703353,0.000006028056],"about_ca_topic_score_codex":0.0009125586,"about_ca_topic_score_gemma":0.00081765815,"teacher_disagreement_score":0.0024484606,"about_ca_system_score_codex":0.00060023397,"about_ca_system_score_gemma":0.0007881547,"threshold_uncertainty_score":0.00819093},"labels":[],"label_agreement":null},{"id":"W3117749826","doi":"10.2139/ssrn.3351269","title":"Do Speed Bumps Curb Speed Investment? Evidence from a Pilot Experiment","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Investment (military); Latency (audio); Business; Algorithmic trading; High-frequency trading; Monetary economics; Economics; Computer science; Finance; Telecommunications","score_opus":0.03974254017363641,"score_gpt":0.24239869677640682,"score_spread":0.20265615660277042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117749826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990213,0.00077328476,0.0008927661,0.0014600153,0.00036299147,0.00045961884,0.00030080712,0.00009605227,0.005441527],"genre_scores_gemma":[0.99048865,0.0007207094,0.0020050956,0.0010997716,0.00023083176,0.0007250008,0.00028150808,0.000066742985,0.0043816455],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99854445,0.0006303439,0.00011435893,0.00028259036,0.00026484043,0.00016342946],"domain_scores_gemma":[0.952954,0.035330966,0.0050770575,0.003608753,0.00067671185,0.0023525439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052034236,0.00095094607,0.0011057431,0.0004152461,0.0006234546,0.001412195,0.0014667964,0.003661396,0.027112098],"category_scores_gemma":[0.04162652,0.00097614614,0.0006529167,0.00031851232,0.0013859926,0.0019943824,0.0009978632,0.0030554947,0.0034149284],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.400139,0.20605443,0.06621588,0.003230692,0.0023479564,0.0011717568,0.0025896062,0.0067591066,0.027046572,0.016407263,0.031632505,0.2364052],"study_design_scores_gemma":[0.18954162,0.41650397,0.25535393,0.0010608695,0.004823864,0.0011673946,0.002650916,0.021179527,0.015709933,0.047281697,0.04430995,0.0004163115],"about_ca_topic_score_codex":0.0013972059,"about_ca_topic_score_gemma":0.0010062769,"teacher_disagreement_score":0.027112098,"about_ca_system_score_codex":0.00040908068,"about_ca_system_score_gemma":0.0007766907,"threshold_uncertainty_score":0.09069902},"labels":[],"label_agreement":null},{"id":"W3117883207","doi":"10.29121/granthaalayah.v4.i7.2016.2605","title":"ARBITRAGE PRICING MODEL IN RELATION TO EFFICIENT MARKET HYPOTHESES","year":2016,"lang":"en","type":"article","venue":"International Journal of Research -GRANTHAALAYAH","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Stock exchange; Econometrics; Exchange rate; Interest rate; Financial economics; Stock (firearms); Stock market; Efficient-market hypothesis; Arbitrage; Monetary economics; Finance","score_opus":0.08042309715727117,"score_gpt":0.3215996361043816,"score_spread":0.2411765389471104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117883207","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4713228,0.0008373612,0.49476674,0.003032908,0.00015979215,0.00023705083,0.00022706627,0.0003177098,0.029098526],"genre_scores_gemma":[0.97859645,0.00028353126,0.013035967,0.00011154698,0.00012770716,0.0001344017,0.00014323092,0.00003986858,0.0075272536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974847,0.0011460677,0.00012311157,0.00039134469,0.00043027,0.00042463472],"domain_scores_gemma":[0.98653895,0.009844711,0.0016429351,0.00066294405,0.0009208,0.00038957607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068139085,0.00074688473,0.0015528329,0.0012982072,0.0006533829,0.0032712657,0.0016878552,0.0016575995,0.007807906],"category_scores_gemma":[0.027377144,0.00041853148,0.0013966924,0.00084688317,0.002504017,0.004122633,0.0015731615,0.0019508268,0.00071293296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110628025,0.00015947217,0.006761389,0.00012890923,0.00010813451,0.00084258016,0.0006289572,0.21677244,0.0009668137,0.7604783,0.0015693618,0.0114730485],"study_design_scores_gemma":[0.00003357849,0.000059094735,0.0011234641,0.000012604478,0.000021713819,0.000104499835,0.00005200679,0.8494271,0.00017718357,0.14848584,0.00048266852,0.000020170963],"about_ca_topic_score_codex":0.0016522903,"about_ca_topic_score_gemma":0.00057477277,"teacher_disagreement_score":0.007807906,"about_ca_system_score_codex":0.0007872454,"about_ca_system_score_gemma":0.0011660669,"threshold_uncertainty_score":0.036035836},"labels":[],"label_agreement":null},{"id":"W3118426285","doi":"10.1016/j.jbankfin.2020.106041","title":"How to measure the liquidity of cryptocurrency markets?","year":2021,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Karl-Franzens-Universität Graz","keywords":"Market liquidity; Cryptocurrency; Estimator; Econometrics; Economics; Volatility (finance); Accounting liquidity; Liquidity premium; Benchmark (surveying); High-frequency trading; Realized variance; Financial economics; Liquidity risk; Monetary economics; Computer science; Statistics; Mathematics","score_opus":0.038470505492786716,"score_gpt":0.2220045903439607,"score_spread":0.18353408485117398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118426285","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53973955,0.039298348,0.39008012,0.012829938,0.000943599,0.0002167759,0.0027354166,0.0009248783,0.013231357],"genre_scores_gemma":[0.94471425,0.0027678744,0.04957125,0.00045506435,0.0005367519,0.00009174348,0.000760762,0.000066605615,0.0010357434],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978836,0.00087666017,0.00023975494,0.0003733855,0.0005047066,0.00012188186],"domain_scores_gemma":[0.98500735,0.007878408,0.0034705915,0.0011635284,0.002031652,0.0004484775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005784943,0.0010306048,0.0009543929,0.0037780183,0.0004260797,0.003624462,0.0011609559,0.001488079,0.0016912034],"category_scores_gemma":[0.03699994,0.00029756926,0.00041958407,0.0028729953,0.0014456292,0.008474315,0.0012807387,0.0015025845,0.00086194597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044470618,0.00025461442,0.3587409,0.0014320567,0.0010103455,0.00018428797,0.00088920246,0.03936078,0.010717752,0.051440395,0.0087855,0.5267394],"study_design_scores_gemma":[0.00022047317,0.0011113271,0.30531615,0.002322594,0.0005089713,0.0014019975,0.0026819126,0.33950797,0.026017686,0.2894181,0.030750854,0.0007418771],"about_ca_topic_score_codex":0.001909696,"about_ca_topic_score_gemma":0.0013492235,"teacher_disagreement_score":0.005784943,"about_ca_system_score_codex":0.00053162395,"about_ca_system_score_gemma":0.0005616142,"threshold_uncertainty_score":0.03059405},"labels":[],"label_agreement":null},{"id":"W3118455924","doi":"10.3390/jrfm14010029","title":"Reference Prices and Turnover: Evidence from Small-Capitalization Stocks","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reference price; Economics; Market liquidity; Loss aversion; Financial economics; Mid price; Capitalization; Market capitalization; Portfolio; Microeconomics; Monetary economics; Business; Econometrics; Price level; Stock market","score_opus":0.03228211015193889,"score_gpt":0.2112506277774434,"score_spread":0.17896851762550453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118455924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998643,0.00021731635,0.00007436402,0.000089247544,0.000004540419,0.000004082025,0.00009951498,0.0000015229051,0.0008664708],"genre_scores_gemma":[0.9994,0.00011114777,0.00003731341,0.000037209647,0.0000128902375,0.0000027679152,0.00019506243,0.0000012336127,0.00020241023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918467,0.00020162958,0.00010676854,0.00016647938,0.00020705358,0.0001334146],"domain_scores_gemma":[0.9787264,0.0058720494,0.011531828,0.0014205406,0.00094177003,0.0015073601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014319931,0.00020525571,0.00032023355,0.0010228686,0.0006139905,0.0014141694,0.0007545566,0.00079750206,0.003689733],"category_scores_gemma":[0.011632956,0.00023808001,0.00041561402,0.0012112412,0.0008269417,0.0010364901,0.0008306867,0.0011236394,0.0004991776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017016087,0.00021430697,0.995131,0.000014362629,0.00008909047,0.00013762225,0.00051031145,0.000063147076,0.00014623556,0.0002121632,0.00014699451,0.003164583],"study_design_scores_gemma":[0.000006825864,0.00007520444,0.99856013,0.000008505398,0.000035504585,0.000079302066,0.00050723396,0.00022221985,0.000098728786,0.00019133798,0.00020913924,0.0000058467845],"about_ca_topic_score_codex":0.009461139,"about_ca_topic_score_gemma":0.0095455265,"teacher_disagreement_score":0.009461139,"about_ca_system_score_codex":0.00027510987,"about_ca_system_score_gemma":0.000272475,"threshold_uncertainty_score":0.01881212},"labels":[],"label_agreement":null},{"id":"W3118475078","doi":"10.5430/rwe.v12n1p189","title":"Market's Reaction to Analytical Information From Brokerage Institutions: Empirical Evidence From Stock Market in Vietnam","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Vietnamese; Portfolio; Financial economics; Security market; Economics; Stock (firearms); Business; Monetary economics; Finance; Engineering","score_opus":0.21533148384058648,"score_gpt":0.36714359455815554,"score_spread":0.15181211071756906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118475078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981158,0.0000870493,0.000031786287,0.00012082027,0.00000428986,0.000007103649,0.00003227355,8.0959694e-7,0.0016000513],"genre_scores_gemma":[0.99947935,0.00010080148,0.0000315169,0.00003203466,0.00000926916,0.00000163082,0.000049756698,8.4989307e-7,0.00029473504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993197,0.00020997926,0.00006993187,0.000078438155,0.00023050432,0.000091496026],"domain_scores_gemma":[0.98396575,0.007337975,0.005728396,0.0005101607,0.0016896458,0.0007681471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015385814,0.0001129486,0.00018531142,0.0006538798,0.0003717067,0.0013885146,0.00020580598,0.00044819468,0.0022819499],"category_scores_gemma":[0.013141132,0.00012097105,0.00015835935,0.0005893784,0.00043402397,0.0009904323,0.00041462627,0.00054265803,0.0002376704],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002940183,0.00024699653,0.97605735,0.00007998105,0.000076753626,0.0007344603,0.006328827,0.0003271305,0.0014928839,0.00070324517,0.00055210927,0.01310627],"study_design_scores_gemma":[0.000019863493,0.00024212677,0.98458546,0.000031660566,0.00004964375,0.00021766247,0.009763169,0.0021432186,0.00082723727,0.0003130068,0.0017900305,0.000016912032],"about_ca_topic_score_codex":0.014083867,"about_ca_topic_score_gemma":0.01029837,"teacher_disagreement_score":0.014083867,"about_ca_system_score_codex":0.000612768,"about_ca_system_score_gemma":0.00050457445,"threshold_uncertainty_score":0.028003752},"labels":[],"label_agreement":null},{"id":"W3118543521","doi":"10.3386/w28306","title":"Event-day Options","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fudan University; McGill University","keywords":"Event (particle physics); Computer science; Physics","score_opus":0.3998245598798855,"score_gpt":0.4529303966644939,"score_spread":0.053105836784608396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118543521","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24591714,0.005233505,0.52766305,0.0049368823,0.0014212994,0.00018838892,0.0045346213,0.0008803508,0.20922478],"genre_scores_gemma":[0.9355462,0.0012449524,0.020048453,0.00028920916,0.0003862624,0.00009674552,0.0017435947,0.000108355845,0.040536314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994717,0.00019926876,0.000019773774,0.000097791504,0.00012575503,0.00008581533],"domain_scores_gemma":[0.99883,0.0005184975,0.0001537569,0.00019830506,0.000109543595,0.00018994811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012672003,0.0007156572,0.0005113278,0.00046607215,0.0005034565,0.0023270105,0.0015795518,0.0018458316,0.025529042],"category_scores_gemma":[0.004474752,0.00026438577,0.0008690386,0.0008823103,0.0005085652,0.002851242,0.00084608345,0.0013676943,0.0019658334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019660707,0.0002159094,0.0051459107,0.00007390308,0.00011980117,0.00031203878,0.00013132274,0.0917743,0.0009163771,0.8603902,0.008339107,0.032384574],"study_design_scores_gemma":[0.00006873417,0.00013787647,0.0038959335,0.000037564925,0.00005331705,0.0005214899,0.00016231881,0.30530784,0.0009807774,0.63970715,0.04906052,0.000066440574],"about_ca_topic_score_codex":0.001150678,"about_ca_topic_score_gemma":0.0011710692,"teacher_disagreement_score":0.025529042,"about_ca_system_score_codex":0.00045801242,"about_ca_system_score_gemma":0.00035132185,"threshold_uncertainty_score":0.085403204},"labels":[],"label_agreement":null},{"id":"W3119150975","doi":"10.2139/ssrn.3717722","title":"Climate Change Concerns and the Performance of Green Versus Brown Stocks","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Climate change; Cash flow; Newspaper; Construct (python library); Stock (firearms); Economics; Natural resource economics; Econometrics; Financial economics; Business; Finance; Ecology; Geography; Advertising; Computer science","score_opus":0.04318043048313832,"score_gpt":0.22128966850284507,"score_spread":0.17810923801970674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119150975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911096,0.0005259778,0.00008186527,0.0010071176,0.000047705573,0.0000042770075,0.00020802348,0.000006373166,0.007008959],"genre_scores_gemma":[0.9987733,0.000115291616,0.000014397558,0.00008437313,0.000039869414,7.020059e-7,0.00013227506,0.0000028138109,0.0008370508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997569,0.000032805605,0.00002138526,0.000032728763,0.00007895575,0.00007741894],"domain_scores_gemma":[0.9944258,0.0008124574,0.00298134,0.00014532724,0.0007272886,0.0009079164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010263373,0.00018132005,0.00020428046,0.00086165895,0.0005087332,0.0024556804,0.0002598141,0.0010165767,0.0031422907],"category_scores_gemma":[0.0061499863,0.000078544625,0.00022531899,0.0010038428,0.0006917614,0.0016359822,0.00074951863,0.0007647521,0.00047265098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010604379,0.00017102492,0.96733016,0.000044389668,0.00022638502,0.0003967683,0.0005930753,0.0024473553,0.0018729366,0.009334328,0.003036098,0.013487042],"study_design_scores_gemma":[0.0000240186,0.0002743501,0.9834404,0.000026689408,0.00007310733,0.00012354623,0.0017397184,0.00332963,0.0013510747,0.0050541977,0.004529156,0.000034019467],"about_ca_topic_score_codex":0.011263184,"about_ca_topic_score_gemma":0.018925304,"teacher_disagreement_score":0.011263184,"about_ca_system_score_codex":0.00096643984,"about_ca_system_score_gemma":0.00041600148,"threshold_uncertainty_score":0.022395253},"labels":[],"label_agreement":null},{"id":"W3119206636","doi":"10.2139/ssrn.3708140","title":"How Do Options Add Value? Evidence from the Convertible Bond Market","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Convertible bond; Convertible; Convertible arbitrage; Business; Embedded option; Financial economics; Value (mathematics); Market value; Actuarial science; Bond; Economics; Finance; Computer science; Capital asset pricing model","score_opus":0.03299150187473788,"score_gpt":0.21013721086490716,"score_spread":0.1771457089901693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119206636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8378437,0.011347619,0.0015055477,0.016881801,0.00024246347,0.0000345337,0.0007426413,0.000042246334,0.13135938],"genre_scores_gemma":[0.99086446,0.0030079726,0.00022096091,0.0006680242,0.00017549716,0.0000047502913,0.00022960681,0.000011840744,0.0048169075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992767,0.00022584402,0.00004448214,0.00008323549,0.00028105374,0.00008881318],"domain_scores_gemma":[0.9727585,0.019451758,0.0035964784,0.001450074,0.0016899782,0.0010531767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023303297,0.00039013347,0.0005224927,0.0008181796,0.00060525857,0.0040007415,0.0010481246,0.0021236916,0.018849993],"category_scores_gemma":[0.027630297,0.00028550078,0.00031962688,0.001124436,0.002075893,0.005453608,0.00101643,0.002996173,0.0015723447],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010600553,0.002718155,0.20589082,0.0012039719,0.0009864559,0.0025040673,0.0029923923,0.0069574676,0.0032086298,0.42684275,0.03285079,0.30324405],"study_design_scores_gemma":[0.0019602084,0.0012393324,0.35035518,0.00069637207,0.0011516408,0.0013766908,0.0065607564,0.0084606055,0.003775523,0.52248013,0.10177156,0.00017198839],"about_ca_topic_score_codex":0.0028716542,"about_ca_topic_score_gemma":0.002600463,"teacher_disagreement_score":0.018849993,"about_ca_system_score_codex":0.00046734852,"about_ca_system_score_gemma":0.00037031615,"threshold_uncertainty_score":0.06305951},"labels":[],"label_agreement":null},{"id":"W3119381069","doi":"10.1007/s11156-020-00950-5","title":"Distress risk puzzle and analyst forecast optimism","year":2021,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Hong Kong Polytechnic University","keywords":"Optimism; Earnings; Distress; Financial distress; Corporate finance; Actuarial science; Business; Economics; Quarter (Canadian coin); Financial economics; Finance; Psychology; Financial system; Social psychology","score_opus":0.03729966134555983,"score_gpt":0.2648536426562719,"score_spread":0.22755398131071208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119381069","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24440354,0.44273958,0.03928681,0.22824234,0.0025922433,0.000027294185,0.0010109083,0.00018337273,0.041513957],"genre_scores_gemma":[0.8999083,0.08341702,0.0025854083,0.0036901035,0.0061864587,0.00001408398,0.00028159286,0.000031407468,0.0038855458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99934596,0.0002225995,0.000046573365,0.00014688633,0.00019048972,0.000047434187],"domain_scores_gemma":[0.98577756,0.0093889935,0.002679451,0.0005826004,0.001251941,0.00031939798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003260405,0.0004121454,0.0008133759,0.0010361347,0.0003503873,0.0033906745,0.0007893652,0.0026224847,0.00225601],"category_scores_gemma":[0.034442805,0.00030196414,0.0003085351,0.0014070616,0.0016189427,0.0043393467,0.00074761285,0.00390867,0.0003341696],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008629806,0.00014567193,0.03749803,0.0009377787,0.0006244623,0.0008000344,0.00090147665,0.04372103,0.0022737733,0.5658114,0.059862163,0.28656116],"study_design_scores_gemma":[0.00008163667,0.0000538359,0.03349262,0.00027947963,0.00011004772,0.00029716257,0.00030273356,0.027012011,0.0002995338,0.9159877,0.022003569,0.00007964425],"about_ca_topic_score_codex":0.0016826149,"about_ca_topic_score_gemma":0.0013063324,"teacher_disagreement_score":0.0033906745,"about_ca_system_score_codex":0.0010270381,"about_ca_system_score_gemma":0.0006057142,"threshold_uncertainty_score":0.017242849},"labels":[],"label_agreement":null},{"id":"W3119443671","doi":"10.1111/j.1368-423x.2007.00213.x","title":"Bayesian inference for the mixed conditional heteroskedasticity model","year":2007,"lang":"en","type":"preprint","venue":"Econometrics Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Gibbs sampling; Inference; Heteroscedasticity; Bayesian inference; Econometrics; Bayesian probability; Mathematics; Marginal likelihood; Statistics; Computer science; Artificial intelligence","score_opus":0.12188184701513576,"score_gpt":0.28298858849842234,"score_spread":0.16110674148328658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119443671","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017212586,0.0005937053,0.9788851,0.0007800381,0.000050492195,0.000036177218,0.0005021062,0.0003490004,0.0015907633],"genre_scores_gemma":[0.7000721,0.001459753,0.28627136,0.0005617329,0.0004315658,0.00039646612,0.00225537,0.0004908466,0.008060789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9948186,0.0033510346,0.0001794826,0.0007654985,0.0006193771,0.00026598055],"domain_scores_gemma":[0.97723436,0.019258106,0.0011071154,0.0011865093,0.0009451254,0.0002687167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010520312,0.0009244684,0.0023947775,0.0017600424,0.0008193623,0.0024557763,0.002636058,0.0016943072,0.0073388135],"category_scores_gemma":[0.043083526,0.0012527549,0.0017063348,0.0019331982,0.0019471537,0.0032595154,0.0017450667,0.003514438,0.0012206214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017165342,0.00009315917,0.0047797244,0.00020144769,0.00038495797,0.00018051421,0.00015637049,0.4858072,0.00066866935,0.46121088,0.0055239666,0.040821463],"study_design_scores_gemma":[0.000030975658,0.000011739365,0.0007290998,0.000033635242,0.00003266201,0.00003345577,0.000013816862,0.7353357,0.00020839962,0.26263645,0.0009095276,0.000024595822],"about_ca_topic_score_codex":0.010671156,"about_ca_topic_score_gemma":0.010996113,"teacher_disagreement_score":0.010671156,"about_ca_system_score_codex":0.0018402622,"about_ca_system_score_gemma":0.001979099,"threshold_uncertainty_score":0.05563736},"labels":[],"label_agreement":null},{"id":"W3120049482","doi":"10.1002/ijfe.2415","title":"The profitability of pair trading strategy in stock markets: Evidence from Toronto stock exchange","year":2021,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Statistical arbitrage; Profitability index; Pairs trade; Trading strategy; Speculation; Arbitrage; Financial economics; Economics; Stock exchange; Portfolio; Market maker; Algorithmic trading; Profit (economics); Copula (linguistics); Open outcry; Stock (firearms); Futures contract; Business; Alternative trading system; Stock market; Risk arbitrage; Finance; Microeconomics; Econometrics; Capital asset pricing model; Arbitrage pricing theory","score_opus":0.05460589900787758,"score_gpt":0.2650995225475273,"score_spread":0.2104936235396497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120049482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806076,0.00021783644,0.0000792228,0.00009893779,0.0000033372974,0.0000041945086,0.0003017425,0.0000037148247,0.0012302373],"genre_scores_gemma":[0.9993051,0.000079072786,0.00003073762,0.0000052577648,0.000003946813,0.0000010502599,0.0003410518,0.0000011604338,0.00023264624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953103,0.000094837946,0.000036869777,0.00007343628,0.00019906634,0.00006480902],"domain_scores_gemma":[0.99537224,0.001558898,0.0014915743,0.00030301613,0.0006448968,0.0006294425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084011414,0.00020184633,0.0002551448,0.0011916612,0.00051007845,0.0015930875,0.00032980635,0.00033978443,0.0019146139],"category_scores_gemma":[0.0059897364,0.00012305242,0.00021286361,0.0012854327,0.00066499464,0.0008769701,0.00079963804,0.0004224765,0.0002407241],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000325973,0.0000629701,0.9827659,0.000035794015,0.00014637834,0.00041949193,0.00081598636,0.0019357064,0.0005045551,0.001613332,0.001575947,0.009797893],"study_design_scores_gemma":[0.000014085784,0.00006457819,0.9892246,0.000012003172,0.00005021404,0.0000981559,0.0014854961,0.0075772293,0.00027649692,0.00033614805,0.00084531505,0.000015724334],"about_ca_topic_score_codex":0.16653858,"about_ca_topic_score_gemma":0.2080844,"teacher_disagreement_score":0.8334614,"about_ca_system_score_codex":0.0020252918,"about_ca_system_score_gemma":0.0006366349,"threshold_uncertainty_score":0.3311385},"labels":[],"label_agreement":null},{"id":"W3120780672","doi":"10.1007/s11156-020-00948-z","title":"Institutional underperformance: Should managers listen to the sell-side before trading?","year":2021,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Institutional investor; Corporate finance; Context (archaeology); Business; Quarter (Canadian coin); Investment (military); Financial economics; Monetary economics; Accounting; Economics; Finance; Political science; Corporate governance","score_opus":0.06662280743190153,"score_gpt":0.2880619345297211,"score_spread":0.2214391270978196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120780672","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18097407,0.04188906,0.009483863,0.7223721,0.006524472,0.000042791613,0.00013516177,0.00016362876,0.03841488],"genre_scores_gemma":[0.9069573,0.014066249,0.0017154538,0.063867144,0.009919654,0.00004109102,0.000051620264,0.00009368239,0.0032877398],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99264354,0.0031685364,0.000457836,0.0005390774,0.0018443278,0.00134666],"domain_scores_gemma":[0.9478654,0.019832594,0.0139326975,0.0023050597,0.006487811,0.00957652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013777231,0.0002180033,0.00059501646,0.000627577,0.0013107319,0.006136286,0.0009916098,0.003338057,0.0034608392],"category_scores_gemma":[0.062924035,0.00020664165,0.00019092966,0.000738081,0.006524922,0.0048058876,0.0020335054,0.006120475,0.0008315896],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005875843,0.0004910736,0.09047929,0.0009259019,0.00023305336,0.001233061,0.01054255,0.0008716212,0.003066384,0.08989097,0.1511231,0.65055543],"study_design_scores_gemma":[0.00026690037,0.0006489911,0.23759572,0.004208897,0.00021357831,0.0018575429,0.030055068,0.0027962478,0.003457617,0.439062,0.2795216,0.00031575066],"about_ca_topic_score_codex":0.0016397444,"about_ca_topic_score_gemma":0.0034425193,"teacher_disagreement_score":0.013777231,"about_ca_system_score_codex":0.0014704088,"about_ca_system_score_gemma":0.004545499,"threshold_uncertainty_score":0.07286179},"labels":[],"label_agreement":null},{"id":"W3121140277","doi":"10.1093/rof/rft035","title":"Cash Holdings and Mutual Fund Performance","year":2013,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Business; Cash and cash equivalents; Cash on cash return; Cash management; Finance; Operating cash flow; Cash flow statement; Cash; Cash flow forecasting; Mutual fund; Closed-end fund; Monetary economics; Economics; Market liquidity","score_opus":0.051206000882037306,"score_gpt":0.2100251611625829,"score_spread":0.1588191602805456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121140277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919933,0.001789657,0.00014514371,0.00028334517,0.000007725749,0.000003791035,0.00015817423,0.000010731706,0.0056081326],"genre_scores_gemma":[0.99921966,0.00020839428,0.000029761235,0.0000048362863,0.000009793205,7.720323e-7,0.00006815702,5.3871935e-7,0.0004580881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997105,0.000086889726,0.000029439088,0.00002584855,0.0000910705,0.000056256504],"domain_scores_gemma":[0.99174964,0.0019479339,0.0050141094,0.00013260447,0.00043731465,0.000718499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008938646,0.00018331327,0.00014673962,0.000924294,0.00014272456,0.00115493,0.00017392615,0.00034499675,0.0033835196],"category_scores_gemma":[0.0058625313,0.00005329784,0.00012969055,0.00078775303,0.00031559422,0.00061648636,0.00048565387,0.00023945386,0.00035845579],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004752701,0.00012616513,0.9513207,0.00008315444,0.00024511735,0.00026937417,0.0002200567,0.004820189,0.0010031933,0.0066292584,0.0015936597,0.03321392],"study_design_scores_gemma":[0.000017291151,0.000237922,0.9879239,0.00006204938,0.00007680944,0.00025495427,0.0003769369,0.0033135987,0.00065177295,0.0042619044,0.0028042633,0.000018625346],"about_ca_topic_score_codex":0.0023045966,"about_ca_topic_score_gemma":0.0014945946,"teacher_disagreement_score":0.0033835196,"about_ca_system_score_codex":0.00055419933,"about_ca_system_score_gemma":0.00022628954,"threshold_uncertainty_score":0.011318982},"labels":[],"label_agreement":null},{"id":"W3121158720","doi":"10.1016/j.econlet.2004.12.011","title":"Myopic loss aversion: Information feedback vs. investment flexibility","year":2005,"lang":"en","type":"article","venue":"Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Loss aversion; Flexibility (engineering); Economics; Investment (military); Microeconomics; Econometrics","score_opus":0.018281309793434848,"score_gpt":0.18951124122633656,"score_spread":0.17122993143290172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121158720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56517124,0.0024194801,0.33013767,0.01952729,0.00045114625,0.00010742588,0.0003610428,0.00025076326,0.08157404],"genre_scores_gemma":[0.9944851,0.00038905887,0.0023161443,0.00035000592,0.00015357148,0.000015588512,0.000015438523,0.000011822234,0.0022634156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989722,0.00038302544,0.000057337966,0.00019010347,0.00016753773,0.00022989647],"domain_scores_gemma":[0.98584545,0.010055191,0.001907925,0.0010108879,0.0005496616,0.0006308444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041012163,0.00075401715,0.0011361414,0.0004880062,0.00036813715,0.002840067,0.0009847522,0.0024197418,0.008482243],"category_scores_gemma":[0.020081654,0.00043826483,0.00068401615,0.00041713662,0.0017539073,0.0039669587,0.001375868,0.0025381856,0.00041494617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008845227,0.0002319958,0.0038148044,0.00035894228,0.00018354671,0.0007031557,0.00026510019,0.14295657,0.006349739,0.7915318,0.004491713,0.048228092],"study_design_scores_gemma":[0.00012054569,0.00018093789,0.0024258113,0.000054575677,0.000072364564,0.0002338123,0.0001220574,0.21465161,0.0009520778,0.7802137,0.0009234351,0.000049086477],"about_ca_topic_score_codex":0.000601458,"about_ca_topic_score_gemma":0.00037459022,"teacher_disagreement_score":0.008482243,"about_ca_system_score_codex":0.001065017,"about_ca_system_score_gemma":0.00070025783,"threshold_uncertainty_score":0.028375924},"labels":[],"label_agreement":null},{"id":"W3121161351","doi":"10.1287/mnsc.2013.1887","title":"Do Temporary Increases in Information Asymmetry Affect the Cost of Equity?","year":2014,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Information asymmetry; Adverse selection; Market liquidity; Portfolio; Equity (law); Private information retrieval; Monetary economics; Economics; Stock (firearms); Quarter (Canadian coin); Affect (linguistics); Factor analysis of information risk; Business; Financial economics; Finance; Risk management information systems; Information system","score_opus":0.028132591315443455,"score_gpt":0.24548177953591074,"score_spread":0.21734918822046728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121161351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843018,0.00065088685,0.00094693847,0.0012206212,0.000025229774,0.000014091558,0.00024396341,0.000022298793,0.012574213],"genre_scores_gemma":[0.9989801,0.0001586278,0.000081227954,0.00007242845,0.000019920844,0.0000026354926,0.000054213924,0.0000041925864,0.00062663463],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967635,0.00005720065,0.00002861739,0.00005169896,0.0000782743,0.00010781424],"domain_scores_gemma":[0.98331267,0.006248711,0.0077403253,0.00095309457,0.000666113,0.0010790742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009249529,0.00014449639,0.00029376356,0.00065528805,0.0003040046,0.0023035675,0.00030356323,0.0008806138,0.007152978],"category_scores_gemma":[0.013760467,0.00022140521,0.00030642972,0.0006048959,0.0007611688,0.002117466,0.00061277184,0.0010268384,0.0005036898],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016233707,0.00081950345,0.8666458,0.00016111393,0.0002760866,0.0012357635,0.0011490758,0.00880167,0.009077706,0.035331037,0.0034226342,0.07145632],"study_design_scores_gemma":[0.000045925713,0.00023302078,0.96028656,0.000035223984,0.00008275234,0.00035874333,0.00088495895,0.0043182094,0.0018596358,0.029554818,0.0023033535,0.0000367805],"about_ca_topic_score_codex":0.0023026646,"about_ca_topic_score_gemma":0.0023097126,"teacher_disagreement_score":0.007152978,"about_ca_system_score_codex":0.0007763851,"about_ca_system_score_gemma":0.00036077452,"threshold_uncertainty_score":0.02392906},"labels":[],"label_agreement":null},{"id":"W3121173541","doi":"10.1111/1911-3846.12144","title":"<scp>CEO</scp> Overconfidence and Management Forecasting","year":2015,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":547,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Overconfidence effect; Optimism; Proxy (statistics); Econometrics; Economics; Actuarial science; Psychology; Social psychology; Statistics; Mathematics","score_opus":0.21742397845999822,"score_gpt":0.3064633063772024,"score_spread":0.0890393279172042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121173541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96951026,0.0012532198,0.0009785151,0.006391323,0.00009119681,0.000013399791,0.00022428155,0.000027960392,0.021509783],"genre_scores_gemma":[0.99880004,0.0002162576,0.00013807527,0.00016487445,0.00010776267,0.0000021192293,0.00005488244,0.000003936629,0.0005119728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984536,0.0005061226,0.00015160961,0.000119595454,0.0006453288,0.00012360477],"domain_scores_gemma":[0.8388312,0.08346377,0.058387294,0.0042951256,0.011103029,0.0039195386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006089115,0.00016700831,0.00028959152,0.0012642406,0.0004529298,0.003370075,0.00039924314,0.0007532577,0.007836828],"category_scores_gemma":[0.065078996,0.00012857765,0.00019835624,0.0013716755,0.0007797015,0.0015706725,0.0008003047,0.0010355662,0.0006963156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005566463,0.00028489908,0.91167504,0.0001508411,0.00022430417,0.00030058643,0.0016257291,0.0052612424,0.001354899,0.0063856193,0.007100527,0.06507964],"study_design_scores_gemma":[0.000029492796,0.00019801632,0.9722286,0.00013119634,0.00006321086,0.00029188904,0.0017311922,0.0073152063,0.0010413105,0.012494689,0.004418162,0.000056954235],"about_ca_topic_score_codex":0.00408825,"about_ca_topic_score_gemma":0.0039404104,"teacher_disagreement_score":0.007836828,"about_ca_system_score_codex":0.00089892256,"about_ca_system_score_gemma":0.0007165195,"threshold_uncertainty_score":0.03220272},"labels":[],"label_agreement":null},{"id":"W3121181566","doi":"","title":"Who moves stock prices? Monthly evidence","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Economics; Monetary economics; Stock price; Quarter (Canadian coin); Stock exchange; Institutional investor; Financial economics; Finance; Corporate governance; Geography","score_opus":0.07866523954773383,"score_gpt":0.3066231284049652,"score_spread":0.22795788885723137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121181566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9575424,0.0058828364,0.0014171599,0.01234714,0.00023585353,0.000024227113,0.0015425825,0.000048544207,0.020959318],"genre_scores_gemma":[0.99256694,0.002877735,0.00042716681,0.0014569577,0.0006572298,0.000013311143,0.000667453,0.000018641384,0.001314528],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984439,0.0003813013,0.0002594381,0.00033134164,0.00039430472,0.00018966186],"domain_scores_gemma":[0.96394247,0.016227365,0.014197331,0.0021959655,0.0021311692,0.0013057688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032692621,0.00017505752,0.00042261824,0.0014721348,0.0004955232,0.001843054,0.0007522291,0.0017081439,0.009904664],"category_scores_gemma":[0.027192459,0.0002972854,0.00027796603,0.0017979087,0.0006451556,0.0023037286,0.0009205482,0.0010172718,0.0014353873],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027329806,0.00014677136,0.9369204,0.000188157,0.00024183534,0.00034410664,0.0016018241,0.00017816368,0.00064792973,0.004228104,0.005011968,0.050217513],"study_design_scores_gemma":[0.00005139338,0.0001162918,0.977221,0.00020383605,0.00021053547,0.00036232732,0.0018100868,0.0010617565,0.0008750758,0.003633963,0.014427231,0.00002651349],"about_ca_topic_score_codex":0.007287356,"about_ca_topic_score_gemma":0.0065428996,"teacher_disagreement_score":0.009904664,"about_ca_system_score_codex":0.000430338,"about_ca_system_score_gemma":0.00028334258,"threshold_uncertainty_score":0.03313434},"labels":[],"label_agreement":null},{"id":"W3121182688","doi":"10.3386/w13088","title":"Global Currency Hedging","year":2007,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":159,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Harvard Business School","keywords":"Currency; Business; Economics; Monetary economics","score_opus":0.46032031091868686,"score_gpt":0.5019719263187745,"score_spread":0.04165161540008766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121182688","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19913626,0.010840109,0.0067525166,0.0028638663,0.0010929541,0.00051305076,0.1199648,0.0016188886,0.65721756],"genre_scores_gemma":[0.5545541,0.014808228,0.014203184,0.00068367575,0.00066136976,0.00029481715,0.18215816,0.0004249434,0.23221156],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992124,0.00007649632,0.000042644555,0.000117876065,0.0004495124,0.00010103505],"domain_scores_gemma":[0.99843735,0.0002220269,0.00017465457,0.00030110936,0.0007001377,0.00016476303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016050899,0.00085409445,0.00042402948,0.003049584,0.00036662765,0.0018837606,0.0006698138,0.00048850046,0.02535897],"category_scores_gemma":[0.0029161938,0.00017681965,0.00037110213,0.0045874724,0.00021372916,0.0014810736,0.0011642616,0.00071280455,0.006494915],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002751614,0.00024941115,0.07858927,0.00036261778,0.00010127248,0.00033331706,0.0004720231,0.0040922468,0.00093505235,0.03865255,0.3273544,0.54858273],"study_design_scores_gemma":[0.000054162887,0.0003183205,0.20082957,0.00040587434,0.000114974355,0.00086294155,0.00087690423,0.0043703984,0.006664792,0.016123867,0.7693146,0.0000636295],"about_ca_topic_score_codex":0.009054135,"about_ca_topic_score_gemma":0.008828458,"teacher_disagreement_score":0.02535897,"about_ca_system_score_codex":0.00081248814,"about_ca_system_score_gemma":0.0011447944,"threshold_uncertainty_score":0.08483422},"labels":[],"label_agreement":null},{"id":"W3121190327","doi":"10.2139/ssrn.3746263","title":"On Detecting Spoofing Strategies in High Frequency Trading","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"High-frequency trading; Business; Spoofing attack; Pairs trade; Dark liquidity; Computer science; Algorithmic trading; Computer security; Alternative trading system; Finance","score_opus":0.02148431447900381,"score_gpt":0.20714993382083188,"score_spread":0.18566561934182807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121190327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8582388,0.0007386963,0.13678446,0.00031936387,0.00007180213,0.00006381587,0.00029331024,0.00033506379,0.0031546997],"genre_scores_gemma":[0.9840858,0.0002645943,0.014594523,0.000045102614,0.000074746,0.000013166918,0.00020817184,0.00001344977,0.0007004302],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99876785,0.00037651064,0.00008162003,0.00017834459,0.00037533685,0.00022033101],"domain_scores_gemma":[0.9754689,0.019239634,0.0020878776,0.0016501193,0.0011067047,0.00044675227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015765482,0.00054040033,0.000692412,0.0028287556,0.0006374564,0.0016552592,0.00066990155,0.0016781345,0.0010143114],"category_scores_gemma":[0.017207535,0.0003186004,0.00034116168,0.0013913049,0.00072041055,0.002243135,0.0013502995,0.0008382482,0.00045649364],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026607332,0.0008480128,0.22027048,0.00027416498,0.00026733143,0.0018585295,0.00069895404,0.103647985,0.079183094,0.021984717,0.0028806585,0.5654253],"study_design_scores_gemma":[0.00003240478,0.0003427672,0.04145354,0.000038531238,0.00006108559,0.0019743503,0.0003630489,0.9270347,0.013264101,0.014487541,0.0008998912,0.0000480941],"about_ca_topic_score_codex":0.0015724441,"about_ca_topic_score_gemma":0.0013708912,"teacher_disagreement_score":0.0028287556,"about_ca_system_score_codex":0.0002879098,"about_ca_system_score_gemma":0.00040013075,"threshold_uncertainty_score":0.0083376765},"labels":[],"label_agreement":null},{"id":"W3121196781","doi":"10.1017/s0022109013000100","title":"Speculative Retail Trading and Asset Prices","year":2013,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":427,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Lottery; Business; Stock (firearms); Monetary economics; Financial economics; Economics; Microeconomics","score_opus":0.048068494422000764,"score_gpt":0.2477148100437359,"score_spread":0.19964631562173515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121196781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99673116,0.00029721324,0.00031078962,0.00014379162,0.0000044904405,0.0000030168642,0.000076822595,0.0000049380146,0.0024278334],"genre_scores_gemma":[0.99959666,0.000062732965,0.000051920535,0.000008035963,0.000009591336,5.8994414e-7,0.000040989253,7.202041e-7,0.00022874009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984837,0.000051551233,0.00001377322,0.000026264237,0.00003725699,0.000022705904],"domain_scores_gemma":[0.9930656,0.0030529292,0.0030345188,0.00021181897,0.00024700654,0.0003881125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037704204,0.00012635645,0.00017117953,0.0004983677,0.00015477207,0.0012364644,0.00015961882,0.00029956608,0.0044447444],"category_scores_gemma":[0.005593144,0.00010988977,0.0001507904,0.00067160354,0.0004017835,0.00053511426,0.00031064337,0.00043145442,0.00033282916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015299501,0.00009122403,0.9863512,0.000024547395,0.00006749584,0.0003662394,0.00015402683,0.0009952899,0.0007938189,0.0019765624,0.00024584308,0.00878086],"study_design_scores_gemma":[0.000010238007,0.00007946098,0.9866077,0.000016918299,0.000035326495,0.00049261266,0.00033163268,0.0061729574,0.00029982682,0.0051629674,0.00078111375,0.000009268757],"about_ca_topic_score_codex":0.0015532825,"about_ca_topic_score_gemma":0.0016822177,"teacher_disagreement_score":0.0044447444,"about_ca_system_score_codex":0.00020691688,"about_ca_system_score_gemma":0.00011050692,"threshold_uncertainty_score":0.0148691535},"labels":[],"label_agreement":null},{"id":"W3121199216","doi":"10.1016/j.iref.2015.04.001","title":"Equity premia and state-dependent risks","year":2015,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; HEC Montréal","keywords":"Downside risk; Economics; Equity (law); Risk premium; Portfolio; Equity premium puzzle; Equity risk; Consumption (sociology); Financial economics; Econometrics; Financial market; Monetary economics; Finance","score_opus":0.10655011234298829,"score_gpt":0.3122590139857961,"score_spread":0.2057089016428078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121199216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86235917,0.043322206,0.04113415,0.018224074,0.00037924643,0.000052061063,0.001002032,0.00011376106,0.033413414],"genre_scores_gemma":[0.98701143,0.008397331,0.00077002635,0.00015751665,0.00024161917,0.0000070101228,0.00011212646,0.0000058137416,0.0032970782],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997327,0.000083603765,0.000018230301,0.00005351019,0.00004840563,0.00006356875],"domain_scores_gemma":[0.9957272,0.002252498,0.0012807801,0.00020004527,0.00027197285,0.00026762456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015358698,0.00026415748,0.00053351914,0.00081445667,0.00032404542,0.002775432,0.0003630532,0.001131897,0.0031184233],"category_scores_gemma":[0.006021121,0.00032136485,0.0003859311,0.0008565326,0.0014849663,0.002897544,0.0006667751,0.001854051,0.00022201361],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014288304,0.00011783429,0.044937044,0.00012810201,0.00029486077,0.0003320499,0.0002657106,0.009204221,0.0011259596,0.90655,0.0030322324,0.033869043],"study_design_scores_gemma":[0.000027502187,0.00006257132,0.06743554,0.000067197,0.000112484326,0.00017351459,0.00011402351,0.014070153,0.00044936143,0.91193867,0.0055149663,0.000033949695],"about_ca_topic_score_codex":0.0014674711,"about_ca_topic_score_gemma":0.001980695,"teacher_disagreement_score":0.0031184233,"about_ca_system_score_codex":0.0006060907,"about_ca_system_score_gemma":0.0006310675,"threshold_uncertainty_score":0.010432184},"labels":[],"label_agreement":null},{"id":"W3121231402","doi":"10.3386/w14795","title":"Consumption and Real Exchange Rates in Professional Forecasts","year":2009,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of British Columbia","funders":"McGill University; University of Washington","keywords":"Consumption (sociology); Econometrics; Exchange rate; Economics; Monetary economics; Sociology","score_opus":0.3809372758851183,"score_gpt":0.46839254581817286,"score_spread":0.08745526993305458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121231402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419254,0.000170044,0.000451847,0.00040722638,0.000018643834,0.0000022360987,0.00075351587,0.00001583876,0.003988243],"genre_scores_gemma":[0.99723864,0.00009952356,0.00010966328,0.00002212047,0.000024440336,0.0000017284931,0.00094807014,0.000005425059,0.0015504615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995946,0.00012690015,0.000026972955,0.00009285736,0.000098358956,0.000060446262],"domain_scores_gemma":[0.9854667,0.007347234,0.0045790877,0.0010120687,0.000972258,0.0006226018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016573534,0.0001720691,0.00027981054,0.00070351973,0.00014983483,0.0016830532,0.00014956875,0.0006598293,0.006161515],"category_scores_gemma":[0.022791987,0.00014878002,0.00015889357,0.00096363865,0.00043015325,0.0015204338,0.0005369904,0.000652735,0.0010425413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008692597,0.00013453749,0.95064807,0.000041426538,0.00009653108,0.00025445607,0.0019684935,0.009820607,0.0003524333,0.0064305714,0.005306654,0.024077017],"study_design_scores_gemma":[0.00003146713,0.00007518929,0.96616447,0.000032499553,0.0000433648,0.00017660513,0.0013304481,0.016360078,0.00041382117,0.011129256,0.004199735,0.00004307582],"about_ca_topic_score_codex":0.005653348,"about_ca_topic_score_gemma":0.0035836943,"teacher_disagreement_score":0.006161515,"about_ca_system_score_codex":0.0004786852,"about_ca_system_score_gemma":0.00017544854,"threshold_uncertainty_score":0.0206123},"labels":[],"label_agreement":null},{"id":"W3121248895","doi":"10.1017/s0022109016000193","title":"Systematic Tail Risk","year":2016,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Tail risk; Econometrics; Systematic risk; Economics; Portfolio; Tail dependence; Extreme value theory; Crash; BETA (programming language); Risk premium; Financial economics; Statistics; Mathematics; Computer science; Multivariate statistics","score_opus":0.028395722923815373,"score_gpt":0.23760855122199706,"score_spread":0.2092128282981817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121248895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702518,0.0005576377,0.017898053,0.0002348962,0.000041048497,0.00005489366,0.0010526242,0.00021903463,0.009689996],"genre_scores_gemma":[0.9982735,0.000055445398,0.00068775605,0.00003828647,0.000019220937,0.000008230023,0.00023382153,0.000008763705,0.000674988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986638,0.00025919473,0.00011826353,0.00025138338,0.0004699999,0.00023741761],"domain_scores_gemma":[0.9578929,0.01760769,0.014924656,0.004447161,0.0030814398,0.002046177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027717773,0.0006019068,0.000608371,0.0019076257,0.00035896891,0.0011622288,0.0007306924,0.0009106489,0.00901808],"category_scores_gemma":[0.02497243,0.00023969487,0.00069210853,0.0011946122,0.00095255196,0.0014011647,0.001122637,0.0009675301,0.001181372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008181584,0.0002691136,0.9132481,0.0001596993,0.0004364281,0.0007951438,0.0003058853,0.01383496,0.007824258,0.016000772,0.0022921357,0.044015408],"study_design_scores_gemma":[0.00012848704,0.0014449329,0.80687606,0.00021776759,0.00042461444,0.003176807,0.00038539147,0.08521792,0.0143959345,0.08387919,0.003701214,0.00015165673],"about_ca_topic_score_codex":0.0013002075,"about_ca_topic_score_gemma":0.0010036353,"teacher_disagreement_score":0.00901808,"about_ca_system_score_codex":0.00041265215,"about_ca_system_score_gemma":0.0005164475,"threshold_uncertainty_score":0.030168533},"labels":[],"label_agreement":null},{"id":"W3121251767","doi":"10.1017/s002210902000085x","title":"Moment Risk Premia and Stock Return Predictability","year":2020,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Predictability; Risk premium; Econometrics; Economics; Moment (physics); Capital asset pricing model; Stock (firearms); Volatility risk premium; Financial economics; Mathematics; Volatility (finance); Statistics; Implied volatility; Physics; Engineering","score_opus":0.041208282888413134,"score_gpt":0.24462898282565565,"score_spread":0.20342069993724252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121251767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890416,0.00028823275,0.008597084,0.0003897837,0.00001991129,0.0000071348773,0.00015543787,0.00008721237,0.001413505],"genre_scores_gemma":[0.9994623,0.00005930914,0.00025893535,0.0000097644315,0.000026375234,0.0000014058683,0.000046691443,0.000004173259,0.00013104395],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996086,0.00012280626,0.000027179623,0.00007193046,0.00009303674,0.00007644743],"domain_scores_gemma":[0.97327846,0.018142574,0.005482721,0.0015324666,0.0009551645,0.0006086901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002446535,0.0005337206,0.0005740468,0.001109855,0.00020829598,0.0014379799,0.00041983457,0.0006957319,0.0023353205],"category_scores_gemma":[0.0214369,0.00027308878,0.00055472046,0.00057760207,0.00081322517,0.0010973905,0.0006663272,0.0011474327,0.00023666708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088825583,0.00034691638,0.73290557,0.00013451581,0.0007616422,0.0011993083,0.0004261347,0.15896842,0.008395221,0.057580967,0.0020481697,0.036344886],"study_design_scores_gemma":[0.000057961817,0.0002853699,0.3702042,0.000055414992,0.00022392468,0.0004299577,0.000116300514,0.5413101,0.0034611146,0.08307937,0.00068117323,0.00009512941],"about_ca_topic_score_codex":0.0020574646,"about_ca_topic_score_gemma":0.0013372132,"teacher_disagreement_score":0.002446535,"about_ca_system_score_codex":0.0003500194,"about_ca_system_score_gemma":0.00033747006,"threshold_uncertainty_score":0.012938678},"labels":[],"label_agreement":null},{"id":"W3121262888","doi":"10.2139/ssrn.3153799","title":"Mandatory and Voluntary Disclosures: Dynamic Interactions","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Voluntary disclosure; Earnings; Volatility (finance); Turnover; Business; Stock (firearms); Private information retrieval; Stock price; Accounting; Monetary economics; Stock market; Information asymmetry; Economics; Finance","score_opus":0.010038492230546339,"score_gpt":0.22105408569575014,"score_spread":0.2110155934652038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121262888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90368325,0.0036474129,0.012359066,0.024404716,0.00027929796,0.00012252698,0.002714925,0.0003143986,0.052474383],"genre_scores_gemma":[0.99330443,0.00039880408,0.00041809538,0.00034803458,0.00012480422,0.00002541725,0.0002338852,0.00003428377,0.005112312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99584216,0.0017097951,0.00019186204,0.00059641496,0.00055474625,0.0011050431],"domain_scores_gemma":[0.889203,0.09255164,0.010414808,0.0014572033,0.0027694518,0.0036037539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005581021,0.00042180505,0.001341791,0.001531337,0.0012233148,0.008233111,0.0013385313,0.003925735,0.027101893],"category_scores_gemma":[0.0535936,0.00066685834,0.0007724877,0.0014376924,0.0014567302,0.007200081,0.0022985274,0.0040054717,0.0025709094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0068604345,0.0037611157,0.3915527,0.00094172236,0.0015059313,0.0030292873,0.006579432,0.041644346,0.009098651,0.3531152,0.054681774,0.12722945],"study_design_scores_gemma":[0.0008748032,0.0010001091,0.46047997,0.00031913168,0.0014567664,0.0012092403,0.011187803,0.10164866,0.0017645737,0.39643493,0.023168609,0.00045532506],"about_ca_topic_score_codex":0.004777713,"about_ca_topic_score_gemma":0.006910278,"teacher_disagreement_score":0.027101893,"about_ca_system_score_codex":0.0012395297,"about_ca_system_score_gemma":0.0012770024,"threshold_uncertainty_score":0.09066492},"labels":[],"label_agreement":null},{"id":"W3121267860","doi":"","title":"An Examination of Own Account Trading by Dual Traders in Futures Markets","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Market liquidity; Futures contract; Dual (grammatical number); Commission; Business; Control (management); Robustness (evolution); Economics; Futures market; Financial economics; Extant taxon; Actuarial science; Finance","score_opus":0.04282931447171501,"score_gpt":0.2819442451492741,"score_spread":0.23911493067755907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121267860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989574,0.00003310553,0.00018711362,0.000038158094,0.0000011006789,0.0000029288076,0.00005087204,0.0000028022403,0.00072656973],"genre_scores_gemma":[0.9993969,0.00003991413,0.00017552107,0.0000068884488,0.0000050893773,0.000002516286,0.00011338827,0.0000018904487,0.00025784012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993137,0.00023163095,0.00006217679,0.00009741296,0.00016932139,0.00012583773],"domain_scores_gemma":[0.9873919,0.0063089645,0.00457072,0.0006700446,0.0003566243,0.00070169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018743254,0.00017127357,0.00045242105,0.0015015639,0.00056679954,0.0019421728,0.00036145325,0.00059247727,0.0028401348],"category_scores_gemma":[0.012573873,0.00027502127,0.00033142552,0.0018737208,0.00073704426,0.001878277,0.0010764489,0.0006898291,0.00024779476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057422585,0.00029653806,0.97436666,0.000027744954,0.00007735723,0.00064760295,0.0020410686,0.0020917035,0.0018150008,0.003415299,0.00025737766,0.014389407],"study_design_scores_gemma":[0.000026694988,0.00014934818,0.97215647,0.00001419841,0.000044915774,0.00048383742,0.0021742936,0.019482546,0.0008387359,0.0037157945,0.00088315195,0.000029997671],"about_ca_topic_score_codex":0.003949198,"about_ca_topic_score_gemma":0.006313069,"teacher_disagreement_score":0.003949198,"about_ca_system_score_codex":0.0004809762,"about_ca_system_score_gemma":0.00044349107,"threshold_uncertainty_score":0.009912491},"labels":[],"label_agreement":null},{"id":"W3121271996","doi":"10.1016/j.intfin.2016.07.007","title":"Less is more: Testing financial integration using identification-robust asset pricing models","year":2016,"lang":"en","type":"article","venue":"Journal of International Financial Markets Institutions and Money","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Université Laval","funders":"","keywords":"Spurious relationship; Identification (biology); Inference; Financial integration; Capital asset pricing model; Econometrics; Specification; Sample (material); Exploit; Constraint (computer-aided design); Financial asset; Computer science; Financial market; Economics; Finance; Machine learning; Engineering; Artificial intelligence","score_opus":0.11332164030218346,"score_gpt":0.2738811304786767,"score_spread":0.16055949017649324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121271996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98845285,0.00010092312,0.009606189,0.0005510003,0.000031765594,0.00002474086,0.00011633154,0.00005849204,0.0010576113],"genre_scores_gemma":[0.9970656,0.000034137247,0.002413642,0.00005121129,0.000023538543,0.00001538431,0.0002402954,0.000009195209,0.00014707087],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99296993,0.0044369325,0.0003582467,0.0011527326,0.0005612861,0.0005208538],"domain_scores_gemma":[0.9049711,0.07722664,0.009255434,0.004379807,0.0019663454,0.002200693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012880368,0.0014726516,0.0013227585,0.0013408695,0.0008780178,0.0028016744,0.0018244593,0.0019512809,0.004758828],"category_scores_gemma":[0.07769035,0.0005103778,0.0012169025,0.0013874064,0.0013072721,0.0047169495,0.0027570233,0.0020498752,0.0007208923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004446485,0.005963882,0.7301829,0.00017415799,0.0033348592,0.0009063803,0.0013625285,0.12205437,0.0015561677,0.029570797,0.00371841,0.09672913],"study_design_scores_gemma":[0.00091529323,0.0019651607,0.1412839,0.00007022005,0.0008117157,0.00031108782,0.0024654397,0.791076,0.0019862426,0.05781623,0.0011919803,0.00010678357],"about_ca_topic_score_codex":0.0046798233,"about_ca_topic_score_gemma":0.002822436,"teacher_disagreement_score":0.012880368,"about_ca_system_score_codex":0.0005854939,"about_ca_system_score_gemma":0.0011936488,"threshold_uncertainty_score":0.06811875},"labels":[],"label_agreement":null},{"id":"W3121313899","doi":"10.1093/restud/rdad013","title":"The Lost Capital Asset Pricing Model","year":2023,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Capital asset pricing model; Economics; Financial economics; Distortion (music); Asset (computer security); Consumption-based capital asset pricing model; Systematic risk; Econometrics","score_opus":0.0859595795107059,"score_gpt":0.29432972520917705,"score_spread":0.20837014569847115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121313899","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19191645,0.006701511,0.63507056,0.019445563,0.000876747,0.000121377605,0.0014557919,0.0006405976,0.14377145],"genre_scores_gemma":[0.97042054,0.0010330194,0.005410302,0.0003989719,0.00025114344,0.000053875287,0.00017911955,0.000026786027,0.022226255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993753,0.00023051098,0.00001988195,0.00010773778,0.00014316465,0.0001233407],"domain_scores_gemma":[0.9985001,0.00070274953,0.00021106175,0.00018355576,0.00020476343,0.00019783425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015118172,0.00054386427,0.00097057,0.0007345725,0.0004311323,0.003015623,0.0019916943,0.0018286776,0.007604819],"category_scores_gemma":[0.0057401005,0.00022997195,0.0005190297,0.00075407285,0.0018467631,0.002750621,0.0010802803,0.0020610825,0.0008356129],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042852014,0.000042716878,0.0011712533,0.000050518986,0.00003769424,0.00041329933,0.0001287351,0.07913654,0.00018019603,0.9033701,0.0062347446,0.009191264],"study_design_scores_gemma":[0.000034118795,0.00002481549,0.00042525498,0.000027030272,0.000018298631,0.00017094496,0.00003285525,0.3601793,0.00006096846,0.6339422,0.0050682244,0.000016037784],"about_ca_topic_score_codex":0.00356805,"about_ca_topic_score_gemma":0.0012815576,"teacher_disagreement_score":0.007604819,"about_ca_system_score_codex":0.0015186629,"about_ca_system_score_gemma":0.00083177746,"threshold_uncertainty_score":0.025440633},"labels":[],"label_agreement":null},{"id":"W3121324914","doi":"10.1002/9781118709207.ch10","title":"Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity","year":2016,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Market liquidity; Economics; Bond; Predictability; Treasury; Inflation (cosmology); Econometrics; Real interest rate; Liquidity premium; Monetary economics; Risk premium; Financial economics; Liquidity risk; Monetary policy; Mathematics; Finance; Statistics","score_opus":0.02325711269213639,"score_gpt":0.22654506239598735,"score_spread":0.20328794970385095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121324914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9547305,0.00803683,0.008069758,0.0027943116,0.00003589613,0.000017512555,0.00094024645,0.00014267395,0.02523227],"genre_scores_gemma":[0.9954886,0.001721333,0.00044428193,0.000055818513,0.00006604577,0.0000048826687,0.0004157952,0.000021960057,0.0017811676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996705,0.00008444353,0.000025590693,0.000044676395,0.0001231775,0.000051538722],"domain_scores_gemma":[0.9947744,0.003118635,0.0013918431,0.00018120704,0.00035591464,0.00017806435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011530344,0.0002939479,0.00042271678,0.0013509098,0.00026756088,0.002901974,0.00026988206,0.00041224106,0.0043162657],"category_scores_gemma":[0.009230461,0.00021657668,0.00044193654,0.0026661365,0.00059236033,0.0020998667,0.00071182504,0.0012208767,0.0006556935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046938882,0.00020088156,0.74299777,0.00020094655,0.00057978916,0.0010064528,0.001038246,0.043999404,0.0033564924,0.072684936,0.0073172376,0.12614857],"study_design_scores_gemma":[0.00003073005,0.000111970294,0.81540346,0.0001632754,0.00022738201,0.00043049682,0.00096096867,0.11215799,0.0019645796,0.061302975,0.007164411,0.00008189195],"about_ca_topic_score_codex":0.005014394,"about_ca_topic_score_gemma":0.00535908,"teacher_disagreement_score":0.005014394,"about_ca_system_score_codex":0.0006261252,"about_ca_system_score_gemma":0.0004897381,"threshold_uncertainty_score":0.014439344},"labels":[],"label_agreement":null},{"id":"W3121327774","doi":"10.1093/rfs/hhaa054","title":"Competition, Markups, and Predictable Returns","year":2020,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Volatility (finance); Oligopoly; Competition (biology); Econometrics; Imperfect competition; Aggregate (composite); Monetary economics; Microeconomics; Cournot competition","score_opus":0.05803565483183972,"score_gpt":0.2490362660267284,"score_spread":0.19100061119488868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121327774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9661424,0.005582193,0.015276486,0.0025264872,0.000040196635,0.000018586727,0.00036060205,0.000053021424,0.0100000305],"genre_scores_gemma":[0.99825364,0.0006185524,0.0002420299,0.000043566983,0.00003355953,0.0000026942434,0.000058214613,0.0000020986952,0.00074571045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995691,0.00013469861,0.000028346894,0.00010120636,0.00008462674,0.00008194909],"domain_scores_gemma":[0.9929351,0.0032347112,0.0029187251,0.00018804573,0.00038644316,0.00033690958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012743567,0.00027746428,0.00061512855,0.00085501914,0.00023511924,0.0019797205,0.00045602565,0.0009969439,0.0027470668],"category_scores_gemma":[0.006442273,0.00021525912,0.00042024298,0.0007924768,0.0011554224,0.0017921645,0.00059376,0.00073758845,0.00028505884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039758632,0.00038308135,0.36851633,0.00046270344,0.00090891105,0.0014742105,0.00038163958,0.23596416,0.0058929943,0.33388674,0.0033306452,0.04840105],"study_design_scores_gemma":[0.00007030883,0.00042270918,0.24446294,0.00016027532,0.00029165804,0.0006436814,0.00040497002,0.30912456,0.0023706672,0.4367483,0.005159533,0.00014043762],"about_ca_topic_score_codex":0.0029666147,"about_ca_topic_score_gemma":0.0020422505,"teacher_disagreement_score":0.0029666147,"about_ca_system_score_codex":0.00095737877,"about_ca_system_score_gemma":0.00040179997,"threshold_uncertainty_score":0.009189844},"labels":[],"label_agreement":null},{"id":"W3121340220","doi":"","title":"Disentangling Risk Aversion and Intertemporal Substitution Through a Reference Level","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Economics; Risk aversion (psychology); Consumption (sociology); Isoelastic utility; Expected utility hypothesis; Econometrics; Diversification (marketing strategy); Capital asset pricing model; Von Neumann–Morgenstern utility theorem; Elasticity of intertemporal substitution; Ambiguity aversion; Microeconomics; Spectral risk measure; Function (biology); Mathematical economics; Financial economics; Portfolio; Computer science; Ambiguity; Expected shortfall","score_opus":0.11722617952699187,"score_gpt":0.3032898292534518,"score_spread":0.18606364972645995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121340220","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44675052,0.0012360419,0.5267238,0.0013553196,0.00004250716,0.00005047668,0.00018829048,0.00026075388,0.023392214],"genre_scores_gemma":[0.96795255,0.0006286935,0.020021182,0.00008887014,0.000024556994,0.000055310702,0.000073235584,0.000045697852,0.011109822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989962,0.00041579845,0.00003949269,0.00018039177,0.00019676323,0.00017133995],"domain_scores_gemma":[0.9961713,0.002117737,0.0007107818,0.000542464,0.00022215153,0.00023564317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003185919,0.0009892003,0.0010095466,0.0010407219,0.00051050604,0.0033840325,0.0010806472,0.0013567319,0.0074439812],"category_scores_gemma":[0.007018499,0.0006815974,0.0016872325,0.001316946,0.0014978674,0.005006853,0.0026566617,0.0021511877,0.0006166835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029905993,0.0000965131,0.014698895,0.000082531165,0.0002025589,0.00038183687,0.0009089514,0.086747035,0.0017024458,0.86514956,0.00033638018,0.029394263],"study_design_scores_gemma":[0.000042329324,0.00019692878,0.010286345,0.000056025976,0.00014254697,0.00020038297,0.00026346793,0.27673915,0.0006084002,0.7086592,0.002715146,0.00009011397],"about_ca_topic_score_codex":0.0057459543,"about_ca_topic_score_gemma":0.0041596596,"teacher_disagreement_score":0.0074439812,"about_ca_system_score_codex":0.0014230649,"about_ca_system_score_gemma":0.0012537828,"threshold_uncertainty_score":0.024902642},"labels":[],"label_agreement":null},{"id":"W3121356646","doi":"10.1017/s002210901600082x","title":"Seasonal Asset Allocation: Evidence from Mutual Fund Flows","year":2017,"lang":"en","type":"preprint","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; York University","funders":"Social Sciences and Humanities Research Council of Canada; Queen Mary University of London","keywords":"Mutual fund; Closed-end fund; Income fund; Business; Monetary economics; Open-end fund; Sovereign wealth fund; Asset allocation; Risk aversion (psychology); Institutional investor; Economics; Fund of funds; Finance; Market liquidity; Financial economics; Fund administration; Foreign direct investment; Portfolio; Expected utility hypothesis; Corporate governance","score_opus":0.13145089720437272,"score_gpt":0.31740069167551527,"score_spread":0.18594979447114254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121356646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974235,0.0002493341,0.00031823202,0.00019464045,0.0000045831307,0.0000035336814,0.00038695696,0.00000846413,0.0014106259],"genre_scores_gemma":[0.9988102,0.00016864334,0.00016075384,0.000028658771,0.000017159886,0.0000036386923,0.00046804931,0.0000052037226,0.00033783924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995493,0.00013533149,0.00003696622,0.00009302989,0.000107075626,0.0000782757],"domain_scores_gemma":[0.98797,0.0034250964,0.006274728,0.0008345987,0.000679125,0.00081656117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011617462,0.0001259764,0.00021218295,0.0012140567,0.0003674706,0.0007377484,0.0003122152,0.00042069392,0.0025334912],"category_scores_gemma":[0.013611082,0.00015781562,0.00019270684,0.0014397716,0.00047623322,0.00076853496,0.000934955,0.00039700302,0.00031576306],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005047629,0.000098832534,0.97322017,0.000056594334,0.0001600079,0.000162563,0.0011190508,0.0008288629,0.0010604857,0.002139545,0.0016682686,0.01898069],"study_design_scores_gemma":[0.000014997267,0.000045404024,0.9939593,0.000019542822,0.00004335177,0.000104584185,0.00038328543,0.0017255939,0.00027804347,0.0016725278,0.0017434772,0.000009881497],"about_ca_topic_score_codex":0.011574367,"about_ca_topic_score_gemma":0.012675227,"teacher_disagreement_score":0.011574367,"about_ca_system_score_codex":0.00033263216,"about_ca_system_score_gemma":0.00023714073,"threshold_uncertainty_score":0.02301395},"labels":[],"label_agreement":null},{"id":"W3121367736","doi":"10.2139/ssrn.199332","title":"Option Prices with Uncertain Fundamentals: Theory and Evidence on the Dynamics of Implied Volatilities","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economics; Econometrics; Dynamics (music); Financial economics; Mathematical economics; Psychology","score_opus":0.020353754760247394,"score_gpt":0.21958252948008167,"score_spread":0.19922877471983427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121367736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8097803,0.007904297,0.16090272,0.0057408493,0.00011530301,0.000028707653,0.0006226734,0.00024001986,0.014665267],"genre_scores_gemma":[0.99203146,0.0019692092,0.00489795,0.000088466986,0.00012474987,0.000012031146,0.00021589821,0.000021093665,0.00063911144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989542,0.0003702009,0.00008980976,0.0002340332,0.00026714406,0.00008467434],"domain_scores_gemma":[0.9213091,0.0650417,0.008201101,0.0034282526,0.0014571374,0.00056265795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005780564,0.0005318989,0.0008366701,0.0015245585,0.0005388149,0.005410948,0.0021111248,0.0031407855,0.004821464],"category_scores_gemma":[0.076649524,0.000700636,0.0006148181,0.0024279568,0.002628087,0.011318795,0.0009803482,0.0038184463,0.0004336369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042655604,0.00015156012,0.048520405,0.00034760928,0.00028751584,0.00068019144,0.00082917797,0.13200969,0.003788458,0.75487196,0.0017073734,0.05637948],"study_design_scores_gemma":[0.000066762754,0.000042415464,0.019610561,0.000052595442,0.00006575942,0.00028111387,0.000092917835,0.206336,0.0005612455,0.7719678,0.000863716,0.00005899],"about_ca_topic_score_codex":0.0010672875,"about_ca_topic_score_gemma":0.0006743929,"teacher_disagreement_score":0.005780564,"about_ca_system_score_codex":0.0007870736,"about_ca_system_score_gemma":0.0003670349,"threshold_uncertainty_score":0.030570924},"labels":[],"label_agreement":null},{"id":"W3121370607","doi":"10.2139/ssrn.3054245","title":"Buffett's Alpha: Further Explanations from Behavioral Value Investing Perspective","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University; University of New Brunswick","funders":"","keywords":"Perspective (graphical); Value (mathematics); Alpha (finance); Economics; Financial economics; Positive economics; Mathematics; Computer science; Statistics; Artificial intelligence; Economy","score_opus":0.03911055807040051,"score_gpt":0.2649610451717151,"score_spread":0.22585048710131458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121370607","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19680525,0.005869153,0.22310257,0.070012294,0.0017451077,0.00014079546,0.0006430818,0.0005965707,0.5010852],"genre_scores_gemma":[0.94882506,0.001642019,0.009889241,0.0016995635,0.0012138399,0.0000634274,0.000083497696,0.00006697869,0.03651639],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99917895,0.00023636027,0.000040762134,0.00014655298,0.00020530108,0.00019207508],"domain_scores_gemma":[0.9912883,0.005302938,0.0010988084,0.00073796854,0.0009001037,0.0006719392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035521765,0.0005982963,0.0005139102,0.0020638313,0.0009705376,0.002864688,0.001008454,0.0018543571,0.016148532],"category_scores_gemma":[0.014509797,0.00021559987,0.00043133312,0.0022114643,0.0024639901,0.0035634877,0.00097565854,0.0025338286,0.0012837491],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002869953,0.000036424342,0.0030775862,0.000023055067,0.000008135279,0.00008484692,0.0002598077,0.00050887093,0.000112896385,0.9627723,0.0067014843,0.026385939],"study_design_scores_gemma":[0.000021093325,0.00003019875,0.0047175293,0.000038659244,0.000013179338,0.00012793645,0.00013707015,0.0038661326,0.00019651573,0.979817,0.01102305,0.00001166436],"about_ca_topic_score_codex":0.0015924255,"about_ca_topic_score_gemma":0.001411152,"teacher_disagreement_score":0.016148532,"about_ca_system_score_codex":0.000972424,"about_ca_system_score_gemma":0.0006806913,"threshold_uncertainty_score":0.054022253},"labels":[],"label_agreement":null},{"id":"W3121374802","doi":"10.2139/ssrn.396500","title":"When is Inter-Transaction Time Informative?","year":2003,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Reversing; Database transaction; Stock (firearms); Private information retrieval; Transaction cost; Business; Transaction data; Econometrics; Economics; Monetary economics; Financial economics; Computer science; Microeconomics; Database; Engineering; Computer security","score_opus":0.014614552921680632,"score_gpt":0.2057724672984774,"score_spread":0.19115791437679677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121374802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.704551,0.007701807,0.21289806,0.032483093,0.00088878087,0.00016978435,0.0033301548,0.0007908167,0.037186537],"genre_scores_gemma":[0.98904943,0.0017353299,0.003553025,0.0008251141,0.00088700384,0.000049562444,0.0005020438,0.00010556666,0.0032929438],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9957502,0.0015814492,0.00031557924,0.0010054618,0.0006338714,0.0007133777],"domain_scores_gemma":[0.78533936,0.17668109,0.02193352,0.009066334,0.0041947737,0.00278488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011970643,0.00079416035,0.0025932956,0.0023987063,0.00083505845,0.0075936955,0.0025755577,0.005326361,0.01550033],"category_scores_gemma":[0.1538549,0.0015224374,0.0008924421,0.003302656,0.0032302774,0.020552155,0.0017643588,0.005408767,0.0020685105],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002796845,0.00075836084,0.1765887,0.0011991666,0.0010870432,0.0034224535,0.002437891,0.059365686,0.002677553,0.501657,0.02480295,0.22320634],"study_design_scores_gemma":[0.00019096176,0.00021658064,0.04625445,0.00021113524,0.00049741863,0.0014207844,0.0014137182,0.16626519,0.002042921,0.7759489,0.0053806277,0.00015732762],"about_ca_topic_score_codex":0.001737323,"about_ca_topic_score_gemma":0.0017501527,"teacher_disagreement_score":0.01550033,"about_ca_system_score_codex":0.001038445,"about_ca_system_score_gemma":0.0009251384,"threshold_uncertainty_score":0.063307524},"labels":[],"label_agreement":null},{"id":"W3121375772","doi":"","title":"News Shocks and Asset Prices","year":2015,"lang":"en","type":"article","venue":"LSE Research Online Documents on Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Business cycle; Shock (circulatory); Asset (computer security); Monetary economics; Consumption (sociology); Dividend; Investment (military); Econometrics; Productivity; Stock (firearms); Quarter (Canadian coin); Capital asset pricing model; Variance (accounting); Financial economics; Macroeconomics; Finance","score_opus":0.1672501463652054,"score_gpt":0.35871714260148563,"score_spread":0.19146699623628022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121375772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9303788,0.0062881196,0.027110746,0.007136999,0.0003573335,0.00002091922,0.0013277209,0.00009628395,0.027282983],"genre_scores_gemma":[0.99455357,0.0019748975,0.0005987511,0.000119868026,0.00014515697,0.000005425007,0.00025722757,0.000009236559,0.002335896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998684,0.00003608197,0.000009759591,0.000032995427,0.000029739718,0.00002294148],"domain_scores_gemma":[0.9971354,0.0014910166,0.0010234265,0.000089611705,0.00016617628,0.000094300856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053266546,0.00026025242,0.00027047168,0.00045618822,0.00016895567,0.0022710434,0.00021704036,0.00080696016,0.0028963345],"category_scores_gemma":[0.0075657787,0.00019791568,0.00021629436,0.0005588396,0.00035930122,0.0017528831,0.0004172048,0.000994558,0.00041728115],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092614,0.00024878795,0.22400676,0.0003431089,0.0005387305,0.0020717743,0.0009891011,0.14031379,0.005367983,0.51494277,0.012564369,0.097686715],"study_design_scores_gemma":[0.00012829437,0.00024743722,0.17602405,0.00014315441,0.0002221971,0.00065194693,0.00070660363,0.27427146,0.0033450138,0.5237248,0.02040534,0.00012983242],"about_ca_topic_score_codex":0.0017810923,"about_ca_topic_score_gemma":0.0010641325,"teacher_disagreement_score":0.0028963345,"about_ca_system_score_codex":0.0005522451,"about_ca_system_score_gemma":0.00017716408,"threshold_uncertainty_score":0.009689212},"labels":[],"label_agreement":null},{"id":"W3121379631","doi":"10.1017/s0022109017000102","title":"Institutional Investment Constraints and Stock Prices","year":2017,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Chinese University of Hong Kong","keywords":"Stock (firearms); Predictability; Earnings; Monetary economics; Economics; Financial economics; Institutional investor; Capital asset pricing model; Portfolio; Business; Finance; Corporate governance","score_opus":0.061186949288286205,"score_gpt":0.279915542103786,"score_spread":0.21872859281549978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121379631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99639577,0.00017548064,0.000431444,0.00024579506,0.000004554852,0.000004433734,0.00009157874,0.0000058588003,0.0026452513],"genre_scores_gemma":[0.99968195,0.00004477475,0.000059896276,0.000011870229,0.00000620628,0.0000021584765,0.00005099782,0.0000011644152,0.00014093875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994287,0.00017948892,0.000056696234,0.00007316411,0.00010431833,0.0001575645],"domain_scores_gemma":[0.9666294,0.008570355,0.020527633,0.0011289051,0.0007098061,0.0024338546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012886156,0.00020284398,0.00032173886,0.00054602715,0.00031258873,0.0018428277,0.00031919597,0.00045304382,0.0041385405],"category_scores_gemma":[0.015820462,0.00015129881,0.00014866231,0.00087360694,0.00062664435,0.0010093807,0.00096873846,0.0007117067,0.00029829895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007036001,0.0005272831,0.9444903,0.000072529096,0.00030231007,0.00042499483,0.00034584486,0.014363302,0.0019098951,0.01671853,0.00096196047,0.01917933],"study_design_scores_gemma":[0.00012456001,0.00033992628,0.93789923,0.00004560313,0.00013095586,0.0002102956,0.00092422165,0.02917381,0.0014555579,0.027487533,0.0021676458,0.000040609884],"about_ca_topic_score_codex":0.0033297213,"about_ca_topic_score_gemma":0.003603281,"teacher_disagreement_score":0.0041385405,"about_ca_system_score_codex":0.0008721286,"about_ca_system_score_gemma":0.00047258651,"threshold_uncertainty_score":0.013844788},"labels":[],"label_agreement":null},{"id":"W3121381276","doi":"10.1561/104.00000021","title":"Seasonal Variation in Treasury Returns","year":2015,"lang":"en","type":"article","venue":"Critical Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto; York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Treasury; Proxy (statistics); Seasonality; Economics; Econometrics; Risk premium; Equity (law); Financial economics; Statistics; Geography; Mathematics","score_opus":0.08809228588079057,"score_gpt":0.28828328789811547,"score_spread":0.2001910020173249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121381276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95875734,0.0027168647,0.0031790638,0.0011548476,0.00008838737,0.000034646477,0.009838091,0.00021676427,0.024014108],"genre_scores_gemma":[0.99189174,0.0010762522,0.0006970062,0.00014178574,0.000077552184,0.000009527358,0.0038076288,0.000030478328,0.0022679511],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999632,0.000043762568,0.000039181472,0.00009614108,0.00013310749,0.00005577006],"domain_scores_gemma":[0.9973339,0.0004231138,0.0011840326,0.00017788383,0.00074706314,0.00013402634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059142866,0.00013566184,0.0001552899,0.0012916205,0.00015048544,0.00080418744,0.00018292703,0.00022567826,0.0022377751],"category_scores_gemma":[0.0043090642,0.00007059967,0.00019053154,0.0027370008,0.00015009122,0.00042085574,0.00021418183,0.00030175,0.0006487701],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026065786,0.00010402045,0.80393213,0.00025085395,0.0002765686,0.0004196414,0.0010772628,0.0046645794,0.0075939507,0.00822115,0.03218869,0.14101046],"study_design_scores_gemma":[0.0000031412142,0.000050448823,0.97938836,0.000024915458,0.000025326992,0.00021933792,0.00019511482,0.0026171857,0.00079870294,0.0009579153,0.015700106,0.00001941188],"about_ca_topic_score_codex":0.010716827,"about_ca_topic_score_gemma":0.015088216,"teacher_disagreement_score":0.010716827,"about_ca_system_score_codex":0.00043319212,"about_ca_system_score_gemma":0.0002205069,"threshold_uncertainty_score":0.021308899},"labels":[],"label_agreement":null},{"id":"W3121394337","doi":"10.5555/1083-5547-21.1.21","title":"Trend Following and Momentum Strategies for Global REITs","year":2015,"lang":"en","type":"article","venue":"City Research Online (City University London)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Sharpe ratio; Real estate investment trust; Portfolio; Trend following; Momentum (technical analysis); Volatility (finance); Econometrics; Economics; Financial economics; Asset (computer security); Index (typography); Project portfolio management; Computer science; Finance; Real estate","score_opus":0.1617728570311797,"score_gpt":0.3209636962078476,"score_spread":0.1591908391766679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121394337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93297946,0.0009523838,0.033059012,0.00041772713,0.00005756339,0.000061228304,0.00007553177,0.00014272111,0.032254327],"genre_scores_gemma":[0.9930514,0.00022889489,0.0021887566,0.000050987117,0.000026498707,0.0000111299905,0.000041770178,0.000015381242,0.004385176],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996302,0.00008837332,0.00002457854,0.0000703394,0.0001075949,0.00007891504],"domain_scores_gemma":[0.998357,0.00033548824,0.00078736513,0.00018364763,0.00015240235,0.00018395825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00133758,0.00074198865,0.0005473303,0.00059412536,0.0002645252,0.002762062,0.0005188294,0.0007406295,0.0045888075],"category_scores_gemma":[0.0046867756,0.00016597705,0.00045249655,0.00056458084,0.0005474743,0.0028346682,0.0010769059,0.0009083724,0.00057257275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020001524,0.0008535318,0.14042903,0.00040717918,0.0008313258,0.0029462252,0.00061766314,0.24434727,0.029093796,0.21539043,0.0040451805,0.3590383],"study_design_scores_gemma":[0.000540218,0.00636313,0.16112912,0.00031405393,0.0012057463,0.0028320157,0.002118469,0.57493556,0.037243202,0.1738589,0.039204482,0.00025505442],"about_ca_topic_score_codex":0.00064613676,"about_ca_topic_score_gemma":0.00092142925,"teacher_disagreement_score":0.0045888075,"about_ca_system_score_codex":0.0005309732,"about_ca_system_score_gemma":0.00035821513,"threshold_uncertainty_score":0.015351117},"labels":[],"label_agreement":null},{"id":"W3121400490","doi":"10.2139/ssrn.1440673","title":"The Reception of Public Signals in Financial Markets: What if Central Bank Communication Becomes Stale?","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Business; Central bank; Financial system; Finance; Financial market; Economics; Monetary policy; Monetary economics","score_opus":0.018506318256505398,"score_gpt":0.21873724862830385,"score_spread":0.20023093037179845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121400490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6327994,0.006257706,0.009713972,0.20803611,0.0011257218,0.000046671263,0.00081748643,0.0002929819,0.14090984],"genre_scores_gemma":[0.99208224,0.0010244946,0.00047617735,0.0019752847,0.0010149895,0.000016721024,0.000078096615,0.000039479728,0.0032924602],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9971003,0.0014325941,0.000081019294,0.00031137443,0.0005294766,0.000545184],"domain_scores_gemma":[0.93897676,0.040487096,0.009774386,0.00285629,0.0045949104,0.0033105244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058714165,0.00027631063,0.00068488176,0.001454121,0.0016487734,0.010843277,0.0011300048,0.0059604044,0.02664871],"category_scores_gemma":[0.070579566,0.0005954993,0.00028029166,0.0019898347,0.005053413,0.014480534,0.002048472,0.0038205436,0.0034227674],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023572964,0.000821272,0.0748086,0.00073518517,0.00020734436,0.00084739743,0.017003933,0.004858437,0.003681955,0.59730995,0.08632593,0.21104264],"study_design_scores_gemma":[0.00044280753,0.00049212686,0.10173544,0.00056466815,0.0001942521,0.0005019473,0.015746491,0.0111145815,0.0022828542,0.82128394,0.045441143,0.00019974913],"about_ca_topic_score_codex":0.0029070252,"about_ca_topic_score_gemma":0.0019390308,"teacher_disagreement_score":0.02664871,"about_ca_system_score_codex":0.0017080504,"about_ca_system_score_gemma":0.0015898161,"threshold_uncertainty_score":0.08914876},"labels":[],"label_agreement":null},{"id":"W3121414067","doi":"10.2139/ssrn.3719656","title":"Flying Under the Radar: The Real Effects of Anonymous Trading","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College Saint-Jean; University of Alberta; Dalhousie University","funders":"","keywords":"Radar; Business; Computer science; Computer security; Aeronautics; Telecommunications; Engineering","score_opus":0.019112400746858188,"score_gpt":0.20193685633165676,"score_spread":0.18282445558479857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121414067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9376318,0.0013318053,0.0029799163,0.009096842,0.000323725,0.000018558812,0.00046910986,0.0001399075,0.048008375],"genre_scores_gemma":[0.9971288,0.0001744979,0.00015489053,0.00018903201,0.000073310446,0.000002402446,0.000037644357,0.000019861998,0.0022194313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995283,0.00024964038,0.000011727751,0.000064874264,0.00006604443,0.00007949182],"domain_scores_gemma":[0.987293,0.009889598,0.0012868041,0.000516479,0.00034141899,0.0006727572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012543214,0.0001662525,0.0003207123,0.00027730665,0.0005734308,0.0030075067,0.00050889014,0.001965807,0.015263156],"category_scores_gemma":[0.01688727,0.00019708672,0.00022804351,0.00043358107,0.0009213121,0.0025981995,0.00090643275,0.002050721,0.0011601008],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009269889,0.0025740103,0.17695029,0.0005918728,0.00064570893,0.0051327134,0.007924205,0.1423412,0.011180463,0.3211168,0.12057003,0.20170294],"study_design_scores_gemma":[0.0010151217,0.0009096481,0.2802284,0.00013319551,0.0005192642,0.0010985004,0.0094659645,0.2700664,0.0024006262,0.39428136,0.039478097,0.00040338916],"about_ca_topic_score_codex":0.003902005,"about_ca_topic_score_gemma":0.0038572634,"teacher_disagreement_score":0.015263156,"about_ca_system_score_codex":0.00045578447,"about_ca_system_score_gemma":0.00027345482,"threshold_uncertainty_score":0.05106038},"labels":[],"label_agreement":null},{"id":"W3121429012","doi":"10.1111/jofi.12769","title":"Price Discovery without Trading: Evidence from Limit Orders","year":2019,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":260,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Price discovery; Limit (mathematics); Volatility (finance); Economics; Adverse selection; Econometrics; Financial economics; Microeconomics; Mathematics","score_opus":0.04108773999467968,"score_gpt":0.22272436392815556,"score_spread":0.18163662393347588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121429012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964011,0.00019701738,0.0007414565,0.00019650567,0.0000128128,0.000013237436,0.00020745439,0.000022788698,0.0022076636],"genre_scores_gemma":[0.9992003,0.00006362408,0.00018104308,0.000035278248,0.000047992875,0.0000053834347,0.00016171063,0.000009386415,0.00029534003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944338,0.0014251358,0.0005489098,0.00074016943,0.0022876554,0.00056427787],"domain_scores_gemma":[0.7196224,0.18963698,0.059217084,0.020041408,0.006570156,0.0049119648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063131233,0.00026737648,0.00090408267,0.0015437242,0.00069158926,0.0030290373,0.0010696979,0.0016084351,0.0047876365],"category_scores_gemma":[0.10937917,0.00052906806,0.000502095,0.0015362281,0.0016409211,0.0025466161,0.00161246,0.0017702213,0.0010734643],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045741578,0.0013996622,0.94254076,0.00021586246,0.00042582705,0.002132161,0.0012010655,0.0039877133,0.0052640224,0.005469092,0.001984881,0.030804852],"study_design_scores_gemma":[0.00037733588,0.0008973144,0.94402254,0.000049355207,0.00024414537,0.0024919459,0.00070586783,0.02623086,0.0057967524,0.016652588,0.0024016425,0.00012964758],"about_ca_topic_score_codex":0.001483519,"about_ca_topic_score_gemma":0.00072536996,"teacher_disagreement_score":0.0063131233,"about_ca_system_score_codex":0.00042315802,"about_ca_system_score_gemma":0.00039995208,"threshold_uncertainty_score":0.033387423},"labels":[],"label_agreement":null},{"id":"W3121441234","doi":"10.2139/ssrn.251769","title":"The Bond/Old-Bond Spread","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Bond; Business; Financial system; Finance","score_opus":0.010929387422308735,"score_gpt":0.1978021165300877,"score_spread":0.18687272910777897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121441234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8843846,0.003947167,0.05735505,0.0034150095,0.00029176348,0.000035780988,0.0006006024,0.00023276749,0.049737297],"genre_scores_gemma":[0.9901259,0.0008588004,0.0015293487,0.00007158401,0.00018678479,0.0000085271295,0.0001236488,0.000029153342,0.0070661763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99979013,0.00007522925,0.000011879113,0.00004727693,0.00005192994,0.000023493227],"domain_scores_gemma":[0.9950665,0.0028384551,0.0006939621,0.0003961146,0.00049824256,0.0005066861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017395398,0.00033162275,0.00044426834,0.0011339395,0.00035908955,0.0017767146,0.0006929378,0.0014338351,0.008743958],"category_scores_gemma":[0.017372571,0.00019801647,0.00023095615,0.00074229774,0.0009577775,0.0038728071,0.0007667464,0.0017260071,0.0011073537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046888078,0.000108828,0.020703426,0.00012327572,0.00008729045,0.00081584894,0.00043539258,0.030873915,0.006547824,0.8578894,0.009928697,0.07201729],"study_design_scores_gemma":[0.000096469994,0.0001303439,0.03213066,0.000072487346,0.000081537575,0.0014343144,0.0005324633,0.19068477,0.0025853151,0.76513666,0.007041693,0.00007330768],"about_ca_topic_score_codex":0.0004884581,"about_ca_topic_score_gemma":0.00033407056,"teacher_disagreement_score":0.008743958,"about_ca_system_score_codex":0.0003750966,"about_ca_system_score_gemma":0.00019335913,"threshold_uncertainty_score":0.029251516},"labels":[],"label_agreement":null},{"id":"W3121466876","doi":"","title":"Optimal Investment and Asymmetric Risk for a Large Portfolio: A Large Deviations Approach","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Western University","funders":"","keywords":"Portfolio; Econometrics; Portfolio optimization; Post-modern portfolio theory; Asset allocation; Replicating portfolio; Economics; Rate of return on a portfolio; Modern portfolio theory; Capital asset pricing model; Equity (law); Parametric statistics; Actuarial science; Information asymmetry; Financial economics; Microeconomics; Mathematics; Statistics","score_opus":0.018731289710785453,"score_gpt":0.213932151733478,"score_spread":0.19520086202269255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121466876","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049637288,0.000491366,0.94637954,0.0007080312,0.000020408805,0.000033040782,0.000042948355,0.000082765466,0.0026045644],"genre_scores_gemma":[0.862557,0.0006360984,0.13210784,0.00025089402,0.00016060448,0.00017684007,0.00017363977,0.00010696289,0.0038301016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979126,0.0011762179,0.00008091273,0.00029345718,0.00041229007,0.00012457142],"domain_scores_gemma":[0.98377466,0.013661691,0.0010790599,0.0006036176,0.0005032124,0.00037780812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006869302,0.0009788708,0.0022313972,0.0015942558,0.000453856,0.0020979324,0.0017053459,0.001467653,0.002127773],"category_scores_gemma":[0.024337448,0.0010528739,0.000982864,0.0009721025,0.0020496508,0.002808948,0.0017331418,0.0019821895,0.00023786674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009518168,0.00008297603,0.0021267473,0.000065267726,0.00015301544,0.0001392143,0.000058344416,0.838251,0.0007810016,0.14160714,0.0006219183,0.016018242],"study_design_scores_gemma":[0.000015050288,0.000015996095,0.00021565318,0.000007795241,0.000010930089,0.000013701992,0.000005792208,0.9521207,0.00015320886,0.0473078,0.000123847,0.000009606278],"about_ca_topic_score_codex":0.001548441,"about_ca_topic_score_gemma":0.001499113,"teacher_disagreement_score":0.006869302,"about_ca_system_score_codex":0.0017227639,"about_ca_system_score_gemma":0.0012564332,"threshold_uncertainty_score":0.036328793},"labels":[],"label_agreement":null},{"id":"W3121479294","doi":"10.1111/jofi.12836","title":"Where Is the Risk in Value? Evidence from a Market‐to‐Book Decomposition","year":2019,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Value premium; Economics; Capital asset pricing model; Portfolio; Value (mathematics); Cash flow; Financial economics; Operating leverage; Market value; Component (thermodynamics); Risk premium; Market portfolio; Intrinsic value (animal ethics); Arbitrage; Econometrics; Leverage (statistics); Systematic risk; Predictability; Mathematics; Finance; Profitability index; Statistics","score_opus":0.019008779729790034,"score_gpt":0.22966892886340548,"score_spread":0.21066014913361544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121479294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9297392,0.004694232,0.028249532,0.0046186657,0.00011211457,0.000038883678,0.0006909392,0.00010586416,0.03175049],"genre_scores_gemma":[0.9975783,0.00047565746,0.00081981375,0.000100791454,0.000093983814,0.000002760921,0.00014175563,0.000015393658,0.0007715876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991714,0.0001528699,0.00005750214,0.00017929748,0.00036174693,0.00007717713],"domain_scores_gemma":[0.96511245,0.021602014,0.0065137134,0.0030634152,0.0023625551,0.0013458481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035688097,0.0002962925,0.0006952351,0.0023149378,0.00032379778,0.0036247892,0.00072916795,0.00079736486,0.0071155983],"category_scores_gemma":[0.027536718,0.00024372175,0.0004499794,0.0014857656,0.0017167488,0.0036886886,0.0011761928,0.0016876446,0.0006101921],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010772205,0.00052558497,0.37722716,0.00033980305,0.00040623648,0.0005141512,0.0013949001,0.008046841,0.0045612175,0.39006093,0.008706001,0.20714001],"study_design_scores_gemma":[0.000087135646,0.00025680073,0.37754685,0.00022702756,0.00024286965,0.0005255173,0.0010539368,0.05728309,0.0031478214,0.5501865,0.009360637,0.00008186214],"about_ca_topic_score_codex":0.0017169163,"about_ca_topic_score_gemma":0.0010324877,"teacher_disagreement_score":0.0071155983,"about_ca_system_score_codex":0.00060261023,"about_ca_system_score_gemma":0.00029185382,"threshold_uncertainty_score":0.023804069},"labels":[],"label_agreement":null},{"id":"W3121491875","doi":"","title":"An Empirical Investigation of Herding Behavior in the U.S. REIT Market","year":2013,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Real estate investment trust; Herding; Herd behavior; Equity (law); Financial economics; Business; Monetary economics; Herd; Economics; Financial crisis; Finance; Real estate; Geography","score_opus":0.1084381931638008,"score_gpt":0.37496630500848316,"score_spread":0.2665281118446824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121491875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99912804,0.00008845976,0.00022566748,0.00007024327,0.000001564513,0.0000046005966,0.00004137387,0.000004554263,0.00043553652],"genre_scores_gemma":[0.9995627,0.000054240678,0.00010695938,0.000019319186,0.000003577233,0.0000024909982,0.000062759136,0.0000011785824,0.00018689447],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999744,0.00008190873,0.000017228625,0.000040821258,0.000049433922,0.00006647014],"domain_scores_gemma":[0.99412584,0.0018315685,0.0030729098,0.0003054379,0.00033244543,0.00033179103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010951097,0.00015160727,0.00027022013,0.00074137765,0.00039103642,0.00062814704,0.00032605103,0.0004979693,0.0018065725],"category_scores_gemma":[0.005862464,0.00011282998,0.00015659754,0.00084072596,0.0003781511,0.0010160558,0.0003405087,0.0005127244,0.00025620568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020227411,0.0002159407,0.97194654,0.000030762876,0.00010182103,0.0005189964,0.0015957243,0.002515313,0.0013148383,0.0015253098,0.0013301191,0.018702356],"study_design_scores_gemma":[0.000011545263,0.00025047394,0.9650208,0.000022794638,0.00003487006,0.00031289455,0.0025576828,0.029693818,0.00049991754,0.00067070726,0.0009061169,0.000018436209],"about_ca_topic_score_codex":0.007718023,"about_ca_topic_score_gemma":0.007820165,"teacher_disagreement_score":0.007718023,"about_ca_system_score_codex":0.00038005985,"about_ca_system_score_gemma":0.00014913936,"threshold_uncertainty_score":0.015346229},"labels":[],"label_agreement":null},{"id":"W3121492904","doi":"10.3390/jrfm14110542","title":"Maximum Drawdown, Recovery, and Momentum","year":2021,"lang":"en","type":"preprint","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sharpe ratio; Econometrics; Drawdown (hydrology); Predictability; Economics; Capital asset pricing model; Ranking (information retrieval); Momentum (technical analysis); Stock (firearms); Contrarian; Financial economics; Statistics; Mathematics; Portfolio; Computer science; Engineering","score_opus":0.013763507354856814,"score_gpt":0.19556521762747112,"score_spread":0.1818017102726143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121492904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99162865,0.000083445295,0.00741702,0.000042534375,0.0000061288674,0.00001918034,0.00015987222,0.00008412824,0.0005590329],"genre_scores_gemma":[0.9983145,0.000025840634,0.0012323064,0.000007742592,0.0000058294245,0.00001050984,0.00026463985,0.000006290164,0.00013243122],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986179,0.000306737,0.00014683559,0.00028904562,0.00045447933,0.00018502993],"domain_scores_gemma":[0.97147006,0.017104002,0.006157943,0.0031047435,0.001109654,0.0010535605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004145234,0.0007286112,0.0005718815,0.0014512464,0.00028702506,0.00093088753,0.0006577574,0.00072208483,0.0009282123],"category_scores_gemma":[0.035857413,0.00023476037,0.00067750085,0.001010094,0.0007001434,0.0016637612,0.0007059012,0.00079362513,0.00017861993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024108253,0.0007894215,0.6462419,0.0001223801,0.00051210786,0.00075542333,0.00023424564,0.23780602,0.008109519,0.0068737585,0.0011767972,0.09496757],"study_design_scores_gemma":[0.00008134101,0.0017865718,0.28590912,0.000022170776,0.00011594939,0.00034341472,0.000084603125,0.6925981,0.009480416,0.009081084,0.00043023442,0.00006710816],"about_ca_topic_score_codex":0.0014799028,"about_ca_topic_score_gemma":0.0010287326,"teacher_disagreement_score":0.004145234,"about_ca_system_score_codex":0.00033097525,"about_ca_system_score_gemma":0.0003991402,"threshold_uncertainty_score":0.02192235},"labels":[],"label_agreement":null},{"id":"W3121501983","doi":"10.1111/j.1540-5982.2009.01525.x","title":"Smart fund managers? Stupid money?","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mutual fund; Manager of managers fund; Target date fund; Closed-end fund; Fund of funds; Open-end fund; Fund administration; Incentive; Index fund; Quarter (Canadian coin); Income fund; Position (finance); Economics; Monetary economics; Investment management; Cash; Business; Finance; Institutional investor; Microeconomics","score_opus":0.1522466189280717,"score_gpt":0.1817325144760564,"score_spread":0.029485895547984697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121501983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6192864,0.003312595,0.109683774,0.07584552,0.0004071811,0.00012220927,0.0013833322,0.00035732755,0.18960159],"genre_scores_gemma":[0.98120785,0.00048209485,0.0022389332,0.00039935045,0.00008167176,0.00003533085,0.00006132644,0.000012623388,0.015480746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99961495,0.00014410907,0.000009441061,0.000062128485,0.00004918857,0.00012018759],"domain_scores_gemma":[0.99862266,0.0005895096,0.00034925656,0.000059895265,0.00008795079,0.00029069596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011093123,0.00040106714,0.00068453985,0.00045398125,0.00070525805,0.0029557366,0.00091981003,0.0028142035,0.0094011435],"category_scores_gemma":[0.0057731043,0.00035762496,0.00032865978,0.00045855783,0.0015408025,0.0029408042,0.000808612,0.0016102453,0.00090485404],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002329775,0.000118948796,0.007281863,0.000071620496,0.000040008064,0.000845691,0.0008054863,0.14444034,0.0004636529,0.8141559,0.015431448,0.016112046],"study_design_scores_gemma":[0.00016280192,0.000090465,0.0030510721,0.000052884243,0.000032150794,0.00029044895,0.00055589725,0.42443407,0.00024096029,0.55734575,0.013693157,0.00005029909],"about_ca_topic_score_codex":0.009340933,"about_ca_topic_score_gemma":0.0060538566,"teacher_disagreement_score":0.0094011435,"about_ca_system_score_codex":0.001835804,"about_ca_system_score_gemma":0.0012731684,"threshold_uncertainty_score":0.031449974},"labels":[],"label_agreement":null},{"id":"W3121512170","doi":"","title":"Personality and Response to the Financial Crisis","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Conscientiousness; Openness to experience; Psychological intervention; Personality; Big Five personality traits; Psychology; Quarter (Canadian coin); Earnings; Demographic economics; Survey data collection; Financial crisis; Social psychology; Finance; Economics; Extraversion and introversion; Psychiatry","score_opus":0.06642346806669516,"score_gpt":0.28909000322519524,"score_spread":0.22266653515850007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121512170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988201,0.000093803515,0.00006484129,0.00013370365,0.000010519425,0.000005693338,0.00006564736,0.0000027445565,0.00080290245],"genre_scores_gemma":[0.9996057,0.000048793416,0.00005162161,0.000041304018,0.000008288044,0.0000033235888,0.00005756451,7.0107825e-7,0.00018270775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965847,0.00013205636,0.000032731034,0.000042530835,0.00006730585,0.000066899556],"domain_scores_gemma":[0.9969778,0.00047072762,0.0016168992,0.00017054495,0.00017630415,0.0005877511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084529613,0.00012607782,0.00013799632,0.0005281727,0.00032270528,0.0006352615,0.00013246381,0.00034347564,0.0018749777],"category_scores_gemma":[0.005808223,0.00008821447,0.0002772649,0.00042832093,0.0002541576,0.00029327945,0.00053389126,0.0007004167,0.00017650532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008104384,0.00008451218,0.9924505,0.0000098395585,0.00004544293,0.00009947642,0.00042493595,0.00014926872,0.00019017166,0.00007024357,0.00021909236,0.006175466],"study_design_scores_gemma":[0.0000011212271,0.000021919812,0.99949205,0.0000037466668,0.0000021985454,0.000049423492,0.00015779735,0.000104426974,0.000014056413,0.000047873662,0.00010312014,0.000002291255],"about_ca_topic_score_codex":0.002462528,"about_ca_topic_score_gemma":0.0031907838,"teacher_disagreement_score":0.002462528,"about_ca_system_score_codex":0.00021630117,"about_ca_system_score_gemma":0.00011502963,"threshold_uncertainty_score":0.006272435},"labels":[],"label_agreement":null},{"id":"W3121512853","doi":"","title":"The Return Premiums to Accruals Quality","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Decile; Accrual; Econometrics; Portfolio; Economics; Earnings; Actuarial science; Financial economics; Statistics; Mathematics; Finance","score_opus":0.05159870582377685,"score_gpt":0.2691704332916657,"score_spread":0.21757172746788883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121512853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98677003,0.00079186074,0.006324012,0.0004527706,0.000040450865,0.000032554617,0.00049197633,0.00016423962,0.004932137],"genre_scores_gemma":[0.99857795,0.000093536124,0.0004112961,0.000042360618,0.000036661917,0.0000041052954,0.0002028998,0.000013284297,0.0006178211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843985,0.00024614736,0.00013837275,0.00021824446,0.0007753711,0.00018203331],"domain_scores_gemma":[0.95447993,0.01807152,0.019083016,0.0036984447,0.0026965507,0.0019705559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033571466,0.00042436668,0.0004548337,0.0018005394,0.00013360092,0.001648042,0.00050742924,0.0008468437,0.004452421],"category_scores_gemma":[0.04148463,0.00020314903,0.0006503549,0.0012015422,0.00064396666,0.0015265797,0.0010568822,0.0012876384,0.000709549],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009307713,0.00039282255,0.8697445,0.00012766711,0.0003334732,0.00036132778,0.00033794253,0.015433923,0.009440712,0.011523922,0.0015106333,0.08986239],"study_design_scores_gemma":[0.000023589997,0.0002778427,0.9746782,0.000016925673,0.00006412976,0.0003374022,0.000064313754,0.011005437,0.0019984576,0.010730173,0.000760539,0.00004289943],"about_ca_topic_score_codex":0.001153676,"about_ca_topic_score_gemma":0.0006217044,"teacher_disagreement_score":0.004452421,"about_ca_system_score_codex":0.0005459431,"about_ca_system_score_gemma":0.00027566598,"threshold_uncertainty_score":0.017754495},"labels":[],"label_agreement":null},{"id":"W3121513555","doi":"10.3386/w14804","title":"Maxing Out: Stocks as Lotteries and the Cross-Section of Expected Returns","year":2009,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Section (typography); Economics; Econometrics; Financial economics; Business; Advertising","score_opus":0.25770922202224544,"score_gpt":0.4411325577926131,"score_spread":0.18342333577036768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121513555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9714409,0.0007295279,0.024930932,0.0004675535,0.000021777714,0.000017337656,0.00016212596,0.00008122506,0.0021486008],"genre_scores_gemma":[0.9968329,0.00019801503,0.0017184822,0.00005167063,0.000041300766,0.00001547959,0.00020531441,0.000014919921,0.0009218589],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991646,0.00046008395,0.00004495948,0.00015606437,0.00008551099,0.00008891041],"domain_scores_gemma":[0.96345156,0.026019009,0.005805177,0.0024883426,0.0007210266,0.0015148511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007421815,0.0004352047,0.00071380415,0.001301279,0.0004018967,0.0021245596,0.00084955804,0.0008028315,0.004525825],"category_scores_gemma":[0.031544674,0.0003588611,0.00051913486,0.0012310364,0.0015770032,0.0028660886,0.00093850447,0.0009822372,0.00037956578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014209275,0.00059711334,0.5939588,0.00017543836,0.0009113578,0.0010642606,0.0010094702,0.08097402,0.0060561257,0.23666601,0.0026935241,0.07447299],"study_design_scores_gemma":[0.00009265277,0.0004693086,0.3400939,0.00007495118,0.00020200822,0.00076842,0.00042441115,0.29489475,0.0025621108,0.3588527,0.0014515588,0.00011313254],"about_ca_topic_score_codex":0.001092539,"about_ca_topic_score_gemma":0.00086673844,"teacher_disagreement_score":0.007421815,"about_ca_system_score_codex":0.00052080984,"about_ca_system_score_gemma":0.00029044287,"threshold_uncertainty_score":0.03925079},"labels":[],"label_agreement":null},{"id":"W3121522575","doi":"10.1111/j.1540-6288.2007.00183.x","title":"Diversification in Portfolios of Individual Stocks: 100 Stocks Are Not Enough","year":2007,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; York University","funders":"","keywords":"Diversification (marketing strategy); Portfolio; Economics; Econometrics; Financial economics; Business; Monetary economics","score_opus":0.06169298901239407,"score_gpt":0.26176741446176843,"score_spread":0.20007442544937437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121522575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99757844,0.0003227324,0.0012186312,0.00011864715,0.0000033663125,0.0000057834122,0.000044902754,0.0000063615594,0.0007010996],"genre_scores_gemma":[0.9992761,0.00011745861,0.00032428175,0.000021057642,0.0000034106774,0.0000024375572,0.00006353171,0.0000011904564,0.0001905318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997603,0.000063266285,0.000017550645,0.00004024623,0.00008029453,0.00003827408],"domain_scores_gemma":[0.9974989,0.0012798425,0.0006411909,0.00017779625,0.0002283491,0.00017398097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016836878,0.00020501942,0.0004237189,0.0005808087,0.0002318159,0.00074052927,0.00020642443,0.00040263316,0.0009184566],"category_scores_gemma":[0.0063713295,0.00012584445,0.00028028953,0.0006375992,0.00045941712,0.00085697457,0.00043596062,0.00037239512,0.00012972568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018540467,0.0003296353,0.58136624,0.00017299077,0.0013092683,0.0017338188,0.0003608585,0.2430513,0.01646648,0.014876148,0.0028369646,0.13564222],"study_design_scores_gemma":[0.00013697056,0.0013113702,0.6253717,0.00011795153,0.00042413702,0.0016173575,0.00076701783,0.3137123,0.008358602,0.04415181,0.003967022,0.000063715335],"about_ca_topic_score_codex":0.0016226209,"about_ca_topic_score_gemma":0.0018504083,"teacher_disagreement_score":0.0016836878,"about_ca_system_score_codex":0.0005023937,"about_ca_system_score_gemma":0.0002021522,"threshold_uncertainty_score":0.008904278},"labels":[],"label_agreement":null},{"id":"W3121529574","doi":"10.1093/rfs/hhw024","title":"Horizon Effects in Average Returns: The Role of Slow Information Diffusion","year":2016,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Horizon; Economics; Portfolio; Contrast (vision); Econometrics; Financial economics; Excess return; Mathematics; Computer science; Geography","score_opus":0.01376704533851552,"score_gpt":0.22125061801474794,"score_spread":0.2074835726762324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121529574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8057495,0.021552095,0.1480844,0.004470502,0.00025762495,0.00007343312,0.000615016,0.00030673548,0.018890642],"genre_scores_gemma":[0.9889719,0.0033826139,0.0058538164,0.00018810891,0.0002814909,0.000017672031,0.00012541514,0.00003182604,0.0011471129],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99911994,0.00022298213,0.00007128942,0.00024471586,0.00025569805,0.000085261905],"domain_scores_gemma":[0.96112406,0.023801519,0.010533079,0.002489154,0.0014135159,0.00063864543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004467994,0.00044762128,0.0005776401,0.0018796874,0.0003445461,0.0024736172,0.0007038154,0.00095729163,0.0015856419],"category_scores_gemma":[0.036151547,0.00039945808,0.00047804427,0.001878016,0.0013246824,0.0052147405,0.0011830154,0.0014695744,0.00028746377],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007617923,0.00024060385,0.25036675,0.00078933564,0.0008770241,0.0013990247,0.002572317,0.08924363,0.019116504,0.2927646,0.0049459445,0.3369225],"study_design_scores_gemma":[0.000081655206,0.000538536,0.34330648,0.00031977723,0.0004853265,0.00078889565,0.0004507488,0.14342453,0.006845359,0.49177456,0.011690809,0.0002932726],"about_ca_topic_score_codex":0.0016343497,"about_ca_topic_score_gemma":0.00090125564,"teacher_disagreement_score":0.004467994,"about_ca_system_score_codex":0.0007168873,"about_ca_system_score_gemma":0.00038895552,"threshold_uncertainty_score":0.023629308},"labels":[],"label_agreement":null},{"id":"W3121531468","doi":"10.1111/j.1540-6288.2006.00135.x","title":"Variance Spillover and Skewness in Financial Asset Returns","year":2006,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Skewness; Econometrics; Spillover effect; Variance (accounting); Conditional variance; Economics; Stock (firearms); Capital asset pricing model; Financial economics; Autoregressive conditional heteroskedasticity; Volatility (finance); Accounting; Geography","score_opus":0.01970196828317686,"score_gpt":0.21976991780969424,"score_spread":0.20006794952651738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121531468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844922,0.0007242527,0.008457752,0.00027634943,0.000012333343,0.000012422751,0.00009819471,0.00006963008,0.0058569075],"genre_scores_gemma":[0.99938357,0.0001483652,0.0002633444,0.000011159973,0.0000117713635,0.0000015117057,0.000025455332,0.000002141906,0.00015258597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995876,0.00015968792,0.00003383023,0.000051897587,0.00011584419,0.000051183797],"domain_scores_gemma":[0.9894103,0.0062254583,0.0023775755,0.0010500699,0.0006633517,0.00027336157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001974865,0.00016530075,0.00041794177,0.000898104,0.00014273055,0.0010728085,0.00017327083,0.00033614747,0.002670527],"category_scores_gemma":[0.012787726,0.00016386765,0.00033783106,0.0006659336,0.0007002442,0.00088238646,0.00068896817,0.0004994365,0.00025198483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006972565,0.00036007227,0.6388012,0.00027887744,0.0005828107,0.0013958894,0.0009254624,0.060166597,0.016510164,0.14303109,0.002685351,0.13456519],"study_design_scores_gemma":[0.00004849943,0.00023564565,0.754799,0.000107357046,0.0001989592,0.0010842584,0.0004836749,0.08377588,0.004931936,0.15252382,0.0017381264,0.00007292544],"about_ca_topic_score_codex":0.0010740899,"about_ca_topic_score_gemma":0.00066066906,"teacher_disagreement_score":0.002670527,"about_ca_system_score_codex":0.0004728459,"about_ca_system_score_gemma":0.00029271824,"threshold_uncertainty_score":0.010444224},"labels":[],"label_agreement":null},{"id":"W3121533421","doi":"10.1007/s11142-015-9338-7","title":"Accounting-based downside risk, cost of capital, and the macroeconomy","year":2015,"lang":"en","type":"article","venue":"Review of Accounting Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Public finance; Corporate finance; Economics; Downside risk; Cost of capital; Capital structure; Accounting; Financial economics; Macroeconomics; Finance; Microeconomics; Debt","score_opus":0.05027831986363599,"score_gpt":0.27236251036270037,"score_spread":0.2220841904990644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121533421","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03446646,0.9379541,0.004945197,0.008293672,0.00044397888,0.0000101754285,0.000275558,0.000026065398,0.013584678],"genre_scores_gemma":[0.37362143,0.61887795,0.0017824275,0.0006505883,0.0026732516,0.000010383412,0.00020851164,0.000013288833,0.002162192],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989128,0.00035644256,0.00011119386,0.000116420306,0.00045027802,0.000052878593],"domain_scores_gemma":[0.9901209,0.0052413936,0.0029030775,0.0003401645,0.001236907,0.00015758265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021096165,0.00049894233,0.00054711284,0.0028597713,0.00033543105,0.0034914748,0.00049201446,0.0012528874,0.0017411122],"category_scores_gemma":[0.013834994,0.00025088666,0.00031431566,0.0066370657,0.001635609,0.0036572756,0.0005000138,0.0013077336,0.00024674824],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016312221,0.00014229494,0.060988847,0.0021661797,0.0004487016,0.00029450533,0.00021058932,0.02136541,0.00078421854,0.39145863,0.025370616,0.4966069],"study_design_scores_gemma":[0.000026735861,0.00011217684,0.20316283,0.0030348974,0.00043412426,0.0014371211,0.0007288311,0.016017664,0.00086748454,0.6378011,0.13622124,0.00015577301],"about_ca_topic_score_codex":0.0035387354,"about_ca_topic_score_gemma":0.0043327506,"teacher_disagreement_score":0.0035387354,"about_ca_system_score_codex":0.0013416155,"about_ca_system_score_gemma":0.0015952059,"threshold_uncertainty_score":0.011156857},"labels":[],"label_agreement":null},{"id":"W3121546316","doi":"10.1016/j.jfineco.2010.10.001","title":"Exchange trading rules and stock market liquidity☆","year":2010,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":318,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Alternative trading system; Dark liquidity; Open outcry; Insider trading; Stock exchange; Algorithmic trading; Flash trading; Market liquidity; Market maker; Business; Electronic trading; Financial economics; Stock market; High-frequency trading; Stock (firearms); Monetary economics; Economics; Finance","score_opus":0.025795662153251693,"score_gpt":0.20879148000065803,"score_spread":0.18299581784740634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121546316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830473,0.0013281442,0.0051358575,0.0016402856,0.00008224436,0.0000069722937,0.0002082731,0.00003732817,0.008513671],"genre_scores_gemma":[0.9968573,0.0004085048,0.00038412752,0.00005002345,0.000062782914,0.0000022636113,0.00012671725,0.000007416548,0.0021009257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998777,0.00004672337,0.000017110551,0.000020914486,0.000021460459,0.00001598448],"domain_scores_gemma":[0.988208,0.008790062,0.0017021722,0.0003228432,0.0004678441,0.00050915097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011850817,0.0001587839,0.00031664482,0.0005757062,0.00028210858,0.0026549299,0.0002881157,0.0006623612,0.00448061],"category_scores_gemma":[0.014076129,0.00021479004,0.00019508807,0.00048386934,0.00050638005,0.0020556424,0.00028591946,0.0008385098,0.00045301917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027412723,0.0006519085,0.47239804,0.00020748169,0.00057522004,0.0025117248,0.0010894475,0.053784296,0.005599341,0.35287422,0.011107585,0.09645946],"study_design_scores_gemma":[0.0003083285,0.00025289773,0.22532573,0.000084136715,0.0002824445,0.0014767573,0.00072445907,0.22713688,0.0017604862,0.53576434,0.0067846156,0.000098880264],"about_ca_topic_score_codex":0.00083690096,"about_ca_topic_score_gemma":0.00086636434,"teacher_disagreement_score":0.00448061,"about_ca_system_score_codex":0.0002481125,"about_ca_system_score_gemma":0.00015100492,"threshold_uncertainty_score":0.014989078},"labels":[],"label_agreement":null},{"id":"W3121547111","doi":"10.2139/ssrn.1662737","title":"Correlations between Stock Returns and Bond Returns: Income and Substitution Effects","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Economics; Substitution (logic); Bond; Stock (firearms); Monetary economics; Econometrics; Finance; Geography","score_opus":0.012527096812868361,"score_gpt":0.21340773756579154,"score_spread":0.20088064075292317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121547111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954396,0.0005813596,0.0015809454,0.0004366221,0.00003516398,0.000011549826,0.00045875597,0.000027354932,0.0014287779],"genre_scores_gemma":[0.9974661,0.00029825245,0.00018773178,0.000060922543,0.00005201617,0.0000066078373,0.00038994383,0.000016346912,0.0015221757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840444,0.0007558462,0.00014976934,0.00025903474,0.00017723072,0.00025378368],"domain_scores_gemma":[0.91490495,0.062438898,0.011932102,0.0055293287,0.0023952955,0.0027994735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055480176,0.000664052,0.0010235397,0.0010482026,0.00037793035,0.0020789437,0.0007838876,0.0016598183,0.010751115],"category_scores_gemma":[0.028739098,0.0006766523,0.0016436599,0.0015967725,0.0011912851,0.0015739212,0.0010687256,0.002380684,0.0016988914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001181894,0.00030082648,0.98055947,0.000044033946,0.00084154867,0.000455336,0.00026644452,0.0043910155,0.001188182,0.0029651343,0.0006410437,0.007165153],"study_design_scores_gemma":[0.0000823793,0.00027026492,0.9798763,0.000035931065,0.00078746973,0.00033846387,0.00023932115,0.011395651,0.0008013621,0.0056034625,0.00052968063,0.000039643466],"about_ca_topic_score_codex":0.0036150496,"about_ca_topic_score_gemma":0.004747288,"teacher_disagreement_score":0.010751115,"about_ca_system_score_codex":0.00033529356,"about_ca_system_score_gemma":0.0006431309,"threshold_uncertainty_score":0.0359661},"labels":[],"label_agreement":null},{"id":"W3121559339","doi":"","title":"Does Size Affect Mutual Fund Performance? A General Approach","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mutual fund; Quadratic equation; Mutual information; Affect (linguistics); Econometrics; Measure (data warehouse); Mathematics; Computer science; Statistics; Economics; Data mining; Psychology; Finance","score_opus":0.03193201658675102,"score_gpt":0.20287725814264526,"score_spread":0.17094524155589425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121559339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7591252,0.009504559,0.16390426,0.014335535,0.0001830871,0.00038662998,0.0010744178,0.00050188386,0.05098446],"genre_scores_gemma":[0.98889506,0.0014060346,0.0049360977,0.0004922929,0.00018757732,0.00005808226,0.0001493782,0.000023089122,0.003852388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99800795,0.000850368,0.00007546243,0.00058182277,0.0002853904,0.00019907125],"domain_scores_gemma":[0.9928986,0.004186244,0.0014511859,0.0006884119,0.0004354301,0.00034015853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004866768,0.0012391638,0.0017659856,0.0015044457,0.00055925257,0.0024026942,0.0016990806,0.001973349,0.007800315],"category_scores_gemma":[0.011445208,0.00031795772,0.0018984239,0.0016603692,0.0024543304,0.0031899803,0.0020314897,0.0013390732,0.00054307975],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012171266,0.0007881067,0.3159784,0.0010479053,0.0034285777,0.0020635668,0.0020258958,0.104676805,0.0077564707,0.41112188,0.003980741,0.14591455],"study_design_scores_gemma":[0.00022829523,0.0018184949,0.27093253,0.00021533185,0.001548588,0.0007767335,0.0013630403,0.12693875,0.002345238,0.57847124,0.0151567,0.00020505463],"about_ca_topic_score_codex":0.0047024568,"about_ca_topic_score_gemma":0.0027831395,"teacher_disagreement_score":0.007800315,"about_ca_system_score_codex":0.001274037,"about_ca_system_score_gemma":0.0010428185,"threshold_uncertainty_score":0.026094615},"labels":[],"label_agreement":null},{"id":"W3121568010","doi":"10.1093/rof/rft004","title":"Risk Premium, Variance Premium, and the Maturity Structure of Uncertainty","year":2013,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Variance risk premium; Risk premium; Skewness; Econometrics; Economics; Variance (accounting); Liquidity premium; Equity premium puzzle; Volatility risk premium; Kurtosis; Term (time); Maturity (psychological); Bond; Capital asset pricing model; Financial economics; Volatility (finance); Monetary economics; Market liquidity; Liquidity risk; Mathematics; Stochastic volatility; Statistics; Finance","score_opus":0.012383462899273622,"score_gpt":0.19311864029038078,"score_spread":0.18073517739110717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121568010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89143115,0.017136745,0.07340094,0.003476611,0.00011070997,0.00002656122,0.00037216,0.00008105865,0.013964042],"genre_scores_gemma":[0.9973678,0.0012601657,0.0008124754,0.000026252326,0.00006402821,0.0000026139892,0.00005941315,0.000003176324,0.00040407374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99961495,0.0001331108,0.000020972957,0.000059879585,0.00013293751,0.000038073358],"domain_scores_gemma":[0.9922084,0.0048120506,0.001868086,0.00028831937,0.0005992013,0.00022393517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017137742,0.0002940833,0.0003403263,0.0007734977,0.000108098,0.0012727063,0.00031118494,0.0006648289,0.0017465333],"category_scores_gemma":[0.011906885,0.00014467603,0.00027030386,0.00064924173,0.0006006526,0.0012200966,0.00044859154,0.00076113647,0.00013566004],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038440275,0.00017671146,0.17103626,0.0003732906,0.00049514085,0.000559498,0.0002193865,0.12608883,0.008350496,0.5978994,0.0039476356,0.09046896],"study_design_scores_gemma":[0.000034222852,0.00014956798,0.10779306,0.00013881197,0.00015807412,0.00041580928,0.00011420615,0.2009798,0.0017399394,0.6860377,0.0023783012,0.0000604703],"about_ca_topic_score_codex":0.0009786773,"about_ca_topic_score_gemma":0.000582489,"teacher_disagreement_score":0.0017465333,"about_ca_system_score_codex":0.00054335676,"about_ca_system_score_gemma":0.00036805207,"threshold_uncertainty_score":0.009063363},"labels":[],"label_agreement":null},{"id":"W3121575628","doi":"10.2139/ssrn.1151835","title":"L-Performance with an Application to Hedge Funds","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; York University; University of Toronto","funders":"","keywords":"Hedge fund; Business; Alternative beta; Global assets under management; Finance; Institutional investor; Corporate governance","score_opus":0.016191252997538944,"score_gpt":0.19974394120427597,"score_spread":0.18355268820673704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121575628","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21224128,0.0022477785,0.70713246,0.0035766996,0.00042852882,0.00014760563,0.0010071759,0.0032467202,0.06997175],"genre_scores_gemma":[0.9203838,0.00048145567,0.0686344,0.00015127283,0.00035213033,0.000078528945,0.00033718464,0.00029363148,0.009287708],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985072,0.0009175639,0.000061004335,0.00014458143,0.00021658918,0.00015287628],"domain_scores_gemma":[0.9932828,0.0043647997,0.0005909506,0.00056375534,0.00088764785,0.00031010094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004291848,0.0007709331,0.0008323967,0.002170994,0.0007306638,0.0020136407,0.00082232605,0.0018416616,0.008122358],"category_scores_gemma":[0.020390626,0.00017671954,0.0005209464,0.002434806,0.00086046645,0.0015422726,0.0020545744,0.0012437038,0.0013687485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044142967,0.0004811531,0.018046057,0.00029774418,0.00011480062,0.0008270396,0.00055424636,0.31600645,0.0022118841,0.33366942,0.023329949,0.30401996],"study_design_scores_gemma":[0.000037123486,0.00017573101,0.0030035763,0.00004392986,0.000026024132,0.00018871893,0.00019230072,0.88362193,0.0014716639,0.10624883,0.0049507422,0.000039543793],"about_ca_topic_score_codex":0.0033345735,"about_ca_topic_score_gemma":0.0018898958,"teacher_disagreement_score":0.008122358,"about_ca_system_score_codex":0.0012098236,"about_ca_system_score_gemma":0.00069434155,"threshold_uncertainty_score":0.02717197},"labels":[],"label_agreement":null},{"id":"W3121577822","doi":"","title":"The Turn-of-the-Year Effect and Tax-Loss-Selling by Institutional Investors","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capitalization; Quarter (Canadian coin); Incentive; Institutional investor; Monetary economics; Market capitalization; Business; Point (geometry); Basis point; Economics; Finance; Interest rate; Market economy; Corporate governance; Stock market","score_opus":0.006059713133747382,"score_gpt":0.17943316184043479,"score_spread":0.17337344870668742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121577822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99295604,0.00036518232,0.0008824671,0.00027114816,0.00004299124,0.00002066227,0.0003420647,0.00003220076,0.005087232],"genre_scores_gemma":[0.9985061,0.00012230963,0.00007886909,0.00006688925,0.000028995064,0.0000056747353,0.00017825468,0.0000046481514,0.0010081433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991769,0.00014708658,0.000059320428,0.00014330601,0.00019882509,0.00027451574],"domain_scores_gemma":[0.9811437,0.005789095,0.009641685,0.00088077266,0.0004232903,0.002121459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016388617,0.00025549973,0.0004548387,0.000768376,0.00033437228,0.0012161847,0.00039080012,0.00057312014,0.0068050954],"category_scores_gemma":[0.009934424,0.00013674032,0.00062860694,0.00055529043,0.0006271997,0.00070356304,0.00079816685,0.0012029078,0.00049770594],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001100147,0.00031602164,0.97885054,0.000029729263,0.00019606836,0.0002996799,0.00010309615,0.0021105525,0.0018063164,0.0015855561,0.001210276,0.012391962],"study_design_scores_gemma":[0.000011274081,0.0002642528,0.9967849,0.0000053696426,0.00006872061,0.000065998844,0.00009683362,0.0008760808,0.00074492407,0.00041501832,0.0006595873,0.0000070416554],"about_ca_topic_score_codex":0.0047813896,"about_ca_topic_score_gemma":0.006764024,"teacher_disagreement_score":0.0068050954,"about_ca_system_score_codex":0.0006642738,"about_ca_system_score_gemma":0.00041354605,"threshold_uncertainty_score":0.022765279},"labels":[],"label_agreement":null},{"id":"W3121607587","doi":"10.1093/rfs/hhz136","title":"Institutional Trading around Corporate News: Evidence from Textual Analysis","year":2019,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Waterloo","funders":"","keywords":"News analytics; Business; Tone (literature); Institutional investor; Interpretation (philosophy); Accounting; Finance; Corporate governance; Linguistics","score_opus":0.12758559278137513,"score_gpt":0.28489131337953705,"score_spread":0.15730572059816192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121607587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9740935,0.0066416026,0.0017417162,0.0013338577,0.00009012293,0.000051509607,0.004952816,0.00006181495,0.011033156],"genre_scores_gemma":[0.9899322,0.0036019555,0.0012408155,0.00017280171,0.0005107334,0.000026343798,0.0037559879,0.000028074457,0.0007310252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997115,0.0012954666,0.00034830018,0.0003504093,0.00076489476,0.0001259714],"domain_scores_gemma":[0.79870737,0.13063183,0.053899594,0.005941129,0.009211353,0.0016087153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041967523,0.00027696526,0.00036405658,0.009955025,0.00049120677,0.003176058,0.00055069244,0.0008474233,0.003167942],"category_scores_gemma":[0.05724035,0.00024751236,0.00024150274,0.010584981,0.0007870387,0.002736989,0.0009774887,0.0006630569,0.00096796855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012149708,0.0005169198,0.8374355,0.0019093396,0.00074093597,0.0013603013,0.004383278,0.0014130287,0.0041081537,0.003127531,0.01019445,0.13359559],"study_design_scores_gemma":[0.00008363779,0.00020644521,0.96252936,0.0006744119,0.00040941229,0.00092295924,0.0036752087,0.008869628,0.0023006634,0.003734846,0.016515223,0.00007814031],"about_ca_topic_score_codex":0.0025129905,"about_ca_topic_score_gemma":0.0033654643,"teacher_disagreement_score":0.009955025,"about_ca_system_score_codex":0.00041151568,"about_ca_system_score_gemma":0.00032494072,"threshold_uncertainty_score":0.022194803},"labels":[],"label_agreement":null},{"id":"W3121647972","doi":"10.2139/ssrn.3064263","title":"Variance Premium, Downside Risk, and Expected Stock Returns","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Downside risk; Variance risk premium; Risk premium; Economics; Financial economics; Stock (firearms); Econometrics; Variance (accounting); Volatility risk premium; Volatility (finance); Portfolio; Stochastic volatility; Geography","score_opus":0.017824368305505604,"score_gpt":0.21891240455790192,"score_spread":0.20108803625239632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121647972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892741,0.001183004,0.006187401,0.0006748089,0.000030459736,0.000006804586,0.00008246528,0.000032901833,0.0025281166],"genre_scores_gemma":[0.99901545,0.00019948499,0.00017620361,0.000017258364,0.00004695589,0.0000014422415,0.000041922412,0.0000040504206,0.00049725093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962103,0.00010422841,0.000026768657,0.00007202402,0.00009168576,0.000084250074],"domain_scores_gemma":[0.98377866,0.011193271,0.0030099314,0.0005695506,0.0004902499,0.00095841376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002150631,0.00039809637,0.00043612396,0.00086726795,0.00017753831,0.0019202251,0.00038361404,0.0012957273,0.0030522863],"category_scores_gemma":[0.025775911,0.00029387954,0.00047434578,0.00047945417,0.00087893975,0.0020283677,0.0006577903,0.0014818339,0.00026534233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016439306,0.00060843886,0.8201129,0.00012488256,0.0005824545,0.0013274441,0.0005466576,0.04039885,0.006117177,0.08638017,0.0020453138,0.0401117],"study_design_scores_gemma":[0.000108425134,0.00043906888,0.6616738,0.00005574051,0.00032928563,0.001078911,0.00038234374,0.15099074,0.0010283521,0.1830497,0.0007712939,0.00009242793],"about_ca_topic_score_codex":0.001493305,"about_ca_topic_score_gemma":0.0014361911,"teacher_disagreement_score":0.0030522863,"about_ca_system_score_codex":0.00047485947,"about_ca_system_score_gemma":0.00035339044,"threshold_uncertainty_score":0.011373699},"labels":[],"label_agreement":null},{"id":"W3121661702","doi":"10.1093/rof/rfq029","title":"Option-Implied Measures of Equity Risk","year":2011,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":182,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Skewness; Implied volatility; Equity (law); Volatility (finance); Economics; Econometrics; Volatility smile; BETA (programming language); Valuation of options; Financial economics; Actuarial science; Computer science","score_opus":0.18969810403851212,"score_gpt":0.2590960223598189,"score_spread":0.06939791832130676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121661702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6566906,0.0061557665,0.30281177,0.0018335453,0.00020874079,0.00007215126,0.002570129,0.00019972166,0.029457642],"genre_scores_gemma":[0.98940384,0.0008108658,0.007872091,0.00004750707,0.00010715219,0.000035620604,0.0005985807,0.000011366607,0.0011130702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983918,0.0007153972,0.00014493191,0.00015431306,0.00052768213,0.00006579798],"domain_scores_gemma":[0.9818766,0.011134291,0.0034571183,0.0013580445,0.0017484912,0.00042545263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039818105,0.00049953506,0.0003319533,0.0019640296,0.00011599166,0.0015885185,0.000626564,0.00054944644,0.0036169942],"category_scores_gemma":[0.030142533,0.00013797238,0.0002914623,0.0015514813,0.000722418,0.0028538706,0.0007859033,0.0009503283,0.00031823822],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021058739,0.00014503207,0.0777576,0.00042952268,0.00031937714,0.00027828664,0.00058260997,0.0821652,0.0046408386,0.74352026,0.0033626906,0.08658808],"study_design_scores_gemma":[0.000022275644,0.000236039,0.08215935,0.00034014555,0.000055649696,0.00052003097,0.00033712984,0.17429355,0.0019214017,0.7340551,0.0059587257,0.00010063297],"about_ca_topic_score_codex":0.00026451083,"about_ca_topic_score_gemma":0.00020126595,"teacher_disagreement_score":0.0039818105,"about_ca_system_score_codex":0.0005180274,"about_ca_system_score_gemma":0.00022469171,"threshold_uncertainty_score":0.021058083},"labels":[],"label_agreement":null},{"id":"W3121663574","doi":"10.1287/mnsc.2016.2498","title":"Economic Implications of Nonlinear Pricing Kernels","year":2016,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Stochastic discount factor; Econometrics; Kurtosis; Nonparametric statistics; Economics; Dispersion (optics); Valuation of options; Nonlinear system; Mathematics; Skewness; Capital asset pricing model; Mathematical economics; Applied mathematics; Statistics","score_opus":0.027201719320241305,"score_gpt":0.234886714079568,"score_spread":0.20768499475932667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121663574","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34790105,0.002608911,0.59427357,0.011874913,0.00022691496,0.000037782822,0.0002674186,0.00014134555,0.042668078],"genre_scores_gemma":[0.98528904,0.0006759103,0.010515658,0.00016398593,0.000109702756,0.000019831203,0.00004972743,0.000035972836,0.0031402293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99923897,0.00038086853,0.000028683435,0.00010671804,0.00015918649,0.00008562484],"domain_scores_gemma":[0.9885876,0.007954713,0.0013880193,0.0009767915,0.00073846476,0.0003543625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029376978,0.0005090597,0.00053588726,0.000713862,0.00059218396,0.0021131097,0.0008734796,0.0011423157,0.0028581903],"category_scores_gemma":[0.027035838,0.0003097408,0.0007095598,0.0005224023,0.0028237847,0.004229113,0.0020592746,0.0026203939,0.00017453403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003122607,0.000027777016,0.0014156892,0.00002961352,0.000015581716,0.00010283561,0.00007857236,0.101300314,0.0004497822,0.8897433,0.0007782067,0.0060269847],"study_design_scores_gemma":[0.000008889222,0.000012842788,0.0008582022,0.000020324787,0.0000058588553,0.000048412046,0.000039807703,0.29039046,0.00015096202,0.70759815,0.00085159997,0.000014527271],"about_ca_topic_score_codex":0.0023557374,"about_ca_topic_score_gemma":0.0013079796,"teacher_disagreement_score":0.0029376978,"about_ca_system_score_codex":0.0018129504,"about_ca_system_score_gemma":0.00072844845,"threshold_uncertainty_score":0.015536249},"labels":[],"label_agreement":null},{"id":"W3121677717","doi":"10.2139/ssrn.1455904","title":"Asset Pricing in a Monetary Economy with Heterogeneous Beliefs","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; McGill University","funders":"","keywords":"Capital asset pricing model; Economics; Monetary economics; Asset (computer security); Consumption-based capital asset pricing model; Financial economics; Business; Computer science","score_opus":0.009514125644282091,"score_gpt":0.18866261501143677,"score_spread":0.1791484893671547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121677717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87841874,0.0010705094,0.10998154,0.003905075,0.0000804695,0.0000434148,0.00019357831,0.000118649914,0.0061880345],"genre_scores_gemma":[0.9939586,0.00040595117,0.0029499135,0.0000872256,0.00013992938,0.000014778044,0.000057310914,0.000013019469,0.0023732162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984446,0.0008074869,0.0000946898,0.00023507558,0.00018889844,0.00022920888],"domain_scores_gemma":[0.9719435,0.022724755,0.002684347,0.00085005944,0.0007032748,0.0010940569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064535392,0.00089202385,0.0027039421,0.0012038987,0.0007732843,0.0057127695,0.0022068531,0.004068586,0.003192163],"category_scores_gemma":[0.031369995,0.0010610056,0.0011189027,0.0012466676,0.00322918,0.0074989954,0.0023413475,0.0028178575,0.00038394585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011990876,0.00031690288,0.011400123,0.00019011977,0.000316013,0.0024824496,0.0005880205,0.4595738,0.0016484059,0.50699824,0.0016724193,0.013614409],"study_design_scores_gemma":[0.00020095374,0.000091136775,0.0021759698,0.000015701817,0.00007429335,0.0001679017,0.00012307709,0.82193077,0.00017578654,0.1748701,0.00012719775,0.00004722147],"about_ca_topic_score_codex":0.0031263817,"about_ca_topic_score_gemma":0.0013131327,"teacher_disagreement_score":0.0064535392,"about_ca_system_score_codex":0.0014068861,"about_ca_system_score_gemma":0.0005914518,"threshold_uncertainty_score":0.034130037},"labels":[],"label_agreement":null},{"id":"W3121682293","doi":"","title":"Rate of Return Parity in Experimental Asset Markets","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of New Brunswick","funders":"McMaster University","keywords":"Dividend; Holding period return; Financial economics; Economics; Econometrics; Rate of return; Arbitrage; Capital asset pricing model; Monetary economics; Business; Investment performance; Finance; Microeconomics; Return on investment","score_opus":0.05074623621822608,"score_gpt":0.29945827979056405,"score_spread":0.24871204357233798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121682293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895536,0.00009352888,0.009433599,0.00004953189,0.000012758906,0.000038811013,0.00005049033,0.000023678493,0.00074414455],"genre_scores_gemma":[0.9955663,0.00006276873,0.0040324684,0.000018945488,0.000012637941,0.00007220049,0.00007409865,0.000008741248,0.0001518112],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963404,0.0020302876,0.0002459847,0.00050906773,0.00072306197,0.00015121905],"domain_scores_gemma":[0.9452084,0.040290236,0.008553353,0.00455014,0.00093265664,0.00046529056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009466302,0.000421167,0.0005885005,0.0006125243,0.00027222233,0.0013034629,0.00069132145,0.0008470826,0.0012996998],"category_scores_gemma":[0.058023136,0.00037403073,0.00040077665,0.0004580906,0.0017758893,0.0023982637,0.0008778186,0.0009767779,0.00013851417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.028481273,0.01292092,0.17896591,0.0009162154,0.001105204,0.0009936478,0.0028241072,0.13062258,0.31218657,0.19163962,0.0011034326,0.13824053],"study_design_scores_gemma":[0.002451282,0.021857902,0.09424301,0.0001066989,0.00033431497,0.0011669697,0.00041886247,0.5118821,0.1829372,0.18166712,0.0026082117,0.00032625275],"about_ca_topic_score_codex":0.00037047453,"about_ca_topic_score_gemma":0.00011735396,"teacher_disagreement_score":0.009466302,"about_ca_system_score_codex":0.00047231728,"about_ca_system_score_gemma":0.00032521936,"threshold_uncertainty_score":0.050063193},"labels":[],"label_agreement":null},{"id":"W3121683563","doi":"10.1111/j.1540-6261.2012.01798.x","title":"What Do Consumers’ Fund Flows Maximize? Evidence from Their Brokers’ Incentives","year":2012,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":283,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Social Sciences and Humanities Research Council; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Incentive; Business; Finance; Economics; Microeconomics","score_opus":0.08008435310021449,"score_gpt":0.24667940302754002,"score_spread":0.16659504992732554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121683563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844935,0.00037150385,0.0010880851,0.0008185386,0.000005898105,0.000019825002,0.000104110724,0.000010570087,0.013088097],"genre_scores_gemma":[0.9990971,0.000079076075,0.00022469864,0.000048048412,0.000008211527,0.00000637266,0.00003065468,0.0000027754465,0.00050304603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893934,0.00054116227,0.000058866688,0.00017068115,0.0001235272,0.00016650216],"domain_scores_gemma":[0.9711051,0.017790632,0.0077493484,0.0013181319,0.00068699406,0.0013499125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045028427,0.00018808755,0.0005545911,0.00066416874,0.0005943791,0.0026621139,0.00032251305,0.0014074375,0.0073237387],"category_scores_gemma":[0.028642386,0.00033755065,0.00028544202,0.00066080195,0.00087791524,0.0018405023,0.0010021472,0.0007874041,0.00045404033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035355522,0.0009318204,0.8626833,0.00023579059,0.00042729988,0.00036739898,0.0038695587,0.008377464,0.0030267106,0.050715458,0.0025983846,0.06323135],"study_design_scores_gemma":[0.0010174317,0.00057689386,0.8400344,0.00013017518,0.0006393756,0.00035862334,0.005225391,0.031859227,0.0025762857,0.10490303,0.01256043,0.00011868443],"about_ca_topic_score_codex":0.0052528405,"about_ca_topic_score_gemma":0.004547055,"teacher_disagreement_score":0.0073237387,"about_ca_system_score_codex":0.0011625517,"about_ca_system_score_gemma":0.000503732,"threshold_uncertainty_score":0.02450037},"labels":[],"label_agreement":null},{"id":"W3121696993","doi":"","title":"The Role of Trades in Price Convergence: A Study of Dual-Listed Canadian Stocks","year":2006,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Market liquidity; Law of one price; Economics; Volume-weighted average price; Mid price; Financial economics; Order (exchange); Market maker; Econometrics; Stock exchange; Market depth; Order book; Price formation; Monetary economics; Convergence (economics); Price level; Market price; Stock market; Microeconomics; Macroeconomics; Finance","score_opus":0.022739913562694655,"score_gpt":0.24958716078423585,"score_spread":0.2268472472215412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121696993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99900764,0.00007886394,0.000038857692,0.000061716106,9.94021e-7,0.000004996905,0.000081747225,0.000001616181,0.0007236234],"genre_scores_gemma":[0.9993099,0.000075143646,0.00008649747,0.000012900254,0.0000020503505,0.000001576836,0.00013764143,0.0000014176975,0.00037281075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994185,0.00005615448,0.000028141483,0.0000729826,0.00019965188,0.00022462479],"domain_scores_gemma":[0.9955135,0.0012014272,0.0012590667,0.00023482511,0.0010301156,0.00076117954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008475064,0.0003224986,0.00047434418,0.0021782531,0.00264821,0.0016151745,0.00093040644,0.00066554407,0.002182919],"category_scores_gemma":[0.0083918255,0.00021791852,0.00044013697,0.0035035303,0.0010610416,0.00078119076,0.0010052966,0.0005784651,0.00018880519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003105698,0.00018444328,0.9800607,0.000032523494,0.00007769459,0.00076644745,0.0035894897,0.0014708712,0.0009478707,0.0016046732,0.0003992266,0.010555582],"study_design_scores_gemma":[0.00001605433,0.000046790974,0.99004,0.000010210925,0.000032438187,0.0001655764,0.0035360884,0.0049276613,0.00018069221,0.0003333024,0.0006880032,0.000023298131],"about_ca_topic_score_codex":0.9473655,"about_ca_topic_score_gemma":0.9589084,"teacher_disagreement_score":0.052634478,"about_ca_system_score_codex":0.0116237365,"about_ca_system_score_gemma":0.0076506077,"threshold_uncertainty_score":0.10588884},"labels":[],"label_agreement":null},{"id":"W3121750945","doi":"10.2308/accr-50774","title":"Price Shocks, News Disclosures, and Asymmetric Drifts","year":2014,"lang":"en","type":"article","venue":"The Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Shock (circulatory); Stock price; Abnormal return; Proxy (statistics); Stock (firearms); Monetary economics; Event study; Financial economics; Econometrics; Stock exchange; Finance","score_opus":0.02166039847262731,"score_gpt":0.22101078681170702,"score_spread":0.1993503883390797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121750945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884673,0.0028479707,0.0013071997,0.0005442579,0.000040990657,0.000012979129,0.00014836498,0.000019360896,0.0066114157],"genre_scores_gemma":[0.9985336,0.00090436736,0.00014130505,0.000042289557,0.000054472388,0.0000019335525,0.00004325747,0.0000011283754,0.0002775768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999371,0.0001716493,0.00006841477,0.000049369508,0.0002642271,0.000075402364],"domain_scores_gemma":[0.9871197,0.003757527,0.0077111325,0.00036273323,0.00083792885,0.00021093784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001587142,0.0001260432,0.00026503642,0.0010253623,0.00014172183,0.001089469,0.0001730509,0.00044072786,0.0013468208],"category_scores_gemma":[0.012864631,0.00008537939,0.00013457263,0.001176724,0.0002507011,0.0006889993,0.00033932136,0.00043203146,0.0001981192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085210666,0.00037602714,0.78243434,0.0004124969,0.00036722262,0.0014090136,0.0007482994,0.011635199,0.014157843,0.019786453,0.00362188,0.16419902],"study_design_scores_gemma":[0.000025923988,0.0002440303,0.9704348,0.00011473269,0.00010220666,0.0005897303,0.0006246472,0.01129604,0.00288586,0.010450936,0.0031998074,0.000031281576],"about_ca_topic_score_codex":0.0006989124,"about_ca_topic_score_gemma":0.0005913377,"teacher_disagreement_score":0.001587142,"about_ca_system_score_codex":0.00028972852,"about_ca_system_score_gemma":0.00018575262,"threshold_uncertainty_score":0.008393705},"labels":[],"label_agreement":null},{"id":"W3121767947","doi":"","title":"Market Efficiency in Specialist Markets Before and After Automation","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exploit; Automation; Stock exchange; Stock (firearms); Nonparametric statistics; Efficient-market hypothesis; Market efficiency; Econometrics; Business; Stock market; Economics; Financial economics; Industrial organization; Finance; Computer science; Engineering; Geography","score_opus":0.007407079548870789,"score_gpt":0.1980543179333874,"score_spread":0.1906472383845166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121767947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985127,0.00002913337,0.0005957457,0.000019503192,0.0000010072051,0.0000040533773,0.000029520334,0.000010626571,0.0007977514],"genre_scores_gemma":[0.9996859,0.000005218697,0.00013080644,0.000002655306,0.0000027120889,0.0000013155905,0.000031595046,0.0000017751962,0.00013796505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905354,0.00020289383,0.00007824359,0.00014325403,0.00029661276,0.00022536505],"domain_scores_gemma":[0.97623754,0.00988959,0.0086057475,0.0022632454,0.0018830257,0.0011209446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024240664,0.00014431875,0.00040548816,0.0011831502,0.00023679098,0.0011960047,0.00026389016,0.00039289388,0.0019107751],"category_scores_gemma":[0.016844455,0.00009089154,0.00033189348,0.00079535577,0.0010126358,0.0016341825,0.000618862,0.00034623066,0.00019949408],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035288741,0.00076389994,0.78895545,0.00009926624,0.0003560994,0.0008640994,0.0027880466,0.048893362,0.040467985,0.01834943,0.0009473835,0.09398613],"study_design_scores_gemma":[0.0000432086,0.0006080256,0.9625182,0.000004768471,0.00003834369,0.0001796479,0.00032891188,0.025176905,0.0060473513,0.004558036,0.0004563035,0.000040237297],"about_ca_topic_score_codex":0.0021262881,"about_ca_topic_score_gemma":0.0017809168,"teacher_disagreement_score":0.0024240664,"about_ca_system_score_codex":0.0006086598,"about_ca_system_score_gemma":0.00036439442,"threshold_uncertainty_score":0.012819827},"labels":[],"label_agreement":null},{"id":"W3121768691","doi":"10.1017/s0022109018001175","title":"High-Frequency Trading Competition","year":2018,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Imperial Bank of Commerce (Canada)","funders":"","keywords":"High-frequency trading; Market liquidity; Stock exchange; Economics; Stock (firearms); Financial economics; Monetary economics; Finance; Engineering","score_opus":0.03956163826876412,"score_gpt":0.25325092037712227,"score_spread":0.21368928210835814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121768691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9592233,0.00032137075,0.015788551,0.0004997593,0.00002500098,0.000033261647,0.00010108387,0.0000445197,0.023963146],"genre_scores_gemma":[0.9988758,0.000029230032,0.00039013388,0.000039745144,0.000011478959,0.0000050378953,0.0000212594,0.000002147623,0.0006251713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991867,0.00014840474,0.000032254364,0.00018895304,0.00028109172,0.00016253204],"domain_scores_gemma":[0.995158,0.0021872437,0.0010511618,0.00048211735,0.00066334393,0.00045798326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001390832,0.0001896174,0.0004259664,0.0005155312,0.00059521303,0.00216868,0.0006625235,0.00088624604,0.0062364074],"category_scores_gemma":[0.009889673,0.00012923058,0.00029653922,0.000404051,0.001120379,0.0022199114,0.000738501,0.0006530819,0.00033088913],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006685957,0.0003906639,0.31912795,0.00027958656,0.0003954595,0.0015941586,0.0023862966,0.0765006,0.021196088,0.48901922,0.0071189194,0.08132251],"study_design_scores_gemma":[0.0002875998,0.00056258525,0.40686756,0.000067052264,0.00013465514,0.0016773891,0.0015570824,0.2815839,0.0027280464,0.2950662,0.009277918,0.0001901671],"about_ca_topic_score_codex":0.011085237,"about_ca_topic_score_gemma":0.0094826715,"teacher_disagreement_score":0.011085237,"about_ca_system_score_codex":0.001278092,"about_ca_system_score_gemma":0.00073211396,"threshold_uncertainty_score":0.02204144},"labels":[],"label_agreement":null},{"id":"W3121781925","doi":"10.1007/s10479-025-06862-8","title":"Asset classes and portfolio diversification: evidence from a stochastic spanning approach","year":2025,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Grantová Agentura České Republiky; Egg Farmers of Canada","keywords":"Portfolio; Diversification (marketing strategy); Sharpe ratio; Post-modern portfolio theory; Portfolio insurance; Financial economics; Capital asset pricing model; Real estate; Asset allocation; Bond; Economics; Econometrics; Parametric statistics; Asset (computer security); Stock (firearms); Portfolio optimization; Replicating portfolio; Business; Computer science; Finance; Mathematics; Geography","score_opus":0.3658973618812557,"score_gpt":0.407215683274081,"score_spread":0.041318321392825264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121781925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99111724,0.00019872055,0.0067611784,0.0001768963,0.0000034959623,0.000007824728,0.000049845858,0.000009243421,0.0016754844],"genre_scores_gemma":[0.9992083,0.00005624792,0.0005693004,0.000015922797,0.000008496273,0.0000023849063,0.000048164242,0.0000013388858,0.00008988829],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978309,0.0013182241,0.000106079024,0.00025311692,0.0003584754,0.00013309224],"domain_scores_gemma":[0.9592145,0.025989035,0.009064562,0.0032395243,0.0010872396,0.0014051643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059673362,0.00022813768,0.00043945966,0.0009787062,0.00041009937,0.0011872511,0.00055508537,0.00066355563,0.0021587382],"category_scores_gemma":[0.02794682,0.0001713108,0.00045091068,0.0010113491,0.0011100152,0.0017999945,0.0014741207,0.00071138045,0.00015920766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011083209,0.0005713524,0.7486606,0.0000772561,0.00082861376,0.00046910354,0.00077156373,0.080646105,0.0020316623,0.07850337,0.0013549976,0.08497708],"study_design_scores_gemma":[0.00011735777,0.0006932458,0.40127474,0.00005474721,0.0003174236,0.00054561737,0.00066153693,0.41466704,0.0010561969,0.17879999,0.0017602191,0.00005198788],"about_ca_topic_score_codex":0.0011160488,"about_ca_topic_score_gemma":0.00077608036,"teacher_disagreement_score":0.0059673362,"about_ca_system_score_codex":0.0002937781,"about_ca_system_score_gemma":0.00022375745,"threshold_uncertainty_score":0.031558633},"labels":[],"label_agreement":null},{"id":"W3121785000","doi":"10.1111/ecno.12093","title":"The Performance of Market‐Timing Strategies of Italian Mutual Fund Investors","year":2017,"lang":"en","type":"article","venue":"Economic Notes","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market timing; Equity (law); Mutual fund; Business; Portfolio; Quarter (Canadian coin); Investment strategy; Monetary economics; Institutional investor; Closed-end fund; Passive management; Economics; Financial economics; Finance; Corporate governance; Market liquidity","score_opus":0.06397438299491763,"score_gpt":0.24967129670057978,"score_spread":0.18569691370566216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121785000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99424523,0.0002760649,0.0009086745,0.000081749815,0.0000051920474,0.000011593872,0.00020531392,0.000027222755,0.0042390367],"genre_scores_gemma":[0.9989292,0.00008700201,0.00021330593,0.000013328671,0.000010865936,0.000004248998,0.00023425063,0.0000037642315,0.000504091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991334,0.0002467938,0.00008178254,0.00013226016,0.000247083,0.00015871963],"domain_scores_gemma":[0.99106336,0.0028049317,0.004619217,0.0008545295,0.00033261883,0.00032536767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029223075,0.0005225923,0.00037455183,0.0013032387,0.00021493793,0.0019605453,0.0003970274,0.0006684497,0.002081349],"category_scores_gemma":[0.01598104,0.00013020416,0.0003977468,0.00096644665,0.00039518264,0.0010773219,0.0006185584,0.00035493018,0.0005622279],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006376573,0.00014855465,0.93191355,0.00008049509,0.0003070612,0.0002299916,0.0005094311,0.008631478,0.0022961905,0.0041585597,0.0012851246,0.049801808],"study_design_scores_gemma":[0.000033313103,0.00027564442,0.9702256,0.000017946815,0.00011033387,0.00032361486,0.00017451619,0.02277912,0.0021855976,0.0020228592,0.0018095704,0.000041894553],"about_ca_topic_score_codex":0.0042132144,"about_ca_topic_score_gemma":0.0039620013,"teacher_disagreement_score":0.0042132144,"about_ca_system_score_codex":0.0007827459,"about_ca_system_score_gemma":0.00029312595,"threshold_uncertainty_score":0.015454829},"labels":[],"label_agreement":null},{"id":"W3121785001","doi":"","title":"Rao’s Quadratic Entropy and Maximum Diversification Indexation","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Diversification (marketing strategy); Indexation; Portfolio; Econometrics; Quadratic equation; Entropy (arrow of time); Covariance matrix; Economics; Mathematics; Mathematical optimization; Financial economics; Statistics; Business; Monetary policy; Physics; Monetary economics","score_opus":0.02642879214084572,"score_gpt":0.2087029541682203,"score_spread":0.18227416202737456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121785001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024607472,0.00077643036,0.9659521,0.0004971602,0.000051751427,0.00003304825,0.000061410414,0.000098538134,0.007922154],"genre_scores_gemma":[0.7587687,0.0009251471,0.23271593,0.00026860536,0.00032356728,0.00016726444,0.00021817208,0.00015969636,0.0064529134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99568045,0.002375623,0.00020349956,0.00047482408,0.0009817167,0.00028389567],"domain_scores_gemma":[0.9892597,0.0072065047,0.00096862,0.0012577731,0.0010083712,0.00029884992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007738972,0.0009568106,0.0011638309,0.0018608015,0.0006926186,0.002023655,0.0015911252,0.001179602,0.002415736],"category_scores_gemma":[0.02393007,0.00046318426,0.0008251585,0.0015248844,0.0027854394,0.0042982306,0.0024391972,0.0017072968,0.00049316057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008583651,0.000027397919,0.0015617388,0.000091953196,0.00007495159,0.00012016644,0.00014741534,0.10393833,0.0028079078,0.8347298,0.0014322611,0.054982305],"study_design_scores_gemma":[0.000016151984,0.0001247771,0.0012380518,0.000031367417,0.000017328002,0.00013849763,0.000025048816,0.55715454,0.0024208666,0.43624008,0.0025436145,0.00004963735],"about_ca_topic_score_codex":0.0006597262,"about_ca_topic_score_gemma":0.00044199848,"teacher_disagreement_score":0.007738972,"about_ca_system_score_codex":0.0012933267,"about_ca_system_score_gemma":0.0008422278,"threshold_uncertainty_score":0.040928125},"labels":[],"label_agreement":null},{"id":"W3121785344","doi":"10.1093/rfs/hhaa027","title":"Portfolio Pumping and Managerial Structure","year":2020,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Western University","funders":"","keywords":"Portfolio; Business; Active management; Finance; Mutual fund; Equity (law); Enforcement; Monetary economics; Project portfolio management; Economics","score_opus":0.053269555625938596,"score_gpt":0.2558200054891834,"score_spread":0.20255044986324477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121785344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98988837,0.0009718722,0.0017925517,0.0005179476,0.000010503338,0.00003134997,0.00046288728,0.000028802882,0.0062957318],"genre_scores_gemma":[0.9989728,0.00013215934,0.00026460813,0.000027245642,0.000027130543,0.000007678019,0.00016328703,0.0000027197002,0.0004023689],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998126,0.0005173719,0.00023662017,0.0002328098,0.0006568384,0.00023035085],"domain_scores_gemma":[0.9614078,0.0079928115,0.026773037,0.0012546169,0.0013831753,0.0011884555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032744063,0.00017540874,0.00031942246,0.0020195923,0.00049779227,0.0017417147,0.00039591698,0.0005292247,0.0031943833],"category_scores_gemma":[0.022662444,0.00018552464,0.00018733207,0.0020782235,0.0006494014,0.0013284645,0.0011059479,0.00051410176,0.0004696281],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016820809,0.0001043469,0.9527172,0.00005534639,0.00013996716,0.000118175136,0.0003290303,0.0018422154,0.001239156,0.0047598593,0.0012279444,0.0372986],"study_design_scores_gemma":[0.000015319356,0.00009096112,0.98878723,0.000039285493,0.00003559501,0.00010312063,0.00022569932,0.0034222933,0.0005057081,0.005000803,0.001759483,0.000014476577],"about_ca_topic_score_codex":0.001431049,"about_ca_topic_score_gemma":0.001879317,"teacher_disagreement_score":0.0032744063,"about_ca_system_score_codex":0.00083792873,"about_ca_system_score_gemma":0.0004583533,"threshold_uncertainty_score":0.017316937},"labels":[],"label_agreement":null},{"id":"W3121802835","doi":"10.1093/rfs/hhq075","title":"The Aggregate Dynamics of Capital Structure and Macroeconomic Risk","year":2010,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":288,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Capital structure; Economics; Leverage (statistics); Capital asset pricing model; Asset (computer security); Valuation (finance); Systematic risk; Monetary economics; Default; Econometrics; Microeconomics; Macroeconomics; Finance; Debt","score_opus":0.012061368104766903,"score_gpt":0.23081211956364933,"score_spread":0.21875075145888243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121802835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9742288,0.0023202552,0.01728712,0.0014909791,0.000017984092,0.0000183885,0.0003841767,0.000028855791,0.0042233993],"genre_scores_gemma":[0.99743634,0.0009759328,0.0007604209,0.000037002585,0.000017374365,0.000009072077,0.00011910331,0.0000036714748,0.0006411727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968064,0.00012543728,0.00001379728,0.00007078129,0.000038380826,0.00007093212],"domain_scores_gemma":[0.9957749,0.002089454,0.0014888488,0.0002283731,0.00017751874,0.00024103736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012956329,0.00034422844,0.00055169355,0.00076908554,0.00032290193,0.0025663124,0.00057664746,0.001109112,0.0017968307],"category_scores_gemma":[0.007889909,0.00031667866,0.00040829217,0.0009554283,0.00084311503,0.0021006954,0.000818647,0.0008267605,0.00029698372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032353195,0.00025990597,0.19729945,0.00012789432,0.0005744566,0.0007892469,0.0005262373,0.514349,0.0030142,0.24493921,0.0025751067,0.035221856],"study_design_scores_gemma":[0.00006666343,0.00022293387,0.11326317,0.00005728531,0.0001783215,0.00026359598,0.00039935624,0.5585306,0.001158918,0.32259983,0.0031863558,0.00007302125],"about_ca_topic_score_codex":0.0038457264,"about_ca_topic_score_gemma":0.00433259,"teacher_disagreement_score":0.0038457264,"about_ca_system_score_codex":0.0011182097,"about_ca_system_score_gemma":0.0003758755,"threshold_uncertainty_score":0.008113265},"labels":[],"label_agreement":null},{"id":"W3121816009","doi":"10.1016/j.jfineco.2008.06.008","title":"Global private information in international equity markets☆","year":2009,"lang":"en","type":"preprint","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Equity (law); Business; Private information retrieval; Emerging markets; Private equity; Financial economics; Monetary economics; Economics; Finance","score_opus":0.025798423769967944,"score_gpt":0.2469439947230014,"score_spread":0.22114557095303347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121816009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8616082,0.0045995526,0.05766527,0.026505478,0.00028999484,0.000035506677,0.0009632842,0.000154319,0.048178416],"genre_scores_gemma":[0.9917915,0.0010213564,0.0008675711,0.000188524,0.00017651259,0.000006195256,0.00011521933,0.000020162686,0.005813079],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99958473,0.00012120665,0.000025263358,0.000092319235,0.000087996756,0.000088514964],"domain_scores_gemma":[0.9854307,0.010503097,0.0021939343,0.00055546866,0.00076619035,0.0005506542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021247256,0.00030801928,0.00087616866,0.0010260748,0.00060947164,0.0036960247,0.0005060517,0.0017355268,0.006990497],"category_scores_gemma":[0.016710673,0.0005609901,0.00041689447,0.0013859306,0.0019301956,0.008299593,0.0011283843,0.0021524655,0.0003656677],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028126512,0.00009910267,0.013984849,0.000121759746,0.00009458697,0.00045737068,0.00063541613,0.039721962,0.00084191037,0.90726817,0.010499781,0.025993772],"study_design_scores_gemma":[0.000037290018,0.00003654279,0.009446376,0.0000446441,0.0000611969,0.00011337819,0.0003123083,0.07831751,0.00044453112,0.90901476,0.0021273734,0.000044066874],"about_ca_topic_score_codex":0.0047356538,"about_ca_topic_score_gemma":0.0037586063,"teacher_disagreement_score":0.006990497,"about_ca_system_score_codex":0.0018026875,"about_ca_system_score_gemma":0.00070505746,"threshold_uncertainty_score":0.023385525},"labels":[],"label_agreement":null},{"id":"W3121822730","doi":"10.1017/s0022109014000362","title":"Treasury Bond Illiquidity and Global Equity Returns","year":2014,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bond; Treasury; Equity (law); Monetary economics; Economics; Capital asset pricing model; Proxy (statistics); Financial economics; Emerging markets; Valuation (finance); Business; Finance","score_opus":0.05097141489364064,"score_gpt":0.28302282964586334,"score_spread":0.23205141475222268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121822730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973164,0.0002903517,0.0003925144,0.00005670675,0.0000036501363,0.000005279164,0.0009778398,0.000009243678,0.00094798586],"genre_scores_gemma":[0.998637,0.0001347488,0.00008383325,0.00000798203,0.00000883842,0.0000020895973,0.0009807693,0.0000027211415,0.0001419678],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997416,0.000058929978,0.000037667774,0.000046099787,0.000066088825,0.00004951406],"domain_scores_gemma":[0.9863717,0.003108454,0.008672155,0.0004923645,0.00076897116,0.00058637816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092839147,0.00035026524,0.0003774923,0.0017706756,0.00015375389,0.0013207003,0.00019543753,0.00026044578,0.0020073778],"category_scores_gemma":[0.0054075667,0.00009930148,0.00042602426,0.0024349068,0.0003385341,0.001133441,0.00053279474,0.00073633104,0.0003929673],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010497935,0.000049185754,0.99227303,0.000018200137,0.0001213129,0.00012276959,0.000056922017,0.0024206787,0.00039427055,0.00061089295,0.00025037638,0.0035774054],"study_design_scores_gemma":[0.000007277223,0.00009799455,0.9890444,0.000019557217,0.000058525377,0.00016818657,0.00013527609,0.007999693,0.0009879154,0.00082295947,0.00064412714,0.000014188138],"about_ca_topic_score_codex":0.0049944017,"about_ca_topic_score_gemma":0.0048787524,"teacher_disagreement_score":0.0049944017,"about_ca_system_score_codex":0.0003260846,"about_ca_system_score_gemma":0.00025755737,"threshold_uncertainty_score":0.00993067},"labels":[],"label_agreement":null},{"id":"W3121823404","doi":"10.1080/13504851003636164","title":"Filter rules: follow the trend or take the contrarian approach?","year":2010,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Contrarian; Robustness (evolution); Trading strategy; Transaction cost; Filter (signal processing); Econometrics; Database transaction; Economics; Computer science; Financial economics; Microeconomics","score_opus":0.02662366879520517,"score_gpt":0.17924258343364843,"score_spread":0.15261891463844326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121823404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27430224,0.0022428245,0.69594795,0.0025406242,0.0005209486,0.00019251245,0.00025457103,0.0009299401,0.02306843],"genre_scores_gemma":[0.8964929,0.0010180331,0.09400873,0.0009894363,0.00031185627,0.00008841052,0.00024321716,0.00018749558,0.0066599804],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975903,0.00059507816,0.00020408074,0.0005427092,0.0008715258,0.00019623688],"domain_scores_gemma":[0.98580015,0.008699198,0.0017685741,0.0019341592,0.0016000731,0.00019778343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064382884,0.0004668169,0.0012604677,0.0006950463,0.00039227895,0.0026345155,0.0012238357,0.002018569,0.0034485843],"category_scores_gemma":[0.0330736,0.00025539743,0.0006629021,0.0008358446,0.0008689471,0.0046892497,0.00042995685,0.0012980334,0.0012246106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014775939,0.00047700954,0.045983464,0.00035636156,0.0013541481,0.0004922623,0.00039862105,0.099517226,0.0058777938,0.18468513,0.008535143,0.6508453],"study_design_scores_gemma":[0.00031333973,0.0017897483,0.023144936,0.00014100395,0.0005995778,0.0014295017,0.00039196466,0.73407966,0.008388906,0.2156248,0.013908187,0.00018841964],"about_ca_topic_score_codex":0.001929943,"about_ca_topic_score_gemma":0.0020921773,"teacher_disagreement_score":0.0064382884,"about_ca_system_score_codex":0.0005177208,"about_ca_system_score_gemma":0.00077771494,"threshold_uncertainty_score":0.034049332},"labels":[],"label_agreement":null},{"id":"W3121828431","doi":"10.1111/1540-6229.00794","title":"Measuring and Explaining Changes in REIT Liquidity: Moving Beyond the Bid–Ask Spread","year":2000,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Real estate investment trust; Market liquidity; Equity (law); Economics; Monetary economics; Boom; Financial economics; Business; Real estate; Finance","score_opus":0.043511238293058606,"score_gpt":0.20504532750685392,"score_spread":0.1615340892137953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121828431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99195004,0.0010075382,0.003123934,0.0003166943,0.000009640562,0.000024737119,0.00034606375,0.000042959146,0.0031783576],"genre_scores_gemma":[0.99834096,0.00028759276,0.00056987803,0.000023636561,0.000027750459,0.000008871635,0.0003043892,0.000008004206,0.00042887148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992555,0.00018729999,0.00010466824,0.00010766735,0.00018941621,0.00015545657],"domain_scores_gemma":[0.9812889,0.005846448,0.0109503195,0.00074764976,0.0007736268,0.00039321271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00212672,0.0004722776,0.0005077454,0.002754752,0.00035130026,0.0025992168,0.00065269705,0.0008946668,0.0022619748],"category_scores_gemma":[0.015785968,0.00028634584,0.00036590834,0.0027340217,0.0005527578,0.0039055303,0.0011685019,0.0011361734,0.0005999108],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030551292,0.00016715664,0.95323974,0.000102651684,0.00012790668,0.0004541363,0.0010130344,0.00802168,0.002065907,0.0033566467,0.0005447625,0.030600853],"study_design_scores_gemma":[0.000026715583,0.00016743291,0.96032184,0.000047387235,0.00006694593,0.00025403136,0.0010387173,0.027256422,0.0025728478,0.0060719787,0.0021293084,0.000046365985],"about_ca_topic_score_codex":0.0073410855,"about_ca_topic_score_gemma":0.0077039464,"teacher_disagreement_score":0.0073410855,"about_ca_system_score_codex":0.0006763883,"about_ca_system_score_gemma":0.0004049209,"threshold_uncertainty_score":0.014596701},"labels":[],"label_agreement":null},{"id":"W3121830555","doi":"10.2139/ssrn.288965","title":"The Pricing Discount for Limited Liquidity: Evidence from the SWX Swiss Exchange and the NASDAQ","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Market liquidity; Financial economics; Business; Economics; Monetary economics; Capital asset pricing model","score_opus":0.030330156037675658,"score_gpt":0.22546003051334268,"score_spread":0.19512987447566701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121830555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98621064,0.0014506457,0.00025757734,0.0021707702,0.00003803007,0.0000075891026,0.00048296325,0.000018099692,0.009363756],"genre_scores_gemma":[0.9982231,0.00041436555,0.000040889936,0.00010348168,0.000068348505,0.0000019999586,0.0002626503,0.0000094789975,0.00087575114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994143,0.00015305237,0.000045517874,0.00008395597,0.00023245053,0.0000707679],"domain_scores_gemma":[0.96801066,0.017985005,0.009937633,0.0012027059,0.0017756695,0.0010882758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002375948,0.00020320441,0.00038083963,0.0011878919,0.00061983155,0.0030355297,0.0008797026,0.0021321583,0.009061865],"category_scores_gemma":[0.027504234,0.00028206795,0.00032294134,0.0010894248,0.0012153208,0.0031730325,0.0008212673,0.002183112,0.00078092323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016487055,0.0010736161,0.78853023,0.00072478276,0.00070013496,0.0033361858,0.009095153,0.009021427,0.006820623,0.06385164,0.024042595,0.07631649],"study_design_scores_gemma":[0.0005074963,0.00038263726,0.9555885,0.00015837117,0.0002970692,0.0006542485,0.0035835982,0.0076238397,0.0013137654,0.020704428,0.00906161,0.00012433068],"about_ca_topic_score_codex":0.015754927,"about_ca_topic_score_gemma":0.017623583,"teacher_disagreement_score":0.015754927,"about_ca_system_score_codex":0.0011654544,"about_ca_system_score_gemma":0.00042702386,"threshold_uncertainty_score":0.031326473},"labels":[],"label_agreement":null},{"id":"W3121853666","doi":"10.1177/0148558x17733593","title":"Fundamental Analysis and Option Returns","year":2017,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Volatility (finance); Exploit; Implied volatility; Economics; Transaction cost; Volatility smile; Profitability index; Financial economics; Econometrics; Microeconomics; Computer science; Finance","score_opus":0.024674044127102814,"score_gpt":0.23830210711242517,"score_spread":0.21362806298532236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121853666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.635685,0.004177201,0.29776925,0.0040847897,0.00021671002,0.000046672943,0.0005322768,0.0003284912,0.057159618],"genre_scores_gemma":[0.992044,0.0006224131,0.0055337064,0.000060989132,0.0001393173,0.0000070246847,0.000119007105,0.000022647237,0.001450865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993,0.00017884016,0.000037545717,0.00010953422,0.00029048257,0.00008369568],"domain_scores_gemma":[0.9894106,0.007093553,0.0016736157,0.00071748695,0.0008322987,0.00027230085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021085588,0.00042523147,0.00045070273,0.0019439694,0.000416592,0.0025325166,0.00062456046,0.0008087561,0.0063022585],"category_scores_gemma":[0.025721379,0.00021895739,0.00048101126,0.0011981769,0.0015516549,0.0060263225,0.0010302837,0.0017375364,0.00045573365],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014969343,0.00006154242,0.0110513205,0.0000864244,0.00006387997,0.00023933193,0.00022315404,0.029305642,0.0040624435,0.88948107,0.0013009827,0.06397448],"study_design_scores_gemma":[0.000014401746,0.0000618518,0.011403857,0.000046921374,0.000017981714,0.00028769945,0.00010324203,0.13646567,0.0014761804,0.8469845,0.0030966706,0.0000410133],"about_ca_topic_score_codex":0.0010539,"about_ca_topic_score_gemma":0.00047282715,"teacher_disagreement_score":0.0063022585,"about_ca_system_score_codex":0.00075001875,"about_ca_system_score_gemma":0.0005700616,"threshold_uncertainty_score":0.021083176},"labels":[],"label_agreement":null},{"id":"W3121877256","doi":"10.2139/ssrn.3762090","title":"Ambiguity, Nominal Bond Yields, and Real Bond Yields","year":2020,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Economics; Bond; Yield curve; Inflation (cosmology); Yield (engineering); Ambiguity; Econometrics; Equity (law); Nominal interest rate; Bond valuation; Monetary economics; Real interest rate; Financial economics; Interest rate; Finance; Computer science","score_opus":0.029745013151900316,"score_gpt":0.23048866731572612,"score_spread":0.2007436541638258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121877256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92085844,0.0060691275,0.03992132,0.004252866,0.0001759455,0.000022145156,0.000685899,0.00008856347,0.027925616],"genre_scores_gemma":[0.9956344,0.0010699494,0.0007951727,0.000044651217,0.00009811157,0.0000044613007,0.00010719966,0.000016339569,0.002229679],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994461,0.00022319706,0.000040087652,0.00009602854,0.0001320735,0.00006247755],"domain_scores_gemma":[0.9780506,0.015662976,0.0043896744,0.0005412267,0.0005499299,0.0008054674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002906293,0.00039725305,0.0005569495,0.0009253302,0.00032834095,0.0042710016,0.0004445687,0.0013405757,0.006067518],"category_scores_gemma":[0.044694163,0.00035066533,0.00033652663,0.001139928,0.0012812568,0.0058149626,0.0010364352,0.001923374,0.0006154035],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015633417,0.00019285601,0.08655281,0.00026939483,0.00019525927,0.0012321986,0.0011064634,0.09892766,0.0023586177,0.7557323,0.0049993973,0.04686968],"study_design_scores_gemma":[0.000059562673,0.00010646545,0.04125442,0.000056862536,0.0000656957,0.00040987908,0.0005260527,0.11593944,0.00057628826,0.83914626,0.0017854121,0.00007365882],"about_ca_topic_score_codex":0.0007521933,"about_ca_topic_score_gemma":0.00042162495,"teacher_disagreement_score":0.006067518,"about_ca_system_score_codex":0.00071874994,"about_ca_system_score_gemma":0.0003331447,"threshold_uncertainty_score":0.020297885},"labels":[],"label_agreement":null},{"id":"W3121893626","doi":"10.1017/s0022109023000303","title":"Holding Horizon: A New Measure of Active Investment Management","year":2023,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Horizon; Time horizon; Market liquidity; Term (time); Investment (military); Fund of funds; Business; Mutual fund; Economics; Measure (data warehouse); Monetary economics; Finance; Actuarial science; Financial economics; Computer science; Mathematics","score_opus":0.06018016682116608,"score_gpt":0.2647724932441842,"score_spread":0.20459232642301814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121893626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9281294,0.002318551,0.044637628,0.0005940392,0.00012849107,0.00007656536,0.00179431,0.00025601184,0.022065047],"genre_scores_gemma":[0.99451655,0.00019264444,0.0038398248,0.00003076493,0.00012735011,0.000019209541,0.00042230298,0.000010998035,0.0008404427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990569,0.000164773,0.000103323844,0.000112672424,0.00047220144,0.00009012092],"domain_scores_gemma":[0.9901535,0.0025782872,0.0048028408,0.00047726755,0.00085370557,0.0011343003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001652159,0.00035125154,0.00026254854,0.0027167136,0.000292179,0.0014804094,0.0006214044,0.0004455377,0.002218811],"category_scores_gemma":[0.011287382,0.000099237106,0.00025090197,0.0017696233,0.00044698894,0.0021154457,0.0008234756,0.0005963265,0.00025258714],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007713647,0.0005589976,0.74020666,0.00022260105,0.00049159804,0.0007036929,0.0011476724,0.022117108,0.017444018,0.03987978,0.005550427,0.17090608],"study_design_scores_gemma":[0.00006372321,0.0010274935,0.8604493,0.00014251143,0.00020161009,0.0013290376,0.0006130308,0.06875553,0.0075614066,0.04540928,0.014283391,0.000163726],"about_ca_topic_score_codex":0.0015083037,"about_ca_topic_score_gemma":0.0011209564,"teacher_disagreement_score":0.0027167136,"about_ca_system_score_codex":0.0007135958,"about_ca_system_score_gemma":0.0003963148,"threshold_uncertainty_score":0.008737624},"labels":[],"label_agreement":null},{"id":"W3121894513","doi":"10.1111/j.1540-6261.2010.01573.x","title":"Intraday Patterns in the Cross‐section of Stock Returns","year":2010,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":207,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Predictability; Market liquidity; Stock (firearms); Econometrics; Continuation; Trading strategy; Financial economics; Volatility (finance); Economics; High-frequency trading; Monetary economics; Mathematics; Computer science; Statistics; Geography","score_opus":0.02448375834582077,"score_gpt":0.23460285829085173,"score_spread":0.21011909994503097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121894513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99554527,0.00018287716,0.0024705683,0.00007761777,0.000010484875,0.000006409618,0.00040584875,0.000057233934,0.001243771],"genre_scores_gemma":[0.99913234,0.000037862428,0.00024492972,0.000008015182,0.00001387264,0.0000030010817,0.0003418658,0.0000068239424,0.00021130296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997032,0.00005046425,0.000033752865,0.00008554674,0.00008459718,0.000042421016],"domain_scores_gemma":[0.99400675,0.0024062877,0.0016984653,0.0008273425,0.0007513756,0.00030970934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011087202,0.00018737941,0.00030791448,0.0011683566,0.00019792153,0.0008135089,0.00024229521,0.00034792977,0.0020078113],"category_scores_gemma":[0.007304012,0.00018175278,0.00022734793,0.000989287,0.00025689937,0.00052938616,0.00046611374,0.00043029408,0.0005004096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046283173,0.00017409702,0.93913126,0.00004419533,0.00028520383,0.00050772453,0.00029224803,0.013096225,0.013237621,0.004667301,0.0016606111,0.02644078],"study_design_scores_gemma":[0.000008909471,0.00007661975,0.9641089,0.000009479543,0.00003177923,0.00030696605,0.00008737668,0.030028934,0.0018427038,0.0025506062,0.0009289015,0.000018928293],"about_ca_topic_score_codex":0.0012060957,"about_ca_topic_score_gemma":0.00087471976,"teacher_disagreement_score":0.0020078113,"about_ca_system_score_codex":0.00020772658,"about_ca_system_score_gemma":0.00010108414,"threshold_uncertainty_score":0.006716788},"labels":[],"label_agreement":null},{"id":"W3121905498","doi":"10.1017/s002210901700045x","title":"Mutual fund performance evaluation and best clienteles","year":2017,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Université Laval; Université du Québec en Outaouais; Université du Québec à Montréal","funders":"","keywords":"Mutual fund; Measure (data warehouse); Financial economics; Economics; Econometrics; Business; Monetary economics; Computer science; Finance","score_opus":0.11823239387641887,"score_gpt":0.2822097940681061,"score_spread":0.16397740019168722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121905498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9611614,0.0007843673,0.011734017,0.0008261071,0.0000125889,0.000038307975,0.00005266588,0.000057088186,0.025333455],"genre_scores_gemma":[0.9988563,0.00003367799,0.0007676316,0.000015934897,0.000009916742,0.000006567851,0.00001330012,0.0000046437676,0.00029213174],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9830876,0.0065427907,0.0013290667,0.0012810297,0.006001744,0.0017578045],"domain_scores_gemma":[0.92134553,0.038995497,0.0203003,0.005525503,0.0093141105,0.0045189452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019276636,0.0006347933,0.0011258916,0.0025372538,0.0014562877,0.0047373134,0.0009025064,0.0015008558,0.0024526266],"category_scores_gemma":[0.10163927,0.00024596747,0.00036769346,0.0011425453,0.0025153211,0.005208192,0.0040436657,0.0014762917,0.00043315574],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004868058,0.00084399915,0.45869115,0.0004797977,0.0006382696,0.0013367379,0.0058176965,0.09230001,0.013561767,0.16813937,0.0027407988,0.2505824],"study_design_scores_gemma":[0.0003457046,0.0029644906,0.43195474,0.00061899173,0.00031783903,0.0022099747,0.0066449014,0.18063007,0.03798371,0.32824227,0.0076300143,0.0004572729],"about_ca_topic_score_codex":0.0006189042,"about_ca_topic_score_gemma":0.00065354485,"teacher_disagreement_score":0.019276636,"about_ca_system_score_codex":0.0023702357,"about_ca_system_score_gemma":0.0010378764,"threshold_uncertainty_score":0.10194582},"labels":[],"label_agreement":null},{"id":"W3121906439","doi":"10.1093/rfs/hhaa081","title":"Who Is Afraid of BlackRock?","year":2020,"lang":"en","type":"preprint","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; McGill University","funders":"","keywords":"Volatility (finance); Market liquidity; Business; Monetary economics; Financial fragility; Asset management; Sample (material); Financial system; Financial crisis; Finance; Economics; Macroeconomics","score_opus":0.10797235360419838,"score_gpt":0.29877286076584564,"score_spread":0.19080050716164726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121906439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89654535,0.013484702,0.0014395182,0.05145238,0.0003607737,0.00001644155,0.00013178725,0.000022776214,0.036546215],"genre_scores_gemma":[0.9902784,0.0028518355,0.00021828433,0.0022051015,0.00018972307,0.0000045155,0.00003454959,0.000008508719,0.004209086],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991825,0.00032512023,0.000024724139,0.00008873692,0.00018203049,0.00019682001],"domain_scores_gemma":[0.9944635,0.0019137932,0.0022090937,0.00012617653,0.0004474861,0.00084000116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002109765,0.00015362626,0.0003486596,0.0008225827,0.0008976062,0.0025017683,0.0003793833,0.0010570588,0.00915234],"category_scores_gemma":[0.010489734,0.00011963005,0.00011729208,0.0008385629,0.0014815298,0.0028164939,0.0008437821,0.00097622804,0.001090326],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070506777,0.00022464144,0.52177364,0.00035844883,0.00018374715,0.0027783797,0.01333324,0.0006800263,0.0020054006,0.038232874,0.054512233,0.3652122],"study_design_scores_gemma":[0.00006111332,0.0005706184,0.6216786,0.0019272739,0.00022383509,0.007091265,0.08521485,0.0056524584,0.003450334,0.07178605,0.2021716,0.00017200537],"about_ca_topic_score_codex":0.005503584,"about_ca_topic_score_gemma":0.006829733,"teacher_disagreement_score":0.00915234,"about_ca_system_score_codex":0.00069481845,"about_ca_system_score_gemma":0.00081268407,"threshold_uncertainty_score":0.030617654},"labels":[],"label_agreement":null},{"id":"W3121912971","doi":"10.2139/ssrn.654506","title":"A Framework for Exploring the Macroeconomic Determinants of Systematic Risk","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Actuarial science; Econometrics","score_opus":0.04542715330433507,"score_gpt":0.2479264621277074,"score_spread":0.2024993088233723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121912971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.094739035,0.0057346756,0.8164844,0.020978145,0.00021531979,0.0001976119,0.0011257954,0.00023820593,0.060286853],"genre_scores_gemma":[0.90597165,0.004236277,0.07930604,0.0005541109,0.00063234125,0.00032126709,0.00025899016,0.00004339228,0.008675928],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99914324,0.0004561252,0.000035016667,0.00012754602,0.000116752955,0.00012127438],"domain_scores_gemma":[0.99439234,0.0040240465,0.00063334155,0.00033043796,0.00029126642,0.0003285626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030901649,0.0007311908,0.00096591003,0.002893945,0.0009301091,0.0038480798,0.0015580411,0.0022029914,0.009148777],"category_scores_gemma":[0.008909185,0.00047789168,0.0012438335,0.0021923,0.0024759679,0.004896211,0.0016446734,0.002105027,0.000495095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006527062,0.000029509483,0.0014611521,0.000018502647,0.000029836494,0.000068990186,0.00008129264,0.010000468,0.00013419491,0.98411787,0.000668984,0.0033826162],"study_design_scores_gemma":[0.000013155521,0.000023364564,0.0012947365,0.000022935104,0.00001639639,0.000037623093,0.00010871912,0.033551943,0.000033584995,0.9626068,0.0022746546,0.00001602228],"about_ca_topic_score_codex":0.006153377,"about_ca_topic_score_gemma":0.0078083784,"teacher_disagreement_score":0.009148777,"about_ca_system_score_codex":0.0013296551,"about_ca_system_score_gemma":0.002409408,"threshold_uncertainty_score":0.030605733},"labels":[],"label_agreement":null},{"id":"W3121921970","doi":"10.3905/joi.2014.23.3.043","title":"R<sup>2</sup> and the Benefits of Multiple-Fund Portfolios","year":2014,"lang":"en","type":"article","venue":"The Journal of Investing","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Portfolio; Diversification (marketing strategy); Equity (law); Fund of funds; Business; Modern portfolio theory; Actuarial science; Financial economics; Finance; Economics; Marketing; Political science","score_opus":0.0441599469934356,"score_gpt":0.21236111631258076,"score_spread":0.16820116931914514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121921970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97316056,0.0026756194,0.011564018,0.001291594,0.000030788262,0.000026136811,0.00007483178,0.00007967314,0.011096873],"genre_scores_gemma":[0.9971801,0.00028031674,0.0019851527,0.00003598585,0.000022799688,0.0000040477707,0.000026715163,0.0000073279025,0.00045749196],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981846,0.00087964843,0.00011669969,0.00014213631,0.00047181683,0.00020498806],"domain_scores_gemma":[0.9869451,0.006523314,0.0035245873,0.0014898956,0.0007420237,0.00077510386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004999724,0.00045936368,0.00044760463,0.001077047,0.00035250632,0.00193178,0.0004905734,0.0007439843,0.0021076067],"category_scores_gemma":[0.023860049,0.00013848432,0.00036502114,0.0012024015,0.00077142916,0.0027621698,0.0021649438,0.0006204699,0.00026556203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027966339,0.0006424444,0.25711757,0.00028878392,0.0005286973,0.00058484194,0.0007604573,0.106577285,0.0074373237,0.078952044,0.0021636975,0.54215026],"study_design_scores_gemma":[0.0004308414,0.0050726472,0.45847356,0.0003342291,0.0007270962,0.0025658966,0.0029450106,0.1874635,0.01648731,0.30794975,0.017391542,0.00015859772],"about_ca_topic_score_codex":0.00046445872,"about_ca_topic_score_gemma":0.0006738257,"teacher_disagreement_score":0.004999724,"about_ca_system_score_codex":0.0006588949,"about_ca_system_score_gemma":0.00049845414,"threshold_uncertainty_score":0.026441395},"labels":[],"label_agreement":null},{"id":"W3121930170","doi":"10.1111/j.1468-2443.2007.00062.x","title":"How do Individual, Institutional, and Foreign Investors Win and Lose in Equity Trades? Evidence from Japan<sup>*</sup>","year":2006,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Equity (law); Institutional investor; Monetary economics; Volume-weighted average price; Business; Stock price; Market timing; Financial economics; Economics; Finance; Initial public offering; Corporate governance; Cost price","score_opus":0.06480663968402336,"score_gpt":0.27021508581024,"score_spread":0.20540844612621664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121930170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989792,0.00023767409,0.00001803554,0.00007148211,0.0000014522823,0.0000012298917,0.000029307004,4.4989048e-7,0.0006611809],"genre_scores_gemma":[0.9993594,0.00023352426,0.000018419414,0.000030320009,0.0000076988845,8.912497e-7,0.000076709075,5.504462e-7,0.00027231232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958605,0.00010966552,0.000039382867,0.00006468982,0.00009280309,0.00010728614],"domain_scores_gemma":[0.9947903,0.0009768571,0.003082304,0.00020259838,0.00040871138,0.0005392017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012464931,0.0001421251,0.00024321732,0.0006001247,0.0004263753,0.0010572351,0.00023082495,0.00044208654,0.0012281149],"category_scores_gemma":[0.0037103575,0.000112674184,0.00018318763,0.0008107148,0.0005667806,0.0008563987,0.000597797,0.00036789052,0.0002683751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032707534,0.000057377314,0.99057287,0.000020353558,0.00007636106,0.00022494847,0.000674719,0.00010735392,0.00027675388,0.0001472458,0.00023726259,0.007277714],"study_design_scores_gemma":[0.000012178487,0.00009780404,0.99662054,0.000007508216,0.000056952704,0.00013087825,0.0019948361,0.00019458913,0.00019390094,0.00015192255,0.00053355144,0.000005317795],"about_ca_topic_score_codex":0.010030186,"about_ca_topic_score_gemma":0.022436744,"teacher_disagreement_score":0.010030186,"about_ca_system_score_codex":0.00032862468,"about_ca_system_score_gemma":0.00019410874,"threshold_uncertainty_score":0.019943595},"labels":[],"label_agreement":null},{"id":"W3121936198","doi":"10.48550/arxiv.1610.01937","title":"Trading against disorderly liquidation of a large position under\\n asymmetric information and market impact","year":2016,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Position (finance); Asset (computer security); Portfolio; Business; Financial economics; Information asymmetry; Hedge; Trading strategy; Market impact; Monetary economics; Economics; Market microstructure; Finance; Order (exchange)","score_opus":0.03337274536971663,"score_gpt":0.179247152097443,"score_spread":0.14587440672772636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121936198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9195055,0.0002854242,0.065754406,0.0011837771,0.000038050675,0.0000363107,0.00006872238,0.000065654065,0.013062059],"genre_scores_gemma":[0.99686664,0.000094318435,0.0019534896,0.000032625187,0.000016345894,0.000009010984,0.00001493741,0.0000034846257,0.0010091402],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960786,0.0001303938,0.000024715377,0.0000661636,0.00006983699,0.00010106146],"domain_scores_gemma":[0.9962597,0.0017094486,0.0013497431,0.00019841538,0.00012598968,0.00035667606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012592826,0.00043671014,0.0005258186,0.0004015082,0.00038412635,0.0017081862,0.0007178218,0.0015596412,0.00186594],"category_scores_gemma":[0.0072148377,0.00027403058,0.0005110569,0.00024402703,0.002113516,0.002566492,0.0011477979,0.00078570034,0.00012641803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006174067,0.00021812397,0.009477992,0.00012478806,0.00011965801,0.0020264462,0.00023118951,0.48809725,0.009200911,0.47305512,0.001005562,0.015825635],"study_design_scores_gemma":[0.00007364696,0.00012985825,0.0020838678,0.000013943541,0.000028054239,0.00014175424,0.00008798431,0.8295528,0.001331362,0.16627137,0.00025060095,0.00003475381],"about_ca_topic_score_codex":0.0014169256,"about_ca_topic_score_gemma":0.0007355118,"teacher_disagreement_score":0.00186594,"about_ca_system_score_codex":0.00081420486,"about_ca_system_score_gemma":0.00058676256,"threshold_uncertainty_score":0.006659806},"labels":[],"label_agreement":null},{"id":"W3121941588","doi":"","title":"Starting on the Wrong Foot : Seasonality in Mutual Fund Performance","year":2016,"lang":"en","type":"article","venue":"Lancaster EPrints (Lancaster University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Mutual fund; Economics; Quarter (Canadian coin); Passive management; Stock (firearms); Monetary economics; Index fund; Cash; Closed-end fund; Econometrics; Open-end fund; Business; Financial economics; Institutional investor; Finance; Fund of funds; Geography; Market liquidity; Mathematics; Statistics; Corporate governance","score_opus":0.07717422046856846,"score_gpt":0.19639716306642466,"score_spread":0.1192229425978562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121941588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952231,0.0002632082,0.0003358128,0.0012388696,0.000023371997,0.000003439823,0.0004194849,0.000033221888,0.0024595116],"genre_scores_gemma":[0.9990976,0.00006497879,0.00009584851,0.00010554081,0.00002631135,0.0000010563656,0.00016944951,0.000010176361,0.0004291333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975723,0.00003617849,0.000022134376,0.00007143545,0.000055732595,0.00005716972],"domain_scores_gemma":[0.9972435,0.0007311378,0.0010715892,0.00025412973,0.00037351414,0.00032608942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068486185,0.00006930678,0.00018956228,0.0006992706,0.00022441529,0.0010421402,0.00020479396,0.0003962706,0.002194215],"category_scores_gemma":[0.0056929523,0.00009334457,0.00013313863,0.0008707805,0.0003233967,0.00064346293,0.0004336379,0.00040818495,0.00043569822],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038603356,0.00003705835,0.9432262,0.000040033658,0.00009874955,0.00025848695,0.0021159563,0.0008838457,0.0051398426,0.0026287471,0.006938106,0.038246952],"study_design_scores_gemma":[0.0000040897194,0.000021865539,0.9959681,0.000012360015,0.000015451657,0.00004261268,0.0004355593,0.0009301711,0.0003640826,0.0007213636,0.001476073,0.000008254489],"about_ca_topic_score_codex":0.018533831,"about_ca_topic_score_gemma":0.03129815,"teacher_disagreement_score":0.018533831,"about_ca_system_score_codex":0.00049379724,"about_ca_system_score_gemma":0.0002515813,"threshold_uncertainty_score":0.036851883},"labels":[],"label_agreement":null},{"id":"W3121957342","doi":"10.2139/ssrn.2386679","title":"It Hurts (Stock Prices) When Your Team is About to Lose a Soccer Match","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Stock (firearms); Stock price; Business; Economics; Econometrics; Advertising; Engineering; Biology","score_opus":0.018877400363673354,"score_gpt":0.23029236111758844,"score_spread":0.21141496075391508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121957342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9518579,0.00084483234,0.0009106224,0.012606201,0.00064088195,0.000020308435,0.0009510035,0.00007100533,0.03209724],"genre_scores_gemma":[0.9930294,0.00029363253,0.00012809079,0.0009216215,0.0002904015,0.000006956471,0.00034156794,0.000010903915,0.004977461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996321,0.000066625034,0.00002947507,0.00005921234,0.00010942265,0.000103223945],"domain_scores_gemma":[0.9962877,0.0007779919,0.0016827864,0.000107652675,0.00037646375,0.0007673553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006681468,0.00019627808,0.00030655184,0.00043715496,0.00057664386,0.003158109,0.00029167105,0.001818312,0.014002811],"category_scores_gemma":[0.010562069,0.00021970857,0.00025866256,0.00036165264,0.0003747045,0.001152195,0.0006065178,0.00201398,0.0025649802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014532238,0.00053937203,0.8934928,0.0000818714,0.000371944,0.0018808203,0.00076052983,0.003028656,0.001704976,0.006635648,0.035052,0.05499819],"study_design_scores_gemma":[0.000104313345,0.00071756414,0.94718075,0.0001043842,0.0002059973,0.00095038593,0.0033167268,0.013373021,0.0011040262,0.016187523,0.016658794,0.000096520176],"about_ca_topic_score_codex":0.005784224,"about_ca_topic_score_gemma":0.006919447,"teacher_disagreement_score":0.014002811,"about_ca_system_score_codex":0.00051406916,"about_ca_system_score_gemma":0.00027950338,"threshold_uncertainty_score":0.046844006},"labels":[],"label_agreement":null},{"id":"W3121975044","doi":"10.1017/s0022109016000491","title":"Differential Access to Price Information in Financial Markets","year":2016,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Market liquidity; Volatility (finance); Business; Capital market; Monetary economics; Economics; Welfare; Finance; Market economy","score_opus":0.03243655442648915,"score_gpt":0.26170901801018603,"score_spread":0.22927246358369688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121975044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9267117,0.0012617088,0.05100297,0.001856918,0.000040955765,0.0000513314,0.0002709419,0.00015124866,0.018652245],"genre_scores_gemma":[0.99649054,0.00022069534,0.002508496,0.00007597379,0.000036680514,0.0000145661415,0.00004073372,0.000009075029,0.0006032062],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99605787,0.0017277347,0.000291185,0.0005888067,0.0008926956,0.00044181102],"domain_scores_gemma":[0.9105501,0.057760287,0.018967789,0.009302036,0.002035043,0.0013847857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006984723,0.0003480074,0.001024363,0.001000594,0.0009786143,0.0050005503,0.0011156816,0.002241655,0.007203579],"category_scores_gemma":[0.056929864,0.0005750739,0.0007496868,0.0013773154,0.0033501766,0.009215733,0.0025952908,0.0024328227,0.0004484904],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022778404,0.0015673907,0.09044825,0.0005787777,0.00046759026,0.0018600539,0.0019945486,0.0722051,0.021434257,0.6896994,0.0030370452,0.11442967],"study_design_scores_gemma":[0.0005813357,0.0008677603,0.05940239,0.00017943625,0.00039889742,0.0013881403,0.0010800986,0.20522307,0.013609764,0.71000475,0.007033468,0.00023101497],"about_ca_topic_score_codex":0.0010901708,"about_ca_topic_score_gemma":0.0009204654,"teacher_disagreement_score":0.007203579,"about_ca_system_score_codex":0.001422336,"about_ca_system_score_gemma":0.00071040227,"threshold_uncertainty_score":0.036939204},"labels":[],"label_agreement":null},{"id":"W3122007062","doi":"10.1287/mnsc.2014.1975","title":"Rational Information Leakage","year":2014,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Information leakage; Insider; Incentive; Private information retrieval; Insider trading; Profit (economics); Business; Value of information; Microeconomics; Information asymmetry; Asset (computer security); Economics; Financial economics; Industrial organization; Actuarial science; Finance; Computer science; Computer security","score_opus":0.015869186542402033,"score_gpt":0.19194013276073815,"score_spread":0.17607094621833613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122007062","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2315971,0.002713185,0.63050014,0.011367606,0.00020994472,0.00038199604,0.00066583056,0.0004524835,0.12211178],"genre_scores_gemma":[0.97832346,0.0010835038,0.013160887,0.0006435559,0.00016571222,0.00012200885,0.000086396685,0.000035534107,0.0063790283],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99320835,0.0026987966,0.00046646877,0.0011233076,0.0016996805,0.00080346083],"domain_scores_gemma":[0.96434283,0.02101179,0.006179458,0.006276025,0.0016080595,0.0005818149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006789376,0.0009149244,0.0013807215,0.0009485887,0.0008759304,0.005153936,0.0014193105,0.003771237,0.0066279736],"category_scores_gemma":[0.033016596,0.0006301293,0.0014295677,0.0010076276,0.004800408,0.00895072,0.0027611798,0.0029716515,0.00080114556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016920645,0.000121797566,0.0032450592,0.00029226468,0.00013375559,0.00049965153,0.00059441087,0.026832106,0.002356631,0.9433635,0.0021935056,0.02019813],"study_design_scores_gemma":[0.00008205226,0.000095109695,0.0012596463,0.0001002368,0.0000697863,0.00040664687,0.0001351066,0.07965267,0.001445073,0.9111118,0.005595462,0.00004639274],"about_ca_topic_score_codex":0.00092223816,"about_ca_topic_score_gemma":0.0005071123,"teacher_disagreement_score":0.006789376,"about_ca_system_score_codex":0.0017466166,"about_ca_system_score_gemma":0.0015186085,"threshold_uncertainty_score":0.035906076},"labels":[],"label_agreement":null},{"id":"W3122014492","doi":"10.5430/ijfr.v12n2p202","title":"Stock Market Reforms and Stock Market Performance","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Equity (law); Business; Abnormal return; Stock (firearms); Volatility (finance); Economics; Monetary economics; Financial system; Stock exchange; Finance","score_opus":0.07347173192622046,"score_gpt":0.31941780561736977,"score_spread":0.2459460736911493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122014492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99548584,0.0003980276,0.0001870884,0.00024399301,0.000013416607,0.000014492085,0.00067413127,0.000018119876,0.0029648473],"genre_scores_gemma":[0.99890053,0.00011874221,0.000044165925,0.000017801167,0.00002078696,0.0000032931175,0.0005110752,0.0000014696303,0.0003820025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993537,0.0001235761,0.00007106361,0.00007064669,0.00021944981,0.00016149905],"domain_scores_gemma":[0.9934854,0.0013062778,0.004149049,0.00020260719,0.00050354074,0.00035314637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007464834,0.00017754931,0.0002335078,0.0010443323,0.00018436325,0.0012025296,0.00022638279,0.00036485243,0.0021377432],"category_scores_gemma":[0.004781862,0.000070787755,0.00039398344,0.0015989847,0.0003503235,0.00059562444,0.0004328082,0.0007831006,0.0003719426],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016686083,0.00015539232,0.9831215,0.000045075525,0.00014875413,0.00024696044,0.00013300564,0.0035120542,0.0006057539,0.0009948805,0.0005909902,0.010278738],"study_design_scores_gemma":[0.0000035690257,0.00013766016,0.99589795,0.0000062875297,0.00003718659,0.000048250226,0.00015457369,0.0021639506,0.00043499356,0.00012435183,0.0009827658,0.000008460715],"about_ca_topic_score_codex":0.010110525,"about_ca_topic_score_gemma":0.009022363,"teacher_disagreement_score":0.010110525,"about_ca_system_score_codex":0.000734435,"about_ca_system_score_gemma":0.00047646978,"threshold_uncertainty_score":0.020103335},"labels":[],"label_agreement":null},{"id":"W3122026588","doi":"10.1016/j.jbankfin.2012.10.004","title":"International portfolio selection with exchange rate risk: A behavioural portfolio theory perspective","year":2012,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Portfolio; Economics; Exchange rate; Portfolio optimization; Post-modern portfolio theory; Modern portfolio theory; Econometrics; Hedge; Selection (genetic algorithm); Replicating portfolio; Market portfolio; Financial economics; Actuarial science; Computer science; Monetary economics","score_opus":0.022887917226370787,"score_gpt":0.23036649848629653,"score_spread":0.20747858125992574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122026588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37088373,0.004443613,0.5447431,0.012307724,0.00027279442,0.000091844464,0.00016916303,0.00008855048,0.06699949],"genre_scores_gemma":[0.9749468,0.0021690857,0.013724898,0.00038969758,0.00030781256,0.000044028726,0.00007033959,0.000018902707,0.0083284145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988697,0.00066446123,0.000041408286,0.0001354425,0.0001600147,0.00012884954],"domain_scores_gemma":[0.99512213,0.003279299,0.00067578675,0.00027205888,0.00032402982,0.00032668177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002862145,0.00082069664,0.0010723962,0.0010471516,0.00037390165,0.0034808314,0.0016158143,0.0025198418,0.004126927],"category_scores_gemma":[0.009319504,0.00043800718,0.0009442286,0.0011982282,0.002167529,0.004764823,0.0014171778,0.0018857277,0.00029786275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039823295,0.00010442299,0.005981892,0.000052930103,0.00015626791,0.00024986453,0.0002063665,0.06172702,0.00054959476,0.9167159,0.00068617694,0.0135297235],"study_design_scores_gemma":[0.000028310282,0.00007424319,0.0036256781,0.000025848047,0.00004836845,0.00013203963,0.00014564558,0.16002965,0.00010149418,0.83495057,0.0008129813,0.000025160438],"about_ca_topic_score_codex":0.001339322,"about_ca_topic_score_gemma":0.0010594805,"teacher_disagreement_score":0.004126927,"about_ca_system_score_codex":0.0009478561,"about_ca_system_score_gemma":0.0006104684,"threshold_uncertainty_score":0.0151366},"labels":[],"label_agreement":null},{"id":"W3122041980","doi":"10.2139/ssrn.979534","title":"Inter-Market Competition for NYSE-Listed Securities under Decimals","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Business; Competition (biology); Decimal; Third market; Financial economics; Monetary economics; Financial market; Economics; Finance; Mathematics; Arithmetic","score_opus":0.029421743463412586,"score_gpt":0.22135465313037023,"score_spread":0.19193290966695764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122041980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8884488,0.00060290063,0.0012581302,0.0011226754,0.00007799172,0.000018010243,0.00060132844,0.00004429106,0.107825935],"genre_scores_gemma":[0.99508333,0.00010002609,0.00015048955,0.000055064455,0.000034520257,0.000004487525,0.00019225266,0.0000063576413,0.0043734647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991722,0.00018285454,0.000056788707,0.000088871086,0.00024309989,0.00025615076],"domain_scores_gemma":[0.99260736,0.0036160664,0.0014803003,0.00030352784,0.00081134425,0.0011814395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015387433,0.00019878411,0.00046262873,0.0010442615,0.0009079921,0.0046840473,0.00045725162,0.00094140694,0.023627624],"category_scores_gemma":[0.01087457,0.00011719236,0.0002389469,0.0010357532,0.00058112905,0.0021999718,0.00096180046,0.0008564681,0.0018953129],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008843759,0.0011847622,0.13242543,0.00037390253,0.00017623695,0.001868183,0.0013190722,0.028717,0.018376002,0.6446367,0.053344183,0.10873472],"study_design_scores_gemma":[0.0007261997,0.002321686,0.38469788,0.00027461356,0.00018514083,0.0015139633,0.0061185607,0.19484717,0.01552913,0.32819614,0.06532313,0.0002663681],"about_ca_topic_score_codex":0.0024787653,"about_ca_topic_score_gemma":0.0046418505,"teacher_disagreement_score":0.023627624,"about_ca_system_score_codex":0.001153442,"about_ca_system_score_gemma":0.0007571385,"threshold_uncertainty_score":0.079042256},"labels":[],"label_agreement":null},{"id":"W3122055788","doi":"10.1093/rfs/hhs063","title":"Asymmetric Information, Portfolio Managers, and Home Bias","year":2012,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Portfolio; Asset (computer security); Value (mathematics); Home market; Mutual fund; Finance; Monetary economics; Financial economics; Economics; Market economy","score_opus":0.05832504407616062,"score_gpt":0.2585951048167529,"score_spread":0.20027006074059228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122055788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6954977,0.008519281,0.23312917,0.012398443,0.0001730848,0.00013033765,0.00045067898,0.00013840804,0.049562827],"genre_scores_gemma":[0.99161714,0.0014952072,0.0034918152,0.00023231073,0.00013023437,0.000026484342,0.000040675855,0.000004323351,0.0029617418],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991437,0.00038602183,0.00003723229,0.00011389475,0.00015412441,0.00016495855],"domain_scores_gemma":[0.99326354,0.003441785,0.0024142447,0.00034663005,0.00026495257,0.00026875408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027350178,0.0004779828,0.000886504,0.000956972,0.0003669595,0.0024413364,0.0009772182,0.0017695137,0.003497745],"category_scores_gemma":[0.010425961,0.0003247227,0.0004947216,0.0009892541,0.0013895524,0.0033272852,0.00089341804,0.0011468699,0.0003482163],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028361357,0.00020415035,0.023990056,0.00016752737,0.00017686588,0.0009350415,0.00063588127,0.082769535,0.0010661028,0.8366977,0.0039496534,0.049123794],"study_design_scores_gemma":[0.00013788138,0.00009912337,0.00717603,0.000055964607,0.000069986185,0.00040488545,0.0001475274,0.16903765,0.00036035167,0.8199831,0.0024851381,0.000042296786],"about_ca_topic_score_codex":0.001535766,"about_ca_topic_score_gemma":0.0007970793,"teacher_disagreement_score":0.003497745,"about_ca_system_score_codex":0.0010956227,"about_ca_system_score_gemma":0.00063021044,"threshold_uncertainty_score":0.014464319},"labels":[],"label_agreement":null},{"id":"W3122065160","doi":"10.1111/1911-3846.12225","title":"Dynamic Information Disclosure","year":2016,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Voluntary disclosure; Economic rent; Asset (computer security); Business; Actuarial science; Turnover; Accounting; Microeconomics; Economics; Computer science; Computer security; Management","score_opus":0.061232542291073826,"score_gpt":0.28465266368695136,"score_spread":0.22342012139587752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122065160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5667274,0.0045206756,0.28725177,0.008866552,0.0005736645,0.0003628786,0.001314446,0.0004477476,0.12993486],"genre_scores_gemma":[0.9902238,0.000443878,0.004976539,0.00014235864,0.00010004715,0.00003215159,0.00010551445,0.000010799673,0.0039649084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99742645,0.0008139572,0.0001837598,0.00049762754,0.0005350365,0.00054323097],"domain_scores_gemma":[0.97136164,0.015280889,0.008322547,0.0023749848,0.001803205,0.0008567842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029112203,0.0005259998,0.00069875695,0.00061433314,0.00060318486,0.0030686099,0.001198827,0.0016034546,0.008059311],"category_scores_gemma":[0.03078064,0.0003577907,0.00030366745,0.0008746556,0.0009774598,0.0032451334,0.0012241546,0.0017085756,0.0006376681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010404633,0.00042449823,0.007764003,0.00029342886,0.00008491443,0.00088369736,0.00037505184,0.1232628,0.008374234,0.74029166,0.007088529,0.110116735],"study_design_scores_gemma":[0.00034733515,0.00069661275,0.006290261,0.0001947845,0.00012052487,0.0011292221,0.0004516359,0.30940956,0.010959069,0.6484554,0.021837488,0.00010814924],"about_ca_topic_score_codex":0.0009790563,"about_ca_topic_score_gemma":0.0005338409,"teacher_disagreement_score":0.008059311,"about_ca_system_score_codex":0.0013813884,"about_ca_system_score_gemma":0.0016401417,"threshold_uncertainty_score":0.026961148},"labels":[],"label_agreement":null},{"id":"W3122066900","doi":"","title":"Asset Prices Under Habit Formation and Reference-Dependent Preferences","year":2007,"lang":"en","type":"article","venue":"Scholarly Commons (University of Pennsylvania)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université de Montréal","keywords":"Equity premium puzzle; Economics; Capital asset pricing model; Habit; Consumption (sociology); Risk aversion (psychology); Econometrics; Asset (computer security); Consumption-based capital asset pricing model; Loss aversion; Recession; Equity (law); Risk premium; Financial economics; Microeconomics; Expected utility hypothesis; Macroeconomics","score_opus":0.055228906166767316,"score_gpt":0.2131090488422696,"score_spread":0.1578801426755023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122066900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9243306,0.00024005164,0.061345212,0.0009493352,0.000030266654,0.000020354282,0.00019930892,0.000110142355,0.012774733],"genre_scores_gemma":[0.99593854,0.00011095861,0.0012292997,0.00004633633,0.000024341154,0.000009711392,0.00006422636,0.000009131755,0.002567377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955016,0.00015487445,0.000018115492,0.00010222071,0.00006784599,0.000106781925],"domain_scores_gemma":[0.9973265,0.0009641969,0.00088023767,0.0003986232,0.00019401443,0.0002363202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015856171,0.00043074405,0.0006037586,0.00035522183,0.00033135223,0.00200591,0.000656431,0.00092920737,0.002675883],"category_scores_gemma":[0.0075581144,0.00031861893,0.00057235203,0.00053629046,0.0013237806,0.0024189213,0.0009947413,0.0010985971,0.00046743205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049670215,0.00022133127,0.026598802,0.00007295752,0.00018615613,0.0011467375,0.0006961566,0.22443111,0.0043688663,0.7151626,0.0018847133,0.024733912],"study_design_scores_gemma":[0.00011099916,0.00019321524,0.023172904,0.00001517816,0.00005869036,0.00030991464,0.00019319248,0.45359194,0.00069735793,0.52041537,0.0011875968,0.00005362815],"about_ca_topic_score_codex":0.0049330136,"about_ca_topic_score_gemma":0.0028355226,"teacher_disagreement_score":0.0049330136,"about_ca_system_score_codex":0.00094452506,"about_ca_system_score_gemma":0.0005327996,"threshold_uncertainty_score":0.0098086},"labels":[],"label_agreement":null},{"id":"W3122075419","doi":"10.1016/s0304-405x(00)00071-4","title":"The information content of stock markets: why do emerging markets have synchronous stock price movements?","year":2000,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Stock (firearms); Stock price; Monetary economics; Business; Stock market bubble; Financial economics; Economics; Stock market; Geography; Biology","score_opus":0.019213938931300995,"score_gpt":0.2028284366957617,"score_spread":0.1836144977644607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122075419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9563654,0.0021867391,0.022373268,0.00582846,0.00018455865,0.000034936726,0.000677965,0.00019105764,0.012157614],"genre_scores_gemma":[0.99591905,0.0007696217,0.0019903935,0.00037289783,0.00027729894,0.000015115114,0.00015538189,0.000032065167,0.00046806983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995111,0.00009894823,0.00004009359,0.00012590137,0.00015115483,0.00007274378],"domain_scores_gemma":[0.97334063,0.018481594,0.0037744523,0.0017987345,0.0017657044,0.0008388403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002053634,0.00019962365,0.000589395,0.0012950957,0.00036999185,0.0023765936,0.00069768156,0.0017330296,0.0036675155],"category_scores_gemma":[0.039533164,0.0005018823,0.00030777595,0.0013187345,0.0011064032,0.0063307756,0.0007804961,0.0009567355,0.0007385313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014316565,0.00048020136,0.4166939,0.00074196374,0.0006818245,0.0017317716,0.0032896304,0.024216395,0.022684054,0.24676569,0.022761699,0.25852114],"study_design_scores_gemma":[0.0003322311,0.00024371863,0.44633996,0.00016127112,0.0002971635,0.0011892231,0.001348726,0.07178674,0.006264594,0.46226642,0.009641947,0.00012794878],"about_ca_topic_score_codex":0.0010644703,"about_ca_topic_score_gemma":0.00090621854,"teacher_disagreement_score":0.0036675155,"about_ca_system_score_codex":0.00044243774,"about_ca_system_score_gemma":0.00033703935,"threshold_uncertainty_score":0.01226902},"labels":[],"label_agreement":null},{"id":"W3122079540","doi":"10.1287/mnsc.2013.1796","title":"Can Analysts Analyze Mergers?","year":2013,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Earnings; Stock (firearms); Database transaction; Business; Mergers and acquisitions; Accounting; Finance; Financial economics; Economics; Computer science; Database","score_opus":0.019779730947502773,"score_gpt":0.20645686277229466,"score_spread":0.1866771318247919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122079540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6684566,0.016419755,0.034646284,0.12908027,0.0013589236,0.00017290292,0.0011573151,0.00075470493,0.14795326],"genre_scores_gemma":[0.9851177,0.003378229,0.0043639517,0.0021387695,0.0005125182,0.00003650292,0.00026251966,0.000024384437,0.004165452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980274,0.000973641,0.000097118864,0.00028887135,0.0003836178,0.00022942861],"domain_scores_gemma":[0.9696313,0.01646504,0.0076216417,0.001445935,0.0032580702,0.0015780223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00486839,0.0006913465,0.0003974398,0.0042535043,0.00074867695,0.0046326085,0.00068673666,0.0024191455,0.006728318],"category_scores_gemma":[0.07229348,0.0003291442,0.0003182334,0.0032116508,0.0012390546,0.010863651,0.0013638051,0.0010772486,0.0018345253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008944593,0.00027511333,0.4333682,0.00036014666,0.0002478724,0.0016074216,0.019001985,0.003271746,0.0018400133,0.05484969,0.05304083,0.43124247],"study_design_scores_gemma":[0.00024004099,0.000462422,0.19918859,0.00082306017,0.00028380146,0.003619307,0.055504393,0.02835546,0.0041720807,0.53973883,0.167367,0.0002450248],"about_ca_topic_score_codex":0.003373071,"about_ca_topic_score_gemma":0.0042057293,"teacher_disagreement_score":0.006728318,"about_ca_system_score_codex":0.00093985256,"about_ca_system_score_gemma":0.0014478837,"threshold_uncertainty_score":0.025746822},"labels":[],"label_agreement":null},{"id":"W3122081038","doi":"10.1017/s0022109018000480","title":"Unknown Unknowns: Uncertainty About Risk and Stock Returns","year":2018,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":158,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Erasmus Research Institute of Management; Vereniging Trustfonds Erasmus Universiteit Rotterdam; York University","keywords":"Stock (firearms); Volatility (finance); Economics; Econometrics; Financial economics; Geography","score_opus":0.032472633979226374,"score_gpt":0.26271379477990336,"score_spread":0.230241160800677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122081038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802249,0.0024247111,0.0095970975,0.0028063133,0.00006067923,0.000018096574,0.0003780341,0.000043037504,0.004447113],"genre_scores_gemma":[0.99891365,0.00029312418,0.00030131137,0.00008511718,0.000057566638,0.0000031371278,0.00010574492,0.0000039078614,0.00023653785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755824,0.0009943444,0.00020966711,0.0005579543,0.00046757213,0.00021224728],"domain_scores_gemma":[0.90835536,0.06597086,0.018760145,0.0039210715,0.0015184757,0.0014740706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057484475,0.00055677036,0.00081067736,0.00090864726,0.00049499446,0.004281208,0.00066981534,0.0016766398,0.0039788615],"category_scores_gemma":[0.052976202,0.0003276605,0.0008709211,0.0010323073,0.0016268479,0.0038107212,0.0014370434,0.0019357392,0.0003010466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011859064,0.00028806395,0.9030091,0.0001496771,0.0014009017,0.0004925128,0.0005636056,0.023695365,0.0010916332,0.021071928,0.0012021004,0.045849197],"study_design_scores_gemma":[0.00008137953,0.00046481367,0.8263067,0.0001225432,0.0007039723,0.00047692444,0.0011877855,0.054318376,0.0016934556,0.11240296,0.0020735234,0.00016755742],"about_ca_topic_score_codex":0.0028820003,"about_ca_topic_score_gemma":0.0023207709,"teacher_disagreement_score":0.0057484475,"about_ca_system_score_codex":0.00058120274,"about_ca_system_score_gemma":0.00054094533,"threshold_uncertainty_score":0.030401051},"labels":[],"label_agreement":null},{"id":"W3122109422","doi":"","title":"The Puzzling Evolution of the Home Bias, Information Processing and Financial Openness","year":2006,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Openness to experience; Economics; Equity (law); Portfolio; Asset (computer security); Liberalization; Asset allocation; Monetary economics; Econometrics; Financial economics","score_opus":0.018688450219828626,"score_gpt":0.18438249556984784,"score_spread":0.16569404535001922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122109422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776495,0.00081558427,0.01574787,0.00085419044,0.000010899515,0.000007398453,0.00007947854,0.000042946947,0.004792093],"genre_scores_gemma":[0.9985972,0.00021177185,0.0008273664,0.00003278884,0.000012671133,0.0000020806494,0.000022735505,0.000003799046,0.0002895699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997819,0.00008410828,0.000011320904,0.0000431715,0.000039847648,0.000039648297],"domain_scores_gemma":[0.9950978,0.0029995034,0.0013026813,0.0002942352,0.00017274806,0.00013297146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011392322,0.000183027,0.00035115393,0.0006328838,0.0001787791,0.0011762292,0.00028078328,0.0005589656,0.0010450821],"category_scores_gemma":[0.008146294,0.00022098466,0.0003064741,0.0005368129,0.0010596501,0.0019683524,0.00052091037,0.0006019311,0.0001089073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007450919,0.00023047578,0.48084855,0.00027951287,0.00042923083,0.0017920592,0.0028215963,0.15319385,0.011428545,0.21148668,0.0024512913,0.13429312],"study_design_scores_gemma":[0.00008057884,0.00014126189,0.41544196,0.00008381015,0.00011004665,0.0007220981,0.0006238963,0.27509615,0.0049530966,0.29974854,0.0028976032,0.000101023405],"about_ca_topic_score_codex":0.0024824361,"about_ca_topic_score_gemma":0.001381503,"teacher_disagreement_score":0.0024824361,"about_ca_system_score_codex":0.00056491914,"about_ca_system_score_gemma":0.00019576408,"threshold_uncertainty_score":0.0060249567},"labels":[],"label_agreement":null},{"id":"W3122114737","doi":"10.37214/jofweb.2","title":"Reassessing False Discoveries in Mutual Fund Performance: Skill, Luck, or Lack of Power? A Reply","year":2020,"lang":"en","type":"report","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Luck; Power (physics); Psychology; Mutual fund; Economics; Epistemology; Finance; Philosophy; Physics","score_opus":0.1406405573511821,"score_gpt":0.3099300943798813,"score_spread":0.16928953702869917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122114737","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017908259,0.0012974098,0.00030652017,0.9901924,0.007726362,0.0000050373033,0.00009605916,0.00002631795,0.00017081678],"genre_scores_gemma":[0.0047038193,0.0018185497,0.0007251321,0.96078753,0.03075114,0.000042202315,0.000060054343,0.00004858388,0.0010630814],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97388285,0.012699318,0.0034574356,0.0033363516,0.005566975,0.0010569611],"domain_scores_gemma":[0.7311417,0.21383522,0.00867935,0.0093791485,0.0323713,0.0045932],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04532442,0.0012409773,0.0020420407,0.0019256932,0.0027648993,0.004634412,0.0054416596,0.043743808,0.0050536767],"category_scores_gemma":[0.24998957,0.0011879026,0.001621644,0.0024073755,0.008288396,0.010946373,0.0037549087,0.05424037,0.0048704785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074559306,0.000028719223,0.0011972046,0.00011417309,0.000055640336,0.00017003907,0.00047294825,0.000080883896,0.00014104239,0.008149469,0.97672343,0.012791787],"study_design_scores_gemma":[0.00040335875,0.00016071791,0.00788605,0.0013245227,0.00022998256,0.0019753443,0.0025709386,0.0014082585,0.0019746907,0.092402756,0.88920736,0.00045600338],"about_ca_topic_score_codex":0.008932212,"about_ca_topic_score_gemma":0.007909581,"teacher_disagreement_score":0.95467556,"about_ca_system_score_codex":0.0036014174,"about_ca_system_score_gemma":0.006529279,"threshold_uncertainty_score":0.23970127},"labels":[],"label_agreement":null},{"id":"W3122121409","doi":"10.1016/j.jbankfin.2019.03.014","title":"The counterparty risk exposure of ETF investors","year":2019,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Imperial Bank of Commerce (Canada)","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Agence Nationale de la Recherche","keywords":"Collateral; Credit risk; Business; Counterparty; Swap (finance); Portfolio; Credit valuation adjustment; Actuarial science; Finance","score_opus":0.014139866746745423,"score_gpt":0.19788098317994648,"score_spread":0.18374111643320107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122121409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937122,0.00034001173,0.0007047448,0.00036455432,0.000016894768,0.0000060163566,0.00012925675,0.000012749437,0.0047136047],"genre_scores_gemma":[0.9980654,0.000077010285,0.00007706185,0.000021315329,0.000024815938,0.0000014394097,0.000069974834,0.0000018046051,0.001661061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969053,0.00005530226,0.000026627547,0.00006251352,0.00007709611,0.00008801395],"domain_scores_gemma":[0.9949479,0.002273114,0.0016001937,0.00028768936,0.000343135,0.00054793095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010297092,0.0001590961,0.00028881067,0.0005088664,0.00018879493,0.0016545218,0.00025669544,0.0011643054,0.0066545834],"category_scores_gemma":[0.012768585,0.00012954026,0.00023216562,0.00037721678,0.00026336082,0.0017523709,0.0005741442,0.000869042,0.00047395256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029827359,0.0008419404,0.76100034,0.000101940735,0.00030156595,0.0019613102,0.0013497126,0.014608298,0.011848751,0.04529435,0.003964418,0.1557446],"study_design_scores_gemma":[0.000097152675,0.0009929107,0.9086943,0.0000542986,0.0001365456,0.0022380794,0.0009610546,0.036831718,0.0024816862,0.043153256,0.004278282,0.000080668615],"about_ca_topic_score_codex":0.00071376405,"about_ca_topic_score_gemma":0.0004321346,"teacher_disagreement_score":0.0066545834,"about_ca_system_score_codex":0.00038654564,"about_ca_system_score_gemma":0.00012906457,"threshold_uncertainty_score":0.022261798},"labels":[],"label_agreement":null},{"id":"W3122129437","doi":"10.3390/jrfm11020017","title":"Equity Options During the Shorting Ban of 2008","year":2018,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Commission; Business; Financial economics; Monetary economics; Database transaction; Economics; Finance","score_opus":0.021822748730843,"score_gpt":0.23021675959933954,"score_spread":0.20839401086849654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122129437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830966,0.00037358727,0.00097638543,0.0014275289,0.00014248188,0.000032928412,0.00155917,0.00011110944,0.012280248],"genre_scores_gemma":[0.99258727,0.000145138,0.00048255193,0.00054585165,0.00012939615,0.000023815956,0.0013522822,0.000018042974,0.0047156205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984421,0.00020934478,0.00011296212,0.00016999463,0.00078952266,0.00027612937],"domain_scores_gemma":[0.9934354,0.002192619,0.0024632502,0.000523945,0.0010441194,0.00034065498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019138805,0.00023395885,0.0003169523,0.0005933964,0.0005681677,0.0012680589,0.00034249126,0.0011277857,0.0018067092],"category_scores_gemma":[0.00875931,0.00016809726,0.00014540805,0.0004889719,0.0007037441,0.00092623034,0.00061903195,0.0018408904,0.00045190516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0058643217,0.001817578,0.4126865,0.0003542863,0.00017322548,0.0035624376,0.00595118,0.01309351,0.040907763,0.080224134,0.10634836,0.32901675],"study_design_scores_gemma":[0.0002145845,0.0011839496,0.8479811,0.00014445456,0.00008557401,0.00068134745,0.0013963792,0.012442879,0.021419521,0.0093737785,0.10491662,0.00015974359],"about_ca_topic_score_codex":0.015030722,"about_ca_topic_score_gemma":0.019163929,"teacher_disagreement_score":0.015030722,"about_ca_system_score_codex":0.0013180871,"about_ca_system_score_gemma":0.00056800636,"threshold_uncertainty_score":0.029886425},"labels":[],"label_agreement":null},{"id":"W3122131720","doi":"","title":"Models for Bundle Trading in Financial Markets","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bidding; Humanities; Flexibility (engineering); Economics; Welfare economics; Mathematics; Computer science; Mathematical economics; Microeconomics; Art; Management","score_opus":0.08507026426689701,"score_gpt":0.2840143439650925,"score_spread":0.1989440796981955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122131720","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043823823,0.0017873803,0.93055105,0.0014646275,0.00018538469,0.00007955674,0.00044913206,0.00026528473,0.021393808],"genre_scores_gemma":[0.77426374,0.0030804155,0.1620738,0.00033684395,0.00043749146,0.0006635936,0.00095145137,0.00032878987,0.05786386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990994,0.0004759917,0.00004811703,0.00013407652,0.00014490467,0.00009757261],"domain_scores_gemma":[0.9982352,0.0011287653,0.00018937608,0.000142527,0.00014187538,0.00016227447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020899016,0.0010845192,0.001594587,0.0009977695,0.00083020603,0.002992321,0.0018181042,0.0029246316,0.013311275],"category_scores_gemma":[0.0060636257,0.0008044323,0.0019036768,0.001449464,0.0015591416,0.004343761,0.0016630208,0.0018520647,0.0015899226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005609451,0.000044667882,0.00074729015,0.00005276531,0.00003547408,0.000104580395,0.00011488921,0.521484,0.0002637891,0.46889606,0.0015030279,0.0066973274],"study_design_scores_gemma":[0.000014484152,0.000013851274,0.000113761096,0.000008118567,0.0000069234684,0.000028220511,0.000015982834,0.8273331,0.00003266115,0.17091072,0.0015146104,0.000007539517],"about_ca_topic_score_codex":0.0040495847,"about_ca_topic_score_gemma":0.0033426764,"teacher_disagreement_score":0.013311275,"about_ca_system_score_codex":0.0013560491,"about_ca_system_score_gemma":0.00093106803,"threshold_uncertainty_score":0.04453063},"labels":[],"label_agreement":null},{"id":"W3122137670","doi":"10.24148/wp2014-16","title":"Long-Run Risk is the Worst-Case Scenario: Ambiguity Aversion and Non-Parametric Estimation of the Endowment Process","year":2016,"lang":"en","type":"article","venue":"Federal Reserve Bank of San Francisco, Working Paper Series","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Econometrics; Risk aversion (psychology); Ambiguity aversion; Consumption (sociology); Ambiguity; Order (exchange); Constraint (computer-aided design); Estimation; Dividend; Parametric statistics; Asset (computer security); Microeconomics; Expected utility hypothesis; Financial economics; Computer science; Mathematics; Statistics; Finance","score_opus":0.02015108777270414,"score_gpt":0.22157760209041372,"score_spread":0.20142651431770958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122137670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5356938,0.0013102111,0.43864104,0.010822624,0.000106736974,0.000048182676,0.00016508493,0.00009889139,0.013113482],"genre_scores_gemma":[0.98825115,0.00035645856,0.0097272,0.00015561863,0.00010596582,0.000023777902,0.000029413919,0.000017747043,0.0013327833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99644274,0.002386013,0.0001073862,0.0004190793,0.00025833186,0.00038645303],"domain_scores_gemma":[0.94247997,0.047336873,0.006812355,0.0017979585,0.00064556696,0.0009272612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010750253,0.00089447334,0.0014737233,0.0007152137,0.0008972214,0.004083834,0.0012878481,0.0029591252,0.0013651391],"category_scores_gemma":[0.049675245,0.00083009055,0.0011737411,0.00071513536,0.0033442609,0.0055337604,0.002944275,0.0042411056,0.000120237215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000247352,0.00019333971,0.009444518,0.00009275956,0.00025573687,0.002302196,0.0005212968,0.5833738,0.0006255019,0.390737,0.0014889606,0.010717495],"study_design_scores_gemma":[0.000033278364,0.000054099528,0.0016523602,0.000028177174,0.000053657994,0.00037106872,0.0001961779,0.7137912,0.0002846087,0.28311965,0.00035191068,0.00006383808],"about_ca_topic_score_codex":0.002982622,"about_ca_topic_score_gemma":0.001674487,"teacher_disagreement_score":0.010750253,"about_ca_system_score_codex":0.0013557277,"about_ca_system_score_gemma":0.00088992866,"threshold_uncertainty_score":0.056853414},"labels":[],"label_agreement":null},{"id":"W3122139523","doi":"10.1093/rfs/hhu074","title":"Dynamic Hedging and Extreme Asset Co-movements","year":2014,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Asset (computer security); Volume (thermodynamics); Economics; Business; Financial economics; Computer science; Computer security","score_opus":0.060776108211415596,"score_gpt":0.2866822689248029,"score_spread":0.22590616071338732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122139523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9644059,0.0022694801,0.027093483,0.0005223638,0.000035184818,0.000012204113,0.000091561764,0.00003616532,0.0055337106],"genre_scores_gemma":[0.9986603,0.00040205548,0.0005036633,0.000022601716,0.000022023385,0.0000027766362,0.000026465088,0.0000025885688,0.00035750231],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997799,0.000059911512,0.000015894528,0.00005498765,0.00004013004,0.000049248974],"domain_scores_gemma":[0.9973127,0.0012322327,0.0010635565,0.00015562127,0.0001098168,0.00012599374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070201786,0.00031220628,0.00039247685,0.0005098787,0.00019913622,0.0011590691,0.0003978767,0.0007891554,0.0016944677],"category_scores_gemma":[0.0046534156,0.00022309557,0.00040237838,0.00074810785,0.00060157984,0.0012611066,0.0007563388,0.000776077,0.00011362224],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010987452,0.00039746898,0.33033574,0.00041363595,0.0008848702,0.0056010243,0.00074371725,0.28783676,0.021616504,0.18270983,0.0027033559,0.16565831],"study_design_scores_gemma":[0.00006327677,0.00038181493,0.34664056,0.00011937214,0.0002832792,0.0021972738,0.00051508035,0.4345169,0.0038081724,0.20697993,0.0044008177,0.000093498544],"about_ca_topic_score_codex":0.0007157885,"about_ca_topic_score_gemma":0.0006114595,"teacher_disagreement_score":0.0016944677,"about_ca_system_score_codex":0.00046814082,"about_ca_system_score_gemma":0.00013729976,"threshold_uncertainty_score":0.0056685805},"labels":[],"label_agreement":null},{"id":"W3122163009","doi":"10.1016/j.jfineco.2016.02.014","title":"Does variance risk have two prices? Evidence from the equity and option markets","year":2016,"lang":"en","type":"preprint","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Variance risk premium; Equity (law); Intermediary; Economics; Volatility (finance); Price variance; Financial market; Variance (accounting); Financial economics; Econometrics; Stochastic volatility; Finance; Volatility risk premium","score_opus":0.04337067645998574,"score_gpt":0.259890623013975,"score_spread":0.21651994655398923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122163009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91709536,0.010044095,0.01201062,0.020405633,0.00035884467,0.000029003746,0.00047023044,0.000058573754,0.039527655],"genre_scores_gemma":[0.9959622,0.0013129679,0.0005656981,0.00046711977,0.00040051696,0.0000048391057,0.00015316099,0.000017758997,0.0011157506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99835604,0.00047678337,0.0001409541,0.00030900896,0.0004894608,0.00022776354],"domain_scores_gemma":[0.85997915,0.12058942,0.009311697,0.005203032,0.00305465,0.0018621618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007139145,0.00059735525,0.0014594037,0.0014024162,0.0008418463,0.0042795553,0.0018908727,0.0039863912,0.019384082],"category_scores_gemma":[0.069252685,0.0005861793,0.0011727555,0.001236316,0.0051827407,0.008574879,0.002188564,0.0041853036,0.0009390421],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008245409,0.001095437,0.16414076,0.00095474627,0.0011609148,0.0035547072,0.0019261221,0.0062108315,0.0031116302,0.6894599,0.0087523125,0.11138719],"study_design_scores_gemma":[0.0016874316,0.00044350632,0.124714956,0.00026499885,0.00088334223,0.0018798171,0.0017066826,0.017404746,0.0016545926,0.84036404,0.008834311,0.00016159477],"about_ca_topic_score_codex":0.0016358014,"about_ca_topic_score_gemma":0.0007295666,"teacher_disagreement_score":0.019384082,"about_ca_system_score_codex":0.0004789933,"about_ca_system_score_gemma":0.00042299248,"threshold_uncertainty_score":0.06484622},"labels":[],"label_agreement":null},{"id":"W3122191970","doi":"10.2139/ssrn.1571873","title":"Market Regimes, Sectorial Investments, and Time-Varying Risk Premiums","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Economics; Risk premium; Financial economics; Business; Monetary economics","score_opus":0.007660453016903736,"score_gpt":0.19003696643859505,"score_spread":0.1823765134216913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122191970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99548846,0.00039173258,0.0020026977,0.00041638402,0.000010566839,0.00000408367,0.00011881517,0.000026836395,0.0015404939],"genre_scores_gemma":[0.999204,0.00013516763,0.000081096834,0.000011524353,0.00001556578,0.0000015438101,0.00004309925,0.0000043042382,0.0005036671],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997094,0.000068843336,0.000028020791,0.000059975715,0.00003316235,0.00010056972],"domain_scores_gemma":[0.98314214,0.008389394,0.006192329,0.00071742886,0.00034292435,0.0012157486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002553334,0.0002504987,0.00054758653,0.0007228264,0.00026883298,0.0028328085,0.0004309591,0.0012731538,0.00717377],"category_scores_gemma":[0.01416424,0.00024676282,0.00041581554,0.0008702302,0.0008919015,0.0019963726,0.0006613434,0.0012828473,0.0004997956],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001805524,0.00067004364,0.7990322,0.00012542697,0.00048337525,0.001404333,0.00089294807,0.054753337,0.007796681,0.092282675,0.0024308104,0.03832258],"study_design_scores_gemma":[0.00013332185,0.00034996629,0.7027325,0.00004605648,0.00024757892,0.0006722651,0.0006263594,0.15258095,0.0011285873,0.14012356,0.0012753299,0.000083426705],"about_ca_topic_score_codex":0.001373123,"about_ca_topic_score_gemma":0.0015240278,"teacher_disagreement_score":0.00717377,"about_ca_system_score_codex":0.0005256835,"about_ca_system_score_gemma":0.00026269778,"threshold_uncertainty_score":0.023998678},"labels":[],"label_agreement":null},{"id":"W3122198314","doi":"","title":"A Review of the Fundamentals of the Fundamental Review of the Trading Book: Standard Foreign Exchange Rules are Highly Asymmetric with Respect to Reporting Currencies","year":2017,"lang":"en","type":"review","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Imperial Bank of Commerce (Canada)","funders":"","keywords":"Currency; Foreign exchange market; Portfolio; Economics; Financial economics; Formalism (music); Mathematical economics; Econometrics; Monetary economics","score_opus":0.09544560752675198,"score_gpt":0.31175056975755067,"score_spread":0.2163049622307987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122198314","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0143138785,0.65468854,0.1485502,0.06455779,0.028748952,0.00011309973,0.00074036676,0.0004156477,0.087871574],"genre_scores_gemma":[0.22133441,0.6179746,0.041747708,0.015397925,0.05805209,0.00020287275,0.0010990142,0.0005637744,0.04362765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954845,0.0011105022,0.0004273698,0.0006142082,0.0021986244,0.00016483915],"domain_scores_gemma":[0.9889653,0.004675164,0.0007887093,0.0010041363,0.0043430473,0.00022358882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050830888,0.00062903634,0.00074274,0.0034959968,0.000773835,0.004915114,0.0010388567,0.0014747145,0.0028368537],"category_scores_gemma":[0.021303155,0.00056596793,0.0004936678,0.002941393,0.0036177349,0.00521915,0.0010531027,0.003498874,0.0014923156],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047120884,0.00003193684,0.00061935274,0.0010943183,0.00005328797,0.0001094502,0.00019900444,0.003937009,0.0018139038,0.6855415,0.09139502,0.21515805],"study_design_scores_gemma":[0.0000128702295,0.00008364175,0.0017333907,0.0014733617,0.000035038305,0.00039879166,0.00006651283,0.004445259,0.0016517328,0.23415975,0.7558552,0.000084531304],"about_ca_topic_score_codex":0.0018629186,"about_ca_topic_score_gemma":0.0011997267,"teacher_disagreement_score":0.0050830888,"about_ca_system_score_codex":0.002771395,"about_ca_system_score_gemma":0.0027988327,"threshold_uncertainty_score":0.026882231},"labels":[],"label_agreement":null},{"id":"W3122203669","doi":"10.1093/jjfinec/nbj001","title":"Incomplete Information, Heterogeneity, and Asset Pricing","year":2005,"lang":"en","type":"article","venue":"Journal of Financial Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Capital asset pricing model; Economics; Asset (computer security); Financial economics; Finance; Computer science","score_opus":0.03442978217883723,"score_gpt":0.2192372283780304,"score_spread":0.18480744619919315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122203669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67939085,0.0031467872,0.28212523,0.007524245,0.00009370559,0.000058589598,0.0005285243,0.00011146327,0.027020631],"genre_scores_gemma":[0.99368894,0.00051790813,0.0035607954,0.000097261865,0.000062150546,0.000018607967,0.000065254884,0.0000053565695,0.001983527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99932206,0.00029047206,0.00003277155,0.00010564378,0.00012194258,0.00012713393],"domain_scores_gemma":[0.9934075,0.0041414476,0.001521491,0.00045161162,0.00023349425,0.00024440812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001915136,0.00045879348,0.00091208256,0.00056943734,0.00043934805,0.0022984836,0.0010631365,0.0014141882,0.0023006366],"category_scores_gemma":[0.012272564,0.00032864755,0.0004520555,0.0007660464,0.001512108,0.0031740193,0.0008912057,0.0011001932,0.0002017232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106367435,0.00006390764,0.0046472615,0.00006674216,0.000110177214,0.0004599172,0.00018428947,0.24019736,0.00043300574,0.7430278,0.001020459,0.009682677],"study_design_scores_gemma":[0.000038418908,0.00002755444,0.0017589183,0.000017928101,0.000028049551,0.00007494261,0.000055277975,0.28359252,0.0001437083,0.7134114,0.000832648,0.00001869264],"about_ca_topic_score_codex":0.0033047383,"about_ca_topic_score_gemma":0.0021446764,"teacher_disagreement_score":0.0033047383,"about_ca_system_score_codex":0.0011658343,"about_ca_system_score_gemma":0.0005421581,"threshold_uncertainty_score":0.010128379},"labels":[],"label_agreement":null},{"id":"W3122208966","doi":"10.1093/rfs/hht057","title":"The Year-End Trading Activities of Institutional Investors: Evidence from Daily Trades","year":2013,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Institutional investor; Quarter (Canadian coin); Portfolio; Business; Monetary economics; Finance; Economics; Corporate governance; Geography","score_opus":0.09321856953210345,"score_gpt":0.27078371851518745,"score_spread":0.177565148983084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122208966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96724707,0.0231355,0.00045958243,0.00029207964,0.00003256208,0.000013102603,0.0011348326,0.000013359907,0.0076718945],"genre_scores_gemma":[0.9848536,0.011957631,0.00029417608,0.000101676254,0.00014882065,0.0000095105925,0.0014077552,0.0000079309075,0.0012188504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992017,0.00020282043,0.00012231596,0.00012316694,0.00025127278,0.00009868619],"domain_scores_gemma":[0.96618706,0.008180044,0.021104991,0.0010283275,0.0022845555,0.0012150297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020153096,0.00019721905,0.00035180702,0.0024937913,0.00027284233,0.0017021487,0.0003964807,0.0005777866,0.00227459],"category_scores_gemma":[0.011859104,0.00018072008,0.0003491785,0.004190404,0.00031371423,0.0013848467,0.0005648281,0.00048434534,0.0007883102],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035233508,0.00013095274,0.948346,0.00030578286,0.00036281714,0.00030323633,0.0004732818,0.0002614589,0.00047303,0.0011319892,0.0016957369,0.046163328],"study_design_scores_gemma":[0.000014774514,0.00013262614,0.9932673,0.00013958332,0.00015252807,0.00027258208,0.0005241323,0.00033628897,0.00033514487,0.0008147388,0.003991463,0.00001879027],"about_ca_topic_score_codex":0.0034509185,"about_ca_topic_score_gemma":0.0063148225,"teacher_disagreement_score":0.0034509185,"about_ca_system_score_codex":0.00027475285,"about_ca_system_score_gemma":0.00023380121,"threshold_uncertainty_score":0.010658085},"labels":[],"label_agreement":null},{"id":"W3122221748","doi":"10.1016/j.jfineco.2017.12.002","title":"Leverage constraints and asset prices: Insights from mutual fund risk taking","year":2017,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Leverage (statistics); Mutual fund; Stochastic discount factor; Capital asset pricing model; Portfolio; Business; Market portfolio; Financial economics; Econometrics; Monetary economics; Economics; Finance; Computer science","score_opus":0.053130951048222345,"score_gpt":0.23673126687652699,"score_spread":0.18360031582830463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122221748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9489079,0.0028686277,0.019717159,0.0030613944,0.000026005922,0.000020110601,0.0002107168,0.00004661047,0.025141384],"genre_scores_gemma":[0.9982394,0.0005155085,0.00036596344,0.000024123821,0.000036656722,0.0000034591042,0.000034325403,0.0000041962676,0.0007763477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99974746,0.00006564167,0.000017313889,0.000039841372,0.00006559768,0.00006423737],"domain_scores_gemma":[0.9951121,0.0027787872,0.0012711391,0.00024341783,0.00022669506,0.0003679522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010102311,0.00038417103,0.000641653,0.00064649584,0.00043160084,0.0033796418,0.00072126,0.0015140906,0.0048499806],"category_scores_gemma":[0.012993928,0.00037895277,0.00041898558,0.00076237123,0.00097183115,0.0042015514,0.0011860902,0.0019426717,0.00022247725],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052293617,0.00036120912,0.09258589,0.00016648088,0.00025442234,0.0022033888,0.0013931246,0.084563285,0.0039837766,0.74841076,0.0038675016,0.061687175],"study_design_scores_gemma":[0.00006152882,0.00012868928,0.06341482,0.00006118569,0.00012572473,0.0005410064,0.0006538017,0.16472985,0.0007539553,0.76629466,0.0031562496,0.00007858804],"about_ca_topic_score_codex":0.0036045928,"about_ca_topic_score_gemma":0.002985635,"teacher_disagreement_score":0.0048499806,"about_ca_system_score_codex":0.00079768983,"about_ca_system_score_gemma":0.0005959314,"threshold_uncertainty_score":0.016224742},"labels":[],"label_agreement":null},{"id":"W3122252849","doi":"10.3390/jrfm12040179","title":"Testing the Information-Based Trading Hypothesis in the Option Market: Evidence from Share Repurchases","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Financial economics; Stock (firearms); Economics; Private information retrieval; Implied volatility; Stock market; Empirical evidence; Monetary economics; Business; Econometrics","score_opus":0.03955092742378084,"score_gpt":0.20247679412604247,"score_spread":0.1629258667022616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122252849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986456,0.0001437908,0.00032867148,0.00009589135,0.0000017854414,0.000007883412,0.000028321758,0.0000019363454,0.0007460669],"genre_scores_gemma":[0.9993055,0.00016211047,0.0002575106,0.000028629975,0.0000068438308,0.0000050034164,0.00008206353,0.0000014791552,0.00015081203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876,0.0005916641,0.00013212126,0.000114853545,0.00031910758,0.000082304505],"domain_scores_gemma":[0.9215482,0.059231482,0.010814398,0.004122043,0.002566857,0.0017169848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046821292,0.0002490615,0.00032934418,0.0008180318,0.0004261384,0.0010062231,0.00091458834,0.0011257109,0.0036683974],"category_scores_gemma":[0.04897431,0.00021851275,0.00028016718,0.00064003357,0.0012287515,0.0023167788,0.00092999125,0.0014133125,0.0004349967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006387268,0.0052160257,0.87391,0.00038596126,0.0005416897,0.004169487,0.005674789,0.0028583452,0.018806264,0.0076947426,0.00042974716,0.073925644],"study_design_scores_gemma":[0.00032409726,0.0034721154,0.9509988,0.00012804409,0.00024802046,0.003078062,0.0025362028,0.015442939,0.010743528,0.011557334,0.001398548,0.000072511866],"about_ca_topic_score_codex":0.001398553,"about_ca_topic_score_gemma":0.0009877637,"teacher_disagreement_score":0.0046821292,"about_ca_system_score_codex":0.00017638486,"about_ca_system_score_gemma":0.0002185142,"threshold_uncertainty_score":0.024761736},"labels":[],"label_agreement":null},{"id":"W3122261657","doi":"","title":"The Toronto Stock Exchange Preopening Session","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Session (web analytics); Business; Monetary economics; Market maker; Transparency (behavior); Financial economics; Order (exchange); Price discovery; Stock price; Stock (firearms); Economics; Stock market; Finance; Advertising; Computer science","score_opus":0.025387677296604703,"score_gpt":0.2167833743465281,"score_spread":0.1913956970499234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122261657","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08208357,0.0061347894,0.0029907273,0.032835823,0.015633905,0.0010909693,0.025832282,0.003995021,0.82940286],"genre_scores_gemma":[0.1346752,0.0017157274,0.0017673877,0.0014096738,0.0046028206,0.00024787593,0.011611535,0.00072520244,0.8432445],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776554,0.00021133835,0.00009022341,0.000119429176,0.0014727022,0.00034064866],"domain_scores_gemma":[0.9925816,0.0009477626,0.00056391075,0.0010054982,0.0025617671,0.0023394504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037814588,0.00082141446,0.0006598397,0.0019030028,0.002790388,0.006342842,0.00086755224,0.0013886814,0.24699156],"category_scores_gemma":[0.007008603,0.00035382897,0.0003839197,0.0015319174,0.0007292827,0.001654239,0.0016903688,0.0015961743,0.06453363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003832845,0.00006133967,0.0029521275,0.000043343043,0.000008472954,0.0002228048,0.00028442076,0.00018443514,0.0009459177,0.0030782796,0.95978445,0.03205122],"study_design_scores_gemma":[0.00005299635,0.0000681828,0.02028741,0.000066353496,0.000007133142,0.000064993015,0.00030566042,0.0006404935,0.000790482,0.00082580553,0.97685266,0.000037699036],"about_ca_topic_score_codex":0.090264305,"about_ca_topic_score_gemma":0.2411577,"teacher_disagreement_score":0.9097357,"about_ca_system_score_codex":0.006238698,"about_ca_system_score_gemma":0.0069763567,"threshold_uncertainty_score":0.8262691},"labels":[],"label_agreement":null},{"id":"W3122287012","doi":"","title":"Are Candlestick Trading Strategies Effective in Certain Stocks with Distinct Features","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Technical analysis; Market liquidity; Equity (law); Financial economics; Stock (firearms); Trading strategy; Business; Economics; Econometrics; Finance; Engineering; Political science","score_opus":0.01009794527106174,"score_gpt":0.20482220339528787,"score_spread":0.1947242581242261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122287012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99819785,0.00009354253,0.00023424148,0.000059740203,0.000004989346,0.0000049927635,0.00005358781,0.000007793252,0.0013431725],"genre_scores_gemma":[0.9995708,0.000041490934,0.00013775247,0.000013365167,0.000008214622,0.0000011650832,0.00008562387,0.0000015975727,0.00013992097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966335,0.00006582489,0.000042904983,0.00007621976,0.00007516112,0.00007655311],"domain_scores_gemma":[0.9910625,0.0031604953,0.0041786847,0.0005477294,0.00043517633,0.0006155146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013729688,0.00020092963,0.00023620989,0.0011258197,0.00022225312,0.0011612456,0.0003045395,0.00046326395,0.0017392377],"category_scores_gemma":[0.010975125,0.00013054293,0.0003151946,0.0005690991,0.00047810946,0.001370069,0.0003587161,0.00040761256,0.00036555936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023182949,0.000059498267,0.97844464,0.000013097647,0.000060515795,0.00010608665,0.00010211023,0.000496442,0.0012960082,0.00030912235,0.00014834454,0.018732244],"study_design_scores_gemma":[0.000010130135,0.00013416032,0.9938491,0.000010135672,0.000036843143,0.0001226161,0.00031879777,0.0039590965,0.0007869771,0.00044480662,0.00031812445,0.000009239431],"about_ca_topic_score_codex":0.0029352896,"about_ca_topic_score_gemma":0.0052453787,"teacher_disagreement_score":0.0029352896,"about_ca_system_score_codex":0.00023287727,"about_ca_system_score_gemma":0.00030206487,"threshold_uncertainty_score":0.007261038},"labels":[],"label_agreement":null},{"id":"W3122296049","doi":"","title":"Short-Term Persistence in Mutual Fund Performance","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decile; Econometrics; Mutual fund; Ranking (information retrieval); Economics; Market timing; Persistence (discontinuity); Stock (firearms); Basis point; Term (time); Passive management; Quarter (Canadian coin); Financial economics; Statistics; Actuarial science; Monetary economics; Mathematics; Geography; Finance; Bond; Fund of funds; Computer science","score_opus":0.03681603027904813,"score_gpt":0.21997485469405945,"score_spread":0.1831588244150113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122296049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981805,0.00010672086,0.0007660726,0.000107795095,0.0000047613753,0.0000037479822,0.00034202271,0.000025513953,0.0004628953],"genre_scores_gemma":[0.9991918,0.000028470495,0.00009124931,0.000008597972,0.000008829359,0.0000031565987,0.00043237113,0.0000035266562,0.00023208228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992055,0.00014529467,0.00009486884,0.00021265699,0.00019318004,0.00014847126],"domain_scores_gemma":[0.9850172,0.0050386908,0.006955811,0.0015744183,0.0007586492,0.00065529015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026266885,0.00023197,0.0003867917,0.001053054,0.00019452431,0.0010243073,0.00043669058,0.0007690566,0.0017234113],"category_scores_gemma":[0.021782426,0.00021937092,0.00032520076,0.0011699944,0.00041925584,0.0010684986,0.0007474426,0.00070597825,0.0005084496],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002188614,0.00009639112,0.97545606,0.000022449265,0.00014751576,0.00012698717,0.00023201425,0.008975529,0.0014447285,0.0011677885,0.00054040214,0.011571295],"study_design_scores_gemma":[0.0000092657865,0.0001250936,0.97021735,0.000009957797,0.00003784562,0.00015980532,0.00011247741,0.026760457,0.000585002,0.0014002527,0.0005596339,0.00002288537],"about_ca_topic_score_codex":0.004443125,"about_ca_topic_score_gemma":0.004355226,"teacher_disagreement_score":0.004443125,"about_ca_system_score_codex":0.0006159513,"about_ca_system_score_gemma":0.00027749204,"threshold_uncertainty_score":0.013891399},"labels":[],"label_agreement":null},{"id":"W3122302242","doi":"10.1177/0148558x16640657","title":"Earnings Opacity and Closed-End Country Fund Discounts","year":2016,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Wuhan University; Social Sciences and Humanities Research Council of Canada; National Natural Science Foundation of China","keywords":"Closed-end fund; Business; Earnings; Income fund; Monetary economics; Stock (firearms); Open-end fund; Net asset value; Finance; Economics; Financial system; Institutional investor; Market liquidity; Corporate governance","score_opus":0.023054651550261603,"score_gpt":0.21979285438028737,"score_spread":0.19673820283002577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122302242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980063,0.00012973511,0.00019884665,0.00006052664,0.0000034289892,0.0000035709477,0.000057044293,0.000004088025,0.0015364587],"genre_scores_gemma":[0.9997428,0.00002452034,0.000032676126,0.00000566564,0.00000535006,5.3023007e-7,0.000038536895,8.195261e-7,0.00014903153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999566,0.000060698236,0.000050147755,0.00007280836,0.00014018381,0.000110129906],"domain_scores_gemma":[0.9559798,0.013680502,0.026016647,0.0013212961,0.0010256453,0.0019761517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010229041,0.00016023383,0.00020382344,0.0008267451,0.0002518352,0.0016475329,0.00023737464,0.00034767564,0.0034499888],"category_scores_gemma":[0.019175366,0.0001112259,0.00024482128,0.0006006025,0.0005933877,0.0011839591,0.0009920488,0.0009888173,0.00013244222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030789126,0.00009120007,0.98900604,0.000013583282,0.00006304936,0.00018201933,0.00040873914,0.0007511259,0.0006087814,0.0016225048,0.00014471202,0.0068003787],"study_design_scores_gemma":[0.000007832046,0.00005408896,0.99598,0.000013173108,0.000029210156,0.00017884996,0.0003503,0.0010141159,0.00045524238,0.0015182694,0.00038670644,0.000012271873],"about_ca_topic_score_codex":0.0044876942,"about_ca_topic_score_gemma":0.0041521625,"teacher_disagreement_score":0.0044876942,"about_ca_system_score_codex":0.0005452075,"about_ca_system_score_gemma":0.00023382326,"threshold_uncertainty_score":0.011541307},"labels":[],"label_agreement":null},{"id":"W3122304913","doi":"10.1007/s10679-005-7594-2","title":"What’s in a Name: An Experimental Examination of Investor Behavior","year":2005,"lang":"en","type":"article","venue":"DigitalCommons - Kennesaw State University (Kennesaw State University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Portfolio; Business; Investment (military); Identity (music); Actuarial science; Finance; Law; Political science","score_opus":0.028125270545423617,"score_gpt":0.19973277968188657,"score_spread":0.17160750913646294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122304913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969643,0.00003446533,0.0003603666,0.00027718124,0.000035765275,0.00009685428,0.000053067364,0.00001099928,0.002166933],"genre_scores_gemma":[0.9942168,0.00008135217,0.0019273475,0.00038402967,0.000040561947,0.000493939,0.00007987832,0.000011321973,0.0027647696],"study_design_codex":"bench_or_experimental","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9984983,0.000607013,0.00014297328,0.00041897077,0.00019208138,0.00014060884],"domain_scores_gemma":[0.98455,0.010120317,0.0023862708,0.0018785015,0.0003414397,0.00072344753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002966949,0.0004395028,0.0006021673,0.00022347688,0.00079950556,0.0018986281,0.0006677853,0.0015479715,0.007665439],"category_scores_gemma":[0.014640351,0.00036067222,0.00030743983,0.00020529797,0.001264514,0.0017483142,0.00087169866,0.0016842737,0.00058861467],"study_design_candidate":"randomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.075749986,0.23218645,0.14904244,0.0013118564,0.0009317873,0.0016100272,0.036824275,0.0031041396,0.31425494,0.04177191,0.0059463605,0.1372658],"study_design_scores_gemma":[0.04504169,0.23345067,0.38526684,0.0005803299,0.0019526893,0.0019912852,0.0228724,0.049752787,0.12644993,0.08680796,0.04495607,0.0008774629],"about_ca_topic_score_codex":0.0008206551,"about_ca_topic_score_gemma":0.00088187493,"teacher_disagreement_score":0.007665439,"about_ca_system_score_codex":0.0003775796,"about_ca_system_score_gemma":0.0005033248,"threshold_uncertainty_score":0.025643408},"labels":[],"label_agreement":null},{"id":"W3122318098","doi":"10.1093/rapstu/rat005","title":"Does Active Management Pay? New International Evidence","year":2013,"lang":"en","type":"article","venue":"The Review of Asset Pricing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sophistication; Emerging markets; Business; Financial economics; Economics; Institutional investor; Monetary economics; Finance; Corporate governance","score_opus":0.0632158974608041,"score_gpt":0.30132682911404635,"score_spread":0.23811093165324226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122318098","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25971746,0.444767,0.0023912282,0.10685768,0.0019860936,0.000056835583,0.0023071433,0.000040905874,0.1818756],"genre_scores_gemma":[0.8745674,0.10807218,0.0003091354,0.008416376,0.0050786827,0.000025960619,0.0006253392,0.000023948589,0.0028809735],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99795914,0.0006464884,0.00019916728,0.00044488485,0.00047936806,0.00027105433],"domain_scores_gemma":[0.9436811,0.03540131,0.014929784,0.0015841285,0.0028190701,0.0015846461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049660206,0.00034346204,0.000554611,0.0017233388,0.00046312576,0.0036383194,0.0010519611,0.0018398436,0.024106992],"category_scores_gemma":[0.030698866,0.00019768579,0.00043015424,0.002709898,0.0016673426,0.0032331527,0.0010719906,0.0023426241,0.002016815],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014335504,0.0005059998,0.3934315,0.0034906727,0.0012240683,0.0006773867,0.0014639676,0.00060144457,0.00027917538,0.09950366,0.05898344,0.4384051],"study_design_scores_gemma":[0.00032697618,0.00044529018,0.72017896,0.00845215,0.0014443661,0.0013677055,0.0062181833,0.001286254,0.0004669548,0.07145724,0.18827638,0.000079432706],"about_ca_topic_score_codex":0.0018091945,"about_ca_topic_score_gemma":0.001287178,"teacher_disagreement_score":0.024106992,"about_ca_system_score_codex":0.00067467446,"about_ca_system_score_gemma":0.0005792972,"threshold_uncertainty_score":0.08064586},"labels":[],"label_agreement":null},{"id":"W3122344302","doi":"10.1093/rof/rfu036","title":"Emerging Equity Market Comovements: Trends and Macroeconomic Fundamentals","year":2014,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Inquire Europe","keywords":"Openness to experience; Equity (law); Emerging markets; Economics; Liberalization; Monetary economics; Sample (material); Macroeconomics; Market economy","score_opus":0.03598610216792744,"score_gpt":0.26231927372876035,"score_spread":0.2263331715608329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122344302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870673,0.00593453,0.00072177954,0.00061406486,0.000023357592,0.000007790212,0.0014148554,0.000022588922,0.004193637],"genre_scores_gemma":[0.99753225,0.0012020773,0.00012479727,0.00002345041,0.00004364932,0.0000026655068,0.00071119994,0.0000037721431,0.00035610615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997658,0.000053535237,0.000029104383,0.00005622164,0.000059955368,0.000035446847],"domain_scores_gemma":[0.99597496,0.0009777254,0.0019496642,0.00018874953,0.00065739854,0.00025154595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011081225,0.00011800188,0.0002968849,0.0021074484,0.00011919816,0.0011698105,0.00018519166,0.00026154442,0.0020907898],"category_scores_gemma":[0.0047725625,0.00006194538,0.00020835397,0.0036807936,0.00024121923,0.0009415554,0.00048632888,0.0003493072,0.0003716856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009476303,0.00003601488,0.96493584,0.00007975853,0.00016124302,0.00018141908,0.0004710277,0.0013220161,0.000621318,0.0036184606,0.0019379236,0.02654025],"study_design_scores_gemma":[0.0000030802692,0.000018684677,0.994467,0.000021207048,0.000024171997,0.00008113637,0.00029730066,0.0013380494,0.00011465055,0.001313142,0.002316259,0.0000053093463],"about_ca_topic_score_codex":0.0028543836,"about_ca_topic_score_gemma":0.00263669,"teacher_disagreement_score":0.0028543836,"about_ca_system_score_codex":0.00023960575,"about_ca_system_score_gemma":0.00015476896,"threshold_uncertainty_score":0.0069943666},"labels":[],"label_agreement":null},{"id":"W3122347494","doi":"10.1016/j.jempfin.2005.10.003","title":"Propensity score matching and abnormal performance after seasoned equity offerings","year":2006,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Propensity score matching; Equity (law); Issuer; Matching (statistics); Market timing; Econometrics; Business; Economics; Monetary economics; Initial public offering; Accounting; Finance; Statistics; Mathematics","score_opus":0.06339023125110152,"score_gpt":0.25601546124455155,"score_spread":0.19262522999345003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122347494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99878293,0.000086692206,0.00034329834,0.00016022053,0.000022835986,0.000008599242,0.00026724275,0.000013151727,0.00031500903],"genre_scores_gemma":[0.9991084,0.000025039164,0.00006285566,0.00001652209,0.00003224138,0.000002397145,0.00029493682,0.0000033217232,0.00045423146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988016,0.0003438385,0.00018096084,0.00021470807,0.00015143452,0.00030737917],"domain_scores_gemma":[0.97049844,0.012242698,0.011232421,0.0025375967,0.00106042,0.0024284078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004875348,0.00023851372,0.0005771261,0.001226573,0.0003576821,0.0013490282,0.0007708689,0.0017023254,0.0049880315],"category_scores_gemma":[0.020487297,0.00022269222,0.0008226106,0.0017135114,0.00041120412,0.0011447464,0.0006926199,0.0009737766,0.0006134143],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021908989,0.0005139113,0.98744977,0.000014988862,0.00027993735,0.00012856949,0.00008049988,0.0014878545,0.00043262093,0.0004946584,0.00063758396,0.0062887236],"study_design_scores_gemma":[0.00005774592,0.000532179,0.9868623,0.000006010375,0.00015485061,0.0001370938,0.00016762133,0.010008918,0.0003538075,0.0013812629,0.00032101464,0.00001708106],"about_ca_topic_score_codex":0.004648963,"about_ca_topic_score_gemma":0.0034163536,"teacher_disagreement_score":0.0049880315,"about_ca_system_score_codex":0.00044469014,"about_ca_system_score_gemma":0.00069526327,"threshold_uncertainty_score":0.025783598},"labels":[],"label_agreement":null},{"id":"W3122366529","doi":"10.1080/13504850600825238&amp;magic=repec&amp;7c&amp;7c8674ecab8bb840c6ad35dc6213a474b5","title":"Day-of-the-week effects in emerging stock markets","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Names of the days of the week; Stock (firearms); Emerging markets; Stock market; Business; Economics; Financial economics; Monetary economics; Geography; Finance","score_opus":0.036371156027823585,"score_gpt":0.27445823577442663,"score_spread":0.23808707974660304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122366529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99539787,0.00034783108,0.0026450062,0.00017568498,0.000031433614,0.000016636255,0.00024474558,0.00002832158,0.0011124412],"genre_scores_gemma":[0.99872357,0.00016610748,0.00032382348,0.00003967369,0.000032754953,0.000008178498,0.00017706535,0.000014696244,0.00051411864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990558,0.0003909695,0.0000560351,0.00019851433,0.00016179956,0.00013679336],"domain_scores_gemma":[0.9797545,0.011295034,0.004962763,0.0017917552,0.0011084419,0.0010875897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034137685,0.00034543048,0.0007193177,0.0005124933,0.0003469313,0.0011825761,0.00056509604,0.00059484324,0.002436224],"category_scores_gemma":[0.011969165,0.00029020372,0.00097208447,0.00056352065,0.00049204304,0.0010685541,0.00095399836,0.0013881174,0.00032749717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026863702,0.00072193606,0.9242704,0.00014941959,0.0009510254,0.0007926127,0.0008867533,0.01709133,0.005366736,0.0063402117,0.0028391778,0.037904005],"study_design_scores_gemma":[0.000037044294,0.00034271862,0.9621105,0.000016094524,0.00025964942,0.000116957846,0.00033616388,0.031102434,0.0017541829,0.002717292,0.0011555557,0.000051324194],"about_ca_topic_score_codex":0.0052251695,"about_ca_topic_score_gemma":0.006830716,"teacher_disagreement_score":0.0052251695,"about_ca_system_score_codex":0.0004149252,"about_ca_system_score_gemma":0.00032232094,"threshold_uncertainty_score":0.018053949},"labels":[],"label_agreement":null},{"id":"W3122375277","doi":"10.2139/ssrn.3419065","title":"Trading on Long-Term Information","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Term (time); Business; Computer science","score_opus":0.012258073604305674,"score_gpt":0.19826466426226697,"score_spread":0.1860065906579613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122375277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.781719,0.0043119886,0.14780708,0.0029800185,0.00046801617,0.00005707343,0.00056433445,0.0004928645,0.061599582],"genre_scores_gemma":[0.9899206,0.0004086112,0.0016288003,0.00009059692,0.00012793417,0.0000064280066,0.00013320937,0.000017636869,0.0076662623],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99947816,0.0001228418,0.000043572778,0.000091905495,0.00018269227,0.00008080237],"domain_scores_gemma":[0.9919923,0.0048929444,0.0013931888,0.0009848522,0.00039468374,0.00034206352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012938664,0.0003141641,0.0005845761,0.00061090523,0.0003659769,0.003149467,0.0007530854,0.0016991528,0.011362057],"category_scores_gemma":[0.01181984,0.0002531665,0.00045081315,0.00086100237,0.00051619427,0.0048995344,0.0009060191,0.0010942469,0.0012864867],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026738408,0.0008588182,0.0673982,0.00058790995,0.0008509808,0.0050565596,0.00044941343,0.12712002,0.031511158,0.4432161,0.012469019,0.307808],"study_design_scores_gemma":[0.00012790093,0.00050698186,0.023966048,0.000101734324,0.00023900729,0.0017699052,0.00014402717,0.53726107,0.008488552,0.42105,0.0062551005,0.00008971749],"about_ca_topic_score_codex":0.00040931744,"about_ca_topic_score_gemma":0.0004608514,"teacher_disagreement_score":0.011362057,"about_ca_system_score_codex":0.00047217566,"about_ca_system_score_gemma":0.00030133486,"threshold_uncertainty_score":0.038009822},"labels":[],"label_agreement":null},{"id":"W3122402293","doi":"","title":"Diversification and Portfolio Theory: A Review","year":2018,"lang":"en","type":"review","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université du Québec à Chicoutimi","funders":"","keywords":"Diversification (marketing strategy); Portfolio; Modern portfolio theory; Capital asset pricing model; Economics; Post-modern portfolio theory; Financial economics; Asset allocation; Actuarial science; Portfolio optimization; Replicating portfolio; Microeconomics; Business; Marketing","score_opus":0.0412933280453684,"score_gpt":0.2626219036567276,"score_spread":0.2213285756113592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122402293","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017370324,0.9969681,0.00034680488,0.00051944354,0.00014219343,0.000003948985,0.000017532784,0.000004057487,0.0018242204],"genre_scores_gemma":[0.0018090297,0.99678963,0.00033303117,0.00023432184,0.00039959757,0.0000065625304,0.000031954485,0.0000020752875,0.0003937911],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996252,0.000101469785,0.000051541054,0.00006345005,0.00013315139,0.000025133695],"domain_scores_gemma":[0.99877137,0.00083706115,0.00011688817,0.000034730936,0.00018896765,0.000050926203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085176725,0.0009597574,0.0013863833,0.002664238,0.00037234437,0.001993162,0.0009178223,0.0016062007,0.005395117],"category_scores_gemma":[0.0025411944,0.0003464588,0.0005305338,0.0051792925,0.0008719213,0.0025532527,0.00080339244,0.001646791,0.0018736351],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004450704,0.00009682703,0.00059845805,0.01798295,0.00013303552,0.00024004631,0.00018140118,0.001281873,0.0004839404,0.042316362,0.047205195,0.8894354],"study_design_scores_gemma":[0.000014701272,0.00007179128,0.0016331307,0.010530638,0.00011235256,0.0010762311,0.00012294666,0.00030732725,0.00016775145,0.0419581,0.9439721,0.000032830096],"about_ca_topic_score_codex":0.0013107492,"about_ca_topic_score_gemma":0.0013332652,"teacher_disagreement_score":0.005395117,"about_ca_system_score_codex":0.0008805152,"about_ca_system_score_gemma":0.0020407254,"threshold_uncertainty_score":0.018048465},"labels":[],"label_agreement":null},{"id":"W3122412112","doi":"10.1080/1351847x.2018.1491875","title":"The systematic pricing of market sentiment shock","year":2018,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tyndale University College & Seminary","funders":"","keywords":"Capital asset pricing model; Security market line; Economics; Consumption-based capital asset pricing model; Systematic risk; Market liquidity; Financial economics; Arbitrage pricing theory; Shock (circulatory); Investment theory; Risk premium; Rational pricing; Liquidity risk; Stock market; Econometrics; Monetary economics; Context (archaeology)","score_opus":0.021031596876790366,"score_gpt":0.19987677814255178,"score_spread":0.1788451812657614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122412112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9407427,0.00052586274,0.036251824,0.0010323166,0.00009414668,0.000025597148,0.00020121202,0.000066743116,0.021059519],"genre_scores_gemma":[0.9978696,0.00017584498,0.0006492718,0.00005149525,0.00004661317,0.0000045698143,0.000040362425,0.000005278537,0.0011569114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99989986,0.000016623248,0.0000067361952,0.000017317783,0.000034807472,0.000024567378],"domain_scores_gemma":[0.9991417,0.0002664184,0.00034382098,0.000068582616,0.000116276424,0.0000631791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023266464,0.00023585028,0.00018113652,0.00020134791,0.00017004256,0.00090732746,0.00017954115,0.00039859457,0.0028141472],"category_scores_gemma":[0.0024534434,0.0001199444,0.00024411501,0.00019250208,0.00030507133,0.00078699936,0.0005281201,0.0005237802,0.00019544049],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038916318,0.00035852438,0.17462976,0.00026979588,0.0002618197,0.0024934679,0.0009626216,0.057501942,0.047843773,0.5433507,0.01291054,0.1590278],"study_design_scores_gemma":[0.00007593969,0.00058384676,0.3147729,0.000090053254,0.00017314685,0.001138275,0.00040819385,0.38947743,0.011970719,0.27010143,0.011086745,0.00012128672],"about_ca_topic_score_codex":0.0014143027,"about_ca_topic_score_gemma":0.00100556,"teacher_disagreement_score":0.0028141472,"about_ca_system_score_codex":0.00034767247,"about_ca_system_score_gemma":0.00026702747,"threshold_uncertainty_score":0.009414256},"labels":[],"label_agreement":null},{"id":"W3122412705","doi":"","title":"Evaluating Asset Pricing Models using Micro Portfolios as Test Assets","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Capital asset pricing model; Financial economics; Market liquidity; Test (biology); Economics; Finance","score_opus":0.05136844297043995,"score_gpt":0.28162348401380355,"score_spread":0.23025504104336358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122412705","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7654149,0.0009993706,0.22706804,0.0007926328,0.00006639747,0.0000734111,0.000380976,0.0003548969,0.0048494022],"genre_scores_gemma":[0.9702719,0.00031385908,0.028283352,0.000070173024,0.000059297323,0.000055694214,0.00034268963,0.000030455869,0.0005724972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99803275,0.0012965796,0.000086125925,0.00018863656,0.0003037018,0.00009220658],"domain_scores_gemma":[0.9847341,0.012090305,0.001262153,0.0008282439,0.0005736148,0.00051163335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005600816,0.0010597823,0.0007345487,0.0015503472,0.00023716834,0.0025175763,0.000925082,0.0010910186,0.0011783419],"category_scores_gemma":[0.01987861,0.00042449674,0.0006497431,0.0009091444,0.0005797681,0.0024376055,0.001482145,0.0012709814,0.00024237283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013029826,0.00015973508,0.026916355,0.000047194862,0.00025958786,0.000099831814,0.000054598662,0.92975616,0.0006836328,0.01800823,0.0007199938,0.023164341],"study_design_scores_gemma":[0.000008085068,0.000050279687,0.0012613032,0.00000569097,0.000009670193,0.000012228595,0.000013830686,0.9922736,0.00023863475,0.0059919152,0.00012763006,0.0000070530373],"about_ca_topic_score_codex":0.0019218551,"about_ca_topic_score_gemma":0.0013815956,"teacher_disagreement_score":0.005600816,"about_ca_system_score_codex":0.00074919936,"about_ca_system_score_gemma":0.00062324543,"threshold_uncertainty_score":0.02962029},"labels":[],"label_agreement":null},{"id":"W3122413271","doi":"","title":"Liquidity and Information in Order Driven Markets","year":2010,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Market liquidity; Volatility (finance); Order (exchange); Ask price; Order book; Bid price; Economics; Market microstructure; Econometrics; Limit (mathematics); Financial economics; Microeconomics; Market price; Bid–ask spread; Information asymmetry; Market maker; Monetary economics; Mathematics; Finance","score_opus":0.01019396739996855,"score_gpt":0.1870881624295641,"score_spread":0.17689419502959555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122413271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6749435,0.014679717,0.24641994,0.016677674,0.0006162458,0.00012507298,0.0010703335,0.0006089687,0.044858556],"genre_scores_gemma":[0.98135316,0.0034401782,0.0057576364,0.0003382874,0.00074819947,0.00005632411,0.00018364553,0.000046510733,0.008076089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99886847,0.0004282933,0.00007272669,0.00013838662,0.0003235469,0.00016863276],"domain_scores_gemma":[0.9798814,0.013059509,0.0037512532,0.00074159156,0.0014502014,0.0011160524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032232918,0.0006783747,0.0012129546,0.0021327164,0.00097043166,0.0062615178,0.0010816014,0.002942428,0.0062064338],"category_scores_gemma":[0.023068951,0.00066217687,0.0007796992,0.0022651646,0.0028856997,0.01035622,0.0014966191,0.0024669652,0.0005700388],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023507274,0.00010593113,0.0013749101,0.00016524724,0.000047207828,0.0002976888,0.00022812231,0.035834163,0.0013294219,0.9483562,0.003135659,0.008890376],"study_design_scores_gemma":[0.000044616925,0.000030997806,0.00068508915,0.000019100766,0.000016826252,0.00011893513,0.00003458524,0.09023161,0.00023815206,0.9078638,0.0006871654,0.000029174951],"about_ca_topic_score_codex":0.0018185239,"about_ca_topic_score_gemma":0.0010170712,"teacher_disagreement_score":0.0062615178,"about_ca_system_score_codex":0.0014061106,"about_ca_system_score_gemma":0.0015602302,"threshold_uncertainty_score":0.020762563},"labels":[],"label_agreement":null},{"id":"W3122452544","doi":"10.1016/b978-075068321-0.50005-4","title":"Optimal portfolios from ordering information","year":2007,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Portfolio optimization; Portfolio; Sorting; Mathematical optimization; Modern portfolio theory; Covariance matrix; Efficient frontier; Expected utility hypothesis; Expected return; Computer science; Covariance; Set (abstract data type); Constraint (computer-aided design); Mathematical economics; Mathematics; Economics; Algorithm; Financial economics; Statistics","score_opus":0.028143807823661774,"score_gpt":0.2113820797240591,"score_spread":0.18323827190039732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122452544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028554343,0.0036187093,0.8827516,0.0023447156,0.00033022097,0.00010613696,0.0005990917,0.0006756981,0.081019506],"genre_scores_gemma":[0.5896859,0.008053338,0.29975322,0.000543884,0.0012005763,0.00037055084,0.0020966155,0.00060083455,0.09769513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990657,0.00034902716,0.00005576335,0.00010829716,0.00033854274,0.000082696315],"domain_scores_gemma":[0.99683446,0.0022905266,0.00021855035,0.00032162646,0.00020202812,0.00013280957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017612642,0.0011936727,0.0015560278,0.0015150806,0.0004196301,0.0029508083,0.00082347513,0.0017428003,0.015275926],"category_scores_gemma":[0.012023347,0.0011690742,0.00064690545,0.0021474152,0.0008850056,0.004000833,0.0012806235,0.0016734265,0.002135345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016072065,0.000118925396,0.00064421,0.00021599108,0.00007175407,0.00012238075,0.00008712883,0.21870442,0.0011526403,0.45668298,0.025008515,0.2970303],"study_design_scores_gemma":[0.000040782237,0.00003417579,0.00029880248,0.00006812631,0.000019566713,0.00008972602,0.000015542028,0.36956894,0.00049918744,0.6237426,0.0056036375,0.000018863784],"about_ca_topic_score_codex":0.0011417195,"about_ca_topic_score_gemma":0.0012165972,"teacher_disagreement_score":0.015275926,"about_ca_system_score_codex":0.0012239051,"about_ca_system_score_gemma":0.0013072598,"threshold_uncertainty_score":0.051103055},"labels":[],"label_agreement":null},{"id":"W3122506549","doi":"10.17578/6-1-1","title":"The Scrutinized-firm Effect, Portfolio Rebalancing, Stock Return Seasonality, and the Pervasiveness of the January Effect in Canada","year":2002,"lang":"en","type":"article","venue":"Multinational Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Stock (firearms); January effect; Portfolio; Quarter (Canadian coin); Sample (material); Economics; Stock market; Demographic economics; Monetary economics; Financial economics; Geography","score_opus":0.012504478244728343,"score_gpt":0.19626560840578253,"score_spread":0.1837611301610542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122506549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978689,0.00017308809,0.00007866098,0.00017530168,0.000002696011,0.000005281218,0.0001486389,0.000004058741,0.0015433487],"genre_scores_gemma":[0.99960226,0.000045175853,0.000023978624,0.000011171202,0.0000020365487,4.399908e-7,0.00006542821,9.639177e-7,0.00024860844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989976,0.000061367915,0.000046206587,0.00014065931,0.00043175585,0.00032244742],"domain_scores_gemma":[0.9933428,0.0012009713,0.0028616728,0.00044277648,0.0011931228,0.00095870567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090829283,0.00013948065,0.0003148087,0.0012537118,0.0011833203,0.001262841,0.0006225049,0.00027533792,0.0013972265],"category_scores_gemma":[0.007729395,0.0001708987,0.0003084439,0.0017144727,0.0010434829,0.00046564118,0.0008429817,0.0004557321,0.00005323602],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016825082,0.000026827785,0.98699063,0.000015852369,0.00007850691,0.00017133706,0.0005225286,0.0006260655,0.0005495664,0.0007679505,0.000355612,0.0097269965],"study_design_scores_gemma":[0.0000023718824,0.00001055755,0.99899775,0.0000023322366,0.000011046326,0.000018042016,0.00020330805,0.00030940401,0.00009793912,0.00006796808,0.000275775,0.0000034732332],"about_ca_topic_score_codex":0.9009886,"about_ca_topic_score_gemma":0.9468469,"teacher_disagreement_score":0.09901142,"about_ca_system_score_codex":0.0075421426,"about_ca_system_score_gemma":0.007089651,"threshold_uncertainty_score":0.199189},"labels":[],"label_agreement":null},{"id":"W3122509886","doi":"10.2139/ssrn.556738","title":"Detecting Mean Reversion in Real Exchange Rates from a Multiple Regime STAR Model","year":2004,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Science Foundation","keywords":"Mean reversion; Reversion; Star (game theory); Astrophysics; Physics; Economics; Econometrics; Chemistry","score_opus":0.03455065222888455,"score_gpt":0.23009887073813995,"score_spread":0.1955482185092554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122509886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92019945,0.00008671373,0.07851089,0.00021987449,0.000019308614,0.0000150360875,0.00011468709,0.00025978082,0.0005742154],"genre_scores_gemma":[0.9933721,0.000049260525,0.006113841,0.000020875294,0.000017735734,0.000007175937,0.00014962393,0.000018596658,0.00025086274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995926,0.00019608339,0.000024122453,0.00009070614,0.00005471519,0.000041889507],"domain_scores_gemma":[0.99428034,0.0037418609,0.00082117185,0.00056526763,0.00020634505,0.0003849853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025793985,0.00060277595,0.0016963425,0.00090738846,0.00034682234,0.0009861102,0.00087081874,0.0016607842,0.0010370807],"category_scores_gemma":[0.009947007,0.00071221485,0.000781011,0.00045806263,0.0006198768,0.0014479285,0.0013387786,0.0013870504,0.00016937361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022009218,0.00036413097,0.060809206,0.00022552039,0.00044475638,0.00092744717,0.0002740679,0.8379743,0.016134374,0.050948948,0.0016574325,0.028038869],"study_design_scores_gemma":[0.000020710817,0.000045121375,0.0011225579,0.0000018311156,0.0000081103335,0.000041318755,0.000006792094,0.9930345,0.00043301503,0.0052411985,0.00003955838,0.0000052984024],"about_ca_topic_score_codex":0.0008954041,"about_ca_topic_score_gemma":0.0007460667,"teacher_disagreement_score":0.0025793985,"about_ca_system_score_codex":0.00031303574,"about_ca_system_score_gemma":0.00037007654,"threshold_uncertainty_score":0.013641357},"labels":[],"label_agreement":null},{"id":"W3122511686","doi":"10.1111/j.1468-2443.2006.00052.x","title":"Order Flow Patterns around Seasoned Equity Offerings and their Implications for Stock Price Movements","year":2004,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Equity (law); Institutional investor; Business; Stock (firearms); Financial economics; Monetary economics; Order (exchange); Stock price; Economics; Finance; Corporate governance","score_opus":0.04353629708422909,"score_gpt":0.2375372431027151,"score_spread":0.194000946018486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122511686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977392,0.000062201085,0.00072453753,0.000041497096,0.000010500428,0.000013313288,0.000116771946,0.000013404878,0.0012787287],"genre_scores_gemma":[0.99904245,0.000050857503,0.0003428488,0.0000127703,0.000024128865,0.000005832068,0.00013559776,0.0000050484323,0.00038037566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997633,0.000033922573,0.000026861391,0.000051622068,0.000086740816,0.000037599897],"domain_scores_gemma":[0.99182326,0.0027020404,0.00423456,0.00029719798,0.00044282153,0.0005001472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006552612,0.00013098233,0.0002327048,0.0012832241,0.00020756779,0.0012179444,0.00016898612,0.0002922634,0.0028859412],"category_scores_gemma":[0.0073461463,0.0001232591,0.00015155206,0.0011054671,0.00035937945,0.00072143215,0.00034979955,0.0003923611,0.00028782798],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023002957,0.00048662254,0.8884863,0.00011284308,0.00013526893,0.0007779232,0.0025795219,0.0051452983,0.028665796,0.00458745,0.0011751893,0.06554753],"study_design_scores_gemma":[0.00001871315,0.00018008133,0.98575056,0.000012180224,0.000020462745,0.00014319296,0.00056258886,0.009252791,0.0012236576,0.0019819539,0.0008319296,0.00002178233],"about_ca_topic_score_codex":0.0014575218,"about_ca_topic_score_gemma":0.0022180965,"teacher_disagreement_score":0.0028859412,"about_ca_system_score_codex":0.00034366708,"about_ca_system_score_gemma":0.00014806306,"threshold_uncertainty_score":0.009654403},"labels":[],"label_agreement":null},{"id":"W3122516191","doi":"10.2139/ssrn.3430787","title":"Predictive Blends: Fundamental Indexing Meets Markowitz","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Search engine indexing; Computer science; Artificial intelligence","score_opus":0.01435548388739206,"score_gpt":0.21195418066992605,"score_spread":0.197598696782534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122516191","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013408253,0.0026786102,0.94118375,0.0043473556,0.0017338889,0.00008858169,0.00047179518,0.0026500407,0.03343771],"genre_scores_gemma":[0.64864177,0.0047297142,0.3056244,0.0014441827,0.007526923,0.0002414018,0.0016145768,0.0023213725,0.027855635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957819,0.0012233097,0.00036368644,0.0006215753,0.0016920042,0.00031742055],"domain_scores_gemma":[0.98475015,0.0058776457,0.0012372547,0.0057650204,0.00175359,0.0006162617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008184189,0.0013420505,0.0019321864,0.004272462,0.0014224424,0.009176582,0.002884413,0.0024154498,0.018778138],"category_scores_gemma":[0.04967088,0.0009098393,0.0013042047,0.0057204613,0.0034772872,0.018093692,0.005052418,0.0042243265,0.0069970535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014964661,0.00006901778,0.000738854,0.00009484245,0.000023359473,0.00009331527,0.00014311104,0.005922402,0.0007084551,0.82914215,0.011218794,0.15169603],"study_design_scores_gemma":[0.000016290172,0.000027283037,0.00014379955,0.000026749569,0.000011955905,0.00006121438,0.00003000007,0.06030494,0.00083956687,0.9289536,0.009563512,0.000021098065],"about_ca_topic_score_codex":0.00083638314,"about_ca_topic_score_gemma":0.00053986954,"teacher_disagreement_score":0.018778138,"about_ca_system_score_codex":0.0012245779,"about_ca_system_score_gemma":0.0020391354,"threshold_uncertainty_score":0.06281918},"labels":[],"label_agreement":null},{"id":"W3122526827","doi":"10.1287/mnsc.2020.3804","title":"Newspaper Censorship in China: Evidence from Tunneling Scandals","year":2021,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Newspaper; Censorship; China; Political science; Law","score_opus":0.04756587044390054,"score_gpt":0.239629006302815,"score_spread":0.19206313585891446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122526827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99862504,0.0001235463,0.00005362798,0.00015733724,0.000004361219,0.000008326196,0.00014875834,0.0000033068382,0.0008756865],"genre_scores_gemma":[0.9993666,0.00011316477,0.000031346754,0.000031810585,0.000014653698,0.0000038796675,0.00018364812,0.0000014250329,0.00025347673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988795,0.00032163292,0.0000902884,0.0001403724,0.00032454435,0.00024360529],"domain_scores_gemma":[0.97062194,0.0066806697,0.016141377,0.0019828319,0.0025595864,0.0020136228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002208514,0.00032118012,0.0003707634,0.002254478,0.0014371976,0.0013722739,0.00055904104,0.00061796024,0.001905167],"category_scores_gemma":[0.009466736,0.0002203333,0.00031198756,0.0034168991,0.0017373775,0.0009019395,0.0011417837,0.00077409606,0.00018395534],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022576483,0.00013998593,0.98204756,0.000072109935,0.000111609064,0.0010639421,0.0036505514,0.00039919603,0.00045225082,0.00072642753,0.0013035709,0.00980703],"study_design_scores_gemma":[0.00001389997,0.000050746658,0.99623483,0.000012724469,0.000042290292,0.000103577884,0.0013620277,0.0011276519,0.00025586848,0.00012914778,0.00065165624,0.00001555583],"about_ca_topic_score_codex":0.06858139,"about_ca_topic_score_gemma":0.06771063,"teacher_disagreement_score":0.06858139,"about_ca_system_score_codex":0.0013252811,"about_ca_system_score_gemma":0.0010705176,"threshold_uncertainty_score":0.1363644},"labels":[],"label_agreement":null},{"id":"W3122554083","doi":"10.2139/ssrn.367600","title":"Asset Prices and Informed Traders' Abilities: Evidence from Experimental Asset Markets","year":2003,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Asset (computer security); Economics; Value (mathematics); Financial economics; Econometrics; Actuarial science; Computer science","score_opus":0.0360797518687474,"score_gpt":0.2523285888130005,"score_spread":0.21624883694425312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122554083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963983,0.00026753638,0.00078225153,0.00029374775,0.0000093439585,0.000013803247,0.00012088309,0.0000113451715,0.0021027317],"genre_scores_gemma":[0.998613,0.00031511742,0.00046543448,0.00006360463,0.000019590665,0.000018568775,0.00013265121,0.0000062345302,0.00036569007],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990533,0.0004980772,0.00009353863,0.000111817484,0.00016576964,0.00007754306],"domain_scores_gemma":[0.8762095,0.0981497,0.014172098,0.0096094655,0.0009800285,0.000879154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006915667,0.00047946718,0.0006332277,0.00046213812,0.00041402254,0.0019029704,0.00090183335,0.0016144918,0.009304578],"category_scores_gemma":[0.0632095,0.0006019472,0.0003522211,0.00063299056,0.0028609093,0.0029585161,0.0010041125,0.0018030994,0.0006590174],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.060808934,0.026228415,0.49734715,0.0019375536,0.0038277719,0.0020948392,0.00824185,0.059382748,0.035914198,0.1295002,0.0074691507,0.16724718],"study_design_scores_gemma":[0.0144924745,0.010139757,0.5378638,0.00021149688,0.0017396539,0.0017720793,0.0017559251,0.069021724,0.028933076,0.32700324,0.006683214,0.0003834768],"about_ca_topic_score_codex":0.0006946579,"about_ca_topic_score_gemma":0.0005252861,"teacher_disagreement_score":0.009304578,"about_ca_system_score_codex":0.00028162778,"about_ca_system_score_gemma":0.00029949212,"threshold_uncertainty_score":0.036574006},"labels":[],"label_agreement":null},{"id":"W3122554475","doi":"10.1111/1911-3846.12160","title":"A Better Measure of Institutional Informed Trading","year":2015,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Institutional investor; Extant taxon; Stock (firearms); Trading strategy; Private information retrieval; Financial economics; Business; Earnings; Insider trading; Empirical research; Predictive power; Accounting; Monetary economics; Economics; Finance; Corporate governance; Computer science","score_opus":0.2322377286591267,"score_gpt":0.3187123696775969,"score_spread":0.08647464101847022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122554475","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9373845,0.000742697,0.04322006,0.0004638422,0.000060471255,0.000072399256,0.0018865484,0.00030028008,0.015869213],"genre_scores_gemma":[0.996101,0.000067500354,0.0030662743,0.000027367236,0.000045376146,0.000010093156,0.00039549932,0.0000054437273,0.00028138908],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99865353,0.00028232063,0.00017555534,0.0003869348,0.00040711358,0.00009446065],"domain_scores_gemma":[0.96830064,0.011666954,0.0141372355,0.003035393,0.0018673827,0.0009924113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019492704,0.00040314588,0.0004978694,0.003373334,0.00029370643,0.0020341421,0.0006846765,0.00064803316,0.0028456496],"category_scores_gemma":[0.024311695,0.00012447473,0.00022943712,0.0030457552,0.0007307784,0.003105654,0.0010753947,0.00071026105,0.00036139865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037943505,0.00024768634,0.81586826,0.00018128396,0.00039861657,0.0002987196,0.0005237083,0.025889296,0.005612096,0.019728916,0.0023329228,0.128539],"study_design_scores_gemma":[0.000046046247,0.00052590156,0.7409576,0.00012739301,0.00018493744,0.00080633734,0.0008648707,0.18751761,0.012485945,0.048359554,0.007910035,0.00021376777],"about_ca_topic_score_codex":0.0015459175,"about_ca_topic_score_gemma":0.0011274457,"teacher_disagreement_score":0.003373334,"about_ca_system_score_codex":0.0005326191,"about_ca_system_score_gemma":0.00039121462,"threshold_uncertainty_score":0.010308802},"labels":[],"label_agreement":null},{"id":"W3122587563","doi":"","title":"What Drives International Equity Correlations? Volatility or Market Direction?","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Volatility swap; Econometrics; Forward volatility; Equity (law); Correlation; Financial economics; Volatility risk premium; Volatility smile; Impulse response; Implied volatility; Monetary economics; Mathematics","score_opus":0.06910000506255984,"score_gpt":0.3336208584885905,"score_spread":0.2645208534260307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122587563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795363,0.0012673569,0.009913619,0.0013710365,0.000081842205,0.000023744731,0.0003091183,0.000058134472,0.0074387784],"genre_scores_gemma":[0.9979631,0.00050448015,0.0006728362,0.00007860638,0.000076548946,0.0000057148136,0.00010904948,0.000018722647,0.00057109783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994398,0.00019325684,0.000043893866,0.00010838948,0.00009410865,0.00012059625],"domain_scores_gemma":[0.9921245,0.0037199697,0.0026240787,0.00052244915,0.00059539865,0.0004136971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002007585,0.0004663288,0.0008169848,0.001561579,0.0002825586,0.0030671337,0.00034527623,0.001057211,0.003138232],"category_scores_gemma":[0.013912547,0.00026755553,0.0007667782,0.0021300896,0.0007546483,0.0018187655,0.0006628323,0.00085992337,0.00053572055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003666023,0.00030122948,0.8561093,0.00019651461,0.0007010347,0.0013010277,0.00065823435,0.027962428,0.005672717,0.05616086,0.002050952,0.048519026],"study_design_scores_gemma":[0.00008974068,0.00039577513,0.7113631,0.00019139567,0.00067379244,0.0011652285,0.0013213797,0.1610039,0.004696906,0.11366787,0.005280498,0.00015051498],"about_ca_topic_score_codex":0.0019863737,"about_ca_topic_score_gemma":0.0011665412,"teacher_disagreement_score":0.003138232,"about_ca_system_score_codex":0.00037451435,"about_ca_system_score_gemma":0.00046858974,"threshold_uncertainty_score":0.010617256},"labels":[],"label_agreement":null},{"id":"W3122605455","doi":"","title":"Empirical Tests of the Feltham-Ohlson (1995) Model","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Economics; Leverage (statistics); Earnings; Residual income valuation; Valuation (finance); Book value; Portfolio; Financial economics; Mathematics; Statistics; Finance","score_opus":0.029477676763566697,"score_gpt":0.24522981396524898,"score_spread":0.2157521372016823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122605455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90447146,0.0015632268,0.041876137,0.006366506,0.0003182394,0.0002581306,0.0016884322,0.00020250551,0.043255307],"genre_scores_gemma":[0.99436706,0.00027736605,0.0027044674,0.0003724119,0.00014477104,0.000057745252,0.00044120767,0.000016764969,0.0016182985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99332535,0.0031737047,0.00047597376,0.0012717023,0.0011838983,0.00056928716],"domain_scores_gemma":[0.83315223,0.1434403,0.010124855,0.0061466657,0.004774827,0.002361246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016116116,0.00080330437,0.0012119112,0.001576495,0.0009236887,0.0028459774,0.004004557,0.0020757786,0.018904738],"category_scores_gemma":[0.08279449,0.00042591992,0.0011680317,0.0013491914,0.0022501585,0.0053371573,0.002320973,0.001946723,0.001467532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003945466,0.0022090771,0.21622832,0.0007752623,0.0012386721,0.002146227,0.0040013334,0.059898507,0.0012374121,0.54748243,0.023702959,0.13713433],"study_design_scores_gemma":[0.0018738642,0.00271656,0.17604472,0.00040381946,0.000862651,0.0011220846,0.0071239574,0.36716798,0.002455083,0.42352206,0.016408233,0.00029897707],"about_ca_topic_score_codex":0.0055961492,"about_ca_topic_score_gemma":0.0022928864,"teacher_disagreement_score":0.018904738,"about_ca_system_score_codex":0.0012638752,"about_ca_system_score_gemma":0.0012301913,"threshold_uncertainty_score":0.085231185},"labels":[],"label_agreement":null},{"id":"W3122616117","doi":"","title":"Measuring the Speed of Convergence of Stock Prices: A Nonparametric and Nonlinear Approach","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Portfolio; Nonparametric statistics; Stock (firearms); Economics; Empirical evidence; Long memory; Convergence (economics); Nonlinear system; Financial economics; Stock price; Macroeconomics; Series (stratigraphy); Geography","score_opus":0.11324207526630437,"score_gpt":0.2883404977519476,"score_spread":0.17509842248564322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122616117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79900485,0.00017849905,0.19843875,0.00013989108,0.000012732157,0.00004769719,0.0001226717,0.00010420091,0.001950738],"genre_scores_gemma":[0.9854775,0.00006930234,0.014006076,0.000012989055,0.000010929122,0.000020678723,0.00010572769,0.000013970431,0.0002828659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839216,0.00083851797,0.00011747956,0.00022585661,0.00033110715,0.000094901334],"domain_scores_gemma":[0.9698146,0.024056844,0.0027303658,0.0019911393,0.0011068168,0.00030020063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006390143,0.00043449877,0.00059402286,0.002499501,0.00027848195,0.001180123,0.0007061731,0.00082165323,0.0008618503],"category_scores_gemma":[0.05009859,0.0002836312,0.0005710993,0.0011523591,0.0010077822,0.0023872934,0.0014164242,0.0008831174,0.0001542489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007558906,0.00019060085,0.19069792,0.0001556124,0.00042174608,0.00031232362,0.000525051,0.69438463,0.0065518715,0.024615383,0.00034282517,0.081046134],"study_design_scores_gemma":[0.000012581638,0.00013047355,0.028877566,0.000013721706,0.000021105914,0.00012817101,0.00009486677,0.96051896,0.0012858396,0.008680891,0.00020161495,0.000034122997],"about_ca_topic_score_codex":0.00344329,"about_ca_topic_score_gemma":0.0019359584,"teacher_disagreement_score":0.006390143,"about_ca_system_score_codex":0.0005216654,"about_ca_system_score_gemma":0.0005680976,"threshold_uncertainty_score":0.0337947},"labels":[],"label_agreement":null},{"id":"W3122634903","doi":"10.1093/rfs/hhv045","title":"Trading Fast and Slow: Colocation and Liquidity","year":2015,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":239,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Queen (butterfly); Market liquidity; Library science; Management; Business; Economics; Finance; Computer science","score_opus":0.10617040604926198,"score_gpt":0.28472563165160886,"score_spread":0.17855522560234688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122634903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953915,0.00035292073,0.00092647114,0.00013548312,0.000016088274,0.000010157919,0.000066040404,0.00002350821,0.003077851],"genre_scores_gemma":[0.99902976,0.000093453054,0.00039596978,0.000019652669,0.0000103026205,0.0000029448447,0.00003971629,0.000006223051,0.00040199983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995433,0.00013047818,0.00002091846,0.000076446304,0.00013489863,0.000093922026],"domain_scores_gemma":[0.9960085,0.0017825101,0.0013141532,0.00018109854,0.00038682832,0.00032691105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009049799,0.00025683572,0.00026895117,0.00077801774,0.0003833519,0.0021021923,0.00045555725,0.00044868884,0.0031924995],"category_scores_gemma":[0.0047919257,0.00015532027,0.00022368984,0.0007507564,0.00051629933,0.0015659923,0.0009628825,0.0005805693,0.00034984943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050993985,0.00094484066,0.788225,0.0003346499,0.0003577937,0.0025651292,0.0012552489,0.033436477,0.032646153,0.008490427,0.0038074886,0.122837424],"study_design_scores_gemma":[0.000543987,0.0025737819,0.80346906,0.00013752427,0.0005503749,0.0017174779,0.0041012177,0.13865198,0.018425003,0.018327955,0.011289041,0.00021257659],"about_ca_topic_score_codex":0.0024644579,"about_ca_topic_score_gemma":0.002575896,"teacher_disagreement_score":0.0031924995,"about_ca_system_score_codex":0.00050435227,"about_ca_system_score_gemma":0.0002869167,"threshold_uncertainty_score":0.01068002},"labels":[],"label_agreement":null},{"id":"W3122635202","doi":"10.1287/mnsc.2022.4379","title":"Implied Volatility Changes and Corporate Bond Returns","year":2022,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Implied volatility; Corporate bond; Volatility swap; Volatility smile; Bond; Financial economics; Economics; Corporate finance; Monetary economics; Business; Finance","score_opus":0.049068930733092764,"score_gpt":0.21142783364703932,"score_spread":0.16235890291394656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122635202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99436647,0.00058878894,0.0011424557,0.00029684143,0.0000152372395,0.0000053041686,0.000645884,0.000018136754,0.0029207703],"genre_scores_gemma":[0.99871624,0.00014874952,0.00011941877,0.000013955285,0.0000142002955,0.000003162754,0.0004252462,0.0000039189786,0.0005551855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944896,0.00016152227,0.000053707754,0.00010867397,0.0001572805,0.000069817164],"domain_scores_gemma":[0.98749757,0.0055306517,0.005222917,0.00049907697,0.0006094779,0.000640398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011852911,0.00017942683,0.00022330841,0.00055382075,0.00011670224,0.0011675606,0.00023655967,0.00052366283,0.0037375127],"category_scores_gemma":[0.022316856,0.0001334718,0.00019486534,0.0009673366,0.0002154772,0.0010149566,0.00044714086,0.00087232224,0.0004200391],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087041524,0.00016489507,0.93342805,0.00005716028,0.00032075433,0.00033215302,0.00022752417,0.009368686,0.002562618,0.011927241,0.0016677892,0.039072715],"study_design_scores_gemma":[0.000020854442,0.00012249545,0.9711736,0.000020399382,0.00006723927,0.00029409293,0.00010371049,0.018874481,0.0007652578,0.0074815545,0.00105191,0.00002434892],"about_ca_topic_score_codex":0.0015922474,"about_ca_topic_score_gemma":0.0011997747,"teacher_disagreement_score":0.0037375127,"about_ca_system_score_codex":0.00033716005,"about_ca_system_score_gemma":0.0001431472,"threshold_uncertainty_score":0.012503207},"labels":[],"label_agreement":null},{"id":"W3122639528","doi":"10.2139/ssrn.1364696","title":"An Anatomy of Pairs Trading: The Role of Idiosyncratic News, Common Information and Liquidity","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Market liquidity; Stock (firearms); Divergence (linguistics); Price discovery; Financial economics; Margin (machine learning); Monetary economics; Economics; Business; Computer science","score_opus":0.008027444332938134,"score_gpt":0.20968649122352825,"score_spread":0.2016590468905901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122639528","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1429424,0.018206328,0.39667743,0.020288536,0.0006003054,0.00012002227,0.0004867275,0.00034971166,0.4203286],"genre_scores_gemma":[0.91921973,0.0058823265,0.05660834,0.0005727557,0.00056930026,0.00007096772,0.000118974334,0.000080894635,0.016876645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99940145,0.00030129496,0.000027038584,0.000107322,0.000112521615,0.000050381368],"domain_scores_gemma":[0.9975781,0.0017875339,0.0001356174,0.00027913722,0.00011937235,0.00010030068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008152545,0.00024926293,0.0003700074,0.0011153107,0.00064234535,0.004462095,0.0007990911,0.0014636138,0.008172424],"category_scores_gemma":[0.004229123,0.00035465302,0.00037920702,0.0012043759,0.0045032213,0.008891549,0.0012378161,0.0023335135,0.0008300838],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025676143,0.000010939483,0.0005789572,0.000025038382,0.0000065025406,0.000149101,0.00046893276,0.0007561583,0.00054580404,0.9789725,0.0010196709,0.017440688],"study_design_scores_gemma":[0.0000062757854,0.000012026942,0.0005763589,0.000019643981,0.000004409822,0.00026937044,0.00012843501,0.0035561565,0.00014700131,0.98954123,0.0057304553,0.000008580044],"about_ca_topic_score_codex":0.0008352979,"about_ca_topic_score_gemma":0.00069293287,"teacher_disagreement_score":0.008172424,"about_ca_system_score_codex":0.0006516004,"about_ca_system_score_gemma":0.0006446824,"threshold_uncertainty_score":0.027339458},"labels":[],"label_agreement":null},{"id":"W3122651913","doi":"10.2308/jfir-51332","title":"Do Analyst Forecasts Vary Too Much?","year":2015,"lang":"en","type":"article","venue":"Journal of Financial Reporting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Volatility (finance); Econometrics; Economics; Stock (firearms); Aggregate (composite); Variance (accounting); Financial economics; Stock market; Accounting; Geography","score_opus":0.1173172090925478,"score_gpt":0.2789819138513237,"score_spread":0.16166470475877592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122651913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819911,0.0015500057,0.004873374,0.0030909267,0.00013959088,0.0000144347505,0.0010078445,0.00007926539,0.0072535956],"genre_scores_gemma":[0.9992078,0.00013270706,0.0001606097,0.000093702656,0.00009598807,0.0000020531972,0.00017940767,0.0000065210165,0.00012114916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99598795,0.0010783948,0.0004976767,0.00075039093,0.0013529308,0.00033262404],"domain_scores_gemma":[0.8576886,0.073967166,0.05310331,0.006544334,0.007040554,0.0016559865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062253387,0.00019954373,0.00049522193,0.0015716478,0.0003539135,0.0025141696,0.000511063,0.00084122596,0.0016507305],"category_scores_gemma":[0.08073179,0.00023206425,0.0002257676,0.0021758387,0.0005001966,0.0022425053,0.0006683427,0.0009037697,0.00046520418],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024028399,0.000035981448,0.95432657,0.00004995234,0.00030364026,0.00024629245,0.0009808884,0.0036924975,0.00083621533,0.0029301434,0.0031609114,0.03319653],"study_design_scores_gemma":[0.000020244572,0.00010394555,0.958454,0.00008409921,0.00009897973,0.0006823925,0.0016609399,0.015067067,0.0014443797,0.016662287,0.005651638,0.00007006235],"about_ca_topic_score_codex":0.0026506947,"about_ca_topic_score_gemma":0.0027566117,"teacher_disagreement_score":0.0062253387,"about_ca_system_score_codex":0.0006696194,"about_ca_system_score_gemma":0.00040018206,"threshold_uncertainty_score":0.032923102},"labels":[],"label_agreement":null},{"id":"W3122674308","doi":"10.1093/rof/rfaa040","title":"Time-Varying Crash Risk Embedded in Index Options: The Role of Stock Market Liquidity","year":2020,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Bank of Canada; University of Toronto","funders":"","keywords":"Market liquidity; Stock market crash; Crash; Econometrics; Index (typography); Economics; Stock market; Stock market index; Market risk; Financial economics; Monetary economics; Computer science","score_opus":0.03178478690499113,"score_gpt":0.22319584513750146,"score_spread":0.1914110582325103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122674308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544814,0.0018120828,0.04112051,0.0007810103,0.0000362994,0.000023627412,0.00026511875,0.00005428076,0.0014255581],"genre_scores_gemma":[0.99720925,0.0004888194,0.0013698091,0.000026084701,0.000029211196,0.00000781339,0.00015726889,0.0000067205356,0.000704884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996395,0.00016149177,0.000026647833,0.00006170357,0.00004765046,0.00006292752],"domain_scores_gemma":[0.9934143,0.0045987205,0.0010392067,0.00023514435,0.00046596737,0.00024662947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002110518,0.00058087765,0.001002607,0.00087050966,0.000266944,0.0021978018,0.001084374,0.0012650226,0.0021638812],"category_scores_gemma":[0.010007195,0.00025906487,0.00078720826,0.0007622489,0.00064283225,0.0016407555,0.00079681916,0.0013439441,0.00017403049],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022176314,0.0002267326,0.1304734,0.00015325118,0.000489984,0.00072222686,0.00016078792,0.8249578,0.0024483632,0.02940916,0.0009589368,0.00977762],"study_design_scores_gemma":[0.00001384959,0.000083964725,0.010883952,0.000022144248,0.00009077445,0.00006946902,0.000068014866,0.9820968,0.00043720435,0.005964778,0.00024604486,0.000023093999],"about_ca_topic_score_codex":0.011805697,"about_ca_topic_score_gemma":0.0070256907,"teacher_disagreement_score":0.011805697,"about_ca_system_score_codex":0.000521143,"about_ca_system_score_gemma":0.0007874918,"threshold_uncertainty_score":0.023473918},"labels":[],"label_agreement":null},{"id":"W3122721082","doi":"10.1177/0148558x0602100405","title":"Institutional Holdings and Analysts' Stock Recommendations","year":2006,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Institutional investor; Business; Stock (firearms); Proxy (statistics); Monetary economics; Accounting; Financial economics; Finance; Economics; Corporate governance","score_opus":0.020729123105159925,"score_gpt":0.22125393922023923,"score_spread":0.2005248161150793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122721082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947567,0.00034264696,0.0004579062,0.00025345033,0.000007779255,0.000007795057,0.00022538859,0.000025777657,0.0039225616],"genre_scores_gemma":[0.999338,0.000078525736,0.00016888716,0.000013485722,0.000014327875,0.0000011123916,0.00008653407,0.000001394842,0.00029779316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988399,0.00029762654,0.00017395322,0.00013703719,0.0004239621,0.0001275078],"domain_scores_gemma":[0.92987233,0.018867554,0.044507027,0.002370075,0.0026242312,0.0017587483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002782101,0.00017114427,0.00019946726,0.0010129344,0.0002138596,0.0012537625,0.00027151834,0.00047013242,0.0040260213],"category_scores_gemma":[0.031255487,0.0001116533,0.00017524807,0.0010462477,0.000299124,0.001019228,0.00039372608,0.00036501297,0.0005219705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012936354,0.00008597416,0.96929413,0.000028998727,0.00016935058,0.00007753116,0.00018121232,0.0015998599,0.00081582693,0.00033824486,0.0005179639,0.026761452],"study_design_scores_gemma":[0.000015537336,0.00014843055,0.9930218,0.00001894933,0.00006927834,0.00014551383,0.00032756073,0.003753997,0.0010362784,0.0006150278,0.00083049026,0.000017021517],"about_ca_topic_score_codex":0.0036736398,"about_ca_topic_score_gemma":0.0070375567,"teacher_disagreement_score":0.0040260213,"about_ca_system_score_codex":0.00046899193,"about_ca_system_score_gemma":0.00028296272,"threshold_uncertainty_score":0.014713347},"labels":[],"label_agreement":null},{"id":"W3122723824","doi":"10.1111/1911-3846.12048","title":"Financial Reporting Opacity and Expected Crash Risk: Evidence from Implied Volatility Smirks","year":2013,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":479,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Crash; Stock market crash; Business; Accrual; Stock market; Economics; Monetary economics; Finance; Earnings","score_opus":0.16343569848096948,"score_gpt":0.3182160427387754,"score_spread":0.15478034425780593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122723824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754375,0.0005422307,0.00027707353,0.00031142912,0.000010131341,0.000008149648,0.00016024808,0.000007072513,0.0011398081],"genre_scores_gemma":[0.99941444,0.0002239375,0.000054567467,0.000033499116,0.000024669693,0.0000022374768,0.00012056238,0.0000021894532,0.00012395991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978605,0.00087906304,0.00030236403,0.00021590258,0.0005518394,0.00019032777],"domain_scores_gemma":[0.8242428,0.07060685,0.08816409,0.007431776,0.0048820185,0.004672461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053420374,0.00037387706,0.0004139259,0.0016052382,0.0003808429,0.0017002505,0.00075562234,0.0007311385,0.0043822015],"category_scores_gemma":[0.07602311,0.00028995483,0.000676751,0.0013147146,0.0010203001,0.0016096882,0.001389024,0.0016231788,0.0004552829],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003578741,0.00015208214,0.99455243,0.00001984591,0.00015278878,0.00007729656,0.00026060414,0.00017852634,0.00007908147,0.00025593434,0.00016552673,0.003748141],"study_design_scores_gemma":[0.000014939161,0.00013970234,0.9972697,0.000021914919,0.000095983145,0.00014539038,0.00025783587,0.0011239963,0.00011805351,0.0005950081,0.00020486227,0.000012612145],"about_ca_topic_score_codex":0.0036892213,"about_ca_topic_score_gemma":0.0023331172,"teacher_disagreement_score":0.0053420374,"about_ca_system_score_codex":0.0002627461,"about_ca_system_score_gemma":0.00030609974,"threshold_uncertainty_score":0.028251708},"labels":[],"label_agreement":null},{"id":"W3122734182","doi":"","title":"Price Aggressiveness and Quantity: How are They Determined in a Limit Order Market?","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Bank of Canada","funders":"","keywords":"Ordered probit; Order (exchange); Limit (mathematics); Economics; Competition (biology); Econometrics; Probit model; Market price; Microeconomics; Mathematics","score_opus":0.015832985110688137,"score_gpt":0.20650772629616634,"score_spread":0.1906747411854782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122734182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9634212,0.00041487804,0.021787187,0.0013179712,0.000024382385,0.00009453636,0.00010217783,0.00007825674,0.0127593065],"genre_scores_gemma":[0.99645823,0.00009970883,0.0018220672,0.00009693491,0.00004264528,0.000025444366,0.00004832841,0.000018709969,0.0013879071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958182,0.0014740005,0.000330052,0.0006542275,0.0011203712,0.0006031929],"domain_scores_gemma":[0.91792125,0.041304313,0.029701443,0.0027241413,0.0028607233,0.0054881065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072313016,0.00059888366,0.0019638266,0.0013740531,0.00085383374,0.007753508,0.0012599785,0.0023234,0.0071360525],"category_scores_gemma":[0.06146581,0.0011708512,0.0007408603,0.0011534288,0.0037102816,0.013110779,0.0019700779,0.0026847494,0.00096121884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003391097,0.0021506615,0.53173935,0.00045596657,0.0010261749,0.003185038,0.0035864275,0.10211193,0.02184389,0.25468606,0.0026168693,0.073206566],"study_design_scores_gemma":[0.00050883554,0.0012265007,0.3519588,0.00007730712,0.0002621984,0.001108067,0.0018669488,0.23662794,0.0030873858,0.4007101,0.002220583,0.00034524247],"about_ca_topic_score_codex":0.0022673479,"about_ca_topic_score_gemma":0.001573943,"teacher_disagreement_score":0.007753508,"about_ca_system_score_codex":0.0014121877,"about_ca_system_score_gemma":0.0009902503,"threshold_uncertainty_score":0.038243175},"labels":[],"label_agreement":null},{"id":"W3122743867","doi":"10.1016/j.jbef.2016.03.005","title":"Timing the stock market: Does it really make no sense?","year":2016,"lang":"en","type":"article","venue":"Journal of Behavioral and Experimental Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Sense (electronics); Stock market; Economics; Financial economics; Business; History; Engineering","score_opus":0.0393622986813928,"score_gpt":0.26547910271622105,"score_spread":0.22611680403482826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122743867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47985488,0.05704133,0.06320322,0.28729576,0.028946677,0.00026810658,0.0020612688,0.00087055785,0.080458194],"genre_scores_gemma":[0.9503167,0.011060507,0.010611951,0.018020589,0.00538131,0.000055543125,0.00022715137,0.00024996043,0.0040761554],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99750984,0.001168988,0.00022221573,0.00038258077,0.0005920273,0.00012429703],"domain_scores_gemma":[0.96640366,0.021123186,0.005999197,0.002411021,0.0022610945,0.0018018303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010745017,0.0006337723,0.0012095021,0.0008515372,0.00051400746,0.0044528483,0.001459765,0.003439326,0.009493305],"category_scores_gemma":[0.07766792,0.0005279771,0.0005989219,0.00076816115,0.002297268,0.010551873,0.0010457804,0.0035388512,0.0016075118],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0068363505,0.0016799931,0.11070587,0.0017712936,0.0017579668,0.00057624583,0.0013969028,0.005255011,0.006883362,0.3045861,0.04871614,0.5098347],"study_design_scores_gemma":[0.0012005924,0.0017068301,0.07419221,0.0010033195,0.0011446478,0.0009375734,0.001605396,0.014032378,0.0034880668,0.85590684,0.044544533,0.00023755332],"about_ca_topic_score_codex":0.0014718904,"about_ca_topic_score_gemma":0.0013142532,"teacher_disagreement_score":0.010745017,"about_ca_system_score_codex":0.0007467395,"about_ca_system_score_gemma":0.0017625475,"threshold_uncertainty_score":0.056825757},"labels":[],"label_agreement":null},{"id":"W3122746899","doi":"10.1016/j.finmar.2020.100601","title":"Do speed bumps curb low-latency investment? Evidence from a laboratory market","year":2020,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Latency (audio); Investment (military); High-frequency trading; Low latency (capital markets); Algorithmic trading; Return on investment; Business; Monetary economics; Computer science; Economics; Telecommunications; Finance; Microeconomics","score_opus":0.03726461604341617,"score_gpt":0.22418682075158103,"score_spread":0.18692220470816487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122746899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683677,0.0018979696,0.0010526633,0.0059025106,0.00018085017,0.000064431675,0.0002444321,0.00010163029,0.022187827],"genre_scores_gemma":[0.9959,0.00051679334,0.00022952237,0.0008320062,0.00011496323,0.000019508769,0.00010247651,0.000026938253,0.002257968],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99937516,0.00025492546,0.000028424576,0.000084191284,0.00012544644,0.0001318199],"domain_scores_gemma":[0.9621074,0.022692721,0.009834522,0.0024644148,0.0010324488,0.0018685126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033034286,0.00037925402,0.00048902316,0.00044428973,0.000705414,0.002358939,0.0012356638,0.0024412225,0.0254701],"category_scores_gemma":[0.029404,0.0003739405,0.00039170723,0.00037136508,0.0018502058,0.0035341913,0.0009756632,0.0019633577,0.0024891566],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.05569031,0.033728804,0.26569635,0.0018031033,0.0014859643,0.0032255459,0.0036186033,0.01623091,0.021653216,0.22321597,0.09944792,0.27420333],"study_design_scores_gemma":[0.02840363,0.021751717,0.47780138,0.0005499981,0.002041172,0.0015204215,0.008483276,0.051405765,0.020515677,0.2892089,0.09779815,0.0005199317],"about_ca_topic_score_codex":0.0038643419,"about_ca_topic_score_gemma":0.0032205107,"teacher_disagreement_score":0.0254701,"about_ca_system_score_codex":0.00079041376,"about_ca_system_score_gemma":0.00078204245,"threshold_uncertainty_score":0.08520597},"labels":[],"label_agreement":null},{"id":"W3122803368","doi":"10.1177/0148558x18782366","title":"Option Backdating Announcements and Information Advantage of Institutional Investors","year":2018,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Hong Kong University of Science and Technology; Tsinghua University; University of Hong Kong; Social Sciences and Humanities Research Council of Canada; University of Alberta; City University of Hong Kong","keywords":"Business; Earnings; Database transaction; Private information retrieval; Institutional investor; Finance; Stock (firearms); Accounting; Monetary economics; Economics; Database; Corporate governance","score_opus":0.01691985269703078,"score_gpt":0.21869092519728672,"score_spread":0.20177107250025594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122803368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988422,0.000105149185,0.00022491999,0.00003648043,0.0000017195928,0.0000039607685,0.00016260591,0.0000044207563,0.0006186111],"genre_scores_gemma":[0.99956006,0.00004455781,0.000121774974,0.0000062675563,0.000007615379,0.000001233975,0.00018456164,0.00000101833,0.00007297859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988834,0.00035331107,0.0001911577,0.00015794298,0.00025172633,0.00016245992],"domain_scores_gemma":[0.9337258,0.02263087,0.038247533,0.0029893029,0.0012530911,0.0011535333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022781098,0.00017357162,0.00034383062,0.0015877851,0.00026108054,0.0015258663,0.00025588318,0.00052911974,0.0015162901],"category_scores_gemma":[0.020390939,0.00014098536,0.00025425773,0.0014867244,0.00035261238,0.0013551171,0.0006992205,0.00047770128,0.00021245684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053203676,0.00013051688,0.98493505,0.000017510327,0.00010059004,0.00017076284,0.00017299634,0.0006282128,0.0010831024,0.000541631,0.00013949211,0.011548162],"study_design_scores_gemma":[0.000025446545,0.0002182454,0.9923602,0.000013542671,0.00010093293,0.00034593092,0.00027024993,0.0031139636,0.0023082274,0.0006947856,0.0005297957,0.000018795467],"about_ca_topic_score_codex":0.0017657334,"about_ca_topic_score_gemma":0.0024810312,"teacher_disagreement_score":0.0022781098,"about_ca_system_score_codex":0.0003552613,"about_ca_system_score_gemma":0.00021981711,"threshold_uncertainty_score":0.012047887},"labels":[],"label_agreement":null},{"id":"W3122809672","doi":"10.7202/1091736ar","title":"Cross Hedging with Single Stock Futures","year":2007,"lang":"en","type":"article","venue":"Assurances et gestion des risques","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Futures contract; Portfolio; Hedge; Market neutral; Econometrics; Stock (firearms); Stock exchange; Actuarial science; Financial economics; Economics; Business; Finance; Engineering","score_opus":0.048598502216312546,"score_gpt":0.265815618697069,"score_spread":0.21721711648075645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122809672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9721329,0.00031009255,0.026658535,0.000020590365,0.000010565386,0.000014244423,0.00003469361,0.00006322073,0.0007551576],"genre_scores_gemma":[0.99025214,0.00006304144,0.009318627,0.0000063820416,0.000007079559,0.000004205443,0.000053071584,0.000006937479,0.00028859297],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888843,0.0003504009,0.000111617825,0.00018782886,0.00038857502,0.0000732108],"domain_scores_gemma":[0.99315155,0.004423907,0.00090426987,0.0009993188,0.00037761152,0.00014334833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004071781,0.0004288927,0.00059567526,0.0010485926,0.0001887269,0.00065916154,0.00048652102,0.00045385514,0.0011727967],"category_scores_gemma":[0.011250341,0.000201713,0.00058139773,0.00073950493,0.0002538423,0.0013699718,0.00067934906,0.0002961606,0.000118670236],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029474336,0.0006583745,0.17269757,0.00019348886,0.00091617886,0.0005757953,0.0003531352,0.35141093,0.03170528,0.0054691243,0.00040588132,0.4326669],"study_design_scores_gemma":[0.00006700929,0.0016665525,0.067611784,0.000018523298,0.00016373316,0.0006523408,0.00008430013,0.8936759,0.03273179,0.002611402,0.0006670461,0.00004950336],"about_ca_topic_score_codex":0.0007009352,"about_ca_topic_score_gemma":0.00056763267,"teacher_disagreement_score":0.004071781,"about_ca_system_score_codex":0.00028324669,"about_ca_system_score_gemma":0.00019638553,"threshold_uncertainty_score":0.021533906},"labels":[],"label_agreement":null},{"id":"W3122814088","doi":"","title":"Option-Based Estimation of the Price of Co-Skewness and Co-Kurtosis Risk","year":2015,"lang":"en","type":"article","venue":"CREATES Research Papers","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; University of Toronto","funders":"","keywords":"Kurtosis; Skewness; Econometrics; Economics; Market risk; Moment (physics); Financial economics; Mathematics; Statistics; Physics","score_opus":0.08616712072425421,"score_gpt":0.31665467510010115,"score_spread":0.23048755437584695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122814088","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3383366,0.0005339963,0.65710723,0.0003006448,0.0000375519,0.000050706647,0.00021308307,0.00025169487,0.003168607],"genre_scores_gemma":[0.9547453,0.0002590632,0.04353121,0.000032181295,0.00003890819,0.00003367984,0.00024303871,0.000051034953,0.0010656153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894303,0.00054517156,0.00006131098,0.00012452359,0.00024502721,0.00008083971],"domain_scores_gemma":[0.98778605,0.009308803,0.0012365006,0.0006748701,0.00073852105,0.00025517214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040315147,0.0008453577,0.001137092,0.0014017412,0.00028979202,0.0019463643,0.0015930178,0.0011484972,0.0027171876],"category_scores_gemma":[0.026524307,0.00048519537,0.0009783724,0.0015342613,0.00079146476,0.003150073,0.0012532914,0.0017457902,0.00031773592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015063972,0.00008447786,0.013892698,0.00009379221,0.00022365424,0.00035004618,0.00012383157,0.8843383,0.0018574188,0.07107631,0.00065618195,0.027152512],"study_design_scores_gemma":[0.0000040091227,0.000010497879,0.0010745641,0.0000052262,0.000007739144,0.00002805084,0.000006290356,0.9900506,0.00024506857,0.008479584,0.000074884316,0.000013489264],"about_ca_topic_score_codex":0.0048054475,"about_ca_topic_score_gemma":0.0032094168,"teacher_disagreement_score":0.0048054475,"about_ca_system_score_codex":0.00080839323,"about_ca_system_score_gemma":0.0008724474,"threshold_uncertainty_score":0.021320939},"labels":[],"label_agreement":null},{"id":"W3122820166","doi":"10.3386/w22161","title":"Coordinated Noise Trading: Evidence from Pension Fund Reallocations","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Notre Dame","keywords":"Pension fund; Business; Pension; Noise (video); Economics; Financial economics; Monetary economics; Finance; Computer science; Artificial intelligence","score_opus":0.5800468466859025,"score_gpt":0.4777417651608694,"score_spread":0.10230508152503304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122820166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99296427,0.00031621766,0.0006961013,0.0005109962,0.000012281639,0.00001642124,0.0002937578,0.000021213504,0.005168774],"genre_scores_gemma":[0.9989537,0.00015108395,0.00012631736,0.00005493749,0.000021582551,0.0000064263572,0.00016256544,0.000004063242,0.00051933475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939775,0.0001519676,0.000043944292,0.00011477211,0.0001796135,0.00011185615],"domain_scores_gemma":[0.99073595,0.0028007687,0.004661597,0.00083628454,0.00049042195,0.00047500065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010924694,0.0001728858,0.00027079912,0.0009506435,0.0005211187,0.0016617617,0.00047109197,0.00093181303,0.0026549324],"category_scores_gemma":[0.01204611,0.00016603657,0.00016181759,0.0008425933,0.00076379726,0.0011490362,0.0014371243,0.0006905447,0.0003915318],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017158105,0.00075043825,0.90377176,0.00015929902,0.0003624877,0.0016324045,0.0032812012,0.0052709896,0.0053511756,0.007763982,0.005334242,0.06460622],"study_design_scores_gemma":[0.00019840802,0.00037537536,0.9650676,0.000090201924,0.00017679586,0.00050330703,0.0039440426,0.010319436,0.0037412504,0.007773935,0.007747347,0.00006226221],"about_ca_topic_score_codex":0.00969374,"about_ca_topic_score_gemma":0.008320522,"teacher_disagreement_score":0.00969374,"about_ca_system_score_codex":0.00055421464,"about_ca_system_score_gemma":0.00037670467,"threshold_uncertainty_score":0.019274652},"labels":[],"label_agreement":null},{"id":"W3122827249","doi":"10.2139/ssrn.3625803","title":"Distracted Analysts: Evidence from Climatic Disasters","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Salience (neuroscience); Earnings; Spillover effect; Affect (linguistics); Intermediary; Business; Climate change; Economics; Finance; Psychology","score_opus":0.0382521974426702,"score_gpt":0.22360589093252417,"score_spread":0.18535369348985398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122827249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989298,0.0007365919,0.00011108239,0.0035711518,0.000046245128,0.00001022013,0.00046838002,0.0000068921368,0.0057514696],"genre_scores_gemma":[0.9978746,0.0007606839,0.000025218187,0.00041234205,0.00007095775,0.000007151056,0.00034785588,0.000006078256,0.0004950731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986702,0.00042886447,0.00008481092,0.00013744291,0.0004031432,0.00027556182],"domain_scores_gemma":[0.9073131,0.034083426,0.04617554,0.0029962366,0.0054737465,0.003957881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001954637,0.0002578493,0.00023097356,0.0017655813,0.0010053172,0.0026693742,0.00095152477,0.0023342308,0.004640925],"category_scores_gemma":[0.038465936,0.00024963944,0.00017293924,0.002944485,0.0020220533,0.0020325487,0.0016103121,0.002368019,0.00084147725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002041714,0.00076153496,0.9424622,0.0001841236,0.0002977475,0.001725031,0.014787229,0.001624697,0.0006531547,0.0033471195,0.013519511,0.018595973],"study_design_scores_gemma":[0.00014830897,0.00025851562,0.9481426,0.00014607148,0.000117154574,0.00046888404,0.033192053,0.0012789026,0.00074381556,0.0034446716,0.012008228,0.00005071876],"about_ca_topic_score_codex":0.01996089,"about_ca_topic_score_gemma":0.020455083,"teacher_disagreement_score":0.01996089,"about_ca_system_score_codex":0.0008349391,"about_ca_system_score_gemma":0.00078261533,"threshold_uncertainty_score":0.039689362},"labels":[],"label_agreement":null},{"id":"W3122828787","doi":"","title":"The Impact of Expertise and Investment Familiarity on Investors' Use of Online Financial Report Information","year":2006,"lang":"en","type":"article","venue":"Research portal (Tilburg University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Quarter (Canadian coin); Business; Investment decisions; Finance; Accounting; Actuarial science; Behavioral economics; Political science","score_opus":0.06808379141358253,"score_gpt":0.2752380382011317,"score_spread":0.20715424678754915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122828787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99722064,0.00009625764,0.000330677,0.00014852632,0.0000047889866,0.00001336101,0.000104724306,0.000009642848,0.002071305],"genre_scores_gemma":[0.9990087,0.00007192439,0.00032267926,0.000042017833,0.000018959485,0.000010300027,0.00016239156,0.000005381889,0.00035769097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994136,0.003089582,0.0007345038,0.0005005013,0.0011443355,0.0003950844],"domain_scores_gemma":[0.7015626,0.24625199,0.038438898,0.0058639324,0.003803439,0.004079117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076267333,0.00022057419,0.00041264034,0.0013316027,0.00033296438,0.0022572759,0.0003916798,0.0006909769,0.0059902878],"category_scores_gemma":[0.09494696,0.0002148271,0.00032766676,0.00083303225,0.0004878348,0.0023830237,0.00092314096,0.00077219453,0.0006149673],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061079307,0.0005630899,0.9718858,0.00005198042,0.000104988816,0.00016405818,0.00076949084,0.00041014332,0.0012266567,0.00016778558,0.00023119702,0.023813892],"study_design_scores_gemma":[0.00004694413,0.0005145111,0.992863,0.000022135853,0.00007038001,0.0003775466,0.0016052396,0.0023747175,0.0010744127,0.00038125057,0.00063825055,0.00003150478],"about_ca_topic_score_codex":0.0011660174,"about_ca_topic_score_gemma":0.0016977077,"teacher_disagreement_score":0.0076267333,"about_ca_system_score_codex":0.00036570994,"about_ca_system_score_gemma":0.0002364492,"threshold_uncertainty_score":0.040334463},"labels":[],"label_agreement":null},{"id":"W3122841592","doi":"","title":"Stochastic Dominance and Optimal Portfolio","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Stochastic dominance; Portfolio; Economics; Dominance (genetics); Econometrics; Constant (computer programming); Risk aversion (psychology); Distribution (mathematics); Financial economics; Mathematics; Expected utility hypothesis; Computer science; Biology","score_opus":0.04160989363877868,"score_gpt":0.28022423765800714,"score_spread":0.23861434401922846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122841592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54366815,0.0024791842,0.40436676,0.0019377947,0.00013353478,0.00006915244,0.000119302524,0.00017070939,0.047055352],"genre_scores_gemma":[0.9840577,0.00053903065,0.010548354,0.00014324972,0.00006954773,0.000031997795,0.00005081451,0.000033633587,0.004525594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985839,0.0006437219,0.000036860074,0.00011527174,0.00031954554,0.00030075322],"domain_scores_gemma":[0.9964018,0.0020787937,0.0004631279,0.00023444094,0.00041141667,0.00041045103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023176705,0.0007086965,0.00086832634,0.00057406945,0.0005289029,0.0015250071,0.00055580906,0.0006951118,0.003219961],"category_scores_gemma":[0.010112239,0.0002826117,0.0005362255,0.00048584328,0.0013017074,0.0016160081,0.0012132019,0.0006773892,0.00029307036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015345761,0.0001338734,0.0013172539,0.00010750651,0.00009875273,0.00027874988,0.00014087907,0.38661787,0.0054149614,0.5707451,0.0029263392,0.03206529],"study_design_scores_gemma":[0.000048797938,0.00009000257,0.0008413219,0.00001324397,0.00001500186,0.00009875134,0.000039312577,0.44489232,0.0007348554,0.55177957,0.0014291639,0.000017734765],"about_ca_topic_score_codex":0.0018028154,"about_ca_topic_score_gemma":0.0010707934,"teacher_disagreement_score":0.003219961,"about_ca_system_score_codex":0.0013381202,"about_ca_system_score_gemma":0.00091682764,"threshold_uncertainty_score":0.012257159},"labels":[],"label_agreement":null},{"id":"W3122842425","doi":"10.1016/j.econlet.2010.11.004","title":"On the estimation of asset pricing models using univariate betas","year":2010,"lang":"en","type":"article","venue":"Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Univariate; Econometrics; Capital asset pricing model; Standard error; Economics; Risk premium; Regression; Statistics; Mathematics; Multivariate statistics","score_opus":0.038080317144720086,"score_gpt":0.2060850749457641,"score_spread":0.168004757801044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122842425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020333411,0.0011439743,0.9765211,0.0005142006,0.00006122222,0.000017216675,0.000072023155,0.0003279309,0.0010089208],"genre_scores_gemma":[0.59457946,0.0074950857,0.39010796,0.0003409922,0.000983675,0.00025882284,0.0008075173,0.0004472207,0.0049793753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967249,0.0025548828,0.0001303112,0.00016724998,0.0003045699,0.00011811501],"domain_scores_gemma":[0.95619786,0.04087732,0.0007239816,0.001211967,0.00075325946,0.00023572776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008738649,0.0013380833,0.0023483157,0.0014827049,0.00054033723,0.0023761187,0.0017040386,0.0017698809,0.002345066],"category_scores_gemma":[0.047044087,0.001622383,0.0015693189,0.0017278206,0.0012700629,0.0030789387,0.0021912751,0.0028129017,0.0006668939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013132258,0.00008655961,0.002093982,0.0001004495,0.000159026,0.00009393377,0.00009036176,0.87950253,0.00062322145,0.033254944,0.0012328458,0.08263089],"study_design_scores_gemma":[0.000010544109,0.000010766571,0.00023416665,0.000010860922,0.000010163512,0.000011477066,0.0000058279766,0.9828141,0.00011563448,0.016546274,0.00022090084,0.000009342908],"about_ca_topic_score_codex":0.011212547,"about_ca_topic_score_gemma":0.0064165522,"teacher_disagreement_score":0.011212547,"about_ca_system_score_codex":0.0006828389,"about_ca_system_score_gemma":0.0012009455,"threshold_uncertainty_score":0.04621494},"labels":[],"label_agreement":null},{"id":"W3122845994","doi":"10.1016/j.jbankfin.2018.06.009","title":"Distilling liquidity costs from limit order books","year":2018,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Wilfrid Laurier University","funders":"","keywords":"Market liquidity; Ex-ante; Volatility (finance); Order (exchange); Economics; Order book; Dark liquidity; Algorithmic trading; Price discovery; High-frequency trading; Financial economics; Econometrics; Limit (mathematics); Monetary economics; Finance; Macroeconomics","score_opus":0.03372659583060057,"score_gpt":0.22709391449082927,"score_spread":0.19336731866022872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122845994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.765513,0.0016652753,0.19522579,0.0027453457,0.0001423553,0.000064038504,0.0008084906,0.00045258502,0.033383004],"genre_scores_gemma":[0.990058,0.00023355785,0.006376813,0.00004988836,0.00006162788,0.000016147627,0.00016127092,0.0000492827,0.002993436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999485,0.00016814057,0.00003234758,0.00006635463,0.00017383198,0.00007432161],"domain_scores_gemma":[0.9628158,0.031226432,0.0028262031,0.001215598,0.001226404,0.0006894533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014771585,0.0005051863,0.0007424591,0.0024453239,0.00042971797,0.0031759616,0.00093162624,0.0011356123,0.0085461],"category_scores_gemma":[0.042158354,0.0006178613,0.00030931705,0.0016430496,0.0010322876,0.0060624303,0.0012524137,0.0019129652,0.00040912436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009461329,0.00030688738,0.031334512,0.000284407,0.000113737464,0.0005090452,0.00045498804,0.45276564,0.00095166115,0.40450037,0.006237853,0.10159476],"study_design_scores_gemma":[0.00003355846,0.000055133867,0.004805405,0.00004603015,0.000045611396,0.000086234955,0.00014693645,0.7774812,0.00070577004,0.21514927,0.0014098792,0.000034999397],"about_ca_topic_score_codex":0.0045851,"about_ca_topic_score_gemma":0.0051656943,"teacher_disagreement_score":0.0085461,"about_ca_system_score_codex":0.00140725,"about_ca_system_score_gemma":0.00095848035,"threshold_uncertainty_score":0.028589606},"labels":[],"label_agreement":null},{"id":"W3122854982","doi":"","title":"Is Investor Rationality Time Varying? Evidence from the Mutual Fund Industry","year":2009,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Predictability; Institutional investor; Closed-end fund; Business; Transaction cost; Monetary economics; Market timing; Mutual fund; Economics; Sample (material); Capital (architecture); Financial economics; Finance; Corporate governance; Market liquidity","score_opus":0.11701339486859426,"score_gpt":0.3140305568946405,"score_spread":0.19701716202604624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122854982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850772,0.0017718193,0.0010065475,0.002135815,0.000009338345,0.000011179659,0.00032134715,0.000012553432,0.009654239],"genre_scores_gemma":[0.9985902,0.00048314198,0.00014140067,0.00013406879,0.000020921503,0.0000042789925,0.00013810841,0.0000035392384,0.00048430174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986357,0.0003528743,0.00012971186,0.00028610008,0.00034918386,0.0002463725],"domain_scores_gemma":[0.9272221,0.03361527,0.031688083,0.0045394315,0.0018300669,0.0011050234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003337819,0.00012082211,0.00033525613,0.0008371446,0.00033956458,0.0017183144,0.0005752027,0.0008673771,0.0052054725],"category_scores_gemma":[0.03067948,0.00022329265,0.0003088335,0.0012124458,0.0012940962,0.0015881078,0.0010087203,0.00088337867,0.00052027917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014216211,0.00018266172,0.9129035,0.00017142258,0.00036865516,0.00066914136,0.0027444018,0.00190235,0.0016563841,0.01159713,0.0019146465,0.06446807],"study_design_scores_gemma":[0.00006444596,0.00008361054,0.98454857,0.000045911678,0.00013829382,0.00022195329,0.00094296824,0.0018338996,0.00067496835,0.0072493795,0.004166444,0.00002965047],"about_ca_topic_score_codex":0.00833272,"about_ca_topic_score_gemma":0.008657554,"teacher_disagreement_score":0.00833272,"about_ca_system_score_codex":0.00066623604,"about_ca_system_score_gemma":0.00042229463,"threshold_uncertainty_score":0.017652273},"labels":[],"label_agreement":null},{"id":"W3122864594","doi":"10.1017/s0022109010000207","title":"Dynamic Factors and Asset Pricing","year":2010,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Capital asset pricing model; Econometrics; Consumption-based capital asset pricing model; Economics; Portfolio; Ex-ante; Predictive power; Arbitrage pricing theory; Explanatory power; Asset (computer security); Investment theory; Stochastic discount factor; Factor analysis; Dynamic factor; Financial economics; Computer science","score_opus":0.025516994599402244,"score_gpt":0.2559849366117298,"score_spread":0.23046794201232754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122864594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1955142,0.0037667053,0.77125096,0.0034413517,0.00026920764,0.000059550257,0.00048995967,0.00028054538,0.024927558],"genre_scores_gemma":[0.97613746,0.0015521806,0.015891245,0.00010518607,0.00016394356,0.0000251625,0.00016635482,0.000036592304,0.0059218085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995326,0.00016905332,0.000021009962,0.00011680291,0.00009680541,0.00006391067],"domain_scores_gemma":[0.997895,0.0014453433,0.00030829624,0.00011482106,0.00017102905,0.000065370936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014594787,0.00059719646,0.00060780765,0.0007399547,0.00025568664,0.0019724362,0.00061724155,0.0011320049,0.0039972337],"category_scores_gemma":[0.008353578,0.00040337615,0.000737242,0.0008548077,0.0010688977,0.0026780523,0.0006752869,0.001339348,0.00044861226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003612844,0.00005115238,0.01341573,0.000058589307,0.00010744841,0.00023446252,0.00015368935,0.38112944,0.0007779634,0.5727496,0.0017986296,0.029487176],"study_design_scores_gemma":[0.000013909533,0.000037576734,0.0046776976,0.000028380045,0.000029229925,0.00012637176,0.00003584072,0.6545911,0.00017693789,0.3360421,0.004207837,0.000033025266],"about_ca_topic_score_codex":0.009234727,"about_ca_topic_score_gemma":0.003604103,"teacher_disagreement_score":0.009234727,"about_ca_system_score_codex":0.001118492,"about_ca_system_score_gemma":0.00089831586,"threshold_uncertainty_score":0.018361926},"labels":[],"label_agreement":null},{"id":"W3122867901","doi":"","title":"Residual Income Approach to Equity Country Selection","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre de Développement du Porc du Québec; Université du Québec à Montréal","funders":"","keywords":"Transaction cost; Economics; Econometrics; Predictive power; Equity (law); Residual; Ranking (information retrieval); Stock market; Stock (firearms); Financial economics; Mathematics; Finance; Geography; Computer science","score_opus":0.022126184644232858,"score_gpt":0.2439397702892864,"score_spread":0.22181358564505355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122867901","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3315076,0.00078546046,0.65084624,0.0010468861,0.00019652689,0.00059610023,0.004123382,0.0014368366,0.009460954],"genre_scores_gemma":[0.9539607,0.00027620906,0.03178555,0.00017015173,0.00015320249,0.00030776078,0.003553086,0.00017947076,0.009613894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9925909,0.005175562,0.000170953,0.0009832039,0.0004669997,0.00061236916],"domain_scores_gemma":[0.97365415,0.019980168,0.0022367681,0.0026516633,0.0010326373,0.0004446171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018304866,0.0009966756,0.0014726557,0.0026958082,0.00045047913,0.0021084473,0.0023300503,0.0009278105,0.012481575],"category_scores_gemma":[0.033858165,0.0003436132,0.0019242218,0.0022515547,0.0011681825,0.0016427665,0.0015675492,0.0018478499,0.0023889951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011479311,0.00036488692,0.44565326,0.00017065898,0.0025945976,0.0019112657,0.0006477309,0.24125828,0.00056128274,0.13294084,0.016185008,0.15656428],"study_design_scores_gemma":[0.00015043643,0.00057107914,0.043577954,0.00006556649,0.00030231744,0.00038635734,0.00037910513,0.8802372,0.0007711624,0.06460471,0.008874337,0.00007972234],"about_ca_topic_score_codex":0.010493893,"about_ca_topic_score_gemma":0.0037105777,"teacher_disagreement_score":0.018304866,"about_ca_system_score_codex":0.0005756368,"about_ca_system_score_gemma":0.0010923987,"threshold_uncertainty_score":0.096806586},"labels":[],"label_agreement":null},{"id":"W3122885639","doi":"10.2139/ssrn.1927944","title":"Do Jumps Contribute to the Dynamics of the Equity Premium?","year":2011,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; University of Toronto; McMaster University","funders":"","keywords":"Economics; Econometrics; Skewness; Jump; Value premium; Risk premium; Equity premium puzzle; Portfolio; Equity (law); Financial economics; Capital asset pricing model","score_opus":0.028224192977473146,"score_gpt":0.23764865407521069,"score_spread":0.20942446109773755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122885639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9489016,0.0028399958,0.02652551,0.0097976765,0.0002234584,0.000019478131,0.00032879066,0.0003020694,0.011061439],"genre_scores_gemma":[0.9949962,0.0008753694,0.00056713383,0.0001527296,0.00020419789,0.000005426759,0.00005258233,0.00004313079,0.00310313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997644,0.00004173241,0.000010022371,0.000057469308,0.000033908087,0.000092394315],"domain_scores_gemma":[0.9903842,0.0060131615,0.0017179629,0.00040664588,0.00034365355,0.0011343656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015460933,0.00038529257,0.00094458484,0.0011332721,0.00067240925,0.003451789,0.0014057284,0.0028802333,0.012871566],"category_scores_gemma":[0.016799275,0.0008451613,0.0005808654,0.0007018426,0.0015309791,0.0055634603,0.0011918797,0.0033163922,0.0010610179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010458055,0.00047183794,0.09023727,0.00040006996,0.0003103543,0.002556317,0.0013445477,0.06767359,0.019083865,0.7415943,0.012136307,0.063145794],"study_design_scores_gemma":[0.0001667845,0.00012331082,0.05132589,0.00006941985,0.00013278237,0.0005312227,0.0004526018,0.41467628,0.0015984253,0.52849334,0.0022825717,0.00014740342],"about_ca_topic_score_codex":0.0029663804,"about_ca_topic_score_gemma":0.0019227858,"teacher_disagreement_score":0.012871566,"about_ca_system_score_codex":0.00058009336,"about_ca_system_score_gemma":0.00042787896,"threshold_uncertainty_score":0.043059647},"labels":[],"label_agreement":null},{"id":"W3122913300","doi":"10.1506/car.25.2.7","title":"The Association between Nonprofessional Investors' Information Choices and Their Portfolio Returns: The Importance of Investing Experience*","year":2008,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":116,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Library science; Management; Art history; History; Economics","score_opus":0.10491421052776263,"score_gpt":0.2988015702336018,"score_spread":0.1938873597058392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122913300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814606,0.00015494389,0.00016147317,0.00015274769,0.0000044004196,0.0000021187388,0.000029077799,0.000002680018,0.0013466376],"genre_scores_gemma":[0.99946135,0.00009300831,0.00006474655,0.000029893126,0.000013930513,7.70988e-7,0.000033284072,0.0000018940752,0.00030111108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949825,0.00018445592,0.00007517179,0.00005533361,0.000099554054,0.00008719822],"domain_scores_gemma":[0.9178683,0.06002755,0.013245731,0.0031505716,0.0016546698,0.0040531857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019914631,0.0001507142,0.00019037702,0.0005497637,0.00025030272,0.0016786349,0.00031181928,0.00093596353,0.0052940594],"category_scores_gemma":[0.031295557,0.00013763299,0.0001756504,0.00041061657,0.0005571635,0.0010961117,0.0005566879,0.00095059635,0.00048903364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008024799,0.0003044045,0.9801839,0.000024045508,0.000064683336,0.00019204486,0.00058782677,0.00029720133,0.0006816222,0.0004741656,0.00015424131,0.016233282],"study_design_scores_gemma":[0.000020891408,0.00021991871,0.99353904,0.000014644891,0.000041960815,0.0003378776,0.0009018701,0.0019459024,0.0003667086,0.0021770543,0.00042062724,0.000013502227],"about_ca_topic_score_codex":0.0009302536,"about_ca_topic_score_gemma":0.0013529403,"teacher_disagreement_score":0.0052940594,"about_ca_system_score_codex":0.00015830348,"about_ca_system_score_gemma":0.00022101859,"threshold_uncertainty_score":0.017710388},"labels":[],"label_agreement":null},{"id":"W3122914703","doi":"10.1142/s2010495216500032","title":"RATIONAL LEARNING FOR RISK-AVERSE INVESTORS BY CONDITIONING ON BEHAVIORAL CHOICES","year":2016,"lang":"en","type":"preprint","venue":"Annals of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Università degli Studi di Padova; National Research Foundation; Danmarks Grundforskningsfond; Global Risk Institute in Financial Services","keywords":"Herding; Expected utility hypothesis; Rational agent; Weighting; Cumulative prospect theory; Isoelastic utility; Behavioral economics; Risk aversion (psychology); Preference; Bayesian inference; Portfolio; Economics; Econometrics; Microeconomics; Computer science; Bayesian probability; Financial economics; Artificial intelligence","score_opus":0.08652605253543719,"score_gpt":0.28906803948169163,"score_spread":0.20254198694625444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122914703","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27490035,0.0008994022,0.7108287,0.0030302173,0.00009540418,0.0000969198,0.00013650322,0.00026372127,0.00974869],"genre_scores_gemma":[0.9432262,0.0008851232,0.046847496,0.00039986323,0.00017509727,0.0000967646,0.00012071087,0.000048249298,0.008200484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990835,0.00050679554,0.000033903227,0.0001570791,0.00011249526,0.00010615953],"domain_scores_gemma":[0.9895968,0.007621019,0.0014229787,0.0007126264,0.0003152114,0.00033143302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036562579,0.0010995751,0.0011482714,0.0004609733,0.0003412664,0.0018309776,0.0009942813,0.0017804047,0.0034185413],"category_scores_gemma":[0.01754304,0.00062785373,0.00080803694,0.00040364006,0.00167455,0.0036179468,0.0013780561,0.002049849,0.00036184918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005067124,0.00040240405,0.01113454,0.00018258205,0.00034050917,0.00043379221,0.0006070594,0.44676763,0.002752236,0.48171365,0.0022545315,0.05290435],"study_design_scores_gemma":[0.00006236046,0.0001041726,0.00077024015,0.000018407014,0.000040071405,0.00003834994,0.000031794974,0.7242328,0.00038150113,0.27364364,0.0006537642,0.00002298438],"about_ca_topic_score_codex":0.002181073,"about_ca_topic_score_gemma":0.0018709636,"teacher_disagreement_score":0.0036562579,"about_ca_system_score_codex":0.0008454493,"about_ca_system_score_gemma":0.00067489024,"threshold_uncertainty_score":0.019336343},"labels":[],"label_agreement":null},{"id":"W3122929986","doi":"10.1108/cfri-06-2012-0071","title":"International diversification benefits: an investigation from the perspective of Chinese investors","year":2013,"lang":"en","type":"article","venue":"China Finance Review International","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Diversification (marketing strategy); Sample (material); Originality; Economics; Econometrics; Financial economics; Business; Marketing","score_opus":0.030134977481588762,"score_gpt":0.24230483142719075,"score_spread":0.212169853945602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122929986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99144685,0.00058620336,0.00031432358,0.00039137644,0.000003898528,0.000015019983,0.0000188998,0.0000014360551,0.0072220033],"genre_scores_gemma":[0.9992555,0.00026689863,0.00007660547,0.000044493583,0.00000507125,0.000002950852,0.000007660792,3.1860083e-7,0.00034040204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976903,0.00007052893,0.000014947706,0.000026311262,0.000060442337,0.000058781112],"domain_scores_gemma":[0.9990602,0.0002579069,0.0003927993,0.00004826395,0.00011098565,0.00012982766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013441017,0.00017051585,0.00020823423,0.0005966486,0.0004110609,0.0010377355,0.00018879745,0.0002891388,0.0013955655],"category_scores_gemma":[0.001672427,0.000068490495,0.00022962841,0.0005310094,0.00065199204,0.00079897774,0.0007284595,0.0003094008,0.000057388686],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047213674,0.00021290289,0.8721061,0.00017068752,0.00016038983,0.0013155064,0.0062518287,0.004101839,0.0032771972,0.02987596,0.0010560879,0.08099937],"study_design_scores_gemma":[0.00006136125,0.0007154184,0.94671994,0.00014948635,0.0002682059,0.0007360489,0.016258989,0.014069332,0.0021744464,0.01281975,0.005984038,0.000043018044],"about_ca_topic_score_codex":0.00473736,"about_ca_topic_score_gemma":0.0059938575,"teacher_disagreement_score":0.00473736,"about_ca_system_score_codex":0.0011444559,"about_ca_system_score_gemma":0.0009310285,"threshold_uncertainty_score":0.00941956},"labels":[],"label_agreement":null},{"id":"W3122942416","doi":"","title":"Common Factors in Return Seasonalities","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"Download; Economics; Seasonality; Stock (firearms); Developing country; Econometrics; Financial economics; Geography; Mathematics; Statistics; Computer science; Economic growth","score_opus":0.017382946339195803,"score_gpt":0.20839347951548318,"score_spread":0.19101053317628738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122942416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833067,0.00028731726,0.010729225,0.00036201588,0.00002693376,0.00005239702,0.00026811042,0.00011954503,0.004847818],"genre_scores_gemma":[0.9987494,0.000036460344,0.0007743171,0.00001981727,0.0000120059185,0.0000056915396,0.00009158012,0.00001043329,0.00030024847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862325,0.00021589769,0.00014724782,0.0004851448,0.00030123582,0.00022727069],"domain_scores_gemma":[0.98778164,0.0039666276,0.004483106,0.0017717785,0.0011874065,0.00080948765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020525868,0.00036968302,0.0006094786,0.0014371879,0.00040274678,0.0015639338,0.00037938365,0.00059942214,0.0031812477],"category_scores_gemma":[0.015191089,0.0002838517,0.0006922636,0.0011610714,0.0011445867,0.0012665577,0.0011470485,0.00084741844,0.00046719596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030767234,0.00017910617,0.9228966,0.00006936542,0.0003530116,0.0004058617,0.0009855548,0.005938902,0.008379102,0.015149503,0.0011957065,0.044139534],"study_design_scores_gemma":[0.000017966942,0.00012814235,0.96085566,0.000017535347,0.00010247859,0.0003459949,0.00046243367,0.016050112,0.0012209915,0.01902783,0.0017246382,0.000046241494],"about_ca_topic_score_codex":0.0049239965,"about_ca_topic_score_gemma":0.004595798,"teacher_disagreement_score":0.0049239965,"about_ca_system_score_codex":0.00080250297,"about_ca_system_score_gemma":0.0005396802,"threshold_uncertainty_score":0.0108552575},"labels":[],"label_agreement":null},{"id":"W3122944448","doi":"10.1142/s0219024918500255","title":"TRADING STRATEGIES WITHIN THE EDGES OF NO-ARBITRAGE","year":2018,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Arbitrage; Statistical arbitrage; Trading strategy; Limit (mathematics); Economics; Profit (economics); Market maker; Mathematical optimization; Mathematical economics; Financial economics; Risk arbitrage; Arbitrage pricing theory; Mathematics; Microeconomics; Capital asset pricing model; Geology","score_opus":0.014005079368871695,"score_gpt":0.22178503217861956,"score_spread":0.20777995280974787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122944448","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60604733,0.0002499462,0.37786615,0.00046436663,0.000028973576,0.000033683646,0.0000402363,0.00006992671,0.015199468],"genre_scores_gemma":[0.9802449,0.000072805524,0.01806265,0.000047651138,0.000009645537,0.000019055975,0.000013678226,0.000009959656,0.0015196877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995407,0.00017707219,0.000024869996,0.000094848,0.0000954264,0.00006702424],"domain_scores_gemma":[0.99832386,0.0008157691,0.00036011735,0.000172522,0.00009384341,0.00023381459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008044182,0.00037643235,0.000644299,0.00028073936,0.00042818292,0.001702229,0.0010253555,0.0010964741,0.0018354143],"category_scores_gemma":[0.005282163,0.000367755,0.0006327254,0.00017172981,0.0012944525,0.002876977,0.0016632496,0.0011645905,0.00018430577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032176496,0.00013889896,0.0027156197,0.000043636945,0.000073154275,0.0006694046,0.00021122578,0.4905561,0.0067563215,0.48865265,0.0003417993,0.009519494],"study_design_scores_gemma":[0.000023173741,0.00007816419,0.00040288805,0.0000072635135,0.000010182361,0.0000656012,0.000034665307,0.8831405,0.00094844715,0.11478314,0.0004904757,0.000015454953],"about_ca_topic_score_codex":0.0005397525,"about_ca_topic_score_gemma":0.00031047934,"teacher_disagreement_score":0.0018354143,"about_ca_system_score_codex":0.00041211478,"about_ca_system_score_gemma":0.00033409477,"threshold_uncertainty_score":0.0061400533},"labels":[],"label_agreement":null},{"id":"W3122944925","doi":"10.1111/j.0950-0804.2005.00245.x","title":"The Role of Feelings in Investor Decision-Making","year":2005,"lang":"en","type":"article","venue":"Journal of Economic Surveys","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":341,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Feeling; Equity (law); Economics; Financial economics; Behavioral economics; Affect (linguistics); Positive economics; Social psychology; Psychology; Microeconomics; Political science; Law","score_opus":0.020684142600145523,"score_gpt":0.23750537934941376,"score_spread":0.21682123674926823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122944925","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9531585,0.002490665,0.0044863243,0.0018648535,0.00011853314,0.000028371058,0.00010411704,0.000012478701,0.03773609],"genre_scores_gemma":[0.99841833,0.0004566231,0.00053079345,0.00017630415,0.000023742636,0.0000070795845,0.000018516354,0.0000033637566,0.00036522167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817085,0.0011652377,0.000079979945,0.00015174515,0.0002949044,0.00013735009],"domain_scores_gemma":[0.98694617,0.00836523,0.0025855324,0.00045052913,0.0007009222,0.0009515797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028445541,0.00023347198,0.00028955977,0.0004310669,0.00038962765,0.0034113778,0.0002369163,0.000641281,0.0031970204],"category_scores_gemma":[0.01658221,0.00017074395,0.00026538686,0.00043462534,0.0013929941,0.0012278564,0.0010716307,0.0010461904,0.00021881693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024152573,0.00080796465,0.6000738,0.0011549165,0.0010407867,0.00092496816,0.034783807,0.0068215625,0.010391245,0.088638075,0.006036916,0.24691078],"study_design_scores_gemma":[0.000121737095,0.0007726451,0.8588334,0.00057398813,0.0003807887,0.00059289054,0.01567039,0.008823844,0.0021056521,0.09910403,0.0128318705,0.00018871596],"about_ca_topic_score_codex":0.0004623135,"about_ca_topic_score_gemma":0.00037488854,"teacher_disagreement_score":0.0034113778,"about_ca_system_score_codex":0.00044997188,"about_ca_system_score_gemma":0.00027897782,"threshold_uncertainty_score":0.015043616},"labels":[],"label_agreement":null},{"id":"W3122964770","doi":"10.1142/s021902491650028x","title":"ALGORITHMIC TRADING WITH LEARNING","year":2016,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Isaac Newton Institute for Mathematical Sciences","keywords":"Volatility (finance); Limit (mathematics); Computer science; Trading strategy; Convergence (economics); Econometrics; Economics; Mathematical optimization; Mathematics","score_opus":0.00898504384329632,"score_gpt":0.1972749792813742,"score_spread":0.18828993543807787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122964770","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06764154,0.0006996427,0.90627635,0.0028358374,0.00020609889,0.00008677124,0.00018219464,0.00038447228,0.021687133],"genre_scores_gemma":[0.8838773,0.0005209827,0.09684319,0.000527915,0.00026187266,0.00022760549,0.00016588731,0.00007650384,0.01749882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986082,0.00051775883,0.00007810986,0.00032395252,0.00030736506,0.0001646833],"domain_scores_gemma":[0.99522287,0.0031150875,0.0004898153,0.0005858608,0.0003216594,0.00026467486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018469054,0.0008948356,0.0012243633,0.00048578263,0.00068789115,0.0027561137,0.0019283547,0.0029704324,0.00704757],"category_scores_gemma":[0.01158436,0.00053309544,0.0009684216,0.00060402334,0.0023912454,0.004280736,0.0022013402,0.0022495482,0.0007276221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011635641,0.00007410085,0.0010746672,0.00006807234,0.000053493048,0.0001679346,0.000105401625,0.66858417,0.0006969683,0.31054088,0.0011784357,0.017339537],"study_design_scores_gemma":[0.000024275674,0.000021519429,0.00007154075,0.000006715681,0.0000058065034,0.000024268127,0.0000076540655,0.83779573,0.00010516752,0.16115718,0.00077151397,0.000008659738],"about_ca_topic_score_codex":0.0020726672,"about_ca_topic_score_gemma":0.001645882,"teacher_disagreement_score":0.00704757,"about_ca_system_score_codex":0.0011052281,"about_ca_system_score_gemma":0.0011826864,"threshold_uncertainty_score":0.023576438},"labels":[],"label_agreement":null},{"id":"W3122972766","doi":"","title":"Measuring the Cost of Economic Fluctuations with Preferences that Rationalize the Equity Premium","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Equity premium puzzle; Economics; Welfare; Asset (computer security); Business cycle; Equity (law); Aggregate (composite); Econometrics; Capital asset pricing model; Monetary economics; Macroeconomics","score_opus":0.12945829486795654,"score_gpt":0.3082471277310476,"score_spread":0.17878883286309108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122972766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83278173,0.0003985186,0.1491284,0.0012657205,0.00004274961,0.00007635033,0.00029228642,0.00007139385,0.015942775],"genre_scores_gemma":[0.992894,0.00009780748,0.006345073,0.00004855536,0.000014477681,0.000014998061,0.00005530293,0.0000052341265,0.00052449043],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990989,0.0004189428,0.000036557485,0.00015318688,0.00017161957,0.000120832054],"domain_scores_gemma":[0.99289,0.0046582567,0.0010507739,0.0009002058,0.00027243595,0.00022826459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022381747,0.0005270432,0.00036671676,0.00042316873,0.0002518926,0.0015443733,0.0005920096,0.0010621081,0.0031770966],"category_scores_gemma":[0.019184245,0.00019567861,0.00036062187,0.0007356163,0.00087245146,0.0023277316,0.0007935733,0.0013524625,0.0001800577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058614573,0.00045772007,0.08571659,0.0001885871,0.00030663653,0.00027445675,0.00044347718,0.21997128,0.008426914,0.61058635,0.0017315722,0.07131026],"study_design_scores_gemma":[0.00008918989,0.0003507619,0.04555159,0.000028594584,0.00011656653,0.00018265548,0.00039081424,0.38886595,0.005350105,0.55737394,0.0016320377,0.00006777616],"about_ca_topic_score_codex":0.001550545,"about_ca_topic_score_gemma":0.0011527132,"teacher_disagreement_score":0.0031770966,"about_ca_system_score_codex":0.0011490362,"about_ca_system_score_gemma":0.00047482667,"threshold_uncertainty_score":0.011836708},"labels":[],"label_agreement":null},{"id":"W3122978401","doi":"","title":"Competition for Order Flow, Market Quality, and Price Discovery in the Nasdaq 100 Index Tracking Stock","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The King's University","funders":"","keywords":"Price discovery; Business; Stock exchange; Order (exchange); Index (typography); Competition (biology); Volume-weighted average price; Financial economics; Monetary economics; Economics; Stock market; Market maker; Finance; Computer science","score_opus":0.04154218701307503,"score_gpt":0.2513743957283667,"score_spread":0.20983220871529165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122978401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99454594,0.00018829653,0.000214622,0.0003054347,0.0000044339645,0.000012707308,0.00012425955,0.0000051930824,0.0045992173],"genre_scores_gemma":[0.99919015,0.000052313855,0.000084324995,0.00003744776,0.000009921883,0.0000059202725,0.000107931715,0.000002915671,0.0005091023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980566,0.0005782213,0.000119042306,0.0002535008,0.00047249565,0.00052007195],"domain_scores_gemma":[0.919849,0.048277676,0.02167599,0.0014086121,0.0024651506,0.0063236174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004420865,0.0003111185,0.0007601691,0.0019003918,0.0011750483,0.004007026,0.000867187,0.0013708763,0.00762926],"category_scores_gemma":[0.025377678,0.00027383704,0.000759647,0.0021732158,0.0020226587,0.0026245248,0.0012414722,0.0020044623,0.0006545247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028594679,0.002629756,0.9319714,0.000091390866,0.00024033664,0.0004922965,0.001167162,0.0121929115,0.0030263618,0.024900757,0.003390426,0.017037699],"study_design_scores_gemma":[0.0004024662,0.0010838922,0.9089776,0.000029685805,0.00015752808,0.0002575823,0.0014486345,0.07016848,0.0012998392,0.014384947,0.0016556077,0.00013367934],"about_ca_topic_score_codex":0.022930061,"about_ca_topic_score_gemma":0.021561293,"teacher_disagreement_score":0.022930061,"about_ca_system_score_codex":0.0031775197,"about_ca_system_score_gemma":0.0013674566,"threshold_uncertainty_score":0.045593202},"labels":[],"label_agreement":null},{"id":"W3122979850","doi":"10.1093/rapstu/rav005","title":"Managerial Activeness and Mutual Fund Performance","year":2015,"lang":"en","type":"article","venue":"The Review of Asset Pricing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Portfolio; Proxy (statistics); Econometrics; Weighting; Volatility (finance); Mutual fund; Economics; Intuition; Investment management; Actuarial science; Mathematics; Financial economics; Statistics; Psychology; Finance; Market liquidity","score_opus":0.1300231517592109,"score_gpt":0.30527316203695365,"score_spread":0.17525001027774276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122979850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858364,0.0011790405,0.0009226535,0.00074171054,0.000024298703,0.000011758043,0.00015314968,0.000023602464,0.011107377],"genre_scores_gemma":[0.99859816,0.0001971923,0.00010089248,0.00002902471,0.000052838146,0.0000023564955,0.00006100233,0.0000015132746,0.0009569555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995197,0.00012021259,0.00006008959,0.000065308355,0.00015663539,0.000078062854],"domain_scores_gemma":[0.98209375,0.0024342716,0.013247918,0.0003103865,0.0005139595,0.0013996727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001359175,0.0001962515,0.00013357722,0.0010423502,0.00022132498,0.0014733949,0.0002376056,0.00052681693,0.005009657],"category_scores_gemma":[0.013628654,0.00006366477,0.00010676441,0.00093435205,0.00047987164,0.00092544395,0.0007621239,0.00035235847,0.000908404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015479687,0.00012517125,0.93075746,0.00007832038,0.00013501005,0.0003042609,0.0004967154,0.002356258,0.0009966764,0.007634426,0.0030091682,0.053951647],"study_design_scores_gemma":[0.000025576244,0.00020552138,0.98096347,0.00006553009,0.000042950607,0.0005283101,0.0005141317,0.0038506605,0.0004716826,0.009552699,0.0037617113,0.000017600352],"about_ca_topic_score_codex":0.000719986,"about_ca_topic_score_gemma":0.000943323,"teacher_disagreement_score":0.005009657,"about_ca_system_score_codex":0.000465192,"about_ca_system_score_gemma":0.0001520436,"threshold_uncertainty_score":0.016758978},"labels":[],"label_agreement":null},{"id":"W3122985187","doi":"10.1506/j4gu-bhwh-8hme-le0x","title":"Do Institutional Investors Prefer Near‐Term Earnings over Long‐Run Value?*","year":2001,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1335,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Institutional investor; Term (time); Stock (firearms); Business; Fiduciary; Value (mathematics); Monetary economics; Enterprise value; Financial economics; Economics; Finance; Corporate governance","score_opus":0.11940247894381245,"score_gpt":0.3091069374416362,"score_spread":0.18970445849782375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122985187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99421436,0.00016118168,0.00049138593,0.0004245149,0.000007118618,0.00000500504,0.000039250124,0.00000430136,0.004652952],"genre_scores_gemma":[0.99950874,0.000056926383,0.00006161406,0.0000647886,0.000010227053,0.0000010567519,0.00001607794,6.182442e-7,0.00027991144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977595,0.000074909745,0.00001930625,0.000027010465,0.000047819623,0.00005503869],"domain_scores_gemma":[0.9933902,0.0023022336,0.0031581537,0.00027698287,0.00033395106,0.00053848285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013948168,0.0001016028,0.00019131762,0.00033116242,0.00015208653,0.0013145073,0.00016345379,0.0005996756,0.003973368],"category_scores_gemma":[0.008199507,0.00007230893,0.00011551042,0.0003014268,0.00046320102,0.0011550566,0.00027808,0.00030072327,0.00035419213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011275953,0.00025756436,0.93614465,0.00007300169,0.00019734853,0.00040481435,0.00050701183,0.0021465684,0.0029440327,0.0069519305,0.0011025277,0.048142977],"study_design_scores_gemma":[0.00015575935,0.0007560865,0.9480444,0.00005272571,0.00013601752,0.00064027414,0.0032279645,0.008339074,0.0022466907,0.033243366,0.0031060888,0.00005154963],"about_ca_topic_score_codex":0.0005472505,"about_ca_topic_score_gemma":0.0011918963,"teacher_disagreement_score":0.003973368,"about_ca_system_score_codex":0.00023673072,"about_ca_system_score_gemma":0.000103148435,"threshold_uncertainty_score":0.013292253},"labels":[],"label_agreement":null},{"id":"W3122985308","doi":"","title":"Trading Volume and Stock Investments","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Market liquidity; Stock (firearms); Algorithmic trading; Proxy (statistics); Financial economics; Business; Stock trading; Monetary economics; Inventory turnover; Economics; Volume (thermodynamics); Market capitalization; Econometrics; Stock exchange; Finance; Stock market; Mathematics; Geography","score_opus":0.01773967468499611,"score_gpt":0.20798761305013425,"score_spread":0.19024793836513815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122985308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9574446,0.005870321,0.0013903388,0.000817947,0.000053320357,0.000022892224,0.0017453794,0.000053688615,0.03260156],"genre_scores_gemma":[0.99414366,0.0011839813,0.00023965267,0.000051044124,0.000106961714,0.00000983157,0.0009276441,0.00000898362,0.00332817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938166,0.00015722867,0.00007313137,0.00008931995,0.00022423189,0.00007442861],"domain_scores_gemma":[0.98540944,0.0063911118,0.006071799,0.00034757733,0.0006087061,0.0011713608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007537823,0.00023605544,0.00027153542,0.0016212403,0.00020555241,0.0021386365,0.00029609486,0.0005643064,0.007860923],"category_scores_gemma":[0.011262207,0.00013094486,0.00025952593,0.0020623843,0.00031584708,0.0013401392,0.00056999264,0.0007123241,0.0011675879],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022383207,0.00014934766,0.964092,0.00007065538,0.0002608453,0.0002320265,0.00022253161,0.0025248453,0.00042854468,0.006562583,0.00097441254,0.02425846],"study_design_scores_gemma":[0.000015454723,0.00014075894,0.9787932,0.000058316724,0.0000611725,0.00043046364,0.00021209156,0.003728768,0.00028914268,0.011721301,0.004526295,0.000023001285],"about_ca_topic_score_codex":0.0018416519,"about_ca_topic_score_gemma":0.0016474529,"teacher_disagreement_score":0.007860923,"about_ca_system_score_codex":0.00046449673,"about_ca_system_score_gemma":0.00019597512,"threshold_uncertainty_score":0.02629745},"labels":[],"label_agreement":null},{"id":"W3122991171","doi":"10.1111/jofi.12876","title":"What Drives Anomaly Returns?","year":2020,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Cash flow; Economics; Econometrics; Stochastic discount factor; Anomaly (physics); Portfolio; Uncorrelated; Financial economics; Capital asset pricing model; Monetary economics; Mathematics; Finance; Statistics","score_opus":0.038882366502527944,"score_gpt":0.21401510667721957,"score_spread":0.17513274017469163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122991171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823736,0.00067710306,0.010691137,0.0016649435,0.00009411826,0.000020912546,0.00034714057,0.00030722437,0.0038238561],"genre_scores_gemma":[0.9989048,0.00012247008,0.000441682,0.000050592724,0.00006411612,0.0000022707584,0.000102622915,0.000024025849,0.0002874214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991359,0.00017270763,0.00008892244,0.00019190146,0.00024372152,0.00016687784],"domain_scores_gemma":[0.98734635,0.005489556,0.0039521502,0.00087715656,0.0016900816,0.0006447839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017630266,0.00038539837,0.00066150137,0.001659835,0.00030055302,0.0027434833,0.00053946034,0.0010102326,0.0034702553],"category_scores_gemma":[0.03512196,0.00030766358,0.00032751594,0.0012854952,0.00079907937,0.0026538419,0.0006668882,0.0010415834,0.0005971885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081107777,0.00025952718,0.82760006,0.000156223,0.00037078006,0.0012343408,0.00040545245,0.02369699,0.013018653,0.030751897,0.0042492836,0.097445734],"study_design_scores_gemma":[0.000066624736,0.00022401368,0.708659,0.0000697915,0.00017751471,0.0013549121,0.00080737384,0.17545022,0.0054353755,0.10381706,0.0038114425,0.00012668778],"about_ca_topic_score_codex":0.0027894885,"about_ca_topic_score_gemma":0.0011547327,"teacher_disagreement_score":0.0034702553,"about_ca_system_score_codex":0.0008202743,"about_ca_system_score_gemma":0.00044364098,"threshold_uncertainty_score":0.011609137},"labels":[],"label_agreement":null},{"id":"W3123001544","doi":"10.1016/j.jeca.2012.02.005","title":"The Entrenched Kurtosis in Current Portfolio Returns","year":2012,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Kurtosis; Portfolio; Economics; Econometrics; Normality; Risk aversion (psychology); Skewness; Financial economics; Variance (accounting); Expected utility hypothesis; Statistics; Mathematics","score_opus":0.03422855894361147,"score_gpt":0.2437084334838106,"score_spread":0.20947987454019912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123001544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94191486,0.0011745107,0.040318266,0.0026566177,0.00017331766,0.000005869543,0.00010924004,0.00010832132,0.013538836],"genre_scores_gemma":[0.99812335,0.00022443576,0.0007024556,0.000048191338,0.00010440896,0.0000012657314,0.000021162363,0.000019016115,0.000755691],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999551,0.00009080258,0.000042913132,0.00010015164,0.00014879563,0.00006632174],"domain_scores_gemma":[0.99127954,0.0045476924,0.0018019084,0.0010663287,0.0009192467,0.00038536676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019032276,0.00031521323,0.00040720688,0.0010534363,0.00040093888,0.0033631572,0.0006105074,0.0010089168,0.0021977278],"category_scores_gemma":[0.028373314,0.00054772873,0.00023141774,0.0006971981,0.0014868355,0.007784097,0.0012322266,0.001667779,0.00035888833],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073703437,0.00015675827,0.10241058,0.00020107704,0.00022782343,0.0023009416,0.001892066,0.05151327,0.02402922,0.69116765,0.004521355,0.12084215],"study_design_scores_gemma":[0.000057667417,0.00016262702,0.120790474,0.00011084944,0.00013074603,0.002026803,0.0005253172,0.15186168,0.0058240285,0.7140998,0.004243553,0.00016642202],"about_ca_topic_score_codex":0.00040877488,"about_ca_topic_score_gemma":0.0003869337,"teacher_disagreement_score":0.0033631572,"about_ca_system_score_codex":0.0005065058,"about_ca_system_score_gemma":0.0003411384,"threshold_uncertainty_score":0.010065317},"labels":[],"label_agreement":null},{"id":"W3123002867","doi":"10.2308/accr-50912","title":"Analyst Interest as an Early Indicator of Firm Fundamental Changes and Stock Returns","year":2014,"lang":"en","type":"article","venue":"The Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Economics; Stock (firearms); Financial economics; Portfolio; Interest rate; Capital market; Monetary economics; Business; Finance","score_opus":0.05020140747106039,"score_gpt":0.2590750159986241,"score_spread":0.2088736085275637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123002867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895285,0.0019337798,0.0010553065,0.0003783289,0.000015789134,0.000019731615,0.00034901206,0.000013158237,0.0067064464],"genre_scores_gemma":[0.99851686,0.00045860378,0.0002479946,0.000021702577,0.000041758874,0.000004682009,0.00014973123,9.694998e-7,0.00055771205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993981,0.00021332751,0.00006921016,0.000067906345,0.00019617935,0.00005524028],"domain_scores_gemma":[0.9657823,0.010439472,0.020260205,0.00048415226,0.0020907547,0.0009432078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014846553,0.00015629307,0.0001984667,0.0017089369,0.000101969985,0.0009029571,0.00018585927,0.000383544,0.0019412042],"category_scores_gemma":[0.011776677,0.00006976404,0.00011779569,0.0013468061,0.00019398126,0.0005036113,0.00030031873,0.00035238956,0.00028006674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014348025,0.000053539436,0.9813587,0.000055687713,0.000047701506,0.00010021629,0.00011297113,0.000897297,0.0012414535,0.0011119118,0.0006358915,0.014241033],"study_design_scores_gemma":[0.000004792866,0.000083721075,0.99625695,0.000018178273,0.000021866581,0.000110827605,0.0001116996,0.0016887358,0.00033603984,0.00055162323,0.0008093843,0.000006134702],"about_ca_topic_score_codex":0.0021298435,"about_ca_topic_score_gemma":0.0032181449,"teacher_disagreement_score":0.0021298435,"about_ca_system_score_codex":0.0004092256,"about_ca_system_score_gemma":0.00027444027,"threshold_uncertainty_score":0.00785172},"labels":[],"label_agreement":null},{"id":"W3123005084","doi":"10.19030/jber.v6i8.2460","title":"A Combined Signal Approach To Technical Analysis On The S&amp;P 500","year":2011,"lang":"en","type":"article","venue":"Journal of Business & Economics Research (JBER)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Profitability index; Span (engineering); Economics; Econometrics; Style (visual arts); Life span; Technical analysis; Mathematics; Financial economics; Finance; Medicine; History; Engineering","score_opus":0.22439483065602445,"score_gpt":0.2958197421998192,"score_spread":0.07142491154379477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123005084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.897971,0.0001876264,0.090345204,0.00028614304,0.000035762303,0.00010397587,0.00061923295,0.00031693844,0.010134043],"genre_scores_gemma":[0.9754456,0.000061500155,0.021999331,0.000034642537,0.000043057822,0.000033054625,0.00047370675,0.000020773503,0.0018882644],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979876,0.0007326197,0.00010681284,0.0003500552,0.00074365735,0.00007922372],"domain_scores_gemma":[0.99279684,0.004464715,0.0010140035,0.00059683237,0.0009715523,0.00015605439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022892896,0.0003442024,0.00051923556,0.0022677353,0.0002449137,0.001174858,0.00064274156,0.00038082965,0.0025629655],"category_scores_gemma":[0.011213087,0.0001912764,0.00057439134,0.0015987708,0.00034360107,0.0008546725,0.0006826769,0.00059841375,0.00048686133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013992095,0.0005559965,0.22043587,0.00020636756,0.00067769847,0.0011181397,0.0003582104,0.20595495,0.014347297,0.015183743,0.004131205,0.53563124],"study_design_scores_gemma":[0.000047042475,0.000888803,0.14814924,0.000019726102,0.000121826,0.00020989928,0.00019977757,0.8396938,0.0039736293,0.003977216,0.002668401,0.0000506465],"about_ca_topic_score_codex":0.0029749335,"about_ca_topic_score_gemma":0.0048408797,"teacher_disagreement_score":0.0029749335,"about_ca_system_score_codex":0.0004659249,"about_ca_system_score_gemma":0.0004202009,"threshold_uncertainty_score":0.012107074},"labels":[],"label_agreement":null},{"id":"W3123005890","doi":"10.1111/irfi.12289","title":"Quote dynamics of cross‐listed stocks","year":2019,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Spillover effect; Cross listing; Economics; Competition (biology); Sample (material); Monetary economics; Financial economics; Econometrics; Business; Microeconomics; Finance","score_opus":0.0210648843522125,"score_gpt":0.2719902063985152,"score_spread":0.2509253220463027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123005890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9507213,0.00054502697,0.029384496,0.0018030285,0.00003412541,0.000065593216,0.0012351323,0.00021660228,0.01599458],"genre_scores_gemma":[0.9940684,0.00014105428,0.001032716,0.00004583115,0.000010013456,0.000012340546,0.00019760961,0.00001039095,0.004481627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996388,0.000080786376,0.000021697355,0.00008267016,0.000098071156,0.000078031146],"domain_scores_gemma":[0.99729854,0.00087749824,0.0010226681,0.000121267585,0.00040160527,0.00027840692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001112193,0.0004277097,0.0006704907,0.00083006563,0.0005484889,0.0030606468,0.001364262,0.0019188748,0.0064054267],"category_scores_gemma":[0.00733758,0.00053504005,0.00060284516,0.0007434956,0.000580423,0.0033487205,0.0010101869,0.0014853899,0.0006876509],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048773322,0.00032392165,0.07687976,0.00013333517,0.0001856017,0.0022822144,0.0008842715,0.7171401,0.009061176,0.16224477,0.0058703693,0.024506733],"study_design_scores_gemma":[0.000037560727,0.000049350332,0.009108049,0.00001345252,0.00003083203,0.00020779524,0.00015173742,0.97575766,0.0005440019,0.013233732,0.00083216245,0.000033737037],"about_ca_topic_score_codex":0.043055784,"about_ca_topic_score_gemma":0.01823137,"teacher_disagreement_score":0.043055784,"about_ca_system_score_codex":0.0022673493,"about_ca_system_score_gemma":0.0007976981,"threshold_uncertainty_score":0.08561033},"labels":[],"label_agreement":null},{"id":"W3123018500","doi":"10.1080/1350486x.2019.1603183","title":"Mean-Field Game Strategies for Optimal Execution","year":2019,"lang":"en","type":"article","venue":"Applied Mathematical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nash equilibrium; Minor (academic); Mathematical economics; Repeated game; High-frequency trading; Sequential game; Set (abstract data type); Computer science; Population; Property (philosophy); Outcome (game theory); Game theory; Algorithmic trading; Economics; Finance","score_opus":0.02378308821676511,"score_gpt":0.22606546374715247,"score_spread":0.20228237553038736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123018500","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038559433,0.0004415325,0.9401153,0.0011490466,0.00007551156,0.0001640755,0.00020114324,0.00015429057,0.019139767],"genre_scores_gemma":[0.80748755,0.0008429689,0.17165498,0.00056818634,0.00014492183,0.0009475088,0.00028842568,0.00014313991,0.017922234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99844545,0.0006693927,0.00007789631,0.00031300375,0.00028866046,0.00020565478],"domain_scores_gemma":[0.995568,0.0032248753,0.00042260595,0.0001716431,0.00031178247,0.0003010796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027049116,0.0015236463,0.0018372315,0.0011679288,0.0008822704,0.002307426,0.0019124756,0.0026510465,0.0059241066],"category_scores_gemma":[0.011010077,0.0006398491,0.001493928,0.0007702448,0.0028121073,0.003057478,0.0018281613,0.0024491255,0.00070791825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005835603,0.00007467025,0.0005435706,0.00009405731,0.00005581913,0.0001001487,0.0001720428,0.32077506,0.00083069556,0.6668271,0.001791622,0.008676949],"study_design_scores_gemma":[0.000030839845,0.00002813017,0.0001064306,0.000018930243,0.000009194612,0.000021769361,0.00002763514,0.64116466,0.00014083959,0.3574472,0.0009849307,0.00001933375],"about_ca_topic_score_codex":0.0038756523,"about_ca_topic_score_gemma":0.0034590636,"teacher_disagreement_score":0.0059241066,"about_ca_system_score_codex":0.0031340416,"about_ca_system_score_gemma":0.002638317,"threshold_uncertainty_score":0.022739172},"labels":[],"label_agreement":null},{"id":"W3123018782","doi":"","title":"Endogenous Parameter Time Series Estimation of the Ohlson Model: Linear and Nonlinear Analyses","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Nonlinear system; Econometrics; Mathematics; Series (stratigraphy); Economics; Earnings; Ordinary least squares; Estimation; Least-squares function approximation; Statistics; Applied mathematics; Finance","score_opus":0.035463019672960845,"score_gpt":0.23848584823740224,"score_spread":0.2030228285644414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123018782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5117131,0.0014059573,0.46099657,0.0017950297,0.00007704701,0.00020006506,0.00097219757,0.00028334427,0.022556745],"genre_scores_gemma":[0.9589375,0.0007526807,0.031373676,0.00014134489,0.0000620731,0.00012549829,0.0006777351,0.00008547628,0.007843983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981616,0.0010291944,0.00009264981,0.00027092217,0.00032031245,0.00012524932],"domain_scores_gemma":[0.979188,0.017315758,0.0017003,0.0008308596,0.0008250103,0.0001400363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00774789,0.0006636382,0.0008305989,0.0010742198,0.00049349654,0.0018901323,0.0011096061,0.0008547263,0.0051516304],"category_scores_gemma":[0.026335819,0.00034348317,0.0011041752,0.0009853458,0.000928265,0.0023725147,0.0017724684,0.0018850098,0.0009599087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005128259,0.00040289803,0.15518633,0.00045386693,0.00070605753,0.0007959227,0.0012961844,0.50257885,0.0016460452,0.22810245,0.004009805,0.10430876],"study_design_scores_gemma":[0.000040913375,0.0000832142,0.01910597,0.0000514694,0.000114366296,0.00009232501,0.00037723483,0.9290621,0.000769315,0.0481865,0.0020663547,0.000050169583],"about_ca_topic_score_codex":0.012372347,"about_ca_topic_score_gemma":0.009165266,"teacher_disagreement_score":0.012372347,"about_ca_system_score_codex":0.0011438815,"about_ca_system_score_gemma":0.0013182837,"threshold_uncertainty_score":0.040975213},"labels":[],"label_agreement":null},{"id":"W3123026299","doi":"","title":"Empirical Evaluation of Investor Rationality in the Asset Allocation Puzzle","year":2006,"lang":"en","type":"article","venue":"Cahiers de recherche","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rationality; Portfolio; Contradiction; Bond; Economics; Asset allocation; Asset (computer security); Financial economics; Sample (material); Capital asset pricing model; Econometrics; Actuarial science; Finance; Computer science; Philosophy","score_opus":0.36107793433544877,"score_gpt":0.38163771047866935,"score_spread":0.020559776143220576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123026299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97715116,0.0010658146,0.0028542937,0.004651535,0.000025769048,0.00006546257,0.0014184357,0.00005208868,0.0127156],"genre_scores_gemma":[0.9972619,0.00011918415,0.0008701611,0.00009217447,0.000027267908,0.000025710446,0.00068687956,0.000007741683,0.00090912054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99598444,0.0021760385,0.00030723034,0.00023710195,0.0009227654,0.0003724013],"domain_scores_gemma":[0.80034035,0.14867237,0.0281617,0.0141738,0.005745228,0.0029066014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0149067,0.00035030098,0.0009390116,0.002970003,0.00090013107,0.0014154359,0.0012367218,0.0013979711,0.011717005],"category_scores_gemma":[0.102814674,0.00020340097,0.0003727663,0.0031402004,0.0014329788,0.002377748,0.0017240535,0.0018781627,0.00061205856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014863319,0.0008492804,0.8427474,0.00020659904,0.00032488676,0.0011337035,0.002075916,0.009696318,0.00078582804,0.071106225,0.016612409,0.052975092],"study_design_scores_gemma":[0.0005950192,0.0005160096,0.7868819,0.00011652128,0.00022927261,0.0011098024,0.0039917734,0.07342205,0.002055949,0.1126957,0.018253535,0.00013239248],"about_ca_topic_score_codex":0.0058352477,"about_ca_topic_score_gemma":0.005068951,"teacher_disagreement_score":0.0149067,"about_ca_system_score_codex":0.0012682829,"about_ca_system_score_gemma":0.00062477065,"threshold_uncertainty_score":0.07883513},"labels":[],"label_agreement":null},{"id":"W3123027396","doi":"10.1111/j.1540-6261.2010.01643.x","title":"The Interim Trading Skills of Institutional Investors","year":2011,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":448,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interim; Institutional investor; Business; Quarter (Canadian coin); Monetary economics; Financial economics; Economics; Finance; Political science; Corporate governance","score_opus":0.05800686823082958,"score_gpt":0.2205900355552012,"score_spread":0.1625831673243716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123027396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99811697,0.000062758256,0.0004048511,0.00004107835,0.0000022848142,0.0000027617582,0.00029990383,0.000009159438,0.0010602933],"genre_scores_gemma":[0.99950075,0.000021633263,0.00012346481,0.0000047613116,0.0000068652257,0.0000015510875,0.00019084255,0.0000012197986,0.0001488174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939644,0.00009573976,0.00011433902,0.00008699897,0.00018719408,0.000119292294],"domain_scores_gemma":[0.96328306,0.009498647,0.022021728,0.0019329748,0.0014610208,0.0018025755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016822497,0.00019396794,0.00028359957,0.00146945,0.00015579164,0.0012085693,0.0003068539,0.00032865035,0.002823566],"category_scores_gemma":[0.016536906,0.00011338456,0.0002049807,0.0009870718,0.0002725909,0.001067589,0.00072504167,0.00051339535,0.00048379716],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010314808,0.000045634257,0.987485,0.000008764351,0.000046948244,0.000088909444,0.000102461294,0.00082013645,0.0004312525,0.00029918042,0.00017506082,0.010393566],"study_design_scores_gemma":[0.000010642839,0.00017618248,0.99135286,0.000014491678,0.000036643512,0.0003787688,0.00022204875,0.004473105,0.0010615563,0.0014289732,0.0008296537,0.000015002484],"about_ca_topic_score_codex":0.00058041356,"about_ca_topic_score_gemma":0.0007207958,"teacher_disagreement_score":0.002823566,"about_ca_system_score_codex":0.00018540739,"about_ca_system_score_gemma":0.00017413375,"threshold_uncertainty_score":0.009445727},"labels":[],"label_agreement":null},{"id":"W3123032831","doi":"","title":"Past Market Variance and Asset Prices","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Mitacs; University of Chicago","keywords":"Capital asset pricing model; Stochastic discount factor; Economics; Econometrics; Price variance; Variance (accounting); Discounting; Risk premium; Conditional variance; Variance risk premium; Financial economics; Consumption (sociology); Asset (computer security); Systematic risk; Autoregressive conditional heteroskedasticity; Finance; Stochastic volatility; Volatility risk premium; Volatility (finance)","score_opus":0.05278785532115431,"score_gpt":0.2708999726091307,"score_spread":0.21811211728797636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123032831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8654954,0.0034694588,0.111409046,0.0022143463,0.00008540816,0.0000150043215,0.00034202053,0.00017357686,0.01679565],"genre_scores_gemma":[0.99695885,0.00047915435,0.0012822548,0.000044294906,0.00007609507,0.000005578515,0.00008284957,0.000017797309,0.0010532087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996195,0.00010724482,0.000020763253,0.000114262264,0.00008062773,0.00005761061],"domain_scores_gemma":[0.9939361,0.0036446005,0.0012139253,0.000611137,0.0003633583,0.00023083358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016425084,0.00026598267,0.000431062,0.00093330804,0.00029126118,0.002002166,0.00043218175,0.00081386045,0.002867273],"category_scores_gemma":[0.015601002,0.00024438935,0.00034252423,0.0009872231,0.0010163181,0.0022188576,0.00071318063,0.00097468344,0.0002703518],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017257518,0.00016252046,0.08286131,0.00013054977,0.00029457881,0.000448583,0.00048502203,0.099890664,0.0037212996,0.7378631,0.0022797345,0.07168994],"study_design_scores_gemma":[0.000020136562,0.000061241066,0.06411872,0.000047468206,0.00006192161,0.0003020045,0.00009007256,0.20241724,0.0009633843,0.7291545,0.002712471,0.000050756593],"about_ca_topic_score_codex":0.0011906594,"about_ca_topic_score_gemma":0.0008971154,"teacher_disagreement_score":0.002867273,"about_ca_system_score_codex":0.00073544454,"about_ca_system_score_gemma":0.00025995114,"threshold_uncertainty_score":0.009591997},"labels":[],"label_agreement":null},{"id":"W3123037888","doi":"10.1093/jjfinec/nbz022","title":"Positional Portfolio Management","year":2019,"lang":"en","type":"article","venue":"Journal of Financial Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Agence Nationale de la Recherche","keywords":"Unobservable; Portfolio; Position (finance); Competitor analysis; Project portfolio management; Asset allocation; Variance (accounting); Econometrics; Asset (computer security); Replicating portfolio; Rate of return on a portfolio; Function (biology); Economics; Modern portfolio theory; Portfolio optimization; Computer science; Financial economics; Finance; Accounting","score_opus":0.021321049227597057,"score_gpt":0.1971227183081128,"score_spread":0.17580166908051573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123037888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38894948,0.004791458,0.55090636,0.003586532,0.00016104424,0.00033299965,0.00041509088,0.00041251353,0.050444417],"genre_scores_gemma":[0.96707165,0.00086312916,0.024145756,0.00016279638,0.00007640263,0.00007035105,0.00015855412,0.000026092297,0.007425165],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838746,0.000802198,0.00006910511,0.0002332224,0.00032797168,0.00017995306],"domain_scores_gemma":[0.9963825,0.0017997188,0.00086378714,0.00035197538,0.00034183013,0.00026026528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031687946,0.00073036767,0.00073722407,0.0007665301,0.0005059159,0.0026684199,0.00095996226,0.0010637423,0.0065369857],"category_scores_gemma":[0.009301656,0.00025198364,0.00032603552,0.0010457658,0.00075858005,0.0023838822,0.0009623973,0.0008454838,0.0008439228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021884701,0.00044284982,0.026498307,0.00024976005,0.00030096574,0.00024319522,0.00039306746,0.29334486,0.0029301632,0.26475164,0.0094499495,0.40117636],"study_design_scores_gemma":[0.00010998033,0.0006290594,0.0068433275,0.00008473953,0.00007055724,0.0002035366,0.00025931184,0.6823009,0.0019131884,0.2913836,0.016154904,0.0000468811],"about_ca_topic_score_codex":0.0015545046,"about_ca_topic_score_gemma":0.0015826698,"teacher_disagreement_score":0.0065369857,"about_ca_system_score_codex":0.0010672743,"about_ca_system_score_gemma":0.0011076835,"threshold_uncertainty_score":0.021868408},"labels":[],"label_agreement":null},{"id":"W3123057352","doi":"10.1093/rof/rfs040","title":"Stock Price Manipulation: Prevalence and Determinants","year":2013,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Australian Research Council; Australian National University","keywords":"Closing (real estate); Market liquidity; Stock (firearms); Monetary economics; Information asymmetry; Business; Quarter (Canadian coin); Economics; Volatility (finance); Financial economics; Econometrics; Finance; Geography","score_opus":0.049809681337563604,"score_gpt":0.23385270884055698,"score_spread":0.18404302750299337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123057352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939175,0.001740373,0.00046553792,0.00034645628,0.000013509007,0.000037132148,0.00063143135,0.000017394595,0.0028306928],"genre_scores_gemma":[0.9990845,0.0003205239,0.000097691634,0.00002111173,0.000029470413,0.0000050041513,0.00026893333,0.0000014950019,0.00017138878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979978,0.0003609069,0.00034772666,0.00026475382,0.0008327754,0.00019589251],"domain_scores_gemma":[0.8869845,0.023413744,0.082426004,0.0024478831,0.0032504916,0.0014774341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028519472,0.00021840192,0.00035981328,0.0023615214,0.00023820033,0.0017208855,0.0004152368,0.0005991277,0.0043528965],"category_scores_gemma":[0.030082295,0.00019156259,0.00034232036,0.001874412,0.00070960005,0.0013118833,0.0008088228,0.000964464,0.0005396576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007639621,0.00005459676,0.9932296,0.000037048638,0.000064284766,0.00009721403,0.000064428816,0.00013414705,0.00022615575,0.0002499771,0.00028723714,0.0054789125],"study_design_scores_gemma":[0.0000058985624,0.000059312366,0.99726874,0.000038454178,0.00003705883,0.0004006104,0.00014440044,0.00093096175,0.0003158339,0.00028554638,0.0005051692,0.000008029643],"about_ca_topic_score_codex":0.0015316461,"about_ca_topic_score_gemma":0.0011800521,"teacher_disagreement_score":0.0043528965,"about_ca_system_score_codex":0.00034759243,"about_ca_system_score_gemma":0.00025509225,"threshold_uncertainty_score":0.015082717},"labels":[],"label_agreement":null},{"id":"W3123065606","doi":"10.1506/92cb-p8g9-2a31-pv0r","title":"Information Uncertainty and Analyst Forecast Behavior*","year":2006,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":359,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Optimism; Rationality; Intermediary; Negative information; Investment decisions; Economics; Investment (military); Econometrics; Psychology; Behavioral economics; Social psychology; Microeconomics; Finance; Political science","score_opus":0.0710307409702623,"score_gpt":0.2830270883347827,"score_spread":0.2119963473645204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123065606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949037,0.0003249129,0.0022644144,0.0004315708,0.000010633071,0.000009165126,0.000055754874,0.000018603852,0.0019812537],"genre_scores_gemma":[0.9993519,0.000106788546,0.00035918725,0.0000251759,0.000012939017,0.0000019443307,0.000025316775,0.000002368281,0.00011420446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830925,0.00069808715,0.00016777468,0.0001541056,0.0005521634,0.00011860461],"domain_scores_gemma":[0.8956388,0.070823185,0.026734203,0.0026848796,0.0030988846,0.0010200902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004954308,0.0002937728,0.00029183907,0.0007258274,0.00018805564,0.0017607263,0.00023305984,0.0007522302,0.0012458789],"category_scores_gemma":[0.06537438,0.00021766248,0.0002188046,0.0004513392,0.0004050898,0.0011981843,0.00043605725,0.00075436686,0.00015799268],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001938475,0.00027304338,0.9017955,0.0001476228,0.0004709897,0.00035362385,0.002338362,0.026339078,0.0073758457,0.006974568,0.00092569384,0.051067144],"study_design_scores_gemma":[0.000109679364,0.00079981616,0.79695725,0.00016180708,0.00032734824,0.00074761204,0.0018118672,0.15004344,0.010200234,0.036307737,0.0023743184,0.00015887854],"about_ca_topic_score_codex":0.0018265609,"about_ca_topic_score_gemma":0.001387378,"teacher_disagreement_score":0.004954308,"about_ca_system_score_codex":0.00048922666,"about_ca_system_score_gemma":0.00034970004,"threshold_uncertainty_score":0.026201189},"labels":[],"label_agreement":null},{"id":"W3123072650","doi":"","title":"Does Information Vault Niagara_Falls? Cross-listed trading in New York and Toronto","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cross listing; Stock exchange; Stock (firearms); Business; Asset (computer security); Private information retrieval; Financial economics; Economics; Finance; Geography; Computer science; Computer security","score_opus":0.041206373511969874,"score_gpt":0.2803311821959456,"score_spread":0.23912480868397573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123072650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98440206,0.00049847947,0.00014261952,0.0021465388,0.000020450347,0.0000075161406,0.0014818372,0.000010309867,0.011290245],"genre_scores_gemma":[0.9975879,0.00017559645,0.000027585169,0.000054917135,0.0000125257875,0.0000013745195,0.0005312925,0.000003570741,0.0016051849],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996152,0.000035870566,0.000020529367,0.0000790376,0.0001123278,0.00013698866],"domain_scores_gemma":[0.9957794,0.0010171783,0.0015706219,0.0002319039,0.0006160835,0.0007848426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000515629,0.00013419,0.00029669164,0.0006119763,0.0010813753,0.0026067172,0.00042205784,0.0005209449,0.0067704725],"category_scores_gemma":[0.0046826,0.00014208676,0.0001858102,0.001095018,0.00075466087,0.00081808603,0.0007843703,0.00066835416,0.00032977932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005988296,0.00007527459,0.9443064,0.000060188322,0.00019287007,0.0011210754,0.007226099,0.002920559,0.0015163065,0.00902552,0.016601216,0.016355705],"study_design_scores_gemma":[0.000022416238,0.00002271812,0.97973365,0.0000596253,0.000059550974,0.00013956249,0.006175991,0.005361111,0.00055874954,0.00084802,0.0069793225,0.00003919036],"about_ca_topic_score_codex":0.9308647,"about_ca_topic_score_gemma":0.9582159,"teacher_disagreement_score":0.06913531,"about_ca_system_score_codex":0.008702894,"about_ca_system_score_gemma":0.003539924,"threshold_uncertainty_score":0.13908488},"labels":[],"label_agreement":null},{"id":"W3123113900","doi":"","title":"Stock Returns Around Non-Trading Periods: Evidence from an Emerging Market","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Stock (firearms); Financial economics; Stock market; Business; Monetary economics; Economics; Algorithmic trading; Emerging markets; Finance; Geography","score_opus":0.05173165748400403,"score_gpt":0.2487797440832244,"score_spread":0.19704808659922035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123113900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99875283,0.00026382727,0.000106451495,0.000047046447,0.000003544186,0.000003080041,0.00015468807,0.000002330531,0.00066628767],"genre_scores_gemma":[0.99869436,0.0004529957,0.00009577466,0.000015585463,0.000020481508,0.0000020497598,0.0005378795,0.000003200637,0.00017772333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997801,0.000041815336,0.0000374348,0.000048928683,0.00005800708,0.000033685425],"domain_scores_gemma":[0.9874255,0.0051021785,0.00497337,0.0007025877,0.0011117539,0.00068456464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001260933,0.00020050151,0.0003300844,0.0011594329,0.00032454135,0.0011353245,0.0004476983,0.0004594465,0.0020060788],"category_scores_gemma":[0.008608065,0.00017342636,0.00031972775,0.0014965514,0.00045112675,0.0013201036,0.0005136778,0.00064807176,0.00043073812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029714142,0.0005239931,0.9609598,0.000087980334,0.00030727254,0.00063644646,0.00068149844,0.0010696973,0.0030102562,0.0013703492,0.0008759881,0.027505286],"study_design_scores_gemma":[0.0000481531,0.00021274734,0.9967314,0.000011592376,0.00009882174,0.000150427,0.00024077561,0.0010941582,0.00044424392,0.00038498774,0.0005744863,0.000008203231],"about_ca_topic_score_codex":0.005145288,"about_ca_topic_score_gemma":0.006993211,"teacher_disagreement_score":0.005145288,"about_ca_system_score_codex":0.0002438389,"about_ca_system_score_gemma":0.00018142571,"threshold_uncertainty_score":0.01023066},"labels":[],"label_agreement":null},{"id":"W3123132034","doi":"10.1017/s002210901200018x","title":"Idiosyncratic Return Volatility and the Information Quality Underlying Managerial Discretion","year":2012,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Accrual; Volatility (finance); Discretion; Earnings; Earnings quality; Business cycle; Economics; Systematic risk; Econometrics; Earnings management; Monetary economics; Business; Accounting; Macroeconomics","score_opus":0.059076128350976975,"score_gpt":0.2868575120124797,"score_spread":0.22778138366150275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123132034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972887,0.0002736559,0.00081407535,0.00018070758,0.0000039300576,0.000004738163,0.00016711222,0.00000826504,0.0012588707],"genre_scores_gemma":[0.99981195,0.000025752184,0.000041934716,0.000006498033,0.0000066331754,5.1401736e-7,0.000043987333,9.894582e-7,0.00006171368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991879,0.00016465793,0.000114661045,0.00014366583,0.00023372455,0.00015536188],"domain_scores_gemma":[0.95304894,0.019283844,0.021423902,0.0028335233,0.0019590897,0.0014507506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024768643,0.00012780268,0.00028205343,0.0012517703,0.00019254688,0.0017753019,0.0002587055,0.00042924797,0.0011278506],"category_scores_gemma":[0.023843916,0.00019355466,0.00029154847,0.0012078184,0.0007129884,0.00085868867,0.000645273,0.000642545,0.00013345042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030406113,0.000066877816,0.9699888,0.00003203977,0.0002285199,0.00021243289,0.00048254518,0.0076366053,0.0016919757,0.0034618268,0.00030496137,0.01558936],"study_design_scores_gemma":[0.00000845383,0.000054257423,0.9896758,0.000013115892,0.00003251798,0.00010351425,0.00010765144,0.0052952687,0.00045489444,0.00401203,0.0002215797,0.000020921152],"about_ca_topic_score_codex":0.0037052315,"about_ca_topic_score_gemma":0.0036215787,"teacher_disagreement_score":0.0037052315,"about_ca_system_score_codex":0.0009152074,"about_ca_system_score_gemma":0.00029710264,"threshold_uncertainty_score":0.013099074},"labels":[],"label_agreement":null},{"id":"W3123136254","doi":"","title":"Human vs. High-Frequency Traders, Penny Jumping, and Tick Size","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Tick size; High-frequency trading; Order (exchange); Quality (philosophy); Market maker; Business; Economics; Monetary economics; Market liquidity; Finance; Geography; Stock market","score_opus":0.01981081685126391,"score_gpt":0.2256156363204432,"score_spread":0.2058048194691793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123136254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99661046,0.0000920556,0.00045009598,0.00004176426,0.0000030620768,0.000004173696,0.00002962097,0.0000038555822,0.0027648567],"genre_scores_gemma":[0.9991478,0.000030487015,0.00013017032,0.000008433005,0.0000058355813,0.000001750738,0.000028054823,0.000001964992,0.000645548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997336,0.0000737945,0.00001562211,0.00004131411,0.000080810154,0.000054786044],"domain_scores_gemma":[0.9906849,0.00535963,0.0024519053,0.0003472886,0.00024640383,0.00090993044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008381128,0.00012739301,0.00017320228,0.00028614007,0.00015262302,0.001109325,0.00019960977,0.00029207344,0.007174191],"category_scores_gemma":[0.007267813,0.00006778912,0.00010599569,0.0003005576,0.00051610795,0.0008645345,0.00041712268,0.00046591004,0.00054435723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036372961,0.0013062274,0.9028025,0.0001314319,0.0001450333,0.0005372513,0.0009058718,0.010630239,0.016676305,0.007143406,0.0005533548,0.055531055],"study_design_scores_gemma":[0.00003816393,0.0007573748,0.98460776,0.000009628817,0.00004429441,0.00015101326,0.0007485961,0.007101778,0.0020485232,0.0038716728,0.00060432206,0.000016812712],"about_ca_topic_score_codex":0.0010604499,"about_ca_topic_score_gemma":0.001393728,"teacher_disagreement_score":0.007174191,"about_ca_system_score_codex":0.00019931857,"about_ca_system_score_gemma":0.00013239853,"threshold_uncertainty_score":0.024000049},"labels":[],"label_agreement":null},{"id":"W3123154524","doi":"","title":"The Informational dimension of the Amihud (2002) illiquidity measure: Evidence from the M&A market","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Proxy (statistics); Measure (data warehouse); Dimension (graph theory); Economics; Context (archaeology); Metric (unit); Econometrics; Relevance (law); Financial economics; Statistics; Mathematics; Computer science; Political science; Geography","score_opus":0.059654990514941594,"score_gpt":0.2682877095365259,"score_spread":0.2086327190215843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123154524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97198355,0.003530323,0.00781366,0.0019335581,0.000038463935,0.000041086205,0.00051739864,0.000034382218,0.014107562],"genre_scores_gemma":[0.9978109,0.000700524,0.00077504676,0.00012376704,0.00011355812,0.00000808671,0.00017329803,0.0000048912175,0.0002898329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879956,0.00031111215,0.0001335425,0.00017696132,0.00050076505,0.000077910256],"domain_scores_gemma":[0.9173462,0.045868866,0.02977843,0.0026512195,0.0025632863,0.0017919617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029093262,0.00024944005,0.0005107345,0.0029516038,0.0006246935,0.002502063,0.0004736407,0.0008012326,0.0029342347],"category_scores_gemma":[0.029738126,0.00013719991,0.00033018203,0.0022220428,0.0013458169,0.004205731,0.001208997,0.0012101844,0.00030574395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011646094,0.00046933696,0.7609629,0.0005408017,0.00051103876,0.0007956169,0.001976344,0.0049040588,0.003087477,0.09195804,0.004241382,0.12938832],"study_design_scores_gemma":[0.00013071022,0.0009927219,0.8446099,0.0002486728,0.00042553525,0.0014866273,0.0020406856,0.02707178,0.0060104597,0.103104055,0.013692175,0.00018669455],"about_ca_topic_score_codex":0.0016020774,"about_ca_topic_score_gemma":0.0013917887,"teacher_disagreement_score":0.0029516038,"about_ca_system_score_codex":0.00061248103,"about_ca_system_score_gemma":0.00057692424,"threshold_uncertainty_score":0.015386224},"labels":[],"label_agreement":null},{"id":"W3123194747","doi":"10.1016/j.jbankfin.2004.11.005","title":"The dynamics of dealer markets and trading costs","year":2005,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Competition (biology); Business; Market share; Sample (material); Financial economics; Economics; Monetary economics; Finance","score_opus":0.015515066292910242,"score_gpt":0.20927130819316397,"score_spread":0.19375624190025373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123194747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8748824,0.005076589,0.037320513,0.019523082,0.00011402445,0.0000459966,0.0008981506,0.00019281461,0.06194645],"genre_scores_gemma":[0.989874,0.0011999626,0.0011791522,0.00015237507,0.00008852244,0.000013912908,0.000085580206,0.000026924847,0.0073796674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995763,0.0001469751,0.000018820348,0.00007673684,0.00007878739,0.0001024413],"domain_scores_gemma":[0.9843796,0.01188935,0.002292494,0.0003302219,0.0004492474,0.0006591753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016300428,0.00027574404,0.00084317604,0.000873614,0.00069779763,0.0070531475,0.0010758204,0.0034331782,0.01997406],"category_scores_gemma":[0.02444539,0.00086306204,0.00046830933,0.0011339708,0.0018315747,0.012232261,0.0010375308,0.0031935668,0.0010130565],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036367707,0.00018424036,0.015234517,0.00011080951,0.00007590311,0.0005922369,0.00072010123,0.08629725,0.0017510889,0.86481786,0.00862734,0.021224907],"study_design_scores_gemma":[0.00014245356,0.00005068248,0.016514083,0.000047328744,0.00006524313,0.00043210248,0.00068055134,0.30578595,0.00041090744,0.6707107,0.0050722905,0.000087768785],"about_ca_topic_score_codex":0.00417006,"about_ca_topic_score_gemma":0.0035626516,"teacher_disagreement_score":0.01997406,"about_ca_system_score_codex":0.0017848791,"about_ca_system_score_gemma":0.00074046187,"threshold_uncertainty_score":0.06681985},"labels":[],"label_agreement":null},{"id":"W3123197064","doi":"10.1108/mf-01-2017-0003","title":"Portfolio turnover activity and mutual fund performance","year":2018,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; York University; Université de Sherbrooke","funders":"","keywords":"Portfolio; Econometrics; Predictability; Volatility (finance); Churning; Mutual fund; Economics; Active management; Actuarial science; Financial economics; Project portfolio management; Statistics; Mathematics; Finance","score_opus":0.02981503031115779,"score_gpt":0.21369434860058206,"score_spread":0.18387931828942428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123197064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889072,0.0018223717,0.0028887962,0.0006222189,0.00003595108,0.000016890153,0.0003257574,0.00003183662,0.0053490126],"genre_scores_gemma":[0.9986364,0.00020476288,0.00043285778,0.00003713072,0.00006555965,0.0000057225648,0.0001695866,0.0000022621086,0.00044557333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932265,0.00019043041,0.00008960654,0.000086334745,0.00024220339,0.00006878567],"domain_scores_gemma":[0.9853189,0.003046425,0.009733348,0.00043573917,0.00082752114,0.0006381058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001293097,0.0002935757,0.00023105463,0.0013008714,0.0002172277,0.0016155113,0.00036365056,0.00038277803,0.0012992981],"category_scores_gemma":[0.011705756,0.00009025267,0.00028045956,0.0013810897,0.0003517195,0.0009865288,0.00086159044,0.00063238456,0.00027099956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013428874,0.000071057606,0.96749204,0.000056922036,0.00010303927,0.00008683001,0.00016267064,0.0022639302,0.00030981033,0.0015325714,0.0004909015,0.027296046],"study_design_scores_gemma":[0.000013269605,0.00024015816,0.98358756,0.00009222992,0.00006509391,0.00036057614,0.00028715906,0.010149318,0.00071591977,0.002505291,0.001961188,0.000022311044],"about_ca_topic_score_codex":0.0013464129,"about_ca_topic_score_gemma":0.0010374577,"teacher_disagreement_score":0.0016155113,"about_ca_system_score_codex":0.00065667415,"about_ca_system_score_gemma":0.00025558646,"threshold_uncertainty_score":0.0068386197},"labels":[],"label_agreement":null},{"id":"W3123214621","doi":"10.2139/ssrn.3158727","title":"Substitute Hedging with Cross Price Impact","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Financial economics; Econometrics; Monetary economics","score_opus":0.014683817374985898,"score_gpt":0.2408626498644998,"score_spread":0.2261788324895139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123214621","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2894871,0.0030429037,0.65633434,0.0013286421,0.0018887307,0.00015937009,0.00034128307,0.0007339289,0.046683736],"genre_scores_gemma":[0.9508716,0.0005565429,0.026441878,0.00017374543,0.00034360675,0.000030611525,0.00021497032,0.00011183741,0.02125531],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991235,0.00021184709,0.00006906642,0.00018397399,0.00028173733,0.00012985768],"domain_scores_gemma":[0.9965815,0.00143307,0.00027903312,0.001041878,0.00047227085,0.00019228045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023873965,0.0010298854,0.001458102,0.0011389999,0.0003929851,0.0030905982,0.0016399036,0.002039805,0.011642257],"category_scores_gemma":[0.009404074,0.00058871985,0.001046134,0.0013032027,0.0009747694,0.0047556967,0.0017290118,0.0019816011,0.00080093986],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001196212,0.0004898256,0.011685191,0.0005090736,0.00041723956,0.0016532949,0.00025084667,0.25465915,0.009573854,0.48071298,0.0057374113,0.23311493],"study_design_scores_gemma":[0.000076213844,0.00020700425,0.0027748046,0.000033184766,0.00014119141,0.00041766345,0.000049351496,0.8637291,0.0033585352,0.12574305,0.0034239974,0.0000458611],"about_ca_topic_score_codex":0.0007417271,"about_ca_topic_score_gemma":0.0007312814,"teacher_disagreement_score":0.011642257,"about_ca_system_score_codex":0.0005017926,"about_ca_system_score_gemma":0.00063091354,"threshold_uncertainty_score":0.038947225},"labels":[],"label_agreement":null},{"id":"W3123218486","doi":"10.1007/s40953-023-00368-5","title":"Unifying Portfolio Diversification Measures Using Rao’s Quadratic Entropy","year":2023,"lang":"en","type":"article","venue":"Journal of Quantitative Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"","keywords":"Diversification (marketing strategy); Portfolio; Portfolio optimization; Post-modern portfolio theory; Economics; Modern portfolio theory; Econometrics; Rate of return on a portfolio; Replicating portfolio; Quadratic equation; Entropy (arrow of time); Mathematics; Financial economics; Actuarial science; Business; Physics","score_opus":0.17135816081520264,"score_gpt":0.29333002487164567,"score_spread":0.12197186405644303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123218486","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09113941,0.000967393,0.90446734,0.0002140548,0.000052795804,0.000041922827,0.000065471126,0.000117259566,0.002934344],"genre_scores_gemma":[0.8926986,0.0007746809,0.103755005,0.000089048255,0.00023369824,0.000064999964,0.0001789028,0.000088895526,0.0021161379],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99864084,0.0006466876,0.000119435834,0.00017643612,0.000297664,0.00011902206],"domain_scores_gemma":[0.9918034,0.0054920055,0.00079692755,0.0009261155,0.0007036494,0.00027794618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060663708,0.00086263695,0.0012776775,0.0033286393,0.00042221497,0.0020803013,0.000739684,0.0008508263,0.0011236297],"category_scores_gemma":[0.013797895,0.00045976718,0.001132117,0.0016729787,0.0011186374,0.005546623,0.002135644,0.001365405,0.00018578184],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019818652,0.0001264436,0.011457615,0.0001627701,0.00032942707,0.00016436979,0.0002661373,0.22407311,0.006238715,0.59271353,0.0011994095,0.16307026],"study_design_scores_gemma":[0.000012711644,0.00011551594,0.0034996204,0.000025221652,0.000046348905,0.000072574556,0.000032972566,0.8306254,0.0011370806,0.16351636,0.00088347483,0.00003271416],"about_ca_topic_score_codex":0.00067015697,"about_ca_topic_score_gemma":0.0005858749,"teacher_disagreement_score":0.0060663708,"about_ca_system_score_codex":0.00067556853,"about_ca_system_score_gemma":0.00058211386,"threshold_uncertainty_score":0.03208238},"labels":[],"label_agreement":null},{"id":"W3123227558","doi":"10.1016/j.finmar.2018.12.006","title":"Nominal stock price anchors: A global phenomenon?","year":2018,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Stock (firearms); Cost price; Phenomenon; Stock price; Monetary economics; Exploit; Stock market bubble; Financial economics; Econometrics; Stock market; Geography","score_opus":0.023042712139976565,"score_gpt":0.23430245143714157,"score_spread":0.21125973929716502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123227558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8090733,0.0046858755,0.0066635357,0.017119579,0.00063660264,0.000018027864,0.0020485488,0.00040532943,0.1593493],"genre_scores_gemma":[0.9970578,0.00085144903,0.00034770474,0.00028668754,0.0001790708,0.0000028656643,0.00023469332,0.000040689643,0.0009990063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996623,0.00006860377,0.000025793011,0.00008943931,0.00010287121,0.000051064853],"domain_scores_gemma":[0.9945978,0.001267945,0.0021179498,0.00085298164,0.00086833816,0.00029493665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012044527,0.00014538254,0.00032786833,0.0014561552,0.0004399293,0.0033293418,0.000454123,0.0008573144,0.011853137],"category_scores_gemma":[0.012400861,0.00015615438,0.00014726807,0.003379873,0.0014669591,0.0043004863,0.0016873594,0.00112007,0.0013681477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073444145,0.00010404115,0.378848,0.00039520778,0.00035870157,0.0022588058,0.013125421,0.0027912925,0.0056649437,0.25116464,0.05321001,0.2913445],"study_design_scores_gemma":[0.000060200568,0.00013551654,0.73284054,0.0004038914,0.00017548134,0.0013497187,0.0128494045,0.0031759162,0.002107912,0.098651245,0.14814174,0.00010856635],"about_ca_topic_score_codex":0.0023033363,"about_ca_topic_score_gemma":0.002313324,"teacher_disagreement_score":0.011853137,"about_ca_system_score_codex":0.00043981613,"about_ca_system_score_gemma":0.00027661773,"threshold_uncertainty_score":0.039652646},"labels":[],"label_agreement":null},{"id":"W3123236663","doi":"10.1111/j.1468-2443.2006.00052.x","title":"Order Flow Patterns around Seasoned Equity Offerings and their Implications for Stock Price Movements<sup>*</sup>","year":2005,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Equity (law); Portfolio; Liberian dollar; Business; Stock (firearms); Order (exchange); Monetary economics; Stock price; Financial economics; Economics; Finance","score_opus":0.04459883243074674,"score_gpt":0.28923413140133697,"score_spread":0.24463529897059022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123236663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977531,0.00009703468,0.0003611873,0.000061152394,0.000008431101,0.00000815062,0.00031200648,0.000010150248,0.0013887658],"genre_scores_gemma":[0.99905056,0.00006085613,0.00017162894,0.000012074908,0.000023003591,0.0000042904476,0.0002856278,0.0000038995813,0.00038813584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978703,0.000036080957,0.000028504033,0.000034662502,0.00007985574,0.00003387059],"domain_scores_gemma":[0.9872421,0.004062044,0.007025788,0.00038233047,0.00078402064,0.00050371815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007201912,0.000080196376,0.00018246906,0.00096707663,0.00015877848,0.0010909624,0.00014718961,0.00021939499,0.0037333057],"category_scores_gemma":[0.008368004,0.00007689126,0.0001195018,0.0013049422,0.0002096241,0.0005283009,0.0003192666,0.0002782739,0.0004335358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009751066,0.00018367723,0.96051073,0.00005151372,0.000071093746,0.00031193427,0.0007094518,0.002504311,0.0062468573,0.0018019564,0.001193621,0.02543975],"study_design_scores_gemma":[0.000007661981,0.00006926477,0.99239177,0.000008888122,0.00001582232,0.00007948662,0.00041063703,0.0046021543,0.0005777794,0.001111878,0.0007160506,0.000008641445],"about_ca_topic_score_codex":0.0023712881,"about_ca_topic_score_gemma":0.0039747967,"teacher_disagreement_score":0.0037333057,"about_ca_system_score_codex":0.00034503193,"about_ca_system_score_gemma":0.00014437904,"threshold_uncertainty_score":0.01248914},"labels":[],"label_agreement":null},{"id":"W3123248998","doi":"","title":"The Emergence of Concentrated Ownership and the Rebalancing of Portfolios due to Shareholder Activism in a Financial Market Equilibrium","year":2000,"lang":"en","type":"preprint","venue":"The Faculty Digital Archive (New York University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Churning; Shareholder; Affect (linguistics); Portfolio; Value (mathematics); Monetary economics; Financial market; Business; Economics; Financial economics; Finance; Corporate governance; Labour economics","score_opus":0.034335899805411324,"score_gpt":0.2011749520836909,"score_spread":0.16683905227827958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123248998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8843966,0.00039553674,0.079310454,0.002598035,0.000046835037,0.000053963788,0.000097067306,0.00011388607,0.032987684],"genre_scores_gemma":[0.9927263,0.00014441644,0.0030498886,0.00011351851,0.000039034083,0.00004363284,0.000021007505,0.000011765591,0.003850361],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994072,0.0001813002,0.000024659374,0.00009095158,0.00007747944,0.00021848425],"domain_scores_gemma":[0.99601233,0.0015014822,0.0013548717,0.00023296353,0.00020516007,0.00069320877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001379415,0.00044627005,0.0008104854,0.0006297757,0.0010834024,0.0023400523,0.0008866146,0.0022498395,0.0055167717],"category_scores_gemma":[0.007091908,0.00048705025,0.00070807984,0.00035830511,0.00314181,0.0031177239,0.0023024082,0.0012236392,0.00033547118],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023138266,0.0001937614,0.0050884536,0.00011954757,0.00007818193,0.0021936684,0.0007781885,0.06024491,0.010257678,0.90514475,0.0024061564,0.013263362],"study_design_scores_gemma":[0.00022324664,0.00022190726,0.0046724896,0.000048805257,0.000045231467,0.00050569396,0.00051328464,0.26547194,0.0022912193,0.7233458,0.0025953262,0.00006498564],"about_ca_topic_score_codex":0.0014452023,"about_ca_topic_score_gemma":0.00094066106,"teacher_disagreement_score":0.0055167717,"about_ca_system_score_codex":0.0010976206,"about_ca_system_score_gemma":0.0006400769,"threshold_uncertainty_score":0.018455446},"labels":[],"label_agreement":null},{"id":"W3123254760","doi":"10.3390/jrfm4010043","title":"A Pseudo-Bayesian Model for Stock Returns In Financial Crises","year":2011,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial crisis; Economics; Volatility (finance); Bayesian probability; Stock (firearms); Financial market; Financial economics; Stock market; Econometrics; Heuristics; Finance; Macroeconomics; Computer science","score_opus":0.042726086058710415,"score_gpt":0.22148145858184984,"score_spread":0.17875537252313942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123254760","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.121973306,0.0011602,0.8595846,0.0042540105,0.00015667407,0.00020210844,0.0016186673,0.000538293,0.010512227],"genre_scores_gemma":[0.9131009,0.0013870317,0.066230014,0.0006487964,0.00027140023,0.00051572366,0.001089934,0.000117714786,0.016638517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982389,0.0008550697,0.00007544341,0.0003369197,0.00027367176,0.0002199396],"domain_scores_gemma":[0.9924936,0.0052734213,0.00092204707,0.00026472702,0.0007581204,0.00028806363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004681576,0.001361857,0.0020871607,0.0015126689,0.0007031819,0.0026268635,0.0037204432,0.004082841,0.006345184],"category_scores_gemma":[0.016429888,0.0012386958,0.001413153,0.0015073265,0.0020001754,0.0037699386,0.0015543744,0.0028598758,0.0013754101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025084798,0.000082156475,0.0036108005,0.000103139726,0.0001063774,0.00035310874,0.00026577857,0.7800141,0.00083701435,0.19664976,0.0024597186,0.01526705],"study_design_scores_gemma":[0.000040951352,0.0000221342,0.00065465993,0.000012512097,0.000016610174,0.000043892385,0.000016993115,0.9549568,0.000055307508,0.04369091,0.00046514356,0.00002411326],"about_ca_topic_score_codex":0.01713018,"about_ca_topic_score_gemma":0.011553128,"teacher_disagreement_score":0.01713018,"about_ca_system_score_codex":0.0019267034,"about_ca_system_score_gemma":0.0013884902,"threshold_uncertainty_score":0.034060895},"labels":[],"label_agreement":null},{"id":"W3123262756","doi":"","title":"Canadian Consumption and Portfolio Shares","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Portfolio; Consumption (sociology); Capital asset pricing model; Asset (computer security); Business; Financial economics; Aggregate (composite); Empirical research; Investment (military); Economics","score_opus":0.01822827761844012,"score_gpt":0.20565799496064227,"score_spread":0.18742971734220215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123262756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6820602,0.0011361166,0.0010077882,0.00074364693,0.000023413771,0.00006736761,0.08165751,0.000113783346,0.2331902],"genre_scores_gemma":[0.9386354,0.0010333238,0.00071104115,0.000061939674,0.000010743186,0.000024370818,0.019537045,0.000025279316,0.039960824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995833,0.00001539967,0.000013410175,0.000060968243,0.00024797957,0.0000788847],"domain_scores_gemma":[0.999008,0.00007519176,0.00015525676,0.0000754705,0.0005967732,0.00008925037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024222706,0.0003031612,0.0001918556,0.0027720027,0.0009867629,0.0016750277,0.00033450112,0.00019192074,0.014232169],"category_scores_gemma":[0.0021865477,0.000100107995,0.0002432892,0.007917922,0.0002806136,0.00046746572,0.00041744288,0.00020150654,0.0008659607],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024653703,0.00006123796,0.70498455,0.00021099258,0.00021796275,0.00025744012,0.0043663657,0.0064160367,0.0016318267,0.056629807,0.04720361,0.17777368],"study_design_scores_gemma":[0.0000059726935,0.000014924068,0.88398796,0.00004568912,0.000039858434,0.00010590609,0.0012588383,0.0018676029,0.0008092097,0.0014871962,0.110341266,0.00003553487],"about_ca_topic_score_codex":0.9506134,"about_ca_topic_score_gemma":0.9647384,"teacher_disagreement_score":0.04938662,"about_ca_system_score_codex":0.015914582,"about_ca_system_score_gemma":0.00559246,"threshold_uncertainty_score":0.11546892},"labels":[],"label_agreement":null},{"id":"W3123271933","doi":"","title":"Myopic Loss Aversion: Information Feedback vs. Investment Flexibility","year":2004,"lang":"en","type":"preprint","venue":"Tilburg University Research Portal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Loss aversion; Flexibility (engineering); Investment (military); Economics; Microeconomics; Information loss; Negative information; Computer science; Psychology; Cognitive psychology","score_opus":0.0757897056205999,"score_gpt":0.272501361546424,"score_spread":0.19671165592582412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123271933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933234,0.000056947498,0.0033009283,0.00014881826,0.000019364272,0.000029161873,0.00005884897,0.00003542762,0.0030271644],"genre_scores_gemma":[0.9980818,0.00003416875,0.0011261598,0.0000733582,0.000007281977,0.000028912153,0.000021766522,0.000009655448,0.00061690493],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99917346,0.00024450198,0.000077107106,0.0001642304,0.00023014442,0.00011063827],"domain_scores_gemma":[0.9909224,0.005364876,0.0017122254,0.0011858706,0.0001766139,0.00063800864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013781191,0.0006577559,0.00051529246,0.00028194077,0.00016547249,0.0011492075,0.0003712037,0.00092798384,0.0055039474],"category_scores_gemma":[0.011151946,0.00027101632,0.00022111113,0.00022073367,0.0005527457,0.00089253223,0.0010556077,0.0011434294,0.00031299546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014556902,0.0070678503,0.044183765,0.0009769808,0.00045917422,0.0009511371,0.0012227807,0.035030674,0.7802922,0.034270544,0.0018013591,0.079186745],"study_design_scores_gemma":[0.0038055955,0.027535135,0.22652856,0.00037410253,0.0009373828,0.0017282775,0.0011234742,0.27498332,0.33267137,0.12228033,0.0076269233,0.00040555865],"about_ca_topic_score_codex":0.00022057818,"about_ca_topic_score_gemma":0.00020435643,"teacher_disagreement_score":0.0055039474,"about_ca_system_score_codex":0.00032803713,"about_ca_system_score_gemma":0.0003566558,"threshold_uncertainty_score":0.01841253},"labels":[],"label_agreement":null},{"id":"W3123288978","doi":"10.17578/19-3-2","title":"Idiosyncratic Volatility, Momentum, Liquidity, and Expected Stock Returns in Developed and Emerging Markets","year":2015,"lang":"en","type":"article","venue":"Multinational Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Emerging markets; Stock (firearms); Market liquidity; Volatility (finance); Systematic risk; Economics; Financial economics; Volatility risk; Econometrics; Monetary economics; Implied volatility; Volatility risk premium; Finance","score_opus":0.05909733739528793,"score_gpt":0.26170291091384923,"score_spread":0.2026055735185613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123288978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987877,0.00023538858,0.00040176773,0.00003758671,0.0000014696298,0.0000024043072,0.000053002117,0.0000023428179,0.00047831878],"genre_scores_gemma":[0.99961275,0.000119453834,0.00006889559,0.0000058538462,0.0000056381914,0.0000010943775,0.00010357308,7.265472e-7,0.00008204995],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979347,0.00005353197,0.000024810373,0.000036682184,0.00004335118,0.0000481816],"domain_scores_gemma":[0.9951833,0.0017077621,0.0022276826,0.00020657736,0.0002556201,0.00041899894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012272665,0.00026666696,0.0003022588,0.0013394948,0.0002099205,0.0012091041,0.00021458288,0.000302756,0.00055086514],"category_scores_gemma":[0.0062237456,0.00012985017,0.00038719492,0.0011496667,0.00048478393,0.0014828714,0.000715075,0.0004856495,0.00007777834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008955775,0.000044757548,0.9909937,0.0000118141215,0.000119188866,0.00026186655,0.00013721918,0.0021593156,0.00032527934,0.0012334719,0.00008274188,0.004541123],"study_design_scores_gemma":[0.000007709853,0.00005438579,0.9907286,0.000008172333,0.000034441477,0.00016200345,0.00015643096,0.006644108,0.00022882779,0.0017999144,0.00016786483,0.000007516201],"about_ca_topic_score_codex":0.0033474267,"about_ca_topic_score_gemma":0.0052411407,"teacher_disagreement_score":0.0033474267,"about_ca_system_score_codex":0.00038299648,"about_ca_system_score_gemma":0.00028901506,"threshold_uncertainty_score":0.006655872},"labels":[],"label_agreement":null},{"id":"W3123294114","doi":"","title":"Do Demand Curves for Small Stocks Slope Down","year":2003,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Economics; Stock (firearms); Econometrics; Index (typography); Financial economics; Context (archaeology); Stock price; Monetary economics; Geography; Computer science; Geology; Series (stratigraphy)","score_opus":0.04896269598910798,"score_gpt":0.22362174709512567,"score_spread":0.1746590511060177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123294114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710652,0.0006205835,0.0024895396,0.0019788456,0.00006448921,0.000029383376,0.0012614212,0.00011370974,0.022376826],"genre_scores_gemma":[0.9962334,0.00033601237,0.00024240522,0.0003611545,0.000045208395,0.000007762354,0.0007574437,0.00004058596,0.0019760996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996722,0.00003981452,0.000027560674,0.00009154087,0.00008157645,0.00008737441],"domain_scores_gemma":[0.99181306,0.0038148703,0.00197441,0.00082428305,0.0010320046,0.0005414131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071339926,0.000263603,0.0004335046,0.0013005207,0.0001699492,0.0019850612,0.00044081168,0.0013775345,0.013579562],"category_scores_gemma":[0.016691683,0.0005330947,0.0006604396,0.00085030316,0.0004830028,0.0027763455,0.0005588868,0.0010470488,0.007180909],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013269744,0.00029241905,0.8110705,0.0003280227,0.00026923418,0.0004290247,0.0014852956,0.009067092,0.020689633,0.015081567,0.009714849,0.13024539],"study_design_scores_gemma":[0.00009515006,0.00025570136,0.9568059,0.00006027975,0.00009393326,0.00036459693,0.001588244,0.016751014,0.0028769781,0.01332372,0.00772243,0.00006197038],"about_ca_topic_score_codex":0.0072589177,"about_ca_topic_score_gemma":0.0045537334,"teacher_disagreement_score":0.013579562,"about_ca_system_score_codex":0.0006835232,"about_ca_system_score_gemma":0.00034252717,"threshold_uncertainty_score":0.045428216},"labels":[],"label_agreement":null},{"id":"W3123301809","doi":"10.1016/j.chieco.2009.12.004","title":"Stock return seasonalities and investor structure: Evidence from China's B-share markets","year":2010,"lang":"en","type":"article","venue":"China Economic Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Alexander von Humboldt-Stiftung; World Bank Group","keywords":"Institutional investor; Stock (firearms); Economics; Financial economics; Spillover effect; China; Stock market; Monetary economics; Corporate governance; Finance; Macroeconomics","score_opus":0.032946671318629155,"score_gpt":0.2381419294565446,"score_spread":0.20519525813791545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123301809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98954916,0.0073914044,0.00008857984,0.000286985,0.000013428818,0.000010162826,0.0006183504,0.000004547022,0.0020373084],"genre_scores_gemma":[0.9927355,0.0056950045,0.000060115588,0.00006146581,0.00004608325,0.0000031853044,0.0008591933,0.0000021406795,0.0005373631],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980515,0.000026265481,0.000024852674,0.000032414,0.000071967384,0.000039241106],"domain_scores_gemma":[0.99692,0.00074038986,0.0013593636,0.00013079193,0.0006243341,0.00022529098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010281134,0.00025237218,0.0003166177,0.0020792463,0.0002661714,0.0007452161,0.00030381078,0.00025427734,0.0017402595],"category_scores_gemma":[0.0027786884,0.00014485257,0.00032796332,0.003211904,0.00035973475,0.0006331767,0.000296817,0.00020058776,0.00016224448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023769012,0.000046780715,0.95854986,0.00022554024,0.00031003208,0.00026701367,0.00035109403,0.00044267465,0.0007917906,0.0007826723,0.0020113774,0.035983387],"study_design_scores_gemma":[0.000009619082,0.000027472393,0.9982944,0.000012992941,0.00010839595,0.00003016622,0.00009254592,0.0002515942,0.00009125487,0.00010090634,0.0009767767,0.0000038798166],"about_ca_topic_score_codex":0.05684374,"about_ca_topic_score_gemma":0.06773167,"teacher_disagreement_score":0.05684374,"about_ca_system_score_codex":0.00055401423,"about_ca_system_score_gemma":0.0009900994,"threshold_uncertainty_score":0.113025725},"labels":[],"label_agreement":null},{"id":"W3123310119","doi":"","title":"Canadian Stock Splits And Financial Analyst Forecasts: Testing Signaling And Attention Effects","year":2007,"lang":"en","type":"article","venue":"The international journal of business and finance research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Stock (firearms); Stock market; Economics; Efficient-market hypothesis; Financial market; Financial economics; Monetary economics; Econometrics; Finance; Biology","score_opus":0.060688200318641174,"score_gpt":0.2827283420406109,"score_spread":0.22204014172196976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123310119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968303,0.00018331749,0.00014415139,0.0002407522,0.000011536362,0.000013527448,0.00042968438,0.000008539249,0.0021382908],"genre_scores_gemma":[0.99857306,0.00011281587,0.00009424645,0.000028656232,0.000016273852,0.0000039935217,0.00047270744,0.0000022461654,0.0006959468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876934,0.00015993288,0.00004987085,0.00016343946,0.00059817097,0.00025921816],"domain_scores_gemma":[0.98134184,0.007949869,0.0056944466,0.0005988615,0.0029762522,0.0014387686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020913112,0.0005265955,0.00040632454,0.0013915865,0.000902475,0.0010570121,0.0006115373,0.0006652517,0.002830502],"category_scores_gemma":[0.017323604,0.0002063595,0.0005531086,0.0015744038,0.0006031601,0.0006446163,0.0005241565,0.00070111157,0.00021277979],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008863515,0.00010730219,0.98269516,0.000035321627,0.00019230621,0.00011563847,0.000664854,0.0014544531,0.00082351436,0.0004964289,0.0008889817,0.011639682],"study_design_scores_gemma":[0.000018226036,0.00009423051,0.9942425,0.0000057765037,0.000091788104,0.000017727521,0.00033012108,0.004204523,0.00036643533,0.00007864084,0.0005323506,0.000017688748],"about_ca_topic_score_codex":0.8938537,"about_ca_topic_score_gemma":0.85168546,"teacher_disagreement_score":0.106146276,"about_ca_system_score_codex":0.0065118414,"about_ca_system_score_gemma":0.0069879545,"threshold_uncertainty_score":0.21354276},"labels":[],"label_agreement":null},{"id":"W3123322176","doi":"10.1016/j.bar.2015.11.001","title":"Liquidity and market efficiency in the world's largest carbon market","year":2015,"lang":"en","type":"article","venue":"The British Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":97,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Government of Canada","keywords":"Market liquidity; Predictability; Emissions trading; Market efficiency; Futures contract; Carbon market; Monetary economics; Business; Order (exchange); Market impact; Economics; Financial economics; Market microstructure; Finance; Climate change; Mathematics","score_opus":0.032479551715796494,"score_gpt":0.23218004712840293,"score_spread":0.19970049541260643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123322176","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17321603,0.73346394,0.0009921385,0.057973646,0.0009966535,0.000008731576,0.00047024438,0.000043281176,0.032835282],"genre_scores_gemma":[0.8423444,0.15124545,0.00033030714,0.0011617817,0.0018367125,0.0000053270346,0.00023729261,0.000024448802,0.0028142144],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993273,0.00020103717,0.00006916396,0.00005472018,0.00024159202,0.00010615699],"domain_scores_gemma":[0.9933488,0.0034237565,0.0013971237,0.00012947556,0.001442563,0.0002583203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021430044,0.00019824429,0.0003317916,0.003183971,0.0004632785,0.0038777185,0.00026624883,0.0011881877,0.0017082747],"category_scores_gemma":[0.0101869805,0.00012299328,0.00020116311,0.0044588386,0.0013106301,0.0031572927,0.0003938263,0.0009915673,0.00019345779],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011299165,0.00013130902,0.06906847,0.0028170412,0.0005096446,0.00061881024,0.0010077519,0.018338228,0.002342823,0.33758396,0.13225186,0.43420014],"study_design_scores_gemma":[0.00015855611,0.00016216515,0.40908217,0.0035578127,0.0005116712,0.0005486491,0.0018077964,0.015889907,0.0019102333,0.25005433,0.31608889,0.0002278401],"about_ca_topic_score_codex":0.031866726,"about_ca_topic_score_gemma":0.045443505,"teacher_disagreement_score":0.031866726,"about_ca_system_score_codex":0.0029900742,"about_ca_system_score_gemma":0.002583622,"threshold_uncertainty_score":0.06336248},"labels":[],"label_agreement":null},{"id":"W3123332543","doi":"10.1287/mnsc.1120.1676","title":"Asset-Pricing Implications of Dividend Volatility","year":2013,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Volatility (finance); Dividend; Economics; Financial economics; Portfolio; Econometrics; Volatility swap; Capital asset pricing model; Volatility risk premium; Dividend yield; Volatility smile; Implied volatility; Dividend policy; Finance","score_opus":0.03494632112867985,"score_gpt":0.23187757888949562,"score_spread":0.19693125776081577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123332543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91153336,0.0022932785,0.06289882,0.0066548917,0.00009759163,0.000015823765,0.00021873844,0.00010305272,0.016184425],"genre_scores_gemma":[0.9989201,0.00021146529,0.0004740224,0.000037298407,0.000035718884,0.0000018525756,0.000019067593,0.0000033650972,0.00029713623],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997867,0.00006237386,0.000011926509,0.000045242436,0.00005336946,0.000040462037],"domain_scores_gemma":[0.99757344,0.0014527782,0.0004507765,0.0001466286,0.00018159165,0.0001947228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077431335,0.00026645017,0.00041372096,0.0004744534,0.00036446567,0.0017938671,0.0004909596,0.0006797373,0.0014883314],"category_scores_gemma":[0.008923892,0.00021661427,0.00032298936,0.00051437283,0.0008991195,0.002010873,0.0009315658,0.0011571248,0.000085614025],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011960251,0.000083191975,0.04460078,0.00005549709,0.000097257944,0.0008043567,0.0004508309,0.25099522,0.0031362346,0.66804653,0.0015243518,0.030086203],"study_design_scores_gemma":[0.000014759983,0.000029449628,0.015961634,0.000016849244,0.000023964649,0.0001396237,0.00010474988,0.41852155,0.0005623337,0.5637108,0.0008890003,0.000025242287],"about_ca_topic_score_codex":0.0032817584,"about_ca_topic_score_gemma":0.001946218,"teacher_disagreement_score":0.0032817584,"about_ca_system_score_codex":0.00085172954,"about_ca_system_score_gemma":0.00041746837,"threshold_uncertainty_score":0.0065253377},"labels":[],"label_agreement":null},{"id":"W3123339522","doi":"","title":"Seasoned public offerings: Resolution of the \"new issues puzzle\"","year":2014,"lang":"en","type":"article","venue":"BIBSYS Brage (BIBSYS (Norway))","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":551,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Dartmouth College","keywords":"Issuer; Equity (law); Monetary economics; Business; Debt; Stock (firearms); Market liquidity; Leverage (statistics); Common stock; Systematic risk; Economics; Financial economics; Finance","score_opus":0.03164957218281553,"score_gpt":0.20774753935668225,"score_spread":0.17609796717386672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123339522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9370154,0.0030927549,0.0073300726,0.013731473,0.00040132247,0.000048656468,0.0010746161,0.00018041144,0.03712525],"genre_scores_gemma":[0.99316823,0.000476323,0.00052739185,0.00042954256,0.0005460352,0.000005760107,0.00027567198,0.00002571937,0.0045452747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993358,0.00017735783,0.000045267472,0.00014602656,0.00015953173,0.00013592842],"domain_scores_gemma":[0.9816285,0.005817631,0.009577191,0.0012875125,0.00065882795,0.0010303867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023348504,0.00025532488,0.00072367484,0.0007398637,0.0006188352,0.0032908532,0.00085743284,0.0012801772,0.013278297],"category_scores_gemma":[0.017632069,0.00026196043,0.0004360627,0.0009948986,0.0010400529,0.0042567817,0.0013784893,0.0018007512,0.00061360875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033378478,0.001249654,0.44564378,0.0006242171,0.00063803646,0.003900959,0.0025389846,0.018308623,0.0035630101,0.16090356,0.07067784,0.28861347],"study_design_scores_gemma":[0.0007163663,0.0007582072,0.6218485,0.00028265538,0.00063249853,0.0011398321,0.0049536563,0.09269472,0.0036506692,0.20923746,0.06389599,0.000189321],"about_ca_topic_score_codex":0.008371067,"about_ca_topic_score_gemma":0.009634907,"teacher_disagreement_score":0.013278297,"about_ca_system_score_codex":0.0009918819,"about_ca_system_score_gemma":0.0008631977,"threshold_uncertainty_score":0.04442036},"labels":[],"label_agreement":null},{"id":"W3123385129","doi":"","title":"Insider Trading and Voluntary Disclosure","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Insider trading; Market liquidity; Business; Asset (computer security); Order (exchange); Insider; Monetary economics; Information asymmetry; Financial economics; Finance; Economics; Computer security; Computer science","score_opus":0.013239709093437288,"score_gpt":0.19761747148415437,"score_spread":0.18437776239071707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123385129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70044136,0.0024256518,0.21552819,0.010592579,0.0001919695,0.0002782006,0.0008869023,0.00027826283,0.069376945],"genre_scores_gemma":[0.988976,0.00031414634,0.003597128,0.00017872057,0.00008609021,0.00006303951,0.00006749183,0.0000088619645,0.0067085535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9974239,0.001065745,0.000110535584,0.0003944289,0.00043755505,0.0005678552],"domain_scores_gemma":[0.9866398,0.0074830013,0.0035174754,0.0012006327,0.0004835941,0.0006754261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029985984,0.0007851578,0.0013600646,0.00063974113,0.0009845556,0.0037003518,0.0020925596,0.00501275,0.0058489568],"category_scores_gemma":[0.012259173,0.0005772004,0.0009154964,0.00079789694,0.0024197958,0.004551529,0.001569413,0.0022363022,0.0005689551],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040991826,0.0003784245,0.007723353,0.00018820594,0.00011180746,0.00221854,0.0008960533,0.12256464,0.00346927,0.8449948,0.0029115945,0.014133403],"study_design_scores_gemma":[0.00031431374,0.00024352087,0.0028202091,0.00008801583,0.00007339593,0.000877738,0.00040793448,0.45142484,0.0011029383,0.5372272,0.0053244787,0.00009547643],"about_ca_topic_score_codex":0.0024759574,"about_ca_topic_score_gemma":0.001366386,"teacher_disagreement_score":0.0058489568,"about_ca_system_score_codex":0.0013974727,"about_ca_system_score_gemma":0.0011730694,"threshold_uncertainty_score":0.019566655},"labels":[],"label_agreement":null},{"id":"W3123386884","doi":"10.1016/j.cjar.2015.08.001","title":"Can media exposure improve stock price efficiency in China and why?","year":2015,"lang":"en","type":"article","venue":"China Journal of Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Fudan University; National Natural Science Foundation of China; City University of Hong Kong","keywords":"Synchronicity; China; Stock (firearms); Newspaper; Stock price; Stock market; Media coverage; Corporate governance; Business; Economics; Financial economics; Commercialization; Monetary economics; Econometrics; Finance; Advertising; Marketing; Geography","score_opus":0.05506844536521588,"score_gpt":0.28327515332615927,"score_spread":0.2282067079609434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123386884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994023,0.000688333,0.000118737946,0.0008771229,0.000020657504,0.000014109743,0.00016959495,0.000014395718,0.004073986],"genre_scores_gemma":[0.99911386,0.00029682083,0.00004056025,0.00006489574,0.000024709168,0.0000023428968,0.000047002675,0.0000017732975,0.0004080189],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995597,0.000114607385,0.000035297737,0.000067023975,0.0000874466,0.0001358938],"domain_scores_gemma":[0.99770194,0.00051382463,0.0010303942,0.00013787192,0.00034578392,0.0002703482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086263777,0.0002969571,0.00021246557,0.0014137392,0.00044549012,0.0014132902,0.00030615405,0.0003664081,0.0028031801],"category_scores_gemma":[0.004526992,0.00014454144,0.0003479364,0.0012615944,0.0006759971,0.0012300103,0.0007410379,0.00027111842,0.00021834987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018302734,0.000101570884,0.9570027,0.000118611664,0.00013664193,0.00055586844,0.0017458788,0.000648253,0.0013047912,0.0012619555,0.0011306099,0.035810113],"study_design_scores_gemma":[0.000011288533,0.00005629365,0.9959015,0.000018766044,0.00006424928,0.000051437037,0.0009349027,0.0008878391,0.00046714785,0.00032694297,0.0012720758,0.0000074799095],"about_ca_topic_score_codex":0.024607116,"about_ca_topic_score_gemma":0.030702166,"teacher_disagreement_score":0.024607116,"about_ca_system_score_codex":0.0009889082,"about_ca_system_score_gemma":0.0011101554,"threshold_uncertainty_score":0.048927784},"labels":[],"label_agreement":null},{"id":"W3123394964","doi":"10.1017/s0022109017000291","title":"Investor Attrition and Fund Flows in Mutual Funds","year":2017,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Attrition; Sorting; Business; Equity (law); Mutual fund; Dispersion (optics); Monetary economics; Finance; Economics; Computer science; Political science","score_opus":0.10374060728612274,"score_gpt":0.29382254675320707,"score_spread":0.19008193946708435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123394964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99875844,0.00013138373,0.000342207,0.000120579905,0.000002689048,0.0000065464533,0.000049365837,0.000009423684,0.00057937973],"genre_scores_gemma":[0.9995987,0.000031589007,0.00006153539,0.000013669727,0.000010999772,0.0000035040766,0.000068738555,0.0000017851831,0.0002095617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979342,0.00060362235,0.00021994776,0.00019095928,0.00049765775,0.0005535696],"domain_scores_gemma":[0.9443978,0.016510077,0.033150084,0.0018070235,0.0020639221,0.0020711485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006759749,0.00023456616,0.0005184085,0.0017222293,0.00068707083,0.0016937726,0.0005275802,0.00075498567,0.0021037792],"category_scores_gemma":[0.047415383,0.00014306234,0.00045623543,0.0012988694,0.00090103113,0.0016010291,0.002274747,0.0010106262,0.00025443206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011004873,0.00017732994,0.96973675,0.00003700845,0.00012364029,0.0002155373,0.0010099062,0.005101257,0.00073021237,0.002687889,0.00039561908,0.018684423],"study_design_scores_gemma":[0.000049821425,0.00038676042,0.9779415,0.00003993712,0.00008511391,0.00026473502,0.0008721073,0.012190495,0.0012506683,0.0058550206,0.0010231852,0.00004066027],"about_ca_topic_score_codex":0.002607093,"about_ca_topic_score_gemma":0.0017723588,"teacher_disagreement_score":0.006759749,"about_ca_system_score_codex":0.0011920846,"about_ca_system_score_gemma":0.00052892463,"threshold_uncertainty_score":0.035749376},"labels":[],"label_agreement":null},{"id":"W3123397247","doi":"10.3386/w11683","title":"Investor Inattention, Firm Reaction, and Friday Earnings Announcements","year":2005,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Earnings; Business; Monetary economics; Economics; Econometrics; Finance","score_opus":0.33260174389576325,"score_gpt":0.43886285369272876,"score_spread":0.10626110979696551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123397247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99823606,0.00017106027,0.000060481718,0.00016343479,0.0000059116423,0.00000714432,0.0001489505,0.000004839545,0.0012020387],"genre_scores_gemma":[0.99905497,0.00012750945,0.000034974662,0.00003646674,0.000022172642,0.0000050035746,0.00023534021,0.0000024139329,0.00048118795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955934,0.00007313691,0.000044353306,0.000057193956,0.000114840055,0.00015113186],"domain_scores_gemma":[0.97771114,0.0060610413,0.0138356965,0.00052768004,0.00051981997,0.0013446161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013219796,0.00022280499,0.0004216844,0.00067016715,0.00024897745,0.0014347032,0.00027604497,0.0007623738,0.0024045063],"category_scores_gemma":[0.012379289,0.00015581482,0.00027206537,0.00065660715,0.00026632677,0.00054086646,0.0004222989,0.00067669875,0.0004250183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081878307,0.000249143,0.9870366,0.000027998425,0.00011144776,0.00027759475,0.00026417035,0.0012807092,0.0029112662,0.00025833648,0.0005734845,0.0061904327],"study_design_scores_gemma":[0.000009341483,0.00010503356,0.9980446,0.0000039987467,0.000028809322,0.000039272665,0.00020745244,0.00086541625,0.00037767127,0.00011253304,0.00019948794,0.000006325443],"about_ca_topic_score_codex":0.0089703845,"about_ca_topic_score_gemma":0.011523755,"teacher_disagreement_score":0.0089703845,"about_ca_system_score_codex":0.000585735,"about_ca_system_score_gemma":0.0002722631,"threshold_uncertainty_score":0.017836332},"labels":[],"label_agreement":null},{"id":"W3123420865","doi":"10.1016/s0927-5398(02)00051-8","title":"A Bayesian analysis of dual trader informativeness in futures markets","year":2003,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Purdue University","keywords":"Futures contract; Dual (grammatical number); Economics; Intuition; Trading strategy; Private information retrieval; Profit (economics); Econometrics; Microeconomics; Bayesian probability; Financial economics; Mathematics; Statistics","score_opus":0.038398718039337094,"score_gpt":0.2745720832587136,"score_spread":0.23617336521937649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123420865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17320806,0.0018341925,0.81589097,0.0031163895,0.00008372416,0.000076381555,0.00040312772,0.0002614755,0.0051257536],"genre_scores_gemma":[0.90440696,0.0023367861,0.082050905,0.00045159663,0.000743393,0.0001373044,0.0005859346,0.00021534125,0.009071754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99647695,0.0018956995,0.00015534503,0.00055508985,0.00053575705,0.0003811845],"domain_scores_gemma":[0.9017629,0.08914954,0.0032983145,0.002470023,0.0021765078,0.0011427284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0183725,0.0012471855,0.0036474734,0.0031211847,0.0012881947,0.0046108305,0.003904632,0.0038429801,0.0054986198],"category_scores_gemma":[0.07306206,0.0028824059,0.002190191,0.0025086484,0.004190219,0.009816952,0.0027818256,0.0045377575,0.00048597067],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047338344,0.00023297482,0.005744713,0.00019887694,0.0003563347,0.00040972471,0.00051455974,0.41198334,0.0015945289,0.54188144,0.0035593666,0.033050627],"study_design_scores_gemma":[0.00006096376,0.000026177762,0.001088953,0.000023795581,0.00006500739,0.0000780274,0.000030045887,0.8338961,0.0001916305,0.16402887,0.0004640469,0.000046318495],"about_ca_topic_score_codex":0.006641509,"about_ca_topic_score_gemma":0.0057760933,"teacher_disagreement_score":0.0183725,"about_ca_system_score_codex":0.0019105215,"about_ca_system_score_gemma":0.0017266374,"threshold_uncertainty_score":0.09716427},"labels":[],"label_agreement":null},{"id":"W3123449394","doi":"","title":"Trade Size and Information-Motivated Trading in the Options and Stock Markets","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Exploit; Leverage (statistics); Business; Alternative trading system; Adverse selection; Price discovery; Electronic trading; Trading strategy; Stock (firearms); Information asymmetry; Open outcry; Stock exchange; Financial economics; Algorithmic trading; Economics; Finance; Futures contract","score_opus":0.011553000050708256,"score_gpt":0.2049807377341493,"score_spread":0.19342773768344104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123449394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946102,0.00014560351,0.002047526,0.00013876065,0.000002887685,0.0000055328164,0.000028464872,0.000009098162,0.0030119568],"genre_scores_gemma":[0.9996031,0.000034879573,0.00014527861,0.000008705874,0.000010844406,0.0000017620994,0.000017067723,0.0000013379379,0.00017707312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994778,0.00019260713,0.000040557847,0.00007144395,0.00012998415,0.00008772767],"domain_scores_gemma":[0.9469571,0.036665197,0.012335604,0.001769242,0.0006587555,0.0016140317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019441962,0.00021426026,0.00030546947,0.0007187658,0.0002620826,0.001239136,0.00030661526,0.0005840631,0.004248289],"category_scores_gemma":[0.022686364,0.00015477517,0.00027852337,0.0004939625,0.0011594015,0.0030379624,0.00073127577,0.000944265,0.00024365506],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020134898,0.0008816135,0.8412773,0.00011070471,0.00021513311,0.0017246731,0.0008640513,0.020431064,0.016102256,0.06311315,0.00056637445,0.052700285],"study_design_scores_gemma":[0.00008773955,0.00043434664,0.85034835,0.000030958945,0.000076925484,0.0011648543,0.000462414,0.053341243,0.004297986,0.0889624,0.0007352742,0.000057516696],"about_ca_topic_score_codex":0.00049075234,"about_ca_topic_score_gemma":0.00057855557,"teacher_disagreement_score":0.004248289,"about_ca_system_score_codex":0.00028677753,"about_ca_system_score_gemma":0.00020701872,"threshold_uncertainty_score":0.014211953},"labels":[],"label_agreement":null},{"id":"W3123455513","doi":"10.3390/jrfm14020042","title":"Does the Design of Stablecoins Impact Their Volatility?","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Econometrics; Currency; Economics; Autocorrelation; Computer science; Financial economics; Actuarial science; Statistics; Monetary economics; Mathematics","score_opus":0.01919482394611749,"score_gpt":0.20658904405416978,"score_spread":0.1873942201080523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123455513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8285215,0.002051223,0.14653508,0.0005318274,0.00021812982,0.0002449164,0.0003134982,0.00032746504,0.021256385],"genre_scores_gemma":[0.9864677,0.00023054697,0.011938944,0.000046483176,0.00005332668,0.00005704479,0.00008493791,0.0000667294,0.0010543122],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9946404,0.0022952117,0.00041697107,0.00074825203,0.0014033947,0.0004958024],"domain_scores_gemma":[0.9645368,0.019701058,0.005895015,0.004867176,0.0039582313,0.0010417765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072386274,0.0005633805,0.00058299,0.0008768264,0.00046759876,0.003626095,0.00061913166,0.0010462397,0.0036127176],"category_scores_gemma":[0.046695404,0.00025791198,0.0003333147,0.0006756525,0.0009547139,0.0037168092,0.0008361138,0.0005434461,0.0009564165],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005849336,0.0007139374,0.15783787,0.001245825,0.0006389476,0.00067791645,0.0013311529,0.09850266,0.065086514,0.20198876,0.0041316,0.4619955],"study_design_scores_gemma":[0.0009188557,0.012345138,0.23195326,0.0008943014,0.00096426485,0.0054390635,0.0035233519,0.22763075,0.13723321,0.30244932,0.07612437,0.00052413595],"about_ca_topic_score_codex":0.00016057247,"about_ca_topic_score_gemma":0.00014974257,"teacher_disagreement_score":0.0072386274,"about_ca_system_score_codex":0.0006159572,"about_ca_system_score_gemma":0.00043818008,"threshold_uncertainty_score":0.038281977},"labels":[],"label_agreement":null},{"id":"W3123467624","doi":"10.1111/j.1540-6288.2009.00242.x","title":"Predictability in Consumption Growth and Equity Returns: A Bayesian Investigation","year":2010,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Econometrics; Predictability; Economics; Volatility (finance); Elasticity of intertemporal substitution; Elasticity of substitution; Dividend; Equity premium puzzle; Bayesian probability; Capital asset pricing model; Equity (law); Financial economics; Growth model; Microeconomics; Statistics; Mathematics; Finance","score_opus":0.04306354782165942,"score_gpt":0.26341173614532065,"score_spread":0.22034818832366124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123467624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6697332,0.0024836743,0.31325287,0.0035784151,0.000033983953,0.000043071734,0.00018934673,0.00012501837,0.010560394],"genre_scores_gemma":[0.9888537,0.0010971586,0.008838462,0.00009259629,0.00007860494,0.00002003995,0.000112238944,0.000017828013,0.0008894625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918634,0.0004244191,0.000032998152,0.00009078625,0.00021013533,0.000055370703],"domain_scores_gemma":[0.97903436,0.018003026,0.0014586475,0.0005839444,0.0007347425,0.00018539457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052288864,0.00028874242,0.0007899134,0.0011687953,0.00028913276,0.0016670537,0.00060679414,0.0008810838,0.001702887],"category_scores_gemma":[0.028682651,0.00053488323,0.00055174873,0.0008331204,0.0009811377,0.0020067731,0.000755676,0.0010652042,0.00016648743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021277383,0.00020684575,0.070666276,0.00013586678,0.00035755782,0.00048426058,0.00041220308,0.38102257,0.0016608506,0.4651539,0.002675789,0.07701105],"study_design_scores_gemma":[0.000032599746,0.000033138484,0.014865215,0.00005277064,0.00004992051,0.000113744914,0.0000457802,0.78997076,0.00024671204,0.19357356,0.0009875448,0.000028236387],"about_ca_topic_score_codex":0.0043304535,"about_ca_topic_score_gemma":0.0026854873,"teacher_disagreement_score":0.0052288864,"about_ca_system_score_codex":0.0006056464,"about_ca_system_score_gemma":0.0005431993,"threshold_uncertainty_score":0.027653337},"labels":[],"label_agreement":null},{"id":"W3123469925","doi":"10.34989/swp-2018-8","title":"High-Frequency Trading and Institutional Trading Costs","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"Government of Canada","keywords":"High-frequency trading; Futures contract; Market liquidity; Bond; Pairs trade; Economics; Business; Financial economics; Monetary economics; Algorithmic trading; Finance; Alternative trading system","score_opus":0.05317074254126513,"score_gpt":0.2736361249830851,"score_spread":0.22046538244181996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123469925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926295,0.0004155693,0.0010070199,0.00017011249,0.0000057548746,0.000024617731,0.0003695727,0.000012475981,0.005365303],"genre_scores_gemma":[0.99912673,0.000072714276,0.00018049966,0.000012002874,0.0000052487158,0.000004032032,0.00015675383,0.0000020140512,0.00043996485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819356,0.00026871968,0.00012318474,0.00025220393,0.0007705636,0.00039176788],"domain_scores_gemma":[0.9752006,0.010342445,0.009521681,0.0016277181,0.0015007001,0.0018068018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021906924,0.00023046165,0.000425406,0.0011789302,0.001079681,0.0025233487,0.00070057256,0.0007268258,0.0050506373],"category_scores_gemma":[0.024108035,0.00016131676,0.00027352473,0.0017091086,0.0009900323,0.0015459999,0.000900944,0.00079771865,0.00016618926],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005292975,0.00028301254,0.932209,0.00010931571,0.0002488274,0.0004633195,0.0010460769,0.012179563,0.002390279,0.010098179,0.0010756825,0.039367482],"study_design_scores_gemma":[0.000040418552,0.00009315966,0.98182696,0.000022470735,0.000071786846,0.00017732359,0.0010422835,0.00933179,0.000593465,0.0047991015,0.001955239,0.000046100926],"about_ca_topic_score_codex":0.22938702,"about_ca_topic_score_gemma":0.321194,"teacher_disagreement_score":0.22938702,"about_ca_system_score_codex":0.00426361,"about_ca_system_score_gemma":0.0019244445,"threshold_uncertainty_score":0.45610368},"labels":[],"label_agreement":null},{"id":"W3123486897","doi":"","title":"Information Transmission under Increasing Political Tension – Evidence for the Berlin Produce Exchange 1887-1896","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Futures contract; Politics; Dominance (genetics); German; Economics; Error correction model; Price discovery; Information transmission; Natural experiment; Financial economics; Transmission channel; Transmission (telecommunications); Political science; Econometrics; Engineering; Geography; Law; Computer science","score_opus":0.11694034089479519,"score_gpt":0.3318796472743639,"score_spread":0.21493930637956873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123486897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99105495,0.00031538424,0.0002478548,0.001067602,0.000016635098,0.0000062627146,0.00014307027,0.0000048126735,0.007143373],"genre_scores_gemma":[0.9989023,0.000183085,0.000058121874,0.00007790921,0.000035958208,0.0000028114064,0.00011308513,0.0000036407082,0.00062304875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985164,0.00069600885,0.00008573845,0.00016162415,0.00033005176,0.0002101541],"domain_scores_gemma":[0.9703288,0.017956732,0.008114431,0.0016204349,0.0011821344,0.00079748314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042341985,0.0001524184,0.00037314586,0.0009857316,0.00070341915,0.0023596662,0.00037483385,0.00093105744,0.006592754],"category_scores_gemma":[0.025385521,0.00023082606,0.000113775764,0.0011343765,0.0020695648,0.0015288659,0.001306702,0.0012293432,0.0006988744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0101604415,0.0016677342,0.6881692,0.0005167789,0.0006369985,0.0027391806,0.025035447,0.00919528,0.0110414885,0.10225764,0.012225801,0.13635409],"study_design_scores_gemma":[0.00043317227,0.0006173783,0.9531529,0.00013794107,0.00017505934,0.00046856704,0.0079729315,0.0045804745,0.0028354218,0.01393295,0.0156005705,0.00009267234],"about_ca_topic_score_codex":0.0065252036,"about_ca_topic_score_gemma":0.0030262563,"teacher_disagreement_score":0.006592754,"about_ca_system_score_codex":0.00074668473,"about_ca_system_score_gemma":0.00028519172,"threshold_uncertainty_score":0.02239281},"labels":[],"label_agreement":null},{"id":"W3123490553","doi":"","title":"How many stocks are enough for diversifying Canadian institutional portfolios","year":2014,"lang":"en","type":"preprint","venue":"eCite Digital Repository (University of Tasmania)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Portfolio; Financial economics; Econometrics; Economics; Business; Systematic risk; Actuarial science","score_opus":0.028210509001142102,"score_gpt":0.17033390259043432,"score_spread":0.1421233935892922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123490553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99255556,0.00022167074,0.0008445519,0.000516153,0.000007909097,0.00001980155,0.0010521951,0.0000256073,0.004756575],"genre_scores_gemma":[0.9974618,0.00013593255,0.000651499,0.000039154023,0.000003106922,0.00000418445,0.00070441124,0.0000041535736,0.0009956672],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960464,0.00003465773,0.000016997092,0.0000717541,0.00009936773,0.00017258475],"domain_scores_gemma":[0.9987907,0.0002544745,0.00031626222,0.000119544355,0.0002852244,0.00023380038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009177598,0.00028236932,0.00025553285,0.00054929825,0.00095610303,0.0018391756,0.00070905185,0.00061633624,0.0025023334],"category_scores_gemma":[0.006210688,0.00020000852,0.00045647318,0.0007562533,0.00063747156,0.0009005539,0.0005508507,0.0005389033,0.00013991783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046031983,0.0001260758,0.50971943,0.000077843535,0.00028980168,0.00041038325,0.00035716416,0.4122205,0.002554221,0.019632429,0.0067051905,0.047446545],"study_design_scores_gemma":[0.0001987183,0.00022474161,0.5233342,0.0000868811,0.00023149852,0.00028328729,0.0016682365,0.44245404,0.005665897,0.013096477,0.012635576,0.000120407196],"about_ca_topic_score_codex":0.7719344,"about_ca_topic_score_gemma":0.83612657,"teacher_disagreement_score":0.22806561,"about_ca_system_score_codex":0.008341673,"about_ca_system_score_gemma":0.005866484,"threshold_uncertainty_score":0.45881742},"labels":[],"label_agreement":null},{"id":"W3123496830","doi":"","title":"Long memory and the relation between implied and realized volatility","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Econometrics; Implied volatility; Volatility (finance); Economics; Cointegration; Forward volatility; Realized variance; Regression; Unobservable; Variance swap; Volatility smile; Volatility risk premium; Mathematics; Statistics","score_opus":0.049492363489037454,"score_gpt":0.2831451902115644,"score_spread":0.23365282672252696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123496830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91819644,0.009212592,0.05010147,0.0081382105,0.00032049834,0.000013111495,0.00048505224,0.00019845639,0.013334163],"genre_scores_gemma":[0.9953205,0.0009984626,0.00096316,0.00011387172,0.00016460432,0.000007649072,0.00013709899,0.00003380096,0.0022608642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952054,0.00015646142,0.000042106243,0.00012231672,0.000084340005,0.00007432304],"domain_scores_gemma":[0.9626446,0.030257294,0.004039631,0.0012935199,0.0009706466,0.0007943203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018690608,0.00040421376,0.0004383902,0.0008104707,0.00046540267,0.0023877556,0.0008074351,0.0011271144,0.006600494],"category_scores_gemma":[0.044122808,0.00030911804,0.0002393119,0.0010277883,0.0013005312,0.0031788822,0.0011201729,0.001735052,0.0005538891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015711408,0.00025787024,0.17523879,0.00056941574,0.00050555443,0.0023377156,0.0026072846,0.043155447,0.0052080615,0.6017064,0.0063364394,0.16050586],"study_design_scores_gemma":[0.000074379765,0.00014157454,0.10987914,0.00014459944,0.0001342924,0.00093479,0.00030076184,0.13761239,0.0010032807,0.7465865,0.003092737,0.00009551717],"about_ca_topic_score_codex":0.0014764083,"about_ca_topic_score_gemma":0.001297327,"teacher_disagreement_score":0.006600494,"about_ca_system_score_codex":0.00078025856,"about_ca_system_score_gemma":0.0003207695,"threshold_uncertainty_score":0.022080898},"labels":[],"label_agreement":null},{"id":"W3123508822","doi":"","title":"Behavioral Biases in the Corporate Bond Market","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bond; Corporate bond; Institutional investor; Arbitrage; Business; Portfolio; Monetary economics; Decile; Third market; Limits to arbitrage; Bond market; Financial economics; Financial system; Economics; Corporate governance; Finance","score_opus":0.07458189920034637,"score_gpt":0.2617074192177493,"score_spread":0.18712552001740296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123508822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975877,0.0001245987,0.00035287364,0.000068844594,0.000004584908,0.0000065063587,0.000051724895,0.0000038571116,0.0017993182],"genre_scores_gemma":[0.9994783,0.00007129758,0.00010112191,0.000035144858,0.000011033264,0.0000021170958,0.000048267204,0.0000019513705,0.00025071678],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900585,0.00034204772,0.00009668226,0.00013061563,0.00030623638,0.00011858599],"domain_scores_gemma":[0.9791181,0.0077345213,0.009935897,0.0013492042,0.0010024767,0.00085980113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027171064,0.0001402154,0.00028252578,0.0008122931,0.00016468579,0.0011736042,0.00020859709,0.00042968354,0.0020984507],"category_scores_gemma":[0.02153484,0.00014323677,0.00017031192,0.00059238524,0.00050541444,0.00097317784,0.0006345892,0.00056386366,0.00047690165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017945707,0.00010500482,0.98861885,0.0000124592,0.00008979131,0.000049767506,0.00022165336,0.00043976607,0.0011400911,0.0010263277,0.00010874328,0.008008025],"study_design_scores_gemma":[0.000006243873,0.0000887333,0.99487174,0.000007460768,0.000030101612,0.00012650524,0.00025492112,0.0014922014,0.0006008587,0.0020769488,0.00043358578,0.000010740524],"about_ca_topic_score_codex":0.0011126185,"about_ca_topic_score_gemma":0.0011168486,"teacher_disagreement_score":0.0027171064,"about_ca_system_score_codex":0.0002470053,"about_ca_system_score_gemma":0.00017267838,"threshold_uncertainty_score":0.014369607},"labels":[],"label_agreement":null},{"id":"W3123535335","doi":"","title":"Trading Volume in Dealer Markets","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Volatility (finance); Order (exchange); Economics; Volume (thermodynamics); Order book; High-frequency trading; Algorithmic trading; Financial economics; Market microstructure; Monetary economics; Value (mathematics); Econometrics; Finance; Mathematics","score_opus":0.049781590224416514,"score_gpt":0.27925107901686175,"score_spread":0.22946948879244522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123535335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7777888,0.0036835775,0.17250021,0.003310198,0.00026974722,0.00007799501,0.00080655515,0.00039419718,0.041168686],"genre_scores_gemma":[0.99133986,0.0003925329,0.0023543923,0.00006101539,0.00014266743,0.000025285128,0.0001370313,0.000025856372,0.005521371],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990701,0.0003255655,0.000044924454,0.00019564925,0.00025008293,0.00011365579],"domain_scores_gemma":[0.99412245,0.00341271,0.0014654734,0.00034075713,0.00030749704,0.00035105846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001827435,0.00042022113,0.0009761261,0.0009112873,0.00034351213,0.0032624356,0.0008116717,0.0013319477,0.006620772],"category_scores_gemma":[0.012841859,0.0003571771,0.00061776885,0.00092071353,0.0009391051,0.004050739,0.00082694483,0.0010551588,0.0006592916],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045436484,0.00023646046,0.02430978,0.00016822213,0.00017032542,0.0006594717,0.0005956081,0.24853444,0.0045255916,0.68230605,0.00421339,0.033826303],"study_design_scores_gemma":[0.0000770132,0.00011000105,0.011116895,0.000025536903,0.000048267866,0.00022736432,0.000049738876,0.5339436,0.0006035869,0.45047066,0.0032827284,0.000044616223],"about_ca_topic_score_codex":0.00069981656,"about_ca_topic_score_gemma":0.00032618598,"teacher_disagreement_score":0.006620772,"about_ca_system_score_codex":0.0007535937,"about_ca_system_score_gemma":0.00035819787,"threshold_uncertainty_score":0.022148669},"labels":[],"label_agreement":null},{"id":"W3123550555","doi":"10.2139/ssrn.2887854","title":"Asset Pricing and Extreme Event Risk: Common Factors in ILS Fund Returns","year":2016,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Luck; Capital asset pricing model; Market timing; Bond; Economics; Mutual fund; Quarter (Canadian coin); Financial economics; Business; Actuarial science; Monetary economics; Econometrics; Finance; Initial public offering","score_opus":0.042963423721248895,"score_gpt":0.24506608685189032,"score_spread":0.20210266313064143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123550555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8664258,0.0015620579,0.119744785,0.001956888,0.00009055832,0.000065508226,0.0002652919,0.00017334917,0.009715823],"genre_scores_gemma":[0.9961541,0.00030307952,0.0020955352,0.00003826502,0.00010047254,0.00001075838,0.00009473467,0.000016876244,0.0011862338],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841833,0.00046796614,0.000117593954,0.00031511966,0.0003909099,0.00029012334],"domain_scores_gemma":[0.976039,0.015467932,0.0037179831,0.0024945808,0.0011265987,0.0011539516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032301068,0.0005541988,0.0011103214,0.001686676,0.0005647598,0.004293672,0.0011353019,0.0021106426,0.005132034],"category_scores_gemma":[0.035771202,0.0004492174,0.0012472175,0.0017824041,0.0014906668,0.004408966,0.00202007,0.002381393,0.0003504605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059794117,0.00053868286,0.28455013,0.00017880062,0.0006910571,0.0024377313,0.0015045425,0.058552377,0.0036353294,0.5483332,0.0044028936,0.0945773],"study_design_scores_gemma":[0.000062854444,0.00015526432,0.19234821,0.00006489339,0.00023125723,0.0012337937,0.00065485586,0.19458497,0.0007929585,0.6076158,0.002132283,0.00012291534],"about_ca_topic_score_codex":0.001713045,"about_ca_topic_score_gemma":0.0012959408,"teacher_disagreement_score":0.005132034,"about_ca_system_score_codex":0.0005606477,"about_ca_system_score_gemma":0.0005112016,"threshold_uncertainty_score":0.017168343},"labels":[],"label_agreement":null},{"id":"W3123566553","doi":"10.1093/qje/qjx007","title":"Catering to Investors Through Security Design: Headline Rate and Complexity*","year":2017,"lang":"en","type":"article","venue":"The Quarterly Journal of Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":225,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Universität Zürich","keywords":"Headline; Yield (engineering); Rate of return; Product (mathematics); Business; Economics; Interest rate; Investment (military); Financial economics; Monetary economics; Finance; Advertising; Mathematics","score_opus":0.14053569837519686,"score_gpt":0.26575870694690723,"score_spread":0.12522300857171037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123566553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99243516,0.00023096753,0.0017779503,0.00017446686,0.000003368772,0.000036879814,0.000042096624,0.000015052747,0.005284049],"genre_scores_gemma":[0.9986131,0.00006300323,0.00079720304,0.000020193891,0.000010784135,0.0000048883203,0.000029266523,0.0000027437154,0.00045863702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990945,0.0003303679,0.000086971515,0.00010205286,0.00027060963,0.00011560873],"domain_scores_gemma":[0.96710443,0.011992246,0.01728194,0.001006596,0.0014395039,0.0011752441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017851407,0.00030512892,0.00031489573,0.00086478534,0.00030382237,0.00265506,0.00030278484,0.00072290975,0.00461788],"category_scores_gemma":[0.017827125,0.00018349427,0.00029134256,0.00048966456,0.000585665,0.0020875172,0.00090044795,0.00062482536,0.00056845613],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009238672,0.00070349564,0.89607126,0.00016967377,0.00020085601,0.00059520977,0.0007641815,0.013934429,0.009449602,0.007657729,0.0011070431,0.06842258],"study_design_scores_gemma":[0.000090783156,0.0010924478,0.93968517,0.00008562598,0.00018509293,0.0007074115,0.0016494809,0.035311375,0.005456754,0.011422597,0.0042268327,0.00008653184],"about_ca_topic_score_codex":0.00089299877,"about_ca_topic_score_gemma":0.0011420937,"teacher_disagreement_score":0.00461788,"about_ca_system_score_codex":0.0011590752,"about_ca_system_score_gemma":0.0003820926,"threshold_uncertainty_score":0.015448332},"labels":[],"label_agreement":null},{"id":"W3123566937","doi":"10.1111/1911-3846.12314","title":"Aggregate Margin Debt and the Divergence of Price from Accounting Fundamentals","year":2017,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); Economics; Debt; Monetary economics; Aggregate (composite); Divergence (linguistics); Econometrics; Macroeconomics","score_opus":0.10170080973966554,"score_gpt":0.30462730535539045,"score_spread":0.2029264956157249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123566937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982431,0.00015971817,0.0003075039,0.00008699409,0.0000033862127,0.0000022269166,0.000077399534,0.0000043377368,0.0011154625],"genre_scores_gemma":[0.99965715,0.000045137676,0.00005840531,0.000011714976,0.0000075822604,9.913546e-7,0.00007906693,0.0000010543498,0.00013888105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974626,0.00004183769,0.0000375617,0.00004758497,0.00008368333,0.000043135722],"domain_scores_gemma":[0.98355204,0.003675242,0.010728281,0.00051583775,0.0008913684,0.0006373249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075440673,0.00017583158,0.00028545805,0.0007120608,0.00019916262,0.0015833834,0.00025202328,0.0005130894,0.0022544393],"category_scores_gemma":[0.0116279125,0.00012960327,0.00013142584,0.0008832054,0.00038742222,0.0011240104,0.0008553027,0.0011405835,0.00031808263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002517451,0.00012611701,0.98313946,0.000027651226,0.00007184875,0.00030633944,0.00032054106,0.0017447197,0.0029423116,0.0018852383,0.00020107365,0.008982889],"study_design_scores_gemma":[0.0000062417594,0.00007136887,0.9935235,0.0000124587505,0.000013501024,0.00020100828,0.00020718576,0.0023623512,0.0006438064,0.0026199478,0.00033045415,0.000008149839],"about_ca_topic_score_codex":0.0012386716,"about_ca_topic_score_gemma":0.0010325777,"teacher_disagreement_score":0.0022544393,"about_ca_system_score_codex":0.0004015059,"about_ca_system_score_gemma":0.00014490493,"threshold_uncertainty_score":0.0075418353},"labels":[],"label_agreement":null},{"id":"W3123595124","doi":"10.1016/j.jempfin.2012.08.006","title":"Speed of convergence to market efficiency: The role of ECNs","year":2012,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Convergence (economics); Economics; Business; Macroeconomics","score_opus":0.03891968868994806,"score_gpt":0.2674657427898616,"score_spread":0.22854605409991358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123595124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88079077,0.0029660435,0.05548291,0.0036080002,0.00023298674,0.00006194264,0.0002968801,0.0003000139,0.0562605],"genre_scores_gemma":[0.9947009,0.00037245487,0.0027886298,0.00008756038,0.00008127202,0.000011625364,0.0000466463,0.000062525396,0.0018483567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987538,0.00050366705,0.00009150336,0.00029375445,0.00018631326,0.00017085674],"domain_scores_gemma":[0.9331004,0.04815931,0.0069050053,0.004817552,0.004386611,0.0026311898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006088858,0.00035451408,0.0009784997,0.0019752814,0.0006532067,0.0055570565,0.0011193308,0.001415709,0.013738108],"category_scores_gemma":[0.10044844,0.00045358334,0.0004954143,0.001260269,0.0023869947,0.007864074,0.0019696024,0.002822001,0.00065344584],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011388958,0.00032285796,0.1012736,0.0002852711,0.00032697694,0.0005236763,0.0012184137,0.10978884,0.002523248,0.67856383,0.006852365,0.097182125],"study_design_scores_gemma":[0.00017455392,0.00028527924,0.095683664,0.00024308017,0.00024201845,0.0007474194,0.0015104201,0.34633297,0.0032547347,0.5434488,0.007955098,0.00012201328],"about_ca_topic_score_codex":0.0024119928,"about_ca_topic_score_gemma":0.0010686493,"teacher_disagreement_score":0.013738108,"about_ca_system_score_codex":0.0013500211,"about_ca_system_score_gemma":0.0011298395,"threshold_uncertainty_score":0.04595852},"labels":[],"label_agreement":null},{"id":"W3123597007","doi":"10.1111/jofi.12012","title":"Uncovering Hedge Fund Skill from the Portfolio Holdings They Hide","year":2012,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":294,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Confidentiality; Hedge fund; Business; Portfolio; Private information retrieval; Quarter (Canadian coin); Information asymmetry; Equity (law); Institutional investor; Monetary economics; Actuarial science; Finance; Economics; Corporate governance","score_opus":0.04085715780490874,"score_gpt":0.22590311151005343,"score_spread":0.1850459537051447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123597007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99783176,0.00007943171,0.0008760024,0.0000365705,0.0000015271822,0.0000030325484,0.0001495151,0.000007829549,0.0010142791],"genre_scores_gemma":[0.9994173,0.000039111055,0.00020282067,0.0000056045933,0.0000043691393,0.000001232297,0.00012447583,0.0000012659926,0.00020380876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996457,0.000050001083,0.000044743592,0.000057545352,0.00013428016,0.00006775742],"domain_scores_gemma":[0.9887919,0.0048851995,0.0043240516,0.0010735807,0.00047860487,0.00044669455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009760481,0.00016261527,0.0002942451,0.0014300654,0.00015120709,0.0009537862,0.00026603567,0.00028712416,0.0023883043],"category_scores_gemma":[0.012319669,0.00011332393,0.00013026067,0.00094479456,0.0003219297,0.0010518002,0.0007534867,0.00036180834,0.00041048796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026299708,0.00012384327,0.9422112,0.000036708898,0.000117832555,0.00016251374,0.0006213299,0.0020788568,0.005807474,0.001668031,0.00033268862,0.046576466],"study_design_scores_gemma":[0.000009215099,0.00014017332,0.9804098,0.000024625771,0.000047233414,0.00026417166,0.0005906084,0.009437067,0.003802409,0.004230914,0.0010251265,0.000018722654],"about_ca_topic_score_codex":0.0020721043,"about_ca_topic_score_gemma":0.0018447796,"teacher_disagreement_score":0.0023883043,"about_ca_system_score_codex":0.00025973906,"about_ca_system_score_gemma":0.00023162988,"threshold_uncertainty_score":0.007989645},"labels":[],"label_agreement":null},{"id":"W3123600049","doi":"10.1093/rfs/hhs182","title":"Mutual Fund's <i>R</i>2 as Predictor of Performance","year":2012,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":495,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Econometrics; Mutual fund; Stock (firearms); Regression; Economics; Regression analysis; Business; Actuarial science; Statistics; Mathematics; Finance; Geography","score_opus":0.07519176168017298,"score_gpt":0.27820157623650377,"score_spread":0.20300981455633077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123600049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99516886,0.00093806954,0.0010247069,0.00033530232,0.000019525034,0.000008218226,0.0005943926,0.000043098633,0.0018677083],"genre_scores_gemma":[0.998953,0.00012758415,0.00028046666,0.000016145159,0.000028329152,0.0000055102187,0.0002723493,0.000003956341,0.00031269883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988753,0.00048473672,0.00010924226,0.00014095266,0.00027889817,0.000110941306],"domain_scores_gemma":[0.9815052,0.009489224,0.006177059,0.00069511536,0.0012139657,0.00091950747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034940685,0.00032834974,0.0003052104,0.0014927236,0.00013543617,0.00095169066,0.00034105303,0.00053507293,0.0019246854],"category_scores_gemma":[0.015018126,0.000096118085,0.00033891303,0.0013614628,0.0002604242,0.00047130574,0.00037501828,0.00047212638,0.00069190015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002158785,0.00004900662,0.9901424,0.000023111917,0.00015467682,0.00005547524,0.000027023842,0.0011202039,0.00029797596,0.00022894093,0.0006503517,0.0070349374],"study_design_scores_gemma":[0.00001811792,0.00024206718,0.9889208,0.000019966184,0.00011152025,0.00022037444,0.000071920804,0.008247736,0.00080696226,0.0005227029,0.00080475886,0.000013059972],"about_ca_topic_score_codex":0.0023959787,"about_ca_topic_score_gemma":0.0012423232,"teacher_disagreement_score":0.0034940685,"about_ca_system_score_codex":0.00035776512,"about_ca_system_score_gemma":0.0004662421,"threshold_uncertainty_score":0.018478632},"labels":[],"label_agreement":null},{"id":"W3123611312","doi":"10.2139/ssrn.2080741","title":"Asymmetric Price and Liquidity Responses to Changes in the FTSE SmallCap Index","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Market liquidity; Index (typography); Economics; Monetary economics; Computer science","score_opus":0.028423911371115943,"score_gpt":0.2331067492283992,"score_spread":0.20468283785728325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123611312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99793494,0.000031112177,0.00017810921,0.00016959227,0.00001870752,0.000005946709,0.00028644872,0.000019688785,0.0013554663],"genre_scores_gemma":[0.9994399,0.000013595729,0.00004196287,0.000030903288,0.000019292842,0.000002850279,0.00020247564,0.0000066115176,0.0002422833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962413,0.00006410663,0.00003024269,0.00006103997,0.00012623423,0.000094284755],"domain_scores_gemma":[0.9934562,0.0033501224,0.0017388925,0.00033825127,0.00055076345,0.0005657399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007629407,0.00028322294,0.0003538801,0.0007304372,0.0001980261,0.0010780031,0.0003440695,0.0011887691,0.0042006816],"category_scores_gemma":[0.013288299,0.00020620215,0.0002502409,0.000614638,0.0003133346,0.00076755125,0.0005544078,0.0012068921,0.0006328932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018476574,0.0033041383,0.58446103,0.00025722905,0.0004892241,0.0030706779,0.0012772758,0.053512666,0.25790498,0.009742085,0.011816939,0.05568728],"study_design_scores_gemma":[0.00019680437,0.0005693572,0.9259865,0.000012286826,0.000072866525,0.0003190218,0.00040187582,0.05856461,0.009650445,0.0034204563,0.0007425967,0.00006325389],"about_ca_topic_score_codex":0.0018570229,"about_ca_topic_score_gemma":0.0013024204,"teacher_disagreement_score":0.0042006816,"about_ca_system_score_codex":0.00049775623,"about_ca_system_score_gemma":0.00018394148,"threshold_uncertainty_score":0.0140526295},"labels":[],"label_agreement":null},{"id":"W3123625569","doi":"10.1111/1540-6261.00502","title":"Momentum Trading by Institutions","year":2002,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":324,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Contrarian; Quarter (Canadian coin); Equity (law); Momentum (technical analysis); Business; Trading strategy; Financial economics; Monetary economics; Economics; Finance; Political science; Geography; Law","score_opus":0.06316025925313097,"score_gpt":0.2182049696966595,"score_spread":0.15504471044352852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123625569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932025,0.0003870526,0.00026179326,0.000071116476,0.0000046718724,0.0000128764195,0.0012951478,0.000026513811,0.0047384906],"genre_scores_gemma":[0.99656254,0.00022443148,0.00032487628,0.00001634903,0.000016511833,0.000008440337,0.001202,0.00000529577,0.0016395169],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946314,0.000055023724,0.000051435385,0.000094645475,0.00019477433,0.00014094471],"domain_scores_gemma":[0.99171233,0.0010665002,0.0055581485,0.00030907523,0.000730923,0.0006229054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006262604,0.00015272915,0.000190141,0.0028175535,0.00042193598,0.0015093962,0.00026049098,0.00023606356,0.0026380045],"category_scores_gemma":[0.004551168,0.00011214852,0.00015099009,0.0030902135,0.0002613054,0.0008611969,0.0005881464,0.00030919703,0.00052333233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008611019,0.000044600114,0.9659137,0.000018298455,0.000035381738,0.00012300213,0.001006363,0.00058582064,0.0005614586,0.00075789576,0.0014170617,0.029450301],"study_design_scores_gemma":[0.000007675165,0.00004704999,0.99145776,0.000019344443,0.00002441778,0.0001833873,0.00061613275,0.0017319763,0.0006197544,0.0004205198,0.0048591853,0.000012800171],"about_ca_topic_score_codex":0.013939086,"about_ca_topic_score_gemma":0.022515764,"teacher_disagreement_score":0.013939086,"about_ca_system_score_codex":0.00087926857,"about_ca_system_score_gemma":0.0005193687,"threshold_uncertainty_score":0.027715921},"labels":[],"label_agreement":null},{"id":"W3123638189","doi":"10.5430/ijfr.v12n3p135","title":"Stock Return Variations: The Validity of Systemic Risk, Size and Valuation as Explanatory Variables in the Lebanese Stock Market","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Valuation (finance); Stock market; Econometrics; Economics; Financial economics; Capital asset pricing model; Risk premium; Risk–return spectrum; Equity (law); Business; Accounting; Portfolio","score_opus":0.10967710056739641,"score_gpt":0.33669845823283756,"score_spread":0.22702135766544115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123638189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99672866,0.00083954446,0.0008166067,0.0003451064,0.000008172132,0.0000057864872,0.00005234807,0.000005447256,0.0011982989],"genre_scores_gemma":[0.9993455,0.00021488889,0.00012949866,0.000024171242,0.000017208802,0.0000029159937,0.000050264855,0.0000015865613,0.00021403133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990326,0.0004593884,0.00005654711,0.00017891273,0.00015155277,0.00012087416],"domain_scores_gemma":[0.989762,0.007003051,0.0021691585,0.0003379476,0.00042188313,0.00030592008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035589612,0.0003827667,0.00040991354,0.0013593697,0.00035666974,0.0021715113,0.00034546916,0.0005494873,0.0011977701],"category_scores_gemma":[0.008918221,0.00013631915,0.0006682796,0.0010640008,0.00092612626,0.0013917914,0.00072116824,0.00059380045,0.00014121234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016851252,0.000065571134,0.9750861,0.000025787576,0.00021577347,0.00037262583,0.00032947338,0.0033346377,0.0005369472,0.0043935585,0.0001881875,0.015282897],"study_design_scores_gemma":[0.000024406962,0.00019356362,0.94702446,0.000057454225,0.0002515711,0.00020478816,0.0009863378,0.042155884,0.000759668,0.007411173,0.00089778786,0.000032962645],"about_ca_topic_score_codex":0.012380746,"about_ca_topic_score_gemma":0.005630385,"teacher_disagreement_score":0.012380746,"about_ca_system_score_codex":0.000868055,"about_ca_system_score_gemma":0.0008803252,"threshold_uncertainty_score":0.024617374},"labels":[],"label_agreement":null},{"id":"W3123640784","doi":"10.3905/jpm.2015.41.4.068","title":"Implied returns and the choice of mean-variance efficient portfolio proxy","year":2015,"lang":"en","type":"article","venue":"VU Research Portal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Portfolio; Econometrics; Proxy (statistics); Portfolio optimization; Market portfolio; Economics; Modern portfolio theory; Rate of return on a portfolio; Variance (accounting); Stock (firearms); Asset allocation; Covariance; Capital asset pricing model; Market capitalization; Financial economics; Stock market; Mathematics; Statistics","score_opus":0.11334152817634811,"score_gpt":0.3215244772403279,"score_spread":0.20818294906397977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123640784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8426131,0.0012108951,0.14724043,0.0010402087,0.000052254996,0.00004850528,0.00045802878,0.00019017427,0.007146391],"genre_scores_gemma":[0.99290305,0.00016207327,0.0063401624,0.000042209762,0.000026811687,0.000010592336,0.00024253281,0.000014495027,0.0002579937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963528,0.0017270081,0.00037699818,0.00053387316,0.00078176096,0.0002275998],"domain_scores_gemma":[0.93433934,0.048498105,0.009860231,0.0045934906,0.0022932324,0.00041560075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009056659,0.00045594524,0.00073153165,0.0011824752,0.00021427395,0.0032612279,0.00073802366,0.0012911501,0.0008833703],"category_scores_gemma":[0.09593068,0.00035696774,0.0005159171,0.0016243157,0.0009140866,0.0038056634,0.0010466988,0.0012920008,0.00022537056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013626745,0.00027335458,0.3092002,0.00032081205,0.0011188177,0.0007864519,0.00039186832,0.3992543,0.0116130235,0.15594855,0.0025516935,0.11717829],"study_design_scores_gemma":[0.00011769508,0.0005807692,0.1328905,0.00017340574,0.00031766563,0.0006884969,0.00028855473,0.75561064,0.019455517,0.087038584,0.0026340545,0.00020410221],"about_ca_topic_score_codex":0.0006830036,"about_ca_topic_score_gemma":0.000588886,"teacher_disagreement_score":0.009056659,"about_ca_system_score_codex":0.0008188636,"about_ca_system_score_gemma":0.00039122062,"threshold_uncertainty_score":0.047896743},"labels":[],"label_agreement":null},{"id":"W3123643017","doi":"10.1111/j.1755-053x.2009.01061.x","title":"The Telling Trades of Mutual Funds","year":2009,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Stock (firearms); Exploit; Business; Selection (genetic algorithm); Economics; Mutual fund; Monetary economics; Financial economics; Finance; Computer science","score_opus":0.02432608289372853,"score_gpt":0.2014874106294166,"score_spread":0.17716132773568807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123643017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897391,0.00044750303,0.00034340838,0.00060834095,0.000014003253,0.000007693645,0.00037193322,0.000016229069,0.00845173],"genre_scores_gemma":[0.9979334,0.0001581631,0.00009036613,0.000019170788,0.000016957123,0.0000028951235,0.00015684457,0.0000018249846,0.0016204342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959046,0.00010636099,0.000044100518,0.000050506795,0.00011386898,0.00009472156],"domain_scores_gemma":[0.99241054,0.00323584,0.0032549642,0.00044056488,0.00030812726,0.00035001538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011654556,0.00014001473,0.00022436137,0.00094862486,0.0006269371,0.0020310895,0.00032437185,0.0007247788,0.0058710934],"category_scores_gemma":[0.020513058,0.00012531027,0.00020543052,0.0009443505,0.0005110779,0.0016981792,0.0005964217,0.0004983634,0.00061678636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032711714,0.00021246765,0.71182966,0.00025991868,0.00022438359,0.0017882035,0.0043765907,0.014750222,0.0042608087,0.10704815,0.009621441,0.14235695],"study_design_scores_gemma":[0.000082020626,0.0004552491,0.85085773,0.00011111476,0.00023172113,0.0015931071,0.0035868096,0.038038928,0.0056339228,0.07797517,0.021335915,0.000098408615],"about_ca_topic_score_codex":0.0035980425,"about_ca_topic_score_gemma":0.004770518,"teacher_disagreement_score":0.0058710934,"about_ca_system_score_codex":0.0010581596,"about_ca_system_score_gemma":0.00029750966,"threshold_uncertainty_score":0.019640744},"labels":[],"label_agreement":null},{"id":"W3123646285","doi":"10.1093/rfs/hhm020","title":"The Declining Equity Premium: What Role Does Macroeconomic Risk Play?","year":2007,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":407,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"Alfred P. Sloan Foundation; National Science Foundation","keywords":"Equity (law); Equity premium puzzle; Economics; Risk premium; Political science; History; Library science; Financial economics; Law; Computer science","score_opus":0.04391875183486836,"score_gpt":0.30979913312386276,"score_spread":0.2658803812889944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123646285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81821656,0.08150287,0.0071319942,0.064661495,0.00036457175,0.000020496767,0.0004319705,0.00006886381,0.02760117],"genre_scores_gemma":[0.98255724,0.013964718,0.0003369015,0.0012307107,0.00041776538,0.0000034248621,0.000056745175,0.000006960555,0.001425419],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998703,0.000026072626,0.0000062189856,0.000037718564,0.000034525205,0.000025181587],"domain_scores_gemma":[0.99896324,0.0003754386,0.00036930825,0.000052153748,0.00011846259,0.000121333505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089767337,0.00021965243,0.0004954488,0.0005811144,0.00021491601,0.002184417,0.00043268074,0.0010294317,0.0023619528],"category_scores_gemma":[0.004361889,0.000112635826,0.0002098717,0.0005409224,0.0010529828,0.0023438258,0.00037038096,0.00087714393,0.0002868043],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041405784,0.0002761565,0.33401227,0.0005659467,0.00027853245,0.0010028807,0.0017275804,0.004934239,0.0068766167,0.2534113,0.01346623,0.38303426],"study_design_scores_gemma":[0.00007338078,0.0001593771,0.5719548,0.0004091497,0.00021285602,0.0009864548,0.0017579547,0.014789159,0.001721844,0.3777396,0.030133775,0.000061680774],"about_ca_topic_score_codex":0.003702476,"about_ca_topic_score_gemma":0.0029418012,"teacher_disagreement_score":0.003702476,"about_ca_system_score_codex":0.0007147769,"about_ca_system_score_gemma":0.00041845287,"threshold_uncertainty_score":0.007901549},"labels":[],"label_agreement":null},{"id":"W3123647395","doi":"10.2139/ssrn.2139702","title":"Intensity of Private Information Flow and Price Discovery in the U.S. Treasury Market","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Price discovery; Treasury; Intensity (physics); Business; Information flow; Monetary economics; Economics; Financial system; Finance; Financial economics; Political science; Law; Physics; Philosophy","score_opus":0.010874984971284082,"score_gpt":0.18520357509562962,"score_spread":0.17432859012434554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123647395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992959,0.0003939637,0.0008551901,0.0015760586,0.0000077429,0.0000072419493,0.00011763329,0.000023356573,0.0040597944],"genre_scores_gemma":[0.99955136,0.0000894212,0.00007585909,0.0000365542,0.000022244098,0.0000013806161,0.0000319887,0.0000027782366,0.00018835475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998919,0.00038384754,0.000107851796,0.00016235591,0.00022721902,0.0001997549],"domain_scores_gemma":[0.9122242,0.06285084,0.017381558,0.0027599647,0.0019497048,0.0028337673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036954642,0.00012665369,0.0006025703,0.0011976047,0.0006595894,0.0041122916,0.00044044037,0.0016522189,0.004045433],"category_scores_gemma":[0.042600676,0.0003918583,0.00036557348,0.0016131687,0.0017194926,0.004339095,0.00126989,0.0021669278,0.00035595946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004564266,0.0012272114,0.7745295,0.00016180046,0.0005784635,0.0010284986,0.0024347408,0.033775654,0.007787828,0.09606683,0.004977471,0.07286755],"study_design_scores_gemma":[0.00025509766,0.0004129338,0.80505717,0.000040462666,0.00023193503,0.0005405044,0.0014407974,0.084657535,0.0019746653,0.10377034,0.0014740292,0.00014450536],"about_ca_topic_score_codex":0.0056460295,"about_ca_topic_score_gemma":0.005266415,"teacher_disagreement_score":0.0056460295,"about_ca_system_score_codex":0.0014243346,"about_ca_system_score_gemma":0.0007743502,"threshold_uncertainty_score":0.019543707},"labels":[],"label_agreement":null},{"id":"W3123657958","doi":"10.2139/ssrn.1570653","title":"The Predictability of Returns with Regime Shifts in Consumption and Dividend Growth","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Predictability; Dividend; Consumption (sociology); Economics; Monetary economics; Econometrics; Mathematics; Finance; Statistics","score_opus":0.010301777855066375,"score_gpt":0.19598273709921737,"score_spread":0.185680959244151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123657958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970086,0.00010807386,0.001486178,0.0003772976,0.000014651783,0.0000027406973,0.00008928122,0.0000360065,0.0008770805],"genre_scores_gemma":[0.999521,0.00004592666,0.000069181064,0.000015796628,0.000017312212,9.997925e-7,0.00005989326,0.000008311562,0.00026169608],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966264,0.00009202377,0.000022274575,0.0000805479,0.000045379325,0.00009710512],"domain_scores_gemma":[0.97786397,0.015284485,0.0039715986,0.001527744,0.00060299074,0.000749216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022247655,0.00027863283,0.00051676657,0.00072681956,0.0002948219,0.0018812537,0.00046493378,0.001037102,0.0029571971],"category_scores_gemma":[0.02387108,0.00051502977,0.00046405089,0.00074688863,0.0011424,0.0016630319,0.0007856188,0.0019102268,0.000442747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013623607,0.00032992338,0.84917575,0.000073146635,0.0004552159,0.001077685,0.00078507635,0.08300901,0.0074149957,0.024363548,0.0028467376,0.029106542],"study_design_scores_gemma":[0.0000623251,0.00012755918,0.7447753,0.000016865171,0.00009283137,0.00028079603,0.00029863158,0.22008486,0.0012289952,0.03243771,0.0005299776,0.00006419151],"about_ca_topic_score_codex":0.0031926285,"about_ca_topic_score_gemma":0.0024676707,"teacher_disagreement_score":0.0031926285,"about_ca_system_score_codex":0.00056826574,"about_ca_system_score_gemma":0.00027154578,"threshold_uncertainty_score":0.011765778},"labels":[],"label_agreement":null},{"id":"W3123668828","doi":"10.1017/s0022109017000643","title":"Time-Disaggregated Dividend–Price Ratio and Dividend Growth Predictability in Large Equity Markets","year":2017,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Predictability; Dividend; Economics; Equity (law); Volatility (finance); Econometrics; Financial economics; Dividend payout ratio; Dividend policy; Monetary economics; Statistics; Mathematics; Finance","score_opus":0.039654772508100004,"score_gpt":0.28449162280942947,"score_spread":0.24483685030132946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123668828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988526,0.00004319456,0.00077806064,0.00002044605,0.0000014321058,0.0000014228731,0.00007420392,0.000013748682,0.00021485708],"genre_scores_gemma":[0.9995436,0.00001824099,0.00023620155,0.0000035161383,0.0000037779325,0.0000011959808,0.00012535733,0.0000025725797,0.00006549354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977714,0.000052752013,0.000019072962,0.00006700001,0.000046758785,0.000037341408],"domain_scores_gemma":[0.9960544,0.0016513442,0.0012353958,0.0004869717,0.00033618225,0.00023577691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094833167,0.00018751597,0.00038017528,0.0008369309,0.00016551888,0.00084702036,0.00027636308,0.00032498472,0.0009887363],"category_scores_gemma":[0.0049524745,0.00016763851,0.00028390286,0.0008939238,0.00028196632,0.00090337364,0.0004883938,0.00037880993,0.0001597679],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003344163,0.0002189724,0.91034925,0.00004375273,0.00044099594,0.0005866145,0.0004815354,0.050510388,0.012176643,0.004760758,0.00053972,0.019557118],"study_design_scores_gemma":[0.000009380361,0.000051784875,0.87352043,0.0000054288794,0.000043564087,0.00012632861,0.000096122974,0.12100669,0.0015099412,0.003280192,0.0003335212,0.000016534115],"about_ca_topic_score_codex":0.0040633664,"about_ca_topic_score_gemma":0.0041660266,"teacher_disagreement_score":0.0040633664,"about_ca_system_score_codex":0.00028702617,"about_ca_system_score_gemma":0.00017791893,"threshold_uncertainty_score":0.00807941},"labels":[],"label_agreement":null},{"id":"W3123669565","doi":"","title":"On the Role of Arbitrageurs in Rational Markets","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Arbitrage; Limits to arbitrage; Economics; Leverage (statistics); Fixed income arbitrage; Odds; Financial economics; Mainstream; Monetary economics; Financial market; Risk arbitrage; Business; Finance; Arbitrage pricing theory; Logistic regression; Capital asset pricing model","score_opus":0.03413144383194487,"score_gpt":0.262610067053237,"score_spread":0.2284786232212921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123669565","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09809512,0.045152746,0.28920364,0.108462386,0.0027551595,0.00015551035,0.000336513,0.0003076497,0.45553124],"genre_scores_gemma":[0.9173545,0.018957054,0.023256842,0.0025046316,0.0033507412,0.00014588835,0.00009535682,0.000100775396,0.03423419],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99624544,0.0019677521,0.00014027287,0.0004887572,0.0008328153,0.00032504063],"domain_scores_gemma":[0.9853709,0.011636121,0.0008580441,0.0008729722,0.0008954003,0.00036651274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062674903,0.0007166062,0.0010400886,0.0009252165,0.0013479033,0.0042774063,0.0011626503,0.0037876375,0.008294642],"category_scores_gemma":[0.01824579,0.0004636755,0.0006915369,0.0009767058,0.009196078,0.008253128,0.0023465736,0.003726643,0.0011282531],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010284793,0.000006607046,0.00008903747,0.00003306098,0.000005649975,0.000043405566,0.000092800896,0.0015177835,0.00006309146,0.9936128,0.0017435269,0.0027819888],"study_design_scores_gemma":[0.000011113916,0.000007614169,0.00008673148,0.000017624367,0.000004678547,0.000018431887,0.000023715274,0.004481064,0.000032320477,0.9910415,0.0042703925,0.000004818445],"about_ca_topic_score_codex":0.0014399703,"about_ca_topic_score_gemma":0.00068317907,"teacher_disagreement_score":0.008294642,"about_ca_system_score_codex":0.0018977735,"about_ca_system_score_gemma":0.0009904923,"threshold_uncertainty_score":0.033146024},"labels":[],"label_agreement":null},{"id":"W3123715058","doi":"","title":"Anomalous Returns in a Neural Network Equity-Ranking Predictor","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Martingale (probability theory); Quarter (Canadian coin); Equity (law); Economics; Ranking (information retrieval); Financial economics; Mathematics; Actuarial science; Statistics; Computer science; Artificial intelligence; Geography","score_opus":0.06442427165142006,"score_gpt":0.2929169373596921,"score_spread":0.22849266570827204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123715058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832824,0.000084527215,0.014980328,0.00023936326,0.000022578659,0.000009444871,0.00012460329,0.0001797336,0.001076955],"genre_scores_gemma":[0.9971138,0.00002023199,0.0022468106,0.000019193774,0.000005267914,0.000004682208,0.00011419172,0.0000047308,0.00047107344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996697,0.000113146205,0.000015890972,0.000073538344,0.000071305454,0.000056562665],"domain_scores_gemma":[0.9981572,0.0012109504,0.00019374282,0.00008773492,0.00028039588,0.000070084396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013078924,0.00036787594,0.00039152973,0.00052094663,0.00021781882,0.0007370716,0.00043993557,0.00058197795,0.001136012],"category_scores_gemma":[0.0048160264,0.00028121326,0.00026079416,0.00046401724,0.0002908372,0.0007356419,0.00038040566,0.00073881954,0.00016214968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022075238,0.00010307672,0.035838205,0.000016137064,0.00005393543,0.000098886194,0.000022673441,0.94774187,0.00094707,0.0006828082,0.00049746654,0.013777184],"study_design_scores_gemma":[0.0000045840816,0.000023881166,0.0029253708,0.0000019178801,0.000005171397,0.0000075467315,0.000003725244,0.9964581,0.00032168016,0.00020528851,0.00003928772,0.0000034126422],"about_ca_topic_score_codex":0.010791101,"about_ca_topic_score_gemma":0.007173515,"teacher_disagreement_score":0.010791101,"about_ca_system_score_codex":0.00077395036,"about_ca_system_score_gemma":0.0005086314,"threshold_uncertainty_score":0.02145654},"labels":[],"label_agreement":null},{"id":"W3123722107","doi":"10.1111/0022-1082.00401","title":"Characteristics of Risk and Return in Risk Arbitrage","year":2001,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":726,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Arbitrage; Risk arbitrage; Index arbitrage; Transaction cost; Uncorrelated; Economics; Risk–return spectrum; Financial economics; Fixed income arbitrage; Econometrics; Market risk; Business; Arbitrage pricing theory; Capital asset pricing model; Mathematics; Microeconomics; Statistics","score_opus":0.01629637676522713,"score_gpt":0.19908695221361292,"score_spread":0.18279057544838578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123722107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99884534,0.00023322702,0.00022673148,0.000032187738,0.0000010454667,0.0000035671465,0.000066417924,0.000004081551,0.000587321],"genre_scores_gemma":[0.9996656,0.000037481663,0.00005325679,0.0000024466929,0.000003412124,0.0000012491242,0.000118870674,0.0000013372547,0.00011630855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991793,0.000175441,0.00011893834,0.00009890558,0.00028356048,0.00014374038],"domain_scores_gemma":[0.9782,0.005840346,0.013741054,0.0005507454,0.0009138548,0.00075403776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016977304,0.0001486609,0.00031579586,0.002034027,0.00024145762,0.0011307693,0.0002532493,0.0004672031,0.0016516377],"category_scores_gemma":[0.016606458,0.00013551975,0.00028758988,0.0019779275,0.0006592429,0.001104967,0.0005644132,0.00049525994,0.00035964028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018016089,0.00005093378,0.9896578,0.000010247401,0.00004275423,0.0003561546,0.0003197772,0.0015272057,0.0007025692,0.00068295037,0.00011455043,0.0063547944],"study_design_scores_gemma":[0.000005331649,0.000082203514,0.9949778,0.000007840448,0.000015999669,0.00060683227,0.00018222799,0.002287111,0.0005187715,0.00072379847,0.00057956023,0.0000125053275],"about_ca_topic_score_codex":0.0016505294,"about_ca_topic_score_gemma":0.0013739773,"teacher_disagreement_score":0.002034027,"about_ca_system_score_codex":0.0006287253,"about_ca_system_score_gemma":0.00020546443,"threshold_uncertainty_score":0.008978605},"labels":[],"label_agreement":null},{"id":"W3123759652","doi":"10.1016/j.qref.2009.02.002","title":"Put your money where your mouth is: Do financial firms follow their own recommendations?","year":2009,"lang":"en","type":"article","venue":"The Quarterly Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Quarter (Canadian coin); Momentum (technical analysis); Sample (material); Business; Economics; Finance; Financial economics; Monetary economics","score_opus":0.03733167375152299,"score_gpt":0.2392821890912577,"score_spread":0.2019505153397347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123759652","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047686445,0.021258326,0.00077265967,0.9502106,0.009134364,0.000018687784,0.00026613244,0.000038465925,0.013532048],"genre_scores_gemma":[0.36671364,0.12642324,0.0075360914,0.4287618,0.029852271,0.00014384631,0.0010346193,0.00025130715,0.039283145],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9934916,0.0026312415,0.00047523374,0.00037376088,0.002294037,0.0007340732],"domain_scores_gemma":[0.94875556,0.018424314,0.006492052,0.0017907814,0.019316092,0.0052212486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012691391,0.00042621518,0.00084208813,0.0021106838,0.0018324543,0.011814223,0.0016431146,0.0098839,0.01076983],"category_scores_gemma":[0.118869215,0.0003042128,0.00039195584,0.0026151387,0.0037507836,0.011222189,0.0017853897,0.008065829,0.006785705],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013485836,0.000120401884,0.009569323,0.00044467347,0.0001332524,0.0001021288,0.00086789444,0.00018924143,0.00009728466,0.024848102,0.76857,0.1949228],"study_design_scores_gemma":[0.00019621765,0.00013543492,0.021506349,0.0035941673,0.00031086197,0.00018739207,0.011784422,0.0010579522,0.00072089746,0.16976003,0.790582,0.00016415375],"about_ca_topic_score_codex":0.008328091,"about_ca_topic_score_gemma":0.020087335,"teacher_disagreement_score":0.012691391,"about_ca_system_score_codex":0.0023318578,"about_ca_system_score_gemma":0.008865014,"threshold_uncertainty_score":0.0671193},"labels":[],"label_agreement":null},{"id":"W3123760756","doi":"10.1046/j.1475-679x.2003.00124.x","title":"Does Greater Firm‐Specific Return Variation Mean More or Less Informed Stock Pricing?","year":2003,"lang":"en","type":"article","venue":"Journal of Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":973,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Capital asset pricing model; Stock (firearms); Earnings; Private information retrieval; Economics; Econometrics; Financial economics; Rate of return; Expected return; Public information; Business; Monetary economics; Finance; Statistics","score_opus":0.10316306720795665,"score_gpt":0.3123198662043703,"score_spread":0.20915679899641365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123760756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919491,0.0008604696,0.0026834074,0.0023862054,0.00003038255,0.000005967032,0.00022032001,0.000020377134,0.0018437416],"genre_scores_gemma":[0.9992238,0.00011662471,0.00017807532,0.00018090168,0.000061381346,0.000001597393,0.00006938821,0.000003938923,0.00016440621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884427,0.00038227873,0.00010784414,0.00034778536,0.00018314211,0.00013467271],"domain_scores_gemma":[0.96248984,0.023068096,0.00905623,0.0033216884,0.0011516555,0.00091251783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026745128,0.00036417233,0.00074145646,0.0011922364,0.0002646064,0.0026516682,0.00060709525,0.001524832,0.0040605254],"category_scores_gemma":[0.02970089,0.00022004881,0.00054492045,0.0015824346,0.0018368049,0.002777991,0.00071404775,0.0010040116,0.00069427106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014501121,0.0002629022,0.9398525,0.0001321605,0.00071920134,0.00057322066,0.00075121346,0.0038157448,0.004090508,0.011314419,0.0021076112,0.034930415],"study_design_scores_gemma":[0.00004746978,0.0003001516,0.936159,0.000032687723,0.00025687067,0.0006749047,0.0008475827,0.010775113,0.0023693834,0.047437757,0.0010360511,0.00006307615],"about_ca_topic_score_codex":0.0017350486,"about_ca_topic_score_gemma":0.00095189014,"teacher_disagreement_score":0.0040605254,"about_ca_system_score_codex":0.00042360765,"about_ca_system_score_gemma":0.00018233235,"threshold_uncertainty_score":0.014144361},"labels":[],"label_agreement":null},{"id":"W3123780541","doi":"","title":"Auction versus Dealership Markets","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Order (exchange); Market liquidity; Price formation; Economics; Financial economics; Monetary economics; Finance","score_opus":0.0868610525397569,"score_gpt":0.29704999287215206,"score_spread":0.21018894033239516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123780541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.537912,0.0072799507,0.3055572,0.0041062175,0.00039495056,0.0003444383,0.0017589605,0.0005617302,0.14208448],"genre_scores_gemma":[0.9638463,0.0008186686,0.011183397,0.00016241537,0.00011819239,0.000073566356,0.00023106058,0.000050607294,0.023515766],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871886,0.00044988803,0.00006971635,0.00026626704,0.00030682565,0.0001884114],"domain_scores_gemma":[0.9945756,0.0030698718,0.000972715,0.00059744366,0.00051339174,0.00027100308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022876717,0.000406384,0.0008915888,0.00057669805,0.0004844737,0.0047363867,0.00096340314,0.0012640649,0.026485102],"category_scores_gemma":[0.011149028,0.0003136057,0.00073666015,0.0010800373,0.0007766855,0.004587928,0.00094976305,0.0012094607,0.001206083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011954929,0.00023585439,0.015597917,0.00046758776,0.00027708043,0.00043301046,0.00036906393,0.17255752,0.0028970428,0.6909894,0.0073077455,0.10767237],"study_design_scores_gemma":[0.0005055275,0.0007534514,0.01929326,0.00012326811,0.00021210706,0.0005295832,0.0005674439,0.46524376,0.002434705,0.48082834,0.029410675,0.000097843054],"about_ca_topic_score_codex":0.0034483466,"about_ca_topic_score_gemma":0.0020090337,"teacher_disagreement_score":0.026485102,"about_ca_system_score_codex":0.0015682612,"about_ca_system_score_gemma":0.0010583472,"threshold_uncertainty_score":0.08860153},"labels":[],"label_agreement":null},{"id":"W3123792738","doi":"10.1080/15427560.2014.908881","title":"<i>The New York Times</i>and<i>Wall Street Journal</i>: Does Their Coverage of Earnings Announcements Cause “Stale” News to Become “New” News?","year":2014,"lang":"en","type":"article","venue":"Journal of Behavioral Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of New South Wales; Universidad Nacional del Sur; Accounting and Finance Association of Australia and New Zealand; Australian National University","keywords":"Earnings; Quarter (Canadian coin); Stock (firearms); Media coverage; Economics; Post-earnings-announcement drift; Stock price; Monetary economics; Financial economics; Business; Earnings response coefficient; Accounting; Series (stratigraphy); History","score_opus":0.03017153314303989,"score_gpt":0.2414079091719779,"score_spread":0.21123637602893802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123792738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9664952,0.0022326414,0.00029016356,0.0100675225,0.00031761554,0.0000393921,0.0012766614,0.00001768059,0.019263063],"genre_scores_gemma":[0.9929744,0.0013667387,0.00017652672,0.0011784103,0.00051605667,0.000018773519,0.00088189484,0.000008768512,0.002878336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966764,0.000079952115,0.00003266155,0.00005943724,0.00010431412,0.000056107605],"domain_scores_gemma":[0.9875825,0.003366026,0.0071452917,0.00028107184,0.000803689,0.0008212886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000987591,0.00013089717,0.00019344286,0.0010272552,0.00040451676,0.0018010315,0.00023179025,0.0006650111,0.0065013827],"category_scores_gemma":[0.009803446,0.00011055655,0.00029400256,0.0013470331,0.00056375377,0.0014854909,0.00037990353,0.0006981961,0.00069528975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005244234,0.0002690666,0.9495507,0.00017682105,0.0002035256,0.00025319436,0.0009975057,0.00032731713,0.0012050136,0.00322016,0.013239958,0.030032402],"study_design_scores_gemma":[0.00000925275,0.00006795449,0.99475217,0.00004462999,0.000037298716,0.000053057687,0.0008604022,0.00041581105,0.00036112306,0.00058438117,0.0028049706,0.000008869256],"about_ca_topic_score_codex":0.017019244,"about_ca_topic_score_gemma":0.021126164,"teacher_disagreement_score":0.017019244,"about_ca_system_score_codex":0.0006355985,"about_ca_system_score_gemma":0.00054157496,"threshold_uncertainty_score":0.03384036},"labels":[],"label_agreement":null},{"id":"W3123794435","doi":"10.2139/ssrn.3429811","title":"Annual Report Narratives and the Cost of Equity Capital: U.K. Evidence of a U-Shaped Relation","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Relation (database); Narrative; Equity (law); Cost of capital; Economics; Capital (architecture); Financial economics; Political science; History; Literature; Art; Law; Microeconomics; Archaeology; Incentive; Computer science","score_opus":0.024563658795845458,"score_gpt":0.256505552871001,"score_spread":0.23194189407515556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123794435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.842836,0.0041020545,0.00035469487,0.016560463,0.00017288262,0.00005080864,0.014748605,0.00004671271,0.12112769],"genre_scores_gemma":[0.9830647,0.0019685298,0.00016396547,0.0005775989,0.00006611423,0.000016305083,0.0023684062,0.000029468796,0.011744981],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989497,0.00021669446,0.00016467569,0.00014390895,0.00034887253,0.00017615908],"domain_scores_gemma":[0.9499578,0.014156102,0.027370248,0.0021185102,0.00512937,0.0012679837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017027104,0.00013386615,0.0001840641,0.0019560969,0.0009260349,0.004308571,0.00052972505,0.00071235804,0.015592069],"category_scores_gemma":[0.025767993,0.00021742684,0.0001214909,0.004264258,0.0006371694,0.0021383902,0.0013609158,0.0008145522,0.0020586152],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008056784,0.00013573295,0.7490806,0.00032609244,0.00009455701,0.00042914657,0.014505373,0.00044804413,0.00041740885,0.055049136,0.09686146,0.08184674],"study_design_scores_gemma":[0.000025616435,0.0000454934,0.8630564,0.00022081577,0.000048663493,0.00025177776,0.017790778,0.00039985642,0.00046499312,0.0041251443,0.11352229,0.000048104805],"about_ca_topic_score_codex":0.061132617,"about_ca_topic_score_gemma":0.057057504,"teacher_disagreement_score":0.061132617,"about_ca_system_score_codex":0.0028024323,"about_ca_system_score_gemma":0.001338632,"threshold_uncertainty_score":0.12155354},"labels":[],"label_agreement":null},{"id":"W3123808201","doi":"10.1016/j.ijforecast.2015.09.005","title":"Betas and the myth of market neutrality","year":2016,"lang":"en","type":"article","venue":"International Journal of Forecasting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"HEC Montréal; University of Auckland; University of New South Wales; La Trobe University","keywords":"Construct (python library); Uncorrelated; Economics; Portfolio; Econometrics; Neutrality; Financial economics; Market portfolio; BETA (programming language); Financial market; Computer science; Finance; Statistics; Mathematics","score_opus":0.04358669826179985,"score_gpt":0.22772428023554914,"score_spread":0.1841375819737493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123808201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3994204,0.007718772,0.18659474,0.2303686,0.0026958098,0.00006393215,0.00031583977,0.00025553675,0.17256638],"genre_scores_gemma":[0.9884071,0.00081679,0.0037042892,0.0027116153,0.0014416623,0.000037307902,0.00002679661,0.000034496403,0.0028199577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99699295,0.0014416605,0.00011861189,0.00060245657,0.00056561374,0.0002786714],"domain_scores_gemma":[0.97746503,0.015666606,0.002060413,0.002230508,0.0015267786,0.0010506271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01180839,0.0004131938,0.0007763962,0.001342959,0.0011015183,0.0052066105,0.0010271173,0.0027772526,0.004067475],"category_scores_gemma":[0.046388075,0.0003160269,0.00048736,0.00044598448,0.010731492,0.009364007,0.0021703949,0.005185168,0.0005551867],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006297962,0.000017440907,0.0007576371,0.000020557876,0.000029060486,0.00005958629,0.00026071435,0.0011046012,0.00023510805,0.9870645,0.0018309159,0.008557023],"study_design_scores_gemma":[0.000016339996,0.000012186231,0.00025514292,0.000009466899,0.000003552566,0.000042604483,0.000034805875,0.0016670135,0.00006102804,0.99680257,0.0010879377,0.000007234446],"about_ca_topic_score_codex":0.00031925077,"about_ca_topic_score_gemma":0.00012916898,"teacher_disagreement_score":0.01180839,"about_ca_system_score_codex":0.0010483484,"about_ca_system_score_gemma":0.0006577132,"threshold_uncertainty_score":0.062449515},"labels":[],"label_agreement":null},{"id":"W3123821474","doi":"10.1016/j.iref.2014.06.004","title":"Risk sharing in an asymmetric environment","year":2014,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Business; Investment (military); Financial risk; Risk aversion (psychology); Economics; Actuarial science; Financial economics; Expected utility hypothesis","score_opus":0.02579325128180051,"score_gpt":0.2322864216962083,"score_spread":0.2064931704144078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123821474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54111516,0.0051136147,0.3737811,0.013378012,0.0003512656,0.00008435167,0.0003163675,0.00018623062,0.06567385],"genre_scores_gemma":[0.99200684,0.0010299052,0.0033773577,0.00020747604,0.00021728045,0.000019813055,0.00002846856,0.000012906305,0.003100049],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99666554,0.0015777914,0.00016376539,0.00037427136,0.0008067183,0.00041194653],"domain_scores_gemma":[0.9844097,0.008226356,0.0037283474,0.0018325745,0.0010118787,0.0007911356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004521112,0.00045767266,0.0011589488,0.00092861487,0.00066443277,0.003698141,0.001116009,0.0024856026,0.0042328457],"category_scores_gemma":[0.014704884,0.00043348456,0.0006349543,0.0007380529,0.0026484986,0.0071623544,0.0021239524,0.0019398975,0.00050063094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014185774,0.000104023464,0.0026950093,0.00009356707,0.00013091812,0.0005415853,0.00022046016,0.053389054,0.0010937096,0.9171727,0.0021652558,0.022252059],"study_design_scores_gemma":[0.000019630064,0.00003013526,0.0010115566,0.000018121196,0.000028466806,0.0001471069,0.00008483022,0.03542391,0.00018770828,0.9619578,0.0010702714,0.000020376774],"about_ca_topic_score_codex":0.00047909011,"about_ca_topic_score_gemma":0.00033086643,"teacher_disagreement_score":0.004521112,"about_ca_system_score_codex":0.0010086894,"about_ca_system_score_gemma":0.0007545793,"threshold_uncertainty_score":0.023910224},"labels":[],"label_agreement":null},{"id":"W3123827901","doi":"10.1093/jjfinec/nbx007","title":"Nonparametric Tail Risk, Stock Returns, and the Macroeconomy","year":2017,"lang":"en","type":"article","venue":"Journal of Financial Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Tail risk; Econometrics; Economics; Portfolio; Risk premium; Risk measure; Nonparametric statistics; Stock (firearms); Expected shortfall; Market risk; Systematic risk; Financial economics; Excess return","score_opus":0.032525448758373626,"score_gpt":0.22383859099933692,"score_spread":0.1913131422409633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123827901","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44424108,0.0029672408,0.54607964,0.0007711042,0.00006034217,0.000038088045,0.00031702055,0.00034142606,0.0051840334],"genre_scores_gemma":[0.98664016,0.0005784979,0.011353829,0.00005773997,0.0000622978,0.000019496878,0.00015810096,0.000029175259,0.0011005993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994797,0.00022582336,0.000034172546,0.00008814405,0.00011774298,0.00005445364],"domain_scores_gemma":[0.98936975,0.00683202,0.0019951556,0.0009817193,0.00046449134,0.0003569698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032059024,0.0005184161,0.0005626538,0.0012392139,0.00023179357,0.001464416,0.0007366556,0.0008587025,0.0014323327],"category_scores_gemma":[0.023100968,0.00029292706,0.0004207252,0.0009988125,0.0013735448,0.00349965,0.0013183804,0.0010240728,0.00017529371],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026317275,0.00016404175,0.114644125,0.00014037672,0.0003362846,0.00058759336,0.00021609559,0.40560558,0.0036873491,0.37639594,0.0012835976,0.09667586],"study_design_scores_gemma":[0.000017525668,0.00007127185,0.03258327,0.000046553047,0.000033725373,0.00027949348,0.00005166297,0.6441874,0.000980254,0.32071066,0.0009742182,0.00006392851],"about_ca_topic_score_codex":0.001440056,"about_ca_topic_score_gemma":0.0014434782,"teacher_disagreement_score":0.0032059024,"about_ca_system_score_codex":0.0005975315,"about_ca_system_score_gemma":0.00043993583,"threshold_uncertainty_score":0.0169546},"labels":[],"label_agreement":null},{"id":"W3123832414","doi":"","title":"Market Reactions to Changes in the Dow Jones Industrial Average Index","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Market liquidity; Index (typography); Economics; Financial economics; Stock market; Econometrics; Stock market index; Originality; Stock (firearms); Event study; Actuarial science; Monetary economics; Computer science","score_opus":0.024020083837602957,"score_gpt":0.21308930850088212,"score_spread":0.18906922466327916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123832414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953986,0.00023973743,0.00010029107,0.00016244203,0.00003007358,0.000019655477,0.00049535884,0.0000098115415,0.0035440258],"genre_scores_gemma":[0.99799275,0.00015350882,0.00010798037,0.000058368376,0.000072989424,0.000009245537,0.00085076224,0.0000027559267,0.00075150386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902284,0.00009004715,0.0001422512,0.00014280794,0.00046907165,0.00013298083],"domain_scores_gemma":[0.9881335,0.0011260171,0.008753512,0.00035077467,0.0009764401,0.00065978506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009568864,0.00017378209,0.00023523539,0.0012790771,0.00024108012,0.0014208705,0.00025911897,0.00029429392,0.0023340965],"category_scores_gemma":[0.006526307,0.00008295961,0.00028573172,0.0010260977,0.0003271511,0.0008047375,0.00073658227,0.00053432805,0.00051035546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017468263,0.000089436646,0.98587245,0.000037483995,0.000056642988,0.00014253918,0.00036800484,0.0001516847,0.0008680766,0.00034938508,0.0008343408,0.011055301],"study_design_scores_gemma":[0.0000018152881,0.00007917795,0.99758506,0.00000777766,0.000010180402,0.00006778535,0.00032911872,0.00016241193,0.00040151845,0.00007935998,0.0012695121,0.0000063215593],"about_ca_topic_score_codex":0.0042712567,"about_ca_topic_score_gemma":0.0051256474,"teacher_disagreement_score":0.0042712567,"about_ca_system_score_codex":0.00052746583,"about_ca_system_score_gemma":0.00029828504,"threshold_uncertainty_score":0.008492827},"labels":[],"label_agreement":null},{"id":"W3123837857","doi":"","title":"Consumption Risk and the Cost of Equity Capital","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Quarter (Canadian coin); Economics; Equity (law); Econometrics; Capital asset pricing model; Financial economics; Geography","score_opus":0.06427785233032969,"score_gpt":0.3096619363857806,"score_spread":0.24538408405545092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123837857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867458,0.001469517,0.0016958843,0.00087136816,0.000025283882,0.000012900719,0.0036991318,0.000041647607,0.005438432],"genre_scores_gemma":[0.99641705,0.00037502433,0.00022538571,0.00003070952,0.000022875813,0.000005291554,0.0015193521,0.0000038436597,0.0014003643],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997774,0.000039655075,0.000018804685,0.000045537057,0.000063165295,0.000055388347],"domain_scores_gemma":[0.99645305,0.000868277,0.0021189945,0.00021466373,0.00015678797,0.00018823188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052290823,0.00020778085,0.00018855836,0.00084420387,0.00015815547,0.00096131954,0.00027332295,0.00043374396,0.0035039196],"category_scores_gemma":[0.0044358936,0.00009939289,0.0003364222,0.001313655,0.0002802243,0.0005646521,0.00046457048,0.00058791914,0.0004713487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011078429,0.000055975146,0.9674038,0.000030232635,0.00012843068,0.00014521423,0.00018222391,0.0050918977,0.00025361098,0.008469812,0.002660774,0.0154673625],"study_design_scores_gemma":[0.0000086014625,0.00004467615,0.97571474,0.000032254055,0.000048906444,0.00026935333,0.00015813655,0.010132425,0.0005064311,0.0069830236,0.006085003,0.000016407219],"about_ca_topic_score_codex":0.012545398,"about_ca_topic_score_gemma":0.011664582,"teacher_disagreement_score":0.012545398,"about_ca_system_score_codex":0.0010155066,"about_ca_system_score_gemma":0.00022376385,"threshold_uncertainty_score":0.024944782},"labels":[],"label_agreement":null},{"id":"W3123847735","doi":"10.1506/f2mw-d22d-wnqq-d034","title":"Horizon‐Dependent Underreaction in Financial Analysts' Earnings Forecasts*","year":2006,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Economics; Incentive; Rational expectations; Earnings surprise; Empirical evidence; Financial economics; Information asymmetry; Market efficiency; Econometrics; Microeconomics; Finance; Post-earnings-announcement drift; Earnings response coefficient","score_opus":0.07704131199550716,"score_gpt":0.28781726597479607,"score_spread":0.2107759539792889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123847735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99348384,0.00020905984,0.0037655113,0.00022666,0.000020062635,0.000013450649,0.00006150458,0.000040579187,0.0021794022],"genre_scores_gemma":[0.99937016,0.000039033537,0.00031843496,0.000023978657,0.00001173818,0.000001932056,0.00003010823,0.0000046698206,0.00019989182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972506,0.00095151085,0.0003269958,0.00037026807,0.0008887811,0.00021177044],"domain_scores_gemma":[0.85718894,0.07072481,0.055509638,0.008446964,0.0064068665,0.00172282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076446435,0.000298774,0.00037783274,0.0005704965,0.00016053373,0.0015355569,0.0003399996,0.00071474287,0.0020002888],"category_scores_gemma":[0.09519333,0.0002871775,0.00028326342,0.00035695246,0.00048868835,0.0012467882,0.00066086045,0.0010365818,0.00023795268],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032770678,0.00046930372,0.8313735,0.00018032987,0.0005038023,0.00067799474,0.0023884394,0.032822467,0.036874156,0.008570285,0.0012820871,0.08158058],"study_design_scores_gemma":[0.00006806392,0.00045913743,0.90407896,0.000033276618,0.00014315391,0.00034245994,0.00045540367,0.06843108,0.009692799,0.015319725,0.0008744855,0.00010136555],"about_ca_topic_score_codex":0.0015316964,"about_ca_topic_score_gemma":0.0011681085,"teacher_disagreement_score":0.0076446435,"about_ca_system_score_codex":0.000684369,"about_ca_system_score_gemma":0.00036848636,"threshold_uncertainty_score":0.040429175},"labels":[],"label_agreement":null},{"id":"W3123877221","doi":"10.1016/j.jbankfin.2019.105700","title":"Liquidity risk and expected option returns","year":2019,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Market liquidity; Leverage (statistics); Basis point; Economics; Liquidity risk; Risk premium; Liquidity premium; Bond; Financial economics; Business; Monetary economics; Finance; Mathematics","score_opus":0.017379607584879223,"score_gpt":0.2040376138499085,"score_spread":0.1866580062650293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123877221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94794756,0.005684182,0.027939837,0.005204471,0.00009615769,0.0000150374035,0.0001905688,0.00011763309,0.012804511],"genre_scores_gemma":[0.997027,0.00039049995,0.0003882256,0.00003381386,0.00006251116,0.0000034343516,0.00003190761,0.000007523007,0.0020550739],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996222,0.00016117249,0.000029030849,0.00005474949,0.00006671485,0.0000660798],"domain_scores_gemma":[0.9709364,0.023500865,0.0033929087,0.00052543555,0.00069007947,0.00095424696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023689677,0.00043557413,0.0004827287,0.0010250122,0.00033129315,0.003467705,0.0007096768,0.0022833482,0.007239567],"category_scores_gemma":[0.031353425,0.00044840344,0.00044076404,0.0006645572,0.001416943,0.0058577117,0.0008771114,0.0023576163,0.00056768756],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018022287,0.00058338215,0.114508085,0.00022813122,0.0003816877,0.0029011862,0.0013239391,0.12249286,0.003934793,0.7095582,0.0036759293,0.038609494],"study_design_scores_gemma":[0.000104744,0.00018880008,0.04804431,0.000079997364,0.00014305915,0.000833257,0.0003841082,0.16968329,0.00076144794,0.7781272,0.0015550969,0.00009472754],"about_ca_topic_score_codex":0.0006162702,"about_ca_topic_score_gemma":0.0006385691,"teacher_disagreement_score":0.007239567,"about_ca_system_score_codex":0.0008045113,"about_ca_system_score_gemma":0.00033297643,"threshold_uncertainty_score":0.024218798},"labels":[],"label_agreement":null},{"id":"W3123879474","doi":"10.1111/fire.12147","title":"Short Sale Constraints and Single Stock Futures Introductions","year":2018,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Futures contract; Exploit; Futures market; Stock (firearms); Loan; Business; Financial economics; Economics; Stock exchange; Monetary economics; Finance; Computer science; Engineering","score_opus":0.04694087046013411,"score_gpt":0.2498797038740352,"score_spread":0.20293883341390107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123879474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99483126,0.00025961187,0.00025330792,0.00012965468,0.000013836666,0.000029300352,0.00029054473,0.0000088442575,0.004183609],"genre_scores_gemma":[0.9978461,0.00015058319,0.00018020006,0.000038501657,0.000023316295,0.000024493644,0.00027434417,0.0000031229213,0.0014592762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992193,0.00026203957,0.000061664694,0.00011539746,0.00024867654,0.000092797716],"domain_scores_gemma":[0.98610467,0.006727836,0.0054805903,0.0005241746,0.00043469193,0.00072809693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018909104,0.0002440545,0.0005015002,0.00039693242,0.00043263313,0.0016705515,0.00048749452,0.0007684401,0.008913253],"category_scores_gemma":[0.007966033,0.00013204463,0.00023681603,0.00046421416,0.0006827023,0.0008958563,0.00059857464,0.0010373638,0.00044456808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.026222935,0.016171543,0.5784151,0.0018479481,0.0007825156,0.003275404,0.002933955,0.049760293,0.0585831,0.058865443,0.012291324,0.19085053],"study_design_scores_gemma":[0.0015414747,0.011422493,0.8823059,0.00016356894,0.00038278074,0.0005367614,0.002707547,0.02571183,0.021552527,0.024849787,0.028605444,0.00021993944],"about_ca_topic_score_codex":0.0027237155,"about_ca_topic_score_gemma":0.003574311,"teacher_disagreement_score":0.008913253,"about_ca_system_score_codex":0.00090143306,"about_ca_system_score_gemma":0.0004694692,"threshold_uncertainty_score":0.02981776},"labels":[],"label_agreement":null},{"id":"W3123893865","doi":"10.2139/ssrn.2561008","title":"Downside Variance Risk Premium","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Bank of Canada","funders":"","keywords":"Variance risk premium; Downside risk; Risk premium; Variance (accounting); Volatility risk premium; Economics; Business; Econometrics; Actuarial science; Financial economics; Volatility (finance); Portfolio; Accounting; Stochastic volatility","score_opus":0.021950799223950556,"score_gpt":0.20687363890333205,"score_spread":0.1849228396793815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123893865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7671843,0.0013692464,0.11600141,0.0049487334,0.00042709414,0.000075358636,0.0005455438,0.0008362687,0.10861201],"genre_scores_gemma":[0.9697814,0.00032973645,0.0017708167,0.00015975439,0.00027440168,0.000007053367,0.00013729895,0.000035079294,0.027504388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997317,0.000027817963,0.000013858251,0.00007213168,0.00008882269,0.000065734785],"domain_scores_gemma":[0.9985959,0.00047801487,0.00033325117,0.0001961438,0.00020469756,0.00019199778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006371071,0.0004516067,0.00045186337,0.00048668848,0.00023666189,0.0015068471,0.00038312573,0.0010874646,0.011631174],"category_scores_gemma":[0.0039869575,0.00021741255,0.00044144856,0.00021242951,0.00044021645,0.0013344854,0.0007865994,0.0016577526,0.0011663279],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042621206,0.0004747231,0.04692569,0.00016899845,0.0002310574,0.0020444458,0.00030748814,0.044180635,0.042619154,0.72183144,0.017613024,0.12317715],"study_design_scores_gemma":[0.000103902225,0.00042743437,0.117897004,0.00011365681,0.0002789694,0.004038288,0.0002684343,0.24377583,0.016716965,0.60142094,0.014832206,0.00012633129],"about_ca_topic_score_codex":0.0004909566,"about_ca_topic_score_gemma":0.0004484605,"teacher_disagreement_score":0.011631174,"about_ca_system_score_codex":0.0003604591,"about_ca_system_score_gemma":0.00029832398,"threshold_uncertainty_score":0.03891009},"labels":[],"label_agreement":null},{"id":"W3123941123","doi":"","title":"Liquidity and Market Efficiency: A Large Sample Study","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Tick size; Predictability; Business; Sample (material); Market capitalization; Order (exchange); Monetary economics; Market maker; Financial economics; Econometrics; Economics; Finance; Stock market","score_opus":0.013626159140925848,"score_gpt":0.22249127358715204,"score_spread":0.20886511444622619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123941123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985782,0.00016235301,0.00065190584,0.000041210795,0.000003574814,0.0000399094,0.00028748746,0.0000078365865,0.00022763266],"genre_scores_gemma":[0.9986143,0.000076761025,0.00047318006,0.000039522307,0.00002578475,0.00003622053,0.0005397499,0.0000060200077,0.0001883175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99734604,0.0015675011,0.0001637516,0.0004439059,0.00030638344,0.00017239281],"domain_scores_gemma":[0.98529774,0.00905522,0.0019166061,0.0023319332,0.0005749859,0.00082352414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039704456,0.00043828407,0.0007053528,0.0011843995,0.0007701306,0.0007749917,0.00057649415,0.0006627603,0.0032631177],"category_scores_gemma":[0.015550568,0.0003571129,0.0007452065,0.0010440203,0.0006391159,0.0009418318,0.0010457535,0.0008488238,0.0005596277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011446052,0.0011016288,0.9805948,0.000040143015,0.0011145879,0.00067011575,0.0006981521,0.00030534263,0.0010460115,0.00028414332,0.0010510542,0.011949432],"study_design_scores_gemma":[0.00021764592,0.0016067898,0.99165606,0.000012454869,0.0003897096,0.0011083344,0.00056658225,0.0025710755,0.00039092143,0.0002797517,0.0011682551,0.000032400967],"about_ca_topic_score_codex":0.0025182446,"about_ca_topic_score_gemma":0.0028155018,"teacher_disagreement_score":0.0039704456,"about_ca_system_score_codex":0.00023220835,"about_ca_system_score_gemma":0.0002843425,"threshold_uncertainty_score":0.020997941},"labels":[],"label_agreement":null},{"id":"W3123942211","doi":"10.1017/s0022109017000655","title":"To Group or Not to Group? Evidence from Mutual Fund Databases","year":2017,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; York University; Western University; University of Lethbridge","funders":"","keywords":"Business; Mutual fund; Finance; Database; Fund administration; Commission; Manager of managers fund; Fund of funds; Actuarial science; Accounting; Computer science","score_opus":0.20255325407892674,"score_gpt":0.3495189233224481,"score_spread":0.14696566924352136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123942211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9587007,0.008048803,0.0010136451,0.0068462268,0.000076688135,0.000103606086,0.013130441,0.000045853456,0.012034086],"genre_scores_gemma":[0.9814975,0.0026939476,0.0012872407,0.0009892052,0.00015135444,0.00008754704,0.012577635,0.000025101575,0.0006903688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9636808,0.017858855,0.005411628,0.0034793692,0.008261694,0.001307678],"domain_scores_gemma":[0.6344847,0.24201576,0.07791421,0.026154092,0.015707048,0.0037241755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.032068986,0.00026655968,0.0005262573,0.005098652,0.00097374874,0.0037588456,0.0022992163,0.001749836,0.0044161472],"category_scores_gemma":[0.24373657,0.00032371905,0.00048086134,0.0074553313,0.0011862037,0.0050001345,0.003627737,0.0008720505,0.0015083753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017724127,0.00020111178,0.9117325,0.0009717459,0.0005315618,0.00020023642,0.003439085,0.00025630931,0.00017696722,0.0035277826,0.016321927,0.060868476],"study_design_scores_gemma":[0.00035534042,0.00024232538,0.91854346,0.0016684263,0.0006976732,0.0012594146,0.011079531,0.002454873,0.0012733613,0.0036913457,0.05866258,0.00007158488],"about_ca_topic_score_codex":0.009131002,"about_ca_topic_score_gemma":0.0068919384,"teacher_disagreement_score":0.032068986,"about_ca_system_score_codex":0.00090885634,"about_ca_system_score_gemma":0.0010755664,"threshold_uncertainty_score":0.169599},"labels":[],"label_agreement":null},{"id":"W3123963245","doi":"10.2139/ssrn.2081295","title":"Exchange Trading Rules, Surveillance and Insider Trading","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Insider trading; Business; Alternative trading system; Algorithmic trading; Pairs trade; High-frequency trading; Financial economics; Economics; Finance","score_opus":0.039684396638286955,"score_gpt":0.20310804311769845,"score_spread":0.1634236464794115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123963245","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9654238,0.0028757635,0.016136033,0.0013900397,0.000057219368,0.000018544742,0.00027236776,0.00004631994,0.013779976],"genre_scores_gemma":[0.9975151,0.00048041306,0.00066706765,0.000027005624,0.000045723988,0.0000029126825,0.000075502605,0.0000049641367,0.0011812368],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99924636,0.00033531943,0.00008273895,0.00014718703,0.00010927929,0.00007911641],"domain_scores_gemma":[0.96043915,0.025677966,0.010308301,0.0017498769,0.00093108957,0.00089361204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025046114,0.00022769698,0.000615917,0.00081143127,0.00041948014,0.0044966913,0.00045726166,0.0013653192,0.0038014632],"category_scores_gemma":[0.028143343,0.00022257525,0.0003606545,0.0008329176,0.0013064097,0.004474561,0.0005704704,0.0009763742,0.00033267913],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018394913,0.00065139047,0.32973093,0.00032522005,0.0004281851,0.0020272534,0.0015687878,0.06307945,0.0047965706,0.47897926,0.0060204803,0.11055308],"study_design_scores_gemma":[0.0001680759,0.00038469656,0.20084248,0.00012454692,0.00024358758,0.0018603393,0.0011640002,0.18338536,0.0015167121,0.60518533,0.005019861,0.00010496598],"about_ca_topic_score_codex":0.001534972,"about_ca_topic_score_gemma":0.0012011806,"teacher_disagreement_score":0.0044966913,"about_ca_system_score_codex":0.00044717686,"about_ca_system_score_gemma":0.0003438872,"threshold_uncertainty_score":0.013245821},"labels":[],"label_agreement":null},{"id":"W3123967381","doi":"10.2139/ssrn.2612898","title":"Stock Market Investorss Use of Stop Losses and the Disposition Effect","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Disposition; Disposition effect; Business; Monetary economics; Stock market; Stock (firearms); Economics; Engineering; Psychology","score_opus":0.02507272935773081,"score_gpt":0.2127006301646519,"score_spread":0.1876279008069211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123967381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845462,0.00020340587,0.00091934635,0.00043106588,0.000018446819,0.00001149645,0.00008953815,0.000021069298,0.013759496],"genre_scores_gemma":[0.9988438,0.0000510137,0.00008194149,0.000030562238,0.000010495014,0.00000154774,0.000032898497,0.000002767821,0.0009451055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964035,0.0000950925,0.000037474747,0.00005820088,0.00009950917,0.00006939139],"domain_scores_gemma":[0.9882218,0.0052605276,0.004207174,0.0009370452,0.00055860355,0.0008147435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012808351,0.00013615158,0.0002664517,0.00049249304,0.00029320366,0.0015895882,0.00024198885,0.0007479478,0.0049224333],"category_scores_gemma":[0.013767393,0.00013059734,0.0002029175,0.0002219484,0.00040585437,0.0011689746,0.00060413184,0.00096875,0.00048648467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021283398,0.00092202215,0.9032799,0.00006330613,0.00032528178,0.00059575937,0.00054528326,0.0036530222,0.00439468,0.022507463,0.0018931028,0.059691835],"study_design_scores_gemma":[0.00015334862,0.0008457993,0.9641225,0.000030605792,0.00025006427,0.00058038806,0.000914688,0.009153979,0.0023597695,0.018023806,0.0035246592,0.000040439616],"about_ca_topic_score_codex":0.00086022745,"about_ca_topic_score_gemma":0.001172087,"teacher_disagreement_score":0.0049224333,"about_ca_system_score_codex":0.00034480027,"about_ca_system_score_gemma":0.00025328193,"threshold_uncertainty_score":0.016467154},"labels":[],"label_agreement":null},{"id":"W3123968087","doi":"","title":"Fund Performance and Subsequent Risk: A Study of Mutual Fund Tournaments Using Holdings-Based Measures","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; HEC Montréal","funders":"","keywords":"Mutual fund; Volatility (finance); Stylized fact; Rate of return on a portfolio; Portfolio; Target date fund; Standard deviation; Closed-end fund; Economics; Econometrics; Financial economics; Fund of funds; Absolute return; Modern portfolio theory; Open-end fund; Monetary economics; Investment performance; Finance; Institutional investor; Mathematics; Microeconomics; Market liquidity; Statistics; Return on investment","score_opus":0.06145690005373276,"score_gpt":0.25211861436711686,"score_spread":0.19066171431338408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123968087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770916,0.000301688,0.0009872643,0.000080372105,0.0000028325398,0.0000066543143,0.000019842484,0.0000053348967,0.0008868084],"genre_scores_gemma":[0.9995396,0.000066257584,0.00020576062,0.000008354407,0.00001139672,0.0000044511567,0.000029454162,0.0000018612159,0.00013284397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861145,0.0006368148,0.0000765442,0.00020352093,0.00025771267,0.00021390717],"domain_scores_gemma":[0.96895254,0.01614194,0.010494254,0.0014676497,0.0007137058,0.0022298766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040571173,0.00033378374,0.0005268094,0.0015396902,0.00065123657,0.0022042687,0.00065420265,0.0007945422,0.0017113644],"category_scores_gemma":[0.028528778,0.00015554896,0.00062117726,0.0015872031,0.0012184026,0.0016451926,0.0015035177,0.001068882,0.00015146885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058083556,0.00034077847,0.9522575,0.000034812187,0.0003733002,0.0002771178,0.0014730575,0.004717555,0.0009637006,0.01366644,0.0002601422,0.02505464],"study_design_scores_gemma":[0.00004661213,0.0006375922,0.9391214,0.000031695203,0.00015426261,0.00033147482,0.001046814,0.040834107,0.0006190875,0.016255448,0.0008688803,0.000052614054],"about_ca_topic_score_codex":0.0022181673,"about_ca_topic_score_gemma":0.0012544278,"teacher_disagreement_score":0.0040571173,"about_ca_system_score_codex":0.00091160735,"about_ca_system_score_gemma":0.00028266938,"threshold_uncertainty_score":0.02145636},"labels":[],"label_agreement":null},{"id":"W3123980168","doi":"10.5539/ijef.v6n8p23","title":"Minimax: Portfolio Choice Based on Pessimistic Decision Making","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Minimax; Pessimism; Portfolio; Variance (accounting); Asset (computer security); Asset allocation; Econometrics; Economics; Real estate; Project portfolio management; Actuarial science; Computer science; Microeconomics; Financial economics; Finance","score_opus":0.022178123796569648,"score_gpt":0.24205355212255994,"score_spread":0.2198754283259903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123980168","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08854488,0.00065147824,0.9049346,0.0007502448,0.000054519358,0.00012161754,0.000062481246,0.00020093627,0.0046792906],"genre_scores_gemma":[0.86405206,0.00035256692,0.13234293,0.00018943314,0.000055220105,0.00018249064,0.000072997536,0.00003635115,0.0027158875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99885297,0.0006217795,0.00004924632,0.0001426194,0.00024627152,0.00008705853],"domain_scores_gemma":[0.9972663,0.0019241039,0.00031457932,0.00014254123,0.00023381964,0.00011868222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034926313,0.00080915424,0.0011288078,0.0006516445,0.00036999927,0.0012410708,0.0012652809,0.000961326,0.0022519587],"category_scores_gemma":[0.008130313,0.00048022333,0.000556971,0.00057227816,0.0008681559,0.0015957275,0.001035405,0.0009930269,0.00025330583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027577183,0.0001528744,0.0030986872,0.00012233347,0.00020189643,0.00014826494,0.00017114574,0.8473494,0.0022660438,0.054744873,0.0016138165,0.089854866],"study_design_scores_gemma":[0.000040174997,0.0001519902,0.00035278438,0.00002487303,0.000017364935,0.000039216433,0.000012769615,0.9699565,0.00064317987,0.028198054,0.0005496574,0.000013440521],"about_ca_topic_score_codex":0.00096155045,"about_ca_topic_score_gemma":0.0007605318,"teacher_disagreement_score":0.0034926313,"about_ca_system_score_codex":0.00077964977,"about_ca_system_score_gemma":0.001182732,"threshold_uncertainty_score":0.018471062},"labels":[],"label_agreement":null},{"id":"W3123985161","doi":"10.1177/0148558x11409159","title":"Conflict of interest reforms and analysts’ research biases","year":2011,"lang":"en","type":"article","venue":"TSpace","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Hong Kong; Chulalongkorn University; City University of Hong Kong; Research Foundation of CFA Institute","keywords":"Earnings; Optimism; Profitability index; Stock (firearms); Investment decisions; Investment banking; Economics; Investment (military); Business; Monetary economics; Finance; Behavioral economics; Political science","score_opus":0.5062773339973566,"score_gpt":0.37516735946265084,"score_spread":0.1311099745347058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123985161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9061947,0.0070763174,0.0073412117,0.027156783,0.0004322705,0.00021636758,0.00037823987,0.000047173984,0.051156834],"genre_scores_gemma":[0.99649966,0.00051305577,0.00072155794,0.0014250182,0.00019083923,0.000026865064,0.00005383828,0.0000043968034,0.0005648403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.96436876,0.019483518,0.003704574,0.0023049568,0.00864417,0.0014940044],"domain_scores_gemma":[0.5531784,0.22260045,0.18841687,0.014222591,0.01849478,0.0030868836],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.042154957,0.00016868974,0.00032504176,0.0018305392,0.0007519879,0.003000706,0.0006820416,0.0012064931,0.0014458803],"category_scores_gemma":[0.24794717,0.00018798375,0.0002580219,0.0020580953,0.0013646146,0.0016377019,0.0012474396,0.0016569707,0.0002830391],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010422629,0.00020173042,0.7280118,0.00037918575,0.0006187656,0.0005125341,0.015744923,0.0024567335,0.0020063757,0.0256406,0.010022962,0.21336211],"study_design_scores_gemma":[0.00014237202,0.00030328066,0.9222789,0.0005141497,0.00022243573,0.00092062267,0.008696892,0.004245499,0.0043202676,0.023673238,0.034542594,0.00013971061],"about_ca_topic_score_codex":0.0026818924,"about_ca_topic_score_gemma":0.003671626,"teacher_disagreement_score":0.9987935,"about_ca_system_score_codex":0.0023970318,"about_ca_system_score_gemma":0.0013865919,"threshold_uncertainty_score":0.22293937},"labels":[],"label_agreement":null},{"id":"W3123992250","doi":"10.1506/j6p4-2uyp-hfxy-rbt1","title":"The Declining Value‐relevance of Accounting Information and Non‐Information‐based Trading: An Empirical Analysis*","year":2004,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Accounting information system; Earnings; Stock (firearms); Financial economics; Relevance (law); Book value; Value (mathematics); Econometrics; Accounting; Geography","score_opus":0.08904163898186351,"score_gpt":0.32938641623950926,"score_spread":0.24034477725764575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123992250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99885726,0.00013487726,0.00019701036,0.00014013467,0.0000023321043,0.000007226407,0.00006794479,0.0000036947088,0.0005894808],"genre_scores_gemma":[0.99931526,0.00006696485,0.00010213871,0.000030450366,0.000017056138,0.0000040502873,0.00017340925,0.0000028072063,0.00028789756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998818,0.00052537234,0.00012395483,0.00016557657,0.00024140533,0.00012573345],"domain_scores_gemma":[0.8291301,0.13788615,0.02002045,0.0061003943,0.0039803227,0.0028825665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051007695,0.00037443708,0.0006202151,0.0017704167,0.00068630226,0.0021508448,0.0010904055,0.0011140779,0.005861586],"category_scores_gemma":[0.05076025,0.00034738338,0.0007194099,0.001956134,0.0016158303,0.0019656827,0.0013207984,0.0023355025,0.00090149784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058480573,0.00075766724,0.9842827,0.00005211988,0.00016974825,0.00048637978,0.00085642363,0.001414991,0.00043940207,0.0013294315,0.0006618134,0.0089645805],"study_design_scores_gemma":[0.000068714,0.00038041777,0.9709489,0.000023437517,0.00019573266,0.0005231089,0.0012019192,0.023138747,0.00046384937,0.0022434248,0.0007851604,0.000026676043],"about_ca_topic_score_codex":0.0065324907,"about_ca_topic_score_gemma":0.003428742,"teacher_disagreement_score":0.0065324907,"about_ca_system_score_codex":0.00060140644,"about_ca_system_score_gemma":0.0004213893,"threshold_uncertainty_score":0.02697581},"labels":[],"label_agreement":null},{"id":"W3124009504","doi":"","title":"Size Matters: The Impact of Capital Market Liberalization on Individual Firms","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Liberalization; Economics; Volatility (finance); Stock market; Capital market; Monetary economics; Financial economics; Market economy; Geography; Context (archaeology)","score_opus":0.04094800586477136,"score_gpt":0.2883012330904203,"score_spread":0.2473532272256489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124009504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98195857,0.00072254386,0.0013275694,0.0011307162,0.000029796365,0.00003075071,0.00044161652,0.000054160613,0.01430418],"genre_scores_gemma":[0.99436426,0.00020450167,0.00023738995,0.0001307321,0.000035620193,0.000009305208,0.00019282705,0.00001054754,0.0048148455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992755,0.00016158023,0.00003840715,0.00017628445,0.0001860552,0.00016221478],"domain_scores_gemma":[0.9835174,0.008298697,0.0044427346,0.0015732194,0.00075047906,0.0014174558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013968067,0.00027049516,0.0005106971,0.00047461735,0.0003264588,0.002042583,0.0006491192,0.000768484,0.01288101],"category_scores_gemma":[0.010772203,0.00015311441,0.0006207707,0.0006423934,0.00081860216,0.0020733825,0.001111593,0.0008504482,0.0006971781],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031453792,0.000686745,0.73901516,0.0004747141,0.0011723968,0.0021958766,0.0012944533,0.037157096,0.044390693,0.019226115,0.004240208,0.14700112],"study_design_scores_gemma":[0.000091218426,0.00074121833,0.9676568,0.000030953066,0.00026215956,0.00023470738,0.0008601974,0.0046063587,0.009240889,0.007871702,0.0083677,0.000036022593],"about_ca_topic_score_codex":0.005476557,"about_ca_topic_score_gemma":0.0070549618,"teacher_disagreement_score":0.01288101,"about_ca_system_score_codex":0.0009921012,"about_ca_system_score_gemma":0.00073791225,"threshold_uncertainty_score":0.043091297},"labels":[],"label_agreement":null},{"id":"W3124010915","doi":"10.24148/wp2014-22","title":"Explaining Exchange Rate Anomalies in a Model with Taylor-Rule Fundamentals and Consistent Expectations","year":2016,"lang":"en","type":"article","venue":"Federal Reserve Bank of San Francisco, Working Paper Series","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Taylor rule; Econometrics; Exchange rate; Economics; Volatility (finance); Rational expectations; Anomaly (physics); Random walk; Interest rate; Mathematics; Monetary policy; Statistics; Keynesian economics; Finance","score_opus":0.04210382547742683,"score_gpt":0.2241065111339712,"score_spread":0.18200268565654437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124010915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7248833,0.0008964387,0.25664446,0.0045238473,0.00013966441,0.000038862265,0.00048476228,0.00033609275,0.012052479],"genre_scores_gemma":[0.98789704,0.0004475946,0.008302991,0.000114627,0.00011282373,0.000025956064,0.00016594138,0.000037150785,0.002895937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976367,0.00009175054,0.00001627223,0.00005192069,0.000035146644,0.000041193896],"domain_scores_gemma":[0.9980817,0.0011665333,0.00047009726,0.00008468685,0.00010553107,0.00009144824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009826958,0.00051285856,0.00073218095,0.0004026802,0.00028899495,0.0014384867,0.00089305453,0.0017150203,0.0015751146],"category_scores_gemma":[0.006006533,0.00039124748,0.0006255696,0.0003724198,0.0005690636,0.0017512585,0.0006639735,0.0010609546,0.000300329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010497601,0.00007598532,0.0068052,0.00006319472,0.000060495167,0.0006026026,0.00039826793,0.6924108,0.0016806744,0.287846,0.0021802117,0.0077715972],"study_design_scores_gemma":[0.00003386407,0.000023357532,0.00082085485,0.000008288608,0.000012677512,0.000044433535,0.00002221201,0.9164961,0.00010575132,0.081996486,0.0004226166,0.000013350491],"about_ca_topic_score_codex":0.007238248,"about_ca_topic_score_gemma":0.003883613,"teacher_disagreement_score":0.007238248,"about_ca_system_score_codex":0.000578297,"about_ca_system_score_gemma":0.00061569747,"threshold_uncertainty_score":0.014392197},"labels":[],"label_agreement":null},{"id":"W3124030155","doi":"10.17578/17-3/4-4","title":"Mitigation of U.S. Home Bias in the Valuation of Canadian Natural Resource Firms: Choice of Reporting and Transaction Currency","year":2013,"lang":"en","type":"article","venue":"Multinational Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Currency; Liberian dollar; Valuation (finance); Business; Monetary economics; Database transaction; Value (mathematics); Financial market; Economics; Finance","score_opus":0.08331337403177452,"score_gpt":0.2606752253814009,"score_spread":0.1773618513496264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124030155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858381,0.00014670687,0.00031106634,0.0004262548,0.000011224931,0.000031731124,0.00015553458,0.000007474365,0.013071819],"genre_scores_gemma":[0.9983701,0.00009359544,0.00022688786,0.00006617892,0.000004933057,0.000003834453,0.000081625505,0.0000014915784,0.0011515209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981548,0.0003285714,0.00006450559,0.00012803389,0.0009402885,0.00038378293],"domain_scores_gemma":[0.9888504,0.0025869533,0.00515822,0.00065345544,0.0019128957,0.000838095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025017182,0.0001838908,0.00019705138,0.0008323586,0.0012126005,0.0018158297,0.00037999338,0.00030548987,0.0020550496],"category_scores_gemma":[0.018790154,0.00007956308,0.00021743638,0.0012689602,0.00081272935,0.0005767824,0.0006021242,0.00051919796,0.00011811208],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067830813,0.00016696296,0.91842395,0.00005574704,0.000098578916,0.00028767154,0.0018339971,0.00096301077,0.0037379297,0.0048622023,0.0017479748,0.06714376],"study_design_scores_gemma":[0.000031171825,0.00019290962,0.9857184,0.000030409334,0.00006466095,0.00011384382,0.0037947344,0.0016271947,0.002562121,0.000681305,0.00514357,0.000039498973],"about_ca_topic_score_codex":0.7559597,"about_ca_topic_score_gemma":0.85585904,"teacher_disagreement_score":0.24404031,"about_ca_system_score_codex":0.0070555396,"about_ca_system_score_gemma":0.009392271,"threshold_uncertainty_score":0.490955},"labels":[],"label_agreement":null},{"id":"W3124057362","doi":"","title":"Fundamental Analysis of Banks: The Use of Financial Statement Information to Screen Winners from Losers.","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Earnings; Profitability index; Financial statement; Business; Valuation (finance); Economics; Stock (firearms); Sample (material); Index (typography); Actuarial science; Financial economics; Econometrics; Monetary economics; Accounting; Finance; Computer science","score_opus":0.03724709779194372,"score_gpt":0.23564334198748954,"score_spread":0.19839624419554583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124057362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9592325,0.0011986918,0.024685832,0.0009953352,0.0000915175,0.000098997996,0.0008797329,0.00024112132,0.012576386],"genre_scores_gemma":[0.9933268,0.00012336334,0.0053137843,0.000072089206,0.000038313796,0.00001077159,0.00034696635,0.000006373483,0.0007614995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992914,0.00021798714,0.000046186822,0.0000950614,0.0002757637,0.000073555544],"domain_scores_gemma":[0.9921542,0.002587981,0.0032124184,0.00040060142,0.0012302474,0.00041450007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027134793,0.00039583867,0.00032487413,0.0033792742,0.0003766431,0.0015366443,0.00041952994,0.00040971057,0.0013330893],"category_scores_gemma":[0.0125779,0.00013867064,0.00023299565,0.0011716221,0.00039426616,0.0016080606,0.0009208811,0.00048234995,0.00033083107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086312776,0.00028193937,0.64584506,0.00015822516,0.00030651197,0.00020695932,0.00079229154,0.006913806,0.008378421,0.013428591,0.0071101035,0.315715],"study_design_scores_gemma":[0.00008595086,0.0009731835,0.7847246,0.00014151157,0.0001822466,0.00051684893,0.0013954015,0.1600741,0.008280328,0.034313425,0.009174753,0.00013755266],"about_ca_topic_score_codex":0.0032236285,"about_ca_topic_score_gemma":0.004231196,"teacher_disagreement_score":0.0033792742,"about_ca_system_score_codex":0.000553721,"about_ca_system_score_gemma":0.0009245384,"threshold_uncertainty_score":0.014350474},"labels":[],"label_agreement":null},{"id":"W3124057633","doi":"10.3390/jrfm14020050","title":"Know Your Clients’ Behaviours: A Cluster Analysis of Financial Transactions","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University","funders":"Mitacs; Fields Institute for Research in Mathematical Sciences","keywords":"Residence; Database transaction; Investment (military); Finance; Cluster analysis; Business; Actuarial science; Economics; Database; Computer science; Artificial intelligence; Demographic economics","score_opus":0.06798073257847803,"score_gpt":0.18115057530074583,"score_spread":0.1131698427222678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124057633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882161,0.00014875169,0.002507059,0.00034320334,0.000026447327,0.00007585214,0.007089896,0.00012306323,0.0014694481],"genre_scores_gemma":[0.9762683,0.00010401958,0.006834299,0.000043270018,0.000018729925,0.0000759272,0.0149512105,0.00003926337,0.0016649562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893457,0.00023623576,0.000090246715,0.00025800808,0.00023141284,0.00024951113],"domain_scores_gemma":[0.9968072,0.0010323385,0.000547184,0.00038111254,0.0008095074,0.00042272927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013275298,0.00038268606,0.0004274533,0.0036633185,0.0008911926,0.001548972,0.0006996708,0.0005501523,0.0014051221],"category_scores_gemma":[0.0057258904,0.00012227622,0.0006452835,0.0042841886,0.00050544477,0.0007678106,0.0009215666,0.00064111175,0.00069872325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064035907,0.00049563806,0.89960605,0.00011057029,0.00024325706,0.000296974,0.003758031,0.0069159707,0.0012925836,0.0020019114,0.0180321,0.06660647],"study_design_scores_gemma":[0.000020025056,0.00007287708,0.9026747,0.00005210576,0.000053778236,0.00023950162,0.0073682196,0.07908499,0.0007477257,0.0018264541,0.007791785,0.00006777362],"about_ca_topic_score_codex":0.11797235,"about_ca_topic_score_gemma":0.13331619,"teacher_disagreement_score":0.11797235,"about_ca_system_score_codex":0.0016565669,"about_ca_system_score_gemma":0.0013492551,"threshold_uncertainty_score":0.23457134},"labels":[],"label_agreement":null},{"id":"W3124060273","doi":"","title":"Are Forward Premia Mean Reverting","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mean reversion; Inefficiency; Economics; Econometrics; Financial economics; Risk premium; Term (time); Microeconomics","score_opus":0.02050732545403255,"score_gpt":0.21326430104906927,"score_spread":0.1927569755950367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124060273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9704789,0.0004483799,0.02053986,0.00048342734,0.00008696826,0.00005281546,0.00064548355,0.00022073537,0.0070434087],"genre_scores_gemma":[0.9946773,0.00021131666,0.0022276726,0.00007272731,0.00008532618,0.00002764406,0.0003382684,0.000030886564,0.002328787],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903035,0.00017468767,0.00008723873,0.00029766653,0.00022847689,0.00018158909],"domain_scores_gemma":[0.98349965,0.0072433692,0.0057100574,0.002227958,0.0009462986,0.00037271323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033772704,0.0003402569,0.00069187477,0.0009933828,0.00028819896,0.002068668,0.00044411083,0.00092758023,0.006873572],"category_scores_gemma":[0.021404527,0.00028593634,0.0006132761,0.0006628961,0.0011054097,0.001902313,0.0004618105,0.0010550312,0.0012029227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014407793,0.00045637792,0.40596154,0.000403151,0.0008433417,0.0020978737,0.0017463415,0.010955095,0.03206762,0.27847743,0.0048545403,0.26069593],"study_design_scores_gemma":[0.00022137446,0.0011534737,0.6502895,0.00010211499,0.0004473644,0.0046880636,0.000564668,0.059805114,0.020711321,0.24622391,0.015617327,0.00017583148],"about_ca_topic_score_codex":0.0005331038,"about_ca_topic_score_gemma":0.00040841632,"teacher_disagreement_score":0.006873572,"about_ca_system_score_codex":0.00039397218,"about_ca_system_score_gemma":0.0003726581,"threshold_uncertainty_score":0.0229944},"labels":[],"label_agreement":null},{"id":"W3124082729","doi":"","title":"Long-run international diversification","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Science Foundation Ireland","keywords":"Portfolio; Economics; Short run; Diversification (marketing strategy); Equity (law); Context (archaeology); Financial economics; Econometrics; Monetary economics; Business; Geography","score_opus":0.07915914040249586,"score_gpt":0.3001213253681283,"score_spread":0.22096218496563244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124082729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91454417,0.0051982948,0.042724866,0.0019778041,0.00011251047,0.000027874783,0.00024828984,0.00022161777,0.03494458],"genre_scores_gemma":[0.99584204,0.0006966086,0.0009515761,0.00005989939,0.000028052547,0.000004638518,0.000050567593,0.000008210024,0.002358348],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981326,0.000051367697,0.000009888657,0.000036650636,0.000043622647,0.00004524977],"domain_scores_gemma":[0.99900526,0.00023608649,0.00030980998,0.00021148898,0.00011985191,0.00011767609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009754861,0.0004901691,0.00036571026,0.00027122186,0.000280745,0.00134863,0.0003541037,0.0006829981,0.005277683],"category_scores_gemma":[0.0031169532,0.00015186916,0.0004076734,0.00032447113,0.00048978545,0.0018460556,0.001311972,0.0006510969,0.00035174142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064298726,0.00019406962,0.068402946,0.00040203895,0.0004510292,0.0017378296,0.00045312147,0.3157734,0.02679276,0.37043628,0.006803243,0.20791037],"study_design_scores_gemma":[0.00011438345,0.0006370553,0.09200922,0.00020868765,0.00032382397,0.0013310767,0.00071601704,0.41665295,0.012121203,0.45815024,0.017637257,0.00009806959],"about_ca_topic_score_codex":0.00069067377,"about_ca_topic_score_gemma":0.00068183715,"teacher_disagreement_score":0.005277683,"about_ca_system_score_codex":0.0005104661,"about_ca_system_score_gemma":0.00036795155,"threshold_uncertainty_score":0.01765567},"labels":[],"label_agreement":null},{"id":"W3124088121","doi":"10.1108/ajb-03-2013-0014?utm_campaign=repec&amp;wt.mc_id=repec","title":"Industry Classification and the Efficiency of Intra-Industry Information Transfers","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Earnings; Anomaly (physics); Stock market; Stock (firearms); Econometrics; Financial economics; Efficient-market hypothesis; Business; Capital market; Economics; Accounting; Finance; Engineering; Geography","score_opus":0.011371226371078085,"score_gpt":0.19254877644738974,"score_spread":0.18117755007631164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124088121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854181,0.00035829959,0.0045998944,0.00038098186,0.00003568239,0.000062620304,0.000307043,0.000042607986,0.008794841],"genre_scores_gemma":[0.99870586,0.00006636819,0.00057537766,0.000034169967,0.00002392641,0.000009490947,0.00018588337,0.000004770973,0.00039415548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996682,0.0009528075,0.00042711297,0.00048089452,0.0010657433,0.0003913485],"domain_scores_gemma":[0.92248815,0.028603127,0.03268779,0.010051066,0.0050103604,0.001159475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005528069,0.00028278286,0.00037137818,0.0029238237,0.00043343828,0.002651228,0.00062651595,0.0006022614,0.004210795],"category_scores_gemma":[0.04759766,0.00015853807,0.00037504846,0.0039387434,0.0009129272,0.0021190422,0.0014245436,0.0007705189,0.0007127574],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068858213,0.0002384559,0.9157438,0.00007477511,0.00022594776,0.00020366108,0.0007258076,0.003320389,0.0017494734,0.0053454423,0.0009429307,0.07074074],"study_design_scores_gemma":[0.000031763746,0.00022136582,0.9733417,0.000052356972,0.00014587569,0.00021496165,0.0009377654,0.013961821,0.0022870135,0.0068636686,0.001908794,0.000032911877],"about_ca_topic_score_codex":0.0026845094,"about_ca_topic_score_gemma":0.0014842312,"teacher_disagreement_score":0.005528069,"about_ca_system_score_codex":0.0010060056,"about_ca_system_score_gemma":0.0006092844,"threshold_uncertainty_score":0.029235542},"labels":[],"label_agreement":null},{"id":"W3124099276","doi":"10.2139/ssrn.3501915","title":"The Social Internetwork and Stock Returns","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Carleton University","funders":"","keywords":"Stock (firearms); Business; Financial economics; Economics; Engineering","score_opus":0.011603004974387838,"score_gpt":0.20830941972398093,"score_spread":0.19670641474959308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124099276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9707968,0.0019379564,0.00024039687,0.0031583922,0.00007300231,0.000008979638,0.00041097042,0.000010194408,0.023363333],"genre_scores_gemma":[0.99625826,0.00083420164,0.00004319555,0.00010112165,0.00016296699,0.0000035966486,0.00011755582,0.0000045512747,0.0024746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999676,0.0001547435,0.000023432864,0.00003162072,0.00006251004,0.000051625928],"domain_scores_gemma":[0.9852031,0.007648283,0.004280069,0.00058249914,0.00053573056,0.0017503205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000639203,0.00020226766,0.00017370986,0.0016989246,0.00042368923,0.0027688502,0.0002582232,0.0010622238,0.01640564],"category_scores_gemma":[0.0093178665,0.00013795396,0.00022404801,0.0015261743,0.00069516915,0.0019235865,0.00071010506,0.0009454124,0.0013285986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005205818,0.0006281967,0.94614524,0.00005555256,0.00023505042,0.0004580919,0.00090808835,0.00075001,0.0003569749,0.00977055,0.0028122722,0.03735948],"study_design_scores_gemma":[0.00004217033,0.0002271135,0.97393453,0.000099489145,0.00014699857,0.00056190015,0.0028670519,0.0022630694,0.00022078044,0.013018745,0.0065936535,0.000024575533],"about_ca_topic_score_codex":0.002670231,"about_ca_topic_score_gemma":0.0034508382,"teacher_disagreement_score":0.01640564,"about_ca_system_score_codex":0.00035086548,"about_ca_system_score_gemma":0.00020396283,"threshold_uncertainty_score":0.054882348},"labels":[],"label_agreement":null},{"id":"W3124103915","doi":"10.1017/s0022109009990378","title":"Block Ownership, Trading Activity, and Market Liquidity","year":2009,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Business; Block (permutation group theory); Monetary economics; Liquidity crisis; Liquidity risk; Economics","score_opus":0.04656790861880422,"score_gpt":0.26166320646032837,"score_spread":0.21509529784152415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124103915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979937,0.00024397958,0.00028791334,0.00008237237,0.0000018328882,0.0000044407475,0.00008454761,0.0000030520546,0.0012982612],"genre_scores_gemma":[0.99963486,0.00005038876,0.00003444263,0.0000044954886,0.000005279199,0.0000015792423,0.000043595155,5.0341015e-7,0.00022482881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962914,0.00011005077,0.00003787114,0.00004112909,0.00009130162,0.000090461515],"domain_scores_gemma":[0.97505003,0.008009195,0.013908327,0.0005907821,0.00066226505,0.001779344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006193535,0.00015700945,0.00027045055,0.000648601,0.0002587775,0.0013389399,0.00029574076,0.00043119004,0.006481274],"category_scores_gemma":[0.0073456382,0.00011214989,0.00016882298,0.00057614833,0.0006340079,0.0011975449,0.00087316596,0.00042300075,0.0004686121],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003877746,0.00024502113,0.9841914,0.000045240533,0.00014648554,0.00033587046,0.00021465593,0.0025905613,0.001974102,0.0025291278,0.00025694873,0.0070826737],"study_design_scores_gemma":[0.000035872363,0.00038306607,0.9823291,0.000039843875,0.00011332865,0.0003385,0.00050882786,0.0087933885,0.0014446318,0.005011839,0.000984018,0.000017606744],"about_ca_topic_score_codex":0.0028000616,"about_ca_topic_score_gemma":0.0030903486,"teacher_disagreement_score":0.006481274,"about_ca_system_score_codex":0.0004991202,"about_ca_system_score_gemma":0.00032355337,"threshold_uncertainty_score":0.021681964},"labels":[],"label_agreement":null},{"id":"W3124108329","doi":"10.2139/ssrn.2844962","title":"Mutual Fund Risk-Shifting and Management Contracts","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Business; Risk management; Mutual fund; Finance; Actuarial science","score_opus":0.018216313719308517,"score_gpt":0.20480404090060206,"score_spread":0.18658772718129354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124108329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8863247,0.0023249623,0.032929987,0.0073536793,0.00012972052,0.000069206115,0.0002121817,0.000089596186,0.070565864],"genre_scores_gemma":[0.9913516,0.00030020217,0.00067413313,0.000085333755,0.00005310007,0.000010613057,0.000024540805,0.000006899637,0.0074935183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984439,0.00072837586,0.0000926693,0.00017891424,0.00026666434,0.0002894429],"domain_scores_gemma":[0.9820056,0.010448011,0.0042690416,0.0010967298,0.0008655847,0.0013149942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004539552,0.00034951937,0.0005779287,0.0005535669,0.00085520855,0.0031548594,0.0009687639,0.0037589888,0.012019955],"category_scores_gemma":[0.041946407,0.00034949873,0.00042245453,0.00065616827,0.0019074769,0.0047864118,0.001533109,0.002156724,0.0005924761],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048336855,0.00022338048,0.016577851,0.00010146092,0.000056398632,0.0006413433,0.0008566389,0.029883372,0.0008039354,0.90542775,0.004441674,0.040502865],"study_design_scores_gemma":[0.00012389348,0.00017945141,0.013157908,0.000054885768,0.000062869134,0.00047832011,0.00083221856,0.05887851,0.00041148745,0.91968817,0.006085623,0.000046603338],"about_ca_topic_score_codex":0.002062832,"about_ca_topic_score_gemma":0.0019755606,"teacher_disagreement_score":0.012019955,"about_ca_system_score_codex":0.0021835952,"about_ca_system_score_gemma":0.0014542172,"threshold_uncertainty_score":0.040210783},"labels":[],"label_agreement":null},{"id":"W3124130395","doi":"10.1111/eufm.12070","title":"Persistent Doubt: An Examination of Hedge Fund Performance","year":2015,"lang":"en","type":"article","venue":"European Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Sharpe ratio; Hedge fund; Ranking (information retrieval); Contrast (vision); Information ratio; Economics; Sample (material); Actuarial science; Econometrics; Persistence (discontinuity); Monetary economics; Business; Financial economics; Computer science; Portfolio; Finance; Chemistry; Artificial intelligence","score_opus":0.08414332968577545,"score_gpt":0.2146610884425116,"score_spread":0.13051775875673616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124130395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974246,0.00015384897,0.00038173646,0.0001012948,0.0000034155578,0.000007486999,0.00030030208,0.000021978605,0.0016053584],"genre_scores_gemma":[0.9993774,0.000029630382,0.0000753386,0.000011008514,0.000009155618,0.0000023899827,0.00030591153,0.0000033622678,0.0001858431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982461,0.00024198029,0.00031482292,0.00023352363,0.0006864957,0.00027708377],"domain_scores_gemma":[0.94705075,0.0155991325,0.028203607,0.0028539693,0.0034340355,0.002858468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051904884,0.0003023115,0.00046348988,0.004210175,0.00031692238,0.0021086892,0.00066397066,0.00090620003,0.0016314812],"category_scores_gemma":[0.03591578,0.00013278301,0.0004706288,0.0034169867,0.00096216163,0.002442047,0.0019926983,0.00081552024,0.00027289902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005758564,0.00010727376,0.9780961,0.000033434357,0.00019385757,0.00017663225,0.0005615808,0.0015249992,0.0013463924,0.0010269873,0.0003229119,0.016034005],"study_design_scores_gemma":[0.00001011509,0.0006399183,0.99386096,0.000011263739,0.000040292933,0.00022341682,0.00030913428,0.002592579,0.0006682594,0.0011701003,0.00044775225,0.000026286512],"about_ca_topic_score_codex":0.0022085032,"about_ca_topic_score_gemma":0.0015143862,"teacher_disagreement_score":0.0051904884,"about_ca_system_score_codex":0.0006337699,"about_ca_system_score_gemma":0.00034947955,"threshold_uncertainty_score":0.027450264},"labels":[],"label_agreement":null},{"id":"W3124147896","doi":"10.2139/ssrn.3016730","title":"Informed Trading, Short Sales Constraints and Futures' Pricing","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Futures contract; Financial economics; Business; Economics; Commerce","score_opus":0.014320036093705078,"score_gpt":0.21253695651553006,"score_spread":0.19821692042182498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124147896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8677724,0.004252338,0.09245981,0.006530121,0.00019885623,0.000045471457,0.0006395193,0.00013350946,0.027968127],"genre_scores_gemma":[0.9948302,0.0006622084,0.001413741,0.00008023532,0.00008472243,0.000007641383,0.00010963332,0.000014573066,0.0027971591],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99942696,0.00019203026,0.00005485376,0.00011381898,0.00009429753,0.00011821111],"domain_scores_gemma":[0.9828766,0.012569257,0.0029544898,0.0005496909,0.0003406839,0.0007092625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023352692,0.0006818859,0.0013716206,0.0005709945,0.00046642908,0.005217853,0.0011594975,0.0031629603,0.010854467],"category_scores_gemma":[0.02562008,0.0007772371,0.0006060511,0.00089960935,0.0016186645,0.007555324,0.0010016732,0.0027720595,0.0004112586],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012129118,0.00029449855,0.013371192,0.00029539922,0.00021991465,0.0019389167,0.00044554402,0.35727084,0.0023872987,0.5803135,0.0042256764,0.038024284],"study_design_scores_gemma":[0.00007147946,0.00008630806,0.004468547,0.000023642095,0.000033660468,0.00018231208,0.00011626585,0.24030018,0.0003175782,0.753252,0.001099739,0.00004829159],"about_ca_topic_score_codex":0.0029575792,"about_ca_topic_score_gemma":0.0028773288,"teacher_disagreement_score":0.010854467,"about_ca_system_score_codex":0.0010055893,"about_ca_system_score_gemma":0.0009661503,"threshold_uncertainty_score":0.036311746},"labels":[],"label_agreement":null},{"id":"W3124151842","doi":"10.1016/j.jbankfin.2010.07.034","title":"Finance journal rankings and tiers: An Active Scholar Assessment methodology","year":2010,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Kwantlen Polytechnic University","funders":"","keywords":"Respondent; Promotion (chess); Ranking (information retrieval); Business; Economics; Finance; Public relations; Political science; Computer science","score_opus":0.05209371169299412,"score_gpt":0.2929532874874431,"score_spread":0.24085957579444897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124151842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52663857,0.0016122191,0.31609088,0.004331729,0.0006797456,0.0038572343,0.012548794,0.0017108662,0.13253006],"genre_scores_gemma":[0.89408237,0.00030186976,0.08829661,0.00020557232,0.00045861077,0.0010877877,0.0038251,0.00014753552,0.01159454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.96899456,0.014277853,0.0028507516,0.0017746186,0.010310549,0.0017916348],"domain_scores_gemma":[0.8531768,0.0755441,0.012844792,0.007324534,0.045471303,0.0056384597],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.033287957,0.00061960774,0.0012012315,0.031459395,0.0021688484,0.0076529975,0.0022482665,0.0011673927,0.010239058],"category_scores_gemma":[0.1352459,0.0005301688,0.001453015,0.026635405,0.0015318685,0.0054091187,0.00398691,0.0012397369,0.0016359985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069666654,0.0009891624,0.4893771,0.00046911827,0.00076147553,0.000114450035,0.0035164536,0.0042520976,0.0007239935,0.063192815,0.028176995,0.40772966],"study_design_scores_gemma":[0.0005309319,0.0020020618,0.5740626,0.00047066767,0.0018507112,0.00053025683,0.018734295,0.1319841,0.0044307113,0.1655315,0.09952453,0.00034763155],"about_ca_topic_score_codex":0.0042045848,"about_ca_topic_score_gemma":0.008650007,"teacher_disagreement_score":0.9685406,"about_ca_system_score_codex":0.0016188263,"about_ca_system_score_gemma":0.0042322124,"threshold_uncertainty_score":0.17604566},"labels":[],"label_agreement":null},{"id":"W3124160409","doi":"10.24148/wp2008-25","title":"When Bonds Matter: Home Bias in Goods and Assets","year":2008,"lang":"en","type":"article","venue":"Federal Reserve Bank of San Francisco, Working Paper Series","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Bond; Economics; Equity (law); Exchange rate; Equity risk; Econometrics; Financial economics; General equilibrium theory; Monetary economics; Microeconomics; Finance; Valuation (finance)","score_opus":0.0547716659504765,"score_gpt":0.2283169360705906,"score_spread":0.1735452701201141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124160409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635332,0.0018532148,0.014299586,0.0025208383,0.00003428434,0.000014835731,0.0001405134,0.000055731198,0.017547859],"genre_scores_gemma":[0.997687,0.00037374365,0.0005100871,0.00012058491,0.000024927758,0.0000031481857,0.000023740839,0.00000871729,0.0012480495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99968827,0.00012824514,0.000013576469,0.00006174078,0.000047496753,0.000060682625],"domain_scores_gemma":[0.99721223,0.0014773759,0.00075436686,0.0002732156,0.00014283095,0.00013992738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015388525,0.00014415562,0.00042873432,0.00046845555,0.00030457322,0.0022191838,0.00035237242,0.0010539567,0.003017271],"category_scores_gemma":[0.010505208,0.0001692025,0.00025571126,0.0005960575,0.0013644315,0.0030280163,0.0006464901,0.00076386787,0.0002235894],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004909727,0.00011058622,0.21026091,0.00009201941,0.00015211685,0.001064634,0.0017129098,0.02245514,0.0017189966,0.68562746,0.0037925267,0.07252177],"study_design_scores_gemma":[0.00009677762,0.00008294115,0.066765815,0.000048151298,0.000096257376,0.00035743054,0.0010580318,0.03739486,0.001513651,0.886944,0.0056095053,0.000032613658],"about_ca_topic_score_codex":0.0038326527,"about_ca_topic_score_gemma":0.0031594185,"teacher_disagreement_score":0.0038326527,"about_ca_system_score_codex":0.00095461024,"about_ca_system_score_gemma":0.00023531615,"threshold_uncertainty_score":0.010093808},"labels":[],"label_agreement":null},{"id":"W3124164737","doi":"10.34989/swp-2005-17","title":"Risk Perceptions and Attitudes","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Risk aversion (psychology); Risk perception; Perception; Irrational number; Arrow; Economics; Asset (computer security); Time consistency; Expected utility hypothesis; Capital asset pricing model; Actuarial science; Financial market; Financial economics; Psychology; Finance; Computer science; Mathematics","score_opus":0.046745373170523234,"score_gpt":0.29446593329563925,"score_spread":0.247720560125116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124164737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8902474,0.0014392382,0.009913654,0.0024051282,0.000103118335,0.00004940835,0.0001192998,0.000023595727,0.095699094],"genre_scores_gemma":[0.99710923,0.00026323213,0.0005609164,0.00018745677,0.000029717246,0.000008981472,0.00003217021,0.0000040244354,0.0018042601],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976661,0.0010031973,0.00009219231,0.00024573432,0.0007799277,0.00021282014],"domain_scores_gemma":[0.9913049,0.0038451373,0.002163723,0.00047723367,0.0011713442,0.0010376535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024817795,0.00034256245,0.00024786257,0.001064706,0.0005627308,0.0035726829,0.00030437147,0.0012321813,0.004168607],"category_scores_gemma":[0.015349377,0.00015791798,0.00036232435,0.00061233947,0.0020546652,0.0015102739,0.0012847504,0.0018091705,0.00041167438],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057540834,0.0012234851,0.47437346,0.00035986677,0.0004978357,0.000957491,0.08411724,0.006880772,0.0051225363,0.23008831,0.004669183,0.19113444],"study_design_scores_gemma":[0.00008051599,0.00085927383,0.63428444,0.00037349242,0.00024096573,0.0014244727,0.050436,0.010620952,0.0017691806,0.25935453,0.040283266,0.00027292367],"about_ca_topic_score_codex":0.0011202605,"about_ca_topic_score_gemma":0.0005976275,"teacher_disagreement_score":0.004168607,"about_ca_system_score_codex":0.00068264664,"about_ca_system_score_gemma":0.00023423875,"threshold_uncertainty_score":0.013945341},"labels":[],"label_agreement":null},{"id":"W3124175344","doi":"","title":"Informativeness of Trade Size in Foreign Exchange Markets","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Guelph","funders":"","keywords":"Volatility (finance); Foreign exchange market; Currency; Kurtosis; Price discovery; Private information retrieval; Exchange rate; Monetary economics; Order (exchange); Foreign exchange; Market microstructure; Economics; Financial economics; Market liquidity; Foreign exchange swap; Business; Econometrics; Finance","score_opus":0.01395119034076293,"score_gpt":0.19965003642051707,"score_spread":0.18569884607975415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124175344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98071563,0.00022498996,0.016998349,0.00035128408,0.000010186604,0.000007124858,0.00010712986,0.00005313286,0.0015320859],"genre_scores_gemma":[0.9993315,0.000070826376,0.00038684625,0.000014290145,0.000024507703,0.0000016094071,0.000032495496,0.0000036722538,0.00013421143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922836,0.00029697688,0.00005609258,0.0001585007,0.00018640037,0.00007365332],"domain_scores_gemma":[0.9597843,0.028954744,0.00809175,0.0017164958,0.0008254232,0.0006272929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025476532,0.0003350916,0.0007434591,0.0013697396,0.00028461454,0.0020604243,0.0005069419,0.0009484152,0.0015104667],"category_scores_gemma":[0.028412974,0.0004621113,0.00032161956,0.0008012013,0.0012925183,0.0032083138,0.0007432236,0.0009332356,0.0001715174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029127796,0.0007582673,0.373878,0.00041373406,0.000723255,0.0029816108,0.00176499,0.32661995,0.048572343,0.14939235,0.00197719,0.09000551],"study_design_scores_gemma":[0.00011407395,0.00041181204,0.19778904,0.000039122042,0.00016696347,0.0009732157,0.00031991975,0.65672684,0.0067948243,0.13586421,0.00067561184,0.00012440005],"about_ca_topic_score_codex":0.0005456055,"about_ca_topic_score_gemma":0.00057015504,"teacher_disagreement_score":0.0025476532,"about_ca_system_score_codex":0.00043178562,"about_ca_system_score_gemma":0.00023467757,"threshold_uncertainty_score":0.013473451},"labels":[],"label_agreement":null},{"id":"W3124177668","doi":"10.1093/rfs/hhv041","title":"Wage Rigidity: A Quantitative Solution to Several Asset Pricing Puzzles","year":2015,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":219,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wage; Capital asset pricing model; Rigidity (electromagnetism); Economics; Management; Financial economics; Engineering; Labour economics","score_opus":0.1732432904546833,"score_gpt":0.3340848484574614,"score_spread":0.16084155800277808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124177668","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08205123,0.0049951267,0.80903125,0.021199016,0.00097001455,0.000111889734,0.0009622567,0.00072498916,0.079954214],"genre_scores_gemma":[0.86380225,0.0036081744,0.09159146,0.0014083564,0.0016540708,0.00016305021,0.00047311035,0.0003344932,0.03696503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992945,0.00022372705,0.000036953905,0.0001694897,0.00018908593,0.00008626582],"domain_scores_gemma":[0.99698025,0.0013403728,0.00077977515,0.00049193174,0.00021065689,0.00019709564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018691301,0.0010362566,0.0010723746,0.0011946805,0.0008603418,0.003679818,0.002541227,0.0032754305,0.015239229],"category_scores_gemma":[0.012569368,0.0007523961,0.0014672742,0.0012112275,0.0026627153,0.003893761,0.002221103,0.0032424694,0.001592077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039741368,0.000043840835,0.0011594796,0.00012395898,0.000039947125,0.00014973796,0.00019192274,0.040805545,0.00062792154,0.92515826,0.0058441353,0.025815407],"study_design_scores_gemma":[0.000027910044,0.000023067494,0.001146362,0.000040831277,0.000018163684,0.00015142186,0.0000656516,0.08689132,0.00013240782,0.9064244,0.0050459397,0.000032585405],"about_ca_topic_score_codex":0.0019044353,"about_ca_topic_score_gemma":0.0010521916,"teacher_disagreement_score":0.015239229,"about_ca_system_score_codex":0.001030755,"about_ca_system_score_gemma":0.0012035037,"threshold_uncertainty_score":0.05098033},"labels":[],"label_agreement":null},{"id":"W3124197799","doi":"10.1111/j.2041-6156.2009.tb00008.x","title":"Volatility, Market Structure, and the Bid‐Ask Spread*","year":2009,"lang":"en","type":"article","venue":"Jeung'gweon hag'hoeji","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Market liquidity; Bid–ask spread; Market maker; Volatility (finance); Business; Stock exchange; Monetary economics; Financial economics; Adverse selection; Stock market; Economics; Finance","score_opus":0.015677520559628413,"score_gpt":0.20137296454809123,"score_spread":0.18569544398846283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124197799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974312,0.00008653022,0.0010938399,0.0001245003,0.000003692063,0.000004281982,0.00006881004,0.000012040618,0.0011751264],"genre_scores_gemma":[0.9997068,0.000014611678,0.000095723015,0.000005320895,0.000005468761,0.0000018564267,0.000035253004,0.0000020127889,0.00013282259],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997749,0.000065215725,0.000020779476,0.000030696752,0.000061882594,0.00004658203],"domain_scores_gemma":[0.9885925,0.006767526,0.0032528343,0.00035033835,0.00038939036,0.0006473545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011745985,0.0001274833,0.00028368286,0.00065465237,0.00020888032,0.0013372788,0.00027201299,0.0004994941,0.0027798065],"category_scores_gemma":[0.011186082,0.00017743712,0.00013138913,0.00056722324,0.0005245566,0.0012710147,0.000397941,0.00052378967,0.0002730237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018207146,0.00083355524,0.82085496,0.00008813846,0.00030959863,0.0011280244,0.0007480846,0.049877886,0.0212173,0.065729454,0.0028416263,0.034550615],"study_design_scores_gemma":[0.000116793766,0.00035591683,0.7141177,0.000021054208,0.00006768071,0.00046596318,0.00044301702,0.2231292,0.003399116,0.056892682,0.00090787874,0.00008289931],"about_ca_topic_score_codex":0.0012034276,"about_ca_topic_score_gemma":0.0010472978,"teacher_disagreement_score":0.0027798065,"about_ca_system_score_codex":0.00043287384,"about_ca_system_score_gemma":0.00020478126,"threshold_uncertainty_score":0.0092993975},"labels":[],"label_agreement":null},{"id":"W3124203044","doi":"10.3386/w10270","title":"The Declining Equity Premium: What Role Does Macroeconomic Risk Play?","year":2004,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"Alfred P. Sloan Foundation; National Science Foundation","keywords":"Equity (law); Risk premium; Equity premium puzzle; Economics; Monetary economics; Financial economics; Political science","score_opus":0.24197138170332774,"score_gpt":0.44755654806072603,"score_spread":0.2055851663573983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124203044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9453261,0.0076060845,0.0040755793,0.030654354,0.00011798996,0.000011088258,0.0003121089,0.000052141317,0.011844691],"genre_scores_gemma":[0.9963276,0.0016565219,0.0001968404,0.0006338888,0.00017593965,0.0000017284627,0.00005696219,0.000006796303,0.0009437379],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998729,0.000019342016,0.000005836933,0.000041418578,0.00002949913,0.000030999552],"domain_scores_gemma":[0.9986382,0.00046687128,0.00049576035,0.000081520135,0.00011758418,0.00019999739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009740656,0.00021337872,0.0005302022,0.0004630355,0.00026812882,0.0021253778,0.00040458483,0.00096848933,0.004045769],"category_scores_gemma":[0.005936892,0.000113634385,0.000228381,0.0004332202,0.001093373,0.0022789878,0.00050528074,0.0010811482,0.00031991833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004375948,0.00023781975,0.6073865,0.0002819005,0.00025490744,0.00075248885,0.0018775461,0.0054145344,0.008161081,0.17053536,0.010174054,0.19448617],"study_design_scores_gemma":[0.000069026355,0.00012299036,0.7308381,0.00014166879,0.0001954858,0.00057551695,0.0013633871,0.020204253,0.0017151859,0.23490848,0.009817881,0.000048037014],"about_ca_topic_score_codex":0.0048264135,"about_ca_topic_score_gemma":0.00395052,"teacher_disagreement_score":0.0048264135,"about_ca_system_score_codex":0.00064393657,"about_ca_system_score_gemma":0.00037323072,"threshold_uncertainty_score":0.013534427},"labels":[],"label_agreement":null},{"id":"W3124265977","doi":"10.1016/s0929-1199(02)00056-1","title":"Corporate spinoffs and information asymmetry between investors","year":2003,"lang":"en","type":"article","venue":"Journal of Corporate Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; University of Alberta","funders":"","keywords":"Divestment; Business; Information asymmetry; Subsidiary; Database transaction; Stock (firearms); Transparency (behavior); Monetary economics; Industrial organization; Accounting; Finance; Economics; Multinational corporation","score_opus":0.05352038039123244,"score_gpt":0.2052306370054307,"score_spread":0.15171025661419826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124265977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98831314,0.0008165422,0.0027287845,0.0013653013,0.0000296272,0.000013470678,0.00007476217,0.000013103742,0.0066453386],"genre_scores_gemma":[0.99940395,0.000111935704,0.00007681323,0.000034975805,0.00003466277,0.0000014629077,0.000014999186,9.595575e-7,0.0003202044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990551,0.00034901116,0.00008449486,0.00010069329,0.00015826825,0.00025244808],"domain_scores_gemma":[0.8868401,0.08792926,0.018146493,0.0027207073,0.0020868327,0.0022767119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044974,0.00027176982,0.00065312674,0.00094489224,0.00053335057,0.0034787217,0.0004314978,0.0015937528,0.0057480386],"category_scores_gemma":[0.05335251,0.00032444144,0.00027915742,0.00071874005,0.0014391869,0.005553982,0.0012887445,0.0016213391,0.00026650506],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006129599,0.0010660691,0.57388747,0.00028195835,0.00056580565,0.0043884884,0.0026974624,0.024955988,0.0039482783,0.28004843,0.005848568,0.09618198],"study_design_scores_gemma":[0.0007618523,0.0006324621,0.24765146,0.00013941954,0.00064049126,0.0019211303,0.004870032,0.10008614,0.002830807,0.63778114,0.0025413479,0.00014373686],"about_ca_topic_score_codex":0.001038077,"about_ca_topic_score_gemma":0.0007596438,"teacher_disagreement_score":0.0057480386,"about_ca_system_score_codex":0.0005804617,"about_ca_system_score_gemma":0.00040362045,"threshold_uncertainty_score":0.023784757},"labels":[],"label_agreement":null},{"id":"W3124267135","doi":"10.1111/jofi.12882","title":"High‐Frequency Trading and Market Performance","year":2020,"lang":"en","type":"preprint","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Frontier; Common value auction; High-frequency trading; Order (exchange); Crowds; Algorithmic trading; Trading turret; Economics; Trading strategy; Alternative trading system; Limit (mathematics); Order book; Monetary economics; Financial economics; Microeconomics; Open outcry; Computer science; Finance","score_opus":0.03817228492224484,"score_gpt":0.2079393111611908,"score_spread":0.16976702623894596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124267135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99218166,0.00026922178,0.00231225,0.00031575575,0.000017813685,0.000006344086,0.00005452927,0.000024538875,0.0048179594],"genre_scores_gemma":[0.9995685,0.000028894918,0.00011431094,0.00001570585,0.000015713882,0.0000012249805,0.0000144189735,0.0000026776684,0.0002385821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950516,0.00018482769,0.000033843964,0.00008205254,0.000096794254,0.000097327895],"domain_scores_gemma":[0.9771755,0.012291987,0.007538243,0.0010386781,0.0008607803,0.0010948494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018875567,0.0002753865,0.0003234337,0.000373026,0.00022681554,0.002619315,0.00029948752,0.0009480466,0.0049620476],"category_scores_gemma":[0.012704578,0.00011449343,0.00013139752,0.00033182008,0.0005310258,0.0015157589,0.0005800967,0.0006787714,0.00048205623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051121884,0.00309772,0.55175513,0.00039076086,0.00088825,0.0014285671,0.0008348579,0.16662553,0.051143613,0.07456217,0.004137715,0.14002348],"study_design_scores_gemma":[0.0002950017,0.002024051,0.6356915,0.00008122332,0.00015385647,0.0006640999,0.0007886061,0.19025643,0.009347009,0.1572472,0.003272802,0.00017821928],"about_ca_topic_score_codex":0.00039300777,"about_ca_topic_score_gemma":0.00026400643,"teacher_disagreement_score":0.0049620476,"about_ca_system_score_codex":0.00035372056,"about_ca_system_score_gemma":0.00014933704,"threshold_uncertainty_score":0.016599715},"labels":[],"label_agreement":null},{"id":"W3124286190","doi":"10.48550/arxiv.1508.06182","title":"Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Mitacs","keywords":"Quantum annealing; Mathematical optimization; Computer science; Scalability; Portfolio optimization; Quantum; Inversion (geology); Optimization problem; Portfolio; Simulated annealing; Covariance matrix; Mathematics; Quantum algorithm; Algorithm; Economics","score_opus":0.11030657605860865,"score_gpt":0.30402927752335873,"score_spread":0.19372270146475007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124286190","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12681966,0.00022574836,0.8534485,0.0012842084,0.000064673426,0.00008286891,0.000097586286,0.00012414095,0.017852645],"genre_scores_gemma":[0.7932735,0.00018445829,0.19607173,0.0001681225,0.000026342883,0.00018448484,0.00008651415,0.000056971923,0.0099477805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983776,0.000060392846,0.000008546515,0.000029885397,0.00003515428,0.000028155786],"domain_scores_gemma":[0.99954104,0.00031936596,0.0000345352,0.000039909883,0.00003276479,0.000032425898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006596064,0.00029069165,0.0005172175,0.0002487359,0.00048597017,0.0009196501,0.00062971085,0.001321471,0.0051011494],"category_scores_gemma":[0.0016279279,0.00035675667,0.00044131392,0.00044097204,0.00075451785,0.0013093082,0.00075494323,0.0010063795,0.000277703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000583017,0.000042839678,0.00036092298,0.000031309046,0.000020343692,0.00007111856,0.000050180563,0.88665634,0.0015186927,0.09836907,0.0007055518,0.012115207],"study_design_scores_gemma":[0.000015160195,0.000017134853,0.00005043076,0.0000025542774,0.0000023146856,0.000008536699,0.000009985124,0.98354846,0.00030394766,0.015636863,0.0004008069,0.0000038140086],"about_ca_topic_score_codex":0.0028597168,"about_ca_topic_score_gemma":0.002428025,"teacher_disagreement_score":0.0051011494,"about_ca_system_score_codex":0.0007742004,"about_ca_system_score_gemma":0.00082524534,"threshold_uncertainty_score":0.017065048},"labels":[],"label_agreement":null},{"id":"W3124307103","doi":"","title":"Extreme Risk Measures for International REIT Markets","year":2012,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Real estate investment trust; Stock (firearms); Portfolio; Financial crisis; Business; Financial market; Financial economics; Risk management; Economics; Finance; Real estate; Geography","score_opus":0.1496355148087526,"score_gpt":0.3537570076761595,"score_spread":0.20412149286740688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124307103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65294224,0.0022920973,0.33068797,0.00059546385,0.0001003528,0.00012820857,0.0006451856,0.00020689398,0.012401671],"genre_scores_gemma":[0.9821814,0.00041031252,0.016169203,0.000037260128,0.000070827155,0.000055437853,0.00032940373,0.000020826305,0.0007253378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990645,0.00035398497,0.00010291612,0.0001411222,0.00025937293,0.000078076875],"domain_scores_gemma":[0.99236155,0.0038889237,0.002211609,0.00061096606,0.0006535821,0.00027338899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004003437,0.00059433916,0.0004652295,0.0029895569,0.000248285,0.0014349998,0.0004611634,0.0004664057,0.0016587757],"category_scores_gemma":[0.0144745195,0.00011545381,0.0005558125,0.0015454458,0.0007037185,0.002531238,0.0013297474,0.0011769101,0.00018565914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047206605,0.00021233108,0.19122031,0.00030871402,0.00051378174,0.00069932843,0.0016190212,0.32660747,0.006220169,0.24202448,0.005069497,0.2250328],"study_design_scores_gemma":[0.000024578132,0.00044323265,0.13551402,0.00013547787,0.00010310063,0.0005365594,0.0010971442,0.66373503,0.0023149608,0.18998027,0.005985453,0.00013013305],"about_ca_topic_score_codex":0.0006879416,"about_ca_topic_score_gemma":0.00038212028,"teacher_disagreement_score":0.004003437,"about_ca_system_score_codex":0.00038441794,"about_ca_system_score_gemma":0.00020942991,"threshold_uncertainty_score":0.021172464},"labels":[],"label_agreement":null},{"id":"W3124314539","doi":"10.1080/14697688.2017.1334126","title":"Optimal execution in Hong Kong given a market-on-close benchmark","year":2017,"lang":"en","type":"article","venue":"Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benchmark (surveying); Closing (real estate); Computer science; Standard deviation; Hang; Index (typography); Econometrics; Economics; Mathematics; Statistics; Finance","score_opus":0.04920241241998906,"score_gpt":0.2750375297108561,"score_spread":0.22583511729086703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124314539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95869803,0.00017846537,0.037178587,0.00019869019,0.000020519357,0.00003558567,0.00012034299,0.00019861024,0.003371136],"genre_scores_gemma":[0.9965725,0.000021996739,0.0029035395,0.000009679096,0.000002249585,0.000006301859,0.000054511238,0.000008330045,0.00042095315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999703,0.0000808456,0.000016096423,0.0000639562,0.000034592256,0.000101532954],"domain_scores_gemma":[0.9985089,0.000796959,0.00019858588,0.00008461086,0.00019646328,0.00021450885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014442509,0.00045066857,0.0007501156,0.0003852296,0.00027279573,0.001090899,0.00041009294,0.00045765957,0.0012025251],"category_scores_gemma":[0.0036652337,0.0002728561,0.00021269661,0.00026969044,0.00062542356,0.0007718818,0.00042782468,0.00040391274,0.00007437324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022269871,0.000049958035,0.003976667,0.000028835726,0.000018595138,0.000109794586,0.00003874909,0.9813882,0.000830155,0.004962829,0.00031401392,0.008059524],"study_design_scores_gemma":[0.0000097774855,0.00003576708,0.0014900628,0.0000027392505,0.000002920949,0.0000047962094,0.00001805187,0.9968454,0.0003414913,0.0011812693,0.000063376036,0.0000042189627],"about_ca_topic_score_codex":0.05685641,"about_ca_topic_score_gemma":0.025889395,"teacher_disagreement_score":0.05685641,"about_ca_system_score_codex":0.0022175424,"about_ca_system_score_gemma":0.0016799618,"threshold_uncertainty_score":0.11305088},"labels":[],"label_agreement":null},{"id":"W3124367441","doi":"10.1111/j.1475-679x.2008.00296.x","title":"The Effect of Regulation FD on Transient Institutional Investors' Trading Behavior","year":2008,"lang":"en","type":"article","venue":"Journal of Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Stock (firearms); Business; Monetary economics; Transient (computer programming); Institutional investor; Economics; Accounting; Finance; Corporate governance","score_opus":0.0838602822991028,"score_gpt":0.3021691707741697,"score_spread":0.2183088884750669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124367441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99773216,0.00008748989,0.0004338317,0.00011567559,0.000011612252,0.0000122959,0.000044218636,0.000014306789,0.0015484043],"genre_scores_gemma":[0.99969566,0.000014243192,0.00008813736,0.000043925207,0.000007699588,0.000003376161,0.000016012313,6.519905e-7,0.00013025648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986254,0.0006277673,0.00010144083,0.00013493074,0.0002697008,0.00024067797],"domain_scores_gemma":[0.971039,0.01607989,0.008346294,0.002344667,0.0008854577,0.0013047049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036725998,0.000099898294,0.00021110314,0.000326419,0.00019498856,0.0007839611,0.00028785926,0.00043726605,0.0013704456],"category_scores_gemma":[0.016281301,0.00006535218,0.0002621943,0.00022459167,0.0005156457,0.0003697692,0.00039837635,0.00058480795,0.00008666725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0044062645,0.0029138422,0.8558892,0.000090715286,0.00032895722,0.00036734965,0.0006691951,0.011631069,0.020966956,0.004284615,0.0010481452,0.09740367],"study_design_scores_gemma":[0.00011663001,0.0030152283,0.9752586,0.00002072512,0.00012775823,0.0001580741,0.00036094026,0.011333125,0.006530613,0.0015210957,0.0015237099,0.000033395114],"about_ca_topic_score_codex":0.0028879931,"about_ca_topic_score_gemma":0.0023758926,"teacher_disagreement_score":0.0036725998,"about_ca_system_score_codex":0.0007119882,"about_ca_system_score_gemma":0.00040403946,"threshold_uncertainty_score":0.01942277},"labels":[],"label_agreement":null},{"id":"W3124367605","doi":"10.1002/fut.21823","title":"Equity Option Implied Probability of Default and Equity Recovery Rate","year":2016,"lang":"en","type":"preprint","venue":"Journal of Futures Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"University of Reading","keywords":"Equity (law); Probability of default; Economics; Put option; Equity risk; Financial economics; Equity capital markets; Equity ratio; Business; Actuarial science; Econometrics; Finance; Credit risk; Valuation (finance)","score_opus":0.05317834005235458,"score_gpt":0.2794788947704446,"score_spread":0.22630055471809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124367605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9330311,0.00039598657,0.06260086,0.00046588015,0.000021150554,0.000029830051,0.00055487064,0.00019747613,0.0027030592],"genre_scores_gemma":[0.99709165,0.00006324302,0.0023032797,0.000015646252,0.000018288938,0.0000050798267,0.0001733777,0.000008467964,0.00032096478],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989832,0.00031817085,0.00011669919,0.00022610047,0.0002725397,0.00008316367],"domain_scores_gemma":[0.964253,0.024709497,0.007010574,0.0018883304,0.0015048523,0.0006336375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036484632,0.00033816686,0.0006824938,0.0017729738,0.0001756506,0.0014820027,0.00075300504,0.0013747162,0.0043862206],"category_scores_gemma":[0.043165024,0.0002196627,0.00028986944,0.0011471994,0.0009918994,0.0024495684,0.0007058524,0.0012756039,0.00036037166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091661484,0.00023595436,0.6450555,0.00026609207,0.00041628422,0.0012223367,0.0004926996,0.18712027,0.011391221,0.07245045,0.0022823825,0.07815027],"study_design_scores_gemma":[0.000045390163,0.00013741746,0.30247584,0.00007755953,0.000086469634,0.0009818925,0.00019912222,0.58403933,0.0065341364,0.104564555,0.00073789037,0.000120392746],"about_ca_topic_score_codex":0.0010316854,"about_ca_topic_score_gemma":0.0005991751,"teacher_disagreement_score":0.0043862206,"about_ca_system_score_codex":0.00041683865,"about_ca_system_score_gemma":0.00017596692,"threshold_uncertainty_score":0.019295156},"labels":[],"label_agreement":null},{"id":"W3124370834","doi":"10.1016/j.jbankfin.2015.11.014","title":"Do hedge funds dynamically manage systematic risk?","year":2015,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; University of Warwick","keywords":"Hedge fund; Systematic risk; Asset allocation; Business; Alternative beta; Market timing; Selection (genetic algorithm); Asset (computer security); Capital asset pricing model; Asset management; Economics; Actuarial science; Finance; Global assets under management; Institutional investor; Computer science","score_opus":0.035135190807397375,"score_gpt":0.224323964778153,"score_spread":0.18918877397075562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124370834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9330709,0.0018810416,0.035324156,0.005812592,0.00021836044,0.000043130698,0.0001713898,0.00022529281,0.023253236],"genre_scores_gemma":[0.9970265,0.00023942224,0.0012569235,0.0001215166,0.00005350941,0.000007926092,0.000021130882,0.00001123406,0.0012618542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997199,0.00006507143,0.000019223065,0.000048371694,0.000064471766,0.00008296642],"domain_scores_gemma":[0.99705374,0.0011200722,0.0010510792,0.0002761865,0.00027697807,0.0002220434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012634847,0.00031835082,0.000451735,0.0005095284,0.00024749656,0.0022416678,0.0005401822,0.0019229943,0.0030987642],"category_scores_gemma":[0.013934289,0.00031892344,0.00026625922,0.0002901495,0.00061148393,0.004804467,0.0007098736,0.00075406284,0.00057729334],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015515516,0.00052439433,0.12869202,0.00026102332,0.00055146,0.0009689465,0.0011723618,0.049471598,0.01665643,0.4900449,0.014042383,0.296063],"study_design_scores_gemma":[0.00048442298,0.00046187322,0.04914569,0.00011066657,0.00030494158,0.000731519,0.0013113306,0.18952173,0.0076764408,0.73575443,0.014406026,0.00009091939],"about_ca_topic_score_codex":0.00053510274,"about_ca_topic_score_gemma":0.00047782678,"teacher_disagreement_score":0.0030987642,"about_ca_system_score_codex":0.00038737088,"about_ca_system_score_gemma":0.0006015644,"threshold_uncertainty_score":0.01036638},"labels":[],"label_agreement":null},{"id":"W3124421093","doi":"10.1017/s0022109010000785","title":"Information Shocks, Liquidity Shocks, Jumps, and Price Discovery: Evidence from the U.S. Treasury Market","year":2010,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":174,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Treasury; Market liquidity; Predictive power; Jump; Economics; Bond; Monetary economics; Price discovery; Order (exchange); Financial economics; Econometrics; Finance; Futures contract","score_opus":0.030623713855884502,"score_gpt":0.2448448483328758,"score_spread":0.2142211344769913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124421093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954424,0.00074752106,0.00037876147,0.0007982413,0.00001552168,0.000012274259,0.0005436954,0.000021185013,0.0020403867],"genre_scores_gemma":[0.99879175,0.00036891468,0.00010788107,0.000069054935,0.000043200827,0.0000026249256,0.00042610755,0.000004187133,0.00018621271],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994368,0.00015880143,0.00005636395,0.00006884366,0.00019911077,0.00008008298],"domain_scores_gemma":[0.95999676,0.021921199,0.013446931,0.0014241763,0.0019410151,0.0012699629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018098,0.00024594448,0.00046256915,0.0016195215,0.0005218034,0.001729687,0.00046389192,0.00093512074,0.0032713232],"category_scores_gemma":[0.019991761,0.00029768955,0.0003624157,0.002302141,0.0006208228,0.0015555974,0.00076104474,0.001339716,0.00048340144],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014311284,0.0007884027,0.95582205,0.00012235423,0.00047705031,0.00076517323,0.0005417145,0.0040473957,0.0014028684,0.0029858442,0.0036020381,0.028013896],"study_design_scores_gemma":[0.00012865767,0.00023861878,0.9737802,0.000042338525,0.0002053514,0.00020777836,0.00053895585,0.018742885,0.0011328717,0.00312562,0.0018035569,0.0000532063],"about_ca_topic_score_codex":0.01318192,"about_ca_topic_score_gemma":0.01128362,"teacher_disagreement_score":0.01318192,"about_ca_system_score_codex":0.00035447776,"about_ca_system_score_gemma":0.000393007,"threshold_uncertainty_score":0.026210368},"labels":[],"label_agreement":null},{"id":"W3124424373","doi":"10.1287/mnsc.2015.2385","title":"Do Earnings Estimates Add Value to Sell-Side Analysts’ Investment Recommendations?","year":2016,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Earnings; Valuation (finance); Incentive; Economics; Stock (firearms); Business; Investment decisions; Value (mathematics); Actuarial science; Econometrics; Financial economics; Finance; Behavioral economics; Microeconomics; Computer science","score_opus":0.03356312971675731,"score_gpt":0.25218341475441386,"score_spread":0.21862028503765654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124424373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747959,0.0010987117,0.0028140473,0.0039512673,0.00015553676,0.00003586497,0.00036685,0.00007345453,0.016708542],"genre_scores_gemma":[0.9982541,0.0002014779,0.00046484498,0.00021412877,0.00008349279,0.0000039114016,0.00010618679,0.000009621135,0.0006620763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963648,0.0013790829,0.00030293292,0.00048455287,0.00120374,0.00026489922],"domain_scores_gemma":[0.9064655,0.052088063,0.028298637,0.005347406,0.006445935,0.0013544997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066882027,0.00032581115,0.0003848809,0.0010421864,0.00023173833,0.002646708,0.00047519457,0.0011937546,0.0031161874],"category_scores_gemma":[0.0844922,0.00029010608,0.0003808293,0.0009684127,0.0005986465,0.002970044,0.0005784787,0.0010793395,0.00085118145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006138412,0.00020252336,0.8770857,0.00008824115,0.00044753082,0.00014599638,0.0006617515,0.0013492148,0.0018180708,0.0020222007,0.002487219,0.11307776],"study_design_scores_gemma":[0.000058392437,0.000287012,0.979154,0.00006386897,0.00026371202,0.00013555857,0.0010571816,0.007716529,0.002411987,0.004493193,0.0043057855,0.000052705447],"about_ca_topic_score_codex":0.0031677824,"about_ca_topic_score_gemma":0.0043746056,"teacher_disagreement_score":0.0066882027,"about_ca_system_score_codex":0.00065664685,"about_ca_system_score_gemma":0.0005028299,"threshold_uncertainty_score":0.035371065},"labels":[],"label_agreement":null},{"id":"W3124432141","doi":"10.1287/mnsc.1120.1678","title":"Social Networks, Information Acquisition, and Asset Prices","year":2013,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":222,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Crowds; Microeconomics; Market liquidity; Asset (computer security); Economics; Financial market; Rational expectations; Information asymmetry; Social network (sociolinguistics); Incentive; Welfare; Financial economics; Business; Monetary economics; Finance; Econometrics; Social media; Computer science","score_opus":0.013203708314273551,"score_gpt":0.2000257514667233,"score_spread":0.18682204315244974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124432141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6852088,0.0018127685,0.2169545,0.011562207,0.00016136047,0.00021177024,0.0008373882,0.00016812408,0.08308309],"genre_scores_gemma":[0.98739237,0.00064738304,0.0038245504,0.00011410459,0.00006047019,0.000068230096,0.00007066561,0.00000646285,0.007815647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995521,0.00019686202,0.00001405199,0.000076709955,0.0000628256,0.00009749289],"domain_scores_gemma":[0.9965777,0.0020973657,0.00089942693,0.00008795688,0.00015422344,0.00018335073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089969754,0.0006285995,0.0006108106,0.0007431871,0.0006535794,0.0020536997,0.0008589878,0.001955977,0.006906327],"category_scores_gemma":[0.0063298033,0.00030411998,0.0004160911,0.00086726964,0.0009055691,0.0038152514,0.0007963011,0.0010665953,0.00053078774],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023259629,0.00036137394,0.011310693,0.00013196435,0.00015956697,0.0006382986,0.00044278443,0.3347201,0.0011651501,0.6220141,0.0046614786,0.024161808],"study_design_scores_gemma":[0.00009072304,0.00013318965,0.0031736335,0.000035452347,0.00006550871,0.00011188249,0.00023389827,0.71409833,0.00025715394,0.27853236,0.0032269326,0.000040877578],"about_ca_topic_score_codex":0.0049031456,"about_ca_topic_score_gemma":0.0036231056,"teacher_disagreement_score":0.006906327,"about_ca_system_score_codex":0.0014032205,"about_ca_system_score_gemma":0.00069893844,"threshold_uncertainty_score":0.023103952},"labels":[],"label_agreement":null},{"id":"W3124434402","doi":"10.2139/ssrn.2867167","title":"Market Quality around Macroeconomic News Announcements: Evidence from the US and Canadian Markets","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Business; Monetary economics; Economics; Financial economics","score_opus":0.027440621409696584,"score_gpt":0.23388842884239594,"score_spread":0.20644780743269936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124434402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9563294,0.005414562,0.0001792984,0.0035992635,0.000099437,0.00007459877,0.007981691,0.000033165063,0.026288535],"genre_scores_gemma":[0.98987997,0.002638139,0.00008255538,0.00029714734,0.00010693134,0.000008526118,0.00405493,0.000020477491,0.0029113598],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974859,0.00017181343,0.00011595294,0.00023548857,0.0014320184,0.0005588074],"domain_scores_gemma":[0.95816237,0.008062881,0.015086331,0.0012110653,0.01430409,0.003173212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033624507,0.00044163206,0.0006060402,0.0047320668,0.0029576975,0.006117004,0.0014128482,0.0012079438,0.007175265],"category_scores_gemma":[0.030140733,0.00036827283,0.0006138357,0.010875935,0.0017311597,0.0023298163,0.0015092338,0.0012469473,0.00057853875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013032937,0.00019923178,0.9420582,0.00023773355,0.0005120013,0.00025876606,0.004865814,0.000977942,0.00040205265,0.0034058338,0.018762777,0.027016433],"study_design_scores_gemma":[0.000036033347,0.00002552575,0.99275184,0.000044088178,0.00011087943,0.00002013772,0.0017291538,0.00032784385,0.000107592525,0.0001553247,0.004652512,0.000038984603],"about_ca_topic_score_codex":0.9836215,"about_ca_topic_score_gemma":0.9868162,"teacher_disagreement_score":0.016378522,"about_ca_system_score_codex":0.0149538545,"about_ca_system_score_gemma":0.015466159,"threshold_uncertainty_score":0.108498275},"labels":[],"label_agreement":null},{"id":"W3124445126","doi":"10.1111/j.1468-036x.2012.00651.x","title":"Ambiguity Aversion, Company Size and the Pricing of Earnings Forecasts","year":2012,"lang":"en","type":"article","venue":"European Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ambiguity; Earnings; Ambiguity aversion; Pessimism; Economics; Financial economics; Stock (firearms); Econometrics; Stock price; Quarter (Canadian coin); Accounting; Computer science","score_opus":0.019459326737458628,"score_gpt":0.184885922676211,"score_spread":0.1654265959387524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124445126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960627,0.0001760011,0.0011981424,0.00018122776,0.000010017053,0.0000036500633,0.00001867438,0.0000063380307,0.0023432511],"genre_scores_gemma":[0.9997173,0.00002945257,0.0000867911,0.000009541573,0.00001028157,7.2957226e-7,0.000006081366,9.854285e-7,0.00013888754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968493,0.00011994466,0.000020182777,0.000033666474,0.00010625505,0.000035014345],"domain_scores_gemma":[0.970781,0.019627837,0.0072110808,0.00059195765,0.00048709087,0.0013009284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017618698,0.0001590817,0.00024172528,0.00054030534,0.00016663673,0.0012682002,0.00014626843,0.00039199652,0.0033291723],"category_scores_gemma":[0.017948197,0.000105998915,0.00013634906,0.00030915873,0.0005735658,0.0007184809,0.00048366692,0.00059300096,0.0001441775],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002010596,0.0007156411,0.8800947,0.0001030394,0.0002958708,0.0010347776,0.0012566027,0.02074308,0.012866862,0.030570062,0.0012823284,0.04902656],"study_design_scores_gemma":[0.000059934548,0.00031250794,0.9251376,0.000024464889,0.00007553575,0.00032788867,0.0005634964,0.033004034,0.0014821225,0.038144372,0.000823967,0.000044285825],"about_ca_topic_score_codex":0.0005701722,"about_ca_topic_score_gemma":0.0004014965,"teacher_disagreement_score":0.0033291723,"about_ca_system_score_codex":0.00029611404,"about_ca_system_score_gemma":0.00014568992,"threshold_uncertainty_score":0.011137128},"labels":[],"label_agreement":null},{"id":"W3124446202","doi":"10.1017/s0022109017000813","title":"Risk Premium Information from Treasury-Bill Yields","year":2018,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Treasury; Bond; Maturity (psychological); Market liquidity; Term (time); Yield curve; Yield (engineering); Quarter (Canadian coin); Horizon; Risk premium; Liquidity premium; Monetary economics; Econometrics; Economics; Financial economics; Mathematics; Liquidity risk; Finance; Physics; Geography","score_opus":0.02685339940287166,"score_gpt":0.23598162351354068,"score_spread":0.20912822411066903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124446202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9656226,0.0007694983,0.014196175,0.0003954906,0.000028433167,0.000029659408,0.0057833917,0.00025778974,0.012916897],"genre_scores_gemma":[0.9945321,0.00028111582,0.0010502668,0.000023099346,0.000024222709,0.0000045651927,0.0032855286,0.00001859873,0.0007806193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992411,0.00016429478,0.00007831158,0.00014746629,0.00027317685,0.0000956902],"domain_scores_gemma":[0.98836285,0.0058634775,0.0032148808,0.0011965046,0.0010373897,0.0003248136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016131426,0.0005676619,0.00051455916,0.0015100697,0.0001430641,0.0017335066,0.0003929525,0.0006199063,0.0048308056],"category_scores_gemma":[0.01923236,0.00031704418,0.00063661125,0.0017385515,0.0001754867,0.002117488,0.0006184036,0.0010295312,0.0011484469],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008105793,0.0002800305,0.8155559,0.00019315058,0.00073652726,0.00038820886,0.00030285303,0.054358453,0.0067084413,0.011949074,0.005150142,0.10356661],"study_design_scores_gemma":[0.00004058047,0.00018285358,0.82418424,0.00008742273,0.00027467354,0.00034615063,0.00015135547,0.14897054,0.0075777876,0.013790329,0.004299357,0.00009469281],"about_ca_topic_score_codex":0.005673754,"about_ca_topic_score_gemma":0.0033342962,"teacher_disagreement_score":0.005673754,"about_ca_system_score_codex":0.00039653966,"about_ca_system_score_gemma":0.0003198183,"threshold_uncertainty_score":0.016160667},"labels":[],"label_agreement":null},{"id":"W3124446431","doi":"","title":"An Empirical Investigation of Trading on Asymmetric Information and Heterogeneous Prior Beliefs","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Trading strategy; Information asymmetry; Algorithmic trading; Order (exchange); Pairs trade; High-frequency trading; Alternative trading system; Financial economics; Economics; Financial market; Empirical evidence; Econometrics; Empirical research; Actuarial science; Microeconomics; Finance; Mathematics; Statistics","score_opus":0.015894766866368856,"score_gpt":0.22373231048767714,"score_spread":0.2078375436213083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124446431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946254,0.00019800942,0.003312445,0.00017711439,0.000004025114,0.000013810892,0.00009718711,0.000009431405,0.0015624381],"genre_scores_gemma":[0.9985745,0.00018563465,0.000720788,0.000026476244,0.000019289288,0.000009829798,0.00017468257,0.0000036139882,0.00028518852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986957,0.00056526234,0.00012368649,0.00016276543,0.00031596742,0.00013662335],"domain_scores_gemma":[0.8713342,0.100031726,0.022423822,0.004143469,0.0011414972,0.0009252293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041702543,0.0002875811,0.00070688134,0.0012814332,0.00046619523,0.0020362022,0.0007634549,0.0010476011,0.0033212567],"category_scores_gemma":[0.06993899,0.0003379224,0.00037119447,0.0025269673,0.0012043575,0.003718384,0.000847064,0.0016320873,0.00023269549],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012862843,0.00086199597,0.86676365,0.0001990039,0.0005202655,0.001464256,0.0023358744,0.018874623,0.0019114461,0.04104584,0.00085162115,0.06388507],"study_design_scores_gemma":[0.00016866696,0.0005234815,0.7394865,0.00009201722,0.00031404485,0.0019289663,0.0028847274,0.1771111,0.0016230734,0.073893316,0.0018828572,0.00009119533],"about_ca_topic_score_codex":0.0014368773,"about_ca_topic_score_gemma":0.0011859405,"teacher_disagreement_score":0.0041702543,"about_ca_system_score_codex":0.00037488728,"about_ca_system_score_gemma":0.00028581725,"threshold_uncertainty_score":0.022054672},"labels":[],"label_agreement":null},{"id":"W3124446557","doi":"10.2139/ssrn.255131","title":"Predicting Equity Liquidity","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Market liquidity; Equity (law); Business; Economics; Financial system; Monetary economics; Financial economics; Political science","score_opus":0.03286329693596441,"score_gpt":0.2437379839056902,"score_spread":0.2108746869697258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124446557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98932135,0.0004405514,0.00621979,0.00029492017,0.00003957475,0.000019864243,0.0010425176,0.00034281492,0.0022786448],"genre_scores_gemma":[0.99743515,0.000081317325,0.0012787918,0.00001870953,0.00003600803,0.0000069487132,0.0004539569,0.0000067810565,0.00068225554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998646,0.000032752712,0.000009340978,0.00003787934,0.000025900632,0.000029579563],"domain_scores_gemma":[0.9987656,0.0007120436,0.00017320365,0.00006470555,0.00015835719,0.0001260462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051075354,0.000566846,0.0003326677,0.0017187184,0.0002960985,0.0012201704,0.00029188526,0.0008784655,0.0038262391],"category_scores_gemma":[0.0040376307,0.00025978338,0.000348759,0.0007730813,0.0001502294,0.0009859035,0.0003620707,0.00059782434,0.0012116266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011610582,0.0005111672,0.7305039,0.000059707556,0.00015730667,0.00049020717,0.000087448694,0.118800715,0.010712156,0.0016929987,0.0069560423,0.12886736],"study_design_scores_gemma":[0.000039953215,0.00022362136,0.082928725,0.000017818204,0.000052004405,0.00013688355,0.00006747093,0.90803164,0.00459467,0.0031386132,0.0007492103,0.000019339375],"about_ca_topic_score_codex":0.0033837736,"about_ca_topic_score_gemma":0.004350948,"teacher_disagreement_score":0.0038262391,"about_ca_system_score_codex":0.00037255688,"about_ca_system_score_gemma":0.00027275181,"threshold_uncertainty_score":0.012800038},"labels":[],"label_agreement":null},{"id":"W3124455480","doi":"10.1111/j.1475-679x.2004.00160.x","title":"How Informed Are Actively Trading Institutional Investors? Evidence from Their Trading Behavior before a Break in a String of Consecutive Earnings Increases","year":2004,"lang":"en","type":"article","venue":"Journal of Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":298,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Stock (firearms); Institutional investor; Business; Private information retrieval; Stock price; Monetary economics; Structural break; Transient (computer programming); Earnings management; Finance; Economics; Econometrics; Corporate governance; Computer science","score_opus":0.12376523003708916,"score_gpt":0.308463786234322,"score_spread":0.18469855619723285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124455480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989814,0.000057146444,0.00012915947,0.00011562023,0.000002069039,0.0000037686523,0.0000471897,0.00000215409,0.00066155195],"genre_scores_gemma":[0.99961853,0.000063918735,0.000061028455,0.00003139475,0.0000073006636,0.000002342735,0.000051463598,5.316436e-7,0.00016346302],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954295,0.00015090198,0.00006323474,0.000055782537,0.00009496316,0.00009219423],"domain_scores_gemma":[0.9717862,0.00932119,0.015362864,0.0015989804,0.00068803795,0.0012427312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015443212,0.00013064255,0.00020787439,0.0005298422,0.00026280023,0.0013147678,0.00026794046,0.00091153046,0.0025769155],"category_scores_gemma":[0.014771169,0.00020233073,0.00013307492,0.00041429282,0.00043984564,0.00091369386,0.00042445934,0.00067272905,0.0005019779],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006144853,0.00030417272,0.98207974,0.0000122463,0.000059884303,0.00024637426,0.0005548866,0.0005801947,0.0013082293,0.00036864053,0.00020390014,0.013667137],"study_design_scores_gemma":[0.00006487704,0.000530462,0.9877024,0.000022773678,0.00007120431,0.0004982352,0.001664704,0.0045853117,0.0020278767,0.0017412413,0.0010617676,0.000029137536],"about_ca_topic_score_codex":0.0014792278,"about_ca_topic_score_gemma":0.0020721445,"teacher_disagreement_score":0.0025769155,"about_ca_system_score_codex":0.00017281807,"about_ca_system_score_gemma":0.0001292217,"threshold_uncertainty_score":0.00862062},"labels":[],"label_agreement":null},{"id":"W3124460380","doi":"10.1016/j.econlet.2016.12.014","title":"Volatility and expected option returns: A note","year":2016,"lang":"en","type":"article","venue":"Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Moneyness; Volatility (finance); Implied volatility; Economics; Volatility smile; Econometrics; Volatility swap; Financial economics; Valuation of options; Stochastic volatility; Forward volatility","score_opus":0.019081101907319962,"score_gpt":0.1894159683781316,"score_spread":0.17033486647081164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124460380","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10720365,0.14767824,0.2517322,0.27573577,0.014271491,0.00006458034,0.001121386,0.00031946058,0.2018733],"genre_scores_gemma":[0.77103204,0.06200516,0.022794629,0.00865477,0.032981303,0.000055235116,0.00052759453,0.00024409815,0.10170512],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99940574,0.00014970025,0.000053897227,0.0001552534,0.00017619782,0.000059258517],"domain_scores_gemma":[0.9924219,0.005502382,0.0003349551,0.0005262759,0.0009896747,0.00022486385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017958593,0.00060591195,0.00078695774,0.00094676844,0.0005872398,0.004602906,0.0013207474,0.0027888427,0.011920288],"category_scores_gemma":[0.013719384,0.0005096928,0.0009981851,0.0017651897,0.0018178248,0.0079688635,0.0013185674,0.004308013,0.0019715258],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060303475,0.00009515729,0.0034863583,0.0001519816,0.00008159137,0.00052628457,0.00018037818,0.0069813235,0.0010748202,0.9178765,0.02762564,0.041859698],"study_design_scores_gemma":[0.000013820687,0.000021833463,0.0030496118,0.00007105346,0.00003216291,0.00021038538,0.000064113454,0.015724007,0.00036588954,0.9596498,0.020756967,0.00004028973],"about_ca_topic_score_codex":0.0041834633,"about_ca_topic_score_gemma":0.002674435,"teacher_disagreement_score":0.011920288,"about_ca_system_score_codex":0.0009972868,"about_ca_system_score_gemma":0.00085665664,"threshold_uncertainty_score":0.039877415},"labels":[],"label_agreement":null},{"id":"W3124474718","doi":"10.2139/ssrn.2927013","title":"Information Disclosure in Financial Markets","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Financial market; Finance; Financial system; Accounting","score_opus":0.011166146429721626,"score_gpt":0.2058305535906472,"score_spread":0.19466440716092556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124474718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51105213,0.0502247,0.04793028,0.09694923,0.001731147,0.00010598953,0.00092779216,0.00019768695,0.29088104],"genre_scores_gemma":[0.9836453,0.004883276,0.00086396525,0.00062356156,0.0008915809,0.000017986174,0.00007341534,0.000007983319,0.008993037],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997849,0.0011659411,0.00014923731,0.00019378646,0.00044861613,0.00019347954],"domain_scores_gemma":[0.9672317,0.024180882,0.0050606066,0.0012527469,0.0016532971,0.00062067923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035001573,0.00022186886,0.0005550555,0.0012180436,0.00093524146,0.0052749077,0.00031796528,0.0032170254,0.009174251],"category_scores_gemma":[0.027829235,0.00032977492,0.00027588708,0.0018511931,0.001897704,0.005811848,0.0009132813,0.0019176014,0.0007168453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012730845,0.00014812555,0.006945167,0.00020850856,0.000033284905,0.00026492198,0.0007751759,0.00334185,0.00028068357,0.9300871,0.01426272,0.043525167],"study_design_scores_gemma":[0.000031375683,0.00005216373,0.004248391,0.00012618816,0.000028389017,0.00024278696,0.00037368265,0.009054714,0.00028382425,0.97450984,0.01102988,0.000018790139],"about_ca_topic_score_codex":0.00087537424,"about_ca_topic_score_gemma":0.0005714404,"teacher_disagreement_score":0.009174251,"about_ca_system_score_codex":0.00103339,"about_ca_system_score_gemma":0.0010667472,"threshold_uncertainty_score":0.030690968},"labels":[],"label_agreement":null},{"id":"W3124482785","doi":"10.2139/ssrn.2604137","title":"A Model of Anomaly Discovery","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Anomaly (physics); Computer science; Physics","score_opus":0.0422766403646472,"score_gpt":0.21596262242513006,"score_spread":0.17368598206048286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124482785","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16603042,0.001808122,0.7554961,0.026067682,0.0005507844,0.00009640077,0.001856982,0.0018297515,0.0462638],"genre_scores_gemma":[0.94652885,0.0007769981,0.024200797,0.0005798545,0.0005741893,0.000094957104,0.00039406097,0.00014177512,0.026708473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99770075,0.00096179295,0.00011201937,0.0005551163,0.00035184328,0.00031851602],"domain_scores_gemma":[0.97574323,0.018673696,0.0019833748,0.001352686,0.0014245267,0.00082247605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003886608,0.0009392322,0.0020169397,0.002347642,0.0010161884,0.004512129,0.0041457675,0.008261758,0.010398947],"category_scores_gemma":[0.031736042,0.0010450464,0.0014771768,0.0029800464,0.0035900034,0.006573258,0.0026064483,0.0038362374,0.0015410343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018238496,0.000083397426,0.0022461254,0.00008008031,0.00009361818,0.00065783714,0.0001751759,0.18717757,0.00055274623,0.79132265,0.0056902133,0.011738231],"study_design_scores_gemma":[0.00005042342,0.000020864567,0.00018974599,0.000008407815,0.000021157919,0.00020871642,0.000018413582,0.6906429,0.000081259954,0.30785325,0.0008841753,0.000020650297],"about_ca_topic_score_codex":0.0051896,"about_ca_topic_score_gemma":0.0019603306,"teacher_disagreement_score":0.010398947,"about_ca_system_score_codex":0.0020603586,"about_ca_system_score_gemma":0.0015517696,"threshold_uncertainty_score":0.034787953},"labels":[],"label_agreement":null},{"id":"W3124500495","doi":"10.1111/1911-3846.12417","title":"Do Corporate Site Visits Impact Stock Prices?","year":2018,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":289,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Stock (firearms); Stock price; Stock market; Finance; Accounting; Geography","score_opus":0.1727811036602857,"score_gpt":0.342879196581502,"score_spread":0.1700980929212163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124500495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99782664,0.00014884937,0.00007137642,0.00013084347,0.00000838021,0.0000061123224,0.0005603139,0.0000060251,0.001241509],"genre_scores_gemma":[0.99914086,0.000063253625,0.000035765843,0.000019075318,0.000017683034,0.0000029761343,0.0003448732,0.0000014036052,0.0003741366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923706,0.0002207082,0.00005268411,0.00013750872,0.00016260473,0.00018949728],"domain_scores_gemma":[0.98637646,0.0037076948,0.007017028,0.00058873976,0.0007085963,0.001601556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072924234,0.00020554378,0.0003323713,0.0010400638,0.00031769834,0.0012199472,0.0004144127,0.00072132115,0.004718069],"category_scores_gemma":[0.0057100262,0.00012931798,0.00041438662,0.0016927118,0.0004183737,0.00070293364,0.0006087489,0.0006301794,0.00052745553],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034280874,0.000036996782,0.9966325,0.000008708758,0.000045779005,0.00010189482,0.00011384807,0.00020398672,0.00007596976,0.000054081367,0.00032307088,0.0023690083],"study_design_scores_gemma":[0.0000016320165,0.000021963308,0.9988219,0.0000036163042,0.000014687168,0.000024604919,0.00026811476,0.0005498835,0.000030965377,0.000038579907,0.00022143117,0.0000025750726],"about_ca_topic_score_codex":0.024789795,"about_ca_topic_score_gemma":0.03862271,"teacher_disagreement_score":0.024789795,"about_ca_system_score_codex":0.00055221305,"about_ca_system_score_gemma":0.00043987916,"threshold_uncertainty_score":0.049291015},"labels":[],"label_agreement":null},{"id":"W3124502480","doi":"10.1016/j.jfineco.2016.04.003","title":"The price of variance risk","year":2016,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":187,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Variance risk premium; Econometrics; Economics; Variance (accounting); Volatility (finance); Capital asset pricing model; Stock (firearms); Predictive power; Financial economics; Hedge; Risk premium; Realized variance; Quarter (Canadian coin); Stochastic volatility; Volatility risk premium","score_opus":0.015022664854057479,"score_gpt":0.18804454444986557,"score_spread":0.1730218795958081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124502480","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30813152,0.017006375,0.2233049,0.1108862,0.0029914696,0.000048633363,0.0005802304,0.0005702031,0.33648053],"genre_scores_gemma":[0.974037,0.001447194,0.00313727,0.0008284012,0.002131375,0.000017550787,0.00005108435,0.00008061537,0.018269494],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99866843,0.0004663294,0.000061983235,0.00019931418,0.0004814646,0.00012245617],"domain_scores_gemma":[0.9896086,0.0071270494,0.00096582214,0.0009858499,0.0009077594,0.0004049651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024454065,0.00041270212,0.001087218,0.0010544654,0.0008910121,0.006101028,0.00087739684,0.004567219,0.00844532],"category_scores_gemma":[0.027140575,0.0005786717,0.00047958328,0.00086039637,0.0033606484,0.007035847,0.0013789212,0.005005423,0.0008768866],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029333502,0.000017025344,0.0004905668,0.000019583906,0.000016410819,0.00010082311,0.000073245516,0.0018820704,0.00028240372,0.9887841,0.0031842145,0.005120347],"study_design_scores_gemma":[0.000012916372,0.000011637808,0.0006233718,0.00001746392,0.000008691016,0.000113898626,0.000030694777,0.0110490825,0.00011451477,0.9853498,0.0026498444,0.000018030836],"about_ca_topic_score_codex":0.000759853,"about_ca_topic_score_gemma":0.00060970697,"teacher_disagreement_score":0.00844532,"about_ca_system_score_codex":0.0013150852,"about_ca_system_score_gemma":0.00056239864,"threshold_uncertainty_score":0.028252423},"labels":[],"label_agreement":null},{"id":"W3124518736","doi":"10.2139/ssrn.2867607","title":"Are Investors Rational When Valuing Loss Firms?","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"","keywords":"Business; Financial economics; Economics; Monetary economics; Finance; Actuarial science","score_opus":0.023425889720897607,"score_gpt":0.20741726481208816,"score_spread":0.18399137509119057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124518736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90484655,0.0023220277,0.011591287,0.029349446,0.00017404035,0.00007920342,0.00015664341,0.000046537672,0.051434312],"genre_scores_gemma":[0.997006,0.00040376408,0.0004965353,0.00043314093,0.00008193476,0.0000070042265,0.00002252265,0.0000051319184,0.0015440654],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99860436,0.0005100038,0.00007626306,0.00014768605,0.00034790082,0.0003138203],"domain_scores_gemma":[0.9805541,0.009815298,0.0060108984,0.0011677706,0.0014665631,0.00098536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048003057,0.0003138339,0.0004517128,0.00069853454,0.0003955601,0.0046693846,0.00071567664,0.0028759898,0.0063424422],"category_scores_gemma":[0.050828047,0.00025200166,0.00026569652,0.00034840708,0.0022007686,0.0059721377,0.0007666766,0.001580292,0.00071209436],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030393873,0.0006035879,0.3363369,0.00042346347,0.0006845152,0.0027949936,0.005187045,0.016382307,0.003673074,0.38845453,0.02068406,0.22173615],"study_design_scores_gemma":[0.00027557285,0.0003117487,0.059908375,0.0002256919,0.00022472261,0.0010055788,0.00936769,0.039764963,0.0027375694,0.87403715,0.0120415455,0.00009942663],"about_ca_topic_score_codex":0.0015159739,"about_ca_topic_score_gemma":0.0016917685,"teacher_disagreement_score":0.0063424422,"about_ca_system_score_codex":0.0009868193,"about_ca_system_score_gemma":0.0005569516,"threshold_uncertainty_score":0.02538675},"labels":[],"label_agreement":null},{"id":"W3124523106","doi":"","title":"Resolving the Presidential Puzzle","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Presidential system; Democracy; Economics; Stock (firearms); Financial economics; Differential (mechanical device); Default risk; Politics; Stock market; Presidential address; Risk premium; Monetary economics; Political science; Actuarial science; Credit risk; Law; History; Public administration","score_opus":0.02916185466354466,"score_gpt":0.19576623337119275,"score_spread":0.1666043787076481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124523106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5823067,0.015708486,0.012144473,0.28246674,0.003168858,0.000025501831,0.000850282,0.00024326326,0.10308576],"genre_scores_gemma":[0.98298407,0.0018104211,0.0009011107,0.0070592463,0.0019682734,0.000008691973,0.00013788158,0.000050127393,0.0050801253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977488,0.0011821368,0.00007182964,0.00031755713,0.0003539651,0.0003257159],"domain_scores_gemma":[0.9821716,0.009297948,0.0037648827,0.0020789525,0.0015927103,0.001093966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008066389,0.00025043567,0.00077635405,0.0007115724,0.0013803961,0.0032966812,0.0006158427,0.0028264578,0.012748032],"category_scores_gemma":[0.04239892,0.00020697489,0.00032074502,0.00090006844,0.0015268109,0.0042986446,0.0018040326,0.0033587422,0.0016668149],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006611335,0.00028061084,0.06978513,0.00028869952,0.00028210648,0.0009828766,0.0035609044,0.005047521,0.0011593758,0.5756134,0.16558176,0.17675653],"study_design_scores_gemma":[0.0002655443,0.00032342007,0.09976991,0.0004462201,0.00017701132,0.0011343335,0.005923242,0.014523156,0.0015017492,0.5767416,0.29908448,0.00010928577],"about_ca_topic_score_codex":0.0021232006,"about_ca_topic_score_gemma":0.0022824546,"teacher_disagreement_score":0.012748032,"about_ca_system_score_codex":0.0007599059,"about_ca_system_score_gemma":0.0011265948,"threshold_uncertainty_score":0.04265964},"labels":[],"label_agreement":null},{"id":"W3124549847","doi":"","title":"Multilevel and Tail Risk Management","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Econometrics; Expected shortfall; Value at risk; Computer science; CVAR; Risk management; Sample (material); Sample size determination; Limiting; Economics; Statistics; Mathematics; Finance; Engineering","score_opus":0.01809885887044075,"score_gpt":0.193068838790485,"score_spread":0.17496997992004426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124549847","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044236686,0.00084265653,0.9428082,0.0012736919,0.000100685036,0.000110514564,0.0006452962,0.00077267684,0.009209596],"genre_scores_gemma":[0.75521237,0.000545901,0.23713335,0.00044978893,0.00020896808,0.00023904858,0.00054549275,0.00022094257,0.0054442217],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9946044,0.0021565375,0.00037750273,0.0010115806,0.0013924325,0.00045756547],"domain_scores_gemma":[0.94421464,0.035516843,0.007164993,0.008396392,0.0034148332,0.0012922785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0094605535,0.00094649114,0.0014743156,0.0036345478,0.0008135627,0.003648508,0.0028899412,0.0023751063,0.012272581],"category_scores_gemma":[0.054080255,0.0006380885,0.0019819688,0.0026950175,0.0025408245,0.00592972,0.0045814365,0.0032388004,0.0011550016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021981826,0.00018152173,0.06703959,0.00034230063,0.00051708013,0.00055468094,0.00084451755,0.14072515,0.0020111764,0.46201715,0.006169364,0.31937757],"study_design_scores_gemma":[0.00002633644,0.00016603319,0.009846719,0.00015409074,0.00008763213,0.0002544205,0.00016509893,0.45372778,0.0013539854,0.5294043,0.0047301613,0.00008350632],"about_ca_topic_score_codex":0.002401314,"about_ca_topic_score_gemma":0.0026365158,"teacher_disagreement_score":0.012272581,"about_ca_system_score_codex":0.0013887038,"about_ca_system_score_gemma":0.0010078648,"threshold_uncertainty_score":0.050032794},"labels":[],"label_agreement":null},{"id":"W3124553967","doi":"10.2139/ssrn.3165281","title":"The Importance of Director External Social Networks to Stock Price Crash Risk","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Business; Stock price; Crash; Stock (firearms); Actuarial science; Financial economics; Economics; Computer science; Engineering","score_opus":0.016431336040961662,"score_gpt":0.213143492489299,"score_spread":0.19671215644833734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124553967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819624,0.00067951076,0.0004630521,0.002257252,0.000053756,0.000014776234,0.00042443565,0.000011425793,0.014133413],"genre_scores_gemma":[0.99880135,0.00018744764,0.00003988552,0.00006978943,0.000050651688,0.0000032434318,0.000092740236,0.0000018900071,0.00075294054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993113,0.00031266574,0.000052004612,0.00007481954,0.00009985833,0.000149262],"domain_scores_gemma":[0.9781123,0.009497336,0.0076478915,0.0009334025,0.001156448,0.002652582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010323953,0.00014645503,0.00018561895,0.0012662346,0.00063042424,0.0021707646,0.00034254303,0.00086971663,0.009196275],"category_scores_gemma":[0.016729096,0.00015640608,0.00023460822,0.0009510262,0.00052841264,0.001501293,0.0010623236,0.0010149943,0.00067576586],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031652208,0.00023308935,0.9776714,0.00002502615,0.0001683722,0.00019610334,0.00041279072,0.0005155406,0.000259737,0.0021098272,0.001261938,0.01682965],"study_design_scores_gemma":[0.000019790084,0.00015417836,0.98983395,0.000030074258,0.00011202506,0.00027752444,0.0022202965,0.0023027037,0.00017780258,0.002860757,0.0019975475,0.0000134217225],"about_ca_topic_score_codex":0.0041061975,"about_ca_topic_score_gemma":0.0082855895,"teacher_disagreement_score":0.009196275,"about_ca_system_score_codex":0.000443726,"about_ca_system_score_gemma":0.00031049387,"threshold_uncertainty_score":0.03076464},"labels":[],"label_agreement":null},{"id":"W3124571982","doi":"10.3386/w8791","title":"Performance Evaluation with Stochastic Discount Factors","year":2002,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"University of Washington; Arizona State University","keywords":"Stochastic discount factor; Econometrics; Economics; Business; Mathematics; Capital asset pricing model","score_opus":0.44377172223276934,"score_gpt":0.44451935721649644,"score_spread":0.0007476349837270968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124571982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86639977,0.0010042838,0.12740605,0.00046603289,0.000056469064,0.000067602545,0.0002856553,0.0002917077,0.004022335],"genre_scores_gemma":[0.9867265,0.00013975688,0.012679415,0.000021071683,0.000014950369,0.000013914401,0.00016292013,0.00001582354,0.00022557242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9938036,0.003656588,0.00032075227,0.00043673068,0.0014322995,0.00035005875],"domain_scores_gemma":[0.9536898,0.03437965,0.004976102,0.0027652974,0.0032833396,0.0009056988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014360701,0.0010842368,0.0010117409,0.0018614054,0.00028141495,0.0017185009,0.00094219984,0.0009778854,0.0007551353],"category_scores_gemma":[0.05052744,0.00032004615,0.00086379424,0.0014320852,0.0007926709,0.0020865023,0.00093016715,0.0008840443,0.000100412886],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004148625,0.00009030619,0.012043858,0.00004473628,0.00011559076,0.00004356988,0.00007549215,0.96190894,0.00040498294,0.008511931,0.00043736675,0.015908403],"study_design_scores_gemma":[0.000019482646,0.00015407948,0.0010211823,0.00000906915,0.00001581579,0.000016120657,0.000014334851,0.9947239,0.00051912444,0.003335231,0.00015874235,0.000012909494],"about_ca_topic_score_codex":0.008015292,"about_ca_topic_score_gemma":0.003683633,"teacher_disagreement_score":0.014360701,"about_ca_system_score_codex":0.0026379933,"about_ca_system_score_gemma":0.0009414214,"threshold_uncertainty_score":0.07594752},"labels":[],"label_agreement":null},{"id":"W3124572353","doi":"10.4236/ti.2013.41b010","title":"Cross-Sectional Estimation Biases in Risk Premia and Ze-ro-Beta Excess Returns","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"BETA (programming language); Economics; Estimation; Risk premium; Excess return; Econometrics; Computer science; Biology","score_opus":0.028429873591923813,"score_gpt":0.2402907582565682,"score_spread":0.2118608846646444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124572353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7017605,0.0020125443,0.28320715,0.0010215058,0.00014073157,0.00006155957,0.00043448698,0.00059520575,0.010766315],"genre_scores_gemma":[0.98658305,0.000418901,0.011713046,0.00017391956,0.00006925872,0.000025447434,0.0002758909,0.000043945794,0.00069651875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9926023,0.0042196307,0.0007169358,0.0011148185,0.0011137632,0.00023254042],"domain_scores_gemma":[0.8569278,0.10622936,0.016579263,0.016720826,0.0032253792,0.00031734005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021731475,0.0005022046,0.00054030376,0.0013096356,0.00029452465,0.0021308693,0.0007701001,0.00081692525,0.002194214],"category_scores_gemma":[0.13467155,0.0004508819,0.0005766747,0.00090761716,0.00080458715,0.0021913678,0.0012308916,0.0012091842,0.00065498403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037257205,0.00021784534,0.75117254,0.0002260615,0.0011899928,0.00042271044,0.0013295651,0.023647659,0.004287493,0.074547715,0.0019809043,0.14060493],"study_design_scores_gemma":[0.00007420672,0.00034273756,0.7257254,0.000270021,0.0009985644,0.0018715077,0.0007881119,0.13445722,0.024471976,0.103989385,0.0068201926,0.00019061507],"about_ca_topic_score_codex":0.0009267507,"about_ca_topic_score_gemma":0.0007448672,"teacher_disagreement_score":0.021731475,"about_ca_system_score_codex":0.00033327844,"about_ca_system_score_gemma":0.00027868914,"threshold_uncertainty_score":0.114928424},"labels":[],"label_agreement":null},{"id":"W3124577457","doi":"10.2139/ssrn.3129156","title":"Fundamental Analysis: Combining the Search for Quality with the Search for Value","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Quality (philosophy); Value (mathematics); Computer science; Information retrieval; Machine learning; Physics","score_opus":0.05040722723441173,"score_gpt":0.2939674180525451,"score_spread":0.24356019081813338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124577457","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22288792,0.005358283,0.6601707,0.028696533,0.00040848582,0.00028767248,0.0012870264,0.00035752248,0.08054577],"genre_scores_gemma":[0.9556121,0.001649168,0.034422588,0.0007268169,0.0005686237,0.000107136504,0.00036101582,0.00010028174,0.00645215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947233,0.0028807998,0.00018128692,0.00075362663,0.0010591716,0.00040181994],"domain_scores_gemma":[0.95848775,0.030934969,0.0045270887,0.002786646,0.0019844242,0.0012790905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005662418,0.0007159215,0.0022717922,0.004419165,0.0013950226,0.008179678,0.0036253694,0.0037075242,0.017712772],"category_scores_gemma":[0.07540411,0.0005530071,0.0018238852,0.006481772,0.005564157,0.021556146,0.0042158505,0.0039212643,0.0007329653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118565324,0.00012434501,0.0059555084,0.00019343107,0.00014403654,0.000091349546,0.00037393064,0.011198594,0.00028333563,0.9434067,0.0037287679,0.03438147],"study_design_scores_gemma":[0.00002645783,0.000036022062,0.0016588238,0.00003136649,0.000029478233,0.000046101137,0.00019028268,0.043246694,0.000118828335,0.95321774,0.0013794237,0.000018753362],"about_ca_topic_score_codex":0.0056189015,"about_ca_topic_score_gemma":0.003064668,"teacher_disagreement_score":0.017712772,"about_ca_system_score_codex":0.002833707,"about_ca_system_score_gemma":0.0033006663,"threshold_uncertainty_score":0.059255123},"labels":[],"label_agreement":null},{"id":"W3124579424","doi":"","title":"Government Bond Market Seasonality, Diversification and Cointegration: International Evidence","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Diversification (marketing strategy); Government bond; Economics; Bond market; Financial economics; Seasonality; Bond; Liberian dollar; Econometrics; Monetary economics; Business; Finance","score_opus":0.027184940727137,"score_gpt":0.226394007462559,"score_spread":0.199209066735422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124579424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717382,0.014375554,0.0009172446,0.0007917405,0.000014378781,0.000011088631,0.00044076008,0.000012065614,0.011698957],"genre_scores_gemma":[0.99372685,0.0052805953,0.00027151784,0.000063731524,0.000031473784,0.0000024180729,0.00036886422,0.0000043319706,0.0002501659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994659,0.00016186813,0.00006760762,0.00010127719,0.00013587301,0.00006760711],"domain_scores_gemma":[0.98054117,0.008722942,0.0071010347,0.0014784682,0.0016267572,0.0005296464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001821444,0.00019205015,0.00035014222,0.0015838252,0.00029170053,0.0012049909,0.00031171585,0.00045401527,0.0029157707],"category_scores_gemma":[0.010940759,0.00016499951,0.00028885776,0.0038175138,0.0011702497,0.00096982956,0.00049221684,0.000481361,0.00038768578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050129415,0.00011393504,0.891963,0.000281548,0.0003201897,0.00052748213,0.0008439279,0.0009474385,0.00055321073,0.007473408,0.0013980351,0.09507647],"study_design_scores_gemma":[0.000029774725,0.00013161315,0.9848407,0.0002268909,0.0003275137,0.00069427816,0.0008057029,0.0015391487,0.0007220087,0.003317035,0.0073475153,0.000017815368],"about_ca_topic_score_codex":0.008027494,"about_ca_topic_score_gemma":0.009519324,"teacher_disagreement_score":0.008027494,"about_ca_system_score_codex":0.00035069278,"about_ca_system_score_gemma":0.00033010804,"threshold_uncertainty_score":0.015961528},"labels":[],"label_agreement":null},{"id":"W3124614827","doi":"10.2139/ssrn.3101176","title":"Optimal Underwriting Contracts in Securities Issuance Under Rank-Dependent Expected Utility","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Underwriting; Business; Investment banking; Rank (graph theory); Private placement; Actuarial science; Financial system; Mathematics; Combinatorics","score_opus":0.022715742423595208,"score_gpt":0.23311418057524888,"score_spread":0.21039843815165368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124614827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70750886,0.0013247388,0.27152026,0.0052444977,0.00015274044,0.00037105836,0.0005681607,0.00053636805,0.012773363],"genre_scores_gemma":[0.9763312,0.0005427696,0.015138773,0.00014050775,0.00017163731,0.000119880555,0.00023403412,0.00007402303,0.0072470633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9908851,0.0051218276,0.0006196493,0.00094656006,0.0008745479,0.0015522806],"domain_scores_gemma":[0.9109266,0.06849145,0.008950923,0.002948667,0.003596481,0.005085813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016157662,0.0016557068,0.0049661836,0.0018792411,0.0013402872,0.0062946663,0.002762154,0.007997291,0.0068677417],"category_scores_gemma":[0.07276577,0.0023993053,0.0015140394,0.0016186953,0.004353659,0.00831848,0.0031914634,0.005156565,0.00089256285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026002163,0.00087083003,0.0063718855,0.00055520335,0.0002520919,0.0010152753,0.0006568714,0.47539708,0.0039026088,0.4657512,0.004902076,0.037724692],"study_design_scores_gemma":[0.00044297922,0.0004492042,0.001372467,0.00007416483,0.00008123327,0.00016518413,0.00016729855,0.7718045,0.000995234,0.22382784,0.0005357057,0.000084136394],"about_ca_topic_score_codex":0.0035832485,"about_ca_topic_score_gemma":0.0023915295,"teacher_disagreement_score":0.016157662,"about_ca_system_score_codex":0.0031032176,"about_ca_system_score_gemma":0.0057654926,"threshold_uncertainty_score":0.08545089},"labels":[],"label_agreement":null},{"id":"W3124638227","doi":"10.1016/j.jfineco.2016.05.006","title":"Are Friday announcements special? Overcoming selection bias","year":2016,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Dividend; Earnings; Selection (genetic algorithm); Equity (law); Selection bias; Business; Monetary economics; Economics; Financial economics; Accounting; Finance; Computer science","score_opus":0.049552086072460644,"score_gpt":0.21756037632255687,"score_spread":0.16800829025009623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124638227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7645822,0.0093797855,0.08984213,0.05500289,0.008131843,0.0017877663,0.009787168,0.0010011169,0.06048513],"genre_scores_gemma":[0.9659678,0.00086410384,0.007519865,0.007109938,0.0042723,0.0007492301,0.0015749765,0.00018315448,0.011758612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.95862377,0.024579769,0.0033654803,0.0055686603,0.005202317,0.002660002],"domain_scores_gemma":[0.6586113,0.20735931,0.062280044,0.05216654,0.014784364,0.004798481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07491208,0.00045002977,0.0014864412,0.002277648,0.00180882,0.0040780837,0.0018119514,0.0029714538,0.012365294],"category_scores_gemma":[0.26974216,0.0006991866,0.0011830662,0.0030492845,0.0015626246,0.002605214,0.001946305,0.0021841065,0.0033876272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032073439,0.00065067556,0.6643972,0.0005849262,0.0024276993,0.0010033962,0.004989077,0.0013991884,0.0016690416,0.023413507,0.09927644,0.1969814],"study_design_scores_gemma":[0.001353179,0.001132244,0.7165219,0.0006280854,0.00575447,0.0011373765,0.006400929,0.015079453,0.007361461,0.07174323,0.1726418,0.00024586328],"about_ca_topic_score_codex":0.0069705755,"about_ca_topic_score_gemma":0.008993654,"teacher_disagreement_score":0.07491208,"about_ca_system_score_codex":0.0010909578,"about_ca_system_score_gemma":0.0020730067,"threshold_uncertainty_score":0.39617765},"labels":[],"label_agreement":null},{"id":"W3124642734","doi":"10.1080/07350015.2000.10524851","title":"Identifying Bull and Bear Markets in Stock Returns","year":2000,"lang":"en","type":"article","venue":"Journal of Business and Economic Statistics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":300,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Alberta","funders":"","keywords":"Stock (firearms); Economics; Econometrics; Financial economics; Geography","score_opus":0.02913975670723687,"score_gpt":0.22535538047882486,"score_spread":0.196215623771588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124642734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94180775,0.00019116061,0.055936802,0.000177521,0.000013703866,0.000027600876,0.00014434804,0.00009019262,0.0016110223],"genre_scores_gemma":[0.9964115,0.00007489619,0.0026427286,0.00002656001,0.000014859296,0.000010491346,0.00016330932,0.000008348492,0.00064721605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992843,0.00026101831,0.00003097442,0.00017588583,0.00010067183,0.0001471167],"domain_scores_gemma":[0.99551743,0.0031982271,0.000724714,0.00021520343,0.00014836191,0.00019602905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045000543,0.0003403036,0.0007018339,0.0009045558,0.0004528631,0.0017129302,0.0005091453,0.0009437042,0.0018603392],"category_scores_gemma":[0.011008768,0.00039752296,0.00079050683,0.00048725947,0.0005376985,0.0020528662,0.001203506,0.00087582355,0.00021673077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010828482,0.0004995135,0.6218483,0.000092994145,0.0007077911,0.0008956232,0.0010477848,0.20584227,0.0053443727,0.082214765,0.0022156995,0.07820817],"study_design_scores_gemma":[0.00006450943,0.00016287246,0.097063854,0.000017238666,0.000117823336,0.00013684023,0.0002528936,0.8697109,0.0015516807,0.029816566,0.0010638378,0.000040958683],"about_ca_topic_score_codex":0.012374427,"about_ca_topic_score_gemma":0.011055507,"teacher_disagreement_score":0.012374427,"about_ca_system_score_codex":0.0006275286,"about_ca_system_score_gemma":0.00080674834,"threshold_uncertainty_score":0.024604797},"labels":[],"label_agreement":null},{"id":"W3124646784","doi":"10.1016/j.jfineco.2012.07.002","title":"Market Skewness Risk and the Cross Section of Stock Returns","year":2013,"lang":"en","type":"article","venue":"CBS Research Portal (Copenhagen Business School)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":441,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Bank of Canada","funders":"","keywords":"Skewness; Econometrics; Economics; Volatility (finance); Financial economics; Stock market; Risk premium; Stock market index; Market risk; Stock (firearms); Geography","score_opus":0.05042741460542288,"score_gpt":0.288062584133382,"score_spread":0.2376351695279591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124646784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98315734,0.0012287074,0.01179179,0.00026751676,0.000016583515,0.000011570305,0.00023226884,0.000088147535,0.0032061492],"genre_scores_gemma":[0.9986634,0.0002308341,0.0003493991,0.000012401942,0.000022048525,0.00000487013,0.00018029763,0.000007928436,0.0005288037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954635,0.0001487389,0.000034211153,0.00008617982,0.00010093041,0.00008362416],"domain_scores_gemma":[0.9861602,0.008055908,0.0034973733,0.0009803963,0.0006010084,0.0007051449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020748728,0.00028564507,0.00030447307,0.001199413,0.0001380599,0.0011649827,0.00025207904,0.0004926449,0.0046563917],"category_scores_gemma":[0.014806253,0.00021291476,0.0003887448,0.00088644197,0.00057640235,0.0013584185,0.00092370366,0.00044515924,0.0007846828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060300203,0.0001440793,0.8616557,0.00008466189,0.00073630526,0.0011745193,0.00034728725,0.03692571,0.0061423965,0.037852746,0.0014245113,0.052909065],"study_design_scores_gemma":[0.00003665196,0.00021663884,0.8185397,0.00006962998,0.0001869693,0.0016533637,0.00027602233,0.10183866,0.002625316,0.07310189,0.0013784496,0.000076695025],"about_ca_topic_score_codex":0.0009241702,"about_ca_topic_score_gemma":0.0006671571,"teacher_disagreement_score":0.0046563917,"about_ca_system_score_codex":0.00030538184,"about_ca_system_score_gemma":0.00021754773,"threshold_uncertainty_score":0.015577197},"labels":[],"label_agreement":null},{"id":"W3124648202","doi":"10.2308/accr.2009.84.6.1805","title":"Market Efficiencies and Drift: A Computational Model","year":2009,"lang":"en","type":"article","venue":"The Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Bridge (graph theory); Work (physics); Price discovery; Microeconomics; Market price; Financial economics; Econometrics","score_opus":0.02924669817206754,"score_gpt":0.2305481773008265,"score_spread":0.20130147912875895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124648202","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25404513,0.00092488027,0.693165,0.0075982786,0.0001362707,0.00012277334,0.0009404597,0.00043711087,0.04263011],"genre_scores_gemma":[0.9264294,0.00048735124,0.06370643,0.00027460163,0.000097381046,0.00016988188,0.00030197308,0.00007230274,0.008460665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915624,0.0004362507,0.000041050513,0.00014425148,0.00011778123,0.00010437626],"domain_scores_gemma":[0.98673624,0.011296862,0.0006494825,0.000541865,0.00045765098,0.00031795932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026931188,0.000460332,0.0010167025,0.001060411,0.00084443676,0.0029852549,0.0019557453,0.0020380507,0.009268622],"category_scores_gemma":[0.020974308,0.0006189289,0.0011483402,0.0013295651,0.0020689869,0.004487247,0.0024215553,0.0019833294,0.0005568667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006278644,0.000046466605,0.0012802671,0.00003032485,0.000029197685,0.00012261588,0.00012544691,0.62425363,0.0000905629,0.36601105,0.0015411155,0.00640656],"study_design_scores_gemma":[0.000017652184,0.0000052483592,0.00007816212,0.0000041860894,0.0000044801827,0.00001944713,0.000014739503,0.9016222,0.000021832573,0.09781593,0.00039209746,0.0000040782375],"about_ca_topic_score_codex":0.0072797607,"about_ca_topic_score_gemma":0.004185627,"teacher_disagreement_score":0.009268622,"about_ca_system_score_codex":0.002001721,"about_ca_system_score_gemma":0.0016461335,"threshold_uncertainty_score":0.031006575},"labels":[],"label_agreement":null},{"id":"W3124648950","doi":"10.1506/m9b9-rqd7-u8ka-503u","title":"Why Do Large Firms' Prices Anticipate Earnings Earlier than Small Firms' Prices?*","year":2000,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Portfolio; Incentive; Economics; Monetary economics; Investment (military); Financial economics; Business; Finance; Microeconomics","score_opus":0.08679482631117888,"score_gpt":0.2933033473658178,"score_spread":0.20650852105463893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124648950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910947,0.00023373218,0.0010620893,0.0015919417,0.00004679831,0.000012522451,0.00024611555,0.000036065394,0.0056758993],"genre_scores_gemma":[0.9994174,0.000039405488,0.00007378383,0.0000743584,0.000031521562,0.000001743144,0.00006369571,0.000005076819,0.00029291422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996767,0.0000561826,0.000024729006,0.00010138236,0.00006136461,0.00007954587],"domain_scores_gemma":[0.9802444,0.009983298,0.006513437,0.00074723864,0.0010492838,0.0014624322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011662801,0.00015206015,0.0002846251,0.0005309132,0.00023601382,0.001683857,0.00035576712,0.00080028566,0.006279878],"category_scores_gemma":[0.019399196,0.00019093201,0.00021289,0.00057524303,0.00044541346,0.0014103686,0.00038981263,0.00067050575,0.0008519515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004872802,0.00012966452,0.9709944,0.000033040513,0.00007527243,0.00038031407,0.00027231846,0.0013405529,0.0012782561,0.003543452,0.0022650599,0.019200379],"study_design_scores_gemma":[0.000039956973,0.00011538471,0.9874407,0.000011805696,0.000026742724,0.00011532959,0.00036405536,0.0034351067,0.0006383192,0.0068865237,0.00090944517,0.000016668622],"about_ca_topic_score_codex":0.0034909938,"about_ca_topic_score_gemma":0.003783586,"teacher_disagreement_score":0.006279878,"about_ca_system_score_codex":0.00037211497,"about_ca_system_score_gemma":0.00027284728,"threshold_uncertainty_score":0.021008313},"labels":[],"label_agreement":null},{"id":"W3124659356","doi":"10.1287/mnsc.2015.2381","title":"Debt Covenants and Cross-Sectional Equity Returns","year":2016,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Covenant; Equity (law); Debt; Business; Shareholder; Economics; Equity risk; Monetary economics; Financial economics; Finance; Private equity; Corporate governance","score_opus":0.053215857757039665,"score_gpt":0.2792737109207062,"score_spread":0.22605785316366653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124659356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99845445,0.00029908627,0.00026027975,0.00008530025,0.0000037314683,0.000002478297,0.00007103217,0.0000054193797,0.00081819383],"genre_scores_gemma":[0.9996917,0.00004404715,0.000021992984,0.000006759927,0.000004768138,6.009127e-7,0.000082643084,8.7865857e-7,0.00014662206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990638,0.00029962722,0.00008816487,0.00015297317,0.00016593999,0.00022958388],"domain_scores_gemma":[0.97076225,0.008557058,0.015778214,0.0016079139,0.0011661176,0.0021283308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020426179,0.0002855841,0.00028697442,0.0008506479,0.00023359086,0.0017404136,0.00030661936,0.0005728815,0.0020276506],"category_scores_gemma":[0.015982548,0.00015693267,0.0003602382,0.0008662835,0.0005496062,0.0010782019,0.00078669004,0.00090285693,0.00034966186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018508868,0.000077861696,0.99260473,0.0000072541206,0.0001601861,0.000109398294,0.00005798746,0.00086919835,0.00057088205,0.0008255226,0.00010956138,0.004422197],"study_design_scores_gemma":[0.0000045648694,0.00007635818,0.9966197,0.000006665908,0.00004063482,0.00007983456,0.00006749306,0.0020265055,0.0004086697,0.00045241046,0.00021019607,0.000006960521],"about_ca_topic_score_codex":0.002504616,"about_ca_topic_score_gemma":0.0020075715,"teacher_disagreement_score":0.002504616,"about_ca_system_score_codex":0.00039915033,"about_ca_system_score_gemma":0.00024208393,"threshold_uncertainty_score":0.010802567},"labels":[],"label_agreement":null},{"id":"W3124668102","doi":"","title":"How Smooth Is Price Discovery? Evidence from Cross-listed Stock Trading","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Market liquidity; Price discovery; Econometrics; Financial economics; Arbitrage; Market maker; Monetary economics; Economics; Stock (firearms); Business; Stock market; Finance","score_opus":0.09221825713636206,"score_gpt":0.3089040011624497,"score_spread":0.21668574402608765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124668102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995178,0.00046424416,0.0014413414,0.00038676575,0.000008951049,0.0000050826357,0.00018326723,0.000029052142,0.0023033612],"genre_scores_gemma":[0.9991812,0.00011947517,0.00021968895,0.000031473268,0.000009534738,0.0000010238352,0.00015294914,0.0000062456133,0.00027848862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990584,0.000181112,0.00009181435,0.00026657616,0.0002807529,0.00012131533],"domain_scores_gemma":[0.9549802,0.021655483,0.011542137,0.0064002285,0.0038066339,0.001615257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033833059,0.00017056009,0.0003223154,0.001071567,0.0004722371,0.0022786441,0.0006459472,0.0009812219,0.0028117558],"category_scores_gemma":[0.051684625,0.00028887155,0.000299306,0.0013402764,0.0010783662,0.002231371,0.0012160225,0.0009301956,0.00044327465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082312524,0.000113996655,0.93421125,0.00008702218,0.0002443131,0.00033486218,0.0015499893,0.0038541425,0.0028294933,0.0047254832,0.0010091742,0.05021714],"study_design_scores_gemma":[0.000032946507,0.000106459294,0.9795798,0.000022073471,0.000102277554,0.0002698826,0.0006300747,0.0114333,0.0014157746,0.0051490744,0.0012221338,0.000036076468],"about_ca_topic_score_codex":0.029389355,"about_ca_topic_score_gemma":0.01898748,"teacher_disagreement_score":0.029389355,"about_ca_system_score_codex":0.0005914095,"about_ca_system_score_gemma":0.00038780927,"threshold_uncertainty_score":0.058436573},"labels":[],"label_agreement":null},{"id":"W3124695472","doi":"","title":"Managerial Skill and Closed-End Fund Discounts","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Closed-end fund; Volatility (finance); Index fund; Index (typography); Economics; Business; Open-end fund; Monetary economics; Financial economics; Finance; Institutional investor; Market liquidity","score_opus":0.0115799362234301,"score_gpt":0.21028089786555149,"score_spread":0.1987009616421214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124695472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847476,0.0017353734,0.0008296348,0.0006209178,0.000020014983,0.000014636432,0.00019697455,0.000013632641,0.011821258],"genre_scores_gemma":[0.9988955,0.00020587428,0.0000584975,0.000027325603,0.000025510835,0.0000012941972,0.00006266506,0.0000018733789,0.00072135637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993331,0.0001014056,0.000071156406,0.000101818616,0.00026254094,0.0001299874],"domain_scores_gemma":[0.9474542,0.027240364,0.019781532,0.0012796741,0.0018635318,0.0023806219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016754575,0.0001645773,0.0003618485,0.0013470114,0.00029362077,0.0019862773,0.0003146035,0.0006131483,0.006775117],"category_scores_gemma":[0.03401406,0.000114153954,0.00022115961,0.000881392,0.0008010917,0.002062189,0.00076755014,0.0010128649,0.000453779],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020231889,0.00039274042,0.821534,0.00036216778,0.00020247897,0.001488949,0.0028697725,0.0066473144,0.0018351617,0.03606559,0.0034886994,0.12308989],"study_design_scores_gemma":[0.000075570715,0.0003224467,0.95974886,0.00012289849,0.00007280121,0.0006828616,0.0011652815,0.0045656394,0.0008193011,0.027003827,0.005375094,0.00004542499],"about_ca_topic_score_codex":0.0038254634,"about_ca_topic_score_gemma":0.0040313387,"teacher_disagreement_score":0.006775117,"about_ca_system_score_codex":0.00131723,"about_ca_system_score_gemma":0.00031914518,"threshold_uncertainty_score":0.022665024},"labels":[],"label_agreement":null},{"id":"W3124697885","doi":"10.5539/ijef.v8n9p127","title":"The Bid-Ask Spread in the Danish Stock Market: Evidence from the 1990s","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Danish; Ask price; Bid–ask spread; Earnings; Adverse selection; Capital market; Stock (firearms); Business; Stock market; Information asymmetry; Market maker; Monetary economics; Economics; Order (exchange); Stock exchange; Financial economics; Finance","score_opus":0.03628950920770799,"score_gpt":0.2329382062181817,"score_spread":0.19664869701047372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124697885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916842,0.0027616972,0.00015185741,0.00013028344,0.000013829604,0.000009244105,0.0012856637,0.000004594645,0.0039585996],"genre_scores_gemma":[0.9967585,0.0014843195,0.0000731039,0.000019760346,0.000015530337,0.0000022685604,0.0011963022,0.000002030056,0.0004481624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999476,0.000042769458,0.00007755517,0.00008540495,0.00026413944,0.000054107648],"domain_scores_gemma":[0.99357706,0.0018687523,0.0031020718,0.00027435212,0.0008696147,0.00030826355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000966478,0.00018706433,0.00024537812,0.0014796301,0.00036663326,0.000985648,0.00034752287,0.0004094256,0.0012836208],"category_scores_gemma":[0.0064860196,0.0002293702,0.00026965444,0.0014081796,0.00046085578,0.00060844986,0.0007242154,0.00039980988,0.00031370437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013597154,0.00021047283,0.951214,0.00060073053,0.00027357452,0.00079556473,0.002445193,0.0020167227,0.0026034615,0.002286748,0.0025077488,0.033686075],"study_design_scores_gemma":[0.00001135397,0.00004060332,0.9962214,0.000022187547,0.00004085677,0.00011456653,0.00026753888,0.0003369252,0.00038077618,0.00012927222,0.0024244473,0.000010014961],"about_ca_topic_score_codex":0.05730519,"about_ca_topic_score_gemma":0.056431916,"teacher_disagreement_score":0.05730519,"about_ca_system_score_codex":0.0007738412,"about_ca_system_score_gemma":0.0004979064,"threshold_uncertainty_score":0.11394328},"labels":[],"label_agreement":null},{"id":"W3124702191","doi":"10.1093/rfs/hhz043","title":"Idiosyncratic Jump Risk Matters: Evidence from Equity Returns and Options","year":2019,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Simon Fraser University","funders":"","keywords":"Systematic risk; Risk premium; Equity (law); Economics; Stock (firearms); Empirical evidence; Financial economics; Actuarial science; Business; Political science; Geography","score_opus":0.08066522957236107,"score_gpt":0.3043993878937755,"score_spread":0.22373415832141447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124702191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94115144,0.037312936,0.0029767347,0.0051327054,0.000101557474,0.000018423394,0.00056340406,0.000021438302,0.012721359],"genre_scores_gemma":[0.98862386,0.009499312,0.00027239902,0.00035281692,0.00031933712,0.0000047911667,0.00025880616,0.000009005483,0.0006595811],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828845,0.0006851421,0.00017785249,0.00022173606,0.00052498217,0.0001019748],"domain_scores_gemma":[0.88720983,0.08766144,0.0163231,0.0030979346,0.0039607943,0.0017468786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058786604,0.00024519968,0.0006732043,0.0019106705,0.00034491846,0.0022240896,0.00061378477,0.0011006711,0.0063597937],"category_scores_gemma":[0.052696288,0.00021386473,0.0004668536,0.0035932523,0.0013284892,0.0021051893,0.0012123367,0.0012498939,0.0004897341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015931197,0.00039367753,0.7995411,0.0016268883,0.002047544,0.0014235183,0.0016998195,0.00313051,0.0015145515,0.022235058,0.0047196136,0.16007468],"study_design_scores_gemma":[0.00013185263,0.00030413878,0.9325559,0.00072145666,0.0009412822,0.0007345392,0.0012926799,0.0029578633,0.00076787634,0.050789434,0.008740831,0.00006220507],"about_ca_topic_score_codex":0.0016624066,"about_ca_topic_score_gemma":0.0013947032,"teacher_disagreement_score":0.0063597937,"about_ca_system_score_codex":0.00022114739,"about_ca_system_score_gemma":0.00026374025,"threshold_uncertainty_score":0.031089664},"labels":[],"label_agreement":null},{"id":"W3124718579","doi":"10.2139/ssrn.3650199","title":"Recovering Heterogeneous Beliefs and Preferences from Asset Prices","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; McGill University","funders":"","keywords":"Asset (computer security); Economics; Business; Financial economics; Actuarial science; Microeconomics; Monetary economics; Computer science; Computer security","score_opus":0.025956899698754463,"score_gpt":0.2002234532838838,"score_spread":0.17426655358512932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124718579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8485967,0.00025196638,0.1481375,0.0006079073,0.000027327367,0.000033252887,0.0006846217,0.00018182861,0.0014789316],"genre_scores_gemma":[0.9872277,0.00016187372,0.010819384,0.000040084364,0.000039880597,0.000017724067,0.0007285634,0.000019790017,0.00094501005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994715,0.00026587956,0.000024675268,0.00009353629,0.00006884186,0.00007555263],"domain_scores_gemma":[0.9868003,0.010835431,0.0007876379,0.0010564949,0.0002142941,0.0003056849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025262139,0.000719951,0.00095695734,0.0013018752,0.00026279723,0.0017012991,0.0009236997,0.0014541743,0.0030033947],"category_scores_gemma":[0.024768932,0.0007173585,0.0008276488,0.0010475882,0.00073291955,0.0025140187,0.001172239,0.002630075,0.0008086028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024933212,0.0011112924,0.112769954,0.00027141604,0.0009308118,0.0016415709,0.0009399701,0.5705556,0.0060751652,0.067955315,0.0048139915,0.2304416],"study_design_scores_gemma":[0.00008281616,0.00007363609,0.009669401,0.000012785775,0.00003829532,0.00009134101,0.000121701116,0.92068666,0.00083352305,0.06813677,0.00022872558,0.00002438811],"about_ca_topic_score_codex":0.0032196122,"about_ca_topic_score_gemma":0.0022832083,"teacher_disagreement_score":0.0032196122,"about_ca_system_score_codex":0.00047163566,"about_ca_system_score_gemma":0.00046438366,"threshold_uncertainty_score":0.0133600235},"labels":[],"label_agreement":null},{"id":"W3124757778","doi":"10.1080/1351847x.2014.917119","title":"Trade size, high-frequency trading, and colocation around the world","year":2014,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"York University; National Science Council; NYSE Euronext","keywords":"High-frequency trading; Proxy (statistics); Stock (firearms); Market microstructure; China; Industrial organization; Business; Algorithmic trading; Econometrics; Computer science; Financial economics; Economics; Finance; Order (exchange); Engineering; Geography","score_opus":0.021303146682425052,"score_gpt":0.19637931921425955,"score_spread":0.1750761725318345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124757778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99805033,0.00017861037,0.000110008965,0.00007079889,0.0000041025514,0.0000029436246,0.0002086218,0.0000047915905,0.0013699385],"genre_scores_gemma":[0.9994106,0.00007104787,0.000063235166,0.00000834185,0.000012826364,0.0000014588743,0.00022564954,0.0000019116649,0.00020479658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977976,0.00004602239,0.000023585653,0.000046750705,0.000055310782,0.000048538503],"domain_scores_gemma":[0.98888284,0.0020585363,0.0075141964,0.00040953505,0.0003875991,0.00074738846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042833458,0.00016701387,0.00018270878,0.0013773141,0.00027072788,0.0012340936,0.00024504613,0.00026216783,0.0037243953],"category_scores_gemma":[0.004273407,0.00008416883,0.00022100785,0.002175643,0.00063604355,0.0012157097,0.0006613075,0.00037293942,0.000305314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012011845,0.000041945754,0.9907436,0.0000199114,0.00009216303,0.00018151308,0.000331534,0.00077830517,0.00045013285,0.0005754123,0.00029409004,0.006371235],"study_design_scores_gemma":[0.0000044306134,0.000043128388,0.99762684,0.0000062650765,0.000018088671,0.00010622354,0.0004169063,0.0008148602,0.000163424,0.00034365704,0.000449538,0.000006549652],"about_ca_topic_score_codex":0.0035307507,"about_ca_topic_score_gemma":0.0067043905,"teacher_disagreement_score":0.0037243953,"about_ca_system_score_codex":0.0002991314,"about_ca_system_score_gemma":0.00013491581,"threshold_uncertainty_score":0.012459338},"labels":[],"label_agreement":null},{"id":"W3124760570","doi":"10.1016/j.jfineco.2011.03.008","title":"Recent trends in trading activity and market quality","year":2011,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":474,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Quality (philosophy); Business; Economics","score_opus":0.08401002315767374,"score_gpt":0.2506908755748655,"score_spread":0.16668085241719177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124760570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9496527,0.029399807,0.0009324594,0.004963948,0.00018498985,0.000017523567,0.0056125177,0.000044772285,0.009191291],"genre_scores_gemma":[0.9844014,0.009489289,0.00042854928,0.00040366856,0.0006638638,0.0000070205633,0.0031898965,0.000015301612,0.0014010904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960536,0.00005194892,0.000085788095,0.00010245727,0.00010654043,0.0000478721],"domain_scores_gemma":[0.9857647,0.0042277896,0.0061199632,0.0004654386,0.0025634,0.00085879845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014566801,0.0001987864,0.00033616877,0.0024402158,0.00018188039,0.0016736647,0.00051448686,0.0009810162,0.0043105376],"category_scores_gemma":[0.009026752,0.00017175666,0.0005103472,0.0058400575,0.0005853226,0.0019149749,0.00041022938,0.001091042,0.00079534523],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066026975,0.00012651677,0.92528826,0.00042112652,0.00038804466,0.00013029738,0.000556713,0.000564694,0.0011346888,0.0023266487,0.003132628,0.06527008],"study_design_scores_gemma":[0.000009156141,0.00008490167,0.993248,0.0000367453,0.00006689484,0.000278858,0.0002494459,0.000467786,0.00021550778,0.00035748564,0.0049749566,0.000010241706],"about_ca_topic_score_codex":0.0034815196,"about_ca_topic_score_gemma":0.006072959,"teacher_disagreement_score":0.0043105376,"about_ca_system_score_codex":0.00057502615,"about_ca_system_score_gemma":0.00020151136,"threshold_uncertainty_score":0.014420211},"labels":[],"label_agreement":null},{"id":"W3124773928","doi":"10.2139/ssrn.2341037","title":"High Frequency Trading and Price Discovery","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Price discovery; High-frequency trading; Business; Financial economics; Econometrics; Economics; Algorithmic trading; Futures contract","score_opus":0.010556723163749684,"score_gpt":0.18124065085380842,"score_spread":0.17068392769005875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124773928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8856671,0.0043454133,0.07826368,0.0049605262,0.00027778937,0.000020064088,0.00019139475,0.00023062846,0.026043465],"genre_scores_gemma":[0.9961582,0.00037565726,0.0014315717,0.000073776566,0.00016808475,0.0000044833755,0.000035699297,0.000011461788,0.0017411818],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991535,0.00032253677,0.00005472246,0.00017586263,0.00019853885,0.00009484934],"domain_scores_gemma":[0.9649061,0.028534776,0.0033954827,0.0019328472,0.000648785,0.00058212643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018629453,0.00020573633,0.00056092005,0.0013015491,0.00052472187,0.0031718006,0.0006791749,0.0017347942,0.0059254915],"category_scores_gemma":[0.028541852,0.00038889548,0.0003835129,0.0011606474,0.0014250489,0.004726119,0.0010966486,0.0013956558,0.00047232804],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011761145,0.00042897742,0.07262897,0.0002791259,0.00039736895,0.002986514,0.000738875,0.032159686,0.009137682,0.7230064,0.005857924,0.15120235],"study_design_scores_gemma":[0.000081573235,0.00009041381,0.026578214,0.000026780512,0.0000640916,0.0016301693,0.00020529111,0.14822671,0.0011515892,0.81987077,0.0020275365,0.000046806592],"about_ca_topic_score_codex":0.00050377595,"about_ca_topic_score_gemma":0.000428595,"teacher_disagreement_score":0.0059254915,"about_ca_system_score_codex":0.00044199658,"about_ca_system_score_gemma":0.0002672465,"threshold_uncertainty_score":0.019822776},"labels":[],"label_agreement":null},{"id":"W3124784442","doi":"10.5267/j.dsl.2014.5.004","title":"Sorting mutual funds with respect to process-oriented social responsibility: A FLOWSORT application","year":2014,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Vlaamse regering; HSBC Bank USA","keywords":"Sorting; Process (computing); Business; Process management; Environmental economics; Computer science; Economics; Algorithm","score_opus":0.026227114919933205,"score_gpt":0.27431619267046514,"score_spread":0.24808907775053193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124784442","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07691997,0.00009912404,0.91837883,0.00042110766,0.00003251868,0.00019419764,0.00026538607,0.0003779516,0.0033109009],"genre_scores_gemma":[0.6396217,0.00015332503,0.35595652,0.00015570658,0.000069715694,0.00029312412,0.0005046842,0.0001359735,0.003109238],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99601233,0.0018111264,0.00039308306,0.00049911987,0.000936945,0.0003473196],"domain_scores_gemma":[0.98408276,0.009789891,0.0018316184,0.0018562786,0.0017542257,0.0006851677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011535307,0.0010333699,0.0012526535,0.0048401356,0.0011586403,0.0032442298,0.0013695244,0.0014814931,0.0046770163],"category_scores_gemma":[0.042655963,0.00033722483,0.001415175,0.0027629328,0.0020243311,0.004845497,0.003023393,0.0013528037,0.00047375922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045454007,0.00023767377,0.020081377,0.00014196426,0.0001387344,0.00022163057,0.00065135193,0.17213203,0.0022915218,0.59574777,0.0021269391,0.2057744],"study_design_scores_gemma":[0.000043078933,0.00015139856,0.0018014242,0.00008060418,0.000045005938,0.00018254298,0.00019956498,0.6718515,0.0034398218,0.3181836,0.0039739823,0.000047534384],"about_ca_topic_score_codex":0.0023372476,"about_ca_topic_score_gemma":0.0013215345,"teacher_disagreement_score":0.011535307,"about_ca_system_score_codex":0.0022027462,"about_ca_system_score_gemma":0.0018542142,"threshold_uncertainty_score":0.061005235},"labels":[],"label_agreement":null},{"id":"W3124784469","doi":"10.1007/s11142-013-9227-x","title":"Dynamic risk, accounting-based valuation and firm fundamentals","year":2013,"lang":"en","type":"article","venue":"Review of Accounting Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Residual income valuation; Valuation (finance); Corporate finance; Cost of capital; Econometrics; Earnings response coefficient; Earnings; Dividend yield; Financial economics; Dividend; Accounting; Dividend policy; Microeconomics; Finance; Equity capital markets","score_opus":0.040452419193348334,"score_gpt":0.2796910817770946,"score_spread":0.2392386625837463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124784469","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3694575,0.5331884,0.037805185,0.010689101,0.0004218681,0.00003985106,0.0007459155,0.00008462763,0.04756754],"genre_scores_gemma":[0.9183809,0.077096015,0.001632673,0.00017382787,0.00060039514,0.000008192975,0.00020971004,0.000007556898,0.0018907648],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99929595,0.0002530873,0.000065796245,0.00011924652,0.00021428724,0.000051664945],"domain_scores_gemma":[0.99289507,0.004121387,0.0020396742,0.0003044445,0.0005174176,0.00012210173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018627783,0.00041026127,0.0005503464,0.0014119268,0.0002563447,0.0050727883,0.0006062851,0.0011973806,0.0015925218],"category_scores_gemma":[0.011815698,0.00022964262,0.00027264,0.0031555719,0.001456676,0.0041572247,0.0005411199,0.001235652,0.00023400817],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019934868,0.00028952194,0.09245398,0.0010222642,0.00054625946,0.0004950147,0.00042350907,0.042194713,0.002252449,0.5218291,0.008457212,0.32983655],"study_design_scores_gemma":[0.000025738844,0.00009075726,0.17037281,0.0005789763,0.0002087133,0.00077297364,0.00044036994,0.031647407,0.0005875571,0.77522427,0.019949416,0.00010099292],"about_ca_topic_score_codex":0.0018437637,"about_ca_topic_score_gemma":0.0016402807,"teacher_disagreement_score":0.0050727883,"about_ca_system_score_codex":0.0010785378,"about_ca_system_score_gemma":0.00074922974,"threshold_uncertainty_score":0.009851456},"labels":[],"label_agreement":null},{"id":"W3124791501","doi":"","title":"Risk Sharing in an Asymmetric Environment","year":2012,"lang":"en","type":"preprint","venue":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Business; Investment (military); Financial risk; Finance","score_opus":0.0366820404231605,"score_gpt":0.20874147954300415,"score_spread":0.17205943911984364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124791501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76746595,0.0005878388,0.19298477,0.0032603613,0.00009054797,0.000120018245,0.00029043932,0.000112566326,0.035087407],"genre_scores_gemma":[0.9934263,0.00019139826,0.0032127835,0.000089333385,0.000049763737,0.000031716456,0.000026880005,0.000011781188,0.0029600342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99590945,0.0019803913,0.00015101332,0.00052237575,0.00047075623,0.00096603314],"domain_scores_gemma":[0.9690748,0.01769843,0.00833534,0.002171502,0.00086894917,0.0018510359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048124967,0.0011158,0.0017916323,0.0010759409,0.0010544444,0.003948273,0.002051133,0.0032159705,0.0068998607],"category_scores_gemma":[0.021341493,0.0007001197,0.0012222346,0.000883974,0.0031213702,0.0068159453,0.003507666,0.0028601137,0.0006090269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000441465,0.00049786404,0.0053278934,0.00014561435,0.00020163483,0.001399193,0.00054683787,0.28472996,0.0026419067,0.6902453,0.001568377,0.012253868],"study_design_scores_gemma":[0.00018653592,0.00025285815,0.0021837563,0.00004426359,0.00009770041,0.00033838968,0.0003795498,0.49248403,0.0009171267,0.50152594,0.0014824171,0.00010745325],"about_ca_topic_score_codex":0.0017623503,"about_ca_topic_score_gemma":0.00082520646,"teacher_disagreement_score":0.0068998607,"about_ca_system_score_codex":0.0017461269,"about_ca_system_score_gemma":0.000799221,"threshold_uncertainty_score":0.025451183},"labels":[],"label_agreement":null},{"id":"W3124797158","doi":"10.2139/ssrn.3760640","title":"Optimal Portfolio Choice with Benchmark","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Portfolio; Benchmark (surveying); Econometrics; Computer science; Economics; Mathematical optimization; Mathematics; Financial economics; Geology","score_opus":0.016018635790885513,"score_gpt":0.1971398422483406,"score_spread":0.1811212064574551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124797158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4591144,0.0027300746,0.43609124,0.0069648745,0.0005198281,0.00024144001,0.0006553041,0.0008126525,0.09287021],"genre_scores_gemma":[0.96786714,0.00035691116,0.019797524,0.00022486418,0.00014671455,0.00008405814,0.000197125,0.000061002327,0.011264514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985177,0.0008549252,0.000054392203,0.00018921625,0.00022851302,0.00015518366],"domain_scores_gemma":[0.99585164,0.0026933749,0.0003627999,0.00032666788,0.0003471702,0.0004184215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037095905,0.0010421198,0.0016554507,0.0011394493,0.00036605698,0.0040007946,0.0010623453,0.003247008,0.0066896128],"category_scores_gemma":[0.02339294,0.0005492135,0.00046641062,0.00093571877,0.001007786,0.0040734075,0.0015430666,0.0015237689,0.0008645015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017033052,0.0003930466,0.002599044,0.00026346132,0.00017748086,0.0002747792,0.000102487305,0.5511699,0.0025473086,0.36379707,0.009009105,0.06796301],"study_design_scores_gemma":[0.000111443864,0.00018260718,0.00066814845,0.000040249397,0.000025863295,0.000048670667,0.000030815285,0.78864056,0.00068656314,0.20855662,0.0009877575,0.000020672587],"about_ca_topic_score_codex":0.0006562109,"about_ca_topic_score_gemma":0.0003414042,"teacher_disagreement_score":0.0066896128,"about_ca_system_score_codex":0.0014056439,"about_ca_system_score_gemma":0.0010527661,"threshold_uncertainty_score":0.022378981},"labels":[],"label_agreement":null},{"id":"W3124803091","doi":"10.1016/j.jfineco.2003.05.007","title":"Why constrain your mutual fund manager?","year":2004,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":558,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mutual fund; Manager of managers fund; Closed-end fund; Target date fund; Equity (law); Investment management; Open-end fund; Fund of funds; Business; Portfolio; Finance; Fund administration; Investment fund; Constraint (computer-aided design); Investment (military); Income fund; Performance fee; Economics; Institutional investor; Corporate governance","score_opus":0.04476638801352138,"score_gpt":0.22388501508252426,"score_spread":0.1791186270690029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124803091","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14166284,0.007314522,0.004322589,0.7518103,0.002284593,0.00004134126,0.0001402255,0.0002351358,0.09218841],"genre_scores_gemma":[0.9027073,0.0021964167,0.001372381,0.073296405,0.0015135568,0.00004772263,0.000062422216,0.00010208945,0.018701771],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99609,0.0019846444,0.00015144932,0.0002788902,0.0007520075,0.00074302306],"domain_scores_gemma":[0.9686887,0.00993608,0.005771288,0.0008922301,0.004970732,0.009740968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055621075,0.00020382012,0.0003300042,0.00061351777,0.002353253,0.006595565,0.000800601,0.0048041344,0.012357812],"category_scores_gemma":[0.07557583,0.00024249165,0.00017735356,0.00047951838,0.0032291093,0.0055691935,0.0016363676,0.004013502,0.0037939134],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030732196,0.00029346198,0.069229335,0.0002740619,0.00015378691,0.0011882735,0.010722818,0.00061319605,0.0011666307,0.09520264,0.64132583,0.17952259],"study_design_scores_gemma":[0.00011262534,0.00019635019,0.065157294,0.0010122256,0.00011879906,0.0030210856,0.038267877,0.0021578304,0.0014207984,0.21539323,0.6728774,0.00026449107],"about_ca_topic_score_codex":0.0047195205,"about_ca_topic_score_gemma":0.008800891,"teacher_disagreement_score":0.012357812,"about_ca_system_score_codex":0.0024396682,"about_ca_system_score_gemma":0.0035155904,"threshold_uncertainty_score":0.041340947},"labels":[],"label_agreement":null},{"id":"W3124821318","doi":"","title":"Institutional Investor Stability and Crash Risk: Monitoring versus Short-Termism?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Endogeneity; Institutional investor; Pension; Crash; Business; Stock (firearms); Stock price; Monetary economics; Corporate governance; Investment (military); Economics; Finance; Financial system; Actuarial science; Econometrics","score_opus":0.0682352753255447,"score_gpt":0.22805106477682555,"score_spread":0.15981578945128083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124821318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99530375,0.00072311884,0.0013684804,0.0006344104,0.000011137302,0.0000067324827,0.00006207269,0.0000051997067,0.0018851075],"genre_scores_gemma":[0.99964154,0.00009905273,0.000082451974,0.00003015325,0.000029485778,0.0000019181007,0.000028139524,5.0680177e-7,0.000086702545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992648,0.00027485844,0.00008028428,0.00014631449,0.00013107469,0.00010273629],"domain_scores_gemma":[0.9513332,0.015296716,0.028237496,0.0018725535,0.0013248515,0.0019352064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028115446,0.0001699053,0.00028743388,0.00057977886,0.00022074184,0.0010793143,0.00044638346,0.0006268519,0.0018191611],"category_scores_gemma":[0.014411945,0.0000986224,0.00027599314,0.00056192925,0.00064527616,0.0016278279,0.00092529715,0.0006343546,0.00015381504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004423981,0.000091292175,0.98035496,0.000040964584,0.00021615629,0.00008720254,0.0003234361,0.00041443805,0.00048209858,0.0022319944,0.00016457467,0.015150525],"study_design_scores_gemma":[0.000024932835,0.00032870486,0.9899885,0.000041038278,0.00016923908,0.00022834152,0.0006726219,0.0026181107,0.0007581269,0.004542564,0.00061160413,0.000016378992],"about_ca_topic_score_codex":0.0008141358,"about_ca_topic_score_gemma":0.0010051042,"teacher_disagreement_score":0.0028115446,"about_ca_system_score_codex":0.00025297276,"about_ca_system_score_gemma":0.0002418788,"threshold_uncertainty_score":0.014869094},"labels":[],"label_agreement":null},{"id":"W3124830724","doi":"10.2139/ssrn.345461","title":"A Bayesian Analysis of a Variance Decomposition for Stock Returns","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Econometrics; Variance decomposition of forecast errors; Bayesian probability; Stock (firearms); Economics; Mathematics; Decomposition; Statistics; Financial economics; Engineering; Chemistry","score_opus":0.020519490834511815,"score_gpt":0.23212658362329164,"score_spread":0.21160709278877982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124830724","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019042885,0.00035214238,0.97924083,0.00027239576,0.000036428184,0.0000234567,0.00010447291,0.00017440278,0.00075301307],"genre_scores_gemma":[0.44252697,0.0016301628,0.545638,0.00030977785,0.000540418,0.00019615624,0.0011702077,0.0005635667,0.007424781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806935,0.0009936542,0.00010723988,0.00026199946,0.00041002437,0.00015786604],"domain_scores_gemma":[0.98915684,0.008393362,0.0006048041,0.00063192955,0.001009036,0.00020405132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006614569,0.00095991016,0.001268513,0.0019335708,0.00060551934,0.0022507098,0.0013070051,0.0014288287,0.003623596],"category_scores_gemma":[0.025551047,0.0012310281,0.0020711352,0.0014502178,0.0010341923,0.0027945107,0.0014450282,0.0020648383,0.0006841753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038157013,0.00023275331,0.005050755,0.00030053587,0.0005544551,0.00022185227,0.00036540194,0.41183025,0.009755193,0.35426697,0.0063888817,0.21065144],"study_design_scores_gemma":[0.000026427439,0.000024138279,0.0013350239,0.000027154958,0.00005094056,0.000041833246,0.000014996078,0.9154624,0.0005106279,0.08155517,0.00091473444,0.00003662874],"about_ca_topic_score_codex":0.0061982423,"about_ca_topic_score_gemma":0.0064477143,"teacher_disagreement_score":0.006614569,"about_ca_system_score_codex":0.00097509485,"about_ca_system_score_gemma":0.0018032892,"threshold_uncertainty_score":0.03498161},"labels":[],"label_agreement":null},{"id":"W3124837273","doi":"10.2308/accr-52445","title":"Firm Risk and Disclosures about Dispersion of Asset Values: Evidence from Oil and Gas Reserves","year":2019,"lang":"en","type":"article","venue":"The Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Opportunism; Dispersion (optics); Business; Equity (law); Systematic risk; Volatility (finance); Monetary economics; Asset (computer security); Sample (material); Economics; Financial economics; Finance","score_opus":0.03167171935712177,"score_gpt":0.24613603442970744,"score_spread":0.21446431507258568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124837273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986284,0.007142055,0.00025296805,0.0009694898,0.000012555896,0.00001643637,0.00064285693,0.0000050756153,0.004674492],"genre_scores_gemma":[0.9964348,0.002737309,0.000092678834,0.00006639186,0.000031759428,0.0000032533624,0.00029182958,9.052786e-7,0.00034114235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99592125,0.0013278073,0.00042911162,0.00023581285,0.0018347487,0.00025132857],"domain_scores_gemma":[0.8384915,0.046999726,0.100062706,0.0034653475,0.009576612,0.0014040922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005838203,0.00012728943,0.0003164369,0.0020147082,0.00029877343,0.0015409419,0.00043722292,0.0005904419,0.0009733444],"category_scores_gemma":[0.058081616,0.00015005258,0.00019397626,0.003645268,0.0005073253,0.00077935087,0.0005304549,0.0005200129,0.00012799012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027141167,0.00007044749,0.9731541,0.00023414404,0.0002857191,0.0002309307,0.0010039125,0.0006407139,0.00035210612,0.001124095,0.0009837284,0.021648575],"study_design_scores_gemma":[0.000010105192,0.00006511079,0.9951342,0.00016706318,0.00010173348,0.000120556564,0.0007837665,0.0004250892,0.0002699542,0.00036006924,0.002547776,0.000014572113],"about_ca_topic_score_codex":0.061981596,"about_ca_topic_score_gemma":0.08313502,"teacher_disagreement_score":0.061981596,"about_ca_system_score_codex":0.00085983984,"about_ca_system_score_gemma":0.0013979032,"threshold_uncertainty_score":0.1232416},"labels":[],"label_agreement":null},{"id":"W3124846632","doi":"10.1506/c6wa-y05n-0038-cxtb","title":"The Persistence of the Accruals Anomaly*","year":2006,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":173,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accrual; Profitability index; Anomaly (physics); Inefficiency; Arbitrage; Business; Economics; Monetary economics; Accounting; Financial economics; Earnings; Finance; Microeconomics","score_opus":0.11134842928908155,"score_gpt":0.28060712478382815,"score_spread":0.1692586954947466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124846632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98863554,0.0005202556,0.0024679776,0.0013042546,0.000041363415,0.000005396558,0.00018476852,0.00012691133,0.006713443],"genre_scores_gemma":[0.9993074,0.00004482624,0.00018587049,0.000036930738,0.000030230947,8.7009215e-7,0.000050519513,0.0000055985715,0.00033776122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994412,0.000084557185,0.00006230238,0.000103050406,0.00023548442,0.000073440395],"domain_scores_gemma":[0.9848823,0.0033758827,0.0076118023,0.0016019722,0.0018181968,0.00070986786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010742438,0.00010816708,0.0002631708,0.00080785295,0.00036316953,0.0016043122,0.00037776394,0.0005320999,0.0021049688],"category_scores_gemma":[0.012479576,0.00008951197,0.00011282664,0.00095141225,0.0009940506,0.0011169704,0.00072054134,0.00091783184,0.0005233635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089165044,0.0002869199,0.76156694,0.00011321823,0.00008776688,0.001797907,0.00092682056,0.0023539043,0.018912809,0.034206867,0.005981664,0.17287345],"study_design_scores_gemma":[0.000038200586,0.00045711178,0.8723222,0.00006157896,0.000068375375,0.006111916,0.0010315841,0.014270319,0.018422801,0.06922545,0.017920528,0.00006997709],"about_ca_topic_score_codex":0.00077363366,"about_ca_topic_score_gemma":0.00040097616,"teacher_disagreement_score":0.0021049688,"about_ca_system_score_codex":0.00042616072,"about_ca_system_score_gemma":0.00036419285,"threshold_uncertainty_score":0.007041812},"labels":[],"label_agreement":null},{"id":"W3124849529","doi":"","title":"Skewness Risk and Bond Prices","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Skewness; Economics; Bond; Econometrics; Risk premium; Inflation (cosmology); Consumption (sociology); Maturity (psychological); Financial economics; Finance","score_opus":0.04534718826909822,"score_gpt":0.2784516891650705,"score_spread":0.2331045008959723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124849529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89892757,0.007906455,0.05336249,0.0034056206,0.00016350269,0.000030296282,0.00038413095,0.00015597354,0.035663933],"genre_scores_gemma":[0.99637175,0.0010534622,0.00063463434,0.00003864496,0.000054380744,0.000004458206,0.00006311382,0.000008979436,0.001770574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996834,0.00013664948,0.00002251123,0.000040770035,0.00007221787,0.000044468685],"domain_scores_gemma":[0.9960865,0.0018673253,0.0012807803,0.00026745215,0.0002589137,0.00023909366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013762298,0.00021216211,0.00031851445,0.0005427842,0.0002915999,0.0017927173,0.00024807535,0.0005851393,0.004558688],"category_scores_gemma":[0.012464031,0.00019272705,0.0002462561,0.0006231792,0.00096490013,0.0015538024,0.00074830034,0.0008571175,0.0004666623],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055449887,0.00008660187,0.049582068,0.0001371338,0.00013196244,0.0009369616,0.00051621307,0.08827575,0.0036729914,0.7844905,0.006450439,0.065164916],"study_design_scores_gemma":[0.00004025853,0.000066232686,0.01757018,0.000046609763,0.000024365016,0.0006295493,0.00023396674,0.11730251,0.00087571057,0.8589036,0.004264418,0.00004256002],"about_ca_topic_score_codex":0.0006361903,"about_ca_topic_score_gemma":0.00041384815,"teacher_disagreement_score":0.004558688,"about_ca_system_score_codex":0.00062038004,"about_ca_system_score_gemma":0.0003219598,"threshold_uncertainty_score":0.015250325},"labels":[],"label_agreement":null},{"id":"W3124853070","doi":"","title":"A Semiparametric Approach to Value-at-Risk, Expected Shortfall and Optimum Asset Allocation in Stock-Bond Portfolios","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Financial crisis; Expected shortfall; Copula (linguistics); Bond; Value at risk; Economics; Stock (firearms); Asset allocation; Portfolio; Basel III; Tail dependence; Systemic risk; Financial economics; Econometrics; Monetary economics; Capital requirement; Finance; Risk management; Macroeconomics; Geography; Statistics","score_opus":0.04595478688171644,"score_gpt":0.27814326109884696,"score_spread":0.2321884742171305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124853070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030381652,0.00054908363,0.9663671,0.000345024,0.000021100097,0.000030716805,0.000099120734,0.00006497869,0.0021412824],"genre_scores_gemma":[0.88771206,0.001330888,0.10569975,0.000112660586,0.00013101127,0.00017248357,0.00026750113,0.00011416635,0.0044594943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99869835,0.0008850891,0.000049668724,0.00013875049,0.000137915,0.00009030138],"domain_scores_gemma":[0.9941881,0.004684912,0.00050248177,0.00018492712,0.00027653357,0.00016313646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031716106,0.00074033765,0.0013425703,0.0009986864,0.00027383992,0.0017117572,0.0009446826,0.0009933416,0.0023974343],"category_scores_gemma":[0.014739074,0.00091683195,0.0012506412,0.000690841,0.0011258675,0.002078183,0.0014813648,0.001341321,0.0002415656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052917952,0.000061177605,0.00228966,0.0001433674,0.00014585358,0.00012756504,0.00015053315,0.84581536,0.0009932782,0.12746616,0.00085752073,0.02189665],"study_design_scores_gemma":[0.000009496572,0.000035426838,0.00077064865,0.000020575211,0.00001891887,0.00003949651,0.000028759352,0.91190106,0.00019353128,0.086441636,0.000524496,0.00001596024],"about_ca_topic_score_codex":0.0018160699,"about_ca_topic_score_gemma":0.0018462621,"teacher_disagreement_score":0.0031716106,"about_ca_system_score_codex":0.0009364835,"about_ca_system_score_gemma":0.0010206049,"threshold_uncertainty_score":0.016773283},"labels":[],"label_agreement":null},{"id":"W3124853544","doi":"","title":"Price clustering in the CAC 40 index options market","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Volatility clustering; Cluster analysis; Economics; Volatility (finance); Index (typography); Econometrics; Market liquidity; Financial economics; Basis point; Monetary economics; Interest rate; Autoregressive conditional heteroskedasticity; Mathematics; Computer science; Statistics","score_opus":0.05692722118160111,"score_gpt":0.29799927761937783,"score_spread":0.24107205643777674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124853544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978981,0.0000814497,0.0001301858,0.0000609437,0.0000020473485,0.0000062837225,0.0003996368,0.000008989238,0.0014124246],"genre_scores_gemma":[0.99829024,0.00006385121,0.00019289598,0.000012899596,0.000009711512,0.000006151351,0.0009105394,0.0000045521756,0.00050915824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994948,0.00007191411,0.000036679274,0.000091208334,0.00020542201,0.000099973775],"domain_scores_gemma":[0.99510324,0.0011448887,0.0025156452,0.00030269424,0.0006467134,0.0002867683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000612294,0.0001117186,0.0002261431,0.0029247345,0.0003488235,0.0008982919,0.00037888667,0.00035385718,0.0023503164],"category_scores_gemma":[0.0037970846,0.00011266376,0.00018761217,0.003688899,0.00040741774,0.0007027002,0.00055355683,0.0004143177,0.0003424207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049497664,0.00015703411,0.936148,0.00007192742,0.00012028953,0.0010075744,0.003619695,0.004322182,0.0058453353,0.004618574,0.0040535806,0.039540883],"study_design_scores_gemma":[0.000003868753,0.00003642642,0.9929086,0.000011526801,0.0000108587265,0.00021038362,0.0007105459,0.0038870543,0.0005251614,0.00045076257,0.001228842,0.000016041595],"about_ca_topic_score_codex":0.009578619,"about_ca_topic_score_gemma":0.011218311,"teacher_disagreement_score":0.009578619,"about_ca_system_score_codex":0.0006376502,"about_ca_system_score_gemma":0.00027827098,"threshold_uncertainty_score":0.01904571},"labels":[],"label_agreement":null},{"id":"W3124857812","doi":"10.3386/w21182","title":"The Price of Variance Risk","year":2015,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Variance (accounting); Econometrics; Economics; Statistics; Mathematics; Accounting","score_opus":0.3199592191458468,"score_gpt":0.4310609412370817,"score_spread":0.11110172209123492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124857812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7991969,0.0087914625,0.041292705,0.020538326,0.0007909015,0.000028324082,0.0013199914,0.0002610418,0.1277803],"genre_scores_gemma":[0.99479324,0.00056603324,0.00063375186,0.00014539507,0.00016388559,0.000004403954,0.00014588037,0.000021056585,0.003526323],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992706,0.00015219118,0.00003762067,0.00013691637,0.0003096087,0.000093094735],"domain_scores_gemma":[0.99717486,0.0013668167,0.0006596421,0.0002452929,0.000389461,0.00016396098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012323158,0.00019076097,0.0003841247,0.0004884192,0.00044679403,0.003839477,0.00035176374,0.0012878322,0.004712998],"category_scores_gemma":[0.013654042,0.00021523346,0.00028518765,0.0006965406,0.0009282748,0.002585285,0.00079473306,0.002103362,0.0004518293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036578346,0.000045869703,0.023574676,0.00010222228,0.00012456636,0.00067018013,0.00070905354,0.009385429,0.0026009022,0.881155,0.010840685,0.07042555],"study_design_scores_gemma":[0.000073316856,0.00018814472,0.047881763,0.00013507891,0.000078479774,0.000981944,0.0007086531,0.04050525,0.0032871075,0.8570303,0.049011976,0.00011795285],"about_ca_topic_score_codex":0.0016198724,"about_ca_topic_score_gemma":0.0010913091,"teacher_disagreement_score":0.004712998,"about_ca_system_score_codex":0.0012731447,"about_ca_system_score_gemma":0.00038051358,"threshold_uncertainty_score":0.015766561},"labels":[],"label_agreement":null},{"id":"W3124869677","doi":"10.1093/rof/rfv061","title":"Intraday Share Price Volatility and Leveraged ETF Rebalancing","year":2015,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Volatility (finance); Monetary economics; Business; Volatility swap; Financial economics; Economics; Implied volatility; Finance","score_opus":0.0753519839064448,"score_gpt":0.232637448377731,"score_spread":0.15728546447128622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124869677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93409777,0.04735413,0.0019332104,0.0016038927,0.000078165656,0.0000070811234,0.00024457875,0.00001745636,0.014663703],"genre_scores_gemma":[0.99021333,0.008534038,0.0001396246,0.00004772074,0.00012907684,0.0000017414169,0.00013006215,0.0000028605339,0.00080159394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997762,0.000053543707,0.00001704062,0.00003696248,0.00007728256,0.000038996397],"domain_scores_gemma":[0.9973947,0.00088063546,0.0013073446,0.00006658733,0.00024566022,0.00010514912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007222508,0.00016858811,0.000239191,0.0007450258,0.00010989532,0.0012925307,0.00018580329,0.00037701902,0.0013334289],"category_scores_gemma":[0.004691672,0.000068085064,0.00018698142,0.0012455413,0.00024784345,0.0007972574,0.00035059816,0.00046188422,0.00017699895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006292166,0.00014953516,0.71428734,0.00046034422,0.00067066494,0.0013750931,0.00067526073,0.012299676,0.0043543326,0.049874775,0.0077415155,0.20748216],"study_design_scores_gemma":[0.000014638615,0.00015336726,0.9581421,0.00018366707,0.0001455768,0.00080997346,0.0004325885,0.008446474,0.0009865774,0.015905637,0.014750691,0.000028774344],"about_ca_topic_score_codex":0.0013950645,"about_ca_topic_score_gemma":0.0013748124,"teacher_disagreement_score":0.0013950645,"about_ca_system_score_codex":0.00031238463,"about_ca_system_score_gemma":0.0002306527,"threshold_uncertainty_score":0.0044606924},"labels":[],"label_agreement":null},{"id":"W3124875164","doi":"10.2139/ssrn.1568018","title":"The Role of Signal Precision and Transaction Costs in Stock, Option and Volatility Trading","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Volatility (finance); Transaction cost; Business; Financial economics; Stock (firearms); Database transaction; Economics; Econometrics; Computer science; Finance; Database; Engineering","score_opus":0.008079105832102824,"score_gpt":0.19897666022181285,"score_spread":0.19089755438971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124875164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96112484,0.0024133944,0.02642611,0.0013795089,0.00007354721,0.000026755983,0.00015360251,0.00008968352,0.008312595],"genre_scores_gemma":[0.99738806,0.0002677189,0.001218617,0.00002885458,0.000064075444,0.0000036823074,0.000030998217,0.000019089037,0.0009788353],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99811053,0.0005484045,0.00023106368,0.00030790616,0.00055005023,0.00025203414],"domain_scores_gemma":[0.83083576,0.14070846,0.017057085,0.0063270205,0.003110035,0.001961669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005034224,0.00046093794,0.00092455605,0.0014661282,0.00059945445,0.0076838434,0.0010829227,0.0021832678,0.005880132],"category_scores_gemma":[0.08988892,0.0008902933,0.000565127,0.0012332229,0.0019695172,0.009243142,0.0013721667,0.0022008973,0.0004140798],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051172883,0.0009363809,0.21472244,0.0006616181,0.0007590206,0.0027898494,0.0014460495,0.23663919,0.017036505,0.36575556,0.002195989,0.15194012],"study_design_scores_gemma":[0.00033575005,0.0007590383,0.19018394,0.00012089468,0.00062327203,0.0018563987,0.00074068346,0.41315755,0.004121475,0.38633895,0.001407785,0.0003542293],"about_ca_topic_score_codex":0.0018460504,"about_ca_topic_score_gemma":0.0014080952,"teacher_disagreement_score":0.0076838434,"about_ca_system_score_codex":0.0010574089,"about_ca_system_score_gemma":0.00087829644,"threshold_uncertainty_score":0.026623845},"labels":[],"label_agreement":null},{"id":"W3124881866","doi":"","title":"An Explanation of Momentum in Canadian Stocks","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Momentum (technical analysis); Argument (complex analysis); Economics; Financial economics; Contrast (vision); Econometrics; Monetary economics; Physics","score_opus":0.011363074695018963,"score_gpt":0.2101766091772902,"score_spread":0.19881353448227124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124881866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93359303,0.0032722272,0.0010772609,0.008836017,0.00009366508,0.00004992618,0.0012960633,0.000087130786,0.051694598],"genre_scores_gemma":[0.99660933,0.00059965753,0.00017815836,0.0001652443,0.000043435113,0.000002408017,0.00022724624,0.0000065772497,0.0021679658],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960786,0.000017099426,0.0000126118985,0.000040315375,0.00018318636,0.00013892811],"domain_scores_gemma":[0.99709153,0.00057337485,0.0009439645,0.00013218576,0.00089691335,0.00036195782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006467325,0.00031080274,0.00036638867,0.0026052438,0.001930428,0.0029049502,0.00066019164,0.00088615314,0.00876652],"category_scores_gemma":[0.006829018,0.00023238419,0.0005727204,0.003160644,0.0010831924,0.0013611835,0.0008951246,0.0007155208,0.00036562452],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003268823,0.00006843512,0.8770116,0.00012476715,0.00011205172,0.0019969693,0.0028606534,0.0038342266,0.0019330931,0.049776778,0.009888294,0.05206637],"study_design_scores_gemma":[0.00006050056,0.000047481542,0.9571836,0.00008819686,0.000112705704,0.0003691142,0.0021765416,0.008023177,0.00056939694,0.015362336,0.015935602,0.00007128259],"about_ca_topic_score_codex":0.84539306,"about_ca_topic_score_gemma":0.7822636,"teacher_disagreement_score":0.15460694,"about_ca_system_score_codex":0.008831229,"about_ca_system_score_gemma":0.008420371,"threshold_uncertainty_score":0.31103486},"labels":[],"label_agreement":null},{"id":"W3124889754","doi":"10.34989/swp-2016-35","title":"Time-Varying Crash Risk: The Role of Stock Market Liquidity","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; University of Toronto","funders":"","keywords":"Crash; Market liquidity; Stock market crash; Econometrics; Stock market; Economics; Market risk; Index (typography); Variance risk premium; Financial economics; Equity (law); Volatility (finance); Stock market index; Stochastic volatility; Monetary economics; Volatility risk premium; Computer science","score_opus":0.03218794308897393,"score_gpt":0.26399785323121044,"score_spread":0.2318099101422365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124889754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786537,0.0008425839,0.017608987,0.001086158,0.00004098939,0.000019108176,0.00034169134,0.00006534918,0.0013413712],"genre_scores_gemma":[0.9981773,0.00023332678,0.0006547607,0.000031821157,0.00003492215,0.000007346733,0.0001833049,0.0000076453625,0.0006697189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996611,0.00011445309,0.000020303456,0.000077162396,0.00003724461,0.00008970367],"domain_scores_gemma":[0.99346536,0.0043347757,0.0012424267,0.00024148353,0.0002976017,0.00041829218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014710894,0.0007301272,0.00093894004,0.0010108973,0.00041940634,0.0023353237,0.0014352957,0.0018287941,0.003190229],"category_scores_gemma":[0.010059019,0.00032174712,0.0010616345,0.0009385349,0.0008205453,0.0017309107,0.0012100259,0.0018928762,0.00028304476],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004950617,0.00043105145,0.19747916,0.00013312719,0.00050377747,0.0012163039,0.00021210095,0.7609227,0.002152778,0.024041504,0.0022327867,0.010179682],"study_design_scores_gemma":[0.00004311518,0.00014737244,0.011574298,0.00001505273,0.00010718353,0.00008346084,0.00010038136,0.98157,0.00032279632,0.005784768,0.00021936787,0.000032257707],"about_ca_topic_score_codex":0.017824063,"about_ca_topic_score_gemma":0.010199259,"teacher_disagreement_score":0.017824063,"about_ca_system_score_codex":0.0005872046,"about_ca_system_score_gemma":0.00066562457,"threshold_uncertainty_score":0.035440624},"labels":[],"label_agreement":null},{"id":"W3124890260","doi":"10.26481/umagsb.2013038","title":"Oh what a beautiful morning! The time of day effect on the tone and market impact of conference calls","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Tone (literature); Stock (firearms); Equity (law); Names of the days of the week; Quarter (Canadian coin); Morning; Negativity effect; Monetary economics; Business; Demographic economics; Psychology; Economics; Advertising; Accounting; Social psychology; Medicine; Political science; History; Linguistics","score_opus":0.034534577130030546,"score_gpt":0.2891898976855536,"score_spread":0.25465532055552303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124890260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906658,0.00022016554,0.0006456798,0.00043717137,0.00010885523,0.000046964058,0.00045375206,0.0000776014,0.00734391],"genre_scores_gemma":[0.9957247,0.00012414395,0.0007301103,0.000253979,0.00011364689,0.00009919097,0.00033482586,0.000117957774,0.0025014828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99497956,0.0029739817,0.00020879752,0.0005620521,0.0008496006,0.0004260757],"domain_scores_gemma":[0.8218078,0.15267985,0.01172489,0.0037129482,0.0044248616,0.005649621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047898907,0.00037359132,0.00047255904,0.00057986064,0.0008940294,0.0030719363,0.00066154834,0.0007608446,0.009782555],"category_scores_gemma":[0.076644294,0.00030078922,0.00043218592,0.0005344748,0.00081438804,0.0011651969,0.0017496081,0.0017560618,0.0012366875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020157637,0.002303636,0.6795559,0.0014345205,0.0009970692,0.0013400735,0.07292778,0.0032164997,0.064193204,0.0021988943,0.010357765,0.14131701],"study_design_scores_gemma":[0.000069587644,0.0011873773,0.9798331,0.00008427248,0.00024844363,0.00008435361,0.009336182,0.0015829998,0.0026241664,0.0005506388,0.0043314444,0.00006740005],"about_ca_topic_score_codex":0.0038749143,"about_ca_topic_score_gemma":0.004801258,"teacher_disagreement_score":0.009782555,"about_ca_system_score_codex":0.0006864098,"about_ca_system_score_gemma":0.00057862594,"threshold_uncertainty_score":0.03272587},"labels":[],"label_agreement":null},{"id":"W3124900044","doi":"","title":"The Role of Debt Covenants in the Investment Grade Bond Market - The REIT Experiment","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Real estate investment trust; Debt; Bond; Business; Bond market; Financial system; Monetary economics; Covenant; Investment (military); Economics; Finance; Financial economics; Real estate","score_opus":0.012577862422413828,"score_gpt":0.20913657426930005,"score_spread":0.19655871184688622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124900044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96614665,0.00063233124,0.002434013,0.0029290358,0.0001865773,0.000092072165,0.0003870605,0.00013044872,0.02706183],"genre_scores_gemma":[0.9915434,0.000169962,0.00035543338,0.0004982311,0.00017973047,0.00003844515,0.00016337373,0.000039878847,0.007011482],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9968823,0.0017979972,0.00014133948,0.0004492805,0.0002936775,0.0004354576],"domain_scores_gemma":[0.94697535,0.035200737,0.009210966,0.004740343,0.0009339066,0.002938571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012519329,0.0012494411,0.0027891384,0.00066978025,0.0022590281,0.0082876235,0.0020805448,0.005907007,0.017479142],"category_scores_gemma":[0.03469432,0.000651438,0.0009143719,0.0006467298,0.004614338,0.010586269,0.0022822418,0.0097640585,0.0022246747],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.11089897,0.030078439,0.066537514,0.0015187609,0.0019203828,0.003516992,0.0046191383,0.034592234,0.028429002,0.64089185,0.02704583,0.049950846],"study_design_scores_gemma":[0.02759463,0.015999839,0.08254811,0.00019964048,0.0030513764,0.000815156,0.006062114,0.18104386,0.015189415,0.6459744,0.020725012,0.0007963663],"about_ca_topic_score_codex":0.00545702,"about_ca_topic_score_gemma":0.004502571,"teacher_disagreement_score":0.017479142,"about_ca_system_score_codex":0.0010458814,"about_ca_system_score_gemma":0.0011202716,"threshold_uncertainty_score":0.066209316},"labels":[],"label_agreement":null},{"id":"W3124910353","doi":"","title":"Evaluating Alternative Weighting Schemes For Stocks In A \"best Ideas\" Portfolio","year":2010,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Weighting; Business; Closed-end fund; Mutual fund; Institutional investor; Index fund; Project portfolio management; Fund of funds; Finance; Actuarial science; Economics; Financial economics; Corporate governance; Open-end fund; Management","score_opus":0.057290455682282825,"score_gpt":0.27539053437893557,"score_spread":0.21810007869665274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124910353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91406953,0.00043024487,0.08287173,0.00021372444,0.0000375483,0.00030903405,0.00007473348,0.0000720773,0.0019213721],"genre_scores_gemma":[0.9426259,0.00012300453,0.056527633,0.00003800903,0.000014963884,0.00013363559,0.000090098874,0.000011338308,0.0004354224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995027,0.0033287867,0.00036977947,0.00034942938,0.00071343675,0.00021155937],"domain_scores_gemma":[0.9427763,0.047948826,0.00370041,0.0023421475,0.0024391005,0.0007931997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01875888,0.0010207302,0.00065375166,0.0022832984,0.00041485063,0.0020047207,0.0011005123,0.0016797443,0.0012320441],"category_scores_gemma":[0.07941791,0.00035322705,0.0006002168,0.0017999087,0.000993589,0.003012305,0.0012527849,0.0008033246,0.00015643516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053417296,0.001532492,0.06916739,0.00045289987,0.00097133656,0.00018158113,0.0006591225,0.5250135,0.0063500553,0.04979962,0.0014707377,0.33905944],"study_design_scores_gemma":[0.0006017002,0.0016263485,0.010490566,0.00008279206,0.00024077223,0.00007451176,0.00025569234,0.9644812,0.003063989,0.018194612,0.00082061294,0.00006711462],"about_ca_topic_score_codex":0.0023162828,"about_ca_topic_score_gemma":0.0025016551,"teacher_disagreement_score":0.01875888,"about_ca_system_score_codex":0.0018004255,"about_ca_system_score_gemma":0.0007822549,"threshold_uncertainty_score":0.09920764},"labels":[],"label_agreement":null},{"id":"W3124912282","doi":"","title":"Portfolio Concentration and Performance of Institutional Investors Worldwide","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Institutional investor; Portfolio; Business; Capital asset pricing model; Monetary economics; Asset (computer security); Financial economics; Foreign portfolio investment; Emerging markets; Economics; Finance; Return on investment; Microeconomics; Open-ended investment company; Corporate governance","score_opus":0.022744520762640125,"score_gpt":0.20518537809428386,"score_spread":0.18244085733164372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124912282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984617,0.00019383889,0.00017259108,0.000034943194,0.0000014854986,0.0000040765303,0.0003603124,0.0000060545863,0.0007651503],"genre_scores_gemma":[0.9992035,0.00006896754,0.000070298105,0.0000046356413,0.0000071483732,0.0000025649417,0.00051811174,0.0000016247974,0.00012313217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945146,0.00012170242,0.00008083566,0.00011681448,0.00010693667,0.00012230652],"domain_scores_gemma":[0.98433506,0.0029670119,0.010605749,0.00061828457,0.0005719697,0.0009019263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015756282,0.00042685133,0.00048415127,0.0033212628,0.00022972959,0.0013004693,0.00034683506,0.00052609306,0.0027971803],"category_scores_gemma":[0.00887053,0.0001819246,0.00030936662,0.0031126074,0.00043201965,0.0014561428,0.00126026,0.00040805657,0.00051781756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102811806,0.000040194198,0.99181515,0.000011971418,0.00024034713,0.00010090722,0.00008859577,0.0015621753,0.0004343135,0.00038963184,0.00019380459,0.0050200704],"study_design_scores_gemma":[0.000022371754,0.00019419713,0.99218,0.000021513575,0.000091597954,0.00042038428,0.00027498277,0.0044352086,0.0008800941,0.00094460626,0.00051446765,0.00002051325],"about_ca_topic_score_codex":0.0013857082,"about_ca_topic_score_gemma":0.0015177383,"teacher_disagreement_score":0.0033212628,"about_ca_system_score_codex":0.00034465388,"about_ca_system_score_gemma":0.0001144991,"threshold_uncertainty_score":0.009357512},"labels":[],"label_agreement":null},{"id":"W3124947999","doi":"","title":"Portfolio Selection with Parameter and Model Uncertainty: A Multi-Prior Approach","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Prior probability; Portfolio; Econometrics; Bayesian probability; Portfolio optimization; Bayesian inference; Variance (accounting); Mathematics; Economics; Computer science; Statistics; Finance","score_opus":0.05791521402226767,"score_gpt":0.28021956599197023,"score_spread":0.22230435196970255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124947999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065734074,0.0003780924,0.98958254,0.0008351222,0.00002577163,0.000018819157,0.000035691035,0.000055604636,0.0024949696],"genre_scores_gemma":[0.6296603,0.001745188,0.35919413,0.0006983645,0.0005102033,0.00024141345,0.00020563506,0.0001529843,0.007591893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954828,0.002743382,0.00013548779,0.000468263,0.00094064657,0.00022927945],"domain_scores_gemma":[0.986647,0.010750515,0.0007881553,0.0009549544,0.0005864504,0.00027298392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009210449,0.0012331975,0.0021768338,0.0015599962,0.00061353005,0.0033485247,0.0026806083,0.002470614,0.0037242484],"category_scores_gemma":[0.025515227,0.0011871007,0.001699642,0.0014583867,0.0014020076,0.0052602855,0.0026173177,0.0035077645,0.0004526579],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006957462,0.00008380496,0.0013258031,0.00007793742,0.00018767205,0.0002522828,0.0001517312,0.7408979,0.00064360065,0.2152336,0.00095212297,0.04012403],"study_design_scores_gemma":[0.000014297549,0.000024177065,0.00029518653,0.000029337984,0.000032349617,0.000079797064,0.000014556121,0.8689749,0.00024086173,0.12920593,0.0010657086,0.000022872557],"about_ca_topic_score_codex":0.002292715,"about_ca_topic_score_gemma":0.0018764302,"teacher_disagreement_score":0.009210449,"about_ca_system_score_codex":0.0018745885,"about_ca_system_score_gemma":0.0012594452,"threshold_uncertainty_score":0.048710108},"labels":[],"label_agreement":null},{"id":"W3124952293","doi":"10.1016/j.ejor.2011.05.034","title":"Do investors like to diversify? A study of Markowitz preferences","year":2011,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Agencia Nacional de Investigación e Innovación","keywords":"Diversification (marketing strategy); Economics; Financial economics; Asset allocation; Business; Microeconomics; Portfolio; Marketing","score_opus":0.2966131045794073,"score_gpt":0.31962460885901983,"score_spread":0.023011504279612516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124952293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855295,0.0007793665,0.0032681348,0.0018755044,0.000017291259,0.000015031059,0.000029022822,0.000005069508,0.008481125],"genre_scores_gemma":[0.99856514,0.00024214791,0.000328546,0.00013067883,0.000025811823,0.000004459243,0.000011726286,0.0000017267827,0.00068968296],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993586,0.00035587154,0.000027775062,0.000059416714,0.00009113208,0.000107210086],"domain_scores_gemma":[0.9799191,0.014082647,0.0035696048,0.000779042,0.00048819563,0.0011613914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041193278,0.00026698498,0.00056192605,0.00043473535,0.0004940955,0.001822333,0.0005145741,0.0012707738,0.0035742042],"category_scores_gemma":[0.022224225,0.00018241878,0.00038714622,0.0004906377,0.0010834232,0.0025075793,0.0005345519,0.0015058123,0.00030224808],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059434823,0.0015112386,0.37503216,0.00035818378,0.0010132284,0.0019373383,0.006311063,0.028802047,0.0053526754,0.3949013,0.00596458,0.17287265],"study_design_scores_gemma":[0.000748356,0.0022256507,0.1965025,0.00017091486,0.0004769796,0.0013773146,0.012432663,0.10256102,0.0030407014,0.67040545,0.009873012,0.00018536876],"about_ca_topic_score_codex":0.00051307055,"about_ca_topic_score_gemma":0.0006366977,"teacher_disagreement_score":0.0041193278,"about_ca_system_score_codex":0.0004583293,"about_ca_system_score_gemma":0.0002766913,"threshold_uncertainty_score":0.021785319},"labels":[],"label_agreement":null},{"id":"W3124984112","doi":"10.1111/1911-3846.12165","title":"The Effect of Information on Uncertainty and the Cost of Capital","year":2015,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Certainty; Cash flow; Economics; Variance (accounting); Capital asset pricing model; Cost of capital; Asset (computer security); Actuarial science; Microeconomics; Quality (philosophy); Econometrics; Financial economics; Finance; Computer science; Incentive; Accounting; Mathematics","score_opus":0.06054135008845157,"score_gpt":0.28733483020192374,"score_spread":0.22679348011347217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124984112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80918664,0.009775828,0.047124747,0.03157717,0.00040508588,0.00012259682,0.0012732913,0.0001547409,0.10037987],"genre_scores_gemma":[0.9967174,0.00071931235,0.00096529117,0.00019778205,0.00011139934,0.000014457911,0.00004495162,0.000013551353,0.0012158301],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9963134,0.0017601846,0.00018563165,0.0003278902,0.00083739834,0.00057540013],"domain_scores_gemma":[0.83396167,0.14141005,0.014084674,0.004769958,0.0039760005,0.0017975694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005646702,0.00046723246,0.00093807577,0.0012720478,0.0005799955,0.004116248,0.00094739284,0.0024350039,0.008208952],"category_scores_gemma":[0.06823995,0.00039178604,0.0004691522,0.0011528328,0.0026247632,0.005642326,0.0015839399,0.0023439617,0.00031146573],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016187298,0.00035428553,0.021158861,0.00043035767,0.00041870278,0.0010144853,0.00046594636,0.25530082,0.0020113648,0.6561893,0.0074882256,0.053548895],"study_design_scores_gemma":[0.00011400105,0.00030876778,0.020215368,0.00018509774,0.0001932857,0.00041670635,0.0003465944,0.1219955,0.0014644965,0.85038304,0.004227741,0.00014927331],"about_ca_topic_score_codex":0.0027799732,"about_ca_topic_score_gemma":0.0014375923,"teacher_disagreement_score":0.008208952,"about_ca_system_score_codex":0.00339669,"about_ca_system_score_gemma":0.0009411025,"threshold_uncertainty_score":0.029863},"labels":[],"label_agreement":null},{"id":"W3124995916","doi":"10.2139/ssrn.2139195","title":"Does Portfolio Emulation Outperform its Target Funds?","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Portfolio; Emulation; Business; Computer science; Finance; Economics","score_opus":0.018320061276635397,"score_gpt":0.2155742646316844,"score_spread":0.19725420335504898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124995916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90729564,0.0070260093,0.006539518,0.017427169,0.00054318557,0.000052398074,0.00026411726,0.00023906514,0.060612883],"genre_scores_gemma":[0.9973379,0.00034017095,0.0003148462,0.00036827262,0.0001431102,0.0000030968986,0.00004702229,0.000011797026,0.0014337748],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99851197,0.00074937893,0.00010072947,0.00016212671,0.0002395728,0.00023624237],"domain_scores_gemma":[0.98778176,0.006800383,0.0025591347,0.00074102555,0.0010056613,0.0011121429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057216547,0.00042770317,0.00072384387,0.00039035815,0.000275335,0.0022785638,0.00062419474,0.0016326638,0.0074127153],"category_scores_gemma":[0.027687976,0.00009307668,0.00033144228,0.0003216174,0.00039948968,0.003002387,0.00076710706,0.0009664356,0.0014848985],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01578539,0.0015843313,0.21108602,0.00053579576,0.001054171,0.00056313403,0.00036081977,0.013854923,0.0065563796,0.080893435,0.017078938,0.65064657],"study_design_scores_gemma":[0.003704651,0.026626945,0.49156743,0.00071815844,0.0031412852,0.003198644,0.0027398814,0.124291226,0.04246664,0.19722266,0.10416792,0.00015455444],"about_ca_topic_score_codex":0.00049697014,"about_ca_topic_score_gemma":0.0004811085,"teacher_disagreement_score":0.0074127153,"about_ca_system_score_codex":0.00052191206,"about_ca_system_score_gemma":0.00073426944,"threshold_uncertainty_score":0.03025937},"labels":[],"label_agreement":null},{"id":"W3124998246","doi":"","title":"The Effect of Additions To or Deletions From the TSE 300 Index on Canadian Share Prices","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University","funders":"","keywords":"Heteroscedasticity; Index (typography); Econometrics; Economics; Inference; Variable (mathematics); Price index; Financial economics; Mathematics; Computer science","score_opus":0.013139839468515645,"score_gpt":0.2116741812937677,"score_spread":0.19853434182525204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124998246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99636495,0.0001294647,0.00013596032,0.00018790478,0.000016006748,0.000015109931,0.00045975077,0.00001344691,0.0026774385],"genre_scores_gemma":[0.997398,0.00016978692,0.00024975822,0.000042095402,0.000025973877,0.0000049649366,0.0008699508,0.000005748047,0.001233788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977132,0.0002541716,0.00013964775,0.00022374123,0.0012329144,0.00043630335],"domain_scores_gemma":[0.96882564,0.011477952,0.011771499,0.0015972324,0.0046514287,0.0016761592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016516533,0.0004059047,0.0003283538,0.0013970773,0.00093120337,0.0017437937,0.00061803445,0.0006347664,0.0029062335],"category_scores_gemma":[0.026694672,0.0001683791,0.0004408869,0.0015245562,0.0011796677,0.0009974232,0.00075388036,0.000980892,0.00031702546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002220231,0.00022022777,0.9428144,0.00008019413,0.00018282021,0.0005052119,0.00096332683,0.0027851097,0.0077829813,0.0011760365,0.0012235191,0.04004605],"study_design_scores_gemma":[0.000007966231,0.00013571316,0.99541605,0.0000047691187,0.000041316503,0.00006219169,0.0005408946,0.0008366038,0.0014480301,0.00010056206,0.0013910558,0.000014900547],"about_ca_topic_score_codex":0.47112972,"about_ca_topic_score_gemma":0.5752609,"teacher_disagreement_score":0.5288703,"about_ca_system_score_codex":0.0050237114,"about_ca_system_score_gemma":0.0034278396,"threshold_uncertainty_score":0.93677485},"labels":[],"label_agreement":null},{"id":"W3125010181","doi":"10.1177/0148558x0602100104","title":"The Impact of Intraday Timing of Earnings Announcements on the Bid-Ask Spread and Depth","year":2006,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Univariate; Business; Stock (firearms); Consistency (knowledge bases); Multivariate statistics; Accounting; Statistics; Mathematics; Geography","score_opus":0.022203113394546153,"score_gpt":0.23292163591164228,"score_spread":0.21071852251709614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125010181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978709,0.00034130577,0.00021931237,0.00011441735,0.000008073674,0.00000431346,0.00024590464,0.000009734875,0.0011860003],"genre_scores_gemma":[0.9990983,0.00013634555,0.00007589264,0.00001353159,0.000017929555,0.0000017886697,0.0002125839,0.000004147865,0.00043950276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993426,0.00017473477,0.000056625537,0.00010436646,0.00019957371,0.00012208869],"domain_scores_gemma":[0.96075386,0.024741258,0.009985429,0.001020333,0.001058181,0.0024409767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015165088,0.00029026074,0.00036564594,0.00071799214,0.00032609457,0.0017052045,0.00031594615,0.00043285568,0.004273369],"category_scores_gemma":[0.017058488,0.00020378496,0.00037206637,0.0008686897,0.0003476423,0.0008799428,0.0008299387,0.0009449972,0.0004532883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00247198,0.00027008078,0.9692174,0.000047587007,0.00027083082,0.0003422116,0.00035565667,0.0018260792,0.004867933,0.0006011602,0.0004014632,0.019327557],"study_design_scores_gemma":[0.000017710594,0.00025264482,0.99705803,0.0000040800223,0.000090900015,0.000051286315,0.00017938194,0.0012867436,0.000653701,0.00016842569,0.00022768443,0.0000093604685],"about_ca_topic_score_codex":0.010888406,"about_ca_topic_score_gemma":0.010717326,"teacher_disagreement_score":0.010888406,"about_ca_system_score_codex":0.00043708977,"about_ca_system_score_gemma":0.00037887585,"threshold_uncertainty_score":0.021650016},"labels":[],"label_agreement":null},{"id":"W3125015893","doi":"","title":"Public Information and Uninformed Trading: Implications for Market Liquidity and Price Efficiency","year":2016,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Market liquidity; Dark liquidity; Private information retrieval; Algorithmic trading; Information asymmetry; Market maker; Public information; Liquidity crisis; Economics; Monetary economics; Alternative trading system; Market microstructure; Financial economics; Harm; Business; Liquidity risk; Population; Market impact; High-frequency trading; Microeconomics; Finance; Order (exchange)","score_opus":0.06305529248020188,"score_gpt":0.27120169107390585,"score_spread":0.20814639859370399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125015893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4928675,0.0020365645,0.4197901,0.016395114,0.00016702391,0.00014362238,0.0004799943,0.00028420653,0.06783579],"genre_scores_gemma":[0.99011874,0.00040042825,0.0056796726,0.00026814503,0.000088268964,0.000035622143,0.000041926738,0.000019456655,0.0033476902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987104,0.0004590541,0.000069307935,0.00022377036,0.00025212477,0.00028529155],"domain_scores_gemma":[0.98379296,0.010400009,0.0034320538,0.0011646085,0.00074088614,0.0004695501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003091424,0.00059814035,0.0014908712,0.00075905694,0.0007407015,0.005930555,0.0014356094,0.0031748293,0.00714806],"category_scores_gemma":[0.02318608,0.0006370385,0.0010546759,0.00080047286,0.0026897884,0.008526261,0.0018077907,0.0022341656,0.000602074],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019660324,0.00016648558,0.0022527445,0.00010422407,0.00007537114,0.0004883617,0.00033461902,0.08498526,0.001583412,0.8983505,0.0014915527,0.009970853],"study_design_scores_gemma":[0.00010185547,0.000047059886,0.00075512746,0.00002928722,0.000026473235,0.00007091791,0.0000769229,0.19047157,0.00045206476,0.80723155,0.00070787326,0.00002928046],"about_ca_topic_score_codex":0.0018271497,"about_ca_topic_score_gemma":0.0012430737,"teacher_disagreement_score":0.00714806,"about_ca_system_score_codex":0.0014450571,"about_ca_system_score_gemma":0.0013144398,"threshold_uncertainty_score":0.023912609},"labels":[],"label_agreement":null},{"id":"W3125018204","doi":"10.2139/ssrn.3337648","title":"Monday Mornings: Individual Investor Trading on Days of the Week and Times Within a Day","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Names of the days of the week; Business; Advertising","score_opus":0.022422861481826026,"score_gpt":0.20326518915661207,"score_spread":0.18084232767478603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125018204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4360657,0.0026399277,0.008210618,0.005975145,0.011556026,0.00088255515,0.17333813,0.013600296,0.34773156],"genre_scores_gemma":[0.7024785,0.0012586621,0.008026657,0.0024702244,0.005975011,0.0007896215,0.0860654,0.0021342565,0.19080164],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995173,0.00005516679,0.000033687425,0.00008240045,0.00017581898,0.00013550407],"domain_scores_gemma":[0.9968706,0.00020717837,0.00028648123,0.00044086578,0.0006452913,0.0015495605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000520008,0.0008780926,0.0009198761,0.0014544299,0.0015826961,0.0029827596,0.0012674882,0.0016350112,0.10544192],"category_scores_gemma":[0.003080942,0.0005434572,0.0005958598,0.0015502889,0.00030803191,0.0019710578,0.0022059986,0.0015776647,0.034746267],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004146265,0.00054800964,0.043922555,0.00028609062,0.00020759356,0.00052151404,0.0008913706,0.0011783004,0.0028198026,0.002453057,0.87138635,0.07163908],"study_design_scores_gemma":[0.0002654647,0.00053108536,0.4738007,0.00017829769,0.00011012576,0.00042933918,0.0024385878,0.0042536007,0.0021141295,0.0031356073,0.5125292,0.0002138538],"about_ca_topic_score_codex":0.009683729,"about_ca_topic_score_gemma":0.034752958,"teacher_disagreement_score":0.10544192,"about_ca_system_score_codex":0.0004535068,"about_ca_system_score_gemma":0.00052342284,"threshold_uncertainty_score":0.35273838},"labels":[],"label_agreement":null},{"id":"W3125018794","doi":"10.1111/j.1911-3846.2000.tb00908.x","title":"The Relation between Analysts' Forecasts of Long‐Term Earnings Growth and Stock Price Performance Following Equity Offerings*","year":2000,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":540,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Earnings growth; Equity (law); Economics; Growth stock; Stock price; Term (time); Stock (firearms); Initial public offering; Financial economics; Business; Monetary economics; Finance; Stock market; Restricted stock","score_opus":0.09668271604490523,"score_gpt":0.3081334254015547,"score_spread":0.21145070935664945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125018794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990108,0.000057683803,0.00009202018,0.0001263763,0.0000067949363,0.0000024362962,0.00005371786,0.0000065273452,0.0006435864],"genre_scores_gemma":[0.9996075,0.00003279532,0.000042846368,0.00001098754,0.000018224126,0.0000012089839,0.00007450224,0.0000013081362,0.0002105357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996412,0.00009207297,0.000045035096,0.00003411027,0.000119430915,0.000068151],"domain_scores_gemma":[0.953758,0.019645002,0.020783368,0.0007534732,0.0024910034,0.0025692184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018893505,0.00022018503,0.00015140878,0.00043419815,0.00021940084,0.0011019575,0.0002281664,0.00063559273,0.0021612542],"category_scores_gemma":[0.024418829,0.000097216216,0.00015167957,0.00033436305,0.00021333745,0.0007247118,0.00034276533,0.0009780029,0.00037693352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069471786,0.0003201881,0.982678,0.000017438408,0.00005251174,0.00014916381,0.00035439985,0.0019735144,0.0017247652,0.00028852414,0.00042069147,0.011326236],"study_design_scores_gemma":[0.000010904425,0.00024024858,0.99363387,0.0000103717575,0.000021888936,0.000069367474,0.00036044608,0.0039257,0.0009044774,0.00054256996,0.00026232918,0.000017804594],"about_ca_topic_score_codex":0.0032742568,"about_ca_topic_score_gemma":0.004583912,"teacher_disagreement_score":0.0032742568,"about_ca_system_score_codex":0.00044335285,"about_ca_system_score_gemma":0.0002715551,"threshold_uncertainty_score":0.009991944},"labels":[],"label_agreement":null},{"id":"W3125020992","doi":"10.1017/s0022109025101695","title":"Do Individual Investors Ignore Transaction Costs?","year":2025,"lang":"en","type":"preprint","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Transaction cost; Business; Database transaction; Economics; Industrial organization; Computer science; Finance; Database","score_opus":0.05986085228136544,"score_gpt":0.2807023762938186,"score_spread":0.22084152401245316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125020992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830761,0.0005369811,0.0050689788,0.0014553,0.000020799087,0.00002131579,0.0001314237,0.000017000217,0.009672239],"genre_scores_gemma":[0.9989761,0.00011365518,0.00033945762,0.00012874066,0.000019056808,0.0000045215133,0.00002743037,0.0000020102495,0.0003891005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942136,0.00014605829,0.000047133915,0.00011994804,0.00014645244,0.00011903741],"domain_scores_gemma":[0.9834374,0.006506359,0.007823123,0.0008810234,0.00067646784,0.00067573215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015957609,0.00019514443,0.0006137096,0.00047368268,0.00024586805,0.0020602047,0.0004089386,0.00088133366,0.0036148399],"category_scores_gemma":[0.016844898,0.00021863925,0.00017674362,0.00053232035,0.0005084952,0.0026504425,0.00054051523,0.00077947974,0.00025098858],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008993107,0.0004098536,0.79836273,0.00025004105,0.00067687564,0.00073148037,0.0008217246,0.022779224,0.003233728,0.0255767,0.0027813993,0.14347693],"study_design_scores_gemma":[0.00020186209,0.0006325592,0.7351359,0.00013837757,0.00043271398,0.0010758259,0.0029370384,0.09091999,0.0039865742,0.15659858,0.0078287,0.00011187695],"about_ca_topic_score_codex":0.0019499868,"about_ca_topic_score_gemma":0.002411923,"teacher_disagreement_score":0.0036148399,"about_ca_system_score_codex":0.000538288,"about_ca_system_score_gemma":0.0003261527,"threshold_uncertainty_score":0.012092829},"labels":[],"label_agreement":null},{"id":"W3125028742","doi":"10.1016/j.jbankfin.2016.10.009","title":"Does corporate social responsibility affect mutual fund performance and flows?","year":2016,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":284,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Alberta","funders":"","keywords":"Corporate social responsibility; Affect (linguistics); Business; Mutual fund; Persistence (discontinuity); Asset (computer security); Accounting; Finance; Public relations; Psychology; Computer science; Political science","score_opus":0.04616456406755469,"score_gpt":0.2334788921489138,"score_spread":0.18731432808135912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125028742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893383,0.00014711068,0.000110704175,0.003158781,0.000014890817,0.000005066355,0.00004992165,0.000004010787,0.007171281],"genre_scores_gemma":[0.9994272,0.000045456123,0.000017213722,0.00005384896,0.000012550641,0.0000010825413,0.00001348065,0.0000012464418,0.0004279803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879044,0.00048529822,0.00005077858,0.000102854436,0.00017236116,0.0003982577],"domain_scores_gemma":[0.97123027,0.009463577,0.011907741,0.00075378834,0.0021992514,0.0044454536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022708608,0.00013621495,0.00023464982,0.0007528748,0.0007132904,0.0026276805,0.00036892362,0.0015915987,0.0065895566],"category_scores_gemma":[0.016714983,0.00015576328,0.00032602367,0.0005685242,0.0014475045,0.002154605,0.0012405402,0.000979773,0.00062842306],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039215008,0.00053242204,0.9733288,0.000024625893,0.00018925812,0.00020911558,0.0016003866,0.0010112869,0.00038201964,0.0069296085,0.0009655626,0.014434757],"study_design_scores_gemma":[0.000033660166,0.00013773161,0.9848899,0.000019497069,0.00007261692,0.00007396588,0.004249308,0.0011308439,0.00024188703,0.007154625,0.0019800263,0.000015998561],"about_ca_topic_score_codex":0.006800295,"about_ca_topic_score_gemma":0.011348567,"teacher_disagreement_score":0.006800295,"about_ca_system_score_codex":0.0011573143,"about_ca_system_score_gemma":0.0013432647,"threshold_uncertainty_score":0.022044301},"labels":[],"label_agreement":null},{"id":"W3125029439","doi":"10.1198/jbes.2009.0008","title":"How Useful are Historical Data for Forecasting the Long-Run Equity Return Distribution?","year":2009,"lang":"en","type":"article","venue":"Journal of Business and Economic Statistics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Econometrics; Equity (law); Economics; Distribution (mathematics); Financial economics; Mathematics","score_opus":0.12751570925998879,"score_gpt":0.2650328956264253,"score_spread":0.1375171863664365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125029439","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40617135,0.027969917,0.5177483,0.01646632,0.0021249964,0.000175754,0.014692319,0.0009684832,0.013682613],"genre_scores_gemma":[0.9314707,0.007546423,0.052630953,0.00047136858,0.0010340384,0.00008662865,0.0054962267,0.00008251679,0.001181093],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986174,0.0005977067,0.000162054,0.00027237184,0.00025981799,0.00009066787],"domain_scores_gemma":[0.9747751,0.015486024,0.003130328,0.0034147908,0.0026041921,0.00058960787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056436663,0.0009497223,0.0011147923,0.002830906,0.000491552,0.0030807687,0.001369117,0.002364894,0.002219905],"category_scores_gemma":[0.045826726,0.00067069207,0.00049948745,0.0027160612,0.0006387889,0.010238295,0.0007913241,0.0021078887,0.0008820074],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038374594,0.00037690674,0.3195828,0.000693593,0.0007700917,0.00057060504,0.00036022445,0.22373286,0.0023595253,0.042017825,0.013427502,0.39572433],"study_design_scores_gemma":[0.000081946004,0.00035370994,0.10009852,0.0010889642,0.0003693013,0.0005019902,0.0009548902,0.7002126,0.003863914,0.1674438,0.024727734,0.00030255914],"about_ca_topic_score_codex":0.0063856877,"about_ca_topic_score_gemma":0.0072436226,"teacher_disagreement_score":0.0063856877,"about_ca_system_score_codex":0.00058798667,"about_ca_system_score_gemma":0.00056842016,"threshold_uncertainty_score":0.029846907},"labels":[],"label_agreement":null},{"id":"W3125032534","doi":"10.1287/mnsc.2018.3066","title":"When Anomalies Are Publicized Broadly, Do Institutions Trade Accordingly?","year":2019,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Arbitrage; Incentive; Institutional investor; Hedge fund; Business; Market efficiency; Trading strategy; Monetary economics; Stock (firearms); Financial economics; Stock market; Anomaly (physics); Economics; Accounting; Finance; Microeconomics; Corporate governance","score_opus":0.04175793289456401,"score_gpt":0.2286884066347259,"score_spread":0.1869304737401619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125032534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94899243,0.0011208311,0.0058786725,0.008407554,0.00011748255,0.000033500215,0.0002678253,0.00014051035,0.03504123],"genre_scores_gemma":[0.9975357,0.0002495203,0.00045232216,0.0003320761,0.000109896995,0.0000064388623,0.000055249246,0.000012753546,0.0012460925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793077,0.0005497128,0.00014754831,0.0003400218,0.00058398355,0.00044801153],"domain_scores_gemma":[0.96737355,0.006926322,0.019793268,0.0027549851,0.001960014,0.001191806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034120865,0.00012831482,0.00036813767,0.0012361482,0.00049416354,0.0048623085,0.0004183358,0.0016568279,0.0057035084],"category_scores_gemma":[0.033469167,0.00017195643,0.00022619033,0.0011136996,0.0014861907,0.005709325,0.0010943454,0.0010148522,0.0011254385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006709561,0.0002846997,0.6811879,0.000117526855,0.0003100458,0.00071982667,0.0035157462,0.0020183215,0.008394449,0.06900311,0.005938378,0.227839],"study_design_scores_gemma":[0.00010508991,0.0004443114,0.82106954,0.00018167989,0.0001822729,0.0010590672,0.009236243,0.0070521506,0.0060853637,0.12241684,0.03203945,0.00012795192],"about_ca_topic_score_codex":0.00083308504,"about_ca_topic_score_gemma":0.0009241914,"teacher_disagreement_score":0.0057035084,"about_ca_system_score_codex":0.0008715513,"about_ca_system_score_gemma":0.00063926884,"threshold_uncertainty_score":0.019080162},"labels":[],"label_agreement":null},{"id":"W3125034058","doi":"10.3386/w15833","title":"Information, analysts, and stock return comovement","year":2010,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Stock (firearms); Business; Financial economics; Economics; Geography","score_opus":0.2055841696170727,"score_gpt":0.4053507553885596,"score_spread":0.19976658577148687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125034058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932248,0.00046472056,0.0019123473,0.00033519717,0.000018667797,0.00001168192,0.00020213086,0.000053154505,0.0037771752],"genre_scores_gemma":[0.9990538,0.00012533639,0.00029444494,0.000022393728,0.000022717391,0.000003554347,0.00013856101,0.000004668315,0.0003345474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917775,0.00025058188,0.000073116025,0.00018467307,0.00019121403,0.00012270313],"domain_scores_gemma":[0.9700586,0.018544922,0.007723208,0.0017227714,0.0010273808,0.00092311634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025336419,0.00038408735,0.00062212494,0.002540664,0.0003017221,0.0020114637,0.00034806645,0.0007079192,0.0034204181],"category_scores_gemma":[0.030113174,0.0002133842,0.00039318838,0.0029132683,0.00053978845,0.0018660732,0.0012207086,0.00066261186,0.00043858335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055425003,0.0002773483,0.9439273,0.00006313062,0.00035819318,0.00053309737,0.0012928693,0.006900747,0.002648549,0.005367554,0.00095627824,0.03712075],"study_design_scores_gemma":[0.00006724478,0.0002524308,0.9440913,0.000046466223,0.0002806107,0.00034292234,0.0012573269,0.030762224,0.0022512444,0.01895634,0.0016414953,0.000050415667],"about_ca_topic_score_codex":0.0036261415,"about_ca_topic_score_gemma":0.0026408024,"teacher_disagreement_score":0.0036261415,"about_ca_system_score_codex":0.00050863577,"about_ca_system_score_gemma":0.00049256015,"threshold_uncertainty_score":0.013399363},"labels":[],"label_agreement":null},{"id":"W3125036528","doi":"10.1287/mnsc.2013.1722","title":"When the Tail Wags the Dog: Industry Leaders, Limited Attention, and Spurious Cross-Industry Information Diffusion","year":2013,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spurious relationship; Stock (firearms); Business; Economics; Minor (academic); Industrial organization; Marketing; Engineering; Computer science","score_opus":0.025374156763569557,"score_gpt":0.22186576382656856,"score_spread":0.196491607062999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125036528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805414,0.00048286302,0.008058804,0.0038281505,0.00004820365,0.0000396433,0.00012095857,0.00008187955,0.0067981156],"genre_scores_gemma":[0.99843496,0.000056708013,0.00036071308,0.00033183166,0.000037527705,0.000006361219,0.00003263883,0.0000058260375,0.00073337316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986873,0.0003202236,0.00009732424,0.00041685803,0.0002435675,0.00023474399],"domain_scores_gemma":[0.9698186,0.016465714,0.008578634,0.0025452413,0.0010150819,0.0015767182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004095035,0.0002032333,0.0006312913,0.001306465,0.00064975146,0.002191005,0.000577978,0.001523647,0.0050457492],"category_scores_gemma":[0.037586294,0.00030511117,0.00023609372,0.0010777259,0.0017349652,0.0034620531,0.0013878021,0.00170435,0.00039612767],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013306653,0.0003343814,0.8286125,0.00017411355,0.00025337987,0.0018639425,0.005707094,0.002368169,0.0056574126,0.039147794,0.005782206,0.1087683],"study_design_scores_gemma":[0.00021955493,0.0005131245,0.8377328,0.0001413359,0.00033267358,0.0013441517,0.0052205147,0.032052923,0.00558449,0.11083519,0.005921534,0.000101740065],"about_ca_topic_score_codex":0.003989615,"about_ca_topic_score_gemma":0.0035383098,"teacher_disagreement_score":0.0050457492,"about_ca_system_score_codex":0.0006434476,"about_ca_system_score_gemma":0.0003849515,"threshold_uncertainty_score":0.02165687},"labels":[],"label_agreement":null},{"id":"W3125041787","doi":"","title":"Informed and Uninformed Trading in an Electronic, Order-Driven Environment","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Electronic trading; Order (exchange); Dark liquidity; Business; Stock exchange; Alternative trading system; Open outcry; Algorithmic trading; Financial economics; Monetary economics; High-frequency trading; Economics; Finance","score_opus":0.012507770698101084,"score_gpt":0.2012861659117483,"score_spread":0.18877839521364723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125041787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984067,0.000022708762,0.00047697243,0.000024029996,0.0000014514472,0.000009818235,0.000017271486,0.000002440263,0.001038537],"genre_scores_gemma":[0.99852306,0.000037475722,0.00031042064,0.000029002356,0.0000030638482,0.000007541312,0.00002698943,0.0000012296279,0.0010611902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989876,0.00046437673,0.00006584479,0.00012075581,0.00023147235,0.00012987197],"domain_scores_gemma":[0.98959243,0.006095675,0.0027578936,0.0008594304,0.00030443296,0.00039011665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002255376,0.00024952093,0.00036847987,0.0004030012,0.00039881124,0.0022444446,0.00029701256,0.00075820676,0.002804528],"category_scores_gemma":[0.0129200835,0.00020859072,0.00016779394,0.00038018706,0.0010363735,0.0018903877,0.0006741866,0.00057492696,0.0004353103],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005675889,0.0036449698,0.8485266,0.00013345567,0.00026142361,0.002908915,0.007943875,0.035253517,0.0131232105,0.026437402,0.0005994516,0.05549131],"study_design_scores_gemma":[0.00057045755,0.0039453516,0.70669883,0.00006475199,0.0002185157,0.0016252636,0.0106126955,0.2086626,0.014346295,0.050249603,0.002794552,0.00021101929],"about_ca_topic_score_codex":0.0018912626,"about_ca_topic_score_gemma":0.0023771205,"teacher_disagreement_score":0.002804528,"about_ca_system_score_codex":0.00038389186,"about_ca_system_score_gemma":0.00032853885,"threshold_uncertainty_score":0.011927724},"labels":[],"label_agreement":null},{"id":"W3125043263","doi":"10.2139/ssrn.3468493","title":"Do Excessively Volatile Forecasts Impact Investors?","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Economics; Monetary economics; Finance; Financial economics","score_opus":0.017076091704851262,"score_gpt":0.22489997375321993,"score_spread":0.20782388204836866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125043263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9428554,0.0020498848,0.0009962966,0.030415023,0.0005280847,0.000013401038,0.00069632195,0.00009271185,0.022353018],"genre_scores_gemma":[0.9972415,0.00055298547,0.00009405347,0.0009455915,0.00032238654,0.0000022436152,0.000104720806,0.000014611971,0.0007218709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892575,0.00036774692,0.00008758654,0.00012846374,0.00027387598,0.00021643173],"domain_scores_gemma":[0.94805634,0.02558012,0.020444626,0.0014986714,0.0025417542,0.0018786017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029598582,0.00022252562,0.00034142067,0.0007046588,0.00032517876,0.003498689,0.00036069454,0.0025654156,0.007483963],"category_scores_gemma":[0.07719122,0.00023362583,0.000187472,0.0006802626,0.0006625354,0.0035466063,0.0006257989,0.001676505,0.0017907039],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013003356,0.000348605,0.8679594,0.00011865497,0.00030769623,0.00064398703,0.0010001046,0.0039722137,0.0010461767,0.009219978,0.026021635,0.08806121],"study_design_scores_gemma":[0.00025351832,0.0006143566,0.8674818,0.00024109882,0.00040127707,0.0008129338,0.0060816263,0.020465301,0.0031622634,0.08296952,0.017388677,0.00012757831],"about_ca_topic_score_codex":0.003222457,"about_ca_topic_score_gemma":0.0040915227,"teacher_disagreement_score":0.007483963,"about_ca_system_score_codex":0.00062550436,"about_ca_system_score_gemma":0.00067509647,"threshold_uncertainty_score":0.025036335},"labels":[],"label_agreement":null},{"id":"W3125045500","doi":"10.1142/s0219024913500374","title":"RESILIENT PRICE IMPACT OF TRADING AND THE COST OF ILLIQUIDITY","year":2013,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Market liquidity; Arbitrage; Economics; Econometrics; Asset (computer security); Liquidity risk; Order (exchange); Capital asset pricing model; Limiting; Resilience (materials science); Maximization; Psychological resilience; Financial economics; Microeconomics; Monetary economics; Computer science; Finance","score_opus":0.011944275050011359,"score_gpt":0.22842016560354655,"score_spread":0.2164758905535352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125045500","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41973048,0.0014026565,0.54222554,0.004114991,0.00010210238,0.000106128275,0.00063263305,0.00028362934,0.031401794],"genre_scores_gemma":[0.98662657,0.0003967869,0.006446442,0.000085524094,0.00005670421,0.000037307702,0.000056591412,0.000022759657,0.006271397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999516,0.00012816668,0.000024264204,0.00009241894,0.00012256805,0.00011650339],"domain_scores_gemma":[0.99758744,0.0009722248,0.00081312755,0.00021418912,0.00013854988,0.000274407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009079752,0.00087125355,0.000864425,0.0009617561,0.00043660108,0.0027348099,0.0017973533,0.0020484673,0.0043989974],"category_scores_gemma":[0.0060533257,0.000580426,0.000942255,0.0007787198,0.0018519415,0.0054190014,0.0017397286,0.0023208228,0.00033921754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006496812,0.00007710065,0.0018348988,0.00006780549,0.00003858532,0.0005863279,0.00011634392,0.53745997,0.0026673838,0.45047343,0.00083767384,0.0057755164],"study_design_scores_gemma":[0.000021667702,0.000055987337,0.0008559439,0.000022305443,0.00003589325,0.00019234796,0.000029498415,0.7391472,0.00043065616,0.2583745,0.0007976,0.00003641807],"about_ca_topic_score_codex":0.002256256,"about_ca_topic_score_gemma":0.0014867937,"teacher_disagreement_score":0.0043989974,"about_ca_system_score_codex":0.0014259557,"about_ca_system_score_gemma":0.00081877847,"threshold_uncertainty_score":0.014716148},"labels":[],"label_agreement":null},{"id":"W3125046938","doi":"","title":"Equity Market Momentum: A Synthesis of the Literature and Suggestions for Future Work","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Phenomenon; Equity (law); Momentum (technical analysis); Economics; Financial economics; Work (physics); Quarter (Canadian coin); Political science; Physics; Law; History","score_opus":0.011685394178540693,"score_gpt":0.21940908235421533,"score_spread":0.20772368817567463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125046938","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004504972,0.97761655,0.00075791636,0.017948385,0.0012551477,0.000024723082,0.000073396324,0.000014480393,0.0018589905],"genre_scores_gemma":[0.0055538528,0.98715115,0.0013367875,0.003006585,0.0021748764,0.00006106279,0.00012544669,0.000009464712,0.00058079476],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99834013,0.00050549634,0.00028213245,0.00034726574,0.0003061701,0.00021867953],"domain_scores_gemma":[0.97950405,0.014505005,0.0013362559,0.00034101558,0.0035182042,0.0007955177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008338992,0.0013260494,0.0031257947,0.01293974,0.001651268,0.008405626,0.0026363502,0.004307823,0.019369679],"category_scores_gemma":[0.022381015,0.0007950856,0.0017639123,0.017517557,0.0032342393,0.016858755,0.0031259656,0.0041206246,0.0027040655],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035073757,0.0003358143,0.0046153907,0.07065388,0.0003783936,0.0007188182,0.0024802326,0.0014680667,0.00035772892,0.11426051,0.095986225,0.7083942],"study_design_scores_gemma":[0.000075605174,0.0001977327,0.01401575,0.16114324,0.0006246492,0.0012071728,0.011201847,0.0016872272,0.00020616829,0.23057579,0.5789072,0.00015768866],"about_ca_topic_score_codex":0.006242904,"about_ca_topic_score_gemma":0.009033482,"teacher_disagreement_score":0.019369679,"about_ca_system_score_codex":0.005155924,"about_ca_system_score_gemma":0.009550013,"threshold_uncertainty_score":0.06479806},"labels":[],"label_agreement":null},{"id":"W3125064893","doi":"10.1016/j.finmar.2009.09.004","title":"Option market liquidity: Commonality and other characteristics","year":2009,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":129,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"Social Sciences and Humanities Research Council of Canada; National Taiwan University; Shanghai Educational Development Foundation","keywords":"Market liquidity; Liquidity crisis; Liquidity risk; Accounting liquidity; Market impact; Market maker; Economics; Financial economics; Liquidity premium; Volatility (finance); Monetary economics; Market microstructure; Business; Stock market; Order (exchange); Finance","score_opus":0.02790470877651288,"score_gpt":0.22670726668066446,"score_spread":0.19880255790415158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125064893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98828566,0.00019992494,0.008694735,0.00019175795,0.0000061609053,0.00002377964,0.00025269145,0.000031379248,0.0023139098],"genre_scores_gemma":[0.9991185,0.000045676185,0.00045645662,0.0000075909484,0.00002595093,0.00001188595,0.00014108085,0.0000044037233,0.00018838223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858946,0.00035666002,0.0001884436,0.00029270898,0.0003394745,0.00023319217],"domain_scores_gemma":[0.93745446,0.040749997,0.010766689,0.006153613,0.0023583774,0.0025168923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037893848,0.000257866,0.0011460192,0.0036671846,0.00074971607,0.00315798,0.0011534808,0.0011138694,0.0056270063],"category_scores_gemma":[0.033339668,0.00027788867,0.0011325818,0.003468412,0.0021217018,0.0058473432,0.0022595387,0.0009491882,0.00023413448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021401723,0.0006298618,0.6153184,0.0001861614,0.000969963,0.0013409823,0.0029478252,0.016454984,0.009239572,0.30233115,0.002082692,0.04635828],"study_design_scores_gemma":[0.000322919,0.00087903976,0.3672013,0.00007237713,0.0004750286,0.004900716,0.0022460963,0.09392217,0.003694155,0.5234263,0.002667972,0.00019190162],"about_ca_topic_score_codex":0.00030831515,"about_ca_topic_score_gemma":0.00027177474,"teacher_disagreement_score":0.0056270063,"about_ca_system_score_codex":0.00053343014,"about_ca_system_score_gemma":0.00042344653,"threshold_uncertainty_score":0.020040393},"labels":[],"label_agreement":null},{"id":"W3125083464","doi":"10.2139/ssrn.4944425","title":"Information leakages, distribution of profits from informed trading, and last mover advantage","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Scrutiny; Liberian dollar; Asset (computer security); Business; Monetary economics; Financial economics; Economics; Finance; Computer science; Computer security; Law","score_opus":0.00892651047580184,"score_gpt":0.20450518535351167,"score_spread":0.19557867487770983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125083464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8558847,0.0021489402,0.11372923,0.0041800225,0.00007209236,0.00006391002,0.00056915084,0.00042283098,0.022929125],"genre_scores_gemma":[0.99656016,0.0003021414,0.0010440917,0.0000719119,0.000041467276,0.000008968834,0.00004433305,0.00001588075,0.0019109707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984896,0.00040636878,0.00009401936,0.00032386402,0.00030678304,0.0003794046],"domain_scores_gemma":[0.9490585,0.03775197,0.006881351,0.0042234063,0.0009531449,0.0011317118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005202375,0.00045814668,0.0016144133,0.0015497014,0.00073469605,0.0046853903,0.0016058426,0.002468556,0.008551015],"category_scores_gemma":[0.049071867,0.00049875525,0.0007368424,0.0018441614,0.003606227,0.010017976,0.0020447993,0.0023507366,0.00068150455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020716654,0.00029243165,0.022719327,0.00028814457,0.00033750382,0.0014173008,0.0013972918,0.08499321,0.0036181142,0.81840926,0.0047004456,0.059755344],"study_design_scores_gemma":[0.00011618207,0.00019474953,0.008490446,0.000046040976,0.00011029436,0.00060715614,0.00034024834,0.14062606,0.0013559448,0.8469623,0.0010734705,0.00007720957],"about_ca_topic_score_codex":0.00090848235,"about_ca_topic_score_gemma":0.00067044154,"teacher_disagreement_score":0.008551015,"about_ca_system_score_codex":0.0014604756,"about_ca_system_score_gemma":0.00086305046,"threshold_uncertainty_score":0.028605938},"labels":[],"label_agreement":null},{"id":"W3125157003","doi":"","title":"Systematic tail risk","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Tail risk; Econometrics; Economics; Tail dependence; Systematic risk; Portfolio; Extreme value theory; Crash; BETA (programming language); Risk premium; Financial economics; Statistics; Mathematics; Multivariate statistics","score_opus":0.040859143015255756,"score_gpt":0.2661300085155613,"score_spread":0.22527086550030553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125157003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9212096,0.0011401032,0.05581312,0.00036306254,0.000095286225,0.00013426508,0.0029295678,0.00058348844,0.017731413],"genre_scores_gemma":[0.99453604,0.00014968586,0.0025613583,0.000077300014,0.000047052214,0.00003338615,0.0007788106,0.000030678573,0.0017857507],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983449,0.00025616356,0.00014465018,0.00036940587,0.0006078482,0.00027715063],"domain_scores_gemma":[0.9681986,0.013224513,0.010158595,0.004587072,0.0023496526,0.0014816311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028968374,0.0007805504,0.0007479777,0.0020775483,0.0003966633,0.0012702213,0.00083691685,0.0011621802,0.011368927],"category_scores_gemma":[0.02549304,0.00027387412,0.00084670767,0.0015656651,0.00082656083,0.0017410698,0.0013784262,0.0010238932,0.0017584665],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094137073,0.0004227342,0.8262922,0.00034958473,0.0007297505,0.0010910638,0.0005016363,0.018447354,0.012310594,0.037862334,0.0055386554,0.095512636],"study_design_scores_gemma":[0.00016410483,0.0017854425,0.7255788,0.0003114118,0.00063659606,0.004785459,0.00043316509,0.10065874,0.018999713,0.13658305,0.009852847,0.00021068384],"about_ca_topic_score_codex":0.001030565,"about_ca_topic_score_gemma":0.00086995156,"teacher_disagreement_score":0.011368927,"about_ca_system_score_codex":0.0003761119,"about_ca_system_score_gemma":0.000572828,"threshold_uncertainty_score":0.03803289},"labels":[],"label_agreement":null},{"id":"W3125158876","doi":"10.1287/mnsc.1120.1633","title":"Investor Sentiment, Disagreement, and the Breadth–Return Relationship","year":2013,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Economics; Econometrics; Market sentiment; Variation (astronomy); Aggregate (composite); Financial economics","score_opus":0.027839184240841645,"score_gpt":0.20847501491485648,"score_spread":0.18063583067401484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125158876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99272126,0.00053888885,0.0026645975,0.0005295424,0.00000899392,0.0000069457096,0.00007948308,0.0000129385435,0.0034373037],"genre_scores_gemma":[0.99925154,0.00014731546,0.00017239814,0.00005866329,0.00003343627,0.0000031897368,0.0000589835,0.0000036270558,0.00027090602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950635,0.00017824786,0.000039419967,0.00010090183,0.000079963,0.00009507849],"domain_scores_gemma":[0.9661539,0.019783657,0.010820698,0.0011580324,0.0010123452,0.001071435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026649337,0.000257538,0.0004354589,0.0010530184,0.00031678553,0.0014633602,0.00037064552,0.0009704026,0.0037095854],"category_scores_gemma":[0.021831553,0.00021989571,0.0002827842,0.00091692636,0.00075051456,0.002319783,0.0013498391,0.0011575205,0.00044074384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035601977,0.00015675354,0.95423657,0.00005250911,0.00026662817,0.00030264087,0.0005521477,0.008515904,0.002368973,0.013448058,0.0006832024,0.019060519],"study_design_scores_gemma":[0.000047896214,0.00026580866,0.9152089,0.00004543384,0.00017346173,0.0005464609,0.00048560847,0.042875033,0.00096261315,0.038302835,0.0010410796,0.000044947366],"about_ca_topic_score_codex":0.0008932885,"about_ca_topic_score_gemma":0.00062484416,"teacher_disagreement_score":0.0037095854,"about_ca_system_score_codex":0.00036809067,"about_ca_system_score_gemma":0.000117226235,"threshold_uncertainty_score":0.014093697},"labels":[],"label_agreement":null},{"id":"W3125178110","doi":"10.1111/1911-3846.12127","title":"Understanding Cross‐Country Differences in Valuation Ratios: A Variance Decomposition Approach","year":2015,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hong Kong Polytechnic University","keywords":"Dividend; Valuation (finance); Earnings; Economics; Profitability index; Earnings growth; Financial economics; Econometrics; Variance decomposition of forecast errors; Accounting; Finance","score_opus":0.4396577026194565,"score_gpt":0.3636810737432214,"score_spread":0.07597662887623513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125178110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8942518,0.0009959496,0.09462843,0.00041513436,0.00006607785,0.000057496498,0.0008160289,0.00014484108,0.008624167],"genre_scores_gemma":[0.9939294,0.00015562435,0.0050326115,0.000024819927,0.000023922166,0.000020131096,0.00046518864,0.000016237396,0.00033198437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987626,0.0005948569,0.00008308404,0.0002138969,0.00019434717,0.00015122541],"domain_scores_gemma":[0.99199206,0.004763662,0.0015594506,0.0007134036,0.00082083634,0.00015064656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043067266,0.00042751324,0.00047434215,0.002786543,0.00025712163,0.0022012366,0.00035086749,0.0003506844,0.0018300017],"category_scores_gemma":[0.01347763,0.00020537824,0.000959596,0.0027881027,0.0004479952,0.0010638407,0.00086097204,0.000686144,0.00026389872],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017976899,0.00017217416,0.7783067,0.00008646914,0.0016972271,0.00052733085,0.001240981,0.03632588,0.0032142738,0.056036755,0.0030984,0.119113944],"study_design_scores_gemma":[0.000024133577,0.00017816933,0.7477672,0.00011526746,0.00036628798,0.00028881646,0.0014753321,0.19329727,0.0022899758,0.049178578,0.004942474,0.000076496704],"about_ca_topic_score_codex":0.00511894,"about_ca_topic_score_gemma":0.0026151438,"teacher_disagreement_score":0.00511894,"about_ca_system_score_codex":0.00047196035,"about_ca_system_score_gemma":0.00038275577,"threshold_uncertainty_score":0.022776484},"labels":[],"label_agreement":null},{"id":"W3125209868","doi":"10.1017/s0022109019000589","title":"Model Comparison with Sharpe Ratios","year":2019,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":154,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sharpe ratio; Portfolio; Econometrics; Ranking (information retrieval); Inference; Mathematics; Mean squared error; Economics; Measure (data warehouse); Statistics; Computer science; Financial economics; Artificial intelligence","score_opus":0.051967563072533425,"score_gpt":0.26316517048099997,"score_spread":0.21119760740846655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125209868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043344118,0.0018961068,0.9444682,0.0011262428,0.0002640634,0.00019091846,0.00093357015,0.0009981428,0.006778557],"genre_scores_gemma":[0.777811,0.0013978855,0.21365666,0.0008563103,0.0004422873,0.00057321804,0.0029015704,0.00058989134,0.0017711825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.96553093,0.02621503,0.0013421203,0.0026670792,0.0034827942,0.0007621129],"domain_scores_gemma":[0.7495435,0.21158536,0.008832664,0.022744963,0.0060885637,0.0012049727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.047214683,0.0023235306,0.0028536115,0.006657408,0.0011985016,0.0041241427,0.0033116639,0.0032873484,0.011435193],"category_scores_gemma":[0.28529498,0.0008221572,0.004288375,0.003124535,0.0029069963,0.0077675013,0.004950083,0.0049322178,0.0015198729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075872336,0.0002773628,0.013875029,0.0006933964,0.0021972025,0.00057086616,0.00038955593,0.4921527,0.0014097868,0.39719594,0.008825372,0.081654064],"study_design_scores_gemma":[0.00011864999,0.00043356692,0.0023865602,0.000089399044,0.00023593215,0.00027924156,0.0001322256,0.61814475,0.0014153555,0.3737513,0.0029281084,0.000084875246],"about_ca_topic_score_codex":0.0023178747,"about_ca_topic_score_gemma":0.0013520883,"teacher_disagreement_score":0.047214683,"about_ca_system_score_codex":0.0015815308,"about_ca_system_score_gemma":0.0017650462,"threshold_uncertainty_score":0.2496981},"labels":[],"label_agreement":null},{"id":"W3125212187","doi":"10.3386/w16534","title":"What Does Equity Sector Orderflow Tell Us about the Economy?","year":2010,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Equity (law); Economics; Monetary economics; Business; Financial system; Political science","score_opus":0.3504134745755488,"score_gpt":0.45876181247295894,"score_spread":0.10834833789741016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125212187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8889766,0.01761749,0.00910795,0.030975176,0.0004615396,0.000025292733,0.005559476,0.000111467,0.04716501],"genre_scores_gemma":[0.98549473,0.0095665185,0.0009399965,0.00080370886,0.0004137541,0.0000052499063,0.0012122391,0.00002417035,0.0015395241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976486,0.00007285015,0.000021889025,0.000045131994,0.000055761833,0.00003941693],"domain_scores_gemma":[0.99538594,0.0020118663,0.0015573624,0.0004658315,0.0003526367,0.00022635728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096775976,0.00026659528,0.00051513925,0.0014273124,0.00030049228,0.0034882727,0.00027739364,0.00092390174,0.00414739],"category_scores_gemma":[0.0116100935,0.00022191498,0.00038764198,0.0020752787,0.0010883269,0.008072489,0.0004738139,0.0010238654,0.0007686869],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007049333,0.00017669145,0.71620315,0.0003272798,0.0003168549,0.00042668032,0.0014467569,0.007455111,0.0021491318,0.08017576,0.013157201,0.17746045],"study_design_scores_gemma":[0.000049338032,0.00018256213,0.48498282,0.0003848767,0.00019077506,0.00068682135,0.003354807,0.022673734,0.0028447153,0.44952646,0.035026144,0.00009697226],"about_ca_topic_score_codex":0.004539804,"about_ca_topic_score_gemma":0.004554559,"teacher_disagreement_score":0.004539804,"about_ca_system_score_codex":0.0008499653,"about_ca_system_score_gemma":0.0005360071,"threshold_uncertainty_score":0.013874352},"labels":[],"label_agreement":null},{"id":"W3125218886","doi":"","title":"Is PIN Priced Risk","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Replicate; Stock (firearms); Earnings; Econometrics; Economics; Sample (material); Private information retrieval; Systematic risk; Financial economics; Monetary economics; Finance; Engineering; Mathematics; Statistics","score_opus":0.02110400664341492,"score_gpt":0.2024865763099532,"score_spread":0.1813825696665383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125218886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56472075,0.022924853,0.12556648,0.09080066,0.0019888321,0.000114816925,0.001565212,0.00054708926,0.19177139],"genre_scores_gemma":[0.98995435,0.0024790028,0.0012667594,0.0012561082,0.0012635862,0.000015309293,0.00011994472,0.000027010208,0.0036179107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982698,0.00028153043,0.00009416923,0.00050274405,0.0006037971,0.00024800494],"domain_scores_gemma":[0.9850765,0.0075657936,0.0044749407,0.0016348537,0.0007294927,0.0005184548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024450342,0.00039406793,0.0008804892,0.0011125506,0.0006282874,0.005759092,0.0011932362,0.003305511,0.010798525],"category_scores_gemma":[0.027334737,0.00035456428,0.00060960144,0.000994866,0.0034483694,0.008240017,0.0015164273,0.0027441932,0.0013129158],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032353066,0.00009915747,0.040650938,0.00029001266,0.00023561141,0.0016302243,0.0008064886,0.0051687188,0.001150312,0.8428768,0.010001306,0.09676681],"study_design_scores_gemma":[0.000041056304,0.00008865312,0.0109748645,0.000095969204,0.00007618973,0.001335243,0.00026753926,0.008142856,0.0006188206,0.9666217,0.011685658,0.000051377923],"about_ca_topic_score_codex":0.0007373671,"about_ca_topic_score_gemma":0.0002534092,"teacher_disagreement_score":0.010798525,"about_ca_system_score_codex":0.0010533645,"about_ca_system_score_gemma":0.00049139926,"threshold_uncertainty_score":0.036124647},"labels":[],"label_agreement":null},{"id":"W3125222069","doi":"10.1111/jofi.12969","title":"Every Cloud Has a Silver Lining: Fast Trading, Microwave Connectivity, and Trading Costs","year":2020,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":169,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Social Sciences and Humanities Research Council; Wilfrid Laurier University","funders":"","keywords":"Market liquidity; High-frequency trading; Cloud computing; Monetary economics; Microwave; Term (time); Trading strategy; Selection (genetic algorithm); Economics; Business; Econometrics; Industrial organization; Computer science; Telecommunications","score_opus":0.05883869702497976,"score_gpt":0.2208839771075182,"score_spread":0.16204528008253843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125222069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962351,0.00019117323,0.0007090085,0.00045649993,0.000015686797,0.000003654973,0.00005488185,0.000003911529,0.002330224],"genre_scores_gemma":[0.9996774,0.000052631283,0.000071243805,0.000021276543,0.000015119521,0.000001109053,0.000013411502,0.0000013894544,0.000146407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998356,0.000046953497,0.000009256896,0.000026745362,0.000030662773,0.000050716666],"domain_scores_gemma":[0.9942021,0.00287362,0.0021339315,0.00020119469,0.00018584447,0.00040331815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040219352,0.00017770023,0.0002821909,0.00036146236,0.0005558896,0.0017388279,0.00037829226,0.00058100134,0.0042979345],"category_scores_gemma":[0.0043705953,0.00013416506,0.00017604847,0.00054074323,0.0009510534,0.0012051096,0.00053153903,0.0008547051,0.00010561814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030012613,0.0014064938,0.73040044,0.0002955747,0.0004667784,0.002055553,0.000598369,0.13044745,0.014897886,0.071322694,0.0063723056,0.038735215],"study_design_scores_gemma":[0.00028929906,0.0007358449,0.7224771,0.00007681923,0.00050629425,0.00084671134,0.002622424,0.17101951,0.006217577,0.09071076,0.004367307,0.0001303083],"about_ca_topic_score_codex":0.0043118657,"about_ca_topic_score_gemma":0.0032094717,"teacher_disagreement_score":0.0043118657,"about_ca_system_score_codex":0.00051537005,"about_ca_system_score_gemma":0.00030065363,"threshold_uncertainty_score":0.014378071},"labels":[],"label_agreement":null},{"id":"W3125239338","doi":"10.1016/j.jfineco.2015.11.005","title":"Information tradeoffs in dynamic financial markets","year":2016,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Dividend; Private information retrieval; Financial market; Economics; Information asymmetry; Financial economics; Monetary economics; Business; Microeconomics; Finance; Computer science","score_opus":0.011241922651323701,"score_gpt":0.1882825992642633,"score_spread":0.1770406766129396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125239338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70272523,0.005869366,0.20990275,0.02333238,0.00028277532,0.0001627875,0.0007033309,0.00028901565,0.05673233],"genre_scores_gemma":[0.9892202,0.0010333944,0.0058141546,0.00032897107,0.00016154835,0.00004052919,0.00007799015,0.000030138506,0.0032930053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99682367,0.0017715746,0.00015382536,0.00039066502,0.0004838804,0.00037644163],"domain_scores_gemma":[0.90502363,0.083707094,0.0054694535,0.0020576299,0.0017207165,0.0020214661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010431354,0.00073511736,0.0019763242,0.0016144272,0.0011769062,0.007853221,0.0017313599,0.005356036,0.008654256],"category_scores_gemma":[0.0809922,0.0014619179,0.0008033025,0.0013567074,0.0033171803,0.013873495,0.00211115,0.0037709593,0.00050351216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072495826,0.00024483787,0.0031998039,0.00022157724,0.00014884863,0.00059544307,0.0005484934,0.15494476,0.0011724707,0.8119927,0.0043027056,0.021903502],"study_design_scores_gemma":[0.00013349862,0.000097650496,0.0011973343,0.00003810673,0.000043344913,0.0001709461,0.0001854693,0.18879075,0.00018950886,0.8080702,0.0010323182,0.000050779738],"about_ca_topic_score_codex":0.0012701832,"about_ca_topic_score_gemma":0.00076676207,"teacher_disagreement_score":0.010431354,"about_ca_system_score_codex":0.0022967337,"about_ca_system_score_gemma":0.0009730226,"threshold_uncertainty_score":0.0551669},"labels":[],"label_agreement":null},{"id":"W3125251056","doi":"10.2139/ssrn.3211344","title":"Selective Pump-and-Dump: The Manipulation of Their Top Holdings by Chinese Mutual Funds Around Quarter Ends","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Finance; Geography","score_opus":0.012254714986913284,"score_gpt":0.21129290746867405,"score_spread":0.19903819248176077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125251056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99669707,0.000065783905,0.00015695907,0.00020811435,0.000007081223,0.0000038033336,0.0000785639,0.000010703908,0.0027719445],"genre_scores_gemma":[0.99956447,0.000015338583,0.000023975132,0.000016907105,0.0000053345616,0.0000017054948,0.00002747583,0.0000016817269,0.0003430775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996475,0.0000606319,0.000018842937,0.00006414757,0.00006235917,0.00014654917],"domain_scores_gemma":[0.9953772,0.001125774,0.0020637184,0.00032976805,0.00043825313,0.0006653307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010220035,0.00010174513,0.00030437525,0.0010188925,0.0008418189,0.0014591487,0.00046175395,0.00057681237,0.0032743036],"category_scores_gemma":[0.0074152104,0.0001550214,0.00015669821,0.0010291355,0.0006200984,0.00089507987,0.0010724973,0.00052392075,0.00032335232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012534643,0.00011181529,0.92942643,0.00005779178,0.00016635488,0.0007354825,0.0054034675,0.001916992,0.006673489,0.009970832,0.005184685,0.039099183],"study_design_scores_gemma":[0.00002066768,0.00009059233,0.987275,0.000013464295,0.000077711215,0.00005757449,0.0030754707,0.004239629,0.0010325013,0.0020861905,0.002008388,0.000022821187],"about_ca_topic_score_codex":0.012412054,"about_ca_topic_score_gemma":0.013746723,"teacher_disagreement_score":0.012412054,"about_ca_system_score_codex":0.0009508994,"about_ca_system_score_gemma":0.00063588086,"threshold_uncertainty_score":0.024679601},"labels":[],"label_agreement":null},{"id":"W3125275455","doi":"10.1111/1540-6261.00539","title":"The Value Spread","year":2003,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":504,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Econometrics; Economics; Value premium; Profitability index; Valuation (finance); Contrast (vision); Variance (accounting); Statistics; Financial economics; Mathematics; Capital asset pricing model; Computer science","score_opus":0.02433803233026767,"score_gpt":0.20893139704915034,"score_spread":0.18459336471888266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125275455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9429532,0.0018925978,0.01801378,0.00064713997,0.00006759992,0.00001978289,0.0010350379,0.000091702685,0.035279177],"genre_scores_gemma":[0.9972256,0.00022276383,0.0005534939,0.000023253911,0.000047012065,0.00000554745,0.00027734195,0.000007972315,0.0016371215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977046,0.00003880993,0.000016035838,0.00007461038,0.00007100178,0.000029036262],"domain_scores_gemma":[0.99647635,0.001700977,0.00084590603,0.00033020717,0.00044962976,0.00019699715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058902014,0.00021154381,0.00022458719,0.0012610645,0.00017006363,0.0015700528,0.0002761292,0.0005986302,0.008694863],"category_scores_gemma":[0.007628884,0.000121215606,0.00015730046,0.00086520286,0.0004014552,0.0018952226,0.00062336336,0.0005500268,0.0010933783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045569576,0.00031393435,0.36035153,0.00014984391,0.00042710052,0.001132648,0.0012396306,0.055064876,0.018760504,0.31270403,0.010234015,0.23916623],"study_design_scores_gemma":[0.000041312982,0.0001929667,0.5017232,0.00011775901,0.0001096281,0.0019220331,0.0007803504,0.11530759,0.0072932714,0.35491878,0.017486388,0.0001067475],"about_ca_topic_score_codex":0.000581495,"about_ca_topic_score_gemma":0.00022108182,"teacher_disagreement_score":0.008694863,"about_ca_system_score_codex":0.00035737533,"about_ca_system_score_gemma":0.00013047548,"threshold_uncertainty_score":0.029087186},"labels":[],"label_agreement":null},{"id":"W3125285280","doi":"10.2139/ssrn.3209658","title":"Liquidity Supply and Demand in the Corporate Bond Market","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Market liquidity; Business; Corporate bond; Supply and demand; Financial system; Bond market; Monetary economics; Bond; Finance; Economics; Microeconomics","score_opus":0.02208849483044264,"score_gpt":0.20689806452298332,"score_spread":0.18480956969254067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125285280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912868,0.0006227881,0.0013527558,0.0024121276,0.00001206169,0.000005504582,0.0002994931,0.000023566372,0.0039848345],"genre_scores_gemma":[0.99816954,0.00013285027,0.00007334709,0.00005418213,0.0000384512,0.00000361079,0.0001067378,0.0000067564733,0.001414552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997892,0.000075726566,0.000016039563,0.00003044802,0.000032710755,0.00005589342],"domain_scores_gemma":[0.9892942,0.008292833,0.0011203527,0.00015167677,0.00046133506,0.0006796034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009898188,0.00021092067,0.00059745467,0.00062269863,0.0004716885,0.002910916,0.0005237777,0.0019189762,0.008531611],"category_scores_gemma":[0.010436125,0.00055076595,0.0003037485,0.0005027458,0.0009048234,0.003346989,0.0006715953,0.0016618083,0.0010346723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012069406,0.001672998,0.46839967,0.00080752245,0.00046045042,0.0053831777,0.0048866225,0.1189272,0.034981485,0.28954595,0.01646939,0.04639614],"study_design_scores_gemma":[0.0009624666,0.00066444936,0.30006805,0.000117578544,0.00033567124,0.00088863436,0.004813648,0.3797476,0.0033561215,0.30532634,0.003525941,0.00019352141],"about_ca_topic_score_codex":0.003972457,"about_ca_topic_score_gemma":0.0034552324,"teacher_disagreement_score":0.008531611,"about_ca_system_score_codex":0.0008459101,"about_ca_system_score_gemma":0.00039825012,"threshold_uncertainty_score":0.028541028},"labels":[],"label_agreement":null},{"id":"W3125291423","doi":"10.2139/ssrn.3405316","title":"Looking under the Hood of Active Credit Managers","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Business; Hedge fund; Global assets under management; Credit risk; Credit history; Equity (law); Credit rating; Credit reference; Finance; Passive management; Credit default swap index; Credit valuation adjustment; Actuarial science; Institutional investor; Corporate governance","score_opus":0.010317271450903139,"score_gpt":0.1956311293246006,"score_spread":0.18531385787369747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125291423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45851168,0.0052929856,0.014744638,0.34156677,0.002870439,0.00007077645,0.0003445591,0.00021426781,0.17638385],"genre_scores_gemma":[0.9481836,0.001095872,0.002073192,0.01675348,0.0009987763,0.000019714882,0.00007248195,0.000055884644,0.03074692],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984785,0.00064638024,0.000038830258,0.00022481193,0.00024149135,0.0003700315],"domain_scores_gemma":[0.98738164,0.003234362,0.0027344942,0.0007634744,0.001528687,0.0043573603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004252787,0.0002589493,0.00035949406,0.0008519941,0.0031754375,0.0066226637,0.0006403728,0.0032560222,0.024798714],"category_scores_gemma":[0.022703135,0.00026222982,0.00024162067,0.00068854605,0.0029943106,0.0074928403,0.0017502727,0.004468558,0.0029375805],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012466639,0.00043251307,0.15796459,0.00024342159,0.00013278674,0.0016957901,0.01598448,0.00077457627,0.0028969746,0.24850556,0.27140266,0.29871994],"study_design_scores_gemma":[0.00023128264,0.0007374546,0.11238699,0.00095879537,0.00019038413,0.0019396674,0.06721405,0.0071266848,0.002389825,0.5411729,0.26538667,0.00026531372],"about_ca_topic_score_codex":0.0034585043,"about_ca_topic_score_gemma":0.0063927895,"teacher_disagreement_score":0.024798714,"about_ca_system_score_codex":0.0011113876,"about_ca_system_score_gemma":0.0017772755,"threshold_uncertainty_score":0.08296001},"labels":[],"label_agreement":null},{"id":"W3125297787","doi":"10.2139/ssrn.669942","title":"Stock and Bond Market Liquidity: A Long-Run Empirical Analysis","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Market liquidity; Bond; Stock market; Stock (firearms); Monetary economics; Bond market; Business; Financial system; Financial economics; Economics; Finance; Materials science; Geography","score_opus":0.021961479247451336,"score_gpt":0.24987163235289594,"score_spread":0.2279101531054446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125297787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99564373,0.002051348,0.0006428833,0.00044949667,0.000012360468,0.000008298774,0.0003515803,0.00002069091,0.0008195097],"genre_scores_gemma":[0.9966241,0.000618709,0.00017141829,0.000051284926,0.000087681416,0.000009420313,0.0008261952,0.000013280248,0.0015979778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956733,0.00012740378,0.00003269785,0.000092083385,0.00007129835,0.00010926562],"domain_scores_gemma":[0.98339474,0.011090428,0.0026226582,0.0005523463,0.0009247242,0.0014151547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037920107,0.00061000517,0.001086247,0.0016864626,0.0008000588,0.0024634872,0.0012661399,0.0017377391,0.006408119],"category_scores_gemma":[0.0120287975,0.00043188423,0.0016993597,0.001542957,0.0013210311,0.0031305235,0.0013149875,0.0026556486,0.001095548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041366485,0.0013096468,0.931031,0.00019680659,0.0015330288,0.001864401,0.0009866683,0.017111512,0.0022623823,0.006816532,0.0034403855,0.029310998],"study_design_scores_gemma":[0.00037780125,0.0017550498,0.8849299,0.00012778888,0.0020736568,0.0010887915,0.0014653995,0.09536236,0.0010816355,0.008789225,0.0028413907,0.000106913554],"about_ca_topic_score_codex":0.0067720795,"about_ca_topic_score_gemma":0.008861022,"teacher_disagreement_score":0.0067720795,"about_ca_system_score_codex":0.0008876117,"about_ca_system_score_gemma":0.000686314,"threshold_uncertainty_score":0.021437287},"labels":[],"label_agreement":null},{"id":"W3125330529","doi":"","title":"Cross-Border Listings and Price Discovery: Evidence from U.S.-Listed Canadian Stocks","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Price discovery; Stock exchange; Cross listing; Sample (material); Business; Share price; Monetary economics; Financial economics; Economics; Stock (firearms); Stock price; Finance; Geography; Corporate governance","score_opus":0.018084067573599094,"score_gpt":0.2631091169090325,"score_spread":0.2450250493354334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125330529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951763,0.0008455194,0.00007703734,0.00033321526,0.000008766469,0.000012110668,0.0016751969,0.0000086981245,0.0018632053],"genre_scores_gemma":[0.996309,0.000537281,0.00007502366,0.00006206496,0.000016303427,0.000004356211,0.0023823858,0.000004697259,0.0006087866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809223,0.00011150279,0.00014187858,0.00023241506,0.0009204712,0.0005015373],"domain_scores_gemma":[0.97168434,0.004785813,0.014146816,0.0011604803,0.0059139044,0.0023087075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016694734,0.00038315824,0.00054663874,0.0050871903,0.0029830206,0.002182001,0.0012543233,0.00090995245,0.0029250681],"category_scores_gemma":[0.017264843,0.00037460006,0.00048609663,0.01084807,0.0014831066,0.00092714425,0.0016505664,0.0008516236,0.00028201094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009712021,0.000028557266,0.99291754,0.000022408483,0.00008687743,0.00017013589,0.0008634562,0.00017233637,0.00014291902,0.00019665896,0.0009234152,0.0043785735],"study_design_scores_gemma":[0.0000075576895,0.000012489624,0.99794596,0.000010956511,0.00004100528,0.000079446334,0.0005698444,0.00037676288,0.00013709145,0.000040622323,0.0007632047,0.000015023483],"about_ca_topic_score_codex":0.9475672,"about_ca_topic_score_gemma":0.96736443,"teacher_disagreement_score":0.9475672,"about_ca_system_score_codex":0.008426979,"about_ca_system_score_gemma":0.0068266666,"threshold_uncertainty_score":0.105483055},"labels":[],"label_agreement":null},{"id":"W3125334144","doi":"10.1016/j.jfineco.2018.07.002","title":"Regulating dark trading: Order flow segmentation and market quality","year":2018,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dark liquidity; Market liquidity; Intermediation; Business; Order (exchange); Intermediary; High-frequency trading; Revenue; Monetary economics; Market maker; Liquidity crisis; Market segmentation; Economics; Finance; Marketing","score_opus":0.03545596415784045,"score_gpt":0.24767165168843133,"score_spread":0.2122156875305909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125334144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97923446,0.0002468563,0.011953095,0.00044164897,0.00004503229,0.000015721376,0.00008046331,0.0001067905,0.007875879],"genre_scores_gemma":[0.9985631,0.00003616131,0.00073264167,0.000055555396,0.00001566202,0.0000027904268,0.000025920779,0.000029188546,0.0005390468],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99947387,0.00012406746,0.00003325866,0.00012546302,0.000101076825,0.00014237054],"domain_scores_gemma":[0.9939029,0.002410376,0.00143216,0.00072428014,0.0005099078,0.0010203405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013155564,0.0002123724,0.0004714356,0.0005353749,0.00039884375,0.0036518066,0.00044999804,0.00068137463,0.0053509376],"category_scores_gemma":[0.008852739,0.0003289554,0.00025550314,0.00036709578,0.0010286494,0.0023393198,0.0010047575,0.00091805804,0.0004980248],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0067343367,0.0026803478,0.13934061,0.00035866143,0.0005012186,0.0005290582,0.0026499673,0.04086344,0.44821724,0.20713232,0.0064080185,0.14458485],"study_design_scores_gemma":[0.00083496544,0.0011728144,0.34557176,0.000111434725,0.00026980723,0.00030398899,0.0014147301,0.274811,0.065265566,0.30365264,0.00642575,0.00016553655],"about_ca_topic_score_codex":0.0009288476,"about_ca_topic_score_gemma":0.0012086637,"teacher_disagreement_score":0.0053509376,"about_ca_system_score_codex":0.0008702182,"about_ca_system_score_gemma":0.0006502663,"threshold_uncertainty_score":0.017900705},"labels":[],"label_agreement":null},{"id":"W3125350412","doi":"","title":"Asset Pricing with Conditioning Information: A New Test","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital asset pricing model; Stochastic discount factor; Econometrics; Nonparametric statistics; Economics; Sharpe ratio; Test (biology); Factor analysis; Risk premium; Financial economics; Actuarial science; Portfolio","score_opus":0.00993257275061819,"score_gpt":0.186653488319742,"score_spread":0.1767209155691238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125350412","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25288424,0.00073119404,0.7244199,0.0024719432,0.00053321634,0.0003273008,0.0019495747,0.0014552997,0.0152272545],"genre_scores_gemma":[0.93478143,0.00024193141,0.060234644,0.0005712117,0.00064684,0.00030748494,0.0014605895,0.00014316215,0.0016127075],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9785679,0.011068303,0.0010090682,0.003801632,0.00464932,0.00090369943],"domain_scores_gemma":[0.68465036,0.28561947,0.010032234,0.013555235,0.0037076122,0.0024350618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022000283,0.0013946374,0.0025991534,0.0036772387,0.00084454985,0.0030898403,0.004101349,0.0031466954,0.014565724],"category_scores_gemma":[0.20237553,0.0005456065,0.0018158609,0.0035708281,0.0040463572,0.008500064,0.0031976523,0.0046173,0.0010313026],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002182358,0.0014951526,0.21691953,0.0005715562,0.0036554278,0.0013925129,0.0006550334,0.10192353,0.0027377221,0.31386673,0.011621457,0.34297907],"study_design_scores_gemma":[0.00042145248,0.0011803752,0.025223859,0.00009226995,0.0003494504,0.00062373193,0.0001710643,0.79777724,0.0014617214,0.16813082,0.004424394,0.00014367151],"about_ca_topic_score_codex":0.0014370375,"about_ca_topic_score_gemma":0.0005406943,"teacher_disagreement_score":0.022000283,"about_ca_system_score_codex":0.00092792773,"about_ca_system_score_gemma":0.0018125189,"threshold_uncertainty_score":0.116349995},"labels":[],"label_agreement":null},{"id":"W3125370215","doi":"","title":"Return predictability and stock market crashes in a simple rational expectations model","year":2005,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Universität Konstanz","keywords":"Predictability; Stock market; Econometrics; Financial economics; Economics; Rational expectations; Stock (firearms); Mathematics; Statistics; Engineering; Geography","score_opus":0.041156194375309436,"score_gpt":0.2807514153088156,"score_spread":0.23959522093350616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125370215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6989886,0.0016087303,0.2624367,0.007438112,0.00017012923,0.00009874412,0.00054079643,0.0005814173,0.028136771],"genre_scores_gemma":[0.9922646,0.00041565072,0.00239037,0.00013552484,0.0000860198,0.000031946016,0.000091291105,0.000023248846,0.004561377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934703,0.00023378586,0.000044260993,0.00009644283,0.00013475848,0.00014372873],"domain_scores_gemma":[0.99605227,0.0022391719,0.0009676674,0.00019125028,0.0003003079,0.00024922367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022651162,0.00094423036,0.0014629163,0.00082927354,0.0005356769,0.0025838162,0.0014311594,0.0025274819,0.0036733553],"category_scores_gemma":[0.010309793,0.0006109451,0.000934837,0.0005980577,0.001418766,0.0036929338,0.0013055874,0.0019459641,0.0005537384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002656955,0.00014837243,0.0065648984,0.00007479649,0.0001234826,0.0016141203,0.0004529495,0.5975463,0.0013381554,0.38144228,0.0022810826,0.0081479335],"study_design_scores_gemma":[0.00007229101,0.000047260455,0.0010192776,0.000009578587,0.000027055356,0.00010653986,0.00003876126,0.86068076,0.000103262566,0.1375685,0.00029458117,0.000032080752],"about_ca_topic_score_codex":0.008878405,"about_ca_topic_score_gemma":0.0023161154,"teacher_disagreement_score":0.008878405,"about_ca_system_score_codex":0.0010296529,"about_ca_system_score_gemma":0.0007006871,"threshold_uncertainty_score":0.017653465},"labels":[],"label_agreement":null},{"id":"W3125378264","doi":"10.5267/j.msl.2012.04.001","title":"A study of the effects of company size on systematic risk based on the capital asset pricing model among accepted companies in Tehran Stock Market ,","year":2012,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Business; Systematic risk; Stock market; Stock (firearms); Consumption-based capital asset pricing model; Financial economics; Finance; Economics","score_opus":0.0186821164366867,"score_gpt":0.20766588983343945,"score_spread":0.18898377339675276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125378264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99900407,0.000060291237,0.00052494026,0.00009776206,0.0000040479567,0.000009226573,0.000023333138,0.0000028756701,0.00027339428],"genre_scores_gemma":[0.9994634,0.00005502778,0.00018655343,0.000009304616,0.000007812127,0.000005014736,0.000056136654,0.000001218021,0.00021550411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920017,0.00035061725,0.000043423614,0.00012012512,0.00015772179,0.00012795816],"domain_scores_gemma":[0.9862487,0.0102637755,0.0018719983,0.0004270794,0.0006146927,0.0005739155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032817118,0.0005513405,0.00040578088,0.0010328084,0.00034915638,0.0008032607,0.0005696711,0.00051267137,0.002074076],"category_scores_gemma":[0.010101928,0.00020714942,0.0010249037,0.00056476216,0.00047806615,0.0010600887,0.00047045317,0.00090786925,0.0002511025],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018233075,0.00024490122,0.98850024,0.000014327398,0.00015486273,0.0003363332,0.000415362,0.003169295,0.0004062582,0.0005526695,0.00017165641,0.0058517368],"study_design_scores_gemma":[0.000026726766,0.0010027117,0.92717785,0.00001646362,0.00021909039,0.0003700281,0.00065293384,0.068730935,0.00055554794,0.0009747632,0.0002525628,0.00002048876],"about_ca_topic_score_codex":0.0049397685,"about_ca_topic_score_gemma":0.0044588596,"teacher_disagreement_score":0.0049397685,"about_ca_system_score_codex":0.0005324886,"about_ca_system_score_gemma":0.00063506654,"threshold_uncertainty_score":0.017355561},"labels":[],"label_agreement":null},{"id":"W3125388190","doi":"10.1057/palgrave.dutr.1840004","title":"Trading on the information content of open interest: Evidence from the US equity options market","year":2005,"lang":"en","type":"article","venue":"Derivatives Use Trading &#38 Regulation","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Financial economics; Volatility (finance); Economics; Portfolio; Equity (law); Stock exchange; Trading strategy; Algorithmic trading; Price discovery; Market maker; Stock (firearms); Investment strategy; Stock market; Business; Econometrics; Monetary economics; Market liquidity; Finance; Futures contract","score_opus":0.28357852319463905,"score_gpt":0.29846717372693193,"score_spread":0.01488865053229288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125388190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97676295,0.0021168545,0.00053127017,0.0022028205,0.000020857833,0.00001387195,0.00048191973,0.000014283441,0.017855257],"genre_scores_gemma":[0.99756026,0.0009696617,0.00010084011,0.00017841646,0.000052491876,0.0000034182417,0.000305935,0.0000066024513,0.0008223164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989999,0.0003239875,0.00008153116,0.000099542296,0.00040060357,0.000094372546],"domain_scores_gemma":[0.9250982,0.056137156,0.01203363,0.0027222768,0.002667216,0.0013414854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026005432,0.00025851218,0.00052564824,0.0011194182,0.00056980364,0.0027579896,0.00068123377,0.0013881094,0.008378254],"category_scores_gemma":[0.034575313,0.00034249108,0.00031837844,0.0013600367,0.0018599506,0.0040064747,0.0012282045,0.0016654695,0.0008621875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011670856,0.002952645,0.70889616,0.00060192985,0.0012479991,0.001638751,0.0036151316,0.008501262,0.007806846,0.062975876,0.012642869,0.17744976],"study_design_scores_gemma":[0.00076236174,0.0007504461,0.9040933,0.00022002813,0.00082442234,0.00067349477,0.0019320467,0.013294931,0.0052766684,0.05576941,0.016260764,0.00014225334],"about_ca_topic_score_codex":0.0070926133,"about_ca_topic_score_gemma":0.005343745,"teacher_disagreement_score":0.008378254,"about_ca_system_score_codex":0.0005503758,"about_ca_system_score_gemma":0.00039362456,"threshold_uncertainty_score":0.02802807},"labels":[],"label_agreement":null},{"id":"W3125390872","doi":"","title":"The demographics of fund turnover","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Demographics; Business; Mutual fund; Turnover; Inventory turnover; Finance; Manager of managers fund; Fund administration; Income fund; Demographic economics; Investment fund; Economics; Management","score_opus":0.05739426772943617,"score_gpt":0.290018934026341,"score_spread":0.23262466629690481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125390872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962509,0.00031351665,0.00017913454,0.00030189645,0.000010439218,0.0000059943845,0.0002727493,0.000004270272,0.0026611113],"genre_scores_gemma":[0.9991874,0.00019216577,0.000055772267,0.000033214455,0.00002374079,0.000004644576,0.00014142899,0.0000024912486,0.00035911048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995492,0.00015722834,0.000047829577,0.000048333,0.00010342072,0.000093958595],"domain_scores_gemma":[0.9949055,0.0009507818,0.0026586682,0.00015934394,0.00048811655,0.00083759293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008722965,0.000058811427,0.00010882674,0.0009302243,0.0003370492,0.0007787017,0.0001440398,0.00024121301,0.0030816537],"category_scores_gemma":[0.008588672,0.00007692873,0.000097343865,0.0005580726,0.00022900941,0.0006761173,0.00048969814,0.00026214033,0.0005765131],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005617046,0.000024863573,0.98909587,0.000007107769,0.0000101946525,0.000063868,0.0006614765,0.0000734908,0.00015183377,0.0002857712,0.0006362504,0.008933051],"study_design_scores_gemma":[0.0000015952882,0.000030684005,0.9968106,0.000010702381,0.0000047796457,0.00024467934,0.0010982109,0.00018353602,0.00005918186,0.00022456251,0.0013260003,0.000005326398],"about_ca_topic_score_codex":0.0028359147,"about_ca_topic_score_gemma":0.0037704955,"teacher_disagreement_score":0.0030816537,"about_ca_system_score_codex":0.00031308946,"about_ca_system_score_gemma":0.00025011567,"threshold_uncertainty_score":0.01030916},"labels":[],"label_agreement":null},{"id":"W3125404604","doi":"10.1111/j.1540-6261.2005.00742.x","title":"The Stock Market's Reaction to Unemployment News: Why Bad News Is Usually Good for Stocks","year":2005,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":821,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Earnings; Dividend; Economics; Equity (law); Unemployment; Monetary economics; Stock market; Stock (firearms); Financial economics; Finance; Macroeconomics","score_opus":0.03216874214285095,"score_gpt":0.24723990314255098,"score_spread":0.21507116099970003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125404604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840927,0.0022465119,0.0003487231,0.0051523736,0.00018391354,0.00001304465,0.00040339076,0.000021536936,0.0075378595],"genre_scores_gemma":[0.9983424,0.0004578649,0.000056346926,0.00031285058,0.00018678811,0.000002584122,0.00011717943,0.000006740214,0.00051733304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993561,0.00016297778,0.00007112086,0.00009837647,0.00019482388,0.000116711366],"domain_scores_gemma":[0.97703815,0.01070682,0.007999178,0.0006555755,0.0021402615,0.0014599734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021491242,0.00015180357,0.00046103817,0.001225739,0.00047376673,0.0026640885,0.00025665187,0.0015071328,0.0048678056],"category_scores_gemma":[0.029772885,0.00027800418,0.0002217094,0.0010807166,0.0005772567,0.0015381118,0.00044668632,0.0009970564,0.00078589807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020286536,0.0002365187,0.9299948,0.0001714896,0.0003404437,0.0004592875,0.0014636688,0.0014629294,0.00453401,0.0025438585,0.0063845282,0.050379887],"study_design_scores_gemma":[0.00005225169,0.0001525505,0.99084365,0.000046757465,0.000111401714,0.00014213711,0.0011056932,0.0018768479,0.00090744987,0.0024956074,0.0022312335,0.000034463643],"about_ca_topic_score_codex":0.007567147,"about_ca_topic_score_gemma":0.006293664,"teacher_disagreement_score":0.007567147,"about_ca_system_score_codex":0.00060056016,"about_ca_system_score_gemma":0.00021760998,"threshold_uncertainty_score":0.016284406},"labels":[],"label_agreement":null},{"id":"W3125448943","doi":"10.2308/accr.2010.85.3.817","title":"Information and the Cost of Capital: An Ex Ante Perspective","year":2010,"lang":"en","type":"article","venue":"The Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cost of capital; Ex-ante; Economics; Capital cost; Microeconomics; Offset (computer science); Marginal cost of capital schedule; Capital (architecture); Framing (construction); Incentive; Private information retrieval; Physical capital; Business; Monetary economics; Financial capital; Capital formation; Human capital; Profit (economics); Macroeconomics; Computer science","score_opus":0.016946820673722385,"score_gpt":0.23401268876229245,"score_spread":0.21706586808857006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125448943","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27590883,0.077897735,0.18288809,0.06518288,0.0013223873,0.00015471327,0.0010816937,0.00010999845,0.39545366],"genre_scores_gemma":[0.9707643,0.015527998,0.0037106115,0.00064931234,0.00076134154,0.00003669533,0.00006770553,0.000013378803,0.00846873],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99878746,0.00043734958,0.00006264501,0.00015627319,0.00037631663,0.00017997794],"domain_scores_gemma":[0.98975384,0.006482522,0.0021236388,0.0005703186,0.0009035488,0.00016612158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001970207,0.0006050155,0.0006366343,0.0010787232,0.00049385964,0.0047508106,0.0010268531,0.002582993,0.008322293],"category_scores_gemma":[0.006430771,0.00035047435,0.0005672265,0.0012385094,0.0023327477,0.0063503506,0.00089173525,0.0027153883,0.000496978],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011563834,0.00014795277,0.0020009908,0.0002847163,0.00008546321,0.0002500629,0.00006676072,0.032923188,0.000780685,0.9452468,0.0025695434,0.015528204],"study_design_scores_gemma":[0.00004685982,0.00018406805,0.0053111566,0.00042556692,0.00013164063,0.0004606481,0.0002027914,0.048875134,0.0026873888,0.9255719,0.016030803,0.00007199655],"about_ca_topic_score_codex":0.001503928,"about_ca_topic_score_gemma":0.0011820868,"teacher_disagreement_score":0.008322293,"about_ca_system_score_codex":0.0036691676,"about_ca_system_score_gemma":0.0011436058,"threshold_uncertainty_score":0.027840853},"labels":[],"label_agreement":null},{"id":"W3125450452","doi":"10.1111/j.1540-6261.2007.01253.x","title":"Lazy Investors, Discretionary Consumption, and the Cross‐Section of Stock Returns","year":2007,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":340,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Capital asset pricing model; Economics; Stock (firearms); Consumption (sociology); Financial economics; Econometrics; Point (geometry); Quarter (Canadian coin); Suspect; Investment (military); Monetary economics; Mathematics; Engineering","score_opus":0.030043380080486286,"score_gpt":0.24416102810846363,"score_spread":0.21411764802797734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125450452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979482,0.00026454806,0.0005495222,0.00019671058,0.0000057278235,0.0000032074765,0.00007623912,0.000009577062,0.0009462697],"genre_scores_gemma":[0.9992766,0.00008304962,0.00005690361,0.00001569059,0.000015638334,0.0000015840542,0.000085208616,0.0000021285837,0.00046322308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999744,0.00006756262,0.000025591742,0.000048825208,0.000047371963,0.00006665384],"domain_scores_gemma":[0.9823309,0.007993439,0.0063723885,0.0011667362,0.00059217325,0.001544372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018569583,0.00024190787,0.00038263173,0.000925046,0.00026659784,0.0016045131,0.00032022866,0.00066098745,0.0037427575],"category_scores_gemma":[0.011431258,0.00019457143,0.0002889068,0.00076752895,0.0006450016,0.0011179876,0.00068640034,0.0007861333,0.00041639167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020021871,0.000091464484,0.9867851,0.00001029636,0.00014932,0.00019092855,0.00010523271,0.003567595,0.00045262076,0.0026699216,0.00031936297,0.005457845],"study_design_scores_gemma":[0.000024395378,0.000103710765,0.9676981,0.000014536907,0.000083761646,0.00018678837,0.00021626912,0.021795949,0.00054930506,0.008873983,0.0004325331,0.000020766676],"about_ca_topic_score_codex":0.004709939,"about_ca_topic_score_gemma":0.0034538896,"teacher_disagreement_score":0.004709939,"about_ca_system_score_codex":0.00054560835,"about_ca_system_score_gemma":0.00024403915,"threshold_uncertainty_score":0.01252079},"labels":[],"label_agreement":null},{"id":"W3125454310","doi":"","title":"Multiscale Analysis of International Linkages of REIT Returns and Volatilities","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Volatility (finance); Econometrics; Economics; Linkage (software); Diversification (marketing strategy); Real estate investment trust; Portfolio; Financial economics; Spillover effect; Emerging markets; Business; Real estate; Finance; Microeconomics","score_opus":0.015662251461646043,"score_gpt":0.22143174676658242,"score_spread":0.20576949530493638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125454310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9370989,0.00032559165,0.055951603,0.00016158017,0.000025023817,0.000016950282,0.00026112396,0.00009618864,0.006062982],"genre_scores_gemma":[0.99709535,0.00010056182,0.0022254398,0.000007824703,0.000012157732,0.0000041941657,0.000091031376,0.000012281597,0.00045119855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998567,0.000023975968,0.0000100986645,0.00003634276,0.000037337828,0.000035562727],"domain_scores_gemma":[0.9991855,0.00021467387,0.0003237305,0.000092893744,0.00012455309,0.00005859193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057404896,0.00023783113,0.00024745453,0.0016384872,0.0001516265,0.00096822536,0.00022796112,0.00028372696,0.0022154462],"category_scores_gemma":[0.003211533,0.00012827567,0.00032100503,0.0013290169,0.000254838,0.0013442982,0.0005826853,0.00041277806,0.00017773989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005728248,0.00018023617,0.2775298,0.00029665817,0.00058231433,0.0032250544,0.0016889182,0.1981335,0.06518978,0.18311141,0.0031356304,0.26635385],"study_design_scores_gemma":[0.000014312564,0.00013836152,0.43467847,0.000036625388,0.00012390953,0.00053912617,0.0006960104,0.52190787,0.005757929,0.031659156,0.004384457,0.0000637845],"about_ca_topic_score_codex":0.0011463194,"about_ca_topic_score_gemma":0.0007236045,"teacher_disagreement_score":0.0022154462,"about_ca_system_score_codex":0.00021566998,"about_ca_system_score_gemma":0.00013110854,"threshold_uncertainty_score":0.0074114203},"labels":[],"label_agreement":null},{"id":"W3125474270","doi":"","title":"Identifying the Liquidity Effect at the Daily Frequency / Commentary","year":2001,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Monetary economics; Economics; Financial system; Business; Internal medicine; Medicine","score_opus":0.04429352434486552,"score_gpt":0.24278662799701153,"score_spread":0.198493103652146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125474270","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015054794,0.008112936,0.00019630164,0.94704294,0.032354716,0.000037124308,0.0020821416,0.00006821976,0.008600182],"genre_scores_gemma":[0.03627201,0.0070000133,0.0005938063,0.8631301,0.06500291,0.000110227564,0.0004915835,0.00011082576,0.027288524],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9760296,0.00375395,0.0016893338,0.0022485238,0.013628314,0.0026504234],"domain_scores_gemma":[0.7991157,0.094884776,0.0072470834,0.004369896,0.0878508,0.006531727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019195586,0.000682715,0.0019854815,0.004875302,0.004377712,0.005592786,0.0063325213,0.020282513,0.00970069],"category_scores_gemma":[0.11549303,0.0009318281,0.0017270056,0.0069728955,0.0050543672,0.0023435156,0.001410198,0.013151382,0.004133442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054910655,0.000007243967,0.00064897106,0.00017112639,0.00004040576,0.000057659036,0.0001557388,0.00005866402,0.000057771544,0.0031645736,0.99044526,0.005137612],"study_design_scores_gemma":[0.00011755359,0.000028054319,0.019822437,0.0011640136,0.00035087622,0.00010921572,0.001035961,0.00046211804,0.00046253868,0.0053860857,0.97089964,0.0001613562],"about_ca_topic_score_codex":0.80271935,"about_ca_topic_score_gemma":0.8664917,"teacher_disagreement_score":0.80271935,"about_ca_system_score_codex":0.033431318,"about_ca_system_score_gemma":0.06050141,"threshold_uncertainty_score":0.39688492},"labels":[],"label_agreement":null},{"id":"W3125482294","doi":"","title":"Nonparametric retrospection and monitoring of predictability of financial returns","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Predictability; Nonparametric statistics; Profitability index; Econometrics; Context (archaeology); Computer science; Stock (firearms); Sample (material); Economics; Finance; Statistics; Mathematics; Engineering; Geography","score_opus":0.03495664718177566,"score_gpt":0.2733867982835649,"score_spread":0.23843015110178922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125482294","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28623816,0.00038213044,0.70741063,0.00043508792,0.00004416935,0.00010005281,0.0004037544,0.00042862957,0.0045573716],"genre_scores_gemma":[0.9260062,0.00012860209,0.07244593,0.00008271505,0.00008239187,0.00016061682,0.00032775363,0.000051359722,0.00071438344],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9916447,0.0043364256,0.0005372182,0.0014271077,0.001722574,0.00033205686],"domain_scores_gemma":[0.68094635,0.26150107,0.028198516,0.01997052,0.0073275813,0.0020558992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022070577,0.0006971173,0.00092669734,0.002433626,0.00048805412,0.0020303533,0.0018195334,0.0011963618,0.0025287564],"category_scores_gemma":[0.21024393,0.00037692217,0.0008104108,0.00180759,0.0030702674,0.004744718,0.0025195335,0.0018959255,0.00039030254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00103251,0.00036820423,0.34596428,0.00029372392,0.00037483868,0.0005687051,0.0015481595,0.094890855,0.0061831665,0.18510054,0.0018526834,0.3618223],"study_design_scores_gemma":[0.00011372434,0.0010144236,0.12169496,0.00008921552,0.00011360229,0.00085092423,0.00041445193,0.6068858,0.0068819383,0.2589206,0.0028918209,0.00012844951],"about_ca_topic_score_codex":0.0010820214,"about_ca_topic_score_gemma":0.00085908436,"teacher_disagreement_score":0.022070577,"about_ca_system_score_codex":0.00056626037,"about_ca_system_score_gemma":0.0008766764,"threshold_uncertainty_score":0.11672175},"labels":[],"label_agreement":null},{"id":"W3125484745","doi":"","title":"Ownership, Risk and Performance of Mutual Fund Management Companies","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Strong","keywords":"Business; Assets under management; Risk management; Finance; Proxy (statistics); Systematic risk; Stock (firearms); Agency (philosophy); Actuarial science; Economics; Fixed asset","score_opus":0.06479531739692414,"score_gpt":0.2760273813061171,"score_spread":0.21123206390919297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125484745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983583,0.00028723074,0.00005174057,0.00011881092,0.0000021312323,0.0000022001327,0.000058231824,0.0000037543025,0.0011175654],"genre_scores_gemma":[0.9995914,0.000061749044,0.000016173944,0.0000058097353,0.000005936606,7.9853436e-7,0.00005773858,8.977563e-7,0.00025954758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992761,0.00019213662,0.0000773401,0.000051091294,0.00024132841,0.0001620748],"domain_scores_gemma":[0.9839214,0.0037029714,0.009722765,0.00046451867,0.0008486405,0.0013397705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014804518,0.00015710694,0.00018610984,0.0010399474,0.00025251586,0.0015336201,0.00018347765,0.00043964904,0.0014980094],"category_scores_gemma":[0.013660767,0.00007665303,0.00014294194,0.00073269533,0.00047228055,0.0010489158,0.0009676915,0.00027082572,0.00038268277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003131153,0.00012225925,0.9786704,0.000019815841,0.000087441025,0.0001833971,0.00056156795,0.0016844895,0.00080141006,0.0017037746,0.0006189416,0.015233443],"study_design_scores_gemma":[0.000022904247,0.00021464727,0.99118304,0.000028473767,0.00004129344,0.00037613112,0.0006615083,0.0027653049,0.0010438405,0.0021351194,0.0015068772,0.000020892794],"about_ca_topic_score_codex":0.0017191129,"about_ca_topic_score_gemma":0.0014934986,"teacher_disagreement_score":0.0017191129,"about_ca_system_score_codex":0.0006430893,"about_ca_system_score_gemma":0.00026494014,"threshold_uncertainty_score":0.007829428},"labels":[],"label_agreement":null},{"id":"W3125486529","doi":"10.1016/j.jfineco.2017.06.003","title":"Maximum likelihood estimation of the equity premium","year":2017,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economics; Econometrics; Dividend; Equity premium puzzle; Risk premium; Equity (law); Capital asset pricing model; Estimator; Portfolio; Rate of return; Maximum likelihood; Stock (firearms); Sample (material); Investment (military); Financial economics; Statistics; Finance; Mathematics","score_opus":0.033476964450906366,"score_gpt":0.24619027600416102,"score_spread":0.21271331155325465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125486529","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09432148,0.00073893287,0.9001506,0.001460403,0.000053518725,0.0000334505,0.00033775333,0.0006153999,0.002288375],"genre_scores_gemma":[0.8803148,0.00050924707,0.11122975,0.00015016658,0.00016750951,0.00007698918,0.0010659698,0.00016364007,0.0063218875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990503,0.00060602877,0.000041906285,0.0001293381,0.00009641374,0.00007587185],"domain_scores_gemma":[0.98364085,0.014776155,0.000494262,0.0005092295,0.0003745883,0.00020495104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036444524,0.0006348269,0.0012400452,0.0012211592,0.00043565672,0.0023163876,0.0012194314,0.0016155206,0.0039231847],"category_scores_gemma":[0.027830146,0.0011592236,0.0008049081,0.0008758215,0.0009126754,0.0023113526,0.0012932633,0.0019124111,0.0010019686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036870403,0.00021635114,0.010871783,0.00018037809,0.0002695159,0.00023577959,0.00015933666,0.84565157,0.0023776337,0.05839747,0.0037980103,0.077473454],"study_design_scores_gemma":[0.000026289532,0.000010261595,0.0009594162,0.000009749379,0.000010394681,0.000021216983,0.000009089293,0.97687817,0.00027033727,0.021599803,0.00019486359,0.000010527076],"about_ca_topic_score_codex":0.005471319,"about_ca_topic_score_gemma":0.0053686914,"teacher_disagreement_score":0.005471319,"about_ca_system_score_codex":0.0007757343,"about_ca_system_score_gemma":0.0017686927,"threshold_uncertainty_score":0.019273937},"labels":[],"label_agreement":null},{"id":"W3125521553","doi":"10.2308/accr-51865","title":"Can Twitter Help Predict Firm-Level Earnings and Stock Returns?","year":2017,"lang":"en","type":"article","venue":"The Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":607,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Stock (firearms); Business; Exploit; Dissemination; Social media; Stock market; Economics; Accounting; Computer science; World Wide Web","score_opus":0.07845876055274723,"score_gpt":0.26077253439570564,"score_spread":0.1823137738429584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125521553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9611017,0.009890733,0.0013875392,0.006313854,0.00026737878,0.000032604235,0.004137551,0.000035615434,0.016833002],"genre_scores_gemma":[0.99413717,0.0028681704,0.00035515754,0.00019060606,0.00026944594,0.000010729985,0.0008223176,0.0000044485473,0.0013419352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996414,0.00014770316,0.00003803093,0.000047027945,0.00007767571,0.00004812142],"domain_scores_gemma":[0.9936062,0.003224066,0.001942319,0.00017157366,0.0007624757,0.0002933417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012998353,0.0002101432,0.00023388816,0.0012436985,0.00013392705,0.0012884628,0.00020025753,0.00041968573,0.003535278],"category_scores_gemma":[0.009899213,0.000108314685,0.00030061806,0.0014209158,0.00014441537,0.0011104551,0.00033119717,0.00041752408,0.0010011666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001859919,0.000066270295,0.9372164,0.00026139716,0.0002438472,0.00009982991,0.00036733746,0.0008587541,0.00046482927,0.0009751452,0.004871069,0.054389067],"study_design_scores_gemma":[0.00001625054,0.000115775714,0.9723973,0.00029775192,0.00029073635,0.000116218536,0.0014794136,0.009288342,0.0006423265,0.0017760547,0.013552055,0.000027915441],"about_ca_topic_score_codex":0.0049073845,"about_ca_topic_score_gemma":0.0070873667,"teacher_disagreement_score":0.0049073845,"about_ca_system_score_codex":0.00026166788,"about_ca_system_score_gemma":0.00022685729,"threshold_uncertainty_score":0.011826634},"labels":[],"label_agreement":null},{"id":"W3125533907","doi":"10.1051/proc/201756042","title":"Trading against disorderly liquidation of a large position under asymmetric information and market impact","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Agence Nationale de la Recherche","keywords":"Position (finance); Asset (computer security); Business; Portfolio; Information asymmetry; Financial economics; Hedge; Market impact; Monetary economics; Economics; Market microstructure; Finance; Order (exchange); Computer science","score_opus":0.14235173196018397,"score_gpt":0.45698751010463073,"score_spread":0.31463577814444676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125533907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9184096,0.0003476757,0.07089501,0.00096417294,0.00003491801,0.000045426983,0.00008415333,0.00006465726,0.009154429],"genre_scores_gemma":[0.99719524,0.00011162688,0.0017662738,0.00003370404,0.00001870808,0.000010819645,0.000017024922,0.0000037398506,0.0008429737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999435,0.0002019033,0.000038698025,0.00008322343,0.00010534423,0.00013575211],"domain_scores_gemma":[0.9920935,0.0040597557,0.0027880429,0.0003041395,0.00024042353,0.000514142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001965561,0.00050161255,0.00077103416,0.00050470047,0.00033401928,0.0019485478,0.00072437973,0.0016487004,0.0016278249],"category_scores_gemma":[0.011043949,0.00029285334,0.0006159903,0.00031116683,0.0019408829,0.0028511456,0.0011790039,0.0009302505,0.00013389412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007289441,0.0002604834,0.01378644,0.00015508496,0.00018237245,0.002921523,0.0002433689,0.65509987,0.009968528,0.30144045,0.0008101376,0.014402824],"study_design_scores_gemma":[0.000083881954,0.00018634053,0.0027108034,0.000014858864,0.00004364323,0.00017921938,0.00008380648,0.87568676,0.001327727,0.11946732,0.00017542961,0.000040224208],"about_ca_topic_score_codex":0.0012262692,"about_ca_topic_score_gemma":0.0006409657,"teacher_disagreement_score":0.001965561,"about_ca_system_score_codex":0.00078288687,"about_ca_system_score_gemma":0.000596484,"threshold_uncertainty_score":0.01039505},"labels":[],"label_agreement":null},{"id":"W3125546605","doi":"10.1016/j.irfa.2017.07.002","title":"Normative portfolio theory","year":2017,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ex-ante; Portfolio; Economics; Modern portfolio theory; Normative; Econometrics; Systematic risk; Sharpe ratio; Portfolio optimization; Post-modern portfolio theory; Estimation; Equity (law); Financial economics; Actuarial science; Replicating portfolio","score_opus":0.024840968298141385,"score_gpt":0.2715884484075981,"score_spread":0.2467474801094567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125546605","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015577405,0.061143037,0.28995913,0.040138517,0.0024126882,0.000073770265,0.00042341312,0.00019765664,0.5900744],"genre_scores_gemma":[0.77360296,0.050263464,0.05887229,0.008748814,0.006848348,0.0003243704,0.00074937585,0.00023725403,0.10035316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99844044,0.00056967395,0.00008440069,0.00023172029,0.00058858306,0.00008522579],"domain_scores_gemma":[0.99814975,0.0008406545,0.00014676397,0.00033171155,0.00044814704,0.00008309001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023115857,0.0005988773,0.00085020997,0.0014095315,0.00096870016,0.004842709,0.00092915824,0.0025062307,0.006936286],"category_scores_gemma":[0.0076093827,0.0003129886,0.0004706499,0.0014921686,0.005234172,0.006164652,0.0013538678,0.0030685472,0.0019674336],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014486674,0.0000042139113,0.000052515315,0.000014333781,0.0000031791833,0.000006136153,0.000023829463,0.0002946324,0.000022056816,0.9930091,0.0024328975,0.0041355547],"study_design_scores_gemma":[0.0000015227828,0.0000014043028,0.000051416497,0.000020414498,0.0000015505988,0.000016832111,0.000007962491,0.00049628457,0.00001701364,0.98763907,0.011744968,0.0000015866951],"about_ca_topic_score_codex":0.0011434429,"about_ca_topic_score_gemma":0.0009181801,"teacher_disagreement_score":0.006936286,"about_ca_system_score_codex":0.0019871357,"about_ca_system_score_gemma":0.0017002571,"threshold_uncertainty_score":0.023204148},"labels":[],"label_agreement":null},{"id":"W3125551240","doi":"","title":"The Behavior of Prices, Trades and Spreads for Canadian IPO's","year":2005,"lang":"en","type":"article","venue":"Multinational Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Initial public offering; Liberian dollar; Market liquidity; Monetary economics; Business; Economics; Finance","score_opus":0.027918434281261253,"score_gpt":0.2342369593216071,"score_spread":0.20631852504034584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125551240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935834,0.00043708886,0.000113162765,0.00012959607,0.0000042950082,0.000009072307,0.0033589622,0.00003689939,0.0023275097],"genre_scores_gemma":[0.9959259,0.00023890422,0.00009104774,0.0000085336915,0.0000073707015,0.0000033340616,0.0027242524,0.0000057694942,0.0009948451],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995732,0.000017218863,0.000028147128,0.000073470685,0.00021066522,0.00009734695],"domain_scores_gemma":[0.9959627,0.00063129823,0.0017366821,0.00015615017,0.0011694037,0.00034394852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004960066,0.0003218956,0.00030540425,0.0033947777,0.00083348603,0.0013634858,0.00054985407,0.00044100778,0.002585402],"category_scores_gemma":[0.006170504,0.00026335404,0.00049798354,0.0041112253,0.00034884512,0.0006523709,0.00043242922,0.0005094716,0.0003125127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031539303,0.000049551112,0.964312,0.000057242334,0.00014113577,0.00037989384,0.0006946075,0.0062472,0.0017321084,0.0009219921,0.0024324164,0.022716442],"study_design_scores_gemma":[0.0000030321144,0.000018658284,0.99608326,0.000003081344,0.000017237964,0.000090105306,0.00010033058,0.0023898152,0.00025642407,0.00005415873,0.00097035855,0.000013564484],"about_ca_topic_score_codex":0.8311181,"about_ca_topic_score_gemma":0.88289624,"teacher_disagreement_score":0.1688819,"about_ca_system_score_codex":0.00940029,"about_ca_system_score_gemma":0.002612998,"threshold_uncertainty_score":0.3397529},"labels":[],"label_agreement":null},{"id":"W3125564336","doi":"","title":"Liquidity Supply and Demand in Limit Order Markets","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immediacy; Market liquidity; Economics; Volatility (finance); Order (exchange); Valuation (finance); Market maker; Financial economics; Monetary economics; Microeconomics; Econometrics; Business; Stock market; Finance","score_opus":0.0499513609178754,"score_gpt":0.2687815296654668,"score_spread":0.21883016874759142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125564336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9006294,0.0013065737,0.07144754,0.0031023284,0.000042864358,0.00008352279,0.0012166498,0.0002418357,0.021929296],"genre_scores_gemma":[0.99013054,0.00029223587,0.002653842,0.000077287244,0.000049389637,0.000049634415,0.00025999162,0.000024649042,0.0064623747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919325,0.00026922644,0.00004666966,0.00012937943,0.00016879747,0.0001926673],"domain_scores_gemma":[0.9948196,0.0033805799,0.00087556423,0.00020007804,0.00030916344,0.0004150015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014874897,0.0006894782,0.0011936595,0.00080967025,0.00072828325,0.0039304085,0.0016577756,0.002800646,0.008496326],"category_scores_gemma":[0.011311161,0.0009523855,0.0005824385,0.0010484917,0.001367344,0.004400909,0.0011107028,0.00188125,0.0013681971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012413908,0.00060481613,0.03203259,0.00025968894,0.0001133435,0.0017865896,0.0013007598,0.6422404,0.004099259,0.29611358,0.0033204698,0.01688711],"study_design_scores_gemma":[0.00016633647,0.0001079672,0.0043006777,0.000025124164,0.00002746006,0.00014096209,0.000228178,0.83789176,0.0003608368,0.1552354,0.0014615465,0.000053813892],"about_ca_topic_score_codex":0.008654637,"about_ca_topic_score_gemma":0.0063715987,"teacher_disagreement_score":0.008654637,"about_ca_system_score_codex":0.001634949,"about_ca_system_score_gemma":0.00096141716,"threshold_uncertainty_score":0.028423011},"labels":[],"label_agreement":null},{"id":"W3125567533","doi":"10.1093/rfs/hhaa010","title":"Options Trading Costs Are Lower than You Think","year":2020,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":133,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Profitability index; Bid price; Value (mathematics); Quarter (Canadian coin); Economics; Business; Monetary economics; Financial economics; Finance; Mathematics; Statistics","score_opus":0.08752526136647142,"score_gpt":0.27382134457231644,"score_spread":0.186296083205845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125567533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3788141,0.31150943,0.025023632,0.08328118,0.0031329521,0.00006608663,0.0010309649,0.0002581663,0.19688341],"genre_scores_gemma":[0.9297177,0.04483608,0.0042656884,0.0053425273,0.0013747296,0.00003653107,0.0002970594,0.000045350454,0.014084165],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986486,0.0003002972,0.00010682111,0.00015200277,0.00070379407,0.00008848007],"domain_scores_gemma":[0.9943625,0.002648057,0.0015532965,0.00029593092,0.000936273,0.00020385523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013478069,0.00021018588,0.00036284683,0.0007396939,0.00020718637,0.00200816,0.00039101572,0.0008479968,0.010725303],"category_scores_gemma":[0.009331698,0.00013366628,0.00027696264,0.0007453549,0.00048571342,0.00299929,0.0003994158,0.0009786497,0.0016408953],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011366076,0.00020075808,0.046851423,0.0038170235,0.00087692804,0.0005546189,0.0005068136,0.0026578517,0.006984752,0.15769508,0.04750434,0.7312137],"study_design_scores_gemma":[0.00032784414,0.0008716718,0.15763931,0.0043637664,0.0010710526,0.0036419244,0.0031772093,0.0057137595,0.012805698,0.41251338,0.39770478,0.0001695605],"about_ca_topic_score_codex":0.000541392,"about_ca_topic_score_gemma":0.00048262195,"teacher_disagreement_score":0.010725303,"about_ca_system_score_codex":0.00039921785,"about_ca_system_score_gemma":0.00037251943,"threshold_uncertainty_score":0.03587967},"labels":[],"label_agreement":null},{"id":"W3125568145","doi":"10.1017/s0022109010000542","title":"Market Dynamics and Momentum Profits","year":2010,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Overconfidence effect; Momentum (technical analysis); Economics; Financial economics; State (computer science); Monetary economics; Mathematics","score_opus":0.02000037480023529,"score_gpt":0.23978347963121227,"score_spread":0.219783104830977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125568145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839335,0.00029182187,0.0017192732,0.00048797947,0.000014425971,0.000012278826,0.00010736582,0.000028420796,0.013404956],"genre_scores_gemma":[0.9994524,0.00005119347,0.00007783422,0.000009765582,0.000009627045,0.0000017942164,0.000020650092,0.0000018896452,0.00037470847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972194,0.00005352462,0.000020257537,0.00005545446,0.00007697408,0.00007186559],"domain_scores_gemma":[0.99022233,0.0046770433,0.003586836,0.00032852424,0.00041614196,0.00076910615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082121097,0.00017591222,0.0003000008,0.0009408299,0.00037981066,0.0026334743,0.00023293766,0.0006134029,0.007764844],"category_scores_gemma":[0.011855226,0.0001509829,0.0001911537,0.0006799083,0.0009225084,0.0024654414,0.000744941,0.00083009375,0.00035739134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010553859,0.0007062714,0.72056454,0.00016916922,0.0002278584,0.0014074122,0.0014536055,0.025731344,0.007459801,0.16705307,0.0031352635,0.07103631],"study_design_scores_gemma":[0.00009105287,0.00041074716,0.6792221,0.000058712176,0.000077888035,0.000777777,0.0012474036,0.05776117,0.0023880177,0.25343052,0.0044632573,0.000071345166],"about_ca_topic_score_codex":0.0011113156,"about_ca_topic_score_gemma":0.0007570938,"teacher_disagreement_score":0.007764844,"about_ca_system_score_codex":0.0006829925,"about_ca_system_score_gemma":0.00029506625,"threshold_uncertainty_score":0.025976002},"labels":[],"label_agreement":null},{"id":"W3125581198","doi":"10.1016/j.jbankfin.2010.02.012","title":"Trading activity and bid–ask spreads of individual equity options","year":2010,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Rotman School of Management, University of Toronto; Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Economics; Moneyness; Market liquidity; Volatility (finance); Monetary economics; Bid–ask spread; Financial economics; Stock (firearms); Equity (law); Volatility smile; Econometrics","score_opus":0.04526065240185378,"score_gpt":0.2603745124994622,"score_spread":0.2151138600976084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125581198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990239,0.00008399988,0.00037174224,0.000021316337,0.0000017096276,0.0000016032384,0.000062785584,0.0000048802585,0.00042798652],"genre_scores_gemma":[0.9996105,0.000022556113,0.00009245836,0.0000030880412,0.000003253507,0.0000010170759,0.00006473411,0.0000029853181,0.00019945196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982965,0.000053178377,0.00001816042,0.000031320596,0.000038103877,0.000029511359],"domain_scores_gemma":[0.98509717,0.011983069,0.0013921411,0.00043203644,0.00046357306,0.00063194556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008757234,0.00018064704,0.00023880407,0.0006079218,0.00015450873,0.0011500836,0.00033016375,0.0006450855,0.004102502],"category_scores_gemma":[0.013274694,0.00025379946,0.00026220907,0.00042569908,0.00026817992,0.0013222201,0.00033855846,0.0007664629,0.00051305734],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008760486,0.00093604473,0.7803611,0.00014176349,0.00074330665,0.0016532891,0.00167686,0.04822729,0.09372645,0.01763108,0.00084712513,0.045295216],"study_design_scores_gemma":[0.00009359334,0.00037281783,0.77769864,0.000019704108,0.0001471881,0.0016268506,0.00034556864,0.19296005,0.010175626,0.01597076,0.0005225796,0.0000666699],"about_ca_topic_score_codex":0.0006517824,"about_ca_topic_score_gemma":0.00052213547,"teacher_disagreement_score":0.004102502,"about_ca_system_score_codex":0.0001663264,"about_ca_system_score_gemma":0.00009221109,"threshold_uncertainty_score":0.013724208},"labels":[],"label_agreement":null},{"id":"W3125582787","doi":"10.1111/j.1475-6803.2010.01268.x","title":"DYNAMIC HEDGE FUND STYLE ANALYSIS WITH ERRORS‐IN‐VARIABLES","year":2010,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Benchmark (surveying); Kalman filter; Econometrics; Hedge fund; Computer science; Series (stratigraphy); Identification (biology); Dynamic factor; Returns-based style analysis; Style analysis; Mathematics; Economics; Finance; Artificial intelligence; Investment management; Fund administration","score_opus":0.06479509123389932,"score_gpt":0.3131769922171479,"score_spread":0.24838190098324858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125582787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6648729,0.00031662305,0.33029345,0.00031899195,0.000048683738,0.000044484117,0.000250729,0.00019496499,0.0036591254],"genre_scores_gemma":[0.98725456,0.00011762808,0.0100584775,0.000028156717,0.00004292994,0.000015463018,0.00015225341,0.00001879574,0.0023116397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991366,0.00024424732,0.000055686152,0.0001732984,0.00027812106,0.00011200174],"domain_scores_gemma":[0.99462765,0.0028812396,0.0011477657,0.00059962034,0.00058113376,0.00016266736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003274878,0.000561173,0.00069755065,0.001227626,0.00023254531,0.0017062115,0.0008465165,0.0006280033,0.0019789226],"category_scores_gemma":[0.013041415,0.00025563373,0.0006038898,0.0010244098,0.00053400855,0.0011532595,0.0009401002,0.0009209417,0.00016847692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002739294,0.00016897175,0.1198861,0.00008723989,0.0005072027,0.00058021065,0.00023203898,0.67244065,0.0055819517,0.08649608,0.0011733092,0.11257238],"study_design_scores_gemma":[0.00001501907,0.00006712528,0.01704984,0.0000105580875,0.00004294117,0.000042305677,0.000032346532,0.9622244,0.0017649832,0.01800355,0.00072053727,0.000026320828],"about_ca_topic_score_codex":0.0051041436,"about_ca_topic_score_gemma":0.0024530396,"teacher_disagreement_score":0.0051041436,"about_ca_system_score_codex":0.000640429,"about_ca_system_score_gemma":0.00058877317,"threshold_uncertainty_score":0.017319381},"labels":[],"label_agreement":null},{"id":"W3125582819","doi":"10.2139/ssrn.3338610","title":"Do Survey Expectations of Stock Returns Reflect Risk-Adjustments?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Stock (firearms); Economics; Financial economics; Econometrics; Business; Monetary economics; Geography","score_opus":0.03761388499086989,"score_gpt":0.2644474663729877,"score_spread":0.22683358138211782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125582819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890749,0.00028494844,0.0054169074,0.00085683935,0.000031936903,0.000015610738,0.0010946202,0.00004223337,0.0031820934],"genre_scores_gemma":[0.9985121,0.0000940778,0.0002841768,0.000105885934,0.00002533688,0.0000057984716,0.000541201,0.0000078304565,0.00042369182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796045,0.0009379078,0.00023744891,0.00037382648,0.00030954264,0.0001808162],"domain_scores_gemma":[0.9251846,0.035281368,0.026429916,0.0073113786,0.004237947,0.0015548699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007785382,0.00031670553,0.00043011675,0.0008437282,0.00015915406,0.0027257693,0.0006774302,0.0012589067,0.0044806786],"category_scores_gemma":[0.08521199,0.0003269173,0.0004422459,0.0011720759,0.00052727433,0.0034431166,0.0007026025,0.0007455059,0.0018409865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018653573,0.000059024962,0.9859648,0.000028162282,0.00014502127,0.000032323645,0.00036892993,0.0012330912,0.0003242153,0.0011277711,0.00059137255,0.009938819],"study_design_scores_gemma":[0.000009457452,0.00015302381,0.9867476,0.000015461446,0.00006747733,0.00010192515,0.0006839724,0.0071797096,0.00061233,0.0035577898,0.0008490049,0.000022132253],"about_ca_topic_score_codex":0.0038691668,"about_ca_topic_score_gemma":0.0028879712,"teacher_disagreement_score":0.007785382,"about_ca_system_score_codex":0.00034081738,"about_ca_system_score_gemma":0.00021702649,"threshold_uncertainty_score":0.041173518},"labels":[],"label_agreement":null},{"id":"W3125597246","doi":"10.1016/j.iref.2015.07.003","title":"Portfolio choice with stochastic interest rates and learning about stock return predictability","year":2015,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Predictability; Economics; Stock (firearms); Econometrics; Bond; Portfolio; Expected return; Volatility (finance); Rate of return on a portfolio; Financial economics; Risk premium; Portfolio optimization; Mathematics; Statistics; Finance","score_opus":0.04958991092002648,"score_gpt":0.2652422516262777,"score_spread":0.2156523407062512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125597246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63375807,0.008525991,0.34276837,0.0071596527,0.0002361935,0.000044036457,0.00041899786,0.00023221607,0.006856529],"genre_scores_gemma":[0.9791383,0.004283232,0.012175598,0.00030780828,0.0003881899,0.00002709727,0.00025177601,0.000036827234,0.0033910668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988456,0.000564345,0.000078176214,0.00023958976,0.00019127209,0.00008102825],"domain_scores_gemma":[0.973032,0.021876277,0.002985742,0.0009212634,0.0007001333,0.00048458262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047177356,0.0005613945,0.0013945331,0.0010425464,0.00026610974,0.0028263088,0.0012296395,0.0020557167,0.0018401273],"category_scores_gemma":[0.031543095,0.00073769497,0.0010196049,0.0011634495,0.0019689118,0.0060353987,0.001046174,0.001954687,0.00021083863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026828368,0.0001606539,0.025470665,0.00027293141,0.00055360113,0.00043399166,0.00027464976,0.50137275,0.001160876,0.40883574,0.002471214,0.058724646],"study_design_scores_gemma":[0.000031218973,0.00005024626,0.00496178,0.000023933675,0.000040386134,0.00007083872,0.000024603101,0.523516,0.00020561327,0.47054,0.0005038571,0.000031635416],"about_ca_topic_score_codex":0.0011286739,"about_ca_topic_score_gemma":0.0007493079,"teacher_disagreement_score":0.0047177356,"about_ca_system_score_codex":0.0008827102,"about_ca_system_score_gemma":0.0004627822,"threshold_uncertainty_score":0.024950087},"labels":[],"label_agreement":null},{"id":"W3125600692","doi":"10.1111/j.1530-9134.2008.00185.x","title":"<scp>Reputation and Managerial Truth‐Telling as Self‐Insurance</scp>","year":2008,"lang":"en","type":"article","venue":"Journal of Economics & Management Strategy","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reputation; Honesty; Insider; Private information retrieval; Cash; Business; Stock (firearms); Microeconomics; Information asymmetry; Dishonesty; Economics; Actuarial science; Finance; Law; Computer security","score_opus":0.028007909876168184,"score_gpt":0.20723208471832708,"score_spread":0.17922417484215888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125600692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5265281,0.0044326587,0.25784335,0.046059474,0.0005651461,0.00020500002,0.00034771435,0.0002514856,0.163767],"genre_scores_gemma":[0.9914215,0.00046953178,0.0041222586,0.00037379327,0.00015886198,0.000030493964,0.00001686174,0.000012400018,0.0033943427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99777585,0.001203867,0.00008728121,0.00027757362,0.00027014472,0.00038524126],"domain_scores_gemma":[0.98029745,0.011370048,0.0054596267,0.0012612386,0.000907674,0.00070404564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039574914,0.0004430894,0.00067355117,0.0005164736,0.001250091,0.0040700296,0.001226052,0.003422644,0.007552353],"category_scores_gemma":[0.02081457,0.00035883786,0.0007907207,0.00054641085,0.0040640365,0.005229551,0.0015943493,0.001989685,0.00065207283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013499666,0.00011468857,0.002352687,0.00011235183,0.000053600703,0.00036820097,0.0006544584,0.016207734,0.0013003759,0.9652334,0.0030010806,0.010466372],"study_design_scores_gemma":[0.00006650586,0.00013853848,0.0021751123,0.00006425935,0.000047930796,0.00020446154,0.00035970323,0.13645844,0.00071367726,0.85592055,0.0037923963,0.000058376158],"about_ca_topic_score_codex":0.0025561252,"about_ca_topic_score_gemma":0.0013644249,"teacher_disagreement_score":0.007552353,"about_ca_system_score_codex":0.002504971,"about_ca_system_score_gemma":0.0015089004,"threshold_uncertainty_score":0.025265157},"labels":[],"label_agreement":null},{"id":"W3125608764","doi":"","title":"The Asset Allocation of Managers and Investors: Evidence from Hybrid Funds","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Stock (firearms); Bond; Asset allocation; Closed-end fund; Business; Income fund; Bond market; Financial economics; Economics; Monetary economics; Stock market; Fund of funds; Finance; Fund administration; Portfolio; Market liquidity","score_opus":0.01989052813000484,"score_gpt":0.20379676094741903,"score_spread":0.1839062328174142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125608764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99962866,0.00006421957,0.00005522484,0.000013322723,5.219241e-7,0.0000017377208,0.000011709905,8.3486e-7,0.00022382791],"genre_scores_gemma":[0.9997811,0.000041157236,0.000052508683,0.000010325925,0.000005134124,0.0000025093243,0.000027008078,4.6570142e-7,0.00007982199],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994618,0.0002056932,0.000050998555,0.00008118393,0.000099607794,0.00010071938],"domain_scores_gemma":[0.9900385,0.0036877731,0.0047868146,0.00061073015,0.00029357988,0.00058249827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020126787,0.00019243803,0.00031060074,0.0009174655,0.00023916115,0.0011187887,0.0002963281,0.0006311926,0.0010762059],"category_scores_gemma":[0.010152009,0.00014856298,0.00023759768,0.0005938106,0.00062156224,0.00087941514,0.0009345226,0.00031573506,0.00015854609],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018338838,0.0002685812,0.975094,0.000034220884,0.00021224526,0.00033671435,0.0010089901,0.0013642369,0.002641954,0.00089506403,0.000096692806,0.01621335],"study_design_scores_gemma":[0.00007146382,0.0007704554,0.9926248,0.000014444386,0.00008449004,0.00039511736,0.00078469166,0.0019353885,0.0013426855,0.0014324068,0.00052232173,0.000021684667],"about_ca_topic_score_codex":0.0011328863,"about_ca_topic_score_gemma":0.0009914743,"teacher_disagreement_score":0.0020126787,"about_ca_system_score_codex":0.0002458969,"about_ca_system_score_gemma":0.00013100418,"threshold_uncertainty_score":0.010644197},"labels":[],"label_agreement":null},{"id":"W3125613297","doi":"10.2139/ssrn.3015833","title":"What Information Drives Asset Prices?","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Asset (computer security); Monetary economics; Financial economics; Economics; Financial system; Computer science; Computer security","score_opus":0.01583228145547101,"score_gpt":0.22406408836300634,"score_spread":0.20823180690753534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125613297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95011413,0.0013990426,0.007453143,0.0062155626,0.00017632447,0.000029266586,0.00045110745,0.00008911869,0.03407229],"genre_scores_gemma":[0.9970772,0.00037425724,0.00051067024,0.00018991702,0.0001066802,0.0000033899303,0.000078359306,0.000018540748,0.0016408393],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994229,0.00018670694,0.00003576356,0.00011247683,0.0001415942,0.000100708836],"domain_scores_gemma":[0.9755906,0.018188749,0.002772608,0.00081997574,0.0016427473,0.0009853744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015802942,0.00029742176,0.0005492967,0.0010574874,0.000362257,0.0048056985,0.00039143045,0.001857501,0.0104443515],"category_scores_gemma":[0.031970445,0.0004447728,0.00031074736,0.0008451701,0.00090640126,0.0048840707,0.000516869,0.0013327352,0.0016539131],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024908427,0.0013829216,0.5063262,0.0010841051,0.0008946098,0.002412247,0.0040471377,0.03617468,0.01565599,0.17621014,0.026261007,0.22706017],"study_design_scores_gemma":[0.00028506032,0.0006395384,0.38276315,0.00031260552,0.0006298587,0.0011091862,0.0030282272,0.14818603,0.008051694,0.4403613,0.01444653,0.00018683313],"about_ca_topic_score_codex":0.001674216,"about_ca_topic_score_gemma":0.0013475933,"teacher_disagreement_score":0.0104443515,"about_ca_system_score_codex":0.0006179588,"about_ca_system_score_gemma":0.00051810045,"threshold_uncertainty_score":0.034939826},"labels":[],"label_agreement":null},{"id":"W3125620307","doi":"10.5539/ibr.v11n9p13","title":"Testing a Multi-factor Capital Asset Pricing Model in the Jordanian Stock Market","year":2018,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Market portfolio; Financial economics; Stock exchange; Leverage (statistics); Economics; Portfolio; Expected return; Rate of return; Econometrics; Stock (firearms); Business; Finance; Computer science","score_opus":0.19304662285598645,"score_gpt":0.3492863911027084,"score_spread":0.15623976824672198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125620307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934186,0.000059688635,0.005418297,0.00014594855,0.000006730705,0.00003210014,0.000058247097,0.000016934617,0.0008435416],"genre_scores_gemma":[0.99640286,0.00006059231,0.003143359,0.000025850226,0.000009964078,0.000026855796,0.000109368324,0.0000030397591,0.0002182329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99701893,0.001899859,0.0001534228,0.00043562215,0.00028075645,0.00021146658],"domain_scores_gemma":[0.98236626,0.013999878,0.0014670843,0.0006329779,0.001288208,0.00024564666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010265777,0.0006124825,0.0006150177,0.0009575822,0.00047350192,0.0014471738,0.0009681365,0.0007566001,0.0016948534],"category_scores_gemma":[0.024576882,0.0002866064,0.0009374312,0.0007960014,0.00057504344,0.0016516887,0.000581897,0.0006667382,0.00019981008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010923311,0.0012163972,0.53450733,0.00018641747,0.0005898616,0.00060830323,0.0013904668,0.35402814,0.001124268,0.025025412,0.0014821725,0.07874902],"study_design_scores_gemma":[0.00007684591,0.0004489122,0.0663457,0.000024928591,0.00006513777,0.00007373584,0.0004114234,0.92641026,0.00046027894,0.005229996,0.00042475935,0.000027985343],"about_ca_topic_score_codex":0.012256846,"about_ca_topic_score_gemma":0.005887395,"teacher_disagreement_score":0.012256846,"about_ca_system_score_codex":0.0011551545,"about_ca_system_score_gemma":0.0017663809,"threshold_uncertainty_score":0.054291308},"labels":[],"label_agreement":null},{"id":"W3125625394","doi":"10.2139/ssrn.3218190","title":"Institutionalization, Delegation, and Asset Prices","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Institutionalisation; Delegation; Asset (computer security); Business; Financial system; Economics; Political science; Computer security; Management; Law; Computer science","score_opus":0.013149932643800528,"score_gpt":0.19887681998988996,"score_spread":0.18572688734608944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125625394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9696499,0.000351383,0.0055073197,0.0010552787,0.000015975582,0.000015192122,0.0000587388,0.000026353828,0.023319826],"genre_scores_gemma":[0.99890256,0.000052150976,0.0001262413,0.000015087327,0.000014418122,0.0000025890263,0.000011278784,0.000002199316,0.00087345735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99917275,0.0002992766,0.000054291024,0.000116721334,0.00008919982,0.0002676917],"domain_scores_gemma":[0.98591346,0.004659393,0.005488279,0.0015210875,0.0004761349,0.0019416303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028645163,0.00012941877,0.00036295233,0.0003550705,0.00052814855,0.0025411206,0.00038106114,0.0007374374,0.008616908],"category_scores_gemma":[0.01347824,0.00014021728,0.00020475568,0.00048014344,0.0015879968,0.0017477393,0.0012024048,0.000976069,0.00044902728],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002388955,0.0020010194,0.40178812,0.00018582301,0.00039119163,0.00095327385,0.0023289395,0.03126229,0.0037219934,0.4543981,0.005228897,0.09535142],"study_design_scores_gemma":[0.0003301271,0.00033962383,0.32755885,0.00005089266,0.000122046724,0.0004930078,0.0025175312,0.039554205,0.0013206211,0.621567,0.0060831998,0.00006282026],"about_ca_topic_score_codex":0.0018843496,"about_ca_topic_score_gemma":0.0015888603,"teacher_disagreement_score":0.008616908,"about_ca_system_score_codex":0.00085572613,"about_ca_system_score_gemma":0.0007504527,"threshold_uncertainty_score":0.028826356},"labels":[],"label_agreement":null},{"id":"W3125629224","doi":"10.1108/14757701311327722","title":"Momentum profits and idiosyncratic volatility: the Korean evidence","year":2013,"lang":"en","type":"article","venue":"Review of Accounting and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Contrarian; Volatility (finance); Economics; Momentum (technical analysis); Stock (firearms); Econometrics; Financial economics; Profitability index; Stock market; Systematic risk; Finance","score_opus":0.029105758683502816,"score_gpt":0.22814639271465334,"score_spread":0.19904063403115052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125629224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98478925,0.009206741,0.0005732357,0.0008624289,0.000049907205,0.000009389124,0.00032604724,0.000007207162,0.004175855],"genre_scores_gemma":[0.99747616,0.0018841248,0.00009256182,0.000102310136,0.00007206076,0.0000014294574,0.00016350097,0.000002447101,0.00020546473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994209,0.00008612867,0.00011030479,0.00017219795,0.00014333498,0.00006711758],"domain_scores_gemma":[0.98964804,0.002899489,0.0056861057,0.00055934116,0.0007444477,0.00046264534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010284568,0.00036150284,0.0003402293,0.0013247688,0.00031464186,0.0018348842,0.0004688547,0.00043318592,0.0030795038],"category_scores_gemma":[0.005644204,0.0002067587,0.000599565,0.0015533676,0.00085176155,0.0017146107,0.0009759654,0.0005926617,0.0002470213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013069248,0.00004353345,0.9828752,0.0001826782,0.00031796595,0.000476167,0.00024794711,0.00018357234,0.00019345903,0.0011690852,0.00024770206,0.013932026],"study_design_scores_gemma":[0.000013681468,0.00008195904,0.9939657,0.00013544875,0.0003276786,0.0008808915,0.00095957,0.0008999602,0.00024332575,0.001164086,0.0013103914,0.000017429695],"about_ca_topic_score_codex":0.003262563,"about_ca_topic_score_gemma":0.0025472594,"teacher_disagreement_score":0.003262563,"about_ca_system_score_codex":0.0003073279,"about_ca_system_score_gemma":0.000490064,"threshold_uncertainty_score":0.010301948},"labels":[],"label_agreement":null},{"id":"W3125631683","doi":"10.1287/mnsc.2013.1779","title":"Financial Product Differentiation over the State Space in the Mutual Fund Industry","year":2013,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mutual fund; Market segmentation; Business; Finance; Economics; Marketing","score_opus":0.031243606770560393,"score_gpt":0.2193958093081553,"score_spread":0.1881522025375949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125631683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96326923,0.0001494562,0.03406827,0.0002170427,0.000003315685,0.000011318222,0.000053368218,0.000029951962,0.0021980114],"genre_scores_gemma":[0.99791616,0.00005917753,0.001414319,0.000008031761,0.0000034020363,0.000006235268,0.00002126656,0.0000023362707,0.00056897075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996278,0.00013167756,0.000018676275,0.00009785716,0.000049848783,0.00007415161],"domain_scores_gemma":[0.99723816,0.0015754178,0.0006637853,0.00016693458,0.00012473144,0.0002309062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013375144,0.0003081253,0.00053571723,0.00064418424,0.00037322182,0.0018295628,0.00038316904,0.0005935998,0.0016739563],"category_scores_gemma":[0.005421253,0.00028547138,0.0005766587,0.00061198045,0.0016676387,0.0025316158,0.0009012788,0.0007030968,0.00011111989],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011336494,0.00026819308,0.0896938,0.000105486666,0.00016952225,0.0010411771,0.0016673933,0.29741505,0.00976353,0.5479319,0.001089453,0.049720813],"study_design_scores_gemma":[0.00005799781,0.00020090937,0.036739208,0.000023717417,0.000078338984,0.00029260357,0.00033414227,0.77985674,0.0014381295,0.18036953,0.0005434506,0.00006528977],"about_ca_topic_score_codex":0.0025721253,"about_ca_topic_score_gemma":0.00179343,"teacher_disagreement_score":0.0025721253,"about_ca_system_score_codex":0.0009971705,"about_ca_system_score_gemma":0.0003361146,"threshold_uncertainty_score":0.0072349906},"labels":[],"label_agreement":null},{"id":"W3125653313","doi":"10.1137/16m106282x","title":"Algorithmic Trading with Model Uncertainty","year":2017,"lang":"en","type":"article","venue":"SIAM Journal on Financial Mathematics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ambiguity; Sharpe ratio; Context (archaeology); Limit (mathematics); Computer science; Asset (computer security); Trading strategy; Mathematical optimization; Econometrics; Mathematical economics; Algorithmic trading; Economics; Mathematics; Financial economics","score_opus":0.05055237830024673,"score_gpt":0.24076026102854473,"score_spread":0.190207882728298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125653313","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.066892006,0.00042896692,0.9148412,0.0016811593,0.00007655382,0.000033759203,0.000114627874,0.00019095893,0.015740763],"genre_scores_gemma":[0.93132406,0.0003348912,0.06240609,0.00022315362,0.00011481553,0.0000959402,0.0001117448,0.000071495655,0.00531778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825925,0.0008898931,0.00009332222,0.0002513357,0.0003394071,0.00016678088],"domain_scores_gemma":[0.9930119,0.005031844,0.0006505182,0.0008431601,0.00027800875,0.00018456395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002382601,0.00081788877,0.0010070705,0.00055616145,0.0006225562,0.0029731393,0.0011681842,0.0018127537,0.0028118815],"category_scores_gemma":[0.015566517,0.00058689597,0.00094329566,0.00061246357,0.0018683332,0.003237503,0.0025869259,0.0019568792,0.0002628223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003390246,0.000025017136,0.00064448465,0.000034514662,0.00003952554,0.00014379958,0.000099674995,0.500428,0.00044922135,0.49098408,0.0005800005,0.006537809],"study_design_scores_gemma":[0.0000057121424,0.000006987666,0.000055196157,0.0000049456307,0.0000037690847,0.000018604831,0.000009555234,0.7353851,0.00007198825,0.264054,0.000377899,0.0000062296867],"about_ca_topic_score_codex":0.0018238132,"about_ca_topic_score_gemma":0.0012861345,"teacher_disagreement_score":0.0029731393,"about_ca_system_score_codex":0.0011697103,"about_ca_system_score_gemma":0.0009738244,"threshold_uncertainty_score":0.012600601},"labels":[],"label_agreement":null},{"id":"W3125669044","doi":"10.3390/jrfm14010037","title":"Improving MACD Technical Analysis by Optimizing Parameters and Modifying Trading Rules: Evidence from the Japanese Nikkei 225 Futures Market","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Futures contract; Profitability index; Econometrics; Technical analysis; Divergence (linguistics); Moving average; Economics; Efficient-market hypothesis; Convergence (economics); Computer science; Trading strategy; Financial economics; Mathematics; Statistics; Stock market","score_opus":0.01919877772363359,"score_gpt":0.21027574333975868,"score_spread":0.19107696561612508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125669044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870073,0.00068779825,0.00915756,0.00037979896,0.000021410318,0.000023931403,0.00012261567,0.00009235494,0.0025070761],"genre_scores_gemma":[0.9955629,0.00021919442,0.0036826076,0.000037667913,0.000020388996,0.000009215668,0.00020529097,0.000027149714,0.00023562957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974414,0.0013551901,0.00023295628,0.00032423908,0.0005000751,0.00014608832],"domain_scores_gemma":[0.97704893,0.016996674,0.0019395322,0.0021639646,0.0015620171,0.00028893063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011586463,0.0008671642,0.000776928,0.0011114972,0.0005609802,0.0017701649,0.0010947577,0.0009082478,0.0012140846],"category_scores_gemma":[0.031908683,0.00034082308,0.0014483354,0.0008579522,0.0010642501,0.0035193742,0.001089498,0.0015033896,0.00028348982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021021054,0.0016058991,0.22055952,0.00073241815,0.0011445459,0.0013408447,0.0015758313,0.57090396,0.0057390924,0.03578731,0.0062027494,0.15230575],"study_design_scores_gemma":[0.00021993273,0.00092511025,0.06390911,0.000078504956,0.0003780945,0.0002756615,0.00060359866,0.9113079,0.00412952,0.0151282605,0.0029027772,0.00014157979],"about_ca_topic_score_codex":0.009616071,"about_ca_topic_score_gemma":0.005205912,"teacher_disagreement_score":0.011586463,"about_ca_system_score_codex":0.0011085349,"about_ca_system_score_gemma":0.0008796453,"threshold_uncertainty_score":0.06127578},"labels":[],"label_agreement":null},{"id":"W3125671399","doi":"","title":"Debt-equity choice as a signal of earnings profile over time","year":2006,"lang":"en","type":"preprint","venue":"BCU Open Access Repository (Birmingham City University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Earnings; Debt; Equity (law); Private information retrieval; Monetary economics; Earnings growth; Business; Economics; Private equity; Finance","score_opus":0.05765054033811838,"score_gpt":0.2871273869487868,"score_spread":0.22947684661066842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125671399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99202263,0.0001316513,0.005829255,0.00023214966,0.0000057047596,0.000014464259,0.00041699279,0.000016905724,0.0013302037],"genre_scores_gemma":[0.9976508,0.00009002972,0.0008421769,0.00001796906,0.0000079632655,0.0000069186835,0.00026538232,0.0000036105075,0.0011151228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996314,0.00010875343,0.000026968648,0.00009310073,0.00006283981,0.000077010285],"domain_scores_gemma":[0.9918677,0.004094061,0.0028993322,0.00034062608,0.00028503835,0.000513207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020929796,0.00026492096,0.00051237486,0.0007567963,0.0002500313,0.0013565316,0.00043484266,0.0011083394,0.0025756818],"category_scores_gemma":[0.012426038,0.00023650714,0.0002253624,0.00077313517,0.00044615733,0.001552615,0.00045756166,0.0008785655,0.00043446588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003677457,0.000721439,0.7693663,0.00016719045,0.00034631666,0.0013352868,0.001134496,0.064111836,0.023652347,0.06427762,0.0015210109,0.06968871],"study_design_scores_gemma":[0.00008199909,0.0004927938,0.74477065,0.00005648451,0.00010030501,0.00057759107,0.0005361031,0.2040489,0.005491722,0.042054944,0.0016563578,0.00013212576],"about_ca_topic_score_codex":0.0022862724,"about_ca_topic_score_gemma":0.0023542326,"teacher_disagreement_score":0.0025756818,"about_ca_system_score_codex":0.00058894634,"about_ca_system_score_gemma":0.0001565017,"threshold_uncertainty_score":0.011068821},"labels":[],"label_agreement":null},{"id":"W3125676491","doi":"10.1111/eufm.12054","title":"Higher‐moment Risk Exposures in Hedge Funds","year":2014,"lang":"en","type":"article","venue":"European Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Hedge fund; Kurtosis; Skewness; Volatility (finance); Financial economics; Equity (law); Econometrics; Alternative beta; Business; Economics; Hedge accounting; Global assets under management; Actuarial science; Open-end fund; Institutional investor; Finance; Mathematics; Statistics; Corporate governance","score_opus":0.020278003892743417,"score_gpt":0.18574841429847022,"score_spread":0.1654704104057268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125676491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96805835,0.00018959913,0.02902754,0.00039854675,0.000016046008,0.000007575998,0.000075048396,0.000073002935,0.002154354],"genre_scores_gemma":[0.99873465,0.000046149817,0.00059550226,0.000012633973,0.000013857032,0.0000028305853,0.00002490451,0.0000050244603,0.0005645081],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995327,0.00014768864,0.00003076979,0.00010623654,0.00009177703,0.000090912436],"domain_scores_gemma":[0.99559647,0.0020242224,0.00145752,0.00039883217,0.00024649233,0.0002763913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016607913,0.00037846397,0.00064430153,0.0006450677,0.00026047684,0.0018550202,0.0005198298,0.0010439765,0.002324582],"category_scores_gemma":[0.009659272,0.00026240162,0.0006277882,0.00035708875,0.00070729613,0.0019607495,0.0010505083,0.0009518697,0.00014096318],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063921185,0.00027018224,0.17954573,0.00012075187,0.00033323525,0.0016790874,0.001253108,0.33193538,0.018263249,0.42532787,0.0018234181,0.03880882],"study_design_scores_gemma":[0.000044800647,0.00023582294,0.11268701,0.000035265486,0.00012875367,0.0008088957,0.00027062424,0.6131998,0.0040928507,0.26665637,0.00171194,0.00012780227],"about_ca_topic_score_codex":0.0021107602,"about_ca_topic_score_gemma":0.0010205106,"teacher_disagreement_score":0.002324582,"about_ca_system_score_codex":0.0007053004,"about_ca_system_score_gemma":0.00033823165,"threshold_uncertainty_score":0.008783221},"labels":[],"label_agreement":null},{"id":"W3125681361","doi":"10.1111/j.1475-679x.2006.00228.x","title":"Wealth Transfer Effects of Analysts' Misleading Behavior","year":2007,"lang":"en","type":"article","venue":"Journal of Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transfer (computing); Business; Econometrics; Monetary economics; Economics; Computer science","score_opus":0.05841400179211382,"score_gpt":0.3307493146555282,"score_spread":0.2723353128634144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125681361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986405,0.00007145208,0.00026272633,0.000070960086,0.0000016612692,0.000005848995,0.000047156012,0.0000058755118,0.000893813],"genre_scores_gemma":[0.99978346,0.00001892561,0.000050215094,0.000007763263,0.000003907417,0.0000015282676,0.000026193422,5.5660166e-7,0.00010746433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857366,0.0007575282,0.00008305985,0.00016013686,0.00025186,0.00017364715],"domain_scores_gemma":[0.94928765,0.03053653,0.01640608,0.0021874523,0.0007652921,0.0008169813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002963901,0.00034230665,0.00035187326,0.001167618,0.00036321487,0.0009967834,0.0003219619,0.0007233012,0.0025129],"category_scores_gemma":[0.039180957,0.00012741888,0.0002088831,0.00061684335,0.0007221104,0.0011783986,0.00096496125,0.00083257473,0.00024506063],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015375294,0.00070763053,0.9370645,0.000034555746,0.0002933633,0.0009831111,0.0012991965,0.011192204,0.0025143968,0.0025515899,0.00047190726,0.04135],"study_design_scores_gemma":[0.00005766215,0.00048476568,0.96969795,0.000020933718,0.0001773161,0.00059680326,0.00071030855,0.02195063,0.0021060945,0.0036702142,0.00049280975,0.00003443624],"about_ca_topic_score_codex":0.0017499585,"about_ca_topic_score_gemma":0.0013780089,"teacher_disagreement_score":0.002963901,"about_ca_system_score_codex":0.00042611934,"about_ca_system_score_gemma":0.00015037112,"threshold_uncertainty_score":0.01567477},"labels":[],"label_agreement":null},{"id":"W3125683144","doi":"","title":"International Asset Pricing Under Segmentation and PPP Deviations","year":2005,"lang":"en","type":"article","venue":"Archive ouverte UNIGE (University of Geneva)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Capital asset pricing model; Risk premium; Financial economics; Business; Portfolio; Consumption-based capital asset pricing model; Purchasing power parity; Economics; Security market line; Monetary economics; Finance; Stock market; Exchange rate","score_opus":0.020184856232978127,"score_gpt":0.19174711309390227,"score_spread":0.17156225686092413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125683144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806028,0.00026908092,0.012211039,0.00050505815,0.00001610283,0.000012963591,0.00008452661,0.000054803764,0.006243617],"genre_scores_gemma":[0.9990305,0.000105352614,0.00031483092,0.000022034661,0.00001557157,0.0000047334424,0.00006652958,0.000006256098,0.00043420796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99938846,0.00019736474,0.000025291009,0.00009599408,0.00008305797,0.00020984057],"domain_scores_gemma":[0.99387735,0.0029586344,0.001968856,0.00040781713,0.00026234568,0.0005250194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025580795,0.00049291924,0.0007921824,0.0006892653,0.0003200797,0.0026089896,0.00056918646,0.00093317917,0.0029199924],"category_scores_gemma":[0.013083018,0.00021481767,0.00078660756,0.00095724326,0.0018883932,0.0029154755,0.0015904042,0.0016807633,0.00024022564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007135807,0.00024044323,0.15086453,0.000094459596,0.00022501936,0.0018867352,0.0010648689,0.40372664,0.0037516307,0.39920977,0.0027511867,0.035471085],"study_design_scores_gemma":[0.00012725835,0.00028959173,0.06615005,0.000028899274,0.0001322856,0.00035788375,0.00039867082,0.72102934,0.0012966123,0.20908815,0.0010416715,0.000059505477],"about_ca_topic_score_codex":0.006237421,"about_ca_topic_score_gemma":0.0020086754,"teacher_disagreement_score":0.006237421,"about_ca_system_score_codex":0.0011032441,"about_ca_system_score_gemma":0.00054668565,"threshold_uncertainty_score":0.013528585},"labels":[],"label_agreement":null},{"id":"W3125697639","doi":"","title":"Anomalous Trading Prior to Lehman Brothers' Failure","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Monetary economics; Quarter (Canadian coin); Business; Stock (firearms); Insolvency; Volume-weighted average price; Economics; Market maker; Financial system; Finance; Stock market","score_opus":0.039689229729376906,"score_gpt":0.27598809811682623,"score_spread":0.23629886838744932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125697639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99808794,0.00015585904,0.00040630758,0.0001013582,0.000014169264,0.0000038508256,0.00012715106,0.000026391263,0.0010768457],"genre_scores_gemma":[0.99953413,0.000038040667,0.00007613166,0.000010573137,0.000017387394,0.0000018281647,0.00017817905,0.000002926192,0.0001408819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982566,0.000024328034,0.000011832781,0.000040774285,0.000045233723,0.000052229196],"domain_scores_gemma":[0.9980459,0.00074894633,0.00072017015,0.00011401791,0.00011645824,0.0002544366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000495569,0.00018899035,0.00033719753,0.0006008189,0.00039898657,0.0010331022,0.00022873185,0.000570085,0.001447056],"category_scores_gemma":[0.0045115035,0.000122851,0.00017249589,0.00046299002,0.00042627187,0.00058696343,0.00046525587,0.0006666505,0.00030743546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029517026,0.0011811017,0.8735713,0.0001511157,0.00028535895,0.006028575,0.0020799693,0.01899016,0.019439116,0.017310997,0.008761605,0.04924901],"study_design_scores_gemma":[0.000120769146,0.00056044164,0.9104146,0.000050466362,0.00009787806,0.0010473017,0.0009611744,0.06865203,0.0037652105,0.010376651,0.0038807946,0.0000727758],"about_ca_topic_score_codex":0.0028971168,"about_ca_topic_score_gemma":0.0027315642,"teacher_disagreement_score":0.0028971168,"about_ca_system_score_codex":0.00029747508,"about_ca_system_score_gemma":0.00019781059,"threshold_uncertainty_score":0.0057605505},"labels":[],"label_agreement":null},{"id":"W3125706253","doi":"","title":"L-performance with an application to hedge funds","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Sharpe ratio; Hedge fund; Econometrics; Trimming; Skewness; Ranking (information retrieval); Smoothing; Measure (data warehouse); L-moment; Economics; Mathematics; Actuarial science; Computer science; Statistics; Financial economics; Finance; Order statistic; Artificial intelligence","score_opus":0.040749270269401484,"score_gpt":0.2812998087764073,"score_spread":0.24055053850700583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125706253","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056607988,0.0045408844,0.9029362,0.0028614947,0.0004530116,0.0001017348,0.0003274571,0.0011933332,0.030977964],"genre_scores_gemma":[0.8363265,0.0028033361,0.15268087,0.00032336358,0.0012184309,0.00014289565,0.00031667153,0.0003066562,0.0058812583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965335,0.0015804272,0.00018634638,0.00026321542,0.0011979204,0.00023848367],"domain_scores_gemma":[0.9903758,0.005698126,0.0012441792,0.00080054626,0.0015164876,0.00036484856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048560253,0.0010022211,0.00096353673,0.0040896446,0.0005688282,0.0025790574,0.0006674131,0.0014946361,0.0023288834],"category_scores_gemma":[0.030980268,0.00024111023,0.00068921276,0.003352929,0.0015611226,0.0026241103,0.002797622,0.0021906788,0.0007046051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015477842,0.000115918156,0.008370415,0.0002023396,0.00009212348,0.00068507093,0.00029042966,0.30034938,0.003421065,0.45312592,0.009352575,0.22383997],"study_design_scores_gemma":[0.000026406022,0.00015762728,0.0024310087,0.000079728634,0.000024521487,0.00044237057,0.00010938971,0.717171,0.0031264422,0.26427093,0.012079878,0.000080694306],"about_ca_topic_score_codex":0.0013166035,"about_ca_topic_score_gemma":0.00052638754,"teacher_disagreement_score":0.0048560253,"about_ca_system_score_codex":0.0013992104,"about_ca_system_score_gemma":0.00092528743,"threshold_uncertainty_score":0.025681376},"labels":[],"label_agreement":null},{"id":"W3125713255","doi":"10.1002/for.2552","title":"An analysis on the predictability of CAPM beta for momentum returns","year":2018,"lang":"en","type":"article","venue":"Journal of Forecasting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Capital asset pricing model; Predictability; Momentum (technical analysis); BETA (programming language); Economics; Econometrics; Financial economics; Stock (firearms); Estimator; Trading strategy; Mathematics; Statistics; Computer science; Geography","score_opus":0.07226554214504533,"score_gpt":0.25336546121809517,"score_spread":0.18109991907304984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125713255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98674715,0.00017348662,0.0102990735,0.00027826437,0.00002953521,0.00000917073,0.00021014315,0.00013571602,0.0021174953],"genre_scores_gemma":[0.9994281,0.000031305062,0.00027918455,0.0000071449563,0.000022302802,0.0000022001832,0.00012361028,0.00001007779,0.000096080956],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935967,0.00017445518,0.000027622515,0.00012962751,0.00020422367,0.00010440577],"domain_scores_gemma":[0.9647209,0.026956165,0.0035884748,0.0022024892,0.001853004,0.0006789597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003910943,0.00042526025,0.00049119577,0.0016286876,0.00035647926,0.0014937425,0.00041977197,0.0005027288,0.0013657225],"category_scores_gemma":[0.0343869,0.00029964748,0.00036324898,0.000940446,0.0005742772,0.0010158248,0.00045426528,0.001028568,0.00023386073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006510421,0.0001167002,0.7709803,0.000062337764,0.00026040687,0.0013577898,0.0004377487,0.16028221,0.004753385,0.015025193,0.0033212074,0.042751633],"study_design_scores_gemma":[0.000014625297,0.00010195658,0.16941781,0.000024653289,0.000047484762,0.00026416185,0.00007031835,0.82179296,0.0013920298,0.006319879,0.0005164738,0.00003754069],"about_ca_topic_score_codex":0.002824401,"about_ca_topic_score_gemma":0.001263551,"teacher_disagreement_score":0.003910943,"about_ca_system_score_codex":0.0005035947,"about_ca_system_score_gemma":0.00034804587,"threshold_uncertainty_score":0.020683289},"labels":[],"label_agreement":null},{"id":"W3125734623","doi":"","title":"Sampling Interval and estimated Betas: Implications for the Presence of Transitory Components in Stock Prices","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Université de Montréal","keywords":"Stock (firearms); Econometrics; BETA (programming language); Interval (graph theory); Economics; Sampling (signal processing); Mean reversion; Empirical evidence; Statistics; Mathematics; Computer science; Geography","score_opus":0.19040040803771513,"score_gpt":0.3368090442514297,"score_spread":0.14640863621371458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125734623","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3440191,0.0010581786,0.6494968,0.001539436,0.000088369954,0.000071512455,0.00030664034,0.0004485758,0.0029713586],"genre_scores_gemma":[0.9602993,0.00043416303,0.037887387,0.0001905006,0.00013681938,0.00006091866,0.00022381474,0.00007730546,0.000689879],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99548584,0.0021483018,0.00027827537,0.0010618872,0.00075611495,0.00026946433],"domain_scores_gemma":[0.7885694,0.17130071,0.015969682,0.01981822,0.0033302668,0.0010116323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019641548,0.00058639643,0.0008212849,0.0016787059,0.00048712295,0.0023714753,0.0015421323,0.001593834,0.002755605],"category_scores_gemma":[0.20750572,0.0006672824,0.0009539847,0.0014886454,0.0031617905,0.0039475267,0.0013015858,0.0030429603,0.00023850964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090771704,0.00024854447,0.16160505,0.0003141234,0.0004033867,0.002049654,0.0018150427,0.23604508,0.006717747,0.48641747,0.0022965055,0.10117973],"study_design_scores_gemma":[0.00011007237,0.00016546606,0.029647578,0.00009713778,0.00011433353,0.0009521541,0.00012639431,0.70200795,0.003079825,0.26284626,0.0007604248,0.00009243687],"about_ca_topic_score_codex":0.002266662,"about_ca_topic_score_gemma":0.0013885081,"teacher_disagreement_score":0.019641548,"about_ca_system_score_codex":0.001115772,"about_ca_system_score_gemma":0.00067996635,"threshold_uncertainty_score":0.1038757},"labels":[],"label_agreement":null},{"id":"W3125740950","doi":"10.1287/mnsc.2017.2825","title":"Empirical Investigation of an Equity Pairs Trading Strategy","year":2017,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia; University of Oregon","keywords":"Equity (law); Momentum (technical analysis); Trading strategy; Financial economics; Economics; Econometrics; Term (time); Business; Physics; Political science; Law","score_opus":0.13946761989138315,"score_gpt":0.3172111927216807,"score_spread":0.17774357283029754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125740950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99731535,0.00013151647,0.0009585696,0.00013200227,0.000004949917,0.000012422593,0.000101512305,0.000011463694,0.0013321702],"genre_scores_gemma":[0.9994326,0.00003814331,0.00019142502,0.000011799389,0.000008121869,0.0000033400688,0.000108366796,0.0000016951458,0.00020453856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951434,0.0002020118,0.00005034882,0.000077572346,0.00010016784,0.00005542645],"domain_scores_gemma":[0.983922,0.011358022,0.0029761426,0.0007029188,0.0005208618,0.00051996304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016103666,0.00025417918,0.00037178307,0.0010121366,0.00030930317,0.0010588383,0.00047880632,0.00065617147,0.0030271052],"category_scores_gemma":[0.015605615,0.00016594602,0.00023249678,0.0009274746,0.000587375,0.00095306174,0.00058827817,0.000781604,0.00037982297],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007402358,0.0009259175,0.9227359,0.00009823314,0.00030886751,0.0023234647,0.0004919618,0.012271768,0.0034028885,0.014367984,0.0024671268,0.039865654],"study_design_scores_gemma":[0.0001679788,0.00079119933,0.7689898,0.000036972786,0.00016981129,0.0025897871,0.0009636331,0.20811382,0.0032497877,0.012005328,0.0028639867,0.00005796783],"about_ca_topic_score_codex":0.0013166668,"about_ca_topic_score_gemma":0.0009159767,"teacher_disagreement_score":0.0030271052,"about_ca_system_score_codex":0.00036512763,"about_ca_system_score_gemma":0.00016753258,"threshold_uncertainty_score":0.01012671},"labels":[],"label_agreement":null},{"id":"W3125772125","doi":"","title":"Market Quote and Spread Component Cost Behavior Around Trading Halts for Stocks Interlisted on the Montreal and Toronto Stock Exchanges","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; Carleton University","funders":"","keywords":"Stock exchange; Stock (firearms); Business; Open outcry; Monetary economics; Order (exchange); Adverse selection; Algorithmic trading; High-frequency trading; Economics; Financial economics; Alternative trading system; Finance","score_opus":0.03458495220710866,"score_gpt":0.2403694014205983,"score_spread":0.20578444921348962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125772125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993011,0.000028338402,0.000056031327,0.000022128264,0.0000011870261,0.0000026642558,0.0002771228,0.0000058947876,0.0003055913],"genre_scores_gemma":[0.998585,0.000024975929,0.00008823042,0.0000040245686,0.000005250019,0.0000027942265,0.00082513696,0.000003891984,0.000460644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997887,0.000028696533,0.000016871463,0.00003342172,0.000094058756,0.00003825925],"domain_scores_gemma":[0.99218655,0.0028695385,0.0027315875,0.00039967877,0.0011620345,0.0006505543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004993937,0.00023020364,0.0002496216,0.001607831,0.00019146178,0.0008617542,0.00031251184,0.00034026048,0.0028673576],"category_scores_gemma":[0.008280475,0.00015897253,0.00026217033,0.0013474354,0.0002741134,0.00054969,0.0002916591,0.00041601356,0.00027650778],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010790364,0.00014105368,0.96864575,0.000030629442,0.00022167104,0.0002998271,0.0004619543,0.010032751,0.005386368,0.00057419174,0.0009837376,0.012143005],"study_design_scores_gemma":[0.0000063310436,0.000034733614,0.9931681,0.0000015562072,0.00001504619,0.00002514678,0.00009144824,0.0061296173,0.00034651582,0.000066745066,0.00010541993,0.000009459171],"about_ca_topic_score_codex":0.103649214,"about_ca_topic_score_gemma":0.14183296,"teacher_disagreement_score":0.8963508,"about_ca_system_score_codex":0.0012381574,"about_ca_system_score_gemma":0.00033582796,"threshold_uncertainty_score":0.20609176},"labels":[],"label_agreement":null},{"id":"W3125784763","doi":"","title":"The Cross-Section Excess Returns: Risk Factors and Investor Sentiment","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Economics; Market portfolio; Econometrics; Financial economics; Portfolio; Factor analysis; Expected return; Value premium; Common stock; Stock (firearms)","score_opus":0.014831643658739407,"score_gpt":0.22521268097878303,"score_spread":0.21038103732004362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125784763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.443938,0.16144907,0.036140274,0.103640534,0.005167372,0.00015331099,0.019215941,0.0008137834,0.22948161],"genre_scores_gemma":[0.8933089,0.036173854,0.004303804,0.0032332279,0.0071110157,0.00013827538,0.0075664716,0.00024526252,0.04791919],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997805,0.00009539533,0.000012851538,0.00004259505,0.000045643203,0.000023047525],"domain_scores_gemma":[0.9957802,0.0023310515,0.00112642,0.00017176781,0.00037919765,0.00021136666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011185628,0.00061962986,0.00035802563,0.0010004444,0.00023306272,0.0018142401,0.0003950376,0.0009780085,0.046047807],"category_scores_gemma":[0.009328917,0.00015554599,0.00042186055,0.0022662308,0.00040847823,0.0024858662,0.0008463523,0.0011124309,0.0058554737],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034032643,0.00016184755,0.23398617,0.0005022255,0.00039494483,0.00049758033,0.0005600302,0.006576069,0.00032815133,0.17653102,0.28276196,0.29735965],"study_design_scores_gemma":[0.000050609222,0.00021593977,0.5380332,0.0005806675,0.00022711676,0.00080989784,0.00040523903,0.019372739,0.00037172783,0.30930254,0.13052684,0.00010350041],"about_ca_topic_score_codex":0.0022106152,"about_ca_topic_score_gemma":0.0011992434,"teacher_disagreement_score":0.046047807,"about_ca_system_score_codex":0.0005388041,"about_ca_system_score_gemma":0.0002643142,"threshold_uncertainty_score":0.15404528},"labels":[],"label_agreement":null},{"id":"W3125789305","doi":"10.2139/ssrn.1785736","title":"Does Realized Skewness and Kurtosis Predict the Cross-Section of Equity Returns?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Wilfrid Laurier University","funders":"","keywords":"Kurtosis; Skewness; Equity (law); Econometrics; Economics; Financial economics; Statistics; Business; Mathematics; Political science; Law","score_opus":0.03325872079965558,"score_gpt":0.2446822787390053,"score_spread":0.21142355793934972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125789305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982956,0.00019010702,0.00053588743,0.00026922786,0.000012701407,0.00000221807,0.00013920815,0.000010227828,0.0005447767],"genre_scores_gemma":[0.99947685,0.00008388031,0.00006259315,0.000025137038,0.000026296777,0.0000013673268,0.00013972021,0.000004789725,0.00017927996],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994837,0.00019179133,0.000053515843,0.000093386094,0.000060355804,0.00011712615],"domain_scores_gemma":[0.97418064,0.014110294,0.006454544,0.0022993805,0.0009621351,0.0019929858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031724914,0.0005105729,0.00060064544,0.00077685283,0.0002777043,0.002130555,0.00073066104,0.0017979359,0.003926339],"category_scores_gemma":[0.020045066,0.0005166277,0.0008977802,0.00070053915,0.00091775804,0.0025225505,0.0007630156,0.0013390024,0.0021309725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019943238,0.00007373181,0.99464476,0.000007455837,0.00012027329,0.00007869442,0.000077609555,0.000875602,0.00023566002,0.00027685435,0.00018498526,0.003224879],"study_design_scores_gemma":[0.000020631258,0.00013557958,0.98509824,0.000013946554,0.0000651781,0.00025816623,0.00024681468,0.010197574,0.00032428643,0.003397318,0.00022120762,0.000020986432],"about_ca_topic_score_codex":0.0025489985,"about_ca_topic_score_gemma":0.002106094,"teacher_disagreement_score":0.003926339,"about_ca_system_score_codex":0.00024205737,"about_ca_system_score_gemma":0.00040890952,"threshold_uncertainty_score":0.016777933},"labels":[],"label_agreement":null},{"id":"W3125796937","doi":"10.1177/0148558x16654034","title":"Managers’ Cost of Equity Capital Estimates: Empirical Evidence","year":2016,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Capital asset pricing model; Treasury; Estimation; Cost of capital; Equity (law); Business; Empirical evidence; Economics; Econometrics; Finance; Actuarial science; Microeconomics; Management","score_opus":0.09855591783656745,"score_gpt":0.30162336906086906,"score_spread":0.20306745122430161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125796937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938194,0.00077578693,0.0011631508,0.00041044437,0.000006970277,0.000011968573,0.0002782388,0.000012275769,0.0035218329],"genre_scores_gemma":[0.99841475,0.00035641267,0.00065273565,0.00006222931,0.000019330357,0.000007509957,0.00019427836,0.0000027395888,0.00028992037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9943855,0.002000084,0.00066107785,0.0008283664,0.0018652515,0.0002597501],"domain_scores_gemma":[0.8120152,0.08353941,0.07605443,0.009652334,0.016963897,0.0017747831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008232032,0.0002845155,0.00026353312,0.0017041327,0.00030785048,0.0013654506,0.0005747977,0.0005832571,0.0016226458],"category_scores_gemma":[0.072489955,0.00032775424,0.00019531531,0.0017795423,0.00062090444,0.0013510212,0.00081059657,0.0006019917,0.00045462634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054824275,0.000078900055,0.9757616,0.000049210383,0.00007870519,0.000030945215,0.0012771855,0.00040814703,0.00021591326,0.00043790854,0.00080042233,0.020806214],"study_design_scores_gemma":[0.000010942386,0.00017701006,0.9901839,0.000116529925,0.00004773648,0.00014774928,0.0022773051,0.0023648543,0.0009367087,0.00049203023,0.0032247335,0.00002044334],"about_ca_topic_score_codex":0.00356102,"about_ca_topic_score_gemma":0.0048481533,"teacher_disagreement_score":0.008232032,"about_ca_system_score_codex":0.0006526119,"about_ca_system_score_gemma":0.00049246184,"threshold_uncertainty_score":0.04353565},"labels":[],"label_agreement":null},{"id":"W3125804475","doi":"","title":"Complexity of Information and Trading Behavior: The Case of Dividend Increase Announcements","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Dividend; Stock market; Shareholder; Business; Stock (firearms); Common stock; Financial economics; Monetary economics; Economics; Finance; Corporate governance","score_opus":0.027734515278778977,"score_gpt":0.2250125724058693,"score_spread":0.19727805712709032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125804475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99730444,0.00008955384,0.00079081615,0.0002460333,0.000003407488,0.000014987444,0.000038959653,0.0000058138157,0.0015060117],"genre_scores_gemma":[0.99941945,0.000035396268,0.00034196064,0.00002518584,0.000013413885,0.000004472261,0.00003630578,0.000002542513,0.00012127506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982668,0.00075617095,0.000102991275,0.00019638757,0.0004395533,0.00023810331],"domain_scores_gemma":[0.8432611,0.12613252,0.021707306,0.004102986,0.0016618418,0.0031342884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029397656,0.00027017837,0.00068933424,0.001045992,0.0004525779,0.0024118423,0.0003818361,0.0012916974,0.00240948],"category_scores_gemma":[0.06661922,0.00030181993,0.000560227,0.00070479844,0.0010801851,0.003270894,0.0013696058,0.0021976973,0.00019290613],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007892331,0.0023809571,0.83418214,0.00038277725,0.0008081049,0.0034330522,0.008003314,0.04260404,0.02999436,0.018637706,0.0011682294,0.05051304],"study_design_scores_gemma":[0.00021760809,0.001292361,0.84140915,0.000044863333,0.00021772971,0.0012400218,0.0025190974,0.124626175,0.0036761279,0.023636008,0.0009564562,0.0001643504],"about_ca_topic_score_codex":0.0018501125,"about_ca_topic_score_gemma":0.0014110752,"teacher_disagreement_score":0.0029397656,"about_ca_system_score_codex":0.00068407843,"about_ca_system_score_gemma":0.00035666313,"threshold_uncertainty_score":0.015547097},"labels":[],"label_agreement":null},{"id":"W3125824533","doi":"10.1111/1911-3846.12519","title":"Illiquidity and the Measurement of Stock Price Synchronicity","year":2019,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Synchronicity; Economics; Econometrics; Stock (firearms); Financial economics; Stock market; Stock price; Sample (material); Monetary economics; Psychology; Geography; Physics","score_opus":0.11429193155991123,"score_gpt":0.28441447579618234,"score_spread":0.1701225442362711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125824533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893958,0.00026847815,0.007123367,0.000113420916,0.000011357456,0.0000157177,0.0005006609,0.00005535343,0.002515878],"genre_scores_gemma":[0.99918693,0.000040479514,0.00048621625,0.000011271498,0.000008694013,0.0000031412646,0.00016939503,0.0000047906747,0.00008908147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978375,0.00075242313,0.00043590143,0.0003319571,0.0005182712,0.00012390013],"domain_scores_gemma":[0.9254034,0.017163651,0.048650175,0.0053375433,0.0025918712,0.0008532913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046488107,0.0003337497,0.00042744316,0.002561173,0.00024648488,0.0018729415,0.0004441176,0.00040580914,0.0018241995],"category_scores_gemma":[0.03795307,0.00022648726,0.00032476574,0.0027545097,0.0009254127,0.0025986112,0.0017451413,0.0005805212,0.00029608523],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036724762,0.00006922161,0.9605689,0.000095983065,0.00031358804,0.0001590855,0.0006089002,0.009490221,0.0030868086,0.008993639,0.0005061076,0.015740156],"study_design_scores_gemma":[0.000040070056,0.0004217227,0.929753,0.00007248204,0.00013133253,0.0003668459,0.000646328,0.03487733,0.0074661733,0.024718992,0.0014114059,0.00009444213],"about_ca_topic_score_codex":0.0020202019,"about_ca_topic_score_gemma":0.0014838023,"teacher_disagreement_score":0.0046488107,"about_ca_system_score_codex":0.0006246072,"about_ca_system_score_gemma":0.0005055387,"threshold_uncertainty_score":0.024585545},"labels":[],"label_agreement":null},{"id":"W3125842137","doi":"10.1111/j.1936-4490.2002.tb00270.x","title":"Aftermarket Volatility and Underpricing of Canadian Initial Public Offerings","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Initial public offering; Volatility (finance); Valuation (finance); Financial economics; Economics; Monetary economics; Business; Accounting","score_opus":0.1812283709257577,"score_gpt":0.2792231752902715,"score_spread":0.09799480436451383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125842137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967776,0.00026088048,0.00005480067,0.000050470735,0.0000025356446,0.00000422357,0.0010497278,0.000006018191,0.001793905],"genre_scores_gemma":[0.99844897,0.00014515255,0.000034068584,0.0000055183737,0.000006460942,0.0000011313496,0.00058680715,0.0000014368436,0.0007705612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968636,0.00000912947,0.000010417355,0.000032119096,0.0001965262,0.000065490094],"domain_scores_gemma":[0.997535,0.00023950207,0.0012393034,0.00006449087,0.00068371877,0.00023784958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003192815,0.00017557072,0.00017088011,0.0014935796,0.0003726004,0.001131163,0.00025057612,0.00020268778,0.0021583787],"category_scores_gemma":[0.0017316575,0.000102924816,0.00026686766,0.0014858857,0.00025681686,0.00033977683,0.00028811296,0.00028389445,0.00014825942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016752246,0.000031537747,0.98127776,0.000035576413,0.00007874228,0.00028357917,0.0007008612,0.0011192283,0.0025208313,0.00037792983,0.0008079448,0.012598472],"study_design_scores_gemma":[8.6186833e-7,0.000010457126,0.99864346,0.000003138158,0.000006815856,0.000026164202,0.0001070191,0.0003551033,0.00034534218,0.000013529765,0.00048397275,0.0000042170254],"about_ca_topic_score_codex":0.7155205,"about_ca_topic_score_gemma":0.7821169,"teacher_disagreement_score":0.2844795,"about_ca_system_score_codex":0.0059036817,"about_ca_system_score_gemma":0.0021494688,"threshold_uncertainty_score":0.57230973},"labels":[],"label_agreement":null},{"id":"W3125851687","doi":"10.1016/j.ememar.2015.01.002","title":"Exchange risk premia and firm characteristics","year":2015,"lang":"en","type":"article","venue":"The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Hanyang University","keywords":"Risk premium; Stock exchange; Market liquidity; Capital asset pricing model; Foreign exchange risk; Business; Monetary economics; Exchange rate; Financial economics; Foreign ownership; Liquidity premium; Liquidity risk; Stock (firearms); Economics; Econometrics; Finance","score_opus":0.03961175075427311,"score_gpt":0.23133062402195456,"score_spread":0.19171887326768144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125851687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929369,0.0005008709,0.0007902073,0.00045564622,0.000012983557,0.000020700903,0.0018991202,0.000029192313,0.003354383],"genre_scores_gemma":[0.9974934,0.00010502733,0.000076815166,0.000018560837,0.000024719186,0.000004306428,0.00070478604,0.0000043145674,0.0015680213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994455,0.0001134853,0.00008032668,0.000106036474,0.00008528432,0.00016932125],"domain_scores_gemma":[0.9642998,0.015488214,0.01494916,0.001559492,0.0006713557,0.0030319921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017983742,0.0001994954,0.000384937,0.001745998,0.00034300948,0.002264571,0.0003540718,0.00095217774,0.014475126],"category_scores_gemma":[0.011739681,0.00021498466,0.00041769928,0.0021759598,0.00042833688,0.0013442207,0.0006008515,0.0014670438,0.0022155526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043297073,0.00016698001,0.9894298,0.000017315806,0.00016806799,0.00029862777,0.00009866057,0.0017126154,0.00027813672,0.0014238692,0.00076983357,0.0052031963],"study_design_scores_gemma":[0.000029483666,0.00015462222,0.9921772,0.0000133943,0.000087044944,0.00041651478,0.00025867196,0.0030094439,0.00024892474,0.0027353244,0.0008508278,0.000018464314],"about_ca_topic_score_codex":0.0020778982,"about_ca_topic_score_gemma":0.0020125217,"teacher_disagreement_score":0.014475126,"about_ca_system_score_codex":0.00031143305,"about_ca_system_score_gemma":0.00030491024,"threshold_uncertainty_score":0.048424184},"labels":[],"label_agreement":null},{"id":"W3125857823","doi":"10.1093/rfs/hhaa125","title":"How is Liquidity Priced in Global Markets?","year":2020,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche","keywords":"Market liquidity; Liquidity premium; Capital asset pricing model; Market segmentation; Liquidity risk; Financial economics; Risk premium; Business; Monetary economics; Liquidity crisis; Economics; Microeconomics","score_opus":0.07282516498401553,"score_gpt":0.27386669885151776,"score_spread":0.20104153386750223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125857823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78183794,0.013935567,0.1174022,0.020042649,0.00024790847,0.000040037536,0.00071929285,0.00023090822,0.06554356],"genre_scores_gemma":[0.99473566,0.001490821,0.00094505853,0.00022166832,0.00009419601,0.000011810675,0.000052174593,0.00001855792,0.0024300201],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999728,0.00010386289,0.00000886201,0.00005795645,0.000034229968,0.00006714122],"domain_scores_gemma":[0.9988618,0.00054506666,0.00034815617,0.000053620337,0.000076956574,0.0001144624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096575223,0.0004280299,0.00068284635,0.0008954279,0.0004625253,0.004664897,0.000631535,0.0016309019,0.0047606076],"category_scores_gemma":[0.003567777,0.00029810707,0.0006510753,0.0009678851,0.0018142799,0.0076413127,0.0012220709,0.0011408133,0.00027483463],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016646266,0.000046602756,0.012605319,0.00020347252,0.00017271156,0.0009411408,0.00040551645,0.12496235,0.002109112,0.83080155,0.0040597245,0.023526026],"study_design_scores_gemma":[0.000043147265,0.000046428286,0.004245628,0.00009382019,0.00006933765,0.00020482542,0.00025980317,0.13392682,0.00047640374,0.8568986,0.0036916693,0.00004353256],"about_ca_topic_score_codex":0.0025728191,"about_ca_topic_score_gemma":0.0013743861,"teacher_disagreement_score":0.0047606076,"about_ca_system_score_codex":0.0010299442,"about_ca_system_score_gemma":0.00048892765,"threshold_uncertainty_score":0.015925765},"labels":[],"label_agreement":null},{"id":"W3125866195","doi":"10.55016/ojs/sppp.v8i1.42518","title":"Estimating Discount Rates","year":2015,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Econometrics; Mathematics","score_opus":0.10857562239718845,"score_gpt":0.3036050723574841,"score_spread":0.19502944996029564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125866195","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018520052,0.007959274,0.88683337,0.001598848,0.0014366384,0.0007341789,0.0068236897,0.0015767975,0.07451723],"genre_scores_gemma":[0.38421106,0.015942339,0.5541961,0.00066925696,0.0009875293,0.0012804221,0.01001376,0.0012883423,0.03141113],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9932933,0.0017691861,0.00075373694,0.0009807707,0.0028433912,0.00035976252],"domain_scores_gemma":[0.9692569,0.014543962,0.004365176,0.0042457236,0.0071340078,0.0004542553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010451845,0.0018013298,0.0010197457,0.004470455,0.0008362999,0.006240402,0.0020960295,0.0018066991,0.013026933],"category_scores_gemma":[0.087429754,0.001024852,0.0014896628,0.004147656,0.000599104,0.008943938,0.0020442263,0.00317401,0.007034824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024402891,0.000105298,0.030079441,0.0009799819,0.00030996418,0.00034943028,0.0009160938,0.06362467,0.0010928056,0.24719448,0.041613128,0.61349076],"study_design_scores_gemma":[0.00009182298,0.00025637267,0.013851442,0.0017862971,0.00028686898,0.0010728996,0.0014677419,0.15917169,0.0057345848,0.36772314,0.44815958,0.00039757],"about_ca_topic_score_codex":0.006982164,"about_ca_topic_score_gemma":0.0030493625,"teacher_disagreement_score":0.013026933,"about_ca_system_score_codex":0.0020319847,"about_ca_system_score_gemma":0.001694446,"threshold_uncertainty_score":0.05527526},"labels":[],"label_agreement":null},{"id":"W3125881296","doi":"","title":"Recursive Measures of Total Wealth and Portfolio Return","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Portfolio; Rate of return on a portfolio; Economics; Value (mathematics); Aggregate (composite); Econometrics; Mathematical optimization; Mathematical economics; Computer science; Portfolio optimization; Actuarial science; Mathematics; Financial economics; Statistics","score_opus":0.057513250537226834,"score_gpt":0.28207602986290414,"score_spread":0.2245627793256773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125881296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046588574,0.00027886216,0.9482942,0.00013566349,0.00003926169,0.00008430168,0.0002908903,0.00035222917,0.003936059],"genre_scores_gemma":[0.5934278,0.00072708935,0.3998005,0.00009714701,0.000118510725,0.0004344059,0.0009611645,0.00025316185,0.004180174],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99866116,0.00051611726,0.00007822598,0.00019452229,0.00044564172,0.00010434046],"domain_scores_gemma":[0.99143606,0.004962413,0.00096279976,0.0014580043,0.0010342626,0.00014645011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031458747,0.00058182457,0.0005667293,0.001993218,0.00032072363,0.0015386312,0.0009473491,0.00075932423,0.0036420706],"category_scores_gemma":[0.028660195,0.00035138417,0.0005679606,0.0012972968,0.0009207039,0.003073924,0.0011069819,0.0011880107,0.00071104773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000717644,0.0000882819,0.0071455785,0.00010847526,0.00009442675,0.00012516804,0.00029603083,0.13484277,0.003088729,0.7052518,0.0024421404,0.14644478],"study_design_scores_gemma":[0.000028505328,0.00010656109,0.0062087784,0.00007148628,0.000036416794,0.00017495603,0.00005232832,0.5136287,0.0037813033,0.46969748,0.006150717,0.00006279787],"about_ca_topic_score_codex":0.00076139765,"about_ca_topic_score_gemma":0.00091193314,"teacher_disagreement_score":0.0036420706,"about_ca_system_score_codex":0.0006126845,"about_ca_system_score_gemma":0.0005623263,"threshold_uncertainty_score":0.016637146},"labels":[],"label_agreement":null},{"id":"W3125887008","doi":"","title":"Do Local Analysts Know More? A Cross-Country Study of the Performance of Local Analysts and Foreign Analysts","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Queen's University","funders":"","keywords":"Earnings; Business; Sample (material); Stock (firearms); Quality (philosophy); Accounting; Monetary economics; Economics","score_opus":0.025091802530284292,"score_gpt":0.2867252390154292,"score_spread":0.26163343648514487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125887008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956291,0.00058530254,0.00005800942,0.000786283,0.000013249843,0.00000623311,0.00031852192,0.0000032476578,0.0026000624],"genre_scores_gemma":[0.9977406,0.00025524278,0.000034221626,0.00014384957,0.000016816954,0.0000069437124,0.00021083283,0.000005026683,0.0015865157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984162,0.0007779599,0.000075282216,0.00017369082,0.0001844825,0.00037227952],"domain_scores_gemma":[0.965717,0.0144037055,0.009548692,0.001310504,0.0047258367,0.0042941426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003926434,0.0001645635,0.00032327,0.0016621961,0.0011234643,0.0019781515,0.00039095178,0.0006623315,0.0051876553],"category_scores_gemma":[0.01792117,0.00023721853,0.00026175796,0.0026073547,0.000824809,0.001976387,0.0010828663,0.0011454179,0.0016900708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071932207,0.00033814055,0.95780736,0.000055518063,0.00019242446,0.00033018438,0.01773728,0.00020995102,0.00020368665,0.00064962404,0.00538709,0.016369384],"study_design_scores_gemma":[0.000029504386,0.00019962725,0.95584387,0.00005121774,0.00006834665,0.00022573944,0.039742667,0.00027078786,0.00015178008,0.00017659432,0.0032087471,0.0000311218],"about_ca_topic_score_codex":0.035713255,"about_ca_topic_score_gemma":0.04555445,"teacher_disagreement_score":0.035713255,"about_ca_system_score_codex":0.0011101379,"about_ca_system_score_gemma":0.00062835,"threshold_uncertainty_score":0.07101077},"labels":[],"label_agreement":null},{"id":"W3125897486","doi":"10.2139/ssrn.1900950","title":"Dynamic Effects of Idiosyncratic Volatility and Liquidity on Corporate Bond Spreads","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Volatility (finance); Market liquidity; Corporate bond; Bond; Monetary economics; Economics; Financial economics; Business; Financial system; Finance","score_opus":0.021345461297100916,"score_gpt":0.19511598964599958,"score_spread":0.17377052834889867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125897486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997004,0.00015732426,0.0007329313,0.00025082054,0.00000648186,0.0000030164383,0.00013513473,0.000016766136,0.0016934467],"genre_scores_gemma":[0.9992336,0.00008521608,0.000067348825,0.00001556118,0.000009706422,0.0000014731406,0.00004597887,0.0000065855256,0.0005345574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997068,0.000092723705,0.000018922192,0.000054409218,0.00003178308,0.000095279924],"domain_scores_gemma":[0.9882153,0.00896071,0.0013602655,0.00036133706,0.0003577254,0.00074462616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012229623,0.00031130246,0.0004924792,0.00058272283,0.00032120466,0.0025459367,0.0003819948,0.0013889994,0.0056270603],"category_scores_gemma":[0.013849079,0.0005535487,0.0004922276,0.00064469344,0.00068152795,0.0018797474,0.00095361343,0.0017305088,0.0005528126],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009135154,0.0019478387,0.57940876,0.00026274088,0.0010366937,0.0047299387,0.0014343751,0.24380633,0.053400468,0.056799386,0.0035188422,0.044519518],"study_design_scores_gemma":[0.0004944591,0.00077528204,0.6730368,0.000047449477,0.00061532645,0.0007564514,0.0008408119,0.28036225,0.005004819,0.03683877,0.0010466408,0.00018097294],"about_ca_topic_score_codex":0.0032017329,"about_ca_topic_score_gemma":0.00348381,"teacher_disagreement_score":0.0056270603,"about_ca_system_score_codex":0.0005346205,"about_ca_system_score_gemma":0.00035135535,"threshold_uncertainty_score":0.018824399},"labels":[],"label_agreement":null},{"id":"W3125912594","doi":"","title":"Is there a 'Torpedo Effect' in Earning Announcement Returns? The Role of Short-Sales Constraints and Investor Disagreement","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Earnings; Economics; Value (mathematics); Torpedo; Monetary economics; Microeconomics; Financial economics; Advertising; Business; Finance; Mathematics","score_opus":0.02279697941951436,"score_gpt":0.22488298971463183,"score_spread":0.20208601029511747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125912594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777329,0.00041500808,0.004825964,0.0012906103,0.000060101742,0.000046791713,0.00016653504,0.000055424745,0.015406618],"genre_scores_gemma":[0.9989458,0.00010025857,0.00027168894,0.00016988876,0.000045091536,0.000008773262,0.000031626052,0.000009978367,0.00041696092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981359,0.0005582143,0.00014224015,0.00041287034,0.00039662432,0.00035421088],"domain_scores_gemma":[0.9347526,0.039605774,0.01708215,0.0048235236,0.0010140977,0.0027217614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056658634,0.00034789013,0.0012274495,0.00071399333,0.00050108903,0.0026145445,0.00078054186,0.0012951456,0.009115494],"category_scores_gemma":[0.03755192,0.000492451,0.0008018597,0.00066712464,0.0026452218,0.002894951,0.0019611127,0.0022552717,0.00062629656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0066806423,0.0011330596,0.7834425,0.00062330917,0.0013851387,0.0022948135,0.002321139,0.016614007,0.026212156,0.06935626,0.0038834175,0.08605363],"study_design_scores_gemma":[0.00058628374,0.0009289374,0.8824852,0.000070172755,0.0005844399,0.00057634834,0.0013748334,0.025057308,0.0054725027,0.080067776,0.0026256177,0.0001706318],"about_ca_topic_score_codex":0.0015620057,"about_ca_topic_score_gemma":0.001371266,"teacher_disagreement_score":0.009115494,"about_ca_system_score_codex":0.00061394216,"about_ca_system_score_gemma":0.00060509506,"threshold_uncertainty_score":0.030494332},"labels":[],"label_agreement":null},{"id":"W3125914657","doi":"10.1016/s1057-0810(02)00101-4","title":"Variable annuities versus mutual funds","year":2001,"lang":"en","type":"article","venue":"Financial Services Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"TIAA Institute; TIAA-CREF Institute","keywords":"Variable (mathematics); Actuarial science; Economics; Econometrics; Business; Mathematics","score_opus":0.03746145857999155,"score_gpt":0.23519766230299216,"score_spread":0.1977362037230006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125914657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6356876,0.102193505,0.067285135,0.005436602,0.0007186215,0.00017088577,0.0004092911,0.00016843503,0.18792999],"genre_scores_gemma":[0.9809279,0.008248035,0.005413902,0.0003103372,0.00015132288,0.000039391784,0.00006584915,0.000014592347,0.0048287213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99806756,0.001004003,0.000095241165,0.00016878075,0.00053078815,0.00013368411],"domain_scores_gemma":[0.9970855,0.0015937991,0.0007868604,0.00016191872,0.0002651285,0.0001067568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023683256,0.00026290448,0.00044089556,0.00072844495,0.00026248346,0.0015913047,0.00047171654,0.0008657203,0.0048932983],"category_scores_gemma":[0.008259477,0.00007976651,0.00024320689,0.0011607767,0.0011171965,0.001743963,0.00058573025,0.0006147959,0.00038943434],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008496524,0.00006484731,0.0048013404,0.00056395255,0.0001478436,0.00012598786,0.0001362711,0.014126541,0.001500247,0.7591274,0.0026073484,0.21594858],"study_design_scores_gemma":[0.0006285346,0.0025623173,0.028771464,0.0014411756,0.0006321028,0.0014462182,0.0006441802,0.031888176,0.014003228,0.56405056,0.35379222,0.00013988209],"about_ca_topic_score_codex":0.00077166373,"about_ca_topic_score_gemma":0.00059084134,"teacher_disagreement_score":0.0048932983,"about_ca_system_score_codex":0.0007686624,"about_ca_system_score_gemma":0.00048558728,"threshold_uncertainty_score":0.0163697},"labels":[],"label_agreement":null},{"id":"W3125923366","doi":"","title":"How useful are historical data for forecasting the long-run equity return distribution?","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Econometrics; Equity (law); Economics; Distribution (mathematics); Mathematics","score_opus":0.2189004623192572,"score_gpt":0.3356302532879068,"score_spread":0.1167297909686496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125923366","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23953211,0.012479025,0.7162177,0.011963497,0.0010709945,0.00011498973,0.0064434996,0.0007748831,0.011403265],"genre_scores_gemma":[0.92693585,0.005459523,0.062151577,0.00041066596,0.0008784193,0.00007694056,0.002790268,0.00008123218,0.0012155405],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859613,0.0006629515,0.00012542699,0.00025766742,0.00027114997,0.00008654821],"domain_scores_gemma":[0.9726511,0.018646797,0.0028865386,0.0032487083,0.0021176268,0.00044928622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065055885,0.0009450219,0.0010275445,0.0030258116,0.00048193536,0.0031576394,0.0013121889,0.002168892,0.0023914091],"category_scores_gemma":[0.05207154,0.00070920895,0.0005944893,0.0025257417,0.0007787369,0.009823592,0.00080613245,0.0021539265,0.0007474839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031228847,0.0002730067,0.18615033,0.00054961117,0.00066128967,0.00031223902,0.00038157144,0.32180506,0.0015031674,0.07640073,0.008928859,0.40272188],"study_design_scores_gemma":[0.000055204695,0.0001946371,0.03930525,0.0006390267,0.00019922128,0.00022660077,0.0004758105,0.6868718,0.0020020958,0.2564153,0.013417278,0.00019775632],"about_ca_topic_score_codex":0.0048680226,"about_ca_topic_score_gemma":0.005752777,"teacher_disagreement_score":0.0065055885,"about_ca_system_score_codex":0.0006253881,"about_ca_system_score_gemma":0.0005431486,"threshold_uncertainty_score":0.03440529},"labels":[],"label_agreement":null},{"id":"W3125936828","doi":"","title":"Performance of Canadian Mutual Funds and Investors","year":2004,"lang":"en","type":"article","venue":"World Scientific Book Chapters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Mutual fund; Closed-end fund; Business; Fund of funds; Institutional investor; Passive management; Open-end fund; Expense ratio; Commodity pool; Stable value fund; Index fund; Finance; Index (typography); Sample (material); Market timing; Initial public offering; Corporate governance; Computer science","score_opus":0.03310976402908904,"score_gpt":0.18008274621411685,"score_spread":0.1469729821850278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125936828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842615,0.0013969543,0.000089444,0.00049146,0.000010211314,0.00002430277,0.0034771669,0.000028797404,0.0102202],"genre_scores_gemma":[0.99318814,0.00054821256,0.00012105109,0.00004331037,0.000009134979,0.0000068780073,0.001604084,0.000005696791,0.0044734655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998104,0.00010872072,0.000063081236,0.0001123854,0.001143334,0.00046849294],"domain_scores_gemma":[0.9935056,0.0005401309,0.0018935218,0.00016671694,0.0026503673,0.0012436346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013677998,0.0004157624,0.0003230448,0.0036390782,0.0017654351,0.0020202114,0.0006904848,0.00051301304,0.0024376125],"category_scores_gemma":[0.0082913395,0.00014317082,0.00032348986,0.0060886247,0.00061056874,0.0006621914,0.0010571083,0.00026383682,0.00034712435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002049244,0.000043380944,0.94071037,0.000052951902,0.00007643355,0.00024904156,0.0019737482,0.001282367,0.00033828124,0.0022503934,0.006948614,0.04586931],"study_design_scores_gemma":[0.0000055595015,0.000033458546,0.98885906,0.000015209323,0.000019124143,0.00012750273,0.00096370553,0.0009629535,0.00026467373,0.000107395215,0.008602555,0.000038849517],"about_ca_topic_score_codex":0.9688393,"about_ca_topic_score_gemma":0.98122096,"teacher_disagreement_score":0.031160712,"about_ca_system_score_codex":0.029419823,"about_ca_system_score_gemma":0.015473981,"threshold_uncertainty_score":0.21345675},"labels":[],"label_agreement":null},{"id":"W3125944498","doi":"10.1111/1911-3846.12584","title":"Endogeneity and the Dynamics of Voluntary Disclosure Quality: Is there Really an Effect on the Cost of Equity Capital?*","year":2019,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Endogeneity; Voluntary disclosure; Economics; Equity (law); Simultaneity; Turnover; Equity capital; Panel data; Econometrics; Quality (philosophy); Monetary economics; Finance","score_opus":0.1031810059832668,"score_gpt":0.3345661854066047,"score_spread":0.23138517942333792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125944498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969235,0.0024108016,0.01821894,0.0032404442,0.00006173889,0.000084088686,0.0013935049,0.000060973885,0.005294624],"genre_scores_gemma":[0.99769235,0.00029861357,0.0007417596,0.00010925553,0.00003327761,0.000011908417,0.0002693476,0.000009273745,0.0008342659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966785,0.0012658057,0.0004086708,0.0005790118,0.00068371766,0.0003842385],"domain_scores_gemma":[0.8225556,0.106896386,0.05587824,0.01015578,0.0032954644,0.0012185401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008178598,0.00024763393,0.00072582497,0.00096284435,0.0003754606,0.0029174958,0.0007521761,0.0011027739,0.003978778],"category_scores_gemma":[0.044243976,0.0003754706,0.0008188507,0.0015565576,0.001561611,0.0020013151,0.0012823928,0.0014412544,0.00025950096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016870111,0.00011669748,0.9550514,0.00011282449,0.0005404442,0.00018423321,0.00039907207,0.009522674,0.0011151672,0.01261974,0.00062765577,0.019541362],"study_design_scores_gemma":[0.000021390646,0.00010293982,0.96266425,0.00008928457,0.0002656541,0.00017510471,0.00034944055,0.020490136,0.0016816986,0.012237454,0.0018817793,0.00004084675],"about_ca_topic_score_codex":0.0077724713,"about_ca_topic_score_gemma":0.007999622,"teacher_disagreement_score":0.008178598,"about_ca_system_score_codex":0.00141639,"about_ca_system_score_gemma":0.0009921578,"threshold_uncertainty_score":0.043253064},"labels":[],"label_agreement":null},{"id":"W3125979381","doi":"10.1093/rfs/hhz070","title":"Back-Running: Seeking and Hiding Fundamental Information in Order Flows*","year":2019,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":204,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Order (exchange); Harm; Information flow; Exploit; Flow (mathematics); Business; Computer science; Economics; Computer security; Finance; Mathematics; Law; Political science","score_opus":0.0354643392894114,"score_gpt":0.25361913651763723,"score_spread":0.21815479722822584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125979381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.562065,0.0017151937,0.3965301,0.004843367,0.00019280626,0.0001149425,0.0003549552,0.00028696642,0.033896685],"genre_scores_gemma":[0.98366576,0.000489792,0.009556699,0.00017945933,0.00007342988,0.000027549395,0.00005786875,0.00002893533,0.005920546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99863595,0.0006442459,0.00006096277,0.0002599564,0.0001797613,0.00021913373],"domain_scores_gemma":[0.9891818,0.0063788393,0.0026084206,0.00087795535,0.00040345406,0.0005496423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027308953,0.0007329202,0.000914429,0.000687859,0.00068305794,0.0039642034,0.0012735558,0.0024132333,0.0056151273],"category_scores_gemma":[0.014715057,0.0006009781,0.0007181424,0.00078793545,0.0035081347,0.0056028166,0.0018536655,0.0020345207,0.0006801089],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008791299,0.00021246115,0.009565723,0.00024568694,0.00013063362,0.00091006653,0.00095126993,0.23895226,0.0042767627,0.7016303,0.0031193544,0.039126363],"study_design_scores_gemma":[0.00010287055,0.00016810646,0.0016201593,0.000059221147,0.00008595312,0.00016737716,0.00018896032,0.5841032,0.0012255722,0.40945494,0.0027565463,0.00006708971],"about_ca_topic_score_codex":0.0034287958,"about_ca_topic_score_gemma":0.0017910738,"teacher_disagreement_score":0.0056151273,"about_ca_system_score_codex":0.0011816826,"about_ca_system_score_gemma":0.001173725,"threshold_uncertainty_score":0.018784404},"labels":[],"label_agreement":null},{"id":"W3125982192","doi":"","title":"Price Improvement and Execution Risk in Lit and Dark Markets","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Dark tourism; Business; Systemic risk; Economics; Monetary economics; Financial economics; Financial crisis; Macroeconomics; Geography","score_opus":0.00770723677803173,"score_gpt":0.19524523038046673,"score_spread":0.187537993602435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125982192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98181087,0.00065013836,0.009819657,0.0013058422,0.00003976574,0.000016200625,0.00007809051,0.00007919523,0.0062001324],"genre_scores_gemma":[0.998287,0.00008868825,0.00022007608,0.000029946292,0.000034647153,0.000002511821,0.000023238981,0.0000072976723,0.0013065859],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994498,0.00012585582,0.000037111946,0.00008775258,0.00009756458,0.00020199084],"domain_scores_gemma":[0.97974765,0.01009949,0.005756838,0.000865897,0.0007537075,0.0027764675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033857939,0.00037646125,0.00090783293,0.0008466706,0.00064595824,0.0035893416,0.00075467816,0.0019491378,0.008487302],"category_scores_gemma":[0.024545327,0.00031374686,0.0005175481,0.0005225096,0.0024181998,0.0047415574,0.0015579922,0.0029142976,0.0002692103],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041750506,0.001205075,0.12008975,0.00023666966,0.00032152867,0.0023262224,0.0012064738,0.09880355,0.007128855,0.71079034,0.005453447,0.04826305],"study_design_scores_gemma":[0.00036420507,0.0008950474,0.06303363,0.000036405836,0.00020536929,0.00042298157,0.00088034774,0.25888342,0.001333511,0.67242163,0.0013862327,0.00013716586],"about_ca_topic_score_codex":0.0016199381,"about_ca_topic_score_gemma":0.0011338816,"teacher_disagreement_score":0.008487302,"about_ca_system_score_codex":0.0008108037,"about_ca_system_score_gemma":0.00057003147,"threshold_uncertainty_score":0.028392911},"labels":[],"label_agreement":null},{"id":"W3125992945","doi":"10.3905/jii.2014.5.2.057","title":"Market Reactions to Changes in the S&amp;P/TSX SmallCap Index","year":2014,"lang":"en","type":"article","venue":"The Journal of Index Investing","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University","funders":"","keywords":"Equity (law); Index (typography); Economics; Stock (firearms); Index fund; Financial economics; Monetary economics; Finance; Institutional investor; Law; Political science; Computer science","score_opus":0.061554306194376324,"score_gpt":0.23983985370080863,"score_spread":0.1782855475064323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125992945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99545896,0.000073028445,0.00005809218,0.00017061447,0.000013745461,0.000012582368,0.0003299685,0.00001628961,0.0038667668],"genre_scores_gemma":[0.9981652,0.000079948215,0.00008336132,0.000050915685,0.000024717605,0.000004264797,0.0004950709,0.0000035650678,0.0010929222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993243,0.00003952499,0.000043820877,0.000052507326,0.00043904266,0.000100896155],"domain_scores_gemma":[0.99216664,0.0013390722,0.0044159475,0.00021240853,0.0012879672,0.0005779578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004989178,0.0002146232,0.0002306738,0.0010820007,0.00034032456,0.0013185367,0.0003171642,0.00043987227,0.0026180933],"category_scores_gemma":[0.00655371,0.000081037855,0.00024165247,0.0011391444,0.0004757092,0.00048154392,0.00042267345,0.00046684095,0.00030497767],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074881606,0.00017406303,0.9520039,0.00006687861,0.00013279702,0.00048411978,0.00062206475,0.0019283822,0.015814181,0.0009157426,0.0029293438,0.024179775],"study_design_scores_gemma":[0.0000042653755,0.0000756454,0.9965237,0.0000030378094,0.000013962918,0.00003780945,0.000283209,0.0006055139,0.0015434745,0.000101307975,0.0007997953,0.000008275328],"about_ca_topic_score_codex":0.14859325,"about_ca_topic_score_gemma":0.16637744,"teacher_disagreement_score":0.14859325,"about_ca_system_score_codex":0.0019626897,"about_ca_system_score_gemma":0.00092256773,"threshold_uncertainty_score":0.29545665},"labels":[],"label_agreement":null},{"id":"W3126013561","doi":"10.1017/s0022109020000502","title":"Global Liquidity Provision and Risk Sharing","year":2020,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Lethbridge","funders":"","keywords":"Market liquidity; Liquidity risk; Business; Monetary economics; Volatility (finance); Liquidity crisis; Listing (finance); Cross listing; Financial system; Economics; Finance; Corporate governance","score_opus":0.0488492479643872,"score_gpt":0.26187232262868815,"score_spread":0.21302307466430095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126013561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961521,0.000572777,0.00015488587,0.00023452351,0.0000036460835,0.0000026427374,0.00018669211,0.0000070951855,0.0026856284],"genre_scores_gemma":[0.99968815,0.00007355872,0.000022689412,0.000013579848,0.0000068477057,5.08357e-7,0.000058711594,9.4981755e-7,0.00013516583],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998116,0.00004505463,0.000017638635,0.000035166635,0.000035132412,0.000055433367],"domain_scores_gemma":[0.996102,0.00040888687,0.0028736526,0.0001402045,0.00016918621,0.0003060871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004470631,0.0001447537,0.0001819154,0.0010383313,0.00021336022,0.0011567428,0.00014391213,0.00026294007,0.0038481914],"category_scores_gemma":[0.002530329,0.000063590676,0.0001765117,0.0012819659,0.00046861923,0.0008623214,0.00095876673,0.00030962774,0.0002116447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098223776,0.000036960093,0.979385,0.000033782846,0.000096448966,0.00020655266,0.00073332776,0.0014727884,0.0006944163,0.0016643112,0.00060999376,0.014968177],"study_design_scores_gemma":[0.0000077295435,0.00006112932,0.99277025,0.000050431856,0.000044516695,0.00027311113,0.0010480577,0.0011788284,0.00044740934,0.0022658103,0.0018378268,0.000014904145],"about_ca_topic_score_codex":0.0024294748,"about_ca_topic_score_gemma":0.0030200821,"teacher_disagreement_score":0.0038481914,"about_ca_system_score_codex":0.0003434866,"about_ca_system_score_gemma":0.00023217335,"threshold_uncertainty_score":0.012873471},"labels":[],"label_agreement":null},{"id":"W3126013864","doi":"","title":"Conditional Risk and Performance Evaluation: Volatility Timing, Overconditioning, and New Estimates of Momentum Alphas","year":2011,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Volatility (finance); Economics; Econometrics; Equity (law); Estimator; Ex-ante; Forward volatility; Realized variance; Market timing; BETA (programming language); Stochastic volatility; Financial economics; Statistics; Mathematics; Computer science; Macroeconomics","score_opus":0.09569359521891627,"score_gpt":0.24608886712277872,"score_spread":0.15039527190386245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126013864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.812042,0.0007529472,0.17647822,0.0006730892,0.00007048255,0.00005322753,0.00039551064,0.0007349159,0.008799685],"genre_scores_gemma":[0.98542875,0.000094625226,0.013597312,0.000046710393,0.000048500307,0.00001661869,0.00025210733,0.000050232175,0.00046524208],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99538004,0.0017930726,0.00035896522,0.00069318607,0.0014685116,0.00030626307],"domain_scores_gemma":[0.9214815,0.042889558,0.01711315,0.012528023,0.0048623416,0.0011253885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012002956,0.00093716144,0.00069472945,0.0013920214,0.00037337502,0.0027378625,0.0008722566,0.0007892562,0.0014322925],"category_scores_gemma":[0.09748065,0.00038453707,0.0004989518,0.0013924828,0.0011917856,0.0027027645,0.0015813056,0.0015660438,0.0003454239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012853339,0.0005664189,0.6206766,0.00017952725,0.0005817727,0.00026367293,0.0011763663,0.071004964,0.006281851,0.044583797,0.002453166,0.2509466],"study_design_scores_gemma":[0.00015803512,0.0011166693,0.4488208,0.00023114438,0.00043929802,0.00035503958,0.00037726355,0.46782243,0.026615085,0.050021145,0.0037437282,0.00029936587],"about_ca_topic_score_codex":0.0021135753,"about_ca_topic_score_gemma":0.0020619133,"teacher_disagreement_score":0.012002956,"about_ca_system_score_codex":0.00070077926,"about_ca_system_score_gemma":0.0012247722,"threshold_uncertainty_score":0.06347847},"labels":[],"label_agreement":null},{"id":"W3126014277","doi":"10.1111/j.1468-036x.2010.00576.x","title":"Hedge Fund Regulation and Misreported Returns","year":2010,"lang":"en","type":"article","venue":"European Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Hedge fund; Open-end fund; Robustness (evolution); Performance fee; Closed-end fund; Business; Economics; Returns-based style analysis; Fund administration; Index fund; Econometrics; Finance; Fund of funds; Microeconomics; Corporate governance; Incentive; Institutional investor","score_opus":0.029363914879702968,"score_gpt":0.20221269483555232,"score_spread":0.17284877995584935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126014277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937943,0.0004416688,0.0031517963,0.00027131912,0.000016994258,0.00002155273,0.0004408358,0.000025775716,0.0018358352],"genre_scores_gemma":[0.9989768,0.000064949054,0.00036611542,0.00003187913,0.000018955465,0.000007240621,0.00021115365,0.000003955218,0.00031897728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99021965,0.0043591917,0.0015969799,0.0011341755,0.0020428926,0.00064713997],"domain_scores_gemma":[0.6754605,0.10094793,0.19327007,0.020226792,0.008776909,0.0013177643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012577111,0.00022745591,0.00050060585,0.0018060112,0.0002840691,0.0020597833,0.0006536679,0.0007006974,0.0022775528],"category_scores_gemma":[0.093746275,0.00022246833,0.00040084354,0.002183348,0.00093854923,0.001170351,0.001034486,0.0007443818,0.00029348867],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016920561,0.000066919085,0.9837249,0.0000389422,0.00021698496,0.00007106068,0.00034405343,0.002297255,0.0002330659,0.0018333697,0.00061774836,0.010386439],"study_design_scores_gemma":[0.000012851242,0.00010522988,0.9853631,0.000057366793,0.00013665335,0.00025939496,0.000572032,0.0068054656,0.002378469,0.002307441,0.001971226,0.000030788422],"about_ca_topic_score_codex":0.0021310528,"about_ca_topic_score_gemma":0.0011934908,"teacher_disagreement_score":0.012577111,"about_ca_system_score_codex":0.00065388874,"about_ca_system_score_gemma":0.00033057632,"threshold_uncertainty_score":0.06651497},"labels":[],"label_agreement":null},{"id":"W3126029344","doi":"","title":"Equity Premium Prediction: The Role of Economic and Statistical Constraints","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Predictability; Equity premium puzzle; Econometrics; Economics; Equity (law); Regression; Risk premium; Financial economics; Statistics; Mathematics","score_opus":0.04057719901326306,"score_gpt":0.29808761645812937,"score_spread":0.2575104174448663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126029344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5390592,0.001609578,0.44356063,0.00467362,0.00018754292,0.00005869954,0.00065046607,0.00063001574,0.009570167],"genre_scores_gemma":[0.991886,0.00027606514,0.0063411896,0.00023333196,0.00013386953,0.000012808229,0.00025172383,0.000057248162,0.0008077317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99776006,0.0008349752,0.00012269718,0.000531663,0.0004761213,0.00027437808],"domain_scores_gemma":[0.9444415,0.044085503,0.00562598,0.00383397,0.0014038068,0.0006092078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010440734,0.0009271389,0.0013962574,0.0005974341,0.00045676675,0.0027740072,0.001419059,0.001166828,0.0024083778],"category_scores_gemma":[0.06492371,0.000692227,0.0005462478,0.0006320049,0.0015634946,0.004123553,0.0014494619,0.0033023048,0.00030911042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039175604,0.000197853,0.06436366,0.00015521886,0.00033824894,0.00084940623,0.00020778466,0.7076797,0.0033943763,0.1547326,0.0041885385,0.063500844],"study_design_scores_gemma":[0.000030638064,0.000054274515,0.010455369,0.000029150326,0.000043179985,0.00012041271,0.000028976898,0.9093643,0.0016208038,0.07767415,0.00053786684,0.00004090379],"about_ca_topic_score_codex":0.004868854,"about_ca_topic_score_gemma":0.0033589513,"teacher_disagreement_score":0.010440734,"about_ca_system_score_codex":0.00066193426,"about_ca_system_score_gemma":0.0013724609,"threshold_uncertainty_score":0.05521655},"labels":[],"label_agreement":null},{"id":"W3126053622","doi":"10.1111/j.1540-6261.2004.00662.x","title":"Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards","year":2004,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2400,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"The Internet; Stock (firearms); Volatility (finance); Stock market; Business; Financial market; Index (typography); Financial economics; Advertising; Economics; Finance; Computer science; Engineering; World Wide Web; History","score_opus":0.07332628401308791,"score_gpt":0.2346444236429387,"score_spread":0.16131813962985078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126053622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920133,0.0003199116,0.0003646297,0.0020558264,0.000040449664,0.000014712538,0.00024923944,0.000026617805,0.004915366],"genre_scores_gemma":[0.99810094,0.00021210327,0.00016557593,0.0003092416,0.00013159121,0.000011211031,0.00017794919,0.000018282779,0.0008730436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808323,0.0008559986,0.00009838863,0.00025566353,0.0004986543,0.0002080386],"domain_scores_gemma":[0.9072967,0.071828425,0.013595919,0.0028018954,0.0020963533,0.0023806833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023863951,0.00024519057,0.00047089104,0.001071912,0.0006206843,0.00332884,0.00046554135,0.0013002793,0.0070480034],"category_scores_gemma":[0.04361285,0.00037501182,0.00032354784,0.0011251983,0.0014650883,0.0024932579,0.0008109234,0.0017538329,0.001170753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032422228,0.0037028673,0.8594589,0.0004982895,0.00058475806,0.00054735685,0.009730876,0.0055741947,0.011510875,0.008661629,0.010545519,0.08594234],"study_design_scores_gemma":[0.00014949289,0.0010611204,0.9635544,0.000184912,0.0006017162,0.0002686518,0.0058200075,0.0085480185,0.0039315186,0.009872503,0.005910078,0.000097693],"about_ca_topic_score_codex":0.0043001226,"about_ca_topic_score_gemma":0.002956303,"teacher_disagreement_score":0.0070480034,"about_ca_system_score_codex":0.0006621425,"about_ca_system_score_gemma":0.00036591096,"threshold_uncertainty_score":0.023577929},"labels":[],"label_agreement":null},{"id":"W3126132886","doi":"10.2139/ssrn.1313284","title":"Performance and Characteristics of Mutual Fund Starts","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; York University","funders":"","keywords":"Mutual fund; Business; Economics; Actuarial science; Finance","score_opus":0.024799245295045368,"score_gpt":0.19417628584042923,"score_spread":0.16937704054538386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126132886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964335,0.0001587871,0.000073958014,0.00007981043,0.0000059006743,0.0000075025564,0.00037246494,0.000013489246,0.0028546494],"genre_scores_gemma":[0.9985667,0.0000488148,0.000029993327,0.000008176044,0.0000152118855,0.000002907778,0.00047336263,0.000004535576,0.0008503301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998611,0.00031929315,0.00016128377,0.00017764291,0.00029393745,0.0004368617],"domain_scores_gemma":[0.94021106,0.022677286,0.02293414,0.0013431427,0.0031203164,0.009714001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028438333,0.00014958858,0.00034051065,0.001876431,0.0004938073,0.0021486662,0.0005733947,0.0008889253,0.0069264],"category_scores_gemma":[0.026199404,0.00018040689,0.00030426471,0.0013232689,0.000515068,0.0015601164,0.0010080213,0.0007667365,0.0014366453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015384855,0.00020855856,0.9863042,0.000027350305,0.000097116375,0.00021029136,0.0005730858,0.0013250083,0.00084144546,0.001594086,0.0006601168,0.0066202576],"study_design_scores_gemma":[0.000019897767,0.0003956487,0.9956014,0.000014579095,0.000028025688,0.00018941739,0.0007504328,0.0010640813,0.00044135805,0.00067372335,0.00080469996,0.000016619533],"about_ca_topic_score_codex":0.0019164837,"about_ca_topic_score_gemma":0.0032591065,"teacher_disagreement_score":0.0069264,"about_ca_system_score_codex":0.0007340788,"about_ca_system_score_gemma":0.00073301943,"threshold_uncertainty_score":0.023171067},"labels":[],"label_agreement":null},{"id":"W3126138093","doi":"","title":"The Capital Gain Lock-In Effect and Long-Horizon Return Reversal","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economics; Capital asset pricing model; Stock (firearms); Monetary economics; Financial economics; Return on capital; Econometrics; Rate of return; Microeconomics; Finance; Financial capital; Capital formation; Engineering","score_opus":0.006996052681180662,"score_gpt":0.1970249838820436,"score_spread":0.19002893120086292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126138093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8084637,0.0010911718,0.1671142,0.0021266292,0.00013519991,0.00007518308,0.00013749268,0.00042402695,0.020432333],"genre_scores_gemma":[0.99706286,0.00013201454,0.0011620569,0.00007806422,0.000043088592,0.000006982516,0.000016679123,0.000010948643,0.0014872379],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99929106,0.00016924457,0.000038626527,0.00011459374,0.0001305503,0.00025596318],"domain_scores_gemma":[0.9892513,0.005420313,0.0033439756,0.001132383,0.00036242977,0.00048955163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030661689,0.0004571076,0.0009677514,0.0004944008,0.00034206902,0.0017125045,0.0009290396,0.0011506863,0.004377155],"category_scores_gemma":[0.015854666,0.00033516958,0.00086636434,0.00030647995,0.0015956236,0.0028913538,0.0011722634,0.0018664374,0.00041608693],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018531304,0.001407723,0.11527716,0.0003462962,0.000502452,0.005493674,0.00059812766,0.23838755,0.015033315,0.5349098,0.0042445306,0.081946306],"study_design_scores_gemma":[0.00032881915,0.0010515231,0.059561253,0.00005629581,0.000330176,0.0025372298,0.00020418814,0.63566947,0.007788254,0.288334,0.0039716586,0.00016707774],"about_ca_topic_score_codex":0.0014146873,"about_ca_topic_score_gemma":0.00088047195,"teacher_disagreement_score":0.004377155,"about_ca_system_score_codex":0.0007488796,"about_ca_system_score_gemma":0.00079329923,"threshold_uncertainty_score":0.016215622},"labels":[],"label_agreement":null},{"id":"W3126145103","doi":"10.34989/swp-2014-13","title":"Bond Risk Premia and Gaussian Term Structure Models","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Predictability; Risk premium; Econometrics; Yield curve; Economics; Bond; Short rate; Recession; Term (time); Conditional expectation; Forward rate; Yield (engineering); Interest rate; Statistics; Mathematics; Monetary economics; Macroeconomics; Finance; Physics","score_opus":0.03462350145812459,"score_gpt":0.26385931446001315,"score_spread":0.22923581300188856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126145103","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37806338,0.0066686035,0.5849464,0.0061480063,0.0002423571,0.00010055328,0.0012199265,0.000698321,0.02191242],"genre_scores_gemma":[0.9733985,0.0028200524,0.015307611,0.00020853945,0.00019317138,0.000058287245,0.00057642825,0.000063285646,0.007374072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993869,0.00021136929,0.000028711987,0.00014699352,0.00012433987,0.00010166691],"domain_scores_gemma":[0.9945802,0.003171131,0.0011021126,0.00050063233,0.0004026442,0.00024324295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030829005,0.0007212087,0.000807624,0.0011837803,0.00040583254,0.0021391606,0.0010024022,0.0015451455,0.0033642247],"category_scores_gemma":[0.017474532,0.00046116757,0.000703997,0.0012834393,0.0013280767,0.003097115,0.0008353111,0.001859407,0.00062526535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005665811,0.000047061527,0.007862578,0.00005059627,0.00009269921,0.000091487214,0.00012668717,0.15451778,0.00045491656,0.8198439,0.0032880448,0.013567629],"study_design_scores_gemma":[0.000020138663,0.00002535144,0.0031511795,0.000021036012,0.00002570525,0.000055182485,0.000025715794,0.3296941,0.0001667645,0.6649662,0.0018241161,0.000024527022],"about_ca_topic_score_codex":0.0060596354,"about_ca_topic_score_gemma":0.0030317686,"teacher_disagreement_score":0.0060596354,"about_ca_system_score_codex":0.0012222211,"about_ca_system_score_gemma":0.00071864144,"threshold_uncertainty_score":0.016304135},"labels":[],"label_agreement":null},{"id":"W3126465499","doi":"10.5430/ijfr.v12n3p345","title":"Early Results on Depth of the Nascent Kenyan Derivative Market","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Derivatives market; Futures contract; Forward market; Equity (law); Business; Derivative (finance); Financial economics; Stock exchange; Market depth; Stock market; Economics; Monetary economics; Finance","score_opus":0.09174768568149555,"score_gpt":0.32925322889893704,"score_spread":0.2375055432174415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126465499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97730505,0.00082551886,0.0006222667,0.00027528228,0.000008324435,0.000044382527,0.0003676193,0.000004124102,0.02054744],"genre_scores_gemma":[0.9961047,0.00055483455,0.0007172732,0.000047105805,0.000010275532,0.000013856519,0.0001602414,0.000005137646,0.002386506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995359,0.00009308961,0.000045539873,0.000051097173,0.00019235325,0.000082054205],"domain_scores_gemma":[0.9968086,0.0016143923,0.00070256565,0.00008589813,0.0006380647,0.00015051286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011833671,0.00014384669,0.00012985537,0.00173499,0.0006495428,0.0017945273,0.00017583945,0.0002740136,0.00409836],"category_scores_gemma":[0.005044629,0.00012607517,0.00013358779,0.001570745,0.0009259189,0.0030056217,0.000807895,0.0003841029,0.0002372667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015419747,0.00023215865,0.54702026,0.0017464758,0.00009629312,0.0032046952,0.13638107,0.0016358806,0.038929876,0.045644026,0.0033132,0.22025411],"study_design_scores_gemma":[0.000012640737,0.0003687906,0.8228393,0.00049234676,0.000055047436,0.0010713914,0.09703968,0.0020400505,0.009194534,0.0045735333,0.06223986,0.00007282689],"about_ca_topic_score_codex":0.0059231236,"about_ca_topic_score_gemma":0.0131082935,"teacher_disagreement_score":0.0059231236,"about_ca_system_score_codex":0.0014682092,"about_ca_system_score_gemma":0.00068709865,"threshold_uncertainty_score":0.01371038},"labels":[],"label_agreement":null},{"id":"W3126676019","doi":"10.1093/rfs/hhab009","title":"Can Cross-Border Funding Frictions Explain Financial Integration Reversals?","year":2021,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Ontario Tech University","funders":"","keywords":"Leverage (statistics); Financial integration; Portfolio; Capital asset pricing model; Capital flows; Portfolio investment; Stock (firearms); Economics; Monetary economics; Financial economics; International investment; Financial market; Foreign direct investment; Business; International economics; Finance; Macroeconomics; Microeconomics","score_opus":0.06770772263941224,"score_gpt":0.3509576940148908,"score_spread":0.2832499713754786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126676019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9516228,0.009934556,0.013185337,0.0041606454,0.0000952903,0.000042714197,0.00045131086,0.000064705855,0.020442652],"genre_scores_gemma":[0.99819857,0.00085812993,0.00040937058,0.00006808738,0.00003930334,0.00000656987,0.000074345815,0.0000050590356,0.00034070387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940574,0.00016725947,0.00007715166,0.000119586606,0.00010578299,0.00012438692],"domain_scores_gemma":[0.98424983,0.0051762196,0.008564228,0.00075534265,0.0007980848,0.00045621357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002683515,0.00034445937,0.00060042675,0.0020822613,0.00044715108,0.0031603633,0.00064350467,0.0010877609,0.0071211923],"category_scores_gemma":[0.018737664,0.00021606908,0.00051389256,0.002257308,0.0012999399,0.0031747674,0.0011315116,0.001220876,0.00045924113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024404052,0.00019777486,0.74428034,0.00050525065,0.00047324243,0.0010086672,0.0011366302,0.019654484,0.0010631436,0.13960387,0.0042414623,0.08759099],"study_design_scores_gemma":[0.00006781656,0.00012006023,0.68156517,0.0006077858,0.00036944618,0.0004602236,0.002653392,0.075725175,0.0010388063,0.22732122,0.0099902125,0.000080741105],"about_ca_topic_score_codex":0.004629382,"about_ca_topic_score_gemma":0.003195902,"teacher_disagreement_score":0.0071211923,"about_ca_system_score_codex":0.0008039495,"about_ca_system_score_gemma":0.00057655456,"threshold_uncertainty_score":0.023822784},"labels":[],"label_agreement":null},{"id":"W3127162319","doi":"10.1093/rof/rfab004","title":"Informed Trading and Momentum in the Corporate Bond Market","year":2021,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Bond; Issuer; Market liquidity; Momentum (technical analysis); Business; Corporate bond; Bond market; Financial economics; Monetary economics; Economics; Financial system; Finance","score_opus":0.06645257478029608,"score_gpt":0.22834905350386517,"score_spread":0.1618964787235691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127162319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98590547,0.001251756,0.005979918,0.00030746916,0.000014148046,0.000009120685,0.00003642458,0.000019183424,0.0064765336],"genre_scores_gemma":[0.9990088,0.0002950377,0.000292553,0.000015448402,0.000013306465,0.0000018105895,0.000010149182,0.0000014887668,0.00036129268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997681,0.000089761365,0.000012941739,0.000028170716,0.00006483836,0.000036189307],"domain_scores_gemma":[0.99573755,0.0021974163,0.0015545709,0.00014638805,0.00017863103,0.00018534504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009965298,0.00017231324,0.0002926083,0.0004749387,0.00016681844,0.00136121,0.00015897055,0.0005197424,0.0020348656],"category_scores_gemma":[0.00709746,0.00012679034,0.00017231802,0.00044155712,0.00048130486,0.0013711074,0.0003594187,0.00039692695,0.00013117319],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028438321,0.0009542488,0.30880812,0.000428314,0.00075623696,0.0024432216,0.0011027176,0.14058806,0.035805617,0.32067972,0.0029833748,0.18260653],"study_design_scores_gemma":[0.00031110572,0.000874113,0.35390556,0.00013960413,0.0002987031,0.0009806157,0.0007335531,0.2762919,0.0060324348,0.35549274,0.004841956,0.00009760645],"about_ca_topic_score_codex":0.00069910765,"about_ca_topic_score_gemma":0.0005031775,"teacher_disagreement_score":0.0020348656,"about_ca_system_score_codex":0.00023462075,"about_ca_system_score_gemma":0.0001609428,"threshold_uncertainty_score":0.0068073273},"labels":[],"label_agreement":null},{"id":"W3127380563","doi":"10.1016/j.finmar.2021.100621","title":"Fast traders make a quick buck: The role of speed in liquidity provision","year":2021,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Stanford Institute for Economic Policy Research","keywords":"Market liquidity; Adverse selection; Equity (law); Stock exchange; Monetary economics; Business; Stock (firearms); Event study; Private information retrieval; Terrorism; Market maker; Economics; Financial economics; Actuarial science; Finance; Computer science; Computer security; Stock market","score_opus":0.01771384826817715,"score_gpt":0.21066055223656927,"score_spread":0.1929467039683921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127380563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9290114,0.005618865,0.022132212,0.009071534,0.0005349059,0.00004161425,0.00035437144,0.00024271448,0.03299241],"genre_scores_gemma":[0.99582374,0.0005899179,0.0012719461,0.00023851756,0.00016442938,0.000006555421,0.000029074154,0.00005866406,0.0018171052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99950886,0.00016368234,0.000030420388,0.00009660557,0.00009561467,0.00010486485],"domain_scores_gemma":[0.9820842,0.012103226,0.002962615,0.0009847208,0.00091361906,0.00095153315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024780603,0.0003900753,0.00061460986,0.0009998803,0.00084217114,0.0065866606,0.000823179,0.0018508444,0.011098228],"category_scores_gemma":[0.03221837,0.00062177965,0.0003717898,0.000728679,0.0016892673,0.008981812,0.001300551,0.0022289855,0.0011689205],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0062572607,0.0008217804,0.16444002,0.00064832316,0.0005959425,0.0018821473,0.0038569004,0.06548541,0.016396854,0.49689004,0.022321442,0.22040391],"study_design_scores_gemma":[0.0007048153,0.0006936239,0.12996142,0.00034596643,0.0005299423,0.0009749934,0.0041693486,0.12996037,0.0047799745,0.7100027,0.017479073,0.00039778624],"about_ca_topic_score_codex":0.0018245269,"about_ca_topic_score_gemma":0.0012661024,"teacher_disagreement_score":0.011098228,"about_ca_system_score_codex":0.00059068034,"about_ca_system_score_gemma":0.0006814571,"threshold_uncertainty_score":0.037127316},"labels":[],"label_agreement":null},{"id":"W3127447463","doi":"","title":"Liquidity Level or Liquidity Risk? A Fresh Look with New Measures","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Market liquidity; Accounting liquidity; Liquidity crisis; Liquidity risk; Liquidity premium; Stock (firearms); Monetary economics; Liquidity trap; Funding liquidity; Market maker; Business; Economics; Financial economics; Stock market; Geography","score_opus":0.06617667836563688,"score_gpt":0.2220602682246327,"score_spread":0.1558835898589958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127447463","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026078768,0.72310644,0.027566541,0.20099482,0.0054986584,0.000070904374,0.0008205699,0.00011851056,0.015744776],"genre_scores_gemma":[0.36315128,0.48305035,0.048274003,0.048619524,0.0439437,0.0003168539,0.0013294383,0.00037345497,0.010941378],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970522,0.0013555815,0.000376046,0.00052801974,0.00057946454,0.000108657536],"domain_scores_gemma":[0.9619981,0.027955946,0.003253381,0.0022416443,0.0038005016,0.00075052195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010323879,0.0022397724,0.003384174,0.008171794,0.00087123376,0.0075887027,0.0025661453,0.002823574,0.010236033],"category_scores_gemma":[0.033949234,0.0009479468,0.002199008,0.0071032625,0.009528563,0.035720214,0.0033971223,0.013782604,0.0014136226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079006085,0.0006801834,0.057510298,0.004892091,0.0016770285,0.0007360487,0.00489255,0.0037941458,0.002538045,0.3842326,0.06725905,0.47099778],"study_design_scores_gemma":[0.00014075226,0.0008615253,0.0634689,0.00788608,0.0004915361,0.00078737666,0.0071679535,0.009111823,0.001144281,0.6835973,0.2247175,0.0006249541],"about_ca_topic_score_codex":0.0039710514,"about_ca_topic_score_gemma":0.0035486342,"teacher_disagreement_score":0.010323879,"about_ca_system_score_codex":0.0020805201,"about_ca_system_score_gemma":0.00085062283,"threshold_uncertainty_score":0.05459857},"labels":[],"label_agreement":null},{"id":"W3127555530","doi":"10.2139/ssrn.3694403","title":"Volatility Measurement with Pockets of Extreme Return Persistence","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Volatility (finance); Economics; Econometrics; Persistence (discontinuity); Financial economics; Monetary economics; Geology","score_opus":0.07753941575730107,"score_gpt":0.19392946129350402,"score_spread":0.11639004553620295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127555530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89796543,0.00048194532,0.0918306,0.000269701,0.00007881141,0.000034056855,0.0011424903,0.0007494889,0.0074476283],"genre_scores_gemma":[0.9957449,0.000053370954,0.0036724182,0.000017365839,0.000033323955,0.000008261593,0.00018739069,0.000036971906,0.00024592984],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931216,0.00016105152,0.0000465448,0.00016444316,0.00018755782,0.0001283164],"domain_scores_gemma":[0.9959488,0.0016790997,0.0009732751,0.00092805,0.00024847867,0.00022223052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011294403,0.00037371297,0.00047333652,0.00183228,0.00032608304,0.0014626266,0.00041521463,0.000823974,0.003146482],"category_scores_gemma":[0.009241845,0.0003030676,0.00034815175,0.0019194029,0.00046243495,0.0026940985,0.0017559923,0.0010638173,0.0004983589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038210405,0.00042363102,0.32026833,0.00035975358,0.0006157356,0.0015168177,0.0013200277,0.054993983,0.06575359,0.07891539,0.007054581,0.46495703],"study_design_scores_gemma":[0.00012443843,0.000975629,0.26851264,0.00016133951,0.00018442479,0.002519756,0.0005824111,0.5769298,0.025750838,0.11769253,0.0063144844,0.0002516232],"about_ca_topic_score_codex":0.00030065503,"about_ca_topic_score_gemma":0.00026858167,"teacher_disagreement_score":0.003146482,"about_ca_system_score_codex":0.00021119916,"about_ca_system_score_gemma":0.00019804706,"threshold_uncertainty_score":0.010526001},"labels":[],"label_agreement":null},{"id":"W3128505201","doi":"10.1016/j.jedc.2021.104081","title":"Voluntary information disclosure with heterogeneous beliefs","year":2021,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Insider; Insider trading; Incentive; Voluntary disclosure; Business; Asset (computer security); Exploit; Public disclosure; Turnover; Full disclosure; Information sharing; Microeconomics; Economics; Public relations; Accounting; Finance; Political science; Law; Computer security","score_opus":0.004886095926562552,"score_gpt":0.16614671963338348,"score_spread":0.16126062370682093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128505201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7926853,0.0008465692,0.18183014,0.006240784,0.00019426594,0.0001429616,0.00056736375,0.00030870707,0.01718388],"genre_scores_gemma":[0.994453,0.00013030611,0.0019617274,0.00010371438,0.00008082554,0.000023528462,0.00005479773,0.000009273718,0.0031828089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9951159,0.0022483717,0.0003378239,0.00069284387,0.00067093514,0.0009340427],"domain_scores_gemma":[0.83849454,0.1287328,0.015870294,0.012488527,0.0028336684,0.0015802077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010716326,0.0007898291,0.0021631937,0.001105901,0.0008597551,0.0043412587,0.0017198569,0.0042208815,0.004948162],"category_scores_gemma":[0.079902455,0.0011149888,0.0009767718,0.0013399203,0.0027921135,0.005988709,0.0020734821,0.0028773656,0.00055104296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021959024,0.0007107003,0.020033907,0.00033505698,0.00034083775,0.0024687487,0.0012510658,0.11078104,0.0028617824,0.80110496,0.0054063955,0.052509636],"study_design_scores_gemma":[0.00032426696,0.00018358111,0.004578979,0.000048966147,0.00011524688,0.0006770361,0.00025109274,0.3653068,0.0012172533,0.6264456,0.0007816396,0.00006955007],"about_ca_topic_score_codex":0.0013059834,"about_ca_topic_score_gemma":0.0007309591,"teacher_disagreement_score":0.010716326,"about_ca_system_score_codex":0.0009970141,"about_ca_system_score_gemma":0.0008657748,"threshold_uncertainty_score":0.056674004},"labels":[],"label_agreement":null},{"id":"W3129546352","doi":"10.2139/ssrn.3788744","title":"Option Price Implied Information and REIT Returns","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Real estate investment trust; Financial economics; Economics; Business; Information asymmetry; Monetary economics; Finance; Real estate","score_opus":0.010415723587926135,"score_gpt":0.1922101157229395,"score_spread":0.18179439213501336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129546352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8472725,0.00253399,0.10869848,0.006171696,0.0001759679,0.000042361575,0.0012570427,0.0005551963,0.033292703],"genre_scores_gemma":[0.98692816,0.00056005176,0.0018696311,0.000091408154,0.000112658585,0.000010051862,0.00034155868,0.00005952468,0.010026917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992562,0.00020718675,0.000057576384,0.00011751318,0.00020905721,0.00015250804],"domain_scores_gemma":[0.96807814,0.022503937,0.005455775,0.0019243361,0.0012341052,0.0008037747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032110738,0.0007632109,0.0009908822,0.0014178434,0.00035769795,0.004364259,0.0014735262,0.0030949088,0.01713172],"category_scores_gemma":[0.04581085,0.00061254523,0.00061000773,0.0016653206,0.0011743987,0.00906583,0.0010420231,0.0038970266,0.0015777616],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011662294,0.00040874153,0.031612787,0.00032400418,0.00016248973,0.0023507122,0.0006601033,0.18431751,0.0036208625,0.70115423,0.0063440115,0.06787834],"study_design_scores_gemma":[0.00006705924,0.00013739259,0.019857295,0.00006393055,0.00007657077,0.00061581016,0.00015401717,0.52036875,0.0018018155,0.4551181,0.0016381234,0.00010118373],"about_ca_topic_score_codex":0.0015129622,"about_ca_topic_score_gemma":0.0014687455,"teacher_disagreement_score":0.01713172,"about_ca_system_score_codex":0.0009722025,"about_ca_system_score_gemma":0.00041790516,"threshold_uncertainty_score":0.057311296},"labels":[],"label_agreement":null},{"id":"W3130008482","doi":"10.2139/ssrn.3707154","title":"On the Effects of Continuous Trading","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Business; Computer science","score_opus":0.013179683840027266,"score_gpt":0.18491441896664862,"score_spread":0.17173473512662135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130008482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9537923,0.0024937526,0.01197872,0.003191828,0.00029057835,0.000026539958,0.00031619085,0.00014493775,0.027765028],"genre_scores_gemma":[0.99610436,0.00032961895,0.0004021791,0.000077330544,0.0000833497,0.0000059973904,0.00004092255,0.000016547707,0.002939599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938476,0.00027396053,0.000026170894,0.000086959044,0.00007084306,0.0001571494],"domain_scores_gemma":[0.94205594,0.05247631,0.0017480534,0.0012251311,0.00078917766,0.0017053426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030908627,0.00057586725,0.0010360428,0.000617637,0.00047414683,0.0023804246,0.0010464296,0.0017120308,0.018358171],"category_scores_gemma":[0.028575433,0.00037111028,0.0006481836,0.0005060095,0.0014820236,0.0023076443,0.0010863349,0.0027122677,0.00058990216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008719003,0.0025064826,0.034278482,0.0006808289,0.0005571292,0.002433654,0.0007533747,0.44956535,0.01207924,0.3919088,0.015085471,0.08143222],"study_design_scores_gemma":[0.0006015801,0.0009058302,0.028359655,0.00007460459,0.00036630413,0.00023157436,0.0005632138,0.7643968,0.001558012,0.20096658,0.0018594087,0.00011645446],"about_ca_topic_score_codex":0.0038121284,"about_ca_topic_score_gemma":0.0023672576,"teacher_disagreement_score":0.018358171,"about_ca_system_score_codex":0.0006382646,"about_ca_system_score_gemma":0.00065109786,"threshold_uncertainty_score":0.061414182},"labels":[],"label_agreement":null},{"id":"W3130015011","doi":"10.1287/mnsc.2020.3871","title":"Costly Interpretation of Asset Prices","year":2021,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sophistication; Economics; Volatility (finance); Asset (computer security); Complementarity (molecular biology); Microeconomics; Financial economics; Capital asset pricing model; Computer science","score_opus":0.02285990524874447,"score_gpt":0.23000831361361226,"score_spread":0.2071484083648678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130015011","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33628753,0.001201333,0.54061925,0.014541274,0.00024980863,0.00011371567,0.00050602295,0.00021160343,0.10626944],"genre_scores_gemma":[0.9776444,0.00027767773,0.015924824,0.00022884646,0.00011286039,0.000036819893,0.00005883667,0.000016055748,0.0056996723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982127,0.0008499481,0.000065455,0.00027570102,0.00040468073,0.00019146707],"domain_scores_gemma":[0.9952808,0.0026670713,0.00078116334,0.0007075971,0.00030935335,0.0002540273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017774885,0.00059491553,0.0007246362,0.00052373,0.000501575,0.0038312278,0.0017352526,0.0033037802,0.0053003915],"category_scores_gemma":[0.0100225555,0.00049614377,0.0007872543,0.00047940412,0.0019888435,0.004597668,0.0019217627,0.0023881611,0.0005440263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009913613,0.000055975976,0.0007740277,0.00006587479,0.000036403253,0.00049732486,0.00026437765,0.06654681,0.0017169837,0.9187344,0.0011594014,0.010049287],"study_design_scores_gemma":[0.00007210971,0.000053516807,0.00044504422,0.000025946203,0.0000246654,0.00017599438,0.00007197326,0.25335097,0.0004872231,0.7435135,0.0017477734,0.00003119138],"about_ca_topic_score_codex":0.0011029226,"about_ca_topic_score_gemma":0.0007565345,"teacher_disagreement_score":0.0053003915,"about_ca_system_score_codex":0.0011975305,"about_ca_system_score_gemma":0.0007898204,"threshold_uncertainty_score":0.017731607},"labels":[],"label_agreement":null},{"id":"W3130063755","doi":"10.2139/ssrn.1570466","title":"The Comovement of Stock and Bond Returns","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; University of Fredericton","funders":"","keywords":"Bond; Stock (firearms); Economics; Business; Monetary economics; Financial system; Financial economics; Finance; Geography","score_opus":0.012377487849368447,"score_gpt":0.20447916960020757,"score_spread":0.1921016817508391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130063755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98855364,0.00069944444,0.0046939836,0.000778328,0.000047304555,0.0000075281273,0.0001972219,0.000061224586,0.0049615335],"genre_scores_gemma":[0.99790514,0.00022712741,0.00032951552,0.000022803257,0.000056717985,0.000002826328,0.00010542219,0.00001526477,0.0013351693],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999592,0.00014691534,0.000031850916,0.00008248808,0.00009031525,0.000056498968],"domain_scores_gemma":[0.99441224,0.0029004053,0.0011231564,0.00038448285,0.0006512455,0.0005284356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012962865,0.00027571802,0.00047681687,0.0013506912,0.0002829174,0.0024168082,0.0003877407,0.0008170284,0.0037674909],"category_scores_gemma":[0.016264098,0.0002504476,0.00029483062,0.0016116834,0.00044600066,0.0022043274,0.00079688296,0.0007368912,0.000689418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015299051,0.0006424048,0.633232,0.00018769772,0.000377624,0.0031216242,0.0019566256,0.027593043,0.022863919,0.1577518,0.005697128,0.14504613],"study_design_scores_gemma":[0.00007930547,0.0002963436,0.7206338,0.000046931716,0.00017874592,0.0013963568,0.0011594457,0.1362167,0.0035213782,0.13133624,0.005056242,0.00007841555],"about_ca_topic_score_codex":0.0011285954,"about_ca_topic_score_gemma":0.0010237698,"teacher_disagreement_score":0.0037674909,"about_ca_system_score_codex":0.00045454118,"about_ca_system_score_gemma":0.00028398866,"threshold_uncertainty_score":0.012603521},"labels":[],"label_agreement":null},{"id":"W3130290071","doi":"","title":"Adverse Selection, Diversion of Resources and Conservatism","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Productivity; Agency (philosophy); Conservatism; Investment (military); Agency cost; Principal–agent problem; Business; Information asymmetry; Action (physics); Economics; Ex-ante; Microeconomics; Finance; Corporate governance","score_opus":0.016298463809782695,"score_gpt":0.18487412257151967,"score_spread":0.16857565876173697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130290071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7767121,0.001172587,0.16304083,0.0129277175,0.00015658875,0.00022766565,0.0005356877,0.00015714721,0.045069713],"genre_scores_gemma":[0.9907895,0.00031148441,0.003699814,0.00030053052,0.00006677484,0.00007166997,0.000042034113,0.000008741954,0.0047095646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9949995,0.0025299077,0.000219569,0.00059125794,0.00038488235,0.0012748489],"domain_scores_gemma":[0.9698308,0.016746676,0.009858222,0.0013531647,0.0006466342,0.0015645489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009167396,0.0011278448,0.0014745515,0.00084349513,0.000996753,0.004427806,0.0015753275,0.0039765695,0.00667788],"category_scores_gemma":[0.021748979,0.0006308402,0.0014266607,0.0007313176,0.004291106,0.0034293337,0.0024272432,0.003591172,0.0004072112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000900007,0.0004137828,0.033279695,0.00023673174,0.00034989437,0.0021438198,0.0009964469,0.3329368,0.0033852695,0.60310185,0.002666835,0.019588929],"study_design_scores_gemma":[0.00031740568,0.0004440512,0.014665553,0.00013358073,0.00014357262,0.00037213665,0.0006675878,0.32353777,0.0009963221,0.6563031,0.002263466,0.00015530491],"about_ca_topic_score_codex":0.0044390685,"about_ca_topic_score_gemma":0.003040157,"teacher_disagreement_score":0.009167396,"about_ca_system_score_codex":0.0037090795,"about_ca_system_score_gemma":0.0023446856,"threshold_uncertainty_score":0.048482418},"labels":[],"label_agreement":null},{"id":"W3130356728","doi":"10.2139/ssrn.3661751","title":"Hedge Fund Performance under Misspecified Models","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hedge fund; Business; Econometrics; Actuarial science; Economics; Finance","score_opus":0.0770663185796714,"score_gpt":0.21593945888482738,"score_spread":0.13887314030515596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130356728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833545,0.00067181553,0.011005933,0.00091900054,0.00008554684,0.00001716888,0.0006741893,0.00032904543,0.002942676],"genre_scores_gemma":[0.9981723,0.000088027824,0.0006095213,0.000047986494,0.000029762237,0.000005145365,0.0003579103,0.000016308966,0.0006731274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969796,0.0012104362,0.00023529612,0.0005251315,0.0003813602,0.00066812703],"domain_scores_gemma":[0.9340315,0.048923828,0.0079220105,0.006167344,0.0017625339,0.001192796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013968374,0.0012073594,0.0025087462,0.0010661422,0.0004879139,0.0035448202,0.0014429999,0.0032661436,0.0023679007],"category_scores_gemma":[0.050581936,0.0005317529,0.0011523109,0.0008064443,0.0012602294,0.004784232,0.0012847626,0.0020086744,0.0005347375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003431498,0.00017988107,0.02270026,0.00019515758,0.0004668831,0.0006345675,0.00012369131,0.9481844,0.001420084,0.01202389,0.0028180268,0.007821677],"study_design_scores_gemma":[0.0001638856,0.0003800021,0.010117818,0.000036310907,0.0002281482,0.00021965626,0.00010121988,0.9720724,0.0016199094,0.014638851,0.00036597738,0.0000558548],"about_ca_topic_score_codex":0.0049822554,"about_ca_topic_score_gemma":0.003018869,"teacher_disagreement_score":0.013968374,"about_ca_system_score_codex":0.0012971091,"about_ca_system_score_gemma":0.0017388692,"threshold_uncertainty_score":0.073872745},"labels":[],"label_agreement":null},{"id":"W3130968308","doi":"10.2139/ssrn.3489502","title":"Disagreement, Information Quality and Asset Prices","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Quality (philosophy); Asset (computer security); Asset quality; Business; Information quality; Economics; Financial economics; Monetary economics; Actuarial science; Computer science; Microeconomics; Information system; Political science; Computer security","score_opus":0.018802541218633964,"score_gpt":0.2316373127339657,"score_spread":0.21283477151533176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130968308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620345,0.0029374717,0.012537246,0.006885021,0.00009643969,0.00003565993,0.00036518465,0.000037928028,0.015070536],"genre_scores_gemma":[0.99820375,0.0003506162,0.0002897718,0.00009626225,0.00010363028,0.000005643296,0.000072523755,0.0000066370167,0.0008710817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99733233,0.0014078023,0.00024261384,0.00026826156,0.00048363267,0.0002653563],"domain_scores_gemma":[0.75516105,0.21228118,0.021840753,0.004197964,0.0034889558,0.0030301332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011508616,0.00026607193,0.00095341046,0.00165597,0.0006709711,0.006626134,0.00060975866,0.0030661048,0.009520241],"category_scores_gemma":[0.11560016,0.00038503244,0.00042109392,0.0020374146,0.0022724583,0.0060175206,0.001372689,0.003314251,0.0006023352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056396965,0.0016070467,0.48580316,0.00081948243,0.0011244868,0.0018600114,0.004831243,0.056460656,0.0028944088,0.34052804,0.008321172,0.09011064],"study_design_scores_gemma":[0.0005174611,0.0006040311,0.23971744,0.00012617304,0.00030722845,0.00061549764,0.0022593045,0.062457863,0.0006280899,0.6904008,0.002229037,0.00013714578],"about_ca_topic_score_codex":0.0022364713,"about_ca_topic_score_gemma":0.0011768389,"teacher_disagreement_score":0.011508616,"about_ca_system_score_codex":0.0011245013,"about_ca_system_score_gemma":0.00060663745,"threshold_uncertainty_score":0.06086409},"labels":[],"label_agreement":null},{"id":"W3131489565","doi":"10.2139/ssrn.3663350","title":"The Volatility of Stock Investor Returns","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Volatility (finance); Stock (firearms); Financial economics; Business; Economics; Monetary economics; Financial system; Geography","score_opus":0.02944878194430568,"score_gpt":0.20941571428511108,"score_spread":0.1799669323408054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131489565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862302,0.0009970558,0.0069940016,0.0011765074,0.000073392366,0.0000059771482,0.00035770307,0.00006180163,0.0041033276],"genre_scores_gemma":[0.9986141,0.00023371511,0.00015137462,0.000027453685,0.000055811754,0.0000015910832,0.00014343497,0.00001120215,0.0007614132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996275,0.000084273925,0.000033966455,0.00007139069,0.00012223057,0.00006063994],"domain_scores_gemma":[0.9910892,0.0057344274,0.001869971,0.00041974458,0.00055938034,0.0003272152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014450675,0.00021010796,0.0003852278,0.0009934868,0.00015900315,0.002273331,0.00038050103,0.0011054955,0.0022910174],"category_scores_gemma":[0.018554108,0.00030610707,0.00035301363,0.0008429813,0.00041062402,0.0021326614,0.0004830168,0.0011111118,0.0005224673],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001032527,0.00025178184,0.6542148,0.00017305506,0.00078216,0.0018655895,0.0007912907,0.06978373,0.019035574,0.16626576,0.0073621515,0.0784416],"study_design_scores_gemma":[0.000050034723,0.0002473286,0.57645345,0.000064210086,0.00018555865,0.0014014344,0.0003167272,0.31668374,0.0045132223,0.09708221,0.0029019848,0.00010017081],"about_ca_topic_score_codex":0.001119943,"about_ca_topic_score_gemma":0.0011444488,"teacher_disagreement_score":0.0022910174,"about_ca_system_score_codex":0.00045744894,"about_ca_system_score_gemma":0.00023338162,"threshold_uncertainty_score":0.0076642632},"labels":[],"label_agreement":null},{"id":"W3133443209","doi":"10.1111/jofi.13012","title":"Leveraged Funds and the Shadow Cost of Leverage Constraints","year":2021,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Shadow price; Shadow (psychology); Economics; Quarter (Canadian coin); Econometrics; Cost of capital; Financial economics; Monetary economics; Microeconomics; Incentive; Statistics; Mathematics","score_opus":0.03349923521300602,"score_gpt":0.21416226536401356,"score_spread":0.18066303015100754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133443209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98749846,0.0008724658,0.0029028603,0.0002920564,0.000018402427,0.000020789892,0.0028523419,0.000046083856,0.005496675],"genre_scores_gemma":[0.99869895,0.000121768266,0.00013261508,0.000012240927,0.000018928695,0.000005154589,0.0007840308,0.0000035939765,0.0002228021],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989843,0.0001670232,0.00012247224,0.00012616617,0.0004426757,0.0001574144],"domain_scores_gemma":[0.9686937,0.009505028,0.016841775,0.0014979235,0.0021953157,0.0012663029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013392454,0.00031006936,0.00044750908,0.002736367,0.00023913696,0.0020882573,0.00046490828,0.0005659692,0.0031524654],"category_scores_gemma":[0.024531454,0.00017106204,0.00025810508,0.002797453,0.0007241736,0.0019221042,0.00096732227,0.0007971886,0.00041012224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020861038,0.00011699438,0.9331504,0.00006614003,0.00016387827,0.00038955358,0.00013626977,0.027992954,0.0006969238,0.0111164795,0.0023938213,0.023567906],"study_design_scores_gemma":[0.000035697518,0.00022444266,0.9147495,0.000099902325,0.000075859614,0.00059279235,0.0004431571,0.05404405,0.0023891025,0.021441739,0.005828161,0.0000756545],"about_ca_topic_score_codex":0.005743471,"about_ca_topic_score_gemma":0.0050086183,"teacher_disagreement_score":0.005743471,"about_ca_system_score_codex":0.0010354705,"about_ca_system_score_gemma":0.0005868082,"threshold_uncertainty_score":0.011420071},"labels":[],"label_agreement":null},{"id":"W3133498515","doi":"10.2139/ssrn.3766404","title":"The Green and Brown Performances of Mutual Fund Portfolios","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; York University; Royal Military College Saint-Jean; University of Alberta","funders":"","keywords":"Mutual fund; Target date fund; Business; Economics; Finance; Open-end fund; Institutional investor; Corporate governance","score_opus":0.026189765701094984,"score_gpt":0.20619365412267066,"score_spread":0.18000388842157566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133498515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98374027,0.00072228885,0.0011015465,0.0012915158,0.000054722266,0.000004745436,0.0002102261,0.000053218,0.012821339],"genre_scores_gemma":[0.9960905,0.00013245968,0.00017868089,0.00005527869,0.000038564773,0.0000016732979,0.00017900579,0.000020371843,0.0033033986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981907,0.0007348395,0.00010085228,0.00020414923,0.0005066516,0.00026273998],"domain_scores_gemma":[0.9761871,0.013918233,0.0033904482,0.002268334,0.0023395484,0.0018964247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006842686,0.00040427083,0.0005563765,0.0017367854,0.0005519042,0.0030224146,0.0004883068,0.0016262262,0.0035590017],"category_scores_gemma":[0.047828306,0.00023076883,0.00047414596,0.0008910045,0.0013967521,0.0037687279,0.0021916067,0.0011663673,0.0011583098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0055942275,0.00030283074,0.3856693,0.00020650249,0.0010813436,0.0010224121,0.003938937,0.1882591,0.010022554,0.2528447,0.031712864,0.119345225],"study_design_scores_gemma":[0.00025628638,0.0014961562,0.50321954,0.00017165575,0.00040116135,0.0009861776,0.005119231,0.23456986,0.011892573,0.22261705,0.018994315,0.00027611808],"about_ca_topic_score_codex":0.0034052054,"about_ca_topic_score_gemma":0.0039638984,"teacher_disagreement_score":0.006842686,"about_ca_system_score_codex":0.0013734553,"about_ca_system_score_gemma":0.00078572397,"threshold_uncertainty_score":0.036188006},"labels":[],"label_agreement":null},{"id":"W3133518133","doi":"10.3390/jrfm14030095","title":"The Compounding Effect of Investors’ Cognition and Risk Absorption Potential on Enhancing the Level of Interest towards Investment in the Domestic Capital Market","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Mediation; Cognition; Investment decisions; Interest rate; Business; Financial market; Absorption (acoustics); Product (mathematics); Financial risk; Finance; Economics; Psychology; Behavioral economics","score_opus":0.033497932766230566,"score_gpt":0.23709577112590755,"score_spread":0.20359783835967699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133518133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967475,0.000113452246,0.00013480385,0.00012493503,0.000004801051,0.000006458648,0.0000071434424,0.000002246361,0.00285865],"genre_scores_gemma":[0.99942636,0.00007748101,0.0001696751,0.00002404479,0.0000037346238,0.0000027374156,0.000006719496,5.875026e-7,0.00028868407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992071,0.0003499155,0.00003957388,0.00006205482,0.00018578555,0.00015559484],"domain_scores_gemma":[0.99412185,0.0031374432,0.0013164453,0.00030494624,0.00037326006,0.0007460177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012374423,0.00025328965,0.00017888514,0.00037086976,0.00032319388,0.0014580931,0.00017888736,0.0004280236,0.0022011485],"category_scores_gemma":[0.0061056414,0.00011450237,0.0005317466,0.00025188085,0.0005518308,0.0004245963,0.0006902849,0.0008421454,0.00011501922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008380776,0.0018147272,0.9145043,0.00023871637,0.00037824395,0.0010626836,0.006487892,0.0008582585,0.0067896983,0.003034267,0.000365626,0.06362751],"study_design_scores_gemma":[0.000012718048,0.0004689571,0.9936035,0.000035064695,0.00014792425,0.00016529043,0.0022110092,0.0006078324,0.0010973068,0.0009617361,0.0006690414,0.000019718944],"about_ca_topic_score_codex":0.0014774173,"about_ca_topic_score_gemma":0.0026418967,"teacher_disagreement_score":0.0022011485,"about_ca_system_score_codex":0.0004976549,"about_ca_system_score_gemma":0.0006553018,"threshold_uncertainty_score":0.007363558},"labels":[],"label_agreement":null},{"id":"W3133754917","doi":"","title":"PORTFOLIO DECISIONS WITH INFORMATION AND INTERNATIONAL CURRENCY FRICTIONS","year":2020,"lang":"en","type":"article","venue":"TUScholarShare (Temple University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Currency; Economics; Business; Actuarial science; Finance; Monetary economics","score_opus":0.05908978095282944,"score_gpt":0.20550179270180383,"score_spread":0.1464120117489744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133754917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81643546,0.0046639065,0.12267152,0.0058539235,0.00016775537,0.00009005351,0.00044758365,0.00009576206,0.04957407],"genre_scores_gemma":[0.9888399,0.0014353676,0.0033690054,0.00009960593,0.000059396367,0.000024943054,0.00009338685,0.000008932915,0.006069475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943095,0.00023007688,0.000033022792,0.00012673424,0.000077897676,0.00010133607],"domain_scores_gemma":[0.99618053,0.0025132508,0.0008830733,0.00015036597,0.00010690798,0.00016594988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016994673,0.0004890281,0.00082751556,0.0004149444,0.0003471341,0.0025870847,0.0006568453,0.0019385557,0.005274597],"category_scores_gemma":[0.012524293,0.00040417485,0.00056017097,0.00073408964,0.00096061965,0.0031442868,0.0011403962,0.001603812,0.00026229757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002673044,0.00019676294,0.012514454,0.00016339803,0.00013524745,0.00086868147,0.00042612993,0.3716965,0.00095342955,0.5718323,0.003519596,0.037426196],"study_design_scores_gemma":[0.00006893226,0.00014221146,0.008560579,0.00009987179,0.00006938557,0.00018012719,0.00021671818,0.5215488,0.00037237964,0.46586812,0.0028216282,0.0000511383],"about_ca_topic_score_codex":0.0016787563,"about_ca_topic_score_gemma":0.00096203055,"teacher_disagreement_score":0.005274597,"about_ca_system_score_codex":0.0011203485,"about_ca_system_score_gemma":0.00052352966,"threshold_uncertainty_score":0.0176453},"labels":[],"label_agreement":null},{"id":"W3133789227","doi":"10.2139/ssrn.3778956","title":"Principal Trading Arrangements: Optimality under Temporary and Permanent Price Impact","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada); University of Alberta; University of British Columbia","funders":"","keywords":"Principal (computer security); Business; Economics; Industrial organization; Microeconomics; Monetary economics; Econometrics; International economics; Computer science; Computer security","score_opus":0.02762941286048198,"score_gpt":0.24602608082185082,"score_spread":0.21839666796136883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133789227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7130093,0.0009107363,0.23748639,0.0044682506,0.00021638382,0.00023422141,0.0010879865,0.00045334394,0.04213342],"genre_scores_gemma":[0.98138154,0.000625369,0.010360383,0.00012583543,0.00019984278,0.000077657496,0.00039900705,0.00013869634,0.006691677],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960537,0.0013870763,0.00041019908,0.00070127245,0.00062562,0.00082207413],"domain_scores_gemma":[0.9306031,0.050090287,0.0068260357,0.004857096,0.0034140546,0.004209391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073387125,0.00071129133,0.003606275,0.0015507592,0.0013155425,0.0060372865,0.0021981,0.0028949787,0.009390571],"category_scores_gemma":[0.058650576,0.0013154235,0.0014776678,0.0017122924,0.005566957,0.0077065607,0.0028004397,0.0039661336,0.0010421491],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018614618,0.00046493782,0.014398761,0.00028044163,0.00018079737,0.00079000986,0.0006306183,0.19096822,0.0013155717,0.7404833,0.0068294555,0.04179641],"study_design_scores_gemma":[0.0001935872,0.00022569009,0.0034716846,0.000033308912,0.000040046165,0.00022698195,0.00026369604,0.2320428,0.00039437812,0.76239204,0.0006829906,0.00003290422],"about_ca_topic_score_codex":0.0018886917,"about_ca_topic_score_gemma":0.0017475403,"teacher_disagreement_score":0.009390571,"about_ca_system_score_codex":0.0014961289,"about_ca_system_score_gemma":0.0030827043,"threshold_uncertainty_score":0.038811326},"labels":[],"label_agreement":null},{"id":"W3134225738","doi":"10.1007/s12197-021-09541-z","title":"Fixed income mutual fund performance during and after a crisis: a Canadian case","year":2021,"lang":"en","type":"article","venue":"Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Fixed income; Income fund; Flow of funds; Closed-end fund; Monetary economics; Recession; Liberian dollar; Financial crisis; Mutual fund; Economics; Fund of funds; Volatility (finance); Financial system; Business; Bond; Finance; Fund administration; Market liquidity; Macroeconomics","score_opus":0.019140776119390586,"score_gpt":0.18673089504921953,"score_spread":0.16759011892982895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134225738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828887,0.000895208,0.000054578,0.0036776564,0.000014940901,0.000031694868,0.000663197,0.000005980274,0.011768],"genre_scores_gemma":[0.99656135,0.00061734364,0.000054443353,0.00020763642,0.000009219562,0.000009081406,0.0002152457,0.0000040159075,0.0023215576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973109,0.00022040168,0.000043222135,0.00011862597,0.00041806305,0.0018887776],"domain_scores_gemma":[0.9936805,0.0010642724,0.0010952265,0.00014075822,0.0018071998,0.002212043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015854812,0.00038483614,0.00063053967,0.0022380329,0.008512112,0.004468492,0.0019634913,0.003281713,0.0028828594],"category_scores_gemma":[0.008644436,0.00032323675,0.00066939706,0.005611949,0.0026262577,0.0015025281,0.0022335323,0.0026211417,0.00018621671],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018387999,0.001067444,0.8258192,0.00017212023,0.00022086767,0.010325613,0.045221545,0.006055357,0.0006301441,0.046782266,0.023336777,0.038529854],"study_design_scores_gemma":[0.00017583622,0.00020716988,0.851626,0.00018556956,0.00024986741,0.0014069936,0.11323802,0.005995972,0.00033899816,0.0024520883,0.02392663,0.00019690656],"about_ca_topic_score_codex":0.99513006,"about_ca_topic_score_gemma":0.99739695,"teacher_disagreement_score":0.08028764,"about_ca_system_score_codex":0.08028764,"about_ca_system_score_gemma":0.062085792,"threshold_uncertainty_score":0.5825304},"labels":[],"label_agreement":null},{"id":"W3134420707","doi":"10.2139/ssrn.3774218","title":"The Calming of Short-Term Market Fears and Its Long-Term Consequences: The Federal Reserve's Reaction to COVID-19","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Term (time); Futures contract; Economics; Equity (law); Asset (computer security); Monetary economics; Coronavirus disease 2019 (COVID-19); Psychological intervention; Financial economics; Business; Psychology","score_opus":0.03951148466967172,"score_gpt":0.26929412224516724,"score_spread":0.22978263757549552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134420707","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13541752,0.004520275,0.001122657,0.76301014,0.005306873,0.000024049508,0.000221877,0.00009867371,0.09027789],"genre_scores_gemma":[0.83545876,0.0012098401,0.00039620826,0.13558874,0.0042480156,0.00003183144,0.00006635889,0.000095042196,0.02290525],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99687445,0.00070493435,0.00017139873,0.00046962337,0.0010922934,0.0006872213],"domain_scores_gemma":[0.9845429,0.008029372,0.002674179,0.00064892747,0.0025232204,0.0015812981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007905762,0.00036290285,0.00049264514,0.00089004694,0.0052980236,0.011075,0.0011094264,0.022481048,0.005276406],"category_scores_gemma":[0.032105908,0.00034908167,0.0005461588,0.00085245335,0.007299115,0.005262689,0.0035276732,0.01886323,0.00064283377],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006908723,0.00018217228,0.021185428,0.0001199606,0.00010237091,0.00133177,0.016214738,0.0008177923,0.0017528238,0.52573264,0.38485003,0.047019396],"study_design_scores_gemma":[0.0001685986,0.0002375713,0.06365022,0.00039655625,0.00010357057,0.00047563657,0.015094513,0.0031570424,0.001821929,0.15517886,0.75935555,0.00035988633],"about_ca_topic_score_codex":0.02845735,"about_ca_topic_score_gemma":0.05260819,"teacher_disagreement_score":0.02845735,"about_ca_system_score_codex":0.0058912085,"about_ca_system_score_gemma":0.0050837714,"threshold_uncertainty_score":0.056583405},"labels":[],"label_agreement":null},{"id":"W3134676337","doi":"10.2139/ssrn.3179772","title":"Cyclical Variations in Liquidity Risk of Corporate Bonds","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Bond; Market liquidity; Business; Liquidity risk; Corporate bond; Financial system; Monetary economics; Financial economics; Econometrics; Economics; Finance","score_opus":0.024981718854792147,"score_gpt":0.2200096111664631,"score_spread":0.19502789231167095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134676337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99702233,0.00025692297,0.00074834947,0.00035588047,0.000016511103,0.0000044125254,0.00031215817,0.000031559975,0.0012518095],"genre_scores_gemma":[0.9992956,0.00007814612,0.00007810469,0.000016253649,0.000015283327,0.00000213579,0.00015859997,0.000007496903,0.00034842017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999699,0.00007295554,0.000028593598,0.0000852905,0.000055117805,0.000058975424],"domain_scores_gemma":[0.99308664,0.0031243758,0.0023773462,0.00047510912,0.000583941,0.00035255798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00139007,0.00018721225,0.00029475975,0.0011046638,0.0002639357,0.0016818694,0.00051351235,0.0013020099,0.0025912109],"category_scores_gemma":[0.01398114,0.0003267266,0.0003254799,0.0013040862,0.0005915273,0.001047209,0.00054901507,0.0011768288,0.00037424508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015962189,0.0003701079,0.81592745,0.00018797538,0.00056737673,0.0020219716,0.0014873332,0.07465045,0.020635704,0.038383372,0.006495973,0.03767605],"study_design_scores_gemma":[0.000052309857,0.00016123531,0.86207145,0.00004420001,0.00010518431,0.00050263916,0.00059504673,0.11867819,0.0014061786,0.014143139,0.0021495253,0.00009082115],"about_ca_topic_score_codex":0.0036405362,"about_ca_topic_score_gemma":0.0038319463,"teacher_disagreement_score":0.0036405362,"about_ca_system_score_codex":0.0005867794,"about_ca_system_score_gemma":0.00025539377,"threshold_uncertainty_score":0.008668482},"labels":[],"label_agreement":null},{"id":"W3135058881","doi":"10.3390/jrfm14030096","title":"Choosing Factors for the Vietnamese Stock Market","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Econometrics; Economics; Factor analysis; Financial economics; Finance","score_opus":0.021492442016001066,"score_gpt":0.21420344236312733,"score_spread":0.19271100034712627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135058881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91131085,0.0006946629,0.08175452,0.0004681535,0.000070219176,0.00023541652,0.00071214687,0.00024280489,0.0045112274],"genre_scores_gemma":[0.98310304,0.00020223274,0.015017036,0.00003135235,0.000026509157,0.000067760295,0.000686305,0.000027974855,0.0008378054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876934,0.0006707232,0.00005988567,0.0002462739,0.00012362876,0.00013010835],"domain_scores_gemma":[0.9953224,0.003199507,0.0005077985,0.0003008139,0.0004594425,0.00021008428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034387573,0.001164575,0.00046307256,0.0022190455,0.00071174366,0.0026374776,0.0005439828,0.0006058441,0.00463302],"category_scores_gemma":[0.013498213,0.00042772724,0.0016319364,0.0014164147,0.00070524594,0.0013794787,0.0007085084,0.000693658,0.00046309328],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000711073,0.0002785092,0.5676321,0.00033710475,0.0013123569,0.0017615336,0.0020488882,0.17942385,0.0028375685,0.08057965,0.0052975765,0.15777977],"study_design_scores_gemma":[0.00014852984,0.00038684977,0.18604907,0.00023228934,0.00045915152,0.00043413838,0.002028704,0.73054355,0.0014774838,0.06621956,0.011884093,0.0001365961],"about_ca_topic_score_codex":0.040010568,"about_ca_topic_score_gemma":0.016196959,"teacher_disagreement_score":0.040010568,"about_ca_system_score_codex":0.0015716449,"about_ca_system_score_gemma":0.0018857617,"threshold_uncertainty_score":0.07955539},"labels":[],"label_agreement":null},{"id":"W3135455271","doi":"10.2139/ssrn.3593056","title":"What’s in a (Green) Name? The Consequences of Greening Fund Names on Fund Flows, Turnover, and Performance","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Royal Military College Saint-Jean; University of Alberta","funders":"","keywords":"Greening; Business; Target date fund; Finance; Open-end fund; Political science; Law","score_opus":0.04101738719595992,"score_gpt":0.22415184817925835,"score_spread":0.18313446098329844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135455271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9259734,0.0017812339,0.0022923097,0.042689532,0.00084271317,0.0000114840705,0.00015480742,0.000079243866,0.026175266],"genre_scores_gemma":[0.9942893,0.00031857236,0.00036332506,0.0018629645,0.00036799524,0.0000032006576,0.000034192773,0.00002432301,0.0027361289],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961903,0.0015192193,0.00019792041,0.00037281305,0.0010136903,0.000705918],"domain_scores_gemma":[0.94547224,0.010432448,0.030768447,0.0021357636,0.0044341753,0.0067569455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007908639,0.00015493346,0.00048777548,0.00093129027,0.0026533208,0.006755006,0.00062848564,0.0026623758,0.0058919066],"category_scores_gemma":[0.051713917,0.00017493655,0.00032370025,0.0015238886,0.0041650576,0.007618372,0.0018316068,0.0024307198,0.0013414564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026230202,0.00078923895,0.52465093,0.00026697916,0.00042702266,0.0018208872,0.01389985,0.0045430474,0.004205952,0.17499067,0.05270545,0.21907681],"study_design_scores_gemma":[0.00031713524,0.0011920914,0.5304297,0.00059161766,0.0005312627,0.0019820037,0.042599533,0.0068480866,0.006656388,0.26634836,0.14206022,0.00044358653],"about_ca_topic_score_codex":0.0049824826,"about_ca_topic_score_gemma":0.0072952807,"teacher_disagreement_score":0.007908639,"about_ca_system_score_codex":0.0018831769,"about_ca_system_score_gemma":0.0016561404,"threshold_uncertainty_score":0.041825414},"labels":[],"label_agreement":null},{"id":"W3135568968","doi":"10.2139/ssrn.3769510","title":"Quantifying U.S. Treasury Investor Optimism","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Optimism; Treasury; Economics; Business; Financial system; Financial economics; Monetary economics; Political science; Psychology; Social psychology; Law","score_opus":0.04687030413434024,"score_gpt":0.23365396346848222,"score_spread":0.18678365933414198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135568968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99354124,0.00010756005,0.0008578728,0.00009658232,0.0000051686757,0.0000063100783,0.0005952406,0.000017797587,0.0047721863],"genre_scores_gemma":[0.998949,0.000036995454,0.00037066423,0.000011729698,0.000003889524,0.0000023285313,0.0002932953,0.0000031411935,0.00032887454],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998012,0.000066487504,0.00001437992,0.000043693068,0.000048884845,0.000025310097],"domain_scores_gemma":[0.99831545,0.0006589974,0.0005032861,0.00010648822,0.00029900725,0.00011680128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006881118,0.00020288053,0.00019661748,0.0005579141,0.00015508852,0.0009637407,0.0001239154,0.00040313418,0.0015243255],"category_scores_gemma":[0.0052532665,0.00007806985,0.00013614456,0.00082202395,0.00011344394,0.0005207793,0.00026392489,0.00027745156,0.00028106984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007074216,0.00021035546,0.8637304,0.000057644756,0.00029778818,0.00021987845,0.00045116388,0.063596375,0.0039121485,0.008015789,0.0053532524,0.053447824],"study_design_scores_gemma":[0.000028676519,0.0004122971,0.82091206,0.000028366221,0.00010509299,0.00017411518,0.0006616761,0.16712998,0.0032573002,0.0045373733,0.0027151057,0.00003793656],"about_ca_topic_score_codex":0.008172601,"about_ca_topic_score_gemma":0.011035146,"teacher_disagreement_score":0.008172601,"about_ca_system_score_codex":0.00046992156,"about_ca_system_score_gemma":0.00020662411,"threshold_uncertainty_score":0.016250074},"labels":[],"label_agreement":null},{"id":"W3135842227","doi":"10.26710/jbsee.v7i1.1532","title":"Bidirectional Relationship between Stock Market Decline and Liquidity: A Study of Emerged &amp; Emerging Economies","year":2021,"lang":"en","type":"article","venue":"Journal of Business and Social Review in Emerging Economies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Granger causality; Market liquidity; Economics; Stock market; Emerging markets; Distributed lag; Causality (physics); Financial economics; Monetary economics; Economy; Econometrics; Macroeconomics; Geography","score_opus":0.08915795444017716,"score_gpt":0.3005101724218656,"score_spread":0.21135221798168846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135842227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969824,0.0009710289,0.000060597322,0.0003362127,0.0000056925614,0.0000063845173,0.00012014002,6.1741423e-7,0.0015169261],"genre_scores_gemma":[0.9986249,0.00086326647,0.000065782166,0.00006572924,0.000010871726,0.000004483595,0.00012868263,5.666279e-7,0.00023565521],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997683,0.000058656085,0.000033214248,0.0000433008,0.000046321635,0.000050094994],"domain_scores_gemma":[0.99866223,0.00026810155,0.0007028265,0.00004420924,0.00020583149,0.00011673248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006460872,0.00012375457,0.0001750707,0.0010523164,0.00039926864,0.0009056618,0.00017545774,0.00021486642,0.001259447],"category_scores_gemma":[0.0020744484,0.00009111569,0.00021210953,0.0013456073,0.00042797072,0.0010138835,0.000612782,0.00045010613,0.00011039116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030303261,0.000037199854,0.9880535,0.00007401871,0.000043964934,0.0006469737,0.002443883,0.000069703514,0.00009245971,0.00075672194,0.0003497135,0.007401441],"study_design_scores_gemma":[0.0000030077545,0.000034732788,0.9906188,0.000080976715,0.000026393216,0.00023755367,0.0071324166,0.00022214922,0.000054126755,0.00028311534,0.0013026132,0.000004003436],"about_ca_topic_score_codex":0.009374824,"about_ca_topic_score_gemma":0.017420907,"teacher_disagreement_score":0.009374824,"about_ca_system_score_codex":0.00033701386,"about_ca_system_score_gemma":0.00078892644,"threshold_uncertainty_score":0.018640518},"labels":[],"label_agreement":null},{"id":"W3135959405","doi":"10.2139/ssrn.3108317","title":"Investor Characteristics and Trading Activity in Different Market Conditions","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Overconfidence effect; Business; Volatility (finance); Monetary economics; Financial economics; Finance; Economics","score_opus":0.019317463233358315,"score_gpt":0.2186712981903426,"score_spread":0.19935383495698428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135959405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99952257,0.00003508988,0.000026391517,0.00002275564,0.0000014900384,0.0000013526103,0.00006364472,0.0000010422639,0.00032550923],"genre_scores_gemma":[0.9996885,0.00001815884,0.000013379291,0.0000067497526,0.000005691868,9.796619e-7,0.0001110833,0.0000013081923,0.00015418611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997217,0.000055348515,0.00004212974,0.000043744796,0.000036636204,0.000100355195],"domain_scores_gemma":[0.993768,0.0026888046,0.0022126557,0.00021557475,0.00019372394,0.00092137634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006386053,0.00012153088,0.00023877084,0.0007051189,0.00019126746,0.0011711919,0.00017282729,0.0007427067,0.0057496903],"category_scores_gemma":[0.0055542584,0.0000983056,0.00030977506,0.00062546827,0.0003234744,0.000906282,0.00038669404,0.00046568093,0.0005753422],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014331753,0.000305132,0.99337846,0.000007997726,0.00009815148,0.00025930296,0.00013836788,0.00027559415,0.0014897143,0.00019785966,0.00009228924,0.0023240666],"study_design_scores_gemma":[0.000017935257,0.00018671613,0.997993,0.0000035495066,0.0000397293,0.00033687157,0.00024202486,0.0005452323,0.00028751855,0.00024749793,0.00009461014,0.0000054206835],"about_ca_topic_score_codex":0.00079730566,"about_ca_topic_score_gemma":0.0010712694,"teacher_disagreement_score":0.0057496903,"about_ca_system_score_codex":0.00016505727,"about_ca_system_score_gemma":0.00012248744,"threshold_uncertainty_score":0.019234657},"labels":[],"label_agreement":null},{"id":"W3136026678","doi":"10.3390/jrfm14030125","title":"Role of International Trade Competitive Advantage and Corporate Governance Quality in Predicting Equity Returns: Static and Conditional Model Proposals for an Emerging Market","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Portfolio; Corporate governance; Econometrics; Economics; Equity (law); Financial economics; Finance","score_opus":0.035002944317404854,"score_gpt":0.27695814587195133,"score_spread":0.24195520155454647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136026678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8629483,0.00063435285,0.13115308,0.0011243819,0.00005150874,0.00005841834,0.0005724499,0.00012349826,0.0033339665],"genre_scores_gemma":[0.9921944,0.00017982205,0.0060891556,0.000054045126,0.00003165116,0.000022684502,0.00054118753,0.000010988199,0.00087602093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993352,0.00028788493,0.00003161006,0.00017004386,0.00008142733,0.00009377415],"domain_scores_gemma":[0.9973768,0.0014611989,0.0005878041,0.00020075408,0.00020996753,0.00016342435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033629094,0.0006597366,0.00046483363,0.0013947616,0.00027509808,0.002141664,0.0010446039,0.0008112566,0.0016043717],"category_scores_gemma":[0.0060651833,0.00027895338,0.001286575,0.0010360986,0.0006220651,0.0017064633,0.00093487574,0.0012035599,0.00023121416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017708472,0.0002526592,0.26245776,0.00006898156,0.00047484826,0.00023770817,0.00016811513,0.6565146,0.0007221873,0.040054373,0.0015336056,0.03733803],"study_design_scores_gemma":[0.000010910028,0.000073427924,0.01890893,0.0000153859,0.000054288266,0.000033447308,0.000044018096,0.96856874,0.00012959259,0.01178916,0.0003549126,0.000017128432],"about_ca_topic_score_codex":0.011628559,"about_ca_topic_score_gemma":0.010280371,"teacher_disagreement_score":0.011628559,"about_ca_system_score_codex":0.0009142198,"about_ca_system_score_gemma":0.00080230454,"threshold_uncertainty_score":0.023121774},"labels":[],"label_agreement":null},{"id":"W3136056549","doi":"","title":"Seasonal Analysis of Abnormal Returns after Quarterly Earnings Announcements","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Economics; Stock market; Stock (firearms); Financial economics; Event study; Efficient-market hypothesis; Seasonality; Monetary economics; Business; Finance; Geography; Mathematics; Statistics","score_opus":0.00770690363424461,"score_gpt":0.19651165969023643,"score_spread":0.1888047560559918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136056549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973226,0.000115277755,0.0008630398,0.00006380982,0.000011265628,0.0000070335577,0.0003486027,0.000042684307,0.0012256238],"genre_scores_gemma":[0.9991393,0.000036531535,0.00013227509,0.000006440394,0.00001610001,0.0000021287906,0.0003492424,0.000003578341,0.00031427213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995648,0.000061139,0.00004852617,0.000077560275,0.00014453787,0.00010348222],"domain_scores_gemma":[0.99424136,0.0018410776,0.0023931342,0.0003581855,0.0008211021,0.00034523878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092607905,0.00016597612,0.0002747031,0.0015992388,0.00014521227,0.00076881517,0.000231397,0.00023013889,0.0016578606],"category_scores_gemma":[0.0050594965,0.00009531661,0.00028997887,0.0012734728,0.00018779043,0.00046094146,0.00028014072,0.00036225838,0.0003221102],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047639807,0.00015727375,0.9440744,0.000051316772,0.00018438176,0.00065932306,0.00024509802,0.0052455952,0.007836913,0.0015343565,0.00139165,0.03814314],"study_design_scores_gemma":[0.0000049071973,0.00010841035,0.9842977,0.0000046154546,0.000041841777,0.000138533,0.00012576036,0.013454503,0.0010059793,0.000316427,0.00048877375,0.000012417631],"about_ca_topic_score_codex":0.005249147,"about_ca_topic_score_gemma":0.0037360361,"teacher_disagreement_score":0.005249147,"about_ca_system_score_codex":0.00028713592,"about_ca_system_score_gemma":0.00021814367,"threshold_uncertainty_score":0.0104371905},"labels":[],"label_agreement":null},{"id":"W3136387606","doi":"10.5430/ijfr.v12n4p33","title":"Investor Sentiment by Money Flow Index and Stock Return","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Stock exchange; Economics; Financial economics; Stock market; Market liquidity; Stock market index; Stock (firearms); Regression analysis; Business; Monetary economics; Statistics; Finance; Mathematics","score_opus":0.06519824536824445,"score_gpt":0.3165161579442786,"score_spread":0.2513179125760342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136387606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723536,0.0001278785,0.00020453938,0.0000707738,0.000008771791,0.000006458051,0.0002890148,0.0000063781636,0.0020508314],"genre_scores_gemma":[0.9990221,0.00007864509,0.0000912125,0.0000079076735,0.000013108478,0.00000401554,0.00027846842,0.0000010501668,0.0005035211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997296,0.000073145675,0.000025868354,0.000046324745,0.00007680777,0.000048326052],"domain_scores_gemma":[0.99830186,0.0005318751,0.0008235475,0.00004685684,0.00013577264,0.00016005922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055808964,0.00027106283,0.00017952557,0.0008070036,0.00010848017,0.00057112816,0.00009944902,0.00021886826,0.002201442],"category_scores_gemma":[0.0033700094,0.00007042834,0.00039326167,0.0006852598,0.00016718119,0.00048900663,0.0002171277,0.00034487655,0.00032237472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056278288,0.000040495936,0.99529463,0.000009364074,0.0000525976,0.00006434972,0.000043910655,0.0002905448,0.00033219034,0.00016097857,0.00021266425,0.0034420905],"study_design_scores_gemma":[0.0000023478094,0.00006174206,0.9967236,0.000007857463,0.0000344625,0.000057951755,0.000083726576,0.0023858594,0.00025833817,0.00015007134,0.00022963487,0.0000043869964],"about_ca_topic_score_codex":0.0027664038,"about_ca_topic_score_gemma":0.0023517767,"teacher_disagreement_score":0.0027664038,"about_ca_system_score_codex":0.00025894388,"about_ca_system_score_gemma":0.00017840446,"threshold_uncertainty_score":0.007364571},"labels":[],"label_agreement":null},{"id":"W3136603738","doi":"10.4236/ti.2024.154012","title":"Style Consistency and Mutual Fund Returns: A Case of Russia","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Style (visual arts); Consistency (knowledge bases); Mutual fund; Style analysis; Investment style; Returns-based style analysis; Profitability index; Investment (military); Manager of managers fund; Investment fund; Business; Economics; Investment strategy; Fund administration; Finance; Political science; Geography; Macroeconomics; Mathematics; Return on investment; Law; Open-ended investment company","score_opus":0.031189542393459547,"score_gpt":0.2349665169830128,"score_spread":0.20377697458955324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136603738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99935645,0.000072785464,0.00009838064,0.000036077323,9.3299514e-7,0.0000015437982,0.000036096662,0.0000016354753,0.00039617065],"genre_scores_gemma":[0.99971646,0.000063741994,0.00006550999,0.000002905756,0.0000044138033,8.9147204e-7,0.0000677827,0.0000011111629,0.000077234254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933475,0.00022819042,0.000050477935,0.00007863895,0.00015120298,0.00015675313],"domain_scores_gemma":[0.9962924,0.0013709984,0.0015911468,0.00023353072,0.00023303548,0.00027884264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014749448,0.00022098974,0.0003999286,0.0025685143,0.000621108,0.0016044283,0.0003340887,0.0004867347,0.00071440404],"category_scores_gemma":[0.005820153,0.00011407962,0.00050177035,0.002052625,0.0008377774,0.0009171749,0.0014137493,0.000562095,0.00013750914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002654829,0.00008360263,0.98202765,0.00001926118,0.000119758544,0.0020779322,0.0015186791,0.0027286476,0.0005239663,0.003477989,0.00023334908,0.006923625],"study_design_scores_gemma":[0.00001829206,0.000088187655,0.98387593,0.000019633257,0.000101533675,0.0009534937,0.002596797,0.00889864,0.00051269436,0.0018373507,0.00107578,0.000021661663],"about_ca_topic_score_codex":0.013668841,"about_ca_topic_score_gemma":0.008293908,"teacher_disagreement_score":0.013668841,"about_ca_system_score_codex":0.0009334334,"about_ca_system_score_gemma":0.00033385816,"threshold_uncertainty_score":0.027178526},"labels":[],"label_agreement":null},{"id":"W3136708633","doi":"10.2139/ssrn.1108625","title":"Retail Clienteles and the Idiosyncratic Volatility Puzzle","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Volatility (finance); Financial economics; Economics; Monetary economics; Business","score_opus":0.02070391016233199,"score_gpt":0.1898917562192505,"score_spread":0.1691878460569185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136708633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9584344,0.0021877957,0.0038897542,0.007947196,0.00005214128,0.000018170069,0.00035467936,0.00012486124,0.026991123],"genre_scores_gemma":[0.9946004,0.00040729283,0.00018670037,0.00012915066,0.00008271485,0.0000047089848,0.000096634125,0.000016388047,0.0044759423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995315,0.00011159758,0.00003634966,0.00009618102,0.00012045742,0.00010397516],"domain_scores_gemma":[0.98829263,0.0056870244,0.0034790533,0.0011013655,0.00060842646,0.0008315144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015272537,0.0002620074,0.0011377572,0.0015430598,0.0009751507,0.0062655243,0.00096265174,0.0027599365,0.018907914],"category_scores_gemma":[0.01662299,0.00045211753,0.00036342873,0.0025500779,0.001401702,0.006839802,0.0018725841,0.0026570165,0.0018325363],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017203729,0.0006894323,0.2952799,0.0002380441,0.0002989393,0.0039578066,0.004048774,0.014590479,0.0021042677,0.529748,0.02554869,0.1217753],"study_design_scores_gemma":[0.0003654654,0.00016999067,0.16961136,0.00013463742,0.0002378039,0.0038067247,0.00594636,0.07236744,0.0010247731,0.72960806,0.016556052,0.00017140809],"about_ca_topic_score_codex":0.0022675768,"about_ca_topic_score_gemma":0.0028610155,"teacher_disagreement_score":0.018907914,"about_ca_system_score_codex":0.00095340266,"about_ca_system_score_gemma":0.00035489077,"threshold_uncertainty_score":0.063253224},"labels":[],"label_agreement":null},{"id":"W3137024575","doi":"10.2139/ssrn.3710533","title":"Downside Risk and the Cross-section of Corporate Bond Returns","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Corporate bond; Downside risk; Bond; Business; Financial economics; Section (typography); Financial system; Economics; Finance; Portfolio; Advertising","score_opus":0.023384157311314206,"score_gpt":0.20600591314621952,"score_spread":0.1826217558349053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137024575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898067,0.001615234,0.004705674,0.00047797387,0.000026760852,0.0000080730315,0.0001720737,0.00003742299,0.0031499276],"genre_scores_gemma":[0.99686927,0.0006653797,0.0002419041,0.000032713193,0.00006647245,0.00000403274,0.00019252079,0.000012930133,0.0019148247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965584,0.00012009443,0.000025313415,0.00008066088,0.00005708128,0.00006105191],"domain_scores_gemma":[0.9830715,0.010899711,0.00353824,0.00086476,0.0007081351,0.0009176144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030806225,0.0003376247,0.00042476354,0.0010103894,0.0002585282,0.0016385457,0.00048073556,0.0011386517,0.0052340655],"category_scores_gemma":[0.017052876,0.00037293977,0.00046534766,0.00082566263,0.0006423325,0.0020059587,0.0008159963,0.001368435,0.0008120702],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010180972,0.00028172275,0.8250101,0.00011395424,0.00075820176,0.0013629644,0.0005220662,0.05840077,0.0058336,0.06398544,0.0030867115,0.039626434],"study_design_scores_gemma":[0.00003955566,0.0003626456,0.79647493,0.00006180478,0.00027342697,0.0011778933,0.0004249999,0.12775268,0.0019634834,0.068987355,0.002403975,0.00007730027],"about_ca_topic_score_codex":0.0012281038,"about_ca_topic_score_gemma":0.0012927608,"teacher_disagreement_score":0.0052340655,"about_ca_system_score_codex":0.00039471823,"about_ca_system_score_gemma":0.00016434662,"threshold_uncertainty_score":0.017509699},"labels":[],"label_agreement":null},{"id":"W3137231985","doi":"","title":"How Are Institutions Informed? Proactive Trading, Information Flows, and Stock Selection Strategies","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Predictability; Institutional investor; Information asymmetry; Stock (firearms); Business; Private information retrieval; Equity (law); Trading strategy; Financial economics; Basis point; Finance; Economics; Actuarial science; Corporate governance; Bond; Computer science","score_opus":0.031776179383816223,"score_gpt":0.2169092185836802,"score_spread":0.18513303919986399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137231985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886468,0.00032761824,0.0030926573,0.00054541294,0.000006392457,0.000016379803,0.00010106738,0.00002452609,0.007239007],"genre_scores_gemma":[0.999421,0.00008088047,0.00022518344,0.000021325379,0.0000072836588,0.0000017246174,0.000020534053,0.0000012242182,0.00022092427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993118,0.0001871063,0.0000719235,0.0001094189,0.0001626169,0.00015712969],"domain_scores_gemma":[0.97774804,0.008367916,0.011443089,0.001302169,0.0005687537,0.0005699961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021019233,0.0001978153,0.00026724447,0.001077671,0.00033096675,0.0029356426,0.0002798911,0.00071426487,0.0020369068],"category_scores_gemma":[0.017558891,0.00015863757,0.00020451023,0.0011172545,0.00088948564,0.0026648017,0.00082752464,0.00062024285,0.00025278734],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003612541,0.00021877718,0.8888988,0.000053422464,0.00024627734,0.0004940662,0.001605129,0.012925865,0.001916683,0.017161524,0.00049897446,0.075619206],"study_design_scores_gemma":[0.000038479026,0.00023928848,0.90964115,0.000069422415,0.00017517059,0.00039326987,0.00264575,0.03014456,0.0029684168,0.050389875,0.0032184836,0.00007615194],"about_ca_topic_score_codex":0.0020005524,"about_ca_topic_score_gemma":0.003102576,"teacher_disagreement_score":0.0029356426,"about_ca_system_score_codex":0.0007267929,"about_ca_system_score_gemma":0.000512519,"threshold_uncertainty_score":0.011116207},"labels":[],"label_agreement":null},{"id":"W3137233537","doi":"","title":"Debt, Information, and Illiquidity","year":2018,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Market liquidity; Debt; Liquidity premium; Economics; Endogeneity; Monetary economics; Bond; Liquidity crisis; Bond valuation; Financial economics; Econometrics; Finance","score_opus":0.22769576786005225,"score_gpt":0.4079132688902155,"score_spread":0.18021750103016326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137233537","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855822,0.0013285431,0.005067483,0.0018312095,0.000010998574,0.000015466827,0.00046587334,0.000019723147,0.0056785927],"genre_scores_gemma":[0.9988487,0.0003475142,0.00028725178,0.0000550135,0.000025220568,0.0000045118313,0.00009288661,0.000002073637,0.00033668082],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999744,0.00007100247,0.000024349489,0.000038375205,0.00006182653,0.000060401526],"domain_scores_gemma":[0.9731312,0.012481356,0.0124328565,0.0005035084,0.00065895054,0.00079211814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011932935,0.000191575,0.00030580544,0.0012598712,0.00033039547,0.00205108,0.00041740428,0.00062309194,0.0034832587],"category_scores_gemma":[0.018262615,0.00014732314,0.0001747105,0.0014072345,0.0007691251,0.0022382012,0.000804938,0.0008428206,0.00023524706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076905405,0.00060388446,0.73695546,0.00030905928,0.00021796775,0.0009312697,0.0011365574,0.030704873,0.0036798655,0.16235955,0.0028376256,0.059494868],"study_design_scores_gemma":[0.00012458276,0.0003976582,0.46371162,0.00021850363,0.00022130183,0.0005763,0.0012024578,0.13779706,0.00468696,0.38678148,0.0041748947,0.00010710841],"about_ca_topic_score_codex":0.0016796268,"about_ca_topic_score_gemma":0.0022075453,"teacher_disagreement_score":0.0034832587,"about_ca_system_score_codex":0.0008010383,"about_ca_system_score_gemma":0.0004927135,"threshold_uncertainty_score":0.011652708},"labels":[],"label_agreement":null},{"id":"W3137265547","doi":"10.2139/ssrn.3801703","title":"The Power of ESG Ratings on Stock Markets","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"European Investment Bank; Leibniz-Gemeinschaft","keywords":"Business; Stock (firearms); Financial system; Financial economics; Monetary economics; Economics; Materials science","score_opus":0.012016056122467627,"score_gpt":0.20587667089605727,"score_spread":0.19386061477358965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137265547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9522716,0.0016471499,0.0017269533,0.0034252196,0.0001382234,0.000014632049,0.0006410862,0.00008644867,0.040048726],"genre_scores_gemma":[0.99831045,0.00020889958,0.00006543421,0.00006656519,0.00012199422,0.0000011619995,0.00009762144,0.000011317931,0.0011165435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99780864,0.0012648769,0.000108794324,0.0002279993,0.00039827335,0.00019139376],"domain_scores_gemma":[0.85303974,0.11950258,0.014337194,0.005264208,0.0045736646,0.0032826017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052545406,0.000332859,0.00073338446,0.0017640138,0.00041765068,0.0038176824,0.00060505327,0.001492386,0.010269412],"category_scores_gemma":[0.075767,0.00027803893,0.0005125409,0.0014474543,0.0011474901,0.0036704894,0.00091131334,0.0015800627,0.001598754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030376194,0.0004080632,0.76007986,0.00026614318,0.00093791063,0.00092845666,0.0015669008,0.022829488,0.003329545,0.073550746,0.017454414,0.11561084],"study_design_scores_gemma":[0.0002221907,0.00048004728,0.82700884,0.00012536117,0.0003967662,0.00048156778,0.0010378658,0.08847004,0.001003796,0.07519708,0.005473463,0.000103019716],"about_ca_topic_score_codex":0.0031233039,"about_ca_topic_score_gemma":0.0029824802,"teacher_disagreement_score":0.010269412,"about_ca_system_score_codex":0.00046417696,"about_ca_system_score_gemma":0.00024843134,"threshold_uncertainty_score":0.034354568},"labels":[],"label_agreement":null},{"id":"W3137574944","doi":"10.1016/j.heliyon.2021.e06416","title":"Financial transaction tax, liquidity, and informational efficiency: Evidence from Italy","year":2021,"lang":"en","type":"article","venue":"Heliyon","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; University of Alberta","funders":"","keywords":"Market liquidity; Business; Database transaction; Accounting; Transaction cost; Finance; Financial system; Economics; Database","score_opus":0.033634172795972736,"score_gpt":0.21777236837920658,"score_spread":0.18413819558323385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137574944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900719,0.0010446756,0.00012181074,0.0005677902,0.000005465294,0.000012696651,0.00035526266,0.000011914575,0.0078084776],"genre_scores_gemma":[0.99865144,0.00048001064,0.000035770085,0.00005553806,0.000030864307,0.0000038196763,0.00037037046,0.000003265501,0.00036893197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999713,0.00009141845,0.000017407994,0.000044672757,0.00007486874,0.00005862432],"domain_scores_gemma":[0.99363154,0.0018175223,0.0035041699,0.0005378979,0.00023293679,0.00027579794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081554195,0.00019072295,0.00024922777,0.0013421893,0.00025959796,0.0011473579,0.00024163886,0.00042735413,0.0033144811],"category_scores_gemma":[0.0052805524,0.0001247372,0.00024827957,0.0017591311,0.00086514803,0.00048606214,0.00059802464,0.00044884224,0.00055202784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011733915,0.00039385227,0.95799536,0.00015008327,0.00016716977,0.0005081509,0.000899215,0.0014744776,0.0011258738,0.0020027522,0.0027524047,0.03135731],"study_design_scores_gemma":[0.000026324265,0.000111133064,0.9969242,0.000019086729,0.000047958958,0.00022066991,0.00014986383,0.00041224682,0.00021413676,0.00027744885,0.0015891447,0.000007768188],"about_ca_topic_score_codex":0.006353201,"about_ca_topic_score_gemma":0.0043188194,"teacher_disagreement_score":0.006353201,"about_ca_system_score_codex":0.00046459283,"about_ca_system_score_gemma":0.00024823932,"threshold_uncertainty_score":0.01263243},"labels":[],"label_agreement":null},{"id":"W3138789899","doi":"","title":"Procyclicality Mitigation for Initial Margin Models with Asymmetric Volatility","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Autoregressive conditional heteroskedasticity; Volatility (finance); Econometrics; Economics; Heteroscedasticity; Autoregressive model; Forward volatility; Implied volatility; Stochastic volatility; Stock (firearms); Financial economics; Engineering","score_opus":0.036006811767680384,"score_gpt":0.2307548948864746,"score_spread":0.1947480831187942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138789899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52380925,0.00047795632,0.4656585,0.00060464966,0.000069277856,0.000087709646,0.00017502936,0.00048041745,0.00863722],"genre_scores_gemma":[0.99082583,0.00008935397,0.008207992,0.000035012414,0.00001963037,0.000019707597,0.000055313085,0.0000253748,0.00072177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992005,0.00030026922,0.00006488639,0.00012969466,0.00014879894,0.00015589444],"domain_scores_gemma":[0.9951303,0.002318099,0.0015323276,0.00048313194,0.00033296735,0.00020321728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003125325,0.0007677425,0.0008811106,0.00062245503,0.00029488627,0.0017660325,0.0012155975,0.0008298023,0.0015850957],"category_scores_gemma":[0.011379501,0.0002996869,0.00092636317,0.00039586885,0.0006758209,0.0017780191,0.0010837498,0.0015785288,0.00018074161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016238337,0.00007824442,0.0034690301,0.00008184546,0.00007042625,0.00024767237,0.00010201648,0.91376126,0.0041904394,0.05896167,0.0011240703,0.017750956],"study_design_scores_gemma":[0.00001611018,0.000055950182,0.0005782615,0.000011491037,0.000019116082,0.00003114795,0.000019189145,0.9861223,0.001058664,0.011864552,0.00021290022,0.000010275775],"about_ca_topic_score_codex":0.002124284,"about_ca_topic_score_gemma":0.0017227655,"teacher_disagreement_score":0.003125325,"about_ca_system_score_codex":0.00082511676,"about_ca_system_score_gemma":0.00084908743,"threshold_uncertainty_score":0.016528487},"labels":[],"label_agreement":null},{"id":"W3139080244","doi":"","title":"Are Government Bonds Globally Integrated","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Government bond; Bond market; Bond; Fixed income; Economics; Local currency; Risk premium; Asset allocation; Financial economics; Portfolio; Monetary economics; Emerging markets; Finance","score_opus":0.011497504924527417,"score_gpt":0.18611336007060952,"score_spread":0.1746158551460821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139080244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7872324,0.004510347,0.002708763,0.0060895747,0.00027827572,0.000033097705,0.0030554729,0.00016540018,0.19592667],"genre_scores_gemma":[0.9865133,0.0017958065,0.0003059407,0.00052912795,0.00019486352,0.000022643044,0.0016422806,0.000035566227,0.008960415],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989675,0.0001635926,0.00005930743,0.00026940525,0.00027471248,0.00026538866],"domain_scores_gemma":[0.9961171,0.00042092396,0.0022082848,0.00039163505,0.00044514282,0.00041680434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006953322,0.000262812,0.0005494451,0.0015373813,0.0008492412,0.0044314694,0.00037254926,0.0010525831,0.017044839],"category_scores_gemma":[0.0057650493,0.0001739759,0.00024137153,0.003542128,0.0010230396,0.0038574885,0.0015037196,0.0007974732,0.002910632],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072097685,0.00019875866,0.27422202,0.000305452,0.00032135635,0.0013784152,0.005171614,0.0015121412,0.0021423653,0.33395007,0.057262857,0.32281396],"study_design_scores_gemma":[0.00021490839,0.00026539605,0.38795146,0.0005522108,0.00028623315,0.004398812,0.0104800295,0.0037252374,0.0016616221,0.22416438,0.36619693,0.00010272716],"about_ca_topic_score_codex":0.0024581756,"about_ca_topic_score_gemma":0.001706975,"teacher_disagreement_score":0.017044839,"about_ca_system_score_codex":0.0009233843,"about_ca_system_score_gemma":0.0005371056,"threshold_uncertainty_score":0.057020664},"labels":[],"label_agreement":null},{"id":"W3139257539","doi":"10.1016/j.jcorpfin.2021.101926","title":"Corporate Twitter use and cost of equity capital","year":2021,"lang":"en","type":"article","venue":"Journal of Corporate Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Business; Cost of capital; Equity (law); Economics; Capital (architecture); Monetary economics; Microeconomics; Profit (economics); Political science; Geography","score_opus":0.14372523541796597,"score_gpt":0.2507066234199155,"score_spread":0.10698138800194953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139257539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930084,0.00030792734,0.00011955118,0.0004945107,0.000018636481,0.000007748331,0.0009820118,0.000009419145,0.005051865],"genre_scores_gemma":[0.99793327,0.000115272465,0.00002315532,0.000024005614,0.000026402402,0.0000026989817,0.00033853232,0.000002748107,0.0015338933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969196,0.00007130915,0.000029809908,0.000035820878,0.00008977508,0.00008140624],"domain_scores_gemma":[0.9849621,0.0072798515,0.0053941263,0.00049184874,0.000790834,0.0010813194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051526766,0.00013088943,0.00015171255,0.0008938378,0.0002956635,0.002034239,0.0003436297,0.00080683094,0.009888147],"category_scores_gemma":[0.0116255665,0.00013752685,0.00018842697,0.0012840262,0.00029272772,0.0016366707,0.00050637574,0.0007176652,0.0010248701],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026467384,0.00016887623,0.9842052,0.00002749081,0.0000909145,0.00014207575,0.0002443073,0.0010785884,0.00045535964,0.0017756766,0.001666086,0.009880812],"study_design_scores_gemma":[0.000010021921,0.00007365425,0.9915718,0.000019476736,0.00006527664,0.00018965497,0.00097308634,0.0035157602,0.0005075619,0.0010466748,0.0020119022,0.000015142944],"about_ca_topic_score_codex":0.009663282,"about_ca_topic_score_gemma":0.013792504,"teacher_disagreement_score":0.009888147,"about_ca_system_score_codex":0.00095128675,"about_ca_system_score_gemma":0.00026482425,"threshold_uncertainty_score":0.033079147},"labels":[],"label_agreement":null},{"id":"W3139377524","doi":"","title":"Well-Being Advisers","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Finance; Face (sociological concept); Financial services; Behavioral economics; Quarter (Canadian coin); Wonder; Economics; Attendance; Service (business); Business; Marketing; Sociology","score_opus":0.013233043160675896,"score_gpt":0.21610714259115257,"score_spread":0.20287409943047668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139377524","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048212014,0.0060183704,0.0038468742,0.0934303,0.0038418975,0.00018218311,0.0005908058,0.00062129117,0.8432563],"genre_scores_gemma":[0.3208435,0.0065223025,0.0048741708,0.041270737,0.001785523,0.00018042259,0.000843732,0.0003816439,0.62329805],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99649733,0.0011618393,0.00014418764,0.00043650367,0.00087786594,0.0008822453],"domain_scores_gemma":[0.9866638,0.001002786,0.0010350008,0.00062762375,0.0023202978,0.008350455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027610732,0.00046449451,0.00036483587,0.00093221926,0.0046025454,0.005881838,0.00096008804,0.0021065741,0.1444366],"category_scores_gemma":[0.011952225,0.00024475917,0.00032133053,0.0007230958,0.002416413,0.0053262655,0.00496575,0.0029996277,0.03941119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059918086,0.00023599665,0.011893978,0.00019737316,0.000019138866,0.0006642795,0.019695278,0.000092868824,0.0008962588,0.05024501,0.71716136,0.19883853],"study_design_scores_gemma":[0.0000057619854,0.000040578558,0.0035162352,0.00013534044,0.0000050667327,0.00044840548,0.0074259136,0.00005315948,0.00010030655,0.003236234,0.9850145,0.000018558809],"about_ca_topic_score_codex":0.0028171584,"about_ca_topic_score_gemma":0.006568555,"teacher_disagreement_score":0.1444366,"about_ca_system_score_codex":0.0016455615,"about_ca_system_score_gemma":0.0032388065,"threshold_uncertainty_score":0.48318857},"labels":[],"label_agreement":null},{"id":"W3140351657","doi":"","title":"The Shape and Term Structure of the Index Option Smirk: Why Multifactor Stochastic Volatility Models Work so Well","year":2009,"lang":"en","type":"article","venue":"CREATES Research Papers","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Econometrics; Stochastic volatility; Moneyness; Black–Scholes model; Implied volatility; Benchmark (surveying); Term (time); Mathematics; Stochastic modelling; Volatility (finance); Index (typography); Economics; Statistics; Computer science; Geology","score_opus":0.04717871778675268,"score_gpt":0.26867877641251914,"score_spread":0.22150005862576647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140351657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68705577,0.004590882,0.28221273,0.010572137,0.00027101708,0.000046077403,0.0006309749,0.0009472804,0.0136732],"genre_scores_gemma":[0.98830533,0.00056058884,0.009554877,0.00025936955,0.00008743465,0.000012841041,0.00016025659,0.00010494339,0.00095441536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988537,0.00041561344,0.000056428926,0.0002899607,0.00026121055,0.0001230197],"domain_scores_gemma":[0.9949891,0.0023889858,0.00093158154,0.0009070919,0.00052939676,0.00025383226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041908678,0.0008086998,0.0008634132,0.0007223626,0.00045272024,0.0028726633,0.0017204464,0.0022381512,0.0013167259],"category_scores_gemma":[0.019593721,0.000674231,0.0011381102,0.00082094886,0.001006054,0.004448743,0.0009004445,0.0021779547,0.00073655415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041318955,0.000109159155,0.07136137,0.00023967003,0.00036743705,0.0007678596,0.00064726797,0.5869571,0.008286674,0.23520228,0.0061991056,0.08944879],"study_design_scores_gemma":[0.000033587898,0.00004327133,0.011395608,0.000048126898,0.000040526484,0.00017667697,0.00006610763,0.83636934,0.0010644005,0.14943008,0.0012648746,0.00006746049],"about_ca_topic_score_codex":0.007199293,"about_ca_topic_score_gemma":0.0041961423,"teacher_disagreement_score":0.007199293,"about_ca_system_score_codex":0.0011895932,"about_ca_system_score_gemma":0.0007147568,"threshold_uncertainty_score":0.02216369},"labels":[],"label_agreement":null},{"id":"W3140571276","doi":"10.2139/ssrn.585885","title":"The Real Effects of Investor Sentiment","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Monetary economics; Sentiment analysis; Financial economics; Economics; Financial system; Computer science; Artificial intelligence","score_opus":0.008028652945833397,"score_gpt":0.19408166341962474,"score_spread":0.18605301047379133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140571276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983842,0.0007303065,0.0005672417,0.0029046747,0.00010951166,0.0000072076637,0.0009929361,0.000027073176,0.010818916],"genre_scores_gemma":[0.99769515,0.00023972701,0.000057967816,0.00008865664,0.000051547762,0.0000022420193,0.00020165913,0.0000094394245,0.0016536866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997271,0.00011392832,0.000019905723,0.000049974307,0.000037970007,0.000051079023],"domain_scores_gemma":[0.99126875,0.0058622467,0.0015997409,0.00028387498,0.00045888586,0.0005264502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012283203,0.00018625116,0.00030385132,0.00029406033,0.00020730672,0.0021259836,0.0002358903,0.0013562384,0.008888637],"category_scores_gemma":[0.012037363,0.00023954455,0.0002766478,0.00047319417,0.00044488304,0.0013907374,0.00047896293,0.001615216,0.0013992765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007354982,0.0012673322,0.75076973,0.0004917776,0.0008021241,0.002311864,0.001815295,0.033094738,0.02028183,0.066598706,0.03031136,0.08490027],"study_design_scores_gemma":[0.00020280559,0.00050642906,0.94690096,0.00005368404,0.00018867844,0.00033959915,0.0010323237,0.020820582,0.001429802,0.022130864,0.00633027,0.000063964646],"about_ca_topic_score_codex":0.0015032628,"about_ca_topic_score_gemma":0.0019723393,"teacher_disagreement_score":0.008888637,"about_ca_system_score_codex":0.0005580354,"about_ca_system_score_gemma":0.00014172102,"threshold_uncertainty_score":0.029735446},"labels":[],"label_agreement":null},{"id":"W3142011944","doi":"10.2139/ssrn.3798445","title":"Robustness and Dynamic Sentiment","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Robustness (evolution); Computer science; Artificial intelligence; Econometrics; Economics","score_opus":0.010135379591657211,"score_gpt":0.20169019319148876,"score_spread":0.19155481359983154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142011944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8707972,0.0013128344,0.040177315,0.009338503,0.00048514258,0.0000786305,0.0031060274,0.0006568638,0.07404744],"genre_scores_gemma":[0.99503267,0.00015448387,0.00046589336,0.00023955813,0.00014865653,0.000010542296,0.0004886561,0.000053843476,0.0034057882],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991672,0.00016154083,0.000058611982,0.00034668474,0.00011667584,0.00014929417],"domain_scores_gemma":[0.98798543,0.005328035,0.0033548342,0.0019968443,0.0008198219,0.00051490625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024602846,0.00045483568,0.0009340166,0.0009697944,0.0005909965,0.0030017833,0.00064793497,0.0013287314,0.019660637],"category_scores_gemma":[0.031439982,0.00033395144,0.000783413,0.00060896267,0.0012093345,0.0026217303,0.0012579958,0.0017853387,0.00212297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002277403,0.00039659295,0.11364731,0.0005334747,0.0013789501,0.0015048659,0.0014478588,0.08469785,0.014761427,0.6102548,0.051086135,0.11801327],"study_design_scores_gemma":[0.00018975713,0.00031750381,0.09079478,0.00009860369,0.0002905884,0.00064062007,0.0009440671,0.21455856,0.0032213184,0.6735112,0.015300364,0.00013260366],"about_ca_topic_score_codex":0.0015889625,"about_ca_topic_score_gemma":0.0007437302,"teacher_disagreement_score":0.019660637,"about_ca_system_score_codex":0.0009143048,"about_ca_system_score_gemma":0.00031724252,"threshold_uncertainty_score":0.06577134},"labels":[],"label_agreement":null},{"id":"W3142027120","doi":"","title":"The Joint Dynamics of Equity Market Factors","year":2011,"lang":"en","type":"article","venue":"CREATES Research Papers","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Equity (law); Economics; Portfolio; Econometrics; Capital asset pricing model; Factor analysis; Asset (computer security); Financial economics; Nonlinear system; Value (mathematics); Mathematics; Physics; Computer science; Statistics","score_opus":0.19392568138120428,"score_gpt":0.31089784711660146,"score_spread":0.11697216573539718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142027120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8229754,0.0006653419,0.14766736,0.0016064795,0.000056641828,0.00011626714,0.00079780293,0.00025235908,0.02586238],"genre_scores_gemma":[0.98812383,0.00021516286,0.005667962,0.00004231288,0.000020058835,0.000032826927,0.00014907462,0.000038196435,0.005710673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989611,0.00024104121,0.000051979645,0.0003131006,0.00028641583,0.00014641405],"domain_scores_gemma":[0.99321085,0.0032382302,0.0014769343,0.00080174906,0.00080344715,0.00046886408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022947327,0.00040071554,0.0006668742,0.0012216979,0.00056025374,0.0036286763,0.0006184213,0.0009905853,0.0065844865],"category_scores_gemma":[0.02337143,0.00054668536,0.0006050066,0.0009931802,0.0017575542,0.0052353065,0.0016990952,0.0018634018,0.00068589486],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028933326,0.0001262734,0.04699406,0.00007370817,0.00012890226,0.0005478772,0.00096216175,0.09711414,0.0069319163,0.78316027,0.0041499953,0.059521332],"study_design_scores_gemma":[0.00006388238,0.00012324224,0.03888149,0.000032943466,0.000051717343,0.00036955945,0.0002779552,0.37573728,0.0015125999,0.5772658,0.0055819885,0.00010162216],"about_ca_topic_score_codex":0.006544747,"about_ca_topic_score_gemma":0.003301931,"teacher_disagreement_score":0.0065844865,"about_ca_system_score_codex":0.0014256447,"about_ca_system_score_gemma":0.00089573814,"threshold_uncertainty_score":0.022027314},"labels":[],"label_agreement":null},{"id":"W3142532212","doi":"10.2139/ssrn.3488875","title":"Are Hedge Funds More Skilled than Other Institutional Investors? Evidence from Their Use of Insider Trading Information","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Insider trading; Hedge fund; Business; Insider; Institutional investor; Market liquidity; Fund of funds; Global assets under management; Open-end fund; Monetary economics; Alternative beta; Financial system; Pension; Finance; Economics; Corporate governance","score_opus":0.04803398383139071,"score_gpt":0.21916075108155963,"score_spread":0.17112676725016893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142532212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973568,0.00018577307,0.00010485953,0.0001379206,0.0000039209067,0.0000029157106,0.00006335558,0.000002752309,0.0021417749],"genre_scores_gemma":[0.9990491,0.00012775202,0.00006161951,0.000061444516,0.000011350581,0.0000016526524,0.00007063095,0.0000015281709,0.00061506405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945265,0.000099799516,0.000049129576,0.000089112895,0.00012994706,0.00017934266],"domain_scores_gemma":[0.9698971,0.013053748,0.013024563,0.0015122365,0.00096994726,0.0015424201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014715455,0.00017090082,0.0002469092,0.0008251585,0.0003589968,0.0016494085,0.00038320044,0.00083067175,0.0053347275],"category_scores_gemma":[0.013350639,0.00020747815,0.00021039322,0.0005351989,0.0006379706,0.0015219417,0.00057128654,0.0004793148,0.0008905352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010901255,0.00037659198,0.96791583,0.000051336287,0.00017195923,0.00026123878,0.0014929977,0.00022804132,0.0019266224,0.0009948075,0.0004956458,0.024994854],"study_design_scores_gemma":[0.000076199554,0.00029717587,0.99283504,0.000027085836,0.00007817116,0.0003561886,0.0018614084,0.00044952123,0.001324396,0.0012236307,0.0014535674,0.000017814644],"about_ca_topic_score_codex":0.004018934,"about_ca_topic_score_gemma":0.0045265597,"teacher_disagreement_score":0.0053347275,"about_ca_system_score_codex":0.0002208827,"about_ca_system_score_gemma":0.00022456577,"threshold_uncertainty_score":0.017846465},"labels":[],"label_agreement":null},{"id":"W3145805089","doi":"10.2139/ssrn.3107853","title":"Liquidity Risk and Corporate Risk-Taking","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Market liquidity; Business; Liquidity risk; Monetary economics; Economics; Finance","score_opus":0.028189174406544653,"score_gpt":0.21347111408937905,"score_spread":0.1852819396828344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145805089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865725,0.0027698237,0.0025102678,0.0021642668,0.000019214152,0.0000053278536,0.00005962843,0.000022883682,0.0058762482],"genre_scores_gemma":[0.99890697,0.00022639694,0.000073290896,0.000023838795,0.000026060947,0.0000010935569,0.000011277779,0.000001696424,0.000729321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973565,0.0000966485,0.00002369273,0.000035686768,0.000036114492,0.000072124945],"domain_scores_gemma":[0.98938656,0.006330116,0.0029348382,0.0002671863,0.00027372804,0.00080762646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010895323,0.00021774281,0.00025753945,0.0005475552,0.00041592057,0.0028227537,0.00029224614,0.0014631143,0.0047623],"category_scores_gemma":[0.009851098,0.00019357976,0.0002644556,0.00048445453,0.00080293935,0.0020385056,0.00077716005,0.0012782868,0.00032482058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022770418,0.0008638712,0.6623219,0.00021740484,0.00043842455,0.003345286,0.0030498519,0.031977493,0.003853163,0.22808726,0.0031793038,0.060388956],"study_design_scores_gemma":[0.00013397208,0.00046342693,0.33987084,0.000145346,0.00036065473,0.0012239226,0.00284788,0.052387528,0.001318208,0.5975295,0.0035784366,0.00014035802],"about_ca_topic_score_codex":0.0012207004,"about_ca_topic_score_gemma":0.001419466,"teacher_disagreement_score":0.0047623,"about_ca_system_score_codex":0.00050140533,"about_ca_system_score_gemma":0.00030554752,"threshold_uncertainty_score":0.015931427},"labels":[],"label_agreement":null},{"id":"W3146944041","doi":"10.2139/ssrn.2788349","title":"Bid- and Ask-Side Liquidity in the NYSE Limit Order Book","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Bid price; Market liquidity; Bid–ask spread; Ask price; Order (exchange); Order book; Business; Market maker; Limit (mathematics); Financial economics; Economics; Mathematics; Finance; History; Stock market","score_opus":0.018040359006378865,"score_gpt":0.20636581493901646,"score_spread":0.18832545593263758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146944041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9113555,0.0030656818,0.058354057,0.0044235154,0.00013401217,0.000050081322,0.00069750665,0.00044546055,0.021474093],"genre_scores_gemma":[0.99162126,0.0003496443,0.0013277262,0.00006630336,0.00010143538,0.00001846733,0.00012432011,0.000050067687,0.006340763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995148,0.00014871378,0.00003295232,0.00008032237,0.00011303756,0.00011003609],"domain_scores_gemma":[0.9857708,0.009864746,0.0017683058,0.0004272965,0.0008770214,0.0012918345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029658773,0.0004943994,0.00091911486,0.0012581869,0.00070381106,0.003821202,0.0010061067,0.0020163762,0.008583019],"category_scores_gemma":[0.025591645,0.0008742507,0.00048091888,0.00073167664,0.0018735798,0.0066581685,0.0013536343,0.0026871995,0.0009018613],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010146685,0.0002660042,0.030411704,0.00020586718,0.00007693098,0.0016280317,0.0010028674,0.15371968,0.0063346704,0.7778678,0.0075237835,0.01994799],"study_design_scores_gemma":[0.00007962542,0.00006743564,0.0092068575,0.000056391305,0.00003528807,0.00021559553,0.00014834477,0.7373854,0.00087749364,0.25122994,0.0006233914,0.0000742354],"about_ca_topic_score_codex":0.003925472,"about_ca_topic_score_gemma":0.005495176,"teacher_disagreement_score":0.008583019,"about_ca_system_score_codex":0.0011250286,"about_ca_system_score_gemma":0.0013575184,"threshold_uncertainty_score":0.028713048},"labels":[],"label_agreement":null},{"id":"W3148401513","doi":"","title":"Asymmetric Stock Price and Investor Awareness Reactions to Changes in the Nasdaq 100 Index","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Market liquidity; Stock (firearms); Index (typography); Monetary economics; Financial economics; Economics; Investor profile; Stock price; Stock market index; Stock market; Business; Behavioral economics; Finance","score_opus":0.02294260533893948,"score_gpt":0.23236705699776755,"score_spread":0.20942445165882806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148401513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981787,0.000022091315,0.00012844644,0.000039479568,0.000004433965,0.0000061505757,0.00006831393,0.0000037858858,0.0015485657],"genre_scores_gemma":[0.9995222,0.000018735864,0.00006877264,0.000020533567,0.0000133416215,0.0000036662632,0.00009929105,0.0000012479663,0.000252303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999223,0.00014637382,0.0000734205,0.00010406298,0.00035135593,0.00010179788],"domain_scores_gemma":[0.97931606,0.0046258816,0.013146447,0.0009509156,0.0010420504,0.00091857545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012371123,0.00020698455,0.00027199817,0.0007728243,0.00014203218,0.00083654973,0.00022194628,0.00046311403,0.002884306],"category_scores_gemma":[0.012658607,0.000092392766,0.00021320545,0.00056350074,0.00027236383,0.00079696346,0.0005177808,0.00064251124,0.0004122126],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005475773,0.00037083312,0.9691445,0.000031060197,0.000102651014,0.0002738107,0.00040276174,0.0015534328,0.010217348,0.0005119703,0.0004321118,0.016411934],"study_design_scores_gemma":[0.000006313045,0.00015771796,0.9965617,0.0000028681418,0.000013200865,0.00006913547,0.0001925223,0.0013474524,0.001174667,0.00028806698,0.0001763274,0.000010060413],"about_ca_topic_score_codex":0.0011253576,"about_ca_topic_score_gemma":0.0012227142,"teacher_disagreement_score":0.002884306,"about_ca_system_score_codex":0.0002823459,"about_ca_system_score_gemma":0.00015510773,"threshold_uncertainty_score":0.009648919},"labels":[],"label_agreement":null},{"id":"W3149871119","doi":"10.1111/caje.12505","title":"The life cycle of trading activity and liquidity of Government of Canada bonds: Evidence from cash, repo and securities lending markets","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Stylized fact; Market liquidity; Bond; Bond market; Cash; Monetary economics; Business; Financial market; Economics; Financial economics; Finance","score_opus":0.09464022150511488,"score_gpt":0.17078174579716776,"score_spread":0.07614152429205288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3149871119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98641324,0.0008976371,0.0002907414,0.00027419496,0.000004532076,0.00002745012,0.007413297,0.000026794454,0.004652108],"genre_scores_gemma":[0.9937338,0.00045871272,0.00015308318,0.000028139193,0.000006441737,0.0000063363536,0.004594509,0.000005962043,0.0010129333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995084,0.000042070653,0.000029538616,0.000069692986,0.00023883705,0.0001115251],"domain_scores_gemma":[0.9913591,0.0017492494,0.0030094015,0.00039933878,0.002474865,0.0010079221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008122114,0.00022411872,0.00032132963,0.002607135,0.00097274035,0.0019146512,0.0006943938,0.0005319131,0.0021573543],"category_scores_gemma":[0.008333603,0.00021549364,0.00029804,0.0040682824,0.0007084642,0.00069575344,0.00051094417,0.00060858845,0.00029973692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004250681,0.00011686124,0.96618986,0.0000886508,0.00015209694,0.00036674383,0.0009755062,0.006432759,0.0010391123,0.0036606244,0.0044156048,0.016137214],"study_design_scores_gemma":[0.000015148052,0.000028453054,0.98913574,0.000020379597,0.000032812415,0.000073247254,0.0005966104,0.0056411545,0.00054196926,0.0005934027,0.0032882225,0.00003280309],"about_ca_topic_score_codex":0.9150303,"about_ca_topic_score_gemma":0.9205745,"teacher_disagreement_score":0.0849697,"about_ca_system_score_codex":0.0058129556,"about_ca_system_score_gemma":0.004009943,"threshold_uncertainty_score":0.17094016},"labels":[],"label_agreement":null},{"id":"W3151008308","doi":"","title":"Anomalies Abroad: Beyond Data Mining","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Equity (law); Volatility (finance); Stock (firearms); Economics; Econometrics; Financial economics; Monetary economics; Geography; Political science","score_opus":0.09352956207443829,"score_gpt":0.32903502281775615,"score_spread":0.23550546074331785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151008308","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12444094,0.031692017,0.6698288,0.048621505,0.002640543,0.0009480519,0.047720015,0.021002784,0.053105365],"genre_scores_gemma":[0.5438928,0.011101931,0.37543467,0.0044621998,0.0023527038,0.0005352309,0.055464704,0.0011772908,0.0055784206],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935196,0.002070072,0.0006926058,0.0014774236,0.0020232887,0.00021702488],"domain_scores_gemma":[0.96110135,0.023550276,0.002241437,0.008322664,0.003808742,0.0009754611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008597316,0.0011760124,0.0014495999,0.007876259,0.0010696999,0.0077856956,0.0027274678,0.0018897465,0.0033501242],"category_scores_gemma":[0.048978284,0.0005685331,0.0014347776,0.008610491,0.001375663,0.009816035,0.003977575,0.0037787743,0.0024648542],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003743352,0.00039063228,0.08637096,0.0012577379,0.00060106727,0.0007788962,0.001077275,0.016739672,0.0016521611,0.06775823,0.086494155,0.7365049],"study_design_scores_gemma":[0.00009004345,0.00022120934,0.026866045,0.0016987328,0.0002507639,0.0010149006,0.0022811408,0.20018458,0.0055640372,0.52619106,0.23548596,0.0001514841],"about_ca_topic_score_codex":0.0033225385,"about_ca_topic_score_gemma":0.003448956,"teacher_disagreement_score":0.008597316,"about_ca_system_score_codex":0.0009371486,"about_ca_system_score_gemma":0.0022329427,"threshold_uncertainty_score":0.045467496},"labels":[],"label_agreement":null},{"id":"W3151845494","doi":"10.1016/j.mulfin.2021.100691","title":"The stabilizing effects of pension funds vs. mutual funds on country-specific market risk","year":2021,"lang":"en","type":"article","venue":"Journal of Multinational Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"National Natural Science Foundation of China","keywords":"Global assets under management; Pension; Passive management; Emerging markets; Business; Prudence; Institutional investor; Monetary economics; Fund of funds; Financial system; Volatility (finance); Financial market; Economics; Finance; Market liquidity; Corporate governance","score_opus":0.01406600249099024,"score_gpt":0.208667917472338,"score_spread":0.19460191498134777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151845494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99313027,0.00086279743,0.00048361404,0.0007216516,0.000026908669,0.000006870953,0.00009253724,0.000037368467,0.00463794],"genre_scores_gemma":[0.99944323,0.0001721174,0.000027696049,0.0000228135,0.000010685133,9.2070366e-7,0.000012132393,0.0000033273266,0.000307004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995339,0.00016971519,0.000024471557,0.000053332515,0.000037250098,0.0001813033],"domain_scores_gemma":[0.98609805,0.007740425,0.0035210568,0.00058170425,0.00086217414,0.0011966194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030381544,0.0004449475,0.00090658077,0.000963327,0.0006211266,0.003015666,0.00055444846,0.0015698806,0.004914191],"category_scores_gemma":[0.019859327,0.0002304999,0.00062397437,0.0005776847,0.0011600532,0.0019023137,0.0013684859,0.0010692527,0.00034110688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018057952,0.0008021296,0.42067733,0.0005493606,0.0017996466,0.0031673633,0.0020179409,0.1974336,0.024349801,0.22449967,0.007914613,0.09873065],"study_design_scores_gemma":[0.0012912484,0.0031928406,0.593188,0.00023862605,0.0058046854,0.0008625423,0.006067183,0.19771592,0.026836574,0.15879151,0.0056753703,0.00033547686],"about_ca_topic_score_codex":0.005239813,"about_ca_topic_score_gemma":0.004540873,"teacher_disagreement_score":0.005239813,"about_ca_system_score_codex":0.0010653934,"about_ca_system_score_gemma":0.0007483007,"threshold_uncertainty_score":0.016439617},"labels":[],"label_agreement":null},{"id":"W3151967591","doi":"10.2139/ssrn.3723841","title":"Who Listens to Corporate Conference Calls? The Effect of 'Soft Information' on Institutional Trading","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Institutional investor; Business; Stock (firearms); Stock price; Price discovery; Quarter (Canadian coin); Accounting; Corporate governance; Finance","score_opus":0.029776384345396544,"score_gpt":0.20285557705744067,"score_spread":0.17307919271204414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151967591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89619535,0.0016542497,0.0008886856,0.0280472,0.0006168056,0.000078369216,0.00050013076,0.00018584992,0.071833424],"genre_scores_gemma":[0.99365824,0.0003227091,0.0001362674,0.0020972355,0.000431441,0.000020520492,0.00011576252,0.000074565054,0.003143319],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.988122,0.0068517625,0.00060219655,0.0007807244,0.0016392262,0.0020042202],"domain_scores_gemma":[0.5048092,0.4079165,0.04812021,0.007847719,0.006463686,0.024842648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01521617,0.00023302008,0.000901497,0.0014463562,0.0026667793,0.011893513,0.0019640164,0.0060172896,0.047091052],"category_scores_gemma":[0.22011839,0.0005579239,0.00061713386,0.0018820256,0.002376042,0.005811209,0.0031579817,0.0074066874,0.0053111594],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018350227,0.008253169,0.6241065,0.00080932374,0.0010592369,0.002487407,0.020232175,0.00598375,0.0038804754,0.029535906,0.053717386,0.23158441],"study_design_scores_gemma":[0.0016832831,0.0016992938,0.8914612,0.00053920096,0.000926276,0.00065927743,0.038624514,0.008816076,0.0018537742,0.032707714,0.020658927,0.00037037916],"about_ca_topic_score_codex":0.010611291,"about_ca_topic_score_gemma":0.015452821,"teacher_disagreement_score":0.047091052,"about_ca_system_score_codex":0.0018892202,"about_ca_system_score_gemma":0.002419873,"threshold_uncertainty_score":0.1575352},"labels":[],"label_agreement":null},{"id":"W315207320","doi":"","title":"This Is Not a Game: Alan J. Pakula's Rollover","year":2005,"lang":"en","type":"article","venue":"Cineaction!","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rollover (web design); Nothing; Value (mathematics); The Internet; Pessimism; Media studies; Embarrassment; Art; Sociology; Advertising; Psychology; Social psychology; Philosophy; Computer science; World Wide Web; Business; Epistemology","score_opus":0.030999159190464556,"score_gpt":0.2195486947094946,"score_spread":0.18854953551903003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W315207320","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026464823,0.012175886,0.00027299675,0.88478,0.014347494,0.000012893171,0.000023212291,0.000053144104,0.08568789],"genre_scores_gemma":[0.12637213,0.02827735,0.00077612203,0.45050532,0.011888137,0.00009094218,0.000056122237,0.00027246264,0.38176146],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982699,0.00061077997,0.00004629369,0.00020687806,0.00041197328,0.00045414641],"domain_scores_gemma":[0.9969638,0.0012019887,0.00015195704,0.000113897,0.00065667514,0.0009117101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003003159,0.00045778003,0.00035686977,0.0005168003,0.012784373,0.009136242,0.001169063,0.005940751,0.009503117],"category_scores_gemma":[0.009295366,0.000352488,0.0002824587,0.00062009896,0.0049528102,0.008884832,0.0030962655,0.012080145,0.0034948608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010714182,0.000012857729,0.00008136828,0.000018531666,0.0000014923501,0.00013955063,0.0025306821,0.00002022149,0.00003969421,0.02334523,0.96653503,0.007264704],"study_design_scores_gemma":[0.000004689971,0.00001180652,0.00033627535,0.00013955803,0.0000026719897,0.00013978287,0.006966269,0.000056193607,0.00007923692,0.0058702803,0.9863811,0.000012159652],"about_ca_topic_score_codex":0.028351193,"about_ca_topic_score_gemma":0.053892553,"teacher_disagreement_score":0.028351193,"about_ca_system_score_codex":0.005285153,"about_ca_system_score_gemma":0.0037464527,"threshold_uncertainty_score":0.056372344},"labels":[],"label_agreement":null},{"id":"W3152246844","doi":"","title":"Heterogeneous Investors and their Changing Demand and Supply Schedules for Individual Common Stocks","year":2004,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Margin (machine learning); Monetary economics; Arbitrage; Supply and demand; Demand shock; Financial crisis; Stock (firearms); Business; Financial economics; Microeconomics; Macroeconomics","score_opus":0.22634951397880998,"score_gpt":0.38816359098307346,"score_spread":0.16181407700426348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152246844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98808527,0.00018613515,0.0057448414,0.0018008023,0.000013759979,0.000014223153,0.00018182887,0.000015108186,0.003957985],"genre_scores_gemma":[0.99705684,0.00014127756,0.00062431674,0.000077860255,0.000012821637,0.0000073835195,0.00008754223,0.000008286107,0.001983597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995962,0.000116474956,0.00002616974,0.00010259752,0.000055586836,0.00010302982],"domain_scores_gemma":[0.99202746,0.0042657,0.0020662034,0.0006071725,0.0004143533,0.000619124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028800853,0.00017524441,0.0004887799,0.0006296554,0.00044351642,0.002217915,0.0006428531,0.0012326473,0.0071098674],"category_scores_gemma":[0.020820523,0.0005691962,0.00036951952,0.00059160433,0.0007366672,0.002673705,0.00091542583,0.0012567898,0.00067536737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028114808,0.00029460684,0.53148746,0.00009828542,0.00056740444,0.001890562,0.004194175,0.09652005,0.013132077,0.2279785,0.010550123,0.110475354],"study_design_scores_gemma":[0.00052925985,0.0002971421,0.40094092,0.000036520636,0.00035981482,0.0008403455,0.0037563175,0.21546371,0.0038340755,0.36733043,0.0063690506,0.0002424053],"about_ca_topic_score_codex":0.005554838,"about_ca_topic_score_gemma":0.010957422,"teacher_disagreement_score":0.0071098674,"about_ca_system_score_codex":0.001156165,"about_ca_system_score_gemma":0.00034558895,"threshold_uncertainty_score":0.023784935},"labels":[],"label_agreement":null},{"id":"W3152924348","doi":"10.2139/ssrn.3300120","title":"Information Content of Option Prices: Comparing Analyst Forecasts to Option-Based Forecasts","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Proxy (statistics); Consensus forecast; Valuation of options; Econometrics; Economics; Public information; Financial economics; Dispersion (optics); Actuarial science; Computer science","score_opus":0.03151894131584941,"score_gpt":0.20946672613312425,"score_spread":0.17794778481727486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152924348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883807,0.0007320984,0.006068762,0.0003808822,0.00004521339,0.000014094356,0.0005549006,0.00006390556,0.0037593609],"genre_scores_gemma":[0.9989077,0.00015012376,0.00045903755,0.000015370253,0.000040396015,0.0000031142993,0.00028832545,0.000009535046,0.0001264111],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985152,0.00058215903,0.00010282589,0.00015553027,0.0005546155,0.00008974101],"domain_scores_gemma":[0.86976117,0.12051196,0.0037610314,0.0023230538,0.0031120407,0.00053081574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047652777,0.00026101555,0.00038248874,0.002858893,0.0001993351,0.0018999658,0.0005602591,0.0009138115,0.0023255353],"category_scores_gemma":[0.08587099,0.00015850285,0.00034678797,0.0015203926,0.00036218605,0.003417078,0.00065089006,0.0005554042,0.0003606662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013417464,0.00076361693,0.5143271,0.00091195555,0.001385217,0.0012158144,0.002482528,0.14077887,0.020733414,0.022989202,0.0055925273,0.27540237],"study_design_scores_gemma":[0.00027992373,0.0011060488,0.48655018,0.00017374945,0.0007588847,0.00093267485,0.0009346939,0.4456418,0.009902682,0.05173089,0.0018481859,0.00014033202],"about_ca_topic_score_codex":0.0011412379,"about_ca_topic_score_gemma":0.0006105702,"teacher_disagreement_score":0.0047652777,"about_ca_system_score_codex":0.0003776968,"about_ca_system_score_gemma":0.00026559594,"threshold_uncertainty_score":0.02520144},"labels":[],"label_agreement":null},{"id":"W3153149270","doi":"10.2139/ssrn.3732445","title":"Is the Presidential Premium Spurious","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; St. Mary's University; Dalhousie University","funders":"","keywords":"Spurious relationship; Presidential system; Econometrics; Economics; Political science; Mathematics; Statistics; Law; Politics","score_opus":0.02037099503265644,"score_gpt":0.20457152092435785,"score_spread":0.1842005258917014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153149270","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.291843,0.004359514,0.0040423446,0.1428891,0.009222471,0.000033191776,0.0028109744,0.0005219711,0.5442774],"genre_scores_gemma":[0.9454011,0.0007991604,0.00025985995,0.005173552,0.0044430965,0.000012109962,0.00048018288,0.000086422246,0.04334458],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998459,0.00033461454,0.000064811655,0.0002570097,0.0004250716,0.00045954558],"domain_scores_gemma":[0.9890765,0.004163913,0.0025420773,0.0008162316,0.0013253485,0.0020758815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016764324,0.00017925122,0.0005277382,0.001247902,0.000946469,0.0039385376,0.00036998114,0.0020067291,0.06296774],"category_scores_gemma":[0.018966498,0.00017214869,0.00022588407,0.001165957,0.00074731937,0.002407946,0.0008491903,0.0020701096,0.01039469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004243859,0.00031240057,0.0984761,0.00019240622,0.0001469039,0.0003820351,0.0013000811,0.0003608422,0.0012776403,0.28823358,0.41041344,0.19848013],"study_design_scores_gemma":[0.00015071117,0.00017833385,0.30145735,0.00024750587,0.00019708817,0.0012787826,0.0029899941,0.0022033623,0.0016663605,0.25219643,0.4373431,0.00009096419],"about_ca_topic_score_codex":0.0017392045,"about_ca_topic_score_gemma":0.0017959542,"teacher_disagreement_score":0.06296774,"about_ca_system_score_codex":0.0005768778,"about_ca_system_score_gemma":0.0006749768,"threshold_uncertainty_score":0.21064812},"labels":[],"label_agreement":null},{"id":"W3153178341","doi":"10.2139/ssrn.3586964","title":"Does Ownership Concentration Affect Corporate Bond Volatility? The Role of Illiquidity","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Volatility (finance); Affect (linguistics); Bond; Monetary economics; Business; Corporate bond; Financial economics; Economics; Financial system; Finance; Psychology","score_opus":0.02599491389538022,"score_gpt":0.20180151819412293,"score_spread":0.1758066042987427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153178341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956252,0.0004955481,0.00026226195,0.00077708845,0.000013025055,0.000004671015,0.00011830715,0.000006844041,0.0026970045],"genre_scores_gemma":[0.9990976,0.00010356414,0.000027741366,0.000042532112,0.000018148245,0.0000010263752,0.00003697094,0.00000450641,0.0006679886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997112,0.00009268486,0.000024830819,0.000057934754,0.000031405805,0.00008191479],"domain_scores_gemma":[0.98275095,0.009127474,0.004769817,0.00077788555,0.0006215558,0.0019522678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011249562,0.00016863763,0.00044504422,0.00038716558,0.00029400733,0.0021607145,0.00046543108,0.0012474189,0.008878107],"category_scores_gemma":[0.011887804,0.00019871362,0.0003974131,0.00040820419,0.0007781835,0.001979536,0.00060380803,0.0008891027,0.0008813374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013015053,0.00043167884,0.971292,0.000057017136,0.0003393179,0.0007495265,0.0005365873,0.0023304115,0.0047281873,0.0036780727,0.0008504555,0.013705277],"study_design_scores_gemma":[0.00004435312,0.0002515864,0.98874986,0.000025411262,0.00021272918,0.00020512257,0.0006216641,0.0040265364,0.0011429607,0.00376456,0.00093686127,0.00001844396],"about_ca_topic_score_codex":0.003738163,"about_ca_topic_score_gemma":0.0028362088,"teacher_disagreement_score":0.008878107,"about_ca_system_score_codex":0.00036812978,"about_ca_system_score_gemma":0.00035851472,"threshold_uncertainty_score":0.02970022},"labels":[],"label_agreement":null},{"id":"W3153581931","doi":"","title":"Influence of Investors' Monitoring on Equity Mutual Funds' Performance","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Business; Institutional investor; Global assets under management; Proxy (statistics); Closed-end fund; Equity (law); Fund of funds; Passive management; Finance; Sample (material); Open-end fund; Corporate governance; Statistics; Mathematics","score_opus":0.04100764016019336,"score_gpt":0.2613508024405565,"score_spread":0.2203431622803631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153581931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99862635,0.00011248852,0.0001207885,0.00008067863,0.0000022335369,0.0000021139724,0.000035162317,0.000004842606,0.001015293],"genre_scores_gemma":[0.99983394,0.000027887087,0.000034074772,0.0000035654843,0.000007411941,5.950901e-7,0.000020953396,5.3859725e-7,0.00007107227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998262,0.0007790577,0.00016128522,0.00016090083,0.0003661365,0.00027070846],"domain_scores_gemma":[0.94304967,0.023664052,0.028910395,0.0011875235,0.0016171046,0.0015712667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003072053,0.00021219064,0.0002541702,0.0008982059,0.000198116,0.0013300224,0.00024980397,0.0004439172,0.0007080262],"category_scores_gemma":[0.025040427,0.000099984936,0.00019640781,0.0008925407,0.00038498105,0.0006820181,0.00053090433,0.00042341728,0.00015038346],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021547465,0.000056216835,0.98727834,0.000010549261,0.00007289368,0.00009092249,0.00012662681,0.0012837813,0.00052631565,0.00033324215,0.00013112994,0.009874562],"study_design_scores_gemma":[0.000006525617,0.00012411897,0.9958397,0.0000054765687,0.000040096045,0.00007626386,0.00012765071,0.0026488844,0.0006750568,0.00019886982,0.00024988863,0.000007535232],"about_ca_topic_score_codex":0.0030075682,"about_ca_topic_score_gemma":0.0030049728,"teacher_disagreement_score":0.003072053,"about_ca_system_score_codex":0.00075238396,"about_ca_system_score_gemma":0.0004521934,"threshold_uncertainty_score":0.016246736},"labels":[],"label_agreement":null},{"id":"W3154062084","doi":"10.5539/ijef.v13n5p9","title":"Forecasting the Market Equity Premium: Does Nonlinearity Matter?","year":2021,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Smoothing; Estimator; Overfitting; Nonlinear system; Equity premium puzzle; Economics; Equity (law); Smoothing spline; Spline (mechanical); Computer science; Risk premium; Mathematics; Statistics; Artificial intelligence; Engineering","score_opus":0.041737443397134616,"score_gpt":0.24547755312858716,"score_spread":0.20374010973145254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154062084","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.406102,0.0006770916,0.58486134,0.0029102578,0.00011910976,0.000057912446,0.00024088065,0.0003745613,0.004656921],"genre_scores_gemma":[0.97131336,0.0003011372,0.026735479,0.00011946047,0.00010690428,0.000019951533,0.00016755136,0.00002618051,0.0012099433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940073,0.00023279566,0.00003307569,0.00013298242,0.00014100233,0.000059351656],"domain_scores_gemma":[0.99456656,0.0037643178,0.00059178885,0.0003574296,0.0005913911,0.00012854207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003447172,0.000619057,0.0006586905,0.0007057169,0.00026572944,0.0014174432,0.00078813033,0.00085666927,0.0014815659],"category_scores_gemma":[0.014883268,0.00026567496,0.0005055081,0.00067741115,0.00063950033,0.0022726732,0.00093994616,0.0013754613,0.0004841508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049892196,0.00026374529,0.2023559,0.00016281666,0.000407303,0.00037039994,0.00035279218,0.4444889,0.007920957,0.029387325,0.002302387,0.31148848],"study_design_scores_gemma":[0.00001717922,0.00009765036,0.01224452,0.000017904717,0.000059963146,0.000046842073,0.00005583074,0.96367955,0.001361066,0.021822238,0.0005676813,0.000029573426],"about_ca_topic_score_codex":0.0035202273,"about_ca_topic_score_gemma":0.0035956453,"teacher_disagreement_score":0.0035202273,"about_ca_system_score_codex":0.00029258154,"about_ca_system_score_gemma":0.000889812,"threshold_uncertainty_score":0.018230617},"labels":[],"label_agreement":null},{"id":"W3154320240","doi":"10.1093/rof/rfab010","title":"The Dollar Profits to Insider Trading","year":2021,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Liberian dollar; Insider; Insider trading; Scrutiny; Monetary economics; Economics; Business; Financial economics; Finance","score_opus":0.05390688514894691,"score_gpt":0.2378599624783122,"score_spread":0.18395307732936528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154320240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90712446,0.02511917,0.006964835,0.00230938,0.00023768705,0.000027121932,0.0010129311,0.00008881904,0.05711559],"genre_scores_gemma":[0.9918637,0.0044389013,0.00031099236,0.00006883712,0.00025420415,0.000005533906,0.00034065978,0.0000083989235,0.0027087817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992274,0.00021917133,0.000056639477,0.00009999421,0.00033612343,0.00006073881],"domain_scores_gemma":[0.9866145,0.004542338,0.0069717895,0.00039167822,0.0010002994,0.00047934963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011221285,0.0002991086,0.00034839593,0.001381441,0.00016090121,0.0018358154,0.00025283627,0.0004204177,0.00292734],"category_scores_gemma":[0.010098139,0.000107857166,0.0002646478,0.0014595927,0.0008362712,0.0013848718,0.00072427094,0.0005919032,0.00042940452],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063301955,0.00027954063,0.60995954,0.0008943581,0.0006940025,0.00093275873,0.00072035164,0.017910458,0.0032761514,0.11901181,0.012004195,0.23368381],"study_design_scores_gemma":[0.000025022928,0.00037654376,0.88287354,0.00054031354,0.00026560907,0.0010021353,0.0008072468,0.0137736015,0.0023775022,0.06433067,0.033548612,0.000079139645],"about_ca_topic_score_codex":0.00076566794,"about_ca_topic_score_gemma":0.0006633454,"teacher_disagreement_score":0.00292734,"about_ca_system_score_codex":0.0006296275,"about_ca_system_score_gemma":0.00026731507,"threshold_uncertainty_score":0.009792924},"labels":[],"label_agreement":null},{"id":"W3154912239","doi":"10.3982/qe1570","title":"Recalcitrant betas: Intraday variation in the cross‐sectional dispersion of systematic risk","year":2021,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"Dorrance Family Foundation; National Science Foundation","keywords":"Dispersion (optics); Econometrics; Economics; Panel data; Distribution (mathematics); Earnings; Systematic risk; Limit (mathematics); Mathematics; Physics; Finance","score_opus":0.061864547685878304,"score_gpt":0.26474337069081566,"score_spread":0.20287882300493737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154912239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92175686,0.00058757985,0.074965425,0.00018713687,0.00001550148,0.000016631804,0.00034845422,0.00016110546,0.0019613078],"genre_scores_gemma":[0.99576086,0.00017782615,0.0029882896,0.000021069429,0.000025107334,0.000016038257,0.0002895758,0.00002584466,0.00069536915],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958366,0.00014079161,0.000025755979,0.00014374331,0.0000653832,0.000040596893],"domain_scores_gemma":[0.98743314,0.006933532,0.0029453714,0.0017938735,0.00059814606,0.0002960069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029814988,0.00034066098,0.00035008715,0.0012004977,0.00020470044,0.0008591925,0.0006386848,0.00054897065,0.001406576],"category_scores_gemma":[0.015775466,0.00028772152,0.00038570384,0.0009024063,0.00053909793,0.0011559728,0.0005513823,0.00078961573,0.00027597946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004016938,0.00026653946,0.590412,0.0002359032,0.00088721304,0.0020107054,0.0022794937,0.14930615,0.04538047,0.08752826,0.0027828696,0.11850872],"study_design_scores_gemma":[0.000020050014,0.00023629537,0.4475493,0.0000553072,0.00011259022,0.0012512757,0.00026318012,0.50256944,0.005461346,0.039991427,0.002387819,0.00010187706],"about_ca_topic_score_codex":0.0015243944,"about_ca_topic_score_gemma":0.0011430912,"teacher_disagreement_score":0.0029814988,"about_ca_system_score_codex":0.00030431084,"about_ca_system_score_gemma":0.00012694712,"threshold_uncertainty_score":0.015767872},"labels":[],"label_agreement":null},{"id":"W3154991253","doi":"10.2139/ssrn.3097592","title":"Economic Policy Uncertainty, Monetary Policy Uncertainty, and Bank Earnings Opacity","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; McMaster University","funders":"","keywords":"Earnings; Monetary policy; Economics; Monetary economics; Financial system; Accounting","score_opus":0.012229303655357017,"score_gpt":0.2286074495622845,"score_spread":0.21637814590692747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154991253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730406,0.0017517041,0.0022796895,0.008296206,0.00006067289,0.000009823957,0.00017502488,0.000023089617,0.014363308],"genre_scores_gemma":[0.9991021,0.00028985945,0.000039643146,0.000091687376,0.000049244838,0.0000016326316,0.00002287446,0.0000027011147,0.00040026114],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993625,0.00018732932,0.000057472345,0.00007916516,0.0001178922,0.00019561246],"domain_scores_gemma":[0.9683943,0.021318985,0.007664249,0.0006897781,0.00077224156,0.0011604931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029676938,0.00018194923,0.00048722996,0.0005443165,0.0005174436,0.004644433,0.0003604024,0.0016422584,0.004988564],"category_scores_gemma":[0.03494316,0.00024329155,0.0002687287,0.00074168044,0.001521336,0.002693225,0.0013588539,0.0026342084,0.00026297945],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030161194,0.00086540275,0.59893364,0.00019147346,0.00040551403,0.001342446,0.0029359881,0.06041024,0.0017316988,0.27855688,0.0062673064,0.045343388],"study_design_scores_gemma":[0.00015947547,0.00021093921,0.4738407,0.000111577414,0.00032889203,0.00028724028,0.0028267342,0.043325208,0.00080335053,0.47408426,0.0039212527,0.00010029262],"about_ca_topic_score_codex":0.0056320406,"about_ca_topic_score_gemma":0.0031061808,"teacher_disagreement_score":0.0056320406,"about_ca_system_score_codex":0.0010602146,"about_ca_system_score_gemma":0.00079354463,"threshold_uncertainty_score":0.016688347},"labels":[],"label_agreement":null},{"id":"W3155421215","doi":"10.3386/w25269","title":"Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Institute on Aging","keywords":"Stock (firearms); Financial economics; Economics; Business; Attenuation; Monetary economics; Econometrics; Geography; Physics","score_opus":0.39474650633334873,"score_gpt":0.4410689694428135,"score_spread":0.04632246310946475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155421215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808313,0.0006346031,0.008749747,0.0026355824,0.000015755995,0.000028534232,0.00068065646,0.00004397891,0.00637974],"genre_scores_gemma":[0.99790835,0.00015776383,0.0005583541,0.00013699871,0.000033706117,0.000014564014,0.0004103124,0.0000069237576,0.0007731704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971301,0.0015463164,0.00021157732,0.00038394675,0.00053880614,0.00018926099],"domain_scores_gemma":[0.93901247,0.041530438,0.010740561,0.006557501,0.0016224012,0.00053655525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062987627,0.00034135443,0.0006690217,0.000720915,0.00029060768,0.0017278361,0.0006827859,0.00066766085,0.0047962344],"category_scores_gemma":[0.04757916,0.00036176332,0.00051454053,0.0011339653,0.0009823897,0.0015705101,0.0014839696,0.0013153846,0.00053769187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018174665,0.00010834688,0.9594574,0.000033869186,0.00035611528,0.0001459909,0.0008072963,0.002669776,0.0002805123,0.007203369,0.0013336022,0.027421953],"study_design_scores_gemma":[0.000044189856,0.00013053053,0.95947695,0.00006213225,0.00041229546,0.00032565123,0.0016757406,0.011585271,0.0008991759,0.021755261,0.0035985494,0.00003425057],"about_ca_topic_score_codex":0.009969714,"about_ca_topic_score_gemma":0.0051978137,"teacher_disagreement_score":0.009969714,"about_ca_system_score_codex":0.00041659793,"about_ca_system_score_gemma":0.000380319,"threshold_uncertainty_score":0.033311427},"labels":[],"label_agreement":null},{"id":"W3155439741","doi":"10.24908/iqurcp.9843","title":"The Effect of Quantitative Easing on Investment in the US and UK: An SVAR Approach","year":2018,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quantitative easing; Economics; Bond; Asset (computer security); Investment (military); Market liquidity; Monetary economics; Econometric model; Financial economics; Monetary policy; Econometrics; Finance; Central bank","score_opus":0.13561827144832891,"score_gpt":0.3514473630532518,"score_spread":0.2158290916049229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155439741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9731347,0.0016798124,0.013894025,0.0012197609,0.00010391793,0.00003983481,0.0017297124,0.00007724086,0.008120983],"genre_scores_gemma":[0.9928398,0.00090793794,0.0015942118,0.00011790048,0.00004032354,0.000024322322,0.0012530868,0.000016008145,0.0032063886],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99796695,0.0009301917,0.00015818593,0.00033575817,0.00031898715,0.00028987328],"domain_scores_gemma":[0.9904585,0.0068324977,0.0015242964,0.00037149753,0.0005922323,0.00022096372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027536873,0.00050319335,0.00066996634,0.0013169453,0.00022639378,0.0020159436,0.00055707165,0.00066812104,0.0026552407],"category_scores_gemma":[0.0103252,0.0004289185,0.0010753266,0.0017129905,0.000709502,0.0011259296,0.0011320965,0.0014021051,0.0004062833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012358953,0.00032933237,0.44076398,0.00036391418,0.0017460345,0.0015788713,0.00073690416,0.43081427,0.0027770465,0.05298065,0.0070081167,0.05966498],"study_design_scores_gemma":[0.00008008327,0.001160957,0.42579412,0.00013131983,0.0006008434,0.00017421108,0.001025585,0.54485124,0.003269194,0.012131376,0.010621345,0.00015972959],"about_ca_topic_score_codex":0.053967215,"about_ca_topic_score_gemma":0.027770339,"teacher_disagreement_score":0.053967215,"about_ca_system_score_codex":0.0021167565,"about_ca_system_score_gemma":0.0006217634,"threshold_uncertainty_score":0.10730618},"labels":[],"label_agreement":null},{"id":"W3155967393","doi":"10.1016/j.jacceco.2021.101417","title":"The demand for public information by local and nonlocal investors: Evidence from investor-level data","year":2021,"lang":"en","type":"article","venue":"Journal of Accounting and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Public information; Order (exchange); Institutional investor; Business; Quarter (Canadian coin); Finance; Investor behavior; Economics; Financial economics; Monetary economics; Corporate governance; Public relations","score_opus":0.09567099100016632,"score_gpt":0.23532201525101534,"score_spread":0.13965102425084902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155967393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994859,0.00032092788,0.00028220625,0.00076616794,0.0000038866287,0.0000071127256,0.0012586727,0.000010733147,0.0024912206],"genre_scores_gemma":[0.9984775,0.00016941091,0.000062671155,0.000062520005,0.000011011835,0.0000038943795,0.00084366405,0.0000047656,0.0003645974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852544,0.000580782,0.00014658416,0.00024245855,0.00031766735,0.00018706107],"domain_scores_gemma":[0.8579582,0.09638498,0.032544114,0.006178998,0.0046424386,0.002291326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036406105,0.00014760999,0.00048851257,0.0010668489,0.00035316325,0.0023059621,0.0007300485,0.0012439217,0.0057107303],"category_scores_gemma":[0.036390238,0.00032054356,0.00033876137,0.002148104,0.0007626249,0.0029977243,0.00082127785,0.00085888297,0.0011193729],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010258114,0.00020159029,0.98086447,0.00010575836,0.0002797043,0.0002719395,0.0011751584,0.0019797308,0.0005599544,0.0014706323,0.0020109,0.0100543],"study_design_scores_gemma":[0.00017886769,0.00016701009,0.9784015,0.00006674237,0.00025531655,0.00029047576,0.0033644033,0.008223096,0.0018579504,0.002870961,0.004268203,0.00005543774],"about_ca_topic_score_codex":0.014087053,"about_ca_topic_score_gemma":0.013203617,"teacher_disagreement_score":0.014087053,"about_ca_system_score_codex":0.0007642618,"about_ca_system_score_gemma":0.00036615384,"threshold_uncertainty_score":0.02801013},"labels":[],"label_agreement":null},{"id":"W3156016264","doi":"","title":"Herding by Mutual Funds: Impact on Performance and Investors’ Response","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Herding; Herd; Herd behavior; Fund of funds; Global assets under management; Equity (law); Business; Institutional investor; Passive management; Commodity pool; Monetary economics; Quarter (Canadian coin); Closed-end fund; Finance; Economics; Market liquidity; Geography; Corporate governance","score_opus":0.014427208913775863,"score_gpt":0.21400614809982255,"score_spread":0.1995789391860467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156016264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990687,0.00013532577,0.00009802784,0.00008954439,0.0000021895557,0.0000035178443,0.000030964165,0.0000037105278,0.0005681532],"genre_scores_gemma":[0.99968135,0.000038466784,0.000040461477,0.000013253409,0.000008253994,0.0000015952965,0.000029978568,5.5655914e-7,0.00018609101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946326,0.0001238034,0.000052881755,0.000082601815,0.00010591869,0.00017155254],"domain_scores_gemma":[0.9884151,0.0026226044,0.0075647496,0.00032800034,0.00036832487,0.0007012505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002021757,0.00016120513,0.0003057238,0.000565852,0.00024117713,0.0009163032,0.0002575338,0.00068605604,0.0015854789],"category_scores_gemma":[0.009018941,0.000094361785,0.00024013863,0.0004873154,0.00039991242,0.00067397207,0.00071681244,0.00047513295,0.00020303922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032293255,0.000094814495,0.98463523,0.000022843997,0.000111562484,0.00014575852,0.00031635741,0.0015522521,0.0014149357,0.0003632151,0.00021448788,0.010805689],"study_design_scores_gemma":[0.000010810661,0.00041169682,0.9944971,0.0000115015255,0.00007275847,0.00010469637,0.00045971127,0.0027541174,0.00076996034,0.0004187675,0.00047765177,0.000011109083],"about_ca_topic_score_codex":0.0033152718,"about_ca_topic_score_gemma":0.0036988896,"teacher_disagreement_score":0.0033152718,"about_ca_system_score_codex":0.0007889219,"about_ca_system_score_gemma":0.00024545044,"threshold_uncertainty_score":0.010692239},"labels":[],"label_agreement":null},{"id":"W3156335520","doi":"10.2139/ssrn.3771519","title":"The Option to Pay Attention","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Actuarial science; Mathematical economics","score_opus":0.013545682223018819,"score_gpt":0.20917947991063826,"score_spread":0.19563379768761943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156335520","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022734309,0.0013001519,0.0049290746,0.19357947,0.0050830967,0.00005121293,0.00016103072,0.00024051606,0.7719211],"genre_scores_gemma":[0.4946134,0.00074151787,0.0024072174,0.062220495,0.0038421522,0.00011742993,0.00016202164,0.00013920489,0.43575653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982535,0.00043575306,0.000057531557,0.00026310683,0.0005099841,0.00048004847],"domain_scores_gemma":[0.9937297,0.0014496323,0.000411417,0.0009611856,0.000800086,0.002647932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018229072,0.0002991976,0.00031840606,0.0006001931,0.0013669527,0.005035344,0.0010950175,0.007346609,0.13617152],"category_scores_gemma":[0.017080026,0.00015240227,0.0003651193,0.00033103648,0.0017816596,0.0046720114,0.0025157172,0.0046520378,0.028580708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036973556,0.00033785612,0.005666473,0.0000978333,0.00005219015,0.0015916422,0.0012251699,0.00039511133,0.0017276972,0.40156648,0.37457114,0.21239866],"study_design_scores_gemma":[0.00013139663,0.00013942565,0.0035369701,0.0002019655,0.000031162654,0.0020336134,0.0019804495,0.0014263325,0.00065015734,0.34099054,0.64880776,0.000070281],"about_ca_topic_score_codex":0.00072232337,"about_ca_topic_score_gemma":0.0011639871,"teacher_disagreement_score":0.13617152,"about_ca_system_score_codex":0.0006888128,"about_ca_system_score_gemma":0.0018390792,"threshold_uncertainty_score":0.4555391},"labels":[],"label_agreement":null},{"id":"W3156374383","doi":"10.2139/ssrn.3864534","title":"Do Analysts Cater to Investor Beliefs? Evidence from Market Liberalization in China","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"China; Liberalization; Business; Economics; Monetary economics; International economics; Financial economics; Market economy; Political science","score_opus":0.019838236049908493,"score_gpt":0.22595192103346237,"score_spread":0.20611368498355387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156374383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971545,0.00025259578,0.00003168869,0.0006603496,0.0000046929317,0.000003907227,0.0000723855,0.000002118011,0.0018177809],"genre_scores_gemma":[0.9995801,0.00010046249,0.000007776629,0.000052888186,0.000010907664,0.0000011156734,0.00005548118,5.1671157e-7,0.00019062521],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939334,0.000121053854,0.000043472122,0.00008300936,0.00014596214,0.00021314165],"domain_scores_gemma":[0.9810198,0.0044224723,0.010413298,0.00092844496,0.001643115,0.0015729422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015364776,0.0001993416,0.00025703682,0.0011227016,0.00060491724,0.0011310552,0.00046087403,0.0006535954,0.0025312942],"category_scores_gemma":[0.0069445153,0.00015828478,0.00026451412,0.0014537063,0.0010590082,0.0011269093,0.00083968794,0.0006919354,0.00020557221],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023570881,0.00006777992,0.9885048,0.000024052892,0.00006669924,0.00024930856,0.0018644484,0.00018907883,0.00042500402,0.0008077829,0.0004940068,0.0070713526],"study_design_scores_gemma":[0.000017189595,0.000034567754,0.99744225,0.000008287736,0.000031869673,0.000021109414,0.001199131,0.00023472808,0.00016041585,0.00024964925,0.00059456675,0.0000061958785],"about_ca_topic_score_codex":0.047902692,"about_ca_topic_score_gemma":0.060347196,"teacher_disagreement_score":0.047902692,"about_ca_system_score_codex":0.001057956,"about_ca_system_score_gemma":0.0013341213,"threshold_uncertainty_score":0.095247746},"labels":[],"label_agreement":null},{"id":"W3156978998","doi":"10.2308/tar-2018-0289","title":"Expected Stock Returns Worldwide: A Log-Linear Present-Value Approach","year":2021,"lang":"en","type":"article","venue":"The Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Valuation (finance); Econometrics; Equity (law); Stock (firearms); Economics; Earnings; Financial economics; Expected return; Accounting research; Book value; Market value; Residual income valuation; Actuarial science; Business; Accounting; Portfolio; Equity risk; Geography","score_opus":0.055014287905807056,"score_gpt":0.26041412302918127,"score_spread":0.2053998351233742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156978998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59289664,0.008672408,0.304623,0.0044534914,0.00030597276,0.00035974025,0.023796346,0.0023345195,0.06255779],"genre_scores_gemma":[0.9772759,0.000997291,0.00887383,0.00013993995,0.00025312198,0.00012758507,0.006250745,0.000102075166,0.005979473],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979413,0.0008616621,0.00012239898,0.00036319232,0.0005820187,0.00012938306],"domain_scores_gemma":[0.9858855,0.008505423,0.0026767214,0.0012420559,0.0014320088,0.0002582624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004873692,0.00063854543,0.0006148214,0.006829477,0.00021088246,0.0034875183,0.0014637155,0.0007057226,0.007822488],"category_scores_gemma":[0.031847708,0.00023833755,0.0008844273,0.005674316,0.00082406,0.0030371838,0.001189719,0.0012417986,0.0028575135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002284599,0.00024866202,0.5211768,0.00041938055,0.0011071494,0.0008094194,0.00038110415,0.13991842,0.00093173684,0.08689889,0.01905421,0.22882576],"study_design_scores_gemma":[0.000030172407,0.00037713494,0.34263632,0.0002759497,0.00024883027,0.00086591026,0.0005743442,0.5111077,0.0012118309,0.11444224,0.028077535,0.00015215899],"about_ca_topic_score_codex":0.0035667177,"about_ca_topic_score_gemma":0.0019344628,"teacher_disagreement_score":0.007822488,"about_ca_system_score_codex":0.0008897344,"about_ca_system_score_gemma":0.00034880522,"threshold_uncertainty_score":0.026168823},"labels":[],"label_agreement":null},{"id":"W3157487841","doi":"10.3390/jrfm14050205","title":"The Effect of Industry Restructuring on Peer Firms","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Restructuring; Bond; Order (exchange); Equity (law); Business; Corporate bond; Risk premium; Economics; Monetary economics; Microeconomics; Financial economics; Finance","score_opus":0.009933182729179828,"score_gpt":0.203396576757257,"score_spread":0.19346339402807716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157487841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975681,0.00007775552,0.00014012113,0.00012759185,0.0000024975766,0.000005824538,0.000021219847,0.0000059214935,0.0020508263],"genre_scores_gemma":[0.99940443,0.00003305717,0.000024129093,0.000014708128,0.000009382586,0.0000011898874,0.000020186026,7.250435e-7,0.0004921253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994728,0.00014734386,0.000025432466,0.00010190756,0.000120826444,0.00013172734],"domain_scores_gemma":[0.9909496,0.0027361643,0.0043270756,0.00045670304,0.0005526075,0.0009778315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007023796,0.00014063115,0.0002854779,0.00036527004,0.000261515,0.0010698375,0.00028078086,0.0007965994,0.0046747243],"category_scores_gemma":[0.008542376,0.000083971216,0.00018896548,0.00029044953,0.00036696665,0.00097246334,0.0008204116,0.000631371,0.0004062072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009460653,0.0008869392,0.91777474,0.000044804237,0.00022905177,0.0015516734,0.0010985434,0.00572029,0.018624641,0.0060200836,0.0009974093,0.04610575],"study_design_scores_gemma":[0.000023410807,0.00070190436,0.98653096,0.000005676556,0.000074740165,0.00026560787,0.0010136077,0.0063494868,0.0024248296,0.0014452521,0.0011458198,0.000018704852],"about_ca_topic_score_codex":0.0021274055,"about_ca_topic_score_gemma":0.0020216366,"teacher_disagreement_score":0.0046747243,"about_ca_system_score_codex":0.00034016755,"about_ca_system_score_gemma":0.00014621767,"threshold_uncertainty_score":0.01563853},"labels":[],"label_agreement":null},{"id":"W3157944224","doi":"10.3390/jrfm14050206","title":"Gamesmanship and Seasonality in U.S. Stock Returns","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Seasonality; Stock (firearms); Arbitrage; Scrutiny; Incentive; Business; Institutional investor; Proxy (statistics); Financial economics; Economics; Monetary economics; Finance; Geography; Corporate governance; Market economy; Political science; Ecology","score_opus":0.02129408626687822,"score_gpt":0.21089526663915617,"score_spread":0.18960118037227794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157944224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99758816,0.00011297276,0.00015511492,0.00018483173,0.000010472009,0.0000031748812,0.00027041815,0.000009060297,0.0016658345],"genre_scores_gemma":[0.999316,0.000027981569,0.00005660864,0.00001928414,0.000009778359,0.0000013941756,0.0002244007,0.0000033903468,0.00034112236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997036,0.000050670522,0.000029153463,0.000069720365,0.000060795177,0.00008607386],"domain_scores_gemma":[0.9943942,0.0010008822,0.002920807,0.00037220653,0.00066497264,0.0006468109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009161282,0.0001584338,0.00015892797,0.0010051731,0.00022218151,0.0007951993,0.00016870117,0.0002010427,0.0021904693],"category_scores_gemma":[0.006136937,0.00007268405,0.00027199535,0.0012288761,0.00026515193,0.00051151944,0.0004246785,0.00045319952,0.00029260048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008750722,0.000045445842,0.9867523,0.000009060789,0.00006456348,0.000105923835,0.00033001517,0.00039972953,0.0003469077,0.00076130725,0.0009485557,0.010148586],"study_design_scores_gemma":[0.0000016557461,0.000021153366,0.9980122,0.0000039322904,0.000008668724,0.00002430819,0.00015052913,0.0008097288,0.00011174134,0.0001953081,0.00065730995,0.000003521727],"about_ca_topic_score_codex":0.021430539,"about_ca_topic_score_gemma":0.036964,"teacher_disagreement_score":0.021430539,"about_ca_system_score_codex":0.0004458886,"about_ca_system_score_gemma":0.00034341047,"threshold_uncertainty_score":0.0426116},"labels":[],"label_agreement":null},{"id":"W3158286502","doi":"10.1093/rapstu/raab011","title":"Strategic Trading When Central Bank Intervention Is Predictable","year":2021,"lang":"en","type":"article","venue":"The Review of Asset Pricing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Intervention (counseling); Central bank; Economics; Monetary economics; Psychological intervention; Financial economics; Monetary policy; Psychology","score_opus":0.08179635839146618,"score_gpt":0.28871228135897686,"score_spread":0.20691592296751068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158286502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86326396,0.0016308348,0.104024865,0.0056163925,0.00023803311,0.00006911797,0.000235862,0.0003461443,0.024574785],"genre_scores_gemma":[0.9983608,0.00014659761,0.00040768573,0.000091372494,0.0000289935,0.000006978616,0.000009676106,0.0000039588144,0.0009439204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991818,0.0003573385,0.000040575622,0.00015485416,0.000093001625,0.00017229801],"domain_scores_gemma":[0.991674,0.0045386446,0.002720609,0.00036112606,0.00033283312,0.00037276646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020391645,0.0004155972,0.0007975974,0.00028804017,0.000244632,0.0022287355,0.0008111228,0.0021630637,0.0044412264],"category_scores_gemma":[0.012250139,0.00041519842,0.00042192606,0.0002697213,0.0014004062,0.0018401046,0.0007125485,0.0015471604,0.00039533936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017044817,0.00064392877,0.0376816,0.00066549133,0.00068306335,0.0036927853,0.00068297633,0.38960996,0.01476852,0.4842082,0.011195255,0.05446368],"study_design_scores_gemma":[0.00041771826,0.00040044775,0.013409103,0.00006495964,0.00016506945,0.0005413735,0.00026147548,0.60668474,0.0018105669,0.37402916,0.0021376878,0.00007774563],"about_ca_topic_score_codex":0.0013387844,"about_ca_topic_score_gemma":0.00078216393,"teacher_disagreement_score":0.0044412264,"about_ca_system_score_codex":0.00079785514,"about_ca_system_score_gemma":0.00052014034,"threshold_uncertainty_score":0.014857411},"labels":[],"label_agreement":null},{"id":"W3158370192","doi":"","title":"Whose Attention Matters? Evidence From Return Predictability Between Economic Linked Firms","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Predictability; Institutional investor; Context (archaeology); Business; Monetary economics; Contrast (vision); Asset (computer security); Market efficiency; Economics; Finance; Financial economics; Corporate governance","score_opus":0.02692641241364926,"score_gpt":0.23014957266909727,"score_spread":0.203223160255448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158370192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963278,0.00042242944,0.00022958615,0.0005503666,0.0000094343395,0.000005200383,0.00009620641,0.0000061003307,0.0023529066],"genre_scores_gemma":[0.9994748,0.00009882497,0.000025066558,0.000060981398,0.000029305442,0.0000022133006,0.00009156112,0.000002398566,0.00021484088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976884,0.00057690276,0.00026296615,0.0004907076,0.00053232344,0.00044873476],"domain_scores_gemma":[0.852835,0.07426704,0.057898246,0.0053975126,0.0032467085,0.0063555855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029038303,0.00024474307,0.0005852325,0.0015641073,0.00054805045,0.0025691239,0.000955355,0.0015092151,0.0053810934],"category_scores_gemma":[0.044975467,0.00023559945,0.00050672627,0.002243441,0.0012903829,0.003100046,0.0027105361,0.0014815009,0.0006997175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025033255,0.00013360342,0.9909854,0.000021359774,0.00013140847,0.00032933347,0.0005192292,0.0003584737,0.00014592081,0.0005339758,0.00027631575,0.0063146153],"study_design_scores_gemma":[0.000013688751,0.00009623073,0.9963403,0.000014143699,0.0000768211,0.000097468655,0.0008098782,0.00080767996,0.00015585923,0.0012017679,0.00037497238,0.000011274814],"about_ca_topic_score_codex":0.006946946,"about_ca_topic_score_gemma":0.0047889724,"teacher_disagreement_score":0.006946946,"about_ca_system_score_codex":0.00062684115,"about_ca_system_score_gemma":0.00039491372,"threshold_uncertainty_score":0.018001616},"labels":[],"label_agreement":null},{"id":"W3158562718","doi":"","title":"Heterogeneous Investment Horizons, Risk Regimes and Realized Jumps","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Jump; Downside risk; Economics; Bond; Treasury; Tail risk; Econometrics; Jump diffusion; Financial market; Risk premium; Monetary economics; Financial economics; Portfolio; Finance; Geography","score_opus":0.04867320643281089,"score_gpt":0.2888190922964544,"score_spread":0.24014588586364352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158562718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9449633,0.00033972552,0.05202992,0.0001822152,0.000010256143,0.00001610698,0.00017561273,0.000059263675,0.0022236581],"genre_scores_gemma":[0.99836046,0.000056635366,0.0012708267,0.0000074377476,0.000011982236,0.0000055704613,0.00006389316,0.0000034068441,0.0002197301],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999559,0.000105238796,0.000036456473,0.00010598321,0.00010725705,0.000086080945],"domain_scores_gemma":[0.99107504,0.005126404,0.0026123663,0.0006556414,0.00015919587,0.00037140754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001699883,0.00024065044,0.0004220576,0.0009906272,0.00024583522,0.0012412712,0.000581862,0.00067705935,0.0020679524],"category_scores_gemma":[0.013997078,0.0002542737,0.00042241023,0.0006407037,0.00068134675,0.0017522125,0.0008456091,0.0011440837,0.00011012915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005707136,0.00037230237,0.5368264,0.00017508585,0.0005170839,0.0011934281,0.0013376554,0.13848037,0.01612547,0.21005452,0.0010781277,0.093268804],"study_design_scores_gemma":[0.000034197245,0.00011930778,0.34257266,0.000045726425,0.00007049504,0.00042481974,0.00025888198,0.4746569,0.0020940613,0.17886545,0.00079294486,0.000064492524],"about_ca_topic_score_codex":0.0011217251,"about_ca_topic_score_gemma":0.00095641916,"teacher_disagreement_score":0.0020679524,"about_ca_system_score_codex":0.00041938273,"about_ca_system_score_gemma":0.00019941496,"threshold_uncertainty_score":0.00898993},"labels":[],"label_agreement":null},{"id":"W3158689776","doi":"10.2139/ssrn.3093065","title":"Web Appendix to 'Beyond Risk-Based Portfolios: Balancing Performance and Risk Contributions in Asset Allocation'","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Asset allocation; Computer science; Risk management; Asset (computer security); Actuarial science; Business; Risk analysis (engineering); Economics; Financial economics; Finance; Portfolio; Computer security","score_opus":0.008296019174215108,"score_gpt":0.22072636694147302,"score_spread":0.21243034776725792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158689776","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000803511,0.00045848175,0.010780648,0.0057844357,0.004108789,0.0007503208,0.772843,0.0054082456,0.1990626],"genre_scores_gemma":[0.013500026,0.0016045601,0.028318623,0.0063717198,0.0022886565,0.0022183522,0.4776831,0.0050262217,0.46298873],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879754,0.00018107318,0.00014760732,0.000110886336,0.0006337995,0.00012904756],"domain_scores_gemma":[0.97030514,0.01589202,0.00086018833,0.0015840172,0.010548207,0.0008103924],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018103826,0.0008702778,0.0010261348,0.0027584683,0.0006853767,0.002001234,0.0026837832,0.0022656496,0.8894431],"category_scores_gemma":[0.032202993,0.00075140345,0.0008745531,0.0039806194,0.00036504725,0.0021928865,0.0018633424,0.0015592886,0.65083677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017459193,0.000037001922,0.000117100804,0.00012926104,0.0000027021028,0.000013025043,0.00000870096,0.000108045206,0.000027083372,0.0007953632,0.9902513,0.00849297],"study_design_scores_gemma":[0.00025087997,0.000042413347,0.0037685276,0.00038898076,0.00001127952,0.00012179918,0.00007047146,0.00093091466,0.00037071557,0.011180899,0.98282295,0.00004025638],"about_ca_topic_score_codex":0.016579349,"about_ca_topic_score_gemma":0.028268345,"teacher_disagreement_score":0.8894431,"about_ca_system_score_codex":0.0017577108,"about_ca_system_score_gemma":0.0030893555,"threshold_uncertainty_score":0.15769601},"labels":[],"label_agreement":null},{"id":"W3159198191","doi":"10.2139/ssrn.3788878","title":"Segmentation of the Chinese Stock Market: A Review","year":2021,"lang":"en","type":"review","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Market segmentation; Extant taxon; Financial economics; Arbitrage; Business; Stock market; Chinese market; Stock (firearms); Stock dilution; Segmentation; Economics; Monetary economics; Market maker; China; Marketing; Computer science","score_opus":0.026335951521967466,"score_gpt":0.27531284808992584,"score_spread":0.24897689656795838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159198191","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005180051,0.9985721,0.000061570885,0.00024528452,0.00006338792,0.0000064426513,0.000044235443,0.0000030788492,0.00048595387],"genre_scores_gemma":[0.0028056025,0.99649173,0.000098048484,0.00021184958,0.00017655765,0.000007916093,0.00005559449,0.0000011159855,0.00015144568],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997148,0.000041973366,0.00005518369,0.00006440832,0.00009141103,0.000032171236],"domain_scores_gemma":[0.99917907,0.0003456912,0.00019796746,0.000018941535,0.00018532893,0.00007304197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012509873,0.0008797835,0.0016327921,0.004354974,0.0003174292,0.0015785784,0.0011649161,0.0010567936,0.0037154055],"category_scores_gemma":[0.0018591637,0.00033490063,0.00073287694,0.006141691,0.0006807703,0.001851892,0.00086802605,0.0006368622,0.00057001546],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018052325,0.00009326446,0.002932969,0.041880373,0.00038367556,0.00020278645,0.00013102446,0.00044741353,0.0006669132,0.0042374693,0.027043123,0.9218003],"study_design_scores_gemma":[0.00023200699,0.000668952,0.04917185,0.036040112,0.0039023957,0.0018226032,0.00051487214,0.0010397446,0.001366448,0.008003601,0.8970656,0.00017190565],"about_ca_topic_score_codex":0.006899459,"about_ca_topic_score_gemma":0.009739811,"teacher_disagreement_score":0.006899459,"about_ca_system_score_codex":0.001092817,"about_ca_system_score_gemma":0.004117638,"threshold_uncertainty_score":0.013718545},"labels":[],"label_agreement":null},{"id":"W3159264017","doi":"10.2139/ssrn.3826452","title":"Informed Trading and Co-Illiquidity","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Business; Economics; Monetary economics; Financial economics; Financial system","score_opus":0.02402366824251215,"score_gpt":0.2291203852847272,"score_spread":0.20509671704221505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159264017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8786029,0.006513872,0.078927316,0.006824725,0.00021691444,0.00003968823,0.00040062735,0.0002977329,0.02817622],"genre_scores_gemma":[0.9947937,0.00063651084,0.0010554914,0.00010792235,0.000079456746,0.0000054913903,0.00006224,0.000015040779,0.003244155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992791,0.00021020955,0.000087417706,0.0001463858,0.00013309374,0.00014381451],"domain_scores_gemma":[0.96283185,0.020920599,0.012167573,0.0020060411,0.00088152825,0.0011924546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024951417,0.0004423709,0.0010743017,0.0012305916,0.0005857682,0.00464388,0.0007522337,0.002299921,0.0094235595],"category_scores_gemma":[0.026374204,0.00037977283,0.0006122762,0.0010781705,0.0021266432,0.0059331018,0.0016126903,0.0024413979,0.0005484351],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011473027,0.00035566752,0.06829326,0.00028837714,0.0004313132,0.0047973767,0.00086700055,0.057662364,0.0018680834,0.79535836,0.004862375,0.064068474],"study_design_scores_gemma":[0.00006270383,0.00009610064,0.007376647,0.000040276147,0.00009266451,0.00086413487,0.00020019314,0.068611935,0.0006974997,0.9204509,0.0014538639,0.000053068517],"about_ca_topic_score_codex":0.0012610687,"about_ca_topic_score_gemma":0.0011589846,"teacher_disagreement_score":0.0094235595,"about_ca_system_score_codex":0.00068117405,"about_ca_system_score_gemma":0.00052343606,"threshold_uncertainty_score":0.031524956},"labels":[],"label_agreement":null},{"id":"W3159391478","doi":"","title":"The Demand for Public Information by Local and Nonlocal Investors: Evidence from Investor-Level Data","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Public information; Institutional investor; Business; Order (exchange); Quarter (Canadian coin); Investor behavior; Finance; Financial economics; Economics; Monetary economics; Corporate governance; Public relations","score_opus":0.07236194147578241,"score_gpt":0.23898903170361604,"score_spread":0.16662709022783362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159391478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99609655,0.00013574728,0.00024467014,0.00018135167,0.0000015275652,0.000009197396,0.0013496104,0.000008281095,0.0019730602],"genre_scores_gemma":[0.99806696,0.0001295894,0.000110420726,0.000035238736,0.0000082087645,0.000009198968,0.0011853043,0.0000035616347,0.00045157556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987458,0.00038836413,0.00016435499,0.0002267184,0.0003041336,0.00017066336],"domain_scores_gemma":[0.9169944,0.036711212,0.03878638,0.0039722044,0.0017451142,0.0017907432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022768907,0.00016115687,0.00047449255,0.0009982992,0.00026103648,0.0014713479,0.00043109016,0.00075143774,0.0057536853],"category_scores_gemma":[0.020166254,0.00019604446,0.00028030796,0.0019719463,0.00046484006,0.00160756,0.00093094836,0.00062902883,0.0012521084],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003428987,0.00012418424,0.9894093,0.000058103153,0.00014602924,0.000163463,0.00050332356,0.00069201615,0.00046009867,0.0004173487,0.00059668237,0.0070865965],"study_design_scores_gemma":[0.000040683808,0.0001466794,0.9924118,0.00002197726,0.00008891815,0.000172521,0.0010724993,0.0027700048,0.0010843016,0.0005140346,0.0016503142,0.000026092895],"about_ca_topic_score_codex":0.0067835525,"about_ca_topic_score_gemma":0.01003719,"teacher_disagreement_score":0.0067835525,"about_ca_system_score_codex":0.00047342043,"about_ca_system_score_gemma":0.00022861651,"threshold_uncertainty_score":0.019248009},"labels":[],"label_agreement":null},{"id":"W3159704857","doi":"10.2139/ssrn.2665478","title":"Asset Pricing Tests with Mimicking Portfolios","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital asset pricing model; Business; Actuarial science; Financial economics; Economics; Econometrics","score_opus":0.011341383973687119,"score_gpt":0.19728665895193342,"score_spread":0.1859452749782463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159704857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9215006,0.00026508415,0.07228286,0.00051211315,0.00015800212,0.00012441199,0.00034628896,0.00021193185,0.0045987074],"genre_scores_gemma":[0.9921754,0.000075844095,0.0058068973,0.000059334434,0.00009068524,0.000043338972,0.00035524348,0.000017977805,0.0013753324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.989852,0.006935308,0.0007742516,0.0010529616,0.00079828483,0.00058726734],"domain_scores_gemma":[0.67358536,0.2952011,0.0109535465,0.015129332,0.002932891,0.0021977834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02479061,0.0016042901,0.0018104169,0.0015735136,0.00054181117,0.003031607,0.0034462383,0.004009863,0.009221809],"category_scores_gemma":[0.20980567,0.00083537557,0.0022109991,0.0012588409,0.0018337789,0.0061446317,0.0024185115,0.001966449,0.000837973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011391839,0.0024018793,0.070738316,0.00057715614,0.00194985,0.0029486113,0.00074076274,0.5268232,0.0036741581,0.29032755,0.004834544,0.08359209],"study_design_scores_gemma":[0.0009241728,0.0013808316,0.0076809064,0.00003334375,0.00027682236,0.00060053944,0.00011967488,0.8836182,0.0018450329,0.10281294,0.0006348098,0.00007275809],"about_ca_topic_score_codex":0.00074677943,"about_ca_topic_score_gemma":0.00035522928,"teacher_disagreement_score":0.02479061,"about_ca_system_score_codex":0.0008126833,"about_ca_system_score_gemma":0.00078151317,"threshold_uncertainty_score":0.13110685},"labels":[],"label_agreement":null},{"id":"W3160117046","doi":"10.2139/ssrn.3691730","title":"Alpha and Beta Information","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"BETA (programming language); Alpha (finance); Computer science; Mathematics; Programming language; Statistics","score_opus":0.014915502346063793,"score_gpt":0.1846549680639255,"score_spread":0.16973946571786172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160117046","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061306905,0.006124696,0.18725714,0.0073098894,0.0069068726,0.00019167193,0.026808124,0.0040944503,0.7000002],"genre_scores_gemma":[0.62752193,0.0060518435,0.03797429,0.0020466475,0.008933772,0.0003020611,0.015092134,0.0010842134,0.30099306],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985862,0.0002203088,0.000104123494,0.00030237823,0.00062394724,0.00016313202],"domain_scores_gemma":[0.99002016,0.004030089,0.0009691289,0.0025574965,0.0019399619,0.00048309163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019738579,0.0012510832,0.000791216,0.004416728,0.000666789,0.0041830763,0.00064531766,0.0018893551,0.09054463],"category_scores_gemma":[0.02241193,0.0005582165,0.00056423596,0.0035131974,0.00060593017,0.0046072514,0.00090876286,0.0016171719,0.04725012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008254487,0.00023271529,0.012888662,0.00040997108,0.00014134629,0.0005981758,0.00032945257,0.0072784903,0.007817271,0.23555472,0.17317234,0.56075144],"study_design_scores_gemma":[0.00013467623,0.00040234358,0.033896007,0.00043775083,0.00030418547,0.0039010893,0.0003535191,0.042598043,0.022557385,0.5199893,0.37517324,0.0002524286],"about_ca_topic_score_codex":0.00044358408,"about_ca_topic_score_gemma":0.00031887417,"teacher_disagreement_score":0.09054463,"about_ca_system_score_codex":0.00056102645,"about_ca_system_score_gemma":0.0006414072,"threshold_uncertainty_score":0.30290198},"labels":[],"label_agreement":null},{"id":"W3160645629","doi":"10.2139/ssrn.3190982","title":"&lt;span&gt;Thinking Fast and Slow, Speculative Trading, and Skewness&lt;/span&gt;","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Business; Economics; Monetary economics; Computer science","score_opus":0.013664708484817907,"score_gpt":0.2059333794176663,"score_spread":0.19226867093284838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160645629","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053340673,0.038981292,0.034748234,0.43834436,0.0101077575,0.000114548726,0.004866186,0.0009337108,0.4185633],"genre_scores_gemma":[0.6744088,0.032330036,0.017182503,0.019056462,0.012275221,0.00020563389,0.0011097217,0.00090806617,0.24252354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99971503,0.00008785995,0.000022903228,0.00006476503,0.000075715965,0.00003377954],"domain_scores_gemma":[0.99712664,0.0015436795,0.00039044587,0.00014557638,0.00054408895,0.000249626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012791376,0.00073983165,0.0007397513,0.001470301,0.0012707593,0.004735155,0.0005854414,0.002531458,0.06122957],"category_scores_gemma":[0.0074263937,0.0002384337,0.00040054368,0.0018085737,0.001987377,0.0069487127,0.000734751,0.0019926035,0.0065998463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017998139,0.00010019713,0.0039611864,0.00023680387,0.00008390087,0.0003288723,0.00058597786,0.0013508649,0.00068016606,0.4232891,0.40707302,0.1621299],"study_design_scores_gemma":[0.000044718505,0.000035207777,0.0063060597,0.00020750206,0.000044792432,0.00013818953,0.00068913633,0.0052896654,0.00068090926,0.8916864,0.094802424,0.000075063166],"about_ca_topic_score_codex":0.011347701,"about_ca_topic_score_gemma":0.010901577,"teacher_disagreement_score":0.06122957,"about_ca_system_score_codex":0.0019204583,"about_ca_system_score_gemma":0.0008561682,"threshold_uncertainty_score":0.20483333},"labels":[],"label_agreement":null},{"id":"W3161705766","doi":"10.2139/ssrn.3840717","title":"Private Information Dissemination in the Secondary Loan Market: The Effect on Stock Bid-ask Spreads","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Ask price; Business; Bid–ask spread; Stock market; Financial system; Monetary economics; Stock (firearms); Private information retrieval; Loan; Economics; Finance; Stock exchange; Computer science; Computer security; Geography","score_opus":0.006336956277089685,"score_gpt":0.2077991830947,"score_spread":0.2014622268176103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161705766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990666,0.0005597323,0.0017075577,0.0011469381,0.00003104387,0.000025241254,0.0002587691,0.00010328405,0.005501432],"genre_scores_gemma":[0.99850595,0.00013654048,0.00013498538,0.000043565946,0.000041090047,0.000003675938,0.000054400174,0.000014895459,0.0010650028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896,0.00046195224,0.00007349911,0.00014645049,0.0001626648,0.00019544047],"domain_scores_gemma":[0.869816,0.10305744,0.013758215,0.0052981065,0.0031634658,0.0049067517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037678399,0.0002984062,0.000722752,0.000871239,0.0005616324,0.0040525226,0.0006067259,0.0017425697,0.016013602],"category_scores_gemma":[0.06423897,0.0003589446,0.0004923292,0.0008470156,0.0009453456,0.003230632,0.0010522181,0.0021179758,0.0015788632],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.04641104,0.010979762,0.49926895,0.0009297441,0.0012391742,0.003655958,0.002968433,0.10010585,0.06559753,0.054609194,0.015515613,0.19871871],"study_design_scores_gemma":[0.0024973555,0.004606566,0.6705334,0.0001337667,0.0010509632,0.0013568404,0.0017221542,0.21908979,0.019720558,0.07473562,0.004326439,0.00022647058],"about_ca_topic_score_codex":0.0024157153,"about_ca_topic_score_gemma":0.0013175858,"teacher_disagreement_score":0.016013602,"about_ca_system_score_codex":0.00059095287,"about_ca_system_score_gemma":0.00083073863,"threshold_uncertainty_score":0.053570807},"labels":[],"label_agreement":null},{"id":"W3161713250","doi":"","title":"A Shrinking Horizon Optimal Liquidation Framework with Lower Partial Moments Criteria","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Position (finance); Risk measure; Economics; Measure (data warehouse); Trading strategy; Time horizon; Downside risk; Horizon; Mathematical optimization; Computer science; Mathematics; Financial economics; Finance","score_opus":0.011084654103439529,"score_gpt":0.21940329093320332,"score_spread":0.2083186368297638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161713250","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030111628,0.00040291285,0.96077335,0.0005707635,0.000052739895,0.000054732656,0.00013985514,0.00019605288,0.0076979375],"genre_scores_gemma":[0.92878675,0.00047834942,0.060578287,0.00014086494,0.0000714556,0.00014809475,0.0001425662,0.000096875,0.009556781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994911,0.00021064193,0.000022081682,0.00010146847,0.00009879322,0.0000759484],"domain_scores_gemma":[0.99919564,0.00042210062,0.00016324155,0.000043029195,0.0000979445,0.00007817043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013239173,0.0009910554,0.0012265969,0.0004629501,0.00032940507,0.0016299846,0.0014800986,0.0012869041,0.0048516514],"category_scores_gemma":[0.00312225,0.000668588,0.00070390565,0.0004035135,0.0010317723,0.0019589262,0.0008663986,0.0017000635,0.0003329431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005227573,0.000026700161,0.00021021924,0.0000544716,0.0000221131,0.00009506387,0.00004629302,0.91687393,0.001058835,0.0738776,0.0008276233,0.006854773],"study_design_scores_gemma":[0.000008244474,0.000021118172,0.00003595678,0.0000037790142,0.000004419595,0.000007879666,0.0000040631508,0.99020785,0.00009002196,0.009274482,0.00033698263,0.000005243076],"about_ca_topic_score_codex":0.0032093495,"about_ca_topic_score_gemma":0.0014773766,"teacher_disagreement_score":0.0048516514,"about_ca_system_score_codex":0.0011906457,"about_ca_system_score_gemma":0.001243987,"threshold_uncertainty_score":0.016230345},"labels":[],"label_agreement":null},{"id":"W3161950208","doi":"10.2139/ssrn.3139744","title":"Cyclical Earnings and Stock Index Crash Risk","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; Bank of Canada","funders":"","keywords":"Index (typography); Earnings; Crash; Business; Stock (firearms); Actuarial science; Finance; Computer science; Engineering","score_opus":0.011214640079999555,"score_gpt":0.2091725315888511,"score_spread":0.19795789150885154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161950208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963605,0.0005253252,0.00036197543,0.0005287952,0.000019949339,0.0000039899437,0.00035800776,0.000012354747,0.0018289754],"genre_scores_gemma":[0.9991654,0.00014187855,0.000032931253,0.000017178714,0.000029671486,0.0000015404855,0.0001794531,0.0000027144613,0.00042921686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982244,0.00004624659,0.000022415019,0.000028396675,0.00003278311,0.000047765105],"domain_scores_gemma":[0.99059767,0.0038371943,0.0038834054,0.0004839747,0.00042561998,0.0007721078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009350517,0.0001759159,0.00017646409,0.00086646964,0.00019237895,0.001282441,0.00031501017,0.0008334177,0.005137583],"category_scores_gemma":[0.0134288985,0.00015992734,0.00024291188,0.0010097995,0.0003644761,0.0008035581,0.00052198546,0.0009940407,0.0005015294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029095402,0.000078198456,0.98904186,0.000011100952,0.00008247439,0.00021379217,0.000095949916,0.0014270234,0.00020922144,0.0019927737,0.0006219818,0.005934703],"study_design_scores_gemma":[0.000010814048,0.00009174234,0.98595226,0.00001156129,0.000051785457,0.0002147078,0.00024291931,0.008897168,0.000099043325,0.0038570673,0.0005596057,0.000011418493],"about_ca_topic_score_codex":0.0050965436,"about_ca_topic_score_gemma":0.005520124,"teacher_disagreement_score":0.005137583,"about_ca_system_score_codex":0.00032750468,"about_ca_system_score_gemma":0.0002578987,"threshold_uncertainty_score":0.01718694},"labels":[],"label_agreement":null},{"id":"W3162211213","doi":"10.5539/ijef.v13n6p71","title":"The DOL-DFL Nexus: The Relationship between the Degree of Operating Leverage (DOL) and the Degree of Financial Leverage (DFL)","year":2021,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Leverage (statistics); Operating leverage; Degree (music); Economics; Context (archaeology); Econometrics; Finance; Computer science; Mathematics; Geography; Statistics","score_opus":0.10985501753234275,"score_gpt":0.25095562890959083,"score_spread":0.14110061137724808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162211213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6213466,0.0028987646,0.31092906,0.0033160197,0.000112666465,0.00017742917,0.0010535982,0.0002534384,0.059912413],"genre_scores_gemma":[0.99195826,0.00041013068,0.004713931,0.00006507299,0.000035516317,0.00004534772,0.0001045758,0.000018027724,0.0026491561],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99912363,0.00025793977,0.00006237555,0.00022662168,0.00014552848,0.00018384754],"domain_scores_gemma":[0.9960771,0.001827819,0.0012356471,0.00032996468,0.00025204918,0.00027735508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019263393,0.0006839992,0.0005049163,0.0018021385,0.00039414366,0.0029213184,0.0008541494,0.001187712,0.005495979],"category_scores_gemma":[0.00733325,0.00035974933,0.00071808795,0.0016295407,0.0026639944,0.0051492164,0.0025822117,0.0019044064,0.00055994146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016695655,0.00018201044,0.13473044,0.00028357125,0.00019250505,0.0010325438,0.00068387185,0.2826889,0.0040672873,0.53061044,0.0021578183,0.043203726],"study_design_scores_gemma":[0.00004461334,0.0003891243,0.08652526,0.00021447697,0.00008633145,0.0010494321,0.0007533156,0.42085117,0.0018317549,0.47459516,0.013464069,0.00019531387],"about_ca_topic_score_codex":0.002108049,"about_ca_topic_score_gemma":0.0014365695,"teacher_disagreement_score":0.005495979,"about_ca_system_score_codex":0.0012912037,"about_ca_system_score_gemma":0.00063166174,"threshold_uncertainty_score":0.018385828},"labels":[],"label_agreement":null},{"id":"W3162622714","doi":"10.5430/ijfr.v12n4p203","title":"Herding Phenomenon During Various Market Conditions","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Phenomenon; Volatility (finance); Financial economics; Economics; Herd behavior; Market microstructure; Monetary economics; Business; Finance; Order (exchange); Geography","score_opus":0.0723764276654369,"score_gpt":0.33414016269734154,"score_spread":0.26176373503190464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162622714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985166,0.00010306018,0.00031752462,0.000048084243,0.000005639985,0.000008032902,0.00008254987,0.0000060531866,0.000912539],"genre_scores_gemma":[0.9995709,0.00003895847,0.0001413716,0.000009207576,0.0000074456925,0.0000037547459,0.00007432792,0.0000011509574,0.0001530552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996561,0.000050916704,0.000032044605,0.00006981705,0.000100246354,0.00009086636],"domain_scores_gemma":[0.9975491,0.00062593934,0.0012711559,0.00014938353,0.00022941644,0.00017500434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068592164,0.000120621226,0.0003040481,0.0010136381,0.00041851873,0.0006004706,0.00024767738,0.0003229244,0.001481092],"category_scores_gemma":[0.0030827906,0.0000890845,0.00018883617,0.0006391689,0.00036273684,0.0006485213,0.0004982997,0.00028585104,0.00014191183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003841402,0.00008429705,0.9565774,0.000115848554,0.00014437274,0.001586831,0.002354541,0.001250333,0.013721422,0.000984593,0.00073585345,0.022060385],"study_design_scores_gemma":[0.0000042520273,0.00015332502,0.9925519,0.000020585938,0.0000307205,0.0004080084,0.0013922948,0.0030508656,0.0010192387,0.0003508624,0.001003102,0.000014735837],"about_ca_topic_score_codex":0.0024200769,"about_ca_topic_score_gemma":0.0034813576,"teacher_disagreement_score":0.0024200769,"about_ca_system_score_codex":0.0002852097,"about_ca_system_score_gemma":0.00016998226,"threshold_uncertainty_score":0.0049547553},"labels":[],"label_agreement":null},{"id":"W3162639167","doi":"10.2139/ssrn.3763560","title":"Performance Target Difficulty and Fourth-quarter Performance","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; History","score_opus":0.010380625248288344,"score_gpt":0.1820729273922715,"score_spread":0.17169230214398315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162639167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99213564,0.00014257418,0.0002675268,0.00048151382,0.000041509895,0.000012673671,0.000351324,0.00004360738,0.0065236483],"genre_scores_gemma":[0.9965411,0.000026659776,0.00003032497,0.000027427492,0.000028512572,0.0000045673482,0.00046453127,0.000014298175,0.0028625764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998697,0.0002127325,0.00012371968,0.0001405852,0.00029183622,0.0005342879],"domain_scores_gemma":[0.97371024,0.008252563,0.008217191,0.0012069173,0.0027506445,0.005862456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032545663,0.00036952164,0.00052736804,0.001014096,0.00042269015,0.003963326,0.00070839335,0.0018057775,0.0107377255],"category_scores_gemma":[0.028855257,0.00014905179,0.00041187558,0.00078288873,0.00037028827,0.0019818377,0.0018412812,0.0019767992,0.0033825438],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042077596,0.0015113367,0.9483265,0.00005817777,0.00016612833,0.00028312174,0.00070850196,0.007924549,0.002078557,0.0024867116,0.0067888102,0.025459835],"study_design_scores_gemma":[0.000053474098,0.0012430841,0.98513895,0.000022600676,0.000043253007,0.0001182657,0.00095670007,0.007708161,0.0010815383,0.0019033838,0.0016956329,0.000035020206],"about_ca_topic_score_codex":0.0041857446,"about_ca_topic_score_gemma":0.0018350378,"teacher_disagreement_score":0.0107377255,"about_ca_system_score_codex":0.0009869213,"about_ca_system_score_gemma":0.0006246435,"threshold_uncertainty_score":0.035921216},"labels":[],"label_agreement":null},{"id":"W3162876427","doi":"10.3390/jrfm14050230","title":"Do Financial Professionals Process Information Better as a Group Than Non-Professionals?","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Salient; Earnings; Uncorrelated; Finance; Contrast (vision); Diversity (politics); Information processing; Process (computing); Psychology; Business; Computer science; Statistics; Cognitive psychology; Mathematics; Artificial intelligence","score_opus":0.010087061059645715,"score_gpt":0.23039083467964394,"score_spread":0.22030377361999823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162876427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959787,0.00017780009,0.0008250226,0.00035377746,0.000014081834,0.000014366614,0.000030942967,0.000010869132,0.002594325],"genre_scores_gemma":[0.9984794,0.00012831784,0.00062375685,0.0001471107,0.00003120307,0.000010645997,0.000055790184,0.0000047603485,0.0005190632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980261,0.0005794155,0.00014663316,0.00037583994,0.00055259716,0.0003194676],"domain_scores_gemma":[0.96734065,0.0186984,0.006950605,0.0020197467,0.0020997159,0.0028909089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045871767,0.00029937507,0.00059222744,0.0015610162,0.00074199965,0.0029238167,0.0003417489,0.001299209,0.0040852693],"category_scores_gemma":[0.047041908,0.000276239,0.00033872455,0.00069739006,0.00089879445,0.0039173756,0.0011444733,0.00064359757,0.000845332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018008904,0.0009352301,0.8176925,0.00023235314,0.00023970573,0.00034690433,0.018842947,0.0014225525,0.0063430197,0.0029240148,0.0016697539,0.14755],"study_design_scores_gemma":[0.00020740218,0.0023039703,0.9378426,0.0001495721,0.0001812356,0.00092833216,0.020868728,0.009983186,0.0032921757,0.019692276,0.0044047693,0.00014581048],"about_ca_topic_score_codex":0.0021395464,"about_ca_topic_score_gemma":0.0014395837,"teacher_disagreement_score":0.0045871767,"about_ca_system_score_codex":0.0004768603,"about_ca_system_score_gemma":0.0006355994,"threshold_uncertainty_score":0.024259567},"labels":[],"label_agreement":null},{"id":"W3163964971","doi":"10.1142/9789814417358_0024","title":"Characterizations of optimal portfolios by univariate and multivariate risk aversion","year":2013,"lang":"en","type":"book-chapter","venue":"World Scientific handbook in financial economic series","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Univariate; Multivariate statistics; Risk aversion (psychology); Econometrics; Multivariate analysis; Mathematics; Economics; Statistics; Expected utility hypothesis","score_opus":0.013818754698275456,"score_gpt":0.18289750058874857,"score_spread":0.16907874589047311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163964971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08295155,0.0013428901,0.8898249,0.0009962948,0.000040072136,0.00005807366,0.00019559229,0.0001385018,0.024452204],"genre_scores_gemma":[0.8762549,0.0021582001,0.113185845,0.00029629254,0.00016465147,0.0002703599,0.000267098,0.000113149916,0.007289578],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984164,0.00074616604,0.00007116738,0.0002087252,0.00038908038,0.00016838998],"domain_scores_gemma":[0.99586356,0.0025848486,0.00067314407,0.00032943682,0.00031859116,0.00023032901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036040654,0.0008714255,0.000907977,0.0010831532,0.000348698,0.0025693977,0.0011726236,0.00096271647,0.0039845346],"category_scores_gemma":[0.011934973,0.0006143106,0.0010673932,0.0011393885,0.0014460862,0.0044741062,0.0016905335,0.0020270487,0.00045339722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035194033,0.000049236853,0.001320805,0.00005170391,0.00005277932,0.000056320736,0.00012912013,0.081869915,0.0009039752,0.89335006,0.001123179,0.021057695],"study_design_scores_gemma":[0.000012292623,0.000028832084,0.0006561598,0.000024233756,0.0000123111,0.00005286686,0.0000349377,0.21278901,0.00021390652,0.78519034,0.0009641384,0.000020860602],"about_ca_topic_score_codex":0.00075913034,"about_ca_topic_score_gemma":0.0005382464,"teacher_disagreement_score":0.0039845346,"about_ca_system_score_codex":0.0012579263,"about_ca_system_score_gemma":0.0009334338,"threshold_uncertainty_score":0.019060373},"labels":[],"label_agreement":null},{"id":"W3164475127","doi":"10.2139/ssrn.3609365","title":"A Regime-Switching Factor Model for Mean-Variance Optimization","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Factor (programming language); Variance (accounting); Statistics; Econometrics; Mathematics; Economics; Computer science; Accounting","score_opus":0.0212819091350841,"score_gpt":0.21455973260619968,"score_spread":0.19327782347111558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164475127","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027537955,0.0010179806,0.95944697,0.0014044469,0.00021475642,0.00005156022,0.00033934758,0.00031192804,0.009675004],"genre_scores_gemma":[0.89756787,0.0015807175,0.059394393,0.00039509856,0.0003870999,0.00024694097,0.0005041635,0.00019907505,0.039724704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987872,0.000571889,0.000051691863,0.00026842603,0.00013848506,0.00018237092],"domain_scores_gemma":[0.99724543,0.0018929291,0.00026708137,0.00014998777,0.00029286888,0.0001515887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002681668,0.001458629,0.003408377,0.0008308126,0.0007825762,0.002840918,0.0025525922,0.004628345,0.007342274],"category_scores_gemma":[0.00780051,0.0011196279,0.0020656707,0.0013993218,0.0021793551,0.0024960248,0.0018137264,0.0031285344,0.0011438625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011103542,0.00005583569,0.00051264075,0.00010286359,0.00015628309,0.00013728657,0.00009302775,0.82233304,0.0008866106,0.16393471,0.0025062736,0.00917031],"study_design_scores_gemma":[0.000017282739,0.000018104349,0.000094296185,0.00000541094,0.00001812584,0.00001288707,0.0000056010413,0.9717349,0.000045795245,0.02764914,0.00038391823,0.000014471342],"about_ca_topic_score_codex":0.011266169,"about_ca_topic_score_gemma":0.006175816,"teacher_disagreement_score":0.011266169,"about_ca_system_score_codex":0.0014747664,"about_ca_system_score_gemma":0.0016199882,"threshold_uncertainty_score":0.024562359},"labels":[],"label_agreement":null},{"id":"W3164807238","doi":"","title":"Flight-to-Quality, Economic Fundamentals, and Stock Returns","year":2017,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Economics; Capital asset pricing model; Stock (firearms); Business cycle; Econometrics; Financial economics; Risk premium; Macroeconomics; Engineering","score_opus":0.08456632931600344,"score_gpt":0.29532528097238187,"score_spread":0.21075895165637842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164807238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990735,0.00006690582,0.00012188982,0.000056030214,0.0000024950011,0.0000016589935,0.00012201752,0.000004539887,0.00055099773],"genre_scores_gemma":[0.9994862,0.000038005484,0.00006827703,0.000013271296,0.0000054295188,8.345118e-7,0.00021502782,0.0000010535192,0.00017175538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998367,0.000038407983,0.000018533112,0.000031329986,0.00003507454,0.0000400416],"domain_scores_gemma":[0.9911766,0.0028800843,0.004144228,0.0004109754,0.00033145916,0.0010566621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009311572,0.00021435179,0.00018788967,0.00078810286,0.00017222422,0.001042756,0.0001977842,0.00046037458,0.0028209088],"category_scores_gemma":[0.008055645,0.00010333342,0.00022919706,0.0006489806,0.00042199326,0.00067336246,0.00048716122,0.0005488793,0.00039185662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006647761,0.000070395516,0.99528235,0.0000053642793,0.000038109552,0.000029420735,0.00004865091,0.00064942,0.00022061933,0.00038321994,0.00011994706,0.003086047],"study_design_scores_gemma":[0.0000044161993,0.00005883843,0.9966646,0.000004538725,0.00001167062,0.000042994845,0.000060431612,0.002093904,0.00010076013,0.0007840127,0.0001692322,0.0000045994184],"about_ca_topic_score_codex":0.00588826,"about_ca_topic_score_gemma":0.0060567698,"teacher_disagreement_score":0.00588826,"about_ca_system_score_codex":0.0003493888,"about_ca_system_score_gemma":0.00022675475,"threshold_uncertainty_score":0.011707962},"labels":[],"label_agreement":null},{"id":"W3164908957","doi":"","title":"Distress Risk Puzzle and Analyst Forecast Optimism","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Optimism; Earnings; Distress; Financial distress; Actuarial science; Business; Quarter (Canadian coin); Economics; Financial economics; Finance; Psychology; Financial system; Social psychology","score_opus":0.017512224091843644,"score_gpt":0.1923885159585728,"score_spread":0.17487629186672915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164908957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98082477,0.0015133447,0.0042684604,0.0027811783,0.0000358487,0.000008478502,0.00015081889,0.000068258734,0.010348731],"genre_scores_gemma":[0.9991917,0.00015688743,0.00025346136,0.000082111575,0.00003569369,0.0000013242401,0.00003788415,0.0000035574897,0.00023734134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999424,0.00015894031,0.000055735592,0.000095457755,0.00019870684,0.00006721117],"domain_scores_gemma":[0.97836417,0.010279945,0.008704514,0.0012422594,0.00084521214,0.00056381826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002094791,0.00020694334,0.00037335703,0.00080972235,0.0002525833,0.0019238245,0.00029740305,0.00084435556,0.0024168969],"category_scores_gemma":[0.031035291,0.00019946593,0.00016229013,0.00072684104,0.0006282275,0.0021333678,0.00083333114,0.0010615835,0.0002298663],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025612456,0.00021442221,0.72204447,0.00021780845,0.00030351127,0.0012220569,0.0053523546,0.03959372,0.010537828,0.056730963,0.006390757,0.15483089],"study_design_scores_gemma":[0.00012725436,0.00027211566,0.79745936,0.000082280385,0.000112133246,0.0011757455,0.0019720362,0.050690684,0.002356431,0.13994451,0.0056849727,0.00012252167],"about_ca_topic_score_codex":0.0013378463,"about_ca_topic_score_gemma":0.0010505109,"teacher_disagreement_score":0.0024168969,"about_ca_system_score_codex":0.0005427258,"about_ca_system_score_gemma":0.00028629342,"threshold_uncertainty_score":0.011078417},"labels":[],"label_agreement":null},{"id":"W3164975238","doi":"10.1287/mnsc.2020.3780","title":"Global Equity Correlation in International Markets","year":2021,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stylized fact; Equity (law); Economics; Financial economics; Capital asset pricing model; Currency; Econometrics; Foreign exchange risk; Monetary economics; Macroeconomics","score_opus":0.031405771671595216,"score_gpt":0.26076771941891874,"score_spread":0.22936194774732352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164975238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9486328,0.0021965655,0.022197546,0.0009710329,0.00006514021,0.000024149618,0.00023803765,0.00019940564,0.025475467],"genre_scores_gemma":[0.9983254,0.00029219597,0.0005325673,0.000043279477,0.00003998832,0.0000032627263,0.0000747346,0.000013678105,0.00067495677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995809,0.00012937855,0.000018912378,0.00011766555,0.00008904991,0.00006402877],"domain_scores_gemma":[0.9933395,0.0030328208,0.0021323892,0.0006972677,0.00047957373,0.00031844745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016430778,0.00040572713,0.0004871078,0.0011501181,0.0003341279,0.0018875656,0.0002824735,0.0006971197,0.0047819796],"category_scores_gemma":[0.010698187,0.00019274783,0.00050422276,0.0017625123,0.0012283379,0.002843763,0.0009280201,0.0009877806,0.00036766595],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017380374,0.00020489635,0.4163723,0.00017934959,0.00037923254,0.0011106086,0.0008340391,0.07096511,0.0017205044,0.38432637,0.011277707,0.112456016],"study_design_scores_gemma":[0.00007336171,0.00017728504,0.4582125,0.00018397898,0.00030028517,0.0012090096,0.0005085901,0.1830714,0.0020512666,0.33842793,0.015655687,0.00012875652],"about_ca_topic_score_codex":0.002389336,"about_ca_topic_score_gemma":0.0016142481,"teacher_disagreement_score":0.0047819796,"about_ca_system_score_codex":0.00068702566,"about_ca_system_score_gemma":0.00034041,"threshold_uncertainty_score":0.01599735},"labels":[],"label_agreement":null},{"id":"W3165275918","doi":"10.2139/ssrn.3830914","title":"Pre-Opening Price Indications and Market Quality","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Business; Quality (philosophy); Economics; Monetary economics; Industrial organization; Physics","score_opus":0.015144279120117852,"score_gpt":0.2340208078814872,"score_spread":0.21887652876136934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165275918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907985,0.0004839168,0.0016583763,0.00056722254,0.000045809917,0.00002333689,0.0005267809,0.00008529168,0.005810741],"genre_scores_gemma":[0.99802846,0.00011063866,0.000199893,0.00003114689,0.00007393454,0.0000024954713,0.00037953764,0.000024021487,0.0011498573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936193,0.00007824774,0.00009182455,0.00010762297,0.00019494248,0.00016539916],"domain_scores_gemma":[0.9237393,0.04019915,0.024566242,0.0025376761,0.003508157,0.005449373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030190842,0.00026869847,0.00061739865,0.0014436514,0.0003495044,0.005525142,0.00073681853,0.0018049524,0.013508097],"category_scores_gemma":[0.047085695,0.00039414366,0.00046250303,0.0012422482,0.0008375767,0.004213717,0.0009631439,0.003307186,0.001208182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005054517,0.001063592,0.9261228,0.0001805526,0.0002367252,0.00095280324,0.000553498,0.0055290493,0.00896527,0.010888046,0.0018876538,0.038565636],"study_design_scores_gemma":[0.00013379724,0.0006267869,0.97867364,0.00002762171,0.00009496363,0.00031686862,0.0003476515,0.007953865,0.0019346012,0.00879623,0.0010418879,0.0000521383],"about_ca_topic_score_codex":0.0017444121,"about_ca_topic_score_gemma":0.0017062309,"teacher_disagreement_score":0.013508097,"about_ca_system_score_codex":0.00058352813,"about_ca_system_score_gemma":0.00030976973,"threshold_uncertainty_score":0.045189142},"labels":[],"label_agreement":null},{"id":"W3165613102","doi":"","title":"Evidence on the Performance of Infrastructure Mutual Fund","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Mutual fund; Equity (law); Business; Finance; Global assets under management; Fund of funds; Passive management; Private equity fund; Institutional investor; Private equity; Corporate governance","score_opus":0.04411890633389695,"score_gpt":0.21546466767583702,"score_spread":0.17134576134194007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165613102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874822,0.00057599996,0.00023950556,0.0005333466,0.000008810753,0.0000063422694,0.00014510492,0.00001329826,0.010995345],"genre_scores_gemma":[0.99910283,0.00019491535,0.00006757811,0.000037312595,0.00002013712,0.0000023030968,0.00011408065,0.0000024285455,0.00045847023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99720687,0.0006096186,0.00021928851,0.00025881708,0.0011539751,0.0005514059],"domain_scores_gemma":[0.95525736,0.00880708,0.025768688,0.001894489,0.0056412797,0.0026310766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034544936,0.00026095533,0.00026440492,0.0016284806,0.00045560807,0.0017084879,0.0004626501,0.0006933923,0.0027700264],"category_scores_gemma":[0.030554695,0.0001284975,0.00017817463,0.0015461876,0.0010608627,0.0021986952,0.0020181101,0.0005957343,0.0006981099],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004987383,0.00016715392,0.9491304,0.00015478226,0.00019333065,0.00028940613,0.0017941296,0.00084744516,0.0018314935,0.007898655,0.0023058585,0.034888495],"study_design_scores_gemma":[0.00001897531,0.00029431144,0.9899003,0.00005637194,0.00006165357,0.00024406581,0.0012424036,0.0004722306,0.0021765004,0.001177238,0.004337686,0.000018468765],"about_ca_topic_score_codex":0.0034353684,"about_ca_topic_score_gemma":0.0038671512,"teacher_disagreement_score":0.0034544936,"about_ca_system_score_codex":0.0011361917,"about_ca_system_score_gemma":0.00062094437,"threshold_uncertainty_score":0.0182693},"labels":[],"label_agreement":null},{"id":"W3166868535","doi":"10.5539/ijef.v13n6p143","title":"Factor Investment: Evaluating Persistence Effect for Investment Performance and Sustainability Exposure","year":2021,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predictability; Persistence (discontinuity); Economics; Investment (military); Predictive power; Econometrics; Sustainability; Investment strategy; Microeconomics; Mathematics; Statistics; Engineering","score_opus":0.03929246088627843,"score_gpt":0.2549613756950113,"score_spread":0.2156689148087329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166868535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946213,0.00015875367,0.004044882,0.000053114385,0.000007708764,0.000014502674,0.00014170092,0.000026920658,0.0009310955],"genre_scores_gemma":[0.9989956,0.000040880543,0.00045374682,0.0000047727403,0.0000114880895,0.000006114536,0.00017161098,0.0000050163776,0.00031080694],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984242,0.00046867834,0.00012469557,0.00033767664,0.0003911893,0.0002535402],"domain_scores_gemma":[0.97436,0.018700557,0.003278904,0.0019523868,0.0007399303,0.0009683487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038359931,0.0006447979,0.00051034085,0.0016224625,0.00021324672,0.0012992858,0.000431211,0.000779245,0.0030878624],"category_scores_gemma":[0.014856284,0.00010415322,0.001257806,0.0015544774,0.00057549006,0.0014197755,0.0008253142,0.0008200137,0.00032598205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058730046,0.00016646924,0.9669001,0.000036209123,0.0005492152,0.0002003148,0.00011878382,0.00794036,0.0016284941,0.0009100027,0.00015012702,0.020812543],"study_design_scores_gemma":[0.000023845787,0.0018916156,0.9348585,0.00002121392,0.00047477608,0.000301244,0.00040284288,0.055774823,0.0024671366,0.00317138,0.0005670797,0.000045557794],"about_ca_topic_score_codex":0.0013257747,"about_ca_topic_score_gemma":0.00076611683,"teacher_disagreement_score":0.0038359931,"about_ca_system_score_codex":0.0004793331,"about_ca_system_score_gemma":0.0004819411,"threshold_uncertainty_score":0.020286918},"labels":[],"label_agreement":null},{"id":"W3167393084","doi":"10.17811/ebl.10.2.2021.126-132","title":"On the hedging benefits of REITs: The role of risk aversion and market states","year":2021,"lang":"en","type":"article","venue":"Economics and Business Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Risk aversion (psychology); Stock (firearms); Economics; Financial economics; Stock market; Econometrics; Actuarial science; Business; Expected utility hypothesis; Real estate; Finance","score_opus":0.008846025664560886,"score_gpt":0.15510012364161513,"score_spread":0.14625409797705424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167393084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82090175,0.00084798824,0.1633478,0.0008391895,0.000041192503,0.000045204586,0.00004356384,0.000084698884,0.013848661],"genre_scores_gemma":[0.99542516,0.00019203006,0.0033488579,0.000032286156,0.000014065206,0.00000481052,0.000007155115,0.00000400459,0.0009715234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998116,0.00005750662,0.000013227669,0.000035857058,0.000041750183,0.00004012825],"domain_scores_gemma":[0.9981053,0.00083213946,0.00058598205,0.00017944675,0.00017731589,0.000119839446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012173553,0.0005829392,0.00044374372,0.00034590848,0.0002357844,0.0016161043,0.00060684734,0.0005502551,0.0020295852],"category_scores_gemma":[0.0037133235,0.0001840306,0.00035070314,0.0003284427,0.00061757106,0.0019013635,0.00076159067,0.0008901911,0.00016347095],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090051757,0.00062035123,0.03892796,0.00022290055,0.00023932343,0.0008089184,0.00047549163,0.5070606,0.037062638,0.23480746,0.00092951074,0.17794429],"study_design_scores_gemma":[0.0000532574,0.00090810185,0.01690959,0.000051876745,0.00017161755,0.00022653518,0.0003309796,0.8595306,0.007985114,0.11204836,0.001695765,0.000088149936],"about_ca_topic_score_codex":0.0010287993,"about_ca_topic_score_gemma":0.00096645317,"teacher_disagreement_score":0.0020295852,"about_ca_system_score_codex":0.00042618104,"about_ca_system_score_gemma":0.00036242057,"threshold_uncertainty_score":0.0067896843},"labels":[],"label_agreement":null},{"id":"W3168328013","doi":"","title":"Investor Sentiment and Portfolio Selection","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Northern British Columbia","funders":"","keywords":"Portfolio; Economics; Volatility (finance); Efficient frontier; Market sentiment; Econometrics; Financial economics; Selection (genetic algorithm); Asset (computer security); Capital asset pricing model; Capital market line; Portfolio optimization; Variance (accounting); Stock market; Computer science; Market depth","score_opus":0.025013638311710884,"score_gpt":0.2132737897702626,"score_spread":0.1882601514585517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168328013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6519791,0.0033460811,0.23239489,0.006438724,0.00012590807,0.000105922045,0.00029935694,0.000094645504,0.1052153],"genre_scores_gemma":[0.99434584,0.00048522622,0.002911992,0.00012197323,0.000048224487,0.000017337321,0.00002838277,0.000004076218,0.0020369333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997342,0.000100679215,0.000012418532,0.0000441109,0.000052455878,0.000056145494],"domain_scores_gemma":[0.9989477,0.0004809773,0.00033807723,0.00005782479,0.00010194002,0.000073564675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001030836,0.0002809777,0.00034138796,0.00032067622,0.000202428,0.0012059595,0.00028244255,0.00077340624,0.0037670026],"category_scores_gemma":[0.005572366,0.00015608649,0.00021133173,0.00030246345,0.00050210836,0.0009877397,0.0005033605,0.0005629741,0.00038701814],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013093068,0.00009854847,0.040678766,0.000100936195,0.000117809934,0.00048276602,0.000286498,0.056930955,0.0052690674,0.82505655,0.0024227644,0.06842441],"study_design_scores_gemma":[0.000062464926,0.00025409015,0.03621551,0.0000757799,0.000060202237,0.00033202398,0.0001938277,0.15575093,0.0015990237,0.7980783,0.0073421896,0.000035636614],"about_ca_topic_score_codex":0.00048253156,"about_ca_topic_score_gemma":0.00032674868,"teacher_disagreement_score":0.0037670026,"about_ca_system_score_codex":0.00059762463,"about_ca_system_score_gemma":0.0003150429,"threshold_uncertainty_score":0.012601912},"labels":[],"label_agreement":null},{"id":"W3168477443","doi":"10.3390/jrfm14060250","title":"The Odds of Profitable Market Timing","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Odds; Portfolio; Earnings; Econometrics; Sharpe ratio; Economics; Set (abstract data type); Actuarial science; Cash; Market portfolio; Financial economics; Computer science; Finance; Logistic regression; Machine learning","score_opus":0.016168097375984354,"score_gpt":0.1990125750721437,"score_spread":0.18284447769615936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168477443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93849224,0.001736319,0.0362952,0.0042736013,0.00040517905,0.00008483956,0.0016726673,0.00017623395,0.016863564],"genre_scores_gemma":[0.99619555,0.00018779706,0.001917609,0.00016946386,0.00034945394,0.00002596967,0.00040694218,0.000033027485,0.00071425416],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98100466,0.0073162797,0.001324605,0.004365364,0.0047591846,0.0012298686],"domain_scores_gemma":[0.6410797,0.29629436,0.033754427,0.020953434,0.004864465,0.0030535832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020460382,0.00033950128,0.0009537748,0.0017700528,0.0008173866,0.0034102807,0.0010056692,0.0009257804,0.009462346],"category_scores_gemma":[0.19271114,0.00029384813,0.0010136092,0.0021183486,0.0034028455,0.0043067858,0.0023964094,0.0034736095,0.0007380768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022676259,0.0001878685,0.79812604,0.00019129581,0.0006340326,0.0008999826,0.0011338103,0.0050093317,0.0015156713,0.06018825,0.0057732468,0.12407276],"study_design_scores_gemma":[0.00017713448,0.0018751438,0.7418666,0.00017017547,0.00090341904,0.0050481157,0.0027947796,0.04681394,0.006844295,0.17248677,0.020776626,0.00024301538],"about_ca_topic_score_codex":0.0011432454,"about_ca_topic_score_gemma":0.0006956019,"teacher_disagreement_score":0.020460382,"about_ca_system_score_codex":0.00064605,"about_ca_system_score_gemma":0.0006170421,"threshold_uncertainty_score":0.10820615},"labels":[],"label_agreement":null},{"id":"W3168641595","doi":"10.1093/rfs/hhab067","title":"Option Return Predictability","year":2021,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Chinese University of Hong Kong","keywords":"Predictability; Cash flow; Explanatory power; Economics; Portfolio; Sharpe ratio; Equity (law); Transaction cost; Profitability index; Financial economics; Business; Econometrics; Finance","score_opus":0.06311406520729475,"score_gpt":0.27952630181740906,"score_spread":0.21641223661011433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168641595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821815,0.0037418224,0.0074206097,0.0005071141,0.000047640573,0.00001114146,0.0006659148,0.00010428578,0.005320008],"genre_scores_gemma":[0.9984168,0.0004350586,0.0003184523,0.00003518234,0.000044311353,0.000003561205,0.00025168457,0.000008754913,0.00048629296],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994599,0.00010280792,0.000042449945,0.00015131151,0.00017943172,0.00006408912],"domain_scores_gemma":[0.98969686,0.0052730264,0.0027387335,0.0009435681,0.0010525887,0.00029530036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013151673,0.00022785313,0.00046599016,0.0014462672,0.0001393319,0.0012477903,0.00034134285,0.00042540437,0.0029381264],"category_scores_gemma":[0.012595079,0.00017367724,0.00035328668,0.0014804495,0.00029980522,0.0010993498,0.0004863611,0.0006675272,0.0005196973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002337063,0.00012596801,0.8677553,0.00016611532,0.00062559993,0.00063474575,0.00030980195,0.019476974,0.0046267016,0.014642232,0.0031485893,0.088254325],"study_design_scores_gemma":[0.000013180682,0.00010822625,0.90478104,0.00006870218,0.00016890078,0.0005922707,0.00016435215,0.05649077,0.0018100018,0.031517405,0.004235072,0.00005013218],"about_ca_topic_score_codex":0.0011801622,"about_ca_topic_score_gemma":0.00086547906,"teacher_disagreement_score":0.0029381264,"about_ca_system_score_codex":0.000302732,"about_ca_system_score_gemma":0.00017556903,"threshold_uncertainty_score":0.009828985},"labels":[],"label_agreement":null},{"id":"W3169686902","doi":"10.13140/rg.2.2.36173.97767","title":"Measuring Financial Advice: aligning client elicited and revealed risk","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Business; Actuarial science; Financial risk; Finance; Cash flow; Value (mathematics); Financial risk management; Risk management; Value at risk; Risk analysis (engineering); Computer science","score_opus":0.08758916304682073,"score_gpt":0.16534160597811948,"score_spread":0.07775244293129875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169686902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679818,0.00031715928,0.0165932,0.0007013581,0.000012657645,0.00025262305,0.0044399374,0.0002470355,0.009454083],"genre_scores_gemma":[0.97844416,0.00012818092,0.016566653,0.00012113194,0.000011259527,0.00025832286,0.0029617066,0.000032357235,0.0014760699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98662853,0.004661978,0.0015162055,0.0013282025,0.00528119,0.0005839562],"domain_scores_gemma":[0.92012405,0.040436227,0.02014598,0.0054275817,0.011957541,0.0019086376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009981577,0.000383642,0.0004353315,0.0028256692,0.00067394093,0.0024692828,0.00093970797,0.0010248618,0.0021152333],"category_scores_gemma":[0.08265969,0.000213711,0.00027865963,0.0031862736,0.00067402475,0.0018677021,0.0017338763,0.0011829907,0.0009367485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026877684,0.00027851784,0.8894109,0.00022197166,0.00009282082,0.00014798716,0.006192958,0.0030200798,0.0012519315,0.0024054558,0.0051088547,0.09159973],"study_design_scores_gemma":[0.000041191808,0.00022901465,0.93055075,0.00016058872,0.000046094505,0.0003249158,0.006928593,0.03545913,0.003563039,0.006248732,0.016320944,0.00012702972],"about_ca_topic_score_codex":0.017013151,"about_ca_topic_score_gemma":0.021546178,"teacher_disagreement_score":0.017013151,"about_ca_system_score_codex":0.0026686902,"about_ca_system_score_gemma":0.0017745501,"threshold_uncertainty_score":0.052788258},"labels":[],"label_agreement":null},{"id":"W3169731812","doi":"10.5539/ibr.v14n7p12","title":"The Impact of Ownership Structure on the Private Information: An Empirical Study Based on China’s A-Share Market","year":2021,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multicollinearity; Private information retrieval; Arbitrage; Heteroscedasticity; Business; Econometrics; China; Financial economics; Economics; Empirical research; Regression analysis; Actuarial science; Statistics","score_opus":0.10256074097713726,"score_gpt":0.3613531601729423,"score_spread":0.25879241919580503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169731812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988085,0.00010706741,0.00010892859,0.00016587766,0.0000031969819,0.0000071815984,0.00009206702,0.0000027514432,0.0007043883],"genre_scores_gemma":[0.99915254,0.00011317021,0.000045440425,0.00002054009,0.000011883669,0.0000029573484,0.00020614438,0.0000013575957,0.00044594583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994184,0.00008475515,0.000049458933,0.00009829379,0.00017496113,0.00017413365],"domain_scores_gemma":[0.9960478,0.001399816,0.0013754865,0.00017543173,0.00046299028,0.00053856324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001347857,0.00023574934,0.0003534839,0.0013943061,0.00064647436,0.0013132453,0.00049739407,0.0004935243,0.0032285643],"category_scores_gemma":[0.003101019,0.00019620397,0.0007064002,0.001571419,0.000756754,0.0021175647,0.0007518246,0.00075088907,0.00023320186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072763374,0.00018122733,0.9863635,0.00003984941,0.00009458031,0.0007489479,0.0009220606,0.0014118596,0.00035238004,0.0016478065,0.0008140587,0.007351038],"study_design_scores_gemma":[0.000015270149,0.00009673848,0.9790589,0.000018397826,0.00009111708,0.00011423706,0.0015355895,0.017359165,0.00032964058,0.00046607893,0.000897115,0.00001770247],"about_ca_topic_score_codex":0.04408147,"about_ca_topic_score_gemma":0.037028223,"teacher_disagreement_score":0.04408147,"about_ca_system_score_codex":0.0012136104,"about_ca_system_score_gemma":0.0011007142,"threshold_uncertainty_score":0.08764982},"labels":[],"label_agreement":null},{"id":"W3170805778","doi":"10.2139/ssrn.3856971","title":"Sustainable Institutional Investment in the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Pandemic; Investment (military); Coronavirus disease 2019 (COVID-19); Downside risk; Business; Financial market; Institutional investor; Investment strategy; Economics; Monetary economics; Financial system; Finance; Political science; Corporate governance; Market liquidity; Portfolio; Geography; Politics","score_opus":0.03608968182248534,"score_gpt":0.24599104904642205,"score_spread":0.2099013672239367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170805778","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35740766,0.0046325163,0.0116895465,0.18471146,0.0012376156,0.00013175255,0.00078314554,0.00028150962,0.4391248],"genre_scores_gemma":[0.98398685,0.00068721845,0.00072346063,0.00424923,0.00017519724,0.00003098561,0.000093992734,0.000030431393,0.010022565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989774,0.0002689533,0.000019653138,0.00007931417,0.00011639264,0.0005382835],"domain_scores_gemma":[0.99768245,0.00045721457,0.000369694,0.00019254649,0.0002858259,0.0010123546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023198184,0.00024906482,0.00028434332,0.000420385,0.0013301515,0.005239761,0.0006555098,0.003657182,0.012252939],"category_scores_gemma":[0.008348318,0.00013345206,0.00021575124,0.0004892866,0.0028438831,0.0035591896,0.0035401883,0.0029300887,0.0009002189],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010046346,0.000080131525,0.004575218,0.000046559635,0.000025893218,0.00033532883,0.00039064646,0.0037737323,0.00050120434,0.93905455,0.027137343,0.023978913],"study_design_scores_gemma":[0.000055947785,0.0000939587,0.010276085,0.00020076144,0.0000116830215,0.00021495424,0.0027585924,0.007546234,0.0005569577,0.83024305,0.14799985,0.0000419573],"about_ca_topic_score_codex":0.004099822,"about_ca_topic_score_gemma":0.0059525166,"teacher_disagreement_score":0.012252939,"about_ca_system_score_codex":0.0034606038,"about_ca_system_score_gemma":0.005365174,"threshold_uncertainty_score":0.040990114},"labels":[],"label_agreement":null},{"id":"W3171817479","doi":"10.1016/j.finmar.2021.100655","title":"Information and liquidity of over-the-counter securities: Evidence from public registration of Rule 144A bonds","year":2021,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Market liquidity; Bond; Issuer; Transparency (behavior); Business; Corporate bond; Bond market; Information asymmetry; Liquidity crisis; Bond market index; Ex-ante; Monetary economics; Economics; Financial system; Financial economics; Accounting; Finance; Law","score_opus":0.026249653949919984,"score_gpt":0.2200186075755352,"score_spread":0.19376895362561522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171817479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754816,0.00015064464,0.000045274664,0.0002980506,0.0000048752804,0.000007222134,0.00034845216,0.0000035311311,0.0015937487],"genre_scores_gemma":[0.9986045,0.00013849605,0.000034851902,0.000054680186,0.000021945212,0.000004103847,0.00048228964,0.000003578865,0.0006556684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985807,0.00050809036,0.00016111393,0.00018859618,0.00033409474,0.00022739066],"domain_scores_gemma":[0.90184134,0.0363459,0.05159686,0.0040932936,0.0037693274,0.0023532542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030902938,0.0001884994,0.00041817216,0.0011469694,0.00061040296,0.0028743248,0.0009438925,0.0020538482,0.00451075],"category_scores_gemma":[0.034707323,0.00036846666,0.00026777064,0.0017669895,0.001007094,0.0020271025,0.000991716,0.0014361003,0.0010920261],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00407979,0.0013860785,0.968873,0.00008590108,0.00019701546,0.00058922544,0.0025067972,0.00088700553,0.0019107409,0.0021779817,0.00213756,0.015168988],"study_design_scores_gemma":[0.00021391896,0.00066935644,0.98671454,0.000057062167,0.00016322453,0.00026766813,0.0026213136,0.0018858858,0.0020180743,0.0019693172,0.0033779615,0.00004165868],"about_ca_topic_score_codex":0.01274229,"about_ca_topic_score_gemma":0.012533502,"teacher_disagreement_score":0.01274229,"about_ca_system_score_codex":0.0007158274,"about_ca_system_score_gemma":0.0006317559,"threshold_uncertainty_score":0.025336206},"labels":[],"label_agreement":null},{"id":"W3172471553","doi":"10.2139/ssrn.3187756","title":"V-Shaped Disposition Effect, Stock Prices, and Post-Earnings-Announcement Drift: Evidence from Korea","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Earnings; Stock (firearms); Disposition effect; Economics; Disposition; Post-earnings-announcement drift; Monetary economics; Business; Stock price; Earnings response coefficient; Accounting; Geography; Psychology","score_opus":0.014477552937728747,"score_gpt":0.22301248076390873,"score_spread":0.20853492782618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172471553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909973,0.000092347946,0.000082612576,0.000040107712,0.0000039467955,0.0000034116208,0.00016618511,0.0000022825272,0.0005093743],"genre_scores_gemma":[0.9994373,0.000059526832,0.00005311834,0.000017923945,0.0000035851442,0.0000011884182,0.00020337616,0.000002121943,0.0002218099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980336,0.000037922924,0.000025761641,0.00006467816,0.00002628894,0.000041943473],"domain_scores_gemma":[0.9961124,0.001017419,0.0018527933,0.00036952377,0.0002937108,0.00035426204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008501034,0.00024056832,0.00026795478,0.00044683216,0.00030267748,0.000693583,0.00044207304,0.00045337735,0.0035809847],"category_scores_gemma":[0.0032168005,0.0001993756,0.0003601946,0.00082815724,0.00043082438,0.0006867684,0.0005226683,0.0005237278,0.00035814545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006730961,0.00015379922,0.9915216,0.000028206312,0.00011917016,0.00026368877,0.00022428138,0.00024185883,0.0013123873,0.00051996275,0.00021259094,0.00472942],"study_design_scores_gemma":[0.000024403578,0.0001224457,0.9980767,0.0000053771037,0.00007594833,0.0001199205,0.0003455455,0.0004644017,0.0002733164,0.00026549306,0.00021860118,0.000007881123],"about_ca_topic_score_codex":0.0058631953,"about_ca_topic_score_gemma":0.009571109,"teacher_disagreement_score":0.0058631953,"about_ca_system_score_codex":0.00022503281,"about_ca_system_score_gemma":0.00037366487,"threshold_uncertainty_score":0.01197958},"labels":[],"label_agreement":null},{"id":"W3172640453","doi":"10.3390/jrfm14060263","title":"A New Measure of Market Inefficiency","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inefficiency; Economics; Volatility (finance); Financial market; Corollary; Market microstructure; Financial economics; Measure (data warehouse); Financial crisis; Context (archaeology); Efficient-market hypothesis; High-frequency trading; Empirical research; Econometrics; Algorithmic trading; Microeconomics; Finance; Order (exchange); Stock market; Computer science; Macroeconomics","score_opus":0.01283351675232042,"score_gpt":0.1879734323671497,"score_spread":0.17513991561482928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172640453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54909116,0.0017787557,0.40727097,0.001675229,0.00018312376,0.00034812046,0.0033425926,0.0006922879,0.03561777],"genre_scores_gemma":[0.96844494,0.00025603702,0.028775668,0.00013233852,0.00010004775,0.00014063723,0.0008882924,0.000056197758,0.0012058818],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957267,0.001061446,0.0006865633,0.0005514882,0.0016827533,0.00029097658],"domain_scores_gemma":[0.9549537,0.023399739,0.011951169,0.004882777,0.0033379965,0.0014746855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063505946,0.0008477903,0.0009365286,0.0072910376,0.00054956245,0.0038273167,0.0013835654,0.0014312146,0.005075576],"category_scores_gemma":[0.04389575,0.00034870033,0.0007617031,0.0043457993,0.0027423422,0.00925846,0.002476267,0.0016141644,0.00055580196],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047756315,0.0006000001,0.17208435,0.00047029892,0.0010224066,0.00071461644,0.001165758,0.06701952,0.016137647,0.61617637,0.0071391384,0.116992325],"study_design_scores_gemma":[0.00014753586,0.00078955694,0.14499645,0.00020015052,0.00023745716,0.0020409075,0.0013106997,0.24138936,0.0074903574,0.57752365,0.023537055,0.00033690906],"about_ca_topic_score_codex":0.0008357032,"about_ca_topic_score_gemma":0.0006278271,"teacher_disagreement_score":0.0072910376,"about_ca_system_score_codex":0.0012209441,"about_ca_system_score_gemma":0.0009448108,"threshold_uncertainty_score":0.03358555},"labels":[],"label_agreement":null},{"id":"W3173410248","doi":"","title":"Systematic Risk and Timescales","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Capital asset pricing model; Portfolio; Wavelet; Econometrics; Market portfolio; Systematic risk; BETA (programming language); Scale (ratio); Economics; Financial economics; Rate of return on a portfolio; Security market line; Portfolio optimization; Mathematics; Computer science; Stock market; Geology; Geography; Artificial intelligence; Cartography","score_opus":0.008102763655720678,"score_gpt":0.1833571258150781,"score_spread":0.1752543621593574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173410248","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34837195,0.01006204,0.59852433,0.003000035,0.00057033723,0.00007153553,0.00042685698,0.00039051322,0.03858241],"genre_scores_gemma":[0.977526,0.0019374182,0.016725274,0.0001369914,0.00039269647,0.00004113993,0.000112983274,0.00009080937,0.0030366306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992781,0.00018432984,0.00004839525,0.00019383982,0.00021151728,0.00008384852],"domain_scores_gemma":[0.99398094,0.002929915,0.0016827661,0.00071426976,0.00034623628,0.00034580927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022730075,0.0006637464,0.00054562005,0.0010558557,0.00041993984,0.0020786605,0.0006550102,0.0009936454,0.0026027074],"category_scores_gemma":[0.0210066,0.00034062087,0.0005564462,0.0008888296,0.0012706945,0.0043312963,0.0018363099,0.0012623401,0.0003342069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013811344,0.000052677937,0.03936967,0.00025461035,0.00026217423,0.0005400351,0.0009769083,0.05522636,0.0052136765,0.80452156,0.0021194548,0.0913247],"study_design_scores_gemma":[0.000020852993,0.000099626486,0.030934395,0.00008481372,0.00007001047,0.0004228805,0.00025264523,0.073894024,0.0006819886,0.88540214,0.008060277,0.00007626079],"about_ca_topic_score_codex":0.0013050695,"about_ca_topic_score_gemma":0.0006567145,"teacher_disagreement_score":0.0026027074,"about_ca_system_score_codex":0.00058260927,"about_ca_system_score_gemma":0.00060054986,"threshold_uncertainty_score":0.012020946},"labels":[],"label_agreement":null},{"id":"W3174037659","doi":"10.1007/s12525-021-00485-0","title":"On the economic effects of the text completion interface: empirical analysis of financial markets","year":2021,"lang":"en","type":"article","venue":"Electronic Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Financial market; Database transaction; Investment (military); Exploratory research; Transaction cost; Business; Empirical evidence; Monetary economics; Economics; Finance; Computer science; Database","score_opus":0.013069455855328855,"score_gpt":0.22732692869392046,"score_spread":0.21425747283859162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174037659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855413,0.0012052334,0.0016411484,0.0017747735,0.000057727553,0.00005904723,0.00038348217,0.000055734552,0.0092815785],"genre_scores_gemma":[0.9958931,0.0003311362,0.00033854868,0.00011501036,0.00015830221,0.000018877534,0.00019441594,0.00003330667,0.0029173004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978873,0.0013049272,0.000093551156,0.00018706244,0.00026490202,0.00026231792],"domain_scores_gemma":[0.74555236,0.22808787,0.0139895715,0.0049247597,0.0044736187,0.002971816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008423087,0.00058763963,0.00081074995,0.0015596027,0.00067471276,0.0036966112,0.0017047315,0.0016654792,0.0333669],"category_scores_gemma":[0.111186065,0.00034663922,0.00078984717,0.0015667605,0.0023236675,0.008693577,0.0014457055,0.003264131,0.002091756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03444471,0.027198602,0.35210124,0.0019557576,0.0012778562,0.0017853116,0.0047951704,0.12785138,0.009852731,0.18685395,0.036551245,0.21533208],"study_design_scores_gemma":[0.0032529684,0.0030761042,0.3735171,0.0003467562,0.0019407948,0.00046338307,0.0047420477,0.46376935,0.008504228,0.13213645,0.007986321,0.00026458426],"about_ca_topic_score_codex":0.006683171,"about_ca_topic_score_gemma":0.00300538,"teacher_disagreement_score":0.0333669,"about_ca_system_score_codex":0.0010607241,"about_ca_system_score_gemma":0.00079412817,"threshold_uncertainty_score":0.11162335},"labels":[],"label_agreement":null},{"id":"W3175168228","doi":"10.3390/jrfm14070283","title":"Financial Risk and Better Returns through Smart Beta Exchange-Traded Funds?","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sharpe ratio; Risk–return spectrum; Volatility (finance); Economics; Capital asset pricing model; Momentum (technical analysis); Order (exchange); Econometrics; Financial economics; Factor analysis; Business; Finance","score_opus":0.01935303921345229,"score_gpt":0.2040861289293699,"score_spread":0.1847330897159176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175168228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885239,0.0012881019,0.0035409613,0.00068891485,0.000022774693,0.000022809538,0.00027326806,0.00005244245,0.00558672],"genre_scores_gemma":[0.99856406,0.00024082942,0.0006139241,0.000044973654,0.000030098465,0.000004329005,0.00009049623,0.0000053925664,0.00040576202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898976,0.00030604433,0.00008249265,0.00017779913,0.00027831184,0.00016553649],"domain_scores_gemma":[0.99601495,0.0009124735,0.0022133028,0.00036422387,0.0002584481,0.00023651977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003322461,0.00036515354,0.00046712227,0.0015171205,0.00019988517,0.0031629363,0.000370058,0.0007437876,0.0019004588],"category_scores_gemma":[0.011432531,0.000119464305,0.0004328747,0.001428226,0.0007301192,0.0033531059,0.0012972011,0.0005397347,0.00031526914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014171504,0.00030327012,0.74896234,0.00027070014,0.0004048168,0.0008114652,0.0015252746,0.02153098,0.0022621327,0.04234877,0.0024320148,0.1777311],"study_design_scores_gemma":[0.00013400716,0.0016510672,0.8679907,0.00029895036,0.00031313987,0.0014925156,0.0023241893,0.047311798,0.0036092552,0.05639267,0.018349245,0.0001324852],"about_ca_topic_score_codex":0.0010491067,"about_ca_topic_score_gemma":0.000864874,"teacher_disagreement_score":0.003322461,"about_ca_system_score_codex":0.00044837905,"about_ca_system_score_gemma":0.00041931082,"threshold_uncertainty_score":0.017571092},"labels":[],"label_agreement":null},{"id":"W3175426713","doi":"10.3905/jfds.2021.1.070","title":"Weak Supervision and Black-Litterman for Automated ESG Portfolio Construction","year":2021,"lang":"en","type":"article","venue":"The Journal of Financial Data Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Black–Litterman model; Computer science; Portfolio; Portfolio optimization; Key (lock); Project portfolio management; Consistency (knowledge bases); Machine learning; Artificial intelligence; Replicating portfolio; Business; Engineering; Finance; Systems engineering; Project management","score_opus":0.04686496758925521,"score_gpt":0.26502349080897636,"score_spread":0.21815852321972115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175426713","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009140961,0.00006881256,0.9885565,0.0003269747,0.000029713621,0.00004178273,0.000061175095,0.00047740657,0.0012967056],"genre_scores_gemma":[0.29777738,0.00014864198,0.69747674,0.00033832225,0.00014125362,0.00017682975,0.00046692474,0.00020230137,0.0032715397],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964611,0.0019922159,0.00022069702,0.0005156272,0.0006822695,0.00012802891],"domain_scores_gemma":[0.99267983,0.0042520487,0.00080837973,0.0011835805,0.0008750493,0.0002010534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007079773,0.00097331696,0.0010105502,0.0014504368,0.00063955126,0.0018028393,0.0014060537,0.0012717249,0.0039216164],"category_scores_gemma":[0.021147616,0.0007408603,0.00089368277,0.0013778934,0.0013101514,0.0036701823,0.00248763,0.0026456134,0.0010684686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026605304,0.00039144335,0.0059188316,0.00017490369,0.00015962262,0.00024940178,0.00045537588,0.344037,0.004937292,0.16061534,0.0077931033,0.4750016],"study_design_scores_gemma":[0.000011935883,0.000032062053,0.00030161347,0.000010458239,0.0000063482953,0.000020223211,0.000016734497,0.9482459,0.0013151993,0.04877983,0.0012490836,0.000010549988],"about_ca_topic_score_codex":0.0020232564,"about_ca_topic_score_gemma":0.002067052,"teacher_disagreement_score":0.007079773,"about_ca_system_score_codex":0.000993273,"about_ca_system_score_gemma":0.0015734769,"threshold_uncertainty_score":0.03744191},"labels":[],"label_agreement":null},{"id":"W3175633343","doi":"10.2139/ssrn.3779601","title":"Informed Trader Competition","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Competition (biology); Business; Industrial organization; Economics","score_opus":0.018620985854199718,"score_gpt":0.20978558040064935,"score_spread":0.19116459454644963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175633343","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12565584,0.0015394391,0.06963513,0.010411247,0.00056890066,0.00011270239,0.0009445054,0.00062633853,0.7905058],"genre_scores_gemma":[0.9128729,0.00043515643,0.002662427,0.0011230737,0.00021942871,0.000031832547,0.00020108737,0.00004578958,0.08240836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998528,0.00041237715,0.000054100732,0.0003353002,0.00041957723,0.0002506067],"domain_scores_gemma":[0.9959699,0.0018215668,0.0005629865,0.0010695686,0.00029644748,0.00027951365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018065622,0.0004253044,0.0008664288,0.0006398131,0.0007215185,0.005321801,0.0009464848,0.0042387685,0.053090572],"category_scores_gemma":[0.008268348,0.00040001058,0.0006157825,0.00072793284,0.0013318508,0.0040172283,0.0013507574,0.0022452776,0.0067445845],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021843008,0.000101404425,0.0010295545,0.000067630615,0.00005360609,0.00026696618,0.00016576132,0.012019277,0.0010583366,0.93611145,0.016955595,0.031952],"study_design_scores_gemma":[0.000095675336,0.00010150406,0.0013632291,0.00003333916,0.00002968466,0.0002626002,0.00013659999,0.033032533,0.00068956503,0.93867785,0.025541835,0.00003556633],"about_ca_topic_score_codex":0.0009257358,"about_ca_topic_score_gemma":0.0014872659,"teacher_disagreement_score":0.053090572,"about_ca_system_score_codex":0.0011050154,"about_ca_system_score_gemma":0.0012412955,"threshold_uncertainty_score":0.17760563},"labels":[],"label_agreement":null},{"id":"W3177345212","doi":"","title":"Smart Indexing under Regime-Switching Economic States","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Search engine indexing; Index (typography); Portfolio; Benchmark (surveying); Econometrics; Consumer confidence index; Sample (material); Computer science; Business; Economics; Financial economics; Artificial intelligence; Macroeconomics; Geography","score_opus":0.015898846628444135,"score_gpt":0.21254284400207357,"score_spread":0.19664399737362945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177345212","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7837204,0.00040944127,0.19787264,0.0011670089,0.00009051872,0.00025983152,0.0005108217,0.0014326158,0.014536763],"genre_scores_gemma":[0.9926387,0.000049945756,0.006461505,0.000090013295,0.000033528384,0.00003962589,0.00007986899,0.000021316306,0.0005855006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99663615,0.0012241547,0.0003031591,0.00066426053,0.00062981644,0.000542354],"domain_scores_gemma":[0.9625042,0.019607743,0.0079868585,0.0071461257,0.0016483149,0.001106688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016994491,0.00059677457,0.0013629204,0.0012835757,0.0005747763,0.0042850883,0.0015561908,0.0017543698,0.0028332004],"category_scores_gemma":[0.05835467,0.00038988588,0.0005442771,0.0011574422,0.0021366542,0.0047987406,0.0021747602,0.0016806688,0.00046867374],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004118717,0.0008575629,0.060969952,0.00028026884,0.00064704067,0.0007423492,0.0008690003,0.34221292,0.014965076,0.3341277,0.004952586,0.23525679],"study_design_scores_gemma":[0.0005354916,0.0009025625,0.0141077535,0.00005242393,0.00015203765,0.0002215331,0.00018220385,0.75596166,0.010797872,0.21522425,0.0017507288,0.000111469286],"about_ca_topic_score_codex":0.0013192313,"about_ca_topic_score_gemma":0.0009894902,"teacher_disagreement_score":0.016994491,"about_ca_system_score_codex":0.0010153973,"about_ca_system_score_gemma":0.0013167904,"threshold_uncertainty_score":0.08987653},"labels":[],"label_agreement":null},{"id":"W3178687652","doi":"","title":"January effect: the existence in Malaysia stock market / Muhamad Faiz Irwan Fadzil","year":2013,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"January effect; Statistic; Stock market; Economics; Capital market; Seasonality; Standard deviation; Demography; Geography; Statistics; Mathematics; Finance","score_opus":0.015374403659032636,"score_gpt":0.19609355918914428,"score_spread":0.18071915553011164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178687652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98488,0.0028967813,0.00027082712,0.0016663849,0.000081001795,0.000015336464,0.00049997575,0.000023076087,0.0096667465],"genre_scores_gemma":[0.99750096,0.0005708984,0.000057341713,0.000079127414,0.00007675358,0.0000018000035,0.00017875175,0.0000026608009,0.0015317973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962103,0.000058756945,0.00004049455,0.00006962165,0.00014765705,0.00006243375],"domain_scores_gemma":[0.99649304,0.00085480144,0.0019069988,0.00016452282,0.0003637151,0.00021696641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000726884,0.00017839356,0.00023392585,0.00082248705,0.0003026786,0.0011506107,0.00019426853,0.00028475132,0.004171869],"category_scores_gemma":[0.0032195724,0.000109823144,0.00033143468,0.0010333675,0.0003255072,0.00065870374,0.00034156747,0.0005089073,0.00044380993],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003174569,0.00009643231,0.9600894,0.0000828869,0.00014408,0.0006015865,0.00035065375,0.00031405507,0.00066666666,0.001036156,0.0029468243,0.033353906],"study_design_scores_gemma":[0.000006536686,0.000063132,0.99634427,0.000019124862,0.000052833442,0.00017699612,0.00029800934,0.0006021197,0.00042211628,0.00027487756,0.00173408,0.000005896748],"about_ca_topic_score_codex":0.011040628,"about_ca_topic_score_gemma":0.01345749,"teacher_disagreement_score":0.011040628,"about_ca_system_score_codex":0.00044768848,"about_ca_system_score_gemma":0.00047770084,"threshold_uncertainty_score":0.021952748},"labels":[],"label_agreement":null},{"id":"W3179473482","doi":"10.2139/ssrn.3761523","title":"When Do Informed Short Sellers Trade? Evidence from Intraday Data and Implications for Informed Trading Models","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Earnings; Stock (firearms); Stock exchange; Financial economics; Business; Economics; Econometrics; Monetary economics; Finance; History","score_opus":0.088048086084657,"score_gpt":0.27404507434015923,"score_spread":0.18599698825550223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179473482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867754,0.0013217564,0.004681649,0.0016992831,0.000065611144,0.000025326537,0.0011148507,0.000044350538,0.004271816],"genre_scores_gemma":[0.9964707,0.0004905155,0.00063405914,0.00014596604,0.000090496,0.000010177247,0.00086703507,0.000017641885,0.0012733553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982487,0.0005686165,0.00029491587,0.00045437936,0.0002672578,0.00016619278],"domain_scores_gemma":[0.8547082,0.10371654,0.02789022,0.009610281,0.0024754968,0.0015992516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069933706,0.00046166964,0.0014311274,0.001209501,0.0007347458,0.005443071,0.001481458,0.003440956,0.008441339],"category_scores_gemma":[0.07561468,0.0009477951,0.00073799095,0.001935286,0.0013715319,0.008768227,0.0013183972,0.0023429664,0.0022115053],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0076410184,0.0013116085,0.8359938,0.0005289062,0.0014145061,0.001372441,0.0038770353,0.035172533,0.0021301082,0.02903873,0.007983086,0.073536165],"study_design_scores_gemma":[0.0010281473,0.0008896167,0.53697705,0.00030248467,0.0013525328,0.0013812203,0.0059280326,0.22149701,0.0051038405,0.21520238,0.009946123,0.00039156224],"about_ca_topic_score_codex":0.0040343166,"about_ca_topic_score_gemma":0.0033715875,"teacher_disagreement_score":0.008441339,"about_ca_system_score_codex":0.00044711487,"about_ca_system_score_gemma":0.00037660502,"threshold_uncertainty_score":0.03698492},"labels":[],"label_agreement":null},{"id":"W3180660107","doi":"","title":"An Empirical Examination of the Divergence between Managers’ and Analysts’ Earnings Forecasts","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consensus forecast; Earnings; Quarter (Canadian coin); Divergence (linguistics); Econometrics; Economics; Business; Actuarial science; Financial economics; Finance; Geography","score_opus":0.021810622891441964,"score_gpt":0.22601835632859457,"score_spread":0.2042077334371526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180660107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987748,0.000059284568,0.00023365779,0.00009891345,0.000003667423,0.0000035022906,0.0000550562,0.0000039048864,0.0007671295],"genre_scores_gemma":[0.99958307,0.000025722826,0.00012125455,0.000017381844,0.000009444065,0.0000026554078,0.00016480917,0.0000019118706,0.00007370497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796593,0.0006291609,0.0002283665,0.00037330698,0.0005815209,0.00022168261],"domain_scores_gemma":[0.84313905,0.1063263,0.041068587,0.0029824867,0.004048257,0.0024352807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049289144,0.00024860835,0.0004707526,0.0012878113,0.00043200754,0.0018711427,0.00054125267,0.0009774906,0.0016320344],"category_scores_gemma":[0.079115294,0.00022970921,0.0002057271,0.0015736236,0.0008049165,0.0021450857,0.0013041657,0.0017263376,0.00028733694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000670848,0.00023101915,0.9820572,0.000043560565,0.00013503092,0.000327035,0.0015931879,0.0024115578,0.0017731444,0.0010175143,0.00043576167,0.0093041165],"study_design_scores_gemma":[0.000029208468,0.00022042566,0.98821545,0.000020059566,0.00003858269,0.00027788122,0.0020529148,0.0066000973,0.00061983074,0.001353587,0.00054431363,0.000027752938],"about_ca_topic_score_codex":0.0021077795,"about_ca_topic_score_gemma":0.0022013518,"teacher_disagreement_score":0.0049289144,"about_ca_system_score_codex":0.0005738088,"about_ca_system_score_gemma":0.00043075846,"threshold_uncertainty_score":0.0260669},"labels":[],"label_agreement":null},{"id":"W3181386493","doi":"10.2139/ssrn.962922","title":"Synchronization Risk and the Nasdaq Technology Bubble","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bubble; Synchronization (alternating current); Economic bubble; Business; Economics; Financial economics; Computer science; Monetary economics; Telecommunications; Parallel computing","score_opus":0.0041974742415896975,"score_gpt":0.16885269282580884,"score_spread":0.16465521858421914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181386493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9593962,0.0017710674,0.0060162325,0.00979328,0.000119815326,0.000015315474,0.00028522147,0.00010431997,0.022498501],"genre_scores_gemma":[0.99833196,0.0002674162,0.00011503557,0.000072538605,0.00008157103,0.0000024474075,0.000036186742,0.0000070345886,0.0010858856],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975616,0.00006904684,0.000019280385,0.000043703185,0.000059050948,0.000052804764],"domain_scores_gemma":[0.9930686,0.0030880962,0.002715455,0.00022410451,0.00041087062,0.0004928849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015282604,0.00019076442,0.0004282058,0.00071377534,0.0005924256,0.0023825807,0.00033389352,0.0018651828,0.0057367324],"category_scores_gemma":[0.01590678,0.000199178,0.00025958286,0.0008257511,0.0011139266,0.002580989,0.0008930163,0.0015910933,0.00040008724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021588164,0.00029083484,0.17512578,0.00016273487,0.00019723021,0.0022798495,0.001481872,0.058019932,0.0058016335,0.67412996,0.021667583,0.058683675],"study_design_scores_gemma":[0.0003601523,0.00032857538,0.20007381,0.00007829166,0.00025111315,0.0007084083,0.002043925,0.19272548,0.0020129825,0.5901521,0.011100475,0.00016470099],"about_ca_topic_score_codex":0.0060609565,"about_ca_topic_score_gemma":0.0036749525,"teacher_disagreement_score":0.0060609565,"about_ca_system_score_codex":0.0012183273,"about_ca_system_score_gemma":0.00057481194,"threshold_uncertainty_score":0.019191325},"labels":[],"label_agreement":null},{"id":"W3181536302","doi":"10.3390/jrfm14070321","title":"Equity Premium with Habits, Wealth Inequality and Background Risk","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Equity premium puzzle; Inequality; Endowment; Equity (law); Equity risk; Risk premium; Economic inequality; Financial economics; Income inequality metrics; Monetary economics; Finance; Private equity","score_opus":0.027477230321509154,"score_gpt":0.23876389362594877,"score_spread":0.21128666330443963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181536302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891713,0.0001624988,0.0064848512,0.00040124232,0.00000868736,0.000011192439,0.00007414105,0.000011303763,0.003674656],"genre_scores_gemma":[0.99845505,0.000077279794,0.0003602768,0.000026993152,0.000012744632,0.000004494784,0.000023346014,0.0000015709891,0.0010382887],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998336,0.000051085975,0.000008557799,0.00003212729,0.000017433953,0.000057195848],"domain_scores_gemma":[0.99708146,0.0011832563,0.001087713,0.00018459467,0.00009569926,0.00036727052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074653537,0.0003727011,0.00038457097,0.00036111192,0.00029537277,0.001338764,0.00032814412,0.0009135585,0.00373752],"category_scores_gemma":[0.003766371,0.00015260048,0.00038181714,0.0003631427,0.0008075724,0.0015071493,0.00090207567,0.001010336,0.00015415245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088605547,0.0009912369,0.51035875,0.00020142405,0.0005197235,0.0026878347,0.0011841138,0.10952031,0.013041411,0.32617056,0.0015768718,0.032861605],"study_design_scores_gemma":[0.00016439066,0.000578293,0.39709395,0.000059239876,0.000325863,0.0005753033,0.0009837626,0.27821407,0.0024035801,0.31784165,0.0016546658,0.00010518644],"about_ca_topic_score_codex":0.0025228963,"about_ca_topic_score_gemma":0.0020211893,"teacher_disagreement_score":0.00373752,"about_ca_system_score_codex":0.0005197481,"about_ca_system_score_gemma":0.00023149166,"threshold_uncertainty_score":0.012503207},"labels":[],"label_agreement":null},{"id":"W3182031274","doi":"10.3390/jrfm14070313","title":"Testing the Efficiency of Globally Listed Private Equity Markets","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Random walk hypothesis; Econometrics; Random walk; Financial economics; Autocorrelation; Efficient-market hypothesis; Economics; Variance (accounting); Null hypothesis; Business; Statistics; Mathematics; Accounting; Stock market; Geography","score_opus":0.029382039082785416,"score_gpt":0.22661727271063464,"score_spread":0.19723523362784923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182031274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954228,0.000067437344,0.003350246,0.00005819964,0.0000017323397,0.000009631322,0.000092080416,0.000010379467,0.000987508],"genre_scores_gemma":[0.9990828,0.000028900136,0.0005100129,0.000008382745,0.0000045969414,0.000004069791,0.0002179855,0.0000033561835,0.00013984574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985576,0.00058147765,0.000115939016,0.00030722024,0.00026263486,0.00017510894],"domain_scores_gemma":[0.9824668,0.011222283,0.0041459063,0.00092232303,0.0008100304,0.0004327479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037600119,0.0004135226,0.0005732302,0.0013514195,0.00022266187,0.0012334143,0.00055780564,0.0004745572,0.0019266485],"category_scores_gemma":[0.018945066,0.00016091931,0.00048751754,0.0010488934,0.00087750383,0.0028194096,0.0011027377,0.00042341527,0.00019159546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026267782,0.00012632435,0.92553973,0.00007519504,0.00041420312,0.0004496544,0.0003130318,0.030673845,0.0027450658,0.008956447,0.0003667425,0.030077057],"study_design_scores_gemma":[0.00004776443,0.00062295113,0.8015885,0.000035108416,0.00013880777,0.00039151462,0.0009626773,0.17750894,0.0030474898,0.014731822,0.0008785488,0.000046042936],"about_ca_topic_score_codex":0.0022779494,"about_ca_topic_score_gemma":0.002425333,"teacher_disagreement_score":0.0037600119,"about_ca_system_score_codex":0.0004407529,"about_ca_system_score_gemma":0.00051268237,"threshold_uncertainty_score":0.019885063},"labels":[],"label_agreement":null},{"id":"W3182432781","doi":"10.1111/acfi.12822","title":"Institutional ownership and liquidity commonality: evidence from Australia","year":2021,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Market liquidity; Institutional investor; Equity (law); Accounting liquidity; Business; Monetary economics; Foreign ownership; Liquidity crisis; Foreign direct investment; Liquidity risk; Financial system; Economics; Finance; Corporate governance; Political science","score_opus":0.11137326418957295,"score_gpt":0.259444444861328,"score_spread":0.14807118067175506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182432781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99846625,0.00030424222,0.000052965763,0.00010637468,0.0000016312814,0.0000039050237,0.00011445384,0.0000012022133,0.00094885577],"genre_scores_gemma":[0.9994696,0.00018924497,0.000030895073,0.000013546201,0.0000046785767,0.0000019078325,0.000079208075,7.1026926e-7,0.00021032603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948174,0.00013396509,0.000056876877,0.00009228613,0.00013479812,0.000100507415],"domain_scores_gemma":[0.99133575,0.0012599692,0.0050328933,0.00035436958,0.0012805696,0.0007363711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090575375,0.00014187231,0.00023236513,0.002012401,0.0004924986,0.0009602413,0.00040838867,0.00028511317,0.0016357127],"category_scores_gemma":[0.004997398,0.00018925688,0.0003043149,0.0024206236,0.0007681227,0.00086436194,0.0017099354,0.00042153912,0.00013037176],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053015126,0.000050516664,0.9888666,0.000053897624,0.00010053301,0.00038748008,0.0036556618,0.00016634441,0.0004461774,0.00031790487,0.00023362768,0.005668159],"study_design_scores_gemma":[0.0000011607481,0.000017389244,0.9987429,0.000013732247,0.000014795756,0.00006470322,0.0006063573,0.0001506116,0.000052473373,0.000049561066,0.00028356016,0.0000027537037],"about_ca_topic_score_codex":0.100912906,"about_ca_topic_score_gemma":0.12792173,"teacher_disagreement_score":0.100912906,"about_ca_system_score_codex":0.0008405493,"about_ca_system_score_gemma":0.0006773717,"threshold_uncertainty_score":0.20065105},"labels":[],"label_agreement":null},{"id":"W3182721994","doi":"10.1080/1540496x.2021.1941860","title":"Macro Factors and Bond Returns in China","year":2021,"lang":"en","type":"article","venue":"Emerging Markets Finance and Trade","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Economics; Government bond; Emerging markets; Bond; Predictive power; Macro; Bond market; Excess return; Financial market; Monetary economics; Sample (material); Financial economics; Monetary policy; Econometrics; Macroeconomics; Finance","score_opus":0.015162147611013218,"score_gpt":0.20560047796652905,"score_spread":0.19043833035551583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182721994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985184,0.00019067607,0.00019620902,0.000117727264,0.0000038414687,0.0000036976635,0.00025420386,0.000007043462,0.00070818985],"genre_scores_gemma":[0.999253,0.000123371,0.00003919442,0.0000074630134,0.000005765837,0.000001524664,0.00021562442,0.0000014599551,0.00035276226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981016,0.000026222715,0.000022026594,0.000048011818,0.000050309955,0.000043337437],"domain_scores_gemma":[0.99877816,0.00023023467,0.000514982,0.00008347864,0.00020904609,0.00018403339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007571984,0.00028755807,0.00030037598,0.001166013,0.00036359043,0.0010905099,0.00024599818,0.00026416857,0.0015873596],"category_scores_gemma":[0.0020610197,0.00015571398,0.00038285318,0.0014858645,0.0002888184,0.0005845223,0.00043053413,0.00037988345,0.00019932618],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005359602,0.00003692256,0.9846769,0.000017783279,0.00008519562,0.0002875802,0.00017600444,0.004043661,0.000411756,0.0012886152,0.0004559132,0.008466192],"study_design_scores_gemma":[0.0000043063023,0.000026673531,0.9843797,0.000007756949,0.000029920295,0.000040952942,0.00012645712,0.01392037,0.00016469635,0.00052784925,0.0007609511,0.0000102912045],"about_ca_topic_score_codex":0.045196336,"about_ca_topic_score_gemma":0.036662262,"teacher_disagreement_score":0.045196336,"about_ca_system_score_codex":0.0009794711,"about_ca_system_score_gemma":0.0007451597,"threshold_uncertainty_score":0.08986652},"labels":[],"label_agreement":null},{"id":"W3183243825","doi":"10.3390/jrfm14070334","title":"Risk and the Market’s Reaction to M&amp;A Announcements","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Value (mathematics); Shareholder value; Market value; Mergers and acquisitions; Shareholder; Basis point; Abnormal return; Outlier; Monetary economics; Accounting; Economics; Finance; Corporate governance; Statistics","score_opus":0.016109464208275148,"score_gpt":0.20607887511889647,"score_spread":0.18996941091062133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183243825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99709237,0.00009395882,0.000229463,0.00016901398,0.000010938573,0.00001905886,0.00016638555,0.000011514848,0.0022072808],"genre_scores_gemma":[0.9991603,0.000035686135,0.000073217045,0.000021991333,0.000029168563,0.000006649506,0.00016009637,0.0000025756576,0.0005102688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989717,0.00026456572,0.000113531074,0.00014703281,0.00029077815,0.00021245482],"domain_scores_gemma":[0.92705804,0.026751682,0.03983835,0.0011356173,0.0021758992,0.0030403347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025475237,0.00024464043,0.0003857314,0.0011293036,0.00025881923,0.0019353469,0.00033397693,0.0011597538,0.004746506],"category_scores_gemma":[0.025979545,0.00013999977,0.00044815324,0.00059189595,0.00052436866,0.0014389758,0.0008264289,0.0014552369,0.000988103],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009180856,0.000410496,0.97894603,0.00003405342,0.00018351822,0.00031385772,0.0003103855,0.0051514283,0.0023895795,0.0013244422,0.00076134043,0.009256716],"study_design_scores_gemma":[0.000023565011,0.0005125005,0.98534644,0.000009296808,0.000043690707,0.00013092616,0.00037767302,0.011238057,0.0009045034,0.0008160986,0.00056184287,0.000035401525],"about_ca_topic_score_codex":0.002544304,"about_ca_topic_score_gemma":0.0019098968,"teacher_disagreement_score":0.004746506,"about_ca_system_score_codex":0.0005660213,"about_ca_system_score_gemma":0.00018465758,"threshold_uncertainty_score":0.015878618},"labels":[],"label_agreement":null},{"id":"W3183464324","doi":"10.2139/ssrn.3648715","title":"Private Information Dissemination in the Secondary Loan Market","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Business; Information Dissemination; Loan; Private information retrieval; Secondary market; Financial system; Finance; World Wide Web; Computer science; Computer security","score_opus":0.009572237594274082,"score_gpt":0.19812617083765038,"score_spread":0.1885539332433763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183464324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8024636,0.0017793864,0.06041241,0.01583522,0.0001605926,0.00020656238,0.0010499812,0.0004608661,0.11763134],"genre_scores_gemma":[0.9907212,0.00024604533,0.00069973146,0.00010462972,0.000108879074,0.000015962536,0.00005789432,0.000017493268,0.008028047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981949,0.00086017064,0.000087084765,0.00022022877,0.0003130368,0.00032450445],"domain_scores_gemma":[0.95338744,0.032565147,0.0067270915,0.0028675674,0.0025227543,0.0019300183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00433587,0.00026229635,0.0010368441,0.0015073158,0.0010153039,0.00538911,0.00082145084,0.0026233017,0.025725555],"category_scores_gemma":[0.037761968,0.00040157748,0.0004973419,0.0014312385,0.001719626,0.0070837867,0.0015879642,0.0018746798,0.0023127606],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020558028,0.0007244449,0.019260567,0.00033523928,0.00010027231,0.0012027193,0.0017882804,0.032091673,0.0036294917,0.81987613,0.025235841,0.09369946],"study_design_scores_gemma":[0.00042343698,0.00027188318,0.010073258,0.00007302738,0.00007816708,0.00042804895,0.0007845712,0.15632804,0.00197908,0.8216159,0.0078789545,0.0000656142],"about_ca_topic_score_codex":0.002242215,"about_ca_topic_score_gemma":0.0012910204,"teacher_disagreement_score":0.025725555,"about_ca_system_score_codex":0.0015273192,"about_ca_system_score_gemma":0.001703873,"threshold_uncertainty_score":0.086060524},"labels":[],"label_agreement":null},{"id":"W3183977959","doi":"10.2139/ssrn.3718945","title":"When is the Price of Dispersion Risk Positive?","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; University of Calgary","funders":"","keywords":"Dispersion (optics); Business; Economics; Econometrics; Physics; Optics","score_opus":0.012565503165548535,"score_gpt":0.18965050626108987,"score_spread":0.17708500309554134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183977959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7639333,0.0046831737,0.015251836,0.087599285,0.0010896474,0.000041571293,0.00043009964,0.0001149424,0.12685616],"genre_scores_gemma":[0.9960496,0.0006437824,0.00034600325,0.0004962321,0.00046965692,0.000004938494,0.000025343134,0.000015205497,0.0019493629],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99949265,0.00011912301,0.000030239029,0.00010502999,0.00013813333,0.00011484707],"domain_scores_gemma":[0.9894042,0.00708052,0.0021456317,0.0002318259,0.0005476113,0.00059021526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013987422,0.00019244794,0.0005243666,0.00060589233,0.00045656564,0.003984255,0.000605006,0.0025711383,0.010665272],"category_scores_gemma":[0.025194354,0.0002541804,0.00025727268,0.00047745727,0.0019826253,0.004749438,0.00057714316,0.002174513,0.0012376928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014234061,0.0003550913,0.08076752,0.0006591439,0.0001686563,0.006088309,0.0014710948,0.0042335643,0.006946518,0.69819456,0.029195558,0.17049669],"study_design_scores_gemma":[0.00010893099,0.00012918492,0.04405564,0.00015948039,0.000068402755,0.0028484764,0.0029506974,0.010001287,0.0022373835,0.9278012,0.0095604835,0.00007878524],"about_ca_topic_score_codex":0.0010169181,"about_ca_topic_score_gemma":0.00069205184,"teacher_disagreement_score":0.010665272,"about_ca_system_score_codex":0.0007413324,"about_ca_system_score_gemma":0.0004807294,"threshold_uncertainty_score":0.035678864},"labels":[],"label_agreement":null},{"id":"W3184085869","doi":"10.2139/ssrn.3868966","title":"Algorithmic Trading and Market Quality: International Evidence of the Impact of Errors in Colocation Dates","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Quality (philosophy); Business; Economics; Econometrics; Financial economics; Computer science","score_opus":0.035395040273647635,"score_gpt":0.28871094568373096,"score_spread":0.2533159054100833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184085869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794541,0.0018819257,0.004847405,0.001427555,0.0000733503,0.000020309344,0.00075236586,0.000107194275,0.011435802],"genre_scores_gemma":[0.99812657,0.00029251413,0.0004927696,0.00006847564,0.00006712725,0.0000030116207,0.00030467054,0.000027910655,0.00061699556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99647176,0.0012687576,0.00042146913,0.00059428514,0.0009938972,0.000249852],"domain_scores_gemma":[0.72370183,0.17379543,0.07022631,0.023424212,0.0065518287,0.00230037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008210939,0.00028370236,0.00062858773,0.0019304143,0.0006259683,0.0059874803,0.0012799473,0.0018734408,0.00855689],"category_scores_gemma":[0.118932016,0.00043507258,0.00052329164,0.0035398973,0.0024853237,0.004448825,0.001788129,0.0020263446,0.0012964179],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028369355,0.0005717796,0.8402474,0.00030653618,0.0010838422,0.00048707175,0.0014124701,0.0413108,0.0012010634,0.03019204,0.0036067292,0.07674336],"study_design_scores_gemma":[0.00047351333,0.000546918,0.8282715,0.00020331325,0.0006320939,0.0008928936,0.0017839371,0.044217803,0.0030894459,0.1109569,0.008729558,0.00020208803],"about_ca_topic_score_codex":0.0032721846,"about_ca_topic_score_gemma":0.0018614127,"teacher_disagreement_score":0.00855689,"about_ca_system_score_codex":0.0006107413,"about_ca_system_score_gemma":0.00047216148,"threshold_uncertainty_score":0.04342413},"labels":[],"label_agreement":null},{"id":"W318412853","doi":"10.2139/ssrn.2550981","title":"Competition, Markups and Predictable Returns","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Competition (biology); Economics; Industrial organization; Returns to scale; Econometrics; Microeconomics; Financial economics; Production (economics)","score_opus":0.020112939101084915,"score_gpt":0.19739001701075873,"score_spread":0.1772770779096738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W318412853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93304724,0.0038383144,0.038181998,0.0038988742,0.000102006175,0.000027466584,0.00040938382,0.00016863362,0.020325962],"genre_scores_gemma":[0.99545836,0.00059687946,0.00062280305,0.000066399836,0.000095568445,0.0000072346047,0.00007523111,0.00000921979,0.0030683388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99937433,0.00018937985,0.000044939636,0.00012783018,0.00010763498,0.0001560114],"domain_scores_gemma":[0.9786266,0.013707243,0.0055115637,0.0006324887,0.0005396258,0.0009824673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023795576,0.00045309693,0.0010552447,0.0010676291,0.00059079204,0.0038585896,0.00075462926,0.002009791,0.009085552],"category_scores_gemma":[0.016845332,0.00050650607,0.0006042658,0.00096730195,0.0028621804,0.005021574,0.001069463,0.0015266009,0.00077200355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072592945,0.0003024219,0.04582202,0.00029403984,0.0002451558,0.0012234573,0.0004975651,0.09412926,0.0028694617,0.816192,0.005635721,0.03206308],"study_design_scores_gemma":[0.0001040951,0.00018153158,0.021111831,0.000034911212,0.00007196792,0.00027755462,0.00023321214,0.08894033,0.00045303913,0.8869692,0.0015427548,0.00007950512],"about_ca_topic_score_codex":0.0028930178,"about_ca_topic_score_gemma":0.003016056,"teacher_disagreement_score":0.009085552,"about_ca_system_score_codex":0.001084028,"about_ca_system_score_gemma":0.0007342576,"threshold_uncertainty_score":0.030394256},"labels":[],"label_agreement":null},{"id":"W3184843929","doi":"10.1093/rfs/hhab078","title":"Disagreement in the Equity Options Market and Stock Returns","year":2021,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Stock (firearms); Equity (law); Growth stock; Earnings; Economics; Financial economics; Stock market; Restricted stock; Monetary economics; Business; Econometrics; Finance; Geography","score_opus":0.10632884063220722,"score_gpt":0.32375630713065395,"score_spread":0.21742746649844674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184843929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99725085,0.00044400664,0.001145827,0.00015440064,0.000009765132,0.0000069547345,0.00029507856,0.000011401179,0.0006816921],"genre_scores_gemma":[0.99914813,0.000109587374,0.0001961905,0.000019066543,0.000017213019,0.000005126423,0.0003632262,0.0000027395781,0.00013862565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985483,0.00076382776,0.000109043205,0.00020179905,0.00027347295,0.000103603685],"domain_scores_gemma":[0.9703342,0.02080782,0.006181657,0.00084338296,0.00106626,0.000766643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050600898,0.00037223595,0.00057775184,0.0012371094,0.00028753286,0.001794523,0.00041259726,0.0010087447,0.0016911203],"category_scores_gemma":[0.03152343,0.00022860912,0.0004305343,0.001191108,0.0006005968,0.0013734539,0.00076737243,0.0008988917,0.00041014823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009162865,0.00048243324,0.928773,0.00012893749,0.00051071454,0.0002784654,0.0003635072,0.042252723,0.0015953992,0.005153198,0.0016379375,0.017907372],"study_design_scores_gemma":[0.00008727819,0.00030926664,0.7683486,0.00009433476,0.00014279869,0.00023053937,0.0004782154,0.2076618,0.001767488,0.019360133,0.0014562778,0.00006322842],"about_ca_topic_score_codex":0.0019627167,"about_ca_topic_score_gemma":0.0012917639,"teacher_disagreement_score":0.0050600898,"about_ca_system_score_codex":0.00049341726,"about_ca_system_score_gemma":0.00019906674,"threshold_uncertainty_score":0.026760638},"labels":[],"label_agreement":null},{"id":"W3184870465","doi":"10.2139/ssrn.3762092","title":"Term Structure of Equity and Bond Yields over Business Cycles","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; Bank of Canada","funders":"","keywords":"Dividend; Economics; Bond; Equity (law); Volatility (finance); Predictability; Econometrics; Financial economics; Monetary economics; Dividend yield; Yield curve; Equity premium puzzle; Capital asset pricing model; Interest rate; Dividend policy; Mathematics; Finance; Statistics","score_opus":0.015486574995475802,"score_gpt":0.2282089158368126,"score_spread":0.2127223408413368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184870465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887734,0.00082770374,0.0057807593,0.00044718236,0.000018074099,0.0000105981935,0.0013956265,0.00009211292,0.0026546756],"genre_scores_gemma":[0.995152,0.00035758817,0.0004866906,0.000027346689,0.000024933686,0.000008423643,0.0010544719,0.00003609553,0.002852477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974996,0.00006362012,0.00001902612,0.00006992209,0.000049151597,0.000048311693],"domain_scores_gemma":[0.9868088,0.008999917,0.0020631736,0.00042598898,0.0011037465,0.0005982683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002286626,0.00026477955,0.00043007042,0.001539545,0.00026731277,0.0012190952,0.0006519013,0.0010943683,0.0033859161],"category_scores_gemma":[0.015828617,0.000453914,0.0005092247,0.0014223218,0.00045477544,0.0015302927,0.0005322473,0.0009931452,0.00072454434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016457731,0.0002580843,0.5332524,0.0003212294,0.00070862495,0.0015437873,0.0010288794,0.27940688,0.024649639,0.08966222,0.007074336,0.060448058],"study_design_scores_gemma":[0.000036249643,0.00018957841,0.5305743,0.000067701425,0.00019680285,0.00064421317,0.0002748095,0.43080634,0.0016013095,0.033844497,0.0016698476,0.00009435327],"about_ca_topic_score_codex":0.0051742657,"about_ca_topic_score_gemma":0.006433136,"teacher_disagreement_score":0.0051742657,"about_ca_system_score_codex":0.00068480906,"about_ca_system_score_gemma":0.00029986698,"threshold_uncertainty_score":0.012093008},"labels":[],"label_agreement":null},{"id":"W3185148586","doi":"10.2139/ssrn.3890147","title":"Why is there so much side-by-side management in the ETF industry?","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Supply side; Demand side; Business; Far side of the Moon; Side effect (computer science); Great Rift; Side channel attack; Marketing; Operations management; Commerce; Computer science; Engineering; Economics; Computer security; Physics; Microeconomics","score_opus":0.01725901979657857,"score_gpt":0.2176936897471981,"score_spread":0.20043466995061954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185148586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4579613,0.005717423,0.03518426,0.2310619,0.0020902029,0.00021784607,0.0002987796,0.0005087369,0.26695958],"genre_scores_gemma":[0.95424974,0.0009545031,0.0030933435,0.018692492,0.00094109494,0.00006596644,0.00010165851,0.00008133945,0.021819776],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9924083,0.0015295396,0.00022243315,0.0011968403,0.0020020541,0.0026408574],"domain_scores_gemma":[0.972583,0.00719289,0.0033937593,0.0023126218,0.0059530414,0.008564776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008837287,0.00036049332,0.0005907107,0.0010165955,0.0031913177,0.0089693805,0.0016378709,0.0049630175,0.024301669],"category_scores_gemma":[0.019882005,0.00033155511,0.00067833107,0.0010272576,0.0038455052,0.0088764,0.0043605934,0.0049883155,0.0050755586],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074991945,0.001379322,0.10264844,0.0005072805,0.00024117442,0.0010555618,0.004650498,0.0030628326,0.004019862,0.30688772,0.10044791,0.47434944],"study_design_scores_gemma":[0.0003819701,0.001499093,0.15501548,0.0015553102,0.00021132406,0.0024474172,0.022942873,0.016681576,0.0059657595,0.49822173,0.29463026,0.00044724296],"about_ca_topic_score_codex":0.0036679774,"about_ca_topic_score_gemma":0.005317133,"teacher_disagreement_score":0.024301669,"about_ca_system_score_codex":0.0035339263,"about_ca_system_score_gemma":0.005550962,"threshold_uncertainty_score":0.08129722},"labels":[],"label_agreement":null},{"id":"W3185187001","doi":"10.2139/ssrn.3517226","title":"Dark Trading Regulations and Options Market Liquidity: Evidence from the Canadian Market","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dark liquidity; Business; Market liquidity; Algorithmic trading; Flash trading; Market microstructure; Market impact; High-frequency trading; Financial economics; Pairs trade; Alternative trading system; Monetary economics; Economics; Finance; Order (exchange)","score_opus":0.04013939176116283,"score_gpt":0.2157571426210036,"score_spread":0.17561775085984077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185187001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9648223,0.0030765468,0.0002177273,0.0027204172,0.00002428811,0.000039622737,0.0029267315,0.000021518445,0.026150871],"genre_scores_gemma":[0.9937447,0.0015734038,0.00009705208,0.0002074213,0.000023723285,0.00000533679,0.0011276532,0.00000949888,0.0032113453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924755,0.000054246648,0.000028212065,0.000075012664,0.00036971556,0.00022520598],"domain_scores_gemma":[0.9849688,0.00440588,0.004972867,0.0007331164,0.0034650848,0.0014541775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014214166,0.00029205365,0.00039809977,0.0020863763,0.0036016228,0.003473736,0.001167083,0.001008369,0.00842439],"category_scores_gemma":[0.012628242,0.00025258376,0.00038998455,0.0048818993,0.0024274266,0.0013224398,0.0007558445,0.0011778588,0.000428336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025101437,0.0005690799,0.85658056,0.00035214506,0.00034655465,0.00075983215,0.0066862493,0.0028226424,0.001543633,0.040623304,0.02603263,0.06117332],"study_design_scores_gemma":[0.00011713731,0.00004914633,0.980423,0.00006076459,0.00013825175,0.00006304445,0.0024109695,0.0011303407,0.0003579561,0.0024564029,0.012727442,0.00006551004],"about_ca_topic_score_codex":0.9793649,"about_ca_topic_score_gemma":0.9885733,"teacher_disagreement_score":0.020635128,"about_ca_system_score_codex":0.015742274,"about_ca_system_score_gemma":0.018812638,"threshold_uncertainty_score":0.11421871},"labels":[],"label_agreement":null},{"id":"W3185255092","doi":"10.2139/ssrn.3889826","title":"Pathwise Grid Valuation of Fixed-Income Portfolios with Applications to Risk Management","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Valuation (finance); Fixed income; Economics; Risk management; Grid; Econometrics; Actuarial science; Business; Financial economics; Mathematics; Finance","score_opus":0.014244795348936162,"score_gpt":0.21316077049155863,"score_spread":0.19891597514262246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185255092","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029634537,0.00035722554,0.9662792,0.00026495685,0.00006833815,0.00004023957,0.00009522258,0.00013298912,0.00312725],"genre_scores_gemma":[0.6817519,0.0012128016,0.3105043,0.00008091973,0.00015524139,0.00015570162,0.00032009868,0.00016696875,0.0056520887],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917275,0.0005477398,0.000035320398,0.00008721673,0.00011537833,0.00004152606],"domain_scores_gemma":[0.99447155,0.003915723,0.00042571645,0.00037462832,0.0005394568,0.00027300394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031985037,0.00076942716,0.0010311302,0.0014210742,0.00032776457,0.0018353306,0.0012586124,0.0009367285,0.0048763542],"category_scores_gemma":[0.015576173,0.00045236052,0.00059591146,0.0020705233,0.0011361663,0.0028664963,0.0018559977,0.00126499,0.0003336625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021431102,0.00009370872,0.0031946276,0.00009711824,0.000055125827,0.00020534584,0.0001306039,0.48987964,0.0007617292,0.40903163,0.0022600284,0.09407619],"study_design_scores_gemma":[0.000009066373,0.00002953401,0.00023484793,0.0000090066,0.0000048493634,0.00002834097,0.000012440219,0.8721015,0.00013482248,0.12696578,0.0004627633,0.0000070224723],"about_ca_topic_score_codex":0.0015034619,"about_ca_topic_score_gemma":0.0012917307,"teacher_disagreement_score":0.0048763542,"about_ca_system_score_codex":0.00071063347,"about_ca_system_score_gemma":0.00071330235,"threshold_uncertainty_score":0.0169155},"labels":[],"label_agreement":null},{"id":"W3185548984","doi":"10.24135/afl.v10i.432","title":"DO ECONOMIC FORECASTERS BELIEVE THE STOCK MARKET IS EFFICIENT? EVIDENCE FROM GERMANY","year":2021,"lang":"en","type":"article","venue":"Applied Finance Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"German; Stock market; Volatility (finance); Market efficiency; Economics; Market microstructure; Financial economics; Market depth; Stock market volatility; Business; Monetary economics; Order (exchange); Finance; Geography","score_opus":0.027950878969581087,"score_gpt":0.20873436112160584,"score_spread":0.18078348215202475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185548984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99487203,0.0006370666,0.00009096744,0.000951441,0.00001439951,0.000003826787,0.00038432822,0.0000026967725,0.0030432062],"genre_scores_gemma":[0.9989336,0.000449683,0.000021503469,0.000118932454,0.000011762227,0.0000016204966,0.00022772366,0.0000011219886,0.00023398954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989613,0.00033129082,0.00009163381,0.00015298606,0.00026245756,0.00020036571],"domain_scores_gemma":[0.9834946,0.0075930823,0.00658723,0.0006747919,0.0009645689,0.0006857312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031687792,0.00020514397,0.00022773498,0.0011774937,0.00023040344,0.001047202,0.00036958663,0.00059350417,0.0035669787],"category_scores_gemma":[0.012681095,0.00019711246,0.00019577416,0.001158643,0.0007266049,0.0008023779,0.00046434713,0.0004980894,0.00040553065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048903824,0.00014315284,0.9684544,0.00015305477,0.00031623506,0.00024712543,0.003457943,0.0005925357,0.000323119,0.0017803625,0.0032092582,0.020833785],"study_design_scores_gemma":[0.000018501876,0.000060738028,0.9958753,0.000054119704,0.000059197195,0.000058530633,0.0016204494,0.00032849296,0.0001615574,0.00017769467,0.0015756086,0.00000982524],"about_ca_topic_score_codex":0.024749653,"about_ca_topic_score_gemma":0.01898613,"teacher_disagreement_score":0.024749653,"about_ca_system_score_codex":0.0006228387,"about_ca_system_score_gemma":0.0003573152,"threshold_uncertainty_score":0.049211204},"labels":[],"label_agreement":null},{"id":"W3186283009","doi":"10.1177/23409444211024645","title":"Window dressing in the Active Share scores in publicly reported portfolios","year":2021,"lang":"en","type":"article","venue":"BRQ Business Research Quarterly","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Social Fund; European Regional Development Fund; European Commission","keywords":"Business; Tracking (education); Quarter (Canadian coin); Tracking error; Finance; Monetary economics; Economics; Computer science; Psychology; Artificial intelligence","score_opus":0.13700738240519292,"score_gpt":0.3225326314511923,"score_spread":0.1855252490459994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186283009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806184,0.000111199304,0.0006208218,0.00005297401,0.0000053061553,0.000005492423,0.000320958,0.000015159818,0.0008061645],"genre_scores_gemma":[0.99925905,0.000028738063,0.00016752272,0.000005595792,0.000007554301,0.0000027349458,0.0002184527,0.0000022532608,0.0003081746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999141,0.00020448082,0.00012661389,0.00017985991,0.00019360964,0.00015439969],"domain_scores_gemma":[0.96967983,0.013364017,0.014230245,0.0013336976,0.0007992247,0.0005930465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023718635,0.00020569023,0.00021868198,0.0013966224,0.00013778241,0.0013862362,0.0002886912,0.00056010694,0.0026897283],"category_scores_gemma":[0.027031107,0.00012712374,0.00021319998,0.0014469216,0.00037260074,0.0011387564,0.00073766825,0.000419334,0.00041502685],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033793636,0.00007267581,0.9690197,0.000026209114,0.00007120124,0.00016878449,0.0003133037,0.0025947164,0.0014655883,0.0016574318,0.0005263556,0.023746043],"study_design_scores_gemma":[0.000010145633,0.00011724269,0.9881719,0.000018260607,0.000035751887,0.00016639629,0.0003040771,0.0073939776,0.0015082253,0.0016156802,0.0006437301,0.000014610966],"about_ca_topic_score_codex":0.0016714695,"about_ca_topic_score_gemma":0.0013753015,"teacher_disagreement_score":0.0026897283,"about_ca_system_score_codex":0.00034362613,"about_ca_system_score_gemma":0.00013206666,"threshold_uncertainty_score":0.012543738},"labels":[],"label_agreement":null},{"id":"W3186667905","doi":"10.2139/ssrn.3890433","title":"International High-Frequency Arbitrage for Cross-Listed Stocks","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Arbitrage; Statistical arbitrage; Index arbitrage; Business; Fixed income arbitrage; Financial economics; Econometrics; Risk arbitrage; Economics; Finance; Capital asset pricing model; Arbitrage pricing theory","score_opus":0.018162847175924136,"score_gpt":0.24260534905973552,"score_spread":0.22444250188381137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186667905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815029,0.00094849634,0.009626284,0.00062928983,0.00006021841,0.000014295202,0.00019993212,0.000089993395,0.006928559],"genre_scores_gemma":[0.9983192,0.00009491974,0.00040971048,0.000013032876,0.000034626766,0.0000031854847,0.00013322291,0.0000071077397,0.0009848931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996093,0.00009861634,0.00004291355,0.00007713823,0.000078595316,0.000093434974],"domain_scores_gemma":[0.99360037,0.0036965236,0.0014558884,0.00046184892,0.00044249147,0.00034282947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019053927,0.00032972245,0.0003834374,0.0015780216,0.00036087993,0.0018555534,0.00048431716,0.0011522911,0.006706014],"category_scores_gemma":[0.015416459,0.0001737208,0.0004904561,0.00075168733,0.00039970526,0.0027962269,0.0009836452,0.0006798785,0.00050654175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002612563,0.00060571206,0.44709912,0.000516435,0.00091505994,0.006063464,0.0016802485,0.09621395,0.020706732,0.22964449,0.013534022,0.18040822],"study_design_scores_gemma":[0.00016898211,0.0005894082,0.3003976,0.00012252755,0.0003822694,0.002595945,0.0009802537,0.53284776,0.006910953,0.15076563,0.004085606,0.00015304075],"about_ca_topic_score_codex":0.001357691,"about_ca_topic_score_gemma":0.0014640953,"teacher_disagreement_score":0.006706014,"about_ca_system_score_codex":0.0004510975,"about_ca_system_score_gemma":0.00021806173,"threshold_uncertainty_score":0.022433817},"labels":[],"label_agreement":null},{"id":"W3186668515","doi":"","title":"Realized volatility, jump and beta: evidence from Canadian stock market","year":2020,"lang":"en","type":"preprint","venue":"UTAS Research Repository","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Jump; Volatility (finance); Economics; Econometrics; Stock (firearms); Stock exchange; Systematic risk; Financial economics; Stock market; Geography; Finance","score_opus":0.16421809856594882,"score_gpt":0.3215375333924947,"score_spread":0.15731943482654587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186668515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902042,0.001085172,0.00020287462,0.00043325365,0.0000072473026,0.000014026437,0.0032466704,0.000013508841,0.0047931205],"genre_scores_gemma":[0.9964515,0.000797074,0.00015560497,0.00003780999,0.000010513683,0.0000027679914,0.0018921708,0.000004280514,0.0006482023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921083,0.000037447604,0.00003237666,0.000084361316,0.0005142743,0.000120672725],"domain_scores_gemma":[0.99480647,0.0012549927,0.0009806535,0.00023311994,0.0022208586,0.0005039906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009029791,0.00023962972,0.00025451748,0.0021525885,0.0011139845,0.001204314,0.0006533565,0.00045196587,0.0021753563],"category_scores_gemma":[0.007962032,0.00015033844,0.00032337543,0.0042616813,0.0006727518,0.0005886668,0.0004963971,0.000461695,0.00018685238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020778751,0.000046183213,0.9723336,0.00011428939,0.0001354909,0.00021077706,0.0009408226,0.0008700021,0.0007307183,0.0015257752,0.0028453046,0.020039236],"study_design_scores_gemma":[0.0000058390033,0.0000109364755,0.9971637,0.000012413681,0.000029577635,0.000029501574,0.00030367586,0.00091741973,0.00016182844,0.00011451621,0.001236863,0.000013664638],"about_ca_topic_score_codex":0.97020984,"about_ca_topic_score_gemma":0.9781457,"teacher_disagreement_score":0.029790163,"about_ca_system_score_codex":0.0055138036,"about_ca_system_score_gemma":0.0065755406,"threshold_uncertainty_score":0.05993116},"labels":[],"label_agreement":null},{"id":"W3187312796","doi":"10.2139/ssrn.3890275","title":"Quants, Strategic Speculation, and Financial Market Quality","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Speculation; Business; Quality (philosophy); Finance; Financial system","score_opus":0.03373056704288493,"score_gpt":0.24039098528319888,"score_spread":0.20666041824031395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187312796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824687,0.0009502336,0.0071477406,0.0017627471,0.000035196725,0.00001593888,0.00030916466,0.000049817765,0.007260377],"genre_scores_gemma":[0.9991774,0.00012301368,0.00022633624,0.00002664349,0.000024841547,0.0000023199152,0.000054224995,0.0000038760563,0.0003614231],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995254,0.000187906,0.000054371965,0.000065858,0.0000995881,0.0000669267],"domain_scores_gemma":[0.9426246,0.039738435,0.010838321,0.00230698,0.0016229056,0.0028687322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048311907,0.00018768017,0.0005775999,0.0011755661,0.0004337454,0.0032024437,0.00039590753,0.001000563,0.008444109],"category_scores_gemma":[0.03954337,0.00024702316,0.00034902676,0.0009659956,0.001949648,0.0030895656,0.00110059,0.0012488026,0.00030058483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021523964,0.00055257184,0.62269425,0.00028882493,0.000588859,0.00049495953,0.0014154002,0.04046297,0.001985255,0.27857646,0.003309637,0.047478452],"study_design_scores_gemma":[0.00016800237,0.00041605064,0.29972458,0.000058315552,0.00014651331,0.0003227004,0.0011595426,0.08103277,0.0005139603,0.6149397,0.0014369491,0.00008104154],"about_ca_topic_score_codex":0.0012339748,"about_ca_topic_score_gemma":0.0010408643,"teacher_disagreement_score":0.008444109,"about_ca_system_score_codex":0.0006924024,"about_ca_system_score_gemma":0.00039478406,"threshold_uncertainty_score":0.02824831},"labels":[],"label_agreement":null},{"id":"W3188363996","doi":"10.2139/ssrn.3521013","title":"Market Sentiment and the Cross-section of Expected Stock Returns","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Financial economics; Stock (firearms); Economics; Stock market; Business; Monetary economics; Engineering; Geography","score_opus":0.017410090518937372,"score_gpt":0.21647410960423044,"score_spread":0.19906401908529306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188363996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947221,0.0005589836,0.0015877627,0.00035347033,0.000038041922,0.0000064780247,0.00035960178,0.000024828878,0.002348723],"genre_scores_gemma":[0.99822813,0.0002032208,0.000099153236,0.00003385211,0.00006441492,0.0000030176432,0.00037731478,0.0000079103775,0.0009830185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965155,0.00010771732,0.0000331634,0.000082205086,0.000059360154,0.00006603361],"domain_scores_gemma":[0.9844163,0.009320011,0.0037330103,0.000609584,0.0008272887,0.0010938151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002618408,0.00027242408,0.0003774918,0.0008473982,0.0001965811,0.001568091,0.00032722036,0.0009512201,0.0066337497],"category_scores_gemma":[0.014364225,0.00025258475,0.0004924299,0.00067194,0.0003663518,0.0011466291,0.00065016834,0.00095395424,0.0014571173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039906,0.00012054321,0.9746122,0.000042701507,0.0004494624,0.0003858499,0.00013381887,0.0058334824,0.0016757257,0.004183597,0.0013467646,0.010816642],"study_design_scores_gemma":[0.000019285773,0.00016324825,0.9690671,0.000024468363,0.00012210543,0.0004252451,0.00014040356,0.023737049,0.00041202176,0.0051248926,0.0007409764,0.000023190982],"about_ca_topic_score_codex":0.0013362487,"about_ca_topic_score_gemma":0.0014306695,"teacher_disagreement_score":0.0066337497,"about_ca_system_score_codex":0.0003488062,"about_ca_system_score_gemma":0.0001454136,"threshold_uncertainty_score":0.02219212},"labels":[],"label_agreement":null},{"id":"W3189526413","doi":"10.1287/mnsc.2021.4022","title":"Principal Trading Arrangements: When Are Common Contracts Optimal?","year":2021,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Stylized fact; Volume-weighted average price; Principal (computer security); Economics; Microeconomics; Finance; Financial economics; Business; Computer science; Market maker; Stock market","score_opus":0.04168900521117108,"score_gpt":0.23342553200242025,"score_spread":0.19173652679124917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189526413","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43123952,0.004181717,0.45482484,0.017708834,0.00022395096,0.00069349085,0.0010585773,0.00035009862,0.08971902],"genre_scores_gemma":[0.93623537,0.0014097962,0.05736498,0.00048743046,0.00016781459,0.00027110247,0.000307413,0.00012418936,0.003631804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9835603,0.0069348672,0.0016950021,0.003153048,0.0026093323,0.0020473804],"domain_scores_gemma":[0.9446655,0.030397685,0.011598137,0.005861962,0.0037158611,0.0037608065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015505889,0.0008838957,0.0032072894,0.0013974966,0.0018106997,0.0074931667,0.0022754332,0.0057437182,0.009264892],"category_scores_gemma":[0.08061353,0.0013075642,0.001085494,0.0021490834,0.0078113675,0.019620156,0.003319483,0.0049057943,0.0010080894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002515283,0.00021261397,0.0036080764,0.00022108566,0.00009945212,0.0001941678,0.0008507536,0.021107584,0.0006272827,0.93130946,0.002928542,0.03858939],"study_design_scores_gemma":[0.000097635995,0.000089556794,0.0012096568,0.000110581546,0.000026560838,0.00011169645,0.0007055048,0.028202672,0.0004164116,0.96536356,0.0036312344,0.000034767167],"about_ca_topic_score_codex":0.0017159636,"about_ca_topic_score_gemma":0.0023801348,"teacher_disagreement_score":0.015505889,"about_ca_system_score_codex":0.0027918306,"about_ca_system_score_gemma":0.0039591305,"threshold_uncertainty_score":0.08200401},"labels":[],"label_agreement":null},{"id":"W3189799769","doi":"","title":"Evidence for the Seasonality of European Equity Fund Performance","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Quarter (Canadian coin); Seasonality; Fund of funds; Closed-end fund; Economics; Investment (military); Business; Stock (firearms); Private equity fund; Monetary economics; Finance; Financial economics; Initial public offering; Geography; Political science","score_opus":0.11653582086230763,"score_gpt":0.284875752688342,"score_spread":0.16833993182603435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189799769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99607265,0.0007320453,0.0004798309,0.00013354114,0.000016132572,0.0000037651764,0.00038053183,0.000013933126,0.002167559],"genre_scores_gemma":[0.9991597,0.00013519387,0.000095342286,0.000017160997,0.000020594825,0.000001668021,0.00035485748,0.0000048395304,0.00021059597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933535,0.00013947547,0.00009919139,0.00019109833,0.0001220381,0.00011284483],"domain_scores_gemma":[0.99182117,0.0026901392,0.003768456,0.0007131991,0.0006543865,0.0003526644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021359976,0.00014639556,0.00024715767,0.0011684535,0.00010301063,0.00083877746,0.00021964134,0.00037812872,0.0016456853],"category_scores_gemma":[0.0079007335,0.000107149936,0.0002563706,0.0012239697,0.00026550432,0.00055441435,0.00056149345,0.00025509857,0.00026491666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027776547,0.00003813174,0.97646415,0.0000470096,0.00016553693,0.00015166869,0.00048064295,0.00067788176,0.0015036502,0.0007646077,0.0006547549,0.018774234],"study_design_scores_gemma":[0.0000023601833,0.000023978095,0.9985617,0.00000931087,0.00001952855,0.00006784427,0.00007871673,0.00034647383,0.0001513101,0.00017728028,0.000558734,0.000002829472],"about_ca_topic_score_codex":0.002105489,"about_ca_topic_score_gemma":0.0024575605,"teacher_disagreement_score":0.0021359976,"about_ca_system_score_codex":0.00023298629,"about_ca_system_score_gemma":0.00015439591,"threshold_uncertainty_score":0.011296332},"labels":[],"label_agreement":null},{"id":"W3190202976","doi":"10.2139/ssrn.3874756","title":"Market Feedback: Evidence from the Horse’s Mouth","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Horse; Business; Medicine; Biology","score_opus":0.02502223985678759,"score_gpt":0.21276260525234103,"score_spread":0.18774036539555344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190202976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93662643,0.0023660944,0.0012034178,0.0047168485,0.00018707967,0.00007938165,0.00058969244,0.000097447795,0.05413364],"genre_scores_gemma":[0.9947944,0.0006132243,0.00018874726,0.00063364446,0.00012786049,0.000014959922,0.00012585144,0.000026831987,0.0034743757],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992434,0.00026676056,0.000037098092,0.000113205766,0.00023166106,0.0001079527],"domain_scores_gemma":[0.9615652,0.028690355,0.0058620474,0.0012886644,0.0016216479,0.00097207044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023859253,0.00024107439,0.00050621113,0.0007036619,0.00056731486,0.001955718,0.0006432033,0.0024816922,0.030224537],"category_scores_gemma":[0.04220149,0.00025920372,0.00018771489,0.000556499,0.0011046713,0.002150415,0.0008953652,0.001136942,0.0024735853],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.021532964,0.004351606,0.33024395,0.0028821365,0.0006918351,0.003995073,0.015107525,0.0034739815,0.022890994,0.060107466,0.06997693,0.4647456],"study_design_scores_gemma":[0.002680659,0.003910213,0.81884205,0.0007921724,0.00089849764,0.001710996,0.010436537,0.013430875,0.009210268,0.06164017,0.07622916,0.00021834866],"about_ca_topic_score_codex":0.0034474535,"about_ca_topic_score_gemma":0.0021950472,"teacher_disagreement_score":0.030224537,"about_ca_system_score_codex":0.00051334105,"about_ca_system_score_gemma":0.00044077495,"threshold_uncertainty_score":0.101111114},"labels":[],"label_agreement":null},{"id":"W3190986197","doi":"10.2139/ssrn.3892335","title":"Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Bid price; Ask price; Estimation; Economics; Econometrics; Financial economics; Business; Monetary economics; Finance","score_opus":0.01129873397164792,"score_gpt":0.21644525490570893,"score_spread":0.205146520934061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190986197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38711962,0.0006650005,0.6080491,0.00040349094,0.000045432054,0.00005411855,0.00068562164,0.001173803,0.0018038522],"genre_scores_gemma":[0.9062599,0.00022129218,0.090073556,0.00003928682,0.00009169118,0.000042815496,0.0015282031,0.00009663134,0.0016466052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908054,0.00046568748,0.00006677383,0.0001240785,0.00017450795,0.000088393565],"domain_scores_gemma":[0.9875235,0.010576584,0.00062192424,0.00049255433,0.0005061496,0.00027927614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021385816,0.0006726499,0.0012170457,0.0013095832,0.00027180894,0.0020221246,0.001015096,0.0013030134,0.002498827],"category_scores_gemma":[0.018670036,0.00087315467,0.00061680697,0.000972285,0.00032712554,0.0016746537,0.0013060861,0.0014214591,0.0009105067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020749124,0.00036178593,0.032814145,0.00026059407,0.0004366367,0.00029696478,0.00021928479,0.73517096,0.011598694,0.019503208,0.002856912,0.19440591],"study_design_scores_gemma":[0.000026193686,0.000029276787,0.002928144,0.0000043672126,0.000014432634,0.00003587939,0.000013326839,0.98982155,0.0014113378,0.005560873,0.00014236514,0.000012276569],"about_ca_topic_score_codex":0.002792517,"about_ca_topic_score_gemma":0.002622335,"teacher_disagreement_score":0.002792517,"about_ca_system_score_codex":0.000386706,"about_ca_system_score_gemma":0.00089328096,"threshold_uncertainty_score":0.011310041},"labels":[],"label_agreement":null},{"id":"W3191091484","doi":"10.1111/1475-679x.12394","title":"How is Earnings News Transmitted to Stock Prices?","year":2021,"lang":"en","type":"article","venue":"Journal of Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; HEC Montréal","funders":"","keywords":"Price discovery; Earnings; Economics; Ask price; Stock (firearms); Financial economics; Monetary economics; Stock price; Econometrics; Business; Finance","score_opus":0.08066906067668349,"score_gpt":0.3073220300231905,"score_spread":0.22665296934650697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191091484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98130405,0.0009785399,0.004934685,0.002004738,0.00013685324,0.00002474874,0.00038999727,0.0001297757,0.010096605],"genre_scores_gemma":[0.99804866,0.0003383875,0.0004807727,0.00007615981,0.00011172497,0.0000042042852,0.00011016542,0.000018765513,0.0008111713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990515,0.00022856193,0.00008594965,0.0001419337,0.0003646997,0.00012732614],"domain_scores_gemma":[0.96209097,0.02318987,0.009502566,0.001519606,0.0029937015,0.0007032734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019967451,0.00023471181,0.00035742627,0.0012315331,0.00027589657,0.0029661113,0.00031903415,0.0008270761,0.0033332712],"category_scores_gemma":[0.04874542,0.0004568212,0.0002156334,0.0009800708,0.0004693911,0.0031568424,0.00057258474,0.0010554092,0.00088823517],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018633327,0.00047739266,0.6990425,0.00031326336,0.00038712937,0.0012586153,0.0021364528,0.0139327785,0.02966532,0.018593043,0.005271498,0.22705863],"study_design_scores_gemma":[0.000081794475,0.00044061337,0.9192491,0.00012497958,0.00017488854,0.00042834316,0.0014243983,0.04286139,0.011093653,0.019274335,0.0047225244,0.00012412932],"about_ca_topic_score_codex":0.0028239703,"about_ca_topic_score_gemma":0.0012806954,"teacher_disagreement_score":0.0033332712,"about_ca_system_score_codex":0.0005146212,"about_ca_system_score_gemma":0.00038112528,"threshold_uncertainty_score":0.011150897},"labels":[],"label_agreement":null},{"id":"W3191667403","doi":"","title":"Exposition of Evidence for Idiosyncratic versus Induced Seasonality in ETF Performance","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Quarter (Canadian coin); Index (typography); Econometrics; Portfolio; Stock market index; Benchmark (surveying); Stock exchange; Replicate; Economics; Financial economics; Stock market; Statistics; Finance; Geography; Computer science; Mathematics","score_opus":0.11719285386375741,"score_gpt":0.28523022815185267,"score_spread":0.16803737428809526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191667403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779926,0.0005654893,0.004098249,0.00054223405,0.000035622543,0.00003941473,0.0012869636,0.0000827083,0.015356654],"genre_scores_gemma":[0.99813277,0.00008307243,0.00048342042,0.000061662766,0.000028543302,0.000013214453,0.00040168926,0.0000115890625,0.0007840606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982351,0.00048320193,0.00018496324,0.0004278795,0.00046515276,0.00020364068],"domain_scores_gemma":[0.9635943,0.020136347,0.010592765,0.0036061078,0.0012345891,0.0008357512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032046987,0.00017532981,0.00023951552,0.0013769036,0.00024772578,0.00111885,0.0004724447,0.0005221743,0.0072974805],"category_scores_gemma":[0.016843826,0.00013618209,0.00051475834,0.0017033225,0.00066374324,0.0006464207,0.0008948543,0.0007884695,0.00052518095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050009805,0.0002770374,0.9467329,0.00013895633,0.00034165508,0.00039366097,0.0007576639,0.0018465401,0.0049459375,0.009235241,0.0015687271,0.033261634],"study_design_scores_gemma":[0.000010784121,0.0002828734,0.9919429,0.000024992372,0.00006604021,0.00014693105,0.0002832843,0.001930993,0.00084922375,0.0023086278,0.0021428906,0.000010408837],"about_ca_topic_score_codex":0.0014048952,"about_ca_topic_score_gemma":0.0022061928,"teacher_disagreement_score":0.0072974805,"about_ca_system_score_codex":0.00039513307,"about_ca_system_score_gemma":0.00036607895,"threshold_uncertainty_score":0.024412513},"labels":[],"label_agreement":null},{"id":"W3192831667","doi":"10.2139/ssrn.3874582","title":"Closet Active Management of Passive Funds","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Closet; Passive management; Business; Telecommunications; Finance; Computer science; Engineering; Fund of funds","score_opus":0.01472623531983199,"score_gpt":0.21179095948418677,"score_spread":0.19706472416435478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192831667","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24333316,0.005992315,0.14898574,0.010138455,0.0027796673,0.00046325644,0.0010061437,0.00322507,0.58407617],"genre_scores_gemma":[0.8933737,0.0007734365,0.0094841365,0.00059446594,0.0013249535,0.00012174864,0.00042914617,0.00025060202,0.09364768],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.998359,0.00038680388,0.00009944684,0.00026517743,0.0006391523,0.00025035578],"domain_scores_gemma":[0.99413526,0.0014445632,0.0012946147,0.0012818947,0.0010344473,0.0008091419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024446482,0.0003402879,0.00048061527,0.0011172886,0.00090350915,0.0066778827,0.0014136235,0.0018117134,0.029631874],"category_scores_gemma":[0.013100998,0.00022185614,0.00042833338,0.00092043815,0.00063756877,0.0043100403,0.0024414558,0.0017189999,0.0055334195],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009865358,0.00045515285,0.0072112754,0.00032361812,0.00008472675,0.00065344915,0.0008339172,0.004624398,0.0051831636,0.31798354,0.058036998,0.6036232],"study_design_scores_gemma":[0.00052840915,0.001580835,0.011928917,0.00041685335,0.00018469885,0.0026282854,0.0006762179,0.06262748,0.015249244,0.3945693,0.50950503,0.000104748506],"about_ca_topic_score_codex":0.00038361803,"about_ca_topic_score_gemma":0.0003920199,"teacher_disagreement_score":0.029631874,"about_ca_system_score_codex":0.00084747287,"about_ca_system_score_gemma":0.0014366562,"threshold_uncertainty_score":0.099128544},"labels":[],"label_agreement":null},{"id":"W3193327356","doi":"","title":"Not all price endings are created equal: Price points and asymmetric price rigidity","year":2020,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"LG Display","keywords":"Economics; Mid price; Rigidity (electromagnetism); Inflation (cosmology); Incomes policy; Relative price; Limit price; Price level; Monetary economics; Database transaction; Reservation price; Microeconomics","score_opus":0.07296604489770342,"score_gpt":0.28066942790036226,"score_spread":0.20770338300265884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193327356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89258635,0.00034279688,0.054552298,0.0013201794,0.000090301815,0.000047502283,0.00030875107,0.0001788218,0.050572887],"genre_scores_gemma":[0.99437296,0.000059308568,0.0041595055,0.00010411828,0.0000375006,0.000013310245,0.000095347146,0.000048720158,0.0011093278],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9970131,0.00078961015,0.00029428405,0.0005444381,0.00096494425,0.0003936184],"domain_scores_gemma":[0.97072923,0.01075648,0.0097432025,0.0057156743,0.0020010073,0.0010543974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024473171,0.000267593,0.0006850665,0.0009469863,0.001132916,0.003873567,0.001081434,0.0015374508,0.009054793],"category_scores_gemma":[0.032722045,0.0006524234,0.00057122315,0.0011581823,0.0026787962,0.006187158,0.0018069416,0.0028927235,0.001572162],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049685645,0.0006775887,0.11702794,0.0004024662,0.000347118,0.0035057776,0.0071836025,0.022195704,0.026235206,0.65398693,0.0055401553,0.15792897],"study_design_scores_gemma":[0.00031109626,0.00039166992,0.1663545,0.00013826104,0.00014007866,0.003243191,0.0030237492,0.059701156,0.008654024,0.74367136,0.014142108,0.00022876493],"about_ca_topic_score_codex":0.0009065588,"about_ca_topic_score_gemma":0.00054418395,"teacher_disagreement_score":0.009054793,"about_ca_system_score_codex":0.00082627224,"about_ca_system_score_gemma":0.00046874117,"threshold_uncertainty_score":0.03029126},"labels":[],"label_agreement":null},{"id":"W3193684273","doi":"10.3390/jrfm14090394","title":"Market Liquidity and Its Dimensions: Linking the Liquidity Dimensions to Sentiment Analysis through Microblogging Data","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Microblogging; Business; Liquidity risk; Liquidity crisis; Social media; Market impact; Financial economics; Pessimism; Monetary economics; Economics; Financial system; Market microstructure; Finance; Order (exchange); Computer science","score_opus":0.037752544515030954,"score_gpt":0.24461477366742193,"score_spread":0.20686222915239097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193684273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932007,0.00043799335,0.00224261,0.00030372347,0.000011492876,0.00002884964,0.0006581084,0.00001671652,0.003099757],"genre_scores_gemma":[0.9986212,0.000119912605,0.0007299051,0.000016023972,0.000025443653,0.0000073429173,0.00023923504,0.000002282405,0.00023852903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994029,0.0002023834,0.00006996785,0.0000627846,0.00020299635,0.00005899665],"domain_scores_gemma":[0.99372923,0.0025873266,0.0025340007,0.00019935676,0.0006877353,0.00026225654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001130108,0.00022528032,0.00025958358,0.0026851834,0.00025336572,0.0018755526,0.00016533307,0.0004041512,0.0017282622],"category_scores_gemma":[0.007434553,0.0001281115,0.00028405743,0.0019880712,0.00032745814,0.0017458402,0.00079161715,0.0005462882,0.00025031107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028265658,0.00011915816,0.9584697,0.0001055856,0.00020276174,0.00019820743,0.00064065185,0.0018064084,0.0035544925,0.0020423213,0.0005561341,0.032021943],"study_design_scores_gemma":[0.0000098264645,0.00013404153,0.97471935,0.00005796992,0.00006783365,0.0001436289,0.0008025081,0.019094706,0.0014422206,0.002218153,0.0012790692,0.000030674993],"about_ca_topic_score_codex":0.0032343762,"about_ca_topic_score_gemma":0.0029017502,"teacher_disagreement_score":0.0032343762,"about_ca_system_score_codex":0.00039843578,"about_ca_system_score_gemma":0.00026263492,"threshold_uncertainty_score":0.0064311028},"labels":[],"label_agreement":null},{"id":"W3194356275","doi":"10.2139/ssrn.3363056","title":"Filing Speed, Information Leakage, and Price Formation","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Leakage (economics); Information leakage; Business; Monetary economics; Computer science; Economics; Computer security; Keynesian economics","score_opus":0.009360346654800279,"score_gpt":0.18532199539848973,"score_spread":0.17596164874368944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194356275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98463446,0.0003731575,0.008209168,0.00069110823,0.000043895023,0.000025024518,0.00023269902,0.00013625571,0.005654233],"genre_scores_gemma":[0.9980829,0.00008582031,0.0007586784,0.000025700343,0.000050813796,0.000003927962,0.00010825512,0.000022349297,0.00086162164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975061,0.0006282324,0.00039521165,0.00038721217,0.0006466086,0.00043661855],"domain_scores_gemma":[0.8037443,0.12736888,0.047279403,0.0117864385,0.007085588,0.0027353372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067106835,0.0002294389,0.00062243274,0.0018552534,0.0006742171,0.0055319658,0.0007717531,0.0014754576,0.01069741],"category_scores_gemma":[0.12424882,0.00040932177,0.00035359195,0.0019015968,0.0010356496,0.006257484,0.0012702624,0.0017761514,0.001685769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005488092,0.0021938796,0.7011697,0.0002417612,0.00040463585,0.0012142318,0.0027688628,0.026672289,0.013354629,0.047394365,0.0063784528,0.19271916],"study_design_scores_gemma":[0.0003456155,0.0016802343,0.6797401,0.00013359527,0.00051267055,0.002175337,0.003006377,0.1602735,0.018354371,0.12797283,0.005485788,0.00031952973],"about_ca_topic_score_codex":0.00092584,"about_ca_topic_score_gemma":0.00058302,"teacher_disagreement_score":0.01069741,"about_ca_system_score_codex":0.00076066516,"about_ca_system_score_gemma":0.00056922954,"threshold_uncertainty_score":0.03578645},"labels":[],"label_agreement":null},{"id":"W3195051254","doi":"10.5430/afr.v10n3p93","title":"Liquidity of Tunisian Stock Market: A Panel Var Estimation","year":2021,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Econometrics; Volatility (finance); Stock exchange; Panel data; Impulse response; Economics; Stock (firearms); Stock market; Market maker; Financial economics; Monetary economics; Business; Finance; Mathematics; Geography","score_opus":0.11061954650099587,"score_gpt":0.3067161177284184,"score_spread":0.19609657122742252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195051254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863746,0.0006054204,0.009704725,0.0003676905,0.000026665262,0.00002822837,0.0015738703,0.00011627919,0.0012024203],"genre_scores_gemma":[0.9925014,0.00020552338,0.0030278845,0.00005459717,0.00006160248,0.000030306403,0.0028301503,0.000008155761,0.0012802476],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955136,0.00020493777,0.000021211807,0.000105218125,0.000036517995,0.00008080104],"domain_scores_gemma":[0.9989768,0.0005580084,0.00019488444,0.000099476696,0.00012418801,0.000046620145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016698138,0.0005804631,0.0006423977,0.0011507098,0.0003768832,0.0011571969,0.0006857442,0.0008020828,0.0029377006],"category_scores_gemma":[0.0025378524,0.0003027049,0.0010202248,0.000978214,0.00019662929,0.00068383594,0.0005999188,0.00084152224,0.00039318576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009483889,0.000697001,0.56295025,0.00015096163,0.0018595471,0.0013828381,0.00042277068,0.34464866,0.0045358725,0.00617034,0.006026358,0.07020699],"study_design_scores_gemma":[0.00007100391,0.00016488228,0.13634613,0.000038916503,0.0002538626,0.00008387859,0.0002079804,0.85915244,0.0008086849,0.00117791,0.0016541124,0.000040193914],"about_ca_topic_score_codex":0.04830562,"about_ca_topic_score_gemma":0.024509676,"teacher_disagreement_score":0.04830562,"about_ca_system_score_codex":0.0005682498,"about_ca_system_score_gemma":0.00050540117,"threshold_uncertainty_score":0.09604889},"labels":[],"label_agreement":null},{"id":"W3195728105","doi":"10.2139/ssrn.3578104","title":"CEO Turnover Announcements and Information Frictions","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business","score_opus":0.011058407578014134,"score_gpt":0.19847104981494493,"score_spread":0.1874126422369308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195728105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98845017,0.001300818,0.00080786,0.0025353488,0.00008837757,0.000027542688,0.0005789377,0.000045350534,0.0061655673],"genre_scores_gemma":[0.99868876,0.0001234636,0.00004156679,0.00006168234,0.000062235464,0.000003689959,0.00016871082,0.0000042764736,0.0008456842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978314,0.0005413749,0.00023648515,0.00027199608,0.00042430824,0.0006944312],"domain_scores_gemma":[0.85759836,0.08193953,0.0482057,0.0032417083,0.0029573468,0.006057285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006027937,0.00021136558,0.0007220213,0.0014668816,0.00058961805,0.0042812238,0.0005207853,0.0020518524,0.012615395],"category_scores_gemma":[0.10154924,0.00040428934,0.00035201904,0.0015105061,0.00055022835,0.0023655724,0.00094649475,0.0024018541,0.0012514187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046387496,0.0017909505,0.9164218,0.00022231115,0.00027674012,0.0009377125,0.0012570234,0.008911361,0.0011652183,0.01154707,0.011215278,0.04161581],"study_design_scores_gemma":[0.00029123618,0.0006102142,0.95856243,0.00011664005,0.0002300638,0.00058251905,0.0021773502,0.022065338,0.00049191475,0.011364964,0.0034237541,0.000083527586],"about_ca_topic_score_codex":0.003382653,"about_ca_topic_score_gemma":0.0033244637,"teacher_disagreement_score":0.012615395,"about_ca_system_score_codex":0.0010816766,"about_ca_system_score_gemma":0.0008147338,"threshold_uncertainty_score":0.04220265},"labels":[],"label_agreement":null},{"id":"W3196325759","doi":"10.3390/jrfm14090409","title":"A Balanced Portfolio Can Have a Higher Geometric Return Than the Risky Asset","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Bond; Stock (firearms); Rate of return on a portfolio; Economics; Capital asset pricing model; Expected return; Risk premium; Modern portfolio theory; Outlier; Financial economics; Econometrics; Market portfolio; Finance; Mathematics; Statistics","score_opus":0.015029241176740864,"score_gpt":0.2018562538332095,"score_spread":0.18682701265646862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196325759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96865505,0.0010211632,0.021190116,0.0004904159,0.000032427128,0.000019641242,0.00017965976,0.000080391656,0.008331134],"genre_scores_gemma":[0.9967982,0.00041651216,0.0017131364,0.000042727544,0.00002360564,0.000008181592,0.000112122616,0.000008697872,0.0008767135],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996269,0.00009504716,0.000028025317,0.00006721161,0.00011477062,0.000068050984],"domain_scores_gemma":[0.99549735,0.0023695775,0.0015596361,0.00022760051,0.00017312012,0.00017275513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017117937,0.00045049613,0.00044861162,0.00077962974,0.00029560042,0.0019337465,0.00025565934,0.0007944002,0.003506908],"category_scores_gemma":[0.0094805,0.00016865775,0.00035366238,0.0008480234,0.00064360374,0.0022632095,0.00070444494,0.0004532376,0.0004334226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007998815,0.00045834616,0.4126743,0.00025347254,0.0005279596,0.0018827475,0.00058101985,0.08785638,0.014191256,0.2688888,0.004408061,0.20747782],"study_design_scores_gemma":[0.00021057916,0.0019362902,0.36903268,0.00021054503,0.00035182064,0.0020946434,0.001216577,0.17156228,0.013083664,0.41751522,0.022583628,0.00020214808],"about_ca_topic_score_codex":0.00087306736,"about_ca_topic_score_gemma":0.0010222105,"teacher_disagreement_score":0.003506908,"about_ca_system_score_codex":0.00060939434,"about_ca_system_score_gemma":0.00026878787,"threshold_uncertainty_score":0.011731744},"labels":[],"label_agreement":null},{"id":"W3197049402","doi":"10.2139/ssrn.1362054","title":"Idiosyncratic Risk and the Cross-Section of Realized Returns","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Section (typography); Systematic risk; Economics; Financial economics; Econometrics; Business; Advertising","score_opus":0.010013627581066498,"score_gpt":0.21743862005904047,"score_spread":0.20742499247797397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197049402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9654726,0.0014053597,0.029717155,0.0007564177,0.000032463708,0.00001675472,0.00019820222,0.00009954265,0.0023015675],"genre_scores_gemma":[0.9965798,0.00057310925,0.0007755166,0.000040377814,0.00006638487,0.000009969869,0.00018829496,0.000021222977,0.0017452518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989039,0.00041329002,0.00007976815,0.00024704527,0.00014872383,0.00020728917],"domain_scores_gemma":[0.9485115,0.040094476,0.0055013173,0.0032024856,0.001171878,0.0015184504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075562648,0.0005711583,0.0008792028,0.0016145855,0.00039718038,0.0029661423,0.0010152493,0.0019088881,0.0062317015],"category_scores_gemma":[0.034145784,0.0008138892,0.0009791469,0.001439838,0.0016554373,0.003662438,0.0017517563,0.0019853124,0.0010135884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012871417,0.00040115995,0.5246065,0.00021710205,0.0018031886,0.0023952518,0.001571015,0.17236425,0.0053816945,0.23685558,0.0030181604,0.05009894],"study_design_scores_gemma":[0.00009031678,0.0004532952,0.38515803,0.0000839857,0.00043894688,0.0018842395,0.0007611934,0.3281027,0.0019317181,0.2792278,0.0016612757,0.00020647726],"about_ca_topic_score_codex":0.0013283385,"about_ca_topic_score_gemma":0.0012594201,"teacher_disagreement_score":0.0075562648,"about_ca_system_score_codex":0.00068817247,"about_ca_system_score_gemma":0.00033749788,"threshold_uncertainty_score":0.039961815},"labels":[],"label_agreement":null},{"id":"W3197162797","doi":"10.2139/ssrn.3907560","title":"The Strategic Use of 13F Restatement by Hedge Funds","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hedge fund; Business; Alternative beta; Accounting; Institutional investor; Actuarial science; Finance; Open-end fund; Corporate governance","score_opus":0.042259039987418645,"score_gpt":0.2261508800735633,"score_spread":0.18389184008614465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197162797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78609866,0.0017158618,0.019104121,0.0024312052,0.00013978977,0.000076918506,0.00015660295,0.00020842164,0.1900684],"genre_scores_gemma":[0.9942088,0.000088348934,0.0007727804,0.000071544564,0.000023278875,0.0000072003745,0.000028521086,0.000009367319,0.004790171],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982204,0.0005258709,0.00010311287,0.0002444911,0.0004252378,0.00048079787],"domain_scores_gemma":[0.99463886,0.0016581122,0.0012929052,0.0010193232,0.00095946103,0.00043133416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033497214,0.00039061357,0.00042874968,0.000834957,0.0009828719,0.003990303,0.0010353018,0.0029014824,0.0055572856],"category_scores_gemma":[0.013932704,0.00018203408,0.00048454324,0.00056729076,0.00067471206,0.0025375625,0.001611523,0.0009054737,0.0010493951],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036214094,0.00054715737,0.06950617,0.0002464942,0.0003960606,0.00269549,0.0026882554,0.018583113,0.020022491,0.54921335,0.0125353355,0.31994468],"study_design_scores_gemma":[0.0005339984,0.0034929516,0.16656576,0.00043440438,0.00081135175,0.0040548365,0.0060021887,0.1244602,0.05961634,0.46147463,0.17223153,0.00032184593],"about_ca_topic_score_codex":0.0018778999,"about_ca_topic_score_gemma":0.002200203,"teacher_disagreement_score":0.0055572856,"about_ca_system_score_codex":0.0015037525,"about_ca_system_score_gemma":0.0011327313,"threshold_uncertainty_score":0.018590987},"labels":[],"label_agreement":null},{"id":"W3197494108","doi":"10.2139/ssrn.3917998","title":"Value of Internally Generated Intangible Capital","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Value (mathematics); Business; Economics; Mathematics; Statistics","score_opus":0.011839601630931252,"score_gpt":0.20044111861927552,"score_spread":0.18860151698834426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197494108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84875363,0.002372301,0.043400005,0.0016295802,0.00019820983,0.000029497307,0.00073827774,0.00010137093,0.102777176],"genre_scores_gemma":[0.994313,0.00035785566,0.0009029037,0.000018827568,0.000037989885,0.0000048402653,0.00008034218,0.000011773971,0.004272475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99978155,0.00005173809,0.000009903945,0.000029131555,0.000084884414,0.000042802854],"domain_scores_gemma":[0.99658704,0.0020521397,0.00039410248,0.0002741632,0.00046465945,0.00022791137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064811687,0.00025321913,0.00023084806,0.0008674217,0.00019006306,0.002667207,0.00055386877,0.0007939647,0.0041323253],"category_scores_gemma":[0.006542677,0.0001228524,0.00020709788,0.0007470865,0.0007823883,0.0028787479,0.00051456725,0.00082740164,0.00033441596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023991869,0.00015187489,0.013864848,0.00016151251,0.00007786896,0.0007560635,0.00029399843,0.048838947,0.0060775257,0.875057,0.0018931336,0.05258726],"study_design_scores_gemma":[0.000017091586,0.00015824367,0.02231366,0.00012936514,0.000063277526,0.0006855468,0.00043664718,0.06088905,0.0056573986,0.9008264,0.0087818215,0.000041457904],"about_ca_topic_score_codex":0.00028174248,"about_ca_topic_score_gemma":0.00033092542,"teacher_disagreement_score":0.0041323253,"about_ca_system_score_codex":0.0010583794,"about_ca_system_score_gemma":0.00051358994,"threshold_uncertainty_score":0.013824046},"labels":[],"label_agreement":null},{"id":"W3197801254","doi":"10.2139/ssrn.3777332","title":"NOTE: An Equilibrium Asset Pricing Model for Stocks and Bonds under Growth and Inflation Risks","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CARE Canada; University of Toronto","funders":"","keywords":"Economics; Bond; Inflation (cosmology); Capital asset pricing model; Financial economics; Asset (computer security); Monetary economics; General equilibrium theory; Econometrics; Macroeconomics; Finance","score_opus":0.048887097701114796,"score_gpt":0.25843494840510917,"score_spread":0.20954785070399437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197801254","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07632105,0.0020060646,0.6803687,0.034888707,0.0033241678,0.0003305302,0.008916353,0.0014150332,0.19242941],"genre_scores_gemma":[0.75230455,0.0018302401,0.05851928,0.0020394414,0.0012421153,0.00028980983,0.0025809552,0.00024477975,0.1809489],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998661,0.000030334513,0.000007977243,0.00003057415,0.00004640408,0.000018590126],"domain_scores_gemma":[0.99968004,0.00011441848,0.000036123332,0.000029187828,0.00010597906,0.000034259352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004021441,0.000473645,0.00046392196,0.0002554079,0.0003803826,0.0010977545,0.00095794164,0.0021652118,0.03424429],"category_scores_gemma":[0.0019325782,0.00026788836,0.0005877169,0.0004426999,0.00038166414,0.0018044508,0.00053964264,0.0017674287,0.0042333417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008890852,0.000062721745,0.0012313504,0.00008796241,0.0000426314,0.0004798229,0.00011337268,0.17437543,0.0019437433,0.7451675,0.05649489,0.019911641],"study_design_scores_gemma":[0.000107036416,0.00004518647,0.0009061066,0.00001797301,0.000034359142,0.00020136738,0.00003343638,0.6556736,0.0007739844,0.31201068,0.030157898,0.00003837011],"about_ca_topic_score_codex":0.00894177,"about_ca_topic_score_gemma":0.005721188,"teacher_disagreement_score":0.03424429,"about_ca_system_score_codex":0.00057704275,"about_ca_system_score_gemma":0.0007829126,"threshold_uncertainty_score":0.11455858},"labels":[],"label_agreement":null},{"id":"W3197833482","doi":"10.2139/ssrn.3908292","title":"Factor-targeted Asset Allocation: a Reverse Optimization Approach","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; CARE Canada","funders":"","keywords":"Asset allocation; Factor (programming language); Computer science; Mathematical optimization; Econometrics; Economics; Mathematics; Financial economics; Portfolio","score_opus":0.020461055032802638,"score_gpt":0.20586236408556294,"score_spread":0.1854013090527603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197833482","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062233773,0.00031767506,0.98603463,0.0002735098,0.000062764564,0.00005574533,0.000057370034,0.00014081964,0.006834016],"genre_scores_gemma":[0.549624,0.0011659048,0.4212696,0.00062963605,0.00037396242,0.0004562169,0.00028992674,0.0005774257,0.025613297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992964,0.00039174242,0.000021576843,0.00009776233,0.00011049877,0.000081880884],"domain_scores_gemma":[0.99832994,0.00115196,0.00012749228,0.00009068094,0.0002283165,0.00007168706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002269694,0.0019778851,0.0027371778,0.0011245775,0.00039378798,0.0019134232,0.0018449208,0.002854545,0.0073479684],"category_scores_gemma":[0.0054609706,0.0013683431,0.0019364782,0.0012273191,0.0010387982,0.0018742719,0.0015928608,0.0016420401,0.0009916127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049890994,0.000035234236,0.00012554131,0.00006698122,0.000067234534,0.000059426802,0.000023586575,0.96255875,0.00044197956,0.023423737,0.0014588116,0.011688744],"study_design_scores_gemma":[0.00001081036,0.00001572898,0.00002638106,0.000006384899,0.00001613125,0.000012478656,0.0000045370457,0.9899832,0.00008020598,0.009477418,0.00036229516,0.0000043858454],"about_ca_topic_score_codex":0.0056528873,"about_ca_topic_score_gemma":0.0031209935,"teacher_disagreement_score":0.0073479684,"about_ca_system_score_codex":0.0010621839,"about_ca_system_score_gemma":0.0017758954,"threshold_uncertainty_score":0.024581432},"labels":[],"label_agreement":null},{"id":"W3197872087","doi":"10.3390/jrfm14090432","title":"Time-Varying Risk and the Relation between Idiosyncratic Risk and Stock Return","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Systematic risk; Stock (firearms); Economics; Econometrics; Risk–return spectrum; Financial economics; Stock market; Expected return; Geography; Portfolio","score_opus":0.012861200392337086,"score_gpt":0.1945609509644716,"score_spread":0.1816997505721345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197872087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99347574,0.0015483558,0.0023732092,0.00031191338,0.000015115119,0.000004356572,0.00018371413,0.000014800673,0.0020728006],"genre_scores_gemma":[0.99872607,0.0005027808,0.00023369385,0.000020069072,0.000023950271,0.000002034331,0.0001150124,0.0000030760834,0.00037324484],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996939,0.00006595018,0.00003588851,0.00008529071,0.00006179101,0.00005725394],"domain_scores_gemma":[0.99294806,0.0026009034,0.0034851131,0.00031936012,0.00033445278,0.00031208058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091876456,0.00021103534,0.00021677915,0.00086350006,0.00021411711,0.00091949233,0.00021456018,0.0005647474,0.0015798624],"category_scores_gemma":[0.007214599,0.00015827102,0.0003392431,0.0014369766,0.00038807924,0.0011864455,0.00046613373,0.000740265,0.0002422527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007815753,0.00003802688,0.9782411,0.000024372179,0.00015312764,0.0002486987,0.00024880734,0.0047234967,0.00074630487,0.0035102852,0.00021534655,0.011772176],"study_design_scores_gemma":[0.0000033392178,0.00007232504,0.9890962,0.000014430891,0.000060757015,0.0002203927,0.00014982137,0.005881316,0.00031760227,0.0033537215,0.00081081776,0.000019186557],"about_ca_topic_score_codex":0.0028522196,"about_ca_topic_score_gemma":0.0034043721,"teacher_disagreement_score":0.0028522196,"about_ca_system_score_codex":0.00038018415,"about_ca_system_score_gemma":0.00019614487,"threshold_uncertainty_score":0.005671203},"labels":[],"label_agreement":null},{"id":"W3198249425","doi":"10.1007/978-3-030-73588-3_1","title":"Financial Education and Mathematics Education: A Cross-Cutting Analysis of the Epistemological Intersection of Financial Numeracy","year":2021,"lang":"en","type":"book-chapter","venue":"Mathematics education in the digital era","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Christian Studies; University of Toronto; McGill University","funders":"","keywords":"Numeracy; Barter; Intersection (aeronautics); Context (archaeology); Mathematics education; Mathematical finance; Finance; Economics; Mathematics; Sociology; Pedagogy; Engineering; Geography; Macroeconomics","score_opus":0.02354589104140321,"score_gpt":0.2577539144039296,"score_spread":0.23420802336252639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198249425","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028451161,0.033452142,0.014178673,0.017569484,0.00030831093,0.000014645257,0.000080295744,0.000031010753,0.9059142],"genre_scores_gemma":[0.883011,0.026565216,0.00989238,0.0020303035,0.0006060796,0.0000529688,0.0001411774,0.0000729859,0.0776279],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99940526,0.0003002088,0.000016279324,0.000049937164,0.00015598767,0.000072331],"domain_scores_gemma":[0.9978649,0.0016921593,0.000105664025,0.00006228906,0.00016211282,0.00011288034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086825935,0.00033659206,0.00028682727,0.0026675747,0.0017409722,0.008551519,0.00064574066,0.0012247325,0.013534428],"category_scores_gemma":[0.0029947816,0.00015790232,0.0002443211,0.004155855,0.010769536,0.010501437,0.00273755,0.0024781711,0.0006907192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004634307,0.000010958775,0.0003628792,0.000024178416,0.0000011337768,0.000023963094,0.0012306685,0.00007184662,0.000024204071,0.98302966,0.0015783482,0.013637539],"study_design_scores_gemma":[0.00000233042,0.0000057412453,0.0021601592,0.0002579331,0.0000033757187,0.000111084926,0.005806451,0.00059857115,0.00014109287,0.8988112,0.09209594,0.0000059783542],"about_ca_topic_score_codex":0.0034958853,"about_ca_topic_score_gemma":0.006975231,"teacher_disagreement_score":0.013534428,"about_ca_system_score_codex":0.0033987227,"about_ca_system_score_gemma":0.002640427,"threshold_uncertainty_score":0.04527718},"labels":[],"label_agreement":null},{"id":"W3198874359","doi":"","title":"Do Corporate Managers Believe in Luck? Evidence of the Chinese Zodiac Effect","year":2021,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Luck; Perception; Quarter (Canadian coin); Risk perception; Cash; Monetary economics; Business; Economics; Psychology; Social psychology; Finance; History; Philosophy","score_opus":0.040869575430080594,"score_gpt":0.2830835864723753,"score_spread":0.2422140110422947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198874359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99683005,0.00014052045,0.000036198006,0.0004240298,0.000005246663,0.0000054039206,0.000041995867,0.0000013443522,0.0025151295],"genre_scores_gemma":[0.9995931,0.000074211566,0.000014563304,0.00007692989,0.000008362292,0.000002700963,0.000029188266,6.031999e-7,0.00020037772],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884486,0.0003244576,0.00007189566,0.00016009605,0.000336387,0.0002622528],"domain_scores_gemma":[0.97505605,0.008584855,0.011352224,0.0018173105,0.001503691,0.0016857629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002991516,0.00020716996,0.00030582384,0.0008232037,0.0007911466,0.0010755012,0.00045718474,0.00064588094,0.005389095],"category_scores_gemma":[0.010560339,0.000207315,0.00025890386,0.0011317822,0.002197936,0.00067394035,0.000987846,0.00072478055,0.00034731766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005272302,0.00014105074,0.97656804,0.0000921391,0.00009727689,0.00023071763,0.010269335,0.00012937386,0.00088223617,0.0012977008,0.0004949267,0.009270098],"study_design_scores_gemma":[0.000011891651,0.00004331691,0.99698347,0.000007956831,0.000020156533,0.000016292279,0.0022713295,0.0001095208,0.00007042524,0.00011404359,0.00034392002,0.000007685783],"about_ca_topic_score_codex":0.036181714,"about_ca_topic_score_gemma":0.032620195,"teacher_disagreement_score":0.036181714,"about_ca_system_score_codex":0.0011157113,"about_ca_system_score_gemma":0.0009968024,"threshold_uncertainty_score":0.07194221},"labels":[],"label_agreement":null},{"id":"W3198939082","doi":"10.2139/ssrn.3852487","title":"Asset Pricing Implications Of The Mismatch Between Performance Window And Benchmark Duration","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Duration (music); Window (computing); Benchmark (surveying); Capital asset pricing model; Econometrics; Asset (computer security); Economics; Business; Financial economics; Computer science; Actuarial science; Geology; Computer security","score_opus":0.015700420540392633,"score_gpt":0.20626959486997512,"score_spread":0.19056917432958248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198939082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9491508,0.0013900658,0.030850172,0.005169348,0.00029532827,0.000024636416,0.00040154762,0.0001532729,0.012564806],"genre_scores_gemma":[0.9987576,0.00007255167,0.000530324,0.00010892085,0.000089239235,0.000004633626,0.000042504747,0.000020843274,0.0003733755],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988876,0.00024900545,0.00010514996,0.00029203476,0.0002831637,0.00018305227],"domain_scores_gemma":[0.9629081,0.026535135,0.005194345,0.0024070265,0.0011825713,0.0017727925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005448477,0.00026629452,0.0005979899,0.0004325016,0.00027543269,0.0039042835,0.00083283975,0.0018175003,0.005294876],"category_scores_gemma":[0.06942514,0.00034890982,0.0002002222,0.00053568353,0.00068718515,0.0040724752,0.001182878,0.0026489848,0.00056318904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010906352,0.0019100378,0.25845844,0.0004895153,0.0003348695,0.0025622009,0.001590466,0.11993603,0.07329696,0.38233984,0.0078121447,0.14036311],"study_design_scores_gemma":[0.00043749824,0.001323787,0.36862087,0.00014362311,0.00030859708,0.0011181459,0.0010010147,0.30091783,0.009791038,0.31208828,0.004057668,0.00019165651],"about_ca_topic_score_codex":0.0010357063,"about_ca_topic_score_gemma":0.00053228077,"teacher_disagreement_score":0.005448477,"about_ca_system_score_codex":0.0006806578,"about_ca_system_score_gemma":0.00046289386,"threshold_uncertainty_score":0.028814614},"labels":[],"label_agreement":null},{"id":"W3199377937","doi":"10.1287/mnsc.2021.03059","title":"Pricing Indefinitely Lived Assets: Experimental Evidence","year":2024,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; Bank of Canada","funders":"Concordia University; Ecolab","keywords":"Business; Economics","score_opus":0.09044349357466712,"score_gpt":0.2805963709834368,"score_spread":0.19015287740876968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199377937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846614,0.0009835946,0.0072994544,0.0007385833,0.00007435675,0.000035049994,0.000108141605,0.000030628376,0.0060689147],"genre_scores_gemma":[0.99473923,0.0006899164,0.002737546,0.00026620924,0.000051968196,0.000059685848,0.00011975202,0.000022724842,0.0013129304],"study_design_codex":"bench_or_experimental","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9989023,0.0004175351,0.00009967306,0.00024183797,0.000255676,0.000082933206],"domain_scores_gemma":[0.9741241,0.01815286,0.0032103905,0.0030271206,0.0006960286,0.0007895172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038990558,0.00044726577,0.000510471,0.00028144984,0.00033286534,0.0016338191,0.0010102821,0.0013490076,0.008258266],"category_scores_gemma":[0.017130315,0.00029219346,0.0002724589,0.00026078025,0.0015666344,0.002943829,0.0006302092,0.0017102364,0.00054715975],"study_design_candidate":"randomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.024486782,0.04004393,0.065155394,0.0022831168,0.0015012465,0.002092889,0.0033002298,0.01024167,0.33168745,0.26991808,0.00611624,0.24317296],"study_design_scores_gemma":[0.0048493277,0.033776633,0.12599023,0.0005087577,0.0009047265,0.0036449821,0.0017928061,0.056831278,0.21653174,0.5233922,0.031348575,0.00042870553],"about_ca_topic_score_codex":0.00037212932,"about_ca_topic_score_gemma":0.00022487796,"teacher_disagreement_score":0.008258266,"about_ca_system_score_codex":0.00031803775,"about_ca_system_score_gemma":0.00027456172,"threshold_uncertainty_score":0.027626634},"labels":[],"label_agreement":null},{"id":"W3199477175","doi":"10.1111/fmii.12151","title":"Analoging the digital: Designing better binary option contracts","year":2021,"lang":"en","type":"article","venue":"Financial Markets Institutions and Instruments","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Binary option; Stochastic game; Asset (computer security); Binary number; Computer science; Nothing; Key (lock); Speculation; Incentive; Order (exchange); Liberian dollar; Economics; Microeconomics; Financial economics; Valuation of options; Asian option; Finance; Computer security; Arithmetic; Mathematics","score_opus":0.0364912117297701,"score_gpt":0.2226342179947748,"score_spread":0.1861430062650047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199477175","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12165898,0.00039958538,0.86801237,0.00051434006,0.00009260266,0.00015898168,0.000033221942,0.00010013423,0.009029817],"genre_scores_gemma":[0.8200009,0.00017866668,0.17742652,0.00018078569,0.00003640998,0.00015408319,0.000017153418,0.000024610932,0.0019810267],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970632,0.0017932918,0.00018126178,0.00022661139,0.000589213,0.00014647341],"domain_scores_gemma":[0.99227154,0.0045978706,0.0012728404,0.0009407946,0.0005604272,0.0003565115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060951957,0.00041330667,0.00054894836,0.00071490335,0.00037057963,0.0015706284,0.000824631,0.0013558988,0.004627095],"category_scores_gemma":[0.014084059,0.00041284302,0.00033661228,0.00056333136,0.0014795027,0.002540983,0.0014821817,0.0012617067,0.00037398704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061334076,0.0005909364,0.0018267194,0.00030709256,0.00006958746,0.00018087766,0.0003209235,0.303034,0.026129885,0.55482936,0.0010340117,0.11106327],"study_design_scores_gemma":[0.00036618952,0.00071349036,0.0004269066,0.000069976086,0.000028303837,0.00013751509,0.000062831714,0.7806704,0.0076076905,0.20392701,0.005938726,0.00005089393],"about_ca_topic_score_codex":0.0001802458,"about_ca_topic_score_gemma":0.00016846358,"teacher_disagreement_score":0.0060951957,"about_ca_system_score_codex":0.00060074875,"about_ca_system_score_gemma":0.00052304455,"threshold_uncertainty_score":0.032234907},"labels":[],"label_agreement":null},{"id":"W3201162142","doi":"10.3390/jrfm14100456","title":"The Rich Get Richer and the Poor Get Poorer: Social Media and the Post-IPO Behavior of Investors in Biotechnology Firms: The Relationship with Twitter Volume","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Initial public offering; Yield (engineering); Social media; Value (mathematics); Stock (firearms); Business; Stock market; Monetary economics; Positive correlation; Demographic economics; Economics; Biology; Statistics; Mathematics; Political science; Geography","score_opus":0.01513759535209516,"score_gpt":0.19938444955826412,"score_spread":0.18424685420616896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201162142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974437,0.00017445513,0.000042976244,0.00045319577,0.0000064644414,0.000004097302,0.00018716358,0.0000019105498,0.0016860071],"genre_scores_gemma":[0.99907815,0.00015071205,0.000030379482,0.00007140442,0.000026252215,0.00000322288,0.00010621061,0.0000015952754,0.0005320877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997193,0.00007967863,0.000020651923,0.00003169243,0.00005650412,0.00009219133],"domain_scores_gemma":[0.9942825,0.0015773678,0.0031611866,0.00009064309,0.0002973796,0.0005910215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053369615,0.00013227915,0.00015712462,0.00080976164,0.0002685709,0.0014705271,0.00020329106,0.00064547634,0.003041014],"category_scores_gemma":[0.0044614533,0.00009308209,0.0001888738,0.0008572715,0.0003217769,0.0010850752,0.00069111295,0.0006788446,0.00061071396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011710778,0.00010364732,0.98986757,0.000015699721,0.000050805767,0.00012917028,0.0008138491,0.00008446735,0.0003600352,0.00019054698,0.0004871954,0.0077798273],"study_design_scores_gemma":[0.0000024607348,0.00005622404,0.99564844,0.000019619392,0.000021794864,0.00010278768,0.0028397592,0.0003026606,0.00016624462,0.00011990023,0.0007136349,0.0000064027367],"about_ca_topic_score_codex":0.0035861712,"about_ca_topic_score_gemma":0.005987821,"teacher_disagreement_score":0.0035861712,"about_ca_system_score_codex":0.00026388388,"about_ca_system_score_gemma":0.0001413581,"threshold_uncertainty_score":0.010173142},"labels":[],"label_agreement":null},{"id":"W3201317625","doi":"10.33423/jabe.v22i4.2905","title":"Portfolio Management of High Growth Firms and Technical Buy Points","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Econometrics; Economics; Capital asset pricing model; Earnings growth; Excess return; Earnings; Recession; Index (typography); Financial economics; Computer science; Finance; Macroeconomics","score_opus":0.017072667457062454,"score_gpt":0.17939465752829087,"score_spread":0.1623219900712284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201317625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858175,0.0007115784,0.0066992054,0.00033604522,0.0000146808825,0.000015816442,0.000098540644,0.000037532125,0.0062691714],"genre_scores_gemma":[0.9984623,0.000080983016,0.00037449453,0.000011910972,0.000009755481,0.0000019789222,0.00006783649,0.0000021398193,0.00098862],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994906,0.00016766145,0.00002665876,0.000079346435,0.00012800109,0.000107747335],"domain_scores_gemma":[0.9971167,0.0010874383,0.0010182807,0.00016132403,0.00021727536,0.0003989006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015212281,0.00029333172,0.00033358744,0.00093609013,0.000259545,0.0024165462,0.00030658662,0.00051839295,0.0020769078],"category_scores_gemma":[0.0068442477,0.00012725715,0.00020681157,0.0009011921,0.0002793161,0.0012176243,0.000767026,0.00050025387,0.00030860628],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005718773,0.00032802633,0.73812807,0.00005581984,0.00024886458,0.001036913,0.00035252824,0.03950596,0.0024213053,0.024886552,0.0021432384,0.19032088],"study_design_scores_gemma":[0.000071039285,0.0006331506,0.6238398,0.00005011717,0.00014204519,0.0008071368,0.0009030285,0.28518873,0.0027258608,0.081407346,0.0041775787,0.0000541559],"about_ca_topic_score_codex":0.0011501444,"about_ca_topic_score_gemma":0.0014080079,"teacher_disagreement_score":0.0024165462,"about_ca_system_score_codex":0.00060661574,"about_ca_system_score_gemma":0.0002917214,"threshold_uncertainty_score":0.008045137},"labels":[],"label_agreement":null},{"id":"W3201442926","doi":"10.1109/compsac51774.2021.00263","title":"An Algorithmic Multiple Trading Strategy Using Data-Driven Random Weights Innovation Volatility","year":2021,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Sharpe ratio; Trading strategy; Algorithmic trading; Computer science; Pairs trade; Robustness (evolution); Volatility (finance); Kalman filter; Econometrics; High-frequency trading; Stock exchange; Technical analysis; Algorithm; Alternative trading system; Economics; Financial economics; Artificial intelligence; Finance; Portfolio","score_opus":0.12044419378743003,"score_gpt":0.2810674484388267,"score_spread":0.16062325465139665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201442926","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014658858,0.0000673462,0.98381525,0.000055347566,0.000019991896,0.00002657247,0.000009659836,0.0002467447,0.0011001664],"genre_scores_gemma":[0.5669859,0.000114172326,0.4300311,0.00008127384,0.00003962266,0.00011695087,0.000068007546,0.00005943609,0.0025036063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993655,0.00013781853,0.000047273938,0.0001558729,0.00024021679,0.000053382297],"domain_scores_gemma":[0.9991315,0.00044708405,0.00013619411,0.00010703342,0.00014066273,0.000037632868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011898011,0.0006920742,0.00080439966,0.00078763627,0.00034973523,0.0009855062,0.0012441373,0.00091815065,0.0011211012],"category_scores_gemma":[0.0030494828,0.00028459364,0.00053857587,0.0006806666,0.0005115531,0.0013463513,0.00085308467,0.000648212,0.00021041628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115161405,0.00012391998,0.0018216055,0.00007236576,0.00011700908,0.0002261416,0.00013028929,0.61243373,0.013146329,0.05822763,0.0010308069,0.31255496],"study_design_scores_gemma":[0.000009354646,0.0000321783,0.00010563232,0.0000031310633,0.000008316013,0.00004673092,0.000004390891,0.99237615,0.0014406304,0.005548185,0.0004167241,0.0000086118325],"about_ca_topic_score_codex":0.0018942335,"about_ca_topic_score_gemma":0.0016029364,"teacher_disagreement_score":0.0018942335,"about_ca_system_score_codex":0.00048491955,"about_ca_system_score_gemma":0.0007283041,"threshold_uncertainty_score":0.006292343},"labels":[],"label_agreement":null},{"id":"W3201541131","doi":"10.1108/rbf-05-2021-0085","title":"Quarterly seasonality and momentum strategy implementation","year":2021,"lang":"en","type":"article","venue":"Review of Behavioral Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Momentum (technical analysis); Economics; Econometrics; Quarter (Canadian coin); Trend following; Financial economics; Statistics; Geography; Mathematics","score_opus":0.05436917058021333,"score_gpt":0.3174386455748166,"score_spread":0.26306947499460326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201541131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862401,0.0015127134,0.0035160186,0.00029981972,0.00004306731,0.00004049876,0.00019388468,0.000035204997,0.008118745],"genre_scores_gemma":[0.99811053,0.00038210483,0.0005452375,0.000036828933,0.000028145261,0.0000080270465,0.00010837154,0.0000053425633,0.00077536044],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995552,0.00010221088,0.000055305423,0.00007443627,0.00013690286,0.000075964505],"domain_scores_gemma":[0.9917046,0.0020600038,0.0047143307,0.0002819475,0.00076360966,0.0004756485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010831589,0.0001749956,0.00018300676,0.00071681244,0.00015874214,0.0011227727,0.00024266788,0.0002715432,0.0024188706],"category_scores_gemma":[0.009592155,0.0000916656,0.00017103204,0.00076558697,0.00024333097,0.0007130947,0.00036233765,0.000284541,0.00025316168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029253046,0.00025783293,0.84818256,0.00013287044,0.0001365957,0.00020508376,0.0004082465,0.0016894306,0.0027135534,0.003277051,0.0013207662,0.1413834],"study_design_scores_gemma":[0.0000133943795,0.00025428628,0.9897439,0.000060910603,0.000038382183,0.0002844256,0.00032895856,0.0033201969,0.00057867967,0.002524783,0.0028388833,0.000013323353],"about_ca_topic_score_codex":0.0019729573,"about_ca_topic_score_gemma":0.0019319133,"teacher_disagreement_score":0.0024188706,"about_ca_system_score_codex":0.00040202565,"about_ca_system_score_gemma":0.0002875112,"threshold_uncertainty_score":0.008091927},"labels":[],"label_agreement":null},{"id":"W3201840928","doi":"10.2139/ssrn.2638390","title":"Are Capital Market Anomalies Common to Equity and Corporate Bond Markets?","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bond; Corporate bond; Financial economics; Equity (law); Economics; Predictability; Volatility (finance); Profitability index; Monetary economics; Bond market; Stock (firearms); Business; Econometrics; Finance","score_opus":0.04849201896166483,"score_gpt":0.23950520958998067,"score_spread":0.19101319062831584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201840928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769018,0.0014536668,0.011871666,0.0041750637,0.00017338096,0.000020556527,0.00053454086,0.00025049737,0.0046189027],"genre_scores_gemma":[0.99821883,0.0003767852,0.00049671513,0.0001261449,0.00019416986,0.00000438557,0.00014266839,0.000022735238,0.0004175304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987999,0.00023329115,0.00011959974,0.00030175553,0.00029829974,0.00024717796],"domain_scores_gemma":[0.9618859,0.019338582,0.011220709,0.0042731524,0.0020790566,0.0012026095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028640698,0.00024351155,0.0010001408,0.0021405425,0.0004084243,0.0030874368,0.0011502096,0.0027040758,0.004113276],"category_scores_gemma":[0.047816765,0.00033651895,0.0006543395,0.0023987074,0.001930982,0.0054439926,0.0010019948,0.0016171556,0.0005312266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010368509,0.00032107998,0.71367043,0.00022281885,0.0005526228,0.0018062455,0.0010184802,0.009809524,0.006360377,0.14250953,0.008891203,0.11380079],"study_design_scores_gemma":[0.0002019131,0.00026869206,0.53577226,0.00010757592,0.0003273637,0.0027514722,0.0017004516,0.07616407,0.0031810577,0.37072274,0.00867487,0.00012750457],"about_ca_topic_score_codex":0.0022060343,"about_ca_topic_score_gemma":0.0014661519,"teacher_disagreement_score":0.004113276,"about_ca_system_score_codex":0.0005900701,"about_ca_system_score_gemma":0.00054430537,"threshold_uncertainty_score":0.015146792},"labels":[],"label_agreement":null},{"id":"W3203018621","doi":"10.2139/ssrn.3910069","title":"Investor Judgments: Linking Dependent Measures to Constructs","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Psychology; Econometrics; Social psychology; Business; Cognitive psychology; Economics","score_opus":0.02590346357423693,"score_gpt":0.2147266593374501,"score_spread":0.1888231957632132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203018621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827687,0.00018572905,0.0061935224,0.00025156114,0.000030545718,0.00013252825,0.0011511658,0.00004172291,0.009244498],"genre_scores_gemma":[0.99654824,0.000074950134,0.001784856,0.00007892567,0.000020182579,0.0001478626,0.00076940755,0.00002266565,0.0005529044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950884,0.0023007975,0.00039184635,0.00076618744,0.0011845541,0.00026827186],"domain_scores_gemma":[0.8303012,0.13014854,0.019458443,0.01184405,0.0056272303,0.0026205762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007908522,0.0006518007,0.0005373539,0.0022122567,0.00057583954,0.0033003904,0.0007289814,0.0023886191,0.005982431],"category_scores_gemma":[0.10392589,0.00034673224,0.00075921824,0.0017083472,0.0012580809,0.0032500238,0.0018729094,0.002164259,0.0011619908],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053484336,0.0009650164,0.97738975,0.00008512335,0.000463245,0.00007730372,0.0010303861,0.0009822407,0.0006842871,0.0034052993,0.000740958,0.013641647],"study_design_scores_gemma":[0.00007141977,0.0003951895,0.97389597,0.00006490447,0.00029678512,0.00014979803,0.0010926147,0.0066022263,0.0015771951,0.0147334,0.0010502628,0.00007021682],"about_ca_topic_score_codex":0.0012160543,"about_ca_topic_score_gemma":0.0017466557,"teacher_disagreement_score":0.007908522,"about_ca_system_score_codex":0.00058413995,"about_ca_system_score_gemma":0.00046799827,"threshold_uncertainty_score":0.041824758},"labels":[],"label_agreement":null},{"id":"W3203497996","doi":"10.5430/afr.v10n4p13","title":"Spillovers and Dynamic Correlations between REITs, Exchange Rates, and Equities in Japan","year":2021,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Chuo University","keywords":"Real estate investment trust; Volatility (finance); Liberian dollar; Index (typography); Economics; Exchange rate; Us dollar; Monetary economics; Stock (firearms); Rate of return; Financial economics; Real estate; Finance; Geography","score_opus":0.07844665368293952,"score_gpt":0.31422696908285813,"score_spread":0.23578031539991862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203497996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99717075,0.0003550061,0.00042061353,0.00012160617,0.000004427034,0.0000038489598,0.000065030225,0.000005797186,0.0018530167],"genre_scores_gemma":[0.99922764,0.00024672455,0.00008556844,0.000013553724,0.0000099420895,0.0000017327899,0.000083416155,0.0000014701201,0.00032996197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995963,0.00009382074,0.000040713876,0.000109708795,0.00007672243,0.00008272177],"domain_scores_gemma":[0.99803215,0.0005636405,0.00081908685,0.0001430987,0.0002761837,0.00016587523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006818473,0.0002503817,0.000443822,0.0012427404,0.00034284458,0.0012930478,0.00023319545,0.0002754033,0.001713054],"category_scores_gemma":[0.0032088005,0.00027432543,0.00040400308,0.0011298616,0.00041117985,0.0016681611,0.0011951363,0.00041981554,0.00016293654],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020657916,0.000113536276,0.9617138,0.00006748771,0.0003373353,0.0010781437,0.0017509196,0.007044252,0.0016257474,0.0058441795,0.0005571758,0.01966077],"study_design_scores_gemma":[0.000012147855,0.000060608167,0.986434,0.000029101033,0.00022219286,0.0001668338,0.0017977139,0.0077958065,0.00038823474,0.0023556298,0.0007087992,0.000028851748],"about_ca_topic_score_codex":0.024543256,"about_ca_topic_score_gemma":0.019735795,"teacher_disagreement_score":0.024543256,"about_ca_system_score_codex":0.0006938077,"about_ca_system_score_gemma":0.0004707912,"threshold_uncertainty_score":0.048800766},"labels":[],"label_agreement":null},{"id":"W3203550830","doi":"10.3390/jrfm14110521","title":"Expectations Concordance and Stock Market Volatility: Knightian Uncertainty in the Year of the Pandemic","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Concordance; Economics; Stock market; Knightian uncertainty; Econometrics; Financial economics; Implied volatility; Stock (firearms); Volatility smile; Stock market index; Internal medicine; Medicine; Computer science","score_opus":0.016104540778702582,"score_gpt":0.21107808104742934,"score_spread":0.19497354026872676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203550830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97981185,0.0008756392,0.004339307,0.0017406063,0.00012300226,0.00001562613,0.0004858778,0.00002562982,0.012582405],"genre_scores_gemma":[0.99935824,0.00009424799,0.0001467757,0.00004172851,0.00008024318,0.0000018747847,0.00008419838,0.000004394593,0.00018827544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991385,0.00021251236,0.00008737208,0.00011096249,0.00034509756,0.00010554694],"domain_scores_gemma":[0.9869587,0.005407576,0.005440944,0.00060176675,0.00072417106,0.0008668193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020787595,0.00019862538,0.00038560474,0.0008467287,0.00045327665,0.002728053,0.00031800984,0.00069872994,0.0018127321],"category_scores_gemma":[0.022239884,0.00014626117,0.000310999,0.0010823011,0.0008743939,0.00213228,0.0013102781,0.001197514,0.00020797786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010570264,0.00012385636,0.8970813,0.00008841929,0.00025363555,0.0008628873,0.0031339156,0.020960486,0.0018691027,0.030694215,0.0021507773,0.041724425],"study_design_scores_gemma":[0.000014863154,0.00022197851,0.9304671,0.00008011585,0.00008178167,0.00047716452,0.002508777,0.02320131,0.0010707994,0.038122974,0.0036580535,0.00009505486],"about_ca_topic_score_codex":0.0032006192,"about_ca_topic_score_gemma":0.0021526671,"teacher_disagreement_score":0.0032006192,"about_ca_system_score_codex":0.00087841856,"about_ca_system_score_gemma":0.00045021987,"threshold_uncertainty_score":0.0109936595},"labels":[],"label_agreement":null},{"id":"W3205327968","doi":"10.1016/j.jfineco.2021.10.004","title":"More informative disclosures, less informative prices? Portfolio and price formation around quarter-ends","year":2021,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Stock (firearms); Portfolio; Economics; Monetary economics; Stock price; Business; Financial economics; Econometrics; Finance","score_opus":0.02056117600355691,"score_gpt":0.21415302378537981,"score_spread":0.1935918477818229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205327968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908592,0.00031114378,0.0016730956,0.0018959037,0.000049187438,0.00001072089,0.00018479774,0.00003672796,0.004979186],"genre_scores_gemma":[0.99841917,0.00006761099,0.00022726542,0.00007549626,0.0000519846,0.0000024992355,0.00010476661,0.00000739057,0.0010437683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931026,0.00015635992,0.000067437155,0.00013627135,0.00012955016,0.00020021731],"domain_scores_gemma":[0.9787284,0.008932174,0.008220371,0.0010152622,0.0013223017,0.0017814712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002520104,0.00019425797,0.00054188014,0.00066831114,0.0004630099,0.004310026,0.00044104498,0.0015593895,0.00708098],"category_scores_gemma":[0.031041723,0.0003108416,0.00020388971,0.00060601794,0.00052483915,0.003824943,0.0013604253,0.001394225,0.00086568936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031819418,0.0014017837,0.7783082,0.00016174372,0.00031071843,0.0011196088,0.0019409433,0.014867884,0.009644083,0.06260738,0.008795603,0.117660135],"study_design_scores_gemma":[0.00011233676,0.00045248884,0.8675964,0.000044292115,0.00015476992,0.00026911282,0.0022979958,0.030937497,0.00306682,0.09165979,0.003332804,0.00007571553],"about_ca_topic_score_codex":0.0010593901,"about_ca_topic_score_gemma":0.0012155847,"teacher_disagreement_score":0.00708098,"about_ca_system_score_codex":0.0004270475,"about_ca_system_score_gemma":0.00037459686,"threshold_uncertainty_score":0.023688197},"labels":[],"label_agreement":null},{"id":"W3205897647","doi":"10.3390/jrfm14100477","title":"Multi-Asset Value Payoff: Is Recent Underperformance Cyclical?","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Portfolio; Stochastic game; Inflation (cosmology); Asset (computer security); Financial economics; Emerging markets; Monetary economics; Business cycle; Value (mathematics); Financial crisis; Microeconomics; Macroeconomics","score_opus":0.02295264108785448,"score_gpt":0.22005791665868868,"score_spread":0.1971052755708342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205897647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97706795,0.001947922,0.0050737197,0.0047015077,0.000090225185,0.00002177656,0.00061690016,0.00006637122,0.010413616],"genre_scores_gemma":[0.99845684,0.0002879766,0.00025070572,0.00012373489,0.000079273144,0.000004167602,0.0001900779,0.000010207253,0.0005969889],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991848,0.000113214024,0.00008840271,0.00024327134,0.00020573838,0.00016457611],"domain_scores_gemma":[0.98731285,0.0020077662,0.007388427,0.0010967682,0.0012160315,0.0009781016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026369295,0.00017187561,0.00045710173,0.0012335242,0.0003705591,0.002807123,0.0006952331,0.00097136694,0.0030226805],"category_scores_gemma":[0.019541714,0.0001420835,0.00026410611,0.001583452,0.0009812298,0.002618854,0.0012027291,0.0010033973,0.00048547596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025831236,0.00009366238,0.8262368,0.00011653848,0.00021094747,0.0006059089,0.0012432924,0.003775687,0.0028388617,0.033694077,0.0024613682,0.12846445],"study_design_scores_gemma":[0.000009294667,0.0001518103,0.9556267,0.000068106994,0.00005595136,0.00050337095,0.0005990864,0.0065215477,0.0007498106,0.028993288,0.0066809687,0.000040047544],"about_ca_topic_score_codex":0.0027967852,"about_ca_topic_score_gemma":0.0022228886,"teacher_disagreement_score":0.0030226805,"about_ca_system_score_codex":0.0008043821,"about_ca_system_score_gemma":0.0004622783,"threshold_uncertainty_score":0.0139455795},"labels":[],"label_agreement":null},{"id":"W3205915172","doi":"10.1287/mnsc.2021.3989","title":"Optimal Portfolio Choice with Estimation Risk: No Risk-Free Asset Case","year":2021,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Portfolio; Computer science; Portfolio optimization; Asset (computer security); Variance (accounting); Modern portfolio theory; Econometrics; Sample (material); Project portfolio management; Estimation; Actuarial science; Mathematical optimization; Economics; Finance; Mathematics","score_opus":0.01605302954166679,"score_gpt":0.21852847866841232,"score_spread":0.20247544912674553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205915172","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034726497,0.0002786568,0.9621806,0.00028278868,0.000026316893,0.00005426664,0.000024915193,0.00009257665,0.002333384],"genre_scores_gemma":[0.764016,0.00032704018,0.2326669,0.00018908274,0.00014746578,0.00018099928,0.00008169418,0.00006980833,0.0023210591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9931386,0.0037187326,0.00031178165,0.00086085184,0.0015216566,0.00044840502],"domain_scores_gemma":[0.9821653,0.013821211,0.0013862019,0.0014468628,0.0007653228,0.00041512595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009975396,0.0012354578,0.0025058112,0.0011808095,0.0004321643,0.0021717553,0.0019024606,0.001916025,0.0019521678],"category_scores_gemma":[0.036938485,0.001066418,0.0011800105,0.0011392811,0.0017799413,0.0037051737,0.002500864,0.0018132464,0.0003236527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029150894,0.00022513224,0.004399671,0.00013208714,0.00046303074,0.00041001875,0.00015289854,0.7178196,0.002313602,0.15161997,0.0014842879,0.120688245],"study_design_scores_gemma":[0.000033426222,0.000086659944,0.00040275778,0.000014056233,0.000042925894,0.00007416823,0.000008885579,0.94654965,0.0006503092,0.051745333,0.00037166718,0.00002014709],"about_ca_topic_score_codex":0.0007959054,"about_ca_topic_score_gemma":0.00048565163,"teacher_disagreement_score":0.009975396,"about_ca_system_score_codex":0.0007553639,"about_ca_system_score_gemma":0.00095984974,"threshold_uncertainty_score":0.052755535},"labels":[],"label_agreement":null},{"id":"W3206121886","doi":"10.1016/j.finmar.2021.100683","title":"Media abnormal tone, earnings announcements, and the stock market","year":2021,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Group for Research in Decision Analysis; HEC Montréal","funders":"Institut de Valorisation des Données; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Earnings; Tone (literature); Stock (firearms); Post-earnings-announcement drift; Business; Economics; Event study; Earnings response coefficient; Monetary economics; Financial economics; Accounting; Biology","score_opus":0.01629054695868511,"score_gpt":0.2149362031003051,"score_spread":0.19864565614161997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206121886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98638654,0.0008773106,0.00011465985,0.001568377,0.000096066484,0.000008904152,0.0005663624,0.000012713925,0.010369034],"genre_scores_gemma":[0.99766266,0.00043052947,0.000031961554,0.00011321073,0.00033576434,0.00000322831,0.00023412326,0.000004194951,0.0011844847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976474,0.00006699439,0.000023426272,0.000023445114,0.00007110803,0.00005020855],"domain_scores_gemma":[0.97991973,0.010062963,0.0075353878,0.00032596334,0.0007739067,0.0013819502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009336353,0.00019725779,0.00019449188,0.0011559036,0.00034811455,0.002453999,0.00025184816,0.0008817851,0.008322442],"category_scores_gemma":[0.014780685,0.00015534232,0.00016636017,0.0011448096,0.00035256497,0.0011208908,0.00047175004,0.0008560736,0.0008782399],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012222902,0.000561643,0.9739968,0.000046368838,0.000106905696,0.00042505923,0.00034968555,0.00042767276,0.001152381,0.00177639,0.003697846,0.016236914],"study_design_scores_gemma":[0.000022344644,0.00011726116,0.996673,0.000015216551,0.000055768916,0.00009624157,0.00036676961,0.0010370519,0.000115663264,0.00072080817,0.0007695127,0.0000103424445],"about_ca_topic_score_codex":0.0053626755,"about_ca_topic_score_gemma":0.0062251086,"teacher_disagreement_score":0.008322442,"about_ca_system_score_codex":0.00034937364,"about_ca_system_score_gemma":0.00022662205,"threshold_uncertainty_score":0.02784139},"labels":[],"label_agreement":null},{"id":"W3206747317","doi":"10.1093/jjfinec/nbab007","title":"Intraday Market Predictability: A Machine Learning Approach","year":2021,"lang":"en","type":"article","venue":"Journal of Financial Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Predictability; Sharpe ratio; Economics; Transaction cost; Econometrics; Volatility (finance); Equity (law); Financial economics; Market liquidity; Capital asset pricing model; Market timing; Monetary economics; Finance; Mathematics; Statistics","score_opus":0.0317867250835095,"score_gpt":0.19834934554048536,"score_spread":0.16656262045697587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206747317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6513758,0.002199646,0.33794653,0.0016692679,0.00008664305,0.00004718313,0.0011894712,0.00079233974,0.0046930523],"genre_scores_gemma":[0.98969704,0.00025087455,0.008836897,0.00003665656,0.0000939839,0.00001699578,0.0004209733,0.000024381252,0.000622082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994585,0.0002020269,0.000044380733,0.00014205587,0.00008287397,0.00007012753],"domain_scores_gemma":[0.9961069,0.0027944485,0.00044535715,0.00032269178,0.00026280983,0.0000677513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017670055,0.00053912826,0.0006812519,0.0019720362,0.0003267325,0.0013110414,0.0006020482,0.000626958,0.0011617607],"category_scores_gemma":[0.006736529,0.00026916305,0.00054202584,0.0015289525,0.0003646069,0.0012206656,0.0006527699,0.0011839664,0.000252467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020159713,0.00021658742,0.09213314,0.000070094626,0.0005309994,0.00033226403,0.00012188528,0.7235832,0.0015979258,0.01316653,0.002384876,0.1656609],"study_design_scores_gemma":[0.0000017529608,0.000013538592,0.0048938277,0.000004699445,0.000009760534,0.00001453137,0.000008549691,0.990017,0.000108037166,0.004771997,0.00015138916,0.0000048519196],"about_ca_topic_score_codex":0.0033006272,"about_ca_topic_score_gemma":0.0025370521,"teacher_disagreement_score":0.0033006272,"about_ca_system_score_codex":0.00052341813,"about_ca_system_score_gemma":0.00042740078,"threshold_uncertainty_score":0.009344935},"labels":[],"label_agreement":null},{"id":"W3206896560","doi":"10.1016/j.jempfin.2021.10.002","title":"Follow the leader: Index tracking with factor models","year":2021,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Index (typography); Replication (statistics); Replica; Monte Carlo method; Computer science; Sample (material); Factor (programming language); Transaction cost; Set (abstract data type); Market liquidity; Index selection; Econometrics; Database transaction; Tracking (education); Factor analysis; Sample size determination; Statistics; Selection (genetic algorithm); Mathematics; Economics; Finance; Artificial intelligence; Database","score_opus":0.1197983278851008,"score_gpt":0.2748796219498271,"score_spread":0.15508129406472632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206896560","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040412623,0.0011118238,0.9513386,0.0013036326,0.00024674946,0.000049573573,0.0003080582,0.0010464169,0.0041824933],"genre_scores_gemma":[0.7846566,0.0011838161,0.19457132,0.00040418818,0.00057170587,0.0000982589,0.00094144547,0.00056213886,0.017010624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823904,0.0009031298,0.00006119548,0.0004805614,0.00017194316,0.0001441566],"domain_scores_gemma":[0.97722536,0.01687473,0.0015581464,0.0028367096,0.001012592,0.00049249624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069904365,0.0010292542,0.0019257052,0.0017885861,0.0010689634,0.003240391,0.0018714978,0.0030183224,0.006847457],"category_scores_gemma":[0.053036276,0.0013185724,0.0010801362,0.00225897,0.0013178593,0.00738331,0.0021850097,0.002390978,0.0023342574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005957802,0.00018925434,0.013072113,0.00014545092,0.00028493963,0.00032849153,0.0003560689,0.66939056,0.0007002054,0.11624114,0.014029106,0.1846669],"study_design_scores_gemma":[0.000017712382,0.000014154103,0.0003146363,0.000011942924,0.000013432171,0.000016972957,0.0000120639215,0.94826424,0.00014981533,0.050512604,0.00066049414,0.00001196116],"about_ca_topic_score_codex":0.011262207,"about_ca_topic_score_gemma":0.00799239,"teacher_disagreement_score":0.011262207,"about_ca_system_score_codex":0.00081468094,"about_ca_system_score_gemma":0.00095007126,"threshold_uncertainty_score":0.036969364},"labels":[],"label_agreement":null},{"id":"W3206903265","doi":"10.1111/j.0008-4085.2006.00363.x","title":"Political uncertainty and stock market returns: evidence from the 1995 Quebec referendum","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Royal Military College of Canada; HEC Montréal; Université Laval","funders":"","keywords":"Referendum; Stock (firearms); Politics; Economics; Financial economics; Stock market; Political risk; Common stock; Outcome (game theory); Business; Political science; Geography; Microeconomics","score_opus":0.1382899828676665,"score_gpt":0.1861010163792877,"score_spread":0.04781103351162119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206903265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986459,0.0013495225,0.00014576358,0.0016209707,0.000021176249,0.000020789728,0.0032037527,0.00001031732,0.0071687163],"genre_scores_gemma":[0.9960711,0.00038061195,0.00004986297,0.00015880111,0.000017682993,0.0000070219717,0.0011441025,0.0000030849997,0.0021677644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993973,0.00010228346,0.000020186902,0.00007831128,0.00024905978,0.0001529262],"domain_scores_gemma":[0.9936319,0.001118451,0.0024230785,0.00020514577,0.0019669912,0.0006544293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009637259,0.00020813278,0.00026189003,0.0010728141,0.0014222601,0.001552051,0.0006331221,0.0006092774,0.004280974],"category_scores_gemma":[0.004818214,0.00012400984,0.00021067064,0.0024084582,0.0006715738,0.00038368916,0.00052245386,0.00081993797,0.0002860664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031762553,0.00015419026,0.972786,0.000045898505,0.00016864525,0.00033477118,0.0014067355,0.0011064488,0.00038582872,0.0011463547,0.009263892,0.012883577],"study_design_scores_gemma":[0.000010266514,0.000018619336,0.99597496,0.000015931479,0.00002035472,0.000014555079,0.0005676687,0.0005983844,0.00011225621,0.000038538237,0.0026179901,0.00001055067],"about_ca_topic_score_codex":0.985187,"about_ca_topic_score_gemma":0.9901517,"teacher_disagreement_score":0.017390154,"about_ca_system_score_codex":0.017390154,"about_ca_system_score_gemma":0.006322978,"threshold_uncertainty_score":0.12617499},"labels":[],"label_agreement":null},{"id":"W3207445015","doi":"10.1080/00213624.2021.1945892","title":"Too Big to Fail or Too Deceitful to be Caught?","year":2021,"lang":"en","type":"article","venue":"Journal of Economic Issues","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Too big to fail; Financial crisis; Context (archaeology); Business; Exploratory research; Economics; Monetary economics; Marketing; Macroeconomics; Geography; Sociology","score_opus":0.07540215792524464,"score_gpt":0.27646581358617356,"score_spread":0.20106365566092893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207445015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6855517,0.011135489,0.018483153,0.16181143,0.001178986,0.00010106955,0.00020903487,0.000056926765,0.12147233],"genre_scores_gemma":[0.9822672,0.0026648242,0.0019243708,0.007887936,0.00017380482,0.00003428839,0.000034644236,0.000024972114,0.004987983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963936,0.002187902,0.0001224113,0.00034420565,0.00048482761,0.00046693004],"domain_scores_gemma":[0.98910844,0.005869588,0.0028330279,0.00043073666,0.00084358995,0.0009146338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055353404,0.0003852076,0.00044734593,0.0009204965,0.003035788,0.006626947,0.00086553063,0.0032082195,0.005988601],"category_scores_gemma":[0.022314314,0.00023724814,0.00021380438,0.0006483992,0.01153047,0.010443401,0.0024430812,0.00358222,0.0009673882],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000533645,0.00080111093,0.15695882,0.0008561326,0.00016237007,0.0030775291,0.15923272,0.00063582306,0.002408253,0.42347604,0.03907715,0.2127804],"study_design_scores_gemma":[0.000037777958,0.00038446483,0.06917908,0.0015720001,0.00008673312,0.0039001214,0.48454234,0.0023522538,0.0020500128,0.3122764,0.123423316,0.00019545264],"about_ca_topic_score_codex":0.0019836843,"about_ca_topic_score_gemma":0.0029521987,"teacher_disagreement_score":0.006626947,"about_ca_system_score_codex":0.0016195155,"about_ca_system_score_gemma":0.0013404601,"threshold_uncertainty_score":0.029273987},"labels":[],"label_agreement":null},{"id":"W3207849839","doi":"10.3390/jrfm14100491","title":"The Effect of U.S. Investor Sentiment on Cross-Listed Securities Returns: A High-Frequency Approach","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Recession; Aggregate (composite); Bankruptcy; Economics; Monetary economics; Business; Market sentiment; Financial economics; Finance; Computer science; Macroeconomics","score_opus":0.009733275986471262,"score_gpt":0.20420124581231666,"score_spread":0.1944679698258454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207849839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978842,0.00009301949,0.0003566591,0.000102689984,0.000007309045,0.00000581409,0.000121505545,0.0000068197282,0.001421963],"genre_scores_gemma":[0.9993111,0.000049458296,0.00015004496,0.000038238897,0.000027670054,0.0000030312888,0.00011367811,0.0000022181403,0.0003046417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922967,0.0003418647,0.000043101918,0.00011751074,0.00016846768,0.000099431774],"domain_scores_gemma":[0.9917922,0.0038065116,0.003023425,0.00040736867,0.0004866534,0.0004838956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014067414,0.00033133832,0.00036578087,0.00129692,0.00033114475,0.0012777396,0.00026897222,0.00051883777,0.0019336645],"category_scores_gemma":[0.005455333,0.00013962516,0.00052177405,0.0010540964,0.00042676038,0.00058779476,0.0007056453,0.0006461044,0.00025772958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003377121,0.00024892617,0.9822466,0.000026289772,0.0003656431,0.00016424466,0.00018517401,0.0028112861,0.0023736001,0.0006972597,0.00048599273,0.010057358],"study_design_scores_gemma":[0.000011071298,0.00028633093,0.98808694,0.000007924336,0.000113832364,0.00006210195,0.0002473313,0.009474715,0.00081443373,0.00038883282,0.0004916149,0.0000147838555],"about_ca_topic_score_codex":0.009385445,"about_ca_topic_score_gemma":0.010262832,"teacher_disagreement_score":0.009385445,"about_ca_system_score_codex":0.0004943334,"about_ca_system_score_gemma":0.00018005427,"threshold_uncertainty_score":0.018661618},"labels":[],"label_agreement":null},{"id":"W3208227642","doi":"10.2139/ssrn.3284686","title":"What Drives Stock Returns in South Korea?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tyndale University College & Seminary","funders":"","keywords":"Stock (firearms); Business; Economics; Financial economics; Financial system; Monetary economics; Geography","score_opus":0.018682466426267662,"score_gpt":0.22057792470319368,"score_spread":0.201895458276926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208227642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998868,0.00007249508,0.000026694797,0.00020318027,0.0000028029945,0.0000017981384,0.000045466753,0.0000016864118,0.0007778838],"genre_scores_gemma":[0.9996613,0.000036563903,0.00001236702,0.000024157125,0.0000025662098,6.0787266e-7,0.000034671797,0.000001397027,0.00022625353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998565,0.000026605796,0.000013607909,0.000034411943,0.000015266522,0.00005367793],"domain_scores_gemma":[0.9980427,0.000445098,0.0007872922,0.00006695309,0.00020275584,0.0004552358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036861826,0.00015167841,0.00021831905,0.00046089359,0.0003235799,0.0016862986,0.00029475274,0.00038317233,0.0034498922],"category_scores_gemma":[0.0022479766,0.00016372178,0.00021752079,0.0005751616,0.00039546622,0.00071455014,0.00050369144,0.0004836319,0.0004391008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013408012,0.000061699364,0.9927295,0.00001979199,0.00006348894,0.00024718206,0.0005620294,0.0004147709,0.00076591485,0.00058999145,0.0003652613,0.0040464667],"study_design_scores_gemma":[0.0000061277606,0.00003110465,0.9947901,0.000010772642,0.000035205605,0.00007337276,0.0030429673,0.0010897705,0.00014346179,0.00042773611,0.00034259635,0.000006836585],"about_ca_topic_score_codex":0.018663762,"about_ca_topic_score_gemma":0.034065507,"teacher_disagreement_score":0.018663762,"about_ca_system_score_codex":0.000641215,"about_ca_system_score_gemma":0.0006484091,"threshold_uncertainty_score":0.03711027},"labels":[],"label_agreement":null},{"id":"W3208440031","doi":"10.2139/ssrn.3950981","title":"Long Run Risks in FX Markets: Are They There?","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Foreign exchange risk; Currency; Exchange rate; Economics; Identification (biology); Risk premium; Asset (computer security); Econometrics; Monetary economics; Financial economics; Computer science","score_opus":0.024835063591296322,"score_gpt":0.22783255827402743,"score_spread":0.2029974946827311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208440031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49144244,0.1080054,0.04597147,0.2891116,0.0021857177,0.0000739093,0.00088841084,0.0003824119,0.06193859],"genre_scores_gemma":[0.95747596,0.024558848,0.0017149136,0.0038657566,0.0043985224,0.000036901274,0.00014311862,0.000065821594,0.0077400156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992787,0.00022408973,0.00004976408,0.00015381954,0.00014982674,0.00014377512],"domain_scores_gemma":[0.96620464,0.026039258,0.004798584,0.0006198534,0.0010328102,0.0013049047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041969474,0.0006746224,0.0016797284,0.0011617191,0.0007636215,0.0056979135,0.00096861384,0.0044960934,0.01649847],"category_scores_gemma":[0.03364518,0.0004999123,0.00057619996,0.0010807419,0.003669152,0.015422024,0.0014183248,0.0050525167,0.000891788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008142621,0.0003997271,0.065744616,0.00089004415,0.0003878641,0.0011814295,0.001579293,0.0072626593,0.0007067732,0.7408881,0.031152904,0.14899223],"study_design_scores_gemma":[0.00008731891,0.00006943517,0.018568197,0.0002760841,0.000173303,0.00027986456,0.00090516795,0.008314717,0.00013037879,0.9655246,0.0056112567,0.00005961224],"about_ca_topic_score_codex":0.0023755073,"about_ca_topic_score_gemma":0.002887591,"teacher_disagreement_score":0.01649847,"about_ca_system_score_codex":0.0008882526,"about_ca_system_score_gemma":0.0009809723,"threshold_uncertainty_score":0.055192888},"labels":[],"label_agreement":null},{"id":"W3208559407","doi":"10.1016/j.ijresmar.2021.09.011","title":"Marketing and investor behavior: Insights, introspections, and indications","year":2021,"lang":"en","type":"article","venue":"International Journal of Research in Marketing","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Marketing; Quarter (Canadian coin); Context (archaeology); Marketing research; Quality (philosophy); Stock (firearms); Value (mathematics); Business; Economics; Computer science; Engineering","score_opus":0.06855083718218084,"score_gpt":0.3327261908132369,"score_spread":0.26417535363105604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208559407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9145767,0.00560636,0.016263466,0.009187136,0.00008674592,0.000047845286,0.00028366878,0.00007591396,0.053872135],"genre_scores_gemma":[0.9943621,0.0015996001,0.0019860687,0.0005303271,0.00013723529,0.000010177809,0.00004982287,0.000009337536,0.001315282],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988871,0.00059398235,0.000048805556,0.00012122191,0.00028220116,0.00006668213],"domain_scores_gemma":[0.960085,0.02921337,0.0064478074,0.0019009997,0.0016384391,0.0007143268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039202212,0.00035887823,0.00028452202,0.00096811703,0.0003427454,0.0036937564,0.00027264573,0.0011595798,0.0027698195],"category_scores_gemma":[0.025709407,0.0002738005,0.00021796922,0.0006201288,0.0013083895,0.0039325315,0.0008393036,0.0016091802,0.00028536908],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068645045,0.00085572427,0.60623294,0.0002844972,0.0002612349,0.00042866328,0.012402757,0.0025631303,0.0064065885,0.08575154,0.0042470708,0.27987942],"study_design_scores_gemma":[0.00006024253,0.00059752155,0.7680584,0.00043399658,0.00025413587,0.0009828877,0.009627713,0.02846127,0.0042957556,0.16908482,0.017991787,0.00015156054],"about_ca_topic_score_codex":0.0007186103,"about_ca_topic_score_gemma":0.0010129474,"teacher_disagreement_score":0.0039202212,"about_ca_system_score_codex":0.0004819804,"about_ca_system_score_gemma":0.00038553623,"threshold_uncertainty_score":0.020732403},"labels":[],"label_agreement":null},{"id":"W3208904716","doi":"10.1108/ijmf-04-2021-0174","title":"Did the STOCK Act impact the performance, risk and flow of hedge funds?","year":2021,"lang":"en","type":"article","venue":"International Journal of Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Hedge fund; Stock (firearms); Business; Originality; Fund of funds; Open-end fund; Actuarial science; Finance; Economics; Financial economics; Institutional investor; Corporate governance","score_opus":0.017659200468487693,"score_gpt":0.2309539588386445,"score_spread":0.21329475837015682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208904716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99580437,0.00057679566,0.00017667782,0.00054750615,0.000027034901,0.000019931436,0.00019143149,0.000004562209,0.0026517084],"genre_scores_gemma":[0.9982863,0.00021203548,0.000094366325,0.00006133346,0.000028762403,0.000007757562,0.0001480074,0.0000030833858,0.0011582233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986143,0.0002470048,0.00017612212,0.00015258431,0.0005684866,0.00024152604],"domain_scores_gemma":[0.98519355,0.0033232572,0.00917982,0.00041130566,0.0012097607,0.0006822566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023656187,0.00018130828,0.00033472665,0.00058411766,0.000316672,0.0025602218,0.0002800593,0.0007624377,0.002275523],"category_scores_gemma":[0.012172773,0.00011524505,0.00039448103,0.0005643828,0.0006568187,0.0010362777,0.00064241665,0.0008478016,0.00041137193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000832091,0.00030566432,0.9618065,0.00011082946,0.00023157094,0.00032465576,0.0008185347,0.0014503845,0.0012002217,0.0023337104,0.00078460335,0.029801238],"study_design_scores_gemma":[0.000009516765,0.00034988462,0.9939972,0.0000388082,0.000070459675,0.00006543144,0.0010217975,0.00087084825,0.0008658555,0.00086227997,0.0018282054,0.0000197417],"about_ca_topic_score_codex":0.0075187176,"about_ca_topic_score_gemma":0.007301133,"teacher_disagreement_score":0.0075187176,"about_ca_system_score_codex":0.0012556178,"about_ca_system_score_gemma":0.0014783926,"threshold_uncertainty_score":0.014949918},"labels":[],"label_agreement":null},{"id":"W3209113192","doi":"10.2139/ssrn.3945075","title":"Benchmark Currency Stochastic Discount Factors","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; HEC Montréal","funders":"","keywords":"Econometrics; Stochastic discount factor; Benchmark (surveying); Economics; Currency; Financial economics; Computer science; Capital asset pricing model; Monetary economics; Geography","score_opus":0.017818715619342528,"score_gpt":0.21518235891130177,"score_spread":0.19736364329195924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209113192","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.268705,0.005343038,0.46952334,0.005869013,0.0014675652,0.0002790973,0.006660555,0.00143719,0.24071522],"genre_scores_gemma":[0.93749166,0.0019430103,0.032196254,0.0002721241,0.00031041206,0.00013831159,0.0019371618,0.00020716764,0.025503939],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989697,0.00039176003,0.000067928006,0.00020874669,0.00019245176,0.00016950053],"domain_scores_gemma":[0.99368817,0.0027522917,0.0007300501,0.0013376718,0.001021403,0.0004704013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030208891,0.00078504626,0.001032508,0.0009945997,0.0005152765,0.0034394928,0.0014907051,0.0017671164,0.0154468585],"category_scores_gemma":[0.029864697,0.00026096156,0.0005258983,0.0015052682,0.0009327089,0.0032623797,0.0009181004,0.0016739754,0.0018143575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029273736,0.000057683163,0.0005481821,0.000081383936,0.000037863618,0.00006754517,0.000046280908,0.090048924,0.00041603926,0.8805655,0.008791276,0.019046592],"study_design_scores_gemma":[0.00013269453,0.00007076772,0.00061496755,0.000057193043,0.000039822375,0.00009180461,0.000061397106,0.29220977,0.00089985906,0.69154644,0.014237948,0.000037356465],"about_ca_topic_score_codex":0.0035518375,"about_ca_topic_score_gemma":0.0012907701,"teacher_disagreement_score":0.0154468585,"about_ca_system_score_codex":0.0014708611,"about_ca_system_score_gemma":0.0011547452,"threshold_uncertainty_score":0.051674962},"labels":[],"label_agreement":null},{"id":"W3209614957","doi":"10.2139/ssrn.3895698","title":"Skilled Active Liquidity Management – A Natural Experiment","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Business; Market liquidity; Natural (archaeology); Natural experiment; Finance; Medicine; Geography","score_opus":0.01181380338733646,"score_gpt":0.21667298955235156,"score_spread":0.2048591861650151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209614957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859638,0.0000699393,0.004471008,0.00064540596,0.00016436575,0.0010477207,0.00027535614,0.000077925135,0.0072845034],"genre_scores_gemma":[0.9788544,0.00008765677,0.0068168086,0.0011120433,0.000121187004,0.0024008728,0.00034378274,0.00003473079,0.010228417],"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9986255,0.00042202213,0.00009940379,0.00034105364,0.00020954265,0.0003024654],"domain_scores_gemma":[0.9869927,0.0070190514,0.0012467351,0.0025926668,0.0003792671,0.001769689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003487162,0.0006708986,0.00075637625,0.00035690886,0.0013151002,0.0017942343,0.001507267,0.0034997966,0.016585553],"category_scores_gemma":[0.012013455,0.0004744787,0.00041210867,0.00023475545,0.002956528,0.0015915607,0.0016710135,0.002635919,0.0022386708],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.22487003,0.39642063,0.025652396,0.0018275206,0.0006121613,0.0022093216,0.0073197572,0.018161368,0.09810126,0.09368935,0.022727035,0.10840915],"study_design_scores_gemma":[0.11536377,0.3610455,0.05302945,0.0005118118,0.00071704056,0.0015600704,0.005167138,0.07445477,0.023454929,0.32392278,0.040145822,0.00062694744],"about_ca_topic_score_codex":0.0011056766,"about_ca_topic_score_gemma":0.0010932189,"teacher_disagreement_score":0.016585553,"about_ca_system_score_codex":0.0005391131,"about_ca_system_score_gemma":0.0014191112,"threshold_uncertainty_score":0.055484235},"labels":[],"label_agreement":null},{"id":"W3209901964","doi":"10.33423/jabe.v23i3.4342","title":"Wealth Effects of Dividend Announcements on Bondholders: The Case of Taiwan Bond Market","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bond; Insider; Dividend; Capital market; Monetary economics; Business; Insider trading; Corporate bond; Shareholder; Event study; Bond market; Financial system; Financial market; Cash; Financial economics; Economics; Finance; Corporate governance","score_opus":0.017485552690767292,"score_gpt":0.20383256831827565,"score_spread":0.18634701562750836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209901964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962645,0.00032287432,0.0005022256,0.0007787585,0.000015208662,0.000019038387,0.000081052436,0.000013589133,0.002002697],"genre_scores_gemma":[0.9992785,0.00010718247,0.00008377917,0.00002888736,0.000024334853,0.000004078733,0.00005639793,0.0000024709857,0.00041442722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905974,0.00034983255,0.000051374038,0.00015659645,0.000086079235,0.0002964325],"domain_scores_gemma":[0.97530216,0.017658854,0.003671986,0.0010095,0.000982741,0.0013746422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044003217,0.0004059387,0.0010063037,0.0017274455,0.0012233369,0.0022125544,0.0008772008,0.002077134,0.0063744187],"category_scores_gemma":[0.015490108,0.0003361776,0.0011866383,0.00093078025,0.0014361604,0.003026157,0.0014835868,0.0027439608,0.00029069747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042688344,0.0022466085,0.81704056,0.00028586565,0.0009523286,0.0274522,0.0023758714,0.059869524,0.00872531,0.045399178,0.0051831654,0.026200552],"study_design_scores_gemma":[0.0007482266,0.0010837987,0.48942298,0.000057547844,0.0016033874,0.0015267193,0.004370472,0.47046366,0.0037492055,0.024981447,0.0017437002,0.0002487147],"about_ca_topic_score_codex":0.025616312,"about_ca_topic_score_gemma":0.012291277,"teacher_disagreement_score":0.025616312,"about_ca_system_score_codex":0.00094724575,"about_ca_system_score_gemma":0.0006795789,"threshold_uncertainty_score":0.050934434},"labels":[],"label_agreement":null},{"id":"W3209995345","doi":"10.3390/jrfm14110514","title":"Empirical Analysis of MSCI China A-Shares","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predictability; Portfolio; Index (typography); China; Perspective (graphical); Sample (material); Financial economics; Investment (military); Empirical research; Business; Economics; Foreign portfolio investment; Econometrics; Computer science; Microeconomics; Return on investment; Statistics; Open-ended investment company; Mathematics; Artificial intelligence","score_opus":0.02099854919291819,"score_gpt":0.23222146257898993,"score_spread":0.21122291338607174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209995345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99557954,0.00013167705,0.0004743632,0.00011478057,0.0000054359716,0.000016937078,0.0007395438,0.000016650927,0.0029210094],"genre_scores_gemma":[0.9984877,0.000053735883,0.00011450489,0.000009739869,0.000014050795,0.0000057291604,0.00077967724,0.0000022549102,0.00053267274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995915,0.000051530078,0.00003009687,0.00006577636,0.00018959922,0.000071471026],"domain_scores_gemma":[0.9961157,0.00074969884,0.0015967499,0.0002371592,0.0008078553,0.00049288094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007087502,0.00029496444,0.00025673385,0.001981452,0.00041079492,0.00089075236,0.000421874,0.00026961073,0.002476491],"category_scores_gemma":[0.0036750296,0.000134905,0.00025833675,0.0032921252,0.00042543584,0.0008594098,0.00064483687,0.00039053554,0.0003167203],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075848795,0.000053792697,0.9701618,0.000048965034,0.000087777706,0.00050529395,0.00041998623,0.004484337,0.001312804,0.005485746,0.0025151097,0.014848584],"study_design_scores_gemma":[0.000014336036,0.00008877959,0.95643026,0.000018669312,0.00004502264,0.00021546004,0.00065765297,0.033963647,0.0016097863,0.0013562535,0.005576526,0.000023570892],"about_ca_topic_score_codex":0.017238012,"about_ca_topic_score_gemma":0.0144218905,"teacher_disagreement_score":0.017238012,"about_ca_system_score_codex":0.0010971088,"about_ca_system_score_gemma":0.00093637157,"threshold_uncertainty_score":0.034275353},"labels":[],"label_agreement":null},{"id":"W3210558837","doi":"10.2139/ssrn.3632315","title":"Whoever Has Will Be Given More: Information Sharing in Financial Markets","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Financial market; Financial system; Economics; Finance; Financial economics","score_opus":0.02231028560201615,"score_gpt":0.19975948810685787,"score_spread":0.17744920250484172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210558837","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0327111,0.0726042,0.0118253045,0.53729737,0.030637162,0.000055836408,0.0011625604,0.00036900246,0.31333742],"genre_scores_gemma":[0.5439664,0.09433732,0.0033174169,0.03058169,0.054154214,0.00010465145,0.0006033986,0.0003447368,0.2725902],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99878865,0.00044371613,0.000055859804,0.00020387063,0.0003642362,0.00014367227],"domain_scores_gemma":[0.98799837,0.007942716,0.0009298262,0.00061445765,0.0013549743,0.0011597266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00276173,0.00027935125,0.0010328542,0.0011380158,0.0017228419,0.007700674,0.00085747935,0.0057726908,0.10319687],"category_scores_gemma":[0.022911629,0.00027210455,0.00047943616,0.0030550037,0.0012976904,0.014398846,0.0014086203,0.002195346,0.0154835945],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015069151,0.0001424573,0.0024470906,0.00072103756,0.000049568163,0.00025254424,0.00096454384,0.00085820095,0.00031934757,0.15032963,0.54660046,0.2971645],"study_design_scores_gemma":[0.000097134536,0.00013908374,0.008754645,0.0019328429,0.00014599781,0.00090826943,0.0025774324,0.010252313,0.0012779222,0.37401336,0.5997158,0.00018513831],"about_ca_topic_score_codex":0.001959438,"about_ca_topic_score_gemma":0.0016821208,"teacher_disagreement_score":0.10319687,"about_ca_system_score_codex":0.00092569616,"about_ca_system_score_gemma":0.00116861,"threshold_uncertainty_score":0.3452279},"labels":[],"label_agreement":null},{"id":"W3211348267","doi":"10.5267/j.ijdns.2021.9.012","title":"Short and/or long-term investment choice: Artificial intelligence analysis of the role of both or-ganizational and behavioral determinants","year":2021,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Remuneration; Locus of control; Microeconomics; Economics; Horizon; Investment (military); Time horizon; Term (time); Econometrics; Psychology; Social psychology; Finance","score_opus":0.08789108542988366,"score_gpt":0.3342019639195459,"score_spread":0.2463108784896622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211348267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956174,0.000077280805,0.0033886111,0.00015041788,0.0000021009882,0.000010173062,0.000079566234,0.0000069898765,0.0006675075],"genre_scores_gemma":[0.9984976,0.00003302091,0.0011607559,0.000014295361,0.0000029493565,0.0000058519295,0.00010521551,9.764384e-7,0.0001792328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992902,0.00049438333,0.000026302225,0.00006317741,0.000065906075,0.000060000046],"domain_scores_gemma":[0.98437065,0.013071738,0.0015275212,0.00039127556,0.00034964655,0.0002891664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024802266,0.00031305544,0.00028001628,0.0008933158,0.0002225759,0.0011149065,0.0003558219,0.00042425,0.0015593086],"category_scores_gemma":[0.011290128,0.00010526081,0.0004358688,0.0007757399,0.00040562576,0.0004721185,0.00032745002,0.0005479802,0.000121937395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035411,0.00049115455,0.92669487,0.000059146576,0.00029984876,0.0001531923,0.00033857988,0.03476905,0.0007774144,0.0035485595,0.00024696,0.032267075],"study_design_scores_gemma":[0.000034099165,0.0002046581,0.4625131,0.000026647276,0.00014540077,0.00008952075,0.0004697499,0.52874655,0.0007838261,0.006270325,0.00069343613,0.000022784516],"about_ca_topic_score_codex":0.0073579224,"about_ca_topic_score_gemma":0.0062578134,"teacher_disagreement_score":0.0073579224,"about_ca_system_score_codex":0.0006210437,"about_ca_system_score_gemma":0.00046681383,"threshold_uncertainty_score":0.0146301985},"labels":[],"label_agreement":null},{"id":"W3211639627","doi":"10.15173/esr.v25i1.4661","title":"Spot Prices and Forward Premia on the MISO Exchange","year":2021,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Spot contract; Economics; Forward rate; Monetary economics; Econometrics; Financial economics; Futures contract; Interest rate","score_opus":0.07492518111931391,"score_gpt":0.2586115744650262,"score_spread":0.1836863933457123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211639627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94919384,0.010017054,0.011336145,0.002462283,0.00012716837,0.00002322774,0.0007679818,0.000047668906,0.026024511],"genre_scores_gemma":[0.99090236,0.0047979844,0.00068157347,0.000053205185,0.00014336043,0.0000047491867,0.00031718545,0.000009054008,0.0030904624],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99978703,0.00005251606,0.000013271772,0.0000331359,0.00009142993,0.000022680146],"domain_scores_gemma":[0.9964251,0.0019843774,0.001036241,0.00012024132,0.00030104784,0.00013305452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001354999,0.00047246763,0.00046964933,0.0012874305,0.00029989472,0.0020089278,0.00035513702,0.00083094684,0.0027487825],"category_scores_gemma":[0.006387374,0.0002298549,0.00045803603,0.001395969,0.0008402442,0.002844919,0.0005320832,0.0012964099,0.0003173345],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012639137,0.0002105887,0.1286582,0.0005416947,0.0006184796,0.0024256743,0.0011295051,0.10626876,0.0084954705,0.6073936,0.0061953957,0.1367986],"study_design_scores_gemma":[0.00011034706,0.00048766544,0.32427883,0.00047195258,0.00043415165,0.0009917994,0.00085422746,0.14871228,0.005524493,0.4926948,0.025189025,0.00025049297],"about_ca_topic_score_codex":0.0024416568,"about_ca_topic_score_gemma":0.0017081845,"teacher_disagreement_score":0.0027487825,"about_ca_system_score_codex":0.0010127134,"about_ca_system_score_gemma":0.0003596338,"threshold_uncertainty_score":0.009195626},"labels":[],"label_agreement":null},{"id":"W3212007665","doi":"10.1111/jofi.13096","title":"Skill, Scale, and Value Creation in the Mutual Fund Industry","year":2021,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economic rent; Scalability; Value (mathematics); Scale (ratio); Investment (military); Closed-end fund; Capital (architecture); Economics; Fund of funds; Monetary economics; Microeconomics; Business; Computer science; Machine learning; Incentive","score_opus":0.03356831572386888,"score_gpt":0.24027720133200953,"score_spread":0.20670888560814066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212007665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995849,0.000107697786,0.0015307692,0.00014669835,0.00000297554,0.0000075067483,0.000024498977,0.000007920007,0.0023228459],"genre_scores_gemma":[0.99965096,0.00001602001,0.00017026247,0.0000074519444,0.0000059493273,0.0000019267484,0.000012026891,7.218943e-7,0.00013462847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994061,0.00016683975,0.00004268375,0.00008405157,0.00017652671,0.0001238256],"domain_scores_gemma":[0.9791397,0.01090937,0.006130332,0.00095862517,0.0013693213,0.0014926201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002896248,0.00015731696,0.00027242952,0.0016043795,0.0002936902,0.001185609,0.00026475886,0.0003874571,0.0015563293],"category_scores_gemma":[0.019182457,0.00009129668,0.00023148947,0.0007762164,0.0011393885,0.0012519027,0.0013847505,0.00039307406,0.00015722532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019358745,0.00014798073,0.9328714,0.000039920462,0.00015282586,0.00022199884,0.00051177485,0.019637449,0.0022889616,0.010067562,0.00052054535,0.033346027],"study_design_scores_gemma":[0.000046490313,0.00020792201,0.89885825,0.000039238363,0.0000631374,0.00013246157,0.0006322478,0.064446606,0.0017257663,0.032792654,0.0010175528,0.00003774427],"about_ca_topic_score_codex":0.003750502,"about_ca_topic_score_gemma":0.0033477957,"teacher_disagreement_score":0.003750502,"about_ca_system_score_codex":0.0007704899,"about_ca_system_score_gemma":0.00048050194,"threshold_uncertainty_score":0.015317023},"labels":[],"label_agreement":null},{"id":"W3212195963","doi":"10.1108/imefm-04-2020-0151","title":"Price-limit effectiveness: evidence from the Borsa Istanbul (BIST)","year":2021,"lang":"en","type":"article","venue":"International Journal of Islamic and Middle Eastern Finance and Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; Concordia University; Brock University","funders":"","keywords":"Economics; Autoregressive integrated moving average; Econometrics; Credence; Financial market; Robustness (evolution); Value (mathematics); Index (typography); Price index; Financial economics; Monetary economics; Time series; Statistics; Computer science; Mathematics; Finance","score_opus":0.03494279708777229,"score_gpt":0.2272765665036142,"score_spread":0.1923337694158419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212195963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945651,0.0013689433,0.000105978565,0.00021919579,0.00002780937,0.000008052922,0.0005425647,0.000013306255,0.0031490305],"genre_scores_gemma":[0.99828017,0.00041123343,0.000049536684,0.00007249763,0.000028045968,0.0000048137977,0.0008224085,0.000008024554,0.00032319847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820316,0.00033195876,0.00018789792,0.00033809213,0.000654823,0.00028406584],"domain_scores_gemma":[0.99170274,0.0018691213,0.0045930794,0.00043801748,0.0009136353,0.00048344652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020044444,0.0003153362,0.0005802756,0.001830705,0.00044137365,0.002171398,0.0008585873,0.00065994536,0.003251303],"category_scores_gemma":[0.0065540276,0.00024261189,0.00030462432,0.0027971752,0.0010427072,0.0012165919,0.0015369165,0.0006975952,0.0010547332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008973735,0.00030743104,0.9682129,0.00020664424,0.00019076688,0.00078515447,0.001529002,0.00060974184,0.00047958104,0.0008748708,0.0024971105,0.02340946],"study_design_scores_gemma":[0.00001284853,0.00018672149,0.99456584,0.000063020634,0.000035021112,0.0003184228,0.002148654,0.00039458208,0.00020750641,0.00020449965,0.001851499,0.000011350256],"about_ca_topic_score_codex":0.009016768,"about_ca_topic_score_gemma":0.006560727,"teacher_disagreement_score":0.009016768,"about_ca_system_score_codex":0.0011009334,"about_ca_system_score_gemma":0.0006905003,"threshold_uncertainty_score":0.0179286},"labels":[],"label_agreement":null},{"id":"W321253149","doi":"10.2139/ssrn.2517704","title":"Tightness of Funding Constraints and Asset Prices: Insights from Mutual Fund Risk Taking","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mutual fund; Target date fund; Business; Economics; Asset (computer security); Fund administration; Investment fund; Finance; Actuarial science; Financial economics; Open-end fund; Computer science; Market liquidity; Institutional investor; Corporate governance","score_opus":0.026686159317363824,"score_gpt":0.22158211470541292,"score_spread":0.1948959553880491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W321253149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717147,0.0014257224,0.007880152,0.0029554842,0.00002028069,0.000018178851,0.00019812012,0.000041546693,0.0157458],"genre_scores_gemma":[0.99874216,0.0002725696,0.0002336974,0.000035388268,0.00003058423,0.0000040779396,0.000029901228,0.0000061442774,0.00064557313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99936956,0.00018249499,0.00004646914,0.00010040331,0.00012206019,0.000179027],"domain_scores_gemma":[0.9831753,0.008772275,0.0056974306,0.00062318216,0.00051181356,0.0012200499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024782266,0.00031687797,0.0009897202,0.00084329693,0.00071054674,0.005271596,0.00091539696,0.0023821716,0.0058444445],"category_scores_gemma":[0.027588032,0.0004626503,0.00046565625,0.0011331474,0.0015610697,0.0044321744,0.0017768508,0.0028158752,0.00026631102],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012552288,0.00057510287,0.2141959,0.00031424835,0.00045453006,0.002880872,0.004221789,0.12052943,0.0038840515,0.5721617,0.0069350502,0.07259208],"study_design_scores_gemma":[0.00011784375,0.00027619736,0.16804966,0.00009672913,0.0002151487,0.00057841383,0.0024879202,0.105599545,0.0008312582,0.71668345,0.0049293814,0.00013441093],"about_ca_topic_score_codex":0.0071861297,"about_ca_topic_score_gemma":0.0056044874,"teacher_disagreement_score":0.0071861297,"about_ca_system_score_codex":0.001464499,"about_ca_system_score_gemma":0.00093524193,"threshold_uncertainty_score":0.019551635},"labels":[],"label_agreement":null},{"id":"W3212554351","doi":"10.3390/jrfm14110556","title":"Order Routing Decisions for a Fragmented Market: A Review","year":2021,"lang":"en","type":"review","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Equity (law); Market microstructure; Volatility (finance); Economics; Financial economics; Order (exchange); Business; Industrial organization; Microeconomics; Finance; Political science","score_opus":0.04681279741374953,"score_gpt":0.27905425904274606,"score_spread":0.23224146162899653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212554351","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040009673,0.9977659,0.00034872507,0.0002511056,0.00005619641,0.000006169305,0.00002965797,0.0000055071414,0.0011366666],"genre_scores_gemma":[0.0024599175,0.99674857,0.00034826418,0.00009312902,0.00010512311,0.000006536614,0.000039149392,0.000002133294,0.00019713947],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995259,0.00010704545,0.00007417884,0.00010902751,0.00015143555,0.000032309315],"domain_scores_gemma":[0.9964324,0.0026159773,0.00048778916,0.000052288517,0.00033532793,0.000076139004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011369728,0.00097632717,0.0016053491,0.0029046421,0.00042541657,0.0021616903,0.0013868251,0.0015657919,0.0054152044],"category_scores_gemma":[0.0049234238,0.0005767582,0.00077580416,0.0042809597,0.0007929451,0.0029981234,0.00065611047,0.0011549802,0.001201608],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000926933,0.00012978043,0.0010382805,0.038866177,0.00018956269,0.00016446812,0.00014103515,0.0028932395,0.00042118935,0.017591326,0.016198216,0.92227393],"study_design_scores_gemma":[0.000043584412,0.00032433774,0.0051606456,0.037174642,0.0006289748,0.0014517868,0.0004903623,0.002276063,0.0007855223,0.022364795,0.92916185,0.00013740685],"about_ca_topic_score_codex":0.003643251,"about_ca_topic_score_gemma":0.00446132,"teacher_disagreement_score":0.0054152044,"about_ca_system_score_codex":0.0010516129,"about_ca_system_score_gemma":0.0024550569,"threshold_uncertainty_score":0.01811564},"labels":[],"label_agreement":null},{"id":"W3212794219","doi":"10.1287/mnsc.2021.4117","title":"Skill Acquisition and Data Sales","year":2021,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Volatility (finance); Vendor; Business; Sample (material); Dreyfus model of skill acquisition; Raw data; Finance; Econometrics; Economics; Marketing; Computer science","score_opus":0.045497521638533996,"score_gpt":0.2497655180379821,"score_spread":0.20426799639944812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212794219","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32755455,0.0018943141,0.5109871,0.010870436,0.0002329885,0.00046117342,0.0022293648,0.0004959034,0.14527413],"genre_scores_gemma":[0.9328389,0.00089049153,0.018884005,0.00031594417,0.00012352131,0.00018365013,0.00040295636,0.00008038045,0.046280116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991234,0.0002156232,0.000043529613,0.00017249312,0.00018882687,0.00025621985],"domain_scores_gemma":[0.99321187,0.0044395374,0.0009763155,0.00039519367,0.00046166393,0.00051544025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023955284,0.0009215166,0.0011496262,0.0013990932,0.0007819862,0.003536066,0.002397049,0.0034668169,0.026226107],"category_scores_gemma":[0.012789448,0.00076080323,0.001242953,0.001184627,0.0016452615,0.006110797,0.0018327092,0.0028499463,0.002317653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019743522,0.00032358116,0.0072388253,0.00015134896,0.00006287036,0.0008262738,0.00028611647,0.2777734,0.001555804,0.6752858,0.0062821154,0.030016333],"study_design_scores_gemma":[0.000082861436,0.00014796392,0.0022331565,0.00007117392,0.00003775565,0.00036285215,0.0001261503,0.76142365,0.000527174,0.2286805,0.0062533077,0.000053471056],"about_ca_topic_score_codex":0.007512401,"about_ca_topic_score_gemma":0.004441549,"teacher_disagreement_score":0.026226107,"about_ca_system_score_codex":0.002350049,"about_ca_system_score_gemma":0.0014987999,"threshold_uncertainty_score":0.08773506},"labels":[],"label_agreement":null},{"id":"W3212879993","doi":"10.2139/ssrn.3961096","title":"Information-Driven Volatility","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Volatility (finance); Business; Financial economics; Economics","score_opus":0.012091652805448735,"score_gpt":0.19723648770319388,"score_spread":0.18514483489774514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212879993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.450131,0.0042251158,0.40169957,0.013688155,0.0012843285,0.00007414068,0.0010454331,0.0011529572,0.12669928],"genre_scores_gemma":[0.9876223,0.0005868532,0.003093952,0.00024172192,0.00025979787,0.000012166016,0.00013086012,0.000060647853,0.007991627],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994808,0.00012192451,0.00002572834,0.000113751856,0.0001701898,0.000087696906],"domain_scores_gemma":[0.9964234,0.001978598,0.00046546926,0.0005002508,0.00039229984,0.00023982456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010670257,0.00034259967,0.0005881467,0.0007812171,0.00044875086,0.002672659,0.00070861005,0.0012649026,0.007147978],"category_scores_gemma":[0.0112275025,0.0004665627,0.0005622298,0.0006128974,0.00081899314,0.003333664,0.0011464565,0.0015336989,0.0010419785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009970493,0.00006202876,0.002992706,0.00007018155,0.000061945524,0.00028880392,0.00012356731,0.05032113,0.0036426284,0.907116,0.007939946,0.027281266],"study_design_scores_gemma":[0.000014849264,0.000032634765,0.0019810842,0.000019411726,0.000022471148,0.00024739205,0.00003083854,0.3901528,0.0014023307,0.6038856,0.0021771425,0.0000334154],"about_ca_topic_score_codex":0.00055161177,"about_ca_topic_score_gemma":0.00043074103,"teacher_disagreement_score":0.007147978,"about_ca_system_score_codex":0.0006562671,"about_ca_system_score_gemma":0.00049854873,"threshold_uncertainty_score":0.02391231},"labels":[],"label_agreement":null},{"id":"W3213095500","doi":"10.3390/jrfm14110551","title":"How Many Stocks Are Sufficient for Equity Portfolio Diversification? A Review of the Literature","year":2021,"lang":"en","type":"review","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Portfolio; Asset allocation; Equity (law); Financial economics; Economics; Time horizon; Stock (firearms); Financial crisis; Financial market; Stock market; Business; Econometrics; Finance; Geography","score_opus":0.050888861493056485,"score_gpt":0.27918888913232165,"score_spread":0.22830002763926516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213095500","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00091381185,0.99761,0.00014210408,0.00044814267,0.00006977096,0.000020180109,0.00019139233,0.000004398224,0.0006002382],"genre_scores_gemma":[0.0056092055,0.9934794,0.0003242043,0.00021743288,0.00011647115,0.00002868498,0.00015697874,0.000001970989,0.00006570693],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972326,0.00044066433,0.0012209279,0.00036738385,0.00064856786,0.000089864014],"domain_scores_gemma":[0.9800465,0.014622722,0.0030525674,0.00022072565,0.0018192242,0.00023837383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039558075,0.0010594623,0.0031117464,0.022814019,0.00045026233,0.0037177396,0.001478942,0.0018482333,0.0037379656],"category_scores_gemma":[0.023211256,0.0007406252,0.0022596654,0.022467336,0.00078482565,0.0040195677,0.00085931685,0.00078560534,0.00059453124],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019913325,0.000063794054,0.0040578577,0.45315796,0.0019454475,0.00033369096,0.0004794329,0.0007032252,0.0007453673,0.005145068,0.010635621,0.5225334],"study_design_scores_gemma":[0.00012770934,0.00044669412,0.037524268,0.61119914,0.014537058,0.0028136976,0.002374729,0.00074822345,0.001213745,0.013602929,0.31526208,0.00014982412],"about_ca_topic_score_codex":0.0043593077,"about_ca_topic_score_gemma":0.005765656,"teacher_disagreement_score":0.022814019,"about_ca_system_score_codex":0.0021777258,"about_ca_system_score_gemma":0.0064421236,"threshold_uncertainty_score":0.020920575},"labels":[],"label_agreement":null},{"id":"W3213131073","doi":"10.5430/afr.v10n4p34","title":"Asset Allocation via Machine Learning","year":2021,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Computer science; Asset allocation; Portfolio optimization; Portfolio; Capital asset pricing model; Portfolio allocation; Econometrics; Economics; Mathematical optimization; Machine learning; Financial economics; Mathematics","score_opus":0.06298610544683254,"score_gpt":0.29279457116652624,"score_spread":0.2298084657196937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213131073","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036456708,0.0004775619,0.99225825,0.00034677694,0.000037965252,0.000027414202,0.000042360127,0.00016835985,0.0029956927],"genre_scores_gemma":[0.45210305,0.0010682335,0.5390462,0.00038940637,0.00029640316,0.0003693475,0.00028208597,0.00010812991,0.006337104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990089,0.00048743244,0.00004441224,0.000148384,0.00025139135,0.000059466885],"domain_scores_gemma":[0.9979296,0.0013590509,0.00022431643,0.00020503793,0.00021258705,0.000069383255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019072664,0.0007361956,0.0012003805,0.00096649956,0.00054764474,0.0016031876,0.0013844233,0.0016707391,0.0035950728],"category_scores_gemma":[0.007888297,0.00047612426,0.00058876246,0.0010820219,0.001264767,0.0018406389,0.0014487422,0.0019251672,0.00085180823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016033295,0.000036584242,0.00045797756,0.000058904745,0.0000317495,0.00003005142,0.000022418784,0.8706871,0.00029408422,0.087837875,0.0013208397,0.03920634],"study_design_scores_gemma":[0.0000040338214,0.0000044354515,0.000030953324,0.0000067252117,0.0000015606141,0.000006495271,0.0000019387662,0.96796304,0.00006327481,0.03130603,0.00060909666,0.000002379346],"about_ca_topic_score_codex":0.0030193399,"about_ca_topic_score_gemma":0.0027534398,"teacher_disagreement_score":0.0035950728,"about_ca_system_score_codex":0.0012506024,"about_ca_system_score_gemma":0.0015081184,"threshold_uncertainty_score":0.012026727},"labels":[],"label_agreement":null},{"id":"W3213598689","doi":"10.3390/jrfm14110550","title":"Unleveraged Portfolios and Pure Allocation Return","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Leverage (statistics); Asset allocation; Rate of return on a portfolio; Econometrics; Stochastic dominance; Portfolio optimization; Efficient frontier; Black–Litterman model; Project portfolio management; Computer science; Post-modern portfolio theory; Modern portfolio theory; Homogeneous; Replicating portfolio; Economics; Microeconomics; Financial economics; Mathematics; Machine learning","score_opus":0.012025250377436963,"score_gpt":0.1913392212649841,"score_spread":0.17931397088754714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213598689","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44947347,0.00093021785,0.5366752,0.00035894933,0.000028458355,0.000049416925,0.00018949226,0.00018236645,0.01211236],"genre_scores_gemma":[0.9651167,0.0002143828,0.032677658,0.00007448388,0.00004624263,0.000042120137,0.000120557095,0.000036230824,0.0016715754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99712235,0.0012207952,0.00020422539,0.00049649004,0.00070530135,0.00025081035],"domain_scores_gemma":[0.9899615,0.00507724,0.0024723094,0.0016958464,0.00050884276,0.00028415135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045824237,0.0006976763,0.00068183197,0.0016160635,0.00046690725,0.002719772,0.00078225863,0.0009640942,0.0024935175],"category_scores_gemma":[0.021785825,0.00032221555,0.00051304145,0.0014987662,0.0021489912,0.0042304303,0.0021724561,0.00094062963,0.00035202224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005222177,0.00022156262,0.030020636,0.00021707546,0.00031111695,0.00054850057,0.00050431455,0.13362114,0.018048475,0.6296552,0.0009804477,0.18534932],"study_design_scores_gemma":[0.000051258787,0.0005412846,0.03247493,0.00007723617,0.00007350357,0.00068658823,0.00015815115,0.24283491,0.010740539,0.70856446,0.0037025963,0.00009460918],"about_ca_topic_score_codex":0.00027887174,"about_ca_topic_score_gemma":0.00021592,"teacher_disagreement_score":0.0045824237,"about_ca_system_score_codex":0.0007388118,"about_ca_system_score_gemma":0.0004048416,"threshold_uncertainty_score":0.024234414},"labels":[],"label_agreement":null},{"id":"W3215208940","doi":"10.5539/ibr.v15n1p1","title":"Tick Size and Informed Trading: Evidence from the Taiwanese Stock Market","year":2021,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adverse selection; Tick size; Market liquidity; Volatility (finance); Order (exchange); Business; Stock market; Financial economics; Stock (firearms); Economics; Trading strategy; Monetary economics; Microeconomics; Finance","score_opus":0.1331188183172903,"score_gpt":0.33286709392582475,"score_spread":0.19974827560853445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215208940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99853504,0.00021613631,0.00015958032,0.00011067952,0.0000022702209,0.000005578347,0.00008574292,0.0000042732513,0.0008807695],"genre_scores_gemma":[0.99938464,0.00016578777,0.00007224974,0.00002413354,0.000009133993,0.0000016306187,0.00014715476,0.000001356997,0.00019382667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973863,0.00006786131,0.000032597396,0.00003947145,0.00007997991,0.0000414112],"domain_scores_gemma":[0.9839019,0.008060976,0.006001018,0.0009406824,0.0005120375,0.00058327336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00117996,0.00022928798,0.0003078804,0.0010054982,0.00029128036,0.0010919513,0.00041166364,0.00074748957,0.003593032],"category_scores_gemma":[0.009797204,0.00017620735,0.00034419188,0.0010023663,0.0006496964,0.0012205824,0.0004984501,0.0006659047,0.00033550075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011142659,0.0005603239,0.96417576,0.000092076094,0.0003316945,0.0012945288,0.00059117406,0.006958313,0.001666109,0.0030696234,0.00063787797,0.01950823],"study_design_scores_gemma":[0.00016959095,0.00039078802,0.96406907,0.00002501209,0.00018556313,0.00043162954,0.0007083171,0.027524954,0.0010164642,0.0044494634,0.0009758931,0.000053304448],"about_ca_topic_score_codex":0.009902326,"about_ca_topic_score_gemma":0.009122024,"teacher_disagreement_score":0.009902326,"about_ca_system_score_codex":0.0002961866,"about_ca_system_score_gemma":0.00026232484,"threshold_uncertainty_score":0.019689381},"labels":[],"label_agreement":null},{"id":"W3215393045","doi":"10.2139/ssrn.3971868","title":"Does gamified trading stimulate risk taking?","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Business; Psychology; Financial economics; Economics","score_opus":0.016918314440856126,"score_gpt":0.21646912183508552,"score_spread":0.1995508073942294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215393045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9771836,0.001628757,0.0024380453,0.002716461,0.00026141558,0.000040201743,0.00007577129,0.00007380917,0.015581926],"genre_scores_gemma":[0.99673885,0.0006585926,0.0009998123,0.00022577374,0.0000641883,0.000012205305,0.00001810193,0.000009841286,0.0012726476],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996476,0.00019466171,0.000015280142,0.000038344693,0.00004706557,0.00005704865],"domain_scores_gemma":[0.9964134,0.002310929,0.00040127314,0.00031447096,0.00009387353,0.0004660829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009431838,0.00022751816,0.0003733857,0.00020601742,0.00015319706,0.0012385236,0.00028249962,0.00096941757,0.0114061],"category_scores_gemma":[0.008207837,0.00017210668,0.0003483076,0.00023257727,0.00043789737,0.000982254,0.00053960946,0.0009882946,0.0007142662],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.027954798,0.012479247,0.100546196,0.0019259924,0.0011011306,0.001746571,0.0020907347,0.0060882997,0.059954178,0.053726528,0.0056726253,0.7267137],"study_design_scores_gemma":[0.004693539,0.020783514,0.48458225,0.0011912828,0.0018599979,0.0031469201,0.004084989,0.04567744,0.03924702,0.3684328,0.026140817,0.000159504],"about_ca_topic_score_codex":0.00019737313,"about_ca_topic_score_gemma":0.0002265419,"teacher_disagreement_score":0.0114061,"about_ca_system_score_codex":0.00011915894,"about_ca_system_score_gemma":0.0003733421,"threshold_uncertainty_score":0.038157165},"labels":[],"label_agreement":null},{"id":"W3215625297","doi":"10.1111/acfi.13168","title":"CFO facial beauty and bank loan contracting","year":2023,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Attractiveness; Loan; Business; Beauty; Facial attractiveness; Finance; Psychology; Political science","score_opus":0.024206665642063533,"score_gpt":0.21632287613768733,"score_spread":0.1921162104956238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215625297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963337,0.000058913265,0.00027277117,0.00007194391,0.00000525706,0.000006149303,0.000036644502,0.0000015219665,0.0032131872],"genre_scores_gemma":[0.99928766,0.000024082918,0.00010627605,0.0000118627295,0.00000581655,0.0000016371605,0.000013838786,8.84576e-7,0.0005479925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975246,0.0000842001,0.000012495168,0.000029782983,0.00007422531,0.00004682814],"domain_scores_gemma":[0.9964923,0.0009866204,0.0016659505,0.00014831527,0.00023972408,0.00046703956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007171493,0.00012321504,0.00014802862,0.0004143033,0.00028395807,0.00074717525,0.000101673744,0.00024667557,0.008568205],"category_scores_gemma":[0.0040092077,0.00006524781,0.00019156403,0.0003507847,0.00035417813,0.00020966287,0.0003965998,0.00034823787,0.00040939628],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006725798,0.00021456653,0.952148,0.000039976567,0.00006169465,0.00022411878,0.00054971484,0.0010427035,0.008643141,0.00162664,0.0006161842,0.034160543],"study_design_scores_gemma":[0.0000042627967,0.000049539532,0.9974401,0.00000524545,0.000009657304,0.00010520989,0.00031039907,0.0011442993,0.00029282158,0.00036680733,0.00026704307,0.0000046572604],"about_ca_topic_score_codex":0.0024795036,"about_ca_topic_score_gemma":0.002897457,"teacher_disagreement_score":0.008568205,"about_ca_system_score_codex":0.00034322965,"about_ca_system_score_gemma":0.0001471962,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3215801987","doi":"10.1088/1742-6596/1865/4/042103","title":"Research on Mathematical Methods of Improving Fama and French Three-factor Model Based on ETF Factors","year":2021,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Market capitalization; Covariance; Index (typography); Economics; Factor analysis; Capitalization; Financial economics; Market risk; Correlation; Mathematics; Statistics; Computer science; Stock market","score_opus":0.1804810785546107,"score_gpt":0.34279712092641296,"score_spread":0.16231604237180225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215801987","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03709584,0.0010815326,0.95711917,0.00081744004,0.00014599944,0.000047289817,0.00017048111,0.0002064016,0.003315838],"genre_scores_gemma":[0.6118401,0.0031752954,0.37590653,0.00037440055,0.00046535372,0.0003169497,0.0007993231,0.00025790557,0.00686421],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984598,0.0008775571,0.00006732254,0.00025602255,0.00023201756,0.00010732195],"domain_scores_gemma":[0.9949124,0.0031222727,0.00051269133,0.00040499054,0.0009068373,0.00014074937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004962356,0.0012223829,0.0008105182,0.001858863,0.0006997365,0.0015049601,0.0012573478,0.0009302806,0.004064942],"category_scores_gemma":[0.01846936,0.00038644523,0.0018908151,0.0014740054,0.00080088153,0.0026535792,0.00077568553,0.0014760246,0.0007283408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096181015,0.000074396325,0.022305243,0.00021929183,0.0003301246,0.00041239965,0.00037218316,0.60476583,0.0016083167,0.24009772,0.004683775,0.1250346],"study_design_scores_gemma":[0.000023911896,0.000041653006,0.0029275138,0.000047576665,0.000059454494,0.00009952986,0.00007623741,0.92503124,0.00045823763,0.06733896,0.0038514226,0.000044296787],"about_ca_topic_score_codex":0.019540925,"about_ca_topic_score_gemma":0.0076928325,"teacher_disagreement_score":0.019540925,"about_ca_system_score_codex":0.0014269638,"about_ca_system_score_gemma":0.0014141088,"threshold_uncertainty_score":0.03885436},"labels":[],"label_agreement":null},{"id":"W3216333941","doi":"","title":"Testing the empirical validity of the adaptive markets hypothesis","year":2019,"lang":"en","type":"preprint","venue":"VIURRSpace (Vancouver Island University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Econometrics; Empirical research; Economics; Computer science; Statistics; Mathematics","score_opus":0.10884761348138826,"score_gpt":0.21902063351627762,"score_spread":0.11017302003488937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216333941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8559828,0.0046519754,0.03668445,0.035142727,0.000969794,0.00021461606,0.0010458567,0.00013931704,0.06516844],"genre_scores_gemma":[0.994503,0.00071565015,0.0020285062,0.000911263,0.00044098255,0.00011972107,0.00030237035,0.000023487944,0.0009549267],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9868085,0.008285525,0.0005559152,0.0018848426,0.0018402095,0.00062498625],"domain_scores_gemma":[0.674837,0.27952847,0.020494195,0.015030609,0.0073709367,0.0027387708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020935632,0.000647202,0.0011715133,0.0017446538,0.0011078211,0.0035338874,0.002461687,0.0025239498,0.018560804],"category_scores_gemma":[0.19243602,0.00034575487,0.0010064868,0.0019634827,0.009463513,0.006014567,0.002976443,0.0035655655,0.001864888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018816272,0.0014580023,0.26680595,0.0011401913,0.0025437155,0.0014719067,0.002992254,0.009226237,0.0015784185,0.5808758,0.013861232,0.11616464],"study_design_scores_gemma":[0.0008251488,0.000604558,0.12614325,0.00032414158,0.00040793206,0.00043024216,0.0028588132,0.02310029,0.00085146393,0.8349333,0.0094401,0.000080771526],"about_ca_topic_score_codex":0.0017139814,"about_ca_topic_score_gemma":0.00050871674,"teacher_disagreement_score":0.020935632,"about_ca_system_score_codex":0.0008097729,"about_ca_system_score_gemma":0.0016568785,"threshold_uncertainty_score":0.11071956},"labels":[],"label_agreement":null},{"id":"W3216449022","doi":"10.2139/ssrn.3971876","title":"Asset Pricing with Attention Guided Deep Learning","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; MindFuel; Université de Sherbrooke","funders":"","keywords":"Portfolio; Transaction cost; Capital asset pricing model; Stock (firearms); Trading strategy; Computer science; Econometrics; Financial economics; Microeconomics; Economics","score_opus":0.014847607479659308,"score_gpt":0.20893787234114258,"score_spread":0.19409026486148329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216449022","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08106163,0.0018052408,0.90705246,0.0021116093,0.0003553159,0.000037106933,0.00020459032,0.0016461352,0.0057259304],"genre_scores_gemma":[0.9183739,0.0005474032,0.07054479,0.0006486698,0.00034261413,0.00005562425,0.0002664945,0.0001528453,0.0090677375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975866,0.00008243969,0.000012021868,0.00005082354,0.000047711845,0.000048311882],"domain_scores_gemma":[0.9979845,0.0014777565,0.000096962925,0.0001259075,0.00018819013,0.00012663944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010305532,0.0006386513,0.0010849802,0.0005175538,0.00027626273,0.0012505357,0.0011374913,0.0020636192,0.0042813662],"category_scores_gemma":[0.005496086,0.0006630761,0.0005137946,0.0005978799,0.000589708,0.0020899323,0.0015730244,0.0024997045,0.0007192457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003102763,0.00024343927,0.0014041371,0.000092015194,0.00011216969,0.0001576966,0.000057980484,0.78146833,0.0019795918,0.03280534,0.007479381,0.17388967],"study_design_scores_gemma":[0.0000057486577,0.0000047443004,0.00003044072,0.0000016555754,0.0000024716958,0.0000032455641,8.5699486e-7,0.9933744,0.00007131748,0.00643639,0.00006730737,0.0000014551026],"about_ca_topic_score_codex":0.005479942,"about_ca_topic_score_gemma":0.005076604,"teacher_disagreement_score":0.005479942,"about_ca_system_score_codex":0.00068535155,"about_ca_system_score_gemma":0.00085323706,"threshold_uncertainty_score":0.0143226385},"labels":[],"label_agreement":null},{"id":"W3217393313","doi":"10.1016/j.pacfin.2021.101682","title":"Money funds manage returns","year":2021,"lang":"en","type":"article","venue":"Pacific-Basin Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Quarter (Canadian coin); China; Business; Sample (material); Economics; Monetary economics; Money market; Finance; Monetary policy; Geography","score_opus":0.02892246009141738,"score_gpt":0.20986524260010253,"score_spread":0.18094278250868515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217393313","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07472605,0.010711842,0.03980569,0.030150319,0.003062676,0.000114486786,0.0011686019,0.0013890791,0.8388713],"genre_scores_gemma":[0.6804284,0.0051139332,0.006782185,0.0015023317,0.0028678686,0.000107793916,0.00051437714,0.00030426122,0.30237892],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99932194,0.0001207163,0.00004157248,0.0000982963,0.00031991536,0.00009763177],"domain_scores_gemma":[0.99842465,0.00029052497,0.00033541504,0.00023635714,0.00050833647,0.0002047216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013014297,0.0006643539,0.000375238,0.0022602172,0.00084973295,0.0072535453,0.0006329384,0.0022799454,0.030661017],"category_scores_gemma":[0.009830956,0.0003012918,0.00029198546,0.0012691208,0.0009927636,0.006503059,0.0015060547,0.0015188745,0.012666053],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015301272,0.00006708401,0.0038892212,0.00009214715,0.0000665131,0.00017737299,0.00040803198,0.002690923,0.00149495,0.69749165,0.08471228,0.2087568],"study_design_scores_gemma":[0.0000779479,0.00012841474,0.0062262528,0.00018068188,0.00009681798,0.00028155895,0.00041934583,0.009726867,0.0027341158,0.49538723,0.48469374,0.000046907677],"about_ca_topic_score_codex":0.0016529592,"about_ca_topic_score_gemma":0.0016919698,"teacher_disagreement_score":0.030661017,"about_ca_system_score_codex":0.0015108321,"about_ca_system_score_gemma":0.0015249882,"threshold_uncertainty_score":0.10257131},"labels":[],"label_agreement":null},{"id":"W322441451","doi":"10.61190/fsr.v11i1.4720","title":"Wealth and Risk from Leveraged Stock Portfolios","year":2002,"lang":"en","type":"article","venue":"Financial Services Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Leverage (statistics); Stock (firearms); Economics; Downside risk; Financial economics; Asset allocation; Stock market; Monetary economics; Business; Portfolio","score_opus":0.029567050718083857,"score_gpt":0.21337593683267828,"score_spread":0.18380888611459442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W322441451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87733704,0.012098407,0.06374239,0.0027055517,0.00007086335,0.00006439973,0.00077253743,0.000108402775,0.0431004],"genre_scores_gemma":[0.99100435,0.002937132,0.002264616,0.000055311288,0.0000800911,0.00002028809,0.00023144693,0.00001233278,0.0033944175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99961144,0.00011040824,0.00002650394,0.000050239025,0.00015874831,0.000042774398],"domain_scores_gemma":[0.9966677,0.0019118559,0.00080135476,0.00020997597,0.0002425981,0.0001664829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013918027,0.00045371865,0.00050740776,0.001508168,0.00023774701,0.0017131853,0.00033475822,0.0006871776,0.00336481],"category_scores_gemma":[0.013571262,0.00027156444,0.00033411165,0.0011360754,0.0005728132,0.0032292996,0.0011188996,0.00071397395,0.00044882443],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049100234,0.00018450926,0.1919453,0.00029620764,0.0004600051,0.0018454859,0.0007134013,0.2560072,0.004210413,0.33904055,0.003922653,0.20088333],"study_design_scores_gemma":[0.000038824906,0.00029106715,0.10598755,0.000262664,0.00012533096,0.00093698927,0.00026112868,0.22175825,0.0017744749,0.6630783,0.005401017,0.00008446191],"about_ca_topic_score_codex":0.0010176256,"about_ca_topic_score_gemma":0.0012439811,"teacher_disagreement_score":0.00336481,"about_ca_system_score_codex":0.0005745205,"about_ca_system_score_gemma":0.00026037777,"threshold_uncertainty_score":0.011256397},"labels":[],"label_agreement":null},{"id":"W32311181","doi":"10.1111/odi.13365","title":"The use of idiosyncratic risk to time the Canadian market","year":2004,"lang":"en","type":"dissertation","venue":"Oral Diseases","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock market; Econometrics; Generality; Stock (firearms); Market timing; Economics; Robustness (evolution); Actuarial science; Statistics; Financial economics; Mathematics; Geography","score_opus":0.026526011483158127,"score_gpt":0.2127693243093352,"score_spread":0.18624331282617707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W32311181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8966404,0.0027597784,0.04176142,0.0013974243,0.000117229334,0.00014325291,0.0025792166,0.00023684095,0.05436445],"genre_scores_gemma":[0.98589325,0.0008444874,0.0073772203,0.00008023927,0.000024114172,0.00002037208,0.00061714824,0.00002265697,0.005120542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886405,0.00021045779,0.000051660107,0.00023667437,0.0004849213,0.00015231784],"domain_scores_gemma":[0.99622107,0.0010137795,0.000995992,0.00052483106,0.0010409788,0.00020337077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019368791,0.00048503123,0.00042691705,0.0020134912,0.0013382209,0.0022807166,0.0008739704,0.00029442218,0.0025125747],"category_scores_gemma":[0.014863656,0.00018145029,0.00062198413,0.0035186536,0.0006635465,0.0007124623,0.0008189307,0.0004847444,0.0001595604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028447426,0.00006886917,0.66631305,0.00015473265,0.00057655695,0.00027807264,0.0018588428,0.032378394,0.0022013946,0.05288936,0.004670951,0.23832531],"study_design_scores_gemma":[0.000036204307,0.00012148738,0.8549932,0.00011385527,0.0004669967,0.00036251676,0.0012424763,0.09997486,0.004106104,0.015377376,0.023038704,0.00016623894],"about_ca_topic_score_codex":0.8727497,"about_ca_topic_score_gemma":0.90756494,"teacher_disagreement_score":0.12725031,"about_ca_system_score_codex":0.010463131,"about_ca_system_score_gemma":0.010259911,"threshold_uncertainty_score":0.2559994},"labels":[],"label_agreement":null},{"id":"W331987172","doi":"","title":"The Scrutinized-Firm Effect, Portfolio Rebalancing, Stock Return Seasonality, and the Pervasiveness of the January Effect in Canada","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"January effect; Seasonality; Stock (firearms); Portfolio; Quarter (Canadian coin); Sample (material); Economics; Weekend effect; Financial economics; Systematic risk; Stock market; Demographic economics; Monetary economics; Business; Geography; Medicine","score_opus":0.009611667561394319,"score_gpt":0.19598635597357222,"score_spread":0.1863746884121779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W331987172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970528,0.00022188695,0.00009390054,0.00023720603,0.000003941152,0.0000059850713,0.00018059833,0.0000046835917,0.0021990757],"genre_scores_gemma":[0.9995316,0.000053246302,0.000024613408,0.000013775175,0.0000026199652,4.4245823e-7,0.000074147654,0.0000011567431,0.00029836627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989845,0.00005644945,0.00004346868,0.00014275045,0.00044383827,0.00032889753],"domain_scores_gemma":[0.99296886,0.0012817353,0.0029698233,0.00047123994,0.0012382775,0.0010701136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009904725,0.00014506378,0.00032417336,0.0013177998,0.0012155443,0.0014808549,0.000674079,0.00029119843,0.0015615448],"category_scores_gemma":[0.0078844465,0.0001671654,0.00032911098,0.0019596722,0.0011760404,0.00054997124,0.000909461,0.0005388714,0.000060975057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016289903,0.000028592656,0.98630244,0.000017747778,0.00007993141,0.00017328543,0.0006738189,0.0005902412,0.0005188818,0.0010053986,0.00046607776,0.009980703],"study_design_scores_gemma":[0.000002069021,0.000010959085,0.9988803,0.0000031724762,0.000010522357,0.000015454758,0.0002848572,0.00029732962,0.00008479989,0.000074602845,0.0003322235,0.0000036883796],"about_ca_topic_score_codex":0.9147256,"about_ca_topic_score_gemma":0.9516916,"teacher_disagreement_score":0.0852744,"about_ca_system_score_codex":0.008045352,"about_ca_system_score_gemma":0.00800861,"threshold_uncertainty_score":0.17155313},"labels":[],"label_agreement":null},{"id":"W335677702","doi":"","title":"Using Historical Volatility for Stock Option Expensing under SFAS 123R: Improving forecasting performance with long memory and","year":2007,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Volatility (finance); Implied volatility; Volatility swap; Volatility smile; Econometrics; Economics; Forward volatility; Volatility risk premium; Stock (firearms); Financial economics; Engineering","score_opus":0.12853145023061233,"score_gpt":0.24263133101119003,"score_spread":0.1140998807805777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W335677702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.929472,0.00058163726,0.06413056,0.00046188053,0.000104340805,0.000042491425,0.0006019954,0.0017082412,0.0028967862],"genre_scores_gemma":[0.98263687,0.00012837687,0.016351247,0.000028481638,0.000051281324,0.0000087232675,0.0004849346,0.000019118877,0.00029087946],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869615,0.00046087103,0.00014046286,0.00022293281,0.00037762205,0.00010193204],"domain_scores_gemma":[0.9943288,0.0025075506,0.0010118791,0.0009373572,0.0010310761,0.00018331004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044447,0.00064042496,0.0009327608,0.0012655038,0.00032818134,0.0012925607,0.0007809596,0.0008026876,0.0012033335],"category_scores_gemma":[0.016508052,0.00026742977,0.0004367724,0.0012045072,0.00018060415,0.002023447,0.00047433563,0.0007876554,0.00053117034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012886794,0.00047260776,0.1526233,0.0001080807,0.00028626385,0.00020099836,0.00020012482,0.20693034,0.0065330644,0.0030891297,0.0025938454,0.6256736],"study_design_scores_gemma":[0.00004258248,0.00016856498,0.021603182,0.000013236274,0.00003048557,0.00005350517,0.000023584984,0.9719614,0.004556707,0.0009945111,0.0005161395,0.00003616683],"about_ca_topic_score_codex":0.00975991,"about_ca_topic_score_gemma":0.008036661,"teacher_disagreement_score":0.00975991,"about_ca_system_score_codex":0.00055001024,"about_ca_system_score_gemma":0.00054649444,"threshold_uncertainty_score":0.023506105},"labels":[],"label_agreement":null},{"id":"W337108487","doi":"","title":"A NAV a Day Keeps the Inefficiency Away? Fund Trading Strategies Using Daily Values","year":2005,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Closed-end fund; Income fund; Net asset value; Fund of funds; Open-end fund; Mutual fund; Trading strategy; Business; Transaction cost; Investment strategy; Expense ratio; Index fund; Economics; Finance; Monetary economics; Fund administration; Institutional investor; Market liquidity; Corporate governance","score_opus":0.07419067991758765,"score_gpt":0.25650542354985423,"score_spread":0.18231474363226657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W337108487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9355739,0.0017228697,0.011912257,0.004251292,0.00008196439,0.000020015868,0.00008328898,0.000070677605,0.046283748],"genre_scores_gemma":[0.996546,0.0002523723,0.0010934793,0.00014202402,0.000022120457,0.0000033417925,0.000018100118,0.000012390834,0.0019102956],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996306,0.0001475778,0.000018386147,0.00005027895,0.00008925115,0.000064001724],"domain_scores_gemma":[0.99767846,0.00093230355,0.00063054,0.00027594634,0.0002694448,0.000213247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011892521,0.00015440224,0.00033426774,0.00039010055,0.00044339173,0.0025499263,0.00040719623,0.0006141982,0.0032642968],"category_scores_gemma":[0.013510207,0.000113528455,0.0001476128,0.0005433529,0.0010927701,0.003992604,0.0006041857,0.00075345155,0.0007160686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013331742,0.00037412657,0.19615449,0.00014719667,0.00020452874,0.0008511728,0.002704374,0.015574721,0.007238957,0.2066676,0.011722434,0.5570272],"study_design_scores_gemma":[0.00012867064,0.000631045,0.22333461,0.00019813962,0.00016158025,0.0014718148,0.0071408264,0.08209214,0.004633199,0.64176345,0.03830091,0.00014361231],"about_ca_topic_score_codex":0.0026459051,"about_ca_topic_score_gemma":0.0024477723,"teacher_disagreement_score":0.0032642968,"about_ca_system_score_codex":0.00066692947,"about_ca_system_score_gemma":0.00041698694,"threshold_uncertainty_score":0.010920227},"labels":[],"label_agreement":null},{"id":"W338416608","doi":"10.2139/ssrn.1787215","title":"On Horizon Effects and Microstructure Bias in Average Returns and Alphas","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Download; Econometrics; Computer science; Horizon; Statistics; Economics; World Wide Web; Mathematics","score_opus":0.019307201052500347,"score_gpt":0.19687919282975241,"score_spread":0.17757199177725208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W338416608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.949419,0.002765828,0.03974755,0.0016872352,0.00016370353,0.000035180095,0.00030445095,0.00019680145,0.0056803063],"genre_scores_gemma":[0.9942701,0.000593852,0.0024932032,0.0001383784,0.00027714198,0.000007444277,0.00014627495,0.000064775304,0.002008852],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978255,0.0008312876,0.00017920049,0.00055817614,0.00035318604,0.00025264334],"domain_scores_gemma":[0.80589247,0.16262883,0.0140269855,0.01206627,0.0034799164,0.0019055397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019207831,0.00041750816,0.0012513835,0.001370988,0.000517076,0.0025062403,0.0013155907,0.0020138063,0.0056746765],"category_scores_gemma":[0.113993324,0.0007453589,0.0010136057,0.0013991711,0.0014929901,0.0039295424,0.0010298466,0.0017617834,0.0005451792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023279549,0.00039307025,0.58775765,0.000332169,0.0017106531,0.0015985479,0.0020588655,0.05925216,0.0064531057,0.2024576,0.0060306513,0.12962745],"study_design_scores_gemma":[0.00025000784,0.00036800295,0.5116415,0.00011953904,0.0011410331,0.00060289743,0.00042951235,0.23329228,0.0039724763,0.24525021,0.0027295921,0.00020295403],"about_ca_topic_score_codex":0.006604052,"about_ca_topic_score_gemma":0.0057165027,"teacher_disagreement_score":0.019207831,"about_ca_system_score_codex":0.0009831992,"about_ca_system_score_gemma":0.0006367265,"threshold_uncertainty_score":0.10158193},"labels":[],"label_agreement":null},{"id":"W35985040","doi":"10.1139/cjpp-2022-0152","title":"Short Term Momentum: Role of Investor Sentiment in Return Formation","year":2012,"lang":"en","type":"dissertation","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Momentum (technical analysis); Capital asset pricing model; Financial economics; Economics; Term (time); Econometrics; Order (exchange); Trading strategy; Persistence (discontinuity); Horizon; Monetary economics; Business; Mathematics; Finance; Engineering","score_opus":0.019405828443408588,"score_gpt":0.24044723647372962,"score_spread":0.22104140803032102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W35985040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5906353,0.0042482647,0.01584737,0.013639525,0.0009969156,0.00013433305,0.00050306553,0.00029294202,0.37370226],"genre_scores_gemma":[0.9796666,0.0008713749,0.0013305463,0.0004983148,0.0001470767,0.000029415647,0.000114225244,0.00005135188,0.017291158],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994357,0.00015269658,0.00002072879,0.00008555835,0.00015884322,0.00014649436],"domain_scores_gemma":[0.9970688,0.00053336343,0.00074689207,0.00016850351,0.00038283307,0.0010996195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009525987,0.00017417209,0.00020118938,0.0004057803,0.0006901848,0.002923361,0.00041692887,0.00067745923,0.01838402],"category_scores_gemma":[0.00717084,0.00010276389,0.00014771939,0.00033641869,0.0008117642,0.0018820256,0.0017967442,0.0009621709,0.0017087002],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012564174,0.00049617136,0.13803297,0.00042600773,0.00015671336,0.0020634118,0.0066859266,0.002532608,0.028070917,0.33343905,0.04164154,0.4451983],"study_design_scores_gemma":[0.00022905126,0.001581065,0.27094683,0.0005509724,0.0001752379,0.002157635,0.01631633,0.016939063,0.010868491,0.27582052,0.40424368,0.00017108649],"about_ca_topic_score_codex":0.0009871488,"about_ca_topic_score_gemma":0.0010398988,"teacher_disagreement_score":0.01838402,"about_ca_system_score_codex":0.0009000332,"about_ca_system_score_gemma":0.0010508797,"threshold_uncertainty_score":0.06150067},"labels":[],"label_agreement":null},{"id":"W37093154","doi":"10.1089/jicm.2022.0730","title":"PRICE-EARNINGS RATIO, DIVIDEND YIELD, AND MARKET-TO-BOOK RATIO TO PREDICT RETURN ON STOCK MARKET: EVIDENCE FROM THE EMERGING MARKETS","year":2008,"lang":"en","type":"article","venue":"Journal of global business and technology","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dividend yield; Predictability; Economics; Predictive power; Financial economics; Stock market; Earnings yield; Emerging markets; Econometrics; Dividend; Stock (firearms); Earnings; Earnings per share; Price–earnings ratio; Dividend policy; Finance; Statistics; Mathematics","score_opus":0.02225958152080979,"score_gpt":0.22053136833652293,"score_spread":0.19827178681571314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W37093154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89476097,0.08169899,0.0018538451,0.0048371213,0.00038898955,0.0006191329,0.004379918,0.000045165034,0.011415813],"genre_scores_gemma":[0.9745077,0.017791009,0.0021535035,0.00084721204,0.00025744532,0.00014162376,0.0028668342,0.000016415452,0.0014183674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99534285,0.0024025235,0.00033974941,0.0005470074,0.0010442444,0.0003236825],"domain_scores_gemma":[0.943897,0.041747857,0.004798267,0.0021244194,0.005912938,0.001519446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019591806,0.0014305387,0.001124909,0.0017949338,0.00080238056,0.0025408345,0.0029390934,0.001629066,0.004507862],"category_scores_gemma":[0.05161222,0.00052901765,0.0032117513,0.00223795,0.0012696963,0.001498787,0.0010383258,0.0020649484,0.00074429315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071952967,0.00089780526,0.9075187,0.0020889791,0.007415464,0.00013862705,0.000617547,0.00063449604,0.000102891725,0.0007851713,0.0031065678,0.06949856],"study_design_scores_gemma":[0.0011541328,0.0022674557,0.9652044,0.0027045736,0.0129772555,0.00027119977,0.0011036459,0.0061775427,0.00032425628,0.0012587651,0.006440838,0.00011597416],"about_ca_topic_score_codex":0.23920889,"about_ca_topic_score_gemma":0.2148764,"teacher_disagreement_score":0.23920889,"about_ca_system_score_codex":0.0023936601,"about_ca_system_score_gemma":0.006815164,"threshold_uncertainty_score":0.47563303},"labels":[],"label_agreement":null},{"id":"W38449572","doi":"10.1177/00938548241230471","title":"The Importance of Portfolio Rebalancing in Volatile Markets","year":2003,"lang":"en","type":"article","venue":"Criminal Justice and Behavior","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Killam Trusts","keywords":"Asset allocation; Portfolio; Investment strategy; Investment (military); Position (finance); Business; Investment policy; Asset (computer security); Finance; Financial market; Economics; Actuarial science; Microeconomics; Computer science; Market liquidity","score_opus":0.03650288810750531,"score_gpt":0.250182129914037,"score_spread":0.2136792418065317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W38449572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785597,0.00019820186,0.0018269706,0.002527057,0.000008515484,0.000020591175,0.000011242936,0.0000074651725,0.016840164],"genre_scores_gemma":[0.9994654,0.00002727975,0.00012956558,0.000040434068,0.0000012752729,0.0000022323372,0.000001570888,0.0000014932759,0.00033057158],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965827,0.0019524981,0.000064622036,0.00019366387,0.00040190894,0.0008046286],"domain_scores_gemma":[0.9942427,0.0032541186,0.0013276532,0.00020774407,0.0003785421,0.0005891105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033001362,0.0001682788,0.00019613196,0.0006352727,0.0044278293,0.00488297,0.0009784279,0.001224203,0.0018851254],"category_scores_gemma":[0.012852556,0.00022494294,0.00013039028,0.0006104155,0.008359656,0.0038216107,0.0024358472,0.0016050877,0.000062831954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014801275,0.000109181994,0.04049897,0.00013496548,0.000023608458,0.0034471492,0.80945593,0.0013022419,0.0032652053,0.10830744,0.0014186618,0.031888533],"study_design_scores_gemma":[0.000013471618,0.00005861612,0.030273117,0.00009470087,0.000010602045,0.0006820147,0.92658484,0.0017368576,0.00062526966,0.022109114,0.01777729,0.000033958233],"about_ca_topic_score_codex":0.027322207,"about_ca_topic_score_gemma":0.04079845,"teacher_disagreement_score":0.027322207,"about_ca_system_score_codex":0.004018583,"about_ca_system_score_gemma":0.004147573,"threshold_uncertainty_score":0.054326355},"labels":[],"label_agreement":null},{"id":"W4200147157","doi":"10.1057/s41599-021-00989-2","title":"Doing well by doing good with the performance of United Nations Global Compact Climate Change Champions","year":2021,"lang":"en","type":"article","venue":"Humanities and Social Sciences Communications","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Competitor analysis; Portfolio; Volatility (finance); Risk aversion (psychology); Climate change; Capital asset pricing model; Business; Climate risk; Preference; Asset (computer security); Economics; Financial economics; Microeconomics; Expected utility hypothesis; Marketing","score_opus":0.10401413394244813,"score_gpt":0.26810799538909497,"score_spread":0.16409386144664684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200147157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98643595,0.000118174554,0.00012421019,0.00062922714,0.000009192361,0.000010250106,0.000035440975,0.0000049526493,0.012632544],"genre_scores_gemma":[0.9992004,0.000021730799,0.00004244507,0.000047932364,0.00000488534,0.0000013439592,0.000022474982,7.471982e-7,0.00065806863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923384,0.00026779287,0.00003275441,0.00006470916,0.00021655775,0.00018429705],"domain_scores_gemma":[0.98847896,0.0022166863,0.0052319556,0.00044542502,0.0011934934,0.0024335622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014739886,0.00021033525,0.00021601492,0.00078413455,0.00065194885,0.002484248,0.00028256615,0.00071383687,0.004827568],"category_scores_gemma":[0.008067843,0.00006402977,0.00012652464,0.0007726622,0.00069940015,0.0012289791,0.00074079464,0.0005136629,0.00043741093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001763425,0.0005525522,0.95544255,0.000026468899,0.000081053244,0.0003039965,0.0007470971,0.0015265022,0.0010600012,0.0034119075,0.0021629962,0.03450863],"study_design_scores_gemma":[0.000013201876,0.00041698603,0.98630327,0.000030076728,0.000034871686,0.000113404945,0.0028161476,0.003392306,0.001131084,0.0021948584,0.0035279985,0.000025684534],"about_ca_topic_score_codex":0.008135094,"about_ca_topic_score_gemma":0.014437807,"teacher_disagreement_score":0.008135094,"about_ca_system_score_codex":0.0009882395,"about_ca_system_score_gemma":0.0006164214,"threshold_uncertainty_score":0.016175449},"labels":[],"label_agreement":null},{"id":"W4200251434","doi":"10.21511/imfi.18(4).2021.30","title":"Market expectation shifts in option-implied volatilities in the US and UK stock markets during the Brexit vote","year":2021,"lang":"en","type":"article","venue":"Investment Management and Financial Innovations","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Cape Breton University","funders":"","keywords":"Brexit; Economics; Referendum; Financial economics; Equity (law); Stock market; Stock (firearms); Monetary economics; International economics; European union; Political science","score_opus":0.02295143150219926,"score_gpt":0.21359147856575128,"score_spread":0.19064004706355203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200251434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975695,0.000119092285,0.00007883524,0.00021444217,0.000020894639,0.000002711201,0.00028961,0.000005116478,0.0016997213],"genre_scores_gemma":[0.9985073,0.00005953574,0.000029799497,0.000056189707,0.000015243859,0.0000026258003,0.00048322123,0.000003899855,0.0008421703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958843,0.0000729241,0.000042380238,0.000060884075,0.0001372744,0.00009811682],"domain_scores_gemma":[0.9959418,0.0012628247,0.0016524973,0.00020226673,0.00068718725,0.00025330714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077128777,0.00013131123,0.00023470534,0.0004932694,0.00019276438,0.0011858033,0.0001625207,0.0004374374,0.003449102],"category_scores_gemma":[0.0075617274,0.00011289605,0.0002369215,0.0005104162,0.00027604916,0.0007569675,0.0005820803,0.0006453555,0.00079974596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015731697,0.00016122848,0.9564051,0.00006298973,0.00014098789,0.00048507316,0.0023310573,0.0016803223,0.004226703,0.0014898796,0.0039158356,0.027527552],"study_design_scores_gemma":[0.000003591172,0.000048573802,0.9976846,0.0000063981906,0.000009647629,0.00003517616,0.00036874498,0.00041167185,0.00036522135,0.00006390724,0.0009912434,0.000011335587],"about_ca_topic_score_codex":0.0151342675,"about_ca_topic_score_gemma":0.01733363,"teacher_disagreement_score":0.0151342675,"about_ca_system_score_codex":0.0005484923,"about_ca_system_score_gemma":0.00022605041,"threshold_uncertainty_score":0.030092359},"labels":[],"label_agreement":null},{"id":"W4200289881","doi":"10.26845/kjfs.2021.12.50.6.557","title":"Why do Fund Managers Increase the Lottery-Like Characteristics of the Fund?","year":2021,"lang":"en","type":"article","venue":"Korean Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lottery; Manager of managers fund; Business; Mutual fund; Fund administration; Closed-end fund; Income fund; Target date fund; Open-end fund; Quarter (Canadian coin); Fund of funds; Finance; Actuarial science; Economics; Institutional investor; Microeconomics","score_opus":0.05304830059597707,"score_gpt":0.23923027924909626,"score_spread":0.1861819786531192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200289881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965223,0.00022311257,0.00035745994,0.00093800516,0.000017834484,0.000014004508,0.000051274943,0.000009662028,0.0018663944],"genre_scores_gemma":[0.99903905,0.000074673706,0.00020588638,0.00016453798,0.000023496274,0.000005656352,0.000028745495,0.0000016158926,0.00045641334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995492,0.00014799958,0.000044412875,0.00007731729,0.00009110333,0.00008983034],"domain_scores_gemma":[0.9845025,0.002982325,0.009635958,0.00056219957,0.0005893217,0.0017277094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012545006,0.00015823105,0.00020249808,0.0006088075,0.00030911365,0.0008840401,0.00023647219,0.0006767423,0.0031789488],"category_scores_gemma":[0.013289073,0.0001205466,0.00016513819,0.00029055311,0.00037938255,0.00085085223,0.00035403145,0.00041809343,0.00031658748],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024924206,0.00024669495,0.95947087,0.00006237574,0.000095023344,0.00021117587,0.00093548227,0.00019496818,0.0023543122,0.0010719313,0.0011051473,0.03400269],"study_design_scores_gemma":[0.000023028611,0.00017383679,0.9938704,0.000020778323,0.000032403557,0.00022111884,0.0012585749,0.000576408,0.0006360402,0.0016518086,0.0015218181,0.0000137034385],"about_ca_topic_score_codex":0.0009008706,"about_ca_topic_score_gemma":0.0017144417,"teacher_disagreement_score":0.0031789488,"about_ca_system_score_codex":0.00032346856,"about_ca_system_score_gemma":0.00035147596,"threshold_uncertainty_score":0.010634661},"labels":[],"label_agreement":null},{"id":"W4200469216","doi":"10.33423/jabe.v23i5.4563","title":"Herding Behavior of Ghana Stock Market Participants: A Daily Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Unison; Herd behavior; Stock market; Stock (firearms); Economics; Panel data; Business; Financial economics; Monetary economics; Econometrics; Geography","score_opus":0.03615647981040785,"score_gpt":0.22443836935583208,"score_spread":0.18828188954542424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200469216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993793,0.00007753464,0.000100964564,0.00002899248,0.00000198901,0.0000054925654,0.00014247454,0.000002179034,0.00026097015],"genre_scores_gemma":[0.9992212,0.00008139344,0.00013728287,0.000010267122,0.0000054386082,0.0000057237594,0.00022281872,8.064865e-7,0.00031508808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998636,0.000034788987,0.000012916219,0.000026518921,0.00003003257,0.00003215587],"domain_scores_gemma":[0.9991216,0.00022082479,0.00041068884,0.000054357355,0.00009791334,0.00009458228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049819885,0.00013562731,0.00024097486,0.00060145283,0.00022271344,0.00031601,0.0001814963,0.00022636638,0.001698129],"category_scores_gemma":[0.0015039794,0.00007573572,0.0001540352,0.0005840426,0.00014649049,0.00042788856,0.000276205,0.00020021382,0.00022507746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108304805,0.0000578894,0.9870337,0.000024470131,0.00003705197,0.00032956075,0.0011153709,0.00019740491,0.0009517735,0.00010572523,0.00044448525,0.009594338],"study_design_scores_gemma":[0.000003164963,0.00011327917,0.9962373,0.000010568759,0.000022217904,0.00016896408,0.0010567509,0.001590254,0.00016056515,0.00006530386,0.00056653935,0.0000051812485],"about_ca_topic_score_codex":0.0054969094,"about_ca_topic_score_gemma":0.007809627,"teacher_disagreement_score":0.0054969094,"about_ca_system_score_codex":0.00024174163,"about_ca_system_score_gemma":0.00012938681,"threshold_uncertainty_score":0.010929823},"labels":[],"label_agreement":null},{"id":"W4205107869","doi":"10.1287/opre.2021.2234","title":"Systemic Risk-Driven Portfolio Selection","year":2022,"lang":"en","type":"article","venue":"Operations Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Global Risk Institute in Financial Services","funders":"","keywords":"Portfolio; Systemic risk; Tail risk; Expected shortfall; Value at risk; Stock (firearms); Stock market index; Actuarial science; Economics; Index (typography); Econometrics; Construct (python library); Financial economics; Business; Financial crisis; Risk management; Stock market; Computer science; Finance","score_opus":0.0831123387040463,"score_gpt":0.3049228090445455,"score_spread":0.2218104703404992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205107869","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2758676,0.0019035593,0.7096536,0.0026867678,0.00013846548,0.0002172567,0.00029455443,0.0005409473,0.00869732],"genre_scores_gemma":[0.9264994,0.0005903625,0.06986321,0.00030146845,0.0000902527,0.000103197126,0.00043883797,0.00004662811,0.0020666409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978885,0.0012012038,0.000089633555,0.00022724409,0.00042162117,0.00017191099],"domain_scores_gemma":[0.9938414,0.0035246848,0.00065682345,0.0006129483,0.0010800742,0.000284126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066780536,0.00071274996,0.0010738586,0.0009012698,0.00019267837,0.0016697804,0.0006477096,0.0008178712,0.0016662794],"category_scores_gemma":[0.021633001,0.00033151053,0.00043758252,0.00084572117,0.00046801634,0.0016888357,0.0008292347,0.0009009046,0.00048770162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027136976,0.00019574878,0.034512166,0.00013670448,0.00039082073,0.0002190971,0.000132565,0.635318,0.0026761391,0.040696904,0.0058223284,0.27962822],"study_design_scores_gemma":[0.00006971943,0.0002957961,0.006309237,0.00004429376,0.000045259087,0.0001096417,0.000049874383,0.9189294,0.0013253374,0.070219375,0.0025721537,0.000029814606],"about_ca_topic_score_codex":0.00058776955,"about_ca_topic_score_gemma":0.00046174912,"teacher_disagreement_score":0.0066780536,"about_ca_system_score_codex":0.0005183361,"about_ca_system_score_gemma":0.0007935839,"threshold_uncertainty_score":0.03531736},"labels":[],"label_agreement":null},{"id":"W4205229962","doi":"10.3390/jrfm15010026","title":"Simulating Multi-Asset Classes Prices Using Wasserstein Generative Adversarial Network: A Study of Stocks, Futures and Cryptocurrency","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Futures contract; Econometrics; Stock exchange; Computer science; Stock (firearms); Stock market; Asset (computer security); Futures market; Financial economics; Economics; Finance; Geography; Computer security","score_opus":0.03290392779872827,"score_gpt":0.2459438178021311,"score_spread":0.21303989000340282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205229962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80676895,0.000608065,0.18839626,0.0010669044,0.000115822804,0.00006060228,0.0003886692,0.00038261423,0.0022121218],"genre_scores_gemma":[0.985614,0.00011754455,0.013016643,0.00009668195,0.000018743509,0.00002597637,0.00037950106,0.000029096258,0.0007018434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996125,0.00017495622,0.00001693183,0.00008977034,0.000062079656,0.000043738888],"domain_scores_gemma":[0.9968334,0.002528911,0.00021156682,0.00017966403,0.00015770605,0.00008886647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017176257,0.0006739631,0.0005209014,0.0004185185,0.00024401981,0.0005893638,0.00091423735,0.00094234076,0.00079714606],"category_scores_gemma":[0.0063847047,0.00030908594,0.00065555674,0.00034852236,0.0008670374,0.0011335982,0.0006537374,0.001479859,0.000086135995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039511364,0.00002519743,0.0026688275,0.000015752788,0.000028255869,0.000043635104,0.000023482176,0.9894357,0.00032428882,0.0023861171,0.0002897565,0.0047196103],"study_design_scores_gemma":[0.0000018866801,0.0000055481173,0.00021640323,0.0000011058289,0.0000015044019,0.0000041500566,0.000002588659,0.99886096,0.000114838644,0.00076002796,0.00002957271,0.0000015194348],"about_ca_topic_score_codex":0.010172058,"about_ca_topic_score_gemma":0.0072089345,"teacher_disagreement_score":0.010172058,"about_ca_system_score_codex":0.000815451,"about_ca_system_score_gemma":0.00046426372,"threshold_uncertainty_score":0.020225704},"labels":[],"label_agreement":null},{"id":"W4205311146","doi":"10.2139/ssrn.3980678","title":"ETF Effects: The Role of Primary Versus Secondary Market Activities","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Primary (astronomy); Business; Economics; Physics","score_opus":0.00768795264889747,"score_gpt":0.1839309186823591,"score_spread":0.17624296603346165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205311146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8789101,0.0025702077,0.0126016,0.0043932907,0.00034995933,0.00010739543,0.0029806516,0.0003378157,0.097749054],"genre_scores_gemma":[0.9748184,0.00038981423,0.0007568863,0.00027807828,0.0002471271,0.0000151638715,0.0004061094,0.00006641485,0.023021927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926394,0.00017982563,0.000047902828,0.00013433272,0.00013366909,0.00024033446],"domain_scores_gemma":[0.9720358,0.021072559,0.0023447182,0.0009584932,0.0008308824,0.0027575411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002388036,0.0004259597,0.0009583177,0.0008518586,0.00042325706,0.0031605,0.00078736834,0.0017381328,0.049239744],"category_scores_gemma":[0.016272789,0.00014696535,0.0010450254,0.0006317119,0.0006134877,0.0028342095,0.0009842217,0.0014975345,0.0015682537],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011085811,0.0028277377,0.4634075,0.0010022582,0.0015698825,0.0027548266,0.0019315449,0.02130981,0.017462352,0.2154014,0.02356356,0.23768333],"study_design_scores_gemma":[0.0009896273,0.0017503346,0.84391534,0.00024371102,0.0013218502,0.0010194915,0.001274689,0.03257108,0.008444027,0.07714864,0.031186447,0.00013470341],"about_ca_topic_score_codex":0.0066900053,"about_ca_topic_score_gemma":0.004085692,"teacher_disagreement_score":0.049239744,"about_ca_system_score_codex":0.0006713274,"about_ca_system_score_gemma":0.00079854537,"threshold_uncertainty_score":0.16472334},"labels":[],"label_agreement":null},{"id":"W4205354336","doi":"10.1093/rof/rfab033","title":"Search-Based Peer Groups and Commonality in Liquidity","year":2021,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Business; Tracing; Advertising; Financial economics; Economics; Monetary economics; Finance; Computer science","score_opus":0.0771257201936195,"score_gpt":0.25639823053001315,"score_spread":0.17927251033639363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205354336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99035853,0.001220027,0.0020372544,0.0004181104,0.000012562231,0.000047549143,0.00035001358,0.000023629173,0.0055324216],"genre_scores_gemma":[0.99919325,0.00014843431,0.00024340264,0.000015207747,0.00002461902,0.000008144664,0.00008883973,0.0000023940815,0.00027570297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975758,0.0009555647,0.00024941354,0.00035634488,0.0005984427,0.00026445187],"domain_scores_gemma":[0.9419338,0.024141641,0.025896002,0.0025560288,0.0032389688,0.0022335874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028371841,0.00019529091,0.0005083898,0.0039683534,0.00065479486,0.0026120264,0.0005943031,0.00073457847,0.006184465],"category_scores_gemma":[0.031615864,0.00011801999,0.00032471065,0.0036607387,0.0010392829,0.0028058912,0.0022059912,0.0006038164,0.00065763545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047782625,0.00021744896,0.9254018,0.00022954904,0.00032480576,0.00035532573,0.003295646,0.00094627234,0.0011619913,0.008241426,0.0015932843,0.057754695],"study_design_scores_gemma":[0.00006583939,0.00034301684,0.9649196,0.00011899097,0.00024801926,0.00088547973,0.007644495,0.0054875845,0.00095965416,0.014048899,0.005222049,0.000056462923],"about_ca_topic_score_codex":0.0015533181,"about_ca_topic_score_gemma":0.0012987687,"teacher_disagreement_score":0.006184465,"about_ca_system_score_codex":0.00063046697,"about_ca_system_score_gemma":0.00040988327,"threshold_uncertainty_score":0.02068907},"labels":[],"label_agreement":null},{"id":"W4205458835","doi":"10.1111/1911-3846.12756","title":"Asymmetric Inefficiency in the Market Response to Non‐earnings 8‐K Information*","year":2022,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Inefficiency; Stock (firearms); Monetary economics; Stock price; Business; Public information; Information asymmetry; Private information retrieval; Negative information; Market efficiency; Economics; Financial economics; Accounting; Finance; Microeconomics","score_opus":0.055032203225951294,"score_gpt":0.28457033109719476,"score_spread":0.22953812787124347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205458835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926778,0.00012390722,0.003527836,0.00017768568,0.00001301062,0.000020241228,0.00008973955,0.00005899199,0.0033107642],"genre_scores_gemma":[0.99915254,0.00003234493,0.00036709188,0.000021310318,0.00001837054,0.0000028632048,0.00004808188,0.0000062694776,0.00035107965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801457,0.00048010476,0.00022956093,0.00023844258,0.0007437604,0.0002934844],"domain_scores_gemma":[0.94946414,0.028173976,0.01531737,0.0036372298,0.0027480556,0.00065932894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037740378,0.00026865568,0.0005990966,0.0014064461,0.0002884359,0.0024556315,0.0007580593,0.00078079145,0.0045539364],"category_scores_gemma":[0.034522474,0.00029751594,0.00042974128,0.00087104103,0.0007001398,0.0024589966,0.0007032932,0.00063314685,0.0006186456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048466437,0.0012643996,0.5030685,0.00057995087,0.00088012195,0.0030674543,0.0013003118,0.067391865,0.1760817,0.04449865,0.003165538,0.19385485],"study_design_scores_gemma":[0.00012593363,0.0007843809,0.63880295,0.00005084739,0.0002535769,0.0016882707,0.0005859315,0.27334082,0.054541364,0.027715946,0.0019349088,0.00017511101],"about_ca_topic_score_codex":0.00093554717,"about_ca_topic_score_gemma":0.00047473342,"teacher_disagreement_score":0.0045539364,"about_ca_system_score_codex":0.00085253984,"about_ca_system_score_gemma":0.00035088471,"threshold_uncertainty_score":0.019959211},"labels":[],"label_agreement":null},{"id":"W4205797730","doi":"10.31235/osf.io/z7k3p","title":"Rest in Peace Post-Earnings Announcement Drift","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"","keywords":"Post-earnings-announcement drift; Earnings; Rest (music); Economics; Stock (firearms); Stock price; Financial economics; Monetary economics; Earnings response coefficient; Accounting; Geography","score_opus":0.0348548467389668,"score_gpt":0.22562997302049578,"score_spread":0.19077512628152898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205797730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90485424,0.003172855,0.0047456403,0.0064716917,0.0010434306,0.000022322758,0.0010178473,0.00019772652,0.078474306],"genre_scores_gemma":[0.991398,0.00058066926,0.00027333928,0.0002796882,0.00042669082,0.0000048317947,0.00043800357,0.000039745282,0.006559126],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99968696,0.00004293477,0.000018791477,0.00006195392,0.00010911322,0.00008013871],"domain_scores_gemma":[0.99802977,0.00053105055,0.0008309952,0.00013816735,0.00027302947,0.00019690422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008849452,0.00017571893,0.00032364746,0.00078951265,0.0006274619,0.002567483,0.00027869735,0.00062915776,0.007800237],"category_scores_gemma":[0.006756474,0.00010897025,0.00018159531,0.00059444766,0.000599305,0.0014781598,0.001089084,0.00094758795,0.0017645807],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033640258,0.00044333126,0.35429403,0.00036117242,0.00024859526,0.0065457597,0.007602518,0.0061187292,0.011730742,0.24255788,0.047554508,0.3191787],"study_design_scores_gemma":[0.00011748343,0.00048705164,0.7041291,0.0002475633,0.00015323298,0.0014404026,0.006917477,0.010440378,0.005960614,0.112196,0.1577944,0.000116267845],"about_ca_topic_score_codex":0.003569761,"about_ca_topic_score_gemma":0.002807657,"teacher_disagreement_score":0.007800237,"about_ca_system_score_codex":0.00061424123,"about_ca_system_score_gemma":0.00029676378,"threshold_uncertainty_score":0.026094437},"labels":[],"label_agreement":null},{"id":"W4205815413","doi":"10.5539/ijef.v14n2p44","title":"What Do We Learn from Daily Leaders and Laggards in Stock Investment? Do They Help Outperform the Market Average?","year":2022,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Stock (firearms); Financial economics; Economics; Trading strategy; Market timing; Investment (military); Business; Investment strategy; Monetary economics; Geography; Portfolio","score_opus":0.028334953771092727,"score_gpt":0.22173362514558803,"score_spread":0.1933986713744953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205815413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8870837,0.0355115,0.002609016,0.050664816,0.00084135326,0.000048833983,0.0006936265,0.000080328704,0.022466857],"genre_scores_gemma":[0.9822139,0.009603259,0.001398201,0.0043905894,0.00074034726,0.000015751173,0.00028637814,0.000020004745,0.0013315356],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992093,0.00027045005,0.000047693768,0.00016816055,0.00016568518,0.0001387357],"domain_scores_gemma":[0.98477536,0.0087188445,0.0021918,0.000978244,0.0015970179,0.0017387456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043862057,0.00033579976,0.0007746997,0.0008148794,0.0004858528,0.0025508858,0.000692717,0.0013936968,0.0034466607],"category_scores_gemma":[0.028262898,0.0002176386,0.00040121799,0.0006308919,0.0014074101,0.005872614,0.0007978164,0.0016628981,0.00084482913],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005930075,0.0004956119,0.45228612,0.0009753823,0.00039325605,0.00026559382,0.0034677,0.00077173294,0.0010601557,0.005563394,0.01772048,0.51640755],"study_design_scores_gemma":[0.00015520774,0.0023268608,0.8604787,0.0015514699,0.0005115407,0.000784395,0.014981159,0.003651667,0.0024541933,0.075636245,0.037333205,0.00013534645],"about_ca_topic_score_codex":0.00281337,"about_ca_topic_score_gemma":0.0070046047,"teacher_disagreement_score":0.0043862057,"about_ca_system_score_codex":0.00067298074,"about_ca_system_score_gemma":0.00076212507,"threshold_uncertainty_score":0.023196757},"labels":[],"label_agreement":null},{"id":"W4205942102","doi":"10.3390/jrfm15010013","title":"The Effects of the COVID-19 Crisis on Risk Factors and Option-Implied Expected Market Risk Premia: An International Perspective","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Generalitat Valenciana","keywords":"Recession; Financial crisis; Economics; Global recession; Risk premium; Value (mathematics); Momentum (technical analysis); Financial economics; Stock (firearms); Stock market; Monetary economics; Business; Macroeconomics; Geography","score_opus":0.010959672042876909,"score_gpt":0.21930143345794004,"score_spread":0.20834176141506314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205942102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9604895,0.0028439027,0.0012995179,0.0026419174,0.000053279713,0.00001493122,0.00042518642,0.0000222925,0.032209605],"genre_scores_gemma":[0.99797434,0.0009378538,0.0001419812,0.000093745,0.00003946332,0.0000028396712,0.00012400153,0.0000089921205,0.00067669293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997651,0.00008037076,0.00001699126,0.000033250526,0.000037839607,0.00006648213],"domain_scores_gemma":[0.997454,0.0010157236,0.000778824,0.00014932029,0.00033902063,0.00026309048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085662556,0.00030588388,0.00037301675,0.00085024606,0.00020380516,0.0020392286,0.00020193295,0.000535573,0.0034437382],"category_scores_gemma":[0.004718602,0.00013062934,0.00035985824,0.0008857779,0.00070108654,0.0013895868,0.0010028878,0.001372021,0.0002594908],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013167139,0.00037532428,0.8559639,0.00021686852,0.0005155232,0.0015846003,0.0014185937,0.013272113,0.008647982,0.0470282,0.0053477,0.06431261],"study_design_scores_gemma":[0.000024724459,0.00023847917,0.97336644,0.00010355522,0.00014520774,0.00027466824,0.0017495238,0.009037103,0.0013564985,0.009260133,0.0043936907,0.000050052924],"about_ca_topic_score_codex":0.004812885,"about_ca_topic_score_gemma":0.0032857007,"teacher_disagreement_score":0.004812885,"about_ca_system_score_codex":0.00029496304,"about_ca_system_score_gemma":0.0002801848,"threshold_uncertainty_score":0.011520505},"labels":[],"label_agreement":null},{"id":"W4206059534","doi":"10.1016/j.orp.2021.100216","title":"Closed-form portfolio optimization under GARCH models","year":2022,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Portfolio; Heston model; Econometrics; Volatility (finance); Portfolio optimization; Stochastic volatility; Autoregressive conditional heteroskedasticity; Mathematics; Economics; Mathematical optimization; SABR volatility model; Financial economics","score_opus":0.031666570107424755,"score_gpt":0.21534409769093096,"score_spread":0.1836775275835062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206059534","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010935141,0.0009872591,0.9836453,0.00039224434,0.000046830315,0.00003691421,0.00007025894,0.00017984743,0.003706166],"genre_scores_gemma":[0.6817016,0.0022929567,0.29969293,0.00042535295,0.00024932058,0.0004217865,0.00051760685,0.0003019125,0.014396588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897623,0.00047964317,0.00004090128,0.00015560548,0.00024495315,0.00010268821],"domain_scores_gemma":[0.99657226,0.0026448194,0.00022171234,0.00013881683,0.0003549988,0.00006746218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034673214,0.001200922,0.001966563,0.0006304372,0.00038556303,0.0020218233,0.0012393692,0.0024530792,0.0037092366],"category_scores_gemma":[0.010324205,0.0008235635,0.00082418055,0.0009445353,0.0010863774,0.0023107335,0.0012734649,0.00177467,0.000630738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017409713,0.000024297691,0.00027870742,0.00005460551,0.000026027476,0.00006467575,0.00003358634,0.935339,0.0002763139,0.051920667,0.0008042462,0.011160541],"study_design_scores_gemma":[0.000006291464,0.000006106515,0.000036360514,0.000006112691,0.0000032489406,0.0000091573,0.000004350856,0.97752166,0.00006669144,0.022067895,0.00026863892,0.0000034383363],"about_ca_topic_score_codex":0.004545266,"about_ca_topic_score_gemma":0.0028591144,"teacher_disagreement_score":0.004545266,"about_ca_system_score_codex":0.0012287701,"about_ca_system_score_gemma":0.0016179379,"threshold_uncertainty_score":0.01833719},"labels":[],"label_agreement":null},{"id":"W4206079329","doi":"10.1093/rof/rfac001","title":"How Do Options Add Value? Evidence from the Convertible Bond Market","year":2022,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Convertible bond; Issuer; Convertible arbitrage; Convertible; Business; Embedded option; Valuation of options; Value (mathematics); Stock (firearms); Bond; Financial economics; Economics; Finance; Capital asset pricing model; Computer science; Arbitrage pricing theory","score_opus":0.060650575349536266,"score_gpt":0.22710639583705636,"score_spread":0.16645582048752008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206079329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84555453,0.019090077,0.0018604725,0.016488612,0.0001950506,0.000055892368,0.0006084964,0.000029986297,0.116116926],"genre_scores_gemma":[0.9935557,0.003151062,0.00017959013,0.0005854067,0.0001659661,0.000005025047,0.00014397371,0.0000067200885,0.0022065172],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99891675,0.00046669273,0.000048460864,0.00012332598,0.0003482633,0.00009645842],"domain_scores_gemma":[0.940228,0.046530396,0.007455679,0.0019444831,0.0024489749,0.0013924699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003358629,0.00025129985,0.0004985713,0.0011665056,0.00039201093,0.0024801877,0.0008669048,0.0013960545,0.020109639],"category_scores_gemma":[0.039184656,0.00019681761,0.00030476987,0.001132541,0.0017813881,0.0035191935,0.0011413601,0.0020208047,0.0011511507],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007858163,0.0033410944,0.29257518,0.002473108,0.001305765,0.0028822792,0.0028231002,0.005264178,0.0024539675,0.31251758,0.023647433,0.3428581],"study_design_scores_gemma":[0.0013686888,0.0013874834,0.5532074,0.0013173037,0.0009548998,0.0015466928,0.005585669,0.008843297,0.0025835314,0.35200772,0.07107302,0.00012421704],"about_ca_topic_score_codex":0.001124594,"about_ca_topic_score_gemma":0.0008535059,"teacher_disagreement_score":0.020109639,"about_ca_system_score_codex":0.00032412424,"about_ca_system_score_gemma":0.00018539891,"threshold_uncertainty_score":0.06727338},"labels":[],"label_agreement":null},{"id":"W4206509943","doi":"10.3390/jrfm15010030","title":"Integrated Intellectual Investment Portfolio as an Efficient Instrument to Manage Personal Financial Investment","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Investment performance; Rate of return; Return on investment; Economics; Investment strategy; Capital market; Portfolio; Financial market; Stock market; Capital market line; Financial economics; Business; German; Finance; Market depth; Microeconomics; Profit (economics)","score_opus":0.016485001848029025,"score_gpt":0.2017762783384043,"score_spread":0.18529127649037527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206509943","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30307359,0.0011378663,0.6603588,0.0008195997,0.00019882788,0.00047907783,0.00041265922,0.002049224,0.031470407],"genre_scores_gemma":[0.8878806,0.00032537646,0.107565954,0.00007585888,0.000047096455,0.00010254332,0.00025030028,0.000030838135,0.003721505],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99938774,0.0001601006,0.000044368957,0.000095794276,0.00024746335,0.00006462784],"domain_scores_gemma":[0.99950445,0.00014817274,0.00008237299,0.00007072665,0.0001478846,0.000046424913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012548986,0.00042937053,0.00052556756,0.00084860827,0.0002507642,0.001699502,0.0006190151,0.0005053691,0.0033870107],"category_scores_gemma":[0.0020794333,0.00015333765,0.00028692,0.00069949444,0.00018536426,0.0018184183,0.00068886706,0.00036687503,0.0007503251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005140088,0.0007695946,0.019645154,0.00015924512,0.00019300808,0.0003557087,0.0002171816,0.20830952,0.012906453,0.034138653,0.0060789855,0.7167125],"study_design_scores_gemma":[0.00007482517,0.0004679286,0.005178626,0.000038771952,0.00011145878,0.00019188318,0.00009066911,0.9625041,0.007338164,0.015306808,0.008664465,0.00003240494],"about_ca_topic_score_codex":0.0011705741,"about_ca_topic_score_gemma":0.0009872448,"teacher_disagreement_score":0.0033870107,"about_ca_system_score_codex":0.0005121173,"about_ca_system_score_gemma":0.0006659857,"threshold_uncertainty_score":0.011330664},"labels":[],"label_agreement":null},{"id":"W4206521800","doi":"10.3390/jrfm15010033","title":"You Learn When It Hurts: Evidence in the Mutual Fund Industry","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Gobierno de Aragón","keywords":"Mutual fund; Manager of managers fund; Incentive; Target date fund; Fund administration; Equity (law); Business; Index fund; Order (exchange); Process (computing); Empirical evidence; Open-end fund; Actuarial science; Investment fund; Economics; Finance; Microeconomics; Computer science; Institutional investor","score_opus":0.06050373569359445,"score_gpt":0.2383902596933734,"score_spread":0.17788652399977894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206521800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99559647,0.0013556589,0.000456631,0.0006590007,0.000010934647,0.000009367253,0.000092097885,0.0000073834003,0.0018125233],"genre_scores_gemma":[0.9983462,0.000629612,0.00016378362,0.00006954758,0.00004341407,0.000004172067,0.00011834031,0.0000041885755,0.000620644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828976,0.0005725655,0.00014257651,0.0003225568,0.00042105306,0.0002515455],"domain_scores_gemma":[0.9459672,0.030414125,0.016307104,0.0028473733,0.002709892,0.0017542928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041044643,0.00024554128,0.00038970343,0.0017603617,0.00056252006,0.0011218687,0.0006272795,0.001515453,0.0027301281],"category_scores_gemma":[0.042159505,0.0001455379,0.00032592143,0.0012463981,0.0011295554,0.0017580673,0.0014595969,0.0009244019,0.0006204368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010394164,0.00066835317,0.89667463,0.00025526222,0.00025939406,0.0010258921,0.0048082713,0.0018948821,0.00052963186,0.002257121,0.0022240651,0.08836297],"study_design_scores_gemma":[0.00005895587,0.0005086845,0.9785008,0.00017310932,0.0001823144,0.0005660522,0.004619719,0.0049271625,0.001021137,0.002577862,0.0068195593,0.000044626322],"about_ca_topic_score_codex":0.0083907945,"about_ca_topic_score_gemma":0.006889126,"teacher_disagreement_score":0.0083907945,"about_ca_system_score_codex":0.0004602186,"about_ca_system_score_gemma":0.00037149785,"threshold_uncertainty_score":0.02170676},"labels":[],"label_agreement":null},{"id":"W4206900992","doi":"10.2139/ssrn.2136164","title":"The Active Share Measure and the Stock Size Factor in Equity Mutual Funds","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Business; Equity (law); Financial system; Financial economics; Economics","score_opus":0.03411058661034994,"score_gpt":0.24309082551884828,"score_spread":0.20898023890849834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206900992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98604983,0.0007800053,0.008722538,0.0006865179,0.00002246789,0.000008438897,0.000109656656,0.000028977725,0.003591641],"genre_scores_gemma":[0.99870014,0.000153203,0.00032230865,0.000013127944,0.000044011344,0.0000030849405,0.000052291092,0.0000051586226,0.00070666976],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99961555,0.00015388959,0.00003567918,0.000058742447,0.000073449846,0.0000627982],"domain_scores_gemma":[0.98567235,0.010207337,0.0025358929,0.00038337408,0.0005348369,0.0006660903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020460228,0.00039072323,0.0004511592,0.001387746,0.00039835906,0.0020018038,0.0006641409,0.000982131,0.0033586686],"category_scores_gemma":[0.020469213,0.00025008325,0.00036885188,0.0009544834,0.0013351039,0.004819794,0.0009637282,0.0008953072,0.00024929811],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015368963,0.00022456702,0.2926672,0.00018124422,0.00025967805,0.0010677874,0.0016219575,0.032059886,0.004445484,0.58717346,0.003903486,0.07485831],"study_design_scores_gemma":[0.0001643805,0.0004218101,0.260956,0.00009077166,0.00023686462,0.00062351744,0.0014597492,0.14176776,0.0048402227,0.58547497,0.003857748,0.000106114116],"about_ca_topic_score_codex":0.0031632907,"about_ca_topic_score_gemma":0.0032957634,"teacher_disagreement_score":0.0033586686,"about_ca_system_score_codex":0.0009406032,"about_ca_system_score_gemma":0.0004385152,"threshold_uncertainty_score":0.011235833},"labels":[],"label_agreement":null},{"id":"W4207027300","doi":"10.1142/s0219024922500017","title":"HEDGING OF AMERICAN OPTIONS IN ILLIQUID MARKETS WITH PRICE IMPACTS","year":2022,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Derivative (finance); Asset (computer security); Stochastic game; Strike price; Market liquidity; Variational inequality; Call option; Economics; Value (mathematics); Exotic option; Econometrics; Valuation of options; Microeconomics; Computer science; Mathematical optimization; Financial economics; Finance; Volatility (finance); Mathematics","score_opus":0.007581234268450681,"score_gpt":0.2116549562165575,"score_spread":0.20407372194810683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207027300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7803154,0.0013192381,0.20565444,0.0013203647,0.00011329313,0.00007483935,0.00014973889,0.00009660154,0.010956046],"genre_scores_gemma":[0.99406487,0.00018726694,0.0035329121,0.000060219172,0.000020207632,0.000016514867,0.000027429827,0.000008730988,0.0020816727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999303,0.0003216334,0.000036713805,0.000100951656,0.000108166794,0.00012958828],"domain_scores_gemma":[0.99528706,0.0029437745,0.0009487611,0.00019426632,0.00019086039,0.0004352503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030135221,0.0011698673,0.0013330507,0.00066914764,0.0006069972,0.0026536111,0.0012021696,0.0023791501,0.0023800442],"category_scores_gemma":[0.0071245045,0.00063324586,0.00091139023,0.00047847923,0.0029532574,0.00318874,0.0019381285,0.0019913758,0.00011608106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037180298,0.000121660036,0.0016083948,0.00007679605,0.00007887398,0.00088059535,0.00013192566,0.8882295,0.004760134,0.10001004,0.00026978052,0.003460542],"study_design_scores_gemma":[0.000030462576,0.00007755757,0.00039901692,0.0000100530715,0.000020235999,0.000045069955,0.000036656358,0.96810156,0.0004868971,0.030611334,0.00015875325,0.000022422077],"about_ca_topic_score_codex":0.0031740116,"about_ca_topic_score_gemma":0.0017769404,"teacher_disagreement_score":0.0031740116,"about_ca_system_score_codex":0.0011939888,"about_ca_system_score_gemma":0.00069995795,"threshold_uncertainty_score":0.01593721},"labels":[],"label_agreement":null},{"id":"W4210323310","doi":"10.2139/ssrn.4010173","title":"Earnings Versus Cash Flows in Equity Valuation: Evidence from the COVID-19 Crisis","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Equity (law); Business; Financial crisis; Monetary economics; Financial system; Valuation (finance); Cash flow; Earnings; Financial economics; Economics; Accounting; Medicine; Internal medicine; Political science; Macroeconomics","score_opus":0.10428178826953145,"score_gpt":0.3013122341860918,"score_spread":0.19703044591656038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210323310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854218,0.00132273,0.00007003349,0.00239327,0.000025183486,0.0000054602588,0.00057480414,0.0000053170124,0.010181442],"genre_scores_gemma":[0.9980123,0.0006272909,0.000022681119,0.00011978144,0.00003630123,0.0000025709985,0.00043429152,0.000004683371,0.0007401588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960464,0.00011840442,0.000030092671,0.000051367657,0.00010156112,0.00009391534],"domain_scores_gemma":[0.98238313,0.008414607,0.0054760613,0.0005593121,0.0017067366,0.0014601945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018776113,0.00021474743,0.00030745743,0.00084418734,0.00052818225,0.0029051076,0.0005417043,0.0011186812,0.0057053124],"category_scores_gemma":[0.019743934,0.00018677757,0.00015449148,0.0013408125,0.00124951,0.0023054245,0.0014375254,0.0022835894,0.00072055537],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006290563,0.0010727879,0.9111449,0.00019314446,0.00014054307,0.0007256991,0.0027082998,0.0012078014,0.0011207534,0.016771652,0.010542827,0.04808113],"study_design_scores_gemma":[0.000083300205,0.0001302291,0.9880041,0.00006675307,0.000037661535,0.000087107095,0.0023575877,0.0007238473,0.00031452137,0.0049482617,0.003230339,0.00001639606],"about_ca_topic_score_codex":0.013457301,"about_ca_topic_score_gemma":0.012873348,"teacher_disagreement_score":0.013457301,"about_ca_system_score_codex":0.0008178213,"about_ca_system_score_gemma":0.0005028026,"threshold_uncertainty_score":0.026757956},"labels":[],"label_agreement":null},{"id":"W4210334147","doi":"10.1111/fima.12389","title":"Individual investors' dispersion in beliefs and stock returns","year":2022,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Stock (firearms); Dispersion (optics); Volatility (finance); Affect (linguistics); Economics; Financial economics; Monetary economics; Econometrics; Psychology; Geography","score_opus":0.025558226724484392,"score_gpt":0.19932368852878987,"score_spread":0.17376546180430547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210334147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987091,0.00006739427,0.00037693503,0.000043675238,0.0000016217493,0.0000032891344,0.00009125309,0.0000038566704,0.00070273277],"genre_scores_gemma":[0.9997757,0.000018671863,0.00007223571,0.0000042546717,0.0000032326466,0.0000012420011,0.00004318713,4.2351527e-7,0.00008114424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995554,0.00012386737,0.000058539437,0.00006867851,0.00012656822,0.000066977685],"domain_scores_gemma":[0.9767224,0.010542406,0.009616475,0.0010806568,0.0009981743,0.001039831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016208028,0.00020984927,0.00031439777,0.0009840961,0.00016571344,0.0010929696,0.00022291314,0.00052062,0.0018197118],"category_scores_gemma":[0.014667471,0.00016572955,0.0001588395,0.00071285176,0.00031477748,0.00064878276,0.0004479273,0.0005348231,0.00023674495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011933918,0.00008791098,0.9918858,0.000009001586,0.00015197466,0.00005034898,0.00020871579,0.0019022757,0.00059030746,0.00041635195,0.0000862682,0.004491726],"study_design_scores_gemma":[0.000010623348,0.00008738733,0.9913811,0.000011766501,0.000033175,0.000091562266,0.00025345996,0.0060683684,0.00037755104,0.001472191,0.00019997607,0.000012776742],"about_ca_topic_score_codex":0.0019882282,"about_ca_topic_score_gemma":0.0017087213,"teacher_disagreement_score":0.0019882282,"about_ca_system_score_codex":0.00036508744,"about_ca_system_score_gemma":0.000108152846,"threshold_uncertainty_score":0.008571684},"labels":[],"label_agreement":null},{"id":"W4210351921","doi":"10.2139/ssrn.3990000","title":"Disagreement, Liquidity, and Price Drifts in the Corporate Bond Market","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Market liquidity; Corporate bond; Monetary economics; Bond; Financial economics; Economics; Business; Financial system; Finance","score_opus":0.025932771714281697,"score_gpt":0.2098815872957439,"score_spread":0.1839488155814622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210351921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946466,0.00068432663,0.0016263023,0.0013755192,0.000028855622,0.0000075138905,0.00011347741,0.000022056221,0.0014952652],"genre_scores_gemma":[0.99921465,0.00015733003,0.00009329821,0.000050264556,0.00005168144,0.0000035734033,0.00005915341,0.0000050557114,0.00036499865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992939,0.00030693586,0.000066250264,0.000106723295,0.00010508775,0.00012108429],"domain_scores_gemma":[0.95104945,0.03507314,0.009761274,0.0009562072,0.0011495511,0.002010414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068209856,0.00029370363,0.00091790623,0.0009786274,0.0007435289,0.0037770907,0.0007920325,0.002688489,0.0035170673],"category_scores_gemma":[0.060952358,0.0004235499,0.0003459756,0.00093389733,0.001674534,0.0047928714,0.0014470153,0.0036385565,0.00039534917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011155391,0.0015925049,0.6265473,0.00040947125,0.00070778735,0.002945821,0.0042407485,0.11759077,0.011334932,0.15912227,0.008487708,0.055865236],"study_design_scores_gemma":[0.00075443974,0.0008331549,0.37420017,0.00010421059,0.00032568618,0.0008329459,0.0025223522,0.34585413,0.0015104891,0.27130562,0.0015261001,0.00023071162],"about_ca_topic_score_codex":0.0020061743,"about_ca_topic_score_gemma":0.0014731003,"teacher_disagreement_score":0.0068209856,"about_ca_system_score_codex":0.0007652058,"about_ca_system_score_gemma":0.00040820733,"threshold_uncertainty_score":0.036073267},"labels":[],"label_agreement":null},{"id":"W4210394290","doi":"10.1080/14697688.2021.2009904","title":"Proper fund size: a perspective from both investors and fund managers","year":2022,"lang":"en","type":"article","venue":"Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Open-end fund; Closed-end fund; Fund of funds; Income fund; Business; Manager of managers fund; Investment fund; Finance; Equity (law); Market timing; Passive management; Performance fee; Feeder fund; Target date fund; Private equity fund; Institutional investor; Private equity; Initial public offering; Corporate governance","score_opus":0.08202953227441159,"score_gpt":0.2647501723426276,"score_spread":0.182720640068216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210394290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46807697,0.015628103,0.4477841,0.022659266,0.00026310713,0.00014050926,0.00041653207,0.00023110629,0.044800274],"genre_scores_gemma":[0.9851104,0.00092663977,0.012742117,0.00025516187,0.00022671248,0.00003709577,0.000043675413,0.000013295146,0.00064487226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972384,0.0014320406,0.00018669869,0.00034684892,0.0005475145,0.00024848527],"domain_scores_gemma":[0.9806678,0.011859755,0.004475033,0.0007706427,0.0011709322,0.0010558334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007712495,0.0005849434,0.0007572604,0.0029741274,0.00066126534,0.0039154408,0.0010952735,0.0012900069,0.0014404833],"category_scores_gemma":[0.03307884,0.0002934699,0.0005505812,0.0015703352,0.0039643673,0.009592544,0.0016666196,0.0019006125,0.00013580098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023034857,0.00008579026,0.104628846,0.00021959565,0.00010129215,0.00052512484,0.0028247414,0.025537964,0.0015828343,0.76222295,0.0030293204,0.09901124],"study_design_scores_gemma":[0.00007383909,0.00038729154,0.066221215,0.00034983072,0.00010516862,0.0008907311,0.0042474954,0.09152033,0.002037236,0.80783004,0.02618744,0.00014945793],"about_ca_topic_score_codex":0.0025178888,"about_ca_topic_score_gemma":0.001417973,"teacher_disagreement_score":0.007712495,"about_ca_system_score_codex":0.001966593,"about_ca_system_score_gemma":0.0013814897,"threshold_uncertainty_score":0.040788054},"labels":[],"label_agreement":null},{"id":"W4210394963","doi":"10.3390/jrfm15020066","title":"The Dynamic Relationship between Investor Attention and Stock Market Volatility: International Evidence","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Implied volatility; Econometrics; Economics; Stock (firearms); Volatility swap; Volatility smile; Volatility risk premium; Financial economics; Stock market; Forward volatility; Geography","score_opus":0.034460943340970523,"score_gpt":0.2376286328239732,"score_spread":0.20316768948300268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210394963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99214447,0.0025333636,0.0005924254,0.0007027461,0.00001715723,0.000005231911,0.00018940977,0.000007987189,0.0038073459],"genre_scores_gemma":[0.9986809,0.0008128285,0.00009126574,0.000044356184,0.000054168126,0.000001285136,0.00014889128,0.0000024287933,0.00016394966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995414,0.00013803235,0.00004114019,0.00010783238,0.00010756687,0.0000640836],"domain_scores_gemma":[0.98331684,0.009964783,0.0048610163,0.0007126774,0.00075356883,0.0003910597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015042208,0.00022029465,0.0003317328,0.0009225176,0.00019171991,0.0012019743,0.00041079783,0.00071048114,0.001496005],"category_scores_gemma":[0.012620659,0.00017773277,0.0003707595,0.0014867351,0.0004860054,0.0013980923,0.0006237877,0.0007539597,0.00032209945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025134202,0.00011882515,0.96800977,0.000064482294,0.0003008681,0.00020334605,0.00027211203,0.0019895795,0.0004035986,0.0012062658,0.000568952,0.026610918],"study_design_scores_gemma":[0.00001115623,0.00010529985,0.99171525,0.000030604813,0.00017413193,0.00014990695,0.00022720054,0.005440894,0.00035072817,0.0008798619,0.00090301165,0.00001192035],"about_ca_topic_score_codex":0.006301172,"about_ca_topic_score_gemma":0.0051510124,"teacher_disagreement_score":0.006301172,"about_ca_system_score_codex":0.00031221163,"about_ca_system_score_gemma":0.00015881496,"threshold_uncertainty_score":0.012528956},"labels":[],"label_agreement":null},{"id":"W4210784128","doi":"10.1093/rof/rfac008","title":"Passive-Aggressive Trading: The Supply and Demand of Liquidity by Mutual Funds","year":2022,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; York University; University of Toronto","funders":"","keywords":"Market liquidity; Business; Monetary economics; Financial system; Finance; Economics","score_opus":0.02774035641509953,"score_gpt":0.21206108210722652,"score_spread":0.18432072569212699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210784128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7253002,0.23352091,0.0018350809,0.0067553716,0.00008621632,0.000016397402,0.0004731436,0.000020593976,0.031992197],"genre_scores_gemma":[0.97294825,0.025412021,0.00018898505,0.00020481624,0.00014729418,0.000006557339,0.00014242082,0.000003985801,0.00094570144],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99943656,0.00026364732,0.00005100436,0.00004591437,0.00013950994,0.00006330572],"domain_scores_gemma":[0.9962888,0.0018062535,0.0013355943,0.00007129952,0.00032225522,0.000175834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012659819,0.0001608394,0.00029397118,0.0006722532,0.00012387145,0.0015278449,0.0002904999,0.0005658382,0.0017375876],"category_scores_gemma":[0.005403855,0.00011823447,0.00020818737,0.0008133038,0.00036465458,0.0012424433,0.00041394428,0.00031924865,0.00022107527],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046650204,0.000274349,0.23274072,0.006576158,0.0016045525,0.0015799804,0.0019237329,0.00846665,0.023729222,0.16478284,0.018588576,0.5350682],"study_design_scores_gemma":[0.0007351163,0.0008711722,0.70866984,0.0031401354,0.0009928114,0.0031825,0.0024943962,0.013487883,0.0052924766,0.14611545,0.11488917,0.00012910296],"about_ca_topic_score_codex":0.0009806514,"about_ca_topic_score_gemma":0.0010144342,"teacher_disagreement_score":0.0017375876,"about_ca_system_score_codex":0.00049745716,"about_ca_system_score_gemma":0.00032820104,"threshold_uncertainty_score":0.0066952705},"labels":[],"label_agreement":null},{"id":"W4210963048","doi":"10.1080/00036846.2022.2036689","title":"Institutional investor attention and stock market volatility and liquidity: international evidence","year":2022,"lang":"en","type":"article","venue":"Applied Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Institutional investor; Market liquidity; Stock (firearms); Economics; Stock market; Monetary economics; Financial economics; Finance; Corporate governance","score_opus":0.0449778554744964,"score_gpt":0.21424490017460726,"score_spread":0.16926704470011086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210963048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97798413,0.008557451,0.0005857996,0.0013618729,0.000046734913,0.000012266555,0.0010919116,0.000019779582,0.010340106],"genre_scores_gemma":[0.99628085,0.0022164828,0.0001455578,0.00016382805,0.00015537682,0.000004327728,0.0006266291,0.000005760322,0.0004011385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994785,0.00013246026,0.00006260382,0.00012635409,0.00011697517,0.00008310784],"domain_scores_gemma":[0.9725114,0.008899592,0.015191505,0.0010983992,0.0012107093,0.0010883532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014266872,0.00023484143,0.00029958834,0.0017270033,0.0002712565,0.0016927724,0.0004175611,0.0005619057,0.0030593274],"category_scores_gemma":[0.012231166,0.00014386095,0.00035664087,0.0029104494,0.0005692304,0.0012655811,0.00093750615,0.0006267778,0.00044508325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015242644,0.00006769193,0.9792718,0.00006927447,0.000348129,0.0001364947,0.0002909655,0.00031209877,0.00019095982,0.00080006436,0.00088425033,0.01747577],"study_design_scores_gemma":[0.000010330356,0.000045384044,0.9962374,0.00005366194,0.00017656646,0.00013122433,0.00026928895,0.00046316744,0.00022568661,0.00045058873,0.001926252,0.000010475677],"about_ca_topic_score_codex":0.007233801,"about_ca_topic_score_gemma":0.007843519,"teacher_disagreement_score":0.007233801,"about_ca_system_score_codex":0.00028420318,"about_ca_system_score_gemma":0.00023288993,"threshold_uncertainty_score":0.014383376},"labels":[],"label_agreement":null},{"id":"W4211214375","doi":"10.1007/s11142-022-09673-5","title":"Filing speed, information leakage, and price formation","year":2022,"lang":"en","type":"article","venue":"Review of Accounting Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Endogeneity; Extant taxon; Public finance; Exploit; Institutional investor; Equity (law); Corporate finance; Price discovery; Leakage (economics); Information leakage; Business; Monetary economics; Financial economics; Economics; Initial public offering; Financial system; Finance; Econometrics; Corporate governance; Political science; Macroeconomics; Law","score_opus":0.039548210562448886,"score_gpt":0.2568626498326633,"score_spread":0.21731443927021443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211214375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69604117,0.19956957,0.034745626,0.016909588,0.00083376537,0.00009430933,0.0016224523,0.0004513986,0.049732167],"genre_scores_gemma":[0.9551468,0.03669502,0.0032701748,0.0003191428,0.0011671743,0.000013993261,0.0003865342,0.0000418033,0.0029593606],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9972283,0.0006802636,0.0003667051,0.00042834246,0.0010851679,0.00021120824],"domain_scores_gemma":[0.92133796,0.0434525,0.024663975,0.0035717264,0.006265709,0.0007081136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005176716,0.00035132255,0.0005355102,0.0027321503,0.0004954547,0.005790271,0.0008108473,0.0018341979,0.0037955372],"category_scores_gemma":[0.059223916,0.00038725106,0.00038465016,0.0048298202,0.001691093,0.008220027,0.00082946,0.0016690134,0.0009322704],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007671613,0.00047951535,0.23228261,0.0013519684,0.00046967802,0.00042805163,0.0012110475,0.014961428,0.0032636598,0.10665017,0.015757484,0.6223773],"study_design_scores_gemma":[0.00013433008,0.00043838212,0.5452527,0.0013492166,0.00073506194,0.0018870995,0.002240875,0.03768857,0.006807356,0.3402049,0.062892646,0.0003689569],"about_ca_topic_score_codex":0.0016933194,"about_ca_topic_score_gemma":0.0012589834,"teacher_disagreement_score":0.005790271,"about_ca_system_score_codex":0.0010557802,"about_ca_system_score_gemma":0.0009310552,"threshold_uncertainty_score":0.027377427},"labels":[],"label_agreement":null},{"id":"W4212792846","doi":"10.55365/1923.x2021.19.06","title":"Bear Market Mutual Funds: Do they Deliver as Promised?","year":2021,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Passive management; Business; Financial market; Index (typography); Economics; Financial economics; Monetary economics; Finance; Fund of funds; Market liquidity","score_opus":0.02315469746816546,"score_gpt":0.21608175157038323,"score_spread":0.19292705410221778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212792846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.721528,0.030031404,0.004764576,0.07601675,0.0009787175,0.000103318715,0.0020304634,0.00046996697,0.16407683],"genre_scores_gemma":[0.9821584,0.0046355105,0.00071567757,0.0013790898,0.0005538749,0.000023802027,0.0002537462,0.00003711233,0.010242711],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980597,0.0004918715,0.000061493,0.00010061925,0.0010390432,0.00024720095],"domain_scores_gemma":[0.9953864,0.000800291,0.0018788574,0.0002432702,0.0009191847,0.0007720171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003246323,0.00019882545,0.00028575023,0.00080630067,0.00039483936,0.0038255812,0.0006463363,0.0010715955,0.0052551287],"category_scores_gemma":[0.02338676,0.00011584685,0.0002010983,0.0009576793,0.0007128511,0.00472563,0.00088628905,0.00086884905,0.0016054636],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015666025,0.00026327503,0.13653821,0.00043326023,0.0002352091,0.0004556031,0.0016420673,0.0019156452,0.002276354,0.15308699,0.089972444,0.6116144],"study_design_scores_gemma":[0.000543135,0.0022419645,0.3174609,0.0010104645,0.00042494482,0.0017705096,0.005253525,0.010455845,0.006967546,0.11307058,0.5405872,0.00021349255],"about_ca_topic_score_codex":0.0027483355,"about_ca_topic_score_gemma":0.0033114373,"teacher_disagreement_score":0.0052551287,"about_ca_system_score_codex":0.0014702899,"about_ca_system_score_gemma":0.0011595704,"threshold_uncertainty_score":0.017580152},"labels":[],"label_agreement":null},{"id":"W4212797690","doi":"10.3390/jrfm15020095","title":"On Survivor Stocks in the S&amp;P 500 Stock Index","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Volatility (finance); Growth stock; Economics; Stock (firearms); Margin (machine learning); Profitability index; Monetary economics; Financial economics; Stock market index; Portfolio; Econometrics; Stock market; Stock market bubble; Finance; Geography","score_opus":0.020600895936272717,"score_gpt":0.20971575432748513,"score_spread":0.18911485839121242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212797690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817705,0.00012020646,0.00016136211,0.000057528472,0.0000059420627,0.0000046903397,0.00037236538,0.00000640155,0.0010944719],"genre_scores_gemma":[0.9981475,0.000118249074,0.000075774085,0.000026601665,0.000022186961,0.000002442835,0.0008788359,0.0000031398497,0.0007253011],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926907,0.00012937383,0.00006244207,0.00010358754,0.00031486526,0.00012073156],"domain_scores_gemma":[0.9878763,0.005149982,0.0045224945,0.0005159204,0.0010092651,0.00092609547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014682127,0.00045975577,0.00046747483,0.0017220892,0.00022792352,0.00085143297,0.00034108848,0.00054894836,0.0028494976],"category_scores_gemma":[0.008036969,0.000090551635,0.000336581,0.0014442984,0.00038158154,0.0012901518,0.00073378644,0.00051623856,0.0009981589],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000281172,0.000092385264,0.9873842,0.000017643122,0.000123815,0.0002503437,0.000093532326,0.0017237149,0.0007573348,0.00030855706,0.0004844064,0.008482827],"study_design_scores_gemma":[0.000009338567,0.0003581309,0.9909417,0.0000119110855,0.0000597525,0.00015439006,0.00024114913,0.006373482,0.00095128565,0.00030329663,0.0005813385,0.000014196632],"about_ca_topic_score_codex":0.0071027484,"about_ca_topic_score_gemma":0.00954119,"teacher_disagreement_score":0.0071027484,"about_ca_system_score_codex":0.0003407937,"about_ca_system_score_gemma":0.00027366375,"threshold_uncertainty_score":0.014122844},"labels":[],"label_agreement":null},{"id":"W4212888856","doi":"10.2139/ssrn.4001583","title":"Can a Machine Learn from Behavioral Biases? Evidence from Stock Return Predictability of Deep Learning Models","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Predictability; Cognitive psychology; Behavioral economics; Artificial intelligence; Stock (firearms); Psychology; Machine learning; Computer science; Economics; Engineering; Finance; Mathematics","score_opus":0.053897181925376354,"score_gpt":0.24367469319285082,"score_spread":0.18977751126747447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212888856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748481,0.0006362944,0.016749153,0.0033929702,0.00005915763,0.000011629581,0.00039683355,0.00011539249,0.00379042],"genre_scores_gemma":[0.9980888,0.00022648716,0.0009324793,0.00012285273,0.000027567241,0.0000034243412,0.00018078237,0.000016349975,0.0004012642],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949837,0.00017886474,0.000038130762,0.00010442813,0.0001068638,0.000073302894],"domain_scores_gemma":[0.9764866,0.01720302,0.0025431034,0.0023037072,0.0010292858,0.00043424047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029721558,0.00047581166,0.00049045443,0.00050264853,0.00026689385,0.0014211127,0.00079995743,0.0009857232,0.0025600865],"category_scores_gemma":[0.029738499,0.00056578807,0.00044935956,0.00061409577,0.0009480927,0.0020229965,0.000792893,0.0021195011,0.0005878718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022029472,0.000766601,0.5653595,0.0003117452,0.0011369763,0.00051651173,0.0007502885,0.18905751,0.0105621675,0.04042067,0.007154085,0.181761],"study_design_scores_gemma":[0.00015341984,0.00030279483,0.22579536,0.00008660198,0.00022638375,0.0002412275,0.0002157408,0.6445769,0.0044962056,0.121609785,0.0022155617,0.00008004341],"about_ca_topic_score_codex":0.0035852937,"about_ca_topic_score_gemma":0.0024081315,"teacher_disagreement_score":0.0035852937,"about_ca_system_score_codex":0.0003407443,"about_ca_system_score_gemma":0.00039508374,"threshold_uncertainty_score":0.01571846},"labels":[],"label_agreement":null},{"id":"W4213035763","doi":"10.55365/1923.x2021.19.15","title":"Market-share Changes and Net Flows of Equity Mutual Funds in the U.S.: Quantile Analysis","year":2021,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Cincinnati","keywords":"Mutual fund; Equity (law); Inflow; Economics; Closed-end fund; Net asset value; Outflow; Quantile; Econometrics; Financial economics; Business; Monetary economics; Finance; Market liquidity","score_opus":0.053065480708075874,"score_gpt":0.2585610903266584,"score_spread":0.20549560961858254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213035763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996671,0.0005085712,0.0006727422,0.00010915827,0.00000485366,0.000003416641,0.0007315443,0.000018303344,0.0012804898],"genre_scores_gemma":[0.9990963,0.00017152504,0.00010309386,0.000009472462,0.0000068057784,0.000001992855,0.00040955082,0.0000021745043,0.00019908547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982435,0.000050361796,0.000010787704,0.000035150155,0.000049668844,0.00002956574],"domain_scores_gemma":[0.99879223,0.00032132675,0.0005829273,0.000062852785,0.00017646606,0.00006424562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005797664,0.00012802002,0.00013478774,0.0010583955,0.00009164401,0.00051623315,0.0001418776,0.00017957146,0.0008397756],"category_scores_gemma":[0.0028138114,0.000059485345,0.00018447032,0.001650964,0.00016525033,0.0004837128,0.00026651702,0.0002750737,0.00014549308],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001948591,0.00004540248,0.9552146,0.000029301582,0.00012928908,0.00015084234,0.0002952161,0.009240962,0.00084568415,0.003549037,0.0014285129,0.028876303],"study_design_scores_gemma":[0.0000024300048,0.000026745445,0.98936427,0.0000073379797,0.000015638167,0.000048742135,0.00008595563,0.0081108585,0.00038632317,0.0008993442,0.0010459244,0.000006378047],"about_ca_topic_score_codex":0.010973821,"about_ca_topic_score_gemma":0.007997253,"teacher_disagreement_score":0.010973821,"about_ca_system_score_codex":0.00059936446,"about_ca_system_score_gemma":0.00015047914,"threshold_uncertainty_score":0.02181989},"labels":[],"label_agreement":null},{"id":"W4213038428","doi":"10.1016/j.mulfin.2022.100733","title":"Foreign analysts and managerial investment learning from stock markets","year":2022,"lang":"en","type":"article","venue":"Journal of Multinational Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Business; Stock (firearms); Foreign portfolio investment; Foreign direct investment; Monetary economics; Financial system; Financial economics; Economics; Open-ended investment company; Return on investment; Macroeconomics; Microeconomics; Profit (economics)","score_opus":0.021901015275855567,"score_gpt":0.2110069197262552,"score_spread":0.18910590445039965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213038428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881803,0.0004514686,0.00053599576,0.0016063143,0.000022570139,0.0000067295123,0.00010115725,0.000011919926,0.009083448],"genre_scores_gemma":[0.99813324,0.00026581064,0.000111704925,0.00007465582,0.000029993178,0.0000025899155,0.00007855407,0.0000031062984,0.0013004367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985623,0.000054201013,0.000008984933,0.00002181616,0.000029983896,0.000028739061],"domain_scores_gemma":[0.9867077,0.009833341,0.0020421776,0.00028753094,0.00047231512,0.0006569371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013635085,0.00018443586,0.00026685518,0.0006290687,0.0003365977,0.002024889,0.00028625058,0.00096782146,0.0056347335],"category_scores_gemma":[0.017929465,0.00014611022,0.00016239415,0.0005380469,0.00048129036,0.0023268734,0.0006568143,0.0011061444,0.00039004424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009897992,0.0009906278,0.8544925,0.00010508281,0.00018171889,0.0009166328,0.0026177892,0.016975284,0.0018124371,0.030834781,0.005082073,0.08500128],"study_design_scores_gemma":[0.00015049022,0.00037333282,0.8246209,0.00015820182,0.00026934966,0.00028990797,0.0070808567,0.05743623,0.0016099832,0.10027828,0.007650437,0.000082087725],"about_ca_topic_score_codex":0.0046581663,"about_ca_topic_score_gemma":0.011050185,"teacher_disagreement_score":0.0056347335,"about_ca_system_score_codex":0.000705414,"about_ca_system_score_gemma":0.00046704547,"threshold_uncertainty_score":0.018850029},"labels":[],"label_agreement":null},{"id":"W4213046017","doi":"10.1080/13504851.2022.2041165","title":"The profitability of trading US stocks in Quarter 4 - evidence from trading signals emitted by SOI and RSI","year":2022,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Profitability index; Technical analysis; Stock (firearms); Econometrics; Financial economics; Economics; Business; Actuarial science; Finance; Engineering; Geography","score_opus":0.022376486352529704,"score_gpt":0.19182774797256408,"score_spread":0.16945126162003438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213046017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985286,0.0000632689,0.00010265884,0.000063806365,0.0000059764757,0.000002452336,0.00023951556,0.000005797844,0.0009878528],"genre_scores_gemma":[0.9991123,0.000061644445,0.000062406194,0.000012858587,0.00001669569,0.0000015826976,0.0005080277,0.0000015195448,0.00022298616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996978,0.000032352582,0.000042415693,0.000049110422,0.000115575545,0.00006277978],"domain_scores_gemma":[0.9943494,0.0009584233,0.0035336167,0.0002055635,0.00061008066,0.000342781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006328184,0.0001869691,0.00023832485,0.0012523559,0.00015220187,0.0008735295,0.0002069076,0.0003284305,0.0009880423],"category_scores_gemma":[0.004427329,0.00008241664,0.00026899477,0.0009086525,0.00026798877,0.00050624757,0.0005164768,0.0003614493,0.00027265146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001404947,0.000031292988,0.9921693,0.000014520844,0.000032166256,0.00012468049,0.000104623185,0.0003663893,0.0016700993,0.00021137933,0.00028339113,0.00485165],"study_design_scores_gemma":[0.0000018189659,0.00007213603,0.99750346,0.0000046414734,0.000018667892,0.00006090943,0.0001864136,0.0010368727,0.000595931,0.00012944067,0.0003843131,0.0000052987934],"about_ca_topic_score_codex":0.005169021,"about_ca_topic_score_gemma":0.006880727,"teacher_disagreement_score":0.005169021,"about_ca_system_score_codex":0.00030601924,"about_ca_system_score_gemma":0.00029639422,"threshold_uncertainty_score":0.010277867},"labels":[],"label_agreement":null},{"id":"W4213056678","doi":"10.55365/1923-8401.2021.19.06","title":"Bear Market Mutual Funds: Do they Deliver as Promised?","year":2021,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Passive management; Business; Economics; Index (typography); Index fund; Financial market; Financial economics; Monetary economics; Fund of funds; Institutional investor; Finance; Open-end fund; Market liquidity","score_opus":0.02315469746816546,"score_gpt":0.21608175157038323,"score_spread":0.19292705410221778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213056678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.721528,0.030031404,0.004764576,0.07601675,0.0009787175,0.000103318715,0.0020304634,0.00046996697,0.16407683],"genre_scores_gemma":[0.9821584,0.0046355105,0.00071567757,0.0013790898,0.0005538749,0.000023802027,0.0002537462,0.00003711233,0.010242711],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980597,0.0004918715,0.000061493,0.00010061925,0.0010390432,0.00024720095],"domain_scores_gemma":[0.9953864,0.000800291,0.0018788574,0.0002432702,0.0009191847,0.0007720171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003246323,0.00019882545,0.00028575023,0.00080630067,0.00039483936,0.0038255812,0.0006463363,0.0010715955,0.0052551287],"category_scores_gemma":[0.02338676,0.00011584685,0.0002010983,0.0009576793,0.0007128511,0.00472563,0.00088628905,0.00086884905,0.0016054636],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015666025,0.00026327503,0.13653821,0.00043326023,0.0002352091,0.0004556031,0.0016420673,0.0019156452,0.002276354,0.15308699,0.089972444,0.6116144],"study_design_scores_gemma":[0.000543135,0.0022419645,0.3174609,0.0010104645,0.00042494482,0.0017705096,0.005253525,0.010455845,0.006967546,0.11307058,0.5405872,0.00021349255],"about_ca_topic_score_codex":0.0027483355,"about_ca_topic_score_gemma":0.0033114373,"teacher_disagreement_score":0.0052551287,"about_ca_system_score_codex":0.0014702899,"about_ca_system_score_gemma":0.0011595704,"threshold_uncertainty_score":0.017580152},"labels":[],"label_agreement":null},{"id":"W4213166963","doi":"10.1016/j.gfj.2022.100713","title":"CEO happiness and forecasting","year":2022,"lang":"en","type":"article","venue":"Global Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; Simon Fraser University","funders":"","keywords":"Happiness; IBM; Earnings; Watson; Test (biology); Economics; Econometrics; Tone (literature); Actuarial science; Business; Accounting; Psychology; Computer science; Social psychology","score_opus":0.039280648541924604,"score_gpt":0.20700721405298309,"score_spread":0.16772656551105847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213166963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96529096,0.001195361,0.005826992,0.001836487,0.000097510754,0.000025121413,0.0005645565,0.00004076243,0.025122326],"genre_scores_gemma":[0.99879944,0.00015694178,0.00029765337,0.000046546967,0.000038583934,0.0000038077415,0.00010391011,0.000002879694,0.00055020157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930155,0.00022841101,0.000054234264,0.000075091375,0.00021517392,0.00012560409],"domain_scores_gemma":[0.9904997,0.0039944034,0.0031905088,0.00033931353,0.0010847332,0.0008912421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001678769,0.00020502487,0.00022694771,0.00097553496,0.0005032526,0.0017037522,0.00016342496,0.00035365095,0.003234584],"category_scores_gemma":[0.018617779,0.00010047726,0.0001757094,0.0009514191,0.00026077006,0.00082499965,0.0007430727,0.0005202757,0.00050954515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027317327,0.000093426235,0.88832504,0.000052526357,0.000118817276,0.00015233237,0.0011382612,0.009418638,0.0007513108,0.0065805167,0.0043493877,0.08874661],"study_design_scores_gemma":[0.000015611271,0.00014606508,0.9430996,0.000064569576,0.00006329418,0.0001567066,0.0025985842,0.031966172,0.00096665515,0.013142605,0.007714712,0.00006539516],"about_ca_topic_score_codex":0.003677408,"about_ca_topic_score_gemma":0.0035614716,"teacher_disagreement_score":0.003677408,"about_ca_system_score_codex":0.0004827901,"about_ca_system_score_gemma":0.00035811387,"threshold_uncertainty_score":0.010820806},"labels":[],"label_agreement":null},{"id":"W4213211270","doi":"10.1093/rfs/hhac011","title":"Macroeconomic Attention and Announcement Risk Premia","year":2022,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Unemployment; Economics; Volatility (finance); Construct (python library); Risk premium; Monetary economics; Financial economics; Macroeconomics; Computer science","score_opus":0.03471340121262342,"score_gpt":0.25348138636247486,"score_spread":0.21876798514985143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213211270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9645207,0.0069169523,0.004654814,0.001788764,0.00016665117,0.00003865855,0.0008728192,0.00008209248,0.020958627],"genre_scores_gemma":[0.99652404,0.0015156227,0.00027332982,0.00007392087,0.00027098067,0.0000067688948,0.00023169542,0.0000067523893,0.0010969832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996228,0.0000948899,0.0000361264,0.000067500405,0.00011739676,0.000061255414],"domain_scores_gemma":[0.9745343,0.011188006,0.011280002,0.00054522004,0.0014360459,0.0010164519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014682057,0.00019058226,0.00027964357,0.0012861749,0.00016380625,0.0016428721,0.00020538,0.00053317676,0.004850558],"category_scores_gemma":[0.018525293,0.00013051878,0.00022925434,0.001270381,0.00029699501,0.0008293102,0.0004684339,0.00060533703,0.00055658014],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012207769,0.00042156182,0.81253415,0.00044162362,0.0005426891,0.00036862478,0.00082106947,0.008715302,0.004790825,0.025326187,0.00783406,0.13698305],"study_design_scores_gemma":[0.000029979004,0.00015262945,0.9729239,0.00008346791,0.00022276436,0.00009815003,0.00023115719,0.007126787,0.00089156954,0.013868969,0.0043375036,0.00003321324],"about_ca_topic_score_codex":0.001481956,"about_ca_topic_score_gemma":0.0010387092,"teacher_disagreement_score":0.004850558,"about_ca_system_score_codex":0.00049331854,"about_ca_system_score_gemma":0.00017393577,"threshold_uncertainty_score":0.016226768},"labels":[],"label_agreement":null},{"id":"W4213423778","doi":"10.3390/jrfm15030098","title":"Mean–Variance Portfolio Efficiency under Leverage Aversion and Trading Impact","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Portfolio; Efficient frontier; Econometrics; Portfolio optimization; Ex-ante; Economics; Computer science; Microeconomics; Financial economics","score_opus":0.01522739197744778,"score_gpt":0.20527149702327852,"score_spread":0.19004410504583075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213423778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27075756,0.0010041092,0.7181139,0.00094784284,0.000032650452,0.000047232905,0.00012207782,0.0001703879,0.008804259],"genre_scores_gemma":[0.9885599,0.00028483188,0.009077995,0.00005411015,0.000030798565,0.000030889547,0.000045228364,0.000023976041,0.0018921872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99888724,0.00042896502,0.000055581804,0.00017870747,0.00023071613,0.000218669],"domain_scores_gemma":[0.99502414,0.0031565211,0.0010674371,0.00035578304,0.00022865162,0.0001673799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034533087,0.000982591,0.0014641728,0.0006420546,0.00029309493,0.0020602292,0.0009310858,0.0011351672,0.001324162],"category_scores_gemma":[0.014014956,0.0006176323,0.0007635367,0.0006552896,0.0011198582,0.00250104,0.0015082081,0.0015115588,0.0001731009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008776791,0.00006506595,0.0021200068,0.00006447716,0.00007658459,0.00021788267,0.000043878663,0.9040074,0.0021176448,0.07954687,0.0005618456,0.011090635],"study_design_scores_gemma":[0.000017730481,0.000054853568,0.0009065651,0.000017484499,0.000014413252,0.000058487065,0.000013316585,0.9437712,0.00047778545,0.05447127,0.00018489527,0.000012099061],"about_ca_topic_score_codex":0.0016267363,"about_ca_topic_score_gemma":0.0007809834,"teacher_disagreement_score":0.0034533087,"about_ca_system_score_codex":0.000989018,"about_ca_system_score_gemma":0.0010104338,"threshold_uncertainty_score":0.018263102},"labels":[],"label_agreement":null},{"id":"W4213457151","doi":"10.3390/jrfm15030097","title":"Information Jumps, Liquidity Jumps, and Market Efficiency","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Semimartingale; Market liquidity; Measure (data warehouse); Econometrics; Arbitrage; Efficient-market hypothesis; Market efficiency; Economics; Market microstructure; Financial economics; Quality (philosophy); Tick size; Microeconomics; Mathematics; Computer science; Monetary economics; Order (exchange); Finance; Data mining; Applied mathematics; Geography; Physics","score_opus":0.008838729979892237,"score_gpt":0.18031158905368727,"score_spread":0.17147285907379503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213457151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6559483,0.0017148645,0.33455,0.0014302441,0.000051096795,0.000092561415,0.0019897216,0.0003186206,0.003904661],"genre_scores_gemma":[0.9878128,0.00027774603,0.010261405,0.00007132502,0.000083789164,0.000034756566,0.00077253644,0.000027388038,0.0006582931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99844295,0.00046658216,0.00015990867,0.00036202453,0.00036053229,0.00020791224],"domain_scores_gemma":[0.9720624,0.016936421,0.006733294,0.00225284,0.0011871395,0.00082790846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050151334,0.00043104228,0.0010197175,0.0027017724,0.0003736168,0.002866158,0.0011227749,0.0015180187,0.0019119604],"category_scores_gemma":[0.03373147,0.00033754134,0.0007167253,0.0022721393,0.001993884,0.005327693,0.0014690729,0.0012786253,0.0002023209],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057762297,0.00042033286,0.12968442,0.00043608196,0.0006085222,0.0006445467,0.0005710394,0.47284144,0.007974873,0.32266486,0.004129432,0.059446786],"study_design_scores_gemma":[0.00006135867,0.00022480014,0.04564669,0.00006355193,0.000064719105,0.0002208949,0.00008005717,0.75543326,0.0018030249,0.19526626,0.0010605989,0.00007474869],"about_ca_topic_score_codex":0.0013590875,"about_ca_topic_score_gemma":0.0011095728,"teacher_disagreement_score":0.0050151334,"about_ca_system_score_codex":0.0010948412,"about_ca_system_score_gemma":0.00075336074,"threshold_uncertainty_score":0.026522875},"labels":[],"label_agreement":null},{"id":"W4214541777","doi":"10.5539/ijef.v14n3p100","title":"The Stock Price Performance and Return Style of the Pan-Infrastructure Reits Corporation: Evidence from U.S. and Japan Market","year":2022,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Portfolio; Financial economics; Stock market; Business; Economics; Monetary economics; Finance; Real estate","score_opus":0.01844966216164703,"score_gpt":0.2007317229468466,"score_spread":0.18228206078519957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214541777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975714,0.0004375847,0.00009440942,0.00010463164,0.000006648822,0.000004215228,0.00025593725,0.0000071242935,0.0015180256],"genre_scores_gemma":[0.99868494,0.0002840493,0.000041442738,0.000027523796,0.000023938415,0.000001457245,0.0004897155,0.0000029030762,0.00044389564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979454,0.000020286829,0.000023697607,0.000043518867,0.000076291355,0.00004164767],"domain_scores_gemma":[0.9978756,0.00020949733,0.0011406783,0.000116610725,0.00044373516,0.00021400797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045786708,0.0002482805,0.0002295415,0.0010468265,0.00026175397,0.0011931447,0.00025606525,0.00038200885,0.001402827],"category_scores_gemma":[0.0018364709,0.00010292079,0.00028528585,0.0011900114,0.0003801347,0.0013615555,0.00048701128,0.00047712948,0.00039159018],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034952303,0.00013601844,0.9724344,0.00008905891,0.00016754506,0.0012241981,0.0008788869,0.0009942172,0.0025137488,0.0016408905,0.002996344,0.016575087],"study_design_scores_gemma":[0.000013249385,0.00010548327,0.99186456,0.000014219071,0.00008014457,0.00018745734,0.0008813037,0.0036326991,0.0008204894,0.00022187774,0.002155092,0.00002330468],"about_ca_topic_score_codex":0.01222315,"about_ca_topic_score_gemma":0.012358156,"teacher_disagreement_score":0.01222315,"about_ca_system_score_codex":0.00040220178,"about_ca_system_score_gemma":0.00020330053,"threshold_uncertainty_score":0.024304032},"labels":[],"label_agreement":null},{"id":"W4214562182","doi":"10.1007/s10479-022-04578-7","title":"Unlocking the black box: Non-parametric option pricing before and during COVID-19","year":2022,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Moneyness; Valuation of options; Economics; Financial economics; Coronavirus disease 2019 (COVID-19); Black–Scholes model; Crash; Econometrics; Volatility (finance); Actuarial science; Computer science","score_opus":0.18380669859702733,"score_gpt":0.37908392859374174,"score_spread":0.1952772299967144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214562182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08830069,0.0012398919,0.88911724,0.0031349151,0.0006161915,0.00007053061,0.00010466213,0.0010041717,0.01641168],"genre_scores_gemma":[0.8390744,0.0005225049,0.14689057,0.0006180909,0.00031535473,0.00010301063,0.00017497117,0.00080062845,0.011500536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950616,0.0027340923,0.00016250508,0.00052605645,0.0008909577,0.00062478223],"domain_scores_gemma":[0.9740612,0.019017436,0.0010972173,0.0034765347,0.0014471071,0.0009006697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012001972,0.0008867748,0.0018537871,0.0006629488,0.0014992852,0.005406072,0.002068029,0.0029200506,0.011996099],"category_scores_gemma":[0.053817756,0.0011211524,0.0008034131,0.0008189381,0.0030839972,0.015950026,0.0051707523,0.008539953,0.0012192699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010404018,0.00031704386,0.0027791301,0.00012960195,0.00008163072,0.00046476178,0.0008512219,0.07295477,0.0028943873,0.7482661,0.0072246706,0.16299625],"study_design_scores_gemma":[0.000033304776,0.00008695319,0.00056933163,0.00007163961,0.00001692404,0.00006240597,0.000108800064,0.6475595,0.0014424683,0.3462261,0.0037728173,0.000049702874],"about_ca_topic_score_codex":0.0024067664,"about_ca_topic_score_gemma":0.0023775513,"teacher_disagreement_score":0.012001972,"about_ca_system_score_codex":0.0010590233,"about_ca_system_score_gemma":0.0024555356,"threshold_uncertainty_score":0.063473284},"labels":[],"label_agreement":null},{"id":"W4214654247","doi":"10.1016/j.frl.2022.102777","title":"Does Bitcoin futures trading reduce the normal and jump volatility in the spot market? Evidence from GARCH-jump models","year":2022,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China; Humanities and Social Science Fund of Ministry of Education of China; China Scholarship Council","keywords":"Jump; Volatility (finance); Futures contract; Economics; Autoregressive conditional heteroskedasticity; Financial economics; Econometrics; Futures market; Monetary economics","score_opus":0.10721395499049331,"score_gpt":0.28901090038559785,"score_spread":0.18179694539510455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214654247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990973,0.0005966621,0.0008375627,0.0013714547,0.000040483774,0.0000039254815,0.00009377198,0.000039855106,0.0060432153],"genre_scores_gemma":[0.99880004,0.00023291037,0.00010415055,0.000092200324,0.000035466714,0.0000012746525,0.00006628393,0.000008800229,0.00065888895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995523,0.00013641088,0.00002881778,0.00006182936,0.00014256065,0.00007812588],"domain_scores_gemma":[0.99136657,0.0053577046,0.0016146551,0.0008318606,0.00044631743,0.00038283927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014608484,0.00034171712,0.00043120506,0.00040082177,0.0003017848,0.0013204287,0.00053480704,0.0011197333,0.004994397],"category_scores_gemma":[0.01013907,0.00017966394,0.0003956455,0.0003381011,0.0007025131,0.0018880625,0.0004635407,0.0009035518,0.0005751048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03362293,0.004790007,0.46844524,0.00081766135,0.0021713683,0.0015688883,0.0012593382,0.05187844,0.05956578,0.0848557,0.010952295,0.2800724],"study_design_scores_gemma":[0.0014411196,0.002965339,0.7023722,0.00010469665,0.0014311523,0.0006929499,0.0011855491,0.12628433,0.019732254,0.13383095,0.009810361,0.00014912145],"about_ca_topic_score_codex":0.002618336,"about_ca_topic_score_gemma":0.0016596523,"teacher_disagreement_score":0.004994397,"about_ca_system_score_codex":0.00030455,"about_ca_system_score_gemma":0.0002772485,"threshold_uncertainty_score":0.016707897},"labels":[],"label_agreement":null},{"id":"W4214747594","doi":"10.5430/afr.v11n1p24","title":"Style Drift and Alphas: A Case Study in International Retail Funds","year":2022,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Sample (material); Market timing; Business; Basis point; Style analysis; Institutional investor; Stock (firearms); Fund of funds; Economics; Monetary economics; Financial economics; Finance; Econometrics; Portfolio; Bond; Asset allocation; Political science; Geography","score_opus":0.09734122877085498,"score_gpt":0.3211697620035901,"score_spread":0.2238285332327351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214747594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99938786,0.00006226282,0.00010777315,0.000020517595,0.0000011799484,0.0000033588963,0.000027458824,0.0000021994317,0.0003874701],"genre_scores_gemma":[0.999537,0.00004996366,0.00018930846,0.000008290802,0.000006841057,0.000002375928,0.000049573613,0.000001807745,0.00015484082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890816,0.000341846,0.00013517287,0.0001261041,0.0003514701,0.00013721277],"domain_scores_gemma":[0.9878791,0.004903523,0.00458968,0.00086159154,0.0011561514,0.00061010895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024059159,0.00020979685,0.00028157033,0.0027310343,0.0006042732,0.0010605095,0.00030849862,0.0003941228,0.00060546456],"category_scores_gemma":[0.015353349,0.000093762086,0.00022122584,0.0023763878,0.00068334705,0.0007429506,0.00081627164,0.00038194293,0.00012048351],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021630536,0.000066433444,0.97308016,0.000012981058,0.000027971193,0.0007962368,0.004028057,0.00067821884,0.00037760285,0.000688386,0.00029191107,0.019735757],"study_design_scores_gemma":[0.00001329185,0.00019944669,0.9842353,0.000026843209,0.000026813685,0.002283189,0.005563475,0.003604181,0.0009854904,0.0012133906,0.0018200512,0.000028612652],"about_ca_topic_score_codex":0.0029036326,"about_ca_topic_score_gemma":0.004052861,"teacher_disagreement_score":0.0029036326,"about_ca_system_score_codex":0.000711804,"about_ca_system_score_gemma":0.00023261496,"threshold_uncertainty_score":0.0127238035},"labels":[],"label_agreement":null},{"id":"W4214813713","doi":"10.3390/risks10030057","title":"The Effect of COVID-19 on the Relationship between Idiosyncratic Volatility and Expected Stock Returns","year":2022,"lang":"en","type":"article","venue":"Risks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Volatility (finance); Coronavirus disease 2019 (COVID-19); Economics; Stock (firearms); Portfolio; Econometrics; Pandemic; Financial economics; 2019-20 coronavirus outbreak; Skewness; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Predictability; Stock market; Monetary economics; Internal medicine; Statistics","score_opus":0.11856301887061062,"score_gpt":0.2964787410656053,"score_spread":0.17791572219499469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214813713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974185,0.00028208471,0.00032747875,0.00021768277,0.000013434735,0.000005329265,0.0001416224,0.000008883748,0.0015849738],"genre_scores_gemma":[0.99957114,0.00007314803,0.00005986091,0.000031320684,0.000012351383,0.0000015591984,0.000106561776,0.0000020566586,0.00014197055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915373,0.00028749576,0.000071808645,0.00013939878,0.00013301677,0.00021453052],"domain_scores_gemma":[0.98483604,0.0084618805,0.004474177,0.0008689302,0.00050288957,0.0008561165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015531775,0.00026079715,0.0003189949,0.00039093112,0.00017026662,0.0010125528,0.00027550122,0.00051255606,0.0017246224],"category_scores_gemma":[0.011962788,0.00014505383,0.0004497973,0.0004229663,0.00044361348,0.00069450994,0.0007308331,0.0011472775,0.00023243295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000332987,0.00012851818,0.9839522,0.000020223039,0.00017724028,0.00036525965,0.000092469,0.0033464707,0.0019599283,0.0008201708,0.00021495197,0.008589553],"study_design_scores_gemma":[0.000007908425,0.00027480756,0.9922043,0.0000093838225,0.00006285373,0.00023850048,0.00014646942,0.005078636,0.00089208613,0.0007079331,0.00036227354,0.000014909862],"about_ca_topic_score_codex":0.002451894,"about_ca_topic_score_gemma":0.001964135,"teacher_disagreement_score":0.002451894,"about_ca_system_score_codex":0.00040343654,"about_ca_system_score_gemma":0.00034522507,"threshold_uncertainty_score":0.008214116},"labels":[],"label_agreement":null},{"id":"W4214842726","doi":"10.55365/1923.x2020.18.18","title":"Detecting the Use of Undisclosed Privileged Information","year":2020,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Exploit; Ask price; Profit (economics); Sample (material); Business; Task (project management); Information leakage; Index (typography); Bid price; Security market; Economics; Financial economics; Microeconomics; Econometrics; Actuarial science; Computer science; Computer security; Finance","score_opus":0.06905884163785189,"score_gpt":0.20871144190842433,"score_spread":0.13965260027057244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214842726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94030714,0.003870567,0.03234532,0.0015330442,0.00010801955,0.00019111832,0.0021036966,0.00017455689,0.019366425],"genre_scores_gemma":[0.9946662,0.0005423746,0.0029882942,0.00017304257,0.000054117023,0.000036991958,0.00045873606,0.000011838458,0.0010684147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98818344,0.0034735866,0.0012585609,0.0013716014,0.0048734643,0.0008393736],"domain_scores_gemma":[0.8456609,0.0653739,0.060860556,0.01620752,0.009928719,0.0019683074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011149926,0.0002477539,0.00043106958,0.0027077429,0.00051421253,0.0019313039,0.0009126641,0.0011169077,0.0026699023],"category_scores_gemma":[0.07740785,0.0002756912,0.0003696918,0.0016769032,0.001078753,0.0028334914,0.0013473006,0.0014780746,0.0008045795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040294343,0.00027672513,0.84783393,0.0004198877,0.000196299,0.00076556107,0.0015968914,0.0027441117,0.0048104636,0.020498984,0.0048380774,0.11561601],"study_design_scores_gemma":[0.000055339977,0.00074633554,0.8304134,0.0010255672,0.0003113218,0.0044432334,0.0021254008,0.031206513,0.03882645,0.041729845,0.048905503,0.00021112278],"about_ca_topic_score_codex":0.0016324344,"about_ca_topic_score_gemma":0.0015967132,"teacher_disagreement_score":0.011149926,"about_ca_system_score_codex":0.00059735216,"about_ca_system_score_gemma":0.001049897,"threshold_uncertainty_score":0.058967173},"labels":[],"label_agreement":null},{"id":"W4220656794","doi":"10.1057/s41260-022-00261-5","title":"Puzzle solved? A comprehensive analysis of hedge fund-like mutual funds according to the value-added paradigm","year":2022,"lang":"en","type":"article","venue":"Journal of Asset Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Hedge fund; Value (mathematics); Open-end fund; Fund of funds; Closed-end fund; Investment management; Alternative beta; Index fund; Business; Control (management); Economics; Mutual fund; Alternative investment; Asset allocation; Passive management; Global assets under management; Financial economics; Finance; Institutional investor; Market liquidity; Corporate governance; Portfolio; Computer science","score_opus":0.059586542007731814,"score_gpt":0.2578382508760147,"score_spread":0.1982517088682829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220656794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7624794,0.012831774,0.091704726,0.021493563,0.00028084376,0.00012989594,0.0003799044,0.00014358643,0.11055623],"genre_scores_gemma":[0.9856719,0.0021652128,0.0039480655,0.00027930117,0.0003372513,0.00003359174,0.00006942015,0.000024857996,0.0074703437],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99952865,0.00015338435,0.000026119229,0.000059427963,0.0001290322,0.000103398466],"domain_scores_gemma":[0.9982869,0.00068707037,0.00042912381,0.00020969384,0.00020119344,0.00018600326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018428734,0.0005548735,0.0013510726,0.0014743942,0.0011737115,0.0037253967,0.0014020957,0.0024377725,0.004341784],"category_scores_gemma":[0.007108544,0.00035709317,0.0009980943,0.0011320362,0.0026698643,0.008848869,0.0019328928,0.0020605293,0.00026109422],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029987455,0.000024211322,0.0011935399,0.00003406993,0.000031823725,0.00014874038,0.00011035709,0.0065790988,0.000181766,0.98463225,0.0012280314,0.0058061667],"study_design_scores_gemma":[0.00003078324,0.000031292737,0.0013983145,0.000038770642,0.000036017995,0.0001500478,0.00017081125,0.0420118,0.00013868566,0.95283467,0.0031425254,0.000016322403],"about_ca_topic_score_codex":0.0019206408,"about_ca_topic_score_gemma":0.0017592475,"teacher_disagreement_score":0.004341784,"about_ca_system_score_codex":0.0010012072,"about_ca_system_score_gemma":0.0015833994,"threshold_uncertainty_score":0.014524698},"labels":[],"label_agreement":null},{"id":"W4220670843","doi":"10.3390/jrfm15020053","title":"Net Buying Pressure and Informed Trading in the Options Market: Evidence from Earnings Announcements","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Volatility (finance); Trading strategy; Exploit; Private information retrieval; Business; Implied volatility; Moneyness; Financial economics; Economics; Monetary economics; Finance","score_opus":0.024818180578282004,"score_gpt":0.21747725297870507,"score_spread":0.19265907240042307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220670843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99731916,0.00019765964,0.00022115117,0.00014136557,0.0000066673115,0.000006855888,0.000082053026,0.0000064248916,0.0020186997],"genre_scores_gemma":[0.99934834,0.00016322071,0.00012929775,0.00002476879,0.00002665969,0.0000028439877,0.00009585145,0.0000021313854,0.00020675856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950063,0.00014720736,0.00005802533,0.000050072602,0.00018855996,0.00005541644],"domain_scores_gemma":[0.9675211,0.017228626,0.012291004,0.0011773981,0.0008174205,0.00096449454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014924186,0.00024244863,0.0003016056,0.00081071135,0.00028841748,0.0014661185,0.0003307923,0.0008251825,0.0035105639],"category_scores_gemma":[0.0176755,0.00022121951,0.00019201593,0.0008899465,0.00065734755,0.0015252525,0.0006299897,0.00093014416,0.00043322658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003284847,0.0014732792,0.9203011,0.00019900445,0.00034314865,0.0014778287,0.0017088611,0.0022189026,0.008941939,0.0050051883,0.0008014856,0.054244425],"study_design_scores_gemma":[0.00007877287,0.0004604398,0.98883075,0.000028510927,0.00007725118,0.00039331368,0.00060236076,0.0038311007,0.0012827202,0.0034025107,0.0009718291,0.00004061474],"about_ca_topic_score_codex":0.0011749056,"about_ca_topic_score_gemma":0.001205112,"teacher_disagreement_score":0.0035105639,"about_ca_system_score_codex":0.00015629383,"about_ca_system_score_gemma":0.00014667374,"threshold_uncertainty_score":0.011744022},"labels":[],"label_agreement":null},{"id":"W4220684759","doi":"10.3390/jrfm15040154","title":"The MAX Effect in an Oil Exporting Country: The Case of Norway","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Norwegian; Equity (law); Economics; Lottery; Stock (firearms); Stock market; Proxy (statistics); Preference; Financial economics; Dominance (genetics); Monetary economics; Geography","score_opus":0.009748763658960055,"score_gpt":0.20502283167770785,"score_spread":0.1952740680187478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220684759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99702805,0.0003682694,0.00014109428,0.00014699467,0.000008843877,0.0000028778481,0.0001234098,0.0000039248093,0.0021767674],"genre_scores_gemma":[0.999038,0.00020555047,0.00004940688,0.000016316682,0.0000065645672,0.000001624203,0.00011157259,0.0000026481068,0.00056826504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997454,0.00007420483,0.000014921062,0.000042682772,0.00002776261,0.00009499282],"domain_scores_gemma":[0.9971378,0.0015266044,0.0008274965,0.000119030745,0.00014269123,0.00024652056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011832094,0.00023310362,0.00045702522,0.00051843736,0.00041770664,0.0011298083,0.00032578662,0.0003445021,0.0022626056],"category_scores_gemma":[0.0029146604,0.000098066106,0.0005811955,0.0005180424,0.0008124599,0.0008059676,0.00078319054,0.0005795468,0.0001604289],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012468215,0.0002629426,0.93908113,0.00013402796,0.00028013194,0.0073229503,0.0015407463,0.017263602,0.0015098522,0.014470798,0.002203607,0.014683417],"study_design_scores_gemma":[0.00009067855,0.00025928294,0.9713419,0.00009237721,0.00023575943,0.0006077446,0.0054072184,0.013823962,0.0010299995,0.0032747383,0.003773682,0.00006272171],"about_ca_topic_score_codex":0.15950654,"about_ca_topic_score_gemma":0.12732919,"teacher_disagreement_score":0.15950654,"about_ca_system_score_codex":0.001043994,"about_ca_system_score_gemma":0.0007220123,"threshold_uncertainty_score":0.31715626},"labels":[],"label_agreement":null},{"id":"W4220688313","doi":"10.1515/zug-2022-0014","title":"Trading costs and trading quantity at the Berlin Stock Exchange, 1892–1913","year":2022,"lang":"en","type":"article","venue":"Zeitschrift für Unternehmensgeschichte","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Market liquidity; Stock exchange; Algorithmic trading; Alternative trading system; Stock trading; Inventory turnover; Stock (firearms); Business; Flash trading; Dark liquidity; Market maker; Monetary economics; Economics; Stock market; Financial economics; Finance","score_opus":0.035780203125784824,"score_gpt":0.2463275566944275,"score_spread":0.21054735356864268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220688313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987023,0.0004567583,0.0003661629,0.00012690265,0.000022486976,0.000009424019,0.008513831,0.000024594961,0.0034568203],"genre_scores_gemma":[0.9895188,0.00021154208,0.00025894342,0.000013970261,0.00005334541,0.000015891126,0.008900612,0.000010771728,0.001016127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996288,0.000048112324,0.000049943286,0.000058915295,0.00015878878,0.00005536591],"domain_scores_gemma":[0.99678516,0.0008034351,0.0016591977,0.00013901595,0.00037036854,0.0002428077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066711387,0.00039261027,0.00027589893,0.0040796665,0.00028245302,0.0010828308,0.00025476387,0.00028400193,0.0036759428],"category_scores_gemma":[0.0034563176,0.00015149181,0.00034838365,0.0036260122,0.00037646038,0.0006790607,0.00046868977,0.00067745603,0.00095341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023319636,0.00007532305,0.97826946,0.00003778087,0.00026456176,0.00014795731,0.00024278712,0.0037341602,0.0005088141,0.001084062,0.003920763,0.011481124],"study_design_scores_gemma":[0.000011706451,0.000023495808,0.99559337,0.000010464553,0.000021914415,0.00009261886,0.00005757657,0.0018125238,0.00028690547,0.00017006857,0.0019055897,0.00001376621],"about_ca_topic_score_codex":0.021146886,"about_ca_topic_score_gemma":0.019962229,"teacher_disagreement_score":0.021146886,"about_ca_system_score_codex":0.000976655,"about_ca_system_score_gemma":0.00020251893,"threshold_uncertainty_score":0.04204762},"labels":[],"label_agreement":null},{"id":"W4220688425","doi":"10.1002/sta4.465","title":"A machine learning approach to classification for traders in financial markets","year":2022,"lang":"en","type":"article","venue":"Stat","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Alfred P. Sloan Foundation","keywords":"Limit (mathematics); Order book; Cluster analysis; Stock exchange; Order (exchange); Aggregate (composite); Computer science; Financial market; Matching (statistics); Stock (firearms); Financial economics; Artificial intelligence; Economics; Finance; Engineering; Mathematics; Statistics","score_opus":0.057599288407184424,"score_gpt":0.22851958392067423,"score_spread":0.1709202955134898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220688425","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052199475,0.0008656393,0.9917041,0.00080979394,0.00010817969,0.00004925056,0.0001150559,0.0001983456,0.0009297841],"genre_scores_gemma":[0.17876121,0.0012477051,0.814305,0.00046956123,0.000813104,0.0004108501,0.0004731743,0.00008537578,0.0034340993],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780434,0.00092147384,0.00019892362,0.00040570222,0.00054836384,0.00012122049],"domain_scores_gemma":[0.9960103,0.0027535679,0.0002614662,0.00043574584,0.00043813998,0.00010080756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036797938,0.0008320247,0.0012026477,0.002406888,0.0009591303,0.002285983,0.0022722117,0.002411988,0.0019051679],"category_scores_gemma":[0.012079297,0.00043120547,0.0012864996,0.0030137743,0.0015789384,0.0038076076,0.0017051575,0.0032468538,0.0007645389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105281935,0.00033961804,0.0060361144,0.00025458387,0.000193757,0.00014709971,0.00043590108,0.23691477,0.0023100656,0.2909433,0.010363403,0.4519561],"study_design_scores_gemma":[0.000011800066,0.000028689079,0.00045231133,0.000019843279,0.000008100946,0.000031455773,0.000026507267,0.83856,0.00025743854,0.15762469,0.0029634163,0.00001579109],"about_ca_topic_score_codex":0.003582894,"about_ca_topic_score_gemma":0.0031882005,"teacher_disagreement_score":0.0036797938,"about_ca_system_score_codex":0.0012142082,"about_ca_system_score_gemma":0.0012334906,"threshold_uncertainty_score":0.019460857},"labels":[],"label_agreement":null},{"id":"W4220719043","doi":"10.3390/jrfm15040149","title":"Non-Parametric Statistic for Testing Cumulative Abnormal Stock Returns","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nonparametric statistics; Econometrics; Parametric statistics; Statistic; Statistical hypothesis testing; Stock (firearms); Test statistic; Statistics; Event study; Robustness (evolution); Rank (graph theory); Mathematics; Computer science; Engineering","score_opus":0.031050048387103995,"score_gpt":0.23156008345689422,"score_spread":0.20051003506979023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220719043","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059048742,0.00089728314,0.9314254,0.00026693987,0.00018090742,0.0003764016,0.001392714,0.0015225777,0.0048890864],"genre_scores_gemma":[0.69468683,0.00051241135,0.2974535,0.0002665148,0.00035998152,0.0012315353,0.002730413,0.00027007796,0.0024887999],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98831636,0.0061693382,0.000736516,0.0011340253,0.0033125165,0.0003312101],"domain_scores_gemma":[0.946829,0.042226087,0.004166119,0.004172417,0.0021499575,0.0004562871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009893335,0.0007097506,0.0011278103,0.003481642,0.00038594825,0.0013059642,0.001906493,0.0011420866,0.0067834104],"category_scores_gemma":[0.056978524,0.00019984838,0.0010040293,0.002413029,0.0011777787,0.0018158356,0.00108282,0.001929246,0.0017371816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017493571,0.00071837544,0.093267865,0.0012979709,0.0014643779,0.0013187297,0.00033838447,0.058192894,0.01825409,0.113545954,0.013311849,0.6965401],"study_design_scores_gemma":[0.00039446232,0.00420758,0.10495365,0.00026581503,0.00045061065,0.004063599,0.00048311916,0.74655974,0.021392046,0.08986457,0.027005529,0.00035929924],"about_ca_topic_score_codex":0.0006064539,"about_ca_topic_score_gemma":0.00051600265,"teacher_disagreement_score":0.009893335,"about_ca_system_score_codex":0.00043205902,"about_ca_system_score_gemma":0.001274458,"threshold_uncertainty_score":0.052321613},"labels":[],"label_agreement":null},{"id":"W4220738993","doi":"10.3390/jrfm15040155","title":"Multifactor Market Indexes","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Econometrics; Sharpe ratio; Capitalization-weighted index; Statistics; Economics; Mathematics; Financial economics; Stock market index; Computer science; Geography; Stock market","score_opus":0.012817724592058878,"score_gpt":0.18825385943846035,"score_spread":0.17543613484640147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220738993","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33764157,0.0039442168,0.5725587,0.0011288086,0.0008377081,0.00064299424,0.0063737044,0.0021694012,0.074702814],"genre_scores_gemma":[0.85406625,0.001051513,0.12876634,0.00018684643,0.00075102114,0.0001772267,0.0033632983,0.0003001328,0.0113372905],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961726,0.00062018464,0.0002582485,0.00043976752,0.0022890135,0.00022015767],"domain_scores_gemma":[0.98715925,0.003956275,0.003129647,0.0016145697,0.0037159119,0.00042431662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004760752,0.001109846,0.0009834886,0.008898317,0.0006230325,0.0034675093,0.0012508967,0.00089110126,0.012105813],"category_scores_gemma":[0.023859413,0.00034540152,0.0010367043,0.0069792983,0.00064509537,0.0061383042,0.0018813645,0.0012648911,0.00213843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057616073,0.00041483887,0.0726795,0.00052746205,0.0006959054,0.0011465735,0.00041159114,0.09043931,0.019164333,0.3297143,0.01863353,0.46559647],"study_design_scores_gemma":[0.00017325823,0.0011551712,0.14251994,0.00022336852,0.00041284732,0.0017579108,0.00047804386,0.46333408,0.016396116,0.27824286,0.09481093,0.00049557985],"about_ca_topic_score_codex":0.0026262165,"about_ca_topic_score_gemma":0.0023513762,"teacher_disagreement_score":0.012105813,"about_ca_system_score_codex":0.0015633606,"about_ca_system_score_gemma":0.001107502,"threshold_uncertainty_score":0.04049802},"labels":[],"label_agreement":null},{"id":"W4220773879","doi":"10.3390/jrfm15040160","title":"Inferences from Portfolio Theory and Efficient Market Hypothesis to the Impact of Social Media on Sovereign Debt: Colombia, Ecuador, and Peru","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Country risk; Economics; Proxy (statistics); Emerging markets; Portfolio; Bond; Credit risk; Debt; Financial economics; Monetary economics; Macroeconomics; Finance","score_opus":0.01371206931793464,"score_gpt":0.2036478866553539,"score_spread":0.18993581733741927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220773879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98902446,0.00041894,0.00064920867,0.0015809273,0.000019396082,0.000027887774,0.00032918967,0.000010151695,0.0079398025],"genre_scores_gemma":[0.9990221,0.00018824587,0.0001237471,0.00006729059,0.000023542303,0.000013438098,0.00022192104,0.0000027425342,0.00033681173],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936885,0.00028420615,0.000041642088,0.00009948052,0.00006981709,0.00013596688],"domain_scores_gemma":[0.9871678,0.008147944,0.0029178364,0.0003918747,0.00079797977,0.00057659997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018559059,0.00032410384,0.00036322043,0.0016260078,0.0005353451,0.0031019198,0.0005260459,0.0007682358,0.007964368],"category_scores_gemma":[0.017140089,0.00014480729,0.00056194776,0.0012287755,0.00079278613,0.0024115958,0.0014604602,0.0011104948,0.0004578029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053373916,0.00042689318,0.96138364,0.00011207151,0.00037593584,0.00077410246,0.002098365,0.0022526465,0.0004385271,0.006602856,0.0016567259,0.023344442],"study_design_scores_gemma":[0.000095837626,0.00020194448,0.9593055,0.00010419568,0.00038543786,0.00018463058,0.012024332,0.016748017,0.0005437614,0.008454577,0.001928802,0.000023072915],"about_ca_topic_score_codex":0.016463118,"about_ca_topic_score_gemma":0.007116157,"teacher_disagreement_score":0.016463118,"about_ca_system_score_codex":0.0005744439,"about_ca_system_score_gemma":0.00036830863,"threshold_uncertainty_score":0.032734632},"labels":[],"label_agreement":null},{"id":"W4220800010","doi":"10.1186/s40854-021-00316-3","title":"Tracking market and non-traditional sources of risks in procyclical and countercyclical hedge fund strategies under extreme scenarios: a nonlinear VAR approach","year":2022,"lang":"en","type":"article","venue":"Financial Innovation","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Wilfrid Laurier University; Université du Québec en Outaouais; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Hedge fund; Economics; Subprime crisis; Robustness (evolution); Hedge; Systematic risk; Financial crisis; Volatility (finance); Financial economics; Monetary economics; Market liquidity; Econometrics; Finance; Macroeconomics","score_opus":0.14793390004501383,"score_gpt":0.2699537647615538,"score_spread":0.12201986471653997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220800010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868994,0.000052986565,0.012131441,0.000088438755,0.0000033974438,0.0000082629995,0.00008377526,0.000025171026,0.00070720003],"genre_scores_gemma":[0.99863017,0.00002696598,0.0010847425,0.000007114539,0.000002612791,0.000004093882,0.00004384681,0.0000027741041,0.00019771497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998492,0.000050127583,0.000009496313,0.00004791558,0.000016418662,0.000026798602],"domain_scores_gemma":[0.99859065,0.00078922417,0.0003723634,0.00007725845,0.00009230257,0.000078207784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010066633,0.0003133487,0.00034801272,0.00081381894,0.00015206536,0.0010209598,0.0004971559,0.00072686805,0.00091213465],"category_scores_gemma":[0.004435405,0.00023336467,0.0005007646,0.00045229992,0.00040806804,0.00095594686,0.0005856064,0.0007186171,0.00008437673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002459693,0.00010616939,0.099525735,0.00004062395,0.0001652376,0.00041396872,0.00025421687,0.86537504,0.0041721673,0.015221479,0.00033887484,0.0141405845],"study_design_scores_gemma":[0.000004617047,0.000021420065,0.009952145,0.0000027239098,0.000010540062,0.00002764433,0.000031791493,0.9871365,0.00027614544,0.0024731406,0.00005410964,0.000009286575],"about_ca_topic_score_codex":0.0046060425,"about_ca_topic_score_gemma":0.002817772,"teacher_disagreement_score":0.0046060425,"about_ca_system_score_codex":0.0004479587,"about_ca_system_score_gemma":0.00024238302,"threshold_uncertainty_score":0.0091584325},"labels":[],"label_agreement":null},{"id":"W4220801931","doi":"10.1111/1911-3846.12777","title":"Do <scp>Firm‐Specific</scp> Stock Price Crashes Lead to a Stimulation or Distortion of Market Information Efficiency?*","year":2022,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Earnings; Event study; Shock (circulatory); Market efficiency; Monetary economics; Business; Stock (firearms); Stock price; Economics; Financial economics; Finance","score_opus":0.09710563228334193,"score_gpt":0.296744122084187,"score_spread":0.19963848980084506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220801931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966408,0.00019738416,0.00054939033,0.00046677317,0.000010955662,0.000018531646,0.0001551495,0.000012934952,0.0019481562],"genre_scores_gemma":[0.9997004,0.000036439214,0.000045086927,0.000034129116,0.000015178669,0.0000021718472,0.00005136097,0.0000013714282,0.000113941685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988667,0.00027417176,0.00013578132,0.00023420493,0.00028333202,0.00020600208],"domain_scores_gemma":[0.95230716,0.015638238,0.026028257,0.0024101664,0.0023139373,0.0013021877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021615257,0.00018623447,0.0004128284,0.0007258011,0.0002454647,0.0014667204,0.0004538982,0.00087922666,0.005254488],"category_scores_gemma":[0.02696783,0.00018948042,0.00041741485,0.00060465606,0.00087397837,0.001212209,0.0007579398,0.000881431,0.00038522942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062089023,0.0002428058,0.97998273,0.00007684566,0.00023306224,0.00035003273,0.00021429725,0.0009998176,0.0019288886,0.001251378,0.00054551655,0.013553695],"study_design_scores_gemma":[0.000014554786,0.00021497915,0.9934761,0.000011086698,0.000072759976,0.00014785308,0.00039898924,0.002368547,0.0015342453,0.0014497904,0.00030134284,0.000009815116],"about_ca_topic_score_codex":0.0026829524,"about_ca_topic_score_gemma":0.0022422534,"teacher_disagreement_score":0.005254488,"about_ca_system_score_codex":0.0004941353,"about_ca_system_score_gemma":0.00042167655,"threshold_uncertainty_score":0.017578006},"labels":[],"label_agreement":null},{"id":"W4220952992","doi":"10.1287/mnsc.2022.4381","title":"Explaining the Failure of the Unconditional CAPM with the Conditional CAPM","year":2022,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital asset pricing model; Economics; Econometrics; Financial economics","score_opus":0.015641957517795905,"score_gpt":0.18407404388668555,"score_spread":0.16843208636888965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220952992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78433836,0.0010402106,0.156131,0.010754374,0.0002868704,0.00011458412,0.001475369,0.0007511286,0.045108106],"genre_scores_gemma":[0.99311125,0.00008981394,0.0051651318,0.00033622075,0.000082584374,0.00003033295,0.00022235098,0.000051465642,0.00091070484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99708027,0.00080272777,0.00020604786,0.0006544167,0.00057280407,0.00068362674],"domain_scores_gemma":[0.9717215,0.016216667,0.0053608967,0.0036495717,0.0019390347,0.0011123943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00831397,0.0008618055,0.0010966758,0.0012511826,0.0007292458,0.0027201043,0.0021967525,0.0021292667,0.010783474],"category_scores_gemma":[0.04672978,0.00040210577,0.0010283045,0.0010943459,0.0021338512,0.003590575,0.0030871446,0.0026458902,0.0010957515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006037174,0.00034210598,0.20446448,0.00044111212,0.00037324388,0.0016462364,0.00092979637,0.08789968,0.0032475747,0.59888905,0.021236738,0.07992621],"study_design_scores_gemma":[0.00009344378,0.00019213953,0.07094559,0.00012143082,0.0001447563,0.0008160356,0.0003893062,0.42313558,0.0019857371,0.49756575,0.004507593,0.00010272152],"about_ca_topic_score_codex":0.0062998286,"about_ca_topic_score_gemma":0.0044830823,"teacher_disagreement_score":0.010783474,"about_ca_system_score_codex":0.001125274,"about_ca_system_score_gemma":0.0014837111,"threshold_uncertainty_score":0.043968976},"labels":[],"label_agreement":null},{"id":"W4220959949","doi":"10.3390/jrfm15030137","title":"Further Tests of the ZCAPM Asset Pricing Model","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Econometrics; Endogeneity; Economics; Factor analysis; Sample (material); Goodness of fit; Financial economics; Asset (computer security); Statistics; Mathematics; Computer science","score_opus":0.015669334007041295,"score_gpt":0.19524421975418765,"score_spread":0.17957488574714636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220959949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74881625,0.0027269763,0.20410804,0.009244762,0.0004280354,0.0002124467,0.0028340858,0.00087084033,0.030758496],"genre_scores_gemma":[0.9759152,0.000516211,0.019289367,0.0005069897,0.00014244943,0.000056945355,0.0011598405,0.000047581805,0.0023653854],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99748355,0.0013504698,0.00010041875,0.00042180112,0.00047547644,0.00016837612],"domain_scores_gemma":[0.9834447,0.011114794,0.0016644764,0.0016666794,0.0016614321,0.00044784034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009519409,0.00065033475,0.0006903174,0.001902513,0.0006348109,0.0021068398,0.0016585222,0.0010391294,0.0064221243],"category_scores_gemma":[0.030575408,0.0002624059,0.0013820331,0.002806677,0.0010101075,0.0032804422,0.0021513288,0.002647451,0.0008673473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067593856,0.00065295864,0.23038176,0.00033507877,0.0016033642,0.00095307524,0.0011324964,0.18252516,0.0017769572,0.25509486,0.022515498,0.30235282],"study_design_scores_gemma":[0.00019140422,0.00058881275,0.11223607,0.00011387675,0.00022600427,0.00034233648,0.0007890683,0.7373678,0.0017768806,0.12706357,0.01916212,0.00014209392],"about_ca_topic_score_codex":0.009612234,"about_ca_topic_score_gemma":0.0032160592,"teacher_disagreement_score":0.009612234,"about_ca_system_score_codex":0.00124704,"about_ca_system_score_gemma":0.0015089192,"threshold_uncertainty_score":0.05034405},"labels":[],"label_agreement":null},{"id":"W4220999313","doi":"10.1017/s0022109022000199","title":"Speed and Expertise in Stock Picking: Older, Slower, and Wiser?","year":2022,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Stock (firearms); Portfolio; Variation (astronomy); Trait; Business; Value (mathematics); Investment style; Investment decisions; Actuarial science; Financial economics; Economics; Finance; Computer science; Microeconomics; Behavioral economics; Engineering; Return on investment","score_opus":0.04081866819296257,"score_gpt":0.259212346356105,"score_spread":0.21839367816314245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220999313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99597186,0.0006283812,0.00045027217,0.00054655556,0.000029801713,0.000008478039,0.00010028417,0.000010575863,0.0022538141],"genre_scores_gemma":[0.99874264,0.00017041968,0.00032233685,0.00008587704,0.000064869404,0.0000030622373,0.00007742505,0.000008737474,0.0005245217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985133,0.00043139118,0.00018977618,0.00035200876,0.00037173563,0.00014185306],"domain_scores_gemma":[0.8804781,0.06527158,0.03632625,0.00527305,0.0052224835,0.007428615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005285747,0.00023449105,0.00035811713,0.0017380575,0.00037254285,0.0022438169,0.00042809293,0.0012564487,0.0048156655],"category_scores_gemma":[0.076470315,0.00026835056,0.00030591653,0.0009791505,0.0007436451,0.0018146494,0.0005727351,0.0010807815,0.00080150366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038936135,0.00014850347,0.97832024,0.000032413856,0.00013755089,0.00012681368,0.0011282403,0.0005099744,0.00078079297,0.00028184179,0.0005387975,0.017605472],"study_design_scores_gemma":[0.00002484516,0.0001621912,0.9930762,0.000026782498,0.000061067905,0.0003813808,0.0010187279,0.002149706,0.00033888378,0.0018267632,0.0009002261,0.00003328387],"about_ca_topic_score_codex":0.0032227386,"about_ca_topic_score_gemma":0.0035437813,"teacher_disagreement_score":0.005285747,"about_ca_system_score_codex":0.0003289281,"about_ca_system_score_gemma":0.00028958987,"threshold_uncertainty_score":0.027953982},"labels":[],"label_agreement":null},{"id":"W4221005756","doi":"10.1108/ijmf-04-2021-0209","title":"Options trading prior to takeover rumors","year":2022,"lang":"en","type":"article","venue":"International Journal of Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université du Québec à Montréal","funders":"","keywords":"Rumor; Equity (law); Predictability; Sample (material); Business; Financial economics; Profitability index; Econometrics; Economics; Actuarial science; Finance; Statistics","score_opus":0.027079748491590047,"score_gpt":0.23490838361966102,"score_spread":0.20782863512807098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221005756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99775773,0.00015173457,0.00066639745,0.0000612415,0.000006233202,0.000010372727,0.00011352457,0.00001574778,0.0012170916],"genre_scores_gemma":[0.9992829,0.000044911878,0.00018838824,0.000012707822,0.000013913966,0.0000027230494,0.000117651114,0.0000017756199,0.0003351383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994655,0.00010712742,0.000077520046,0.00007439617,0.00016889824,0.00010646642],"domain_scores_gemma":[0.97756463,0.006405546,0.012675472,0.0014546753,0.0011390351,0.0007606849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011603428,0.00024084531,0.00028693723,0.0008232147,0.00028275858,0.0015914162,0.00037084377,0.0004264369,0.0021798187],"category_scores_gemma":[0.01334048,0.00015122654,0.00033777326,0.00048144063,0.0003260389,0.0015806652,0.0005710328,0.000676233,0.00034899314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050836254,0.00019105742,0.98034245,0.000030089599,0.0000748198,0.00028683685,0.00031697785,0.001003961,0.0014613466,0.00045768105,0.00012809726,0.015198333],"study_design_scores_gemma":[0.0000085225665,0.0003045534,0.991093,0.000023017932,0.000036812766,0.00032325747,0.00050107844,0.0043444266,0.0018627171,0.0010506636,0.00043548943,0.00001652097],"about_ca_topic_score_codex":0.0017464203,"about_ca_topic_score_gemma":0.0021121537,"teacher_disagreement_score":0.0021798187,"about_ca_system_score_codex":0.000330347,"about_ca_system_score_gemma":0.0002288394,"threshold_uncertainty_score":0.0072922707},"labels":[],"label_agreement":null},{"id":"W4221029479","doi":"10.3390/jrfm15020054","title":"High-Frequency Trading (HFT) and Market Quality Research: An Evaluation of the Alternative HFT Proxies","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"High-frequency trading; Market liquidity; Proxy (statistics); Price discovery; Order (exchange); Soundness; Quality (philosophy); Financial economics; Economics; Business; Monetary economics; Computer science; Finance","score_opus":0.11258307650927198,"score_gpt":0.310378991853102,"score_spread":0.19779591534383006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221029479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718441,0.0052517992,0.010407131,0.0009840329,0.0000815453,0.00008012519,0.007002186,0.00015292576,0.0041961963],"genre_scores_gemma":[0.9888144,0.00035318758,0.003955627,0.00009431498,0.00015674831,0.000035040946,0.0062497994,0.000020944888,0.0003199209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9938199,0.0023170388,0.0007990666,0.0011801536,0.0014728914,0.0004110384],"domain_scores_gemma":[0.92038554,0.04316488,0.02338068,0.0064631836,0.0046404735,0.0019653696],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.011942111,0.00044862577,0.00070396945,0.0065574674,0.00042105137,0.0036326493,0.0008555065,0.001051099,0.0018103136],"category_scores_gemma":[0.045588974,0.00014376825,0.00084906886,0.0061438894,0.0008675883,0.0024413036,0.0019648026,0.0008160586,0.00042267708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023029986,0.00008993052,0.9666126,0.00021575496,0.00058928714,0.00007490031,0.00020239523,0.00203854,0.0003894471,0.0015627479,0.0013373132,0.026656833],"study_design_scores_gemma":[0.000054870336,0.0003279823,0.96092576,0.00018670625,0.0003187316,0.0002537268,0.00073382974,0.026378434,0.001173128,0.0041271015,0.005468298,0.00005137081],"about_ca_topic_score_codex":0.0024643466,"about_ca_topic_score_gemma":0.0030876466,"teacher_disagreement_score":0.9880579,"about_ca_system_score_codex":0.0004894422,"about_ca_system_score_gemma":0.00047435774,"threshold_uncertainty_score":0.063156664},"labels":[],"label_agreement":null},{"id":"W4221034155","doi":"10.1111/fire.12298","title":"Fund names versus family names: Implications for mutual fund flows","year":2022,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; York University","funders":"","keywords":"Mutual fund; Closed-end fund; Equity (law); Business; Open-end fund; Sample (material); Target date fund; Economics; Finance; Actuarial science; Institutional investor; Political science; Law","score_opus":0.1580558205596766,"score_gpt":0.30500833804443034,"score_spread":0.14695251748475374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221034155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98445684,0.0029258379,0.0008987817,0.0039342437,0.00007267919,0.000021555737,0.0005374571,0.000009714126,0.0071428865],"genre_scores_gemma":[0.9987085,0.000319093,0.000107058935,0.000115414165,0.00009108192,0.000005991798,0.00008380343,0.000002488656,0.0005666021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946307,0.0029103674,0.00041422786,0.0006208026,0.0010341061,0.0003897139],"domain_scores_gemma":[0.887486,0.059948776,0.04439004,0.0019776763,0.003107129,0.003090361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009637192,0.00016273161,0.0004817163,0.0019058255,0.00060747494,0.0022507752,0.00039595473,0.00080899935,0.006083378],"category_scores_gemma":[0.0799547,0.00008047216,0.0003864508,0.0026307544,0.001093843,0.002636364,0.0012742201,0.00070925895,0.0003922289],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007633442,0.000101671154,0.95152473,0.00014717276,0.00022592275,0.00029382398,0.0021811512,0.0010146116,0.00030730883,0.008877232,0.002634085,0.031928856],"study_design_scores_gemma":[0.000043474596,0.00016040252,0.9775949,0.00014207324,0.00023370143,0.00021059514,0.003311606,0.0024348674,0.00048184654,0.009519727,0.005837396,0.000029407269],"about_ca_topic_score_codex":0.005163487,"about_ca_topic_score_gemma":0.004163869,"teacher_disagreement_score":0.009637192,"about_ca_system_score_codex":0.001032838,"about_ca_system_score_gemma":0.0005082449,"threshold_uncertainty_score":0.050966978},"labels":[],"label_agreement":null},{"id":"W4221041992","doi":"10.1016/j.frl.2022.102799","title":"Voluntary disclosure of pandemic exposure and stock price crash risk","year":2022,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University; McMaster University","funders":"","keywords":"Pandemic; Stock price; Earnings; Stock (firearms); Crash; Business; Monetary economics; Stock market crash; Shock (circulatory); Economics; Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Voluntary disclosure; Financial economics; Stock market; Finance; Medicine","score_opus":0.05251533496549371,"score_gpt":0.266155583223884,"score_spread":0.2136402482583903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221041992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98863924,0.0005279778,0.00056237855,0.0044545433,0.00014372656,0.000014605321,0.00054679456,0.000022461547,0.005088277],"genre_scores_gemma":[0.9992336,0.00008243727,0.00004530465,0.00011930392,0.000051976127,0.0000028110676,0.00010537564,0.0000011167822,0.00035809135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830014,0.0008241388,0.00020154292,0.00010578071,0.00029700703,0.00027136164],"domain_scores_gemma":[0.9296517,0.032676976,0.028248226,0.0049854144,0.0026432956,0.0017944033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035121457,0.00010259596,0.00016836899,0.0005395372,0.00027582925,0.0014015784,0.00029380474,0.0014882018,0.0032527712],"category_scores_gemma":[0.052570593,0.00016782276,0.00021956199,0.00051923183,0.0003323976,0.0009440221,0.00079393486,0.0014362725,0.00032717732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018975273,0.00042835902,0.9392552,0.00009222739,0.00023965098,0.0004588794,0.00087167625,0.0016355602,0.0008874866,0.0049733995,0.006273628,0.04298643],"study_design_scores_gemma":[0.00006644431,0.00063937757,0.97212976,0.00013120439,0.00010602036,0.0013005907,0.0014582577,0.009484137,0.0014769274,0.008940275,0.0042262897,0.00004073879],"about_ca_topic_score_codex":0.0014742196,"about_ca_topic_score_gemma":0.0014928259,"teacher_disagreement_score":0.0035121457,"about_ca_system_score_codex":0.00038732286,"about_ca_system_score_gemma":0.00049441966,"threshold_uncertainty_score":0.018574238},"labels":[],"label_agreement":null},{"id":"W4221140972","doi":"","title":"Are Indices Good Estimators for the Stock Investors? Analysis of the Relationship Between BDI, VIX and GEPU Indices and Stock Exchanges: A Research on Stock Exchanges of Some Selected Developed Countries","year":2022,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Stock exchange; Estimator; Econometrics; Financial economics; Economics; Stock market index; Business; Statistics; Mathematics; Stock market; Geography; Finance","score_opus":0.1653923287681184,"score_gpt":0.2905151412624145,"score_spread":0.1251228124942961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221140972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9403882,0.0072178487,0.028136853,0.001612633,0.00013460907,0.000075596035,0.002041571,0.00010803741,0.020284636],"genre_scores_gemma":[0.9895655,0.001576807,0.0065269317,0.00008010229,0.00010134148,0.000030697636,0.00082310603,0.000012954796,0.0012824711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908304,0.0003467556,0.00010036189,0.00014703645,0.00026102693,0.00006173907],"domain_scores_gemma":[0.9915792,0.003787041,0.0030702162,0.00044451415,0.00091225567,0.00020667266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028821263,0.0004662719,0.0005248937,0.0028601014,0.00020583169,0.0017391325,0.00035986304,0.00039826983,0.0019970206],"category_scores_gemma":[0.012191652,0.00017067787,0.0003052348,0.003413986,0.00040207413,0.0020601742,0.0003906333,0.0005928018,0.00046578457],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057770205,0.00004059733,0.9456022,0.00008188265,0.00029303454,0.000103273705,0.00017498159,0.0014769094,0.00054939685,0.0039416053,0.0009134479,0.04676502],"study_design_scores_gemma":[0.000034774497,0.00024032965,0.9543788,0.0001779355,0.00031515182,0.000372106,0.0017902998,0.021705985,0.0024156326,0.009084027,0.009433021,0.000051974097],"about_ca_topic_score_codex":0.0022007276,"about_ca_topic_score_gemma":0.0026894405,"teacher_disagreement_score":0.0028821263,"about_ca_system_score_codex":0.00046342894,"about_ca_system_score_gemma":0.00045281285,"threshold_uncertainty_score":0.015242279},"labels":[],"label_agreement":null},{"id":"W4225276355","doi":"10.3390/jrfm15030105","title":"Dynamic and Static Volatility Interruptions: Evidence from the Korean Stock Markets","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Stock (firearms); Econometrics; Stock exchange; Stock price; Financial economics; Monetary economics; Finance; Engineering; Series (stratigraphy)","score_opus":0.023064059481436777,"score_gpt":0.22637732938332317,"score_spread":0.2033132699018864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225276355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982839,0.0003156285,0.00016735127,0.000060494538,0.0000038430544,0.000008952923,0.00011111241,0.000005075242,0.0010436225],"genre_scores_gemma":[0.99937123,0.00019118942,0.00009846769,0.000029680683,0.000013033453,0.0000027245658,0.00018456427,0.0000022217605,0.000106963984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994242,0.00009634805,0.00007604464,0.00010908849,0.00020556017,0.000088852474],"domain_scores_gemma":[0.98621374,0.0041327765,0.0066292183,0.0011064662,0.0010444548,0.00087336893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017388512,0.00024646372,0.00032668424,0.0012015101,0.00034040306,0.0009511467,0.00044794308,0.00048323788,0.0018463123],"category_scores_gemma":[0.009139678,0.00022962841,0.00040566252,0.0011530113,0.0005164219,0.0014445069,0.0007688008,0.0008571119,0.00023914083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012744087,0.00046674226,0.9525735,0.00014085184,0.00037132352,0.0006969793,0.0009514303,0.0011629418,0.0032668398,0.0019840167,0.0007128167,0.036398124],"study_design_scores_gemma":[0.000058132555,0.00044764645,0.99148214,0.0000234821,0.0002022731,0.00035025802,0.0009059958,0.0029307606,0.0010942229,0.0008260104,0.001648178,0.000030943003],"about_ca_topic_score_codex":0.0037450988,"about_ca_topic_score_gemma":0.0031052462,"teacher_disagreement_score":0.0037450988,"about_ca_system_score_codex":0.00024334538,"about_ca_system_score_gemma":0.00025820918,"threshold_uncertainty_score":0.009195983},"labels":[],"label_agreement":null},{"id":"W4225485771","doi":"10.2139/ssrn.4079302","title":"Do ETFs Increase the Comovements of Their Underlying Assets? Evidence from a Switch in ETF Replication Technique","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Market liquidity; Replication (statistics); Arbitrage; Stock exchange; Monetary economics; Exploit; Business; Sample (material); Stock (firearms); Identification (biology); Economics; Econometrics; Financial economics; Computer science; Finance; Biology; Chemistry; Computer security","score_opus":0.05141659131022008,"score_gpt":0.2649315534938774,"score_spread":0.21351496218365734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225485771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9673324,0.0014823433,0.020620476,0.0013206647,0.00035347234,0.00013542862,0.0010220129,0.00020214495,0.007531113],"genre_scores_gemma":[0.9922998,0.00028123157,0.004422015,0.00017590834,0.00021275655,0.00007011325,0.0004929709,0.000061034592,0.0019841157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9886679,0.0054779174,0.0013773406,0.0018569707,0.0019440897,0.00067582575],"domain_scores_gemma":[0.64652556,0.22738084,0.034712713,0.075145535,0.012547921,0.0036874465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025987636,0.00059979875,0.0012576232,0.0012562051,0.0008528072,0.003527613,0.0023480465,0.0036384992,0.013554332],"category_scores_gemma":[0.21513683,0.0005019813,0.0017040442,0.0017916416,0.0014887679,0.0042533386,0.0021658423,0.0023596585,0.0020914834],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020305261,0.0028357296,0.6209211,0.00080035103,0.0021930665,0.0017096446,0.0050982856,0.0065520247,0.022943774,0.020638831,0.006116292,0.2898857],"study_design_scores_gemma":[0.002063264,0.0030513632,0.88595843,0.00023574912,0.0015157624,0.0015122242,0.0025714077,0.022531984,0.010122575,0.054984033,0.015196494,0.00025681077],"about_ca_topic_score_codex":0.0035978546,"about_ca_topic_score_gemma":0.001165787,"teacher_disagreement_score":0.025987636,"about_ca_system_score_codex":0.0005394755,"about_ca_system_score_gemma":0.0007558301,"threshold_uncertainty_score":0.1374374},"labels":[],"label_agreement":null},{"id":"W4225682213","doi":"10.3390/jrfm15050223","title":"Deep Partial Hedging","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Cooperation in Science and Technology","keywords":"Context (archaeology); Transaction cost; Replicate; Stochastic game; Computer science; Database transaction; Pairs trade; Econometrics; Artificial intelligence; Mathematical economics; Economics; Microeconomics; Mathematics; Financial economics; Algorithmic trading; Statistics","score_opus":0.013409107809956893,"score_gpt":0.19079165581259108,"score_spread":0.1773825480026342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225682213","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030850394,0.00069681124,0.9569682,0.0003500293,0.00012811828,0.00003607599,0.00014340236,0.00052158546,0.010305413],"genre_scores_gemma":[0.8754405,0.00051971286,0.10799882,0.00026068883,0.00007128827,0.00007608329,0.00026278078,0.00010035604,0.01526978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998016,0.000044183427,0.0000141066475,0.000045099147,0.000062597304,0.000032475607],"domain_scores_gemma":[0.99950457,0.00021259874,0.000045865196,0.00011856251,0.000083065395,0.00003532899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007307324,0.00065092783,0.00070932286,0.00029308908,0.00026955956,0.0012203099,0.00094239635,0.00083203666,0.0069326875],"category_scores_gemma":[0.0020495525,0.00037574276,0.00058789056,0.0003615692,0.0006175028,0.0017215827,0.0014593065,0.0014129916,0.00059601315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088942514,0.000067249595,0.0010642208,0.00010922976,0.00010058208,0.00016650706,0.000076192875,0.73227745,0.004947994,0.10747525,0.0032294695,0.15039688],"study_design_scores_gemma":[0.0000039131887,0.00001793579,0.000102119324,0.0000070220553,0.000005888965,0.000029060264,0.000003247317,0.9680865,0.0006967257,0.030182205,0.0008603837,0.0000049276928],"about_ca_topic_score_codex":0.00162295,"about_ca_topic_score_gemma":0.0025395828,"teacher_disagreement_score":0.0069326875,"about_ca_system_score_codex":0.0006012294,"about_ca_system_score_gemma":0.0005972773,"threshold_uncertainty_score":0.023192108},"labels":[],"label_agreement":null},{"id":"W4225933720","doi":"10.2139/ssrn.4090024","title":"Changes in Risk Factor Disclosures and the Variance Risk Premium","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Risk premium; Variance risk premium; Variance (accounting); Risk factor; Business; Actuarial science; Econometrics; Economics; Medicine; Volatility risk premium; Accounting; Internal medicine; Volatility (finance)","score_opus":0.010447091372210735,"score_gpt":0.1917124613319868,"score_spread":0.18126536995977607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225933720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99444675,0.00043151106,0.0008568959,0.000988723,0.0000348815,0.0000054932984,0.00027608004,0.000035200574,0.00292439],"genre_scores_gemma":[0.99874914,0.000084903404,0.00009126954,0.0000317467,0.000041930307,0.0000010794365,0.00011869558,0.0000044243516,0.00087678526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992155,0.00021902329,0.00009613906,0.00012370615,0.00018715518,0.00015853297],"domain_scores_gemma":[0.960825,0.023744455,0.01137217,0.0013541696,0.0011875532,0.0015166168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023175164,0.00016992846,0.00027569308,0.000731104,0.00020919162,0.0023852286,0.00035104866,0.001715636,0.0052288193],"category_scores_gemma":[0.035769437,0.00018391482,0.00026980153,0.00078808784,0.0005284955,0.0015656389,0.0005275468,0.0018579962,0.0006531927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00235687,0.0009720041,0.9046836,0.00006837041,0.00031104873,0.0010448927,0.0008737023,0.009785119,0.006187834,0.022220805,0.0030304429,0.048465382],"study_design_scores_gemma":[0.00007387104,0.0003388712,0.9536551,0.000021122183,0.0001259766,0.0007372831,0.00048661174,0.017436767,0.0015814884,0.023800086,0.0016857765,0.0000570063],"about_ca_topic_score_codex":0.0022412785,"about_ca_topic_score_gemma":0.0016200575,"teacher_disagreement_score":0.0052288193,"about_ca_system_score_codex":0.00048481234,"about_ca_system_score_gemma":0.00032288532,"threshold_uncertainty_score":0.017492115},"labels":[],"label_agreement":null},{"id":"W4226019002","doi":"10.2139/ssrn.4067847","title":"Do Corporate Bond Mutual Funds Possess Skills? Evidence from Trading Around Earnings Announcements","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Corporate bond; Earnings; Business; Bond; Post-earnings-announcement drift; Financial system; Accounting; Monetary economics; Earnings response coefficient; Economics; Finance","score_opus":0.040775262401362596,"score_gpt":0.23320189619222795,"score_spread":0.19242663379086536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226019002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99715805,0.00021708182,0.00004488156,0.0003024885,0.0000069477633,0.00000415907,0.00023640538,0.0000032354808,0.0020268694],"genre_scores_gemma":[0.9989502,0.00016786958,0.000030137511,0.00004228433,0.00002843382,0.0000026896876,0.00028549452,0.0000016526966,0.00049136946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993038,0.0001839142,0.000083349354,0.000082752784,0.00019383925,0.00015234624],"domain_scores_gemma":[0.9378344,0.02478009,0.029911872,0.0021779018,0.0021406172,0.003155221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017735081,0.0002273436,0.0002474732,0.0011328096,0.00043353788,0.0013090451,0.00058886217,0.0011683317,0.0051443726],"category_scores_gemma":[0.029258631,0.00023613355,0.00020585112,0.0009713647,0.00068783504,0.0016635965,0.0009986621,0.00068983575,0.0009265888],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005885007,0.00024131389,0.98804015,0.00003095757,0.00006992895,0.0001604844,0.00055200147,0.0001508614,0.0004733146,0.0004049009,0.00051619747,0.008771215],"study_design_scores_gemma":[0.00004031994,0.00020646163,0.9966634,0.000019207986,0.00004804698,0.0001285588,0.00072831643,0.00032871586,0.00030973053,0.00036579272,0.0011534982,0.000007796425],"about_ca_topic_score_codex":0.0062404606,"about_ca_topic_score_gemma":0.0076755984,"teacher_disagreement_score":0.0062404606,"about_ca_system_score_codex":0.00026399837,"about_ca_system_score_gemma":0.0002686503,"threshold_uncertainty_score":0.017209709},"labels":[],"label_agreement":null},{"id":"W4226091769","doi":"10.2139/ssrn.4088453","title":"Liquidity Shocks and Institutional Trading","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Market liquidity; Business; Monetary economics; Financial system; Economics; Finance","score_opus":0.020603956561399784,"score_gpt":0.20162267577027695,"score_spread":0.18101871920887716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226091769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879198,0.00094811653,0.000820813,0.0016282573,0.00002531749,0.000006353624,0.00021200319,0.00004848455,0.008390812],"genre_scores_gemma":[0.99914944,0.00012525449,0.000026964002,0.000034484754,0.000019307094,9.0290484e-7,0.00004409897,0.0000032968167,0.00059626065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998312,0.000044782297,0.000016867707,0.000023908227,0.000021206984,0.000061881714],"domain_scores_gemma":[0.9954091,0.0017159337,0.0020358996,0.00019225178,0.00013117386,0.0005157821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055881223,0.00013404971,0.00022662443,0.00066682877,0.00036584676,0.0036394743,0.0002775902,0.0011563959,0.008329317],"category_scores_gemma":[0.00716901,0.00014383433,0.00018676226,0.0009814225,0.0006314387,0.002025425,0.0009339245,0.00116101,0.0005993008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046904366,0.0012454373,0.628246,0.0002007105,0.00047137635,0.004071235,0.0019277979,0.034861125,0.0052450304,0.20977587,0.009620687,0.09964423],"study_design_scores_gemma":[0.00028004576,0.0004168507,0.61949444,0.00010119551,0.00020126397,0.001022821,0.0035225053,0.05554032,0.0018384127,0.30990896,0.007558536,0.00011470289],"about_ca_topic_score_codex":0.0013573342,"about_ca_topic_score_gemma":0.0016258089,"teacher_disagreement_score":0.008329317,"about_ca_system_score_codex":0.00055323774,"about_ca_system_score_gemma":0.00025521,"threshold_uncertainty_score":0.027864277},"labels":[],"label_agreement":null},{"id":"W4226204474","doi":"10.3390/jrfm15040162","title":"Mean Reversions in Major Developed Stock Markets: Recent Evidence from Unit Root, Spectral and Abnormal Return Studies","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predictability; Stock (firearms); Econometrics; Unit root; Financial economics; Economics; Efficient-market hypothesis; Stock market; Market efficiency; Statistical hypothesis testing; Statistics; Mathematics; Engineering; Geography","score_opus":0.04400294414096642,"score_gpt":0.24226735803778376,"score_spread":0.19826441389681734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226204474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99525344,0.001854179,0.0010316827,0.00025776724,0.000008680218,0.000008734634,0.0006345063,0.000016229998,0.0009347332],"genre_scores_gemma":[0.9963284,0.0011008226,0.0006762973,0.00006824611,0.000044333687,0.0000055521828,0.0016372405,0.0000062742747,0.0001327639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993248,0.00015170238,0.000112764996,0.00016246665,0.00018607432,0.00006212835],"domain_scores_gemma":[0.97317964,0.010254166,0.011316421,0.0016929389,0.0027297542,0.00082707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003401597,0.0002492128,0.00036520144,0.0029117146,0.00026652665,0.0014098515,0.0005730614,0.00036671766,0.0007887964],"category_scores_gemma":[0.017242566,0.0001656842,0.00044637301,0.0030811615,0.0010359762,0.001431779,0.0007836863,0.00055071764,0.00010000696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017517258,0.000082349216,0.96600205,0.0001327803,0.00030586703,0.0003441846,0.0003727209,0.002612635,0.0009024286,0.0027461064,0.00079737505,0.025526369],"study_design_scores_gemma":[0.000018245632,0.0000752431,0.9893909,0.000032498763,0.00011842676,0.00017334499,0.00019498271,0.005298854,0.00086658204,0.0017636459,0.0020435445,0.000023828221],"about_ca_topic_score_codex":0.008028447,"about_ca_topic_score_gemma":0.011215408,"teacher_disagreement_score":0.008028447,"about_ca_system_score_codex":0.00041071814,"about_ca_system_score_gemma":0.00042631757,"threshold_uncertainty_score":0.017989576},"labels":[],"label_agreement":null},{"id":"W4226443383","doi":"10.1111/jfir.12272","title":"Preopening price indications and market quality: Evidence from NYSE Rule 48","year":2022,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Market liquidity; Price discovery; Volatility (finance); Financial economics; Monetary economics; Business; Liquidity crisis; Market maker; Economics; Stock market; Biology","score_opus":0.1728350955287222,"score_gpt":0.3585637525765061,"score_spread":0.18572865704778388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226443383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902682,0.000617618,0.0006829099,0.000528227,0.000039652314,0.000035661986,0.00085561146,0.000026606658,0.0069455393],"genre_scores_gemma":[0.9979964,0.0002012358,0.00024871022,0.000088540415,0.00006007588,0.000011318634,0.0009224047,0.00001461949,0.00045656099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948501,0.0015003782,0.00072077615,0.0005464236,0.0020928697,0.0002893802],"domain_scores_gemma":[0.66812134,0.16273233,0.12595055,0.021106558,0.013776426,0.008312846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010242355,0.00028160898,0.0006565937,0.0013760142,0.00048386265,0.0029870123,0.00096135394,0.0014569057,0.005391112],"category_scores_gemma":[0.12528,0.0002147118,0.0005185367,0.0012372207,0.0014393871,0.0023766104,0.0015537181,0.0018717074,0.001332774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002579559,0.00048552957,0.9832666,0.00004262673,0.0002513619,0.00017582931,0.000165194,0.0010123143,0.00048616275,0.0014278042,0.0009986977,0.009108448],"study_design_scores_gemma":[0.00021972366,0.0008012908,0.989183,0.000040263236,0.0001234426,0.00022103322,0.0002194868,0.0033560814,0.0008851985,0.002741166,0.0021666328,0.00004274586],"about_ca_topic_score_codex":0.0027536794,"about_ca_topic_score_gemma":0.001879215,"teacher_disagreement_score":0.010242355,"about_ca_system_score_codex":0.0003801559,"about_ca_system_score_gemma":0.00038832313,"threshold_uncertainty_score":0.05416739},"labels":[],"label_agreement":null},{"id":"W4229006577","doi":"10.3390/jrfm15050209","title":"How the Closure of a U.S. Tax Loophole May Affect Investor Portfolios","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Asset (computer security); Economics; Investment (military); Monetary economics; Closure (psychology); Matching (statistics); Financial economics; Econometrics; Microeconomics; Business; Mathematics; Computer science","score_opus":0.015206207409379613,"score_gpt":0.19104935334685844,"score_spread":0.17584314593747882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229006577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779515,0.00036945601,0.011411917,0.001906169,0.000043360877,0.000016896991,0.000214226,0.00006716895,0.008019242],"genre_scores_gemma":[0.9990189,0.00006911618,0.0003386446,0.00006717637,0.0000044198696,0.000002002496,0.000021392802,0.000003592585,0.00047482946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9993616,0.00021436182,0.000027755708,0.00009596431,0.000097840515,0.00020253644],"domain_scores_gemma":[0.9921755,0.0038905109,0.0028280905,0.00044912795,0.00035926173,0.00029751792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021171495,0.00020489903,0.00035242736,0.00039102917,0.0005094177,0.0024365983,0.00054339843,0.0014036474,0.0020390665],"category_scores_gemma":[0.02062844,0.0002764738,0.00039917257,0.000506508,0.0012091191,0.002591179,0.0007876322,0.0017326395,0.00015193173],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007186455,0.00061489415,0.11156943,0.000078866404,0.00024052219,0.00127933,0.00044623928,0.5452206,0.0047378954,0.27845675,0.0060362793,0.05060051],"study_design_scores_gemma":[0.00010652288,0.00054691196,0.066096455,0.00008115681,0.00020093171,0.00046487738,0.0008448343,0.69544005,0.0054099695,0.22560164,0.0050497297,0.00015681861],"about_ca_topic_score_codex":0.016577313,"about_ca_topic_score_gemma":0.012402711,"teacher_disagreement_score":0.016577313,"about_ca_system_score_codex":0.0019038799,"about_ca_system_score_gemma":0.0010794664,"threshold_uncertainty_score":0.032961607},"labels":[],"label_agreement":null},{"id":"W4229366084","doi":"10.3390/jrfm15050214","title":"An Investigation of the Beta Anomaly in Emerging Markets: A South African Case","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Anomaly (physics); BETA (programming language); Volatility (finance); Econometrics; Capital asset pricing model; Stock exchange; Economics; Financial economics; Stock (firearms); Emerging markets; Systematic risk; Geography; Physics; Finance; Computer science","score_opus":0.013427734155599396,"score_gpt":0.1926665306437643,"score_spread":0.1792387964881649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229366084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981521,0.00019840589,0.0003814668,0.00012654264,0.0000012870955,0.0000049151045,0.00002242427,9.1823046e-7,0.0011119357],"genre_scores_gemma":[0.99946696,0.00019713718,0.00020663487,0.000007526789,0.0000040557306,0.000002186401,0.000016344939,7.6304184e-7,0.00009845797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998005,0.00007555444,0.00001886965,0.000027381808,0.0000368807,0.000040918945],"domain_scores_gemma":[0.99753547,0.0012994169,0.0007421707,0.00013149495,0.00019487069,0.000096581585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010600035,0.00016891604,0.00021985147,0.0014890288,0.00045048108,0.0008587308,0.00016894666,0.00029506822,0.0007111656],"category_scores_gemma":[0.0041751363,0.000104112216,0.00022470093,0.0016561436,0.0006803682,0.0010308533,0.0006993079,0.00040012828,0.000043666274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024644827,0.00009761008,0.907271,0.000119621174,0.00011529228,0.016148198,0.0070855804,0.0030915358,0.0038666062,0.029407946,0.00047474622,0.032075457],"study_design_scores_gemma":[0.00003283496,0.00017331766,0.9342569,0.00012714545,0.00010859522,0.0060263746,0.0119362455,0.031338148,0.0020628308,0.008880375,0.005025364,0.000031942312],"about_ca_topic_score_codex":0.006647001,"about_ca_topic_score_gemma":0.004944414,"teacher_disagreement_score":0.006647001,"about_ca_system_score_codex":0.00044730416,"about_ca_system_score_gemma":0.0003527406,"threshold_uncertainty_score":0.013216615},"labels":[],"label_agreement":null},{"id":"W4229368332","doi":"10.1111/1540-6229.12387","title":"CEO–CFO team optimism: Commercial real estate transactions and REIT performance","year":2022,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Optimism; Business; Real estate; Real estate investment trust; Corporate governance; Database transaction; Finance; Accounting; Monetary economics; Economics; Psychology","score_opus":0.024551785352248983,"score_gpt":0.2001978448030814,"score_spread":0.17564605945083242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229368332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979327,0.00005435199,0.000085423155,0.00010024643,0.0000030514605,0.0000031894056,0.000027294422,0.0000015313418,0.001792171],"genre_scores_gemma":[0.9996164,0.0000095648975,0.000018083516,0.000005898469,0.0000045106553,8.600948e-7,0.0000226379,5.3534177e-7,0.0003214524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929845,0.00022332612,0.0000550134,0.0000856194,0.00014304584,0.00019445903],"domain_scores_gemma":[0.9768694,0.0051006456,0.012703347,0.0006299817,0.00080083526,0.0038957822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016983092,0.00017296034,0.00020526783,0.00053023704,0.00034014584,0.0019057647,0.00024334884,0.00042199265,0.00569064],"category_scores_gemma":[0.009126629,0.00008119349,0.00016516195,0.00043804225,0.00041670338,0.0006024488,0.0007733377,0.0005881262,0.0005492587],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002405501,0.0001740268,0.99130464,0.00001074958,0.00004677467,0.00010094064,0.0004447186,0.000838602,0.0003532288,0.00033342,0.00032769924,0.0058247335],"study_design_scores_gemma":[0.0000057359357,0.00010864105,0.99629456,0.00000800931,0.000009933452,0.00005939225,0.0015420258,0.0012115723,0.00015368903,0.00031896777,0.00028012847,0.0000072616626],"about_ca_topic_score_codex":0.002326662,"about_ca_topic_score_gemma":0.0034590994,"teacher_disagreement_score":0.00569064,"about_ca_system_score_codex":0.0005750591,"about_ca_system_score_gemma":0.00026854785,"threshold_uncertainty_score":0.019037068},"labels":[],"label_agreement":null},{"id":"W4229448826","doi":"10.33423/jabe.v24i2.5144","title":"Generalizing the Sharpe Ratio and Infinite Divisibility in Financial Markets","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sharpe ratio; Economics; Bond; Econometrics; Investment (military); Fixed income; Divisibility rule; Financial economics; Value (mathematics); Mathematics; Statistics; Finance; Combinatorics","score_opus":0.02303916275714926,"score_gpt":0.1904043408850366,"score_spread":0.16736517812788734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229448826","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17807649,0.0027024231,0.7998247,0.0022313336,0.00015274217,0.000121522724,0.00048441242,0.0006411781,0.015765144],"genre_scores_gemma":[0.9403389,0.0017314141,0.054145332,0.00049539254,0.00040723852,0.000106083666,0.00027762778,0.00010710459,0.0023909446],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99830663,0.0004983617,0.00013666303,0.00047605418,0.00042697607,0.00015533903],"domain_scores_gemma":[0.98375016,0.010729218,0.0021320258,0.0022616284,0.0007759792,0.0003509497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007228201,0.0010974251,0.00089452957,0.0028473998,0.00043011183,0.0029021588,0.0016841679,0.0014853758,0.002398502],"category_scores_gemma":[0.051007114,0.00053385156,0.0016296586,0.001779466,0.004334717,0.0085241655,0.0021711218,0.0032867908,0.00045231584],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060255537,0.000065813976,0.0066348603,0.00016614348,0.00010175645,0.0005287999,0.00042610866,0.06863339,0.0028364337,0.8880327,0.0015046677,0.031009056],"study_design_scores_gemma":[0.00002351529,0.00007435253,0.004900748,0.000038551956,0.00002307881,0.00047380282,0.000070244605,0.15994252,0.00077645836,0.83052325,0.00311366,0.000039806735],"about_ca_topic_score_codex":0.0014764216,"about_ca_topic_score_gemma":0.00065856817,"teacher_disagreement_score":0.007228201,"about_ca_system_score_codex":0.0011474786,"about_ca_system_score_gemma":0.0005626254,"threshold_uncertainty_score":0.038226783},"labels":[],"label_agreement":null},{"id":"W4229616409","doi":"10.24124/2010/bpgub1429","title":"Risk-reward of exchange traded funds: a study of Canadian ETF's","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Selkirk College; British Columbia Institute of Technology","funders":"","keywords":"Emerging markets; Treynor ratio; Business; Currency; Equity (law); BRIC; Monetary economics; Financial economics; Financial system; Finance; Economics; Sharpe ratio; Portfolio","score_opus":0.0380916128897942,"score_gpt":0.22395375224612105,"score_spread":0.18586213935632684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229616409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806112,0.0010247369,0.00008715449,0.0006722024,0.0000121391,0.000035806082,0.0012977729,0.000009519734,0.016249515],"genre_scores_gemma":[0.9937861,0.0010202335,0.00017502904,0.00008599672,0.0000070662536,0.000008240247,0.0007108617,0.0000056620675,0.004200749],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984823,0.00007075384,0.00006049277,0.00007696681,0.00095033576,0.0003592022],"domain_scores_gemma":[0.99382967,0.00045247452,0.0008872447,0.0001261986,0.0038650502,0.0008393481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013716677,0.0002629461,0.0002591202,0.0031176645,0.0029821752,0.0018824062,0.00074441405,0.00034025204,0.001958297],"category_scores_gemma":[0.008058126,0.00012981798,0.0003726542,0.006040824,0.0006264127,0.0006960247,0.0008479749,0.00053870195,0.00017106367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003892559,0.00014149233,0.88272506,0.00017663701,0.000108426655,0.0008690723,0.009129444,0.0012039046,0.0008751579,0.00736465,0.009829067,0.08718786],"study_design_scores_gemma":[0.00001006762,0.00006161621,0.96890825,0.000063971565,0.00004104235,0.0002955255,0.0068131555,0.00090824824,0.00030541807,0.00013680483,0.022421975,0.000033845365],"about_ca_topic_score_codex":0.98294234,"about_ca_topic_score_gemma":0.98541903,"teacher_disagreement_score":0.032855935,"about_ca_system_score_codex":0.032855935,"about_ca_system_score_gemma":0.040057223,"threshold_uncertainty_score":0.23838758},"labels":[],"label_agreement":null},{"id":"W4230098579","doi":"10.2139/ssrn.2348423","title":"Firm Heterogeneity and Investor Inattention to Friday Earnings Announcements","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Earnings; Business; Monetary economics; Economics; Financial economics; Accounting","score_opus":0.01641219399170384,"score_gpt":0.21052116914644828,"score_spread":0.19410897515474443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230098579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957451,0.0004887361,0.00017826889,0.0009049555,0.00002819233,0.00001120541,0.0001707104,0.000011495604,0.0024612653],"genre_scores_gemma":[0.9989317,0.00010514718,0.000021207778,0.000060092225,0.000049166432,0.0000028974616,0.0001201837,0.0000031476734,0.00070645753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882835,0.00027914767,0.00011260154,0.00020988563,0.00018491897,0.0003850273],"domain_scores_gemma":[0.92779195,0.027294517,0.03565336,0.0025560379,0.0013735975,0.005330528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005223995,0.00018361046,0.0006008931,0.0011188404,0.0007570476,0.0032696957,0.000876033,0.0022095207,0.006006855],"category_scores_gemma":[0.039992053,0.00029237627,0.0003870523,0.0010321711,0.00069641817,0.0013923495,0.0012698622,0.002303562,0.0007470965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011736566,0.00040605533,0.98289317,0.000027828057,0.00020205387,0.00041030475,0.00070518855,0.0021363765,0.00072688115,0.0016827863,0.0014637405,0.008171863],"study_design_scores_gemma":[0.000040367147,0.00014950788,0.9923839,0.000019749263,0.000084180276,0.00010762612,0.0011665248,0.0029049646,0.00025290053,0.0019530053,0.000912919,0.000024248771],"about_ca_topic_score_codex":0.015447278,"about_ca_topic_score_gemma":0.022120172,"teacher_disagreement_score":0.015447278,"about_ca_system_score_codex":0.0010280219,"about_ca_system_score_gemma":0.0006247247,"threshold_uncertainty_score":0.03071475},"labels":[],"label_agreement":null},{"id":"W4230588979","doi":"10.14711/thesis-b1628021","title":"Uneasy lies the head that wears a crown : mutual fund category kings","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diseconomies of scale; Mutual fund; Quarter (Canadian coin); Ranking (information retrieval); Capital (architecture); Closed-end fund; Point (geometry); Economics; Econometrics; Mathematics; Finance; Geography; Computer science; Microeconomics; Artificial intelligence; Economies of scale","score_opus":0.05738564889365769,"score_gpt":0.24845673205527957,"score_spread":0.19107108316162189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230588979","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025546199,0.02219706,0.0021064158,0.25242448,0.010097411,0.000045519973,0.0021204143,0.00042105257,0.6850415],"genre_scores_gemma":[0.10100621,0.0077516777,0.0009796637,0.005287115,0.002258311,0.000045289948,0.0011181151,0.0002696476,0.88128394],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99947697,0.00012930231,0.00002379396,0.00007721488,0.0002009854,0.00009174111],"domain_scores_gemma":[0.9974565,0.0007410222,0.00042790492,0.000083144354,0.0006521225,0.00063933065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010281849,0.00028426416,0.00034859878,0.00064716785,0.0022041302,0.0046054805,0.00035545486,0.0010812974,0.124696426],"category_scores_gemma":[0.009092204,0.0001872044,0.00014918603,0.0014256462,0.0010266296,0.004208646,0.0016064567,0.0018367803,0.036759976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017530176,0.0000115141265,0.0010570885,0.00004120258,0.0000022823585,0.000027055323,0.0008236042,0.000029000448,0.000029587778,0.015226438,0.9366033,0.04613134],"study_design_scores_gemma":[0.000008109132,0.00001358585,0.010266367,0.00039280948,0.0000067175347,0.00011392077,0.0050945464,0.00015059125,0.00017733447,0.014577687,0.969178,0.000020400883],"about_ca_topic_score_codex":0.013375578,"about_ca_topic_score_gemma":0.029941706,"teacher_disagreement_score":0.124696426,"about_ca_system_score_codex":0.0024734184,"about_ca_system_score_gemma":0.0017736093,"threshold_uncertainty_score":0.41715115},"labels":[],"label_agreement":null},{"id":"W4230736172","doi":"10.2139/ssrn.2140250","title":"Core Anomalies","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Geology","score_opus":0.04180036339262599,"score_gpt":0.22997772964147004,"score_spread":0.18817736624884404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230736172","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25077397,0.002126509,0.10524209,0.003977429,0.003689806,0.00030198,0.01721946,0.0120236855,0.6046451],"genre_scores_gemma":[0.8908761,0.0005431679,0.010575651,0.0010591281,0.0008513007,0.000095738134,0.008529912,0.0026920126,0.08477691],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990103,0.000058811725,0.00004231035,0.00034981009,0.00035078672,0.00018793064],"domain_scores_gemma":[0.99730754,0.0003964093,0.00040925838,0.00075661205,0.00091136544,0.00021886772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062841945,0.0007437571,0.0008568223,0.0029236833,0.0009057947,0.0028275172,0.0009499111,0.0013946015,0.042930674],"category_scores_gemma":[0.0069637923,0.00031276906,0.00056717865,0.0023297577,0.0007044711,0.0022380191,0.0019859786,0.0020101299,0.014847738],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077344547,0.00017231877,0.038247913,0.00043301354,0.0001968324,0.0011303042,0.0006693891,0.014138023,0.023294682,0.32747096,0.22611247,0.36736074],"study_design_scores_gemma":[0.00013178808,0.00019111412,0.11013997,0.00018881191,0.0001833423,0.003577771,0.0006847203,0.10967351,0.032646924,0.26505867,0.47737956,0.00014386949],"about_ca_topic_score_codex":0.00221403,"about_ca_topic_score_gemma":0.0013279642,"teacher_disagreement_score":0.042930674,"about_ca_system_score_codex":0.0012731034,"about_ca_system_score_gemma":0.00091049273,"threshold_uncertainty_score":0.14361739},"labels":[],"label_agreement":null},{"id":"W4230860542","doi":"10.3905/jot.2007.694824","title":"Editor's Letter","year":2007,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Compromise; Profitability index; Transaction cost; Financial economics; Economics; Business; Accounting; Finance; Political science; Law","score_opus":0.0286311151477232,"score_gpt":0.21841218970877424,"score_spread":0.18978107456105103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230860542","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017034763,0.0020866902,0.00021693623,0.2081337,0.7806764,0.000028956432,0.0001264543,0.0001577587,0.00840274],"genre_scores_gemma":[0.0030794195,0.0030581593,0.00054582243,0.35597938,0.56862944,0.00008577003,0.00015652369,0.00016238524,0.0683031],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99692255,0.0003664492,0.0003531964,0.00060826406,0.001282698,0.00046682922],"domain_scores_gemma":[0.9870451,0.0027448435,0.0007346468,0.0007587075,0.0062592095,0.0024574506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034933947,0.0014713913,0.0013183639,0.0012203534,0.0027881651,0.0058673937,0.0028635291,0.017432166,0.06843983],"category_scores_gemma":[0.030646266,0.00063444197,0.0016405634,0.0007529918,0.0015797234,0.004126462,0.0020213008,0.015311788,0.04253738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013565383,0.00001064818,0.000053492065,0.00003415691,0.0000033923645,0.00017337364,0.000012195095,0.000012864948,0.00003168082,0.00039304805,0.9925619,0.0066996766],"study_design_scores_gemma":[0.000016949884,0.000015431042,0.00020024454,0.00009932723,0.000005513159,0.00032367103,0.000052726093,0.000046648358,0.00008172883,0.0007724703,0.9983753,0.000009977388],"about_ca_topic_score_codex":0.0010233062,"about_ca_topic_score_gemma":0.0018115012,"teacher_disagreement_score":0.06843983,"about_ca_system_score_codex":0.0018895133,"about_ca_system_score_gemma":0.003677375,"threshold_uncertainty_score":0.22895402},"labels":[],"label_agreement":null},{"id":"W4230882017","doi":"10.1016/s0378-4266(04)00051-2","title":"Portfolio performance measurement using APM-free kernel models*1","year":2005,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Brock University","funders":"","keywords":"Econometrics; Portfolio; Capital asset pricing model; Economics; Mutual fund; Equity (law); Basis point; Stochastic discount factor; Investment (military); Statistics; Actuarial science; Mathematics; Bond; Financial economics; Finance","score_opus":0.07334993262553396,"score_gpt":0.21986423269214903,"score_spread":0.14651430006661506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230882017","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32236403,0.00036527225,0.671944,0.0001995449,0.00007448033,0.000059059206,0.00034302488,0.0011911746,0.003459481],"genre_scores_gemma":[0.965547,0.000071759634,0.033448774,0.00001623076,0.000023995335,0.000021094218,0.00028009186,0.00004090925,0.0005501607],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99638087,0.0018423774,0.00022025831,0.0004877891,0.0008428645,0.00022598772],"domain_scores_gemma":[0.98553574,0.0057899365,0.0022240067,0.0037447687,0.0024236727,0.0002818209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037092944,0.0007449396,0.0008714488,0.0015733046,0.00031442445,0.002403564,0.0011851296,0.0014057652,0.0018445757],"category_scores_gemma":[0.0300938,0.00030357277,0.00054397027,0.001627415,0.00038931204,0.0035988567,0.0015327462,0.001032774,0.0010601226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022264323,0.00074906094,0.080148146,0.0003979217,0.00071184535,0.00023331407,0.00025671147,0.29027462,0.0197391,0.03250201,0.0037786954,0.5689821],"study_design_scores_gemma":[0.000020087818,0.00017337283,0.011307319,0.000010596871,0.000033228745,0.000092643015,0.00001951477,0.9769026,0.004565519,0.0064808736,0.00035912177,0.000035125482],"about_ca_topic_score_codex":0.0010359061,"about_ca_topic_score_gemma":0.00050009077,"teacher_disagreement_score":0.0037092944,"about_ca_system_score_codex":0.0005060129,"about_ca_system_score_gemma":0.0003862066,"threshold_uncertainty_score":0.019616902},"labels":[],"label_agreement":null},{"id":"W4231167725","doi":"10.2139/ssrn.1007508","title":"The Troves of Academe: Asset Allocation, Risk Budgeting and the Investment Performance of University Endowment Funds","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Endowment; Asset allocation; Business; Investment (military); Finance; Asset (computer security); Economics; Accounting; Actuarial science; Political science; Portfolio","score_opus":0.008350082248421365,"score_gpt":0.18589701404672093,"score_spread":0.17754693179829956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231167725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9095085,0.0064785755,0.0023388467,0.02196766,0.00019157547,0.000010822904,0.00041919397,0.000043458316,0.059041385],"genre_scores_gemma":[0.9925787,0.00074832817,0.00016810275,0.00015510814,0.0000797011,0.000003525812,0.00006027146,0.000008503599,0.0061977175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992293,0.00042793635,0.00003808267,0.000051809766,0.00008274497,0.00017002973],"domain_scores_gemma":[0.9934476,0.0026661644,0.0019686879,0.00026280704,0.00064739777,0.0010073405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025418375,0.00015568815,0.000367199,0.0006222332,0.000878843,0.0044392473,0.00033702576,0.001061985,0.0062486953],"category_scores_gemma":[0.020008523,0.00012638247,0.0001804888,0.0008222194,0.00079112244,0.002630503,0.0015727909,0.0010629214,0.00048482066],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019473474,0.0002345641,0.38334775,0.00011909029,0.00036360152,0.0005671181,0.001563437,0.028847683,0.0007373422,0.45000935,0.03610599,0.096156694],"study_design_scores_gemma":[0.00011007252,0.00028679663,0.4820316,0.00030473986,0.00035654928,0.00060192286,0.0059313145,0.048522852,0.002554848,0.379962,0.07919937,0.00013797433],"about_ca_topic_score_codex":0.013945374,"about_ca_topic_score_gemma":0.019344077,"teacher_disagreement_score":0.013945374,"about_ca_system_score_codex":0.0019268767,"about_ca_system_score_gemma":0.0014296835,"threshold_uncertainty_score":0.027728379},"labels":[],"label_agreement":null},{"id":"W4231710278","doi":"10.1093/rfs/hhaa102","title":"Arbitrage Portfolios","year":2020,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Sharpe ratio; Arbitrage; Econometrics; Portfolio; Capital asset pricing model; Statistical arbitrage; Stock (firearms); Economics; Financial economics; Arbitrage pricing theory; Predictive power; Risk arbitrage; Engineering","score_opus":0.08427744874884409,"score_gpt":0.2729593272432496,"score_spread":0.18868187849440554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231710278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015604125,0.00032391955,0.978613,0.00028992767,0.000045713557,0.00013348935,0.00012181938,0.00026454162,0.004603452],"genre_scores_gemma":[0.46675542,0.00041596394,0.5267488,0.00016690143,0.00019706646,0.0003486341,0.0006197174,0.000094113966,0.004653429],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99461067,0.002327341,0.0003595145,0.00075051794,0.0017222235,0.00022974325],"domain_scores_gemma":[0.9896625,0.0046929135,0.0014295152,0.0025371637,0.0013261554,0.00035172055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070359767,0.00071575714,0.0015171004,0.003604334,0.00078097486,0.0031423534,0.0014033674,0.0013802876,0.0054418454],"category_scores_gemma":[0.036858875,0.00059462356,0.0010004287,0.0022538065,0.0012510129,0.0036721672,0.0025914807,0.0013810588,0.0010913985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012098692,0.00015944969,0.015317544,0.00015420854,0.00035423142,0.00033087804,0.00038939898,0.1115195,0.0043062354,0.38713858,0.005006746,0.47520223],"study_design_scores_gemma":[0.000060034476,0.0001469913,0.004973463,0.000094554736,0.00006674554,0.00040838687,0.00007514816,0.534024,0.004524578,0.44053566,0.015024721,0.000065659755],"about_ca_topic_score_codex":0.000507774,"about_ca_topic_score_gemma":0.00043687527,"teacher_disagreement_score":0.0070359767,"about_ca_system_score_codex":0.00069072837,"about_ca_system_score_gemma":0.0009034701,"threshold_uncertainty_score":0.037210226},"labels":[],"label_agreement":null},{"id":"W4231770175","doi":"10.2139/ssrn.1363759","title":"Market Volatility, Skewness, and Kurtosis Risks and the Cross-Section of Stock Returns","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Bank of Canada","funders":"","keywords":"Kurtosis; Skewness; Volatility (finance); Financial economics; Econometrics; Economics; Stock (firearms); Mathematics; Statistics; Engineering","score_opus":0.023402399368041133,"score_gpt":0.2442014597480426,"score_spread":0.22079906038000147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231770175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98617446,0.001821217,0.008992167,0.0005859767,0.000023965542,0.000006241003,0.00011186568,0.000043280434,0.0022408094],"genre_scores_gemma":[0.9984125,0.0004614151,0.00039863752,0.0000219398,0.000058066784,0.000004665136,0.00008263704,0.000009181359,0.00055098376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995504,0.00017757126,0.000041273935,0.00006789519,0.00009556767,0.00006726809],"domain_scores_gemma":[0.97624606,0.0174096,0.0034690497,0.0010331,0.00089667976,0.0009454194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031231483,0.00044097123,0.0004636448,0.0014004395,0.00025412053,0.0019833832,0.0004593674,0.0012264532,0.002802875],"category_scores_gemma":[0.029188855,0.00038821207,0.00065419235,0.0010261392,0.0008018291,0.0033521801,0.0009929754,0.0011998147,0.00058839394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012155337,0.00022384254,0.7875935,0.00009625265,0.0009793895,0.0010000366,0.0008763786,0.062380295,0.005426028,0.09478728,0.0015025428,0.043919034],"study_design_scores_gemma":[0.000054190805,0.0002463498,0.6365442,0.000061376544,0.00030041373,0.001584674,0.000462219,0.19145122,0.0015346742,0.16651136,0.0011313572,0.00011799416],"about_ca_topic_score_codex":0.0012303465,"about_ca_topic_score_gemma":0.0009847587,"teacher_disagreement_score":0.0031231483,"about_ca_system_score_codex":0.00037585167,"about_ca_system_score_gemma":0.00032766582,"threshold_uncertainty_score":0.016516984},"labels":[],"label_agreement":null},{"id":"W4232623416","doi":"10.2139/ssrn.1784468","title":"Rumors of Mergers and Acquisitions: Market Efficiency and Markup Pricing","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Lethbridge","funders":"","keywords":"Rumor; Markup language; Mergers and acquisitions; Business; Efficient-market hypothesis; Financial economics; Advertising; Monetary economics; Economics; Finance; Computer science; Law; Political science","score_opus":0.006380045905680705,"score_gpt":0.19021338366213897,"score_spread":0.18383333775645827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232623416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93971103,0.0024833102,0.045616042,0.0021380878,0.00005327941,0.000041813546,0.00021893025,0.0001475007,0.009589992],"genre_scores_gemma":[0.9974005,0.00038905963,0.00090184424,0.000036768775,0.00008829384,0.0000065430045,0.000054925466,0.000013552883,0.0011085487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99822515,0.001009287,0.00011499079,0.00020507615,0.00027316576,0.00017226343],"domain_scores_gemma":[0.8168968,0.1542471,0.018710732,0.0057215374,0.0032188992,0.0012049589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009614141,0.0003695121,0.0010556248,0.0014482739,0.00053242565,0.0049190014,0.0013256561,0.0022921818,0.0048570763],"category_scores_gemma":[0.09511427,0.00059819367,0.0006304405,0.0012963112,0.0016199233,0.0073007075,0.0009204654,0.0022342475,0.00044485106],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030721738,0.00069777697,0.13083129,0.00047222598,0.0008903098,0.0014010735,0.0021965825,0.20136511,0.0044226013,0.5435496,0.0068498626,0.104251355],"study_design_scores_gemma":[0.00013520192,0.00028017786,0.053842325,0.00008390844,0.00031038118,0.0007060064,0.00076041615,0.56434834,0.0022207089,0.3755378,0.0016623453,0.00011248457],"about_ca_topic_score_codex":0.001108311,"about_ca_topic_score_gemma":0.0007783274,"teacher_disagreement_score":0.009614141,"about_ca_system_score_codex":0.00071963546,"about_ca_system_score_gemma":0.0004333627,"threshold_uncertainty_score":0.050845027},"labels":[],"label_agreement":null},{"id":"W4232913924","doi":"10.2139/ssrn.1570342","title":"Measurement Error and the Cross-Sectional Test","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Test (biology); Statistics; Cross-sectional study; Mathematics; Geology","score_opus":0.024479286459053173,"score_gpt":0.22666905695712034,"score_spread":0.20218977049806716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232913924","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5199029,0.0056601036,0.43584424,0.009461793,0.001876805,0.00052019465,0.0035875705,0.00060144876,0.022544917],"genre_scores_gemma":[0.983303,0.0003492044,0.011176092,0.00045132567,0.0003222933,0.000279274,0.0010805634,0.0000706735,0.002967517],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.8378269,0.11980492,0.011361955,0.017411167,0.010377099,0.003217916],"domain_scores_gemma":[0.22863212,0.6990277,0.023101412,0.040561967,0.0070924624,0.0015842614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1431899,0.001171876,0.002358674,0.0037392285,0.0016567428,0.0046690563,0.0038677738,0.0050435956,0.010733496],"category_scores_gemma":[0.444041,0.00092569436,0.0028417164,0.0051203826,0.0056354012,0.0046377103,0.0030323626,0.004042654,0.0013956126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014284321,0.00052940677,0.7584397,0.0004986272,0.00846128,0.0012256446,0.0018267207,0.013759747,0.00062456774,0.14625302,0.0060603833,0.060892463],"study_design_scores_gemma":[0.0009815001,0.0018079025,0.514916,0.00082015037,0.0059211375,0.0035146915,0.0029035679,0.17079765,0.005240167,0.27593154,0.016764732,0.00040093833],"about_ca_topic_score_codex":0.0030842754,"about_ca_topic_score_gemma":0.0013550622,"teacher_disagreement_score":0.1431899,"about_ca_system_score_codex":0.0010582246,"about_ca_system_score_gemma":0.0016575784,"threshold_uncertainty_score":0.7572697},"labels":[],"label_agreement":null},{"id":"W4233449624","doi":"10.17771/pucrio.acad.25862","title":"INSTITUTIONAL OWNERSHIP AS A PREDICTOR OF FUTURE SECURITY RETURNS","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Institutional investor; Order (exchange); Quarter (Canadian coin); Investment (military); Actuarial science; Feature selection; Business; Selection (genetic algorithm); Econometrics; Finance; Computer science; Economics; Machine learning; Political science; Geography","score_opus":0.026921798065972877,"score_gpt":0.23783478715336356,"score_spread":0.2109129890873907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233449624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99821776,0.00006076355,0.0007681709,0.0000957222,0.0000047276344,0.0000029219148,0.00010050139,0.0000135688,0.00073575944],"genre_scores_gemma":[0.99946636,0.000039563165,0.00018337296,0.0000032425626,0.000005379776,0.0000011001039,0.00012212942,0.0000016689643,0.00017722728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996592,0.00013314476,0.000027323578,0.00004439278,0.00007659134,0.000059355625],"domain_scores_gemma":[0.99047875,0.0054164208,0.0022538996,0.0005310624,0.0006845463,0.0006353167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020147706,0.00022710269,0.00014290391,0.0008800917,0.00016591091,0.0010576678,0.00021135209,0.00029730014,0.0018668638],"category_scores_gemma":[0.013214209,0.00007876258,0.00022034548,0.0007551904,0.00037449936,0.0008830421,0.00052588875,0.0008222575,0.00036005382],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000979945,0.00008416012,0.977883,0.000006547571,0.000043695687,0.00007136715,0.000046538575,0.0077276677,0.00024613223,0.0007616503,0.00028339398,0.012747855],"study_design_scores_gemma":[0.000009140057,0.0001638097,0.88203454,0.000030268968,0.000039641764,0.000093325194,0.0002760173,0.11367729,0.0010054755,0.001973872,0.00068363885,0.000012917161],"about_ca_topic_score_codex":0.0037866444,"about_ca_topic_score_gemma":0.0028531256,"teacher_disagreement_score":0.0037866444,"about_ca_system_score_codex":0.00034248113,"about_ca_system_score_gemma":0.0003136021,"threshold_uncertainty_score":0.010655284},"labels":[],"label_agreement":null},{"id":"W4233866405","doi":"10.2139/ssrn.2316136","title":"Strategic Announcements by Star Analysts","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Star (game theory); Competition (biology); Rank (graph theory); Stock (firearms); Ranking (information retrieval); Cover (algebra); Business; Accounting; Economics; Actuarial science; Computer science; Geography; Engineering; Mathematics; Information retrieval","score_opus":0.017666566103961244,"score_gpt":0.2020020611404077,"score_spread":0.18433549503644645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233866405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73205143,0.0025665334,0.0057027224,0.02366425,0.0035419243,0.00016690393,0.00377545,0.0010024604,0.22752833],"genre_scores_gemma":[0.9745798,0.00061964063,0.00082670926,0.00086780946,0.0008094098,0.00002295937,0.001031571,0.00006368371,0.021178368],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9982495,0.0004990937,0.00010794616,0.00019884143,0.0006945433,0.00025011212],"domain_scores_gemma":[0.9772395,0.008707257,0.0062380307,0.001085076,0.0043532858,0.0023768665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002550517,0.00030729861,0.00027260857,0.0015282743,0.00068447855,0.0025931946,0.00023293456,0.0013237454,0.008132825],"category_scores_gemma":[0.026161984,0.00019484229,0.00020648174,0.0013302116,0.00024462666,0.0011724734,0.0008425227,0.0012592773,0.0034973545],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005025856,0.0004886991,0.22903624,0.00045783326,0.00027736241,0.0012531767,0.0040301247,0.003894312,0.009195175,0.056412134,0.43211478,0.25781423],"study_design_scores_gemma":[0.0006578911,0.0017058157,0.35260683,0.00031828586,0.0004105513,0.0010605215,0.012150543,0.03317304,0.0162596,0.04075639,0.5406123,0.00028824963],"about_ca_topic_score_codex":0.002382236,"about_ca_topic_score_gemma":0.0036213088,"teacher_disagreement_score":0.008132825,"about_ca_system_score_codex":0.0009608627,"about_ca_system_score_gemma":0.001131483,"threshold_uncertainty_score":0.027206957},"labels":[],"label_agreement":null},{"id":"W4233950822","doi":"10.2139/ssrn.1270990","title":"Do Subjective Expectations Explain Asset Pricing Puzzles?","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Capital asset pricing model; Financial economics; Economics; Asset (computer security); Actuarial science; Econometrics; Business; Computer science; Computer security","score_opus":0.02409192824259409,"score_gpt":0.22144407920404502,"score_spread":0.19735215096145092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233950822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93207544,0.0021474296,0.026504386,0.014797135,0.00029438856,0.00004729946,0.0008670659,0.0001792853,0.02308765],"genre_scores_gemma":[0.9962863,0.0005629057,0.00089188456,0.0005625724,0.00024654792,0.000015234106,0.00026264167,0.00004365671,0.0011282237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99956244,0.00015547704,0.00005449982,0.00006955359,0.0000887319,0.00006929301],"domain_scores_gemma":[0.9504092,0.03506776,0.0081373695,0.0034172381,0.0017495573,0.0012189366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047687613,0.000526712,0.0010204823,0.0010975039,0.00036703752,0.004045101,0.0012388533,0.002918589,0.01301162],"category_scores_gemma":[0.07542324,0.0007011506,0.0006902566,0.0012816015,0.0011485722,0.008336815,0.00095940224,0.0022493268,0.0018895377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027723033,0.0009867207,0.33453262,0.0008407667,0.001074808,0.0023805848,0.00496953,0.029007975,0.0031804142,0.46081692,0.019093342,0.14034395],"study_design_scores_gemma":[0.00034051322,0.00012579407,0.14262973,0.0001052121,0.0002134062,0.0005250581,0.0014465327,0.08941623,0.00044760128,0.76065785,0.0039771986,0.00011494606],"about_ca_topic_score_codex":0.0016475728,"about_ca_topic_score_gemma":0.0007441637,"teacher_disagreement_score":0.01301162,"about_ca_system_score_codex":0.00038827036,"about_ca_system_score_gemma":0.00033067152,"threshold_uncertainty_score":0.04352826},"labels":[],"label_agreement":null},{"id":"W4234047826","doi":"10.2139/ssrn.2022751","title":"Conditional Asset Pricing and Momentum","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Capital asset pricing model; Portfolio; Economics; Momentum (technical analysis); Econometrics; Financial economics; Asset (computer security); Point (geometry); Mathematics; Computer science","score_opus":0.016086696590057015,"score_gpt":0.20985109010654235,"score_spread":0.19376439351648533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234047826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83107644,0.0025260127,0.11651125,0.0066339835,0.0003110089,0.000023881505,0.0002502907,0.00029592213,0.042371202],"genre_scores_gemma":[0.9937528,0.0003700925,0.0011099885,0.000069555965,0.00015412105,0.000005761607,0.00006817044,0.000019655641,0.004449838],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966013,0.00010332187,0.000017736587,0.00007027278,0.00006814469,0.00008030501],"domain_scores_gemma":[0.9926542,0.0045921137,0.0010456522,0.0005529361,0.000489937,0.0006652239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016457167,0.00042540842,0.0006816559,0.00081223925,0.00053154485,0.0030617802,0.0005474313,0.0011688559,0.010172648],"category_scores_gemma":[0.019205878,0.00034801752,0.0005040658,0.0009131447,0.0018284329,0.0067483797,0.0010777797,0.0022627003,0.00041117158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011611037,0.00007222807,0.0059972787,0.000021928128,0.000032606764,0.00024090562,0.00013565515,0.009245384,0.00043963335,0.9705569,0.001783894,0.011357443],"study_design_scores_gemma":[0.000023901872,0.00002806676,0.005805079,0.000012419027,0.000022396756,0.00019491001,0.000061553415,0.0847318,0.00019594515,0.9080928,0.00080859027,0.000022513039],"about_ca_topic_score_codex":0.001998557,"about_ca_topic_score_gemma":0.0011586298,"teacher_disagreement_score":0.010172648,"about_ca_system_score_codex":0.00068895594,"about_ca_system_score_gemma":0.0005747229,"threshold_uncertainty_score":0.034030855},"labels":[],"label_agreement":null},{"id":"W4234053000","doi":"10.2139/ssrn.1008287","title":"The Term Structure of Bond Market Liquidity","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Market liquidity; Treasury; Bond; Bond market; Volatility (finance); Yield curve; Inflation (cosmology); Monetary economics; Monetary policy; Econometrics; Term (time); Financial economics; Interest rate; Finance","score_opus":0.009477776380254542,"score_gpt":0.20627837156181264,"score_spread":0.1968005951815581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234053000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95637345,0.0024476023,0.025891218,0.0020070309,0.000042952328,0.000016124153,0.00054086983,0.00012460095,0.012556121],"genre_scores_gemma":[0.9964432,0.00037662254,0.00074342266,0.000033536548,0.00008951167,0.0000067383335,0.00011820579,0.000022065842,0.0021666342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997383,0.00007689727,0.00001982127,0.000044451874,0.000072166964,0.000048351136],"domain_scores_gemma":[0.9915268,0.004874132,0.0018595123,0.00036525115,0.0008056689,0.0005686633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013739307,0.00025708045,0.00042581517,0.0016416337,0.00053419033,0.002827841,0.00081746536,0.0014365914,0.0033745752],"category_scores_gemma":[0.015610128,0.0005224085,0.0002568859,0.0013235549,0.0011363773,0.004300703,0.0008025408,0.0015974506,0.0006811325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006090738,0.00016038603,0.08056983,0.0001788125,0.00015206521,0.0011887269,0.0009309568,0.06297949,0.017015005,0.7935954,0.0056767724,0.036943525],"study_design_scores_gemma":[0.00009209513,0.00019311914,0.10061648,0.00008503018,0.00009478351,0.0008466371,0.00036628946,0.24440409,0.0019294849,0.6491164,0.002139697,0.00011586998],"about_ca_topic_score_codex":0.0012462611,"about_ca_topic_score_gemma":0.0014520724,"teacher_disagreement_score":0.0033745752,"about_ca_system_score_codex":0.0009032854,"about_ca_system_score_gemma":0.00038216327,"threshold_uncertainty_score":0.01128906},"labels":[],"label_agreement":null},{"id":"W4234126564","doi":"10.2139/ssrn.3956040","title":"Biased information transmission in investor social networks: Evidence from professional traders","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Information transmission; Transmission (telecommunications); Business; Financial economics; Economics; Computer science; Telecommunications; Computer network","score_opus":0.028807552220543414,"score_gpt":0.2275315078013916,"score_spread":0.1987239555808482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234126564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99397534,0.00020236234,0.00067528064,0.0005148071,0.0000055825776,0.000014218503,0.00012223584,0.0000054958805,0.004484656],"genre_scores_gemma":[0.9988951,0.0001888318,0.00019011891,0.00008072074,0.00001563575,0.000008369589,0.00008493776,0.0000034700956,0.00053282426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814045,0.0011396,0.00008942171,0.0002029835,0.00028227732,0.00014520361],"domain_scores_gemma":[0.88870543,0.08894984,0.013677559,0.004368993,0.0029612423,0.0013369155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004850595,0.00016236799,0.000335957,0.0009937916,0.0007574961,0.0019310942,0.000481982,0.0015750823,0.0061173025],"category_scores_gemma":[0.05933407,0.00028355364,0.00014527889,0.00092002517,0.001007036,0.0021958807,0.0009837366,0.0009916249,0.00096188666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030322843,0.0015008685,0.8600458,0.00033581807,0.00041782713,0.0009927815,0.02008722,0.0034708465,0.0038009707,0.013299907,0.003913017,0.08910272],"study_design_scores_gemma":[0.0006419096,0.0013107762,0.88547176,0.00027012787,0.0004962516,0.0020795353,0.020763408,0.027736573,0.0051646,0.04346647,0.012448686,0.00014991227],"about_ca_topic_score_codex":0.0030742823,"about_ca_topic_score_gemma":0.0021255568,"teacher_disagreement_score":0.0061173025,"about_ca_system_score_codex":0.0003161866,"about_ca_system_score_gemma":0.00027116135,"threshold_uncertainty_score":0.025652707},"labels":[],"label_agreement":null},{"id":"W4234516988","doi":"10.1092/eelu-rxfm-5v1f-tn4q","title":"The Separation Theorem, Investor \"Myopia\", and Market Prices: A Discussion of \"Do Institutional Investors Prefer Near-Term Earnings over Long-Run Value?\"","year":2001,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Term (time); Value (mathematics); Institutional investor; Business; Monetary economics; Financial economics; Economics; Accounting; Finance; Mathematics; Corporate governance; Statistics","score_opus":0.061807997050670846,"score_gpt":0.30305063961357787,"score_spread":0.241242642562907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234516988","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21673416,0.027685316,0.33773023,0.19566411,0.0012215573,0.000055103417,0.0003198402,0.00014302188,0.2204468],"genre_scores_gemma":[0.9680618,0.0056744874,0.0113052195,0.004686008,0.0017198884,0.000050800958,0.00004981078,0.000034130422,0.008418008],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99922144,0.00033997942,0.00003934298,0.00013369655,0.000164693,0.00010076711],"domain_scores_gemma":[0.9953793,0.0035251128,0.0005471433,0.0002590926,0.00017378072,0.00011554729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040679947,0.00039147394,0.0007786694,0.0006598378,0.00097407395,0.0027852524,0.0012375572,0.004250032,0.005766405],"category_scores_gemma":[0.011430613,0.00028089975,0.0006432643,0.001149594,0.0071233404,0.0069684032,0.0015474851,0.0038271914,0.00039194853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015695317,0.000008496821,0.00040999954,0.000020145846,0.000006703256,0.000033017815,0.000092592534,0.00046273295,0.00006437462,0.9934669,0.0015576273,0.0038616173],"study_design_scores_gemma":[0.000013962611,0.000006635482,0.00042440643,0.000013856277,0.0000051593915,0.000028747725,0.00005022244,0.0020311459,0.000048350477,0.9951721,0.0022000726,0.0000053883614],"about_ca_topic_score_codex":0.0011846991,"about_ca_topic_score_gemma":0.00090233143,"teacher_disagreement_score":0.005766405,"about_ca_system_score_codex":0.0012450378,"about_ca_system_score_gemma":0.0010243182,"threshold_uncertainty_score":0.02151388},"labels":[],"label_agreement":null},{"id":"W4235360262","doi":"10.52399/001c.33714","title":"Risk and Return of Merger Arbitrage in the UK 2001 to 2004","year":2007,"lang":"en","type":"article","venue":"Accounting Finance & Governance Review/Accounting finance & governance review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"Irish Research Council; Irish Research Council for the Humanities and Social Sciences","keywords":"Arbitrage; Risk arbitrage; Index arbitrage; Statistical arbitrage; Financial economics; Systematic risk; Convertible arbitrage; Equity (law); Portfolio; Economics; Risk–return spectrum; Stock (firearms); Trading strategy; Business; Econometrics; Arbitrage pricing theory; Capital asset pricing model; Geography","score_opus":0.016734013223648633,"score_gpt":0.24164154765333648,"score_spread":0.22490753442968786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235360262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974504,0.0003362514,0.00017713736,0.00016353137,0.000008538868,0.0000069399916,0.0009775913,0.000012986636,0.0008665568],"genre_scores_gemma":[0.99728537,0.00020736265,0.000077719174,0.000024607727,0.0000066634875,0.0000066453626,0.0016670211,0.0000049061837,0.0007196941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926263,0.00015067647,0.00011399056,0.00011977868,0.00024855672,0.0001042824],"domain_scores_gemma":[0.9933119,0.0013974735,0.003676719,0.0002889333,0.0011265613,0.00019850238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008381263,0.00023095199,0.00034794468,0.00090315583,0.0001897914,0.0011390217,0.00034140993,0.00090485404,0.0008638021],"category_scores_gemma":[0.014371909,0.00022062928,0.0003110645,0.001251849,0.00028157464,0.00074393116,0.0006043798,0.00043352507,0.00053391774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014063359,0.000085435764,0.93231463,0.000093323775,0.00021522262,0.0012475864,0.0009983671,0.03589217,0.0014868478,0.0013899216,0.004510774,0.02035946],"study_design_scores_gemma":[0.000057397814,0.00026216294,0.97637457,0.000037736034,0.00007665404,0.0006542932,0.00042886482,0.01652585,0.00095461984,0.0002781681,0.004299228,0.000050480554],"about_ca_topic_score_codex":0.053344592,"about_ca_topic_score_gemma":0.04133013,"teacher_disagreement_score":0.053344592,"about_ca_system_score_codex":0.0024137765,"about_ca_system_score_gemma":0.00040983246,"threshold_uncertainty_score":0.106068194},"labels":[],"label_agreement":null},{"id":"W4235500877","doi":"10.2139/ssrn.862444","title":"Sentiment Beta","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Stock (firearms); Volatility (finance); Market sentiment; Dividend; Economics; Econometrics; Sentiment analysis; Stock market; Financial economics; Computer science; Finance","score_opus":0.01026917459956272,"score_gpt":0.19067766805721167,"score_spread":0.18040849345764895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235500877","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15247503,0.0012246787,0.012452554,0.003711013,0.0011749378,0.00018583257,0.021080773,0.0015401706,0.8061549],"genre_scores_gemma":[0.68738824,0.0011611064,0.0017603958,0.0014027766,0.0013415323,0.00016661362,0.01654193,0.00047310337,0.2897643],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997018,0.000033578097,0.000015484116,0.00009101327,0.00010287272,0.000055260916],"domain_scores_gemma":[0.99902,0.00016047143,0.0001951488,0.00008913048,0.00040630475,0.00012887505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005581503,0.000694503,0.00039850833,0.0010171279,0.00032257332,0.0019160386,0.00032272405,0.0007148985,0.06964415],"category_scores_gemma":[0.0052790577,0.00019571258,0.000421466,0.0007116022,0.00020392354,0.0011747791,0.00040247603,0.00096128066,0.042895667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009294878,0.00029350404,0.09220052,0.00050452264,0.00039062518,0.00047274417,0.00048792214,0.0055676005,0.01440536,0.08313033,0.43441817,0.36719924],"study_design_scores_gemma":[0.00018921291,0.00059672556,0.45833883,0.0002603281,0.00037604404,0.0019350593,0.00054230704,0.03171722,0.010082939,0.065733835,0.4301127,0.00011488028],"about_ca_topic_score_codex":0.0014734041,"about_ca_topic_score_gemma":0.0009939853,"teacher_disagreement_score":0.06964415,"about_ca_system_score_codex":0.00072307925,"about_ca_system_score_gemma":0.0003030745,"threshold_uncertainty_score":0.23298287},"labels":[],"label_agreement":null},{"id":"W4235779780","doi":"10.2139/ssrn.1279693","title":"Common Effects in Imbalances and Returns: Style-Based Comovement and Flight-to-Quality","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Style (visual arts); Quality (philosophy); Economics; Monetary economics; International economics; Geography; Physics","score_opus":0.01747276287066676,"score_gpt":0.22977184070695095,"score_spread":0.21229907783628418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235779780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99556524,0.00019363836,0.0018006572,0.00023028725,0.000020775999,0.000020954529,0.0002614568,0.00004109746,0.0018658658],"genre_scores_gemma":[0.999064,0.000042439362,0.00016643005,0.000022433438,0.000029793913,0.0000041122908,0.00016712512,0.00000945243,0.0004941385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852765,0.00033517642,0.00017077554,0.00039288434,0.00026025958,0.00031328786],"domain_scores_gemma":[0.96685344,0.014426715,0.008858267,0.0043992302,0.0015149442,0.0039474177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034404148,0.00047069386,0.0012798943,0.0022531033,0.0005738321,0.0036524953,0.00076154346,0.0016388841,0.008457366],"category_scores_gemma":[0.023010807,0.00043518358,0.001267289,0.002306109,0.0013340458,0.0021609685,0.0021946232,0.0013643177,0.00084093417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010286662,0.0005227862,0.9623921,0.000058196485,0.0006351405,0.00034035195,0.00083614496,0.005294711,0.004164696,0.006032399,0.0007895788,0.017905282],"study_design_scores_gemma":[0.000049152306,0.00014221024,0.9792022,0.0000074270765,0.00012612714,0.00011216429,0.00030098733,0.0075294357,0.00030970585,0.011913212,0.00027778355,0.000029541476],"about_ca_topic_score_codex":0.0030154726,"about_ca_topic_score_gemma":0.0029384827,"teacher_disagreement_score":0.008457366,"about_ca_system_score_codex":0.00064987503,"about_ca_system_score_gemma":0.0004021851,"threshold_uncertainty_score":0.028292716},"labels":[],"label_agreement":null},{"id":"W4236982038","doi":"10.2139/ssrn.1108595","title":"Does Risk Aversion Vary During the Year? Evidence from Bid-Ask Spreads","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Ask price; Risk aversion (psychology); Bid price; Economics; Monetary economics; Financial economics; Econometrics; Expected utility hypothesis; Finance","score_opus":0.01536063052941469,"score_gpt":0.19194586644507663,"score_spread":0.17658523591566194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236982038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960479,0.00065224577,0.00028300655,0.00030167264,0.00001641966,0.0000067438677,0.00041542502,0.000008702255,0.0022679314],"genre_scores_gemma":[0.9979303,0.00044889835,0.00010299574,0.00007842268,0.000027669319,0.0000053368376,0.00045304038,0.000009307468,0.0009439665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993643,0.00020878794,0.00005155326,0.00010673459,0.0001256744,0.00014287353],"domain_scores_gemma":[0.9597571,0.019696135,0.013754217,0.0029441458,0.0012037251,0.0026446707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024786133,0.0003114966,0.0006142699,0.0010497461,0.00054375804,0.0021502748,0.0007602514,0.0013485092,0.006103327],"category_scores_gemma":[0.018889356,0.0005290706,0.0006089645,0.0014223726,0.00064640807,0.0014405093,0.0007229049,0.0015547555,0.0011163083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045918194,0.0009615967,0.96866244,0.00007265677,0.0004986579,0.00029590903,0.0010690385,0.0010848704,0.002720986,0.0021817507,0.0014503734,0.016409928],"study_design_scores_gemma":[0.000040879684,0.00027227055,0.99636096,0.000014168401,0.00008845081,0.00012307614,0.0002931172,0.000476147,0.00033210727,0.0010769443,0.0009025688,0.000019331033],"about_ca_topic_score_codex":0.0066148755,"about_ca_topic_score_gemma":0.0060636112,"teacher_disagreement_score":0.0066148755,"about_ca_system_score_codex":0.00029266466,"about_ca_system_score_gemma":0.00025772367,"threshold_uncertainty_score":0.02041769},"labels":[],"label_agreement":null},{"id":"W4237155153","doi":"10.2139/ssrn.1620034","title":"Liquidity Clienteles","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Business; Financial system; Financial economics; Economics; Monetary economics; Finance","score_opus":0.039242893171188606,"score_gpt":0.20508375020452838,"score_spread":0.16584085703333978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237155153","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29615664,0.002269828,0.004628926,0.012172367,0.00027190987,0.0002822065,0.0013674189,0.0010028121,0.68184793],"genre_scores_gemma":[0.6822179,0.00067416776,0.0010908803,0.0013811644,0.0003524205,0.00014139926,0.0005053113,0.00011745338,0.31351933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99846977,0.0002490188,0.00007693532,0.00018365367,0.00048275536,0.00053788576],"domain_scores_gemma":[0.9941549,0.0014082937,0.0011191955,0.00076502207,0.0010880344,0.0014645313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011950504,0.00037859153,0.0005512252,0.0033685346,0.0027747736,0.0074583697,0.00093860866,0.0020860068,0.14138749],"category_scores_gemma":[0.009447782,0.00032351236,0.00036788703,0.0017245347,0.0009459588,0.003305635,0.003166423,0.0025524928,0.028803041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012665011,0.0007382407,0.06414152,0.00034033056,0.00007031019,0.007090038,0.010170326,0.0008407532,0.004449044,0.43573412,0.1822914,0.29286742],"study_design_scores_gemma":[0.00035048122,0.00037932902,0.03580113,0.00068533514,0.00013753778,0.015020549,0.011280527,0.007796494,0.0056342557,0.16820173,0.7545223,0.00019032687],"about_ca_topic_score_codex":0.001381293,"about_ca_topic_score_gemma":0.0022823026,"teacher_disagreement_score":0.14138749,"about_ca_system_score_codex":0.0016793694,"about_ca_system_score_gemma":0.0017402023,"threshold_uncertainty_score":0.4729883},"labels":[],"label_agreement":null},{"id":"W4237215503","doi":"10.1504/ijdsrm.2019.106910","title":"The financial crisis effects on asset allocation: Markowitz theory vs. behavioural portfolio theory","year":2019,"lang":"en","type":"article","venue":"International Journal of Decision Sciences Risk and Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Modern portfolio theory; Economics; Asset allocation; Stock exchange; Risk aversion (psychology); Financial economics; Financial crisis; Asset (computer security); Market portfolio; Post-modern portfolio theory; Econometrics; Portfolio optimization; Expected utility hypothesis; Finance; Replicating portfolio; Computer science","score_opus":0.015364117664691822,"score_gpt":0.25504556113093857,"score_spread":0.23968144346624676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237215503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9101671,0.0040051546,0.049901664,0.004023042,0.00009138948,0.00006228982,0.00017406368,0.000053535965,0.031521734],"genre_scores_gemma":[0.99789894,0.00061660225,0.00088100164,0.00009870915,0.00004207756,0.000011580659,0.000022027825,0.000005539091,0.00042348454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99933124,0.00029176017,0.000040056984,0.00008017806,0.0001479398,0.00010884828],"domain_scores_gemma":[0.9954384,0.0029946964,0.0009157599,0.0002244898,0.00023198816,0.00019474387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022021176,0.0003111885,0.0006441483,0.0009194648,0.00020212732,0.0016401215,0.0004873243,0.00085665006,0.0034781282],"category_scores_gemma":[0.010252113,0.00017823919,0.0004821575,0.0007534013,0.0011575917,0.0018079395,0.0009813238,0.0009816403,0.00021854442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001813837,0.00058869855,0.22788055,0.0006143164,0.00047299778,0.0011419599,0.0020359277,0.109196834,0.005874683,0.503248,0.0029350633,0.14419718],"study_design_scores_gemma":[0.00017227905,0.00066826696,0.30596077,0.00015203006,0.00019776337,0.00039752774,0.001985687,0.18023947,0.0015253365,0.50479585,0.0038152619,0.00008976475],"about_ca_topic_score_codex":0.0023884245,"about_ca_topic_score_gemma":0.0012396283,"teacher_disagreement_score":0.0034781282,"about_ca_system_score_codex":0.00079977186,"about_ca_system_score_gemma":0.000406879,"threshold_uncertainty_score":0.011646092},"labels":[],"label_agreement":null},{"id":"W4237305467","doi":"10.1155/2017/1081585","title":"Nonlinear Problems: Mathematical Modeling, Analyzing, and Computing for Finance 2016","year":2017,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Science Foundation of Hunan Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Nonlinear system; Computer science; Physics","score_opus":0.03725180973607541,"score_gpt":0.23607786379798548,"score_spread":0.19882605406191006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237305467","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010996883,0.16664155,0.74156517,0.02007947,0.006670701,0.00009633021,0.00057809625,0.00054646947,0.05282539],"genre_scores_gemma":[0.25908735,0.18188469,0.42241603,0.0021540092,0.01596886,0.00045590475,0.001462995,0.00092002115,0.11565018],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917775,0.00024815425,0.000063463754,0.00015651506,0.0003158141,0.00003826575],"domain_scores_gemma":[0.9977234,0.0012874088,0.00015548283,0.00023481528,0.00045050427,0.00014834365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019677896,0.0013734951,0.0017006634,0.0011808403,0.0008353457,0.003576445,0.0010658518,0.0018376976,0.0077890954],"category_scores_gemma":[0.0059686685,0.00068663293,0.0010959312,0.0017739165,0.002671566,0.0041723023,0.002226871,0.0042281533,0.0023403862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085950865,0.00008582553,0.0009436323,0.00063192745,0.00008808988,0.00006578427,0.00022250881,0.050418686,0.0012127102,0.69224894,0.06656934,0.18742666],"study_design_scores_gemma":[0.000014448225,0.000038936985,0.00095959066,0.0002617295,0.000039291168,0.0001623207,0.00009797312,0.25578704,0.0006900216,0.65243274,0.089474194,0.00004166066],"about_ca_topic_score_codex":0.002907675,"about_ca_topic_score_gemma":0.002947743,"teacher_disagreement_score":0.0077890954,"about_ca_system_score_codex":0.0016521818,"about_ca_system_score_gemma":0.0019978466,"threshold_uncertainty_score":0.026057124},"labels":[],"label_agreement":null},{"id":"W4237356273","doi":"10.3386/w25084","title":"Lazy Prices","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Baxter International; National Science Foundation","keywords":"Earnings; Portfolio; Profitability index; Business; Asset (computer security); Accounting; Monetary economics; Financial economics; Economics; Finance","score_opus":0.48326224703720205,"score_gpt":0.483931010413405,"score_spread":0.0006687633762029743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237356273","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05971906,0.0033825084,0.15911658,0.008191579,0.0016244466,0.00020116687,0.008865845,0.0019153211,0.7569834],"genre_scores_gemma":[0.6990113,0.0026390308,0.021753456,0.0008983647,0.0015904036,0.00018395323,0.0061496506,0.000645675,0.2671281],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99880636,0.00013049481,0.00007130974,0.00027133126,0.00057596894,0.00014461551],"domain_scores_gemma":[0.99796766,0.00054275035,0.00044346537,0.00043483137,0.00045225787,0.00015896455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091565266,0.00044509087,0.00065044785,0.0021462506,0.00092191313,0.0056309616,0.00082793395,0.0011725002,0.08000525],"category_scores_gemma":[0.011817324,0.0002996389,0.0005031746,0.002528279,0.0009604274,0.005766725,0.0012346574,0.0015026696,0.022076394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008247378,0.000046914094,0.004440378,0.00006939235,0.000024411238,0.00018904901,0.00021275876,0.0017254963,0.0004106175,0.88394344,0.04600862,0.06284657],"study_design_scores_gemma":[0.000051895222,0.00006242494,0.005952737,0.00007257805,0.00002000224,0.0004631603,0.00023940971,0.014197449,0.0006148788,0.79286087,0.18542238,0.00004226091],"about_ca_topic_score_codex":0.0019507748,"about_ca_topic_score_gemma":0.0020331938,"teacher_disagreement_score":0.08000525,"about_ca_system_score_codex":0.0013356585,"about_ca_system_score_gemma":0.0010948151,"threshold_uncertainty_score":0.26764423},"labels":[],"label_agreement":null},{"id":"W4237768041","doi":"10.1002/9780470061602.eqf14002","title":"Style Analysis","year":2010,"lang":"en","type":"other","venue":"Encyclopedia of Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Style analysis; Style (visual arts); Returns-based style analysis; Portfolio; Consistency (knowledge bases); Investment style; Modern portfolio theory; Benchmark (surveying); Quality (philosophy); Selection (genetic algorithm); Computer science; Risk–return spectrum; Econometrics; Asset allocation; Economics; Financial economics; Artificial intelligence; Return on investment; Finance; Microeconomics; Geography; Investment fund","score_opus":0.02552725263175554,"score_gpt":0.2522528775076624,"score_spread":0.22672562487590686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237768041","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024484588,0.0016263745,0.37696454,0.0020698747,0.0018575854,0.0013402328,0.058802836,0.020070687,0.51278335],"genre_scores_gemma":[0.3524258,0.0025324817,0.2334794,0.0021536227,0.0018953831,0.0014337589,0.10694591,0.01046043,0.28867313],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99427843,0.0007213334,0.00042714403,0.0010429212,0.003118607,0.0004115242],"domain_scores_gemma":[0.99128246,0.0012657503,0.0005956969,0.0026679619,0.0038418397,0.00034624946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024117827,0.0013925497,0.00075746793,0.006662664,0.0015260848,0.007288649,0.0017110157,0.0008449423,0.11289291],"category_scores_gemma":[0.017510599,0.0004224567,0.0014911154,0.0056992886,0.00088433956,0.005775543,0.0031207306,0.0013179109,0.052491784],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031667043,0.00010155961,0.010109829,0.00040546243,0.00011783189,0.00027590423,0.0007245662,0.0029474918,0.0026073044,0.16577595,0.2576955,0.558922],"study_design_scores_gemma":[0.000039875773,0.000075017335,0.008021932,0.00023146532,0.00009500116,0.00078392855,0.0008261073,0.019557128,0.0047430373,0.1352047,0.83032364,0.00009812652],"about_ca_topic_score_codex":0.0023888042,"about_ca_topic_score_gemma":0.0015582896,"teacher_disagreement_score":0.11289291,"about_ca_system_score_codex":0.0016083332,"about_ca_system_score_gemma":0.001377078,"threshold_uncertainty_score":0.3776644},"labels":[],"label_agreement":null},{"id":"W4239049902","doi":"10.2139/ssrn.302013","title":"The Mysterious Growing Value of S&amp;P Index Membership","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Index fund; Index (typography); Search engine indexing; Portfolio; Arbitrage; Value (mathematics); Economics; Passive management; Financial economics; Econometrics; Sharpe ratio; Investment (military); Finance; Mathematics; Computer science; Institutional investor; Statistics; Corporate governance","score_opus":0.026049682935758732,"score_gpt":0.20703607825404544,"score_spread":0.1809863953182867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239049902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38729125,0.0076700095,0.024225106,0.25805444,0.0032342975,0.000025197842,0.0025789512,0.00057721214,0.31634355],"genre_scores_gemma":[0.9858766,0.0011528982,0.0015921105,0.002124728,0.0018447487,0.000010237966,0.00014065013,0.000070080256,0.0071878517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99875236,0.000277986,0.000055352673,0.0003034901,0.00049907964,0.000111730085],"domain_scores_gemma":[0.9778561,0.01043699,0.0025386678,0.002755075,0.00327646,0.0031367203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027576026,0.00011885969,0.00028740705,0.0018696862,0.001303713,0.0059378315,0.00103238,0.0019094261,0.013105067],"category_scores_gemma":[0.04716825,0.0001754964,0.00014240862,0.0021594781,0.004748802,0.012665467,0.0020934409,0.0029821072,0.0028222678],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000259023,0.000046955527,0.021916106,0.00010448921,0.000027608572,0.00020162,0.0013515172,0.0012307992,0.0013160153,0.6703024,0.061372876,0.2418706],"study_design_scores_gemma":[0.000037513226,0.000092269715,0.050738744,0.00019474981,0.000029639536,0.0006670541,0.0026209652,0.0064128223,0.0018642329,0.8018292,0.13546482,0.000048025235],"about_ca_topic_score_codex":0.0011362848,"about_ca_topic_score_gemma":0.0010801064,"teacher_disagreement_score":0.013105067,"about_ca_system_score_codex":0.0011979983,"about_ca_system_score_gemma":0.00077730307,"threshold_uncertainty_score":0.043840826},"labels":[],"label_agreement":null},{"id":"W4239236005","doi":"10.2139/ssrn.1100688","title":"Share Issuance and Cross-Sectional Returns: International Evidence","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Financial system; Economics; Monetary economics","score_opus":0.036560932424334586,"score_gpt":0.2768133900797861,"score_spread":0.24025245765545153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239236005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950177,0.0014018802,0.00018017559,0.00019652613,0.000010747377,0.0000057081447,0.00028809064,0.0000063641683,0.0028927762],"genre_scores_gemma":[0.99700576,0.0012381575,0.000068582354,0.000044654294,0.000045052275,0.000003059922,0.000649522,0.000005228371,0.0009399587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949026,0.00012491172,0.000073595365,0.00009187103,0.00012102241,0.00009829843],"domain_scores_gemma":[0.9702113,0.011112917,0.014071435,0.0022252547,0.0012453707,0.0011336774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019775718,0.00030512369,0.00042454936,0.0013347028,0.00044174175,0.001743602,0.0007479097,0.0009546398,0.007193229],"category_scores_gemma":[0.011304583,0.00031659353,0.00045621785,0.0026805562,0.0009929971,0.0017367558,0.00090501434,0.0009942941,0.0014624984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006365873,0.00027945486,0.9866723,0.00003932661,0.00021747533,0.0001832126,0.00035061088,0.00019328238,0.0003377108,0.0009538552,0.00029316632,0.009843076],"study_design_scores_gemma":[0.000032968946,0.00022502872,0.99580884,0.000023573599,0.00020156405,0.00032118434,0.00045240766,0.0002544114,0.0006210618,0.0008076904,0.0012407615,0.000010550349],"about_ca_topic_score_codex":0.0028677639,"about_ca_topic_score_gemma":0.0020762188,"teacher_disagreement_score":0.007193229,"about_ca_system_score_codex":0.00021977855,"about_ca_system_score_gemma":0.00020209358,"threshold_uncertainty_score":0.024063766},"labels":[],"label_agreement":null},{"id":"W4239447166","doi":"10.2139/ssrn.2121142","title":"Dynamic Consumption and Portfolio Choice Under Model and Parameter Uncertainty: Learning About Return Predictability","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Predictability; Portfolio; Econometrics; Economics; Consumption (sociology); Portfolio optimization; Computer science; Actuarial science; Financial economics; Statistics; Mathematics","score_opus":0.020736738749208908,"score_gpt":0.23671412114589702,"score_spread":0.21597738239668812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239447166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9120931,0.00038623007,0.08369161,0.0017760281,0.00002854512,0.000014933777,0.00024269788,0.00008849637,0.001678275],"genre_scores_gemma":[0.9967219,0.00020113528,0.002090366,0.00005407198,0.000025603547,0.000007957521,0.00014543906,0.000019648114,0.0007339591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993518,0.00027269017,0.000033263925,0.00018374508,0.00006533283,0.00009320241],"domain_scores_gemma":[0.98060846,0.015848698,0.0016897346,0.0011688793,0.0003437915,0.0003403791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034223967,0.00048783177,0.0011828176,0.0006337541,0.00028020298,0.0022242588,0.00084275316,0.0016790736,0.0022053667],"category_scores_gemma":[0.035194553,0.00071042485,0.0007662588,0.0007649696,0.001395117,0.0038354776,0.0011879778,0.0021910695,0.00021857089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077494077,0.00031933704,0.08416207,0.00013762692,0.00043885817,0.000656483,0.00043565422,0.77527684,0.0019348288,0.0903189,0.002247748,0.043296706],"study_design_scores_gemma":[0.000019422618,0.000046015153,0.010297092,0.000010157782,0.000023087705,0.00005953713,0.000044783286,0.9110091,0.00020952355,0.078109555,0.00014620072,0.000025534468],"about_ca_topic_score_codex":0.0030785967,"about_ca_topic_score_gemma":0.0025092212,"teacher_disagreement_score":0.0034223967,"about_ca_system_score_codex":0.0009644144,"about_ca_system_score_gemma":0.00045974963,"threshold_uncertainty_score":0.018099546},"labels":[],"label_agreement":null},{"id":"W4239486072","doi":"10.2139/ssrn.3958396","title":"The Effciency vs. Pricing Accuracy Trade-Off in GMM Estimation of Multifactor Linear Asset Pricing Models","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Capital asset pricing model; Consumption-based capital asset pricing model; Econometrics; Arbitrage pricing theory; Investment theory; Economics; Rational pricing; Variable pricing; Estimation; Financial economics; Business","score_opus":0.021264500291891062,"score_gpt":0.24034923652855913,"score_spread":0.21908473623666808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239486072","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41567823,0.007877024,0.55308217,0.011573617,0.00027929468,0.00011407829,0.0005185859,0.0009815472,0.0098955445],"genre_scores_gemma":[0.9503728,0.0016826635,0.044169772,0.00062303303,0.00042660756,0.00004123963,0.00040192984,0.00030167287,0.0019802416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97850776,0.017400667,0.0008557499,0.0011768116,0.0015915945,0.00046742972],"domain_scores_gemma":[0.640143,0.3467283,0.0046413983,0.0054880986,0.0025243715,0.00047485915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0350219,0.0011359644,0.0012620125,0.0019463421,0.00061906344,0.0037812612,0.0014272043,0.003273832,0.0022070326],"category_scores_gemma":[0.20281026,0.0011955582,0.00094539695,0.0017910558,0.0018784084,0.004561043,0.0029045797,0.0028382756,0.00072835194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022698801,0.00022380639,0.117104046,0.0009077473,0.0016441459,0.00097505463,0.0013187971,0.42090905,0.010223262,0.07293788,0.0039686756,0.36751762],"study_design_scores_gemma":[0.00018573039,0.00043823448,0.041442607,0.000257883,0.00060121465,0.0003880586,0.00025519234,0.8773058,0.007536747,0.069990516,0.0014460193,0.00015200318],"about_ca_topic_score_codex":0.003627108,"about_ca_topic_score_gemma":0.0035203092,"teacher_disagreement_score":0.0350219,"about_ca_system_score_codex":0.00092659495,"about_ca_system_score_gemma":0.0009208925,"threshold_uncertainty_score":0.18521571},"labels":[],"label_agreement":null},{"id":"W4239710548","doi":"10.2139/ssrn.1553500","title":"Prospect Theory, the Disposition Effect and Asset Prices","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Disposition effect; Disposition; Economics; Asset (computer security); Prospect theory; Financial economics; Actuarial science; Business; Econometrics; Microeconomics; Psychology; Geography; Computer science; Social psychology; Computer security","score_opus":0.004509407370309144,"score_gpt":0.1944895664350846,"score_spread":0.18998015906477547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239710548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74336654,0.013892195,0.15902896,0.01583735,0.00046723115,0.00009656513,0.00051175186,0.000108512926,0.06669083],"genre_scores_gemma":[0.9880769,0.004030096,0.0031409175,0.00020273998,0.00029585013,0.000025241132,0.0000947587,0.000007924189,0.0041254642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992823,0.00048773375,0.000025957586,0.00006330573,0.00007930434,0.000061340055],"domain_scores_gemma":[0.97610885,0.02005473,0.0019762432,0.0005984382,0.0005428518,0.00071888266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038742812,0.0005555715,0.001132563,0.0010448985,0.00049854536,0.0038057647,0.00064251985,0.0024421935,0.009860135],"category_scores_gemma":[0.025939219,0.00045153097,0.000471782,0.0013460021,0.002076231,0.0057291333,0.0010542916,0.0029029134,0.000585278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070827646,0.00027204741,0.014503578,0.0002571994,0.00014189561,0.00031464276,0.0002809761,0.04095381,0.00054775196,0.91357684,0.002790916,0.025652006],"study_design_scores_gemma":[0.00006736357,0.00008747083,0.004646301,0.000027140828,0.000036418678,0.000093431634,0.000085941036,0.029961724,0.000055776854,0.96423054,0.0006857625,0.00002212689],"about_ca_topic_score_codex":0.001052372,"about_ca_topic_score_gemma":0.0009461783,"teacher_disagreement_score":0.009860135,"about_ca_system_score_codex":0.00071209035,"about_ca_system_score_gemma":0.00058489485,"threshold_uncertainty_score":0.03298539},"labels":[],"label_agreement":null},{"id":"W4240873187","doi":"10.22215/etd/2003-05462","title":"Market reaction to inclusions and exclusions in the Toronto Stock Exchange 300 index","year":2003,"lang":"en","type":"dissertation","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Stock exchange; Stock market; Financial economics; Economics; History; Computer science; Finance; World Wide Web; Archaeology","score_opus":0.02653719936575722,"score_gpt":0.2511696090928696,"score_spread":0.2246324097271124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240873187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99235463,0.000075183525,0.00007492235,0.0007460047,0.000025020256,0.000015206192,0.00074435177,0.00001424725,0.00595023],"genre_scores_gemma":[0.9968471,0.000045030887,0.000041812356,0.000046314777,0.000027196507,0.0000042531783,0.00066137046,0.0000048917386,0.0023220514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993388,0.00008719496,0.000045465542,0.00006967066,0.0003282175,0.00013062802],"domain_scores_gemma":[0.98792285,0.0039409813,0.0041859355,0.000421251,0.0019213882,0.001607639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012982672,0.000132924,0.0003891625,0.000686437,0.00065677706,0.0024193907,0.00044354878,0.00087620213,0.0066681136],"category_scores_gemma":[0.014173766,0.00012896027,0.00018748522,0.000659968,0.0006429879,0.0008838413,0.001027523,0.0010869866,0.00074193074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0068720947,0.00066614116,0.88025296,0.00015037342,0.00023640732,0.0007652314,0.006525688,0.011565328,0.008807802,0.01928079,0.03217177,0.03270539],"study_design_scores_gemma":[0.00006499669,0.00014518863,0.97496355,0.000020819925,0.000050449107,0.000060274622,0.0035765795,0.012298239,0.0014243524,0.0028161262,0.004538946,0.00004054612],"about_ca_topic_score_codex":0.21312575,"about_ca_topic_score_gemma":0.28968552,"teacher_disagreement_score":0.78687423,"about_ca_system_score_codex":0.0030942159,"about_ca_system_score_gemma":0.0012945733,"threshold_uncertainty_score":0.4237705},"labels":[],"label_agreement":null},{"id":"W4240950770","doi":"10.24124/2011/bpgub1490","title":"Business cycles and profit warnings: over and under reaction of U.S. firms, according to size and industry 1995-2009","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Profit (economics); Monetary economics; Business; Business cycle; Warning signs; Economics; Advertising; Commerce; Financial economics; Microeconomics; Macroeconomics; Engineering","score_opus":0.027869182202656127,"score_gpt":0.23433181870149852,"score_spread":0.2064626364988424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240950770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99739957,0.00022243116,0.00002803628,0.00036728682,0.000011407873,0.0000044222725,0.0007057969,0.000003723806,0.0012573686],"genre_scores_gemma":[0.997965,0.00032749915,0.000022444005,0.00007369472,0.000023380957,0.0000030674846,0.00081568776,0.0000018719032,0.00076730613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997874,0.000034477926,0.00002630244,0.000035224322,0.000053135933,0.00006342253],"domain_scores_gemma":[0.9934722,0.000792702,0.004510572,0.0000968103,0.0006404542,0.00048729783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004597148,0.00018277796,0.00016907977,0.00083664147,0.00026770428,0.0010039642,0.0001818587,0.00044450662,0.001959162],"category_scores_gemma":[0.003807618,0.00011834794,0.00018052253,0.0012745678,0.00022168826,0.00058743235,0.0005494781,0.0005532738,0.0003150507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017474606,0.000058171998,0.99154186,0.000010294695,0.000041792206,0.00005264622,0.00038977494,0.00020192756,0.00017387881,0.00007741852,0.0010838492,0.0061934637],"study_design_scores_gemma":[0.0000017604726,0.000032344633,0.9984652,0.000005596308,0.000009804418,0.00001782269,0.0006249912,0.00022260279,0.00007326135,0.00002530097,0.00051786343,0.000003447443],"about_ca_topic_score_codex":0.031357907,"about_ca_topic_score_gemma":0.04810063,"teacher_disagreement_score":0.031357907,"about_ca_system_score_codex":0.00060218276,"about_ca_system_score_gemma":0.00026999402,"threshold_uncertainty_score":0.06235081},"labels":[],"label_agreement":null},{"id":"W4241037498","doi":"10.1007/s11294-008-9169-4","title":"On Optimal Instrumental Variables Generators: An Application to Hedge Funds Returns","year":2008,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais","funders":"","keywords":"Instrumental variable; Economics; Hedge fund; Hedge; Econometrics; Financial economics; Finance","score_opus":0.0692061477979784,"score_gpt":0.3468663787278075,"score_spread":0.2776602309298291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241037498","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039539738,0.0006557738,0.9914978,0.000932291,0.00013475174,0.00005524876,0.000062667954,0.00013265527,0.002574781],"genre_scores_gemma":[0.36585173,0.005423607,0.6014059,0.0010652103,0.0019694387,0.0008043812,0.0004617433,0.0007420455,0.022275982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99632865,0.0027040406,0.00011991946,0.00035670178,0.00034106435,0.00014953382],"domain_scores_gemma":[0.95839345,0.038167126,0.0009542668,0.0010945543,0.001030414,0.00036027652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013548499,0.002599532,0.0039783814,0.0020330197,0.0010385088,0.0028084472,0.0028418123,0.0050829803,0.0077169705],"category_scores_gemma":[0.05630071,0.0023837483,0.0019001521,0.0025892882,0.0055944514,0.0048968336,0.0051745726,0.0053494284,0.0008893886],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000161314,0.00011273826,0.0005678862,0.00021654944,0.0001559051,0.00024033425,0.00019593615,0.26404592,0.0006403866,0.6913328,0.004078564,0.038251683],"study_design_scores_gemma":[0.000090913956,0.000025935891,0.00009379738,0.000050207935,0.000028970962,0.000029469738,0.00001963559,0.4997092,0.00033523727,0.4979851,0.0016020945,0.000029578674],"about_ca_topic_score_codex":0.0023471217,"about_ca_topic_score_gemma":0.0028382486,"teacher_disagreement_score":0.013548499,"about_ca_system_score_codex":0.0012146559,"about_ca_system_score_gemma":0.003147481,"threshold_uncertainty_score":0.071652114},"labels":[],"label_agreement":null},{"id":"W4241103977","doi":"10.2139/ssrn.1741963","title":"Governance Mechanisms, Incentive Alignment, and Bond Market Reaction","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Corporate governance; Incentive; Business; Bond; Industrial organization; Bond market; Financial system; Finance; Market economy; Economics","score_opus":0.00727215914388306,"score_gpt":0.18957242263544644,"score_spread":0.18230026349156336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241103977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9590722,0.00032930536,0.018820608,0.0021473744,0.00007603282,0.00008102139,0.00009039064,0.000063077445,0.019320032],"genre_scores_gemma":[0.9982646,0.000057424157,0.0007043778,0.000065563996,0.000020096313,0.000012775152,0.000016944805,0.0000045543948,0.0008536646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990331,0.00041793994,0.0000826482,0.00016143628,0.00011134999,0.00019353261],"domain_scores_gemma":[0.9870155,0.005044923,0.0052454914,0.0009940306,0.00061251374,0.0010875874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045968997,0.0002023371,0.00055286323,0.00043445404,0.00038966516,0.002445089,0.00044212598,0.001704531,0.00746545],"category_scores_gemma":[0.022521175,0.0002671362,0.00024632327,0.0003786832,0.0008232449,0.0021489717,0.0007956628,0.0012331178,0.00041386354],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022860682,0.0015832896,0.1516152,0.00020255941,0.0003046097,0.0006411323,0.0011011091,0.04989406,0.01964213,0.70030856,0.006478163,0.06594312],"study_design_scores_gemma":[0.00086237834,0.00087918097,0.18029849,0.000056235043,0.00015848478,0.0003449104,0.0011119688,0.15416823,0.004486233,0.6518741,0.0056610764,0.00009871176],"about_ca_topic_score_codex":0.0006284108,"about_ca_topic_score_gemma":0.0005422821,"teacher_disagreement_score":0.00746545,"about_ca_system_score_codex":0.00067166274,"about_ca_system_score_gemma":0.00066653715,"threshold_uncertainty_score":0.024974406},"labels":[],"label_agreement":null},{"id":"W4241227739","doi":"10.1007/978-1-4419-7701-4_22","title":"Financial Economics, Time Variation in the Market Return","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Variation (astronomy); Economics; Financial economics; Finance; Business; Physics","score_opus":0.01889480819000358,"score_gpt":0.1770034228793323,"score_spread":0.1581086146893287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241227739","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04976864,0.5314238,0.11572516,0.0340943,0.0038790328,0.000052744355,0.0013489894,0.00032608863,0.26338118],"genre_scores_gemma":[0.5809112,0.24889438,0.013797882,0.0019133738,0.008097753,0.00007199948,0.0009942037,0.00017633007,0.14514293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998272,0.000051300267,0.000009412622,0.000039765855,0.000058520796,0.000013852823],"domain_scores_gemma":[0.99862134,0.0010452971,0.0001313726,0.00006293901,0.00010540462,0.000033630018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007702513,0.0006470319,0.0005674414,0.0011639843,0.0002737496,0.0021337506,0.0005575229,0.0015012416,0.006950667],"category_scores_gemma":[0.0051294975,0.00034184486,0.00025862877,0.0025875843,0.001059525,0.0030157422,0.00033705804,0.0015898893,0.000891384],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035243957,0.000057907037,0.0026662946,0.00022568043,0.000070768954,0.00017066277,0.00012134091,0.015692858,0.00048158102,0.84447646,0.048785016,0.08721623],"study_design_scores_gemma":[0.000009576801,0.000015835863,0.007062589,0.00009273028,0.000033061286,0.00020928105,0.00006553168,0.01047552,0.0001274386,0.92122805,0.060661174,0.000019205045],"about_ca_topic_score_codex":0.004758514,"about_ca_topic_score_gemma":0.0032247275,"teacher_disagreement_score":0.006950667,"about_ca_system_score_codex":0.0012644021,"about_ca_system_score_gemma":0.00055507955,"threshold_uncertainty_score":0.023252308},"labels":[],"label_agreement":null},{"id":"W4242284952","doi":"10.2139/ssrn.1452674","title":"Hedge Fund Predictability under the Magnifying Glass: Forecasting Individual Fund Returns Using Multiple Predictors","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Predictability; Hedge fund; Returns-based style analysis; Business; Actuarial science; Finance; Economics; Econometrics; Investment fund; Fund administration; Mathematics; Market liquidity; Statistics","score_opus":0.09572636600675974,"score_gpt":0.2518268920095644,"score_spread":0.15610052600280463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242284952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99067515,0.00030995152,0.008393097,0.00018620436,0.0000329099,0.0000048349307,0.00006763029,0.00004396169,0.00028628754],"genre_scores_gemma":[0.99888104,0.000092251954,0.0007594836,0.0000125469405,0.000046574838,0.0000020187397,0.00007047972,0.000003758404,0.00013178501],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995982,0.00012522018,0.000026359003,0.00010622719,0.00006252796,0.00008152896],"domain_scores_gemma":[0.9952099,0.0032154606,0.0007362786,0.00036847897,0.00022512148,0.0002447369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028937717,0.00068551255,0.0011836974,0.0010640266,0.00036439789,0.0011697521,0.00052449584,0.0009402824,0.0003979662],"category_scores_gemma":[0.009796708,0.00039658597,0.0005726789,0.0008979839,0.00040646747,0.0011085633,0.0006343528,0.0011753164,0.00010779547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011801312,0.00028557284,0.4265098,0.00004014501,0.000514941,0.0004410179,0.00022520308,0.47290665,0.0024423846,0.0030250899,0.0020555165,0.09037359],"study_design_scores_gemma":[0.000015040669,0.00008071698,0.051386714,0.0000074094187,0.00006662768,0.000042930486,0.000026643816,0.9452544,0.0004188618,0.0025937252,0.0000902528,0.000016659464],"about_ca_topic_score_codex":0.008679628,"about_ca_topic_score_gemma":0.0073226537,"teacher_disagreement_score":0.008679628,"about_ca_system_score_codex":0.00029825064,"about_ca_system_score_gemma":0.00043586275,"threshold_uncertainty_score":0.017258227},"labels":[],"label_agreement":null},{"id":"W4243208666","doi":"10.24124/2014/bpgub978","title":"Technical analysis of ETF portfolio rebalancing strategy.","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Michigan","keywords":"Portfolio; Technical analysis; Multiplier (economics); Stock exchange; Order (exchange); Index (typography); Computer science; Econometrics; Economics; Financial economics; Finance; Macroeconomics","score_opus":0.021168900371648484,"score_gpt":0.24167855903501137,"score_spread":0.2205096586633629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243208666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08470718,0.0020232412,0.85184824,0.0009899556,0.00021524241,0.00054588955,0.00035322603,0.0005857302,0.05873131],"genre_scores_gemma":[0.7168107,0.001775307,0.25100937,0.00018478229,0.00014358274,0.00032526322,0.000727686,0.000081537815,0.028941771],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988116,0.00020975385,0.00008414052,0.0001761868,0.0006302195,0.00008802777],"domain_scores_gemma":[0.9983309,0.00059749506,0.00020228646,0.00019405282,0.0006320632,0.00004321867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001603551,0.0006908818,0.00033229115,0.0011147583,0.00035055925,0.0013116872,0.0007342037,0.00048310272,0.006571548],"category_scores_gemma":[0.0045865607,0.00019657642,0.0005300122,0.00075045234,0.00027558111,0.0018620872,0.0005859757,0.00066996505,0.0014138422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021317619,0.00023115241,0.008646862,0.00031128418,0.00007397445,0.00032962047,0.00017516976,0.12089772,0.020715334,0.09609991,0.006830319,0.7454755],"study_design_scores_gemma":[0.00006365049,0.0006116321,0.01068189,0.000113915215,0.00009037004,0.0012258036,0.00021599051,0.8724935,0.034989648,0.050100718,0.029346239,0.00006657872],"about_ca_topic_score_codex":0.0014444084,"about_ca_topic_score_gemma":0.0011570746,"teacher_disagreement_score":0.006571548,"about_ca_system_score_codex":0.0009785608,"about_ca_system_score_gemma":0.00124833,"threshold_uncertainty_score":0.02198404},"labels":[],"label_agreement":null},{"id":"W4243402391","doi":"10.1092/1c8g-xvcn-9qqm-0gep","title":"On Constructing an EPS Measure: An Assessment of the Properties of Dilution","year":2000,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Treasury; Earnings; Stock (firearms); Earnings per share; Econometrics; Economics; Earnings yield; Financial economics; Business; Accounting; Price–earnings ratio; Geography","score_opus":0.15565481704791254,"score_gpt":0.32798650601662277,"score_spread":0.17233168896871023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243402391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5232036,0.0019596375,0.46623653,0.0005084721,0.000106228,0.00028562837,0.0003360962,0.00061424467,0.0067496304],"genre_scores_gemma":[0.84701705,0.00076051947,0.15050167,0.00013678445,0.0001753947,0.00010629383,0.0004066249,0.00020875807,0.0006868791],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99140406,0.0037841846,0.0006657986,0.0007754234,0.003103213,0.00026730352],"domain_scores_gemma":[0.7435749,0.22409654,0.007932265,0.013516518,0.009930085,0.0009496414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023080353,0.0010297544,0.0010533099,0.006013763,0.0006101551,0.002866511,0.0010367404,0.001300608,0.0013150314],"category_scores_gemma":[0.21285546,0.0004072659,0.00064925005,0.003258058,0.0022789033,0.0069227736,0.0023754383,0.0010858781,0.0003506884],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019532223,0.00026685206,0.16306078,0.00062619965,0.0005555222,0.0007021887,0.0017170991,0.22895621,0.019578747,0.08041,0.0018366982,0.50033647],"study_design_scores_gemma":[0.00009715224,0.0009579332,0.046577632,0.00025925034,0.00014843787,0.0011261086,0.00035308464,0.856693,0.03496321,0.05510612,0.0035007545,0.00021732562],"about_ca_topic_score_codex":0.0011294204,"about_ca_topic_score_gemma":0.00060328835,"teacher_disagreement_score":0.023080353,"about_ca_system_score_codex":0.00096564,"about_ca_system_score_gemma":0.0006338219,"threshold_uncertainty_score":0.12206203},"labels":[],"label_agreement":null},{"id":"W4244024143","doi":"10.2139/ssrn.1268137","title":"Does the Stock Market See a Zero or Small Positive Earnings Surprise as a Red Flag?","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Flag (linear algebra); Earnings surprise; Surprise; Earnings; Stock market; Financial economics; Economics; Financial crisis; Stock exchange; Monetary economics; Business; Financial system; Post-earnings-announcement drift; Earnings per share; Geography; Finance; Mathematics; Keynesian economics; Psychology","score_opus":0.016269487325768932,"score_gpt":0.20149767640348562,"score_spread":0.18522818907771668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244024143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71238923,0.005017609,0.003690763,0.14780983,0.0050649336,0.000022324451,0.000903422,0.00018067853,0.12492126],"genre_scores_gemma":[0.98855513,0.00086812786,0.00024224323,0.0052131577,0.0012153643,0.0000032445166,0.00010250701,0.0000190246,0.0037812823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995951,0.0000949856,0.000025366828,0.000053759322,0.00015476714,0.00007594994],"domain_scores_gemma":[0.9931096,0.0026423645,0.0023686588,0.0003290846,0.00085337897,0.00069696974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018010254,0.00015248454,0.00032266192,0.0005678775,0.00047487576,0.0018785122,0.00038439283,0.0019055479,0.008473793],"category_scores_gemma":[0.018339584,0.000095185635,0.00021959422,0.00037782983,0.0011423358,0.0024978563,0.00054778514,0.0014671177,0.001554589],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030769329,0.00056497735,0.3304233,0.00037329795,0.00034986826,0.002373228,0.0011642067,0.0010857574,0.0035578923,0.15975828,0.16795464,0.32931766],"study_design_scores_gemma":[0.00028536093,0.00084567553,0.50196576,0.00036762562,0.00034579457,0.0022661837,0.008203701,0.008178321,0.0052740024,0.37673604,0.09538228,0.00014929296],"about_ca_topic_score_codex":0.0014757421,"about_ca_topic_score_gemma":0.001657703,"teacher_disagreement_score":0.008473793,"about_ca_system_score_codex":0.00045062817,"about_ca_system_score_gemma":0.00048726826,"threshold_uncertainty_score":0.028347611},"labels":[],"label_agreement":null},{"id":"W4244213491","doi":"10.2139/ssrn.966688","title":"Estimating the Ex Ante Equity Premium","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University; University of British Columbia","funders":"","keywords":"Ex-ante; Equity (law); Economics; Business; Financial economics; Econometrics; Macroeconomics; Political science","score_opus":0.02545288865258181,"score_gpt":0.25383635559175866,"score_spread":0.22838346693917685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244213491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91123015,0.00026533392,0.085118,0.000503481,0.000027814727,0.000022496028,0.00030666412,0.00024149347,0.002284576],"genre_scores_gemma":[0.9871199,0.00008707472,0.010986563,0.00001553903,0.000039953822,0.000006328821,0.00026357407,0.000013447744,0.001467601],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996706,0.00013185511,0.000015277901,0.00007768872,0.000043993405,0.00006060914],"domain_scores_gemma":[0.9952858,0.0038639603,0.0003177572,0.0002366186,0.00014898094,0.00014690246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022277844,0.0005912734,0.00065830833,0.0008168073,0.00021978335,0.0013626394,0.0006382418,0.0013502429,0.0029252672],"category_scores_gemma":[0.009531062,0.0006331128,0.00034938863,0.00042184285,0.00031135944,0.0013406153,0.00073771365,0.0011034218,0.00052992883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011523708,0.000762944,0.25044096,0.00012017649,0.00040778817,0.0006978034,0.00020163745,0.5536812,0.00919936,0.032261755,0.0025326663,0.14854138],"study_design_scores_gemma":[0.00003212649,0.00008773589,0.016619626,0.0000058818687,0.000026733498,0.00008411247,0.000036428533,0.9727534,0.001822067,0.008284911,0.0002362347,0.000010827134],"about_ca_topic_score_codex":0.0034771797,"about_ca_topic_score_gemma":0.0037168004,"teacher_disagreement_score":0.0034771797,"about_ca_system_score_codex":0.00057555584,"about_ca_system_score_gemma":0.00060955907,"threshold_uncertainty_score":0.011781812},"labels":[],"label_agreement":null},{"id":"W4244346014","doi":"10.2139/ssrn.3263001","title":"Arbitrage Portfolios in Large Panels","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Arbitrage; Business; Limits to arbitrage; Financial economics; Economics; Monetary economics","score_opus":0.015408524985435575,"score_gpt":0.2190742277271943,"score_spread":0.20366570274175871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244346014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7366982,0.0026750967,0.24599105,0.0025784024,0.00012752658,0.00009677481,0.0007611348,0.000530007,0.010541804],"genre_scores_gemma":[0.98138714,0.0005709308,0.0059814407,0.00011005581,0.00013029117,0.000054544947,0.0005527672,0.000045124834,0.0111677265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984805,0.00080388034,0.000086377324,0.00028737,0.0001527374,0.00018916915],"domain_scores_gemma":[0.9664646,0.027262116,0.0028283664,0.0015954192,0.0006088643,0.0012406376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006876512,0.0007076538,0.0018622626,0.00153385,0.0006318011,0.003758596,0.0012695204,0.0029480206,0.008921076],"category_scores_gemma":[0.041060284,0.00121327,0.00085934956,0.0014197234,0.0012920935,0.0060468656,0.0020979114,0.0018590123,0.001156902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094572,0.00037142044,0.06062608,0.00035457095,0.0008283094,0.0029752895,0.00085325167,0.526015,0.0022328123,0.3195893,0.009531968,0.075676374],"study_design_scores_gemma":[0.00008785442,0.00012342617,0.012720487,0.00005161524,0.00013034462,0.00026235517,0.00019873136,0.7254994,0.0004809182,0.25917813,0.0012205088,0.00004619045],"about_ca_topic_score_codex":0.0015564339,"about_ca_topic_score_gemma":0.0017531225,"teacher_disagreement_score":0.008921076,"about_ca_system_score_codex":0.0005032929,"about_ca_system_score_gemma":0.00043310417,"threshold_uncertainty_score":0.03636694},"labels":[],"label_agreement":null},{"id":"W4244820955","doi":"10.2139/ssrn.641682","title":"Lazy Investors, Discretionary Consumption, and the Cross Section of Stock Returns","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Stock (firearms); Business; Section (typography); Consumption (sociology); Economics; Financial system; Monetary economics; Financial economics; Geography; Advertising","score_opus":0.01696458863124664,"score_gpt":0.22687441903867012,"score_spread":0.20990983040742348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244820955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99628854,0.0006603361,0.0012467752,0.0004239759,0.000008552166,0.0000053757744,0.000057286874,0.000015550677,0.00129359],"genre_scores_gemma":[0.99837506,0.00026315867,0.00009760458,0.000032761072,0.000037492366,0.000002372609,0.000053047515,0.000004316125,0.0011341155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997309,0.00006763161,0.000028459028,0.00005149334,0.000039979255,0.00008154079],"domain_scores_gemma":[0.9784386,0.0111269085,0.007210316,0.0011075066,0.0003630884,0.0017536121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002436393,0.00023797901,0.00056791754,0.0009352752,0.00047544242,0.0023970592,0.0004909217,0.0014074,0.0046207984],"category_scores_gemma":[0.013137323,0.00034988546,0.00037313963,0.0008572821,0.0012321298,0.0022876323,0.0008105599,0.0011931037,0.00042527154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001001701,0.00030639494,0.9429511,0.000055749624,0.00038926545,0.0007130108,0.00072215655,0.009047056,0.0019691365,0.024178479,0.0008876627,0.017778307],"study_design_scores_gemma":[0.0001129334,0.00024378937,0.90908784,0.000032126274,0.00023511678,0.00054218835,0.00069823425,0.02683555,0.0007243909,0.060595848,0.00082251383,0.00006938873],"about_ca_topic_score_codex":0.004151713,"about_ca_topic_score_gemma":0.0065650637,"teacher_disagreement_score":0.0046207984,"about_ca_system_score_codex":0.0007176002,"about_ca_system_score_gemma":0.00031409698,"threshold_uncertainty_score":0.015458107},"labels":[],"label_agreement":null},{"id":"W4244860080","doi":"10.2139/ssrn.911512","title":"1/N","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Portfolio; Econometrics; Sharpe ratio; Diversification (marketing strategy); Mean squared error; Benchmark (surveying); Estimation; Statistics; Portfolio optimization; Sample (material); Computer science; Economics; Mathematics; Finance","score_opus":0.010249096321040999,"score_gpt":0.18547446846379426,"score_spread":0.17522537214275324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244860080","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007437439,0.00051046227,0.0007690239,0.0015037443,0.0020389867,0.000076060795,0.0009752188,0.00048060765,0.9929021],"genre_scores_gemma":[0.0048286207,0.0007664551,0.0008497557,0.0012995615,0.00042051217,0.00009479032,0.001247168,0.00044138698,0.9900518],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989773,0.00011298129,0.000054875745,0.00026586367,0.0003884686,0.00020056142],"domain_scores_gemma":[0.9981604,0.00022661101,0.00009059934,0.00046087164,0.0006692355,0.00039234824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090393506,0.0010999275,0.0008799373,0.0035417697,0.0018867905,0.004471438,0.0017115208,0.0022511263,0.89152783],"category_scores_gemma":[0.0046472447,0.00027001667,0.001010997,0.0015955915,0.0010013393,0.0020116398,0.0034223609,0.0015517178,0.86639315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015248022,0.00013380537,0.0005767559,0.0004149624,0.000021951928,0.00016844527,0.00007237897,0.00015161095,0.0027728288,0.01614034,0.6481103,0.3312841],"study_design_scores_gemma":[0.000017765491,0.000025160385,0.0005416665,0.00028842606,0.00001134749,0.00028141277,0.00007022589,0.00011657456,0.00059536006,0.0027133806,0.9953301,0.000008631135],"about_ca_topic_score_codex":0.002137192,"about_ca_topic_score_gemma":0.00244219,"teacher_disagreement_score":0.89152783,"about_ca_system_score_codex":0.0017432775,"about_ca_system_score_gemma":0.0017358953,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4246242315","doi":"10.2139/ssrn.1698208","title":"The Term Structure of Implied Costs of Equity Capital","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital structure; Economics; Term (time); Equity (law); Econometrics; Implicit cost; Yield curve; Cost of capital; Risk premium; Earnings; Equity risk; Stock (firearms); Financial economics; Monetary economics; Microeconomics; Interest rate; Finance; Private equity; Total cost","score_opus":0.021312505451125244,"score_gpt":0.22004196038777893,"score_spread":0.19872945493665367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246242315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78845376,0.002901364,0.16547775,0.0048126793,0.00017892939,0.00006529818,0.0018458606,0.00038862042,0.035875633],"genre_scores_gemma":[0.9845382,0.0007813557,0.005296829,0.00007842029,0.00015540847,0.000031728836,0.00045247478,0.00006457232,0.008601112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99926764,0.00016304325,0.000058788064,0.00012785506,0.00025560442,0.00012694106],"domain_scores_gemma":[0.9813634,0.013708869,0.0021139558,0.0011255469,0.0011921495,0.00049616507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002247428,0.00054561166,0.0006614759,0.0014713949,0.0003957419,0.0035273419,0.0018143436,0.0024976388,0.00820717],"category_scores_gemma":[0.034711856,0.0008000905,0.0005279927,0.0017004367,0.0012371594,0.006389647,0.00090084015,0.0030169038,0.0007039607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015320946,0.000067981484,0.013001603,0.00018008708,0.000068400426,0.0004922917,0.00026293658,0.15127681,0.003557357,0.8024186,0.0038466915,0.02467419],"study_design_scores_gemma":[0.00003225114,0.000047169116,0.020945145,0.000092095564,0.000074735406,0.0005336723,0.000120258424,0.43741125,0.001467198,0.5372682,0.0019324267,0.00007562928],"about_ca_topic_score_codex":0.0023143466,"about_ca_topic_score_gemma":0.002673226,"teacher_disagreement_score":0.00820717,"about_ca_system_score_codex":0.0021312565,"about_ca_system_score_gemma":0.0009087689,"threshold_uncertainty_score":0.027455747},"labels":[],"label_agreement":null},{"id":"W4246354662","doi":"10.1007/978-3-7908-2660-9_8","title":"Summary","year":2004,"lang":"en","type":"book-chapter","venue":"ZEW economic studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Geometric Brownian motion; Economics; Econometrics; Mathematical economics; Brownian motion; Asset (computer security); Capital asset pricing model; Stochastic discount factor; Financial economics; Mathematics; Computer science; Diffusion process; Economy; Statistics","score_opus":0.06442952543448002,"score_gpt":0.23367079781811753,"score_spread":0.1692412723836375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246354662","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016690538,0.0181997,0.004269861,0.021154577,0.024280332,0.00017904294,0.0038599507,0.0005317784,0.92585576],"genre_scores_gemma":[0.006625437,0.007609385,0.0011398401,0.005057069,0.003197625,0.000075825876,0.0021663157,0.000136971,0.9739915],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954647,0.000057427038,0.000025291149,0.00010230253,0.00020747831,0.0000611011],"domain_scores_gemma":[0.99921846,0.000107924265,0.000041792522,0.00010247155,0.00039380044,0.00013555688],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047462666,0.00053378695,0.00046574796,0.0010905078,0.0012922469,0.0034052038,0.0010079406,0.0013475342,0.37972286],"category_scores_gemma":[0.002241543,0.00018008861,0.00034235627,0.0014520993,0.000426972,0.0025072405,0.0018157077,0.0014127648,0.26313835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032331023,0.000027214315,0.00020916076,0.00021880199,0.0000032899331,0.00007753096,0.00013624714,0.00014414947,0.00021221401,0.04597587,0.79619896,0.15676427],"study_design_scores_gemma":[0.0000014624239,0.00000877287,0.00018367729,0.000076533994,0.0000010688063,0.000049518978,0.000055970402,0.000020691283,0.000052581232,0.0031535684,0.9963941,0.0000020772138],"about_ca_topic_score_codex":0.0023482498,"about_ca_topic_score_gemma":0.0030488071,"teacher_disagreement_score":0.62027717,"about_ca_system_score_codex":0.0014152545,"about_ca_system_score_gemma":0.0015955855,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4246798442","doi":"10.2139/ssrn.2020024","title":"Variance Risk Premium and Cross-Section of Stock Returns","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stock (firearms); Variance risk premium; Risk premium; Economics; Econometrics; Variance (accounting); Volatility risk premium; Financial economics; Mathematics; Volatility (finance); Geography; Stochastic volatility; Accounting","score_opus":0.01553920661750099,"score_gpt":0.22576931085628757,"score_spread":0.21023010423878657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246798442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98856413,0.00094332715,0.008112422,0.00047211788,0.000024270754,0.000007278859,0.00015396616,0.000084577005,0.0016379707],"genre_scores_gemma":[0.9981669,0.00023176134,0.00034140635,0.000026687105,0.00005442788,0.000002635136,0.0001449084,0.000011302165,0.0010199853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995672,0.000111942245,0.00003699079,0.00010258447,0.00007695527,0.00010436522],"domain_scores_gemma":[0.9801412,0.013768199,0.0029714121,0.0011753631,0.0008443395,0.0010995902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028228532,0.00041623137,0.0005435681,0.0014254657,0.00021228474,0.0019098098,0.00056327094,0.0015682299,0.0054214383],"category_scores_gemma":[0.017536433,0.00041399573,0.00083856215,0.0009617011,0.0005569118,0.0018436181,0.000843356,0.001287796,0.0008369225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085938827,0.00041152755,0.8624081,0.00010308351,0.0011576101,0.0014583117,0.0006058136,0.044750012,0.010822535,0.05060828,0.0017397817,0.025075475],"study_design_scores_gemma":[0.000046549092,0.00021044495,0.7650425,0.000043344397,0.00038747082,0.0011148984,0.00026954862,0.17283471,0.0019543727,0.05726827,0.0007316963,0.0000962052],"about_ca_topic_score_codex":0.002196346,"about_ca_topic_score_gemma":0.002010076,"teacher_disagreement_score":0.0054214383,"about_ca_system_score_codex":0.0004396983,"about_ca_system_score_gemma":0.00028340067,"threshold_uncertainty_score":0.018136501},"labels":[],"label_agreement":null},{"id":"W4246938855","doi":"10.1002/9781119196839.index","title":"Index","year":2012,"lang":"ca","type":"paratext","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Computer science; World Wide Web","score_opus":0.03793757099669046,"score_gpt":0.22816622554123717,"score_spread":0.1902286545445467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246938855","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00046919932,0.00085563096,0.00135687,0.0027489278,0.0043499046,0.00021785476,0.023363503,0.0017536168,0.9648846],"genre_scores_gemma":[0.0020255928,0.00083075167,0.0009772207,0.00082269637,0.0009727094,0.00013239114,0.014847182,0.0005675333,0.9788238],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987325,0.00009193122,0.00010366946,0.00020471969,0.0007379977,0.00012915191],"domain_scores_gemma":[0.9965863,0.00027885148,0.0001381031,0.00041136437,0.0020893763,0.0004960627],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007766985,0.0011065876,0.00088590576,0.003934407,0.0015864454,0.006111104,0.0016274258,0.0013332766,0.78989846],"category_scores_gemma":[0.005743111,0.00036309546,0.000549265,0.0048343698,0.0003903552,0.0043389034,0.0020389364,0.0014013689,0.7466003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015366428,0.00001679229,0.00018186854,0.00006493918,0.0000014075533,0.00001528451,0.000019234341,0.00003551817,0.00007505491,0.0032306372,0.9391767,0.057167206],"study_design_scores_gemma":[0.0000036689755,0.00000852072,0.00039169905,0.00004957947,0.0000010060934,0.000027507243,0.000032542375,0.000043032032,0.000060938848,0.0012377469,0.99814045,0.000003387615],"about_ca_topic_score_codex":0.0045272345,"about_ca_topic_score_gemma":0.0055913804,"teacher_disagreement_score":0.21010154,"about_ca_system_score_codex":0.0019164855,"about_ca_system_score_gemma":0.0021155605,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4246963882","doi":"10.33423/jabe.v21i5.2264","title":"Forward and Reverse Stock Splits: A Test of Market Efficiency","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Stock market; Financial economics; Event study; Business; Market efficiency; Economics; Stock price; Econometrics; Monetary economics; Efficient-market hypothesis; Series (stratigraphy)","score_opus":0.011617007188401257,"score_gpt":0.17795049976234037,"score_spread":0.16633349257393912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246963882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868646,0.000041905314,0.009699112,0.000053701988,0.000009588558,0.00011997518,0.00013598366,0.000027987007,0.0030470982],"genre_scores_gemma":[0.997883,0.000010569401,0.0014738473,0.000019633762,0.000016923423,0.000046691388,0.00019477433,0.000008990046,0.000345514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99212974,0.0033033271,0.0009945495,0.0012685144,0.0017525962,0.0005512856],"domain_scores_gemma":[0.81398153,0.1572067,0.014319837,0.010016745,0.002630451,0.0018446802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016582187,0.00038887694,0.00070747815,0.0013155212,0.0002852328,0.00148362,0.00080924795,0.00082652376,0.004255969],"category_scores_gemma":[0.07471982,0.00024884692,0.00092690886,0.0005553542,0.0017397618,0.0032220904,0.0016655927,0.0008391924,0.0004110989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013923823,0.0034440407,0.8359795,0.00019488776,0.0014824647,0.0011999492,0.00093569106,0.02255934,0.033134412,0.019566882,0.00061792135,0.066961095],"study_design_scores_gemma":[0.00043328735,0.009466926,0.8163485,0.000020396372,0.00025200465,0.0010945143,0.0007297256,0.13278791,0.024683898,0.012872999,0.0012261128,0.000083716965],"about_ca_topic_score_codex":0.00028105135,"about_ca_topic_score_gemma":0.000113441776,"teacher_disagreement_score":0.016582187,"about_ca_system_score_codex":0.00028075007,"about_ca_system_score_gemma":0.0004032912,"threshold_uncertainty_score":0.087696075},"labels":[],"label_agreement":null},{"id":"W4247640230","doi":"10.3905/joi.2004.434548","title":"Overlay Speak","year":2004,"lang":"en","type":"article","venue":"The Journal of Investing","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Business; Computer science","score_opus":0.04362738855516134,"score_gpt":0.21317582544973854,"score_spread":0.16954843689457721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247640230","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054189675,0.001030001,0.026026862,0.007906953,0.0049268343,0.00017610058,0.003968401,0.007472429,0.94307345],"genre_scores_gemma":[0.07187662,0.0015153257,0.013168725,0.004603915,0.0020742367,0.00032649463,0.005380654,0.007816481,0.8932374],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836046,0.00036191073,0.00014363026,0.00027063396,0.00061799976,0.00024533967],"domain_scores_gemma":[0.99672157,0.0009950227,0.00015316217,0.00084545446,0.0008076466,0.00047724077],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015388328,0.0008018769,0.0006529855,0.0013622612,0.0025018598,0.0052820705,0.0013736397,0.0017947109,0.42652124],"category_scores_gemma":[0.008643128,0.0003709037,0.00054483995,0.0011724918,0.0012967569,0.009609778,0.00571372,0.0023021158,0.19743747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021549442,0.000046923386,0.00064327207,0.00027140434,0.000010955864,0.0005775832,0.0023621817,0.00015967352,0.0015738816,0.13979629,0.7253374,0.1290049],"study_design_scores_gemma":[0.000005810878,0.000010863916,0.00021387813,0.000044635097,0.000003258373,0.00028088558,0.00044350023,0.00012357971,0.0003578043,0.010275333,0.98822963,0.0000107935375],"about_ca_topic_score_codex":0.0014545926,"about_ca_topic_score_gemma":0.0020947421,"teacher_disagreement_score":0.42652124,"about_ca_system_score_codex":0.0007688155,"about_ca_system_score_gemma":0.0010031292,"threshold_uncertainty_score":0.8179978},"labels":[],"label_agreement":null},{"id":"W4247850167","doi":"10.1092/m9b9-rqd7-u8ka-503u","title":"Why Do Large Firms' Prices Anticipate Earnings Earlier than Small Firms' Prices?*","year":2000,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Portfolio; Incentive; Monetary economics; Economics; Investment (military); Business; Financial economics; Finance; Microeconomics","score_opus":0.08679482631117888,"score_gpt":0.2933033473658178,"score_spread":0.20650852105463893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247850167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841224,0.00058412476,0.0023942764,0.0031988493,0.00008680028,0.000021053762,0.00036638015,0.00007422121,0.009151856],"genre_scores_gemma":[0.99892443,0.00011024926,0.0001775994,0.00019347835,0.00005342182,0.0000033910844,0.00008930182,0.000009099573,0.00043908594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996679,0.00005068031,0.000022826638,0.00011344432,0.000060866503,0.00008427588],"domain_scores_gemma":[0.9870291,0.0060774013,0.004720751,0.00060030323,0.00067652535,0.0008959544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012447485,0.0001785876,0.0002813385,0.0005265679,0.00025526647,0.0016224007,0.00037579736,0.00087150105,0.005119458],"category_scores_gemma":[0.017060032,0.00023094186,0.00021350164,0.0005918674,0.00051364914,0.0018737634,0.0003720662,0.00065248716,0.0010206238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005037949,0.00011969029,0.94600886,0.000054956996,0.00010934633,0.00046628836,0.00048160818,0.0013924848,0.0015544702,0.0060477643,0.0034321896,0.03982852],"study_design_scores_gemma":[0.000052635856,0.00013718483,0.98158354,0.000016212358,0.00003205046,0.0001508639,0.0004567761,0.00293233,0.00078405364,0.012014871,0.0018167981,0.000022727958],"about_ca_topic_score_codex":0.0037351202,"about_ca_topic_score_gemma":0.00454848,"teacher_disagreement_score":0.005119458,"about_ca_system_score_codex":0.00038683636,"about_ca_system_score_gemma":0.00030570896,"threshold_uncertainty_score":0.017126322},"labels":[],"label_agreement":null},{"id":"W4247961058","doi":"10.2139/ssrn.1101109","title":"Does Risk Aversion Vary During the Year? Evidence from Bid-Ask Spreads","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Ask price; Risk aversion (psychology); Bid price; Economics; Bid–ask spread; Financial economics; Actuarial science; Econometrics; Business; Monetary economics; Expected utility hypothesis; Finance; Market liquidity","score_opus":0.01536063052941469,"score_gpt":0.19194586644507663,"score_spread":0.17658523591566194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247961058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960479,0.00065224455,0.0002830063,0.00030167235,0.000016419614,0.000006743848,0.00041542458,0.000008702239,0.0022679293],"genre_scores_gemma":[0.9979303,0.0004488975,0.000102995546,0.00007842261,0.000027669294,0.000005336822,0.00045303974,0.000009307476,0.00094396516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993643,0.00020878794,0.00005155326,0.000106734486,0.00012567428,0.00014287338],"domain_scores_gemma":[0.9597572,0.019696096,0.01375418,0.0029441419,0.0012037224,0.0026446637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024786096,0.00031149603,0.00061426905,0.0010497445,0.0005437572,0.0021502718,0.0007602499,0.0013485067,0.0061033242],"category_scores_gemma":[0.018889336,0.0005290703,0.0006089633,0.0014223706,0.00064640655,0.0014405065,0.0007229036,0.0015547533,0.0011163072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045918194,0.0009615939,0.96866244,0.00007265663,0.0004986572,0.00029590903,0.0010690365,0.0010848679,0.0027209874,0.0021817498,0.0014503719,0.016409919],"study_design_scores_gemma":[0.000040879644,0.00027227,0.99636096,0.000014168401,0.000088450724,0.00012307637,0.0002931169,0.00047614722,0.0003321076,0.0010769443,0.0009025683,0.000019331033],"about_ca_topic_score_codex":0.006614854,"about_ca_topic_score_gemma":0.006063589,"teacher_disagreement_score":0.006614854,"about_ca_system_score_codex":0.0002926641,"about_ca_system_score_gemma":0.00025772318,"threshold_uncertainty_score":0.02041769},"labels":[],"label_agreement":null},{"id":"W4248109674","doi":"10.2139/ssrn.2946136","title":"Portfolio Liquidation and Ambiguity Aversion","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ambiguity aversion; Economics; Ambiguity; Portfolio; Profitability index; Econometrics; Trading strategy; Context (archaeology); Expected utility hypothesis; Risk aversion (psychology); Microeconomics; Asset (computer security); Position (finance); Mathematical economics; Computer science; Financial economics","score_opus":0.01947152646014308,"score_gpt":0.22287277479487413,"score_spread":0.20340124833473106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248109674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9175546,0.0020802976,0.048984107,0.00422258,0.00008449506,0.000031750686,0.00008225054,0.00010716949,0.02685279],"genre_scores_gemma":[0.996276,0.00022936874,0.0008615732,0.00008632383,0.000044847722,0.0000061191595,0.000023297418,0.000007961055,0.0024644088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993332,0.0002285274,0.00006719334,0.000108524066,0.00012290622,0.00013953689],"domain_scores_gemma":[0.98441595,0.007890203,0.0055520153,0.0007096728,0.00044613567,0.0009859956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032526862,0.00041483206,0.00086920796,0.0007847475,0.0005623308,0.0035889542,0.00045198118,0.0018008377,0.0072082146],"category_scores_gemma":[0.021468222,0.00040742432,0.00057091506,0.0006860707,0.0018818052,0.0042661396,0.0020914169,0.0029183824,0.0003728624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014578324,0.0006278996,0.064842194,0.00020428977,0.0003152151,0.003564238,0.0010514668,0.032075267,0.0051444205,0.82594645,0.003450564,0.06132015],"study_design_scores_gemma":[0.00014525665,0.00023171537,0.01299425,0.000039870865,0.00007936153,0.0008653709,0.00026603672,0.051428728,0.0005401053,0.9321871,0.0011790652,0.00004321611],"about_ca_topic_score_codex":0.00028874242,"about_ca_topic_score_gemma":0.00020419361,"teacher_disagreement_score":0.0072082146,"about_ca_system_score_codex":0.0005715014,"about_ca_system_score_gemma":0.00045967952,"threshold_uncertainty_score":0.024113953},"labels":[],"label_agreement":null},{"id":"W4248243770","doi":"10.2139/ssrn.1355398","title":"Diminishing Sensitivity Vs. Loss Aversion: A General Equilibrium Model of the Disposition Effect, Asset Prices and Trading Volume","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Disposition effect; Economics; Loss aversion; General equilibrium theory; Asset (computer security); Sensitivity (control systems); Capital asset pricing model; Econometrics; Volume (thermodynamics); Risk aversion (psychology); Monetary economics; Financial economics; Microeconomics; Expected utility hypothesis; Computer science","score_opus":0.01000359814034513,"score_gpt":0.19650938789279926,"score_spread":0.18650578975245413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248243770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47640452,0.0029771912,0.45881814,0.0091347005,0.00021708776,0.00015455109,0.00076357124,0.00040672024,0.05112347],"genre_scores_gemma":[0.9720938,0.0010731939,0.007048213,0.00028542607,0.0001443604,0.00005061638,0.000083608764,0.000049318962,0.019171488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938595,0.00027485742,0.000015563332,0.00010685372,0.000060657218,0.00015604698],"domain_scores_gemma":[0.9968844,0.002050811,0.00034919102,0.00019263849,0.0002063999,0.0003165298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027500377,0.0010109744,0.0018785624,0.00092515035,0.000601042,0.004429913,0.002275154,0.0033662703,0.0076195765],"category_scores_gemma":[0.008968108,0.0009648431,0.0013913303,0.000845805,0.0024745115,0.004871775,0.001417163,0.0025193861,0.00084512105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003135627,0.00021025319,0.0019739098,0.000117784555,0.00011164685,0.00035414496,0.00030389844,0.35094318,0.0017235377,0.6324372,0.002998053,0.008512783],"study_design_scores_gemma":[0.00009817279,0.00007924976,0.0011810017,0.000020131582,0.00005879404,0.00015914606,0.000063917534,0.64644355,0.000110638524,0.35101706,0.00071659964,0.000051846433],"about_ca_topic_score_codex":0.007595234,"about_ca_topic_score_gemma":0.0037195592,"teacher_disagreement_score":0.0076195765,"about_ca_system_score_codex":0.001920152,"about_ca_system_score_gemma":0.0012362441,"threshold_uncertainty_score":0.025490046},"labels":[],"label_agreement":null},{"id":"W4248528628","doi":"10.2139/ssrn.1344123","title":"Do Subjective Expectations Explain Asset Pricing Puzzles?","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Equity premium puzzle; Capital asset pricing model; Economics; Econometrics; Prior probability; Consumption-based capital asset pricing model; Volatility (finance); Extant taxon; Consumption (sociology); Asset (computer security); Context (archaeology); Bayesian probability; Valuation of options; Equity (law); Financial economics; Microeconomics; Computer science","score_opus":0.016463486317902835,"score_gpt":0.22756042594055662,"score_spread":0.21109693962265377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248528628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9341871,0.0020975762,0.025576323,0.01422481,0.00028434373,0.00004562086,0.0008517237,0.00017383673,0.022558628],"genre_scores_gemma":[0.9964168,0.00053631316,0.0008612985,0.0005363265,0.00023360667,0.000014751095,0.0002565376,0.000042910633,0.001101325],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995653,0.0001554053,0.000054250548,0.00006879003,0.000087683744,0.00006853675],"domain_scores_gemma":[0.9507515,0.034968432,0.007915844,0.0034332986,0.0017309738,0.0011998082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047402433,0.00052024523,0.0010071698,0.0010898578,0.00036329732,0.003981116,0.0012327741,0.0028717797,0.013039132],"category_scores_gemma":[0.07512692,0.00070042134,0.0006893277,0.0012643527,0.0011417189,0.008233562,0.00095420337,0.0022127735,0.0018656381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002870667,0.0010047237,0.33647636,0.00084551406,0.001087895,0.002433619,0.005085296,0.028894447,0.0032342672,0.45793104,0.019034902,0.14110127],"study_design_scores_gemma":[0.0003449185,0.00012708362,0.14582452,0.00010676417,0.00021707022,0.00054053776,0.0014860112,0.08963656,0.0004553393,0.7571365,0.004008119,0.0001164841],"about_ca_topic_score_codex":0.0016448621,"about_ca_topic_score_gemma":0.0007336218,"teacher_disagreement_score":0.013039132,"about_ca_system_score_codex":0.00038583842,"about_ca_system_score_gemma":0.000327201,"threshold_uncertainty_score":0.04362029},"labels":[],"label_agreement":null},{"id":"W4248607318","doi":"10.1057/9781137554178_13","title":"Great in Practice, Not in Theory: An Empirical Examination of Covered Call Writing","year":2016,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Portfolio; Stock (firearms); Financial economics; Call option; Ask price; Modern portfolio theory; Business; Economics; Finance; History","score_opus":0.04267638586571397,"score_gpt":0.26434706191954754,"score_spread":0.22167067605383356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248607318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9492728,0.00378504,0.0010114765,0.005400538,0.00008474507,0.0000697044,0.00030442438,0.000019591906,0.040051702],"genre_scores_gemma":[0.9871703,0.0018985415,0.00030931213,0.0007541606,0.00015735431,0.0000588988,0.0003435925,0.000043253374,0.009264637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952206,0.0019416196,0.00033329654,0.00042089817,0.0015508415,0.000532714],"domain_scores_gemma":[0.90840787,0.056385,0.024045229,0.0031190102,0.0035771104,0.0044658375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063161626,0.00040326623,0.00064085604,0.0023307775,0.002133971,0.0061186794,0.0014097019,0.0020052951,0.016787583],"category_scores_gemma":[0.06684968,0.00040832133,0.00027953775,0.004847608,0.005274097,0.009099579,0.003827724,0.0054912455,0.0035738696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043598056,0.0017566817,0.60521865,0.00049531105,0.000120535646,0.0018104753,0.16547559,0.0006564666,0.00034502093,0.0709239,0.032721035,0.12004029],"study_design_scores_gemma":[0.00005263286,0.0005539295,0.6988093,0.0012704434,0.000057343674,0.0011808814,0.22293465,0.002380628,0.00028695542,0.02918494,0.043212462,0.00007574037],"about_ca_topic_score_codex":0.0025109835,"about_ca_topic_score_gemma":0.0034484318,"teacher_disagreement_score":0.016787583,"about_ca_system_score_codex":0.0012705069,"about_ca_system_score_gemma":0.0013524089,"threshold_uncertainty_score":0.056160092},"labels":[],"label_agreement":null},{"id":"W4249046086","doi":"10.1080/10920277.2006.10596263","title":"The Magnificent Seven","year":2006,"lang":"en","type":"article","venue":"North American Actuarial Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Art","score_opus":0.012435454007454333,"score_gpt":0.19368442033354158,"score_spread":0.18124896632608725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249046086","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011769312,0.0010721238,0.0026114336,0.004821556,0.02637491,0.0005137524,0.005266492,0.008555839,0.9496069],"genre_scores_gemma":[0.0018563534,0.0007238205,0.0013171083,0.0012990804,0.002653376,0.000120323886,0.0024823279,0.0015348378,0.9880128],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999401,0.00004108885,0.000030565698,0.00008416183,0.00031407725,0.00012910322],"domain_scores_gemma":[0.99631834,0.00026501773,0.00007994487,0.00032829228,0.0013958273,0.0016126507],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006245682,0.0017478573,0.0011863862,0.0033300428,0.0012620817,0.006052681,0.0016232505,0.0019766309,0.9199517],"category_scores_gemma":[0.0036647702,0.00080834085,0.0012115343,0.0014852802,0.00035352434,0.004257786,0.004532221,0.0019337289,0.8404614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035329478,0.000026343803,0.00007395366,0.000080673555,0.0000014304686,0.00003690994,0.000012961687,0.000014392189,0.000269276,0.00039492256,0.95236367,0.04669008],"study_design_scores_gemma":[0.000020209309,0.00002728375,0.00045604247,0.000078482124,0.0000037450047,0.00010787332,0.000056028715,0.0000605548,0.00024623805,0.0004216328,0.99850863,0.000013216051],"about_ca_topic_score_codex":0.0013444141,"about_ca_topic_score_gemma":0.002848517,"teacher_disagreement_score":0.9199517,"about_ca_system_score_codex":0.0006163101,"about_ca_system_score_gemma":0.00092357694,"threshold_uncertainty_score":0.114179134},"labels":[],"label_agreement":null},{"id":"W4249102627","doi":"10.2139/ssrn.2631421","title":"Can Twitter Help Predict Firm-Level Earnings and Stock Returns?","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Stock (firearms); Business; Econometrics; Economics; Financial economics; Accounting; Engineering","score_opus":0.04329808252005447,"score_gpt":0.2224730570234297,"score_spread":0.17917497450337522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249102627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89941394,0.004324863,0.0025456839,0.020501705,0.0015994412,0.00011726798,0.025698517,0.00032554095,0.045472976],"genre_scores_gemma":[0.9829002,0.0018359338,0.0012213301,0.00092406664,0.0010166119,0.000061118124,0.005218839,0.000024019604,0.0067978487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997023,0.0000924941,0.00003413807,0.000047565092,0.00006156331,0.000061881765],"domain_scores_gemma":[0.9940462,0.0034293835,0.0010586141,0.00023842331,0.00064957316,0.00057774957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081767526,0.00040364158,0.0003408018,0.0013880037,0.00031930435,0.0017390911,0.00041703682,0.0011722093,0.013418788],"category_scores_gemma":[0.009826027,0.00018553897,0.00038729384,0.0014418942,0.00017726514,0.0024708149,0.0005459503,0.00075155625,0.0063593118],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023942546,0.00021204799,0.9279051,0.00010384433,0.00014259368,0.00012046498,0.0001699005,0.0007832492,0.00021725301,0.0005304092,0.018060979,0.05151473],"study_design_scores_gemma":[0.000059962396,0.00031756458,0.9312792,0.00028316953,0.00034102733,0.0003052271,0.002353735,0.032186694,0.0009887331,0.0054776524,0.026340486,0.00006658083],"about_ca_topic_score_codex":0.006470935,"about_ca_topic_score_gemma":0.012321747,"teacher_disagreement_score":0.013418788,"about_ca_system_score_codex":0.00026260337,"about_ca_system_score_gemma":0.00032367432,"threshold_uncertainty_score":0.044890344},"labels":[],"label_agreement":null},{"id":"W4249705557","doi":"10.1080/10835547.2015.12089969","title":"Trend Following and Momentum Strategies for Global REITs","year":2015,"lang":"en","type":"article","venue":"Journal of Real Estate Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Real estate investment trust; Sharpe ratio; Portfolio; Trend following; Momentum (technical analysis); Volatility (finance); Economics; Financial economics; Econometrics; Executive summary; Index (typography); Asset allocation; Asset (computer security); Drawdown (hydrology); Real estate; Finance; Computer science","score_opus":0.03919931940306303,"score_gpt":0.2614655943637576,"score_spread":0.22226627496069457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249705557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9382248,0.001178559,0.023926565,0.0005734708,0.000063670195,0.000060096896,0.00008969539,0.00014992271,0.035733167],"genre_scores_gemma":[0.99240583,0.00026460417,0.0024729955,0.00005312775,0.000030264178,0.000010673995,0.000046985027,0.000018850184,0.0046966705],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99957377,0.000120453675,0.000027342146,0.000057421596,0.00014228906,0.00007883244],"domain_scores_gemma":[0.99834347,0.00036831695,0.00061673514,0.0002171066,0.00028026852,0.0001740886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014548828,0.00058332656,0.00048604963,0.000549231,0.0002451207,0.002359781,0.00044438549,0.0005227071,0.004995942],"category_scores_gemma":[0.0046375585,0.00014070104,0.00038384504,0.0006029081,0.00044160767,0.0020908576,0.0009289808,0.0007956166,0.00061521766],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021401476,0.000677798,0.12202975,0.0003106327,0.00053535536,0.0018274055,0.0005332148,0.2290111,0.02016911,0.12360686,0.0062563405,0.49290225],"study_design_scores_gemma":[0.00040548015,0.0050827265,0.15013088,0.00034218153,0.0009027598,0.0018234389,0.0019430936,0.64052916,0.03685456,0.11365868,0.048132714,0.0001943846],"about_ca_topic_score_codex":0.00085855863,"about_ca_topic_score_gemma":0.001218553,"teacher_disagreement_score":0.004995942,"about_ca_system_score_codex":0.00056522666,"about_ca_system_score_gemma":0.0003523721,"threshold_uncertainty_score":0.016713083},"labels":[],"label_agreement":null},{"id":"W4250102518","doi":"10.1037/e323832004-016","title":"APA in Toronto: Fantastic Exchange Rate, Fantastic Science!","year":2003,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Art history; Art; Computer science","score_opus":0.03381026859096028,"score_gpt":0.2748724969673781,"score_spread":0.2410622283764178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250102518","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000086228945,0.000041482264,0.000020781135,0.00004370729,0.000013765129,0.0000039418082,0.99929714,0.00018300198,0.00031009177],"genre_scores_gemma":[0.00045411428,0.00005717235,0.00010430728,0.000021256343,0.000008691414,0.000033908338,0.99838924,0.000059692884,0.00087179424],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99941087,0.000073561176,0.000061168656,0.0001522673,0.00014480448,0.00015743088],"domain_scores_gemma":[0.9973773,0.00045572215,0.00029166744,0.0005944475,0.00078933977,0.00049160037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007200022,0.0029088103,0.0016545375,0.0051201573,0.0009681872,0.003410658,0.0025093202,0.0023808496,0.10087373],"category_scores_gemma":[0.005782598,0.0008837575,0.0013453146,0.009967685,0.00045787863,0.0012738628,0.0019008142,0.001985883,0.10314338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030210549,0.000006114825,0.0004424794,0.00019758249,0.000012843072,0.000011141666,0.000013182828,0.00015772959,0.000022070557,0.00015744269,0.9980381,0.00091112975],"study_design_scores_gemma":[0.00030109537,0.000015739028,0.008987891,0.00024517404,0.00004525064,0.00003895514,0.000108083106,0.000875525,0.00025998082,0.00091201864,0.9881699,0.00004032332],"about_ca_topic_score_codex":0.2519464,"about_ca_topic_score_gemma":0.3543109,"teacher_disagreement_score":0.7480536,"about_ca_system_score_codex":0.0029700778,"about_ca_system_score_gemma":0.0055042524,"threshold_uncertainty_score":0.50095975},"labels":[],"label_agreement":null},{"id":"W4250256217","doi":"10.2139/ssrn.1910384","title":"Risky Cycles in Stock Price Momentum Strategy Returns","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Stock (firearms); Financial economics; Economics; Momentum (technical analysis); Stock price; Monetary economics; Econometrics; Business; Engineering; Series (stratigraphy)","score_opus":0.0342318548862955,"score_gpt":0.2186348738614693,"score_spread":0.1844030189751738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250256217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922591,0.00040794894,0.003639343,0.00057414727,0.000019246938,0.0000063481157,0.00009538748,0.00003184409,0.0029664852],"genre_scores_gemma":[0.99818367,0.00014392879,0.00015133664,0.000023210861,0.000019667154,0.0000028488391,0.000046724792,0.000007274724,0.0014213971],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984527,0.00003817846,0.000012418348,0.00003563854,0.00003093473,0.00003751501],"domain_scores_gemma":[0.9926409,0.0042415885,0.0018148638,0.00022315425,0.0003745742,0.00070499984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011192338,0.0002643099,0.00037360363,0.000948643,0.00032878105,0.002720469,0.0003758909,0.0011241254,0.005932264],"category_scores_gemma":[0.016022636,0.0004915269,0.00031273148,0.0008973389,0.0008009979,0.0024797583,0.00083478563,0.001386062,0.0004897908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009145249,0.00042068644,0.606788,0.000098253295,0.00027415945,0.0018760877,0.0013115484,0.05495264,0.0046871006,0.27558473,0.0038818796,0.04921051],"study_design_scores_gemma":[0.00011978794,0.000258377,0.40530565,0.00006693387,0.00018263546,0.00071655266,0.00089306623,0.28670856,0.0011553577,0.30194604,0.002537384,0.00010970973],"about_ca_topic_score_codex":0.0039453018,"about_ca_topic_score_gemma":0.0045750956,"teacher_disagreement_score":0.005932264,"about_ca_system_score_codex":0.0006889842,"about_ca_system_score_gemma":0.00040526825,"threshold_uncertainty_score":0.019845426},"labels":[],"label_agreement":null},{"id":"W4250480997","doi":"10.2139/ssrn.1565122","title":"Dividend Volatility and Asset Prices: A Loss Aversion/Narrow Framing Approach","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Financial economics; Loss aversion; Dividend; Volatility (finance); Economics; Framing (construction); Framing effect; Econometrics; Monetary economics; Microeconomics; Finance; Psychology","score_opus":0.01245717272097626,"score_gpt":0.200387547357331,"score_spread":0.18793037463635473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250480997","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31580323,0.0026760302,0.58678675,0.011067442,0.0004026644,0.000094651594,0.00012873855,0.00012987143,0.08291074],"genre_scores_gemma":[0.97668093,0.0007688646,0.014949494,0.00029031027,0.00056518184,0.000047627225,0.000029028548,0.000033834945,0.0066346996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987538,0.0005937903,0.00003639919,0.0001783768,0.0002617804,0.00017581157],"domain_scores_gemma":[0.9950122,0.002940235,0.00070017885,0.00061103544,0.00033879757,0.00039758105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004918191,0.0010980708,0.0016253794,0.0016940209,0.00087875046,0.0054390975,0.0014873729,0.0019020061,0.005947127],"category_scores_gemma":[0.013593124,0.000937295,0.0011539377,0.0010908346,0.0037952831,0.00794623,0.0034097654,0.0053409096,0.00037763306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007028373,0.00011653268,0.001438326,0.000036223464,0.000060899503,0.00020240914,0.00043280158,0.009929149,0.00061911385,0.97439086,0.0007440739,0.011959258],"study_design_scores_gemma":[0.000032222033,0.000046931633,0.0011021722,0.000022988726,0.0000681693,0.0000603593,0.00019774903,0.05937199,0.00017989497,0.9381017,0.0007878556,0.000027964088],"about_ca_topic_score_codex":0.0009616842,"about_ca_topic_score_gemma":0.00084854674,"teacher_disagreement_score":0.005947127,"about_ca_system_score_codex":0.0009317425,"about_ca_system_score_gemma":0.0006299798,"threshold_uncertainty_score":0.026010156},"labels":[],"label_agreement":null},{"id":"W4250537796","doi":"10.2139/ssrn.1787284","title":"The Economic Value of Exploiting Time-Varying Return Moments","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Fredericton; University of New Brunswick","funders":"","keywords":"Portfolio; Econometrics; Volatility (finance); Economics; Dividend yield; Value premium; Rate of return on a portfolio; Volatility risk premium; Expected return; Risk premium; Stock (firearms); Dividend; Financial economics; Portfolio optimization; Stochastic volatility; Capital asset pricing model; Dividend policy; Finance","score_opus":0.010611931188441504,"score_gpt":0.20606106337796465,"score_spread":0.19544913218952314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250537796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5171985,0.004365798,0.44533226,0.0076172566,0.00047189932,0.000037789854,0.00042064616,0.0004575886,0.02409818],"genre_scores_gemma":[0.9784858,0.0010683101,0.017352793,0.00015583144,0.0004164503,0.000010480968,0.00009453539,0.000051958654,0.0023637477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991591,0.00044794488,0.000036160505,0.00010453754,0.00016703476,0.00008524769],"domain_scores_gemma":[0.95288146,0.03951421,0.002938827,0.003517963,0.0006461164,0.0005014588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004106956,0.00058948743,0.0007171733,0.0011545682,0.00040274218,0.002605017,0.0011899332,0.0020266378,0.0032996957],"category_scores_gemma":[0.037577994,0.00048586438,0.0006490125,0.0014622451,0.001546968,0.0072732503,0.0016065722,0.0021807544,0.00031279708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012268369,0.00030339276,0.012356099,0.00013460996,0.00028539257,0.00084900873,0.00014536231,0.37510255,0.0024486736,0.5161602,0.002744179,0.08824372],"study_design_scores_gemma":[0.000049282917,0.00006173292,0.002157987,0.00001778249,0.000045977842,0.0001161852,0.000033989538,0.7527029,0.00067023846,0.24318708,0.00092194363,0.00003489913],"about_ca_topic_score_codex":0.00096464955,"about_ca_topic_score_gemma":0.00063431734,"teacher_disagreement_score":0.004106956,"about_ca_system_score_codex":0.000574907,"about_ca_system_score_gemma":0.00052021124,"threshold_uncertainty_score":0.021719933},"labels":[],"label_agreement":null},{"id":"W4250858360","doi":"10.2139/ssrn.1343889","title":"Value at Risk Constraint Effect on Portfolio Manager Performance Under Asymmetric Information","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère de la Santé et des Services Sociaux (Québec)","funders":"","keywords":"Constraint (computer-aided design); Portfolio; Information asymmetry; Business; Value (mathematics); Project portfolio management; Value at risk; Actuarial science; Value of information; Active management; Risk management; Microeconomics; Economics; Finance; Mathematics; Mathematical economics; Statistics; Project management","score_opus":0.006662353923827201,"score_gpt":0.19002716300177797,"score_spread":0.18336480907795077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250858360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99677014,0.00005691439,0.00069435115,0.00019699434,0.0000067506116,0.0000045015754,0.000044976427,0.000011786713,0.0022135207],"genre_scores_gemma":[0.9995915,0.000011777901,0.00007282932,0.000013597546,0.000005527266,0.0000012572442,0.0000130979615,0.0000023876833,0.00028806037],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992447,0.00028218832,0.000042446998,0.00008761032,0.00011799719,0.00022510205],"domain_scores_gemma":[0.95326436,0.036256004,0.0050994833,0.0018463065,0.000997892,0.0025359662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035863635,0.0002734843,0.00066563004,0.00031565502,0.00028015915,0.0019050319,0.00042448565,0.001207854,0.006271513],"category_scores_gemma":[0.026525354,0.00019095404,0.000220684,0.000343355,0.00043263478,0.0012748471,0.0006257512,0.0011100364,0.0004024363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0481652,0.004974466,0.38753065,0.0004980299,0.0009831265,0.0034215376,0.0012844302,0.30939382,0.092724174,0.058299437,0.0047857296,0.08793945],"study_design_scores_gemma":[0.0010784002,0.0053350627,0.53319967,0.00006181484,0.0007133512,0.0005716756,0.0009021242,0.40300196,0.01665792,0.037559453,0.0007614281,0.00015709916],"about_ca_topic_score_codex":0.00096024084,"about_ca_topic_score_gemma":0.0006973984,"teacher_disagreement_score":0.006271513,"about_ca_system_score_codex":0.00044980418,"about_ca_system_score_gemma":0.00061987614,"threshold_uncertainty_score":0.020980299},"labels":[],"label_agreement":null},{"id":"W4251292172","doi":"10.2139/ssrn.3784757","title":"Properties of Subjective Beliefs Estimators","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Estimator; Econometrics; Psychology; Statistics; Mathematics; Social psychology","score_opus":0.018630728837042355,"score_gpt":0.19681620345732104,"score_spread":0.17818547462027867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251292172","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.093938544,0.00071294315,0.8976014,0.0010031866,0.000097627715,0.00013363356,0.00048357114,0.0003229653,0.005706121],"genre_scores_gemma":[0.88041395,0.001636244,0.10828785,0.000547769,0.0006523431,0.00054141827,0.0017666658,0.0004115599,0.005742229],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9899979,0.005860242,0.0006757437,0.0013118767,0.0015998009,0.00055431854],"domain_scores_gemma":[0.6402192,0.3212455,0.012713379,0.015934011,0.0075948513,0.0022930952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026969118,0.001224274,0.0019095914,0.0029674019,0.0009810658,0.0050373296,0.0030402334,0.0023476677,0.007216457],"category_scores_gemma":[0.27224785,0.0013525055,0.0014994221,0.0024224666,0.0037419011,0.008450856,0.0036541494,0.0032810706,0.0011277266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005756082,0.0002278636,0.018075483,0.00046756072,0.00044320073,0.0003497796,0.0009352649,0.059185017,0.0031089874,0.8552094,0.0037289849,0.057692893],"study_design_scores_gemma":[0.000115857896,0.00018848038,0.00469655,0.0001470584,0.000105061605,0.0003613686,0.00017326375,0.4625618,0.00225667,0.52815664,0.0011645692,0.00007266891],"about_ca_topic_score_codex":0.00081972894,"about_ca_topic_score_gemma":0.00052676443,"teacher_disagreement_score":0.026969118,"about_ca_system_score_codex":0.0009789468,"about_ca_system_score_gemma":0.0014593572,"threshold_uncertainty_score":0.14262801},"labels":[],"label_agreement":null},{"id":"W4252402383","doi":"10.1111/jofi.12885","title":"Lazy Prices","year":2020,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":360,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Earnings; Portfolio; Profitability index; Basis point; Business; Economics; Financial economics; Monetary economics; Accounting; Finance; Interest rate","score_opus":0.04462773738097584,"score_gpt":0.20757797182217316,"score_spread":0.16295023444119733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252402383","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1633679,0.0039296113,0.2254554,0.013622987,0.001908724,0.0001726297,0.0056804754,0.0019923341,0.58386993],"genre_scores_gemma":[0.90211445,0.0012097323,0.009343065,0.00046691427,0.0011896358,0.000063771644,0.001434221,0.00022701288,0.08395125],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99911064,0.000113109796,0.00005210625,0.000207637,0.00040961377,0.00010696934],"domain_scores_gemma":[0.99724555,0.00085224234,0.0007116508,0.0005315455,0.00045808364,0.00020101269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085022335,0.0003036472,0.0005159417,0.0013710597,0.00062550674,0.004284435,0.0006375047,0.00097546197,0.046546552],"category_scores_gemma":[0.011233645,0.00025045456,0.00032714676,0.0015096212,0.0011504802,0.0053732945,0.0010349666,0.001343152,0.008967583],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009385992,0.000045403922,0.004510943,0.000073016454,0.000025032808,0.00022142577,0.00020407727,0.0033004996,0.0007173333,0.9105211,0.026775306,0.053511977],"study_design_scores_gemma":[0.00004906748,0.000056508103,0.0045328075,0.000045188513,0.000015662776,0.00028119163,0.00015492506,0.026776507,0.0007708929,0.89443755,0.07284369,0.00003603038],"about_ca_topic_score_codex":0.0013392901,"about_ca_topic_score_gemma":0.0011209084,"teacher_disagreement_score":0.046546552,"about_ca_system_score_codex":0.0010500146,"about_ca_system_score_gemma":0.0007927219,"threshold_uncertainty_score":0.15571374},"labels":[],"label_agreement":null},{"id":"W4252515153","doi":"10.2139/ssrn.966649","title":"Estimating Risk Premia in Fixed Income Markets","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Fixed income; Risk premium; Economics; Financial economics; Econometrics; Business; Monetary economics; Finance; Bond","score_opus":0.009700584798760412,"score_gpt":0.21518532342823268,"score_spread":0.20548473862947228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252515153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83019876,0.00077550684,0.16681442,0.00033727387,0.000020663976,0.00006187672,0.00014662411,0.00018601536,0.001458809],"genre_scores_gemma":[0.98156434,0.00027612783,0.017145816,0.000018807965,0.000026699814,0.000018194725,0.000124673,0.000012878549,0.0008124763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992843,0.00041158704,0.000034775396,0.00011902518,0.000060507016,0.00008976911],"domain_scores_gemma":[0.97095346,0.026554871,0.0013143884,0.0004969091,0.0003134449,0.00036683588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004858835,0.0008075748,0.0011264961,0.0014678234,0.00031625174,0.0020789297,0.0009590568,0.00138437,0.0018318291],"category_scores_gemma":[0.033995245,0.00075033616,0.0006133956,0.00076659117,0.0007138444,0.002079637,0.0010053077,0.0012434947,0.00021336979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072193623,0.00031976175,0.076977015,0.00012214702,0.00035296747,0.00039624656,0.00020333241,0.80431783,0.0009169768,0.052463852,0.0010286508,0.062179245],"study_design_scores_gemma":[0.000049901977,0.00008436138,0.004348806,0.00001362273,0.000033640237,0.00003635508,0.000047559795,0.9576061,0.00036729252,0.03727937,0.00012040337,0.000012612167],"about_ca_topic_score_codex":0.0044710236,"about_ca_topic_score_gemma":0.0024287896,"teacher_disagreement_score":0.004858835,"about_ca_system_score_codex":0.0006518038,"about_ca_system_score_gemma":0.00060788414,"threshold_uncertainty_score":0.025696278},"labels":[],"label_agreement":null},{"id":"W4252524434","doi":"10.2139/ssrn.1083944","title":"State Dependent Jumps in Stock Market Returns","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Financial economics; Economics; Stock market; Stock (firearms); Business; Monetary economics; Financial system; Geography","score_opus":0.019236848626633853,"score_gpt":0.20481915933578582,"score_spread":0.18558231070915196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252524434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854397,0.00015025427,0.012739456,0.000321057,0.00003002447,0.0000068878103,0.00015115787,0.00010528415,0.0010561104],"genre_scores_gemma":[0.9984596,0.00006806999,0.0003159563,0.000013130052,0.000013315012,0.0000031163179,0.00007531837,0.000008752975,0.0010427289],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997832,0.00004253663,0.000012619887,0.000055479388,0.00004901388,0.000057154146],"domain_scores_gemma":[0.9933082,0.0046634995,0.0010169145,0.00035152544,0.00029016938,0.00036959862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013146865,0.00029425352,0.00048232236,0.00079379,0.00021665473,0.0013000409,0.00054091617,0.0012958267,0.0039205533],"category_scores_gemma":[0.012778782,0.0004871633,0.00045349143,0.00044487222,0.0007399254,0.0018873034,0.0007790464,0.0015452389,0.00027644084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027468225,0.00086202606,0.20862289,0.0003161427,0.0008075536,0.0037355002,0.0009850301,0.41272268,0.051625013,0.26235092,0.0040002484,0.051225234],"study_design_scores_gemma":[0.000057781926,0.00013062976,0.092081726,0.000016807837,0.00010992747,0.00026795335,0.00009468029,0.8671765,0.0030866254,0.03662574,0.00026904774,0.000082645434],"about_ca_topic_score_codex":0.0015160353,"about_ca_topic_score_gemma":0.0020705017,"teacher_disagreement_score":0.0039205533,"about_ca_system_score_codex":0.0004223476,"about_ca_system_score_gemma":0.00031053647,"threshold_uncertainty_score":0.013115585},"labels":[],"label_agreement":null},{"id":"W4253262455","doi":"10.2139/ssrn.1365011","title":"Macroeconomic Risk and the Cross-Section of Stock Returns","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Stock (firearms); Section (typography); Economics; Financial economics; Business; Geography","score_opus":0.009871976167981794,"score_gpt":0.2155280949938653,"score_spread":0.2056561188258835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253262455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905901,0.002505944,0.0031100963,0.00085209403,0.00003677756,0.0000076306005,0.00023826692,0.000042111595,0.0026171121],"genre_scores_gemma":[0.99758184,0.0007193086,0.00013392817,0.00004634352,0.00008872911,0.000003400767,0.00019483292,0.0000081558455,0.0012233162],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964535,0.00011878599,0.00003079651,0.00007253629,0.00005562383,0.000076899654],"domain_scores_gemma":[0.98692584,0.007800735,0.002983714,0.0008453981,0.0004536945,0.0009906093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026389945,0.00033411928,0.00049592555,0.0011699973,0.00026906325,0.0021046975,0.000409944,0.0014833566,0.0047061606],"category_scores_gemma":[0.012310181,0.00038941635,0.0006776656,0.0010909957,0.00053184107,0.0014544466,0.0009895072,0.0012526213,0.0010269104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006312243,0.00019264386,0.9238898,0.000057056364,0.0010031706,0.00078655937,0.00027904293,0.028291656,0.002167169,0.024153817,0.0014761687,0.017071687],"study_design_scores_gemma":[0.000035076908,0.00018017559,0.90045595,0.000035839625,0.00030516632,0.00059378473,0.00023413337,0.060548864,0.00072118494,0.035572592,0.0012557267,0.00006154681],"about_ca_topic_score_codex":0.0019549858,"about_ca_topic_score_gemma":0.001825532,"teacher_disagreement_score":0.0047061606,"about_ca_system_score_codex":0.00040849688,"about_ca_system_score_gemma":0.00019553574,"threshold_uncertainty_score":0.015743732},"labels":[],"label_agreement":null},{"id":"W4254031159","doi":"10.2139/ssrn.2516550","title":"Market Timing","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Economics","score_opus":0.016026414755337285,"score_gpt":0.20139576574089807,"score_spread":0.1853693509855608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254031159","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10478023,0.00254903,0.08032787,0.0028453737,0.0015216542,0.00028366508,0.005414174,0.0016431209,0.80063486],"genre_scores_gemma":[0.77215725,0.0012216996,0.008301282,0.0005778123,0.00069177576,0.00012678643,0.0026341116,0.0004120876,0.21387723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99954164,0.000046132656,0.000025064599,0.0001429527,0.00017860708,0.00006563472],"domain_scores_gemma":[0.9982716,0.00054018945,0.00030187098,0.00030349675,0.00038445322,0.00019830385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007915323,0.00040580062,0.00043044938,0.0014361228,0.0005117496,0.0031562499,0.0005535592,0.0010754715,0.08378923],"category_scores_gemma":[0.008301791,0.00032567076,0.00037142067,0.001041775,0.00031548983,0.003022001,0.0006481885,0.0010892677,0.016493658],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037469532,0.0001572555,0.008097295,0.0001572654,0.00004489811,0.0004459369,0.00027821874,0.004368698,0.007976598,0.7896363,0.04455643,0.14390643],"study_design_scores_gemma":[0.00022466038,0.00036585907,0.042450458,0.00014966891,0.0001008542,0.0017946,0.00045700953,0.032355174,0.010826159,0.56760216,0.3435493,0.00012410202],"about_ca_topic_score_codex":0.00096997886,"about_ca_topic_score_gemma":0.0006768787,"teacher_disagreement_score":0.08378923,"about_ca_system_score_codex":0.0007546663,"about_ca_system_score_gemma":0.00043533312,"threshold_uncertainty_score":0.28030288},"labels":[],"label_agreement":null},{"id":"W4254164553","doi":"10.1002/j.2325-8012.2006.tb00779.x","title":"Margin, Short Selling, and Lotteries in Experimental Asset Markets","year":2006,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Asset (computer security); Lottery; Margin (machine learning); Economics; Stochastic game; Monetary economics; Financial economics; Business; Microeconomics","score_opus":0.01572207731175484,"score_gpt":0.20307706158515118,"score_spread":0.18735498427339634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254164553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944021,0.0001696297,0.0032354644,0.00020806093,0.000018542252,0.000039669983,0.00006261395,0.000019326619,0.0018446094],"genre_scores_gemma":[0.9987086,0.00005373235,0.0008127499,0.000041670413,0.000015269035,0.00004205832,0.000038870035,0.0000052087744,0.00028191056],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99712294,0.0017347385,0.00022595446,0.0003066765,0.0003873343,0.00022229654],"domain_scores_gemma":[0.9236208,0.058287315,0.010280912,0.0057020173,0.0007688391,0.0013401263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009994794,0.00039044302,0.0008579244,0.000440078,0.0003858421,0.0016830516,0.0007800594,0.0011248704,0.004314911],"category_scores_gemma":[0.052706107,0.0003710093,0.00054769276,0.00025633763,0.0026441428,0.0030224505,0.0011734248,0.0015456245,0.00018500793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03198526,0.015067983,0.1011497,0.0013620567,0.0016166997,0.001174079,0.002616944,0.2515251,0.04412311,0.47467136,0.003165399,0.07154229],"study_design_scores_gemma":[0.0021101548,0.007732101,0.04849576,0.000084949024,0.0002608467,0.00037884476,0.0006014973,0.38527426,0.013787776,0.5397311,0.0012975225,0.00024517952],"about_ca_topic_score_codex":0.0005940237,"about_ca_topic_score_gemma":0.00034069867,"teacher_disagreement_score":0.009994794,"about_ca_system_score_codex":0.00064443017,"about_ca_system_score_gemma":0.00039070737,"threshold_uncertainty_score":0.052858114},"labels":[],"label_agreement":null},{"id":"W4254518897","doi":"10.2139/ssrn.2200726","title":"Firm Opacity and Insider Trading Informativeness","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Opacity; Insider trading; Business; Monetary economics; Economics; Finance; Optics","score_opus":0.024856812661228328,"score_gpt":0.21325048264448962,"score_spread":0.1883936699832613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254518897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945334,0.0002998151,0.0025427437,0.00035653124,0.00000864614,0.0000057552716,0.00008991132,0.00003195573,0.002131209],"genre_scores_gemma":[0.99951863,0.0000471627,0.00008934582,0.000014964257,0.000028122167,8.9000713e-7,0.000032950436,0.0000034081233,0.0002646467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987356,0.00036584103,0.00015624525,0.00023073435,0.00027413035,0.00023753819],"domain_scores_gemma":[0.78107035,0.16149837,0.042468593,0.009042273,0.0020222908,0.0038981584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005146462,0.00028989871,0.0008176815,0.0014100571,0.00042614632,0.0037586638,0.00057586125,0.0014921501,0.0059479726],"category_scores_gemma":[0.06409073,0.00048456932,0.0005179198,0.0009855833,0.0015241615,0.003603983,0.0014569014,0.0022793682,0.0004318764],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013196754,0.0004167432,0.93426746,0.000086519554,0.00045488475,0.00118039,0.0011107695,0.016411366,0.0043768976,0.015327465,0.000800661,0.024247244],"study_design_scores_gemma":[0.000106335225,0.0004196097,0.8519168,0.000060665807,0.000465799,0.0014931092,0.0009967868,0.07434512,0.003079921,0.06615151,0.00085063715,0.000113699585],"about_ca_topic_score_codex":0.0011072593,"about_ca_topic_score_gemma":0.001246454,"teacher_disagreement_score":0.0059479726,"about_ca_system_score_codex":0.0004709548,"about_ca_system_score_gemma":0.00024897934,"threshold_uncertainty_score":0.027217388},"labels":[],"label_agreement":null},{"id":"W4254549707","doi":"10.2139/ssrn.1760610","title":"Seasonal Anomalies","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geography","score_opus":0.027445337444741598,"score_gpt":0.19519466811683545,"score_spread":0.16774933067209385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254549707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74424124,0.0041463845,0.05096879,0.0030934357,0.0031686837,0.00015898248,0.031727362,0.0040947613,0.15840039],"genre_scores_gemma":[0.9722467,0.00048797377,0.0023215795,0.00017996461,0.00041651883,0.000018155599,0.0070477715,0.0003147076,0.016966658],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997205,0.00001871847,0.000019987829,0.00010405762,0.00009143475,0.00004531881],"domain_scores_gemma":[0.99916124,0.00013723105,0.00019272082,0.00014943187,0.0002915292,0.00006783531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038608143,0.00028235046,0.00031366636,0.0013357112,0.00029748757,0.0010251089,0.0003228656,0.00056077464,0.011023111],"category_scores_gemma":[0.002652632,0.00014971358,0.0003791622,0.0020084183,0.00018213358,0.0006472092,0.00034681094,0.00063182245,0.0028095613],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008899019,0.00017223458,0.25219256,0.0004935735,0.0005377587,0.0011462162,0.00083666574,0.03460991,0.05742409,0.06720811,0.1636993,0.42078972],"study_design_scores_gemma":[0.000045384157,0.00017652831,0.7041958,0.00008284098,0.00018526809,0.0013925859,0.00034798216,0.08757508,0.009099248,0.025799163,0.17101753,0.00008257225],"about_ca_topic_score_codex":0.003641865,"about_ca_topic_score_gemma":0.003904764,"teacher_disagreement_score":0.011023111,"about_ca_system_score_codex":0.0005573358,"about_ca_system_score_gemma":0.0002718429,"threshold_uncertainty_score":0.036875963},"labels":[],"label_agreement":null},{"id":"W4255128183","doi":"10.1016/s1359-6128(14)70316-7","title":"Alfa Laval AB, Sweden","year":2014,"lang":"en","type":"article","venue":"Pump Industry Analyst","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Speculation; Futures contract; Futures market; Volatility (finance); Sample (material); Financial economics; Economics; Position (finance); Trading strategy; Context (archaeology); Monetary economics; Business; Finance","score_opus":0.03659972123612306,"score_gpt":0.22780610958675535,"score_spread":0.19120638835063228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255128183","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043881815,0.086836405,0.0054195607,0.008924445,0.003904766,0.00018701522,0.022720939,0.0034041072,0.82472086],"genre_scores_gemma":[0.08283854,0.043437965,0.008790405,0.00083992496,0.00059666135,0.00021072285,0.01070938,0.0020845528,0.8504919],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99823964,0.00016450621,0.00014133661,0.0007122128,0.00050173403,0.00024056618],"domain_scores_gemma":[0.99820733,0.0006777778,0.00030030595,0.00021053634,0.0003277793,0.00027618845],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093052484,0.0028326523,0.001537986,0.0028941557,0.001815656,0.007671002,0.0017614203,0.0027508303,0.3722771],"category_scores_gemma":[0.0031506082,0.0009468009,0.0009795747,0.0018513835,0.0012606694,0.0019372405,0.0040998356,0.0018215976,0.3756123],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017304076,0.00062231673,0.008910796,0.003343201,0.00025028948,0.0043813083,0.0008228663,0.004594611,0.008878391,0.018846037,0.16272639,0.7848934],"study_design_scores_gemma":[0.0001300771,0.00019346103,0.011219766,0.0014968114,0.00007369225,0.00194342,0.00049670576,0.0009746386,0.003165604,0.0066497135,0.97358996,0.00006615736],"about_ca_topic_score_codex":0.0042407354,"about_ca_topic_score_gemma":0.004152847,"teacher_disagreement_score":0.3722771,"about_ca_system_score_codex":0.0013100335,"about_ca_system_score_gemma":0.0031655682,"threshold_uncertainty_score":0.8953705},"labels":[],"label_agreement":null},{"id":"W4255597740","doi":"10.2139/ssrn.817766","title":"January Returns and Earnings Hypothesis","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Economics; Business; Financial economics; Accounting","score_opus":0.01464456416044764,"score_gpt":0.18873451100766986,"score_spread":0.17408994684722223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255597740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91165036,0.0010261142,0.003055529,0.010678466,0.0003483019,0.000060263286,0.0006047787,0.00017021167,0.07240598],"genre_scores_gemma":[0.99296594,0.00016320855,0.00011924444,0.000276779,0.00043926397,0.000010972846,0.00019005859,0.000011216179,0.0058233663],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99931324,0.00012514534,0.000060521987,0.00011883489,0.00012189105,0.00026038216],"domain_scores_gemma":[0.9840979,0.008221484,0.0040765353,0.0012650191,0.00075500645,0.0015840835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021891096,0.00030821757,0.00068118284,0.0012191115,0.00073128764,0.0029684305,0.0007826325,0.0012508216,0.025527094],"category_scores_gemma":[0.019214192,0.00018141394,0.00042840667,0.0006859233,0.0018779186,0.0025484264,0.0010665181,0.0012553427,0.0026876237],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00483144,0.0019976804,0.34639034,0.00027447852,0.0002595316,0.0021160042,0.0014632831,0.004024303,0.0025114492,0.5057172,0.034037806,0.09637646],"study_design_scores_gemma":[0.0008638814,0.0008103593,0.5660005,0.00008570992,0.00026187347,0.0010037286,0.0024557866,0.012000685,0.0029458124,0.39216787,0.021315716,0.00008803424],"about_ca_topic_score_codex":0.0013161014,"about_ca_topic_score_gemma":0.00071822753,"teacher_disagreement_score":0.025527094,"about_ca_system_score_codex":0.00064434204,"about_ca_system_score_gemma":0.0005695652,"threshold_uncertainty_score":0.08539665},"labels":[],"label_agreement":null},{"id":"W4256086211","doi":"10.2139/ssrn.1573050","title":"Hedge Fund Predictability Under the Magnifying Glass: The Economic Value of Individual Fund Return Forecasting","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Hedge fund; Predictability; Alternative beta; Business; Value (mathematics); Economics; Actuarial science; Finance; Open-end fund; Financial economics; Computer science; Institutional investor; Mathematics; Corporate governance; Statistics; Machine learning","score_opus":0.047769373819361194,"score_gpt":0.23833102046038313,"score_spread":0.19056164664102193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256086211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9406184,0.0030984506,0.040070496,0.0059795063,0.0003031706,0.000012678368,0.000266769,0.00015333273,0.009497217],"genre_scores_gemma":[0.99809724,0.00040657492,0.00074914267,0.00006022508,0.00027573513,0.0000018188427,0.000043892673,0.000012811731,0.00035264387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999435,0.00019144738,0.000025283167,0.00014397352,0.00012387111,0.000080421036],"domain_scores_gemma":[0.97805405,0.01645306,0.002479172,0.0017121099,0.0007706038,0.0005311165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003355915,0.00042218762,0.0010577217,0.0011872579,0.000583037,0.0031773432,0.00081396825,0.0014931998,0.001322606],"category_scores_gemma":[0.037779056,0.00036917304,0.00041790915,0.0012081394,0.0015393449,0.005295356,0.001163583,0.0022682468,0.00012389767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011402249,0.00014418627,0.11455414,0.000121669815,0.00049461075,0.0010764294,0.00046622372,0.5211539,0.0015387497,0.2048205,0.00817504,0.14631425],"study_design_scores_gemma":[0.000024460323,0.00006561422,0.025801213,0.00003359291,0.00008837665,0.00013850926,0.00011439581,0.71769327,0.00040010473,0.25490093,0.00069300254,0.00004646245],"about_ca_topic_score_codex":0.0031304471,"about_ca_topic_score_gemma":0.0021195011,"teacher_disagreement_score":0.003355915,"about_ca_system_score_codex":0.0007287633,"about_ca_system_score_gemma":0.0004617676,"threshold_uncertainty_score":0.017747998},"labels":[],"label_agreement":null},{"id":"W4256412979","doi":"10.2139/ssrn.1944193","title":"Do Investors Value Dividend Smoothing Stocks Differently?","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Smoothing; Dividend; Value (mathematics); Business; Financial economics; Dividend policy; Enterprise value; Economics; Monetary economics; Econometrics; Mathematics; Finance; Statistics","score_opus":0.02669407436384932,"score_gpt":0.2235957068428851,"score_spread":0.19690163247903578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256412979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989908,0.00040853507,0.00058527564,0.0016855432,0.0000291357,0.00000944677,0.00010913021,0.000010115602,0.0072548636],"genre_scores_gemma":[0.99805117,0.00020831086,0.00015903501,0.00033176134,0.000045552824,0.0000032132389,0.00008436296,0.0000054232537,0.0011111612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965346,0.00007192697,0.000023350287,0.000060422957,0.00010088502,0.00008991609],"domain_scores_gemma":[0.9908698,0.0039497474,0.0034568277,0.000506692,0.00049932866,0.00071756117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014552522,0.0002562467,0.0004346042,0.0006873125,0.00019040589,0.0027445417,0.00039220028,0.0018074457,0.0057138773],"category_scores_gemma":[0.0154706035,0.00022576889,0.00029435736,0.0006099171,0.00063841516,0.003286408,0.00045504578,0.0009184627,0.0010370516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022056913,0.0007306751,0.8677951,0.0001199547,0.0007526971,0.0006487046,0.0011026653,0.0026380473,0.010275286,0.016697057,0.0028518776,0.09418231],"study_design_scores_gemma":[0.00029239582,0.00040861123,0.9216224,0.00005458796,0.0003945129,0.00043485122,0.0019240938,0.0072730384,0.003540869,0.061492104,0.0025052696,0.000057253317],"about_ca_topic_score_codex":0.0011647063,"about_ca_topic_score_gemma":0.0017429962,"teacher_disagreement_score":0.0057138773,"about_ca_system_score_codex":0.0004841208,"about_ca_system_score_gemma":0.00022494208,"threshold_uncertainty_score":0.019114852},"labels":[],"label_agreement":null},{"id":"W4256455276","doi":"10.2139/ssrn.1100822","title":"How Informed are the Smart Guys? Evidence from Short-Term Institutional Trading Prior to Major Events","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Term (time); Business; Internet privacy; Computer security; Actuarial science; Law and economics; Monetary economics; Economics; Computer science","score_opus":0.03629531683892313,"score_gpt":0.2437219606209579,"score_spread":0.2074266437820348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256455276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99167174,0.0006134058,0.00018061668,0.0014758083,0.000030022478,0.000011742225,0.00034307435,0.000007324435,0.005666247],"genre_scores_gemma":[0.99760336,0.00042873595,0.00006481865,0.00018059798,0.000056421424,0.0000058401797,0.00043275178,0.0000065120666,0.0012210102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999052,0.0003194052,0.00009690338,0.00015206054,0.0001458675,0.00023366648],"domain_scores_gemma":[0.9369898,0.030642197,0.02160233,0.003661876,0.0021331438,0.004970649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022866,0.00020251371,0.0005134191,0.00067121704,0.0009244975,0.003153957,0.0009527135,0.0019932978,0.011415611],"category_scores_gemma":[0.032478306,0.00033615308,0.0002667669,0.001340586,0.0013503677,0.002856166,0.0015284299,0.00245913,0.0020065382],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027415343,0.001171974,0.95694995,0.00010520847,0.0002833348,0.000979087,0.0029985714,0.00071134814,0.00051157194,0.004164814,0.003322893,0.026059888],"study_design_scores_gemma":[0.00011983132,0.0005394377,0.9803293,0.000072952615,0.00019621105,0.0004466842,0.0057092863,0.0010638961,0.00067396404,0.00597135,0.004826216,0.000050839986],"about_ca_topic_score_codex":0.008715379,"about_ca_topic_score_gemma":0.011539017,"teacher_disagreement_score":0.011415611,"about_ca_system_score_codex":0.00032370145,"about_ca_system_score_gemma":0.00036942126,"threshold_uncertainty_score":0.038188994},"labels":[],"label_agreement":null},{"id":"W4256566945","doi":"10.2139/ssrn.3930228","title":"Noisy Factors","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Econometrics; Equity (law); Capital asset pricing model; Economics; Factor analysis; Behavioral economics; Financial economics; Finance; Political science","score_opus":0.018966795161653584,"score_gpt":0.20354872156089732,"score_spread":0.18458192639924373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256566945","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0870355,0.005039817,0.61038387,0.007143354,0.004476963,0.00020481837,0.003845177,0.002208234,0.2796623],"genre_scores_gemma":[0.8025122,0.0033627432,0.038118124,0.0014525624,0.0019035292,0.00016040256,0.0025225796,0.0010431719,0.14892472],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99867684,0.00022766166,0.00006301002,0.000520225,0.0003654584,0.00014683054],"domain_scores_gemma":[0.99611866,0.0015678753,0.00032928275,0.001091506,0.00067457854,0.00021805253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011829501,0.001013012,0.001053511,0.0014649524,0.0008699093,0.003628844,0.0008530039,0.0020108435,0.04485819],"category_scores_gemma":[0.018187197,0.000697116,0.0007177113,0.0014773521,0.001712308,0.0046291687,0.001534026,0.001723915,0.00977778],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023549075,0.000044854656,0.0021484785,0.00020417882,0.0000901673,0.0003747476,0.00033251126,0.021503998,0.0040014666,0.8867455,0.026026824,0.058291912],"study_design_scores_gemma":[0.000041518244,0.00006678468,0.0038805865,0.00012700802,0.00007307166,0.00060881174,0.00020541354,0.10280215,0.0027738472,0.8246094,0.06470652,0.00010497642],"about_ca_topic_score_codex":0.002313981,"about_ca_topic_score_gemma":0.0014050083,"teacher_disagreement_score":0.04485819,"about_ca_system_score_codex":0.00095713616,"about_ca_system_score_gemma":0.0007081146,"threshold_uncertainty_score":0.1500656},"labels":[],"label_agreement":null},{"id":"W4281401605","doi":"10.3386/w30071","title":"Idiosyncrasy as a Leading Indicator","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Oxford; Temple University","keywords":"Idiosyncrasy; Economics; Stock (firearms); Macro; Industrial production; Sample (material); Consumption (sociology); Econometrics; Economic indicator; Monetary economics; Macroeconomics; Financial economics; Geography","score_opus":0.38384891164272256,"score_gpt":0.4691510012687481,"score_spread":0.08530208962602553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281401605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96263695,0.00050650217,0.004980052,0.00088415947,0.00010347874,0.00008286703,0.007120467,0.00009692417,0.023588609],"genre_scores_gemma":[0.9878106,0.00020502134,0.0017844222,0.000107125124,0.00006639516,0.000046057732,0.0048682303,0.00004316132,0.005069069],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862146,0.0004279592,0.00015574423,0.00028495153,0.00033213393,0.00017780275],"domain_scores_gemma":[0.98249406,0.006139782,0.00659714,0.0019604615,0.0010331223,0.0017753531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002544304,0.00047842448,0.0003830569,0.0015117653,0.00037054782,0.0019370007,0.00035584107,0.00035959005,0.01278619],"category_scores_gemma":[0.013461023,0.00017231324,0.0006267778,0.0017590943,0.0004587076,0.0008156438,0.0020596227,0.001267341,0.0019920224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010460086,0.000033960874,0.98485976,0.000028939634,0.00009897085,0.000091310576,0.0002433969,0.00038663385,0.00036039512,0.0009881576,0.0018088722,0.010994953],"study_design_scores_gemma":[0.000008486192,0.00006865184,0.9921389,0.00003682151,0.000052503383,0.00015935338,0.0003715333,0.0015192119,0.00031091017,0.0012356713,0.004082402,0.000015572276],"about_ca_topic_score_codex":0.0030820214,"about_ca_topic_score_gemma":0.0037798584,"teacher_disagreement_score":0.01278619,"about_ca_system_score_codex":0.000348974,"about_ca_system_score_gemma":0.0004343936,"threshold_uncertainty_score":0.04277402},"labels":[],"label_agreement":null},{"id":"W4281681547","doi":"10.1108/jrf-03-2021-0037","title":"The cross-section of expected stock returns and components of idiosyncratic volatility","year":2022,"lang":"en","type":"article","venue":"The Journal of Risk Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Stock (firearms); Economics; Econometrics; Portfolio; Volatility (finance); Financial economics; Predictability; Systematic risk; Modern portfolio theory; Covariance; Capital asset pricing model; Mathematics; Statistics","score_opus":0.02672392019308921,"score_gpt":0.2283950702890412,"score_spread":0.201671150095952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281681547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843306,0.00056684075,0.011587069,0.00013907613,0.000015954989,0.00001884107,0.00036084442,0.000047665246,0.0029330445],"genre_scores_gemma":[0.99850035,0.00017155372,0.0007082118,0.000019791403,0.000019447549,0.0000069249454,0.00023493204,0.0000054846278,0.00033332224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920255,0.00018214788,0.000111676985,0.00018946273,0.0002295378,0.00008456756],"domain_scores_gemma":[0.9892552,0.005596614,0.0031071464,0.0009499334,0.00079138554,0.0002996659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017305936,0.00036582863,0.0004552369,0.0013302104,0.00014612317,0.0013231895,0.00034313265,0.00039403586,0.0022148602],"category_scores_gemma":[0.011567316,0.00022454414,0.00064945617,0.0015993433,0.0003162466,0.0008878811,0.00067568093,0.00047588584,0.0004096522],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051647035,0.000041919684,0.9738342,0.000040456616,0.00046420755,0.00014800335,0.00006816044,0.0061728316,0.00090178545,0.0030303148,0.00013434963,0.015112129],"study_design_scores_gemma":[0.000004871991,0.00010452312,0.9732868,0.000029459643,0.00015106247,0.0003134517,0.0001126073,0.018662289,0.0011867896,0.0056293453,0.0004990834,0.000019579376],"about_ca_topic_score_codex":0.0013298456,"about_ca_topic_score_gemma":0.0010323657,"teacher_disagreement_score":0.0022148602,"about_ca_system_score_codex":0.0004013519,"about_ca_system_score_gemma":0.00036384008,"threshold_uncertainty_score":0.009152353},"labels":[],"label_agreement":null},{"id":"W4281687903","doi":"10.3390/jrfm15060249","title":"The Performance of Shrinkage Estimator for Stock Portfolio Selection in Case of High Dimensionality","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Portfolio optimization; Covariance matrix; Econometrics; Estimator; Modern portfolio theory; Shrinkage estimator; Curse of dimensionality; Sharpe ratio; Shrinkage; Post-modern portfolio theory; Volatility (finance); Economics; Computer science; Mathematics; Mathematical optimization; Replicating portfolio; Financial economics; Statistics; Bias of an estimator; Minimum-variance unbiased estimator","score_opus":0.011974338161539106,"score_gpt":0.21002197294163982,"score_spread":0.1980476347801007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281687903","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.101525806,0.0022671344,0.8921777,0.0005589255,0.00012647863,0.00006603848,0.00010684577,0.0006122365,0.002558856],"genre_scores_gemma":[0.80450153,0.0017955715,0.18965165,0.00027469412,0.00025366392,0.00013784025,0.000771687,0.00015102135,0.0024622953],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99589974,0.0018338092,0.00028865223,0.00060955994,0.0011374137,0.00023079627],"domain_scores_gemma":[0.98852855,0.008047097,0.00065250584,0.0008525041,0.0016951408,0.00022413833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008538326,0.0010336831,0.0014497484,0.0014711609,0.00046063555,0.0011538634,0.0008773471,0.0011480411,0.0011579522],"category_scores_gemma":[0.03254363,0.00040463038,0.00084514765,0.00097559905,0.0007314462,0.002367082,0.0013908208,0.0015788722,0.0004959487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072731776,0.00019227412,0.035953246,0.00033626423,0.00053861545,0.00046118707,0.00031458295,0.42029,0.012215081,0.017686183,0.0042394483,0.5070459],"study_design_scores_gemma":[0.000030787505,0.000094486626,0.002823098,0.000022317661,0.00003518653,0.00015095263,0.000034562745,0.9895866,0.0026047921,0.0038841483,0.0007073001,0.000025705727],"about_ca_topic_score_codex":0.0018945121,"about_ca_topic_score_gemma":0.0010189008,"teacher_disagreement_score":0.008538326,"about_ca_system_score_codex":0.0003602241,"about_ca_system_score_gemma":0.0009881355,"threshold_uncertainty_score":0.045155466},"labels":[],"label_agreement":null},{"id":"W4281770882","doi":"10.1016/j.frl.2022.102992","title":"How easy is it for investment managers to deploy their talent in green and brown stocks?","year":2022,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Group for Research in Decision Analysis; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Greenhouse gas; Investment (military); Index (typography); Business; Set (abstract data type); Natural resource economics; Economics; Econometrics; Financial economics; Monetary economics; Industrial organization; Ecology; Computer science","score_opus":0.09983746079560855,"score_gpt":0.2827101978046767,"score_spread":0.18287273700906814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281770882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7229785,0.0020407862,0.0047500883,0.14179598,0.0011080382,0.00006955016,0.00010938061,0.00018094818,0.12696679],"genre_scores_gemma":[0.9838599,0.00059090386,0.0011719887,0.004837594,0.00023904907,0.000017388527,0.000031904347,0.000026806983,0.009224533],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980323,0.0006171435,0.000058996706,0.00014975335,0.00043700804,0.0007047993],"domain_scores_gemma":[0.97985405,0.005164955,0.0028289903,0.00041623993,0.0032231917,0.008512583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005839064,0.00023410926,0.00027723104,0.0008403395,0.0013916979,0.006056692,0.0006385795,0.0019081769,0.010638328],"category_scores_gemma":[0.03301868,0.0001727543,0.00021729319,0.0003608521,0.0017280665,0.0054415846,0.0016273389,0.0018837283,0.002740199],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074454845,0.0010748781,0.24538939,0.0002558712,0.00024496563,0.00072389306,0.0059046433,0.0030435293,0.0025110557,0.079857774,0.09387188,0.5663776],"study_design_scores_gemma":[0.0003202511,0.0014369386,0.46900633,0.0012718147,0.00023392147,0.0007477243,0.086506486,0.013396499,0.006850768,0.26631293,0.15361978,0.00029651547],"about_ca_topic_score_codex":0.007219344,"about_ca_topic_score_gemma":0.010439164,"teacher_disagreement_score":0.010638328,"about_ca_system_score_codex":0.0018248188,"about_ca_system_score_gemma":0.0029964251,"threshold_uncertainty_score":0.03558874},"labels":[],"label_agreement":null},{"id":"W4281944475","doi":"10.1093/jjfinec/nbac016","title":"Time Variation in Cash Flows and Discount Rates","year":2022,"lang":"en","type":"article","venue":"Journal of Financial Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Conditional variance; Economics; Econometrics; Portfolio; Variance (accounting); Cash flow; Market portfolio; Variance decomposition of forecast errors; Benchmark (surveying); Conditional expectation; Asset (computer security); Financial economics; Capital asset pricing model; Autoregressive conditional heteroskedasticity; Finance; Computer science; Volatility (finance)","score_opus":0.022555540447478564,"score_gpt":0.20387999468911683,"score_spread":0.18132445424163826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281944475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.823015,0.0023832978,0.16511449,0.0009743469,0.00017002645,0.000040027233,0.0010060539,0.00015647909,0.0071402825],"genre_scores_gemma":[0.99474674,0.00043743395,0.002701567,0.000027670098,0.000063629785,0.000008588079,0.00026405323,0.000017440363,0.0017327084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994968,0.00012360595,0.000035080342,0.00014574968,0.00011769549,0.00008101306],"domain_scores_gemma":[0.990944,0.005152599,0.0025508613,0.00045953857,0.00059560087,0.0002972473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002909791,0.00044498697,0.00042796077,0.0010534935,0.00018733637,0.001703226,0.0005740268,0.0008486834,0.0023331493],"category_scores_gemma":[0.018960284,0.00030156825,0.00053551886,0.00092726527,0.00078433665,0.001717034,0.00052668236,0.0013364155,0.00017594459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004634547,0.000121506906,0.110874474,0.00015538117,0.0004985418,0.0008689709,0.00044303676,0.4294732,0.0065172263,0.40257215,0.0021009734,0.045911018],"study_design_scores_gemma":[0.0000246793,0.00008539629,0.07609297,0.000055245942,0.00010022809,0.00022928897,0.00010852277,0.7626174,0.0018830701,0.15565492,0.0030387356,0.000109463675],"about_ca_topic_score_codex":0.003209714,"about_ca_topic_score_gemma":0.0016638372,"teacher_disagreement_score":0.003209714,"about_ca_system_score_codex":0.000781467,"about_ca_system_score_gemma":0.0003656965,"threshold_uncertainty_score":0.015388668},"labels":[],"label_agreement":null},{"id":"W4282962294","doi":"10.1111/fire.12310","title":"Option trading and returns versus the 52‐week high and low","year":2022,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stock (firearms); Stock price; Financial economics; Economics; Monetary economics; Stock trading; Stock exchange; Business; Finance; Stock market","score_opus":0.0461702537043675,"score_gpt":0.22448063108329377,"score_spread":0.17831037737892627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282962294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98990285,0.0016448405,0.0010509088,0.00018092149,0.000026699283,0.000006192989,0.00007496202,0.000014715525,0.007097956],"genre_scores_gemma":[0.9989397,0.00024396383,0.000115774514,0.000032719327,0.000018697732,0.0000030223785,0.000038539223,0.0000019424317,0.00060564367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997801,0.000055761408,0.000018331293,0.00003187508,0.00007735484,0.000036564554],"domain_scores_gemma":[0.99824286,0.0005837173,0.00074203365,0.000113013055,0.00015543417,0.0001629239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008733872,0.00015356093,0.0002959204,0.0002960491,0.00012420735,0.0008627759,0.00016007684,0.0003930366,0.0024736654],"category_scores_gemma":[0.003583221,0.00006927889,0.00016183057,0.00035463358,0.00030294395,0.00058129244,0.00042912542,0.0005904287,0.00034181797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008321776,0.0008893401,0.55670244,0.00070383336,0.00068100274,0.0027009961,0.0007742994,0.01221577,0.07282776,0.033801742,0.0040310947,0.30635005],"study_design_scores_gemma":[0.000080145146,0.001194383,0.95914704,0.00008469746,0.00016318516,0.0008659664,0.00033536326,0.007863148,0.008045733,0.01708258,0.0050893435,0.000048408274],"about_ca_topic_score_codex":0.0004520747,"about_ca_topic_score_gemma":0.00042269824,"teacher_disagreement_score":0.0024736654,"about_ca_system_score_codex":0.0002008237,"about_ca_system_score_gemma":0.00010164021,"threshold_uncertainty_score":0.008275211},"labels":[],"label_agreement":null},{"id":"W4283321829","doi":"10.1108/ijmf-01-2022-0040","title":"Robust market timing tests of Canadian hybrid mutual funds","year":2022,"lang":"en","type":"article","venue":"International Journal of Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; Brock University","funders":"","keywords":"Econometrics; Market timing; Economics; Stock (firearms); Bond; Resampling; Stock market index; Stock market; Accounting; Statistics; Initial public offering; Finance; Mathematics","score_opus":0.04417860370076171,"score_gpt":0.21699689550015225,"score_spread":0.17281829179939054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283321829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98647225,0.00034361944,0.0049856114,0.00014543325,0.00001247983,0.000041884534,0.0014452715,0.000110403584,0.006442988],"genre_scores_gemma":[0.9972669,0.00003551299,0.0014286671,0.000013023932,0.000008102692,0.000010623642,0.0005953572,0.0000083281175,0.00063351024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966882,0.0006673186,0.00021193783,0.00049257523,0.0015746962,0.00036530767],"domain_scores_gemma":[0.97731704,0.008809086,0.0059053237,0.0019100687,0.0050859824,0.00097249006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006251355,0.0003051813,0.00041388662,0.0024667892,0.000707466,0.0013326736,0.001232243,0.00034050093,0.003833771],"category_scores_gemma":[0.051804814,0.00013031582,0.00049613736,0.0025989,0.0006870273,0.0008610927,0.0010023061,0.000318591,0.00025208984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001201251,0.00009313047,0.79979885,0.0001792227,0.00047844913,0.00048124677,0.0012397866,0.039481603,0.0027229914,0.03245093,0.0037507517,0.1181219],"study_design_scores_gemma":[0.0000892772,0.00024939224,0.87348366,0.000053360458,0.00017787279,0.0002125345,0.0008286021,0.10172457,0.005704608,0.008950439,0.0084435195,0.00008208247],"about_ca_topic_score_codex":0.38997024,"about_ca_topic_score_gemma":0.3480815,"teacher_disagreement_score":0.61002976,"about_ca_system_score_codex":0.0055527175,"about_ca_system_score_gemma":0.0038744062,"threshold_uncertainty_score":0.77540076},"labels":[],"label_agreement":null},{"id":"W4283517947","doi":"10.1111/1911-3846.12804","title":"The Effect of Reporting Opacity on Trading Opacity: New Evidence from American Depositary Receipt Trades in Dark Pools*","year":2022,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Opacity; Business; Corporate governance; Receipt; Sample (material); Accounting; Dark liquidity; Transparency (behavior); Monetary economics; Economics; Algorithmic trading; Finance; Alternative trading system; Political science; Chemistry; Law","score_opus":0.13413988043223538,"score_gpt":0.3268724639157031,"score_spread":0.19273258348346775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283517947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990194,0.000113298964,0.00011239626,0.00005020927,0.0000019672107,0.0000025198058,0.00013928437,0.0000015552051,0.0005594154],"genre_scores_gemma":[0.99948347,0.000080154874,0.00008235933,0.0000217968,0.000014427415,0.0000021139028,0.00020039492,0.0000018097905,0.00011344471],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892336,0.0004114458,0.00013703544,0.00016042992,0.00023632009,0.00013127868],"domain_scores_gemma":[0.9569728,0.013007294,0.023859723,0.0028125716,0.0019487038,0.00139887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024759867,0.00015143448,0.00022970547,0.0014830924,0.00042400236,0.0012532562,0.00038966327,0.00028525293,0.0020748966],"category_scores_gemma":[0.011617209,0.00014941793,0.00031629333,0.0027250603,0.00093260314,0.0006894811,0.0011549405,0.0005450984,0.00018038368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097379954,0.00004370721,0.99637383,0.000011433,0.00004873381,0.00004354549,0.00036198195,0.000042719657,0.00012421611,0.00011322406,0.00010552706,0.0026336834],"study_design_scores_gemma":[0.000003341773,0.00002575155,0.9986847,0.0000089134855,0.000037405658,0.000037613063,0.00049791776,0.00017880897,0.00011909383,0.00009659323,0.0003059596,0.000003873339],"about_ca_topic_score_codex":0.010160504,"about_ca_topic_score_gemma":0.012124554,"teacher_disagreement_score":0.010160504,"about_ca_system_score_codex":0.0002753025,"about_ca_system_score_gemma":0.0002693402,"threshold_uncertainty_score":0.020202756},"labels":[],"label_agreement":null},{"id":"W4283522335","doi":"10.3390/jrfm15070280","title":"Surviving Black Swans: The Challenge of Market Timing Systems","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Black swan theory; Market timing; Portfolio; Index (typography); Capital market line; Financial economics; Index fund; Economics; Crash; Trading strategy; Investment strategy; Market portfolio; Business; Finance; Stock market; Market depth; Institutional investor; Corporate governance; Computer science; Geography; Mathematics","score_opus":0.02302445434995069,"score_gpt":0.19687889932472524,"score_spread":0.17385444497477456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283522335","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10129942,0.0080239605,0.840837,0.023187105,0.0015783459,0.00018630564,0.00071406,0.0039699273,0.020203814],"genre_scores_gemma":[0.83090264,0.0025516427,0.1577053,0.0018959903,0.0013490397,0.0001312039,0.00052094157,0.00070454256,0.0042385804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942064,0.0021116186,0.00048163475,0.0013582521,0.0014794619,0.00036257642],"domain_scores_gemma":[0.96543545,0.018649857,0.003979689,0.00700066,0.0035850094,0.0013493701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011731098,0.00078120036,0.0016798603,0.0011681324,0.0015198071,0.007863024,0.0029192178,0.003016895,0.0047261347],"category_scores_gemma":[0.06328751,0.00071720127,0.00080406904,0.0009417246,0.0033667295,0.010203447,0.003229235,0.00416723,0.0020679268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052394264,0.00021591476,0.009149102,0.00038580823,0.00019362912,0.0002863886,0.00082938233,0.18863955,0.0048063295,0.44408616,0.015218604,0.3356652],"study_design_scores_gemma":[0.00011314874,0.00014741441,0.0010731998,0.000084635445,0.00004000703,0.00017164451,0.0001507109,0.30101952,0.0023402153,0.68283296,0.011952143,0.0000744109],"about_ca_topic_score_codex":0.0031152614,"about_ca_topic_score_gemma":0.0011719146,"teacher_disagreement_score":0.011731098,"about_ca_system_score_codex":0.0017593462,"about_ca_system_score_gemma":0.0024369482,"threshold_uncertainty_score":0.062040746},"labels":[],"label_agreement":null},{"id":"W4283766374","doi":"10.1108/jsit-01-2020-0006","title":"Opening the black boxes: financial algorithms and multi-paradigmatic research in information technology","year":2022,"lang":"en","type":"article","venue":"Journal of Systems and Information Technology","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Disconnection; Computer science; Financial market; Crash; Originality; Finance; Scope (computer science); Data science; Financial services; Financial modeling; Information system; Algorithm; Economics; Sociology","score_opus":0.040786332083463515,"score_gpt":0.26026574929047025,"score_spread":0.21947941720700673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283766374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05486014,0.010023236,0.7790558,0.06780247,0.0010324246,0.00014111692,0.000087876055,0.00029825149,0.086698696],"genre_scores_gemma":[0.87996227,0.004347728,0.10733181,0.0028649562,0.00068572804,0.0002751252,0.000055493114,0.00011988262,0.0043569882],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98908615,0.0071014427,0.0005009545,0.0011158566,0.0017158005,0.00047973497],"domain_scores_gemma":[0.944226,0.04395313,0.0024091194,0.0059568873,0.0025931974,0.00086164277],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.017371392,0.0007379094,0.0011311882,0.0036304768,0.0030636934,0.011840042,0.0024976707,0.0049598464,0.0048048296],"category_scores_gemma":[0.031537253,0.0005226127,0.0012705748,0.0027004315,0.039617,0.027092893,0.0063078273,0.006301602,0.0006991349],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001231278,0.000012939,0.00018766253,0.00006112956,0.000007687966,0.000034365745,0.00076434365,0.0011270017,0.000075495016,0.9913135,0.00034126706,0.006062361],"study_design_scores_gemma":[0.0000068718127,0.000014887374,0.00009593243,0.000078113626,0.000003963371,0.00003662327,0.0004639465,0.005193403,0.00016550411,0.9881875,0.0057426994,0.00001060017],"about_ca_topic_score_codex":0.0009967544,"about_ca_topic_score_gemma":0.00043847234,"teacher_disagreement_score":0.9969363,"about_ca_system_score_codex":0.0049476223,"about_ca_system_score_gemma":0.0038800563,"threshold_uncertainty_score":0.09186977},"labels":[],"label_agreement":null},{"id":"W4284883529","doi":"10.1057/s41267-022-00534-6","title":"Event studies in international finance research","year":2022,"lang":"en","type":"article","venue":"Journal of International Business Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Alberta","funders":"","keywords":"Event study; Economics; International business; Corporate finance; Context (archaeology); Leverage (statistics); Event (particle physics); Finance; International finance; Financial economics; Stock (firearms)","score_opus":0.1912107016688592,"score_gpt":0.3790690347075059,"score_spread":0.1878583330386467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284883529","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06779049,0.6674412,0.050891135,0.061446156,0.008048773,0.00013536353,0.0010925372,0.00018875775,0.14296558],"genre_scores_gemma":[0.7475321,0.20644373,0.011224514,0.0040439786,0.015009878,0.00023781226,0.0009849413,0.00011689548,0.014406158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9948146,0.0039655003,0.00026792882,0.00028747474,0.0004048289,0.00025961542],"domain_scores_gemma":[0.91971797,0.07075435,0.003112769,0.0020543912,0.002062788,0.0022977942],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009355404,0.0004593107,0.0012039692,0.006700108,0.0014812386,0.0061286283,0.00095759676,0.0023456127,0.014848485],"category_scores_gemma":[0.02900045,0.00040713412,0.00045713593,0.0181146,0.0034240757,0.00837737,0.0015067369,0.0031476545,0.0008694805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001446821,0.00046243228,0.015857274,0.0009195314,0.00012298067,0.00023665298,0.0021268434,0.0021079693,0.00013175441,0.79682976,0.052310865,0.12874927],"study_design_scores_gemma":[0.00007862918,0.00016402989,0.022315761,0.0013201778,0.000095155294,0.00028908672,0.006171617,0.0048875823,0.00014036603,0.76229656,0.20219001,0.00005097231],"about_ca_topic_score_codex":0.0031194123,"about_ca_topic_score_gemma":0.0037865473,"teacher_disagreement_score":0.9906446,"about_ca_system_score_codex":0.0015880896,"about_ca_system_score_gemma":0.0017072764,"threshold_uncertainty_score":0.04967308},"labels":[],"label_agreement":null},{"id":"W4284894801","doi":"10.1002/ijfe.2668","title":"Asset allocation, limited participation and <scp>flight‐to‐quality</scp> under ambiguity of correlation","year":2022,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Diversification (marketing strategy); Economics; Ambiguity; Microeconomics; Quality (philosophy); Asset (computer security); Risk aversion (psychology); Asset allocation; Econometrics; Financial economics; Expected utility hypothesis; Business; Computer science; Marketing; Physics","score_opus":0.04594275601413126,"score_gpt":0.27295291172974023,"score_spread":0.22701015571560898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284894801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99216264,0.000029148192,0.0057561635,0.00017004642,0.0000020283064,0.000011229959,0.00002181251,0.000007661315,0.0018392892],"genre_scores_gemma":[0.99961877,0.00000661807,0.00023413441,0.00000719363,0.0000016172313,0.0000028478137,0.000005044489,5.575347e-7,0.00012322728],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991623,0.0002846978,0.000056250217,0.00012990953,0.00011841785,0.00024851278],"domain_scores_gemma":[0.9831502,0.008437537,0.005629277,0.0009475686,0.00054440805,0.0012910286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030310913,0.00022171151,0.0005227921,0.00040385927,0.00040052974,0.0017487287,0.00049123535,0.0010654817,0.0023795995],"category_scores_gemma":[0.016901534,0.00020943691,0.0003145816,0.00027591788,0.0012925873,0.0016798107,0.001193991,0.0009196325,0.00013379482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032647073,0.0011856257,0.3196235,0.00026410428,0.00040613083,0.003412901,0.0020483148,0.24610852,0.029266154,0.34977517,0.0015364198,0.04310846],"study_design_scores_gemma":[0.00029499375,0.00079901004,0.16067606,0.000044281205,0.00011390822,0.0006916738,0.0015335943,0.5629915,0.0055181026,0.26656568,0.00065726746,0.00011391127],"about_ca_topic_score_codex":0.0008774198,"about_ca_topic_score_gemma":0.0005040719,"teacher_disagreement_score":0.0030310913,"about_ca_system_score_codex":0.0006053887,"about_ca_system_score_gemma":0.00041928902,"threshold_uncertainty_score":0.016030133},"labels":[],"label_agreement":null},{"id":"W4284968656","doi":"10.1016/j.jempfin.2022.07.001","title":"Long-horizon stock valuation and return forecasts based on demographic projections","year":2022,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Econometrics; Economics; Stock (firearms); Valuation (finance); Time horizon; Regression; Statistics; Mathematics; Finance; Geography","score_opus":0.07841996179100713,"score_gpt":0.28557399399084493,"score_spread":0.2071540321998378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284968656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855942,0.00016036966,0.008901421,0.00033696304,0.000040541923,0.000018530158,0.002422615,0.000068677844,0.0024567253],"genre_scores_gemma":[0.99666864,0.000099169076,0.0012794493,0.000012536403,0.000018851522,0.000005532225,0.0014407422,0.0000033719782,0.0004716993],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985766,0.000048315742,0.000009919558,0.000027512633,0.000031781266,0.000024775482],"domain_scores_gemma":[0.99773765,0.0010979399,0.00039403967,0.00010542871,0.0004885558,0.00017627285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011406542,0.0002656299,0.00022769067,0.00059480127,0.00014171655,0.0006031799,0.00025853558,0.00039705486,0.002010276],"category_scores_gemma":[0.006788475,0.00015977431,0.00027678022,0.0004669391,0.00010778715,0.0010829391,0.00028765734,0.0004167175,0.0005721257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007708839,0.00015105479,0.4887574,0.000042985506,0.00017247988,0.00041890173,0.0001649976,0.43957102,0.0018318439,0.0044442085,0.005384813,0.05828941],"study_design_scores_gemma":[0.000020862715,0.000096564785,0.14157869,0.000019166553,0.00003843093,0.000080747326,0.00012634567,0.8524049,0.0008391634,0.0038905703,0.00087678933,0.000027790373],"about_ca_topic_score_codex":0.0055858735,"about_ca_topic_score_gemma":0.008149952,"teacher_disagreement_score":0.0055858735,"about_ca_system_score_codex":0.00040503536,"about_ca_system_score_gemma":0.00036535953,"threshold_uncertainty_score":0.0111067295},"labels":[],"label_agreement":null},{"id":"W4285045662","doi":"10.1016/j.najef.2022.101765","title":"Idiosyncratic volatility puzzle exists at the country level","year":2022,"lang":"en","type":"article","venue":"The North American Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Volatility (finance); Economics; Volatility risk premium; Volatility swap; Stock (firearms); Stock market volatility; Systematic risk; Econometrics; Implied volatility; Financial economics; Volatility smile; Stock market; Monetary economics","score_opus":0.02879060698033911,"score_gpt":0.20014964583420317,"score_spread":0.17135903885386405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285045662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9560629,0.002745585,0.0067223553,0.0060500274,0.00013999158,0.000010882832,0.0013641166,0.00018606601,0.026718067],"genre_scores_gemma":[0.997006,0.00055062963,0.0002496089,0.00022768884,0.000059220223,0.0000026951857,0.0004507369,0.00002305544,0.001430389],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996309,0.00006773878,0.000028818647,0.000117308286,0.00006310909,0.00009205772],"domain_scores_gemma":[0.9956377,0.0012666746,0.0018480307,0.00055143156,0.00039742712,0.00029878542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086752046,0.00023945207,0.0012658553,0.0011172812,0.00051075255,0.0041536256,0.00038528413,0.0011938483,0.0047783097],"category_scores_gemma":[0.004480904,0.00031071712,0.0007038453,0.002269189,0.0007263304,0.0030955593,0.0015009479,0.0016383835,0.00073713274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007919162,0.00014037445,0.7312402,0.00024962574,0.0021793426,0.0025079725,0.0014251849,0.017369354,0.0040242053,0.14359821,0.017340725,0.079132915],"study_design_scores_gemma":[0.00011151214,0.00016776282,0.8110679,0.00019372001,0.0011368858,0.0018467573,0.0029356554,0.018052097,0.0019490861,0.14376128,0.018649152,0.00012817391],"about_ca_topic_score_codex":0.0026890223,"about_ca_topic_score_gemma":0.003034876,"teacher_disagreement_score":0.0047783097,"about_ca_system_score_codex":0.00036998923,"about_ca_system_score_gemma":0.00046945867,"threshold_uncertainty_score":0.015985012},"labels":[],"label_agreement":null},{"id":"W4285070776","doi":"10.2139/ssrn.4128064","title":"Cryptocurrency Disruption and Investor Reaction to Earnings Announcements","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cryptocurrency; Business; Earnings; Monetary economics; Financial system; Economics; Finance; Computer science; Computer security","score_opus":0.018410105109165166,"score_gpt":0.22163191304525512,"score_spread":0.20322180793608996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285070776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965663,0.00013189267,0.00012764802,0.00043015726,0.000030907293,0.000008579699,0.00016256994,0.000013635746,0.002528284],"genre_scores_gemma":[0.99907196,0.000052122075,0.000029276758,0.000040991734,0.00002472119,0.0000019514275,0.00012673732,0.0000043098753,0.00064784655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995215,0.00010506739,0.000053822103,0.000060513357,0.0001309278,0.00012812426],"domain_scores_gemma":[0.9730872,0.012037572,0.011167558,0.000780792,0.0011498852,0.001777014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013037359,0.00016261697,0.00027905178,0.0005339126,0.00024807418,0.0021468634,0.0002787864,0.001092128,0.0053133946],"category_scores_gemma":[0.02686851,0.00014870173,0.0001790633,0.00064629473,0.00028099696,0.0007286512,0.0005076366,0.0013417618,0.000830072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0068448693,0.0009010514,0.95764214,0.0000760718,0.00018657856,0.0008300938,0.00061864813,0.00527566,0.0039745863,0.0035542187,0.0027986479,0.017297506],"study_design_scores_gemma":[0.00010649362,0.0005631042,0.97814596,0.00002181814,0.00011789568,0.00024357528,0.001029342,0.0136286225,0.0015700726,0.0025365944,0.002002088,0.000034485856],"about_ca_topic_score_codex":0.004056516,"about_ca_topic_score_gemma":0.0042928546,"teacher_disagreement_score":0.0053133946,"about_ca_system_score_codex":0.0006252627,"about_ca_system_score_gemma":0.00036607584,"threshold_uncertainty_score":0.017775059},"labels":[],"label_agreement":null},{"id":"W4285112951","doi":"10.2139/ssrn.4110516","title":"Option Auctions","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; HEC Montréal","funders":"","keywords":"Common value auction; Business; Economics; Mathematical economics; Microeconomics","score_opus":0.016374126291675846,"score_gpt":0.19988242957499647,"score_spread":0.18350830328332063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285112951","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044123307,0.0021312383,0.18729411,0.0037299332,0.0010367632,0.00018648244,0.0010552524,0.0011102338,0.7593327],"genre_scores_gemma":[0.52925444,0.0015446228,0.03100422,0.0007675109,0.00075617875,0.00015095124,0.001147673,0.0002706759,0.43510365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993469,0.0001785835,0.000037665617,0.00010416705,0.00027244474,0.000060257942],"domain_scores_gemma":[0.99878305,0.00039805615,0.00009482999,0.00037467235,0.00020514734,0.0001443166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074903376,0.00049071305,0.0006154845,0.00074761675,0.00061990926,0.0035456272,0.0008196235,0.0013907499,0.08835506],"category_scores_gemma":[0.0043372884,0.0003067331,0.0005498276,0.0009351831,0.000648372,0.0037585334,0.0009620562,0.0018999722,0.015244103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011382926,0.00013245185,0.00023583946,0.000060594808,0.000024863151,0.00010318569,0.000035667264,0.002332793,0.0012582147,0.8956,0.027864544,0.0722381],"study_design_scores_gemma":[0.00006363664,0.00005607736,0.00032345008,0.00002963027,0.000017866809,0.00045200138,0.000025124325,0.016960662,0.00073295034,0.9274455,0.053876035,0.00001721825],"about_ca_topic_score_codex":0.00020544289,"about_ca_topic_score_gemma":0.00023343968,"teacher_disagreement_score":0.08835506,"about_ca_system_score_codex":0.00047023976,"about_ca_system_score_gemma":0.0005606779,"threshold_uncertainty_score":0.2955771},"labels":[],"label_agreement":null},{"id":"W4285150428","doi":"10.2139/ssrn.4099611","title":"Economic Policy Uncertainty and Insider Trading","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College Saint-Jean; University of Alberta","funders":"","keywords":"Insider trading; Economics; Business; Financial economics; Monetary economics; Finance","score_opus":0.015072073583746555,"score_gpt":0.2145829162326687,"score_spread":0.19951084264892216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285150428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8952936,0.007781832,0.019536963,0.020418618,0.00028143582,0.000020766613,0.0004343895,0.0001036886,0.056128696],"genre_scores_gemma":[0.99686736,0.0009958604,0.0001823056,0.00015926565,0.00011456267,0.0000024290855,0.000033335884,0.000011519167,0.0016332265],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992182,0.00032977544,0.00004970567,0.00012255526,0.0001264803,0.000153299],"domain_scores_gemma":[0.96951395,0.023380792,0.0049814405,0.0007535693,0.00063647603,0.0007337835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028416556,0.00026177344,0.00079214346,0.00070845644,0.0005229738,0.0053366735,0.000418978,0.0027694588,0.0063806674],"category_scores_gemma":[0.030906072,0.00033581292,0.0003493593,0.0008216336,0.0013918041,0.004968368,0.0008655813,0.0024019228,0.0004464886],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001173288,0.00034744266,0.052009575,0.0002403337,0.0002836032,0.0017226746,0.001197092,0.13270211,0.0013356373,0.75242084,0.009491373,0.047076017],"study_design_scores_gemma":[0.00004745327,0.00010039106,0.022736238,0.0000789354,0.00009046408,0.00024618398,0.0009786632,0.07734509,0.0005716377,0.8931658,0.0045727966,0.00006630674],"about_ca_topic_score_codex":0.0019837806,"about_ca_topic_score_gemma":0.0013992551,"teacher_disagreement_score":0.0063806674,"about_ca_system_score_codex":0.0012177414,"about_ca_system_score_gemma":0.0005813866,"threshold_uncertainty_score":0.021345496},"labels":[],"label_agreement":null},{"id":"W4285158247","doi":"10.2139/ssrn.4124882","title":"A Multiple Risk Aversions Utility. An Example on ESG Investments","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Business; Natural resource economics; Environmental science; Risk analysis (engineering); Economics","score_opus":0.03846010888032844,"score_gpt":0.21512516057440123,"score_spread":0.1766650516940728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285158247","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20073605,0.0025369667,0.30088225,0.0073692733,0.00017242086,0.000128413,0.0010887721,0.00043933935,0.48664656],"genre_scores_gemma":[0.91869706,0.00093751546,0.024863943,0.0001562163,0.000060507344,0.00005055134,0.00013497673,0.000033751006,0.05506544],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996768,0.00016240317,0.000009212803,0.000030138846,0.000060986047,0.00006042057],"domain_scores_gemma":[0.99961627,0.00020819249,0.000028737919,0.000047362657,0.000047615827,0.00005173482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006947996,0.00059493934,0.00052310515,0.0006772391,0.00065324723,0.0017918036,0.0007141788,0.0017374941,0.0133041125],"category_scores_gemma":[0.0020703813,0.00021041727,0.0007753293,0.0010339608,0.0007926516,0.0014300967,0.00095383707,0.0016925669,0.0007948811],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044934877,0.000027914406,0.0002954371,0.000024743036,0.00001104003,0.00025462487,0.0000790205,0.008689529,0.00027389888,0.9757528,0.003032137,0.011513876],"study_design_scores_gemma":[0.000051231294,0.000040125255,0.0007032755,0.000027900709,0.000015058239,0.00034324583,0.00008867132,0.082154915,0.0002337045,0.90554327,0.010781532,0.000017072614],"about_ca_topic_score_codex":0.0047209673,"about_ca_topic_score_gemma":0.0034213758,"teacher_disagreement_score":0.0133041125,"about_ca_system_score_codex":0.0013401792,"about_ca_system_score_gemma":0.00044881203,"threshold_uncertainty_score":0.04450667},"labels":[],"label_agreement":null},{"id":"W4285224165","doi":"10.2139/ssrn.4111417","title":"The Volatility of Stock Investor Returns","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Volatility (finance); Financial economics; Stock (firearms); Business; Economics; Monetary economics; Geography","score_opus":0.019455195677036453,"score_gpt":0.20608003035240355,"score_spread":0.18662483467536709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285224165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869299,0.0009415073,0.0066266847,0.0011066236,0.00006963938,0.0000057395487,0.00034147088,0.000058983314,0.003919374],"genre_scores_gemma":[0.99867755,0.00021909898,0.00014549847,0.000026232055,0.000053684424,0.0000015317659,0.00013808624,0.000010711541,0.0007275666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996294,0.00008361116,0.00003385466,0.0000710374,0.00012146699,0.00006065151],"domain_scores_gemma":[0.9911937,0.00565031,0.001852999,0.00041472883,0.0005591993,0.00032899613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001416628,0.0002093844,0.0003835848,0.000981085,0.00015833367,0.002261496,0.00037433286,0.0010954472,0.0022587292],"category_scores_gemma":[0.018302064,0.0003032939,0.00034970453,0.000828655,0.0004038273,0.0021047946,0.0004774896,0.0010902783,0.00051141484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00105124,0.00025353857,0.66303706,0.00017014149,0.00078166544,0.0018702886,0.0007792524,0.06929337,0.019411245,0.15983242,0.00707262,0.07644715],"study_design_scores_gemma":[0.00005037522,0.00024963968,0.58481,0.00006218849,0.00018334288,0.0013939422,0.00031215718,0.31217256,0.004567671,0.093288414,0.0028107427,0.00009886381],"about_ca_topic_score_codex":0.0011033093,"about_ca_topic_score_gemma":0.0011215941,"teacher_disagreement_score":0.002261496,"about_ca_system_score_codex":0.0004514313,"about_ca_system_score_gemma":0.00023244269,"threshold_uncertainty_score":0.0075561404},"labels":[],"label_agreement":null},{"id":"W4285234374","doi":"10.2139/ssrn.4140701","title":"International Corporate Bond Market: Uncovering Risks Using Machine Learning","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Manitoba; University of Guelph","funders":"","keywords":"Corporate bond; Bond; Business; Bond market; Financial system; Finance","score_opus":0.042543951854682314,"score_gpt":0.23213048876221692,"score_spread":0.1895865369075346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285234374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8946979,0.0019639025,0.096594036,0.0013521339,0.000042312535,0.000046932553,0.000732502,0.0003662388,0.0042040073],"genre_scores_gemma":[0.9890398,0.00038432959,0.009604375,0.000024953806,0.000058844947,0.000012475302,0.0003104789,0.000011624003,0.00055324676],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974567,0.00010269343,0.000015835401,0.000043517157,0.00006397022,0.000028214718],"domain_scores_gemma":[0.9966143,0.002242759,0.000591585,0.00020944755,0.00021415246,0.00012777802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013656346,0.0004131792,0.00046374043,0.0019530337,0.00021921287,0.0011421476,0.0004543672,0.00063431525,0.0009824656],"category_scores_gemma":[0.00936925,0.0001960196,0.00028796963,0.0009822237,0.00022406061,0.0015991909,0.00047319036,0.0011702117,0.00026364872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000500818,0.00091228005,0.46636683,0.00020060784,0.00036646533,0.0004808222,0.00029288695,0.11854524,0.0051719295,0.03337406,0.00865266,0.3651354],"study_design_scores_gemma":[0.000020816417,0.000057257956,0.04201754,0.000026507072,0.000045509398,0.000100153775,0.00008819552,0.93224686,0.0011304852,0.023171533,0.0010823631,0.000012864592],"about_ca_topic_score_codex":0.001631086,"about_ca_topic_score_gemma":0.0013741854,"teacher_disagreement_score":0.0019530337,"about_ca_system_score_codex":0.0002689717,"about_ca_system_score_gemma":0.00034426653,"threshold_uncertainty_score":0.007222235},"labels":[],"label_agreement":null},{"id":"W4285237278","doi":"10.2139/ssrn.4082461","title":"Disagreement Exploitation and the Cross-Section of Hedge Funds Performance","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Manitoba","funders":"","keywords":"Hedge fund; Section (typography); Business; Financial economics; Actuarial science; Econometrics; Accounting; Economics; Finance; Advertising","score_opus":0.018014006407527677,"score_gpt":0.21414337749366438,"score_spread":0.1961293710861367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285237278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963026,0.00040137052,0.0007855853,0.00021271748,0.000011564118,0.0000051178026,0.00013404412,0.00001325241,0.0021337913],"genre_scores_gemma":[0.9991093,0.00008909027,0.000046995334,0.000019031124,0.000025514591,0.000002401813,0.0001424169,0.000004662653,0.00056060555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984623,0.0005422529,0.00018785639,0.00027948056,0.00024417075,0.00028396543],"domain_scores_gemma":[0.94306874,0.03952356,0.010380613,0.0030635677,0.0016993424,0.00226409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008919284,0.0003011209,0.00060783635,0.0017542937,0.0004666087,0.003996412,0.0006671997,0.002042653,0.0048294556],"category_scores_gemma":[0.04045932,0.0003569191,0.00059051876,0.0014540864,0.00092275365,0.0032884548,0.0020907072,0.0013968858,0.0008827986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001937361,0.00027135594,0.9530207,0.000063170315,0.0011280422,0.00048372376,0.0007399254,0.015180379,0.0023378294,0.00797974,0.0011367053,0.015721083],"study_design_scores_gemma":[0.00007040807,0.0003945963,0.950864,0.000036643196,0.00027987902,0.00049235136,0.00076778803,0.02733323,0.0014450634,0.01716004,0.0010885702,0.000067469955],"about_ca_topic_score_codex":0.0008708316,"about_ca_topic_score_gemma":0.0007059497,"teacher_disagreement_score":0.008919284,"about_ca_system_score_codex":0.00048648537,"about_ca_system_score_gemma":0.00026893092,"threshold_uncertainty_score":0.04717022},"labels":[],"label_agreement":null},{"id":"W4285271015","doi":"10.1504/ijbir.2022.10048367","title":"Portfolio Optimization between Global Equity Markets","year":2022,"lang":"en","type":"article","venue":"International Journal of Business Innovation and Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Financial economics; Portfolio optimization; Portfolio; Business; Economics; Political science","score_opus":0.13235604740251267,"score_gpt":0.36891587465427333,"score_spread":0.23655982725176067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285271015","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18638982,0.0040647765,0.75235826,0.0021623943,0.00019176955,0.00023586908,0.0003525944,0.000213965,0.054030575],"genre_scores_gemma":[0.9356681,0.0015380437,0.04476575,0.000293557,0.00011753983,0.00019931849,0.0003135343,0.000059612317,0.01704456],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905294,0.00047716533,0.00003734487,0.00018097031,0.00013673883,0.000114793474],"domain_scores_gemma":[0.9986759,0.0008804314,0.00015722556,0.00005455835,0.000118360316,0.00011350319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023889258,0.0011934522,0.0012153619,0.0006573648,0.00032049345,0.0023915514,0.0006709884,0.0012703871,0.005647738],"category_scores_gemma":[0.006801941,0.0005013334,0.00068352843,0.0007248393,0.00070493546,0.002036421,0.0018582977,0.0011429883,0.00036851165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008951596,0.0000519558,0.00135827,0.00007049055,0.000119101,0.00012498269,0.000045119497,0.887578,0.00045783265,0.07780496,0.0014891466,0.030810654],"study_design_scores_gemma":[0.000050902374,0.00009197367,0.0007093953,0.000023760847,0.000034948975,0.00003320418,0.00003618159,0.90298986,0.0002431545,0.09360293,0.0021711087,0.000012536262],"about_ca_topic_score_codex":0.0019927353,"about_ca_topic_score_gemma":0.0012020144,"teacher_disagreement_score":0.005647738,"about_ca_system_score_codex":0.0010054801,"about_ca_system_score_gemma":0.0008662851,"threshold_uncertainty_score":0.0188936},"labels":[],"label_agreement":null},{"id":"W4285282656","doi":"10.2139/ssrn.4131740","title":"Noisy FOMC Returns? Information, Price Pressure, and Post-Announcement Reversals","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto; HEC Montréal","funders":"","keywords":"Economics; Monetary economics; Keynesian economics","score_opus":0.008852018452109065,"score_gpt":0.18556413748341835,"score_spread":0.1767121190313093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285282656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859562,0.00053899357,0.0010093772,0.0048445696,0.00010295019,0.000017929447,0.0005286754,0.00008175297,0.006919574],"genre_scores_gemma":[0.99857056,0.00009508373,0.00008220113,0.00009803214,0.0001269349,0.0000030219792,0.000098634664,0.000011091893,0.00091449544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991654,0.00013188805,0.00006369022,0.00015077495,0.00021248971,0.0002757479],"domain_scores_gemma":[0.9425307,0.030031873,0.02036953,0.0027843511,0.0019228715,0.0023606112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003233053,0.00021761536,0.00082153734,0.0007568222,0.00048593752,0.0031670793,0.00073487463,0.002131651,0.014943814],"category_scores_gemma":[0.068538025,0.00032285546,0.00025643612,0.00080200145,0.0008866607,0.0022872887,0.0006995548,0.0024984386,0.0014107729],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005433785,0.0015994505,0.8334411,0.00020814287,0.00039370745,0.0022536572,0.0011976361,0.009707549,0.004606716,0.033245057,0.016852614,0.09106056],"study_design_scores_gemma":[0.00023004237,0.0005169836,0.9299759,0.000051313782,0.00020532856,0.00047526765,0.0010630364,0.024499169,0.0017207442,0.03745471,0.0037012415,0.00010623685],"about_ca_topic_score_codex":0.0051996685,"about_ca_topic_score_gemma":0.004113643,"teacher_disagreement_score":0.014943814,"about_ca_system_score_codex":0.00058538455,"about_ca_system_score_gemma":0.00061806274,"threshold_uncertainty_score":0.049992025},"labels":[],"label_agreement":null},{"id":"W4285546917","doi":"10.2139/ssrn.4096157","title":"Analysis of simple investment strategies assuming lognormal returns","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Simple (philosophy); Log-normal distribution; Econometrics; Economics; Investment (military); Mathematics; Financial economics; Statistics; Actuarial science; Political science","score_opus":0.018194004652510563,"score_gpt":0.22654883094192305,"score_spread":0.2083548262894125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285546917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65313864,0.0021051394,0.32272485,0.00113808,0.000106222615,0.00017335298,0.0003079768,0.00031258547,0.01999313],"genre_scores_gemma":[0.9717771,0.0007702942,0.015049597,0.000109441164,0.00009220486,0.00007738229,0.00012828704,0.000058574882,0.011937077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992797,0.000263131,0.000039621234,0.00009810643,0.0001366223,0.00018284212],"domain_scores_gemma":[0.98284745,0.014090337,0.0014051254,0.000541113,0.000664065,0.0004518106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031454244,0.0010334841,0.0018980019,0.0012116693,0.00040118396,0.0021231368,0.0022027746,0.0018946311,0.006521643],"category_scores_gemma":[0.01947852,0.0007898095,0.0011773013,0.0011790156,0.0015824769,0.0030883614,0.0010173914,0.0013260475,0.000534608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018221662,0.00017385856,0.0035199376,0.00019548208,0.00010767731,0.00048080672,0.00010863534,0.8140138,0.0012713112,0.16645461,0.0013043267,0.012187449],"study_design_scores_gemma":[0.000022210546,0.000031169122,0.00079627614,0.000008418178,0.000021041986,0.00006406959,0.000015401958,0.96722656,0.00012951365,0.031536587,0.00013681689,0.000011899702],"about_ca_topic_score_codex":0.004029346,"about_ca_topic_score_gemma":0.0024569281,"teacher_disagreement_score":0.006521643,"about_ca_system_score_codex":0.0017168582,"about_ca_system_score_gemma":0.0013003454,"threshold_uncertainty_score":0.021817088},"labels":[],"label_agreement":null},{"id":"W4285597256","doi":"10.3390/jrfm15070308","title":"Market Quality and Short-Selling Ban during the COVID-19 Pandemic: A High-Frequency Data Approach","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Gobierno de Aragón","keywords":"Market liquidity; Equity (law); Volatility (finance); High-frequency trading; Monetary economics; Coronavirus disease 2019 (COVID-19); Economics; Business; Financial economics; Econometrics","score_opus":0.09071702308952066,"score_gpt":0.26818741915527317,"score_spread":0.1774703960657525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285597256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927892,0.00014476686,0.0015362187,0.00016106153,0.000015376785,0.00003036907,0.0035948742,0.000033635668,0.0016945812],"genre_scores_gemma":[0.992481,0.000049977367,0.0006695228,0.000028394728,0.000038071175,0.000024916591,0.006306024,0.000011181894,0.00039085466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991732,0.00023141029,0.000070337286,0.00018570594,0.00018909795,0.000150043],"domain_scores_gemma":[0.99336994,0.0023889968,0.002043229,0.0008748797,0.00090856396,0.00041445903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021282912,0.00022929368,0.00046509245,0.0019360423,0.00026115446,0.0013543823,0.00043722268,0.0007636484,0.0019294618],"category_scores_gemma":[0.008171979,0.00013522957,0.0003952052,0.0015184828,0.0004140662,0.0006411585,0.0009981794,0.0007824189,0.00038549374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003768026,0.00022201122,0.97429895,0.000057556972,0.00020814675,0.00033224156,0.00040879197,0.005828338,0.0012358489,0.0018863757,0.0034081773,0.011736724],"study_design_scores_gemma":[0.00002405753,0.00011648377,0.97957474,0.00002211381,0.000043461478,0.00011034385,0.0005687419,0.014947886,0.00042123444,0.00100398,0.0031448444,0.000022164992],"about_ca_topic_score_codex":0.011950244,"about_ca_topic_score_gemma":0.008351334,"teacher_disagreement_score":0.011950244,"about_ca_system_score_codex":0.0004852654,"about_ca_system_score_gemma":0.00031305006,"threshold_uncertainty_score":0.023761392},"labels":[],"label_agreement":null},{"id":"W4286330890","doi":"10.1093/ooec/odac004","title":"Potterian economics","year":2022,"lang":"en","type":"article","venue":"Oxford Open Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Bar-Ilan University; National University of Singapore","keywords":"Consistency (knowledge bases); Incentive; Population; Positive economics; Economic model; Economics; Behavioral economics; Literacy; Experimental economics; Power (physics); Sociology; Microeconomics; Computer science; Economic growth","score_opus":0.03989300378836969,"score_gpt":0.21636800766938488,"score_spread":0.1764750038810152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286330890","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06198078,0.0046828967,0.09814498,0.056891542,0.0008931212,0.00012846105,0.00046908908,0.00020685428,0.7766024],"genre_scores_gemma":[0.9410864,0.003283605,0.011608259,0.0037409915,0.00056199625,0.00016267943,0.00014489816,0.00007847405,0.03933268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99830073,0.0006886395,0.000048504982,0.00036221227,0.00045424316,0.00014558416],"domain_scores_gemma":[0.9957445,0.0023158472,0.00047143028,0.0006576759,0.0006216471,0.00018887025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019838042,0.00046275902,0.00043108052,0.0013854429,0.00119664,0.00423078,0.0008186236,0.0018827629,0.014682931],"category_scores_gemma":[0.008389866,0.00020156706,0.00055619434,0.0013809503,0.00701062,0.0050836774,0.0014912927,0.0021707974,0.0018119877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005002356,0.000008683218,0.00045431923,0.000027379416,0.0000043490663,0.000027597735,0.00020900149,0.0013364211,0.000032321503,0.9897355,0.0037865192,0.0043728994],"study_design_scores_gemma":[0.000008283363,0.0000146327275,0.00076632557,0.00008063197,0.0000075113367,0.00010899189,0.0002380788,0.007110286,0.00012185076,0.9239585,0.067574315,0.000010495826],"about_ca_topic_score_codex":0.0030115459,"about_ca_topic_score_gemma":0.0013832031,"teacher_disagreement_score":0.014682931,"about_ca_system_score_codex":0.004379346,"about_ca_system_score_gemma":0.0021480895,"threshold_uncertainty_score":0.049119234},"labels":[],"label_agreement":null},{"id":"W4286620998","doi":"10.5465/ambpp.2022.13456abstract","title":"The Influence Of Stock Valuation On Firm Level Investment: Signal Or Noise?","year":2022,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Stock (firearms); Investment decisions; Valuation (finance); Monetary economics; Economics; Business; Financial economics; Microeconomics; Finance; Behavioral economics","score_opus":0.08175499592792485,"score_gpt":0.2560399245768999,"score_spread":0.17428492864897505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286620998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98376924,0.0006451934,0.004496251,0.0011916271,0.00003796473,0.000032525953,0.00029594568,0.000045447672,0.0094858045],"genre_scores_gemma":[0.99908984,0.00014444742,0.00024554934,0.00008503174,0.000028567727,0.0000045739234,0.000054855864,0.0000051530815,0.00034200668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977944,0.000863988,0.00017889387,0.00045558246,0.00043228394,0.00027490823],"domain_scores_gemma":[0.93443364,0.048141565,0.01163623,0.0033617427,0.0014557054,0.0009711184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004043435,0.00031681877,0.00084529904,0.00075184635,0.00020514906,0.0027451839,0.0004320442,0.0009649437,0.002831964],"category_scores_gemma":[0.041938473,0.0004227494,0.0005245341,0.00080022163,0.00089204084,0.0017411313,0.00068795803,0.0010562787,0.00041831232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011290823,0.00043691555,0.8948642,0.0002193129,0.001170758,0.00055455614,0.00074728194,0.011572237,0.011035574,0.010243599,0.0010747451,0.06695179],"study_design_scores_gemma":[0.000032773383,0.00028145916,0.9671112,0.000043049167,0.0003041384,0.00010365854,0.00027672664,0.018525347,0.002594618,0.00976098,0.00092307857,0.000042936084],"about_ca_topic_score_codex":0.0029361325,"about_ca_topic_score_gemma":0.002488502,"teacher_disagreement_score":0.004043435,"about_ca_system_score_codex":0.0005779521,"about_ca_system_score_gemma":0.00036302552,"threshold_uncertainty_score":0.021383941},"labels":[],"label_agreement":null},{"id":"W4286697393","doi":"10.1093/rapstu/raac013","title":"Why Do Predicted Stock Issuers Earn Low Returns?","year":2022,"lang":"en","type":"article","venue":"The Review of Asset Pricing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Earnings; Issuer; Cash flow; Stock (firearms); Economics; Volatility (finance); Market liquidity; Financial economics; Web site; Capital asset pricing model; Lottery; Monetary economics; Business; The Internet; Finance; Microeconomics","score_opus":0.04463873558901847,"score_gpt":0.27645002244371536,"score_spread":0.23181128685469687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286697393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98282015,0.0024927745,0.0015614035,0.0044318754,0.00015639086,0.000016553011,0.00038606377,0.00004681629,0.008088011],"genre_scores_gemma":[0.99812204,0.00045012246,0.00011892506,0.0002528023,0.000107431435,0.0000027426383,0.00008306885,0.0000045212937,0.00085821183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991903,0.00029572233,0.00006504049,0.00010883282,0.00023808754,0.00010206168],"domain_scores_gemma":[0.9832772,0.00675605,0.006775553,0.0007734154,0.0016450491,0.00077281665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021408796,0.0001697712,0.00031666388,0.0008183086,0.00020958473,0.0014099496,0.00035971124,0.0007065052,0.0054733404],"category_scores_gemma":[0.01878824,0.00011879681,0.00013311578,0.0008005518,0.0005707785,0.0010231093,0.0003422678,0.0006691932,0.001153453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003590314,0.00016714339,0.89251184,0.00015662245,0.00013301504,0.0006768271,0.00042442928,0.0008598231,0.0011838103,0.0061378353,0.010061912,0.08732772],"study_design_scores_gemma":[0.000054714183,0.00028529848,0.96934724,0.00009223167,0.00007223381,0.00090924534,0.0011555161,0.003729129,0.0014055477,0.015321417,0.0076032197,0.000024208082],"about_ca_topic_score_codex":0.00088842434,"about_ca_topic_score_gemma":0.00092372386,"teacher_disagreement_score":0.0054733404,"about_ca_system_score_codex":0.00029468728,"about_ca_system_score_gemma":0.00014453579,"threshold_uncertainty_score":0.01831019},"labels":[],"label_agreement":null},{"id":"W4287098954","doi":"10.2139/ssrn.4153877","title":"Illiquidity premiums in international corporate bond markets","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Guelph","funders":"","keywords":"Bond; Corporate bond; Bond market; Business; Financial economics; Financial system; Monetary economics; Economics; Finance","score_opus":0.022939235523336633,"score_gpt":0.20631819939352614,"score_spread":0.1833789638701895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287098954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985824,0.00088097685,0.006261994,0.001076136,0.000030462748,0.000009020458,0.00015029724,0.0001029568,0.005664191],"genre_scores_gemma":[0.99841,0.00019159405,0.0002157962,0.000027240005,0.000043344276,0.0000019655681,0.000060026025,0.000013127172,0.0010370208],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99980265,0.000047305668,0.000017071683,0.000035796773,0.000037144033,0.000060093473],"domain_scores_gemma":[0.9887687,0.0059564183,0.0032849624,0.00041346523,0.0005544783,0.0010220538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019002797,0.00033528716,0.00055265665,0.0016143026,0.00032278497,0.0027486975,0.00046598175,0.0008746998,0.005612575],"category_scores_gemma":[0.01441704,0.00029503473,0.0003014501,0.00072927156,0.00079092267,0.0035832892,0.00067423197,0.0018304251,0.00035761832],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020623866,0.00083266187,0.18485956,0.00039096558,0.00022175547,0.0021023366,0.0019699757,0.062739834,0.023875155,0.6361344,0.01021043,0.07460062],"study_design_scores_gemma":[0.00021617494,0.000449701,0.18117434,0.000103444734,0.0002408982,0.0008266196,0.00087465317,0.27339062,0.0056286547,0.5340951,0.0028548378,0.00014495713],"about_ca_topic_score_codex":0.0011029688,"about_ca_topic_score_gemma":0.0009623221,"teacher_disagreement_score":0.005612575,"about_ca_system_score_codex":0.0006795235,"about_ca_system_score_gemma":0.00028577913,"threshold_uncertainty_score":0.01877594},"labels":[],"label_agreement":null},{"id":"W4287758918","doi":"10.48550/arxiv.2006.06237","title":"Re-evaluating cryptocurrencies' contribution to portfolio\\n diversification -- A portfolio analysis with special focus on German\\n investors","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Cryptocurrency; Portfolio; Diversification (marketing strategy); Econometrics; Economics; Modern portfolio theory; Skewness; Portfolio optimization; Computer science; Financial economics; Business","score_opus":0.12023527623392218,"score_gpt":0.22306286746086848,"score_spread":0.1028275912269463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287758918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96232015,0.0023008161,0.026430875,0.0003439801,0.000048421814,0.00005254735,0.00041227523,0.000060027494,0.008031051],"genre_scores_gemma":[0.99508375,0.0004741916,0.0029594612,0.000034559373,0.000028562632,0.000013211391,0.0003879322,0.000016850587,0.0010013661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989693,0.00026255904,0.00008520907,0.00022722375,0.0003388864,0.00011674143],"domain_scores_gemma":[0.9949935,0.0022643458,0.001437088,0.000652475,0.00041231673,0.00024028384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042393277,0.0007022055,0.0006555523,0.00213609,0.00032580554,0.0030364073,0.00047406755,0.0006050976,0.0027199115],"category_scores_gemma":[0.011984184,0.00015219649,0.00063797116,0.0018979477,0.0007426582,0.0022457882,0.0013251808,0.00076892687,0.00048012193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005346009,0.00019384891,0.66476136,0.0003446622,0.0011468963,0.0006734589,0.00054736104,0.06393826,0.0070967567,0.035563357,0.0016415861,0.22355777],"study_design_scores_gemma":[0.000086927685,0.0011614425,0.6145028,0.00037331038,0.0013406979,0.0009969688,0.0019211636,0.28669164,0.023431642,0.050305404,0.019044245,0.00014373839],"about_ca_topic_score_codex":0.0020265086,"about_ca_topic_score_gemma":0.0021727807,"teacher_disagreement_score":0.0042393277,"about_ca_system_score_codex":0.00094412686,"about_ca_system_score_gemma":0.00052662863,"threshold_uncertainty_score":0.02241993},"labels":[],"label_agreement":null},{"id":"W4287854816","doi":"10.2139/ssrn.4166429","title":"Price Discovery Before Earnings Announcement: Evidence from Electricity Usage","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Price discovery; Earnings; Business; Economics; Financial economics; Accounting; Monetary economics","score_opus":0.018000813854716143,"score_gpt":0.21021143528980674,"score_spread":0.1922106214350906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287854816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99359775,0.00024219268,0.00021138607,0.0005541578,0.000037013237,0.000012163592,0.0009612573,0.000024713641,0.0043594665],"genre_scores_gemma":[0.99717975,0.00020809323,0.000070345595,0.00007419015,0.000114102266,0.0000043349673,0.0011616148,0.000010514445,0.0011769845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946135,0.00009165433,0.000051391067,0.000089999856,0.00018956675,0.00011610593],"domain_scores_gemma":[0.9754343,0.012682828,0.008170042,0.0010820243,0.001541606,0.0010891751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086911354,0.00021190516,0.0003226782,0.00096533913,0.00033950614,0.0014204645,0.0005828928,0.0014243204,0.0068347254],"category_scores_gemma":[0.014940278,0.00022353142,0.00024691413,0.0012498582,0.00048099432,0.0012052543,0.0005951353,0.0011270435,0.0015482678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002884355,0.0007378042,0.96340543,0.00008242375,0.00014798476,0.0012357828,0.0004338401,0.00056468317,0.0029326153,0.0015940143,0.0037199247,0.022261143],"study_design_scores_gemma":[0.000063473206,0.00022008982,0.9947596,0.000012401126,0.000076042284,0.00019540946,0.00027559386,0.00082696415,0.0011563278,0.00071794534,0.0016796879,0.000016409218],"about_ca_topic_score_codex":0.008008273,"about_ca_topic_score_gemma":0.007013847,"teacher_disagreement_score":0.008008273,"about_ca_system_score_codex":0.00031795862,"about_ca_system_score_gemma":0.00031522888,"threshold_uncertainty_score":0.022864401},"labels":[],"label_agreement":null},{"id":"W4287888043","doi":"10.2139/ssrn.4163270","title":"Consumption Heterogeneity, Business Cycle, and Asset Pricing","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economics; Sharpe ratio; Predictability; Business cycle; Volatility (finance); Consumption (sociology); Capital asset pricing model; Equity premium puzzle; Econometrics; Risk premium; Risk aversion (psychology); Monetary economics; Stock (firearms); Consumption-based capital asset pricing model; Asset (computer security); Financial economics; Microeconomics; Expected utility hypothesis; Macroeconomics; Portfolio","score_opus":0.02044387328108522,"score_gpt":0.21901717725660555,"score_spread":0.19857330397552034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287888043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880944,0.0011334375,0.004918672,0.00096334884,0.000016019527,0.000012061778,0.00036508983,0.000023242303,0.004473795],"genre_scores_gemma":[0.99846005,0.00022836673,0.00017065491,0.000031438256,0.000023291072,0.0000026848627,0.00014117314,0.000005296955,0.00093696493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997453,0.00010382804,0.000014108046,0.000052695428,0.000026712918,0.00005741644],"domain_scores_gemma":[0.9908501,0.0064533474,0.0015515739,0.00047613526,0.00019030405,0.0004785786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011283971,0.00016295782,0.00059166126,0.00082426105,0.00024363927,0.001980923,0.00036768752,0.0008597264,0.0055442355],"category_scores_gemma":[0.009783959,0.00022612304,0.0003081588,0.0014105325,0.0005474313,0.0015605816,0.00045208097,0.00075941865,0.00029830323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021467921,0.0006322087,0.7382848,0.00014286698,0.000803644,0.001082161,0.00059377484,0.07650524,0.0016945199,0.11747624,0.004771079,0.055866636],"study_design_scores_gemma":[0.00018353964,0.0002681287,0.5123421,0.000053186403,0.00032415058,0.000710798,0.0010154846,0.19480339,0.0004913319,0.28644502,0.003286068,0.00007682529],"about_ca_topic_score_codex":0.0054030367,"about_ca_topic_score_gemma":0.004528466,"teacher_disagreement_score":0.0055442355,"about_ca_system_score_codex":0.00075590255,"about_ca_system_score_gemma":0.000277828,"threshold_uncertainty_score":0.018547356},"labels":[],"label_agreement":null},{"id":"W4287888897","doi":"10.2139/ssrn.4167890","title":"A Fractional Solution to a Stock Market Mystery","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Stock market; Financial economics; Economics; Business; Mathematics; Financial system; Geology","score_opus":0.01793467804174752,"score_gpt":0.2109548180310326,"score_spread":0.19302013998928508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287888897","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27079654,0.0018963501,0.47166726,0.0268667,0.0035768263,0.00011653707,0.00043699844,0.00046487994,0.22417787],"genre_scores_gemma":[0.8615996,0.0008984693,0.069978535,0.0018830473,0.0012721295,0.00010058632,0.00012755515,0.0001238912,0.064016126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99978405,0.000064945474,0.000011929311,0.00003333657,0.000061116785,0.00004466669],"domain_scores_gemma":[0.99933004,0.00032901223,0.000072141695,0.00006644452,0.000086587126,0.00011575008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006883581,0.0003784302,0.00060593564,0.00072754687,0.0010899957,0.0019659512,0.0008108631,0.0029774366,0.013326947],"category_scores_gemma":[0.006443528,0.00022026041,0.00059005484,0.00056430534,0.0016187732,0.0019245717,0.001542175,0.0014953236,0.00057440915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074787866,0.00003530445,0.00015264496,0.000046935096,0.000014695024,0.00018911435,0.00007113457,0.010389172,0.0011837528,0.9676739,0.007127844,0.013040706],"study_design_scores_gemma":[0.00005364314,0.00003154709,0.00013144169,0.000016708465,0.000008703433,0.00013299566,0.0000691167,0.098287925,0.0002928695,0.8954097,0.005551401,0.000013917415],"about_ca_topic_score_codex":0.0008512999,"about_ca_topic_score_gemma":0.0005892273,"teacher_disagreement_score":0.013326947,"about_ca_system_score_codex":0.00055657007,"about_ca_system_score_gemma":0.00080339774,"threshold_uncertainty_score":0.044583082},"labels":[],"label_agreement":null},{"id":"W4288775380","doi":"10.2139/ssrn.4176141","title":"Noise Trading, Market Liquidity, and Efficiency in Adaptive Markets – a Reinforcement Learning Experiment","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Market liquidity; Reinforcement learning; Noise (video); Reinforcement; Market efficiency; Monetary economics; Business; Economics; Financial economics; Computer science; Artificial intelligence; Materials science","score_opus":0.01610535950857943,"score_gpt":0.21059026415556328,"score_spread":0.19448490464698384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288775380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99326456,0.00004374702,0.0048746904,0.0002362018,0.000037816946,0.00010698255,0.000064753745,0.00003815519,0.0013331341],"genre_scores_gemma":[0.995865,0.000030157164,0.002785043,0.00008557214,0.000017701434,0.00011904298,0.00005398429,0.000010941414,0.00103262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902904,0.00048509205,0.00006587377,0.00017292876,0.00014029369,0.000106851825],"domain_scores_gemma":[0.9632,0.03046366,0.0019684976,0.0023237348,0.0007509342,0.0012931478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004255286,0.0007176005,0.0009868043,0.0003009708,0.00039131107,0.0014356511,0.0012699993,0.002151416,0.0038001053],"category_scores_gemma":[0.03487109,0.00036994496,0.00047510237,0.00020406571,0.0014827506,0.0014342675,0.0009198714,0.0024779413,0.00032007604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.058188934,0.049379926,0.04419489,0.00097518176,0.0012811056,0.00091857684,0.0015718708,0.66173446,0.045987137,0.04827249,0.0050824396,0.08241294],"study_design_scores_gemma":[0.0056502977,0.009169568,0.010796403,0.00003712779,0.00022040607,0.00009237876,0.00015813815,0.9340418,0.0051000444,0.033913117,0.0007232284,0.00009753876],"about_ca_topic_score_codex":0.0022275352,"about_ca_topic_score_gemma":0.00098028,"teacher_disagreement_score":0.004255286,"about_ca_system_score_codex":0.00057556404,"about_ca_system_score_gemma":0.00091313216,"threshold_uncertainty_score":0.02250433},"labels":[],"label_agreement":null},{"id":"W4288882741","doi":"10.2139/ssrn.4122670","title":"A Separation Analysis of the Idiosyncratic Volatility-Return Relation","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia; University of Manitoba","funders":"","keywords":"Separation (statistics); Volatility (finance); Econometrics; Economics; Financial economics; Mathematics; Statistics","score_opus":0.010196004713799663,"score_gpt":0.21342628375439543,"score_spread":0.20323027904059576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288882741","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17069352,0.0016675032,0.80498207,0.0014683933,0.00009836233,0.000064458516,0.00023573787,0.00027446216,0.02051538],"genre_scores_gemma":[0.94590646,0.0009200178,0.037256196,0.00020387411,0.00033013106,0.000050898147,0.00044944257,0.0001686984,0.0147142485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990146,0.00032137745,0.000054067405,0.00016748543,0.000280946,0.00016150075],"domain_scores_gemma":[0.9919748,0.0054841214,0.00094508164,0.00062459713,0.0006887215,0.0002826986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024046712,0.0006765424,0.0008971381,0.0021437306,0.00053608144,0.0024916395,0.0011106933,0.0010053181,0.0067290165],"category_scores_gemma":[0.014768927,0.00050741766,0.0011577735,0.0016894653,0.0011376109,0.0035879314,0.0022059681,0.0028004928,0.0008707021],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028656074,0.00011312365,0.008153704,0.00018130075,0.00018194734,0.00041752713,0.00043652774,0.03603874,0.008770925,0.8839958,0.0044671115,0.056956906],"study_design_scores_gemma":[0.000034390567,0.000105927174,0.00924778,0.000038841612,0.0001195107,0.00035482732,0.00007584387,0.59425324,0.0025674696,0.38958383,0.0035634062,0.000054875734],"about_ca_topic_score_codex":0.000962748,"about_ca_topic_score_gemma":0.00055238756,"teacher_disagreement_score":0.0067290165,"about_ca_system_score_codex":0.0006541116,"about_ca_system_score_gemma":0.000801959,"threshold_uncertainty_score":0.022510767},"labels":[],"label_agreement":null},{"id":"W4288917670","doi":"10.2139/ssrn.3510630","title":"Book-to-Market, Mispricing, and the Cross-Section of Corporate Bond Returns","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Corporate bond; Section (typography); Bond; Financial economics; Economics; Business; Financial system; Monetary economics; Finance; Advertising","score_opus":0.012110150683042342,"score_gpt":0.2058635396478909,"score_spread":0.19375338896484856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288917670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948179,0.0012028855,0.0012930331,0.00027212693,0.000020191952,0.000007838111,0.00043679614,0.000050193077,0.0018990793],"genre_scores_gemma":[0.99706477,0.00033781218,0.00019804068,0.000039744053,0.00005776712,0.000005394898,0.0005813744,0.00001894811,0.0016961925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993179,0.00016716057,0.00007794994,0.00016283966,0.00016621141,0.00010800718],"domain_scores_gemma":[0.9469279,0.035296798,0.010330524,0.0028301305,0.0018755099,0.0027390819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00442276,0.00042067486,0.0006106779,0.001376041,0.00032461592,0.0022659115,0.0010916803,0.0021020372,0.0069045178],"category_scores_gemma":[0.030208934,0.00045900655,0.00060861284,0.0011608873,0.00061255874,0.0025602279,0.0007432551,0.0019324522,0.0023072853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000651753,0.00041050132,0.9595671,0.000052440562,0.000695756,0.0007266082,0.00019873116,0.013178359,0.0025427109,0.0037547662,0.0013480599,0.016873127],"study_design_scores_gemma":[0.00002415808,0.0002951503,0.95176667,0.000020143967,0.0001972642,0.0007466135,0.00014877196,0.0382826,0.0014747703,0.0062171887,0.0007734867,0.000053211654],"about_ca_topic_score_codex":0.0020430933,"about_ca_topic_score_gemma":0.0031673142,"teacher_disagreement_score":0.0069045178,"about_ca_system_score_codex":0.00067498867,"about_ca_system_score_gemma":0.0002799402,"threshold_uncertainty_score":0.023390055},"labels":[],"label_agreement":null},{"id":"W4289175136","doi":"10.3390/jrfm15080337","title":"A Generalized Entropy Approach to Portfolio Selection under a Hidden Markov Model","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Portfolio; Econometrics; Sharpe ratio; Capital asset pricing model; Portfolio optimization; Volatility (finance); Economics; Post-modern portfolio theory; Market portfolio; Expected shortfall; Rate of return on a portfolio; Replicating portfolio; Risk premium; Financial economics","score_opus":0.017538512874936373,"score_gpt":0.20121902894606464,"score_spread":0.18368051607112826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289175136","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020661807,0.00037964733,0.97653574,0.0003492832,0.000040641495,0.000039176342,0.00013822924,0.0001390714,0.0017164069],"genre_scores_gemma":[0.88470775,0.0014099454,0.10431977,0.00026181914,0.000382545,0.00031105467,0.0006544359,0.00010938859,0.007843279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981719,0.0009420693,0.000078891884,0.00029505548,0.00034059343,0.00017150499],"domain_scores_gemma":[0.9949897,0.0040801824,0.00036952161,0.00019293065,0.00025664337,0.000110977075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034362518,0.0011888869,0.0017171851,0.0014288812,0.00056920433,0.0014188477,0.0018810243,0.0012603627,0.0028483747],"category_scores_gemma":[0.0077731553,0.00081628095,0.0016321199,0.0011592,0.0013124589,0.0024803707,0.0012386593,0.0016342432,0.0003481866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028975655,0.000024331146,0.000943866,0.0000370797,0.00008746487,0.0001375887,0.0000497055,0.91808957,0.00037605996,0.06956676,0.00034773708,0.010310831],"study_design_scores_gemma":[0.0000063918997,0.000011914327,0.00017373037,0.000004473211,0.000010736632,0.000015089762,0.0000030013136,0.9739939,0.00007149688,0.025542771,0.00015774659,0.000008706838],"about_ca_topic_score_codex":0.006726659,"about_ca_topic_score_gemma":0.0046445103,"teacher_disagreement_score":0.006726659,"about_ca_system_score_codex":0.001506855,"about_ca_system_score_gemma":0.0013016589,"threshold_uncertainty_score":0.01817286},"labels":[],"label_agreement":null},{"id":"W4289454080","doi":"10.3386/w25122","title":"Do Survey Expectations of Stock Returns Reflect Risk-Adjustments?","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Stock (firearms); Financial economics; Economics; Econometrics; Business; Geography","score_opus":0.5281089600737938,"score_gpt":0.5035095462023823,"score_spread":0.024599413871411513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289454080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96110475,0.00044183707,0.026156856,0.0019289294,0.000045247303,0.00007672012,0.0010971889,0.00012241054,0.009026005],"genre_scores_gemma":[0.99781835,0.00012449754,0.0011084004,0.00015211238,0.000025264428,0.0000172831,0.00038044096,0.0000073615306,0.00036623198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99645174,0.0015742114,0.00039969856,0.0007412675,0.0005704968,0.0002624867],"domain_scores_gemma":[0.85109943,0.07656111,0.049368605,0.015915385,0.0059551205,0.0011003361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012942067,0.0003855961,0.00068967167,0.0010552544,0.0002310381,0.0030809082,0.00090480613,0.001176677,0.0040498814],"category_scores_gemma":[0.15823354,0.0004050707,0.00059971644,0.0014139828,0.0010690617,0.0049664797,0.00076504436,0.0010456458,0.0009215601],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004973666,0.00018482546,0.9349972,0.00015232222,0.0004091179,0.00010854557,0.0012473239,0.0063314917,0.0008079954,0.015883327,0.0013015193,0.038078927],"study_design_scores_gemma":[0.000052383148,0.00027781256,0.9000403,0.000078725934,0.00023379108,0.0002100506,0.0013648317,0.044755332,0.0021691632,0.048683062,0.002054843,0.00007963532],"about_ca_topic_score_codex":0.0057569514,"about_ca_topic_score_gemma":0.004624107,"teacher_disagreement_score":0.012942067,"about_ca_system_score_codex":0.0006689353,"about_ca_system_score_gemma":0.00041561204,"threshold_uncertainty_score":0.06844497},"labels":[],"label_agreement":null},{"id":"W4289523264","doi":"10.1111/1911-3846.12813","title":"Why Can't I Trade? Exchange Discretion in Calling Halts*<sup>,</sup><sup>†</sup>","year":2022,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Discretion; Volatility (finance); Monetary economics; Stock exchange; Economics; Microeconomics; Business; Financial economics; Finance; Law; Political science","score_opus":0.09672739514939033,"score_gpt":0.28637991455041245,"score_spread":0.18965251940102212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289523264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94935113,0.0012529091,0.0037074087,0.008933493,0.00017655341,0.000046719888,0.00027592576,0.00004602167,0.036209933],"genre_scores_gemma":[0.9976351,0.00022049961,0.0003070653,0.00046635562,0.00008890835,0.000008524492,0.00006157503,0.0000127441035,0.0011991039],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973054,0.0012327149,0.0002824317,0.0003008234,0.000476842,0.0004017205],"domain_scores_gemma":[0.91692907,0.04415729,0.029470649,0.003993794,0.0018074043,0.0036418587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062045665,0.00015460701,0.00031815722,0.0004384573,0.0007596974,0.0033161056,0.0005990604,0.0012078581,0.00879165],"category_scores_gemma":[0.05441574,0.00014123805,0.00031888817,0.00052896544,0.0013551307,0.0020789613,0.0009286543,0.0017911923,0.00088970695],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036555668,0.00061894883,0.79207176,0.00028618058,0.00040618837,0.0018457582,0.0056016212,0.004421907,0.0028751134,0.045344315,0.013686032,0.12918665],"study_design_scores_gemma":[0.00029884835,0.0010026462,0.8051831,0.000655364,0.0006226694,0.0031150815,0.020931348,0.021026269,0.0071692294,0.09426396,0.045515765,0.00021564918],"about_ca_topic_score_codex":0.0017741658,"about_ca_topic_score_gemma":0.0021833344,"teacher_disagreement_score":0.00879165,"about_ca_system_score_codex":0.0006070909,"about_ca_system_score_gemma":0.00052718865,"threshold_uncertainty_score":0.03281325},"labels":[],"label_agreement":null},{"id":"W4289734376","doi":"10.2139/ssrn.4174735","title":"Use the Carrot to Encourage Fund Managers","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Fund administration; Manager of managers fund; Open-end fund; Business; Closed-end fund; Incentive; Target date fund; Fund of funds; Performance fee; Income fund; Finance; Feeder fund; Sovereign wealth fund; Hedge fund; Economics; Institutional investor; Microeconomics; Corporate governance","score_opus":0.03517729054791651,"score_gpt":0.21519945383615918,"score_spread":0.18002216328824266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289734376","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10717736,0.0048118113,0.09768923,0.17184597,0.017979192,0.001518987,0.00039792314,0.01070427,0.5878751],"genre_scores_gemma":[0.6410591,0.0014460884,0.108694546,0.026242005,0.003550993,0.0011276227,0.0002760166,0.0014133579,0.21619022],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952459,0.0024497171,0.00017006336,0.0003237834,0.0013497745,0.00046075947],"domain_scores_gemma":[0.96317333,0.018730037,0.0048495443,0.0030165098,0.004373238,0.005857393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057438025,0.0006173716,0.00035378162,0.0018832881,0.0027488363,0.0034678846,0.0011366312,0.003044765,0.03728992],"category_scores_gemma":[0.07484202,0.0003325507,0.00036620165,0.00064245646,0.001402726,0.003089065,0.0026087007,0.0028881237,0.012178893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050208427,0.0004729717,0.009268372,0.00042113016,0.000053763928,0.0016859743,0.0056953942,0.00071932183,0.0053751166,0.045617428,0.6009802,0.3292081],"study_design_scores_gemma":[0.00018989273,0.00038623167,0.0060252147,0.00048096656,0.000047469875,0.0009748471,0.0037917164,0.0035379326,0.0045675267,0.032232817,0.9476035,0.00016182549],"about_ca_topic_score_codex":0.0021920581,"about_ca_topic_score_gemma":0.007351938,"teacher_disagreement_score":0.03728992,"about_ca_system_score_codex":0.0011115691,"about_ca_system_score_gemma":0.002517968,"threshold_uncertainty_score":0.12474722},"labels":[],"label_agreement":null},{"id":"W4289823208","doi":"10.2139/ssrn.4173362","title":"Siphoned Apart: A Portfolio Perspective on Order Flow Fragmentation","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada); University of British Columbia","funders":"","keywords":"Perspective (graphical); Fragmentation (computing); Portfolio; Order (exchange); Computer science; Business; Economics; Financial economics; Artificial intelligence; Finance","score_opus":0.012388406834108813,"score_gpt":0.21911421437030604,"score_spread":0.20672580753619724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289823208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24602729,0.0029865291,0.625996,0.0029621972,0.00022868364,0.00010533084,0.00028314462,0.00026887708,0.12114203],"genre_scores_gemma":[0.93297076,0.0013575555,0.047250595,0.00022293207,0.0002690231,0.00006858829,0.00018645011,0.00009959875,0.0175745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991505,0.00021483119,0.000060155675,0.00016172741,0.0002698668,0.00014291504],"domain_scores_gemma":[0.9966008,0.0010418008,0.00065423927,0.0007374972,0.0003811439,0.00058457087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001415597,0.00045859476,0.00095465675,0.0019422079,0.0014045428,0.0053635505,0.001463634,0.0015889497,0.011162094],"category_scores_gemma":[0.008063487,0.00044856436,0.00076894736,0.0031121755,0.002798704,0.010870729,0.0025862062,0.0017830399,0.00075070484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004985966,0.000031285883,0.00085073896,0.000026329051,0.000017626056,0.00017663135,0.00028187063,0.0092784045,0.00033761727,0.9677863,0.00060261594,0.020560808],"study_design_scores_gemma":[0.000008992589,0.000028654806,0.0004734326,0.000025318472,0.0000133745225,0.00010835187,0.00015370076,0.029305188,0.00019644517,0.96693856,0.0027398337,0.000008087641],"about_ca_topic_score_codex":0.0008792016,"about_ca_topic_score_gemma":0.0005851101,"teacher_disagreement_score":0.011162094,"about_ca_system_score_codex":0.00095028937,"about_ca_system_score_gemma":0.00083019055,"threshold_uncertainty_score":0.03734094},"labels":[],"label_agreement":null},{"id":"W4289823623","doi":"10.2139/ssrn.4177394","title":"Uncertainty of Put-Call Parity Violation and Option Returns","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Predictability; Arbitrage; Economics; Equity (law); Econometrics; Volatility (finance); Financial economics; Parity (physics); Actuarial science; Mathematics; Statistics","score_opus":0.014959659833248751,"score_gpt":0.205472006060459,"score_spread":0.19051234622721025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289823623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96824384,0.0005249207,0.021762168,0.002691802,0.000070809176,0.000011083053,0.00023606277,0.000062762294,0.0063965847],"genre_scores_gemma":[0.99933285,0.00005595632,0.00014815648,0.000021382572,0.00002682569,0.0000016118946,0.000027847655,0.000005242409,0.00038010726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998814,0.00039241687,0.000083057734,0.00020834306,0.00026509896,0.00023707454],"domain_scores_gemma":[0.9273858,0.058978852,0.008775054,0.0015520252,0.0013747559,0.0019335871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004618352,0.00045287953,0.0010395745,0.00080527365,0.00051566464,0.004317073,0.0010455905,0.0030995023,0.0057399776],"category_scores_gemma":[0.0660535,0.0006217714,0.0005567155,0.0008047394,0.0017294473,0.0052105566,0.001391928,0.003383817,0.00036319724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041840244,0.00059888954,0.1530969,0.00030770974,0.0004387806,0.0055413856,0.0011693917,0.35433328,0.008077078,0.4270264,0.0036556493,0.041570522],"study_design_scores_gemma":[0.000080020174,0.00032897078,0.047511175,0.000036010384,0.0001057611,0.00082148786,0.0005379247,0.50749385,0.001430966,0.44104558,0.00046375833,0.00014453717],"about_ca_topic_score_codex":0.0012134139,"about_ca_topic_score_gemma":0.00066719647,"teacher_disagreement_score":0.0057399776,"about_ca_system_score_codex":0.0008557127,"about_ca_system_score_gemma":0.00045113426,"threshold_uncertainty_score":0.024424434},"labels":[],"label_agreement":null},{"id":"W4289839941","doi":"10.35219/rce2067053292","title":"Changes of the Time Intervals Specific to Calendar Anomalies: the Case of TOQ Effect on Bucharest Stock Exchange","year":2020,"lang":"en","type":"article","venue":"Risk in Contemporary Economy","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Anomaly (physics); Stock (firearms); Quarter (Canadian coin); Stock exchange; Mathematics; Statistics; Economics; Geography; Physics; Finance","score_opus":0.060477248701168704,"score_gpt":0.2345008397580712,"score_spread":0.17402359105690252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289839941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953565,0.0004579366,0.0003740916,0.00029187932,0.000052914318,0.000009994287,0.0007299962,0.000026090525,0.0027006166],"genre_scores_gemma":[0.99885523,0.00012718367,0.00008804312,0.000028301645,0.000058228536,0.0000034387335,0.00054835924,0.000007516761,0.0002836635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941075,0.00010154995,0.000060633964,0.0001536856,0.000177734,0.00009564157],"domain_scores_gemma":[0.9960007,0.0013741523,0.0016243035,0.00026934955,0.00048559273,0.0002459203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009979792,0.0002283784,0.00033472857,0.0016507414,0.00026705448,0.0011499625,0.00029850806,0.0004703402,0.0024326525],"category_scores_gemma":[0.005428738,0.00009627908,0.00041866617,0.0014565026,0.00039837806,0.0006716077,0.0005942553,0.0006667754,0.00032712365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003800049,0.00007926567,0.9767883,0.0000657222,0.0001835375,0.0012066228,0.00054414815,0.0034873025,0.0016410804,0.0015986953,0.0024510347,0.011574413],"study_design_scores_gemma":[0.000011340941,0.00005815603,0.9912054,0.00001875806,0.000067040855,0.00019175747,0.0005101258,0.0048651416,0.000501918,0.00046700766,0.0020847737,0.000018543626],"about_ca_topic_score_codex":0.010818541,"about_ca_topic_score_gemma":0.0076744584,"teacher_disagreement_score":0.010818541,"about_ca_system_score_codex":0.000478823,"about_ca_system_score_gemma":0.0002703518,"threshold_uncertainty_score":0.021511137},"labels":[],"label_agreement":null},{"id":"W4290068909","doi":"10.33423/jabe.v24i3.5307","title":"Performance of a Balanced Portfolio With Active Covered-Call Strategies","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Investment strategy; Business; Position (finance); Financial economics; Investment performance; Stock exchange; Market neutral; Asset (computer security); Asset allocation; Project portfolio management; Finance; Economics; Return on investment; Microeconomics; Computer science","score_opus":0.011558612425089656,"score_gpt":0.1718203556423087,"score_spread":0.16026174321721903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290068909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940614,0.0004456229,0.0026665833,0.000066711575,0.000015542928,0.00001740136,0.00018108441,0.000055447323,0.0024902266],"genre_scores_gemma":[0.99803334,0.00008844689,0.00069322996,0.0000118138,0.0000072709445,0.0000076232864,0.0004104546,0.0000070643664,0.0007407411],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998874,0.00022727833,0.00008573539,0.0001835408,0.0004230319,0.00020632111],"domain_scores_gemma":[0.99682695,0.0012248813,0.000805704,0.00026589376,0.00047537012,0.00040124526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024193893,0.0007579752,0.0007593717,0.00080186623,0.00016134567,0.0019088754,0.00045260895,0.00068174617,0.001702288],"category_scores_gemma":[0.008798474,0.00015897102,0.00034070257,0.0007367251,0.00026713085,0.0018481348,0.0007202877,0.00034200185,0.0004389487],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0052287793,0.0009563309,0.17801814,0.000267119,0.0007553622,0.0012130848,0.00029520874,0.54126495,0.019610915,0.009072026,0.0032549098,0.24006307],"study_design_scores_gemma":[0.00032483024,0.0064763986,0.18850271,0.0000732025,0.00041012163,0.00078684755,0.0003770225,0.7787174,0.011610242,0.0071095107,0.005518729,0.00009293886],"about_ca_topic_score_codex":0.0019577723,"about_ca_topic_score_gemma":0.0009854969,"teacher_disagreement_score":0.0024193893,"about_ca_system_score_codex":0.000605055,"about_ca_system_score_gemma":0.00047827765,"threshold_uncertainty_score":0.012795091},"labels":[],"label_agreement":null},{"id":"W4290829613","doi":"10.1093/acprof:oso/9780199202911.002.0007","title":"The Contributors","year":2006,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.01359153905834066,"score_gpt":0.18648701080279126,"score_spread":0.1728954717444506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290829613","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00083088793,0.0052258493,0.0014944776,0.02539137,0.049501434,0.00025180043,0.010780057,0.0013407953,0.9051833],"genre_scores_gemma":[0.0023399096,0.0021367015,0.00044085656,0.0030186165,0.0054499656,0.00008250053,0.004320376,0.0003694668,0.98184156],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991186,0.00010381413,0.00004854648,0.00015144072,0.00046534516,0.00011215642],"domain_scores_gemma":[0.9959533,0.00041761543,0.00014603321,0.00039277162,0.0022927138,0.00079753186],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007615166,0.0007061609,0.00058258255,0.002582454,0.001717988,0.0052367547,0.0011799509,0.0013450282,0.66299236],"category_scores_gemma":[0.006636264,0.00025402557,0.0003994337,0.0026095319,0.00039707185,0.0028244494,0.0023708933,0.0015097723,0.52999103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007441072,0.0000053866534,0.000069751004,0.000035185505,7.343913e-7,0.000017852399,0.000022908247,0.000015040671,0.00004090159,0.0019421696,0.9764885,0.02135414],"study_design_scores_gemma":[0.0000011777825,0.0000019216843,0.00012268007,0.000039550716,5.7620025e-7,0.000029159726,0.00003505647,0.000010229381,0.000020597554,0.0004417243,0.99929583,0.0000014059503],"about_ca_topic_score_codex":0.0025114908,"about_ca_topic_score_gemma":0.003480689,"teacher_disagreement_score":0.33700764,"about_ca_system_score_codex":0.0016427437,"about_ca_system_score_gemma":0.0020464046,"threshold_uncertainty_score":0.4807005},"labels":[],"label_agreement":null},{"id":"W4292170300","doi":"10.1016/j.jmse.2022.07.003","title":"Correlation uncertainty, limited participation, and flight to quality","year":2022,"lang":"en","type":"article","venue":"Journal of Management Science and Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Asset (computer security); Ambiguity; Correlation coefficient; Econometrics; Quality (philosophy); Economics; Institutional investor; Financial economics; Information quality; Correlation; Microeconomics; Finance; Mathematics; Computer science; Statistics; Physics; Information system","score_opus":0.03014505527607358,"score_gpt":0.23577443715357724,"score_spread":0.20562938187750365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292170300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97231233,0.00016927645,0.021481626,0.0004104114,0.0000067512883,0.000026033913,0.000056103778,0.00002414476,0.005513464],"genre_scores_gemma":[0.9991579,0.000021788142,0.0005019339,0.00002204508,0.000004737271,0.000004207802,0.000012806328,0.0000015813275,0.00027283546],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912196,0.00024167025,0.00006238026,0.00018870563,0.00019464268,0.00019065199],"domain_scores_gemma":[0.9771244,0.010766212,0.007923827,0.002236968,0.0007301337,0.0012185322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002521284,0.00021330774,0.00060640275,0.0004549495,0.0003902382,0.0017248072,0.00057007984,0.00088612945,0.004426482],"category_scores_gemma":[0.024758302,0.00026817125,0.00032491316,0.00040060552,0.0012557303,0.0018935826,0.001396973,0.0011880809,0.00020958873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020439979,0.0008963215,0.56188136,0.00027574674,0.00048051155,0.0015465366,0.002702286,0.05420786,0.01713494,0.25026855,0.0017312346,0.10683071],"study_design_scores_gemma":[0.00026194798,0.00083297916,0.4075533,0.000073701216,0.00016155378,0.0012459544,0.0016756542,0.17058702,0.004244045,0.41099977,0.0022365472,0.00012752185],"about_ca_topic_score_codex":0.0011473397,"about_ca_topic_score_gemma":0.00086965197,"teacher_disagreement_score":0.004426482,"about_ca_system_score_codex":0.00050314324,"about_ca_system_score_gemma":0.00033939612,"threshold_uncertainty_score":0.014808059},"labels":[],"label_agreement":null},{"id":"W4292771374","doi":"10.1016/j.najef.2022.101790","title":"Multivariate risk aversion utility, application to ESG investments","year":2022,"lang":"en","type":"article","venue":"The North American Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Risk aversion (psychology); Context (archaeology); Multivariate statistics; Economics; Corporate governance; Microeconomics; Asset (computer security); Financial economics; Expected utility hypothesis; Actuarial science; Econometrics; Business; Finance; Statistics; Computer science; Mathematics","score_opus":0.016712862721003353,"score_gpt":0.20260206419466606,"score_spread":0.1858892014736627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292771374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07853843,0.0026814789,0.89995325,0.0020342742,0.00016326549,0.00010067862,0.00031017055,0.0003409121,0.015877629],"genre_scores_gemma":[0.9083985,0.0029375239,0.07041609,0.00014828975,0.0003421505,0.00011668593,0.00018632654,0.00009983609,0.017354546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993874,0.00038161429,0.000020988247,0.00006877412,0.000083005056,0.00005820652],"domain_scores_gemma":[0.99541676,0.0033701914,0.00026744365,0.00027989203,0.0004068077,0.00025893658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033637627,0.0010779682,0.0014096489,0.0014389416,0.0004481052,0.0017584146,0.0011075542,0.0010874873,0.004665864],"category_scores_gemma":[0.01737073,0.00049443025,0.0009470297,0.0019364201,0.0015247233,0.0027432798,0.0016828962,0.0024487856,0.000244857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013896266,0.00015370897,0.00407039,0.00014035353,0.00010818325,0.00021864189,0.00026471278,0.22306843,0.0006709681,0.7074017,0.0045415238,0.059222408],"study_design_scores_gemma":[0.000021864116,0.000041699936,0.0018076894,0.000030138259,0.000031457315,0.000057522255,0.00006763889,0.64886177,0.00013913705,0.34705323,0.0018592725,0.000028602302],"about_ca_topic_score_codex":0.0077362843,"about_ca_topic_score_gemma":0.0056502586,"teacher_disagreement_score":0.0077362843,"about_ca_system_score_codex":0.001687092,"about_ca_system_score_gemma":0.0011056687,"threshold_uncertainty_score":0.017789483},"labels":[],"label_agreement":null},{"id":"W4293127894","doi":"10.2139/ssrn.3980151","title":"'Buy the Rumor, Sell the News': Liquidity Provision by Bond Funds Following Corporate News Events","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rumor; Business; Market liquidity; Bond; Financial system; Advertising; Finance; Public relations; Political science","score_opus":0.022797053477719452,"score_gpt":0.20772586216568314,"score_spread":0.18492880868796369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293127894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887199,0.00046369646,0.0002664065,0.0034379659,0.00007459462,0.0000145115555,0.00021514301,0.000019516114,0.006788207],"genre_scores_gemma":[0.99816895,0.00018105797,0.000056354544,0.00018053588,0.00006834976,0.000005423542,0.00010942412,0.0000070368615,0.0012228973],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996221,0.00015552637,0.00003034826,0.000052335974,0.000050771643,0.00008884176],"domain_scores_gemma":[0.9869083,0.0071140546,0.004476008,0.00026220872,0.00046048523,0.0007789308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018193593,0.00017039622,0.00035129723,0.00048669265,0.0006760722,0.0037073866,0.0007631287,0.0032929513,0.007195444],"category_scores_gemma":[0.02999827,0.00034418562,0.00021097618,0.00064146594,0.00074174337,0.0024607892,0.0012580545,0.0016035265,0.001083292],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013133919,0.0028280932,0.7434113,0.00064686354,0.000586964,0.004145355,0.014679074,0.009409185,0.011297295,0.03946809,0.03414715,0.12624665],"study_design_scores_gemma":[0.00043154717,0.0010167449,0.9276345,0.00016100239,0.00043858585,0.0005957072,0.0138682,0.018375799,0.0018185658,0.028168209,0.007369034,0.00012211071],"about_ca_topic_score_codex":0.0074066664,"about_ca_topic_score_gemma":0.010569077,"teacher_disagreement_score":0.0074066664,"about_ca_system_score_codex":0.0005681482,"about_ca_system_score_gemma":0.00047777756,"threshold_uncertainty_score":0.024071157},"labels":[],"label_agreement":null},{"id":"W4293384621","doi":"10.1111/j.1540-6261.2009.01524.x","title":"Global Currency Hedging","year":2010,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":245,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Currency; Liberian dollar; Hedge; Foreign exchange risk; Monetary economics; Equity (law); Us dollar; Hedge fund; Economics; Bond; Position (finance); Financial economics; Business; Financial system; Finance","score_opus":0.02136393575024117,"score_gpt":0.22751589878336678,"score_spread":0.2061519630331256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293384621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6020616,0.03618798,0.024537383,0.006955902,0.002389283,0.00012350602,0.006823253,0.0006195942,0.32030156],"genre_scores_gemma":[0.9762725,0.0032427183,0.0020190277,0.0002698671,0.00028706092,0.000011915035,0.0014908105,0.000033299093,0.016372781],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997583,0.00004344406,0.000017413531,0.000059338647,0.000093652845,0.000027787126],"domain_scores_gemma":[0.9991002,0.00020378665,0.00022084723,0.0001424247,0.00023907512,0.00009370453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00099735,0.00053809816,0.0004339896,0.0015126927,0.00024020091,0.0022855883,0.0004233013,0.0005444942,0.012868817],"category_scores_gemma":[0.0028835232,0.000089606765,0.00024298136,0.0023566731,0.00048213318,0.0018845595,0.000987043,0.0007824513,0.000942132],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005603702,0.00011603773,0.10513719,0.0005752527,0.00032770692,0.0010744183,0.00050485076,0.047377426,0.0021997918,0.18652178,0.05785571,0.5977494],"study_design_scores_gemma":[0.00016511769,0.0006577807,0.20019427,0.000892416,0.00048038625,0.0015046938,0.0015785374,0.10331493,0.007514671,0.33506474,0.348458,0.00017442464],"about_ca_topic_score_codex":0.0025875203,"about_ca_topic_score_gemma":0.0018152663,"teacher_disagreement_score":0.012868817,"about_ca_system_score_codex":0.0008225106,"about_ca_system_score_gemma":0.0003899907,"threshold_uncertainty_score":0.043050468},"labels":[],"label_agreement":null},{"id":"W4293570684","doi":"10.1108/mf-07-2022-0307","title":"Understanding leveraged ETFs’ compounding effect","year":2022,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Volatility (finance); Econometrics; Economics; Stock (firearms); Financial economics; Empirical research; Empirical evidence; Realized variance; Statistics; Mathematics","score_opus":0.08611049985523557,"score_gpt":0.2191904290186162,"score_spread":0.13307992916338063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293570684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753086,0.00058545097,0.016047625,0.00031903374,0.000024328148,0.000025303787,0.0000966548,0.000102705664,0.0074903434],"genre_scores_gemma":[0.9990402,0.00007345294,0.00059624604,0.000012667606,0.000008987854,0.000002355624,0.000019396477,0.0000032081089,0.00024359525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995882,0.000078844176,0.000026824535,0.0000815227,0.00013657953,0.00008807068],"domain_scores_gemma":[0.9957177,0.0021680824,0.0012425601,0.00034480356,0.00029117826,0.00023565047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013415278,0.00048146473,0.00054788124,0.00067314785,0.00025421384,0.0013835654,0.00050532,0.00057505,0.0028398023],"category_scores_gemma":[0.008797285,0.00018644768,0.000389472,0.0004517645,0.00082247413,0.0022978177,0.00089386926,0.0006283131,0.00015666953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007484366,0.00036212264,0.16300097,0.00015987635,0.00021518802,0.0016185475,0.00026323154,0.64977175,0.01679117,0.08292247,0.0012290413,0.08291715],"study_design_scores_gemma":[0.00009487441,0.0007549192,0.07775865,0.000047982263,0.000110404944,0.0005723908,0.00017519442,0.8640253,0.010628324,0.044108313,0.0016416156,0.00008206492],"about_ca_topic_score_codex":0.0029100636,"about_ca_topic_score_gemma":0.0011878562,"teacher_disagreement_score":0.0029100636,"about_ca_system_score_codex":0.00084366265,"about_ca_system_score_gemma":0.000546856,"threshold_uncertainty_score":0.009500086},"labels":[],"label_agreement":null},{"id":"W4293796422","doi":"10.2139/ssrn.4192925","title":"The Need for Fees at a DEX: How Increases in Fees Can Increase DEX Trading Volume","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Revenue; Alternative trading system; Monetary economics; Business; Investment (military); Economics; Algorithmic trading; Finance","score_opus":0.01413713657800288,"score_gpt":0.19290081698477443,"score_spread":0.17876368040677154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293796422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7029193,0.005264958,0.017673586,0.032581124,0.0014379257,0.000094424446,0.0008328006,0.0005412376,0.23865473],"genre_scores_gemma":[0.99277955,0.00024331134,0.0008257779,0.00051103364,0.00012613513,0.0000067070755,0.00004689334,0.00003890313,0.0054216115],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99809533,0.0005871761,0.00014527891,0.00023567809,0.0006289443,0.00030765287],"domain_scores_gemma":[0.9810501,0.011267376,0.002946236,0.00109342,0.0017958434,0.0018469763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015407836,0.00038252503,0.00044593218,0.00064378866,0.0009260914,0.006024695,0.00094262953,0.0027803734,0.026178526],"category_scores_gemma":[0.031119166,0.00022066673,0.0005637823,0.00074853067,0.0012395126,0.00669339,0.0016337616,0.0021303135,0.002893985],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005107119,0.0024018264,0.15956801,0.0010830042,0.0004848893,0.0043901238,0.002744092,0.057479493,0.019990819,0.37247935,0.058634244,0.31563702],"study_design_scores_gemma":[0.00048725982,0.001760457,0.17090358,0.0004584298,0.0007052029,0.003196933,0.0077197785,0.08256622,0.0122257415,0.6152565,0.10433446,0.00038553294],"about_ca_topic_score_codex":0.002341238,"about_ca_topic_score_gemma":0.0023970194,"teacher_disagreement_score":0.026178526,"about_ca_system_score_codex":0.0014939884,"about_ca_system_score_gemma":0.0008385753,"threshold_uncertainty_score":0.08757591},"labels":[],"label_agreement":null},{"id":"W4294221367","doi":"10.1257/jep.36.3.29","title":"The Economics of Intangible Capital","year":2022,"lang":"en","type":"article","venue":"The Journal of Economic Perspectives","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":159,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economic rent; Economics; Investment (military); Valuation (finance); Capital (architecture); Microeconomics; Distribution (mathematics); Industrial organization; Business; Finance","score_opus":0.019115734779218945,"score_gpt":0.20956865236043776,"score_spread":0.19045291758121882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294221367","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.122582085,0.05187093,0.09881526,0.053154286,0.0005480522,0.00011527041,0.000992823,0.00011433324,0.671807],"genre_scores_gemma":[0.93496084,0.017441673,0.0049420777,0.0011492396,0.0005356163,0.00008520134,0.00011761204,0.000028683267,0.04073911],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999483,0.00015784243,0.00001703377,0.00007262757,0.00018182166,0.00008765244],"domain_scores_gemma":[0.9984181,0.00085738074,0.00022888104,0.00013038363,0.00021845772,0.00014683534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008215761,0.0003904981,0.00029924666,0.0011164709,0.00074488524,0.00434365,0.0005373245,0.0016383608,0.005876008],"category_scores_gemma":[0.002837682,0.00028400222,0.00031347238,0.0011673406,0.0044847387,0.0048142215,0.0010729214,0.0018102885,0.0006740241],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006858287,0.000013777963,0.00038405854,0.000018474124,0.0000047600843,0.000045271434,0.00003159214,0.0021429034,0.00007715118,0.99120414,0.0017426391,0.0043283254],"study_design_scores_gemma":[0.00000631666,0.000013009539,0.0011837732,0.000059880073,0.0000039859615,0.00007920181,0.000088111316,0.0026386145,0.00008911152,0.9753482,0.020483036,0.0000067993674],"about_ca_topic_score_codex":0.0029713602,"about_ca_topic_score_gemma":0.0019933148,"teacher_disagreement_score":0.005876008,"about_ca_system_score_codex":0.0037926645,"about_ca_system_score_gemma":0.001024282,"threshold_uncertainty_score":0.027517796},"labels":[],"label_agreement":null},{"id":"W4294655829","doi":"10.2139/ssrn.2212016","title":"Growth Options and Firm Valuation","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Volatility (finance); Economics; Econometrics; Valuation (finance); Portfolio; Volatility smile; Systematic risk; Financial economics; Stock (firearms); Implied volatility; Volatility swap; Accounting","score_opus":0.018974192817270825,"score_gpt":0.20397054045168422,"score_spread":0.1849963476344134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294655829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7721485,0.016461466,0.05923345,0.012710066,0.0002968889,0.000027791613,0.00047245086,0.0001316418,0.13851778],"genre_scores_gemma":[0.99268794,0.001034832,0.0006657682,0.000044135064,0.00009347841,0.0000045726692,0.00006158333,0.0000072351963,0.0054006022],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999716,0.00014495885,0.000012770735,0.000032566957,0.00005389761,0.000039869385],"domain_scores_gemma":[0.99639064,0.0025167097,0.00042144165,0.00017990137,0.00022125861,0.00027005567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012410637,0.00043632503,0.00035101117,0.00089045067,0.0003670797,0.0039219237,0.0005370127,0.0014108656,0.007649699],"category_scores_gemma":[0.009627876,0.00021066942,0.0003151174,0.0012694993,0.0015202174,0.0054013515,0.00088024925,0.0017250314,0.0006180068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001286033,0.000054582895,0.004552383,0.00003458994,0.000025141473,0.00040498248,0.0002495899,0.015530874,0.0005306649,0.9509547,0.002150658,0.02538334],"study_design_scores_gemma":[0.000007719604,0.0000101142805,0.0018298206,0.000018381124,0.0000059869553,0.00010660477,0.0001389687,0.02602947,0.0000976778,0.9704579,0.0012891548,0.000008294817],"about_ca_topic_score_codex":0.00082836166,"about_ca_topic_score_gemma":0.0006419714,"teacher_disagreement_score":0.007649699,"about_ca_system_score_codex":0.00094636757,"about_ca_system_score_gemma":0.00029826057,"threshold_uncertainty_score":0.025590777},"labels":[],"label_agreement":null},{"id":"W4295708999","doi":"10.2139/ssrn.4202792","title":"Nudging Towards Better Earnings Forecasts","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Earnings; Economics; Business; Econometrics; Accounting","score_opus":0.01608025821636556,"score_gpt":0.19968455265323853,"score_spread":0.18360429443687298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295708999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2337846,0.0098611945,0.53439134,0.07756741,0.007005294,0.00017162405,0.003161761,0.0059177224,0.12813905],"genre_scores_gemma":[0.87368965,0.002519251,0.100522116,0.0028704563,0.002291491,0.000043837033,0.0015538827,0.0005171986,0.01599225],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9966799,0.001193258,0.00024895105,0.00067298085,0.0009930502,0.00021187404],"domain_scores_gemma":[0.97372425,0.011859401,0.004147533,0.004796132,0.004604631,0.00086798996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009723106,0.00068983994,0.0007621185,0.0020350406,0.00081675407,0.0063174316,0.0008276398,0.002572667,0.015626872],"category_scores_gemma":[0.058668833,0.0004217146,0.00036831424,0.0015809225,0.00076568144,0.008711014,0.0019014776,0.0032772867,0.0051428475],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094613235,0.00037282295,0.031013737,0.0002768999,0.0001744969,0.00030520314,0.0013640316,0.06717806,0.006756897,0.15432818,0.082835175,0.6544484],"study_design_scores_gemma":[0.00020545411,0.00035927026,0.021886501,0.0003803795,0.00016304968,0.00023154658,0.0012308182,0.26506495,0.011913475,0.58537066,0.112953775,0.00024013079],"about_ca_topic_score_codex":0.0049240547,"about_ca_topic_score_gemma":0.0060661635,"teacher_disagreement_score":0.015626872,"about_ca_system_score_codex":0.0009720515,"about_ca_system_score_gemma":0.0014786673,"threshold_uncertainty_score":0.05227709},"labels":[],"label_agreement":null},{"id":"W4295815804","doi":"10.1080/10835547.2022.2118100","title":"Do Designated Sales Agents in ATM Offerings Exploit Post-Earnings-Announcement Drift? Evidence from Real Estate Investment Trusts","year":2022,"lang":"en","type":"article","venue":"Journal of Real Estate Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Exploit; Executive summary; Business; Earnings; Real estate investment trust; Real estate; Finance; Earnings before interest, taxes, depreciation, and amortization; Investment (military); Economics; Accounting; Monetary economics","score_opus":0.06002298179483503,"score_gpt":0.2587090010597201,"score_spread":0.19868601926488508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295815804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992969,0.000035082394,0.000027729679,0.000051807787,0.0000015867687,0.0000018536173,0.000020058837,8.2941676e-7,0.0005641769],"genre_scores_gemma":[0.9995863,0.000041006853,0.000017756418,0.000013424726,0.000005626354,8.3410765e-7,0.000033328604,5.3658766e-7,0.0003012162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960214,0.000099699995,0.000036173155,0.00005470992,0.00010956202,0.00009774561],"domain_scores_gemma":[0.9861783,0.002116312,0.00964408,0.00046956234,0.00055761484,0.0010341811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008408805,0.00009230082,0.00014981697,0.00036171917,0.00030824664,0.00093437306,0.00023529888,0.0003905335,0.0027377633],"category_scores_gemma":[0.0070327623,0.00012636693,0.00010917171,0.0003993492,0.00042498752,0.00069961115,0.0004993751,0.00042921747,0.00056792836],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037177914,0.00020651362,0.9873167,0.000015945456,0.000020582575,0.00035506146,0.001249084,0.00011426823,0.0007745978,0.000295759,0.000286689,0.008992951],"study_design_scores_gemma":[0.000022188911,0.00022496365,0.9934354,0.00001259201,0.000021373307,0.0002611855,0.0032938945,0.0008054983,0.00055412424,0.00019942425,0.0011601256,0.000009191178],"about_ca_topic_score_codex":0.0040351674,"about_ca_topic_score_gemma":0.0060982993,"teacher_disagreement_score":0.0040351674,"about_ca_system_score_codex":0.0003024666,"about_ca_system_score_gemma":0.00021293404,"threshold_uncertainty_score":0.0091587305},"labels":[],"label_agreement":null},{"id":"W4295868774","doi":"10.1111/fima.12408","title":"Is it time for popcorn? Daily box office earnings and aggregate stock returns","year":2022,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Earnings; Stock (firearms); Economics; Consumption (sociology); Stock market; Yield (engineering); Aggregate (composite); Econometrics; Monetary economics; Financial economics; Finance","score_opus":0.025329682300245068,"score_gpt":0.21458611206817102,"score_spread":0.18925642976792595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295868774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980539,0.00013664301,0.00024005532,0.00015997491,0.000010531414,0.000002178262,0.00019456074,0.000005326942,0.001196782],"genre_scores_gemma":[0.99925286,0.00008074895,0.00007889684,0.000029456161,0.000025696116,0.0000014925456,0.0001690297,0.0000030001272,0.00035877113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987674,0.00002615757,0.000009483878,0.000030080058,0.00002795125,0.000029431463],"domain_scores_gemma":[0.99540097,0.0012674595,0.0024225987,0.00023207591,0.0001878308,0.000489146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048027912,0.00015659096,0.00023851148,0.00045861574,0.00014159648,0.0009014928,0.00016728674,0.00039536046,0.0036042964],"category_scores_gemma":[0.0051910817,0.00009280831,0.00014229637,0.0006066782,0.00034042902,0.00068623584,0.00030813002,0.00040437316,0.00041221865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041764707,0.00012833282,0.98084956,0.000023681432,0.00011047649,0.00015346306,0.00017240137,0.0010338584,0.001489773,0.0014237216,0.000730969,0.013466092],"study_design_scores_gemma":[0.0000046761975,0.0000654132,0.9953733,0.000013797111,0.000022290453,0.000057980193,0.0002970516,0.0015851419,0.00040904843,0.0015081828,0.0006536285,0.000009455705],"about_ca_topic_score_codex":0.0025369304,"about_ca_topic_score_gemma":0.003751407,"teacher_disagreement_score":0.0036042964,"about_ca_system_score_codex":0.00023942192,"about_ca_system_score_gemma":0.00014573343,"threshold_uncertainty_score":0.012057543},"labels":[],"label_agreement":null},{"id":"W4295869487","doi":"10.2139/ssrn.4199699","title":"Does the Mad Money Show cause investors to go madly attentive?","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Monetary economics; Economics; Business; Financial economics","score_opus":0.017657098795594052,"score_gpt":0.20730463949686512,"score_spread":0.18964754070127107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295869487","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36681318,0.009090644,0.0016039917,0.43046516,0.0066816355,0.000034961267,0.00048122086,0.00022310414,0.1846061],"genre_scores_gemma":[0.939001,0.0029097325,0.00033216612,0.035949286,0.0028918958,0.00001662973,0.00009819608,0.00007039863,0.018730687],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991704,0.0003149315,0.000028050323,0.00007741088,0.00020418441,0.00020511204],"domain_scores_gemma":[0.98825663,0.004076366,0.0041745645,0.00062665815,0.0012345369,0.0016312711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017588045,0.00017901039,0.00039280474,0.0005606632,0.0009939906,0.0033276188,0.00042040084,0.0034847623,0.024944847],"category_scores_gemma":[0.025389913,0.00016836371,0.00023402489,0.000454948,0.0020051682,0.003321605,0.0009944896,0.0028463358,0.003908553],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002506724,0.0008829806,0.18519428,0.00054699957,0.00053564494,0.0022342838,0.005058461,0.00056243455,0.0036736215,0.17281318,0.42177492,0.20421647],"study_design_scores_gemma":[0.00045134538,0.0010469244,0.26959404,0.0008812625,0.000551083,0.0020024856,0.01815778,0.0018633906,0.0051773586,0.26915386,0.43090793,0.00021245598],"about_ca_topic_score_codex":0.0018527331,"about_ca_topic_score_gemma":0.0025871645,"teacher_disagreement_score":0.024944847,"about_ca_system_score_codex":0.00070358004,"about_ca_system_score_gemma":0.0007180254,"threshold_uncertainty_score":0.08344883},"labels":[],"label_agreement":null},{"id":"W4295873154","doi":"10.3905/jpm.2022.1.422","title":"Financial Anomalies in Asset Allocation: Risk Mitigation with Cross-Sectional Equity Strategies","year":2022,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CARE Canada; University of Toronto","funders":"","keywords":"Portfolio; Economics; Investment style; Sharpe ratio; Equity (law); Asset allocation; Recession; Capital asset pricing model; Financial economics; Monetary economics; Macroeconomics; Return on investment","score_opus":0.02424772309146296,"score_gpt":0.2533126183295319,"score_spread":0.22906489523806894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295873154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5517212,0.005391094,0.4281582,0.0017290708,0.0001503375,0.00013941774,0.00009703797,0.00050440314,0.012109232],"genre_scores_gemma":[0.97547615,0.0004991401,0.022548463,0.00008995208,0.000059817954,0.000025395317,0.00003415984,0.000017741475,0.0012492941],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935645,0.0002954696,0.000050283576,0.00010533113,0.0001209243,0.00007156873],"domain_scores_gemma":[0.99744225,0.001238171,0.0005634476,0.0003610276,0.0002579742,0.00013701612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026080965,0.0006721779,0.00062504935,0.00085677614,0.00016702375,0.0013406223,0.0006901977,0.0007441928,0.0015871389],"category_scores_gemma":[0.007348914,0.00027672507,0.00040372126,0.00057861075,0.00037099264,0.0016029602,0.0010273771,0.00065193645,0.00020431298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056778203,0.0007593829,0.056047097,0.00015897234,0.00077378313,0.00019207507,0.0002245417,0.4290063,0.0075537497,0.04814684,0.0017005795,0.45486876],"study_design_scores_gemma":[0.00007908865,0.00074713136,0.015901756,0.000058650337,0.0002501778,0.00015802507,0.00009555828,0.9352861,0.0030579173,0.042136576,0.0021957066,0.00003332677],"about_ca_topic_score_codex":0.0008387583,"about_ca_topic_score_gemma":0.00077086006,"teacher_disagreement_score":0.0026080965,"about_ca_system_score_codex":0.00043396046,"about_ca_system_score_gemma":0.0005189016,"threshold_uncertainty_score":0.013793051},"labels":[],"label_agreement":null},{"id":"W4296137431","doi":"10.3390/jrfm15090399","title":"Paradigm Shift in Finance: The Transformation of the Theory from Perfect to Imperfect Capital Markets Using the Example of Company Valuation","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg","keywords":"Paradigm shift; Valuation (finance); Imperfect; Economics; Financial market; Politics; Neoclassical economics; Finance; Positive economics; Financial economics; Political science; Epistemology","score_opus":0.021605690332573146,"score_gpt":0.2136169107933051,"score_spread":0.19201122046073196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296137431","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027521372,0.03274644,0.56543714,0.09841773,0.0026163587,0.00015727237,0.00024313404,0.00018539258,0.2726751],"genre_scores_gemma":[0.8354738,0.017767012,0.1223956,0.0070579695,0.003685924,0.00037845265,0.0001225383,0.00015931636,0.012959354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9938968,0.0036018873,0.00019727933,0.00052337424,0.0014461959,0.00033446137],"domain_scores_gemma":[0.9942298,0.0041044997,0.0003333094,0.00056702114,0.00055602053,0.00020945459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072523574,0.0009772726,0.00096400786,0.0026281718,0.0024457194,0.0077905147,0.0015103444,0.0038097696,0.0028508678],"category_scores_gemma":[0.008197953,0.0004091622,0.0013684579,0.001884808,0.026536116,0.015308684,0.004303595,0.0068866373,0.0005058892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002783509,0.0000040441428,0.000047972164,0.000015882519,0.0000024424642,0.00002722279,0.00026520086,0.00038086844,0.000028500359,0.9972301,0.00050310703,0.0014919263],"study_design_scores_gemma":[0.000004226812,0.000006925308,0.000048159676,0.00003086252,0.0000015061364,0.00003915877,0.000092952105,0.0016595264,0.000037624086,0.98730695,0.010764992,0.000006977334],"about_ca_topic_score_codex":0.0023391875,"about_ca_topic_score_gemma":0.0009423053,"teacher_disagreement_score":0.0077905147,"about_ca_system_score_codex":0.005213232,"about_ca_system_score_gemma":0.0026884174,"threshold_uncertainty_score":0.038354576},"labels":[],"label_agreement":null},{"id":"W4296498685","doi":"10.36948/ijfmr.2020.v02i06.015","title":"An Analytical Overview of Investment Strategies","year":2020,"lang":"en","type":"article","venue":"International Journal For Multidisciplinary Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"sort; Investment (military); Momentum (technical analysis); Market data; Business; Financial market; Industrial organization; Economics; Marketing; Financial economics; Computer science; Finance; Law","score_opus":0.3681115647133485,"score_gpt":0.46078501843955805,"score_spread":0.09267345372620955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296498685","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035320338,0.02178472,0.30418637,0.012012646,0.0002498542,0.0004201553,0.0011567783,0.00033349483,0.6245356],"genre_scores_gemma":[0.7050091,0.03500365,0.11653098,0.0013958954,0.0004497839,0.00060183194,0.0009448239,0.0003422604,0.13972168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99829715,0.0003966101,0.00009948811,0.0002085401,0.0006264989,0.00037178776],"domain_scores_gemma":[0.9979736,0.0008101077,0.00029608875,0.00018800618,0.000598413,0.00013373834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025213775,0.0009916509,0.00042209667,0.0040514776,0.0015553359,0.0061991,0.0017223221,0.0015347354,0.015250905],"category_scores_gemma":[0.008196387,0.0005496581,0.0007044889,0.0042453953,0.0019048261,0.004856449,0.0013215144,0.0016486588,0.0025603508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001288661,0.00001994258,0.0020475874,0.00008349007,0.000015431993,0.000081832295,0.00025544377,0.0063562347,0.00022171995,0.94040585,0.004434427,0.046065122],"study_design_scores_gemma":[0.000012495809,0.00007674215,0.0050498275,0.00047960188,0.000039570135,0.00042533225,0.0010152131,0.039835315,0.001403233,0.7146365,0.23695584,0.000070181195],"about_ca_topic_score_codex":0.017571203,"about_ca_topic_score_gemma":0.013049759,"teacher_disagreement_score":0.017571203,"about_ca_system_score_codex":0.0074680694,"about_ca_system_score_gemma":0.0033779973,"threshold_uncertainty_score":0.054184914},"labels":[],"label_agreement":null},{"id":"W4296782082","doi":"10.1093/rof/rfac062","title":"The Term Structure of Equity Risk Premia: Levered Noise and New Estimates","year":2022,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Equity (law); Econometrics; Dividend; Arbitrage; Economics; Term (time); Logarithm; Financial economics; Mathematics; Finance","score_opus":0.04481493802852421,"score_gpt":0.24495031426564287,"score_spread":0.20013537623711866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296782082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.515605,0.0064367075,0.46788108,0.0019255781,0.00016679172,0.000047489237,0.0007424476,0.00023661784,0.00695831],"genre_scores_gemma":[0.9739497,0.0011699799,0.023132017,0.00009865895,0.00023045612,0.0000219042,0.00045384848,0.000048469956,0.0008949421],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980812,0.0006472967,0.00020297417,0.00040046254,0.0005912411,0.00007686454],"domain_scores_gemma":[0.9585195,0.030029384,0.004709371,0.003548195,0.0028032458,0.0003902549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007941401,0.00048375592,0.0006875228,0.002479467,0.00022102491,0.0026099305,0.0007504363,0.0008200911,0.0014605355],"category_scores_gemma":[0.057409126,0.00039248058,0.0004313549,0.001105769,0.0009815408,0.0036994412,0.0010883113,0.0015690298,0.00028248294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006487916,0.00026723533,0.23276225,0.0006976538,0.0012395101,0.00065608544,0.0010614286,0.2211024,0.015480376,0.24593733,0.0040051863,0.27614173],"study_design_scores_gemma":[0.000035219335,0.00020156665,0.116109215,0.00030092004,0.0002014285,0.00030392222,0.00016819054,0.5706309,0.0053222994,0.3014922,0.005075871,0.00015824621],"about_ca_topic_score_codex":0.0012332891,"about_ca_topic_score_gemma":0.0008945756,"teacher_disagreement_score":0.007941401,"about_ca_system_score_codex":0.00048135343,"about_ca_system_score_gemma":0.00036356287,"threshold_uncertainty_score":0.041998625},"labels":[],"label_agreement":null},{"id":"W4296833488","doi":"10.2139/ssrn.4207132","title":"Wisdom of the Institutional Crowd: Implications for Anomaly Returns","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Institutional investor; Anomaly (physics); Price discovery; Momentum (technical analysis); Value (mathematics); Monetary economics; Trading strategy; Financial economics; Business; Tone (literature); Economics; Finance; Mathematics; Statistics","score_opus":0.021616780873980817,"score_gpt":0.21662779335189902,"score_spread":0.19501101247791822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296833488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64921683,0.0038524254,0.14544146,0.105918586,0.0017221358,0.00013356553,0.0012626274,0.00087288744,0.09157948],"genre_scores_gemma":[0.9925804,0.00053960015,0.0030236081,0.000974512,0.0011021587,0.00002467238,0.00008549594,0.000060710052,0.001608786],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969689,0.000797289,0.00020774193,0.00091928884,0.00075711077,0.0003496865],"domain_scores_gemma":[0.90056926,0.065235,0.012296467,0.011523574,0.005035542,0.005340186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011990008,0.00051730353,0.002446023,0.0025241768,0.0019448727,0.008659053,0.0023314117,0.0054822504,0.014381464],"category_scores_gemma":[0.12690876,0.0006091903,0.0006781617,0.0018777952,0.0059285536,0.014832255,0.004274582,0.004698749,0.0011146123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037021216,0.00018063636,0.029078264,0.00015223732,0.00018122976,0.00078503706,0.0010592721,0.024547983,0.00079112244,0.88225096,0.017885918,0.04271718],"study_design_scores_gemma":[0.000071646915,0.000028202172,0.005994611,0.000033464185,0.000030905776,0.00012469695,0.00044566265,0.030630488,0.0001366612,0.96088743,0.0015796648,0.00003652219],"about_ca_topic_score_codex":0.0018907791,"about_ca_topic_score_gemma":0.0018181942,"teacher_disagreement_score":0.014381464,"about_ca_system_score_codex":0.0013627639,"about_ca_system_score_gemma":0.0014484242,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4297158746","doi":"10.3390/jrfm15100427","title":"Optimizing Portfolio Risk of Cryptocurrencies Using Data-Driven Risk Measures","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cryptocurrency; Portfolio; Portfolio optimization; Kurtosis; Econometrics; Expected shortfall; Skewness; Spectral risk measure; Value at risk; Computer science; Risk measure; Volatility (finance); Economics; Actuarial science; Risk management; Financial economics; Statistics; Mathematics; Finance","score_opus":0.04558299711136072,"score_gpt":0.23155344359849198,"score_spread":0.18597044648713126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297158746","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18055905,0.0012526268,0.8146239,0.0004571026,0.000047164165,0.00009774189,0.0001114489,0.00017776838,0.0026731635],"genre_scores_gemma":[0.93657374,0.0006026101,0.061039746,0.000063740554,0.00003850694,0.000098042794,0.00015658919,0.00004236838,0.0013846188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921215,0.00029485553,0.00004807948,0.00014150886,0.00021082486,0.00009256018],"domain_scores_gemma":[0.99607545,0.0028048023,0.00042214812,0.00014898287,0.00038650457,0.00016211036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031498082,0.0010860887,0.0012876703,0.0009330244,0.000301305,0.0019667428,0.0007431329,0.0009685812,0.00080809474],"category_scores_gemma":[0.008393333,0.00050949707,0.0007043781,0.0007738129,0.0005982253,0.0017193151,0.0009797384,0.0011451172,0.00012207631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004908056,0.00004850954,0.0017424623,0.00004308163,0.00006273776,0.00006126802,0.00001749736,0.97329783,0.0007390631,0.006966779,0.00028342532,0.01668825],"study_design_scores_gemma":[0.000004559158,0.000024982923,0.00027453885,0.0000053804247,0.0000103831935,0.000009684081,0.0000045722463,0.9966788,0.00023124153,0.0026659444,0.000085908985,0.00000399396],"about_ca_topic_score_codex":0.0025500439,"about_ca_topic_score_gemma":0.001508682,"teacher_disagreement_score":0.0031498082,"about_ca_system_score_codex":0.0011194427,"about_ca_system_score_gemma":0.0013783921,"threshold_uncertainty_score":0.016657948},"labels":[],"label_agreement":null},{"id":"W4297323550","doi":"10.1287/mnsc.2022.4557","title":"Investor Attention and Option Returns","year":2022,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Portfolio; Aside; Financial economics; Economics; Behavioral economics; Margin (machine learning); Capital asset pricing model; Market portfolio; Asset (computer security); Finance","score_opus":0.02669383206591835,"score_gpt":0.20496414440121297,"score_spread":0.1782703123352946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297323550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9410923,0.00437065,0.006180754,0.0026780255,0.00006778743,0.000022559989,0.00017523493,0.000038962848,0.045373794],"genre_scores_gemma":[0.99736446,0.00046912127,0.00020575819,0.000115999654,0.00007394533,0.0000035940964,0.00003469614,0.000005030848,0.0017273921],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994417,0.00019598575,0.00002721944,0.00007623942,0.0001501473,0.00010874794],"domain_scores_gemma":[0.98178446,0.012434777,0.0038927298,0.00046032286,0.00059117423,0.00083661074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017391144,0.00024136738,0.00034526983,0.0007143656,0.00019782795,0.001508662,0.00023990613,0.00083785644,0.009177403],"category_scores_gemma":[0.021526845,0.00009028211,0.0001960469,0.00069215207,0.0005567611,0.0017732827,0.0008183238,0.0009747818,0.0006372401],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015107099,0.0008960995,0.5773481,0.000305009,0.00046786937,0.0011691533,0.0015664451,0.011194673,0.0076052896,0.12948634,0.0058730575,0.26257724],"study_design_scores_gemma":[0.00007804145,0.00052927824,0.8229594,0.00010211873,0.00018181608,0.000826756,0.00078263145,0.020096084,0.0024688118,0.14372204,0.008185377,0.0000676129],"about_ca_topic_score_codex":0.0009171885,"about_ca_topic_score_gemma":0.0006265888,"teacher_disagreement_score":0.009177403,"about_ca_system_score_codex":0.00050937664,"about_ca_system_score_gemma":0.00018067563,"threshold_uncertainty_score":0.030701518},"labels":[],"label_agreement":null},{"id":"W4297477324","doi":"10.3390/jrfm15100438","title":"A State-of-the-Art Fund Performance Index: Higher-Order Omega and Its Consistency with Almost Stochastic Dominance","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stochastic dominance; Omega; Dominance (genetics); Consistency (knowledge bases); Order (exchange); Mathematics; Sharpe ratio; Ranking (information retrieval); Mathematical economics; Econometrics; Economics; Computer science; Financial economics; Discrete mathematics; Finance; Artificial intelligence; Physics; Biology","score_opus":0.01416698071619369,"score_gpt":0.1883525336037942,"score_spread":0.17418555288760051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297477324","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4049315,0.0018544937,0.57918936,0.0008372182,0.00009142722,0.000087874236,0.00046012123,0.00023065651,0.012317386],"genre_scores_gemma":[0.97212213,0.00042427005,0.02618016,0.00010596454,0.00010045915,0.00004686881,0.00021173302,0.00002939371,0.0007789646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9926899,0.0020039654,0.00065415853,0.0014941933,0.0027255788,0.00043225012],"domain_scores_gemma":[0.9636458,0.021431837,0.007345236,0.0033001623,0.0035113061,0.00076570065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008079333,0.00076228986,0.0013820266,0.0034745766,0.0007605492,0.0029093924,0.0014083735,0.0010091099,0.0009503383],"category_scores_gemma":[0.04969043,0.00032343002,0.0011119356,0.0021203856,0.00300544,0.0050756843,0.0019075195,0.001486965,0.00020068244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031470237,0.00015512484,0.112478405,0.00040957218,0.00065887644,0.00063699763,0.000947055,0.25531724,0.008137272,0.48622373,0.002064814,0.13265619],"study_design_scores_gemma":[0.000022237129,0.00034429046,0.035286896,0.00009871964,0.00009499245,0.0006173827,0.00020224566,0.62592363,0.003212781,0.331246,0.0028176287,0.00013310429],"about_ca_topic_score_codex":0.0018151237,"about_ca_topic_score_gemma":0.00089319964,"teacher_disagreement_score":0.008079333,"about_ca_system_score_codex":0.0014900252,"about_ca_system_score_gemma":0.0011809034,"threshold_uncertainty_score":0.042728126},"labels":[],"label_agreement":null},{"id":"W4297492116","doi":"10.1007/s00291-022-00693-w","title":"Machine learning techniques for cross-sectional equity returns’ prediction","year":2022,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Universität Bremen","keywords":"Machine learning; Computer science; Artificial intelligence; Random forest; Support vector machine; Portfolio; Benchmark (surveying); Artificial neural network; Stock (firearms); Econometrics; Decision tree; Regression; Economics; Financial economics; Mathematics; Statistics","score_opus":0.05480379686306359,"score_gpt":0.2802640547166015,"score_spread":0.2254602578535379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297492116","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3743217,0.00584179,0.6105172,0.0015709879,0.00021734358,0.00008292135,0.000889347,0.0026236363,0.003935124],"genre_scores_gemma":[0.93984604,0.0007798401,0.05702301,0.00009602251,0.00013694135,0.0000664478,0.0007512979,0.000048319358,0.001252138],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871576,0.0006552098,0.00011026176,0.0001922264,0.00023850794,0.00008811381],"domain_scores_gemma":[0.9910499,0.007170112,0.0006142395,0.00045874645,0.00060575386,0.00010126243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005560388,0.0006818144,0.0009210311,0.003137315,0.00029904186,0.0009175958,0.00083994283,0.0009495979,0.0020060914],"category_scores_gemma":[0.015631376,0.00029841787,0.0007111866,0.0020815984,0.00033885293,0.0012758122,0.0008201567,0.001380402,0.0009325044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002078821,0.00023171624,0.03356589,0.000113237256,0.00034473438,0.00011264552,0.0000611086,0.74793476,0.0011715207,0.0043110973,0.0020573628,0.20988809],"study_design_scores_gemma":[0.0000034344473,0.000019367753,0.001948393,0.0000075049,0.000007261031,0.000013691815,0.000005613036,0.99593145,0.00017631304,0.0017401739,0.0001427497,0.0000040080217],"about_ca_topic_score_codex":0.0048836884,"about_ca_topic_score_gemma":0.0028614264,"teacher_disagreement_score":0.005560388,"about_ca_system_score_codex":0.00054128934,"about_ca_system_score_gemma":0.0006523038,"threshold_uncertainty_score":0.029406488},"labels":[],"label_agreement":null},{"id":"W4297783167","doi":"10.1007/978-3-030-91231-4_66","title":"Securities Transaction Taxes: Literature and Key Issues","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Inefficiency; Market liquidity; Database transaction; Enforcement; Key (lock); Volatility (finance); Business; Transfer pricing; Scope (computer science); Tax evasion; Security market; Accounting; Industrial organization; Monetary economics; Economics; Finance; Microeconomics; Public economics; Computer science; Computer security","score_opus":0.021002607561299555,"score_gpt":0.19295718451451513,"score_spread":0.1719545769532156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297783167","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050376356,0.6490005,0.009843159,0.048010044,0.0048276023,0.000035128603,0.0003722012,0.00008191859,0.2827918],"genre_scores_gemma":[0.17714126,0.64900595,0.0049689705,0.0078550605,0.019456727,0.0001235288,0.0005789979,0.00015972616,0.14070983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994623,0.00017150526,0.000031774274,0.000107873006,0.00017243532,0.000054160802],"domain_scores_gemma":[0.9981844,0.0011188193,0.00013532583,0.00012904756,0.0003604785,0.000072031165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009060726,0.00082208397,0.0010105926,0.0034767666,0.0013620484,0.0076574204,0.00103941,0.0036449996,0.014368891],"category_scores_gemma":[0.0028465197,0.00055009546,0.00036815996,0.008516218,0.004161904,0.008442908,0.0010275425,0.004586012,0.004062757],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009968627,0.000054746983,0.00012512231,0.00018758704,0.0000038065666,0.000043204884,0.000103311446,0.00037252097,0.00006601537,0.90298694,0.052254267,0.043792505],"study_design_scores_gemma":[0.0000064781475,0.000010748078,0.0005775802,0.0009663069,0.0000074721115,0.0002688032,0.00020779486,0.0006488489,0.00013086224,0.75299394,0.24416971,0.000011377942],"about_ca_topic_score_codex":0.0020832028,"about_ca_topic_score_gemma":0.002292604,"teacher_disagreement_score":0.014368891,"about_ca_system_score_codex":0.0033475778,"about_ca_system_score_gemma":0.00219885,"threshold_uncertainty_score":0.048068702},"labels":[],"label_agreement":null},{"id":"W4297921740","doi":"10.2139/ssrn.4213970","title":"Heterogeneous Awareness in Financial Markets","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Business; Finance; Financial market; Financial system; Economics","score_opus":0.01516358391718856,"score_gpt":0.2079412192807939,"score_spread":0.19277763536360534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297921740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9048585,0.00072663464,0.02904975,0.0042229653,0.00006500764,0.000025650417,0.00011506513,0.00009474554,0.060841575],"genre_scores_gemma":[0.9986823,0.000066289205,0.00039929288,0.000058311307,0.000043645006,0.0000044106087,0.000013678793,0.0000050675635,0.00072690076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990381,0.00036335076,0.00003858752,0.00022674754,0.00016081739,0.00017243135],"domain_scores_gemma":[0.98090404,0.013677124,0.002002127,0.0015957957,0.0007281576,0.0010927663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020430973,0.00020930855,0.0006254903,0.0011368126,0.00077974494,0.0041882675,0.000458755,0.0016452906,0.007132064],"category_scores_gemma":[0.021864872,0.0004521671,0.00033696197,0.0007538979,0.002062826,0.008266706,0.0019159985,0.0019032031,0.0004172388],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032282888,0.00024509177,0.019981228,0.00009900016,0.00008923811,0.0004629087,0.0021726408,0.008683657,0.0019013422,0.9264672,0.0026884314,0.03688653],"study_design_scores_gemma":[0.00003813582,0.00005664863,0.012062548,0.00001625205,0.000049234175,0.00022780162,0.0007652238,0.022827365,0.00043514965,0.96194744,0.0015503286,0.0000237468],"about_ca_topic_score_codex":0.0005774923,"about_ca_topic_score_gemma":0.00025487662,"teacher_disagreement_score":0.007132064,"about_ca_system_score_codex":0.0006070154,"about_ca_system_score_gemma":0.00033096358,"threshold_uncertainty_score":0.023859084},"labels":[],"label_agreement":null},{"id":"W4299616859","doi":"10.2139/ssrn.1319596","title":"Investment, Idiosyncratic Risk, and Ownership","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Kellogg's (Canada)","funders":"","keywords":"Shareholder; Systematic risk; Risk aversion (psychology); Incentive; Business; Investment (military); Microeconomics; Investment decisions; Perspective (graphical); Institutional investor; Monetary economics; Finance; Economics; Financial economics; Corporate governance; Expected utility hypothesis; Behavioral economics","score_opus":0.015728620464209805,"score_gpt":0.2025064509471343,"score_spread":0.18677783048292448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299616859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872617,0.0016995249,0.0034825276,0.0011179646,0.000011929988,0.0000082593115,0.00010436135,0.000015595411,0.0062982687],"genre_scores_gemma":[0.9982621,0.00040053148,0.0001435757,0.000028261005,0.000020476022,0.0000026337718,0.000041289004,0.0000018302471,0.0010992927],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99977773,0.00008326523,0.000020333575,0.000031717234,0.000028486238,0.000058371425],"domain_scores_gemma":[0.9879524,0.007098107,0.0034671954,0.0004715077,0.00025092525,0.00075982296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013562203,0.00023510263,0.00035078707,0.000449212,0.00026171203,0.002123157,0.0002964889,0.0009239805,0.005688614],"category_scores_gemma":[0.009453192,0.00017967558,0.00024757232,0.0008308343,0.001125275,0.002330669,0.00083353283,0.0008662558,0.0002738613],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000555161,0.00038642294,0.8328612,0.00009686543,0.00031087705,0.00088612875,0.0005941972,0.025264077,0.00065378717,0.09968579,0.0018537893,0.036851652],"study_design_scores_gemma":[0.00008450255,0.00037537568,0.5680272,0.00009597628,0.00036119175,0.0011351608,0.0018012336,0.04349745,0.0005531134,0.38092703,0.0030826277,0.00005916464],"about_ca_topic_score_codex":0.0018104323,"about_ca_topic_score_gemma":0.0022545927,"teacher_disagreement_score":0.005688614,"about_ca_system_score_codex":0.0004914311,"about_ca_system_score_gemma":0.0003020246,"threshold_uncertainty_score":0.019030273},"labels":[],"label_agreement":null},{"id":"W4299916642","doi":"10.2139/ssrn.1525403","title":"Rational Price-Contingent Trading and Asset Price Dynamics","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Contrarian; Economics; Asset (computer security); Order (exchange); Financial economics; Algorithmic trading; Trading strategy; Microeconomics; Private information retrieval; Finance","score_opus":0.010250160157519048,"score_gpt":0.2002708042384426,"score_spread":0.19002064408092356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299916642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5638646,0.0025337525,0.38589025,0.0058470163,0.00026557015,0.00006187214,0.00033911882,0.00035134616,0.040846452],"genre_scores_gemma":[0.986245,0.0008891013,0.0058457735,0.000112954534,0.00014293287,0.000019901678,0.00010294342,0.000041533563,0.006599903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999252,0.00033987506,0.000035967678,0.00011383423,0.00015541764,0.00010285575],"domain_scores_gemma":[0.9880707,0.009103345,0.0013162318,0.00062864757,0.0004911288,0.0003898016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025501444,0.0007535768,0.0014157365,0.00071356306,0.0005566722,0.0035074279,0.001267877,0.0029686396,0.006101496],"category_scores_gemma":[0.019929446,0.0007090563,0.00086112175,0.0006806886,0.002520128,0.0069047827,0.0010501412,0.00210771,0.0004916302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081035345,0.000044544733,0.00126122,0.000048238257,0.000041345644,0.00027924616,0.00011759366,0.075678326,0.00066741375,0.9167066,0.00091326574,0.004161074],"study_design_scores_gemma":[0.000031815125,0.000011966453,0.0004009342,0.0000057119764,0.0000075114526,0.000078137266,0.000017258038,0.37527663,0.00007885508,0.6238089,0.00026985764,0.00001242718],"about_ca_topic_score_codex":0.0026986713,"about_ca_topic_score_gemma":0.0014673993,"teacher_disagreement_score":0.006101496,"about_ca_system_score_codex":0.0010707083,"about_ca_system_score_gemma":0.00066548283,"threshold_uncertainty_score":0.020411491},"labels":[],"label_agreement":null},{"id":"W4300544218","doi":"10.5281/zenodo.58938","title":"Arbitrage Pricing Model In Relation To Efficient Market Hypotheses","year":2016,"lang":"en","type":"article","venue":"INFM-OAR (INFN Catania)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Arbitrage; Economics; Financial economics; Relation (database); Arbitrage pricing theory; Econometrics; Index arbitrage; Capital asset pricing model; Risk arbitrage; Computer science","score_opus":0.034699352122439124,"score_gpt":0.2138139889443962,"score_spread":0.17911463682195708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300544218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.565462,0.0008471399,0.4010635,0.0034483285,0.00015227047,0.00026952388,0.00030777408,0.00032073012,0.028128674],"genre_scores_gemma":[0.982335,0.0002730676,0.010088606,0.00010421298,0.000119500604,0.00013189808,0.00015452511,0.000036999936,0.0067562675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974721,0.0011813972,0.00012730574,0.00040812267,0.0003887669,0.00042231168],"domain_scores_gemma":[0.9841569,0.011606717,0.001996488,0.0006785043,0.001095335,0.0004661113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007394669,0.00078205735,0.0016061715,0.0014667169,0.0006550196,0.0033351998,0.0017744682,0.0016754535,0.008844311],"category_scores_gemma":[0.029212404,0.0004638552,0.0015203521,0.00088164856,0.002392811,0.0037744825,0.0014777875,0.0019226912,0.0007623505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016493254,0.0002233926,0.012124138,0.00018655168,0.00017951505,0.0011421532,0.0007979775,0.2310476,0.0010961799,0.7362768,0.0022236588,0.014537038],"study_design_scores_gemma":[0.000040312305,0.000070325754,0.0018073892,0.00001541082,0.00003236267,0.00012078575,0.00006830731,0.8622051,0.0001539163,0.13503286,0.00043086673,0.00002232429],"about_ca_topic_score_codex":0.0019871907,"about_ca_topic_score_gemma":0.00070676516,"teacher_disagreement_score":0.008844311,"about_ca_system_score_codex":0.0008001717,"about_ca_system_score_gemma":0.0013152837,"threshold_uncertainty_score":0.039107203},"labels":[],"label_agreement":null},{"id":"W4301630855","doi":"10.2139/ssrn.2081913","title":"The Value Premium in a Large-Cross Section of Test Portfolios","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Capital asset pricing model; Econometrics; Value premium; Economics; Risk premium; Section (typography); Test (biology); Value (mathematics); Financial economics; Actuarial science; Computer science","score_opus":0.010894429593700482,"score_gpt":0.22305532469824588,"score_spread":0.2121608951045454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301630855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886147,0.0005051292,0.0073894253,0.0008805095,0.000025628224,0.000009715638,0.00020225304,0.00008014608,0.0022925825],"genre_scores_gemma":[0.9984785,0.00008425874,0.00027247163,0.000059446196,0.000041157193,0.000002091247,0.00012421429,0.0000089811465,0.00092894124],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999342,0.00021735133,0.000041684594,0.0001487777,0.000099654,0.00015045382],"domain_scores_gemma":[0.9640097,0.027679833,0.0040289853,0.0018805083,0.0009386562,0.001462408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053252047,0.00029279612,0.0008293004,0.001281906,0.0003375534,0.0021936398,0.0009336215,0.0018127485,0.0056575905],"category_scores_gemma":[0.0335996,0.00032601468,0.00041394166,0.0008721731,0.00090709195,0.0027094318,0.00093052443,0.0012241238,0.00045321402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012719262,0.00044109003,0.7821903,0.00014398429,0.0005840223,0.0027901714,0.0008618098,0.03571453,0.010863443,0.08955369,0.0070443996,0.06854064],"study_design_scores_gemma":[0.00012672212,0.00043208967,0.637765,0.00006908626,0.00038159697,0.0019853115,0.0009718648,0.20152542,0.0031622397,0.15162995,0.0018702551,0.00008044946],"about_ca_topic_score_codex":0.0017741827,"about_ca_topic_score_gemma":0.0019367612,"teacher_disagreement_score":0.0056575905,"about_ca_system_score_codex":0.00048504208,"about_ca_system_score_gemma":0.0002532708,"threshold_uncertainty_score":0.028162658},"labels":[],"label_agreement":null},{"id":"W4302842179","doi":"10.2139/ssrn.2023552","title":"Stock Return Predictability and Variance Risk Premia: Statistical Inference and International Evidence","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Foundation; Canadian Intensive Care Foundation; Danmarks Grundforskningsfond; National Science Foundation","keywords":"Predictability; Econometrics; Stock (firearms); Variance risk premium; Economics; Statistical inference; Risk premium; Inference; Financial economics; Statistics; Volatility (finance); Mathematics; Volatility risk premium; Computer science; Geography","score_opus":0.030235848447548043,"score_gpt":0.2573942739383275,"score_spread":0.22715842549077944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302842179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9536208,0.009690625,0.016458523,0.0036644777,0.00013434437,0.000025805242,0.00064697914,0.00011185174,0.015646635],"genre_scores_gemma":[0.9965689,0.0016893888,0.00071686873,0.0001156834,0.0002601839,0.0000048634483,0.0003323889,0.000020104466,0.00029165292],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789137,0.0007264089,0.00023911857,0.0004830505,0.0004846205,0.00017547206],"domain_scores_gemma":[0.8601525,0.10611081,0.018070707,0.011317137,0.003423173,0.0009257449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0101782195,0.00070924277,0.0010165529,0.0029707924,0.0005546501,0.0031954525,0.0011200316,0.001035995,0.006931115],"category_scores_gemma":[0.06861723,0.0004082729,0.0015885229,0.003553179,0.0040477486,0.0034495855,0.0013455766,0.0023963442,0.0007954858],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017514128,0.00030486245,0.83340883,0.00027413495,0.0031910732,0.0009295014,0.000824867,0.013915071,0.0011524276,0.043813158,0.0029886256,0.097445995],"study_design_scores_gemma":[0.0003111382,0.0005943463,0.7844572,0.00031345832,0.0026557853,0.0008654259,0.0008739554,0.047146484,0.0029191182,0.15567762,0.004042823,0.00014268562],"about_ca_topic_score_codex":0.0036086023,"about_ca_topic_score_gemma":0.0016385878,"teacher_disagreement_score":0.0101782195,"about_ca_system_score_codex":0.00043498364,"about_ca_system_score_gemma":0.0005703119,"threshold_uncertainty_score":0.05382824},"labels":[],"label_agreement":null},{"id":"W4304207555","doi":"10.3390/jrfm16030159","title":"Dissecting the Explanatory Power of ESG Features on Equity Returns by Sector, Capitalization, and Year with Interpretable Machine Learning","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Université Paris-Saclay; BNP Paribas Cardif","keywords":"Equity (law); Explanatory power; Econometrics; Market capitalization; Capitalization; Benchmark (surveying); Gradient boosting; Economics; Corporate governance; Financial economics; Predictive power; Boosting (machine learning); Business; Computer science; Random forest; Machine learning; Finance; Stock market","score_opus":0.009812140842958403,"score_gpt":0.20261132818095476,"score_spread":0.19279918733799636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304207555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898492,0.00017815667,0.007864732,0.00034285398,0.000018036979,0.000009937302,0.00042480833,0.00006920152,0.0012429996],"genre_scores_gemma":[0.99835014,0.000029293325,0.00087529724,0.000022558825,0.000022197988,0.000004000192,0.0005272562,0.000010294099,0.00015890373],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989755,0.00045067706,0.00006507614,0.00017393584,0.00018075672,0.0001540879],"domain_scores_gemma":[0.98001856,0.014790902,0.002206658,0.0018163449,0.0007243801,0.0004432806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056123696,0.00079375063,0.00046543995,0.002549327,0.0002721821,0.0017134553,0.00062752323,0.00079498714,0.0027559784],"category_scores_gemma":[0.017437598,0.00011305323,0.0008105762,0.0016662326,0.0008502278,0.0014982468,0.0009852692,0.001110056,0.00047174396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037874776,0.00033810388,0.8432808,0.00007640801,0.00052094087,0.0004508348,0.00030832144,0.083470486,0.002292912,0.007961419,0.0020156757,0.058905397],"study_design_scores_gemma":[0.0000530368,0.00028830534,0.5548063,0.00006830398,0.0001705361,0.00013119724,0.00037693462,0.41638306,0.0032322125,0.022639507,0.001799144,0.000051525767],"about_ca_topic_score_codex":0.0021095653,"about_ca_topic_score_gemma":0.0015826176,"teacher_disagreement_score":0.0056123696,"about_ca_system_score_codex":0.000322637,"about_ca_system_score_gemma":0.00031931954,"threshold_uncertainty_score":0.029681444},"labels":[],"label_agreement":null},{"id":"W4304588796","doi":"10.3390/jrfm15100455","title":"Information Spillovers Prior to M&amp;A Announcements","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Proxy (statistics); Volatility (finance); Business; Stock (firearms); Monetary economics; Financial economics; Economics; Finance","score_opus":0.014624312268556162,"score_gpt":0.20090380454174425,"score_spread":0.1862794922731881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304588796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908958,0.0003972998,0.0011544499,0.00025882048,0.000013296617,0.000024620125,0.000259565,0.000022891212,0.006973138],"genre_scores_gemma":[0.9982968,0.00016466365,0.0001955105,0.000037340917,0.00003488552,0.000006066254,0.00020444606,0.000002043858,0.0010582425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995447,0.000056666056,0.00003716343,0.00009474785,0.00015305367,0.00011367627],"domain_scores_gemma":[0.9883449,0.005312821,0.004708544,0.00043085404,0.0005762424,0.0006266065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007748381,0.00020907338,0.00039570982,0.00083698233,0.00037851193,0.0014999927,0.00025954944,0.00067921216,0.005650652],"category_scores_gemma":[0.010500297,0.00019983751,0.0002844851,0.0006445972,0.00032344236,0.0015450859,0.0008049127,0.00093774963,0.0006536153],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016297876,0.0010056469,0.8808777,0.00026705122,0.0002461996,0.0030601532,0.0028330416,0.009490927,0.013078706,0.012069795,0.0017760333,0.07366498],"study_design_scores_gemma":[0.000023277451,0.00041175913,0.98352295,0.00004752754,0.00012645047,0.000382998,0.0015316992,0.0052079214,0.0031092134,0.0029646952,0.0026290442,0.00004252856],"about_ca_topic_score_codex":0.0061987597,"about_ca_topic_score_gemma":0.006604021,"teacher_disagreement_score":0.0061987597,"about_ca_system_score_codex":0.00053657143,"about_ca_system_score_gemma":0.00045497488,"threshold_uncertainty_score":0.018903255},"labels":[],"label_agreement":null},{"id":"W4304815947","doi":"10.54691/bcpbm.v26i.2050","title":"To what extent would an investment portfolio be affected by different variables in terms of Markowitz and Index model?","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Portfolio; Portfolio optimization; Efficient frontier; Diversification (marketing strategy); Post-modern portfolio theory; Economics; Index (typography); Econometrics; Modern portfolio theory; Rate of return on a portfolio; Black–Litterman model; Stock market index; Portfolio insurance; Stock market; Stock exchange; Financial economics; Replicating portfolio; Computer science; Business; Finance","score_opus":0.021541952937847938,"score_gpt":0.20791228128429518,"score_spread":0.18637032834644723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304815947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84465164,0.0012851509,0.12821499,0.0023281719,0.00014587617,0.00008778765,0.0002580599,0.00026535068,0.02276297],"genre_scores_gemma":[0.99516594,0.00024571654,0.002942253,0.00013324119,0.000030682873,0.000017442475,0.00007243583,0.000012529038,0.001379662],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847895,0.00052689423,0.00006326183,0.00034290925,0.0003085043,0.0002795812],"domain_scores_gemma":[0.99637395,0.0014023912,0.001136496,0.00046038057,0.0004529153,0.00017391225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026006892,0.00073442765,0.00065973843,0.00076424866,0.00031980276,0.0022515205,0.0007813106,0.0014450798,0.002431993],"category_scores_gemma":[0.012719743,0.00024581907,0.0008049871,0.0006814214,0.00095440424,0.004050795,0.00071061484,0.0006555758,0.0004195653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012784207,0.0004596551,0.1890081,0.00038991004,0.00084674306,0.0020798554,0.00063487806,0.44941488,0.023834419,0.20233029,0.0038537297,0.12586923],"study_design_scores_gemma":[0.00011828345,0.000881917,0.090924226,0.00005246905,0.00037311163,0.0010433518,0.000424777,0.7183286,0.011965048,0.17222047,0.003524358,0.00014346695],"about_ca_topic_score_codex":0.0015567999,"about_ca_topic_score_gemma":0.00063543196,"teacher_disagreement_score":0.0026006892,"about_ca_system_score_codex":0.0010261333,"about_ca_system_score_gemma":0.00046084722,"threshold_uncertainty_score":0.013753891},"labels":[],"label_agreement":null},{"id":"W4304845682","doi":"10.1017/s0022109022001077","title":"When Bigger is Better: The Impact of a Tiny Tick Size on Undercutting Behavior","year":2022,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Tick size; Market liquidity; Volatility (finance); Tick; Equity (law); Transaction cost; Monetary economics; Economics; Business; Econometrics; Microeconomics; Ecology; Biology","score_opus":0.04769852426428429,"score_gpt":0.2838386869119496,"score_spread":0.2361401626476653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304845682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99567384,0.00009628961,0.0010722631,0.00023195054,0.00001082176,0.000008283179,0.000044402695,0.000015950372,0.0028462086],"genre_scores_gemma":[0.9995327,0.000014501569,0.00021891779,0.000032598175,0.0000041658386,0.000002628943,0.000013032302,0.000004077697,0.0001773442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925,0.00035340097,0.000042011266,0.00008226396,0.00012514123,0.00014700997],"domain_scores_gemma":[0.9709962,0.019588068,0.0050228825,0.0013969647,0.0008485189,0.0021472087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019580594,0.00023649879,0.00034192586,0.00040309152,0.0003789824,0.0014872157,0.00037066583,0.0005198995,0.008280322],"category_scores_gemma":[0.025663387,0.00013251271,0.00018024907,0.0002686923,0.00084852654,0.0011137935,0.00061983336,0.0012245995,0.0002805681],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013036936,0.004833124,0.5909624,0.00050997874,0.00053755334,0.0016348199,0.0015062764,0.08462626,0.07220438,0.06550618,0.0068792724,0.15776284],"study_design_scores_gemma":[0.0005358678,0.005383617,0.607531,0.00013934041,0.0005480365,0.0007708149,0.004727083,0.23690276,0.02103019,0.11824482,0.003954258,0.00023232316],"about_ca_topic_score_codex":0.0020833623,"about_ca_topic_score_gemma":0.0021134848,"teacher_disagreement_score":0.008280322,"about_ca_system_score_codex":0.00047245636,"about_ca_system_score_gemma":0.00037049237,"threshold_uncertainty_score":0.027700365},"labels":[],"label_agreement":null},{"id":"W4306151951","doi":"10.3390/jrfm15100460","title":"Factor-Based Investing in Market Cycles: Fama–French Five-Factor Model of Market Interest Rate and Market Sentiment","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Value premium; Interest rate; Econometrics; Capital asset pricing model; Financial economics; Stock market; Stock (firearms); Factor analysis; Explanatory power; Value (mathematics); Leverage (statistics); Monetary economics; Mathematics","score_opus":0.029173466658893275,"score_gpt":0.21183082763084154,"score_spread":0.18265736097194826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306151951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7266373,0.001877913,0.25361243,0.0016033639,0.00009138145,0.00009546466,0.00049782667,0.00024099971,0.015343292],"genre_scores_gemma":[0.9916841,0.0005178011,0.004179482,0.00005457183,0.000035609453,0.000021452866,0.00012685983,0.000015653919,0.0033644305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996463,0.00012417338,0.000014165157,0.00008724284,0.000048297057,0.000079783145],"domain_scores_gemma":[0.9989309,0.00038792356,0.00035940672,0.00008020803,0.00014047135,0.00010112032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013005176,0.0007839268,0.0006877682,0.0007134305,0.00029469738,0.0018289115,0.0007917273,0.001341885,0.002012089],"category_scores_gemma":[0.004960849,0.00034567856,0.0011318799,0.0006729407,0.0006888972,0.0015882576,0.00041595942,0.0008126515,0.00043734527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028519533,0.000100246834,0.04209237,0.00008119475,0.00022751834,0.0006909097,0.0003261299,0.72604764,0.0023035551,0.196842,0.002551462,0.028451674],"study_design_scores_gemma":[0.000023978779,0.000058032998,0.0064968895,0.000013282674,0.00004567716,0.000087768385,0.000037433027,0.9580964,0.00013138066,0.034141988,0.0008420122,0.00002509379],"about_ca_topic_score_codex":0.017739989,"about_ca_topic_score_gemma":0.006705413,"teacher_disagreement_score":0.017739989,"about_ca_system_score_codex":0.0009624628,"about_ca_system_score_gemma":0.000615481,"threshold_uncertainty_score":0.035273433},"labels":[],"label_agreement":null},{"id":"W4306391412","doi":"10.3390/jrfm15100462","title":"Do the Underlying Portfolios Matter? A Comparative Study of Equity-Linked Pay-at-Maturity Principal Protected Notes in Canada and the UK","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Portfolio; Rate of return on a portfolio; Economics; Financial economics; Callable bond; Maturity (psychological); Equity (law); Volatility (finance); Stochastic game; Dividend yield; Actuarial science; Dividend; Expected return; Modern portfolio theory; Econometrics; Monetary economics; Microeconomics; Finance; Interest rate; Dividend policy","score_opus":0.04274080428205106,"score_gpt":0.24937178715735087,"score_spread":0.2066309828752998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306391412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98660177,0.00158846,0.00014969686,0.00087804865,0.000016044078,0.000018144605,0.0012850425,0.0000071801464,0.009455622],"genre_scores_gemma":[0.9963414,0.0009388179,0.00008226642,0.00009107521,0.0000046629416,0.000002444028,0.0005675652,0.000005060721,0.0019667246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874395,0.00008067828,0.00006429878,0.00010803681,0.0005602191,0.00044295046],"domain_scores_gemma":[0.9942028,0.0007157197,0.0012563482,0.00016591445,0.0026911437,0.0009681365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084179407,0.00022129124,0.00038974054,0.0014389813,0.0018182426,0.0028030921,0.00071096845,0.00043463713,0.0026168446],"category_scores_gemma":[0.0075827762,0.00021736094,0.0003991387,0.0039590253,0.0009082032,0.00085725106,0.0008138732,0.0006281952,0.00021216313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053322216,0.00007206371,0.9297154,0.00016515428,0.00018059595,0.0012575573,0.0050532604,0.0022639532,0.0010532165,0.0077221855,0.005205863,0.046777617],"study_design_scores_gemma":[0.000012516553,0.000039192026,0.9838567,0.000100611076,0.000057593334,0.00014144811,0.006216377,0.00092644454,0.00031301324,0.0001502811,0.008146655,0.000039289323],"about_ca_topic_score_codex":0.9919476,"about_ca_topic_score_gemma":0.99541193,"teacher_disagreement_score":0.03557002,"about_ca_system_score_codex":0.03557002,"about_ca_system_score_gemma":0.02705519,"threshold_uncertainty_score":0.25807983},"labels":[],"label_agreement":null},{"id":"W4306722666","doi":"10.1002/cfp2.1151","title":"Measuring the gap between elicited and revealed risk for investors: An empirical study","year":2022,"lang":"en","type":"article","venue":"Financial Planning Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; Wilfrid Laurier University; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"Mitacs; Fields Institute for Research in Mathematical Sciences","keywords":"Portfolio; Categorization; Actuarial science; Business; Financial risk; Quality (philosophy); Specific risk; Preference; Finance; Financial risk management; Risk management; Asset allocation; Financial services; Economics; Computer science","score_opus":0.178783622851158,"score_gpt":0.3170280652038723,"score_spread":0.13824444235271427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306722666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960329,0.00028476096,0.0012166249,0.00010836917,0.000004319638,0.000074387266,0.0006850668,0.000011284661,0.0015823698],"genre_scores_gemma":[0.9965209,0.00016422171,0.0018313979,0.00005153622,0.000009281612,0.000076900644,0.00096516346,0.0000045063157,0.00037606325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9897822,0.005097452,0.00088497985,0.0009407889,0.0029120652,0.00038262442],"domain_scores_gemma":[0.8287183,0.12272982,0.02912854,0.0059989365,0.011692742,0.0017317384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014264873,0.00023949359,0.00040334003,0.001849284,0.0005886315,0.0020906138,0.00088463334,0.00093146425,0.0013701486],"category_scores_gemma":[0.09018986,0.00021798129,0.00030047135,0.0029160995,0.00074737746,0.0014423288,0.0010291198,0.0011113744,0.0003501776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043696476,0.00083030976,0.9523873,0.00029470184,0.00019148177,0.00016865316,0.004818263,0.001669937,0.00073040824,0.0011856984,0.0019095688,0.03537674],"study_design_scores_gemma":[0.000042518684,0.0002922059,0.9825569,0.000121009696,0.00006635756,0.00014074086,0.004524209,0.0071559153,0.0009710451,0.00066542136,0.0034204628,0.000043130796],"about_ca_topic_score_codex":0.023043066,"about_ca_topic_score_gemma":0.029075602,"teacher_disagreement_score":0.023043066,"about_ca_system_score_codex":0.0019933719,"about_ca_system_score_gemma":0.0011106991,"threshold_uncertainty_score":0.075440705},"labels":[],"label_agreement":null},{"id":"W4306764954","doi":"10.3390/jrfm15100473","title":"The Methodology Matters: What Influences Market Reaction, and Post-Issue Returns in Seasoned Equity Offerings?","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Regression analysis; Equity (law); Economics; Principal component analysis; Profitability index; Regression; Stock (firearms); Linear regression; Cross-sectional regression; Multivariate statistics; Stock market; Bayesian multivariate linear regression; Statistics; Financial economics; Mathematics; Finance; Geography","score_opus":0.03081395156638172,"score_gpt":0.2519681655934796,"score_spread":0.2211542140270979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306764954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925512,0.001063535,0.0025596884,0.0012141208,0.00012655598,0.000062646584,0.00079572253,0.000030066132,0.0015965491],"genre_scores_gemma":[0.9960897,0.00031194082,0.0011092086,0.00035784286,0.00029316818,0.000042719446,0.00081080303,0.0000385895,0.000946132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944939,0.0029262304,0.0005267393,0.0008072006,0.00074076175,0.0005052132],"domain_scores_gemma":[0.89953005,0.057671282,0.035038415,0.0034239,0.0022541522,0.0020822461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019681757,0.00028583198,0.0005486335,0.00087088754,0.00031770772,0.002017628,0.00073306443,0.0010757692,0.0025998682],"category_scores_gemma":[0.056903448,0.00023223844,0.0010796177,0.0015764545,0.0006652409,0.0015186114,0.0004937657,0.0010581869,0.00070051814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023512455,0.00014080046,0.9900225,0.000033467735,0.00021438349,0.00006544047,0.00019732366,0.00029356146,0.000392599,0.00016703927,0.00066802296,0.0075697857],"study_design_scores_gemma":[0.000013337444,0.0001494097,0.99692106,0.000018476247,0.00009214929,0.000052532636,0.00017847822,0.0013937777,0.00027925015,0.00017894845,0.00071368617,0.00000900366],"about_ca_topic_score_codex":0.008947696,"about_ca_topic_score_gemma":0.010966831,"teacher_disagreement_score":0.019681757,"about_ca_system_score_codex":0.0004733943,"about_ca_system_score_gemma":0.0010878464,"threshold_uncertainty_score":0.10408831},"labels":[],"label_agreement":null},{"id":"W4306938121","doi":"10.3390/jrfm15100479","title":"Idiosyncratic Risk Volatility: Stock Price Informativeness or Price Error?","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Market liquidity; Information asymmetry; Systematic risk; Economics; Econometrics; Stock exchange; Financial economics; Stock (firearms); Monetary economics; Finance","score_opus":0.019844658266170396,"score_gpt":0.21336877432754764,"score_spread":0.19352411606137723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306938121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98136353,0.0027538703,0.00696317,0.0011738276,0.000033254433,0.000024462592,0.000273947,0.000014380171,0.0073995646],"genre_scores_gemma":[0.9989729,0.00048803186,0.00027676774,0.000044592838,0.000037261303,0.0000034929974,0.000051600346,0.0000014463078,0.0001239755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989237,0.00030331034,0.00015852053,0.00017154122,0.00033430004,0.00010864607],"domain_scores_gemma":[0.9854343,0.006075822,0.0068294676,0.0007838496,0.00058683887,0.00028963824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017582473,0.00023354811,0.0004639967,0.0014688141,0.00019036884,0.0020134153,0.0002635339,0.00049110636,0.0012168788],"category_scores_gemma":[0.012087043,0.00014999966,0.00035678077,0.002007285,0.0010274583,0.0022323222,0.00081703195,0.00076934975,0.00011435583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010769385,0.000055449153,0.94134754,0.00014287977,0.00025537255,0.0004384685,0.001166465,0.0023328296,0.0005231461,0.009096978,0.00032797927,0.044205118],"study_design_scores_gemma":[0.000010628171,0.00010882811,0.9602859,0.00019565331,0.00017272818,0.00079343497,0.001958544,0.009121583,0.00091349497,0.024667164,0.001730265,0.000041667325],"about_ca_topic_score_codex":0.00096519344,"about_ca_topic_score_gemma":0.0009094515,"teacher_disagreement_score":0.0020134153,"about_ca_system_score_codex":0.00036586964,"about_ca_system_score_gemma":0.00035821958,"threshold_uncertainty_score":0.009298623},"labels":[],"label_agreement":null},{"id":"W4306990494","doi":"10.3905/jbis.2022.1.018","title":"Long-Only Value Investing: Does Size Matter?","year":2022,"lang":"en","type":"article","venue":"The Journal of Beta Investment Strategies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Value premium; Market liquidity; Value (mathematics); Growth stock; Economics; Econometrics; Financial economics; Mathematics; Monetary economics; Capital asset pricing model; Statistics; Stock market; Geography; Market maker","score_opus":0.02369638028212733,"score_gpt":0.2201186053973383,"score_spread":0.19642222511521096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306990494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90548855,0.008139792,0.0033660417,0.024900435,0.000405324,0.000048030815,0.0006077785,0.000051836116,0.05699224],"genre_scores_gemma":[0.9960295,0.0006412026,0.00021626696,0.0007490787,0.00020925679,0.0000060930397,0.0001143673,0.000024104183,0.002010204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943966,0.0002005081,0.00004205982,0.00008906051,0.00014015607,0.00008859788],"domain_scores_gemma":[0.9839533,0.008147054,0.003872915,0.00045905146,0.0008350518,0.002732673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019676846,0.00020524983,0.00033201752,0.0003580084,0.00026922207,0.0019686578,0.00058554916,0.00068401685,0.009495889],"category_scores_gemma":[0.016372688,0.00008869331,0.00028137068,0.00045550082,0.0010403607,0.0033124858,0.0006852494,0.00080450514,0.0009438459],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014582489,0.00034948945,0.80612814,0.0002507658,0.00059383345,0.0006127294,0.0008572844,0.0010140848,0.0028519453,0.022552952,0.012340865,0.15098964],"study_design_scores_gemma":[0.00013719915,0.0006539182,0.92650443,0.00032043704,0.0003596183,0.00054446456,0.002031036,0.0017527953,0.0015526084,0.05121984,0.014886949,0.000036735502],"about_ca_topic_score_codex":0.0016313469,"about_ca_topic_score_gemma":0.0023015607,"teacher_disagreement_score":0.009495889,"about_ca_system_score_codex":0.00040504523,"about_ca_system_score_gemma":0.00069890945,"threshold_uncertainty_score":0.03176689},"labels":[],"label_agreement":null},{"id":"W4307243825","doi":"10.1111/fire.12324","title":"Who uses robo‐advising and how?","year":2022,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Volatility (finance); Business; Investment (military); Plan (archaeology); Finance; Geography; Political science","score_opus":0.042874714619534744,"score_gpt":0.22723927243571795,"score_spread":0.18436455781618322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307243825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94592965,0.014480481,0.00038473276,0.008391151,0.000120929355,0.000035302128,0.0013522634,0.000020742566,0.029284785],"genre_scores_gemma":[0.9850637,0.010003624,0.00023579883,0.0007041667,0.00010399007,0.000011958954,0.00038870203,0.000008312199,0.0034797664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927646,0.00025924394,0.000058186797,0.00006577959,0.00017340401,0.00016694111],"domain_scores_gemma":[0.9948255,0.0015769684,0.0021704803,0.000097744705,0.00047106663,0.0008582684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010587228,0.00008837292,0.0002568832,0.00089907716,0.00034037774,0.0017021657,0.00051873864,0.0003952448,0.005960919],"category_scores_gemma":[0.008043286,0.00008822708,0.00019646756,0.0013597588,0.0002890531,0.0012184381,0.00025164487,0.00052575924,0.0010880459],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001365654,0.00021913643,0.771449,0.00034560324,0.00008526377,0.0005027493,0.0015515778,0.00014568858,0.00017890256,0.0010568653,0.0125229275,0.21180567],"study_design_scores_gemma":[0.000015160907,0.00013649947,0.9310001,0.0008475545,0.00015895035,0.002493446,0.013255613,0.0009013038,0.0003570627,0.00079739303,0.05000173,0.000035137797],"about_ca_topic_score_codex":0.024516672,"about_ca_topic_score_gemma":0.03632397,"teacher_disagreement_score":0.024516672,"about_ca_system_score_codex":0.00045318267,"about_ca_system_score_gemma":0.0008569958,"threshold_uncertainty_score":0.048747957},"labels":[],"label_agreement":null},{"id":"W4307560082","doi":"10.1287/mnsc.2022.4565","title":"Correlated Cashflow Shocks, Asset Prices, and the Term Structure of Equity","year":2022,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Equity (law); Cash flow; Economics; Econometrics; Yield curve; Shock (circulatory); Dividend; Capital asset pricing model; Financial economics; Equity premium puzzle; Term (time); Monetary economics; Finance; Bond","score_opus":0.019236455537107067,"score_gpt":0.22235758472154946,"score_spread":0.2031211291844424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307560082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928578,0.00016673014,0.002713918,0.00046091306,0.0000102329395,0.000008906689,0.0006662814,0.000043204727,0.003072077],"genre_scores_gemma":[0.9987006,0.00007798594,0.00021039404,0.000017478002,0.0000074509253,0.0000025010845,0.0003700875,0.000006541669,0.0006068338],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998548,0.00003088285,0.000009977728,0.00003010072,0.000038608054,0.00003553889],"domain_scores_gemma":[0.9971023,0.0013064716,0.001033208,0.00015210519,0.00015571478,0.0002501876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078202534,0.00020849529,0.00023254863,0.00051466486,0.00016670252,0.0016569226,0.00023241322,0.00061335234,0.003938601],"category_scores_gemma":[0.007946741,0.00021154562,0.00020887831,0.0007072257,0.00034496514,0.0009016667,0.00044067617,0.00067302206,0.00035277038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007259745,0.00026688282,0.7926146,0.00008475789,0.00024254277,0.0007200633,0.0002945192,0.111401014,0.005056397,0.049328923,0.0059877653,0.033276673],"study_design_scores_gemma":[0.000037799433,0.000104466366,0.79360986,0.000030207351,0.00008006285,0.00017486783,0.00015824877,0.15103573,0.0013118997,0.052158155,0.001250502,0.00004813752],"about_ca_topic_score_codex":0.0064156647,"about_ca_topic_score_gemma":0.0076459823,"teacher_disagreement_score":0.0064156647,"about_ca_system_score_codex":0.0008604554,"about_ca_system_score_gemma":0.0005863752,"threshold_uncertainty_score":0.013175964},"labels":[],"label_agreement":null},{"id":"W4307641163","doi":"10.1111/fima.12411","title":"Do investors affect financial analysts’ behavior? Evidence from short sellers","year":2022,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Affect (linguistics); Earnings; Quality (philosophy); Business; Finance; Monetary economics; Economics","score_opus":0.05488824365829716,"score_gpt":0.2398550625627955,"score_spread":0.18496681890449834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307641163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99679166,0.00009888297,0.0006319041,0.00034467236,0.00001899538,0.000019930962,0.000062621395,0.000009048808,0.0020221542],"genre_scores_gemma":[0.9986811,0.00005496353,0.00041176443,0.00014584145,0.000021915315,0.000019857192,0.00003723231,0.0000042399047,0.0006231669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861765,0.0007685258,0.00010202828,0.00017070529,0.00027127948,0.00006979776],"domain_scores_gemma":[0.92208403,0.05093664,0.020023927,0.0036458536,0.0014723039,0.0018372461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004140481,0.00021590207,0.00041045024,0.00026018993,0.0003005636,0.0012080232,0.00024398121,0.0010500497,0.0043622227],"category_scores_gemma":[0.037291862,0.00027209937,0.0001867993,0.00014959955,0.00045539837,0.0010261548,0.00048650854,0.00090641977,0.00037688698],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014302118,0.007007765,0.8439189,0.00034268235,0.0006404598,0.00064700615,0.003665054,0.0063871685,0.040289316,0.0060058315,0.0032812406,0.07351239],"study_design_scores_gemma":[0.0015719584,0.00854028,0.9194649,0.00007635887,0.00035516926,0.000354599,0.0026123263,0.029269625,0.016270384,0.014680694,0.0066364706,0.00016735589],"about_ca_topic_score_codex":0.000817248,"about_ca_topic_score_gemma":0.0009922278,"teacher_disagreement_score":0.0043622227,"about_ca_system_score_codex":0.00025898262,"about_ca_system_score_gemma":0.00021110999,"threshold_uncertainty_score":0.021897197},"labels":[],"label_agreement":null},{"id":"W4307897777","doi":"10.1016/j.qref.2022.10.006","title":"Trading strategies and the frequency of time-series","year":2022,"lang":"en","type":"article","venue":"The Quarterly Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Stock (firearms); Economics; Econometrics; Sharpe ratio; Standard deviation; Stock price; Financial economics; Series (stratigraphy); Mathematics; Statistics; Portfolio","score_opus":0.01827600714015744,"score_gpt":0.20122804937207625,"score_spread":0.1829520422319188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307897777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75504094,0.071238,0.12786321,0.009028644,0.0011319026,0.00003500667,0.0023064148,0.00037500588,0.032980885],"genre_scores_gemma":[0.9843903,0.008194611,0.0036340817,0.0002349761,0.0009488421,0.000016123238,0.0005064559,0.000045985184,0.0020286462],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990085,0.00032137978,0.00009552032,0.00023588179,0.0002714053,0.00006740812],"domain_scores_gemma":[0.97026753,0.023287589,0.0037704988,0.0014329957,0.00093344995,0.0003080814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022992208,0.00028702887,0.0004773021,0.002661062,0.00026332392,0.002862782,0.00065607764,0.0015248989,0.0032583338],"category_scores_gemma":[0.0325966,0.00029315337,0.00032114066,0.0037955118,0.0009204508,0.004173273,0.0007138501,0.0011512515,0.00065068225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048907934,0.00022209912,0.30587298,0.00072644185,0.0011350297,0.0011079778,0.0015304318,0.042199273,0.0078023346,0.28546622,0.01054477,0.34290335],"study_design_scores_gemma":[0.000045336536,0.0001246652,0.33488,0.0003411687,0.0002514205,0.0024561968,0.0007888613,0.094410606,0.0013504697,0.53808606,0.027133083,0.0001322024],"about_ca_topic_score_codex":0.00078851084,"about_ca_topic_score_gemma":0.00072297384,"teacher_disagreement_score":0.0032583338,"about_ca_system_score_codex":0.00043728895,"about_ca_system_score_gemma":0.00016232154,"threshold_uncertainty_score":0.012159586},"labels":[],"label_agreement":null},{"id":"W4308516714","doi":"10.3390/jrfm15110520","title":"Time Dependence of CAPM Betas on the Choice of Interval Frequency and Return Timeframes: Is There an Optimum?","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Econometrics; Systematic risk; BETA (programming language); Expected return; Interval (graph theory); Economics; Statistics; Mathematics; Financial economics; Computer science; Portfolio","score_opus":0.01950715007508427,"score_gpt":0.21379462693505136,"score_spread":0.19428747685996708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308516714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6964696,0.0023743978,0.28867042,0.0018632793,0.00010715378,0.000110603396,0.0005776182,0.00062170264,0.009205158],"genre_scores_gemma":[0.968629,0.0005398257,0.029395543,0.00023636487,0.000074858544,0.000061809355,0.000417531,0.00010898316,0.0005361427],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968201,0.001509069,0.00020936578,0.00065703364,0.0004723657,0.00033208987],"domain_scores_gemma":[0.8935911,0.085697584,0.009253559,0.00712825,0.0032786056,0.0010509016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021441774,0.0007380258,0.0011404364,0.0012270678,0.000366595,0.0024592176,0.0009798873,0.001527931,0.0015049179],"category_scores_gemma":[0.117624305,0.0005553206,0.0007180205,0.0011860817,0.001005903,0.004085304,0.0008271545,0.0023145513,0.0007012215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014397703,0.00031176707,0.47885463,0.000400875,0.0004896895,0.0007663287,0.0012273467,0.19303812,0.008573301,0.031966824,0.0051114047,0.27782002],"study_design_scores_gemma":[0.00012452676,0.00075133785,0.23270057,0.00047479084,0.00029692176,0.0012981849,0.0007944751,0.70328325,0.0061844904,0.050925586,0.0029801978,0.00018571767],"about_ca_topic_score_codex":0.0015620905,"about_ca_topic_score_gemma":0.0015320043,"teacher_disagreement_score":0.021441774,"about_ca_system_score_codex":0.0004471528,"about_ca_system_score_gemma":0.00064450176,"threshold_uncertainty_score":0.11339629},"labels":[],"label_agreement":null},{"id":"W4308531300","doi":"10.3390/jrfm15110523","title":"Market Intraday Momentum with New Measures for Trading Cost: Evidence from KOSPI Index","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transaction cost; Momentum (technical analysis); Index (typography); Profitability index; Financial economics; Trading strategy; Economics; High-frequency trading; Database transaction; Monetary economics; Business; Algorithmic trading; Econometrics; Finance; Database; Computer science","score_opus":0.027323369365655055,"score_gpt":0.20719917923190173,"score_spread":0.17987580986624668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308531300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98728,0.002093258,0.0018433131,0.00030995868,0.000027307844,0.000023169237,0.001007216,0.00003264178,0.007383121],"genre_scores_gemma":[0.9973144,0.0005157034,0.0005872149,0.00002971942,0.000072293406,0.000009881955,0.0010902995,0.000012848307,0.00036757256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975587,0.00046595294,0.00038677218,0.0003622946,0.0011061492,0.00012017623],"domain_scores_gemma":[0.8617834,0.055789605,0.06511106,0.008656687,0.006570642,0.0020886105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004009686,0.00051895034,0.0005025592,0.0030941102,0.00029413798,0.0018538913,0.00083866756,0.0006982008,0.0026941835],"category_scores_gemma":[0.057840526,0.00024041605,0.00047414936,0.004746567,0.0010794202,0.0041530007,0.0013691084,0.0012172096,0.00068673864],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011140037,0.0002188676,0.9589161,0.00015965609,0.00035442135,0.00025950925,0.0003673838,0.0019734977,0.00078740617,0.0023933586,0.0009898149,0.03246597],"study_design_scores_gemma":[0.000037498256,0.0004409482,0.98581403,0.000054910208,0.00018095424,0.0004367584,0.00027207306,0.00768192,0.00081185973,0.0023613558,0.001865654,0.00004219755],"about_ca_topic_score_codex":0.0024876972,"about_ca_topic_score_gemma":0.0022404674,"teacher_disagreement_score":0.004009686,"about_ca_system_score_codex":0.00044289834,"about_ca_system_score_gemma":0.00029833792,"threshold_uncertainty_score":0.021205485},"labels":[],"label_agreement":null},{"id":"W4308531526","doi":"10.3390/jrfm15110512","title":"When Does Pairs Trading Outperform Cross-Sectional Momentum?","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sharpe ratio; Trading strategy; Momentum (technical analysis); Econometrics; Asset (computer security); Autocorrelation; Key (lock); Economics; Computer science; Financial economics; Statistics; Business; Mathematics; Computer security; Portfolio","score_opus":0.01810676229709283,"score_gpt":0.20785098682731643,"score_spread":0.1897442245302236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308531526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710178,0.0022116483,0.013580982,0.0013164644,0.00015626813,0.000057467827,0.00013448115,0.00012251889,0.011402355],"genre_scores_gemma":[0.9977919,0.00021713115,0.0012281659,0.0001236447,0.000055357956,0.000008200721,0.000046573412,0.00001715734,0.00051193207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976745,0.0006854215,0.0002850087,0.00046731014,0.0005824955,0.00030529208],"domain_scores_gemma":[0.9643668,0.023407966,0.007214181,0.0017566641,0.0015095635,0.0017448931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008326343,0.0007421428,0.0011970926,0.0010810323,0.00044204653,0.0035151911,0.0008014308,0.0019578768,0.0040022945],"category_scores_gemma":[0.05159545,0.0002870642,0.0004099188,0.00063977164,0.0012045945,0.005276897,0.0012882082,0.0010284891,0.0010115684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009646833,0.0009852677,0.44140726,0.0007950544,0.0020288704,0.002154505,0.001039427,0.059625514,0.018868942,0.0781199,0.004426271,0.3809021],"study_design_scores_gemma":[0.00072893366,0.012681023,0.2843635,0.00037398576,0.0012072218,0.0045208903,0.004072511,0.38635468,0.035089374,0.26113313,0.009032874,0.0004418576],"about_ca_topic_score_codex":0.0005264992,"about_ca_topic_score_gemma":0.0005455701,"teacher_disagreement_score":0.008326343,"about_ca_system_score_codex":0.00042493685,"about_ca_system_score_gemma":0.00049579603,"threshold_uncertainty_score":0.04403442},"labels":[],"label_agreement":null},{"id":"W4308884836","doi":"10.1093/rapstu/raac017","title":"The Geography of Subadvisors, Managerial Structure, and the Performance of International Equity Mutual Funds","year":2022,"lang":"en","type":"article","venue":"The Review of Asset Pricing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of New Brunswick","funders":"","keywords":"Equity (law); Business; Fund of funds; Mutual fund; Closed-end fund; Finance; Accounting; Political science","score_opus":0.028456793783884157,"score_gpt":0.271432245352783,"score_spread":0.24297545156889883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308884836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964994,0.00032863894,0.00016956375,0.00011762678,0.0000018127578,0.0000034172813,0.000058090594,0.000003671645,0.0028178112],"genre_scores_gemma":[0.99967146,0.00008201362,0.000030945048,0.0000043246814,0.0000054305665,7.9195667e-7,0.000026178499,8.157087e-7,0.0001780897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995105,0.00016448664,0.00005344669,0.00005466267,0.0001230289,0.00009374633],"domain_scores_gemma":[0.985327,0.0029269413,0.009818178,0.00030703715,0.0006674673,0.0009533822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097614335,0.00012452483,0.00026367488,0.0013863491,0.00025515282,0.001881894,0.00022740148,0.00037328535,0.003140502],"category_scores_gemma":[0.008464355,0.00007463675,0.00009964884,0.0017514811,0.00081629027,0.0011104192,0.0010723298,0.00022332776,0.00040606488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018025083,0.00006877733,0.97014546,0.000050698716,0.00007021094,0.00025133768,0.0012740284,0.0024028907,0.0012495719,0.005479468,0.00051793974,0.018309522],"study_design_scores_gemma":[0.000011327296,0.00010785738,0.99036133,0.000025059315,0.000028996936,0.0001466684,0.00205915,0.0012792932,0.00059931824,0.0038655282,0.0015037517,0.000011708405],"about_ca_topic_score_codex":0.0022749612,"about_ca_topic_score_gemma":0.0023383785,"teacher_disagreement_score":0.003140502,"about_ca_system_score_codex":0.00069357996,"about_ca_system_score_gemma":0.00023438485,"threshold_uncertainty_score":0.010506034},"labels":[],"label_agreement":null},{"id":"W4309044538","doi":"10.37256/aie.3220221722","title":"Multi-Timeframe Algorithmic Trading Bots Using Thick Data Heuristics with Deep Reinforcement Learning","year":2022,"lang":"en","type":"article","venue":"Artificial Intelligence Evolution","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Heuristics; Computer science; Reinforcement learning; Algorithmic trading; Trading strategy; Benchmark (surveying); Artificial intelligence; Heuristic; Order (exchange); Intuition; Machine learning; High-frequency trading; Econometrics; Economics; Financial economics; Finance","score_opus":0.1352135594923659,"score_gpt":0.28047845506007124,"score_spread":0.14526489556770533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309044538","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30422515,0.00044037178,0.6851466,0.0008172862,0.00012492404,0.00018471103,0.0001430398,0.002306007,0.0066119805],"genre_scores_gemma":[0.944129,0.00005299265,0.054133266,0.00017163643,0.000014142557,0.000052355248,0.00006201569,0.00003417589,0.0013503568],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954057,0.00014009753,0.000025907011,0.00011927503,0.0000901777,0.000083982915],"domain_scores_gemma":[0.99785525,0.00119708,0.00032561243,0.00026490793,0.00019400033,0.00016320706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014544431,0.0007659019,0.00067057926,0.00048963,0.0003690995,0.0009666686,0.0011967574,0.0009131286,0.0014397777],"category_scores_gemma":[0.0046306346,0.00043517465,0.00042861028,0.00029291643,0.0010191819,0.0015803379,0.0011954249,0.0014706049,0.00023992738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014827496,0.00019717864,0.0060863844,0.000055127275,0.000066476656,0.0000986824,0.00009976778,0.9165674,0.0024607347,0.0069394507,0.00071145647,0.0665691],"study_design_scores_gemma":[0.000008650177,0.00003402859,0.00014596242,0.000002565813,0.000003995575,0.000007570181,0.0000072691896,0.9964127,0.00034113316,0.0028802843,0.00015198665,0.0000038611975],"about_ca_topic_score_codex":0.005618859,"about_ca_topic_score_gemma":0.007435971,"teacher_disagreement_score":0.005618859,"about_ca_system_score_codex":0.0010475079,"about_ca_system_score_gemma":0.0014113615,"threshold_uncertainty_score":0.011172354},"labels":[],"label_agreement":null},{"id":"W4309176734","doi":"10.3390/jrfm15110534","title":"The Asymmetric Overnight Return Anomaly in the Chinese Stock Market","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Anomaly (physics); Capital asset pricing model; Economics; Stock (firearms); Abnormal return; Financial economics; Rate of return; Names of the days of the week; Stock market; Expected return; Monetary economics; Econometrics; Stock exchange; Finance; Portfolio","score_opus":0.008511572635356172,"score_gpt":0.1940997523420824,"score_spread":0.18558817970672623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309176734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997472,0.00011013978,0.0006428249,0.00015826857,0.000007974756,0.0000036215977,0.00004421099,0.000017754057,0.0015431594],"genre_scores_gemma":[0.99971896,0.000039027018,0.000064719585,0.000012452069,0.000013283708,9.5250823e-7,0.000025579073,0.0000017453569,0.00012326257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975723,0.000027637037,0.000019072766,0.000051515275,0.00008875138,0.000055812485],"domain_scores_gemma":[0.99845254,0.000351907,0.0006895289,0.00013327782,0.00024522335,0.00012760685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006006901,0.00018889146,0.0003203615,0.000798671,0.00029587556,0.0006333852,0.0003909356,0.00041815703,0.0012098512],"category_scores_gemma":[0.0033016142,0.00013953785,0.00021163501,0.0006911729,0.0006400415,0.00084083725,0.0004082046,0.000401152,0.00012901967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009155689,0.00019795666,0.81047654,0.00018323564,0.00023674806,0.0046020797,0.0021714899,0.015997319,0.06267974,0.030645246,0.0041784253,0.06771561],"study_design_scores_gemma":[0.00003042214,0.00007240422,0.95210797,0.000010744719,0.00006098262,0.00054798747,0.00030778765,0.03491172,0.0029048102,0.0082696695,0.0007298125,0.00004570455],"about_ca_topic_score_codex":0.008384758,"about_ca_topic_score_gemma":0.0034194314,"teacher_disagreement_score":0.008384758,"about_ca_system_score_codex":0.00069716485,"about_ca_system_score_gemma":0.00036816453,"threshold_uncertainty_score":0.016671896},"labels":[],"label_agreement":null},{"id":"W4309461041","doi":"10.3390/jrfm15110535","title":"A Bibliometric Analysis of Machine Learning Econometrics in Asset Pricing","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Capital asset pricing model; Computer science; Inference; Financial econometrics; Econometric model; Asset (computer security); Machine learning; Economics; Artificial intelligence; Finance; Financial analysis","score_opus":0.020745671586776378,"score_gpt":0.2146089286708954,"score_spread":0.19386325708411903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309461041","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25470158,0.07590724,0.21543719,0.026394967,0.0024669904,0.0006889851,0.034255408,0.0023151163,0.3878324],"genre_scores_gemma":[0.88825685,0.029118922,0.047724377,0.00078645174,0.002760438,0.0005078184,0.009750596,0.00034465204,0.020749897],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9893963,0.003242008,0.0008956731,0.00088082376,0.0051722922,0.00041300943],"domain_scores_gemma":[0.9235402,0.04998132,0.0077497046,0.004586572,0.013297232,0.0008450191],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009377345,0.00071446225,0.0011358578,0.075375855,0.0017875179,0.008147466,0.0010892687,0.0015113084,0.010687046],"category_scores_gemma":[0.091577455,0.00037020675,0.001379136,0.12507893,0.001670755,0.008315504,0.002613469,0.0011496339,0.002784307],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010422032,0.00019834425,0.11916283,0.0032806236,0.0005447683,0.0005020644,0.0026048883,0.015886586,0.0010978815,0.33855414,0.061187536,0.45687604],"study_design_scores_gemma":[0.000049092996,0.00017135138,0.24251324,0.0029596884,0.00065755233,0.001707602,0.00532828,0.09669569,0.0028853647,0.2909646,0.35579458,0.00027294454],"about_ca_topic_score_codex":0.0052657155,"about_ca_topic_score_gemma":0.0043624197,"teacher_disagreement_score":0.99062264,"about_ca_system_score_codex":0.0034302038,"about_ca_system_score_gemma":0.0031888068,"threshold_uncertainty_score":0.049592733},"labels":[],"label_agreement":null},{"id":"W4309589449","doi":"10.1093/rapstu/raac019","title":"Cheaper Is Not Better: On the ‘Superior’ Performance of High-Fee Mutual Funds","year":2022,"lang":"en","type":"article","venue":"The Review of Asset Pricing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Profitability index; Performance fee; Equity (law); Business; Investment (military); Preference; Finance; Actuarial science; Institutional investor; Economics; Microeconomics; Open-end fund","score_opus":0.059753863408699676,"score_gpt":0.26018708530311285,"score_spread":0.20043322189441318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309589449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845917,0.0013575014,0.00082575745,0.0017671147,0.000024899073,0.000008870294,0.000076632394,0.000019680603,0.011327868],"genre_scores_gemma":[0.9994375,0.000107816646,0.00008759749,0.000053082957,0.000023065628,8.937794e-7,0.000014161037,0.0000021280619,0.00027372193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984036,0.0006530917,0.00013371433,0.00015184004,0.00041503095,0.00024280357],"domain_scores_gemma":[0.985784,0.0050648847,0.006124339,0.0006593038,0.0010289251,0.0013384578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004253676,0.00022086332,0.0004317599,0.0008938655,0.0004316169,0.0030728607,0.00038604962,0.0009250552,0.0054637115],"category_scores_gemma":[0.023865413,0.000077574936,0.00017695205,0.0008194693,0.0013915098,0.0026351106,0.0015659842,0.0004776838,0.0005411808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004452813,0.00054820074,0.61766154,0.00055593665,0.000567562,0.0013634968,0.0015531842,0.009236797,0.006479948,0.13675351,0.010089496,0.21073757],"study_design_scores_gemma":[0.00033094987,0.0016854324,0.8770957,0.0002441547,0.00046299738,0.0009360648,0.0031751182,0.017219098,0.0060195434,0.078174606,0.014554486,0.00010183892],"about_ca_topic_score_codex":0.0015938234,"about_ca_topic_score_gemma":0.0014482333,"teacher_disagreement_score":0.0054637115,"about_ca_system_score_codex":0.000997667,"about_ca_system_score_gemma":0.0003993353,"threshold_uncertainty_score":0.022495806},"labels":[],"label_agreement":null},{"id":"W4309941110","doi":"10.3390/jrfm15120549","title":"Portfolios under Different Methods and Scenarios: A Case of Fiji’s South Pacific Stock Exchange","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Changwon National University","keywords":"Sharpe ratio; Portfolio; Diversification (marketing strategy); Econometrics; Economics; Stock (firearms); Capital asset pricing model; Financial economics; Market portfolio; Standard deviation; Downside risk; Modern portfolio theory; Mathematics; Statistics; Business; Geography","score_opus":0.02687040564567151,"score_gpt":0.2462720144886612,"score_spread":0.2194016088429897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309941110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852653,0.00042398242,0.010175846,0.0003994853,0.000015038857,0.00006519394,0.00030496324,0.00006702675,0.0032831053],"genre_scores_gemma":[0.988133,0.0001893884,0.01014272,0.000049049067,0.00001504723,0.000033394976,0.00048485651,0.000010771363,0.0009417897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911994,0.00032687097,0.000052037016,0.00012680492,0.00024067088,0.00013362995],"domain_scores_gemma":[0.9975681,0.001307858,0.00028624976,0.00032179782,0.00035451408,0.00016152486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036632768,0.0007216185,0.0004519017,0.0014264713,0.0006726496,0.0015914775,0.00070820365,0.0011751384,0.0012061611],"category_scores_gemma":[0.00749389,0.00018803627,0.0005297435,0.0011488091,0.00053786486,0.00186138,0.0007655391,0.00064339733,0.00015068892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012801492,0.0006377467,0.24636988,0.0002788193,0.00075873383,0.0044190614,0.0007374481,0.58510745,0.0051914887,0.023819016,0.0052042487,0.12619598],"study_design_scores_gemma":[0.00016769167,0.0003270325,0.100990236,0.000039946208,0.00012826186,0.0010640387,0.00074019807,0.88017434,0.0037967777,0.009142967,0.0033580132,0.00007052395],"about_ca_topic_score_codex":0.011784515,"about_ca_topic_score_gemma":0.009554682,"teacher_disagreement_score":0.011784515,"about_ca_system_score_codex":0.0012404663,"about_ca_system_score_gemma":0.000604929,"threshold_uncertainty_score":0.023431838},"labels":[],"label_agreement":null},{"id":"W4310365797","doi":"10.1287/mnsc.2022.4594","title":"Superstition and Risk Taking: Evidence from “Zodiac Year” Beliefs in China","year":2022,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Luck; China; Risk-seeking; Economics; Investment (military); Finance; Actuarial science; Political science; Law","score_opus":0.02963307235451035,"score_gpt":0.21709112915568624,"score_spread":0.1874580568011759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310365797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99890447,0.00011406844,0.00005231017,0.00012997178,0.0000030591314,0.0000040998952,0.00017239069,0.0000011877019,0.00061840314],"genre_scores_gemma":[0.9995128,0.000070124646,0.000024261555,0.000025679596,0.0000039940523,0.0000028944783,0.00015579897,6.86911e-7,0.00020372523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993488,0.00015893472,0.00006596981,0.00012697266,0.00014042911,0.0001587702],"domain_scores_gemma":[0.9928663,0.0012544654,0.0035967529,0.000595384,0.00056667026,0.001120376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011844672,0.00021536832,0.0003011551,0.00096978893,0.000821762,0.00075643894,0.0003852533,0.00040104496,0.0027616117],"category_scores_gemma":[0.0038290424,0.0002038411,0.00046285236,0.0018128625,0.000767053,0.00042770014,0.0008630151,0.0005106345,0.00015899906],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005154286,0.000037452413,0.9954581,0.000017673156,0.000064009975,0.000076368386,0.0012806451,0.000060891878,0.00011663782,0.00018406806,0.00015758569,0.002494903],"study_design_scores_gemma":[0.0000024402768,0.000019926145,0.9990953,0.0000050581216,0.000014545282,0.000012944963,0.00042182545,0.00015794334,0.000028343082,0.000058352336,0.00017875117,0.0000044211015],"about_ca_topic_score_codex":0.09855844,"about_ca_topic_score_gemma":0.1084692,"teacher_disagreement_score":0.09855844,"about_ca_system_score_codex":0.00084244204,"about_ca_system_score_gemma":0.0012828845,"threshold_uncertainty_score":0.19596952},"labels":[],"label_agreement":null},{"id":"W4311054521","doi":"10.1142/s2010139222500148","title":"Why do Funds Make More When They Trade More?","year":2022,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Mutual fund; Cash flow; Index fund; Stock (firearms); Business; Closed-end fund; Residual; Financial economics; Economics; Monetary economics; Finance; Econometrics; Open-end fund; Institutional investor; Computer science","score_opus":0.02151374250108282,"score_gpt":0.2156092209651021,"score_spread":0.19409547846401928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311054521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89671814,0.00672467,0.008317261,0.052069966,0.0009254467,0.000057692425,0.00075649004,0.0002462453,0.034184095],"genre_scores_gemma":[0.98863053,0.0010915629,0.0013853275,0.004605635,0.00077615766,0.00001664706,0.00016679773,0.000044614044,0.0032827621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900633,0.00016140655,0.000070757764,0.00025219587,0.00026929317,0.00024010138],"domain_scores_gemma":[0.9865942,0.003155218,0.006641792,0.0008206322,0.0011284404,0.0016596928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024472834,0.00035155538,0.0005213783,0.00089724234,0.0006613743,0.00322613,0.00042868586,0.0016142996,0.0057224333],"category_scores_gemma":[0.026622897,0.00017986979,0.00029607394,0.00064707134,0.0019215414,0.0044245557,0.0008744627,0.0010443536,0.0016601898],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009815271,0.00041827117,0.5732855,0.00062421255,0.00089982286,0.00087658066,0.004167917,0.0030797927,0.0075218407,0.051087238,0.02872649,0.3283308],"study_design_scores_gemma":[0.00029458533,0.0008993848,0.6150749,0.0006238257,0.00040970332,0.0013110687,0.0068363543,0.0045548147,0.006873726,0.28420794,0.07872887,0.00018474262],"about_ca_topic_score_codex":0.0017144203,"about_ca_topic_score_gemma":0.0016093756,"teacher_disagreement_score":0.0057224333,"about_ca_system_score_codex":0.0005625753,"about_ca_system_score_gemma":0.00066907814,"threshold_uncertainty_score":0.019143462},"labels":[],"label_agreement":null},{"id":"W4311392348","doi":"10.1111/1911-3846.12846","title":"Experts in the Boardroom: Director Connections in the Mutual Fund Industry*","year":2022,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Mutual fund; Closed-end fund; Earnings; Business; Open-end fund; Stock (firearms); Manager of managers fund; Finance; Accounting; Scope (computer science); Corporate governance; Institutional investor","score_opus":0.22644991289828512,"score_gpt":0.33851938129556886,"score_spread":0.11206946839728374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311392348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793153,0.00038706852,0.00032861013,0.0017188311,0.00002236975,0.000012079827,0.00003713507,0.000007726725,0.018170929],"genre_scores_gemma":[0.9979861,0.000107691594,0.0000853092,0.00012243517,0.00003428516,0.0000033688416,0.000022204817,0.0000013512292,0.0016372213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983834,0.0007596056,0.000053099433,0.00015728806,0.0001978634,0.00044885662],"domain_scores_gemma":[0.97869784,0.0072499476,0.009435842,0.00038019897,0.0006822283,0.003553974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002289112,0.00014561092,0.00017517958,0.0017124107,0.0014094174,0.0029552053,0.00044675486,0.0010754372,0.009340205],"category_scores_gemma":[0.013925886,0.0001915571,0.000097587086,0.0009905952,0.0010095831,0.0029260528,0.0019773648,0.0008097358,0.0005115065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054828177,0.00060100795,0.8594797,0.000093593444,0.00005343143,0.0018031243,0.023008952,0.00075282773,0.0015538413,0.01803063,0.0070051947,0.08706947],"study_design_scores_gemma":[0.00006827922,0.00027257047,0.88696253,0.00018094927,0.000066441935,0.0005924216,0.07335264,0.002026102,0.00067696685,0.009308761,0.02645169,0.000040579216],"about_ca_topic_score_codex":0.00488082,"about_ca_topic_score_gemma":0.011298631,"teacher_disagreement_score":0.009340205,"about_ca_system_score_codex":0.0010899957,"about_ca_system_score_gemma":0.00081438955,"threshold_uncertainty_score":0.031246066},"labels":[],"label_agreement":null},{"id":"W4311647253","doi":"10.47670/wuwijar202261scks","title":"Profitability Analysis of the Straddle Strategy in Trading One-Month Options","year":2022,"lang":"en","type":"article","venue":"Westcliff International Journal of Applied Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wycliffe College","funders":"","keywords":"Straddle; Profitability index; Position (finance); Volatility (finance); Business; Financial economics; Profit (economics); Economics; Finance; Microeconomics","score_opus":0.12279295297496119,"score_gpt":0.3315848070121295,"score_spread":0.20879185403716832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311647253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935747,0.00015160839,0.004550391,0.000038919847,0.0000017105536,0.000013528567,0.000023504048,0.000009107284,0.0016365636],"genre_scores_gemma":[0.99893945,0.00005055734,0.0006942548,0.0000023928526,0.0000015726629,0.00000394195,0.000025616646,0.0000014696401,0.00028083194],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961215,0.00012628171,0.000024417523,0.000045712964,0.0001349693,0.000056394383],"domain_scores_gemma":[0.9968882,0.0020935715,0.0005165815,0.000077251,0.00029992196,0.00012438672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094246556,0.0001937999,0.00025672308,0.0010259486,0.00018406955,0.0008317276,0.00031006284,0.0003650582,0.0013637526],"category_scores_gemma":[0.0042179646,0.00008087142,0.00030498087,0.00055267697,0.0004501439,0.00106427,0.00030065503,0.00036139757,0.00014297043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019889623,0.0007546467,0.39838287,0.00028909315,0.00024624597,0.0027115566,0.00094535947,0.33422405,0.0528959,0.047522224,0.0007374684,0.1593017],"study_design_scores_gemma":[0.000020869227,0.0013113482,0.18889219,0.000033208016,0.00008994049,0.0008118046,0.00069727347,0.7890204,0.009362095,0.008966772,0.00072777603,0.00006630303],"about_ca_topic_score_codex":0.0016713263,"about_ca_topic_score_gemma":0.0014261703,"teacher_disagreement_score":0.0016713263,"about_ca_system_score_codex":0.0008567831,"about_ca_system_score_gemma":0.00031301365,"threshold_uncertainty_score":0.0062164664},"labels":[],"label_agreement":null},{"id":"W4311730047","doi":"10.1007/s10479-022-05120-5","title":"A Stackelberg order execution game","year":2022,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Stackelberg competition; Nash equilibrium; Trading strategy; Computer science; Mathematical economics; Theory of computation; Order (exchange); Algorithmic trading; Portfolio; Sequential game; Price of anarchy; Game theory; Economics; Price of stability; Finance","score_opus":0.30203348473901453,"score_gpt":0.3929325921101922,"score_spread":0.09089910737117768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311730047","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24427031,0.0003456122,0.68607146,0.0032401567,0.00023868859,0.00029409793,0.0005098678,0.00032734236,0.06470246],"genre_scores_gemma":[0.91618276,0.0004595028,0.05352467,0.00019180115,0.000116332834,0.00019707186,0.0002196186,0.00004160407,0.02906661],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99883956,0.00038421838,0.000070325936,0.00019660147,0.00030234046,0.00020698071],"domain_scores_gemma":[0.99709344,0.0019639127,0.00020570777,0.00015290854,0.00026360754,0.00032029266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001710979,0.000880733,0.0012856673,0.0006087419,0.0010005002,0.0035077694,0.0012620938,0.0024088796,0.007852374],"category_scores_gemma":[0.005502621,0.0005627622,0.0009502178,0.00089802226,0.0016790952,0.003900189,0.00131626,0.0021624444,0.0007212692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028954304,0.00020108379,0.0007065383,0.00007722844,0.000061963365,0.00035782237,0.00019551929,0.19524218,0.0020077291,0.7806655,0.0030092997,0.017185584],"study_design_scores_gemma":[0.0001264118,0.00014787243,0.00014658504,0.000013646254,0.000032709726,0.000079880134,0.000052046555,0.55469155,0.00049949135,0.4420261,0.0021543482,0.000029374602],"about_ca_topic_score_codex":0.0043382277,"about_ca_topic_score_gemma":0.0023797068,"teacher_disagreement_score":0.007852374,"about_ca_system_score_codex":0.001376657,"about_ca_system_score_gemma":0.0030825739,"threshold_uncertainty_score":0.02626884},"labels":[],"label_agreement":null},{"id":"W4311890118","doi":"10.54691/bcpbm.v32i.2905","title":"Research on the Tendency Relationship between Individual Stock and Stock Index","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stock (firearms); Stock market; Capital asset pricing model; Capitalization-weighted index; Economics; Stock market bubble; Financial economics; Stock market index; Econometrics; Growth stock; Restricted stock; Volatility (finance); Business; Geography","score_opus":0.2084314219692765,"score_gpt":0.30552410572138705,"score_spread":0.09709268375211055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311890118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8860397,0.002943097,0.09699174,0.000632547,0.00010263261,0.00006615012,0.00044042896,0.00042010043,0.012363635],"genre_scores_gemma":[0.9896652,0.0009752099,0.007478186,0.000060071914,0.00006717042,0.00002014926,0.00025512345,0.000037954942,0.0014409603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987723,0.00023720282,0.0000768259,0.00044435827,0.00039404057,0.00007514922],"domain_scores_gemma":[0.99189353,0.0044570314,0.0015727864,0.0006763767,0.0011713755,0.00022885663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021321562,0.00046956495,0.00041663548,0.0025642263,0.0002844355,0.0011051638,0.00063698535,0.00064225716,0.0017444305],"category_scores_gemma":[0.014898439,0.0003248472,0.00064422726,0.0028322937,0.0004522751,0.002347182,0.0004285864,0.00065953226,0.00043328793],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014342928,0.00010167089,0.83902633,0.00024658753,0.00051512365,0.0005726337,0.00085586944,0.02020514,0.0070490954,0.019155953,0.0012428506,0.11088537],"study_design_scores_gemma":[0.00001267633,0.00037918935,0.7398536,0.00007592666,0.00031422995,0.0015302454,0.0006789067,0.23020059,0.006476363,0.014415459,0.005960846,0.00010195743],"about_ca_topic_score_codex":0.002702488,"about_ca_topic_score_gemma":0.0015851897,"teacher_disagreement_score":0.002702488,"about_ca_system_score_codex":0.00044809876,"about_ca_system_score_gemma":0.00041827263,"threshold_uncertainty_score":0.011276066},"labels":[],"label_agreement":null},{"id":"W4311960483","doi":"10.3390/ijfs10040113","title":"Relationship between Stock Returns and Trading Volume at the Bourse Régionale des Valeurs Mobilières, West Africa","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Econometrics; Autoregressive model; Autoregressive conditional heteroskedasticity; Economics; Stock (firearms); Heteroscedasticity; Stock market index; Index (typography); Financial economics; Stock market; Computer science; Volatility (finance); Geography","score_opus":0.11678678071261936,"score_gpt":0.28255855544719577,"score_spread":0.1657717747345764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311960483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998987,0.00021954594,0.000041654133,0.00002118338,0.0000022338534,0.0000011048426,0.00025828628,0.0000017623405,0.00046707067],"genre_scores_gemma":[0.9990465,0.00015479892,0.00006818,0.0000025311556,0.0000050060903,0.0000014328895,0.000296781,8.4279816e-7,0.00042392866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999869,0.000024543251,0.000012712367,0.000028744525,0.000028931843,0.000035980927],"domain_scores_gemma":[0.9993309,0.00016788134,0.00036100094,0.00001925161,0.00007429972,0.000046709574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025257174,0.00016758432,0.00015016909,0.0010297108,0.00011509228,0.00062603515,0.00014081082,0.00013911631,0.0010762285],"category_scores_gemma":[0.0011840893,0.00007005865,0.00013825131,0.0008975202,0.0001132117,0.00030916405,0.00021822187,0.00015996653,0.00017255313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109719855,0.000024695857,0.9868035,0.000034201665,0.000068860936,0.00046535823,0.0004849438,0.00088409544,0.0011177958,0.00029811414,0.00027198665,0.00943682],"study_design_scores_gemma":[0.0000029858495,0.000029394616,0.99691784,0.00001694195,0.000016603952,0.00020742862,0.00063139194,0.0007983111,0.00030458497,0.000048516522,0.001021653,0.000004246537],"about_ca_topic_score_codex":0.022165395,"about_ca_topic_score_gemma":0.026697889,"teacher_disagreement_score":0.022165395,"about_ca_system_score_codex":0.00043008494,"about_ca_system_score_gemma":0.00019723672,"threshold_uncertainty_score":0.044072747},"labels":[],"label_agreement":null},{"id":"W4311974473","doi":"10.3390/jrfm15120591","title":"A Mathematical Formulation of the Valuation of Ether and Ether Derivatives as a Function of Investor Sentiment and Price Jumps","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Futures contract; Valuation (finance); Econometrics; Financial economics; Finance","score_opus":0.024344179561020547,"score_gpt":0.213910183908073,"score_spread":0.18956600434705245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311974473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05184938,0.0012221532,0.89950866,0.0036849964,0.00018927589,0.000088960725,0.00024929814,0.00010164422,0.043105643],"genre_scores_gemma":[0.8915525,0.0016798455,0.06843528,0.0005078633,0.00040273234,0.00026925656,0.00016128922,0.00007262287,0.03691861],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946445,0.00021283182,0.000029145016,0.00009783594,0.00012158521,0.000074131494],"domain_scores_gemma":[0.99831426,0.0009627475,0.0002832685,0.00010056853,0.0002364717,0.00010268958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027615263,0.0010909255,0.00067312864,0.0009824089,0.00049649004,0.0026267823,0.0014530096,0.0023132127,0.0042896415],"category_scores_gemma":[0.00645728,0.0006147423,0.0011146921,0.0006838363,0.0016517658,0.0066186935,0.0011386919,0.0025740555,0.0005384917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014806318,0.000026475944,0.0004334477,0.000047597696,0.000014068053,0.0001448164,0.000119520315,0.08251107,0.0012170789,0.9111099,0.0009084323,0.003452788],"study_design_scores_gemma":[0.0000119940705,0.000041891613,0.0004249995,0.00002643437,0.00001478871,0.00012262276,0.000049995888,0.70969915,0.00026350745,0.28707364,0.0022436357,0.000027397758],"about_ca_topic_score_codex":0.0021733318,"about_ca_topic_score_gemma":0.0017815068,"teacher_disagreement_score":0.0042896415,"about_ca_system_score_codex":0.0022814102,"about_ca_system_score_gemma":0.0010683022,"threshold_uncertainty_score":0.016552866},"labels":[],"label_agreement":null},{"id":"W4312000337","doi":"10.3390/jrfm15120593","title":"Causality between Arbitrage and Liquidity in Platinum Futures","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Market liquidity; Arbitrage; Liquidity crisis; Liquidity risk; Monetary economics; Economics; Futures contract; Accounting liquidity; Liquidity premium; Financial economics; Index arbitrage; Algorithmic trading; Risk arbitrage; Business; Arbitrage pricing theory; Capital asset pricing model","score_opus":0.017921909958544396,"score_gpt":0.2078437423688056,"score_spread":0.1899218324102612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312000337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995121,0.00006953458,0.00007194135,0.000059876904,0.0000011886953,0.0000012398668,0.000018370123,0.0000011864439,0.00026458112],"genre_scores_gemma":[0.9998217,0.000033241344,0.00003090121,0.0000037437298,0.00000276799,9.668042e-7,0.000027288435,5.9960485e-7,0.00007886988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997869,0.000057009715,0.000025786338,0.000043469256,0.000039135743,0.000047777074],"domain_scores_gemma":[0.9962171,0.0016009999,0.0015559797,0.00009508959,0.00016336452,0.00036751374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006578499,0.00015284498,0.00028048575,0.0005296612,0.0003355423,0.0010019768,0.00019619778,0.00041348595,0.0017836287],"category_scores_gemma":[0.005974001,0.00016604782,0.0002502817,0.00064663484,0.00062614103,0.0015196712,0.0010063996,0.0006831042,0.00008566548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005038714,0.00011883776,0.9813037,0.000034609693,0.00011098563,0.0008736509,0.0010358816,0.0041902782,0.002583973,0.0027134027,0.000216104,0.0063147736],"study_design_scores_gemma":[0.000047807483,0.00015035784,0.974556,0.000018191262,0.00006850712,0.00027108222,0.0012688362,0.015656058,0.0011004617,0.0063097547,0.00052538334,0.000027487245],"about_ca_topic_score_codex":0.008386962,"about_ca_topic_score_gemma":0.007690784,"teacher_disagreement_score":0.008386962,"about_ca_system_score_codex":0.0005122303,"about_ca_system_score_gemma":0.00031691,"threshold_uncertainty_score":0.016676307},"labels":[],"label_agreement":null},{"id":"W4312090526","doi":"10.1371/journal.pone.0278236","title":"RETRACTED: Entropy-based financial asset pricing: Evidence from Pakistan","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Office for Philosophy and Social Sciences","keywords":"Capital asset pricing model; Economics; Financial economics; Econometrics","score_opus":0.08231153857181443,"score_gpt":0.22738494898243036,"score_spread":0.14507341041061594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312090526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6415439,0.037749123,0.0057922103,0.23295052,0.014986259,0.00012569613,0.02608988,0.000391104,0.040371362],"genre_scores_gemma":[0.93873274,0.015752494,0.0010635686,0.0155582335,0.0056339614,0.000030012769,0.0049163983,0.000105526924,0.018206885],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994087,0.00012456774,0.00008561799,0.00010438352,0.00021370241,0.00006293472],"domain_scores_gemma":[0.9743571,0.012356923,0.003107711,0.0016975286,0.007578529,0.0009022667],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0024159944,0.00031019442,0.00042756498,0.0014614078,0.0009054427,0.0020453376,0.0012037514,0.0011692379,0.020443602],"category_scores_gemma":[0.025849374,0.00010418949,0.00041925424,0.002732978,0.00083010754,0.0029511086,0.0009331146,0.0017282959,0.004053173],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010936172,0.0003223372,0.30416203,0.0018140159,0.00043601947,0.003354178,0.0039978176,0.0014470805,0.0007928837,0.00828697,0.30561492,0.3686781],"study_design_scores_gemma":[0.00012449086,0.00065797404,0.66251177,0.0023164076,0.00045674434,0.0021980796,0.016226731,0.0051576043,0.0022188537,0.017855475,0.29007316,0.00020268236],"about_ca_topic_score_codex":0.030035222,"about_ca_topic_score_gemma":0.013932325,"teacher_disagreement_score":0.99883074,"about_ca_system_score_codex":0.00065822207,"about_ca_system_score_gemma":0.0016283883,"threshold_uncertainty_score":0.06839061},"labels":[],"label_agreement":null},{"id":"W4312175786","doi":"10.3390/jrfm16010004","title":"Comparison of Multifactor Asset Pricing Models in the South African Stock Market [2000–2016]","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of the Western Cape","keywords":"Capital asset pricing model; Financial economics; Stock market; Economics; Stock exchange; Cointegration; Econometrics; Arbitrage pricing theory; Value (mathematics); Business; Finance; Computer science","score_opus":0.03606973984082803,"score_gpt":0.2349893162951958,"score_spread":0.19891957645436775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312175786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816648,0.0010782767,0.01185193,0.0006305772,0.000039374747,0.000036716003,0.00035697588,0.00011359545,0.004227845],"genre_scores_gemma":[0.99561864,0.00044834186,0.002507554,0.000027719347,0.00001842018,0.000019366713,0.0003124547,0.000017062774,0.0010304165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994344,0.00031755594,0.000032342825,0.00007952075,0.00006309782,0.00007311235],"domain_scores_gemma":[0.99709463,0.002126929,0.00030970204,0.00013006174,0.00023049633,0.00010815526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040768427,0.000607228,0.0007773341,0.0015244416,0.00042255622,0.0016453931,0.001005662,0.0011272776,0.002998664],"category_scores_gemma":[0.007894763,0.00028040286,0.0015915388,0.0011582037,0.00033655472,0.0016558763,0.00055113406,0.00087962043,0.00035709096],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009165133,0.0002655366,0.06609754,0.00034097183,0.00074282836,0.00057733257,0.00083733525,0.8220249,0.0010508237,0.05205387,0.002606694,0.05248568],"study_design_scores_gemma":[0.000034677538,0.00009807958,0.01876958,0.00005579561,0.000092025366,0.000061877545,0.00015555925,0.9736192,0.00016931689,0.006052171,0.00086216995,0.000029482244],"about_ca_topic_score_codex":0.030449528,"about_ca_topic_score_gemma":0.01156905,"teacher_disagreement_score":0.030449528,"about_ca_system_score_codex":0.0012400647,"about_ca_system_score_gemma":0.0009314828,"threshold_uncertainty_score":0.06054461},"labels":[],"label_agreement":null},{"id":"W4312242915","doi":"10.2139/ssrn.4247374","title":"Does the Mad Money Show Cause Investors to Go Madly Attentive?","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Economics; Monetary economics; Financial economics; Psychology","score_opus":0.017657098795594052,"score_gpt":0.20730463949686512,"score_spread":0.18964754070127107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312242915","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36681318,0.009090644,0.0016039917,0.43046516,0.0066816355,0.000034961267,0.00048122086,0.00022310414,0.1846061],"genre_scores_gemma":[0.939001,0.0029097325,0.00033216612,0.035949286,0.0028918958,0.00001662973,0.00009819608,0.00007039863,0.018730687],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991704,0.0003149315,0.000028050323,0.00007741088,0.00020418441,0.00020511204],"domain_scores_gemma":[0.98825663,0.004076366,0.0041745645,0.00062665815,0.0012345369,0.0016312711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017588045,0.00017901039,0.00039280474,0.0005606632,0.0009939906,0.0033276188,0.00042040084,0.0034847623,0.024944847],"category_scores_gemma":[0.025389913,0.00016836371,0.00023402489,0.000454948,0.0020051682,0.003321605,0.0009944896,0.0028463358,0.003908553],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002506724,0.0008829806,0.18519428,0.00054699957,0.00053564494,0.0022342838,0.005058461,0.00056243455,0.0036736215,0.17281318,0.42177492,0.20421647],"study_design_scores_gemma":[0.00045134538,0.0010469244,0.26959404,0.0008812625,0.000551083,0.0020024856,0.01815778,0.0018633906,0.0051773586,0.26915386,0.43090793,0.00021245598],"about_ca_topic_score_codex":0.0018527331,"about_ca_topic_score_gemma":0.0025871645,"teacher_disagreement_score":0.024944847,"about_ca_system_score_codex":0.00070358004,"about_ca_system_score_gemma":0.0007180254,"threshold_uncertainty_score":0.08344883},"labels":[],"label_agreement":null},{"id":"W4312261086","doi":"10.2139/ssrn.4260836","title":"Volatility during the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Quest University Canada","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Volatility (finance); Economics; Financial economics; Econometrics; Business; Virology; Medicine; Infectious disease (medical specialty); Outbreak; Internal medicine","score_opus":0.03178516923415345,"score_gpt":0.23274057755289546,"score_spread":0.200955408318742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312261086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9100899,0.0019741664,0.0006751661,0.03505948,0.0013844593,0.000046845125,0.0028582078,0.00008286944,0.047828987],"genre_scores_gemma":[0.9947009,0.000277921,0.000066569555,0.0018816567,0.00044882137,0.000010930522,0.00061556,0.000025036255,0.0019725068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943393,0.000080107646,0.000024288742,0.000077729084,0.0001304323,0.00025348412],"domain_scores_gemma":[0.9985763,0.00025535113,0.00034738978,0.00007951494,0.0003180919,0.00042342636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012807242,0.00023798856,0.00033329753,0.00048056582,0.0007774827,0.0034959107,0.00036472842,0.0020906415,0.0036448112],"category_scores_gemma":[0.0064215944,0.00015008563,0.00018230385,0.0005840426,0.000697023,0.0012899608,0.0019385482,0.0024954244,0.00066128076],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029852663,0.00042621742,0.47427058,0.00030258612,0.00031015786,0.00444913,0.0076289084,0.010556184,0.0065560904,0.14594096,0.24287319,0.10370077],"study_design_scores_gemma":[0.00016536313,0.00044334744,0.78005576,0.00033486946,0.00006551997,0.0012288387,0.010872424,0.015354404,0.0014850188,0.029839754,0.15999061,0.00016414074],"about_ca_topic_score_codex":0.011794438,"about_ca_topic_score_gemma":0.010592619,"teacher_disagreement_score":0.011794438,"about_ca_system_score_codex":0.0017307322,"about_ca_system_score_gemma":0.0008601812,"threshold_uncertainty_score":0.023451567},"labels":[],"label_agreement":null},{"id":"W4312264059","doi":"10.55365/1923.x2022.20.51","title":"Streamlining Investors’ Perceptions and the Behaviour of Capital Market Returns Around the World","year":2022,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Financial economics; Volatility (finance); Volatility clustering; Stock market; Autoregressive conditional heteroskedasticity; Descriptive statistics; Capital market; Econometrics; Finance; Statistics; Geography","score_opus":0.025439825246013088,"score_gpt":0.22275756449308254,"score_spread":0.19731773924706944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312264059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972046,0.00015508679,0.00039358172,0.00014821789,0.000005039429,0.0000074656496,0.000078669895,0.000002638135,0.0020047587],"genre_scores_gemma":[0.9993285,0.00013655421,0.00018374203,0.00003208635,0.0000057626335,0.0000027479994,0.000056867506,0.0000010392359,0.0002527468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994753,0.00017381058,0.000054573597,0.000067823305,0.00015770039,0.0000707235],"domain_scores_gemma":[0.9963503,0.0011498193,0.00184606,0.00016072202,0.00035777234,0.00013535534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010272793,0.00014021192,0.00014639777,0.0008465536,0.0001834584,0.0012319466,0.00012750165,0.00027690272,0.0008737098],"category_scores_gemma":[0.0061308416,0.0000817496,0.00015414642,0.00081066036,0.00034038,0.0010567865,0.00036834725,0.00032553606,0.000106157226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009280101,0.00006647653,0.9492151,0.00006365693,0.00006910435,0.00035217684,0.006876399,0.0004961571,0.0013692696,0.0011232432,0.00038829926,0.039887097],"study_design_scores_gemma":[0.000002179061,0.000111944355,0.98654246,0.00003544754,0.000025257421,0.00027785322,0.008719675,0.0013338226,0.0006127721,0.00069264753,0.0016218369,0.000023933115],"about_ca_topic_score_codex":0.0022694836,"about_ca_topic_score_gemma":0.0035656877,"teacher_disagreement_score":0.0022694836,"about_ca_system_score_codex":0.00030789772,"about_ca_system_score_gemma":0.00018597467,"threshold_uncertainty_score":0.005432844},"labels":[],"label_agreement":null},{"id":"W4312671488","doi":"10.2139/ssrn.4259774","title":"Model Ambiguity versus Model Misspecification in Dynamic Portfolio Choice and Asset Pricing","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Ambiguity; Capital asset pricing model; Portfolio; Economics; Econometrics; Financial economics; Replicating portfolio; Asset (computer security); Portfolio optimization; Computer science","score_opus":0.03632877823521259,"score_gpt":0.24368218633670694,"score_spread":0.20735340810149433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312671488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.510425,0.0033237904,0.465553,0.009930215,0.00021096885,0.000030106052,0.00015196588,0.0001460586,0.010228911],"genre_scores_gemma":[0.9904232,0.0006859024,0.007029373,0.00016322028,0.00016217961,0.0000123391565,0.000051689447,0.00003371847,0.0014382472],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971693,0.001738554,0.0001840212,0.0003781982,0.00033570908,0.00019418339],"domain_scores_gemma":[0.9488646,0.04425957,0.003714423,0.0018502815,0.0006142109,0.0006970041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007647122,0.0007165581,0.0017953423,0.0009807915,0.0004745936,0.0038502596,0.0010497071,0.0026840933,0.0029928188],"category_scores_gemma":[0.06796188,0.00087158533,0.00095158274,0.0012126947,0.0022052273,0.009577212,0.0028232571,0.0032876548,0.0002017836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038133506,0.00012680168,0.012889437,0.00018378274,0.00020318775,0.0006191333,0.0005551225,0.19044687,0.00081141357,0.76692915,0.0010718895,0.025781946],"study_design_scores_gemma":[0.000026208478,0.000048314258,0.0018462024,0.000023306498,0.0000323455,0.00013657397,0.000061943036,0.2563621,0.0001665511,0.7409618,0.00030595073,0.000028690896],"about_ca_topic_score_codex":0.0009498033,"about_ca_topic_score_gemma":0.00056724326,"teacher_disagreement_score":0.007647122,"about_ca_system_score_codex":0.00073621416,"about_ca_system_score_gemma":0.0006872444,"threshold_uncertainty_score":0.040442348},"labels":[],"label_agreement":null},{"id":"W4312717911","doi":"10.2139/ssrn.4244525","title":"Look behind the Curtain: The Direct and Indirect Impact of Non-cognitive Skills on Stock Market Participation","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Stock market; Stock (firearms); Iron Curtain; Business; Engineering; Political science; Law; Geography; Politics","score_opus":0.013368413477847868,"score_gpt":0.24417711744798326,"score_spread":0.2308087039701354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312717911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916368,0.0002917761,0.00010098842,0.0010751218,0.000022750788,0.000007593297,0.0002529433,0.000010167236,0.00660188],"genre_scores_gemma":[0.99724627,0.00008477994,0.000047438465,0.0001835532,0.000034511097,0.0000051841917,0.000099841935,0.0000070154288,0.0022914184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889743,0.00035622265,0.000047328507,0.0001770369,0.00015770303,0.00036438758],"domain_scores_gemma":[0.95927954,0.021831078,0.005233291,0.0017836794,0.0010303729,0.010842044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001494202,0.0003357881,0.0005439081,0.00067682966,0.000634445,0.0028245812,0.00092077977,0.0021516935,0.02419001],"category_scores_gemma":[0.020907834,0.00032160268,0.0006543994,0.0007306997,0.0012296846,0.0014821106,0.00241824,0.002175256,0.0024220138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011978896,0.0013040671,0.9718864,0.000077285964,0.0003935685,0.00030812868,0.0015206599,0.00048961944,0.001381417,0.0014769126,0.0013975822,0.018566428],"study_design_scores_gemma":[0.00003723258,0.00018706595,0.9962495,0.000025689023,0.00011664442,0.000043356496,0.0008255141,0.00037347327,0.00020193422,0.0014103177,0.0005177602,0.000011499937],"about_ca_topic_score_codex":0.012677596,"about_ca_topic_score_gemma":0.019398032,"teacher_disagreement_score":0.02419001,"about_ca_system_score_codex":0.00046829635,"about_ca_system_score_gemma":0.0012024736,"threshold_uncertainty_score":0.08092362},"labels":[],"label_agreement":null},{"id":"W4312745011","doi":"10.2139/ssrn.4225996","title":"Accounting Transparency and the Implied Volatility Skew","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Skew; Implied volatility; Volatility smile; Accounting; Volatility (finance); Econometrics; Transparency (behavior); Economics; SABR volatility model; Financial economics; Business; Computer science","score_opus":0.012637650965937077,"score_gpt":0.1916043627235905,"score_spread":0.1789667117576534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312745011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96382207,0.0014968038,0.013687449,0.0039934716,0.00014792822,0.000014231647,0.00044210994,0.00017234037,0.01622376],"genre_scores_gemma":[0.99902356,0.00018988621,0.00028211944,0.000036433197,0.00005917409,0.000001401036,0.00005055774,0.000010210378,0.00034673265],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990421,0.00029667243,0.00012549532,0.00013654085,0.00028195977,0.00011718029],"domain_scores_gemma":[0.9581112,0.022649147,0.01445147,0.0024296218,0.0017067377,0.00065175316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033340033,0.00027394725,0.0004735267,0.0009003193,0.00035341785,0.0034940753,0.00028530025,0.0012553039,0.0036966284],"category_scores_gemma":[0.04929172,0.00030533032,0.00030036195,0.001033659,0.00086109224,0.0029284398,0.00091281155,0.0018379608,0.000405632],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020758798,0.00027713817,0.3623703,0.000292825,0.00036360818,0.0019957726,0.0018711385,0.069524385,0.009955167,0.41540673,0.008735068,0.12713207],"study_design_scores_gemma":[0.00013172861,0.00021585336,0.2858972,0.00015291282,0.00023407444,0.0014606337,0.00061554706,0.16441634,0.004258028,0.5386905,0.0037661172,0.00016106178],"about_ca_topic_score_codex":0.0008539326,"about_ca_topic_score_gemma":0.0007291464,"teacher_disagreement_score":0.0036966284,"about_ca_system_score_codex":0.0006628841,"about_ca_system_score_gemma":0.000554268,"threshold_uncertainty_score":0.017632067},"labels":[],"label_agreement":null},{"id":"W4312994347","doi":"10.55365/1923.x2022.20.54","title":"Macroeconomic Factors and Value and Growth Strategies: Evidence from Brazil","year":2022,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Exchange rate; Financial economics; Unemployment; Growth stock; Inflation (cosmology); Stock market; Value (mathematics); Investment (military); Stock exchange; Monetary economics; Index (typography); Arbitrage; Money supply; Econometrics; Interest rate; Macroeconomics; Market maker; Finance","score_opus":0.030047573777893088,"score_gpt":0.23121806243664586,"score_spread":0.20117048865875278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312994347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670067,0.02109799,0.00051994063,0.0013338639,0.000017363267,0.000015445612,0.00063656084,0.0000058369196,0.009366267],"genre_scores_gemma":[0.9874303,0.011767529,0.00019633141,0.00007673058,0.000018438994,0.00000430499,0.00024108378,0.000002834891,0.00026253285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997838,0.00005851312,0.000021470112,0.000044045493,0.00006752788,0.000024621004],"domain_scores_gemma":[0.99789715,0.00089135015,0.0008025056,0.00008012716,0.00023917947,0.00008963706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006859632,0.00018515512,0.00026168386,0.0008743119,0.00021594817,0.00074762537,0.00017926506,0.0002435134,0.0009043051],"category_scores_gemma":[0.0039023554,0.0001344177,0.00027223118,0.0018825273,0.00038788526,0.00036489312,0.00041188675,0.00025790458,0.000094988325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000666314,0.000050842176,0.94148344,0.00046697693,0.00019259595,0.0004960975,0.002351616,0.0005052127,0.00060605665,0.004940192,0.0006803218,0.04815992],"study_design_scores_gemma":[0.000007907727,0.00004560314,0.9874349,0.00026607243,0.00013730672,0.00034056656,0.0015550159,0.00078924256,0.00020382532,0.0016916441,0.0075183758,0.000009704673],"about_ca_topic_score_codex":0.035726756,"about_ca_topic_score_gemma":0.04285378,"teacher_disagreement_score":0.035726756,"about_ca_system_score_codex":0.00043930323,"about_ca_system_score_gemma":0.000731579,"threshold_uncertainty_score":0.07103759},"labels":[],"label_agreement":null},{"id":"W4313195388","doi":"10.2139/ssrn.4264379","title":"Eigenvalue tests for the number of latent factors in short panels","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; HEC Montréal","funders":"","keywords":"Mathematics; Eigenvalues and eigenvectors; Econometrics; Statistics; Computer science; Physics","score_opus":0.040293573197208415,"score_gpt":0.2508901441551797,"score_spread":0.21059657095797127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313195388","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5278114,0.00041439704,0.45376804,0.0013590939,0.0003854863,0.000519729,0.0031935389,0.0017841499,0.01076414],"genre_scores_gemma":[0.9307522,0.00012669881,0.062568866,0.00018137763,0.0002555991,0.0006146052,0.002346037,0.0005124886,0.0026420974],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9448483,0.038546935,0.0027643058,0.007492445,0.0041650166,0.0021829954],"domain_scores_gemma":[0.4924056,0.47246903,0.007350663,0.018207628,0.005941295,0.0036257498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.033750407,0.0025108973,0.0026215531,0.0055410787,0.0034079428,0.0047247666,0.0027898122,0.0027728558,0.032197304],"category_scores_gemma":[0.23068608,0.0013784571,0.005684918,0.0042758384,0.004851283,0.008461295,0.0036323762,0.004475521,0.0036987225],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006554859,0.0022078925,0.46362782,0.0011115574,0.009662238,0.0015752388,0.0051378314,0.04958994,0.011214299,0.13222788,0.017158613,0.29993188],"study_design_scores_gemma":[0.0008691176,0.0028439225,0.28639472,0.0004412857,0.0013923844,0.0009703728,0.0070620873,0.44992396,0.006415207,0.23664773,0.006353657,0.00068563764],"about_ca_topic_score_codex":0.00291731,"about_ca_topic_score_gemma":0.0026377612,"teacher_disagreement_score":0.033750407,"about_ca_system_score_codex":0.0012049037,"about_ca_system_score_gemma":0.0038874242,"threshold_uncertainty_score":0.1784913},"labels":[],"label_agreement":null},{"id":"W4313229218","doi":"10.2139/ssrn.4307274","title":"Capital Structure with Information about the Upside and the Downside","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Downside risk; Business; Capital structure; Finance; Portfolio","score_opus":0.004772208221524322,"score_gpt":0.16145539282325963,"score_spread":0.1566831846017353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313229218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90961945,0.0010393519,0.034653664,0.0037824505,0.00012559451,0.00007183181,0.005524038,0.00013258176,0.04505107],"genre_scores_gemma":[0.9913918,0.00033968152,0.0011954816,0.00009630768,0.00011442144,0.000009508717,0.00080647966,0.000011145362,0.0060352357],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996063,0.00006713457,0.000034829987,0.00010031099,0.000096927746,0.00009456511],"domain_scores_gemma":[0.9916089,0.004187325,0.0025309965,0.0007382713,0.0005120309,0.00042242295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009749904,0.00043517898,0.0007641187,0.0010025664,0.00031485432,0.002381818,0.0005974279,0.0015473762,0.01372341],"category_scores_gemma":[0.010314631,0.0005002813,0.00034029485,0.0010826023,0.0006993515,0.005108104,0.00074075017,0.0014148612,0.0013366994],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027051002,0.00066166336,0.33234647,0.0004939342,0.00042377802,0.0030347996,0.00067022245,0.2535378,0.004400117,0.24155618,0.028088769,0.13208117],"study_design_scores_gemma":[0.00016470447,0.00045938368,0.19387929,0.00012732571,0.0002696726,0.0007141409,0.00033282058,0.24420406,0.0032607957,0.5473361,0.009124585,0.0001270557],"about_ca_topic_score_codex":0.0028157441,"about_ca_topic_score_gemma":0.004138959,"teacher_disagreement_score":0.01372341,"about_ca_system_score_codex":0.00065496686,"about_ca_system_score_gemma":0.0004891255,"threshold_uncertainty_score":0.045909345},"labels":[],"label_agreement":null},{"id":"W4313332456","doi":"10.1108/jrf-07-2022-0179","title":"The Russia–Ukraine conflict and foreign stocks on the US market","year":2022,"lang":"en","type":"article","venue":"The Journal of Risk Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Stock market; Capital market; Politics; Economics; Event study; Quality (philosophy); Stock (firearms); Business; Financial economics; Market economy; Monetary economics; Finance; Political science","score_opus":0.02039627070782505,"score_gpt":0.19937475889977757,"score_spread":0.17897848819195253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313332456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99874145,0.00011816315,0.000022606397,0.00012877685,0.000004423904,0.0000022234733,0.000053608816,9.5009705e-7,0.00092785317],"genre_scores_gemma":[0.99964714,0.00006756103,0.000017271039,0.00003431437,0.0000072222724,0.0000011471121,0.000082628285,7.536403e-7,0.00014197959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972683,0.00006297487,0.00003434313,0.00003723704,0.00006952518,0.000069160466],"domain_scores_gemma":[0.9946485,0.0009536302,0.0035124745,0.0001506371,0.00031914943,0.00041553585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064151787,0.00011256915,0.00017878726,0.0006482286,0.00029513604,0.0015770032,0.00015324687,0.00026933764,0.0018516241],"category_scores_gemma":[0.0040448415,0.00006733581,0.00022682094,0.00071419,0.0003567128,0.0008196723,0.0007221592,0.0004992811,0.00014777589],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017918945,0.00008456943,0.9919518,0.000019204697,0.00006432047,0.00014981581,0.0005994106,0.0003427722,0.000359733,0.0005026964,0.00029302566,0.005453482],"study_design_scores_gemma":[0.0000030511808,0.00004735635,0.998002,0.000009177786,0.000010928543,0.000040280942,0.00088462,0.0003650382,0.0001547244,0.00015565267,0.00032287682,0.0000042118345],"about_ca_topic_score_codex":0.0058060763,"about_ca_topic_score_gemma":0.0055424585,"teacher_disagreement_score":0.0058060763,"about_ca_system_score_codex":0.00059773825,"about_ca_system_score_gemma":0.0003026746,"threshold_uncertainty_score":0.011544585},"labels":[],"label_agreement":null},{"id":"W4313410915","doi":"10.3390/jrfm15120618","title":"The Relationship between Managers’ Disclosure Tone and the Trading Volume of Investors","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tone (literature); Business; Stock (firearms); Monetary economics; Financial economics; Accounting; Economics; Linguistics","score_opus":0.025344926535501407,"score_gpt":0.213138471692093,"score_spread":0.18779354515659158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313410915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973515,0.00021896462,0.00031965013,0.00009927261,0.0000076501055,0.0000074248264,0.00011226041,0.0000034631344,0.0018798746],"genre_scores_gemma":[0.9994404,0.00007994454,0.00014197758,0.000015997508,0.00001856625,0.0000040120985,0.000094156276,8.550825e-7,0.00020409939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883753,0.0002693779,0.00023291535,0.00013263107,0.00044067574,0.00008692328],"domain_scores_gemma":[0.9547256,0.018009624,0.023431538,0.0010752837,0.0018695031,0.0008884579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001551279,0.00017646578,0.00018315829,0.0012483151,0.0002105391,0.0012421777,0.00020017734,0.00033841774,0.001441833],"category_scores_gemma":[0.021550344,0.000102993545,0.00016072963,0.0011477624,0.00032131153,0.0010514741,0.00057359907,0.00042706556,0.00020580401],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008628723,0.000035814668,0.9881274,0.000025719723,0.000055207656,0.00006691667,0.0004135661,0.00019920668,0.0005973491,0.0003116326,0.00011966299,0.009961214],"study_design_scores_gemma":[0.0000054420216,0.00008245581,0.9967303,0.000012681613,0.000037064652,0.00013029687,0.0005036178,0.0010298527,0.00047314388,0.0005502265,0.0004350521,0.000009785994],"about_ca_topic_score_codex":0.0006514048,"about_ca_topic_score_gemma":0.00095208565,"teacher_disagreement_score":0.001551279,"about_ca_system_score_codex":0.00031085697,"about_ca_system_score_gemma":0.00018068166,"threshold_uncertainty_score":0.0082041025},"labels":[],"label_agreement":null},{"id":"W4313572981","doi":"10.3390/jrfm16010034","title":"Cross-Section of Returns, Predictors Credibility, and Method Issues","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Credibility; Predictability; Section (typography); Replication (statistics); Econometrics; Computer science; Affect (linguistics); Empirical research; Economics; Actuarial science; Statistics; Political science; Psychology; Law; Mathematics","score_opus":0.0233953402756491,"score_gpt":0.26718758627076583,"score_spread":0.24379224599511673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313572981","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036513362,0.012899507,0.88263184,0.039528687,0.0039150524,0.0009713389,0.000879482,0.00058458606,0.022076122],"genre_scores_gemma":[0.5676187,0.0060815685,0.39638984,0.009158005,0.00607397,0.0029270463,0.00072673266,0.000623785,0.01040034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.7914261,0.16523853,0.011481965,0.009860725,0.020860318,0.0011324113],"domain_scores_gemma":[0.25662178,0.64999545,0.017757433,0.04952892,0.025337463,0.00075893186],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.24179903,0.00090243464,0.0016931044,0.0048616235,0.0015719015,0.0071231285,0.0060856156,0.00302904,0.006806677],"category_scores_gemma":[0.6323216,0.000641738,0.0023784493,0.006400794,0.0066970205,0.0065268953,0.0031728544,0.004256179,0.0014972513],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006596372,0.00030343354,0.09211209,0.001692598,0.0014742708,0.0011319323,0.003163201,0.009787366,0.0009993993,0.47194403,0.026627904,0.39010406],"study_design_scores_gemma":[0.00031037806,0.000594572,0.05997284,0.0040884,0.0009331121,0.0029803668,0.0025859328,0.07517989,0.007585443,0.7706334,0.07473958,0.00039615703],"about_ca_topic_score_codex":0.0034380436,"about_ca_topic_score_gemma":0.0022602903,"teacher_disagreement_score":0.24179903,"about_ca_system_score_codex":0.0020682663,"about_ca_system_score_gemma":0.0028135718,"threshold_uncertainty_score":0.9349968},"labels":[],"label_agreement":null},{"id":"W4313593893","doi":"10.1016/j.jempfin.2022.12.013","title":"Option price implied information and REIT returns","year":2023,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Real estate investment trust; Predictability; Financial economics; Economics; Stock (firearms); Real estate; Finance","score_opus":0.05039750696350457,"score_gpt":0.27354025630301176,"score_spread":0.2231427493395072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313593893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89156294,0.002784612,0.076169685,0.0060351016,0.00014759619,0.00003742779,0.0010732769,0.00041803668,0.021771219],"genre_scores_gemma":[0.99039054,0.0005673554,0.0016835826,0.00010291803,0.0001168025,0.000009037679,0.00032251864,0.000047464917,0.0067597106],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992429,0.00023316547,0.00006432538,0.00012379605,0.00018603068,0.00014982394],"domain_scores_gemma":[0.9533614,0.035040516,0.0066253864,0.00262273,0.0014170415,0.0009327792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040625236,0.00075891695,0.001107214,0.0014055837,0.00040429432,0.0043443637,0.0016086226,0.0031613219,0.013247433],"category_scores_gemma":[0.05850181,0.0007063639,0.00068009656,0.0016270269,0.0013616639,0.010394101,0.0010904154,0.0042451797,0.0011309518],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013327597,0.000548681,0.05221744,0.00031939396,0.00023851261,0.0024141448,0.00084216095,0.1738751,0.002883883,0.6915821,0.0063715405,0.067374215],"study_design_scores_gemma":[0.000088676185,0.00014167184,0.026660549,0.00007037532,0.00011445112,0.0006016507,0.00019098121,0.4951476,0.0015441438,0.47366267,0.0016682702,0.00010892668],"about_ca_topic_score_codex":0.0018106486,"about_ca_topic_score_gemma":0.001672771,"teacher_disagreement_score":0.013247433,"about_ca_system_score_codex":0.0009673563,"about_ca_system_score_gemma":0.0004349679,"threshold_uncertainty_score":0.044317067},"labels":[],"label_agreement":null},{"id":"W4315487100","doi":"10.3390/jrfm16010043","title":"A New Measure for Idiosyncratic Risk Based on Decomposition Method","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Higher Education, Malaysia","keywords":"Diversification (marketing strategy); Systematic risk; Portfolio; Measure (data warehouse); Asset (computer security); Econometrics; Capital asset pricing model; Financial economics; Decomposition; Economics; Business; Computer science; Data mining; Marketing","score_opus":0.020330808793481526,"score_gpt":0.24652806478058256,"score_spread":0.22619725598710103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315487100","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021127108,0.00035915157,0.9766018,0.00013097744,0.000081409074,0.000034688295,0.00027157564,0.00014694639,0.0012463081],"genre_scores_gemma":[0.4069393,0.0008891139,0.58757347,0.00016895014,0.00034557882,0.00025636042,0.0013982602,0.00025352722,0.002175353],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966703,0.0013227802,0.00029580054,0.0005070988,0.0010086239,0.00019543464],"domain_scores_gemma":[0.99050516,0.00415781,0.0019448496,0.0014097361,0.0016008733,0.0003815721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003995467,0.0010144723,0.00093020394,0.0036304425,0.00030039376,0.0018104927,0.0008317647,0.0009034377,0.0018366745],"category_scores_gemma":[0.020557646,0.00032433966,0.0010438696,0.002618661,0.0007197641,0.003160581,0.0017929776,0.001994946,0.00060054124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037697706,0.00027916997,0.06728417,0.00047720535,0.0007778475,0.00041216685,0.000753636,0.1376397,0.028467834,0.28661975,0.008260131,0.4686514],"study_design_scores_gemma":[0.000052155556,0.00035760473,0.041757762,0.00022463306,0.00018325083,0.0009245555,0.00020972673,0.76370656,0.007324694,0.1701252,0.014865992,0.0002677909],"about_ca_topic_score_codex":0.0006371554,"about_ca_topic_score_gemma":0.00033982442,"teacher_disagreement_score":0.003995467,"about_ca_system_score_codex":0.00053580606,"about_ca_system_score_gemma":0.0006357851,"threshold_uncertainty_score":0.021130264},"labels":[],"label_agreement":null},{"id":"W4315702607","doi":"10.1007/s11142-022-09748-3","title":"Earnings prediction with DuPont components and calibration by life cycle","year":2023,"lang":"en","type":"article","venue":"Review of Accounting Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"","keywords":"Corporate finance; Accounting; Profit margin; Calibration; Hedge fund; Leverage (statistics); Retained earnings; Asset turnover; Earnings; Econometrics; Actuarial science; Business; Equity (law); Economics; Finance; Return on assets; Dividend; Computer science; Stock exchange; Statistics","score_opus":0.03350124950984307,"score_gpt":0.2424828254644262,"score_spread":0.20898157595458314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315702607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70534104,0.011122442,0.26698747,0.001509111,0.00038033945,0.00017365265,0.0021610134,0.0011943142,0.011130666],"genre_scores_gemma":[0.9738772,0.0022891962,0.017672407,0.000099187535,0.00013843736,0.000038774742,0.0017241028,0.00008058777,0.004080151],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934596,0.00016332451,0.000037271024,0.00021453068,0.00015916844,0.00007977158],"domain_scores_gemma":[0.99585104,0.0019950161,0.0006193113,0.00066633377,0.0007523019,0.00011597882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036190795,0.0010473436,0.00087991887,0.002392341,0.00041751435,0.0019746432,0.0015762277,0.001407422,0.0019865164],"category_scores_gemma":[0.012449337,0.0006254942,0.0009229682,0.0024516468,0.00061868946,0.002888073,0.00080448284,0.0013013794,0.0008489516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052631536,0.00023984075,0.19732231,0.00019591088,0.0005238986,0.00025941242,0.00017056301,0.49451083,0.0013905814,0.031840388,0.0067671323,0.26625273],"study_design_scores_gemma":[0.000021542965,0.000048099144,0.051946,0.000058557507,0.0000868922,0.00007941613,0.00003307811,0.9252152,0.0013087346,0.018892648,0.0022592773,0.000050524897],"about_ca_topic_score_codex":0.017044015,"about_ca_topic_score_gemma":0.009527618,"teacher_disagreement_score":0.017044015,"about_ca_system_score_codex":0.0012204453,"about_ca_system_score_gemma":0.0008011414,"threshold_uncertainty_score":0.03388959},"labels":[],"label_agreement":null},{"id":"W4315853507","doi":"10.3390/jrfm16010047","title":"The Governance and Disclosure of IFRS 9 Economic Scenarios","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Benchmarking; Transparency (behavior); Corporate governance; Accounting; Business; Volatility (finance); Economic governance; Financial stability; Financial market; Finance; Financial system; Political science","score_opus":0.01016497503656739,"score_gpt":0.19130235477117086,"score_spread":0.18113737973460348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315853507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8673078,0.00044652072,0.06868495,0.010610142,0.00022482265,0.00035858506,0.0012838474,0.00042662863,0.050656654],"genre_scores_gemma":[0.9951055,0.00009314821,0.00392792,0.00010318142,0.000014152574,0.000047277168,0.00022287101,0.000013559158,0.0004724244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9805611,0.013873492,0.00086788915,0.00085558795,0.0028273999,0.0010145616],"domain_scores_gemma":[0.9527874,0.022102954,0.011065482,0.008036506,0.004986531,0.00102102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024375416,0.00042135033,0.00043805852,0.0013206796,0.0010466679,0.005169769,0.001010765,0.0017862677,0.001947922],"category_scores_gemma":[0.08655125,0.00033129504,0.0003591421,0.0015150202,0.0015414321,0.004350275,0.0027091855,0.0019429567,0.00029731035],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008721278,0.0003061813,0.09445976,0.00018939884,0.00023061523,0.0018207172,0.003867386,0.4237754,0.0034428223,0.37250343,0.013683269,0.08484892],"study_design_scores_gemma":[0.00009770118,0.00035797112,0.05849792,0.0003567288,0.00007322325,0.0005299785,0.005344901,0.6431185,0.006243863,0.25690174,0.028238395,0.00023913247],"about_ca_topic_score_codex":0.0031949177,"about_ca_topic_score_gemma":0.0022096122,"teacher_disagreement_score":0.024375416,"about_ca_system_score_codex":0.0021123295,"about_ca_system_score_gemma":0.0023214025,"threshold_uncertainty_score":0.12891108},"labels":[],"label_agreement":null},{"id":"W4316494548","doi":"10.1017/asb.2022.26","title":"Portfolio performance under benchmarking relative loss and portfolio insurance: From omega ratio to loss aversion","year":2023,"lang":"en","type":"article","venue":"Astin Bulletin","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Portfolio; Benchmark (surveying); Benchmarking; Loss aversion; Constraint (computer-aided design); Economics; Econometrics; Mathematical optimization; Computer science; Asset allocation; Mathematics; Microeconomics; Finance","score_opus":0.021383839729256903,"score_gpt":0.20770829687763584,"score_spread":0.18632445714837895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316494548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62211126,0.0008057237,0.36483648,0.00076632603,0.0000493741,0.000072021496,0.00010500734,0.00013864248,0.011115172],"genre_scores_gemma":[0.9931445,0.00009011999,0.0061412733,0.000029201812,0.000007830205,0.000016104548,0.000023791381,0.000012464966,0.0005348061],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979924,0.001199165,0.000071270115,0.000194423,0.0002870425,0.00025574683],"domain_scores_gemma":[0.9937164,0.0037710813,0.001310865,0.0004105036,0.0004235558,0.00036749747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063665533,0.00078980124,0.00094573305,0.0007606268,0.00021470834,0.0017598649,0.00084970705,0.00089557684,0.001403437],"category_scores_gemma":[0.020089231,0.00022544665,0.00046393237,0.00065836986,0.0012854192,0.0025684214,0.0013927501,0.0010555178,0.00012820106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022835475,0.000119003475,0.0026482884,0.00008195174,0.00006565043,0.00019060276,0.000052387128,0.8960866,0.0020707413,0.08671473,0.0005028332,0.011238841],"study_design_scores_gemma":[0.000016931433,0.00019066218,0.0014043741,0.000019971842,0.000015738467,0.000040964747,0.000038796115,0.9744047,0.0010490908,0.022636887,0.00016383025,0.000018163337],"about_ca_topic_score_codex":0.001126216,"about_ca_topic_score_gemma":0.0004431494,"teacher_disagreement_score":0.0063665533,"about_ca_system_score_codex":0.0011887024,"about_ca_system_score_gemma":0.0007196221,"threshold_uncertainty_score":0.03366995},"labels":[],"label_agreement":null},{"id":"W4317035185","doi":"10.54932/bjce8546","title":"Test for Trading Costs Effect in a Portfolio Selection Problem with Recursive Utility","year":2023,"lang":"en","type":"report","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Stantec (Canada); Université du Québec à Montréal","funders":"","keywords":"Transaction cost; Portfolio; Selection (genetic algorithm); Test (biology); Econometrics; Sample (material); Empirical research; Economics; Trading strategy; Computer science; Financial economics; Microeconomics; Mathematics; Statistics; Artificial intelligence","score_opus":0.0703680820255957,"score_gpt":0.2805581514997786,"score_spread":0.2101900694741829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317035185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6285864,0.00029113,0.36783397,0.0008785607,0.000044808192,0.0001789003,0.00032601657,0.00035670027,0.0015035504],"genre_scores_gemma":[0.95846945,0.000121729376,0.039418653,0.00011306319,0.00005486679,0.00013612634,0.0005198405,0.000043219396,0.0011230005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98986924,0.0073777917,0.00044671286,0.0009952253,0.0008166899,0.0004943821],"domain_scores_gemma":[0.84538615,0.14429685,0.0050261156,0.0031027729,0.0014115239,0.00077658216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015665157,0.0009998493,0.002106928,0.0014897529,0.0005036547,0.0017660325,0.0016824892,0.0017382147,0.0033580414],"category_scores_gemma":[0.091400154,0.000468991,0.00106345,0.0014067334,0.0014242186,0.0022392853,0.0015455384,0.002245193,0.0002446535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014141897,0.00093479455,0.30658075,0.00031340524,0.0020839951,0.0015472706,0.00046824117,0.41460362,0.004234394,0.11897069,0.0024275507,0.14642113],"study_design_scores_gemma":[0.00017166046,0.0004562726,0.03136102,0.000018545747,0.00016718845,0.00014516736,0.00012197882,0.9328196,0.002019478,0.032183792,0.00049308507,0.000042129275],"about_ca_topic_score_codex":0.0045158807,"about_ca_topic_score_gemma":0.0024408533,"teacher_disagreement_score":0.015665157,"about_ca_system_score_codex":0.0007753695,"about_ca_system_score_gemma":0.0017381725,"threshold_uncertainty_score":0.082846284},"labels":[],"label_agreement":null},{"id":"W4317696783","doi":"10.1057/s41260-022-00301-0","title":"Fund family versus mutual fund performance: evidence from the Indian investors’ perspective","year":2023,"lang":"en","type":"article","venue":"Journal of Asset Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Open-end fund; Fund of funds; Closed-end fund; Fund administration; Sovereign wealth fund; Income fund; Mutual fund; Manager of managers fund; Hedge fund; Target date fund; Business; Finance; Perspective (graphical); Investment fund; Feeder fund; Institutional investor; Economics; Microeconomics; Corporate governance; Computer science","score_opus":0.15533310761876468,"score_gpt":0.28738082009957006,"score_spread":0.13204771248080538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317696783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811452,0.0010563177,0.000059902675,0.0013248477,0.000010427707,0.0000035306145,0.00018220037,0.0000052125683,0.01621238],"genre_scores_gemma":[0.99945086,0.00020196583,0.000008399568,0.00003695165,0.000011367563,5.7931373e-7,0.0000279109,9.239996e-7,0.0002609876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904233,0.0003115857,0.000051777944,0.00006977831,0.00023107501,0.0002934803],"domain_scores_gemma":[0.981709,0.006387309,0.007728682,0.00055610936,0.0016129654,0.002005881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017750468,0.00014373042,0.00025113818,0.0022591806,0.00084514875,0.0025051974,0.0005096005,0.0006047339,0.005027195],"category_scores_gemma":[0.01452303,0.00007172861,0.0003425685,0.0034131033,0.0014120506,0.0013684644,0.0011057152,0.0008433774,0.0003304005],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013533927,0.0001802978,0.95491725,0.000084403684,0.00030370042,0.00079744734,0.0037300757,0.00061371346,0.0003241729,0.011089319,0.0017684004,0.024837796],"study_design_scores_gemma":[0.000040907595,0.00020777206,0.9823111,0.0000656987,0.00028344066,0.0007419806,0.009349409,0.00076351245,0.0003662542,0.0023833874,0.0034567306,0.000029746521],"about_ca_topic_score_codex":0.019799113,"about_ca_topic_score_gemma":0.019198935,"teacher_disagreement_score":0.019799113,"about_ca_system_score_codex":0.0013786908,"about_ca_system_score_gemma":0.0009619178,"threshold_uncertainty_score":0.039367735},"labels":[],"label_agreement":null},{"id":"W4317824683","doi":"10.55365/1923.x2022.20.83","title":"A Comparison of Emerging and Developed Economy Portfolio Performance Under COVID-19","year":2022,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Recession; Asset (computer security); Economics; Modern portfolio theory; Asset allocation; Business; Computer science; Financial economics; Macroeconomics","score_opus":0.0706165101278638,"score_gpt":0.2847897270526121,"score_spread":0.21417321692474828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317824683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996214,0.0001661385,0.0008848788,0.000047809983,0.0000036859014,0.000025483923,0.00021881376,0.000006335433,0.0024328972],"genre_scores_gemma":[0.9979266,0.00022139311,0.00064108754,0.0000099388935,0.0000019625472,0.000012686895,0.00046682742,0.0000023834152,0.0007172175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972147,0.00008058168,0.000028021128,0.00003842711,0.000067921064,0.000063511616],"domain_scores_gemma":[0.99885154,0.00023942262,0.00036662605,0.00007856601,0.00033371305,0.00013005058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001558064,0.00028405798,0.00028398164,0.0007573355,0.00019960252,0.0014091199,0.00027781315,0.00026605572,0.0009992203],"category_scores_gemma":[0.0032808085,0.00008356048,0.00027079214,0.0011930566,0.00022028308,0.0009619907,0.00075574836,0.00027897517,0.0001967799],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002408291,0.0006258766,0.7262014,0.0001981895,0.00038027353,0.0005442574,0.0005724116,0.086447984,0.0057566976,0.0077680815,0.0015695427,0.1675271],"study_design_scores_gemma":[0.00009499892,0.002680263,0.9057707,0.000053512726,0.00017177394,0.00027549686,0.0016053696,0.07259115,0.008527429,0.0032890325,0.0048889434,0.000051210747],"about_ca_topic_score_codex":0.0056916303,"about_ca_topic_score_gemma":0.0056016343,"teacher_disagreement_score":0.0056916303,"about_ca_system_score_codex":0.0009706463,"about_ca_system_score_gemma":0.00076096575,"threshold_uncertainty_score":0.011316955},"labels":[],"label_agreement":null},{"id":"W4318205971","doi":"10.1016/j.jbankfin.2023.106787","title":"How informative are insider trades and analyst recommendations?","year":2023,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Contrarian; Insider trading; Insider; Business; Financial economics; Monetary economics; Affect (linguistics); Complement (music); Momentum (technical analysis); Earnings; Accounting; Economics; Finance; Psychology; Political science; Law","score_opus":0.0503362649006155,"score_gpt":0.2382743386561586,"score_spread":0.1879380737555431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318205971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852905,0.0013715986,0.004449248,0.0015407044,0.000038740414,0.000024901588,0.00047053338,0.00006559181,0.0067482064],"genre_scores_gemma":[0.99848276,0.00025699302,0.0005836638,0.00006884928,0.00006649501,0.000003278988,0.0001772262,0.000007737129,0.00035288034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99591786,0.0016763237,0.00033463398,0.000707277,0.0010192946,0.0003444771],"domain_scores_gemma":[0.71478164,0.22266169,0.04934952,0.006503116,0.0042615463,0.00244253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009154813,0.00039903712,0.000880259,0.0016102692,0.00036184213,0.004002106,0.00060320384,0.0022095554,0.0028872148],"category_scores_gemma":[0.10631227,0.0004606107,0.00042975627,0.001685229,0.00077887456,0.0044722613,0.0006152053,0.0018427847,0.000690811],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096766703,0.00032554512,0.9358219,0.00018269595,0.00087136845,0.00044604955,0.000975322,0.008870306,0.0024945228,0.003679121,0.0011745857,0.044190887],"study_design_scores_gemma":[0.00006607132,0.00049918314,0.93739694,0.00008960378,0.0005639667,0.0006311202,0.001353837,0.04534825,0.0023119247,0.009213636,0.002390495,0.00013504436],"about_ca_topic_score_codex":0.0029100925,"about_ca_topic_score_gemma":0.0035652893,"teacher_disagreement_score":0.009154813,"about_ca_system_score_codex":0.000611132,"about_ca_system_score_gemma":0.0006120892,"threshold_uncertainty_score":0.04841584},"labels":[],"label_agreement":null},{"id":"W4318253505","doi":"10.2139/ssrn.3536023","title":"The Other Invisible Hand: How Markets - As Institutions - Propagate Conformity and Valuation Errors","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Conformity; Valuation (finance); Business; Financial economics; Economics; Political science; Law; Accounting","score_opus":0.04089287290143845,"score_gpt":0.24831030619450908,"score_spread":0.20741743329307064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318253505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4321054,0.00096363475,0.33533794,0.043840602,0.0013766974,0.00009980303,0.0004560835,0.0010911786,0.18472877],"genre_scores_gemma":[0.9835421,0.0001897878,0.0080231065,0.00081785483,0.00023268462,0.000017457372,0.000038919778,0.00017614312,0.006961947],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970528,0.0013083736,0.00015382681,0.0005592364,0.00069644966,0.00022925463],"domain_scores_gemma":[0.9612845,0.02078455,0.004864435,0.0088396035,0.0031782843,0.0010486128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057241125,0.0003017684,0.0005129588,0.0015485429,0.0011074672,0.007953303,0.0011211844,0.0032199689,0.015325749],"category_scores_gemma":[0.07009246,0.0004488101,0.0004909685,0.001362219,0.0064658476,0.014259517,0.004020845,0.00381794,0.001610398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001459533,0.00013157456,0.010387342,0.000059051228,0.00012282803,0.00034023562,0.0033551643,0.007344731,0.002635722,0.9221232,0.0044892966,0.048864957],"study_design_scores_gemma":[0.000032262382,0.000036557023,0.0032862858,0.00004405491,0.000040426126,0.00011525639,0.00079146563,0.012924172,0.0013778784,0.9765029,0.004810583,0.00003815424],"about_ca_topic_score_codex":0.001483685,"about_ca_topic_score_gemma":0.0008280393,"teacher_disagreement_score":0.015325749,"about_ca_system_score_codex":0.0007432742,"about_ca_system_score_gemma":0.0010347294,"threshold_uncertainty_score":0.05126977},"labels":[],"label_agreement":null},{"id":"W4318311856","doi":"10.5539/ijef.v15n2p26","title":"Herd Behaviour of Pension Funds by Asset Class","year":2023,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Global assets under management; Herding; Asset allocation; Pension; Bond; Real estate; Financial crisis; Asset (computer security); Business; Alternative investment; Bond market; Portfolio; Economics; Equity (law); Stock market; Fund of funds; Finance; Institutional investor; Market liquidity","score_opus":0.031979908746466286,"score_gpt":0.238257599197995,"score_spread":0.20627769045152872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318311856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974516,0.00032237358,0.00021716041,0.000048978403,0.0000029928863,0.0000075929547,0.0012131264,0.000005094908,0.0007310623],"genre_scores_gemma":[0.9976419,0.00015358956,0.00011536725,0.000010774387,0.000004274962,0.000008120826,0.0012142184,0.0000021328738,0.0008496014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970263,0.00005329845,0.00003780731,0.00006466911,0.00005980248,0.00008178007],"domain_scores_gemma":[0.99846965,0.00031594807,0.00091847405,0.000087432076,0.000106629566,0.00010176285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007539942,0.00011565061,0.00026525583,0.0009384754,0.0001677394,0.00067974307,0.00025577247,0.0002798028,0.002569086],"category_scores_gemma":[0.0037807385,0.00011816345,0.0003123489,0.0007732294,0.00015407134,0.0006462252,0.00041347963,0.00020463877,0.00039150266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062484076,0.000022988648,0.98573524,0.000028844292,0.0000867921,0.00008476725,0.000594863,0.00049878005,0.0002479192,0.00013538034,0.0006274234,0.011874609],"study_design_scores_gemma":[0.000002178973,0.00003749586,0.99634415,0.000019711428,0.000023565743,0.00010322516,0.0005853711,0.0011322252,0.000107507956,0.0000639537,0.0015755779,0.00000517264],"about_ca_topic_score_codex":0.027663331,"about_ca_topic_score_gemma":0.030233314,"teacher_disagreement_score":0.027663331,"about_ca_system_score_codex":0.00068063766,"about_ca_system_score_gemma":0.00017485216,"threshold_uncertainty_score":0.055004597},"labels":[],"label_agreement":null},{"id":"W4318577168","doi":"10.2139/ssrn.4320610","title":"Bond Investments Under Low Interest Rates: Evidence from Corporate Bond Mutual Fund Flows","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Bond; Corporate bond; Mutual fund; Business; Interest rate; Financial system; Closed-end fund; Monetary economics; Economics; Financial economics; Finance; Market liquidity","score_opus":0.110785244884129,"score_gpt":0.2658592040084542,"score_spread":0.1550739591243252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318577168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946017,0.0005347466,0.00015153876,0.0003223299,0.0000066388416,0.0000075731095,0.00031708757,0.000008256202,0.0040501487],"genre_scores_gemma":[0.99783,0.0006168878,0.00008238728,0.00004527329,0.0000355705,0.000005364446,0.0005764412,0.000004874193,0.00080315594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988887,0.00047231402,0.00008445509,0.00011772656,0.00027465465,0.0001621138],"domain_scores_gemma":[0.9566745,0.017416544,0.020368008,0.0016625737,0.0024391043,0.0014393467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038891512,0.00021063931,0.0003510537,0.0013841518,0.00054662,0.001987166,0.0005419878,0.000990162,0.0032207342],"category_scores_gemma":[0.028674766,0.00021788778,0.00019754842,0.0013351191,0.0008396836,0.0016472507,0.0008192897,0.0011579032,0.0008434621],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040689013,0.00079435046,0.9263446,0.0002025241,0.0003207364,0.00037713567,0.0015166062,0.0017075364,0.0017087248,0.011169601,0.0042962497,0.047493014],"study_design_scores_gemma":[0.00027944488,0.0007581873,0.9806512,0.00010035436,0.0003053561,0.0003542353,0.0015031788,0.0023549132,0.002035591,0.0045843623,0.007043524,0.000029708435],"about_ca_topic_score_codex":0.004698499,"about_ca_topic_score_gemma":0.003619506,"teacher_disagreement_score":0.004698499,"about_ca_system_score_codex":0.00050030055,"about_ca_system_score_gemma":0.00037057322,"threshold_uncertainty_score":0.020568073},"labels":[],"label_agreement":null},{"id":"W4318586808","doi":"10.1108/qrfm-04-2021-0057","title":"Tunisian corporate bond market liquidity: a qualitative approach","year":2023,"lang":"en","type":"article","venue":"Qualitative Research in Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Hearst; École Nationale d'Administration Publique","funders":"","keywords":"Market liquidity; Corporate bond; Bond; Bond market; Secondary market; Stock exchange; Primary market; Business; Originality; Financial market; Stock market; Emerging markets; Qualitative research; Accounting; Economics; Financial system; Finance; Financial economics; Context (archaeology); Sociology","score_opus":0.38840275793717677,"score_gpt":0.43784081516747825,"score_spread":0.04943805723030148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318586808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94662774,0.0025308304,0.0125895245,0.009812865,0.00022255923,0.0020475457,0.0009809852,0.00004996542,0.025138],"genre_scores_gemma":[0.98073876,0.0013316786,0.0055353288,0.0015809438,0.00003324832,0.002024913,0.00015773429,0.00002228575,0.008575158],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9951905,0.0036941527,0.00010177475,0.0002527468,0.0002742193,0.00048667693],"domain_scores_gemma":[0.9942333,0.003955678,0.00046267253,0.00016551766,0.0007861567,0.00039667543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010210365,0.00050167897,0.00048532698,0.0021039955,0.006134887,0.0028958486,0.0009910294,0.0009752129,0.0069279517],"category_scores_gemma":[0.008469284,0.00029389717,0.00027280822,0.0017371798,0.006062353,0.0028214683,0.0033272917,0.0012852455,0.00036716892],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069687565,0.00005401213,0.0030566095,0.0005631302,0.000005514267,0.00087227207,0.9691073,0.00013788363,0.0011954186,0.00917688,0.0018287846,0.013932522],"study_design_scores_gemma":[0.0000071854865,0.00003343374,0.0014327136,0.0004739243,0.000003784644,0.00018982372,0.9747184,0.0001659464,0.00036172647,0.0017773968,0.02082505,0.000010757487],"about_ca_topic_score_codex":0.01406532,"about_ca_topic_score_gemma":0.018174333,"teacher_disagreement_score":0.01406532,"about_ca_system_score_codex":0.00932315,"about_ca_system_score_gemma":0.005873895,"threshold_uncertainty_score":0.06764448},"labels":[],"label_agreement":null},{"id":"W4318981450","doi":"10.2139/ssrn.4345640","title":"Disagreement and the Cross Section of Cryptocurrency Returns","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Cryptocurrency; Section (typography); Economics; Financial economics; Econometrics; Business; Computer science; Advertising; Computer security","score_opus":0.01727990298428117,"score_gpt":0.23178431939005523,"score_spread":0.21450441640577406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318981450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98820764,0.0009562123,0.0032403434,0.0012496564,0.000037374615,0.000012403879,0.00027211662,0.000049468388,0.005974888],"genre_scores_gemma":[0.99848527,0.00013736138,0.000069795824,0.000039305858,0.000048214057,0.000003101322,0.00013299168,0.000010164267,0.0010737492],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984439,0.00062696374,0.00009942496,0.00024692307,0.0002386694,0.00034419133],"domain_scores_gemma":[0.88645893,0.087095454,0.015468293,0.004516352,0.0032015305,0.0032594705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008678238,0.00030491955,0.00077414216,0.0018120214,0.00072464935,0.005072266,0.0009469083,0.0022185757,0.010032908],"category_scores_gemma":[0.06006648,0.0004284465,0.00049786794,0.001776066,0.0017125828,0.0044570374,0.0014818967,0.0029127102,0.001388311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026965793,0.00045878318,0.7647336,0.00019808361,0.0009945305,0.0012783161,0.0016384743,0.05580598,0.0032701832,0.13155337,0.007160183,0.030211858],"study_design_scores_gemma":[0.00021408437,0.0005193826,0.652722,0.00012465123,0.0004487185,0.0010340756,0.0024116603,0.16152805,0.0030703526,0.17391968,0.0038188498,0.00018851645],"about_ca_topic_score_codex":0.0024154224,"about_ca_topic_score_gemma":0.0015632586,"teacher_disagreement_score":0.010032908,"about_ca_system_score_codex":0.0010517286,"about_ca_system_score_gemma":0.0003561788,"threshold_uncertainty_score":0.045895457},"labels":[],"label_agreement":null},{"id":"W4319296657","doi":"10.3905/jpm.2023.1.469","title":"Maximizing the Probability to Reach the Goal: An Exploration Exercise in Goal-Based Wealth Management","year":2023,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Portfolio; Variance (accounting); Leverage (statistics); Goal setting; Transaction cost; Economics; Investment strategy; Project portfolio management; Investment management; Econometrics; Microeconomics; Actuarial science; Financial economics; Finance; Computer science; Market liquidity; Project management; Accounting","score_opus":0.060475836728669595,"score_gpt":0.26287047005676917,"score_spread":0.20239463332809957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319296657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7173576,0.004069509,0.24870458,0.0052148965,0.00007125804,0.000310834,0.00021612628,0.0002053086,0.023849932],"genre_scores_gemma":[0.97061634,0.000709817,0.027145574,0.00019893236,0.00003656608,0.000112900525,0.00006366731,0.000020935307,0.0010952953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977119,0.0016356269,0.000056892855,0.00024159031,0.00021968578,0.00013434004],"domain_scores_gemma":[0.9547838,0.041749064,0.0014981334,0.0009368806,0.000534718,0.00049749424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007653707,0.001286858,0.0016956321,0.0009981565,0.0005128622,0.0023114537,0.0010540778,0.0019507395,0.0025585212],"category_scores_gemma":[0.03302694,0.0004333798,0.0009846288,0.001047624,0.0013864698,0.0051837564,0.0018496765,0.002313224,0.00019663978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020704723,0.0018462129,0.03721275,0.0005575567,0.0010452,0.0004357293,0.0010806441,0.5796996,0.0020221085,0.15990898,0.0041525653,0.20996813],"study_design_scores_gemma":[0.00025659095,0.0011698517,0.008229813,0.00017009128,0.00017528314,0.00013792577,0.0003700773,0.79270023,0.001372005,0.19350034,0.0018504217,0.000067334375],"about_ca_topic_score_codex":0.0011172907,"about_ca_topic_score_gemma":0.0010031267,"teacher_disagreement_score":0.007653707,"about_ca_system_score_codex":0.0012935215,"about_ca_system_score_gemma":0.0009380619,"threshold_uncertainty_score":0.040477216},"labels":[],"label_agreement":null},{"id":"W4319924615","doi":"10.3390/jrfm16020106","title":"Surviving Black Swans II: Timing the 2020–2022 Roller Coaster","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Black swan theory; Roller coaster; Negotiation; Economics; Financial economics; Investment (military); Business; Finance; Engineering; Mathematics; Political science","score_opus":0.02152366039388411,"score_gpt":0.20637802698475122,"score_spread":0.1848543665908671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319924615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79762715,0.000966957,0.16311373,0.0070918133,0.0004405299,0.00012989456,0.00062221114,0.00089819945,0.029109608],"genre_scores_gemma":[0.9763756,0.00014530272,0.017363066,0.00047835396,0.00005905638,0.00003577949,0.00031670876,0.0001503164,0.0050759204],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99945325,0.00014855848,0.000019425235,0.00014419765,0.00012784821,0.00010676159],"domain_scores_gemma":[0.99841654,0.00063944975,0.0003345196,0.00019376303,0.00017051862,0.00024514223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026362387,0.000390331,0.0005157792,0.0005319407,0.0009521473,0.0020090453,0.00083883863,0.001291278,0.0045133177],"category_scores_gemma":[0.010114988,0.00028425493,0.0003195845,0.0004629763,0.0009803692,0.0021444182,0.0013635935,0.0014955093,0.00066819874],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016371553,0.00030363104,0.06797633,0.00018911494,0.0002589052,0.0014893013,0.0016071644,0.22557443,0.008619319,0.31947038,0.042588357,0.33028588],"study_design_scores_gemma":[0.00012379215,0.0003923036,0.026840184,0.00009778739,0.00005902751,0.00050950464,0.0016216636,0.71126664,0.0070936508,0.21757664,0.03431768,0.00010118733],"about_ca_topic_score_codex":0.004718349,"about_ca_topic_score_gemma":0.005485655,"teacher_disagreement_score":0.004718349,"about_ca_system_score_codex":0.0010229455,"about_ca_system_score_gemma":0.0010274182,"threshold_uncertainty_score":0.015098572},"labels":[],"label_agreement":null},{"id":"W4319932973","doi":"10.2139/ssrn.4328645","title":"Neuroeconomics Hype or Hope? An Answer","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Neuroeconomics; EconLit; Behavioral economics; Positive economics; Economics; Divergence (linguistics); Variety (cybernetics); Psychology; Political science; Cognitive psychology; Computer science; MEDLINE; Microeconomics; Philosophy; Law","score_opus":0.03160796650725816,"score_gpt":0.23202109346329913,"score_spread":0.20041312695604097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319932973","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027911604,0.015405046,0.0002666999,0.97433305,0.0065832734,0.0000020443888,0.00005232715,0.000008862036,0.0030695782],"genre_scores_gemma":[0.05217913,0.07637832,0.0014530165,0.7324405,0.12520744,0.00005885301,0.0001911814,0.0000631111,0.012028363],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99847895,0.00054349576,0.00011104385,0.00025646147,0.0004467243,0.00016330657],"domain_scores_gemma":[0.97175187,0.018706294,0.0018560219,0.0007615399,0.004285777,0.0026385104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00531469,0.0008173757,0.0011691783,0.0013460667,0.0020294057,0.0055844514,0.0018664888,0.016352741,0.025366364],"category_scores_gemma":[0.03395466,0.00031205363,0.00060673285,0.001081588,0.011531319,0.016279737,0.0048414655,0.022087088,0.006462868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013409881,0.00009610985,0.0009974558,0.0005470869,0.00007680353,0.00042781906,0.00034832524,0.00019411744,0.00014030134,0.23949815,0.700316,0.057223696],"study_design_scores_gemma":[0.00012239799,0.000029069575,0.00078514917,0.0009148413,0.000032426608,0.0003859447,0.001720206,0.0003735084,0.0000697929,0.65615606,0.33936438,0.00004625456],"about_ca_topic_score_codex":0.0015952277,"about_ca_topic_score_gemma":0.0018238437,"teacher_disagreement_score":0.025366364,"about_ca_system_score_codex":0.001773666,"about_ca_system_score_gemma":0.0036445132,"threshold_uncertainty_score":0.084858954},"labels":[],"label_agreement":null},{"id":"W4320015464","doi":"10.2139/ssrn.4323598","title":"Investor Heterogeneity and Negative Skewness in Stock Returns: Evidence from Institutional Investors","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Skewness; Stock (firearms); Institutional investor; Financial economics; Economics; Econometrics; Business; Monetary economics; Geography; Finance; Corporate governance","score_opus":0.0518745266718072,"score_gpt":0.2501940690976088,"score_spread":0.19831954242580158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320015464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99885404,0.00012394678,0.00009136865,0.0000640944,0.0000010619863,0.0000022246063,0.00003769166,0.0000015945388,0.0008239299],"genre_scores_gemma":[0.99978167,0.00005635749,0.000021629236,0.000010920575,0.0000059304357,7.0022736e-7,0.000042942607,6.992811e-7,0.000079131474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994771,0.00018303005,0.00006409621,0.000079058795,0.00010930828,0.0000875243],"domain_scores_gemma":[0.9727173,0.013427875,0.010287141,0.001913161,0.0007685713,0.00088602345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021054246,0.00013944262,0.00027648616,0.0008249532,0.00027660138,0.0011153638,0.0003147841,0.0006207884,0.002789381],"category_scores_gemma":[0.013604688,0.00014549932,0.00023454873,0.0007704356,0.0008784717,0.0008318666,0.00063682,0.00047465065,0.00031729334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010644182,0.00018444243,0.9856426,0.000021478892,0.00018577438,0.00022744475,0.00042582027,0.00038404224,0.0011080814,0.0010248204,0.00017464756,0.009556454],"study_design_scores_gemma":[0.000083778476,0.0001893688,0.9944977,0.000011832198,0.00013349272,0.00036431054,0.000703314,0.0007127482,0.0008087571,0.0020750395,0.00040560195,0.0000140643815],"about_ca_topic_score_codex":0.0018007981,"about_ca_topic_score_gemma":0.0015687443,"teacher_disagreement_score":0.002789381,"about_ca_system_score_codex":0.00021444134,"about_ca_system_score_gemma":0.00014869492,"threshold_uncertainty_score":0.011134684},"labels":[],"label_agreement":null},{"id":"W4320079832","doi":"10.58886/jfi.v8i1.2363","title":"Review of the Psychology of Risk-Taking Behavior for Individual Investors","year":2010,"lang":"en","type":"article","venue":"Journal of Finance Issues","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Order (exchange); Behavioral economics; Psychology; Investment (military); Personality; Behavioural sciences; Finance; Actuarial science; Social psychology; Economics; Political science; Psychotherapist","score_opus":0.06454475264074482,"score_gpt":0.3216138041569909,"score_spread":0.2570690515162461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320079832","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00096531183,0.99303883,0.00068681326,0.0017074771,0.00035743238,0.0000076131023,0.000052300173,0.00000739698,0.0031768768],"genre_scores_gemma":[0.004310739,0.99326307,0.0006570563,0.0004766832,0.00043571685,0.000009335963,0.000056930683,0.0000042111874,0.0007862607],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99953246,0.00013762496,0.000066008295,0.00006299043,0.00017844694,0.00002243437],"domain_scores_gemma":[0.9966324,0.0022510972,0.00028020339,0.00006228301,0.00065761385,0.00011646533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010483424,0.00060768717,0.0010141708,0.0023699359,0.0003548189,0.001075735,0.00062568206,0.00078850664,0.0035243428],"category_scores_gemma":[0.003952545,0.00032890678,0.00038475433,0.0031349103,0.00050496415,0.0014521228,0.00041899557,0.0009778925,0.0012056367],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085478765,0.00008479577,0.0018810915,0.013265612,0.00016278373,0.00014417755,0.00032058987,0.00072312006,0.0009805779,0.0059167077,0.06400509,0.9124299],"study_design_scores_gemma":[0.00002521267,0.0002403316,0.034453463,0.021923613,0.00034830454,0.001795138,0.00055452675,0.00040840634,0.0005462017,0.018219935,0.9214097,0.00007518812],"about_ca_topic_score_codex":0.0034346047,"about_ca_topic_score_gemma":0.0055931304,"teacher_disagreement_score":0.0035243428,"about_ca_system_score_codex":0.00080543477,"about_ca_system_score_gemma":0.0017530207,"threshold_uncertainty_score":0.011790097},"labels":[],"label_agreement":null},{"id":"W4320156020","doi":"10.2139/ssrn.4284441","title":"Ambiguity Loving, Market Participation, and Asset Pricing","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Ambiguity; Business; Capital asset pricing model; Financial economics; Asset (computer security); Economics; Computer science","score_opus":0.016986806955164895,"score_gpt":0.21948836375981923,"score_spread":0.20250155680465434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320156020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9480897,0.0005010429,0.007577664,0.001370048,0.000018554168,0.000017915905,0.000040704475,0.000014402042,0.04236986],"genre_scores_gemma":[0.9988269,0.000061368955,0.00024738038,0.000024233834,0.00001995007,0.000003297104,0.000007314262,0.0000019682163,0.0008075669],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929285,0.0003848867,0.000029934581,0.000061842264,0.00010421645,0.00012630387],"domain_scores_gemma":[0.98621666,0.009751362,0.0020165637,0.0004824863,0.0001870393,0.0013458574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028323466,0.00021319611,0.00039423103,0.000557866,0.00074289646,0.0031034418,0.0003438393,0.0010107948,0.011752993],"category_scores_gemma":[0.01704153,0.00013929271,0.00021428723,0.0005067398,0.0017388652,0.002337412,0.0013139979,0.0012449156,0.00029922667],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021357634,0.0019031259,0.14613774,0.00022207185,0.00020939857,0.0020215083,0.009113519,0.0118171275,0.0064088544,0.70076495,0.0035763623,0.11568952],"study_design_scores_gemma":[0.00013865074,0.00024200702,0.05177251,0.000038459602,0.000048088816,0.0007198221,0.0033704822,0.018055473,0.0005084049,0.9218585,0.0032046936,0.00004297773],"about_ca_topic_score_codex":0.00047751755,"about_ca_topic_score_gemma":0.00039375367,"teacher_disagreement_score":0.011752993,"about_ca_system_score_codex":0.00025534193,"about_ca_system_score_gemma":0.00031201346,"threshold_uncertainty_score":0.039317667},"labels":[],"label_agreement":null},{"id":"W4320496183","doi":"10.3390/jrfm16020113","title":"Value and Contrarian Investment Strategies: Evidence from Indian Stock Market","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Contrarian; Investment strategy; Portfolio; Financial economics; Investment value; Investment (military); Economics; Stock (firearms); Value (mathematics); Stock market; Investment performance; Investment decisions; Growth stock; Business; Return on investment; Monetary economics; Microeconomics; Behavioral economics; Restricted stock; Market liquidity","score_opus":0.023350069444227406,"score_gpt":0.2182550318044666,"score_spread":0.1949049623602392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320496183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831009,0.0031025724,0.00029126534,0.0007853469,0.000016765063,0.000018421268,0.00039998774,0.000010342356,0.012274493],"genre_scores_gemma":[0.9978346,0.0012725295,0.00009051329,0.00008153373,0.000021529793,0.0000027989572,0.0003179399,0.000002380656,0.00037607757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992943,0.00010761712,0.00009732137,0.0000978246,0.0002955676,0.000107371496],"domain_scores_gemma":[0.9869463,0.0044749426,0.006253121,0.0006634528,0.0011491617,0.0005131026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001224154,0.00023838368,0.000296712,0.002711405,0.0005023353,0.0021455605,0.0005870417,0.00045105407,0.0021604237],"category_scores_gemma":[0.008764797,0.0001580031,0.0004931742,0.0034617898,0.00095383293,0.0022529832,0.00088384893,0.00079112436,0.00033575718],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016112727,0.000100710844,0.9624233,0.00016002927,0.00022416543,0.00031915103,0.0008949318,0.00047079963,0.0002628955,0.0051248623,0.001129129,0.028728772],"study_design_scores_gemma":[0.000009923981,0.00006977158,0.99251723,0.000060604845,0.0001577751,0.00019895968,0.0014850263,0.0013099806,0.00023728595,0.0015073176,0.0024271435,0.000018888888],"about_ca_topic_score_codex":0.018800076,"about_ca_topic_score_gemma":0.018196434,"teacher_disagreement_score":0.018800076,"about_ca_system_score_codex":0.00065283146,"about_ca_system_score_gemma":0.00061575964,"threshold_uncertainty_score":0.03738129},"labels":[],"label_agreement":null},{"id":"W4320496416","doi":"10.3390/jrfm16020117","title":"Spot–Futures Price Adjustments in the Nikkei 225: Linear or Smooth Transition? Financial Centre Leadership or Home Bias?","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Anhui Province; Anhui Jianzhu University","keywords":"Futures contract; Price discovery; Economics; Spot contract; Heteroscedasticity; Transaction cost; Econometrics; Market liquidity; Financial crisis; Financial economics; Monetary economics; Microeconomics; Macroeconomics","score_opus":0.06118900338211763,"score_gpt":0.23333895880100197,"score_spread":0.17214995541888434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320496416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99149793,0.00012086917,0.0049726153,0.00015476956,0.000014241251,0.000013406695,0.000087010914,0.00003814582,0.0031010706],"genre_scores_gemma":[0.99867105,0.000038484715,0.00047728056,0.000019292109,0.00000945367,0.000003473452,0.000093241666,0.000007707315,0.0006801354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949706,0.00009034456,0.000036107253,0.00015034806,0.000116863055,0.000109236054],"domain_scores_gemma":[0.9959858,0.0014893863,0.0015278175,0.00042780978,0.0003698519,0.00019926448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019585926,0.00021579258,0.0005242552,0.00053584797,0.000326325,0.0015498099,0.0005487846,0.00048892485,0.0023302985],"category_scores_gemma":[0.008997173,0.00018512546,0.00046703077,0.0006346606,0.0008088852,0.0014706966,0.0010010136,0.001009232,0.00032136208],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012011688,0.00019036705,0.87777674,0.00011500902,0.00037249207,0.0012903385,0.0024607608,0.017519252,0.0056844023,0.026340565,0.0014539285,0.06559488],"study_design_scores_gemma":[0.000053005984,0.00024509904,0.8765538,0.000036363384,0.00014512667,0.00043536365,0.0015346541,0.09694405,0.0048879376,0.01591942,0.003149505,0.00009564135],"about_ca_topic_score_codex":0.0054450124,"about_ca_topic_score_gemma":0.004881309,"teacher_disagreement_score":0.0054450124,"about_ca_system_score_codex":0.00051835336,"about_ca_system_score_gemma":0.00037856173,"threshold_uncertainty_score":0.010826647},"labels":[],"label_agreement":null},{"id":"W4320500666","doi":"10.2991/978-94-6463-042-8_76","title":"Application of a Maverick Stock Capturing Strategy in the Chinese Stock Market","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in computer science research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Stock market; Trading strategy; Financial economics; Stock (firearms); Algorithmic trading; Business; Stock trading; Open outcry; Market maker; Stock market bubble; Alternative trading system; Economics; Geography","score_opus":0.0713628846415521,"score_gpt":0.3328670888276656,"score_spread":0.2615042041861135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320500666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55457616,0.002264124,0.43351454,0.0006562769,0.0001280756,0.00020711366,0.00022592234,0.00082118716,0.007606621],"genre_scores_gemma":[0.89231616,0.0005641423,0.10385837,0.00012110628,0.00005242964,0.00005470017,0.00022819337,0.000034033234,0.0027708842],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996531,0.000086999404,0.00003771282,0.00007350452,0.000116140836,0.000032493557],"domain_scores_gemma":[0.99959165,0.000147972,0.00005912987,0.000057811652,0.0001198563,0.000023631914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073693326,0.000556872,0.0003586573,0.0011345742,0.00025881847,0.0008229931,0.0006328346,0.00038794312,0.00078381517],"category_scores_gemma":[0.0021524213,0.00016234384,0.00035975894,0.00087651354,0.00020798916,0.0011966577,0.00039054913,0.00028837047,0.00015943493],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022057323,0.00024084962,0.07539142,0.00011771031,0.00025171955,0.00062972936,0.0003633918,0.103039786,0.021824343,0.027290924,0.0035254413,0.7671042],"study_design_scores_gemma":[0.0000209881,0.0001332646,0.012461756,0.000012129999,0.000072759445,0.00020920008,0.000070748625,0.97446805,0.0053538466,0.005190356,0.0019756702,0.000031223517],"about_ca_topic_score_codex":0.012811796,"about_ca_topic_score_gemma":0.013225417,"teacher_disagreement_score":0.012811796,"about_ca_system_score_codex":0.00055716775,"about_ca_system_score_gemma":0.00062180933,"threshold_uncertainty_score":0.025474489},"labels":[],"label_agreement":null},{"id":"W4320508968","doi":"10.2991/978-94-6463-036-7_182","title":"Study of Speculative Trading Risks Based on Example of Short Squeezing","year":2022,"lang":"en","type":"book-chapter","venue":"Advances in economics, business and management research/Advances in Economics, Business and Management Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Derivatives market; Systemic risk; Financial market; Business; Leverage (statistics); Position (finance); China; Financial market participants; Financial risk; Finance; Financial system; Indirect finance; Financial crisis; Economics; Futures contract","score_opus":0.14074781336709077,"score_gpt":0.3390332516592491,"score_spread":0.1982854382921583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320508968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.413387,0.019487752,0.25868204,0.00397721,0.0006475312,0.00010652562,0.0004351811,0.00043406987,0.30284265],"genre_scores_gemma":[0.9421764,0.004661685,0.021308975,0.00014531633,0.00021288675,0.000032310305,0.0001722573,0.000056129364,0.0312341],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99989545,0.000026084026,0.0000066384637,0.00002106583,0.00003517915,0.000015521775],"domain_scores_gemma":[0.9995685,0.00024789173,0.00006184033,0.000039705097,0.000047313853,0.000034707482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034949757,0.00034984594,0.00033720137,0.00072020426,0.0005692184,0.0011712366,0.0005708835,0.0006553412,0.0052412306],"category_scores_gemma":[0.0014049801,0.00012572642,0.00047818013,0.00069512345,0.000641245,0.002050412,0.00052955165,0.00094900135,0.00029453394],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074528245,0.000042144497,0.004262071,0.00017022208,0.00003868016,0.0021207656,0.00080223434,0.023085272,0.0027282108,0.9291393,0.006066913,0.031469744],"study_design_scores_gemma":[0.00001806339,0.00010434751,0.007092258,0.00011489418,0.00006920187,0.0028361012,0.000684533,0.32118702,0.0018944846,0.62697875,0.038967323,0.00005312084],"about_ca_topic_score_codex":0.0012838012,"about_ca_topic_score_gemma":0.00076781865,"teacher_disagreement_score":0.0052412306,"about_ca_system_score_codex":0.00043909013,"about_ca_system_score_gemma":0.00023247527,"threshold_uncertainty_score":0.01753372},"labels":[],"label_agreement":null},{"id":"W4320509852","doi":"10.2991/978-94-6463-052-7_83","title":"Psychology Analysis of Investors from the Perspective of Behavioral Finance","year":2022,"lang":"en","type":"book-chapter","venue":"Advances in economics, business and management research/Advances in Economics, Business and Management Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Government of British Columbia","funders":"","keywords":"Overconfidence effect; Behavioral economics; Finance; Economics; Corporate finance; Financial economics; Efficient-market hypothesis; Portfolio; Perspective (graphical); Investment (military); Psychology; Stock market; Social psychology; Political science","score_opus":0.0752751456026442,"score_gpt":0.34608307715777237,"score_spread":0.27080793155512817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320509852","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16636181,0.060970277,0.10094796,0.027169377,0.001096759,0.000090437024,0.00024762395,0.00019835868,0.6429174],"genre_scores_gemma":[0.90803605,0.020321397,0.014305805,0.002015614,0.00080640434,0.000059102345,0.000116819836,0.00002594787,0.054312773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99990046,0.000036476547,0.0000035099713,0.00001822917,0.000027716964,0.000013646561],"domain_scores_gemma":[0.99984014,0.00008653158,0.000019754332,0.0000108391905,0.000024422065,0.000018223169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025170005,0.00024066512,0.0001389335,0.00045849162,0.00021806589,0.0013034727,0.00019765014,0.00043338892,0.0029948985],"category_scores_gemma":[0.00055983895,0.00006201855,0.00016697966,0.00043647937,0.00093354104,0.0015136646,0.00024975775,0.0008595195,0.00027395427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025301402,0.00006190901,0.00690292,0.0001523645,0.000020303394,0.00020753234,0.0014232387,0.001658408,0.0025970049,0.8867382,0.009235838,0.09097695],"study_design_scores_gemma":[0.000010267159,0.00009122074,0.0315438,0.00013678557,0.000043523978,0.0006476411,0.0014377633,0.010944934,0.0012191606,0.8298223,0.12407577,0.000026844204],"about_ca_topic_score_codex":0.000734139,"about_ca_topic_score_gemma":0.0004792351,"teacher_disagreement_score":0.0029948985,"about_ca_system_score_codex":0.0006362501,"about_ca_system_score_gemma":0.00038504455,"threshold_uncertainty_score":0.010018945},"labels":[],"label_agreement":null},{"id":"W4320925601","doi":"10.2139/ssrn.4360085","title":"Extreme Downside Risk in the Cross-Section of Asset Returns","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Economic and Social Research Council","keywords":"Downside risk; Section (typography); Capital asset pricing model; Financial economics; Economics; Business; Portfolio","score_opus":0.03506778102857253,"score_gpt":0.24511487058463874,"score_spread":0.2100470895560662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320925601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95512164,0.0015304243,0.037403397,0.00086174015,0.000042962845,0.000019953415,0.00019252849,0.00013330604,0.004694111],"genre_scores_gemma":[0.9956981,0.00058727217,0.0010081568,0.0000665468,0.00008946913,0.000009634481,0.00016966929,0.000024463397,0.0023466814],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993154,0.00021021138,0.00003694791,0.0001931974,0.00009535487,0.00014897835],"domain_scores_gemma":[0.9834536,0.011855763,0.002056189,0.001033048,0.00064922316,0.00095219404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048334403,0.0004396189,0.0008113613,0.0015277046,0.000347344,0.0021006155,0.00081037654,0.0012208284,0.0053971545],"category_scores_gemma":[0.019918108,0.0006482478,0.0007890062,0.0009676006,0.0014983838,0.0032191884,0.0019303436,0.0020759571,0.0006082779],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060152134,0.0002571744,0.45897198,0.00026378955,0.0008349959,0.004515323,0.0013461552,0.13647236,0.0085009355,0.32943556,0.0051175873,0.05368257],"study_design_scores_gemma":[0.000045079116,0.00030605862,0.352414,0.000151572,0.00028532482,0.0031006532,0.00075137883,0.32875314,0.00221935,0.3092639,0.0025544674,0.00015509379],"about_ca_topic_score_codex":0.0016649632,"about_ca_topic_score_gemma":0.0015006113,"teacher_disagreement_score":0.0053971545,"about_ca_system_score_codex":0.00048360028,"about_ca_system_score_gemma":0.0002861679,"threshold_uncertainty_score":0.025561988},"labels":[],"label_agreement":null},{"id":"W4321020817","doi":"10.2139/ssrn.4358597","title":"On the Anomaly Tilts of Factor Funds","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Anomaly (physics); Factor (programming language); Business; Physics; Computer science","score_opus":0.03039682232779412,"score_gpt":0.21584096329139832,"score_spread":0.1854441409636042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321020817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9411869,0.0010462259,0.030456224,0.006476991,0.00025804003,0.000011114701,0.00019648556,0.00024022177,0.020127766],"genre_scores_gemma":[0.99835783,0.00015724565,0.0005313741,0.00007423078,0.00014210581,0.000002443478,0.000030375273,0.000026040785,0.00067834696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992131,0.00028573442,0.00004336566,0.00013112329,0.00015945038,0.00016722387],"domain_scores_gemma":[0.9900774,0.005434302,0.0019745387,0.0008339739,0.0010095709,0.000670129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002978568,0.00040046428,0.0009711129,0.0012792831,0.0005690546,0.0030300508,0.0008342878,0.0016040449,0.00629291],"category_scores_gemma":[0.03818498,0.00032908493,0.00043193833,0.0009756474,0.0022996748,0.0044021397,0.0012556609,0.002285183,0.00044438758],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008993391,0.00006339851,0.038672216,0.00008214288,0.000088696426,0.00087818963,0.0008295623,0.03491337,0.0052750083,0.85458934,0.007423706,0.056285143],"study_design_scores_gemma":[0.000112419104,0.00012421585,0.028718665,0.000036659207,0.000050206352,0.00036904332,0.00053182314,0.18350796,0.0013596091,0.78262806,0.0024740638,0.000087327935],"about_ca_topic_score_codex":0.0028377655,"about_ca_topic_score_gemma":0.001307505,"teacher_disagreement_score":0.00629291,"about_ca_system_score_codex":0.00090969936,"about_ca_system_score_gemma":0.0004859422,"threshold_uncertainty_score":0.021051884},"labels":[],"label_agreement":null},{"id":"W4321085324","doi":"10.3905/joi.2023.1.256","title":"Portfolio Optimization Techniques for Cryptocurrencies","year":2023,"lang":"en","type":"article","venue":"The Journal of Investing","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada); University of Toronto","funders":"","keywords":"CVAR; Portfolio optimization; Sharpe ratio; Stylized fact; Computer science; Econometrics; Portfolio; Autoregressive conditional heteroskedasticity; Diversification (marketing strategy); Cryptocurrency; Variance (accounting); Asset allocation; Project portfolio management; Expected shortfall; Mathematical optimization; Economics; Mathematics; Finance; Volatility (finance)","score_opus":0.07041362468165169,"score_gpt":0.2551662648801675,"score_spread":0.18475264019851584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321085324","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008526247,0.00044114087,0.9894583,0.00013367312,0.000017359427,0.000027565864,0.00002110575,0.00015650658,0.0012180122],"genre_scores_gemma":[0.38349268,0.0015222225,0.61130285,0.00013834045,0.00010942513,0.0001783005,0.00019898922,0.00027454097,0.002782604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849343,0.00068531395,0.000107828986,0.00018591135,0.00044740742,0.0000800244],"domain_scores_gemma":[0.996384,0.0026389926,0.00032740063,0.000267737,0.00032276986,0.000059165166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045441203,0.000999277,0.001268275,0.0013254503,0.0003782252,0.0015566177,0.0008135015,0.0008360039,0.002000344],"category_scores_gemma":[0.011592766,0.00058521156,0.00080344715,0.0012614802,0.0007873095,0.0019725384,0.0015055736,0.0020137364,0.00040776609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051282477,0.00005338772,0.0008729223,0.00009088116,0.000054254222,0.00005465993,0.000065215434,0.81352407,0.0011970915,0.07470383,0.0008180031,0.108514525],"study_design_scores_gemma":[0.0000078142275,0.000025186751,0.00011056066,0.000013271398,0.0000073539745,0.000021757856,0.0000086033915,0.97787994,0.000504088,0.020720106,0.0006960204,0.0000054164957],"about_ca_topic_score_codex":0.0013348947,"about_ca_topic_score_gemma":0.00097278575,"teacher_disagreement_score":0.0045441203,"about_ca_system_score_codex":0.00092459924,"about_ca_system_score_gemma":0.0010777618,"threshold_uncertainty_score":0.024031937},"labels":[],"label_agreement":null},{"id":"W4321087820","doi":"10.1287/mnsc.2023.4693","title":"Cashflow Timing vs. Discount-Rate Timing: An Examination of Mutual Fund Market-Timing Skills","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Market timing; Mutual fund; Cash flow; Equity (law); Economics; Monetary economics; Investment (military); Value (mathematics); Business; Finance; Initial public offering; Computer science","score_opus":0.06215552489738106,"score_gpt":0.2633897563178821,"score_spread":0.201234231420501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321087820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997474,0.00003221806,0.00019692883,0.000053388227,0.0000015338674,0.000004877392,0.00015230487,0.000009998818,0.0020746656],"genre_scores_gemma":[0.9991806,0.000022957907,0.00017606861,0.000008924813,0.000005467087,0.0000050404706,0.00016866227,0.0000020269738,0.0004302406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994541,0.0001045719,0.00007562029,0.00006228756,0.00019154327,0.000111858826],"domain_scores_gemma":[0.96793705,0.011705644,0.016082618,0.0009761236,0.0011911807,0.002107424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021874479,0.00024457558,0.0001697916,0.00259677,0.00015471024,0.0009155584,0.00027455937,0.00034035873,0.0034274014],"category_scores_gemma":[0.022957003,0.0000873591,0.00019103909,0.0014469677,0.00041431573,0.0013670648,0.000993938,0.00037198642,0.00038940003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011787079,0.00013471785,0.9763124,0.000016743576,0.0000424398,0.000059573067,0.0007490423,0.00067767885,0.0007400411,0.0010782676,0.00047367843,0.019597532],"study_design_scores_gemma":[0.000004644946,0.00011168046,0.9964007,0.000006936173,0.000007721894,0.00006189659,0.00025830592,0.0014870988,0.0005032127,0.0005151251,0.0006341144,0.000008347701],"about_ca_topic_score_codex":0.0029118932,"about_ca_topic_score_gemma":0.003617058,"teacher_disagreement_score":0.0034274014,"about_ca_system_score_codex":0.00040004644,"about_ca_system_score_gemma":0.00037414732,"threshold_uncertainty_score":0.011568487},"labels":[],"label_agreement":null},{"id":"W4321104660","doi":"10.3390/jrfm16020126","title":"Better Not Forget: On the Memory of S&amp;P 500 Survivor Stock Companies","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hurst exponent; Stock (firearms); Long memory; Economics; Econometrics; Rescaled range; Capital asset pricing model; Financial economics; Detrended fluctuation analysis; Statistics; Mathematics; History; Volatility (finance)","score_opus":0.03895286350693522,"score_gpt":0.21856807421297836,"score_spread":0.17961521070604314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321104660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99876344,0.00010509809,0.00020516053,0.0001097158,0.0000021743604,0.000002228218,0.00014548725,0.0000023324635,0.0006643126],"genre_scores_gemma":[0.99944204,0.000078216035,0.00005691043,0.000021552138,0.000010126749,0.0000012452912,0.00013115682,0.0000016573753,0.00025702952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984705,0.000028856562,0.0000149515245,0.000038034035,0.000040578714,0.00003059235],"domain_scores_gemma":[0.9919477,0.0034502936,0.0030508407,0.00055070396,0.00051679456,0.00048371815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069249055,0.00011952767,0.00020451217,0.0009445232,0.00023175115,0.00074411154,0.0003115269,0.00030781556,0.0031544096],"category_scores_gemma":[0.0111810155,0.00008999914,0.00012899064,0.00074333657,0.00054272526,0.0015115228,0.00052710774,0.00045077296,0.00034388207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003193081,0.00009702944,0.9701642,0.000022886145,0.00006834815,0.00026957892,0.0014889359,0.0009654273,0.0012880273,0.0013612293,0.00052558404,0.023429371],"study_design_scores_gemma":[0.0000054569628,0.00013165663,0.992269,0.00001747521,0.000031253476,0.00017605291,0.0011995512,0.0025593056,0.0006904863,0.002077597,0.00082796026,0.000014199442],"about_ca_topic_score_codex":0.0033548991,"about_ca_topic_score_gemma":0.004773439,"teacher_disagreement_score":0.0033548991,"about_ca_system_score_codex":0.00027325648,"about_ca_system_score_gemma":0.00016530864,"threshold_uncertainty_score":0.0105525255},"labels":[],"label_agreement":null},{"id":"W4321201836","doi":"10.1016/j.jeca.2022.e00288","title":"Trader positions and aggregate portfolio demand","year":2023,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Economics; Futures contract; Skewness; Market liquidity; Position (finance); Measure (data warehouse); Econometrics; Replicating portfolio; Financial economics; Distribution (mathematics); Microeconomics; Portfolio optimization; Monetary economics; Computer science; Finance","score_opus":0.029913015344497012,"score_gpt":0.22889286594527294,"score_spread":0.19897985060077594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321201836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99269533,0.00022712424,0.0013408557,0.00073583267,0.000010782321,0.0000035056855,0.0005506435,0.000021251188,0.004414569],"genre_scores_gemma":[0.998049,0.00006734408,0.00007205973,0.00002605379,0.000018313534,0.0000020204695,0.00022393139,0.0000054250113,0.0015358103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997353,0.0000719833,0.00002847289,0.000047188398,0.00005132677,0.00006564869],"domain_scores_gemma":[0.985704,0.009801152,0.0025344247,0.0006049476,0.00046999607,0.0008854472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011758164,0.0002227419,0.00054331636,0.0006105076,0.00031161096,0.0030145727,0.00037634987,0.001374421,0.013375018],"category_scores_gemma":[0.01329813,0.00033388587,0.00030086207,0.0008536092,0.000387206,0.002618224,0.00078137504,0.001225662,0.0019396548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025691665,0.000679889,0.8289612,0.00013050955,0.00030925847,0.0013385135,0.00095136027,0.060106046,0.0075278454,0.05727902,0.005024013,0.035123233],"study_design_scores_gemma":[0.00021947955,0.0004930681,0.7157824,0.000054724762,0.00019125866,0.00105263,0.001609549,0.17993449,0.0020012879,0.095083795,0.003478654,0.00009870751],"about_ca_topic_score_codex":0.0012529388,"about_ca_topic_score_gemma":0.0018143557,"teacher_disagreement_score":0.013375018,"about_ca_system_score_codex":0.00074355124,"about_ca_system_score_gemma":0.00020719566,"threshold_uncertainty_score":0.044743896},"labels":[],"label_agreement":null},{"id":"W4321374612","doi":"10.1017/s0022109023000145","title":"Anomaly Discovery and Arbitrage Trading","year":2023,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Arbitrage; Decile; Price discovery; Hedge fund; Anomaly (physics); Asset (computer security); Financial economics; Aggregate (composite); Econometrics; Economics; Fixed income arbitrage; Monetary economics; Risk arbitrage; Business; Capital asset pricing model; Arbitrage pricing theory; Finance; Computer science; Mathematics; Futures contract; Statistics","score_opus":0.044038928367774725,"score_gpt":0.2557206060041496,"score_spread":0.21168167763637485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321374612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9509964,0.00064486184,0.04178143,0.0023765885,0.000036258312,0.000019834937,0.00013793001,0.00016202866,0.0038446158],"genre_scores_gemma":[0.9985662,0.00008314942,0.0007827616,0.000026715099,0.000019601182,0.0000061940523,0.000031606643,0.0000050446642,0.0004787461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981275,0.0007317064,0.000095183495,0.0003825571,0.00032828772,0.0003347725],"domain_scores_gemma":[0.94366056,0.041090436,0.010589692,0.0023181876,0.0012405973,0.0011005905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051428257,0.00048608487,0.0015726606,0.001116085,0.00069568044,0.0026417347,0.0012048882,0.002515369,0.0024840543],"category_scores_gemma":[0.051027067,0.00050981675,0.00084173266,0.00090532884,0.0030664154,0.0046989005,0.0017413492,0.0028962106,0.0002232492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015469055,0.00047288896,0.11829921,0.00021002801,0.00046417653,0.0021085576,0.0007126576,0.6172623,0.0061216955,0.21939494,0.002351414,0.031055214],"study_design_scores_gemma":[0.00008834496,0.00016326357,0.010231004,0.000016192917,0.00007965236,0.00028419524,0.00008532047,0.8741263,0.0007322742,0.11362277,0.0005185636,0.000052160725],"about_ca_topic_score_codex":0.003911909,"about_ca_topic_score_gemma":0.0016041404,"teacher_disagreement_score":0.0051428257,"about_ca_system_score_codex":0.0014921374,"about_ca_system_score_gemma":0.00087106094,"threshold_uncertainty_score":0.027198195},"labels":[],"label_agreement":null},{"id":"W4321378788","doi":"10.1016/j.intfin.2023.101755","title":"Cross-border equity flows and information transmission: Evidence from Chinese stock markets","year":2023,"lang":"en","type":"article","venue":"Journal of International Financial Markets Institutions and Money","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Stock (firearms); Mainland China; Equity (law); Economics; Volatility (finance); China; Valuation (finance); Monetary economics; Growth stock; Financial economics; Stock market; Business; Stock market bubble; Finance; Geography","score_opus":0.0368211042634252,"score_gpt":0.33253859929007246,"score_spread":0.29571749502664724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321378788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99716884,0.0004638437,0.00011403411,0.00018100736,0.0000037388102,0.0000097982465,0.00019545839,0.0000030287972,0.0018602702],"genre_scores_gemma":[0.9992188,0.0003417482,0.00003573543,0.00002040696,0.000010430791,0.000002457973,0.00018275254,9.636885e-7,0.00018668057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996629,0.00006617368,0.00003867504,0.000059255737,0.0000891364,0.00008380836],"domain_scores_gemma":[0.9888798,0.0062077153,0.0028864332,0.0005603127,0.00093243644,0.00053335394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001659105,0.0003357588,0.00045326632,0.0018584454,0.0007886998,0.0017656881,0.00065044634,0.0006870038,0.005694143],"category_scores_gemma":[0.007875455,0.00029011467,0.0004170245,0.0022803403,0.0011757592,0.002467409,0.0009624212,0.0007186716,0.00035389833],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012608481,0.0004107987,0.9546071,0.00017601161,0.00043704823,0.00092329545,0.0024374127,0.0024306183,0.0020412733,0.0067373905,0.0010152948,0.027522843],"study_design_scores_gemma":[0.00011365391,0.00013044746,0.99030465,0.00002817658,0.0004084155,0.00009751901,0.0011900183,0.0038935875,0.00093248603,0.0021282823,0.00074652757,0.000026325828],"about_ca_topic_score_codex":0.04198376,"about_ca_topic_score_gemma":0.024912931,"teacher_disagreement_score":0.04198376,"about_ca_system_score_codex":0.00097345514,"about_ca_system_score_gemma":0.0007413844,"threshold_uncertainty_score":0.08347875},"labels":[],"label_agreement":null},{"id":"W4321438919","doi":"10.1016/j.qref.2023.02.007","title":"Outliers and momentum in the corporate bond market","year":2023,"lang":"en","type":"article","venue":"The Quarterly Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Outlier; Momentum (technical analysis); Issuer; Econometrics; Bond; Corporate bond; Diversification (marketing strategy); Economics; Profitability index; Portfolio; Yield (engineering); Financial economics; Business; Mathematics; Statistics; Finance; Physics; Marketing","score_opus":0.03734698628443129,"score_gpt":0.21787475464466252,"score_spread":0.18052776836023124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321438919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9672686,0.0020175453,0.025605744,0.002020134,0.00007750311,0.000035605,0.0005879497,0.00020533352,0.0021815584],"genre_scores_gemma":[0.99499583,0.00040673188,0.0034014685,0.00012672196,0.0001473847,0.000012750623,0.00061846914,0.0000356656,0.00025490063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99696416,0.0011832316,0.00024673188,0.000564461,0.0007272291,0.00031416473],"domain_scores_gemma":[0.9545468,0.028668992,0.010418347,0.0031417778,0.0023276655,0.0008963806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00767151,0.0004327777,0.00076082355,0.0019497669,0.00062025,0.0035146517,0.0005901626,0.0011182463,0.00139896],"category_scores_gemma":[0.06129447,0.00023544449,0.0004461761,0.0026498907,0.0014592682,0.0050053922,0.0010600671,0.0015075627,0.00036705818],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007162014,0.00032933874,0.8075391,0.00016140501,0.00046470214,0.00037114054,0.0009243213,0.024185507,0.0027035088,0.025752962,0.0051369183,0.13171482],"study_design_scores_gemma":[0.00014067677,0.00048195716,0.6575812,0.00029371778,0.00034870268,0.000665386,0.0027637728,0.19999799,0.005536097,0.1215827,0.010470338,0.00013735889],"about_ca_topic_score_codex":0.0025009555,"about_ca_topic_score_gemma":0.002233356,"teacher_disagreement_score":0.00767151,"about_ca_system_score_codex":0.00056667934,"about_ca_system_score_gemma":0.00075223733,"threshold_uncertainty_score":0.040571272},"labels":[],"label_agreement":null},{"id":"W4321446360","doi":"10.1111/auar.12395","title":"Bayesian Investor Belief Updating Speed and Market Underreaction to Earnings Announcements","year":2023,"lang":"en","type":"article","venue":"Australian Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Xiamen University; Ministry of Education of the People's Republic of China; Renmin University of China; National Natural Science Foundation of China; Deakin University","keywords":"Earnings; Bayesian probability; Econometrics; Bayesian inference; Economics; Duration (music); Information asymmetry; Earnings growth; Financial economics; Computer science; Microeconomics; Accounting; Artificial intelligence","score_opus":0.05343076213910193,"score_gpt":0.2747996091180461,"score_spread":0.22136884697894416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321446360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7614806,0.0014482436,0.226114,0.002303125,0.000092927534,0.000051247516,0.00021395858,0.00021217413,0.008083601],"genre_scores_gemma":[0.9932547,0.00031096255,0.0054549454,0.00006342248,0.000050736526,0.000012853784,0.000044633238,0.000014332897,0.00079341396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998321,0.000657307,0.000109259236,0.00031263242,0.000435896,0.00016390058],"domain_scores_gemma":[0.9449837,0.035879053,0.012967139,0.0027555986,0.0028343017,0.0005801946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009376029,0.00033889106,0.0007549742,0.0010117254,0.00024157295,0.0024165532,0.0009058465,0.00167488,0.0025532248],"category_scores_gemma":[0.05896061,0.00052761973,0.0006260629,0.000686631,0.000983992,0.004509553,0.0008070116,0.0019594342,0.00029689283],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008564677,0.00024872556,0.10168107,0.00028128503,0.0006779532,0.0004651949,0.001110152,0.493365,0.009628892,0.29346356,0.002108823,0.09611284],"study_design_scores_gemma":[0.00005448269,0.0002224218,0.04528807,0.000051122337,0.00012369323,0.00027922486,0.00014637697,0.7762156,0.0013996931,0.17468235,0.0014362514,0.00010063874],"about_ca_topic_score_codex":0.0026104902,"about_ca_topic_score_gemma":0.001185758,"teacher_disagreement_score":0.009376029,"about_ca_system_score_codex":0.0010533811,"about_ca_system_score_gemma":0.0005129505,"threshold_uncertainty_score":0.04958582},"labels":[],"label_agreement":null},{"id":"W4322008041","doi":"10.1007/s10203-023-00388-z","title":"Revisiting the 1/N-strategy: a neural network framework for optimal strategies","year":2023,"lang":"en","type":"article","venue":"Decisions in Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Portfolio; Risk aversion (psychology); Benchmark (surveying); Portfolio optimization; Artificial neural network; Computer science; Econometrics; Expected utility hypothesis; Mathematical optimization; Function (biology); Economics; Mathematical economics; Mathematics; Actuarial science; Artificial intelligence; Financial economics","score_opus":0.0521787293055006,"score_gpt":0.26924603175942147,"score_spread":0.21706730245392086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322008041","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029589355,0.0025807344,0.9384763,0.0045216265,0.00019701972,0.00004137535,0.00017921324,0.00008589155,0.024328534],"genre_scores_gemma":[0.8551713,0.0031655824,0.12254838,0.0008011269,0.00055654504,0.00015761438,0.00012756517,0.000119338,0.017352521],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989685,0.0005696992,0.000055925244,0.00015738656,0.00016121108,0.00008723042],"domain_scores_gemma":[0.99738425,0.0020487115,0.00014584066,0.000106779924,0.00021949637,0.00009485571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00256308,0.0011976771,0.0013199319,0.00087051134,0.0005802106,0.0027730537,0.0026337374,0.0033566456,0.00615939],"category_scores_gemma":[0.008186218,0.000647075,0.00091071054,0.0010302569,0.0024121706,0.006994625,0.0015277338,0.003280079,0.00050433766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031208237,0.00003267518,0.0002922603,0.00009369264,0.000030951614,0.000055334567,0.000082242674,0.28782943,0.00033523646,0.6928303,0.0014843852,0.016902242],"study_design_scores_gemma":[0.000007281875,0.000010953554,0.000060502378,0.000019513493,0.0000059860813,0.000010495343,0.000008915237,0.6945782,0.00006400266,0.30466932,0.0005577319,0.0000071322575],"about_ca_topic_score_codex":0.007902909,"about_ca_topic_score_gemma":0.0056890487,"teacher_disagreement_score":0.007902909,"about_ca_system_score_codex":0.001827957,"about_ca_system_score_gemma":0.0015092804,"threshold_uncertainty_score":0.020605206},"labels":[],"label_agreement":null},{"id":"W4322761367","doi":"10.1016/j.irfa.2023.102611","title":"The destabilizing effect of mutual fund herding: Evidence from China","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Science and Technology Commission of Shanghai Municipality; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Herding; Mutual fund; Endogeneity; Volatility (finance); Economics; Herd behavior; Stock (firearms); China; Monetary economics; Systematic risk; Target date fund; Stock market; Financial economics; Closed-end fund; Business; Open-end fund; Finance; Institutional investor; Econometrics; Corporate governance; Market liquidity; Geography","score_opus":0.04360923268007104,"score_gpt":0.293323807006179,"score_spread":0.24971457432610794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322761367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966192,0.0010973297,0.000082087136,0.000429966,0.000004323302,0.0000057720354,0.0000499094,0.0000036261154,0.0017078557],"genre_scores_gemma":[0.9989814,0.0007038514,0.000026726742,0.00004820564,0.000010085638,0.0000015039693,0.000033766213,6.5300645e-7,0.00019377211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996903,0.00006610007,0.000018054214,0.00004288401,0.00007294691,0.000109766836],"domain_scores_gemma":[0.99547994,0.001278823,0.0020792237,0.00026497865,0.0005260912,0.0003709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012348767,0.00015582953,0.00028388528,0.0009240157,0.00075852254,0.0008261624,0.0004434661,0.0004902778,0.0017150383],"category_scores_gemma":[0.0037150967,0.00010296241,0.000275538,0.00088184857,0.0012415065,0.00075245206,0.0007215848,0.00041129172,0.00010226415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005769831,0.00015425847,0.9380213,0.00020834777,0.00033198428,0.0009337018,0.0025118494,0.0011834798,0.0019660136,0.0047137234,0.001471457,0.047926854],"study_design_scores_gemma":[0.000033557204,0.0001679724,0.9923056,0.00003879688,0.00023524037,0.00011906631,0.00169261,0.0013006004,0.000605527,0.0013804066,0.0021059378,0.000014709927],"about_ca_topic_score_codex":0.045285307,"about_ca_topic_score_gemma":0.03810338,"teacher_disagreement_score":0.045285307,"about_ca_system_score_codex":0.0010605964,"about_ca_system_score_gemma":0.0013422654,"threshold_uncertainty_score":0.090043426},"labels":[],"label_agreement":null},{"id":"W4323044962","doi":"10.1093/rfs/hhad018","title":"Secret and Overt Information Acquisition in Financial Markets","year":2023,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Observability; Competition (biology); Business; The Internet; Financial market; Information asymmetry; Voluntary disclosure; Microeconomics; Monetary economics; Economics; Accounting; Finance; Computer science","score_opus":0.031953149349736074,"score_gpt":0.2584587170233789,"score_spread":0.22650556767364283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323044962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8590066,0.00881278,0.08255917,0.0058439267,0.00011584246,0.00006895053,0.00016263717,0.0000565377,0.043373615],"genre_scores_gemma":[0.99748236,0.0006957623,0.0010102437,0.00005382311,0.000069540714,0.000008841758,0.00001074287,0.0000025992092,0.0006661456],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967362,0.0014311904,0.0001701956,0.000392748,0.0008293085,0.0004403127],"domain_scores_gemma":[0.9234546,0.053984303,0.016801702,0.0029352931,0.0018447101,0.0009793418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070236614,0.000306279,0.00076618395,0.0011463227,0.00069184706,0.0038784165,0.0006568209,0.0018398463,0.0037780507],"category_scores_gemma":[0.036601517,0.00039544454,0.00055485184,0.00095259194,0.00505506,0.007232414,0.0016234044,0.0018427251,0.00014075861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020326742,0.00025005848,0.016137917,0.0003365688,0.00010770504,0.0005032558,0.00072934205,0.025549605,0.0017568655,0.9129136,0.00092770683,0.040584113],"study_design_scores_gemma":[0.00006426421,0.00016802856,0.022631345,0.00015948652,0.00007386615,0.00025259823,0.00047008655,0.08475868,0.0011430864,0.8872075,0.0030054667,0.00006556296],"about_ca_topic_score_codex":0.0015815737,"about_ca_topic_score_gemma":0.0008300964,"teacher_disagreement_score":0.0070236614,"about_ca_system_score_codex":0.0013298797,"about_ca_system_score_gemma":0.000856127,"threshold_uncertainty_score":0.037145138},"labels":[],"label_agreement":null},{"id":"W4323265904","doi":"10.31235/osf.io/rcj8t","title":"Recover the Missing Dimension of Managerial Risk of Stockholdings and Option Grants","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Actuarial science; Dimension (graph theory); Equity (law); Economics; Econometrics; Equity premium puzzle; Asset (computer security); Financial economics; Risk premium; Mathematics; Computer science","score_opus":0.04859616123449072,"score_gpt":0.22865119539183182,"score_spread":0.1800550341573411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323265904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57802325,0.0027886834,0.3874935,0.0043791975,0.00021445485,0.000032580196,0.00039646163,0.00015525366,0.026516674],"genre_scores_gemma":[0.98468506,0.000694146,0.010511197,0.00006760377,0.0001426295,0.000013425042,0.00010574357,0.00002015376,0.0037600494],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995357,0.00012762642,0.000036282483,0.00008947644,0.00013063419,0.0000802895],"domain_scores_gemma":[0.9957194,0.002191109,0.0008527842,0.0006227499,0.00028918154,0.00032489037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017150121,0.0005851809,0.0005464918,0.00091942534,0.00039265517,0.0019897437,0.0006150995,0.0010859098,0.0048423572],"category_scores_gemma":[0.013602193,0.00023219283,0.00046589115,0.0007134876,0.0017284959,0.006146577,0.0015776865,0.0020692802,0.00038497374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074099895,0.000045025885,0.0088726785,0.00006920953,0.000027764203,0.00037798818,0.0003331827,0.018403098,0.0015919196,0.9390272,0.00096633466,0.030211514],"study_design_scores_gemma":[0.000007919561,0.000031392927,0.0033995635,0.000027329377,0.000011220619,0.00016394343,0.00013776514,0.040453665,0.0008384091,0.9527782,0.0021320812,0.000018532235],"about_ca_topic_score_codex":0.0010498295,"about_ca_topic_score_gemma":0.0005650013,"teacher_disagreement_score":0.0048423572,"about_ca_system_score_codex":0.00064312294,"about_ca_system_score_gemma":0.00055197754,"threshold_uncertainty_score":0.01619935},"labels":[],"label_agreement":null},{"id":"W4323356104","doi":"10.1142/s021902492301001x","title":"EDITORIAL","year":2023,"lang":"en","type":"editorial","venue":"International Journal of Theoretical and Applied Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Download; Computer science; Library science; Range (aeronautics); Mathematical economics; World Wide Web; Mathematics; Engineering","score_opus":0.00842571129248259,"score_gpt":0.22599972846171112,"score_spread":0.21757401716922853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323356104","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005699751,0.0032927988,0.00016639134,0.019675605,0.9611625,0.000019742009,0.00015225624,0.00009888331,0.015374837],"genre_scores_gemma":[0.0015901433,0.007828419,0.00031881547,0.011890989,0.8631493,0.000031795724,0.00027535035,0.00016857819,0.11474665],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970643,0.00024151456,0.0002506442,0.00039607572,0.0018324052,0.00021495853],"domain_scores_gemma":[0.984932,0.0023588978,0.00062917045,0.0007406857,0.009324374,0.0020148207],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027392819,0.001791593,0.0014088597,0.0030729803,0.0022490784,0.006010005,0.0017587519,0.004503176,0.07825321],"category_scores_gemma":[0.019565556,0.00048626747,0.001276527,0.0013335968,0.0012879444,0.0032659138,0.0011302147,0.006831075,0.067966774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005258207,0.0000042592897,0.000011184927,0.000044055916,0.000001859827,0.000030317238,0.000004843422,0.000008582506,0.000016731436,0.00042210167,0.9948096,0.0046412437],"study_design_scores_gemma":[0.0000058963583,0.0000044163453,0.000064688305,0.0001511573,0.0000051491525,0.000102376915,0.000018394141,0.000035411333,0.000047610727,0.0008324311,0.99872893,0.0000035822002],"about_ca_topic_score_codex":0.0011999684,"about_ca_topic_score_gemma":0.0026477794,"teacher_disagreement_score":0.9217468,"about_ca_system_score_codex":0.0018276358,"about_ca_system_score_gemma":0.0031764552,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4323664520","doi":"10.1016/j.jedc.2023.104637","title":"Hedge funds trading strategies and leverage","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Hedge fund; Alternative beta; Leverage (statistics); Performance fee; Fund of funds; Open-end fund; Returns-based style analysis; Fund administration; Business; Imperfect; Economics; Actuarial science; Econometrics; Finance; Financial economics; Monetary economics; Institutional investor; Market liquidity; Computer science","score_opus":0.020501222567791577,"score_gpt":0.21365945324879418,"score_spread":0.1931582306810026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323664520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876407,0.0011196071,0.0013252381,0.0006091368,0.000008837946,0.0000046399055,0.00007841273,0.000009757018,0.009203706],"genre_scores_gemma":[0.9992874,0.0001133138,0.000055679848,0.000011660961,0.000007933882,0.0000010180086,0.000016039694,0.0000013434689,0.0005055373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998221,0.00004730189,0.00001542987,0.00003215061,0.0000378361,0.000045393237],"domain_scores_gemma":[0.9927651,0.00507914,0.0012767361,0.00022142213,0.0002424908,0.00041511306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080225477,0.00020315619,0.0003376189,0.00064654707,0.00026372692,0.0030124793,0.0003301203,0.0011802309,0.0038785234],"category_scores_gemma":[0.013254864,0.00016726553,0.000217845,0.0006368024,0.00069570536,0.0022485629,0.00064971927,0.0008885696,0.00030238702],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012027898,0.00076345814,0.6980943,0.00008391363,0.0005617433,0.002320606,0.001011587,0.02190609,0.005339766,0.19681539,0.0020798463,0.06982051],"study_design_scores_gemma":[0.00013857715,0.0005084139,0.58757234,0.00008599676,0.00041313143,0.0022398175,0.00215402,0.08868549,0.0018815468,0.31228766,0.0039574,0.00007565694],"about_ca_topic_score_codex":0.0007718127,"about_ca_topic_score_gemma":0.0009055768,"teacher_disagreement_score":0.0038785234,"about_ca_system_score_codex":0.0003396698,"about_ca_system_score_gemma":0.00021924838,"threshold_uncertainty_score":0.0129749775},"labels":[],"label_agreement":null},{"id":"W4323786110","doi":"10.54691/bcpbm.v35i.3377","title":"Portfolio Optimization Analysis for Industries","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Portfolio; Automotive industry; Econometrics; Quality (philosophy); Capital asset pricing model; Range (aeronautics); Investment (military); Asset (computer security); Value (mathematics); Business; Computer science; Financial economics; Economics; Engineering","score_opus":0.035485243110244244,"score_gpt":0.21044526032599922,"score_spread":0.174960017215755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323786110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02837651,0.0035847595,0.93663824,0.0009033739,0.00012029446,0.000116056915,0.00022366074,0.00011782114,0.029919283],"genre_scores_gemma":[0.78566176,0.0058012796,0.18582252,0.00040289894,0.0003182761,0.00048792816,0.00086122676,0.0001331207,0.020511044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990258,0.0004457326,0.000036117428,0.00017408599,0.00021918751,0.000099186196],"domain_scores_gemma":[0.99914575,0.00051292253,0.000105429404,0.000053826043,0.00013783107,0.000044217737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016781043,0.0012890293,0.0012171263,0.0013062721,0.0004288208,0.0016445912,0.00072133454,0.0008797014,0.004764425],"category_scores_gemma":[0.0037842295,0.0004739686,0.0013423165,0.00146841,0.0005564454,0.001592565,0.000949906,0.0012671817,0.00048443887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003096696,0.00010201322,0.0019821008,0.0001447416,0.00013840375,0.00007317701,0.000037521906,0.8080685,0.0005752174,0.1413714,0.0032958025,0.044180065],"study_design_scores_gemma":[0.0000068048384,0.00002938091,0.000531381,0.000020169146,0.000018420908,0.000020892903,0.000018646228,0.93800324,0.00013493917,0.059203576,0.0020043945,0.00000816073],"about_ca_topic_score_codex":0.0031379964,"about_ca_topic_score_gemma":0.0016769598,"teacher_disagreement_score":0.004764425,"about_ca_system_score_codex":0.0012971621,"about_ca_system_score_gemma":0.0011282278,"threshold_uncertainty_score":0.01593864},"labels":[],"label_agreement":null},{"id":"W4323786594","doi":"10.54691/bcpbm.v35i.3364","title":"Comparative Analysis on Fama-French Five-factor Model and Three-factor Model adopted in various Industries in A-share Market of China","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The King's University; Western University","funders":"","keywords":"Capital asset pricing model; Economics; Financial economics; Explanatory power; Stock market; Factor analysis; Econometrics; China","score_opus":0.045625202552868366,"score_gpt":0.22924463673939263,"score_spread":0.18361943418652427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323786594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98073846,0.0012419473,0.007974266,0.0010265955,0.00003610626,0.000057264904,0.00042169343,0.00007481213,0.008428815],"genre_scores_gemma":[0.99693894,0.00055069686,0.00083299814,0.000041885774,0.000021873433,0.000013801731,0.00045889738,0.000010813512,0.0011301769],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990313,0.00029011932,0.00005314266,0.00017671632,0.00022254235,0.00022621382],"domain_scores_gemma":[0.99649495,0.001675963,0.0006255379,0.00021660357,0.0007355463,0.0002513899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034049174,0.00052251806,0.0006040239,0.0021662577,0.00087811315,0.0024601324,0.000898324,0.0007540121,0.0042160964],"category_scores_gemma":[0.007834155,0.0002321563,0.001499927,0.0023203283,0.00062967907,0.0017196096,0.00049180974,0.00066752214,0.00046721782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003266063,0.00025958644,0.78460616,0.0002615655,0.0005476174,0.0023385193,0.0020206657,0.087488174,0.0011424145,0.046625774,0.007471692,0.06691122],"study_design_scores_gemma":[0.00005802575,0.00022650472,0.57803625,0.00012863868,0.0002966758,0.00030020723,0.0016086978,0.4000775,0.00046515773,0.012749377,0.005962582,0.00009044952],"about_ca_topic_score_codex":0.07503045,"about_ca_topic_score_gemma":0.027269937,"teacher_disagreement_score":0.07503045,"about_ca_system_score_codex":0.0017739546,"about_ca_system_score_gemma":0.0015773351,"threshold_uncertainty_score":0.14918745},"labels":[],"label_agreement":null},{"id":"W4323921672","doi":"10.1111/1911-3846.12860","title":"Investor relations and investment efficiency","year":2023,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"PotashCorp (Canada); University of Saskatchewan","funders":"University of Calgary","keywords":"Endogeneity; Business; Intermediary; Investment (military); Institutional investor; Sample (material); Control (management); Finance; Financial economics; Monetary economics; Microeconomics; Economics; Econometrics; Management","score_opus":0.13820619746370907,"score_gpt":0.3099193187476599,"score_spread":0.1717131212839508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323921672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9616135,0.00096164766,0.004658099,0.00088325824,0.000014207203,0.000039701783,0.0003898051,0.000029598354,0.031410158],"genre_scores_gemma":[0.998288,0.000113583716,0.0002465405,0.000027385267,0.000017080774,0.000005339259,0.000092633796,0.000002963001,0.0012064598],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837947,0.00060733035,0.00015707729,0.00022173133,0.00034797576,0.0002863233],"domain_scores_gemma":[0.9631618,0.015428013,0.017390063,0.0017145972,0.001081489,0.0012240446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003242095,0.00019931498,0.0003445136,0.0011505098,0.00035011268,0.0024480135,0.00029648043,0.0004032414,0.0065924414],"category_scores_gemma":[0.023101518,0.00012344106,0.00017960795,0.0015810446,0.00090893044,0.0014589938,0.0010741932,0.0005796722,0.0005812235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018246821,0.00023049253,0.9023913,0.00008196987,0.00027234707,0.00015806299,0.000599313,0.008544051,0.0006966993,0.040337805,0.0019109751,0.044594582],"study_design_scores_gemma":[0.000029866931,0.00014597859,0.94007427,0.000071897695,0.00009033175,0.0001804425,0.0009938797,0.011633518,0.0016530842,0.03660059,0.00849853,0.00002754947],"about_ca_topic_score_codex":0.0013038632,"about_ca_topic_score_gemma":0.0014145303,"teacher_disagreement_score":0.0065924414,"about_ca_system_score_codex":0.00096685876,"about_ca_system_score_gemma":0.00040218318,"threshold_uncertainty_score":0.022053957},"labels":[],"label_agreement":null},{"id":"W4327560401","doi":"10.1016/j.frl.2023.103802","title":"Understanding the price reaction to large dividend increases","year":2023,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Dividend; Economics; Volatility (finance); Dividend policy; Dividend yield; Monetary economics; Financial economics; Dividend payout ratio; Econometrics; Finance","score_opus":0.2555557910509936,"score_gpt":0.3264683350343068,"score_spread":0.0709125439833132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327560401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9440327,0.0007879751,0.012821864,0.0077310577,0.0002602084,0.000027351925,0.00017244894,0.00009273603,0.034073513],"genre_scores_gemma":[0.99647266,0.0003162805,0.00065837847,0.00022294979,0.000102408,0.0000047291555,0.000044312077,0.000014887117,0.0021633543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99981993,0.000035957964,0.000008973345,0.000041775467,0.00004177746,0.000051639418],"domain_scores_gemma":[0.99738747,0.0017505152,0.00041251644,0.00011597579,0.0001700598,0.00016347285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070409995,0.0002682211,0.00034342438,0.0003120444,0.00016761966,0.0027047805,0.00041882723,0.0015815519,0.008167029],"category_scores_gemma":[0.0076541454,0.00033180363,0.00023875922,0.0002516245,0.00049856794,0.0032715485,0.00049552886,0.0017805938,0.0007787666],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026074173,0.001452284,0.09090548,0.00050764316,0.00023823816,0.0033484197,0.0016799767,0.18885553,0.16467074,0.3979447,0.015195036,0.13259456],"study_design_scores_gemma":[0.00019735054,0.00029313896,0.11568747,0.00003499563,0.00007598085,0.00045080774,0.0018132,0.5018457,0.010564026,0.3634195,0.0055181547,0.00009969271],"about_ca_topic_score_codex":0.002173098,"about_ca_topic_score_gemma":0.0011465444,"teacher_disagreement_score":0.008167029,"about_ca_system_score_codex":0.00053208676,"about_ca_system_score_gemma":0.0003551084,"threshold_uncertainty_score":0.027321458},"labels":[],"label_agreement":null},{"id":"W4327569214","doi":"10.1016/j.frl.2023.103805","title":"Which factors explain African stock returns?","year":2023,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Stock (firearms); Factor analysis; Economics; Econometrics; Factor (programming language); Financial economics; Computer science; Geography","score_opus":0.13340180336068258,"score_gpt":0.3056873357068748,"score_spread":0.1722855323461922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327569214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95633465,0.006099819,0.0011189306,0.019508582,0.00019621661,0.000023559884,0.000619435,0.000019743587,0.016079115],"genre_scores_gemma":[0.99733067,0.0009235801,0.00012101421,0.0002668702,0.00011137012,0.0000038347775,0.00007223724,0.0000083063605,0.0011621913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955386,0.00011541375,0.000030225716,0.00006194874,0.000044589124,0.000193961],"domain_scores_gemma":[0.9948921,0.0023686236,0.0016356561,0.00035836728,0.00032193822,0.00042333442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016704004,0.00036599333,0.00040466335,0.0010943813,0.00067131076,0.0020842338,0.00037213502,0.0009997231,0.01113519],"category_scores_gemma":[0.011991149,0.00024570356,0.00072598195,0.0015874252,0.0011703856,0.0024601829,0.0006936643,0.0011554952,0.0009008071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002099367,0.000084347615,0.94196784,0.00010458299,0.0003135918,0.0006249154,0.0015061611,0.0009920204,0.0005014629,0.015583158,0.0037011476,0.03441084],"study_design_scores_gemma":[0.000038441118,0.000039416496,0.95935196,0.00025373415,0.0003368753,0.0003766596,0.0041063637,0.004301122,0.0005200309,0.01741549,0.013237799,0.000022151089],"about_ca_topic_score_codex":0.020127652,"about_ca_topic_score_gemma":0.02078625,"teacher_disagreement_score":0.020127652,"about_ca_system_score_codex":0.00066274195,"about_ca_system_score_gemma":0.0012500962,"threshold_uncertainty_score":0.040021002},"labels":[],"label_agreement":null},{"id":"W4327727167","doi":"10.1111/1911-3846.12865","title":"MiFID <scp>II</scp> and the unbundling of analyst research from trading execution","year":2023,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unbundling; Business; Directive; Electronic trading; Optimism; High-frequency trading; Finance; Accounting; Industrial organization; Algorithmic trading; Computer science","score_opus":0.17121147426015176,"score_gpt":0.329130711976446,"score_spread":0.15791923771629424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327727167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.919791,0.0008396219,0.0066170366,0.010147065,0.0003070736,0.00024656017,0.0016229762,0.00016747879,0.060261138],"genre_scores_gemma":[0.99157363,0.00007515875,0.0018869311,0.0011593945,0.00013975479,0.00010580682,0.00041344078,0.000014077188,0.0046318765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9869919,0.0029025972,0.0014245133,0.0012926498,0.0054754387,0.0019128983],"domain_scores_gemma":[0.722057,0.11282769,0.10861254,0.020196158,0.021100117,0.015206541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024689438,0.00021558981,0.0004396782,0.0019990725,0.0016535226,0.005039687,0.0010386172,0.0017801345,0.007605773],"category_scores_gemma":[0.10225699,0.00029535277,0.0005224145,0.0015270232,0.0021503454,0.0023567283,0.0024068616,0.0019253001,0.00082944497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021188974,0.0007937693,0.85018975,0.00020746115,0.00016854203,0.00029337514,0.0013627652,0.0025469398,0.0042393063,0.04710214,0.014802647,0.076174386],"study_design_scores_gemma":[0.00013527939,0.0007203512,0.94792885,0.00012121949,0.00006701172,0.00020521219,0.0012052866,0.0029519994,0.006809951,0.008730862,0.031040357,0.000083665414],"about_ca_topic_score_codex":0.007971107,"about_ca_topic_score_gemma":0.011372223,"teacher_disagreement_score":0.024689438,"about_ca_system_score_codex":0.00368745,"about_ca_system_score_gemma":0.003999435,"threshold_uncertainty_score":0.13057178},"labels":[],"label_agreement":null},{"id":"W4327779669","doi":"10.4108/eai.18-11-2022.2326875","title":"Portfolio Allocation Using Monte Carlo Simulation and ARIMA Model Targeting Chinese Companies Trading on the US Stock Exchange","year":2023,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Autoregressive integrated moving average; Portfolio allocation; Stock exchange; Portfolio; Stock (firearms); Monte Carlo method; Pandemic; Financial economics; Business; Econometrics; Computer science; Coronavirus disease 2019 (COVID-19); Economics; Finance; Time series; Engineering; Statistics","score_opus":0.0923415804125943,"score_gpt":0.2690082291827699,"score_spread":0.1766666487701756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327779669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752288,0.0002613122,0.021852681,0.00031679717,0.000022880922,0.000045393186,0.00011510974,0.00006284527,0.0020941282],"genre_scores_gemma":[0.9959865,0.000104266146,0.0028722566,0.000033754422,0.000010637154,0.000025393349,0.000116951975,0.000005674539,0.0008445788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958855,0.00018198205,0.000017198581,0.00006834618,0.00005417446,0.00008972214],"domain_scores_gemma":[0.9967615,0.0023721545,0.00031112914,0.000100201956,0.00029486572,0.00016018425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017787708,0.0005847778,0.00071633584,0.0007652796,0.00040241695,0.00096175744,0.00068967236,0.00085359206,0.0016871925],"category_scores_gemma":[0.005819345,0.00032441728,0.000509398,0.0005655352,0.00035042758,0.00080199953,0.0005829436,0.00073073,0.00012478276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014834329,0.00009818066,0.013308323,0.000017067785,0.000058611033,0.00008476886,0.000033590022,0.97650665,0.0003151495,0.002692504,0.00035143708,0.006385452],"study_design_scores_gemma":[0.000008848102,0.000019443976,0.0010293375,0.000001523567,0.000009496376,0.0000036412132,0.0000073539377,0.9984522,0.00006828776,0.00036539743,0.00003088898,0.0000036048714],"about_ca_topic_score_codex":0.037516132,"about_ca_topic_score_gemma":0.019404104,"teacher_disagreement_score":0.037516132,"about_ca_system_score_codex":0.0011038897,"about_ca_system_score_gemma":0.0013130883,"threshold_uncertainty_score":0.07459551},"labels":[],"label_agreement":null},{"id":"W4328096342","doi":"10.54691/bcpbm.v37i.3560","title":"Research on The Lookback Option Pricing of Disney Based on BSM Model","year":2023,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Valuation of options; Strike price; Volatility (finance); Asian option; Call option; Economics; Spot contract; Value (mathematics); Exotic option; Asset (computer security); Actuarial science; Option value; Business; Financial economics; Microeconomics; Computer science","score_opus":0.1479611707892719,"score_gpt":0.294054170674464,"score_spread":0.1460929998851921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328096342","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14936695,0.01376874,0.770086,0.004398467,0.00058646506,0.000104742256,0.00018072399,0.00024075044,0.06126721],"genre_scores_gemma":[0.9521746,0.004856427,0.026700955,0.00022526203,0.00040424574,0.00006573628,0.00011518169,0.00006381079,0.015393763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992349,0.00025289162,0.000032918473,0.00010438378,0.00027755223,0.00009735179],"domain_scores_gemma":[0.9990466,0.00048364574,0.00011272383,0.000051912953,0.00019213611,0.00011301693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013733499,0.00077717047,0.0011657492,0.0012258401,0.0006549456,0.0022861494,0.0017118638,0.0014967225,0.005710448],"category_scores_gemma":[0.00339007,0.00035990763,0.0014696612,0.0012411086,0.0009911277,0.0041151713,0.00095479534,0.0019554119,0.00034593322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089135756,0.0000810393,0.0028368349,0.00022938864,0.00008770062,0.00047514777,0.00016099722,0.2367709,0.0026194807,0.72471434,0.0031972737,0.02873781],"study_design_scores_gemma":[0.000008873759,0.000022105467,0.00041536428,0.000023029954,0.000018989687,0.00008772188,0.000027271548,0.91645515,0.00018934486,0.08136115,0.0013689242,0.000022072476],"about_ca_topic_score_codex":0.0064432714,"about_ca_topic_score_gemma":0.0023115813,"teacher_disagreement_score":0.0064432714,"about_ca_system_score_codex":0.0016307366,"about_ca_system_score_gemma":0.0011749645,"threshold_uncertainty_score":0.019103348},"labels":[],"label_agreement":null},{"id":"W4328096901","doi":"10.54691/bcpbm.v40i.4386","title":"Research on the Comparison of Asset Pricing Models Applications in Emerging Markets","year":2023,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Emerging markets; Capital asset pricing model; Portfolio; Econometrics; Stock (firearms); Financial economics; Economics; Capital market; Factor analysis; Arbitrage pricing theory; Value (mathematics); Actuarial science; Business; Computer science; Finance; Engineering","score_opus":0.17174319398695237,"score_gpt":0.3400598679395151,"score_spread":0.16831667395256272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328096901","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31668124,0.060187332,0.54708654,0.0068128034,0.001155398,0.00021063296,0.0006054196,0.00057171076,0.06668897],"genre_scores_gemma":[0.8834709,0.034519047,0.077252455,0.0003493608,0.000789865,0.00013472476,0.0007001654,0.00010630583,0.0026771761],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99622416,0.0019399571,0.00023346506,0.0004709681,0.0009876811,0.00014372382],"domain_scores_gemma":[0.98573226,0.0100317625,0.0005356836,0.0010004042,0.002515336,0.00018445955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008847877,0.0008017401,0.00073813734,0.0026961903,0.0004974209,0.003080296,0.0010153987,0.0012231283,0.0021495854],"category_scores_gemma":[0.032385666,0.000301365,0.0012575436,0.0047733304,0.0006563907,0.0058152494,0.0008901835,0.0015594311,0.00047283867],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027087142,0.00031078773,0.04282068,0.0007041529,0.00051608786,0.00025754387,0.00085907703,0.10765069,0.0011485332,0.30367714,0.0073001496,0.53448427],"study_design_scores_gemma":[0.000066059394,0.00026520295,0.032806963,0.00042213887,0.00019992965,0.00037495678,0.0010810599,0.7441133,0.0019998183,0.19014962,0.028416108,0.00010476819],"about_ca_topic_score_codex":0.004017404,"about_ca_topic_score_gemma":0.001666204,"teacher_disagreement_score":0.008847877,"about_ca_system_score_codex":0.0010149213,"about_ca_system_score_gemma":0.0010774292,"threshold_uncertainty_score":0.046792626},"labels":[],"label_agreement":null},{"id":"W4353000316","doi":"10.54691/bcpbm.v35i.3241","title":"Study in Chinese Individual Investors Through Behavioral Finance","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Irrational number; China; Investment (military); Financial market; Behavioral economics; Affect (linguistics); Finance; Business; Economics; Monetary economics; Financial economics; Market economy; Psychology","score_opus":0.06367709761921655,"score_gpt":0.2640197314574103,"score_spread":0.20034263383819376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353000316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982311,0.00006475721,0.00011987616,0.00012097985,0.0000027879962,0.00000976209,0.000036553505,8.0662306e-7,0.0014133353],"genre_scores_gemma":[0.9987386,0.00007796176,0.0000697281,0.000061009396,0.00000517228,0.0000068217537,0.000031409618,4.7388494e-7,0.0010088474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961793,0.000082657796,0.000025502226,0.000055158613,0.00009917753,0.00011962762],"domain_scores_gemma":[0.9987488,0.00032046845,0.00046155776,0.000068910136,0.00020308164,0.00019711713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010278686,0.00018155134,0.00021605322,0.0010209895,0.00072403945,0.0007211304,0.00024536575,0.00032644076,0.001980057],"category_scores_gemma":[0.0025176206,0.000104979044,0.00023461695,0.0010706837,0.00045717644,0.0006560267,0.00032021216,0.00034940743,0.00014738552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027552867,0.00011689744,0.9869435,0.000015434445,0.000028237755,0.00012631988,0.0034025765,0.0001116269,0.0002498845,0.0012668011,0.0002089351,0.007502346],"study_design_scores_gemma":[0.000006159223,0.000075013304,0.99203885,0.000012105771,0.00003790531,0.000105131694,0.0037006587,0.0018742215,0.00026331533,0.0007551118,0.0011213416,0.00001031642],"about_ca_topic_score_codex":0.027601281,"about_ca_topic_score_gemma":0.027387416,"teacher_disagreement_score":0.027601281,"about_ca_system_score_codex":0.0011138051,"about_ca_system_score_gemma":0.0010024045,"threshold_uncertainty_score":0.054881215},"labels":[],"label_agreement":null},{"id":"W4360616780","doi":"10.1111/jfir.12323","title":"Performance and diversification benefits of IPO‐focused mutual funds","year":2023,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Initial public offering; Diversification (marketing strategy); Passive management; Business; Equity (law); Index (typography); Institutional investor; Fund of funds; Closed-end fund; Finance; Accounting; Monetary economics; Economics; Corporate governance; Marketing","score_opus":0.1558222247114323,"score_gpt":0.297391864188663,"score_spread":0.14156963947723067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360616780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99871933,0.00015558327,0.000056620236,0.000048969618,0.0000013610314,0.000005452657,0.000044810546,0.0000028040529,0.00096523046],"genre_scores_gemma":[0.9997323,0.00003801125,0.000025858511,0.000005863224,0.000004931485,0.0000015360474,0.00004680858,4.0117646e-7,0.00014429446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941564,0.00019258763,0.000055382145,0.00005531574,0.00016270623,0.0001183449],"domain_scores_gemma":[0.99153453,0.0020044479,0.004464886,0.0003200944,0.00063121854,0.0010449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018084085,0.00040038754,0.00028421645,0.001108275,0.0002433254,0.001271975,0.00026250674,0.00061733153,0.001554341],"category_scores_gemma":[0.009670928,0.00009984154,0.00021166023,0.0006361178,0.00047331804,0.0010318933,0.0013284404,0.00037297074,0.00031713428],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016596885,0.0008977262,0.93587846,0.000092493356,0.00036674624,0.00045062703,0.00050545693,0.008022489,0.0075072604,0.0031998367,0.0006536123,0.04076546],"study_design_scores_gemma":[0.00013026693,0.0016879624,0.98101276,0.000045351328,0.00016903739,0.0003943688,0.0004911675,0.007329843,0.0050768033,0.0022983933,0.0013341268,0.000029848457],"about_ca_topic_score_codex":0.00075737375,"about_ca_topic_score_gemma":0.00089640456,"teacher_disagreement_score":0.0018084085,"about_ca_system_score_codex":0.0005557379,"about_ca_system_score_gemma":0.00024131792,"threshold_uncertainty_score":0.009563863},"labels":[],"label_agreement":null},{"id":"W4360841434","doi":"10.1016/j.jempfin.2023.03.012","title":"US cross-listing and domestic high-frequency trading: Evidence from Canadian stocks","year":2023,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación; Ministerio de Ciencia, Innovación y Universidades; European Regional Development Fund; Australian Education International, Australian Government; Generalitat Valenciana; Auckland University of Technology, New Zealand","keywords":"Cross listing; Market liquidity; High-frequency trading; Arbitrage; Stock (firearms); Business; Monetary economics; Dark liquidity; Listing (finance); Financial economics; Flash trading; Economics; Finance","score_opus":0.09247091655974324,"score_gpt":0.3153057459717223,"score_spread":0.22283482941197905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360841434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986989,0.0021389471,0.000086789274,0.00043316718,0.000017044784,0.000022732218,0.0035873135,0.000006310577,0.006718658],"genre_scores_gemma":[0.99204165,0.0015019733,0.00012006736,0.00011758481,0.000017732398,0.000006731678,0.004221793,0.000008692535,0.0019637973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913496,0.000070157126,0.00007141611,0.00012550388,0.00032957946,0.00026840245],"domain_scores_gemma":[0.9868967,0.00217522,0.0036409048,0.0006215893,0.005282303,0.0013832258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011953561,0.00050372095,0.00045576316,0.0032787416,0.00264472,0.0026700268,0.0014448302,0.00079677545,0.0054328092],"category_scores_gemma":[0.008192628,0.00031966102,0.0005497817,0.009915944,0.0011213613,0.0011178369,0.0010663759,0.0007005419,0.00047842582],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025414737,0.00009483462,0.9830313,0.00007809026,0.00018945943,0.00027926872,0.0019629186,0.00025836314,0.00040121647,0.00075194886,0.0026407067,0.010057837],"study_design_scores_gemma":[0.000010475893,0.00001059064,0.99686617,0.000030550837,0.00007322547,0.000046735488,0.0011115436,0.0001797344,0.000088903726,0.00005844422,0.0015078556,0.00001574869],"about_ca_topic_score_codex":0.98550594,"about_ca_topic_score_gemma":0.99281013,"teacher_disagreement_score":0.0144940615,"about_ca_system_score_codex":0.0113461865,"about_ca_system_score_gemma":0.008753693,"threshold_uncertainty_score":0.08232278},"labels":[],"label_agreement":null},{"id":"W4360939356","doi":"10.33423/jabe.v25i1.5918","title":"Stock Performance Prior to Federal Holidays","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock price; Stock (firearms); Sample (material); Monetary economics; Significant difference; Economics; Business; Confidence interval; Financial economics; Statistics; Mathematics; Geography","score_opus":0.029414990570342036,"score_gpt":0.20269107390760183,"score_spread":0.1732760833372598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360939356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969919,0.00011016764,0.000076966055,0.000042797306,0.000023731902,0.000008007551,0.00046637483,0.000010347964,0.0022697041],"genre_scores_gemma":[0.9982668,0.000051774477,0.000046130222,0.000015044115,0.0000318507,0.0000050128615,0.00083496876,0.0000026794887,0.00074563455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994966,0.000043061493,0.000044236134,0.00006933822,0.0001734169,0.000173404],"domain_scores_gemma":[0.99633056,0.0006907499,0.0011766565,0.00024710473,0.0008026346,0.0007522744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006054389,0.00027137238,0.00047805795,0.0009093549,0.0004981511,0.0010566299,0.00023427115,0.00044099073,0.0029719959],"category_scores_gemma":[0.003082036,0.0001190967,0.0003741188,0.0005535123,0.00025137365,0.00049903605,0.0005206909,0.0007115639,0.0008389437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017715882,0.00037029455,0.97204643,0.000043466625,0.00013408547,0.00031873872,0.00028771843,0.0007926656,0.004311784,0.0002924233,0.0011964216,0.018434351],"study_design_scores_gemma":[0.0000014103604,0.000117526004,0.999166,0.0000030694896,0.0000060378034,0.000019819618,0.000065792396,0.0001207533,0.00026216605,0.000015043427,0.00021917437,0.0000032335142],"about_ca_topic_score_codex":0.0122306645,"about_ca_topic_score_gemma":0.02010148,"teacher_disagreement_score":0.0122306645,"about_ca_system_score_codex":0.0007557174,"about_ca_system_score_gemma":0.0002971559,"threshold_uncertainty_score":0.024318933},"labels":[],"label_agreement":null},{"id":"W4360953143","doi":"10.1111/1911-3846.12866","title":"The supply of information and price formation: Evidence from Google's search engine","year":2023,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Search engine; Earnings; Information retrieval; Quality (philosophy); Search analytics; Computer science; Search cost; Online search; Business; Economics; Web search query; Microeconomics","score_opus":0.1098529608010973,"score_gpt":0.2976322717054468,"score_spread":0.18777931090434952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360953143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914505,0.0011453155,0.00013334223,0.00043579194,0.000011173585,0.000021002668,0.0009399646,0.00001544657,0.0058474545],"genre_scores_gemma":[0.9980677,0.0005355268,0.00012459698,0.000054384076,0.00003736665,0.000007534128,0.0007414441,0.000010918282,0.0004205942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975764,0.000643826,0.00031300078,0.00024200414,0.0010400307,0.0001846606],"domain_scores_gemma":[0.8338319,0.10085435,0.049480982,0.005571191,0.0070368145,0.0032247594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028498934,0.00018885506,0.0005759117,0.004838507,0.00063036656,0.0037472907,0.00068141724,0.0009771413,0.00561961],"category_scores_gemma":[0.06755923,0.00047807256,0.0005377834,0.0079621235,0.0011153622,0.0047444096,0.0014515539,0.001105901,0.0010738279],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006027573,0.00028022748,0.98260075,0.00022899,0.0002895765,0.0001897505,0.0008612714,0.00047206314,0.00031689796,0.0012800858,0.0009119332,0.01196576],"study_design_scores_gemma":[0.00003890103,0.00012660821,0.99489164,0.000043664666,0.00009371121,0.00019303164,0.00091092737,0.0012651727,0.00029221358,0.0007875686,0.0013308353,0.00002564046],"about_ca_topic_score_codex":0.0136108445,"about_ca_topic_score_gemma":0.012114638,"teacher_disagreement_score":0.0136108445,"about_ca_system_score_codex":0.00053915323,"about_ca_system_score_gemma":0.0005316926,"threshold_uncertainty_score":0.02706325},"labels":[],"label_agreement":null},{"id":"W4361291083","doi":"10.3390/math11071637","title":"An Adaptive Multiple-Asset Portfolio Strategy with User-Specified Risk Tolerance","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Asset allocation; Portfolio; Asset (computer security); Investment strategy; Adaptive strategies; Econometrics; Trading strategy; Computer science; Economics; Financial economics; Microeconomics","score_opus":0.05073957536421038,"score_gpt":0.23176274304096933,"score_spread":0.18102316767675897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361291083","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03130891,0.00021152843,0.966291,0.00011805711,0.000045627898,0.00006284027,0.000019509738,0.00021637253,0.0017262505],"genre_scores_gemma":[0.52240413,0.00015643414,0.47356573,0.00017418103,0.000056529105,0.00019827455,0.000067130095,0.0000765083,0.0033010952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994142,0.00021844452,0.000031775835,0.000103930244,0.00018390575,0.000047620462],"domain_scores_gemma":[0.99846447,0.00092309,0.00014276312,0.00015174391,0.0002339305,0.00008409564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015061571,0.0005906634,0.0008568419,0.00074801437,0.00030592587,0.0006949281,0.0017124417,0.0010459223,0.0024734442],"category_scores_gemma":[0.005067462,0.00024626782,0.0004957904,0.00067110255,0.00046943626,0.0010385528,0.0007532595,0.0009873399,0.0003588389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015799816,0.00019246728,0.0028719432,0.00009356948,0.0001488789,0.00019223506,0.0001844049,0.5456003,0.012841408,0.049487993,0.0023105273,0.38591826],"study_design_scores_gemma":[0.000032245924,0.00008130805,0.00026573348,0.000006724445,0.000017202108,0.000076513876,0.000006728538,0.9921625,0.0012602374,0.0052168327,0.0008624805,0.00001149219],"about_ca_topic_score_codex":0.0012654467,"about_ca_topic_score_gemma":0.0011503991,"teacher_disagreement_score":0.0024734442,"about_ca_system_score_codex":0.0005123785,"about_ca_system_score_gemma":0.00057010347,"threshold_uncertainty_score":0.008274496},"labels":[],"label_agreement":null},{"id":"W4361860050","doi":"10.2139/ssrn.4394069","title":"An Intangibles-Adjusted Profitability Factor","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Profitability index; Economics; Stochastic discount factor; Financial economics; Earnings; Econometrics; Capital asset pricing model; Factor analysis; Dividend; Finance","score_opus":0.03474681724421698,"score_gpt":0.2431840041068111,"score_spread":0.2084371868625941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361860050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6697562,0.0020564753,0.2178632,0.0015106469,0.00076821743,0.00028650547,0.006484578,0.00157905,0.09969508],"genre_scores_gemma":[0.96699554,0.00055763614,0.010468992,0.000081823695,0.0002038874,0.000036647074,0.0017012773,0.000113651215,0.019840578],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994666,0.000060273553,0.000041688956,0.00010280291,0.00025255594,0.00007603118],"domain_scores_gemma":[0.99770254,0.0007767187,0.00044829113,0.00021123231,0.00068264775,0.00017854609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072889775,0.00048653426,0.0002158183,0.0013646114,0.00015489284,0.0016318051,0.00039543567,0.0006971336,0.009150169],"category_scores_gemma":[0.0058941133,0.00014499117,0.00046101288,0.0014195113,0.00037119517,0.0016770589,0.00036604007,0.0008174349,0.0025354861],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045674373,0.00060198933,0.2277476,0.00033315437,0.0004701394,0.0010280204,0.00037120786,0.06530982,0.02944317,0.16970754,0.026664753,0.4778659],"study_design_scores_gemma":[0.000048939222,0.0006382687,0.65604454,0.00010253158,0.00020235551,0.002481101,0.00032801504,0.13513677,0.013783718,0.101161085,0.0898201,0.0002525973],"about_ca_topic_score_codex":0.0016760055,"about_ca_topic_score_gemma":0.0016060767,"teacher_disagreement_score":0.009150169,"about_ca_system_score_codex":0.00068062404,"about_ca_system_score_gemma":0.00057366554,"threshold_uncertainty_score":0.030610383},"labels":[],"label_agreement":null},{"id":"W4362015468","doi":"10.47611/jsrhs.v11i3.3701","title":"Identifying Factors Influencing Investor Behavior in the Stock Market","year":2022,"lang":"en","type":"article","venue":"Journal of Student Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Overconfidence effect; Herding; Behavioral economics; Herd behavior; Stock (firearms); Stock market; Sri lanka; Contrast (vision); Context (archaeology); Psychology; Economics; Econometrics; Financial economics; Social psychology; Geography; Socioeconomics; Finance","score_opus":0.2812910269102261,"score_gpt":0.39180237193168965,"score_spread":0.11051134502146354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362015468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99712735,0.00011415994,0.00053006667,0.00026740396,0.0000042320407,0.00001531444,0.000015979995,0.0000019239476,0.0019234513],"genre_scores_gemma":[0.9990834,0.00013842723,0.00030585448,0.000056179142,0.0000021927958,0.000010141212,0.000007316796,0.0000013695455,0.0003951534],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9977379,0.0016928824,0.00008317066,0.00006159806,0.00021369335,0.00021077495],"domain_scores_gemma":[0.9928301,0.005754751,0.0007202208,0.00010347197,0.00034915633,0.00024232702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041845227,0.00015161275,0.00021843151,0.0010028515,0.0013566957,0.0015996683,0.00034292284,0.00037510428,0.0012389052],"category_scores_gemma":[0.008601532,0.00016499338,0.00011927399,0.0005785261,0.0016447571,0.0015268291,0.00088736095,0.00039786779,0.00008041907],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052344727,0.000058728452,0.10078536,0.00021575394,0.000014333362,0.0009383909,0.87684685,0.000106448926,0.0030250172,0.0017256143,0.00025692984,0.015974209],"study_design_scores_gemma":[0.0000023158009,0.00007179307,0.021933882,0.00010813203,0.0000075284534,0.0003638716,0.9733393,0.00023344315,0.00053103885,0.00030077065,0.0030968222,0.000011050765],"about_ca_topic_score_codex":0.0036252732,"about_ca_topic_score_gemma":0.0075638783,"teacher_disagreement_score":0.0041845227,"about_ca_system_score_codex":0.0008696727,"about_ca_system_score_gemma":0.00091354287,"threshold_uncertainty_score":0.022130191},"labels":[],"label_agreement":null},{"id":"W4362471805","doi":"10.3905/jwm.2023.1.201","title":"Goals-Based Investing and JWM: Where They Have Been, Where They Are Headed","year":2023,"lang":"en","type":"article","venue":"The journal of wealth management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Normative; Portfolio; Modern portfolio theory; Axiom; Behavioral economics; Economics; Key (lock); Quarter (Canadian coin); Financial economics; Project portfolio management; Positive economics; Finance; Political science; Management; Computer science; History; Law; Mathematics","score_opus":0.04424030906040437,"score_gpt":0.24694439389616138,"score_spread":0.20270408483575703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362471805","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015300657,0.106441,0.026480922,0.46701145,0.009749546,0.000040370163,0.00019791041,0.0001555068,0.37462276],"genre_scores_gemma":[0.61106235,0.11021863,0.033259716,0.07229148,0.011461669,0.00015932083,0.0003178036,0.0006149032,0.16061403],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99847347,0.0006141905,0.000094889416,0.00018806446,0.00043818427,0.00019120958],"domain_scores_gemma":[0.99672735,0.0014206416,0.0006810608,0.00027816204,0.00046882292,0.0004239269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029882651,0.00038013086,0.00032375826,0.0007758507,0.0014423802,0.009094095,0.0008383145,0.0027443562,0.011736523],"category_scores_gemma":[0.010143181,0.00021733854,0.00032288686,0.0016765937,0.008693992,0.011988517,0.0026790446,0.0051057544,0.0021371187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017139891,0.000013189687,0.0004906973,0.00008784923,0.000004985054,0.00004525611,0.00067354995,0.000100425095,0.000060277383,0.92360795,0.032412857,0.042485848],"study_design_scores_gemma":[0.0000065398913,0.000020190173,0.0019085417,0.00089692435,0.000006959182,0.00019077017,0.0016476869,0.0005510372,0.00026567094,0.49795863,0.4965241,0.00002298626],"about_ca_topic_score_codex":0.002109005,"about_ca_topic_score_gemma":0.0024641214,"teacher_disagreement_score":0.011736523,"about_ca_system_score_codex":0.002970538,"about_ca_system_score_gemma":0.002103366,"threshold_uncertainty_score":0.039262533},"labels":[],"label_agreement":null},{"id":"W4362634212","doi":"10.1016/j.finmar.2023.100835","title":"Quarterly investment spikes, stock returns, and the investment factor","year":2023,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Stock (firearms); Volatility (finance); Monetary economics; Financial economics; Capital asset pricing model; Debt; Quarter (Canadian coin); Investment (military); Investment style; Return on investment; Finance; Open-ended investment company; Macroeconomics","score_opus":0.026098888533664398,"score_gpt":0.2189516955329502,"score_spread":0.1928528069992858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362634212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99320954,0.00048992864,0.0009793588,0.00080010464,0.000060421622,0.0000044530425,0.0007693364,0.000038976028,0.003648002],"genre_scores_gemma":[0.99842656,0.00020944276,0.00007895973,0.00003770586,0.000060358812,0.0000018966562,0.00044143666,0.0000043296595,0.00073938293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989104,0.000012876858,0.0000114185395,0.000020409358,0.0000421797,0.000022033373],"domain_scores_gemma":[0.99560404,0.0025173242,0.0011060082,0.00016205898,0.00035136868,0.00025912217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007440956,0.00012946123,0.0003292836,0.0005401614,0.0001630943,0.0012860316,0.00018823521,0.0006092913,0.0023744658],"category_scores_gemma":[0.0108861625,0.000119491546,0.00011542982,0.00077862374,0.00022956888,0.00079000444,0.00029130452,0.0006748446,0.00037949145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014923462,0.00038894772,0.8593013,0.00008847607,0.00015465946,0.00058751984,0.0004125743,0.011792018,0.0042098192,0.031433407,0.014234946,0.0759039],"study_design_scores_gemma":[0.000044081353,0.00019556496,0.9251829,0.000026492573,0.000083386316,0.0003590941,0.00043594846,0.040202223,0.0013519165,0.025923528,0.0061651208,0.000029741494],"about_ca_topic_score_codex":0.002849575,"about_ca_topic_score_gemma":0.0032767197,"teacher_disagreement_score":0.002849575,"about_ca_system_score_codex":0.0006027932,"about_ca_system_score_gemma":0.00020157803,"threshold_uncertainty_score":0.007943392},"labels":[],"label_agreement":null},{"id":"W4363610430","doi":"10.1007/978-981-19-5546-4_11","title":"Behavioural Aspects of Financial Advice","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Advice (programming); Business; Finance; Computer science","score_opus":0.03799408523466039,"score_gpt":0.20286902876100024,"score_spread":0.16487494352633986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363610430","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022212304,0.0024869512,0.0055938265,0.007675614,0.00017734167,0.000021263928,0.00006375843,0.000028000477,0.9617409],"genre_scores_gemma":[0.62153405,0.0034720607,0.0054979506,0.002625284,0.0002740527,0.00006459541,0.00012141871,0.00006674098,0.36634392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934644,0.0003118955,0.000014712829,0.00003595139,0.00022260514,0.000068262154],"domain_scores_gemma":[0.9989562,0.00055577664,0.000084856976,0.00007605993,0.00020204537,0.00012499234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007835508,0.00015524105,0.00010336358,0.0004270717,0.0004552866,0.0018797831,0.0003943293,0.001133766,0.012812123],"category_scores_gemma":[0.0042128707,0.00011783703,0.00009771643,0.0006075354,0.0016642626,0.0013869855,0.0005596893,0.0012830684,0.0015063924],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037518636,0.00010386371,0.0028272436,0.00010426903,0.00000982202,0.00012791902,0.0061832997,0.0009544815,0.0011710187,0.8198796,0.027909618,0.14069124],"study_design_scores_gemma":[0.0000171284,0.00007183704,0.023554292,0.00030031925,0.000015846243,0.0004691647,0.0059473757,0.004224561,0.000678893,0.61100733,0.3536861,0.000027112454],"about_ca_topic_score_codex":0.0040044067,"about_ca_topic_score_gemma":0.00566603,"teacher_disagreement_score":0.012812123,"about_ca_system_score_codex":0.0010011867,"about_ca_system_score_gemma":0.0007718266,"threshold_uncertainty_score":0.042860746},"labels":[],"label_agreement":null},{"id":"W4364374573","doi":"10.1111/jfir.12327","title":"Blockholder mutual fund participation in private in‐house meetings","year":2023,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Business; Finance; Mutual fund; Stock (firearms); China; Management fee; Institutional investor; Open-end fund; Corporate governance","score_opus":0.20704654552007873,"score_gpt":0.3706503195500781,"score_spread":0.16360377402999937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364374573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975891,0.000104664236,0.00018156559,0.00011477974,0.0000060834222,0.000009678461,0.00020199337,0.0000051813468,0.0017870679],"genre_scores_gemma":[0.99931526,0.00002917086,0.00005019201,0.000011697441,0.000011445469,0.0000055111445,0.000109734865,6.3184103e-7,0.0004663387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998662,0.00053480413,0.00009879914,0.00014821583,0.00026067867,0.00029547187],"domain_scores_gemma":[0.9851185,0.0032130044,0.009395302,0.00056078343,0.00036238748,0.001349981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012773819,0.00015133819,0.00018846993,0.00063110597,0.00040701614,0.00073813583,0.00023511764,0.00036851288,0.003961359],"category_scores_gemma":[0.00810144,0.000076791664,0.00011899136,0.00061041256,0.00022539076,0.0005944777,0.00088917254,0.00034466092,0.00029294996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031496293,0.000160229,0.969597,0.00005288258,0.000062451014,0.00023678235,0.0014745581,0.00039848546,0.0010939853,0.0008757823,0.0015187772,0.02421417],"study_design_scores_gemma":[0.00001975981,0.0001186283,0.99148214,0.00002047686,0.000041781957,0.00015942947,0.0017260958,0.0017676114,0.000812409,0.0005685403,0.0032718235,0.0000113742435],"about_ca_topic_score_codex":0.003079132,"about_ca_topic_score_gemma":0.005466329,"teacher_disagreement_score":0.003961359,"about_ca_system_score_codex":0.0004074455,"about_ca_system_score_gemma":0.00037327004,"threshold_uncertainty_score":0.0132520795},"labels":[],"label_agreement":null},{"id":"W4364376416","doi":"10.1108/s0731-90532023000045b012","title":"Identification of Beliefs in the Presence of Disaster Risk and Misspecification","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Econometrics; Economics; Equity premium puzzle; Capital asset pricing model; Ambiguity; Population; Estimator; Mathematical economics; Mathematics; Computer science; Statistics","score_opus":0.0442323056076323,"score_gpt":0.21671325925592394,"score_spread":0.17248095364829164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364376416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9577602,0.00014250849,0.03677077,0.0011533137,0.000014015299,0.000020109195,0.000108369975,0.000029990802,0.004000765],"genre_scores_gemma":[0.99886346,0.000025362067,0.0007768972,0.000022645412,0.000005370223,0.0000028164277,0.00003414594,0.0000020477619,0.00026737084],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988803,0.00044991914,0.000074687196,0.00022963497,0.00015484921,0.00021065779],"domain_scores_gemma":[0.96813375,0.021981964,0.0065371147,0.0016235335,0.0010032143,0.0007204379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034804314,0.00026912638,0.00065827224,0.0006047785,0.00032974506,0.0020760193,0.00081891584,0.0013199986,0.0029661579],"category_scores_gemma":[0.03817914,0.0003587274,0.0004699655,0.0005349898,0.0012690871,0.0025770208,0.0020544934,0.0022218376,0.00012989451],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007476135,0.0003688842,0.46865806,0.00020030198,0.0004242132,0.0017667235,0.0043740333,0.1908276,0.0025282346,0.2744668,0.0019647668,0.053672854],"study_design_scores_gemma":[0.00004723429,0.0002068385,0.12726386,0.000073970725,0.00013735828,0.00030998653,0.0031170116,0.57479346,0.0011512456,0.29142183,0.0013776291,0.00009950091],"about_ca_topic_score_codex":0.005306247,"about_ca_topic_score_gemma":0.0036809756,"teacher_disagreement_score":0.005306247,"about_ca_system_score_codex":0.0010901723,"about_ca_system_score_gemma":0.00057498616,"threshold_uncertainty_score":0.01840651},"labels":[],"label_agreement":null},{"id":"W4365791380","doi":"10.2139/ssrn.4405877","title":"Day Traders, Noise, and Cost of Immediacy","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Immediacy; Noise (video); Business; Economics; Computer science; Artificial intelligence; Philosophy; Epistemology","score_opus":0.02100553851927019,"score_gpt":0.21553328661237006,"score_spread":0.19452774809309986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365791380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622011,0.0017439291,0.010829945,0.0014439594,0.00007325598,0.000023126939,0.00020984195,0.000057873698,0.023416903],"genre_scores_gemma":[0.9983051,0.00014844684,0.00030832764,0.000030880274,0.00003751692,0.000003245096,0.00001995692,0.00000808507,0.0011383822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99913484,0.00024468752,0.00008570463,0.00016653395,0.00022172648,0.00014646018],"domain_scores_gemma":[0.9313803,0.054759987,0.007101369,0.0031607456,0.0013774708,0.0022202556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026044075,0.00023447449,0.00075045665,0.00081850507,0.0004612793,0.0049008154,0.00075490546,0.0018789342,0.00997347],"category_scores_gemma":[0.047233935,0.00037623884,0.0003216171,0.00064926344,0.0015309382,0.005646916,0.0014179061,0.0019642715,0.00047496066],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0076970365,0.001526141,0.34420586,0.0007760217,0.00068295305,0.0025424128,0.0029315224,0.11738483,0.012527107,0.39049286,0.0052143345,0.11401891],"study_design_scores_gemma":[0.00040877872,0.00099063,0.21188937,0.00013964268,0.00049477094,0.0019164593,0.0025827603,0.14494264,0.002780562,0.62864393,0.004911725,0.00029874107],"about_ca_topic_score_codex":0.00082479924,"about_ca_topic_score_gemma":0.0008679752,"teacher_disagreement_score":0.00997347,"about_ca_system_score_codex":0.00078540127,"about_ca_system_score_gemma":0.0004228915,"threshold_uncertainty_score":0.033364594},"labels":[],"label_agreement":null},{"id":"W4366124141","doi":"10.1142/s2382626620500112","title":"Spot Arbitrage in FX Market and Algorithmic Trading: Speed is Not of the Essence","year":2020,"lang":"en","type":"article","venue":"Market Microstructure and Liquidity","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Arbitrage; Spot market; Algorithmic trading; Spot contract; Financial economics; Business; Sweet spot; Economics; Commerce; Monetary economics; Computer science; Futures contract; Speed skating; Engineering; Simulation; Electrical engineering","score_opus":0.02160954212523419,"score_gpt":0.19843191880042102,"score_spread":0.17682237667518683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366124141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9148918,0.0027563397,0.060004808,0.0019050665,0.00007220959,0.000034464858,0.000077353674,0.00010164323,0.020156354],"genre_scores_gemma":[0.9950157,0.00040975265,0.0033462164,0.00004352339,0.0000872294,0.0000066339203,0.00001759163,0.000011285431,0.0010621407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945885,0.0001536669,0.00004519505,0.00012535662,0.00014138164,0.00007559953],"domain_scores_gemma":[0.9919011,0.0049479376,0.0019079364,0.00079001405,0.00025212145,0.00020089989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020938814,0.00036928165,0.00068435783,0.0009129368,0.00033559033,0.0030997614,0.00053450075,0.0009993217,0.0038190046],"category_scores_gemma":[0.013430575,0.00032589503,0.00042418306,0.0007404305,0.002316867,0.009423356,0.0010153358,0.000952926,0.00024068783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076141156,0.00013282338,0.047590654,0.00023895694,0.00015461449,0.00081961055,0.00053474505,0.08211087,0.0094916625,0.7820999,0.0010932873,0.07497142],"study_design_scores_gemma":[0.00012258912,0.00029623267,0.041785985,0.00007389795,0.00007441733,0.0010611911,0.0003448447,0.28212038,0.0029508974,0.66759974,0.0034976816,0.000072119634],"about_ca_topic_score_codex":0.00064572867,"about_ca_topic_score_gemma":0.00028901588,"teacher_disagreement_score":0.0038190046,"about_ca_system_score_codex":0.00046394492,"about_ca_system_score_gemma":0.00039356828,"threshold_uncertainty_score":0.012775898},"labels":[],"label_agreement":null},{"id":"W4366126077","doi":"10.2139/ssrn.4420542","title":"Day Traders, Noise, and Cost of Immediacy","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Immediacy; Noise (video); Business; Computer science; Economics; Artificial intelligence; Philosophy; Epistemology","score_opus":0.02100553851927019,"score_gpt":0.21553328661237006,"score_spread":0.19452774809309986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366126077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622011,0.0017439291,0.010829945,0.0014439594,0.00007325598,0.000023126939,0.00020984195,0.000057873698,0.023416903],"genre_scores_gemma":[0.9983051,0.00014844684,0.00030832764,0.000030880274,0.00003751692,0.000003245096,0.00001995692,0.00000808507,0.0011383822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913484,0.00024468752,0.00008570463,0.00016653395,0.00022172648,0.00014646018],"domain_scores_gemma":[0.9313803,0.054759987,0.007101369,0.0031607456,0.0013774708,0.0022202556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026044075,0.00023447449,0.00075045665,0.00081850507,0.0004612793,0.0049008154,0.00075490546,0.0018789342,0.00997347],"category_scores_gemma":[0.047233935,0.00037623884,0.0003216171,0.00064926344,0.0015309382,0.005646916,0.0014179061,0.0019642715,0.00047496066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0076970365,0.001526141,0.34420586,0.0007760217,0.00068295305,0.0025424128,0.0029315224,0.11738483,0.012527107,0.39049286,0.0052143345,0.11401891],"study_design_scores_gemma":[0.00040877872,0.00099063,0.21188937,0.00013964268,0.00049477094,0.0019164593,0.0025827603,0.14494264,0.002780562,0.62864393,0.004911725,0.00029874107],"about_ca_topic_score_codex":0.00082479924,"about_ca_topic_score_gemma":0.0008679752,"teacher_disagreement_score":0.00997347,"about_ca_system_score_codex":0.00078540127,"about_ca_system_score_gemma":0.0004228915,"threshold_uncertainty_score":0.033364594},"labels":[],"label_agreement":null},{"id":"W4366383377","doi":"10.1016/j.jfineco.2023.04.002","title":"Asset holders’ consumption risk and tests of conditional CCAPM","year":2023,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capital asset pricing model; Consumption-based capital asset pricing model; Consumption (sociology); Econometrics; Economics; Equity (law); Asset (computer security); Odds; Financial economics; Logistic regression; Computer science","score_opus":0.04023199606094847,"score_gpt":0.23248617592981466,"score_spread":0.1922541798688662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366383377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927937,0.00009343667,0.0037786516,0.0002664961,0.000011642068,0.000015587324,0.00039162862,0.000033393706,0.0026155738],"genre_scores_gemma":[0.9991709,0.000021812855,0.00024038312,0.000012150968,0.0000139349795,0.0000098883565,0.00024463242,0.000005103379,0.00028117976],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99669003,0.0016052098,0.00019812075,0.0006018036,0.0004071067,0.00049781863],"domain_scores_gemma":[0.86002284,0.10721977,0.019617563,0.008480894,0.0018751993,0.0027836915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009598054,0.0003840493,0.00065235875,0.0011139117,0.00045142166,0.0015276282,0.0011005569,0.0010339967,0.008598687],"category_scores_gemma":[0.06777278,0.00025252454,0.00079145195,0.0016583067,0.0016099289,0.0021065068,0.0016980626,0.0017400607,0.00057268166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001360559,0.0004141354,0.922962,0.0000759039,0.00053959043,0.00047446953,0.0008832959,0.015111261,0.0012955605,0.026276276,0.001433233,0.029173726],"study_design_scores_gemma":[0.00008385212,0.00079441624,0.8090141,0.000035297187,0.00016479945,0.00042763297,0.00079419924,0.16290198,0.0019862473,0.022502905,0.0012345052,0.00006005124],"about_ca_topic_score_codex":0.00432871,"about_ca_topic_score_gemma":0.0016525129,"teacher_disagreement_score":0.009598054,"about_ca_system_score_codex":0.00059817795,"about_ca_system_score_gemma":0.00054923806,"threshold_uncertainty_score":0.05076003},"labels":[],"label_agreement":null},{"id":"W4366490424","doi":"10.1016/j.jmateco.2023.102847","title":"Level-<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\" id=\"d1e208\" altimg=\"si394.svg\"><mml:mi>k</mml:mi></mml:math> predatory trading","year":2023,"lang":"lv","type":"article","venue":"Journal of Mathematical Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Predation; Arbitrage; Volatility (finance); Mathematics; Mathematical economics; Econometrics; Biology; Economics; Ecology; Financial economics","score_opus":0.04334318530934053,"score_gpt":0.2411329660429397,"score_spread":0.19778978073359918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366490424","genre_codex":"software","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014058669,0.00023463643,0.15420994,0.003275865,0.0011163601,0.00039302956,0.19052145,0.3535292,0.2953135],"genre_scores_gemma":[0.02521599,0.00058226316,0.123665035,0.0025722208,0.0006683477,0.00084250193,0.26035595,0.24284485,0.34325287],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99888736,0.00014966841,0.00014096807,0.00018729598,0.00048616246,0.00014846757],"domain_scores_gemma":[0.9957585,0.0010690041,0.00017193088,0.0012498908,0.0014246159,0.00032616354],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011526116,0.0020786962,0.0014944823,0.0017862014,0.0010701984,0.008289007,0.004160527,0.0028934828,0.7011479],"category_scores_gemma":[0.006990569,0.0016680697,0.0019203621,0.0024839232,0.00060756033,0.006976479,0.0032184476,0.003716094,0.6172863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012016879,0.00005201644,0.0002619189,0.00034407811,0.000015146758,0.000054180487,0.000098102944,0.000506417,0.0015477072,0.019779531,0.9457225,0.031498235],"study_design_scores_gemma":[0.000065969616,0.00001836332,0.00054076593,0.0001164549,0.000009205468,0.00009044002,0.000045586785,0.003222622,0.006442614,0.015955828,0.97344613,0.000045916597],"about_ca_topic_score_codex":0.0076397075,"about_ca_topic_score_gemma":0.008353049,"teacher_disagreement_score":0.7011479,"about_ca_system_score_codex":0.002086262,"about_ca_system_score_gemma":0.0016516903,"threshold_uncertainty_score":0.4262762},"labels":[],"label_agreement":null},{"id":"W4366496849","doi":"10.1093/rof/rfad009","title":"The Term Structure of Short Selling Costs","year":2023,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Earnings; Surprise; Stock (firearms); Term (time); Earnings surprise; Financial economics; Intuition; Short interest ratio; Monetary economics; Transaction cost; Microeconomics; Finance; Earnings per share; Post-earnings-announcement drift","score_opus":0.03995842919522224,"score_gpt":0.23990960612506262,"score_spread":0.19995117692984038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366496849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8999647,0.006367637,0.057609156,0.0019414834,0.00014921316,0.00006398109,0.0009508085,0.00013263448,0.03282038],"genre_scores_gemma":[0.99430424,0.0006166013,0.0010871586,0.000035519333,0.00006767256,0.000012630927,0.0001737257,0.000012724736,0.0036896314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994373,0.00007545269,0.000054872016,0.000095749696,0.00023518162,0.00010141095],"domain_scores_gemma":[0.99072015,0.004981914,0.0025340854,0.00043652917,0.00087607384,0.00045115754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012845938,0.00036018857,0.0006022935,0.0011928241,0.00031536294,0.0026178667,0.00081468135,0.0010664313,0.0055217477],"category_scores_gemma":[0.010551953,0.00033085758,0.00059480837,0.00083023094,0.0008170888,0.0031079636,0.00063201186,0.0014092596,0.00041306953],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088259013,0.00034399919,0.08195129,0.00073935237,0.00048440282,0.0016915423,0.00054608966,0.20062056,0.020993285,0.56892574,0.006241735,0.11657946],"study_design_scores_gemma":[0.00007010837,0.00047579923,0.16839266,0.00019675698,0.00031980698,0.0015323544,0.00043609587,0.30723,0.0036257983,0.51076883,0.0067529585,0.00019888768],"about_ca_topic_score_codex":0.0024058234,"about_ca_topic_score_gemma":0.0013146908,"teacher_disagreement_score":0.0055217477,"about_ca_system_score_codex":0.0017495038,"about_ca_system_score_gemma":0.00060152105,"threshold_uncertainty_score":0.018472075},"labels":[],"label_agreement":null},{"id":"W4366688785","doi":"10.1111/ajfs.12422","title":"Weak Instruments, Degree of Risk Aversion and Equity Premium: Evidence from Singapore, South Korea and Taiwan","year":2023,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Risk aversion (psychology); Equity premium puzzle; Econometrics; Capital asset pricing model; Equity (law); Consumption (sociology); Risk premium; Instrumental variable; Financial economics; Expected utility hypothesis","score_opus":0.09257280926373264,"score_gpt":0.2692023382685199,"score_spread":0.1766295290047873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366688785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990876,0.00007999966,0.00009584938,0.00004209198,0.0000014080456,0.0000021904077,0.00019602675,9.74684e-7,0.0004938477],"genre_scores_gemma":[0.9993333,0.00007810861,0.000050815488,0.000015724947,0.0000024702213,0.0000023364246,0.00038596036,0.000001111711,0.00013008378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995359,0.00015706904,0.00008539728,0.00007461273,0.00009833967,0.00004864468],"domain_scores_gemma":[0.9903098,0.0030747382,0.0042646565,0.0007458881,0.000997005,0.00060790643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015127661,0.00022061309,0.00026165217,0.0010064911,0.00025013453,0.0008041866,0.00027589893,0.00024978348,0.0017711814],"category_scores_gemma":[0.004864157,0.00013563817,0.00037818318,0.001742029,0.0005740583,0.00049139385,0.000884091,0.00046627127,0.00024867235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084507315,0.000036412646,0.99421483,0.00003492582,0.00020698717,0.000219035,0.0007811942,0.0002023746,0.00045298538,0.00030055884,0.00020424838,0.0032621217],"study_design_scores_gemma":[0.000010159409,0.00005209568,0.99645495,0.000024582923,0.00009197595,0.0001550348,0.0015282346,0.0005933967,0.00035389973,0.00020639738,0.00051926216,0.000010167744],"about_ca_topic_score_codex":0.009740528,"about_ca_topic_score_gemma":0.010681955,"teacher_disagreement_score":0.009740528,"about_ca_system_score_codex":0.0001611816,"about_ca_system_score_gemma":0.00025007373,"threshold_uncertainty_score":0.019367695},"labels":[],"label_agreement":null},{"id":"W4366716703","doi":"10.2139/ssrn.4418694","title":"Look Behind the Curtain: The Direct and Indirect Impact of Non-Cognitive Skills on Stock Market Participation","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Stock market; Stock (firearms); Iron Curtain; Cognition; Business; Psychology; Engineering; Political science; History; Law; Mechanical engineering; Politics","score_opus":0.026364149685926135,"score_gpt":0.2733927435187458,"score_spread":0.2470285938328197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366716703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911504,0.0003331922,0.0002117947,0.0011221069,0.000022463799,0.0000069070247,0.00030082956,0.000013866813,0.00683845],"genre_scores_gemma":[0.9970229,0.00008237696,0.000060369803,0.00016092458,0.000033199543,0.0000051122606,0.00009188465,0.000008442336,0.0025347963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992275,0.00023323238,0.000028636807,0.00015057625,0.000114911905,0.0002451552],"domain_scores_gemma":[0.9631352,0.023176584,0.0037948326,0.001621952,0.00081529573,0.0074561066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013745859,0.0003302012,0.0005829575,0.0005543158,0.00049281213,0.0026161713,0.0007308442,0.0018519263,0.024669552],"category_scores_gemma":[0.019808944,0.00029719246,0.0005148803,0.00068192877,0.001091213,0.0014695522,0.0020283223,0.0019323261,0.002291217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019242183,0.0014682028,0.9507276,0.00013751531,0.0005221952,0.00048750665,0.0021216238,0.001201506,0.003223919,0.0040487186,0.0025675748,0.031569455],"study_design_scores_gemma":[0.000064635016,0.00023038888,0.9917441,0.000028906512,0.00017447295,0.00005756581,0.00082959415,0.0009131578,0.00041356825,0.004744415,0.0007834517,0.000015702684],"about_ca_topic_score_codex":0.008678898,"about_ca_topic_score_gemma":0.010743471,"teacher_disagreement_score":0.024669552,"about_ca_system_score_codex":0.00038320172,"about_ca_system_score_gemma":0.00085716037,"threshold_uncertainty_score":0.082527876},"labels":[],"label_agreement":null},{"id":"W4366769097","doi":"10.5539/ijef.v15n5p86","title":"Measuring Volatility Persistence and Asymmetric Effects Around Index Rebalancing of Nifty Indices","year":2023,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Econometrics; Stock exchange; Index (typography); Economics; Autoregressive conditional heteroskedasticity; Financial economics; Stock (firearms); Composite index; Stock market index; Benchmark (surveying); Monetary economics; Finance; Computer science; Biology; Stock market; Geography","score_opus":0.0397522908053222,"score_gpt":0.2167739437629846,"score_spread":0.1770216529576624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366769097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99913055,0.000034624416,0.00022483822,0.000029046918,0.0000033938677,0.0000034016673,0.000063756,0.000006561733,0.0005039808],"genre_scores_gemma":[0.9995945,0.000022000053,0.0001165162,0.000007532288,0.000007802995,0.0000016443504,0.00015658945,0.000001680283,0.00009177185],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952745,0.00006398408,0.000057734,0.00009288973,0.00017137517,0.000086562606],"domain_scores_gemma":[0.9925654,0.0018231388,0.004384345,0.0003680803,0.00048740313,0.00037166625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008702513,0.00019491013,0.0002663156,0.0009111354,0.000191235,0.0009090166,0.00026976937,0.000425272,0.0008118702],"category_scores_gemma":[0.007982321,0.00010831489,0.00022549136,0.00072796684,0.00024856284,0.00078492844,0.00047848673,0.00064571016,0.0001863965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005749022,0.00018484847,0.9617776,0.00003094822,0.00013529607,0.0005147597,0.00031896852,0.0068891784,0.010557078,0.0005794311,0.00031166404,0.018125348],"study_design_scores_gemma":[0.00001164263,0.00032255056,0.9794636,0.000010081133,0.000051696803,0.00023557694,0.00041262107,0.015006728,0.0036756387,0.00043563225,0.00034977592,0.00002446238],"about_ca_topic_score_codex":0.002086143,"about_ca_topic_score_gemma":0.0022566144,"teacher_disagreement_score":0.002086143,"about_ca_system_score_codex":0.00031078648,"about_ca_system_score_gemma":0.0002483951,"threshold_uncertainty_score":0.0046024323},"labels":[],"label_agreement":null},{"id":"W4367367797","doi":"10.1111/jmcb.13050","title":"Managing Bubbles in Experimental Asset Markets with Monetary Policy","year":2023,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Monetary policy; Interest rate; Economics; Asset (computer security); Monetary economics; Proxy (statistics); Computer science","score_opus":0.023294512812029513,"score_gpt":0.2316763465014468,"score_spread":0.2083818336894173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367367797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904857,0.00017143556,0.0062797847,0.00047926017,0.00016474412,0.00017257035,0.00014430292,0.000118300064,0.0019839515],"genre_scores_gemma":[0.9951108,0.000095088595,0.0034092765,0.00020176037,0.000040873543,0.000271425,0.00007412248,0.00002021366,0.0007763644],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992976,0.00031508243,0.00006718595,0.000101853075,0.00011173374,0.00010652866],"domain_scores_gemma":[0.9912425,0.0063803922,0.0010899715,0.00064506073,0.00025239872,0.0003896666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021397695,0.00051901466,0.0006997428,0.00021589056,0.00031066884,0.0008922861,0.00072496734,0.0011350386,0.004645449],"category_scores_gemma":[0.009070016,0.0002896291,0.00032280775,0.0001866024,0.0011037193,0.00095445116,0.00078393385,0.0015946156,0.0003164891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.056369144,0.06450597,0.024679013,0.0027960283,0.0011371613,0.0012606636,0.00238705,0.2188587,0.4657731,0.058076315,0.005939294,0.09821765],"study_design_scores_gemma":[0.016864872,0.059568685,0.017021663,0.00024777045,0.0006416187,0.00032961462,0.0007665092,0.5704001,0.1891168,0.13402133,0.010682458,0.00033850485],"about_ca_topic_score_codex":0.0008034475,"about_ca_topic_score_gemma":0.0004682455,"teacher_disagreement_score":0.004645449,"about_ca_system_score_codex":0.0004245356,"about_ca_system_score_gemma":0.0005264435,"threshold_uncertainty_score":0.01554054},"labels":[],"label_agreement":null},{"id":"W4375858998","doi":"10.1016/j.frl.2023.103991","title":"Circumventing SEC Rule 201 short sale restrictions with options","year":2023,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Autorité des Marchés Financiers","keywords":"Circuit breaker; Economics; Stock (firearms); Business; Position (finance); Monetary economics; Financial economics; Finance; Engineering","score_opus":0.10680717966054466,"score_gpt":0.3015943853240584,"score_spread":0.19478720566351376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375858998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56477153,0.0007997263,0.14252123,0.0053360285,0.000940046,0.00020859878,0.00046361962,0.0013287936,0.28363043],"genre_scores_gemma":[0.9772111,0.00011727146,0.0066880914,0.0006079576,0.00019627008,0.000039536244,0.00010565524,0.00010322723,0.014930815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9959318,0.0008762063,0.00033677058,0.0005370248,0.0016534581,0.0006647315],"domain_scores_gemma":[0.98404783,0.0071255118,0.0016209325,0.0053417166,0.0013844797,0.00047954285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042426083,0.0004211196,0.000968996,0.0005262561,0.0009420239,0.0046474827,0.0018517704,0.002933112,0.011936801],"category_scores_gemma":[0.02333377,0.00045274463,0.0007340138,0.00053689245,0.001802456,0.0033712124,0.0020749834,0.0051565007,0.0026290256],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038348214,0.0002589181,0.0047402815,0.000094026094,0.00006954398,0.0009982463,0.0004617506,0.008971691,0.010077576,0.88196534,0.015420728,0.076558284],"study_design_scores_gemma":[0.00022793333,0.0003898688,0.004769066,0.0001270421,0.00010167663,0.0007646116,0.00029225534,0.116080806,0.0150809,0.8118175,0.050273452,0.000074778705],"about_ca_topic_score_codex":0.0010528293,"about_ca_topic_score_gemma":0.0011662157,"teacher_disagreement_score":0.011936801,"about_ca_system_score_codex":0.00061501976,"about_ca_system_score_gemma":0.002136267,"threshold_uncertainty_score":0.03993261},"labels":[],"label_agreement":null},{"id":"W4375949197","doi":"10.1287/mnsc.2023.4734","title":"On the Nature of (Jump) Skewness Risk Premia","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Skewness; Risk premium; Financial economics; Capital asset pricing model; Portfolio; Economics; Asset allocation; Business; Econometrics; Actuarial science; Finance","score_opus":0.019570858409780303,"score_gpt":0.21850703621958406,"score_spread":0.19893617780980377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375949197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81468713,0.0076735895,0.12968667,0.0058657606,0.00011198614,0.000064628606,0.00081837765,0.0002613216,0.040830523],"genre_scores_gemma":[0.99375474,0.0012596046,0.002990712,0.00012054581,0.00013052757,0.000014412613,0.0001405612,0.00002915618,0.0015596709],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99969375,0.00006865402,0.000019562887,0.00007602294,0.00008605413,0.000055968892],"domain_scores_gemma":[0.9932035,0.0048166015,0.0010005527,0.0003041214,0.00035577748,0.00031941637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014848489,0.00038673254,0.0004066632,0.0011634002,0.00027934965,0.0021919988,0.00044220206,0.0008996968,0.0058625224],"category_scores_gemma":[0.011592788,0.00025756942,0.00041474288,0.0006855178,0.0012125948,0.0030839986,0.0007086955,0.0011697075,0.00041953492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005449684,0.00017323282,0.09099173,0.00037383902,0.00026950738,0.0011428155,0.0005104567,0.055721756,0.015353239,0.70599437,0.004834758,0.12408934],"study_design_scores_gemma":[0.00004683668,0.00014326532,0.12428953,0.00021209761,0.00008890109,0.0004251423,0.00025963172,0.20584312,0.0026801347,0.662493,0.0034048334,0.00011358442],"about_ca_topic_score_codex":0.0011462725,"about_ca_topic_score_gemma":0.0012145061,"teacher_disagreement_score":0.0058625224,"about_ca_system_score_codex":0.00059110497,"about_ca_system_score_gemma":0.00035948365,"threshold_uncertainty_score":0.019612134},"labels":[],"label_agreement":null},{"id":"W4376134510","doi":"10.1137/22m1530070","title":"Beating a Benchmark: Dynamic Programming May Not Be the Right Numerical Approach","year":2023,"lang":"en","type":"article","venue":"SIAM Journal on Financial Mathematics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Benchmark (surveying); Dynamic programming; Mathematical optimization; Reinforcement learning; Bellman equation; Optimal control; Computer science; Stochastic control; Optimization problem; Mathematics; Artificial intelligence","score_opus":0.03803374853306173,"score_gpt":0.2483354425064158,"score_spread":0.21030169397335405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376134510","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04806154,0.0008292391,0.92746836,0.0020324208,0.000113277856,0.000085456224,0.00007044443,0.0002598424,0.021079395],"genre_scores_gemma":[0.8793628,0.0004100067,0.114821546,0.00030705507,0.00005373299,0.00017007542,0.000071900075,0.000076032054,0.0047268574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916065,0.0004022483,0.000037934846,0.00013083561,0.00019521499,0.000073226576],"domain_scores_gemma":[0.99752516,0.0016465215,0.00035661302,0.00015540006,0.00021547834,0.000100807716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023953891,0.0006136707,0.0005243509,0.000501917,0.0003552413,0.001495886,0.0008590131,0.0012747215,0.003927783],"category_scores_gemma":[0.010703689,0.00026148133,0.00035709998,0.00043894115,0.0010695517,0.0017730278,0.0009948532,0.0015900899,0.00023499058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051677194,0.00004964413,0.00075936475,0.000079802005,0.000034576173,0.000071919036,0.000039025108,0.8588822,0.00086098845,0.11044265,0.0013016182,0.027426517],"study_design_scores_gemma":[0.000005863133,0.000024303818,0.00008805429,0.000012347671,0.0000037929349,0.000010590965,0.000010161238,0.9786981,0.00023913849,0.02032643,0.00057700434,0.000004260832],"about_ca_topic_score_codex":0.0026655116,"about_ca_topic_score_gemma":0.0024576834,"teacher_disagreement_score":0.003927783,"about_ca_system_score_codex":0.0012280634,"about_ca_system_score_gemma":0.0011470114,"threshold_uncertainty_score":0.013139784},"labels":[],"label_agreement":null},{"id":"W4376144005","doi":"10.54097/hbem.v10i.8131","title":"An Empirical Study of NASDAQ Composite based on the Asset Pricing Models","year":2023,"lang":"en","type":"article","venue":"Highlights in Business Economics and Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Capital asset pricing model; Econometrics; Profitability index; Composite index; Economics; Financial economics; Stock (firearms); Consumption-based capital asset pricing model; Actuarial science; Finance","score_opus":0.051325417477654435,"score_gpt":0.24558145374617357,"score_spread":0.19425603626851914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376144005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854451,0.0006435978,0.007012977,0.0004841649,0.000036548743,0.000058030957,0.0006274903,0.00006911928,0.005623079],"genre_scores_gemma":[0.99623245,0.00023370961,0.0019566996,0.00003291102,0.000024892177,0.000027279872,0.001000691,0.000010597027,0.0004807558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99625117,0.0015305721,0.00025483916,0.0005060625,0.0011545229,0.00030287151],"domain_scores_gemma":[0.96086663,0.026828034,0.004114108,0.001962078,0.0048249257,0.001404193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009130584,0.00065424596,0.00079017045,0.002945342,0.0006841397,0.0028499693,0.0011465717,0.0007676833,0.003345876],"category_scores_gemma":[0.05074341,0.00027168772,0.0008898989,0.0045112893,0.0007395448,0.003738795,0.00088824076,0.0021949771,0.00075152004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015292474,0.00040881988,0.9325113,0.000077414275,0.00022113592,0.00039547659,0.00083202077,0.018465392,0.00016379851,0.012364215,0.0027752877,0.031632125],"study_design_scores_gemma":[0.000031544725,0.00036927438,0.61627024,0.00012995885,0.000119047414,0.00048238394,0.0025851899,0.3656086,0.00038206723,0.008871616,0.0050648735,0.000085199434],"about_ca_topic_score_codex":0.016189098,"about_ca_topic_score_gemma":0.0058173914,"teacher_disagreement_score":0.016189098,"about_ca_system_score_codex":0.0017358689,"about_ca_system_score_gemma":0.0012835384,"threshold_uncertainty_score":0.04828769},"labels":[],"label_agreement":null},{"id":"W4376274547","doi":"10.3390/jrfm16050270","title":"The Efficiency of Weekly Option Prices around Earnings Announcements","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Straddle; Earnings; Earnings response coefficient; Economics; Volatility (finance); Stock (firearms); Financial economics; Post-earnings-announcement drift; Volatility smile; Finance","score_opus":0.01561830773104776,"score_gpt":0.20992990985467552,"score_spread":0.19431160212362777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376274547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98674494,0.0003581158,0.0085741775,0.00019151198,0.000020857166,0.00002225071,0.00017181026,0.000078896905,0.0038375799],"genre_scores_gemma":[0.9984084,0.00008746707,0.00072204083,0.0000133959065,0.000026738708,0.000003915358,0.00015579908,0.000015903892,0.0005663112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829537,0.000446836,0.00020106547,0.00030590015,0.0005243404,0.0002264377],"domain_scores_gemma":[0.96082187,0.024316326,0.010299705,0.0021845503,0.0016406274,0.0007369412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003620493,0.00032224442,0.0005690069,0.0018773566,0.00028336607,0.0024530466,0.0006438924,0.0006812331,0.0028404384],"category_scores_gemma":[0.052061386,0.00038746448,0.00036871285,0.0013333961,0.00057827856,0.0027960355,0.00078482786,0.0008762659,0.0005727712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014076256,0.00049004995,0.7648088,0.00014533503,0.00066000863,0.0011063938,0.0008913198,0.06429549,0.012725605,0.01970987,0.0017662181,0.1319933],"study_design_scores_gemma":[0.000058093032,0.00033290882,0.87161267,0.00004322043,0.00014750667,0.0006393764,0.0005114845,0.104947366,0.004582098,0.015113551,0.0019042171,0.00010744752],"about_ca_topic_score_codex":0.0022365982,"about_ca_topic_score_gemma":0.0019120388,"teacher_disagreement_score":0.003620493,"about_ca_system_score_codex":0.00064696925,"about_ca_system_score_gemma":0.0003486809,"threshold_uncertainty_score":0.019147217},"labels":[],"label_agreement":null},{"id":"W4376619479","doi":"10.1016/j.iref.2023.05.001","title":"High frequency market making during stressed periods","year":2023,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; Southern Finance Association","keywords":"Adverse selection; Market liquidity; Volatility (finance); Monetary economics; Intermediary; Business; Market maker; Economics; Financial economics; Finance; Stock market","score_opus":0.02930479124986998,"score_gpt":0.25143794640484257,"score_spread":0.2221331551549726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376619479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9572047,0.0018092361,0.003654611,0.0014179503,0.00017157124,0.000022516779,0.00026199367,0.000054066895,0.03540333],"genre_scores_gemma":[0.997428,0.00036126043,0.00021469372,0.00006573102,0.00010508707,0.000004926781,0.00007775268,0.000008192579,0.001734371],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99979895,0.00002993735,0.0000084903895,0.000039091192,0.000049655933,0.000073863186],"domain_scores_gemma":[0.9986076,0.0002973868,0.00048303802,0.00008652783,0.0002019533,0.00032353646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055890164,0.00014216252,0.00020584954,0.0007921427,0.00044275922,0.002051047,0.00030151964,0.00060928403,0.00528402],"category_scores_gemma":[0.003214832,0.00011271395,0.00012616742,0.0006000289,0.00049831043,0.0015400463,0.0008652209,0.00049868226,0.0006373127],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020333955,0.00038059702,0.3251359,0.0004999172,0.0003141305,0.005269006,0.0140534425,0.0061714496,0.043384504,0.1830892,0.020788545,0.39888003],"study_design_scores_gemma":[0.000048761307,0.00020030647,0.8392858,0.00013868036,0.00006631796,0.0010914305,0.007981289,0.004442559,0.0024356209,0.100198574,0.044065062,0.000045556942],"about_ca_topic_score_codex":0.0011112362,"about_ca_topic_score_gemma":0.001085023,"teacher_disagreement_score":0.00528402,"about_ca_system_score_codex":0.00039412995,"about_ca_system_score_gemma":0.00021520742,"threshold_uncertainty_score":0.01767677},"labels":[],"label_agreement":null},{"id":"W4376641521","doi":"10.1287/mnsc.2023.4784","title":"A One-Factor Model of Corporate Bond Premia","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Bond; Corporate bond; Volatility (finance); Risk aversion (psychology); Financial economics; Equity (law); Econometrics; Actuarial science; Finance; Expected utility hypothesis","score_opus":0.11154028426773958,"score_gpt":0.23391169467269074,"score_spread":0.12237141040495116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376641521","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14786273,0.0028060619,0.7611446,0.0062995865,0.0005642674,0.00046161583,0.008715835,0.0015347976,0.07061055],"genre_scores_gemma":[0.78146553,0.0031729424,0.051970586,0.0004646181,0.00046303708,0.00067373563,0.0032969222,0.0002732503,0.15821938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992084,0.00021847662,0.000041007028,0.0002820011,0.00012216499,0.00012794067],"domain_scores_gemma":[0.9984498,0.0005861086,0.00032676794,0.00016111632,0.00032162026,0.00015465824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020280995,0.0015395266,0.0016154174,0.0012910499,0.0007520499,0.0034376613,0.0036772632,0.0037584868,0.018725302],"category_scores_gemma":[0.0044731703,0.0009770837,0.0021668288,0.0019198541,0.001024834,0.0037987048,0.0009006268,0.0027483564,0.0053532524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018058773,0.00017164956,0.005490105,0.00016835381,0.00019111813,0.0007359566,0.00034976559,0.5309329,0.0017750608,0.42660272,0.00878307,0.024618763],"study_design_scores_gemma":[0.00008156377,0.00007918455,0.0021893487,0.000033930904,0.000075655335,0.00025514982,0.000044480224,0.9022461,0.00015578057,0.08973924,0.005039653,0.000059841845],"about_ca_topic_score_codex":0.015963593,"about_ca_topic_score_gemma":0.008328273,"teacher_disagreement_score":0.018725302,"about_ca_system_score_codex":0.0013530711,"about_ca_system_score_gemma":0.0015922982,"threshold_uncertainty_score":0.062642395},"labels":[],"label_agreement":null},{"id":"W4376648056","doi":"10.1093/rapstu/raad009","title":"Mutual Fund Proliferation and Entry Deterrence","year":2023,"lang":"en","type":"article","venue":"The Review of Asset Pricing Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; McGill University","funders":"Agence Nationale de la Recherche","keywords":"Mutual fund; Open-end fund; Closed-end fund; Business; Fund of funds; Dominance (genetics); Equity (law); Fund administration; Argument (complex analysis); Sovereign wealth fund; Financial economics; Economics; Finance; Institutional investor; Political science; Microeconomics; Market liquidity; Law; Corporate governance","score_opus":0.10774962324038664,"score_gpt":0.3144593474288894,"score_spread":0.20670972418850278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376648056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8740398,0.008578972,0.003810263,0.006812805,0.00010182662,0.000031933298,0.0001922626,0.000045334804,0.10638681],"genre_scores_gemma":[0.99673563,0.00057137135,0.00019974854,0.00016617542,0.000055620243,0.000005745424,0.00002491796,0.0000030525591,0.0022377376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9974547,0.0010155084,0.00012278919,0.00037328302,0.0006808062,0.00035280807],"domain_scores_gemma":[0.9756048,0.008486726,0.011932765,0.0009245978,0.001613851,0.0014373127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022924696,0.00017542815,0.00038897578,0.0014309564,0.0009146485,0.0035957135,0.00048740202,0.0009395889,0.0077870805],"category_scores_gemma":[0.018870808,0.000174837,0.0001783701,0.0011610028,0.0023078609,0.0028389937,0.0022191606,0.0012685161,0.0006829108],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047408143,0.00023072546,0.30527425,0.0006214537,0.00021111155,0.001218072,0.0062980726,0.0034324466,0.0023351468,0.3541003,0.02473919,0.30106515],"study_design_scores_gemma":[0.00015852653,0.00051888754,0.5301292,0.0015967002,0.00018584638,0.003464655,0.01913598,0.013696571,0.004211949,0.22022744,0.20649359,0.00018063717],"about_ca_topic_score_codex":0.0016700703,"about_ca_topic_score_gemma":0.0016108834,"teacher_disagreement_score":0.0077870805,"about_ca_system_score_codex":0.0010946889,"about_ca_system_score_gemma":0.00042268878,"threshold_uncertainty_score":0.026050389},"labels":[],"label_agreement":null},{"id":"W4376851309","doi":"10.2139/ssrn.4450391","title":"Firm Visibility, Liquidity, and Valuation for Thinly Traded Assets","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Valuation (finance); Market liquidity; Business; Financial system; Finance","score_opus":0.0859380897056399,"score_gpt":0.2828039347325851,"score_spread":0.19686584502694518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376851309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971854,0.00023726518,0.0010477981,0.00010070325,0.0000036183174,0.000004322245,0.00009278616,0.000008769462,0.0013194133],"genre_scores_gemma":[0.9994665,0.00005104993,0.000120157594,0.000004280485,0.000009937934,0.0000011767507,0.00008139594,0.0000023005498,0.00026314304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996419,0.00007816641,0.0000339582,0.000063967615,0.00007300462,0.000108936125],"domain_scores_gemma":[0.95105785,0.027423676,0.016613765,0.0013252647,0.0008269208,0.0027524899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015253258,0.00024643575,0.0004002303,0.0014802113,0.00030566554,0.003536441,0.0005416091,0.0009659597,0.0052511217],"category_scores_gemma":[0.02563197,0.00021307336,0.00031615194,0.0009804117,0.0007587073,0.003745463,0.0011684106,0.0013325467,0.00031149513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035713888,0.0007613366,0.8934849,0.0001734985,0.000281128,0.0016672502,0.0014631978,0.013043529,0.010182715,0.029703623,0.0016117571,0.04405568],"study_design_scores_gemma":[0.00012304181,0.0008418716,0.8283611,0.00012261754,0.00020443888,0.0013467859,0.0022216851,0.0718749,0.004180558,0.08955117,0.00107337,0.0000985114],"about_ca_topic_score_codex":0.0016967197,"about_ca_topic_score_gemma":0.0014584749,"teacher_disagreement_score":0.0052511217,"about_ca_system_score_codex":0.00044117993,"about_ca_system_score_gemma":0.00021863925,"threshold_uncertainty_score":0.01756674},"labels":[],"label_agreement":null},{"id":"W4377104007","doi":"10.3390/jrfm16050275","title":"Surviving Black Swans III: Timing US Sector Funds","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Passive management; Investment strategy; Variable (mathematics); Investment (military); Trading strategy; Economics; Financial economics; Project portfolio management; Index (typography); Stock (firearms); Fund of funds; Business; Econometrics; Monetary economics; Computer science; Mathematics; Engineering","score_opus":0.029635830277309826,"score_gpt":0.21208659051060066,"score_spread":0.18245076023329085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377104007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.902654,0.0016366061,0.040845312,0.0043283086,0.00029773958,0.00009680803,0.0010821382,0.0007005645,0.04835859],"genre_scores_gemma":[0.9886967,0.00019279437,0.0063430313,0.00022071565,0.000052945135,0.000022893139,0.00026543633,0.0000747946,0.0041306964],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993123,0.0002425772,0.00003285274,0.00014158107,0.00017032673,0.00010031084],"domain_scores_gemma":[0.9982743,0.00073676807,0.00038688615,0.0002288627,0.00019755577,0.00017555647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022465687,0.00037159704,0.0003925384,0.0006120472,0.00049469585,0.0017190106,0.000427628,0.0009757004,0.0031815958],"category_scores_gemma":[0.0143169835,0.0001915213,0.00021046866,0.0005335171,0.0006021357,0.0013567448,0.00095433387,0.00076212425,0.00069406594],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016996257,0.00019247016,0.20310801,0.00022165268,0.00020714756,0.0014320863,0.0018884819,0.12442455,0.007903055,0.24507405,0.05186889,0.36198],"study_design_scores_gemma":[0.0002452216,0.0007959419,0.07985764,0.0003414059,0.00012856335,0.0010017859,0.002682639,0.61732876,0.01866152,0.20373914,0.0750663,0.00015113933],"about_ca_topic_score_codex":0.008309937,"about_ca_topic_score_gemma":0.0097810915,"teacher_disagreement_score":0.008309937,"about_ca_system_score_codex":0.0010861524,"about_ca_system_score_gemma":0.00086346595,"threshold_uncertainty_score":0.016523123},"labels":[],"label_agreement":null},{"id":"W4377142953","doi":"10.1016/j.jfineco.2023.05.003","title":"Economic uncertainty and investor attention","year":2023,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Earnings; Capital asset pricing model; Economics; Stock (firearms); Investor behavior; Financial economics; Empirical evidence; Monetary economics; Econometrics; Finance; Test (biology)","score_opus":0.02658505873575031,"score_gpt":0.21601959530961717,"score_spread":0.18943453657386686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377142953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84404767,0.0022926389,0.0987698,0.005758597,0.00007737501,0.00009471184,0.00027492057,0.00011600795,0.04856825],"genre_scores_gemma":[0.9961279,0.00028465723,0.00092687015,0.00009701522,0.000036169957,0.000014976133,0.00002364355,0.0000032791945,0.0024854909],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992919,0.0002546872,0.000022472777,0.00013159803,0.00010620629,0.00019296492],"domain_scores_gemma":[0.99506503,0.0032196976,0.0010522009,0.00018585047,0.00023398268,0.00024321396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015375745,0.0005050479,0.00077672774,0.00068718876,0.00027807683,0.0020835747,0.0008185991,0.0016412821,0.0033449382],"category_scores_gemma":[0.009838455,0.0003701651,0.0005311121,0.00046480214,0.0006835972,0.0021433502,0.0010440532,0.0011421879,0.00026705652],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059289346,0.00033949543,0.037295904,0.00014492197,0.00027440107,0.0010335247,0.0006815024,0.508909,0.003970162,0.40797046,0.0023253085,0.036462385],"study_design_scores_gemma":[0.00013237682,0.0002781273,0.029322147,0.000047116933,0.00013679737,0.0003042825,0.00020286834,0.7379526,0.0007560663,0.22856642,0.0022257813,0.000075383316],"about_ca_topic_score_codex":0.0040453216,"about_ca_topic_score_gemma":0.0017091346,"teacher_disagreement_score":0.0040453216,"about_ca_system_score_codex":0.0015683052,"about_ca_system_score_gemma":0.00048908585,"threshold_uncertainty_score":0.011378884},"labels":[],"label_agreement":null},{"id":"W4377822642","doi":"10.1093/jjfinec/nbad015","title":"Test for Trading Costs Effect in a Portfolio Selection Problem with Recursive Utility","year":2023,"lang":"en","type":"article","venue":"Journal of Financial Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Transaction cost; Portfolio; Selection (genetic algorithm); Econometrics; Test (biology); Economics; Trading strategy; Generalized method of moments; Sample (material); Empirical research; Financial economics; Microeconomics; Computer science; Panel data; Mathematics; Statistics","score_opus":0.03161666346759601,"score_gpt":0.23207636710651766,"score_spread":0.20045970363892165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377822642","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75239795,0.00023815795,0.24498303,0.0008203089,0.000035193254,0.00011463378,0.00021146763,0.00023056725,0.00096866826],"genre_scores_gemma":[0.97944754,0.000072712115,0.019378906,0.00007095671,0.000036127058,0.00006625698,0.00027308744,0.000027163433,0.0006272021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98997515,0.0073821144,0.0004200604,0.0009964105,0.0007059588,0.0005203056],"domain_scores_gemma":[0.82990456,0.15800536,0.0059843822,0.0031722705,0.0018392585,0.0010941274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015592004,0.00088763115,0.0021738396,0.0015263763,0.0004986309,0.001992246,0.0018429004,0.001900447,0.002817078],"category_scores_gemma":[0.095044754,0.000552977,0.0009448769,0.0014167015,0.0014977398,0.0021725448,0.0015478146,0.0020695382,0.00017624382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012795797,0.0007222441,0.23672228,0.00026770312,0.0015008243,0.0014452792,0.00034211125,0.58236206,0.0031705347,0.09026673,0.001864231,0.08005648],"study_design_scores_gemma":[0.00009696822,0.00024316556,0.015430578,0.000012705654,0.00009013874,0.00008178442,0.000067846675,0.96223634,0.00092286745,0.020607276,0.00018273883,0.00002764377],"about_ca_topic_score_codex":0.0042777555,"about_ca_topic_score_gemma":0.0021732769,"teacher_disagreement_score":0.015592004,"about_ca_system_score_codex":0.00093680294,"about_ca_system_score_gemma":0.0015242209,"threshold_uncertainty_score":0.08245939},"labels":[],"label_agreement":null},{"id":"W4378421957","doi":"10.2139/ssrn.4459662","title":"Capital Raise in Private Funds and Investor Trust","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Business; Venture capital; Institutional investor; Private equity; Financial system; Fund of funds; Investor protection; Closed-end fund; Finance; Monetary economics; Economics; Corporate governance; Market liquidity","score_opus":0.01880452984304714,"score_gpt":0.20840533736497902,"score_spread":0.18960080752193187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378421957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96716535,0.0024032015,0.0021108205,0.0065337187,0.000053862273,0.000015781687,0.00024222877,0.000032096174,0.021442872],"genre_scores_gemma":[0.9977539,0.00020746917,0.000037959915,0.000046097506,0.000033544777,0.0000013415056,0.000020809426,0.0000024760316,0.0018963964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991291,0.00022221124,0.00007337832,0.00011456272,0.00011439894,0.00034643838],"domain_scores_gemma":[0.96933955,0.013925885,0.011981902,0.0007938798,0.001355846,0.0026029546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018802511,0.00017325794,0.00049537985,0.00076999963,0.0005388485,0.004580256,0.00037918045,0.001954569,0.007198977],"category_scores_gemma":[0.026025098,0.00017711933,0.0003437226,0.000768925,0.0013456246,0.0043023243,0.0012843466,0.001959575,0.00044435303],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018155803,0.0007409481,0.6092802,0.00024827,0.0003821518,0.0029478208,0.004014172,0.013894656,0.0010101006,0.3028712,0.00936769,0.05342716],"study_design_scores_gemma":[0.0003202181,0.00082483835,0.5154675,0.0003754652,0.00070104166,0.002191288,0.011435972,0.04321147,0.0030576077,0.40098235,0.021279272,0.00015293418],"about_ca_topic_score_codex":0.007107107,"about_ca_topic_score_gemma":0.0070373965,"teacher_disagreement_score":0.007198977,"about_ca_system_score_codex":0.0026550842,"about_ca_system_score_gemma":0.0009829464,"threshold_uncertainty_score":0.024083018},"labels":[],"label_agreement":null},{"id":"W4378625661","doi":"10.1016/j.finmar.2023.100849","title":"Retail trading and analyst coverage","year":2023,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Business; Stock (firearms); Shock (circulatory); Information asymmetry; Empirical evidence; Monetary economics; Financial economics; Economics; Finance","score_opus":0.03230619829441469,"score_gpt":0.2174897409881705,"score_spread":0.1851835426937558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378625661","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08760159,0.05611734,0.0015878028,0.020658882,0.0028660556,0.00012474276,0.13791083,0.0012003678,0.6919324],"genre_scores_gemma":[0.5264002,0.03339404,0.00086478505,0.0043311873,0.010149096,0.00012680455,0.08823851,0.00058712164,0.33590826],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.998252,0.00026573276,0.00013592896,0.00021044578,0.00090090535,0.00023494082],"domain_scores_gemma":[0.9822427,0.008890523,0.0025665,0.0012227139,0.0035386707,0.0015388437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010617893,0.00023267441,0.00040471408,0.010189299,0.00047373105,0.0027225243,0.0006912895,0.0014340545,0.09658157],"category_scores_gemma":[0.020162174,0.0002275533,0.0003217772,0.010317202,0.0002712684,0.0018864162,0.00071618694,0.0009302536,0.022232948],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003667075,0.00012726568,0.030886436,0.0005999575,0.0000647841,0.00032795593,0.0003594263,0.00058058754,0.0007217563,0.013963453,0.75523776,0.19676396],"study_design_scores_gemma":[0.000045632263,0.00006552323,0.111422986,0.0005011851,0.00005864582,0.0008970675,0.00025557022,0.0014679154,0.0006981277,0.004595976,0.87996435,0.000027057838],"about_ca_topic_score_codex":0.006175655,"about_ca_topic_score_gemma":0.006172823,"teacher_disagreement_score":0.09658157,"about_ca_system_score_codex":0.00068779284,"about_ca_system_score_gemma":0.0011300709,"threshold_uncertainty_score":0.3230976},"labels":[],"label_agreement":null},{"id":"W4378780295","doi":"10.22059/frj.2021.317357.1007130","title":"Mutual Fund Transaction Costs and Their Effect on Funds Performance","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Business; Transaction cost; Closed-end fund; Database transaction; Fund of funds; Open-end fund; Mutual fund; Finance; Computer science; Institutional investor; Database; Market liquidity; Corporate governance","score_opus":0.20455618930555727,"score_gpt":0.4319043552698123,"score_spread":0.22734816596425503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378780295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99844605,0.00029234582,0.0002108238,0.00009954832,0.000005640511,0.000009669497,0.000109610985,0.000005432161,0.0008209981],"genre_scores_gemma":[0.9995956,0.000059415728,0.00010581155,0.0000049991586,0.000012933055,0.0000055557675,0.0000762788,0.0000010765983,0.0001383667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99658304,0.0009730687,0.0004249261,0.0002724689,0.001383826,0.00036268245],"domain_scores_gemma":[0.95262986,0.01660182,0.025554147,0.0010784393,0.0027952879,0.0013404643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028143132,0.00040463457,0.00033557112,0.0020023677,0.0003028247,0.0018932384,0.00039577283,0.00051846803,0.001368785],"category_scores_gemma":[0.031488746,0.00012373533,0.00048719512,0.0016373543,0.00055246917,0.0010904642,0.00099502,0.0005975748,0.00015682376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030048066,0.00009488909,0.9811189,0.000027998383,0.00015418083,0.00018686258,0.00018231662,0.0033150248,0.0002236926,0.0003697442,0.00018976127,0.013836124],"study_design_scores_gemma":[0.000012308301,0.00024084779,0.9927927,0.000022988092,0.00008180738,0.00016932511,0.00036801366,0.005131157,0.0003777331,0.00036645448,0.00042171817,0.000014846772],"about_ca_topic_score_codex":0.004470582,"about_ca_topic_score_gemma":0.003521572,"teacher_disagreement_score":0.004470582,"about_ca_system_score_codex":0.0012481813,"about_ca_system_score_gemma":0.0008665242,"threshold_uncertainty_score":0.014883637},"labels":[],"label_agreement":null},{"id":"W4378806777","doi":"10.1287/mnsc.2023.4814","title":"Does Social Interaction Spread Fear Among Institutional Investors? Evidence from Coronavirus Disease 2019","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University; York University; University of Manitoba","funders":"","keywords":"Social connectedness; Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Business; Stock (firearms); Shock (circulatory); Demographic economics; Monetary economics; Economics; Psychology; Infectious disease (medical specialty); Social psychology; Disease; Geography; Medicine","score_opus":0.0768708731085525,"score_gpt":0.28442177446374944,"score_spread":0.20755090135519694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378806777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966029,0.0004992756,0.00006667178,0.0011448101,0.000013965467,0.00000547003,0.000113673166,0.000001471496,0.0015517615],"genre_scores_gemma":[0.9991241,0.00031066555,0.00004139127,0.00017951758,0.000032402793,0.0000074304226,0.00007687371,0.0000013294472,0.00022629912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989613,0.0005351106,0.00004731781,0.000126753,0.00012832542,0.00020119538],"domain_scores_gemma":[0.983454,0.007883151,0.0056828232,0.0009150211,0.0005164028,0.0015485281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023579865,0.00022658316,0.00025656036,0.0007834571,0.00066757144,0.0011252477,0.000594894,0.0010075672,0.0056073642],"category_scores_gemma":[0.017918779,0.00020860267,0.00047409942,0.00057547004,0.000922912,0.0011293456,0.0013318977,0.0011687173,0.00039091657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077335385,0.00053865294,0.9765055,0.00005723485,0.00026015143,0.0002400594,0.0022647802,0.0001307813,0.00024524136,0.0008146485,0.0010450766,0.017124504],"study_design_scores_gemma":[0.00003333076,0.00028455653,0.9948671,0.000058387788,0.00010991743,0.00013404133,0.0024322544,0.0004025562,0.00010536085,0.00070139155,0.000858588,0.000012499072],"about_ca_topic_score_codex":0.009251574,"about_ca_topic_score_gemma":0.007306612,"teacher_disagreement_score":0.009251574,"about_ca_system_score_codex":0.00048197352,"about_ca_system_score_gemma":0.00037009327,"threshold_uncertainty_score":0.018758535},"labels":[],"label_agreement":null},{"id":"W4379032926","doi":"10.2139/ssrn.4466220","title":"Time-Varying Relative Risk Aversion in Global Asset Markets","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Allison University","funders":"","keywords":"Risk aversion (psychology); Asset (computer security); Economics; Capital asset pricing model; Business; Financial economics; Monetary economics; Expected utility hypothesis; Computer science; Computer security","score_opus":0.019418968270950396,"score_gpt":0.23038751607263555,"score_spread":0.21096854780168517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379032926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94790465,0.00083749136,0.044146936,0.0008774608,0.000038720114,0.0000103546645,0.00012273184,0.00009419748,0.0059674303],"genre_scores_gemma":[0.99575776,0.0004254929,0.0010794688,0.000046315152,0.00003118644,0.000004814643,0.00004933628,0.000021379821,0.002584304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979085,0.00007554384,0.000007693032,0.00005231262,0.00002098749,0.00005263715],"domain_scores_gemma":[0.9970277,0.0018277984,0.00062295055,0.0001463153,0.00012497442,0.0002504016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018920125,0.0004177751,0.0005946284,0.00069065666,0.00021653145,0.0018004228,0.00039807605,0.000846187,0.0032857475],"category_scores_gemma":[0.0069493973,0.00028906934,0.00056066696,0.0006975709,0.0008645221,0.0024071136,0.0008308689,0.0014859813,0.00022288469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040722196,0.00023349513,0.052754782,0.00021131815,0.00031229877,0.0013110456,0.0011854559,0.2947336,0.009222792,0.59866923,0.003420062,0.037538704],"study_design_scores_gemma":[0.00005206344,0.00022499503,0.05961989,0.00005135271,0.00016691917,0.0004954217,0.0007021008,0.41952682,0.0009393135,0.516376,0.0017524228,0.00009270254],"about_ca_topic_score_codex":0.0019709526,"about_ca_topic_score_gemma":0.0015170317,"teacher_disagreement_score":0.0032857475,"about_ca_system_score_codex":0.00047645546,"about_ca_system_score_gemma":0.0002615499,"threshold_uncertainty_score":0.010991871},"labels":[],"label_agreement":null},{"id":"W4379386368","doi":"10.1080/09638180.2023.2218410","title":"Media Co-Coverage and Overreaction in Cross-Industry Information Transfers","year":2023,"lang":"en","type":"article","venue":"European Accounting Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"City University of Hong Kong; University of Southern California","keywords":"Earnings surprise; Earnings; Business; Surprise; Media coverage; Stock (firearms); Salient; Monetary economics; Stock exchange; Accounting; Economics; Post-earnings-announcement drift; Finance; Earnings response coefficient","score_opus":0.03351567719916523,"score_gpt":0.25600301628937544,"score_spread":0.2224873390902102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379386368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98838836,0.0007713278,0.0010930782,0.0002705211,0.000022751557,0.000028795326,0.00007410193,0.000019525092,0.009331634],"genre_scores_gemma":[0.9990435,0.0001402584,0.00014606504,0.00004499564,0.000037268448,0.0000067023834,0.000036823196,0.000002948336,0.0005413209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982395,0.0005488374,0.00013316987,0.0003186005,0.0005091615,0.00025062464],"domain_scores_gemma":[0.9540714,0.024241116,0.016413685,0.002501553,0.0018388933,0.00093341956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022446753,0.00031281228,0.00033860753,0.0016430434,0.00037275619,0.0018219313,0.00037919564,0.000830682,0.004659591],"category_scores_gemma":[0.025919493,0.00022011323,0.00026109372,0.0011052007,0.0006871393,0.0016935356,0.0013581424,0.0007436426,0.00047643296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016295338,0.00086090877,0.86326903,0.00041577232,0.00047189795,0.0014299264,0.0035576695,0.0025341252,0.017334694,0.0053866776,0.001154782,0.101954974],"study_design_scores_gemma":[0.000033676853,0.00028954522,0.9855962,0.000060996317,0.0002582753,0.0005031319,0.0019843488,0.0025728468,0.004390856,0.0024225388,0.0018662657,0.000021419626],"about_ca_topic_score_codex":0.0016591841,"about_ca_topic_score_gemma":0.0014706096,"teacher_disagreement_score":0.004659591,"about_ca_system_score_codex":0.0005190035,"about_ca_system_score_gemma":0.00028310306,"threshold_uncertainty_score":0.015587866},"labels":[],"label_agreement":null},{"id":"W4379388977","doi":"10.1057/s10713-023-00085-2","title":"An alternative representation of the C-CAPM with higher-order risks","year":2023,"lang":"en","type":"article","venue":"The Geneva Risk and Insurance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Capital asset pricing model; Economics; Downside risk; Econometrics; Risk premium; Financial economics; Order (exchange); Actuarial science; Portfolio; Finance","score_opus":0.07397271958996615,"score_gpt":0.29127218784766074,"score_spread":0.21729946825769458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379388977","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014779516,0.008546446,0.7991854,0.011195823,0.0027024604,0.000081303966,0.00095288083,0.0003820955,0.16217408],"genre_scores_gemma":[0.6353817,0.008287044,0.25028306,0.0036277,0.0061092693,0.00042240394,0.0012832033,0.0005235988,0.09408204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986199,0.00056117395,0.000093231465,0.00017468851,0.00038623658,0.00016486342],"domain_scores_gemma":[0.9978988,0.00072481716,0.0002206084,0.0003651951,0.00061002385,0.00018053247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023471788,0.0009959589,0.00095775,0.002184919,0.0007457205,0.003984896,0.0026061076,0.0031246303,0.014009692],"category_scores_gemma":[0.006210523,0.00025374818,0.0013632916,0.0032294686,0.0016864955,0.004653235,0.0013675608,0.0029283774,0.002505145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007102969,0.0000065092054,0.000052055446,0.000032308864,0.00000693159,0.000035224995,0.000024959547,0.0035544143,0.00008113242,0.98576295,0.0046688667,0.0057676095],"study_design_scores_gemma":[0.000013511582,0.00002098154,0.000160079,0.000059092476,0.000011835763,0.00015047025,0.000028634258,0.0974205,0.000116750416,0.8802295,0.0217686,0.000020067215],"about_ca_topic_score_codex":0.0043194965,"about_ca_topic_score_gemma":0.0024424864,"teacher_disagreement_score":0.014009692,"about_ca_system_score_codex":0.0014971065,"about_ca_system_score_gemma":0.0017647856,"threshold_uncertainty_score":0.046867073},"labels":[],"label_agreement":null},{"id":"W4379518158","doi":"10.21428/594757db.a1c96ea4","title":"Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques","year":2023,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Initial public offering; Equity (law); Business; Quality (philosophy); Predictive power; Monetary economics; Economics; Accounting","score_opus":0.08774094406167662,"score_gpt":0.26048548477159256,"score_spread":0.17274454070991593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379518158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699497,0.00009595859,0.028400293,0.0003819476,0.0000056086633,0.00003180122,0.00015723128,0.00006946601,0.0009079404],"genre_scores_gemma":[0.9960997,0.00004557654,0.0035589566,0.000018047811,0.000010061831,0.00000971198,0.00011593247,0.0000032001617,0.00013870947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945134,0.00023780024,0.000031104257,0.00007484115,0.00011462819,0.00009033612],"domain_scores_gemma":[0.9859195,0.009528412,0.0034002801,0.00044887356,0.00056156085,0.00014138718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022402434,0.0007122081,0.00045982853,0.002141938,0.00032936552,0.0011173881,0.0004785702,0.00067145826,0.0010545759],"category_scores_gemma":[0.013622085,0.00022650197,0.0005638954,0.0011437034,0.0005593373,0.0010574266,0.00044363123,0.0008585291,0.00014476158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017122577,0.0005514484,0.55336314,0.00010937201,0.00021113658,0.00080774684,0.00043597847,0.3748592,0.0035840352,0.010355805,0.00079677394,0.05475409],"study_design_scores_gemma":[0.0000064923875,0.000060402373,0.056542136,0.000009024281,0.0000182647,0.000046839166,0.00010218728,0.9361678,0.00068277674,0.0062351893,0.000116165436,0.000012725595],"about_ca_topic_score_codex":0.0034036166,"about_ca_topic_score_gemma":0.0030624834,"teacher_disagreement_score":0.0034036166,"about_ca_system_score_codex":0.0006382494,"about_ca_system_score_gemma":0.0006110534,"threshold_uncertainty_score":0.011847675},"labels":[],"label_agreement":null},{"id":"W4379911932","doi":"10.54254/2754-1169/5/20220119","title":"Chinese Mutual Funds Performance using 4-factor Fama-French Model, Sortino and Sharpe Ratios","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Sharpe ratio; Capital asset pricing model; Volatility (finance); Econometrics; Economics; Financial economics; Portfolio","score_opus":0.03993470180885526,"score_gpt":0.274225362719462,"score_spread":0.23429066091060677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379911932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959269,0.0003688957,0.0013954984,0.00018852852,0.000008372266,0.000024598497,0.0004882876,0.000025881678,0.001572966],"genre_scores_gemma":[0.9987029,0.000106044026,0.00027156615,0.000010631596,0.00000956087,0.000011490421,0.0003634917,0.0000027080166,0.00052166416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894875,0.00032581043,0.000078136734,0.00018552969,0.0002603932,0.00020136024],"domain_scores_gemma":[0.997106,0.0012283885,0.00076909375,0.00019108962,0.0005565145,0.00014897496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043255156,0.00080784416,0.0007220209,0.0023889714,0.0004217598,0.0017560256,0.00059492857,0.000873972,0.001488512],"category_scores_gemma":[0.009806723,0.00019288699,0.0010650012,0.00185521,0.00050534867,0.001292383,0.0006247611,0.0003871058,0.00026952103],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066171394,0.000110381356,0.7976446,0.00013593255,0.0005735153,0.00102342,0.00065136777,0.16206394,0.001147028,0.007407206,0.0022237562,0.026357058],"study_design_scores_gemma":[0.000074747644,0.0005152111,0.5259175,0.000039345763,0.0004263113,0.00033713083,0.00066721236,0.4631578,0.0018330822,0.00380919,0.0031267153,0.00009579983],"about_ca_topic_score_codex":0.06845444,"about_ca_topic_score_gemma":0.024141742,"teacher_disagreement_score":0.06845444,"about_ca_system_score_codex":0.002064296,"about_ca_system_score_gemma":0.0016197244,"threshold_uncertainty_score":0.13611197},"labels":[],"label_agreement":null},{"id":"W4380151071","doi":"10.1016/j.eap.2023.06.008","title":"Socially conscious investment funds and home country institutions","year":2023,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Economic freedom; Property rights; Business; Currency; Private property; Investment (military); Robustness (evolution); Economics; Law; Political science; Monetary economics; Market economy","score_opus":0.03362130536842944,"score_gpt":0.2600288633357323,"score_spread":0.22640755796730283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380151071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75735277,0.0029479293,0.016412167,0.017635068,0.00012979921,0.000028473813,0.00023739981,0.00007594559,0.20518048],"genre_scores_gemma":[0.9957254,0.00035871292,0.0004934392,0.00019837194,0.00003229756,0.0000054902052,0.000017043787,0.000004702035,0.0031644865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99949217,0.00022285894,0.000018658147,0.00005494525,0.0000610556,0.00015024026],"domain_scores_gemma":[0.99778444,0.0008440036,0.0007256176,0.00020927873,0.00020209227,0.00023465637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013096425,0.00015597165,0.00036609816,0.00062937726,0.0007116365,0.003974735,0.00025912293,0.0012865418,0.003394597],"category_scores_gemma":[0.005023456,0.000119748074,0.0001843933,0.0006602187,0.0032983804,0.0028608635,0.0012142874,0.0012610363,0.000116392075],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038955153,0.00002663883,0.003689783,0.000019408995,0.000023057615,0.000059497994,0.00032993956,0.0015106534,0.00009135732,0.98471016,0.0012215871,0.008278866],"study_design_scores_gemma":[0.000027336062,0.000034517718,0.007916518,0.000056105528,0.000024725321,0.00008895654,0.0011501062,0.0023946646,0.0003803942,0.97676474,0.011148653,0.000013352921],"about_ca_topic_score_codex":0.0024193493,"about_ca_topic_score_gemma":0.0040569436,"teacher_disagreement_score":0.003974735,"about_ca_system_score_codex":0.001861388,"about_ca_system_score_gemma":0.0011910705,"threshold_uncertainty_score":0.013505399},"labels":[],"label_agreement":null},{"id":"W4380669112","doi":"10.1142/s2010139223500106","title":"Post-FOMC Drift","year":2023,"lang":"en","type":"article","venue":"Quarterly Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Monetary policy; Monetary economics; Stock (firearms); Economics; Stock market; Financial market; Financial economics; Finance","score_opus":0.021158360328668288,"score_gpt":0.21720852611538188,"score_spread":0.19605016578671358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380669112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910904,0.0003326228,0.0020148072,0.0005535205,0.000077218574,0.000021571983,0.00084726774,0.000107481734,0.004954922],"genre_scores_gemma":[0.9970509,0.00011804495,0.00032919418,0.00006847095,0.000094036666,0.000008224147,0.0006394465,0.000013985556,0.0016776642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999613,0.000025062445,0.0000208481,0.00008716259,0.00014719683,0.00010677763],"domain_scores_gemma":[0.9957653,0.0009112318,0.0019590247,0.0003307169,0.0005963803,0.00043739437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086976023,0.0002222241,0.00039416077,0.0010513269,0.00031520723,0.0011343614,0.00031154265,0.00065001595,0.0037952524],"category_scores_gemma":[0.011432278,0.00012459727,0.0001970574,0.0009458835,0.0002506521,0.00089891563,0.00052293186,0.0008333613,0.0007867466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010785145,0.00042705872,0.7882861,0.00012682719,0.00021356101,0.002348129,0.0011127904,0.014062484,0.012359086,0.021460203,0.0124541735,0.14607105],"study_design_scores_gemma":[0.000024706409,0.00023375449,0.95253944,0.000029812165,0.000044257704,0.0007107321,0.00045663712,0.028801374,0.0029809321,0.005575835,0.008552512,0.000050094386],"about_ca_topic_score_codex":0.0039683795,"about_ca_topic_score_gemma":0.003185029,"teacher_disagreement_score":0.0039683795,"about_ca_system_score_codex":0.000545049,"about_ca_system_score_gemma":0.00036859652,"threshold_uncertainty_score":0.012696445},"labels":[],"label_agreement":null},{"id":"W4380670439","doi":"10.1080/15427560.2023.2203496","title":"Trading Simulations and Real Money Outcomes*","year":2023,"lang":"en","type":"article","venue":"Journal of Behavioral Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Portfolio; Stock trading; Stock (firearms); Computer science; Economics; Finance; Stock market; Engineering","score_opus":0.08355269662324333,"score_gpt":0.29735262126586104,"score_spread":0.2137999246426177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380670439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976509,0.00006607981,0.00049901876,0.00010903096,0.0000061872356,0.000007301917,0.0000632388,0.000014114048,0.001584125],"genre_scores_gemma":[0.9994948,0.000026116975,0.00015038614,0.000011563327,0.0000050258245,0.0000032988526,0.00006695625,0.0000033635863,0.00023856881],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976961,0.0011486788,0.00032061434,0.00017508038,0.00041522284,0.00024421918],"domain_scores_gemma":[0.9025238,0.058960803,0.027099814,0.003570827,0.0024353582,0.005409395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026540982,0.000300163,0.00019849226,0.0008680517,0.00021480968,0.0018963659,0.0003609825,0.00073332054,0.00722317],"category_scores_gemma":[0.057427112,0.00015290198,0.00037016737,0.00049063354,0.0005611537,0.0012934468,0.0010530911,0.0010111786,0.0008568076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038357815,0.00054068014,0.98420507,0.00002807534,0.0001203037,0.000102655285,0.00030783887,0.002304035,0.00039496957,0.0003705166,0.0001650583,0.011077201],"study_design_scores_gemma":[0.00003834641,0.0013967153,0.97114885,0.00006434075,0.00009306762,0.000716246,0.0013233304,0.020511247,0.0014519297,0.0020996656,0.0011073665,0.000048851332],"about_ca_topic_score_codex":0.00061393226,"about_ca_topic_score_gemma":0.00073410507,"teacher_disagreement_score":0.00722317,"about_ca_system_score_codex":0.00025011378,"about_ca_system_score_gemma":0.00027398014,"threshold_uncertainty_score":0.024163902},"labels":[],"label_agreement":null},{"id":"W4380763485","doi":"10.2139/ssrn.4469996","title":"Online Appendix for \"Crash Prediction Using Fundamental Variables: Evidence From Mainland China\"","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Equity (law); Crash; Earnings yield; Mainland China; Econometrics; Earnings; Economics; China; Financial economics; Stock (firearms); Portfolio; Price–earnings ratio; Earnings per share; Geography; Finance; Computer science","score_opus":0.04254255366671388,"score_gpt":0.25271424770924383,"score_spread":0.21017169404252994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380763485","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004322695,0.00008469179,0.0008461558,0.00034160656,0.00019455729,0.0003397274,0.983433,0.0005006019,0.009936872],"genre_scores_gemma":[0.021670863,0.00033883963,0.003590687,0.0004077434,0.00020655016,0.0013779462,0.92605007,0.00016821614,0.046189062],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995883,0.00005969428,0.00011278301,0.00005985338,0.000117672025,0.00006163548],"domain_scores_gemma":[0.990359,0.0037057085,0.000952511,0.0007304757,0.0037860186,0.0004662875],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000927616,0.00070368435,0.0004993727,0.003328092,0.00053203607,0.0005636915,0.0013375545,0.00077663595,0.5680224],"category_scores_gemma":[0.009608281,0.00042426054,0.0004787518,0.0061032088,0.0001443804,0.0007478576,0.00093992596,0.00043283566,0.15948693],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053348907,0.000106066924,0.006466044,0.00042765687,0.000017623568,0.00007087568,0.00006697007,0.000424762,0.00009886327,0.0007488616,0.97276545,0.018753367],"study_design_scores_gemma":[0.0010511489,0.0003201382,0.2839996,0.00060388393,0.00011003062,0.00030946644,0.001167172,0.0036916782,0.0008845303,0.0061757886,0.7015751,0.00011145595],"about_ca_topic_score_codex":0.043201495,"about_ca_topic_score_gemma":0.05494359,"teacher_disagreement_score":0.5680224,"about_ca_system_score_codex":0.0005655543,"about_ca_system_score_gemma":0.0022736262,"threshold_uncertainty_score":0.6161636},"labels":[],"label_agreement":null},{"id":"W4380786196","doi":"10.1016/j.jebo.2023.05.031","title":"What to target? Insights from a lab experiment","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Inflation targeting; Monetary policy; Inflation (cosmology); Volatility (finance); Heuristics; Replicate; Output gap; Central bank; Monetary economics; Macroeconomics; Econometrics; Keynesian economics; Computer science","score_opus":0.030870755981885507,"score_gpt":0.23977189138830554,"score_spread":0.20890113540642002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380786196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8994633,0.0013913678,0.048169274,0.006826753,0.00069950754,0.002090821,0.0009422252,0.00043241933,0.039984394],"genre_scores_gemma":[0.94368154,0.0007054076,0.04355609,0.003841355,0.0002311044,0.002630233,0.0003536125,0.00011463279,0.004885985],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962269,0.002591907,0.00016157946,0.00055238674,0.00028350778,0.00018373826],"domain_scores_gemma":[0.97140324,0.023389809,0.0018033047,0.0017036855,0.0006136219,0.001086287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008155605,0.00074396975,0.00071066635,0.00024011276,0.00055876345,0.002018475,0.0012678142,0.0020294315,0.009409193],"category_scores_gemma":[0.030333593,0.00043335257,0.00035685563,0.00019087922,0.0015432428,0.0018336698,0.0009031223,0.0023947682,0.0014527687],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.045786936,0.0778425,0.03518802,0.006073324,0.0010478012,0.0022828816,0.0314248,0.016389422,0.2887276,0.13610747,0.032388974,0.3267403],"study_design_scores_gemma":[0.023708794,0.11922964,0.071712114,0.001175471,0.0015722505,0.0027026872,0.008418007,0.08187977,0.10870973,0.4585757,0.12137778,0.0009379844],"about_ca_topic_score_codex":0.00030956487,"about_ca_topic_score_gemma":0.00030787307,"teacher_disagreement_score":0.009409193,"about_ca_system_score_codex":0.00033839326,"about_ca_system_score_gemma":0.00066901435,"threshold_uncertainty_score":0.04313147},"labels":[],"label_agreement":null},{"id":"W4380924812","doi":"10.1108/sampj-09-2022-0464","title":"Can sustainability performance mitigate the negative effect of policy uncertainty on the firm valuation?","year":2023,"lang":"en","type":"article","venue":"Sustainability Accounting Management and Policy Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Valuation (finance); Portfolio; Business; Corporate governance; Sustainability; Enterprise value; Cost of capital; Market value; Reputation; Finance; Economics; Stakeholder; Public economics; Microeconomics; Incentive","score_opus":0.01711372366533114,"score_gpt":0.26144261538508856,"score_spread":0.2443288917197574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380924812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828199,0.00091538526,0.0040147947,0.0024979305,0.0000454728,0.000047921698,0.00033241752,0.000031446943,0.009294592],"genre_scores_gemma":[0.9993832,0.000093103445,0.00020792056,0.000053152562,0.000015298609,0.0000047297067,0.000047439167,0.0000014735818,0.00019373214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979128,0.00068344985,0.0001431957,0.0002653837,0.00052855315,0.00046655664],"domain_scores_gemma":[0.9784864,0.0064546075,0.011792952,0.0010279164,0.0015714371,0.0006665672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004500881,0.0002999805,0.00053591514,0.0008869281,0.00048076786,0.0032022747,0.0005188049,0.0010843782,0.0022534581],"category_scores_gemma":[0.021255692,0.00013497345,0.0004209342,0.0009547503,0.000930469,0.0023820004,0.0012248759,0.00079008465,0.0002552823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000558453,0.0005274683,0.8381579,0.00040908073,0.0006028937,0.0005458948,0.0006893235,0.028876595,0.00342014,0.020435594,0.0019401772,0.10383645],"study_design_scores_gemma":[0.00003920676,0.00087187684,0.93141425,0.000218183,0.00032100597,0.00014564091,0.0030129333,0.02685005,0.0068454635,0.021933567,0.008252206,0.0000956636],"about_ca_topic_score_codex":0.0051176273,"about_ca_topic_score_gemma":0.0057521225,"teacher_disagreement_score":0.0051176273,"about_ca_system_score_codex":0.00185652,"about_ca_system_score_gemma":0.0017013791,"threshold_uncertainty_score":0.023803234},"labels":[],"label_agreement":null},{"id":"W4381059945","doi":"10.1016/j.jeconom.2023.04.008","title":"Identification-robust beta pricing, spanning, mimicking portfolios, and the benchmark neutrality of catastrophe bonds","year":2023,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Carleton University; McGill University; Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Econometrics; Capital asset pricing model; Bond; Economics; BETA (programming language); Computer science; Finance","score_opus":0.10067306849026081,"score_gpt":0.23687481395762724,"score_spread":0.13620174546736644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381059945","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8167557,0.00056403666,0.17682296,0.0012511032,0.000056732446,0.000053491138,0.00016062707,0.00024392281,0.0040914556],"genre_scores_gemma":[0.9944127,0.0002406039,0.0038887644,0.000045852797,0.000039992185,0.00001250903,0.00010366745,0.00002290106,0.0012330667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987764,0.00059984095,0.00008494728,0.00023275233,0.00013671428,0.00016949006],"domain_scores_gemma":[0.97518367,0.015583046,0.0054075737,0.0018435139,0.0010039072,0.0009782331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008594155,0.00078740664,0.0017947203,0.0010987269,0.0005255683,0.0027184878,0.001575737,0.0022620955,0.0027596056],"category_scores_gemma":[0.07823087,0.00080610975,0.00095260964,0.0007181519,0.0017133655,0.004515156,0.0016345761,0.0024011014,0.00021790604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051796704,0.00027939296,0.0287716,0.00021204875,0.00042144212,0.0010652357,0.00045856112,0.4976975,0.004921952,0.41914916,0.0031489076,0.04335622],"study_design_scores_gemma":[0.00006810894,0.000101276855,0.00542717,0.000022914657,0.00008899623,0.00024250358,0.000078310346,0.81529504,0.0009133007,0.17736228,0.00034884963,0.0000512275],"about_ca_topic_score_codex":0.0016901233,"about_ca_topic_score_gemma":0.001010416,"teacher_disagreement_score":0.008594155,"about_ca_system_score_codex":0.00058742345,"about_ca_system_score_gemma":0.0008700631,"threshold_uncertainty_score":0.045450807},"labels":[],"label_agreement":null},{"id":"W4381108756","doi":"10.2139/ssrn.4473545","title":"From Bits to Bonds: The Economic Ripple of Local Cyberattacks on Municipalities","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Finance; Business; Municipal bond; Economic shortage; Bond; Capital (architecture); Cash; Public finance; Capital expenditure; Media coverage; Economics; Government (linguistics)","score_opus":0.022780947853190982,"score_gpt":0.23557875222909594,"score_spread":0.21279780437590495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381108756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7024518,0.0022251494,0.0012429721,0.060080055,0.00020578777,0.000019618015,0.0007695728,0.000049462928,0.23295562],"genre_scores_gemma":[0.99430865,0.00043195137,0.000044019074,0.0005781019,0.000042501535,0.000003635392,0.00004269943,0.000017787264,0.0045305863],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999017,0.000329462,0.000026957498,0.00007003681,0.00020121121,0.00035528472],"domain_scores_gemma":[0.9949515,0.001907301,0.0012040116,0.00032621206,0.0007521364,0.00085898885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009807554,0.0001133102,0.0002880487,0.0009004356,0.0028637513,0.008608603,0.0005511419,0.0015795737,0.022462696],"category_scores_gemma":[0.013623206,0.0002201189,0.00015673632,0.0027816326,0.00431213,0.0065601896,0.0043308297,0.0021503812,0.000863935],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053161284,0.00013434267,0.08247912,0.00032025442,0.000114113696,0.0020260846,0.044442512,0.005792238,0.0004682525,0.70488316,0.098974824,0.059833463],"study_design_scores_gemma":[0.00007967236,0.00017267822,0.10548361,0.0009615084,0.00018504391,0.00040867808,0.25211838,0.0062153107,0.00087080407,0.29601285,0.33736244,0.00012898623],"about_ca_topic_score_codex":0.06371891,"about_ca_topic_score_gemma":0.09374494,"teacher_disagreement_score":0.06371891,"about_ca_system_score_codex":0.0048192684,"about_ca_system_score_gemma":0.0026417358,"threshold_uncertainty_score":0.12669605},"labels":[],"label_agreement":null},{"id":"W4382281010","doi":"10.1007/978-981-99-1916-1_11","title":"Cognitive Assessment and Trading Performance Correlations","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Cognition; Neuroeconomics; Cognitive psychology; Task (project management); Computer science; Test (biology); Psychology; Economics; Neuroscience; Management","score_opus":0.04506387809326176,"score_gpt":0.23633806420264114,"score_spread":0.19127418610937938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382281010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93726534,0.0010094242,0.0132120885,0.00042131526,0.000054983073,0.000037142716,0.00032521016,0.00005895392,0.04761564],"genre_scores_gemma":[0.9963276,0.00018010267,0.0013963727,0.000050298546,0.000032944874,0.00001744088,0.0001353503,0.000015095754,0.0018448413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892277,0.0004209477,0.00006140747,0.00017896437,0.00034135094,0.00007449304],"domain_scores_gemma":[0.97187275,0.02214917,0.0024662658,0.001400465,0.0014335744,0.00067772524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024164312,0.00035858413,0.00038119123,0.0010350784,0.00023796607,0.0022676608,0.000404441,0.0005891574,0.0058489125],"category_scores_gemma":[0.04608882,0.00027084537,0.000225841,0.0009723693,0.0006408252,0.0013928215,0.0009132652,0.00093670614,0.00059571816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024514378,0.0015874193,0.42099333,0.00029136764,0.0009028167,0.0011204844,0.0032419444,0.037292194,0.012938473,0.1084662,0.0064423857,0.4042719],"study_design_scores_gemma":[0.00008669822,0.0006382465,0.6259713,0.0000870266,0.00023862679,0.00093731016,0.0009053896,0.09401344,0.0032581144,0.2710959,0.00264877,0.00011928285],"about_ca_topic_score_codex":0.00079306186,"about_ca_topic_score_gemma":0.00080954446,"teacher_disagreement_score":0.0058489125,"about_ca_system_score_codex":0.00033624587,"about_ca_system_score_gemma":0.00027719114,"threshold_uncertainty_score":0.019566596},"labels":[],"label_agreement":null},{"id":"W4382405765","doi":"10.2139/ssrn.4491887","title":"Quantile Machine Learning and the Cross-Section of Stock Returns","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Guelph","funders":"","keywords":"Sharpe ratio; Quantile; Predictability; Econometrics; Computer science; Portfolio; Artificial intelligence; Outlier; Machine learning; Artificial neural network; Volatility (finance); Quantile regression; Capital asset pricing model; Economics; Financial economics; Statistics; Mathematics","score_opus":0.01867371869716577,"score_gpt":0.24141194712778308,"score_spread":0.2227382284306173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382405765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7962906,0.004603412,0.19328636,0.001971693,0.000111229965,0.000019540175,0.0005671435,0.0004889101,0.0026612426],"genre_scores_gemma":[0.9940195,0.0005214071,0.0036200094,0.0000722287,0.00010201745,0.000010377604,0.0004007522,0.000031612515,0.0012220485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992274,0.00042179713,0.000033710683,0.00012695967,0.0000865023,0.000103639155],"domain_scores_gemma":[0.98072803,0.016065326,0.0012201671,0.001002496,0.00065243396,0.00033146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007448828,0.0003597603,0.0007690921,0.0012650953,0.00026873586,0.0011698089,0.0007955525,0.0010358242,0.0032485935],"category_scores_gemma":[0.026958458,0.00035711104,0.00047437946,0.0012619783,0.00073713664,0.0015973831,0.00083985075,0.0011186427,0.0004278443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040084514,0.00020546683,0.2139973,0.00014145082,0.0005222146,0.00022949839,0.00025813706,0.59029627,0.0013203219,0.06978619,0.004620474,0.118221775],"study_design_scores_gemma":[0.000011259754,0.000039525323,0.03770472,0.000022734312,0.000022974562,0.00004348644,0.000031740685,0.9248902,0.00023061546,0.03657242,0.00041513357,0.000015173445],"about_ca_topic_score_codex":0.004443331,"about_ca_topic_score_gemma":0.0032201002,"teacher_disagreement_score":0.007448828,"about_ca_system_score_codex":0.0007895247,"about_ca_system_score_gemma":0.00042376455,"threshold_uncertainty_score":0.039393604},"labels":[],"label_agreement":null},{"id":"W4382934414","doi":"10.26845/kjfs.2023.6.52.3.449","title":"Relationship between Extreme Idiosyncratic Returns and Expected Returns in the Korean Stock Market","year":2023,"lang":"en","type":"article","venue":"Korean Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Korea Advanced Institute of Science and Technology; National Research Foundation of Korea; Ministry of Education; National Research Foundation","keywords":"Stock (firearms); Economics; Lottery; Econometrics; Anomaly (physics); Financial economics; Arbitrage; Stock market; Volatility (finance); Monetary economics; Geography; Microeconomics","score_opus":0.14191428343486534,"score_gpt":0.28026113006842845,"score_spread":0.13834684663356311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382934414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993326,0.00005932141,0.00027527427,0.000031585296,0.0000019330448,0.0000024645346,0.000036660345,0.0000038589014,0.00025633362],"genre_scores_gemma":[0.99981016,0.000020595658,0.000058362297,0.0000051105217,0.0000035394419,9.290422e-7,0.00004491711,8.75068e-7,0.000055391592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995621,0.00008734096,0.00008221066,0.00010122948,0.00009083443,0.000076256234],"domain_scores_gemma":[0.9900851,0.0028061448,0.005466293,0.00043760397,0.00056685554,0.00063790067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010526859,0.00022581925,0.00024242852,0.0007753326,0.0001425366,0.0008561539,0.00021206585,0.00037385675,0.0010388349],"category_scores_gemma":[0.007457897,0.00018472396,0.00024660383,0.0005408466,0.00027705586,0.0008146178,0.0004775729,0.00055609044,0.00014651075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009167351,0.000053102416,0.9948173,0.000008910736,0.00009486104,0.00018635485,0.00008647135,0.0010413735,0.0006714017,0.00029389595,0.000050770956,0.0026039365],"study_design_scores_gemma":[0.000004068201,0.000054554213,0.99491477,0.0000030240756,0.00001983904,0.00019002959,0.00009332996,0.0041059097,0.00016755953,0.00037450553,0.00006287163,0.000009531347],"about_ca_topic_score_codex":0.0010030331,"about_ca_topic_score_gemma":0.0009948276,"teacher_disagreement_score":0.0010526859,"about_ca_system_score_codex":0.00026689487,"about_ca_system_score_gemma":0.00014890832,"threshold_uncertainty_score":0.0055672526},"labels":[],"label_agreement":null},{"id":"W4383065974","doi":"10.1016/j.jeconbus.2023.106129","title":"Portfolio Choice with Endogenous Donations - Modeling University Endowments","year":2023,"lang":"en","type":"article","venue":"Journal of Economics and Business","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Economics; Endowment; Donation; Portfolio; Investment (military); Endowment effect; Microeconomics; Asset (computer security); Substitution (logic); Asset allocation; Financial economics","score_opus":0.06361212293805013,"score_gpt":0.19320910971687935,"score_spread":0.12959698677882922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383065974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9193333,0.0010932328,0.06556341,0.0029481263,0.00015579004,0.00009914684,0.00061617687,0.00010944465,0.010081307],"genre_scores_gemma":[0.984792,0.0003736859,0.003728083,0.00010341062,0.000059301434,0.000048471,0.0001394559,0.00002514863,0.010730549],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987203,0.00075875106,0.000043386866,0.00017832998,0.000054830765,0.00024445774],"domain_scores_gemma":[0.98671836,0.00904968,0.0016146566,0.0005794085,0.0005076904,0.0015302314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043001045,0.0009710153,0.0020993624,0.0012404415,0.0007733831,0.003590624,0.0020625826,0.0037897306,0.007894912],"category_scores_gemma":[0.018446881,0.0012357768,0.0017029705,0.0019128761,0.0018056597,0.0036560996,0.0020522713,0.0023622944,0.0005965309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023726495,0.0002819319,0.006259158,0.000038831997,0.000092557595,0.00016690073,0.000066555695,0.9605168,0.00015919752,0.027562521,0.0008522908,0.003766129],"study_design_scores_gemma":[0.00006004444,0.000052715743,0.0009026663,0.000009180336,0.00003323475,0.000020611755,0.000052631654,0.98960227,0.00006236968,0.008983162,0.00020479996,0.000016338628],"about_ca_topic_score_codex":0.021850402,"about_ca_topic_score_gemma":0.0121702105,"teacher_disagreement_score":0.021850402,"about_ca_system_score_codex":0.002579363,"about_ca_system_score_gemma":0.0014957152,"threshold_uncertainty_score":0.04344642},"labels":[],"label_agreement":null},{"id":"W4383197394","doi":"10.1016/j.irfa.2023.102777","title":"International high-frequency arbitrage for cross-listed stocks","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université de Montréal","funders":"","keywords":"Statistical arbitrage; Arbitrage; Index arbitrage; High-frequency trading; Pairs trade; Mean reversion; Economics; Financial economics; Risk arbitrage; Trading strategy; Fixed income arbitrage; Algorithmic trading; Order (exchange); Profit (economics); Limits to arbitrage; Econometrics; Stock (firearms); Business; Finance; Arbitrage pricing theory; Microeconomics; Alternative trading system; Capital asset pricing model; Geography","score_opus":0.03220397074324597,"score_gpt":0.2969030531760198,"score_spread":0.2646990824327738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383197394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4153319,0.40060908,0.098474964,0.016198052,0.0017808055,0.000058151407,0.00065920484,0.0002863115,0.06660144],"genre_scores_gemma":[0.94836736,0.03820143,0.0046294434,0.00026456,0.0018174428,0.000018980298,0.0004373457,0.000030478599,0.006232993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993318,0.00020392935,0.00006651266,0.0001246733,0.00018856209,0.000084567844],"domain_scores_gemma":[0.995494,0.0022191994,0.0011586258,0.00037147338,0.00057677325,0.0001800045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025859098,0.00035150378,0.000442111,0.0019861874,0.00028434466,0.0023039752,0.0005994513,0.0014080596,0.0030291367],"category_scores_gemma":[0.011334622,0.00018026728,0.0005555075,0.0016788427,0.00081599015,0.003752671,0.0008958115,0.0010888039,0.0004727082],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045180199,0.00015232751,0.05516914,0.0011053453,0.00076154177,0.0014875374,0.000444429,0.023887936,0.005596372,0.48225668,0.024701735,0.40398517],"study_design_scores_gemma":[0.00012048589,0.00030881265,0.12059445,0.00091586605,0.00049172895,0.0032388102,0.00044427524,0.13141274,0.0036596546,0.6749849,0.06370482,0.0001235488],"about_ca_topic_score_codex":0.0008220922,"about_ca_topic_score_gemma":0.00066370936,"teacher_disagreement_score":0.0030291367,"about_ca_system_score_codex":0.00062248704,"about_ca_system_score_gemma":0.000360527,"threshold_uncertainty_score":0.013675749},"labels":[],"label_agreement":null},{"id":"W4383270334","doi":"10.2139/ssrn.4496917","title":"Intraday Stock Predictability Everywhere","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Western University; University of Guelph","funders":"","keywords":"Predictability; Predictive power; Stock (firearms); Sharpe ratio; Econometrics; Transaction cost; Economics; Market timing; Financial economics; Stock market; Finance; Statistics; Mathematics; Geography","score_opus":0.020497181115828475,"score_gpt":0.21361569132895813,"score_spread":0.19311851021312965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383270334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9152288,0.0018729996,0.03686726,0.002258529,0.00037258657,0.000010934892,0.0006079168,0.00074103265,0.04203993],"genre_scores_gemma":[0.99553216,0.00025910418,0.00042067975,0.00007864535,0.00012768398,0.0000023755022,0.00015398175,0.000035026336,0.0033903087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997938,0.000015948699,0.0000101413625,0.00006880025,0.0000491336,0.000062178435],"domain_scores_gemma":[0.99883443,0.00032218848,0.00022227327,0.00029904494,0.00016299248,0.00015904041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036618646,0.0004283256,0.0009026281,0.00084161846,0.00047023906,0.0018002327,0.00043584988,0.0006848899,0.0058270353],"category_scores_gemma":[0.003532751,0.00045234128,0.00061361544,0.000547935,0.0007299202,0.0033499857,0.001191428,0.0016072799,0.00081307406],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082903187,0.00034302968,0.1727705,0.00036518698,0.00088749925,0.0056125256,0.000815093,0.104327254,0.0531993,0.47006217,0.029191859,0.16159652],"study_design_scores_gemma":[0.00003689907,0.0002231452,0.19558999,0.000078149154,0.00025546591,0.0025802322,0.0005507659,0.30533853,0.008412385,0.4784038,0.008405035,0.00012558066],"about_ca_topic_score_codex":0.00105609,"about_ca_topic_score_gemma":0.00068754604,"teacher_disagreement_score":0.0058270353,"about_ca_system_score_codex":0.00025243452,"about_ca_system_score_gemma":0.0002233729,"threshold_uncertainty_score":0.019493401},"labels":[],"label_agreement":null},{"id":"W4383503615","doi":"10.2139/ssrn.4493166","title":"Can AI Read the Minds of Corporate Executives?","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; McGill University; Montreal Police Service; University of Guelph","funders":"","keywords":"Business; Management; Psychology; Accounting; Economics","score_opus":0.03129997330657601,"score_gpt":0.22132707110887434,"score_spread":0.19002709780229832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383503615","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041801512,0.011596487,0.0025590367,0.7093653,0.00783395,0.00001390499,0.00015141048,0.00010510606,0.22657323],"genre_scores_gemma":[0.7410426,0.013684573,0.0017331642,0.15976204,0.008441767,0.000027754262,0.000120365214,0.0001314758,0.075056285],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980421,0.0009818437,0.000053409767,0.00016973751,0.0003705899,0.00038230626],"domain_scores_gemma":[0.9830378,0.008500451,0.00165482,0.00078054186,0.0030662736,0.0029600204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035848592,0.00030389306,0.00031508613,0.001101949,0.0019469098,0.00773391,0.00067620684,0.0031678097,0.017823169],"category_scores_gemma":[0.032227904,0.00018836286,0.00024926697,0.0010194367,0.004599023,0.009855405,0.0015014445,0.0062713586,0.003995651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047997193,0.0002687741,0.033040095,0.00047350416,0.00014927644,0.00097109406,0.035699148,0.0006345002,0.0013996504,0.23652585,0.45263538,0.23772275],"study_design_scores_gemma":[0.000065791945,0.00014699802,0.018323503,0.0008731183,0.00006325804,0.0005252955,0.05181328,0.001030144,0.0007900359,0.3069943,0.61928785,0.00008650242],"about_ca_topic_score_codex":0.0050580376,"about_ca_topic_score_gemma":0.0063553443,"teacher_disagreement_score":0.017823169,"about_ca_system_score_codex":0.0015595958,"about_ca_system_score_gemma":0.0016627634,"threshold_uncertainty_score":0.059624434},"labels":[],"label_agreement":null},{"id":"W4383533324","doi":"10.1145/3580507.3597678","title":"Principal Trading Arrangements: Optimality under Temporary and Permanent Price Impact","year":2023,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Payment; Interim; Position (finance); Incentive; Microeconomics; Business; Loss aversion; Principal (computer security); Point (geometry); Economics; Computer science; Finance; Computer security","score_opus":0.06774908333408015,"score_gpt":0.2691874561590534,"score_spread":0.20143837282497323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383533324","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33094108,0.00087953405,0.6348831,0.0028329403,0.00010608011,0.00026765742,0.00036986885,0.00021997213,0.029499749],"genre_scores_gemma":[0.9150223,0.0008866623,0.07102617,0.00019211236,0.00010734801,0.00020938454,0.00023577774,0.00014986847,0.012170424],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969708,0.0013602165,0.0001877551,0.0005398036,0.00044444232,0.00049688626],"domain_scores_gemma":[0.9852754,0.009473564,0.0024128081,0.0009833293,0.0008117784,0.0010431237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062143565,0.001109556,0.002212424,0.000812535,0.0010037275,0.002847699,0.001691316,0.0027730458,0.00477062],"category_scores_gemma":[0.03209302,0.0012677907,0.001321644,0.0009180847,0.00345042,0.0056968085,0.0019493521,0.0029632894,0.0007295826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037045655,0.00022660395,0.0024996507,0.00013461841,0.00010105229,0.0003431148,0.00030932424,0.41117597,0.0010790569,0.5644198,0.0021124783,0.017227925],"study_design_scores_gemma":[0.000116998475,0.00012606953,0.0005401366,0.000038673843,0.000019924035,0.000088901535,0.000086744214,0.55563235,0.0004095069,0.44191948,0.0009923062,0.00002881851],"about_ca_topic_score_codex":0.0025961318,"about_ca_topic_score_gemma":0.0016453664,"teacher_disagreement_score":0.0062143565,"about_ca_system_score_codex":0.001995456,"about_ca_system_score_gemma":0.0027366765,"threshold_uncertainty_score":0.032865047},"labels":[],"label_agreement":null},{"id":"W4383647442","doi":"10.2139/ssrn.4504080","title":"Optimal Delegation Contract with Portfolio Risk","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"Delegation; Portfolio; Business; Actuarial science; Risk analysis (engineering); Finance; Economics; Management","score_opus":0.019738831451496772,"score_gpt":0.21698202524511115,"score_spread":0.19724319379361438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383647442","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4069136,0.0007331205,0.49251956,0.00713955,0.0002835119,0.00032185076,0.00047206736,0.0005227612,0.091093875],"genre_scores_gemma":[0.9595808,0.00024557533,0.021524986,0.00016792442,0.00012828024,0.00015284952,0.00006907679,0.00007667755,0.018054033],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966546,0.0016510005,0.00018405046,0.00041093613,0.0005405928,0.000558843],"domain_scores_gemma":[0.9876605,0.0076563093,0.0010143393,0.0014102596,0.0006560674,0.0016025279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006070685,0.00097377336,0.002026979,0.00084907573,0.00090969633,0.003797669,0.0016647524,0.0043523405,0.009825123],"category_scores_gemma":[0.022247713,0.0007522158,0.0007310295,0.0007867253,0.002321473,0.0058419574,0.002956996,0.0028301845,0.0010502377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059765094,0.000382821,0.0008352781,0.00013652167,0.000044879383,0.00023038949,0.00028331284,0.056606516,0.0021580402,0.9126419,0.004062535,0.022020152],"study_design_scores_gemma":[0.00024048943,0.00013459136,0.00048246208,0.000033360724,0.00002342113,0.00013433183,0.000083996594,0.30694282,0.0006496399,0.6892223,0.002026928,0.000025651838],"about_ca_topic_score_codex":0.0009655433,"about_ca_topic_score_gemma":0.00046322885,"teacher_disagreement_score":0.009825123,"about_ca_system_score_codex":0.002497658,"about_ca_system_score_gemma":0.0026493995,"threshold_uncertainty_score":0.032868266},"labels":[],"label_agreement":null},{"id":"W4383736458","doi":"10.3390/jrfm16070325","title":"Does the Investor’s Trading Experience Reduce Susceptibility to Heuristic-Driven Biases? The Moderating Role of Personality Traits","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Representativeness heuristic; Big Five personality traits; Cronbach's alpha; Heuristics; Confirmatory factor analysis; Stock market; Econometrics; Psychology; Personality; Actuarial science; Economics; Business; Marketing; Psychometrics; Social psychology; Clinical psychology; Computer science","score_opus":0.038031420965796314,"score_gpt":0.2457696087113505,"score_spread":0.2077381877455542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383736458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988746,0.000070901486,0.00014628009,0.00007111779,0.0000054835286,0.0000059963045,0.000009768485,0.0000016870697,0.0008141468],"genre_scores_gemma":[0.99958533,0.00004712969,0.00016538012,0.000030025069,0.000005645138,0.0000037318207,0.000011067876,9.1485344e-7,0.00015087744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878174,0.00055916957,0.00008068802,0.00012325274,0.00030274998,0.00015232142],"domain_scores_gemma":[0.9859038,0.007080012,0.0045437957,0.000928831,0.00050108583,0.0010424023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00168906,0.00019816324,0.00022198692,0.00030235157,0.0002587886,0.0010286621,0.00018218672,0.00033097304,0.001605339],"category_scores_gemma":[0.01392738,0.00013943916,0.00027088152,0.00024176146,0.00041779282,0.00041480476,0.00043316957,0.0006381612,0.000105674655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003424397,0.0006128447,0.9705546,0.00006465618,0.00019870869,0.00019695541,0.002619751,0.000183003,0.0030222982,0.00025746715,0.000106901476,0.02184038],"study_design_scores_gemma":[0.000006100552,0.00031037276,0.9975562,0.0000139779195,0.00004305712,0.000077371355,0.000951797,0.00026444165,0.00037145795,0.00020604834,0.00019096014,0.000008170638],"about_ca_topic_score_codex":0.00093980954,"about_ca_topic_score_gemma":0.0015510973,"teacher_disagreement_score":0.00168906,"about_ca_system_score_codex":0.0001854767,"about_ca_system_score_gemma":0.00042205845,"threshold_uncertainty_score":0.00893271},"labels":[],"label_agreement":null},{"id":"W4383737329","doi":"10.1111/1911-3846.12888","title":"Machine learning and the prediction of changes in profitability","year":2023,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Profitability index; Machine learning; Econometrics; Feature selection; Margin (machine learning); Computer science; Portfolio; Predictive power; Support vector machine; Contrast (vision); Explanatory power; Logistic regression; Economics; Financial economics; Finance","score_opus":0.10799156051564995,"score_gpt":0.30027880990121913,"score_spread":0.19228724938556918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383737329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92233926,0.0012344763,0.06947475,0.0019734176,0.000101271304,0.00004443548,0.0005471606,0.00037816443,0.003907117],"genre_scores_gemma":[0.9952453,0.00011132151,0.003941212,0.00004129646,0.000035324414,0.000012320716,0.00023442625,0.000010494108,0.00036831622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987024,0.00070156157,0.00006067437,0.00020518438,0.00022137914,0.00010876413],"domain_scores_gemma":[0.9802279,0.015232991,0.0024933585,0.0006784004,0.0010205628,0.00034669315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045837075,0.00062236487,0.0006314718,0.0015739182,0.00021963129,0.0015704788,0.0007870563,0.0008432725,0.0015245918],"category_scores_gemma":[0.024080554,0.00022218552,0.00043667498,0.0013042508,0.0006001799,0.0016201069,0.00058841804,0.0012846984,0.00046513058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004873585,0.0004191304,0.32363123,0.00009295081,0.00033822708,0.00016699552,0.00012621086,0.56543106,0.0008098292,0.0077800425,0.0035103685,0.097206555],"study_design_scores_gemma":[0.0000131906045,0.000055199016,0.033268664,0.000018689914,0.000012394972,0.0000230109,0.000022183585,0.95654285,0.00037702333,0.009330277,0.00032356984,0.000012889641],"about_ca_topic_score_codex":0.0047183153,"about_ca_topic_score_gemma":0.002367707,"teacher_disagreement_score":0.0047183153,"about_ca_system_score_codex":0.001017047,"about_ca_system_score_gemma":0.0006201288,"threshold_uncertainty_score":0.024241209},"labels":[],"label_agreement":null},{"id":"W4383739059","doi":"10.2139/ssrn.4494809","title":"Asset Pricing with Dividend Surprises","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; Carleton University","funders":"","keywords":"Dividend; Financial economics; Business; Capital asset pricing model; Economics; Asset (computer security); Actuarial science; Finance; Computer science","score_opus":0.02090404513638124,"score_gpt":0.21240265077952203,"score_spread":0.19149860564314078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383739059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6514309,0.003094156,0.30970547,0.005756894,0.00075033907,0.000044644483,0.0002689784,0.0005403021,0.0284084],"genre_scores_gemma":[0.98912454,0.00054051523,0.0023387447,0.000075345335,0.0003194038,0.000009775135,0.00005949738,0.000032847045,0.0074993894],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993843,0.0002314572,0.000040560702,0.0001022795,0.00014294207,0.00009847237],"domain_scores_gemma":[0.991927,0.0056206477,0.00095496024,0.00050828344,0.00047921276,0.0005097507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002849357,0.0008219707,0.0012283273,0.0007650845,0.0003678835,0.003043717,0.001067976,0.0025936684,0.0047204294],"category_scores_gemma":[0.030395266,0.00061717094,0.0007725592,0.00081480364,0.001301861,0.0054653003,0.0012057499,0.002572615,0.0005156354],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004019249,0.00017312937,0.010372949,0.00021147054,0.00013421878,0.0031972448,0.00033607133,0.25118327,0.0031882173,0.690745,0.005621771,0.034434732],"study_design_scores_gemma":[0.000032853364,0.00006170601,0.0020802177,0.000013236451,0.00002943443,0.00043246444,0.00004844677,0.68140143,0.00038006346,0.3149652,0.0005294053,0.000025536376],"about_ca_topic_score_codex":0.0011018126,"about_ca_topic_score_gemma":0.00058595586,"teacher_disagreement_score":0.0047204294,"about_ca_system_score_codex":0.00072617194,"about_ca_system_score_gemma":0.00043740927,"threshold_uncertainty_score":0.015791357},"labels":[],"label_agreement":null},{"id":"W4383888156","doi":"10.1111/joes.12577","title":"Segmentation of the Chinese stock market: A review","year":2023,"lang":"en","type":"review","venue":"Journal of Economic Surveys","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Guelph","funders":"","keywords":"Shares outstanding; Shareholder; Profitability index; Business; Market capitalization; Stock market; Market segmentation; Economics; Corporate governance; Currency; Leveraged buyout; Monetary economics; Financial economics; Finance; Microeconomics","score_opus":0.09793267904037031,"score_gpt":0.32079369396549445,"score_spread":0.22286101492512414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383888156","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00049054035,0.9987746,0.000032753345,0.000165531,0.000049517614,0.0000052158694,0.000029597237,0.0000024553813,0.00044976023],"genre_scores_gemma":[0.003465925,0.99612254,0.000047176556,0.000117929645,0.00010721929,0.0000061076767,0.00003429439,6.567097e-7,0.000098124205],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99969053,0.00005211214,0.00006886941,0.000054609718,0.000110879904,0.000023061282],"domain_scores_gemma":[0.9990007,0.0004420447,0.00022840018,0.00001878499,0.00025390086,0.000056085366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010644327,0.0007044677,0.0012431998,0.0056616045,0.00028206687,0.001174744,0.0007865191,0.00063117483,0.0032028973],"category_scores_gemma":[0.0020043154,0.00029657062,0.0007179077,0.0069847098,0.00052277814,0.0015869507,0.00053377904,0.00045863455,0.00038273807],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012594795,0.00006031412,0.0033694955,0.06008589,0.00035718037,0.00018836494,0.00015421491,0.00036879093,0.0004729464,0.0028522646,0.019799372,0.9121652],"study_design_scores_gemma":[0.00012334518,0.0005399428,0.06879786,0.072648846,0.0035754216,0.0029438555,0.00061054755,0.0007658431,0.0011828331,0.0044255788,0.8442561,0.00012982773],"about_ca_topic_score_codex":0.0057389196,"about_ca_topic_score_gemma":0.0065616937,"teacher_disagreement_score":0.0057389196,"about_ca_system_score_codex":0.00092002033,"about_ca_system_score_gemma":0.002591503,"threshold_uncertainty_score":0.011411011},"labels":[],"label_agreement":null},{"id":"W4384027185","doi":"10.2139/ssrn.4501822","title":"Earnings Announcements in China: Overnight-Intraday Disparity","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada); University of Toronto","funders":"","keywords":"Earnings; China; Business; Financial system; Monetary economics; Economics; Finance; Geography","score_opus":0.013852505522235653,"score_gpt":0.21302642332980393,"score_spread":0.19917391780756827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384027185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985065,0.0001289536,0.00004797716,0.00020344598,0.000007746793,0.0000028835507,0.0001825573,0.000004244232,0.0009156742],"genre_scores_gemma":[0.9995555,0.000043525353,0.000009417301,0.000011895221,0.000016122485,7.041212e-7,0.00015152803,9.550301e-7,0.00021028516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961495,0.000041666484,0.000034067638,0.000069370435,0.00009722864,0.00014265037],"domain_scores_gemma":[0.9963231,0.00075238035,0.001749345,0.00012915036,0.0005685329,0.00047744162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009106212,0.0001816078,0.00026230235,0.0012377853,0.00045781644,0.0011056125,0.00039097623,0.0004487761,0.002115043],"category_scores_gemma":[0.0033448217,0.00015457901,0.00022511456,0.0017867126,0.00034763452,0.00091816246,0.0008558876,0.0004587242,0.00021619645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023901135,0.00006757105,0.9880163,0.00001856831,0.000040244828,0.00036581396,0.00062347815,0.0005934036,0.0005811419,0.0009865093,0.0011192465,0.0073486664],"study_design_scores_gemma":[0.0000066708685,0.000029555778,0.99681646,0.0000030656438,0.000017233453,0.000040951527,0.0005206031,0.0019104542,0.000099456294,0.00019821979,0.0003481813,0.000009251697],"about_ca_topic_score_codex":0.03320075,"about_ca_topic_score_gemma":0.03457605,"teacher_disagreement_score":0.03320075,"about_ca_system_score_codex":0.0009383158,"about_ca_system_score_gemma":0.0008202493,"threshold_uncertainty_score":0.066015005},"labels":[],"label_agreement":null},{"id":"W4384068820","doi":"10.1007/s00146-023-01718-w","title":"Identifying arbitrage opportunities in retail markets with artificial intelligence","year":2023,"lang":"en","type":"article","venue":"AI & Society","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Arbitrage; Profit (economics); Purchasing; Yield (engineering); Economics; Computer science; Artificial intelligence; Marketing; Business; Econometrics; Microeconomics; Financial economics","score_opus":0.1490211714588685,"score_gpt":0.26447560115966423,"score_spread":0.11545442970079572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384068820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8017926,0.00066046964,0.19067554,0.0007322427,0.000030151667,0.00006817468,0.00017904668,0.00024195299,0.0056198277],"genre_scores_gemma":[0.9890109,0.00009181488,0.010227742,0.000018266894,0.000014614699,0.0000119377055,0.00005559817,0.000006346771,0.0005628022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994599,0.00023908594,0.00004728742,0.0000994894,0.000080341015,0.0000739413],"domain_scores_gemma":[0.9924609,0.006496834,0.00048936,0.0001956687,0.00020064822,0.00015661381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001888405,0.0004115912,0.0006719729,0.001956449,0.00040475107,0.0022923618,0.0006383847,0.001199004,0.0024210785],"category_scores_gemma":[0.011096522,0.0004666808,0.00055388594,0.0009148621,0.00087314006,0.003234804,0.0009761936,0.0012039606,0.00014164794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008991739,0.0006771697,0.05197422,0.0001783846,0.00027024915,0.0005671698,0.00029882573,0.7511652,0.0024206375,0.08312981,0.001564593,0.1068545],"study_design_scores_gemma":[0.000010607675,0.000021098112,0.0011459818,0.000004659436,0.0000075719527,0.00001560139,0.00003181066,0.969739,0.00019422827,0.028737592,0.000087666434,0.0000042453385],"about_ca_topic_score_codex":0.0021968936,"about_ca_topic_score_gemma":0.0020779674,"teacher_disagreement_score":0.0024210785,"about_ca_system_score_codex":0.00051868154,"about_ca_system_score_gemma":0.00055320107,"threshold_uncertainty_score":0.009986997},"labels":[],"label_agreement":null},{"id":"W4384299814","doi":"10.31235/osf.io/tgvb2","title":"Address Challenges Markowitz (1952) Faces: A New Measure of Asset Risk","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Measure (data warehouse); Asset (computer security); Economics; Risk measure; Actuarial science; Computer science; Financial economics; Business; Econometrics; Computer security; Data mining; Portfolio","score_opus":0.1613038395394228,"score_gpt":0.25758071975285474,"score_spread":0.09627688021343195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384299814","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07241908,0.048119485,0.6959645,0.119134836,0.0028848764,0.000093240524,0.0007163306,0.00026805667,0.06039957],"genre_scores_gemma":[0.8687657,0.013481644,0.095924,0.0058071185,0.0064669447,0.0001665041,0.00021923818,0.0001923234,0.0089765405],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99707925,0.001033193,0.00019977128,0.00060565677,0.0009274926,0.00015463607],"domain_scores_gemma":[0.9907141,0.005198636,0.0014036564,0.0009698692,0.0012771386,0.0004366447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006483765,0.0010107245,0.0014893905,0.0018118642,0.0013709473,0.006578865,0.0022022726,0.0036384386,0.0020594804],"category_scores_gemma":[0.021470856,0.0005550356,0.0012294521,0.0020421953,0.0068794824,0.014489178,0.003414083,0.007874099,0.0006100615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018320961,0.00001825587,0.0017282952,0.00005831864,0.00002610189,0.00009976968,0.00027524578,0.0030202502,0.0001762144,0.9731328,0.0034985365,0.017947996],"study_design_scores_gemma":[0.000004919594,0.000020667201,0.0007480254,0.000057096415,0.000008269264,0.00010264425,0.00011345106,0.007733124,0.00013453669,0.9794151,0.0116367545,0.000025357458],"about_ca_topic_score_codex":0.0024449958,"about_ca_topic_score_gemma":0.0014425184,"teacher_disagreement_score":0.006578865,"about_ca_system_score_codex":0.004091906,"about_ca_system_score_gemma":0.002115946,"threshold_uncertainty_score":0.034289837},"labels":[],"label_agreement":null},{"id":"W4384435815","doi":"10.1108/ijmf-11-2022-0506","title":"Does the S&amp;P index effect differ between large and small company stocks?","year":2023,"lang":"en","type":"article","venue":"International Journal of Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Market liquidity; Economics; Event study; Market capitalization; Monetary economics; Financial economics; Econometrics; Stock market","score_opus":0.026111511184149595,"score_gpt":0.2435681769316298,"score_spread":0.2174566657474802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384435815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99564666,0.00043693077,0.00030101353,0.00029602784,0.00004910135,0.000045360986,0.00024612615,0.000007853002,0.002970823],"genre_scores_gemma":[0.9987116,0.00006770508,0.0001159852,0.00018271743,0.000048761394,0.000017896962,0.00019762042,0.000008649125,0.0006491213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868864,0.00033445063,0.00010249244,0.00045635094,0.00025825764,0.00015981689],"domain_scores_gemma":[0.97347045,0.017298507,0.0053931493,0.001429392,0.0005238633,0.0018846798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023092928,0.00023034436,0.00048624008,0.0004666681,0.00026373548,0.0009029773,0.0004808772,0.0006630484,0.010880722],"category_scores_gemma":[0.01799118,0.00011938312,0.00075159816,0.00037173007,0.0007217275,0.0009983706,0.0006322291,0.0007734096,0.0009820842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011973582,0.000848388,0.95703936,0.00017712725,0.0006526767,0.00032480469,0.00058351184,0.000220335,0.0045261597,0.00057819096,0.00053108204,0.022544721],"study_design_scores_gemma":[0.000041713763,0.00090338296,0.99720037,0.000010740109,0.000106247426,0.000056613753,0.00030078655,0.00021104307,0.00054521894,0.0002471526,0.0003709922,0.000005803814],"about_ca_topic_score_codex":0.0015495811,"about_ca_topic_score_gemma":0.0015007413,"teacher_disagreement_score":0.010880722,"about_ca_system_score_codex":0.00033813718,"about_ca_system_score_gemma":0.00027631014,"threshold_uncertainty_score":0.036399603},"labels":[],"label_agreement":null},{"id":"W4384558205","doi":"10.3390/jrfm16070336","title":"Agency Problem and Stock Returns: Combining Measures of Asset Growth and Gross Profit","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Agency cost; Economics; Stock (firearms); Gross profit; Profit (economics); Asset turnover; Business; Econometrics; Financial economics; Actuarial science; Finance; Microeconomics; Return on assets","score_opus":0.03327780395264242,"score_gpt":0.21934233218656063,"score_spread":0.18606452823391822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384558205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83405864,0.0030082196,0.14889239,0.0013926784,0.00011944625,0.00018071535,0.0012094764,0.0004910702,0.010647392],"genre_scores_gemma":[0.9821456,0.0003501914,0.01629747,0.000054041364,0.00016156051,0.000028894801,0.0004405305,0.000016772348,0.00050488557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782526,0.00065904425,0.0002095877,0.0003950016,0.0007246861,0.00018643889],"domain_scores_gemma":[0.98171943,0.0075102528,0.0064394665,0.0017467756,0.0015782164,0.0010058207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029975108,0.0011490186,0.0009821824,0.0045194062,0.00032136758,0.00270647,0.0006702189,0.0008365226,0.001185919],"category_scores_gemma":[0.018179035,0.00022996691,0.00090832904,0.00398705,0.0010699389,0.0046551586,0.0013323824,0.0015149869,0.00042918004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023340949,0.00035891702,0.82428676,0.00010548851,0.0007560217,0.0002553505,0.00020921731,0.02654934,0.0017446787,0.00945111,0.0014613506,0.13458832],"study_design_scores_gemma":[0.000059600312,0.0009351339,0.6371708,0.000118732125,0.00035166688,0.00074820704,0.00040121863,0.31224158,0.004554735,0.03829661,0.0049400553,0.00018171256],"about_ca_topic_score_codex":0.0026843792,"about_ca_topic_score_gemma":0.0024036602,"teacher_disagreement_score":0.0045194062,"about_ca_system_score_codex":0.00058627874,"about_ca_system_score_gemma":0.0006432177,"threshold_uncertainty_score":0.01585257},"labels":[],"label_agreement":null},{"id":"W4384558232","doi":"10.3390/jrfm16070337","title":"The Effects of Option Trading Behavior on Option Prices","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Texas at Arlington","keywords":"Overconfidence effect; Implied volatility; Equity (law); Economics; Volatility (finance); Financial economics; Skewness; Volatility smile; Binary option; Exotic option; Volatility swap; Trading strategy; Valuation of options; Econometrics","score_opus":0.013838423330906407,"score_gpt":0.21059660851087805,"score_spread":0.19675818517997165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384558232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963231,0.00023112858,0.000996475,0.000107784916,0.0000064029828,0.000006022634,0.000074843076,0.000010278392,0.0022439726],"genre_scores_gemma":[0.99919325,0.00011521488,0.00032281887,0.000015930182,0.000014043356,0.0000032456114,0.000075210795,0.000005695009,0.00025457054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987575,0.0005736045,0.00013042311,0.00014738254,0.0002691398,0.00012194612],"domain_scores_gemma":[0.90907574,0.070712,0.013695218,0.0026331756,0.0015542211,0.0023297104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00217747,0.00034353064,0.00035688744,0.0009493306,0.0002547231,0.0017341444,0.00043917468,0.00075490726,0.0048822355],"category_scores_gemma":[0.04420175,0.00026936896,0.0004235691,0.000978247,0.0006440759,0.0016529119,0.0007240977,0.001287706,0.0005230817],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007178474,0.00048052592,0.9553873,0.00006488981,0.0002717018,0.00058532873,0.00040391358,0.0033315788,0.0064843916,0.00321495,0.00012551334,0.028932093],"study_design_scores_gemma":[0.0000126200675,0.000193636,0.9886595,0.000016235532,0.000060721384,0.00033472653,0.00014093042,0.005766881,0.0007442298,0.003830492,0.0002184306,0.00002162063],"about_ca_topic_score_codex":0.0008877381,"about_ca_topic_score_gemma":0.0010781694,"teacher_disagreement_score":0.0048822355,"about_ca_system_score_codex":0.00031822338,"about_ca_system_score_gemma":0.0002285108,"threshold_uncertainty_score":0.016332746},"labels":[],"label_agreement":null},{"id":"W4384916851","doi":"10.2139/ssrn.4506410","title":"Address Challenges Markowitz (1952) Faces: A New Measure of Asset Risk","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Measure (data warehouse); Asset (computer security); Business; Computer science; Actuarial science; Economics; Risk analysis (engineering); Computer security; Data mining","score_opus":0.04420624195705533,"score_gpt":0.22931930786820195,"score_spread":0.18511306591114662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384916851","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.105254546,0.049127895,0.6336286,0.12400897,0.0075533916,0.0000797311,0.00088114565,0.00027713893,0.07918859],"genre_scores_gemma":[0.8779615,0.014598171,0.07757499,0.004722231,0.012567314,0.00013000374,0.00026393693,0.00014077254,0.012041029],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981008,0.00072189723,0.00015427293,0.00032534922,0.00061824394,0.00007944162],"domain_scores_gemma":[0.99333256,0.0037055553,0.0009455083,0.00058952393,0.0010633724,0.00036348397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004678906,0.0009588161,0.001227162,0.0026465382,0.001187833,0.0056182593,0.0012268942,0.0023900215,0.002751763],"category_scores_gemma":[0.020897105,0.0002518172,0.0005971156,0.0026636955,0.0038460572,0.013486712,0.0029809962,0.0043397644,0.00064829295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027986793,0.000029669302,0.0021876802,0.000086202344,0.00003374075,0.00007732384,0.00028872615,0.0017295664,0.00027849848,0.93704575,0.0075268922,0.050687894],"study_design_scores_gemma":[0.000006353462,0.000029037008,0.0010459846,0.000050089413,0.000012563179,0.0001467357,0.00016704322,0.004487018,0.00022607845,0.9719696,0.021829313,0.000030133646],"about_ca_topic_score_codex":0.0009483199,"about_ca_topic_score_gemma":0.0008468335,"teacher_disagreement_score":0.0056182593,"about_ca_system_score_codex":0.0020182435,"about_ca_system_score_gemma":0.0011557869,"threshold_uncertainty_score":0.02474469},"labels":[],"label_agreement":null},{"id":"W4385007671","doi":"10.48550/arxiv.2307.11012","title":"Fast and Furious: A High-Frequency Analysis of Robinhood Users' Trading Behavior","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Contrarian; Business; Monetary economics; Trading strategy; Economics; Financial economics","score_opus":0.09448380559687364,"score_gpt":0.18025459912133332,"score_spread":0.08577079352445968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385007671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998226,0.000045252444,0.00049135875,0.000034846667,0.000003583785,0.000005804755,0.00022734675,0.000012804943,0.0009528867],"genre_scores_gemma":[0.99865663,0.000033198743,0.00041730382,0.000018860324,0.000011051373,0.0000055199425,0.00024324803,0.0000044153685,0.00060965074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979097,0.000065285414,0.000013479334,0.00004174375,0.000048364567,0.000040147293],"domain_scores_gemma":[0.9976598,0.0010156926,0.0007504801,0.00015968605,0.00018304221,0.00023137864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045539121,0.00012363037,0.00017513633,0.0007962943,0.00014902864,0.0005656171,0.00014598266,0.00027043995,0.002111994],"category_scores_gemma":[0.0025450252,0.00006126953,0.00012246362,0.00056264503,0.00012696916,0.0003914657,0.0003036964,0.0002394573,0.0005544934],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004953761,0.00020284133,0.94445574,0.000050249906,0.00011162824,0.0004337412,0.0011646537,0.00075429695,0.011146404,0.00094992237,0.0014698879,0.038765296],"study_design_scores_gemma":[0.000005023997,0.00011905338,0.98956794,0.00000840204,0.00002248063,0.00033023392,0.00073636894,0.0068528787,0.00090343633,0.00034855877,0.0010902559,0.000015329653],"about_ca_topic_score_codex":0.0015385543,"about_ca_topic_score_gemma":0.001974898,"teacher_disagreement_score":0.002111994,"about_ca_system_score_codex":0.000091751215,"about_ca_system_score_gemma":0.00006683216,"threshold_uncertainty_score":0.007065356},"labels":[],"label_agreement":null},{"id":"W4385059904","doi":"10.2139/ssrn.4518345","title":"Trend Breaks and the Persistence of Closed-End Mutual Fund Discounts","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Persistence (discontinuity); Closed-end fund; Mutual fund; Economics; Business; Financial economics; Monetary economics; Finance","score_opus":0.047908115687511646,"score_gpt":0.23375785551982856,"score_spread":0.1858497398323169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385059904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98454213,0.00093700347,0.009875572,0.0009090787,0.000042443957,0.000011091095,0.0004913147,0.00007845232,0.0031128838],"genre_scores_gemma":[0.99843115,0.00019565469,0.00034751836,0.000018029274,0.000035380555,0.0000030912295,0.00014108117,0.0000142743565,0.000813903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933463,0.00012779587,0.000062836494,0.00022105016,0.00013141942,0.00012227625],"domain_scores_gemma":[0.9586597,0.022380253,0.013497289,0.002777914,0.0013674108,0.0013174689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004687136,0.00022057186,0.0007732633,0.0012626726,0.0005853279,0.0033833669,0.0010888521,0.001831171,0.005828834],"category_scores_gemma":[0.06372622,0.00052165217,0.00053760526,0.0012752617,0.0012283039,0.0041749994,0.0009494563,0.0031842752,0.00048901665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002759429,0.00035113064,0.4183221,0.00040051932,0.0007245928,0.0018983589,0.0047133835,0.06224841,0.009039352,0.36680874,0.009771267,0.12296281],"study_design_scores_gemma":[0.00014830579,0.00034474532,0.4010649,0.00012828616,0.0003179458,0.0009954004,0.0015087065,0.20044313,0.0019393784,0.3870999,0.005810827,0.00019842102],"about_ca_topic_score_codex":0.002904098,"about_ca_topic_score_gemma":0.0024247572,"teacher_disagreement_score":0.005828834,"about_ca_system_score_codex":0.0010482506,"about_ca_system_score_gemma":0.00025683912,"threshold_uncertainty_score":0.0247882},"labels":[],"label_agreement":null},{"id":"W4385062809","doi":"10.2139/ssrn.4507157","title":"Is Intangibles Talk Informative about Future Returns? Evidence from 10-K Filings","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Business; Accounting; Financial economics; Economics","score_opus":0.024955545600201235,"score_gpt":0.2357551486787232,"score_spread":0.21079960307852194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385062809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98369986,0.0005301753,0.00034865367,0.0017776362,0.000060208673,0.000010113704,0.0016358854,0.000022026157,0.011915573],"genre_scores_gemma":[0.9946713,0.0005487757,0.00012222942,0.000106322754,0.00009645805,0.0000072678577,0.0014398755,0.000016423543,0.0029914428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99765897,0.0006876739,0.00028346188,0.00028042862,0.00065981195,0.00042969192],"domain_scores_gemma":[0.83286566,0.099484585,0.049327374,0.006384583,0.009326771,0.0026111056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004166266,0.00036481398,0.00050539395,0.001721373,0.0009360063,0.0036972906,0.0011424453,0.0021546902,0.013815957],"category_scores_gemma":[0.059779707,0.00038978533,0.00033910017,0.002428265,0.0009576411,0.002836713,0.001386402,0.0022335695,0.006363679],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037259227,0.0010252347,0.92976123,0.00020325421,0.0002630127,0.00095258164,0.0028159132,0.0013128492,0.0009508947,0.0039749746,0.010126224,0.044887908],"study_design_scores_gemma":[0.00010426193,0.00034870612,0.98141587,0.0001559403,0.00023235258,0.0003037935,0.003403593,0.0017633291,0.0015175203,0.003643108,0.0070482804,0.00006321841],"about_ca_topic_score_codex":0.008299043,"about_ca_topic_score_gemma":0.0077705747,"teacher_disagreement_score":0.013815957,"about_ca_system_score_codex":0.0006433728,"about_ca_system_score_gemma":0.0005646462,"threshold_uncertainty_score":0.04621905},"labels":[],"label_agreement":null},{"id":"W4385210106","doi":"10.2139/ssrn.4513205","title":"Hedge Funds With(out) Edge","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Wilfrid Laurier University","funders":"","keywords":"Hedge fund; Business; Alternative beta; Fund of funds; Global assets under management; Financial system; Institutional investor; Finance; Corporate governance; Market liquidity","score_opus":0.024509778623245222,"score_gpt":0.21454250815351983,"score_spread":0.1900327295302746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385210106","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41073644,0.0036180492,0.06016263,0.007896503,0.0018158737,0.00012278129,0.0014600365,0.0013720777,0.51281565],"genre_scores_gemma":[0.94987875,0.00048606517,0.0029351986,0.000543327,0.00048718287,0.000019162644,0.00028207572,0.000046652196,0.0453216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999648,0.000040691215,0.000020257003,0.00006127425,0.0001022233,0.00012758395],"domain_scores_gemma":[0.99886036,0.0002287502,0.00028313437,0.0002281478,0.000186384,0.00021326092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000649186,0.0003102163,0.0003842745,0.00058487005,0.0005064908,0.0034411652,0.0005610588,0.0016670522,0.025134241],"category_scores_gemma":[0.004454681,0.00014057083,0.00030289602,0.00052051723,0.00047312924,0.0026610116,0.001267845,0.0007825016,0.0030622708],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012687345,0.0002562116,0.014382652,0.00021060825,0.00014527445,0.0016684049,0.00027167992,0.0060980963,0.0032817612,0.6432649,0.073204786,0.25594696],"study_design_scores_gemma":[0.00037080699,0.00041398712,0.00899955,0.00015811196,0.00016866022,0.0020787795,0.00040466504,0.030195586,0.007968575,0.7427604,0.20643184,0.000048972204],"about_ca_topic_score_codex":0.00044447463,"about_ca_topic_score_gemma":0.0005392904,"teacher_disagreement_score":0.025134241,"about_ca_system_score_codex":0.00032186892,"about_ca_system_score_gemma":0.0006323818,"threshold_uncertainty_score":0.084082365},"labels":[],"label_agreement":null},{"id":"W4385231801","doi":"10.2139/ssrn.4515586","title":"An ETF-Based Measure of Stock Price Fragility","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Fragility; Measure (data warehouse); Stock price; Financial economics; Econometrics; Economics; Business; Computer science; Data mining; Chemistry; Geology","score_opus":0.026011276119865066,"score_gpt":0.23180652810904295,"score_spread":0.2057952519891779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385231801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8134863,0.0015773525,0.14908,0.00076624064,0.00026767902,0.00015680834,0.010976079,0.0008634837,0.02282609],"genre_scores_gemma":[0.983928,0.00025138873,0.010258011,0.00008436038,0.0002157678,0.000050149934,0.0028026716,0.000028202912,0.0023814426],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906,0.00013021872,0.00011798584,0.0001443949,0.0004477949,0.0000996064],"domain_scores_gemma":[0.9937621,0.0024288124,0.0018397585,0.00055006845,0.0011292597,0.0002900797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016894579,0.0005642935,0.00048779964,0.006350026,0.00029477468,0.0016221382,0.000706847,0.0012768406,0.0056568286],"category_scores_gemma":[0.011648284,0.00015357953,0.0005846886,0.0028538664,0.00043808273,0.0027810584,0.00073851517,0.0007585074,0.0010880791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086621044,0.00051633007,0.5582293,0.00030641648,0.00082218915,0.0008503756,0.00020407261,0.11355387,0.028912729,0.037806377,0.009036637,0.24889551],"study_design_scores_gemma":[0.000049181806,0.00052803924,0.51206297,0.00010398005,0.0001476512,0.0015967498,0.00017437944,0.44455186,0.008883129,0.025005277,0.0067171976,0.00017954102],"about_ca_topic_score_codex":0.0014980792,"about_ca_topic_score_gemma":0.0012427435,"teacher_disagreement_score":0.006350026,"about_ca_system_score_codex":0.00066936034,"about_ca_system_score_gemma":0.00029972807,"threshold_uncertainty_score":0.018923998},"labels":[],"label_agreement":null},{"id":"W4385272747","doi":"10.3390/jrfm16080349","title":"Moored Minds: An Experimental Insight into the Impact of the Anchoring and Disposition Effect on Portfolio Performance","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disposition effect; Anchoring; Portfolio; Volatility (finance); Behavioral economics; Financial market; Disposition; Economics; Investor behavior; Investment decisions; Cognitive bias; Monetary economics; Business; Financial economics; Microeconomics; Cognition; Finance; Psychology; Social psychology","score_opus":0.011064820689486585,"score_gpt":0.2257513419212009,"score_spread":0.2146865212317143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385272747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938112,0.000024935784,0.003106757,0.00009144439,0.000022912323,0.00013437711,0.000048263228,0.000022147824,0.002737937],"genre_scores_gemma":[0.99106205,0.000041837528,0.0072992253,0.00012692495,0.000015629905,0.00032842677,0.000043582048,0.00000874405,0.0010737478],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873906,0.00063246913,0.000092086084,0.0002560097,0.00020881636,0.00007164275],"domain_scores_gemma":[0.9908626,0.005954591,0.0013063645,0.001340229,0.0001892616,0.00034694304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022398746,0.00030356235,0.00034690616,0.00022364399,0.0002749528,0.00096287974,0.00042324155,0.0005851642,0.004465903],"category_scores_gemma":[0.012355916,0.00023869208,0.0002463639,0.00014727202,0.0007911748,0.00077976275,0.00075152656,0.00073066284,0.0003341486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03580574,0.058167633,0.15844384,0.0017479386,0.0007613531,0.0010867963,0.019199992,0.014071951,0.43170533,0.05437639,0.0023636103,0.22226946],"study_design_scores_gemma":[0.008827058,0.1504068,0.5383137,0.000359132,0.0012075444,0.0011236675,0.005879253,0.06275802,0.105260886,0.10151542,0.023852415,0.00049612945],"about_ca_topic_score_codex":0.00021446383,"about_ca_topic_score_gemma":0.00025337635,"teacher_disagreement_score":0.004465903,"about_ca_system_score_codex":0.00019742225,"about_ca_system_score_gemma":0.0003244003,"threshold_uncertainty_score":0.014939964},"labels":[],"label_agreement":null},{"id":"W4385272923","doi":"10.3390/jrfm16080347","title":"Portfolio Performance of European Target Prices","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Ministério da Ciência, Tecnologia e Ensino Superior","keywords":"Portfolio; Homogeneous; Sample (material); Econometrics; Investment (military); Index (typography); Portfolio optimization; Economics; Investment strategy; Transaction cost; Financial economics; Actuarial science; Computer science; Market liquidity; Monetary economics; Mathematics; Finance","score_opus":0.0139637823067414,"score_gpt":0.18993871390966027,"score_spread":0.17597493160291888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385272923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98691165,0.00023237463,0.009702914,0.00008371328,0.000014065008,0.000024962146,0.00014380705,0.00013368201,0.002752753],"genre_scores_gemma":[0.9954898,0.000060464256,0.0035587028,0.000016342898,0.0000086869095,0.0000087212,0.0003881318,0.00001198422,0.0004572658],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9961979,0.0012441461,0.00032558382,0.0007487768,0.0012471636,0.00023639765],"domain_scores_gemma":[0.98920864,0.0047389627,0.0023484237,0.0016717005,0.0016653046,0.00036694817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007271309,0.0005691365,0.0005916099,0.0013894982,0.00023134823,0.002528742,0.0007306291,0.00081282697,0.00093783985],"category_scores_gemma":[0.025139686,0.00024406359,0.0004355774,0.0013384452,0.00032377368,0.0022519887,0.00094863895,0.0005002672,0.00036221452],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002504391,0.0005327642,0.3087415,0.00014045753,0.00097002625,0.0003533519,0.00052135787,0.2975808,0.010788805,0.008361552,0.0022897029,0.36721528],"study_design_scores_gemma":[0.00025019224,0.0034093868,0.26664817,0.00006123756,0.00024196423,0.00047831584,0.00035895093,0.6899922,0.024519742,0.008893785,0.0049986267,0.000147454],"about_ca_topic_score_codex":0.0012377364,"about_ca_topic_score_gemma":0.0005991428,"teacher_disagreement_score":0.007271309,"about_ca_system_score_codex":0.0006837838,"about_ca_system_score_gemma":0.0003892341,"threshold_uncertainty_score":0.03845477},"labels":[],"label_agreement":null},{"id":"W4385341546","doi":"10.3390/jrfm16080356","title":"The Six Decades of the Capital Asset Pricing Model: A Research Agenda","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Financial economics; Economics; Portfolio; Market portfolio; Systematic risk; Extant taxon; Consumption-based capital asset pricing model; Treynor ratio; Actuarial science; Sharpe ratio","score_opus":0.05369978977833012,"score_gpt":0.2746045763948682,"score_spread":0.22090478661653806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385341546","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0133740725,0.77415055,0.020452438,0.15732183,0.0043399017,0.00002889342,0.00018722804,0.00008436454,0.030060664],"genre_scores_gemma":[0.15927914,0.7992729,0.013113986,0.009514256,0.0138901,0.00007326953,0.0002473776,0.00011498918,0.0044939653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99675226,0.001389991,0.0002242829,0.0004257983,0.0009969189,0.0002107381],"domain_scores_gemma":[0.96990997,0.021578807,0.0014447308,0.0018287831,0.0043590493,0.0008786928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0134335505,0.00063218386,0.0015857937,0.0070337355,0.0019894626,0.008824111,0.0016334358,0.0037729896,0.0037076084],"category_scores_gemma":[0.020912666,0.0005576127,0.00084649917,0.012822282,0.006292111,0.023528393,0.0029934694,0.006892876,0.0012745953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010232277,0.00013101268,0.004145628,0.0024869866,0.0000775398,0.00019248234,0.0026008,0.0024653603,0.00022816822,0.6624727,0.026568467,0.29852858],"study_design_scores_gemma":[0.0000118306,0.00008716382,0.0033546034,0.006026203,0.00005643036,0.0003251821,0.0045243897,0.004433223,0.00031543558,0.5722704,0.4085164,0.00007872732],"about_ca_topic_score_codex":0.0038029836,"about_ca_topic_score_gemma":0.002099588,"teacher_disagreement_score":0.0134335505,"about_ca_system_score_codex":0.004293578,"about_ca_system_score_gemma":0.008335664,"threshold_uncertainty_score":0.07104421},"labels":[],"label_agreement":null},{"id":"W4385466789","doi":"10.2139/ssrn.4525782","title":"Portfolio Selection over Ordinal Uncertainty Sets","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Sign (mathematics); Portfolio optimization; Rank (graph theory); Portfolio; Econometrics; Mathematics; Financial economics; Economics; Combinatorics","score_opus":0.018438355403494335,"score_gpt":0.2323126905432086,"score_spread":0.21387433513971427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385466789","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28096643,0.0014046679,0.70515156,0.0010927783,0.000087250875,0.00011530898,0.00039872626,0.0002828393,0.01050035],"genre_scores_gemma":[0.9664256,0.0006900025,0.027513236,0.00010017715,0.00017633961,0.00010489788,0.0003704196,0.000035464454,0.0045838733],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99586284,0.0023008264,0.00021788491,0.00044453307,0.00084025715,0.0003337044],"domain_scores_gemma":[0.97004503,0.024932245,0.0023033642,0.0010642937,0.00088600005,0.0007690144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066893776,0.0007007412,0.0013551835,0.0020494733,0.00037875288,0.0030920592,0.00094278844,0.0008853851,0.005380506],"category_scores_gemma":[0.033152904,0.0005525761,0.0007669412,0.002283584,0.0008142169,0.004095094,0.0018371212,0.0015264401,0.0004293116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006670287,0.00022717583,0.017312462,0.000398884,0.00044814748,0.00056383084,0.00025787752,0.46004608,0.0015694271,0.35671943,0.0031428381,0.15864684],"study_design_scores_gemma":[0.000045945533,0.00017607502,0.00294325,0.000052055417,0.000040026094,0.00013027719,0.00005142168,0.72942495,0.00037770616,0.26591402,0.0008212778,0.000023022129],"about_ca_topic_score_codex":0.00042645415,"about_ca_topic_score_gemma":0.0003687088,"teacher_disagreement_score":0.0066893776,"about_ca_system_score_codex":0.000897749,"about_ca_system_score_gemma":0.0004551187,"threshold_uncertainty_score":0.035377264},"labels":[],"label_agreement":null},{"id":"W4385489135","doi":"10.1109/compsac57700.2023.00207","title":"Comparison of Trading Strategies: Dual Momentum vs Pairs Trading","year":2023,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Trading strategy; Pairs trade; Profitability index; Algorithmic trading; Momentum (technical analysis); High-frequency trading; Alternative trading system; Technical analysis; Dual (grammatical number); Statistical arbitrage; Financial economics; Profit (economics); Exploit; Business; Econometrics; Computer science; Economics; Microeconomics; Capital asset pricing model; Finance; Computer security","score_opus":0.08495897200170327,"score_gpt":0.278702076171993,"score_spread":0.19374310417028973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385489135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95904034,0.0022324577,0.026625706,0.00023799192,0.000104170555,0.00016325168,0.000205128,0.00019582488,0.011195076],"genre_scores_gemma":[0.990248,0.00036535767,0.008089308,0.000040432133,0.000030672556,0.000042276813,0.00018322853,0.000025096817,0.00097568234],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984156,0.0005558402,0.0001754608,0.00022507708,0.00043447514,0.00019364184],"domain_scores_gemma":[0.993061,0.004597598,0.0006915121,0.00072956295,0.0005358825,0.00038447612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021316682,0.0008620342,0.0010588691,0.0018568671,0.0003070397,0.0019378482,0.0007732854,0.0011941281,0.0023810782],"category_scores_gemma":[0.011514395,0.00018886029,0.00058197876,0.0009946091,0.00057494396,0.0028725595,0.0008335944,0.0006276662,0.00050829654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01042906,0.002805691,0.083973944,0.0011524386,0.0010773519,0.00087092776,0.000489909,0.26723987,0.020722635,0.0413455,0.0043412233,0.56555146],"study_design_scores_gemma":[0.00056939013,0.005121309,0.024787992,0.00008561076,0.00038272588,0.00092957483,0.00050420396,0.92577916,0.015513546,0.022950659,0.0032632966,0.00011245855],"about_ca_topic_score_codex":0.00067211385,"about_ca_topic_score_gemma":0.00059412676,"teacher_disagreement_score":0.0023810782,"about_ca_system_score_codex":0.00042041426,"about_ca_system_score_gemma":0.00045893394,"threshold_uncertainty_score":0.011273503},"labels":[],"label_agreement":null},{"id":"W4385623434","doi":"10.1016/j.irfa.2023.102840","title":"Extreme downside risk in the cross-section of asset returns","year":2023,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Tinbergen Institute; University College London; Bank of Canada","keywords":"Downside risk; Extreme value theory; Economics; Tail risk; Financial crisis; Value at risk; Financial risk; Financial economics; Business; Monetary economics; Econometrics; Risk management; Finance; Mathematics; Statistics","score_opus":0.047908454204180946,"score_gpt":0.29016476402262986,"score_spread":0.24225630981844892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385623434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4835239,0.14161436,0.3392887,0.009517337,0.000762663,0.00006439367,0.0005897282,0.00029147317,0.024347447],"genre_scores_gemma":[0.9481852,0.03536212,0.008116981,0.00042633162,0.0019317284,0.000035885783,0.00032932637,0.0000616437,0.0055507356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860805,0.0005285634,0.00008034461,0.00033633452,0.00027817042,0.00016852224],"domain_scores_gemma":[0.9827989,0.0131697,0.0018404259,0.00089674874,0.00085770985,0.00043653706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061108232,0.00068407157,0.0011812014,0.0018064787,0.00038975078,0.0027962734,0.0010571016,0.0016634602,0.0027046762],"category_scores_gemma":[0.022044787,0.0006410143,0.0008511206,0.0019146112,0.0025167046,0.0060536847,0.0020184212,0.003621541,0.0004581742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015333822,0.00011071946,0.07852846,0.0005258221,0.00064020965,0.0015238125,0.0005541993,0.07849835,0.0020821902,0.73516387,0.0070108245,0.095208146],"study_design_scores_gemma":[0.00001581283,0.000108951615,0.06891844,0.00026958974,0.00015450202,0.0011982931,0.00021566397,0.09197442,0.0008216912,0.8275414,0.008693653,0.00008757106],"about_ca_topic_score_codex":0.0011792459,"about_ca_topic_score_gemma":0.0008773993,"teacher_disagreement_score":0.0061108232,"about_ca_system_score_codex":0.000817512,"about_ca_system_score_gemma":0.00041746142,"threshold_uncertainty_score":0.03231746},"labels":[],"label_agreement":null},{"id":"W4385642171","doi":"10.2139/ssrn.4531670","title":"Learning from DeFi: Would Automated Market Makers Improve Equity Trading?","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Market liquidity; Electronic trading; Equity (law); Business; Transaction cost; Alternative trading system; Dark liquidity; Trading strategy; Algorithmic trading; Financial market; Finance; High-frequency trading","score_opus":0.02605987311650458,"score_gpt":0.2398308897452766,"score_spread":0.21377101662877201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385642171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4709751,0.0015261846,0.4639018,0.008154476,0.0009609383,0.00026117248,0.0035604837,0.018651119,0.03200871],"genre_scores_gemma":[0.91513383,0.00016769348,0.079239696,0.0005732724,0.0001855948,0.000043990825,0.0013360035,0.00019900214,0.0031210417],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915075,0.00029597586,0.000050372426,0.00025294052,0.00016183885,0.00008807236],"domain_scores_gemma":[0.9933327,0.0040644077,0.0005059192,0.0010899084,0.0007364003,0.0002706737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002333278,0.0008073882,0.00080843864,0.00096027687,0.0003495257,0.0023217495,0.0012797328,0.001513547,0.01066223],"category_scores_gemma":[0.018812222,0.00027173795,0.0003821219,0.000717217,0.0003708551,0.006402207,0.0012441949,0.0017188371,0.0029731619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020866664,0.001104876,0.030805882,0.00021420592,0.00015522495,0.00022913405,0.0002989719,0.08303704,0.007824191,0.016483061,0.031433094,0.8263276],"study_design_scores_gemma":[0.00017318943,0.00030112648,0.003096351,0.000030879874,0.00004970438,0.00009873515,0.00023195009,0.8972672,0.008628575,0.083566785,0.006521603,0.000033980887],"about_ca_topic_score_codex":0.001178314,"about_ca_topic_score_gemma":0.0016357298,"teacher_disagreement_score":0.01066223,"about_ca_system_score_codex":0.00040896705,"about_ca_system_score_gemma":0.0008761387,"threshold_uncertainty_score":0.03566873},"labels":[],"label_agreement":null},{"id":"W4385697574","doi":"10.1093/rof/rfad025","title":"Do Anomalies Really Predict Market Returns? New Data and New Evidence","year":2023,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Predictability; Anomaly (physics); Economics; Risk premium; Equity (law); Econometrics; Financial economics; Aggregate (composite); Equity premium puzzle; Statistics","score_opus":0.16781945990640082,"score_gpt":0.28467802171177675,"score_spread":0.11685856180537593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385697574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91008526,0.029755324,0.020637598,0.015330921,0.0006048069,0.000060814786,0.008420255,0.00016547009,0.014939549],"genre_scores_gemma":[0.98669493,0.0060496964,0.002025467,0.00068101543,0.00056036224,0.000016350787,0.0034402707,0.000044995057,0.0004869426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742293,0.00094487827,0.0002980817,0.00040990263,0.0007947868,0.00012950937],"domain_scores_gemma":[0.9257669,0.05122437,0.01137434,0.005030029,0.005858466,0.0007458482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006435791,0.0005215776,0.000858667,0.0041545173,0.00027843498,0.0026908426,0.00086240977,0.00083678693,0.0031198764],"category_scores_gemma":[0.037759956,0.00021511078,0.0006942158,0.0046930523,0.0013142275,0.0036130475,0.0014552909,0.0024517379,0.00077410456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036388502,0.00021198753,0.833763,0.0008460544,0.0017799403,0.0006372017,0.00074104406,0.0149590345,0.0007540423,0.02139658,0.016855942,0.10769129],"study_design_scores_gemma":[0.00013619314,0.00030400982,0.7896355,0.0015660096,0.0012270224,0.0005413466,0.00241583,0.060914986,0.0022866044,0.07525757,0.065521896,0.00019313135],"about_ca_topic_score_codex":0.004722751,"about_ca_topic_score_gemma":0.0036810648,"teacher_disagreement_score":0.006435791,"about_ca_system_score_codex":0.00050109474,"about_ca_system_score_gemma":0.0004831209,"threshold_uncertainty_score":0.03403616},"labels":[],"label_agreement":null},{"id":"W4385727765","doi":"10.5539/ijef.v15n9p77","title":"Liquidation Risk: Evidence on Non-Linearities in Uncovered Interest Parity","year":2023,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Market liquidity; Liquidity premium; Interest rate; Monetary economics; Interest rate parity; Shock (circulatory); Ex-ante; Risk premium; Parity (physics); Econometrics; Financial economics; Liquidity risk; Macroeconomics","score_opus":0.07087049425811293,"score_gpt":0.2662602291300432,"score_spread":0.1953897348719303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385727765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99737775,0.00008063087,0.00095087016,0.00011836461,0.0000024050266,0.000003919482,0.00017826325,0.0000136040335,0.0012741631],"genre_scores_gemma":[0.9995752,0.000035376943,0.0001056655,0.00001356224,0.000005903246,0.0000018223857,0.00014372564,0.0000023610337,0.00011634961],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989366,0.0002786704,0.00015701469,0.00019646106,0.00026145304,0.00016967316],"domain_scores_gemma":[0.9363347,0.029465254,0.02686407,0.0044492073,0.0016567165,0.0012300833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019940995,0.00026117463,0.0004216436,0.00080088683,0.00026042495,0.0017596688,0.0006519588,0.0007061367,0.003814878],"category_scores_gemma":[0.02558551,0.00029857582,0.00036769838,0.0010975641,0.0014094984,0.0020475949,0.0014779683,0.0009767504,0.0006348917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014641762,0.0002213892,0.95786476,0.00007264215,0.00015129789,0.0008253486,0.00053317286,0.0034946012,0.004807332,0.008469078,0.00041035106,0.021685923],"study_design_scores_gemma":[0.00010440547,0.00044979135,0.9655046,0.000035205125,0.00009717943,0.0008210705,0.00060509477,0.01581331,0.0045905127,0.011188267,0.0007477005,0.000042990072],"about_ca_topic_score_codex":0.001422401,"about_ca_topic_score_gemma":0.0007023344,"teacher_disagreement_score":0.003814878,"about_ca_system_score_codex":0.00025792475,"about_ca_system_score_gemma":0.00023502734,"threshold_uncertainty_score":0.01276201},"labels":[],"label_agreement":null},{"id":"W4385732876","doi":"10.3390/jrfm16080367","title":"Multicriteria Portfolio Choice and Downside Risk","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Downside risk; Portfolio; Economics; Stock exchange; Econometrics; Stock market; Financial economics; Systematic risk; Market risk; Capital market; Portfolio insurance; Portfolio optimization; Replicating portfolio; Finance","score_opus":0.01605570072624868,"score_gpt":0.2137984730844442,"score_spread":0.1977427723581955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385732876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52097005,0.0014013442,0.47189215,0.00048285825,0.00004938874,0.00009695526,0.00007399548,0.000056704826,0.0049766637],"genre_scores_gemma":[0.96907896,0.00044796927,0.02824717,0.00004798711,0.00005030867,0.000044371973,0.00006308617,0.000011184082,0.002009109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979284,0.0011157496,0.00010421856,0.00029004263,0.0004109615,0.00015059947],"domain_scores_gemma":[0.99135256,0.005665704,0.001462549,0.00059903366,0.00060967996,0.00031041497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064317947,0.00073844404,0.00083748816,0.0011622073,0.00030312798,0.0014639399,0.00083912845,0.00086715847,0.0016419237],"category_scores_gemma":[0.014553159,0.00032082025,0.0009224789,0.00071812456,0.0010469626,0.0024808804,0.0010329044,0.00083820976,0.00013493936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035335615,0.00021550518,0.037255183,0.0001837127,0.00044269953,0.00064271723,0.00023817674,0.4761882,0.0027014955,0.4198177,0.00067881396,0.06128246],"study_design_scores_gemma":[0.00003566756,0.00022921663,0.009128001,0.000027283573,0.000038936938,0.000281542,0.000042004376,0.83123887,0.00077239017,0.1574888,0.0006835826,0.00003371929],"about_ca_topic_score_codex":0.00047996678,"about_ca_topic_score_gemma":0.0004170718,"teacher_disagreement_score":0.0064317947,"about_ca_system_score_codex":0.00076327194,"about_ca_system_score_gemma":0.00047302555,"threshold_uncertainty_score":0.03401494},"labels":[],"label_agreement":null},{"id":"W4385735761","doi":"10.1016/j.najef.2023.101985","title":"Corrigendum to “Can monthly-return rank order reveal a hidden dimension of momentum? The post-cost evidence from the U.S. stock markets” [North Am. J. Econ. Fin. 65 (2023) 101884]","year":2023,"lang":"en","type":"erratum","venue":"The North American Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Stock (firearms); Economics; Financial economics; Dimension (graph theory); Momentum (technical analysis); Order (exchange); Econometrics; Monetary economics; Mathematics; Finance; Engineering; Combinatorics; Mechanical engineering","score_opus":0.02706466894954677,"score_gpt":0.213731299605362,"score_spread":0.18666663065581524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385735761","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013313594,0.0022296906,0.00062543026,0.15180343,0.81997746,0.00007601101,0.0047891224,0.0009013637,0.01946449],"genre_scores_gemma":[0.0052575995,0.006339393,0.0018864465,0.18852781,0.22528054,0.00033113817,0.005855369,0.0010518268,0.5654698],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99587965,0.0005447597,0.00055147684,0.0005759562,0.0020460514,0.00040202474],"domain_scores_gemma":[0.96762663,0.005927114,0.0010140827,0.001672753,0.02281981,0.0009396359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035160647,0.0023542685,0.0027138405,0.003951839,0.0047239526,0.004842387,0.004238867,0.008899549,0.14133734],"category_scores_gemma":[0.04531225,0.0013793651,0.0028663108,0.0033430564,0.0021068617,0.002788075,0.0024050167,0.008181438,0.11468101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044345134,0.0000028250295,0.000019810717,0.000012982785,0.0000020376858,0.000020060532,0.00000279705,0.000012781029,0.0000068951704,0.00020564644,0.9987716,0.00093819806],"study_design_scores_gemma":[0.000043065425,0.000021372898,0.0015776169,0.00022637284,0.000030964304,0.00008890448,0.000050091825,0.00034621274,0.0001488353,0.0030604962,0.99434423,0.00006191268],"about_ca_topic_score_codex":0.105442196,"about_ca_topic_score_gemma":0.1531805,"teacher_disagreement_score":0.14133734,"about_ca_system_score_codex":0.0063885935,"about_ca_system_score_gemma":0.00655785,"threshold_uncertainty_score":0.47282046},"labels":[],"label_agreement":null},{"id":"W4385800017","doi":"10.1007/s11518-023-5573-9","title":"Quasi-variable Discount Rates and Market Volatility: An Empirical Study","year":2023,"lang":"en","type":"article","venue":"Journal of Systems Science and Systems Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Public Health","funders":"","keywords":"Economics; Econometrics; Volatility (finance); Stock market; Stochastic discount factor; Monte Carlo method; Rational expectations; Interest rate; Capital asset pricing model; Dividend; Financial economics; Mathematics; Monetary economics; Statistics","score_opus":0.0413099912521682,"score_gpt":0.2610586795966458,"score_spread":0.2197486883444776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385800017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99463105,0.0014846786,0.0021824776,0.00024762418,0.000014892204,0.00001793503,0.00012155956,0.000009353297,0.0012903521],"genre_scores_gemma":[0.99810815,0.0006689037,0.00040653034,0.000026331209,0.0000351718,0.0000072505422,0.00015378198,0.0000078966505,0.0005860316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948007,0.0002617238,0.000042843356,0.00007272626,0.00007008585,0.00007258041],"domain_scores_gemma":[0.8868458,0.099454895,0.008625452,0.0025963318,0.0010878354,0.0013895679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046084803,0.00036586562,0.00061879656,0.00092117157,0.00048909336,0.0024546538,0.0010958444,0.0010120368,0.007411747],"category_scores_gemma":[0.03879919,0.00041789562,0.0008886416,0.0014311029,0.001121202,0.0027664802,0.0006751151,0.0023558382,0.0006102927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038928764,0.0028147215,0.83168554,0.00038509662,0.00079073315,0.001193409,0.0028404254,0.015248745,0.0013871666,0.08559151,0.0020544697,0.052115377],"study_design_scores_gemma":[0.0005539894,0.0015420783,0.7536021,0.00025230533,0.0013380016,0.0018718999,0.0056485906,0.15552391,0.0011017767,0.073061794,0.005359558,0.00014401117],"about_ca_topic_score_codex":0.0049894066,"about_ca_topic_score_gemma":0.0020281747,"teacher_disagreement_score":0.007411747,"about_ca_system_score_codex":0.0006454192,"about_ca_system_score_gemma":0.0004962712,"threshold_uncertainty_score":0.024794757},"labels":[],"label_agreement":null},{"id":"W4385879104","doi":"10.3390/jrfm16080376","title":"Aggregate News Sentiment and Stock Market Returns in India","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Sentiment analysis; Stock (firearms); Aggregate (composite); Financial economics; Autoregressive conditional heteroskedasticity; Econometrics; Market sentiment; Economics; Computer science; Volatility (finance); Artificial intelligence; History","score_opus":0.013637919644468775,"score_gpt":0.20579500275473328,"score_spread":0.1921570831102645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385879104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997165,0.00010209491,0.00009308276,0.00010137491,0.0000059088256,0.0000018240733,0.00032611412,0.000012571951,0.0021919673],"genre_scores_gemma":[0.9993912,0.00009347991,0.000028723585,0.000010060346,0.000013046995,7.9285667e-7,0.00020933246,0.0000021454712,0.0002511994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979764,0.000038505135,0.000019311512,0.000028698214,0.000064298634,0.000051598046],"domain_scores_gemma":[0.99755764,0.0006878228,0.0011580971,0.00014097725,0.00028985692,0.00016559173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029855815,0.00016021213,0.00020812567,0.0012465002,0.00023887878,0.0011764102,0.00014278758,0.00016340222,0.0011157389],"category_scores_gemma":[0.0023317635,0.00014112187,0.00020735554,0.0020045522,0.00030200643,0.00047741042,0.0005691566,0.00046071573,0.00033402344],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018862056,0.000048852482,0.9846956,0.000037437963,0.000091774426,0.00046391203,0.0009558205,0.0011909129,0.0012196682,0.0006969493,0.0008644829,0.009545917],"study_design_scores_gemma":[0.0000016072073,0.000020182588,0.9977496,0.000004794132,0.000019630801,0.00012363699,0.00042946098,0.000962041,0.0001482641,0.00012271616,0.00041106428,0.000006939167],"about_ca_topic_score_codex":0.014425945,"about_ca_topic_score_gemma":0.015175473,"teacher_disagreement_score":0.014425945,"about_ca_system_score_codex":0.00041879946,"about_ca_system_score_gemma":0.00024454924,"threshold_uncertainty_score":0.0286839},"labels":[],"label_agreement":null},{"id":"W4385879610","doi":"10.1016/j.econlet.2023.111311","title":"All topics are not created equal: Sentiment and hype of business media topics and the bitcoin market","year":2023,"lang":"en","type":"article","venue":"Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Volatility (finance); Cryptocurrency; Sentiment analysis; Economics; Equity (law); Financial economics; Monetary economics; Business; Econometrics; Computer science; Political science; Law; World Wide Web; Artificial intelligence","score_opus":0.03317135542937422,"score_gpt":0.19651023325162162,"score_spread":0.1633388778222474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385879610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80331314,0.001910104,0.00046576417,0.07622962,0.00044185668,0.000008863421,0.00027260423,0.000022238544,0.11733583],"genre_scores_gemma":[0.99492824,0.0005915723,0.00004773635,0.001177202,0.0004605619,0.0000042827596,0.00005146342,0.000021148158,0.0027178505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994899,0.00021993482,0.000016598882,0.00004193528,0.00012803872,0.00010360817],"domain_scores_gemma":[0.98682654,0.0075106053,0.0028341159,0.00020985323,0.0010972494,0.0015216107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013018015,0.000118908785,0.00015844272,0.001011885,0.0016917605,0.00672461,0.0002741675,0.0012553625,0.0100192735],"category_scores_gemma":[0.014535005,0.00012161296,0.00010877133,0.0020090481,0.002278629,0.005737464,0.0012590477,0.0019935123,0.0007277012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029010396,0.00078302366,0.31915304,0.00038838433,0.0002079854,0.0014983986,0.059569035,0.001052485,0.003978812,0.281719,0.14807962,0.18066917],"study_design_scores_gemma":[0.000101533515,0.00018975526,0.7041002,0.00039642456,0.00011914748,0.0003737057,0.09000293,0.0045341006,0.0012920424,0.10568983,0.09307382,0.00012654453],"about_ca_topic_score_codex":0.008021542,"about_ca_topic_score_gemma":0.010414696,"teacher_disagreement_score":0.0100192735,"about_ca_system_score_codex":0.0011414661,"about_ca_system_score_gemma":0.0006375776,"threshold_uncertainty_score":0.033517778},"labels":[],"label_agreement":null},{"id":"W4385988930","doi":"10.1016/j.jedc.2023.104725","title":"Machine learning goes global: Cross-sectional return predictability in international stock markets","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Narodowym Centrum Nauki; Narodowe Centrum Nauki","keywords":"Predictability; Economics; Robustness (evolution); Econometrics; Stock (firearms); Limiting; Arbitrage; Financial economics; Computer science; Mathematics; Engineering; Statistics","score_opus":0.014112120272542623,"score_gpt":0.2419340983346419,"score_spread":0.22782197806209928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385988930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95126307,0.0023759494,0.03606037,0.0057658562,0.00013845599,0.0000069266553,0.0002308816,0.00021773628,0.0039407285],"genre_scores_gemma":[0.9981267,0.00037019348,0.0007125398,0.00010215684,0.00010965182,0.0000015881105,0.00007585392,0.000021828953,0.00047940898],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998368,0.000058072583,0.000010218075,0.000042181833,0.000024101668,0.000028584423],"domain_scores_gemma":[0.9920649,0.0059886784,0.0008900858,0.00047903328,0.00034399223,0.00023328968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019395328,0.00038105846,0.0005085381,0.00079583493,0.0003291461,0.0019464996,0.0004463647,0.0007328133,0.0017587385],"category_scores_gemma":[0.016983861,0.000381051,0.00038849955,0.0009673416,0.0010465572,0.0035616613,0.0008166295,0.0017447583,0.00018692472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003806124,0.00016999528,0.42121702,0.00014453534,0.0005787529,0.0008814166,0.0008200884,0.27921963,0.0026128949,0.123456396,0.0119015165,0.1586171],"study_design_scores_gemma":[0.000017741455,0.000050662507,0.114797436,0.00004522285,0.0000972715,0.00012591433,0.00020016228,0.72921956,0.00045723977,0.1539899,0.0009645551,0.000034406945],"about_ca_topic_score_codex":0.0031547004,"about_ca_topic_score_gemma":0.003080753,"teacher_disagreement_score":0.0031547004,"about_ca_system_score_codex":0.00033958477,"about_ca_system_score_gemma":0.0002700707,"threshold_uncertainty_score":0.010257363},"labels":[],"label_agreement":null},{"id":"W4386024753","doi":"10.1016/j.ejor.2023.08.028","title":"Across-time risk-aware strategies for outperforming a benchmark","year":2023,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stylized fact; Benchmark (surveying); Investment strategy; Time horizon; Computer science; Portfolio; Mathematical optimization; Asset allocation; Dynamic programming; Econometrics; Economics; Mathematics; Finance; Market liquidity","score_opus":0.13483838482783475,"score_gpt":0.35300099697027537,"score_spread":0.21816261214244062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386024753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.829678,0.0017375202,0.15526454,0.0007608816,0.00035691998,0.00014587832,0.00016066461,0.0011389954,0.010756671],"genre_scores_gemma":[0.98933476,0.00010337274,0.009441827,0.00004913467,0.000029318031,0.000021042584,0.00005746107,0.000025877538,0.00093717146],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988219,0.0002564801,0.00009880657,0.00029128016,0.00029048097,0.00024095546],"domain_scores_gemma":[0.9962514,0.0018244194,0.00042201695,0.000572335,0.00054345065,0.0003864103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002111364,0.0012296641,0.0008895293,0.0009204705,0.0003372533,0.0018101619,0.0011563038,0.0012829675,0.0023916091],"category_scores_gemma":[0.01182242,0.00019476058,0.00037495125,0.000509157,0.00036858016,0.0021839277,0.00108936,0.0011685153,0.0005227966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032839421,0.0017865214,0.014085619,0.00018544869,0.00042372724,0.00040380523,0.00022139323,0.4357312,0.028371487,0.02216756,0.004269111,0.48907018],"study_design_scores_gemma":[0.00008128913,0.0016334337,0.0036349203,0.000029930277,0.00012965314,0.00013663899,0.00009352512,0.9722072,0.006682127,0.014221962,0.0011077079,0.000041564577],"about_ca_topic_score_codex":0.001263495,"about_ca_topic_score_gemma":0.001348713,"teacher_disagreement_score":0.0023916091,"about_ca_system_score_codex":0.0005290474,"about_ca_system_score_gemma":0.0012719647,"threshold_uncertainty_score":0.011166096},"labels":[],"label_agreement":null},{"id":"W4386034769","doi":"10.1016/j.iref.2023.08.014","title":"Asset pricing tests for pandemic risk","year":2023,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Proxy (statistics); Pandemic; Econometrics; Coronavirus disease 2019 (COVID-19); Capital asset pricing model; Portfolio; Stock (firearms); Economics; Actuarial science; Financial economics; Statistics; Mathematics; Geography; Medicine","score_opus":0.06254342814651334,"score_gpt":0.2933139318027804,"score_spread":0.23077050365626708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386034769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93673164,0.0011651537,0.052983876,0.0009653764,0.00013707521,0.000082725724,0.00048294532,0.00017739933,0.0072737606],"genre_scores_gemma":[0.996601,0.00014707047,0.002266734,0.00004142376,0.000078924044,0.00002519513,0.00030143769,0.000013860303,0.000524447],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99620336,0.0023304177,0.0002026657,0.00037627682,0.00059642503,0.00029082893],"domain_scores_gemma":[0.8921118,0.09290991,0.007732402,0.0031686416,0.0026280363,0.0014492469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008023747,0.00063202094,0.0008951686,0.00206336,0.00031841607,0.0015760768,0.0011991303,0.0011354446,0.0068865423],"category_scores_gemma":[0.09899124,0.00021813034,0.00093755574,0.0016328573,0.0010788646,0.0032793214,0.0011605617,0.0020372663,0.0004844728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009431091,0.0007111938,0.5825294,0.00026926995,0.0013891193,0.001428293,0.0007891854,0.0932048,0.0023240163,0.1625572,0.005294812,0.14855959],"study_design_scores_gemma":[0.00013147746,0.0011794469,0.19138175,0.00013872757,0.0002456038,0.0009726439,0.0007496788,0.64521277,0.0017500279,0.15533367,0.0027935188,0.00011073381],"about_ca_topic_score_codex":0.000912922,"about_ca_topic_score_gemma":0.000301729,"teacher_disagreement_score":0.008023747,"about_ca_system_score_codex":0.0004912674,"about_ca_system_score_gemma":0.00062934734,"threshold_uncertainty_score":0.042434156},"labels":[],"label_agreement":null},{"id":"W4386095978","doi":"10.5539/ibr.v16n9p1","title":"Modernizing the Stock Pricing Mechanism: An Effective Path to Improve the Stock Market Efficiency","year":2023,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Valuation (finance); Stock market; Economics; Shareholder; Restricted stock; Stock market bubble; Market maker; Financial economics; Business; Econometrics; Microeconomics; Finance","score_opus":0.07394688847665362,"score_gpt":0.3223021746949,"score_spread":0.2483552862182464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386095978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70895404,0.00053856784,0.27949005,0.0014812939,0.000050287894,0.00030942186,0.000054876473,0.0006140943,0.008507341],"genre_scores_gemma":[0.94095427,0.00014698217,0.057830784,0.0002011554,0.000036862315,0.00008919162,0.000032910357,0.000026128604,0.0006816464],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99602014,0.002017435,0.00021745243,0.0005869385,0.0009121476,0.0002459903],"domain_scores_gemma":[0.99185705,0.0029506031,0.0016911861,0.0025399372,0.00076090597,0.00020037779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070504304,0.00059309026,0.00070932484,0.0005818958,0.00032713864,0.0017175742,0.0011684591,0.0010375234,0.0017924068],"category_scores_gemma":[0.014845123,0.00029195845,0.0005200003,0.0003478787,0.0007754678,0.002993297,0.0014818778,0.0011603124,0.0002915318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010693222,0.0034482079,0.058718413,0.0006173017,0.0004707304,0.00034728486,0.0016752778,0.18355176,0.12808913,0.09411938,0.0022330189,0.52566016],"study_design_scores_gemma":[0.0006852295,0.00456816,0.043695427,0.00016845942,0.00038153975,0.00033414215,0.00068999163,0.79423964,0.06615673,0.07198338,0.016855728,0.00024160216],"about_ca_topic_score_codex":0.00058093935,"about_ca_topic_score_gemma":0.00046326462,"teacher_disagreement_score":0.0070504304,"about_ca_system_score_codex":0.000636563,"about_ca_system_score_gemma":0.0012419836,"threshold_uncertainty_score":0.03728664},"labels":[],"label_agreement":null},{"id":"W4386170426","doi":"10.1016/j.intfin.2023.101826","title":"The impact of foreign ownership on the media’s role in curbing insider trading around private meetings","year":2023,"lang":"en","type":"article","venue":"Journal of International Financial Markets Institutions and Money","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada; National Natural Science Foundation of China","keywords":"Insider; Insider trading; Profitability index; Business; Foreign direct investment; Corporate governance; Foreign portfolio investment; Portfolio; Investment (military); Private information retrieval; Foreign ownership; Monetary economics; Financial system; Finance; Economics; Return on investment; Open-ended investment company; Political science; Law; Microeconomics","score_opus":0.05161655645779569,"score_gpt":0.26421129887355677,"score_spread":0.21259474241576107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386170426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95745,0.001252756,0.0009147134,0.001782491,0.000057627647,0.000020959935,0.00024780558,0.000019701702,0.038254023],"genre_scores_gemma":[0.99839133,0.00026394665,0.00014860387,0.00009977914,0.00006302553,0.000005522035,0.00005487395,0.000005906418,0.00096688786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983601,0.0008021489,0.00010314058,0.00014415263,0.00030145183,0.0002888905],"domain_scores_gemma":[0.940918,0.034731716,0.018193914,0.0021831132,0.0018257963,0.0021474354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024411064,0.00021580554,0.00021022356,0.0010680768,0.0005715115,0.003948033,0.0003300687,0.00054202246,0.0069309706],"category_scores_gemma":[0.026550155,0.00010525298,0.00019649377,0.00091120665,0.0011104811,0.0024662884,0.0011697521,0.0007906842,0.00061954424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047972417,0.00032601104,0.8915674,0.00031106055,0.00021717844,0.0006970958,0.006295812,0.00097571657,0.0030029076,0.010558634,0.0024468813,0.083121605],"study_design_scores_gemma":[0.000025172913,0.00021117502,0.96591574,0.0002971665,0.00016294859,0.00042766638,0.01208138,0.0015309151,0.0025460296,0.0027816736,0.013989829,0.000030390576],"about_ca_topic_score_codex":0.0033419668,"about_ca_topic_score_gemma":0.004813835,"teacher_disagreement_score":0.0069309706,"about_ca_system_score_codex":0.00059798616,"about_ca_system_score_gemma":0.00060993625,"threshold_uncertainty_score":0.023186445},"labels":[],"label_agreement":null},{"id":"W4386171905","doi":"10.1016/j.jcorpfin.2023.102471","title":"Earnings announcements in China: Overnight-intraday disparity","year":2023,"lang":"en","type":"article","venue":"Journal of Corporate Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Predictability; Earnings; Monetary economics; Stock (firearms); Post-earnings-announcement drift; Economics; Abnormal return; Financial economics; Econometrics; Business; Earnings response coefficient; Stock exchange; Finance; Mathematics","score_opus":0.04104844163711162,"score_gpt":0.22172802065013392,"score_spread":0.18067957901302228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386171905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99864155,0.00013482345,0.00004803928,0.000210812,0.000008474586,0.0000031724076,0.00020353988,0.0000041463845,0.00074545015],"genre_scores_gemma":[0.9994814,0.0000521153,0.000010519155,0.000015127833,0.000018797093,7.963149e-7,0.0001887546,9.663413e-7,0.00023166496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996269,0.000036484205,0.00003499001,0.000071200404,0.00009060109,0.00013981704],"domain_scores_gemma":[0.9969025,0.000576429,0.0014822987,0.00011049045,0.0005125189,0.0004156272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008125714,0.00022703687,0.00028037452,0.0012863256,0.00049921876,0.0010771069,0.0004321581,0.0005256943,0.0019835785],"category_scores_gemma":[0.0024666414,0.00018626999,0.00027219197,0.0018716948,0.0003643498,0.0008985008,0.0008380461,0.00049205194,0.00020613238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001566133,0.00006432915,0.9903701,0.000017265778,0.000043731918,0.00044522574,0.00054828706,0.00053835724,0.0005871974,0.0006885789,0.0010378676,0.005502451],"study_design_scores_gemma":[0.0000062373324,0.000023616843,0.9969717,0.0000029045457,0.00001897455,0.00004914846,0.00046604485,0.0018735561,0.00009895159,0.00013914464,0.00033977538,0.000009893144],"about_ca_topic_score_codex":0.04015708,"about_ca_topic_score_gemma":0.042971697,"teacher_disagreement_score":0.04015708,"about_ca_system_score_codex":0.0010125166,"about_ca_system_score_gemma":0.00088134495,"threshold_uncertainty_score":0.07984668},"labels":[],"label_agreement":null},{"id":"W4386195618","doi":"10.31235/osf.io/4b2y8","title":"You have a point - but a point is not enough: The case for distributional forecasts of earnings","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Decile; Ex-ante; Econometrics; Point (geometry); Economics; Point estimation; Quarter (Canadian coin); Basis point; Earnings response coefficient; Actuarial science; Financial economics; Finance; Statistics; Interest rate; Mathematics; Geography","score_opus":0.08403313036385121,"score_gpt":0.2554243253896899,"score_spread":0.1713911950258387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386195618","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19135478,0.010761654,0.4731539,0.28035384,0.0024172924,0.00007550873,0.0018894656,0.0007992638,0.039194215],"genre_scores_gemma":[0.94535005,0.0020386137,0.04169586,0.0064077675,0.0016526968,0.00005716507,0.00036697008,0.00019569376,0.0022353437],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99206746,0.0035570979,0.00037117593,0.0020676623,0.001520958,0.00041559187],"domain_scores_gemma":[0.8553281,0.10747752,0.012517903,0.015169171,0.0069779274,0.0025293406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022071026,0.0005661826,0.0012140406,0.0016492562,0.0021387585,0.0067111095,0.002127284,0.004968396,0.004290937],"category_scores_gemma":[0.18806398,0.0008971201,0.00083161576,0.002017243,0.005699516,0.018809821,0.002182026,0.009593459,0.0014529943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083222176,0.000083221545,0.06335698,0.00030244287,0.00036695297,0.0017135161,0.0041898093,0.032260202,0.001003107,0.67835224,0.046559688,0.17097957],"study_design_scores_gemma":[0.000034368815,0.000035381054,0.0072678127,0.0002010389,0.00003774726,0.00048389027,0.000795365,0.055412058,0.00041898745,0.92329025,0.0119279735,0.00009522814],"about_ca_topic_score_codex":0.0053786435,"about_ca_topic_score_gemma":0.0044316966,"teacher_disagreement_score":0.022071026,"about_ca_system_score_codex":0.0016906437,"about_ca_system_score_gemma":0.00083821104,"threshold_uncertainty_score":0.116724074},"labels":[],"label_agreement":null},{"id":"W4386222103","doi":"10.1287/mnsc.2023.4900","title":"The Impact of Derivatives on Spot Markets: Evidence from the Introduction of Bitcoin Futures Contracts","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Global Risk Institute in Financial Services; Toronto Metropolitan University; McGill University","funders":"","keywords":"Futures contract; Arbitrage; Economics; Forward market; Financial economics; Price discovery; Spot contract; Spot market; Market liquidity; Algorithmic trading; Derivatives market; Business; Finance","score_opus":0.03782906845917728,"score_gpt":0.2642289247598103,"score_spread":0.22639985630063303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386222103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877331,0.0012316068,0.00036133558,0.00070329773,0.000022707976,0.000015085816,0.00021631549,0.000014579944,0.009701822],"genre_scores_gemma":[0.9978492,0.00071692566,0.00012657906,0.00012041294,0.00004879257,0.0000043537184,0.00019078048,0.000009574249,0.00093337335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983815,0.00053134514,0.00012711194,0.00017771187,0.00059320853,0.00018911486],"domain_scores_gemma":[0.96223813,0.017058834,0.013501213,0.0023574505,0.0029570733,0.0018873645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032592013,0.00026793996,0.0004203079,0.00093197514,0.0008834642,0.002559513,0.00056336995,0.0014868892,0.0045561222],"category_scores_gemma":[0.019537434,0.00019876708,0.00028896134,0.001223009,0.0018651844,0.003176564,0.0017652644,0.0020522156,0.0006863582],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01130193,0.003721526,0.68850213,0.0012737683,0.0008010597,0.0077068945,0.0075081447,0.010382863,0.016139803,0.055437844,0.015461325,0.18176274],"study_design_scores_gemma":[0.0009099839,0.003775822,0.8682516,0.0006229438,0.0006833431,0.0029374096,0.007215824,0.020507723,0.021964353,0.025730418,0.04711037,0.00029017107],"about_ca_topic_score_codex":0.0033550714,"about_ca_topic_score_gemma":0.0024981783,"teacher_disagreement_score":0.0045561222,"about_ca_system_score_codex":0.00062242034,"about_ca_system_score_gemma":0.00051134685,"threshold_uncertainty_score":0.017236471},"labels":[],"label_agreement":null},{"id":"W4386228980","doi":"10.4236/jmf.2023.133025","title":"Equity Value and Volatility","year":2023,"lang":"en","type":"article","venue":"Journal of Mathematical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Volatility (finance); Econometrics; Valuation (finance); Financial economics; Residual income valuation; Stock (firearms); Equity risk; Finance","score_opus":0.06497850552386292,"score_gpt":0.27742980391879835,"score_spread":0.21245129839493543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386228980","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20531265,0.04846567,0.104256354,0.018499488,0.0031772417,0.0003070766,0.009127072,0.00057027064,0.61028415],"genre_scores_gemma":[0.950934,0.008571674,0.0047833608,0.0011950411,0.0016602501,0.00016216766,0.0018819291,0.00010165581,0.030709974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99732924,0.00039541663,0.00024785608,0.0005516929,0.0012557016,0.00022006927],"domain_scores_gemma":[0.9957112,0.0015958002,0.0013035962,0.00039556198,0.0007628639,0.0002310492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00183901,0.00064040424,0.0006639197,0.003148714,0.0005227465,0.0050387112,0.00068353815,0.0013586456,0.014659197],"category_scores_gemma":[0.015272598,0.00019979962,0.0005186393,0.0037265986,0.0023279751,0.00570834,0.0017380335,0.0014490996,0.0021794704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093019196,0.00005674454,0.02796232,0.0002445341,0.00014386418,0.00027777266,0.0004813085,0.0053378292,0.00064625044,0.84887904,0.017094254,0.09878304],"study_design_scores_gemma":[0.000021687752,0.00010451892,0.034502145,0.00032800462,0.00006972341,0.001047388,0.0005235189,0.008644759,0.0007651746,0.83304656,0.12085077,0.000095862844],"about_ca_topic_score_codex":0.002142356,"about_ca_topic_score_gemma":0.0011141468,"teacher_disagreement_score":0.014659197,"about_ca_system_score_codex":0.002501078,"about_ca_system_score_gemma":0.0008002964,"threshold_uncertainty_score":0.0490399},"labels":[],"label_agreement":null},{"id":"W4386257823","doi":"10.1016/j.frl.2023.104353","title":"Asset pricing with dividend surprises","year":2023,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; Carleton University","funders":"","keywords":"Dividend yield; Dividend; Surprise; Financial economics; Capital asset pricing model; Economics; Econometrics; Portfolio; Dividend payout ratio; Dividend policy; Monetary economics; Finance","score_opus":0.11466524686508878,"score_gpt":0.3019412233342922,"score_spread":0.1872759764692034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386257823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6079998,0.0041265017,0.33749035,0.012028984,0.001290126,0.000043075946,0.00026189547,0.0005472895,0.036211975],"genre_scores_gemma":[0.9859351,0.0008341392,0.0030829308,0.00014458635,0.00059217674,0.000010992717,0.000068395384,0.000042415533,0.009289335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993248,0.0002603824,0.000044952198,0.00010788594,0.00015957652,0.000102397156],"domain_scores_gemma":[0.99061126,0.006686029,0.00095027906,0.00056932715,0.0006186898,0.0005643987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003172105,0.0008433833,0.0012706122,0.0007905908,0.0004019856,0.0036269566,0.0011450491,0.0027246017,0.0043100403],"category_scores_gemma":[0.03361267,0.00070028286,0.0008263966,0.0008636975,0.0014498471,0.006055719,0.0012074991,0.0029813985,0.0004865273],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003045259,0.00013992978,0.0072448472,0.00016718773,0.00011575477,0.002614331,0.00030554962,0.18696304,0.002464706,0.7674192,0.006064489,0.026196357],"study_design_scores_gemma":[0.000032261396,0.000044298715,0.0018578445,0.000013624192,0.000024591298,0.0003533776,0.00004990171,0.5953404,0.00032666774,0.40125656,0.00067457126,0.000025991629],"about_ca_topic_score_codex":0.0013805486,"about_ca_topic_score_gemma":0.00071780774,"teacher_disagreement_score":0.0043100403,"about_ca_system_score_codex":0.00090618106,"about_ca_system_score_gemma":0.0004817069,"threshold_uncertainty_score":0.016775846},"labels":[],"label_agreement":null},{"id":"W4386277626","doi":"10.33423/jabe.v25i3.6335","title":"The Quality of Your Network Matters: Professional Connections and Mutual Fund Performance","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Business; Portfolio; Sample (material); Closed-end fund; Open-end fund; Manager of managers fund; Finance; Quality (philosophy); Fund administration; Fund of funds; Target date fund; Large sample; Actuarial science; Institutional investor; Corporate governance","score_opus":0.06580762384686606,"score_gpt":0.25368633255483974,"score_spread":0.18787870870797369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386277626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970606,0.00012953792,0.00010532281,0.00035990874,0.0000053730028,0.0000027990757,0.00003517626,0.0000021496653,0.0022991074],"genre_scores_gemma":[0.9995466,0.000050301107,0.000031685868,0.000014247508,0.0000131057195,0.0000012641668,0.000026263271,7.569281e-7,0.00031572618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993799,0.0002397881,0.000036562884,0.0000624578,0.00012886469,0.00015237644],"domain_scores_gemma":[0.97351664,0.009128845,0.011981705,0.0005453872,0.0007912878,0.0040362007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001494683,0.00016320523,0.00015989454,0.0007775871,0.000465621,0.0018581359,0.00032961808,0.00068208156,0.004178129],"category_scores_gemma":[0.017917562,0.00007269957,0.00012122162,0.0007502875,0.0006442702,0.0015034354,0.0012235087,0.0005435181,0.00041855106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026681917,0.0002862088,0.9761904,0.000023822942,0.000086975066,0.00009796595,0.0009013525,0.00065760413,0.00033830552,0.0015280658,0.0005733013,0.019049237],"study_design_scores_gemma":[0.000018383302,0.0002493827,0.99048245,0.000034857512,0.0001019808,0.00014287845,0.0024275915,0.0026238437,0.00043848995,0.002162546,0.0013042535,0.000013293391],"about_ca_topic_score_codex":0.0038158877,"about_ca_topic_score_gemma":0.0057127364,"teacher_disagreement_score":0.004178129,"about_ca_system_score_codex":0.00055742776,"about_ca_system_score_gemma":0.00036096133,"threshold_uncertainty_score":0.01397723},"labels":[],"label_agreement":null},{"id":"W4386282629","doi":"10.3390/jrfm16090388","title":"Proposing Credit- and Sensitivity-Risk-Based Methodology to Address Corporate Bond Illiquidity Problem","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bond; Market liquidity; Fungibility; Corporate bond; Credit risk; Bond market; Economics; Liquidity risk; Monetary economics; Business; Financial economics; Actuarial science; Finance","score_opus":0.06471271836427754,"score_gpt":0.24977643608431313,"score_spread":0.1850637177200356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386282629","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009641426,0.00032067267,0.98827446,0.000286118,0.00003363614,0.00005275955,0.00002854624,0.000045597364,0.0013168586],"genre_scores_gemma":[0.5958193,0.0013942654,0.39585108,0.00032241546,0.00026186183,0.00031014468,0.00021840463,0.00006044803,0.005762109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99895334,0.00046537071,0.00005960114,0.00021247583,0.0002290127,0.00008020042],"domain_scores_gemma":[0.9977181,0.0012506247,0.00032546028,0.00015033444,0.00042665435,0.00012890158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031106048,0.0007625195,0.0009504265,0.0020499805,0.0004960378,0.0014384079,0.0015976514,0.0014951007,0.0027121338],"category_scores_gemma":[0.007054867,0.00040073885,0.0012283763,0.0013800663,0.0010407919,0.002677958,0.0017656107,0.0016701149,0.00022856116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067750065,0.00021572075,0.007421111,0.00030807647,0.00020163227,0.00047745818,0.00029588767,0.5289764,0.0057255845,0.34818822,0.0021613312,0.10596089],"study_design_scores_gemma":[0.0000090959,0.00005249266,0.00041549178,0.000018593793,0.000027202828,0.000080336176,0.00003337502,0.9420816,0.0005582031,0.055660635,0.0010473537,0.00001565426],"about_ca_topic_score_codex":0.0018952055,"about_ca_topic_score_gemma":0.0013438265,"teacher_disagreement_score":0.0031106048,"about_ca_system_score_codex":0.0009414577,"about_ca_system_score_gemma":0.0019416737,"threshold_uncertainty_score":0.016450644},"labels":[],"label_agreement":null},{"id":"W4386350524","doi":"10.2139/ssrn.4558295","title":"Dissecting Corporate Culture Using Generative AI – Insights from Analyst Reports","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Organizational culture; Generative grammar; Mergers and acquisitions; Business; Profitability index; Shareholder value; Equity (law); Value (mathematics); Shareholder; Marketing; Corporate governance; Economics; Management; Political science; Computer science; Finance","score_opus":0.03796470633173607,"score_gpt":0.23889086002236554,"score_spread":0.20092615369062947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386350524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8862897,0.0006069289,0.058405492,0.0028937582,0.00005622247,0.000083903884,0.0003978432,0.0002737801,0.05099241],"genre_scores_gemma":[0.99158233,0.00015029653,0.0072819707,0.000091711256,0.000022918523,0.000023701032,0.00014212781,0.000037353904,0.0006675353],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973815,0.0016531139,0.00011049821,0.00019838095,0.0005385035,0.000118001015],"domain_scores_gemma":[0.95111793,0.04088279,0.003190951,0.0024064335,0.0020237223,0.0003781642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00387106,0.00026175845,0.00019967771,0.0034119568,0.00068011443,0.0056662317,0.00087581814,0.0008397428,0.0016585317],"category_scores_gemma":[0.032811236,0.00030752984,0.00031365262,0.0027701159,0.0022870894,0.0040803445,0.00128518,0.0010217805,0.00033502706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032653622,0.00035133972,0.29994982,0.00037937757,0.00024361994,0.0011447,0.14572951,0.01584675,0.008485429,0.21519563,0.004709642,0.30763766],"study_design_scores_gemma":[0.00006191518,0.0002251809,0.26961648,0.00040414993,0.00017329701,0.0011861324,0.10449572,0.21860485,0.0057254676,0.36274183,0.036557198,0.00020779524],"about_ca_topic_score_codex":0.0053172144,"about_ca_topic_score_gemma":0.0052384585,"teacher_disagreement_score":0.0056662317,"about_ca_system_score_codex":0.0012329028,"about_ca_system_score_gemma":0.00089907116,"threshold_uncertainty_score":0.020472348},"labels":[],"label_agreement":null},{"id":"W4386376111","doi":"10.33423/jabe.v25i4.6363","title":"Trades, Basis, and Price Revisions in the S&amp;P Depositary Receipts","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Futures contract; Portfolio; Index (typography); Economics; Financial economics; Price discovery; Econometrics","score_opus":0.03689992359905428,"score_gpt":0.21169552971567673,"score_spread":0.17479560611662245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386376111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99749595,0.000055359964,0.00029464765,0.000085317726,0.000007966465,0.000006822662,0.0001729096,0.0000115822195,0.0018693596],"genre_scores_gemma":[0.9991479,0.000035345296,0.00013114298,0.000007842126,0.000011222106,0.0000024431295,0.0001423051,0.0000036094825,0.0005182687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991918,0.00015232948,0.000103385115,0.00013694815,0.00033105648,0.000084488216],"domain_scores_gemma":[0.97214186,0.0122577585,0.010512916,0.0015286885,0.002602081,0.0009567556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015914857,0.0001670338,0.00027506216,0.0010909,0.0003575769,0.0022818856,0.00030947075,0.0005713323,0.003230879],"category_scores_gemma":[0.028453663,0.00023418674,0.00022796307,0.0011203757,0.000565207,0.0017864048,0.00085728866,0.0010755705,0.0005414328],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011318122,0.00021172287,0.9554428,0.000034755973,0.00008820352,0.0006494067,0.0011246635,0.004290591,0.003351764,0.0033735966,0.00079138,0.029509373],"study_design_scores_gemma":[0.000011090806,0.00013096041,0.9865485,0.000011512472,0.000034912904,0.00027167168,0.00067691534,0.00819377,0.0011928944,0.0021352365,0.0007623123,0.000030266281],"about_ca_topic_score_codex":0.003461188,"about_ca_topic_score_gemma":0.0026496588,"teacher_disagreement_score":0.003461188,"about_ca_system_score_codex":0.000638,"about_ca_system_score_gemma":0.000337625,"threshold_uncertainty_score":0.010808349},"labels":[],"label_agreement":null},{"id":"W4386381965","doi":"10.2139/ssrn.4558016","title":"Quantitative Tightening with Slow-Moving Capital","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Bond; Economics; Market liquidity; Monetary economics; Bond valuation; Bond market; Portfolio; Risk premium; Valuation (finance); Monetary policy; Financial economics; Finance","score_opus":0.02013257628835881,"score_gpt":0.2182951304851337,"score_spread":0.19816255419677486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386381965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7197997,0.0026599462,0.22821933,0.0052604387,0.00058374816,0.0000749273,0.0010573302,0.0011270893,0.041217554],"genre_scores_gemma":[0.98878,0.00031043758,0.0031747937,0.0001402291,0.00012862097,0.000022802113,0.00010327261,0.000067893256,0.00727199],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990681,0.00022292676,0.000053116797,0.0003030144,0.00014607809,0.00020676662],"domain_scores_gemma":[0.9868145,0.006559936,0.0034913195,0.0013818638,0.00077924307,0.0009730808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034399685,0.00074552296,0.0011370616,0.0015419216,0.0005732242,0.0032757216,0.0014825918,0.001845352,0.013100757],"category_scores_gemma":[0.027058065,0.00082607503,0.00066896016,0.0011032983,0.0028860578,0.0070516486,0.0017521272,0.0024351845,0.00043030534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016989173,0.00008854846,0.0059273927,0.0003694928,0.00013479732,0.0003815873,0.0003261579,0.110194996,0.0020278932,0.85563433,0.0059504444,0.018794537],"study_design_scores_gemma":[0.000041438572,0.00012850831,0.0076892334,0.000046498753,0.000054510663,0.00014791074,0.00025132575,0.19199291,0.0011250606,0.7952304,0.0032422843,0.000049931714],"about_ca_topic_score_codex":0.00281871,"about_ca_topic_score_gemma":0.0016245664,"teacher_disagreement_score":0.013100757,"about_ca_system_score_codex":0.0013468593,"about_ca_system_score_gemma":0.00090690906,"threshold_uncertainty_score":0.04382634},"labels":[],"label_agreement":null},{"id":"W4386389624","doi":"10.2139/ssrn.4560084","title":"Realized Semibetas and International Stock Return Predictability","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Predictability; Stock (firearms); Business; Financial economics; Economics; Mathematics; Geography; Statistics","score_opus":0.04304934366803764,"score_gpt":0.2545946753258342,"score_spread":0.21154533165779654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386389624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9618259,0.00030150576,0.03374245,0.00046900727,0.00004109574,0.0000046283485,0.00017026532,0.00020063898,0.0032446377],"genre_scores_gemma":[0.9988593,0.00007083539,0.00043336189,0.000013372554,0.000033153054,0.0000029382213,0.0000618353,0.000021326729,0.0005038997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99970883,0.00006734872,0.000023297773,0.0000728535,0.00006960672,0.000058060337],"domain_scores_gemma":[0.989403,0.0067218267,0.0018502274,0.00077275356,0.0006105623,0.00064157834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002185228,0.0004039811,0.00064162764,0.001060112,0.00023919762,0.0021110063,0.00048359708,0.0005353826,0.0031007652],"category_scores_gemma":[0.017281257,0.00036082818,0.0003843551,0.0005766411,0.0011619295,0.0023009246,0.00082439336,0.0010868986,0.00037812497],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012527305,0.00030247998,0.16007623,0.00024113804,0.00033885968,0.0018022612,0.0010919566,0.26650473,0.017716382,0.47145212,0.0054407152,0.073780425],"study_design_scores_gemma":[0.000039707436,0.00012561567,0.06800763,0.000032212873,0.000039924977,0.00046980192,0.00014436919,0.6316318,0.0013121029,0.2976494,0.000472097,0.000075373675],"about_ca_topic_score_codex":0.00064326124,"about_ca_topic_score_gemma":0.00042617822,"teacher_disagreement_score":0.0031007652,"about_ca_system_score_codex":0.00042142303,"about_ca_system_score_gemma":0.00032122975,"threshold_uncertainty_score":0.011556745},"labels":[],"label_agreement":null},{"id":"W4386424603","doi":"10.1016/j.frl.2023.104419","title":"Fund performance evaluation with explainable artificial intelligence","year":2023,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Alberta Media Fund; Social Sciences and Humanities Research Council of Canada; Université Laval; Horizon 2020 Framework Programme; Horizon 2020; Mitacs; Llywodraeth Cymru; Ministère des relations internationales et de la Francophonie","keywords":"Diversification (marketing strategy); Computer science; Equity (law); Robustness (evolution); Benchmark (surveying); Macro; Econometrics; Artificial intelligence; Valuation (finance); Machine learning; Economics; Finance; Business; Political science; Geography","score_opus":0.2720813282726379,"score_gpt":0.3423768922219747,"score_spread":0.07029556394933678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386424603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9497365,0.0016511901,0.03318392,0.0013183538,0.00009841105,0.00016075883,0.00805897,0.00095316477,0.004838953],"genre_scores_gemma":[0.9716342,0.00019642994,0.017490264,0.000104697116,0.00007424279,0.000078764446,0.009865134,0.00004952456,0.0005067539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967884,0.0020433806,0.00018762158,0.0003797059,0.00045939093,0.00014158503],"domain_scores_gemma":[0.9898627,0.0061759152,0.0012818809,0.0017048947,0.00073109585,0.00024351254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076662046,0.00086758623,0.00085008,0.0038886152,0.00028602144,0.001742282,0.0010185554,0.0012198566,0.0010845156],"category_scores_gemma":[0.023754647,0.00016515171,0.0007874565,0.0034182114,0.0006513734,0.0010706313,0.0012905599,0.0009697506,0.00031362305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057034363,0.0005944815,0.17754115,0.00036550598,0.0012358126,0.0003144222,0.000368353,0.6792499,0.0008849553,0.008781038,0.01556874,0.11452529],"study_design_scores_gemma":[0.00012589975,0.0003541802,0.037875056,0.00006030266,0.00008426746,0.00010251521,0.0001377333,0.94539225,0.0013506447,0.009213554,0.005267829,0.000035751593],"about_ca_topic_score_codex":0.0038877248,"about_ca_topic_score_gemma":0.003442889,"teacher_disagreement_score":0.0076662046,"about_ca_system_score_codex":0.0010944167,"about_ca_system_score_gemma":0.0006735698,"threshold_uncertainty_score":0.0405432},"labels":[],"label_agreement":null},{"id":"W4386456736","doi":"10.32920/24084921","title":"Did the STOCK Act Impact the Performance, Risk, and Flow of Hedge Funds?","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Brock University","funders":"","keywords":"Hedge fund; Fund of funds; Business; Alternative beta; Stock (firearms); Open-end fund; Systematic risk; Global assets under management; Monetary economics; Institutional investor; Finance; Economics","score_opus":0.05612601962449384,"score_gpt":0.24419987609256869,"score_spread":0.18807385646807484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386456736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959812,0.0002201431,0.00008131465,0.0005573369,0.000014331317,0.00000902466,0.00013018206,0.0000032781054,0.0030031342],"genre_scores_gemma":[0.99808717,0.00013704668,0.000044724733,0.000069405985,0.00002322086,0.0000046022774,0.00012850006,0.0000026496139,0.0015027293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992648,0.00017151012,0.00006385164,0.00007883663,0.00021433615,0.0002067819],"domain_scores_gemma":[0.99096346,0.002696996,0.004764767,0.00020877105,0.0007365179,0.00062941934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019986397,0.00013076243,0.00026878636,0.0005684223,0.00030571947,0.0026354552,0.0002490755,0.0007669061,0.0024278446],"category_scores_gemma":[0.0092502935,0.00010736923,0.00034323995,0.0005355694,0.0005827875,0.0012617565,0.0005910413,0.00083239394,0.00045546395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089743827,0.00037566727,0.962799,0.00003978942,0.00015536095,0.00030465258,0.0007080842,0.0016832795,0.0010031378,0.0041571576,0.00097088935,0.026905576],"study_design_scores_gemma":[0.000012993359,0.00020709608,0.9938116,0.000015853904,0.0000578613,0.000029787087,0.0009914717,0.0010754947,0.00093025906,0.0009815407,0.0018713971,0.000014582533],"about_ca_topic_score_codex":0.014987072,"about_ca_topic_score_gemma":0.014437753,"teacher_disagreement_score":0.014987072,"about_ca_system_score_codex":0.001253116,"about_ca_system_score_gemma":0.0010234031,"threshold_uncertainty_score":0.0297997},"labels":[],"label_agreement":null},{"id":"W4386458218","doi":"10.1111/irfi.12273","title":"Issue Information","year":2020,"lang":"en","type":"paratext","venue":"International Review of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Carey Business School, Johns Hopkins University; Sloan School of Management, Massachusetts Institute of Technology; Shanghai University of Finance and Economics; Universiteit van Tilburg; Universität Zürich; University of Toronto; University of New South Wales; Hong Kong University of Science and Technology; Tsinghua University; KU Leuven; Georgetown University; Nanyang Technological University; Boston College; Imperial College London; University of Warwick; University of Alberta; University of Texas at Austin; National University of Singapore; Michigan State University; London School of Economics and Political Science; University of Pittsburgh; College of Engineering, Michigan State University; Johns Hopkins University; Arizona State University; York University; University of Miami; University of Notre Dame; Universidad Carlos III de Madrid; Purdue University","keywords":"Citation; Computer science; Information retrieval; Internet privacy; Library science; World Wide Web","score_opus":0.024657213182213433,"score_gpt":0.25916219571575105,"score_spread":0.23450498253353763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386458218","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003825889,0.004490238,0.000844988,0.013628912,0.09683983,0.00058762036,0.027960112,0.0018872308,0.8533784],"genre_scores_gemma":[0.0010841701,0.0022644452,0.0004219748,0.004252771,0.012671395,0.0001554984,0.010373375,0.00046137464,0.968315],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982821,0.00014973729,0.00014286995,0.00024026321,0.0009887978,0.00019623012],"domain_scores_gemma":[0.9907933,0.00080104335,0.00046434242,0.0005892037,0.0051611266,0.002190974],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013678677,0.0013054892,0.0015575197,0.003980693,0.0013682031,0.006815506,0.0015918564,0.0025328249,0.79310125],"category_scores_gemma":[0.009779244,0.0005083687,0.0007499798,0.0040710657,0.0004792253,0.0037415102,0.0018245425,0.001993311,0.7616378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001137679,0.000009787299,0.000031419157,0.000111767804,8.354664e-7,0.000008702755,0.0000035495113,0.0000109040675,0.000044602974,0.0005214681,0.97846836,0.020777274],"study_design_scores_gemma":[0.0000071573736,0.000010190166,0.00023453661,0.0000996848,0.000001018637,0.000018111048,0.000011585866,0.000020360954,0.00003838137,0.00055855716,0.99899715,0.0000033841425],"about_ca_topic_score_codex":0.0015137193,"about_ca_topic_score_gemma":0.0029673553,"teacher_disagreement_score":0.20689875,"about_ca_system_score_codex":0.0013415248,"about_ca_system_score_gemma":0.0024514988,"threshold_uncertainty_score":0.29511595},"labels":[],"label_agreement":null},{"id":"W4386461506","doi":"10.32920/24084921.v1","title":"Did the STOCK Act Impact the Performance, Risk, and Flow of Hedge Funds?","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Brock University","funders":"","keywords":"Hedge fund; Fund of funds; Alternative beta; Business; Open-end fund; Stock (firearms); Global assets under management; Systematic risk; Finance; Monetary economics; Institutional investor; Economics","score_opus":0.05612601962449384,"score_gpt":0.24419987609256869,"score_spread":0.18807385646807484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386461506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959812,0.0002201431,0.00008131465,0.0005573369,0.000014331317,0.00000902466,0.00013018206,0.0000032781054,0.0030031342],"genre_scores_gemma":[0.99808717,0.00013704668,0.000044724733,0.000069405985,0.00002322086,0.0000046022774,0.00012850006,0.0000026496139,0.0015027293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992648,0.00017151012,0.00006385164,0.00007883663,0.00021433615,0.0002067819],"domain_scores_gemma":[0.99096346,0.002696996,0.004764767,0.00020877105,0.0007365179,0.00062941934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019986397,0.00013076243,0.00026878636,0.0005684223,0.00030571947,0.0026354552,0.0002490755,0.0007669061,0.0024278446],"category_scores_gemma":[0.0092502935,0.00010736923,0.00034323995,0.0005355694,0.0005827875,0.0012617565,0.0005910413,0.00083239394,0.00045546395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089743827,0.00037566727,0.962799,0.00003978942,0.00015536095,0.00030465258,0.0007080842,0.0016832795,0.0010031378,0.0041571576,0.00097088935,0.026905576],"study_design_scores_gemma":[0.000012993359,0.00020709608,0.9938116,0.000015853904,0.0000578613,0.000029787087,0.0009914717,0.0010754947,0.00093025906,0.0009815407,0.0018713971,0.000014582533],"about_ca_topic_score_codex":0.014987072,"about_ca_topic_score_gemma":0.014437753,"teacher_disagreement_score":0.014987072,"about_ca_system_score_codex":0.001253116,"about_ca_system_score_gemma":0.0010234031,"threshold_uncertainty_score":0.0297997},"labels":[],"label_agreement":null},{"id":"W4386508666","doi":"10.1142/s2424786323500263","title":"Flight to quality and portfolio diversification under ambiguity of correlation","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Diversification (marketing strategy); Ambiguity; Portfolio; Asset (computer security); Modern portfolio theory; Econometrics; Correlation; Portfolio optimization; Economics; Quality (philosophy); Financial economics; Microeconomics; Business; Computer science; Mathematics; Marketing; Physics","score_opus":0.042690061665751074,"score_gpt":0.2574572451137623,"score_spread":0.2147671834480112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386508666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685347,0.0001879402,0.025450462,0.0006992335,0.0000072323087,0.000013789242,0.000030062283,0.000017214721,0.005059418],"genre_scores_gemma":[0.99919206,0.000032871194,0.00062464806,0.00001770642,0.0000047680687,0.0000022877332,0.000004106645,7.919416e-7,0.00012083513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991462,0.00027378884,0.000055206612,0.00012555259,0.00016623407,0.00023289624],"domain_scores_gemma":[0.9900581,0.003925241,0.0043260744,0.0007135504,0.0003346928,0.0006422753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002653192,0.00027409615,0.00061749754,0.0005744576,0.00044165083,0.002326176,0.00044000355,0.001183242,0.0015515214],"category_scores_gemma":[0.015052544,0.0002595158,0.00046832452,0.00044575622,0.0022283802,0.0028663464,0.001876039,0.0013292782,0.00007532388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007075123,0.00018989049,0.0966728,0.0001362469,0.0002139362,0.0019061327,0.0012782025,0.22754927,0.010161102,0.63080895,0.0007703128,0.029605694],"study_design_scores_gemma":[0.0001410161,0.00028712014,0.045972448,0.000052958658,0.000068401765,0.0008070324,0.00067818287,0.3085798,0.0033086713,0.63924474,0.00076898,0.000090703295],"about_ca_topic_score_codex":0.00070918363,"about_ca_topic_score_gemma":0.0003109225,"teacher_disagreement_score":0.002653192,"about_ca_system_score_codex":0.0007975944,"about_ca_system_score_gemma":0.0004456634,"threshold_uncertainty_score":0.014031589},"labels":[],"label_agreement":null},{"id":"W4386570573","doi":"10.1016/j.frl.2023.104434","title":"Threshold cointegration and asymmetries between dividends and earnings news","year":2023,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Cointegration; Economics; Earnings; Dividend; Shock (circulatory); Econometrics; Monetary economics; Financial economics; Finance","score_opus":0.10397565176782693,"score_gpt":0.302841532906476,"score_spread":0.19886588113864906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386570573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95955145,0.0007425286,0.019867092,0.002461743,0.000068824746,0.000015303427,0.0002515529,0.0001877467,0.016853575],"genre_scores_gemma":[0.9983632,0.00012477787,0.000298828,0.00004077526,0.00003242348,0.0000032561818,0.000063331165,0.00001164501,0.0010618711],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930775,0.0001281637,0.00007226023,0.00013409273,0.00014346236,0.00021422663],"domain_scores_gemma":[0.96722275,0.024932174,0.0045437273,0.0013720776,0.0011217442,0.00080745335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022637858,0.00022592004,0.000734987,0.0013983767,0.000332564,0.0051723416,0.0005746437,0.0017168501,0.008098298],"category_scores_gemma":[0.043326173,0.0004556917,0.00036367017,0.0013956724,0.0010438265,0.005601892,0.0011241506,0.0018321109,0.00080596266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014760599,0.00043717984,0.15250668,0.00026396805,0.0003185578,0.001478849,0.0015794936,0.03757049,0.013244377,0.7074329,0.0060139615,0.07767746],"study_design_scores_gemma":[0.00013906621,0.00015711448,0.17622983,0.00008416551,0.00016393539,0.0005334324,0.0008592246,0.22082077,0.004085628,0.59533024,0.0014908015,0.000105812345],"about_ca_topic_score_codex":0.0018350204,"about_ca_topic_score_gemma":0.0013880506,"teacher_disagreement_score":0.008098298,"about_ca_system_score_codex":0.0009688922,"about_ca_system_score_gemma":0.00050327583,"threshold_uncertainty_score":0.027091503},"labels":[],"label_agreement":null},{"id":"W4386571960","doi":"10.2139/ssrn.4566280","title":"Market Literacy and Stock Market Participation","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Stock market; Business; Financial literacy; Literacy; Economics; Finance; Economic growth; Geography","score_opus":0.019230690083455484,"score_gpt":0.2439228974572683,"score_spread":0.22469220737381282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386571960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903352,0.00019435861,0.00012593885,0.00067092007,0.000008644996,0.000011064871,0.00037041408,0.000007655216,0.008275774],"genre_scores_gemma":[0.99833375,0.00006823514,0.000027566619,0.0000508623,0.0000364907,0.0000066078355,0.00020128732,0.0000029394384,0.0012722661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990941,0.00029732974,0.000110876004,0.00008094228,0.00011936214,0.0002973802],"domain_scores_gemma":[0.9495815,0.025349068,0.016384121,0.001424338,0.0014044399,0.0058565256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019005367,0.00016910686,0.00033702076,0.0021313871,0.00046069265,0.002492486,0.00046407807,0.0014466682,0.030709445],"category_scores_gemma":[0.028016225,0.00015880678,0.0003736515,0.0014496346,0.00072542386,0.0023816626,0.0015224098,0.0015616415,0.0021857272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002870629,0.0005222096,0.9884565,0.000027438653,0.00007854527,0.00024702158,0.0005552429,0.00018094094,0.00022285237,0.0015047872,0.0004912878,0.00742617],"study_design_scores_gemma":[0.000026873782,0.00020882739,0.9914532,0.000036544683,0.000054181284,0.0006086542,0.0012357745,0.000897625,0.00019336985,0.004181008,0.0010895983,0.000014384061],"about_ca_topic_score_codex":0.0016929841,"about_ca_topic_score_gemma":0.002063244,"teacher_disagreement_score":0.030709445,"about_ca_system_score_codex":0.00021423289,"about_ca_system_score_gemma":0.00033420976,"threshold_uncertainty_score":0.102733314},"labels":[],"label_agreement":null},{"id":"W4386579988","doi":"10.2139/ssrn.4566414","title":"The CAPM, APT, and PAPM","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Domtar (Canada); Occupational Cancer Research Centre","funders":"","keywords":"Business","score_opus":0.015344458181694885,"score_gpt":0.20049081462990687,"score_spread":0.18514635644821198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386579988","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011661392,0.030327171,0.024659881,0.22576654,0.016223107,0.000077774166,0.0025258765,0.0006221396,0.68813616],"genre_scores_gemma":[0.57614064,0.038161512,0.030738968,0.032651335,0.02775094,0.0006126407,0.003000811,0.0010444449,0.2898987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970817,0.0011076876,0.00013188917,0.00049344834,0.0009877473,0.00019741856],"domain_scores_gemma":[0.984083,0.00594028,0.0012201532,0.0027613884,0.0047089905,0.0012861012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031695461,0.0006981339,0.0010101892,0.004460039,0.0022590742,0.009751517,0.0016069065,0.004518409,0.054115366],"category_scores_gemma":[0.057756223,0.00051574747,0.0006635579,0.0056171385,0.00305775,0.007336799,0.003890731,0.0053155096,0.01652355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007522094,0.000048214362,0.0024930728,0.00018449231,0.000029641635,0.000096495,0.00018721615,0.0013573702,0.00005494408,0.48002315,0.3851492,0.13030091],"study_design_scores_gemma":[0.000056598445,0.000044380417,0.004078585,0.00065313024,0.00006224155,0.0004169254,0.0003562727,0.012212094,0.0004399492,0.47801468,0.50359684,0.00006823847],"about_ca_topic_score_codex":0.004098551,"about_ca_topic_score_gemma":0.0037362436,"teacher_disagreement_score":0.054115366,"about_ca_system_score_codex":0.0029983947,"about_ca_system_score_gemma":0.004073048,"threshold_uncertainty_score":0.18103397},"labels":[],"label_agreement":null},{"id":"W4386602928","doi":"10.1287/mnsc.2021.02802","title":"The Conceptual Flaws of Decentralized Automated Market Making","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Market liquidity; Context (archaeology); Order (exchange); Regret; Economics; Market maker; Business; Finance; Computer science; Financial economics","score_opus":0.03778119557341916,"score_gpt":0.25655558503865267,"score_spread":0.2187743894652335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386602928","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06834656,0.0030483298,0.5928258,0.08896608,0.00080677937,0.0002929788,0.0006984471,0.00094655564,0.24406849],"genre_scores_gemma":[0.87484795,0.0011436312,0.1038434,0.0025417649,0.000655191,0.0004972973,0.00015277695,0.00023349126,0.016084582],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9915126,0.0036725255,0.00042334615,0.0017446924,0.0019711575,0.00067559426],"domain_scores_gemma":[0.98003495,0.008735613,0.001917402,0.006414415,0.00203631,0.00086129346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014467115,0.0005152929,0.0008883207,0.0015189998,0.0026586852,0.00949766,0.002811506,0.0047865277,0.011435193],"category_scores_gemma":[0.029420508,0.0007787874,0.001247422,0.001277641,0.018487865,0.01649355,0.0048233885,0.006212207,0.002020572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074250775,0.000005403781,0.00006629453,0.0000112096295,0.0000037490988,0.00001293341,0.0000988449,0.0011271957,0.00003424084,0.9961761,0.0005584785,0.0018980439],"study_design_scores_gemma":[0.000015370164,0.0000047279664,0.000055580025,0.000012364804,0.0000024010626,0.000016276774,0.000032979762,0.0040562768,0.000055106648,0.99052083,0.00522133,0.000006787137],"about_ca_topic_score_codex":0.0031466254,"about_ca_topic_score_gemma":0.0014568869,"teacher_disagreement_score":0.014467115,"about_ca_system_score_codex":0.0038334592,"about_ca_system_score_gemma":0.00346176,"threshold_uncertainty_score":0.07651037},"labels":[],"label_agreement":null},{"id":"W4386638686","doi":"10.54254/2754-1169/17/20231123","title":"Research on Algorithmic Trading and Its Role in Pricing Efficiency in Chinese Stock Market","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Market liquidity; Algorithmic trading; Market microstructure; Financial economics; Volatility (finance); Econometrics; Trading strategy; Volume-weighted average price; Variable pricing; Stock market; Proxy (statistics); Stock (firearms); Database transaction; Price discovery; Empirical research; Economics; China; Transaction cost; Business; Microeconomics; Monetary economics; Market maker; Order (exchange); Computer science; Finance","score_opus":0.04102429484484804,"score_gpt":0.3130893912369018,"score_spread":0.2720650963920538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386638686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898783,0.0011241157,0.005529441,0.0003203152,0.000010653087,0.000016789654,0.000073978255,0.000022914728,0.0030234207],"genre_scores_gemma":[0.9989255,0.00028215846,0.00052849774,0.000018353794,0.000017522281,0.000003575614,0.00005911707,0.0000031111963,0.00016210448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987293,0.00035608286,0.00014005018,0.00027962864,0.0003139584,0.00018104044],"domain_scores_gemma":[0.99011177,0.0055019576,0.0025951958,0.0007357488,0.00076779135,0.00028766567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028430908,0.0004475897,0.0004412027,0.0020916108,0.00052305,0.0021263135,0.0006941245,0.000526592,0.0016483441],"category_scores_gemma":[0.014841685,0.00022641366,0.0007225537,0.0024725043,0.0014692603,0.0035172328,0.0006169942,0.00064486393,0.000114035145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012569118,0.0001809727,0.8481908,0.00021161119,0.0005152876,0.00052605773,0.0007609185,0.05004571,0.00232193,0.031065656,0.00057022076,0.065485284],"study_design_scores_gemma":[0.000041424697,0.00017985406,0.7304093,0.000064716594,0.00034385064,0.00029529526,0.0007333679,0.23905186,0.0020346914,0.024941133,0.0018330773,0.00007131681],"about_ca_topic_score_codex":0.0074443975,"about_ca_topic_score_gemma":0.0044739856,"teacher_disagreement_score":0.0074443975,"about_ca_system_score_codex":0.0010141067,"about_ca_system_score_gemma":0.0010235972,"threshold_uncertainty_score":0.015035927},"labels":[],"label_agreement":null},{"id":"W4386639191","doi":"10.54254/2754-1169/13/20230741","title":"Exploring the Existence of Efficiency in the Financial Markets","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Efficient-market hypothesis; Financial market efficiency; Market efficiency; Financial market; Market depth; Mark to model; Market microstructure; Economics; Capital market line; Financial economics; Financial market participants; Market impact; Business; Indirect finance; Finance; Order (exchange); Stock market","score_opus":0.07614358217182775,"score_gpt":0.2600017483796322,"score_spread":0.18385816620780443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386639191","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4074839,0.004902279,0.4983722,0.0053637517,0.00008056281,0.00014104384,0.00012897738,0.00007202324,0.08345529],"genre_scores_gemma":[0.97785634,0.0013808142,0.018522495,0.00016483494,0.00009545093,0.000086370506,0.000048857124,0.000019845711,0.0018249456],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9961274,0.0022253594,0.00015677379,0.00051498506,0.0005861313,0.00038942203],"domain_scores_gemma":[0.967991,0.02701619,0.0021941687,0.0011249345,0.0012351986,0.000438483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076712156,0.00058958825,0.0010231326,0.0023795834,0.00088888715,0.0047096866,0.001135005,0.0014356251,0.003790539],"category_scores_gemma":[0.03094896,0.0005440221,0.0013361329,0.0015055707,0.006332092,0.010012672,0.002816782,0.0021260423,0.0002996686],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022668699,0.000045417306,0.0032352828,0.000079032696,0.000058909263,0.00011110026,0.00032558004,0.0065706694,0.0003013542,0.9816944,0.00022256137,0.0073330863],"study_design_scores_gemma":[0.0000149981,0.00004869266,0.0023883625,0.00003751777,0.00001909485,0.00008340129,0.00028516073,0.03347489,0.0002260381,0.96166945,0.0017364791,0.000015891796],"about_ca_topic_score_codex":0.00086919346,"about_ca_topic_score_gemma":0.0002876272,"teacher_disagreement_score":0.0076712156,"about_ca_system_score_codex":0.0016439572,"about_ca_system_score_gemma":0.0011132435,"threshold_uncertainty_score":0.040569782},"labels":[],"label_agreement":null},{"id":"W4386639221","doi":"10.54254/2754-1169/14/20230832","title":"The Best Investing Strategy for Beginners","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Portfolio; Investment strategy; Arbitrage; Trading strategy; Order (exchange); Investment (military); Stock (firearms); Project portfolio management; Order book; Economics; Financial economics; Business; Computer science; Operations research; Microeconomics; Finance; Engineering; Management; Project management","score_opus":0.05716160002254068,"score_gpt":0.2853867641770396,"score_spread":0.22822516415449895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386639221","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056225378,0.014245835,0.09172562,0.10326344,0.0107054645,0.00036130325,0.0005197514,0.0024825544,0.72047067],"genre_scores_gemma":[0.28549948,0.009994977,0.122883126,0.013094825,0.0037418983,0.00020450666,0.00039756153,0.0007889402,0.5633946],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996087,0.00011344777,0.000020025409,0.000049569462,0.00013734632,0.00007089827],"domain_scores_gemma":[0.99914765,0.00014535098,0.00006427014,0.00008054572,0.00025185128,0.00031038295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010092345,0.000706966,0.00033212453,0.00049503247,0.0011023218,0.00412883,0.0006215,0.0010713985,0.027203951],"category_scores_gemma":[0.0033247387,0.00020054932,0.00030684835,0.0002546034,0.000715706,0.0040808483,0.0010979656,0.0017185959,0.0108932555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001785557,0.00018062169,0.0036395935,0.000383764,0.000037878315,0.0008581281,0.0039112954,0.0005547717,0.0068982923,0.11278492,0.4566358,0.41393644],"study_design_scores_gemma":[0.000034814944,0.00021189428,0.003507594,0.0006147504,0.00003542713,0.0010422687,0.0056036734,0.0012494915,0.0037779284,0.053852182,0.93001324,0.000056752888],"about_ca_topic_score_codex":0.00038704788,"about_ca_topic_score_gemma":0.0011548074,"teacher_disagreement_score":0.027203951,"about_ca_system_score_codex":0.00068289164,"about_ca_system_score_gemma":0.0006172356,"threshold_uncertainty_score":0.09100628},"labels":[],"label_agreement":null},{"id":"W4386765378","doi":"10.2139/ssrn.4572102","title":"The US Equity Valuation Premium, Globalization, and Climate Change Risks","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Valuation (finance); Equity (law); Climate change; Globalization; Financial economics; Risk premium; Business; Finance; Market economy; Political science","score_opus":0.07416738495459958,"score_gpt":0.2912828713219037,"score_spread":0.21711548636730416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386765378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734258,0.0031049682,0.0012393778,0.006110125,0.000102258215,0.000005795229,0.0003725633,0.000023759825,0.015615345],"genre_scores_gemma":[0.99890006,0.000425189,0.000041255425,0.00008087485,0.000051727984,6.8927926e-7,0.00006608031,0.0000024027395,0.0004318271],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998913,0.000027639186,0.0000070676697,0.000017460085,0.000025652793,0.000030985255],"domain_scores_gemma":[0.99750876,0.0009382051,0.0010111677,0.00007798444,0.00014388801,0.0003200315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066250545,0.00015935741,0.00018372851,0.00084079284,0.00021242163,0.0020246087,0.0001494594,0.0008352427,0.004812465],"category_scores_gemma":[0.0045079715,0.00008125537,0.00020828903,0.0010721193,0.0006584749,0.0015855295,0.00065433764,0.00093977555,0.00016561818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005503376,0.0003250082,0.745151,0.00011629765,0.00025815272,0.000713545,0.0008044276,0.015144616,0.0018955573,0.15223227,0.014148059,0.06866077],"study_design_scores_gemma":[0.000042279935,0.00012035086,0.7890456,0.000095039904,0.00017949026,0.00043868288,0.0013861464,0.027384887,0.0006555671,0.1717615,0.008831157,0.0000592861],"about_ca_topic_score_codex":0.007435242,"about_ca_topic_score_gemma":0.0076191006,"teacher_disagreement_score":0.007435242,"about_ca_system_score_codex":0.00072670355,"about_ca_system_score_gemma":0.00035149977,"threshold_uncertainty_score":0.016099334},"labels":[],"label_agreement":null},{"id":"W4386776914","doi":"10.3390/jrfm16090410","title":"Why the High Values for the CAPE Ratio in Recent Years Might Be Justified","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Utah Valley University; Florida International University","keywords":"Cape; Equity (law); Valuation (finance); Economics; Econometrics; Earnings; Financial economics; Capital asset pricing model; Index (typography); Finance; Geography; Computer science","score_opus":0.02871807912445651,"score_gpt":0.22155709851859523,"score_spread":0.19283901939413872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386776914","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44674644,0.02653819,0.21030149,0.12894575,0.015499997,0.0001504002,0.0025541764,0.0011752101,0.1680883],"genre_scores_gemma":[0.97068644,0.0026099754,0.013188699,0.004666618,0.0016530214,0.000037335165,0.00035443436,0.00017388357,0.006629699],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99812,0.00034216477,0.00016622095,0.00062588975,0.0005422888,0.00020330596],"domain_scores_gemma":[0.98256624,0.0072442973,0.0050734426,0.0015898274,0.0029180194,0.0006082763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004476622,0.00046183844,0.00040223112,0.0011736467,0.0010090441,0.0030478323,0.0016461132,0.0021472168,0.005203048],"category_scores_gemma":[0.049350634,0.00025772024,0.000374226,0.0014763951,0.0020238014,0.006127605,0.0011811114,0.0033602333,0.0016140492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006567236,0.00012230912,0.20409004,0.0006444307,0.00027725502,0.0027148302,0.002045574,0.009807965,0.0038672038,0.48899144,0.047753833,0.23902836],"study_design_scores_gemma":[0.00011077263,0.0005020559,0.2265855,0.0011397181,0.00018476603,0.005228992,0.0043282327,0.03857478,0.01641696,0.4931509,0.21337685,0.00040049062],"about_ca_topic_score_codex":0.007636346,"about_ca_topic_score_gemma":0.004854922,"teacher_disagreement_score":0.007636346,"about_ca_system_score_codex":0.0012694927,"about_ca_system_score_gemma":0.00066616596,"threshold_uncertainty_score":0.023674905},"labels":[],"label_agreement":null},{"id":"W4386888647","doi":"10.1016/j.econmod.2023.106527","title":"The impact of ambiguity-loving attitude on market participation and asset pricing","year":2023,"lang":"en","type":"article","venue":"Economic Modelling","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Ambiguity; Economics; Ambiguity aversion; Capital asset pricing model; Equity (law); Equity premium puzzle; Financial economics; Asset (computer security); Monetary economics; Microeconomics; Political science; Law","score_opus":0.06641720874478942,"score_gpt":0.27833911252588783,"score_spread":0.21192190378109843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386888647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98350716,0.0000611726,0.0020623382,0.0006076229,0.000014212812,0.000005223981,0.000014512429,0.0000079073925,0.01371996],"genre_scores_gemma":[0.9995023,0.000017070755,0.000116537565,0.000018229524,0.000008552322,0.0000011882677,0.0000040529203,0.0000026280209,0.00032949474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898714,0.0005878611,0.000037312755,0.00008739684,0.00012979069,0.0001705354],"domain_scores_gemma":[0.96718943,0.025483636,0.00275968,0.001175955,0.00080271176,0.002588677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031727143,0.00019407949,0.00030024027,0.0003625033,0.00066502194,0.0038051791,0.00037871714,0.0013056197,0.008046932],"category_scores_gemma":[0.030306512,0.00015149283,0.00025976135,0.00030186627,0.001340549,0.001985972,0.0011901305,0.001715018,0.00030825814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0057065915,0.0044136015,0.41790754,0.00023217312,0.0003642345,0.0033467594,0.01308492,0.033387467,0.016845627,0.4108955,0.00260206,0.09121347],"study_design_scores_gemma":[0.00042877128,0.0012700489,0.34333333,0.00007832868,0.00022622572,0.0009627094,0.011020174,0.09497905,0.0031597575,0.5410784,0.0033154862,0.00014778263],"about_ca_topic_score_codex":0.0007310636,"about_ca_topic_score_gemma":0.0005258652,"teacher_disagreement_score":0.008046932,"about_ca_system_score_codex":0.00037434857,"about_ca_system_score_gemma":0.00040314396,"threshold_uncertainty_score":0.026919663},"labels":[],"label_agreement":null},{"id":"W4386901970","doi":"10.2139/ssrn.4577553","title":"Underlying Stock Price as Determinant of Option Spread and Depth","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Saskatchewan","funders":"","keywords":"Stock price; Stock (firearms); Economics; Financial economics; Econometrics; Geology; Geography; Series (stratigraphy); Paleontology","score_opus":0.06649973648182135,"score_gpt":0.27561311680665895,"score_spread":0.20911338032483762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386901970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959202,0.00013835383,0.0022297276,0.00012833533,0.000008964664,0.0000046483856,0.0001212094,0.00002366361,0.0014248274],"genre_scores_gemma":[0.99932635,0.000040256964,0.0001378209,0.0000052006903,0.000009770247,0.000001063052,0.00003928764,0.000004185541,0.0004360675],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99987364,0.000032022464,0.00000856715,0.000028622111,0.000031423668,0.000025601212],"domain_scores_gemma":[0.99337924,0.004208864,0.0009855052,0.00027485157,0.0004331509,0.00071838504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000645428,0.0002810302,0.00035725508,0.0006286792,0.00014940854,0.0015976203,0.00034716554,0.00077560346,0.006211898],"category_scores_gemma":[0.0074567036,0.00024386332,0.00025566592,0.00046712026,0.00035750892,0.0012566497,0.00041685672,0.0007637899,0.0005195497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016552428,0.0004919324,0.8116123,0.00015116765,0.00042002628,0.0029202718,0.00045137104,0.040601317,0.086903945,0.02672325,0.00096929463,0.027099969],"study_design_scores_gemma":[0.000062858395,0.00023952112,0.74304366,0.000022548153,0.00018613478,0.00080625195,0.00021087188,0.23167142,0.0058034253,0.017554024,0.00033866594,0.000060639657],"about_ca_topic_score_codex":0.0011887385,"about_ca_topic_score_gemma":0.00081577164,"teacher_disagreement_score":0.006211898,"about_ca_system_score_codex":0.0001900982,"about_ca_system_score_gemma":0.00020069278,"threshold_uncertainty_score":0.020780921},"labels":[],"label_agreement":null},{"id":"W4386947437","doi":"10.2139/ssrn.4580579","title":"Hedge Funds are on the Ball When Insiders Trade","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Hedge fund; Business; Ball (mathematics); Hedge; Financial system; Financial economics; Economics; Finance; Mathematics; Botany","score_opus":0.06539972528406077,"score_gpt":0.22713973282883246,"score_spread":0.1617400075447717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386947437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8954254,0.0026451964,0.013555209,0.010550637,0.00060834613,0.000051132112,0.00051168184,0.0004105743,0.076241836],"genre_scores_gemma":[0.9916046,0.00021802247,0.00053427456,0.00036384913,0.00018547777,0.000007943877,0.00010598646,0.000037872316,0.0069420673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99891806,0.00019123251,0.000071025854,0.0002326342,0.00025319846,0.0003339177],"domain_scores_gemma":[0.99326354,0.0028348514,0.0023652427,0.00052030623,0.0003263345,0.0006897731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020135485,0.0002858257,0.0012236655,0.0006728422,0.0009640956,0.00663298,0.0005374147,0.0041975835,0.014189778],"category_scores_gemma":[0.02022826,0.00050103647,0.00043671974,0.000483835,0.0012169745,0.0062537873,0.0015255553,0.0027501998,0.0024293326],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008657816,0.0005825005,0.1361365,0.0004956325,0.00056258054,0.0107947,0.004942262,0.016058361,0.013863485,0.5723194,0.08606722,0.14951949],"study_design_scores_gemma":[0.00069565105,0.00083549175,0.065843515,0.00028236717,0.0003635754,0.0037462574,0.007613473,0.05767292,0.007332564,0.8084404,0.046921644,0.0002521582],"about_ca_topic_score_codex":0.0014790483,"about_ca_topic_score_gemma":0.0013241487,"teacher_disagreement_score":0.014189778,"about_ca_system_score_codex":0.00062377553,"about_ca_system_score_gemma":0.00046291237,"threshold_uncertainty_score":0.047469556},"labels":[],"label_agreement":null},{"id":"W4386953733","doi":"10.1093/rof/rfad031","title":"The start matters: time-varying investor demand, hedge fund inceptions, and performance","year":2023,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University; York University; Canadian Intensive Care Foundation; George Mason University","keywords":"Hedge fund; Business; Monetary economics; Hedge; Institutional investor; Economics; Finance; Corporate governance","score_opus":0.060323667661357994,"score_gpt":0.23385688691634882,"score_spread":0.17353321925499082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386953733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99689144,0.0014804923,0.00020284785,0.00025598146,0.000009111867,0.000005611121,0.00020377252,0.0000026454022,0.0009480388],"genre_scores_gemma":[0.99892694,0.000330448,0.00004545201,0.000026667163,0.000021539448,0.0000036581512,0.00020213409,0.0000018795635,0.0004413545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995221,0.00013550112,0.000047185396,0.000084075924,0.0000868172,0.00012428519],"domain_scores_gemma":[0.97157335,0.015812265,0.0094303945,0.00047419427,0.000858395,0.0018515004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026072357,0.00020918067,0.00052539224,0.0007106524,0.00021002983,0.0015072203,0.0003694003,0.0011662146,0.0045150192],"category_scores_gemma":[0.013767937,0.00014986326,0.00047622048,0.00077017315,0.00039358292,0.00089658087,0.0005311658,0.000802485,0.0005514927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010807363,0.00032459924,0.98118377,0.000074860945,0.00030632308,0.0002240396,0.00012271275,0.0026106944,0.0010582382,0.00089085056,0.00056953565,0.01155369],"study_design_scores_gemma":[0.000027882528,0.00024302289,0.9945129,0.00002373429,0.00011660022,0.00006833048,0.00028181283,0.0028429916,0.00030199526,0.00091839733,0.00065024453,0.000012047079],"about_ca_topic_score_codex":0.0035923254,"about_ca_topic_score_gemma":0.0041826116,"teacher_disagreement_score":0.0045150192,"about_ca_system_score_codex":0.00054049125,"about_ca_system_score_gemma":0.00025569956,"threshold_uncertainty_score":0.015104234},"labels":[],"label_agreement":null},{"id":"W4386994206","doi":"10.2139/ssrn.4548682","title":"Asset Market Liquidity, Strategic Complementarity, and Bond Fund Flows","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Market liquidity; Business; Complementarity (molecular biology); Bond; Financial system; Bond market; Financial economics; Asset (computer security); Finance; Monetary economics; Economics","score_opus":0.06306655923998346,"score_gpt":0.2567069070811889,"score_spread":0.19364034784120543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386994206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886568,0.0009153992,0.0021760915,0.00086820516,0.000013823446,0.000007879766,0.00012947326,0.00001725028,0.007215061],"genre_scores_gemma":[0.9989153,0.00016966242,0.000094445044,0.00001945461,0.000023388251,0.0000023702419,0.00004111426,0.000001768116,0.0007325829],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997081,0.00009479299,0.000023230463,0.000038949627,0.00003586374,0.000099015226],"domain_scores_gemma":[0.98518014,0.008757411,0.004137925,0.00023957905,0.0003812722,0.0013036109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013830444,0.00024954617,0.0005106498,0.0012203894,0.00055758766,0.0030787152,0.00034904122,0.0011541217,0.008441387],"category_scores_gemma":[0.014887462,0.00022755265,0.0003118279,0.0010849398,0.0011597543,0.0032407779,0.0013306926,0.0012355237,0.0003556069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00316707,0.0008639659,0.67920035,0.00024444924,0.0005097231,0.002080934,0.0009750434,0.050115727,0.003149154,0.21110927,0.0041357996,0.044448648],"study_design_scores_gemma":[0.00041210695,0.0006542622,0.34102887,0.00013052093,0.00066669,0.0013048036,0.0025150015,0.10806111,0.0014597395,0.54119426,0.0024584653,0.00011414884],"about_ca_topic_score_codex":0.0030198696,"about_ca_topic_score_gemma":0.0042127087,"teacher_disagreement_score":0.008441387,"about_ca_system_score_codex":0.0007641409,"about_ca_system_score_gemma":0.00080305024,"threshold_uncertainty_score":0.02823925},"labels":[],"label_agreement":null},{"id":"W4387023385","doi":"10.2991/978-94-6463-246-0_41","title":"Research on Current Situation of Pharmaceutical Industry in Chinese Stock Market Through Stock Price Information","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in economics, business and management research/Advances in Economics, Business and Management Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Stock market; Business; Stock (firearms); Stock market bubble; Stock price; Market maker; Financial economics; Industrial organization; Economics; Engineering; Geography","score_opus":0.10763813895987151,"score_gpt":0.3771825173262665,"score_spread":0.269544378366395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387023385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6141238,0.13754529,0.0064131566,0.010187352,0.00057506165,0.00012588581,0.0039696135,0.00022366256,0.2268361],"genre_scores_gemma":[0.8696718,0.094282806,0.003297409,0.00055612955,0.00074087235,0.000029626868,0.0031717978,0.000014519042,0.028235175],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996886,0.000021497694,0.000025006491,0.0000427051,0.00019018157,0.000031931308],"domain_scores_gemma":[0.99953926,0.000116431016,0.000102693775,0.000016072021,0.00018742018,0.000038078935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064324285,0.00026794456,0.0001950609,0.0030245201,0.00035389763,0.0014775982,0.00034834846,0.0002855713,0.00319832],"category_scores_gemma":[0.0010526197,0.0001072763,0.00024594003,0.0059476234,0.0002935105,0.002412943,0.00025234162,0.0002689799,0.00043604273],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007551538,0.00008541401,0.24925108,0.0011262619,0.00009114456,0.0007700527,0.0023010585,0.0034326683,0.0031921847,0.04180859,0.036354143,0.66151184],"study_design_scores_gemma":[0.000015426833,0.00016782944,0.81255,0.00057714625,0.00018774866,0.0006985079,0.0025975634,0.020408848,0.0037505464,0.0152790565,0.14368302,0.000084258776],"about_ca_topic_score_codex":0.021599926,"about_ca_topic_score_gemma":0.019377131,"teacher_disagreement_score":0.021599926,"about_ca_system_score_codex":0.0016218642,"about_ca_system_score_gemma":0.0013641845,"threshold_uncertainty_score":0.042948365},"labels":[],"label_agreement":null},{"id":"W4387121483","doi":"10.2139/ssrn.4587326","title":"Why Do Insiders Sell Stocks after Receiving Options?","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Business; Finance","score_opus":0.02988520320958056,"score_gpt":0.23023242620529846,"score_spread":0.2003472229957179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387121483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9265945,0.0021630193,0.0029247191,0.0110193165,0.00025623525,0.00002537162,0.00034279007,0.00009842646,0.056575578],"genre_scores_gemma":[0.9870199,0.00072460115,0.0004407249,0.0008404819,0.00022043129,0.0000052957234,0.000115551324,0.000030889256,0.010602156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996289,0.000056714733,0.00002134247,0.00006761285,0.00012045043,0.000104936575],"domain_scores_gemma":[0.99244845,0.0031828566,0.0024892096,0.0005612745,0.00063738925,0.0006808554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012179259,0.00019206114,0.0003935572,0.00033780676,0.000502626,0.002786075,0.0004589788,0.0018499056,0.014090311],"category_scores_gemma":[0.011830215,0.00021261633,0.00027504328,0.00032778454,0.0011154494,0.0039170315,0.00040462826,0.001316297,0.0030231017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020961454,0.0009002553,0.5007196,0.00048021626,0.00042984774,0.003190845,0.0058934847,0.0019586068,0.016215015,0.15012781,0.041259117,0.27672905],"study_design_scores_gemma":[0.0003907364,0.00095743575,0.56641275,0.00044449526,0.0004917356,0.0049116286,0.020773998,0.011529819,0.019135654,0.30734745,0.06734671,0.00025756023],"about_ca_topic_score_codex":0.0017510318,"about_ca_topic_score_gemma":0.0020123501,"teacher_disagreement_score":0.014090311,"about_ca_system_score_codex":0.00037396653,"about_ca_system_score_gemma":0.0003142393,"threshold_uncertainty_score":0.047136724},"labels":[],"label_agreement":null},{"id":"W4387162402","doi":"10.1093/rof/rfad033","title":"Why momentum concentrates among overvalued stocks?","year":2023,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Momentum (technical analysis); Economics; Trading strategy; Financial economics; Anomaly (physics); Econometrics; Profit (economics); Monetary economics; Physics; Microeconomics","score_opus":0.04504382394828642,"score_gpt":0.23232682052865752,"score_spread":0.18728299658037112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387162402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9725839,0.010680918,0.0036548632,0.002402731,0.00007982026,0.000009192877,0.00012691501,0.000030674186,0.010431102],"genre_scores_gemma":[0.996932,0.0020873295,0.00023552263,0.00007393704,0.00008299101,0.000001285656,0.000030499756,0.000004534097,0.000551932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975175,0.000046964782,0.000013239447,0.00004896109,0.000088965295,0.00005013842],"domain_scores_gemma":[0.99796474,0.00063400227,0.000876489,0.00007179218,0.00030008671,0.00015288506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078120903,0.00013405981,0.00031420364,0.001150346,0.00018951781,0.0018914272,0.0002188739,0.00035123146,0.002030561],"category_scores_gemma":[0.0050230324,0.00008833206,0.00012932328,0.0015849778,0.0005789475,0.001385893,0.00038566522,0.0003539454,0.00023439358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082950253,0.000108452965,0.5248386,0.00047007093,0.0004672199,0.0017600891,0.0011797638,0.0038703596,0.010868081,0.0757216,0.008352442,0.3715338],"study_design_scores_gemma":[0.000053506617,0.00018646083,0.8630209,0.0002627158,0.00018905809,0.0017416258,0.0014773348,0.008171734,0.0028531079,0.10466563,0.017335972,0.000041908002],"about_ca_topic_score_codex":0.0013866025,"about_ca_topic_score_gemma":0.0012835573,"teacher_disagreement_score":0.002030561,"about_ca_system_score_codex":0.00038330586,"about_ca_system_score_gemma":0.00024500853,"threshold_uncertainty_score":0.0067928433},"labels":[],"label_agreement":null},{"id":"W4387197565","doi":"10.2139/ssrn.4567085","title":"Inflation Risk, Ambiguity, and the Cross-Section of Stock Returns","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; Bank of Canada","funders":"","keywords":"Ambiguity; Stock (firearms); Economics; Section (typography); Financial economics; Monetary economics; Business; Engineering; Computer science","score_opus":0.0190630659550513,"score_gpt":0.23615407498581656,"score_spread":0.21709100903076525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387197565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98973,0.0019782567,0.0039132666,0.000880721,0.000026079873,0.0000061214105,0.00009942898,0.000026506847,0.0033396357],"genre_scores_gemma":[0.9986123,0.0004521139,0.00016754719,0.00003618472,0.00005272815,0.0000019049695,0.00006140196,0.000005982291,0.00060987636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952745,0.00017717153,0.00004799975,0.000078794204,0.00008976108,0.00007879503],"domain_scores_gemma":[0.9622581,0.02889611,0.005637556,0.0011760504,0.00066510634,0.0013671383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039295126,0.0003105039,0.0005341382,0.0012741624,0.00030542872,0.0029817785,0.00041950314,0.0015385037,0.0041666953],"category_scores_gemma":[0.028993763,0.00040332042,0.0005453333,0.0010743109,0.0008413173,0.0025487791,0.0012514824,0.0015539519,0.00058810407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008541576,0.00026666015,0.87954414,0.00009003038,0.00086087896,0.0011210572,0.0007177804,0.036132734,0.002127551,0.04634824,0.0013112111,0.030625597],"study_design_scores_gemma":[0.00005180699,0.000256593,0.78272134,0.00006889135,0.0003285142,0.00088249834,0.00059566,0.09140736,0.0007347423,0.12185068,0.0009883876,0.00011343672],"about_ca_topic_score_codex":0.0016064781,"about_ca_topic_score_gemma":0.001505456,"teacher_disagreement_score":0.0041666953,"about_ca_system_score_codex":0.00042089148,"about_ca_system_score_gemma":0.00025723616,"threshold_uncertainty_score":0.020781517},"labels":[],"label_agreement":null},{"id":"W4387223121","doi":"10.1016/j.ijforecast.2023.09.001","title":"The profitability of lead–lag arbitrage at high frequency","year":2023,"lang":"en","type":"article","venue":"International Journal of Forecasting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université de Montréal","funders":"","keywords":"Statistical arbitrage; Lag; Lagging; Predictability; Arbitrage; High-frequency trading; Profitability index; Econometrics; Trading strategy; Lead–lag compensator; Price discovery; Pairs trade; Profit (economics); Lead (geology); Order (exchange); Algorithmic trading; Economics; Computer science; Financial economics; Arbitrage pricing theory; Capital asset pricing model; Risk arbitrage; Microeconomics; Alternative trading system; Statistics; Finance; Futures contract; Mathematics","score_opus":0.059444284436149714,"score_gpt":0.2452565094830188,"score_spread":0.1858122250468691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387223121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887096,0.00050005416,0.0037793133,0.0010298846,0.000042549662,0.000004324518,0.00006247391,0.00006112222,0.0058106994],"genre_scores_gemma":[0.999597,0.00003732201,0.000100758276,0.000008585838,0.000022969882,5.157308e-7,0.000014405159,0.0000033199517,0.00021516325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955195,0.00010525422,0.000025349627,0.00006524528,0.00013191655,0.00012026417],"domain_scores_gemma":[0.9794645,0.016616771,0.0017429835,0.00061664,0.00093434623,0.00062471256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014800817,0.00017579534,0.000400769,0.0008121329,0.00050788897,0.002083653,0.0004451467,0.0013687523,0.004459249],"category_scores_gemma":[0.023705665,0.00020803142,0.00018571454,0.0005565324,0.0007424216,0.0027914802,0.0005782967,0.001095416,0.0004268224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006344622,0.0009240148,0.26780167,0.0003389403,0.000280497,0.006233627,0.00087351655,0.2808796,0.04717333,0.23799734,0.01260909,0.13854377],"study_design_scores_gemma":[0.00019328861,0.0005930531,0.109346665,0.00004305947,0.00013441574,0.0021287603,0.0006894991,0.7332562,0.009340397,0.14261515,0.0015598484,0.00009971873],"about_ca_topic_score_codex":0.0009668137,"about_ca_topic_score_gemma":0.0006860237,"teacher_disagreement_score":0.004459249,"about_ca_system_score_codex":0.0005671957,"about_ca_system_score_gemma":0.0004099438,"threshold_uncertainty_score":0.014917731},"labels":[],"label_agreement":null},{"id":"W4387250689","doi":"10.2139/ssrn.4572588","title":"Evaluating the Impact of Portfolio Mandates","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Portfolio; Business; Actuarial science; Finance","score_opus":0.05286723096503181,"score_gpt":0.31592867273809094,"score_spread":0.2630614417730591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387250689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99110174,0.00035241165,0.0013668686,0.0007002028,0.000034054498,0.00004765654,0.00031733612,0.000028082495,0.0060516545],"genre_scores_gemma":[0.99859244,0.000078087854,0.00046556475,0.000036794358,0.000017509426,0.000020580268,0.00012882089,0.000004837936,0.0006553192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99380374,0.0037335295,0.000287264,0.0005311177,0.00088787416,0.0007564545],"domain_scores_gemma":[0.7877443,0.18712753,0.0138751045,0.003406087,0.0043331487,0.0035137723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016484488,0.00080250716,0.0009122155,0.0010416697,0.00054312404,0.002422644,0.0012673656,0.0021951757,0.008003259],"category_scores_gemma":[0.1143722,0.0004020222,0.0006495629,0.0010967321,0.0010729011,0.0026256882,0.0011661041,0.0026265176,0.000601205],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018435843,0.0065033785,0.25652128,0.000608984,0.0012438251,0.00078513636,0.0003224082,0.55273557,0.004049159,0.042312145,0.006069112,0.11041316],"study_design_scores_gemma":[0.0020188761,0.0154955,0.16965508,0.0001543918,0.0015667848,0.00026001057,0.0014039816,0.7535581,0.0076690507,0.042402297,0.0056929677,0.000122896],"about_ca_topic_score_codex":0.004839332,"about_ca_topic_score_gemma":0.0056753703,"teacher_disagreement_score":0.016484488,"about_ca_system_score_codex":0.002627391,"about_ca_system_score_gemma":0.0023627891,"threshold_uncertainty_score":0.0871793},"labels":[],"label_agreement":null},{"id":"W4387270774","doi":"10.2139/ssrn.4589720","title":"Look Behind the Curtain: The Direct and Indirect Impact of Non-Cognitive Skills on Stock Market Participation","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Iron Curtain; Stock market; Cognition; Stock (firearms); Business; Psychology; Engineering; Political science; Mechanical engineering; History; Politics","score_opus":0.026364149685926135,"score_gpt":0.2733927435187458,"score_spread":0.2470285938328197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387270774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911504,0.0003331922,0.0002117947,0.0011221069,0.000022463799,0.0000069070247,0.00030082956,0.000013866813,0.00683845],"genre_scores_gemma":[0.9970229,0.00008237696,0.000060369803,0.00016092458,0.000033199543,0.0000051122606,0.00009188465,0.000008442336,0.0025347963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992275,0.00023323238,0.000028636807,0.00015057625,0.000114911905,0.0002451552],"domain_scores_gemma":[0.9631352,0.023176584,0.0037948326,0.001621952,0.00081529573,0.0074561066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013745859,0.0003302012,0.0005829575,0.0005543158,0.00049281213,0.0026161713,0.0007308442,0.0018519263,0.024669552],"category_scores_gemma":[0.019808944,0.00029719246,0.0005148803,0.00068192877,0.001091213,0.0014695522,0.0020283223,0.0019323261,0.002291217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019242183,0.0014682028,0.9507276,0.00013751531,0.0005221952,0.00048750665,0.0021216238,0.001201506,0.003223919,0.0040487186,0.0025675748,0.031569455],"study_design_scores_gemma":[0.000064635016,0.00023038888,0.9917441,0.000028906512,0.00017447295,0.00005756581,0.00082959415,0.0009131578,0.00041356825,0.004744415,0.0007834517,0.000015702684],"about_ca_topic_score_codex":0.008678898,"about_ca_topic_score_gemma":0.010743471,"teacher_disagreement_score":0.024669552,"about_ca_system_score_codex":0.00038320172,"about_ca_system_score_gemma":0.00085716037,"threshold_uncertainty_score":0.082527876},"labels":[],"label_agreement":null},{"id":"W4387270800","doi":"10.2139/ssrn.4589666","title":"The Impact of Position Limits on the Relationship between Option Trading and Stock Performance: Evidence from the Spy Pilot Program","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Stock (firearms); Position (finance); Business; Stock options; Financial economics; Economics; Finance; Engineering; Mechanical engineering","score_opus":0.1603609035385762,"score_gpt":0.3102338041567055,"score_spread":0.14987290061812927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387270800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99844295,0.000043257503,0.000053433105,0.00019612796,0.0000041269486,0.0000029112382,0.00008422746,0.000005691948,0.0011671437],"genre_scores_gemma":[0.9994885,0.00003742495,0.000029485003,0.00002480283,0.000008711163,0.0000035096498,0.00009372835,0.0000027918088,0.00031112254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999074,0.00040601025,0.000052882282,0.0000985765,0.00024000958,0.00012854875],"domain_scores_gemma":[0.9432919,0.034666535,0.013463152,0.0027846764,0.0016371823,0.004156509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030584417,0.00020001538,0.00035396937,0.00047952135,0.0004447743,0.0012988849,0.0006158703,0.001040831,0.0040143253],"category_scores_gemma":[0.03246557,0.00017958482,0.00019249602,0.00059335487,0.001136045,0.0014224092,0.0010013436,0.0014662286,0.0006030383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0076204906,0.004366131,0.9336541,0.000056735462,0.00017454101,0.0006296556,0.0008279407,0.002032193,0.0030409605,0.0018747648,0.0014297458,0.044292714],"study_design_scores_gemma":[0.00011867073,0.0022997716,0.991293,0.00001292286,0.00004475152,0.00012029147,0.00055955513,0.00240648,0.00068056304,0.0017714656,0.00067879993,0.000013777018],"about_ca_topic_score_codex":0.0033878363,"about_ca_topic_score_gemma":0.003744403,"teacher_disagreement_score":0.0040143253,"about_ca_system_score_codex":0.00031209408,"about_ca_system_score_gemma":0.0003953115,"threshold_uncertainty_score":0.016174793},"labels":[],"label_agreement":null},{"id":"W4387394822","doi":"10.1016/j.pacfin.2023.102172","title":"Technical trading rules, loss avoidance, and the business cycle","year":2023,"lang":"en","type":"article","venue":"Pacific-Basin Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Auckland University of Technology, New Zealand","keywords":"Trading strategy; Equity (law); Recession; Pairs trade; Investment strategy; Business cycle; Economics; Technical analysis; Monetary economics; Business; Trend following; Sample (material); Investment (military); Econometrics; Financial economics; Alternative trading system; Algorithmic trading; Macroeconomics","score_opus":0.021131449968453987,"score_gpt":0.2095334933993531,"score_spread":0.1884020434308991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387394822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850021,0.00042139622,0.0062246616,0.000114148184,0.000009752318,0.000012658746,0.000046584628,0.000030481708,0.008138261],"genre_scores_gemma":[0.9991198,0.00007053019,0.00039776266,0.000015602676,0.0000059859312,0.0000020196865,0.000020962985,0.0000030522424,0.00036421383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972564,0.00006862427,0.000029046234,0.00004836118,0.0000757708,0.00005252195],"domain_scores_gemma":[0.9923758,0.003014686,0.0037740942,0.00040479444,0.00022422022,0.00020645243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00103046,0.00023739976,0.0002694288,0.0003500319,0.00017210963,0.0014811928,0.00023583925,0.00047316667,0.0017440262],"category_scores_gemma":[0.010152508,0.00010264362,0.00025991173,0.00035369207,0.0005869785,0.00072196824,0.0003282624,0.0003793587,0.0002186232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012145616,0.0007314074,0.5581435,0.00022980869,0.00060035026,0.0009528622,0.00028712285,0.14486648,0.017899122,0.06606159,0.0023111138,0.20670207],"study_design_scores_gemma":[0.00014178597,0.0011395373,0.52859277,0.000068889494,0.00039075277,0.0011510454,0.00028344287,0.3445378,0.0067271986,0.11292211,0.003935299,0.000109348584],"about_ca_topic_score_codex":0.0006681902,"about_ca_topic_score_gemma":0.00073989085,"teacher_disagreement_score":0.0017440262,"about_ca_system_score_codex":0.00024460754,"about_ca_system_score_gemma":0.00025835988,"threshold_uncertainty_score":0.005834341},"labels":[],"label_agreement":null},{"id":"W4387397688","doi":"10.1111/jbfa.12758","title":"The evolution of corporate twitter usage","year":2023,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Carleton University","funders":"","keywords":"Social media; Business; Stock (firearms); Context (archaeology); Microblogging; Set (abstract data type); Stock market; Marketing; Advertising; Accounting; World Wide Web; Computer science; Engineering","score_opus":0.05536181188257887,"score_gpt":0.22555755991287532,"score_spread":0.17019574803029647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387397688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98154336,0.00038809032,0.00040771381,0.0008199849,0.000041302344,0.000014988848,0.012587084,0.0000644643,0.004132989],"genre_scores_gemma":[0.99005616,0.0002104234,0.00031024715,0.00010045505,0.000066547735,0.000020184518,0.00812116,0.000014700074,0.0011000906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930525,0.00014643208,0.00007488646,0.00015053942,0.00019750024,0.00012528476],"domain_scores_gemma":[0.99271154,0.0020620788,0.002968033,0.0003788682,0.001474947,0.0004045373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075184467,0.00021586832,0.00021277046,0.002814154,0.0003100312,0.0018539538,0.00034841572,0.0005989692,0.0020628641],"category_scores_gemma":[0.006972375,0.0001308268,0.00020234057,0.003430209,0.00024428684,0.0016537997,0.0008844677,0.0006186385,0.0014632829],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009518846,0.000047256577,0.97049797,0.00007563999,0.00005628435,0.00012578879,0.00096051436,0.0008181219,0.0010521903,0.00051858,0.0061898828,0.019562619],"study_design_scores_gemma":[0.0000032520095,0.00004207131,0.9824553,0.00004136572,0.000019544332,0.00017328873,0.0015865422,0.0047201063,0.00082214474,0.0001873866,0.009925508,0.000023518713],"about_ca_topic_score_codex":0.007663873,"about_ca_topic_score_gemma":0.009333435,"teacher_disagreement_score":0.007663873,"about_ca_system_score_codex":0.0004648363,"about_ca_system_score_gemma":0.00019218973,"threshold_uncertainty_score":0.0152385235},"labels":[],"label_agreement":null},{"id":"W4387427999","doi":"10.1007/978-981-99-6441-3_147","title":"Research on the Impact of Macroeconomic Events on the Chinese Stock Market Through the Abnormal Investment Returns","year":2023,"lang":"en","type":"book-chapter","venue":"Applied economics and policy studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Volatility (finance); Stock market; Stock (firearms); China; Economics; Monetary economics; Stock market volatility; Financial economics; Investment (military); Event study; Business","score_opus":0.12143636168812469,"score_gpt":0.33967086017711356,"score_spread":0.21823449848898888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387427999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8829553,0.03293891,0.003356607,0.0036750438,0.00026977845,0.000036789006,0.00089363364,0.00006675798,0.07580715],"genre_scores_gemma":[0.96478534,0.026365135,0.00049586047,0.00014477492,0.0002755022,0.000008352693,0.0004417658,0.000009051799,0.0074743005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986255,0.000019911877,0.000012546174,0.000025541523,0.000049678463,0.00002973736],"domain_scores_gemma":[0.9993162,0.00031727625,0.00017138815,0.000027778678,0.00011185875,0.00005546162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051905966,0.00033200264,0.0002443332,0.0013116116,0.0002892593,0.0015038713,0.00037129712,0.00034022576,0.002934667],"category_scores_gemma":[0.0013740787,0.00015363621,0.00035401154,0.0027836596,0.00047542132,0.0016725775,0.00030582384,0.00061190955,0.0001811367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019556342,0.00020706697,0.55786794,0.0009854384,0.0005340035,0.00153645,0.0015904753,0.015467531,0.0044388394,0.14778599,0.013845503,0.25554517],"study_design_scores_gemma":[0.000013893626,0.00012693803,0.9189896,0.00016290836,0.00044455196,0.00024948103,0.0013929667,0.025505705,0.0017681638,0.029567525,0.02172964,0.000048609967],"about_ca_topic_score_codex":0.02225867,"about_ca_topic_score_gemma":0.022712538,"teacher_disagreement_score":0.02225867,"about_ca_system_score_codex":0.0011835722,"about_ca_system_score_gemma":0.0009925503,"threshold_uncertainty_score":0.044258237},"labels":[],"label_agreement":null},{"id":"W4387465596","doi":"10.2139/ssrn.4596195","title":"Systemic Tail Risk and Future Return: An Investigation from the Perspectives of Investor Sentiment and Short-Selling Constraints","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University; University of Windsor","funders":"","keywords":"Systemic risk; Financial economics; Business; Sentiment analysis; Econometrics; Economics; Computer science; Actuarial science; Monetary economics; Financial crisis; Artificial intelligence; Keynesian economics","score_opus":0.02385778527627889,"score_gpt":0.21891738036833114,"score_spread":0.19505959509205226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387465596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9013407,0.006903829,0.057447556,0.0049262894,0.000104865896,0.000041135532,0.0002500259,0.000076452015,0.028908992],"genre_scores_gemma":[0.99474394,0.0013688878,0.00072642387,0.00008860227,0.00013136303,0.0000070496835,0.000044037544,0.000012986994,0.0028767523],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999716,0.00008270478,0.000018198765,0.000058589056,0.000052695086,0.00007177714],"domain_scores_gemma":[0.99134,0.005401365,0.0019298405,0.00027559523,0.00047522178,0.0005780303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002287541,0.00047112833,0.0008540603,0.0006483105,0.00039041904,0.0032997222,0.00068543974,0.0020322981,0.005160996],"category_scores_gemma":[0.010491319,0.0003590348,0.0006743666,0.000763548,0.0012738487,0.0036448436,0.0009979393,0.002247228,0.00025664308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054876786,0.0002938501,0.08119889,0.0003559957,0.00025778945,0.0020323272,0.00089518685,0.06257651,0.0067797587,0.79155594,0.0038022317,0.049702805],"study_design_scores_gemma":[0.000073643576,0.00042995857,0.08548041,0.00013732241,0.00024431947,0.00076887145,0.0006698457,0.2799414,0.0011391237,0.6274961,0.0035141008,0.000104869054],"about_ca_topic_score_codex":0.0012825094,"about_ca_topic_score_gemma":0.0012823433,"teacher_disagreement_score":0.005160996,"about_ca_system_score_codex":0.0007910406,"about_ca_system_score_gemma":0.0006255184,"threshold_uncertainty_score":0.0172652},"labels":[],"label_agreement":null},{"id":"W4387545015","doi":"10.2139/ssrn.4572998","title":"Intermediary Asset Pricing with Liquidity Provision","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Transaction cost; Stock (firearms); Business; Economics; Database transaction; Financial economics; Monetary economics; Finance; Computer science; Database; Engineering","score_opus":0.01659752374966074,"score_gpt":0.2139465705414766,"score_spread":0.19734904679181586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387545015","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43133786,0.0018187459,0.446861,0.0058721732,0.00041042705,0.00017295624,0.0003774741,0.0013916133,0.11175784],"genre_scores_gemma":[0.9855186,0.00017303332,0.0051877806,0.00005926934,0.00013695634,0.00001831795,0.0000346379,0.00003184976,0.008839503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99868125,0.00063716964,0.00006050194,0.0001896279,0.00015498012,0.0002764237],"domain_scores_gemma":[0.9942234,0.0029050682,0.0009345721,0.0008270033,0.00034709976,0.00076284615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023546787,0.0007096393,0.0015575145,0.00075551146,0.0007195954,0.0053307237,0.0016510746,0.0036869121,0.021618163],"category_scores_gemma":[0.015201535,0.00056480954,0.0010299844,0.0010819446,0.0023125822,0.006631805,0.0024803635,0.0032869768,0.0018392359],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091014087,0.00027428663,0.00237097,0.00013221339,0.00006632365,0.0014098991,0.00017824968,0.045440022,0.0021832872,0.9224846,0.0039819796,0.020567993],"study_design_scores_gemma":[0.00025005796,0.00020322434,0.0009739208,0.000024346546,0.0000880594,0.0004859076,0.00010295776,0.35124442,0.0013836875,0.6435147,0.0016912315,0.000037482],"about_ca_topic_score_codex":0.0008625922,"about_ca_topic_score_gemma":0.00050959614,"teacher_disagreement_score":0.021618163,"about_ca_system_score_codex":0.0008947976,"about_ca_system_score_gemma":0.0011031722,"threshold_uncertainty_score":0.072319925},"labels":[],"label_agreement":null},{"id":"W4387572891","doi":"10.3390/jrfm16100442","title":"The Launch of a Night Trading Session and Currency Futures Market Liquidity: Evidence from the Thailand Futures Exchange","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kasetsart University","keywords":"Futures contract; Market liquidity; Session (web analytics); Electronic trading; Open outcry; Business; Algorithmic trading; High-frequency trading; Currency; Financial economics; Monetary economics; Economics; Alternative trading system; Finance; Advertising","score_opus":0.026844241825466946,"score_gpt":0.22707553003732553,"score_spread":0.2002312882118586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387572891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99767655,0.00030653816,0.000060336486,0.00016172402,0.000011576731,0.0000044351086,0.00022227025,0.000003684567,0.0015529755],"genre_scores_gemma":[0.9983841,0.0002881743,0.000044732235,0.00005641488,0.00004789503,0.0000036401002,0.0004657047,0.000004928255,0.0007044087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928063,0.00025836192,0.00006270919,0.00008296312,0.00018364108,0.00013176032],"domain_scores_gemma":[0.98422885,0.00605624,0.0068847453,0.00045017267,0.0006033175,0.0017766714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015985577,0.00019342681,0.00028042585,0.00060508726,0.00047956183,0.0020001372,0.00038440656,0.0006486854,0.004230308],"category_scores_gemma":[0.008027053,0.00017441256,0.00044820193,0.00080230756,0.00066045596,0.0014747946,0.0012321497,0.0011172098,0.0005311724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018677223,0.0004668177,0.97817993,0.00010832937,0.00024644448,0.0008879044,0.001878724,0.00057353795,0.000728853,0.0007582472,0.0015178878,0.012785615],"study_design_scores_gemma":[0.000035371653,0.00027766745,0.9941233,0.000036253103,0.000084901716,0.00012648401,0.0023335319,0.0007151835,0.0002672011,0.00026790227,0.0017089361,0.000023290084],"about_ca_topic_score_codex":0.007186453,"about_ca_topic_score_gemma":0.009740312,"teacher_disagreement_score":0.007186453,"about_ca_system_score_codex":0.00035695857,"about_ca_system_score_gemma":0.00043138245,"threshold_uncertainty_score":0.0142892},"labels":[],"label_agreement":null},{"id":"W4387606348","doi":"10.1016/j.jebo.2023.09.029","title":"Heterogeneous awareness in financial markets","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Asset (computer security); Order (exchange); Incentive; Economics; Stochastic game; Microeconomics; Value (mathematics); Variance (accounting); Financial market; Monetary economics; Business; Financial economics; Finance","score_opus":0.03204536910779466,"score_gpt":0.24141766784155091,"score_spread":0.20937229873375626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387606348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95116127,0.00034380227,0.018808749,0.002125615,0.000036400423,0.000019553436,0.000063593565,0.00005739034,0.027383737],"genre_scores_gemma":[0.9991912,0.00003439144,0.00036616257,0.00003742156,0.000024914681,0.0000034534953,0.000009412873,0.000003544058,0.00032945437],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999212,0.00030632326,0.000033698434,0.0001722063,0.00013052666,0.00014510078],"domain_scores_gemma":[0.9765885,0.017713478,0.0019422288,0.0016950746,0.0008113295,0.0012494746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020601146,0.00017597464,0.0006074729,0.0010707934,0.0007652821,0.0035471204,0.0004887419,0.0014455011,0.005437986],"category_scores_gemma":[0.025048556,0.00052204786,0.00030881612,0.0005836558,0.0019837136,0.00734276,0.0015607502,0.0017857264,0.0002717545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006321804,0.0006224126,0.049108885,0.00011685757,0.00014452403,0.0006007601,0.0037130578,0.014941145,0.0046025626,0.8754875,0.0025078037,0.04752235],"study_design_scores_gemma":[0.00007262595,0.00010008494,0.032555126,0.00001971094,0.00008569115,0.0003086381,0.0011363076,0.045593742,0.0007497707,0.918095,0.001243751,0.00003963738],"about_ca_topic_score_codex":0.0007278992,"about_ca_topic_score_gemma":0.0003598608,"teacher_disagreement_score":0.005437986,"about_ca_system_score_codex":0.00053289934,"about_ca_system_score_gemma":0.00034168243,"threshold_uncertainty_score":0.018191934},"labels":[],"label_agreement":null},{"id":"W4387641276","doi":"10.1016/j.najef.2023.102025","title":"Are banks better money doctors? An analysis of mutual fund flows of bank and non-bank funds using Canadian data","year":2023,"lang":"en","type":"article","venue":"The North American Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Fund of funds; Closed-end fund; Open-end fund; Mutual fund; Business; Passive management; Finance; Global assets under management; Income fund; Stable value fund; Financial system; Equity (law); Institutional investor; Corporate governance; Market liquidity","score_opus":0.06435190091083354,"score_gpt":0.24388441265213145,"score_spread":0.17953251174129792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387641276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94140494,0.002711622,0.00064556685,0.0023607898,0.000039559563,0.00012190469,0.04585987,0.00006096755,0.006794777],"genre_scores_gemma":[0.96976477,0.00155099,0.0008661951,0.00018401898,0.000030571795,0.000047629645,0.024641886,0.000034858494,0.0028790103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99719644,0.0003162055,0.00016324029,0.00030441943,0.0009881654,0.0010315038],"domain_scores_gemma":[0.9816425,0.005141883,0.0034460004,0.00052580866,0.007611392,0.0016324391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037537569,0.00058973493,0.00081826997,0.0078998925,0.0023337845,0.003688552,0.001495043,0.0006898735,0.0030518859],"category_scores_gemma":[0.025319563,0.00047053548,0.00100268,0.016153662,0.00076862535,0.0014849346,0.0011634794,0.0012659886,0.00037297673],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004382058,0.000091085676,0.9487814,0.00020816621,0.00032517876,0.00027200943,0.0022775105,0.0045547755,0.00025955346,0.0055663,0.017975906,0.019249922],"study_design_scores_gemma":[0.0000537114,0.000026289026,0.96969384,0.000114935414,0.00018971019,0.000072822906,0.0029682799,0.009300824,0.00036293129,0.00039300468,0.016770056,0.000053672848],"about_ca_topic_score_codex":0.99433726,"about_ca_topic_score_gemma":0.9949138,"teacher_disagreement_score":0.035574928,"about_ca_system_score_codex":0.035574928,"about_ca_system_score_gemma":0.041571625,"threshold_uncertainty_score":0.25811535},"labels":[],"label_agreement":null},{"id":"W4387651668","doi":"10.61190/fsr.v26i2.3307","title":"Bond laddering and bond indexing","year":2023,"lang":"en","type":"article","venue":"Financial Services Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Laddering; Bond; Portfolio; Term (time); Economics; Financial economics; Search engine indexing; Actuarial science; Business; Finance; Computer science; Artificial intelligence","score_opus":0.02998127719610385,"score_gpt":0.23309008441671603,"score_spread":0.20310880722061217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387651668","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08275424,0.102136694,0.10567232,0.007893673,0.00096943066,0.00025253152,0.00046562168,0.00027919307,0.69957626],"genre_scores_gemma":[0.8217521,0.05514425,0.040620137,0.00163293,0.0013555333,0.00019251676,0.00040155638,0.000107763306,0.07879311],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99862194,0.0002815489,0.000106524065,0.000198572,0.0006072471,0.00018418227],"domain_scores_gemma":[0.99718875,0.000877426,0.0007320287,0.0003508387,0.0005708011,0.0002801743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021342582,0.00030746622,0.00040505722,0.0020591356,0.00068120094,0.002818608,0.00087816635,0.0014066931,0.014873685],"category_scores_gemma":[0.0075199567,0.00017690717,0.00039819675,0.0034091724,0.0026824547,0.004907869,0.0011184051,0.0017840593,0.0023759142],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046375622,0.000047619902,0.0009232684,0.00017984645,0.000009745614,0.000062921485,0.0001191392,0.001049562,0.00060281047,0.8535163,0.004677304,0.13876523],"study_design_scores_gemma":[0.00003661915,0.00015403394,0.0035201537,0.00034015963,0.000018500481,0.0005659131,0.00024497486,0.0039103045,0.001452819,0.85235596,0.13736726,0.000033305725],"about_ca_topic_score_codex":0.0013181907,"about_ca_topic_score_gemma":0.00090216805,"teacher_disagreement_score":0.014873685,"about_ca_system_score_codex":0.0013731297,"about_ca_system_score_gemma":0.0010664891,"threshold_uncertainty_score":0.04975742},"labels":[],"label_agreement":null},{"id":"W4387738418","doi":"10.3905/pa.2023.pa571","title":"Practical Applications of Portfolio Tilts Using Views on Macroeconomic Regimes","year":2023,"lang":"en","type":"article","venue":"Practical Applications","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"CARE Canada; University of Toronto","funders":"","keywords":"Portfolio; Asset allocation; Economics; Asset (computer security); Capital asset pricing model; Financial economics; Investment (military); Computer science; Political science; Politics","score_opus":0.1372316752340377,"score_gpt":0.3524907909010758,"score_spread":0.21525911566703812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387738418","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034514993,0.0050295726,0.84263563,0.04314584,0.0017649053,0.00011697808,0.0009260187,0.00073735334,0.07112865],"genre_scores_gemma":[0.6189724,0.0055445656,0.3532834,0.003204065,0.0028828653,0.00023891631,0.00064319494,0.00037781202,0.014852736],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99551505,0.0030249178,0.0002522382,0.00033983527,0.00075342023,0.00011459901],"domain_scores_gemma":[0.9822121,0.014256462,0.000863155,0.0012361743,0.001157796,0.00027425005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009018174,0.0010781089,0.0005898898,0.0019985647,0.00072495907,0.0044500884,0.000999087,0.0015714108,0.016421229],"category_scores_gemma":[0.033480134,0.0005966503,0.0011896685,0.002240945,0.001952571,0.0084338235,0.0031063994,0.0040107085,0.0016218385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017661971,0.00008149303,0.0073707863,0.00016816855,0.00011086012,0.00025239264,0.001884879,0.012693633,0.0010840503,0.6866894,0.02636527,0.2631224],"study_design_scores_gemma":[0.00003581591,0.000053568387,0.0030870477,0.00015159186,0.00003971203,0.00012493807,0.0007219532,0.063290134,0.0008720706,0.89078635,0.04076045,0.0000763903],"about_ca_topic_score_codex":0.002692006,"about_ca_topic_score_gemma":0.0047877636,"teacher_disagreement_score":0.016421229,"about_ca_system_score_codex":0.0016715936,"about_ca_system_score_gemma":0.00075910974,"threshold_uncertainty_score":0.0549345},"labels":[],"label_agreement":null},{"id":"W4387859420","doi":"10.1016/j.frl.2023.104641","title":"Realized semibetas and international stock return predictability","year":2023,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Predictability; Downside risk; Stock (firearms); Financial economics; Economics; Risk premium; Econometrics; Stock market; Risk–return spectrum; Monetary economics; Geography; Mathematics; Statistics","score_opus":0.12369287668571997,"score_gpt":0.32641038515407145,"score_spread":0.20271750846835146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387859420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96703666,0.00033590468,0.02769474,0.0006923543,0.000044596898,0.0000041550866,0.00012654798,0.00018384689,0.00388117],"genre_scores_gemma":[0.99901223,0.0000611165,0.0003322725,0.000016869424,0.000027397035,0.0000019478302,0.000048711736,0.000016883845,0.00048254273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997265,0.000071569426,0.000023235898,0.000059145572,0.00006235565,0.000057263886],"domain_scores_gemma":[0.9864201,0.009179586,0.0020710586,0.0008775869,0.00071086467,0.0007408864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002518393,0.00037863807,0.00056783773,0.00095169886,0.00023126685,0.0023305747,0.0004570233,0.0005168476,0.0028112894],"category_scores_gemma":[0.019872075,0.00036781916,0.00039499672,0.00054042845,0.0011665563,0.0024045294,0.0007925017,0.0013041054,0.00035889415],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012870877,0.0002716115,0.21353635,0.00018334134,0.0003686492,0.0017743992,0.0011428947,0.27618146,0.012139045,0.42252952,0.0051885964,0.06539699],"study_design_scores_gemma":[0.000042079882,0.00012290187,0.090955354,0.000032981883,0.00004328574,0.0004392714,0.00020470395,0.6239512,0.0010084562,0.28259662,0.00052479777,0.00007834426],"about_ca_topic_score_codex":0.00092440046,"about_ca_topic_score_gemma":0.00063812075,"teacher_disagreement_score":0.0028112894,"about_ca_system_score_codex":0.00049020513,"about_ca_system_score_gemma":0.0003274841,"threshold_uncertainty_score":0.0133187175},"labels":[],"label_agreement":null},{"id":"W4387860013","doi":"10.1016/j.finmar.2023.100867","title":"Private information disclosure in the secondary loan market and its impact on equity market trading costs","year":2023,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Business; Equity (law); Secondary market; Private information retrieval; Finance; Monetary economics; Economics; Stock exchange","score_opus":0.02296900357559943,"score_gpt":0.2575834734822639,"score_spread":0.23461446990666446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387860013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981926,0.0012964852,0.0019708509,0.0051570768,0.00006302318,0.000025890007,0.000333505,0.000056054192,0.009171079],"genre_scores_gemma":[0.99837875,0.00018472347,0.00006790065,0.00006446526,0.00004898575,0.000002785971,0.000037087662,0.0000055563337,0.0012097139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988456,0.0004125229,0.00007488072,0.00012238868,0.00018319895,0.0003613494],"domain_scores_gemma":[0.8758919,0.0978113,0.01730357,0.0026330822,0.0027345112,0.0036255505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032471654,0.00023864227,0.0009845603,0.0008407848,0.0008163631,0.004999563,0.0007395944,0.0023124667,0.014022073],"category_scores_gemma":[0.05136365,0.0004070365,0.00060338405,0.00101943,0.0018224918,0.003941981,0.0010732159,0.0030961228,0.00060802314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009933416,0.0042294473,0.47185674,0.00055988133,0.0006373577,0.00477641,0.0023491746,0.13953143,0.007047735,0.24818754,0.022265652,0.088625245],"study_design_scores_gemma":[0.0010980131,0.001215279,0.3788984,0.00015538231,0.0008937785,0.001733096,0.0031212065,0.32800657,0.0049254443,0.2741297,0.005589681,0.00023345953],"about_ca_topic_score_codex":0.005990949,"about_ca_topic_score_gemma":0.0044763903,"teacher_disagreement_score":0.014022073,"about_ca_system_score_codex":0.0016168015,"about_ca_system_score_gemma":0.0018547561,"threshold_uncertainty_score":0.046908557},"labels":[],"label_agreement":null},{"id":"W4387937497","doi":"10.1287/mnsc.2021.01767","title":"Optimal Portfolio Choice with Unknown Benchmark Efficiency","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Benchmark (surveying); Portfolio; Computer science; Portfolio optimization; Project portfolio management; Econometrics; Mathematical optimization; Economics; Finance; Mathematics","score_opus":0.02102322545488209,"score_gpt":0.22142687644070552,"score_spread":0.20040365098582344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387937497","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21515071,0.0012915374,0.7664308,0.0018215075,0.000062647734,0.00025980538,0.0003552148,0.00034130225,0.014286428],"genre_scores_gemma":[0.9068433,0.00038721945,0.08894985,0.00020853046,0.000056008754,0.00018180095,0.00031017687,0.000054861262,0.0030081987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956061,0.002715338,0.00020863631,0.0006182542,0.000532486,0.00031905787],"domain_scores_gemma":[0.98563635,0.01076807,0.0011719653,0.0012504737,0.0006327873,0.0005403082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008938145,0.0012947886,0.0024674782,0.0012183958,0.0003814908,0.003132174,0.0014300464,0.0022917052,0.0038062476],"category_scores_gemma":[0.039168783,0.00075098104,0.0008884823,0.0011957621,0.0010548859,0.004630698,0.0021175595,0.0019530561,0.00055101456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051762175,0.0003070858,0.008567485,0.00019329076,0.00028940378,0.0002813214,0.00012745363,0.68633455,0.0017330463,0.162221,0.0038378078,0.13559002],"study_design_scores_gemma":[0.00009145809,0.00016520852,0.001706554,0.000047215504,0.00005253504,0.00006572738,0.000034234858,0.8984744,0.00080956204,0.097459376,0.0010653682,0.000028287444],"about_ca_topic_score_codex":0.0011374836,"about_ca_topic_score_gemma":0.0008256276,"teacher_disagreement_score":0.008938145,"about_ca_system_score_codex":0.0014061594,"about_ca_system_score_gemma":0.0013583597,"threshold_uncertainty_score":0.04727},"labels":[],"label_agreement":null},{"id":"W4387937966","doi":"10.1007/s11156-023-01220-w","title":"The risk of SIN or socially irresponsible stocks","year":2023,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Corporate finance; Sample (material); Corporate social responsibility; Business; Financial economics; Economics; Social responsibility; Actuarial science; Finance; Political science; Law","score_opus":0.06141021617880264,"score_gpt":0.3028130491419639,"score_spread":0.24140283296316123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387937966","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26285693,0.36449337,0.058845755,0.123236015,0.0025712827,0.00004571186,0.0004338576,0.000126402,0.18739066],"genre_scores_gemma":[0.9191215,0.06816785,0.0016001306,0.002251256,0.0027857767,0.00001761219,0.000054407134,0.000016314063,0.005985193],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99886024,0.0004102518,0.00006213809,0.00011140326,0.0004444031,0.00011158179],"domain_scores_gemma":[0.9941823,0.0030341581,0.0015019521,0.00049892766,0.00048406312,0.00029863443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002347746,0.00028263245,0.00044901337,0.0009777611,0.00052391825,0.003088702,0.0005813908,0.0019354996,0.0019841886],"category_scores_gemma":[0.0126438765,0.00014493396,0.0003276068,0.00084623945,0.005829052,0.004140127,0.0013889683,0.002437179,0.00021785371],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057018056,0.00002408997,0.0034262093,0.00017361528,0.00007808635,0.00026983774,0.0003191319,0.0030661377,0.00027431353,0.9407613,0.0063781114,0.045172084],"study_design_scores_gemma":[0.000006572718,0.000020004152,0.0018502519,0.00019649751,0.000019540308,0.0002736791,0.00023753784,0.0011982915,0.00013698492,0.97854304,0.017503707,0.000013955575],"about_ca_topic_score_codex":0.0007959168,"about_ca_topic_score_gemma":0.0010793682,"teacher_disagreement_score":0.003088702,"about_ca_system_score_codex":0.0009047234,"about_ca_system_score_gemma":0.0008842419,"threshold_uncertainty_score":0.012416244},"labels":[],"label_agreement":null},{"id":"W4387986020","doi":"10.2139/ssrn.4586750","title":"The Elasticity of Volatility and Correlation (CEVC) Model: Empirical Evidence and Application in Portfolio Optimization","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Econometrics; Volatility (finance); Economics; Portfolio optimization; Elasticity (physics); Portfolio; Correlation; Financial economics; Mathematics; Physics","score_opus":0.03554554992854011,"score_gpt":0.2545727817943274,"score_spread":0.2190272318657873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387986020","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35819107,0.006376954,0.61101055,0.003462513,0.00027506315,0.00010214481,0.00066442275,0.0005676512,0.019349566],"genre_scores_gemma":[0.9805993,0.0015977039,0.013211508,0.00019985037,0.00014492591,0.00005075224,0.00028980718,0.00007310324,0.0038330345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986253,0.00059844984,0.000070357666,0.00030551368,0.0002276319,0.00017283054],"domain_scores_gemma":[0.98365754,0.013103473,0.0015128101,0.0008588502,0.00055049325,0.0003167527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032715362,0.0008135398,0.0013682384,0.0014837211,0.0005004088,0.0029593166,0.0015791451,0.0022348014,0.0025192231],"category_scores_gemma":[0.020624755,0.000506092,0.0011800578,0.002230874,0.0011355733,0.003366632,0.0013287839,0.002663579,0.0003862933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001439836,0.00010208682,0.021115473,0.00009331463,0.00025168943,0.00021529103,0.00010172054,0.7255857,0.00047888784,0.22461116,0.0024358649,0.024864713],"study_design_scores_gemma":[0.0000199892,0.000031315085,0.0033416366,0.000017383023,0.000050944513,0.00014204514,0.000023541399,0.90201616,0.00016563704,0.09334497,0.00082055666,0.000025754025],"about_ca_topic_score_codex":0.0065259393,"about_ca_topic_score_gemma":0.0021200276,"teacher_disagreement_score":0.0065259393,"about_ca_system_score_codex":0.0011061708,"about_ca_system_score_gemma":0.0012928816,"threshold_uncertainty_score":0.017301738},"labels":[],"label_agreement":null},{"id":"W4388072666","doi":"10.2139/ssrn.4616266","title":"Five Examples of Direct Value Creation and Capture in the Pension Fund Industry","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Pension; Pension fund; Value (mathematics); Actuarial science; Finance; Mathematics; Statistics","score_opus":0.0316561294618175,"score_gpt":0.2380607829172419,"score_spread":0.2064046534554244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388072666","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33361596,0.0025295652,0.06193722,0.0031341384,0.0000904396,0.00020945439,0.00040107593,0.00021921906,0.5978629],"genre_scores_gemma":[0.9359972,0.0010517843,0.017489975,0.0001706543,0.000048815,0.00008796207,0.00017157204,0.000025100026,0.04495697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993568,0.00017520999,0.000025682544,0.00005347038,0.00017270316,0.00021600908],"domain_scores_gemma":[0.9985897,0.0007858073,0.0001458584,0.00015499238,0.000114537994,0.00020912428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007769964,0.0002695033,0.00024019291,0.0018644655,0.002258925,0.0038055354,0.0008253865,0.0029023683,0.013004298],"category_scores_gemma":[0.003152918,0.00019498689,0.00059829146,0.0019967973,0.0020238024,0.002726835,0.002196349,0.001400461,0.0008808798],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007706665,0.00007572416,0.0052316687,0.0000692029,0.000014334573,0.0006435943,0.0014712616,0.001557052,0.0005460257,0.9658567,0.0030665759,0.021390691],"study_design_scores_gemma":[0.0000904705,0.00011431046,0.023625499,0.00023892289,0.000039321556,0.0015313523,0.005287662,0.017391346,0.0024944511,0.85106146,0.098050535,0.000074615855],"about_ca_topic_score_codex":0.0048012533,"about_ca_topic_score_gemma":0.0070736553,"teacher_disagreement_score":0.013004298,"about_ca_system_score_codex":0.0014663201,"about_ca_system_score_gemma":0.0006647412,"threshold_uncertainty_score":0.0435037},"labels":[],"label_agreement":null},{"id":"W4388111427","doi":"10.1093/oso/9780195304213.003.0006","title":"Sentimental Journey: The Illusion of Validity","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Illusion; Nothing; Quarter (Canadian coin); Psychology; Social psychology; Positive economics; Economics; Epistemology; Cognitive psychology; History; Philosophy; Archaeology","score_opus":0.12403493062008576,"score_gpt":0.24660206891981482,"score_spread":0.12256713829972905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388111427","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28064424,0.0070431908,0.017519286,0.0913821,0.0016406632,0.000033202447,0.00026625706,0.00011475416,0.6013564],"genre_scores_gemma":[0.9844785,0.0014563883,0.000961953,0.0034218356,0.0004455942,0.000008285818,0.000051906074,0.000043637323,0.009131942],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99852043,0.0006818664,0.000047034337,0.00011926471,0.00053916365,0.00009220186],"domain_scores_gemma":[0.99093586,0.005779302,0.001360297,0.00055148907,0.000959025,0.00041407047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022937146,0.00022130222,0.0002039739,0.00057852495,0.001077576,0.0055167954,0.00037467948,0.0011626385,0.005595595],"category_scores_gemma":[0.015279663,0.00016591029,0.00015358948,0.00059817487,0.00642672,0.00642912,0.0016040915,0.00438294,0.0004986973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022883723,0.00008731434,0.014700157,0.00015480227,0.000045009187,0.0008570851,0.020731078,0.0012420042,0.002020779,0.81811607,0.05190133,0.089915656],"study_design_scores_gemma":[0.000031142336,0.0000818681,0.021821951,0.0004936047,0.000030999272,0.0012055099,0.013372551,0.00761793,0.0012215866,0.7778323,0.17622866,0.00006187034],"about_ca_topic_score_codex":0.00098132,"about_ca_topic_score_gemma":0.00092429615,"teacher_disagreement_score":0.005595595,"about_ca_system_score_codex":0.0011481767,"about_ca_system_score_gemma":0.0006200097,"threshold_uncertainty_score":0.018719137},"labels":[],"label_agreement":null},{"id":"W4388111712","doi":"10.3390/jrfm16110470","title":"Investment Behavior of Foreign Institutional Investors and Implied Volatility Dynamics: An Empirical Study on the Indian Equity Derivatives Market","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Institutional investor; Implied volatility; Equity (law); Economics; Financial economics; Volatility smile; Granger causality; Volatility swap; Monetary economics; Volatility risk premium; Econometrics; Finance; Corporate governance","score_opus":0.051115217398181215,"score_gpt":0.28003177874413443,"score_spread":0.22891656134595323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388111712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989079,0.00008800042,0.00008031993,0.00006656419,0.0000017208298,0.0000044439507,0.000047219764,0.0000020608682,0.00080177165],"genre_scores_gemma":[0.9994289,0.00010180624,0.00006767983,0.000013110976,0.0000066278526,0.0000023918342,0.000109928355,8.1743167e-7,0.00026868147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970204,0.00007104887,0.000028339338,0.0000354109,0.0000683615,0.000094751565],"domain_scores_gemma":[0.9969902,0.0011260789,0.0011906156,0.00016310756,0.00020829927,0.00032162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006996415,0.00021730602,0.0003111778,0.0011230937,0.0005026459,0.0015119612,0.00042080562,0.0005829561,0.0016796084],"category_scores_gemma":[0.002683519,0.00014302196,0.0005144405,0.0013151322,0.00046363237,0.0013305969,0.0005998808,0.00095032883,0.00029016915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016206925,0.00046707893,0.98213595,0.000044227563,0.00008485033,0.0011181333,0.001192716,0.0023370758,0.0007219752,0.0022875022,0.00048042164,0.008967984],"study_design_scores_gemma":[0.000014721909,0.00015213146,0.9741449,0.000031370455,0.000102583996,0.0006490017,0.0031992632,0.018932534,0.0006736031,0.0008642106,0.001202325,0.00003327377],"about_ca_topic_score_codex":0.011054595,"about_ca_topic_score_gemma":0.008307419,"teacher_disagreement_score":0.011054595,"about_ca_system_score_codex":0.0005427136,"about_ca_system_score_gemma":0.00052591984,"threshold_uncertainty_score":0.021980524},"labels":[],"label_agreement":null},{"id":"W4388181621","doi":"10.1016/j.jempfin.2023.101429","title":"Co-illiquidity management","year":2023,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Portfolio; Business; Market liquidity; Asset allocation; Capital asset pricing model; Asset (computer security); Monetary economics; Economics; Finance","score_opus":0.0896185966702432,"score_gpt":0.31003631400978626,"score_spread":0.22041771733954307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388181621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78419113,0.005469719,0.15006267,0.0058551435,0.00043513742,0.00022314182,0.0016838369,0.0010200135,0.05105912],"genre_scores_gemma":[0.98462206,0.00047799532,0.006263606,0.00013234469,0.00022039459,0.000031160173,0.00044505077,0.000052116528,0.007755301],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987539,0.00021422228,0.00015111496,0.0002506395,0.00036871608,0.0002614117],"domain_scores_gemma":[0.9912141,0.0018325318,0.0039808084,0.0010006687,0.0013539369,0.00061812537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021790597,0.00048407138,0.00069707184,0.0026388075,0.0006555776,0.0038209753,0.0008837588,0.0010479395,0.0091249645],"category_scores_gemma":[0.009803177,0.000231758,0.00046627902,0.0018417159,0.00060665794,0.003897671,0.0014837917,0.0012828716,0.0013206481],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008574127,0.00094915746,0.25581092,0.00025055584,0.00041059617,0.0014306309,0.00061343494,0.07319746,0.0120216925,0.22067192,0.02352619,0.41026005],"study_design_scores_gemma":[0.00011912272,0.00064133166,0.09699481,0.00017939112,0.0003579294,0.0013435654,0.0006570186,0.6008462,0.026809108,0.23321112,0.038687367,0.00015312852],"about_ca_topic_score_codex":0.00092544925,"about_ca_topic_score_gemma":0.001090299,"teacher_disagreement_score":0.0091249645,"about_ca_system_score_codex":0.0014785511,"about_ca_system_score_gemma":0.0013190649,"threshold_uncertainty_score":0.030526042},"labels":[],"label_agreement":null},{"id":"W4388225088","doi":"10.1111/jfir.12364","title":"Interstate migration networks and stock return comovement","year":2023,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Griffith University; University of Texas Rio Grande Valley; University of South Florida; Texas State University; University of Regina","keywords":"Portfolio; Stock (firearms); Monetary economics; Shock (circulatory); Economics; Finance; Geography","score_opus":0.11951983782680947,"score_gpt":0.31700572704708996,"score_spread":0.19748588922028049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388225088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99864274,0.00007064006,0.00040212035,0.00004094268,0.0000043854448,0.0000022548236,0.00012635214,0.000011965113,0.00069857354],"genre_scores_gemma":[0.99959654,0.00002227425,0.0000623567,0.000004188785,0.000004631962,0.0000011836564,0.00010142054,0.000002072308,0.00020541273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997167,0.000084091495,0.000028942062,0.00006615939,0.000050049908,0.000054059394],"domain_scores_gemma":[0.9965695,0.000895573,0.0015623064,0.0003347444,0.00037269093,0.00026515967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006821875,0.00019721549,0.0003189855,0.0009940421,0.00021631974,0.0010319793,0.00020045316,0.00026768743,0.0029307744],"category_scores_gemma":[0.0050873063,0.000106950465,0.00020032973,0.0009785071,0.00035319506,0.00067718554,0.0010266638,0.00034100428,0.0003215208],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045777665,0.0001202028,0.96767956,0.000030419895,0.00021870305,0.00022939958,0.00036330795,0.005194923,0.0030325612,0.0027327118,0.0005031587,0.01943731],"study_design_scores_gemma":[0.000010133673,0.00009573991,0.983114,0.000013166354,0.00006246252,0.00012124586,0.00045081778,0.01153326,0.0009836905,0.0028775604,0.00072408287,0.000013810872],"about_ca_topic_score_codex":0.0020957503,"about_ca_topic_score_gemma":0.0021848194,"teacher_disagreement_score":0.0029307744,"about_ca_system_score_codex":0.0002713765,"about_ca_system_score_gemma":0.00012684354,"threshold_uncertainty_score":0.009804368},"labels":[],"label_agreement":null},{"id":"W4388283338","doi":"10.1016/j.jempfin.2023.101440","title":"Expensive anomalies","year":2023,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Liberian dollar; Sharpe ratio; Economics; Momentum (technical analysis); Stock (firearms); Econometrics; Orientation (vector space); Value (mathematics); Basis point; Financial economics; Mathematics; Monetary economics; Statistics; Geography; Geometry; Finance; Interest rate; Portfolio","score_opus":0.08891577020588042,"score_gpt":0.2965288720089904,"score_spread":0.20761310180311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388283338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.112088144,0.0066599622,0.4623903,0.014506678,0.009128776,0.00021249856,0.010356769,0.010750296,0.37390673],"genre_scores_gemma":[0.7933488,0.0022366557,0.058274336,0.0019478025,0.0037482537,0.00008714185,0.005255535,0.0025839442,0.13251759],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985532,0.00016341703,0.00007271039,0.00035867604,0.0006864175,0.00016556203],"domain_scores_gemma":[0.99538594,0.0013880222,0.0005327644,0.0013965266,0.0010958253,0.00020086032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010879029,0.0006683093,0.0008589534,0.0023629058,0.00073634676,0.002409987,0.0010664866,0.0017264098,0.05285156],"category_scores_gemma":[0.013792251,0.0003935968,0.0005361588,0.0022438061,0.0008805119,0.0032230832,0.0015533054,0.0021957073,0.009400762],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035065293,0.000079064695,0.008259968,0.00024343353,0.00012400768,0.0006805514,0.0001460766,0.017441384,0.0066729994,0.54481053,0.12244347,0.29874784],"study_design_scores_gemma":[0.00008082202,0.00010035142,0.011587779,0.00009395613,0.000113263464,0.0021095609,0.00017419322,0.12902907,0.010427018,0.58704925,0.25913906,0.00009574183],"about_ca_topic_score_codex":0.002104959,"about_ca_topic_score_gemma":0.0018603933,"teacher_disagreement_score":0.05285156,"about_ca_system_score_codex":0.0011040374,"about_ca_system_score_gemma":0.00081153214,"threshold_uncertainty_score":0.17680609},"labels":[],"label_agreement":null},{"id":"W4388457228","doi":"10.1080/14697688.2023.2269999","title":"Cryptocurrency factor momentum","year":2023,"lang":"en","type":"article","venue":"Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Narodowe Centrum Nauki","keywords":"Cryptocurrency; Economics; Econometrics; Volatility (finance); Financial economics; Stock (firearms); Factor analysis; Momentum (technical analysis); Skewness; Autocorrelation; Mathematics; Statistics; Geography; Computer science","score_opus":0.09319608380004002,"score_gpt":0.284560539510565,"score_spread":0.19136445571052496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388457228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99155396,0.0008494942,0.0021142166,0.00073529023,0.00005824587,0.000011449391,0.0006991582,0.00006911495,0.003909099],"genre_scores_gemma":[0.999132,0.00009358668,0.00017068036,0.00003166276,0.0000430203,0.0000015261041,0.00025719663,0.000008911476,0.0002615932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948585,0.00007215837,0.000049175604,0.0001490545,0.00014169537,0.00010209401],"domain_scores_gemma":[0.99078524,0.0024280627,0.0042246454,0.0012048599,0.0010355437,0.00032169963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014217483,0.00021486418,0.00039531713,0.0013007821,0.00030361852,0.001687382,0.00022117923,0.00038084746,0.0032390777],"category_scores_gemma":[0.013833589,0.00011119133,0.00030852685,0.0018146356,0.0009870455,0.0016962731,0.00063016237,0.0006466712,0.00058377313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021478254,0.000043214754,0.9629647,0.000052194842,0.00015131508,0.0002147936,0.00021049936,0.0022417007,0.0014444778,0.0064070085,0.0020797744,0.023975627],"study_design_scores_gemma":[0.00002376168,0.00010949612,0.9725609,0.00005315747,0.000121362515,0.00021654631,0.0004412641,0.011151527,0.0016836401,0.0066326866,0.006979715,0.000025916494],"about_ca_topic_score_codex":0.0063320897,"about_ca_topic_score_gemma":0.005493707,"teacher_disagreement_score":0.0063320897,"about_ca_system_score_codex":0.00045605935,"about_ca_system_score_gemma":0.00047658468,"threshold_uncertainty_score":0.012590468},"labels":[],"label_agreement":null},{"id":"W4388461513","doi":"10.1016/j.ribaf.2023.102162","title":"Institutional investor heterogeneity and systemic financial risk: Evidence from China","year":2023,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Ministry of Education of the People's Republic of China; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Systemic risk; Stock (firearms); China; Business; Institutional investor; Mediation; Moderation; Financial system; Financial market; Monetary economics; Finance; Economics; Financial crisis; Corporate governance; Political science","score_opus":0.11304106312729978,"score_gpt":0.317165489919969,"score_spread":0.20412442679266923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388461513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99915266,0.00022476107,0.000038107577,0.00008160213,0.000001038216,0.0000027601955,0.00007877007,8.762297e-7,0.00041941152],"genre_scores_gemma":[0.999652,0.00013897242,0.000014524132,0.00001546869,0.0000042601014,9.0187325e-7,0.00009005412,4.2497595e-7,0.00008326976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961674,0.00008133958,0.000036075708,0.000071906215,0.00007932452,0.000114522685],"domain_scores_gemma":[0.9950982,0.0011629559,0.002259259,0.0003498066,0.00047360867,0.00065634766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010124833,0.00021696794,0.00038483908,0.0015391726,0.0007000007,0.0009276749,0.00039551052,0.00030242366,0.0015038169],"category_scores_gemma":[0.0023431622,0.000156411,0.0003429019,0.002933801,0.0010040886,0.0005344959,0.0007757646,0.00033785685,0.00009774009],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010232677,0.000043210235,0.9936399,0.0000222169,0.00013259483,0.000183954,0.0005337197,0.00022622371,0.00018023403,0.00054038427,0.00017376961,0.004221433],"study_design_scores_gemma":[0.000015895475,0.000035909216,0.99826545,0.000008101158,0.00010017432,0.0000557561,0.0005044771,0.00040329926,0.00010625667,0.00021251851,0.00028631577,0.0000058770984],"about_ca_topic_score_codex":0.07289404,"about_ca_topic_score_gemma":0.083853126,"teacher_disagreement_score":0.07289404,"about_ca_system_score_codex":0.000987741,"about_ca_system_score_gemma":0.0012343569,"threshold_uncertainty_score":0.14493948},"labels":[],"label_agreement":null},{"id":"W4388504834","doi":"10.2139/ssrn.4599471","title":"Cognitive Biases in Cryptocurrency Donations: The Influence of Market Changes and Urgency","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Cryptocurrency; Business; Cognition; Psychology; Internet privacy; Marketing; Computer security; Computer science; Psychiatry","score_opus":0.03149635894064999,"score_gpt":0.2482630694410418,"score_spread":0.2167667105003918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388504834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888005,0.00015220285,0.00027356748,0.0005515653,0.00004208012,0.00001749092,0.00004863851,0.0000059768076,0.010107991],"genre_scores_gemma":[0.99908817,0.000056684697,0.0001146799,0.00018099119,0.0000383628,0.0000064543838,0.00003359271,0.000010243985,0.00047081528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975579,0.0010078157,0.00017218933,0.0003397815,0.0006298713,0.00029239935],"domain_scores_gemma":[0.9105275,0.060576655,0.015730193,0.004235464,0.0041543217,0.004775916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006026537,0.00022033394,0.0003418522,0.0007749633,0.00063576933,0.0031633074,0.00042219926,0.0013577265,0.007719915],"category_scores_gemma":[0.09284007,0.00027467482,0.00027632434,0.0007327973,0.0011413394,0.0016454769,0.0010922815,0.0021170832,0.0007817198],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0074802614,0.003422687,0.8752305,0.00025267704,0.00045811298,0.0005720089,0.011061137,0.003609074,0.0074420115,0.007899921,0.0032153614,0.07935626],"study_design_scores_gemma":[0.00019042124,0.00047542586,0.97866166,0.000053163454,0.00013571039,0.00025466116,0.0034097568,0.0032901887,0.0007689191,0.010970842,0.0017047328,0.00008450987],"about_ca_topic_score_codex":0.0038125666,"about_ca_topic_score_gemma":0.004119758,"teacher_disagreement_score":0.007719915,"about_ca_system_score_codex":0.0006987113,"about_ca_system_score_gemma":0.00067673,"threshold_uncertainty_score":0.031871736},"labels":[],"label_agreement":null},{"id":"W4388535316","doi":"10.54254/2754-1169/36/20231798","title":"The Impact of Status Quo Bias on Investment Decisions","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Status quo; Status quo bias; Investment decisions; Investment (military); Stock (firearms); Affect (linguistics); Economics; Business; Public economics; Microeconomics; Political science; Psychology; Market economy; Behavioral economics; Engineering","score_opus":0.06334178219465543,"score_gpt":0.3071584534283983,"score_spread":0.2438166712337429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388535316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862039,0.00009022063,0.001990533,0.0002638752,0.000026661768,0.00003914894,0.000052480384,0.000009669881,0.01132349],"genre_scores_gemma":[0.9984047,0.000052725834,0.00066918443,0.00006464407,0.0000055249375,0.000019597077,0.000023517568,0.0000036791912,0.0007565033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970933,0.0015683179,0.00018138382,0.00033035394,0.0005968437,0.00022977087],"domain_scores_gemma":[0.9779102,0.015907267,0.0031099576,0.0014272194,0.0009231691,0.000722132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046853414,0.0002240713,0.00030134837,0.00025574514,0.00036675768,0.0015924727,0.00022310493,0.00063358416,0.0040241713],"category_scores_gemma":[0.01977455,0.00015897237,0.00021864737,0.00022585758,0.0008611513,0.0009227637,0.00065924414,0.0007998355,0.000331465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009154542,0.0050769546,0.552963,0.0009369491,0.00091196125,0.0009012717,0.009543674,0.030548038,0.12409388,0.06492992,0.0028049054,0.19813485],"study_design_scores_gemma":[0.00072478293,0.009190557,0.79609704,0.00021021397,0.000589355,0.0003435852,0.008274854,0.04882107,0.04658928,0.07506588,0.013850941,0.0002424741],"about_ca_topic_score_codex":0.0012343099,"about_ca_topic_score_gemma":0.0012988341,"teacher_disagreement_score":0.0046853414,"about_ca_system_score_codex":0.0007070303,"about_ca_system_score_gemma":0.0004506954,"threshold_uncertainty_score":0.024778783},"labels":[],"label_agreement":null},{"id":"W4388544055","doi":"10.2139/ssrn.4601972","title":"A Trend Factor for the Cross-Section of Cryptocurrency Returns","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cryptocurrency; Exploit; Transaction cost; Computer science; Econometrics; Stochastic discount factor; Factor analysis; Capital asset pricing model; Database transaction; Asset (computer security); Section (typography); Economics; Microeconomics; Database; Computer security","score_opus":0.038379513217222626,"score_gpt":0.26626781703558633,"score_spread":0.2278883038183637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388544055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8967654,0.0026549723,0.081063986,0.0015739239,0.00072166766,0.0001253396,0.0031902671,0.0014838207,0.012420615],"genre_scores_gemma":[0.98875564,0.0006127854,0.0021286171,0.000079915306,0.00022475669,0.000018363016,0.0015010624,0.0001893867,0.0064895237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988248,0.0001696401,0.00009365762,0.0004818459,0.00022394543,0.00020601484],"domain_scores_gemma":[0.9876281,0.0056298976,0.002509889,0.0022367004,0.0014027542,0.0005925725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043097474,0.0006758561,0.0006024388,0.002419447,0.00040246412,0.002360562,0.00080510025,0.0016419581,0.009934603],"category_scores_gemma":[0.018850774,0.00042305942,0.0019073552,0.003216108,0.0006914512,0.0027199995,0.00052215316,0.0020222545,0.0026729617],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000534037,0.00021004342,0.8152099,0.00018664074,0.0015067013,0.0014058126,0.00048328954,0.029828606,0.011164242,0.032157294,0.009984112,0.09732925],"study_design_scores_gemma":[0.000053091237,0.0003729791,0.84680486,0.000094370276,0.0009153213,0.0011473619,0.00029637536,0.12282112,0.003101454,0.015095114,0.009180183,0.00011774784],"about_ca_topic_score_codex":0.01046637,"about_ca_topic_score_gemma":0.0077974214,"teacher_disagreement_score":0.01046637,"about_ca_system_score_codex":0.0008110304,"about_ca_system_score_gemma":0.00077990216,"threshold_uncertainty_score":0.033234537},"labels":[],"label_agreement":null},{"id":"W4388591154","doi":"10.1016/j.frl.2023.104715","title":"Price limit relaxation and stock price crash risk: Evidence from China","year":2023,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"China Scholarship Council","keywords":"Economics; Hoarding (animal behavior); Stock price; Mid price; Crash; Econometrics; Limit price; Stock (firearms); Financial economics; Monetary economics; Limit (mathematics); Cost price; Price level; Computer science; Mathematics; Medicine","score_opus":0.09969751264918772,"score_gpt":0.2971403597991211,"score_spread":0.1974428471499334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388591154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99897194,0.0002460511,0.00003263135,0.00010981021,0.0000018693014,0.0000035658024,0.00012544522,0.0000012684322,0.0005073961],"genre_scores_gemma":[0.9992937,0.00022855106,0.000015673168,0.000027111682,0.000009194407,0.0000017209051,0.00024196756,6.818249e-7,0.00018148424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973017,0.000040989453,0.000028392917,0.000050865925,0.00007617529,0.000073438234],"domain_scores_gemma":[0.99660873,0.000692286,0.0014305311,0.00026640503,0.00053629314,0.00046572456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072743313,0.00033322952,0.00038313962,0.00137359,0.0007454576,0.000872696,0.0005227562,0.0005125407,0.0021097923],"category_scores_gemma":[0.0026048287,0.00022503387,0.00042973596,0.0022611346,0.00087727554,0.00061855215,0.00061968627,0.0005196302,0.00015783292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016792418,0.0000533066,0.99442285,0.000019805153,0.00008797519,0.00025993877,0.0003226751,0.0001500736,0.00024911866,0.0002178834,0.00019759132,0.0038508123],"study_design_scores_gemma":[0.000011296776,0.00004840994,0.99889153,0.0000033672547,0.000053590746,0.00007357177,0.00023775478,0.0003082423,0.00007802361,0.000091915696,0.00019776635,0.000004469975],"about_ca_topic_score_codex":0.080721505,"about_ca_topic_score_gemma":0.076461054,"teacher_disagreement_score":0.080721505,"about_ca_system_score_codex":0.00089139043,"about_ca_system_score_gemma":0.0012639782,"threshold_uncertainty_score":0.16050327},"labels":[],"label_agreement":null},{"id":"W4388637845","doi":"10.3390/jrfm16110480","title":"Using the Capital Asset Pricing Model and the Fama–French Three-Factor and Five-Factor Models to Manage Stock and Bond Portfolios: Evidence from Timor-Leste","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Capital asset pricing model; Economics; Financial economics; Bond; Factor analysis; Stock (firearms); Equity (law); Monetary economics; Stock market; Econometrics; Finance","score_opus":0.0643432264062789,"score_gpt":0.243857035665584,"score_spread":0.1795138092593051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388637845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99068904,0.0012935807,0.004933735,0.00064318924,0.000019947745,0.000025833313,0.00020212519,0.00003175434,0.002160695],"genre_scores_gemma":[0.99684477,0.00063995086,0.0013064425,0.000052317984,0.000036910027,0.000011588565,0.00043486268,0.0000069440966,0.00066620816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987091,0.0007178864,0.000054918382,0.00018124476,0.00014741939,0.00018956141],"domain_scores_gemma":[0.98653424,0.009514938,0.002204916,0.0004947364,0.000755146,0.00049600913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057295808,0.0009299824,0.0006370531,0.0022112622,0.00065647106,0.0029194998,0.0009807103,0.0010506731,0.0022958617],"category_scores_gemma":[0.012201579,0.00024015763,0.0014955899,0.0021062384,0.0007910983,0.002092019,0.0008058248,0.0011780368,0.0005543005],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064417796,0.000591441,0.86817366,0.00011651396,0.0010121823,0.0009076181,0.0007927114,0.064533696,0.00037887492,0.015419975,0.0031622224,0.04426697],"study_design_scores_gemma":[0.0001646543,0.00059056084,0.32657355,0.00015555296,0.00065563794,0.00036587505,0.0015509716,0.649921,0.00048580617,0.014909886,0.0045117927,0.00011473925],"about_ca_topic_score_codex":0.06102493,"about_ca_topic_score_gemma":0.02950192,"teacher_disagreement_score":0.06102493,"about_ca_system_score_codex":0.0015267513,"about_ca_system_score_gemma":0.0010207561,"threshold_uncertainty_score":0.12133944},"labels":[],"label_agreement":null},{"id":"W4388758470","doi":"10.2139/ssrn.4607278","title":"Winning Probability Weighted Combined Portfolio","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Portfolio; Mathematics; Actuarial science; Econometrics; Computer science; Economics; Financial economics","score_opus":0.02230789150309109,"score_gpt":0.21461470551322456,"score_spread":0.19230681401013347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388758470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21055114,0.000971808,0.63155735,0.0013017014,0.0006992695,0.00031890062,0.0006503655,0.000847983,0.15310155],"genre_scores_gemma":[0.8347502,0.00046776602,0.0597108,0.00024376863,0.00037129998,0.00020147224,0.0007515588,0.00016966392,0.103333585],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985947,0.00031074474,0.000074957934,0.00020283528,0.000613253,0.00020343157],"domain_scores_gemma":[0.9977114,0.0005934238,0.00017208845,0.0005478538,0.00055515085,0.00042003248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019186885,0.00083045405,0.001005746,0.00089371257,0.00041906728,0.0024546597,0.0012642666,0.0011298642,0.020634634],"category_scores_gemma":[0.007562182,0.00024705307,0.00048464947,0.0006775532,0.00043776506,0.0022526113,0.0017528422,0.0011640842,0.004141212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00168338,0.00050540996,0.006747655,0.00027499217,0.0005084979,0.00059159065,0.00011866052,0.10698107,0.011717614,0.31346756,0.03250963,0.52489394],"study_design_scores_gemma":[0.00019655246,0.00095983,0.004467223,0.000071772614,0.00025634942,0.001167971,0.00007762506,0.5840914,0.008158893,0.3773739,0.023128793,0.000049621274],"about_ca_topic_score_codex":0.0001530709,"about_ca_topic_score_gemma":0.00026791927,"teacher_disagreement_score":0.020634634,"about_ca_system_score_codex":0.00043473244,"about_ca_system_score_gemma":0.00066341367,"threshold_uncertainty_score":0.06902969},"labels":[],"label_agreement":null},{"id":"W4388837633","doi":"10.2139/ssrn.4638212","title":"Recent Developments in Financial Risk and the Real Economy","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Volatility (finance); Download; Risk premium; Economics; Context (archaeology); Variance (accounting); Macro; Developing country; Financial economics; Finance; Actuarial science; Computer science; Geography; Accounting; Economic growth","score_opus":0.014142172636616162,"score_gpt":0.20292419803682407,"score_spread":0.18878202540020791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388837633","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028721321,0.8644368,0.0067371787,0.062138274,0.0018804077,0.0000053086947,0.0002424659,0.000041889496,0.035796363],"genre_scores_gemma":[0.3209097,0.6562999,0.0024578357,0.0027078462,0.012251748,0.00000860497,0.00019559234,0.000022197875,0.0051464946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996457,0.00014092556,0.000032932225,0.000065682136,0.000088852,0.000025882791],"domain_scores_gemma":[0.9911377,0.0066005234,0.0009608647,0.0002637169,0.00077405415,0.00026318102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021229025,0.00036287415,0.0004756119,0.001718438,0.00032355555,0.0033675951,0.00053528696,0.001946883,0.005938822],"category_scores_gemma":[0.008995692,0.00021301689,0.00021506095,0.004279342,0.002192583,0.004854592,0.00078980543,0.002376798,0.00074056385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032772924,0.00008355633,0.006341212,0.0014755687,0.00006642317,0.00036474573,0.0005769382,0.0048382864,0.0005264143,0.63878673,0.02452709,0.32208532],"study_design_scores_gemma":[0.000029735074,0.00009623411,0.018718204,0.0012522199,0.00005855192,0.0013737353,0.0008533024,0.006669246,0.0004031015,0.53219026,0.43829346,0.00006194716],"about_ca_topic_score_codex":0.00090006844,"about_ca_topic_score_gemma":0.00078640896,"teacher_disagreement_score":0.005938822,"about_ca_system_score_codex":0.0011069804,"about_ca_system_score_gemma":0.0005370478,"threshold_uncertainty_score":0.01986736},"labels":[],"label_agreement":null},{"id":"W4388900603","doi":"10.2139/ssrn.4641379","title":"Representative Investors Versus Best Clienteles: Performance Evaluation Disagreement in Mutual Funds","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais; Université Laval","funders":"","keywords":"Econometrics; Financial economics; Economics; Business; Monetary economics","score_opus":0.11385469608122153,"score_gpt":0.3057059595771098,"score_spread":0.19185126349588824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388900603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83785754,0.0030574014,0.018219864,0.06468534,0.00021299791,0.0001300283,0.00013438711,0.00013853287,0.07556391],"genre_scores_gemma":[0.9978199,0.000096502125,0.0007368355,0.00067166623,0.00009033242,0.000016675733,0.000011150273,0.000014590623,0.00054245524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9372361,0.038438354,0.0041106706,0.002887654,0.012581279,0.004745918],"domain_scores_gemma":[0.6124238,0.31400162,0.032631136,0.009508268,0.023448505,0.0079867225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11811415,0.0004568924,0.0017102504,0.002827275,0.002879539,0.010941786,0.001829036,0.007114756,0.0048249774],"category_scores_gemma":[0.36059028,0.00045341277,0.00054945325,0.0019290459,0.0046348125,0.0075890226,0.0038791425,0.0044711,0.0005748659],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006542479,0.00065078767,0.09720059,0.00086088176,0.00093082007,0.0014827972,0.024971142,0.01417555,0.0019014532,0.53218657,0.040382102,0.2787148],"study_design_scores_gemma":[0.0010998095,0.00075597194,0.12309064,0.0011388143,0.0006300476,0.0009748601,0.030446744,0.0833381,0.007451825,0.72873384,0.021923102,0.00041624936],"about_ca_topic_score_codex":0.0028357573,"about_ca_topic_score_gemma":0.0033284572,"teacher_disagreement_score":0.11811415,"about_ca_system_score_codex":0.006223483,"about_ca_system_score_gemma":0.0036816262,"threshold_uncertainty_score":0.62465477},"labels":[],"label_agreement":null},{"id":"W4388900841","doi":"10.2139/ssrn.4633434","title":"Cost Behavior Under Uncertainty: Evidence from the Covid-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Concordia University; Université de Sherbrooke","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Econometrics; Economics; Computer science; Virology; Medicine","score_opus":0.1393762850351305,"score_gpt":0.3089109547756724,"score_spread":0.16953466974054188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388900841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97500235,0.00074359996,0.0007705245,0.0047596227,0.00004340945,0.00002857791,0.0007861808,0.000019778545,0.017846135],"genre_scores_gemma":[0.9987004,0.00021864977,0.000075092736,0.00028681802,0.000023166625,0.0000075110956,0.0002026253,0.0000058496803,0.0004797296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902225,0.00047391086,0.00004370935,0.00008563803,0.00019733419,0.00017716104],"domain_scores_gemma":[0.9704686,0.019262541,0.005987867,0.001484825,0.0016639302,0.0011322561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003064691,0.00019214944,0.00040055095,0.00051319477,0.0005165359,0.0016987863,0.0005965016,0.0019062953,0.005602277],"category_scores_gemma":[0.033271518,0.00017898854,0.00021328678,0.0007191988,0.0010323274,0.0015353946,0.00087817496,0.0022158592,0.0005397965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010264114,0.0023898133,0.5876957,0.0005489399,0.00067084114,0.0015029561,0.0042092316,0.0637244,0.0030707563,0.122607976,0.06028896,0.1430263],"study_design_scores_gemma":[0.00087576016,0.0019649656,0.72618204,0.00027703072,0.00023057728,0.0008567986,0.010290707,0.08573907,0.001906418,0.13877822,0.032648113,0.00025030097],"about_ca_topic_score_codex":0.009072181,"about_ca_topic_score_gemma":0.004532354,"teacher_disagreement_score":0.009072181,"about_ca_system_score_codex":0.0008326025,"about_ca_system_score_gemma":0.00051367685,"threshold_uncertainty_score":0.018741488},"labels":[],"label_agreement":null},{"id":"W4388905256","doi":"10.1287/mnsc.2023.4970","title":"The Dynamic Informativeness of Scheduled News","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Volatility (finance); Quarter (Canadian coin); Private information retrieval; Computer science; Point (geometry); Econometrics; Accounting; Business; Economics; Actuarial science; Computer security; Mathematics; History","score_opus":0.022980261771041937,"score_gpt":0.23430387053680982,"score_spread":0.2113236087657679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388905256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35724777,0.00094366545,0.6222838,0.0012689243,0.00016805089,0.00011565621,0.002536749,0.00076567975,0.014669771],"genre_scores_gemma":[0.95655,0.0003614287,0.03842054,0.00006810813,0.00027266986,0.00007059972,0.0012495832,0.000054932494,0.002952058],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99875474,0.00032941476,0.0000794528,0.00039339665,0.00031149454,0.00013153997],"domain_scores_gemma":[0.9751481,0.017974539,0.0038628564,0.0016872947,0.0009292507,0.00039788117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031440374,0.00053310156,0.0007726291,0.003579088,0.00046195294,0.0027415936,0.0011446696,0.001122792,0.00468937],"category_scores_gemma":[0.03604227,0.00067484495,0.0006549016,0.0022888964,0.00060823763,0.00246484,0.0010586971,0.0014774308,0.0006101755],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013662082,0.0005526348,0.1713672,0.00043531152,0.0006803433,0.00083396246,0.0016868802,0.13545427,0.013659992,0.20280883,0.00720591,0.46394837],"study_design_scores_gemma":[0.00011211669,0.0002925789,0.09779963,0.00013920823,0.00030153777,0.0004750039,0.0003207946,0.7515017,0.00597999,0.13236079,0.010532624,0.0001840811],"about_ca_topic_score_codex":0.002843575,"about_ca_topic_score_gemma":0.0033604077,"teacher_disagreement_score":0.00468937,"about_ca_system_score_codex":0.0007365875,"about_ca_system_score_gemma":0.0007668936,"threshold_uncertainty_score":0.01662749},"labels":[],"label_agreement":null},{"id":"W4388910532","doi":"10.5539/ijef.v15n12p118","title":"Systematic Risk and Corporate Business Performance","year":2023,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Portfolio; Stock (firearms); Systematic risk; Financial economics; Common stock; Economics; Stock market; Econometrics; Corporate finance; Market portfolio; Diversification (marketing strategy); Expected return; Stock market index; Risk–return spectrum; Modern portfolio theory; Business; Finance","score_opus":0.030968087075019034,"score_gpt":0.20106966698236184,"score_spread":0.17010157990734281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388910532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657201,0.0071247085,0.0073680147,0.00055011944,0.00003477537,0.00002395395,0.00023216977,0.00004842884,0.01889775],"genre_scores_gemma":[0.99850273,0.00059030176,0.00026591815,0.000018355073,0.000050842587,0.000003979592,0.000056846482,0.0000029003909,0.00050810544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992011,0.00027289096,0.000055731776,0.0001230497,0.00026479433,0.00008243546],"domain_scores_gemma":[0.9892313,0.004419234,0.0047818944,0.0005024588,0.000616564,0.0004486347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012780683,0.0004788538,0.00031938442,0.0016205551,0.00019347033,0.0012481498,0.00021601492,0.0004829443,0.0014446368],"category_scores_gemma":[0.0072011473,0.00009519779,0.00023812201,0.0015618815,0.00072821975,0.0007595493,0.0009828373,0.00035971365,0.0003424439],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025607357,0.00020202817,0.7878786,0.00034370934,0.0005185834,0.0005550826,0.0006746856,0.02248103,0.0038721699,0.03741477,0.0010129157,0.14479037],"study_design_scores_gemma":[0.000013563284,0.0007078565,0.9026127,0.00018389971,0.0001497153,0.00062327675,0.00047595083,0.022722946,0.002275746,0.06498983,0.005170185,0.00007437982],"about_ca_topic_score_codex":0.0005368935,"about_ca_topic_score_gemma":0.0004351593,"teacher_disagreement_score":0.0016205551,"about_ca_system_score_codex":0.00044398702,"about_ca_system_score_gemma":0.0003227505,"threshold_uncertainty_score":0.0067591667},"labels":[],"label_agreement":null},{"id":"W4389002706","doi":"10.3905/joi.2023.1.293","title":"Investigating Long-Term Short Pairing Strategies for Leveraged Exchange-Traded Funds Using Machine Learning Techniques","year":2023,"lang":"en","type":"article","venue":"The Journal of Investing","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Group for Research in Decision Analysis; Université du Québec à Montréal","funders":"","keywords":"Portfolio; Business; Volatility (finance); Profitability index; Financial economics; Index fund; Monetary economics; Position (finance); Econometrics; Economics; Finance; Institutional investor; Open-end fund","score_opus":0.1471408758511218,"score_gpt":0.29141287917670367,"score_spread":0.14427200332558188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389002706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97875994,0.00066525454,0.01872754,0.00023577416,0.000010225342,0.000023364402,0.00006195762,0.00005138838,0.0014645046],"genre_scores_gemma":[0.9967835,0.00012968396,0.0026694275,0.00001231439,0.0000098155,0.000007744673,0.00005609762,0.0000029444225,0.00032846344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956816,0.00012641605,0.0000425843,0.00006893063,0.000113426955,0.00008056064],"domain_scores_gemma":[0.995545,0.0029578302,0.0009664766,0.000120331184,0.00024006605,0.00017016592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022252675,0.0006200706,0.0007102729,0.0015147259,0.00025999773,0.0013257116,0.00052676647,0.00066493475,0.0011954984],"category_scores_gemma":[0.006553794,0.00018104035,0.00040967853,0.0008125439,0.00042375486,0.001887033,0.00046744544,0.0006436786,0.00015729836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006010746,0.00068134686,0.23098806,0.00015754518,0.0004271325,0.00065724255,0.00013172245,0.6216708,0.008012574,0.010268308,0.0006306364,0.12577364],"study_design_scores_gemma":[0.00001269384,0.00019529708,0.018013887,0.000014111874,0.00003302875,0.00009180272,0.00007133577,0.97649914,0.0017288179,0.003119501,0.00020799578,0.000012416212],"about_ca_topic_score_codex":0.0020152598,"about_ca_topic_score_gemma":0.0019678758,"teacher_disagreement_score":0.0022252675,"about_ca_system_score_codex":0.0006539536,"about_ca_system_score_gemma":0.0005380156,"threshold_uncertainty_score":0.01176846},"labels":[],"label_agreement":null},{"id":"W4389081424","doi":"10.3233/af-220441","title":"Combining low-volatility and mean-reversion anomalies: Better together?","year":2023,"lang":"en","type":"article","venue":"Algorithmic Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Mean reversion; Reversion; Volatility (finance); Econometrics; Economics; Chemistry","score_opus":0.023077093092479233,"score_gpt":0.21399296731018028,"score_spread":0.19091587421770104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389081424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64851743,0.0025442876,0.32537556,0.0042763366,0.00048243583,0.00014764542,0.00032444022,0.0019159983,0.016415944],"genre_scores_gemma":[0.95504487,0.00038974127,0.04190522,0.00034679167,0.00032271913,0.000021768268,0.00020089636,0.00015071228,0.0016172522],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986369,0.00027363678,0.00013481807,0.0003183446,0.0004729178,0.00016338662],"domain_scores_gemma":[0.9954927,0.0012609997,0.0011754421,0.0010255557,0.0006139128,0.00043134516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027202906,0.0010714526,0.0015255095,0.0010176145,0.0003640887,0.0035570117,0.00087482773,0.0011659181,0.002814166],"category_scores_gemma":[0.010557321,0.00032774455,0.0009212589,0.0012233544,0.000938369,0.0057338336,0.002298814,0.0018437534,0.0006728923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011756804,0.000591713,0.17685571,0.0003847674,0.0008337458,0.00080114434,0.00038306965,0.03556912,0.03321382,0.1126534,0.0037666073,0.6337711],"study_design_scores_gemma":[0.00033472438,0.0028353813,0.13867104,0.00025153108,0.0011377111,0.0029813733,0.0009497293,0.32039812,0.050886154,0.45688248,0.024233311,0.0004384446],"about_ca_topic_score_codex":0.0005265195,"about_ca_topic_score_gemma":0.0007756907,"teacher_disagreement_score":0.0035570117,"about_ca_system_score_codex":0.00045966223,"about_ca_system_score_gemma":0.000773554,"threshold_uncertainty_score":0.014386475},"labels":[],"label_agreement":null},{"id":"W4389124909","doi":"10.2139/ssrn.4628462","title":"The Anatomy of Machine Learning-Based Portfolio Performance","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Portfolio; Computer science; Artificial intelligence; Anatomy; Medicine; Economics; Financial economics","score_opus":0.011767780663559593,"score_gpt":0.21570437766784403,"score_spread":0.20393659700428443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389124909","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08049387,0.015772494,0.8050862,0.014152384,0.00041767376,0.000071359675,0.00037070105,0.00075010606,0.08288513],"genre_scores_gemma":[0.88823026,0.00577133,0.09680018,0.0004861025,0.0006909391,0.000073491494,0.00014798167,0.00012468034,0.007675065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856734,0.0006348072,0.0000899341,0.0002451365,0.0003846779,0.000077990255],"domain_scores_gemma":[0.992288,0.0057027256,0.0004997516,0.00066558184,0.0006799506,0.00016402554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037254144,0.00054404343,0.0005705193,0.001743592,0.00037188464,0.0045853048,0.0011821318,0.0016446383,0.0036688661],"category_scores_gemma":[0.023296086,0.00042952073,0.0003725981,0.0015114681,0.0030896654,0.007470445,0.0013588726,0.0022238544,0.00089170685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035100413,0.000043351207,0.0035260944,0.00009243363,0.000045403303,0.00008603914,0.00020217455,0.032792985,0.0011703861,0.8595788,0.0019148192,0.10051242],"study_design_scores_gemma":[0.00000606021,0.000026561855,0.0020009673,0.000045086,0.0000070755086,0.00011576763,0.00003453213,0.093096554,0.0005111662,0.9007434,0.0033899795,0.000022888733],"about_ca_topic_score_codex":0.0013167007,"about_ca_topic_score_gemma":0.0006238602,"teacher_disagreement_score":0.0045853048,"about_ca_system_score_codex":0.0012018604,"about_ca_system_score_gemma":0.000685509,"threshold_uncertainty_score":0.019702077},"labels":[],"label_agreement":null},{"id":"W4389130750","doi":"10.2139/ssrn.4620128","title":"Recent Developments in Financial Risk and the Real Economy","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Financial risk; Economics; Business; Finance; Financial system","score_opus":0.014142172636616162,"score_gpt":0.20292419803682407,"score_spread":0.18878202540020791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389130750","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028721321,0.8644368,0.0067371787,0.062138274,0.0018804077,0.0000053086947,0.0002424659,0.000041889496,0.035796363],"genre_scores_gemma":[0.3209097,0.6562999,0.0024578357,0.0027078462,0.012251748,0.00000860497,0.00019559234,0.000022197875,0.0051464946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996457,0.00014092556,0.000032932225,0.000065682136,0.000088852,0.000025882791],"domain_scores_gemma":[0.9911377,0.0066005234,0.0009608647,0.0002637169,0.00077405415,0.00026318102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021229025,0.00036287415,0.0004756119,0.001718438,0.00032355555,0.0033675951,0.00053528696,0.001946883,0.005938822],"category_scores_gemma":[0.008995692,0.00021301689,0.00021506095,0.004279342,0.002192583,0.004854592,0.00078980543,0.002376798,0.00074056385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032772924,0.00008355633,0.006341212,0.0014755687,0.00006642317,0.00036474573,0.0005769382,0.0048382864,0.0005264143,0.63878673,0.02452709,0.32208532],"study_design_scores_gemma":[0.000029735074,0.00009623411,0.018718204,0.0012522199,0.00005855192,0.0013737353,0.0008533024,0.006669246,0.0004031015,0.53219026,0.43829346,0.00006194716],"about_ca_topic_score_codex":0.00090006844,"about_ca_topic_score_gemma":0.00078640896,"teacher_disagreement_score":0.005938822,"about_ca_system_score_codex":0.0011069804,"about_ca_system_score_gemma":0.0005370478,"threshold_uncertainty_score":0.01986736},"labels":[],"label_agreement":null},{"id":"W4389186923","doi":"10.2139/ssrn.4637027","title":"Does News, Order Flow, or Illiquidity drive jumps in stock returns? In the day or in the night?","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Stock (firearms); Monetary economics; Financial economics; Order (exchange); Economics; Econometrics; Business; Finance; Geography","score_opus":0.02898648404517846,"score_gpt":0.2438392445982799,"score_spread":0.21485276055310146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389186923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853817,0.0015017117,0.00068388076,0.0034388553,0.00024284267,0.000013093727,0.0007822194,0.000044575747,0.007911114],"genre_scores_gemma":[0.9964234,0.0003968044,0.00012354061,0.00037105175,0.00019492375,0.000004117765,0.00023608842,0.000025578554,0.0022244377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997583,0.000044509266,0.000018147419,0.000054970835,0.000035878096,0.000088183166],"domain_scores_gemma":[0.9918315,0.0033787934,0.0026029076,0.00043422874,0.00040788006,0.0013446552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008625909,0.00020068244,0.00062937365,0.0005534619,0.00042318666,0.0033594398,0.00047083068,0.0016483865,0.015661215],"category_scores_gemma":[0.010363979,0.00036611932,0.0005589299,0.00054879434,0.0005445306,0.0021445225,0.0005827053,0.0014943819,0.002334806],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027203585,0.0009412768,0.9377839,0.00019897007,0.0005462696,0.00055650034,0.0012452535,0.0009813957,0.003909374,0.0065882234,0.0069637257,0.037564743],"study_design_scores_gemma":[0.00013463259,0.00026842972,0.98194516,0.000068041205,0.0002639777,0.00014940309,0.001398373,0.003013882,0.00066135084,0.009292756,0.0027568273,0.00004728772],"about_ca_topic_score_codex":0.0071395095,"about_ca_topic_score_gemma":0.0071835783,"teacher_disagreement_score":0.015661215,"about_ca_system_score_codex":0.00026078348,"about_ca_system_score_gemma":0.00047326655,"threshold_uncertainty_score":0.052391946},"labels":[],"label_agreement":null},{"id":"W4389225124","doi":"10.1080/14697688.2023.2269992","title":"Centred expected shortfall (CES): a traditional asset manager’s view on decomposing downside investment risk","year":2023,"lang":"en","type":"article","venue":"Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downside risk; Portfolio; Tail risk; Asset allocation; Volatility (finance); Expected shortfall; Economics; Diversification (marketing strategy); Value at risk; Econometrics; Financial economics; Actuarial science; Risk management; Business; Finance","score_opus":0.12283018298888351,"score_gpt":0.2699044999770198,"score_spread":0.1470743169881363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389225124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08994978,0.01940073,0.8172868,0.017651161,0.0009941722,0.0001731376,0.00056426454,0.0003145629,0.053665347],"genre_scores_gemma":[0.89451253,0.008623774,0.07401362,0.0008785643,0.0017342187,0.00009320104,0.00020528969,0.00009785939,0.01984096],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99880636,0.00035322487,0.00007234475,0.00021841704,0.00038523405,0.00016445933],"domain_scores_gemma":[0.9950063,0.0022348312,0.0006830862,0.00033536012,0.0012296713,0.0005106663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047548027,0.0015950121,0.0009786452,0.003508083,0.0006113639,0.0038009987,0.0021066393,0.0017691719,0.003404267],"category_scores_gemma":[0.009845387,0.00035151886,0.0008326243,0.0019412874,0.0027819301,0.0045480174,0.0010903463,0.0024771602,0.00032841266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013056841,0.00008877199,0.011008435,0.00025053206,0.0002271707,0.00050511584,0.00038394792,0.12028859,0.0013478731,0.7589004,0.008489264,0.09837939],"study_design_scores_gemma":[0.00003258359,0.00018174706,0.010045292,0.00024919733,0.00008593069,0.00025534758,0.0003727224,0.36176485,0.0009919502,0.60211,0.023811048,0.00009930542],"about_ca_topic_score_codex":0.025404653,"about_ca_topic_score_gemma":0.02255623,"teacher_disagreement_score":0.025404653,"about_ca_system_score_codex":0.004191843,"about_ca_system_score_gemma":0.0038388385,"threshold_uncertainty_score":0.050513566},"labels":[],"label_agreement":null},{"id":"W4389239267","doi":"10.1007/s10683-023-09815-9","title":"Forecasting returns instead of prices exacerbates financial bubbles","year":2023,"lang":"en","type":"article","venue":"Experimental Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Japan Society for the Promotion of Science; Agence Nationale de la Recherche; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Chapman University","keywords":"Economics; Econometrics; Order (exchange); Financial market; Variable (mathematics); Asset (computer security); Financial economics; Finance; Computer science","score_opus":0.0629959623537546,"score_gpt":0.23440576070485306,"score_spread":0.17140979835109846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389239267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971194,0.000067556604,0.0014373766,0.00015991386,0.000022631024,0.00002966327,0.00004374392,0.000037069967,0.0010828071],"genre_scores_gemma":[0.99794084,0.000053271026,0.0011389304,0.000098999146,0.000023969313,0.000051187853,0.00004567886,0.000012977715,0.0006342241],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989548,0.00048455896,0.0001322731,0.00013436019,0.00019785622,0.00009620293],"domain_scores_gemma":[0.98114395,0.013102906,0.003307048,0.0014202766,0.00036633358,0.0006594473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024375245,0.0003592181,0.0005754075,0.00022701891,0.00013431329,0.0007252828,0.00028894673,0.0007360202,0.0066363555],"category_scores_gemma":[0.01384449,0.00025297687,0.00015617747,0.00013824631,0.0005671173,0.0006597995,0.00064457237,0.0008976289,0.00038298953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03364474,0.01842327,0.085393414,0.001673709,0.0005462217,0.00089582143,0.002433564,0.015637906,0.6981358,0.010316556,0.0030736476,0.12982534],"study_design_scores_gemma":[0.004098567,0.06914587,0.36736134,0.00034549623,0.0009509622,0.0014358382,0.001738793,0.1164486,0.38020125,0.050263163,0.0077448874,0.00026533095],"about_ca_topic_score_codex":0.0002539573,"about_ca_topic_score_gemma":0.00021425678,"teacher_disagreement_score":0.0066363555,"about_ca_system_score_codex":0.00017700656,"about_ca_system_score_gemma":0.00018058831,"threshold_uncertainty_score":0.022200823},"labels":[],"label_agreement":null},{"id":"W4389245259","doi":"10.1002/ijfe.2919","title":"Is illiquidity priced in an international factor pricing model? A dynamic panel data application with robust <scp>IV</scp>","year":2023,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Endogeneity; Economics; Panel data; Estimator; Econometrics; Recession; Generalized method of moments; Financial economics; Monetary economics; Macroeconomics; Mathematics; Statistics","score_opus":0.09551781083376919,"score_gpt":0.27790119709185723,"score_spread":0.18238338625808803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389245259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24424832,0.001206701,0.7465308,0.002248233,0.0001243305,0.000121305464,0.001151585,0.0004725784,0.003896135],"genre_scores_gemma":[0.95350033,0.0007378172,0.041441116,0.00024726888,0.00018665582,0.00012579172,0.0011959429,0.00008137989,0.0024836985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998114,0.0012317304,0.00008165782,0.00029444302,0.00011871855,0.00015949493],"domain_scores_gemma":[0.9776692,0.018365674,0.00209525,0.0009272751,0.00067415775,0.00026846427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0085002165,0.0007619641,0.0015186563,0.0013433326,0.00044389753,0.0025087867,0.0015340238,0.0016342493,0.0041795005],"category_scores_gemma":[0.027297108,0.00064829877,0.0015890646,0.0015952786,0.0008574578,0.0015727355,0.0011796042,0.0024216888,0.0004218879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021215038,0.00018820092,0.037238546,0.00013567011,0.00064195733,0.0007087249,0.00023503027,0.802957,0.00075044285,0.11298747,0.004960702,0.038984146],"study_design_scores_gemma":[0.000017045397,0.000026647864,0.0016922058,0.000018404244,0.00005354636,0.00002464266,0.000032805012,0.98104286,0.00013131708,0.016357146,0.0005858322,0.000017547409],"about_ca_topic_score_codex":0.018019369,"about_ca_topic_score_gemma":0.008240138,"teacher_disagreement_score":0.018019369,"about_ca_system_score_codex":0.00094622286,"about_ca_system_score_gemma":0.0009463924,"threshold_uncertainty_score":0.044954002},"labels":[],"label_agreement":null},{"id":"W4389254384","doi":"10.2139/ssrn.4638075","title":"Separate Risk from Optionality","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science","score_opus":0.022747449896430422,"score_gpt":0.22688547341715026,"score_spread":0.20413802352071983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389254384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17451054,0.0011521194,0.7211936,0.006849123,0.0005446718,0.00013419833,0.00068594085,0.001188784,0.093741],"genre_scores_gemma":[0.9374685,0.00041743967,0.034669366,0.00047677266,0.0007987121,0.00006692019,0.00025018476,0.00040567186,0.025446447],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.992148,0.002047779,0.000616676,0.001711087,0.0023688038,0.0011077137],"domain_scores_gemma":[0.94310874,0.029738657,0.0056566736,0.014475549,0.004395288,0.0026251369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073219812,0.0015264271,0.001811716,0.0021014062,0.0015197998,0.004744855,0.0024987475,0.0024380626,0.014520478],"category_scores_gemma":[0.059558418,0.0010375615,0.0023303917,0.0012435676,0.0057851924,0.014859844,0.006029126,0.00688089,0.002598795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013571943,0.000065334374,0.003498448,0.00008100361,0.000045633544,0.00022194491,0.0002695916,0.0044077435,0.0008783539,0.9572198,0.0020066958,0.03116963],"study_design_scores_gemma":[0.000015526792,0.000038244434,0.0011098796,0.00003380059,0.00003617404,0.00029631567,0.000036783345,0.017931912,0.0011121321,0.97637516,0.0029815321,0.000032528937],"about_ca_topic_score_codex":0.0009914143,"about_ca_topic_score_gemma":0.0008982328,"teacher_disagreement_score":0.014520478,"about_ca_system_score_codex":0.001578307,"about_ca_system_score_gemma":0.0022857492,"threshold_uncertainty_score":0.04857582},"labels":[],"label_agreement":null},{"id":"W4389289480","doi":"10.33423/jabe.v25i6.6568","title":"A Cross-Cultural Multi-Country Analysis of Unfavorable News Announcements in Public Companies","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Stock (firearms); Shareholder; Business; Stock market; Stock price; Insider; Monetary economics; Insider trading; Corporate governance; Economics; Finance; Political science; Law","score_opus":0.05484066489401494,"score_gpt":0.2548810744878591,"score_spread":0.20004040959384417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389289480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993399,0.000054584263,0.00006005535,0.00003093791,0.0000042847337,0.0000028300083,0.00020592207,0.0000012710188,0.00030016134],"genre_scores_gemma":[0.9993001,0.000060939055,0.000057521233,0.000016150278,0.000007979047,0.0000042859156,0.00038874015,0.0000018748688,0.00016241599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923277,0.0003414471,0.000060043756,0.00011210646,0.000064839995,0.0001887919],"domain_scores_gemma":[0.99031305,0.003478922,0.004034566,0.00064653106,0.00073489966,0.00079209957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014230371,0.0002367077,0.00030367178,0.0013179599,0.0004802299,0.0012157029,0.00021571256,0.0003220178,0.0015030768],"category_scores_gemma":[0.004921826,0.00015890888,0.0006104184,0.0015058647,0.00036137796,0.0006639935,0.0010419615,0.00058517506,0.00028152418],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014821907,0.00011862275,0.9950808,0.000016215394,0.00033853314,0.00014461226,0.00057327986,0.00029216046,0.0002623664,0.000114605304,0.00029462887,0.0026158541],"study_design_scores_gemma":[0.000005078192,0.00006386996,0.9967499,0.000008261544,0.00014790041,0.00006209462,0.0016679217,0.0007545026,0.00019454442,0.000038777194,0.0002985398,0.000008655299],"about_ca_topic_score_codex":0.0150172515,"about_ca_topic_score_gemma":0.016386392,"teacher_disagreement_score":0.0150172515,"about_ca_system_score_codex":0.0003633316,"about_ca_system_score_gemma":0.00030972454,"threshold_uncertainty_score":0.029859662},"labels":[],"label_agreement":null},{"id":"W4389298444","doi":"10.5750/jpm.v17i1.2039","title":"Crash Prediction Using Fundamental Variables: Evidence from Mainland China","year":2023,"lang":"en","type":"article","venue":"The Journal of Prediction Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Equity (law); Crash; Econometrics; Earnings yield; Mainland China; Earnings; Economics; China; Stock (firearms); Financial economics; Portfolio; China mainland; Price–earnings ratio; Earnings per share; Finance; Computer science; Geography","score_opus":0.04930843489987076,"score_gpt":0.23901320807734894,"score_spread":0.1897047731774782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389298444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909616,0.00007811093,0.00020080386,0.000064667,0.000002327873,0.000004406049,0.0002508055,0.000005805705,0.00029678896],"genre_scores_gemma":[0.9990816,0.00007565377,0.000058507114,0.00001282131,0.0000049083405,0.000002085661,0.0006644191,0.0000013373484,0.00009862446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965525,0.000095775606,0.00003263991,0.000078802936,0.00007516639,0.0000623562],"domain_scores_gemma":[0.9962286,0.0010983425,0.0011171506,0.00052028144,0.00075230864,0.0002833712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015161327,0.00045670383,0.00032325336,0.0010960584,0.00039935086,0.0005824224,0.00055619725,0.00033068855,0.0011436995],"category_scores_gemma":[0.005003108,0.00016371148,0.0005128136,0.0009935574,0.00047382788,0.00079860166,0.00073483086,0.00036238515,0.00020903631],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055251487,0.00002922596,0.99227506,0.000013943596,0.00008249557,0.0000984138,0.00017760816,0.001622372,0.00016635585,0.00023319027,0.00031464375,0.004931509],"study_design_scores_gemma":[0.000007800449,0.0000638652,0.98461515,0.000007694887,0.000034971657,0.000046650424,0.00021068836,0.0142114945,0.00026585313,0.00026819925,0.00025907424,0.0000085882875],"about_ca_topic_score_codex":0.051704157,"about_ca_topic_score_gemma":0.05623755,"teacher_disagreement_score":0.051704157,"about_ca_system_score_codex":0.00049032824,"about_ca_system_score_gemma":0.0005753047,"threshold_uncertainty_score":0.10280645},"labels":[],"label_agreement":null},{"id":"W4389317654","doi":"10.2139/ssrn.4653083","title":"Carbon Risk and the Cost of Equity Capital: Evidence from China","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"China; Equity (law); Cost of capital; Cost of equity; Capital (architecture); Economics; Equity capital markets; Business; Monetary economics; Financial economics; Natural resource economics; Finance; Market economy; Political science; Private equity; Geography","score_opus":0.04076387155184004,"score_gpt":0.25330636728430095,"score_spread":0.21254249573246092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389317654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995895,0.0011948658,0.00009740847,0.0003071442,0.0000046651217,0.000004925462,0.0003093392,0.0000033488905,0.002183391],"genre_scores_gemma":[0.9986028,0.00073169044,0.000027546059,0.000022455459,0.000011015906,0.0000013474945,0.00025713595,0.0000010768161,0.0003449354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997397,0.00004100959,0.000018525872,0.000043674885,0.00009178449,0.000065340864],"domain_scores_gemma":[0.9960478,0.0013018003,0.0015800989,0.00022449018,0.000579777,0.00026610633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000782621,0.00034273067,0.0004068736,0.0018289699,0.0005146428,0.0012272653,0.00045779833,0.0005342494,0.0018278707],"category_scores_gemma":[0.002527458,0.0001653419,0.00041112417,0.003033089,0.0010490003,0.00091476616,0.00067104626,0.0005098228,0.00011804182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005510318,0.00012392571,0.9600929,0.00016537892,0.0003300484,0.0007944171,0.0005800711,0.004941752,0.0010340709,0.0076347697,0.0012712989,0.02248034],"study_design_scores_gemma":[0.000039674695,0.00009773503,0.9898544,0.00003651085,0.00018267806,0.00009658681,0.0005300491,0.0037931115,0.0008541801,0.0021785446,0.0023142113,0.00002239913],"about_ca_topic_score_codex":0.08899308,"about_ca_topic_score_gemma":0.09874282,"teacher_disagreement_score":0.08899308,"about_ca_system_score_codex":0.0018497206,"about_ca_system_score_gemma":0.0013139278,"threshold_uncertainty_score":0.17695016},"labels":[],"label_agreement":null},{"id":"W4389461484","doi":"10.1016/j.bir.2023.12.002","title":"Do psychological factors exert greater influence on investment decisions than physiological factors? Evidence from Borsa Istanbul","year":2023,"lang":"en","type":"article","venue":"Borsa Istanbul Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Investment (military); Economics; Quarter (Canadian coin); Monetary economics; Psychology; Demographic economics; Finance","score_opus":0.20839360119535139,"score_gpt":0.3309502829859407,"score_spread":0.12255668179058932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389461484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99387074,0.0026472535,0.00006225927,0.00043833102,0.000038934784,0.000005555722,0.0003397893,0.000003576073,0.0025935578],"genre_scores_gemma":[0.99761057,0.0013018608,0.00006684424,0.00011486291,0.000031888918,0.000005497904,0.00043619378,0.0000037611271,0.00042842637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907553,0.00029928432,0.000056265882,0.0001709809,0.00015585354,0.00024211162],"domain_scores_gemma":[0.99635065,0.001452001,0.0012320846,0.00016051438,0.00041672555,0.00038801625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016620908,0.00052689726,0.0005513303,0.0010249844,0.0006335812,0.0018280369,0.0005540599,0.0006589894,0.0035623126],"category_scores_gemma":[0.0025470294,0.0003039562,0.0005074972,0.0011415831,0.0009486344,0.0005945865,0.001142824,0.00079339446,0.0007843542],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012642299,0.00048271392,0.9632227,0.00041605718,0.00034510856,0.0011240402,0.003854123,0.00049200206,0.0008310164,0.0011232322,0.0021349238,0.024709856],"study_design_scores_gemma":[0.0000148839845,0.00014695305,0.9937674,0.00010228965,0.00005958956,0.000085640306,0.003382469,0.0001714075,0.00011823672,0.00010602129,0.0020342665,0.000010867384],"about_ca_topic_score_codex":0.030768162,"about_ca_topic_score_gemma":0.03598692,"teacher_disagreement_score":0.030768162,"about_ca_system_score_codex":0.001342487,"about_ca_system_score_gemma":0.0012593163,"threshold_uncertainty_score":0.061178148},"labels":[],"label_agreement":null},{"id":"W4389484470","doi":"10.1111/1911-3846.12923","title":"Climatic disasters and distracted analysts","year":2023,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China; Temple University; Social Sciences and Humanities Research Council of Canada; Kent State University; McGill University; Houston Advanced Research Center; Florida International University","keywords":"Salience (neuroscience); Earnings; Sample (material); Business; Intermediary; Actuarial science; Finance; Psychology","score_opus":0.1405113873503365,"score_gpt":0.323948896270164,"score_spread":0.1834375089198275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389484470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99942845,0.000056636993,0.00004128756,0.000058614,0.0000045567012,0.0000034043533,0.00007228709,0.000001376995,0.00033342149],"genre_scores_gemma":[0.99976796,0.000026032514,0.000026573138,0.000018294779,0.0000069280986,0.0000020104103,0.00008067847,4.964203e-7,0.000071035254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984079,0.00050451164,0.0001569928,0.00020059053,0.00047627962,0.00025368895],"domain_scores_gemma":[0.97067654,0.010348867,0.01321946,0.0012653109,0.0020872573,0.0024025203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023282275,0.00021723994,0.0002189883,0.0009273037,0.00047407908,0.0010887687,0.00041551518,0.00037552556,0.0011975442],"category_scores_gemma":[0.02051415,0.00017352444,0.00020873078,0.0007514538,0.0005763208,0.000640486,0.0009811873,0.00072168757,0.00018096648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001415292,0.000055665394,0.9950943,0.000006371697,0.00003462849,0.00007083161,0.0012770932,0.00041215878,0.00012903364,0.000060572318,0.00022557519,0.002492134],"study_design_scores_gemma":[0.0000061532673,0.000046878846,0.9960503,0.000006180833,0.0000110452165,0.000053647414,0.002407027,0.0008684606,0.00014938913,0.0001188021,0.00027402156,0.000008019803],"about_ca_topic_score_codex":0.019577885,"about_ca_topic_score_gemma":0.016996723,"teacher_disagreement_score":0.019577885,"about_ca_system_score_codex":0.0006171803,"about_ca_system_score_gemma":0.00057041005,"threshold_uncertainty_score":0.038927853},"labels":[],"label_agreement":null},{"id":"W4389489571","doi":"10.3390/jrfm16120510","title":"Are Cryptocurrency Forks Wealth Creating?","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Business; Economics; Monetary economics; Computer science; Computer security","score_opus":0.021314133102651185,"score_gpt":0.2256340812945978,"score_spread":0.20431994819194663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389489571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94345886,0.0011246193,0.0045170547,0.0029321937,0.0000649517,0.000032834596,0.00045888752,0.00011175026,0.047298744],"genre_scores_gemma":[0.9979152,0.00024510027,0.00017209207,0.00009772407,0.000013076408,0.0000035295614,0.00005946084,0.000009512292,0.0014843721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951744,0.000064596614,0.000018128621,0.00009754792,0.00010534739,0.00019692186],"domain_scores_gemma":[0.98726535,0.0061706523,0.0042157834,0.0007346061,0.0009817332,0.0006318464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012076268,0.00014529219,0.00032565775,0.00074332947,0.0006215474,0.0026073484,0.0003654963,0.0007405198,0.017224066],"category_scores_gemma":[0.015360076,0.0001610048,0.00023557564,0.0009021672,0.0014526997,0.0062486716,0.0008343017,0.0008979916,0.001236998],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012070906,0.00035720872,0.5696469,0.0006076441,0.00022397295,0.0015539437,0.0025446364,0.007408295,0.0043323096,0.22606309,0.016309833,0.1697451],"study_design_scores_gemma":[0.00023561461,0.00050875003,0.43958086,0.0005754681,0.00027863245,0.0021086468,0.012835025,0.025638307,0.007950159,0.45001397,0.060122315,0.00015231702],"about_ca_topic_score_codex":0.0022357386,"about_ca_topic_score_gemma":0.0028837984,"teacher_disagreement_score":0.017224066,"about_ca_system_score_codex":0.00070997106,"about_ca_system_score_gemma":0.0006314688,"threshold_uncertainty_score":0.057620287},"labels":[],"label_agreement":null},{"id":"W4389613469","doi":"10.3390/jrfm16120515","title":"Flight-to-Liquidity and Excess Stock Return: Empirical Evidence from a Dynamic Panel Model","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Stock exchange; Equity (law); Stock market; Economics; Monetary economics; Stock (firearms); Financial economics; Phenomenon; Financial crisis; Econometrics; Business; Market maker; Empirical research; Finance; Macroeconomics; Geography","score_opus":0.0876796436162213,"score_gpt":0.27042278642719864,"score_spread":0.18274314281097734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389613469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886552,0.0008979565,0.006946223,0.00061247026,0.000027204847,0.000022060824,0.0014712623,0.00007050796,0.0012971548],"genre_scores_gemma":[0.9959954,0.00046444117,0.00080045685,0.000060273946,0.000039667022,0.000012595428,0.0019242385,0.00000630146,0.0006967711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989999,0.0005082627,0.000060162612,0.00018692395,0.00008154095,0.00016320971],"domain_scores_gemma":[0.9887183,0.00816785,0.0017464156,0.000614838,0.00037136435,0.0003812406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029906586,0.0005482882,0.0009243243,0.001050592,0.000518842,0.0016231054,0.000981921,0.0012017905,0.003816433],"category_scores_gemma":[0.0077320803,0.00045372322,0.0012966995,0.0013072708,0.0005282797,0.0013145937,0.000980443,0.001517333,0.0007105641],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010855775,0.0006506043,0.8122747,0.00017330967,0.0018798913,0.0015643189,0.0004150847,0.14342812,0.00088134024,0.007412381,0.004732011,0.025502628],"study_design_scores_gemma":[0.00020944607,0.0006049009,0.33395317,0.00007686808,0.001032442,0.00040501726,0.00075702125,0.64789456,0.0006095161,0.011010519,0.0033223026,0.00012428514],"about_ca_topic_score_codex":0.01982044,"about_ca_topic_score_gemma":0.014643991,"teacher_disagreement_score":0.01982044,"about_ca_system_score_codex":0.00052504253,"about_ca_system_score_gemma":0.00054240256,"threshold_uncertainty_score":0.039410174},"labels":[],"label_agreement":null},{"id":"W4389903555","doi":"10.1111/jofi.13306","title":"Foreign Exchange Fixings and Returns around the Clock","year":2023,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Economic and Social Research Council; Systemic Risk Centre; Danmarks Frie Forskningsfond","keywords":"Liberian dollar; Economics; Monetary economics; Rate of return; Foreign exchange; Tracing; Business; Finance; Computer science","score_opus":0.04091649887323015,"score_gpt":0.22135757466308392,"score_spread":0.18044107578985377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389903555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947543,0.00015756936,0.00041486055,0.00021273679,0.000036354875,0.000009497419,0.00037344234,0.000026605658,0.004014495],"genre_scores_gemma":[0.9987037,0.0000795838,0.00013106655,0.00004794346,0.000020110503,0.000005323044,0.00025994057,0.0000078129215,0.0007444645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995889,0.000110011715,0.000048886028,0.00010227342,0.00010081984,0.00004918147],"domain_scores_gemma":[0.98959094,0.0028869486,0.0055219554,0.00075750524,0.0007663241,0.00047630974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00142955,0.00020616833,0.0002870672,0.00067175366,0.00025606476,0.0015995542,0.00028743417,0.0006230213,0.0054015126],"category_scores_gemma":[0.017232535,0.00013454608,0.00016119836,0.0006023165,0.00045552407,0.0007392918,0.0004987628,0.00072164735,0.0007604963],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030576976,0.00061616895,0.8984024,0.00009738244,0.00023771542,0.0006091768,0.00075626577,0.008681548,0.012406727,0.020670785,0.003913272,0.050550867],"study_design_scores_gemma":[0.00008889737,0.0006980766,0.97471774,0.0000353755,0.00010294107,0.0002546169,0.00077944354,0.005706437,0.004890209,0.0072952933,0.005368944,0.00006206409],"about_ca_topic_score_codex":0.0020540708,"about_ca_topic_score_gemma":0.00099898,"teacher_disagreement_score":0.0054015126,"about_ca_system_score_codex":0.00049464917,"about_ca_system_score_gemma":0.00017815354,"threshold_uncertainty_score":0.018069863},"labels":[],"label_agreement":null},{"id":"W4389993298","doi":"10.2139/ssrn.4660170","title":"Quality or Quantity: The Impact of Disclosure on Mutual Funds Net Flow Changes","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Quality (philosophy); Flow (mathematics); Actuarial science; Mathematics","score_opus":0.06327758090036371,"score_gpt":0.29849734169968856,"score_spread":0.23521976079932483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389993298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98668575,0.0011206451,0.0009641632,0.0034054646,0.00011797576,0.000015450662,0.00055137154,0.000040570958,0.007098651],"genre_scores_gemma":[0.9985122,0.00012193675,0.00005448312,0.00009725076,0.000084553794,0.0000012986587,0.000091098416,0.0000075518524,0.0010296787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985115,0.0005623736,0.00014812354,0.00019934177,0.0003168442,0.0002618232],"domain_scores_gemma":[0.91421306,0.060235817,0.01827145,0.0019926727,0.0022754367,0.0030115128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005207278,0.00023180884,0.000526314,0.00057880767,0.000351722,0.004355462,0.0005199175,0.0016541044,0.0088611385],"category_scores_gemma":[0.049903784,0.00021087904,0.0005950159,0.0007321753,0.0011557125,0.00389196,0.0011282832,0.0019809476,0.0006210201],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0099667255,0.0011936614,0.86767095,0.00038650312,0.00077402056,0.00071735104,0.0011875118,0.035781935,0.0052143973,0.021349901,0.0052200323,0.050536975],"study_design_scores_gemma":[0.00027155233,0.0012568433,0.93394405,0.00007238948,0.0006487203,0.00031097693,0.0012362126,0.031588078,0.0037294712,0.024432715,0.0024275747,0.00008130945],"about_ca_topic_score_codex":0.0030915283,"about_ca_topic_score_gemma":0.0022677882,"teacher_disagreement_score":0.0088611385,"about_ca_system_score_codex":0.0008896908,"about_ca_system_score_gemma":0.0005807791,"threshold_uncertainty_score":0.029643416},"labels":[],"label_agreement":null},{"id":"W4389993555","doi":"10.2139/ssrn.4660609","title":"Indexing and the Incorporation of Exogenous Information Shocks to Stock Prices","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Endogeneity; Search engine indexing; Currency; Economics; Index (typography); Stock (firearms); Monetary economics; Stock market index; Financial economics; Econometrics; Stock market; Computer science; Biology","score_opus":0.015443079236090203,"score_gpt":0.20222703543724424,"score_spread":0.18678395620115404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389993555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8790091,0.0019605525,0.07588013,0.0028889622,0.00067775336,0.0001152374,0.001333466,0.00075195124,0.037382882],"genre_scores_gemma":[0.9932064,0.00050844124,0.0029939006,0.000083264684,0.0001535684,0.000009749655,0.00020326879,0.00003756471,0.0028038872],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990921,0.00026822794,0.000116283176,0.00014657268,0.00026743385,0.00010951446],"domain_scores_gemma":[0.9834684,0.00956564,0.0033474292,0.0020983727,0.0011170793,0.00040309466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003113365,0.00038189415,0.0006313259,0.0015713291,0.0005128251,0.0068922383,0.0008904549,0.0014162402,0.0061280443],"category_scores_gemma":[0.03859065,0.00043193938,0.0004643356,0.0021638914,0.0009125663,0.004788077,0.0014244248,0.0012799278,0.00084043917],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024672018,0.0011942288,0.07988777,0.000526879,0.000354958,0.0012881838,0.0015449252,0.12004238,0.02717548,0.49336186,0.006668205,0.265488],"study_design_scores_gemma":[0.00036415798,0.00046318493,0.06367746,0.00011679496,0.0003097225,0.000299237,0.00048567806,0.5856958,0.011621809,0.32734036,0.009463754,0.00016209297],"about_ca_topic_score_codex":0.0034006871,"about_ca_topic_score_gemma":0.002594384,"teacher_disagreement_score":0.0068922383,"about_ca_system_score_codex":0.0014516487,"about_ca_system_score_gemma":0.00100679,"threshold_uncertainty_score":0.020500362},"labels":[],"label_agreement":null},{"id":"W4390014064","doi":"10.3390/jrfm17010004","title":"Reverse Stock Splits and Liquidity in ETFs","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Univariate; Business; Stock (firearms); Stock exchange; Liquidity risk; Monetary economics; Econometrics; Multivariate statistics; Financial economics; Economics; Finance; Statistics; Mathematics; Geography","score_opus":0.023233053644994714,"score_gpt":0.2138364590066578,"score_spread":0.1906034053616631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390014064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850756,0.00028350364,0.00032785724,0.000090018904,0.000005375189,0.0000040967816,0.000037203445,0.000003809051,0.00074058474],"genre_scores_gemma":[0.9996151,0.000055155877,0.00007421688,0.000012512876,0.00001636319,0.0000022933514,0.000041149025,9.875931e-7,0.00018230373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920076,0.000176428,0.00011235835,0.000107047985,0.00023918609,0.0001643043],"domain_scores_gemma":[0.98428255,0.0049571455,0.008565289,0.000615641,0.0006980176,0.0008813652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015896563,0.00023756188,0.00027531874,0.0008407063,0.00028483712,0.0016858373,0.00033993428,0.0005785914,0.0025927348],"category_scores_gemma":[0.014149972,0.00009766361,0.00026914306,0.0005431929,0.00089775334,0.0026067584,0.0014827176,0.0009459371,0.00023827665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003316348,0.0006374195,0.93031424,0.00010918272,0.00020568277,0.0017244205,0.0014764977,0.0052905814,0.006143673,0.009359516,0.0003177509,0.04110467],"study_design_scores_gemma":[0.00016577332,0.0016101423,0.95050484,0.00008613981,0.00021434297,0.0016966633,0.0024165187,0.00981154,0.007135172,0.023976974,0.0023248268,0.00005694824],"about_ca_topic_score_codex":0.00071472244,"about_ca_topic_score_gemma":0.00054971676,"teacher_disagreement_score":0.0025927348,"about_ca_system_score_codex":0.0003700252,"about_ca_system_score_gemma":0.00030073992,"threshold_uncertainty_score":0.008673608},"labels":[],"label_agreement":null},{"id":"W4390056728","doi":"10.1111/jfir.12380","title":"Tweets versus broadsheets: Sentiment impact on stock markets around the world","year":2023,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Stock (firearms); Business; Financial economics; History; Economics; Archaeology","score_opus":0.1408160585832333,"score_gpt":0.36935956628432376,"score_spread":0.22854350770109047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390056728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99598,0.000119750446,0.000095145246,0.00014854739,0.000034244775,0.0000055562414,0.0008154049,0.000010960611,0.0027904003],"genre_scores_gemma":[0.9988667,0.000076053984,0.000055557026,0.00003407244,0.000057365327,0.0000028193983,0.0005718233,0.0000056052254,0.0003299516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968934,0.000091253234,0.000027294998,0.00004343406,0.000094979514,0.000053758293],"domain_scores_gemma":[0.994789,0.0027321493,0.0015004585,0.0001286989,0.0005120976,0.00033761509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060397096,0.0002454076,0.00018422355,0.0009416708,0.00020839869,0.0012811152,0.00009868157,0.00026683407,0.0024894667],"category_scores_gemma":[0.0061343145,0.000074784584,0.00022360112,0.00085075415,0.00019876669,0.00091889896,0.0004920442,0.000471461,0.00056275603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013690771,0.00022822335,0.9549509,0.0001198549,0.00033246167,0.00020690632,0.00052355614,0.0014591725,0.0071050324,0.0003885796,0.0027204368,0.030595781],"study_design_scores_gemma":[0.000009948986,0.00015139933,0.9919482,0.000020121708,0.00009120831,0.00005962269,0.0007454855,0.0041413074,0.0014730457,0.00025763843,0.0010865034,0.000015543468],"about_ca_topic_score_codex":0.0025300244,"about_ca_topic_score_gemma":0.0029750383,"teacher_disagreement_score":0.0025300244,"about_ca_system_score_codex":0.00021808688,"about_ca_system_score_gemma":0.00010852579,"threshold_uncertainty_score":0.00832814},"labels":[],"label_agreement":null},{"id":"W4390060205","doi":"10.3905/jfds.2023.1.145","title":"Enhancing the Inverse Volatility Portfolio through Clustering","year":2023,"lang":"en","type":"article","venue":"The Journal of Financial Data Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CARE Canada","funders":"","keywords":"Volatility (finance); Portfolio; Econometrics; Pairwise comparison; Inverse; Sharpe ratio; Portfolio optimization; Volatility clustering; Stochastic volatility; Economics; Cluster analysis; Implied volatility; Computer science; Mathematics; Financial economics; Statistics; Autoregressive conditional heteroskedasticity","score_opus":0.09733052983039726,"score_gpt":0.281608047179705,"score_spread":0.18427751734930775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390060205","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037888896,0.00032429022,0.9587282,0.00018887919,0.00003574369,0.00006557983,0.00008546985,0.0005139628,0.0021689197],"genre_scores_gemma":[0.46167696,0.00037453434,0.53414965,0.00021652851,0.00010656184,0.000112421076,0.00065505225,0.000256415,0.0024519893],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977428,0.00078955304,0.00012520488,0.00047506846,0.0007266554,0.00014081996],"domain_scores_gemma":[0.9962876,0.0014712712,0.00037912533,0.0009861252,0.0007388695,0.000137101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032405898,0.00077160494,0.0010633371,0.002034483,0.00057792093,0.0019272895,0.0013620926,0.0009832615,0.0012656883],"category_scores_gemma":[0.012790182,0.00048024207,0.0007888614,0.0016775964,0.0006932922,0.0024408218,0.0026085763,0.0012026826,0.00057056395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028689604,0.00027402767,0.012348157,0.00020206421,0.0003509878,0.00018417412,0.00048748657,0.33997747,0.018821878,0.09010388,0.005079511,0.5318835],"study_design_scores_gemma":[0.00003272623,0.00009786138,0.0019957868,0.000023381514,0.000051581523,0.00016740551,0.0000605295,0.9338214,0.009889774,0.048801817,0.0050147525,0.0000431205],"about_ca_topic_score_codex":0.0010915597,"about_ca_topic_score_gemma":0.0010946206,"teacher_disagreement_score":0.0032405898,"about_ca_system_score_codex":0.00072658446,"about_ca_system_score_gemma":0.0010240634,"threshold_uncertainty_score":0.017138064},"labels":[],"label_agreement":null},{"id":"W4390228778","doi":"10.2139/ssrn.4675163","title":"Indexing and the Incorporation of Exogenous Information Shocks to Stock Prices","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Stock (firearms); Search engine indexing; Monetary economics; Business; Financial economics; Economics; Information retrieval; Computer science; Geography","score_opus":0.015443079236090203,"score_gpt":0.20222703543724424,"score_spread":0.18678395620115404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390228778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8790091,0.0019605525,0.07588013,0.0028889622,0.00067775336,0.0001152374,0.001333466,0.00075195124,0.037382882],"genre_scores_gemma":[0.9932064,0.00050844124,0.0029939006,0.000083264684,0.0001535684,0.000009749655,0.00020326879,0.00003756471,0.0028038872],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990921,0.00026822794,0.000116283176,0.00014657268,0.00026743385,0.00010951446],"domain_scores_gemma":[0.9834684,0.00956564,0.0033474292,0.0020983727,0.0011170793,0.00040309466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003113365,0.00038189415,0.0006313259,0.0015713291,0.0005128251,0.0068922383,0.0008904549,0.0014162402,0.0061280443],"category_scores_gemma":[0.03859065,0.00043193938,0.0004643356,0.0021638914,0.0009125663,0.004788077,0.0014244248,0.0012799278,0.00084043917],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024672018,0.0011942288,0.07988777,0.000526879,0.000354958,0.0012881838,0.0015449252,0.12004238,0.02717548,0.49336186,0.006668205,0.265488],"study_design_scores_gemma":[0.00036415798,0.00046318493,0.06367746,0.00011679496,0.0003097225,0.000299237,0.00048567806,0.5856958,0.011621809,0.32734036,0.009463754,0.00016209297],"about_ca_topic_score_codex":0.0034006871,"about_ca_topic_score_gemma":0.002594384,"teacher_disagreement_score":0.0068922383,"about_ca_system_score_codex":0.0014516487,"about_ca_system_score_gemma":0.00100679,"threshold_uncertainty_score":0.020500362},"labels":[],"label_agreement":null},{"id":"W4390367712","doi":"10.1007/s11424-023-2296-4","title":"How to Construct a Lower Risk FOF Based on Correlation Network? The Method of Principal Component Risk Parity Asset Allocation","year":2023,"lang":"en","type":"article","venue":"Journal of Systems Science and Complexity","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Principal component analysis; Portfolio; Asset allocation; Rate of return on a portfolio; Econometrics; Parity (physics); Portfolio optimization; Correlation; Computer science; Actuarial science; Economics; Mathematics; Statistics; Financial economics","score_opus":0.07331128018473328,"score_gpt":0.26840422902677435,"score_spread":0.1950929488420411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390367712","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065048086,0.000113457274,0.9919818,0.0001839959,0.000029586403,0.000018651797,0.00003416278,0.00011613699,0.0010174068],"genre_scores_gemma":[0.3399256,0.00062293553,0.6533781,0.00029599524,0.00023478175,0.00031501922,0.00040315939,0.00032546488,0.0044989344],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877316,0.0005895259,0.000059474514,0.00025203434,0.00022270989,0.00010293617],"domain_scores_gemma":[0.99700516,0.0017043558,0.00019429755,0.0004178855,0.00052440783,0.00015395434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028751502,0.00080940605,0.0013549557,0.0026840384,0.0007411473,0.0016924049,0.0012562769,0.0013463957,0.004975226],"category_scores_gemma":[0.0136965485,0.00044229566,0.0010354848,0.0014685624,0.0012229792,0.0043407846,0.0017959158,0.002098826,0.0009046739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000165017,0.00012886012,0.004092587,0.0002141009,0.00017620968,0.0001460317,0.00023641519,0.1991937,0.005167196,0.49476793,0.0060911602,0.28962082],"study_design_scores_gemma":[0.000015308255,0.00003605981,0.0005446679,0.000027251162,0.000031302246,0.000067392626,0.000026274756,0.8135867,0.0009073319,0.18253489,0.0021957404,0.000027104412],"about_ca_topic_score_codex":0.0021022472,"about_ca_topic_score_gemma":0.0010548277,"teacher_disagreement_score":0.004975226,"about_ca_system_score_codex":0.0007373435,"about_ca_system_score_gemma":0.0011106574,"threshold_uncertainty_score":0.016643822},"labels":[],"label_agreement":null},{"id":"W4390372272","doi":"10.3917/reco.pr2.0159","title":"10.3917/reco.pr2.0159","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.01467341595585665,"score_gpt":0.16192732983963043,"score_spread":0.1472539138837738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390372272","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030623851,0.0014015348,0.0017116308,0.004003918,0.0015234082,0.00012352552,0.013752749,0.0017727673,0.97264796],"genre_scores_gemma":[0.014080892,0.0011774949,0.0012782739,0.00092845084,0.0005369778,0.00011139449,0.0060887025,0.0008663437,0.9749315],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986331,0.00021602071,0.00012411557,0.00035114083,0.00048097764,0.00019464135],"domain_scores_gemma":[0.9949575,0.0010352152,0.0005203751,0.0010250395,0.0016789762,0.0007829468],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019824847,0.0011792589,0.0009528084,0.004266644,0.0015596293,0.0073095355,0.0013532032,0.003120996,0.9009844],"category_scores_gemma":[0.006845032,0.0005753258,0.0008864136,0.0050783674,0.0012113053,0.0035528655,0.0024762517,0.002003688,0.9069389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002575401,0.00021373741,0.0069771647,0.0004593417,0.000028826225,0.00023479859,0.0001540978,0.00049035175,0.00062732433,0.015540005,0.5438537,0.43116322],"study_design_scores_gemma":[0.000044032335,0.000033221346,0.0045576054,0.00025333132,0.0000130371645,0.00020667152,0.00023325025,0.00040084712,0.00026064957,0.0031466826,0.9908289,0.00002178273],"about_ca_topic_score_codex":0.008672427,"about_ca_topic_score_gemma":0.008237901,"teacher_disagreement_score":0.09901559,"about_ca_system_score_codex":0.002106928,"about_ca_system_score_gemma":0.0021579198,"threshold_uncertainty_score":0.14123362},"labels":[],"label_agreement":null},{"id":"W4390460188","doi":"10.61190/fsr.v31i4.3177","title":"Profile to Portfolio","year":2023,"lang":"en","type":"article","venue":"Financial Services Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Domtar (Canada); Centre for Social Innovation","funders":"","keywords":"Portfolio; Standard deviation; Actuarial science; Leverage (statistics); Econometrics; Modern portfolio theory; Risk–return spectrum; Economics; Business; Financial economics; Statistics; Mathematics","score_opus":0.02979190836512347,"score_gpt":0.24652132872041074,"score_spread":0.21672942035528728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390460188","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049955577,0.0016253564,0.665566,0.0025451912,0.0008000421,0.00085922197,0.0046663596,0.0027277663,0.27125448],"genre_scores_gemma":[0.44309047,0.0026497096,0.5015302,0.0015565865,0.00034713282,0.00096238917,0.003979522,0.001096871,0.044787154],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961569,0.0011813886,0.00030642643,0.00072159764,0.0014582194,0.00017545965],"domain_scores_gemma":[0.9921544,0.002600957,0.0011779241,0.002124366,0.001694479,0.00024784313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032023508,0.00066588155,0.00044840045,0.0025154003,0.00044305183,0.0052952524,0.0009712277,0.0006509459,0.025554191],"category_scores_gemma":[0.027930815,0.00021496582,0.00063023594,0.003216579,0.000718499,0.0047366587,0.0025140918,0.0011330065,0.007322418],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015970657,0.00008950742,0.009971752,0.000329678,0.0000802869,0.00008311648,0.0007941001,0.0087241465,0.0012543879,0.21155502,0.022422547,0.7445358],"study_design_scores_gemma":[0.000101831705,0.0006087383,0.023694446,0.0007945367,0.00010107973,0.0007783528,0.0020927198,0.03902062,0.00682906,0.34810102,0.5777637,0.00011395891],"about_ca_topic_score_codex":0.0011141277,"about_ca_topic_score_gemma":0.0006553602,"teacher_disagreement_score":0.025554191,"about_ca_system_score_codex":0.0010321671,"about_ca_system_score_gemma":0.0009342404,"threshold_uncertainty_score":0.08548725},"labels":[],"label_agreement":null},{"id":"W4390562219","doi":"10.1016/j.frl.2023.104969","title":"The impact of position limits on options trading","year":2024,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Autorité des Marchés Financiers","keywords":"Position (finance); Volatility (finance); Harm; Economics; Monetary economics; Financial economics; Business; Finance","score_opus":0.10126976893850155,"score_gpt":0.33909039573197586,"score_spread":0.23782062679347432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390562219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93908805,0.0021030118,0.006290723,0.0055955355,0.00028229316,0.000011304095,0.0002106001,0.00015512915,0.04626335],"genre_scores_gemma":[0.99761283,0.00021805911,0.0001932396,0.0000733275,0.0000594693,0.0000023826067,0.00002732867,0.000018910492,0.0017944488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99895453,0.000391187,0.00005877615,0.0001090701,0.00024058286,0.00024580827],"domain_scores_gemma":[0.9480548,0.04230342,0.0035474321,0.0014944458,0.0015966749,0.0030031935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029869555,0.00047780058,0.00084997946,0.00064874755,0.00089586835,0.005775228,0.0012411257,0.0024741136,0.015346812],"category_scores_gemma":[0.057709076,0.00046071573,0.00044269973,0.0005952496,0.0019957446,0.0055158776,0.0016461547,0.0034931772,0.0008645015],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007638939,0.0021833444,0.0429638,0.00048962154,0.0002264607,0.0044339825,0.0010506973,0.3228238,0.015495082,0.48527497,0.012327595,0.105091736],"study_design_scores_gemma":[0.00041089483,0.0008610343,0.026952315,0.000088314315,0.00016430042,0.0006417117,0.0012670974,0.43876314,0.0042298273,0.52264667,0.003830885,0.00014373871],"about_ca_topic_score_codex":0.0029988391,"about_ca_topic_score_gemma":0.0019061439,"teacher_disagreement_score":0.015346812,"about_ca_system_score_codex":0.00097053713,"about_ca_system_score_gemma":0.00095619145,"threshold_uncertainty_score":0.051340222},"labels":[],"label_agreement":null},{"id":"W4390579056","doi":"10.2139/ssrn.4684216","title":"Mean Reversion and Asymmetries in Equity and Capital Returns: The Case of Canada","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mean reversion; Equity (law); Economics; Reversion; Financial economics; Equity capital markets; Business; Monetary economics; Private equity; Finance; Political science","score_opus":0.015118470270592169,"score_gpt":0.21880556641404267,"score_spread":0.20368709614345049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390579056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9534362,0.0020875763,0.0014997408,0.0046130735,0.000025800124,0.000031088497,0.0006270976,0.000050616905,0.0376288],"genre_scores_gemma":[0.9941989,0.00040050602,0.0002784316,0.00007628997,0.000009053339,0.0000032245139,0.0000833661,0.000010138573,0.004940046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99918514,0.000073559226,0.000019691488,0.000099296194,0.00014377496,0.0004785561],"domain_scores_gemma":[0.9961862,0.0015797573,0.0005315442,0.00024026394,0.0009778702,0.00048445817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016416619,0.00024452803,0.0007288435,0.001131973,0.00293449,0.0044974424,0.0015547659,0.0022506274,0.006545835],"category_scores_gemma":[0.010010035,0.0002469749,0.00065522816,0.0020411965,0.0025543303,0.0025432429,0.0009673352,0.0023429953,0.00017485583],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090836827,0.0001731718,0.11403547,0.00015033406,0.00021928703,0.0030141931,0.0028257526,0.075595245,0.0012929011,0.7362182,0.019093404,0.046473652],"study_design_scores_gemma":[0.00052481896,0.00012242276,0.31562477,0.00017516328,0.0005731509,0.0009997883,0.009939611,0.2916867,0.0025057062,0.3356096,0.04167002,0.00056811277],"about_ca_topic_score_codex":0.98323464,"about_ca_topic_score_gemma":0.97689486,"teacher_disagreement_score":0.035114363,"about_ca_system_score_codex":0.035114363,"about_ca_system_score_gemma":0.02157607,"threshold_uncertainty_score":0.25477374},"labels":[],"label_agreement":null},{"id":"W4390907490","doi":"10.2139/ssrn.4675010","title":"The Battle of Factors","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Université du Québec à Montréal","funders":"","keywords":"Capital asset pricing model; Discounting; Profitability index; Battle; Economics; Financial economics; Econometrics; Value premium; Value (mathematics); Asset (computer security); Factor analysis; Consumption-based capital asset pricing model; Investment (military); Computer science; Finance; Mathematics; Statistics; Geography","score_opus":0.015691494655741968,"score_gpt":0.20955871304207754,"score_spread":0.19386721838633558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390907490","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035420272,0.0217139,0.03165064,0.120054975,0.00270424,0.000047171507,0.00034433216,0.0001224925,0.78794193],"genre_scores_gemma":[0.875386,0.0089526605,0.005276426,0.011983464,0.0023422495,0.000066475404,0.000166907,0.00020120159,0.09562464],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99775237,0.0007883454,0.00006525795,0.00061594014,0.0005298309,0.00024816117],"domain_scores_gemma":[0.99601525,0.0018267488,0.00033107388,0.00072846294,0.0006601216,0.00043835826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003984092,0.00079864817,0.0008011479,0.0016567957,0.0025678682,0.010624941,0.0008202083,0.003423989,0.02531856],"category_scores_gemma":[0.008987043,0.00042044854,0.00047029645,0.0016092361,0.014123462,0.012106338,0.0028681555,0.005244508,0.004092271],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015980093,0.00000513584,0.00026815178,0.000016682035,0.000008845267,0.000036081376,0.00042708885,0.0001450123,0.000058631405,0.985507,0.0047981194,0.0087132305],"study_design_scores_gemma":[0.000013379739,0.00001466453,0.0005804768,0.000090716676,0.000008443044,0.00007558641,0.00072293606,0.0003049763,0.00007818536,0.87099564,0.12710238,0.00001258317],"about_ca_topic_score_codex":0.0042705047,"about_ca_topic_score_gemma":0.0035426263,"teacher_disagreement_score":0.02531856,"about_ca_system_score_codex":0.003507721,"about_ca_system_score_gemma":0.0024824173,"threshold_uncertainty_score":0.084699035},"labels":[],"label_agreement":null},{"id":"W4390938315","doi":"10.2139/ssrn.4679966","title":"Asymmetric Violations of the Spanning Hypothesis","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Predictability; Yield curve; Bond; Economics; Inflation (cosmology); Econometrics; Maturity (psychological); Macro; Yield (engineering); Predictive power; Bond market; Interest rate; Financial economics; Monetary economics; Mathematics; Statistics; Finance; Computer science","score_opus":0.020976843714956867,"score_gpt":0.2065356253755954,"score_spread":0.18555878166063852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390938315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88054895,0.0003978352,0.06454234,0.0060058236,0.00021908866,0.000065917106,0.0005439381,0.00031436136,0.04736166],"genre_scores_gemma":[0.997008,0.00009709816,0.001252468,0.0002918953,0.00014824762,0.000017134691,0.00011954707,0.000037472535,0.0010282046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99588674,0.001285826,0.00033701138,0.0006507775,0.00095834694,0.00088125915],"domain_scores_gemma":[0.9277087,0.03978668,0.015029547,0.011568212,0.0028622795,0.0030446413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072779004,0.00029642473,0.0015227833,0.001349728,0.0011420469,0.0030691016,0.0016279023,0.00301632,0.015795114],"category_scores_gemma":[0.07054962,0.0004808027,0.0006652583,0.0016216842,0.00240827,0.0068331617,0.0025024225,0.0035540692,0.0014040386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008343346,0.0001610115,0.013501921,0.0001863041,0.00012283595,0.0012423313,0.0007755915,0.008454831,0.004722511,0.9286021,0.008803871,0.032592237],"study_design_scores_gemma":[0.000086011096,0.00007020536,0.006544559,0.000025256535,0.000026629219,0.0007595598,0.00026604635,0.030209132,0.0008871731,0.9595654,0.0015325783,0.000027487598],"about_ca_topic_score_codex":0.00039206477,"about_ca_topic_score_gemma":0.00023602461,"teacher_disagreement_score":0.015795114,"about_ca_system_score_codex":0.0005823991,"about_ca_system_score_gemma":0.00063993933,"threshold_uncertainty_score":0.052839935},"labels":[],"label_agreement":null},{"id":"W4390941939","doi":"10.1177/29767032231210519","title":"What is Quantum Finance and Economics?","year":2024,"lang":"en","type":"article","venue":"Quantum Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Economics; Neoclassical economics","score_opus":0.024004040005605853,"score_gpt":0.21269349845978694,"score_spread":0.18868945845418109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390941939","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044431128,0.18062702,0.06605632,0.60276663,0.012019319,0.000042737367,0.0004662674,0.00019969842,0.09339084],"genre_scores_gemma":[0.8228172,0.085415974,0.010188559,0.03381351,0.033323884,0.0000995791,0.00013170026,0.000106610394,0.014103023],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99832493,0.00079185487,0.00005486533,0.00016172128,0.0004704978,0.00019612293],"domain_scores_gemma":[0.98659873,0.009607442,0.0009483918,0.00070799596,0.0014259081,0.0007115032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035635233,0.00041281543,0.0016236732,0.002178645,0.0021003035,0.007844999,0.0011195543,0.0053608622,0.007110705],"category_scores_gemma":[0.017788602,0.00049597473,0.0005410938,0.003245908,0.012544819,0.01919275,0.0018225645,0.004195461,0.0007146999],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009983364,0.000027935772,0.00031287852,0.00008138093,0.000017285243,0.000020420772,0.00007729787,0.00050456676,0.00003360285,0.9807293,0.008242798,0.009942543],"study_design_scores_gemma":[0.000004267976,0.0000027871056,0.0001963412,0.000034166264,0.0000032293703,0.000014958412,0.000071123766,0.00078472507,0.000012350421,0.9909616,0.007906256,0.0000080458585],"about_ca_topic_score_codex":0.0053762817,"about_ca_topic_score_gemma":0.0023865518,"teacher_disagreement_score":0.007844999,"about_ca_system_score_codex":0.0034782405,"about_ca_system_score_gemma":0.0026727137,"threshold_uncertainty_score":0.025236547},"labels":[],"label_agreement":null},{"id":"W4391045752","doi":"10.2139/ssrn.4701390","title":"Competition or Spillover? Star Analyst Co-Coverage and Firms’ Information Environment","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Competition (biology); Proxy (statistics); Earnings; Star (game theory); Spillover effect; Business; Industrial organization; Economics; Accounting; Microeconomics; Computer science","score_opus":0.012818619932202195,"score_gpt":0.20663044643423184,"score_spread":0.19381182650202963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391045752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720311,0.0010143787,0.0022282635,0.0037790057,0.000021962569,0.000018300396,0.00048119732,0.00006446164,0.020361198],"genre_scores_gemma":[0.9989869,0.00011525053,0.0000636202,0.000062593914,0.000040600913,0.0000014815477,0.000059558766,0.0000033907465,0.0006666405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862695,0.00040996066,0.00008871439,0.00023815536,0.00021102132,0.00042519602],"domain_scores_gemma":[0.92898816,0.04668503,0.014871677,0.0020950956,0.0022115433,0.0051484057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032248944,0.00015795864,0.00080254,0.001779588,0.00046528224,0.003838366,0.00044148497,0.0013838151,0.015729379],"category_scores_gemma":[0.025159923,0.00022588341,0.0003415686,0.0016241156,0.0010859356,0.003109891,0.0014857571,0.0010310821,0.0011511578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018583593,0.0007837368,0.84681255,0.0002343486,0.0005575233,0.0013340059,0.0019121504,0.016278986,0.004151216,0.044013448,0.010363813,0.0716999],"study_design_scores_gemma":[0.00019031501,0.00059590937,0.877947,0.00008444855,0.0003956024,0.00088084734,0.003636319,0.034291327,0.0033070198,0.07018677,0.008368544,0.00011598706],"about_ca_topic_score_codex":0.003501696,"about_ca_topic_score_gemma":0.0036582837,"teacher_disagreement_score":0.015729379,"about_ca_system_score_codex":0.0007972228,"about_ca_system_score_gemma":0.00070443517,"threshold_uncertainty_score":0.052619994},"labels":[],"label_agreement":null},{"id":"W4391127749","doi":"10.1016/j.najef.2024.102078","title":"Asset pricing for the lottery-like security under probability weighting: Based on generalized Wang transform","year":2024,"lang":"en","type":"article","venue":"The North American Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Lottery; Kurtosis; Weighting; Econometrics; Skewness; Economics; Actuarial science; Probability distribution; Asset (computer security); Microeconomics; Financial economics; Mathematics; Computer science; Statistics; Computer security","score_opus":0.024986754421530217,"score_gpt":0.21574820951539025,"score_spread":0.19076145509386003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391127749","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06734091,0.00036952624,0.9279562,0.00067760603,0.00011963721,0.000051441875,0.00005447836,0.00010039588,0.0033297623],"genre_scores_gemma":[0.8834638,0.0010841825,0.09965908,0.0003486547,0.00036270157,0.00014300643,0.00020995842,0.00018914655,0.014539401],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99904126,0.00048334224,0.000044499408,0.00012384202,0.00018587097,0.00012109189],"domain_scores_gemma":[0.9956327,0.0028224871,0.00032180446,0.0003203008,0.000504327,0.0003984403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046709315,0.00081883,0.0020475392,0.001363624,0.0005424111,0.0022467503,0.0020476114,0.0017977597,0.0050125094],"category_scores_gemma":[0.013576613,0.00058549945,0.0017193919,0.0016057312,0.0024972067,0.006219447,0.001510904,0.0020810547,0.000493327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104934465,0.00009672421,0.0008261685,0.00008943906,0.00006452556,0.00018093844,0.000117750686,0.19163491,0.0014485259,0.78877187,0.0016664254,0.014997754],"study_design_scores_gemma":[0.000009055007,0.000013595638,0.00012575559,0.000005232965,0.000009118126,0.000038556052,0.000009711788,0.91134214,0.00009997161,0.08816829,0.00016408693,0.000014421133],"about_ca_topic_score_codex":0.0021888649,"about_ca_topic_score_gemma":0.0016696436,"teacher_disagreement_score":0.0050125094,"about_ca_system_score_codex":0.0011173493,"about_ca_system_score_gemma":0.0014130682,"threshold_uncertainty_score":0.024702549},"labels":[],"label_agreement":null},{"id":"W4391147510","doi":"10.2139/ssrn.4703467","title":"Twitter and Cryptocurrency Pump-and-Dumps","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; HEC Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Cryptocurrency; Business; Computer security; Computer science","score_opus":0.02286322121724956,"score_gpt":0.2309177586703768,"score_spread":0.20805453745312724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391147510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6402599,0.00771135,0.029393937,0.049550314,0.0023566785,0.00009700004,0.016096981,0.0018990653,0.25263467],"genre_scores_gemma":[0.98115957,0.00088189973,0.00075797085,0.00045990685,0.0003006938,0.000012261504,0.0010233212,0.000112496484,0.015291871],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99946636,0.00017016123,0.00002716627,0.00008437356,0.00013453739,0.00011743717],"domain_scores_gemma":[0.99073875,0.0050798506,0.0020692607,0.00074730866,0.00068665436,0.0006781649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001057879,0.00035203432,0.00033801133,0.0009970678,0.0007256918,0.003802135,0.0004342814,0.0017036962,0.040094856],"category_scores_gemma":[0.016108867,0.00027091042,0.00025571176,0.001968018,0.0008308494,0.00483607,0.0010119462,0.0014586396,0.0054833065],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023977358,0.0002872922,0.15963262,0.00045950862,0.00024203576,0.0011904774,0.0009253356,0.022640977,0.0018681673,0.42346644,0.23313646,0.15375291],"study_design_scores_gemma":[0.00035396515,0.0003138312,0.08944973,0.00038575032,0.00027213548,0.0014681021,0.00475774,0.2635581,0.0068933526,0.4216375,0.21067654,0.00023325693],"about_ca_topic_score_codex":0.0057586245,"about_ca_topic_score_gemma":0.0060963053,"teacher_disagreement_score":0.040094856,"about_ca_system_score_codex":0.0009893883,"about_ca_system_score_gemma":0.00059233553,"threshold_uncertainty_score":0.13413066},"labels":[],"label_agreement":null},{"id":"W4391262030","doi":"10.54097/6htdh113","title":"Investment Decision among Intercontinental, Hilton and Louis Vuitton","year":2024,"lang":"en","type":"article","venue":"Highlights in Business Economics and Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Earl Haig Secondary School","funders":"","keywords":"Insider trading; Business; Investment (military); Finance; Insider; Financial economics; Economics","score_opus":0.013911557794087223,"score_gpt":0.1961220304527496,"score_spread":0.18221047265866236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391262030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99489236,0.00014310608,0.00008868818,0.00041727364,0.000005842384,0.0000051538696,0.000008832023,0.000001332048,0.004437407],"genre_scores_gemma":[0.9930293,0.00009891378,0.000112174785,0.00010263908,0.000003208069,0.0000030306464,0.00001191073,8.078013e-7,0.0066380287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997714,0.000081185,0.0000065770473,0.000027739223,0.000028354363,0.000084803694],"domain_scores_gemma":[0.9994505,0.00009812022,0.000120190634,0.000009154129,0.00004974891,0.00027215097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005568468,0.00010641933,0.000076422395,0.00030713927,0.0010148411,0.0015048942,0.00016419971,0.00038085508,0.0033375542],"category_scores_gemma":[0.0011323544,0.00006802594,0.00007085705,0.0002516835,0.0003479278,0.0005034884,0.0005048987,0.0003457651,0.00017515669],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004928857,0.00046173346,0.88587517,0.000022397358,0.000043642754,0.0035340958,0.00711003,0.0033296628,0.0019029278,0.015625495,0.005851023,0.07575087],"study_design_scores_gemma":[0.0000588871,0.0008033514,0.82591265,0.0002067172,0.00006262769,0.0020060462,0.079539835,0.016683765,0.0025640388,0.005979114,0.06609265,0.000090327616],"about_ca_topic_score_codex":0.017837556,"about_ca_topic_score_gemma":0.06520921,"teacher_disagreement_score":0.017837556,"about_ca_system_score_codex":0.0016380847,"about_ca_system_score_gemma":0.00079045555,"threshold_uncertainty_score":0.035467446},"labels":[],"label_agreement":null},{"id":"W4391265441","doi":"10.3126/jobs.v2i1.62195","title":"Effect of Behavioral Biases on Investment Decision Making in Nepalese Stock Market with the Mediating Role of Investors’ Sentiment","year":2023,"lang":"en","type":"article","venue":"Journal of Bhuwanishankar","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Stock market; Behavioral economics; Monetary economics; Investment (military); Business; Stock (firearms); Investment decisions; Market sentiment; Financial economics; Economics; Finance; Biology; Engineering; Political science","score_opus":0.03078436699518281,"score_gpt":0.2727142756666647,"score_spread":0.24192990867148187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391265441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987675,0.00004608998,0.000051624582,0.00007232945,0.000002497872,0.000005635046,0.000014025248,7.8309927e-7,0.0010395455],"genre_scores_gemma":[0.9995466,0.00006607052,0.000082870836,0.000027132204,0.0000036960173,0.000003616423,0.000021047277,3.859902e-7,0.0002485114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958783,0.00013714726,0.000046639405,0.000048925715,0.0000987247,0.00008076933],"domain_scores_gemma":[0.99646854,0.0015532096,0.0013448308,0.00013115829,0.00022848793,0.00027382074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009561736,0.00019545465,0.00020906184,0.00038353156,0.00031587988,0.0011084889,0.00014338054,0.0003784297,0.0016478436],"category_scores_gemma":[0.004908998,0.00013640185,0.00027667577,0.0002641094,0.0002849292,0.00057753193,0.00042164905,0.00054459856,0.00015265607],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013490336,0.00019977317,0.9880102,0.000029732224,0.00008180118,0.00023161544,0.0015674859,0.00020135498,0.00087787356,0.00022463029,0.00010116802,0.008339445],"study_design_scores_gemma":[0.0000046167943,0.00008669828,0.99613994,0.000016669213,0.000030216566,0.00005339773,0.0016815094,0.0012416026,0.0002166799,0.00022443454,0.00029681154,0.000007465827],"about_ca_topic_score_codex":0.003813378,"about_ca_topic_score_gemma":0.0073047555,"teacher_disagreement_score":0.003813378,"about_ca_system_score_codex":0.00037836222,"about_ca_system_score_gemma":0.00044948614,"threshold_uncertainty_score":0.0075823665},"labels":[],"label_agreement":null},{"id":"W4391361335","doi":"10.1111/1911-3846.12935","title":"Local information advantage and stock returns: Evidence from social media","year":2024,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Predictability; Stock (firearms); Social media; Business; Information transmission; Private information retrieval; Financial economics; Econometrics; Information asymmetry; Economics; Finance; Geography; Political science; Computer science; Statistics","score_opus":0.12100781277288691,"score_gpt":0.3189604728140552,"score_spread":0.1979526600411683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391361335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99527884,0.00035217882,0.00023309454,0.00030629535,0.000009755642,0.0000075886214,0.0015752425,0.000014223836,0.0022227874],"genre_scores_gemma":[0.99867177,0.00019024794,0.00010359515,0.000035598514,0.000059853497,0.0000042826,0.00075070746,0.000004243951,0.00017967194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915934,0.00026321123,0.00008419767,0.00016710025,0.00023189311,0.00009423274],"domain_scores_gemma":[0.97226095,0.010526972,0.013060256,0.0014436723,0.0016490637,0.0010591173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012950987,0.00024742412,0.00036470237,0.0033585285,0.00030244526,0.001856399,0.00030111804,0.00053482054,0.0029478357],"category_scores_gemma":[0.012570227,0.00019385737,0.0002183124,0.0032208946,0.0005119867,0.0018026112,0.0010903042,0.0005244336,0.00059814093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023196872,0.00011667279,0.9827216,0.000082766295,0.00026652092,0.00019863316,0.000554229,0.00044188867,0.0007301427,0.00052859687,0.001223062,0.012903919],"study_design_scores_gemma":[0.000012746264,0.00005194138,0.9947685,0.000031907734,0.00007616504,0.000140571,0.000773683,0.0018740612,0.0003742366,0.0005806686,0.0012981142,0.000017396258],"about_ca_topic_score_codex":0.0036877631,"about_ca_topic_score_gemma":0.0044965437,"teacher_disagreement_score":0.0036877631,"about_ca_system_score_codex":0.00026839427,"about_ca_system_score_gemma":0.00013125765,"threshold_uncertainty_score":0.009861469},"labels":[],"label_agreement":null},{"id":"W4391392484","doi":"10.1007/s11146-024-09977-0","title":"Correction to: Unpledged Collateral, REIT Liquidity Constraints, and Asset Sales","year":2024,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate investment trust; Market liquidity; Collateral; Business; Asset (computer security); Finance; Monetary economics; Economics; Computer science; Real estate; Computer security","score_opus":0.022817091332740742,"score_gpt":0.2276839980053154,"score_spread":0.20486690667257468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391392484","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002452862,0.0010935111,0.00063663855,0.06290856,0.9227668,0.00002908558,0.006832219,0.00032076065,0.0051671374],"genre_scores_gemma":[0.032276005,0.006108884,0.0034855385,0.052628774,0.5018114,0.00026935528,0.008577586,0.001679923,0.39316255],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973863,0.00044183186,0.0005646513,0.00046570585,0.00083312835,0.00030838308],"domain_scores_gemma":[0.95509404,0.010489235,0.0014793319,0.0031825427,0.028201247,0.0015536264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031125054,0.002162644,0.0022466208,0.004901346,0.0033107668,0.0049446393,0.003415808,0.006559733,0.13620885],"category_scores_gemma":[0.066843435,0.0011263019,0.0017352502,0.004427268,0.0020018218,0.003638546,0.0018422419,0.008985336,0.05684355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016893548,0.0000031264942,0.0000751346,0.000051204428,0.0000057749035,0.000048521837,0.000023051467,0.000031706528,0.000011100263,0.000940012,0.99743026,0.0013632323],"study_design_scores_gemma":[0.000086640146,0.0000139390195,0.0028800382,0.00030936854,0.000034610264,0.00021604016,0.00016151785,0.00046597034,0.00020467969,0.0037882796,0.9917848,0.000054023792],"about_ca_topic_score_codex":0.056993116,"about_ca_topic_score_gemma":0.06339668,"teacher_disagreement_score":0.13620885,"about_ca_system_score_codex":0.0043738647,"about_ca_system_score_gemma":0.0061774873,"threshold_uncertainty_score":0.45566398},"labels":[],"label_agreement":null},{"id":"W4391427017","doi":"10.1080/1351847x.2024.2308634","title":"Institutionalization and prudence attitude in an imperfect competitive market","year":2024,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Prudence; Institutionalisation; Information asymmetry; Institution; Economics; Perfect information; Imperfect; Nonmarket forces; Market power; Transaction cost; Microeconomics; Business; Financial economics; Factor market","score_opus":0.025183887467783734,"score_gpt":0.23001411428856047,"score_spread":0.20483022682077673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391427017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96019286,0.000102989274,0.028460676,0.0008372047,0.000010673377,0.000042563533,0.00003514546,0.00005190799,0.0102660535],"genre_scores_gemma":[0.99894506,0.00001981518,0.00072036096,0.00002426207,0.0000069632815,0.0000050083945,0.0000052316464,0.0000017435768,0.0002715973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99814904,0.00090015546,0.000107993576,0.00024482593,0.0002347007,0.00036332407],"domain_scores_gemma":[0.97220695,0.011697146,0.011159765,0.0021368447,0.001102997,0.0016963149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048574684,0.00028144152,0.0006987576,0.00057825155,0.0006474004,0.002720583,0.0006561574,0.0013326552,0.0033900426],"category_scores_gemma":[0.019865096,0.00031716662,0.00048813972,0.00036585517,0.0030231618,0.003430618,0.0013224839,0.0011202706,0.00020860285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014073588,0.0012580797,0.076595366,0.00025283475,0.0004452379,0.0016053593,0.0013979868,0.17595826,0.0108856065,0.69248724,0.0016685693,0.036038075],"study_design_scores_gemma":[0.00033397376,0.0006584972,0.044863474,0.000047356443,0.00014777867,0.00032247495,0.0008487503,0.42984203,0.0024457322,0.5184499,0.0019379448,0.000102035534],"about_ca_topic_score_codex":0.001192631,"about_ca_topic_score_gemma":0.00080023677,"teacher_disagreement_score":0.0048574684,"about_ca_system_score_codex":0.0012063151,"about_ca_system_score_gemma":0.0008889727,"threshold_uncertainty_score":0.025689065},"labels":[],"label_agreement":null},{"id":"W4391474455","doi":"10.1108/mf-02-2023-0111","title":"Can the Sell in May effect be enhanced by a size tilt?","year":2024,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tilt (camera); Business; Monetary economics; Psychology; Economics; Advertising; Mathematics; Geometry","score_opus":0.010259297546183445,"score_gpt":0.203896217768203,"score_spread":0.19363692022201956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391474455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8349445,0.0038470437,0.004442269,0.0140074445,0.00038050444,0.00016724919,0.0016504521,0.00034248258,0.14021805],"genre_scores_gemma":[0.99321073,0.00027650027,0.00038387984,0.00071892276,0.00007164136,0.000006460229,0.00015237952,0.000043747903,0.00513583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983564,0.00014142244,0.0000629975,0.00025657873,0.0007802865,0.00040231107],"domain_scores_gemma":[0.98431474,0.0057230857,0.0041058445,0.0013087697,0.002768088,0.0017795041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00243927,0.0004728729,0.0008389577,0.0008973975,0.0013946659,0.0030525404,0.001268539,0.00080883864,0.017348135],"category_scores_gemma":[0.018029982,0.00022631694,0.0009906518,0.0010453132,0.0034383195,0.0016480514,0.0016429817,0.001543611,0.0007279113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018742292,0.0002821202,0.821931,0.00048680775,0.00075876206,0.0015874499,0.002920203,0.0029288365,0.0048530516,0.062657945,0.014849715,0.08486984],"study_design_scores_gemma":[0.0000732627,0.00021512168,0.9617884,0.000143373,0.00053036667,0.00020057455,0.0041853525,0.0021883748,0.0021690505,0.011715387,0.016716594,0.00007417947],"about_ca_topic_score_codex":0.47337016,"about_ca_topic_score_gemma":0.5270557,"teacher_disagreement_score":0.47337016,"about_ca_system_score_codex":0.00754927,"about_ca_system_score_gemma":0.009189703,"threshold_uncertainty_score":0.9412297},"labels":[],"label_agreement":null},{"id":"W4391543028","doi":"10.3390/jrfm17020059","title":"Comparative Analysis of Stock Bubble in S&amp;P 500 Individual Stocks: A Study Using SADF and GSADF Models","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bubble; Stock (firearms); Biology; Econometrics; Economics; Geography; Mechanics; Physics; Archaeology","score_opus":0.07290344708717436,"score_gpt":0.2796161159108875,"score_spread":0.2067126688237131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391543028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923964,0.00019977352,0.00650848,0.00010096771,0.0000075374032,0.000010004311,0.00014464611,0.000022173697,0.00060999836],"genre_scores_gemma":[0.99808645,0.0000833154,0.0013739421,0.00000824155,0.0000081366115,0.0000068249688,0.00021287533,0.0000032801256,0.00021706209],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970514,0.000103969614,0.000021816859,0.00006330764,0.000054744323,0.000051031697],"domain_scores_gemma":[0.9953111,0.003670582,0.00039283436,0.00015636605,0.00030908175,0.00016001755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019564368,0.0003129558,0.0004697962,0.0013568347,0.00023276293,0.00079864246,0.00052248646,0.00059865793,0.0009067385],"category_scores_gemma":[0.005913967,0.00013856278,0.0008509094,0.00064556557,0.00027272347,0.001057298,0.00036971527,0.00047043886,0.00008402456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005348421,0.00031475467,0.55256534,0.0001385488,0.0006590237,0.0009817551,0.0005019697,0.36743408,0.0023011721,0.018735394,0.0015973375,0.054235756],"study_design_scores_gemma":[0.000008351991,0.00009955548,0.052997798,0.000008293984,0.00005350621,0.000087306806,0.00015093149,0.94416493,0.00031081776,0.0018363799,0.00026541392,0.000016646689],"about_ca_topic_score_codex":0.019275403,"about_ca_topic_score_gemma":0.010718712,"teacher_disagreement_score":0.019275403,"about_ca_system_score_codex":0.0006081556,"about_ca_system_score_gemma":0.00044765498,"threshold_uncertainty_score":0.038326383},"labels":[],"label_agreement":null},{"id":"W4391645642","doi":"10.2139/ssrn.4701717","title":"Return Definition Puzzle: The Case for Midpoint Returns","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Midpoint; Mathematics; Economics; Econometrics; Geometry","score_opus":0.03150081518135545,"score_gpt":0.2293559003748288,"score_spread":0.19785508519347336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391645642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23044816,0.0076779122,0.33561215,0.13721727,0.0021139798,0.00014903402,0.0013217309,0.0016292969,0.28383052],"genre_scores_gemma":[0.941381,0.001412645,0.03666007,0.0049716737,0.0013942851,0.0000907164,0.00034056386,0.0005663652,0.013182716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964007,0.00094778405,0.00025674907,0.0008791539,0.0012180483,0.00029748047],"domain_scores_gemma":[0.97484016,0.011459168,0.0033266698,0.0066874046,0.0026172472,0.001069314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00942945,0.00050889427,0.0012894929,0.0013708743,0.0013309548,0.006852505,0.0033066755,0.0044941623,0.01696137],"category_scores_gemma":[0.08812308,0.0004634029,0.0007553307,0.0018556515,0.0044097323,0.016797652,0.003560754,0.012100488,0.0027841006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119645156,0.000038343685,0.0023153143,0.000058332025,0.000019823205,0.00015011115,0.00030706194,0.0005383978,0.00047135682,0.9532534,0.008479647,0.03424859],"study_design_scores_gemma":[0.000056359553,0.000034464847,0.004007653,0.000082036444,0.000014663075,0.0004793546,0.00024923222,0.005208089,0.00073149963,0.97129244,0.017810019,0.00003416763],"about_ca_topic_score_codex":0.00090363884,"about_ca_topic_score_gemma":0.0006141672,"teacher_disagreement_score":0.01696137,"about_ca_system_score_codex":0.0013748346,"about_ca_system_score_gemma":0.00094641675,"threshold_uncertainty_score":0.056741416},"labels":[],"label_agreement":null},{"id":"W4391743702","doi":"10.1093/jjfinec/nbag006","title":"Multi-Factor Timing with Deep Learning","year":2024,"lang":"en","type":"article","venue":"Journal of Financial Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Guelph; University of Waterloo","funders":"","keywords":"Leverage (statistics); Artificial neural network; Computer science; Artificial intelligence; Deep learning; Profitability index; Machine learning; Task (project management); Deep neural networks; Factor (programming language); Recurrent neural network; Economics; Finance","score_opus":0.055283575377798905,"score_gpt":0.232074640129933,"score_spread":0.1767910647521341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391743702","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07547735,0.00087566563,0.91709274,0.00077425566,0.00013042895,0.000023072102,0.00049318426,0.0011737323,0.0039596097],"genre_scores_gemma":[0.9448411,0.00031694068,0.048272725,0.00016009777,0.00009297952,0.00003997001,0.00053341937,0.00009717684,0.0056455387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997563,0.00005159109,0.00001451454,0.00007608906,0.000046652338,0.000054917644],"domain_scores_gemma":[0.99904364,0.00046919548,0.0001654856,0.00011591737,0.00013343127,0.00007229269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008814155,0.0007938115,0.0006885953,0.00045033408,0.00023343056,0.00096678094,0.0009929399,0.0010066609,0.0041125105],"category_scores_gemma":[0.004251435,0.00046463072,0.00051739725,0.00059459155,0.00058554026,0.0017554967,0.0010437956,0.001575494,0.0006319492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012331686,0.00004409091,0.0032661585,0.00004110618,0.0000588353,0.000090788635,0.000021248889,0.90946895,0.0011760924,0.021315875,0.00203196,0.06236149],"study_design_scores_gemma":[0.00000274392,0.000006833927,0.00012872509,0.0000036705808,0.0000028302172,0.000005110644,0.0000011444843,0.99221694,0.00021796992,0.0072044455,0.00020695987,0.000002643351],"about_ca_topic_score_codex":0.0075102686,"about_ca_topic_score_gemma":0.0076774037,"teacher_disagreement_score":0.0075102686,"about_ca_system_score_codex":0.0008340271,"about_ca_system_score_gemma":0.0009577186,"threshold_uncertainty_score":0.014933109},"labels":[],"label_agreement":null},{"id":"W4391746270","doi":"10.3390/jrfm17020070","title":"Almost Perfect Shadow Prices","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shadow price; Transaction cost; Economics; Volatility (finance); Shadow (psychology); Order (exchange); Database transaction; Risk aversion (psychology); Order book; Contrast (vision); Mathematical economics; Ansatz; Term (time); Microeconomics; Econometrics; Mathematical optimization; Expected utility hypothesis; Computer science; Mathematics; Finance","score_opus":0.0123630767033217,"score_gpt":0.20101507199502752,"score_spread":0.18865199529170582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391746270","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11058826,0.0011458452,0.7958053,0.0013153038,0.0002844666,0.00006972091,0.0003272842,0.00041282226,0.09005098],"genre_scores_gemma":[0.9650996,0.00049927295,0.023821317,0.0002469719,0.0001091389,0.000043982072,0.000072460534,0.00007550888,0.010031685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99844116,0.0004181694,0.00010578435,0.00029067334,0.0004821186,0.0002620271],"domain_scores_gemma":[0.99689627,0.0012083029,0.000521403,0.0007585262,0.00041522266,0.00020030573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015759307,0.00071410596,0.0011095401,0.00045474878,0.00058713235,0.0032850215,0.0009987083,0.001667957,0.009552793],"category_scores_gemma":[0.010258115,0.00051621126,0.00058207585,0.0005106182,0.0024097254,0.004830494,0.0015287175,0.0013441087,0.0013029161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027983524,0.000017041652,0.00022480152,0.000041823245,0.000016565515,0.00009533994,0.00004077034,0.03689256,0.0010759708,0.9518298,0.0014700787,0.008267355],"study_design_scores_gemma":[0.00001790114,0.000029583369,0.00017693844,0.0000145933,0.0000075530265,0.000118721524,0.000027813541,0.13507472,0.0007158019,0.86092573,0.0028738452,0.000016774087],"about_ca_topic_score_codex":0.00064549944,"about_ca_topic_score_gemma":0.00046791713,"teacher_disagreement_score":0.009552793,"about_ca_system_score_codex":0.0011105181,"about_ca_system_score_gemma":0.0010439169,"threshold_uncertainty_score":0.03195733},"labels":[],"label_agreement":null},{"id":"W4391749923","doi":"10.1017/s0022109024000048","title":"Book-to-Market, Mispricing, and the Cross Section of Corporate Bond Returns","year":2024,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Hong Kong University of Science and Technology","keywords":"Section (typography); Corporate bond; Bond; Bond market; Financial economics; Economics; Business; Financial system; Monetary economics; Finance; Advertising","score_opus":0.03307801282794989,"score_gpt":0.26293906771364,"score_spread":0.2298610548856901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391749923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99799794,0.00022938465,0.0006975308,0.0000679101,0.000005802919,0.00000405089,0.0002854602,0.000030084759,0.0006818766],"genre_scores_gemma":[0.9990483,0.00006359342,0.00012442489,0.000009966324,0.000012348963,0.000002834665,0.0003303807,0.000006031579,0.00040208016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937856,0.00019442994,0.00006934623,0.00014937374,0.0001439831,0.00006427371],"domain_scores_gemma":[0.96377766,0.022665275,0.0073974393,0.0024858231,0.0016364829,0.0020373792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030591658,0.00034786572,0.00030788893,0.0010210974,0.00013674684,0.0009764425,0.0004755258,0.00085494743,0.0036062251],"category_scores_gemma":[0.020497456,0.00026263917,0.00037963712,0.0007448998,0.00023856151,0.0009933477,0.0003787525,0.0007740894,0.0013836412],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016460862,0.00010169891,0.9892954,0.000006834292,0.00019842622,0.0000968964,0.000039220125,0.0032245498,0.0006828338,0.00040366765,0.00026935467,0.005516433],"study_design_scores_gemma":[0.000006225553,0.00011172218,0.97238165,0.0000065309905,0.000046833866,0.0002022869,0.00003956159,0.02538871,0.0008777034,0.0007335033,0.00019231334,0.000012934655],"about_ca_topic_score_codex":0.0022637383,"about_ca_topic_score_gemma":0.001374521,"teacher_disagreement_score":0.0036062251,"about_ca_system_score_codex":0.0002328051,"about_ca_system_score_gemma":0.00013741673,"threshold_uncertainty_score":0.016178608},"labels":[],"label_agreement":null},{"id":"W4391753749","doi":"10.3390/jrfm17020071","title":"Do Consumption-Based Asset Pricing Models Explain the Dynamics of Stock Market Returns?","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Economic and Social Research Council","keywords":"Predictability; Capital asset pricing model; Econometrics; Economics; Stock (firearms); Financial economics; Ex-ante; Mathematics; Statistics","score_opus":0.023285034073272343,"score_gpt":0.22122434221997522,"score_spread":0.19793930814670288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391753749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.874974,0.0038384728,0.101012036,0.007734087,0.000116384195,0.00004899404,0.00056132715,0.00039565965,0.011318933],"genre_scores_gemma":[0.9942905,0.0012368545,0.0024156324,0.00023578937,0.00009197541,0.000016363545,0.00022344793,0.000030013241,0.0014594973],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996861,0.00011641836,0.000022093152,0.000056460012,0.000048057896,0.000070998896],"domain_scores_gemma":[0.9949591,0.0026668108,0.0013327125,0.00059174135,0.000308404,0.0001411936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001837738,0.0006197084,0.00080883934,0.0009310024,0.00025816265,0.0017650924,0.0011090835,0.001278487,0.0024230257],"category_scores_gemma":[0.012904415,0.0004223611,0.0008332728,0.0010810482,0.00066620973,0.003172767,0.0007133085,0.0010000765,0.0008606407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042793254,0.00046502988,0.31123766,0.00054493616,0.0012026706,0.00088741165,0.0012242782,0.28927195,0.0027979705,0.2736054,0.008108693,0.11022611],"study_design_scores_gemma":[0.000057983103,0.00008316333,0.0573035,0.00006197609,0.00015738085,0.0002590845,0.00019756368,0.72562516,0.00049813034,0.21265149,0.0030535087,0.000050969884],"about_ca_topic_score_codex":0.005307531,"about_ca_topic_score_gemma":0.002907892,"teacher_disagreement_score":0.005307531,"about_ca_system_score_codex":0.00055552943,"about_ca_system_score_gemma":0.0005771426,"threshold_uncertainty_score":0.010553241},"labels":[],"label_agreement":null},{"id":"W4391791198","doi":"10.2139/ssrn.4706410","title":"From Whales to Waves: The Role of Social Media Sentiment in Shaping Cryptocurrency Markets","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Cryptocurrency; Social media; Business; Fishery; Advertising; Economics; Political science; Computer science; Computer security; Biology; Law","score_opus":0.017484769918780695,"score_gpt":0.22571128541941574,"score_spread":0.20822651550063503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391791198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8826744,0.00076159625,0.004647622,0.008556959,0.00022004388,0.000028754952,0.00031116005,0.000050396775,0.10274924],"genre_scores_gemma":[0.99723464,0.00012841725,0.00019122512,0.00025380123,0.000042537795,0.0000038541066,0.000029222974,0.000028869574,0.0020875211],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996412,0.00014844548,0.000013327211,0.00005489551,0.000064927764,0.00007723639],"domain_scores_gemma":[0.9972274,0.0015653234,0.0004446386,0.00015973349,0.000301826,0.00030113364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009486886,0.0001993644,0.00021293647,0.00075088616,0.0009718603,0.005945557,0.00032746972,0.0010038256,0.010942064],"category_scores_gemma":[0.008973862,0.00024570004,0.0001892511,0.00085693825,0.0017864644,0.0051409914,0.0015637118,0.0013692257,0.0010040184],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094897614,0.00035923807,0.30976066,0.00034823225,0.00030725912,0.002216166,0.0448985,0.00615177,0.011295172,0.4546458,0.03294774,0.13612056],"study_design_scores_gemma":[0.00009791654,0.00025121725,0.43844402,0.0004074883,0.0002520156,0.0004218073,0.08308122,0.033621848,0.0028252148,0.33978352,0.10059235,0.00022141657],"about_ca_topic_score_codex":0.0065527856,"about_ca_topic_score_gemma":0.009939313,"teacher_disagreement_score":0.010942064,"about_ca_system_score_codex":0.000660699,"about_ca_system_score_gemma":0.00041298883,"threshold_uncertainty_score":0.03660488},"labels":[],"label_agreement":null},{"id":"W4391797760","doi":"10.1016/j.jfineco.2024.103805","title":"Is it alpha or beta? Decomposing hedge fund returns when models are misspecified","year":2024,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut Canadien des Dérivés","keywords":"Hedge fund; BETA (programming language); Economics; Alpha (finance); Econometrics; Financial economics; Alternative beta; Finance; Computer science; Open-end fund; Institutional investor; Corporate governance","score_opus":0.1436041457487328,"score_gpt":0.27494012570560833,"score_spread":0.13133597995687554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391797760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78332716,0.0016187414,0.20639428,0.003383366,0.00021698202,0.00003643038,0.00042682208,0.0006216574,0.003974515],"genre_scores_gemma":[0.9886974,0.00044735274,0.0092206085,0.0001249163,0.00022211304,0.000012626571,0.00035686244,0.0000868809,0.00083121035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985238,0.0005400953,0.00011025592,0.00022535276,0.00027533493,0.0003252249],"domain_scores_gemma":[0.97635925,0.016194826,0.0029371078,0.0025345727,0.0011716638,0.0008024853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006987121,0.0012503446,0.0016169816,0.0018136116,0.0004093085,0.0031925042,0.0012301697,0.0013204801,0.0020461036],"category_scores_gemma":[0.043764815,0.0007931764,0.0010769777,0.0010016136,0.00089470093,0.0070803566,0.001323802,0.0026028843,0.00042123886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001792995,0.0004691784,0.25622588,0.00022975027,0.0011647335,0.0021513377,0.0005110935,0.41121212,0.005664853,0.04767757,0.008947476,0.263953],"study_design_scores_gemma":[0.00002840558,0.00010941937,0.020308455,0.000059787566,0.00013217579,0.00033069876,0.00025834574,0.91389936,0.0013198779,0.06262402,0.0008969517,0.000032540305],"about_ca_topic_score_codex":0.005729907,"about_ca_topic_score_gemma":0.0043158988,"teacher_disagreement_score":0.006987121,"about_ca_system_score_codex":0.00059264357,"about_ca_system_score_gemma":0.0014490733,"threshold_uncertainty_score":0.0369519},"labels":[],"label_agreement":null},{"id":"W4391880970","doi":"10.1111/fire.12380","title":"Sentiment and the cross‐section of expected stock returns","year":2024,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Capital asset pricing model; Stock (firearms); Market sentiment; Stock market; Economics; Econometrics; Sentiment analysis; Financial economics; BETA (programming language); Monetary economics; Computer science; Artificial intelligence; Geography","score_opus":0.029290683003090272,"score_gpt":0.2589451346458223,"score_spread":0.22965445164273204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391880970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99260217,0.001603857,0.00070986926,0.00021073046,0.00003492861,0.000009936518,0.0005681489,0.000016502521,0.004243798],"genre_scores_gemma":[0.9981615,0.00052929425,0.00007597377,0.00002745957,0.000043828488,0.000004279465,0.0004362395,0.0000036930014,0.0007176988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968266,0.000089623434,0.00003391486,0.00005761826,0.00010178606,0.000034366152],"domain_scores_gemma":[0.99346524,0.002846743,0.0023235881,0.0002112269,0.00080575875,0.00034737596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015371968,0.0001881647,0.0003112051,0.0007890128,0.000097444434,0.00091055216,0.0001283175,0.0003271745,0.0035094619],"category_scores_gemma":[0.008099647,0.00011938653,0.00034610758,0.00077387877,0.00012407218,0.00037647257,0.00029096115,0.00036137848,0.0007958482],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030728773,0.00008138588,0.9795793,0.000074441334,0.000629216,0.00018487682,0.00005278802,0.0029496965,0.0012813417,0.0012750656,0.001181051,0.012403548],"study_design_scores_gemma":[0.000007795118,0.00012593118,0.99309796,0.000020716861,0.000082517545,0.00015580335,0.000046977995,0.0042435415,0.00035072514,0.0010182767,0.00084177,0.000008086862],"about_ca_topic_score_codex":0.0011241115,"about_ca_topic_score_gemma":0.00088560785,"teacher_disagreement_score":0.0035094619,"about_ca_system_score_codex":0.00028043895,"about_ca_system_score_gemma":0.00011953906,"threshold_uncertainty_score":0.011740327},"labels":[],"label_agreement":null},{"id":"W4391884335","doi":"10.3390/jrfm17020077","title":"Volatility and Herding Bias on ESG Leaders’ Portfolios Performance","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Volatility (finance); Business; Financial economics; Econometrics; Economics; Monetary economics; Geography","score_opus":0.037156892542788124,"score_gpt":0.21993632058617313,"score_spread":0.182779428043385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391884335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99630487,0.000109452405,0.001060088,0.00008499696,0.000008241177,0.0000046794803,0.00008350087,0.0000142646895,0.0023298897],"genre_scores_gemma":[0.99932134,0.000033790788,0.00022503217,0.000013652504,0.000008470163,0.000001587422,0.000101537764,0.0000024886517,0.00029226553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956864,0.00009381779,0.000023730558,0.0000967694,0.000110371715,0.00010669045],"domain_scores_gemma":[0.9961649,0.0014868816,0.0011348596,0.00045573027,0.0004958596,0.00026162676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020666814,0.0003084292,0.00032653354,0.00088026776,0.00022428525,0.0011694317,0.0001957221,0.00033134432,0.0019934506],"category_scores_gemma":[0.008446837,0.00007086968,0.0002782593,0.00077567,0.00033781287,0.000777947,0.000664637,0.00033177136,0.0004104563],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014409632,0.000043119828,0.9460503,0.000028112363,0.0001680645,0.00026063452,0.0005263335,0.008368389,0.0015646515,0.0027825749,0.00092234754,0.039141446],"study_design_scores_gemma":[0.000011825888,0.00019177314,0.96100765,0.000032597185,0.000103172555,0.0001422199,0.00091272674,0.029619267,0.0017163929,0.0041608093,0.002076478,0.000025013114],"about_ca_topic_score_codex":0.0016274313,"about_ca_topic_score_gemma":0.0016475989,"teacher_disagreement_score":0.0020666814,"about_ca_system_score_codex":0.0003410999,"about_ca_system_score_gemma":0.00022436204,"threshold_uncertainty_score":0.010929823},"labels":[],"label_agreement":null},{"id":"W4391971069","doi":"10.3390/jrfm17020078","title":"Testing of Portfolio Optimization by Timor-Leste Portfolio Investment Strategy on the Stock Market","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Timor leste; Portfolio; Stock market; Financial economics; Stock (firearms); Investment strategy; Portfolio investment; Investment portfolio; Portfolio optimization; Business; Economics; Monetary economics; Geography; Development economics","score_opus":0.0216167109352807,"score_gpt":0.20997606417421505,"score_spread":0.18835935323893435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391971069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846811,0.000124135,0.012255008,0.00009072681,0.000007843836,0.000047811583,0.00006540737,0.00003277185,0.0026951316],"genre_scores_gemma":[0.9952637,0.00006596332,0.0041090874,0.0000148099,0.000003678907,0.00003170616,0.000093355215,0.000003676799,0.00041405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998912,0.0005629813,0.00006296153,0.000115134455,0.00020300852,0.00014391616],"domain_scores_gemma":[0.9978308,0.0014672015,0.00034149914,0.00011133834,0.00016374279,0.00008536412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033237925,0.0007884458,0.00069633016,0.0010540888,0.00020941393,0.0009853297,0.00040902823,0.0006810929,0.0012800473],"category_scores_gemma":[0.008371273,0.00017425782,0.00054896483,0.00045267926,0.00033050482,0.0013371387,0.00049704406,0.00039074966,0.00013454877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013373607,0.0008697875,0.07662094,0.00015571246,0.00047457658,0.00043118527,0.00015172234,0.8274815,0.0046152547,0.017202733,0.00093813374,0.06972101],"study_design_scores_gemma":[0.000057136047,0.0010218312,0.01632378,0.000014547594,0.000043239954,0.000052477157,0.000054910215,0.97761744,0.0024462563,0.0020437948,0.00030847537,0.000016052887],"about_ca_topic_score_codex":0.0020831442,"about_ca_topic_score_gemma":0.001218578,"teacher_disagreement_score":0.0033237925,"about_ca_system_score_codex":0.0006794222,"about_ca_system_score_gemma":0.00074515684,"threshold_uncertainty_score":0.017578125},"labels":[],"label_agreement":null},{"id":"W4391996300","doi":"10.3390/jrfm17030090","title":"Revisiting Stock Market Index for the Helsinki Stock Exchange 1912–1981","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock market; Stock market index; Business; Index (typography); Stock market bubble; Market maker; Capitalization-weighted index; Financial economics; Financial system; Monetary economics; Economics; Finance; Geography; Computer science; World Wide Web","score_opus":0.02239694200087699,"score_gpt":0.22594198596770235,"score_spread":0.20354504396682535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391996300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.495046,0.0080776885,0.0032003226,0.0012111554,0.0010644778,0.0005041408,0.39473456,0.0003837167,0.095777914],"genre_scores_gemma":[0.46982467,0.003319262,0.0039467993,0.00014308469,0.00070676365,0.00041280748,0.48393652,0.00005770249,0.037652444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901116,0.00003237121,0.00013874393,0.00008736085,0.0006446954,0.00008573138],"domain_scores_gemma":[0.9980959,0.000179544,0.00045696873,0.00011203948,0.0010655669,0.00008987682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077481597,0.00041068543,0.0003008744,0.0045846147,0.00031140307,0.0013275032,0.0004204247,0.00028633082,0.0052138353],"category_scores_gemma":[0.0031714796,0.00013889985,0.00026944242,0.0049963025,0.00009098997,0.001040158,0.0004191843,0.00041804762,0.0034848712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057320594,0.00021531868,0.54426926,0.00062418176,0.0003065419,0.001460867,0.0004960367,0.005026385,0.003370379,0.0037851392,0.20092794,0.23894468],"study_design_scores_gemma":[0.000028560193,0.00006099143,0.8937545,0.00007308,0.000071807095,0.00038598312,0.00014318347,0.0021440797,0.0015326168,0.00046323185,0.10131037,0.00003151605],"about_ca_topic_score_codex":0.018787222,"about_ca_topic_score_gemma":0.019463899,"teacher_disagreement_score":0.018787222,"about_ca_system_score_codex":0.0009410115,"about_ca_system_score_gemma":0.0007639898,"threshold_uncertainty_score":0.03735578},"labels":[],"label_agreement":null},{"id":"W4392004770","doi":"10.3390/jrfm17030092","title":"Algorithm-Based Low-Frequency Trading Using a Stochastic Oscillator and William%R: A Case Study on the U.S. and Korean Indices","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Economics; Mathematics; Financial economics","score_opus":0.024554714506845533,"score_gpt":0.22827232110186835,"score_spread":0.2037176065950228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392004770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9034052,0.00017507386,0.09338281,0.00021977429,0.000018282337,0.00006402802,0.00007229577,0.00018158971,0.0024809877],"genre_scores_gemma":[0.9826659,0.000043719534,0.016564151,0.00001698557,0.0000056532276,0.000019296946,0.000043711407,0.0000093947465,0.00063126633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952304,0.00018405932,0.000034505447,0.0000936343,0.00009488595,0.00006988716],"domain_scores_gemma":[0.997547,0.0017847809,0.00020498568,0.00019776438,0.00018993257,0.00007557626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017225393,0.00044476855,0.00048006262,0.0003902977,0.00038654142,0.0009215978,0.00083048455,0.00096571684,0.00066131883],"category_scores_gemma":[0.0041416963,0.00020456403,0.0005571067,0.00036807382,0.0006089238,0.00097496813,0.0005591729,0.000688892,0.00008721052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022247528,0.00019885183,0.015494544,0.000054938977,0.0000616562,0.00061414513,0.00013712986,0.9417836,0.0032962305,0.009012587,0.00036368976,0.028760126],"study_design_scores_gemma":[0.00001456104,0.00006157514,0.00085402495,0.0000020767486,0.000009797809,0.00005551928,0.000018323895,0.9966965,0.00097541866,0.0011411622,0.00016436803,0.0000067010205],"about_ca_topic_score_codex":0.008237928,"about_ca_topic_score_gemma":0.0046145893,"teacher_disagreement_score":0.008237928,"about_ca_system_score_codex":0.0005915386,"about_ca_system_score_gemma":0.00061433815,"threshold_uncertainty_score":0.016379952},"labels":[],"label_agreement":null},{"id":"W4392057722","doi":"10.5539/ibr.v17n2p23","title":"Investors’ Happiness and Stock Market","year":2024,"lang":"en","type":"article","venue":"International Business Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Happiness; Stock market; Business; Stock (firearms); Financial economics; Monetary economics; Economics; Psychology; Geography","score_opus":0.1106216548311432,"score_gpt":0.3280357894099941,"score_spread":0.21741413457885092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392057722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792477,0.00082557026,0.00032791222,0.0008114493,0.000043740605,0.000013308578,0.00031750562,0.0000061840306,0.018406574],"genre_scores_gemma":[0.9984086,0.00024387903,0.00009805205,0.000064534244,0.000022097076,0.000005194225,0.00008813747,0.0000010287807,0.0010684849],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996383,0.00012617055,0.000027749471,0.000035762296,0.00010187127,0.000070106915],"domain_scores_gemma":[0.99713826,0.00076596456,0.0012899452,0.00008260898,0.0003404303,0.00038280405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071241957,0.00009561557,0.00014847264,0.00045740703,0.00022329944,0.0010457444,0.000088859066,0.0002209617,0.003851659],"category_scores_gemma":[0.0043796143,0.000056003842,0.00019412319,0.0004272181,0.00022917434,0.0004250055,0.0004688703,0.00040053224,0.00031733932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015493218,0.00020763933,0.9458982,0.00008324378,0.0002025062,0.00015561614,0.0015403385,0.00044098328,0.0005683388,0.0040061544,0.0028109318,0.043931264],"study_design_scores_gemma":[0.0000019469635,0.00007360643,0.994722,0.000020751237,0.00002685937,0.00004426723,0.0012435926,0.0003781594,0.00014351381,0.00065204443,0.0026846915,0.000008701868],"about_ca_topic_score_codex":0.0015498586,"about_ca_topic_score_gemma":0.0023721817,"teacher_disagreement_score":0.003851659,"about_ca_system_score_codex":0.00034164696,"about_ca_system_score_gemma":0.00013962782,"threshold_uncertainty_score":0.012885034},"labels":[],"label_agreement":null},{"id":"W4392131403","doi":"10.3905/jpm.2024.1.600","title":"How Should the Long-Term Investor Harvest Variance Risk Premiums?","year":2024,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Variance (accounting); Leverage (statistics); Term (time); Maturity (psychological); Economics; Econometrics; Financial economics; Variance risk premium; Stochastic game; Investment (military); Actuarial science; Index (typography); Microeconomics; Computer science; Mathematics; Statistics; Volatility (finance); Accounting","score_opus":0.038028845352525084,"score_gpt":0.23308868509879477,"score_spread":0.19505983974626967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392131403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6472725,0.003741516,0.3102436,0.00787436,0.00016921872,0.00007782009,0.000060555274,0.00028754605,0.030272825],"genre_scores_gemma":[0.98869854,0.00055603276,0.009037642,0.00015959574,0.00004229427,0.000012526258,0.000010063691,0.000014827597,0.001468486],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996766,0.000103846454,0.000020803147,0.000046300516,0.000098112745,0.000054307475],"domain_scores_gemma":[0.99803334,0.0008723287,0.0004900802,0.00016390697,0.00023030158,0.00020997455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015282138,0.00042013143,0.00044049433,0.00026103223,0.00024738684,0.0021077723,0.00046737195,0.0011093614,0.0017145886],"category_scores_gemma":[0.009656736,0.00016553403,0.00019653575,0.00019225646,0.0005528042,0.0030516754,0.0007656639,0.0008779078,0.00045574037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004796637,0.00044134297,0.042894173,0.00027387292,0.00028366238,0.0006921776,0.0008070973,0.04292294,0.04402852,0.430025,0.0027978243,0.4343538],"study_design_scores_gemma":[0.00019287555,0.0023992388,0.038744394,0.0002898328,0.00021870989,0.0012248972,0.0014277325,0.14139518,0.036880918,0.75964236,0.017421948,0.00016202702],"about_ca_topic_score_codex":0.00027412645,"about_ca_topic_score_gemma":0.0003199092,"teacher_disagreement_score":0.0021077723,"about_ca_system_score_codex":0.0002802703,"about_ca_system_score_gemma":0.0004548771,"threshold_uncertainty_score":0.008082092},"labels":[],"label_agreement":null},{"id":"W4392135476","doi":"10.2139/ssrn.4737261","title":"Underlying Stock Price as Determinant of Option Spread and Depth","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Saskatchewan","funders":"","keywords":"Stock (firearms); Stock price; Economics; Financial economics; Monetary economics; Business; Econometrics; Geology; Geography; Paleontology","score_opus":0.03949722189113388,"score_gpt":0.2652926008049998,"score_spread":0.2257953789138659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392135476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959896,0.0001347909,0.002176796,0.00012767102,0.000008791181,0.0000045468987,0.000120858866,0.00002344923,0.0014134672],"genre_scores_gemma":[0.99932325,0.00003983028,0.00013904268,0.0000052770138,0.000009687096,0.0000010470907,0.00003961492,0.0000042112933,0.00043803407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987364,0.0000319647,0.000008523413,0.0000287434,0.000031426545,0.000025615744],"domain_scores_gemma":[0.9935482,0.0040755575,0.000968727,0.0002725102,0.00042268154,0.0007123387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064147695,0.00028164283,0.00035179828,0.0006203227,0.0001493809,0.0015993698,0.00034788798,0.0007844868,0.006142745],"category_scores_gemma":[0.0073583513,0.00024294683,0.00025411908,0.00046217119,0.0003584932,0.0012672673,0.00041724555,0.00076422753,0.0005110367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016629128,0.00048824426,0.80951446,0.00015054143,0.00042097113,0.0029163882,0.00045697726,0.040109966,0.08950673,0.026866257,0.0009632984,0.026943361],"study_design_scores_gemma":[0.00006346484,0.00023929049,0.74550724,0.00002234592,0.0001865289,0.0008070773,0.00021157225,0.22890487,0.005963704,0.017689846,0.00034345462,0.00006051781],"about_ca_topic_score_codex":0.0011871204,"about_ca_topic_score_gemma":0.0008250873,"teacher_disagreement_score":0.006142745,"about_ca_system_score_codex":0.00019109082,"about_ca_system_score_gemma":0.00020220617,"threshold_uncertainty_score":0.020549476},"labels":[],"label_agreement":null},{"id":"W4392458126","doi":"10.2139/ssrn.4728568","title":"Information Transmission in Stock and Bond Markets","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Market liquidity; Stock (firearms); Corporate bond; Bond; Monetary economics; Overconfidence effect; Bond market; Business; Economics; Stock market; Information transmission; Financial economics; Finance","score_opus":0.00889854088390731,"score_gpt":0.20033189745237306,"score_spread":0.19143335656846575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392458126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8113987,0.004237217,0.13034075,0.0073789116,0.00024321662,0.00007391124,0.0005540623,0.00020395019,0.04556942],"genre_scores_gemma":[0.99159145,0.0011352972,0.0022398287,0.00009088806,0.00013755805,0.000014022893,0.00006810955,0.000011296148,0.00471146],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992798,0.00033794492,0.000038629998,0.000074335265,0.00018256424,0.00008675668],"domain_scores_gemma":[0.9846305,0.012292414,0.0015630285,0.000519812,0.00069692684,0.0002972161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020751245,0.0002532148,0.0006051063,0.0011649993,0.0004129142,0.0031189823,0.00060145516,0.0016117862,0.0070129307],"category_scores_gemma":[0.022140538,0.0004535174,0.0004256841,0.0009776382,0.00091306685,0.004795597,0.0007557761,0.0010248882,0.0005713203],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045609163,0.00018532774,0.007439902,0.000175441,0.00010906487,0.00063367904,0.000570306,0.07739138,0.0032593117,0.85735357,0.0046760025,0.047749978],"study_design_scores_gemma":[0.00010863513,0.000096795935,0.0054519293,0.00004112199,0.00007039617,0.00025241546,0.00017926884,0.313885,0.00081221625,0.6776556,0.0014030698,0.000043573295],"about_ca_topic_score_codex":0.0017305978,"about_ca_topic_score_gemma":0.0008210388,"teacher_disagreement_score":0.0070129307,"about_ca_system_score_codex":0.0007498386,"about_ca_system_score_gemma":0.0005394727,"threshold_uncertainty_score":0.023460627},"labels":[],"label_agreement":null},{"id":"W4392553504","doi":"10.1111/jofi.13323","title":"Does Alternative Data Improve Financial Forecasting? The Horizon Effect","year":2024,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"European Research Council; European Commission","keywords":"Horizon; Econometrics; Economics; Finance; Mathematics","score_opus":0.03816205969107102,"score_gpt":0.2424941926666364,"score_spread":0.2043321329755654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392553504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8806001,0.008247728,0.06336664,0.014660829,0.0007274087,0.00012939377,0.0020575065,0.000589275,0.029621214],"genre_scores_gemma":[0.99435484,0.0007142584,0.0031182475,0.00048452403,0.00030910684,0.000012083063,0.00023451378,0.000026318667,0.0007460576],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.997203,0.001236575,0.00019190338,0.00060046156,0.0005502877,0.00021784318],"domain_scores_gemma":[0.81585556,0.15997514,0.010487206,0.009252862,0.0027062832,0.0017229618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011644781,0.00058163604,0.00094478566,0.0011002006,0.0006067765,0.0023976238,0.0008275325,0.002064513,0.007439353],"category_scores_gemma":[0.10503698,0.00049877807,0.0005622287,0.0011495075,0.00089192187,0.0071176733,0.0016879155,0.0028368116,0.00070780184],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047403774,0.0013114484,0.28704295,0.00089210557,0.0012861643,0.0008431743,0.0017166259,0.13737182,0.007987892,0.055868622,0.014695698,0.48624313],"study_design_scores_gemma":[0.00065690296,0.0017348675,0.3155008,0.00044197452,0.0011415458,0.0005558767,0.0011207953,0.34861553,0.006739448,0.30685723,0.016304106,0.00033093666],"about_ca_topic_score_codex":0.0039393213,"about_ca_topic_score_gemma":0.0045093047,"teacher_disagreement_score":0.011644781,"about_ca_system_score_codex":0.00089723413,"about_ca_system_score_gemma":0.0006719214,"threshold_uncertainty_score":0.061584234},"labels":[],"label_agreement":null},{"id":"W4392566554","doi":"10.2139/ssrn.4751079","title":"Representative Investors Versus Best Clienteles: Performance Evaluation Disagreement in Mutual Funds","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais; Université Laval","funders":"","keywords":"Business; Mutual fund; Closed-end fund; Institutional investor; Economics; Financial economics; Financial system; Finance; Market liquidity; Corporate governance","score_opus":0.06853799280857827,"score_gpt":0.294568395500493,"score_spread":0.22603040269191477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392566554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8347868,0.0030864787,0.018454583,0.06630173,0.00021811429,0.00013149092,0.00013478035,0.00014225002,0.076743744],"genre_scores_gemma":[0.99777395,0.00009693026,0.00075202517,0.00069439714,0.00009128918,0.000016999586,0.000011201823,0.0000149793495,0.0005481798],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9366033,0.0388282,0.0041290615,0.0029351434,0.012696712,0.0048075696],"domain_scores_gemma":[0.6147627,0.31114042,0.032760922,0.009639308,0.023579435,0.008117162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11877243,0.00046173343,0.0017072936,0.002829143,0.0029336782,0.011027041,0.0018496519,0.007220021,0.0048212763],"category_scores_gemma":[0.35976225,0.00045669382,0.0005554307,0.001924864,0.004661608,0.007654519,0.003911012,0.0045423843,0.0005774111],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0064910683,0.0006486578,0.095799066,0.0008624016,0.0009358032,0.0014770707,0.025190137,0.013933923,0.0019226164,0.53234273,0.04068352,0.27971303],"study_design_scores_gemma":[0.0011130986,0.000761241,0.12270971,0.0011498863,0.0006391481,0.0009872393,0.03046111,0.082528204,0.007613782,0.72914225,0.022471469,0.00042284164],"about_ca_topic_score_codex":0.002839515,"about_ca_topic_score_gemma":0.0033533114,"teacher_disagreement_score":0.11877243,"about_ca_system_score_codex":0.0062994403,"about_ca_system_score_gemma":0.0037465058,"threshold_uncertainty_score":0.62813616},"labels":[],"label_agreement":null},{"id":"W4392626577","doi":"10.2139/ssrn.4729180","title":"The Debt Market Role of Asset Valuation Uncertainty","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Amorfix (Canada); University of Toronto","funders":"","keywords":"Valuation (finance); Financial economics; Economics; Debt; Business; Monetary economics; Actuarial science; Finance","score_opus":0.012833843917541199,"score_gpt":0.21950605185186983,"score_spread":0.20667220793432864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392626577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7663293,0.010804289,0.056973346,0.038734306,0.0004908694,0.00003609506,0.00047041228,0.00015618213,0.12600522],"genre_scores_gemma":[0.9962733,0.0008538194,0.00050111476,0.00012240889,0.00025906376,0.0000036383917,0.000019671868,0.0000135218625,0.0019535746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99938023,0.00031919254,0.0000275725,0.000095577474,0.00010655525,0.000070952],"domain_scores_gemma":[0.97708535,0.018168688,0.0021663902,0.00072654476,0.00090111094,0.0009519652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002798733,0.00032545632,0.00077606813,0.0008666406,0.0005982162,0.006770527,0.00080454117,0.002262805,0.007422015],"category_scores_gemma":[0.025688972,0.00045706404,0.0004190211,0.0008063898,0.0023818281,0.009119418,0.0011129561,0.0027568121,0.0003312101],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017991204,0.00010021561,0.0070628203,0.00010072861,0.0000634602,0.00042163447,0.0004292941,0.015754946,0.0008653866,0.952647,0.0032620984,0.019112593],"study_design_scores_gemma":[0.000046539328,0.000044788838,0.007436694,0.000042876,0.000051364714,0.00013718435,0.00029048993,0.06895646,0.0002604665,0.9200985,0.0026013288,0.00003332731],"about_ca_topic_score_codex":0.0016850348,"about_ca_topic_score_gemma":0.001134559,"teacher_disagreement_score":0.007422015,"about_ca_system_score_codex":0.0011870114,"about_ca_system_score_gemma":0.00083774433,"threshold_uncertainty_score":0.02482909},"labels":[],"label_agreement":null},{"id":"W4392806846","doi":"10.1287/mnsc.2022.02056","title":"The Cyber Risk Premium","year":2024,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Business; Economics; Computer science","score_opus":0.016721999186255526,"score_gpt":0.2126120234268939,"score_spread":0.19589002424063837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392806846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85723597,0.002874896,0.041276123,0.006040358,0.00026748425,0.00007436593,0.002428346,0.00027596302,0.0895264],"genre_scores_gemma":[0.99584216,0.0003450363,0.0007381491,0.00011909033,0.0000860361,0.000006876081,0.0002090228,0.0000113996875,0.0026421193],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99952054,0.000063508785,0.000026455722,0.000081464495,0.00022995732,0.00007803047],"domain_scores_gemma":[0.9970782,0.001282878,0.0009121687,0.00020774866,0.00025136818,0.00026764156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007468317,0.00022741103,0.00024867212,0.00086708326,0.00018140132,0.0013354714,0.0002372597,0.00064604473,0.011581985],"category_scores_gemma":[0.00840307,0.00008188879,0.00023546044,0.0005821224,0.0005423209,0.0014921807,0.0007378862,0.0009931731,0.0006868951],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017584847,0.00028452373,0.34673506,0.00014349884,0.00019563844,0.00063189724,0.000587058,0.024025172,0.0051145894,0.41476488,0.020983148,0.18635872],"study_design_scores_gemma":[0.000046225894,0.00020631144,0.53328115,0.00020781952,0.00012057888,0.0013746975,0.00056043785,0.062575266,0.0035211844,0.35879725,0.039205138,0.00010396622],"about_ca_topic_score_codex":0.0016143343,"about_ca_topic_score_gemma":0.0009829473,"teacher_disagreement_score":0.011581985,"about_ca_system_score_codex":0.0006108202,"about_ca_system_score_gemma":0.00033425726,"threshold_uncertainty_score":0.038745582},"labels":[],"label_agreement":null},{"id":"W4392855745","doi":"10.2139/ssrn.4737312","title":"To Dissimulate or Not to Dissimulate? Insider Trading When Anticipating Future Information","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Insider trading; Business; Inside information; Insider; Computer security; Finance; Computer science; Political science; Law","score_opus":0.02449502938119382,"score_gpt":0.25901638313855246,"score_spread":0.23452135375735864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392855745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95029837,0.0005251267,0.01866178,0.0056768716,0.0002645395,0.000026794653,0.00006298801,0.00016596349,0.024317512],"genre_scores_gemma":[0.9956508,0.000086969405,0.0024704721,0.00030485916,0.0000589521,0.000006018949,0.000018429386,0.000022075437,0.0013813567],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993304,0.00024263504,0.00004000366,0.000141843,0.00013464538,0.00011045185],"domain_scores_gemma":[0.99044704,0.00539258,0.0019776213,0.0008405713,0.0003966808,0.00094554125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028891729,0.0003508494,0.0004324466,0.0002577151,0.00042032168,0.0019625279,0.0004055338,0.0012004365,0.00485313],"category_scores_gemma":[0.028533112,0.00024940557,0.00024481845,0.00015486094,0.0006920607,0.003490373,0.0010128147,0.0015031771,0.00069666345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0064212973,0.001516496,0.25590208,0.0003903126,0.0005406725,0.0034139925,0.005799875,0.033244558,0.03710458,0.14595489,0.01788939,0.4918218],"study_design_scores_gemma":[0.00024072744,0.001505824,0.18006362,0.0002463386,0.00033546184,0.003205198,0.0077901315,0.41354033,0.016196497,0.36498332,0.011629464,0.00026303294],"about_ca_topic_score_codex":0.00058631366,"about_ca_topic_score_gemma":0.000895546,"teacher_disagreement_score":0.00485313,"about_ca_system_score_codex":0.00025192767,"about_ca_system_score_gemma":0.00040598327,"threshold_uncertainty_score":0.016235352},"labels":[],"label_agreement":null},{"id":"W4392906120","doi":"10.32920/25418194","title":"Comparative Performance of Mutual Funds and Hedge Funds: Riding the COVID-19 Pandemic","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Global assets under management; Fund of funds; Hedge fund; Institutional investor; Commodity pool; Business; Taxable income; Passive management; Open-end fund; Equity (law); Alternative beta; Coronavirus disease 2019 (COVID-19); Closed-end fund; Monetary economics; Financial system; Finance; Economics; Accounting; Market liquidity; Medicine; Internal medicine","score_opus":0.16609814108070028,"score_gpt":0.3001841371001093,"score_spread":0.13408599601940904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392906120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99678326,0.00047507943,0.00014447338,0.00023367564,0.0000066076605,0.000005305208,0.00013731397,0.000010261745,0.0022039625],"genre_scores_gemma":[0.9989273,0.00013128645,0.00007515085,0.000017115806,0.000011486756,0.0000025270215,0.00015172291,0.0000034694494,0.0006799373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935526,0.0001479133,0.000056366986,0.00007622803,0.00011486743,0.0002493904],"domain_scores_gemma":[0.9942986,0.0018443117,0.0023660122,0.00019480677,0.00065344415,0.0006428384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021101364,0.00030490386,0.0004154805,0.0016654307,0.00034675063,0.0023833911,0.0004071832,0.0011315068,0.0017828683],"category_scores_gemma":[0.012289465,0.00016160219,0.00034031968,0.0012161534,0.0006779436,0.002144111,0.0010910841,0.00064438715,0.00027155952],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029797973,0.0002855537,0.82248336,0.00014759642,0.0003373551,0.0014769154,0.0014243848,0.049184293,0.0053356974,0.031071173,0.0047704093,0.08050355],"study_design_scores_gemma":[0.00016571135,0.0013564331,0.8719694,0.00013069264,0.00035671925,0.000878264,0.0040445053,0.09047294,0.008513917,0.011741173,0.010253582,0.00011670029],"about_ca_topic_score_codex":0.009320781,"about_ca_topic_score_gemma":0.0063137454,"teacher_disagreement_score":0.009320781,"about_ca_system_score_codex":0.001502355,"about_ca_system_score_gemma":0.00063773344,"threshold_uncertainty_score":0.01853311},"labels":[],"label_agreement":null},{"id":"W4392928449","doi":"10.32920/25418194.v1","title":"Comparative Performance of Mutual Funds and Hedge Funds: Riding the COVID-19 Pandemic","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Global assets under management; Fund of funds; Hedge fund; Institutional investor; Commodity pool; Business; Taxable income; Open-end fund; Passive management; Equity (law); Closed-end fund; Alternative beta; Coronavirus disease 2019 (COVID-19); Monetary economics; Finance; Economics; Accounting; Market liquidity; Medicine; Internal medicine","score_opus":0.16609814108070028,"score_gpt":0.3001841371001093,"score_spread":0.13408599601940904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392928449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99678326,0.00047507943,0.00014447338,0.00023367564,0.0000066076605,0.000005305208,0.00013731397,0.000010261745,0.0022039625],"genre_scores_gemma":[0.9989273,0.00013128645,0.00007515085,0.000017115806,0.000011486756,0.0000025270215,0.00015172291,0.0000034694494,0.0006799373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935526,0.0001479133,0.000056366986,0.00007622803,0.00011486743,0.0002493904],"domain_scores_gemma":[0.9942986,0.0018443117,0.0023660122,0.00019480677,0.00065344415,0.0006428384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021101364,0.00030490386,0.0004154805,0.0016654307,0.00034675063,0.0023833911,0.0004071832,0.0011315068,0.0017828683],"category_scores_gemma":[0.012289465,0.00016160219,0.00034031968,0.0012161534,0.0006779436,0.002144111,0.0010910841,0.00064438715,0.00027155952],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029797973,0.0002855537,0.82248336,0.00014759642,0.0003373551,0.0014769154,0.0014243848,0.049184293,0.0053356974,0.031071173,0.0047704093,0.08050355],"study_design_scores_gemma":[0.00016571135,0.0013564331,0.8719694,0.00013069264,0.00035671925,0.000878264,0.0040445053,0.09047294,0.008513917,0.011741173,0.010253582,0.00011670029],"about_ca_topic_score_codex":0.009320781,"about_ca_topic_score_gemma":0.0063137454,"teacher_disagreement_score":0.009320781,"about_ca_system_score_codex":0.001502355,"about_ca_system_score_gemma":0.00063773344,"threshold_uncertainty_score":0.01853311},"labels":[],"label_agreement":null},{"id":"W4393004519","doi":"10.1057/s41260-024-00351-6","title":"Do ESG fund managers pump and dump the stocks in their portfolios? European evidence","year":2024,"lang":"en","type":"article","venue":"Journal of Asset Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National and Kapodistrian University of Athens","keywords":"Portfolio; Hedge fund; Fund of funds; Business; Mutual fund; Equity (law); Institutional investor; Finance; Quarter (Canadian coin); Investment strategy; Closed-end fund; Private equity fund; Asset allocation; Passive management; Sovereign wealth fund; Open-end fund; Investment management; Monetary economics; Economics; Private equity; Corporate governance; Foreign direct investment; Market liquidity","score_opus":0.06199182616450259,"score_gpt":0.25336665033754696,"score_spread":0.19137482417304436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393004519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875848,0.0033056892,0.0002204092,0.0023872487,0.000019621024,0.000006844756,0.0005300246,0.000009407601,0.005935937],"genre_scores_gemma":[0.9979176,0.0009814674,0.00006791053,0.00032761323,0.000037437036,0.000002525416,0.00023690559,0.0000029009923,0.00042563843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979989,0.0005128473,0.0002644099,0.00033406224,0.0005389334,0.00035091784],"domain_scores_gemma":[0.9586354,0.011246753,0.025075803,0.0018567765,0.0019769296,0.0012082845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042133606,0.0001970696,0.00027965292,0.0017355129,0.0002643205,0.0020484778,0.000587314,0.0013743109,0.0033806488],"category_scores_gemma":[0.022769302,0.00015173786,0.000284291,0.0019365398,0.000957159,0.0019799834,0.0012180049,0.0005475732,0.00053409464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005604292,0.00006245749,0.95318645,0.00013199786,0.00024488103,0.00035632084,0.0011019736,0.00032473268,0.00037830253,0.0028208115,0.002595623,0.03823612],"study_design_scores_gemma":[0.00002354596,0.000121408346,0.98689526,0.00021385473,0.00012371792,0.00024693878,0.0016119595,0.000577811,0.0006660456,0.0006109679,0.008887878,0.000020592319],"about_ca_topic_score_codex":0.005127736,"about_ca_topic_score_gemma":0.004030347,"teacher_disagreement_score":0.005127736,"about_ca_system_score_codex":0.0006445957,"about_ca_system_score_gemma":0.00041475336,"threshold_uncertainty_score":0.02228266},"labels":[],"label_agreement":null},{"id":"W4393058652","doi":"10.1016/j.irfa.2024.103218","title":"Cryptocurrency anomalies and economic constraints","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Narodowym Centrum Nauki; Narodowe Centrum Nauki","keywords":"Cryptocurrency; Economics; Natural resource economics; Financial economics; Computer science; Computer security","score_opus":0.01871157257579551,"score_gpt":0.26059232417622324,"score_spread":0.24188075160042774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393058652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46338615,0.26958454,0.08417045,0.08810994,0.0025231615,0.000050542865,0.0019095099,0.00039433158,0.08987147],"genre_scores_gemma":[0.96297014,0.03153975,0.001649576,0.00052867667,0.0013692678,0.000008689654,0.00024001703,0.00003175435,0.0016621223],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99924326,0.0001944711,0.000057100347,0.00013403395,0.00027149162,0.00009973694],"domain_scores_gemma":[0.9878911,0.006627561,0.0029506322,0.00072696386,0.0013890017,0.00041470167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021245314,0.00036145648,0.000673307,0.0015151543,0.00041222948,0.0034835138,0.0007337008,0.0015508869,0.0032470466],"category_scores_gemma":[0.020744812,0.0002905988,0.00022967438,0.0034560566,0.0028672009,0.0045986236,0.00076193834,0.002648451,0.00033289168],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017069647,0.000042957534,0.016496114,0.0003845336,0.00016553812,0.00048284474,0.00012094996,0.034828555,0.00064361404,0.839153,0.016811464,0.0906998],"study_design_scores_gemma":[0.000037620517,0.000020610254,0.016413111,0.00019574392,0.000032147494,0.00032633852,0.00015637143,0.03342275,0.0002978406,0.92018664,0.02887155,0.00003928402],"about_ca_topic_score_codex":0.0033303704,"about_ca_topic_score_gemma":0.0020928793,"teacher_disagreement_score":0.0034835138,"about_ca_system_score_codex":0.0014862445,"about_ca_system_score_gemma":0.0009143039,"threshold_uncertainty_score":0.011235714},"labels":[],"label_agreement":null},{"id":"W4393073339","doi":"10.1016/j.iref.2024.03.059","title":"On the superior performance of SRI funds","year":2024,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Business; Economics; Finance","score_opus":0.03292903981666187,"score_gpt":0.24004889500228,"score_spread":0.20711985518561812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393073339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5077369,0.08479814,0.011088514,0.05067814,0.0014730651,0.00006166814,0.00086540316,0.00034088292,0.3429572],"genre_scores_gemma":[0.9759881,0.012679771,0.0017820329,0.0014087323,0.00157466,0.000009264517,0.00023357736,0.000053641237,0.0062702256],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9961992,0.001141299,0.00029487617,0.00033042996,0.0013845799,0.000649573],"domain_scores_gemma":[0.9883309,0.0038815348,0.0030285171,0.0011949529,0.0028707504,0.0006932504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013281915,0.0004972052,0.00090362673,0.0018119075,0.00048450558,0.0043183584,0.00078263925,0.0014292656,0.0061078696],"category_scores_gemma":[0.022819877,0.00013770846,0.0004037607,0.0019671556,0.0015924802,0.0034958806,0.0017534448,0.0015347908,0.0021496005],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014771421,0.00014038403,0.049028676,0.0007898549,0.00056565704,0.00037710034,0.00078269537,0.013561522,0.003099233,0.4220982,0.04104557,0.467034],"study_design_scores_gemma":[0.0008658451,0.0029839624,0.14674108,0.0016064498,0.0013162879,0.0010484728,0.0023324995,0.024368357,0.019180536,0.5255951,0.2737658,0.00019555032],"about_ca_topic_score_codex":0.0021349164,"about_ca_topic_score_gemma":0.0013440421,"teacher_disagreement_score":0.013281915,"about_ca_system_score_codex":0.001354646,"about_ca_system_score_gemma":0.001492305,"threshold_uncertainty_score":0.070242286},"labels":[],"label_agreement":null},{"id":"W4393147180","doi":"10.1287/mnsc.2021.01390","title":"Distortions Caused by Lending Fee Retention","year":2024,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Economics","score_opus":0.03383843761667431,"score_gpt":0.22803860909776405,"score_spread":0.19420017148108976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393147180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9121572,0.0008164543,0.02322724,0.0024012101,0.00005043086,0.000071079456,0.00059608126,0.00039673355,0.06028361],"genre_scores_gemma":[0.99645835,0.00008380103,0.0008518019,0.00008010211,0.000017458531,0.0000073203646,0.000046601082,0.000015960566,0.0024385527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99878114,0.00022477051,0.00009162619,0.0002023335,0.00034557577,0.00035452974],"domain_scores_gemma":[0.9927947,0.0022085477,0.002932808,0.001184073,0.00041618143,0.00046362443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018151124,0.00037757494,0.0005664352,0.00074095384,0.0005897996,0.0024168487,0.0008729338,0.0008741478,0.00957515],"category_scores_gemma":[0.020515036,0.00028144312,0.00050485996,0.00073672965,0.0014261813,0.0020332895,0.0018830738,0.0009141889,0.00066565187],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016504235,0.00039899116,0.16862638,0.00036033816,0.00024547268,0.002846101,0.0017054544,0.07341278,0.018865421,0.5470169,0.011002858,0.17386895],"study_design_scores_gemma":[0.00045925486,0.0005599255,0.24435529,0.00018586214,0.00035019565,0.0030902787,0.0020526587,0.15447246,0.01545338,0.5469385,0.031891767,0.00019038447],"about_ca_topic_score_codex":0.0072981613,"about_ca_topic_score_gemma":0.0048775235,"teacher_disagreement_score":0.00957515,"about_ca_system_score_codex":0.0024330367,"about_ca_system_score_gemma":0.0010996143,"threshold_uncertainty_score":0.032032073},"labels":[],"label_agreement":null},{"id":"W4393955453","doi":"10.2139/ssrn.4751840","title":"Subjective Beliefs, Disagreement, and Market Return Predictability","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Predictability; Economics; Psychology; Econometrics; Financial economics; Actuarial science; Social psychology; Positive economics; Statistics; Mathematics","score_opus":0.010761241770683983,"score_gpt":0.20799835665849867,"score_spread":0.19723711488781467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393955453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99054587,0.0002460562,0.0033897376,0.0006805762,0.000019725718,0.000009635319,0.00008463106,0.000009389676,0.005014487],"genre_scores_gemma":[0.99941826,0.000052250103,0.00016816989,0.000039906576,0.000022867078,0.000004071243,0.0000429175,0.0000032596106,0.00024827485],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987464,0.00057458365,0.000106792875,0.00019737774,0.00022275744,0.00015209873],"domain_scores_gemma":[0.9150265,0.06693815,0.011756939,0.00268452,0.001658947,0.0019349136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070713446,0.00029899456,0.00054209837,0.0007614154,0.00038522575,0.0036195025,0.00045221692,0.0014179803,0.004172243],"category_scores_gemma":[0.061586663,0.00031106747,0.00032112136,0.0006544561,0.0014691596,0.0021483626,0.0011038171,0.0022023846,0.0003584286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004254516,0.0014284174,0.82850426,0.00018836418,0.0008226342,0.0009161103,0.0054130177,0.030841088,0.0030306245,0.0654446,0.002240282,0.056916066],"study_design_scores_gemma":[0.00027753602,0.000615666,0.71341085,0.00006449832,0.00030404533,0.00030024772,0.0030023055,0.086132646,0.0007209469,0.19413653,0.000902929,0.00013182187],"about_ca_topic_score_codex":0.001466309,"about_ca_topic_score_gemma":0.0009202995,"teacher_disagreement_score":0.0070713446,"about_ca_system_score_codex":0.00045308206,"about_ca_system_score_gemma":0.00029419322,"threshold_uncertainty_score":0.037397325},"labels":[],"label_agreement":null},{"id":"W4393965506","doi":"10.1016/j.jfineco.2024.103837","title":"In-sample and out-of-sample Sharpe ratios of multi-factor asset pricing models","year":2024,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sharpe ratio; Capital asset pricing model; Sample (material); Econometrics; Economics; Asset (computer security); Financial economics; Actuarial science; Computer science; Portfolio; Physics","score_opus":0.06585734863599116,"score_gpt":0.2542702507508807,"score_spread":0.18841290211488956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393965506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89020413,0.0020458617,0.10145255,0.0011466295,0.0002444136,0.00008071613,0.0007009763,0.0005551452,0.0035696882],"genre_scores_gemma":[0.9902686,0.00046169365,0.0062122014,0.0001350084,0.00018658595,0.000028506078,0.0008465301,0.00013261444,0.0017281749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967991,0.0021216064,0.00016335149,0.00043169752,0.00021388581,0.00027028337],"domain_scores_gemma":[0.88054824,0.10562631,0.0036918472,0.0055487035,0.0030661793,0.0015187303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019720566,0.0013847854,0.0020546243,0.001134893,0.0006248221,0.002968611,0.0026380771,0.0016952737,0.004093657],"category_scores_gemma":[0.08279263,0.0009902564,0.0015521405,0.0005874394,0.0013709755,0.0052256803,0.0013152349,0.0034860687,0.0005653261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0057924176,0.0021207624,0.097672,0.00081140705,0.00344959,0.0019056788,0.0012401659,0.71388686,0.00408346,0.071984686,0.014684661,0.08236837],"study_design_scores_gemma":[0.00014532183,0.00029134005,0.013395854,0.000030412519,0.0003413147,0.0001607517,0.00018274313,0.963801,0.0013920574,0.019490559,0.0006839271,0.0000847274],"about_ca_topic_score_codex":0.0031813402,"about_ca_topic_score_gemma":0.0033359588,"teacher_disagreement_score":0.019720566,"about_ca_system_score_codex":0.0008232186,"about_ca_system_score_gemma":0.0007927759,"threshold_uncertainty_score":0.104293585},"labels":[],"label_agreement":null},{"id":"W4394576611","doi":"10.3390/jrfm17040149","title":"Persistence in the Realized Betas: Some Evidence from the Stock Market","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agencia Estatal de Investigación; European Regional Development Fund; Johnson and Johnson; Procter and Gamble; Microsoft; Home Depot; Verizon; Ministerio de Ciencia e Innovación; Intel Corporation","keywords":"Persistence (discontinuity); Economics; Financial economics; Econometrics; Stock (firearms); Stock market; Geography; Engineering","score_opus":0.037647104520768734,"score_gpt":0.22607331630887093,"score_spread":0.1884262117881022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394576611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99672157,0.00019301228,0.0019188842,0.00021173805,0.000004020194,0.0000031950578,0.00011060153,0.000020681568,0.0008162525],"genre_scores_gemma":[0.99946374,0.000091921,0.00018701663,0.000016815036,0.0000130671315,0.0000017909954,0.00016047475,0.0000050743824,0.00006009597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992742,0.00017989076,0.00008557169,0.00015636589,0.00023092175,0.00007309464],"domain_scores_gemma":[0.9656438,0.019948907,0.009002578,0.0030116106,0.0017357252,0.0006574152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030368401,0.00017133793,0.0003948283,0.001256657,0.00030791125,0.0010797436,0.00060091284,0.0007770072,0.0010631507],"category_scores_gemma":[0.02882351,0.00030681264,0.00034100184,0.0011486477,0.0008854243,0.0011271901,0.00068298244,0.00097296335,0.00020343512],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005544175,0.0001553821,0.94838643,0.00013057908,0.00025694494,0.00074833207,0.0018733636,0.009608215,0.003626263,0.004381454,0.0006846692,0.029593967],"study_design_scores_gemma":[0.000034950714,0.00032584564,0.94774973,0.000041998093,0.00009231324,0.00073861756,0.0006559997,0.041100655,0.001549137,0.0064253467,0.0012352976,0.00005008369],"about_ca_topic_score_codex":0.0018654312,"about_ca_topic_score_gemma":0.0012933403,"teacher_disagreement_score":0.0030368401,"about_ca_system_score_codex":0.00023582332,"about_ca_system_score_gemma":0.00019707921,"threshold_uncertainty_score":0.016060531},"labels":[],"label_agreement":null},{"id":"W4394614244","doi":"10.5430/afr.v13n2p32","title":"The Number of Stocks Before (n) and After Portfolio Optimization (k): The Heuristic k ≈ sqrt(n)","year":2024,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Heuristic; Portfolio; Mathematics; Portfolio optimization; Economics; Econometrics; Modern portfolio theory; Mathematical economics; Mathematical optimization; Square root; Actuarial science; Computer science; Financial economics","score_opus":0.024472304681835727,"score_gpt":0.28671805292759506,"score_spread":0.2622457482457593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394614244","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42563808,0.0016149973,0.5520992,0.0012600542,0.00020665921,0.000407576,0.00022530035,0.00096654374,0.017581612],"genre_scores_gemma":[0.8087525,0.0002932784,0.18704969,0.00039631664,0.0000523962,0.00019633022,0.0002109693,0.00015915598,0.0028894488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851614,0.00050264946,0.00012761011,0.00038153408,0.00032129828,0.00015081326],"domain_scores_gemma":[0.99303114,0.0047215326,0.0006264148,0.00091310026,0.00049446325,0.00021324257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029530819,0.0006657401,0.001034965,0.00053673994,0.000757882,0.0014669844,0.0010935799,0.0011044892,0.0038978169],"category_scores_gemma":[0.017735776,0.00042879707,0.0005777023,0.0006332295,0.0009869551,0.002288952,0.00071014365,0.0010121381,0.00092112774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015925153,0.00048928196,0.026166312,0.00035588094,0.00026499302,0.0004086463,0.0003017537,0.5006962,0.012080334,0.043267675,0.005536585,0.4088398],"study_design_scores_gemma":[0.00022709442,0.00089763297,0.007954518,0.00013879119,0.00016821432,0.00068331475,0.00022338546,0.93234414,0.016106794,0.034377627,0.0067781815,0.000100289624],"about_ca_topic_score_codex":0.00166037,"about_ca_topic_score_gemma":0.0026521047,"teacher_disagreement_score":0.0038978169,"about_ca_system_score_codex":0.00086467044,"about_ca_system_score_gemma":0.0020725057,"threshold_uncertainty_score":0.015617549},"labels":[],"label_agreement":null},{"id":"W4394682875","doi":"10.1016/j.frl.2024.105374","title":"Frog in the Pan and the market-state effect on momentum","year":2024,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Momentum (technical analysis); Economics; State (computer science); Keynesian economics; Physics; Financial economics; Mathematics; Algorithm","score_opus":0.035703792701607534,"score_gpt":0.27566005426261936,"score_spread":0.23995626156101182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394682875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887875,0.00008820831,0.0012610091,0.00028904853,0.000009024401,0.000010464147,0.0000837018,0.000019323867,0.009451754],"genre_scores_gemma":[0.99945134,0.000031317137,0.00015994001,0.000022444767,0.0000063988873,0.000003110644,0.000024906127,0.0000032152068,0.0002974088],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994779,0.00016312968,0.00004908324,0.000088720495,0.0001104216,0.00011074304],"domain_scores_gemma":[0.9776463,0.012806224,0.006068271,0.0010881189,0.0006255765,0.0017655668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016813515,0.00013311769,0.0004245273,0.00071490876,0.00044189044,0.0023521842,0.00028741115,0.00069132115,0.013520639],"category_scores_gemma":[0.01785474,0.00015247974,0.00029978206,0.0007098182,0.001306289,0.0029830346,0.0014875039,0.00092594756,0.00033072702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033465573,0.0010337927,0.84649014,0.0001364977,0.0002178018,0.0008943252,0.0017168736,0.0054483386,0.007412531,0.06749686,0.001262533,0.06454364],"study_design_scores_gemma":[0.00007551885,0.00087968673,0.94679797,0.00003771694,0.00009277521,0.00031168453,0.0014304158,0.010453045,0.0011091521,0.037023716,0.0017542567,0.000034135595],"about_ca_topic_score_codex":0.0012727955,"about_ca_topic_score_gemma":0.0010499721,"teacher_disagreement_score":0.013520639,"about_ca_system_score_codex":0.00049204915,"about_ca_system_score_gemma":0.00034769866,"threshold_uncertainty_score":0.045230985},"labels":[],"label_agreement":null},{"id":"W4394757875","doi":"10.1002/ijfe.2976","title":"Do <scp>ESG</scp> funds engage in portfolio pumping to gain higher flows? An application of <scp>Benford's Law</scp>","year":2024,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Göteborgs Universitet; City, University of London; University of Glasgow; Universitetet i Agder; Jan Wallanders och Tom Hedelius Stiftelse samt Tore Browaldhs Stiftelse","keywords":"Portfolio; Business; Fund of funds; Finance; Quarter (Canadian coin); Closed-end fund; Institutional investor; Corporate governance; Market liquidity","score_opus":0.027085905190250448,"score_gpt":0.25786112707634656,"score_spread":0.23077522188609612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394757875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9548964,0.00060330355,0.0034028983,0.00877624,0.000046078017,0.00010024486,0.00025785592,0.00003890496,0.031878076],"genre_scores_gemma":[0.99859744,0.00010337625,0.00039404785,0.0003214262,0.000032114047,0.000019116995,0.000038060913,0.000003298611,0.00049109285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99665654,0.0010762985,0.0002291517,0.00040341128,0.0010855364,0.0005490227],"domain_scores_gemma":[0.9629938,0.016124487,0.01639911,0.0011222389,0.0022354512,0.0011249135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055034957,0.00014394149,0.00035626517,0.0012952287,0.0006737444,0.003080589,0.0005925578,0.0011426264,0.003491362],"category_scores_gemma":[0.030382305,0.0001177977,0.00034841703,0.0014219303,0.0018663645,0.0018054844,0.0011115957,0.00081950205,0.00037062608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019528133,0.00021786867,0.884389,0.00009275389,0.00007144153,0.00044616353,0.0013391974,0.0020434875,0.00067882816,0.03965622,0.007493734,0.06337595],"study_design_scores_gemma":[0.00008794074,0.00041443022,0.88342386,0.00030016215,0.00016035319,0.0005100146,0.008508683,0.036315884,0.0042965566,0.039671432,0.02623045,0.000080130834],"about_ca_topic_score_codex":0.010601393,"about_ca_topic_score_gemma":0.009599133,"teacher_disagreement_score":0.010601393,"about_ca_system_score_codex":0.0023609912,"about_ca_system_score_gemma":0.0018304086,"threshold_uncertainty_score":0.029105604},"labels":[],"label_agreement":null},{"id":"W4394834302","doi":"10.2139/ssrn.4783070","title":"ESG-based Index Tracking with Portfolio Policy","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Download; Index (typography); Computer science; Portfolio; Tracking (education); World Wide Web; Business; Finance","score_opus":0.013507891425422518,"score_gpt":0.22051066855280432,"score_spread":0.2070027771273818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394834302","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1023653,0.0010986605,0.8647155,0.0009839857,0.0006120609,0.00018538898,0.002509429,0.0077636284,0.019766076],"genre_scores_gemma":[0.7973473,0.00031665488,0.19210003,0.00024087145,0.00026446584,0.00007716951,0.0018419025,0.0002395931,0.007572082],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989858,0.0003207488,0.00008681423,0.00024451435,0.00025238795,0.00010976797],"domain_scores_gemma":[0.99651575,0.0013897056,0.00043032275,0.00080134347,0.0006780139,0.00018491129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027181776,0.000802885,0.0009179985,0.0024061506,0.00039375835,0.0023474,0.00097435806,0.0013507883,0.00843703],"category_scores_gemma":[0.012165814,0.0003852384,0.00035890882,0.0024973275,0.0003696788,0.0022561292,0.0013588048,0.0009720877,0.0035894748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001109437,0.00030928175,0.02375582,0.00014748584,0.00015890486,0.00022949306,0.00012941762,0.2923767,0.007933307,0.018789206,0.015881436,0.6391796],"study_design_scores_gemma":[0.00003165355,0.000050497638,0.002118181,0.00001872296,0.0000196179,0.000040342322,0.000018670216,0.98164016,0.003206151,0.009952763,0.0028909899,0.000012227051],"about_ca_topic_score_codex":0.0034205967,"about_ca_topic_score_gemma":0.0039457013,"teacher_disagreement_score":0.00843703,"about_ca_system_score_codex":0.00065855996,"about_ca_system_score_gemma":0.0010056348,"threshold_uncertainty_score":0.028224707},"labels":[],"label_agreement":null},{"id":"W4394835313","doi":"10.1016/j.jfineco.2024.103839","title":"Portfolio pumping in mutual fund families","year":2024,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Asian Finance Association; Southern Finance Association","keywords":"Portfolio; Quarter (Canadian coin); Target date fund; Mutual fund; Star (game theory); Business; Closed-end fund; Finance; Open-end fund; Fund of funds; Income fund; Commission; Fund administration; Economics; Monetary economics; Institutional investor; Corporate governance; Geography","score_opus":0.037244315141221715,"score_gpt":0.23097996816743485,"score_spread":0.19373565302621315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394835313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97860914,0.00037334106,0.010903709,0.0012571557,0.000019604347,0.000016466722,0.00012411192,0.00006473591,0.008631719],"genre_scores_gemma":[0.99723935,0.000092953975,0.00044563218,0.000021087677,0.000013038982,0.0000062368176,0.00002581603,0.0000035230325,0.0021522914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99940574,0.00023445627,0.000029139996,0.000072137394,0.00007697807,0.00018148278],"domain_scores_gemma":[0.99495935,0.0027658308,0.001196773,0.00023769833,0.00032122084,0.0005191522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020240017,0.00015919021,0.0006555545,0.00063194864,0.00088190864,0.0022610538,0.0005619298,0.0014572248,0.0058284085],"category_scores_gemma":[0.013984777,0.00029777474,0.00041753126,0.0005899421,0.00076056697,0.0030742122,0.0009914148,0.00082723686,0.00027036108],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011900031,0.00039824334,0.10484403,0.00011759607,0.00016513522,0.0016206967,0.001174166,0.044791944,0.0038160856,0.7415618,0.008555223,0.09176525],"study_design_scores_gemma":[0.00030783218,0.00048487654,0.05406726,0.00010514686,0.00023580826,0.0014048925,0.0022257944,0.33004865,0.0034953388,0.5987804,0.008756971,0.000086955166],"about_ca_topic_score_codex":0.0030951707,"about_ca_topic_score_gemma":0.002066478,"teacher_disagreement_score":0.0058284085,"about_ca_system_score_codex":0.001230455,"about_ca_system_score_gemma":0.00078862655,"threshold_uncertainty_score":0.01949799},"labels":[],"label_agreement":null},{"id":"W4394862659","doi":"10.2139/ssrn.4789398","title":"Understanding Confusion in Asset Price Bubbles","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Confusion; Asset (computer security); Economics; Economic bubble; Financial economics; Business; Monetary economics; Psychology; Computer science; Computer security","score_opus":0.05959873554924405,"score_gpt":0.23543814722411976,"score_spread":0.1758394116748757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394862659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8255739,0.002884677,0.07543682,0.018889392,0.0003103879,0.000058111746,0.00038638478,0.00028819396,0.076172106],"genre_scores_gemma":[0.9970245,0.00020401577,0.0016515832,0.0002547788,0.0001300511,0.000012249505,0.00005861617,0.00003356478,0.00063069817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99867153,0.0005082682,0.00006445761,0.00021330379,0.00035659407,0.000185911],"domain_scores_gemma":[0.9699478,0.022389228,0.0029988734,0.0015573067,0.0020944704,0.0010123244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031919035,0.00029140228,0.0006279716,0.0017461975,0.0010828195,0.0054776454,0.00085795304,0.002958803,0.005723763],"category_scores_gemma":[0.05733334,0.00049963314,0.00029444043,0.0013197566,0.002973275,0.016732516,0.0033681777,0.002500437,0.00050624297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006739165,0.00015564254,0.059362344,0.00024859136,0.00007714547,0.00084292,0.021024207,0.009459741,0.0053902008,0.82596844,0.0061443243,0.07065256],"study_design_scores_gemma":[0.000020296733,0.0000358335,0.013117917,0.00004920922,0.000023033694,0.00018071623,0.0023551944,0.026562007,0.0007585218,0.95342827,0.0034373826,0.000031693602],"about_ca_topic_score_codex":0.0031465879,"about_ca_topic_score_gemma":0.0013244426,"teacher_disagreement_score":0.005723763,"about_ca_system_score_codex":0.0012419216,"about_ca_system_score_gemma":0.00069455133,"threshold_uncertainty_score":0.019147933},"labels":[],"label_agreement":null},{"id":"W4394863236","doi":"10.2139/ssrn.4794121","title":"Firm-level Sentiment and Insider Trading","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; Concordia University","funders":"","keywords":"Insider trading; Business; Insider; Monetary economics; Financial system; Financial economics; Economics; Finance; Political science; Law","score_opus":0.030308022295523176,"score_gpt":0.22277392574646718,"score_spread":0.192465903450944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394863236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971853,0.000134237,0.00008066991,0.00024076745,0.000010844526,0.0000020809002,0.00021536383,0.000004189367,0.0021267026],"genre_scores_gemma":[0.9988986,0.00006165148,0.000016373293,0.000027462529,0.000026112104,8.480589e-7,0.00021621995,0.0000024329536,0.00075030286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999808,0.000043685868,0.000020110136,0.00003684983,0.000034280798,0.000057018366],"domain_scores_gemma":[0.99091154,0.0031898774,0.0042057983,0.00026990715,0.0004169673,0.0010059742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079104624,0.00013855472,0.00026980872,0.0003672062,0.0002193017,0.0017090613,0.00016883506,0.00088729797,0.006801747],"category_scores_gemma":[0.0056444774,0.00012118175,0.00023608156,0.0004841081,0.0002806813,0.0008705872,0.00038083585,0.00083186745,0.001108341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033325117,0.00021659584,0.9902722,0.000019973288,0.000093514805,0.00021731254,0.00016436544,0.0007026518,0.0011754563,0.0009158554,0.0008746895,0.005014173],"study_design_scores_gemma":[0.00000965679,0.000089992944,0.9961056,0.00001078982,0.000033636145,0.00007915294,0.00022895997,0.001999888,0.00020112674,0.00081481505,0.00041837496,0.0000080913505],"about_ca_topic_score_codex":0.0018874776,"about_ca_topic_score_gemma":0.0039840937,"teacher_disagreement_score":0.006801747,"about_ca_system_score_codex":0.00037191974,"about_ca_system_score_gemma":0.00015074755,"threshold_uncertainty_score":0.022754133},"labels":[],"label_agreement":null},{"id":"W4394863782","doi":"10.2139/ssrn.4791504","title":"Strategic Informed Trading and the Value of Private Information","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Value (mathematics); Business; Private information retrieval; Computer science; Computer security; Statistics; Mathematics","score_opus":0.014485828494481266,"score_gpt":0.2068739560560773,"score_spread":0.19238812756159604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394863782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7077387,0.0071110716,0.13506584,0.023137445,0.0003217286,0.00008350061,0.00047412567,0.00017438324,0.12589327],"genre_scores_gemma":[0.99610007,0.0006015896,0.0011919998,0.00012117985,0.00008060064,0.0000076045726,0.000020782561,0.0000112517955,0.0018648326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99790454,0.0011051669,0.00010650135,0.00025397656,0.00037677833,0.00025313607],"domain_scores_gemma":[0.92604834,0.06155322,0.006666981,0.003209286,0.001391409,0.0011307966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054106326,0.00048166834,0.0009699488,0.0011050776,0.00075109163,0.0077753733,0.0010664408,0.0043307226,0.0072740833],"category_scores_gemma":[0.049100433,0.00060015987,0.000578846,0.0011655799,0.0039837095,0.010029337,0.0017393321,0.0032674414,0.0004295783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004800575,0.00014976453,0.0047791903,0.00015580162,0.00015686014,0.00053672603,0.00049267896,0.040971726,0.0011065863,0.929022,0.0018117639,0.020336881],"study_design_scores_gemma":[0.000033175853,0.00003550513,0.0008803785,0.00002173407,0.000022411712,0.00008546808,0.000100783436,0.036172647,0.00022120221,0.9617182,0.00069063256,0.000017893652],"about_ca_topic_score_codex":0.0009433505,"about_ca_topic_score_gemma":0.0009895077,"teacher_disagreement_score":0.0077753733,"about_ca_system_score_codex":0.001971088,"about_ca_system_score_gemma":0.0013423727,"threshold_uncertainty_score":0.028614461},"labels":[],"label_agreement":null},{"id":"W4394925492","doi":"10.2139/ssrn.4798799","title":"Illiquidity Premiums in International Corporate Bond Markets","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Guelph","funders":"","keywords":"Corporate bond; Bond; Business; Financial system; Monetary economics; Bond market; Financial economics; Economics; Finance","score_opus":0.028844331294131675,"score_gpt":0.22844708930841576,"score_spread":0.1996027580142841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394925492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784564,0.0011132736,0.01300132,0.0013739367,0.00004085843,0.0000124952,0.0002071206,0.00015098654,0.0056436956],"genre_scores_gemma":[0.99778336,0.0002674508,0.00041173497,0.00003474231,0.00006529919,0.0000032778478,0.00007677809,0.000020800178,0.0013365598],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976915,0.000059611484,0.000018010891,0.00004534021,0.000041343763,0.00006660767],"domain_scores_gemma":[0.9883505,0.0066680894,0.0029590933,0.00047102117,0.00055012834,0.0010012445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002083188,0.00039134725,0.0006453035,0.0017363897,0.0003190956,0.002663156,0.00051185326,0.0009013416,0.0057266345],"category_scores_gemma":[0.016131207,0.00036251626,0.00033624313,0.0007827074,0.0008691012,0.0038975466,0.00070789864,0.0018577946,0.00035839755],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015479627,0.00071743847,0.114186905,0.00040363768,0.00019432,0.001759869,0.0015616345,0.074779704,0.022637052,0.70459044,0.010747388,0.06687366],"study_design_scores_gemma":[0.00017150166,0.00027584913,0.08894723,0.00007853011,0.00016334366,0.0006014633,0.0004730889,0.33567145,0.004331992,0.5672189,0.001948679,0.00011790475],"about_ca_topic_score_codex":0.0010102302,"about_ca_topic_score_gemma":0.0007724841,"teacher_disagreement_score":0.0057266345,"about_ca_system_score_codex":0.00064439024,"about_ca_system_score_gemma":0.00030001966,"threshold_uncertainty_score":0.019157529},"labels":[],"label_agreement":null},{"id":"W4394927047","doi":"10.2139/ssrn.4798796","title":"Dumb Money? Social Network Attention Herding, Sentiment, and Markets","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Herding; Monetary economics; Economics; Financial economics; Business; Geography","score_opus":0.014713349091334647,"score_gpt":0.22283879911662674,"score_spread":0.2081254500252921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394927047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97656405,0.0015519788,0.002514931,0.007397495,0.0001254135,0.000009205496,0.0002608525,0.00004314972,0.011532953],"genre_scores_gemma":[0.9977569,0.00024995077,0.00023356997,0.00023944481,0.00014017252,0.0000032060022,0.000037498106,0.000005965538,0.0013333308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981767,0.00006218591,0.0000063583934,0.00005600835,0.000019363262,0.000038497168],"domain_scores_gemma":[0.99355114,0.003729163,0.0018107579,0.00026120097,0.00017727946,0.00047049392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011629266,0.00016601314,0.0003991623,0.0005197283,0.0004793936,0.0016390418,0.00030906298,0.0011755745,0.009588889],"category_scores_gemma":[0.011861082,0.00016933728,0.00018161003,0.0006209246,0.00069597823,0.0026176486,0.00052980817,0.0008532473,0.0005563351],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014325186,0.0006442609,0.6266988,0.00036635788,0.000782698,0.00045635732,0.0035292,0.009119117,0.0057938406,0.096011356,0.03678821,0.21837726],"study_design_scores_gemma":[0.00015747172,0.00043969037,0.666028,0.00015321423,0.00042873452,0.00049021706,0.0049822996,0.08097754,0.0013045436,0.23495221,0.009996852,0.000089286434],"about_ca_topic_score_codex":0.0044446434,"about_ca_topic_score_gemma":0.004044649,"teacher_disagreement_score":0.009588889,"about_ca_system_score_codex":0.0004497103,"about_ca_system_score_gemma":0.00015199954,"threshold_uncertainty_score":0.032078028},"labels":[],"label_agreement":null},{"id":"W4394952593","doi":"10.3390/jrfm17040168","title":"Testing and Ranking of Asset Pricing Models Using the GRS Statistic","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Statistic; Ranking (information retrieval); Econometrics; Capital asset pricing model; Asset (computer security); Economics; Statistics; Computer science; Actuarial science; Mathematics; Artificial intelligence; Computer security","score_opus":0.03997211065927345,"score_gpt":0.2290518870669779,"score_spread":0.18907977640770446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394952593","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1010076,0.0004149465,0.8896698,0.002137746,0.0002718606,0.000074945994,0.00025661744,0.00068000524,0.0054865587],"genre_scores_gemma":[0.87380403,0.00028361453,0.12354193,0.0004467455,0.00049431756,0.0001037355,0.00039090705,0.00014093114,0.0007938972],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.95960635,0.0296105,0.0014171777,0.0028069355,0.005442419,0.0011165645],"domain_scores_gemma":[0.8010577,0.16188766,0.0090250615,0.019492526,0.0065960595,0.001941068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031671897,0.0016656703,0.0030810048,0.005839914,0.0010250557,0.0041732993,0.0025467216,0.0026536123,0.004675716],"category_scores_gemma":[0.19791156,0.00055213383,0.0022178844,0.0032259275,0.005890301,0.0058004283,0.0032096577,0.0038620206,0.001046801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027558923,0.00023963457,0.024207834,0.0003208476,0.00061156903,0.0009215641,0.0005206679,0.20870708,0.0019084621,0.6121704,0.008815781,0.14130054],"study_design_scores_gemma":[0.000053180735,0.00029253672,0.0024111057,0.000051662057,0.000038992734,0.00023876857,0.00013636785,0.48836657,0.0008891318,0.5063385,0.0011087375,0.00007439761],"about_ca_topic_score_codex":0.0014929731,"about_ca_topic_score_gemma":0.0012035267,"teacher_disagreement_score":0.031671897,"about_ca_system_score_codex":0.0012083563,"about_ca_system_score_gemma":0.0016036249,"threshold_uncertainty_score":0.167499},"labels":[],"label_agreement":null},{"id":"W4395017876","doi":"10.2139/ssrn.4779585","title":"The Heat Anomaly Premium","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Anomaly (physics); Business; Economics; Physics","score_opus":0.011445462512232718,"score_gpt":0.2034683849481668,"score_spread":0.19202292243593408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395017876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86211973,0.0031910948,0.015356052,0.03189585,0.0011686808,0.000015898178,0.0008300998,0.0004669641,0.08495554],"genre_scores_gemma":[0.9953394,0.00020616945,0.00013593922,0.0002041137,0.00049463473,0.0000013306247,0.000061612875,0.000019916011,0.0035367908],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997329,0.000049482853,0.000009660856,0.00005618506,0.000088003835,0.000063829604],"domain_scores_gemma":[0.99762326,0.00093102583,0.000614536,0.00025267788,0.0002431403,0.0003355022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006708366,0.00013591938,0.0003577271,0.0006404128,0.0002717447,0.0013741794,0.00031920755,0.001094508,0.009132392],"category_scores_gemma":[0.007745687,0.00009665679,0.00017486233,0.00046596487,0.00069182634,0.0016170156,0.00063783646,0.0016855297,0.00073026185],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005677109,0.00021515245,0.08928911,0.000103160724,0.00013572953,0.00083367206,0.0004931295,0.007979044,0.006127049,0.69549483,0.062175535,0.13658589],"study_design_scores_gemma":[0.00008211054,0.00010319783,0.13939045,0.000047851416,0.00007736402,0.00076393934,0.00045962317,0.043024488,0.0019313331,0.78811926,0.025947891,0.00005257686],"about_ca_topic_score_codex":0.0017844696,"about_ca_topic_score_gemma":0.0012102968,"teacher_disagreement_score":0.009132392,"about_ca_system_score_codex":0.0005299983,"about_ca_system_score_gemma":0.0002761571,"threshold_uncertainty_score":0.030550897},"labels":[],"label_agreement":null},{"id":"W4395044538","doi":"10.11130/jei.2024012","title":"Financial Integration of the European, North America, Asiatic and Japanese stock markets from 2003 to present times","year":2024,"lang":"en","type":"article","venue":"Journal of Economic Integration","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Economics; Financial system; Financial integration; Business; Financial market; Finance; Geography","score_opus":0.018203045863701174,"score_gpt":0.21712019374305955,"score_spread":0.19891714787935838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395044538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933609,0.00068756787,0.0003361116,0.00015572621,0.000012119396,0.000011611121,0.0012718546,0.000014581369,0.0041495077],"genre_scores_gemma":[0.9940194,0.0005421634,0.00046600786,0.000038344275,0.000036035683,0.000016337443,0.0038985182,0.000009731096,0.000973493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967825,0.000034628894,0.0000435948,0.00007255611,0.0000846192,0.00008632948],"domain_scores_gemma":[0.99853814,0.00013807921,0.0007148875,0.000051130257,0.00038182747,0.00017583983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007993497,0.00026849282,0.00032299338,0.003054308,0.0004209396,0.0017009208,0.0002900411,0.00047031688,0.001289881],"category_scores_gemma":[0.0022442942,0.00013363622,0.0005184465,0.0048918496,0.0002856478,0.0011342582,0.0009645995,0.00067536,0.00042826275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038758144,0.00020067862,0.9397353,0.00009387874,0.0002615853,0.00086714,0.0032008453,0.0033750883,0.0015538915,0.003309327,0.003543501,0.043471213],"study_design_scores_gemma":[0.0000045516263,0.000045627545,0.9930321,0.00003416407,0.00007891661,0.00017030178,0.0007459507,0.0018119732,0.00051465246,0.0003624669,0.0031858434,0.000013507737],"about_ca_topic_score_codex":0.027663266,"about_ca_topic_score_gemma":0.030102434,"teacher_disagreement_score":0.027663266,"about_ca_system_score_codex":0.0011756159,"about_ca_system_score_gemma":0.0006083936,"threshold_uncertainty_score":0.055004478},"labels":[],"label_agreement":null},{"id":"W4395055262","doi":"10.2139/ssrn.4802345","title":"Trading Volume Alpha","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Portfolio; Volume (thermodynamics); Rate of return on a portfolio; Portfolio optimization; Computer science; Algorithmic trading; Key (lock); Trading strategy; Tracking error; Economics; Econometrics; Financial economics; Artificial intelligence; Computer security","score_opus":0.01637048929255155,"score_gpt":0.20998577898858464,"score_spread":0.1936152896960331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395055262","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004989167,0.0038286033,0.0021482336,0.0018579074,0.0106404675,0.000095452226,0.016372718,0.0026019532,0.95746547],"genre_scores_gemma":[0.023450436,0.0033513084,0.00062609516,0.00074456545,0.0035225076,0.000060994094,0.010261118,0.000631269,0.95735174],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991398,0.00006582569,0.0000759798,0.00016414064,0.00048361265,0.00007068122],"domain_scores_gemma":[0.9975884,0.0003055349,0.0001839962,0.00034571023,0.0010247884,0.0005516895],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00063462334,0.0011444172,0.0009471727,0.004495739,0.000470253,0.005152479,0.0005700103,0.00091474137,0.3919276],"category_scores_gemma":[0.0037870868,0.0003275053,0.00050025596,0.0029395532,0.00036481538,0.0016484893,0.0007779003,0.0017028856,0.49282292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035237923,0.00006951496,0.0016471042,0.00032555766,0.00002769162,0.00009230144,0.000032577864,0.0004777417,0.0022571022,0.007320844,0.75781876,0.22957839],"study_design_scores_gemma":[0.00004966341,0.00009984951,0.0067107975,0.00015736767,0.000023150715,0.0002924908,0.000033489057,0.00076099706,0.0014344329,0.003436821,0.9869839,0.000016962837],"about_ca_topic_score_codex":0.0008066879,"about_ca_topic_score_gemma":0.0008257558,"teacher_disagreement_score":0.3919276,"about_ca_system_score_codex":0.00054451654,"about_ca_system_score_gemma":0.0007632759,"threshold_uncertainty_score":0.86734146},"labels":[],"label_agreement":null},{"id":"W4395089354","doi":"10.61190/fsr.v32i1.3230","title":"Performance Evaluation Disagreement","year":2024,"lang":"en","type":"article","venue":"Financial Services Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Psychology","score_opus":0.03806089982698472,"score_gpt":0.25896512594259136,"score_spread":0.22090422611560664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395089354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9156854,0.0067313113,0.013247245,0.001084779,0.00013286801,0.00029727168,0.0007189695,0.00006864807,0.062033396],"genre_scores_gemma":[0.99629456,0.0005205499,0.0010854956,0.00007864676,0.00009789185,0.00005965798,0.00037900655,0.000009109486,0.0014751056],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9585708,0.017324347,0.0052180095,0.0022538926,0.0152115,0.0014215144],"domain_scores_gemma":[0.7881607,0.10402056,0.06029092,0.005615534,0.039138082,0.0027741757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03517534,0.00045623563,0.00085784873,0.007125914,0.00090395263,0.0034001167,0.0010355691,0.00080324506,0.0022041574],"category_scores_gemma":[0.13905141,0.00016072456,0.00077552104,0.0055779093,0.001069727,0.0029189042,0.0027456095,0.00078348734,0.0005542461],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011973841,0.0002279998,0.77676314,0.0006432738,0.0006026403,0.00025733543,0.005830948,0.0030645798,0.0008444176,0.011910945,0.0038813383,0.19477604],"study_design_scores_gemma":[0.000094696465,0.0014014886,0.9254167,0.00089501974,0.0004892895,0.00089339947,0.01138367,0.011813534,0.0033932654,0.014081739,0.029948862,0.00018829985],"about_ca_topic_score_codex":0.0018605873,"about_ca_topic_score_gemma":0.0015370804,"teacher_disagreement_score":0.03517534,"about_ca_system_score_codex":0.0030502484,"about_ca_system_score_gemma":0.0010596717,"threshold_uncertainty_score":0.18602717},"labels":[],"label_agreement":null},{"id":"W4395471056","doi":"10.2139/ssrn.4805116","title":"Intangible Capital with Synergy and Scalability: A New Measurement Framework","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Scalability; Business; Computer science; Database","score_opus":0.0159005248024009,"score_gpt":0.19793202149389633,"score_spread":0.18203149669149543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395471056","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23554653,0.0022145964,0.63113326,0.004474713,0.00034241067,0.00045434607,0.0012350406,0.00037420745,0.12422498],"genre_scores_gemma":[0.9350469,0.0005718211,0.061333686,0.00013745175,0.00019843761,0.0003080672,0.00021004991,0.000028015524,0.0021655774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99575955,0.001500032,0.00034686312,0.0008113166,0.001263955,0.00031826185],"domain_scores_gemma":[0.9844226,0.0068683666,0.0035091059,0.0020877481,0.001983078,0.0011291535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005466446,0.0011094343,0.00081674696,0.0049343198,0.00097663,0.0047653117,0.001474529,0.0013953728,0.0050150026],"category_scores_gemma":[0.018212691,0.00035508708,0.000935106,0.005373516,0.0064000115,0.012167941,0.0050141867,0.0023823776,0.00057520595],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077931174,0.00028314887,0.029498067,0.00016577533,0.00016784978,0.00018139389,0.0015476788,0.012361593,0.0012522709,0.8906788,0.0029380498,0.060847487],"study_design_scores_gemma":[0.00003972972,0.0003804236,0.03282315,0.00020307106,0.00013237685,0.00046730557,0.0014574027,0.07210141,0.0009896851,0.8786495,0.0126584815,0.00009758827],"about_ca_topic_score_codex":0.00207756,"about_ca_topic_score_gemma":0.0016496347,"teacher_disagreement_score":0.005466446,"about_ca_system_score_codex":0.0015457158,"about_ca_system_score_gemma":0.0019576438,"threshold_uncertainty_score":0.028909683},"labels":[],"label_agreement":null},{"id":"W4396597228","doi":"10.2139/ssrn.4814680","title":"Bitcoin, Speculative Sentiments and Crypto-Assets Valuation","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cryptocurrency; Valuation (finance); Monetary economics; Economics; Financial economics; Business; Computer security; Computer science; Finance","score_opus":0.026677736102032668,"score_gpt":0.24612581353875115,"score_spread":0.21944807743671849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396597228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96428096,0.0024217486,0.013325547,0.0024031592,0.00007249525,0.000012332203,0.00023080198,0.000035473568,0.017217515],"genre_scores_gemma":[0.99828726,0.000365802,0.00022046056,0.00001631632,0.000035582056,0.0000020416255,0.00003763472,0.000004662056,0.0010301835],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999819,0.00008050136,0.000012504285,0.00002240013,0.000039218416,0.000026449694],"domain_scores_gemma":[0.99172485,0.005361982,0.0019176167,0.0002285815,0.00043559176,0.00033142182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001077998,0.00028862682,0.00032382095,0.0005722462,0.00028674005,0.0028335438,0.000199288,0.00071895006,0.004203661],"category_scores_gemma":[0.0137426695,0.00012513284,0.00011278544,0.0007912431,0.0009580946,0.0036981727,0.00042948453,0.0009270254,0.0003089442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023869483,0.00034608928,0.12337,0.00030367603,0.00013610178,0.0011322227,0.0008123967,0.049661394,0.007476013,0.72387636,0.007196273,0.08330249],"study_design_scores_gemma":[0.000071479146,0.00009810432,0.04578236,0.00007047695,0.000034556917,0.00031057952,0.00035995882,0.19131316,0.0011526775,0.7589104,0.0018595645,0.00003677807],"about_ca_topic_score_codex":0.00085759745,"about_ca_topic_score_gemma":0.00070695987,"teacher_disagreement_score":0.004203661,"about_ca_system_score_codex":0.0006338098,"about_ca_system_score_gemma":0.0002466798,"threshold_uncertainty_score":0.014062583},"labels":[],"label_agreement":null},{"id":"W4396674530","doi":"10.3390/jrfm17050190","title":"Which Should Be Your Top Pick, Separately Managed Accounts or ETFs?","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Computer science","score_opus":0.04799139101327227,"score_gpt":0.26390255965932236,"score_spread":0.2159111686460501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396674530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98491895,0.0014013344,0.00056776515,0.0016678364,0.00009657609,0.000040795003,0.001546099,0.000028203192,0.00973232],"genre_scores_gemma":[0.99332786,0.0006188761,0.00060799794,0.00025999968,0.00006293372,0.000010319535,0.00072281697,0.000011230416,0.00437802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950445,0.00008242329,0.000044376255,0.00006936237,0.00016905695,0.00013041576],"domain_scores_gemma":[0.99625117,0.0007966395,0.0018162209,0.00013487015,0.0004694969,0.00053161284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000857173,0.00014795834,0.00021411935,0.001164874,0.0006512229,0.0015882696,0.00032399106,0.00039978285,0.005265091],"category_scores_gemma":[0.0059616766,0.00010421472,0.00022189169,0.0014054893,0.00033685195,0.0015904701,0.0004177363,0.0005691409,0.0014788932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005476652,0.00017020505,0.85409844,0.000094314026,0.00006840081,0.00037478484,0.0010482786,0.0003264565,0.0007257461,0.0027587477,0.012009881,0.1277771],"study_design_scores_gemma":[0.000032662985,0.00019911367,0.941119,0.00017597646,0.000072779534,0.00095502497,0.006094035,0.0013345218,0.0014497963,0.0020643417,0.0464654,0.000037164773],"about_ca_topic_score_codex":0.008019646,"about_ca_topic_score_gemma":0.014844552,"teacher_disagreement_score":0.008019646,"about_ca_system_score_codex":0.00053829385,"about_ca_system_score_gemma":0.00059387257,"threshold_uncertainty_score":0.01761347},"labels":[],"label_agreement":null},{"id":"W4396799573","doi":"10.1111/1911-3846.12949","title":"Bank sentiment and liquidity hoarding","year":2024,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hoarding (animal behavior); Market liquidity; Volition (linguistics); Endogeneity; Monetary economics; Business; Economics; Liquidity risk; Financial system; Econometrics; Medicine","score_opus":0.1178941061674677,"score_gpt":0.3168560584833037,"score_spread":0.19896195231583602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396799573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975821,0.000115503426,0.00020253127,0.000111113106,0.000004414986,0.0000035572505,0.00008395588,0.000004694366,0.0018921519],"genre_scores_gemma":[0.999681,0.000039063703,0.000040774605,0.0000128364545,0.0000062092754,0.000001115051,0.000039797484,9.910302e-7,0.00017824738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997396,0.00008198488,0.00002482177,0.000027057435,0.000071866925,0.000054751585],"domain_scores_gemma":[0.9890577,0.002434265,0.0071848496,0.00019406404,0.000717512,0.0004115288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074072793,0.00014461478,0.00018266124,0.00039906567,0.00018480906,0.0009628622,0.00010671138,0.0003002769,0.0022091612],"category_scores_gemma":[0.00524463,0.00007271468,0.0001118129,0.000510282,0.00026855813,0.0003658278,0.00031073816,0.00042865626,0.0002858516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032260356,0.00015054959,0.97193986,0.000047992144,0.000104250634,0.00015672726,0.00041304954,0.0018728564,0.0048685493,0.0014421294,0.00087110273,0.017810289],"study_design_scores_gemma":[0.000005607955,0.00005724299,0.9943885,0.000014362278,0.000035144774,0.00003923739,0.0002331507,0.0032633294,0.00091512693,0.00064377737,0.00039759697,0.000006847878],"about_ca_topic_score_codex":0.0017630341,"about_ca_topic_score_gemma":0.0021862595,"teacher_disagreement_score":0.0022091612,"about_ca_system_score_codex":0.0005106277,"about_ca_system_score_gemma":0.00018926554,"threshold_uncertainty_score":0.00739038},"labels":[],"label_agreement":null},{"id":"W4396877587","doi":"10.2139/ssrn.4824456","title":"Do Risk Preferences Drive Momentum in Cryptocurrencies?","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cryptocurrency; Market capitalization; Momentum (technical analysis); Capitalization; Asset (computer security); Business; Monetary economics; Capital asset pricing model; Financial economics; Economics; Stock market; Computer science; Computer security; Geography","score_opus":0.017835831382958616,"score_gpt":0.22423257952965703,"score_spread":0.20639674814669842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396877587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98089784,0.00036915852,0.0023067677,0.0014652197,0.000037647773,0.00001247326,0.00007102749,0.000023922168,0.0148158595],"genre_scores_gemma":[0.99895394,0.00006571811,0.00011169372,0.000035467172,0.000015831827,0.0000014562813,0.000011232712,0.000003429062,0.000801197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996321,0.00009447731,0.000018722722,0.000048978578,0.000069006215,0.00013665551],"domain_scores_gemma":[0.990306,0.0048192227,0.0027651014,0.00041382937,0.0005558332,0.0011401194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009628632,0.00017450789,0.00030062668,0.00063476554,0.0005114604,0.004215378,0.00027388873,0.0011006304,0.010535014],"category_scores_gemma":[0.021362687,0.00020360568,0.0001748892,0.00056384434,0.0009163115,0.0032419702,0.00060190447,0.0010804377,0.00086776644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035016674,0.001370472,0.5622336,0.00020157362,0.00021781134,0.0018364335,0.0031047575,0.01051828,0.006090324,0.25715226,0.005422142,0.14835069],"study_design_scores_gemma":[0.0004777758,0.0007795337,0.42486846,0.00016537822,0.00020293021,0.0013041693,0.0073896544,0.05698548,0.003912435,0.49589023,0.007904436,0.00011954286],"about_ca_topic_score_codex":0.001741229,"about_ca_topic_score_gemma":0.0015419811,"teacher_disagreement_score":0.010535014,"about_ca_system_score_codex":0.00047482076,"about_ca_system_score_gemma":0.00040686136,"threshold_uncertainty_score":0.035243094},"labels":[],"label_agreement":null},{"id":"W4396905203","doi":"10.1111/fima.12453","title":"On the anomaly tilts of factor funds","year":2024,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Portfolio; Anomaly (physics); Econometrics; Economics; Financial economics; Physics","score_opus":0.03235643625961194,"score_gpt":0.20775907376683297,"score_spread":0.17540263750722104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396905203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99749714,0.00014599132,0.0010205897,0.00005775228,0.000005981415,0.0000031006027,0.00008765684,0.000027578715,0.0011542693],"genre_scores_gemma":[0.99974567,0.000023709354,0.000109995286,0.0000047184362,0.000007313021,4.981188e-7,0.000039165945,0.0000021028484,0.00006680076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993063,0.00013772957,0.00006305406,0.0001087528,0.00024614044,0.00013800831],"domain_scores_gemma":[0.9937127,0.0023759045,0.0023870738,0.0005599496,0.0006147873,0.00034950837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018377134,0.000307187,0.000541399,0.0014022613,0.00018182419,0.001460007,0.00024015877,0.00037689236,0.0020297398],"category_scores_gemma":[0.014588686,0.000111867506,0.00021350979,0.0011555777,0.00065244676,0.0012778857,0.00070423447,0.00047586064,0.0003209671],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014058154,0.00010420311,0.8578238,0.00006336424,0.0002452432,0.00043469673,0.00030173684,0.037639834,0.009830125,0.010743902,0.001337798,0.08006947],"study_design_scores_gemma":[0.00004396065,0.0004113105,0.8896454,0.00002587855,0.00011926142,0.0004014864,0.00042847503,0.08468898,0.007939806,0.014446359,0.0017741725,0.0000749295],"about_ca_topic_score_codex":0.0016792775,"about_ca_topic_score_gemma":0.0009812416,"teacher_disagreement_score":0.0020297398,"about_ca_system_score_codex":0.000591621,"about_ca_system_score_gemma":0.0002267392,"threshold_uncertainty_score":0.009718895},"labels":[],"label_agreement":null},{"id":"W4396917286","doi":"10.1007/s00199-024-01573-w","title":"How nonlinear benchmark in delegation contract can affect asset price and price informativeness","year":2024,"lang":"en","type":"article","venue":"Economic Theory","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"National Natural Science Foundation of China","keywords":"Affect (linguistics); Delegation; Public finance; Asset (computer security); Economics; Benchmark (surveying); Microeconomics; Econometrics; Monetary economics; Financial economics; Computer science; Macroeconomics; Computer security","score_opus":0.011771044463262924,"score_gpt":0.20967623547854575,"score_spread":0.1979051910152828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396917286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8991077,0.00020073293,0.07073577,0.0014316849,0.00014859502,0.00004799742,0.00017377488,0.00018526205,0.027968496],"genre_scores_gemma":[0.9966344,0.000027629909,0.0016237954,0.0000377989,0.000011665993,0.000009648252,0.0000214332,0.000015003022,0.0016186554],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985813,0.000536368,0.000075290925,0.00020987816,0.00032516237,0.00027201802],"domain_scores_gemma":[0.98718655,0.0069617694,0.001372824,0.0020413576,0.0013157753,0.0011216631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030213732,0.00028834573,0.00047635534,0.00037905393,0.0006112243,0.0026993759,0.00062544266,0.0011128766,0.009417544],"category_scores_gemma":[0.037810892,0.00022837645,0.00020796477,0.0003625861,0.0011540486,0.0035358944,0.0010161981,0.0014149285,0.0007311539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020823157,0.0012279795,0.035015903,0.00019652917,0.00013602225,0.000933526,0.0010791915,0.19963475,0.04085503,0.6411441,0.0069841966,0.070710495],"study_design_scores_gemma":[0.00012274565,0.0003380138,0.023582421,0.000038018086,0.00006310269,0.00037600668,0.0005817538,0.6923989,0.008107037,0.2719147,0.0023804728,0.00009675511],"about_ca_topic_score_codex":0.001162504,"about_ca_topic_score_gemma":0.0006370446,"teacher_disagreement_score":0.009417544,"about_ca_system_score_codex":0.0010674807,"about_ca_system_score_gemma":0.0010915862,"threshold_uncertainty_score":0.03150481},"labels":[],"label_agreement":null},{"id":"W4396948945","doi":"10.1287/mnsc.2021.01379","title":"Tech-Enabled Financial Data Access, Retail Investors, and Gambling-Like Behavior in the Stock Market","year":2024,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Stock market; Finance; Financial market; Behavioral economics; Financial system","score_opus":0.11409502946336515,"score_gpt":0.29215106485512704,"score_spread":0.1780560353917619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396948945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963251,0.000052713654,0.00017530394,0.0003599191,0.000009409469,0.000009632104,0.00014954069,0.0000058034448,0.002912649],"genre_scores_gemma":[0.9984666,0.000048030684,0.00017593123,0.000116803705,0.000012692865,0.000010680262,0.00017759031,0.000003021123,0.0009885922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950147,0.00019124734,0.000040064875,0.00007745838,0.000108392655,0.000081406404],"domain_scores_gemma":[0.9876987,0.0057473076,0.0046753385,0.00043884022,0.00037191017,0.001067837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013316865,0.00011664963,0.00014693453,0.00038553766,0.00040257312,0.0013091791,0.00024348019,0.0005295365,0.008796109],"category_scores_gemma":[0.010344757,0.0001331912,0.00020453888,0.00038207148,0.0005297405,0.0009190632,0.00061434164,0.0009670615,0.0005030926],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005050754,0.0014390565,0.97351813,0.00003196479,0.00005877246,0.00016117582,0.00038117528,0.00038509147,0.000962363,0.0020508743,0.0019430403,0.018563243],"study_design_scores_gemma":[0.000020625634,0.00031088892,0.994334,0.000017695453,0.00003821817,0.00008603354,0.0005843684,0.0018924583,0.00042837992,0.0012732935,0.0010002891,0.000013847645],"about_ca_topic_score_codex":0.0041286377,"about_ca_topic_score_gemma":0.00757747,"teacher_disagreement_score":0.008796109,"about_ca_system_score_codex":0.00037765663,"about_ca_system_score_gemma":0.0003353794,"threshold_uncertainty_score":0.02942586},"labels":[],"label_agreement":null},{"id":"W4396951433","doi":"10.1016/j.jbankfin.2024.107217","title":"Does ownership concentration affect corporate bond volatility? Evidence from bond mutual funds","year":2024,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bond; Volatility (finance); Corporate bond; Business; Mutual fund; Monetary economics; Bond market; Market liquidity; Bond market index; Financial system; Financial economics; Economics; Finance","score_opus":0.05950702921885724,"score_gpt":0.2478604810154707,"score_spread":0.18835345179661345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396951433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969637,0.00066636957,0.00005294106,0.00040277297,0.0000052244277,0.0000034921643,0.00016259738,0.0000025338093,0.001740332],"genre_scores_gemma":[0.9990029,0.00038064073,0.000026054602,0.00004734764,0.000021666807,0.0000020206503,0.0001827554,0.0000020356206,0.00033461233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993604,0.00024728884,0.00006610409,0.00009449669,0.00012731364,0.00010439828],"domain_scores_gemma":[0.96665144,0.017929524,0.0114843,0.0012107532,0.0013087637,0.0014152257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021227621,0.00026664892,0.00045579314,0.0010413175,0.0005280657,0.0016917717,0.0006779659,0.0012777263,0.0045893523],"category_scores_gemma":[0.01827938,0.00029677455,0.00042981323,0.0011744832,0.0009430144,0.0013575597,0.0010518979,0.0007483495,0.00060921145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013017784,0.00021813976,0.98589504,0.000045032255,0.0003235709,0.00029786697,0.0004461409,0.00028531897,0.0010272246,0.0008267287,0.00044464448,0.008888595],"study_design_scores_gemma":[0.00007590229,0.00022270552,0.9960836,0.000022254257,0.0002967942,0.00017561983,0.0006162285,0.00038025013,0.00060286967,0.0005462276,0.00096671225,0.00001077902],"about_ca_topic_score_codex":0.008245411,"about_ca_topic_score_gemma":0.0063771163,"teacher_disagreement_score":0.008245411,"about_ca_system_score_codex":0.00043178847,"about_ca_system_score_gemma":0.0002442207,"threshold_uncertainty_score":0.016394854},"labels":[],"label_agreement":null},{"id":"W4398196931","doi":"10.1016/j.finmar.2024.100914","title":"Firm visibility, liquidity, and valuation for thinly traded assets","year":2024,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Peking University; National Natural Science Foundation of China","keywords":"Market liquidity; Valuation (finance); Business; Immediacy; Liquidity crisis; Monetary economics; Economics; Financial economics; Finance","score_opus":0.050254161507438264,"score_gpt":0.26778613234886733,"score_spread":0.21753197084142906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398196931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987192,0.00013637116,0.00022853473,0.000057504956,0.0000021838277,0.0000030748924,0.0000458987,0.0000033417102,0.000804007],"genre_scores_gemma":[0.99973077,0.000027784134,0.00004534526,0.0000037046004,0.000005134614,6.7354375e-7,0.000051536714,0.0000010549444,0.00013398327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996656,0.00007261611,0.000036199268,0.00004861143,0.000079849924,0.000097072356],"domain_scores_gemma":[0.95588905,0.021832542,0.017483123,0.0011035594,0.0009044673,0.0027872857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013729628,0.00019703692,0.00031293518,0.0013655111,0.00033477676,0.0029840034,0.00054779457,0.0009620824,0.0041397866],"category_scores_gemma":[0.023258742,0.00018993895,0.0002935466,0.0008285511,0.00062390126,0.0028578192,0.0010794305,0.0012242886,0.00025785493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019337217,0.0005575424,0.96202636,0.000064546184,0.00016734553,0.0009796636,0.000916431,0.0044766837,0.0046528913,0.0064303805,0.0005848742,0.017209575],"study_design_scores_gemma":[0.00006910135,0.0005861069,0.9544904,0.000066871355,0.0001225044,0.0008267041,0.0018573517,0.023772204,0.002117081,0.015377765,0.0006610883,0.00005284282],"about_ca_topic_score_codex":0.002641046,"about_ca_topic_score_gemma":0.0026964338,"teacher_disagreement_score":0.0041397866,"about_ca_system_score_codex":0.00048307783,"about_ca_system_score_gemma":0.00023146032,"threshold_uncertainty_score":0.01384896},"labels":[],"label_agreement":null},{"id":"W4398231390","doi":"10.1016/j.jbankfin.2026.107725","title":"Portfolio Size, Portfolio Composition, and the Skewness of Returns","year":2024,"lang":"en","type":"preprint","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Skewness; Portfolio; Econometrics; Composition (language); Economics; Financial economics","score_opus":0.017334800871186582,"score_gpt":0.22450478478673075,"score_spread":0.20716998391554417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398231390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919333,0.00028426366,0.0061240424,0.00018049317,0.00001039582,0.000005455268,0.000068686655,0.000027733611,0.0013655929],"genre_scores_gemma":[0.9990362,0.000100132136,0.0005028252,0.000010067116,0.00002010968,0.000002857697,0.00005246441,0.000007731619,0.0002675712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995888,0.00017965863,0.000033583714,0.000051294443,0.000095050425,0.000051534997],"domain_scores_gemma":[0.9825821,0.012740274,0.0025421628,0.0008719721,0.0006561331,0.0006073832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024390658,0.000289912,0.00042598328,0.00094327313,0.00015972632,0.0012735832,0.0002531706,0.0005675158,0.0023116528],"category_scores_gemma":[0.023840787,0.00028649933,0.00022348348,0.00062337436,0.00068563153,0.0021541538,0.0006475683,0.00053512957,0.00031036304],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002189707,0.00042448236,0.7694323,0.000098872915,0.000528167,0.0011778207,0.00045526066,0.051964257,0.026437495,0.04579699,0.0017508204,0.099743806],"study_design_scores_gemma":[0.00015845963,0.00031838776,0.5799124,0.000050361847,0.00015825423,0.0018615252,0.0002900585,0.22266543,0.0039474936,0.18991944,0.00065680814,0.000061303195],"about_ca_topic_score_codex":0.00025121192,"about_ca_topic_score_gemma":0.00024253696,"teacher_disagreement_score":0.0024390658,"about_ca_system_score_codex":0.00022974098,"about_ca_system_score_gemma":0.00019721058,"threshold_uncertainty_score":0.01289916},"labels":[],"label_agreement":null},{"id":"W4398247275","doi":"10.1016/j.najef.2024.102197","title":"Information content of option prices: Comparing analyst forecasts to option-based forecasts","year":2024,"lang":"en","type":"article","venue":"The North American Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Content (measure theory); Financial economics; Actuarial science; Economics; Business; Mathematics","score_opus":0.04026299200920636,"score_gpt":0.2108481021261351,"score_spread":0.17058511011692876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398247275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628042,0.0014636978,0.023461662,0.0016111666,0.00012747395,0.000050157065,0.0008062251,0.00015531306,0.0095199905],"genre_scores_gemma":[0.9973308,0.00021413973,0.0015833139,0.0000701798,0.00008847749,0.000009702992,0.0004996709,0.000018170189,0.00018562672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99433315,0.0024179039,0.00040449193,0.0004769183,0.0020981955,0.00026946154],"domain_scores_gemma":[0.72702444,0.24608897,0.010801282,0.0062577077,0.008744487,0.0010831411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013340887,0.0003704569,0.0005879194,0.003876547,0.00030484542,0.003035156,0.00067301607,0.0011960263,0.0023927393],"category_scores_gemma":[0.19911204,0.00025858858,0.00054877705,0.002068405,0.000899443,0.006766805,0.001261461,0.0012900444,0.00031241143],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0070538674,0.00071903557,0.4469815,0.0008351361,0.0019612368,0.00075641775,0.004711028,0.17272882,0.007671117,0.09109108,0.006572069,0.25891876],"study_design_scores_gemma":[0.00037852905,0.0009896709,0.38069084,0.0003018242,0.00054477935,0.0006575268,0.001845221,0.45549098,0.005614805,0.14899197,0.004187448,0.0003064736],"about_ca_topic_score_codex":0.0020155744,"about_ca_topic_score_gemma":0.000975075,"teacher_disagreement_score":0.013340887,"about_ca_system_score_codex":0.0008394927,"about_ca_system_score_gemma":0.0005417446,"threshold_uncertainty_score":0.0705542},"labels":[],"label_agreement":null},{"id":"W4399043787","doi":"10.3390/jrfm17060224","title":"Revolutionizing Hedge Fund Risk Management: The Power of Deep Learning and LSTM in Hedging Illiquid Assets","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hedge fund; Business; Assets under management; Risk management; Hedge; Power (physics); Actuarial science; Finance; Economics; Fixed asset; Microeconomics","score_opus":0.01274571612352118,"score_gpt":0.2143390515402717,"score_spread":0.2015933354167505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399043787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25413343,0.0070612137,0.7195618,0.0058101136,0.0002838059,0.00003372601,0.0001438516,0.00047421374,0.012497731],"genre_scores_gemma":[0.95068246,0.0017271002,0.046335496,0.00025047452,0.00008731975,0.000012044616,0.000042567528,0.000017162267,0.0008454821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997739,0.00009086425,0.000014616854,0.000034757217,0.00006424587,0.000021521108],"domain_scores_gemma":[0.9991027,0.0005861376,0.000110854446,0.00007683299,0.00009047589,0.00003289347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011259957,0.00049604895,0.0002860026,0.0003473753,0.00016295782,0.0014698746,0.0005495677,0.0008734929,0.00077997043],"category_scores_gemma":[0.0040287143,0.00018261734,0.0002176606,0.00043415016,0.0007167479,0.0029030598,0.001035614,0.001505674,0.00013254328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026278483,0.00016329413,0.0057531334,0.00022129249,0.00015055259,0.00027454857,0.0004887769,0.4768961,0.010942579,0.106243774,0.0024841642,0.39611903],"study_design_scores_gemma":[0.000008261055,0.000043909273,0.00052251527,0.000038138453,0.000018183364,0.00004067153,0.00004574136,0.9334283,0.002381839,0.062019005,0.0014419132,0.000011460395],"about_ca_topic_score_codex":0.0017376398,"about_ca_topic_score_gemma":0.002011705,"teacher_disagreement_score":0.0017376398,"about_ca_system_score_codex":0.00062074675,"about_ca_system_score_gemma":0.0006305048,"threshold_uncertainty_score":0.0059548616},"labels":[],"label_agreement":null},{"id":"W4399129521","doi":"10.17721/apmv.2023.156.1.67-73","title":"EXPLORING HEDGE FUNDS: A COMPREHENSIVE LOOK AT THEIR HISTORY, CURRENT STATUS, ANALYSES, AND EMERGING TRENDS","year":2023,"lang":"en","type":"article","venue":"ACTUAL PROBLEMS OF INTERNATIONAL RELATIONS","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"George Brown College","funders":"","keywords":"Hedge fund; Current (fluid); Hedge; Business; Economics; Engineering; Finance; Electrical engineering","score_opus":0.25579931373138287,"score_gpt":0.3019700703916935,"score_spread":0.04617075666031062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399129521","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06310507,0.8747754,0.0056008976,0.017481858,0.0004999918,0.00002154635,0.00023704275,0.00003423768,0.038243886],"genre_scores_gemma":[0.21721458,0.76696086,0.005357426,0.0021299976,0.002212876,0.000021595006,0.00030040758,0.00003644834,0.00576595],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943143,0.00017330772,0.000060588514,0.00006390811,0.00021405668,0.00005662679],"domain_scores_gemma":[0.9972365,0.0019138831,0.00037465632,0.00006071696,0.00029189285,0.00012237077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015686033,0.00028055956,0.00039794136,0.0055313,0.00074623514,0.004654933,0.0003606191,0.0013824854,0.0017875129],"category_scores_gemma":[0.004239227,0.00020741505,0.00022823842,0.009427678,0.0012914723,0.0075537977,0.0010627619,0.0016511541,0.00029748105],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014230964,0.00011078668,0.023678722,0.002988422,0.000090852,0.00066790305,0.006637165,0.0020885959,0.0019668944,0.25929454,0.021358475,0.6809754],"study_design_scores_gemma":[0.000010949046,0.00018122172,0.03285712,0.0049028425,0.000057068937,0.001799196,0.008035729,0.0025935073,0.0013884878,0.112075344,0.83602166,0.00007682036],"about_ca_topic_score_codex":0.0021475162,"about_ca_topic_score_gemma":0.0042308886,"teacher_disagreement_score":0.0055313,"about_ca_system_score_codex":0.0010200172,"about_ca_system_score_gemma":0.0010791004,"threshold_uncertainty_score":0.008295655},"labels":[],"label_agreement":null},{"id":"W4399138960","doi":"10.3390/jrfm17060227","title":"Do CEOs Identified as Value Investors Outperform Those Who Are Not?","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Business; Value (mathematics); Enterprise value; Accounting; Statistics; Mathematics","score_opus":0.022120058195885306,"score_gpt":0.2270897495287796,"score_spread":0.2049696913328943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399138960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970655,0.00054584414,0.00011231366,0.00052936445,0.000035009227,0.000008362587,0.00011019984,0.0000041779076,0.0015891646],"genre_scores_gemma":[0.99913293,0.00014988636,0.000051522406,0.00013005646,0.000044003216,0.0000038305234,0.00010602657,0.0000015882598,0.00038014268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880147,0.00026305424,0.00010250432,0.00019134591,0.00031984726,0.00032179308],"domain_scores_gemma":[0.9832259,0.004263907,0.008841507,0.0004235923,0.0012158261,0.0020292818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031492212,0.00022919662,0.0005013802,0.0013995382,0.00043491606,0.0013687668,0.00032808783,0.00073906005,0.0024651943],"category_scores_gemma":[0.01870534,0.000121637764,0.00024230074,0.0008147105,0.0005643828,0.0015671813,0.0005351204,0.0005216194,0.00082275085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011923625,0.000072829636,0.9863507,0.000022383923,0.00006732879,0.00007046629,0.00037435285,0.00011004909,0.0001959358,0.00024572783,0.0007367506,0.011634176],"study_design_scores_gemma":[0.000020405494,0.00016984151,0.99600756,0.000020618285,0.000051673265,0.000115560026,0.0016817783,0.00035978516,0.00021318404,0.00038326022,0.00096629694,0.000010093575],"about_ca_topic_score_codex":0.0038232119,"about_ca_topic_score_gemma":0.0068221837,"teacher_disagreement_score":0.0038232119,"about_ca_system_score_codex":0.00054121146,"about_ca_system_score_gemma":0.0004124506,"threshold_uncertainty_score":0.016654909},"labels":[],"label_agreement":null},{"id":"W4399145982","doi":"10.2139/ssrn.4700788","title":"Online Appendix to Accompany “Do Individual Investors Ignore Transaction Costs?”","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Transaction cost; Database transaction; Business; Economics; Computer science; Actuarial science; Econometrics; Microeconomics; Database","score_opus":0.0239996747452076,"score_gpt":0.2374399109075917,"score_spread":0.2134402361623841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399145982","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018942226,0.00029197434,0.009565927,0.007958112,0.0038476293,0.0012121556,0.67188895,0.003277633,0.30006334],"genre_scores_gemma":[0.02004352,0.0013159576,0.01961145,0.007288188,0.0022938496,0.003452621,0.3772214,0.0024295282,0.56634355],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990716,0.00014772023,0.00012972878,0.000099197176,0.00042803452,0.00012375477],"domain_scores_gemma":[0.978693,0.010288525,0.0009815881,0.0013083525,0.0080849845,0.0006436019],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014436095,0.00084794743,0.00084962766,0.0021099166,0.00092340756,0.0016406297,0.0015219345,0.0020477448,0.84784836],"category_scores_gemma":[0.024197053,0.0006221644,0.00069665443,0.002790599,0.00025377792,0.0019298786,0.0011119662,0.0013271758,0.62057036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016800082,0.000027418362,0.0001287641,0.000066418695,0.000001904368,0.000014583267,0.000009245568,0.00013355057,0.00002954905,0.0012844474,0.9907691,0.007518212],"study_design_scores_gemma":[0.00022347076,0.00004166565,0.0038107033,0.00033381736,0.000014179078,0.000115335744,0.0001712913,0.0014289245,0.00051576097,0.016637677,0.97666466,0.00004261875],"about_ca_topic_score_codex":0.010059645,"about_ca_topic_score_gemma":0.016442684,"teacher_disagreement_score":0.84784836,"about_ca_system_score_codex":0.001325951,"about_ca_system_score_gemma":0.002955232,"threshold_uncertainty_score":0.21702588},"labels":[],"label_agreement":null},{"id":"W4399275160","doi":"10.1016/j.jempfin.2024.101512","title":"Policy uncertainty, bad news disclosure, and stock price crash risk","year":2024,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Endogeneity; Earnings; Economics; Skewness; Stock (firearms); Monetary economics; Crash; Econometrics; Financial economics; Stock price; Actuarial science; Business; Accounting","score_opus":0.0393208704503462,"score_gpt":0.2952594888463284,"score_spread":0.2559386183959822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399275160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98852044,0.0017613886,0.0008103473,0.0052779717,0.00007504747,0.000009855179,0.00031964527,0.000012072135,0.0032132552],"genre_scores_gemma":[0.999278,0.00030668871,0.000028242483,0.00009101227,0.00005688622,0.0000014005536,0.000043277414,0.0000010800576,0.00019345807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991561,0.0003243059,0.00010072613,0.000095022966,0.00014036347,0.00018353679],"domain_scores_gemma":[0.9181977,0.052840635,0.02485313,0.0013465022,0.0011675075,0.0015945872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034754388,0.00014970501,0.0003228856,0.0006616347,0.00033153075,0.0025076533,0.00029514477,0.001916718,0.0034368413],"category_scores_gemma":[0.05347602,0.00021837797,0.0002352605,0.000773316,0.00066002493,0.0018518339,0.0006492457,0.001868013,0.00029465722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021061746,0.00059685536,0.94826114,0.00009627494,0.0003660538,0.0006002689,0.0005817662,0.011594241,0.0005037021,0.01123868,0.003841298,0.020213649],"study_design_scores_gemma":[0.00015850965,0.0006013906,0.8915727,0.00010299321,0.0004490599,0.0007013945,0.0022665197,0.047048483,0.0007504605,0.053624544,0.0026279467,0.00009604171],"about_ca_topic_score_codex":0.0022453598,"about_ca_topic_score_gemma":0.0018035054,"teacher_disagreement_score":0.0034754388,"about_ca_system_score_codex":0.00054214493,"about_ca_system_score_gemma":0.00040774103,"threshold_uncertainty_score":0.018380105},"labels":[],"label_agreement":null},{"id":"W4399279327","doi":"10.3386/w32530","title":"A Shared Interest: Do Bonds Strengthen Equity Monitoring?","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Equity (law); Bond; Business; Finance; Political science","score_opus":0.5529478305921671,"score_gpt":0.5004627759151893,"score_spread":0.05248505467697784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399279327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9150842,0.001437598,0.002955656,0.021423548,0.00013538207,0.00013190435,0.00052017486,0.000043947428,0.05826758],"genre_scores_gemma":[0.9949478,0.00040522555,0.0007426748,0.0006730236,0.000077039185,0.00002735537,0.00013230824,0.000007664021,0.002986839],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9925373,0.0037820125,0.00054003025,0.0007624317,0.0014168731,0.0009613621],"domain_scores_gemma":[0.90308154,0.0384959,0.03947319,0.005139257,0.0060107443,0.0077994424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010073331,0.00015957211,0.00031866998,0.00073177397,0.0006738221,0.002855574,0.0007361251,0.0012134087,0.016483266],"category_scores_gemma":[0.07670257,0.0002215881,0.0002854292,0.0012116404,0.0010280821,0.004478025,0.002310803,0.0011805496,0.00077486323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007913074,0.00071623304,0.7958192,0.00021939096,0.00027724257,0.00024030669,0.002348709,0.00061881973,0.0009653217,0.02104535,0.0073686293,0.16958946],"study_design_scores_gemma":[0.00017196295,0.0008692069,0.93889225,0.00037880894,0.00043815683,0.00024638147,0.005075392,0.0018638668,0.001770047,0.018801145,0.03145793,0.00003496685],"about_ca_topic_score_codex":0.0049091056,"about_ca_topic_score_gemma":0.008738625,"teacher_disagreement_score":0.016483266,"about_ca_system_score_codex":0.0010412119,"about_ca_system_score_gemma":0.0022078403,"threshold_uncertainty_score":0.055142045},"labels":[],"label_agreement":null},{"id":"W4399309984","doi":"10.2139/ssrn.4851783","title":"Procyclical Stocks Earn Higher Returns","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Economics; Download; Portfolio; Quarter (Canadian coin); Monetary economics; Developing country; Econometrics; Momentum (technical analysis); Business cycle; Financial economics; Macroeconomics","score_opus":0.018280619977630745,"score_gpt":0.2238270290258079,"score_spread":0.20554640904817714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399309984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850116,0.0007205614,0.00083930383,0.0005396167,0.00009664156,0.000018379415,0.0005942691,0.00008943136,0.01209016],"genre_scores_gemma":[0.9884213,0.00045182667,0.00023958477,0.00016784435,0.00015212735,0.000005825873,0.0004927766,0.0000222781,0.010046417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998186,0.00002352789,0.000018356403,0.00002534643,0.000055109635,0.000059157395],"domain_scores_gemma":[0.9918277,0.0015165268,0.0049158037,0.00049249444,0.00050933956,0.0007380698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048597206,0.0004144915,0.0003736588,0.0012473138,0.00024800203,0.0019418678,0.00021739077,0.00067818817,0.013413865],"category_scores_gemma":[0.0055327476,0.000151199,0.00028432894,0.0011429562,0.00024195814,0.00082064304,0.0005269633,0.0008428764,0.003176203],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072570075,0.0006876204,0.8362514,0.00016467054,0.0005455659,0.0009690208,0.0002950721,0.002342355,0.008121477,0.009772838,0.008322422,0.13180181],"study_design_scores_gemma":[0.00010318551,0.00056346593,0.97482467,0.000032850807,0.0003051239,0.0010523256,0.00045005928,0.0023973328,0.0032235265,0.0094659375,0.007553139,0.00002832435],"about_ca_topic_score_codex":0.0012333603,"about_ca_topic_score_gemma":0.0016367377,"teacher_disagreement_score":0.013413865,"about_ca_system_score_codex":0.00028660503,"about_ca_system_score_gemma":0.0001549435,"threshold_uncertainty_score":0.044873893},"labels":[],"label_agreement":null},{"id":"W4399314714","doi":"10.7202/1107527ar","title":"MOMENTUM ET VOLUME DE TRANSACTIONSUR LE MARCHÉ BOURSIER CANADIEN","year":2002,"lang":"fr","type":"article","venue":"Assurances :","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physics","score_opus":0.026178303760376723,"score_gpt":0.2049870106072059,"score_spread":0.17880870684682917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399314714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630926,0.0018853181,0.011004895,0.00087344233,0.00007875013,0.000057601585,0.00076864794,0.00016859974,0.022070145],"genre_scores_gemma":[0.98952967,0.0005899758,0.0015535589,0.000029638839,0.000026254049,0.000026855483,0.0003589097,0.0000367595,0.007848275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990829,0.0002436828,0.000052029132,0.00017635438,0.00031450714,0.00013049533],"domain_scores_gemma":[0.98751926,0.0076422375,0.0023765552,0.00060451525,0.0012524533,0.0006049166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025202672,0.0007837337,0.000853754,0.002046049,0.00053788663,0.006817111,0.0008689111,0.0014751696,0.012548062],"category_scores_gemma":[0.02164503,0.00040438917,0.0008021822,0.0025158238,0.00086972077,0.0040366664,0.000919849,0.0011804973,0.0016197083],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026798171,0.00033651228,0.3768911,0.00039141756,0.00069977745,0.00091140025,0.0021543228,0.39520395,0.006241723,0.10311545,0.0029630712,0.10841147],"study_design_scores_gemma":[0.0002006163,0.0010609338,0.37783837,0.00018800724,0.00030366998,0.00065406726,0.0020245786,0.51879513,0.0051140036,0.07671302,0.016805789,0.0003017983],"about_ca_topic_score_codex":0.018785045,"about_ca_topic_score_gemma":0.0092645595,"teacher_disagreement_score":0.98121494,"about_ca_system_score_codex":0.0026898205,"about_ca_system_score_gemma":0.00096932385,"threshold_uncertainty_score":0.041977465},"labels":[],"label_agreement":null},{"id":"W4399316383","doi":"10.1016/j.jfineco.2024.103870","title":"The social signal","year":2024,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"SIGNAL (programming language); Computer science","score_opus":0.024506941900169284,"score_gpt":0.2222787571356311,"score_spread":0.19777181523546183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399316383","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.117690526,0.0028938677,0.05502992,0.106000945,0.0023805737,0.000073283554,0.0008345624,0.00018638803,0.71490985],"genre_scores_gemma":[0.95816475,0.0011171976,0.0024806852,0.003731253,0.0013509057,0.00004259963,0.00014123812,0.000045166358,0.03292617],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99877614,0.00054963434,0.000031161573,0.00024405583,0.00028738024,0.0001115425],"domain_scores_gemma":[0.99591196,0.0020240934,0.0004871552,0.0005500587,0.00059254107,0.0004342857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015276995,0.00023969462,0.0002983971,0.0012519193,0.0011196721,0.0040838863,0.00037072925,0.002010722,0.01727707],"category_scores_gemma":[0.010652531,0.00016809118,0.00018379265,0.0007436699,0.0038126283,0.0045397333,0.0016332353,0.0016702183,0.0020489087],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003415131,0.000019864603,0.0014346401,0.000030847164,0.000019649658,0.00010168704,0.00066286937,0.0004758547,0.0005237424,0.96485394,0.012090948,0.019751858],"study_design_scores_gemma":[0.00002075319,0.00004259684,0.0031156593,0.000057170288,0.000019124516,0.0001632418,0.0008132165,0.0027162556,0.00025395534,0.9016824,0.09109489,0.00002073428],"about_ca_topic_score_codex":0.0010854867,"about_ca_topic_score_gemma":0.0010181502,"teacher_disagreement_score":0.01727707,"about_ca_system_score_codex":0.0012343733,"about_ca_system_score_gemma":0.00075902947,"threshold_uncertainty_score":0.05779755},"labels":[],"label_agreement":null},{"id":"W4399436163","doi":"10.1016/j.finmar.2024.100927","title":"The volatility of stock investor returns","year":2024,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Volatility (finance); Volatility risk premium; Economics; Stock (firearms); Volatility swap; Volatility smile; Financial economics; Implied volatility; Monetary economics; Equity (law); Econometrics","score_opus":0.026247832147564282,"score_gpt":0.2291572836176218,"score_spread":0.2029094514700575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399436163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881551,0.0010181552,0.0058789123,0.0012798026,0.00007540175,0.000005724292,0.00027596916,0.00004676536,0.0032641443],"genre_scores_gemma":[0.99883455,0.00022909294,0.00014549651,0.000029094805,0.000056978934,0.000001383348,0.000113553055,0.000008452242,0.00058130815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996636,0.00007884884,0.00003238562,0.000057840745,0.000110605804,0.000056755114],"domain_scores_gemma":[0.9891823,0.007462944,0.0018214685,0.00047418295,0.0006929337,0.00036618943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001549259,0.00019896217,0.0003943769,0.0009405737,0.0001953641,0.0022256128,0.0003957136,0.0011536155,0.001989421],"category_scores_gemma":[0.021692349,0.00036628213,0.00035029263,0.00072782044,0.00046731404,0.0022533895,0.00042920336,0.0012041482,0.00041437775],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009822662,0.00029577,0.7009074,0.00013199516,0.00080152455,0.0016196454,0.0007068143,0.0642793,0.015701495,0.14491098,0.0068742004,0.06278856],"study_design_scores_gemma":[0.00005065472,0.00021872189,0.6193765,0.000052743046,0.00018455752,0.0011678307,0.0003088959,0.2897363,0.003778159,0.08238297,0.0026501603,0.000092478695],"about_ca_topic_score_codex":0.001484256,"about_ca_topic_score_gemma":0.0015254144,"teacher_disagreement_score":0.0022256128,"about_ca_system_score_codex":0.00052218727,"about_ca_system_score_gemma":0.00026592484,"threshold_uncertainty_score":0.008193374},"labels":[],"label_agreement":null},{"id":"W4399600485","doi":"10.1016/j.gfj.2024.101004","title":"The battle of factors","year":2024,"lang":"en","type":"article","venue":"Global Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Battle; Business; History; Ancient history","score_opus":0.023412498354788088,"score_gpt":0.22835316201403727,"score_spread":0.20494066365924918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399600485","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024233477,0.040134955,0.027436556,0.19096838,0.0043677916,0.00004014187,0.000376899,0.00012000904,0.71232176],"genre_scores_gemma":[0.8324813,0.019203473,0.006453513,0.024314666,0.004883226,0.00007924969,0.00022114889,0.00027208705,0.112091355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974564,0.0009778172,0.00007238256,0.0006052564,0.00062665995,0.00026153735],"domain_scores_gemma":[0.9954724,0.0022062873,0.00032405637,0.00082380883,0.00072113966,0.000452238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004436791,0.00087084115,0.00088401703,0.0018359937,0.0028591622,0.011311605,0.0008845907,0.0040665134,0.023035724],"category_scores_gemma":[0.010132856,0.00046551717,0.0005061894,0.0018394995,0.016701931,0.014700421,0.0031364886,0.0063363835,0.0039341403],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013565927,0.000004832308,0.00021538173,0.00001757119,0.0000089823125,0.00003344158,0.00042464255,0.00012853723,0.0000476388,0.9824119,0.007541178,0.00915231],"study_design_scores_gemma":[0.000012159363,0.0000135259825,0.00053326803,0.00012008644,0.000008822247,0.00007510161,0.00079398457,0.00027193167,0.00007090393,0.8201191,0.17796832,0.000012812495],"about_ca_topic_score_codex":0.0049102353,"about_ca_topic_score_gemma":0.0041992357,"teacher_disagreement_score":0.023035724,"about_ca_system_score_codex":0.0037242838,"about_ca_system_score_gemma":0.0026370373,"threshold_uncertainty_score":0.07706219},"labels":[],"label_agreement":null},{"id":"W4399615628","doi":"10.1002/for.3164","title":"Reducing transaction costs using intraday forecasts of limit order book slopes","year":2024,"lang":"en","type":"article","venue":"Journal of Forecasting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Federación Nacional de Cultivadores de Palma de Aceite","keywords":"Transaction cost; Limit (mathematics); Order (exchange); Econometrics; Order book; Database transaction; Economics; Computer science; Mathematics; Finance; Database","score_opus":0.06747201671472121,"score_gpt":0.24250206525547013,"score_spread":0.17503004854074894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399615628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92892283,0.00060890295,0.06572027,0.00055878796,0.00004955445,0.000034192093,0.00090940064,0.00036941905,0.0028266283],"genre_scores_gemma":[0.98856926,0.000086327374,0.010766243,0.000015478443,0.00001847141,0.0000070841284,0.00028173422,0.000009785415,0.0002455863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992993,0.00025270059,0.00005977613,0.00012498745,0.00020471383,0.000058568377],"domain_scores_gemma":[0.99057966,0.0053975494,0.0018805014,0.00083813904,0.001110052,0.00019408813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018307196,0.0005355485,0.0005361072,0.0013029055,0.00019525089,0.0014358308,0.00053704856,0.00044514882,0.0012425352],"category_scores_gemma":[0.012994571,0.00022472726,0.00024931048,0.0012026094,0.00017250674,0.0018099163,0.0005140606,0.00091555965,0.00027766434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005559166,0.00032725232,0.2661896,0.00012332143,0.0002492428,0.00015461174,0.00020081316,0.55799854,0.0046657166,0.003401395,0.003683661,0.16244987],"study_design_scores_gemma":[0.000016073323,0.0000871371,0.03323245,0.000017832059,0.00003489843,0.000034165354,0.000077544304,0.96205527,0.0017875205,0.0020570164,0.0005740559,0.000026089976],"about_ca_topic_score_codex":0.011039737,"about_ca_topic_score_gemma":0.011521974,"teacher_disagreement_score":0.011039737,"about_ca_system_score_codex":0.00051328674,"about_ca_system_score_gemma":0.0006547955,"threshold_uncertainty_score":0.02195096},"labels":[],"label_agreement":null},{"id":"W4399626380","doi":"10.1142/s2424786324500087","title":"Information transparency and stock sentiment beta: Evidence from China","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Engineering","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"Fundamental Research Funds for the Central Universities; Liaoning Revitalization Talents Program; National Natural Science Foundation of China","keywords":"Accrual; Transparency (behavior); Stock (firearms); Corporate governance; Earnings; Business; Endogeneity; Economics; Monetary economics; Accounting; Econometrics; Finance; Computer science","score_opus":0.01591136433901097,"score_gpt":0.2129567583451558,"score_spread":0.19704539400614482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399626380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985329,0.00024943746,0.000062463936,0.00010366001,0.0000021419162,0.000004955407,0.0003081384,0.0000020691832,0.00073432905],"genre_scores_gemma":[0.9991097,0.00021523441,0.000035298202,0.000020660975,0.000007326233,0.000002158381,0.00041789567,0.000001034714,0.00019065384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995857,0.00007102508,0.00005826706,0.00006685934,0.00014077108,0.00007740864],"domain_scores_gemma":[0.9954959,0.0009747159,0.0021771982,0.0002723249,0.0007546214,0.0003252787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010353645,0.00026477047,0.00026116692,0.0017663983,0.00048221496,0.0008216575,0.00025353752,0.0002764685,0.0013216623],"category_scores_gemma":[0.0026351544,0.00017344688,0.00042712872,0.00237498,0.0004723384,0.00041740906,0.0005490721,0.00028425144,0.00013530024],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044813514,0.000030176512,0.9937641,0.000040754207,0.00008144621,0.00021282256,0.00047507766,0.00020135229,0.00028956123,0.00017283371,0.00025982255,0.0044273706],"study_design_scores_gemma":[0.00000323009,0.000015380021,0.99890494,0.000006855508,0.000033145905,0.000035784866,0.00015176105,0.0004528096,0.00010800097,0.00003731097,0.00024656544,0.0000043113296],"about_ca_topic_score_codex":0.07134829,"about_ca_topic_score_gemma":0.076722614,"teacher_disagreement_score":0.07134829,"about_ca_system_score_codex":0.000692254,"about_ca_system_score_gemma":0.0008840566,"threshold_uncertainty_score":0.14186597},"labels":[],"label_agreement":null},{"id":"W4399739451","doi":"10.1287/mnsc.2022.02650","title":"Trading Gamification and Investor Behavior","year":2024,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; The Scarborough Hospital; University of Toronto","funders":"","keywords":"Business; Economics; Financial economics; Microeconomics","score_opus":0.0416123770720563,"score_gpt":0.2371567744444372,"score_spread":0.19554439737238088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399739451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98597556,0.00016070413,0.0038588862,0.0004035504,0.000054840963,0.00022194583,0.0019399996,0.00015148835,0.007233],"genre_scores_gemma":[0.98515564,0.00011732619,0.006832389,0.00030499534,0.00003863436,0.0010947424,0.0012408453,0.000054874632,0.005160507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999033,0.000406785,0.00007015258,0.00024036644,0.00013957468,0.00011010971],"domain_scores_gemma":[0.978819,0.014770733,0.003171562,0.0018900823,0.00044733874,0.0009012315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002334688,0.00044609417,0.000725466,0.00040980455,0.00034314685,0.0016403705,0.0005261422,0.0011889451,0.030627644],"category_scores_gemma":[0.015906466,0.0003305688,0.00045389473,0.00028621047,0.0004464094,0.0009738132,0.0008962631,0.0013572094,0.0021833002],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.026526373,0.052014805,0.5664119,0.0020097683,0.00095488154,0.0005877196,0.0030460572,0.01398317,0.080621175,0.03521263,0.020948438,0.19768311],"study_design_scores_gemma":[0.0031489271,0.019148968,0.8263518,0.0002300815,0.0006536004,0.00044346368,0.00085570384,0.060482785,0.020677473,0.05354539,0.014235567,0.00022608107],"about_ca_topic_score_codex":0.00046512284,"about_ca_topic_score_gemma":0.00056154805,"teacher_disagreement_score":0.030627644,"about_ca_system_score_codex":0.0003148135,"about_ca_system_score_gemma":0.00023864841,"threshold_uncertainty_score":0.10245967},"labels":[],"label_agreement":null},{"id":"W4399823754","doi":"10.1111/jofi.13362","title":"Insensitive Investors","year":2024,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada)","funders":"National Science Foundation","keywords":"Business; Financial system","score_opus":0.03209832908783653,"score_gpt":0.21754576588767685,"score_spread":0.18544743679984033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399823754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90118575,0.0002750733,0.052298203,0.0009093506,0.00012894736,0.00016716625,0.00018475017,0.00027827144,0.044572618],"genre_scores_gemma":[0.9946607,0.000060626986,0.0029595052,0.00030284486,0.000020731086,0.00003111956,0.000042749063,0.000019681725,0.0019020459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9969668,0.001113296,0.00020066368,0.0006293228,0.0008896219,0.00020044851],"domain_scores_gemma":[0.9827239,0.00972072,0.0028526816,0.0036115719,0.0006399748,0.00045106976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003725554,0.0005567441,0.00052990764,0.00035545405,0.00028642802,0.0019594708,0.0005858012,0.0010223862,0.007368674],"category_scores_gemma":[0.026342556,0.00038493867,0.0002573377,0.00019455308,0.0009948735,0.0019679123,0.0012189018,0.0015659872,0.0009120383],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0069422396,0.0027019684,0.094952576,0.0009695514,0.000984729,0.0020218252,0.0045868414,0.04374093,0.2882873,0.2958521,0.010012908,0.24894698],"study_design_scores_gemma":[0.0020334339,0.00798561,0.12587194,0.0003156277,0.001194158,0.0032608204,0.0019363696,0.24290253,0.13163167,0.44537166,0.037050866,0.00044532891],"about_ca_topic_score_codex":0.00041071442,"about_ca_topic_score_gemma":0.00017624785,"teacher_disagreement_score":0.007368674,"about_ca_system_score_codex":0.00047442873,"about_ca_system_score_gemma":0.00025607186,"threshold_uncertainty_score":0.024650693},"labels":[],"label_agreement":null},{"id":"W4399891620","doi":"10.1007/s43546-024-00674-x","title":"Inflation, risk, and dividend growth","year":2024,"lang":"en","type":"article","venue":"SN Business & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Inflation (cosmology); Economics; Dividend; Monetary economics; Finance; Physics","score_opus":0.018745584957351978,"score_gpt":0.19065195637734805,"score_spread":0.17190637141999607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399891620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98793614,0.0028607028,0.0012066951,0.0017151405,0.000045597928,0.000005513938,0.0001542158,0.000023005989,0.006052935],"genre_scores_gemma":[0.9983734,0.0005063282,0.000105056744,0.000034937537,0.000057098703,0.0000020453488,0.000067798304,0.0000036355962,0.00084966625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999783,0.00009101303,0.000018766166,0.000023858971,0.000037870865,0.00004551569],"domain_scores_gemma":[0.99119556,0.005857944,0.0016778441,0.00020102826,0.00029363134,0.0007739882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012431798,0.00022875083,0.00024787133,0.00060537056,0.00026165566,0.0018427663,0.00021106872,0.0009831078,0.0027330976],"category_scores_gemma":[0.014570729,0.00015560474,0.00027125314,0.0005854375,0.00052321336,0.0011110149,0.0004963474,0.0011830229,0.00042980645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014217182,0.0004003675,0.939028,0.00005351358,0.000209233,0.00053540204,0.00037317036,0.008932363,0.00061019236,0.019768802,0.0017067577,0.026960336],"study_design_scores_gemma":[0.00006464294,0.00023503472,0.8676307,0.000068344954,0.00023023675,0.00072263356,0.0008608724,0.039502554,0.00055330095,0.08755761,0.0025239233,0.00005008299],"about_ca_topic_score_codex":0.0027551295,"about_ca_topic_score_gemma":0.0026210868,"teacher_disagreement_score":0.0027551295,"about_ca_system_score_codex":0.00047840286,"about_ca_system_score_gemma":0.00038473855,"threshold_uncertainty_score":0.009143174},"labels":[],"label_agreement":null},{"id":"W4399906973","doi":"10.1111/1911-3846.12959","title":"Performance measure skewness and the structure of <scp>CEO</scp> compensation: Theory and evidence","year":2024,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Nanyang Technological University; National University of Singapore","keywords":"Skewness; Econometrics; Economics; Incentive; Convexity; Variance (accounting); Earnings; Volatility (finance); Measure (data warehouse); Compensation (psychology); Financial economics; Microeconomics; Accounting; Computer science; Psychology","score_opus":0.0792880394586876,"score_gpt":0.2880454950405804,"score_spread":0.2087574555818928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399906973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978443,0.0025275485,0.0076111765,0.00094913505,0.000018343851,0.000017680759,0.000184106,0.000043289347,0.010205711],"genre_scores_gemma":[0.9994485,0.0001906481,0.00021619626,0.000019831652,0.000015949516,0.0000015502951,0.000036667567,0.0000026246885,0.00006803527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982697,0.00070642406,0.0001630825,0.0001926962,0.0005464616,0.00012172231],"domain_scores_gemma":[0.9061092,0.048796825,0.03175015,0.0041958634,0.007717231,0.0014306646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048343195,0.00030204732,0.00040199343,0.0023637142,0.00031690125,0.0025943099,0.00054124626,0.00047726367,0.003230425],"category_scores_gemma":[0.04324339,0.00022565911,0.0003227176,0.0018025375,0.0023656064,0.0015147085,0.0010006516,0.00068124384,0.0004636746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030246834,0.00011076326,0.927871,0.00011163369,0.0003013469,0.00018889648,0.00038485427,0.006671209,0.0008641254,0.024610797,0.00070806703,0.037874993],"study_design_scores_gemma":[0.000035777615,0.00013505087,0.90806127,0.00016747606,0.000103375016,0.00038030397,0.0008324568,0.02453868,0.0012745381,0.06318895,0.001232152,0.000049926286],"about_ca_topic_score_codex":0.0016503109,"about_ca_topic_score_gemma":0.0007787896,"teacher_disagreement_score":0.0048343195,"about_ca_system_score_codex":0.00086745806,"about_ca_system_score_gemma":0.00059817743,"threshold_uncertainty_score":0.025566638},"labels":[],"label_agreement":null},{"id":"W4400000635","doi":"10.2139/ssrn.4876453","title":"Financial Statement Dissimilarity Matters: Evidence from Private Debt Contracts","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Debt; Business; Financial statement; Statement (logic); Finance; Financial system; Accounting; Political science; Audit","score_opus":0.03144983814692267,"score_gpt":0.2510393799249561,"score_spread":0.21958954177803344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400000635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99261695,0.0009970298,0.00025734023,0.0012666672,0.000021898717,0.000013719714,0.0008360401,0.000009404043,0.00398096],"genre_scores_gemma":[0.9972051,0.00036006645,0.00009002957,0.00014338757,0.00007844675,0.0000053171248,0.00097515073,0.000013108829,0.0011293978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975509,0.0010581503,0.00026518348,0.00033814213,0.0005273155,0.00026038714],"domain_scores_gemma":[0.7637171,0.14536653,0.06988859,0.010307515,0.004118237,0.0066020144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006722057,0.0003424297,0.00087757147,0.0013041104,0.0009255427,0.002829696,0.0013975977,0.0022710639,0.021979976],"category_scores_gemma":[0.08526869,0.00040194,0.00050641457,0.0026491396,0.0017219245,0.0028774312,0.0017125745,0.0025105092,0.0024132528],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010384451,0.0023340583,0.92967683,0.00027834965,0.0007600064,0.0006745836,0.0017996567,0.0018762469,0.0010215235,0.0077622784,0.005656963,0.037775047],"study_design_scores_gemma":[0.0011385997,0.0011870032,0.96692145,0.00011647957,0.0005213595,0.00096526195,0.0025625972,0.0041532763,0.0008261186,0.01496213,0.0065915165,0.000054311004],"about_ca_topic_score_codex":0.003259607,"about_ca_topic_score_gemma":0.0023610462,"teacher_disagreement_score":0.021979976,"about_ca_system_score_codex":0.00040813492,"about_ca_system_score_gemma":0.00039330873,"threshold_uncertainty_score":0.073530376},"labels":[],"label_agreement":null},{"id":"W4400061856","doi":"10.2139/ssrn.4870547","title":"Liquidity Premium and the Shape of Transaction Costs","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Market liquidity; Liquidity premium; Transaction cost; Business; Database transaction; Monetary economics; Economics; Liquidity risk; Finance; Computer science; Database","score_opus":0.015439963895411959,"score_gpt":0.21378268382046184,"score_spread":0.19834271992504987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400061856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9550351,0.0017849864,0.025357733,0.0040895585,0.000066749286,0.0000152469465,0.00035490553,0.00019594622,0.013099817],"genre_scores_gemma":[0.9985292,0.00015305208,0.0004065163,0.000036782625,0.000039977345,0.00000240937,0.000031395728,0.000016652213,0.00078391324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99964166,0.0001223746,0.000019047111,0.0000692946,0.00005521229,0.0000924422],"domain_scores_gemma":[0.9678084,0.024031565,0.0049236594,0.0010504052,0.0008126382,0.0013733223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019193325,0.00030343447,0.00058007205,0.0013076738,0.00029024467,0.0040358747,0.00071482157,0.0021765986,0.0077485824],"category_scores_gemma":[0.031101407,0.00038763977,0.00027228903,0.00083445833,0.0013018858,0.005000545,0.0007516326,0.002150858,0.00057603826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019228766,0.00030412752,0.081223935,0.00031087373,0.00020084278,0.0019739438,0.0011468084,0.10155431,0.014993984,0.7367858,0.00809874,0.051483687],"study_design_scores_gemma":[0.00015660307,0.00013548667,0.057973433,0.000077224046,0.00008395935,0.0009091682,0.0005388452,0.33171266,0.0016055022,0.60553885,0.0011314172,0.000136846],"about_ca_topic_score_codex":0.0008629634,"about_ca_topic_score_gemma":0.000619686,"teacher_disagreement_score":0.0077485824,"about_ca_system_score_codex":0.0008314584,"about_ca_system_score_gemma":0.00035197625,"threshold_uncertainty_score":0.025921583},"labels":[],"label_agreement":null},{"id":"W4400072485","doi":"10.2139/ssrn.4873964","title":"The Missing Dimension of Risk: Evidence from Inside Debt Maturity and Acquisition Choices *","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Maturity (psychological); Dimension (graph theory); Debt; Econometrics; Actuarial science; Economics; Business; Financial economics; Mathematics; Psychology; Finance","score_opus":0.015350067535417422,"score_gpt":0.22664369066516657,"score_spread":0.21129362312974914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400072485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995832,0.0006793662,0.00036940796,0.0006978937,0.000008874093,0.000003456434,0.00054581993,0.0000046223795,0.0018584497],"genre_scores_gemma":[0.9981773,0.00031194987,0.00011656836,0.000069978014,0.000025070762,0.0000026964121,0.0006338513,0.000005674306,0.0006570034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846506,0.00071743445,0.00018609855,0.00023319782,0.00022103923,0.00017712286],"domain_scores_gemma":[0.80611455,0.12933326,0.04531759,0.011225869,0.0028267743,0.0051819524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059284526,0.000314812,0.000815856,0.0009867122,0.000752834,0.002397893,0.0011352062,0.0017963842,0.009931082],"category_scores_gemma":[0.055092685,0.00047889052,0.0004918834,0.0015729938,0.0012642901,0.003348558,0.0015554004,0.0029963155,0.0015357668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016853918,0.00048487048,0.9812563,0.00006283526,0.0002606638,0.00021925573,0.0007659648,0.0006649989,0.00033642256,0.0025488015,0.0007640008,0.010950447],"study_design_scores_gemma":[0.00007700147,0.00039768708,0.98166543,0.00009897449,0.00025583434,0.00042817797,0.0017523088,0.0025777854,0.00061860087,0.010321137,0.0017683107,0.000038787915],"about_ca_topic_score_codex":0.0035181807,"about_ca_topic_score_gemma":0.0049054036,"teacher_disagreement_score":0.009931082,"about_ca_system_score_codex":0.00019888878,"about_ca_system_score_gemma":0.00029301754,"threshold_uncertainty_score":0.033222795},"labels":[],"label_agreement":null},{"id":"W4400079215","doi":"10.3390/jrfm17070268","title":"Risk Premium and Fear of Investors in Crisis’ Periods: An Empirical Approach Based on Fama–French and Carhart Factor Models","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial crisis; Momentum (technical analysis); Economics; Explanatory power; Risk premium; Empirical research; Econometrics; Monetary economics; Financial economics; Mathematics; Macroeconomics; Statistics","score_opus":0.029126313082978857,"score_gpt":0.23071521480657697,"score_spread":0.2015889017235981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400079215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98081106,0.0010048485,0.014759087,0.0005087392,0.000031573807,0.000085033455,0.0003560045,0.000059078782,0.002384589],"genre_scores_gemma":[0.99771106,0.00023696343,0.001321037,0.00003078679,0.00003252242,0.000033025186,0.00022419184,0.000004382323,0.0004060492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987961,0.00055870484,0.00005824675,0.00021476012,0.00017450601,0.00019760568],"domain_scores_gemma":[0.98904026,0.008084116,0.001805217,0.0003485268,0.00031855283,0.00040332248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004525346,0.00065726234,0.00091255025,0.0024594457,0.00042855556,0.0019516309,0.0008011841,0.0017548023,0.0028866054],"category_scores_gemma":[0.011865034,0.00030052123,0.0019337503,0.0018163432,0.00080566085,0.0014568168,0.0010864411,0.0015988041,0.00026622062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010967831,0.0008466894,0.81997466,0.00021083212,0.0015531449,0.0010651586,0.0017718258,0.10445511,0.0017360493,0.024253905,0.0024812797,0.040554617],"study_design_scores_gemma":[0.00011626114,0.0010949711,0.3734928,0.00015424014,0.000757289,0.0005317052,0.0020044933,0.5993682,0.0010954081,0.017892871,0.003331149,0.0001605786],"about_ca_topic_score_codex":0.011419142,"about_ca_topic_score_gemma":0.004198552,"teacher_disagreement_score":0.011419142,"about_ca_system_score_codex":0.0009069623,"about_ca_system_score_gemma":0.00075441785,"threshold_uncertainty_score":0.023932636},"labels":[],"label_agreement":null},{"id":"W4400091244","doi":"10.1007/s12197-024-09676-9","title":"On the linkage of momentum and reversal – evidence from the G7 stock markets","year":2024,"lang":"en","type":"article","venue":"Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Economics; Financial economics; Stock market; Momentum (technical analysis); Decoupling (probability); Monetary economics; Econometrics; Geography; Engineering","score_opus":0.03785891312089561,"score_gpt":0.21367949771749467,"score_spread":0.17582058459659905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400091244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934409,0.00057686,0.00038139863,0.00042328873,0.000015167105,0.000012129403,0.00018210485,0.000010840992,0.0049574147],"genre_scores_gemma":[0.9990853,0.00022644836,0.000113417576,0.000057686895,0.000039613606,0.000002171157,0.00028856326,0.00000594735,0.00018076124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898785,0.0002453616,0.00010208188,0.00015475175,0.00034768478,0.00016227423],"domain_scores_gemma":[0.98135847,0.006530672,0.006939554,0.0017094907,0.0023312462,0.0011306739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023483739,0.0002916972,0.000596264,0.0029779803,0.0005744732,0.002215072,0.00061342336,0.00087954296,0.0042550797],"category_scores_gemma":[0.01672926,0.00022188155,0.00037460608,0.0022684701,0.0020336525,0.0020069422,0.0019269391,0.0009695621,0.00076007063],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096598815,0.0001997731,0.9576668,0.000115377035,0.00031296432,0.0008911698,0.0010819477,0.0006120191,0.0016060113,0.010384261,0.0014372927,0.02472637],"study_design_scores_gemma":[0.00008171683,0.00022896468,0.9823469,0.000068054505,0.00018294042,0.00055118086,0.0020502673,0.0025180066,0.0012464161,0.0073285885,0.0033531948,0.000043740205],"about_ca_topic_score_codex":0.005350699,"about_ca_topic_score_gemma":0.0027033582,"teacher_disagreement_score":0.005350699,"about_ca_system_score_codex":0.00040038087,"about_ca_system_score_gemma":0.00048253685,"threshold_uncertainty_score":0.014234662},"labels":[],"label_agreement":null},{"id":"W4400121410","doi":"10.1080/15427560.2024.2368151","title":"Are analysts’ Forecasts Reliable? A Machine Learning-Based Analysis of the Target Price Accuracy","year":2024,"lang":"en","type":"article","venue":"Journal of Behavioral Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence; Econometrics; Economics","score_opus":0.04068257500388387,"score_gpt":0.2657512990148833,"score_spread":0.22506872401099945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400121410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9596708,0.0015366522,0.029137783,0.002353551,0.0001216126,0.00002113838,0.0019997437,0.00026863086,0.0048900717],"genre_scores_gemma":[0.9973212,0.00014735767,0.0014335122,0.00007813622,0.00010537225,0.0000036797437,0.000757245,0.000014078644,0.00013942659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954686,0.0013699308,0.00038056698,0.0008143546,0.0016616579,0.0003048708],"domain_scores_gemma":[0.8902324,0.07921128,0.013516503,0.006704546,0.009461112,0.00087412575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0114687,0.0006360806,0.0008153162,0.0024703,0.0003470676,0.001983164,0.0007813665,0.0011378326,0.0007550608],"category_scores_gemma":[0.08485345,0.0002895109,0.0005160769,0.0019987149,0.00056317943,0.0043363413,0.00088528387,0.0017122787,0.0004905788],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007791359,0.0001508897,0.7295375,0.00011008313,0.00070914143,0.00021164428,0.0003422566,0.17783041,0.0017779932,0.0030146013,0.0053297845,0.08020661],"study_design_scores_gemma":[0.0000403153,0.00024177785,0.3036457,0.00006267763,0.00014490321,0.0001922675,0.00022405537,0.6825749,0.0026683758,0.008618911,0.0015104086,0.00007565624],"about_ca_topic_score_codex":0.004772209,"about_ca_topic_score_gemma":0.0034255353,"teacher_disagreement_score":0.0114687,"about_ca_system_score_codex":0.000641061,"about_ca_system_score_gemma":0.0006032863,"threshold_uncertainty_score":0.06065297},"labels":[],"label_agreement":null},{"id":"W4400126524","doi":"10.31235/osf.io/jd3c2","title":"The Missing Dimension of Risk: Evidence from Inside Debt Maturity and Acquisition Choices*","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Dimension (graph theory); Maturity (psychological); Debt; Economics; Econometrics; Financial economics; Mathematics; Psychology; Finance; Developmental psychology","score_opus":0.03375398916196481,"score_gpt":0.2422362278363328,"score_spread":0.208482238674368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400126524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99678,0.00020948338,0.0006354456,0.0001744262,0.0000031722243,0.0000036415997,0.00017868797,0.0000038098256,0.0020111986],"genre_scores_gemma":[0.99864954,0.00013557312,0.00025121108,0.00004030454,0.0000069973767,0.0000031725358,0.00019984199,0.0000027958254,0.00071061606],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927753,0.00037345558,0.00006451819,0.000104254024,0.00010222986,0.000078044686],"domain_scores_gemma":[0.9465313,0.035474885,0.011883323,0.0038863306,0.00073203526,0.0014920912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028068318,0.00017986415,0.00042394275,0.00046494638,0.00034172463,0.0010594649,0.00040854618,0.0005738258,0.0068327477],"category_scores_gemma":[0.018750882,0.00020121798,0.00024092593,0.00070773304,0.00084396865,0.0012651496,0.0009675974,0.00090346014,0.0006491344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017026636,0.000724348,0.958553,0.00007021876,0.00014138257,0.0002791364,0.0012468435,0.0009426291,0.0013621951,0.008088373,0.00065113,0.026238011],"study_design_scores_gemma":[0.00003997314,0.00039395643,0.9799921,0.00004022573,0.00009611966,0.0003009516,0.0014574873,0.0026945835,0.0012949619,0.0115952175,0.0020683045,0.000026135694],"about_ca_topic_score_codex":0.0013427935,"about_ca_topic_score_gemma":0.0013757423,"teacher_disagreement_score":0.0068327477,"about_ca_system_score_codex":0.00014636567,"about_ca_system_score_gemma":0.00018987902,"threshold_uncertainty_score":0.022857845},"labels":[],"label_agreement":null},{"id":"W4400274640","doi":"10.2139/ssrn.4884029","title":"Integrating Minds: An Ensemble Approach to Portfolio Optimization","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Portfolio; Computer science; Portfolio optimization; Artificial intelligence; Business; Finance","score_opus":0.02402434529205979,"score_gpt":0.23226120705272266,"score_spread":0.20823686176066286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400274640","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016450554,0.00049459067,0.9809652,0.00021296823,0.00007606293,0.000019114676,0.00008666287,0.0003208155,0.0013741099],"genre_scores_gemma":[0.51370007,0.0010068035,0.4808562,0.0002506903,0.00032464822,0.0001717434,0.00039922402,0.00020161174,0.003088962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994437,0.00022728114,0.000038040453,0.00009976646,0.00013695941,0.000054258227],"domain_scores_gemma":[0.9982653,0.0010731389,0.00011529806,0.0001991657,0.00024194896,0.000105165665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014965428,0.00071227935,0.0013389871,0.00091630494,0.0004565195,0.001825605,0.0013306703,0.0011899066,0.002351523],"category_scores_gemma":[0.0054508904,0.0005578551,0.001033435,0.0014117535,0.00041671572,0.0023637277,0.0020535053,0.0017519054,0.00047639624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117554766,0.00011634877,0.0022310168,0.00009443585,0.00038875203,0.000068494846,0.0001290204,0.6871672,0.0017234874,0.035435084,0.0024609573,0.27006757],"study_design_scores_gemma":[0.000004036135,0.0000115081575,0.00014496745,0.0000047187423,0.000014923158,0.0000053321255,0.0000049142036,0.97955745,0.00012474194,0.019820761,0.00030250684,0.000004059656],"about_ca_topic_score_codex":0.0032089222,"about_ca_topic_score_gemma":0.003872187,"teacher_disagreement_score":0.0032089222,"about_ca_system_score_codex":0.0003796228,"about_ca_system_score_gemma":0.0006447586,"threshold_uncertainty_score":0.007914543},"labels":[],"label_agreement":null},{"id":"W4400297986","doi":"10.1007/s11142-024-09841-9","title":"The changing nature of financial analysis in the presence of ETFs","year":2024,"lang":"en","type":"article","venue":"Review of Accounting Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Public finance; Corporate finance; Business; Economics; Finance; Financial system; Macroeconomics","score_opus":0.026024987403057663,"score_gpt":0.2868314603219443,"score_spread":0.26080647291888664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400297986","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06716328,0.65309304,0.06991344,0.15836962,0.004599809,0.000043178577,0.00040671896,0.00019399026,0.046216927],"genre_scores_gemma":[0.4850896,0.4443294,0.03581288,0.010746387,0.018794034,0.00005022077,0.00026984123,0.00012236109,0.004785254],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9917031,0.0033097568,0.00065912574,0.0008206978,0.003147977,0.00035940195],"domain_scores_gemma":[0.90766007,0.0681846,0.0066930796,0.0038743922,0.01207032,0.0015175205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01617403,0.00044282255,0.0010987975,0.0052324515,0.00073380076,0.0114651,0.001821769,0.003396703,0.0025517],"category_scores_gemma":[0.054857455,0.00046629144,0.00061588146,0.0063036,0.006245072,0.014331541,0.002311876,0.0042675314,0.00057585933],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007634597,0.00010809655,0.012388752,0.0015811521,0.00016167958,0.0005105455,0.0011382763,0.004320517,0.0012928133,0.39843538,0.0153168375,0.56466967],"study_design_scores_gemma":[0.000022623422,0.00009065798,0.03625355,0.00349595,0.00011066032,0.0017860566,0.0030086634,0.014215865,0.001032064,0.5961031,0.34372008,0.00016071773],"about_ca_topic_score_codex":0.0025873922,"about_ca_topic_score_gemma":0.002967182,"teacher_disagreement_score":0.01617403,"about_ca_system_score_codex":0.0023327854,"about_ca_system_score_gemma":0.0029794688,"threshold_uncertainty_score":0.08553749},"labels":[],"label_agreement":null},{"id":"W4400348935","doi":"10.1016/j.najef.2024.102221","title":"Does uncertainty affect the limits of arbitrage? Evidence from the U.S. stock markets","year":2024,"lang":"en","type":"article","venue":"The North American Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Arbitrage; Affect (linguistics); Stock (firearms); Financial economics; Economics; Monetary economics; Business; Econometrics; Geography; Psychology","score_opus":0.02846397859560801,"score_gpt":0.22659393656036156,"score_spread":0.19812995796475355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400348935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9553074,0.00947676,0.00087389594,0.011927194,0.00007591456,0.00001324113,0.0005619479,0.000015795998,0.021747887],"genre_scores_gemma":[0.9979054,0.0014513476,0.00005641483,0.00021121663,0.000052693787,0.0000018581285,0.00010176317,0.000002632459,0.00021663954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864775,0.0004924982,0.00014668463,0.00014903295,0.0004046822,0.00015942262],"domain_scores_gemma":[0.9215498,0.052312575,0.01816634,0.0026397137,0.0037526248,0.0015789524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049282364,0.00027156027,0.00053315057,0.0011876741,0.0006697611,0.0028265198,0.0007648957,0.0016150369,0.0064951763],"category_scores_gemma":[0.048404846,0.00034149567,0.00048538827,0.0012460812,0.0020120381,0.0037581495,0.001270893,0.0017810684,0.0006362291],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0065835547,0.0007061819,0.78036475,0.0005718907,0.0010649228,0.0015825293,0.0033657013,0.008923679,0.0021474115,0.06918736,0.011577871,0.11392418],"study_design_scores_gemma":[0.0005647765,0.0006426075,0.85191417,0.00050498237,0.0006586821,0.00056579616,0.003918541,0.010661861,0.0017954903,0.10896732,0.019663574,0.00014211252],"about_ca_topic_score_codex":0.008908816,"about_ca_topic_score_gemma":0.0077045043,"teacher_disagreement_score":0.008908816,"about_ca_system_score_codex":0.0005397273,"about_ca_system_score_gemma":0.0005544392,"threshold_uncertainty_score":0.026063263},"labels":[],"label_agreement":null},{"id":"W4400430950","doi":"10.1142/9789811287152_0112","title":"Beyond Financial Literacy and Financial Mathematics: Conceptualizing Financial Numeracy","year":2024,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Numeracy; Financial literacy; Finance; Business; Literacy; Psychology; Pedagogy","score_opus":0.019538066319088755,"score_gpt":0.23585844766202224,"score_spread":0.2163203813429335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400430950","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30025524,0.023498842,0.15294553,0.05436254,0.00041841585,0.000117191885,0.00031905738,0.00010866536,0.46797457],"genre_scores_gemma":[0.9829177,0.002858558,0.009798067,0.0009615563,0.00015348995,0.00005241377,0.00005813267,0.00002345587,0.0031765767],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99907565,0.0005577074,0.000047523536,0.00009549651,0.00011536612,0.000108240514],"domain_scores_gemma":[0.9936964,0.0041483133,0.0007218677,0.00025221476,0.00062495505,0.00055622915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019770232,0.00041431925,0.00033263027,0.0031072737,0.0010415834,0.006719548,0.000878676,0.0013653187,0.0047922367],"category_scores_gemma":[0.009803131,0.00021721446,0.00029789284,0.0022267227,0.013742037,0.0097098425,0.0026114462,0.0027410684,0.00045806635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018828649,0.000035445006,0.0047457065,0.0000826245,0.0000070047477,0.00010912802,0.007334108,0.00054231065,0.00014122525,0.97510934,0.00060354307,0.011270659],"study_design_scores_gemma":[0.000008531442,0.00002147838,0.0041033593,0.00022276217,0.000009391149,0.00016507221,0.0045079174,0.001156123,0.00010904844,0.9790173,0.010661493,0.00001756835],"about_ca_topic_score_codex":0.004764848,"about_ca_topic_score_gemma":0.0030660639,"teacher_disagreement_score":0.006719548,"about_ca_system_score_codex":0.0015232335,"about_ca_system_score_gemma":0.002444411,"threshold_uncertainty_score":0.016031623},"labels":[],"label_agreement":null},{"id":"W4400528479","doi":"10.2139/ssrn.4859312","title":"Implied Asset Volatility and Stock Misvaluation: A Mertonian Perspective","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Stock (firearms); Volatility (finance); Financial economics; Perspective (graphical); Economics; Computer science; Artificial intelligence; History","score_opus":0.029717384639112613,"score_gpt":0.26238612280400775,"score_spread":0.23266873816489514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400528479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6381298,0.0121559715,0.2776363,0.018470407,0.00055052416,0.000037915892,0.0004546942,0.00022377366,0.052340664],"genre_scores_gemma":[0.9879239,0.0023351328,0.003705983,0.0001878012,0.0004935322,0.000010011884,0.00006524423,0.00003668991,0.0052417247],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993856,0.00021239511,0.000044836117,0.00013119407,0.00016095465,0.00006500712],"domain_scores_gemma":[0.9924435,0.004757535,0.0012885184,0.0005330781,0.0006729523,0.00030448686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003025675,0.00063517434,0.00089361204,0.0011742074,0.0003130259,0.0038047056,0.0014912658,0.0028555142,0.00472825],"category_scores_gemma":[0.019821405,0.00048469656,0.0006997268,0.0011436958,0.0016857489,0.007294617,0.0012228971,0.0026535126,0.00032435608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010407742,0.000051876155,0.006952225,0.00009329048,0.00009427807,0.00049568963,0.0002037974,0.06768148,0.0011156728,0.90221536,0.0015694397,0.01942289],"study_design_scores_gemma":[0.000018142615,0.000036231824,0.003940787,0.00003552904,0.000029398536,0.00018433935,0.00006448994,0.22443397,0.00026175033,0.7699073,0.0010520011,0.00003612638],"about_ca_topic_score_codex":0.0008445225,"about_ca_topic_score_gemma":0.0006582381,"teacher_disagreement_score":0.00472825,"about_ca_system_score_codex":0.0008895403,"about_ca_system_score_gemma":0.0005541127,"threshold_uncertainty_score":0.016001523},"labels":[],"label_agreement":null},{"id":"W4400582924","doi":"10.2139/ssrn.4889895","title":"Disagreement and the Macro Announcement Day Returns *","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Macro; Economics; Econometrics; Financial economics; Business; Monetary economics; Computer science","score_opus":0.015164997505095479,"score_gpt":0.21469736757679161,"score_spread":0.19953237007169614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400582924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768546,0.0011433729,0.0020510694,0.0048828917,0.00014886816,0.00001261313,0.0010778257,0.0000742279,0.013754655],"genre_scores_gemma":[0.9977241,0.00016103483,0.00005738502,0.000086720625,0.00017460674,0.000004134153,0.00030577232,0.00001615334,0.0014701237],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990897,0.00032522276,0.000075272095,0.0001342116,0.00015861342,0.00021699288],"domain_scores_gemma":[0.9378371,0.042058825,0.012996807,0.0017192808,0.0021138522,0.0032740047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003867261,0.00023221408,0.0005655201,0.0010169859,0.0006111055,0.003716728,0.0005417415,0.0017639231,0.009203107],"category_scores_gemma":[0.055033427,0.00024284447,0.00028584912,0.0011700803,0.0007694058,0.002161349,0.0010517972,0.0030645777,0.0016806609],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006987171,0.00080052787,0.8500955,0.00023597371,0.00032526036,0.00094332243,0.0016898051,0.014409681,0.0028746633,0.04980197,0.022104196,0.049731832],"study_design_scores_gemma":[0.00020980825,0.00050097646,0.87898093,0.00007088261,0.00016677196,0.00050572085,0.0024192776,0.04027282,0.0015701845,0.0684385,0.0067621996,0.00010193749],"about_ca_topic_score_codex":0.0021562662,"about_ca_topic_score_gemma":0.0012833623,"teacher_disagreement_score":0.009203107,"about_ca_system_score_codex":0.0007429173,"about_ca_system_score_gemma":0.00037440687,"threshold_uncertainty_score":0.030787468},"labels":[],"label_agreement":null},{"id":"W4400728350","doi":"10.2139/ssrn.4894394","title":"Dual Dominance: How Harry Markowitz and William Ziemba Impacted Portfolio Management","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Project portfolio management; Dominance (genetics); Dual (grammatical number); Portfolio; Economics; Management; Financial economics; Art; Biology; Literature; Project management","score_opus":0.012479877718866593,"score_gpt":0.21191103320318297,"score_spread":0.19943115548431636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400728350","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12431409,0.028209994,0.18543957,0.33365658,0.006119566,0.00008607129,0.00028252768,0.0005235041,0.32136813],"genre_scores_gemma":[0.8668257,0.008891556,0.036324024,0.015534386,0.0014767955,0.000066674234,0.000071683986,0.00067841174,0.07013074],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99636346,0.0017763197,0.00012163549,0.00043403677,0.00093077816,0.00037386222],"domain_scores_gemma":[0.9930722,0.0038422116,0.00035159546,0.00057231996,0.001155535,0.0010061458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007233021,0.0005620053,0.00065587077,0.0019130863,0.0031909433,0.010553307,0.00081920583,0.0026208402,0.007612563],"category_scores_gemma":[0.025597485,0.0005455121,0.00043030042,0.0016073893,0.006188123,0.0102456035,0.005256056,0.00565927,0.0013084181],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085383545,0.00007594329,0.0028067082,0.0000661966,0.00003989949,0.00017805661,0.003431203,0.0024402703,0.0007781785,0.8455008,0.035979755,0.10861757],"study_design_scores_gemma":[0.000027330745,0.000043349286,0.0012331662,0.00014573819,0.000027513335,0.00016892517,0.0017823135,0.0056557087,0.0012371853,0.82280946,0.16679358,0.00007579641],"about_ca_topic_score_codex":0.008490026,"about_ca_topic_score_gemma":0.008046917,"teacher_disagreement_score":0.010553307,"about_ca_system_score_codex":0.0038454668,"about_ca_system_score_gemma":0.0034088953,"threshold_uncertainty_score":0.038252354},"labels":[],"label_agreement":null},{"id":"W4400744607","doi":"10.1080/23322039.2024.2373266","title":"Does an overconfidence bias affect stock return, trading volume, and liquidity? Fresh insights from the G7 nations","year":2024,"lang":"en","type":"article","venue":"Cogent Economics & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overconfidence effect; Market liquidity; Affect (linguistics); Stock (firearms); Economics; Stock trading; Monetary economics; Financial economics; Econometrics; Business; Stock market; Psychology; Geography","score_opus":0.044012180758270826,"score_gpt":0.2308571692753426,"score_spread":0.1868449885170718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400744607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99420726,0.0005982203,0.0004019698,0.00076531124,0.000016641254,0.000004975669,0.00026114695,0.0000063107086,0.0037381654],"genre_scores_gemma":[0.99910164,0.00019039374,0.0001069236,0.00007932396,0.000026719075,0.0000014283446,0.00023818293,0.0000040783493,0.00025126894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964297,0.000102237114,0.000027175218,0.00006141224,0.00008093069,0.00008523823],"domain_scores_gemma":[0.99524647,0.0019474031,0.0015880059,0.00046067056,0.00045964937,0.00029781586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013858685,0.00019369848,0.00027982335,0.00093258894,0.00032859773,0.0012824532,0.00026519666,0.00041192092,0.0020442905],"category_scores_gemma":[0.0068008546,0.000084860556,0.00033943832,0.00079620397,0.0006307007,0.0008211581,0.00081722694,0.0007536817,0.00025784658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115167175,0.000041454332,0.9776789,0.000023918568,0.00010520849,0.00034754234,0.00079272105,0.00053815526,0.0005962631,0.002502182,0.00087723345,0.016381213],"study_design_scores_gemma":[0.0000041916073,0.000060147366,0.9925236,0.00003559164,0.000045508423,0.00012006682,0.0010003389,0.0022294198,0.00030415185,0.0015837172,0.0020792412,0.000013968866],"about_ca_topic_score_codex":0.015078257,"about_ca_topic_score_gemma":0.01323407,"teacher_disagreement_score":0.015078257,"about_ca_system_score_codex":0.0004241398,"about_ca_system_score_gemma":0.00029819374,"threshold_uncertainty_score":0.029980958},"labels":[],"label_agreement":null},{"id":"W4400809105","doi":"10.1108/cfri-09-2023-0241","title":"Unraveling the relationship between sustainability and returns: a multi-attribute utility analysis","year":2024,"lang":"en","type":"article","venue":"China Finance Review International","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Sustainability; Economics; Econometrics; Microeconomics; Mathematical economics; Ecology","score_opus":0.07620653696192765,"score_gpt":0.3136387154662241,"score_spread":0.2374321785042965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400809105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27824682,0.0015044141,0.71316236,0.0014998394,0.000034861518,0.00011539612,0.00022469074,0.00006927872,0.005142369],"genre_scores_gemma":[0.9729244,0.0004846178,0.025180742,0.000048061196,0.000025406738,0.00003823253,0.000059265305,0.000009727066,0.0012295303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984322,0.0010226246,0.000051072107,0.0001996448,0.0001753309,0.00011911595],"domain_scores_gemma":[0.99475527,0.003941872,0.00055391627,0.0002714481,0.00033981516,0.00013760268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004008627,0.0006994228,0.0009742438,0.0015582525,0.00030497595,0.002256945,0.00074560463,0.0007371616,0.0020525204],"category_scores_gemma":[0.011657224,0.00037818606,0.0009527857,0.0014443231,0.0011239332,0.0025574896,0.001068002,0.0012371795,0.00013127805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012473032,0.00027322222,0.055876717,0.00021943054,0.0003940853,0.00047012948,0.0003249301,0.6469111,0.0011769108,0.21487723,0.0013195052,0.078032106],"study_design_scores_gemma":[0.000005756431,0.00006388622,0.004954604,0.000035032273,0.000050471255,0.000068954454,0.00011762134,0.93951917,0.00017733534,0.054376658,0.00061111245,0.000019280205],"about_ca_topic_score_codex":0.0046686023,"about_ca_topic_score_gemma":0.002434544,"teacher_disagreement_score":0.0046686023,"about_ca_system_score_codex":0.0015699763,"about_ca_system_score_gemma":0.0011123403,"threshold_uncertainty_score":0.021199882},"labels":[],"label_agreement":null},{"id":"W4400858879","doi":"10.1016/j.irfa.2024.103479","title":"Twitter and cryptocurrency pump-and-dumps","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Group for Research in Decision Analysis; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cryptocurrency; Promotion (chess); Event (particle physics); Event study; Business; Social media; Advertising; Monetary economics; Computer science; Economics; Computer security; World Wide Web; Geography; Political science; Physics","score_opus":0.025553287952565056,"score_gpt":0.26769653348812095,"score_spread":0.24214324553555588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400858879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830551,0.0012976918,0.0016301472,0.0013017525,0.000106869695,0.00002871924,0.0017222352,0.000069088164,0.010788358],"genre_scores_gemma":[0.99718696,0.00046332733,0.00038950436,0.00009354936,0.00009202684,0.000011409248,0.0004993398,0.000011267081,0.0012527113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968004,0.00009133927,0.000019932027,0.000053798925,0.000093618735,0.00006120848],"domain_scores_gemma":[0.9944378,0.0024460154,0.0022176462,0.00018604781,0.00040961543,0.00030289017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045065975,0.0002714508,0.0002107289,0.00095897814,0.0002908685,0.0013377743,0.00018372657,0.00050332287,0.0031472791],"category_scores_gemma":[0.005900954,0.00011869353,0.00015193925,0.0013358893,0.0002613273,0.0015189578,0.000557521,0.000585399,0.0011009381],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006798156,0.00026231905,0.88753134,0.00040300182,0.00020756866,0.0008861412,0.001960954,0.0026181447,0.0057123434,0.005801787,0.009356946,0.084579736],"study_design_scores_gemma":[0.000027968257,0.00033944717,0.9323225,0.00018574149,0.00016215174,0.00066407246,0.004998164,0.0270457,0.003304955,0.003774046,0.02710264,0.00007268277],"about_ca_topic_score_codex":0.002346308,"about_ca_topic_score_gemma":0.0036385371,"teacher_disagreement_score":0.0031472791,"about_ca_system_score_codex":0.0003239611,"about_ca_system_score_gemma":0.00019131324,"threshold_uncertainty_score":0.010528684},"labels":[],"label_agreement":null},{"id":"W4400870537","doi":"10.1093/rof/rfae020","title":"Do private firms (mis)learn from the stock market?","year":2024,"lang":"en","type":"article","venue":"European Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Hong Kong University of Science and Technology; Queen's University; University of New South Wales; Asian Finance Association; Canadian Intensive Care Foundation; Syddansk Universitet; City University of Hong Kong","keywords":"Business; Spillover effect; Stock (firearms); Private information retrieval; Stock market; Valuation (finance); Monetary economics; Panel data; Finance; Economics; Microeconomics; Econometrics","score_opus":0.0427378284941009,"score_gpt":0.23514511515430847,"score_spread":0.19240728666020757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400870537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817255,0.0017012063,0.0028686936,0.0054774573,0.000030678246,0.000017188646,0.0005863053,0.000028001698,0.007564938],"genre_scores_gemma":[0.9982193,0.0005216152,0.00010069217,0.00018598781,0.000054920616,0.000002188095,0.00010234146,0.0000020419343,0.0008108795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992719,0.00017462978,0.00004522803,0.00017030166,0.00015866762,0.00017923945],"domain_scores_gemma":[0.97527915,0.011876759,0.009267681,0.0016670376,0.001004303,0.000905101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023337244,0.00016587359,0.00076988334,0.0007780649,0.00019734264,0.0018734391,0.00038799806,0.0013634344,0.005120575],"category_scores_gemma":[0.018723037,0.00028774512,0.00028553317,0.00076145894,0.0008701153,0.0031931538,0.00063533656,0.0011085349,0.0006758577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006919564,0.0004737513,0.8224443,0.00034280831,0.00044787533,0.0005886705,0.0011841687,0.011500295,0.0025672207,0.03528557,0.0052895024,0.11918393],"study_design_scores_gemma":[0.00012920689,0.0003037305,0.8771984,0.00011281701,0.00024883132,0.00045747665,0.001977471,0.029794581,0.0024704423,0.078567125,0.008664091,0.00007584629],"about_ca_topic_score_codex":0.0035224776,"about_ca_topic_score_gemma":0.0038801432,"teacher_disagreement_score":0.005120575,"about_ca_system_score_codex":0.000700374,"about_ca_system_score_gemma":0.00032275083,"threshold_uncertainty_score":0.017130017},"labels":[],"label_agreement":null},{"id":"W4400903350","doi":"10.3390/jrfm17080313","title":"Does Managerial Overconfidence Change with Market Conditions? Risk Management for Financial Institutions","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Overconfidence effect; Economics; Loan; Corporate finance; Corporate governance; Empirical evidence; Monetary economics; Business; Finance; Psychology; Social psychology","score_opus":0.02217649041026287,"score_gpt":0.23018144077687588,"score_spread":0.208004950366613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400903350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948832,0.00037277082,0.00046742093,0.0008883589,0.00001764305,0.000014309649,0.00004850305,0.00000800448,0.0032998307],"genre_scores_gemma":[0.9996346,0.00006790675,0.00006673133,0.0000500797,0.000019657218,0.000003091065,0.000018095854,0.0000016084282,0.0001381643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985417,0.0005036737,0.00012194316,0.00028060662,0.00030181452,0.00025021468],"domain_scores_gemma":[0.96685857,0.011050324,0.01585234,0.0019853057,0.001239069,0.0030144774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039152307,0.00019622437,0.00038703365,0.0010219817,0.00048476682,0.0024398654,0.00048912363,0.0009958954,0.0044912472],"category_scores_gemma":[0.03790319,0.00018749648,0.00044573162,0.00061100797,0.0008630896,0.0019510151,0.00069873664,0.0010667675,0.00035704908],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043569523,0.00058803515,0.9492499,0.000056313318,0.00013453297,0.00028378196,0.0018886965,0.00084365444,0.0011177458,0.0017099031,0.000547043,0.043144576],"study_design_scores_gemma":[0.000012551621,0.00018194693,0.99481887,0.000018588646,0.00002168163,0.00009783172,0.0008383347,0.0012561962,0.00020756731,0.0021718615,0.00035783515,0.000016834281],"about_ca_topic_score_codex":0.0017966297,"about_ca_topic_score_gemma":0.0014252288,"teacher_disagreement_score":0.0044912472,"about_ca_system_score_codex":0.00060218765,"about_ca_system_score_gemma":0.00046390804,"threshold_uncertainty_score":0.020705998},"labels":[],"label_agreement":null},{"id":"W4400907796","doi":"10.3390/jrfm17080312","title":"Potential Predictors of Psychologically Based Stock Price Movements","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock price; Stock (firearms); Psychology; Economics; Cognitive psychology; Econometrics; Geography; Biology; Series (stratigraphy)","score_opus":0.012269031208728994,"score_gpt":0.20879981838367281,"score_spread":0.19653078717494382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400907796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967476,0.00033607756,0.00034073662,0.00034245278,0.000010682678,0.000014134916,0.0002757667,0.000007733442,0.0019248454],"genre_scores_gemma":[0.9988319,0.00022886173,0.00028761703,0.00004344828,0.000017250242,0.00001062855,0.00029265275,0.0000027678593,0.0002849689],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965155,0.00011223358,0.000045998586,0.000048266367,0.000080423044,0.000061464976],"domain_scores_gemma":[0.99128014,0.004029857,0.0033667407,0.00035507852,0.00040938743,0.0005588034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010566481,0.00025846166,0.00021161966,0.00092753035,0.0002358831,0.0009812107,0.00034658652,0.00066954637,0.004350318],"category_scores_gemma":[0.01223913,0.00016920493,0.00032692475,0.0010503894,0.0004954398,0.0007072284,0.00046269072,0.0010401951,0.00040769475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007351145,0.00010356103,0.9925472,0.00001998516,0.000055597306,0.000051657087,0.00017504473,0.00024937477,0.000278069,0.0002122907,0.000117632044,0.0061162002],"study_design_scores_gemma":[0.0000015922303,0.000042029555,0.9987834,0.000006102933,0.000009614116,0.0000333539,0.00012590138,0.00058230903,0.00007090408,0.00022658556,0.00011474128,0.0000034705945],"about_ca_topic_score_codex":0.0031279782,"about_ca_topic_score_gemma":0.0048953886,"teacher_disagreement_score":0.004350318,"about_ca_system_score_codex":0.00029986925,"about_ca_system_score_gemma":0.0002442051,"threshold_uncertainty_score":0.014553189},"labels":[],"label_agreement":null},{"id":"W4400948231","doi":"10.2139/ssrn.4904471","title":"Distributional Asymmetric and Nonlinear Interconnectedness between Crypto-Assets and the Us Equity Market: A Contrary Point of View","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Equity (law); Economics; Financial economics; Point (geometry); Nonlinear system; Neoclassical economics; Mathematics; Political science; Physics; Law; Geometry","score_opus":0.017799351353740327,"score_gpt":0.24437293291505865,"score_spread":0.22657358156131832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400948231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9261748,0.0010735103,0.03843272,0.010894771,0.00006643463,0.000021590786,0.00056380004,0.00007071876,0.02270151],"genre_scores_gemma":[0.9971635,0.00037966427,0.00076559465,0.00014192484,0.0001306644,0.0000050510866,0.00008826444,0.000010497201,0.0013147783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960524,0.00009918875,0.000026909702,0.00012511101,0.000085211286,0.000058383564],"domain_scores_gemma":[0.991085,0.0043364563,0.0023549017,0.0010978483,0.0006917736,0.00043408567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012559473,0.00025855406,0.00071099144,0.0013131453,0.0005622542,0.0030684026,0.0008484833,0.0014383825,0.008920459],"category_scores_gemma":[0.012160876,0.0002255447,0.0005168247,0.0012343298,0.0024416903,0.0071783396,0.0015716365,0.0016306263,0.00053044024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031823057,0.00008541974,0.051855758,0.00015146262,0.00014749498,0.0008744476,0.00048788023,0.01453755,0.0026953986,0.9020353,0.0020653096,0.024745822],"study_design_scores_gemma":[0.000036998175,0.000063121995,0.024982324,0.000036141046,0.00006152133,0.00040017563,0.0005006713,0.03306311,0.0007267803,0.93868184,0.0014193669,0.000027983624],"about_ca_topic_score_codex":0.0015314346,"about_ca_topic_score_gemma":0.0009716469,"teacher_disagreement_score":0.008920459,"about_ca_system_score_codex":0.0006337355,"about_ca_system_score_gemma":0.00044527507,"threshold_uncertainty_score":0.0298419},"labels":[],"label_agreement":null},{"id":"W4400949574","doi":"10.3390/jrfm17080316","title":"Does Investors’ Online Public Opinion Divergence Increase the Trading Volume? Evidence from the CSI 300 Index Constituents","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Divergence (linguistics); Public opinion; Volume (thermodynamics); Business; Quality (philosophy); Index (typography); Stock trading; Financial economics; Stock market; Actuarial science; Econometrics; Economics; Political science; Computer science; Law; Geography","score_opus":0.03570046919122011,"score_gpt":0.23019223924257223,"score_spread":0.19449177005135213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400949574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355364,0.00021021975,0.00020500798,0.00033690262,0.00001733754,0.000012432566,0.00033832045,0.0000071963027,0.0053190445],"genre_scores_gemma":[0.99880946,0.00012372325,0.00008568146,0.000087233,0.000042561674,0.000008108944,0.00030210076,0.0000033768692,0.0005378125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899155,0.00032949852,0.000079387566,0.00013798695,0.0003351732,0.0001264363],"domain_scores_gemma":[0.9845724,0.0064198254,0.0052618147,0.0007774852,0.0017787244,0.0011897287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015598298,0.0002400427,0.00031287165,0.0008629292,0.00049801246,0.0016370027,0.0002924418,0.0005115906,0.003790964],"category_scores_gemma":[0.014666797,0.00011887001,0.00032076004,0.00085564784,0.0003939162,0.0018455987,0.00079841074,0.0007950012,0.00065923756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005882055,0.00035473818,0.9588201,0.00013919118,0.00016683505,0.0003537632,0.003796757,0.00022385883,0.0018409947,0.0009463872,0.0017554695,0.031013763],"study_design_scores_gemma":[0.00002218077,0.00018754878,0.9906889,0.000033644563,0.00010971573,0.00012636637,0.0025139416,0.001884905,0.0009533564,0.00069164054,0.002759048,0.00002872075],"about_ca_topic_score_codex":0.0032837011,"about_ca_topic_score_gemma":0.003058529,"teacher_disagreement_score":0.003790964,"about_ca_system_score_codex":0.0003530939,"about_ca_system_score_gemma":0.00027300025,"threshold_uncertainty_score":0.01268208},"labels":[],"label_agreement":null},{"id":"W4400967058","doi":"10.2139/ssrn.4903669","title":"Optimism, Net Worth Trap, and Asset Returns","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Optimism; Trap (plumbing); Net worth; Economics; Asset (computer security); Financial economics; Business; Monetary economics; Finance; Environmental science; Psychology; Computer science; Social psychology; Computer security","score_opus":0.019171339098918237,"score_gpt":0.22057348020029877,"score_spread":0.20140214110138052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400967058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909395,0.0010233028,0.0022802104,0.0011431951,0.000016095788,0.0000049474293,0.0001274373,0.000013772342,0.0044515664],"genre_scores_gemma":[0.9991301,0.00017779035,0.00012897188,0.000022433636,0.000020933954,0.0000014979116,0.000030014657,0.0000022263525,0.00048604645],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998436,0.000056077253,0.000010011978,0.000033652046,0.000021939004,0.0000347075],"domain_scores_gemma":[0.9899942,0.00530076,0.0034658643,0.00024773454,0.00018143357,0.0008099657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013292631,0.00020633706,0.0003138315,0.00047490318,0.00018404148,0.001891971,0.0002615589,0.0009574129,0.0040478315],"category_scores_gemma":[0.012261552,0.00019905211,0.0001804088,0.00038655984,0.0008065342,0.0014909315,0.00050188083,0.0011141213,0.0002479018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003833736,0.00076144957,0.7615467,0.00026027023,0.0004342502,0.0018412449,0.0007078226,0.05556667,0.0031777367,0.1147562,0.004924192,0.052189764],"study_design_scores_gemma":[0.00015448996,0.0005418184,0.56811315,0.00007062148,0.0001817835,0.0010768278,0.00070045004,0.11030011,0.00046669107,0.31734195,0.0009772232,0.0000749283],"about_ca_topic_score_codex":0.00055398705,"about_ca_topic_score_gemma":0.0006113895,"teacher_disagreement_score":0.0040478315,"about_ca_system_score_codex":0.0003863449,"about_ca_system_score_gemma":0.00020395814,"threshold_uncertainty_score":0.0135414},"labels":[],"label_agreement":null},{"id":"W4400980336","doi":"10.3390/jrfm17080320","title":"Are Regulatory Short Sale Data a Profitable Predictor of UK Stock Returns?","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Portfolio; Stock (firearms); Economics; Stock market; Business; Profit (economics); Econometrics; Actuarial science; Financial economics; Engineering; Microeconomics; Geography","score_opus":0.03397672662927229,"score_gpt":0.2284542544515464,"score_spread":0.19447752782227412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400980336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9688898,0.0028948397,0.0009532903,0.00872608,0.0003228739,0.000022017592,0.00567258,0.000037420556,0.012481063],"genre_scores_gemma":[0.99446267,0.00063311186,0.0001919875,0.00036477952,0.00014406818,0.00000723661,0.0024793844,0.000012842848,0.0017038651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997165,0.00080952304,0.00054096774,0.00029265627,0.00092018547,0.00027157238],"domain_scores_gemma":[0.9249059,0.023957547,0.039245952,0.0036450333,0.006512383,0.0017331608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043092975,0.00019549474,0.0003417618,0.0015245512,0.00021238292,0.0018802689,0.00032337513,0.0008520197,0.006585297],"category_scores_gemma":[0.051308706,0.00017050252,0.0001873637,0.0023383074,0.00056535244,0.0016323118,0.00072644703,0.0011061518,0.0021364081],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003222849,0.000046524554,0.95941633,0.000100364305,0.00010051182,0.00024775177,0.00017830449,0.0005077184,0.00038346116,0.0009899345,0.010395898,0.027310986],"study_design_scores_gemma":[0.000043388452,0.0001241789,0.9815673,0.00014240602,0.00006890201,0.00036315614,0.0004884442,0.0020828096,0.00060824864,0.00085499906,0.013627665,0.000028506121],"about_ca_topic_score_codex":0.0138339475,"about_ca_topic_score_gemma":0.01863986,"teacher_disagreement_score":0.0138339475,"about_ca_system_score_codex":0.00069791905,"about_ca_system_score_gemma":0.00079703593,"threshold_uncertainty_score":0.027506828},"labels":[],"label_agreement":null},{"id":"W4400982550","doi":"10.1108/jfc-04-2024-0138","title":"Can supervisor reminders help prevent fraud in the mutual funds sector","year":2024,"lang":"en","type":"article","venue":"Journal of Financial Crime","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Mutual fund; Business; Misconduct; Supervisor; Enforcement; Unit trust; Position (finance); Accounting; Finance; Actuarial science; Economics; Management; Political science; Law","score_opus":0.04289716482217048,"score_gpt":0.2366673070035761,"score_spread":0.19377014218140562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400982550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96651214,0.0018708139,0.000629685,0.017296623,0.00023186965,0.00017066793,0.0002106013,0.00009227007,0.012985397],"genre_scores_gemma":[0.9946403,0.0007694538,0.0011365426,0.0010762174,0.00009731795,0.00005089629,0.00008795734,0.000008305208,0.0021330486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962435,0.0015003403,0.00014527777,0.00018909955,0.0009947021,0.00092716777],"domain_scores_gemma":[0.9651773,0.008351765,0.013340502,0.001305706,0.0027785785,0.0090461895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045602894,0.00019209173,0.00030130128,0.0009936999,0.002427296,0.0024544133,0.0011124818,0.0011747552,0.0065452214],"category_scores_gemma":[0.06510522,0.00023955254,0.00030194974,0.00063772674,0.0008028009,0.0013822543,0.0019186712,0.0010717309,0.00096632785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049534574,0.0022859406,0.5815767,0.0005818917,0.00011551392,0.0003581645,0.010918362,0.0006895038,0.0007051665,0.0015857021,0.03036059,0.37032717],"study_design_scores_gemma":[0.00015387632,0.0012433775,0.9269896,0.0014259055,0.0001488746,0.00043417816,0.01623097,0.0016951337,0.00088794774,0.0011572797,0.049552538,0.00008025608],"about_ca_topic_score_codex":0.07365271,"about_ca_topic_score_gemma":0.15279679,"teacher_disagreement_score":0.07365271,"about_ca_system_score_codex":0.004601995,"about_ca_system_score_gemma":0.018906897,"threshold_uncertainty_score":0.14644802},"labels":[],"label_agreement":null},{"id":"W4400989030","doi":"10.3982/qe2330","title":"Changes in the span of systematic risk exposures","year":2024,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Principal component analysis; Econometrics; Mathematics; Test statistic; Statistics; Statistic; Factor analysis; Null hypothesis; Null (SQL); Asset (computer security); Projection (relational algebra); Statistical hypothesis testing; Computer science; Algorithm; Data mining","score_opus":0.0765402005754232,"score_gpt":0.2615490754611305,"score_spread":0.18500887488570728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400989030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97868353,0.000108936954,0.019772546,0.000061643244,0.0000065589834,0.000011252362,0.0002457539,0.000051454936,0.0010583305],"genre_scores_gemma":[0.9980799,0.000021978787,0.0015475849,0.000010659796,0.000009825848,0.000008988835,0.00021228153,0.0000059069644,0.00010284715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981652,0.000515495,0.00015689402,0.0006038285,0.00038836757,0.00017016902],"domain_scores_gemma":[0.97258073,0.016806811,0.005531096,0.0031672514,0.0011142028,0.0007999154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039055229,0.0002539764,0.0004550638,0.0011519003,0.00021754752,0.00077526283,0.0004534199,0.00045309393,0.0021178427],"category_scores_gemma":[0.027556652,0.00021194578,0.0004952982,0.0008667636,0.0009835637,0.0011741018,0.0010810317,0.0006445687,0.00029568974],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009671978,0.00017842815,0.88727355,0.00007569843,0.00055973907,0.00041684433,0.0006553131,0.01609643,0.01573369,0.012472352,0.0003670608,0.06520375],"study_design_scores_gemma":[0.000022242299,0.00061812304,0.9330244,0.000020601174,0.00007718787,0.00037468184,0.0003153845,0.04246494,0.0053239847,0.016917419,0.0007904911,0.000050404356],"about_ca_topic_score_codex":0.00091895857,"about_ca_topic_score_gemma":0.00047473182,"teacher_disagreement_score":0.0039055229,"about_ca_system_score_codex":0.00030679686,"about_ca_system_score_gemma":0.00032637198,"threshold_uncertainty_score":0.020654619},"labels":[],"label_agreement":null},{"id":"W4401015195","doi":"10.3390/jrfm17080325","title":"Trading Volume Concentration across S&amp;P 500 Index Constituents—A Gini-Based Analysis and Concentration-Driven (Daily Rebalanced) Portfolio Performance Evaluation: Is Chasing Concentration Profitable?","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Index (typography); Sharpe ratio; Economics; Volatility (finance); Rate of return on a portfolio; Monetary economics; Financial economics; Econometrics; Modern portfolio theory","score_opus":0.02051998055598141,"score_gpt":0.24784277781345296,"score_spread":0.22732279725747154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401015195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954466,0.00017312137,0.0028274874,0.00008749734,0.000015353795,0.000030514695,0.00028911087,0.000029714218,0.0011005319],"genre_scores_gemma":[0.99785185,0.000055890338,0.0012543383,0.0000245118,0.000015737585,0.000018632361,0.00051731657,0.000006533716,0.00025530558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990645,0.0002871243,0.00006457867,0.00019551945,0.00031162114,0.00007668248],"domain_scores_gemma":[0.9950622,0.0024907743,0.0011942377,0.00045710165,0.000540932,0.00025475747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026150194,0.00050140126,0.0004660724,0.0012970194,0.00019458702,0.0011634717,0.0005113946,0.0005810072,0.00065326557],"category_scores_gemma":[0.011377253,0.00011542223,0.0005316411,0.0009831032,0.00061195064,0.0011526055,0.0005342417,0.0006615802,0.00018442953],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018783202,0.0011459144,0.68644416,0.00022023136,0.0010916195,0.0007515041,0.00056320487,0.19054484,0.013456351,0.009721818,0.0034000166,0.09078194],"study_design_scores_gemma":[0.000057810757,0.0017472004,0.46149406,0.00003651974,0.0001750445,0.00032848027,0.0003768653,0.5203652,0.008843752,0.0047961553,0.0016813033,0.00009771176],"about_ca_topic_score_codex":0.002071628,"about_ca_topic_score_gemma":0.001323751,"teacher_disagreement_score":0.0026150194,"about_ca_system_score_codex":0.00067705323,"about_ca_system_score_gemma":0.00034497897,"threshold_uncertainty_score":0.013829708},"labels":[],"label_agreement":null},{"id":"W4401080084","doi":"10.28924/2291-8639-22-2024-122","title":"Optimizing Portfolio Efficiency in the Digital Era: A Data Envelopment Analysis of Range-Rebalanced Asset Investments","year":2024,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Asset allocation; Portfolio; Cryptocurrency; Asset (computer security); Business; Range (aeronautics); Investment (military); Investment strategy; Economics; Computer science; Finance; Market liquidity; Mathematics; Engineering","score_opus":0.030959158104777455,"score_gpt":0.2775236942461244,"score_spread":0.24656453614134693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401080084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7318882,0.0007990555,0.26187384,0.00034127856,0.000013653265,0.000074341006,0.00026375975,0.00005009817,0.004695833],"genre_scores_gemma":[0.9828897,0.00024424292,0.016367165,0.00001478614,0.0000036149054,0.000025171148,0.00009773057,0.0000093479675,0.00034820082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934286,0.0002858498,0.00004650798,0.000078914105,0.00016148482,0.00008440329],"domain_scores_gemma":[0.9979309,0.001388013,0.00026794072,0.00018612143,0.00018547752,0.000041662868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026144849,0.000546341,0.0007506047,0.001209365,0.0002142809,0.0018687174,0.0003490439,0.0005529931,0.0005700456],"category_scores_gemma":[0.006267612,0.00021088487,0.00066144275,0.0014202278,0.00045334708,0.0015802762,0.00077750674,0.0006132819,0.00007947443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054201675,0.00003907658,0.005178957,0.000030522137,0.000052533665,0.000054442262,0.000040775914,0.97398585,0.0010045952,0.0070941728,0.00010041244,0.01236453],"study_design_scores_gemma":[0.0000035638893,0.00004472445,0.001921872,0.00000940773,0.000010274289,0.000015113018,0.00004301805,0.993584,0.00093417725,0.0031517707,0.00027374036,0.000008327255],"about_ca_topic_score_codex":0.004281411,"about_ca_topic_score_gemma":0.0017307122,"teacher_disagreement_score":0.004281411,"about_ca_system_score_codex":0.0010694293,"about_ca_system_score_gemma":0.0009360416,"threshold_uncertainty_score":0.013826847},"labels":[],"label_agreement":null},{"id":"W4401216540","doi":"10.1016/j.jfineco.2024.103913","title":"Disclosing and cooling-off: An analysis of insider trading rules","year":2024,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Insider trading; Insider; Business; Accounting; Finance; Law; Political science","score_opus":0.029749640771705693,"score_gpt":0.234290482018569,"score_spread":0.2045408412468633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401216540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87856656,0.0037917965,0.091619775,0.003634803,0.00011325287,0.00017070562,0.00064649316,0.00022262384,0.021234034],"genre_scores_gemma":[0.9886903,0.0013235569,0.004775671,0.0001614823,0.00012802657,0.000055483022,0.00021170547,0.000043204207,0.0046106535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979069,0.00069267064,0.00011308735,0.00033726345,0.00034236978,0.0006077027],"domain_scores_gemma":[0.96839654,0.018875325,0.008456296,0.0020920301,0.0010568319,0.0011228555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053687016,0.00085786224,0.0017770046,0.0013733048,0.0010876372,0.0038041256,0.002669312,0.0030634853,0.00561266],"category_scores_gemma":[0.026471207,0.0007369147,0.0024754743,0.0011058879,0.0033073402,0.0041002505,0.0019922329,0.0036739523,0.0005377592],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007380425,0.0007677418,0.0210403,0.0002981508,0.00036807757,0.0021707092,0.00081856496,0.4050943,0.006041381,0.5335921,0.0053888056,0.023681836],"study_design_scores_gemma":[0.00018268681,0.00027493463,0.008526298,0.0000876877,0.00022982496,0.00036741057,0.00031726007,0.8286429,0.0012900578,0.15745042,0.0024976055,0.00013284793],"about_ca_topic_score_codex":0.0069541307,"about_ca_topic_score_gemma":0.0027161774,"teacher_disagreement_score":0.0069541307,"about_ca_system_score_codex":0.0021455695,"about_ca_system_score_gemma":0.0015621939,"threshold_uncertainty_score":0.028392732},"labels":[],"label_agreement":null},{"id":"W4401218680","doi":"10.2139/ssrn.4908569","title":"Quantitative Tightening with Slow-Moving Capital","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Business; Computer science","score_opus":0.015040964716934661,"score_gpt":0.2153100937261987,"score_spread":0.20026912900926402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401218680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7190087,0.0026417696,0.22881013,0.005234135,0.0005892224,0.0000748663,0.0010546722,0.0011359564,0.041450553],"genre_scores_gemma":[0.9887551,0.00030754026,0.0032059087,0.00014079455,0.00012805693,0.000022946735,0.00010342396,0.000068804075,0.007267502],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999065,0.00022393072,0.00005296569,0.00030405214,0.00014631815,0.00020771187],"domain_scores_gemma":[0.9868564,0.0065301224,0.0034748057,0.0013898327,0.00077519903,0.0009736689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034260286,0.0007495361,0.0011312546,0.0015440579,0.0005756895,0.0032648584,0.0014845923,0.0018492717,0.013090052],"category_scores_gemma":[0.026991827,0.00082738156,0.0006681593,0.0010998254,0.0028938116,0.00705443,0.0017523017,0.0024321873,0.0004282895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016959115,0.000088304,0.005766822,0.0003668792,0.0001340566,0.00037563356,0.0003241138,0.10913906,0.0020452177,0.85703826,0.0059223054,0.018629812],"study_design_scores_gemma":[0.000041570685,0.00012842167,0.007550184,0.000046491074,0.000054359014,0.00014740085,0.00024957498,0.19280903,0.0011424528,0.79454195,0.0032386417,0.000049852864],"about_ca_topic_score_codex":0.0027893626,"about_ca_topic_score_gemma":0.0016117018,"teacher_disagreement_score":0.013090052,"about_ca_system_score_codex":0.001352143,"about_ca_system_score_gemma":0.00091008865,"threshold_uncertainty_score":0.04379058},"labels":[],"label_agreement":null},{"id":"W4401243906","doi":"10.1016/b978-0-44-313776-1.00291-9","title":"Advancements in financial asset pricing models: A comprehensive review","year":2024,"lang":"en","type":"review","venue":"Elsevier eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University; University of Waterloo","funders":"","keywords":"Business; Capital asset pricing model; Financial economics; Finance; Economics","score_opus":0.09289185939140229,"score_gpt":0.30688781161042267,"score_spread":0.21399595221902037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401243906","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011434115,0.9985996,0.0004262619,0.0002827335,0.00013238404,0.0000046757796,0.000036142665,0.000011156697,0.00039276952],"genre_scores_gemma":[0.00081434776,0.9981316,0.00043244386,0.00019152052,0.00021184496,0.000006262677,0.000048312348,0.0000028397233,0.00016082828],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996146,0.00008673014,0.00006453269,0.000078453675,0.00012816001,0.00002745175],"domain_scores_gemma":[0.9981724,0.0012657992,0.00018207465,0.000054725377,0.00025550454,0.00006950432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015946818,0.0011707302,0.0023504773,0.0028476529,0.00022103798,0.0018482244,0.0011119313,0.0016457253,0.0047764485],"category_scores_gemma":[0.0033603867,0.00043549997,0.0010782912,0.004620854,0.0004813397,0.0025396538,0.0009593163,0.0019287345,0.0018308155],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006979661,0.00012767273,0.0003208613,0.02584939,0.00022959971,0.00008259554,0.00004562995,0.0016947885,0.00044503977,0.0074661206,0.037273,0.92639565],"study_design_scores_gemma":[0.00011659752,0.0002170964,0.0022234127,0.02971057,0.0012234171,0.0007942768,0.00011688331,0.0022017676,0.00048763052,0.018923476,0.9438801,0.000104734165],"about_ca_topic_score_codex":0.0017576707,"about_ca_topic_score_gemma":0.0020379606,"teacher_disagreement_score":0.0047764485,"about_ca_system_score_codex":0.0006552528,"about_ca_system_score_gemma":0.0022751745,"threshold_uncertainty_score":0.015978813},"labels":[],"label_agreement":null},{"id":"W4401330704","doi":"10.1137/24m1644791","title":"Short Communication: The Price of Information","year":2024,"lang":"en","type":"article","venue":"SIAM Journal on Financial Mathematics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Econometrics; Economics; Financial economics; Computer science","score_opus":0.02915226246891609,"score_gpt":0.2317325216455644,"score_spread":0.20258025917664832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401330704","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018420223,0.05496468,0.07521367,0.2620975,0.23194207,0.00013992633,0.00575315,0.0011296776,0.35033906],"genre_scores_gemma":[0.3275553,0.025685448,0.0084904535,0.014660418,0.18553632,0.00018144409,0.0024746612,0.0012056885,0.4342102],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99754995,0.0006450531,0.00018945229,0.0004907539,0.0010027074,0.00012212589],"domain_scores_gemma":[0.9819432,0.0103465,0.0016520916,0.0015891464,0.003590649,0.0008783842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015721321,0.001303335,0.0018208753,0.0021673609,0.0011493351,0.007919784,0.0012395664,0.007722519,0.12747987],"category_scores_gemma":[0.030267095,0.0006926252,0.0005737413,0.00406939,0.002095496,0.007301081,0.0015596146,0.003666625,0.03600838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003449496,0.00005322885,0.000507532,0.00058897486,0.000057978363,0.0003594564,0.00011550823,0.0017971217,0.0012052095,0.31939548,0.5787286,0.096845895],"study_design_scores_gemma":[0.00014865168,0.00015271784,0.0016818222,0.00043024763,0.00007258321,0.0010011398,0.00012866389,0.01864344,0.00239811,0.50632083,0.46888664,0.0001350799],"about_ca_topic_score_codex":0.0006197601,"about_ca_topic_score_gemma":0.00050986727,"teacher_disagreement_score":0.12747987,"about_ca_system_score_codex":0.0016047905,"about_ca_system_score_gemma":0.0007891603,"threshold_uncertainty_score":0.42646265},"labels":[],"label_agreement":null},{"id":"W4401415780","doi":"10.3390/jrfm17080342","title":"Political Regimes, Stock Liquidity, and Information Asymmetry in a Global Context","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information asymmetry; Market liquidity; Corporate governance; Stock market; Transparency (behavior); Economics; Politics; Financial economics; Stock (firearms); Ordinary least squares; Autocracy; Capital market; Monetary economics; Context (archaeology); Finance; Econometrics; Political science; Democracy; Geography","score_opus":0.011132992781204675,"score_gpt":0.21550605607347273,"score_spread":0.20437306329226806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401415780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99287015,0.000334041,0.0007391116,0.0003004393,0.0000045362203,0.00000321249,0.00010076074,0.0000050044832,0.005642835],"genre_scores_gemma":[0.999734,0.000086016815,0.000055312572,0.000016458294,0.0000072799385,7.868905e-7,0.000023273065,8.761904e-7,0.000076057404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981564,0.00007224858,0.000009413896,0.000027450411,0.000023749602,0.000051527917],"domain_scores_gemma":[0.9962619,0.0009280864,0.002343839,0.00014246991,0.00013637543,0.000187392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005103355,0.00012591995,0.00017246958,0.0007976172,0.00027190175,0.0015841041,0.000082521154,0.0002602852,0.001679008],"category_scores_gemma":[0.002912713,0.0000724047,0.0001383683,0.0010387345,0.0009166928,0.0012206185,0.0008848048,0.00043510992,0.000096659736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014826044,0.00007049026,0.93894345,0.00005695408,0.000158446,0.00056549057,0.0012964605,0.009404408,0.0017429027,0.025938597,0.0006901783,0.020984411],"study_design_scores_gemma":[0.000014958415,0.00007775381,0.97042525,0.00005962024,0.00007242367,0.00020817724,0.0018226629,0.007698549,0.0007583934,0.016187664,0.0026501801,0.000024305808],"about_ca_topic_score_codex":0.0022167368,"about_ca_topic_score_gemma":0.0028050602,"teacher_disagreement_score":0.0022167368,"about_ca_system_score_codex":0.00025494175,"about_ca_system_score_gemma":0.00021887869,"threshold_uncertainty_score":0.0056168437},"labels":[],"label_agreement":null},{"id":"W4401592611","doi":"10.33423/jabe.v26i3.7169","title":"The Size Effect Anomaly in the Indian Stock Market","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"January effect; Stock (firearms); Stock market; Market size; Monetary economics; Anomaly (physics); Business; Economics; Geography; International economics; Physics","score_opus":0.010356341226555361,"score_gpt":0.18954471806037873,"score_spread":0.17918837683382338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401592611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98912805,0.00044554943,0.0005795566,0.00074417394,0.000050020833,0.00001244381,0.00045107256,0.00005634569,0.008532815],"genre_scores_gemma":[0.999196,0.00006298316,0.000064710104,0.00006677327,0.000034780413,0.0000018753243,0.00012499314,0.0000043395507,0.0004434894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993788,0.000084944215,0.00005587821,0.00012955868,0.0002462074,0.00010458306],"domain_scores_gemma":[0.9923483,0.002299433,0.00307714,0.00084632414,0.0010125242,0.0004162463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009106238,0.00011004811,0.00019304248,0.0011493148,0.00024589172,0.000616541,0.00029231719,0.00020958335,0.0036378324],"category_scores_gemma":[0.0059731174,0.000084156796,0.00038411425,0.0011104996,0.00066392607,0.0007370204,0.0004149988,0.0004711766,0.0003411355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026796514,0.00005184862,0.9711722,0.00006204432,0.00013679365,0.00050863606,0.0003645462,0.00042285156,0.004187668,0.0019794109,0.0019838046,0.018862166],"study_design_scores_gemma":[0.0000036949348,0.000044343593,0.9973116,0.0000052678733,0.0000321518,0.00015412699,0.00014309824,0.0004078656,0.0005416179,0.00048576877,0.00086466485,0.0000058551323],"about_ca_topic_score_codex":0.011562241,"about_ca_topic_score_gemma":0.011787497,"teacher_disagreement_score":0.011562241,"about_ca_system_score_codex":0.00038480075,"about_ca_system_score_gemma":0.00045179314,"threshold_uncertainty_score":0.02298987},"labels":[],"label_agreement":null},{"id":"W4401759238","doi":"10.3390/jrfm17080376","title":"Optimal Investments in the Portfolio Yield Reactive (PYR) Model","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Black–Litterman model; Computer science; Categorical variable; Project portfolio management; Portfolio optimization; Yield (engineering); Replicating portfolio; Application portfolio management; Modern portfolio theory; Selection (genetic algorithm); Economics; Finance; Artificial intelligence; Machine learning; Project management","score_opus":0.023904787283151246,"score_gpt":0.21732842296900237,"score_spread":0.19342363568585114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401759238","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10679738,0.00022594593,0.8816249,0.0009507474,0.000042858177,0.000050968105,0.00026456927,0.00028540596,0.009757222],"genre_scores_gemma":[0.9338573,0.00017064795,0.058706354,0.00014878728,0.00003645657,0.00008520773,0.00016396315,0.000050399245,0.0067809224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908006,0.00036492583,0.000037419646,0.00018670254,0.00022155579,0.00010939436],"domain_scores_gemma":[0.99866307,0.0007467658,0.00022136704,0.000106855674,0.00016084196,0.00010118098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019384477,0.00063819496,0.0006640658,0.00043893448,0.00029768984,0.0015408436,0.0013368286,0.0011085497,0.0032737711],"category_scores_gemma":[0.00656675,0.0004344497,0.00043673784,0.0005220078,0.0008074663,0.0018543811,0.0011452602,0.0011033582,0.0003528084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006149815,0.000026634018,0.0007835325,0.000024038642,0.000021539718,0.000108162494,0.000033924563,0.9018986,0.0008931886,0.08599051,0.00058917905,0.009569224],"study_design_scores_gemma":[0.000006893179,0.000014314936,0.000087495806,0.0000016110356,0.0000037580642,0.000009481295,0.000002420347,0.9861063,0.00011215159,0.013476751,0.0001745913,0.0000042736847],"about_ca_topic_score_codex":0.0027665142,"about_ca_topic_score_gemma":0.0014129403,"teacher_disagreement_score":0.0032737711,"about_ca_system_score_codex":0.0009208319,"about_ca_system_score_gemma":0.00076010684,"threshold_uncertainty_score":0.010951877},"labels":[],"label_agreement":null},{"id":"W4401783254","doi":"10.1111/fima.12471","title":"Disagreement exploitation and the cross‐section of hedge fund performance","year":2024,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Hedge fund; Section (typography); Business; Hedge; Economics; Financial economics; Finance; Advertising","score_opus":0.03185360034974635,"score_gpt":0.2275939349347143,"score_spread":0.19574033458496795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401783254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969656,0.00027919095,0.0013654891,0.000051070823,0.000007189544,0.0000062538224,0.00008596928,0.000016207016,0.0012230421],"genre_scores_gemma":[0.9995221,0.000029093708,0.000084416984,0.000007148191,0.000012399519,0.0000029966259,0.00010849097,0.0000025801778,0.00023080288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983897,0.0003873429,0.00021420156,0.00029229507,0.0004645106,0.00025185998],"domain_scores_gemma":[0.96217763,0.01968844,0.011790604,0.0024728796,0.002203627,0.001666779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068341973,0.0004242245,0.0006139618,0.0017787055,0.00029490198,0.0021409509,0.0004986542,0.0010091575,0.0025425907],"category_scores_gemma":[0.02808693,0.00023808522,0.00046154074,0.0010605772,0.00057887135,0.001742146,0.0018263741,0.00067620527,0.00044605398],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062818214,0.00017178754,0.96691906,0.000040401694,0.0006417398,0.00027072665,0.00019566808,0.015347835,0.0028643452,0.0018924429,0.00029067532,0.010737024],"study_design_scores_gemma":[0.000018879793,0.0002679387,0.96251845,0.00001820024,0.00009082122,0.00028466003,0.00017524522,0.02989272,0.0022847222,0.0039193523,0.0004922896,0.000036779104],"about_ca_topic_score_codex":0.00067754416,"about_ca_topic_score_gemma":0.00028119073,"teacher_disagreement_score":0.0068341973,"about_ca_system_score_codex":0.00044918526,"about_ca_system_score_gemma":0.00017975339,"threshold_uncertainty_score":0.036143124},"labels":[],"label_agreement":null},{"id":"W4401792630","doi":"10.1093/rfs/hhae041","title":"The Value of ETF Liquidity","year":2024,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council; Australian Research Council","keywords":"Market liquidity; Value (mathematics); Economics; Monetary economics; Mathematics; Statistics","score_opus":0.05786497447090018,"score_gpt":0.293520770167496,"score_spread":0.23565579569659584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401792630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77411306,0.014817122,0.039403513,0.010749944,0.00027843,0.000059401373,0.00040839225,0.00017057394,0.15999967],"genre_scores_gemma":[0.9951141,0.0007311236,0.0006621953,0.00008758263,0.00008168521,0.000007401489,0.000024050312,0.000008987828,0.0032827174],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990897,0.0002800787,0.000033864693,0.00013039597,0.00019162432,0.00027437715],"domain_scores_gemma":[0.994228,0.0028769965,0.0012328406,0.0002720691,0.00056714885,0.00082294276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013687831,0.00028351307,0.0007692175,0.0012816369,0.0010849909,0.0066304416,0.0011840301,0.002381886,0.011467365],"category_scores_gemma":[0.011172141,0.00022915467,0.00045104846,0.0009482693,0.0020566706,0.006022368,0.0018776612,0.0013852741,0.0006462658],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046611184,0.00015338713,0.017934578,0.00026748178,0.00013916862,0.0015039905,0.0005964572,0.03921969,0.0041951146,0.86713594,0.006978571,0.06140957],"study_design_scores_gemma":[0.0001184694,0.0002051259,0.01402934,0.00021347504,0.000120244855,0.001176793,0.0012396113,0.08483712,0.002248359,0.8754168,0.020296918,0.0000976514],"about_ca_topic_score_codex":0.0018681102,"about_ca_topic_score_gemma":0.0009940062,"teacher_disagreement_score":0.011467365,"about_ca_system_score_codex":0.0025446548,"about_ca_system_score_gemma":0.0009162805,"threshold_uncertainty_score":0.038362145},"labels":[],"label_agreement":null},{"id":"W4401799932","doi":"10.1016/j.jcae.2024.100440","title":"MD&amp;A tone and stock returns","year":2024,"lang":"en","type":"article","venue":"Journal of Contemporary Accounting & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Tone (literature); Stock (firearms); Accounting; Business; Linguistics; Materials science; Philosophy; Metallurgy","score_opus":0.050362507725762486,"score_gpt":0.25410071125625117,"score_spread":0.2037382035304887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401799932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99577904,0.0001587208,0.00011098148,0.00017672523,0.000010944582,0.00000532645,0.0001245063,0.0000039487877,0.003629848],"genre_scores_gemma":[0.999132,0.00008768252,0.0000806533,0.00002171777,0.000030252546,0.0000024070982,0.00006471861,0.000001055686,0.0005794116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995547,0.00010756574,0.000053897245,0.00004267634,0.00018934756,0.000051808107],"domain_scores_gemma":[0.9874356,0.002921059,0.007602443,0.000398811,0.0008659662,0.00077617087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009533523,0.00016114596,0.00010478392,0.0008770822,0.00034773277,0.0014112407,0.0001851463,0.00031917225,0.0029680692],"category_scores_gemma":[0.008387581,0.000068144494,0.000108463006,0.00059672707,0.00035172852,0.0008635605,0.0007331801,0.00036022687,0.00037734734],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030813666,0.00012144536,0.96102726,0.00007636837,0.000081898645,0.0004107946,0.0018987323,0.0004038602,0.004431795,0.002304776,0.00069895975,0.028235877],"study_design_scores_gemma":[0.0000053749172,0.000084453066,0.9938287,0.00002026945,0.000035535068,0.00013804209,0.0013032166,0.0009288194,0.0009924405,0.0006797673,0.0019684704,0.000014927109],"about_ca_topic_score_codex":0.0017159939,"about_ca_topic_score_gemma":0.002325727,"teacher_disagreement_score":0.0029680692,"about_ca_system_score_codex":0.00042416184,"about_ca_system_score_gemma":0.0002414659,"threshold_uncertainty_score":0.00992918},"labels":[],"label_agreement":null},{"id":"W4401817218","doi":"10.1016/j.jcorpfin.2024.102652","title":"Do buy-side analysts in earnings conference calls manipulate stock prices?","year":2024,"lang":"en","type":"article","venue":"Journal of Corporate Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Intelligent Machines, Chinese Academy of Sciences; Deakin University; Social Sciences and Humanities Research Council of Canada; Georgetown University; University of Connecticut","keywords":"Earnings; Business; Stock (firearms); Monetary economics; Earnings management; Stock price; Finance; Economics; Engineering","score_opus":0.07841761430546404,"score_gpt":0.24934747457796513,"score_spread":0.1709298602725011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401817218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982117,0.00023488372,0.00041640506,0.0031681794,0.00019254713,0.000019163548,0.000044123157,0.00003788348,0.013769663],"genre_scores_gemma":[0.9979134,0.000059632803,0.00019084098,0.0004976282,0.00008402695,0.000009077975,0.000021770118,0.000009892899,0.0012137146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987948,0.00048195786,0.000058707144,0.00012573965,0.00030775956,0.00023105279],"domain_scores_gemma":[0.9735526,0.016356122,0.0065401746,0.0008013457,0.0010321793,0.0017175898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023125515,0.00022150464,0.0002538525,0.00032592952,0.0005856351,0.002844616,0.00047275054,0.0028419527,0.0071825925],"category_scores_gemma":[0.04687914,0.00032002782,0.00018054766,0.0001958229,0.0004520165,0.0017625149,0.0005114782,0.0013696058,0.0012982282],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013848656,0.007874883,0.6793678,0.00020168062,0.0006309048,0.0011540303,0.008703568,0.0033635886,0.03604553,0.017576054,0.016475528,0.2147578],"study_design_scores_gemma":[0.0020180705,0.0021037986,0.8928542,0.00019287247,0.0007513127,0.00055905356,0.017374791,0.01753053,0.012842308,0.033360634,0.02022897,0.00018347154],"about_ca_topic_score_codex":0.002337738,"about_ca_topic_score_gemma":0.0055732615,"teacher_disagreement_score":0.0071825925,"about_ca_system_score_codex":0.0006053815,"about_ca_system_score_gemma":0.0009828695,"threshold_uncertainty_score":0.024028182},"labels":[],"label_agreement":null},{"id":"W4401881390","doi":"10.1109/compsac61105.2024.00037","title":"A Cryptocurrency Multiple Trading Strategy with Kalman Filter Innovation Volatility Interval Forecasts","year":2024,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cryptocurrency; Kalman filter; Volatility (finance); Computer science; Econometrics; Interval (graph theory); Economics; Mathematics; Artificial intelligence; Computer security","score_opus":0.06426039785393478,"score_gpt":0.24494435547765575,"score_spread":0.18068395762372097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401881390","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17178598,0.00052781205,0.8215841,0.00019706575,0.00013848695,0.00011962152,0.000068189955,0.0007695922,0.0048091416],"genre_scores_gemma":[0.9614205,0.000061587016,0.03724291,0.00003552407,0.000017678562,0.000034514913,0.000030332714,0.000011413114,0.0011456792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993339,0.000111096655,0.00006032938,0.00018548833,0.00023768615,0.00007152051],"domain_scores_gemma":[0.99929094,0.00022326948,0.00013517604,0.00010616375,0.00018546903,0.00005887337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008728207,0.0006789769,0.00080096466,0.00044397032,0.0004250744,0.00088127353,0.000897097,0.0006160931,0.00114987],"category_scores_gemma":[0.0020019847,0.00021394223,0.00040475265,0.00036266976,0.00042355535,0.0012548956,0.0005737353,0.0006850923,0.0002272257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008873949,0.00029864188,0.0054718233,0.00012304724,0.00022678173,0.00036218335,0.00018348887,0.57935196,0.020693954,0.016384976,0.001510919,0.37450486],"study_design_scores_gemma":[0.000033747587,0.00011881598,0.0003560401,0.0000035517053,0.000021506168,0.00005925434,0.000007904354,0.9943263,0.003202916,0.0014869948,0.00036863628,0.000014373698],"about_ca_topic_score_codex":0.003958642,"about_ca_topic_score_gemma":0.002701577,"teacher_disagreement_score":0.003958642,"about_ca_system_score_codex":0.00049299607,"about_ca_system_score_gemma":0.00077243877,"threshold_uncertainty_score":0.007871211},"labels":[],"label_agreement":null},{"id":"W4402007018","doi":"10.3390/jrfm17090383","title":"Asymmetric Impact of Active Management on the Performance of ESG Funds","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"American University in Cairo","keywords":"Business; Passive management; Equity (law); Investment management; Market timing; Fund of funds; Finance; Index fund; Active management; Hedge fund; Sustainability; Open-end fund; Economics; Institutional investor; Project portfolio management; Corporate governance; Project management; Market liquidity","score_opus":0.014637740724481395,"score_gpt":0.2168785705592189,"score_spread":0.20224082983473748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402007018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972658,0.000120834055,0.00047278474,0.00011362118,0.0000050918024,0.000006171261,0.00012408366,0.000006972823,0.0018845611],"genre_scores_gemma":[0.9996736,0.00002576434,0.00005584785,0.000008126842,0.000014219318,0.0000020871275,0.00007684201,0.0000012603272,0.00014238851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973564,0.00063883385,0.0003407718,0.00035154913,0.00080625573,0.0005062764],"domain_scores_gemma":[0.957259,0.011205117,0.025701473,0.0023826342,0.0016533232,0.0017984483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004562994,0.00028675728,0.0003908085,0.0019359252,0.0003291822,0.0019005918,0.00045786987,0.000549956,0.0017784609],"category_scores_gemma":[0.030549267,0.00009903461,0.00027896347,0.0014879756,0.00065857626,0.0014399217,0.0019314252,0.000539357,0.00029779147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026164379,0.00005625734,0.9749727,0.000030165531,0.000113423266,0.00015930712,0.00042087474,0.0022111668,0.0007765179,0.0016364235,0.0002984961,0.01906303],"study_design_scores_gemma":[0.000010372739,0.00017713185,0.992401,0.000015725109,0.00005184387,0.00010412071,0.00060706004,0.0032871293,0.0007611109,0.001742757,0.0008267353,0.000015157949],"about_ca_topic_score_codex":0.0017424263,"about_ca_topic_score_gemma":0.002112604,"teacher_disagreement_score":0.004562994,"about_ca_system_score_codex":0.00088464934,"about_ca_system_score_gemma":0.00044361455,"threshold_uncertainty_score":0.024131656},"labels":[],"label_agreement":null},{"id":"W4402127876","doi":"10.3390/jrfm17090388","title":"Application of a Robust Maximum Diversified Portfolio to a Small Economy’s Stock Market: An Application to Fiji’s South Pacific Stock Exchange","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Changwon National University","keywords":"Stock exchange; Portfolio; Stock market; Business; Financial economics; Stock (firearms); Market maker; Economics; Monetary economics; Finance; Geography","score_opus":0.020815809203103636,"score_gpt":0.2042128193405304,"score_spread":0.18339701013742676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402127876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81530064,0.0007982364,0.17943075,0.00059058366,0.00004893102,0.00011817093,0.00022089157,0.00050004304,0.0029918482],"genre_scores_gemma":[0.94275504,0.00016428331,0.056318417,0.00006231384,0.000020854572,0.00002651034,0.00014485941,0.000023297194,0.00048443387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953866,0.00021762974,0.000035274854,0.0000729604,0.00008983573,0.00004567448],"domain_scores_gemma":[0.99822646,0.0011376931,0.0001729476,0.00019972057,0.00018411074,0.00007918195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028034707,0.0005932961,0.0006791131,0.0010207716,0.00029117093,0.0008093686,0.00082111434,0.00073443877,0.0009579801],"category_scores_gemma":[0.006795478,0.00024469782,0.000670981,0.00073136674,0.0003762618,0.0007835377,0.00096229004,0.0006701103,0.00007495215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000175594,0.00013691235,0.01968679,0.00007225012,0.00022969648,0.0004918683,0.000072438124,0.91093427,0.0023783676,0.004982376,0.00053777674,0.060301606],"study_design_scores_gemma":[0.000035876725,0.000080095284,0.0027367573,0.0000067232977,0.000017996907,0.000058219015,0.000020922258,0.99416864,0.0007810577,0.0017842801,0.0002993135,0.000010242872],"about_ca_topic_score_codex":0.008145593,"about_ca_topic_score_gemma":0.00506423,"teacher_disagreement_score":0.008145593,"about_ca_system_score_codex":0.00056767405,"about_ca_system_score_gemma":0.0006681319,"threshold_uncertainty_score":0.01619637},"labels":[],"label_agreement":null},{"id":"W4402153763","doi":"10.2139/ssrn.4930965","title":"Determinants of Cryptocurrency Returns","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Cryptocurrency; Economics; Financial economics; Monetary economics; Econometrics; Business; Computer science; Computer security","score_opus":0.02316223084908967,"score_gpt":0.24667844359316501,"score_spread":0.22351621274407535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402153763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99329424,0.00021525283,0.0013623814,0.00068470906,0.000013288289,0.0000085453985,0.00017538006,0.000031974985,0.0042141667],"genre_scores_gemma":[0.9993777,0.000037973063,0.00004263689,0.000009443467,0.000011780516,7.9965673e-7,0.000034382116,0.000003926421,0.0004813172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996131,0.00011522999,0.000021097716,0.00005074514,0.000074509546,0.0001253573],"domain_scores_gemma":[0.97561353,0.016203126,0.004290777,0.0011975851,0.0012081768,0.001486852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010342288,0.00018030165,0.00032194136,0.0006891208,0.00021477364,0.0021868516,0.0002645807,0.0007506698,0.009442657],"category_scores_gemma":[0.017121317,0.00021314021,0.0002101935,0.00086744654,0.0005542471,0.0011482593,0.00036771223,0.0012107561,0.0011514226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079115236,0.00062580087,0.905604,0.00008148324,0.00020367344,0.00062539725,0.00027757735,0.013448424,0.0042809816,0.038108252,0.0037247732,0.032228395],"study_design_scores_gemma":[0.00009266332,0.00020736201,0.8849523,0.000036007146,0.00018683194,0.00038359486,0.0005574017,0.07615034,0.0027931647,0.032175682,0.0024290748,0.000035558613],"about_ca_topic_score_codex":0.002085615,"about_ca_topic_score_gemma":0.002264336,"teacher_disagreement_score":0.009442657,"about_ca_system_score_codex":0.00051071873,"about_ca_system_score_gemma":0.00041714494,"threshold_uncertainty_score":0.031588852},"labels":[],"label_agreement":null},{"id":"W4402334537","doi":"10.1016/j.frl.2024.106076","title":"The time-varying interaction of northbound capital flows and stock market performance in China","year":2024,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"China; Economics; Stock market; Financial economics; Stock (firearms); Monetary economics; Econometrics; Business; Geography","score_opus":0.03095767921141406,"score_gpt":0.2652120785460097,"score_spread":0.23425439933459563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402334537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989581,0.000102039805,0.00006846292,0.00020341808,0.0000070762344,0.0000018788874,0.00014896272,0.00000641414,0.00050361606],"genre_scores_gemma":[0.9992648,0.000061810926,0.000013353662,0.00001726012,0.00000829988,0.0000011607634,0.0001481204,0.0000018722795,0.0004832197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967957,0.00004657217,0.00003172964,0.00008272141,0.00004030946,0.0001192028],"domain_scores_gemma":[0.997216,0.000616927,0.0009494723,0.0001726864,0.0003220185,0.00072287343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008486749,0.00032793178,0.0004980956,0.0010718278,0.0006482429,0.0012920038,0.00055241364,0.000612404,0.0024538087],"category_scores_gemma":[0.0017176119,0.00029820797,0.0005595053,0.0016645691,0.0007249982,0.00080510025,0.00077865936,0.00054494565,0.00031658326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018453084,0.00007377936,0.9887754,0.000025679095,0.00017886724,0.000572986,0.00060574675,0.0032076077,0.0011567844,0.0010107898,0.0005937946,0.0036140585],"study_design_scores_gemma":[0.000005172496,0.000024160681,0.99583375,0.0000040182717,0.000039535214,0.00003094932,0.00028293682,0.0032688812,0.00007839066,0.0001692368,0.00024950498,0.000013500978],"about_ca_topic_score_codex":0.11631151,"about_ca_topic_score_gemma":0.15382028,"teacher_disagreement_score":0.11631151,"about_ca_system_score_codex":0.001892451,"about_ca_system_score_gemma":0.0016208382,"threshold_uncertainty_score":0.231269},"labels":[],"label_agreement":null},{"id":"W4402574215","doi":"10.1287/mnsc.2022.02659","title":"The Use and Usefulness of Big Data in Finance: Evidence from Financial Analysts","year":2024,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Big data; Economics; Finance; Business; Computer science","score_opus":0.17507301646528958,"score_gpt":0.26616917736046,"score_spread":0.09109616089517039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402574215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8604998,0.024268987,0.008504887,0.061240606,0.00047908706,0.000112233734,0.0029434194,0.00011020725,0.0418409],"genre_scores_gemma":[0.9870105,0.0060179746,0.0034602396,0.0017859414,0.0004535889,0.000032464937,0.00072482676,0.00003909534,0.00047530403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9712919,0.014425768,0.002050841,0.0015742522,0.010116195,0.00054108107],"domain_scores_gemma":[0.40156615,0.46672645,0.076925956,0.021004612,0.029551148,0.00422571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.040912293,0.00033116242,0.00023392809,0.0048881117,0.0010808649,0.0057509607,0.00087145617,0.0016966076,0.0015149558],"category_scores_gemma":[0.26903537,0.00042229006,0.00034468508,0.0065319,0.002855327,0.007967296,0.0027662553,0.001982765,0.0004094281],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067123177,0.00014404536,0.77061,0.00084128807,0.00041027722,0.0003724523,0.019053483,0.0011489026,0.0005108235,0.013581625,0.019243654,0.17341228],"study_design_scores_gemma":[0.00014978468,0.00037591887,0.7790481,0.004476355,0.00043807473,0.0012033065,0.033129532,0.012725502,0.0029129458,0.042360377,0.122830264,0.00034988235],"about_ca_topic_score_codex":0.0059853722,"about_ca_topic_score_gemma":0.0064802486,"teacher_disagreement_score":0.040912293,"about_ca_system_score_codex":0.0011463375,"about_ca_system_score_gemma":0.0014518795,"threshold_uncertainty_score":0.21636742},"labels":[],"label_agreement":null},{"id":"W4402747453","doi":"10.1287/mnsc.2023.03071","title":"Stock Return Autocorrelations and Expected Option Returns","year":2024,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Financial economics; Econometrics; Economics; Stock (firearms); Business; Geography","score_opus":0.029341955382777955,"score_gpt":0.23564155718412189,"score_spread":0.20629960180134393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402747453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8965112,0.00091777294,0.09280998,0.0006328494,0.000050946506,0.000013220814,0.00044784066,0.00030391058,0.008312249],"genre_scores_gemma":[0.99662316,0.0001697717,0.0022122562,0.000019902407,0.000037463433,0.0000040672044,0.00016230548,0.000025034115,0.0007460568],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994498,0.00013875401,0.000041649113,0.00011541967,0.00017726069,0.00007700826],"domain_scores_gemma":[0.9798963,0.013025092,0.0042552403,0.0014131559,0.0009860279,0.0004241494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021184727,0.0003691755,0.00037966677,0.0009968759,0.00018481875,0.0010805221,0.0005041853,0.00047806161,0.0036799351],"category_scores_gemma":[0.028855808,0.00021334637,0.00045047855,0.0013143783,0.00055346004,0.0017486546,0.0007257634,0.0010111574,0.00040259017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002298587,0.0002053015,0.47933206,0.00019283165,0.0004030587,0.0014111942,0.0005366702,0.2296368,0.009528064,0.1946996,0.0027015768,0.08112314],"study_design_scores_gemma":[0.000015121788,0.00010986515,0.29484192,0.00005569044,0.00008858256,0.00072988094,0.000095684365,0.57525146,0.0035550394,0.12330966,0.0018582478,0.000088937064],"about_ca_topic_score_codex":0.003057523,"about_ca_topic_score_gemma":0.0027558303,"teacher_disagreement_score":0.0036799351,"about_ca_system_score_codex":0.00047562283,"about_ca_system_score_gemma":0.0004642062,"threshold_uncertainty_score":0.012310624},"labels":[],"label_agreement":null},{"id":"W4402757263","doi":"10.1016/j.jbef.2024.100994","title":"Risk is in the eye of the investor: Cryptocurrency investors’ engagement with risk, regulatory advice, and regulatory institutions","year":2024,"lang":"en","type":"article","venue":"Journal of Behavioral and Experimental Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"University College London","keywords":"Cryptocurrency; Advice (programming); Business; Finance; Actuarial science; Economics; Computer security; Computer science","score_opus":0.040236451333531806,"score_gpt":0.27415098303825963,"score_spread":0.2339145317047278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402757263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943386,0.00020826141,0.00020571421,0.0020876122,0.000015419182,0.000009285872,0.000010894866,0.0000020506097,0.0031222582],"genre_scores_gemma":[0.9979761,0.00023862698,0.00017159387,0.00093643396,0.000016852926,0.000009110792,0.000012541768,0.0000035092019,0.0006351254],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9922579,0.0047302186,0.00037053978,0.00033849876,0.0014668836,0.0008358967],"domain_scores_gemma":[0.9470028,0.027528793,0.017835043,0.0010830205,0.0035222364,0.0030281087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012615175,0.00016506577,0.00030944272,0.0009209017,0.002088836,0.0051991157,0.00041894286,0.0020396826,0.0026585779],"category_scores_gemma":[0.039844744,0.0003120655,0.00028456651,0.00082647294,0.0037553047,0.0038783853,0.002661462,0.0033771743,0.0003153001],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041528567,0.0007037525,0.4039538,0.00021666593,0.00008619468,0.00080954004,0.5511875,0.00018763843,0.0014725844,0.0041196807,0.002616227,0.034231056],"study_design_scores_gemma":[0.000060808678,0.0004204683,0.28065643,0.0004117109,0.00008628309,0.00056532404,0.6945153,0.0008664567,0.0008978754,0.0024928844,0.018901976,0.00012449389],"about_ca_topic_score_codex":0.00896702,"about_ca_topic_score_gemma":0.013032918,"teacher_disagreement_score":0.012615175,"about_ca_system_score_codex":0.00237412,"about_ca_system_score_gemma":0.001807548,"threshold_uncertainty_score":0.066716194},"labels":[],"label_agreement":null},{"id":"W4402938607","doi":"10.1080/00036846.2024.2407555","title":"Why do insiders sell stocks after receiving options?","year":2024,"lang":"en","type":"article","venue":"Applied Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Economics; Financial economics; Monetary economics","score_opus":0.019959698364140667,"score_gpt":0.19793257514714838,"score_spread":0.17797287678300772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402938607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99549097,0.0003477314,0.00034957146,0.00047325555,0.000016713637,0.0000062109616,0.000061917264,0.00001161131,0.0032420882],"genre_scores_gemma":[0.99869835,0.00015386278,0.00015210011,0.000076314696,0.000027267499,0.0000028137986,0.000043576332,0.000003153728,0.00084236794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996306,0.00008917127,0.000032733056,0.00006133984,0.000111349334,0.00007483787],"domain_scores_gemma":[0.9865276,0.004894445,0.0063996487,0.0007584034,0.000426852,0.0009930817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011611992,0.0001506204,0.0003160284,0.00038419117,0.00029271015,0.0013792148,0.00027774376,0.0008298703,0.004781],"category_scores_gemma":[0.012270298,0.00013101906,0.00022230887,0.00026156363,0.0005434308,0.0017975928,0.00041181297,0.0007920741,0.00084618386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007856157,0.0004653421,0.89431113,0.00012372766,0.00017141132,0.0010795791,0.0021689064,0.00076643325,0.008484756,0.0040046903,0.0015081945,0.086130135],"study_design_scores_gemma":[0.00003948145,0.0004858379,0.97455096,0.00010461946,0.000094248295,0.0014770809,0.00459997,0.0025563785,0.003576476,0.0085807685,0.0038891165,0.00004515808],"about_ca_topic_score_codex":0.0007321122,"about_ca_topic_score_gemma":0.0014421873,"teacher_disagreement_score":0.004781,"about_ca_system_score_codex":0.00019266807,"about_ca_system_score_gemma":0.000162122,"threshold_uncertainty_score":0.015994072},"labels":[],"label_agreement":null},{"id":"W4403008294","doi":"10.2139/ssrn.4964058","title":"&amp;nbsp;Forecasting Option Returns with News","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Financial economics; Econometrics","score_opus":0.032743861735112297,"score_gpt":0.21685937936691713,"score_spread":0.18411551763180484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403008294","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16499114,0.00898882,0.22828668,0.017444039,0.0036831708,0.0004519076,0.20278542,0.028609501,0.34475935],"genre_scores_gemma":[0.6725079,0.0038100432,0.11862606,0.0005053857,0.0015986931,0.00019956593,0.040777847,0.0031474507,0.15882711],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968445,0.000051191393,0.000020801883,0.000055157914,0.00016810517,0.000020177342],"domain_scores_gemma":[0.9977476,0.0009817998,0.0003022926,0.00027179587,0.0005463897,0.0001500371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010618167,0.00044334374,0.00052478915,0.0019274151,0.0003402415,0.0017526012,0.00070836593,0.0009989914,0.04138851],"category_scores_gemma":[0.011557805,0.00034526127,0.00018186026,0.0019230153,0.00024291813,0.0018321745,0.00037205004,0.0007291079,0.012189694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048771934,0.00008161054,0.017768066,0.00026831948,0.000074992306,0.0002438912,0.000061304265,0.038406674,0.0013586666,0.021570483,0.43254104,0.4871372],"study_design_scores_gemma":[0.00013814113,0.00009176811,0.021306695,0.00022055865,0.000053255768,0.0001300124,0.00007264623,0.74658644,0.0074930545,0.03932959,0.18451363,0.00006427131],"about_ca_topic_score_codex":0.013860859,"about_ca_topic_score_gemma":0.016686676,"teacher_disagreement_score":0.04138851,"about_ca_system_score_codex":0.00052576925,"about_ca_system_score_gemma":0.0003903139,"threshold_uncertainty_score":0.13845837},"labels":[],"label_agreement":null},{"id":"W4403130898","doi":"10.2139/ssrn.4943397","title":"Inferring Mutual Fund Intra-Quarter Trading: An Application to ESG Window Dressing","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Window (computing); Business; Computer science; World Wide Web; Geography","score_opus":0.0295389721974525,"score_gpt":0.25442449061698214,"score_spread":0.22488551841952964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403130898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70240134,0.0009744629,0.2856801,0.0008669333,0.00013442182,0.000056099947,0.0023786027,0.002833025,0.0046750535],"genre_scores_gemma":[0.9337493,0.00015889654,0.06313301,0.000029617475,0.0000924898,0.000013779815,0.0010276076,0.000105147956,0.0016900081],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996494,0.00011108754,0.000024217758,0.00008378214,0.000084554,0.000046935977],"domain_scores_gemma":[0.99772745,0.0014550854,0.00015246028,0.00038126687,0.0001612316,0.00012241746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012159992,0.0005300587,0.0006721516,0.0015966515,0.0003740179,0.0013244061,0.0007873091,0.0013989939,0.0031688048],"category_scores_gemma":[0.010879356,0.00037176677,0.00042169832,0.001261378,0.00024087059,0.0013660105,0.00090020604,0.00079025107,0.00082556513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014883324,0.00043906205,0.1613945,0.00022367331,0.00034096465,0.0013129796,0.00084559544,0.27683637,0.019481737,0.020528035,0.015084533,0.50202423],"study_design_scores_gemma":[0.000015286127,0.000018901663,0.0066798525,0.000008962004,0.000014077608,0.00009554996,0.00006615082,0.9792453,0.0017641615,0.0107908975,0.0012914189,0.0000093416475],"about_ca_topic_score_codex":0.0046873363,"about_ca_topic_score_gemma":0.005415053,"teacher_disagreement_score":0.0046873363,"about_ca_system_score_codex":0.00029500158,"about_ca_system_score_gemma":0.00043670577,"threshold_uncertainty_score":0.010600686},"labels":[],"label_agreement":null},{"id":"W4403189043","doi":"10.1007/s10479-024-06281-1","title":"Dual dominance: how Harry Markowitz and William Ziemba impacted portfolio management","year":2024,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Theory of computation; Dual (grammatical number); Dominance (genetics); Project portfolio management; Portfolio; Economics; Computer science; Mathematical economics; Management; Financial economics; Philosophy; Biology; Linguistics; Project management; Programming language; Genetics","score_opus":0.16054421804847227,"score_gpt":0.36825736599534875,"score_spread":0.20771314794687648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403189043","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060704026,0.03086883,0.14577277,0.5371198,0.00950765,0.00009618319,0.00020664732,0.00044513989,0.21527894],"genre_scores_gemma":[0.757954,0.019614264,0.0629819,0.047937408,0.003644146,0.000113247785,0.00010246952,0.0009896661,0.106662996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942303,0.002923186,0.0001889481,0.00052508217,0.0015901553,0.0005422959],"domain_scores_gemma":[0.9880378,0.0064428025,0.0004457879,0.0007527387,0.0025963183,0.001724578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011546209,0.0006731857,0.00069550023,0.0021483267,0.004138969,0.012865534,0.0010653513,0.0030283662,0.0075688804],"category_scores_gemma":[0.033019334,0.0006902714,0.00046031465,0.0018036917,0.0067133033,0.011919098,0.0059520286,0.007559302,0.0014366193],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112433074,0.00016185624,0.003579789,0.00009258915,0.000050316517,0.00024938135,0.0048935395,0.0031071892,0.0008061469,0.69067955,0.0942387,0.20202845],"study_design_scores_gemma":[0.00003431276,0.00007219535,0.0014515014,0.00029405224,0.000037232796,0.00022908872,0.003664315,0.006624526,0.0013775151,0.64918756,0.33690864,0.000119018325],"about_ca_topic_score_codex":0.013149013,"about_ca_topic_score_gemma":0.015342979,"teacher_disagreement_score":0.013149013,"about_ca_system_score_codex":0.0049922387,"about_ca_system_score_gemma":0.0056847343,"threshold_uncertainty_score":0.061062932},"labels":[],"label_agreement":null},{"id":"W4403190281","doi":"10.3390/jrfm17100452","title":"A Collection of Wisdom in Predicting Sector Returns: The Use of Google Search Volume Index","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Pennsylvania","keywords":"Index (typography); Volume (thermodynamics); Econometrics; Business; Economics; Statistics; Financial economics; Information retrieval; Data science; Computer science; Mathematics; World Wide Web","score_opus":0.03219077884750787,"score_gpt":0.2132083339847125,"score_spread":0.18101755513720463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403190281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982179,0.0035490799,0.0036884078,0.0011133987,0.00008724622,0.00004283903,0.0013443986,0.00009663873,0.00789902],"genre_scores_gemma":[0.99563885,0.0009619546,0.0017577896,0.00010828633,0.00012322915,0.0000078568955,0.0010045131,0.000008692736,0.00038886518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99724966,0.0006582782,0.00047201323,0.0003749018,0.0011094417,0.00013581204],"domain_scores_gemma":[0.9636807,0.020189693,0.009393087,0.0030984567,0.002636934,0.001001103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041456786,0.00075459795,0.00091971585,0.009058175,0.00047723498,0.0038962045,0.0008328077,0.0012930244,0.0010551186],"category_scores_gemma":[0.03616716,0.00034111177,0.00080911606,0.007657772,0.0006517768,0.0046303445,0.0013790578,0.0009958522,0.00078653934],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001589756,0.00008343069,0.95979726,0.00008882641,0.0003900744,0.00016680452,0.00021788776,0.0027083543,0.0004205225,0.00059208914,0.00076734903,0.034608446],"study_design_scores_gemma":[0.000026029415,0.0003687931,0.9488841,0.00015746056,0.00041517982,0.0005958445,0.0010919947,0.037929118,0.0013210529,0.0064070746,0.002710105,0.00009324123],"about_ca_topic_score_codex":0.008499545,"about_ca_topic_score_gemma":0.010483911,"teacher_disagreement_score":0.009058175,"about_ca_system_score_codex":0.0006058251,"about_ca_system_score_gemma":0.00067685195,"threshold_uncertainty_score":0.021924734},"labels":[],"label_agreement":null},{"id":"W4403244545","doi":"10.2139/ssrn.4947547","title":"Distorted Beliefs and Asset Prices","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Asset (computer security); Economics; Financial economics; Capital asset pricing model; Monetary economics; Business; Computer science","score_opus":0.01654527168699459,"score_gpt":0.21807616618242207,"score_spread":0.20153089449542747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403244545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89204764,0.0021186713,0.056215093,0.011855577,0.00013897839,0.00002206648,0.0003119383,0.000075306285,0.037214722],"genre_scores_gemma":[0.99494296,0.00051918323,0.0012615467,0.00011485057,0.00007157499,0.000006229337,0.00004437455,0.000009101206,0.003030198],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946755,0.00024017305,0.000028444803,0.00007135266,0.00011798828,0.00007448393],"domain_scores_gemma":[0.9780629,0.017037323,0.0025789454,0.0011669658,0.0006968703,0.00045698756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021917818,0.0002905642,0.00048388226,0.00051612983,0.00032035448,0.003618983,0.00045944666,0.0014357535,0.0075678597],"category_scores_gemma":[0.04005106,0.00047743224,0.00026083394,0.0005905019,0.0017135792,0.0040534274,0.00088803633,0.0025835128,0.00048819048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046652707,0.00013622652,0.010528678,0.00009949488,0.00009897674,0.0005888053,0.0008306575,0.02494957,0.00091362227,0.9335297,0.0022374643,0.02562028],"study_design_scores_gemma":[0.00003744387,0.000023398838,0.0031940101,0.000010931594,0.000014428824,0.00009590486,0.00015100664,0.037624866,0.00014459302,0.95824796,0.0004429562,0.000012416344],"about_ca_topic_score_codex":0.0013610071,"about_ca_topic_score_gemma":0.00075248966,"teacher_disagreement_score":0.0075678597,"about_ca_system_score_codex":0.0010155332,"about_ca_system_score_gemma":0.0003498621,"threshold_uncertainty_score":0.025317013},"labels":[],"label_agreement":null},{"id":"W4403272132","doi":"10.1016/j.jet.2024.105922","title":"Ambiguity, information processing, and financial intermediation","year":2024,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"General Research Fund of Shanghai Normal University; University of Hong Kong","keywords":"Ambiguity; Intermediation; Financial intermediary; Business; Finance; Computer science; Programming language","score_opus":0.012577560133329434,"score_gpt":0.21569625639208484,"score_spread":0.2031186962587554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403272132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6356406,0.026788617,0.20681345,0.025322208,0.00058587745,0.0000992925,0.00041077822,0.00017311159,0.10416604],"genre_scores_gemma":[0.990657,0.0020120312,0.005192218,0.00021636838,0.00030938914,0.000017703727,0.000034007746,0.000010736523,0.0015505926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99820995,0.0008406038,0.00013674209,0.00021848573,0.00042529518,0.00016890709],"domain_scores_gemma":[0.96507883,0.02954519,0.00279616,0.0011467797,0.0008696491,0.00056341925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049070143,0.0005464293,0.0010659229,0.0017131601,0.0008639194,0.007564776,0.0007482269,0.0027899675,0.0049323956],"category_scores_gemma":[0.03455294,0.00056505855,0.0005681371,0.002012923,0.0040190164,0.010261408,0.0018670602,0.0022212616,0.00039319662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037369583,0.0002099575,0.004764731,0.00019607629,0.00010798568,0.00040607905,0.0009862744,0.024649208,0.001293747,0.93161875,0.0018548564,0.033538718],"study_design_scores_gemma":[0.00002576489,0.000022994116,0.0010196374,0.000025126581,0.00002115604,0.00006611108,0.00013661898,0.017552653,0.00016362025,0.98034877,0.00059603056,0.000021509333],"about_ca_topic_score_codex":0.0009946736,"about_ca_topic_score_gemma":0.00047893228,"teacher_disagreement_score":0.007564776,"about_ca_system_score_codex":0.0009822269,"about_ca_system_score_gemma":0.0011349249,"threshold_uncertainty_score":0.025951087},"labels":[],"label_agreement":null},{"id":"W4403396173","doi":"10.3390/jrfm17100463","title":"Asset Returns: Reimagining Generative ESG Indexes and Market Interconnectedness","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Generative grammar; Asset (computer security); Financial economics; Business; Economics; Linguistics; Computer science; Philosophy","score_opus":0.014095561856489233,"score_gpt":0.21333115486151,"score_spread":0.19923559300502075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403396173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84009993,0.00007427116,0.15708815,0.00030894743,0.000011933571,0.00004056557,0.00017033523,0.00023798025,0.0019679384],"genre_scores_gemma":[0.98790133,0.00002322921,0.011565094,0.000019063758,0.0000056539807,0.000013192657,0.0001016905,0.000019832552,0.00035081536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996289,0.00014169105,0.000021028545,0.000108467495,0.000051495157,0.000048426737],"domain_scores_gemma":[0.9945463,0.003703695,0.00063124025,0.0006311037,0.00030160358,0.00018606811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028283147,0.0004963954,0.00045950845,0.0010854531,0.00025520928,0.0016119212,0.0009020878,0.0006949923,0.0020016218],"category_scores_gemma":[0.018088708,0.00033712422,0.000547574,0.0007035579,0.00087745034,0.0020857975,0.0011242973,0.0012344999,0.00018738033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015117142,0.00011384822,0.10508572,0.000038885544,0.00014610066,0.00032912893,0.00059949583,0.77233654,0.0033105204,0.043727316,0.0005216541,0.0736396],"study_design_scores_gemma":[0.000005937974,0.00002005133,0.00977925,0.00000825602,0.000015444395,0.000021492868,0.000041557112,0.974996,0.0007278769,0.01413704,0.00023547569,0.00001164864],"about_ca_topic_score_codex":0.008844127,"about_ca_topic_score_gemma":0.0076786606,"teacher_disagreement_score":0.008844127,"about_ca_system_score_codex":0.00093710923,"about_ca_system_score_gemma":0.0006807211,"threshold_uncertainty_score":0.017585337},"labels":[],"label_agreement":null},{"id":"W4403396180","doi":"10.3390/jrfm17100464","title":"Social Status, Portfolio Externalities, and International Risk Sharing","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Externality; Portfolio; Business; Economics; Actuarial science; Financial economics; Microeconomics","score_opus":0.02073842072756371,"score_gpt":0.23253765044165753,"score_spread":0.21179922971409382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403396180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91679835,0.00021685727,0.032181904,0.0015940607,0.000019892133,0.000024818517,0.00013823425,0.000022876018,0.049003005],"genre_scores_gemma":[0.9987853,0.000063292166,0.00031825012,0.000025137044,0.0000076136794,0.0000054100865,0.000013383428,0.0000014221669,0.0007802778],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997383,0.0001016371,0.000011236676,0.000035802113,0.000042682062,0.00007036766],"domain_scores_gemma":[0.9971046,0.0009522801,0.0013852344,0.00023935309,0.00007959783,0.0002389403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008599525,0.00034819622,0.00026476922,0.0004541256,0.0005162317,0.0017176381,0.0003500596,0.00067524187,0.005175012],"category_scores_gemma":[0.003439622,0.00007797774,0.0003132047,0.0005316662,0.0016671544,0.0015587177,0.0015887422,0.0007267964,0.00017958738],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001281016,0.0002281087,0.08739241,0.000057525725,0.0001385374,0.00044546433,0.00085052947,0.08519588,0.0016978614,0.799954,0.0016434923,0.02226818],"study_design_scores_gemma":[0.000037568814,0.00017551289,0.051953953,0.000052469753,0.00008324948,0.00037539212,0.0010035008,0.13227043,0.0008925666,0.8088403,0.0042711645,0.000043973276],"about_ca_topic_score_codex":0.0012713827,"about_ca_topic_score_gemma":0.001272487,"teacher_disagreement_score":0.005175012,"about_ca_system_score_codex":0.0007440673,"about_ca_system_score_gemma":0.0002602249,"threshold_uncertainty_score":0.01731217},"labels":[],"label_agreement":null},{"id":"W4403484262","doi":"10.1007/978-3-030-38738-9_258-1","title":"Rebalancing Portfolios with Private Assets","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CARE Canada; University of Toronto","funders":"","keywords":"Business; Economics","score_opus":0.023309596237246637,"score_gpt":0.19352664535848468,"score_spread":0.17021704912123806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403484262","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07681575,0.013712501,0.65432304,0.004667387,0.00092365145,0.00013711529,0.00022002192,0.0013386545,0.24786185],"genre_scores_gemma":[0.66962576,0.006532507,0.1169802,0.0005680224,0.0007057947,0.000093291426,0.00023373011,0.00042563406,0.20483509],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965584,0.000104424966,0.000017946679,0.000051784744,0.00012674886,0.000043162516],"domain_scores_gemma":[0.9994103,0.00024833065,0.00006826859,0.00014279156,0.00009241216,0.0000378492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097144884,0.0006502344,0.00061572564,0.00034845772,0.00023523807,0.0024048977,0.000761468,0.00070550444,0.012335473],"category_scores_gemma":[0.0037964748,0.00021678102,0.00025165567,0.0006261965,0.0004117637,0.0035346178,0.0009208338,0.001037906,0.002212021],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012516721,0.00016407025,0.000870054,0.00012422643,0.00006811404,0.00019417175,0.00014344428,0.07495411,0.0056012473,0.29858935,0.02355232,0.5956138],"study_design_scores_gemma":[0.000050177776,0.00016844412,0.0010016842,0.00013648295,0.000058282338,0.0003625843,0.00014976459,0.21481794,0.0067103165,0.6890654,0.08745469,0.000024144974],"about_ca_topic_score_codex":0.0004030012,"about_ca_topic_score_gemma":0.00073089334,"teacher_disagreement_score":0.012335473,"about_ca_system_score_codex":0.0005281785,"about_ca_system_score_gemma":0.0005592441,"threshold_uncertainty_score":0.041266263},"labels":[],"label_agreement":null},{"id":"W4403587379","doi":"10.1016/j.jbankfin.2024.107319","title":"Options trading, managerial risk-taking, and brand development","year":2024,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science and Technology Council","keywords":"Business; Marketing","score_opus":0.02538118552065248,"score_gpt":0.22540379708604,"score_spread":0.20002261156538753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403587379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932928,0.00036557106,0.00026446357,0.00026803967,0.000006106867,0.0000052818887,0.00001944395,0.0000035913981,0.005774623],"genre_scores_gemma":[0.99914694,0.000096965654,0.00007697494,0.00001772542,0.000009898148,0.0000011564589,0.00001172549,8.31685e-7,0.00063771824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981683,0.000062822044,0.000010691166,0.000023313647,0.000039008326,0.000047348538],"domain_scores_gemma":[0.9916283,0.004103814,0.002601827,0.00025087796,0.00025142694,0.0011637666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010929201,0.00017162308,0.0001626441,0.00048907724,0.00039491185,0.002144801,0.00026434066,0.00095301226,0.0063135778],"category_scores_gemma":[0.009177932,0.00014130285,0.00020083482,0.00034976238,0.00063727656,0.0015873224,0.0005120563,0.0010021854,0.00026359296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014622769,0.002647119,0.90140575,0.00006273531,0.0001420717,0.0006281343,0.0013041343,0.0034950175,0.00478522,0.02321279,0.0007979722,0.060056925],"study_design_scores_gemma":[0.000062928106,0.0005177994,0.91481584,0.000038447266,0.0001379682,0.00043487528,0.0019437079,0.012754749,0.0010348958,0.06702642,0.001188396,0.00004395982],"about_ca_topic_score_codex":0.001193722,"about_ca_topic_score_gemma":0.0025439106,"teacher_disagreement_score":0.0063135778,"about_ca_system_score_codex":0.00045136074,"about_ca_system_score_gemma":0.0002531583,"threshold_uncertainty_score":0.021121085},"labels":[],"label_agreement":null},{"id":"W4403647439","doi":"10.1111/acfi.13353","title":"Ambiguity of tone in annual reports and bank risk taking","year":2024,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Social Science Fund of China; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Tone (literature); Ambiguity; Business; Economics; Actuarial science; Accounting; Econometrics; Computer science; Linguistics","score_opus":0.01537410084349079,"score_gpt":0.2309101236349736,"score_spread":0.21553602279148282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403647439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741745,0.000074720774,0.0005628579,0.00012351251,0.000010684179,0.0000068413315,0.00013792148,0.00001391156,0.0016520743],"genre_scores_gemma":[0.9995591,0.00002841899,0.000121750236,0.000011503464,0.00001830167,0.0000020514797,0.000076961835,0.0000018374166,0.00017987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99683076,0.0009982585,0.0005068777,0.000250344,0.0011132327,0.00030043029],"domain_scores_gemma":[0.79365796,0.06171379,0.12915692,0.0063426783,0.0060861143,0.0030426118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004038183,0.0003145822,0.00032672784,0.0016158035,0.00026797163,0.002926754,0.00032817133,0.00057608105,0.0027100914],"category_scores_gemma":[0.055252776,0.00019433523,0.00022482671,0.0017328565,0.0006471126,0.0011974148,0.0010112147,0.00076829334,0.0005275267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022521659,0.00009621821,0.9851135,0.000030079347,0.000092020506,0.00018192732,0.0009577918,0.0014186639,0.0010742188,0.00073683023,0.00035563586,0.009717909],"study_design_scores_gemma":[0.000006201216,0.00009367706,0.9927239,0.000024867679,0.00004042309,0.00014449307,0.0009938985,0.0034031102,0.0007543696,0.0012525774,0.00053269404,0.000029888322],"about_ca_topic_score_codex":0.0013695791,"about_ca_topic_score_gemma":0.0012474373,"teacher_disagreement_score":0.004038183,"about_ca_system_score_codex":0.00042142507,"about_ca_system_score_gemma":0.00027744894,"threshold_uncertainty_score":0.021356225},"labels":[],"label_agreement":null},{"id":"W4403734711","doi":"10.3390/jrfm17110479","title":"Market Volatility vs. Economic Growth: The Role of Cognitive Bias","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Monetary economics; Financial economics","score_opus":0.013725855758229221,"score_gpt":0.20051750919102954,"score_spread":0.18679165343280033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403734711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909129,0.00062294566,0.0005726729,0.0005406938,0.00003925182,0.000021083712,0.00026059215,0.00000954195,0.0070203645],"genre_scores_gemma":[0.998909,0.00016523009,0.00016922601,0.00007894697,0.00003255405,0.0000153218,0.00013315475,0.000004505065,0.0004921436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835783,0.0005024127,0.00010163149,0.00025619182,0.00046524103,0.00031673018],"domain_scores_gemma":[0.98008084,0.010772923,0.0060259756,0.0008322887,0.0010109706,0.0012769802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021613808,0.00042433615,0.00040503152,0.0011949372,0.00043491606,0.0024167178,0.0004035856,0.00075499073,0.0026924529],"category_scores_gemma":[0.01574622,0.00013345334,0.00080106844,0.0013960925,0.00075317157,0.0017046634,0.0012093794,0.0013049863,0.0002999882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025079324,0.00021933735,0.98144,0.00004131241,0.000186241,0.00011562158,0.00084395194,0.00078166765,0.00030452062,0.0015127653,0.00035499068,0.013948913],"study_design_scores_gemma":[0.0000066762364,0.00013365061,0.99435586,0.000025445126,0.000067475274,0.000046664725,0.0010822727,0.0019080334,0.00021726056,0.001387947,0.0007507981,0.000017991679],"about_ca_topic_score_codex":0.007887826,"about_ca_topic_score_gemma":0.0064683147,"teacher_disagreement_score":0.007887826,"about_ca_system_score_codex":0.00089561054,"about_ca_system_score_gemma":0.0008812085,"threshold_uncertainty_score":0.01568383},"labels":[],"label_agreement":null},{"id":"W4403762766","doi":"10.1287/mnsc.2022.02061","title":"Securities Markets in Which Some Investors Receive Information About Cash Flow Betas","year":2024,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cash flow; Business; Information flow; Monetary economics; Financial economics; Economics; Finance","score_opus":0.015543011840994969,"score_gpt":0.2103814771535098,"score_spread":0.19483846531251484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403762766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7787829,0.0010161354,0.19035411,0.0029400724,0.00011079571,0.00014806082,0.0012752586,0.00028946286,0.02508321],"genre_scores_gemma":[0.98739827,0.00039341566,0.007308304,0.00008705003,0.00008245898,0.000038717397,0.00022623959,0.000013917926,0.004451505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99901426,0.0002699914,0.000058200712,0.00025832606,0.0001729183,0.00022624187],"domain_scores_gemma":[0.9947488,0.002169121,0.002004579,0.0005142816,0.00028462172,0.00027869482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029556185,0.0008075729,0.0013894949,0.00091022515,0.000757382,0.0040548155,0.0010227925,0.0022602654,0.0061535053],"category_scores_gemma":[0.010612292,0.0005496321,0.0012514753,0.0011089229,0.0016804977,0.005844788,0.0011645305,0.0017355507,0.0005398659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005900865,0.00030714128,0.02675496,0.00021630304,0.00037398524,0.0018013243,0.00044816255,0.14009166,0.008077658,0.7880685,0.0048347027,0.028435618],"study_design_scores_gemma":[0.00022257668,0.00019147735,0.012249522,0.000046336412,0.00013462648,0.0004918626,0.00016881725,0.40526244,0.0024989576,0.5748146,0.003817694,0.000101080994],"about_ca_topic_score_codex":0.002889313,"about_ca_topic_score_gemma":0.002549269,"teacher_disagreement_score":0.0061535053,"about_ca_system_score_codex":0.0011080892,"about_ca_system_score_gemma":0.00095561676,"threshold_uncertainty_score":0.020585477},"labels":[],"label_agreement":null},{"id":"W4403828260","doi":"10.3390/jrfm17110486","title":"The Influence of Personality Traits on Stock Investment Retention: Insights from Thai Investors","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Markedsmodningsfonden; American Society of Clinical Oncology","keywords":"Big Five personality traits; Stock (firearms); Personality; Business; Monetary economics; Psychology; Economics; Social psychology; Materials science","score_opus":0.020468741214520927,"score_gpt":0.20688006274136175,"score_spread":0.1864113215268408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403828260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995585,0.000019633539,0.000041050593,0.000023563842,8.031607e-7,0.0000016887818,0.000010784291,2.6160518e-7,0.0003437067],"genre_scores_gemma":[0.9997701,0.000034863213,0.00004015706,0.000008668677,0.0000013778375,0.0000017017934,0.000016143857,2.3686948e-7,0.00012671223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997811,0.00008799909,0.000015882213,0.00001684786,0.00004771223,0.000050541246],"domain_scores_gemma":[0.9975405,0.0011545187,0.0006587289,0.00006997146,0.00018557989,0.00039071226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000711292,0.00014159743,0.00012087488,0.0003558029,0.00035580425,0.0008160166,0.000091212445,0.00020185941,0.0011358833],"category_scores_gemma":[0.0028450587,0.0000976828,0.00022518907,0.00039253934,0.00024861356,0.0003241465,0.00040258904,0.00037356035,0.00009808818],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054379212,0.000090903966,0.986759,0.000013488261,0.000019742742,0.00019752923,0.0044316915,0.00009569715,0.00035348668,0.000082296036,0.00006189612,0.007839887],"study_design_scores_gemma":[0.0000024230394,0.00009429807,0.9920731,0.000013267624,0.000019094085,0.00013134346,0.0062844707,0.00093673123,0.000111733825,0.000119117336,0.00020850432,0.000005905242],"about_ca_topic_score_codex":0.0045726444,"about_ca_topic_score_gemma":0.008552911,"teacher_disagreement_score":0.0045726444,"about_ca_system_score_codex":0.00021247388,"about_ca_system_score_gemma":0.00031232744,"threshold_uncertainty_score":0.009092033},"labels":[],"label_agreement":null},{"id":"W4404032368","doi":"10.1016/j.finmar.2024.100946","title":"An ETF-based measure of stock price fragility","year":2024,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Fragility; Economics; Measure (data warehouse); Financial economics; Stock (firearms); Econometrics; Chemistry; Computer science; Geography","score_opus":0.026318630087670897,"score_gpt":0.23746123315892775,"score_spread":0.21114260307125685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404032368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8188889,0.0015973961,0.1524196,0.0007426563,0.00023000297,0.00012954582,0.00817517,0.000689274,0.017127486],"genre_scores_gemma":[0.98502743,0.00024467468,0.010661924,0.000072192146,0.0001931415,0.000039847688,0.0020714162,0.000022883956,0.0016664033],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991948,0.00012575882,0.00009521025,0.0001296222,0.00036810077,0.0000865982],"domain_scores_gemma":[0.9945943,0.0021337678,0.0014523735,0.00049538567,0.0010630088,0.00026108552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015690738,0.0005388619,0.0004966342,0.0057483986,0.00028903544,0.0015951107,0.00066443783,0.0011636518,0.0043454883],"category_scores_gemma":[0.0107866945,0.000161063,0.00051436055,0.0025075283,0.00044045108,0.002728926,0.00070743635,0.0007675707,0.0008040522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008842051,0.00054885447,0.5302546,0.0002683511,0.0008007906,0.0007589224,0.00018787246,0.12977129,0.029909046,0.039280456,0.0079964325,0.25933918],"study_design_scores_gemma":[0.00004379133,0.0004039045,0.40679476,0.00009088931,0.00013537354,0.0013705532,0.00015628098,0.55658066,0.0076532243,0.021701703,0.004915443,0.00015351949],"about_ca_topic_score_codex":0.00161178,"about_ca_topic_score_gemma":0.0013311051,"teacher_disagreement_score":0.0057483986,"about_ca_system_score_codex":0.0006579947,"about_ca_system_score_gemma":0.00030799754,"threshold_uncertainty_score":0.014537096},"labels":[],"label_agreement":null},{"id":"W4404135788","doi":"10.3390/jrfm17110501","title":"Algorithm-Based Low-Frequency Trading Using a Stochastic Oscillator, Williams%R, and Trading Volume for the S&amp;P 500","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"High-frequency trading; Volume (thermodynamics); Algorithmic trading; Economics; Financial economics; Physics; Thermodynamics","score_opus":0.025677931457634518,"score_gpt":0.2254410280639176,"score_spread":0.19976309660628308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404135788","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33669516,0.00060714997,0.6552508,0.0007232046,0.00007413387,0.00010826648,0.00029934788,0.0015570099,0.0046849805],"genre_scores_gemma":[0.848002,0.00017656288,0.14878953,0.00017416934,0.00006314563,0.00010934157,0.0005784947,0.00011748698,0.0019892908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993211,0.0002214204,0.00004604104,0.00018935496,0.00016015726,0.000062042855],"domain_scores_gemma":[0.9956676,0.0031183274,0.00038829865,0.00038072528,0.00034918345,0.00009592496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024743374,0.0007219239,0.00078742206,0.0009911852,0.00031664452,0.0018300487,0.001816644,0.0012453764,0.0013354988],"category_scores_gemma":[0.0112255225,0.0004117042,0.00066256954,0.0007207313,0.0007418095,0.0021486261,0.00092463614,0.0012848403,0.0003194502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010179352,0.00007404103,0.0044023287,0.00003226815,0.000050965024,0.000059675705,0.00003830367,0.9487948,0.0010719687,0.0120524,0.00077325746,0.03254825],"study_design_scores_gemma":[0.0000065698687,0.000012348415,0.00014257527,0.0000019276183,0.0000026371574,0.000008776611,0.0000014833064,0.9976587,0.00018824355,0.0018502498,0.00012319356,0.000003251812],"about_ca_topic_score_codex":0.005996588,"about_ca_topic_score_gemma":0.006030663,"teacher_disagreement_score":0.005996588,"about_ca_system_score_codex":0.0009996874,"about_ca_system_score_gemma":0.001447326,"threshold_uncertainty_score":0.013085723},"labels":[],"label_agreement":null},{"id":"W4404136109","doi":"10.1016/j.jbankfin.2024.107332","title":"Factor momentum versus price momentum: Insights from international markets","year":2024,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Narodowe Centrum Nauki","keywords":"Momentum (technical analysis); Economics; Physics; Econometrics; Financial economics","score_opus":0.02801996336353719,"score_gpt":0.23300552571073777,"score_spread":0.20498556234720058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404136109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7745077,0.014672062,0.01897332,0.0159001,0.00025060872,0.00003423059,0.0005832132,0.00011123485,0.17496751],"genre_scores_gemma":[0.99361837,0.0035561987,0.00052313955,0.0001521002,0.00018415626,0.000003973108,0.00008199043,0.000015950951,0.0018641014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998785,0.000020545453,0.000006708427,0.000023278826,0.0000377813,0.000033143704],"domain_scores_gemma":[0.9981779,0.0011140157,0.00031798048,0.00008375796,0.00019935404,0.00010709036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007044231,0.0004184046,0.0006118217,0.0011261716,0.00043352655,0.004783721,0.00042181206,0.00118966,0.00774184],"category_scores_gemma":[0.0057813786,0.00021576276,0.0004086336,0.0016791512,0.0013050403,0.008288669,0.000904492,0.0016335229,0.00043076073],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053397013,0.00017847847,0.035554066,0.00021590915,0.000085481675,0.001240927,0.0013235641,0.013472481,0.0015429484,0.8325549,0.009841283,0.10345602],"study_design_scores_gemma":[0.00010400089,0.0001291572,0.04578982,0.00018633771,0.00010862796,0.0005753029,0.0027239243,0.050133444,0.0009047856,0.88147074,0.017809516,0.00006436884],"about_ca_topic_score_codex":0.0034817792,"about_ca_topic_score_gemma":0.0026442634,"teacher_disagreement_score":0.00774184,"about_ca_system_score_codex":0.0006070892,"about_ca_system_score_gemma":0.00046356107,"threshold_uncertainty_score":0.025899053},"labels":[],"label_agreement":null},{"id":"W4404321617","doi":"10.1016/j.jbankfin.2024.107333","title":"Do ETFs increase the comovements of their underlying assets? Evidence from a switch in ETF replication technique","year":2024,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Replication (statistics); Business; Computer science; Monetary economics; Economics; Biology; Virology","score_opus":0.07647457469419357,"score_gpt":0.2900843745760854,"score_spread":0.21360979988189183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404321617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99662316,0.00018031802,0.0022409451,0.000112502625,0.0000077486275,0.000012431695,0.000115511975,0.000026209369,0.0006811939],"genre_scores_gemma":[0.99897563,0.00003656392,0.00062540435,0.000016833212,0.000015664204,0.000005955659,0.0001339688,0.0000037150328,0.00018613282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975932,0.000926085,0.00023635724,0.0005648963,0.0004737315,0.00020569433],"domain_scores_gemma":[0.9578904,0.018279111,0.011507658,0.009355036,0.0017113108,0.0012564821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005181173,0.0003523227,0.0006659495,0.0010492516,0.00051582686,0.00196487,0.0007353436,0.0010058954,0.0028168582],"category_scores_gemma":[0.037073936,0.00026975627,0.0007784483,0.0009871484,0.0009801576,0.0017807345,0.0013412623,0.000749939,0.00032891837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022923332,0.00038525587,0.91129005,0.000073728996,0.00068395055,0.0008217667,0.0007769846,0.006894138,0.013789815,0.005405332,0.00058628345,0.0570004],"study_design_scores_gemma":[0.00020368416,0.0007667427,0.9500857,0.000021621348,0.0003076704,0.00076267694,0.00071798783,0.029877044,0.0064173113,0.007692212,0.0030788686,0.00006859544],"about_ca_topic_score_codex":0.0027754994,"about_ca_topic_score_gemma":0.0012869929,"teacher_disagreement_score":0.005181173,"about_ca_system_score_codex":0.00052632455,"about_ca_system_score_gemma":0.0003153551,"threshold_uncertainty_score":0.02740103},"labels":[],"label_agreement":null},{"id":"W4404460384","doi":"10.1080/00036846.2024.2426819","title":"Economic determinants of Ethereum transaction fees in the priority fee and proof of stake periods","year":2024,"lang":"en","type":"article","venue":"Applied Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Database transaction; Economics; Transaction cost; Business; Financial economics; Econometrics; Finance; Computer science; Database","score_opus":0.024869499127864972,"score_gpt":0.22564581477461323,"score_spread":0.20077631564674825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404460384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99465644,0.0002941619,0.0015697882,0.0005653203,0.0000073800597,0.000020970929,0.00033327885,0.000018936913,0.0025337588],"genre_scores_gemma":[0.9988426,0.00007100783,0.00009266034,0.000013105409,0.000007710704,0.0000066276925,0.00016227305,0.0000045683237,0.0007994447],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877733,0.00027542454,0.00008212191,0.000183637,0.00024982326,0.00043167052],"domain_scores_gemma":[0.94668245,0.03420538,0.0141684795,0.0011726706,0.0017087401,0.0020622546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030669793,0.00019228505,0.00058516697,0.0011330281,0.0005000512,0.0030303448,0.0007555467,0.0011772375,0.008262801],"category_scores_gemma":[0.031529862,0.0002953173,0.00053700065,0.0011852923,0.0016005588,0.0041863867,0.0012636133,0.002849716,0.00070119073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017155383,0.00076358346,0.75796336,0.00013065517,0.00020831596,0.0013768249,0.00085703685,0.14143929,0.0028190957,0.06404382,0.0031126186,0.025569834],"study_design_scores_gemma":[0.00012055608,0.00043863413,0.690236,0.000060829618,0.00015161639,0.00041668248,0.0019781417,0.27191243,0.0020848368,0.02931141,0.0031598047,0.00012910599],"about_ca_topic_score_codex":0.011664758,"about_ca_topic_score_gemma":0.009107602,"teacher_disagreement_score":0.011664758,"about_ca_system_score_codex":0.0019114708,"about_ca_system_score_gemma":0.0009192698,"threshold_uncertainty_score":0.027641892},"labels":[],"label_agreement":null},{"id":"W4404627411","doi":"10.15549/jeecar.v11i6.1834","title":"Emerging insights: Unveiling market efficiency in Mongolia's transforming economy","year":2024,"lang":"en","type":"article","venue":"Journal of Eastern European and Central Asian Research (JEECAR)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Random walk hypothesis; Efficient-market hypothesis; Inefficiency; Economics; Random walk; Econometrics; Financial economics; Capital market; Trading strategy; Technical analysis; Stock (firearms); Autocorrelation; Stock exchange; Stock market; Robustness (evolution); Microeconomics; Statistics; Mathematics; Finance; Engineering","score_opus":0.03894257704744381,"score_gpt":0.2656231089773758,"score_spread":0.22668053192993198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404627411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897315,0.00062417134,0.003910771,0.00089150737,0.000010432964,0.000008390089,0.00009525181,0.000010810879,0.0047171507],"genre_scores_gemma":[0.999358,0.00009429876,0.00031234,0.000017968474,0.0000058629184,0.0000011973243,0.000025209883,0.0000013114067,0.00018390943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998336,0.00005247705,0.00001191228,0.00003598158,0.00002769556,0.000038416507],"domain_scores_gemma":[0.9990503,0.00039961358,0.00028080127,0.00006902093,0.00014678408,0.000053446645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009951082,0.00017501446,0.00024056969,0.0010463399,0.00030812353,0.0020329615,0.00028117598,0.00030739853,0.0014884291],"category_scores_gemma":[0.0028704787,0.000087109045,0.00020017794,0.0006051043,0.0006522621,0.0021860944,0.00056489784,0.00034269196,0.00006582791],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002544728,0.000117118725,0.6522639,0.0003265611,0.0003099757,0.0015234769,0.007856743,0.025957199,0.0050863167,0.21256086,0.0028023648,0.09094104],"study_design_scores_gemma":[0.00003597755,0.00021107326,0.68030983,0.00018305582,0.00016455373,0.0004894527,0.01682623,0.16786854,0.0024231363,0.11878588,0.01263824,0.00006402289],"about_ca_topic_score_codex":0.009596536,"about_ca_topic_score_gemma":0.00652368,"teacher_disagreement_score":0.009596536,"about_ca_system_score_codex":0.0010403442,"about_ca_system_score_gemma":0.00062200014,"threshold_uncertainty_score":0.019081354},"labels":[],"label_agreement":null},{"id":"W4404638939","doi":"10.3390/jrfm17120530","title":"Evaluation of the Resilience of Real Estate and Property Stocks to Inflation and Interest Rate Uncertainty: Implementation of Two Asset Pricing Models","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Economics; Financial economics; Capitalization rate; Interest rate; Capital asset pricing model; Real estate investment trust; Econometrics; Portfolio; Stock (firearms); Risk-free interest rate; Monetary economics; Finance","score_opus":0.04439986405297503,"score_gpt":0.2877443122540872,"score_spread":0.24334444820111217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404638939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9495896,0.0003334964,0.044289548,0.00040481304,0.000040477502,0.000073935335,0.000098622244,0.00012265242,0.0050468375],"genre_scores_gemma":[0.99136996,0.00010627348,0.007977676,0.000018095814,0.000009774562,0.0000265816,0.000058329388,0.000009248539,0.00042391685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993519,0.00032015383,0.0000420178,0.000097850025,0.000094975716,0.00009304142],"domain_scores_gemma":[0.9960258,0.002829779,0.000369814,0.00017093627,0.00046984016,0.00013384277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030443277,0.0006263881,0.0008518128,0.00094082195,0.00028938978,0.002121622,0.0010616422,0.0010927899,0.0015574241],"category_scores_gemma":[0.007470685,0.00028614636,0.0011517851,0.0006646465,0.0003703022,0.0016182932,0.00072130427,0.0008345764,0.00012810552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032103283,0.00042528333,0.03901243,0.00008842204,0.0002631181,0.00024103503,0.00021802381,0.9214647,0.0010527926,0.010525734,0.00047942853,0.025907988],"study_design_scores_gemma":[0.000009951231,0.000070091315,0.0026979889,0.0000062018835,0.00003173676,0.000015283114,0.000052266074,0.9957769,0.00018812873,0.0010589539,0.000085094296,0.000007387823],"about_ca_topic_score_codex":0.013981371,"about_ca_topic_score_gemma":0.0051836288,"teacher_disagreement_score":0.013981371,"about_ca_system_score_codex":0.0010571998,"about_ca_system_score_gemma":0.0010888387,"threshold_uncertainty_score":0.027799964},"labels":[],"label_agreement":null},{"id":"W4404693218","doi":"10.3390/jrfm17120533","title":"The Impact of Rebalancing Strategies on ETF Portfolio Performance","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sharpe ratio; Portfolio; Econometrics; Bond; Hedge fund; Asset (computer security); Financial economics; Economics; Real estate; Asset allocation; Treasury; Monetary economics; Business; Finance; Computer science","score_opus":0.011628442851117535,"score_gpt":0.223088207302967,"score_spread":0.21145976445184947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404693218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947753,0.00031209807,0.0037252945,0.00003894871,0.0000079091005,0.000017336688,0.000044176566,0.000049520066,0.001029313],"genre_scores_gemma":[0.9978771,0.00008959732,0.001759848,0.000012430646,0.0000042504616,0.000006489826,0.00005397845,0.000005220843,0.00019106349],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99899334,0.00032005817,0.000103673985,0.00015999116,0.00025572785,0.00016721277],"domain_scores_gemma":[0.9934633,0.0037465796,0.0013925615,0.00063083135,0.0005085961,0.00025814713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032253542,0.000745404,0.00041497228,0.0012223136,0.0001800723,0.0014394302,0.00051676016,0.00062824995,0.0008345457],"category_scores_gemma":[0.011261236,0.00014831556,0.0003448356,0.00063892984,0.0003003299,0.0015901779,0.0005462882,0.0004528286,0.00014841063],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012955014,0.00084132183,0.13970545,0.00015501224,0.000516181,0.0006927243,0.00015325862,0.64907783,0.03452419,0.003238352,0.00042447296,0.16937564],"study_design_scores_gemma":[0.00014644543,0.005134834,0.10596435,0.00006944164,0.00033219138,0.0006394125,0.00038820738,0.83888125,0.043236606,0.0030180486,0.0021090445,0.00008019253],"about_ca_topic_score_codex":0.00097045075,"about_ca_topic_score_gemma":0.0008919176,"teacher_disagreement_score":0.0032253542,"about_ca_system_score_codex":0.0004461514,"about_ca_system_score_gemma":0.00031790437,"threshold_uncertainty_score":0.017057538},"labels":[],"label_agreement":null},{"id":"W4404977180","doi":"10.1007/978-3-031-68974-1_16","title":"Profiting Off the High Correlation of Cryptocurrency Pairs Using Statistical Arbitrage","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in operations research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Cryptocurrency; Statistical arbitrage; Econometrics; Correlation; Statistics; Mathematics; Economics; Financial economics; Computer science; Risk arbitrage; Capital asset pricing model; Computer security; Arbitrage pricing theory","score_opus":0.0907408321600931,"score_gpt":0.32429431849557466,"score_spread":0.23355348633548156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404977180","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11657391,0.0003171336,0.8755507,0.00032594512,0.000091013855,0.00003567105,0.000035381712,0.00050863903,0.0065616868],"genre_scores_gemma":[0.840151,0.00024425233,0.15312628,0.000115011244,0.00012076846,0.00004210643,0.00011922494,0.0001843861,0.005896831],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994192,0.0001799711,0.000031838816,0.000105142026,0.00017932196,0.00008457226],"domain_scores_gemma":[0.9975024,0.0014555841,0.00017673048,0.00057006656,0.00017057123,0.00012472428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014295147,0.0007002919,0.0011191885,0.0006049451,0.00049850735,0.0015083359,0.0007080086,0.00092650537,0.0031488726],"category_scores_gemma":[0.0062260404,0.00051973993,0.00077381695,0.0010877708,0.00106499,0.0037650524,0.002273731,0.0016433094,0.0007696409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012366856,0.00024878478,0.004470192,0.00025549938,0.0002866572,0.0010448855,0.0003033909,0.15426877,0.06624003,0.3766454,0.0061764405,0.38882327],"study_design_scores_gemma":[0.00004772605,0.00015237594,0.000573346,0.000012004617,0.000042635256,0.00029334982,0.0000347943,0.82973236,0.009930954,0.15789768,0.0012631855,0.00001968773],"about_ca_topic_score_codex":0.00019691052,"about_ca_topic_score_gemma":0.0003519504,"teacher_disagreement_score":0.0031488726,"about_ca_system_score_codex":0.00033698688,"about_ca_system_score_gemma":0.00070851855,"threshold_uncertainty_score":0.010534048},"labels":[],"label_agreement":null},{"id":"W4404991367","doi":"10.1016/j.jbankfin.2024.107357","title":"Optimal delegation contract with portfolio risk","year":2024,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"Natural Science Foundation of Jiangxi Province; National Social Science Fund of China; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Delegation; Portfolio; Business; Actuarial science; Finance; Economics; Management","score_opus":0.014207398894074203,"score_gpt":0.21105946845359344,"score_spread":0.19685206955951923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404991367","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36083502,0.00059296686,0.598023,0.0020724928,0.00012645495,0.00030289032,0.00020352284,0.000294674,0.037548937],"genre_scores_gemma":[0.9727088,0.00010373327,0.022320407,0.00007134407,0.000025538979,0.00008271915,0.000026216974,0.000028661223,0.0046325456],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959604,0.0017804329,0.00026703626,0.00064923277,0.00070541294,0.0006375826],"domain_scores_gemma":[0.9901704,0.0044433055,0.0016731671,0.0015911701,0.0008684218,0.001253535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056442604,0.00079465087,0.0011925249,0.0004180442,0.00059206376,0.0024634628,0.0011785979,0.0019230839,0.0044924556],"category_scores_gemma":[0.023580216,0.00048622827,0.000497241,0.0003505669,0.0018573462,0.0037754222,0.0022038112,0.0018736877,0.0005745389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001190962,0.0004895636,0.0031913694,0.00017035722,0.00009494598,0.0005991019,0.0004776791,0.4278068,0.0070409,0.49483427,0.0031541663,0.06094993],"study_design_scores_gemma":[0.00019016626,0.00029192006,0.0009142412,0.00004215353,0.00002364955,0.00018136865,0.00011219329,0.78560245,0.0015464928,0.20897095,0.0020791253,0.00004534402],"about_ca_topic_score_codex":0.001680417,"about_ca_topic_score_gemma":0.0007370176,"teacher_disagreement_score":0.0056442604,"about_ca_system_score_codex":0.002077561,"about_ca_system_score_gemma":0.002785993,"threshold_uncertainty_score":0.029850066},"labels":[],"label_agreement":null},{"id":"W4405024855","doi":"10.1016/j.frl.2024.106531","title":"Do risk preferences drive momentum in cryptocurrencies?","year":2024,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cryptocurrency; Economics; Econometrics; Monetary economics; Financial economics; Medicine; Computer science; Computer security","score_opus":0.08486110024698836,"score_gpt":0.307682199586868,"score_spread":0.22282109933987965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405024855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99406177,0.00039658355,0.0008543475,0.0006050514,0.000016040325,0.00000912568,0.00015926364,0.000015008041,0.0038827625],"genre_scores_gemma":[0.9990194,0.00010195773,0.000116054805,0.000047757152,0.000015618067,0.000002117537,0.00008220836,0.000004266502,0.0006105822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974626,0.000059368722,0.000018284893,0.00006147609,0.00004212825,0.000072619194],"domain_scores_gemma":[0.9944418,0.0023475036,0.0021944626,0.00028492493,0.0002321791,0.0004990964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007781223,0.00020452232,0.0002733357,0.0006297742,0.0002751495,0.0025631313,0.00021810601,0.0005892554,0.0069311187],"category_scores_gemma":[0.011100066,0.00013492546,0.00024166674,0.00051149575,0.00046122365,0.0014671799,0.00043022048,0.0006731713,0.0008690068],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039794037,0.00019041146,0.9607282,0.00004172072,0.000099265606,0.00035587355,0.000591779,0.0012036999,0.001558959,0.0052071717,0.0014887251,0.02813623],"study_design_scores_gemma":[0.000047464873,0.00012684149,0.969728,0.000040555016,0.0000734938,0.0002770296,0.001358368,0.01071137,0.0007668428,0.014159446,0.0026835308,0.000026980653],"about_ca_topic_score_codex":0.0035123643,"about_ca_topic_score_gemma":0.0030032862,"teacher_disagreement_score":0.0069311187,"about_ca_system_score_codex":0.00023215765,"about_ca_system_score_gemma":0.00023087932,"threshold_uncertainty_score":0.023186922},"labels":[],"label_agreement":null},{"id":"W4405046117","doi":"10.1016/j.jbef.2024.101010","title":"Tournament-type utility, absolute cumulative intra-quarter return, institutional feedback trading and return autocorrelation","year":2024,"lang":"en","type":"article","venue":"Journal of Behavioral and Experimental Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Univerzita Karlova v Praze","keywords":"Tournament; Autocorrelation; Quarter (Canadian coin); Absolute return; Economics; Econometrics; Mathematics; Microeconomics; Statistics; Investment performance; Return on investment","score_opus":0.04999252345821475,"score_gpt":0.28425709832909285,"score_spread":0.2342645748708781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405046117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925839,0.000066359935,0.006242435,0.000101430385,0.000006920907,0.000010977164,0.00005829914,0.000032832042,0.0008970236],"genre_scores_gemma":[0.9987949,0.000021746582,0.00047901404,0.000009002175,0.0000048224797,0.0000038376943,0.000049677645,0.0000062176314,0.0006307438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927527,0.00040527145,0.000038070622,0.00010743245,0.00005414416,0.00011973885],"domain_scores_gemma":[0.9510076,0.03874076,0.004519472,0.0023519609,0.0010078334,0.0023724043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060089333,0.0002578178,0.00085445883,0.0008276011,0.0003919054,0.0016322705,0.0010443999,0.00095896085,0.0062357816],"category_scores_gemma":[0.0394289,0.00025292716,0.00044996868,0.0009279674,0.0013369514,0.0015841676,0.0006530505,0.0010986635,0.0002480673],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040737465,0.0025496767,0.6271299,0.00019573497,0.00073558744,0.00062274723,0.0007703304,0.17899592,0.0035724295,0.12238945,0.0037440239,0.055220433],"study_design_scores_gemma":[0.00019249966,0.00058644754,0.18417662,0.000016741136,0.00011387631,0.00027897346,0.00038780045,0.71433187,0.0004563588,0.09905353,0.00033650172,0.00006865201],"about_ca_topic_score_codex":0.0039590686,"about_ca_topic_score_gemma":0.0048327046,"teacher_disagreement_score":0.0062357816,"about_ca_system_score_codex":0.0008405441,"about_ca_system_score_gemma":0.00057304144,"threshold_uncertainty_score":0.031778693},"labels":[],"label_agreement":null},{"id":"W4405070666","doi":"10.1007/s10479-024-06356-z","title":"Inflation differentials and the diversification benefits of small cap equities in emerging markets for US investors","year":2024,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Diversification (marketing strategy); Emerging markets; Financial economics; Theory of computation; Economics; Monetary economics; Business; Finance; Computer science; Marketing","score_opus":0.28226950135851475,"score_gpt":0.3667586931506549,"score_spread":0.08448919179214015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405070666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99637896,0.0003979328,0.00022960451,0.0005805876,0.000008426351,0.0000028916397,0.00005252896,0.0000031139848,0.0023460065],"genre_scores_gemma":[0.99971837,0.000068426874,0.000022003323,0.000019913696,0.000009594361,4.3041774e-7,0.000024399724,4.8109337e-7,0.00013631636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997986,0.00005259115,0.000020526066,0.000028324539,0.000038856204,0.00006117511],"domain_scores_gemma":[0.9958566,0.0016474405,0.001549768,0.00014643544,0.00027515416,0.00052459305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011563732,0.00015157605,0.00024360999,0.00042471476,0.0003503805,0.0012966025,0.00021231044,0.0007134016,0.002752373],"category_scores_gemma":[0.008595029,0.0001297091,0.00027056015,0.00038797568,0.0005602009,0.0016767875,0.0007543241,0.001134095,0.00018467693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025247624,0.0005917344,0.8978647,0.000071821145,0.00024183253,0.0011308329,0.0007473932,0.013350811,0.0037826372,0.02643799,0.0017095475,0.05154601],"study_design_scores_gemma":[0.00014156204,0.00047381612,0.92276305,0.00003778324,0.00016169313,0.0004481656,0.0014928777,0.02075797,0.0011863497,0.05098198,0.0015182893,0.000036541758],"about_ca_topic_score_codex":0.0023022417,"about_ca_topic_score_gemma":0.0036004388,"teacher_disagreement_score":0.002752373,"about_ca_system_score_codex":0.0006666121,"about_ca_system_score_gemma":0.00031615555,"threshold_uncertainty_score":0.009207547},"labels":[],"label_agreement":null},{"id":"W4405095160","doi":"10.48550/arxiv.2412.04063","title":"Understanding the Excess Bond Premium","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Royal Bank of Canada","keywords":"Bond; Economics; Business; Finance","score_opus":0.22969691757470398,"score_gpt":0.18518978077814297,"score_spread":0.044507136796561014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405095160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9426216,0.0053396057,0.015925296,0.0098701315,0.00015410848,0.000019634648,0.0007940803,0.0000944068,0.025181158],"genre_scores_gemma":[0.9962599,0.0012308932,0.000485632,0.00019972843,0.0002363903,0.000005702994,0.00015079585,0.000021101834,0.001409792],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99982953,0.000031646996,0.000008625427,0.000052642605,0.00004012136,0.000037406167],"domain_scores_gemma":[0.9966265,0.0016358518,0.0010684548,0.00013354851,0.0002281988,0.00030749905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093367754,0.00028662634,0.0004143197,0.0012899879,0.0003752908,0.0022331604,0.00037777258,0.0008704454,0.005326728],"category_scores_gemma":[0.009553036,0.00025105054,0.00017546143,0.0009361352,0.0007652015,0.0031691832,0.0008224805,0.0014694121,0.00041811712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037096345,0.00025043127,0.34625053,0.00031824084,0.00024116997,0.0013637857,0.0035986744,0.022980658,0.0078993,0.49048814,0.01529573,0.11094242],"study_design_scores_gemma":[0.00007177934,0.0001286872,0.3668113,0.00013767635,0.00011797205,0.00050270336,0.0017648761,0.09649225,0.0011981755,0.5134161,0.01925375,0.00010463542],"about_ca_topic_score_codex":0.0050492287,"about_ca_topic_score_gemma":0.0026652047,"teacher_disagreement_score":0.005326728,"about_ca_system_score_codex":0.000753853,"about_ca_system_score_gemma":0.00028553998,"threshold_uncertainty_score":0.017819643},"labels":[],"label_agreement":null},{"id":"W4405102625","doi":"10.2139/ssrn.5024951","title":"Rumors and prices","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Business; Economics; Monetary economics","score_opus":0.016187844257059613,"score_gpt":0.21448903271047567,"score_spread":0.19830118845341607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405102625","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3194601,0.03672193,0.13632382,0.07723579,0.0024239144,0.00007570229,0.0010127574,0.00032673293,0.42641923],"genre_scores_gemma":[0.96755564,0.005178134,0.0029836448,0.00060092274,0.0013516933,0.000023471563,0.0000901706,0.000041029165,0.022175258],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990693,0.00046704494,0.000049291288,0.00012544885,0.00022152721,0.00006740687],"domain_scores_gemma":[0.9881258,0.00872963,0.0013330056,0.0009587646,0.00059239863,0.0002605145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001759044,0.00031603503,0.0005177307,0.0011554539,0.00073113956,0.0064851474,0.00035290982,0.002184781,0.014020023],"category_scores_gemma":[0.026080396,0.00039976358,0.0002490273,0.0012245418,0.0024190098,0.00798971,0.00085418567,0.002156722,0.0013980097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065752065,0.000027351414,0.0012900674,0.00006751777,0.000027013819,0.00013822655,0.0003488303,0.0012307251,0.00018593906,0.97276527,0.005255808,0.018597467],"study_design_scores_gemma":[0.000010907532,0.0000070350948,0.00057839596,0.00002164281,0.000007754548,0.00010209568,0.00009770714,0.002923031,0.0000694971,0.9915671,0.0046084975,0.000006325915],"about_ca_topic_score_codex":0.0005422157,"about_ca_topic_score_gemma":0.00031389613,"teacher_disagreement_score":0.014020023,"about_ca_system_score_codex":0.0006985332,"about_ca_system_score_gemma":0.00035458896,"threshold_uncertainty_score":0.046901643},"labels":[],"label_agreement":null},{"id":"W4405185130","doi":"10.1016/j.pacfin.2024.102620","title":"How retail investors affect the stock market?","year":2024,"lang":"en","type":"article","venue":"Pacific-Basin Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council","keywords":"Business; Affect (linguistics); Stock market; Stock (firearms); Monetary economics; Financial system; Financial economics; Economics; Psychology; Geography","score_opus":0.03875985200070602,"score_gpt":0.21615035538423463,"score_spread":0.1773905033835286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405185130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99297863,0.000085204665,0.00060969417,0.00031095347,0.00003699585,0.00006964264,0.000056203586,0.000013055885,0.0058396994],"genre_scores_gemma":[0.9975254,0.000044174074,0.00041792495,0.00022155559,0.000019895897,0.00006614778,0.00002580069,0.000003326654,0.001675909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991072,0.00043256237,0.00003866825,0.0001941141,0.000108964385,0.00011847751],"domain_scores_gemma":[0.997465,0.0011526837,0.00074246735,0.00028414692,0.00009372496,0.00026198672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001253082,0.0001884771,0.00036447347,0.00016423962,0.00033515674,0.0014792123,0.00029909064,0.0011124611,0.006589597],"category_scores_gemma":[0.004024582,0.00014967874,0.00021844651,0.0001097461,0.00065622304,0.0007164277,0.0004442474,0.0005504857,0.0004996117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018403562,0.03268141,0.62838256,0.00052886474,0.00060553773,0.0020221209,0.0071707363,0.0041563837,0.09631494,0.029780926,0.0065808995,0.17337209],"study_design_scores_gemma":[0.002899658,0.018841367,0.87386703,0.00010306119,0.0004988428,0.0007489103,0.008137528,0.017028624,0.023442931,0.028168391,0.026065482,0.00019820298],"about_ca_topic_score_codex":0.0006413024,"about_ca_topic_score_gemma":0.0008662513,"teacher_disagreement_score":0.006589597,"about_ca_system_score_codex":0.00029505105,"about_ca_system_score_gemma":0.00021592678,"threshold_uncertainty_score":0.02204436},"labels":[],"label_agreement":null},{"id":"W4405248084","doi":"10.54695/bmi.158.322","title":"Rebalancing for Long-Term Investors: Why it Pays to Do Less","year":2019,"lang":"en","type":"article","venue":"Bankers Markets & Investors","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transaction cost; Predictability; Portfolio; Term (time); Asset (computer security); Limiting; Economics; Quarter (Canadian coin); Business; Basis point; Asset allocation; Monetary economics; Database transaction; Institutional investor; Econometrics; Financial economics; Bond; Finance; Computer science; Corporate governance","score_opus":0.03574730940065714,"score_gpt":0.23321310321171174,"score_spread":0.1974657938110546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405248084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8103669,0.037798263,0.035824627,0.06649137,0.00068925595,0.00009435537,0.00008872374,0.00044951562,0.048197057],"genre_scores_gemma":[0.9883909,0.0020417692,0.0035919584,0.0024754913,0.00027431874,0.000018540062,0.000021169093,0.000034006986,0.0031518464],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990626,0.00042840434,0.000050138566,0.00009903144,0.00021759851,0.00014221494],"domain_scores_gemma":[0.98783875,0.0062716454,0.0022715228,0.0012206143,0.0009529218,0.0014446301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002605355,0.0002954412,0.0004959251,0.00028135994,0.00039043764,0.001659094,0.0006501442,0.0015180035,0.0074043595],"category_scores_gemma":[0.015674923,0.000108691915,0.00022920973,0.00024777683,0.0010342716,0.0032886737,0.000769935,0.001069833,0.0008703268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016939727,0.001209626,0.038846914,0.0005511687,0.00027725118,0.0005790752,0.0009668761,0.008900538,0.010587063,0.05515185,0.013636621,0.8675991],"study_design_scores_gemma":[0.001132688,0.0077006766,0.15140189,0.0020537653,0.00087636505,0.006679205,0.0066615245,0.06143902,0.017637203,0.620209,0.12393842,0.0002703335],"about_ca_topic_score_codex":0.00078608416,"about_ca_topic_score_gemma":0.0009965374,"teacher_disagreement_score":0.0074043595,"about_ca_system_score_codex":0.00048473768,"about_ca_system_score_gemma":0.0006093918,"threshold_uncertainty_score":0.024770021},"labels":[],"label_agreement":null},{"id":"W4405248309","doi":"10.3390/jrfm17120552","title":"Large Drawdowns and Long-Term Asset Management","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Economics; Econometrics; Investment strategy; Term (time); Financial market; Multivariate statistics; Asset (computer security); Asset allocation; Investment (military); Financial economics; Finance; Computer science; Portfolio; Statistics; Mathematics","score_opus":0.011429637993512737,"score_gpt":0.21391689669796057,"score_spread":0.20248725870444784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405248309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96282434,0.00030634136,0.032493565,0.00058925396,0.00001784388,0.000027591135,0.00010914129,0.00011413915,0.0035178547],"genre_scores_gemma":[0.9993061,0.000058529633,0.00032885314,0.000013833711,0.000005496717,0.0000040092414,0.000023050085,0.0000023559676,0.00025783267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996209,0.00009525194,0.000028720298,0.00008506485,0.000076039156,0.0000940141],"domain_scores_gemma":[0.99185526,0.0040606726,0.0029753696,0.00038484664,0.000289543,0.0004342967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017575962,0.00035426914,0.00035120163,0.0006098999,0.0003209968,0.0014617883,0.00058683415,0.0011950845,0.002019847],"category_scores_gemma":[0.015133486,0.00033589086,0.00031123628,0.00033612584,0.000758695,0.0020111622,0.0009742458,0.0012560782,0.00020356434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069593,0.00039603782,0.38606098,0.00011361719,0.0002721499,0.0014685865,0.0007519815,0.4582118,0.008351156,0.07653608,0.0021645485,0.06497719],"study_design_scores_gemma":[0.000016821208,0.00016913502,0.11562602,0.000029192282,0.00004078685,0.00031533767,0.00017462797,0.8245005,0.001338833,0.057073087,0.0006632781,0.000052485557],"about_ca_topic_score_codex":0.0029164737,"about_ca_topic_score_gemma":0.002939289,"teacher_disagreement_score":0.0029164737,"about_ca_system_score_codex":0.00078435946,"about_ca_system_score_gemma":0.0003384071,"threshold_uncertainty_score":0.009295166},"labels":[],"label_agreement":null},{"id":"W4405257557","doi":"10.3390/jrfm17120555","title":"Reinforcement Learning Pair Trading: A Dynamic Scaling Approach","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Reinforcement learning; Computer science; Algorithmic trading; Trading strategy; Reinforcement; Volatility (finance); Artificial intelligence; Profit (economics); Econometrics; Microeconomics; Economics; Computer security; Financial economics; Engineering","score_opus":0.014543702975952392,"score_gpt":0.20116379097136186,"score_spread":0.18662008799540947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405257557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078577794,0.00047853493,0.9158963,0.00043911094,0.00008425858,0.00017516137,0.00005994816,0.0007168519,0.0035720177],"genre_scores_gemma":[0.9201955,0.00012180799,0.07762583,0.00014060517,0.00004262508,0.00018927806,0.000054135853,0.00004924258,0.0015809254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880266,0.0005373948,0.00005631852,0.0002969713,0.0002036941,0.0001028811],"domain_scores_gemma":[0.99596894,0.0027696013,0.00036377835,0.00026091706,0.000426978,0.00020982676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002571388,0.0009882278,0.0013117747,0.00052912603,0.0004415691,0.00085148244,0.0018604835,0.00095147855,0.0026371214],"category_scores_gemma":[0.0083803935,0.00048088224,0.00063531444,0.00033718883,0.0010148223,0.0013937033,0.0013351795,0.0015060374,0.00033535427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012498692,0.0001862044,0.0020821681,0.00006375397,0.00008589808,0.00009609996,0.00008186203,0.9317519,0.0016467277,0.006617508,0.0005331364,0.056729775],"study_design_scores_gemma":[0.000010018392,0.000037288744,0.000107282,0.0000027998449,0.000005730064,0.000008697523,0.0000045302863,0.9976162,0.00016317634,0.0018769532,0.00016357024,0.0000039047814],"about_ca_topic_score_codex":0.0030258363,"about_ca_topic_score_gemma":0.0022321874,"teacher_disagreement_score":0.0030258363,"about_ca_system_score_codex":0.00095041614,"about_ca_system_score_gemma":0.00089734455,"threshold_uncertainty_score":0.0135989785},"labels":[],"label_agreement":null},{"id":"W4405280657","doi":"10.1111/1911-3846.13002","title":"The impact of the classified voting system on corporate investment and equity value","year":2024,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Xiamen University; Shanghai University of Finance and Economics; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Equity (law); Voting; Business; Financial economics; Investment value; Economics; Finance; Political science; Politics; Law","score_opus":0.197620401793927,"score_gpt":0.3439345160529722,"score_spread":0.1463141142590452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405280657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99562055,0.000042612686,0.000640977,0.000080793514,0.0000057319294,0.000009255158,0.000012450198,0.0000038985654,0.0035837034],"genre_scores_gemma":[0.99980325,0.000004956755,0.0000658493,0.000008452609,0.000001455314,0.0000017560363,0.000003896465,2.611801e-7,0.000110201654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795425,0.0008277742,0.00011462809,0.00020955222,0.0005229603,0.0003707016],"domain_scores_gemma":[0.985601,0.006437807,0.00495424,0.0012449435,0.0011425327,0.00061951415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033972354,0.00012970774,0.0001826703,0.00031994333,0.00030692178,0.001339216,0.0003327435,0.00043749766,0.001540215],"category_scores_gemma":[0.011393999,0.00008248741,0.00020491192,0.00027466827,0.0011741364,0.000562076,0.0005850716,0.00051576196,0.00008524239],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017778777,0.0008966327,0.72126806,0.00015455538,0.00028564484,0.000743619,0.001209448,0.034857657,0.059045102,0.07462917,0.0010776331,0.10405468],"study_design_scores_gemma":[0.00014821165,0.0016637105,0.85439193,0.000056424906,0.00021201141,0.00019564945,0.00142588,0.08623626,0.028079806,0.023115944,0.004379424,0.000094773524],"about_ca_topic_score_codex":0.0035681536,"about_ca_topic_score_gemma":0.004169545,"teacher_disagreement_score":0.0035681536,"about_ca_system_score_codex":0.0013565918,"about_ca_system_score_gemma":0.0010120667,"threshold_uncertainty_score":0.017966568},"labels":[],"label_agreement":null},{"id":"W4405333584","doi":"10.1007/978-981-96-1242-0_18","title":"Correlation Between Macro Economic Variables and Financial Sector Australian Share Market Index","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Index (typography); Macro; Computer science; Financial sector; Correlation; Financial market; Finance; Economics; Mathematics; World Wide Web","score_opus":0.023364464163675446,"score_gpt":0.21456378779764698,"score_spread":0.19119932363397155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405333584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98351353,0.00032740034,0.00057393406,0.00052134536,0.00003405232,0.00001241213,0.002626429,0.000052129093,0.01233881],"genre_scores_gemma":[0.98938227,0.00018593954,0.00011949475,0.00003384325,0.000023049575,0.000008714832,0.001064138,0.00000763978,0.009174974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997087,0.000072247254,0.000025503277,0.00005595916,0.00009673755,0.00004080499],"domain_scores_gemma":[0.9965887,0.0013625226,0.0009077006,0.00023390936,0.00063891336,0.00026826258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045294213,0.00013415919,0.00020760421,0.0009851548,0.00021261835,0.00068231754,0.00026296792,0.00028126608,0.00954536],"category_scores_gemma":[0.003968242,0.00018139163,0.00027284282,0.0019202104,0.00021952849,0.00043959692,0.0004394354,0.00055311463,0.0021203363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059790007,0.000047444886,0.9882464,0.000013341183,0.00006713274,0.00010355467,0.00014151788,0.00073452614,0.00042761565,0.0007263991,0.002239605,0.007192703],"study_design_scores_gemma":[7.763017e-7,0.000020655205,0.9974808,0.0000041660583,0.000016267499,0.000033909648,0.0000688824,0.0012403842,0.00011599317,0.00021336525,0.00080172485,0.000003081562],"about_ca_topic_score_codex":0.019870246,"about_ca_topic_score_gemma":0.023772784,"teacher_disagreement_score":0.019870246,"about_ca_system_score_codex":0.0004284867,"about_ca_system_score_gemma":0.00059317565,"threshold_uncertainty_score":0.039509177},"labels":[],"label_agreement":null},{"id":"W4405334542","doi":"10.1051/shsconf/202420801027","title":"Analyzing Optimal Portfolios of Eleven Assets under Different Constraints","year":2024,"lang":"en","type":"article","venue":"SHS Web of Conferences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Business","score_opus":0.03830142515271927,"score_gpt":0.24925193338746737,"score_spread":0.2109505082347481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405334542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9074846,0.0005636951,0.085292794,0.00019597457,0.000010971449,0.000065172564,0.0003559421,0.00007619211,0.005954732],"genre_scores_gemma":[0.9777565,0.00022776939,0.020688217,0.000024319994,0.0000071827612,0.000057373738,0.00043768625,0.000016982982,0.0007838867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965286,0.00010949852,0.000021806733,0.00005844718,0.00007078615,0.00008663343],"domain_scores_gemma":[0.99870265,0.00092848233,0.00015315972,0.00004821761,0.000102763624,0.00006482247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012297865,0.0006457302,0.0006943948,0.0012952184,0.00023053419,0.0011951016,0.00031840758,0.000630378,0.0018966554],"category_scores_gemma":[0.0043630325,0.00028367096,0.0005214879,0.0007826556,0.00026874535,0.0009318729,0.00035315435,0.0003514882,0.00012792033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015984221,0.00011137468,0.01605171,0.00010237103,0.00010866486,0.000198095,0.000044889024,0.9449256,0.0014659445,0.006268116,0.00074699405,0.029816456],"study_design_scores_gemma":[0.000025342917,0.000091691516,0.0066584847,0.000020217569,0.000038217757,0.000050209186,0.000090714166,0.9867509,0.0011177944,0.0047517363,0.0003929707,0.00001177726],"about_ca_topic_score_codex":0.0041825734,"about_ca_topic_score_gemma":0.0025888411,"teacher_disagreement_score":0.0041825734,"about_ca_system_score_codex":0.0006249984,"about_ca_system_score_gemma":0.00094029366,"threshold_uncertainty_score":0.008316457},"labels":[],"label_agreement":null},{"id":"W4405337976","doi":"10.1016/j.pacfin.2024.102634","title":"COVID-19 and investors' trading behavior: Evidence from the New Zealand equity market","year":2024,"lang":"en","type":"article","venue":"Pacific-Basin Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Equity (law); Business; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economics; Financial economics; Financial system; Medicine; Infectious disease (medical specialty); Political science; Virology","score_opus":0.08810296676195412,"score_gpt":0.28972079124911604,"score_spread":0.20161782448716192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405337976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99103045,0.0005548998,0.00008236522,0.00028366334,0.000009542017,0.000016294129,0.00045341506,0.000004528222,0.0075648786],"genre_scores_gemma":[0.99744654,0.00035260874,0.000055036697,0.000034341083,0.000014166616,0.0000049276387,0.0004899411,0.0000034233487,0.0015990166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946016,0.00008309324,0.000072630544,0.00006428846,0.00024219304,0.000077509714],"domain_scores_gemma":[0.98524725,0.003999129,0.0070894407,0.00074732484,0.0013944561,0.0015223125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015078706,0.00023655924,0.00038165427,0.0012568454,0.00079937075,0.0021866788,0.00053866085,0.0007486544,0.005366128],"category_scores_gemma":[0.014309389,0.0001929753,0.00030004198,0.0019064295,0.0009988515,0.0014905545,0.0008160022,0.00094927324,0.00067885395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075744244,0.0002232815,0.9791683,0.000049104554,0.000104240346,0.0004036125,0.00094247254,0.00025786058,0.0005788395,0.0011112064,0.00082138757,0.015582301],"study_design_scores_gemma":[0.000026824686,0.000056539444,0.99686545,0.000009848508,0.000042262815,0.00009408286,0.00046700976,0.00058080495,0.00015061376,0.00023822844,0.0014566274,0.000011706148],"about_ca_topic_score_codex":0.15760939,"about_ca_topic_score_gemma":0.20928146,"teacher_disagreement_score":0.15760939,"about_ca_system_score_codex":0.0014236233,"about_ca_system_score_gemma":0.0008435176,"threshold_uncertainty_score":0.31338406},"labels":[],"label_agreement":null},{"id":"W4405363647","doi":"10.2139/ssrn.5020002","title":"Order Flow and Cryptocurrency Returns &lt;br&gt;","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Guelph","funders":"","keywords":"Cryptocurrency; Order (exchange); Flow (mathematics); Economics; Mathematics; Computer science; Monetary economics; Mathematical economics; Computer security; Finance; Geometry","score_opus":0.015812407766948606,"score_gpt":0.21909525944236577,"score_spread":0.20328285167541715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405363647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9379222,0.0018966912,0.026908403,0.0026177356,0.00019245478,0.000027425549,0.0011534505,0.00026875312,0.029013043],"genre_scores_gemma":[0.9904653,0.0005347642,0.0008258344,0.00003359856,0.00008606803,0.000004364768,0.0002491927,0.000043128493,0.00775773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99976796,0.000056338824,0.000014019495,0.000033347733,0.0000720184,0.000056285066],"domain_scores_gemma":[0.9929696,0.0040666633,0.0014984149,0.00040889875,0.00056277035,0.0004937034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000971317,0.00026831037,0.00025857775,0.0015919002,0.00034933034,0.0026525662,0.00025469103,0.0007702168,0.018038241],"category_scores_gemma":[0.013765405,0.0002325183,0.00023109448,0.0011293783,0.00080099516,0.003324756,0.0003332969,0.0011399004,0.0019405937],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030787762,0.00062436727,0.122708246,0.00030704838,0.00016174519,0.0009561295,0.00060796365,0.06294912,0.009442188,0.63469744,0.022110548,0.14235647],"study_design_scores_gemma":[0.0001815202,0.00029435044,0.09056044,0.000106906096,0.00011313006,0.0006427213,0.00031896823,0.32867175,0.005964896,0.56519395,0.0078467345,0.00010464926],"about_ca_topic_score_codex":0.002652739,"about_ca_topic_score_gemma":0.0026319504,"teacher_disagreement_score":0.018038241,"about_ca_system_score_codex":0.0010813175,"about_ca_system_score_gemma":0.000463525,"threshold_uncertainty_score":0.06034392},"labels":[],"label_agreement":null},{"id":"W4405365664","doi":"10.2139/ssrn.4996354","title":"The Price of Passive Ownership","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Economics","score_opus":0.019641385032964524,"score_gpt":0.21981235347799952,"score_spread":0.20017096844503499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405365664","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81450903,0.0011800245,0.020992218,0.0068693524,0.0002245789,0.000028582735,0.0004806996,0.00010996682,0.1556056],"genre_scores_gemma":[0.98469603,0.00015518971,0.00032605708,0.000067363566,0.00012940101,0.0000054038524,0.00004757275,0.000011152602,0.014561795],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999694,0.00005247868,0.000016963986,0.00006382999,0.0001257384,0.000047069767],"domain_scores_gemma":[0.9967404,0.0016848771,0.000779582,0.00029518723,0.00026667284,0.00023335582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006694187,0.0002094517,0.00034341816,0.00035106472,0.00039889204,0.0037179075,0.0004923088,0.0017398678,0.01658165],"category_scores_gemma":[0.0068186605,0.00024583034,0.00023643972,0.0003683218,0.0011888139,0.0049321568,0.00057533453,0.0016786772,0.0008884282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002087208,0.00008218552,0.0039775427,0.000058243702,0.000020511941,0.00030256013,0.000275497,0.0013951566,0.003240361,0.9719036,0.0027833872,0.015752248],"study_design_scores_gemma":[0.000086146465,0.00020854754,0.016904986,0.000054162934,0.000034350916,0.000748304,0.00040472086,0.019862898,0.0031072071,0.9465817,0.011965325,0.000041775867],"about_ca_topic_score_codex":0.00043162573,"about_ca_topic_score_gemma":0.0003940999,"teacher_disagreement_score":0.01658165,"about_ca_system_score_codex":0.0008345994,"about_ca_system_score_gemma":0.00025134106,"threshold_uncertainty_score":0.055471182},"labels":[],"label_agreement":null},{"id":"W4405388634","doi":"10.1093/jjfinec/nbae029","title":"Identifying and Exploiting Alpha in Linear Asset Pricing Models with Strong, Semi-Strong, and Latent Factors","year":2024,"lang":"en","type":"article","venue":"Journal of Financial Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Estimator; Sharpe ratio; Econometrics; Factor analysis; Mathematics; Capital asset pricing model; Systematic risk; Sample size determination; Contrast (vision); Monte Carlo method; Statistics; Zero (linguistics); Applied mathematics; Economics; Computer science; Financial economics","score_opus":0.08111063773399309,"score_gpt":0.24822250351453382,"score_spread":0.1671118657805407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405388634","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24578927,0.00027115794,0.75249547,0.0002720568,0.000016670248,0.000037131336,0.00004388739,0.00014761399,0.0009267457],"genre_scores_gemma":[0.95564264,0.00017247675,0.04321388,0.000033856384,0.000036918635,0.000036271264,0.000052856278,0.000017484692,0.0007937013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99707806,0.0020446002,0.00012882859,0.0002841722,0.0002801058,0.00018415622],"domain_scores_gemma":[0.93862575,0.05386925,0.003642103,0.002228549,0.001136598,0.00049770105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015139492,0.0009063943,0.0010234996,0.0010767104,0.00040539095,0.0020582215,0.0010464854,0.0010817508,0.0010017377],"category_scores_gemma":[0.05566494,0.0009835871,0.0008847826,0.0009567906,0.0019020394,0.0024152948,0.0019828782,0.0016824917,0.00021926784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028381374,0.0001798351,0.04139286,0.00012085435,0.00033041806,0.00045833486,0.00041650402,0.7904107,0.002327722,0.108578466,0.0005595995,0.054940876],"study_design_scores_gemma":[0.00001252431,0.000045582,0.0013689222,0.000008899412,0.000018868628,0.000036605637,0.000021504164,0.9699313,0.00029389106,0.028160444,0.000091077236,0.000010367977],"about_ca_topic_score_codex":0.002717318,"about_ca_topic_score_gemma":0.001997535,"teacher_disagreement_score":0.015139492,"about_ca_system_score_codex":0.0006686721,"about_ca_system_score_gemma":0.0010207279,"threshold_uncertainty_score":0.08006626},"labels":[],"label_agreement":null},{"id":"W4405424795","doi":"10.2139/ssrn.5059380","title":"Bias Correcting Summary Statistics for Alphas","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Statistics; Summary statistics; Econometrics; Mathematics","score_opus":0.04718339979674671,"score_gpt":0.2576845574681075,"score_spread":0.21050115767136077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405424795","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043194257,0.008403642,0.89342076,0.0020480198,0.0034278343,0.00081490166,0.03227932,0.008489988,0.007921268],"genre_scores_gemma":[0.5993008,0.0025362442,0.34500504,0.0024002008,0.0038338313,0.003608527,0.027002832,0.0025375288,0.0137750795],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9164251,0.047742672,0.008470148,0.016220096,0.009388573,0.0017533699],"domain_scores_gemma":[0.35462433,0.535771,0.02250172,0.075299375,0.010908027,0.0008955962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06079298,0.0016307072,0.0034205364,0.0075409547,0.0011532761,0.0040243715,0.0031724686,0.0046630376,0.028363116],"category_scores_gemma":[0.4461342,0.00092679844,0.0038242529,0.009206626,0.002016544,0.0031471038,0.0014495288,0.0039345343,0.0075812866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002342644,0.00041560523,0.08665248,0.005499898,0.011044584,0.0014309223,0.0010960021,0.018081699,0.0043239794,0.09045577,0.1452799,0.63337654],"study_design_scores_gemma":[0.0013042853,0.0023102334,0.15934634,0.0030743342,0.008449672,0.0055255173,0.00096711336,0.14872192,0.016868833,0.49041063,0.16235046,0.00067070784],"about_ca_topic_score_codex":0.001134804,"about_ca_topic_score_gemma":0.0012616843,"teacher_disagreement_score":0.06079298,"about_ca_system_score_codex":0.0009232418,"about_ca_system_score_gemma":0.00176267,"threshold_uncertainty_score":0.32150787},"labels":[],"label_agreement":null},{"id":"W4405429885","doi":"10.2139/ssrn.5018430","title":"Intraday Option Return: A Tale of Two Momentum","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Momentum (technical analysis); Economics; Financial economics","score_opus":0.01614320769346623,"score_gpt":0.2294203316014106,"score_spread":0.21327712390794437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405429885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23698601,0.024984475,0.28878665,0.20160979,0.0072623002,0.00010798543,0.00067474874,0.001337311,0.23825076],"genre_scores_gemma":[0.90221983,0.006732918,0.040970337,0.0053436705,0.0058274213,0.00006965686,0.00017391634,0.0004762223,0.038185988],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986523,0.00031228556,0.00007979089,0.00033493896,0.0004896532,0.00013107168],"domain_scores_gemma":[0.9920827,0.0040081753,0.0006579951,0.0013765605,0.0010123131,0.00086216355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048714816,0.0008221638,0.0009840885,0.0015622718,0.0012954652,0.011898759,0.0011879569,0.005041217,0.010731249],"category_scores_gemma":[0.025981419,0.0005675439,0.00061909505,0.0010081097,0.005454311,0.022525018,0.0044330996,0.0069558565,0.001567091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027199512,0.00006863426,0.0026468579,0.00007260916,0.00005045641,0.00048760738,0.00061373424,0.0023352546,0.002950596,0.91496444,0.0093251355,0.06621281],"study_design_scores_gemma":[0.00003101855,0.00008085743,0.002614819,0.00008933832,0.000025193143,0.0003975692,0.00028947243,0.018042242,0.00097063766,0.9569799,0.020393452,0.00008558699],"about_ca_topic_score_codex":0.00054692826,"about_ca_topic_score_gemma":0.0003276402,"teacher_disagreement_score":0.011898759,"about_ca_system_score_codex":0.0012344057,"about_ca_system_score_gemma":0.0009870068,"threshold_uncertainty_score":0.03589958},"labels":[],"label_agreement":null},{"id":"W4405430129","doi":"10.2139/ssrn.5056328","title":"&lt;p&gt;&lt;b&gt;Risk Premiums in the Cryptocurrency Market&lt;/b&gt;&lt;/p&gt;","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cryptocurrency; Internal medicine; Economics; Medicine; Computer science; Computer security","score_opus":0.01458708207254572,"score_gpt":0.22025095355654964,"score_spread":0.20566387148400392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405430129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86076784,0.005197345,0.04536257,0.035803456,0.0006600915,0.00004589544,0.0014882004,0.00079651206,0.04987805],"genre_scores_gemma":[0.97675073,0.0018710387,0.0012187139,0.00040107808,0.00041035094,0.000016792312,0.00032336081,0.00014592984,0.018862033],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997569,0.00007436564,0.000014511782,0.00005406904,0.00004317322,0.000057011646],"domain_scores_gemma":[0.9952246,0.003092284,0.0007595166,0.00019617073,0.00023210495,0.0004953804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013713738,0.0005077943,0.0010115096,0.0011463042,0.00064211583,0.0030899283,0.0005533432,0.0021720156,0.021233346],"category_scores_gemma":[0.00851693,0.00045040488,0.0005579064,0.0011229407,0.0013237793,0.0042261197,0.00081664935,0.002639258,0.0014222655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005383197,0.00029096514,0.024399143,0.0003032211,0.00014872898,0.0010575769,0.000621453,0.023212919,0.0056981933,0.83527815,0.054908007,0.053543318],"study_design_scores_gemma":[0.00017100046,0.000087884175,0.020435039,0.00007048369,0.00010539083,0.00024330689,0.00030884703,0.13119523,0.00197774,0.8394674,0.005861326,0.000076419274],"about_ca_topic_score_codex":0.009695594,"about_ca_topic_score_gemma":0.006130917,"teacher_disagreement_score":0.021233346,"about_ca_system_score_codex":0.0016899373,"about_ca_system_score_gemma":0.0006018632,"threshold_uncertainty_score":0.07103264},"labels":[],"label_agreement":null},{"id":"W4405437568","doi":"10.1016/j.jeconom.2024.105915","title":"Identification-robust and simultaneous inference in multifactor asset pricing models","year":2024,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Université Laval","funders":"","keywords":"Econometrics; Identification (biology); Inference; Capital asset pricing model; Computer science; Arbitrage pricing theory; Economics; Artificial intelligence","score_opus":0.14554910310805033,"score_gpt":0.25461102549612785,"score_spread":0.10906192238807752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405437568","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031205382,0.00047411188,0.9666734,0.000548496,0.000062574865,0.000025020172,0.00008512234,0.00032506333,0.00060074474],"genre_scores_gemma":[0.7727628,0.00086996885,0.22160558,0.0002528975,0.0003430976,0.00011732663,0.0005476947,0.00019078093,0.0033098436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99546576,0.0024726244,0.0003248361,0.0008695959,0.00051185203,0.00035537398],"domain_scores_gemma":[0.9286147,0.06377604,0.0024699501,0.0030482847,0.0015972158,0.000493877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011954004,0.001218881,0.0028546143,0.00160882,0.00081235735,0.0026213925,0.002662319,0.0025980426,0.0024858543],"category_scores_gemma":[0.07056837,0.0025040694,0.0028676372,0.001525644,0.0014960528,0.0041568475,0.0034500316,0.004225468,0.0004677436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045038707,0.00034139372,0.005635992,0.0003126182,0.0011392288,0.000420175,0.0003904122,0.7759763,0.0031489332,0.11203553,0.0019090378,0.09823991],"study_design_scores_gemma":[0.000027880102,0.000018895356,0.00044223617,0.000008694164,0.000049365128,0.000024003091,0.000013220857,0.95623654,0.00034025902,0.042626295,0.00019743039,0.000015232344],"about_ca_topic_score_codex":0.0095037045,"about_ca_topic_score_gemma":0.007710409,"teacher_disagreement_score":0.011954004,"about_ca_system_score_codex":0.00080739084,"about_ca_system_score_gemma":0.0024720903,"threshold_uncertainty_score":0.06321961},"labels":[],"label_agreement":null},{"id":"W4405624086","doi":"10.1016/j.jbankfin.2024.107373","title":"A factor model for the cross-section of country equity risk premia","year":2024,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Equity (law); Section (typography); Risk premium; Financial economics; Business; Economics; Advertising; Political science","score_opus":0.053336910871740986,"score_gpt":0.28967895108721164,"score_spread":0.23634204021547067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405624086","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047326848,0.00055821025,0.9441511,0.000682215,0.00016246547,0.0001478337,0.0019603763,0.00062648236,0.004384358],"genre_scores_gemma":[0.7807837,0.002097289,0.18848497,0.00032861243,0.0004396427,0.0009257363,0.005741223,0.0002717917,0.020927088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984869,0.0005394423,0.00006166958,0.00049587106,0.00022161946,0.0001944889],"domain_scores_gemma":[0.9966899,0.0017985719,0.0004669215,0.0004437133,0.00047832233,0.0001224762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004701999,0.0016715833,0.0010173052,0.0025173116,0.0006143045,0.0025706454,0.0016539689,0.0012571363,0.008133402],"category_scores_gemma":[0.007514762,0.0006272144,0.0021889491,0.002691635,0.001061079,0.0028183039,0.001169004,0.0023367973,0.0026570116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001491478,0.00024091454,0.043656748,0.00013655098,0.000697408,0.0004800461,0.0006223103,0.41261232,0.002078469,0.41543603,0.0128130745,0.11107702],"study_design_scores_gemma":[0.00003741412,0.00011294553,0.010838717,0.00005807875,0.00015716326,0.00020769503,0.00008386678,0.83573616,0.00032464965,0.14573081,0.0066431235,0.00006938771],"about_ca_topic_score_codex":0.014320463,"about_ca_topic_score_gemma":0.008654309,"teacher_disagreement_score":0.014320463,"about_ca_system_score_codex":0.0010052583,"about_ca_system_score_gemma":0.0018625816,"threshold_uncertainty_score":0.028474212},"labels":[],"label_agreement":null},{"id":"W4405736552","doi":"10.17524/repec.v18i4.3346","title":"Value Investing in Brazil: A Novel Application of Benjamin Graham’s Criteria to Generating Abnormal Returns","year":2024,"lang":"en","type":"article","venue":"Revista de Educação e Pesquisa em Contabilidade (REPeC)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Financial economics; Emerging markets; Economics; Asset allocation; Stock exchange; Value (mathematics); Ranking (information retrieval); Stock (firearms); Context (archaeology); Econometrics; Quarter (Canadian coin); Actuarial science; Finance; Computer science; Statistics; Mathematics; Engineering","score_opus":0.024262316537273017,"score_gpt":0.2752775830435407,"score_spread":0.2510152665062677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405736552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5369403,0.0014835597,0.42826435,0.0017998816,0.000121705205,0.00044652107,0.0006569274,0.00041883695,0.029867906],"genre_scores_gemma":[0.89167595,0.00021362302,0.10660811,0.000076436394,0.000033617725,0.00007789166,0.00019154102,0.00003217545,0.0010906728],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9973047,0.0011059623,0.0002066055,0.0002797615,0.00091999397,0.0001829582],"domain_scores_gemma":[0.9940287,0.0032232627,0.0010809733,0.00041274406,0.0010692441,0.00018517488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003722559,0.00066808093,0.0005577275,0.0030336499,0.000525772,0.0020370171,0.00076770893,0.00062788604,0.0010427396],"category_scores_gemma":[0.02472178,0.00014784241,0.0005541634,0.0029887909,0.00079788174,0.0010726674,0.0011378179,0.00054818083,0.00016098408],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032426327,0.0001561896,0.16908577,0.00033961504,0.00019093695,0.0011542402,0.0014976576,0.10100601,0.0080319485,0.085242696,0.005739039,0.62723166],"study_design_scores_gemma":[0.000092627866,0.0006339686,0.13932657,0.0003574409,0.00017322833,0.0012540196,0.0016525297,0.7062959,0.008684455,0.118351884,0.022996077,0.00018132302],"about_ca_topic_score_codex":0.009965592,"about_ca_topic_score_gemma":0.015409517,"teacher_disagreement_score":0.009965592,"about_ca_system_score_codex":0.0012418353,"about_ca_system_score_gemma":0.0020230426,"threshold_uncertainty_score":0.019815207},"labels":[],"label_agreement":null},{"id":"W4405759538","doi":"10.1111/jfir.12447","title":"The efficacy of market timing and value creation","year":2024,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cash flow; Market timing; Equity (law); Monetary economics; Business; Stock (firearms); Economics; Finance; Initial public offering","score_opus":0.08744583914649613,"score_gpt":0.3355089070174155,"score_spread":0.24806306787091936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405759538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928952,0.00009493372,0.0012810347,0.000051354244,0.000004983996,0.000009493186,0.000041622017,0.0000099411955,0.005611414],"genre_scores_gemma":[0.99946254,0.000021833395,0.00026476008,0.0000050744925,0.0000068331146,0.0000027812662,0.00002374932,0.0000017184502,0.00021076089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991596,0.0003498992,0.000083689905,0.000092551956,0.00023191683,0.000082347],"domain_scores_gemma":[0.9642834,0.018869163,0.012734665,0.0012140742,0.0014572697,0.0014414421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022991868,0.00019971009,0.00016858024,0.0011644585,0.00022572174,0.0017265028,0.00029765154,0.00027445782,0.003383222],"category_scores_gemma":[0.026023,0.00011532551,0.00016975307,0.0006183161,0.00051910814,0.0013515912,0.0008057281,0.00034523904,0.00021412078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009049054,0.00039875653,0.9012982,0.00007252307,0.00016190892,0.0001972397,0.00062670093,0.0045429985,0.007641029,0.0126471985,0.00030976953,0.07119873],"study_design_scores_gemma":[0.00003782605,0.00065399177,0.9642821,0.000035582914,0.0000762172,0.0003616595,0.00059664913,0.014514777,0.0052883564,0.0125688985,0.0015487964,0.000035338748],"about_ca_topic_score_codex":0.00062024023,"about_ca_topic_score_gemma":0.00040507302,"teacher_disagreement_score":0.003383222,"about_ca_system_score_codex":0.0004078998,"about_ca_system_score_gemma":0.00031377946,"threshold_uncertainty_score":0.012159407},"labels":[],"label_agreement":null},{"id":"W4405764274","doi":"10.1111/jofi.13407","title":"Intermediary Leverage Shocks and Funding Conditions","year":2024,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Leverage (statistics); Market liquidity; Monetary economics; Demand shock; Supply shock; Financial intermediary; Business; Economics; Finance; Monetary policy","score_opus":0.034913124322501536,"score_gpt":0.2409269881584469,"score_spread":0.20601386383594536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405764274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97250956,0.0005731426,0.002347667,0.0013506431,0.000020762987,0.000029510775,0.0006158835,0.00008235574,0.022470454],"genre_scores_gemma":[0.9993581,0.000064913154,0.000039532322,0.00002127206,0.000018859342,0.000003946424,0.000083913226,0.0000026817274,0.0004068301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993198,0.0001004872,0.000088374276,0.00009468102,0.00013433151,0.0002623177],"domain_scores_gemma":[0.99223244,0.0017998158,0.0040211035,0.0003546522,0.00048203752,0.0011098807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009687191,0.0002062639,0.00053597183,0.00097038684,0.0004962372,0.0036603382,0.0003919222,0.001367641,0.014949367],"category_scores_gemma":[0.011581309,0.00018219523,0.00021852046,0.0008316205,0.0010665287,0.0024474685,0.0017595985,0.0011315461,0.0008844188],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003042219,0.0007944697,0.5162834,0.00025951638,0.00026278844,0.00431442,0.0016387331,0.052012883,0.01582822,0.33701962,0.008383031,0.060160708],"study_design_scores_gemma":[0.00035681177,0.0006543034,0.5828508,0.00021424351,0.00013966481,0.0016471037,0.0034435731,0.062202536,0.008159213,0.32953715,0.01062211,0.00017255516],"about_ca_topic_score_codex":0.002601398,"about_ca_topic_score_gemma":0.0010862295,"teacher_disagreement_score":0.014949367,"about_ca_system_score_codex":0.0011101791,"about_ca_system_score_gemma":0.00047136552,"threshold_uncertainty_score":0.05001068},"labels":[],"label_agreement":null},{"id":"W4405782898","doi":"10.3390/jrfm18010002","title":"The Impact of Sentiment on Realized Higher-Order Moments in the S&amp;P 500: Evidence from the Fear and Greed Index","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Order (exchange); Economics; Psychology; Financial economics; Monetary economics; Computer science; Finance; World Wide Web","score_opus":0.029717358918922573,"score_gpt":0.26200697047585164,"score_spread":0.23228961155692907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405782898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980276,0.000044464854,0.00015223617,0.000064702224,0.0000038179096,0.0000034649663,0.000108640575,0.0000033633576,0.0015916685],"genre_scores_gemma":[0.9996909,0.00002935326,0.000038079408,0.000010771216,0.000007725655,0.0000012955094,0.000108617896,0.0000013305007,0.0001119546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953663,0.000108207976,0.00004421454,0.000066690496,0.00016036422,0.00008387965],"domain_scores_gemma":[0.989638,0.0042717424,0.0043633464,0.00036297934,0.0007473082,0.00061658013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081884715,0.00019394593,0.00024063163,0.00054566504,0.00018012022,0.0010183967,0.00019846065,0.00038623903,0.0011926361],"category_scores_gemma":[0.007824521,0.000117752,0.00034841205,0.00047777322,0.00045686582,0.00063768943,0.00055488065,0.0006691333,0.00026260913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029174204,0.0001102973,0.989076,0.00002114233,0.00010666327,0.0002265691,0.0002383924,0.0011544996,0.002034501,0.0005375159,0.00032053026,0.00588213],"study_design_scores_gemma":[0.000003242114,0.0000702694,0.9972754,0.000003759272,0.000015704421,0.000035684538,0.00016153308,0.0017391611,0.0003009951,0.00021758492,0.00016930766,0.000007399774],"about_ca_topic_score_codex":0.003207576,"about_ca_topic_score_gemma":0.0033542074,"teacher_disagreement_score":0.003207576,"about_ca_system_score_codex":0.0003564913,"about_ca_system_score_gemma":0.00019082517,"threshold_uncertainty_score":0.006377816},"labels":[],"label_agreement":null},{"id":"W4405863243","doi":"10.2139/ssrn.5074781","title":"Distributional Asymmetric and Nonlinear Interconnectedness between Crypto-Assets and the Us Equity Market: A Contrary Point of View","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Equity (law); Economics; Point (geometry); Nonlinear system; Financial economics; Monetary economics; Mathematics; Political science; Law; Physics; Geometry","score_opus":0.017799351353740327,"score_gpt":0.24437293291505865,"score_spread":0.22657358156131832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405863243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9261748,0.0010735103,0.03843272,0.010894771,0.00006643463,0.000021590786,0.00056380004,0.00007071876,0.02270151],"genre_scores_gemma":[0.9971635,0.00037966427,0.00076559465,0.00014192484,0.0001306644,0.0000050510866,0.00008826444,0.000010497201,0.0013147783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960524,0.00009918875,0.000026909702,0.00012511101,0.000085211286,0.000058383564],"domain_scores_gemma":[0.991085,0.0043364563,0.0023549017,0.0010978483,0.0006917736,0.00043408567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012559473,0.00025855406,0.00071099144,0.0013131453,0.0005622542,0.0030684026,0.0008484833,0.0014383825,0.008920459],"category_scores_gemma":[0.012160876,0.0002255447,0.0005168247,0.0012343298,0.0024416903,0.0071783396,0.0015716365,0.0016306263,0.00053044024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031823057,0.00008541974,0.051855758,0.00015146262,0.00014749498,0.0008744476,0.00048788023,0.01453755,0.0026953986,0.9020353,0.0020653096,0.024745822],"study_design_scores_gemma":[0.000036998175,0.000063121995,0.024982324,0.000036141046,0.00006152133,0.00040017563,0.0005006713,0.03306311,0.0007267803,0.93868184,0.0014193669,0.000027983624],"about_ca_topic_score_codex":0.0015314346,"about_ca_topic_score_gemma":0.0009716469,"teacher_disagreement_score":0.008920459,"about_ca_system_score_codex":0.0006337355,"about_ca_system_score_gemma":0.00044527507,"threshold_uncertainty_score":0.0298419},"labels":[],"label_agreement":null},{"id":"W4405911853","doi":"10.2139/ssrn.5074221","title":"Factor Investing with Delays","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Factor (programming language); Business; Computer science; Programming language","score_opus":0.026453340326485233,"score_gpt":0.21609938549575133,"score_spread":0.1896460451692661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405911853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72122693,0.0021162839,0.2019119,0.002741889,0.0004581029,0.000090704685,0.0008510992,0.0005104438,0.070092656],"genre_scores_gemma":[0.959153,0.000518704,0.003135083,0.00003884571,0.000062073545,0.000012831865,0.00011530004,0.000019774445,0.03694448],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997881,0.000024195884,0.000010658404,0.00006810306,0.000031925592,0.00007705497],"domain_scores_gemma":[0.9986467,0.0006386822,0.00027073245,0.000146853,0.00015573225,0.00014141906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051384675,0.000696023,0.0006350548,0.00046613612,0.00028592302,0.0015277796,0.000451605,0.0009378626,0.015780747],"category_scores_gemma":[0.0050384817,0.00025803593,0.0004437945,0.00050456217,0.0006334661,0.002593561,0.0004754381,0.001001088,0.0008182688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008192069,0.0001558513,0.007867848,0.0003325002,0.00012847014,0.0019042608,0.00022994788,0.2125305,0.0072718603,0.65247107,0.013728479,0.10256003],"study_design_scores_gemma":[0.000109758614,0.0003253657,0.0036568854,0.00004427571,0.00011247791,0.0008633983,0.00019839684,0.3448392,0.0049815355,0.6295105,0.0153068295,0.000051374584],"about_ca_topic_score_codex":0.0029376892,"about_ca_topic_score_gemma":0.0017182048,"teacher_disagreement_score":0.015780747,"about_ca_system_score_codex":0.0008828196,"about_ca_system_score_gemma":0.0004845527,"threshold_uncertainty_score":0.052791834},"labels":[],"label_agreement":null},{"id":"W4406026322","doi":"10.2139/ssrn.5067502","title":"The Impact of Mandatory Closed Periods on Corporate Insider Trading","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Insider trading; Insider; Earnings; Business; Information asymmetry; Compensation (psychology); Private information retrieval; Monetary economics; Accounting; Finance; Economics; Political science","score_opus":0.024245573357297694,"score_gpt":0.24393015609009971,"score_spread":0.21968458273280203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406026322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957151,0.00041063371,0.00021464289,0.0006469383,0.000042279033,0.000004959898,0.00021899263,0.000023220084,0.002723264],"genre_scores_gemma":[0.9993166,0.000061327366,0.00002629587,0.00003997195,0.00004084305,0.0000018069913,0.00007719652,0.000005080458,0.00043086332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845433,0.00037516683,0.00011503167,0.00020450601,0.00020217028,0.0006487261],"domain_scores_gemma":[0.90731615,0.06336544,0.018054828,0.0025560826,0.0020496007,0.0066578337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043824804,0.00030686852,0.000739209,0.0005614578,0.0008083724,0.0047580847,0.0011979538,0.002091002,0.010396366],"category_scores_gemma":[0.037279177,0.00034903755,0.0006962973,0.0005381608,0.0011467879,0.0024133609,0.001473635,0.0028445947,0.00051408214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0301629,0.005000987,0.744456,0.0006237658,0.0008626969,0.004009659,0.0018659221,0.034666725,0.017363345,0.054336995,0.0097767655,0.096874245],"study_design_scores_gemma":[0.0006169253,0.0032529961,0.9310224,0.00014158036,0.00073487323,0.00064403826,0.003046681,0.030087994,0.0042443965,0.02301946,0.0030730343,0.00011569467],"about_ca_topic_score_codex":0.0055176667,"about_ca_topic_score_gemma":0.007450477,"teacher_disagreement_score":0.010396366,"about_ca_system_score_codex":0.0012929733,"about_ca_system_score_gemma":0.0012659059,"threshold_uncertainty_score":0.03477931},"labels":[],"label_agreement":null},{"id":"W4406034723","doi":"10.3390/jrfm18010016","title":"Economic News, Social Media Sentiments, and Stock Returns: Which Is a Bigger Driver?","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Business; Social media; Financial economics; Advertising; Economics; Monetary economics; Computer science; Engineering; World Wide Web","score_opus":0.011911801286147073,"score_gpt":0.21059725987966127,"score_spread":0.1986854585935142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406034723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837172,0.0014341117,0.00035526237,0.002475692,0.000060284194,0.000026092366,0.00028089577,0.000010960951,0.011639432],"genre_scores_gemma":[0.99747866,0.0007970427,0.00013054551,0.0002214472,0.00012898067,0.0000069701487,0.00012046112,0.000005795034,0.0011099838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994344,0.00015556508,0.000037452523,0.000090420086,0.00017226483,0.00010984051],"domain_scores_gemma":[0.9866231,0.0070684063,0.0037950634,0.00033306988,0.0011358738,0.001044445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012490192,0.00040389312,0.00039478575,0.0012719424,0.00032940664,0.0023390239,0.00020262979,0.0005902914,0.0050309817],"category_scores_gemma":[0.008174615,0.00018444465,0.00042049782,0.00096258527,0.00057303,0.0019671726,0.0006617763,0.0010649058,0.0005939761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036044014,0.00033899414,0.96561295,0.00014213634,0.00033086355,0.00021410493,0.00079638907,0.00027028206,0.0013442968,0.0018301015,0.00084287446,0.027916508],"study_design_scores_gemma":[0.000009536539,0.00009562418,0.9955194,0.000050220806,0.00014431096,0.000049483384,0.0010931586,0.00077299547,0.00031012742,0.00078432984,0.0011579319,0.000012927324],"about_ca_topic_score_codex":0.0041306107,"about_ca_topic_score_gemma":0.0043150056,"teacher_disagreement_score":0.0050309817,"about_ca_system_score_codex":0.00039468356,"about_ca_system_score_gemma":0.0003476317,"threshold_uncertainty_score":0.016830325},"labels":[],"label_agreement":null},{"id":"W4406101383","doi":"10.2139/ssrn.5083905","title":"Market Segmentation Across Stocks, Bonds, and Derivatives&amp;nbsp;","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"Economic and Social Research Council","keywords":"Market segmentation; Financial market; Segmentation; Business; Intermediary; Bond; Market microstructure; Stock (firearms); Bond market; Derivative (finance); Financial economics; Price discovery; Monetary economics; Economics; Finance; Marketing; Order (exchange); Computer science; Artificial intelligence; Geography","score_opus":0.0230427362166425,"score_gpt":0.2621091356862004,"score_spread":0.23906639946955793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406101383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9506176,0.0011262381,0.008110056,0.000972547,0.00005163436,0.000050733448,0.0018872861,0.00013625383,0.037047587],"genre_scores_gemma":[0.9904488,0.00016690891,0.0011523559,0.000089049834,0.00003524373,0.000015762693,0.0013826649,0.000045165416,0.006664178],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993881,0.000098556724,0.000035924375,0.00019432094,0.000120263496,0.00016286383],"domain_scores_gemma":[0.9967439,0.0012625623,0.0009532412,0.00021586058,0.00038665315,0.00043780627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008518233,0.00021676924,0.00060259673,0.0014822306,0.0005853346,0.0033050587,0.0004661175,0.00086067634,0.023130467],"category_scores_gemma":[0.006341054,0.00032265115,0.00040701538,0.0015260188,0.00046694378,0.0029896135,0.0008210227,0.0006776616,0.0019425564],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027673396,0.0007787152,0.47328573,0.00034615342,0.00062255404,0.0010261231,0.0039642253,0.0157297,0.03527083,0.2198384,0.036333565,0.21003677],"study_design_scores_gemma":[0.00012312422,0.00030599753,0.7539912,0.000109794535,0.00018710142,0.0005430315,0.0025713816,0.06329343,0.006279907,0.15351729,0.019007817,0.00007005866],"about_ca_topic_score_codex":0.0068507143,"about_ca_topic_score_gemma":0.0074487287,"teacher_disagreement_score":0.023130467,"about_ca_system_score_codex":0.001181291,"about_ca_system_score_gemma":0.00054646266,"threshold_uncertainty_score":0.07737917},"labels":[],"label_agreement":null},{"id":"W4406104778","doi":"10.54254/2754-1169/2024.19316","title":"Beyond CAPM: The Rise and Relevance of Arbitrage Pricing Theory in Modern Investment Strategies","year":2025,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Capital asset pricing model; Investment theory; Arbitrage pricing theory; Diversification (marketing strategy); Consumption-based capital asset pricing model; Economics; Financial economics; Arbitrage; Portfolio; Market portfolio; Business; Marketing","score_opus":0.011625309983724474,"score_gpt":0.23907212214826942,"score_spread":0.22744681216454496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406104778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05191444,0.087405264,0.7466658,0.02496233,0.0009033207,0.00011761439,0.00012470999,0.00015704495,0.0877495],"genre_scores_gemma":[0.89251024,0.030299278,0.068027765,0.0017154816,0.001955525,0.00014255497,0.00006382273,0.000061233775,0.005223989],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99703133,0.001496248,0.00012703003,0.00033028173,0.00089186954,0.00012317141],"domain_scores_gemma":[0.9910286,0.0067357384,0.0005989433,0.0007303417,0.00072765263,0.0001787083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069377744,0.000913656,0.0014738216,0.0022550677,0.00083909486,0.0058950325,0.0013984977,0.0029612812,0.0025347655],"category_scores_gemma":[0.017038409,0.00044473636,0.0011688477,0.002854674,0.006384632,0.011648404,0.0020961761,0.00502105,0.00050150783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009971058,0.000016909657,0.00056848174,0.00014034378,0.000020448379,0.00009038714,0.00024276628,0.006803336,0.00012927027,0.9668141,0.00054945314,0.02461455],"study_design_scores_gemma":[0.0000040318014,0.00002955734,0.00040982768,0.00014613573,0.000009121001,0.0000908089,0.00008926115,0.031351477,0.000095091425,0.96019495,0.007562113,0.000017707103],"about_ca_topic_score_codex":0.0012798681,"about_ca_topic_score_gemma":0.0005859374,"teacher_disagreement_score":0.0069377744,"about_ca_system_score_codex":0.0021222865,"about_ca_system_score_gemma":0.0018497109,"threshold_uncertainty_score":0.03669089},"labels":[],"label_agreement":null},{"id":"W4406143960","doi":"10.2139/ssrn.5055695","title":"Data Scientists on Wall Street","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stock (firearms); Portfolio allocation; Portfolio; Competition (biology); Business; Stock market; Private information retrieval; Financial market; Finance; Economics; Monetary economics","score_opus":0.04851499485507733,"score_gpt":0.2634732450154382,"score_spread":0.21495825016036085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406143960","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026786947,0.0014478186,0.008873676,0.004983267,0.0038621826,0.00033069783,0.5500457,0.044068515,0.38370943],"genre_scores_gemma":[0.011433217,0.002033193,0.008831166,0.0017657999,0.0011301993,0.00085186434,0.4827073,0.017724605,0.4735227],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9971739,0.00049656443,0.0002896302,0.0008182401,0.00093296,0.00028878378],"domain_scores_gemma":[0.98882574,0.0025481116,0.0007815748,0.0049136425,0.0014638241,0.0014672303],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027268287,0.0020158621,0.003151809,0.008854031,0.0013502217,0.0079455795,0.0013029322,0.001934402,0.71002287],"category_scores_gemma":[0.024084484,0.0014989375,0.0012392735,0.014659907,0.0008909791,0.005153347,0.0046231328,0.003381131,0.75442886],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010229988,0.000025280822,0.00026845353,0.00016883393,0.000014825319,0.000029265944,0.000038642174,0.00010223512,0.0002281001,0.003526503,0.95692694,0.038568627],"study_design_scores_gemma":[0.00006101983,0.0000122988495,0.0007027517,0.00016299522,0.000010220033,0.000029741326,0.000035720543,0.00036098447,0.00038391873,0.0055807345,0.99264455,0.000015060562],"about_ca_topic_score_codex":0.0016605186,"about_ca_topic_score_gemma":0.0016679007,"teacher_disagreement_score":0.71002287,"about_ca_system_score_codex":0.00070469937,"about_ca_system_score_gemma":0.0025898644,"threshold_uncertainty_score":0.41361713},"labels":[],"label_agreement":null},{"id":"W4406198445","doi":"10.2139/ssrn.5087583","title":"The Price Impacts of Informed Investors","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Earnings; Stock price; Economics; Profit (economics); Financial economics; Stock exchange; Monetary economics; Trading strategy; Business; Finance; Microeconomics","score_opus":0.017559885860139363,"score_gpt":0.23332507655322265,"score_spread":0.21576519069308328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406198445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9536505,0.0011167898,0.004416303,0.0055971877,0.00011674443,0.000018363751,0.00026052276,0.000048991496,0.034774598],"genre_scores_gemma":[0.99578613,0.0003381182,0.00015176408,0.00015179056,0.000057360576,0.0000028220456,0.00003728952,0.000005564343,0.0034691305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995461,0.00014850288,0.0000210392,0.00006460771,0.00011158602,0.00010807431],"domain_scores_gemma":[0.9885244,0.0075381394,0.0021656994,0.00071548723,0.00054824445,0.000508122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017048636,0.00033288755,0.0004141493,0.00034790454,0.00029087684,0.0028628143,0.00047586634,0.0025637737,0.012370693],"category_scores_gemma":[0.019288814,0.00034340654,0.00034686085,0.00041921108,0.0008325831,0.003812112,0.0008361154,0.0019172592,0.000796056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007652403,0.0015116563,0.09264225,0.00044625852,0.00054504495,0.004336101,0.0013608299,0.13884474,0.013561079,0.5642018,0.020139888,0.15475799],"study_design_scores_gemma":[0.0007392764,0.0010255706,0.06321259,0.00006244963,0.00045798472,0.000657285,0.0017249418,0.15747735,0.007954423,0.75911134,0.0074306047,0.00014619878],"about_ca_topic_score_codex":0.001120752,"about_ca_topic_score_gemma":0.0009315024,"teacher_disagreement_score":0.012370693,"about_ca_system_score_codex":0.00064183254,"about_ca_system_score_gemma":0.0003278086,"threshold_uncertainty_score":0.04138416},"labels":[],"label_agreement":null},{"id":"W4406200440","doi":"10.2139/ssrn.5014869","title":"The Lexical Ratio: A New Perspective on Portfolio Diversification","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; York University","funders":"","keywords":"Diversification (marketing strategy); Perspective (graphical); Portfolio; Business; Linguistics; Financial economics; Economics; Computer science; Philosophy; Marketing; Artificial intelligence","score_opus":0.02416291877666208,"score_gpt":0.24714591358551916,"score_spread":0.22298299480885708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406200440","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1514366,0.04277241,0.646513,0.019213147,0.0027273789,0.000061302155,0.00045393757,0.00028344392,0.13653883],"genre_scores_gemma":[0.89240205,0.014463945,0.06316996,0.0017871116,0.01038005,0.000102816164,0.00019975923,0.0002497098,0.01724467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99842864,0.0006047236,0.000108306886,0.0002789511,0.0004875753,0.00009174913],"domain_scores_gemma":[0.9952167,0.0029460436,0.0005712822,0.00044318128,0.00040552957,0.000417336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002817492,0.0010810725,0.0013740433,0.005317691,0.0009919263,0.0067536654,0.0016129629,0.0025096163,0.0069055483],"category_scores_gemma":[0.014879011,0.00037459968,0.0007849412,0.0045924224,0.004381538,0.019457227,0.0031242885,0.0026618554,0.0011020504],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038854934,0.000017221411,0.0008799536,0.00004674582,0.000017610177,0.00007995113,0.00011608473,0.0013798747,0.000506738,0.9674947,0.0012184066,0.028203938],"study_design_scores_gemma":[0.000010241215,0.000023197385,0.000396051,0.000019388908,0.000009765629,0.00016571383,0.00005523312,0.005823569,0.00012844877,0.9889094,0.004447048,0.000011875849],"about_ca_topic_score_codex":0.00032703197,"about_ca_topic_score_gemma":0.00018911599,"teacher_disagreement_score":0.0069055483,"about_ca_system_score_codex":0.0008911301,"about_ca_system_score_gemma":0.0004671991,"threshold_uncertainty_score":0.02310139},"labels":[],"label_agreement":null},{"id":"W4406380533","doi":"10.1093/jjfinec/nbae033","title":"An Information-Theoretic Asset Pricing Model","year":2025,"lang":"en","type":"article","venue":"Journal of Financial Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Economic and Social Research Council","keywords":"Stochastic discount factor; Capital asset pricing model; Econometrics; Sharpe ratio; Economics; Risk premium; Equity (law); Kurtosis; Benchmark (surveying); Financial economics; Actuarial science; Statistics; Mathematics; Portfolio","score_opus":0.02143863437246926,"score_gpt":0.22549787299367935,"score_spread":0.2040592386212101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406380533","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09685706,0.0008380789,0.8735379,0.0034483236,0.00012369854,0.00008271033,0.00097084366,0.0002821891,0.023859097],"genre_scores_gemma":[0.9532804,0.0006202039,0.030787617,0.00025927697,0.00019341268,0.00011358006,0.00035887596,0.000043295946,0.01434325],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998833,0.00048448832,0.000049722057,0.0002063345,0.00027538184,0.00015105605],"domain_scores_gemma":[0.9946667,0.0037299427,0.00054430816,0.0003414707,0.0005017729,0.0002157979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032594798,0.0007515187,0.0015218062,0.0012399867,0.0004578053,0.002829225,0.0022846446,0.0026607888,0.005157788],"category_scores_gemma":[0.009935086,0.00052503904,0.0011082481,0.0013947809,0.0019751848,0.0032699257,0.0011736858,0.0018419167,0.00082043116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005271749,0.000054258704,0.00082613423,0.000053111147,0.000051138148,0.00024285488,0.00011369073,0.4221355,0.00044485577,0.5665187,0.0019411684,0.0075658164],"study_design_scores_gemma":[0.000015593278,0.000019867033,0.00020801151,0.000009412774,0.0000116132305,0.000066588225,0.0000109566545,0.85386986,0.000058259182,0.14518574,0.0005284571,0.000015597263],"about_ca_topic_score_codex":0.0038794444,"about_ca_topic_score_gemma":0.0016049034,"teacher_disagreement_score":0.005157788,"about_ca_system_score_codex":0.0014775462,"about_ca_system_score_gemma":0.0010064596,"threshold_uncertainty_score":0.017254531},"labels":[],"label_agreement":null},{"id":"W4406398802","doi":"10.3390/jrfm18010032","title":"Examining Market Quality on the Egyptian Exchange (EGX): An Intraday Liquidity Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Business; Quality (philosophy); Monetary economics; Economics; Physics","score_opus":0.04083529616000501,"score_gpt":0.24533199132930017,"score_spread":0.20449669516929517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406398802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983271,0.000102734484,0.00053598353,0.000035931367,0.0000017028705,0.0000053558597,0.00031737777,0.000008387804,0.00066533964],"genre_scores_gemma":[0.99887985,0.000070199974,0.00027686733,0.000005784681,0.0000071746967,0.0000024706833,0.00052300555,0.000002912726,0.0002318687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997116,0.000051666677,0.00003583279,0.000050849943,0.00010181377,0.000048207803],"domain_scores_gemma":[0.9975803,0.0007921337,0.00094204344,0.00013715078,0.0003986452,0.00014974279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091123045,0.00024545885,0.00032765642,0.002077734,0.00022276102,0.0012561255,0.0002783819,0.0003301222,0.0013503542],"category_scores_gemma":[0.0038981838,0.00010035718,0.00028081486,0.0018397727,0.0002569327,0.0012324683,0.00077275466,0.00031319933,0.00018329648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006800995,0.00006782473,0.9534186,0.00007086677,0.00023569622,0.0008029036,0.0007151184,0.012715938,0.005138916,0.0021808788,0.00059022283,0.023382938],"study_design_scores_gemma":[0.000012166064,0.0001252531,0.96696955,0.000017877446,0.000051501513,0.00022719176,0.00065118633,0.029206019,0.0011548912,0.00068292377,0.00087856647,0.000022873763],"about_ca_topic_score_codex":0.006614935,"about_ca_topic_score_gemma":0.006315448,"teacher_disagreement_score":0.006614935,"about_ca_system_score_codex":0.0005476006,"about_ca_system_score_gemma":0.0002538786,"threshold_uncertainty_score":0.013152838},"labels":[],"label_agreement":null},{"id":"W4406408530","doi":"10.1007/978-3-031-77506-2_6","title":"Third Quarter: Two Strategies to Boost Your Return on Ad Investment","year":2025,"lang":"en","type":"book-chapter","venue":"Business guides on the go","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Investment (military); Economics; History; Political science","score_opus":0.051078921374487794,"score_gpt":0.24387365666458005,"score_spread":0.19279473529009225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406408530","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013654867,0.0062866234,0.00762072,0.04526278,0.0067449356,0.000075478696,0.00062431284,0.0020541751,0.91767615],"genre_scores_gemma":[0.052632496,0.002327443,0.0041342033,0.008842179,0.0013279589,0.00004739553,0.00031223765,0.000573042,0.9298031],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994986,0.000071230796,0.000013197879,0.00004928633,0.00025082042,0.000116769756],"domain_scores_gemma":[0.9987048,0.00016081877,0.000083519015,0.00016974966,0.0003209639,0.0005600572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011946043,0.0006380271,0.00036427964,0.00093870383,0.0011559372,0.0084404815,0.00097400206,0.0025410762,0.06891594],"category_scores_gemma":[0.0030378252,0.00026910918,0.00050024764,0.00071331556,0.000588652,0.004506324,0.0013046365,0.002816664,0.03973869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011999904,0.0001310767,0.0006415046,0.000036810918,0.000006573032,0.0000669277,0.0001530441,0.00013731336,0.0003377211,0.036040716,0.78764963,0.1746787],"study_design_scores_gemma":[0.000046010246,0.00008253734,0.0023589425,0.00008925853,0.000015208843,0.00033865217,0.00037400998,0.0007922252,0.0014472086,0.02451931,0.9699047,0.00003196631],"about_ca_topic_score_codex":0.0035498433,"about_ca_topic_score_gemma":0.010285475,"teacher_disagreement_score":0.06891594,"about_ca_system_score_codex":0.0019821348,"about_ca_system_score_gemma":0.002587136,"threshold_uncertainty_score":0.23054677},"labels":[],"label_agreement":null},{"id":"W4406741424","doi":"10.1016/j.jbankfin.2025.107394","title":"Stock split signalling: Evidence from short interest","year":2025,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Stock (firearms); Signalling; Business; Monetary economics; Financial system; Economics; Materials science; Metallurgy; Microeconomics","score_opus":0.07871359720454565,"score_gpt":0.2674150561701914,"score_spread":0.18870145896564575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406741424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972894,0.00012273759,0.00043045825,0.000079751255,0.0000062654544,0.000008301313,0.000083951185,0.000006827653,0.0019723254],"genre_scores_gemma":[0.9992999,0.00005610826,0.00013782119,0.00004325303,0.000020013647,0.0000042489296,0.00014696334,0.0000028451846,0.00028872734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989079,0.00024845733,0.00013683405,0.00018564067,0.00037774607,0.00014341918],"domain_scores_gemma":[0.93198955,0.032393713,0.027668672,0.0032961557,0.0018476794,0.002804118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023076038,0.0002460456,0.0003439083,0.0007215955,0.00022471977,0.0011168177,0.0004529648,0.00079431175,0.0041252845],"category_scores_gemma":[0.023761394,0.00021142182,0.00024355797,0.0005940656,0.0007792387,0.0011140597,0.0010845565,0.00096992013,0.00078467344],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00476038,0.0009080294,0.923227,0.00022027543,0.00030009414,0.0005453203,0.0018408027,0.0009271319,0.028875913,0.002396161,0.00064869,0.03535017],"study_design_scores_gemma":[0.00006825376,0.0011504776,0.98724884,0.000021262114,0.00012085276,0.00034449392,0.00065998634,0.0025480608,0.0056143794,0.0015453818,0.0006511474,0.000026861202],"about_ca_topic_score_codex":0.00071622967,"about_ca_topic_score_gemma":0.0004331754,"teacher_disagreement_score":0.0041252845,"about_ca_system_score_codex":0.0001887924,"about_ca_system_score_gemma":0.00017721529,"threshold_uncertainty_score":0.013800502},"labels":[],"label_agreement":null},{"id":"W4406809754","doi":"10.1111/1911-3846.13018","title":"Talking down the competitors: How do investment banking relationships influence analysts' forecasts?","year":2025,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Southwestern University of Finance and Economics; Fuzhou University; University of Science and Technology Beijing; Zhejiang University; Nanyang Technological University; Hunan University; Central South University; Fudan University; Shanghai University of Finance and Economics; Tsinghua University; Beijing Normal University; National Natural Science Foundation of China; Central University of Finance and Economics; University of International Business and Economics","keywords":"Competitor analysis; Investment banking; Business; Investment (military); Financial system; Marketing; Political science","score_opus":0.09153132266800203,"score_gpt":0.2955555942286023,"score_spread":0.20402427156060027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406809754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803386,0.00045533376,0.00064335833,0.0020776272,0.000030112647,0.0000098965065,0.00005647737,0.000011666986,0.01637693],"genre_scores_gemma":[0.9992939,0.0000943412,0.00008620868,0.00010706818,0.000027109827,0.0000020233217,0.000017779908,0.0000044324674,0.0003670423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99713767,0.0015341203,0.00013870602,0.00029258154,0.00067905907,0.00021782641],"domain_scores_gemma":[0.8927613,0.078323,0.02015322,0.001281385,0.0038749145,0.00360617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043064957,0.00021121408,0.00027218548,0.0008262883,0.0006734687,0.0039921533,0.00039331865,0.0011749364,0.005092116],"category_scores_gemma":[0.064886555,0.00021164567,0.00016575438,0.00075144996,0.0007854746,0.0019294628,0.00058819435,0.0013002842,0.0007631857],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007711604,0.00038012673,0.9278595,0.00007553016,0.0002111048,0.0004906239,0.014133641,0.0022259355,0.0017201311,0.003872193,0.0034189878,0.044841085],"study_design_scores_gemma":[0.000052483578,0.0002037843,0.9600906,0.0001010876,0.00021194802,0.0002643349,0.01602303,0.008981431,0.0009134346,0.007709407,0.0053700176,0.0000784804],"about_ca_topic_score_codex":0.008046521,"about_ca_topic_score_gemma":0.009917078,"teacher_disagreement_score":0.008046521,"about_ca_system_score_codex":0.00093612896,"about_ca_system_score_gemma":0.00074153626,"threshold_uncertainty_score":0.022775173},"labels":[],"label_agreement":null},{"id":"W4406863852","doi":"10.2139/ssrn.5048159","title":"High Portfolio Turnover, Managerial Skills, and Fund Performance of Chinese Mutual Funds","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Portfolio; Fund of funds; Mutual fund; Closed-end fund; Open-end fund; Finance; Target date fund; Financial system; Institutional investor","score_opus":0.009321444574048238,"score_gpt":0.21279462545006375,"score_spread":0.2034731808760155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406863852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99967444,0.00006447443,0.000010212004,0.000034074896,9.842386e-7,0.0000010742863,0.000028067121,8.4459316e-7,0.00018589906],"genre_scores_gemma":[0.9998055,0.000021603242,0.0000048828792,0.000006437507,0.000004255728,0.0000010537603,0.000043022585,3.1747862e-7,0.0001128696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951625,0.00007210506,0.000051732997,0.000072289644,0.00008363089,0.00020403159],"domain_scores_gemma":[0.99403185,0.0012886964,0.002828026,0.00017490813,0.000305722,0.0013707181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014059311,0.00023097488,0.00031841669,0.0017417406,0.0006306211,0.0012317426,0.00052866025,0.0007909005,0.0017942677],"category_scores_gemma":[0.0047138524,0.00017446613,0.00024325257,0.0010729828,0.00054656866,0.00061894197,0.0007231113,0.0003899548,0.00021263842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017934554,0.00007319266,0.9962741,0.000008311467,0.000035172452,0.00015486819,0.00033787265,0.00028473922,0.00019983109,0.00016619625,0.000120842895,0.0021655695],"study_design_scores_gemma":[0.0000072386774,0.00004182178,0.9984458,0.0000029499515,0.000021486452,0.00005042957,0.00031741188,0.0008166117,0.00005549809,0.00017482004,0.00006132952,0.000004545956],"about_ca_topic_score_codex":0.016282456,"about_ca_topic_score_gemma":0.01357123,"teacher_disagreement_score":0.016282456,"about_ca_system_score_codex":0.00107458,"about_ca_system_score_gemma":0.0010204065,"threshold_uncertainty_score":0.032375395},"labels":[],"label_agreement":null},{"id":"W4406957832","doi":"10.3390/jrfm18020062","title":"Selection and Timing Skill in Bond Mutual Fund Returns: Evidence from Bootstrap Simulations","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bond; Selection (genetic algorithm); Econometrics; Mutual fund; Economics; Computer science; Financial economics; Machine learning; Finance","score_opus":0.039680904496758096,"score_gpt":0.25779161346778595,"score_spread":0.21811070897102786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406957832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972606,0.00010604752,0.0017354323,0.0001091105,0.000006106892,0.000009265428,0.00016236314,0.000023778743,0.00058726105],"genre_scores_gemma":[0.9992767,0.000027315184,0.00038412455,0.00001826482,0.0000068107797,0.0000051782363,0.00020293685,0.0000037941081,0.00007496664],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99712855,0.0016496163,0.00018483558,0.00041631656,0.0003833558,0.00023730121],"domain_scores_gemma":[0.833189,0.13669357,0.014819786,0.010559101,0.0030885919,0.0016499148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017146073,0.00031591754,0.0005045605,0.0009214323,0.00040777208,0.001133468,0.00076197105,0.0008731567,0.001389291],"category_scores_gemma":[0.103996694,0.00020423585,0.00057830446,0.000990531,0.0012523982,0.0012679049,0.00090440706,0.00082549895,0.00026377494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021160978,0.00047798874,0.8370636,0.0000954945,0.0006857772,0.0003453417,0.0007201216,0.115814045,0.0008193004,0.009531636,0.003193805,0.029136624],"study_design_scores_gemma":[0.00047455874,0.0010595161,0.3874049,0.00011009624,0.00045995417,0.00037995577,0.00070735853,0.5807279,0.0032858548,0.02285715,0.0024439795,0.000088934125],"about_ca_topic_score_codex":0.005759124,"about_ca_topic_score_gemma":0.003795878,"teacher_disagreement_score":0.017146073,"about_ca_system_score_codex":0.00047142504,"about_ca_system_score_gemma":0.0004262806,"threshold_uncertainty_score":0.090678155},"labels":[],"label_agreement":null},{"id":"W4407029035","doi":"10.1016/j.jclepro.2025.144880","title":"ESG-based index tracking with portfolio policy","year":2025,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Index (typography); Portfolio; Business; Tracking (education); Finance; Computer science","score_opus":0.018354944963869347,"score_gpt":0.23248530473248308,"score_spread":0.21413035976861372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407029035","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21027955,0.0013042347,0.75802684,0.0013316318,0.0005909181,0.00018092418,0.0028357173,0.0056067645,0.019843403],"genre_scores_gemma":[0.8822683,0.0002347372,0.11082063,0.00017260814,0.00017631073,0.000047985883,0.0013601007,0.00013792462,0.0047814855],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992156,0.00024811708,0.00006234679,0.00019682634,0.00018455806,0.00009260093],"domain_scores_gemma":[0.9967265,0.0014232129,0.0004107101,0.00064798066,0.00062590645,0.00016562821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026117233,0.00071531563,0.0008929933,0.002014719,0.0003425216,0.0019317874,0.00087572384,0.0012323739,0.005981663],"category_scores_gemma":[0.011887748,0.00036327878,0.00032589596,0.0020873575,0.0003156279,0.0020323696,0.0011557109,0.0008787158,0.0021848693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009838594,0.0003415255,0.03567822,0.00011000585,0.00017724684,0.00019959723,0.00010306593,0.41998696,0.0065280665,0.014073106,0.011773761,0.5100447],"study_design_scores_gemma":[0.00002156468,0.000033573568,0.0021709662,0.000011635247,0.000015912496,0.000020417496,0.000012925741,0.98934245,0.0017258583,0.005232023,0.0014037922,0.00000882805],"about_ca_topic_score_codex":0.0041068057,"about_ca_topic_score_gemma":0.0046731513,"teacher_disagreement_score":0.005981663,"about_ca_system_score_codex":0.0006455163,"about_ca_system_score_gemma":0.00089388207,"threshold_uncertainty_score":0.02001065},"labels":[],"label_agreement":null},{"id":"W4407078553","doi":"10.1111/fima.12497","title":"The Value of Investor Sophistication","year":2025,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; University of Northern British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; University of Northern British Columbia; Arkansas State University","keywords":"Sophistication; Volatility (finance); Econometrics; Financial economics; Economics; Robustness (evolution); Stock (firearms); Stock market; Monetary economics; Biology","score_opus":0.015168892134731975,"score_gpt":0.20815195483427082,"score_spread":0.19298306269953885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407078553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857282,0.0004459961,0.005349919,0.0005929479,0.0000098653445,0.000012641912,0.00013961269,0.000022493185,0.007698394],"genre_scores_gemma":[0.9994709,0.000045901845,0.00027567075,0.000013069382,0.00001439701,0.0000017490725,0.000025418742,0.0000018176031,0.00015105655],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984144,0.00064658874,0.00016506812,0.0002663507,0.0003300659,0.00017749095],"domain_scores_gemma":[0.9292315,0.04156241,0.021137265,0.0040625823,0.002000481,0.002005807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029179482,0.0002749287,0.0005077426,0.0012570214,0.00029639874,0.0029371546,0.00042290156,0.00074127276,0.002647554],"category_scores_gemma":[0.035410695,0.00025889918,0.0002884975,0.00087386917,0.0011434185,0.0023945405,0.0016276087,0.00096835033,0.00020270517],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065757026,0.00013349365,0.8496274,0.00017329385,0.00087322685,0.0011523138,0.0016891279,0.028627953,0.0057956567,0.054394137,0.0007572735,0.056118656],"study_design_scores_gemma":[0.0000442558,0.00032000334,0.7882397,0.00012583114,0.00023205507,0.0010184787,0.0010700033,0.08332794,0.0032202497,0.11952706,0.0027197716,0.00015473051],"about_ca_topic_score_codex":0.00066235365,"about_ca_topic_score_gemma":0.00047740992,"teacher_disagreement_score":0.0029371546,"about_ca_system_score_codex":0.00060150586,"about_ca_system_score_gemma":0.00027248904,"threshold_uncertainty_score":0.015431762},"labels":[],"label_agreement":null},{"id":"W4407088845","doi":"10.3390/jrfm18020071","title":"The Big Three Passive Investors and the Cost of Equity Capital","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cost of capital; Equity capital markets; Equity (law); Business; Capital (architecture); Monetary economics; Cost of equity; Economics; Finance; Financial system; Financial economics; Private equity; Microeconomics; Art; Political science","score_opus":0.016755844406623015,"score_gpt":0.21461219668126325,"score_spread":0.19785635227464024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407088845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98701376,0.00077328715,0.0016680105,0.0009186722,0.00001971288,0.000022332102,0.0008894244,0.000010886734,0.008683885],"genre_scores_gemma":[0.99855834,0.00015216874,0.00016333358,0.00003345478,0.000016814198,0.000005776817,0.00035890183,0.0000015802308,0.000709642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929464,0.00015530025,0.0000649665,0.000091831156,0.00023008828,0.000163289],"domain_scores_gemma":[0.9835526,0.005005346,0.009176744,0.00056197913,0.0006991415,0.001004258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012392433,0.0001770182,0.00021337485,0.0010941968,0.00031694386,0.0020559006,0.000398096,0.000439249,0.002775015],"category_scores_gemma":[0.00975079,0.00010268209,0.00017279599,0.0010889729,0.0006926529,0.0017040726,0.0008956212,0.0006125911,0.00023224065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009501581,0.000057534562,0.9538935,0.0000609712,0.000081377584,0.00019038815,0.0005206172,0.0016912227,0.00035840986,0.01672496,0.002450165,0.023875933],"study_design_scores_gemma":[0.000025569036,0.000094618386,0.9501392,0.00011598903,0.0000967791,0.0004926467,0.0017198685,0.006688778,0.0013225315,0.023200147,0.016054736,0.000049180526],"about_ca_topic_score_codex":0.0044670226,"about_ca_topic_score_gemma":0.007309359,"teacher_disagreement_score":0.0044670226,"about_ca_system_score_codex":0.0009970997,"about_ca_system_score_gemma":0.00053307635,"threshold_uncertainty_score":0.009283364},"labels":[],"label_agreement":null},{"id":"W4407114397","doi":"10.3390/jrfm18020075","title":"The Impact of Earnings Announcements Before and After Regular Market Hours on Asset Price Dynamics in the Fintech Era","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Earnings; Monetary economics; Order (exchange); Volatility (finance); Commission; Economics; Business; Financial economics; Finance","score_opus":0.005115691960065547,"score_gpt":0.21139438096014784,"score_spread":0.20627868900008228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407114397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99726045,0.00009337433,0.000092676135,0.00012323131,0.000011780315,0.0000018550284,0.00024570027,0.00001190249,0.002159082],"genre_scores_gemma":[0.99928755,0.000040544553,0.00003246495,0.000015431273,0.000017662927,0.0000011523607,0.0002763756,0.000003260997,0.00032555842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976677,0.000027565939,0.000010952171,0.000049795603,0.000066816,0.000078083045],"domain_scores_gemma":[0.99738723,0.0012126861,0.0008803081,0.00010015351,0.00015494693,0.00026472734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048772298,0.00013576032,0.0001690369,0.0005766898,0.00021177084,0.0010362793,0.00018940636,0.0003955912,0.0033748446],"category_scores_gemma":[0.0036039199,0.00009179226,0.00013757407,0.0004924383,0.00027693994,0.0006178218,0.00044050548,0.0005082391,0.0003408169],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001461492,0.00031637715,0.93626314,0.000051893167,0.00008975746,0.0011614992,0.00056334713,0.00762981,0.0064617735,0.0027037167,0.0035007736,0.039796386],"study_design_scores_gemma":[0.000008920547,0.00007548857,0.9941883,0.000007935113,0.000013834529,0.000045603978,0.00017857352,0.0039468193,0.00048004484,0.00024363221,0.00079997786,0.0000109240555],"about_ca_topic_score_codex":0.010023626,"about_ca_topic_score_gemma":0.011443109,"teacher_disagreement_score":0.010023626,"about_ca_system_score_codex":0.0004563951,"about_ca_system_score_gemma":0.00023597175,"threshold_uncertainty_score":0.019930542},"labels":[],"label_agreement":null},{"id":"W4407121999","doi":"10.1016/j.econlet.2025.112209","title":"The efficient market hypothesis when time travel is possible","year":2025,"lang":"en","type":"article","venue":"Economics Letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Economics; Efficient-market hypothesis; Geography; Stock market","score_opus":0.013698083898076167,"score_gpt":0.1751302412044719,"score_spread":0.16143215730639573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407121999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20029873,0.0010480665,0.7318562,0.0071030525,0.00022983621,0.00016618767,0.00045394115,0.00023218314,0.058611743],"genre_scores_gemma":[0.9444275,0.0005051735,0.04659755,0.0005564578,0.00019950881,0.00021341168,0.00020142671,0.00006647284,0.0072324453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99758244,0.0007944856,0.00019585318,0.0005253789,0.0005300846,0.0003717626],"domain_scores_gemma":[0.98615766,0.0086881565,0.0018462728,0.0020905563,0.0007991605,0.00041817446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036263429,0.0004572754,0.00092454895,0.0006559798,0.0007444971,0.0030629127,0.0017804471,0.0031614418,0.010690742],"category_scores_gemma":[0.021847926,0.00048955047,0.0014033361,0.0006050674,0.0052466104,0.01328119,0.0021851885,0.0028293368,0.0009713017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003620813,0.000023570923,0.0005705959,0.00004756297,0.000020283007,0.00017942837,0.00010593273,0.009709896,0.0003539574,0.9842768,0.00050424284,0.0041716304],"study_design_scores_gemma":[0.00003892384,0.00003771829,0.00024002788,0.00001600162,0.0000075287453,0.00011259722,0.000053820426,0.03765875,0.00026511916,0.9596086,0.0019472643,0.000013550436],"about_ca_topic_score_codex":0.001105306,"about_ca_topic_score_gemma":0.0004452063,"teacher_disagreement_score":0.010690742,"about_ca_system_score_codex":0.000949275,"about_ca_system_score_gemma":0.001162515,"threshold_uncertainty_score":0.0357641},"labels":[],"label_agreement":null},{"id":"W4407132211","doi":"10.2139/ssrn.5124454","title":"Options Trading Effects vs. Fears Effects on Stock Market Returns and Volatility","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Volatility (finance); Economics; Monetary economics; Stock market; Financial economics; Stock (firearms); Stock market volatility; Business","score_opus":0.013568586398519438,"score_gpt":0.22579462279678778,"score_spread":0.21222603639826834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407132211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99137646,0.00042190406,0.0009761135,0.0002615044,0.000034980727,0.000007462643,0.00026482422,0.000027555423,0.006629262],"genre_scores_gemma":[0.9986909,0.00008957928,0.00007127254,0.000020916472,0.000029717898,0.0000028046204,0.00008561118,0.000008303803,0.001000889],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967,0.00007895342,0.00002853284,0.00007134248,0.000067030545,0.00008417598],"domain_scores_gemma":[0.9923213,0.0059639374,0.00063274556,0.00033536958,0.00019941939,0.00054718903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012508396,0.00035344737,0.00046446777,0.0003873941,0.00013756251,0.0013011,0.00033829117,0.0007192896,0.014083683],"category_scores_gemma":[0.007993339,0.00016387546,0.0005808416,0.0002691233,0.00053075555,0.0014084459,0.00060033693,0.0010182976,0.0005882507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018816138,0.0025795898,0.615714,0.0010673872,0.0015065547,0.00238071,0.0011638728,0.052055262,0.10632705,0.07071032,0.0038525285,0.12382655],"study_design_scores_gemma":[0.00034747098,0.0017725271,0.8888504,0.000079002464,0.0013106766,0.00065777585,0.0005051742,0.04992695,0.014930943,0.03988437,0.0016316768,0.000103049446],"about_ca_topic_score_codex":0.0007450521,"about_ca_topic_score_gemma":0.00046463253,"teacher_disagreement_score":0.014083683,"about_ca_system_score_codex":0.00019308168,"about_ca_system_score_gemma":0.00017709873,"threshold_uncertainty_score":0.04711461},"labels":[],"label_agreement":null},{"id":"W4407243490","doi":"10.1016/j.jempfin.2025.101579","title":"Skilled active liquidity management: Evidence from shocks to fund flows","year":2025,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Market liquidity; Monetary economics; Economics; Business; Finance; Financial system","score_opus":0.08146607552405126,"score_gpt":0.31858393105181443,"score_spread":0.23711785552776315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407243490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982426,0.00015219463,0.000111772686,0.00012355954,0.0000045326174,0.0000055723012,0.00017236391,0.0000031838495,0.001184131],"genre_scores_gemma":[0.9994004,0.00011135343,0.000042037955,0.00003797849,0.000012467229,0.0000027339815,0.00014563669,0.0000013197731,0.00024608642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996259,0.000101079764,0.000040887382,0.000058546695,0.000073124276,0.000100424564],"domain_scores_gemma":[0.97893506,0.010772511,0.0075082094,0.0009786955,0.00070930953,0.001096158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001205291,0.0002181341,0.00024273568,0.0010074636,0.00035111257,0.0014482705,0.00054276746,0.0010302616,0.0038990316],"category_scores_gemma":[0.012075951,0.0002115902,0.00020852947,0.0009932441,0.0006728464,0.0008624919,0.00088193844,0.00083404686,0.00048629643],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029638885,0.0009883832,0.95946014,0.00009109924,0.00026116867,0.00048347592,0.0013747681,0.0012302175,0.0026741617,0.0015134336,0.0011138866,0.027845286],"study_design_scores_gemma":[0.00014451814,0.000366579,0.9939032,0.000033107972,0.00008769147,0.0001711085,0.000735456,0.0008976799,0.00087059103,0.0019829466,0.000787416,0.000019629768],"about_ca_topic_score_codex":0.0054179635,"about_ca_topic_score_gemma":0.00452146,"teacher_disagreement_score":0.0054179635,"about_ca_system_score_codex":0.00029751452,"about_ca_system_score_gemma":0.00027633278,"threshold_uncertainty_score":0.013043582},"labels":[],"label_agreement":null},{"id":"W4407405323","doi":"10.3390/jrfm18020095","title":"How Retail vs. Institutional Investor Sentiment Differ in Affecting Chinese Stock Returns?","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Stock (firearms); Institutional investor; Monetary economics; Financial system; Financial economics; Economics; Finance; Corporate governance","score_opus":0.012642908339684225,"score_gpt":0.20468770875699355,"score_spread":0.1920448004173093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407405323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977744,0.00017634862,0.0001334057,0.00014329456,0.000009061591,0.0000053686513,0.000098184246,0.0000026202622,0.0016572772],"genre_scores_gemma":[0.99946743,0.00006785714,0.00001915461,0.00002684942,0.000008740029,0.0000011920979,0.00007108322,8.725334e-7,0.0003369548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973506,0.000035722944,0.0000234836,0.000058444075,0.00006470008,0.000082594976],"domain_scores_gemma":[0.99900657,0.00017877825,0.00046563477,0.0000663821,0.00014464904,0.00013793139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074038253,0.00017984356,0.00022766551,0.00061998045,0.00027688342,0.0010070772,0.00017046627,0.0002722914,0.0016616152],"category_scores_gemma":[0.0017045886,0.000089128174,0.00037361323,0.00067476067,0.0004344418,0.00069478736,0.00039367896,0.00028787434,0.00016900015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062665604,0.000023889981,0.9902473,0.000021430918,0.00010103723,0.00021876492,0.0006567553,0.0002992875,0.0008285345,0.0006929977,0.00027711262,0.006570269],"study_design_scores_gemma":[0.0000019947145,0.000020050356,0.99799263,0.00000423779,0.000035193465,0.000028880717,0.00045478294,0.00078351895,0.0001884438,0.00014848815,0.00033608478,0.0000056293593],"about_ca_topic_score_codex":0.016787158,"about_ca_topic_score_gemma":0.02275878,"teacher_disagreement_score":0.016787158,"about_ca_system_score_codex":0.0005721762,"about_ca_system_score_gemma":0.00032544823,"threshold_uncertainty_score":0.0333789},"labels":[],"label_agreement":null},{"id":"W4407578663","doi":"10.2139/ssrn.5086580","title":"&lt;p&gt;&lt;span&gt;Asset Co-movement, Investor Sentiment, and Market Volatility: An Analysis of the VIX and MOVE Index&lt;b&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Volatility (finance); Index (typography); Span (engineering); Economics; Monetary economics; Financial economics; Computer science; Engineering","score_opus":0.010471864392378754,"score_gpt":0.22201394454913762,"score_spread":0.21154208015675885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407578663","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9229334,0.0065619447,0.0074261534,0.009237319,0.00023675017,0.000025086287,0.0029859394,0.00012763581,0.050465733],"genre_scores_gemma":[0.9909078,0.0015573013,0.00058772217,0.00012627596,0.00012865163,0.000012062426,0.0008626895,0.00004513742,0.0057723057],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998878,0.000035381596,0.0000059010163,0.000023209683,0.00003269945,0.000014943554],"domain_scores_gemma":[0.9989004,0.00064226694,0.00025007885,0.00004163638,0.00005799397,0.00010764511],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035882642,0.00014328091,0.00029872303,0.0008112438,0.00024092205,0.0013761668,0.00024697796,0.0004685312,0.009740514],"category_scores_gemma":[0.002339312,0.00011139785,0.00027216654,0.0012856666,0.00034802628,0.00090626645,0.00041296126,0.0006438942,0.001191074],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007049534,0.00020121034,0.50376433,0.00023486953,0.0006650008,0.0009854401,0.0008650249,0.018539708,0.0029195664,0.1670636,0.09367591,0.2103805],"study_design_scores_gemma":[0.000053698648,0.00022950314,0.78144425,0.00013369424,0.0002524961,0.00029762805,0.0007616233,0.06707769,0.0014751835,0.11421424,0.033990726,0.000069226364],"about_ca_topic_score_codex":0.007733273,"about_ca_topic_score_gemma":0.009000842,"teacher_disagreement_score":0.99025947,"about_ca_system_score_codex":0.00051668554,"about_ca_system_score_gemma":0.00027987323,"threshold_uncertainty_score":0.032585204},"labels":[],"label_agreement":null},{"id":"W4407640476","doi":"10.1016/j.jimonfin.2025.103305","title":"Compass guided: Northbound capital flow and investment clustering in China","year":2025,"lang":"en","type":"article","venue":"Journal of International Money and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Compass; Investment (military); Economics; Cluster analysis; China; Capital flows; Capital (architecture); Monetary economics; Microeconomics; Computer science; Art; Artificial intelligence; Political science; Law; Visual arts; Geography; Cartography","score_opus":0.015779950266930895,"score_gpt":0.2268769435439722,"score_spread":0.2110969932770413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407640476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977519,0.00011627757,0.00019531285,0.00023690985,0.000003873595,0.0000036134911,0.00024701798,0.000010405995,0.0014346668],"genre_scores_gemma":[0.99884653,0.000035357323,0.000028557964,0.0000101647165,0.000004750704,0.0000014282385,0.0001659248,0.000001939284,0.0009053426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979335,0.000022748784,0.000013606571,0.00006366961,0.00003290196,0.00007381707],"domain_scores_gemma":[0.99879444,0.00016327032,0.00037165242,0.000093350885,0.00025662227,0.000320728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034433237,0.00018903216,0.00035326142,0.001608948,0.0007925708,0.001200636,0.00042271253,0.00035836847,0.003641365],"category_scores_gemma":[0.0010724473,0.0001958705,0.00034695957,0.002048706,0.0005294931,0.0008513465,0.0007828067,0.0002878985,0.00025534385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089451016,0.00003139915,0.9779172,0.000022513701,0.0000920177,0.00027022482,0.0006126553,0.0062464178,0.0004280198,0.005341775,0.0016437293,0.0073046344],"study_design_scores_gemma":[0.0000059198514,0.000021888052,0.9819936,0.0000084612075,0.00003149938,0.00003957956,0.0008588213,0.013992419,0.00015615864,0.001847415,0.0010293652,0.000014865299],"about_ca_topic_score_codex":0.1289762,"about_ca_topic_score_gemma":0.15961637,"teacher_disagreement_score":0.1289762,"about_ca_system_score_codex":0.0022169591,"about_ca_system_score_gemma":0.001750071,"threshold_uncertainty_score":0.25645095},"labels":[],"label_agreement":null},{"id":"W4407687694","doi":"10.2139/ssrn.5093509","title":"Data, Markups, and Asset Prices","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Asset (computer security); Economics; Capital asset pricing model; Monetary economics; Financial economics; Econometrics; Business; Computer science","score_opus":0.03399113818488526,"score_gpt":0.2504842388204557,"score_spread":0.21649310063557042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407687694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6806345,0.0055953,0.039135255,0.008275692,0.00052348716,0.00011239746,0.22295742,0.0011128336,0.041653145],"genre_scores_gemma":[0.9425453,0.0013156694,0.0034283863,0.00019514943,0.00023645964,0.000052434774,0.046109308,0.000078727804,0.0060385307],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984168,0.0005796123,0.00023143453,0.00025013828,0.00040521225,0.00011677326],"domain_scores_gemma":[0.95962995,0.025226593,0.007583742,0.00479676,0.002234318,0.00052874454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002847152,0.0003550143,0.00042939078,0.00237567,0.00030061434,0.0027678562,0.0008586731,0.0012116572,0.016329402],"category_scores_gemma":[0.051623706,0.00027857596,0.00027590524,0.0048133577,0.0005255991,0.0030148274,0.0005665551,0.001015417,0.004400142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022766294,0.00048062336,0.5225765,0.0010992601,0.00047777532,0.00064062985,0.00069250894,0.04089147,0.0021661522,0.17748588,0.09073789,0.16047463],"study_design_scores_gemma":[0.00026288492,0.00040611744,0.31514344,0.00034379747,0.00032355537,0.00143658,0.0009724735,0.1036147,0.010600321,0.45889792,0.107763,0.00023512592],"about_ca_topic_score_codex":0.0024711313,"about_ca_topic_score_gemma":0.0017205152,"teacher_disagreement_score":0.016329402,"about_ca_system_score_codex":0.00057780393,"about_ca_system_score_gemma":0.00036161937,"threshold_uncertainty_score":0.0546273},"labels":[],"label_agreement":null},{"id":"W4407858094","doi":"10.1016/j.jbankfin.2025.107411","title":"Returns from liquidity provision in cryptocurrency markets","year":2025,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Concordia University; National Natural Science Foundation of China; University of Western Australia; British Academy of Management","keywords":"Cryptocurrency; Market liquidity; Business; Monetary economics; Economics; Financial system; Financial economics; Computer science; Computer security","score_opus":0.019777028575712643,"score_gpt":0.23563182157663887,"score_spread":0.21585479300092622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407858094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990055,0.000055232325,0.0003237617,0.00008387666,0.0000018813577,0.0000036211068,0.00007449395,0.00001755607,0.00043410354],"genre_scores_gemma":[0.9997272,0.000018287506,0.00004028529,0.000006619785,0.0000044744743,8.335318e-7,0.000066165565,0.0000014450055,0.00013463809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996799,0.000049636856,0.000025869045,0.0000454449,0.0000795484,0.000119575045],"domain_scores_gemma":[0.99133986,0.0018811702,0.005032161,0.00041039367,0.00042283625,0.0009135615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011190455,0.00033029882,0.00036843013,0.00089784304,0.00017866064,0.0014073806,0.00036589074,0.00064621255,0.002209319],"category_scores_gemma":[0.008204442,0.00015726597,0.00045115448,0.00070916064,0.00045770913,0.0013635617,0.000617108,0.0009884137,0.00026715736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013313371,0.00048214683,0.92797476,0.000065237895,0.00019300023,0.00081298145,0.00022671754,0.025802825,0.01043964,0.008094325,0.00076328666,0.023813706],"study_design_scores_gemma":[0.00007529602,0.00049136765,0.8884928,0.000017370568,0.00009960329,0.00025777466,0.00022052167,0.09805393,0.0048029465,0.006902021,0.00053550827,0.000050834995],"about_ca_topic_score_codex":0.0046695997,"about_ca_topic_score_gemma":0.003793845,"teacher_disagreement_score":0.0046695997,"about_ca_system_score_codex":0.0007564184,"about_ca_system_score_gemma":0.0003794683,"threshold_uncertainty_score":0.009284854},"labels":[],"label_agreement":null},{"id":"W4408025562","doi":"10.3390/jrfm18030124","title":"Order Book Liquidity on Crypto Exchanges","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Order (exchange); Market liquidity; Business; Computer science; Mathematics; Economics; Monetary economics; Finance","score_opus":0.013752556020373985,"score_gpt":0.21051673028562057,"score_spread":0.1967641742652466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408025562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981654,0.00023729505,0.00034149605,0.000048644,0.000003180156,0.00000440496,0.00039696434,0.000018212295,0.0007844206],"genre_scores_gemma":[0.9991843,0.00008115272,0.00013040294,0.0000052899995,0.000009779569,0.0000032904707,0.00039517612,0.0000053014696,0.00018530252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948287,0.0000947954,0.00004230615,0.00010460044,0.00015600989,0.000119448676],"domain_scores_gemma":[0.9904793,0.004384386,0.00349083,0.00048598647,0.000607045,0.00055245456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013223989,0.00042525094,0.0005684345,0.0026767815,0.00041868095,0.0016080085,0.0004684033,0.0005966469,0.0022214814],"category_scores_gemma":[0.008840233,0.00016521897,0.00036219638,0.0028400968,0.00079723157,0.0018376067,0.0007281458,0.00071723404,0.00022451997],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047756517,0.0005978249,0.6639698,0.00024725558,0.00049070193,0.0023952953,0.0009527285,0.24943173,0.019002762,0.016860658,0.0021811044,0.039094526],"study_design_scores_gemma":[0.00018585687,0.00057322,0.61322314,0.00007369421,0.00019549017,0.0009446209,0.0005540706,0.3609633,0.009112366,0.011891162,0.0021225591,0.00016046972],"about_ca_topic_score_codex":0.002447727,"about_ca_topic_score_gemma":0.0017605218,"teacher_disagreement_score":0.0026767815,"about_ca_system_score_codex":0.0007449307,"about_ca_system_score_gemma":0.0002258761,"threshold_uncertainty_score":0.0074316263},"labels":[],"label_agreement":null},{"id":"W4408027737","doi":"10.2139/ssrn.5086547","title":"ESG Choice with Polarized Investors","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business","score_opus":0.01116724896890884,"score_gpt":0.20615392901295837,"score_spread":0.19498668004404954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408027737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91430056,0.00016779487,0.022023031,0.0028744342,0.000057217196,0.000028184802,0.00023190743,0.00006358835,0.060253292],"genre_scores_gemma":[0.99178606,0.00008391057,0.0010732863,0.00009271345,0.000022643293,0.000007716729,0.00004026845,0.000010517083,0.0068827174],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99947864,0.00019616184,0.000014712672,0.00006545357,0.000058306345,0.00018681052],"domain_scores_gemma":[0.99740535,0.0011555596,0.00037396542,0.0002933388,0.00021594533,0.0005558932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014339548,0.00021440945,0.00059881626,0.00053780153,0.0005594312,0.002613494,0.000399036,0.0015047968,0.014028747],"category_scores_gemma":[0.006706957,0.00020632449,0.0003395767,0.00040818824,0.00091139803,0.00197971,0.00084422034,0.0012478117,0.0008183873],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015488183,0.00022079027,0.032598432,0.00006835694,0.00009634681,0.0012278398,0.00040821108,0.015333348,0.0020772316,0.8881128,0.007916715,0.050391313],"study_design_scores_gemma":[0.00021298,0.00014150691,0.009394068,0.000029918969,0.00006532891,0.00047606885,0.0010308361,0.09506554,0.00155032,0.88733524,0.004663907,0.000034213925],"about_ca_topic_score_codex":0.0008880842,"about_ca_topic_score_gemma":0.00091487035,"teacher_disagreement_score":0.014028747,"about_ca_system_score_codex":0.0004855331,"about_ca_system_score_gemma":0.0003496602,"threshold_uncertainty_score":0.04693085},"labels":[],"label_agreement":null},{"id":"W4408252588","doi":"10.1016/j.frl.2025.107133","title":"Leverage risk and REIT returns","year":2025,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Real estate investment trust; Leverage (statistics); Business; Financial economics; Economics; Monetary economics; Financial system; Finance; Computer science; Real estate","score_opus":0.052320793228392164,"score_gpt":0.28508080700874217,"score_spread":0.23276001378035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408252588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9686555,0.0020033943,0.01019314,0.0010046754,0.000030109333,0.000022517388,0.0008060055,0.00015463104,0.017130017],"genre_scores_gemma":[0.9975694,0.00037290677,0.00025196883,0.000026703807,0.000029366065,0.0000033682988,0.0002776599,0.00001346613,0.0014551107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954295,0.00006632564,0.000029728648,0.00007232323,0.0001530617,0.00013565482],"domain_scores_gemma":[0.9940294,0.001325357,0.0035071913,0.00033052315,0.00050661655,0.0003010116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080176303,0.000511505,0.0003742408,0.0011180658,0.0002664616,0.0025505302,0.0003879333,0.00065283396,0.0036839584],"category_scores_gemma":[0.008667959,0.00019282557,0.00037870632,0.0013593372,0.0006196396,0.002312404,0.00092463614,0.0013274767,0.00081469497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034096415,0.00018147125,0.75264,0.00013168702,0.00030288202,0.0020504864,0.00037941543,0.085371174,0.0049289004,0.076548375,0.004307191,0.072817475],"study_design_scores_gemma":[0.000019179932,0.00027861138,0.7283428,0.00014013395,0.00013856357,0.001383215,0.00088820374,0.19753854,0.0076192417,0.050914142,0.0126075465,0.0001297557],"about_ca_topic_score_codex":0.007194987,"about_ca_topic_score_gemma":0.0060827523,"teacher_disagreement_score":0.007194987,"about_ca_system_score_codex":0.0010216774,"about_ca_system_score_gemma":0.00032901936,"threshold_uncertainty_score":0.014306247},"labels":[],"label_agreement":null},{"id":"W4408388592","doi":"10.3390/jrfm18030153","title":"Environmental, Social and Governance-Valued Portfolio Optimization and Dynamic Asset Pricing","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Business; Portfolio; Corporate governance; Asset (computer security); Replicating portfolio; Financial economics; Portfolio optimization; Finance; Economics; Computer science","score_opus":0.007186280798866687,"score_gpt":0.19720273205904781,"score_spread":0.19001645126018113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408388592","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.080633625,0.0006898956,0.892699,0.0017564449,0.00010232354,0.00010440299,0.00023492133,0.00008873607,0.023690552],"genre_scores_gemma":[0.92268133,0.000797049,0.06754421,0.0001087657,0.0001339567,0.000120763616,0.00021188914,0.00004866595,0.008353377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976305,0.0013217683,0.000101620426,0.0003343755,0.0003900252,0.00022174594],"domain_scores_gemma":[0.9964095,0.00174509,0.00082288287,0.000369714,0.0004122627,0.00024046132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034747813,0.00093997474,0.00085320213,0.00095120433,0.00040014295,0.004440257,0.0009909902,0.0013782516,0.0042081205],"category_scores_gemma":[0.012962439,0.00035594386,0.0009649176,0.0013018983,0.0020982819,0.004788436,0.0017699727,0.0021693015,0.00034085056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021632995,0.000056273664,0.0043611214,0.000048982878,0.000061859195,0.00009880509,0.00009576811,0.21043509,0.0004188228,0.75435114,0.001365455,0.02868498],"study_design_scores_gemma":[0.0000066684383,0.000052890347,0.0026638496,0.00002589022,0.00001690722,0.00005134019,0.00007475191,0.48044804,0.00030823008,0.514034,0.0022905245,0.000026917283],"about_ca_topic_score_codex":0.002163069,"about_ca_topic_score_gemma":0.0016195317,"teacher_disagreement_score":0.004440257,"about_ca_system_score_codex":0.0018068417,"about_ca_system_score_gemma":0.001270519,"threshold_uncertainty_score":0.018376648},"labels":[],"label_agreement":null},{"id":"W4408532356","doi":"10.3390/jrfm18030158","title":"Optimizing Portfolios with Pakistan-Exposed Exchange-Traded Funds: Risk and Performance Insight","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Monetary economics; Financial system; Economics","score_opus":0.012033630109319333,"score_gpt":0.19871781879442812,"score_spread":0.1866841886851088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408532356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.755468,0.001226839,0.23255946,0.00087993743,0.000036109937,0.00010009172,0.00018505566,0.00008060318,0.009463847],"genre_scores_gemma":[0.981244,0.0003788359,0.017504178,0.000036718087,0.000012201968,0.000023280414,0.00006510513,0.000008186204,0.00072747696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996214,0.00015010012,0.000024832329,0.00006279641,0.00007793957,0.0000630209],"domain_scores_gemma":[0.9989297,0.000652284,0.00019703554,0.000059589107,0.00011818475,0.000043248387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020119126,0.000688039,0.00060870044,0.0004726106,0.00024744746,0.0017056843,0.00044821308,0.00078334287,0.00093225035],"category_scores_gemma":[0.0049804263,0.00024491208,0.0003867904,0.00045872398,0.00037168153,0.0011631768,0.00082964415,0.0005594248,0.00008227828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005861565,0.000037252514,0.0053923675,0.00004561458,0.000037919028,0.0001114399,0.00003895814,0.9737545,0.000577986,0.006219909,0.00018272665,0.013542635],"study_design_scores_gemma":[0.000015970116,0.0001409884,0.0025761423,0.000025430132,0.000028998396,0.00006008481,0.00009295588,0.9908722,0.0010509783,0.004561727,0.0005634536,0.000011128254],"about_ca_topic_score_codex":0.0047382643,"about_ca_topic_score_gemma":0.0026111742,"teacher_disagreement_score":0.0047382643,"about_ca_system_score_codex":0.00065186806,"about_ca_system_score_gemma":0.0010543464,"threshold_uncertainty_score":0.010640144},"labels":[],"label_agreement":null},{"id":"W4408798723","doi":"10.1108/jes-10-2024-0675","title":"How does investor attention with different levels of informational advantage affect market returns?","year":2025,"lang":"en","type":"article","venue":"Journal of Economic Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Affect (linguistics); Economics; Monetary economics; Business; Financial economics; Psychology","score_opus":0.03529569161087472,"score_gpt":0.2548820461802338,"score_spread":0.21958635456935907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408798723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957547,0.00049042486,0.00095242687,0.0002903234,0.000010148572,0.000014478605,0.00015277042,0.000010502544,0.0023242566],"genre_scores_gemma":[0.99940825,0.00009803825,0.00009933021,0.000039784805,0.00001484346,0.0000037063412,0.00006278242,0.0000014281289,0.00027178545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995214,0.0001335194,0.000040078252,0.00010661828,0.00008068158,0.0001178481],"domain_scores_gemma":[0.9877444,0.0065506687,0.0042659463,0.00046937808,0.00040804295,0.00056169374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014054219,0.00028403712,0.00043661232,0.0006572956,0.0002015298,0.0016330113,0.00029869,0.00077424326,0.0033770006],"category_scores_gemma":[0.011375622,0.000108965985,0.00041832606,0.00060606934,0.0004821157,0.0014492521,0.00069520425,0.00058325345,0.00033935453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005151754,0.00023645547,0.96659684,0.00011080891,0.00037804976,0.0003005642,0.00035913696,0.003729506,0.0016992141,0.0020772005,0.0005082129,0.023488726],"study_design_scores_gemma":[0.000021935915,0.00031732,0.9843381,0.000028228555,0.00023959696,0.00014907804,0.00060369266,0.010123303,0.00085345143,0.0027525981,0.0005513182,0.000021408876],"about_ca_topic_score_codex":0.0030056515,"about_ca_topic_score_gemma":0.0028745364,"teacher_disagreement_score":0.0033770006,"about_ca_system_score_codex":0.0004986057,"about_ca_system_score_gemma":0.00024711434,"threshold_uncertainty_score":0.011297166},"labels":[],"label_agreement":null},{"id":"W4409284079","doi":"10.1016/j.jbankfin.2025.107446","title":"Sell-side analysts and mutual fund managers: Complements or substitutes?","year":2025,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Korea University","keywords":"Business; Mutual fund; Finance","score_opus":0.052285973816643384,"score_gpt":0.2691984506180013,"score_spread":0.21691247680135792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409284079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9012976,0.012748152,0.0015837788,0.011957801,0.00027007962,0.00003862199,0.00022573829,0.000040002917,0.07183813],"genre_scores_gemma":[0.99161726,0.0018767081,0.00046727728,0.00054660375,0.0002240108,0.000014813475,0.0000638603,0.000009301776,0.005180204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997509,0.001149601,0.000093646166,0.00029231893,0.0003911913,0.00056415284],"domain_scores_gemma":[0.95947343,0.02543907,0.008677995,0.0010545609,0.0016546961,0.0037002491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036645702,0.0008304719,0.0016203253,0.0018706715,0.001402587,0.007610752,0.0010956204,0.00440252,0.023211839],"category_scores_gemma":[0.021527674,0.0012010599,0.0006558492,0.00141836,0.0024257563,0.008860046,0.003056776,0.0018698374,0.001726736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046525267,0.002498019,0.53385895,0.000942765,0.001297201,0.0039488818,0.012553249,0.0032396424,0.0022412823,0.21371263,0.020358287,0.20069651],"study_design_scores_gemma":[0.0010008247,0.0017122428,0.42244416,0.002140039,0.003319548,0.006016195,0.09055238,0.014749019,0.0021784592,0.41294828,0.04255526,0.00038367455],"about_ca_topic_score_codex":0.0037904275,"about_ca_topic_score_gemma":0.008668184,"teacher_disagreement_score":0.023211839,"about_ca_system_score_codex":0.000781502,"about_ca_system_score_gemma":0.0015587274,"threshold_uncertainty_score":0.07765132},"labels":[],"label_agreement":null},{"id":"W4409313768","doi":"10.1016/j.gfj.2025.101110","title":"Comovement and S&amp;P 500 membership","year":2025,"lang":"en","type":"article","venue":"Global Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Alberta School of Business, University of Alberta","keywords":"Economics; Monetary economics; Keynesian economics","score_opus":0.029075285972000476,"score_gpt":0.2435947174664214,"score_spread":0.2145194314944209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409313768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981724,0.0000519395,0.00056914095,0.000042599357,0.000003018496,0.000005953254,0.000063068524,0.000007080933,0.0010847918],"genre_scores_gemma":[0.9996871,0.000010959447,0.000085283136,0.00000425878,0.000004180122,0.0000017746837,0.00008120834,0.0000010811345,0.0001241183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99802905,0.00048650408,0.00021037491,0.00032264763,0.0006681316,0.0002832297],"domain_scores_gemma":[0.9749943,0.01121223,0.008070076,0.0017160544,0.0015288622,0.0024785423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024988342,0.00027823303,0.00080123066,0.0022958096,0.0005719188,0.0021230744,0.0006397707,0.00078753947,0.0027896224],"category_scores_gemma":[0.022686442,0.00013826767,0.00028733365,0.0022423123,0.00093985564,0.0014455086,0.0018431357,0.00074096123,0.0005204414],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072030246,0.00028025676,0.97221655,0.000031442167,0.00018207236,0.00040103545,0.0009445767,0.0026361996,0.002517315,0.0031620234,0.00042936305,0.016478887],"study_design_scores_gemma":[0.000028322009,0.00041422684,0.9720205,0.000013219266,0.0000552037,0.00038879178,0.0017754835,0.014700743,0.0016007859,0.008036341,0.00093811576,0.000028170056],"about_ca_topic_score_codex":0.0011941418,"about_ca_topic_score_gemma":0.0008694627,"teacher_disagreement_score":0.0027896224,"about_ca_system_score_codex":0.000518406,"about_ca_system_score_gemma":0.00022133006,"threshold_uncertainty_score":0.013215244},"labels":[],"label_agreement":null},{"id":"W4409319593","doi":"10.1142/9789819809950_0047","title":"Is the Market Portfolio Mean–Variance Efficient?","year":2025,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Portfolio; Variance (accounting); Econometrics; Financial economics; Economics; Mathematics; Accounting","score_opus":0.030617647609646036,"score_gpt":0.21094315605648795,"score_spread":0.18032550844684192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409319593","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16417015,0.008181106,0.6374978,0.012216775,0.00085564365,0.00007094093,0.00061490794,0.00040886123,0.1759839],"genre_scores_gemma":[0.9219058,0.0050883223,0.032359198,0.0012745038,0.0018266124,0.00008630457,0.0003844297,0.00038722466,0.03668763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982856,0.00045428134,0.00011813648,0.00037483522,0.000553299,0.00021385103],"domain_scores_gemma":[0.9921737,0.0049194065,0.001135991,0.00095117075,0.0006767329,0.00014298802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038281276,0.0007042556,0.0017537336,0.0011811436,0.0004073414,0.0051410864,0.001431188,0.0023307577,0.007797831],"category_scores_gemma":[0.027046142,0.0007401313,0.0010200654,0.0014340142,0.0021664351,0.0094178105,0.0010731453,0.002126013,0.0020207586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007966079,0.000047470065,0.00259092,0.00014668654,0.00019078929,0.00014690141,0.000081578204,0.013137421,0.0011679172,0.8973776,0.007467808,0.077565305],"study_design_scores_gemma":[0.00002066141,0.00003086949,0.0023175257,0.000056054687,0.000055507033,0.00025460214,0.0000376169,0.036634024,0.0006603008,0.95504606,0.0048625814,0.000024326011],"about_ca_topic_score_codex":0.0006445238,"about_ca_topic_score_gemma":0.0004171416,"teacher_disagreement_score":0.007797831,"about_ca_system_score_codex":0.0008219453,"about_ca_system_score_gemma":0.0007882185,"threshold_uncertainty_score":0.02608639},"labels":[],"label_agreement":null},{"id":"W4409372397","doi":"10.1016/j.jeca.2025.e00415","title":"Explaining the asymmetric S&amp;P 500 equity index in five themes: The success and failure of macro narratives","year":2025,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Macro; Equity (law); Index (typography); Narrative; Financial economics; Political science; Philosophy","score_opus":0.02954816284973666,"score_gpt":0.2730309281951953,"score_spread":0.24348276534545865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409372397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5122977,0.0050381436,0.046259917,0.13052897,0.00067223626,0.00008876528,0.00064964895,0.00011719162,0.30434746],"genre_scores_gemma":[0.99271095,0.0007908842,0.002327283,0.00078032794,0.00017034676,0.00002634539,0.00006703092,0.00008566406,0.0030411747],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99789834,0.0012673996,0.000081844104,0.0002095227,0.0003052124,0.00023758477],"domain_scores_gemma":[0.98656994,0.00963398,0.0014957151,0.00095493445,0.00081524503,0.0005301757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005638125,0.00051886775,0.00034900097,0.0031457832,0.0033468492,0.011528883,0.001370732,0.0025312547,0.005081879],"category_scores_gemma":[0.019844111,0.0004468918,0.00019487891,0.0022565285,0.018484052,0.022672502,0.006309301,0.004374693,0.00045986974],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003330342,0.000012496336,0.0026420015,0.000033602253,0.0000060929347,0.0002324624,0.050442133,0.00020962149,0.0001665981,0.9356242,0.0021829826,0.008414603],"study_design_scores_gemma":[0.000011076226,0.000012576554,0.0030421785,0.00024124862,0.000011810321,0.00012682381,0.068788745,0.0028723506,0.00045038087,0.8700056,0.054411292,0.000025879026],"about_ca_topic_score_codex":0.004181793,"about_ca_topic_score_gemma":0.004513984,"teacher_disagreement_score":0.011528883,"about_ca_system_score_codex":0.004233672,"about_ca_system_score_gemma":0.0022300496,"threshold_uncertainty_score":0.030717611},"labels":[],"label_agreement":null},{"id":"W4409387841","doi":"10.1016/j.intfin.2025.102162","title":"An intertemporal international asset pricing model: Theory and evidence","year":2025,"lang":"en","type":"article","venue":"Journal of International Financial Markets Institutions and Money","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Brock University; University of British Columbia, Okanagan Campus","funders":"","keywords":"Economics; Capital asset pricing model; Consumption-based capital asset pricing model; Financial economics; Arbitrage pricing theory; Investment theory; Econometrics","score_opus":0.03708364227207618,"score_gpt":0.2919051602991176,"score_spread":0.25482151802704145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409387841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4785234,0.004520404,0.47257987,0.005193153,0.00019394608,0.00008002637,0.000533967,0.00028585026,0.03808937],"genre_scores_gemma":[0.9725342,0.0028730168,0.018111365,0.00019854608,0.00012484274,0.00005214667,0.00035125198,0.00004516858,0.005709447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995134,0.00026578904,0.000023303994,0.000087716995,0.000055638713,0.000054144148],"domain_scores_gemma":[0.99595934,0.0030696196,0.0003716272,0.00019224583,0.00025114865,0.00015604841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002700457,0.000981782,0.0017167715,0.00088513206,0.0006286076,0.0039181607,0.0021923762,0.0024310688,0.005230511],"category_scores_gemma":[0.00897094,0.0006416457,0.0010295582,0.0016639157,0.0017850439,0.0050433585,0.00091853086,0.0027437469,0.0005871782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020513208,0.00024305804,0.0054917186,0.0000991444,0.00016245476,0.00027828617,0.00023105645,0.5599679,0.00032765412,0.41550684,0.00256459,0.014922196],"study_design_scores_gemma":[0.000055002427,0.000031278498,0.000764189,0.000017659026,0.000060340986,0.00006344261,0.00003759732,0.8626312,0.000052859366,0.13543107,0.0008378607,0.000017472594],"about_ca_topic_score_codex":0.008288619,"about_ca_topic_score_gemma":0.003980901,"teacher_disagreement_score":0.008288619,"about_ca_system_score_codex":0.0010618333,"about_ca_system_score_gemma":0.001030894,"threshold_uncertainty_score":0.017497838},"labels":[],"label_agreement":null},{"id":"W4409451831","doi":"10.1016/j.jbef.2025.101051","title":"Financial forecasting in the lab and the field: Qualified professionals vs. smart students","year":2025,"lang":"en","type":"article","venue":"Journal of Behavioral and Experimental Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Social and Economic Research, Memorial University of Newfoundland; Université de Lyon; Osaka University; Japan Society for the Promotion of Science; Agency for Science, Technology and Research; Agence Nationale de la Recherche; Nanyang Technological University; Ministry of Education - Singapore; Kansai University; International Society for Eye Research","keywords":"Field (mathematics); Finance; Business; Economics; Mathematics","score_opus":0.04581125787427054,"score_gpt":0.3277881028874728,"score_spread":0.28197684501320225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409451831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99892586,0.000041683135,0.00008876854,0.00004493931,0.0000090117055,0.000009125535,0.000057501995,0.0000063478346,0.0008168267],"genre_scores_gemma":[0.99907744,0.00003593739,0.00014205778,0.000064619795,0.00000888465,0.000013688958,0.0001613451,0.0000029624498,0.00049304287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991704,0.0001515851,0.00007628017,0.00016715759,0.00017327651,0.00026136314],"domain_scores_gemma":[0.9889269,0.003913693,0.0016126204,0.00078573136,0.00086541305,0.0038956404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022722268,0.0003668173,0.00042698215,0.00098304,0.00033508873,0.0018743593,0.00032106077,0.0009941321,0.004368357],"category_scores_gemma":[0.011287749,0.00019935507,0.0003214847,0.0004592238,0.0006076044,0.0017648301,0.0014532856,0.0007585645,0.0016315728],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004292626,0.0038597265,0.91654265,0.00008716757,0.00010568965,0.00019847148,0.0036091835,0.0012113901,0.004759824,0.00061141304,0.0018064771,0.06291543],"study_design_scores_gemma":[0.00023153816,0.0054027853,0.98115206,0.00003985379,0.000042519485,0.00020124116,0.004281153,0.0040303506,0.0019724728,0.0012187563,0.0013733151,0.000053887987],"about_ca_topic_score_codex":0.0023812482,"about_ca_topic_score_gemma":0.0024621342,"teacher_disagreement_score":0.004368357,"about_ca_system_score_codex":0.00029594894,"about_ca_system_score_gemma":0.0005105939,"threshold_uncertainty_score":0.014613628},"labels":[],"label_agreement":null},{"id":"W4409808447","doi":"10.1007/978-3-031-81653-6_258","title":"Rebalancing Portfolios with Private Assets","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CARE Canada; University of Toronto","funders":"","keywords":"Business","score_opus":0.01940181234603211,"score_gpt":0.19145591267642195,"score_spread":0.17205410033038984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409808447","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07559756,0.013738993,0.65322983,0.0046453243,0.00092782965,0.00013711654,0.00022303191,0.001327416,0.25017282],"genre_scores_gemma":[0.66776145,0.006685011,0.11706697,0.0005669238,0.000710304,0.00009250996,0.00023892047,0.00042896258,0.20644893],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996569,0.0001035985,0.000017972272,0.000051559207,0.00012729545,0.00004261473],"domain_scores_gemma":[0.99939656,0.00025411072,0.00006979513,0.00014516745,0.00009537844,0.000038872746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097149564,0.0006460019,0.000615512,0.00035253522,0.00023581386,0.002418407,0.00076439796,0.0006988292,0.0125668775],"category_scores_gemma":[0.0038301994,0.00021482956,0.00025129697,0.0006323448,0.0004085881,0.0035259041,0.0009310569,0.0010370564,0.0022445815],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012331932,0.00016067452,0.0008532102,0.00012455731,0.00006759133,0.00019375632,0.00013970205,0.074172534,0.0054690167,0.29725012,0.023756491,0.59768903],"study_design_scores_gemma":[0.00004959227,0.00016604448,0.0010012507,0.00013938796,0.000057333167,0.00036733158,0.0001488565,0.2162805,0.0066088885,0.6865522,0.088604346,0.000024284795],"about_ca_topic_score_codex":0.00041006986,"about_ca_topic_score_gemma":0.0007379748,"teacher_disagreement_score":0.0125668775,"about_ca_system_score_codex":0.0005335128,"about_ca_system_score_gemma":0.00055800105,"threshold_uncertainty_score":0.042040348},"labels":[],"label_agreement":null},{"id":"W4409891227","doi":"10.2139/ssrn.5230768","title":"Uncovered Interest Parity in High Frequency","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Parity (physics); Interest rate parity; Economics; Physics; Monetary economics; Interest rate; Particle physics","score_opus":0.026804456116075678,"score_gpt":0.2315462013575374,"score_spread":0.20474174524146171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409891227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96271724,0.00016468395,0.03252149,0.000544726,0.00004503016,0.000011061066,0.0004593545,0.00012343602,0.0034129703],"genre_scores_gemma":[0.99865735,0.000026413245,0.00068232097,0.000019753727,0.00004155819,0.00000537938,0.0001062546,0.000010026627,0.0004509088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900025,0.00028449798,0.00005440697,0.00026901637,0.00017726749,0.00021448224],"domain_scores_gemma":[0.971309,0.020357935,0.00459763,0.002153555,0.0009086208,0.00067328446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024359296,0.00022747695,0.0007061653,0.0013028918,0.00042597088,0.0018842447,0.00072971056,0.0011663635,0.005672094],"category_scores_gemma":[0.037426908,0.0003695026,0.00025510954,0.0009985223,0.0009903422,0.002558487,0.0011285336,0.0011433335,0.00043905855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029276377,0.00048512622,0.22830606,0.00038041425,0.00022865648,0.006754086,0.0016611239,0.05436693,0.027841073,0.55059314,0.010151565,0.11630422],"study_design_scores_gemma":[0.0001967357,0.00022139259,0.055001132,0.00005945599,0.00008581085,0.0026299055,0.00043027123,0.4604901,0.007200642,0.4714139,0.0021986817,0.00007190753],"about_ca_topic_score_codex":0.00059553306,"about_ca_topic_score_gemma":0.00021722814,"teacher_disagreement_score":0.005672094,"about_ca_system_score_codex":0.000412269,"about_ca_system_score_gemma":0.00026005003,"threshold_uncertainty_score":0.018975079},"labels":[],"label_agreement":null},{"id":"W4409964933","doi":"10.1080/14697688.2025.2490630","title":"Enhanced indexation: can volatility timing improve portfolio performance?","year":2025,"lang":"en","type":"article","venue":"Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Indexation; Volatility (finance); Portfolio; Economics; Econometrics; Volatility smile; Implied volatility; Volatility swap; Financial economics; Monetary economics; Monetary policy","score_opus":0.037838539962962645,"score_gpt":0.25960458718469376,"score_spread":0.2217660472217311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409964933","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29674253,0.0010076371,0.6913802,0.00055338553,0.00009502243,0.000085799446,0.000064144304,0.0005177859,0.009553587],"genre_scores_gemma":[0.96435344,0.00015140057,0.0340508,0.00008102474,0.00004444729,0.000018493258,0.0000511394,0.00003654984,0.0012126267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932396,0.00018692845,0.000050345952,0.00014738318,0.00020475988,0.00008660402],"domain_scores_gemma":[0.99852043,0.0005283094,0.0004069029,0.000252409,0.00018947264,0.00010247431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014944979,0.0007849606,0.00085224584,0.00042860213,0.00025001148,0.0012583919,0.0012109966,0.00090320455,0.0016825461],"category_scores_gemma":[0.006594053,0.0002278088,0.00032401888,0.00048926513,0.00040377936,0.00219024,0.00089857186,0.0007322371,0.00030914458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044877073,0.00035808104,0.01136514,0.00012152239,0.00017497271,0.00028453523,0.00011453037,0.6266765,0.038867958,0.049442742,0.0016839027,0.27046132],"study_design_scores_gemma":[0.000056895675,0.0005244388,0.0022618612,0.000015249883,0.000054562057,0.00015047523,0.000022664712,0.9694865,0.00938295,0.016512692,0.0015050542,0.000026665577],"about_ca_topic_score_codex":0.0005146271,"about_ca_topic_score_gemma":0.0005425112,"teacher_disagreement_score":0.0016825461,"about_ca_system_score_codex":0.0005708775,"about_ca_system_score_gemma":0.00065257016,"threshold_uncertainty_score":0.007903755},"labels":[],"label_agreement":null},{"id":"W4409991094","doi":"10.31219/osf.io/mza48_v1","title":"Trading in the Bond Market Using Reinforcement Learning","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Bond; Reinforcement; Bond market; Economics; Business; Artificial intelligence; Computer science; Monetary economics; Psychology; Finance; Social psychology","score_opus":0.05821602083165353,"score_gpt":0.24961263160025102,"score_spread":0.19139661076859749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409991094","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13714856,0.0005359569,0.8521047,0.0011562833,0.00010543321,0.00006777792,0.000120158205,0.0005175129,0.008243595],"genre_scores_gemma":[0.95118654,0.00017011867,0.045279507,0.00011945042,0.00003424088,0.00004801429,0.00006528991,0.000029019617,0.0030678564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997663,0.00008076826,0.000008317503,0.000044734905,0.000057466896,0.000042412285],"domain_scores_gemma":[0.9991549,0.0004734331,0.0000930403,0.00004250844,0.00014253917,0.0000934924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084927847,0.00048819606,0.00065724045,0.00025581245,0.0003362885,0.00068294635,0.0011094011,0.00088453095,0.0023057153],"category_scores_gemma":[0.0034239455,0.0002820182,0.00033420435,0.0002400267,0.0009447788,0.00089374697,0.00071573805,0.0011410541,0.0002199775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026781092,0.000028718985,0.00091365894,0.000013084939,0.000015404921,0.000047089765,0.000019646754,0.978734,0.00047624565,0.010623508,0.0004198066,0.008681953],"study_design_scores_gemma":[0.0000036361419,0.0000049924624,0.00004089665,8.4821806e-7,0.0000013108637,0.0000024289589,0.0000010486749,0.9976599,0.0000440689,0.002152707,0.000086860644,0.0000012449856],"about_ca_topic_score_codex":0.03459194,"about_ca_topic_score_gemma":0.02660322,"teacher_disagreement_score":0.03459194,"about_ca_system_score_codex":0.0012697079,"about_ca_system_score_gemma":0.0016163728,"threshold_uncertainty_score":0.0687812},"labels":[],"label_agreement":null},{"id":"W4410051668","doi":"10.2139/ssrn.5240434","title":"Understanding Misunderstanding In Experimental Asset Markets","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Asset (computer security); Business; Financial economics; Economics; Computer science; Computer security","score_opus":0.08958969984724706,"score_gpt":0.26708469176334404,"score_spread":0.17749499191609697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410051668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9554911,0.00039364473,0.028418735,0.0023996083,0.00010974855,0.00006536689,0.0002563103,0.00018175661,0.0126836235],"genre_scores_gemma":[0.99213856,0.000166678,0.0062674196,0.0002673361,0.000055258217,0.000060773375,0.00017937708,0.00007795556,0.0007866295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99265105,0.004332193,0.00059113995,0.0008256359,0.0014041922,0.00019584567],"domain_scores_gemma":[0.7899084,0.16640204,0.016192524,0.020381445,0.0061592525,0.0009562235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013370369,0.00040462476,0.0005305288,0.0013585918,0.0008173734,0.0042879493,0.0012618112,0.0024515279,0.0061173136],"category_scores_gemma":[0.14283015,0.00046029428,0.00026052777,0.0010934419,0.0033710983,0.008742813,0.0022286621,0.0022538474,0.0006119268],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001803747,0.0018813956,0.11408859,0.0010069145,0.00027495294,0.0014722169,0.04697048,0.015333769,0.026046196,0.65113777,0.011018815,0.12896514],"study_design_scores_gemma":[0.00035491187,0.00040109496,0.03346434,0.00023823018,0.00016249265,0.0012256673,0.010187634,0.105433285,0.02491938,0.8093187,0.014147023,0.00014727286],"about_ca_topic_score_codex":0.00054109824,"about_ca_topic_score_gemma":0.00034839363,"teacher_disagreement_score":0.013370369,"about_ca_system_score_codex":0.0008221752,"about_ca_system_score_gemma":0.0007867867,"threshold_uncertainty_score":0.07071012},"labels":[],"label_agreement":null},{"id":"W4410087631","doi":"10.1109/cifercompanion65204.2025.10980396","title":"The Superiority of Direct Neuro Volatility Forecasts Over GARCH and Machine Learning Forecasts for Financial Assets","year":2025,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Volatility (finance); Autoregressive conditional heteroskedasticity; Computer science; Artificial intelligence; Econometrics; Machine learning; Financial economics; Economics","score_opus":0.029453244868060113,"score_gpt":0.2367293181970398,"score_spread":0.20727607332897968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410087631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28080714,0.0052416064,0.6700838,0.0018198347,0.000676465,0.00009205097,0.0022790104,0.0043832823,0.034616765],"genre_scores_gemma":[0.8997876,0.0014281662,0.09279608,0.00013030683,0.00017092445,0.000029401033,0.0008182905,0.00011740309,0.0047218674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948597,0.00011840911,0.000025704927,0.00012586194,0.00021250114,0.000031390464],"domain_scores_gemma":[0.99856323,0.00076816784,0.00015419214,0.00022374805,0.00025991464,0.000030842544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009619994,0.0009561276,0.00050791126,0.0005922003,0.00028897016,0.0012610813,0.0006193226,0.00081444613,0.0033435232],"category_scores_gemma":[0.0052958373,0.0002948871,0.00043011137,0.0006721132,0.00021886428,0.0018170764,0.0006214444,0.0009141633,0.001084669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041389625,0.00011586446,0.011073906,0.00024203215,0.00020616659,0.000105584666,0.00006308556,0.4866036,0.00902414,0.0099075,0.0060378374,0.47620642],"study_design_scores_gemma":[0.00001681598,0.000044658376,0.0029616444,0.000017417235,0.000023246279,0.00004206825,0.000016162026,0.98602,0.004287417,0.005295609,0.0012543148,0.000020723244],"about_ca_topic_score_codex":0.008024126,"about_ca_topic_score_gemma":0.011622768,"teacher_disagreement_score":0.008024126,"about_ca_system_score_codex":0.00050158723,"about_ca_system_score_gemma":0.00080778025,"threshold_uncertainty_score":0.015954852},"labels":[],"label_agreement":null},{"id":"W4410100113","doi":"10.1111/jfir.12466","title":"Tournament effects in equity mutual funds: Impact of economic conditions and investment styles","year":2025,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"","keywords":"Tournament; Equity (law); Fund of funds; Business; Investment (military); Economics; Finance; Political science; Mathematics","score_opus":0.08047941323180482,"score_gpt":0.3880626765779173,"score_spread":0.3075832633461125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410100113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99871385,0.00004760819,0.00023977803,0.00007400203,0.0000065477657,0.0000059283743,0.000062019935,0.000009654027,0.0008406945],"genre_scores_gemma":[0.99965,0.000008631613,0.000036261725,0.000012506096,0.000005497717,0.0000028395766,0.0000409558,0.0000019847373,0.00024134987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998517,0.0008251732,0.000074003474,0.000191275,0.00012487068,0.0002677118],"domain_scores_gemma":[0.96233976,0.025553426,0.005865181,0.0016410518,0.0008444189,0.0037561185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049656862,0.00031948794,0.0006877259,0.0007055958,0.00054399495,0.0023131522,0.00059288734,0.0008352686,0.010295013],"category_scores_gemma":[0.021457527,0.00015690259,0.0006820484,0.0005305181,0.00094122987,0.000945012,0.0009993531,0.0008169229,0.00034225345],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0069510196,0.0010962674,0.9428204,0.00007364699,0.0008706587,0.00059120404,0.0004200827,0.020889867,0.00351686,0.0074747424,0.0014562695,0.013838961],"study_design_scores_gemma":[0.0003140035,0.0012043978,0.94020134,0.000015333162,0.0003954467,0.00012076233,0.0006532837,0.046918884,0.0011784912,0.0082359435,0.0007095945,0.00005252377],"about_ca_topic_score_codex":0.005888506,"about_ca_topic_score_gemma":0.0048099854,"teacher_disagreement_score":0.010295013,"about_ca_system_score_codex":0.0008470628,"about_ca_system_score_gemma":0.00030224118,"threshold_uncertainty_score":0.03444022},"labels":[],"label_agreement":null},{"id":"W4410155420","doi":"10.1080/14697688.2026.2665153","title":"ClusterLOB: Enhancing Trading Strategies by Clustering Orders in Limit Order Books","year":2025,"lang":"en","type":"preprint","venue":"Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Limit (mathematics); Cluster analysis; Order (exchange); Order book; Computer science; Business; Mathematics; Artificial intelligence; Finance","score_opus":0.04748618657569227,"score_gpt":0.2741858639966652,"score_spread":0.22669967742097297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410155420","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41788155,0.0018167782,0.55312556,0.0006032738,0.00019553593,0.00057152007,0.004671247,0.016997054,0.0041375384],"genre_scores_gemma":[0.59315664,0.00036466392,0.39109918,0.00026777343,0.00015722968,0.00025269843,0.011386992,0.00075148774,0.0025632782],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992111,0.00012140135,0.000061226805,0.0003031659,0.000193283,0.00010978183],"domain_scores_gemma":[0.9983006,0.0004455605,0.000277687,0.00038366317,0.00044431424,0.00014822718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014399656,0.0013596079,0.0012202872,0.0037780276,0.0007570415,0.0016621777,0.0016499937,0.0009158961,0.0009741283],"category_scores_gemma":[0.005801759,0.0004383056,0.0009341505,0.002797417,0.0007093178,0.0017736389,0.0015141583,0.0011915443,0.0011483714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014352719,0.0012271632,0.103813216,0.0004340566,0.000659526,0.00025409053,0.0013362237,0.20762038,0.02409672,0.005838191,0.028860565,0.62442464],"study_design_scores_gemma":[0.00007961251,0.00015800874,0.012465904,0.00003112326,0.000053672065,0.00010646313,0.00032384024,0.96814036,0.00655593,0.0063556917,0.0056707095,0.00005881634],"about_ca_topic_score_codex":0.016683044,"about_ca_topic_score_gemma":0.028497955,"teacher_disagreement_score":0.016683044,"about_ca_system_score_codex":0.0009935583,"about_ca_system_score_gemma":0.0016663999,"threshold_uncertainty_score":0.033171892},"labels":[],"label_agreement":null},{"id":"W4410204326","doi":"10.1016/j.jempfin.2025.101620","title":"The role of macro-finance factors in predicting stock market volatility: A latent threshold dynamic model","year":2025,"lang":"en","type":"article","venue":"Journal of Empirical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Volatility (finance); Macro; Stock market; Financial economics; Stock (firearms); Econometrics; Computer science","score_opus":0.03118596926008011,"score_gpt":0.2699376887778813,"score_spread":0.23875171951780122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410204326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9513107,0.0004939289,0.044007443,0.0014602544,0.000072236326,0.00003424577,0.0005646305,0.00012705685,0.0019295589],"genre_scores_gemma":[0.99739134,0.00017342997,0.001163807,0.00004209893,0.000026302465,0.000011973139,0.0001794597,0.000010663887,0.0010008977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952173,0.00013485816,0.00003421501,0.00014661878,0.00004212714,0.00012044441],"domain_scores_gemma":[0.9953874,0.003432138,0.00046997535,0.00014656116,0.00023020878,0.00033371372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018644382,0.0006015615,0.001038356,0.0010480268,0.0005005973,0.0032064694,0.0014396178,0.0017977048,0.0031817637],"category_scores_gemma":[0.0075759282,0.0005623335,0.001044454,0.0008264682,0.00082635524,0.0027637675,0.0011686734,0.0018900783,0.0006232594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011125045,0.000956974,0.24817611,0.00015712163,0.00083392696,0.0005355666,0.0004717321,0.665872,0.0028198392,0.050982367,0.002857757,0.025224151],"study_design_scores_gemma":[0.000028674363,0.000047403075,0.008176555,0.00001101389,0.00006965137,0.000029449438,0.000043646487,0.98119146,0.00010326281,0.010187996,0.00009556016,0.000015394633],"about_ca_topic_score_codex":0.010222868,"about_ca_topic_score_gemma":0.0076306136,"teacher_disagreement_score":0.010222868,"about_ca_system_score_codex":0.00079952,"about_ca_system_score_gemma":0.0010615011,"threshold_uncertainty_score":0.020326734},"labels":[],"label_agreement":null},{"id":"W4410230020","doi":"10.1016/j.finmar.2025.100983","title":"ETF effects: The role of primary versus secondary market activities","year":2025,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Primary (astronomy); Economics; Secondary market; Business; Finance","score_opus":0.008437282064737504,"score_gpt":0.19763586134785674,"score_spread":0.18919857928311923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410230020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89116186,0.002411603,0.010216772,0.0038614708,0.0002898626,0.000085261476,0.0018864642,0.00026279167,0.08982395],"genre_scores_gemma":[0.98370034,0.00037039584,0.00059347315,0.00022541163,0.00021218439,0.000010119691,0.0002443849,0.00004707788,0.014596537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994338,0.00012906229,0.000033367218,0.00009471566,0.000106024316,0.000203028],"domain_scores_gemma":[0.97875273,0.015540411,0.0018648866,0.00080846256,0.0008345492,0.0021989897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020065773,0.0003706704,0.00082852313,0.00079883763,0.00038665105,0.0030735836,0.000683289,0.0015143978,0.039298482],"category_scores_gemma":[0.014855964,0.00014910412,0.00082527916,0.00050566235,0.00060003664,0.002735992,0.00085367175,0.0013291972,0.0011833631],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008361935,0.0027516163,0.43916315,0.0007332936,0.0011871274,0.0023386285,0.0016128859,0.023507912,0.017905809,0.24467532,0.021171447,0.23659095],"study_design_scores_gemma":[0.00089426944,0.0012025685,0.8341155,0.00022053966,0.0010912935,0.0009403749,0.0011673783,0.038704507,0.008648256,0.0865042,0.026383054,0.00012809793],"about_ca_topic_score_codex":0.0066106506,"about_ca_topic_score_gemma":0.0039868797,"teacher_disagreement_score":0.039298482,"about_ca_system_score_codex":0.0006955141,"about_ca_system_score_gemma":0.0007603626,"threshold_uncertainty_score":0.13146651},"labels":[],"label_agreement":null},{"id":"W4410274487","doi":"10.1016/j.najef.2025.102447","title":"Common risk factors in REIT Returns: New insights","year":2025,"lang":"en","type":"article","venue":"The North American Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Real estate investment trust; Business; Economics; Financial economics; Monetary economics; Finance; Real estate","score_opus":0.01676281948432622,"score_gpt":0.20248470487876893,"score_spread":0.1857218853944427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410274487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85255504,0.012796742,0.09771973,0.010188669,0.00018905307,0.000083551495,0.0005430915,0.0001759146,0.025748156],"genre_scores_gemma":[0.99099004,0.0022861513,0.002002375,0.00017031436,0.00037918522,0.000014653473,0.00013134582,0.000028027773,0.003997761],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99847716,0.00030637515,0.00010147212,0.00038622168,0.0003282856,0.00040043236],"domain_scores_gemma":[0.97471786,0.0155249,0.0052226195,0.0019443488,0.0012778352,0.0013125126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00309505,0.0009386967,0.0018297926,0.0025186376,0.00080572115,0.005933949,0.0013469927,0.0023961004,0.0067329598],"category_scores_gemma":[0.019416925,0.00068608543,0.0017455285,0.0024768077,0.002569664,0.0071117524,0.0024762729,0.0038189464,0.0005811384],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038565655,0.00067789154,0.355441,0.00026403333,0.0011066935,0.003360686,0.0024087655,0.029187065,0.0019192352,0.5103101,0.0062488904,0.08869003],"study_design_scores_gemma":[0.00008608882,0.00025592017,0.23271425,0.00015674433,0.00054193026,0.0012563851,0.0018662818,0.08533541,0.00064572523,0.6705935,0.0063559776,0.00019184854],"about_ca_topic_score_codex":0.008774484,"about_ca_topic_score_gemma":0.008634613,"teacher_disagreement_score":0.008774484,"about_ca_system_score_codex":0.0012097682,"about_ca_system_score_gemma":0.0012003473,"threshold_uncertainty_score":0.022524059},"labels":[],"label_agreement":null},{"id":"W4410306800","doi":"10.1007/978-3-031-85459-0_13","title":"Capital Structure Analysis: Some Examples","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","score_opus":0.02257649653386276,"score_gpt":0.19538301858710097,"score_spread":0.1728065220532382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410306800","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027262416,0.048500452,0.43639103,0.0075734616,0.00045287362,0.00014923225,0.0008759347,0.0006368551,0.4781578],"genre_scores_gemma":[0.44892097,0.053272855,0.26144537,0.0012125251,0.0016638248,0.00022652121,0.0012045484,0.0005476079,0.23150581],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997178,0.00010156554,0.0000109901775,0.000035589233,0.00010946262,0.000024637462],"domain_scores_gemma":[0.9990632,0.0006936151,0.000040435723,0.00006937593,0.00010814703,0.000025250778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007849995,0.00065705227,0.00056753523,0.0018085022,0.0006422244,0.0012043226,0.0008553634,0.0010678134,0.0077461516],"category_scores_gemma":[0.0032931282,0.00022274212,0.0005116579,0.003677333,0.0010601337,0.0014303133,0.0008287868,0.0010212472,0.0012222123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030394802,0.00010280527,0.0010220568,0.00017351758,0.00002468795,0.0002395616,0.00027272673,0.013417685,0.0003589078,0.7700025,0.050229646,0.1641255],"study_design_scores_gemma":[0.0000093097315,0.000009230316,0.0012382183,0.000067750116,0.000011112311,0.00012804415,0.000089479036,0.02013707,0.00023122055,0.92363465,0.05442878,0.00001511342],"about_ca_topic_score_codex":0.0055798357,"about_ca_topic_score_gemma":0.006583423,"teacher_disagreement_score":0.0077461516,"about_ca_system_score_codex":0.0014032051,"about_ca_system_score_gemma":0.0005853717,"threshold_uncertainty_score":0.025913477},"labels":[],"label_agreement":null},{"id":"W4410344687","doi":"10.3390/ijfs13020084","title":"Impact of Asset Bubbles on Exercise of Executive Stock Options","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada; Strong","keywords":"Stock (firearms); Business; Economics; Monetary economics; Asset (computer security); Stock options; Finance; Geography; Computer science","score_opus":0.04812203571656222,"score_gpt":0.3293947707595034,"score_spread":0.2812727350429412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410344687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983028,0.00017353169,0.00006665507,0.0001335204,0.0000063332973,0.000003125805,0.000063446714,0.0000031404463,0.001247462],"genre_scores_gemma":[0.99962795,0.000041912284,0.000019741025,0.00002277454,0.000012862081,0.0000013736835,0.000056557663,7.7465006e-7,0.00021608954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937135,0.00015821452,0.00005858243,0.00006792293,0.00018620247,0.0001577043],"domain_scores_gemma":[0.97864974,0.007206605,0.011356102,0.00044347125,0.00071165175,0.0016324474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085302786,0.00012363108,0.00015549437,0.0005607351,0.00016408764,0.00066781515,0.00014773263,0.00045019155,0.0030222407],"category_scores_gemma":[0.014206998,0.00009115133,0.00015578809,0.00030709125,0.00022481555,0.00059578684,0.0005620297,0.0005417864,0.0002613328],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028918078,0.00012302028,0.9852761,0.000017566343,0.000055911718,0.00021471448,0.0003104268,0.00021332903,0.0011447984,0.00019114121,0.00021910519,0.011944738],"study_design_scores_gemma":[0.000003426661,0.00012199321,0.9985801,0.000006535149,0.000014147175,0.00011628967,0.00024238073,0.0003371339,0.0002028008,0.000107560314,0.0002641381,0.0000035361732],"about_ca_topic_score_codex":0.0018594761,"about_ca_topic_score_gemma":0.0029720482,"teacher_disagreement_score":0.0030222407,"about_ca_system_score_codex":0.0002366734,"about_ca_system_score_gemma":0.00016964693,"threshold_uncertainty_score":0.010110438},"labels":[],"label_agreement":null},{"id":"W4410351249","doi":"10.1016/j.pacfin.2025.102804","title":"Profitability of technical trading rules in the Chinese yuan-based foreign exchange market","year":2025,"lang":"en","type":"article","venue":"Pacific-Basin Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Wuhan University","keywords":"Profitability index; Foreign exchange market; Foreign exchange; Business; Technical analysis; Monetary economics; Economics; Finance","score_opus":0.02154908186959614,"score_gpt":0.2390755169475445,"score_spread":0.21752643507794836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410351249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981883,0.000055931956,0.00007124373,0.000050658513,0.0000026570692,0.0000036800009,0.00003761793,0.0000037762045,0.0015861614],"genre_scores_gemma":[0.9996859,0.000020143261,0.000013262724,0.000004733834,0.0000036803167,8.163897e-7,0.00003569844,6.9133955e-7,0.0002350753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963284,0.000054585635,0.00003458323,0.000052154275,0.00010494389,0.000120811565],"domain_scores_gemma":[0.99741286,0.0008303457,0.00082653965,0.00008212211,0.0004031747,0.0004449614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008460403,0.0001619011,0.0003727011,0.0011360715,0.00052014826,0.002126794,0.0004028564,0.0006232983,0.0023963205],"category_scores_gemma":[0.0031526526,0.00013896608,0.00030497974,0.00065678364,0.00079067325,0.0013293561,0.0005548064,0.00038872554,0.00021274653],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001918076,0.0003811802,0.88368344,0.00010997123,0.00024032846,0.0025893247,0.0009547585,0.040399212,0.009537207,0.030114982,0.0027581442,0.027313402],"study_design_scores_gemma":[0.000077604745,0.00023663629,0.8824023,0.000013424744,0.000108032546,0.00026568616,0.0012257912,0.1060802,0.0013254929,0.0075441645,0.0006664326,0.000054272456],"about_ca_topic_score_codex":0.00923755,"about_ca_topic_score_gemma":0.01126267,"teacher_disagreement_score":0.00923755,"about_ca_system_score_codex":0.0014053562,"about_ca_system_score_gemma":0.0009932285,"threshold_uncertainty_score":0.018367589},"labels":[],"label_agreement":null},{"id":"W4410396521","doi":"10.3390/jrfm18050269","title":"Optimal Portfolio Construction Using the Realized Volatility Concept: Empirical Evidence from the Stock Exchange of Thailand","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Walailak University","keywords":"Volatility (finance); Stock exchange; Financial economics; Portfolio; Empirical evidence; Business; Econometrics; Economics; Monetary economics; Finance","score_opus":0.05262954189571276,"score_gpt":0.27011500036589087,"score_spread":0.2174854584701781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410396521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956052,0.0003326824,0.0028859356,0.00006528396,0.0000018796017,0.000008822939,0.00010278674,0.00001396553,0.0009834407],"genre_scores_gemma":[0.9986665,0.00020053612,0.0008277328,0.0000040219734,0.0000026881032,0.0000029857717,0.00016449999,0.000004060367,0.00012694843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995943,0.00017037675,0.0000410348,0.000043098735,0.00011992715,0.00003145173],"domain_scores_gemma":[0.9962125,0.0026224079,0.0006700284,0.00019072801,0.00018885903,0.00011559549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013411038,0.00033519734,0.00033535063,0.00079138146,0.0002469855,0.0012396908,0.00039636338,0.0003683666,0.0008494382],"category_scores_gemma":[0.008091606,0.00016160095,0.00029483848,0.0013169592,0.00043539784,0.0012397647,0.0005076339,0.00043761445,0.00010195102],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011400402,0.0003334095,0.34637752,0.0004361442,0.00046830258,0.0013411362,0.0010750425,0.510431,0.0032571529,0.018541586,0.0015948145,0.115003854],"study_design_scores_gemma":[0.0001316986,0.00051034224,0.19875129,0.00006417602,0.00013764393,0.00047268672,0.0011053411,0.7744083,0.0038056448,0.018719664,0.0018085218,0.00008471986],"about_ca_topic_score_codex":0.004771745,"about_ca_topic_score_gemma":0.0032453972,"teacher_disagreement_score":0.004771745,"about_ca_system_score_codex":0.0004242939,"about_ca_system_score_gemma":0.00032327586,"threshold_uncertainty_score":0.009487927},"labels":[],"label_agreement":null},{"id":"W4410444442","doi":"10.2139/ssrn.5182451","title":"Financial Intermediary Risk and the Cross-section of Hedge-fund Returns","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Hedge fund; Business; Finance; Section (typography); Financial system","score_opus":0.010305855031104547,"score_gpt":0.22671344842422794,"score_spread":0.2164075933931234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410444442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98991054,0.0017372615,0.004406528,0.0004343808,0.000021023128,0.000009108803,0.00018979226,0.00005515001,0.0032361771],"genre_scores_gemma":[0.997962,0.00037786155,0.00016043975,0.000021482514,0.000035249857,0.000003153456,0.00013691702,0.000008159241,0.0012947246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947625,0.00017791064,0.00004658921,0.000106119354,0.00007385209,0.00011927487],"domain_scores_gemma":[0.9691914,0.02151338,0.005583236,0.0015672221,0.00078917644,0.0013556166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003978546,0.00031436334,0.0005770634,0.0013342492,0.000323799,0.0028327208,0.00069786416,0.0016410743,0.0070954007],"category_scores_gemma":[0.020755002,0.0003555313,0.00062380196,0.0012122819,0.00091871916,0.0026575348,0.0011351602,0.0012868232,0.0010399118],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014360464,0.00035481274,0.8335351,0.00013365531,0.0012094977,0.0019088786,0.0006273215,0.042712677,0.0032561978,0.07736553,0.002498028,0.034962352],"study_design_scores_gemma":[0.00009822691,0.00050005724,0.77428126,0.00008112841,0.00068306515,0.00191381,0.00085821986,0.118644394,0.002591434,0.09763336,0.0025899156,0.00012514385],"about_ca_topic_score_codex":0.001579715,"about_ca_topic_score_gemma":0.0014511959,"teacher_disagreement_score":0.0070954007,"about_ca_system_score_codex":0.00058005436,"about_ca_system_score_gemma":0.00024766626,"threshold_uncertainty_score":0.023736477},"labels":[],"label_agreement":null},{"id":"W4410456765","doi":"10.1016/j.jfineco.2025.104085","title":"Liquidity picking and fund performance","year":2025,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Lethbridge","funders":"University of Edinburgh; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Market liquidity; Business; Finance; Monetary economics; Financial system; Economics","score_opus":0.03234998085916033,"score_gpt":0.218830706164842,"score_spread":0.18648072530568166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410456765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99898034,0.00008656648,0.00008418315,0.000036887926,0.0000015607026,0.000002920766,0.00013363815,0.0000069722064,0.0006668476],"genre_scores_gemma":[0.9995555,0.000020759962,0.0000684107,0.0000054499674,0.0000059915637,0.0000017979783,0.00015220918,0.0000012128867,0.00018856583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934083,0.00015970453,0.00008435001,0.0000934228,0.00015252156,0.00016914634],"domain_scores_gemma":[0.9826544,0.0042723753,0.0106183905,0.00050327723,0.0005155574,0.0014360469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001701423,0.00032066554,0.00024838897,0.002094837,0.00046505898,0.0017924603,0.00026524748,0.00063826767,0.0032467828],"category_scores_gemma":[0.012678217,0.000096889526,0.00030676907,0.0016696039,0.00046163469,0.0010007637,0.0011007919,0.00043667373,0.0005978526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019172541,0.00008019584,0.9905247,0.000013687258,0.00008323197,0.000105070685,0.00016557565,0.00093414873,0.0006187095,0.00027953644,0.00016441754,0.006839138],"study_design_scores_gemma":[0.000014271485,0.00020362726,0.9953347,0.000013064378,0.00004868856,0.00018406544,0.00035509703,0.0019812589,0.0006781076,0.00080164924,0.00036876355,0.000016588687],"about_ca_topic_score_codex":0.0027423876,"about_ca_topic_score_gemma":0.003667857,"teacher_disagreement_score":0.0032467828,"about_ca_system_score_codex":0.0004876414,"about_ca_system_score_gemma":0.00024634533,"threshold_uncertainty_score":0.010861576},"labels":[],"label_agreement":null},{"id":"W4410482499","doi":"10.3390/jrfm18050282","title":"Empirical Asset Pricing Models for Green, Grey, and Red EU Securities: A Fama–French and Carhart Model Approach","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science Foundation Ireland","keywords":"Capital asset pricing model; Financial economics; Economics; Asset (computer security); Econometrics; Computer science","score_opus":0.030984460614273412,"score_gpt":0.23395518467379514,"score_spread":0.20297072405952174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410482499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6422731,0.005366433,0.33451805,0.003839169,0.0001489137,0.0002142301,0.0010850851,0.0004508703,0.012104151],"genre_scores_gemma":[0.97649175,0.0016016064,0.016058091,0.00015967998,0.00011039065,0.00012070048,0.0007005327,0.000034756933,0.0047224863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99881953,0.0006089921,0.000043520315,0.00018215623,0.00016045975,0.0001851953],"domain_scores_gemma":[0.99484515,0.003619566,0.0007720014,0.00024318966,0.00035119645,0.0001689157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044419076,0.0010952997,0.0013672855,0.0018194452,0.00059978245,0.0028113946,0.001378016,0.0023246252,0.0026098806],"category_scores_gemma":[0.013825757,0.00046199808,0.0018187516,0.0016043939,0.0010980321,0.0023583882,0.0008001659,0.0018923123,0.00057253265],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017361986,0.00014155527,0.0351682,0.000104454,0.0003356975,0.0010683432,0.0004631709,0.7236974,0.0006419492,0.20161645,0.004873896,0.03171526],"study_design_scores_gemma":[0.00002751491,0.00005331412,0.0053716367,0.000028730547,0.000057252768,0.00011488866,0.00009368635,0.9446881,0.0001415021,0.047550403,0.0018380239,0.0000350263],"about_ca_topic_score_codex":0.021226458,"about_ca_topic_score_gemma":0.0077569643,"teacher_disagreement_score":0.021226458,"about_ca_system_score_codex":0.001639828,"about_ca_system_score_gemma":0.001187164,"threshold_uncertainty_score":0.04220581},"labels":[],"label_agreement":null},{"id":"W4410555711","doi":"10.1515/snde-2024-0012","title":"Identifying Shock Propagation Mechanisms in Global Equity Markets","year":2025,"lang":"en","type":"article","venue":"Studies in Nonlinear Dynamics and Econometrics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Emerging markets; Diversification (marketing strategy); Risk premium; Financial economics; Country risk; Portfolio; Volatility (finance); Equity (law); Monetary economics; Capital asset pricing model; Econometrics; Business; Finance","score_opus":0.06342439104540398,"score_gpt":0.31067454637434255,"score_spread":0.24725015532893857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410555711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9505773,0.000102106605,0.047106612,0.00019751623,0.000010256721,0.000027150676,0.000059785314,0.000049016195,0.0018701977],"genre_scores_gemma":[0.9980471,0.00005853109,0.0015114326,0.000010709283,0.0000034406537,0.000005536269,0.000018872375,0.0000036248648,0.0003407394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997595,0.0001306683,0.000010244233,0.00003184811,0.000028229535,0.00003947386],"domain_scores_gemma":[0.99752885,0.001727522,0.0004231154,0.00011022687,0.00011544012,0.00009486097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017096065,0.0005179158,0.0004945931,0.000633567,0.00024521185,0.0013127626,0.00039754968,0.00080768095,0.0015863925],"category_scores_gemma":[0.006505838,0.00027942983,0.0005685342,0.00047645209,0.00072286767,0.0020260285,0.0008921309,0.0007668779,0.00007697841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011536706,0.000078065656,0.023533927,0.000028716942,0.00009351035,0.0002697235,0.00015192898,0.9138838,0.0015615722,0.051851876,0.00035411367,0.008077291],"study_design_scores_gemma":[0.000020206433,0.000029566107,0.002423748,0.0000041238204,0.00001414612,0.000018150746,0.00003902615,0.98307866,0.00024253376,0.014048374,0.000072878254,0.000008621411],"about_ca_topic_score_codex":0.005665568,"about_ca_topic_score_gemma":0.0020231775,"teacher_disagreement_score":0.005665568,"about_ca_system_score_codex":0.0006041177,"about_ca_system_score_gemma":0.00044384185,"threshold_uncertainty_score":0.011265159},"labels":[],"label_agreement":null},{"id":"W4410589304","doi":"10.1016/j.apmrv.2025.100367","title":"Taiwan stock arbitrage strategy based on beta uncertainty","year":2025,"lang":"en","type":"article","venue":"Asia Pacific Management Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Academy of Psychosomatic Medicine","keywords":"Arbitrage; BETA (programming language); Financial economics; Statistical arbitrage; Business; Econometrics; Economics; Risk arbitrage; Computer science; Arbitrage pricing theory; Capital asset pricing model","score_opus":0.026665704813172684,"score_gpt":0.24540879068284205,"score_spread":0.21874308586966937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410589304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973123,0.00031369686,0.00094568613,0.0000617612,0.0000026028836,0.000010388138,0.000056135894,0.000006995115,0.0012904166],"genre_scores_gemma":[0.9996749,0.000057252637,0.00009586677,0.0000045670445,0.000003184215,0.000002865486,0.000045577835,4.9473e-7,0.000115228984],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994242,0.00012747741,0.000060629347,0.00010181683,0.00018199172,0.00010380063],"domain_scores_gemma":[0.9958534,0.001491375,0.0018852539,0.00020494314,0.0003693847,0.0001955307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013105347,0.0003078998,0.00038270614,0.0015099397,0.00022470327,0.001231593,0.00030680682,0.00043712955,0.0008101032],"category_scores_gemma":[0.007618462,0.0001294005,0.0003785789,0.0009687238,0.0003211927,0.0011826397,0.00054612575,0.00035115847,0.00010837027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020323749,0.000063852305,0.9526832,0.00006313013,0.0001965531,0.0011355715,0.00050360395,0.0117967315,0.0026730138,0.0027749708,0.00037653535,0.027529681],"study_design_scores_gemma":[0.000027953252,0.00033894298,0.8669964,0.000045002427,0.000214583,0.0010113815,0.00070723146,0.1221908,0.002233106,0.00518362,0.0010079532,0.000043117252],"about_ca_topic_score_codex":0.0026411654,"about_ca_topic_score_gemma":0.0024688342,"teacher_disagreement_score":0.0026411654,"about_ca_system_score_codex":0.00055076013,"about_ca_system_score_gemma":0.00032425526,"threshold_uncertainty_score":0.006930828},"labels":[],"label_agreement":null},{"id":"W4410609715","doi":"10.5267/j.ac.2025.4.001","title":"Analyzing the impact of financial variables and market characteristics on corporate stock returns in the short and long term after initial public offering","year":2025,"lang":"en","type":"article","venue":"Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Term (time); Business; Stock market; Stock (firearms); Initial public offering; Financial economics; Corporate action; Corporate finance; Economics; Finance; Monetary economics; Corporate governance; Shareholder; Engineering","score_opus":0.034236103405477954,"score_gpt":0.2482255906827791,"score_spread":0.21398948727730116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410609715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995409,0.0001201198,0.000035464567,0.00003912996,0.0000035013854,0.000002486411,0.00004961098,0.0000014813293,0.00020727958],"genre_scores_gemma":[0.9994252,0.00008436743,0.000028985129,0.0000072043536,0.000015181394,0.0000019253878,0.0001879178,7.2346023e-7,0.0002485817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999579,0.000072233815,0.000037728547,0.00004497624,0.000111774905,0.00015424112],"domain_scores_gemma":[0.9936156,0.0018871896,0.0033486441,0.00014273253,0.000347105,0.00065870746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010702147,0.0002569724,0.00025665626,0.0007873204,0.00019976513,0.0007511256,0.00021941506,0.00039001653,0.001719031],"category_scores_gemma":[0.0045837923,0.00007640235,0.0005334942,0.00068083877,0.00021595682,0.000636624,0.0003440898,0.0005542749,0.0002249987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020824544,0.00016708132,0.991871,0.00001457389,0.00007627155,0.00025090374,0.00009103134,0.0003543738,0.00042065457,0.000072148156,0.000086653214,0.006387092],"study_design_scores_gemma":[0.000002335872,0.00013729802,0.99902654,0.0000027227118,0.000025009766,0.00003679435,0.00011944972,0.00041517787,0.00012955602,0.000028138282,0.00007404215,0.000002946383],"about_ca_topic_score_codex":0.005814166,"about_ca_topic_score_gemma":0.008999804,"teacher_disagreement_score":0.005814166,"about_ca_system_score_codex":0.00048650923,"about_ca_system_score_gemma":0.0005215639,"threshold_uncertainty_score":0.011560619},"labels":[],"label_agreement":null},{"id":"W4410735061","doi":"10.1007/s11156-025-01421-5","title":"Momentum, value, and size strategy returns: the explanatory power of global macroeconomic risks","year":2025,"lang":"en","type":"article","venue":"Review of Quantitative Finance and Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Università degli Studi Roma Tre","keywords":"Explanatory power; Economics; Corporate finance; Econometrics; Value (mathematics); Financial economics; Momentum (technical analysis); Power (physics); Mathematics; Statistics; Finance; Physics","score_opus":0.036769566066786843,"score_gpt":0.3045893190589972,"score_spread":0.2678197529922104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410735061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99127334,0.0019447131,0.002726074,0.0004130175,0.000016366968,0.000012819852,0.00035631168,0.00002901982,0.0032282],"genre_scores_gemma":[0.9989374,0.00041984956,0.00017555183,0.000016133303,0.00002587531,0.0000033255192,0.00015765085,0.000004567189,0.00025968396],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996505,0.00012129407,0.000023691502,0.00006698009,0.000087566696,0.00004999188],"domain_scores_gemma":[0.99013066,0.0049886983,0.0034993289,0.0005335928,0.00044736252,0.00040030322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017817375,0.00043600632,0.0004143418,0.0020455886,0.00014430375,0.0019188912,0.00024595574,0.0005439304,0.002523752],"category_scores_gemma":[0.011106778,0.00013781841,0.00052660756,0.00247146,0.0005238034,0.0013877089,0.0007567281,0.00065043085,0.0003864296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001119385,0.00006688732,0.95344985,0.000049917875,0.00034904803,0.00022633256,0.00014136363,0.009822039,0.0003241483,0.00609217,0.0006878741,0.028678339],"study_design_scores_gemma":[0.000012822686,0.00009478007,0.95550984,0.00005928889,0.00014849212,0.00015922813,0.0003292779,0.029711585,0.00037319315,0.012107214,0.0014699614,0.00002424072],"about_ca_topic_score_codex":0.0026717463,"about_ca_topic_score_gemma":0.0013506718,"teacher_disagreement_score":0.0026717463,"about_ca_system_score_codex":0.00037176095,"about_ca_system_score_gemma":0.00023489112,"threshold_uncertainty_score":0.009422839},"labels":[],"label_agreement":null},{"id":"W4410948872","doi":"10.2139/ssrn.5277084","title":"Interest in the Short Interest: The Rise of Private Sector Data","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics","score_opus":0.07190405534434148,"score_gpt":0.26251932475975515,"score_spread":0.19061526941541368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410948872","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24048051,0.09382349,0.035730142,0.2744899,0.0063436185,0.0001738764,0.27196643,0.0013931014,0.07559897],"genre_scores_gemma":[0.7416893,0.04956005,0.010950318,0.030275337,0.013100503,0.00020852173,0.140175,0.0008850737,0.013155861],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.98623335,0.003602956,0.0012423899,0.0031703715,0.005134396,0.0006165139],"domain_scores_gemma":[0.6736119,0.19793849,0.06018644,0.025212763,0.03310818,0.009942282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01922505,0.00043458553,0.0012626667,0.0078852,0.00039003027,0.0055634365,0.0022213557,0.0035914707,0.007835441],"category_scores_gemma":[0.13189983,0.0005711423,0.00061310944,0.019370036,0.001706477,0.005767742,0.0028089627,0.0046008397,0.0028091753],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011007389,0.00014786366,0.34479368,0.0022234963,0.00046989854,0.00039008932,0.0010996446,0.0038639477,0.00097320403,0.07017261,0.29352996,0.28123492],"study_design_scores_gemma":[0.000162191,0.00021171434,0.36541843,0.0034290988,0.0002745565,0.0012330284,0.0017091221,0.00925057,0.0032065392,0.05794723,0.556987,0.00017054724],"about_ca_topic_score_codex":0.00939543,"about_ca_topic_score_gemma":0.006283116,"teacher_disagreement_score":0.01922505,"about_ca_system_score_codex":0.001991226,"about_ca_system_score_gemma":0.0017607597,"threshold_uncertainty_score":0.10167295},"labels":[],"label_agreement":null},{"id":"W4411156150","doi":"10.1111/jfir.70001","title":"The predictive power of option prices for stock returns and nonfundamental shocks","year":2025,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Predictive power; Stock (firearms); Economics; Econometrics; Financial economics; Physics; History","score_opus":0.06012461685450197,"score_gpt":0.3288861991779761,"score_spread":0.26876158232347414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411156150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98971635,0.0001287731,0.0075276657,0.00048132095,0.000034762255,0.000012782979,0.00028014652,0.00013818684,0.001679908],"genre_scores_gemma":[0.99933606,0.000032106956,0.0003140826,0.000011989131,0.000020011033,0.0000021979552,0.00010206498,0.0000052836385,0.00017616084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995431,0.0001459101,0.000040771625,0.00008392116,0.00011525841,0.000071123446],"domain_scores_gemma":[0.96608746,0.025965264,0.004571039,0.001342044,0.0011277994,0.00090630824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024152845,0.00067576976,0.0005454705,0.0014820345,0.00026412122,0.0017444346,0.00058873557,0.0012039394,0.003248592],"category_scores_gemma":[0.03478698,0.00034995383,0.00044954292,0.0008561152,0.0005907806,0.0019260461,0.00064120494,0.0014352334,0.0004847964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012713028,0.00054128875,0.55193084,0.000066682944,0.00032616363,0.0010671163,0.00020674252,0.37520716,0.004716427,0.013285932,0.0016676334,0.04971275],"study_design_scores_gemma":[0.000028294806,0.00009838631,0.09350497,0.000018089997,0.000023775474,0.00010612004,0.000046807065,0.8902385,0.00089568296,0.014866817,0.0001370455,0.00003546453],"about_ca_topic_score_codex":0.004031727,"about_ca_topic_score_gemma":0.00237215,"teacher_disagreement_score":0.004031727,"about_ca_system_score_codex":0.00039935202,"about_ca_system_score_gemma":0.00030095503,"threshold_uncertainty_score":0.012773395},"labels":[],"label_agreement":null},{"id":"W4411276203","doi":"10.1016/j.irfa.2025.104366","title":"The effect of NYSE American’s latency delay on informed trading","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Latency (audio); Business; Economics; Computer science; Telecommunications","score_opus":0.010751117900968218,"score_gpt":0.2672574363689468,"score_spread":0.25650631846797856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411276203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98624784,0.0030057824,0.003183601,0.0014426652,0.0001122367,0.000021777303,0.00080603734,0.00008807426,0.0050918963],"genre_scores_gemma":[0.99784803,0.00069010386,0.00040751576,0.00010695701,0.00006198272,0.00000903344,0.0003087448,0.000009306603,0.0005583767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982072,0.0004415895,0.00013946356,0.00028216807,0.0006667618,0.00026286163],"domain_scores_gemma":[0.940003,0.035350643,0.01938866,0.0015853118,0.002584717,0.0010877535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043404014,0.0002484889,0.00026243765,0.0008032309,0.00030443008,0.0017126162,0.0004758221,0.0007566084,0.002630544],"category_scores_gemma":[0.044140782,0.000163738,0.000358493,0.00097150856,0.00050493964,0.0014632911,0.0007380969,0.001668578,0.00051255926],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012847016,0.00029663768,0.87866515,0.00019646666,0.00034825693,0.0007277559,0.00045871554,0.02889811,0.0032025934,0.007062871,0.005305799,0.07355306],"study_design_scores_gemma":[0.00016780084,0.00096836424,0.89582604,0.00017545708,0.0004904411,0.00077325944,0.0011134712,0.07422504,0.00713625,0.0097869905,0.0091978945,0.00013903592],"about_ca_topic_score_codex":0.009533974,"about_ca_topic_score_gemma":0.0075800205,"teacher_disagreement_score":0.009533974,"about_ca_system_score_codex":0.0007739906,"about_ca_system_score_gemma":0.00085292134,"threshold_uncertainty_score":0.022954464},"labels":[],"label_agreement":null},{"id":"W4411295301","doi":"10.1111/1911-3846.13058","title":"Do brokers manage the distribution of stock recommendations?","year":2025,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Monash University; Massey University; Accounting and Finance Association of Australia and New Zealand","keywords":"Business; Distribution (mathematics); Stock (firearms); Finance; Geography; Mathematics","score_opus":0.10449927327870094,"score_gpt":0.33177171917883574,"score_spread":0.2272724459001348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411295301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768759,0.0007579184,0.0072789765,0.0025747302,0.00003732548,0.000048182497,0.00010633029,0.000124475,0.012196032],"genre_scores_gemma":[0.9980939,0.000106614454,0.0010658625,0.00008008513,0.00005244403,0.000004913731,0.000025884172,0.000008236755,0.000561995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965591,0.0013938244,0.00030292178,0.00051807385,0.0008329321,0.0003932122],"domain_scores_gemma":[0.923734,0.03210532,0.03079148,0.005575715,0.0042146407,0.0035788624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008351591,0.0001966921,0.00047269446,0.0010287473,0.00068261253,0.0030030336,0.00075289677,0.0013275873,0.00496714],"category_scores_gemma":[0.076197535,0.00033599287,0.00024905818,0.00084402855,0.00073256204,0.0039795456,0.0008051532,0.00090132613,0.001042668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082248193,0.0005724686,0.79243314,0.00010798775,0.00030102217,0.00037212027,0.0031047899,0.0068999487,0.0064676558,0.008075193,0.0035912339,0.17725195],"study_design_scores_gemma":[0.00030902785,0.00065441476,0.90020376,0.000065891836,0.0001483149,0.0006966109,0.0042529665,0.05099811,0.0028050742,0.0287313,0.011033471,0.00010100009],"about_ca_topic_score_codex":0.0061779264,"about_ca_topic_score_gemma":0.004320996,"teacher_disagreement_score":0.008351591,"about_ca_system_score_codex":0.0011917487,"about_ca_system_score_gemma":0.0009210646,"threshold_uncertainty_score":0.044167995},"labels":[],"label_agreement":null},{"id":"W4411306904","doi":"10.1016/j.irfa.2025.104369","title":"Examining high-frequency patterns in Robinhood users’ trading behavior","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"High-frequency trading; Business; Economics; Computer science; Econometrics; Financial economics; Algorithmic trading","score_opus":0.03279196701548151,"score_gpt":0.2617542879008088,"score_spread":0.22896232088532728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411306904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99737144,0.00016319359,0.00043339058,0.00003265622,0.000004268027,0.000011243188,0.00033127717,0.000009129461,0.0016434033],"genre_scores_gemma":[0.9983211,0.00012906166,0.00037900283,0.00002208623,0.000013372336,0.000010996575,0.00040352915,0.0000029912303,0.0007178245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996675,0.00009254489,0.000036445173,0.00007740966,0.000074548574,0.00005151493],"domain_scores_gemma":[0.99529725,0.0015760658,0.0022432008,0.00023421412,0.00039070827,0.0002586454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008599897,0.00013860957,0.00019876308,0.0008685684,0.000112614245,0.00057798426,0.00018589046,0.00026277543,0.0018955177],"category_scores_gemma":[0.0038723436,0.00008130436,0.00016516463,0.00074181793,0.00013302824,0.0005064348,0.00031751455,0.00024130274,0.00050545175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016165567,0.00005703958,0.97540945,0.000047232887,0.00007587994,0.00013826351,0.00037621913,0.00026227348,0.002246883,0.0002120553,0.00037647254,0.020636471],"study_design_scores_gemma":[0.00000239802,0.00004893204,0.99762756,0.000007783395,0.000011581638,0.00013422762,0.00022786469,0.0010589323,0.00031935403,0.00011423856,0.00044087457,0.000006240203],"about_ca_topic_score_codex":0.0017622749,"about_ca_topic_score_gemma":0.0030721114,"teacher_disagreement_score":0.0018955177,"about_ca_system_score_codex":0.00013603439,"about_ca_system_score_gemma":0.00009165808,"threshold_uncertainty_score":0.0063411593},"labels":[],"label_agreement":null},{"id":"W4411355321","doi":"10.54254/2754-1169/2025.bj24017","title":"A Comprehensive Methodology for Pairs Trading Strategy and Performance Evaluation","year":2025,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","score_opus":0.1105316724507411,"score_gpt":0.3336657025654251,"score_spread":0.22313403011468402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411355321","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005921211,0.0001662971,0.9871186,0.000073440126,0.000043230742,0.0006786572,0.0002768199,0.00086852466,0.0048533096],"genre_scores_gemma":[0.10422103,0.00017854212,0.88938016,0.0000717939,0.000053785403,0.0027443038,0.0006697364,0.0003093059,0.0023712718],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98295987,0.0075169923,0.0016087908,0.0013462676,0.006061444,0.00050661224],"domain_scores_gemma":[0.9845014,0.007913579,0.0015426509,0.0029018037,0.002887931,0.00025265847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016070459,0.0023400867,0.0018283259,0.0067021456,0.0007530402,0.002754067,0.0016837888,0.0013357856,0.0061588353],"category_scores_gemma":[0.03941812,0.00058374007,0.0017642934,0.0043928954,0.0011100733,0.0029806702,0.002497703,0.0018101447,0.0015614042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023488018,0.0005174428,0.00783393,0.00060960714,0.00047263157,0.0002980793,0.0006021046,0.10117749,0.007085655,0.1705513,0.008711163,0.7019056],"study_design_scores_gemma":[0.000112413574,0.001308361,0.005170795,0.00023932898,0.00019260522,0.00076394185,0.0004532052,0.78830487,0.013102327,0.15862542,0.031530507,0.00019627591],"about_ca_topic_score_codex":0.0010117828,"about_ca_topic_score_gemma":0.0007068299,"teacher_disagreement_score":0.016070459,"about_ca_system_score_codex":0.0011941128,"about_ca_system_score_gemma":0.0017992442,"threshold_uncertainty_score":0.08498973},"labels":[],"label_agreement":null},{"id":"W4411372607","doi":"10.47670/wuwijar20252mz","title":"Stock Price and Volume Volatility of Mergers and Acquisitions Companies","year":2025,"lang":"en","type":"article","venue":"Westcliff International Journal of Applied Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wycliffe College","funders":"","keywords":"Volatility (finance); Inefficiency; Stock market; Monetary economics; Stock market bubble; Stock (firearms); Market maker; Economics; Financial economics; Mergers and acquisitions; Volatility smile; Business; Finance; Microeconomics","score_opus":0.05048901843504961,"score_gpt":0.3187687841771878,"score_spread":0.2682797657421382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411372607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.782084,0.19675164,0.0012026379,0.0010251041,0.00010177064,0.000031195566,0.0020770882,0.000026364449,0.016700223],"genre_scores_gemma":[0.95444745,0.04241721,0.00039170944,0.00009977018,0.00019937305,0.000015991323,0.00093198416,0.0000043175237,0.0014921768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968433,0.000050043942,0.000050658917,0.000044648008,0.00015371022,0.000016559514],"domain_scores_gemma":[0.9978119,0.0006231573,0.0012192522,0.000025624407,0.00028358022,0.000036429145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004762425,0.00014341432,0.00022170771,0.0014530219,0.0000852802,0.00093926536,0.00013633787,0.00026252426,0.000866],"category_scores_gemma":[0.0037136655,0.00006922738,0.0003081447,0.0023398518,0.00010604756,0.0006409605,0.00016203591,0.0002283392,0.00014072037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054297346,0.000093708346,0.75799185,0.0035482424,0.0014086616,0.00079746766,0.0012314108,0.0016285438,0.004250343,0.006696013,0.004929029,0.21688174],"study_design_scores_gemma":[0.000012362553,0.00022023832,0.97793305,0.0004999918,0.0004491204,0.0008582373,0.00045707528,0.00149189,0.0018666437,0.0015306986,0.014654354,0.000026309739],"about_ca_topic_score_codex":0.0017648594,"about_ca_topic_score_gemma":0.0019247752,"teacher_disagreement_score":0.0017648594,"about_ca_system_score_codex":0.0003541359,"about_ca_system_score_gemma":0.00026672444,"threshold_uncertainty_score":0.0035091043},"labels":[],"label_agreement":null},{"id":"W4411618407","doi":"10.51847/rt7llpmi6t","title":"10.51847/rt7llpmi6t","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Business; Flow of funds; Financial system; Finance","score_opus":0.014129662122089066,"score_gpt":0.16583513237323305,"score_spread":0.15170547025114398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411618407","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020151483,0.0006485864,0.002062685,0.0010812577,0.0006681831,0.00010814202,0.0021482739,0.0017224741,0.9895453],"genre_scores_gemma":[0.006178485,0.0004069085,0.001109142,0.00031446523,0.00014507031,0.00007174821,0.0011984442,0.00036992066,0.9902057],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939656,0.00007843469,0.000056743633,0.00018220932,0.00018454748,0.00010149148],"domain_scores_gemma":[0.9986822,0.00035656185,0.00012208133,0.00025644203,0.0003310189,0.00025181053],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00083480903,0.0014740714,0.00081159023,0.002496602,0.00082974375,0.003561157,0.0011547321,0.003355819,0.96660364],"category_scores_gemma":[0.0018996286,0.0004589536,0.00077602704,0.0028534743,0.00097164646,0.0024839963,0.0018360707,0.001449402,0.97065955],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038779917,0.00022165968,0.0013847648,0.0004360488,0.00002168412,0.00033907976,0.000101151105,0.0005358847,0.0028788832,0.0071125575,0.2963989,0.6901816],"study_design_scores_gemma":[0.00009504056,0.000085045016,0.0019837967,0.00029849293,0.000020002186,0.0005172292,0.00011629675,0.0012467934,0.0011468405,0.0016934202,0.9927706,0.000026432945],"about_ca_topic_score_codex":0.0042516645,"about_ca_topic_score_gemma":0.0027062264,"teacher_disagreement_score":0.033396363,"about_ca_system_score_codex":0.001164839,"about_ca_system_score_gemma":0.0007311842,"threshold_uncertainty_score":0.047635794},"labels":[],"label_agreement":null},{"id":"W4411656518","doi":"10.51847/a8ctv02yfz","title":"10.51847/a8cTV02YFZ","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Business; Institutional investor; Financial economics; Financial system; Monetary economics; Economics; Finance; Corporate governance; Geography","score_opus":0.014129662122089066,"score_gpt":0.16583513237323305,"score_spread":0.15170547025114398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411656518","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006499105,0.00020459753,0.00080716104,0.0006731566,0.00036717125,0.0000921085,0.0014465564,0.0013057262,0.9944537],"genre_scores_gemma":[0.0015547111,0.000074505064,0.00034570956,0.00017904038,0.000036237216,0.000034199635,0.0006432647,0.00020688966,0.9969254],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995616,0.00003206707,0.000027100596,0.00012098466,0.00014568407,0.00011255736],"domain_scores_gemma":[0.99887615,0.00019822932,0.000060521714,0.00016581677,0.00040965862,0.0002896461],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006426944,0.001217055,0.00083838793,0.002252473,0.0017344573,0.0032827475,0.0013563372,0.004019547,0.9865979],"category_scores_gemma":[0.0016275087,0.00045851435,0.00063577696,0.0018083259,0.00093239924,0.0023567618,0.0024475663,0.0012220389,0.9872935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016785637,0.00015643204,0.00083551166,0.00022960427,0.000011469544,0.00019186086,0.00007093123,0.00018543725,0.0016159787,0.0059354133,0.5180748,0.4725247],"study_design_scores_gemma":[0.000033417527,0.000031257656,0.00082969567,0.00015373791,0.0000063851253,0.00017809674,0.000095574454,0.00020904507,0.00036696356,0.0007235026,0.99736077,0.000011567263],"about_ca_topic_score_codex":0.0063342676,"about_ca_topic_score_gemma":0.0046683787,"teacher_disagreement_score":0.013402104,"about_ca_system_score_codex":0.0012416372,"about_ca_system_score_gemma":0.00077337533,"threshold_uncertainty_score":0.019116402},"labels":[],"label_agreement":null},{"id":"W4411658668","doi":"10.51847/dtins7btcc","title":"10.51847/DTins7bTcC","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profit (economics); Business; Poison control; Economics; Finance; Microeconomics; Medicine; Medical emergency","score_opus":0.014710978460800127,"score_gpt":0.16708579375032054,"score_spread":0.1523748152895204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411658668","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008341588,0.00033977363,0.0013025159,0.00092925626,0.00038047382,0.00005269005,0.0024588897,0.0011398284,0.99256235],"genre_scores_gemma":[0.00335295,0.00023500578,0.00070530793,0.000308037,0.000067145294,0.0000319658,0.0016218245,0.00029582102,0.993382],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996922,0.00003320124,0.000022451184,0.00007951692,0.000110814224,0.000061924125],"domain_scores_gemma":[0.9988393,0.00027656372,0.000066477536,0.0002605306,0.00030578382,0.00025139545],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00050070917,0.0009767523,0.0005836541,0.0022982804,0.0009861788,0.0028885081,0.0010133919,0.0028810825,0.96071315],"category_scores_gemma":[0.0016338137,0.0003811191,0.00047097052,0.0029152024,0.0008092522,0.0018001812,0.001566087,0.001354628,0.96773547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015096141,0.00013580562,0.00096200185,0.00022548875,0.000010143129,0.00011876849,0.00006398146,0.00037260118,0.0015924354,0.012054998,0.50338936,0.48092347],"study_design_scores_gemma":[0.000025794612,0.00001906461,0.0007675403,0.000101585305,0.00000619034,0.00013457687,0.000049864204,0.00039234888,0.000581295,0.0017502914,0.9961612,0.000010314603],"about_ca_topic_score_codex":0.009030613,"about_ca_topic_score_gemma":0.007817871,"teacher_disagreement_score":0.039286852,"about_ca_system_score_codex":0.0014606947,"about_ca_system_score_gemma":0.0008913136,"threshold_uncertainty_score":0.056037843},"labels":[],"label_agreement":null},{"id":"W4411845911","doi":"10.3390/jrfm18070362","title":"A Quantum Leap in Asset Pricing: Explaining Anomalous Returns","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Econometrics; Anomaly (physics); Economics; Sample (material); Financial economics; Stock (firearms); Arbitrage pricing theory; Geography","score_opus":0.01545290900377201,"score_gpt":0.21687873391133386,"score_spread":0.20142582490756186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411845911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9128604,0.0004409757,0.08461738,0.00063601474,0.000033549404,0.000012258639,0.00010360608,0.00019256168,0.0011033245],"genre_scores_gemma":[0.9956896,0.000107681255,0.0038361794,0.000031292653,0.000028385426,0.0000038110436,0.000051688403,0.000016436843,0.00023506854],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99929893,0.00026760605,0.00003481526,0.00014024424,0.00016971609,0.00008864575],"domain_scores_gemma":[0.99199355,0.0045568678,0.0015703872,0.001191513,0.00048373174,0.00020387096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026371554,0.00041375528,0.00066545774,0.0013329115,0.00044157397,0.0014380176,0.00090269564,0.00079532515,0.0014132399],"category_scores_gemma":[0.01617991,0.00027679844,0.00073426915,0.0012209092,0.0009776494,0.0025745658,0.0012116324,0.0011873659,0.0002938134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047959975,0.00042904748,0.41779754,0.00018774718,0.00049998594,0.0012500463,0.0010070148,0.31030157,0.008172234,0.12068197,0.0033251473,0.1358681],"study_design_scores_gemma":[0.000024175655,0.00013090466,0.058723062,0.000012045911,0.00005577936,0.00037829857,0.00013168687,0.8364233,0.0009913938,0.10218834,0.0008975902,0.000043541546],"about_ca_topic_score_codex":0.0021283692,"about_ca_topic_score_gemma":0.0013585027,"teacher_disagreement_score":0.0026371554,"about_ca_system_score_codex":0.0005089636,"about_ca_system_score_gemma":0.00045789083,"threshold_uncertainty_score":0.013946831},"labels":[],"label_agreement":null},{"id":"W4411932146","doi":"10.1111/fmii.70001","title":"Interplay Between Competition Networks, Strategy Uniqueness, and Hedge Fund Performance","year":2025,"lang":"en","type":"article","venue":"Financial Markets Institutions and Instruments","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Université du Québec à Montréal","keywords":"Hedge fund; Competition (biology); Uniqueness; Computer science; Financial economics; Economics; Econometrics; Industrial organization; Finance; Mathematics","score_opus":0.03480122978475917,"score_gpt":0.2597402831571261,"score_spread":0.22493905337236694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411932146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989555,0.00005917655,0.00015144602,0.000045670124,0.0000018018427,0.0000022901863,0.0000965008,0.0000019504262,0.0006857307],"genre_scores_gemma":[0.99978703,0.000013158961,0.000051766558,0.000003544589,0.0000032519129,0.0000011401352,0.000063625084,4.1517876e-7,0.00007621021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993461,0.00021746458,0.000058772497,0.00012533805,0.00014737774,0.00010500737],"domain_scores_gemma":[0.9861769,0.0043818727,0.0066527273,0.00051236706,0.0006595902,0.0016165456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014791714,0.00017620971,0.00020400016,0.001367109,0.00030822845,0.0011992839,0.00021334252,0.00026676615,0.0019072944],"category_scores_gemma":[0.011065494,0.00007206146,0.00015803397,0.0010482611,0.0004393187,0.0007503833,0.0009446843,0.00029384956,0.00018160639],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055146687,0.00003387963,0.994732,0.000007302276,0.000071885675,0.000028793223,0.00014902334,0.0003347541,0.00020820678,0.00026526232,0.000101144156,0.0040125754],"study_design_scores_gemma":[0.0000029125624,0.00005065114,0.9976871,0.000006031581,0.000019194995,0.000050687766,0.0004010258,0.0010260163,0.00012233257,0.00034938223,0.00027981223,0.0000048810493],"about_ca_topic_score_codex":0.0034001248,"about_ca_topic_score_gemma":0.0051225186,"teacher_disagreement_score":0.0034001248,"about_ca_system_score_codex":0.00043137503,"about_ca_system_score_gemma":0.00024062452,"threshold_uncertainty_score":0.007822752},"labels":[],"label_agreement":null},{"id":"W4411932945","doi":"10.1016/j.pacfin.2025.102866","title":"The effect of mutual fund herding on stock mispricing","year":2025,"lang":"en","type":"article","venue":"Pacific-Basin Finance Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Herding; Mutual fund; Stock (firearms); Business; Target date fund; Financial economics; Monetary economics; Economics; Open-end fund; Finance; Geography; Institutional investor; Corporate governance","score_opus":0.021686076146910194,"score_gpt":0.24112468773525647,"score_spread":0.21943861158834627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411932945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99870205,0.000076299475,0.00006592731,0.0001500246,0.0000047319945,0.0000017167955,0.000044749428,0.000005092468,0.0009493052],"genre_scores_gemma":[0.9996141,0.000030133766,0.000029397059,0.000017530918,0.000006605693,7.780606e-7,0.000022873153,0.0000011859721,0.00027738072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995407,0.00015398624,0.00002981785,0.00006326698,0.000059087564,0.00015322537],"domain_scores_gemma":[0.97304744,0.018853672,0.0046971017,0.00090711477,0.00088054995,0.0016141324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018142936,0.00018120995,0.0004275432,0.0004401812,0.00042433615,0.001179388,0.00046211216,0.0012860034,0.0047955927],"category_scores_gemma":[0.019629573,0.00020401845,0.0004859137,0.00035250196,0.0005755512,0.0010105054,0.0005869231,0.0010276575,0.00035729256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034821879,0.0013691055,0.9326127,0.00008392348,0.00060381705,0.0009963105,0.0003940216,0.02218795,0.009113188,0.0033025586,0.0018494413,0.024004903],"study_design_scores_gemma":[0.00008135928,0.00081435713,0.96437234,0.00001671706,0.0004183337,0.00020023556,0.0004962681,0.029412882,0.0017951934,0.001907926,0.0004579627,0.000026387155],"about_ca_topic_score_codex":0.009019359,"about_ca_topic_score_gemma":0.011241571,"teacher_disagreement_score":0.009019359,"about_ca_system_score_codex":0.000994539,"about_ca_system_score_gemma":0.0005574663,"threshold_uncertainty_score":0.017933667},"labels":[],"label_agreement":null},{"id":"W4411988500","doi":"10.1007/s11142-025-09898-0","title":"Analysts’ forecasting models and uncertainty about the past","year":2025,"lang":"en","type":"article","venue":"Review of Accounting Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Ohio State University","keywords":"Earnings; Corporate finance; Capital market; Market liquidity; Public finance; Business; Financial economics; Stock market; Stock (firearms); Economics; Finance; Accounting; Actuarial science; Econometrics","score_opus":0.08417702535208736,"score_gpt":0.29157802382588927,"score_spread":0.2074009984738019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411988500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778962,0.0011498341,0.014347777,0.0019928361,0.000025257745,0.000012433193,0.0014883189,0.00006852076,0.003018707],"genre_scores_gemma":[0.99786264,0.00023322875,0.0011325885,0.000035586432,0.00003662629,0.0000046775895,0.0005656641,0.000006534646,0.0001224915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977077,0.00079697295,0.00024128283,0.0004662448,0.00062227756,0.0001653895],"domain_scores_gemma":[0.893172,0.0774526,0.020431215,0.0049495893,0.0031614427,0.00083312136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007830682,0.00038907237,0.0006501553,0.002705309,0.00046314386,0.0037769414,0.00067862426,0.0012184613,0.0012707991],"category_scores_gemma":[0.0745568,0.0004560791,0.00036098438,0.0025391986,0.0007903403,0.0048918957,0.0009193127,0.0013390579,0.0002868973],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000956223,0.0002020567,0.6777561,0.0002688508,0.00045148775,0.0004421315,0.003181177,0.20455472,0.003456817,0.037709128,0.0056144553,0.0654069],"study_design_scores_gemma":[0.00006105178,0.00012138702,0.2609272,0.00021402648,0.00014347669,0.00028070563,0.001524139,0.6239139,0.0023963007,0.103572704,0.006687256,0.00015785312],"about_ca_topic_score_codex":0.00563825,"about_ca_topic_score_gemma":0.0038597777,"teacher_disagreement_score":0.007830682,"about_ca_system_score_codex":0.0010008591,"about_ca_system_score_gemma":0.00051557715,"threshold_uncertainty_score":0.04141307},"labels":[],"label_agreement":null},{"id":"W4412021069","doi":"10.1016/j.iref.2025.104383","title":"The relation between environmental awareness and stock returns","year":2025,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Stock (firearms); Economics; Relation (database); Financial economics; Geography; Computer science","score_opus":0.02518304901308641,"score_gpt":0.2478231664638899,"score_spread":0.2226401174508035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412021069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947724,0.0008993242,0.0006508371,0.00063400186,0.000028145454,0.00001004167,0.0009134495,0.000020310183,0.0020715923],"genre_scores_gemma":[0.99827445,0.00022829311,0.00008061597,0.00003858771,0.000048839996,0.0000035027936,0.00065667834,0.0000018926038,0.0006671607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977165,0.00002986587,0.000026703154,0.000046279492,0.00006810018,0.000057415382],"domain_scores_gemma":[0.9916802,0.0013648228,0.005502455,0.00020829953,0.0005614249,0.0006828127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075701013,0.0003600835,0.00026290375,0.0012393023,0.00018244697,0.0011170667,0.00027896374,0.00064768526,0.0032124857],"category_scores_gemma":[0.005248649,0.00009102867,0.00047268474,0.0012366634,0.00026849896,0.0011283578,0.00043788445,0.00081907626,0.00077279337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071757735,0.00010236493,0.99024,0.000024077563,0.00015880496,0.00012854656,0.00004030038,0.001667937,0.00029497084,0.00065976055,0.0007214571,0.0058900854],"study_design_scores_gemma":[0.000010398073,0.00014690767,0.9879711,0.000026929787,0.00010684764,0.00011251348,0.000152247,0.008223942,0.0005667405,0.0016662576,0.0009987969,0.000017121109],"about_ca_topic_score_codex":0.006863878,"about_ca_topic_score_gemma":0.005031435,"teacher_disagreement_score":0.006863878,"about_ca_system_score_codex":0.00041842653,"about_ca_system_score_gemma":0.00027188723,"threshold_uncertainty_score":0.013647854},"labels":[],"label_agreement":null},{"id":"W4412093172","doi":"10.3390/jrfm18070373","title":"Margin Trading and Cryptocurrency Investment Among U.S. Investors: Evidence from the National Financial Capability Study","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Margin (machine learning); Business; Investment (military); Finance; Economics; Financial system; Financial economics; Monetary economics; Computer science; Political science; Computer security","score_opus":0.03041505371989884,"score_gpt":0.2383966111249535,"score_spread":0.20798155740505467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412093172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987459,0.00011879314,0.000041046766,0.00018182154,0.000003821215,0.0000031559305,0.00019258031,9.432786e-7,0.0007119202],"genre_scores_gemma":[0.99924904,0.00016264265,0.000049654518,0.0000513111,0.000009486641,0.0000033577762,0.0003153479,8.47639e-7,0.00015827724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940705,0.00020243328,0.00007484383,0.00007452098,0.00013306814,0.000108129476],"domain_scores_gemma":[0.98229444,0.0035311792,0.0107556265,0.00067360606,0.0010373695,0.0017077954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017106527,0.00020742988,0.00018855621,0.0010557496,0.00040541182,0.0008651971,0.00028103316,0.00049276,0.0017997657],"category_scores_gemma":[0.009718136,0.00016116054,0.00027185844,0.0016778599,0.00044097184,0.0009019034,0.0009044545,0.0008366187,0.00027145416],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025263182,0.000047583806,0.9981223,0.0000032372693,0.000023026378,0.000018805971,0.00015342774,0.000021027048,0.0000187974,0.000058910213,0.00012985108,0.0013778815],"study_design_scores_gemma":[0.0000028205773,0.000031531916,0.998728,0.0000114698205,0.000015849966,0.000033401895,0.0005643684,0.00017773981,0.000035179517,0.00006969963,0.00032706544,0.0000030112292],"about_ca_topic_score_codex":0.016527975,"about_ca_topic_score_gemma":0.02815285,"teacher_disagreement_score":0.016527975,"about_ca_system_score_codex":0.00034328707,"about_ca_system_score_gemma":0.0004350871,"threshold_uncertainty_score":0.032863557},"labels":[],"label_agreement":null},{"id":"W4412231923","doi":"","title":"Simulating Heterogeneous Portfolio Choices and Financial Market Outcomes","year":2023,"lang":"en","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Advanced Research Projects Agency; York University; Microsoft; National Science Foundation","keywords":"Portfolio; Business; Financial market; Finance; Financial economics; Economics","score_opus":0.05890935340916631,"score_gpt":0.25510680307478006,"score_spread":0.19619744966561375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412231923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780392,0.00008176873,0.01612639,0.00048469778,0.000024087076,0.000032212432,0.00020782852,0.000070203125,0.004933539],"genre_scores_gemma":[0.9961669,0.00004517917,0.003039322,0.0000408596,0.000005004798,0.00002135514,0.00009508091,0.000007692309,0.0005787314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996731,0.00015442698,0.000018882763,0.000045175522,0.000038571157,0.00006984561],"domain_scores_gemma":[0.9960334,0.0028305342,0.00047042657,0.0002566285,0.0001465433,0.00026250514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012651321,0.00039367334,0.0004661237,0.00051382696,0.00033530442,0.0011519892,0.00075512996,0.0013282266,0.0034959023],"category_scores_gemma":[0.009321217,0.00037316346,0.00049537374,0.0004582913,0.00085477263,0.0013752431,0.0009689979,0.0009906391,0.00018123379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019955986,0.00016108058,0.009745138,0.000022604954,0.00005120001,0.00014027566,0.00013277004,0.96498466,0.0005408598,0.020199893,0.0004006988,0.0034212798],"study_design_scores_gemma":[0.00004640631,0.00003426329,0.0010651913,0.000004450205,0.000009244133,0.0000113437045,0.00003343911,0.9888804,0.00020224972,0.009563158,0.00014171458,0.000008028257],"about_ca_topic_score_codex":0.0074974555,"about_ca_topic_score_gemma":0.005362747,"teacher_disagreement_score":0.0074974555,"about_ca_system_score_codex":0.0009294296,"about_ca_system_score_gemma":0.0005283283,"threshold_uncertainty_score":0.014907658},"labels":[],"label_agreement":null},{"id":"W4412417242","doi":"10.1017/s0022109024000747","title":"A Trend Factor for the Cross Section of Cryptocurrency Returns","year":2025,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cryptocurrency; Section (typography); Economics; Factor (programming language); Econometrics; Business; Computer science; Advertising; Computer security","score_opus":0.04863901301571872,"score_gpt":0.30566362405168207,"score_spread":0.25702461103596336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412417242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76753193,0.0012036941,0.22179495,0.00076478673,0.00019492205,0.00008805235,0.0028884048,0.0012148172,0.004318487],"genre_scores_gemma":[0.98685235,0.00020558588,0.010208934,0.000040016654,0.00009503152,0.00002399913,0.0013232356,0.000077096316,0.001173695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918586,0.0002014916,0.00006585396,0.00029090373,0.00016437,0.00009149538],"domain_scores_gemma":[0.9898106,0.0055018505,0.001792952,0.0014581768,0.0011449673,0.000291498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004292329,0.0006517945,0.0004678734,0.0026598284,0.00027923408,0.0015118977,0.0005730617,0.00081139297,0.0031584532],"category_scores_gemma":[0.016410727,0.000316704,0.0011082006,0.0021431237,0.00056344626,0.0021115476,0.0005498548,0.0010438483,0.0006583074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005769314,0.00016890645,0.69755775,0.00013063835,0.0007413076,0.00053714745,0.0001920763,0.114706784,0.007270932,0.028097674,0.005678247,0.1443415],"study_design_scores_gemma":[0.000039790768,0.00024956593,0.19878417,0.000055520028,0.00018478336,0.00024020098,0.00008165626,0.773857,0.0030979514,0.018135348,0.0051764105,0.000097596196],"about_ca_topic_score_codex":0.0060741957,"about_ca_topic_score_gemma":0.00392276,"teacher_disagreement_score":0.0060741957,"about_ca_system_score_codex":0.0006588045,"about_ca_system_score_gemma":0.0005835109,"threshold_uncertainty_score":0.02270025},"labels":[],"label_agreement":null},{"id":"W4412467167","doi":"10.4236/jmf.2025.153020","title":"Mean Reversion and Self-Valuation of European Common Stocks","year":2025,"lang":"en","type":"article","venue":"Journal of Mathematical Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Mean reversion; Economics; Reversion; Valuation (finance); Financial economics; Econometrics; Finance","score_opus":0.03265724052943113,"score_gpt":0.2412217236907311,"score_spread":0.2085644831613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412467167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99575543,0.0002690658,0.0024453597,0.000056228735,0.000007203053,0.0000042260167,0.000046431753,0.000016890062,0.001399099],"genre_scores_gemma":[0.99936527,0.000079895464,0.00026971175,0.000004694159,0.0000052917,0.0000010225531,0.00004925776,0.0000023774983,0.00022257303],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971443,0.00006695896,0.000031536103,0.00006996857,0.00008248103,0.000034583452],"domain_scores_gemma":[0.9937011,0.002372674,0.0025671816,0.00058075605,0.000534177,0.00024411177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015304645,0.00024840268,0.00027117788,0.0008030231,0.00013071271,0.0012050833,0.00034250433,0.00040568068,0.0009601461],"category_scores_gemma":[0.012068199,0.00013100682,0.0003523217,0.00037247522,0.00065023004,0.0017605494,0.00045826504,0.0005503603,0.00010040973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008569853,0.00030969357,0.6501047,0.00019162474,0.0005313853,0.0014670446,0.0013697075,0.07392863,0.018398935,0.15161858,0.0011239212,0.10009883],"study_design_scores_gemma":[0.000057994454,0.00037738742,0.60114413,0.000059978112,0.00014222275,0.0010045004,0.00035458704,0.23301636,0.008417255,0.1527224,0.0025873408,0.000115921066],"about_ca_topic_score_codex":0.0017458808,"about_ca_topic_score_gemma":0.0008084186,"teacher_disagreement_score":0.0017458808,"about_ca_system_score_codex":0.00048283313,"about_ca_system_score_gemma":0.00019859581,"threshold_uncertainty_score":0.008094013},"labels":[],"label_agreement":null},{"id":"W4412557733","doi":"10.1016/j.adiac.2025.100837","title":"Earnings versus cash flows in equity valuation: Evidence from the COVID-19 crisis","year":2025,"lang":"en","type":"article","venue":"Advances in Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Equity (law); Valuation (finance); Coronavirus disease 2019 (COVID-19); Cash flow; Economics; Accounting; Earnings; Business; Financial economics; Econometrics; Actuarial science; Monetary economics; Medicine; Political science","score_opus":0.09526070039625467,"score_gpt":0.3466554493149099,"score_spread":0.2513947489186552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412557733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98072207,0.0020027626,0.000078248224,0.003536287,0.00003096845,0.000006440241,0.00056366506,0.000005091653,0.013054401],"genre_scores_gemma":[0.9974911,0.00092828105,0.000027791031,0.00016434808,0.00004134144,0.0000030591293,0.0004319591,0.0000045774045,0.0009075206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952006,0.00015443824,0.000035962094,0.000053482894,0.00013026044,0.00010585282],"domain_scores_gemma":[0.9804277,0.009645161,0.0056417524,0.00059014,0.0022087153,0.0014865987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002103394,0.00021921702,0.00029148647,0.00087411195,0.0006159959,0.0030101445,0.0005759666,0.0011112489,0.0052054725],"category_scores_gemma":[0.021776728,0.00018947861,0.00015599008,0.0013370253,0.0013377991,0.0024921836,0.0014817254,0.0024166899,0.0006064646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005547512,0.0010572824,0.89966524,0.00019153705,0.00013428924,0.00063814275,0.0030124115,0.0011501657,0.0009507451,0.020603288,0.011256667,0.05579273],"study_design_scores_gemma":[0.00008205287,0.0001142403,0.98523396,0.00008081097,0.00004048554,0.00008919854,0.003117288,0.00078201044,0.00033652474,0.005747229,0.0043587703,0.000017364504],"about_ca_topic_score_codex":0.019848201,"about_ca_topic_score_gemma":0.019782575,"teacher_disagreement_score":0.019848201,"about_ca_system_score_codex":0.000999905,"about_ca_system_score_gemma":0.000653152,"threshold_uncertainty_score":0.03946531},"labels":[],"label_agreement":null},{"id":"W4412882210","doi":"10.1111/1911-3846.13066","title":"Strategic disclosure and informed trading with short‐selling constraints","year":2025,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.11842922477679009,"score_gpt":0.3103651103306413,"score_spread":0.19193588555385122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412882210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732954,0.0005795608,0.016402762,0.0008289088,0.000024507766,0.000026643094,0.000073301744,0.000023786066,0.00874526],"genre_scores_gemma":[0.99917847,0.000066407396,0.00041382888,0.000021538215,0.000010252321,0.000003284936,0.000008888989,0.0000013158385,0.0002959378],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979984,0.00074383843,0.00028017274,0.00025990987,0.00036605852,0.0003515097],"domain_scores_gemma":[0.94278693,0.030239187,0.021966405,0.0028412938,0.0012344407,0.0009316923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003521952,0.00028413112,0.0006395747,0.00042971814,0.00048479292,0.0030116716,0.00053267233,0.0010158176,0.0040488946],"category_scores_gemma":[0.030962339,0.00032508202,0.000390032,0.00054114487,0.0014931209,0.0031221579,0.0012062984,0.0011897093,0.00017258142],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015724727,0.0011468045,0.19194883,0.00069347146,0.0007874216,0.0016378112,0.0019109043,0.18819906,0.017918961,0.5222795,0.0019186249,0.06998609],"study_design_scores_gemma":[0.00023949755,0.00050598645,0.11650991,0.00013865206,0.00029942306,0.000618617,0.0014287304,0.27262416,0.008387267,0.5966629,0.002431639,0.00015324775],"about_ca_topic_score_codex":0.0013097996,"about_ca_topic_score_gemma":0.0010101064,"teacher_disagreement_score":0.0040488946,"about_ca_system_score_codex":0.0008413642,"about_ca_system_score_gemma":0.0010029671,"threshold_uncertainty_score":0.018626094},"labels":[],"label_agreement":null},{"id":"W4412898172","doi":"10.3390/proceedings2025125001","title":"Abstract from the 1st International Online Conference on Risk and Financial Management","year":2025,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Risk management; Business; Financial management; Computer science; Finance","score_opus":0.029224246499531554,"score_gpt":0.2269480328007632,"score_spread":0.19772378630123164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412898172","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02452733,0.11358822,0.030495558,0.08230205,0.117154166,0.00036149478,0.0051993127,0.0020758493,0.62429595],"genre_scores_gemma":[0.07525083,0.047535352,0.009996216,0.0036017469,0.026746798,0.0001852395,0.0048093433,0.00075881224,0.83111566],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991393,0.00013032784,0.00006848781,0.00014365569,0.0004321357,0.00008604628],"domain_scores_gemma":[0.99707794,0.0007152107,0.00016579992,0.0003540322,0.0011606342,0.00052639603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017816299,0.0009363943,0.0009732419,0.0016964879,0.00091495406,0.0053938148,0.0010197869,0.0013144085,0.18521327],"category_scores_gemma":[0.004108764,0.00017341215,0.00064202433,0.0011784413,0.0006513353,0.002867546,0.002181976,0.0020450233,0.048157517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015697467,0.00018505771,0.0015572227,0.0003303159,0.000030649746,0.00019403797,0.0001619951,0.0008503963,0.0008868769,0.009050549,0.66541475,0.32118127],"study_design_scores_gemma":[0.000017004886,0.00007374297,0.0032305464,0.0006096413,0.000024579664,0.00015637702,0.00021894625,0.0024346428,0.0005786852,0.006372474,0.9862586,0.000024731395],"about_ca_topic_score_codex":0.0018432357,"about_ca_topic_score_gemma":0.0026034825,"teacher_disagreement_score":0.18521327,"about_ca_system_score_codex":0.0011560621,"about_ca_system_score_gemma":0.001677023,"threshold_uncertainty_score":0.6196001},"labels":[],"label_agreement":null},{"id":"W4412922653","doi":"10.1111/1911-3846.13067","title":"Corporate shareholdings, tax‐loss selling, and the (mis)pricing of information asymmetry","year":2025,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information asymmetry; Business; Economics; Accounting; Financial economics; Finance","score_opus":0.07097013778830591,"score_gpt":0.27685033231719597,"score_spread":0.20588019452889006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412922653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99851936,0.000101378704,0.0003277442,0.00007156705,0.0000015586647,0.0000021911253,0.000035236324,0.000003267745,0.0009377599],"genre_scores_gemma":[0.99986506,0.000021758966,0.00002982585,0.000004025234,0.000005455769,4.0728665e-7,0.000011424037,5.404499e-7,0.00006152837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994529,0.00017407723,0.000053139083,0.000067100846,0.00016369285,0.00008904131],"domain_scores_gemma":[0.9516332,0.02229009,0.02168442,0.0016574408,0.0010827669,0.0016520164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013779196,0.000120087,0.00025126917,0.00097230024,0.00019873618,0.0013079447,0.00027081874,0.000421167,0.0027273952],"category_scores_gemma":[0.018111302,0.00012819924,0.00016476148,0.0008975031,0.00075877813,0.0010127231,0.00048121967,0.00049723766,0.00017773258],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003487904,0.00020282411,0.97533697,0.000024156938,0.00011640258,0.00031174958,0.0003524402,0.0031356786,0.0040289126,0.0035737276,0.00014332148,0.012424976],"study_design_scores_gemma":[0.000009715317,0.00009813349,0.98643667,0.000009532642,0.000027471278,0.00029992583,0.00031386336,0.007073871,0.0005903649,0.004961607,0.00016605297,0.000012821211],"about_ca_topic_score_codex":0.0014845711,"about_ca_topic_score_gemma":0.0015273809,"teacher_disagreement_score":0.0027273952,"about_ca_system_score_codex":0.00041470455,"about_ca_system_score_gemma":0.00019484936,"threshold_uncertainty_score":0.009124041},"labels":[],"label_agreement":null},{"id":"W4412980475","doi":"10.1016/j.jet.2025.106062","title":"Reputation and the credibility of inflation plans","year":2025,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Umweltbundesamt; Social Sciences and Humanities Research Council of Canada; International Monetary Fund","keywords":"Credibility; Reputation; Inflation (cosmology); Monetary economics; Business; Economics; Political science; Law","score_opus":0.014391964054278892,"score_gpt":0.22334525591740212,"score_spread":0.20895329186312323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412980475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86885685,0.0060566785,0.032683473,0.017003324,0.00035164476,0.00003670574,0.00046340635,0.0001681307,0.07437978],"genre_scores_gemma":[0.99858713,0.00025761695,0.0002202985,0.00005449594,0.00011310703,0.0000020208613,0.00002228871,0.000007421331,0.0007356801],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997431,0.0012917978,0.00020132579,0.00033115764,0.00043870092,0.00030600335],"domain_scores_gemma":[0.7480806,0.19141352,0.039616283,0.00787419,0.008856547,0.0041588238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009837935,0.0002245906,0.00086542295,0.0020063214,0.00098883,0.0063634077,0.0009314487,0.0032776524,0.0070684953],"category_scores_gemma":[0.1425079,0.00042916345,0.00038231377,0.0015185752,0.0031850864,0.005600139,0.0012433793,0.0030473843,0.0006625285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021170843,0.00030626735,0.14802292,0.0003283448,0.00052779296,0.0016492107,0.0025459575,0.049100056,0.001244371,0.70126605,0.011036755,0.0818552],"study_design_scores_gemma":[0.00022254318,0.0002356088,0.073269464,0.00013675098,0.00021700187,0.0007446813,0.0011397382,0.082614295,0.00059175416,0.8360283,0.0046409704,0.00015899075],"about_ca_topic_score_codex":0.003019831,"about_ca_topic_score_gemma":0.002134703,"teacher_disagreement_score":0.009837935,"about_ca_system_score_codex":0.0016947299,"about_ca_system_score_gemma":0.00090749125,"threshold_uncertainty_score":0.052028596},"labels":[],"label_agreement":null},{"id":"W4413001482","doi":"10.54254/2754-1169/2025.lh25691","title":"Risk-adjusted Momentum Strategy Construction and Industry Heterogeneity Analysis Based on STARR Indicator","year":2025,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Momentum (technical analysis); Econometrics; Economics; Business; Risk analysis (engineering); Financial economics","score_opus":0.017131860908396072,"score_gpt":0.2534852949460262,"score_spread":0.2363534340376301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413001482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7919847,0.0004048776,0.20273079,0.00020501182,0.000031458596,0.00015882171,0.00040297926,0.00053975877,0.0035416398],"genre_scores_gemma":[0.98109746,0.00007178929,0.017861377,0.000020178448,0.000017292212,0.000023179291,0.0004990205,0.000019340887,0.0003903036],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985997,0.00042923086,0.00012640441,0.00027728005,0.00039053135,0.00017681424],"domain_scores_gemma":[0.9965976,0.0012405304,0.0009640308,0.00033158384,0.00068777683,0.00017863483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037679423,0.00075740623,0.00071404706,0.0040470315,0.00026119954,0.0017775554,0.0005255813,0.00052122126,0.00095200574],"category_scores_gemma":[0.009950464,0.00019622792,0.0006957249,0.0017705044,0.0004590146,0.0018465864,0.0010270479,0.0005414906,0.00025196897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005684293,0.00029120734,0.39685282,0.00012182344,0.00045215848,0.00040799845,0.0002880588,0.2149532,0.008292216,0.015487766,0.0022344543,0.36005002],"study_design_scores_gemma":[0.000044802495,0.000500078,0.09417927,0.000024443305,0.000097572956,0.00015427032,0.00020348172,0.89211804,0.005894931,0.0053238133,0.0013843289,0.00007502834],"about_ca_topic_score_codex":0.0028059846,"about_ca_topic_score_gemma":0.0020209565,"teacher_disagreement_score":0.0040470315,"about_ca_system_score_codex":0.0005780937,"about_ca_system_score_gemma":0.0008718137,"threshold_uncertainty_score":0.019927025},"labels":[],"label_agreement":null},{"id":"W4413035294","doi":"10.1108/cafr-09-2023-0110","title":"Long-term institutional shareholdings and stock price informativeness of analyst target prices","year":2025,"lang":"en","type":"article","venue":"China Accounting and Finance Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Term (time); Stock price; Stock (firearms); Financial economics; Economics; Monetary economics; Econometrics; Business; Series (stratigraphy); Geography; Geology","score_opus":0.018762141916679104,"score_gpt":0.24243345108864342,"score_spread":0.22367130917196432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413035294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970806,0.00059699384,0.00070924324,0.00018802521,0.0000101834285,0.0000087591125,0.0002164642,0.000009357226,0.0011802799],"genre_scores_gemma":[0.9995871,0.00009250585,0.000059819642,0.000012799837,0.000022036427,0.000001658729,0.00008161901,8.8973206e-7,0.00014161326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921906,0.00015265531,0.00012787578,0.00014976895,0.00023764615,0.00011297824],"domain_scores_gemma":[0.94436675,0.011366623,0.039769158,0.0017079855,0.0018396447,0.00094986823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001877798,0.00016159803,0.00019123264,0.00076788344,0.00016158615,0.0010435471,0.00026631125,0.00035921505,0.001881166],"category_scores_gemma":[0.018948674,0.00010542997,0.00023291877,0.0009514745,0.0003209937,0.0009300923,0.0004379529,0.0004040629,0.0002158465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007540162,0.000035760804,0.9896219,0.000023671908,0.000094073876,0.00011893084,0.00012599536,0.0006665663,0.0005320831,0.0003345557,0.0001683843,0.008202773],"study_design_scores_gemma":[0.0000040168184,0.00005882211,0.9963368,0.000012240028,0.000045806293,0.00009406463,0.00016432453,0.001867116,0.00043800744,0.0005476696,0.00042318608,0.000007902154],"about_ca_topic_score_codex":0.002639114,"about_ca_topic_score_gemma":0.0036293454,"teacher_disagreement_score":0.002639114,"about_ca_system_score_codex":0.00042421985,"about_ca_system_score_gemma":0.00033648298,"threshold_uncertainty_score":0.009930849},"labels":[],"label_agreement":null},{"id":"W4413052882","doi":"10.1016/j.finmar.2025.101000","title":"Liquidity spillovers: Evidence from two-step spinoffs","year":2025,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Fulbright Canada; Carleton University","keywords":"Market liquidity; Economics; Monetary economics; Business","score_opus":0.03138471894704447,"score_gpt":0.25129255804760137,"score_spread":0.2199078391005569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413052882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975883,0.0001268906,0.00007072798,0.00006977929,0.0000057349275,0.000016248567,0.00016200979,0.0000047842823,0.0019555131],"genre_scores_gemma":[0.99927825,0.00008777032,0.000052693416,0.000040063533,0.000012022521,0.000008248974,0.00016091634,0.0000014156842,0.00035873783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963665,0.00007257925,0.000028696166,0.000068966925,0.00006735009,0.00012572134],"domain_scores_gemma":[0.98836064,0.005709297,0.0033656724,0.00078997645,0.00057589007,0.0011984549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009767388,0.00028894673,0.00040260053,0.00084934116,0.0005550589,0.0014162719,0.000542339,0.0012712101,0.009472506],"category_scores_gemma":[0.007315877,0.00021624076,0.0002628105,0.0006277332,0.00076337846,0.0011901032,0.0015947099,0.0011345932,0.0009367147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018759672,0.0065658856,0.90015507,0.000330344,0.00051241025,0.003529274,0.002691479,0.0020189257,0.011306403,0.0038163222,0.002170263,0.048144013],"study_design_scores_gemma":[0.0005735335,0.0018708247,0.9869016,0.00007158801,0.00023580863,0.0006948744,0.00213913,0.0010458264,0.0023842736,0.0032365841,0.0007952965,0.000050753482],"about_ca_topic_score_codex":0.0028979075,"about_ca_topic_score_gemma":0.002473843,"teacher_disagreement_score":0.009472506,"about_ca_system_score_codex":0.00030161568,"about_ca_system_score_gemma":0.00033761424,"threshold_uncertainty_score":0.03168875},"labels":[],"label_agreement":null},{"id":"W4413095439","doi":"10.5539/ijef.v17n8p114","title":"A Capital Asset Pricing Model with Feedback Effect","year":2025,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Market portfolio; Economics; Econometrics; Portfolio; Stock (firearms); Stock market; Explanatory power; Financial economics; Stock market index; Expected return","score_opus":0.011667133276311498,"score_gpt":0.2113212099952133,"score_spread":0.1996540767189018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413095439","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32276642,0.0022253122,0.5913199,0.0061350386,0.0005196119,0.000277813,0.0023728795,0.0011909852,0.073191956],"genre_scores_gemma":[0.95266014,0.000523219,0.01575944,0.00033356354,0.0002516475,0.00019883449,0.0003456883,0.000053675914,0.029873727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99919444,0.00027624072,0.000027477188,0.00021373892,0.00014276344,0.00014529415],"domain_scores_gemma":[0.9979227,0.0011528147,0.00030897706,0.00013726528,0.0002928253,0.00018543885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020384872,0.0008871898,0.0013571959,0.0009674089,0.0004970294,0.0027344404,0.0021224713,0.0028823318,0.008203243],"category_scores_gemma":[0.005636807,0.00050976034,0.0011655987,0.00089755864,0.0009726848,0.0022897392,0.0012097307,0.0017773024,0.0010603731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017441987,0.00019565664,0.004815899,0.00013123218,0.00011454181,0.00079437107,0.00025555262,0.68029416,0.0017590299,0.29224643,0.0045296396,0.014689038],"study_design_scores_gemma":[0.00003985728,0.000035824527,0.0005016605,0.0000057212033,0.000023945848,0.000057622907,0.000010793672,0.97858024,0.0000677546,0.019803897,0.0008597157,0.000013013645],"about_ca_topic_score_codex":0.009827911,"about_ca_topic_score_gemma":0.003692216,"teacher_disagreement_score":0.009827911,"about_ca_system_score_codex":0.0010802725,"about_ca_system_score_gemma":0.0010832688,"threshold_uncertainty_score":0.027442575},"labels":[],"label_agreement":null},{"id":"W4413119156","doi":"10.1111/fire.70014","title":"Does Anticipated Regret Affect the Predictability of Stock Returns?","year":2025,"lang":"en","type":"article","venue":"Financial Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Predictability; Regret; Affect (linguistics); Stock (firearms); Economics; Financial economics; Business; Econometrics; Psychology; Mathematics; Engineering; Statistics","score_opus":0.0334174714067362,"score_gpt":0.270840268769116,"score_spread":0.23742279736237978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413119156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90935177,0.012441057,0.041290995,0.011533776,0.0004271357,0.000025954212,0.00033956097,0.00010600761,0.024483867],"genre_scores_gemma":[0.99796414,0.0011414397,0.00020605515,0.00011121652,0.00007624863,0.000002501229,0.00002288399,0.0000031139045,0.00047247284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99941933,0.0002799601,0.000021350901,0.00007493832,0.00011656113,0.00008791827],"domain_scores_gemma":[0.99058646,0.006307792,0.0021030807,0.00028104094,0.0004923446,0.00022924246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020995862,0.00025929097,0.00056850765,0.00030216802,0.00013973104,0.001527493,0.00044260835,0.00092611037,0.0025269156],"category_scores_gemma":[0.01582647,0.00017450507,0.00051700947,0.00024874634,0.0006849627,0.0009690915,0.00042345867,0.00089255266,0.0002474489],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019317742,0.00043490957,0.1400067,0.000879038,0.0013548821,0.0014991622,0.00048558123,0.46345034,0.008036602,0.26236948,0.007950431,0.111601025],"study_design_scores_gemma":[0.00016846857,0.0008516989,0.13335861,0.00019597902,0.0003884017,0.0005335878,0.0002981904,0.54879755,0.0021644125,0.30735922,0.005772256,0.0001116592],"about_ca_topic_score_codex":0.0011692607,"about_ca_topic_score_gemma":0.00052570185,"teacher_disagreement_score":0.0025269156,"about_ca_system_score_codex":0.00065644854,"about_ca_system_score_gemma":0.00035176222,"threshold_uncertainty_score":0.011103809},"labels":[],"label_agreement":null},{"id":"W4413129230","doi":"10.3390/jrfm18080451","title":"Influence of Macroeconomic Variables on the Brazilian Stock Market","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidade Presbiteriana Mackenzie","keywords":"Stock market; Economics; Business; Financial economics; Financial system; Geography","score_opus":0.00799440487904086,"score_gpt":0.19736118817629555,"score_spread":0.1893667832972547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413129230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99206394,0.0007747166,0.0007421196,0.00030915323,0.000026598584,0.000020326408,0.0006400003,0.000026252223,0.0053968243],"genre_scores_gemma":[0.9986413,0.00041055112,0.00016205403,0.000023524019,0.00001220396,0.0000059709287,0.0003775741,0.0000050723256,0.0003616323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947494,0.00013780536,0.000050284554,0.00007924734,0.0001834312,0.00007422219],"domain_scores_gemma":[0.99826044,0.0006311603,0.0005617,0.00010700724,0.0003558685,0.00008394162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012693228,0.0003402042,0.0003344941,0.0009287401,0.00021082736,0.0013773016,0.00018582137,0.00028664412,0.0010106566],"category_scores_gemma":[0.005388193,0.00012266722,0.0003958298,0.001161213,0.0002635879,0.00046020522,0.00045657982,0.0003850831,0.0001433331],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020573405,0.00011852287,0.9283736,0.00016924867,0.00030495806,0.0006222043,0.0004508187,0.02089198,0.00498631,0.004347812,0.0011089351,0.038419873],"study_design_scores_gemma":[0.000008446138,0.000116654955,0.97634673,0.00003921174,0.00008268061,0.00009880852,0.0003766435,0.017630879,0.0012387818,0.0008593259,0.0031823425,0.000019576193],"about_ca_topic_score_codex":0.030940937,"about_ca_topic_score_gemma":0.023024717,"teacher_disagreement_score":0.030940937,"about_ca_system_score_codex":0.00085991435,"about_ca_system_score_gemma":0.00068177085,"threshold_uncertainty_score":0.06152171},"labels":[],"label_agreement":null},{"id":"W4413192490","doi":"10.1016/j.jfineco.2025.104153","title":"Why does options market information predict stock returns?","year":2025,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Central Indiana Community Foundation; Institut Canadien des Dérivés","keywords":"Stock market; Financial economics; Business; Stock (firearms); Economics; Geography","score_opus":0.011400743525955652,"score_gpt":0.20079596664865584,"score_spread":0.18939522312270018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413192490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94979,0.006042923,0.019476559,0.014406114,0.00031349715,0.000035300734,0.001256599,0.00028699858,0.008391923],"genre_scores_gemma":[0.9960603,0.0011224357,0.0010107438,0.00046543856,0.0003755118,0.000007695594,0.00040144916,0.000021929043,0.00053455215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921894,0.00022637218,0.00006722872,0.00018096654,0.00019459845,0.00011188414],"domain_scores_gemma":[0.98114634,0.012776902,0.0024972921,0.0012230403,0.0016002862,0.0007562346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028103509,0.00066069426,0.0009463658,0.0017438101,0.0003497694,0.0022832442,0.0008440261,0.0016435111,0.0033841787],"category_scores_gemma":[0.031402547,0.00046442306,0.000721624,0.0016398224,0.0012590237,0.005290066,0.00089052663,0.0023552913,0.0012797249],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046330207,0.00019759167,0.8715174,0.00017971873,0.00074426655,0.00046065287,0.0003362949,0.0137334075,0.0018216829,0.013192119,0.004458104,0.09289541],"study_design_scores_gemma":[0.00010870413,0.00030929633,0.7074796,0.0002177416,0.00030471277,0.0005022202,0.00052138587,0.10693431,0.0027282191,0.17556064,0.0051890146,0.00014428685],"about_ca_topic_score_codex":0.004126897,"about_ca_topic_score_gemma":0.002590744,"teacher_disagreement_score":0.004126897,"about_ca_system_score_codex":0.00042288183,"about_ca_system_score_gemma":0.00037167038,"threshold_uncertainty_score":0.014862716},"labels":[],"label_agreement":null},{"id":"W4413213074","doi":"10.3390/jrfm18080449","title":"Falling Short in the Digital Age: Evaluating the Performance of Data Center ETFs","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Business; Economics; Financial economics","score_opus":0.05129197276645399,"score_gpt":0.2712840469360845,"score_spread":0.2199920741696305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413213074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99381,0.00037693183,0.0004322355,0.0003435013,0.000022676262,0.00002509502,0.0004333375,0.000030353165,0.004525996],"genre_scores_gemma":[0.99802965,0.00011011711,0.00054542394,0.000049938488,0.000024397847,0.000009349898,0.000589862,0.0000080699,0.00063315406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99621946,0.0012065439,0.00038271095,0.0003803562,0.001349174,0.00046169956],"domain_scores_gemma":[0.97585434,0.009464542,0.0066481503,0.0013799856,0.0040077115,0.0026452106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0099322405,0.0003906837,0.00039257263,0.0025106287,0.00045255627,0.0024122095,0.0005919165,0.0007326877,0.001423679],"category_scores_gemma":[0.039781205,0.00009387588,0.00029523735,0.0019088136,0.00054958573,0.0034475634,0.0015631595,0.00055651914,0.00050100975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019029721,0.0009783682,0.81739354,0.000114882,0.00020107502,0.0002699265,0.0005629154,0.021349883,0.00073019165,0.0058754776,0.0049584084,0.14566241],"study_design_scores_gemma":[0.00020965,0.009795219,0.85351914,0.00016923368,0.00018148507,0.0007498435,0.0036557491,0.09821482,0.005826053,0.0042914115,0.023260538,0.00012676141],"about_ca_topic_score_codex":0.0062084133,"about_ca_topic_score_gemma":0.0049257935,"teacher_disagreement_score":0.0099322405,"about_ca_system_score_codex":0.0014555161,"about_ca_system_score_gemma":0.0008834259,"threshold_uncertainty_score":0.05252731},"labels":[],"label_agreement":null},{"id":"W4413213808","doi":"10.2139/ssrn.5387158","title":"The Shades of Investment Factors","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Investment (military); Business; Economics; Political science; Law","score_opus":0.02371102190431903,"score_gpt":0.22769803685903636,"score_spread":0.20398701495471733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413213808","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32486013,0.0075170477,0.08262424,0.034807645,0.0013133833,0.000030305733,0.0004363741,0.0007406557,0.54767025],"genre_scores_gemma":[0.97017336,0.0011247569,0.003075492,0.00067109487,0.00060284854,0.000009480892,0.00004594738,0.00012289098,0.024174063],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946994,0.00012231799,0.0000195033,0.00013081645,0.00014990602,0.000107480744],"domain_scores_gemma":[0.99760157,0.0011677917,0.0002758451,0.00035232317,0.00024591186,0.00035650757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009727293,0.00055963517,0.00059679814,0.0010668001,0.0007693633,0.004376232,0.00045424688,0.0013005108,0.023766084],"category_scores_gemma":[0.008399063,0.00031200127,0.00035949203,0.0010056276,0.0036462522,0.0044130413,0.0012152392,0.0023756633,0.001892179],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007126634,0.000014577172,0.0017945069,0.00005344642,0.000018945393,0.00010641099,0.00071962323,0.0010244958,0.0010780465,0.9517032,0.005537162,0.037878413],"study_design_scores_gemma":[0.000027034168,0.000028190929,0.0047168694,0.000037528716,0.000018174755,0.00014706237,0.00048079406,0.0028183162,0.00039538648,0.96759564,0.023714509,0.00002055651],"about_ca_topic_score_codex":0.0017327475,"about_ca_topic_score_gemma":0.0017638634,"teacher_disagreement_score":0.023766084,"about_ca_system_score_codex":0.0008737906,"about_ca_system_score_gemma":0.0003627946,"threshold_uncertainty_score":0.07950544},"labels":[],"label_agreement":null},{"id":"W4413226431","doi":"10.1017/s0022109025101622","title":"Optimal Portfolio Choice with Fat Tails and Parameter Uncertainty","year":2025,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fonds De La Recherche Scientifique - FNRS","keywords":"Portfolio; Sample (material); Normality; Econometrics; Variance (accounting); Modern portfolio theory; Portfolio optimization; Multivariate normal distribution; Multivariate statistics; Mathematics; Statistics; Economics; Financial economics; Accounting","score_opus":0.025584495341005407,"score_gpt":0.2591429476822404,"score_spread":0.23355845234123498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413226431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5039293,0.00090046483,0.48976928,0.00056028884,0.00004229651,0.00014288652,0.0000882281,0.00020057302,0.00436669],"genre_scores_gemma":[0.96149826,0.00013948137,0.036773235,0.00010230253,0.00003135622,0.00007226957,0.00009704384,0.000036219124,0.0012498302],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99602914,0.0021388482,0.00024896674,0.0005143114,0.0007161372,0.0003526131],"domain_scores_gemma":[0.97505754,0.020522349,0.0017779787,0.00096960267,0.0009551239,0.0007174858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009062519,0.0009637801,0.0025727872,0.0012132712,0.00030575035,0.002403292,0.0010864809,0.0015302626,0.0013934512],"category_scores_gemma":[0.032736097,0.0011557373,0.00066842174,0.0008534372,0.0012282641,0.002742972,0.0011030198,0.0014488106,0.00028197895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004760175,0.00018274722,0.006539024,0.00007339552,0.00031100877,0.00018236943,0.000078504134,0.92641306,0.0014755415,0.0153251225,0.00064852013,0.048294723],"study_design_scores_gemma":[0.00005483962,0.00010165767,0.000996583,0.000013162362,0.000029665434,0.000043111813,0.00001509422,0.97963995,0.00064036774,0.018303374,0.00014818719,0.000013972324],"about_ca_topic_score_codex":0.00092936994,"about_ca_topic_score_gemma":0.00048007455,"teacher_disagreement_score":0.009062519,"about_ca_system_score_codex":0.0008785291,"about_ca_system_score_gemma":0.000850761,"threshold_uncertainty_score":0.047927737},"labels":[],"label_agreement":null},{"id":"W4413230687","doi":"10.20944/preprints202507.2609.v2","title":"The Art of Quantum Computing for Finance: Brief Overview and Prospects","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Quantum computer; Computer science; Quantum; Adversary; Finance; Key (lock); Economics; Computer security; Physics; Quantum mechanics","score_opus":0.1346192761879166,"score_gpt":0.3158700563176242,"score_spread":0.1812507801297076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413230687","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018717145,0.92680025,0.029588344,0.01119359,0.0020162035,0.000026142196,0.00011428245,0.00006780549,0.028321648],"genre_scores_gemma":[0.028002944,0.95195085,0.0072666258,0.002053189,0.00555202,0.00006109939,0.0000920695,0.000043755226,0.0049774796],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964285,0.000110044726,0.000022643851,0.00005623891,0.00012181595,0.00004644011],"domain_scores_gemma":[0.99930274,0.00051938446,0.000035229816,0.000039425657,0.00007003467,0.000033079134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095438113,0.00056962384,0.0008417584,0.0017514202,0.00074550766,0.001877193,0.0006337198,0.0022677341,0.0063737994],"category_scores_gemma":[0.0016084816,0.00040248313,0.00069167337,0.002344737,0.0019937104,0.0044250935,0.0012523142,0.0029774748,0.0014458018],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043421755,0.00006307137,0.00025460508,0.003703089,0.000040720617,0.00016875313,0.00017328664,0.0038664998,0.0015224995,0.76098925,0.028952572,0.20022228],"study_design_scores_gemma":[0.000011160011,0.00009232659,0.00051653717,0.0014388355,0.000021895006,0.0004308943,0.000084496416,0.004256136,0.00069183554,0.5009887,0.49142218,0.000044967725],"about_ca_topic_score_codex":0.0010139559,"about_ca_topic_score_gemma":0.00077958265,"teacher_disagreement_score":0.0063737994,"about_ca_system_score_codex":0.0013595665,"about_ca_system_score_gemma":0.0011203511,"threshold_uncertainty_score":0.021322489},"labels":[],"label_agreement":null},{"id":"W4413246834","doi":"10.2139/ssrn.5384084","title":"Do Recession Fears Help to Predict Stock Market Volatility? International Evidence","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Recession; Volatility (finance); Economics; Stock market volatility; Stock market; Stock (firearms); Financial economics; Global recession; Monetary economics; Econometrics; Keynesian economics; Geography","score_opus":0.03161589695316992,"score_gpt":0.27033775862751225,"score_spread":0.23872186167434234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413246834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94536144,0.019419322,0.00063795334,0.009413956,0.00021280732,0.000022809381,0.002144588,0.00001942231,0.022767754],"genre_scores_gemma":[0.99221206,0.004759516,0.00011665297,0.0005498687,0.00019991955,0.0000052911478,0.0011457072,0.000009766255,0.0010013018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939036,0.0001578436,0.000068255125,0.00014366275,0.00011730232,0.00012251231],"domain_scores_gemma":[0.9745747,0.012613688,0.008533627,0.0014243928,0.0016138884,0.0012397405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038649586,0.0005227911,0.00047465425,0.0011206832,0.0004195347,0.001686338,0.0008459678,0.001480076,0.00969],"category_scores_gemma":[0.018631203,0.00038383278,0.0009264263,0.0014090401,0.0011405249,0.0013802147,0.0011466334,0.0019106615,0.0016382664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072529924,0.00018723194,0.97896326,0.0001308861,0.0006265369,0.00014776671,0.00027983836,0.00030443945,0.00009570353,0.0011530039,0.0018307805,0.015555121],"study_design_scores_gemma":[0.00006201983,0.00012817772,0.99108475,0.0002133497,0.00071405666,0.000112717156,0.00079780695,0.00077650737,0.00015315678,0.001390675,0.004549818,0.000016896025],"about_ca_topic_score_codex":0.013131043,"about_ca_topic_score_gemma":0.011731707,"teacher_disagreement_score":0.013131043,"about_ca_system_score_codex":0.0003302459,"about_ca_system_score_gemma":0.00042703183,"threshold_uncertainty_score":0.032416224},"labels":[],"label_agreement":null},{"id":"W4413249538","doi":"10.1111/1911-3846.13073","title":"Interest in the short interest: The rise of private‐sector data","year":2025,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Lingnan University; Houston Advanced Research Center","keywords":"Private sector; Transparency (behavior); Business; Arbitrage; Price discovery; Private information retrieval; Interest rate; Finance; Economics; Economic growth; Futures contract","score_opus":0.33188383496436763,"score_gpt":0.3611187684026428,"score_spread":0.029234933438275157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413249538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7136664,0.013774506,0.030272372,0.10451012,0.0008369708,0.00018090945,0.006392131,0.00040129258,0.12996535],"genre_scores_gemma":[0.9923563,0.0010847895,0.0012019883,0.0019119711,0.00040600315,0.000016610207,0.00059905037,0.00003483232,0.0023883863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9792088,0.0075300536,0.0015478194,0.001968064,0.008481783,0.0012633686],"domain_scores_gemma":[0.5502655,0.26163983,0.133135,0.02327853,0.026193876,0.005487206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018210832,0.00016908154,0.0004130782,0.0024037664,0.00083727826,0.008319196,0.0011272416,0.002175994,0.008153206],"category_scores_gemma":[0.13886967,0.00027006093,0.00033229368,0.0036845293,0.0023967023,0.0075852564,0.0025005664,0.0040542837,0.0010631294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010276837,0.0002673672,0.43313742,0.0009354451,0.00019351149,0.0013602561,0.005570038,0.0035867584,0.0034728833,0.25896704,0.057424407,0.2340572],"study_design_scores_gemma":[0.00014084665,0.00045738093,0.43528152,0.0024740864,0.00032945405,0.0038599086,0.010865248,0.022573998,0.016433127,0.19093129,0.3163284,0.00032478606],"about_ca_topic_score_codex":0.0038080488,"about_ca_topic_score_gemma":0.0027956737,"teacher_disagreement_score":0.018210832,"about_ca_system_score_codex":0.002211941,"about_ca_system_score_gemma":0.0018757891,"threshold_uncertainty_score":0.096309245},"labels":[],"label_agreement":null},{"id":"W4413292818","doi":"10.1016/j.finmar.2025.101008","title":"International corporate bond returns: Uncovering predictability using machine learning","year":2025,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Manitoba; University of Guelph","funders":"","keywords":"Predictability; Corporate bond; Bond; Economics; Business; Financial economics; Financial system; Finance; Mathematics","score_opus":0.029807091745545543,"score_gpt":0.23135156464748147,"score_spread":0.20154447290193592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413292818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892175,0.00039199073,0.003527513,0.00036562217,0.000021685752,0.000015884438,0.004239508,0.0001057644,0.0021144492],"genre_scores_gemma":[0.9901417,0.00019483743,0.0012840828,0.000027017279,0.000050069753,0.000013919935,0.008027818,0.000012407382,0.00024815192],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962866,0.00010512827,0.000036305657,0.00008487815,0.00008416841,0.00006080227],"domain_scores_gemma":[0.99633646,0.0013678586,0.0012458143,0.0004974299,0.0003284793,0.00022389578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001332095,0.00042379406,0.0003598814,0.0030475291,0.0002614048,0.0009868832,0.00034211497,0.00045365017,0.00091732433],"category_scores_gemma":[0.006102066,0.00012822528,0.0003927744,0.0023981289,0.00028190555,0.0008300257,0.00072385697,0.0009091945,0.00041994423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015031784,0.00033130424,0.93119067,0.000043316893,0.0002296215,0.00019401088,0.00012015625,0.022858946,0.0008707461,0.002124156,0.0067004715,0.035186328],"study_design_scores_gemma":[0.000030999567,0.0001641606,0.77579206,0.000045201938,0.000073404706,0.00025121664,0.00019383509,0.21297856,0.0013261304,0.0043338053,0.0047747414,0.00003589619],"about_ca_topic_score_codex":0.0054115225,"about_ca_topic_score_gemma":0.005591555,"teacher_disagreement_score":0.0054115225,"about_ca_system_score_codex":0.00029923525,"about_ca_system_score_gemma":0.00026576262,"threshold_uncertainty_score":0.010760069},"labels":[],"label_agreement":null},{"id":"W4413380419","doi":"10.3390/jrfm18080454","title":"Deconstructing the Enron Bubble: The Context of Natural Ponzi Schemes and the Financial Saturation Hypothesis","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bubble; Context (archaeology); Monetary economics; Economics; Business; Financial system; Financial economics; Accounting; Physics; Mechanics; Geology","score_opus":0.008372184400535231,"score_gpt":0.18762848723166015,"score_spread":0.17925630283112493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413380419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9041387,0.0003996447,0.05638025,0.0022609911,0.00003420313,0.000067171415,0.000040780553,0.000109892855,0.03656837],"genre_scores_gemma":[0.997696,0.00006723262,0.0016322467,0.000048293055,0.000008622458,0.000011477271,0.0000090192725,0.0000069877497,0.0005200901],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99953115,0.00019050848,0.000017802047,0.00007042162,0.00010598158,0.00008420981],"domain_scores_gemma":[0.99640095,0.0020800142,0.00067146914,0.0003468569,0.00022970683,0.00027097794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019762677,0.0002059324,0.00028118325,0.00092528964,0.00080953335,0.001861869,0.0006584617,0.00088460505,0.0029219226],"category_scores_gemma":[0.012476615,0.00017003187,0.00026734592,0.00034506054,0.005104812,0.0055858977,0.0019675705,0.0010677797,0.00015649112],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023612777,0.000095954376,0.030291522,0.00013142152,0.000031224994,0.0014031283,0.007261089,0.01666083,0.0048403195,0.9145726,0.0010056522,0.023470098],"study_design_scores_gemma":[0.000040730494,0.00021070827,0.025986953,0.00012521229,0.000025000625,0.00085301296,0.0052933623,0.17829855,0.003155,0.77483475,0.011100364,0.000076480326],"about_ca_topic_score_codex":0.0017487219,"about_ca_topic_score_gemma":0.0015200785,"teacher_disagreement_score":0.0029219226,"about_ca_system_score_codex":0.0014833319,"about_ca_system_score_gemma":0.00084509247,"threshold_uncertainty_score":0.0107623935},"labels":[],"label_agreement":null},{"id":"W4413400591","doi":"10.2139/ssrn.5392551","title":"A Wake-Up Call for Climate Brownness: Consequences of Stock Price Crashes","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wake; Stock price; Stock (firearms); Economics; Financial economics; Business; Geography; Engineering; Geology; Series (stratigraphy)","score_opus":0.030080731397606118,"score_gpt":0.25192585479413926,"score_spread":0.22184512339653314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413400591","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17428531,0.014855823,0.00921059,0.74853873,0.0192386,0.000059386985,0.0031875619,0.0005935896,0.030030489],"genre_scores_gemma":[0.85678965,0.008518088,0.0028060365,0.09794862,0.01993621,0.000047557034,0.0011468396,0.0005029951,0.012303993],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99905354,0.00019009701,0.00005973351,0.00022872441,0.00033577887,0.00013214647],"domain_scores_gemma":[0.9861221,0.0057357624,0.0016676665,0.0011630869,0.0032201998,0.0020913333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035912353,0.0005381546,0.0006913326,0.000844339,0.0013948532,0.004249846,0.001229581,0.008315805,0.012337308],"category_scores_gemma":[0.025410451,0.00029476202,0.0007069444,0.0011890801,0.0016367073,0.004830996,0.0025845168,0.009614641,0.0020260003],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018902015,0.0002979278,0.052178428,0.0005411661,0.00042386033,0.004109357,0.0028277303,0.006187834,0.006122845,0.124391325,0.6553531,0.14567615],"study_design_scores_gemma":[0.00036505464,0.0005122008,0.09959237,0.0012510773,0.00041829539,0.0013746439,0.008086437,0.017562125,0.005075588,0.27799395,0.58722305,0.00054521597],"about_ca_topic_score_codex":0.009336655,"about_ca_topic_score_gemma":0.0073478017,"teacher_disagreement_score":0.012337308,"about_ca_system_score_codex":0.0015101273,"about_ca_system_score_gemma":0.0011133734,"threshold_uncertainty_score":0.041272342},"labels":[],"label_agreement":null},{"id":"W4413740308","doi":"10.1080/14697688.2025.2541859","title":"Macroscopic properties of equity markets: stylized facts and portfolio performance","year":2025,"lang":"en","type":"article","venue":"Quantitative Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stylized fact; Equity (law); Financial economics; Portfolio; Economics; Econometrics; Monetary economics; Business","score_opus":0.06022274948166912,"score_gpt":0.27784479901351505,"score_spread":0.21762204953184594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413740308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9031756,0.0016621613,0.07983874,0.0007114815,0.00004760367,0.0000511988,0.0013961853,0.00027920175,0.012837863],"genre_scores_gemma":[0.9963547,0.00036697186,0.0027642038,0.000020040025,0.000026111184,0.000010179615,0.00024130264,0.000016946628,0.00019957949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99931943,0.00021755793,0.000051841722,0.00014383378,0.0001928225,0.00007451168],"domain_scores_gemma":[0.99090964,0.004278506,0.002224113,0.0018355837,0.00049409294,0.00025803692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017442678,0.00046329552,0.0005026641,0.0010628949,0.00035435494,0.0019907933,0.00051351625,0.0006330968,0.0018365593],"category_scores_gemma":[0.016869854,0.0003205497,0.00037759202,0.0013668454,0.0014964439,0.0038612722,0.0010339805,0.00086066773,0.00018185367],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002376703,0.00020682365,0.10575,0.0004187689,0.00033396503,0.00067381706,0.00042326745,0.41331217,0.014342243,0.40692297,0.0043291156,0.0530491],"study_design_scores_gemma":[0.00004369763,0.00014190636,0.06944526,0.00008061558,0.000077178614,0.0005781715,0.00020062682,0.55906016,0.0076087397,0.35985646,0.0028179884,0.000089196816],"about_ca_topic_score_codex":0.0012231825,"about_ca_topic_score_gemma":0.0008700764,"teacher_disagreement_score":0.0019907933,"about_ca_system_score_codex":0.0006171139,"about_ca_system_score_gemma":0.00031807867,"threshold_uncertainty_score":0.009224713},"labels":[],"label_agreement":null},{"id":"W4413832462","doi":"10.3390/ijfs13030158","title":"What’s Trending? Stock-Level Investor Sentiment and Returns","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China; British Federation of Women Graduates","keywords":"Stock (firearms); Monetary economics; Business; Economics; Financial economics; Geography","score_opus":0.07570774529183441,"score_gpt":0.3041671406724389,"score_spread":0.22845939538060447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413832462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951757,0.00059240946,0.00031766994,0.0010518986,0.00002644644,0.0000025865622,0.00016499119,0.0000054889642,0.0026629118],"genre_scores_gemma":[0.99909353,0.00027047622,0.00006985873,0.000096312135,0.000057755737,9.765814e-7,0.00008278478,0.0000034010968,0.00032487154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998846,0.000025957681,0.000008640822,0.000028796065,0.000022507238,0.000029489067],"domain_scores_gemma":[0.9971517,0.0008044917,0.0014794115,0.00009637075,0.00019640742,0.00027163068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005093514,0.00012713841,0.0002010492,0.0003410758,0.00015109278,0.0011962963,0.00013221231,0.00046835377,0.0015269846],"category_scores_gemma":[0.004289149,0.00008111872,0.00020318273,0.00049309735,0.0002995361,0.0011209586,0.00022446795,0.00051509234,0.00036474928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016544324,0.000087526605,0.96913636,0.000029172264,0.0001564995,0.00019151071,0.00032633723,0.00078141474,0.0013812725,0.0024099264,0.0013496241,0.023984801],"study_design_scores_gemma":[0.000006369161,0.000106157146,0.9896427,0.00002604484,0.000055972796,0.0001772798,0.00055517064,0.003938614,0.00037747118,0.0035978078,0.0015060486,0.000010410938],"about_ca_topic_score_codex":0.002445952,"about_ca_topic_score_gemma":0.0030234063,"teacher_disagreement_score":0.002445952,"about_ca_system_score_codex":0.00024716524,"about_ca_system_score_gemma":0.0001100095,"threshold_uncertainty_score":0.0051082373},"labels":[],"label_agreement":null},{"id":"W4413968268","doi":"10.1287/mnsc.2022.02095","title":"Active Liquidity Management, Strategic Complementarities, and Market Price of Liquidity","year":2025,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Market liquidity; Business; Liquidity risk; Liquidity crisis; Economics; Industrial organization; Microeconomics; Monetary economics; Finance","score_opus":0.036482215282138956,"score_gpt":0.24474021843556876,"score_spread":0.2082580031534298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413968268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900919,0.00036274828,0.0028783774,0.00041858983,0.0000075745734,0.000008219715,0.00008499806,0.000016034912,0.006131626],"genre_scores_gemma":[0.9994105,0.000052347455,0.00018794999,0.00001435456,0.000008405183,0.0000019465672,0.000025297984,0.0000014165969,0.0002977247],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979645,0.00004065273,0.00001595507,0.000035045912,0.00005608167,0.000055745248],"domain_scores_gemma":[0.9963342,0.0014795872,0.0016294281,0.000115726325,0.00017193286,0.00026907766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006632016,0.0002043387,0.00022159507,0.00060314575,0.00024551176,0.0017426827,0.0002588804,0.0004909285,0.004746713],"category_scores_gemma":[0.006257208,0.00013150807,0.00015348847,0.00047935138,0.0004900463,0.001834961,0.00082612416,0.00054348574,0.0001955693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020955696,0.00074960076,0.6127112,0.0002889453,0.00039748897,0.0012312448,0.0014722395,0.035631675,0.035776615,0.16587597,0.0026250065,0.14114451],"study_design_scores_gemma":[0.0001152933,0.0006494594,0.72577757,0.000076302895,0.0001614744,0.00051375094,0.00090184633,0.0718308,0.0069901724,0.18949565,0.0033833676,0.00010430773],"about_ca_topic_score_codex":0.0013486922,"about_ca_topic_score_gemma":0.0012656009,"teacher_disagreement_score":0.004746713,"about_ca_system_score_codex":0.00053819845,"about_ca_system_score_gemma":0.00035262664,"threshold_uncertainty_score":0.015879333},"labels":[],"label_agreement":null},{"id":"W4413990563","doi":"10.3390/jrfm18090493","title":"Investor Emotions and Cognitive Biases in a Bearish Market Simulation: A Qualitative Study","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cognition; Cognitive psychology; Psychology; Neuroscience","score_opus":0.03697524509287962,"score_gpt":0.2916492412997269,"score_spread":0.2546739962068473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413990563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99674195,0.00005762952,0.0013052599,0.00034860213,0.000009522943,0.00003825253,0.00003338963,0.0000055693927,0.0014598421],"genre_scores_gemma":[0.99835134,0.000088127366,0.0005494782,0.00012615912,0.0000049580276,0.000047446305,0.000019374233,0.000006102981,0.00080705306],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9965168,0.0026667558,0.00007240284,0.00016961181,0.00026366173,0.00031080574],"domain_scores_gemma":[0.9908957,0.0071895025,0.0006821632,0.00021044242,0.0003964648,0.00062571716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050598783,0.00041132077,0.0004351081,0.0006855809,0.002390971,0.002132212,0.00074790214,0.00090806006,0.0017371336],"category_scores_gemma":[0.010283476,0.00027774402,0.00024054905,0.00038906603,0.0041092504,0.0020488258,0.0025415982,0.0014589785,0.00019632542],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012941947,0.00025108128,0.018695079,0.0001411826,0.000014464226,0.0015630999,0.9625064,0.0003490186,0.003537462,0.002282173,0.00054501067,0.009985566],"study_design_scores_gemma":[0.000014700323,0.00024152182,0.009361269,0.00010849749,0.000010829099,0.00055272557,0.97596973,0.0013238074,0.0015176542,0.001111675,0.009745015,0.00004264553],"about_ca_topic_score_codex":0.0018315502,"about_ca_topic_score_gemma":0.002767863,"teacher_disagreement_score":0.0050598783,"about_ca_system_score_codex":0.0014782012,"about_ca_system_score_gemma":0.0008358725,"threshold_uncertainty_score":0.026759565},"labels":[],"label_agreement":null},{"id":"W4414020230","doi":"10.3390/jrfm18090497","title":"Deep Hedging Under Market Frictions: A Comparison of DRL Models for Options Hedging with Impact and Transaction Costs","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transaction cost; Database transaction; Business; Economics; Financial economics; Microeconomics; Computer science","score_opus":0.01876639328519698,"score_gpt":0.24714113280082667,"score_spread":0.2283747395156297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414020230","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35840955,0.0015982486,0.6234667,0.0013516021,0.00010908265,0.00018286225,0.00021150074,0.0006016396,0.0140688075],"genre_scores_gemma":[0.9699618,0.0003206726,0.027020073,0.00017534045,0.000027521926,0.0000719427,0.000082833976,0.000034740813,0.0023051642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995442,0.00021428816,0.000032592678,0.0000783641,0.000078285375,0.000052212796],"domain_scores_gemma":[0.9961224,0.0026895828,0.0004256926,0.00025426346,0.0003045321,0.000203468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025833002,0.00079357973,0.0011700512,0.00048976747,0.00020968627,0.0014349102,0.0014652956,0.001180155,0.0022743605],"category_scores_gemma":[0.0066223405,0.00038324593,0.0006011881,0.0003330936,0.000822772,0.001648381,0.0012125664,0.0014268107,0.000336763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009962309,0.000063139574,0.0010046047,0.0000417615,0.00003120263,0.000033336502,0.000043460263,0.98007625,0.00031764916,0.0059762537,0.00019112433,0.012121626],"study_design_scores_gemma":[0.000006989977,0.00002577933,0.00007320863,0.0000038444564,0.0000037505895,0.0000044803523,0.000004093406,0.9986015,0.000056654604,0.0011435053,0.00007320618,0.000003001367],"about_ca_topic_score_codex":0.004139244,"about_ca_topic_score_gemma":0.0026266712,"teacher_disagreement_score":0.004139244,"about_ca_system_score_codex":0.0010004296,"about_ca_system_score_gemma":0.0009253858,"threshold_uncertainty_score":0.013661921},"labels":[],"label_agreement":null},{"id":"W4414051865","doi":"10.2139/ssrn.5458363","title":"Measuring Stock-level Misvaluation as Implied Asset Volatility: A Mertonian Perspective","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Implied volatility; Volatility (finance); Moneyness; Equity (law); Volatility smile; Asset (computer security); Empirical evidence","score_opus":0.0807636714690739,"score_gpt":0.27627223969625214,"score_spread":0.19550856822717824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414051865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88260055,0.001159377,0.10473518,0.0009432548,0.00006601841,0.00003393579,0.0003504102,0.00017377286,0.009937549],"genre_scores_gemma":[0.9933074,0.00023141825,0.005636898,0.00004989373,0.000045037803,0.0000066987996,0.00009115664,0.000018652052,0.000612948],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987301,0.00043578114,0.00012584186,0.00023146435,0.00039651277,0.000080298356],"domain_scores_gemma":[0.9920751,0.0041801524,0.0019986937,0.000902625,0.00058596453,0.00025747044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032339967,0.00068147463,0.0006562493,0.0013791214,0.00017130576,0.002939011,0.0008183604,0.0013640644,0.0013293783],"category_scores_gemma":[0.023668338,0.00031170723,0.0003679475,0.0015744811,0.000742648,0.004256478,0.0010380475,0.0010193712,0.000244563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064001733,0.0003461526,0.46824342,0.00030449437,0.0008163922,0.00074084883,0.0009753906,0.16636221,0.02865177,0.18345416,0.0021636162,0.14730155],"study_design_scores_gemma":[0.000028526918,0.00032910038,0.24165802,0.000092724746,0.00010508763,0.0006498244,0.00037950632,0.6128949,0.014165217,0.12716545,0.0023977205,0.00013394744],"about_ca_topic_score_codex":0.0006593566,"about_ca_topic_score_gemma":0.00065196626,"teacher_disagreement_score":0.0032339967,"about_ca_system_score_codex":0.0005036749,"about_ca_system_score_gemma":0.0003296998,"threshold_uncertainty_score":0.017103255},"labels":[],"label_agreement":null},{"id":"W4414107738","doi":"10.1016/j.econmod.2025.107269","title":"Liquidity premium and the shape of transaction costs","year":2025,"lang":"en","type":"article","venue":"Economic Modelling","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Market liquidity; Liquidity premium; Transaction cost; Liquidity risk; Portfolio; Accounting liquidity; Risk premium; Liquidity crisis","score_opus":0.02589780147910554,"score_gpt":0.20626620111042276,"score_spread":0.18036839963131723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414107738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86059326,0.0028183996,0.10050332,0.009147361,0.00016481515,0.000025375939,0.00027419688,0.00027930934,0.026193833],"genre_scores_gemma":[0.9972687,0.00026997807,0.0007928282,0.00004330518,0.000045733756,0.000003795649,0.000020580956,0.000023232196,0.0015318138],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999585,0.00018485302,0.000016507445,0.00005911453,0.000056325236,0.000098161494],"domain_scores_gemma":[0.97860134,0.016433356,0.002602855,0.0008227656,0.0005817769,0.0009578917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023169839,0.00047700034,0.0007285817,0.00117837,0.00039060868,0.0047731586,0.0010312481,0.0026581176,0.006404264],"category_scores_gemma":[0.031139068,0.000507835,0.00040570603,0.0008361473,0.0018531448,0.006523692,0.00096685195,0.0028971944,0.00039206346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043147476,0.0001306808,0.011168729,0.00011608412,0.00008182632,0.00061305513,0.0004419439,0.23260641,0.003005697,0.7346949,0.0032434233,0.013465722],"study_design_scores_gemma":[0.000044991575,0.00003098487,0.0054508154,0.00003607852,0.000030234562,0.00018837566,0.00013034845,0.5876667,0.00030771826,0.40555474,0.00050790276,0.000051156396],"about_ca_topic_score_codex":0.0019032303,"about_ca_topic_score_gemma":0.0011764539,"teacher_disagreement_score":0.006404264,"about_ca_system_score_codex":0.0012663214,"about_ca_system_score_gemma":0.0005476836,"threshold_uncertainty_score":0.021424353},"labels":[],"label_agreement":null},{"id":"W4414111259","doi":"10.1093/rfs/hhaf070","title":"The Persistence of Miscalibration","year":2025,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Persistence (discontinuity); Stock (firearms); Confidence interval; Stock market; Cohort; Business cycle","score_opus":0.05748879495412146,"score_gpt":0.27363040172017666,"score_spread":0.2161416067660552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414111259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967624,0.0004654061,0.00070237875,0.00013570738,0.00001164316,0.000007981253,0.00027819304,0.000020976904,0.0016152299],"genre_scores_gemma":[0.9993734,0.00008309466,0.00016805991,0.000020349731,0.000015997855,0.000002881868,0.00017033423,0.000003794392,0.00016230866],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99634165,0.001094254,0.0003948435,0.00062319584,0.0012191869,0.00032688194],"domain_scores_gemma":[0.8546812,0.058773056,0.05901606,0.012904517,0.012304121,0.002321005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060060574,0.00019618041,0.00045579788,0.0026206968,0.00055568805,0.0020251223,0.00074594084,0.0006014635,0.0018073492],"category_scores_gemma":[0.05510315,0.00021265364,0.00022883329,0.001891412,0.0006861767,0.001478399,0.00094289845,0.0007953285,0.0003667932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015073619,0.00002961445,0.97972715,0.000049897022,0.000113884234,0.000107733904,0.0013919324,0.00080983643,0.00068933156,0.00021010579,0.00058337394,0.016136402],"study_design_scores_gemma":[0.000002586141,0.000045756628,0.99541134,0.00003187827,0.000028522243,0.00012983104,0.00061476574,0.0013014394,0.00052706356,0.00037016737,0.0015167594,0.000019905185],"about_ca_topic_score_codex":0.006991423,"about_ca_topic_score_gemma":0.006410654,"teacher_disagreement_score":0.006991423,"about_ca_system_score_codex":0.00058802223,"about_ca_system_score_gemma":0.0004598029,"threshold_uncertainty_score":0.031763494},"labels":[],"label_agreement":null},{"id":"W4414155879","doi":"10.5539/ijef.v17n10p31","title":"Market Efficiency and Return Predictability: A Dynamic Perspective","year":2025,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predictability; Equity (law); Outlier; Market efficiency; Market timing; Intuition; Equity premium puzzle; Efficient-market hypothesis","score_opus":0.009556243851871695,"score_gpt":0.2233389379304334,"score_spread":0.2137826940785617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414155879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59163827,0.0027343729,0.35895464,0.008906257,0.00012692371,0.000058064757,0.00083192735,0.00025979662,0.036489725],"genre_scores_gemma":[0.9959882,0.00031276362,0.0026171135,0.000070606584,0.00011099601,0.000008751184,0.00006838975,0.000018831539,0.00080435455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99914145,0.00024128049,0.00004932504,0.00021830932,0.00019233659,0.00015729824],"domain_scores_gemma":[0.99117273,0.00502025,0.0023398255,0.0007688432,0.0004288778,0.0002693924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002110256,0.0006196629,0.00070776884,0.0016602048,0.0004528726,0.0042092735,0.0007928647,0.0010740366,0.0030850586],"category_scores_gemma":[0.014573714,0.0003983321,0.0006675925,0.0015974324,0.001993256,0.004703983,0.0017576112,0.0017955047,0.00019428133],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015884655,0.00011249398,0.08189934,0.00010184485,0.0003653671,0.00080019986,0.00048820348,0.43582425,0.0031779795,0.42297664,0.0017706932,0.05232407],"study_design_scores_gemma":[0.000014672226,0.00011973779,0.05560774,0.000046339337,0.00007901795,0.00019619917,0.00022525182,0.6393494,0.0010271203,0.300611,0.0026420765,0.000081505874],"about_ca_topic_score_codex":0.003020098,"about_ca_topic_score_gemma":0.0018096596,"teacher_disagreement_score":0.0042092735,"about_ca_system_score_codex":0.0010965081,"about_ca_system_score_gemma":0.0006630512,"threshold_uncertainty_score":0.0111602545},"labels":[],"label_agreement":null},{"id":"W4414171846","doi":"10.1007/s10479-025-06746-x","title":"Comparisons of mean-variance analysis and entropy-based approaches to portfolio selection under asymmetric returns in bear and bull markets","year":2025,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Portfolio; Portfolio optimization; Post-modern portfolio theory; Sharpe ratio; Autoregressive model; Capital asset pricing model; Rate of return on a portfolio; Replicating portfolio; Financial market","score_opus":0.24148770661282243,"score_gpt":0.3554903035305996,"score_spread":0.1140025969177772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414171846","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4745588,0.0017372738,0.5197889,0.0007527154,0.0000764258,0.00008363823,0.0001030778,0.00023536696,0.0026636904],"genre_scores_gemma":[0.9455515,0.0005968573,0.052290455,0.00010145465,0.0001478639,0.00004935139,0.00018520006,0.00007699523,0.0010003046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950604,0.0037363598,0.0001688556,0.00021736973,0.00063273736,0.00018430768],"domain_scores_gemma":[0.91767454,0.07678087,0.0015504641,0.0012779032,0.0022261136,0.000490187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01831936,0.00064091076,0.0015853363,0.0031783762,0.0004981696,0.0020918318,0.0012984804,0.0011257452,0.0011806925],"category_scores_gemma":[0.045963764,0.00051604,0.0014527584,0.0016005497,0.0011976549,0.003753753,0.0013392268,0.0012741758,0.00010930681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015223713,0.0003591642,0.026284538,0.0002496916,0.001323078,0.00012758219,0.0005042577,0.74125654,0.0017517031,0.08022757,0.0014104315,0.14498316],"study_design_scores_gemma":[0.000041160198,0.00008277175,0.005003197,0.000011408407,0.00006804587,0.000016054637,0.000039846153,0.9759345,0.00031358044,0.018361233,0.00010395635,0.00002422574],"about_ca_topic_score_codex":0.0035691808,"about_ca_topic_score_gemma":0.0036470057,"teacher_disagreement_score":0.01831936,"about_ca_system_score_codex":0.0013583836,"about_ca_system_score_gemma":0.0015230095,"threshold_uncertainty_score":0.09688318},"labels":[],"label_agreement":null},{"id":"W4414287898","doi":"10.3390/jrfm18090521","title":"Optimizing Investments in the Portfolio Intelligence (PI) Model","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Trakya Üniversitesi; University of West Attica; University of Macedonia","keywords":"Portfolio; Selection (genetic algorithm); Portfolio optimization; Moment (physics); Noise (video); Investment (military); Separation property; Chaotic","score_opus":0.022134583884163117,"score_gpt":0.2271363197680282,"score_spread":0.20500173588386508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414287898","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014031656,0.00031620084,0.980025,0.00051410164,0.000034992547,0.000026196913,0.000042174226,0.000077388504,0.0049323104],"genre_scores_gemma":[0.6898737,0.0011605712,0.29763427,0.00023859985,0.00016069545,0.00023312317,0.00017982865,0.00007979361,0.0104394555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991898,0.00035387863,0.000029022885,0.00012488404,0.00022112753,0.00008128313],"domain_scores_gemma":[0.999114,0.0005429192,0.00012149343,0.00005597256,0.00011142869,0.00005415468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018461741,0.0008971957,0.0010542887,0.0005699736,0.0002919103,0.0016804377,0.0010228733,0.0012024764,0.0020228445],"category_scores_gemma":[0.0038401787,0.0004373342,0.00052700547,0.0006758367,0.00084708905,0.0017727679,0.0010787068,0.0012604106,0.00032230958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022352942,0.000027309985,0.0004616697,0.000035670062,0.000041972926,0.000060137838,0.00001984263,0.8855208,0.0006318125,0.0927362,0.00076026033,0.019681921],"study_design_scores_gemma":[0.000003669033,0.000017102968,0.0000665368,0.0000039370975,0.0000063387347,0.000010041197,0.000001976918,0.98105556,0.00013238558,0.018308504,0.00039005253,0.0000037347033],"about_ca_topic_score_codex":0.0015005356,"about_ca_topic_score_gemma":0.0011983127,"teacher_disagreement_score":0.0020228445,"about_ca_system_score_codex":0.0008758937,"about_ca_system_score_gemma":0.0010947451,"threshold_uncertainty_score":0.009763658},"labels":[],"label_agreement":null},{"id":"W4414342025","doi":"10.1111/fima.70010","title":"Speed Bump and Stock Market Quality: Evidence From NYSE American","year":2025,"lang":"en","type":"article","venue":"Financial Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Huron Technologies (Canada)","funders":"","keywords":"Market liquidity; Stock exchange; SWORD; Stock (firearms); Market maker; Stock market","score_opus":0.04174873566985494,"score_gpt":0.2640651789407565,"score_spread":0.22231644327090155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414342025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99584514,0.00042050733,0.00021960854,0.0003117239,0.000015341055,0.000012917059,0.0006994704,0.0000088791285,0.0024664435],"genre_scores_gemma":[0.9984054,0.0002559217,0.000106603184,0.000050962917,0.000044735876,0.000006446843,0.00072288926,0.0000049408213,0.00040221095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841523,0.0004685012,0.0001961476,0.00016709816,0.00064117304,0.00011180182],"domain_scores_gemma":[0.9167867,0.025767347,0.046754494,0.003725277,0.0045246584,0.0024415147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044408916,0.00023276004,0.0004736687,0.0018410158,0.00044120036,0.0019235545,0.000394532,0.00077582186,0.0031900485],"category_scores_gemma":[0.029089246,0.00023696806,0.00029709528,0.002364174,0.0007710213,0.0012851616,0.00080040045,0.0010110321,0.00047405288],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004044174,0.00015409767,0.9914014,0.000022960648,0.00016205871,0.00006881179,0.00013212224,0.0004973959,0.00030823547,0.00049835927,0.0008823635,0.005467826],"study_design_scores_gemma":[0.000028930459,0.00007588999,0.99739933,0.0000115170305,0.000035634144,0.000032940046,0.000114843955,0.001111909,0.00015357534,0.0003054187,0.00071803905,0.000011979529],"about_ca_topic_score_codex":0.011752817,"about_ca_topic_score_gemma":0.012141146,"teacher_disagreement_score":0.011752817,"about_ca_system_score_codex":0.0004700161,"about_ca_system_score_gemma":0.0002685653,"threshold_uncertainty_score":0.023485959},"labels":[],"label_agreement":null},{"id":"W4414344427","doi":"10.1007/s11408-025-00487-4","title":"Revisiting Boehmer et al. (2021): recent period, alternative method, different conclusions","year":2025,"lang":"en","type":"article","venue":"Financial markets and portfolio management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Criticism","score_opus":0.017968971834987347,"score_gpt":0.2653673068801077,"score_spread":0.24739833504512032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414344427","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012231463,0.16345859,0.047587495,0.5780973,0.1552297,0.00027891668,0.006571439,0.0003890887,0.036156014],"genre_scores_gemma":[0.11315943,0.136205,0.11686724,0.39518526,0.15696475,0.0008446753,0.00408032,0.0014823785,0.07521097],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98496115,0.0069675148,0.0016254933,0.0013575795,0.004500295,0.0005878207],"domain_scores_gemma":[0.8929597,0.062059168,0.0031835416,0.0058307354,0.033945538,0.0020213274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029201452,0.0012568819,0.0012667394,0.00973137,0.002375799,0.009837628,0.0035104458,0.0055641276,0.014210457],"category_scores_gemma":[0.11864057,0.00044830705,0.0014826434,0.011419405,0.002240913,0.00648218,0.002747311,0.0069630607,0.009694879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036919146,0.00015402024,0.0047586397,0.0019184616,0.00023344069,0.00024543138,0.0020122367,0.00037449325,0.00044386243,0.07728926,0.68147445,0.23072654],"study_design_scores_gemma":[0.000086341686,0.00006197147,0.009024724,0.0031742197,0.00025292474,0.00038093413,0.0014450062,0.0015006219,0.0012586842,0.05240834,0.93026674,0.00013946295],"about_ca_topic_score_codex":0.020513205,"about_ca_topic_score_gemma":0.03630364,"teacher_disagreement_score":0.029201452,"about_ca_system_score_codex":0.004848312,"about_ca_system_score_gemma":0.0066365534,"threshold_uncertainty_score":0.15443385},"labels":[],"label_agreement":null},{"id":"W4414346965","doi":"10.1080/07350015.2025.2551244","title":"Robust Conditional Kurtosis and the Cross-Section of International Stock Returns","year":2025,"lang":"en","type":"article","venue":"Journal of Business and Economic Statistics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council","keywords":"Kurtosis; Stock (firearms); Robustness (evolution); Nonparametric statistics","score_opus":0.028546142271554744,"score_gpt":0.2389199218166753,"score_spread":0.21037377954512054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414346965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6414234,0.005552546,0.33208463,0.0013884418,0.0002542233,0.000057447865,0.0017916593,0.00086890114,0.016578712],"genre_scores_gemma":[0.9880989,0.0011472442,0.007977079,0.000114627466,0.0002855349,0.00003823243,0.00084125466,0.0001114551,0.0013856122],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99914765,0.00019773538,0.00007292845,0.00016003085,0.00029492396,0.00012681243],"domain_scores_gemma":[0.98257244,0.009147913,0.00444585,0.0016066331,0.0017553946,0.00047183665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002599307,0.000719818,0.00054974714,0.0026613746,0.00021473454,0.0015973739,0.00066867814,0.0004762566,0.0039983084],"category_scores_gemma":[0.02820352,0.0001986996,0.00072171923,0.002363955,0.0010296641,0.0028779607,0.0011026122,0.00094213604,0.00076956936],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037400273,0.00021206244,0.25446913,0.00044018787,0.0018427026,0.0018295486,0.00079306425,0.2146415,0.01634672,0.35059786,0.006729695,0.15172346],"study_design_scores_gemma":[0.000039550363,0.00029432218,0.30667564,0.00020743471,0.0003473971,0.0016348247,0.00028367626,0.3077304,0.006602099,0.3668386,0.00908281,0.00026318085],"about_ca_topic_score_codex":0.0015031699,"about_ca_topic_score_gemma":0.0008597891,"teacher_disagreement_score":0.0039983084,"about_ca_system_score_codex":0.00055583584,"about_ca_system_score_gemma":0.00045933505,"threshold_uncertainty_score":0.013746679},"labels":[],"label_agreement":null},{"id":"W4414419499","doi":"10.3390/jrfm18100530","title":"Do Active Sustainable Equity Funds Outperform Their Passive Peers? Evidence from the COVID-19 Pandemic","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Passive management; Equity (law); Global assets under management; Index (typography); Index fund; Institutional investor; Fund of funds","score_opus":0.04979922406295959,"score_gpt":0.2756139179602313,"score_spread":0.22581469389727174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414419499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98621505,0.0023599016,0.000078235666,0.0034536612,0.000040826682,0.000014321772,0.00054275396,0.000007904912,0.007287426],"genre_scores_gemma":[0.99878937,0.00041131864,0.000023029994,0.00024898926,0.000031355547,0.000003515265,0.00019507138,0.0000027833,0.00029456583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985833,0.0004454993,0.000082294886,0.00015775194,0.00030164002,0.00042951456],"domain_scores_gemma":[0.9859233,0.0035756857,0.0063991724,0.00058596267,0.0014438943,0.0020719846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037787617,0.00022376854,0.00031307753,0.0008453594,0.00035521286,0.0014736545,0.0005847675,0.0007494603,0.004079523],"category_scores_gemma":[0.020393858,0.000117531796,0.00024041653,0.00059203076,0.0010472159,0.0024517064,0.0016540635,0.0009741292,0.00062325166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024099897,0.00029288552,0.9391947,0.00014315598,0.00031601047,0.0001861115,0.0008255742,0.0006811222,0.0003015068,0.0041503133,0.0066205263,0.04487798],"study_design_scores_gemma":[0.00013754221,0.0008308212,0.98866445,0.00014748822,0.000111403344,0.00010979633,0.0019729396,0.0006028505,0.00040423474,0.0013627071,0.005637944,0.000017830587],"about_ca_topic_score_codex":0.006486951,"about_ca_topic_score_gemma":0.006583909,"teacher_disagreement_score":0.006486951,"about_ca_system_score_codex":0.00062353833,"about_ca_system_score_gemma":0.0005965411,"threshold_uncertainty_score":0.019984186},"labels":[],"label_agreement":null},{"id":"W4414444863","doi":"10.1111/1911-3846.70007","title":"Downside risk similarity and M&amp;As","year":2025,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Southwestern University of Finance and Economics; National Natural Science Foundation of China","keywords":"Downside risk; Goodwill; Similarity (geometry); Profitability index; Measure (data warehouse); Similarity measure","score_opus":0.10829617697085396,"score_gpt":0.3301816686595213,"score_spread":0.22188549168866734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414444863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99184024,0.00014869487,0.0027725787,0.00011108314,0.000008792543,0.000023185286,0.000056004184,0.00001682309,0.005022711],"genre_scores_gemma":[0.9995609,0.000016477416,0.00022368385,0.0000061780406,0.000007842863,0.0000025766042,0.00002666142,8.372464e-7,0.00015479668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988856,0.000285053,0.00011367902,0.00019060944,0.00043156662,0.00009356066],"domain_scores_gemma":[0.975137,0.0052982518,0.015528175,0.0008243709,0.0019796696,0.0012325431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013671005,0.00021381251,0.0002914926,0.0010898245,0.00023274584,0.0011998032,0.00023202132,0.00042260272,0.0023963137],"category_scores_gemma":[0.01346471,0.00007517254,0.00021785412,0.000670057,0.0006768361,0.0012169854,0.0010447686,0.0004754154,0.00020161147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091643416,0.00046863378,0.90205646,0.00012507554,0.00029302368,0.0005173991,0.00065109174,0.015260037,0.013048431,0.015988262,0.001023113,0.049652126],"study_design_scores_gemma":[0.000014224447,0.0005994356,0.9485223,0.000023163278,0.000038594506,0.0006329203,0.00081058696,0.031130543,0.002966649,0.014112514,0.0011128329,0.000036136993],"about_ca_topic_score_codex":0.0006417976,"about_ca_topic_score_gemma":0.00049894635,"teacher_disagreement_score":0.0023963137,"about_ca_system_score_codex":0.00043163175,"about_ca_system_score_gemma":0.00020910568,"threshold_uncertainty_score":0.008016467},"labels":[],"label_agreement":null},{"id":"W4414692003","doi":"10.1016/j.jfineco.2025.104168","title":"How valuable is corporate adaptation to crisis? Estimates from Covid-19 work-from-home announcements","year":2025,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National University of Singapore; University of Oxford","keywords":"Adaptation (eye); Flexibility (engineering); Ex-ante; Sample (material); Dimension (graph theory); Resilience (materials science); Value (mathematics); Psychological resilience","score_opus":0.06696549114448515,"score_gpt":0.2470505777035196,"score_spread":0.18008508655903444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414692003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965379,0.0001462864,0.00034860757,0.00019693736,0.000008774497,0.0000074895734,0.0011208041,0.000017345063,0.0016159145],"genre_scores_gemma":[0.9975643,0.00007001652,0.00010548049,0.000021283324,0.000024286022,0.000007145806,0.0017700224,0.0000057220336,0.0004317941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995079,0.00013725038,0.000041816867,0.00009304742,0.00013070271,0.00008921757],"domain_scores_gemma":[0.98549783,0.0057889437,0.0059605814,0.000758144,0.00079281454,0.0012016998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014902048,0.00022345086,0.00025552846,0.0009538575,0.0002888878,0.0012443862,0.00025340778,0.00038919123,0.0020475646],"category_scores_gemma":[0.010446546,0.00013857824,0.0002526105,0.001049696,0.00039039727,0.0009777537,0.0009730448,0.0007736544,0.00063955644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018914622,0.00006040721,0.98854977,0.000023399189,0.00005943973,0.00007935754,0.0003368802,0.0014818299,0.00032506717,0.00034228078,0.0015454398,0.0070069856],"study_design_scores_gemma":[0.0000042942347,0.000058738544,0.995394,0.0000102415115,0.00001833237,0.00003581108,0.0006903959,0.0021505326,0.00021095529,0.00019964542,0.0012186558,0.000008540447],"about_ca_topic_score_codex":0.0049714404,"about_ca_topic_score_gemma":0.0041813008,"teacher_disagreement_score":0.0049714404,"about_ca_system_score_codex":0.0003107269,"about_ca_system_score_gemma":0.00017316644,"threshold_uncertainty_score":0.009885013},"labels":[],"label_agreement":null},{"id":"W4414803394","doi":"10.1016/j.frl.2025.108638","title":"Intraday and overnight return anomalies: Evidence from 11.6 million price observations","year":2025,"lang":"en","type":"article","venue":"Finance research letters","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Narodowe Centrum Nauki","keywords":"Investment (military); Stock (firearms); Stock market; Investment strategy; Investment decisions; Efficient-market hypothesis; Investment performance","score_opus":0.10739587304117633,"score_gpt":0.29440816408055515,"score_spread":0.18701229103937883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414803394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966865,0.00019727465,0.0003317244,0.00018377377,0.000015005122,0.0000036578324,0.0018184811,0.000014700772,0.00074885477],"genre_scores_gemma":[0.99250317,0.00036227173,0.00041076163,0.000033308093,0.00009188926,0.00000577695,0.0060060066,0.000012647849,0.00057417626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999246,0.0001677682,0.000103304985,0.0001500628,0.00024106744,0.00009185646],"domain_scores_gemma":[0.98713034,0.005763318,0.004286203,0.0008900182,0.001404456,0.0005256474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001349043,0.00021395118,0.00031224705,0.0010949287,0.00026407416,0.00091973774,0.00038555308,0.0007148812,0.0010999244],"category_scores_gemma":[0.0069788983,0.00031141288,0.00032815416,0.0020244797,0.0003051362,0.0011640354,0.0006779449,0.00072174537,0.0006938914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008366076,0.00023266186,0.97026676,0.00006851423,0.0002691712,0.00046221973,0.0005226651,0.0014338079,0.0023680322,0.0005698746,0.0038104525,0.019159235],"study_design_scores_gemma":[0.000020247515,0.000069342685,0.9963755,0.0000085659485,0.000051247345,0.00008698002,0.0001881528,0.0014201049,0.00039065888,0.00015907142,0.0012188221,0.000011364219],"about_ca_topic_score_codex":0.008279155,"about_ca_topic_score_gemma":0.009906848,"teacher_disagreement_score":0.008279155,"about_ca_system_score_codex":0.00022909873,"about_ca_system_score_gemma":0.0002356891,"threshold_uncertainty_score":0.016461909},"labels":[],"label_agreement":null},{"id":"W4414867116","doi":"10.3386/w34323","title":"Bond-Stock Comovements","year":2025,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bond; Inflation (cosmology); Sign (mathematics); Government (linguistics); Quarter (Canadian coin); Risk premium; Business cycle; Government spending; Monetary policy","score_opus":0.3994846600421128,"score_gpt":0.47163729072546823,"score_spread":0.07215263068335542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414867116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95562315,0.004005328,0.0064048492,0.00087534724,0.000094670075,0.00004180844,0.0032306872,0.00012839741,0.02959589],"genre_scores_gemma":[0.99166286,0.0015034144,0.0005069571,0.00004056434,0.000055437,0.000011682663,0.0016856481,0.000013529102,0.004519802],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994893,0.00009990154,0.00005598745,0.00010874917,0.00018423538,0.00006182116],"domain_scores_gemma":[0.99668795,0.0013223507,0.00091763155,0.00023046297,0.0005574176,0.00028428863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013244477,0.00031292503,0.00044439983,0.0018591718,0.0003471083,0.0021414359,0.000317372,0.0005020576,0.007013718],"category_scores_gemma":[0.011098516,0.00015560148,0.00030451344,0.0031826044,0.00031815693,0.0017623286,0.000821571,0.0007427701,0.0009702597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044856,0.00028964982,0.71006906,0.00028780592,0.00034100114,0.000622443,0.0012965497,0.016210917,0.0044353902,0.12007733,0.0065159462,0.13940543],"study_design_scores_gemma":[0.00005112494,0.00028456416,0.816539,0.00008732698,0.00018918351,0.0007301594,0.001380735,0.036104273,0.0034029544,0.11324924,0.027903546,0.000077917204],"about_ca_topic_score_codex":0.0025986778,"about_ca_topic_score_gemma":0.0025897191,"teacher_disagreement_score":0.007013718,"about_ca_system_score_codex":0.0007487248,"about_ca_system_score_gemma":0.00031420603,"threshold_uncertainty_score":0.02346319},"labels":[],"label_agreement":null},{"id":"W4414936217","doi":"10.28924/2291-8639-23-2025-237","title":"Return Reversal in Portfolios Optimized under Exchange Rate Risk: Evidence from Vietnam’s HNX Market","year":2025,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"FPT University","keywords":"Exchange rate; Capital asset pricing model; Portfolio; Stock exchange; Robustness (evolution); Equity (law); Stock market; Foreign exchange risk; Foreign exchange market","score_opus":0.01943439897088203,"score_gpt":0.26185318373372735,"score_spread":0.2424187847628453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414936217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993395,0.00006800048,0.00006785757,0.000035236357,0.0000014587455,0.0000026827695,0.00004463797,0.000002371113,0.0004382244],"genre_scores_gemma":[0.9995864,0.00006657003,0.00004329288,0.000008350513,0.0000038008945,8.2079396e-7,0.00012227066,0.0000015624671,0.00016691315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984944,0.0000373548,0.000013145622,0.00002471345,0.00004586523,0.000029491375],"domain_scores_gemma":[0.9981646,0.00045394586,0.0008824177,0.00014443701,0.00020877707,0.00014574903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006606335,0.00012359335,0.0001629465,0.00053031516,0.0001509141,0.0005711306,0.0001809682,0.00019179104,0.0009356603],"category_scores_gemma":[0.0036434017,0.000094286224,0.00009531143,0.00040835675,0.00025727268,0.000482013,0.00025334422,0.00024793987,0.00012943221],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005401832,0.00021787442,0.95430076,0.000052465886,0.00011122695,0.0016897928,0.00096467655,0.0033201517,0.0037513545,0.0014080257,0.0007838219,0.03285966],"study_design_scores_gemma":[0.000019777432,0.00023733855,0.98752034,0.000012353758,0.000026363532,0.00048332085,0.0006851588,0.007356358,0.0017299202,0.00054233224,0.001373742,0.000013005086],"about_ca_topic_score_codex":0.0068145767,"about_ca_topic_score_gemma":0.003688664,"teacher_disagreement_score":0.0068145767,"about_ca_system_score_codex":0.00029522862,"about_ca_system_score_gemma":0.00022800744,"threshold_uncertainty_score":0.013549805},"labels":[],"label_agreement":null},{"id":"W4415159537","doi":"10.1371/journal.pone.0334399","title":"Delay, deny, and defend: Public outrage at health insurance companies and stock market debacle","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Stock market; Event study; Stock (firearms); Stakeholder; Public health; Health care; Outrage; Anger; Revenue","score_opus":0.06690857846014418,"score_gpt":0.22007164569956317,"score_spread":0.15316306723941897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415159537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98275256,0.00058904354,0.0009231941,0.008704666,0.00015641592,0.000026404046,0.000092134665,0.000027969256,0.0067275544],"genre_scores_gemma":[0.996626,0.00035543737,0.00030676287,0.001497885,0.00017978021,0.0000146980165,0.00006676776,0.000018309987,0.000934437],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9964809,0.0020985338,0.00014981675,0.00019470832,0.0006898422,0.00038632372],"domain_scores_gemma":[0.96839607,0.021174826,0.007963103,0.00069367676,0.0010080317,0.0007643715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056713545,0.00030733316,0.00023323923,0.0010707036,0.0026951649,0.0032620202,0.00046690146,0.001616706,0.0024537481],"category_scores_gemma":[0.023880303,0.00025096128,0.00030334105,0.0006996911,0.0030015009,0.0039115595,0.0031896315,0.0021234835,0.00033983108],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070629927,0.00027519683,0.26923338,0.00045866947,0.00013706896,0.0028509395,0.6198615,0.0007771041,0.0054006577,0.009273842,0.017044904,0.07398047],"study_design_scores_gemma":[0.000030118392,0.00023658025,0.21054497,0.0004310894,0.000080317935,0.00091235526,0.7308417,0.0039746594,0.002858749,0.0032671967,0.046732638,0.00008964565],"about_ca_topic_score_codex":0.0050715124,"about_ca_topic_score_gemma":0.0065139276,"teacher_disagreement_score":0.0056713545,"about_ca_system_score_codex":0.0023821658,"about_ca_system_score_gemma":0.0012473703,"threshold_uncertainty_score":0.029993355},"labels":[],"label_agreement":null},{"id":"W4415214731","doi":"10.1016/j.ribaf.2025.103160","title":"Hedge funds and sentiment-induced overpricing: Arbitrageurs or speculators?","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Université du Québec à Montréal","keywords":"Hedge fund; Speculation; Portfolio; Arbitrage; Risk arbitrage; Hedge; Yield (engineering); Financial crisis","score_opus":0.09032095098367349,"score_gpt":0.3335426912600426,"score_spread":0.2432217402763691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415214731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9566714,0.006529589,0.007822445,0.008755261,0.0002532212,0.000013132964,0.00005881802,0.000049552185,0.01984666],"genre_scores_gemma":[0.9950637,0.001336556,0.00039467833,0.0002516194,0.00027976022,0.00000428186,0.00002099739,0.000008754017,0.0026396788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99980885,0.000054422297,0.00001712116,0.000040993265,0.00003119347,0.000047392477],"domain_scores_gemma":[0.99671763,0.0014366432,0.001108344,0.00024883656,0.00024904526,0.00023951955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014381032,0.0003047777,0.00062832906,0.00042602228,0.00029903816,0.0029736399,0.0005153634,0.00225633,0.0051191635],"category_scores_gemma":[0.009415818,0.00023634324,0.0003206579,0.00034310695,0.0010824265,0.004518501,0.00066378777,0.0011611865,0.0003764821],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013198729,0.0005016535,0.038357817,0.00030801143,0.00030739955,0.0015907753,0.0007322687,0.00868107,0.012108174,0.8371474,0.009325374,0.0896202],"study_design_scores_gemma":[0.0002540896,0.00025625838,0.037540533,0.00013712008,0.0001905704,0.0007171436,0.0007084892,0.057931133,0.0037194367,0.8913136,0.007165407,0.00006615838],"about_ca_topic_score_codex":0.0003558736,"about_ca_topic_score_gemma":0.00026661638,"teacher_disagreement_score":0.0051191635,"about_ca_system_score_codex":0.00029808888,"about_ca_system_score_gemma":0.00031542877,"threshold_uncertainty_score":0.017125368},"labels":[],"label_agreement":null},{"id":"W4415609290","doi":"10.47191/afmj/v10i10.10","title":"Comparing the Returns of Holding Stocks in the Dow Jones Index Constant vs. Investing in the Actively Updated Dow Index","year":2025,"lang":"","type":"article","venue":"Account and Financial Management Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Toronto","funders":"","keywords":"Sharpe ratio; Portfolio; Index (typography); Downside risk; Constant (computer programming); Recession; Index fund","score_opus":0.02982900093388362,"score_gpt":0.23331552665569183,"score_spread":0.2034865257218082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415609290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817383,0.00016347776,0.0001842744,0.000041712734,0.00000862941,0.000004479305,0.00017950272,0.000007788324,0.0012361543],"genre_scores_gemma":[0.99838054,0.00012652537,0.0001493812,0.000017616965,0.000016015285,0.0000019783397,0.00059072475,0.0000030754827,0.000713984],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961144,0.00004510665,0.000041341224,0.0000783167,0.00015006485,0.00007375017],"domain_scores_gemma":[0.996666,0.0010270876,0.001331256,0.00026052038,0.0003873965,0.0003275973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017619218,0.00028542595,0.00029475417,0.0009848806,0.000106611806,0.0011171934,0.00025936565,0.00036589528,0.0009779652],"category_scores_gemma":[0.0076819384,0.00008432034,0.00034128872,0.00085799384,0.00020095702,0.0011140868,0.0005012237,0.0004421403,0.00039911165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012134353,0.00025227494,0.94245267,0.000049402384,0.00024504948,0.00016749502,0.00010884265,0.004104065,0.0038336485,0.0011018097,0.0007258977,0.045745462],"study_design_scores_gemma":[0.000028451872,0.0014429438,0.9870847,0.000011530324,0.00011977794,0.00018296904,0.00022449116,0.005395696,0.0033114168,0.0004451978,0.001731152,0.000021671378],"about_ca_topic_score_codex":0.0030751212,"about_ca_topic_score_gemma":0.003457111,"teacher_disagreement_score":0.0030751212,"about_ca_system_score_codex":0.00049372145,"about_ca_system_score_gemma":0.0002934019,"threshold_uncertainty_score":0.009318054},"labels":[],"label_agreement":null},{"id":"W4415667505","doi":"10.1287/mnsc.2024.05922","title":"Value Premium and Equity Term Structures of Value and Growth Firms","year":2025,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Equity (law); Equity premium puzzle; Value (mathematics); Value premium; Growth stock; Term (time); Equity value; Risk premium; Intrinsic value (animal ethics)","score_opus":0.018661033347616884,"score_gpt":0.2440960783743786,"score_spread":0.22543504502676173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415667505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908823,0.00021747587,0.0049826223,0.00034531954,0.0000051174793,0.000010408839,0.00023275973,0.000038835336,0.0032853556],"genre_scores_gemma":[0.99885,0.00005363842,0.00031990395,0.000012088774,0.000011810281,0.0000017430186,0.00014868462,0.0000044616468,0.0005977094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997619,0.000035434943,0.000011085403,0.000053109805,0.000076923585,0.000061601226],"domain_scores_gemma":[0.98857635,0.00645308,0.0030693356,0.00045206628,0.000615921,0.0008332561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013091263,0.00019820443,0.00023506454,0.00083600514,0.00018691209,0.001458975,0.00031258631,0.0005450701,0.002834021],"category_scores_gemma":[0.015054757,0.00016463632,0.00025117624,0.00043179718,0.0006404021,0.0019262552,0.0005320561,0.0008659105,0.00029124005],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009348938,0.0003758069,0.6975751,0.00010152588,0.00020295798,0.00077392656,0.0012054797,0.07056578,0.01932942,0.10654748,0.0026828435,0.09970487],"study_design_scores_gemma":[0.000041495558,0.00019286032,0.71723694,0.000031526397,0.00006424941,0.0003765604,0.00023867092,0.14368248,0.005041141,0.13192989,0.0010857943,0.00007847687],"about_ca_topic_score_codex":0.0021728715,"about_ca_topic_score_gemma":0.001925511,"teacher_disagreement_score":0.002834021,"about_ca_system_score_codex":0.000944683,"about_ca_system_score_gemma":0.00025359943,"threshold_uncertainty_score":0.009480774},"labels":[],"label_agreement":null},{"id":"W4415746832","doi":"10.1016/j.jbankfin.2025.107579","title":"Crowded spaces and anomalies","year":2025,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Scuola Normale Superiore; Université de Lausanne; Social Sciences and Humanities Research Council of Canada; Università Bocconi; American University; Healthcare Excellence Canada","keywords":"Equity (law); Stock (firearms); Stock market; Anomaly (physics); Market liquidity; Crash","score_opus":0.016780428178177213,"score_gpt":0.21871319973627995,"score_spread":0.20193277155810274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415746832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909991,0.0016675395,0.003157737,0.0004928245,0.00004430652,0.000009486468,0.00016863458,0.00002681791,0.003433652],"genre_scores_gemma":[0.9991873,0.00019140267,0.00026111296,0.000022768148,0.000049256178,0.0000026578366,0.00005103903,0.0000036072986,0.00023068883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906546,0.00030613496,0.000065079024,0.00021054377,0.00021078505,0.00014199784],"domain_scores_gemma":[0.9788287,0.008612648,0.0086233,0.0013659326,0.000994931,0.0015744084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009727265,0.0002664436,0.00035246045,0.00158674,0.00057962944,0.0017610766,0.00043056282,0.00070393516,0.00434943],"category_scores_gemma":[0.014720106,0.00018692829,0.0003023314,0.0010334516,0.0015400405,0.002352577,0.0021185775,0.000704115,0.00035081935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009516618,0.00022713291,0.87306887,0.00019416279,0.00047263273,0.001379568,0.0034463375,0.012033139,0.0035759802,0.031305064,0.002462338,0.07088309],"study_design_scores_gemma":[0.000042475443,0.00048687492,0.8898394,0.00015480905,0.00015731114,0.0019912417,0.006333309,0.01654188,0.001824761,0.07460772,0.007912214,0.000107893815],"about_ca_topic_score_codex":0.0016527042,"about_ca_topic_score_gemma":0.0013017067,"teacher_disagreement_score":0.00434943,"about_ca_system_score_codex":0.00044312276,"about_ca_system_score_gemma":0.0002412666,"threshold_uncertainty_score":0.014550328},"labels":[],"label_agreement":null},{"id":"W4415830435","doi":"10.1016/j.jedc.2025.105203","title":"Do factor models capture both sentiment and limited attention?","year":2025,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Central Indiana Community Foundation; Science, Technology and Innovation Commission of Shenzhen Municipality; National Natural Science Foundation of China; Saint Mary’s University","keywords":"Stock (firearms); Valuation (finance); Factor (programming language); Factor analysis; Sentiment analysis","score_opus":0.01148250164169694,"score_gpt":0.20606460072979246,"score_spread":0.1945820990880955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415830435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7832509,0.0034940026,0.18158333,0.009904103,0.0005206421,0.00009304216,0.0019610703,0.0007757083,0.01841716],"genre_scores_gemma":[0.9916181,0.00050338946,0.00313137,0.00037120585,0.00021243226,0.000016140792,0.0004118427,0.0000664694,0.003669095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994862,0.00017359512,0.000029575196,0.00016179966,0.00003297952,0.000115830335],"domain_scores_gemma":[0.9914316,0.005205401,0.0014260575,0.0008548988,0.0006567338,0.00042520143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030383565,0.0012707029,0.0014147055,0.0008366777,0.00038833625,0.002561398,0.0010306746,0.002344662,0.006857686],"category_scores_gemma":[0.023241611,0.0007226291,0.0011676084,0.0009192418,0.0007433263,0.007483828,0.0006085763,0.0012958532,0.0015333658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018570401,0.0005560738,0.28886646,0.00065963704,0.0030820875,0.000709135,0.0010526163,0.3429564,0.004088704,0.12742414,0.0331944,0.1955532],"study_design_scores_gemma":[0.00015308277,0.00012756581,0.043900654,0.000084568244,0.00041316115,0.00014815404,0.00024544884,0.75598574,0.0005095606,0.1956189,0.0027461797,0.000067031564],"about_ca_topic_score_codex":0.0153308455,"about_ca_topic_score_gemma":0.013370909,"teacher_disagreement_score":0.0153308455,"about_ca_system_score_codex":0.0006274105,"about_ca_system_score_gemma":0.00057932286,"threshold_uncertainty_score":0.030483246},"labels":[],"label_agreement":null},{"id":"W4415955183","doi":"10.3390/jrfm18110620","title":"The Overnight Jump: Disentangling Microstructural and Informational Volatility in TOCOM Rubber Futures","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Prince of Songkla University","keywords":"Futures contract; Volatility (finance); Heteroscedasticity; Autoregressive model; Leverage (statistics); Risk management; Volatility risk premium; Volatility swap; Stochastic volatility","score_opus":0.0053108179768651355,"score_gpt":0.1938945847035845,"score_spread":0.18858376672671937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415955183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829206,0.000109828616,0.01566534,0.00013572232,0.0000063857424,0.000006316826,0.00005756795,0.000027398146,0.001070915],"genre_scores_gemma":[0.9987143,0.000038175116,0.0010021575,0.0000068760155,0.0000069532066,0.0000021994676,0.00005397409,0.0000060458347,0.00016924873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999736,0.000074699936,0.000016484106,0.000056912893,0.00007221333,0.000043708806],"domain_scores_gemma":[0.9980597,0.0010564555,0.00048045855,0.00018677245,0.000111115114,0.00010549936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015091872,0.00029724318,0.00031645986,0.00057693804,0.00020572261,0.0009562479,0.0005039599,0.00043859213,0.00092537387],"category_scores_gemma":[0.0059972447,0.00021862714,0.00042071275,0.0005081604,0.0004633554,0.0019625009,0.00090859615,0.0008472896,0.00007316499],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096156826,0.00031955002,0.42192963,0.00012937863,0.00039311004,0.001433657,0.0013621177,0.38299045,0.014827063,0.08789916,0.0014237753,0.086330555],"study_design_scores_gemma":[0.000010864489,0.00011599259,0.09642234,0.00001602759,0.000046425783,0.00013829506,0.0002585701,0.8738373,0.0016386752,0.027006896,0.0004718016,0.000036909732],"about_ca_topic_score_codex":0.0036329944,"about_ca_topic_score_gemma":0.0034663838,"teacher_disagreement_score":0.0036329944,"about_ca_system_score_codex":0.00035645222,"about_ca_system_score_gemma":0.00038407286,"threshold_uncertainty_score":0.007981479},"labels":[],"label_agreement":null},{"id":"W4415991739","doi":"10.3390/jrfm18110623","title":"Ranking Investment Opportunities Across Risk-Aversion Levels: Application to Islamic and Conventional Indices","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"American University of Sharjah","keywords":"Sharpe ratio; Stochastic dominance; Dominance (genetics); Bootstrapping (finance); Emerging markets; Ranking (information retrieval); Index (typography); Equity (law); Asset allocation","score_opus":0.02458590731675538,"score_gpt":0.2363352229464354,"score_spread":0.21174931562968002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415991739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57424337,0.0014415568,0.402402,0.0004882513,0.00006179195,0.00013046671,0.00053736643,0.00027020392,0.020424949],"genre_scores_gemma":[0.95098907,0.00026101252,0.047540367,0.000039012502,0.00004209023,0.000031560827,0.00019738388,0.000030801097,0.00086873013],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99871826,0.00051670644,0.0000860865,0.00017037214,0.00040177928,0.000106838146],"domain_scores_gemma":[0.98682076,0.008558022,0.0019454419,0.0010649503,0.001162046,0.00044870732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005010196,0.00066126,0.0005485028,0.002948866,0.000319322,0.0019691535,0.00067874946,0.0006499128,0.002356383],"category_scores_gemma":[0.026846826,0.00018988879,0.0005004048,0.0022748662,0.0009270603,0.002843318,0.00140453,0.0010560236,0.0003067916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040868056,0.00030177523,0.17649697,0.0002004066,0.0003017741,0.00039160138,0.0008130905,0.3010861,0.0040421505,0.1603181,0.002626783,0.3530125],"study_design_scores_gemma":[0.000031436724,0.00035064266,0.050503284,0.00006677832,0.0000404506,0.00019889894,0.00033774093,0.83838797,0.0019188217,0.104881115,0.0031971303,0.00008574842],"about_ca_topic_score_codex":0.001911772,"about_ca_topic_score_gemma":0.0018679777,"teacher_disagreement_score":0.005010196,"about_ca_system_score_codex":0.00067368406,"about_ca_system_score_gemma":0.0005883508,"threshold_uncertainty_score":0.026496828},"labels":[],"label_agreement":null},{"id":"W4416074935","doi":"10.3390/jrfm18110629","title":"Herding Insider Traders: The Case of Opportunistic Insiders","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Portfolio; Stock market; Insider; Stock (firearms); Insider trading","score_opus":0.025935174065995874,"score_gpt":0.22352660264545515,"score_spread":0.19759142857945927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416074935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966413,0.00025376806,0.0012575551,0.00024922052,0.00000724133,0.0000130620565,0.000017138324,0.0000047934445,0.0015559357],"genre_scores_gemma":[0.9986506,0.00012566839,0.0006662989,0.00007654224,0.000017958118,0.000006376066,0.000015858279,0.0000010816278,0.0004396101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990232,0.00034702627,0.00006339865,0.00022187387,0.0001229634,0.00022152776],"domain_scores_gemma":[0.9894967,0.003875911,0.0050696484,0.0008401008,0.00024126595,0.0004764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024872737,0.0001883704,0.00039178363,0.00084270973,0.0009363801,0.001291973,0.00059083174,0.000933517,0.0017810549],"category_scores_gemma":[0.009453608,0.00020637977,0.0003572234,0.00050985854,0.0010795868,0.0013749852,0.00089583284,0.00061767024,0.00016550957],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013178133,0.00016026327,0.9546296,0.000058274796,0.00015492269,0.004569679,0.008250272,0.00072706153,0.0013995491,0.002974008,0.00037970926,0.026564704],"study_design_scores_gemma":[0.000034765548,0.00059522124,0.9274449,0.0001912946,0.00031920723,0.011703892,0.029440595,0.015406763,0.0008738287,0.008824145,0.005093929,0.000071498616],"about_ca_topic_score_codex":0.005049363,"about_ca_topic_score_gemma":0.009241303,"teacher_disagreement_score":0.005049363,"about_ca_system_score_codex":0.00039206268,"about_ca_system_score_gemma":0.000295328,"threshold_uncertainty_score":0.013154089},"labels":[],"label_agreement":null},{"id":"W4416123135","doi":"10.54254/2754-1169/2025.bl29554","title":"The Functions, Pricing Determinants, and Macroeconomic Influence of Stocks","year":2025,"lang":"","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Market liquidity; Order (exchange); Equity (law); Stock (firearms); Financial intermediary; Capital market; Intermediation; Interest rate; Stock market","score_opus":0.009206415965237698,"score_gpt":0.24527460581990052,"score_spread":0.23606818985466282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416123135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9227156,0.032651555,0.010652921,0.0032986486,0.00011619118,0.000021968852,0.00043640746,0.000054565528,0.030052202],"genre_scores_gemma":[0.98884165,0.009816058,0.0005336002,0.000064843865,0.00007517789,0.000004210288,0.00006598245,0.000007029072,0.0005914432],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997342,0.00010609686,0.000020201143,0.00004771018,0.00005946218,0.00003218902],"domain_scores_gemma":[0.9984534,0.0008342838,0.0003673572,0.00008464716,0.0001898899,0.000070479386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078797597,0.00022037154,0.00029471316,0.0008275081,0.00017402552,0.0023711526,0.0002617425,0.00037689504,0.0015712394],"category_scores_gemma":[0.0046630707,0.00018419193,0.00033599848,0.000959113,0.0010092042,0.0019290468,0.00049722247,0.00047489096,0.00019307394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040122957,0.00018652326,0.34325787,0.0010964421,0.00078645657,0.0009593848,0.0016677364,0.03342092,0.012534939,0.34506103,0.0030019255,0.2576256],"study_design_scores_gemma":[0.000032010368,0.00016525832,0.69055885,0.0003294534,0.0003126782,0.00041777448,0.0014621087,0.03282629,0.0041555823,0.24660084,0.023033535,0.00010563013],"about_ca_topic_score_codex":0.0035070279,"about_ca_topic_score_gemma":0.0028176904,"teacher_disagreement_score":0.0035070279,"about_ca_system_score_codex":0.0006508218,"about_ca_system_score_gemma":0.00048059787,"threshold_uncertainty_score":0.006973207},"labels":[],"label_agreement":null},{"id":"W4416145927","doi":"10.2139/ssrn.5737763","title":"The Externality of Foreign Investor Disclosure","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Herding; Equity (law); Foreign direct investment; Externality; Predictability; Stock (firearms); Stock market; Herd behavior","score_opus":0.013273997471860215,"score_gpt":0.2167395146820067,"score_spread":0.20346551721014647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416145927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91830784,0.0021843975,0.0057690428,0.008141033,0.00016939237,0.000032675263,0.00088785135,0.00014508517,0.06436269],"genre_scores_gemma":[0.994572,0.00061052054,0.0001404627,0.00019706931,0.00012366295,0.0000052674545,0.00011800136,0.000015418389,0.0042175762],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989957,0.0004263076,0.00007577767,0.00013837536,0.00017007315,0.00019374862],"domain_scores_gemma":[0.966962,0.0176183,0.011038924,0.0016718305,0.0014885274,0.0012204376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026783005,0.00020970807,0.00072787184,0.0011146001,0.00051823456,0.0044594887,0.0003800218,0.0019207242,0.010480152],"category_scores_gemma":[0.028012512,0.00024420093,0.00042596334,0.0015265304,0.0011168061,0.0035126265,0.0015973184,0.0017915136,0.0006348953],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021176343,0.00060697854,0.356094,0.00039978782,0.00043842554,0.0026250787,0.0017390784,0.05198675,0.0025016973,0.47768396,0.018024283,0.085782416],"study_design_scores_gemma":[0.0002506293,0.0006444992,0.31083947,0.00042258194,0.00050340407,0.0026145654,0.0033196546,0.060750656,0.0036298365,0.5916249,0.025233952,0.00016584808],"about_ca_topic_score_codex":0.0015126574,"about_ca_topic_score_gemma":0.0014260529,"teacher_disagreement_score":0.010480152,"about_ca_system_score_codex":0.0012208668,"about_ca_system_score_gemma":0.00067917554,"threshold_uncertainty_score":0.03505963},"labels":[],"label_agreement":null},{"id":"W4416283906","doi":"10.1287/mnsc.2024.06127","title":"Whence LASSO? A Rational Interpretation","year":2025,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Asset (computer security); Competition (biology); Interpretation (philosophy); Dual (grammatical number); Selection (genetic algorithm); Work (physics); Lasso (programming language)","score_opus":0.01560690484732972,"score_gpt":0.22543641199237907,"score_spread":0.20982950714504936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416283906","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006235974,0.0053536617,0.8456813,0.121559024,0.001825247,0.000053733595,0.00030307556,0.00026563925,0.018722411],"genre_scores_gemma":[0.5540081,0.009175917,0.37833878,0.03147731,0.011762504,0.00060197676,0.0004463791,0.0009078784,0.013281156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9873226,0.0076635205,0.00076588447,0.001825447,0.0020198496,0.00040267562],"domain_scores_gemma":[0.9723466,0.021158429,0.0022934459,0.0020372958,0.0016603561,0.0005039473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02206545,0.0011948956,0.001687243,0.0013121576,0.0011673021,0.0069215633,0.0023002317,0.005404231,0.0058861533],"category_scores_gemma":[0.06336539,0.0008494597,0.00095091836,0.0008511977,0.011556652,0.008473902,0.002675238,0.009082372,0.0011370573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005157089,0.000018847348,0.0005790913,0.00013530251,0.00006655077,0.00014963046,0.0002060767,0.008874913,0.00021060002,0.9519096,0.011382201,0.026415566],"study_design_scores_gemma":[0.000021402771,0.000011396417,0.00009066683,0.000079111116,0.0000064000087,0.00004820848,0.0000439225,0.021308055,0.00010626626,0.97245365,0.0058127134,0.000018187367],"about_ca_topic_score_codex":0.0017640257,"about_ca_topic_score_gemma":0.0013364155,"teacher_disagreement_score":0.02206545,"about_ca_system_score_codex":0.0017894862,"about_ca_system_score_gemma":0.001721695,"threshold_uncertainty_score":0.11669463},"labels":[],"label_agreement":null},{"id":"W4416286150","doi":"10.2139/ssrn.5699102","title":"Investor Beliefs and Asset Prices Under Selective Memory","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Capital asset pricing model; Asset (computer security); Volatility (finance); Risk premium; Aggregate (composite); Consumption-based capital asset pricing model","score_opus":0.017445209332045988,"score_gpt":0.22743675881515218,"score_spread":0.2099915494831062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416286150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969015,0.000072526454,0.0017951952,0.00025544144,0.0000049995742,0.0000027561628,0.0000379425,0.000008780787,0.0009209254],"genre_scores_gemma":[0.9993001,0.00006338944,0.00009559725,0.000021017819,0.000013059823,0.0000018737177,0.000022353688,0.0000022970628,0.00048017886],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976414,0.00004304629,0.000014856338,0.000043932534,0.000036623434,0.00009743903],"domain_scores_gemma":[0.98710805,0.008369809,0.002952238,0.0005815068,0.0003721613,0.00061614544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017601439,0.00024261166,0.0005772694,0.00043632294,0.00023358708,0.0015068443,0.00048869115,0.0011425023,0.0030714134],"category_scores_gemma":[0.017404964,0.00034684912,0.00026830475,0.0003669621,0.0008288785,0.0022634412,0.0007139011,0.0012235804,0.00024151239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006479968,0.0015421377,0.5759782,0.00037714624,0.0009053154,0.00497183,0.0020581053,0.14727549,0.0298744,0.1499085,0.0032303715,0.07739857],"study_design_scores_gemma":[0.00041090616,0.0010935032,0.40897512,0.000044282864,0.0004006456,0.0008963545,0.0010327944,0.3859782,0.006446082,0.19415234,0.00047984463,0.00009000442],"about_ca_topic_score_codex":0.001533466,"about_ca_topic_score_gemma":0.001435364,"teacher_disagreement_score":0.0030714134,"about_ca_system_score_codex":0.00045164803,"about_ca_system_score_gemma":0.00030551403,"threshold_uncertainty_score":0.010274947},"labels":[],"label_agreement":null},{"id":"W4416288038","doi":"10.2139/ssrn.5756369","title":"Currency Speculation","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Currency; Speculation; Predictability; Sample (material); Investment (military); Carry (investment); Capital (architecture); Investment strategy","score_opus":0.01969272436748312,"score_gpt":0.23437701022275612,"score_spread":0.214684285855273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416288038","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18855986,0.013480899,0.051558007,0.018293064,0.005171864,0.00005517993,0.0030497252,0.0017610783,0.7180703],"genre_scores_gemma":[0.8985306,0.003493175,0.0042787236,0.0004952264,0.0015940843,0.000024726913,0.0015635054,0.00015032606,0.08986959],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998609,0.00003038711,0.000009501416,0.000037131565,0.000046913818,0.0000150889455],"domain_scores_gemma":[0.9994223,0.00017553056,0.00007531282,0.0001477849,0.00012478999,0.000054316082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038057016,0.00032306483,0.00030312856,0.00088981714,0.0003811491,0.0021235833,0.00024305527,0.0008126891,0.032718662],"category_scores_gemma":[0.003404366,0.00017031972,0.0002531769,0.0010095378,0.00036588378,0.0019663845,0.0005879836,0.00079225824,0.006825206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032632708,0.000046951212,0.0052611907,0.00018367963,0.00004604423,0.0005086122,0.00025819373,0.004406926,0.0029908225,0.72474796,0.07937489,0.18184842],"study_design_scores_gemma":[0.00005567122,0.000076195916,0.00675775,0.00011109895,0.000040294053,0.0009324575,0.00014102554,0.031472858,0.003406042,0.843824,0.113157205,0.000025431082],"about_ca_topic_score_codex":0.00033734896,"about_ca_topic_score_gemma":0.00016620226,"teacher_disagreement_score":0.032718662,"about_ca_system_score_codex":0.00035396783,"about_ca_system_score_gemma":0.00028288964,"threshold_uncertainty_score":0.10945481},"labels":[],"label_agreement":null},{"id":"W4416333281","doi":"10.1016/j.finr.2025.100072","title":"Evasive shareholder meetings, meeting announcement lag, and stock price crash risk","year":2025,"lang":"en","type":"article","venue":"Finance Research Open","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Shareholder; Stock price; Stock (firearms); Shareholder value; Crash","score_opus":0.1046869288896011,"score_gpt":0.34735284375350534,"score_spread":0.24266591486390424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416333281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982838,0.00009918865,0.00041778723,0.00013911306,0.000008909899,0.000009843669,0.00022554304,0.000006839214,0.0008088978],"genre_scores_gemma":[0.9994054,0.00004067211,0.00009639853,0.0000141827195,0.000018589219,0.0000065559,0.00020077541,9.463341e-7,0.00021663707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990707,0.00020029841,0.00012206222,0.00015705568,0.00025223475,0.00019760686],"domain_scores_gemma":[0.9510528,0.013647087,0.030090587,0.0015684162,0.000981766,0.0026593467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022545282,0.00029903676,0.00026328652,0.0008781119,0.00027919255,0.0009900611,0.00042791545,0.00067610276,0.0038261919],"category_scores_gemma":[0.022705745,0.00014269422,0.00034207976,0.0006008573,0.00030015784,0.00084547343,0.0008817964,0.001212776,0.0005571722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012897774,0.00007428016,0.99433315,0.000011133213,0.000067898465,0.000055976696,0.000108284155,0.0005264369,0.0002779537,0.00020109038,0.00019824787,0.0040164646],"study_design_scores_gemma":[0.0000074991276,0.00019713349,0.9957891,0.000010106415,0.00003968385,0.00007179221,0.0003434407,0.002527192,0.00031645744,0.00040155178,0.00028628617,0.000009822124],"about_ca_topic_score_codex":0.0019699878,"about_ca_topic_score_gemma":0.0038460956,"teacher_disagreement_score":0.0038261919,"about_ca_system_score_codex":0.0003073865,"about_ca_system_score_gemma":0.00027776495,"threshold_uncertainty_score":0.012799919},"labels":[],"label_agreement":null},{"id":"W4416386256","doi":"10.2139/ssrn.5718682","title":"Toward a Theory of Intermediary Asset Pricing","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Stock (firearms); Capital asset pricing model; Stock market; Market liquidity; Equity premium puzzle; Volatility (finance); Market maker; Risk premium; Contrarian","score_opus":0.023700509426639173,"score_gpt":0.230817412340773,"score_spread":0.20711690291413382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416386256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012832158,0.0009985954,0.9417541,0.005915811,0.00024324162,0.000033325003,0.00013989094,0.00017898844,0.037903834],"genre_scores_gemma":[0.6530261,0.0048029353,0.3094875,0.001738009,0.002303588,0.00032405887,0.00032907212,0.0002818105,0.027706986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989549,0.0005418333,0.00004733755,0.00012280862,0.00023741163,0.00009556486],"domain_scores_gemma":[0.99650383,0.002089584,0.00025189418,0.0004044239,0.0005063212,0.00024408253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029054915,0.0008423032,0.0012518192,0.0020709056,0.0013246754,0.004971301,0.0030044713,0.0037766225,0.010060391],"category_scores_gemma":[0.008161944,0.00073528587,0.0013276953,0.002300256,0.004086024,0.009716783,0.0026156015,0.004926768,0.0015889073],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015041381,0.0000053302992,0.000054739223,0.0000055411647,0.0000018742936,0.000013307467,0.00002374841,0.0023299593,0.000035160694,0.9958146,0.000659336,0.0010548722],"study_design_scores_gemma":[0.0000033719691,0.0000022486333,0.000024470322,0.0000042538777,0.0000019181962,0.000014298467,0.000010911686,0.031885944,0.000015584008,0.9670913,0.0009428951,0.0000027295453],"about_ca_topic_score_codex":0.001964009,"about_ca_topic_score_gemma":0.0014847635,"teacher_disagreement_score":0.010060391,"about_ca_system_score_codex":0.0019307893,"about_ca_system_score_gemma":0.0017119878,"threshold_uncertainty_score":0.033655405},"labels":[],"label_agreement":null},{"id":"W4416392883","doi":"10.3390/jrfm18110652","title":"Trading Volume Dynamics and Macroeconomic Influences in Thailand’s Equity Derivatives Market: A VAR Approach","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Futures contract; Index (typography); Algorithmic trading; Equity (law); Forward market; Market liquidity; Derivatives market; Stock market index; Vector autoregression","score_opus":0.013865468020537298,"score_gpt":0.22081531063735285,"score_spread":0.20694984261681557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416392883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978685,0.0010292219,0.014302393,0.00072985544,0.000053456246,0.000030724517,0.0005221644,0.00010091932,0.004546165],"genre_scores_gemma":[0.9974802,0.0003920951,0.00072718377,0.000023328605,0.000042550502,0.000012077425,0.00028086224,0.000009995573,0.0010317974],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952054,0.00016120728,0.000035760233,0.000105082014,0.000088183304,0.000089208486],"domain_scores_gemma":[0.99816626,0.0011832999,0.000336225,0.000049406957,0.00015769825,0.00010717913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009307199,0.0005779691,0.00048970256,0.001405023,0.00032236273,0.0029636305,0.00054380466,0.0007426869,0.0023473473],"category_scores_gemma":[0.0025071097,0.00037354234,0.0011195083,0.0011970726,0.0005134866,0.0014203456,0.0007729071,0.0011947459,0.00025223914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006372123,0.00045580306,0.51591593,0.0002675246,0.00110585,0.0045352364,0.0012131546,0.40428054,0.005450153,0.02953098,0.0024705,0.034137275],"study_design_scores_gemma":[0.000016939686,0.000114034214,0.06796865,0.000028485589,0.00017482918,0.00020773146,0.0004011718,0.92529696,0.00046654695,0.0043782704,0.00088981487,0.00005650543],"about_ca_topic_score_codex":0.015927544,"about_ca_topic_score_gemma":0.005481642,"teacher_disagreement_score":0.015927544,"about_ca_system_score_codex":0.0006118795,"about_ca_system_score_gemma":0.000796383,"threshold_uncertainty_score":0.031669676},"labels":[],"label_agreement":null},{"id":"W4416533208","doi":"10.2139/ssrn.5768164","title":"Competition and Privacy in Off-Market Trading","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada); University of British Columbia","funders":"","keywords":"Economic rent; Competition (biology); Equity (law); Information asymmetry; Market competition; Retail trade","score_opus":0.017772886539071487,"score_gpt":0.22223810169610714,"score_spread":0.20446521515703564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416533208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7462447,0.0047297142,0.1803242,0.016434504,0.00024202318,0.00009529034,0.0005561895,0.00024537166,0.05112797],"genre_scores_gemma":[0.99269605,0.00050022843,0.0015615838,0.00016287081,0.00013314647,0.000012363782,0.00004567853,0.00002252719,0.004865597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99705195,0.0015968566,0.00015494005,0.0004223875,0.00031820388,0.0004556185],"domain_scores_gemma":[0.9217965,0.06845429,0.004671138,0.0022883962,0.0010402937,0.0017493146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005733782,0.0004794023,0.0019649896,0.000899626,0.0010976132,0.0064971033,0.0012096415,0.0039749136,0.011478159],"category_scores_gemma":[0.043638337,0.00075286196,0.0011075167,0.00096911145,0.0048093963,0.0110167395,0.002262809,0.0038397503,0.0005317382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066371687,0.00029626887,0.008409678,0.00021586852,0.00011067561,0.0008014357,0.00045772246,0.05790543,0.0011902637,0.90934473,0.003372629,0.01723157],"study_design_scores_gemma":[0.00007741757,0.00008078741,0.0018907627,0.000020095082,0.000025210384,0.00016465376,0.00015587751,0.12951909,0.00031987007,0.8670069,0.0007074953,0.00003180221],"about_ca_topic_score_codex":0.0021767365,"about_ca_topic_score_gemma":0.0013934785,"teacher_disagreement_score":0.011478159,"about_ca_system_score_codex":0.0016908273,"about_ca_system_score_gemma":0.0015144619,"threshold_uncertainty_score":0.038398266},"labels":[],"label_agreement":null},{"id":"W4416537582","doi":"10.2139/ssrn.5769103","title":"The Elusive CAPM: Idiosyncratic News and the Tilt of the Security Market Line","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Capital asset pricing model; Systematic risk; Security market line; Aggregate (composite); Asset (computer security); Consumption-based capital asset pricing model; Tilt (camera)","score_opus":0.007917978851614282,"score_gpt":0.2048753281679481,"score_spread":0.19695734931633382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416537582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58302015,0.007556959,0.074288815,0.12174139,0.0019671393,0.00003551224,0.0010727711,0.0006928135,0.20962445],"genre_scores_gemma":[0.99231976,0.0008040867,0.001091138,0.0009071318,0.00093763764,0.00000670092,0.000056364614,0.00006461865,0.0038125517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993974,0.00018292088,0.000025416048,0.00012334695,0.00018829305,0.00008273134],"domain_scores_gemma":[0.9922516,0.004051344,0.00183177,0.0006656177,0.0006051035,0.0005945633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017353055,0.0002627198,0.0005806468,0.0012915634,0.000858996,0.008784716,0.0006360021,0.0026834053,0.01116152],"category_scores_gemma":[0.028698204,0.00037469665,0.0002360451,0.0013378679,0.0026491827,0.009549111,0.0015199886,0.00367453,0.0012950568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001968,0.000028606786,0.006534927,0.00006924695,0.000028933116,0.00039584487,0.0009239356,0.0046633543,0.0010638726,0.9261108,0.020267209,0.0397164],"study_design_scores_gemma":[0.00002940351,0.000036050747,0.0070733577,0.000049647137,0.000015948373,0.00016910471,0.00049859326,0.018549576,0.0003260606,0.96525973,0.007957125,0.00003541525],"about_ca_topic_score_codex":0.0011243663,"about_ca_topic_score_gemma":0.00061757694,"teacher_disagreement_score":0.01116152,"about_ca_system_score_codex":0.0009796385,"about_ca_system_score_gemma":0.00044690244,"threshold_uncertainty_score":0.037338972},"labels":[],"label_agreement":null},{"id":"W4416548748","doi":"10.2139/ssrn.5762483","title":"Monetary Policy and Anomalies","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Monetary policy; Interest rate; Portfolio; Stock (firearms); Anomaly (physics); Valuation (finance)","score_opus":0.012869411592668986,"score_gpt":0.22202539152631928,"score_spread":0.2091559799336503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416548748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7933387,0.019918699,0.019918025,0.056218363,0.0036151456,0.000015153468,0.003418158,0.0009025758,0.10265522],"genre_scores_gemma":[0.9899831,0.0025073763,0.00043275265,0.00027914284,0.0010285416,0.0000039390948,0.0003222642,0.00007922681,0.005363623],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99961746,0.00010876509,0.000028632687,0.00010618407,0.000088258326,0.00005063635],"domain_scores_gemma":[0.99632084,0.0016814204,0.0011356359,0.00032774196,0.00034580912,0.0001884129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010945846,0.00027495596,0.00048801178,0.0016209155,0.00037576086,0.0031167888,0.00027569517,0.0013236753,0.0092238225],"category_scores_gemma":[0.01440472,0.00019446108,0.00020952639,0.002466163,0.0006541814,0.002430144,0.0007141155,0.0017046641,0.0013542649],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009818008,0.00013796228,0.07936693,0.00024734603,0.00029830608,0.00085145986,0.0006182466,0.019633222,0.0024781367,0.65180534,0.06088538,0.18269593],"study_design_scores_gemma":[0.000060839604,0.000100069155,0.07570286,0.00013033692,0.00013427049,0.00067649473,0.00041493613,0.03444502,0.0010480444,0.8504967,0.036746647,0.000043774842],"about_ca_topic_score_codex":0.00080005924,"about_ca_topic_score_gemma":0.00042469468,"teacher_disagreement_score":0.0092238225,"about_ca_system_score_codex":0.0006991226,"about_ca_system_score_gemma":0.00032497666,"threshold_uncertainty_score":0.030856729},"labels":[],"label_agreement":null},{"id":"W4416557263","doi":"10.2139/ssrn.5774282","title":"&lt;p&gt;A Preferred-Habitat Model of Term Structure with Dealer Market Power&lt;/p&gt;","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Yield curve; Treasury; Bond; Market power; Bond market; Carry (investment); Interest rate; Monetary policy; Yield (engineering)","score_opus":0.012130280355377367,"score_gpt":0.20489961247732097,"score_spread":0.1927693321219436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416557263","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1942451,0.0026964156,0.7033656,0.021172626,0.00060398976,0.00014288476,0.0032708445,0.0011847975,0.073317714],"genre_scores_gemma":[0.8632233,0.001491252,0.02901111,0.0010292126,0.00050863426,0.00017481712,0.0009328826,0.0004767605,0.10315199],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999616,0.00015866036,0.000012083701,0.0000707081,0.000042259202,0.00010022963],"domain_scores_gemma":[0.997783,0.0011017912,0.0003418418,0.00014968897,0.00018827632,0.00043537284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013277732,0.0008542382,0.001803212,0.0013269667,0.0012761774,0.0037863802,0.0034006224,0.004908488,0.02786009],"category_scores_gemma":[0.0065038474,0.0012002313,0.0017902572,0.0021269002,0.0021974538,0.007076459,0.0016614643,0.003262634,0.0022547054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000917318,0.000065303546,0.0013283888,0.00008240668,0.00006664014,0.00033237936,0.00015752307,0.22454678,0.0003387795,0.74899465,0.015098691,0.008896707],"study_design_scores_gemma":[0.000059524642,0.000026368396,0.00036068834,0.000010325815,0.000020782552,0.000060941293,0.00005788787,0.6155361,0.000061307364,0.38161954,0.0021629902,0.000023604402],"about_ca_topic_score_codex":0.018013742,"about_ca_topic_score_gemma":0.012576165,"teacher_disagreement_score":0.02786009,"about_ca_system_score_codex":0.0023894156,"about_ca_system_score_gemma":0.0012239115,"threshold_uncertainty_score":0.09320122},"labels":[],"label_agreement":null},{"id":"W4416589896","doi":"10.2139/ssrn.5760891","title":"Beyond Creation and Redemption: Principal Trading by Bond ETFs","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bond; Principal (computer security); Equity (law); Portfolio; Corporate bond; Fixed income; Trading strategy","score_opus":0.015386254355771607,"score_gpt":0.23039094603731833,"score_spread":0.21500469168154673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416589896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80276173,0.0041841636,0.11007289,0.0041859676,0.00026608806,0.00004063436,0.00019709824,0.00024263341,0.07804878],"genre_scores_gemma":[0.98614097,0.00056737603,0.003187819,0.00005227155,0.00011473367,0.0000054834964,0.000037521244,0.000033407876,0.00986051],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99948823,0.00018134447,0.00002826966,0.0001150903,0.000093898765,0.00009315205],"domain_scores_gemma":[0.9957194,0.002085072,0.0006704063,0.0006823227,0.00030290103,0.00053985714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014144025,0.0003664872,0.00081938267,0.0005934007,0.0008571314,0.0041715773,0.0009501993,0.0018314562,0.010835419],"category_scores_gemma":[0.010944867,0.0003850486,0.00046258306,0.0006485055,0.0012259416,0.007983466,0.0011205955,0.0022687519,0.0008008849],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063185923,0.0002187476,0.009793243,0.000108246306,0.00006344148,0.00056837243,0.0005357899,0.023971377,0.0030003323,0.8965698,0.0043417816,0.060196944],"study_design_scores_gemma":[0.00006295007,0.000071823255,0.0039938795,0.00003731789,0.000032237138,0.00032837174,0.0002040742,0.13372844,0.0013105248,0.8564486,0.0037446897,0.00003716538],"about_ca_topic_score_codex":0.0011392935,"about_ca_topic_score_gemma":0.00078329735,"teacher_disagreement_score":0.010835419,"about_ca_system_score_codex":0.0004719763,"about_ca_system_score_gemma":0.00047176244,"threshold_uncertainty_score":0.03624803},"labels":[],"label_agreement":null},{"id":"W4416592915","doi":"10.3390/jrfm18120660","title":"News vs. Social Media: Sentiment Impact on Stock Performance of Big Tech Companies","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Eastern Illinois University","keywords":"Sentiment analysis; Social media; Big data; Stock (firearms); Stock market; Stock trading; Volatility (finance); Financial market","score_opus":0.016480664296149045,"score_gpt":0.22240367498174898,"score_spread":0.20592301068559993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416592915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969796,0.00013722308,0.000047742393,0.00023766072,0.000018322424,0.000003769992,0.00047428065,0.00000507304,0.0020964327],"genre_scores_gemma":[0.9988281,0.00009297846,0.000032832344,0.00004074615,0.00006728041,0.0000029908035,0.00044442166,0.0000039472056,0.0004867019],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997212,0.00007625595,0.000025116151,0.00003865248,0.000077713325,0.000061001552],"domain_scores_gemma":[0.99441105,0.0024591212,0.0018787095,0.00011533894,0.00060408673,0.00053169165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065760943,0.00020994474,0.0001620815,0.0009823401,0.00024304508,0.0014223041,0.000117974865,0.00036287276,0.0021725355],"category_scores_gemma":[0.005509666,0.00007003955,0.00022377749,0.00088289194,0.0002219831,0.00092719326,0.00051590655,0.0004589365,0.00060057733],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043562573,0.00015403492,0.98137915,0.000044191544,0.00010921814,0.000118938624,0.00056654686,0.0004441579,0.001397655,0.00025218527,0.0015648731,0.013533443],"study_design_scores_gemma":[0.0000051081756,0.000094194846,0.995738,0.000016068614,0.00003835647,0.000031093372,0.0009554699,0.0018002338,0.0004062951,0.00014743401,0.00075952476,0.000008200631],"about_ca_topic_score_codex":0.004066656,"about_ca_topic_score_gemma":0.005710844,"teacher_disagreement_score":0.004066656,"about_ca_system_score_codex":0.00025628874,"about_ca_system_score_gemma":0.00014946255,"threshold_uncertainty_score":0.008085966},"labels":[],"label_agreement":null},{"id":"W4416597839","doi":"10.1111/iere.70040","title":"Search and Inventory in Over‐the‐Counter Markets","year":2025,"lang":"en","type":"article","venue":"International Economic Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Counterfactual thinking; Transaction cost; Centrality; Principal (computer security); Core (optical fiber); Database transaction; Market power","score_opus":0.030627975743493217,"score_gpt":0.27618413562472566,"score_spread":0.24555615988123244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416597839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99349976,0.00032227044,0.0025345127,0.0001364765,0.0000033419801,0.0000049578093,0.000026259422,0.000009218785,0.0034632983],"genre_scores_gemma":[0.99919873,0.000066489025,0.000117835116,0.0000061714572,0.000006490073,0.0000012613176,0.0000130037915,0.000001553754,0.0005885396],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997689,0.00007610642,0.000012360616,0.00004192407,0.000046111953,0.000054593587],"domain_scores_gemma":[0.98800373,0.0072748344,0.0034088527,0.00042315305,0.00034110053,0.00054833863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011988806,0.00017047682,0.000541205,0.000853075,0.0002945943,0.0020071303,0.00038370307,0.00053109817,0.008266284],"category_scores_gemma":[0.009573279,0.00017429121,0.00024418297,0.0007769735,0.0008342452,0.0027729205,0.0005856683,0.00047966078,0.00029745974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040976373,0.0010117219,0.46132824,0.00031828484,0.00048296843,0.0017747019,0.0017536111,0.16880998,0.018894492,0.26715428,0.0028192708,0.07155489],"study_design_scores_gemma":[0.0003248728,0.0005818988,0.37332737,0.00008454341,0.0003439213,0.00088516576,0.0022866693,0.41665536,0.005964795,0.19586967,0.0035884585,0.00008728852],"about_ca_topic_score_codex":0.0024255349,"about_ca_topic_score_gemma":0.0018704687,"teacher_disagreement_score":0.008266284,"about_ca_system_score_codex":0.0006688483,"about_ca_system_score_gemma":0.00026163846,"threshold_uncertainty_score":0.027653456},"labels":[],"label_agreement":null},{"id":"W4416624454","doi":"10.3390/jrfm18120670","title":"PCA-Based Investor Attention Index and Its Impact on the KSE-100 Excess Returns","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Herding; Excess return; Mutual fund; Index fund; Principal component analysis","score_opus":0.017269180772024387,"score_gpt":0.23153766074370932,"score_spread":0.21426847997168494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416624454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869556,0.0004837244,0.0070930826,0.00026266603,0.00003985706,0.00004376373,0.00045944657,0.0001687568,0.0044931527],"genre_scores_gemma":[0.997468,0.00014995814,0.0012753975,0.000013640315,0.000028288307,0.000011977692,0.00058211474,0.000013880459,0.00045681105],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841416,0.00043955527,0.00010387983,0.0002288485,0.0006067818,0.00020672767],"domain_scores_gemma":[0.9917617,0.004656745,0.0014737522,0.00053243176,0.0011734861,0.0004019575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022493321,0.0007016399,0.0004594513,0.0030255457,0.00035321244,0.0017927259,0.00026551064,0.00037276896,0.0014955172],"category_scores_gemma":[0.01238333,0.00014729111,0.0008309551,0.002612911,0.00048996264,0.00087914953,0.00075378374,0.00083710195,0.00030765508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035591394,0.00028140214,0.8775773,0.00007119087,0.00061639154,0.0004262402,0.0002784398,0.024117302,0.0026864696,0.0022715246,0.0022706452,0.089047045],"study_design_scores_gemma":[0.000008506056,0.00015176307,0.9085727,0.000018430766,0.00016974304,0.00014958427,0.00021677776,0.0869543,0.0015463765,0.0009836184,0.001193512,0.0000348586],"about_ca_topic_score_codex":0.009509869,"about_ca_topic_score_gemma":0.006145322,"teacher_disagreement_score":0.009509869,"about_ca_system_score_codex":0.00068748154,"about_ca_system_score_gemma":0.0008720816,"threshold_uncertainty_score":0.018909037},"labels":[],"label_agreement":null},{"id":"W4416721945","doi":"10.3390/jrfm18120673","title":"Unpacking Alpha in Innovation-Driven ETFs: A Comparative Study of Artificial Intelligence and Blockchain Funds","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Diversification (marketing strategy); Portfolio; Efficient frontier; Swap (finance); Unpacking; LEAPS; Downside risk","score_opus":0.047454553329416636,"score_gpt":0.2692144956493556,"score_spread":0.22175994231993898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416721945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845746,0.0009935081,0.0055451626,0.00029174786,0.000011133014,0.000023248402,0.0001027628,0.0000283446,0.008429478],"genre_scores_gemma":[0.9983901,0.00023401972,0.00083763537,0.00001336227,0.000010470198,0.000004785338,0.00006365403,0.00000396168,0.00044203197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988883,0.00035160864,0.000071243536,0.000119118675,0.00042344318,0.00014629465],"domain_scores_gemma":[0.9917972,0.0046776785,0.0018403458,0.0004431874,0.00083867554,0.00040273357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037127114,0.00033675996,0.00037235467,0.0021475386,0.00025379536,0.0025951664,0.00034612208,0.0005079178,0.0011966742],"category_scores_gemma":[0.0133277625,0.000081276754,0.00027734524,0.0020997468,0.00076048,0.0034079754,0.0011709823,0.00050217105,0.00018635187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001178276,0.00038401785,0.4055591,0.0002961647,0.0003760243,0.0007331965,0.001033622,0.24420549,0.004000762,0.07539306,0.0014042517,0.26543605],"study_design_scores_gemma":[0.00008282467,0.0016625852,0.276146,0.0002503618,0.00021834404,0.0006769007,0.0016136672,0.6107098,0.008029779,0.0869882,0.01351227,0.000109261135],"about_ca_topic_score_codex":0.0016254336,"about_ca_topic_score_gemma":0.0012167797,"teacher_disagreement_score":0.0037127114,"about_ca_system_score_codex":0.0010866295,"about_ca_system_score_gemma":0.0006229972,"threshold_uncertainty_score":0.019634962},"labels":[],"label_agreement":null},{"id":"W4416998913","doi":"10.1016/j.finmar.2025.101033","title":"AI availability and U.S. corporate bond markets","year":2025,"lang":"en","type":"article","venue":"Journal of Financial Markets","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Corporate bond; Bond; Market liquidity; Arbitrage; Construct (python library); Bond market","score_opus":0.020830580449450024,"score_gpt":0.21918644460944894,"score_spread":0.19835586415999892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416998913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8530401,0.01010113,0.004872714,0.016084205,0.00024848265,0.00002874786,0.004736398,0.000223859,0.11066424],"genre_scores_gemma":[0.9961753,0.00071822456,0.0001430795,0.00019661334,0.000059711452,0.0000031612728,0.00035122593,0.000011101774,0.0023416223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995808,0.000134831,0.000031442698,0.000051817024,0.00011956239,0.00008161272],"domain_scores_gemma":[0.9856878,0.007484523,0.0036500439,0.00034564247,0.00200361,0.00082843116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013391128,0.00013343566,0.00025676176,0.0012202302,0.00043043215,0.002578807,0.00046283496,0.0007310142,0.015691899],"category_scores_gemma":[0.014261153,0.00013667044,0.0001544526,0.0015111006,0.00055187603,0.0020459392,0.0006452374,0.001253806,0.0013097696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020246382,0.00061490125,0.36629352,0.0005684236,0.00033394236,0.0014115288,0.0011143824,0.062903546,0.0036328007,0.26235798,0.09697598,0.2017683],"study_design_scores_gemma":[0.0002806582,0.00058421434,0.5095053,0.00043574616,0.00025303228,0.001639678,0.0034153948,0.14611523,0.0027803811,0.27200222,0.06282352,0.00016466992],"about_ca_topic_score_codex":0.0108497385,"about_ca_topic_score_gemma":0.011389632,"teacher_disagreement_score":0.015691899,"about_ca_system_score_codex":0.0010585568,"about_ca_system_score_gemma":0.00051131274,"threshold_uncertainty_score":0.052494645},"labels":[],"label_agreement":null},{"id":"W4417119089","doi":"10.3905/joi.2025.1.376","title":"Determinants of Portfolio Performance After Taxes","year":2025,"lang":"en","type":"article","venue":"The Journal of Investing","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Portfolio; Asset allocation; Asset (computer security); Selection (genetic algorithm); Capital asset pricing model; Basis risk; Alternative asset; Outcome (game theory)","score_opus":0.024923625710093295,"score_gpt":0.22528020399091664,"score_spread":0.20035657828082334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417119089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915074,0.000266892,0.0017390014,0.0004632461,0.000010167402,0.000013121469,0.0001427358,0.000032330372,0.0058250614],"genre_scores_gemma":[0.9988795,0.000087226224,0.000112502115,0.0000119403485,0.000005571609,0.000002084519,0.00006901321,0.0000043617233,0.00082783075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959236,0.000120784905,0.00003815381,0.00005305838,0.000077074284,0.0001186271],"domain_scores_gemma":[0.99231815,0.003564079,0.002334119,0.000513419,0.0005668297,0.0007033559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015876611,0.00022348197,0.00028589222,0.00060125225,0.00021291558,0.0022363714,0.00024108404,0.00072104996,0.0044228947],"category_scores_gemma":[0.015323872,0.00011443164,0.00022091178,0.0007487172,0.00032178484,0.0010293978,0.00048689867,0.0008624064,0.0011966719],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035673828,0.00028875496,0.861072,0.000028458246,0.00018633914,0.0004848583,0.0002065795,0.062666245,0.0017694494,0.01707341,0.0019636666,0.053903494],"study_design_scores_gemma":[0.000026741873,0.00038699384,0.8463828,0.00004827457,0.000081079415,0.0004807658,0.00041916606,0.11575833,0.002423749,0.030821376,0.0031338655,0.000036881724],"about_ca_topic_score_codex":0.0017082634,"about_ca_topic_score_gemma":0.0011815255,"teacher_disagreement_score":0.0044228947,"about_ca_system_score_codex":0.00073344045,"about_ca_system_score_gemma":0.00035283834,"threshold_uncertainty_score":0.014796078},"labels":[],"label_agreement":null},{"id":"W4417166171","doi":"10.1287/mnsc.2024.05913","title":"Dynamic Portfolio Choice with Intertemporal Hedging and Transaction Costs","year":2025,"lang":"en","type":"article","venue":"Management Science","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Portfolio; Transaction cost; Portfolio optimization; Replicating portfolio; Trading strategy; Price discovery; Merton's portfolio problem; Capital asset pricing model; Algorithmic trading; Proxy (statistics)","score_opus":0.010592559143123906,"score_gpt":0.22123871321178792,"score_spread":0.21064615406866402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417166171","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2812244,0.0023487946,0.6741239,0.006240643,0.00021942094,0.00020558917,0.0019735158,0.0003249174,0.033338822],"genre_scores_gemma":[0.9435686,0.0008793385,0.035257157,0.00023174257,0.00009818242,0.00017594906,0.0006097248,0.000070887494,0.019108422],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854636,0.00066184456,0.00007177376,0.0003719813,0.0001613384,0.00018678761],"domain_scores_gemma":[0.9950133,0.0033627169,0.0006853645,0.00034903688,0.00019332957,0.00039619542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028467067,0.0010694589,0.0019243247,0.000649841,0.000494039,0.0043357015,0.0019770155,0.0030302065,0.013702747],"category_scores_gemma":[0.0135148205,0.0010491636,0.0010410164,0.0012056982,0.0011573259,0.0047271396,0.0016080973,0.0030146984,0.00069298275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022381757,0.00013427991,0.005453817,0.00012017916,0.00014885986,0.00064025325,0.0001354374,0.4074076,0.00076219044,0.5592594,0.0032608104,0.022453291],"study_design_scores_gemma":[0.00008792048,0.000060013364,0.0015467168,0.000026672657,0.00003605501,0.00011054845,0.000046635607,0.6783475,0.00015572475,0.31782213,0.0017167034,0.0000433587],"about_ca_topic_score_codex":0.0036394638,"about_ca_topic_score_gemma":0.0030335952,"teacher_disagreement_score":0.013702747,"about_ca_system_score_codex":0.0017978582,"about_ca_system_score_gemma":0.0011888524,"threshold_uncertainty_score":0.045840263},"labels":[],"label_agreement":null},{"id":"W4417273188","doi":"10.2139/ssrn.5825343","title":"Measuring Price Effects of Multilingual Global News with Large Language Models","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Royal Bank of Canada","funders":"","keywords":"Sentence; Aggregate (composite); Predictive power; Affect (linguistics); Language model; Financial market; Process (computing)","score_opus":0.015358531096522542,"score_gpt":0.2257793080319184,"score_spread":0.21042077693539585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417273188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98091584,0.00034377255,0.013743173,0.0004132484,0.000050657974,0.000021929016,0.0010405256,0.00024691186,0.0032239638],"genre_scores_gemma":[0.9957094,0.0001265326,0.0024169409,0.000044467426,0.000056283112,0.000012060422,0.0010639669,0.000064698,0.0005056166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986473,0.0007527426,0.000060594117,0.0002535294,0.00016051442,0.00012542839],"domain_scores_gemma":[0.98431814,0.012864804,0.0010743586,0.00075032184,0.00054932374,0.000443095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025237484,0.00082236604,0.0007474369,0.001315188,0.00046468875,0.0025758825,0.0006696539,0.0010703559,0.0034085554],"category_scores_gemma":[0.015663156,0.00059918454,0.0009108029,0.0017058224,0.0006522357,0.0032318807,0.001278336,0.0013858944,0.00090770365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006115934,0.0020345524,0.2037817,0.00050654256,0.0023949614,0.001171286,0.00092658424,0.65276253,0.02262233,0.017466787,0.0059361733,0.084280595],"study_design_scores_gemma":[0.00018015779,0.00037982996,0.048681032,0.000020073907,0.00044295934,0.00012188471,0.0004008217,0.93364966,0.0063670487,0.0086063845,0.0010718047,0.00007832391],"about_ca_topic_score_codex":0.010192516,"about_ca_topic_score_gemma":0.010465406,"teacher_disagreement_score":0.010192516,"about_ca_system_score_codex":0.0009724192,"about_ca_system_score_gemma":0.0005245868,"threshold_uncertainty_score":0.020266354},"labels":[],"label_agreement":null},{"id":"W4417315393","doi":"10.33423/jabe.v27i6.7991","title":"In the Spotlight: How Media Coverage Influences Investors’ Exits","year":2025,"lang":"","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Private equity; Venture capital; Media coverage; Equity crowdfunding; Equity (law); Capital (architecture)","score_opus":0.020830597600277268,"score_gpt":0.20037487257827458,"score_spread":0.1795442749779973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417315393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921078,0.00070270506,0.00011663337,0.001008554,0.000045332672,0.0000068996865,0.00078440533,0.000011723169,0.0052158814],"genre_scores_gemma":[0.99733233,0.00030476364,0.000044364864,0.0001900312,0.00010793238,0.0000040326286,0.0005181154,0.000008197874,0.0014901794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993807,0.00019792528,0.000050304272,0.00008907683,0.00012381712,0.00015815157],"domain_scores_gemma":[0.9786849,0.008883928,0.008917343,0.0004401875,0.001362121,0.0017115338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012244816,0.00022131023,0.0003182686,0.0014579224,0.00038355036,0.0030384476,0.00024960612,0.00067265215,0.005508459],"category_scores_gemma":[0.012269085,0.000116631614,0.00025572345,0.0013105533,0.00040459272,0.0019391775,0.0008753593,0.000841456,0.0012494845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027154532,0.00007932668,0.98396283,0.000040645948,0.00010932756,0.00020721079,0.0008459681,0.00015481263,0.00031473293,0.00032637594,0.0022242223,0.011463087],"study_design_scores_gemma":[0.000016104577,0.000112124035,0.99029666,0.0000641145,0.00011908119,0.00018646671,0.00396099,0.0007100691,0.0005274064,0.00031847908,0.0036706761,0.000017714918],"about_ca_topic_score_codex":0.0046876254,"about_ca_topic_score_gemma":0.0052441773,"teacher_disagreement_score":0.005508459,"about_ca_system_score_codex":0.00025630978,"about_ca_system_score_gemma":0.00021230012,"threshold_uncertainty_score":0.01842761},"labels":[],"label_agreement":null},{"id":"W4417397462","doi":"10.1016/j.jmoneco.2025.103881","title":"Expectation-driven term structure of equity and bond yields","year":2025,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Dividend; Predictability; Equity (law); Bond; Dividend payout ratio; Dividend yield; Maturity (psychological); Yield curve","score_opus":0.02134021768716606,"score_gpt":0.22788477679932323,"score_spread":0.20654455911215716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417397462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9307808,0.0004800082,0.06259287,0.0012159806,0.00006703893,0.00002378919,0.0005067889,0.00015900236,0.0041737896],"genre_scores_gemma":[0.9962549,0.00015577975,0.0014882076,0.000046347384,0.000038255796,0.0000073558444,0.0002471131,0.00003774338,0.0017242482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995357,0.00017017256,0.000022806125,0.00011788013,0.00008033048,0.000073267045],"domain_scores_gemma":[0.9876611,0.0086198365,0.0014926846,0.0005943428,0.0010387774,0.0005931357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003708054,0.00040264122,0.00069278525,0.0007718219,0.00030264547,0.0013998816,0.0012589967,0.0015580173,0.0034543655],"category_scores_gemma":[0.027948426,0.00078313646,0.0006167135,0.0005397157,0.0008017256,0.0029929813,0.0007301783,0.0015410923,0.00050707365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051005854,0.00021953371,0.049304593,0.00013093291,0.00020491892,0.0008781982,0.0003429292,0.69819576,0.009169455,0.22243768,0.0035205318,0.015085402],"study_design_scores_gemma":[0.00001908945,0.000039092654,0.01606529,0.000010606312,0.000018735693,0.000111330206,0.0000328361,0.93783075,0.000618497,0.04503297,0.00018688822,0.00003393754],"about_ca_topic_score_codex":0.0030655,"about_ca_topic_score_gemma":0.0030817885,"teacher_disagreement_score":0.003708054,"about_ca_system_score_codex":0.0008767236,"about_ca_system_score_gemma":0.0006292753,"threshold_uncertainty_score":0.019610286},"labels":[],"label_agreement":null},{"id":"W4417447560","doi":"10.5539/ijef.v18n1p9","title":"Wealth, Rationality, and Morality","year":2025,"lang":"","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Morality; Diversification (marketing strategy); Mainstream; Profit (economics); Volatility (finance); Rate of return","score_opus":0.027214103384664696,"score_gpt":0.25552615881066304,"score_spread":0.22831205542599833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417447560","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23010226,0.017174399,0.043634158,0.06379191,0.0005575825,0.00008175405,0.00024321834,0.00007363097,0.64434105],"genre_scores_gemma":[0.985891,0.0020657424,0.00278796,0.0013683842,0.00017549007,0.000030009758,0.000034387856,0.000012584212,0.0076346006],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970988,0.0015675953,0.000115317634,0.00033092932,0.0005263195,0.00036109524],"domain_scores_gemma":[0.99372673,0.0033958894,0.00087136216,0.00068252935,0.0007006691,0.0006227434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049943468,0.00023031209,0.00037560918,0.00083012535,0.0013622703,0.0048820567,0.00066041446,0.0014405058,0.004074826],"category_scores_gemma":[0.009818686,0.00017279516,0.00021890394,0.0004697525,0.018941974,0.0033982461,0.002237175,0.0019051913,0.00044845106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016729247,0.000016654461,0.0018105907,0.000037609625,0.000013457272,0.000049633163,0.0011428503,0.0007102445,0.000078383695,0.98311645,0.0019545858,0.011052778],"study_design_scores_gemma":[0.000008472226,0.000009000251,0.0014713259,0.00004909293,0.0000035375203,0.000039828163,0.00048783646,0.0005270292,0.000051448897,0.9884377,0.008905041,0.000009715418],"about_ca_topic_score_codex":0.0027067002,"about_ca_topic_score_gemma":0.001174457,"teacher_disagreement_score":0.0049943468,"about_ca_system_score_codex":0.0016091664,"about_ca_system_score_gemma":0.0014657784,"threshold_uncertainty_score":0.026412964},"labels":[],"label_agreement":null},{"id":"W54207589","doi":"10.2139/ssrn.1314893","title":"High Water Marks in Competitive Capital Markets","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Capital (architecture); Monetary economics; Economics; Natural resource economics; Geography","score_opus":0.009864685635941922,"score_gpt":0.17931857503392498,"score_spread":0.16945388939798306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W54207589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8158026,0.0014883953,0.026083963,0.009240066,0.00021295942,0.0000686285,0.0002812856,0.00020707931,0.14661512],"genre_scores_gemma":[0.9928163,0.0001388818,0.00039292243,0.00007728219,0.00006409381,0.0000062510667,0.000021069383,0.000008805376,0.006474287],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995239,0.00010141877,0.00002171759,0.00007839906,0.00011477686,0.00015987568],"domain_scores_gemma":[0.9962291,0.0014031412,0.0009825195,0.00023628472,0.00037172096,0.0007772458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064884,0.00015972312,0.0005430994,0.000906526,0.0014268633,0.004257812,0.0006099272,0.001811334,0.020816738],"category_scores_gemma":[0.00967923,0.00021559105,0.00022428096,0.000928814,0.002644218,0.0059442865,0.0014469594,0.0013693079,0.0010273277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017761343,0.00008236728,0.008053902,0.000067075016,0.000018192697,0.0005185148,0.00064838096,0.003271363,0.00061699393,0.9533039,0.009167137,0.024074508],"study_design_scores_gemma":[0.000042831423,0.000065723,0.0055802036,0.000017125929,0.000012217086,0.0001573787,0.0008744766,0.009003217,0.00041506215,0.9784783,0.0053311666,0.000022331627],"about_ca_topic_score_codex":0.0030634895,"about_ca_topic_score_gemma":0.0033752278,"teacher_disagreement_score":0.020816738,"about_ca_system_score_codex":0.0010167011,"about_ca_system_score_gemma":0.000794969,"threshold_uncertainty_score":0.06963897},"labels":[],"label_agreement":null},{"id":"W561251396","doi":"10.1016/j.jbankfin.2015.12.006","title":"Does the buck stop here? A comparison of withdrawals from money market mutual funds with floating and constant share prices","year":2016,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Closed-end fund; Net asset value; Mutual fund; Open-end fund; Monetary economics; Economics; Money market; Constant (computer programming); Business; Finance; Institutional investor; Interest rate; Market liquidity","score_opus":0.02175767159690771,"score_gpt":0.22374973557769187,"score_spread":0.20199206398078418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W561251396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890349,0.00087919936,0.00024616544,0.0021403783,0.000047441234,0.00003534296,0.00011292298,0.0000152371595,0.007488473],"genre_scores_gemma":[0.9978593,0.00018315564,0.000048775473,0.00023881576,0.000045471897,0.000007929973,0.000108923494,0.000006598211,0.0015011145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99733764,0.0011410776,0.00016772428,0.00012557046,0.0006045792,0.0006233353],"domain_scores_gemma":[0.9794475,0.012844729,0.004113362,0.0005768025,0.001501527,0.0015161856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005858694,0.00026265043,0.00088747306,0.0010089461,0.0008060644,0.0028120966,0.0010689298,0.001508703,0.009100018],"category_scores_gemma":[0.038978677,0.0002502483,0.0011332424,0.0009416187,0.0013408598,0.0029244535,0.0016956062,0.002452923,0.000913106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.06654889,0.0030142297,0.5979987,0.0014992984,0.0022190297,0.0031953629,0.010268343,0.009859415,0.0074422588,0.090953834,0.01987179,0.1871288],"study_design_scores_gemma":[0.0032140422,0.0053816126,0.9274022,0.00025274107,0.0011189079,0.0005511703,0.013798582,0.0082515925,0.0018217056,0.026874384,0.011205017,0.0001280839],"about_ca_topic_score_codex":0.010609499,"about_ca_topic_score_gemma":0.014221323,"teacher_disagreement_score":0.010609499,"about_ca_system_score_codex":0.0015842566,"about_ca_system_score_gemma":0.0013840167,"threshold_uncertainty_score":0.030984104},"labels":[],"label_agreement":null},{"id":"W57209740","doi":"10.2139/ssrn.1507962","title":"Meeting Analyst Forecasts and Stock Returns","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Stock (firearms); Business; Financial economics; Economics; Econometrics; Geography","score_opus":0.013816048418909141,"score_gpt":0.20671631742323004,"score_spread":0.1929002690043209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W57209740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96226877,0.0013252707,0.0038544151,0.0043460648,0.0003726341,0.000016153086,0.0025193305,0.0002269276,0.025070513],"genre_scores_gemma":[0.99596715,0.00025452513,0.00035145844,0.00007828818,0.00030886312,0.0000036460185,0.00079716305,0.000016811879,0.0022221927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994336,0.00016354068,0.000043256754,0.0000787024,0.00022529023,0.000055636076],"domain_scores_gemma":[0.9820779,0.009288961,0.0053621107,0.0004344538,0.002139565,0.0006968651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014222187,0.00027769135,0.00025570736,0.0013597413,0.00022060236,0.0017132547,0.0002738608,0.0011671187,0.008541285],"category_scores_gemma":[0.03752304,0.00015743356,0.00020315753,0.00068651285,0.00009896022,0.0014599285,0.00033829617,0.000715349,0.0025876088],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015550725,0.00022502706,0.8144192,0.00009399625,0.00027549392,0.00060363766,0.00064455013,0.02021986,0.003561342,0.007486362,0.041060653,0.1098549],"study_design_scores_gemma":[0.0001094488,0.00039193704,0.8502271,0.00007053941,0.00019746117,0.000675483,0.0007761741,0.10992068,0.002517823,0.020577664,0.014444591,0.00009095804],"about_ca_topic_score_codex":0.0028648884,"about_ca_topic_score_gemma":0.0030375305,"teacher_disagreement_score":0.008541285,"about_ca_system_score_codex":0.00033230253,"about_ca_system_score_gemma":0.00023999922,"threshold_uncertainty_score":0.028573453},"labels":[],"label_agreement":null},{"id":"W579969077","doi":"10.7202/1036913ar","title":"Bootstrap Tests of Mean-Variance Efficiency with Multiple Portfolio Groupings","year":2016,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval; Bank of Canada","funders":"","keywords":"Variance (accounting); Statistics; Econometrics; Portfolio; Null hypothesis; Residual; Covariance matrix; Mathematics; Series (stratigraphy); Statistical hypothesis testing; Analysis of covariance; Economics; Algorithm; Financial economics; Accounting","score_opus":0.043645446421828174,"score_gpt":0.21753278951488017,"score_spread":0.17388734309305198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W579969077","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10024727,0.00020543463,0.8965041,0.00014428761,0.000051780175,0.00016129424,0.00013829712,0.0003558983,0.0021916004],"genre_scores_gemma":[0.74264234,0.00010092009,0.25520363,0.000121565805,0.00009579448,0.00054384314,0.00046993222,0.00012653014,0.0006955147],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9677467,0.021650502,0.0014185016,0.0027794838,0.005351927,0.0010528222],"domain_scores_gemma":[0.87935656,0.09250278,0.0068449024,0.015851263,0.0042145173,0.0012299252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027927209,0.0008620404,0.0022166956,0.0032547598,0.0007521761,0.0018268557,0.002469076,0.0016834891,0.0027116514],"category_scores_gemma":[0.14393508,0.0006028828,0.001837422,0.0026753065,0.002491438,0.002640349,0.002993341,0.0018429533,0.0006211794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021943613,0.001092674,0.07984503,0.00038887231,0.0026996615,0.0014234264,0.0011491224,0.22002734,0.013730721,0.23813027,0.0038799234,0.43543854],"study_design_scores_gemma":[0.00030385196,0.0010510737,0.030166915,0.00010084906,0.00020308423,0.00055617356,0.0002935944,0.7172156,0.0085112415,0.2381086,0.0033524423,0.00013659302],"about_ca_topic_score_codex":0.0005114426,"about_ca_topic_score_gemma":0.00041128608,"teacher_disagreement_score":0.027927209,"about_ca_system_score_codex":0.00049011916,"about_ca_system_score_gemma":0.0010141544,"threshold_uncertainty_score":0.14769495},"labels":[],"label_agreement":null},{"id":"W585210000","doi":"10.1016/j.sbspro.2015.03.221","title":"An Empirical Testing of Capital Asset Pricing Model in India","year":2015,"lang":"en","type":"article","venue":"Procedia - Social and Behavioral Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Econometrics; Equity (law); Economics; Regression analysis; Sample (material); Empirical research; Quarter (Canadian coin); Regression; Financial economics; Statistics; Mathematics; Geography","score_opus":0.2487222243787259,"score_gpt":0.3553301445698787,"score_spread":0.10660792019115281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W585210000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926657,0.00015887881,0.003721346,0.00036192272,0.000014390944,0.000018752617,0.00016026212,0.000076106095,0.002822509],"genre_scores_gemma":[0.9989768,0.0000605862,0.00054256414,0.000022721211,0.000007910582,0.0000061116407,0.00014050234,0.0000050000253,0.0002378075],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867475,0.00059852336,0.00007053577,0.00020419623,0.00017538152,0.00027673764],"domain_scores_gemma":[0.991454,0.0059517478,0.0009931842,0.0006381519,0.00069187675,0.00027108885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034034566,0.00036169196,0.00053707184,0.00079770957,0.0003609044,0.0014122799,0.0013996677,0.0006838154,0.001621042],"category_scores_gemma":[0.012493458,0.00019649752,0.00080618775,0.00088880665,0.0007787325,0.0012182222,0.0007267614,0.0011453229,0.00023527912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095611345,0.0010702205,0.55806404,0.00044927353,0.000585545,0.003203329,0.0020251658,0.32062623,0.0033581725,0.047773708,0.007376012,0.05451219],"study_design_scores_gemma":[0.00005445417,0.0005500138,0.16624635,0.000050150604,0.00014522413,0.00055887183,0.0015041862,0.82000417,0.0019187612,0.007297661,0.0016118161,0.000058326044],"about_ca_topic_score_codex":0.022490744,"about_ca_topic_score_gemma":0.00694537,"teacher_disagreement_score":0.022490744,"about_ca_system_score_codex":0.0010036344,"about_ca_system_score_gemma":0.0011160467,"threshold_uncertainty_score":0.044719636},"labels":[],"label_agreement":null},{"id":"W591990124","doi":"10.1142/8467","title":"Calendar Anomalies and Arbitrage","year":2012,"lang":"en","type":"book","venue":"World Scientific series in finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Arbitrage; Financial economics; Futures contract; Equity (law); Risk arbitrage; Stock (firearms); Economics; Business; Arbitrage pricing theory; Geography; Capital asset pricing model; Political science","score_opus":0.026127979587873044,"score_gpt":0.20164046843454544,"score_spread":0.1755124888466724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W591990124","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0107173165,0.13409968,0.054461032,0.016024958,0.007084724,0.00006836841,0.0008866346,0.00068440277,0.77597284],"genre_scores_gemma":[0.32410124,0.08039622,0.017021663,0.0044141635,0.011405136,0.00014094567,0.0010831562,0.00076426344,0.56067324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918216,0.00014942986,0.00005642724,0.00013452159,0.00041006718,0.00006729503],"domain_scores_gemma":[0.99888164,0.0006094558,0.00013701875,0.00017003072,0.00014656989,0.00005523517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097488123,0.00061118096,0.0005153865,0.0011826898,0.00070977386,0.0034162838,0.0006089877,0.0012494631,0.020689806],"category_scores_gemma":[0.006450198,0.00031403173,0.00049022964,0.002006458,0.0015452058,0.0041327234,0.0012877482,0.0024266208,0.003990364],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024852729,0.000010886696,0.0006513142,0.0000722852,0.00001582498,0.00011186209,0.00021840585,0.0018268588,0.00013603538,0.8524658,0.06556993,0.07889595],"study_design_scores_gemma":[0.000008175875,0.00001872662,0.0010282516,0.00009130443,0.000010235342,0.0003137652,0.00007291013,0.0020639289,0.00013179235,0.47429714,0.5219496,0.0000142543695],"about_ca_topic_score_codex":0.0015757183,"about_ca_topic_score_gemma":0.0012187138,"teacher_disagreement_score":0.020689806,"about_ca_system_score_codex":0.0008950074,"about_ca_system_score_gemma":0.00074430095,"threshold_uncertainty_score":0.069214344},"labels":[],"label_agreement":null},{"id":"W59293648","doi":"","title":"Rational Bubbles Exist in the G-7 Stock Markets? Threshold Cointegration Approach","year":2013,"lang":"en","type":"article","venue":"Romanian Journal of Economic Forecasting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Stock (firearms); Dividend; Econometrics; Rational expectations; Financial economics; Stock price; Stock market bubble; Monetary economics; Stock market; Finance; Series (stratigraphy); Geography","score_opus":0.064745665408073,"score_gpt":0.21962354677458568,"score_spread":0.15487788136651268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W59293648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97339094,0.0004591971,0.02309143,0.00030024577,0.0000079240735,0.000013514173,0.00007664986,0.000030053727,0.002630082],"genre_scores_gemma":[0.99899715,0.00008504858,0.0007402515,0.000010055362,0.0000059166628,0.0000042555243,0.000029821282,0.0000017812561,0.00012580148],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980944,0.000041248266,0.00001407683,0.000043014876,0.000031892647,0.000060339615],"domain_scores_gemma":[0.9984983,0.0007368648,0.0004356019,0.00010171785,0.00013839763,0.00008897339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006266324,0.00013140378,0.00039002564,0.0009617744,0.00018887721,0.000793407,0.00025436343,0.00047895516,0.0018724843],"category_scores_gemma":[0.0046488065,0.00012366103,0.00030168155,0.0005712871,0.0005171135,0.0019480758,0.00038057778,0.0004403596,0.00011184233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084228185,0.00019050944,0.44053155,0.00030930844,0.00037479616,0.0034691105,0.0023690998,0.053400364,0.018032044,0.36338195,0.0019539893,0.11514503],"study_design_scores_gemma":[0.00006124446,0.00023103342,0.21148697,0.0000703348,0.00019138007,0.0008309906,0.0016192038,0.5555109,0.0037745312,0.22364691,0.0025005806,0.00007592237],"about_ca_topic_score_codex":0.0023527113,"about_ca_topic_score_gemma":0.0012330466,"teacher_disagreement_score":0.0023527113,"about_ca_system_score_codex":0.00027509886,"about_ca_system_score_gemma":0.00022189847,"threshold_uncertainty_score":0.0062640905},"labels":[],"label_agreement":null},{"id":"W605610292","doi":"","title":"High frequency trading and end-of-day price dislocation : [Version 28 Oktober 2013]","year":2013,"lang":"en","type":"article","venue":"Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"High-frequency trading; Enforcement; Dislocation; Business; Monetary economics; Economics; Econometrics; Physics; Condensed matter physics; Market liquidity; Political science","score_opus":0.013320862150146351,"score_gpt":0.16914241191103108,"score_spread":0.15582154976088472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W605610292","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028644437,0.004118286,0.011971239,0.0085214535,0.013657199,0.00046720688,0.77990824,0.011154549,0.14155743],"genre_scores_gemma":[0.20873678,0.0073435293,0.009078986,0.0018700577,0.0036536586,0.0009901632,0.6024555,0.0036343434,0.16223699],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988175,0.00010354972,0.000088613095,0.00010388375,0.00073281926,0.00015360961],"domain_scores_gemma":[0.9925161,0.003315174,0.0006384499,0.0012400221,0.0021479446,0.00014234499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001507506,0.000874409,0.00088661385,0.0038767532,0.000570976,0.003470242,0.001445371,0.0016525349,0.22857551],"category_scores_gemma":[0.018290896,0.00040548854,0.00085677614,0.004676224,0.00043006832,0.0017236868,0.0012438702,0.0011196967,0.088316195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005559053,0.00013374147,0.0057360195,0.0010355928,0.00012038896,0.00028821538,0.00015668967,0.0036058426,0.0006105006,0.00590666,0.93409723,0.04775319],"study_design_scores_gemma":[0.0004997271,0.00026117204,0.12287857,0.0016741971,0.00018535208,0.0006614165,0.00026650564,0.016039368,0.0028465355,0.013032501,0.8414316,0.00022312274],"about_ca_topic_score_codex":0.026315754,"about_ca_topic_score_gemma":0.025840819,"teacher_disagreement_score":0.22857551,"about_ca_system_score_codex":0.0008615481,"about_ca_system_score_gemma":0.0010922853,"threshold_uncertainty_score":0.76466125},"labels":[],"label_agreement":null},{"id":"W638912236","doi":"10.7202/1039881ar","title":"Ambiguïté, comportements et marchés financiers","year":2017,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Humanities; Philosophy; Political science","score_opus":0.1092744640480491,"score_gpt":0.28134641940308874,"score_spread":0.17207195535503966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W638912236","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6825702,0.050556157,0.17875913,0.016555823,0.00072771305,0.0002349185,0.0013885753,0.00025174828,0.06895578],"genre_scores_gemma":[0.96424407,0.011443392,0.016353648,0.0004881506,0.00035294602,0.0000808911,0.00035683677,0.00007824577,0.0066016987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9940578,0.0019442854,0.00049554784,0.0012159515,0.0019071494,0.00037929625],"domain_scores_gemma":[0.9386254,0.04316477,0.011809145,0.0031143024,0.0021929352,0.0010933783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011232423,0.00083353167,0.0014142038,0.0013982061,0.0010375945,0.008836093,0.0018512732,0.0025696994,0.01277699],"category_scores_gemma":[0.07347402,0.0011745726,0.001009786,0.001914899,0.0044995756,0.008588635,0.0022714809,0.0032520555,0.0011977707],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011430489,0.00023224462,0.11191691,0.0017325092,0.0009899153,0.00090384413,0.004023281,0.04373723,0.0031001645,0.6815106,0.0036757654,0.1470344],"study_design_scores_gemma":[0.00016215285,0.00029722683,0.10455898,0.0010377283,0.000380007,0.0007270875,0.0023719699,0.055871516,0.0033284838,0.7854778,0.045550816,0.00023622166],"about_ca_topic_score_codex":0.006988266,"about_ca_topic_score_gemma":0.0040134047,"teacher_disagreement_score":0.01277699,"about_ca_system_score_codex":0.0026185676,"about_ca_system_score_gemma":0.0016105766,"threshold_uncertainty_score":0.05940342},"labels":[],"label_agreement":null},{"id":"W640503769","doi":"10.1108/sef-10-2016-0257","title":"Informed trading around biotech M&amp;As","year":2018,"lang":"en","type":"article","venue":"Studies in Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Insider; Insider trading; Sample (material); Value (mathematics); Economics; Econometrics; Monetary economics; Business; Finance; Statistics; Mathematics; Law; Chemistry; Political science","score_opus":0.07871014464051787,"score_gpt":0.2806529149178145,"score_spread":0.20194277027729665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W640503769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9696721,0.0008924866,0.01640703,0.00057820504,0.000059741455,0.00014246635,0.0014615806,0.00013497143,0.010651449],"genre_scores_gemma":[0.9959559,0.00021632812,0.0014558244,0.00007197427,0.000049711496,0.000032014777,0.0005546668,0.000008157015,0.0016553008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966384,0.0008587123,0.0003332844,0.0006798521,0.0012495382,0.00024025154],"domain_scores_gemma":[0.90850675,0.03793348,0.04665282,0.003947084,0.0022538847,0.0007059836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062916577,0.0003361739,0.0004922452,0.0007813374,0.0002915362,0.0023336846,0.00069956115,0.00052420323,0.004861266],"category_scores_gemma":[0.045959342,0.00025344835,0.00039646635,0.0009677689,0.0005112996,0.0018652581,0.0010633244,0.0007894442,0.0006703527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008538332,0.0001710544,0.8941179,0.00031254414,0.00041799142,0.0005895692,0.0005311635,0.016941184,0.0016104152,0.008263179,0.0017750707,0.07441615],"study_design_scores_gemma":[0.00006998284,0.00066440244,0.89625776,0.00015798394,0.00036901742,0.0005961484,0.0008374176,0.066913314,0.011392589,0.015334895,0.0073087346,0.00009768361],"about_ca_topic_score_codex":0.0020394828,"about_ca_topic_score_gemma":0.0016791687,"teacher_disagreement_score":0.0062916577,"about_ca_system_score_codex":0.0006630683,"about_ca_system_score_gemma":0.00050297467,"threshold_uncertainty_score":0.033273876},"labels":[],"label_agreement":null},{"id":"W640562493","doi":"","title":"The LSE’s AIM market: effect on returns and trading of Canadian stocks","year":2010,"lang":"en","type":"article","venue":"CentAUR (University of Reading)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Economics; Financial economics","score_opus":0.010560949918533692,"score_gpt":0.16195353101417237,"score_spread":0.1513925810956387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W640562493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98333967,0.00046071602,0.00005311897,0.001671077,0.000059259117,0.000008599661,0.0007376087,0.000054531123,0.013615508],"genre_scores_gemma":[0.9933083,0.00018198123,0.000041996624,0.00014309952,0.000027033931,0.0000021531396,0.00037099377,0.00001794344,0.005906432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995377,0.00004647696,0.000016528275,0.000048611008,0.00017718619,0.00017345298],"domain_scores_gemma":[0.99393207,0.0011556045,0.0007646689,0.00022360781,0.0016257865,0.002298218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010171352,0.00037835937,0.00042691705,0.00073534116,0.001469275,0.003037158,0.0010072346,0.0013024873,0.008622796],"category_scores_gemma":[0.009003586,0.00017223046,0.00050521665,0.000776286,0.00087226194,0.00084096787,0.00078944454,0.0011666969,0.00079232804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.027055409,0.0024720288,0.7389564,0.00029543764,0.0007171994,0.00126749,0.0022140397,0.015638923,0.019211002,0.034546964,0.076047584,0.0815775],"study_design_scores_gemma":[0.00025453113,0.00035457144,0.9811554,0.000023699524,0.00013666818,0.00006608299,0.0013391011,0.0060710055,0.001638651,0.0012201468,0.007671009,0.00006907886],"about_ca_topic_score_codex":0.9220904,"about_ca_topic_score_gemma":0.9337558,"teacher_disagreement_score":0.07790959,"about_ca_system_score_codex":0.0125384955,"about_ca_system_score_gemma":0.011406321,"threshold_uncertainty_score":0.15673679},"labels":[],"label_agreement":null},{"id":"W66108872","doi":"10.2139/ssrn.968229","title":"Sources of Systematic Risk","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Risk analysis (engineering)","score_opus":0.020324969135138645,"score_gpt":0.1924275192703676,"score_spread":0.17210255013522896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W66108872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34883168,0.016773773,0.2670401,0.021770533,0.0009075385,0.00035622143,0.0060149306,0.001376129,0.3369291],"genre_scores_gemma":[0.9567331,0.0038349384,0.0039013058,0.00034048958,0.0005418566,0.00007398574,0.0006485283,0.0001039581,0.033821862],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989177,0.00024952073,0.00007557243,0.0001763454,0.0004765214,0.00010425147],"domain_scores_gemma":[0.9887677,0.0047560045,0.002940932,0.0017039705,0.0015564794,0.0002748851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019055813,0.0005137611,0.00075874233,0.0039458154,0.00047362084,0.0030417787,0.00043786943,0.0016717083,0.017337287],"category_scores_gemma":[0.022197142,0.00037569655,0.00067762,0.0021365413,0.00071532547,0.0022319357,0.0013288719,0.0013558218,0.003067446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017541405,0.00006407546,0.029378373,0.00034508857,0.00040857634,0.00059073797,0.00055681466,0.011808655,0.0012398848,0.8151167,0.025641581,0.11467419],"study_design_scores_gemma":[0.000035111614,0.000058172176,0.01763608,0.00024591316,0.00015387604,0.0006978821,0.00021849952,0.021288978,0.0008899545,0.93941355,0.019317972,0.000044122356],"about_ca_topic_score_codex":0.0007725176,"about_ca_topic_score_gemma":0.0008116915,"teacher_disagreement_score":0.017337287,"about_ca_system_score_codex":0.0008098782,"about_ca_system_score_gemma":0.0008127704,"threshold_uncertainty_score":0.057999015},"labels":[],"label_agreement":null},{"id":"W67448818","doi":"","title":"Settlement Method of Eurodollar Futures and Expiration Day Effects: An Analysis of Intraday Price Volatility","year":2013,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Eurodollar; Libor; Futures contract; Volatility (finance); Economics; Monetary economics; Private information retrieval; Business; Financial economics; Interest rate","score_opus":0.018697154670773698,"score_gpt":0.23854384981175694,"score_spread":0.21984669514098323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W67448818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929743,0.00019853582,0.00555834,0.00006698843,0.0000168452,0.000023263721,0.00022924587,0.00003864055,0.00089388766],"genre_scores_gemma":[0.9982717,0.00006416885,0.0009666919,0.000008343253,0.000019791776,0.000015590176,0.0003551353,0.000011872252,0.00028675562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99659234,0.0018225817,0.00016501534,0.00037773614,0.00086281466,0.0001793977],"domain_scores_gemma":[0.9690363,0.023924924,0.0040816017,0.0016753161,0.0007543684,0.00052754127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058021112,0.00031300826,0.00071081327,0.0013920387,0.00022191982,0.0007832637,0.0005924741,0.000636479,0.0014044157],"category_scores_gemma":[0.019549793,0.00025126847,0.000990969,0.0016058076,0.0003915984,0.0008048858,0.00053172576,0.0010419561,0.0002927157],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030848887,0.00048598688,0.89490443,0.000101945836,0.0010312571,0.00082884583,0.0008166692,0.018762873,0.0083028255,0.00479693,0.0014018911,0.0654815],"study_design_scores_gemma":[0.000038417307,0.0005927896,0.8974466,0.000011015532,0.0001265286,0.00030337326,0.00015614694,0.09758934,0.0020733431,0.00083554414,0.00078185496,0.000045070396],"about_ca_topic_score_codex":0.0019643418,"about_ca_topic_score_gemma":0.0012908402,"teacher_disagreement_score":0.0058021112,"about_ca_system_score_codex":0.00035012251,"about_ca_system_score_gemma":0.00024533112,"threshold_uncertainty_score":0.030684829},"labels":[],"label_agreement":null},{"id":"W6885966506","doi":"10.14288/1.0093946","title":"Big Fridays","year":2010,"lang":"en","type":"article","venue":"Open Collections","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Covered interest arbitrage; Thursday; Arbitrage; Payment; Clearing; Interest rate; Money market; Database transaction","score_opus":0.03766892787798408,"score_gpt":0.22517931276669317,"score_spread":0.18751038488870908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6885966506","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060913065,0.0016922943,0.0011237665,0.0033530793,0.009886907,0.0002899432,0.01699275,0.0030918103,0.95747817],"genre_scores_gemma":[0.02788384,0.0013833516,0.001160753,0.0019189384,0.0030697053,0.00011223451,0.0130305495,0.0012918428,0.95014876],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992466,0.000074169,0.00003508046,0.00014992298,0.0002807137,0.00021350704],"domain_scores_gemma":[0.9977518,0.000087844426,0.00011284182,0.0002943157,0.0004436285,0.0013095639],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008252733,0.0012077332,0.0007682681,0.0023960525,0.0033216449,0.00667065,0.0013372679,0.0012495415,0.68521076],"category_scores_gemma":[0.0019691675,0.0005067446,0.0010437215,0.0019213094,0.0005406499,0.003053996,0.0049935603,0.0020924879,0.38400453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002889772,0.00008635197,0.001672964,0.00019769782,0.000019122506,0.00017965192,0.00031348472,0.000078810386,0.0007535104,0.004719345,0.9255014,0.066188775],"study_design_scores_gemma":[0.000014184053,0.00003441051,0.0035762987,0.00003830206,0.0000039743054,0.000055162116,0.0002503794,0.0000274048,0.00013461884,0.00045062127,0.9954033,0.000011201777],"about_ca_topic_score_codex":0.008225958,"about_ca_topic_score_gemma":0.026223198,"teacher_disagreement_score":0.68521076,"about_ca_system_score_codex":0.0014694822,"about_ca_system_score_gemma":0.0013942975,"threshold_uncertainty_score":0.44900864},"labels":[],"label_agreement":null},{"id":"W6886910795","doi":"10.15468/dl.5ee3ph","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Nova scotia","score_opus":0.022698518451632954,"score_gpt":0.2000956631307756,"score_spread":0.17739714467914264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6886910795","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000039393173,0.00002780021,0.000035251916,0.000033632707,0.000009520473,0.000004996101,0.9991165,0.00028601545,0.00044691216],"genre_scores_gemma":[0.00017995512,0.000038669004,0.00017900516,0.000047699512,0.0000038384123,0.00004525519,0.9989513,0.000108890774,0.00044532993],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998971,0.00015261013,0.00013329541,0.00035938347,0.00022019034,0.00016357507],"domain_scores_gemma":[0.99747413,0.0007556527,0.00026090647,0.00060510094,0.0006041092,0.00030017897],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010376085,0.0019120923,0.0015508647,0.0048708552,0.000819779,0.0024896576,0.002661443,0.002174601,0.14966905],"category_scores_gemma":[0.0064660045,0.0008015537,0.0011145486,0.00944234,0.00042174917,0.0020707499,0.002359884,0.0018990772,0.20676552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029125056,0.000011021401,0.00038788747,0.0005180744,0.000015922438,0.00001483533,0.000016202528,0.00015645812,0.00008155363,0.00035356535,0.99707353,0.0013419219],"study_design_scores_gemma":[0.00011134279,0.000010853656,0.0021571543,0.00021989348,0.000016102338,0.000039582654,0.000059208647,0.00023928995,0.00017147252,0.0010160153,0.9959407,0.000018391853],"about_ca_topic_score_codex":0.018237451,"about_ca_topic_score_gemma":0.030549673,"teacher_disagreement_score":0.85033095,"about_ca_system_score_codex":0.0015500314,"about_ca_system_score_gemma":0.0021712573,"threshold_uncertainty_score":0.50069284},"labels":[],"label_agreement":null},{"id":"W6887344121","doi":"10.15468/dl.wna5x2","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","score_opus":0.019552701493788703,"score_gpt":0.19905947337531368,"score_spread":0.17950677188152497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6887344121","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000059067745,0.000033592936,0.00005180527,0.00005155352,0.000013333247,0.000006271514,0.9987024,0.0004286172,0.00065339083],"genre_scores_gemma":[0.0001795223,0.00003456219,0.0002104906,0.000048111917,0.0000037829132,0.000041594652,0.99890745,0.000112102345,0.00046230512],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99901426,0.00014835551,0.00012884435,0.00033180928,0.00022507076,0.0001515763],"domain_scores_gemma":[0.9976307,0.0006898003,0.00021570388,0.0006192503,0.0005904075,0.00025415013],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009420028,0.0018809332,0.0014390814,0.00433012,0.0009822167,0.0024468247,0.0028578655,0.0021924367,0.12190187],"category_scores_gemma":[0.0061700707,0.00076661597,0.0011927293,0.008459578,0.00045594914,0.0020692449,0.0022896172,0.002045975,0.19431224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027148482,0.000013000544,0.0004038232,0.00042041155,0.00001294324,0.000015632986,0.000020256128,0.00014967223,0.00007563104,0.00038106917,0.9971102,0.0013703295],"study_design_scores_gemma":[0.00010184999,0.000010976043,0.0021196967,0.00020303349,0.000015121551,0.00004761305,0.00008384641,0.00029161555,0.00017820184,0.0011175062,0.9958112,0.00001937177],"about_ca_topic_score_codex":0.024178257,"about_ca_topic_score_gemma":0.041816123,"teacher_disagreement_score":0.87809813,"about_ca_system_score_codex":0.0015870708,"about_ca_system_score_gemma":0.0023574391,"threshold_uncertainty_score":0.4078024},"labels":[],"label_agreement":null},{"id":"W6889678888","doi":"10.25949/19434551.v1","title":"Order protection, commonality, and herding behaviour in equity markets","year":2020,"lang":"en","type":"dissertation","venue":"Figshare","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Tick size; Herding; Equity (law); Price discovery; Order (exchange); Market microstructure; Market impact; Liquidity crisis","score_opus":0.09549679705842708,"score_gpt":0.2794142487802395,"score_spread":0.18391745172181245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6889678888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886436,0.00031533872,0.008032047,0.00023001779,0.0000029535177,0.0000129709,0.000024765703,0.000018278159,0.0027201518],"genre_scores_gemma":[0.9984127,0.00009910454,0.0011382797,0.000017843011,0.000005701174,0.0000052197806,0.000013465451,0.0000023766595,0.00030531117],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915254,0.00029328684,0.00007329557,0.00014505092,0.00018067982,0.00015523213],"domain_scores_gemma":[0.9837546,0.009103787,0.005203527,0.0011479201,0.0003708784,0.0004192857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028958307,0.00013969855,0.00049879943,0.000989238,0.00047389948,0.0016516407,0.0004971905,0.0005748163,0.0020466216],"category_scores_gemma":[0.016248548,0.0002312933,0.0004954063,0.0007750135,0.0018510944,0.0020259223,0.0011073216,0.0005143885,0.00008246672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005281888,0.0003546751,0.5596048,0.00028251615,0.0005870368,0.0004506912,0.0057102004,0.076096065,0.010890434,0.19824857,0.0012974764,0.14594941],"study_design_scores_gemma":[0.00009178874,0.0005394435,0.56679857,0.00010728069,0.00020886249,0.0003432835,0.0028459053,0.22109197,0.0034371295,0.2006073,0.0038342618,0.00009421984],"about_ca_topic_score_codex":0.0018532939,"about_ca_topic_score_gemma":0.0016451724,"teacher_disagreement_score":0.0028958307,"about_ca_system_score_codex":0.0007911944,"about_ca_system_score_gemma":0.00044499905,"threshold_uncertainty_score":0.015314817},"labels":[],"label_agreement":null},{"id":"W6890226966","doi":"10.34989/san-2024-17","title":"Could all-to-all trading improve liquidity in the Government of Canada bond market?","year":2024,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Government bond; Bond; Market liquidity; Government (linguistics); Relevance (law); Bond market","score_opus":0.06275354517555393,"score_gpt":0.27363948455766945,"score_spread":0.21088593938211553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6890226966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.888991,0.0036833296,0.0014654584,0.022649558,0.0001095938,0.000098721335,0.0011653263,0.00022878918,0.08160835],"genre_scores_gemma":[0.99587363,0.0005338975,0.000328514,0.00069902453,0.000026283764,0.0000036469835,0.000108648295,0.000010360735,0.002416116],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880695,0.00015654921,0.000035235855,0.00009867316,0.00025163527,0.00065101194],"domain_scores_gemma":[0.99482346,0.00089832244,0.0009618807,0.00026039986,0.0012982375,0.0017576496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001306859,0.00025640655,0.00056343037,0.0005976391,0.0025308006,0.0042972513,0.0010782111,0.0012031186,0.012175194],"category_scores_gemma":[0.0102120275,0.00012784047,0.0003923302,0.0012303677,0.0014024744,0.0028577447,0.0012232729,0.0014214673,0.0006374439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027881514,0.0013540392,0.5535814,0.00047518715,0.00043656887,0.0018745238,0.0036507964,0.015593325,0.0070286836,0.080650784,0.046518344,0.2860482],"study_design_scores_gemma":[0.00078836054,0.00071542594,0.7845588,0.0005024418,0.0010140339,0.00081296894,0.017384404,0.03457285,0.0062788874,0.07155038,0.08155214,0.00026949856],"about_ca_topic_score_codex":0.82432747,"about_ca_topic_score_gemma":0.93211436,"teacher_disagreement_score":0.17567253,"about_ca_system_score_codex":0.011370904,"about_ca_system_score_gemma":0.024238706,"threshold_uncertainty_score":0.35341418},"labels":[],"label_agreement":null},{"id":"W6908207092","doi":"10.25394/pgs.11328641","title":"Essays on Empirical Asset Pricing","year":2019,"lang":"en","type":"dissertation","venue":"Purdue","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transaction data; Corporate bond; Bond; Equity (law); Price discovery; Database transaction; Volatility (finance); Quarter (Canadian coin); Stock (firearms)","score_opus":0.04359624501865804,"score_gpt":0.26906835510080124,"score_spread":0.22547211008214318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6908207092","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045950618,0.39143458,0.04284571,0.24439447,0.0369054,0.000073760675,0.0018963228,0.00040913292,0.27744558],"genre_scores_gemma":[0.1318002,0.4722657,0.02868074,0.04915532,0.15654217,0.0003538545,0.0028157968,0.0008467603,0.15753949],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99786025,0.0008191833,0.00017993661,0.0003585215,0.00067898503,0.00010312522],"domain_scores_gemma":[0.9815392,0.014371668,0.00048514994,0.001420197,0.0018424079,0.00034141674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047133984,0.0012581383,0.0010140153,0.003592005,0.0011880815,0.0043959124,0.0011763771,0.002771863,0.024980638],"category_scores_gemma":[0.026009804,0.00048444004,0.0009803188,0.0055584763,0.0037855727,0.0071867276,0.0015146846,0.005987546,0.009775689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030056268,0.000072669165,0.0013996378,0.00035431323,0.00004657244,0.000107342355,0.00037362936,0.0013635283,0.00008256623,0.44998845,0.44523013,0.10095113],"study_design_scores_gemma":[0.000013819101,0.00001788101,0.001607357,0.0009216948,0.000014139905,0.00016979582,0.00025303845,0.0017323426,0.00006344026,0.36586225,0.6293211,0.000023179216],"about_ca_topic_score_codex":0.0019087337,"about_ca_topic_score_gemma":0.0010814267,"teacher_disagreement_score":0.024980638,"about_ca_system_score_codex":0.0027133655,"about_ca_system_score_gemma":0.0015140856,"threshold_uncertainty_score":0.08356857},"labels":[],"label_agreement":null},{"id":"W6924977174","doi":"10.1594/pangaea.905341","title":"Holocene temperature reconstructions for northeastern North America and the northwestern Atlantic, core Spo","year":2019,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Triacetin; Emperipolesis; Demotion","score_opus":0.07556879626309852,"score_gpt":0.25614742864158485,"score_spread":0.18057863237848631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6924977174","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029807925,0.00009214887,0.000026249054,0.000048284506,0.000019096793,0.000003781502,0.9990969,0.000100248675,0.00031526768],"genre_scores_gemma":[0.00097612734,0.00009354393,0.00018813589,0.000026503025,0.000009537359,0.000042985193,0.99814904,0.000040621446,0.00047352578],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995388,0.000060778544,0.000070236376,0.00012997212,0.00011206414,0.00008835639],"domain_scores_gemma":[0.99810624,0.00018629851,0.00022595651,0.00029104037,0.0010161554,0.00017432014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008759449,0.0011231219,0.0009100006,0.0026943446,0.0005793911,0.0014766466,0.0021302416,0.0011015004,0.021313058],"category_scores_gemma":[0.004138061,0.00055717677,0.00095852924,0.0065632146,0.00027167707,0.0009882654,0.0014248461,0.0013433914,0.026307957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045353405,0.0000135028295,0.0041746907,0.0003451668,0.000052529103,0.000015736234,0.000023920178,0.0003567492,0.00006974995,0.00022826699,0.9923003,0.0023740812],"study_design_scores_gemma":[0.00043897028,0.000014465678,0.077048264,0.0005923181,0.000076574535,0.000072140116,0.00021832161,0.0008050368,0.00028722585,0.0007311153,0.9196643,0.000051380986],"about_ca_topic_score_codex":0.256707,"about_ca_topic_score_gemma":0.3474746,"teacher_disagreement_score":0.743293,"about_ca_system_score_codex":0.0022036068,"about_ca_system_score_gemma":0.00317702,"threshold_uncertainty_score":0.5104256},"labels":[],"label_agreement":null},{"id":"W6925497781","doi":"10.17863/cam.43480","title":"The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer.","year":2019,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Servicio Gallego de Salud; Instituto de Salud Carlos III; Cancer Council Western Australia; World Cancer Research Fund; Medical Research Council; Cancer Center, University of Kansas; University of California, Irvine; University of California, San Francisco; Ministero dell'Università e della Ricerca; Hellenic Health Foundation; Institut Català de la Salut; Centro de Investigación Biomédica en Red de Cáncer; Federal Agency for Scientific Organizations; Liga Portuguesa Contra o Cancro; Ministero dello Sviluppo Economico; Uppsala Universitet; Istituto Oncologico Veneto; Memorial Sloan-Kettering Cancer Center; Institut National Du Cancer; National Health and Medical Research Council; Deutsche Krebshilfe; Mutuelle Générale de l'Education Nationale; Royal Marsden NHS Foundation Trust; Sahlgrenska Universitetssjukhuset; Fondazione Umberto Veronesi; Fox Chase Cancer Center; KWF Kankerbestrijding; Vetenskapsrådet; Stockholms Läns Landsting; Freistaat Sachsen; Royal Adelaide Hospital; Fisher Center for Alzheimer's Research Foundation; Peter MacCallum Cancer Centre; Kuopion Yliopistollinen Sairaala; Associazione Italiana per la Ricerca sul Cancro; Karolinska Institutet; Linköpings Universitet; Hungarian Scientific Research Fund; University of Southern California; Cancerfonden; Landspítali Háskólasjúkrahús; Ministerio de Economía y Competitividad; National Center for Advancing Translational Sciences; Bundesministerium für Bildung und Forschung; Imperial College London; Gentofte Hospital; Fondation ARC pour la Recherche sur le Cancer; American Cancer Society; Cancer Australia; Russian Foundation for Basic Research; Monash University; University of Crete; Ministero della Salute; Institut National de la Santé et de la Recherche Médicale; Deutsche Gesetzliche Unfallversicherung; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst; Programme Grants for Applied Research; Robert Bosch Stiftung; Ligue Contre le Cancer; Invitae; University of Westminster; Agence Nationale de la Recherche; National Breast Cancer Foundation; McGill University; Generalitat de Catalunya; Cancer Institute NSW; University College London; Hospital de Câncer de Barretos; Umeå Universitet; Institució Catalana de Recerca i Estudis Avançats; Centres de Recerca de Catalunya; National Cancer Institute; European Regional Development Fund; Ministerio de Sanidad, Servicios Sociales e Igualdad; University of Cambridge; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Government of Canada; Stavros Niarchos Foundation; University of Pennsylvania; Fondation de France; Georgetown University; Breast Cancer Campaign; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Swedish Cancer Foundation; David F. and Margaret T. Grohne Family Foundation; California Department of Public Health; Westmead Millennium Institute for Medical Research; Deutsches Krebsforschungszentrum; Breast Cancer Research Foundation; Helsingin ja Uudenmaan Sairaanhoitopiiri; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Fundación Mutua Madrileña; Lon V. Smith Foundation; Genome Canada; Itä-Suomen Yliopisto; Centers for Disease Control and Prevention; Jewish General Hospital; National Institute for Health and Care Research; National Institutes of Health; Division of Cancer Prevention, National Cancer Institute; University of Chicago; NRG Oncology; Fondation du cancer du sein du Québec; Beckman Research Institute, City of Hope; Xunta de Galicia; Dr. Ralph and Marian Falk Medical Research Trust; Canadian Institutes of Health Research; European Commission; AstraZeneca; Kansas Bioscience Authority; Institut Gustave-Roussy; Fundación Cellex; Oak Foundation; Sundhed og Sygdom, Det Frie Forskningsråd; Ohio State University; U.S. Department of Health and Human Services; Cancer Research UK; Susan G. Komen for the Cure; Pfizer; Fanconi Anemia Research Fund; Fonds Wetenschappelijk Onderzoek","keywords":"CHEK2; Breast cancer; PALB2; Germline; Cancer; Disease; Olaparib; Germline mutation; Genetic predisposition; BRCA2 Protein","score_opus":0.009638298963793446,"score_gpt":0.16914433673822912,"score_spread":0.15950603777443567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6925497781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882591,0.0023357212,0.00090072094,0.001883174,0.0002974041,0.0000137345905,0.0023065924,0.000092350536,0.0039111692],"genre_scores_gemma":[0.9975147,0.00019233464,0.00026001417,0.0002073344,0.00012404232,0.000005736463,0.00038183722,0.000020321668,0.0012937069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998317,0.000033988366,0.000014854579,0.00005282648,0.00003231707,0.000034247623],"domain_scores_gemma":[0.9993414,0.00023202231,0.00024076922,0.000036451183,0.000037078415,0.000112275084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030518157,0.0005261159,0.0003821334,0.0005218439,0.00042762817,0.0005404477,0.00029772762,0.001163782,0.009057866],"category_scores_gemma":[0.001369769,0.00012808987,0.00043173233,0.00058509974,0.00030996915,0.00017834763,0.00023861224,0.0007984084,0.0010621647],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020497857,0.0004677114,0.7081828,0.000624123,0.0016528814,0.03491413,0.0006730087,0.0021471903,0.12181856,0.004553796,0.031965695,0.07250216],"study_design_scores_gemma":[0.0005670047,0.0005337836,0.9260762,0.00028296362,0.0008992711,0.03526531,0.00028063604,0.0044019013,0.0067189056,0.0054202997,0.019444993,0.000108845175],"about_ca_topic_score_codex":0.0037976077,"about_ca_topic_score_gemma":0.002760182,"teacher_disagreement_score":0.009057866,"about_ca_system_score_codex":0.00022490992,"about_ca_system_score_gemma":0.00019422834,"threshold_uncertainty_score":0.03030163},"labels":[],"label_agreement":null},{"id":"W6931622031","doi":"10.5281/zenodo.6672685","title":"Potential Extensions to Protein Identification by Short-epitope Mapping (PrISM)","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Identification (biology); Protein–protein interaction; Field (mathematics); Feature (linguistics); Pattern recognition (psychology)","score_opus":0.04202980280920428,"score_gpt":0.21457593825450624,"score_spread":0.17254613544530195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931622031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.569478,0.006427173,0.4128618,0.0016865608,0.00036558832,0.00058300176,0.0019773094,0.0015569817,0.005063648],"genre_scores_gemma":[0.52006215,0.002526986,0.4667849,0.0009419663,0.000067721325,0.0002986609,0.0053768577,0.00021965776,0.0037211208],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883217,0.00044552234,0.00008552723,0.0002484096,0.00023029651,0.00015813051],"domain_scores_gemma":[0.99734586,0.001214938,0.00017079707,0.000589606,0.00044953654,0.00022923542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004246246,0.0009825835,0.00078713434,0.0003347145,0.00036934114,0.00074551266,0.0013849713,0.0012899799,0.0058009448],"category_scores_gemma":[0.0042975754,0.00037621733,0.0014467053,0.00051467447,0.0004881209,0.0018433445,0.0011159542,0.0020933375,0.0019466219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088546687,0.00029422596,0.0013471012,0.0006182165,0.000078610756,0.00025891364,0.00008148493,0.002250467,0.9720623,0.0013139539,0.00080099277,0.020008242],"study_design_scores_gemma":[0.00017351341,0.0019658282,0.0053935423,0.000050078634,0.00016108839,0.0028159143,0.0001501297,0.024349185,0.94411427,0.0049080057,0.015843268,0.000075260636],"about_ca_topic_score_codex":0.00041962427,"about_ca_topic_score_gemma":0.0003408335,"teacher_disagreement_score":0.0058009448,"about_ca_system_score_codex":0.00023724114,"about_ca_system_score_gemma":0.00041578995,"threshold_uncertainty_score":0.022456586},"labels":[],"label_agreement":null},{"id":"W6936504389","doi":"10.58079/oro6","title":"Trading à haute fréquence / High Frequency Trading","year":2016,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"High-frequency trading; Work (physics); Order (exchange); Algorithmic trading; Term (time)","score_opus":0.029591977348847876,"score_gpt":0.21529484266945526,"score_spread":0.18570286532060737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6936504389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88271874,0.0017889838,0.028106876,0.00231019,0.00025301418,0.000063261155,0.0003847747,0.00028120587,0.084093],"genre_scores_gemma":[0.99250084,0.0001470304,0.0018287789,0.00016363054,0.00008914707,0.000007723822,0.000080824655,0.000017809563,0.00516417],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990408,0.00018140112,0.00006883568,0.00016369278,0.0003421132,0.00020309143],"domain_scores_gemma":[0.99570173,0.0016404598,0.0011374896,0.0005712938,0.00050355814,0.00044552382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015975938,0.0002525734,0.0004023218,0.00078431686,0.0008548102,0.0037457335,0.00040905084,0.0009704465,0.013510137],"category_scores_gemma":[0.0067170244,0.00017366896,0.000325845,0.00056327175,0.0009715988,0.0018903031,0.0009057938,0.0008943859,0.0011489005],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016653552,0.00053412176,0.33598173,0.00041746793,0.0005342053,0.0028531097,0.002117287,0.012437895,0.03989866,0.25838766,0.015750172,0.32942235],"study_design_scores_gemma":[0.00025976158,0.0008740473,0.5602379,0.00021842349,0.0003080785,0.007540621,0.0028705054,0.06575109,0.016941354,0.23261985,0.11210296,0.0002754546],"about_ca_topic_score_codex":0.005901418,"about_ca_topic_score_gemma":0.005568879,"teacher_disagreement_score":0.013510137,"about_ca_system_score_codex":0.00093579415,"about_ca_system_score_gemma":0.0003828145,"threshold_uncertainty_score":0.045195937},"labels":[],"label_agreement":null},{"id":"W6936581539","doi":"10.58079/ute2","title":"BEFORE DISPLACEMENT: STUDENTIFICATION, CAMPUS-LED GENTRIFICATION AND RENTAL MARKET TRANSFORMATION IN A MULTIETHNIC NEIGHBORHOOD (PARC-EXTENSION, MONTREAL)","year":2022,"lang":"en","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gentrification; Renting; Transformation (genetics); Order (exchange); Rental housing; Metropolitan area","score_opus":0.021970909457036412,"score_gpt":0.22007248348946093,"score_spread":0.1981015740324245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6936581539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849476,0.00024303472,0.00015657523,0.0020665035,0.000023121776,0.000012282834,0.00012929825,0.000005715743,0.012415828],"genre_scores_gemma":[0.9888769,0.0001347662,0.000076439246,0.0000713325,0.000005474317,0.000004471562,0.000030591116,0.0000046370064,0.010795444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973947,0.000047500947,0.0000036180663,0.000030823503,0.000049182967,0.00012940043],"domain_scores_gemma":[0.99948454,0.000051155683,0.00007322928,0.000025788471,0.00010976926,0.0002554228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043362094,0.00010818338,0.00016452365,0.00029447215,0.0038313293,0.0027985799,0.0007268455,0.00040258808,0.009500729],"category_scores_gemma":[0.0011926662,0.00008461902,0.00018192634,0.000738349,0.0017662393,0.00071145745,0.001624919,0.00056874234,0.00031794497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024127681,0.00045073926,0.5968155,0.000114022085,0.000060791306,0.002518251,0.20556214,0.0015128257,0.003327563,0.059094563,0.026329372,0.10397295],"study_design_scores_gemma":[0.0000095898995,0.000078929246,0.7378166,0.000061049235,0.00002096739,0.00012519729,0.20389393,0.0007533094,0.00051218417,0.0019027465,0.054784067,0.00004131046],"about_ca_topic_score_codex":0.8581135,"about_ca_topic_score_gemma":0.9429595,"teacher_disagreement_score":0.14188647,"about_ca_system_score_codex":0.011361227,"about_ca_system_score_gemma":0.010160187,"threshold_uncertainty_score":0.28544408},"labels":[],"label_agreement":null},{"id":"W6965320236","doi":"10.34989/san-2023-9","title":"It takes a panel to predict the future: What the stock market says about future economic growth in Canada","year":2023,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Stock market; Stock (firearms); Valuation (finance); Economic forecasting; Forecast period; Economic indicator; Slowdown","score_opus":0.04469369009122775,"score_gpt":0.24547118920230684,"score_spread":0.2007774991110791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6965320236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9176385,0.0014595392,0.002284176,0.012177504,0.00021186315,0.000058900987,0.040378686,0.00014784197,0.025643019],"genre_scores_gemma":[0.9813867,0.00059073756,0.00050720444,0.000376856,0.000051208805,0.000009318891,0.0129943,0.000012323833,0.0040712385],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970526,0.00004291329,0.000013574332,0.00005504251,0.000110505716,0.00007268794],"domain_scores_gemma":[0.99682057,0.00058160577,0.00037683378,0.00014415754,0.0017685947,0.00030826635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010172413,0.00036635512,0.00028368557,0.00068402203,0.0007865813,0.0018761677,0.0005075328,0.00047804974,0.0032347837],"category_scores_gemma":[0.0055363537,0.00016537833,0.00035308063,0.0013933921,0.00030744716,0.00088847894,0.0004042577,0.0008722725,0.00055983046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045804342,0.000089912326,0.8066449,0.00009084733,0.00039444937,0.00024496616,0.00060217315,0.06733605,0.00074078486,0.0049707606,0.07149401,0.046933066],"study_design_scores_gemma":[0.00007698651,0.000085451,0.7839557,0.0001261442,0.00026184213,0.000060380797,0.0019131667,0.17441538,0.0014701711,0.0052752187,0.03220917,0.00015036816],"about_ca_topic_score_codex":0.9798329,"about_ca_topic_score_gemma":0.97632295,"teacher_disagreement_score":0.020167112,"about_ca_system_score_codex":0.009579624,"about_ca_system_score_gemma":0.00928018,"threshold_uncertainty_score":0.06950539},"labels":[],"label_agreement":null},{"id":"W6965325713","doi":"10.34989/san-2023-11","title":"Do hedge funds support liquidity in the Government of Canada bond market?","year":2023,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Hedge fund; Market liquidity; Global assets under management; Bond market; Bond; Government (linguistics); Alternative beta; Fund of funds","score_opus":0.07463142153055373,"score_gpt":0.26934071021335015,"score_spread":0.1947092886827964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6965325713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.862641,0.009194445,0.00018431192,0.0478308,0.00012749806,0.000046773082,0.0028006649,0.00003852413,0.07713597],"genre_scores_gemma":[0.99236417,0.0020048178,0.000064018815,0.00087686133,0.00005460092,0.000004812386,0.0002824858,0.0000058445403,0.004342416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943155,0.00005134329,0.000016926084,0.000038675604,0.00018741735,0.00027413125],"domain_scores_gemma":[0.9938658,0.000948507,0.0018850213,0.0001464784,0.0019700103,0.0011841935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086009834,0.00015252599,0.00038261875,0.0009403259,0.0017328317,0.005204961,0.00083166844,0.0013641157,0.0072976737],"category_scores_gemma":[0.010075418,0.00019694169,0.00021937826,0.0013607298,0.0012031719,0.0019223636,0.0008146305,0.0010463693,0.00053281477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022069984,0.0004790222,0.74005723,0.00033191105,0.0002717115,0.00103779,0.004384411,0.002688922,0.0020978444,0.07555401,0.07788913,0.09300093],"study_design_scores_gemma":[0.00037999707,0.00010878163,0.9060851,0.00025550634,0.00032198522,0.0001567074,0.010393136,0.005550718,0.0011638528,0.013239171,0.062243063,0.00010211528],"about_ca_topic_score_codex":0.947068,"about_ca_topic_score_gemma":0.9700261,"teacher_disagreement_score":0.9797463,"about_ca_system_score_codex":0.020253707,"about_ca_system_score_gemma":0.026531043,"threshold_uncertainty_score":0.14695162},"labels":[],"label_agreement":null},{"id":"W6965717699","doi":"10.34989/san-2023-12","title":"The contribution of firm profits to the recent rise in inflation","year":2023,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Inflation (cosmology); Measure (data warehouse); Real interest rate; Economic stability; Monetary policy","score_opus":0.06702844767925224,"score_gpt":0.29205085855529483,"score_spread":0.22502241087604258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6965717699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729532,0.0011249802,0.0008500475,0.0022869655,0.00007067113,0.000029118277,0.004334262,0.000063366344,0.018287405],"genre_scores_gemma":[0.99623114,0.00034814878,0.00009572339,0.000055006713,0.000055125813,0.000003350401,0.0014205913,0.0000062278623,0.0017847458],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984938,0.00007957816,0.00006774928,0.00011988164,0.00071588514,0.0005231328],"domain_scores_gemma":[0.99080616,0.0011452427,0.0035815756,0.00021996713,0.0028823183,0.0013647492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010318608,0.00020190387,0.00024713177,0.0015259339,0.00079644116,0.0026402588,0.0005817475,0.000788749,0.0014898251],"category_scores_gemma":[0.013687102,0.00017155043,0.000366743,0.0019950848,0.0006550926,0.00067187275,0.00069127535,0.0015401937,0.00038187415],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017667997,0.0000654427,0.9595698,0.00007626507,0.00014063512,0.00033893678,0.00064217433,0.008658908,0.0007385434,0.005120675,0.0036844013,0.020787636],"study_design_scores_gemma":[0.0000035344003,0.000030340261,0.9909218,0.000017364062,0.000043499233,0.00010656616,0.00031832323,0.0039134845,0.00031494966,0.0006139692,0.003693241,0.000022977049],"about_ca_topic_score_codex":0.62949926,"about_ca_topic_score_gemma":0.6935753,"teacher_disagreement_score":0.37050074,"about_ca_system_score_codex":0.008220486,"about_ca_system_score_gemma":0.005332554,"threshold_uncertainty_score":0.7453654},"labels":[],"label_agreement":null},{"id":"W6965818519","doi":"10.34989/san-2024-16","title":"How big is cash-futures basis trading in Canada’s government bond market?","year":2024,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Futures contract; Bond; Government (linguistics); Government bond; Relation (database); Futures market; Bond market","score_opus":0.05130540387246979,"score_gpt":0.23796752373859117,"score_spread":0.18666211986612138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6965818519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7914287,0.0141377235,0.00089611905,0.05625365,0.0002725796,0.00008448882,0.0043957643,0.000084345775,0.13244678],"genre_scores_gemma":[0.9920848,0.0027981298,0.00018306561,0.0007924715,0.000090770656,0.0000043331606,0.00048246176,0.000014093502,0.003549823],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990232,0.00009173628,0.000028287244,0.000102580576,0.00043577809,0.00031838726],"domain_scores_gemma":[0.99443674,0.001000548,0.0009666712,0.0001261475,0.0019881155,0.0014817951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014227566,0.00023177348,0.0004323903,0.0015669977,0.0030236447,0.008382289,0.0008620737,0.0011672938,0.005376065],"category_scores_gemma":[0.009494508,0.00024323817,0.00031353632,0.0028533076,0.002339596,0.005188551,0.0008667037,0.0020657375,0.0005254894],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007524525,0.00026997176,0.6044735,0.00041980422,0.0002723498,0.0013242982,0.0077223345,0.004348348,0.0021827114,0.14989713,0.089318804,0.1390184],"study_design_scores_gemma":[0.00006207802,0.000059684135,0.84210694,0.00036846873,0.00021844481,0.00035112185,0.027026134,0.013804375,0.0016161975,0.040265597,0.073903136,0.00021773767],"about_ca_topic_score_codex":0.95376617,"about_ca_topic_score_gemma":0.97155356,"teacher_disagreement_score":0.046233833,"about_ca_system_score_codex":0.031815737,"about_ca_system_score_gemma":0.027260369,"threshold_uncertainty_score":0.23084038},"labels":[],"label_agreement":null},{"id":"W6979851753","doi":"","title":"Ameresco Reports Fourth Quarter and Full Year 2011 Financial Results | Stock Market | Markets — Financial Market Summaries at...","year":2012,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock market; Quarter (Canadian coin); Financial market; Stock (firearms); Market data; Market depth; Indirect finance","score_opus":0.01680309481175749,"score_gpt":0.1975735503711169,"score_spread":0.18077045555935942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6979851753","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018168192,0.0020029813,0.0005599205,0.0044549783,0.0020189718,0.00013224008,0.58244854,0.0036621408,0.40290344],"genre_scores_gemma":[0.005954299,0.0028963736,0.0008228141,0.00073912553,0.0008550061,0.00016456016,0.30282977,0.0014805078,0.6842575],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99919134,0.00003518802,0.00004084354,0.00006782176,0.00054235186,0.00012247426],"domain_scores_gemma":[0.9954218,0.00033894126,0.00037037733,0.000353371,0.0029675788,0.00054793584],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008636626,0.0010400504,0.0006964895,0.006111371,0.00068505673,0.0047932244,0.0007673955,0.001013574,0.3424034],"category_scores_gemma":[0.0047351373,0.00042131395,0.0004533752,0.007833491,0.0002507733,0.0019466783,0.0010009339,0.0014706608,0.3713544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015266553,0.000015354775,0.00029951855,0.000041521118,0.0000015731791,0.0000058660216,0.0000035983173,0.000021408452,0.00002681035,0.00033450357,0.9898471,0.0093875155],"study_design_scores_gemma":[0.000013594359,0.000011037242,0.007911958,0.0000728415,0.0000044549092,0.000017477307,0.00002164923,0.00012924688,0.0002528929,0.00046140119,0.9910896,0.000013917351],"about_ca_topic_score_codex":0.049163464,"about_ca_topic_score_gemma":0.07795647,"teacher_disagreement_score":0.3424034,"about_ca_system_score_codex":0.0016275436,"about_ca_system_score_gemma":0.0037429302,"threshold_uncertainty_score":0.9379817},"labels":[],"label_agreement":null},{"id":"W6980250977","doi":"","title":"$5.00 Billion in Sales Expected for The Southern Company (NYSE:SO) This Quarter","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payment; Revenue; Sales journal","score_opus":0.03944140156803187,"score_gpt":0.22503019712762506,"score_spread":0.18558879555959318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980250977","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003898898,0.0010253645,0.00055996835,0.0031202487,0.0009998416,0.00008571822,0.030279424,0.0013493004,0.9586813],"genre_scores_gemma":[0.0042855046,0.0005888909,0.00020350904,0.00031085775,0.00014399552,0.000034579432,0.010412689,0.00017147805,0.9838485],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99987197,0.0000091927905,0.000005288948,0.00001933075,0.00007115235,0.000023028808],"domain_scores_gemma":[0.9997677,0.000018004697,0.000017191478,0.000015042126,0.00009333943,0.00008877474],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024977373,0.00062748964,0.00021425373,0.00095781754,0.0004921045,0.0017193755,0.00026459736,0.00085728534,0.40260777],"category_scores_gemma":[0.0008849267,0.00016794489,0.00024308261,0.00068208936,0.00024095626,0.0008895378,0.00083445554,0.0008049296,0.28177175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025491176,0.00002049698,0.00046842927,0.000034510387,0.000001454737,0.000013646539,0.000006716367,0.00009368585,0.00015477225,0.0015688987,0.9775507,0.0200611],"study_design_scores_gemma":[0.000024699853,0.000034002063,0.0053974045,0.00008308684,0.0000026590953,0.00004059579,0.0000518702,0.00044696493,0.0003067274,0.0010451885,0.9925605,0.0000063576613],"about_ca_topic_score_codex":0.01764563,"about_ca_topic_score_gemma":0.033769663,"teacher_disagreement_score":0.40260777,"about_ca_system_score_codex":0.00088497775,"about_ca_system_score_gemma":0.001150077,"threshold_uncertainty_score":0.8521075},"labels":[],"label_agreement":null},{"id":"W6980385768","doi":"","title":"Bør norske investorer valutasikre?","year":2023,"lang":"no","type":"dissertation","venue":"Duo Research Archive (University of Oslo)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Quarter (Canadian coin)","score_opus":0.07065572608022078,"score_gpt":0.2716709741707977,"score_spread":0.20101524809057694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980385768","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12043436,0.05101964,0.011807844,0.17921975,0.004779456,0.00010373325,0.001560928,0.00025204595,0.6308221],"genre_scores_gemma":[0.7054496,0.027636604,0.005347582,0.014865421,0.0014852588,0.00007392074,0.0013453721,0.00028227884,0.24351397],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953253,0.001169336,0.00023942598,0.0007924322,0.0016520722,0.00082135],"domain_scores_gemma":[0.99549663,0.0010114809,0.0008529753,0.00037469523,0.0013891686,0.00087502785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052573597,0.00051538134,0.00069652265,0.00083265646,0.0016080468,0.014702086,0.000857276,0.0031383245,0.048581522],"category_scores_gemma":[0.015626762,0.0003884499,0.00041065473,0.0010201421,0.0022586144,0.007269857,0.0028032134,0.003813253,0.012900711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007151407,0.00031843528,0.036354702,0.0010657354,0.0001703621,0.0006548365,0.0040299757,0.001588441,0.004017874,0.3812755,0.2255892,0.3442198],"study_design_scores_gemma":[0.000073015,0.00017328703,0.023488816,0.0014560787,0.00007418632,0.0005248954,0.0066248197,0.0013402536,0.0026725829,0.07906726,0.8843955,0.000109342254],"about_ca_topic_score_codex":0.014060183,"about_ca_topic_score_gemma":0.014934425,"teacher_disagreement_score":0.048581522,"about_ca_system_score_codex":0.0041350713,"about_ca_system_score_gemma":0.0052294666,"threshold_uncertainty_score":0.16252136},"labels":[],"label_agreement":null},{"id":"W6981229158","doi":"","title":"Does the basis regression overstate the predictive value of the futures price?","year":2019,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Futures contract; Statistic; Spot contract; Regression analysis; Regression; Predictive value; Value (mathematics); Cross-sectional regression","score_opus":0.006957018429341541,"score_gpt":0.1585520717903862,"score_spread":0.15159505336104465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981229158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69068223,0.0023485923,0.26845554,0.010489156,0.0008217771,0.00013252303,0.00095930445,0.0011801262,0.024930786],"genre_scores_gemma":[0.98113406,0.0009457332,0.01406407,0.0011499517,0.0003910283,0.000033993783,0.0004132887,0.00022031934,0.0016476492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99407876,0.0034805685,0.00029308657,0.00090043485,0.0009386304,0.0003085207],"domain_scores_gemma":[0.8506608,0.11908406,0.01030204,0.0127846245,0.006373621,0.0007949207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03012236,0.0009637076,0.0019880154,0.0013651638,0.00048367176,0.0025645676,0.0016248364,0.0016671647,0.002266509],"category_scores_gemma":[0.15275909,0.00045558118,0.00091464556,0.0019263285,0.002169059,0.006288841,0.0014599117,0.0026868673,0.0016952495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013844193,0.00033955235,0.44532365,0.00033107985,0.001204784,0.0003900996,0.001012101,0.051895406,0.0031463942,0.06346415,0.0074256887,0.42408273],"study_design_scores_gemma":[0.00014976825,0.0006741761,0.19504863,0.00031487626,0.00034707546,0.00059394096,0.00077362807,0.62099284,0.005397216,0.16855614,0.0069562914,0.00019539909],"about_ca_topic_score_codex":0.008346799,"about_ca_topic_score_gemma":0.0064302282,"teacher_disagreement_score":0.03012236,"about_ca_system_score_codex":0.000516497,"about_ca_system_score_gemma":0.0012480891,"threshold_uncertainty_score":0.15930414},"labels":[],"label_agreement":null},{"id":"W6983201287","doi":"","title":"Liquidity and Crises in Asian Equity Markets","year":2013,"lang":"en","type":"book-chapter","venue":"Research Portal (Queen's University Belfast)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Market liquidity; Equity (law); Liquidity crisis; Financial market; Capital market","score_opus":0.061564540039101716,"score_gpt":0.267244998144027,"score_spread":0.2056804581049253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6983201287","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35996905,0.19242905,0.005508446,0.036691207,0.00081160676,0.000030325027,0.0010270778,0.00015712489,0.4033761],"genre_scores_gemma":[0.9392505,0.029427608,0.00037156345,0.0003803957,0.00080656965,0.000015189713,0.00020683154,0.000030180365,0.029511055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9999268,0.000021229976,0.00000637999,0.000009246835,0.000015584603,0.000020717447],"domain_scores_gemma":[0.999403,0.0003054439,0.00011156557,0.000019093028,0.000063257794,0.0000977459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057911524,0.00021690692,0.0002450847,0.00064875523,0.0003672286,0.00289513,0.0002700895,0.00067315745,0.006714906],"category_scores_gemma":[0.0020549637,0.00015473503,0.00015466394,0.0016144125,0.0009776768,0.0026945628,0.0005997776,0.001236981,0.0003832041],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048448308,0.00010359356,0.01699059,0.00034600313,0.00004956477,0.0010155874,0.003325754,0.011681149,0.0009877094,0.7520195,0.093821876,0.11917406],"study_design_scores_gemma":[0.00004841109,0.00004258181,0.022623958,0.00042903572,0.00003281711,0.00029180705,0.0021726803,0.014217552,0.00025000697,0.906964,0.052885987,0.00004114752],"about_ca_topic_score_codex":0.015486386,"about_ca_topic_score_gemma":0.012562387,"teacher_disagreement_score":0.015486386,"about_ca_system_score_codex":0.001381114,"about_ca_system_score_gemma":0.0009689351,"threshold_uncertainty_score":0.030792475},"labels":[],"label_agreement":null},{"id":"W6985930969","doi":"","title":"MOME in Hindsight","year":2004,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"","keywords":"Hindsight bias; Proposition; Market efficiency; Stock market; Market microstructure; Financial market; Market mechanism; Empirical research; Empirical evidence","score_opus":0.021193218313794473,"score_gpt":0.21361403843252014,"score_spread":0.19242082011872566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6985930969","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019798798,0.012710565,0.008915541,0.6500828,0.042022973,0.00010786919,0.00042469054,0.00052934734,0.28322625],"genre_scores_gemma":[0.052904073,0.0040682154,0.0036102664,0.74069107,0.02608312,0.00025258568,0.00017298729,0.0002682693,0.17194934],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.986286,0.003792844,0.00077672885,0.0035352907,0.0044040265,0.0012051709],"domain_scores_gemma":[0.97608817,0.010012557,0.0014967354,0.0035296218,0.0077843675,0.0010885067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012569736,0.0005898547,0.0011979652,0.0013459489,0.0048751305,0.009311601,0.0025949492,0.01226771,0.018537652],"category_scores_gemma":[0.065749325,0.00052822835,0.00076071016,0.00081425486,0.0109948525,0.008662426,0.0037825434,0.023396824,0.011585971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016720096,0.000016460986,0.00027016233,0.00004884346,0.0000131038205,0.000091383714,0.00032378462,0.00009145521,0.00006589011,0.3727542,0.6140903,0.01221769],"study_design_scores_gemma":[0.000012485686,0.000015415706,0.00020545769,0.0001860879,0.00000790677,0.00011404186,0.00015534722,0.00021094005,0.00015285656,0.06992906,0.92898786,0.000022580796],"about_ca_topic_score_codex":0.007855339,"about_ca_topic_score_gemma":0.0073929187,"teacher_disagreement_score":0.018537652,"about_ca_system_score_codex":0.0042536296,"about_ca_system_score_gemma":0.0069677867,"threshold_uncertainty_score":0.06647593},"labels":[],"label_agreement":null},{"id":"W6986424461","doi":"","title":"Potential Hot Stocks with News: Gazit-Globe, Natuzzi, The Southern, Canadian Solar, Credit Suisse","year":2013,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Debt; Work (physics); Stock (firearms); Payment","score_opus":0.011521434738527,"score_gpt":0.17477342734034748,"score_spread":0.1632519926018205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986424461","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06283504,0.018800884,0.0007639821,0.015143945,0.0012905159,0.00019538784,0.21750359,0.0010460803,0.6824206],"genre_scores_gemma":[0.21369182,0.013857656,0.0014685909,0.0011397871,0.0006739023,0.00008370209,0.08432408,0.0005918342,0.6841686],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998286,0.000008476596,0.000005182668,0.000018563616,0.000072523224,0.0000667523],"domain_scores_gemma":[0.9992466,0.000060159684,0.000087179265,0.000026714544,0.00033353828,0.0002458534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035200056,0.00060595036,0.00021313228,0.0028935983,0.0013142,0.0038679962,0.00054284325,0.0009567851,0.07003501],"category_scores_gemma":[0.0017231716,0.00020719269,0.00029786586,0.006771197,0.0003241851,0.0013174163,0.0008167104,0.0009126146,0.010451885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017129623,0.000034381264,0.025839375,0.00035182215,0.00004474943,0.00034114704,0.00043158926,0.0006759602,0.0001599476,0.006451488,0.90814745,0.05735068],"study_design_scores_gemma":[0.00007049261,0.000021986316,0.1456087,0.00053588283,0.000073917065,0.00024432456,0.0026783657,0.0011387428,0.0007830743,0.0029341897,0.84587204,0.000038212995],"about_ca_topic_score_codex":0.50885254,"about_ca_topic_score_gemma":0.77939326,"teacher_disagreement_score":0.50885254,"about_ca_system_score_codex":0.0043720608,"about_ca_system_score_gemma":0.0049425466,"threshold_uncertainty_score":0.98807985},"labels":[],"label_agreement":null},{"id":"W6986460237","doi":"","title":"Power Co. of Canada (TSE:POW) Stock Crosses Below 200 Day Moving Average of $0.00","year":2019,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Moving average; Power (physics); Stock control","score_opus":0.01311602320382202,"score_gpt":0.19926091205184848,"score_spread":0.18614488884802646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986460237","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029889126,0.0007621767,0.0006438316,0.0046530096,0.0005922555,0.00013358418,0.044357378,0.0010183768,0.94485044],"genre_scores_gemma":[0.0066949097,0.00057228556,0.00030670388,0.00040158402,0.000046585916,0.000019021069,0.010010971,0.00019630263,0.9817516],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993742,0.000015233715,0.00001151711,0.000048556398,0.00037163662,0.000178907],"domain_scores_gemma":[0.9978587,0.00004692828,0.00004837165,0.00007421977,0.0015356815,0.00043607157],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039515155,0.0008140283,0.00039692354,0.001474166,0.0032969886,0.0034873232,0.0008220271,0.0013884605,0.3118053],"category_scores_gemma":[0.002021599,0.0003758237,0.0003412259,0.0017341875,0.0007446347,0.0009964131,0.0009917638,0.0016145132,0.10076023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027434677,0.000021287862,0.0011527597,0.000031329415,0.0000032283078,0.000029490655,0.000022052687,0.00011199258,0.0000968027,0.0037634217,0.96699566,0.027744573],"study_design_scores_gemma":[0.000013352854,0.000014648552,0.00971269,0.000088230765,0.0000042280503,0.00003734935,0.00012354738,0.00046898235,0.0003817182,0.0011850852,0.9879551,0.000015127331],"about_ca_topic_score_codex":0.90067464,"about_ca_topic_score_gemma":0.95886266,"teacher_disagreement_score":0.3118053,"about_ca_system_score_codex":0.010662416,"about_ca_system_score_gemma":0.029079886,"threshold_uncertainty_score":0.9816262},"labels":[],"label_agreement":null},{"id":"W6986696578","doi":"","title":"Quanta Services Reports 2012 Second Quarter Results | Stock Market","year":2012,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Stock market; Stock (firearms); Measure (data warehouse)","score_opus":0.021909079166490403,"score_gpt":0.21243573844916883,"score_spread":0.19052665928267842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986696578","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003138376,0.0030344876,0.001696247,0.008903733,0.0028214436,0.00026012628,0.47833943,0.0051392773,0.49666676],"genre_scores_gemma":[0.01532467,0.0032257664,0.0014843175,0.0007832597,0.0021927734,0.00028863054,0.21669394,0.0019864966,0.7580202],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99770606,0.000117322605,0.0001156344,0.00017219373,0.0016555651,0.00023323664],"domain_scores_gemma":[0.9944232,0.000538958,0.0004960443,0.0006942513,0.0031262066,0.00072134763],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019444701,0.0014678423,0.0012738706,0.007754664,0.001060166,0.0063169585,0.001385228,0.0013672085,0.34401748],"category_scores_gemma":[0.0087707555,0.0005371141,0.00084207446,0.0066245524,0.0003711727,0.002033308,0.0016749518,0.0016785533,0.28564647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000276656,0.000026102145,0.00048352178,0.000049737468,0.0000074627305,0.000010223463,0.0000060786297,0.00008970513,0.000031977692,0.0013394569,0.9849421,0.01298593],"study_design_scores_gemma":[0.000092508846,0.00003504726,0.015840828,0.00017456313,0.000027528962,0.000034358967,0.00003996855,0.0013399896,0.0008568379,0.0046575097,0.97686756,0.000033271503],"about_ca_topic_score_codex":0.036857598,"about_ca_topic_score_gemma":0.054311316,"teacher_disagreement_score":0.34401748,"about_ca_system_score_codex":0.0029814919,"about_ca_system_score_gemma":0.0031864266,"threshold_uncertainty_score":0.93567944},"labels":[],"label_agreement":null},{"id":"W6986824088","doi":"","title":"Release: Success for Paul J. Hill Business School Teams at JDC West business competition, Inter-Collegiate Business Competition and UR Investing Montreal Exchange Options Trading Simulation contest","year":2016,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"CONTEST; Competition (biology); Business history; Business operations","score_opus":0.01814804407728778,"score_gpt":0.20069837290632778,"score_spread":0.18255032882904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986824088","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010240499,0.00041671007,0.010417747,0.0073689665,0.008529567,0.0014218759,0.036363237,0.036696702,0.8885447],"genre_scores_gemma":[0.016462719,0.00012500292,0.0027368804,0.00046720717,0.0005894921,0.000328124,0.026860122,0.010117559,0.9423128],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99804294,0.0001500702,0.000047889444,0.00016383633,0.0012036988,0.0003915103],"domain_scores_gemma":[0.9893612,0.0005779101,0.0001593537,0.00086464785,0.0035337433,0.0055031194],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0039274828,0.0012710842,0.00077118445,0.0013411804,0.0022471917,0.0065499516,0.0015444196,0.0012448379,0.43024585],"category_scores_gemma":[0.008893495,0.0005863816,0.0006621529,0.0005930148,0.00066508405,0.0025103374,0.0038699019,0.002387892,0.3220931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012630082,0.00009144896,0.00033601408,0.000026489446,0.000005264316,0.000036934347,0.0000640856,0.00023676912,0.00031685052,0.0009988411,0.9829943,0.014766697],"study_design_scores_gemma":[0.000105884385,0.00008963139,0.0022178767,0.000044795077,0.0000044786,0.00003138003,0.00011487363,0.0013015204,0.0006549707,0.001192099,0.9942187,0.000023847591],"about_ca_topic_score_codex":0.015819632,"about_ca_topic_score_gemma":0.04743435,"teacher_disagreement_score":0.9841804,"about_ca_system_score_codex":0.0014086524,"about_ca_system_score_gemma":0.003389711,"threshold_uncertainty_score":0.81268513},"labels":[],"label_agreement":null},{"id":"W6987364543","doi":"","title":"Stock Market Today: Dow Jones, S&amp;amp;P 500 Ticks Upwards; TSM Soars On Record Quarter \\n\\n\\tTamar Securities Financial Portal","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Stock market; Stock (firearms); Financial market; Listed company","score_opus":0.02593038598541423,"score_gpt":0.21924614994913705,"score_spread":0.19331576396372283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987364543","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00090232777,0.00069640425,0.0005470387,0.0015630225,0.0017560131,0.00013578688,0.013878139,0.0028020376,0.97771925],"genre_scores_gemma":[0.0012528484,0.00035475456,0.00019528656,0.0002713285,0.000319409,0.00003573155,0.003434357,0.00044120668,0.9936951],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995596,0.000023068775,0.000017795559,0.000057533754,0.00028605934,0.000055944678],"domain_scores_gemma":[0.9984486,0.00010154889,0.00008289846,0.0001241839,0.00058077386,0.00066201144],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00064956944,0.0014937238,0.0011392083,0.002078446,0.0011505587,0.005751812,0.0006316659,0.001331247,0.69766515],"category_scores_gemma":[0.0028393974,0.00069757627,0.0005649692,0.0018055883,0.00039278864,0.0022179773,0.0015217946,0.002058869,0.71074593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017592442,0.00002360444,0.000106168576,0.00002447846,0.0000014907911,0.0000076241595,0.000003700057,0.000044413075,0.000059936247,0.0005253403,0.97522277,0.023962881],"study_design_scores_gemma":[0.000032931344,0.000040616877,0.0017474142,0.00008103339,0.0000046702926,0.000019923777,0.000021559306,0.00038900628,0.00019162803,0.0012660925,0.996192,0.000013133933],"about_ca_topic_score_codex":0.008531374,"about_ca_topic_score_gemma":0.024097864,"teacher_disagreement_score":0.69766515,"about_ca_system_score_codex":0.00088805874,"about_ca_system_score_gemma":0.0018066268,"threshold_uncertainty_score":0.43124396},"labels":[],"label_agreement":null},{"id":"W6987426319","doi":"","title":"Stock Traders Purchase High Volume of Canadian Solar Call Options (NASDAQ:CSIQ)","year":2023,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Volume (thermodynamics); Purchasing; Stock market","score_opus":0.038464726518950595,"score_gpt":0.20465001426494683,"score_spread":0.16618528774599622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987426319","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27094385,0.0010364387,0.0010528596,0.0030471417,0.00024969206,0.0002795296,0.020920262,0.00064903783,0.7018212],"genre_scores_gemma":[0.51687545,0.00075766974,0.0009962962,0.00048610967,0.00011698953,0.00002574673,0.007278573,0.000099613986,0.4733636],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996822,0.000011074903,0.0000049800005,0.000019909803,0.00020274484,0.00007909025],"domain_scores_gemma":[0.9994128,0.0000905474,0.000049814113,0.00003078799,0.00030880727,0.000107301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032212402,0.00032939127,0.00016823837,0.0010425742,0.0016984498,0.0021224045,0.00040929115,0.0006140522,0.07323075],"category_scores_gemma":[0.0019687328,0.00014526836,0.00020472679,0.0012624586,0.00022745114,0.0005639534,0.00041355495,0.0005057397,0.008620685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007090376,0.00033035383,0.111103,0.00014955252,0.00006640062,0.0006780596,0.00094797875,0.0023718122,0.004052812,0.015887497,0.6377678,0.2259358],"study_design_scores_gemma":[0.00018320102,0.00014919287,0.49278423,0.00015833558,0.00008250291,0.00034369362,0.0033472667,0.014912089,0.007997323,0.00420048,0.47572264,0.00011904407],"about_ca_topic_score_codex":0.81418693,"about_ca_topic_score_gemma":0.92376494,"teacher_disagreement_score":0.18581307,"about_ca_system_score_codex":0.006912265,"about_ca_system_score_gemma":0.0041746153,"threshold_uncertainty_score":0.3738147},"labels":[],"label_agreement":null},{"id":"W6987462077","doi":"","title":"South Jersey Industries: SJI TO HOST THIRD QUARTER 2017 CONFERENCE CALL AND LIVE WEBCAST | Stock Market | NYSE Composite Stock Quote | NYA Company Stock Market Quotes","year":2017,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Webcast; Stock (firearms); Stock market; Quarter (Canadian coin); Stock exchange; Primary market","score_opus":0.04550834278778133,"score_gpt":0.23933866323365996,"score_spread":0.1938303204458786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987462077","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010462364,0.00047591003,0.0005464255,0.0027479697,0.0024602378,0.00016719177,0.024127316,0.003276075,0.9651528],"genre_scores_gemma":[0.0011216033,0.00024374963,0.000172759,0.00021380468,0.00036544265,0.0000491552,0.0079137515,0.00092934625,0.9889903],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993711,0.000028989863,0.000018399756,0.000058180707,0.0003893884,0.00013405136],"domain_scores_gemma":[0.99729013,0.00014803479,0.00010492915,0.00024486778,0.0011295695,0.00108244],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010018622,0.0011693503,0.0008491161,0.0026808595,0.0018962955,0.0066901925,0.001367927,0.0018380949,0.78938526],"category_scores_gemma":[0.0030460546,0.0006141526,0.0007978779,0.0020840028,0.0005534835,0.0030417626,0.0031961254,0.0027582059,0.7417891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002153535,0.0000419722,0.00015173639,0.000022263519,0.0000017913749,0.000017730978,0.000008139197,0.000034323948,0.000058224578,0.0004058905,0.9887736,0.010462799],"study_design_scores_gemma":[0.000028833649,0.000019467001,0.001858512,0.0000687576,0.0000035587643,0.000019200868,0.00007376656,0.0002764842,0.00021513419,0.0007450948,0.9966788,0.000012398064],"about_ca_topic_score_codex":0.02024116,"about_ca_topic_score_gemma":0.068996675,"teacher_disagreement_score":0.78938526,"about_ca_system_score_codex":0.001961334,"about_ca_system_score_gemma":0.0048772707,"threshold_uncertainty_score":0.30041635},"labels":[],"label_agreement":null},{"id":"W6987751151","doi":"","title":"The third quarter was a dud for stocks, but the fourth quarter could be full of surprises","year":2019,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Period (music); Population; Subject (documents)","score_opus":0.028332950147656025,"score_gpt":0.222619400920776,"score_spread":0.19428645077311998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987751151","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016940309,0.0051754154,0.0028333203,0.023867553,0.0194537,0.00021932676,0.05465785,0.0018511486,0.87500143],"genre_scores_gemma":[0.013071989,0.00094201876,0.00035032284,0.0016221813,0.0008518327,0.000047793397,0.0072093755,0.00029399607,0.97561044],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99913687,0.000050267925,0.00004717873,0.00007657286,0.0005119613,0.00017727246],"domain_scores_gemma":[0.99797386,0.00016097733,0.00016230922,0.00014009379,0.0009906102,0.00057216873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010873139,0.00073724304,0.00043521862,0.0020813786,0.0014374891,0.0054697334,0.0006960681,0.0025438454,0.14850645],"category_scores_gemma":[0.004728017,0.00035133926,0.00046873136,0.0014586707,0.0005634036,0.0020533781,0.0017530207,0.0026758781,0.08381494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021172896,0.0000486024,0.0018677264,0.000110315195,0.00000792824,0.0001374328,0.00005260528,0.0002528193,0.00044160392,0.017182214,0.92753184,0.052155215],"study_design_scores_gemma":[0.000014928509,0.000039064438,0.008428124,0.000094120835,0.0000028553848,0.0000900671,0.00010407432,0.00040111772,0.00056715595,0.003260422,0.98698217,0.000015786365],"about_ca_topic_score_codex":0.027275192,"about_ca_topic_score_gemma":0.060527362,"teacher_disagreement_score":0.14850645,"about_ca_system_score_codex":0.0042115743,"about_ca_system_score_gemma":0.0034910848,"threshold_uncertainty_score":0.49680358},"labels":[],"label_agreement":null},{"id":"W6987989203","doi":"","title":"West Fraser Announces 2021 Second Quarter Results and 2021 Virtual Investor Event","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Quarter (Canadian coin)","score_opus":0.01905490040774906,"score_gpt":0.20926525329314788,"score_spread":0.1902103528853988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987989203","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003001529,0.0015065703,0.00071302085,0.04253582,0.01850765,0.0001211676,0.0073105865,0.0010909828,0.92521274],"genre_scores_gemma":[0.003289541,0.00021966557,0.00014673603,0.002294914,0.0009965478,0.000019818717,0.00097337284,0.00015889389,0.99190056],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895513,0.00006810449,0.000018121878,0.000087640416,0.0005650152,0.00030590998],"domain_scores_gemma":[0.99847955,0.00017875264,0.00005861646,0.00009088605,0.00048404007,0.00070812175],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016204912,0.00073515764,0.0006325015,0.0010147744,0.002339666,0.007820302,0.0009761829,0.006711215,0.2992726],"category_scores_gemma":[0.003105691,0.000298421,0.0005527779,0.0005921729,0.00046446093,0.0017472908,0.0015700541,0.0039576585,0.17948052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038982776,0.000032249383,0.000100997495,0.0000081844055,0.000001391952,0.00004340879,0.000005187719,0.000053488413,0.000044198976,0.0019265804,0.99122286,0.006522425],"study_design_scores_gemma":[0.00001820273,0.00002536698,0.0014327985,0.00002506597,0.0000026427278,0.000022366008,0.000041285202,0.00031657494,0.00017401057,0.0013700534,0.9965609,0.000010740153],"about_ca_topic_score_codex":0.015838254,"about_ca_topic_score_gemma":0.06388443,"teacher_disagreement_score":0.2992726,"about_ca_system_score_codex":0.0020588473,"about_ca_system_score_gemma":0.002934797,"threshold_uncertainty_score":0.9995026},"labels":[],"label_agreement":null},{"id":"W6989089573","doi":"","title":"AFG FlameGuard Commences Trading on the Canadian National Stock Exchange (CNSX) | Reuters","year":2012,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock (firearms); Currency; Payment","score_opus":0.08313684787476526,"score_gpt":0.23008173543014324,"score_spread":0.146944887555378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989089573","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005469727,0.0013700554,0.0013855416,0.005131626,0.0018420819,0.00043143812,0.09340437,0.005439877,0.8855252],"genre_scores_gemma":[0.01557935,0.00063096127,0.0016825753,0.00044169888,0.0002906595,0.00007680849,0.032539267,0.0010372361,0.9477215],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99851245,0.000043499844,0.000029937946,0.00012820221,0.0009973935,0.0002885301],"domain_scores_gemma":[0.9958353,0.0001984739,0.00013702676,0.0004386257,0.002286403,0.0011041897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016685225,0.00097290165,0.0006453995,0.003420428,0.0024590036,0.0046301885,0.0013646173,0.0012518807,0.21751837],"category_scores_gemma":[0.0054821805,0.00032036606,0.00048202038,0.0023524817,0.0006617406,0.0013705904,0.0010334585,0.0015926234,0.085395925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072970004,0.000025993306,0.0007553375,0.00003057125,0.000003966937,0.000031054602,0.000033751043,0.00013650297,0.00014968718,0.005365488,0.95487493,0.03851956],"study_design_scores_gemma":[0.000020257383,0.0000140903985,0.0053944215,0.00004002693,0.0000027960798,0.000016407337,0.000044817643,0.000493091,0.00048515634,0.0012800832,0.9921956,0.000013189702],"about_ca_topic_score_codex":0.7381915,"about_ca_topic_score_gemma":0.8255576,"teacher_disagreement_score":0.2618085,"about_ca_system_score_codex":0.009241334,"about_ca_system_score_gemma":0.024284275,"threshold_uncertainty_score":0.72767144},"labels":[],"label_agreement":null},{"id":"W6989602866","doi":"","title":"10 of the Best Canadian Stocks to Buy in November &amp;amp; Hold Forever","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Payment; Stock (firearms); Purchasing","score_opus":0.0461667664113275,"score_gpt":0.22702066239663116,"score_spread":0.18085389598530366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989602866","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029259052,0.0010413805,0.00023500893,0.0037581194,0.0016969836,0.0001403095,0.013900965,0.00064813154,0.9756531],"genre_scores_gemma":[0.0027710607,0.00017438768,0.000109668625,0.00030464464,0.000079025325,0.000009546662,0.0012593118,0.000098230215,0.99519414],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99914074,0.0000202771,0.000015877718,0.00006218228,0.00046686106,0.0002940816],"domain_scores_gemma":[0.99747425,0.00006568889,0.000048799728,0.000083384926,0.0013546442,0.00097327406],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005493998,0.0011244151,0.00057920965,0.0024722174,0.004473136,0.006334541,0.00096363924,0.0022175184,0.48197284],"category_scores_gemma":[0.0020964942,0.0004300806,0.00068983046,0.0016633635,0.0006420433,0.0012610832,0.0014724082,0.0017000199,0.23346348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037138176,0.00003545916,0.00096197997,0.000034427605,0.000004595884,0.000060124694,0.000031874053,0.00007719243,0.0001449733,0.0025172888,0.9722973,0.023797493],"study_design_scores_gemma":[0.0000144674505,0.000018107714,0.0050589954,0.00006325387,0.000006528987,0.000027296657,0.00014032536,0.00020895798,0.00032348032,0.0006408121,0.99347717,0.000020505779],"about_ca_topic_score_codex":0.679911,"about_ca_topic_score_gemma":0.9241191,"teacher_disagreement_score":0.5180272,"about_ca_system_score_codex":0.009870227,"about_ca_system_score_gemma":0.018480178,"threshold_uncertainty_score":0.73890287},"labels":[],"label_agreement":null},{"id":"W6989636688","doi":"","title":"Building a Portfolio? Start With These 3 Top Canadian Stocks By The Motley Fool","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Motley; Work (physics); Stock (firearms); Government (linguistics)","score_opus":0.019289705293685344,"score_gpt":0.19861836399396945,"score_spread":0.1793286587002841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989636688","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026119787,0.016954828,0.0015444044,0.26522365,0.01599198,0.00012565771,0.0022762646,0.00067649403,0.6945948],"genre_scores_gemma":[0.0136970775,0.006071654,0.0015564631,0.01724114,0.0014195598,0.00002503306,0.00037013582,0.0002852369,0.95933366],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989742,0.00006438234,0.000016313992,0.00006489948,0.0005849536,0.00029531744],"domain_scores_gemma":[0.9971631,0.00009837652,0.000049234983,0.000077644756,0.0015269925,0.0010846002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013348432,0.0006539745,0.0003447551,0.0018205764,0.006759473,0.0068175686,0.0007011009,0.0020981869,0.08240996],"category_scores_gemma":[0.005216358,0.0002572754,0.00040190725,0.0014430612,0.0017034343,0.0031386393,0.0020203143,0.0028168664,0.024574384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005415857,0.000004782139,0.00024809342,0.000010583588,0.0000013401592,0.000015202565,0.00006349093,0.000029990902,0.000022367281,0.0075192377,0.96970594,0.022373615],"study_design_scores_gemma":[0.0000043714203,0.000004259878,0.0007542783,0.0000789368,0.0000025734428,0.00002251205,0.00027358314,0.0000670544,0.00006574918,0.003055461,0.9956599,0.000011342625],"about_ca_topic_score_codex":0.828749,"about_ca_topic_score_gemma":0.94783276,"teacher_disagreement_score":0.171251,"about_ca_system_score_codex":0.018585924,"about_ca_system_score_gemma":0.044103704,"threshold_uncertainty_score":0.34451902},"labels":[],"label_agreement":null},{"id":"W6989717040","doi":"","title":"Canadian Solar to Attend the 18th Credit Suisse Asian Investment Conference in Hong Kong - The Business Journals","year":2015,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Government (linguistics); China; Work (physics)","score_opus":0.05434244551022719,"score_gpt":0.2334820981249696,"score_spread":0.1791396526147424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989717040","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073935124,0.023996206,0.00045373084,0.05565126,0.046194047,0.0003041888,0.013237344,0.0006117314,0.85215807],"genre_scores_gemma":[0.0042170705,0.002086241,0.00008778684,0.00064413,0.0010113023,0.000017530363,0.0007085944,0.00007612911,0.9911513],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994622,0.00004374324,0.000020164585,0.000055611832,0.00024444412,0.00017381574],"domain_scores_gemma":[0.99644816,0.00013794443,0.00011465611,0.00009624932,0.0014512017,0.0017517818],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012079627,0.0008714558,0.0007577629,0.002417787,0.003908837,0.006205669,0.00060644525,0.0015017978,0.41938198],"category_scores_gemma":[0.0022472793,0.00028605253,0.0004607954,0.0027916047,0.0006008493,0.0018376732,0.0018207957,0.001732265,0.12493328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015497393,0.000014686272,0.00046435773,0.000054313805,0.0000033710812,0.00004627241,0.000048223323,0.00003663452,0.000034469933,0.00075649336,0.988393,0.010132659],"study_design_scores_gemma":[0.0000050595986,0.000008616884,0.00315394,0.00009238067,0.0000035400096,0.000016369182,0.00029481013,0.000055186963,0.000059169317,0.00018935843,0.99611473,0.0000067568935],"about_ca_topic_score_codex":0.28014654,"about_ca_topic_score_gemma":0.6758996,"teacher_disagreement_score":0.41938198,"about_ca_system_score_codex":0.008180184,"about_ca_system_score_gemma":0.017816992,"threshold_uncertainty_score":0.82818115},"labels":[],"label_agreement":null},{"id":"W6989909181","doi":"","title":"Canadian Solar (NASDAQ:CSIQ) Stock Rating Lowered by Citigroup","year":2023,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Stock market; Economic forecasting","score_opus":0.020814482290843424,"score_gpt":0.19747436512353198,"score_spread":0.17665988283268855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989909181","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003016434,0.0011212137,0.00037758608,0.010651814,0.0019535841,0.00020961427,0.14111,0.0015943412,0.83996546],"genre_scores_gemma":[0.008972019,0.000929011,0.0005565408,0.0011329501,0.00030114868,0.000057120655,0.03706037,0.0004724582,0.95051837],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975764,0.000044246368,0.0000558666,0.00013683877,0.0018290478,0.000357633],"domain_scores_gemma":[0.9885417,0.00019962936,0.0002125524,0.00035107357,0.009696405,0.0009985473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012687076,0.0008987491,0.00068209483,0.0052774576,0.0042003784,0.0056349845,0.0014669431,0.002125845,0.207858],"category_scores_gemma":[0.0076710414,0.0004587898,0.0007083691,0.005549251,0.00055550085,0.0011856699,0.0012292062,0.002250772,0.08722128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012351603,0.000007649606,0.00058720965,0.000013991688,0.0000021191925,0.000010205998,0.00001227388,0.000042683983,0.00003372256,0.0011973913,0.98961043,0.008469846],"study_design_scores_gemma":[0.000016546812,0.000005226426,0.012470415,0.00005957145,0.00000819586,0.000014448224,0.000087385335,0.00040194608,0.00030980582,0.0006131726,0.9859964,0.000017003074],"about_ca_topic_score_codex":0.9412899,"about_ca_topic_score_gemma":0.96681345,"teacher_disagreement_score":0.207858,"about_ca_system_score_codex":0.022355337,"about_ca_system_score_gemma":0.050414655,"threshold_uncertainty_score":0.6953543},"labels":[],"label_agreement":null},{"id":"W6990005804","doi":"","title":"Consumer Sentiment Stalled","year":2014,"lang":"en","type":"article","venue":"Chapman University Digital Commons (Chapman University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumer confidence index; Quarter (Canadian coin); Pessimism; Unemployment; Equity (law); Index (typography); Offset (computer science)","score_opus":0.02078680385873104,"score_gpt":0.16167864705821255,"score_spread":0.1408918431994815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990005804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5912285,0.0014263621,0.0011084544,0.07522886,0.008452056,0.00008367471,0.0034383722,0.00074911705,0.31828463],"genre_scores_gemma":[0.8350469,0.00034596972,0.00028900953,0.010820637,0.0011812845,0.000039153943,0.0011979197,0.0001968708,0.15088229],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992576,0.00009245728,0.000030191555,0.00014511199,0.0002611154,0.00021356255],"domain_scores_gemma":[0.99678457,0.0005984754,0.00023975366,0.00029527576,0.0013310562,0.00075076765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001823538,0.00025761363,0.00047244958,0.00064041617,0.0015993356,0.0042573614,0.000358273,0.002093714,0.033757538],"category_scores_gemma":[0.0061568506,0.00029325063,0.00044360777,0.0004892992,0.00085199706,0.0017445028,0.0011152948,0.0029813673,0.007481972],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033655372,0.0005017575,0.06935461,0.0002946638,0.0001918709,0.0017002485,0.0041853557,0.00044242124,0.012867996,0.07977029,0.6396366,0.18768874],"study_design_scores_gemma":[0.00016354468,0.00048128088,0.21159106,0.00014709009,0.00010192316,0.0002832663,0.0049496694,0.0017271546,0.005724273,0.013033003,0.7616968,0.00010093912],"about_ca_topic_score_codex":0.017426556,"about_ca_topic_score_gemma":0.020440117,"teacher_disagreement_score":0.033757538,"about_ca_system_score_codex":0.003252864,"about_ca_system_score_gemma":0.0018037845,"threshold_uncertainty_score":0.11293024},"labels":[],"label_agreement":null},{"id":"W6990266934","doi":"","title":"Demutualization of Stock Exchanges in Pakistan and its Comparison with International Scenario","year":2022,"lang":"en","type":"other","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock (firearms); Context (archaeology); Process (computing); Foreign exchange","score_opus":0.02860290114755371,"score_gpt":0.2318204809683706,"score_spread":0.2032175798208169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990266934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87323743,0.00069474394,0.0022120164,0.0020710775,0.000034063596,0.000041917923,0.00039593736,0.000027460366,0.121285364],"genre_scores_gemma":[0.9974783,0.000281315,0.0003096685,0.000037127436,0.000007249423,0.0000046277305,0.00014124566,0.0000036582253,0.0017368089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99933594,0.00024026056,0.000039289665,0.000060810446,0.00012667773,0.00019700422],"domain_scores_gemma":[0.9992411,0.00014586477,0.0002888415,0.000056756675,0.00016679756,0.000100596655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006264646,0.00011943857,0.00009697345,0.0014330196,0.0010864534,0.0033304763,0.0003228576,0.00041163087,0.0039416007],"category_scores_gemma":[0.0019365324,0.00008050325,0.00015762326,0.0025537277,0.0010129123,0.0018903645,0.0009980031,0.0005624327,0.00020201824],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033514615,0.00016846751,0.22003864,0.00014616136,0.000053070395,0.005473955,0.015415781,0.010562172,0.00093920185,0.6482657,0.009448491,0.0891533],"study_design_scores_gemma":[0.00004034545,0.0002489712,0.6204203,0.0003361475,0.00004103418,0.0028937946,0.08829342,0.027315766,0.0023025633,0.070722565,0.18729085,0.00009431856],"about_ca_topic_score_codex":0.029043404,"about_ca_topic_score_gemma":0.021772923,"teacher_disagreement_score":0.029043404,"about_ca_system_score_codex":0.0027604261,"about_ca_system_score_gemma":0.0012048486,"threshold_uncertainty_score":0.057748735},"labels":[],"label_agreement":null},{"id":"W6990550894","doi":"","title":"$0.82 Earnings Per Share Expected for Southern (SO) This Quarter","year":2018,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Duration (music); Payment","score_opus":0.02448314219214129,"score_gpt":0.2117440217192459,"score_spread":0.1872608795271046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990550894","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.098866284,0.0011168595,0.0017091805,0.004211448,0.0010407834,0.00009048137,0.061373033,0.0018010378,0.82979095],"genre_scores_gemma":[0.14122695,0.0012323755,0.0005712874,0.00048679445,0.00034054683,0.000049814767,0.047443725,0.00023371872,0.8084148],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998417,0.000010409539,0.000006410269,0.00002175547,0.00007463563,0.000045118504],"domain_scores_gemma":[0.9997614,0.00001675455,0.000038763894,0.000017648264,0.00009665597,0.000068789166],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026056924,0.0003171004,0.000113716436,0.0008878439,0.0003764123,0.001007522,0.0003016939,0.00036514417,0.10032323],"category_scores_gemma":[0.0009161722,0.000073647505,0.00023984323,0.0006020935,0.00013945857,0.00046879862,0.0005828845,0.0004728765,0.038188476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019277324,0.00013362848,0.018691825,0.0000998461,0.000017596105,0.00010268559,0.00014282038,0.00079984014,0.0012378718,0.013574596,0.8606896,0.10431686],"study_design_scores_gemma":[0.000047855094,0.00011928838,0.07301955,0.00010294801,0.000015339523,0.00018132359,0.00037543237,0.0009192622,0.0015202307,0.003527641,0.92015743,0.000013739628],"about_ca_topic_score_codex":0.013143729,"about_ca_topic_score_gemma":0.01798156,"teacher_disagreement_score":0.8996768,"about_ca_system_score_codex":0.0006710837,"about_ca_system_score_gemma":0.00072174025,"threshold_uncertainty_score":0.33561462},"labels":[],"label_agreement":null},{"id":"W6990651130","doi":"","title":"$0.74 Earnings Per Share Expected for Southern Co (SO) This Quarter","year":2019,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Duration (music); Work (physics)","score_opus":0.024020445174672875,"score_gpt":0.2164119969686475,"score_spread":0.1923915517939746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990651130","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03291895,0.0009788813,0.0006554358,0.0046840208,0.0011494581,0.000085072235,0.039756596,0.0010444368,0.91872734],"genre_scores_gemma":[0.037523795,0.0006327501,0.00020870681,0.0003738873,0.00017057464,0.00003237498,0.015510061,0.000098015385,0.9454499],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998795,0.0000073196375,0.0000042814454,0.000016526346,0.000060181024,0.000032181233],"domain_scores_gemma":[0.9997631,0.000014911794,0.000026172711,0.000013903258,0.00009924936,0.00008264362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019749322,0.00034929306,0.00010046815,0.00088074175,0.0005510332,0.0011486445,0.00022654494,0.0005772661,0.1550635],"category_scores_gemma":[0.00070133014,0.00008996396,0.00017362871,0.00051752053,0.00017046287,0.00049619295,0.0006390459,0.0005251239,0.07236014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010955573,0.00006627733,0.006133072,0.00006224042,0.0000056281497,0.00005661583,0.000052893483,0.0003179459,0.00083874736,0.005922513,0.91908324,0.06735119],"study_design_scores_gemma":[0.000028211694,0.00006811742,0.03430597,0.000077106364,0.000005456853,0.00010371571,0.00019178793,0.0006063286,0.0008040934,0.0016275843,0.9621721,0.000009581762],"about_ca_topic_score_codex":0.029163945,"about_ca_topic_score_gemma":0.052993264,"teacher_disagreement_score":0.1550635,"about_ca_system_score_codex":0.0011603499,"about_ca_system_score_gemma":0.0011779935,"threshold_uncertainty_score":0.5187391},"labels":[],"label_agreement":null},{"id":"W6990992436","doi":"","title":"The equity risk premium and the low frequency of the term spread : international evidence","year":2019,"lang":"pt","type":"dissertation","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Term (time); Risk premium; Equity premium puzzle; Capital asset pricing model","score_opus":0.07639912348790666,"score_gpt":0.3645974525295898,"score_spread":0.28819832904168313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990992436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9629114,0.00980447,0.0027895223,0.0023772265,0.000059368627,0.000010479015,0.00035657326,0.000011728053,0.021679243],"genre_scores_gemma":[0.99617404,0.0020478999,0.00024437226,0.000080273385,0.00007536076,0.0000014303101,0.00011846657,0.0000051274105,0.0012531306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995577,0.00009336308,0.000041225692,0.00012311134,0.0001284868,0.000056112563],"domain_scores_gemma":[0.98752034,0.0058943094,0.004399753,0.0008431179,0.0009577907,0.00038472228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019367049,0.00021300309,0.00026236812,0.0011362995,0.0003027173,0.0018518541,0.0003497539,0.0005396123,0.00668324],"category_scores_gemma":[0.009532719,0.00011563473,0.0003558085,0.0013946089,0.0011714709,0.0012829206,0.0008044952,0.0010339346,0.00043348662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068516436,0.000108538996,0.8649994,0.00033416614,0.0005529223,0.0008296358,0.0022031285,0.0021918465,0.0021418096,0.025664438,0.0015576557,0.098731175],"study_design_scores_gemma":[0.00001725897,0.00015984659,0.97988224,0.00022881753,0.00030768986,0.00048260743,0.0017400475,0.002062906,0.0011923538,0.0072197425,0.0066786925,0.000027865712],"about_ca_topic_score_codex":0.008103716,"about_ca_topic_score_gemma":0.006275288,"teacher_disagreement_score":0.008103716,"about_ca_system_score_codex":0.00034059506,"about_ca_system_score_gemma":0.000330956,"threshold_uncertainty_score":0.022357643},"labels":[],"label_agreement":null},{"id":"W6991024809","doi":"","title":"Essays on Idiosyncratic Volatility and Asset Pricing","year":2010,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Volatility swap; Volatility smile; Implied volatility; Volatility risk premium; Stock (firearms); Systematic risk; Portfolio; Forward volatility","score_opus":0.005316391564900249,"score_gpt":0.14528693462503076,"score_spread":0.13997054306013051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991024809","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029041858,0.4006192,0.018317113,0.21688738,0.019089049,0.00003805141,0.00039288582,0.00010033514,0.31551406],"genre_scores_gemma":[0.39549422,0.3539404,0.0046532587,0.039456416,0.08117191,0.000087546614,0.0004836227,0.00017088288,0.12454178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993424,0.00022587525,0.000043388398,0.000094157374,0.00021746648,0.000076821896],"domain_scores_gemma":[0.9950447,0.00385886,0.00028875118,0.00025765275,0.00038058346,0.0001694918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013485748,0.0006089084,0.0004633662,0.0015132913,0.00096389354,0.002158801,0.0005968866,0.001997802,0.0066327285],"category_scores_gemma":[0.007283959,0.00024223076,0.0006542716,0.0023907856,0.002764175,0.00380838,0.0011823812,0.0035530478,0.0012730288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046930134,0.00007205448,0.0032971145,0.00035734297,0.00005290601,0.00030676086,0.0015596004,0.0021098685,0.00018828927,0.7444079,0.17910177,0.068499476],"study_design_scores_gemma":[0.000019505758,0.000039590333,0.0050560427,0.00074471725,0.00002599673,0.00035800107,0.0008342768,0.0015062119,0.00013201221,0.46592754,0.5253328,0.000023230426],"about_ca_topic_score_codex":0.0011174632,"about_ca_topic_score_gemma":0.00068965,"teacher_disagreement_score":0.0066327285,"about_ca_system_score_codex":0.0010975219,"about_ca_system_score_gemma":0.00078763295,"threshold_uncertainty_score":0.022188663},"labels":[],"label_agreement":null},{"id":"W6991249639","doi":"","title":"Fortis Delivers Record Second Quarter Earnings of $244 Million","year":2015,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Payment; Revenue","score_opus":0.028954477678895384,"score_gpt":0.20140587669028426,"score_spread":0.17245139901138887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991249639","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0083566345,0.0010796821,0.0010657742,0.0040480173,0.0010373587,0.00006809467,0.050762758,0.004723809,0.92885786],"genre_scores_gemma":[0.015596175,0.0005769162,0.0006749415,0.00037484808,0.0003139482,0.000028555187,0.028657766,0.00048805954,0.95328873],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99952507,0.000024833085,0.000013197182,0.00004982745,0.00028977593,0.0000972902],"domain_scores_gemma":[0.9988662,0.000113384915,0.00009393004,0.000108919405,0.0005741426,0.00024337333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007037511,0.00079151534,0.00031918928,0.0026897374,0.0009533169,0.0037745237,0.00068220217,0.00097589847,0.24075104],"category_scores_gemma":[0.0030671763,0.0002116473,0.00032973028,0.0015911238,0.00024866808,0.001109753,0.000990766,0.0009861665,0.1440956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003137724,0.000031711308,0.0010500087,0.00002409526,0.0000029756297,0.000022990016,0.000018908582,0.00014674716,0.00014381153,0.0029188835,0.95942974,0.036178675],"study_design_scores_gemma":[0.000014376292,0.000028991404,0.0067065107,0.00005928307,0.00000456532,0.000046994905,0.000074929245,0.00074261357,0.0005437371,0.0018368446,0.9899288,0.000012313805],"about_ca_topic_score_codex":0.039219778,"about_ca_topic_score_gemma":0.06638779,"teacher_disagreement_score":0.24075104,"about_ca_system_score_codex":0.0015599345,"about_ca_system_score_gemma":0.0021590702,"threshold_uncertainty_score":0.8053925},"labels":[],"label_agreement":null},{"id":"W6991551800","doi":"","title":"Hudbay Minerals Inc. (HBM): One of the Best Canadian Stocks Under $20","year":2024,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Yield (engineering); Work (physics); Production (economics)","score_opus":0.03807283433317266,"score_gpt":0.21247458878082934,"score_spread":0.17440175444765668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991551800","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005067736,0.0016687078,0.00068307645,0.007977261,0.0007861371,0.00016266304,0.04091061,0.0014667211,0.9412771],"genre_scores_gemma":[0.010332596,0.00072729745,0.00063015416,0.00059639127,0.000056402834,0.000019718025,0.0076485425,0.00022203458,0.97976685],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932003,0.000012333158,0.00001060045,0.000041534397,0.00041541175,0.00020014883],"domain_scores_gemma":[0.9981129,0.000037875125,0.000032615666,0.00004030517,0.0012431485,0.0005331297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005189763,0.0007818085,0.00044450918,0.0018889469,0.003106649,0.003347519,0.00080206187,0.0011709041,0.2711862],"category_scores_gemma":[0.0018362777,0.00029951325,0.00035159726,0.0016308506,0.0005523649,0.0009861441,0.0010366199,0.0010782409,0.07926526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033561933,0.000015210382,0.0008362549,0.000038519993,0.0000034847988,0.000025443367,0.00002359738,0.00008345854,0.00013067748,0.0053907987,0.9596113,0.03380784],"study_design_scores_gemma":[0.000013649131,0.00001135375,0.0043002916,0.000058199064,0.0000044735148,0.000018920542,0.000096033495,0.0004079328,0.00030104903,0.0010078266,0.9937663,0.000013898757],"about_ca_topic_score_codex":0.9270992,"about_ca_topic_score_gemma":0.9742032,"teacher_disagreement_score":0.2711862,"about_ca_system_score_codex":0.013336418,"about_ca_system_score_gemma":0.04172332,"threshold_uncertainty_score":0.9072082},"labels":[],"label_agreement":null},{"id":"W6991968068","doi":"","title":"Infosys Share price: Stocks in the news: Bajaj Auto, Infosys, HDFC Life, AR Wealth, MindTree and BHEL","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Data collection; Government (linguistics)","score_opus":0.024389581217649132,"score_gpt":0.21351263143297852,"score_spread":0.18912305021532938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991968068","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015776436,0.0015238886,0.0008143252,0.0034682765,0.0010831492,0.000060661634,0.14140841,0.0038942518,0.8461694],"genre_scores_gemma":[0.007639334,0.0016465521,0.0007998325,0.0004982801,0.0007881317,0.00006756324,0.07083651,0.0019708038,0.9157529],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99962604,0.000025646234,0.000020630294,0.00005460849,0.00021913063,0.000053916567],"domain_scores_gemma":[0.99853754,0.0001821953,0.0001530713,0.00013918056,0.00062741217,0.00036057507],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044250986,0.0010859283,0.00048150282,0.0025220995,0.00069334015,0.004056572,0.0006694509,0.001287132,0.51548696],"category_scores_gemma":[0.0035832056,0.00038053025,0.0003558736,0.0041504377,0.0003233064,0.0017368285,0.0012047517,0.0013386926,0.41313705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019655974,0.00001275769,0.00028334867,0.00003268517,0.000002077373,0.000012092695,0.000007838294,0.00006363285,0.000045543053,0.0017430446,0.97404194,0.02373545],"study_design_scores_gemma":[0.000029236782,0.000015768874,0.004049382,0.00009170325,0.000004438662,0.000026284126,0.00003469637,0.00047109742,0.00044731083,0.0023718877,0.99244666,0.000011493749],"about_ca_topic_score_codex":0.022962421,"about_ca_topic_score_gemma":0.031203993,"teacher_disagreement_score":0.51548696,"about_ca_system_score_codex":0.0013714724,"about_ca_system_score_gemma":0.0016878751,"threshold_uncertainty_score":0.69109905},"labels":[],"label_agreement":null},{"id":"W6994421620","doi":"","title":"Essays in finance","year":2024,"lang":"en","type":"dissertation","venue":"London School of Economics and Political Science Theses Online (London School of Economics and Political Science)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spillover effect; Quarter (Canadian coin); Trademark; Externality; Divestment; Interdependence; Financial innovation; Stock (firearms)","score_opus":0.026678618672533745,"score_gpt":0.27885282071803424,"score_spread":0.2521742020455005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6994421620","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003847522,0.3519507,0.0037433526,0.20635708,0.028291708,0.000031310723,0.000758716,0.00014075659,0.40487885],"genre_scores_gemma":[0.1565779,0.2675716,0.003345259,0.04824358,0.0927571,0.0001434024,0.0010111041,0.000280666,0.43006942],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869484,0.00041468552,0.00006603814,0.00024044554,0.0004448209,0.0001391381],"domain_scores_gemma":[0.9973699,0.0015787221,0.00022083531,0.00025916027,0.00036243937,0.00020900911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018424488,0.0010226975,0.00069602835,0.0029744005,0.001991901,0.004675234,0.00065893226,0.0026883907,0.02912814],"category_scores_gemma":[0.0075189453,0.00023423854,0.000636445,0.002995431,0.004974326,0.004988883,0.0013868046,0.0038962176,0.0076626283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002750164,0.00002634968,0.000935214,0.00024151285,0.000020540243,0.00007758366,0.0009843317,0.00033257288,0.00008962604,0.42669356,0.5020782,0.068493046],"study_design_scores_gemma":[0.000003602908,0.000009174921,0.00069390185,0.00027083614,0.000002956879,0.00007848508,0.00019555206,0.000097976204,0.000025583468,0.04691832,0.9516988,0.000004816862],"about_ca_topic_score_codex":0.0031495388,"about_ca_topic_score_gemma":0.0033932067,"teacher_disagreement_score":0.02912814,"about_ca_system_score_codex":0.0042958925,"about_ca_system_score_gemma":0.0021598202,"threshold_uncertainty_score":0.09744334},"labels":[],"label_agreement":null},{"id":"W6995543086","doi":"","title":"PCSB Financial Corporation Announces Fourth Quarter and Full Year Earnings","year":2017,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Corporation; Quarter (Canadian coin); Financial analysis","score_opus":0.023445655960569512,"score_gpt":0.2035797431804859,"score_spread":0.1801340872199164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995543086","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00823282,0.001206163,0.0016885377,0.011126211,0.0036670095,0.00017139746,0.07576213,0.0034214745,0.89472425],"genre_scores_gemma":[0.011363635,0.0005834124,0.0004999618,0.0004339731,0.00066637446,0.00005477222,0.021443048,0.0006845477,0.96427035],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99863964,0.00005201364,0.000033763423,0.00008697671,0.00097179046,0.00021577525],"domain_scores_gemma":[0.9967668,0.00030150797,0.0002637032,0.00031713935,0.0015787925,0.0007721103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016539012,0.00077562564,0.0005581971,0.002845026,0.0011235168,0.006219418,0.000925959,0.0017516762,0.13899782],"category_scores_gemma":[0.0054100086,0.0003441948,0.00039528625,0.0022547813,0.00050599454,0.0016745015,0.0015476134,0.0029819582,0.08529867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059042242,0.000057030877,0.0008000045,0.000017450006,0.0000027018323,0.000033209802,0.000014404531,0.0001512909,0.00008942787,0.0039331103,0.97628057,0.01856167],"study_design_scores_gemma":[0.00003517541,0.00004023081,0.013192697,0.000058649424,0.0000057284064,0.000036713456,0.00008876633,0.0010984353,0.0008700798,0.005016154,0.9795338,0.000023546814],"about_ca_topic_score_codex":0.033295028,"about_ca_topic_score_gemma":0.06342899,"teacher_disagreement_score":0.13899782,"about_ca_system_score_codex":0.0026975756,"about_ca_system_score_gemma":0.004318018,"threshold_uncertainty_score":0.464994},"labels":[],"label_agreement":null},{"id":"W6995875855","doi":"","title":"Power Co. of Canada (TSE:POW) Stock Price Passes Above 200 Day Moving Average of $24.54","year":2020,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Moving average; Power (physics); Stock price","score_opus":0.014846819771515765,"score_gpt":0.19104404731096972,"score_spread":0.17619722753945394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995875855","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015913676,0.00076412206,0.00048295176,0.00454901,0.0008664626,0.0001580325,0.04850546,0.0008714771,0.9422112],"genre_scores_gemma":[0.004055469,0.00067929435,0.00023474765,0.00057092175,0.00006365709,0.00002534559,0.00917061,0.00020292442,0.98499703],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999418,0.000014463377,0.00001194329,0.000046964866,0.0003385478,0.00017002241],"domain_scores_gemma":[0.99810517,0.000037207323,0.00003637555,0.00005661192,0.0013942771,0.0003702904],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004101309,0.0009612528,0.00044375518,0.0014520441,0.0029707784,0.0030425352,0.0006928658,0.0019189342,0.35312605],"category_scores_gemma":[0.0018757347,0.0004056335,0.00043511137,0.0015272356,0.0006775277,0.00097623176,0.0010809138,0.0018926492,0.16667989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018605004,0.000013017651,0.00042461258,0.000031238655,0.0000019447336,0.00002193414,0.000010169745,0.00008009674,0.00006981653,0.002251604,0.9783066,0.01877036],"study_design_scores_gemma":[0.000011994811,0.000010801814,0.004103382,0.0000766093,0.0000029267333,0.000022553204,0.00005040381,0.00027747572,0.00021100805,0.000729378,0.99449277,0.000010779101],"about_ca_topic_score_codex":0.8641163,"about_ca_topic_score_gemma":0.941459,"teacher_disagreement_score":0.8641163,"about_ca_system_score_codex":0.010203996,"about_ca_system_score_gemma":0.029104633,"threshold_uncertainty_score":0.9226872},"labels":[],"label_agreement":null},{"id":"W6996264657","doi":"","title":"Rendements boursiers canadiens : une analyse de facteurs macroéconomiques et financiers","year":2016,"lang":"fr","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Ligne; Context (archaeology); Stock exchange","score_opus":0.02282469840108139,"score_gpt":0.23774304464462356,"score_spread":0.21491834624354217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996264657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93423104,0.009069698,0.008734689,0.0025682384,0.00007744418,0.00007481099,0.011353683,0.0001100434,0.033780295],"genre_scores_gemma":[0.97636783,0.0027501578,0.0024934693,0.000065491426,0.000029434093,0.00002194732,0.0029245769,0.000021679218,0.01532534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994116,0.00008424238,0.00002565849,0.00012644133,0.00024930338,0.000102781574],"domain_scores_gemma":[0.9977817,0.0007942197,0.0006461805,0.00015572029,0.00042545484,0.0001967303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009772205,0.00041529402,0.00043610446,0.002616358,0.0009533337,0.0036320416,0.0005808004,0.0005444436,0.0063208933],"category_scores_gemma":[0.0039097546,0.00020952978,0.00061265944,0.0050743357,0.0006767075,0.0012255628,0.00078413304,0.0007456388,0.00045035334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032285808,0.00006855806,0.7899871,0.00035657609,0.00073549786,0.00072307436,0.0075810542,0.028710969,0.0011113198,0.05868076,0.0072048414,0.10451738],"study_design_scores_gemma":[0.000028750452,0.000051323557,0.88386536,0.00031134658,0.00041121017,0.00020768744,0.005281065,0.024021957,0.0018290121,0.008706731,0.07517794,0.000107685184],"about_ca_topic_score_codex":0.86367494,"about_ca_topic_score_gemma":0.86153644,"teacher_disagreement_score":0.13632506,"about_ca_system_score_codex":0.010478757,"about_ca_system_score_gemma":0.0061081396,"threshold_uncertainty_score":0.27425575},"labels":[],"label_agreement":null},{"id":"W6996347076","doi":"","title":"SCANA Reduces Quarterly Dividend Rate by 80 Percent and Declares Dividend on Common Stock for Second Quarter 2018","year":2018,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dividend; Stock (firearms); Quarter (Canadian coin); Common stock; Interest rate","score_opus":0.027226056571490194,"score_gpt":0.23328894131038652,"score_spread":0.20606288473889633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996347076","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22344631,0.004125525,0.0059648575,0.010057829,0.001562561,0.0005353364,0.025760435,0.012028179,0.71651894],"genre_scores_gemma":[0.3166031,0.0031498985,0.0062010596,0.0023525124,0.0005765255,0.0002918641,0.032323718,0.0014720438,0.6370293],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999678,0.000028898468,0.000011979105,0.00003805587,0.00016565228,0.00007736331],"domain_scores_gemma":[0.9991596,0.00009021987,0.00010604295,0.00012334382,0.00033419885,0.00018666558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047298992,0.00033802696,0.00033606592,0.0007992914,0.00036109574,0.0010334782,0.0006497115,0.0006304519,0.07949877],"category_scores_gemma":[0.0019673167,0.00012983024,0.0004867314,0.00045514165,0.00030005342,0.00041576993,0.00068786036,0.00079426554,0.028102404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033589238,0.0023064774,0.01868554,0.00037736195,0.00010871715,0.0005286915,0.00012016002,0.0009278909,0.016175693,0.007349306,0.56460065,0.38546073],"study_design_scores_gemma":[0.0012074847,0.0011830372,0.044925433,0.00020088447,0.00014978579,0.0009140731,0.00024825707,0.004099475,0.032189652,0.006418474,0.9084068,0.000056611836],"about_ca_topic_score_codex":0.005691579,"about_ca_topic_score_gemma":0.0118665155,"teacher_disagreement_score":0.07949877,"about_ca_system_score_codex":0.0006211572,"about_ca_system_score_gemma":0.0018126519,"threshold_uncertainty_score":0.26594985},"labels":[],"label_agreement":null},{"id":"W6996529212","doi":"","title":"Short Term Momentum: Role of Investor Sentiment in Return &#13;\\nFormation","year":2012,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Term (time); Capital asset pricing model; Momentum (technical analysis); Order (exchange); Persistence (discontinuity); Database transaction; Trading strategy; Variable (mathematics)","score_opus":0.028338594383163846,"score_gpt":0.24255129703312295,"score_spread":0.2142127026499591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996529212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99457693,0.00024161498,0.00039874535,0.00022657444,0.000012005279,0.000009316611,0.0020001933,0.000021485735,0.0025131495],"genre_scores_gemma":[0.99720025,0.000098557095,0.00012403942,0.000018894993,0.000022161848,0.0000041501407,0.0017179848,0.000005991742,0.0008081632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996685,0.0000440826,0.000039845178,0.00006189242,0.00010858626,0.00007721302],"domain_scores_gemma":[0.9931907,0.0018303616,0.003693645,0.0002934806,0.000571961,0.00041984025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011809792,0.00021899829,0.0002741194,0.0009177449,0.00015570225,0.0013034057,0.0002649755,0.0003882161,0.0024031845],"category_scores_gemma":[0.007267971,0.00011016896,0.00025537357,0.0014259802,0.00026785338,0.00080322206,0.00041940575,0.0005540462,0.00077708677],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009560396,0.000028785398,0.9877565,0.000009479408,0.000034991743,0.000099671364,0.00008685319,0.00052431104,0.0002620137,0.0004044235,0.0012742903,0.00942304],"study_design_scores_gemma":[0.000003898248,0.000042206768,0.99438864,0.000007883348,0.000015610252,0.00006562423,0.00007513974,0.0040664594,0.0002553505,0.0002740896,0.0007982778,0.0000068328945],"about_ca_topic_score_codex":0.010486618,"about_ca_topic_score_gemma":0.013719906,"teacher_disagreement_score":0.010486618,"about_ca_system_score_codex":0.0005134042,"about_ca_system_score_gemma":0.00021916875,"threshold_uncertainty_score":0.020851135},"labels":[],"label_agreement":null},{"id":"W6996696445","doi":"","title":"Shares of Tencent open 7 percent higher after first quarter profit beats","year":2018,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Profit (economics); Profit margin; Payment","score_opus":0.03603132584167483,"score_gpt":0.2304770408164128,"score_spread":0.19444571497473795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996696445","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6006591,0.0013586453,0.0016895678,0.005622531,0.0012550903,0.00008785941,0.05012956,0.0011228905,0.33807477],"genre_scores_gemma":[0.555807,0.0005054243,0.00027873687,0.00079395965,0.0006361613,0.000041854393,0.03795611,0.0002460424,0.4037347],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993774,0.000028634657,0.000015957785,0.00007334213,0.00023821367,0.00026637354],"domain_scores_gemma":[0.9984946,0.00009518074,0.00036179542,0.00008143663,0.0004331954,0.0005337193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044954894,0.00028695446,0.00030750784,0.0013221564,0.00068851287,0.002345558,0.00064696255,0.00065021485,0.04731028],"category_scores_gemma":[0.002117101,0.0001096348,0.0004468113,0.0010593795,0.00034513834,0.0011554682,0.0012823958,0.0013977322,0.015958786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014807165,0.0006471221,0.21085748,0.0002158406,0.00013736958,0.00095009647,0.0012284999,0.001046443,0.0055442713,0.03978522,0.5881524,0.14995453],"study_design_scores_gemma":[0.00012884739,0.0002746001,0.57369924,0.000108614884,0.00005437183,0.00052710023,0.003594244,0.002551591,0.00716008,0.0075479364,0.40429762,0.000055801695],"about_ca_topic_score_codex":0.018905973,"about_ca_topic_score_gemma":0.022681268,"teacher_disagreement_score":0.04731028,"about_ca_system_score_codex":0.0009041085,"about_ca_system_score_gemma":0.0007803444,"threshold_uncertainty_score":0.15826869},"labels":[],"label_agreement":null},{"id":"W6996881945","doi":"","title":"Timing blant investorer i norske aksjefond : en kvantitativ analyse av investorer i norske aksjefond","year":2014,"lang":"no","type":"dissertation","venue":"Duo Research Archive (University of Oslo)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Order (exchange); Quarter (Canadian coin)","score_opus":0.053396280522172754,"score_gpt":0.27085227630376874,"score_spread":0.21745599578159597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996881945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83838725,0.015356454,0.0039610043,0.009592866,0.0005207886,0.00017944945,0.0463159,0.00009343603,0.08559283],"genre_scores_gemma":[0.8608012,0.007624144,0.002572598,0.001125088,0.0003938801,0.00024422727,0.031256024,0.00015092133,0.09583188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974936,0.0005072917,0.00030714384,0.00043544546,0.0009077609,0.00034869704],"domain_scores_gemma":[0.9908828,0.0032200972,0.003653077,0.00043870503,0.0011597708,0.00064554287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032570658,0.00028991638,0.0004754383,0.0016302647,0.00047487422,0.0034102045,0.00068354345,0.00068420003,0.017837824],"category_scores_gemma":[0.010436258,0.00023002875,0.00078607106,0.0038993226,0.00041454053,0.0016506009,0.00171552,0.0014169377,0.0031889766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008515641,0.00020042622,0.80358464,0.0009417114,0.0005418516,0.00049776165,0.0056604026,0.0017040672,0.0005514285,0.017638829,0.05602351,0.11180379],"study_design_scores_gemma":[0.000035742418,0.00019273325,0.8282623,0.00085295906,0.0003391195,0.00016668954,0.0062350426,0.0009766654,0.0011744713,0.0029030102,0.15880269,0.000058514655],"about_ca_topic_score_codex":0.037640724,"about_ca_topic_score_gemma":0.037751406,"teacher_disagreement_score":0.037640724,"about_ca_system_score_codex":0.0022523853,"about_ca_system_score_gemma":0.0021296812,"threshold_uncertainty_score":0.07484323},"labels":[],"label_agreement":null},{"id":"W6997007952","doi":"","title":"The Top 5 Companies Added to Our Stock Market Watchlist this Quarter","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Stock market; Stock (firearms); Order (exchange); Stock exchange","score_opus":0.02397979553024325,"score_gpt":0.21911674825332203,"score_spread":0.1951369527230788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997007952","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007760953,0.004369156,0.00070407486,0.011790389,0.009029533,0.00018161602,0.034594897,0.0021828879,0.92938656],"genre_scores_gemma":[0.005744902,0.0014349947,0.00034345215,0.0013771142,0.0013774182,0.00004209454,0.011705079,0.00031439698,0.9776604],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929833,0.000028807408,0.000025399815,0.00004980228,0.00045311512,0.00014448995],"domain_scores_gemma":[0.9981902,0.000070740505,0.0001370412,0.00007240985,0.00077868556,0.00075081585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000496087,0.0009895548,0.00052306923,0.0035809898,0.0009916533,0.0041179,0.0005711262,0.0013283589,0.29537842],"category_scores_gemma":[0.0024971543,0.00029709132,0.0005389708,0.0022313644,0.00028867964,0.001762077,0.0017105916,0.0014303861,0.22611432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001731053,0.000027297616,0.0008461926,0.00003630293,0.000002339854,0.000019268062,0.0000069369516,0.000027958582,0.0001344778,0.0008297743,0.9617647,0.0362874],"study_design_scores_gemma":[0.00002188829,0.000031055584,0.010667323,0.0001007576,0.0000075564885,0.000046545807,0.000065124696,0.0003085321,0.00041315518,0.0008920583,0.9874342,0.000011838426],"about_ca_topic_score_codex":0.010147266,"about_ca_topic_score_gemma":0.03487274,"teacher_disagreement_score":0.29537842,"about_ca_system_score_codex":0.0010266164,"about_ca_system_score_gemma":0.0025492616,"threshold_uncertainty_score":0.9881393},"labels":[],"label_agreement":null},{"id":"W6997071389","doi":"","title":"Third quarter 2023: Weak profitability due to weak markets and one-offs - Elkem","year":2023,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Quarter (Canadian coin); Productivity; Term (time)","score_opus":0.025798600273706816,"score_gpt":0.2202640056235727,"score_spread":0.1944654053498659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997071389","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035878737,0.005349777,0.001688953,0.10503318,0.00800225,0.00008651555,0.02058118,0.00089430687,0.82248515],"genre_scores_gemma":[0.15951772,0.0027621826,0.0007955852,0.015405215,0.0015720231,0.00009727445,0.010077426,0.0005167945,0.8092558],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991653,0.000056429522,0.000021433147,0.000050084356,0.0003953569,0.0003114277],"domain_scores_gemma":[0.9984359,0.00012593756,0.0002475117,0.00007971102,0.00053498533,0.0005758948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001229855,0.00041971033,0.00035657355,0.0007727396,0.0010454103,0.0058602635,0.0007694608,0.0025218404,0.065691896],"category_scores_gemma":[0.004666551,0.00014534776,0.00034588506,0.0007181167,0.0005688545,0.0016780635,0.0019404469,0.0026828197,0.021420673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012840505,0.000050126237,0.0053740535,0.00004965539,0.000009048879,0.00026273137,0.00005160518,0.00044501005,0.00013865122,0.026231866,0.91088444,0.05637445],"study_design_scores_gemma":[0.000032705244,0.00003546436,0.023275536,0.00019586652,0.000009865394,0.0003131237,0.0004586515,0.00204509,0.00064561015,0.023401268,0.94956183,0.000024950652],"about_ca_topic_score_codex":0.03582853,"about_ca_topic_score_gemma":0.055578265,"teacher_disagreement_score":0.065691896,"about_ca_system_score_codex":0.0033487265,"about_ca_system_score_gemma":0.004750763,"threshold_uncertainty_score":0.21976125},"labels":[],"label_agreement":null},{"id":"W6997086011","doi":"","title":"Toy Stocks; Hasbro (HAS) Gains on Financial Results for the Second Quarter 2015","year":2015,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Work (physics); Term (time); Payment","score_opus":0.06765733214186478,"score_gpt":0.254535812236763,"score_spread":0.18687848009489824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997086011","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005221036,0.011624896,0.0020922807,0.025837827,0.006793445,0.000105060346,0.026665522,0.0013828315,0.9202772],"genre_scores_gemma":[0.032263175,0.0048090485,0.0015763616,0.001622202,0.0014284618,0.000051103834,0.010630563,0.00049577357,0.9471232],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989698,0.00009714115,0.000037670292,0.00009899457,0.00062407175,0.00017242401],"domain_scores_gemma":[0.99787843,0.00020504286,0.00014154645,0.00021065352,0.0008411641,0.0007232264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022832083,0.0008481704,0.00062813296,0.0022076871,0.0008279454,0.0045562848,0.00056328136,0.0013666189,0.18887094],"category_scores_gemma":[0.0049164277,0.00017996192,0.0003875114,0.0015565975,0.00039245066,0.0019823876,0.0017536886,0.0015169487,0.07084017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007308427,0.000060239552,0.0005237933,0.000051291077,0.000011037275,0.00002531218,0.000017967006,0.00021669423,0.000089338304,0.011405771,0.9262593,0.0612661],"study_design_scores_gemma":[0.000040171577,0.00005333479,0.005223509,0.00020683181,0.000015691649,0.000036527068,0.00006662349,0.00084758346,0.00070853106,0.015137812,0.9776439,0.000019422594],"about_ca_topic_score_codex":0.009370075,"about_ca_topic_score_gemma":0.032138254,"teacher_disagreement_score":0.18887094,"about_ca_system_score_codex":0.0025683516,"about_ca_system_score_gemma":0.0028699602,"threshold_uncertainty_score":0.63183624},"labels":[],"label_agreement":null},{"id":"W6997093165","doi":"","title":"Traders Buy Large Volume of Call Options on iShares MSCI Canada ETF (NYSEARCA:EWC)","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Measure (data warehouse); Work (physics); Term (time)","score_opus":0.027658237006782483,"score_gpt":0.20349366751316297,"score_spread":0.17583543050638048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997093165","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08684713,0.00043272166,0.0024440242,0.0013475936,0.00028023482,0.00029566136,0.009904917,0.0021796555,0.896268],"genre_scores_gemma":[0.15113795,0.0002899986,0.0016887721,0.00033066084,0.00015202603,0.000041041447,0.0056361463,0.00041073855,0.8403126],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99956816,0.00002262334,0.00000695208,0.000035412544,0.00025656674,0.00011028296],"domain_scores_gemma":[0.99914086,0.00016455582,0.00004601316,0.00009100646,0.0003479704,0.00020971618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005271236,0.00045932079,0.00040944957,0.0009854542,0.0019535972,0.002506939,0.0007002445,0.0010365893,0.20315516],"category_scores_gemma":[0.0017798786,0.00023440455,0.00032668922,0.001064629,0.00036687066,0.0010370846,0.0009411146,0.00075812585,0.05052394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013655161,0.00056915014,0.014519294,0.00011117264,0.000044834393,0.00081012247,0.00057089486,0.002525321,0.0077656615,0.013505467,0.71658427,0.24162832],"study_design_scores_gemma":[0.00049613445,0.00039949862,0.10194244,0.00021226115,0.000056674737,0.0004764976,0.0016854622,0.02632059,0.01842632,0.011374093,0.8384208,0.00018934597],"about_ca_topic_score_codex":0.16981587,"about_ca_topic_score_gemma":0.3479071,"teacher_disagreement_score":0.8301841,"about_ca_system_score_codex":0.0028529018,"about_ca_system_score_gemma":0.0023243763,"threshold_uncertainty_score":0.6796217},"labels":[],"label_agreement":null},{"id":"W6997616500","doi":"","title":"Where to Hide in Bad Times: Or Should One Still Diversify Internationally?","year":2016,"lang":"en","type":"article","venue":"Open Repository and Bibliography (University of Luxembourg)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stylized fact; Equity (law); Portfolio; International investment; Portfolio investment; Index (typography)","score_opus":0.046312820941314926,"score_gpt":0.22801566821029037,"score_spread":0.18170284726897545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997616500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6032829,0.012349214,0.046449512,0.20605849,0.0012418579,0.00006834173,0.00075917377,0.00043902546,0.12935142],"genre_scores_gemma":[0.9813461,0.0025470664,0.003567991,0.003191716,0.00025965399,0.00001749746,0.00007862403,0.00005932748,0.008932112],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999553,0.00014619472,0.000015811014,0.00006580589,0.0000543619,0.00016475486],"domain_scores_gemma":[0.9972408,0.000641121,0.0007068538,0.0003156209,0.00023289077,0.0008627781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019089535,0.00032059097,0.00068598415,0.00045614762,0.0009862614,0.004826061,0.0005656405,0.0018430584,0.014519421],"category_scores_gemma":[0.007994179,0.00013584307,0.0003232657,0.000639843,0.0018422639,0.007978584,0.0014398353,0.0018512865,0.0019433239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011026234,0.0003819852,0.06434255,0.00040740016,0.00029903406,0.0015238611,0.003967439,0.012249525,0.003919396,0.37296224,0.059868388,0.47897547],"study_design_scores_gemma":[0.00007996343,0.0002800076,0.027118053,0.0005644831,0.00014639643,0.00069800747,0.010074565,0.011261145,0.002009323,0.88741624,0.0602339,0.00011794118],"about_ca_topic_score_codex":0.0015226362,"about_ca_topic_score_gemma":0.0020710072,"teacher_disagreement_score":0.014519421,"about_ca_system_score_codex":0.0007294581,"about_ca_system_score_gemma":0.0010635853,"threshold_uncertainty_score":0.048572302},"labels":[],"label_agreement":null},{"id":"W6998375693","doi":"","title":"AltaGas Reports Second Quarter Earnings and on Track to Add $1.8 Billion of New Assets in 2012","year":2012,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Track (disk drive); Quarter (Canadian coin); Payment","score_opus":0.024968874659652553,"score_gpt":0.2203569772967819,"score_spread":0.19538810263712933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998375693","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051372056,0.0023338278,0.00095694,0.0075328294,0.0014371091,0.00014896494,0.27073845,0.0031543383,0.70856035],"genre_scores_gemma":[0.012168875,0.0024614832,0.0009820529,0.0006555213,0.00036115496,0.00012209264,0.10947696,0.0007514026,0.8730205],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954444,0.000029359795,0.000019700221,0.000041906864,0.0002689815,0.000095712494],"domain_scores_gemma":[0.9987947,0.00010957294,0.00014672425,0.00007491198,0.0007162198,0.00015797144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005306071,0.0006128942,0.00032252228,0.0027604774,0.00067972887,0.0030392422,0.0007061731,0.000783724,0.2508874],"category_scores_gemma":[0.0024054435,0.00023462254,0.00037266506,0.0029482252,0.00021330996,0.0017342963,0.0012440219,0.0012524645,0.101997264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032625194,0.000021970109,0.0006687616,0.0000716944,0.000002771555,0.000021851674,0.000020286541,0.000056813245,0.000050754265,0.0014639179,0.97707224,0.02051617],"study_design_scores_gemma":[0.000015544747,0.000013767271,0.007116086,0.00006670692,0.0000050007375,0.000024946527,0.00008643991,0.00015511419,0.00022313683,0.00045217475,0.99183196,0.000009136158],"about_ca_topic_score_codex":0.07635045,"about_ca_topic_score_gemma":0.09236059,"teacher_disagreement_score":0.2508874,"about_ca_system_score_codex":0.0012918893,"about_ca_system_score_gemma":0.0018755704,"threshold_uncertainty_score":0.83930194},"labels":[],"label_agreement":null},{"id":"W6998616854","doi":"","title":"Analyzing Qorvo (NASDAQ:QRVO) and Canadian Solar (NASDAQ:CSIQ)","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Solar energy; Work (physics); Government (linguistics); Process (computing)","score_opus":0.018812866435150573,"score_gpt":0.19341294920758811,"score_spread":0.17460008277243755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998616854","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22324298,0.002263296,0.029714014,0.008557415,0.0004889155,0.0002240507,0.2353768,0.004554971,0.49557757],"genre_scores_gemma":[0.6048875,0.0014272096,0.03580686,0.00074723153,0.00011006603,0.00010037007,0.1502904,0.0029060813,0.20372438],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927074,0.00007069176,0.000015627747,0.000080177335,0.00035639995,0.00020638181],"domain_scores_gemma":[0.9972264,0.0003808574,0.000099477744,0.00028761404,0.001860925,0.00014462735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257201,0.0006505858,0.00033568087,0.0021089208,0.0014424052,0.0023714257,0.0011109695,0.0004955385,0.038876068],"category_scores_gemma":[0.0073185684,0.0002529238,0.0006885651,0.0038837148,0.0004245781,0.0007903023,0.00096633995,0.000669294,0.0040599005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018484927,0.00013270217,0.0760072,0.00019956534,0.00020464617,0.00013123573,0.00041117473,0.05969219,0.000673738,0.05792178,0.6775756,0.12686542],"study_design_scores_gemma":[0.00012242107,0.000024501967,0.16855533,0.00020694574,0.00012383991,0.00007216034,0.0029947066,0.16781619,0.003366387,0.032906983,0.62367094,0.00013964935],"about_ca_topic_score_codex":0.9748018,"about_ca_topic_score_gemma":0.98393667,"teacher_disagreement_score":0.9748018,"about_ca_system_score_codex":0.012706283,"about_ca_system_score_gemma":0.0166125,"threshold_uncertainty_score":0.13005334},"labels":[],"label_agreement":null},{"id":"W6998683903","doi":"","title":"Analysts Set Power Co. of Canada (OTCMKTS:PWCDF) Price Target at $46.86","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Power (physics); Data set; Measure (data warehouse)","score_opus":0.015472077179883876,"score_gpt":0.19568334746117533,"score_spread":0.18021127028129144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998683903","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00076074456,0.0005038381,0.00039287552,0.004536003,0.00079227303,0.00009144379,0.012329035,0.0007323563,0.9798614],"genre_scores_gemma":[0.001393044,0.00016106857,0.00009679993,0.00031688032,0.000048716043,0.00001045926,0.001793774,0.0001306806,0.9960486],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909556,0.000016554242,0.000011609128,0.00006308226,0.00064986805,0.0001634958],"domain_scores_gemma":[0.99805695,0.00007199265,0.000030524883,0.00005336535,0.0013837855,0.0004032139],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051314366,0.0008930856,0.0004963389,0.0020039864,0.002889912,0.004543344,0.00087771076,0.0025652118,0.42755398],"category_scores_gemma":[0.0022633204,0.00041133154,0.0003663389,0.0014970554,0.00077698455,0.0011255088,0.00094841205,0.0024533651,0.26197708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017329592,0.000011007377,0.00013579788,0.000016079488,9.699678e-7,0.00001379892,0.000011463766,0.0000553066,0.00009815486,0.0028646805,0.9857852,0.010990087],"study_design_scores_gemma":[0.000009756817,0.0000068572926,0.0013491736,0.000029313962,0.0000015533756,0.000010939347,0.000046887333,0.0002642041,0.00021427876,0.0008308577,0.9972268,0.000009462622],"about_ca_topic_score_codex":0.689544,"about_ca_topic_score_gemma":0.863887,"teacher_disagreement_score":0.42755398,"about_ca_system_score_codex":0.0094694905,"about_ca_system_score_gemma":0.018184083,"threshold_uncertainty_score":0.81652474},"labels":[],"label_agreement":null},{"id":"W6998718012","doi":"","title":"Analysts Set Power Co. of Canada (OTCMKTS:PWCDF) Price Target at $46.57","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Power (physics); Data set; Measure (data warehouse)","score_opus":0.01545330535011736,"score_gpt":0.19547755241114795,"score_spread":0.1800242470610306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998718012","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007576076,0.0004403621,0.0003635003,0.003908768,0.0007040997,0.000096935764,0.013206788,0.00070338266,0.9798186],"genre_scores_gemma":[0.0015293236,0.00016613262,0.00009966243,0.0003479672,0.00004616039,0.000012282823,0.0021253247,0.00014018311,0.995533],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907136,0.000017313303,0.000012427613,0.00006537525,0.0006449218,0.00018866385],"domain_scores_gemma":[0.9981458,0.0000687369,0.000028130802,0.000053063817,0.001340965,0.0003632905],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005019095,0.00089434034,0.0004924064,0.0019810314,0.0029510763,0.0044633495,0.0008879776,0.0026555804,0.42935658],"category_scores_gemma":[0.0022788437,0.00043390648,0.00041432405,0.0015151477,0.00076908513,0.0011111408,0.0010440412,0.0025203524,0.25613558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018156054,0.000011754042,0.00015971546,0.00001891445,0.0000010090646,0.000016931634,0.000013428031,0.00005863641,0.00010943895,0.0033511212,0.98427236,0.011968571],"study_design_scores_gemma":[0.000009864101,0.0000069996204,0.0014888251,0.000031948264,0.0000016375997,0.000012027741,0.000050802322,0.00024661951,0.00022844232,0.00078447524,0.9971289,0.000009492423],"about_ca_topic_score_codex":0.7135908,"about_ca_topic_score_gemma":0.8689615,"teacher_disagreement_score":0.7135908,"about_ca_system_score_codex":0.009346884,"about_ca_system_score_gemma":0.01907583,"threshold_uncertainty_score":0.8139536},"labels":[],"label_agreement":null},{"id":"W6998749859","doi":"","title":"Big Lots Reports Record Second Quarter Earnings Of $0.67 Per Diluted Share","year":2017,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Measure (data warehouse); Data collection","score_opus":0.029273754385951634,"score_gpt":0.21339397356424414,"score_spread":0.1841202191782925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998749859","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04593712,0.0020386016,0.0020717606,0.004388413,0.0015080926,0.0001366019,0.21489212,0.0051350095,0.7238922],"genre_scores_gemma":[0.1577462,0.002786958,0.001443057,0.0010160196,0.001323307,0.0001159598,0.21836658,0.0015488587,0.61565304],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917066,0.00005082112,0.00004030451,0.00008272646,0.00055266806,0.00010291204],"domain_scores_gemma":[0.99726236,0.00046054923,0.00055279036,0.00029177268,0.0011737958,0.00025869923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074047316,0.0006926463,0.00023808931,0.003156844,0.00055477355,0.0028453588,0.0008683653,0.0007220196,0.1152956],"category_scores_gemma":[0.004218513,0.0002912723,0.00037934186,0.0030628534,0.00043658464,0.0018106134,0.0013360147,0.0008858158,0.048507467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013198372,0.0000646694,0.010412447,0.0001464411,0.000020116162,0.000104925966,0.0001043663,0.0003129122,0.00044510324,0.0071964455,0.9412019,0.039858636],"study_design_scores_gemma":[0.00004933668,0.00006519619,0.048809804,0.00020103532,0.000027481245,0.00026165694,0.00046262422,0.0016357427,0.0042394185,0.0050147735,0.93917996,0.00005295411],"about_ca_topic_score_codex":0.009093502,"about_ca_topic_score_gemma":0.0133150015,"teacher_disagreement_score":0.1152956,"about_ca_system_score_codex":0.00070102874,"about_ca_system_score_gemma":0.00084420864,"threshold_uncertainty_score":0.3857022},"labels":[],"label_agreement":null},{"id":"W6998984607","doi":"","title":"Bristow Group Reports Third Quarter Fiscal Year 2021 Results \\n\\tTamar Securities Financial Portal Home","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Fiscal year; Group (periodic table); Debt; Broker-dealer; Financial analysis","score_opus":0.013054224984383358,"score_gpt":0.19317560343565263,"score_spread":0.18012137845126927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998984607","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001591247,0.001163366,0.0004220887,0.005411476,0.0062307357,0.00036461352,0.13076822,0.0020833106,0.8519649],"genre_scores_gemma":[0.0013043163,0.00043690772,0.00021578396,0.00058982294,0.00038800683,0.00009875316,0.028611457,0.00034305776,0.968012],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895346,0.00005412889,0.000032073243,0.00008484881,0.0006807973,0.00019472052],"domain_scores_gemma":[0.99789006,0.00013208826,0.00011127744,0.0001325691,0.0010067868,0.0007272779],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015462862,0.0012814763,0.00083001103,0.0026001662,0.0014273551,0.0061016004,0.0010288174,0.0022435372,0.53957],"category_scores_gemma":[0.0028894823,0.00038668,0.0007774579,0.0017793137,0.00026443772,0.0015627412,0.0016259234,0.0018828139,0.5539236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002330107,0.000021622305,0.00009345849,0.000018053557,0.0000012681197,0.0000048945863,0.0000021379074,0.0000200542,0.000027011905,0.00034863703,0.99318177,0.0062578456],"study_design_scores_gemma":[0.000030723317,0.00003183776,0.0020671322,0.00006805366,0.0000048615007,0.000007462164,0.000026324697,0.0001276257,0.00018897398,0.0006572463,0.99677986,0.000009942253],"about_ca_topic_score_codex":0.026057402,"about_ca_topic_score_gemma":0.059316292,"teacher_disagreement_score":0.53957,"about_ca_system_score_codex":0.001780193,"about_ca_system_score_gemma":0.00503495,"threshold_uncertainty_score":0.6567476},"labels":[],"label_agreement":null},{"id":"W6999035163","doi":"","title":"Canadian Stocks Turning In Mixed Performance; TSX Up Marginally","year":2024,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Term (time); Yield (engineering); Order (exchange); Margin (machine learning)","score_opus":0.019860489830125273,"score_gpt":0.19600332712280166,"score_spread":0.17614283729267638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999035163","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0483946,0.0039794357,0.00046122013,0.018492969,0.001064308,0.000104458326,0.073624656,0.0005212372,0.8533572],"genre_scores_gemma":[0.2427808,0.0037734816,0.0008261471,0.0018392181,0.0004691035,0.00006917089,0.023599187,0.0002929137,0.72634983],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920267,0.000034724668,0.000017040495,0.000060402854,0.00040101423,0.00028417163],"domain_scores_gemma":[0.99595547,0.00016411695,0.00019935705,0.00012518051,0.0025985953,0.0009573255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008236655,0.00059983705,0.0003572038,0.003769625,0.004198903,0.0042489446,0.0008143415,0.00084888,0.12913643],"category_scores_gemma":[0.0050645927,0.00021122576,0.00050625025,0.0049576983,0.0007455194,0.0011608131,0.001245979,0.0012921699,0.012033892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012910004,0.00006445648,0.029892365,0.0000960932,0.000022625749,0.000112673086,0.00039723972,0.00067370804,0.00007879431,0.020016117,0.8605973,0.087919496],"study_design_scores_gemma":[0.00003448021,0.00003628929,0.27619085,0.00035323872,0.000056492372,0.00010928714,0.0038910732,0.0024250099,0.00047362148,0.007349938,0.7090059,0.0000738919],"about_ca_topic_score_codex":0.9828689,"about_ca_topic_score_gemma":0.9909088,"teacher_disagreement_score":0.12913643,"about_ca_system_score_codex":0.029219327,"about_ca_system_score_gemma":0.03324867,"threshold_uncertainty_score":0.4320044},"labels":[],"label_agreement":null},{"id":"W6999060143","doi":"","title":"Canadian Investors! How to Get Paid on Weekends Without Lifting a Finger By The Motley Fool","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Motley; Cripple; Work (physics)","score_opus":0.023569227905612826,"score_gpt":0.19619815681436256,"score_spread":0.17262892890874973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999060143","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00048950367,0.0022961006,0.00035265464,0.027305748,0.003646771,0.00006349956,0.004286358,0.0008423561,0.9607171],"genre_scores_gemma":[0.0013813208,0.00055645255,0.0001704492,0.001327706,0.00014647888,0.000008800911,0.00037825582,0.00015394382,0.99587655],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987159,0.000048249247,0.000014063176,0.0000561881,0.0007865214,0.00037913787],"domain_scores_gemma":[0.99727696,0.0000897131,0.000036015714,0.00008609616,0.0015027277,0.0010084873],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010143656,0.00097623223,0.00044541134,0.0015714234,0.005977825,0.0070933816,0.0009961729,0.003164738,0.43963367],"category_scores_gemma":[0.0037466004,0.00046034844,0.0005528171,0.0018921485,0.0010910404,0.002348891,0.001956651,0.0024672623,0.18254767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031494158,0.000002367058,0.00005317859,0.000005830506,3.502987e-7,0.00000733208,0.00001625623,0.000009273384,0.000011102618,0.0014636678,0.9914315,0.00699583],"study_design_scores_gemma":[0.0000034615027,0.0000017478752,0.0005135674,0.000025698388,9.1567216e-7,0.000009168742,0.000112317786,0.000032011943,0.000029332557,0.00048942555,0.9987753,0.00000717229],"about_ca_topic_score_codex":0.9117385,"about_ca_topic_score_gemma":0.9729338,"teacher_disagreement_score":0.43963367,"about_ca_system_score_codex":0.016837649,"about_ca_system_score_gemma":0.032376494,"threshold_uncertainty_score":0.7992946},"labels":[],"label_agreement":null},{"id":"W6999118783","doi":"","title":"Canadian Solar Inc. (NASDAQ:CSIQ) Shares Acquired by Guinness Asset Management LTD","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Asset management; Asset (computer security); Risk management; Investment management; Work (physics)","score_opus":0.014547856695441966,"score_gpt":0.1938916351884671,"score_spread":0.17934377849302513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999118783","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00147447,0.0017932692,0.0011388748,0.003965522,0.0008137603,0.0000962735,0.022002785,0.0012195689,0.9674955],"genre_scores_gemma":[0.005689851,0.0009649753,0.00065501896,0.00019754891,0.00007071311,0.0000148148265,0.006508126,0.0003705634,0.9855284],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989796,0.000027018566,0.000018325665,0.00009713053,0.0007219123,0.00015592303],"domain_scores_gemma":[0.9968918,0.00006588749,0.00007877147,0.00015466362,0.0022669702,0.00054191187],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007394376,0.001036887,0.00063482026,0.002481323,0.0023466595,0.004324608,0.0010626004,0.0010534318,0.35990387],"category_scores_gemma":[0.0022775994,0.00041009448,0.0003742672,0.0034661994,0.0007228619,0.001578114,0.0012984872,0.0015704078,0.15718395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032725617,0.000014989697,0.00038950698,0.000045995763,0.0000028573788,0.000027175909,0.000024757872,0.00021020544,0.00018755849,0.009184593,0.93675977,0.053119846],"study_design_scores_gemma":[0.0000066465705,0.0000061053115,0.0014418453,0.000035810946,0.0000018948867,0.000021960253,0.000044851025,0.0004012237,0.00025248932,0.0010178058,0.9967629,0.0000065869267],"about_ca_topic_score_codex":0.7044532,"about_ca_topic_score_gemma":0.8241002,"teacher_disagreement_score":0.35990387,"about_ca_system_score_codex":0.016847085,"about_ca_system_score_gemma":0.025551476,"threshold_uncertainty_score":0.9130194},"labels":[],"label_agreement":null},{"id":"W6999948463","doi":"","title":"-$0.22 Earnings Per Share Expected for American Superconductor Co. (NASDAQ:AMSC) This Quarter","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Value (mathematics); Measure (data warehouse)","score_opus":0.03461052379665899,"score_gpt":0.24163501862828363,"score_spread":0.20702449483162463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999948463","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005551337,0.00048802007,0.00048283173,0.001960676,0.0011272139,0.00010317428,0.025145132,0.0011999485,0.9639417],"genre_scores_gemma":[0.009519557,0.0003915354,0.0001744376,0.00032819752,0.00020493058,0.000038414244,0.010198244,0.00018374009,0.978961],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997259,0.000017838385,0.000010924433,0.000031077634,0.00015649924,0.00005769196],"domain_scores_gemma":[0.9995459,0.000027013857,0.000034390952,0.000033586566,0.00025739966,0.00010167687],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002944775,0.0007223471,0.00024823673,0.00144879,0.00094892905,0.0018307683,0.00049429614,0.0008183838,0.38009354],"category_scores_gemma":[0.0011964593,0.000170777,0.00033451675,0.00081022864,0.00027008465,0.0007195923,0.0008844223,0.000771873,0.26888165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006381184,0.00004609719,0.0007186035,0.0000397626,0.0000025241657,0.000028208764,0.000012819345,0.00012958457,0.00033744265,0.0033862884,0.95962554,0.035609275],"study_design_scores_gemma":[0.0000377456,0.00006617784,0.007961809,0.00006849762,0.000004322207,0.00007729901,0.000059078495,0.00048873905,0.0007848548,0.0013546728,0.9890864,0.0000104447745],"about_ca_topic_score_codex":0.021666728,"about_ca_topic_score_gemma":0.029934863,"teacher_disagreement_score":0.6199064,"about_ca_system_score_codex":0.0012652508,"about_ca_system_score_gemma":0.0014346138,"threshold_uncertainty_score":0.8842213},"labels":[],"label_agreement":null},{"id":"W7000037293","doi":"","title":"$0.65 Earnings Per Share Expected for Enphase Energy, Inc. (NASDAQ:ENPH) This Quarter","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Duration (music); Measure (data warehouse)","score_opus":0.021587197600123592,"score_gpt":0.21175890759587998,"score_spread":0.1901717099957564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000037293","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029203454,0.00043508908,0.00050531904,0.001731094,0.00087481993,0.00011349879,0.028912846,0.0012310055,0.96327585],"genre_scores_gemma":[0.005036131,0.0003178954,0.00018334547,0.0002954474,0.000121168014,0.00003675824,0.009442021,0.00016362105,0.9844036],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997354,0.000017498867,0.000010320246,0.00003207916,0.00015113268,0.0000534528],"domain_scores_gemma":[0.99964416,0.000018206154,0.000025649779,0.000026653803,0.00020356807,0.000081768034],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030893742,0.0007608286,0.00023933107,0.0013187935,0.0008683346,0.0018023229,0.0005795391,0.00086507545,0.37257776],"category_scores_gemma":[0.0011085412,0.00020542191,0.0003104456,0.00084283424,0.0002504359,0.00070196,0.0008748414,0.00078886666,0.28253207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031797266,0.00003586499,0.00037764994,0.000028488044,0.0000016017048,0.000015374804,0.000008253645,0.00010417623,0.00016763197,0.0020727827,0.97227854,0.024878003],"study_design_scores_gemma":[0.000026016456,0.000032077667,0.004152515,0.0000514627,0.000002300706,0.000038140206,0.000042614505,0.00033452993,0.00039897359,0.0009159833,0.99399817,0.0000071991785],"about_ca_topic_score_codex":0.03325612,"about_ca_topic_score_gemma":0.043501645,"teacher_disagreement_score":0.37257776,"about_ca_system_score_codex":0.0014056888,"about_ca_system_score_gemma":0.0016527615,"threshold_uncertainty_score":0.8949417},"labels":[],"label_agreement":null},{"id":"W7000131068","doi":"","title":"DYNAMIC SPECIFICATION TESTS FOR STATIC FACTOR MODELS","year":2009,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Acknowledgement; Economic analysis; Economic model; Applied economics; Work (physics); Static analysis","score_opus":0.0767308346215173,"score_gpt":0.25638420637947235,"score_spread":0.17965337175795504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000131068","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45667014,0.0033559056,0.4652705,0.005999884,0.0022552432,0.0011962479,0.016921803,0.0033467808,0.044983502],"genre_scores_gemma":[0.95404655,0.0007342783,0.022548808,0.0004267868,0.0004980658,0.0008201679,0.010770731,0.00037044697,0.009784227],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9707946,0.019110672,0.0015291432,0.004893055,0.0018654751,0.0018070039],"domain_scores_gemma":[0.72753346,0.24585527,0.009280686,0.010862232,0.0044862786,0.001981986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028654713,0.0025480883,0.0028540916,0.0044933944,0.0017335609,0.0050743115,0.0036153984,0.0024691313,0.09272249],"category_scores_gemma":[0.12872314,0.00097628665,0.006472345,0.0047608423,0.0022469363,0.006559052,0.002512234,0.00430525,0.008644869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054768734,0.0017656159,0.21391772,0.002440749,0.01563715,0.004214345,0.0019211492,0.089216515,0.0020751618,0.23677543,0.071747266,0.3548121],"study_design_scores_gemma":[0.00216898,0.004627923,0.11935032,0.0009010223,0.006326927,0.0013342338,0.0067004957,0.43494,0.0029515573,0.38735834,0.032803893,0.00053630705],"about_ca_topic_score_codex":0.0066882116,"about_ca_topic_score_gemma":0.004484719,"teacher_disagreement_score":0.09272249,"about_ca_system_score_codex":0.0020458058,"about_ca_system_score_gemma":0.0034715976,"threshold_uncertainty_score":0.31018764},"labels":[],"label_agreement":null},{"id":"W7000244518","doi":"","title":"$0.24 EPS Expected for Southern Co (SO) This Quarter","year":2019,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Period (music); Population; Work (physics)","score_opus":0.028622101868609424,"score_gpt":0.21739805085124594,"score_spread":0.18877594898263653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000244518","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014151969,0.00060004386,0.00042533252,0.0032679401,0.0029805372,0.00006109943,0.0052602207,0.0011544334,0.98483527],"genre_scores_gemma":[0.0014277119,0.00017383721,0.00007561626,0.00020246886,0.00012562085,0.000010777623,0.0011544907,0.00011765724,0.99671185],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999706,0.000023574848,0.000010404434,0.000047217804,0.00016076704,0.00005207782],"domain_scores_gemma":[0.9993038,0.000045088862,0.000029943478,0.00006357742,0.00025214898,0.00030545637],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039885571,0.00093686284,0.0003758366,0.0012315765,0.00096406287,0.0034689,0.0005802963,0.0017996527,0.75299174],"category_scores_gemma":[0.001510658,0.00027818742,0.00044723443,0.00071472005,0.00050466176,0.0015485589,0.0020523123,0.0015025366,0.66011333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057809026,0.00002768245,0.00023697314,0.00003864509,0.0000018091587,0.000033817283,0.000009059763,0.0000878163,0.0002655016,0.0020386053,0.9603764,0.036825858],"study_design_scores_gemma":[0.000013729723,0.000026356429,0.0014197605,0.000058803344,0.0000016757184,0.00005026091,0.000044036962,0.00015865247,0.00018047301,0.00074859196,0.9972916,0.0000060021457],"about_ca_topic_score_codex":0.010036059,"about_ca_topic_score_gemma":0.021024166,"teacher_disagreement_score":0.75299174,"about_ca_system_score_codex":0.0013051224,"about_ca_system_score_gemma":0.0018362924,"threshold_uncertainty_score":0.3523273},"labels":[],"label_agreement":null},{"id":"W7000653968","doi":"","title":"Goldman had a below-average quarter trading its own stock","year":2018,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Quarter (Canadian coin); Stock market; Stock exchange","score_opus":0.0324284030119435,"score_gpt":0.21504016066891007,"score_spread":0.18261175765696658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000653968","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3283246,0.0011112986,0.0018110122,0.015855495,0.0018983824,0.00006331448,0.0044527086,0.00081429124,0.6456689],"genre_scores_gemma":[0.44658303,0.000470403,0.0010667843,0.002067891,0.00021292022,0.000013738716,0.0017332718,0.00015694903,0.54769504],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997209,0.00002330563,0.000011089959,0.000034441782,0.000076940174,0.00013328763],"domain_scores_gemma":[0.99915195,0.00011860197,0.000045968405,0.00008380708,0.00028118223,0.00031849206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040463053,0.00036745536,0.00021066118,0.0010365207,0.0017711906,0.0017506375,0.00038604077,0.00081757276,0.035837386],"category_scores_gemma":[0.0016436129,0.00009785173,0.00015825639,0.0006293053,0.00050542597,0.0007682779,0.0006807522,0.0011403266,0.0075380313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006276917,0.000484315,0.089518376,0.00013509365,0.00004308556,0.008639161,0.003929654,0.0009824121,0.002782856,0.108279854,0.50544506,0.27913243],"study_design_scores_gemma":[0.000027383065,0.00022712628,0.088989824,0.00013716023,0.00002542681,0.005553364,0.004537482,0.0023990863,0.00513893,0.021047054,0.871857,0.00006011456],"about_ca_topic_score_codex":0.030341676,"about_ca_topic_score_gemma":0.09406114,"teacher_disagreement_score":0.035837386,"about_ca_system_score_codex":0.0012231114,"about_ca_system_score_gemma":0.0012480933,"threshold_uncertainty_score":0.11988801},"labels":[],"label_agreement":null},{"id":"W7001201601","doi":"","title":"\"I have no story to tell\": exploring the multimodal literacy identities of adolescents","year":2018,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Literacy; Critical literacy; Curriculum; Meaning (existential); Storytelling; Privilege (computing); Discourse analysis; Citizen journalism; Documentation; Australian Curriculum; Qualitative research","score_opus":0.029779344981465537,"score_gpt":0.20473008187618796,"score_spread":0.17495073689472243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001201601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940368,0.00025104042,0.0005906242,0.0010998733,0.00001524076,0.00003146574,0.000017610964,0.000004396389,0.003952849],"genre_scores_gemma":[0.9971649,0.00044551902,0.0006238892,0.00026581882,0.0000060920206,0.000051409686,0.000015799556,0.00000827429,0.0014183358],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9969537,0.0022952862,0.00008006775,0.0001495851,0.00020160287,0.00031972534],"domain_scores_gemma":[0.9966523,0.001928528,0.0004970175,0.00012990713,0.0002975272,0.0004947825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056898957,0.00041456585,0.00045610193,0.0010630687,0.005945864,0.0070489477,0.0010797406,0.0011287793,0.0014059532],"category_scores_gemma":[0.0067064357,0.0005057028,0.00031940907,0.0006040014,0.008498995,0.0046550217,0.005330185,0.0032774704,0.00024242137],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006728575,0.000019665344,0.006104267,0.000021481088,0.0000022735042,0.00025258304,0.9900781,0.0000071680042,0.00019427999,0.0014105111,0.000108222644,0.0017948557],"study_design_scores_gemma":[0.0000011014934,0.0000137357165,0.0023491993,0.00006890367,0.000004740937,0.00013440075,0.9938599,0.000020760575,0.00012344602,0.00023511122,0.003185279,0.0000035285723],"about_ca_topic_score_codex":0.0131683685,"about_ca_topic_score_gemma":0.033779893,"teacher_disagreement_score":0.0131683685,"about_ca_system_score_codex":0.0026819573,"about_ca_system_score_gemma":0.0041101775,"threshold_uncertainty_score":0.030091345},"labels":[],"label_agreement":null},{"id":"W7001296472","doi":"","title":"Insiders Scoop Up Shares of These 5 Stocks for the Second Quarter","year":2024,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"SCOOP; Quarter (Canadian coin); Investment (military); Productivity","score_opus":0.04470477326459921,"score_gpt":0.2390937647018292,"score_spread":0.19438899143722999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001296472","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3364735,0.0007082165,0.004721641,0.0027161518,0.00072344515,0.00051648164,0.019526554,0.006039007,0.62857497],"genre_scores_gemma":[0.46350104,0.0004254322,0.005016741,0.00061320106,0.00062204525,0.00012335091,0.016449977,0.00088846456,0.51235974],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943155,0.00002862534,0.000021246435,0.00006509977,0.00033776616,0.000115716684],"domain_scores_gemma":[0.99799854,0.00026240447,0.00038513928,0.00039430158,0.0005455607,0.0004139923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006324976,0.0004929573,0.00025927564,0.0021297946,0.0008041813,0.0015478862,0.00059017073,0.00052803,0.07158107],"category_scores_gemma":[0.0038125338,0.00026696385,0.0005171588,0.0011188675,0.00019381283,0.0010552795,0.0010710934,0.0006538358,0.027393369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007409167,0.0002933615,0.07489639,0.00010450739,0.0001100573,0.00059423584,0.00066718063,0.002087144,0.006280908,0.010550989,0.5672797,0.33639458],"study_design_scores_gemma":[0.0002149638,0.0006393284,0.24144416,0.00016590976,0.00010316732,0.0007872165,0.0021111174,0.026671331,0.018651335,0.009669807,0.6994012,0.0001404761],"about_ca_topic_score_codex":0.013039733,"about_ca_topic_score_gemma":0.027068619,"teacher_disagreement_score":0.07158107,"about_ca_system_score_codex":0.00076273317,"about_ca_system_score_gemma":0.0008639548,"threshold_uncertainty_score":0.2394625},"labels":[],"label_agreement":null},{"id":"W7001330277","doi":"","title":"Investors Profiting with Solar Stocks as Residential and Commercial Solar see Bullish 1st Quarter","year":2019,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Solar energy; Photovoltaic system; Investment (military)","score_opus":0.017246689432749603,"score_gpt":0.20029565000877866,"score_spread":0.18304896057602907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001330277","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08921861,0.01431778,0.0016630789,0.027846025,0.0016503137,0.00004858998,0.008777992,0.000532869,0.8559447],"genre_scores_gemma":[0.2208131,0.0043746266,0.0003820405,0.0014828421,0.0005130051,0.000012222177,0.0021276495,0.00009169509,0.7702028],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998667,0.000012804784,0.000004546195,0.000017893039,0.000070021415,0.000028034823],"domain_scores_gemma":[0.99964225,0.000050590545,0.000079219346,0.0000216942,0.00014558251,0.00006052777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003384623,0.00021040846,0.00014618965,0.00060645596,0.00052332727,0.0022653318,0.00020501157,0.00092245045,0.052949723],"category_scores_gemma":[0.0013786067,0.0001035685,0.00018034292,0.0006852559,0.00022940345,0.0013930339,0.00046690126,0.0006875248,0.007245522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023608585,0.000102809194,0.017190373,0.00014318607,0.00003203004,0.00022639292,0.00025494976,0.00097621104,0.0009004356,0.07030352,0.74526227,0.16437174],"study_design_scores_gemma":[0.00005519111,0.0001398672,0.078700975,0.00033366558,0.000058940255,0.00027940632,0.0009402006,0.0051860204,0.0038827574,0.028898004,0.8814689,0.00005595224],"about_ca_topic_score_codex":0.016447999,"about_ca_topic_score_gemma":0.057025723,"teacher_disagreement_score":0.052949723,"about_ca_system_score_codex":0.0014139136,"about_ca_system_score_gemma":0.0006434326,"threshold_uncertainty_score":0.17713445},"labels":[],"label_agreement":null},{"id":"W7001419816","doi":"","title":"IPG PHOTONICS : ANNOUNCES FOURTH QUARTER 2021 FINANCIAL RESULTS AND RECORD ANNUAL REVENUE - Form 8-K","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; Financial management; Corporation; Financial analysis","score_opus":0.015140166947720595,"score_gpt":0.19969290051539337,"score_spread":0.18455273356767277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001419816","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002283849,0.00041409524,0.0015970878,0.010406735,0.0064666457,0.00025300754,0.013142844,0.0031020811,0.9623337],"genre_scores_gemma":[0.0040605497,0.0001774218,0.0005150445,0.0018025275,0.0006348673,0.00006000565,0.0036952847,0.0004968016,0.98855746],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990741,0.000052813695,0.000014152338,0.0000687321,0.0005779464,0.0002121593],"domain_scores_gemma":[0.99861836,0.0001221441,0.00006972795,0.00008021475,0.0005643707,0.0005450947],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012815814,0.00090552244,0.0004625343,0.0010376006,0.0017361888,0.006293115,0.00094860006,0.003552072,0.3743414],"category_scores_gemma":[0.0030527667,0.00032277114,0.00047861537,0.0006447075,0.0005554768,0.0019105023,0.0013998243,0.0027979307,0.32018137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003829034,0.00002801002,0.00006474724,0.00001130733,0.0000013006348,0.000016753484,0.000003839351,0.000050249408,0.00016102214,0.0019302701,0.98869294,0.009001292],"study_design_scores_gemma":[0.000048193247,0.0000644311,0.0010422656,0.000033190146,0.000004086885,0.00003322685,0.000040398398,0.0008048211,0.00065060856,0.0026479797,0.9946156,0.00001524283],"about_ca_topic_score_codex":0.012421304,"about_ca_topic_score_gemma":0.025214136,"teacher_disagreement_score":0.3743414,"about_ca_system_score_codex":0.0018999929,"about_ca_system_score_gemma":0.0037087714,"threshold_uncertainty_score":0.8924261},"labels":[],"label_agreement":null},{"id":"W7005766292","doi":"","title":"Saga Pure: Financial Results for the Second Quarter of 2021","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payment; Government (linguistics)","score_opus":0.029794580867351237,"score_gpt":0.21530953409606812,"score_spread":0.1855149532287169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7005766292","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00526595,0.018314477,0.0031994616,0.023458464,0.016298503,0.00016828091,0.4231132,0.0043118196,0.50586987],"genre_scores_gemma":[0.032518953,0.008269963,0.0028679902,0.0037685572,0.0029897029,0.00031313728,0.2838237,0.0026096215,0.6628384],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987111,0.00014135739,0.000036204667,0.00009723434,0.00070268253,0.000311396],"domain_scores_gemma":[0.9972886,0.00028944426,0.0001976517,0.0001509468,0.0014279824,0.0006454022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024306157,0.0015245215,0.0010312545,0.0032993301,0.0009501518,0.007150639,0.0013345878,0.0024213146,0.13701391],"category_scores_gemma":[0.005643428,0.00031623425,0.00069842767,0.0038426276,0.00037844214,0.0028272416,0.0023744283,0.0020049994,0.12852173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065926666,0.000021091171,0.00026310328,0.00005444371,0.000006647666,0.000014893808,0.0000055231526,0.00014434756,0.000029968909,0.002232409,0.98290724,0.01425455],"study_design_scores_gemma":[0.00007268929,0.00004394086,0.008734261,0.000234978,0.000015760299,0.00004150829,0.00008189841,0.0012348361,0.00039371118,0.009744571,0.9793736,0.000028358452],"about_ca_topic_score_codex":0.022561807,"about_ca_topic_score_gemma":0.028150462,"teacher_disagreement_score":0.13701391,"about_ca_system_score_codex":0.002584678,"about_ca_system_score_gemma":0.003307018,"threshold_uncertainty_score":0.45835721},"labels":[],"label_agreement":null},{"id":"W7006208312","doi":"","title":"Three Chairs for Supper","year":2007,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Supper; Table (database); Quarter (Canadian coin); Table of contents","score_opus":0.013255066801300853,"score_gpt":0.18350149910370103,"score_spread":0.1702464323024002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7006208312","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00053952396,0.00068410346,0.00093871733,0.010266012,0.019739257,0.00032955757,0.0023829443,0.0016099669,0.96351],"genre_scores_gemma":[0.00070229155,0.00010873074,0.0001819517,0.00106952,0.0004923155,0.000040670955,0.00036472562,0.00022052198,0.9968194],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988018,0.0001478314,0.000044723736,0.00017399518,0.000533009,0.00029856898],"domain_scores_gemma":[0.9958488,0.00019914018,0.00007200483,0.00027056705,0.0016581252,0.0019513962],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011659336,0.001018202,0.00083284057,0.0013119776,0.005139928,0.005402909,0.0012255698,0.0027937004,0.8597011],"category_scores_gemma":[0.0045023724,0.00070220017,0.0008377814,0.0009761508,0.0005612746,0.0027866727,0.0039042598,0.0043908586,0.7582381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013883925,0.000017115017,0.000024394878,0.000009580479,5.0304453e-7,0.000013335077,0.000012919415,0.000005992995,0.000032949592,0.00040562818,0.9912186,0.008245098],"study_design_scores_gemma":[0.0000062489244,0.0000077494515,0.00019453948,0.000012356574,8.346842e-7,0.000015162508,0.00010097119,0.000015903057,0.000025813064,0.00017384921,0.999443,0.0000036636732],"about_ca_topic_score_codex":0.0076163034,"about_ca_topic_score_gemma":0.033366147,"teacher_disagreement_score":0.8597011,"about_ca_system_score_codex":0.0013553706,"about_ca_system_score_gemma":0.0027011738,"threshold_uncertainty_score":0.20011938},"labels":[],"label_agreement":null},{"id":"W7006617443","doi":"","title":"Valley National Bancorp Reports a Higher Net Interest Margin Driving Its Fourth Quarter Net Income and the Prepayment of High Cost Borrowings - NASDAQ (NASDAQ01) News","year":2020,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prepayment of loan; Net interest margin; Margin (machine learning); Net interest income; Net income; Quarter (Canadian coin); Net worth; Interest rate","score_opus":0.024500577933470602,"score_gpt":0.21495533435692787,"score_spread":0.19045475642345727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7006617443","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063266666,0.0007898877,0.00055377936,0.047296587,0.009674599,0.00009929834,0.027048213,0.0013057882,0.9069052],"genre_scores_gemma":[0.010831277,0.00043538687,0.0003806484,0.007144373,0.00091952126,0.000028119335,0.008231939,0.00032400194,0.9717048],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995708,0.00002259802,0.000008134829,0.000038385686,0.0002600459,0.000100132136],"domain_scores_gemma":[0.99865735,0.00014443583,0.0000675226,0.00006971364,0.00076514477,0.00029583788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061922136,0.00039032393,0.00022228301,0.00047659467,0.001417074,0.003674022,0.00057667936,0.0023892086,0.15752229],"category_scores_gemma":[0.0015871329,0.00027821233,0.00040136412,0.00049767294,0.00033942456,0.00082777586,0.0007416253,0.0028121206,0.0477274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026072365,0.000021467928,0.00061092805,0.000012715554,0.0000010577763,0.000053569875,0.0000062112076,0.000026731539,0.000102137914,0.0007905812,0.9921125,0.006235922],"study_design_scores_gemma":[0.000019466592,0.000022672726,0.008223788,0.000017657907,0.00000228425,0.000043234966,0.00006770686,0.00021421374,0.00033341488,0.0005034717,0.9905442,0.000007855665],"about_ca_topic_score_codex":0.06406802,"about_ca_topic_score_gemma":0.22488295,"teacher_disagreement_score":0.15752229,"about_ca_system_score_codex":0.001990168,"about_ca_system_score_gemma":0.0036029217,"threshold_uncertainty_score":0.52696455},"labels":[],"label_agreement":null},{"id":"W7006678440","doi":"","title":"Verdibaserte investeringsstrategier : en studie av det norske aksjemarkedet i perioden 1998-2009","year":2010,"lang":"no","type":"dissertation","venue":"Duo Research Archive (University of Oslo)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Quarter (Canadian coin); Frith","score_opus":0.04010408536368177,"score_gpt":0.260573873626989,"score_spread":0.22046978826330726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7006678440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9281174,0.017836953,0.00050764484,0.006536691,0.00032854005,0.00018814216,0.008668,0.000038175494,0.03777852],"genre_scores_gemma":[0.9491831,0.015696906,0.00093248073,0.0015047424,0.00011022828,0.0002841162,0.0051417123,0.000062432046,0.02708429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99567884,0.0009848602,0.00069201714,0.00061416824,0.0014853589,0.0005448675],"domain_scores_gemma":[0.9892452,0.0042408556,0.00294673,0.00050160044,0.0017772233,0.0012882975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008237083,0.00028346956,0.00061298354,0.0015249257,0.0009060256,0.0054253708,0.0009350525,0.0008359625,0.011335296],"category_scores_gemma":[0.018863538,0.00040029307,0.00079765066,0.0032470515,0.00073741627,0.0026295495,0.0023053335,0.001998359,0.0021649965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022388475,0.0011569302,0.6931015,0.004229734,0.00097104255,0.0004324289,0.031371627,0.0009950538,0.00054080226,0.010220717,0.048117194,0.20662409],"study_design_scores_gemma":[0.00012680463,0.0006018044,0.8413117,0.004104683,0.0004959546,0.00013794226,0.021070011,0.00027391996,0.00068846135,0.0009882512,0.1301238,0.00007670038],"about_ca_topic_score_codex":0.045911998,"about_ca_topic_score_gemma":0.07739866,"teacher_disagreement_score":0.045911998,"about_ca_system_score_codex":0.004564248,"about_ca_system_score_gemma":0.006840713,"threshold_uncertainty_score":0.09128952},"labels":[],"label_agreement":null},{"id":"W7006754528","doi":"","title":"U.S. Stock ETFs Climb on Second Quarter Earnings Beat","year":2019,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Earnings; Quarter (Canadian coin); Climb; Beat (acoustics)","score_opus":0.021418374307835195,"score_gpt":0.20564020221930976,"score_spread":0.18422182791147457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7006754528","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07065524,0.0065241917,0.0014173285,0.036891803,0.003933702,0.00005772889,0.12569205,0.002069908,0.7527581],"genre_scores_gemma":[0.26596513,0.0038940897,0.00087719725,0.0031543586,0.0007491547,0.00004608505,0.05010491,0.0004672618,0.67474174],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99982446,0.000014874617,0.000007990127,0.000024244277,0.000096244454,0.000032240467],"domain_scores_gemma":[0.9991689,0.000076314616,0.00015452331,0.000046540787,0.00041789413,0.00013600686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003956787,0.00038346756,0.00017646747,0.0012116468,0.00047186005,0.0021923606,0.00030645804,0.0007363619,0.061684832],"category_scores_gemma":[0.0025293387,0.000114119335,0.00021816987,0.0014688924,0.00017190725,0.0008279632,0.00092107203,0.00092511857,0.02700077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009388666,0.000037044727,0.014763515,0.000041605013,0.00001142656,0.000049436258,0.000040335653,0.0004128392,0.00012595694,0.007178652,0.8925845,0.08466079],"study_design_scores_gemma":[0.000040239414,0.00006403741,0.18875413,0.00027380994,0.00002012035,0.000116771545,0.00051830773,0.0040883226,0.0012836377,0.005817279,0.79899055,0.000032748685],"about_ca_topic_score_codex":0.062692486,"about_ca_topic_score_gemma":0.09846589,"teacher_disagreement_score":0.062692486,"about_ca_system_score_codex":0.0013514593,"about_ca_system_score_gemma":0.0011606938,"threshold_uncertainty_score":0.20635635},"labels":[],"label_agreement":null},{"id":"W7007584804","doi":"","title":"Advisory - Boralex - Release of the 2015 Third Quarter Financial Results - Today's Market News (MARKCOMM) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Financial market; Financial services; Order (exchange); Financial plan","score_opus":0.02506853741680295,"score_gpt":0.2202111899505566,"score_spread":0.19514265253375365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7007584804","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001207544,0.0019999999,0.00081745646,0.037266612,0.04968306,0.00038416995,0.030121546,0.0032642395,0.8752554],"genre_scores_gemma":[0.0023761066,0.00048804132,0.00024589643,0.004457663,0.0033411835,0.00006668568,0.0065097343,0.0005797038,0.9819349],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983108,0.00010474544,0.000049309045,0.00012326856,0.0010787051,0.00033322402],"domain_scores_gemma":[0.9951029,0.00044137394,0.00026481718,0.00025115057,0.0023549465,0.0015848292],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002436466,0.00075126084,0.00075936987,0.0020644865,0.0014997799,0.007822033,0.0011522708,0.0042034015,0.4075162],"category_scores_gemma":[0.0077686403,0.00037795253,0.0007353605,0.0013333781,0.00047477012,0.002209427,0.0019326333,0.0037618577,0.33688587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016664386,0.0000071125246,0.000039631494,0.000010806229,7.9674544e-7,0.000009298563,0.0000029318553,0.000009668569,0.000021392558,0.0003496038,0.9967597,0.0027722497],"study_design_scores_gemma":[0.000022380265,0.000015886839,0.0011679356,0.00006149237,0.0000028707314,0.000012520175,0.000028553117,0.00010950164,0.00013246792,0.00046719852,0.99796957,0.000009631867],"about_ca_topic_score_codex":0.016465943,"about_ca_topic_score_gemma":0.043634128,"teacher_disagreement_score":0.59248376,"about_ca_system_score_codex":0.0022867967,"about_ca_system_score_gemma":0.0047129015,"threshold_uncertainty_score":0.84510624},"labels":[],"label_agreement":null},{"id":"W7007809701","doi":"","title":"AFG FlameGuard Commences Trading on the Canadian National Stock Exchange (CNSX) | Stock Market Summary for Today | NSDQ, NYSE...","year":2012,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock market; Stock (firearms); Algorithmic trading; Stock market bubble","score_opus":0.07432442353057457,"score_gpt":0.2422595082821692,"score_spread":0.16793508475159463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7007809701","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005569896,0.0020143422,0.001289222,0.0061121676,0.0017760437,0.0007186048,0.23164463,0.004905126,0.74596995],"genre_scores_gemma":[0.021277202,0.0018181101,0.001961257,0.0011602346,0.00044151305,0.00017841684,0.12496546,0.0012229868,0.84697473],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854577,0.000029468909,0.00003641195,0.00009362754,0.0010592106,0.00023550354],"domain_scores_gemma":[0.99584204,0.00016041621,0.00016678739,0.00028820147,0.0027007503,0.00084185426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014538026,0.0008558419,0.0005755712,0.0025402713,0.0020779457,0.0039580325,0.0011195397,0.0011534068,0.18336783],"category_scores_gemma":[0.0050281254,0.00031606335,0.00044308073,0.0027986744,0.0004795159,0.0012812964,0.00091773656,0.0014960363,0.10585715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007605015,0.000017930513,0.0010798711,0.000044628636,0.0000033977185,0.00002905512,0.000031269192,0.00007541199,0.0001765277,0.0015947167,0.9687601,0.028110977],"study_design_scores_gemma":[0.000016324524,0.000014010391,0.009950801,0.00006039738,0.0000029583261,0.000014173393,0.000045251727,0.00022407222,0.00050365675,0.00040841647,0.9887461,0.000013888906],"about_ca_topic_score_codex":0.7852405,"about_ca_topic_score_gemma":0.87862545,"teacher_disagreement_score":0.21475953,"about_ca_system_score_codex":0.0066209603,"about_ca_system_score_gemma":0.023420589,"threshold_uncertainty_score":0.6134265},"labels":[],"label_agreement":null},{"id":"W7008003519","doi":"","title":"Are momentum strategies profitable outside the US : evidence from Canada","year":2020,"lang":"en","type":"dissertation","venue":"Theses database, Tilburg University","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Momentum (technical analysis); Government (linguistics); Productivity; Investment (military); Debt","score_opus":0.049262275596927946,"score_gpt":0.21146334714804396,"score_spread":0.16220107155111602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008003519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64543927,0.007416108,0.00033463072,0.009584343,0.0001272714,0.0001641235,0.2703833,0.00011918815,0.066431805],"genre_scores_gemma":[0.8430972,0.008157811,0.00038110133,0.0009142341,0.00008215381,0.00008129687,0.117830575,0.00007708206,0.02937865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986922,0.000057059387,0.00010047717,0.00013069746,0.00066305767,0.00035656203],"domain_scores_gemma":[0.9791268,0.0034054515,0.0049000587,0.0006231871,0.009577907,0.002366668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125942,0.0003353338,0.0005522986,0.0038198247,0.0019561723,0.0040982417,0.0016378235,0.0006420246,0.014579878],"category_scores_gemma":[0.014176217,0.0002962106,0.00042210735,0.012428893,0.0007559097,0.0011960259,0.0009983691,0.0008260073,0.0010884056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010580843,0.00021949486,0.5979652,0.0006028024,0.00035141877,0.00026235697,0.002744996,0.0011923468,0.0001749874,0.009083709,0.3223012,0.064043425],"study_design_scores_gemma":[0.00015291064,0.000033651155,0.93857145,0.00032795084,0.00020334656,0.000045131554,0.004225263,0.0012011225,0.00028070202,0.00069057965,0.0542158,0.000052092797],"about_ca_topic_score_codex":0.9931825,"about_ca_topic_score_gemma":0.99564606,"teacher_disagreement_score":0.017430376,"about_ca_system_score_codex":0.017430376,"about_ca_system_score_gemma":0.052020352,"threshold_uncertainty_score":0.12646687},"labels":[],"label_agreement":null},{"id":"W7008108418","doi":"","title":"ATN Reports Second Quarter 2021 Results \\n\\n\\tTamar Securities Financial Portal","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Broker-dealer; Payment; Financial Audit; Commission","score_opus":0.015630553439982073,"score_gpt":0.19873617395100188,"score_spread":0.1831056205110198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008108418","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010407283,0.0008144284,0.00043993982,0.0037530006,0.005246246,0.00029695866,0.14336434,0.0021912341,0.8428531],"genre_scores_gemma":[0.0018213891,0.0004536021,0.00036037702,0.0006165353,0.0005550686,0.00011358355,0.051379196,0.00076848833,0.9439318],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99864167,0.00007854486,0.000040742,0.00009798762,0.0009287378,0.00021234005],"domain_scores_gemma":[0.9970798,0.0001832632,0.00012995035,0.00022345039,0.0014740836,0.0009094284],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015557203,0.0011802803,0.00095076265,0.0030447966,0.001313941,0.007309688,0.0011082027,0.0018967387,0.6438261],"category_scores_gemma":[0.0034441394,0.00042374415,0.00084865716,0.0021709981,0.00028557703,0.0017670047,0.0018237793,0.0017999011,0.6507684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002715389,0.000020854663,0.00008623574,0.000029462846,0.0000015611432,0.000006504627,0.0000024145447,0.000038495753,0.00004789134,0.00039558334,0.9922863,0.0070575355],"study_design_scores_gemma":[0.000028074744,0.000021927486,0.0014009789,0.0000661133,0.000004071326,0.000008698286,0.000018478693,0.00021206435,0.00020974549,0.00068218866,0.99733835,0.000009246835],"about_ca_topic_score_codex":0.019210098,"about_ca_topic_score_gemma":0.035744127,"teacher_disagreement_score":0.6438261,"about_ca_system_score_codex":0.0023984646,"about_ca_system_score_gemma":0.0044656848,"threshold_uncertainty_score":0.50803876},"labels":[],"label_agreement":null},{"id":"W7008314659","doi":"","title":"Brokerages Set Power Co. of Canada (OTCMKTS:PWCDF) Target Price at $34.71","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Power (physics); Measure (data warehouse); Noise (video); Production (economics)","score_opus":0.01724234829367304,"score_gpt":0.19865269819148304,"score_spread":0.18141034989781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008314659","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008247017,0.00034275444,0.00031523622,0.0019015048,0.00033930005,0.00008876268,0.010591895,0.0005989519,0.9849969],"genre_scores_gemma":[0.0019458872,0.00013346736,0.00009551991,0.00021691242,0.00002807983,0.0000117787395,0.001967893,0.00012736638,0.99547297],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991099,0.000018642175,0.000013541314,0.000075590004,0.00054432766,0.00023792154],"domain_scores_gemma":[0.99832946,0.00006272955,0.000031109135,0.00005850618,0.0010656582,0.00045268858],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044244216,0.00078044855,0.00046191528,0.0014864794,0.0030616173,0.0039150226,0.00084016094,0.0026783235,0.53968424],"category_scores_gemma":[0.0021392482,0.00045995542,0.00038265067,0.0012684719,0.00065118726,0.0011587098,0.0011371147,0.0020745904,0.3098418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031540545,0.000020897469,0.00023008963,0.00002367614,0.0000014753398,0.000027865615,0.000020951866,0.0000788936,0.00013445133,0.004800483,0.97767967,0.016949994],"study_design_scores_gemma":[0.000016676631,0.000009624339,0.0018104386,0.000031576503,0.0000018127974,0.000019433675,0.000049608734,0.00027865518,0.00024711862,0.0006950801,0.9968303,0.000009772229],"about_ca_topic_score_codex":0.69914997,"about_ca_topic_score_gemma":0.84752864,"teacher_disagreement_score":0.53968424,"about_ca_system_score_codex":0.008703926,"about_ca_system_score_gemma":0.017693318,"threshold_uncertainty_score":0.65658456},"labels":[],"label_agreement":null},{"id":"W7008410677","doi":"","title":"Canadian Stock Market Closes with Minimal Loss as Financial and Utility Sectors Drag","year":2024,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock market; Stock (firearms); Financial market; Job loss","score_opus":0.014778916788722027,"score_gpt":0.19963595435515782,"score_spread":0.1848570375664358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008410677","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3180032,0.002237667,0.0013086661,0.015412478,0.0005119055,0.000108663226,0.009818239,0.00044833397,0.6521508],"genre_scores_gemma":[0.8789967,0.0008826081,0.00045247553,0.0009059934,0.00013524768,0.000013457844,0.0023241898,0.00009354094,0.116195805],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989229,0.000041829517,0.000018731827,0.00008511057,0.0005890466,0.0003423316],"domain_scores_gemma":[0.9971916,0.000153899,0.0003291898,0.000109144785,0.0013735222,0.00084271695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079894264,0.0002730471,0.00034765125,0.001974008,0.0034724954,0.0061731352,0.000768114,0.0012197596,0.03513441],"category_scores_gemma":[0.007932753,0.00016063954,0.00026821037,0.0020637058,0.0009487636,0.001910536,0.0011552696,0.0012203569,0.0032636498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063092704,0.00017421218,0.14270228,0.000097336,0.00006985967,0.00082284474,0.0025412145,0.0050453064,0.001039733,0.15134324,0.4836428,0.21189025],"study_design_scores_gemma":[0.00010048003,0.00010066111,0.43013707,0.00015294676,0.00008979347,0.00044946346,0.010118058,0.009358296,0.0012667058,0.020028489,0.5280812,0.00011692282],"about_ca_topic_score_codex":0.9463996,"about_ca_topic_score_gemma":0.9779685,"teacher_disagreement_score":0.05360037,"about_ca_system_score_codex":0.025789225,"about_ca_system_score_gemma":0.017508902,"threshold_uncertainty_score":0.18711478},"labels":[],"label_agreement":null},{"id":"W7008495539","doi":"","title":"Casey’s General Stores (NASDAQ:CASY) Price Target Increased to $250.00 by Analysts at Royal Bank of Canada","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Payment; Work (physics); Order (exchange)","score_opus":0.00940544065715657,"score_gpt":0.18106498070083768,"score_spread":0.1716595400436811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008495539","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013906758,0.00045932847,0.00040890003,0.0069481754,0.0015884349,0.00013651146,0.011774507,0.0012952823,0.9759982],"genre_scores_gemma":[0.0024468545,0.00014905276,0.00014785842,0.0003778658,0.00011572031,0.00001389594,0.0020546766,0.00023815747,0.994456],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987822,0.00003221137,0.000020784517,0.00010707338,0.00084278226,0.00021495485],"domain_scores_gemma":[0.9968797,0.00010377064,0.00006643638,0.000101153375,0.0021883184,0.0006607411],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00082688656,0.0008968569,0.0005976793,0.0018578963,0.0025045292,0.0047216467,0.0011310547,0.0024048346,0.52791417],"category_scores_gemma":[0.0030787413,0.0004480097,0.0005455051,0.0010789535,0.0006722904,0.0012365922,0.0012919172,0.0024526673,0.2860353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002617188,0.00001634329,0.00016457411,0.000012874948,9.86216e-7,0.000020415575,0.000008534178,0.000036999925,0.000091518166,0.0015887555,0.9895919,0.008441001],"study_design_scores_gemma":[0.000019340745,0.000013972089,0.0018703437,0.000029126084,0.0000016342077,0.000018214318,0.000038399965,0.00027263814,0.00022608228,0.00051829603,0.9969813,0.000010650054],"about_ca_topic_score_codex":0.37912932,"about_ca_topic_score_gemma":0.5714775,"teacher_disagreement_score":0.52791417,"about_ca_system_score_codex":0.008188959,"about_ca_system_score_gemma":0.010736064,"threshold_uncertainty_score":0.7538451},"labels":[],"label_agreement":null},{"id":"W7008517088","doi":"","title":"CHINA CDM EXCHANGE CENTRE LTD - 3rd Quarter Results - Today's Market News (MARKCOMM) News","year":2014,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); China; Renminbi","score_opus":0.016167193258671563,"score_gpt":0.19788678585567293,"score_spread":0.18171959259700138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008517088","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006011389,0.002591324,0.0006714287,0.009233503,0.008387247,0.00020429747,0.032358013,0.0017474381,0.93879527],"genre_scores_gemma":[0.008551595,0.00075414317,0.00021063258,0.00051555084,0.0008025176,0.000041734675,0.0073304293,0.0002849166,0.98150855],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939847,0.000028463026,0.000025596368,0.00005464846,0.00038093422,0.00011197395],"domain_scores_gemma":[0.9988918,0.00006463453,0.00009389528,0.00011184494,0.00057895633,0.000258828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007687858,0.00085036264,0.00059139007,0.002073857,0.0011050653,0.0049862214,0.0006831943,0.0014520807,0.29023013],"category_scores_gemma":[0.0023559078,0.00027538807,0.00044052064,0.0024485746,0.0003933931,0.0016794653,0.00085137045,0.0017127695,0.16137016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073997755,0.000021498437,0.00041417615,0.00007321688,0.000004166852,0.000050295796,0.000014954166,0.00009743244,0.00015184729,0.0028462422,0.97196364,0.024288516],"study_design_scores_gemma":[0.000026880363,0.000023950839,0.0053994264,0.00005620169,0.000007574974,0.00002814718,0.00004388101,0.00050075946,0.00068865955,0.0010692164,0.9921406,0.000014742407],"about_ca_topic_score_codex":0.018970639,"about_ca_topic_score_gemma":0.033491004,"teacher_disagreement_score":0.29023013,"about_ca_system_score_codex":0.0021635909,"about_ca_system_score_gemma":0.0030338215,"threshold_uncertainty_score":0.9709165},"labels":[],"label_agreement":null},{"id":"W7008525015","doi":"","title":"Cogent Communications Reports Third Quarter 2017 Results and Increases Regular Quarterly Dividend on Common Stock","year":2017,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dividend; Stock (firearms); Quarter (Canadian coin); Common stock","score_opus":0.0492905181042838,"score_gpt":0.2592487009178404,"score_spread":0.2099581828135566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008525015","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057613723,0.0015211451,0.00074458285,0.02552794,0.005600289,0.00020799114,0.02916932,0.0015054556,0.8781096],"genre_scores_gemma":[0.1219266,0.0017242114,0.00069711125,0.0034113836,0.0022916065,0.00011157917,0.022333778,0.001016868,0.8464868],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982003,0.00014401689,0.000064007865,0.00016422308,0.0011427379,0.00028472356],"domain_scores_gemma":[0.9953876,0.00053631817,0.0003228902,0.00082193664,0.0021371539,0.00079410797],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021383548,0.00046694686,0.00046292116,0.0020175388,0.00096074503,0.0045778803,0.00084631494,0.0013081041,0.29933828],"category_scores_gemma":[0.006503472,0.00018535118,0.0007802411,0.0011966571,0.0005483998,0.0011588477,0.00204151,0.0011999432,0.11137246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007460527,0.0010698633,0.010655128,0.00016284468,0.000065943255,0.00019060218,0.00016000384,0.00027901464,0.0010269707,0.004993394,0.8857725,0.09487765],"study_design_scores_gemma":[0.00032831207,0.0003609883,0.09848746,0.00032065838,0.00014715518,0.0001910465,0.0008646304,0.00072664267,0.0077082114,0.005752673,0.8850705,0.0000417016],"about_ca_topic_score_codex":0.022811888,"about_ca_topic_score_gemma":0.032033984,"teacher_disagreement_score":0.29933828,"about_ca_system_score_codex":0.0021372836,"about_ca_system_score_gemma":0.0027025049,"threshold_uncertainty_score":0.9994089},"labels":[],"label_agreement":null},{"id":"W7009242025","doi":"","title":"$0.01 Earnings Per Share Expected for ATN International, Inc. (NASDAQ:ATNI) This Quarter","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Payment; Duration (music)","score_opus":0.03194463341890776,"score_gpt":0.23442904735853898,"score_spread":0.2024844139396312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009242025","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016337698,0.00030957663,0.00035494287,0.0012260656,0.0007824185,0.000102190985,0.022635609,0.001124719,0.97183067],"genre_scores_gemma":[0.003895322,0.00032696742,0.00017907727,0.00029961954,0.00014532535,0.000043229247,0.012231957,0.00018771896,0.98269075],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99968386,0.000021700505,0.000013051588,0.00003829609,0.00017367599,0.00006944022],"domain_scores_gemma":[0.9993863,0.00003476429,0.00004442339,0.000048956448,0.00032696,0.00015856461],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00036073566,0.00079045404,0.00027904726,0.001642578,0.0009005591,0.0021199894,0.0007091887,0.0009169613,0.5405248],"category_scores_gemma":[0.0017622145,0.00024391215,0.0003606899,0.0010852106,0.00033116748,0.0008733232,0.0011855277,0.00096187525,0.50623125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002987504,0.000033574073,0.00035682914,0.000029630768,0.0000013641583,0.000012485784,0.000007473164,0.00008281766,0.00011700646,0.0017045258,0.9716761,0.025948165],"study_design_scores_gemma":[0.000032134867,0.00003877332,0.0039366116,0.00006622269,0.0000024137444,0.000040312647,0.000035676658,0.0002769759,0.00023461934,0.0007698141,0.99455863,0.000007908448],"about_ca_topic_score_codex":0.025540937,"about_ca_topic_score_gemma":0.03105628,"teacher_disagreement_score":0.45947522,"about_ca_system_score_codex":0.0012483794,"about_ca_system_score_gemma":0.0016981814,"threshold_uncertainty_score":0.6553856},"labels":[],"label_agreement":null},{"id":"W7009736642","doi":"","title":"EVgo Inc. Reports Fourth Quarter and Full-Year 2021 Results \\n\\n\\tTamar Securities Financial Portal","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Broker-dealer; Payment; Financial Audit; Debt","score_opus":0.011431033644948496,"score_gpt":0.18824010359564408,"score_spread":0.1768090699506956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009736642","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005903764,0.0006932218,0.00034227935,0.0018838476,0.001998597,0.000100365505,0.045074157,0.0023600524,0.946957],"genre_scores_gemma":[0.0013967517,0.00048822592,0.00021496398,0.0003530449,0.00024488603,0.00004454813,0.022623505,0.0007219827,0.9739121],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918836,0.000041489257,0.000023299526,0.00007027727,0.0005675538,0.0001089298],"domain_scores_gemma":[0.9985337,0.00012015025,0.00007264479,0.00017247438,0.0007438521,0.0003572171],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009823294,0.0009680548,0.0005748599,0.002115782,0.0007693527,0.0061681266,0.00082478975,0.0014054358,0.6302632],"category_scores_gemma":[0.0024922737,0.00033983222,0.0005505982,0.0019404175,0.0002804288,0.0017903782,0.0011892634,0.0014778966,0.69526225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018522132,0.000019784422,0.0000843941,0.000031558637,0.0000010546415,0.000006410076,0.0000026999876,0.000026427411,0.00006722775,0.0006628304,0.987455,0.0116241705],"study_design_scores_gemma":[0.00001241032,0.000014168072,0.0007544302,0.00003753512,0.0000019626618,0.000009994918,0.000013651326,0.00007594127,0.00016965283,0.00039608407,0.99850935,0.000004786152],"about_ca_topic_score_codex":0.008716822,"about_ca_topic_score_gemma":0.01652899,"teacher_disagreement_score":0.3697368,"about_ca_system_score_codex":0.0009804701,"about_ca_system_score_gemma":0.002179347,"threshold_uncertainty_score":0.52738464},"labels":[],"label_agreement":null},{"id":"W7009744377","doi":"","title":"Factors affecting Muslim employees' motivation in Islamic fund management company: a case study of Tabung Haji head quarter / Nor Erna Nabila Mohd Raffi","year":2014,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cronbach's alpha; Descriptive statistics; Islam; Data collection; Government (linguistics); Quarter (Canadian coin); Statistical hypothesis testing; Statistical analysis","score_opus":0.04988876284595898,"score_gpt":0.238791692466161,"score_spread":0.18890292962020203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009744377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99932706,0.00009738491,0.000025154084,0.00020011207,0.0000037481032,0.000007312553,0.0000036461245,5.291803e-7,0.00033512432],"genre_scores_gemma":[0.99899274,0.00026945802,0.00008283661,0.00009933409,0.0000067457368,0.000007081712,0.0000061554797,7.4267354e-7,0.00053490914],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9994783,0.0002465232,0.000022642977,0.000024714294,0.000080864746,0.00014696603],"domain_scores_gemma":[0.99907,0.00030854033,0.00023378013,0.000022936676,0.00010278858,0.00026193596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001267286,0.00020512266,0.00017573015,0.0006816965,0.002749334,0.0011483146,0.0003596881,0.00060692977,0.0023987428],"category_scores_gemma":[0.0011575839,0.00017312352,0.00024124085,0.0004671657,0.0006914644,0.00051039923,0.00069638464,0.00072003336,0.00015735341],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018490848,0.0020394328,0.6751057,0.0004535244,0.000058249043,0.033702746,0.23290926,0.00021609374,0.0032240567,0.001595759,0.0022533638,0.04825696],"study_design_scores_gemma":[0.000015345116,0.0006109852,0.37758222,0.00022403938,0.000049202245,0.005706848,0.608317,0.00048637163,0.0009354232,0.00022524648,0.0058170445,0.000030321993],"about_ca_topic_score_codex":0.0063151545,"about_ca_topic_score_gemma":0.014951551,"teacher_disagreement_score":0.0063151545,"about_ca_system_score_codex":0.0010025745,"about_ca_system_score_gemma":0.0015343343,"threshold_uncertainty_score":0.012556791},"labels":[],"label_agreement":null},{"id":"W7009760287","doi":"","title":"Essays on Return Predictability and Asset Pricing","year":2025,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Stochastic discount factor; Hedge fund; Capital asset pricing model; Predictability; Stock market; Stock (firearms); Expected return; Investment theory; Leverage (statistics)","score_opus":0.017701160842524353,"score_gpt":0.19147303149036377,"score_spread":0.17377187064783942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009760287","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050778233,0.18731357,0.03174795,0.25477302,0.018162958,0.0000436658,0.0007695052,0.00016165849,0.45624936],"genre_scores_gemma":[0.6414356,0.10262494,0.0066103493,0.015558021,0.03247255,0.00007537781,0.00067178765,0.00026530356,0.20028599],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947876,0.00016394534,0.00003319855,0.000077881574,0.00021126034,0.0000349912],"domain_scores_gemma":[0.99531317,0.0037329614,0.00019650464,0.00020146085,0.00042397145,0.0001320278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016510253,0.0004380387,0.00034010332,0.00089516473,0.0008079485,0.0021922658,0.00035286005,0.0011678733,0.0068376325],"category_scores_gemma":[0.012279479,0.00018338022,0.00036185543,0.001105821,0.0019953116,0.0023538307,0.00069356576,0.0021787756,0.0010854008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003393523,0.000045271554,0.0009517993,0.00016907076,0.000021818963,0.00011625307,0.0009774899,0.003789014,0.00019709002,0.7730695,0.16502908,0.055599757],"study_design_scores_gemma":[0.000014010105,0.000026746824,0.0030256289,0.00042506107,0.000011056987,0.00012969747,0.0005076425,0.0035976532,0.00013777983,0.722757,0.2693516,0.00001617582],"about_ca_topic_score_codex":0.0010505059,"about_ca_topic_score_gemma":0.00057528465,"teacher_disagreement_score":0.0068376325,"about_ca_system_score_codex":0.0011560747,"about_ca_system_score_gemma":0.00079817144,"threshold_uncertainty_score":0.022874177},"labels":[],"label_agreement":null},{"id":"W7009872316","doi":"","title":"Essays on How Cultural Factors Affect the Sentiment and Behavior of Financial Market Participants","year":2021,"lang":"en","type":"dissertation","venue":"CUNY Academic Works (City University of New York)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Metropolitan area; Proxy (statistics); Mood; Affect (linguistics); Behavioral economics","score_opus":0.06452047891998096,"score_gpt":0.24615335952563921,"score_spread":0.18163288060565824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009872316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43408555,0.12823409,0.004691952,0.14201576,0.016975788,0.00017573715,0.0013013122,0.00009079721,0.27242893],"genre_scores_gemma":[0.7631702,0.09385447,0.0028878679,0.019287076,0.0072282716,0.00018738772,0.0007202512,0.00010197287,0.11256247],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997271,0.00011533482,0.000015417198,0.00004049012,0.00006691397,0.00003481012],"domain_scores_gemma":[0.99723154,0.0016562825,0.00038449775,0.000088537636,0.00042835058,0.00021082253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009810046,0.00031636845,0.0002058156,0.0006084577,0.0011754296,0.0017954833,0.0002381506,0.00059932075,0.009529288],"category_scores_gemma":[0.0046675233,0.00011049974,0.00028379678,0.0007999208,0.0008292162,0.00145516,0.0006997902,0.0010767464,0.0012357886],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033366322,0.0005432934,0.07717258,0.0022259504,0.00016396977,0.0007896148,0.058559563,0.00052593416,0.00336964,0.071854115,0.36268806,0.42177364],"study_design_scores_gemma":[0.000040338662,0.00029844834,0.19258015,0.0040575257,0.00015090407,0.00069494627,0.06472419,0.00057709496,0.0011769666,0.020770175,0.71486354,0.0000657182],"about_ca_topic_score_codex":0.0012746662,"about_ca_topic_score_gemma":0.0024615864,"teacher_disagreement_score":0.009529288,"about_ca_system_score_codex":0.000738469,"about_ca_system_score_gemma":0.00063348847,"threshold_uncertainty_score":0.03187865},"labels":[],"label_agreement":null},{"id":"W7010298689","doi":"","title":"Greenbacker Delivers Second Quarter Results \\n\\n\\tTamar Securities Financial Portal","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Broker-dealer; Work (physics); Payment; Debt","score_opus":0.019256958074093156,"score_gpt":0.19633980714264493,"score_spread":0.17708284906855176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010298689","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010413843,0.000590207,0.0006812025,0.0027640373,0.002589283,0.0001265083,0.031224063,0.0024461697,0.95853716],"genre_scores_gemma":[0.0024257463,0.0003069532,0.0003456924,0.00028193006,0.0003683073,0.000040145635,0.010822181,0.0009553857,0.98445374],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988299,0.000077164,0.000027482623,0.000093873256,0.0007830422,0.00018860512],"domain_scores_gemma":[0.997413,0.00026379767,0.00011135818,0.00028338606,0.001072605,0.00085586193],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015973633,0.0011056877,0.0009833974,0.0032925694,0.0010544047,0.0075143105,0.0009440788,0.0020736735,0.6804121],"category_scores_gemma":[0.0034690928,0.0003803859,0.00085232424,0.0020159704,0.00030985952,0.0021120955,0.0017459947,0.001668157,0.6083403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030703428,0.000036984864,0.00011068673,0.000018150387,0.000002129006,0.000011414884,0.0000047472813,0.00008163084,0.000053732605,0.001023232,0.9814461,0.017180488],"study_design_scores_gemma":[0.000038851216,0.000036542056,0.0016939731,0.0000710277,0.000005423748,0.000015599933,0.00003379678,0.00074004766,0.00034818053,0.0027828196,0.9942186,0.000015137676],"about_ca_topic_score_codex":0.009422488,"about_ca_topic_score_gemma":0.019388169,"teacher_disagreement_score":0.6804121,"about_ca_system_score_codex":0.0019847797,"about_ca_system_score_gemma":0.002593619,"threshold_uncertainty_score":0.45585328},"labels":[],"label_agreement":null},{"id":"W7011427701","doi":"","title":"Markedseffisiens på Oslo Børs i lys av kursutvikling før og etter flaggemeldinger og meldepliktig handel","year":2022,"lang":"no","type":"dissertation","venue":"Duo Research Archive (University of Oslo)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flagging; Capon; Data source; Quarter (Canadian coin)","score_opus":0.045283882486426695,"score_gpt":0.26101440185272545,"score_spread":0.21573051936629875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011427701","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05394398,0.0054202396,0.0051529463,0.037785362,0.0097477045,0.00032283593,0.00878019,0.0019197287,0.8769271],"genre_scores_gemma":[0.043819476,0.0018681738,0.003246413,0.0032046312,0.0004418805,0.0001810678,0.003828589,0.0014083893,0.9420014],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9969464,0.00034232528,0.00015972168,0.00068107044,0.0010321789,0.0008383619],"domain_scores_gemma":[0.9969522,0.00032493638,0.00021919612,0.00021324425,0.0009586044,0.0013319163],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016377058,0.00134295,0.0008221568,0.0012945271,0.0061358386,0.009072597,0.0015740097,0.0037614198,0.30917186],"category_scores_gemma":[0.004445268,0.00090301776,0.00093380164,0.0011846257,0.002096632,0.0045524603,0.007507475,0.004295326,0.15177812],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006765941,0.00034019083,0.009244074,0.0006684071,0.000041413776,0.0011682139,0.014336962,0.0005175651,0.0051946845,0.026196739,0.77331156,0.16830356],"study_design_scores_gemma":[0.000011960008,0.000045452707,0.003601108,0.0001942376,0.000006248183,0.00007479105,0.004071439,0.00004286472,0.0004311401,0.0006110189,0.9908793,0.000030446872],"about_ca_topic_score_codex":0.06752199,"about_ca_topic_score_gemma":0.14222486,"teacher_disagreement_score":0.30917186,"about_ca_system_score_codex":0.0043307617,"about_ca_system_score_gemma":0.0103612505,"threshold_uncertainty_score":0.9853825},"labels":[],"label_agreement":null},{"id":"W7014628236","doi":"","title":"Power Co. of Canada (TSE:POW) Share Price Passes Above 200 Day Moving Average of $24.54","year":2020,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Moving average; Market share; Duration (music)","score_opus":0.01488003192976118,"score_gpt":0.1884887826024287,"score_spread":0.17360875067266754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014628236","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016271102,0.00058308244,0.0005357502,0.0038731913,0.00073723716,0.00015635279,0.05214976,0.00090313196,0.9394344],"genre_scores_gemma":[0.0044089328,0.0004974194,0.0002166672,0.0004485152,0.000056791174,0.000025385556,0.009144249,0.00022351684,0.9849784],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992163,0.000017978575,0.000014105854,0.00006341279,0.00045170877,0.0002365502],"domain_scores_gemma":[0.99799937,0.0000396963,0.000035032597,0.00006109392,0.0015268375,0.00033797137],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041686033,0.001028065,0.0004697261,0.0016972303,0.003325774,0.003253688,0.0008461129,0.0020467434,0.34407845],"category_scores_gemma":[0.001942254,0.00046724515,0.00046477802,0.0020194205,0.00073553534,0.0010668433,0.0010409242,0.0019204016,0.14952505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002107518,0.0000141997225,0.00040489397,0.00003464958,0.0000020654554,0.000024329784,0.000014035348,0.000102672806,0.00009195372,0.003571775,0.9798063,0.015912116],"study_design_scores_gemma":[0.0000109426355,0.000009767441,0.003651945,0.000056140507,0.0000027338904,0.000022038952,0.000059405775,0.00029754176,0.00024645866,0.0007351511,0.9948967,0.0000111464515],"about_ca_topic_score_codex":0.90247977,"about_ca_topic_score_gemma":0.9517155,"teacher_disagreement_score":0.34407845,"about_ca_system_score_codex":0.013680834,"about_ca_system_score_gemma":0.033810817,"threshold_uncertainty_score":0.9355925},"labels":[],"label_agreement":null},{"id":"W7014672697","doi":"","title":"Power Co. of Canada (POW.TO) (TSE:POW) Stock Price Crosses Above Two Hundred Day Moving Average of $27.57","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Power (physics); Moving average; Stock price; Time series","score_opus":0.016288792282521357,"score_gpt":0.22306942295473153,"score_spread":0.20678063067221017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014672697","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014638779,0.0004533332,0.00035971898,0.0024046754,0.00044611085,0.00010161611,0.027772035,0.0007565882,0.966242],"genre_scores_gemma":[0.0024030437,0.00027596668,0.00015245008,0.00021814487,0.000024700586,0.000011834135,0.0043137916,0.00015476711,0.9924452],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995554,0.0000119226925,0.000009100928,0.00004608413,0.00024881403,0.0001287393],"domain_scores_gemma":[0.9984659,0.000041251966,0.000028419763,0.000060490278,0.0010982202,0.00030563655],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003091549,0.00084963866,0.0004335759,0.001333097,0.0031311363,0.003006622,0.00064097124,0.0014433861,0.50482804],"category_scores_gemma":[0.0013179824,0.0004430966,0.00039137207,0.0016750244,0.0006725355,0.0007495893,0.00097400387,0.0015204817,0.24985988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002578621,0.000022882035,0.00065060554,0.00003255833,0.0000023744215,0.00002918393,0.000017295393,0.00011079819,0.00012295214,0.0024631107,0.96167904,0.034843463],"study_design_scores_gemma":[0.00001287504,0.0000123547115,0.005351341,0.000066568915,0.0000026553594,0.00002710606,0.00008249952,0.0003994011,0.00030361125,0.0006992445,0.9930307,0.000011671398],"about_ca_topic_score_codex":0.84279114,"about_ca_topic_score_gemma":0.9447239,"teacher_disagreement_score":0.50482804,"about_ca_system_score_codex":0.0092586,"about_ca_system_score_gemma":0.018063022,"threshold_uncertainty_score":0.7063027},"labels":[],"label_agreement":null},{"id":"W7015100690","doi":"","title":"The Second Quarter in U.S. Stock Funds: Settling Down","year":2019,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Quarter (Canadian coin); Settling; Forecast period","score_opus":0.020113387725966745,"score_gpt":0.20585244778220857,"score_spread":0.18573906005624183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015100690","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4578602,0.033712678,0.0015865328,0.11346517,0.007537155,0.000102524944,0.027981004,0.0005305757,0.35722405],"genre_scores_gemma":[0.68076503,0.005597871,0.0004899255,0.0076241,0.0014727812,0.00005455658,0.012275835,0.00019052599,0.2915294],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944085,0.00005658813,0.000030128802,0.000058332058,0.00021236391,0.00020180766],"domain_scores_gemma":[0.9988551,0.00010927839,0.00030670018,0.000057397934,0.0003917364,0.00027976494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010901864,0.0003481936,0.00030634442,0.0013347446,0.00094872166,0.004852757,0.00054263556,0.0016268541,0.015811667],"category_scores_gemma":[0.0050549977,0.00016427127,0.00024070322,0.0015944875,0.00029230217,0.0016483464,0.00125845,0.001489036,0.0035332427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004586711,0.00010666772,0.06862243,0.000110860936,0.00003879716,0.000377997,0.0009871203,0.0006551749,0.00036802315,0.042799316,0.7193923,0.1660826],"study_design_scores_gemma":[0.000074513555,0.00011432371,0.25400433,0.0004586665,0.000048657635,0.00024174742,0.0033697896,0.003599713,0.0014216916,0.015137746,0.721482,0.00004693608],"about_ca_topic_score_codex":0.09937505,"about_ca_topic_score_gemma":0.17339376,"teacher_disagreement_score":0.09937505,"about_ca_system_score_codex":0.0027363019,"about_ca_system_score_gemma":0.002793249,"threshold_uncertainty_score":0.19759321},"labels":[],"label_agreement":null},{"id":"W7015360792","doi":"","title":"Strong growth in Boralex's results for the 4th quarter of 2015 and increase in the annual dividend to $0.56 per share","year":2016,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Dividend; Growth rate; Dividend payout ratio; Work (physics)","score_opus":0.02439769418269649,"score_gpt":0.24391298584206283,"score_spread":0.21951529165936634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015360792","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06357101,0.0062447544,0.0031110065,0.03464179,0.005149926,0.00012465085,0.08215089,0.003974392,0.80103153],"genre_scores_gemma":[0.314094,0.0048798914,0.0036826085,0.005247111,0.0017098687,0.00010191365,0.08950211,0.00215237,0.57863015],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99761826,0.00016347981,0.00012380842,0.00024230851,0.001413905,0.00043828227],"domain_scores_gemma":[0.9945832,0.0006961781,0.00093161676,0.0003132032,0.0024656565,0.0010100922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028864352,0.00050738064,0.00031788496,0.0021803912,0.0007329897,0.0035885845,0.0005343663,0.00100324,0.05734464],"category_scores_gemma":[0.009762694,0.0002102717,0.0004764307,0.0020009247,0.00054070225,0.001379417,0.001913467,0.0014754477,0.031263538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002550863,0.000090395726,0.024344182,0.0002724326,0.000046921425,0.00016968575,0.00023866874,0.0007164324,0.0011874246,0.016924132,0.8729213,0.08283331],"study_design_scores_gemma":[0.000049641883,0.00008398895,0.109703794,0.00030285396,0.000034000455,0.00023603787,0.0004160263,0.00096781715,0.004457402,0.0029748299,0.88072157,0.00005196866],"about_ca_topic_score_codex":0.021440016,"about_ca_topic_score_gemma":0.03548983,"teacher_disagreement_score":0.05734464,"about_ca_system_score_codex":0.0021991376,"about_ca_system_score_gemma":0.0051198243,"threshold_uncertainty_score":0.19183695},"labels":[],"label_agreement":null},{"id":"W7015381789","doi":"","title":"Sun Communities, Inc. Reports 2021 Second Quarter Results \\n\\n\\tTamar Securities Financial Portal","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payment; Debt; Audit; Financial Audit","score_opus":0.02121002248525306,"score_gpt":0.20482276744629616,"score_spread":0.1836127449610431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015381789","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00050373655,0.00063595054,0.000297081,0.0024031957,0.0013142707,0.00009201236,0.038634285,0.0015422674,0.95457715],"genre_scores_gemma":[0.0014991598,0.0007208495,0.00024436717,0.00028353604,0.00022242269,0.00004671548,0.016432146,0.00063048187,0.9799203],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992398,0.000034090335,0.000025042698,0.000068707064,0.0005521063,0.00008027523],"domain_scores_gemma":[0.9982279,0.00013941366,0.00009523702,0.00015168363,0.0010471314,0.00033859903],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00077773683,0.000841151,0.00051939196,0.0018489821,0.0009846339,0.005260396,0.0006241621,0.0011372176,0.5567842],"category_scores_gemma":[0.0023807904,0.00034434054,0.00040251497,0.0022119484,0.00021631396,0.0016795067,0.0008587725,0.0014360463,0.5180375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001261888,0.000015716914,0.000092413975,0.00002215669,8.2618357e-7,0.0000052414384,0.000003335778,0.00002083011,0.00004269254,0.0007464559,0.98715425,0.011883483],"study_design_scores_gemma":[0.000008461509,0.000007799137,0.00081789866,0.000028559312,0.0000018548494,0.0000063152966,0.000015756239,0.000070157046,0.00012809213,0.00032053117,0.99859077,0.0000037561188],"about_ca_topic_score_codex":0.02332242,"about_ca_topic_score_gemma":0.050775476,"teacher_disagreement_score":0.4432158,"about_ca_system_score_codex":0.0014401273,"about_ca_system_score_gemma":0.0032788492,"threshold_uncertainty_score":0.6321935},"labels":[],"label_agreement":null},{"id":"W7015461389","doi":"","title":"Sunnova Reports Fourth Quarter and Full Year 2020 Results \\n\\tTamar Securities Financial Portal Home","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Broker-dealer; Payment; Debt; Work (physics)","score_opus":0.013705782073029972,"score_gpt":0.19384692182012286,"score_spread":0.1801411397470929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015461389","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020023163,0.0014064597,0.000571934,0.0030712537,0.005357238,0.00025195928,0.16642118,0.0034268096,0.81749076],"genre_scores_gemma":[0.0029781018,0.0006208522,0.0004686503,0.00052009133,0.0004701439,0.00011252043,0.060595453,0.0010206524,0.93321353],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989366,0.00006879215,0.000034089317,0.000083063576,0.0007126754,0.0001647555],"domain_scores_gemma":[0.9978531,0.00015620771,0.00012229728,0.00019121364,0.00091418275,0.0007630033],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018361072,0.001216764,0.0008853424,0.0025783929,0.0009762215,0.006373984,0.0011112827,0.0017154007,0.5175587],"category_scores_gemma":[0.0032068288,0.00040568245,0.0008626189,0.0017560365,0.00027845966,0.0018155004,0.0016917315,0.001705035,0.52597034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051847437,0.000030775944,0.00013548858,0.00003608784,0.0000025676661,0.000008204465,0.0000023305936,0.000061466395,0.00006272774,0.0005491224,0.9886114,0.010447936],"study_design_scores_gemma":[0.000044895398,0.0000488473,0.00250612,0.000072308154,0.0000062707036,0.000013270585,0.000021203121,0.00029157227,0.0003123365,0.0011301457,0.9955391,0.000013793844],"about_ca_topic_score_codex":0.01268835,"about_ca_topic_score_gemma":0.02364908,"teacher_disagreement_score":0.5175587,"about_ca_system_score_codex":0.0015143942,"about_ca_system_score_gemma":0.0034985193,"threshold_uncertainty_score":0.68814397},"labels":[],"label_agreement":null},{"id":"W7015686789","doi":"","title":"Udekket renteparitet med utgangspunkt i euro og lange renter : en empirisk analyse i perioden 2000 til 2018","year":2019,"lang":"no","type":"dissertation","venue":"Duo Research Archive (University of Oslo)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Child care; Context (archaeology)","score_opus":0.04831278573866205,"score_gpt":0.27387501851757823,"score_spread":0.22556223277891618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015686789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82358634,0.02221722,0.0044463496,0.011864427,0.0002354483,0.00021435422,0.022898464,0.00007641213,0.11446093],"genre_scores_gemma":[0.933533,0.009351189,0.0010099757,0.0009452647,0.00016135725,0.00020363608,0.009278144,0.000090664915,0.045426805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989575,0.00028978157,0.00007056819,0.00018371253,0.00027008244,0.000228222],"domain_scores_gemma":[0.9972414,0.0014914603,0.0006109198,0.0001134352,0.000314117,0.00022866036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014891792,0.00027946633,0.0005773594,0.0015980402,0.0007295506,0.004617335,0.0006964825,0.0007940832,0.020765368],"category_scores_gemma":[0.005361981,0.0003596007,0.00072867546,0.0037035614,0.00073935516,0.0031326835,0.0016171711,0.0022849652,0.0027106805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021070843,0.0013355077,0.49729997,0.0026541208,0.00075331365,0.0016404028,0.015004716,0.018223304,0.00086072314,0.17906164,0.14200251,0.13905674],"study_design_scores_gemma":[0.0001261804,0.00028787093,0.59111047,0.0015328873,0.00031894993,0.00029405442,0.03205482,0.008319493,0.0015761777,0.02066696,0.343606,0.00010600425],"about_ca_topic_score_codex":0.055766895,"about_ca_topic_score_gemma":0.042081628,"teacher_disagreement_score":0.055766895,"about_ca_system_score_codex":0.004227912,"about_ca_system_score_gemma":0.0019592096,"threshold_uncertainty_score":0.11088455},"labels":[],"label_agreement":null},{"id":"W7016172998","doi":"","title":"Young Investors: Buy These 4 High-Growth Canadian Stocks for Oversized Returns - TSX (TSXTSX01) News","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Government (linguistics); Work (physics)","score_opus":0.02980302454894827,"score_gpt":0.20760091511407883,"score_spread":0.17779789056513057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7016172998","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0081202695,0.0027708227,0.0005355638,0.02707666,0.005931154,0.00018558266,0.030096415,0.0012490558,0.92403454],"genre_scores_gemma":[0.01286945,0.0011462629,0.00037556046,0.0027061482,0.0007349402,0.000019682315,0.005830482,0.00019594206,0.9761214],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943715,0.0000122160045,0.000009353178,0.000026282896,0.0003287705,0.00018623017],"domain_scores_gemma":[0.99807453,0.00007646621,0.00006772425,0.000068704205,0.0010983641,0.0006141172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053944055,0.00061460456,0.00024802214,0.0011209708,0.002381767,0.004108029,0.00062987563,0.0020895367,0.21519178],"category_scores_gemma":[0.002359856,0.00025676642,0.0005007431,0.0011828588,0.0004387201,0.0008999371,0.00072227966,0.001518926,0.052866936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026706999,0.000010855909,0.0010679163,0.000018564204,0.0000025376303,0.000039979474,0.000027052934,0.00003330209,0.00008988933,0.0012457827,0.9836391,0.01379826],"study_design_scores_gemma":[0.000018922945,0.00001203791,0.01155084,0.000063633255,0.0000059725676,0.00003423625,0.00016990823,0.00017177341,0.0003251893,0.00056497223,0.98706496,0.000017561268],"about_ca_topic_score_codex":0.7650496,"about_ca_topic_score_gemma":0.93811107,"teacher_disagreement_score":0.23495042,"about_ca_system_score_codex":0.007850212,"about_ca_system_score_gemma":0.011615183,"threshold_uncertainty_score":0.7198882},"labels":[],"label_agreement":null},{"id":"W7017043246","doi":"","title":"Analysing currency options market downturn during global financial crisis (2007-2010)","year":2021,"lang":"en","type":"dissertation","venue":"Murdoch Research Repository (Murdoch University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Currency; Foreign exchange market; Foreign exchange risk; Reserve currency; Financial crisis; Liberian dollar; Foreign exchange swap; Volatility (finance)","score_opus":0.04291956020452779,"score_gpt":0.2720817049786721,"score_spread":0.22916214477414432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017043246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936388,0.0006063709,0.0002525718,0.00033722614,0.000060711474,0.000022604132,0.0012814123,0.000026656158,0.0037736306],"genre_scores_gemma":[0.9956548,0.00045400893,0.00019783176,0.000084216845,0.000086447646,0.000024118566,0.0024235875,0.000011612867,0.0010633607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995876,0.000041512725,0.000048812075,0.000057815607,0.00018267325,0.0000815967],"domain_scores_gemma":[0.9978751,0.00028593425,0.001004773,0.000051904713,0.0005945956,0.00018767967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007228519,0.00032732706,0.00033665032,0.0015441049,0.0002774241,0.0013112376,0.00021054273,0.0004651942,0.0018541005],"category_scores_gemma":[0.0029209836,0.00008368136,0.000259641,0.0014579277,0.00020786902,0.0008395024,0.0005737875,0.0005615213,0.00046733403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006062528,0.00018593358,0.93859035,0.0002031171,0.00009742719,0.002401002,0.0016260041,0.0018352702,0.0031601503,0.0015439851,0.012437206,0.037313372],"study_design_scores_gemma":[0.000010133448,0.000112199516,0.9869446,0.00005070635,0.000030865347,0.0004075522,0.0020559519,0.0032630677,0.00082543766,0.00038700955,0.0058871075,0.000025336774],"about_ca_topic_score_codex":0.003101402,"about_ca_topic_score_gemma":0.0033170716,"teacher_disagreement_score":0.003101402,"about_ca_system_score_codex":0.00051755976,"about_ca_system_score_gemma":0.0002505759,"threshold_uncertainty_score":0.0062025785},"labels":[],"label_agreement":null},{"id":"W7018375109","doi":"","title":"Detecting and measuring financial market bubbles","year":2018,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Manitoba","keywords":"Nucleofection; TSG101; Gestational period; Hyporeflexia; Diafiltration; Proteogenomics; Hemopericardium; Tubulopathy","score_opus":0.024709187574216866,"score_gpt":0.17800557243087037,"score_spread":0.1532963848566535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018375109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948645,0.0035007028,0.020439954,0.00054522033,0.000084230705,0.0004695369,0.0013216423,0.00036316333,0.024630498],"genre_scores_gemma":[0.9607829,0.0017929784,0.03193021,0.0001442732,0.000070360766,0.00023315212,0.0010869671,0.000033954617,0.0039253407],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914837,0.00015286097,0.000060292357,0.00009879825,0.00042912955,0.00011052961],"domain_scores_gemma":[0.99680424,0.0014965071,0.0006010102,0.000096340846,0.00083296536,0.00016894468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014683441,0.00027851915,0.0002933541,0.003700809,0.0003507931,0.0013196906,0.00026847183,0.00063813204,0.0025073027],"category_scores_gemma":[0.0070404354,0.00018938721,0.0001951902,0.0015163716,0.00024378218,0.0012846739,0.0006079826,0.00048555256,0.00071146793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004407458,0.0004788342,0.44715065,0.00065925386,0.0001212547,0.00025628528,0.0028415155,0.0024566632,0.049688317,0.0053147716,0.007242704,0.48334894],"study_design_scores_gemma":[0.00007349203,0.0013428745,0.8513267,0.00049763656,0.000231615,0.0010383077,0.0062756576,0.032028478,0.06845689,0.009775151,0.028786344,0.0001668951],"about_ca_topic_score_codex":0.0032700016,"about_ca_topic_score_gemma":0.003985426,"teacher_disagreement_score":0.003700809,"about_ca_system_score_codex":0.00052320363,"about_ca_system_score_gemma":0.00049196824,"threshold_uncertainty_score":0.008387744},"labels":[],"label_agreement":null},{"id":"W7018450732","doi":"","title":"$0.60 Earnings Per Share Expected for Exelon Co. (NASDAQ:EXC) This Quarter","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Duration (music); Measure (data warehouse)","score_opus":0.03266278061519617,"score_gpt":0.23236943474836746,"score_spread":0.1997066541331713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018450732","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017100779,0.00048907415,0.00033773435,0.0016499156,0.0008609553,0.00010235374,0.02271444,0.0011027107,0.97103274],"genre_scores_gemma":[0.0031612334,0.00026481904,0.00015826718,0.00033435225,0.00012026641,0.000043854296,0.0070788823,0.00019588134,0.9886425],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954706,0.000029339271,0.00001707779,0.000055670524,0.00025621388,0.000094683215],"domain_scores_gemma":[0.9993524,0.000036956535,0.00003931865,0.000044909433,0.00038816556,0.00013832036],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004358235,0.0008339361,0.00036142275,0.0017400922,0.0010736714,0.0022491417,0.00072441733,0.0012513859,0.4952735],"category_scores_gemma":[0.0017884056,0.0002646039,0.00035385665,0.0011237581,0.00035446035,0.00090945273,0.0011313225,0.0010982277,0.4119486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034279758,0.000032868797,0.00024978726,0.000036000776,0.0000014503457,0.000012308837,0.000008452941,0.00008156258,0.00014316331,0.0022618915,0.9738714,0.023266695],"study_design_scores_gemma":[0.000024484973,0.000023552315,0.0030930946,0.000056564513,0.0000018184228,0.000030456147,0.000034571458,0.00019594883,0.0002206129,0.0007880728,0.9955238,0.000007034913],"about_ca_topic_score_codex":0.045134626,"about_ca_topic_score_gemma":0.05695356,"teacher_disagreement_score":0.4952735,"about_ca_system_score_codex":0.001944756,"about_ca_system_score_gemma":0.0023442493,"threshold_uncertainty_score":0.7199311},"labels":[],"label_agreement":null},{"id":"W7018860793","doi":"","title":"-$0.22 Earnings Per Share Expected for American Superconductor Co. (NASDAQ:AMSC) This Quarter","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Value (mathematics); Measure (data warehouse)","score_opus":0.03461052379665899,"score_gpt":0.24163501862828363,"score_spread":0.20702449483162463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018860793","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005551337,0.00048802007,0.00048283173,0.001960676,0.0011272139,0.00010317428,0.025145132,0.0011999485,0.9639417],"genre_scores_gemma":[0.009519557,0.0003915354,0.0001744376,0.00032819752,0.00020493058,0.000038414244,0.010198244,0.00018374009,0.978961],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997259,0.000017838385,0.000010924433,0.000031077634,0.00015649924,0.00005769196],"domain_scores_gemma":[0.9995459,0.000027013857,0.000034390952,0.000033586566,0.00025739966,0.00010167687],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002944775,0.0007223471,0.00024823673,0.00144879,0.00094892905,0.0018307683,0.00049429614,0.0008183838,0.38009354],"category_scores_gemma":[0.0011964593,0.000170777,0.00033451675,0.00081022864,0.00027008465,0.0007195923,0.0008844223,0.000771873,0.26888165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006381184,0.00004609719,0.0007186035,0.0000397626,0.0000025241657,0.000028208764,0.000012819345,0.00012958457,0.00033744265,0.0033862884,0.95962554,0.035609275],"study_design_scores_gemma":[0.0000377456,0.00006617784,0.007961809,0.00006849762,0.000004322207,0.00007729901,0.000059078495,0.00048873905,0.0007848548,0.0013546728,0.9890864,0.0000104447745],"about_ca_topic_score_codex":0.021666728,"about_ca_topic_score_gemma":0.029934863,"teacher_disagreement_score":0.6199064,"about_ca_system_score_codex":0.0012652508,"about_ca_system_score_gemma":0.0014346138,"threshold_uncertainty_score":0.8842213},"labels":[],"label_agreement":null},{"id":"W7019061517","doi":"","title":"eXp World Holdings Reports Record Third Quarter 2017 Results","year":2017,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Period (music); Table (database); Government (linguistics)","score_opus":0.04307517159736743,"score_gpt":0.2365805555275936,"score_spread":0.19350538393022618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019061517","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002530774,0.0012172887,0.0011394806,0.0037714073,0.0015984713,0.00018134633,0.57938737,0.0019115196,0.40826237],"genre_scores_gemma":[0.009384146,0.002664715,0.0010251588,0.00058275094,0.00078882306,0.0003187676,0.40785372,0.0019056724,0.5754762],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99609417,0.00020754125,0.00022564235,0.00027779822,0.002630191,0.0005647467],"domain_scores_gemma":[0.9896365,0.0010457818,0.00085977034,0.001304649,0.006289686,0.00086362276],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0031188931,0.001409755,0.00080754166,0.010458447,0.0014314102,0.007138154,0.0017700824,0.0010360107,0.4130125],"category_scores_gemma":[0.013848233,0.00047599425,0.0012300086,0.01451054,0.00064172794,0.0033688515,0.0028921433,0.0022967032,0.46860301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004841465,0.000047653324,0.0011351665,0.00011921542,0.000009185782,0.000019297158,0.000019280566,0.00014634382,0.0000370097,0.0021523177,0.9789819,0.017284192],"study_design_scores_gemma":[0.000044364344,0.000014478684,0.0071677766,0.00019646432,0.000019994803,0.000028521927,0.00016297749,0.0002567757,0.0006496419,0.0028216909,0.98861617,0.000021159241],"about_ca_topic_score_codex":0.02827935,"about_ca_topic_score_gemma":0.03428876,"teacher_disagreement_score":0.5869875,"about_ca_system_score_codex":0.002719429,"about_ca_system_score_gemma":0.007099322,"threshold_uncertainty_score":0.83726645},"labels":[],"label_agreement":null},{"id":"W7019181463","doi":"","title":"Green Plains to Discuss Fourth Quarter and Full-Year 2011 Financial Results | Markets — Financial Market Summaries at SFGate","year":2012,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Financial market; Market data; Financial analysis; Financial ratio","score_opus":0.016626726417441662,"score_gpt":0.19547506402282086,"score_spread":0.1788483376053792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019181463","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00053965213,0.00201472,0.0004262568,0.012722953,0.0056804544,0.00010199195,0.02158855,0.001381097,0.95554435],"genre_scores_gemma":[0.0009602205,0.0006565209,0.00011321491,0.0013222639,0.00050023914,0.00003847978,0.0038140607,0.00040640717,0.9921887],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992176,0.000044428256,0.000024238967,0.000065554654,0.00044819416,0.00019999896],"domain_scores_gemma":[0.9979802,0.00027409912,0.00011079168,0.00015954854,0.0008885806,0.00058688055],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008986771,0.00088973064,0.00075917336,0.0030302512,0.0017196276,0.006825132,0.0010043608,0.0029709407,0.681295],"category_scores_gemma":[0.0039112014,0.0004421879,0.0007635844,0.0032276148,0.0006358075,0.0037256621,0.0022074485,0.0030512835,0.49323183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005884063,0.000009415815,0.000031369924,0.000015307854,3.9897958e-7,0.000004435086,0.0000040823884,0.000009664768,0.000011187957,0.0006303173,0.9932522,0.0060256654],"study_design_scores_gemma":[0.0000071668064,0.000005414899,0.0009787511,0.000055986035,0.0000012586638,0.0000075507446,0.000037589394,0.00003990468,0.000053457414,0.0010633887,0.99774325,0.000006316324],"about_ca_topic_score_codex":0.031391714,"about_ca_topic_score_gemma":0.08783683,"teacher_disagreement_score":0.681295,"about_ca_system_score_codex":0.002717892,"about_ca_system_score_gemma":0.0047764527,"threshold_uncertainty_score":0.45459402},"labels":[],"label_agreement":null},{"id":"W7019526647","doi":"","title":"Great Lakes Reports Second Quarter Results \\n\\n\\tTamar Securities Financial Portal","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payment; Debt; Work (physics); Financial Audit","score_opus":0.017545514307155854,"score_gpt":0.20011219098968644,"score_spread":0.18256667668253057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019526647","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017361231,0.0009466859,0.00024677295,0.004456552,0.0016674644,0.00016232442,0.11840476,0.0017955633,0.8705837],"genre_scores_gemma":[0.0020337352,0.00060019945,0.00018885825,0.0002566031,0.00032743881,0.00006829068,0.028304895,0.00047313323,0.96774685],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99915457,0.00005012764,0.000029322604,0.00006646155,0.00058435486,0.00011516242],"domain_scores_gemma":[0.99828845,0.00014619091,0.000106504034,0.0001561914,0.0009043549,0.00039829488],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008880084,0.0011322438,0.00064481504,0.0035083331,0.0010514702,0.0053561986,0.00080614974,0.0012636869,0.54862696],"category_scores_gemma":[0.0023855837,0.00047397902,0.0005594157,0.003062533,0.0002864709,0.0017096073,0.0014201351,0.0011586215,0.4733016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018644996,0.000018125666,0.00013799667,0.00002151561,0.0000015063947,0.000007700037,0.0000044477015,0.00003344833,0.000031647167,0.000403644,0.9920845,0.0072368174],"study_design_scores_gemma":[0.000031757805,0.000017971553,0.0037699465,0.00007685232,0.00000514499,0.000010744474,0.00003714376,0.00024713352,0.0002718837,0.00059289957,0.9949273,0.000011339014],"about_ca_topic_score_codex":0.045445886,"about_ca_topic_score_gemma":0.07987543,"teacher_disagreement_score":0.54862696,"about_ca_system_score_codex":0.0024929673,"about_ca_system_score_gemma":0.0033080033,"threshold_uncertainty_score":0.64382887},"labels":[],"label_agreement":null},{"id":"W7019663538","doi":"","title":"HiFi Radio with The Wolf on Bay Street Wolfgang Klein - Saturday, December 3, 2022","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Liberian dollar; Equity (law); Desk; Bay; Fur trade; Estate","score_opus":0.007641472571293024,"score_gpt":0.1639787997781864,"score_spread":0.1563373272068934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019663538","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015863637,0.0014180109,0.0004251467,0.0081016,0.01302197,0.00015283722,0.0024855188,0.0017031236,0.9711056],"genre_scores_gemma":[0.0028230196,0.00032922628,0.00012741024,0.0014164384,0.001142153,0.00003662705,0.00065457105,0.00021567396,0.9932549],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997727,0.000020104075,0.0000044695557,0.000036078516,0.000083395455,0.00008317251],"domain_scores_gemma":[0.99942195,0.000035961275,0.000022488543,0.000026517622,0.00019482149,0.0002982513],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00042714927,0.0006822905,0.00032820072,0.00052353635,0.0023785015,0.0024119825,0.00039475394,0.0013408266,0.6686834],"category_scores_gemma":[0.0010439298,0.00030406867,0.00025626065,0.00032167198,0.0002856658,0.001364887,0.0018012844,0.0019772698,0.48108798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002448966,0.000010617264,0.00009113055,0.0000104522,6.0874385e-7,0.000024624109,0.000022808419,0.0000059323165,0.0000944152,0.00017367268,0.99213326,0.0074078725],"study_design_scores_gemma":[0.000004827828,0.000015641297,0.00056444056,0.00001948136,8.680586e-7,0.000023709843,0.00009508788,0.000018361008,0.000056354096,0.000038686896,0.9991591,0.0000035152852],"about_ca_topic_score_codex":0.0052001025,"about_ca_topic_score_gemma":0.016963907,"teacher_disagreement_score":0.3313166,"about_ca_system_score_codex":0.00067530334,"about_ca_system_score_gemma":0.00055661355,"threshold_uncertainty_score":0.47258288},"labels":[],"label_agreement":null},{"id":"W7019742684","doi":"","title":"1 High-Leverage Canadian Stock Looking to Get More Attractive By The Motley Fool","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Motley; Stock (firearms)","score_opus":0.022413975877930398,"score_gpt":0.21310537169482907,"score_spread":0.19069139581689867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019742684","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009806909,0.003644371,0.00033823043,0.032423135,0.002257192,0.00010635161,0.010080016,0.00035882925,0.94098496],"genre_scores_gemma":[0.03239401,0.0016744058,0.00035461236,0.0028993797,0.0004349254,0.000018427081,0.0017236734,0.00011180508,0.96038866],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993735,0.000023914656,0.0000070530173,0.00004352444,0.00033199316,0.00021997465],"domain_scores_gemma":[0.99840134,0.000082456245,0.000054480653,0.000040529467,0.0009554407,0.00046569723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004345373,0.0006278992,0.00031395597,0.0020273603,0.0052302033,0.0046184785,0.0006556257,0.0018958973,0.20303553],"category_scores_gemma":[0.0025684214,0.00016509378,0.00033742536,0.002037434,0.00071317866,0.0010831496,0.0009660407,0.0013720152,0.02720804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002400699,0.000016135647,0.0019856216,0.000032489632,0.0000029392259,0.00006036473,0.000078400175,0.000073711,0.00007476105,0.010681262,0.9505605,0.03640969],"study_design_scores_gemma":[0.000012883387,0.000015135207,0.014388449,0.00013067221,0.00000984896,0.00008296215,0.0005966727,0.00036124015,0.00031158092,0.0025567706,0.9815089,0.00002492161],"about_ca_topic_score_codex":0.84446824,"about_ca_topic_score_gemma":0.9560529,"teacher_disagreement_score":0.20303553,"about_ca_system_score_codex":0.01618338,"about_ca_system_score_gemma":0.020678245,"threshold_uncertainty_score":0.6792215},"labels":[],"label_agreement":null},{"id":"W7020249187","doi":"","title":"Knight Transportation And 5 Other Stocks Have Very High Payout Ratio","year":2024,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Knight; Measure (data warehouse); Quarter (Canadian coin)","score_opus":0.02059909313020519,"score_gpt":0.20476633233093253,"score_spread":0.18416723920072733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020249187","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16667429,0.0014695841,0.002463677,0.0021102226,0.00067354046,0.00012894605,0.024997162,0.0008472945,0.8006353],"genre_scores_gemma":[0.4726068,0.000958313,0.0023653589,0.0006538543,0.00032837654,0.00004435786,0.02543146,0.00021828602,0.49739325],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964166,0.000013383361,0.00002225366,0.000046813482,0.00016880932,0.00010695967],"domain_scores_gemma":[0.99901605,0.00007340124,0.000255505,0.00008153107,0.00040915454,0.00016431903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002644599,0.0006011248,0.00020900303,0.0018976424,0.0008712141,0.002261281,0.00038252302,0.0005522596,0.060625613],"category_scores_gemma":[0.001169156,0.00011704785,0.00038299974,0.0022747049,0.00023971497,0.0008347728,0.0006507762,0.00050122564,0.017200707],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033726878,0.00029874803,0.1631161,0.00028731438,0.00015464131,0.00099601,0.0002647197,0.0017312195,0.0035940392,0.050619546,0.38783878,0.39076158],"study_design_scores_gemma":[0.000069532296,0.0001670021,0.3531785,0.00015033621,0.00012250441,0.001053596,0.0009132359,0.0027549185,0.010427349,0.011329029,0.61976516,0.000068826695],"about_ca_topic_score_codex":0.038346294,"about_ca_topic_score_gemma":0.081066005,"teacher_disagreement_score":0.060625613,"about_ca_system_score_codex":0.001038447,"about_ca_system_score_gemma":0.00094617234,"threshold_uncertainty_score":0.20281285},"labels":[],"label_agreement":null},{"id":"W7023744444","doi":"","title":"Power Co. of Canada (OTCMKTS:PWCDF) Given New $38.00 Price Target at TD Securities","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Work (physics); Measure (data warehouse); Noise (video)","score_opus":0.014367035661284005,"score_gpt":0.18874175569760013,"score_spread":0.17437472003631613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7023744444","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00086015183,0.0005260794,0.0006073566,0.002899778,0.00044358012,0.00008060471,0.010110492,0.00076984375,0.98370206],"genre_scores_gemma":[0.001769197,0.00022887306,0.00017513914,0.00021916564,0.000019604266,0.000009442485,0.0016539317,0.0001563232,0.9957683],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992501,0.000016065074,0.000011064154,0.00006621503,0.00046879862,0.0001876229],"domain_scores_gemma":[0.9984546,0.0000478424,0.000029317518,0.000060583232,0.0010396992,0.00036808598],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000410714,0.00088897225,0.00044823828,0.0014323251,0.0032308088,0.0034812118,0.0006915847,0.0021164718,0.5093984],"category_scores_gemma":[0.0016184271,0.00043433788,0.0003635634,0.0014700796,0.00072550273,0.001227145,0.001120785,0.0020880795,0.24726956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032744814,0.000021982047,0.00033339532,0.000040933362,0.0000027545,0.000036592624,0.000022727378,0.000113030765,0.00016396237,0.0071337195,0.9590274,0.033070683],"study_design_scores_gemma":[0.0000075461194,0.000008259818,0.0011605626,0.0000398391,0.0000016985416,0.000025825957,0.000046334022,0.0002588058,0.00022611601,0.0007659118,0.99745256,0.000006643055],"about_ca_topic_score_codex":0.73801124,"about_ca_topic_score_gemma":0.8974984,"teacher_disagreement_score":0.5093984,"about_ca_system_score_codex":0.010471121,"about_ca_system_score_gemma":0.022024566,"threshold_uncertainty_score":0.6997836},"labels":[],"label_agreement":null},{"id":"W7023905970","doi":"","title":"Power Co. of Canada (POW) Insider Sells 1,460 Shares of Stock","year":2017,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Insider; Power (physics); Debt","score_opus":0.02584461384954748,"score_gpt":0.21523959212850202,"score_spread":0.18939497827895455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7023905970","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007695817,0.0011766573,0.0008389542,0.0028069597,0.00028563922,0.00011967083,0.018342702,0.00088767183,0.9678459],"genre_scores_gemma":[0.019867143,0.0010486451,0.00028012446,0.0003066003,0.000069945614,0.000013969685,0.0057597454,0.00017602244,0.9724779],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999215,0.00001614679,0.000010463091,0.00007193643,0.00047717764,0.00020924148],"domain_scores_gemma":[0.99833953,0.00006975929,0.000058007914,0.00009420401,0.001010262,0.00042820105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000460952,0.00071820157,0.0003391296,0.002199167,0.0037501117,0.003665197,0.00067754864,0.0010544865,0.1936542],"category_scores_gemma":[0.0018198643,0.00033083296,0.00036896227,0.0024038889,0.0008537353,0.00113523,0.0011332693,0.0011874434,0.05332695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007862048,0.00005672588,0.0047507845,0.00009450901,0.000015315965,0.00018377205,0.00014318447,0.00040289247,0.0004875188,0.013587356,0.8860319,0.094167344],"study_design_scores_gemma":[0.000014779414,0.00002106677,0.0103512285,0.000092377064,0.000008287883,0.000069613394,0.0002691888,0.0005873566,0.0009288153,0.0015293617,0.98611,0.00001804196],"about_ca_topic_score_codex":0.8253972,"about_ca_topic_score_gemma":0.943572,"teacher_disagreement_score":0.8253972,"about_ca_system_score_codex":0.009903195,"about_ca_system_score_gemma":0.022661246,"threshold_uncertainty_score":0.6478378},"labels":[],"label_agreement":null},{"id":"W7023992211","doi":"","title":"The predictive nature of short interest on market returns and the effect of short selling on volatility, liquidity and price discovery with some international evidence","year":2020,"lang":"en","type":"dissertation","venue":"Greenwich Academic Literature Archive (University of Greenwich)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Price discovery; Capital asset pricing model; Volatility (finance); Market liquidity; Stock (firearms); Short interest ratio; Momentum (technical analysis); Interest rate; Stock market; Rate of return","score_opus":0.014042823697369632,"score_gpt":0.214959154313439,"score_spread":0.20091633061606937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7023992211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9169497,0.026435334,0.0048256386,0.014131501,0.00029642403,0.000050564973,0.001325629,0.00005918763,0.035926003],"genre_scores_gemma":[0.98539954,0.009077587,0.0007358321,0.0008642214,0.00064586697,0.000016646463,0.0007366384,0.000026976082,0.0024966947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986527,0.00042959067,0.00010946588,0.00032153106,0.00033085482,0.0001558265],"domain_scores_gemma":[0.91895556,0.059997533,0.013598687,0.0036743935,0.002434409,0.0013394345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042218,0.0005008419,0.0006062976,0.0013813587,0.0005162076,0.0032396717,0.0010282756,0.0011644707,0.009294368],"category_scores_gemma":[0.02390459,0.00028823796,0.001698757,0.0018719061,0.0019464958,0.0033322924,0.0013360274,0.002662101,0.0011886859],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080060354,0.00029632586,0.9225184,0.0004114819,0.0012280464,0.0007173081,0.0010912745,0.002265996,0.0005407966,0.016131293,0.0022171899,0.051781364],"study_design_scores_gemma":[0.00009824157,0.0007898236,0.94299966,0.00060988154,0.0019294026,0.0004781093,0.0019620573,0.010092282,0.0019228458,0.025952252,0.013046925,0.00011855282],"about_ca_topic_score_codex":0.007909027,"about_ca_topic_score_gemma":0.003713692,"teacher_disagreement_score":0.009294368,"about_ca_system_score_codex":0.00052746007,"about_ca_system_score_gemma":0.0005212839,"threshold_uncertainty_score":0.031092763},"labels":[],"label_agreement":null},{"id":"W7024324067","doi":"","title":"Schwab Q2 Trader Sentiment Survey: More Than Half of Traders Say the Market is Due for a Significant Correction in the Second Quarter","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Feature (linguistics); Period (music)","score_opus":0.032032122724367396,"score_gpt":0.22295808716335355,"score_spread":0.19092596443898616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024324067","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028547464,0.0010623437,0.0007393919,0.01433674,0.0021220318,0.00018404031,0.43354002,0.0014267912,0.5180412],"genre_scores_gemma":[0.03836332,0.00075722905,0.000482908,0.0030755186,0.00051311834,0.00020748233,0.112335645,0.00078623276,0.8434786],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916124,0.00007206371,0.000057712517,0.00007606234,0.0004362288,0.00019675202],"domain_scores_gemma":[0.99604696,0.00041392935,0.00041890808,0.00019575362,0.0024287896,0.0004956552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075759896,0.0005337056,0.00031483872,0.0024494834,0.0010471446,0.0020794363,0.00038881117,0.0009658842,0.16050236],"category_scores_gemma":[0.0043067224,0.00025229855,0.00025618076,0.0031513914,0.00026963232,0.0008760715,0.0009495639,0.0008773404,0.11101597],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044343426,0.000021401727,0.0049288776,0.000049467813,0.000002783322,0.000035112706,0.000037506186,0.000022670316,0.00011891691,0.0004616731,0.98064435,0.013632905],"study_design_scores_gemma":[0.0000317827,0.000025751327,0.086456835,0.000120979785,0.0000063003513,0.00009330085,0.0003557968,0.00042083696,0.0007224853,0.00065607735,0.9110845,0.000025376208],"about_ca_topic_score_codex":0.05133616,"about_ca_topic_score_gemma":0.09189033,"teacher_disagreement_score":0.16050236,"about_ca_system_score_codex":0.00082453474,"about_ca_system_score_gemma":0.0021002516,"threshold_uncertainty_score":0.5369339},"labels":[],"label_agreement":null},{"id":"W7024502248","doi":"","title":"The role of the S&amp;P/TSX Composite Index constituents in tracking the Canadian equity market","year":2015,"lang":"en","type":"dissertation","venue":"Open ULeth Scholarship (OPUS) (University of Lethbridge)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Composite index; Index (typography); Stock market index; Capitalization; Sample (material); Market capitalization; Tracking (education)","score_opus":0.060426370715794674,"score_gpt":0.2701062918720717,"score_spread":0.209679921156277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024502248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9613306,0.0003535011,0.0018968952,0.0004435604,0.000031226766,0.00008486074,0.002378058,0.000075818374,0.033405676],"genre_scores_gemma":[0.99217504,0.00012805335,0.0025216294,0.00004092792,0.000012422599,0.000018347999,0.0015595955,0.0000144081305,0.0035294306],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763894,0.00012994846,0.00007359264,0.00019485301,0.0016642716,0.0002983738],"domain_scores_gemma":[0.9902542,0.0008635502,0.0017130554,0.0004718031,0.005684352,0.0010129482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025777651,0.0003935461,0.0002470877,0.0033082739,0.0016437232,0.0030860736,0.0009618697,0.00030211356,0.001478523],"category_scores_gemma":[0.014389062,0.00016054489,0.0003055953,0.004153328,0.000677476,0.0011452017,0.000997388,0.0005533179,0.00035722752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118527016,0.00004595294,0.9332121,0.000035802117,0.00007227689,0.00007490378,0.0007318015,0.001878884,0.0017383633,0.0030240912,0.002776579,0.056290686],"study_design_scores_gemma":[0.000002214321,0.000023577586,0.99262345,0.000007763609,0.000013169843,0.000016232372,0.00033899362,0.0027068923,0.00073294266,0.0001658061,0.0033541557,0.000014829116],"about_ca_topic_score_codex":0.9206063,"about_ca_topic_score_gemma":0.9562952,"teacher_disagreement_score":0.079393685,"about_ca_system_score_codex":0.012258504,"about_ca_system_score_gemma":0.013647378,"threshold_uncertainty_score":0.15972245},"labels":[],"label_agreement":null},{"id":"W7024574563","doi":"","title":"Schwab Q2 Trader Sentiment Survey: More Than Half of Traders Say the Market is Due for a Significant Correction in the Second Quarter","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Feature (linguistics); Period (music)","score_opus":0.032032122724367396,"score_gpt":0.22295808716335355,"score_spread":0.19092596443898616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024574563","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028547464,0.0010623437,0.0007393919,0.01433674,0.0021220318,0.00018404031,0.43354002,0.0014267912,0.5180412],"genre_scores_gemma":[0.03836332,0.00075722905,0.000482908,0.0030755186,0.00051311834,0.00020748233,0.112335645,0.00078623276,0.8434786],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916124,0.00007206371,0.000057712517,0.00007606234,0.0004362288,0.00019675202],"domain_scores_gemma":[0.99604696,0.00041392935,0.00041890808,0.00019575362,0.0024287896,0.0004956552],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00075759896,0.0005337056,0.00031483872,0.0024494834,0.0010471446,0.0020794363,0.00038881117,0.0009658842,0.16050236],"category_scores_gemma":[0.0043067224,0.00025229855,0.00025618076,0.0031513914,0.00026963232,0.0008760715,0.0009495639,0.0008773404,0.11101597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044343426,0.000021401727,0.0049288776,0.000049467813,0.000002783322,0.000035112706,0.000037506186,0.000022670316,0.00011891691,0.0004616731,0.98064435,0.013632905],"study_design_scores_gemma":[0.0000317827,0.000025751327,0.086456835,0.000120979785,0.0000063003513,0.00009330085,0.0003557968,0.00042083696,0.0007224853,0.00065607735,0.9110845,0.000025376208],"about_ca_topic_score_codex":0.05133616,"about_ca_topic_score_gemma":0.09189033,"teacher_disagreement_score":0.8394976,"about_ca_system_score_codex":0.00082453474,"about_ca_system_score_gemma":0.0021002516,"threshold_uncertainty_score":0.5369339},"labels":[],"label_agreement":null},{"id":"W7024636909","doi":"","title":"Size, value and momentum in&#13;\\ninternational stock returns","year":2015,"lang":"en","type":"dissertation","venue":"ORCA Online Research @Cardiff (Cardiff University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Portfolio; Stock (firearms); Momentum (technical analysis); Value premium; Value (mathematics); Empirical research; Empirical evidence","score_opus":0.07165154412020235,"score_gpt":0.30516330058181534,"score_spread":0.23351175646161298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024636909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871357,0.0002657124,0.003492626,0.0004899179,0.000017498396,0.000011337684,0.00012690539,0.000040457173,0.008419873],"genre_scores_gemma":[0.9970956,0.0002786552,0.00054054585,0.000039028277,0.000021065061,0.00000558699,0.00013395534,0.000009077127,0.0018764648],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956554,0.00006329796,0.000029556959,0.000104648905,0.00016321774,0.000073701776],"domain_scores_gemma":[0.9947025,0.00243816,0.0018319723,0.00047296053,0.00035157433,0.00020277184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014959387,0.00036887967,0.0002945912,0.0009268002,0.00030668982,0.0027413513,0.00043228315,0.000574206,0.003103468],"category_scores_gemma":[0.011043063,0.0002031405,0.00063835556,0.00095051166,0.0010174288,0.002802395,0.00091018225,0.00071472855,0.0003929525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028446334,0.00023077487,0.8249953,0.000056605295,0.00020294133,0.00058108766,0.0013291955,0.019231657,0.002189575,0.061893936,0.0013010702,0.08770347],"study_design_scores_gemma":[0.000030360783,0.00017052138,0.89453274,0.00006939347,0.00013468796,0.00017402992,0.0008350824,0.060393654,0.0018017372,0.038449142,0.0033496462,0.000059003774],"about_ca_topic_score_codex":0.019518275,"about_ca_topic_score_gemma":0.016247291,"teacher_disagreement_score":0.019518275,"about_ca_system_score_codex":0.0013519394,"about_ca_system_score_gemma":0.0010274093,"threshold_uncertainty_score":0.03880936},"labels":[],"label_agreement":null},{"id":"W7026516554","doi":"","title":"Abengoa Yield Announces Second Quarter 2015 Results and a Quarterly Dividend Above Guidance - NASDAQ (NASDAQ01) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Dividend; Quarter (Canadian coin); Dividend yield; Productivity","score_opus":0.030327783085610332,"score_gpt":0.22769760665130698,"score_spread":0.19736982356569666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7026516554","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077033006,0.0015562682,0.0015430634,0.016890598,0.010394538,0.00016825176,0.03896415,0.0031279372,0.91965187],"genre_scores_gemma":[0.016228728,0.0005747779,0.0007423952,0.0014253653,0.0011323225,0.00004031089,0.013466791,0.00084080675,0.9655485],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884653,0.000035755784,0.000029220508,0.00008283949,0.0008310703,0.0001745656],"domain_scores_gemma":[0.9974305,0.00018710668,0.00015397846,0.00019142253,0.0015368909,0.0005000768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015091139,0.00053042354,0.00043641345,0.0016966099,0.0014211904,0.0062523154,0.0005623308,0.0015071974,0.13933651],"category_scores_gemma":[0.005517368,0.00026561267,0.0005281974,0.0010437384,0.00033604784,0.0013074926,0.001200576,0.0020622213,0.0776055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010103749,0.00004962085,0.0012128755,0.000034560057,0.0000053190056,0.00008701018,0.000028995497,0.00011502488,0.00028570817,0.0030323162,0.9762912,0.018756451],"study_design_scores_gemma":[0.000020768337,0.000022440918,0.009121877,0.000045470846,0.000006699317,0.000028226572,0.00006106926,0.00035288703,0.0007799655,0.0012806678,0.9882655,0.000014525139],"about_ca_topic_score_codex":0.04712012,"about_ca_topic_score_gemma":0.08671013,"teacher_disagreement_score":0.13933651,"about_ca_system_score_codex":0.0024475185,"about_ca_system_score_gemma":0.004047697,"threshold_uncertainty_score":0.46612704},"labels":[],"label_agreement":null},{"id":"W7026549900","doi":"","title":"Argan, Inc. Reports First Quarter Results \\n\\n\\tTamar Securities Financial Portal","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payment; Debt; Audit; Work (physics)","score_opus":0.016190771483389703,"score_gpt":0.19510037028683633,"score_spread":0.17890959880344662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7026549900","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012342884,0.00078915653,0.000437306,0.0025825612,0.0013179536,0.00013070575,0.049933523,0.00188651,0.94168806],"genre_scores_gemma":[0.0033241762,0.00088081986,0.0003713166,0.0003747746,0.0002933098,0.000057082267,0.024655415,0.0006460541,0.969397],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989398,0.000056241126,0.00003869988,0.00008504573,0.00077844324,0.00010179204],"domain_scores_gemma":[0.99737835,0.0003021623,0.00018444599,0.00023147534,0.0014095694,0.0004941141],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012274969,0.0008331628,0.0006076791,0.0023613058,0.0007127513,0.0053761927,0.00070046476,0.0009784073,0.46065557],"category_scores_gemma":[0.0028934896,0.0003111523,0.0004650191,0.0020972306,0.0002233497,0.0014618476,0.00081211625,0.00125917,0.48643667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024137038,0.000035649515,0.00020468349,0.000027716065,0.0000014744458,0.0000070304313,0.000003402497,0.000045631135,0.000060564013,0.00062255765,0.9828047,0.016162425],"study_design_scores_gemma":[0.000021133274,0.000025808442,0.002391204,0.00005264701,0.000005570799,0.0000153923,0.000027011443,0.00029187498,0.00030480698,0.0005858332,0.9962696,0.000009258251],"about_ca_topic_score_codex":0.015842596,"about_ca_topic_score_gemma":0.03225365,"teacher_disagreement_score":0.46065557,"about_ca_system_score_codex":0.0012592071,"about_ca_system_score_gemma":0.0025342794,"threshold_uncertainty_score":0.76930934},"labels":[],"label_agreement":null},{"id":"W7026833010","doi":"","title":"Bank of America's 10 Best Stock Ideas for the Third Quarter","year":2015,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Quarter (Canadian coin); Payment","score_opus":0.037543526256461235,"score_gpt":0.23700674079445477,"score_spread":0.19946321453799354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7026833010","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062902085,0.02901831,0.0021710533,0.045247927,0.007847045,0.00009683312,0.024891982,0.0012637487,0.8831729],"genre_scores_gemma":[0.032511774,0.017679377,0.0031890338,0.0030496793,0.0022005707,0.00009978364,0.008247305,0.0006148381,0.93240756],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992071,0.00006820064,0.000031940348,0.000062951614,0.0005018832,0.00012805061],"domain_scores_gemma":[0.9983394,0.00013188765,0.00016522393,0.00012628545,0.0007660065,0.0004712015],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017704571,0.00086684915,0.00048991875,0.00296567,0.0014402693,0.009647219,0.00082516164,0.002496242,0.10211881],"category_scores_gemma":[0.0048949216,0.0003236203,0.0005573677,0.002947317,0.0005493577,0.003655009,0.001641965,0.0029834998,0.033338223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033490935,0.0000405046,0.001200087,0.000055164583,0.0000062958457,0.000022564316,0.00002916733,0.0001711709,0.000048922728,0.018751308,0.9184113,0.0612301],"study_design_scores_gemma":[0.000021683805,0.000015630774,0.008631321,0.00032293174,0.000015011612,0.00004066291,0.00016602759,0.00065624935,0.00033319063,0.01928183,0.97049415,0.00002128804],"about_ca_topic_score_codex":0.019802302,"about_ca_topic_score_gemma":0.05271082,"teacher_disagreement_score":0.8978812,"about_ca_system_score_codex":0.004725836,"about_ca_system_score_gemma":0.005915223,"threshold_uncertainty_score":0.34162146},"labels":[],"label_agreement":null},{"id":"W7026895011","doi":"","title":"$8.30 Billion in Sales Expected for Exelon Co. (NASDAQ:EXC) This Quarter","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payment; Revenue; Sales journal","score_opus":0.03903641905061013,"score_gpt":0.239682876158714,"score_spread":0.20064645710810386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7026895011","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011417309,0.00084789464,0.00038643513,0.0025498227,0.0016182776,0.00010742752,0.019159773,0.0015322627,0.9726563],"genre_scores_gemma":[0.001661595,0.00034090478,0.00015574036,0.00050427305,0.00012921714,0.000036490354,0.0057430803,0.00024407993,0.99118465],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960774,0.000023593,0.000013910846,0.000050394552,0.00023122277,0.00007319494],"domain_scores_gemma":[0.9994992,0.00003156385,0.000023718321,0.00002877558,0.00029143656,0.00012531923],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040976956,0.0009993874,0.00043754705,0.0016469801,0.0011474126,0.0028280444,0.0006225998,0.0014746112,0.56179196],"category_scores_gemma":[0.0014545532,0.00031855938,0.00043159138,0.0012071719,0.0004091347,0.0012702728,0.0011994021,0.0014228359,0.47917226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020250669,0.000018929908,0.00010925704,0.000035181714,0.0000010658584,0.000009513946,0.0000054461593,0.000056238398,0.00011435995,0.0011407859,0.9833347,0.015154409],"study_design_scores_gemma":[0.000015011725,0.000014795729,0.0012963051,0.000052362848,0.0000012417514,0.000021387157,0.000032311014,0.00012401385,0.00012440712,0.00049838464,0.99781466,0.000004979921],"about_ca_topic_score_codex":0.04485508,"about_ca_topic_score_gemma":0.06148033,"teacher_disagreement_score":0.56179196,"about_ca_system_score_codex":0.0021536497,"about_ca_system_score_gemma":0.0027972842,"threshold_uncertainty_score":0.62505054},"labels":[],"label_agreement":null},{"id":"W7028011028","doi":"","title":"$0.82 Earnings Per Share Expected for Southern (SO) This Quarter","year":2018,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Duration (music); Payment","score_opus":0.02448314219214129,"score_gpt":0.2117440217192459,"score_spread":0.1872608795271046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028011028","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.098866284,0.0011168595,0.0017091805,0.004211448,0.0010407834,0.00009048137,0.061373033,0.0018010378,0.82979095],"genre_scores_gemma":[0.14122695,0.0012323755,0.0005712874,0.00048679445,0.00034054683,0.000049814767,0.047443725,0.00023371872,0.8084148],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998417,0.000010409539,0.000006410269,0.00002175547,0.00007463563,0.000045118504],"domain_scores_gemma":[0.9997614,0.00001675455,0.000038763894,0.000017648264,0.00009665597,0.000068789166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026056924,0.0003171004,0.000113716436,0.0008878439,0.0003764123,0.001007522,0.0003016939,0.00036514417,0.10032323],"category_scores_gemma":[0.0009161722,0.000073647505,0.00023984323,0.0006020935,0.00013945857,0.00046879862,0.0005828845,0.0004728765,0.038188476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019277324,0.00013362848,0.018691825,0.0000998461,0.000017596105,0.00010268559,0.00014282038,0.00079984014,0.0012378718,0.013574596,0.8606896,0.10431686],"study_design_scores_gemma":[0.000047855094,0.00011928838,0.07301955,0.00010294801,0.000015339523,0.00018132359,0.00037543237,0.0009192622,0.0015202307,0.003527641,0.92015743,0.000013739628],"about_ca_topic_score_codex":0.013143729,"about_ca_topic_score_gemma":0.01798156,"teacher_disagreement_score":0.10032323,"about_ca_system_score_codex":0.0006710837,"about_ca_system_score_gemma":0.00072174025,"threshold_uncertainty_score":0.33561462},"labels":[],"label_agreement":null},{"id":"W7028041263","doi":"","title":"-$0.31 Earnings Per Share Expected for American Superconductor Co. (AMSC) This Quarter","year":2018,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Value (mathematics); Measure (data warehouse)","score_opus":0.032674714631394326,"score_gpt":0.2399551775030091,"score_spread":0.20728046287161478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028041263","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022564003,0.0011119636,0.00096621324,0.0035756477,0.002103891,0.00012061729,0.03818333,0.0015612566,0.92981315],"genre_scores_gemma":[0.044061292,0.0010679024,0.0002953829,0.00044504358,0.0005133524,0.000052603307,0.02303346,0.00027713404,0.93025386],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967766,0.000016780072,0.000012949358,0.00003254506,0.00019403276,0.00006599989],"domain_scores_gemma":[0.999516,0.000028557708,0.000053654225,0.000034569697,0.00025277128,0.000114480135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003112986,0.00055085885,0.00020219573,0.0015531855,0.0007500452,0.0018480802,0.00041767018,0.0006168972,0.22615033],"category_scores_gemma":[0.001519075,0.00011416473,0.00032623264,0.00087725214,0.00023959228,0.0007877197,0.00080309465,0.0008040285,0.1265468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012802317,0.00007269277,0.0027079424,0.00006133873,0.000006662897,0.000056625224,0.00003240405,0.0002816667,0.00049617497,0.007550113,0.9293922,0.05921417],"study_design_scores_gemma":[0.000040312272,0.00009846878,0.01719668,0.00010028113,0.000008987269,0.00014321848,0.0001313862,0.00069331704,0.0013864932,0.002731984,0.9774556,0.000013302809],"about_ca_topic_score_codex":0.011065249,"about_ca_topic_score_gemma":0.01652056,"teacher_disagreement_score":0.22615033,"about_ca_system_score_codex":0.0010446562,"about_ca_system_score_gemma":0.0011932799,"threshold_uncertainty_score":0.7565482},"labels":[],"label_agreement":null},{"id":"W7028219682","doi":"","title":"Equinor first quarter 2021 results Oslo Stock Exchange:EQNR","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Stock (firearms)","score_opus":0.037808141882695635,"score_gpt":0.2237403627787969,"score_spread":0.18593222089610126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028219682","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067461845,0.004154997,0.001666244,0.0070440504,0.0065944484,0.00033276243,0.4718077,0.0021420098,0.4995116],"genre_scores_gemma":[0.014532698,0.0015031837,0.0016055553,0.0008019714,0.0014287621,0.00018526243,0.2576837,0.0011572632,0.7211015],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99881315,0.0001055636,0.00006765103,0.0001260938,0.00068654615,0.0002010355],"domain_scores_gemma":[0.9980564,0.0001275054,0.00014656954,0.00014421408,0.0011192276,0.00040609215],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001942218,0.0012943711,0.0007767329,0.0023197234,0.0005550835,0.0035593247,0.0008662938,0.0010372141,0.32036415],"category_scores_gemma":[0.00406683,0.00033646214,0.00061716564,0.0014052425,0.00015915727,0.0010954307,0.001084106,0.0009707753,0.23519558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013889658,0.000043486183,0.00065826887,0.00006716479,0.000008870779,0.000018484712,0.0000048362376,0.00027173813,0.000066548804,0.0011185813,0.9768339,0.02076921],"study_design_scores_gemma":[0.00019023346,0.000067361376,0.009618816,0.00019453163,0.00002321699,0.00003501631,0.00003338133,0.0013774305,0.00073305,0.001928043,0.98577744,0.000021549049],"about_ca_topic_score_codex":0.016366668,"about_ca_topic_score_gemma":0.029162297,"teacher_disagreement_score":0.32036415,"about_ca_system_score_codex":0.0016563942,"about_ca_system_score_gemma":0.002526775,"threshold_uncertainty_score":0.96941805},"labels":[],"label_agreement":null},{"id":"W7028559949","doi":"","title":"Financial Contrast: Alimco Financial (OTCMKTS:ALMC) versus Canadian Solar (NASDAQ:CSIQ)","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Investment (military); Position (finance); Work (physics); Financial stability","score_opus":0.02819952103896467,"score_gpt":0.20574485946946405,"score_spread":0.17754533843049938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028559949","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029611448,0.0025831296,0.0003226437,0.016085599,0.0016207454,0.00006028902,0.034223173,0.00030679663,0.9418365],"genre_scores_gemma":[0.060174268,0.002875394,0.0010701842,0.0077969003,0.0011247013,0.0001309961,0.01951021,0.0008056297,0.90651166],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988949,0.00006604205,0.000032596676,0.0001093819,0.0005702546,0.00032683884],"domain_scores_gemma":[0.9939307,0.0005549414,0.00029847375,0.0002019742,0.004096729,0.00091719034],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00117738,0.0004976694,0.00045125533,0.0028898683,0.0029623683,0.006489142,0.0011659303,0.0019114664,0.30427557],"category_scores_gemma":[0.008994427,0.00021571112,0.00043244616,0.004912974,0.0010191746,0.0021588102,0.0013908744,0.002308547,0.03865358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012564177,0.000021023097,0.001371099,0.000111209316,0.0000061249884,0.000026731603,0.00011249082,0.0000828437,0.000047960206,0.03340487,0.9406279,0.024062024],"study_design_scores_gemma":[0.00004846843,0.000009800837,0.009386438,0.00023577774,0.000014960605,0.000037727998,0.0005140767,0.00019175689,0.00016173504,0.004208829,0.98517287,0.00001769595],"about_ca_topic_score_codex":0.83889794,"about_ca_topic_score_gemma":0.89594257,"teacher_disagreement_score":0.30427557,"about_ca_system_score_codex":0.020053457,"about_ca_system_score_gemma":0.024619566,"threshold_uncertainty_score":0.99236643},"labels":[],"label_agreement":null},{"id":"W7029590606","doi":"","title":"Kalkine Media lists six Canadian stocks to watch for long-term By Kalkine Media","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Social media; Stock (firearms); The Internet","score_opus":0.022306903293684,"score_gpt":0.2170809013804318,"score_spread":0.19477399808674778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029590606","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012625455,0.0007861013,0.00019283338,0.0029932344,0.0010444685,0.0001027285,0.015769364,0.00081961724,0.977029],"genre_scores_gemma":[0.0029745384,0.00041745757,0.00024958074,0.0005606026,0.00014916113,0.000019294446,0.0035648872,0.00018456219,0.9918799],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992557,0.000016524873,0.0000136801755,0.00003759651,0.000502975,0.00017347567],"domain_scores_gemma":[0.99648726,0.00014935521,0.000076492404,0.00009274065,0.0023718388,0.0008222838],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00052168773,0.0010515467,0.00035086364,0.004636328,0.0046168286,0.005285915,0.00081726204,0.0014715847,0.4172413],"category_scores_gemma":[0.002372422,0.0003545085,0.00042511185,0.00391224,0.0006328365,0.0019313368,0.0011760342,0.0012189721,0.15410753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013743592,0.000012523066,0.000357419,0.000025545785,0.0000011654311,0.000019327637,0.00002869444,0.000026615804,0.00007852157,0.0017650253,0.97876614,0.018905286],"study_design_scores_gemma":[0.000007016854,0.000005049483,0.0021925361,0.000040333947,0.0000032068717,0.00001051194,0.00011270833,0.000115091105,0.00013483246,0.00035987244,0.9970048,0.000014034049],"about_ca_topic_score_codex":0.7983407,"about_ca_topic_score_gemma":0.93878895,"teacher_disagreement_score":0.4172413,"about_ca_system_score_codex":0.008456191,"about_ca_system_score_gemma":0.021934327,"threshold_uncertainty_score":0.8312346},"labels":[],"label_agreement":null},{"id":"W7029592692","doi":"","title":"Kransæðastífla - hvað svo? : Upplifun karlmanna af því að greinast með kransæðastíflu á besta aldri: Fyrirbærafræðileg rannsókn","year":2007,"lang":"is","type":"dissertation","venue":"Skemman","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Population; Term (time)","score_opus":0.025838866086405243,"score_gpt":0.25389144092224636,"score_spread":0.22805257483584113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029592692","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006634909,0.0058140713,0.0008893548,0.04253546,0.00777163,0.00008012904,0.0008342697,0.0006536484,0.9347866],"genre_scores_gemma":[0.01201854,0.0010866594,0.0003639095,0.0026751661,0.0002720544,0.000018078736,0.0001693712,0.00020539797,0.98319083],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.9992601,0.00007122664,0.000030266701,0.00016499066,0.00026365384,0.00020976942],"domain_scores_gemma":[0.99945325,0.00006733368,0.000038015718,0.000038552196,0.00019992865,0.00020291637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066483085,0.00062881067,0.00034364103,0.0005610457,0.004391044,0.0057245633,0.0006341536,0.0025374638,0.23798808],"category_scores_gemma":[0.0010170053,0.00034670284,0.00036350256,0.00046232587,0.0016732129,0.003514635,0.0031732214,0.0028401928,0.10030276],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009342909,0.000056665067,0.00086907897,0.00014591894,0.0000058704304,0.00039505208,0.0027314036,0.000060343817,0.0015987019,0.039037667,0.88513356,0.06987245],"study_design_scores_gemma":[0.0000019085965,0.000009515591,0.0007143936,0.000044766,0.0000017680255,0.00007538513,0.00096004363,0.000019867426,0.00021023574,0.00061053276,0.99734503,0.0000064984642],"about_ca_topic_score_codex":0.040770665,"about_ca_topic_score_gemma":0.13558286,"teacher_disagreement_score":0.23798808,"about_ca_system_score_codex":0.004348749,"about_ca_system_score_gemma":0.0030354662,"threshold_uncertainty_score":0.7961495},"labels":[],"label_agreement":null},{"id":"W7030225859","doi":"","title":"MISC Group Financial Results for the Third Quarter of FY2023","year":2023,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Group (periodic table); Sample (material); Duration (music); Term (time)","score_opus":0.03377720603352374,"score_gpt":0.2234112858684312,"score_spread":0.18963407983490746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030225859","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015309479,0.0007381836,0.00046242462,0.005478748,0.0048812954,0.00042852998,0.13955382,0.0014073052,0.84551865],"genre_scores_gemma":[0.0023074555,0.00038604095,0.00031175758,0.000954821,0.00055928197,0.00021177318,0.039140757,0.00025870028,0.95586944],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99879324,0.00008105584,0.00003425815,0.000071956136,0.00073522,0.0002841476],"domain_scores_gemma":[0.99718493,0.00018051172,0.00013123706,0.00016241168,0.0016184803,0.0007224754],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021663515,0.0013855783,0.0008460287,0.002759695,0.0019155919,0.00467788,0.0014701182,0.003599804,0.46329263],"category_scores_gemma":[0.004303199,0.00030486894,0.00055412936,0.0018276115,0.00035097354,0.0013451928,0.001816083,0.001362716,0.40870914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027429232,0.000020776808,0.000093223236,0.0000123852615,9.055027e-7,0.000006791089,0.0000030188548,0.000023749299,0.000018478482,0.00040226438,0.9944511,0.0049398807],"study_design_scores_gemma":[0.000054197913,0.000028674893,0.002717695,0.000078463665,0.000003634613,0.00001247827,0.00004491811,0.00021600146,0.00014451497,0.0008199715,0.9958709,0.000008714744],"about_ca_topic_score_codex":0.075142145,"about_ca_topic_score_gemma":0.14129004,"teacher_disagreement_score":0.46329263,"about_ca_system_score_codex":0.0033658175,"about_ca_system_score_gemma":0.007454858,"threshold_uncertainty_score":0.76554793},"labels":[],"label_agreement":null},{"id":"W7030448384","doi":"","title":"New Business Models in Aviation Subscription-Based Aviation applied to the 2030 World Cup","year":2024,"lang":"en","type":"dissertation","venue":"UBibliorum repositorio digital da ubi (University of Beira Interior)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business model; Aviation; Revenue; Loyalty business model; Unbundling; Commercial aviation; Civil aviation; Deregulation; Yield management","score_opus":0.01972090894481899,"score_gpt":0.1965429096413124,"score_spread":0.17682200069649343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030448384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63012785,0.003034607,0.09314593,0.008284204,0.00022969274,0.00032929308,0.00034851383,0.00031951856,0.2641804],"genre_scores_gemma":[0.9669016,0.001058584,0.02387682,0.000210325,0.00002546036,0.00012545659,0.0002170743,0.00005174858,0.0075329477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99755645,0.0015444723,0.00006187025,0.00013518937,0.0004979939,0.0002039917],"domain_scores_gemma":[0.99807596,0.0011365423,0.00016732358,0.00011555224,0.0003285213,0.0001761684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025590104,0.0005247912,0.0002910752,0.0025953848,0.0012522342,0.009184916,0.0006996455,0.00092209096,0.005447554],"category_scores_gemma":[0.0042304723,0.00022975454,0.00069635443,0.0038119035,0.0023622112,0.0062176078,0.0026672436,0.0013536942,0.00064084266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012416374,0.00026640084,0.015628299,0.0002161878,0.000034778288,0.0008975506,0.025926387,0.016097015,0.0013228667,0.8471554,0.006429016,0.08590189],"study_design_scores_gemma":[0.000049080987,0.00037522416,0.04915169,0.0010394523,0.00007539316,0.0009699772,0.15677555,0.20634851,0.002101796,0.2941939,0.2887403,0.00017909164],"about_ca_topic_score_codex":0.0133039495,"about_ca_topic_score_gemma":0.0104203,"teacher_disagreement_score":0.0133039495,"about_ca_system_score_codex":0.0060900706,"about_ca_system_score_gemma":0.0018445802,"threshold_uncertainty_score":0.04418677},"labels":[],"label_agreement":null},{"id":"W70314429","doi":"10.5430/ijfr.v7n1p50","title":"An Assessment on Graham’s Approach for Stock Selection: The Case of Turkey","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Financial economics; Stock (firearms); Portfolio; Intrinsic value (animal ethics); Dividend; Economics; Financial crisis; Value (mathematics); Actuarial science; Business; Finance; Computer science; Keynesian economics; Political science; Law","score_opus":0.21149496082027275,"score_gpt":0.42942315264539677,"score_spread":0.21792819182512402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W70314429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9199852,0.004723508,0.020735268,0.0048297844,0.0001055256,0.0002122379,0.0002619559,0.00003945272,0.04910711],"genre_scores_gemma":[0.9864135,0.00068675214,0.011223609,0.00013143205,0.000029554578,0.000029801862,0.00008754778,0.000008018102,0.001389794],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970764,0.0014155088,0.00015677177,0.00024252126,0.0008178695,0.0002909398],"domain_scores_gemma":[0.9939116,0.0034150137,0.00048534168,0.00019194555,0.0018269048,0.00016920132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045054173,0.00040011777,0.00039709403,0.0026929087,0.000960637,0.0025459684,0.00072173093,0.0009725527,0.0014110396],"category_scores_gemma":[0.009611577,0.000114975905,0.0006383726,0.0030584359,0.0010098293,0.0013450109,0.00089376833,0.0007937877,0.00014751402],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064627593,0.00035720816,0.3935424,0.0006489106,0.00035123446,0.0070812055,0.005965877,0.06391723,0.002882176,0.20421855,0.012108922,0.30828014],"study_design_scores_gemma":[0.00017266719,0.0011495249,0.40747267,0.0010249055,0.00047093673,0.0032014062,0.022375619,0.4302099,0.004391659,0.08349589,0.045710996,0.00032378247],"about_ca_topic_score_codex":0.053654153,"about_ca_topic_score_gemma":0.042679776,"teacher_disagreement_score":0.053654153,"about_ca_system_score_codex":0.00465068,"about_ca_system_score_gemma":0.0019844368,"threshold_uncertainty_score":0.10668373},"labels":[],"label_agreement":null},{"id":"W7032790018","doi":"","title":"DIY Lessons (2006)","year":2006,"lang":"en","type":"other","venue":"University of the Arts London Research Online (University of the Arts London)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; Liquation; TSG101; Diafiltration; Dysgeusia; Emperipolesis; Fusible alloy; Pretext","score_opus":0.054504376642366605,"score_gpt":0.2466848970245659,"score_spread":0.1921805203821993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7032790018","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021201938,0.0008889875,0.00032075262,0.0019887276,0.00064524706,0.00006282407,0.0016983622,0.00025331674,0.9920216],"genre_scores_gemma":[0.005698325,0.00040222186,0.00035347996,0.00041844306,0.000060137878,0.000019517469,0.0005510161,0.000098542485,0.9923983],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99948394,0.000048656624,0.000023006,0.0000901181,0.00022078525,0.00013346536],"domain_scores_gemma":[0.9993061,0.000046104764,0.0000334469,0.00005046311,0.00020778835,0.00035607044],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006492953,0.0005464275,0.00021416263,0.0013124875,0.0027877197,0.0035808757,0.0007263581,0.0012078978,0.3375193],"category_scores_gemma":[0.0015197592,0.00022166078,0.00024288362,0.0011714475,0.00073629874,0.002124389,0.0024696963,0.0015093351,0.09942367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046742156,0.00006171553,0.0006807994,0.00012780198,0.000001958555,0.00014851101,0.0015035378,0.000054833225,0.00024838035,0.024642395,0.8620681,0.11041516],"study_design_scores_gemma":[0.0000012284373,0.0000039926067,0.00044729066,0.0000240298,1.9776705e-7,0.00003096914,0.00015698938,0.000004980493,0.000044802477,0.00028475487,0.99899954,0.0000013032576],"about_ca_topic_score_codex":0.01735186,"about_ca_topic_score_gemma":0.092082635,"teacher_disagreement_score":0.3375193,"about_ca_system_score_codex":0.0033013679,"about_ca_system_score_gemma":0.0029133335,"threshold_uncertainty_score":0.9449483},"labels":[],"label_agreement":null},{"id":"W7033529773","doi":"","title":"Report of the Committee of Inquiry on the Case Involving Dr. Nancy Olivieri, the Hospital for Sick Children, the University of Toronto, and Apotex Inc","year":2001,"lang":"en","type":"other","venue":"DigitalGeorgetown (Georgetown University Library)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"MEDLINE; Public health; Government (linguistics); Danish","score_opus":0.013674817673029669,"score_gpt":0.16853242443150515,"score_spread":0.15485760675847549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7033529773","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015348289,0.0067787976,0.0020809406,0.59852165,0.0173024,0.00057922717,0.0010833933,0.00012765062,0.3581777],"genre_scores_gemma":[0.07153095,0.012590709,0.003667381,0.16058579,0.010246258,0.00045673706,0.0011437036,0.0002148935,0.7395636],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990534,0.00019917739,0.00009118135,0.000114350136,0.0003222874,0.0002195708],"domain_scores_gemma":[0.9964185,0.0010330599,0.00022319956,0.00020984901,0.0014744039,0.0006409474],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00105478,0.000555512,0.00030505215,0.0013050435,0.004745693,0.0013673622,0.001343419,0.010791997,0.03204495],"category_scores_gemma":[0.011723897,0.00043171193,0.00048244072,0.00072305097,0.0012377417,0.0011679762,0.0014259171,0.009390416,0.0060009076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020127107,0.000028731634,0.0011368627,0.000042728516,0.000004496973,0.013388461,0.00061549747,0.00009809192,0.00028071462,0.004387076,0.9701258,0.009871444],"study_design_scores_gemma":[0.00001506733,0.000022192811,0.0044023604,0.0003900046,0.000019513252,0.012850971,0.0033031953,0.00020947515,0.0004614076,0.002673507,0.9756275,0.000024836168],"about_ca_topic_score_codex":0.05428066,"about_ca_topic_score_gemma":0.120244905,"teacher_disagreement_score":0.99571383,"about_ca_system_score_codex":0.004286199,"about_ca_system_score_gemma":0.0073464215,"threshold_uncertainty_score":0.10792947},"labels":[],"label_agreement":null},{"id":"W7033709455","doi":"","title":"Ribonucleoprotein complexes and protein arginine methylation : a role in diseases of the central nervous sytem","year":2008,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"RNA-binding protein; Ribonucleoprotein; Central nervous system; Gene isoform; RNA splicing; Alternative splicing; Plasma protein binding; RNA; Arginine; Identification (biology)","score_opus":0.0044483421026611306,"score_gpt":0.12706866370980893,"score_spread":0.12262032160714781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7033709455","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34704706,0.461928,0.006132746,0.015662646,0.0004110943,0.000080997765,0.002097651,0.0003909383,0.16624886],"genre_scores_gemma":[0.83074665,0.104156636,0.004060343,0.00068499474,0.00027019033,0.000025627756,0.00045494287,0.000043935775,0.059556644],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999316,0.000013331998,0.0000054971265,0.000012483448,0.000023012395,0.000014152264],"domain_scores_gemma":[0.9998839,0.000024291427,0.000025857078,0.000009439541,0.00002299625,0.00003348849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023416286,0.00028574697,0.00028966554,0.00075976754,0.00032473137,0.0007479421,0.00023916569,0.00045490134,0.0069009555],"category_scores_gemma":[0.00023516675,0.00006534695,0.00011814813,0.0006716279,0.00062398094,0.00028341255,0.00036781636,0.00034335646,0.0008018769],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002399176,0.00034073697,0.07569744,0.0017708812,0.00024100397,0.00981132,0.0011765234,0.002123133,0.09520515,0.077858225,0.049180385,0.68419605],"study_design_scores_gemma":[0.00020362526,0.00045317662,0.2805508,0.0005928475,0.00030316127,0.019453796,0.0011387293,0.0038199057,0.04429037,0.07616127,0.5729357,0.00009664366],"about_ca_topic_score_codex":0.011341085,"about_ca_topic_score_gemma":0.01614254,"teacher_disagreement_score":0.011341085,"about_ca_system_score_codex":0.0010825807,"about_ca_system_score_gemma":0.0006027231,"threshold_uncertainty_score":0.023086011},"labels":[],"label_agreement":null},{"id":"W7037317258","doi":"","title":"$0.27 Earnings Per Share Expected for Gibraltar Industries (ROCK) This Quarter","year":2018,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Productivity; Investment (military)","score_opus":0.03323234430196962,"score_gpt":0.21750839484021728,"score_spread":0.18427605053824767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037317258","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056019153,0.0028063415,0.0014109664,0.004383293,0.0010349771,0.00018419606,0.11342595,0.0032436273,0.8174916],"genre_scores_gemma":[0.10063997,0.0021933904,0.00067049824,0.00066661794,0.000294808,0.00009145901,0.07341518,0.00038970256,0.82163835],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997491,0.000021891017,0.000012396826,0.000027004022,0.00011790609,0.00007169195],"domain_scores_gemma":[0.9996557,0.000027295539,0.000051263643,0.000026777832,0.00017320648,0.000065836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033456742,0.00047780623,0.00018178138,0.0015945049,0.00048242163,0.0014638486,0.00048751268,0.0004928344,0.13128172],"category_scores_gemma":[0.0015146709,0.00012143947,0.0003231486,0.0010809741,0.00017931515,0.00051887217,0.0006849856,0.0005812224,0.07426713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027139363,0.00008682861,0.007502213,0.0001809215,0.000017412187,0.000113131755,0.000105238614,0.00053112,0.0007876316,0.009630563,0.88069147,0.10008217],"study_design_scores_gemma":[0.000055915774,0.00011522273,0.04617347,0.00014051113,0.000013844797,0.00021948414,0.00025516612,0.000723441,0.0014023982,0.0016960227,0.94918954,0.000015074651],"about_ca_topic_score_codex":0.026949624,"about_ca_topic_score_gemma":0.029656187,"teacher_disagreement_score":0.13128172,"about_ca_system_score_codex":0.0011250167,"about_ca_system_score_gemma":0.000924452,"threshold_uncertainty_score":0.4391811},"labels":[],"label_agreement":null},{"id":"W7037431214","doi":"","title":"$1.00 Earnings Per Share Expected for Gibraltar Industries Inc (NASDAQ:ROCK) This Quarter","year":2020,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Payment; Revenue","score_opus":0.03285585192358674,"score_gpt":0.21157330633214966,"score_spread":0.1787174544085629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037431214","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042450833,0.0013282215,0.00062319526,0.0033878745,0.0020295351,0.0001359761,0.042125072,0.0028167567,0.94330835],"genre_scores_gemma":[0.005090014,0.000645213,0.00024428294,0.0005257108,0.00021718895,0.000046093286,0.012971728,0.00022309387,0.9800367],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99984455,0.000011402557,0.0000071405343,0.000020976073,0.000075765645,0.000040040733],"domain_scores_gemma":[0.99960524,0.000022176602,0.00002978496,0.000026670716,0.00017694672,0.00013915371],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002791436,0.0009089373,0.00031043525,0.001465274,0.0007316417,0.0017990231,0.0005308917,0.0010140192,0.47486693],"category_scores_gemma":[0.0010642553,0.00019957664,0.00033897976,0.00078832754,0.00029716667,0.0007742266,0.0009898122,0.00093700615,0.45930627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046016976,0.000027177557,0.00027910428,0.00004549132,0.0000013771239,0.000013486959,0.0000065208587,0.000085933905,0.00016807432,0.0012254651,0.9635925,0.034508713],"study_design_scores_gemma":[0.00003125285,0.00005332832,0.004495175,0.00008922836,0.0000025257425,0.00004117456,0.000037321024,0.00031681723,0.00027587946,0.00066062727,0.9939897,0.0000069978955],"about_ca_topic_score_codex":0.024117552,"about_ca_topic_score_gemma":0.029481953,"teacher_disagreement_score":0.5251331,"about_ca_system_score_codex":0.0011053955,"about_ca_system_score_gemma":0.0012740575,"threshold_uncertainty_score":0.7490386},"labels":[],"label_agreement":null},{"id":"W7037536373","doi":"","title":"Diversification, Canadian Style: How many stocks are enough for diversifying Canadian institutional portfolios?","year":2014,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Portfolio; Stock (firearms); Contrast (vision); Systematic risk; Asset allocation","score_opus":0.045729808740577964,"score_gpt":0.24411752570811904,"score_spread":0.19838771696754107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037536373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823828,0.0006715636,0.0013671275,0.0012680168,0.000019395224,0.00003354203,0.002158952,0.0000307937,0.012067752],"genre_scores_gemma":[0.99707305,0.00023060414,0.00064917194,0.000082414575,0.000004560039,0.0000037462742,0.0007782689,0.0000055250985,0.0011727244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967265,0.000028889304,0.000010361312,0.000058610938,0.00010041288,0.0001290498],"domain_scores_gemma":[0.998547,0.00020842944,0.0003132817,0.000082108694,0.00054599845,0.00030311383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009730908,0.00024759967,0.00029991614,0.00061877945,0.0010978924,0.0020163034,0.00065699895,0.00046248626,0.0026572088],"category_scores_gemma":[0.007833629,0.00013955834,0.0004432356,0.0011428734,0.0008427186,0.0007714296,0.00048953015,0.0005010725,0.00013545644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006083731,0.00006962424,0.75119835,0.00011555257,0.00031960118,0.00036230136,0.00047774593,0.15144624,0.0016184703,0.020819837,0.013104779,0.05985914],"study_design_scores_gemma":[0.00013840394,0.00015259406,0.8220271,0.00009376031,0.0002669236,0.00019808307,0.0018022441,0.14780295,0.0020035238,0.01204576,0.013371686,0.00009693366],"about_ca_topic_score_codex":0.93904626,"about_ca_topic_score_gemma":0.95930743,"teacher_disagreement_score":0.060953736,"about_ca_system_score_codex":0.011078031,"about_ca_system_score_gemma":0.012001055,"threshold_uncertainty_score":0.12262535},"labels":[],"label_agreement":null},{"id":"W7038175474","doi":"","title":"Hawaiian Holdings Reports 2016 Fourth Quarter and Full Year Financial Results","year":2017,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); Work (physics); Payment","score_opus":0.019733597198038917,"score_gpt":0.20590688543324132,"score_spread":0.1861732882352024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038175474","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007103875,0.002334243,0.000762738,0.0054587494,0.0024502443,0.00021880305,0.5022012,0.0014758788,0.47799426],"genre_scores_gemma":[0.011588416,0.0016325095,0.00046352381,0.00031163913,0.0005192079,0.00019398173,0.14681229,0.00052507495,0.83795327],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986519,0.00006223145,0.00008416013,0.00009363686,0.00086907006,0.00023906791],"domain_scores_gemma":[0.9952697,0.0002451467,0.0004217338,0.0004321032,0.0029516718,0.0006795785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001799459,0.00089541083,0.0005588308,0.0062808124,0.001190457,0.004488517,0.0010725101,0.0009850604,0.2236997],"category_scores_gemma":[0.0062049166,0.00038853363,0.0006430267,0.0063073193,0.00040268496,0.002180105,0.0019701284,0.0015383243,0.15646514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004057621,0.00003327614,0.0020548352,0.00006537746,0.000009060626,0.00002361293,0.00002952402,0.00014374121,0.000054810003,0.0016299721,0.9822205,0.0136948],"study_design_scores_gemma":[0.000032604068,0.000019862311,0.03189545,0.00019261101,0.000017060898,0.000028436745,0.00024429816,0.0005409738,0.0006368284,0.0021718943,0.9641852,0.00003471529],"about_ca_topic_score_codex":0.115937285,"about_ca_topic_score_gemma":0.15829356,"teacher_disagreement_score":0.2236997,"about_ca_system_score_codex":0.0034710437,"about_ca_system_score_gemma":0.0075264466,"threshold_uncertainty_score":0.74835},"labels":[],"label_agreement":null},{"id":"W7042692342","doi":"","title":"Power Co. of Canada (TSE:POW) Stock Crosses Above Fifty Day Moving Average of $32.74","year":2020,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Moving average; Power (physics); Names of the days of the week","score_opus":0.015424840702178028,"score_gpt":0.20071608308162814,"score_spread":0.1852912423794501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042692342","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028224888,0.000799966,0.0005754602,0.00467198,0.0008440594,0.00014872412,0.058503244,0.001059138,0.9305749],"genre_scores_gemma":[0.0061491234,0.00067459146,0.0002977527,0.0005801678,0.00005620743,0.000024759032,0.012191305,0.0002070245,0.97981906],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994355,0.000014134293,0.000009159581,0.00003936762,0.0003086491,0.00019310862],"domain_scores_gemma":[0.99848145,0.000025607464,0.000027796717,0.000040680337,0.0010747437,0.00034974975],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038699456,0.0009646616,0.00037502096,0.0015829251,0.0031199653,0.0027713347,0.00077133765,0.0015697186,0.3053529],"category_scores_gemma":[0.0014166732,0.00038348767,0.00038135934,0.0015189832,0.00065262365,0.0010098034,0.0011040648,0.0016594842,0.11442155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019961597,0.000017799815,0.00056046905,0.00003077633,0.000002224649,0.000018933426,0.000014396129,0.00008322696,0.00007720629,0.0031162999,0.9759847,0.020074073],"study_design_scores_gemma":[0.000012602074,0.000012588572,0.0048713377,0.000066255016,0.0000030387162,0.000023340823,0.000079594705,0.00030573082,0.0002452468,0.0008404961,0.9935289,0.000010818342],"about_ca_topic_score_codex":0.90288424,"about_ca_topic_score_gemma":0.9614845,"teacher_disagreement_score":0.90288424,"about_ca_system_score_codex":0.012236088,"about_ca_system_score_gemma":0.031085659,"threshold_uncertainty_score":0.99082977},"labels":[],"label_agreement":null},{"id":"W7042981496","doi":"","title":"RWE beats first quarter forecasts on strong trading performance","year":2019,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Measure (data warehouse); Consensus forecast","score_opus":0.03333931748058183,"score_gpt":0.19967138582922836,"score_spread":0.16633206834864653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042981496","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10159587,0.009135713,0.028875155,0.046513177,0.016521541,0.00010200507,0.045792777,0.0063705123,0.7450933],"genre_scores_gemma":[0.64795697,0.003502561,0.008899473,0.0038036748,0.008085754,0.00005983564,0.031989098,0.0027891982,0.29291344],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990847,0.00020239441,0.000042441454,0.0001300322,0.00043770552,0.000102716804],"domain_scores_gemma":[0.9921069,0.0022482004,0.0009649022,0.0007656627,0.003120207,0.0007941726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032843938,0.0007403183,0.00046577837,0.0016634047,0.00034821496,0.0031255556,0.0005137089,0.0012346803,0.042081665],"category_scores_gemma":[0.023311319,0.00017696606,0.00026709927,0.0010705425,0.00029599297,0.002216997,0.0016853084,0.0015140106,0.023289787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046667844,0.00008374116,0.021398218,0.00013641191,0.00006236429,0.00008969211,0.000091192436,0.005372527,0.00060762296,0.016294692,0.65868324,0.29671365],"study_design_scores_gemma":[0.00014648361,0.00030284483,0.10633461,0.0008728791,0.00008970519,0.00021584165,0.00048654678,0.056970287,0.0047915983,0.05497734,0.7746181,0.00019377003],"about_ca_topic_score_codex":0.008291112,"about_ca_topic_score_gemma":0.011056132,"teacher_disagreement_score":0.042081665,"about_ca_system_score_codex":0.0007870339,"about_ca_system_score_gemma":0.00060273573,"threshold_uncertainty_score":0.14077717},"labels":[],"label_agreement":null},{"id":"W7042986641","doi":"","title":"Q4 2023 EPS Estimates for Canadian Solar Inc. (NASDAQ:CSIQ) Raised by Zacks Research","year":2023,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Air pollution; Term (time); Statistical analysis; Atmosphere (unit)","score_opus":0.07654789584854771,"score_gpt":0.29017531331552054,"score_spread":0.21362741746697284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042986641","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024135828,0.002257226,0.0018243734,0.02149138,0.005106517,0.0003699364,0.48591235,0.0015586466,0.47906595],"genre_scores_gemma":[0.014992361,0.0020468836,0.002726448,0.0038046916,0.0006491891,0.00032863146,0.12367819,0.0012063803,0.8505672],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952597,0.00014080643,0.00015481442,0.00024396593,0.0036647648,0.0005359111],"domain_scores_gemma":[0.97415435,0.00092620926,0.00048119866,0.00038953012,0.023377398,0.00067117927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023036408,0.0011909935,0.00069193775,0.0055989465,0.0021324363,0.0046216804,0.0019181999,0.0022400334,0.25878274],"category_scores_gemma":[0.017391628,0.00064785377,0.00083827093,0.006051688,0.0008267747,0.002653274,0.0014927477,0.0032180042,0.07974422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017290686,0.000005496271,0.00036633978,0.000053558964,0.0000024410147,0.000010412667,0.000015303483,0.00009372857,0.000029002687,0.0029738913,0.9901979,0.006234483],"study_design_scores_gemma":[0.00001746185,0.000005809861,0.007428202,0.00015025584,0.0000060509174,0.000017995237,0.000121958554,0.00031941335,0.00033534542,0.0013763593,0.99019897,0.000022260645],"about_ca_topic_score_codex":0.8745457,"about_ca_topic_score_gemma":0.8634958,"teacher_disagreement_score":0.8745457,"about_ca_system_score_codex":0.022326473,"about_ca_system_score_gemma":0.04100214,"threshold_uncertainty_score":0.86571455},"labels":[],"label_agreement":null},{"id":"W7043610814","doi":"","title":"STR Holdings, Inc. Comments on Third Quarter and Full Year 2011 Guidance | Markets — Financial Market Summaries at SFGate","year":2011,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Financial market; Financial analysis; Market data","score_opus":0.021821828167960113,"score_gpt":0.19700294284244124,"score_spread":0.17518111467448114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043610814","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038039478,0.0015139821,0.00035729364,0.052343074,0.005237786,0.00014038086,0.00959094,0.0014400774,0.9289961],"genre_scores_gemma":[0.0008004846,0.0005603514,0.000113878334,0.0050880373,0.00048797336,0.00004451866,0.0014186506,0.00019349277,0.99129266],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99867886,0.00010152011,0.00005672917,0.00010022566,0.00080210884,0.00026054063],"domain_scores_gemma":[0.9963058,0.0007167841,0.0001845394,0.00017382424,0.0020749778,0.0005440109],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001563039,0.00062901265,0.00063075335,0.0018361423,0.0023285565,0.005441796,0.0011302264,0.0058410238,0.51315033],"category_scores_gemma":[0.007176834,0.00058518455,0.00056211866,0.0017321026,0.0005353974,0.003459839,0.0012273063,0.0036271475,0.34952214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027711044,0.0000029657035,0.000013219809,0.0000059889317,1.4343412e-7,0.0000045590427,0.0000028880872,0.0000044704107,0.000006269766,0.00039087262,0.997361,0.002204938],"study_design_scores_gemma":[0.0000058840747,0.0000039716824,0.00029331582,0.000035924215,8.759736e-7,0.000008222284,0.000027042515,0.000028153927,0.000028398046,0.00038436815,0.9991788,0.000005009901],"about_ca_topic_score_codex":0.05440595,"about_ca_topic_score_gemma":0.14148892,"teacher_disagreement_score":0.48684967,"about_ca_system_score_codex":0.0026447426,"about_ca_system_score_gemma":0.006182273,"threshold_uncertainty_score":0.69443196},"labels":[],"label_agreement":null},{"id":"W7043926420","doi":"","title":"Walking Balance Control in Different Real-World Settings: Individual-, Task-, and Environment-Based Influences","year":2024,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Power walking; Balance (ability); Preferred walking speed; Gait; Range (aeronautics); Control (management); Poison control; Range of motion","score_opus":0.007325626107810754,"score_gpt":0.15920061454328546,"score_spread":0.1518749884354747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043926420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993967,0.00009890209,0.00010546111,0.00000813266,0.0000021154717,0.0000062967483,0.000039263625,0.0000024226774,0.00034058007],"genre_scores_gemma":[0.9996965,0.0000357505,0.00012576712,0.00000770129,0.000002134948,0.000004197834,0.000037966125,0.0000020894656,0.00008789822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950016,0.0001227219,0.00005116312,0.00012469907,0.0001255949,0.000075707125],"domain_scores_gemma":[0.9985428,0.000569328,0.0003981988,0.0000799658,0.0001755424,0.00023418949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004875333,0.00024448676,0.0002624299,0.00037103405,0.00023439314,0.00076869864,0.00016681557,0.00026601486,0.001492769],"category_scores_gemma":[0.0022616156,0.00013407451,0.00017349682,0.00023408001,0.00029487416,0.00019595627,0.00037328727,0.00015852325,0.00016381452],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036301254,0.00020615163,0.97550553,0.000063369924,0.00014682274,0.00025309005,0.0011659571,0.00013227039,0.011295596,0.00002962702,0.00008104332,0.010757492],"study_design_scores_gemma":[0.0000025693835,0.000116056974,0.99920195,0.0000027780761,0.0000108102495,0.00008033705,0.0002267616,0.000064459135,0.00023441025,0.000010447599,0.00004728374,0.0000021919143],"about_ca_topic_score_codex":0.0020825386,"about_ca_topic_score_gemma":0.005356438,"teacher_disagreement_score":0.0020825386,"about_ca_system_score_codex":0.00014132819,"about_ca_system_score_gemma":0.0001131735,"threshold_uncertainty_score":0.0049937963},"labels":[],"label_agreement":null},{"id":"W7045291308","doi":"","title":"Alternative risk estimators in cases of extreme thin trading: Canadian evidence","year":2005,"lang":"en","type":"article","venue":"Queensland's institutional digital repository (The University of Queensland)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estimator; Censoring (clinical trials); Regression; Regression analysis; Sample (material); Data set; Standard error; Ordinary least squares","score_opus":0.04120496133424368,"score_gpt":0.20292267291776594,"score_spread":0.16171771158352227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7045291308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.797831,0.0036203011,0.1777168,0.0015032458,0.000034502995,0.00014072972,0.0006321783,0.00013194789,0.018389339],"genre_scores_gemma":[0.9733584,0.00074247323,0.024753453,0.00006292113,0.000015696281,0.00001699988,0.00025090878,0.000013837,0.0007853322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946795,0.0024093566,0.00027786018,0.00047378318,0.0018803121,0.00027919706],"domain_scores_gemma":[0.9264478,0.053999584,0.0063450863,0.004896682,0.0077228197,0.0005879998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014917627,0.00036161765,0.00047448959,0.002335549,0.00093579234,0.0013820668,0.0014748857,0.00048646843,0.0022704275],"category_scores_gemma":[0.092452735,0.00017825516,0.0004438478,0.0025774536,0.0018507934,0.0014272083,0.001301778,0.0010822049,0.00016586173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011344451,0.00010911853,0.4398688,0.00040309364,0.0005439398,0.0009944097,0.0039508627,0.04628423,0.0013394464,0.15284416,0.0032870614,0.3492404],"study_design_scores_gemma":[0.00041714756,0.0005243202,0.5279538,0.00061354396,0.00063954666,0.0015646772,0.0069627776,0.26140037,0.00784165,0.16559274,0.026158422,0.00033101052],"about_ca_topic_score_codex":0.31296727,"about_ca_topic_score_gemma":0.29516637,"teacher_disagreement_score":0.6870327,"about_ca_system_score_codex":0.002022368,"about_ca_system_score_gemma":0.002503444,"threshold_uncertainty_score":0.6222912},"labels":[],"label_agreement":null},{"id":"W7045592520","doi":"","title":"ATN Reports Fourth Quarter and Full Year 2020 Results \\n\\tTamar Securities Financial Portal Home","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payment; Broker-dealer; Debt; Financial Audit","score_opus":0.012514748441616364,"score_gpt":0.18945816891003397,"score_spread":0.1769434204684176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7045592520","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001316185,0.0008283657,0.0005275528,0.003390836,0.0064342376,0.00033137124,0.20019907,0.0024431278,0.7845294],"genre_scores_gemma":[0.0017055314,0.000445837,0.00039314313,0.0006582665,0.0004970819,0.00014934066,0.058226213,0.0006968921,0.93722785],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987263,0.00007063238,0.0000383725,0.000079374055,0.0008916936,0.00019361346],"domain_scores_gemma":[0.99726856,0.000162292,0.00012096213,0.00018022927,0.0013656871,0.0009022561],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001756738,0.0011093176,0.0008216454,0.0026129186,0.001097767,0.0060304543,0.0011232327,0.0017827539,0.5812773],"category_scores_gemma":[0.0034683545,0.0004098594,0.0009054698,0.0018465486,0.00030694078,0.0017736196,0.0017047144,0.0016723904,0.5888739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028967796,0.000020430549,0.00009151736,0.000028174105,0.0000014539035,0.0000054905336,0.0000019149,0.000040215928,0.000041452015,0.00028063558,0.99248564,0.006974136],"study_design_scores_gemma":[0.000037838257,0.00003751538,0.0019828195,0.00007526587,0.000005354184,0.000010830085,0.000024495259,0.0002456585,0.00021791054,0.0007518136,0.9965976,0.00001284184],"about_ca_topic_score_codex":0.021870673,"about_ca_topic_score_gemma":0.039642423,"teacher_disagreement_score":0.5812773,"about_ca_system_score_codex":0.0018730261,"about_ca_system_score_gemma":0.004911981,"threshold_uncertainty_score":0.5972571},"labels":[],"label_agreement":null},{"id":"W7045593534","doi":"","title":"Analysts Set Power Co. of Canada (OTCMKTS:PWCDF) Price Target at $46.71","year":2022,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Power (physics); Data set; Measure (data warehouse)","score_opus":0.01545330535011736,"score_gpt":0.19547755241114795,"score_spread":0.1800242470610306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7045593534","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00080393854,0.00051163475,0.0003995582,0.0049297726,0.0008189431,0.00009521688,0.013384603,0.00074044423,0.9783159],"genre_scores_gemma":[0.0016085788,0.00016921818,0.00010330555,0.00037494858,0.000050871688,0.000011466434,0.0019764525,0.00013847242,0.99556655],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904853,0.000017223552,0.000012223838,0.00006368435,0.00067493314,0.00018336921],"domain_scores_gemma":[0.99798465,0.0000740175,0.000030153784,0.000053343316,0.0014561553,0.00040167524],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00052881293,0.0009072194,0.0004906261,0.002049206,0.0030472628,0.0047007455,0.0009096443,0.0027569458,0.4076899],"category_scores_gemma":[0.002411449,0.00041915514,0.0003825269,0.0014996199,0.0008000855,0.0011709321,0.0009804813,0.0025614824,0.23531893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017834109,0.000011033288,0.000144635,0.000016710415,0.0000010138923,0.000015314916,0.000013003057,0.000056400404,0.000099825425,0.0032429132,0.9857442,0.010637079],"study_design_scores_gemma":[0.0000099224135,0.0000068416184,0.0013958067,0.000029166626,0.0000015931053,0.000011716317,0.000050743805,0.0002603121,0.00022656632,0.00087099464,0.9971264,0.00000984744],"about_ca_topic_score_codex":0.7265898,"about_ca_topic_score_gemma":0.87749195,"teacher_disagreement_score":0.4076899,"about_ca_system_score_codex":0.010149182,"about_ca_system_score_gemma":0.020041237,"threshold_uncertainty_score":0.84485847},"labels":[],"label_agreement":null},{"id":"W7047101165","doi":"","title":"2 Great Canadian Stocks for Under $30 a Share - NYSE (NYSE0001) News","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Shares outstanding; Market share; Government (linguistics)","score_opus":0.054344563100097686,"score_gpt":0.23133538293595626,"score_spread":0.17699081983585857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7047101165","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014986912,0.0014882485,0.00023909798,0.008433716,0.0044667404,0.0001336703,0.023619154,0.0008415896,0.9592791],"genre_scores_gemma":[0.0021197584,0.0005966115,0.00015807975,0.0010158159,0.00030206772,0.00001559962,0.004258938,0.00013797918,0.9913952],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991141,0.00001598852,0.000013038751,0.000044312925,0.000570685,0.00024197483],"domain_scores_gemma":[0.99791116,0.00005338346,0.00004796992,0.00006958919,0.0013268642,0.00059099885],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00052424445,0.00092604506,0.0004248105,0.002259271,0.0027810016,0.0051363865,0.0007304393,0.0022435864,0.37743238],"category_scores_gemma":[0.0025383316,0.00033159147,0.0006055589,0.0019777939,0.00046624546,0.0010992272,0.0011699788,0.0017833554,0.18415153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001069709,0.000005872818,0.00018035146,0.00001271558,0.0000011143317,0.000016064068,0.0000056848826,0.000019143366,0.00003148169,0.0009984635,0.9892169,0.009501532],"study_design_scores_gemma":[0.0000075638172,0.0000039602155,0.0019438269,0.000032827127,0.0000024261656,0.000011859518,0.000031514763,0.00008318577,0.00006509145,0.00032685258,0.9974843,0.0000065833447],"about_ca_topic_score_codex":0.7518569,"about_ca_topic_score_gemma":0.9175482,"teacher_disagreement_score":0.7518569,"about_ca_system_score_codex":0.0076481067,"about_ca_system_score_gemma":0.021826603,"threshold_uncertainty_score":0.8880172},"labels":[],"label_agreement":null},{"id":"W7066710873","doi":"","title":"Institutional investor behavior in X-CAPM","year":2019,"lang":"en","type":"article","venue":"MEF University Institutional Repository (MEF University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; Maastricht Economic and Social Research Institute on Innovation and Technology, United Nations University; University of California, Los Angeles; Masarykova Univerzita; National Research University Higher School of Economics; Università Bocconi; Ant Financial Services Group; Université de Bordeaux; University of Toronto; Universiteit Maastricht; University of Westminster; Universität Regensburg; University of Oxford; University of Warwick; International Fine Particle Research Institute; Vanderbilt University; London School of Economics and Political Science; Drexel University; Jinan University; University of Louisville; McGill University; Copenhagen Business School; Brandeis University; Brown University; Arizona State University; University of North Florida; Universitatea din București; Harvard University; York University; Northwestern University; Renmin University of China; National University of Singapore; Ohio State University; Mississippi State University; Princeton University; Université de Genève; George Mason University; Università degli Studi di Milano; University of Illinois at Urbana-Champaign; Institute for New Economic Thinking; University of Pennsylvania; McMaster University; Nanyang Technological University; Georgetown University; Boston College; University of Cyprus; United States Institute of Peace","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Hyporeflexia; Fusible alloy; Hemopericardium","score_opus":0.01819400729688685,"score_gpt":0.16432567115846658,"score_spread":0.14613166386157972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7066710873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8768537,0.0006431198,0.08940275,0.0032479742,0.000078605815,0.000086361906,0.0006453011,0.0002802877,0.028761804],"genre_scores_gemma":[0.9826203,0.00019262946,0.0031711606,0.00015884438,0.000045670982,0.000051620787,0.00014677932,0.00001872443,0.013594245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995079,0.00019082845,0.000016056107,0.00012635032,0.00005313466,0.0001057357],"domain_scores_gemma":[0.997999,0.00074885285,0.0007653284,0.00013000131,0.00013602599,0.00022083284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013629554,0.00048078576,0.000620161,0.0005031099,0.00039916288,0.0021369103,0.0014857781,0.0014977576,0.0060915137],"category_scores_gemma":[0.005679581,0.000338476,0.00041250643,0.00039057928,0.0007093706,0.0017929007,0.0013004632,0.0012445006,0.0004957989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032182652,0.00038722003,0.05796281,0.000110246205,0.00016840738,0.0010226817,0.0002779347,0.6143153,0.0019547364,0.30378646,0.003858357,0.015833955],"study_design_scores_gemma":[0.000040727482,0.00009675567,0.0041029966,0.000016681846,0.000026424499,0.00011477426,0.00009234816,0.9701588,0.00026831013,0.023737527,0.0013279283,0.000016735483],"about_ca_topic_score_codex":0.0063005807,"about_ca_topic_score_gemma":0.00347508,"teacher_disagreement_score":0.0063005807,"about_ca_system_score_codex":0.0010599212,"about_ca_system_score_gemma":0.00070975797,"threshold_uncertainty_score":0.020378113},"labels":[],"label_agreement":null},{"id":"W7070820237","doi":"","title":"Passive Income Alert: 2 Top Canadian Dividend Stocks for TFSA Yield Investors","year":2020,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Dividend; Dividend yield; Work (physics); Stock (firearms)","score_opus":0.03816745338505432,"score_gpt":0.2095543834877387,"score_spread":0.17138693010268438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070820237","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007376099,0.0013718619,0.0013318065,0.023400033,0.004583393,0.00034449075,0.03996544,0.004192468,0.9174344],"genre_scores_gemma":[0.014009818,0.0006176781,0.0009930267,0.0024926194,0.00051798543,0.000045432822,0.0083644595,0.0003874018,0.9725716],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991868,0.000017395645,0.000010419084,0.000035791374,0.0005416064,0.00020807229],"domain_scores_gemma":[0.99557734,0.000120225886,0.00008916206,0.000102182596,0.002837292,0.001273826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092710793,0.0008225588,0.00033052213,0.0020015494,0.0026224747,0.0045929956,0.0012115281,0.002392283,0.26375145],"category_scores_gemma":[0.0042390986,0.00027632777,0.0004607115,0.001286891,0.0004694741,0.0013871216,0.0013951927,0.001495515,0.072121315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026612233,0.000014174497,0.00063970307,0.000012627056,0.0000010716439,0.000024902558,0.000016812031,0.00003963835,0.000086665685,0.0011831964,0.9802526,0.017701952],"study_design_scores_gemma":[0.000027922051,0.000014570174,0.0064357906,0.00005038058,0.00000487448,0.00002156612,0.000138401,0.0004508908,0.00030876035,0.0011342498,0.99139297,0.000019617775],"about_ca_topic_score_codex":0.77722925,"about_ca_topic_score_gemma":0.91087186,"teacher_disagreement_score":0.26375145,"about_ca_system_score_codex":0.010821572,"about_ca_system_score_gemma":0.028373806,"threshold_uncertainty_score":0.8823365},"labels":[],"label_agreement":null},{"id":"W7070830127","doi":"","title":"Power Co. of Canada (TSE:POW) Stock Crosses Above 200 Day Moving Average of $28.30","year":2021,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Moving average; Power (physics); Stock control","score_opus":0.015675051954510286,"score_gpt":0.20761105911712027,"score_spread":0.19193600716261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070830127","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024379608,0.000476755,0.00041328993,0.0030389493,0.0004821991,0.00015019112,0.05194019,0.0007894064,0.9402711],"genre_scores_gemma":[0.005223387,0.00037459278,0.0002190382,0.00043277594,0.000038919796,0.000022645452,0.010273381,0.00018325412,0.983232],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994272,0.000015417218,0.000009912687,0.000043765704,0.00031038513,0.00019338254],"domain_scores_gemma":[0.99830806,0.000037198246,0.000029454675,0.000056102737,0.001231071,0.0003380472],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003563501,0.0008078641,0.00039994065,0.0014554871,0.0033708615,0.0026956915,0.00082816597,0.0014744898,0.3568787],"category_scores_gemma":[0.0016349738,0.00042248753,0.00038545518,0.0015931528,0.0006367523,0.00077243225,0.0010260459,0.0015940147,0.12466461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022662478,0.000018925406,0.0008034244,0.00002948776,0.0000024212231,0.000027684655,0.000019431794,0.00009562567,0.00008831185,0.003012103,0.97727907,0.018600915],"study_design_scores_gemma":[0.000015755488,0.000012969023,0.008328777,0.00007193915,0.000003272157,0.00003097279,0.00009795925,0.0004043572,0.00030714137,0.0008359931,0.9898769,0.000014044419],"about_ca_topic_score_codex":0.916755,"about_ca_topic_score_gemma":0.9708717,"teacher_disagreement_score":0.3568787,"about_ca_system_score_codex":0.011691391,"about_ca_system_score_gemma":0.026873274,"threshold_uncertainty_score":0.9173345},"labels":[],"label_agreement":null},{"id":"W7071100839","doi":"","title":"Quantum Schedules Fourth Quarter 2012 Financial Results Conference Call - FOX Carolina 21","year":2013,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Schedule; Financial management","score_opus":0.03206818613280538,"score_gpt":0.2143405486023786,"score_spread":0.18227236246957323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071100839","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010281266,0.00055909785,0.00096041313,0.005265379,0.0034185296,0.00015349312,0.0050618085,0.0015913735,0.9819618],"genre_scores_gemma":[0.0015075576,0.00015384523,0.00017670517,0.00020610144,0.00028655093,0.000029176115,0.0008443582,0.00023285943,0.9965628],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99914837,0.00008472377,0.000022347267,0.00010532556,0.00044837,0.00019090647],"domain_scores_gemma":[0.9983365,0.00017215357,0.00005862679,0.00017368374,0.0006648581,0.0005941363],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014048524,0.0009937363,0.001061268,0.002182704,0.002319527,0.006153488,0.0010575167,0.0024524028,0.7788954],"category_scores_gemma":[0.0029034452,0.00042939058,0.00069351454,0.001358341,0.0004885829,0.001893424,0.0017605753,0.0021570441,0.5696849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000341404,0.000039386832,0.00006639607,0.000018610966,0.0000016781175,0.000013146466,0.0000056891604,0.00004626166,0.00006124018,0.0016077592,0.98303705,0.015068568],"study_design_scores_gemma":[0.000033076234,0.000046625046,0.0016526404,0.000050124378,0.00000496854,0.000018510591,0.000043197342,0.0003979099,0.0002494784,0.0018610745,0.9956273,0.000015079332],"about_ca_topic_score_codex":0.011862183,"about_ca_topic_score_gemma":0.046117518,"teacher_disagreement_score":0.7788954,"about_ca_system_score_codex":0.002452958,"about_ca_system_score_gemma":0.0025784061,"threshold_uncertainty_score":0.3153789},"labels":[],"label_agreement":null},{"id":"W7071242818","doi":"","title":"Return and risk analysis of the S&amp;P 500 index options strategies","year":2015,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Sharpe ratio; Straddle; Moneyness; Risk–return spectrum; Volatility (finance); Expected return; Index (typography); Downside risk; Standard deviation","score_opus":0.02119447159688436,"score_gpt":0.18363520665817526,"score_spread":0.1624407350612909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071242818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94275314,0.0013692228,0.03708841,0.00043473925,0.000030187186,0.0000914525,0.0005506815,0.00021276937,0.017469298],"genre_scores_gemma":[0.99480695,0.00017672942,0.003163812,0.000021350892,0.000019353562,0.000021430453,0.00023727627,0.000017274064,0.0015359139],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991302,0.00024422552,0.000057804362,0.00010418906,0.00034917073,0.00011440125],"domain_scores_gemma":[0.9936295,0.003788901,0.0010003339,0.00041310827,0.00090407976,0.00026398437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023291237,0.0005815271,0.00044151634,0.002347287,0.0001864667,0.0011717193,0.00062900485,0.00054460735,0.0023649423],"category_scores_gemma":[0.013196828,0.00013834916,0.0006735621,0.0011806795,0.0004843377,0.0013525145,0.00059269357,0.0006812143,0.00035725284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001278063,0.00040593115,0.16941784,0.00018463412,0.0005306538,0.0009913776,0.00036706676,0.5554264,0.011500233,0.12967482,0.0036184168,0.12660453],"study_design_scores_gemma":[0.000026062336,0.00061075774,0.06993735,0.000023898498,0.00007565844,0.0004582643,0.00015414022,0.9047406,0.0031929915,0.01914208,0.0015760778,0.00006221523],"about_ca_topic_score_codex":0.0022976408,"about_ca_topic_score_gemma":0.0010621141,"teacher_disagreement_score":0.0023649423,"about_ca_system_score_codex":0.00094607903,"about_ca_system_score_gemma":0.00041595884,"threshold_uncertainty_score":0.012317717},"labels":[],"label_agreement":null},{"id":"W7071617189","doi":"","title":"Should 3M Stock Be Part of Your Portfolio Ahead of Third Quarter Results? – Griffon (NYSE:GFF), Federal Signal (NYSE:FSS)","year":2024,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Portfolio; Quarter (Canadian coin); Portfolio investment","score_opus":0.07485755845726676,"score_gpt":0.2662422680061676,"score_spread":0.19138470954890086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071617189","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004789084,0.0023889923,0.0020379613,0.035263628,0.004451109,0.00009780753,0.015935633,0.002369688,0.9326661],"genre_scores_gemma":[0.012763888,0.0012307508,0.0015047934,0.00316209,0.0010580998,0.000054091874,0.0075958665,0.00064172037,0.9719886],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99968636,0.000039060036,0.000017518845,0.0000330284,0.000165245,0.000058786398],"domain_scores_gemma":[0.99791366,0.00019890557,0.00015250998,0.00014793762,0.0010228705,0.00056410325],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00091986556,0.00039371537,0.00030537776,0.0010332897,0.0006788083,0.0027631642,0.0003801102,0.0016171788,0.29935873],"category_scores_gemma":[0.0051586833,0.00015526445,0.00026034995,0.0007020092,0.00021666178,0.0013794585,0.0008077222,0.0010700134,0.19489574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006448899,0.000026699994,0.0008959026,0.000022553788,0.000002551922,0.00003160601,0.000011131976,0.00007008136,0.00012522053,0.0021852944,0.9209695,0.075595066],"study_design_scores_gemma":[0.00003423893,0.000037602782,0.004590795,0.00016983002,0.00000449826,0.00007739511,0.000053240132,0.0006249443,0.00063776335,0.004543008,0.98921365,0.000013095222],"about_ca_topic_score_codex":0.0062308633,"about_ca_topic_score_gemma":0.017284788,"teacher_disagreement_score":0.29935873,"about_ca_system_score_codex":0.0010206257,"about_ca_system_score_gemma":0.0018115764,"threshold_uncertainty_score":0.99937975},"labels":[],"label_agreement":null},{"id":"W7071752196","doi":"","title":"Third quarter 2023: Weak profitability due to weak markets and one-offs - ElkemPR NewswireToday at 5:36am UTC","year":2023,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Quarter (Canadian coin); Productivity; Financial market","score_opus":0.025611894736252066,"score_gpt":0.22109129129893662,"score_spread":0.19547939656268457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071752196","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003510262,0.0016364994,0.00041462705,0.021677382,0.010917173,0.000094130664,0.023603935,0.0019869234,0.9361592],"genre_scores_gemma":[0.0056748497,0.00047651638,0.00012496469,0.0022290638,0.00071173377,0.000031240277,0.0051019248,0.0005428296,0.9851068],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99941695,0.000026174632,0.000014347139,0.000037827947,0.0003035145,0.00020122976],"domain_scores_gemma":[0.9988417,0.00007940185,0.00006593696,0.00007904305,0.00043320138,0.00050077046],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007975468,0.00073850947,0.00062716624,0.0010111935,0.0021903962,0.006875851,0.0009743204,0.0037354096,0.42828608],"category_scores_gemma":[0.0027887963,0.00035954962,0.00067835563,0.00091415504,0.00046081207,0.0017718188,0.0019175693,0.003871586,0.25516716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002875427,0.00001492287,0.00023234355,0.000010188321,0.0000010406516,0.000040725696,0.000005694358,0.000032990396,0.000033455126,0.0005623162,0.99218386,0.006853766],"study_design_scores_gemma":[0.00003081009,0.000026804548,0.006886029,0.000081926926,0.0000050552208,0.0000725507,0.0001362642,0.00043037377,0.00033435904,0.0022929332,0.98968375,0.000019183293],"about_ca_topic_score_codex":0.04864244,"about_ca_topic_score_gemma":0.1458099,"teacher_disagreement_score":0.5717139,"about_ca_system_score_codex":0.0026950277,"about_ca_system_score_gemma":0.0031304576,"threshold_uncertainty_score":0.81548053},"labels":[],"label_agreement":null},{"id":"W7071811225","doi":"","title":"Three Essays on Financial Markets","year":2020,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Emerging markets; Corporate governance; Portfolio; Financial market; Stock market; Position (finance); Stock (firearms); Downside risk","score_opus":0.03953925194962074,"score_gpt":0.2433953805235079,"score_spread":0.20385612857388716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071811225","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051534656,0.11230403,0.0052164164,0.48090777,0.13121274,0.0001514211,0.000652945,0.00025993583,0.2641413],"genre_scores_gemma":[0.09034512,0.111845315,0.00614582,0.16489686,0.15531132,0.00058116665,0.0010388509,0.000552404,0.46928313],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9979115,0.0005547638,0.00014378449,0.00025620306,0.00089279824,0.00024091682],"domain_scores_gemma":[0.9889636,0.0059252107,0.0006824179,0.00047596038,0.0028500773,0.0011027078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003229091,0.001374887,0.0009441107,0.003388221,0.003717789,0.0077369036,0.0010829872,0.0036366708,0.024463512],"category_scores_gemma":[0.019414019,0.00037481455,0.0010489722,0.002607903,0.00597931,0.008622971,0.0036284144,0.0073383334,0.00703639],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000385191,0.000061479426,0.000376725,0.00027845448,0.000014909654,0.000140727,0.0016072723,0.00017929907,0.00021234113,0.14363986,0.81387705,0.039573353],"study_design_scores_gemma":[0.000010672727,0.000026187176,0.00050959265,0.00069726224,0.0000054819475,0.00010264453,0.0011287599,0.00011510759,0.000078919526,0.045376215,0.9519288,0.000020217094],"about_ca_topic_score_codex":0.0015543374,"about_ca_topic_score_gemma":0.0017537636,"teacher_disagreement_score":0.024463512,"about_ca_system_score_codex":0.0038039049,"about_ca_system_score_gemma":0.0023010164,"threshold_uncertainty_score":0.08183855},"labels":[],"label_agreement":null},{"id":"W7072016603","doi":"","title":"Tesla Stock Price Guesses Following Quarter 1 Financials Call, + Model 3 Production Guesses | CleanTechnica","year":2018,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Production model; Quarter (Canadian coin); Production (economics)","score_opus":0.035262769921734785,"score_gpt":0.23767427079288284,"score_spread":0.20241150087114806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7072016603","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2545342,0.001121397,0.108510904,0.011781426,0.0031287498,0.00034277802,0.18350865,0.051447302,0.38562462],"genre_scores_gemma":[0.70784014,0.00037970545,0.025397278,0.00068450434,0.00054949877,0.00023003979,0.10598839,0.0032452866,0.1556851],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996271,0.000060903734,0.000018101897,0.00009749985,0.00013219938,0.00006419485],"domain_scores_gemma":[0.99791664,0.00084169256,0.00014667066,0.00050275313,0.00046965768,0.00012259127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009696064,0.00065468537,0.00052754453,0.00056909234,0.00048297882,0.0022814895,0.0009800125,0.0012206818,0.098253],"category_scores_gemma":[0.010351589,0.00049300474,0.00064801896,0.00040722787,0.0002762061,0.0016984629,0.0006944256,0.0014305164,0.037299875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013440221,0.0002399714,0.025170254,0.00017015124,0.00011055503,0.00021610374,0.000091952315,0.11940322,0.0011334835,0.020599134,0.72600156,0.10551975],"study_design_scores_gemma":[0.0004593859,0.00018775716,0.02154433,0.00015849886,0.00006732849,0.00016848688,0.00016267419,0.8075992,0.00943296,0.033457495,0.12662728,0.00013466974],"about_ca_topic_score_codex":0.019097181,"about_ca_topic_score_gemma":0.02629038,"teacher_disagreement_score":0.098253,"about_ca_system_score_codex":0.0008342671,"about_ca_system_score_gemma":0.0010038897,"threshold_uncertainty_score":0.32868904},"labels":[],"label_agreement":null},{"id":"W7084084937","doi":"10.6084/m9.figshare.c.8064921","title":"Deciding on the location for receiving parenteral antimicrobial therapy: development and preliminary testing of a patient decision aid","year":2025,"lang":"en","type":"other","venue":"Figshare","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Decision aids; Usability; Decision support system; Health professionals; Test (biology); Health care; Emergency department; Clinical decision support system","score_opus":0.06713424913123968,"score_gpt":0.23396113466491575,"score_spread":0.16682688553367608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084084937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88736254,0.0011626953,0.07234268,0.0030151736,0.00033007498,0.020040521,0.0010715066,0.00042336877,0.014251505],"genre_scores_gemma":[0.4474264,0.0009469349,0.53915256,0.0009774189,0.000045289875,0.008056756,0.0006810324,0.00005417951,0.0026594677],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.96629566,0.02710694,0.0027705615,0.0007086434,0.0025188029,0.00059938285],"domain_scores_gemma":[0.8716083,0.1134434,0.0021526976,0.00183324,0.009133679,0.0018287087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.038962197,0.0008299344,0.00065341155,0.0011682833,0.0010708653,0.0035155618,0.0015811657,0.0013587764,0.004080577],"category_scores_gemma":[0.0750884,0.00041871582,0.0007992153,0.00079488487,0.0013423535,0.002136704,0.0026748104,0.0013523084,0.0007713021],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004640525,0.008613002,0.0514627,0.014491152,0.00024151245,0.0026754888,0.1276406,0.00807009,0.015795348,0.013108202,0.014600692,0.73866075],"study_design_scores_gemma":[0.0063508647,0.051348455,0.053093404,0.021558546,0.0023663829,0.0077922526,0.22710876,0.06906101,0.12570181,0.024317391,0.40973505,0.0015661299],"about_ca_topic_score_codex":0.00068094005,"about_ca_topic_score_gemma":0.0012632175,"teacher_disagreement_score":0.038962197,"about_ca_system_score_codex":0.0020488882,"about_ca_system_score_gemma":0.006900364,"threshold_uncertainty_score":0.20605427},"labels":[],"label_agreement":null},{"id":"W7084170391","doi":"","title":"Geographic Information System Analyses of Precontact Stone Features at the Forks of the South Saskatchewan and Red Deer Rivers","year":2025,"lang":"en","type":"article","venue":"University Library (University of Saskatchewan)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Viewshed analysis; Stone tool; Feature (linguistics); Geographic information system; Spatial analysis; Field (mathematics); Digital elevation model; Terrain","score_opus":0.009550408132823205,"score_gpt":0.1599653154529969,"score_spread":0.15041490732017368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084170391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9678183,0.00009246176,0.0005028366,0.00023585913,0.0000062922704,0.00009999493,0.021249656,0.000033170476,0.00996127],"genre_scores_gemma":[0.9691691,0.00025051454,0.003187106,0.00005838605,0.0000026038583,0.00012261845,0.01911341,0.00001376195,0.008082472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999453,0.000093902076,0.000043969863,0.00007754021,0.00019347625,0.00013812179],"domain_scores_gemma":[0.99760604,0.0004046468,0.00022391483,0.00014540642,0.0014716511,0.00014821393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007447912,0.00017214706,0.00017026564,0.0038147836,0.0008630061,0.0013926757,0.00043594275,0.00018307728,0.0028733737],"category_scores_gemma":[0.0025168005,0.00015127457,0.00024550897,0.012104371,0.00038698054,0.00026430187,0.0007970158,0.00033077778,0.0003958115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008138224,0.00004979486,0.9366924,0.00009313886,0.000107646185,0.00028318018,0.0043702815,0.0044568772,0.0016279648,0.0030211746,0.008317137,0.040898975],"study_design_scores_gemma":[0.0000042063957,0.000010004666,0.98315847,0.00003573561,0.000018439836,0.000021252072,0.008306633,0.0020143194,0.00033884283,0.00015985468,0.0059174085,0.00001479261],"about_ca_topic_score_codex":0.9265872,"about_ca_topic_score_gemma":0.9797291,"teacher_disagreement_score":0.073412776,"about_ca_system_score_codex":0.00818506,"about_ca_system_score_gemma":0.012984214,"threshold_uncertainty_score":0.14769018},"labels":[],"label_agreement":null},{"id":"W7084591113","doi":"10.6084/m9.figshare.c.8070727","title":"Comprehensive comparison of enzymatic and bisulfite DNA methylation analysis in clinically relevant samples","year":2025,"lang":"en","type":"other","venue":"Figshare","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"AstraZeneca (Canada); Newborn Screening Ontario","funders":"","keywords":"Bisulfite; Bisulfite sequencing; DNA methylation; Methylation; DNA; Illumina Methylation Assay","score_opus":0.09577987889580018,"score_gpt":0.30703616420259633,"score_spread":0.21125628530679613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084591113","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90088475,0.0047410503,0.08266754,0.0006667465,0.00006300252,0.00046269415,0.0054990724,0.00023372292,0.0047813803],"genre_scores_gemma":[0.97116536,0.00062035926,0.022705123,0.00028151085,0.00003506763,0.00035048625,0.003675465,0.00006104442,0.0011054508],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99629223,0.0018664886,0.00021117464,0.0005860005,0.0009363275,0.000107775304],"domain_scores_gemma":[0.99615896,0.0021365685,0.000687901,0.0003988827,0.0005420654,0.000075562784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007884417,0.00033968562,0.00036471366,0.0007510984,0.00019922036,0.00080260425,0.00042820867,0.00050711184,0.0017013054],"category_scores_gemma":[0.0099724345,0.00016381813,0.00035574066,0.00065518875,0.0004486944,0.00029649766,0.00046388552,0.0004052217,0.00030796995],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006988323,0.0007187067,0.35101926,0.0012087415,0.0027932657,0.00037651198,0.0006267636,0.05697137,0.31919986,0.010329603,0.0054850415,0.24428253],"study_design_scores_gemma":[0.00046122732,0.004790556,0.46586224,0.00014579235,0.0011316985,0.001381258,0.00034375937,0.07817705,0.39937347,0.016253838,0.031942967,0.00013618494],"about_ca_topic_score_codex":0.00091603876,"about_ca_topic_score_gemma":0.0013902123,"teacher_disagreement_score":0.007884417,"about_ca_system_score_codex":0.0005869813,"about_ca_system_score_gemma":0.0006070915,"threshold_uncertainty_score":0.041697264},"labels":[],"label_agreement":null},{"id":"W7089130841","doi":"10.5281/zenodo.17331404","title":"Comparative Market Analysis: BASE, MANTA, METIS","year":2025,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sharpe ratio; Volatility (finance); Alternative investment; Asset (computer security); Asset allocation; Digital economy; Equity (law); Original equipment manufacturer","score_opus":0.09077694323438934,"score_gpt":0.2699164701127283,"score_spread":0.17913952687833895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7089130841","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74569213,0.0073786983,0.00630943,0.002068243,0.00035680627,0.00023777684,0.015475743,0.00041408947,0.22206694],"genre_scores_gemma":[0.97034824,0.0009185432,0.0026775384,0.000118455384,0.00021902527,0.00007184504,0.009480812,0.000101075995,0.016064497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908745,0.00019629199,0.000029762035,0.00009981825,0.00047762753,0.00010907223],"domain_scores_gemma":[0.9953921,0.0024857426,0.0006601221,0.00027606697,0.00087466143,0.00031135546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002084584,0.00034356504,0.00053947914,0.0027342078,0.0005020883,0.0037848118,0.00060833537,0.00046467458,0.030715369],"category_scores_gemma":[0.0085432725,0.000099047174,0.00061941467,0.002479809,0.00043785645,0.0021024023,0.00074439246,0.00086247013,0.0031394167],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059696846,0.0011797402,0.10619851,0.002563226,0.0009021225,0.0011632446,0.00089835236,0.024563534,0.005506393,0.43766424,0.16105302,0.2523379],"study_design_scores_gemma":[0.00096633955,0.00475249,0.32603204,0.0007652318,0.0013223344,0.0026409775,0.005731548,0.16179433,0.011117696,0.090016164,0.39460453,0.00025633327],"about_ca_topic_score_codex":0.0035635368,"about_ca_topic_score_gemma":0.0033486343,"teacher_disagreement_score":0.030715369,"about_ca_system_score_codex":0.001527325,"about_ca_system_score_gemma":0.000659902,"threshold_uncertainty_score":0.10275316},"labels":[],"label_agreement":null},{"id":"W7089265293","doi":"10.5281/zenodo.17332266","title":"In-Depth Market Analysis of METIS (METIS-USD) for Investors","year":2025,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metis; Asset (computer security); Volatility (finance); Sharpe ratio; Digital ecosystem; Technical analysis; Downside risk; Alternative asset","score_opus":0.07364274179519775,"score_gpt":0.26738274496242137,"score_spread":0.19374000316722362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7089265293","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89895755,0.0026620766,0.003481462,0.0019546375,0.00030182514,0.00016599354,0.01964679,0.000565458,0.072264284],"genre_scores_gemma":[0.9607124,0.0007992208,0.0028248443,0.00017973167,0.00021285974,0.00003434907,0.014481718,0.0001473829,0.020607479],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995074,0.000046020123,0.000027572169,0.000047279882,0.0002960019,0.000075718795],"domain_scores_gemma":[0.9981658,0.0003894612,0.00039664865,0.0001034423,0.00072028243,0.00022449819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001151682,0.00035620527,0.0002247534,0.0022142427,0.00029306588,0.002099766,0.0002954888,0.00037002872,0.006449202],"category_scores_gemma":[0.0038389002,0.00008937286,0.0002754768,0.0014622576,0.00015251814,0.0011526286,0.00053094584,0.0005315264,0.001759446],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018600412,0.00052239746,0.39048326,0.0007957022,0.00022361387,0.004111867,0.0018237331,0.010361962,0.01727649,0.0614095,0.24203175,0.26909974],"study_design_scores_gemma":[0.000083889114,0.0007755852,0.60222816,0.00033374754,0.00014600846,0.0016756149,0.0036296856,0.092573166,0.01335635,0.010663083,0.27438602,0.00014872942],"about_ca_topic_score_codex":0.0072354963,"about_ca_topic_score_gemma":0.008647427,"teacher_disagreement_score":0.0072354963,"about_ca_system_score_codex":0.0010878184,"about_ca_system_score_gemma":0.0004608773,"threshold_uncertainty_score":0.021574676},"labels":[],"label_agreement":null},{"id":"W7094236987","doi":"","title":"GFH Financial BSC : Results of GFH Financial Group’s Webcast for the third Quarter of 2024 Financial Results","year":2024,"lang":"en","type":"other","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Webcast; Financial ratio; Financial analysis; Work (physics)","score_opus":0.02559491688009759,"score_gpt":0.2244409894374024,"score_spread":0.1988460725573048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7094236987","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014139008,0.0029617066,0.00088305667,0.02288079,0.025499644,0.0003492813,0.4253653,0.0026171203,0.5180291],"genre_scores_gemma":[0.0055288267,0.001416891,0.0008871426,0.004976443,0.0036838534,0.0002753996,0.112905696,0.0012669602,0.86905885],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977883,0.00014395194,0.00006751745,0.00010388324,0.0014609211,0.00043537267],"domain_scores_gemma":[0.99473685,0.0005498405,0.0003032984,0.0002496269,0.0025928032,0.0015675245],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023903628,0.0012429843,0.0008862173,0.003518699,0.0010690301,0.005880662,0.0014219575,0.0041227527,0.39307502],"category_scores_gemma":[0.009224515,0.00039117024,0.00091587246,0.0028199472,0.00054139405,0.0017640389,0.0024612937,0.0028955112,0.27846378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025833557,0.000009158621,0.000060355538,0.000021589685,0.000001199995,0.0000059486124,0.0000016555666,0.000041770796,0.000011756963,0.00038124892,0.996031,0.0034084464],"study_design_scores_gemma":[0.000056725818,0.000016894814,0.0028122414,0.00014530799,0.0000038351563,0.000015322436,0.00002431995,0.0002953743,0.00016544176,0.0017389905,0.99470854,0.00001705687],"about_ca_topic_score_codex":0.054211933,"about_ca_topic_score_gemma":0.06392208,"teacher_disagreement_score":0.39307502,"about_ca_system_score_codex":0.004232303,"about_ca_system_score_gemma":0.007929729,"threshold_uncertainty_score":0.86570483},"labels":[],"label_agreement":null},{"id":"W7095174817","doi":"","title":"CHARACTERISTICS","year":2002,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Mutual fund; Equity (law); Sample (material); Benchmark (surveying); Investment management","score_opus":0.046592407186075366,"score_gpt":0.18957352046846906,"score_spread":0.1429811132823937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095174817","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21416047,0.0028735765,0.0067406,0.0047177146,0.00027875332,0.0007509721,0.050252404,0.00070818886,0.71951735],"genre_scores_gemma":[0.3817379,0.0025914065,0.0034042206,0.0026440802,0.0001357533,0.0004292038,0.037516057,0.00026908267,0.5712723],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99852484,0.000098275144,0.0000605994,0.00016328292,0.0007324739,0.00042049398],"domain_scores_gemma":[0.9975762,0.0001902866,0.00041605526,0.0002138281,0.0011498429,0.00045382348],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008671056,0.00034299886,0.00037306207,0.0018058796,0.00177467,0.0016988721,0.0011507275,0.00044047213,0.13964628],"category_scores_gemma":[0.0055872938,0.00012073826,0.0002877078,0.0034585586,0.0003214335,0.00076133665,0.0010998768,0.00051184866,0.057582382],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004734706,0.00027208714,0.2923364,0.0003149723,0.000063381936,0.0008404125,0.00329024,0.00088306604,0.002230084,0.039431497,0.28339002,0.37647444],"study_design_scores_gemma":[0.00002045182,0.00010463481,0.22411944,0.0001123733,0.000029997707,0.001225531,0.0023713016,0.0004168224,0.00046817344,0.0030742164,0.76802564,0.000031379426],"about_ca_topic_score_codex":0.19822522,"about_ca_topic_score_gemma":0.20993084,"teacher_disagreement_score":0.8603537,"about_ca_system_score_codex":0.0034480302,"about_ca_system_score_gemma":0.0060462467,"threshold_uncertainty_score":0.46716332},"labels":[],"label_agreement":null},{"id":"W7095210457","doi":"","title":"Consumption Growth as a Risk Factor? Evidence from Canadian Financial Markets. This version: February 2002","year":2011,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Risk premium; Consumption-based capital asset pricing model; Consumption (sociology); Risk–return spectrum; Stock market; Bond; Econometric model; Equity premium puzzle","score_opus":0.05284540892017717,"score_gpt":0.2067927723396616,"score_spread":0.15394736341948442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095210457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48091203,0.11630449,0.0013574179,0.09613148,0.00082170905,0.00021421543,0.15748547,0.00022034558,0.1465529],"genre_scores_gemma":[0.9099091,0.03687974,0.0006125153,0.0017374796,0.0002353018,0.000026679145,0.020204173,0.000046979687,0.03034797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993919,0.000049230148,0.000033225882,0.00006188025,0.00030404952,0.0001597162],"domain_scores_gemma":[0.99007964,0.0028147143,0.0015199342,0.0005116496,0.004344598,0.00072951405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014987121,0.0004630249,0.0005043429,0.002921517,0.0016203637,0.0022552267,0.00078734965,0.00072922144,0.021846006],"category_scores_gemma":[0.014070135,0.00025247133,0.00057002663,0.0077219605,0.0005847848,0.0010033571,0.0005389574,0.00078385655,0.0010078513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073629845,0.00011570323,0.53142726,0.00090728427,0.00039590267,0.0010035819,0.0032688768,0.0027634676,0.00022073432,0.03666538,0.2774369,0.1450587],"study_design_scores_gemma":[0.00006647487,0.000030835836,0.8661778,0.00041686703,0.0002922948,0.00014512955,0.0019140583,0.0017061663,0.00028139303,0.003075094,0.12582779,0.00006610555],"about_ca_topic_score_codex":0.9850429,"about_ca_topic_score_gemma":0.9881892,"teacher_disagreement_score":0.021846006,"about_ca_system_score_codex":0.013833198,"about_ca_system_score_gemma":0.017321346,"threshold_uncertainty_score":0.10036731},"labels":[],"label_agreement":null},{"id":"W7095311362","doi":"","title":"the source. Estimating the Equity Premium","year":2007,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Predictability; Equity premium puzzle; Equity (law); Chen; Economic forecasting","score_opus":0.04378164710165647,"score_gpt":0.255823603125404,"score_spread":0.2120419560237475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095311362","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005852339,0.001240108,0.005158006,0.002230903,0.00089983095,0.00034259164,0.8701046,0.003786158,0.11038542],"genre_scores_gemma":[0.08448701,0.0028203882,0.021276893,0.0006452341,0.00038564016,0.00042274463,0.6067953,0.0020656295,0.28110126],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993668,0.00003150278,0.000027329344,0.00006327625,0.00041236164,0.00009879309],"domain_scores_gemma":[0.9971066,0.00029886776,0.00011110337,0.00022798408,0.002091643,0.00016379677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008006319,0.00073091494,0.000549231,0.005741304,0.00073187397,0.0016773439,0.000982701,0.0007029116,0.14411615],"category_scores_gemma":[0.0059305574,0.00039709118,0.0005213922,0.0072713466,0.00017206976,0.00060311094,0.0007451192,0.001156836,0.056382522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030903462,0.000014866666,0.0035219986,0.00009332527,0.000018319999,0.00004171934,0.00003612853,0.0014869149,0.00008999276,0.0016507433,0.94172496,0.05129014],"study_design_scores_gemma":[0.00016200668,0.000019619125,0.06264758,0.00027903513,0.00005611422,0.00011028558,0.0003659569,0.0084978985,0.0016608558,0.0028749334,0.9232528,0.00007289737],"about_ca_topic_score_codex":0.82513994,"about_ca_topic_score_gemma":0.7814971,"teacher_disagreement_score":0.82513994,"about_ca_system_score_codex":0.0054340153,"about_ca_system_score_gemma":0.008286581,"threshold_uncertainty_score":0.48211652},"labels":[],"label_agreement":null},{"id":"W7095328311","doi":"","title":"ASAC 2008 Halifax, Nova Scotia","year":2014,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Shareholder; Contrarian; Nova scotia; Empirical evidence; Capital market","score_opus":0.030875561896725006,"score_gpt":0.20815000766794567,"score_spread":0.17727444577122067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095328311","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031895727,0.012227603,0.0012808816,0.00928736,0.002681546,0.00028602118,0.02751464,0.00084788725,0.9139783],"genre_scores_gemma":[0.023651555,0.0025763398,0.00096553337,0.00045257394,0.00008614651,0.000043955963,0.0037003038,0.00017209373,0.9683516],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996233,0.00002043053,0.000015652804,0.00011828824,0.00011396561,0.00010836949],"domain_scores_gemma":[0.9987268,0.000122599,0.00006993679,0.00009813794,0.0006054427,0.00037722132],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00033106428,0.00069388776,0.0005758324,0.0010970691,0.002411683,0.0032461286,0.0009215899,0.0014732848,0.4629956],"category_scores_gemma":[0.00092189154,0.00027830148,0.00036548145,0.0010829231,0.000807721,0.00065138616,0.0010621465,0.00095036457,0.17681113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012065883,0.00009322712,0.0073802266,0.0005001811,0.000049932532,0.0019252122,0.00029562926,0.0019316269,0.0074209534,0.01179543,0.7280839,0.2393171],"study_design_scores_gemma":[0.000038712613,0.00003503783,0.022192303,0.00020412229,0.000008455576,0.00019900303,0.00022563616,0.0007248627,0.0006726208,0.0007486483,0.9749278,0.00002297756],"about_ca_topic_score_codex":0.40716276,"about_ca_topic_score_gemma":0.6770128,"teacher_disagreement_score":0.5370044,"about_ca_system_score_codex":0.008450092,"about_ca_system_score_gemma":0.0066073197,"threshold_uncertainty_score":0.80958563},"labels":[],"label_agreement":null},{"id":"W7095478061","doi":"","title":"Assessing and valuing the nonlinear structure of hedge funds’ returns. mimeo Universite de Montreal","year":2003,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedge; Nonlinear system; Measure (data warehouse); Noise (video); Term (time)","score_opus":0.02366900340981876,"score_gpt":0.2135239724740934,"score_spread":0.18985496906427465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095478061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93497473,0.0045701694,0.048499275,0.0022032189,0.000064035405,0.000044221124,0.00044625328,0.00007302459,0.009125016],"genre_scores_gemma":[0.9906098,0.0006048223,0.0073519843,0.000017994395,0.000019507002,0.0000055163155,0.00010516383,0.000008833418,0.0012763302],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997198,0.00011017722,0.000013618915,0.00002968039,0.000078348574,0.000048387745],"domain_scores_gemma":[0.9968273,0.0023556708,0.00026742142,0.00014841807,0.0002919607,0.00010922714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026250079,0.00029942274,0.0004058397,0.0009751191,0.00019427483,0.0017810498,0.000431848,0.0006557188,0.0010969437],"category_scores_gemma":[0.02062697,0.00027701177,0.00020467934,0.0009827202,0.0006208527,0.0017709377,0.0005125683,0.0005699736,0.00012301652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052148616,0.00012353293,0.22481449,0.0002162924,0.0003995286,0.0007750742,0.000619165,0.34424454,0.008593183,0.06263645,0.00965513,0.34740114],"study_design_scores_gemma":[0.000038341634,0.00012829404,0.18421695,0.00005497803,0.000110387424,0.00018336254,0.00048464947,0.7700019,0.005321029,0.035597205,0.003807084,0.000055782595],"about_ca_topic_score_codex":0.10114295,"about_ca_topic_score_gemma":0.10865111,"teacher_disagreement_score":0.10114295,"about_ca_system_score_codex":0.002046764,"about_ca_system_score_gemma":0.0011773725,"threshold_uncertainty_score":0.20110846},"labels":[],"label_agreement":null},{"id":"W7095512400","doi":"","title":"and1","year":2005,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dividend; Rational expectations; Valuation (finance); Stock (firearms); Stock market; Financial market; Intrinsic value (animal ethics); Asset (computer security); Market value","score_opus":0.030372525827058728,"score_gpt":0.2015404612972848,"score_spread":0.17116793547022607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095512400","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028588448,0.005867099,0.0015219278,0.030951418,0.004945844,0.0002787377,0.045069806,0.0010505114,0.90745586],"genre_scores_gemma":[0.010808395,0.0019327878,0.0019573052,0.0036473917,0.00019196332,0.0000772388,0.013396044,0.00033277928,0.96765614],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811125,0.00009142295,0.00005717475,0.00042073734,0.00087034167,0.0004489455],"domain_scores_gemma":[0.9962908,0.00025332803,0.00012867629,0.00025690102,0.0021193183,0.00095106155],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009957701,0.001057561,0.000978304,0.001589564,0.003762376,0.0037193173,0.0022356727,0.0021564174,0.7236099],"category_scores_gemma":[0.0040479163,0.00045585222,0.000593795,0.0014971324,0.0007029169,0.0015729272,0.0026129507,0.0021471197,0.32495555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017515442,0.000062556595,0.0025149232,0.000239683,0.000021720201,0.00042024782,0.0002017573,0.00013712727,0.00049278396,0.018942386,0.8495804,0.12721123],"study_design_scores_gemma":[0.000016683847,0.000011647602,0.0017100055,0.000092693386,0.0000051573315,0.000127455,0.00011830456,0.00010823012,0.00009982176,0.00085015025,0.99684983,0.000009879395],"about_ca_topic_score_codex":0.4196424,"about_ca_topic_score_gemma":0.60502493,"teacher_disagreement_score":0.4196424,"about_ca_system_score_codex":0.0090233665,"about_ca_system_score_gemma":0.025340986,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7095560722","doi":"","title":"1 Dynamic Performance of Canadian Fixed Income Mutual Funds","year":2015,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mutual fund; Portfolio; Target date fund; Asset (computer security); Income fund; Mutual fund separation theorem; Fund of funds; Closed-end fund","score_opus":0.04023863959126783,"score_gpt":0.20215233824600984,"score_spread":0.161913698654742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095560722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89964527,0.0031992507,0.0004687864,0.0027527811,0.00007115082,0.00005133498,0.010503088,0.00014002339,0.08316835],"genre_scores_gemma":[0.9886115,0.00048181228,0.00016696959,0.000045358374,0.000013244728,0.0000071388235,0.0018572349,0.0000141963665,0.008802611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99722797,0.00016854325,0.00008341937,0.00025180838,0.0014367005,0.000831546],"domain_scores_gemma":[0.99105835,0.00060197973,0.0011475952,0.00027378244,0.005847935,0.0010702831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00165341,0.00055546884,0.0004435877,0.0034515008,0.0027245875,0.004250127,0.001204774,0.00081475783,0.007056602],"category_scores_gemma":[0.017571688,0.0002077985,0.00039877856,0.004654034,0.0009492972,0.0010372535,0.0014129955,0.00052237493,0.0011434583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011722842,0.00013639589,0.7106648,0.00024858414,0.00022541368,0.0007640635,0.004245649,0.04907384,0.00174941,0.058368474,0.058708467,0.114642665],"study_design_scores_gemma":[0.00004860233,0.00013745815,0.8958609,0.00014966575,0.00011632648,0.00030484152,0.004081135,0.023859657,0.0017441029,0.003508136,0.069931686,0.00025737862],"about_ca_topic_score_codex":0.9845567,"about_ca_topic_score_gemma":0.98336446,"teacher_disagreement_score":0.058509532,"about_ca_system_score_codex":0.058509532,"about_ca_system_score_gemma":0.02903015,"threshold_uncertainty_score":0.42451835},"labels":[],"label_agreement":null},{"id":"W7095777528","doi":"","title":"In a recent provocative paper in this journal,","year":2013,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Heteroscedasticity; Outlier; Null hypothesis; Odds; Volatility (finance); Stock (firearms); Alternative hypothesis; Names of the days of the week; Bayesian probability","score_opus":0.03139164745193962,"score_gpt":0.21834642055200115,"score_spread":0.18695477310006153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095777528","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022349525,0.05910115,0.07526126,0.6343994,0.14567453,0.00019932174,0.0019145411,0.00041842333,0.06068181],"genre_scores_gemma":[0.32050583,0.06502962,0.03222649,0.22833002,0.29083574,0.00027333776,0.0018416669,0.00054129364,0.060416024],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99580514,0.0017664107,0.00025731436,0.00096781855,0.00093452656,0.00026876017],"domain_scores_gemma":[0.9622435,0.029778082,0.0017385858,0.0015366087,0.0037766644,0.00092649076],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009053737,0.0009468132,0.0014284207,0.0026796982,0.0012896089,0.00401172,0.0024715213,0.004508091,0.013048302],"category_scores_gemma":[0.051293034,0.00042255403,0.0018469513,0.002435028,0.0024005726,0.0032812296,0.0016180073,0.0069447123,0.0041266247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059279875,0.0004090935,0.016937384,0.0012206512,0.0008351746,0.0011808908,0.0009913825,0.0037470874,0.0006587218,0.22731745,0.6219509,0.12415852],"study_design_scores_gemma":[0.00032332502,0.00048374545,0.016587785,0.0007199803,0.0010994225,0.0010011262,0.0013616855,0.024803098,0.0016451061,0.31472576,0.63700193,0.00024696227],"about_ca_topic_score_codex":0.0034904694,"about_ca_topic_score_gemma":0.0022161491,"teacher_disagreement_score":0.9869517,"about_ca_system_score_codex":0.002407733,"about_ca_system_score_gemma":0.0022357076,"threshold_uncertainty_score":0.047881305},"labels":[],"label_agreement":null},{"id":"W7095854472","doi":"","title":"Flow-Performance Relationship for Hedge Funds","year":2013,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedge fund; Decile; Alternative beta; Incentive; Quarter (Canadian coin); Compensation (psychology)","score_opus":0.06015563430544129,"score_gpt":0.21172110941207192,"score_spread":0.15156547510663063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095854472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92818785,0.0013015984,0.041277777,0.0015725417,0.000049792874,0.000047979458,0.0029974654,0.00033634703,0.02422859],"genre_scores_gemma":[0.9917896,0.00031929702,0.0018028537,0.000059769533,0.000045689296,0.000016882308,0.0010206724,0.000037746173,0.00490757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968636,0.000052124946,0.000023092218,0.000071556446,0.0000833912,0.00008342134],"domain_scores_gemma":[0.9947024,0.0024155455,0.0017853717,0.00037203476,0.0005329238,0.00019169254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017407807,0.00032711835,0.00028525156,0.0015063724,0.00019797058,0.0015905449,0.00032348058,0.00069408386,0.009193312],"category_scores_gemma":[0.012266063,0.00017182874,0.0006626586,0.0013111932,0.00038480642,0.0015621857,0.0005371468,0.0011219622,0.000861384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038075304,0.00019123842,0.3988107,0.00026297066,0.00022670827,0.00062746956,0.0008931529,0.24621563,0.006441455,0.16107138,0.017481623,0.16739681],"study_design_scores_gemma":[0.000024555584,0.00032943705,0.52617323,0.000088447276,0.000102136524,0.00053535344,0.00026538994,0.39133888,0.0027879362,0.06657524,0.011681959,0.00009734454],"about_ca_topic_score_codex":0.004808824,"about_ca_topic_score_gemma":0.0022472697,"teacher_disagreement_score":0.009193312,"about_ca_system_score_codex":0.0008664168,"about_ca_system_score_gemma":0.00036029608,"threshold_uncertainty_score":0.030754685},"labels":[],"label_agreement":null},{"id":"W7095964531","doi":"","title":"Intraday Predictability of Market Microstructure Statistics and Technical Trading Rules","year":2007,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Predictability; Market microstructure; Algorithmic trading; Trading strategy; Alternative trading system; Pairs trade; High-frequency trading; Flash trading; Database transaction; Electronic trading","score_opus":0.013299915211140233,"score_gpt":0.21048412911079772,"score_spread":0.19718421389965748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095964531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914615,0.00033780176,0.00576628,0.0001302003,0.000012777559,0.000015720263,0.0008327166,0.00005673667,0.0013862643],"genre_scores_gemma":[0.99831426,0.00012427112,0.000502499,0.00001057765,0.00002881639,0.000004434521,0.0008096036,0.0000064507867,0.00019904348],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911946,0.00016806494,0.000102871934,0.00019525013,0.0003200635,0.000094246585],"domain_scores_gemma":[0.97431606,0.009990023,0.011056698,0.002377311,0.0017896203,0.00047028356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025942829,0.00037606707,0.0005208148,0.0019128743,0.00019856704,0.0014918532,0.00034682086,0.00041427818,0.00089001475],"category_scores_gemma":[0.019015558,0.00035056975,0.0004491176,0.0018932896,0.00047088342,0.0015340749,0.00058719335,0.00065414875,0.0002693944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022238621,0.00008595415,0.9576926,0.000046196907,0.00030810555,0.0001932569,0.00026319857,0.017684286,0.0018672129,0.002464466,0.00050189684,0.018670456],"study_design_scores_gemma":[0.0000071063064,0.00006782493,0.95064485,0.000009526317,0.000051994895,0.00007852672,0.00006964218,0.046240684,0.00081027736,0.0015424035,0.00045427002,0.000022792266],"about_ca_topic_score_codex":0.008437357,"about_ca_topic_score_gemma":0.011489379,"teacher_disagreement_score":0.008437357,"about_ca_system_score_codex":0.00066952687,"about_ca_system_score_gemma":0.00040413404,"threshold_uncertainty_score":0.016776502},"labels":[],"label_agreement":null},{"id":"W7095978123","doi":"","title":"Price Formation and Liquidity Provision in Short-Term Fixed Income Markets.” Bank of Canada Working Paper No","year":2007,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Transparency (behavior); Order (exchange); Asset (computer security); Government bond; Government (linguistics); Price discovery; Bond","score_opus":0.01876623490103181,"score_gpt":0.20096962783425038,"score_spread":0.18220339293321858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095978123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52905035,0.07658625,0.004508358,0.09708123,0.0007657581,0.00026816293,0.041238017,0.0005084536,0.24999334],"genre_scores_gemma":[0.96114564,0.009327191,0.0006607321,0.00045583837,0.00014064324,0.00003083835,0.0042183376,0.000036636888,0.023984324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992501,0.00005436051,0.000034874305,0.00007047316,0.00025335487,0.00033670277],"domain_scores_gemma":[0.9957372,0.00072555104,0.0011322534,0.00011066652,0.0016240503,0.0006702493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013226804,0.00026334703,0.0005261665,0.0019758146,0.0024577535,0.0066845347,0.0011106541,0.0015291119,0.016946588],"category_scores_gemma":[0.008356114,0.00042165347,0.0004652818,0.003595982,0.0013991605,0.0023337556,0.0007675293,0.0011180573,0.0009298672],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007493072,0.0001257168,0.18446991,0.00056597526,0.00022536343,0.0013165984,0.0028294337,0.0099838665,0.0006886309,0.3716048,0.32347274,0.103967704],"study_design_scores_gemma":[0.00031542566,0.000072042385,0.5229483,0.00095147715,0.00037945484,0.0003285377,0.0046342667,0.031250447,0.001770067,0.13958956,0.29750586,0.0002545208],"about_ca_topic_score_codex":0.9116507,"about_ca_topic_score_gemma":0.921928,"teacher_disagreement_score":0.08834928,"about_ca_system_score_codex":0.03640519,"about_ca_system_score_gemma":0.03393853,"threshold_uncertainty_score":0.26413935},"labels":[],"label_agreement":null},{"id":"W7095989073","doi":"","title":"An Empirical Analysis of Liquidity and . . . Government Of Canada Bonds","year":2003,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bond; Market liquidity; Government (linguistics); Liquidity crisis; Empirical research","score_opus":0.024685608242095893,"score_gpt":0.22143558575083455,"score_spread":0.19674997750873865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095989073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98926187,0.0014353016,0.0001308175,0.0015223923,0.000017949047,0.000016288568,0.0019089106,0.00001734063,0.0056892936],"genre_scores_gemma":[0.9936226,0.0006341046,0.00007290019,0.000105059196,0.000018527611,0.000004811463,0.0011593685,0.000006033327,0.0043767113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943095,0.000060608363,0.000023874602,0.000076448654,0.00016471527,0.0002433034],"domain_scores_gemma":[0.9881236,0.0037593564,0.0025433535,0.00038753304,0.0034761236,0.0017100462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011053375,0.00030084973,0.00043176053,0.0015766526,0.0025500269,0.003075228,0.0011201958,0.0011576992,0.0058243894],"category_scores_gemma":[0.013078002,0.00024402424,0.00047909032,0.0039523444,0.0010056151,0.00089208543,0.0006388671,0.0016207071,0.00040835852],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006425259,0.00023326362,0.9418729,0.0000676819,0.00018838936,0.00044924679,0.0022090022,0.0066688824,0.00042702703,0.015450415,0.012532096,0.019258553],"study_design_scores_gemma":[0.000083374674,0.00007815209,0.9626341,0.00007431872,0.00025034917,0.00013750119,0.004768666,0.01703184,0.0005891749,0.0019739752,0.012321044,0.00005762145],"about_ca_topic_score_codex":0.9853585,"about_ca_topic_score_gemma":0.98913074,"teacher_disagreement_score":0.031985737,"about_ca_system_score_codex":0.031985737,"about_ca_system_score_gemma":0.025258938,"threshold_uncertainty_score":0.23207384},"labels":[],"label_agreement":null},{"id":"W7095995003","doi":"","title":"Common stock return and international listing announcements: Condititional tests of the mid segmentation hypothesis","year":2000,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Market segmentation; Listing (finance); Stock (firearms); Stock market; Capital asset pricing model; Valuation effects; Valuation (finance); Financial market","score_opus":0.04550876772564834,"score_gpt":0.2400755030271366,"score_spread":0.19456673530148827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095995003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99642533,0.000098771154,0.0003102143,0.00015656515,0.0000056244703,0.00000990522,0.00015999499,0.000009033068,0.0028245887],"genre_scores_gemma":[0.99915946,0.00002050465,0.00008414229,0.000029375702,0.0000151248505,0.0000041336143,0.00038898672,0.0000029645414,0.00029540737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99753964,0.00060369674,0.0001758685,0.0004102404,0.0005232034,0.00074737164],"domain_scores_gemma":[0.93779373,0.030192966,0.021872396,0.0024387564,0.0015696088,0.006132568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004878243,0.00042021438,0.00043747723,0.00203837,0.0005525826,0.0022011916,0.00076234003,0.000733819,0.0051556425],"category_scores_gemma":[0.029809436,0.00018268144,0.00068254257,0.001742963,0.0023983994,0.0018360558,0.0018511976,0.0012564845,0.00050400384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001549691,0.00027928504,0.9864001,0.000018230441,0.00020714207,0.00011622975,0.0006030329,0.00045763233,0.0007651528,0.0017857513,0.00030327443,0.0075145266],"study_design_scores_gemma":[0.0000426509,0.00026768778,0.99412054,0.0000061056176,0.000064944616,0.00005121814,0.00057439465,0.0033470679,0.0003424076,0.00092730805,0.00024310203,0.000012635761],"about_ca_topic_score_codex":0.043550022,"about_ca_topic_score_gemma":0.02458345,"teacher_disagreement_score":0.043550022,"about_ca_system_score_codex":0.0015524242,"about_ca_system_score_gemma":0.0014164533,"threshold_uncertainty_score":0.08659303},"labels":[],"label_agreement":null},{"id":"W7096371395","doi":"","title":"Registered traders’ participation during the Toronto Stock Exchange’s pre-opening session. Working paper","year":2016,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Payment; Work (physics); Stock exchange","score_opus":0.07369299079913576,"score_gpt":0.2532695707548746,"score_spread":0.17957657995573884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096371395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5438258,0.0044217524,0.0011496234,0.07187328,0.0105721075,0.0007148267,0.05938602,0.00030602116,0.30775055],"genre_scores_gemma":[0.6557515,0.0015862135,0.00044688283,0.0012863224,0.0022710757,0.00024467643,0.014974894,0.00013830207,0.32330015],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9985825,0.00022750082,0.000072526775,0.00015008805,0.0006044103,0.00036305812],"domain_scores_gemma":[0.9907402,0.0014313823,0.0007125648,0.00050865224,0.001814063,0.0047931885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024387273,0.00027489173,0.00034707304,0.0006893346,0.00224962,0.0036260602,0.00046381584,0.0015213744,0.046692178],"category_scores_gemma":[0.00897175,0.00016273315,0.00016230792,0.0012385466,0.0005158138,0.0011660296,0.0015562678,0.0014292982,0.006842232],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014862611,0.00019156095,0.045983266,0.00015324657,0.00004768643,0.0004655366,0.008763314,0.0003373372,0.0014545412,0.00632767,0.8983062,0.03648344],"study_design_scores_gemma":[0.00012679545,0.00011841708,0.3277581,0.00016646503,0.00003096468,0.00007494235,0.008754859,0.00076461467,0.0011671336,0.0013277155,0.65964884,0.00006113695],"about_ca_topic_score_codex":0.1322124,"about_ca_topic_score_gemma":0.37808773,"teacher_disagreement_score":0.8677876,"about_ca_system_score_codex":0.0045988113,"about_ca_system_score_gemma":0.005718162,"threshold_uncertainty_score":0.2628857},"labels":[],"label_agreement":null},{"id":"W7096453049","doi":"","title":"OF MERGED ECOMMERCE MUTUAL FUNDS 1","year":2014,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mutual fund; Fund administration; Target date fund; Investment fund; Manager of managers fund; Closed-end fund","score_opus":0.03165626660028183,"score_gpt":0.20674275674160114,"score_spread":0.17508649014131933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096453049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777679,0.0011460336,0.0007159511,0.0006076783,0.000013835911,0.00009646747,0.00046030967,0.000025471785,0.019166268],"genre_scores_gemma":[0.9948515,0.00025847286,0.0002967303,0.00011099628,0.000016856813,0.000021346352,0.00031367398,0.0000031240727,0.004127252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955427,0.0007111643,0.00015466509,0.0004610899,0.0016432139,0.0014872459],"domain_scores_gemma":[0.9888122,0.0022729775,0.0049277144,0.0004978742,0.002317947,0.0011713281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025276598,0.00031476188,0.000407264,0.0026408918,0.00212655,0.0034949454,0.0009245574,0.0009881406,0.0053367545],"category_scores_gemma":[0.024082338,0.00026450175,0.0003587563,0.0027559772,0.0011728068,0.0025706333,0.0037627835,0.00089232816,0.0004917931],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009974322,0.00028040598,0.8296094,0.0001533149,0.00022175572,0.001701708,0.0053955987,0.0041725817,0.0013731903,0.035152584,0.008307284,0.11263471],"study_design_scores_gemma":[0.00010893658,0.00035908044,0.9149085,0.00012645546,0.00025033118,0.0008621831,0.013795673,0.007248531,0.0025257634,0.00969889,0.050059177,0.0000564513],"about_ca_topic_score_codex":0.2737882,"about_ca_topic_score_gemma":0.4090692,"teacher_disagreement_score":0.2737882,"about_ca_system_score_codex":0.007961769,"about_ca_system_score_gemma":0.0054332837,"threshold_uncertainty_score":0.5443892},"labels":[],"label_agreement":null},{"id":"W7096496093","doi":"","title":"The authors thank the officials at the Securities and Exchange Commission and the U.S. Attorney’s Office in New","year":2002,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Commission; Work (physics); Statement (logic); Financial statement; Securities Exchange Act of 1934","score_opus":0.04141116466763655,"score_gpt":0.20453590412192088,"score_spread":0.16312473945428432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096496093","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038008306,0.012789681,0.0054764044,0.6366369,0.021591855,0.001144259,0.045737095,0.0012955975,0.23731986],"genre_scores_gemma":[0.25768515,0.02513172,0.0154859135,0.053773727,0.005701386,0.0011580714,0.02856192,0.0018048594,0.61069727],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965323,0.000612748,0.00042586593,0.00023421913,0.0019492713,0.00024547268],"domain_scores_gemma":[0.9259089,0.023738883,0.0064333603,0.0013261974,0.039728843,0.00286386],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0072108535,0.00063542556,0.0023419878,0.0048230523,0.0033348273,0.0050304015,0.0010815689,0.0016619248,0.103169695],"category_scores_gemma":[0.04012264,0.00076760503,0.00034051682,0.013220832,0.00078959356,0.00420415,0.001293012,0.0045823976,0.024557276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111250294,0.000039587776,0.0045285462,0.000084305284,0.000013100607,0.000230783,0.00049260474,0.00020949703,0.00011073417,0.0072058914,0.96609503,0.020878825],"study_design_scores_gemma":[0.00006882565,0.00005277272,0.026217425,0.00014396108,0.000085532134,0.00015043515,0.004380964,0.0016574735,0.001040776,0.0063024694,0.95975995,0.00013938145],"about_ca_topic_score_codex":0.08297664,"about_ca_topic_score_gemma":0.16528846,"teacher_disagreement_score":0.8968303,"about_ca_system_score_codex":0.007327137,"about_ca_system_score_gemma":0.0064180302,"threshold_uncertainty_score":0.345137},"labels":[],"label_agreement":null},{"id":"W7096596927","doi":"","title":"Thy neighbor&amp;apos;s portfolio: Word-of-mouth e®ects in the holdings and trades of money managers, Working paper","year":2002,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Variety (cybernetics); Investment management; Quarter (Canadian coin); Investment (military)","score_opus":0.13300020722235156,"score_gpt":0.24811448555348248,"score_spread":0.11511427833113091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096596927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975593,0.00037483263,0.00013440623,0.00047815894,0.000014021086,0.0000047845037,0.00016960963,0.000005011115,0.0012598116],"genre_scores_gemma":[0.99782383,0.00016528515,0.000061626924,0.00005624321,0.0000230777,0.0000036058132,0.00014179743,0.0000037268862,0.0017208117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995912,0.00014656187,0.00004060026,0.00007784778,0.0000668923,0.0000768949],"domain_scores_gemma":[0.9816729,0.009146384,0.0066154813,0.00045690022,0.0004186581,0.0016896252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017359928,0.00016969546,0.0003135184,0.00045412238,0.0004029169,0.0017019056,0.00033757754,0.0009145305,0.0096708825],"category_scores_gemma":[0.014437373,0.00019306585,0.00020286391,0.0006678349,0.0005119687,0.0013589291,0.0006603159,0.0008386492,0.0009626871],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013359172,0.00044413027,0.96054876,0.00010932065,0.00030713232,0.0006568989,0.0017297881,0.0011062665,0.0023073512,0.0017360202,0.0038258338,0.025892628],"study_design_scores_gemma":[0.00008104186,0.00021722536,0.9886946,0.000028791203,0.00017561576,0.00033672064,0.0018626815,0.0043704156,0.00057113025,0.001978084,0.0016621901,0.0000215528],"about_ca_topic_score_codex":0.0032879454,"about_ca_topic_score_gemma":0.0051194453,"teacher_disagreement_score":0.0096708825,"about_ca_system_score_codex":0.00033988568,"about_ca_system_score_gemma":0.0001504919,"threshold_uncertainty_score":0.03235233},"labels":[],"label_agreement":null},{"id":"W7096678943","doi":"","title":"CANADIAN INVESTORS AND THE DISCOUNT ON CLOSED-END FUNDS","year":2009,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Extant taxon; Stock (firearms); Empirical research; Robustness (evolution); Empirical evidence; Proxy (statistics); Capital asset pricing model; Context (archaeology); Risk–return spectrum","score_opus":0.018787931530361596,"score_gpt":0.18975341487970093,"score_spread":0.17096548334933934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096678943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897843,0.0003292262,0.00015680752,0.00056154665,0.0000079286365,0.0000096576505,0.00031717945,0.0000062188255,0.008827144],"genre_scores_gemma":[0.99841213,0.0001457977,0.000059409376,0.000024233892,0.0000041192484,7.958948e-7,0.00010112045,0.0000014738932,0.0012508157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972206,0.000023488357,0.000011271212,0.00003343422,0.00012615019,0.00008346284],"domain_scores_gemma":[0.9965192,0.0006273335,0.0016882479,0.00012964265,0.00063669804,0.00039880569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086523255,0.00015229246,0.00018156727,0.00075663644,0.00084995804,0.0015535858,0.00028881454,0.0002862653,0.003107036],"category_scores_gemma":[0.007455575,0.000095998366,0.00019505329,0.00083875505,0.00060155976,0.00048956444,0.00040962585,0.0004627617,0.00011249951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033403788,0.00004030509,0.95371467,0.000035651778,0.000060480994,0.00026589748,0.0019028822,0.0012040512,0.00056869676,0.008878587,0.0028504375,0.030144341],"study_design_scores_gemma":[0.000012871898,0.000021915579,0.98886514,0.000027539802,0.000055387776,0.00009217068,0.001430872,0.0021881391,0.0004503495,0.0015714597,0.005255252,0.00002897252],"about_ca_topic_score_codex":0.87565017,"about_ca_topic_score_gemma":0.90849644,"teacher_disagreement_score":0.12434983,"about_ca_system_score_codex":0.0111102555,"about_ca_system_score_gemma":0.0038088884,"threshold_uncertainty_score":0.25016427},"labels":[],"label_agreement":null},{"id":"W7096734346","doi":"","title":"Journal of Financial Economics 66 (2002) 171–205 Breadth of ownership and stock returns$","year":2001,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decile; Stock (firearms); Constraint (computer-aided design); Quarter (Canadian coin); Stock market; Financial market; Sample (material)","score_opus":0.03713249396833636,"score_gpt":0.20759208349172167,"score_spread":0.1704595895233853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096734346","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34800273,0.15234824,0.03276399,0.10840935,0.0016776953,0.00012077597,0.004717011,0.00041076596,0.35154942],"genre_scores_gemma":[0.89100707,0.05303858,0.0030001663,0.0022353271,0.0015858389,0.00007526422,0.0013907672,0.000052920408,0.047614068],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99977094,0.00007438478,0.00001625814,0.0000211375,0.000076531636,0.000040765015],"domain_scores_gemma":[0.99874145,0.0005871775,0.00026793493,0.00005862177,0.00020242485,0.00014244691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009014043,0.00054997066,0.00070144644,0.0013330182,0.00042904567,0.0039123455,0.0002865381,0.001461146,0.03724032],"category_scores_gemma":[0.0046707387,0.00031008976,0.00031583384,0.0013212645,0.0010352451,0.0024057534,0.0008987123,0.0009603305,0.0058244173],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041258847,0.00041204895,0.2585515,0.00035776515,0.0003896646,0.0015379776,0.00058065396,0.018006895,0.0007288285,0.31329867,0.26607257,0.13965075],"study_design_scores_gemma":[0.00022479825,0.00022103991,0.20924148,0.0007473784,0.00039731144,0.002443592,0.0015173021,0.055335857,0.00027967978,0.5214407,0.20806915,0.00008177776],"about_ca_topic_score_codex":0.0060454467,"about_ca_topic_score_gemma":0.0054739323,"teacher_disagreement_score":0.03724032,"about_ca_system_score_codex":0.0012546465,"about_ca_system_score_gemma":0.0010930778,"threshold_uncertainty_score":0.12458128},"labels":[],"label_agreement":null},{"id":"W7096868902","doi":"","title":"Price Formation and Liquidity Provision in Short-Term Fixed Income Markets.” Bank of Canada Working Paper No","year":2007,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Transparency (behavior); Order (exchange); Asset (computer security); Government (linguistics); Private information retrieval; Market maker","score_opus":0.01876623490103181,"score_gpt":0.20096962783425038,"score_spread":0.18220339293321858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096868902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7093075,0.046909202,0.004419547,0.05755873,0.00038561595,0.00013485548,0.0099193165,0.00027810232,0.17108724],"genre_scores_gemma":[0.98222786,0.004336663,0.00035408163,0.00025667073,0.000078443816,0.000011915274,0.0009325038,0.00001563702,0.011786272],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996101,0.00003873693,0.000015847923,0.000041382427,0.000089271976,0.00020462893],"domain_scores_gemma":[0.99747133,0.00062724185,0.0006977953,0.000064894055,0.00073702575,0.0004018578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008789338,0.00020948742,0.00040651343,0.0011654056,0.002041078,0.0052492493,0.00080350763,0.001494391,0.01174273],"category_scores_gemma":[0.00531026,0.0004245781,0.00043965617,0.0017899317,0.001721168,0.0026836619,0.0007012603,0.001190284,0.0007446536],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010782141,0.0002471227,0.19603564,0.00047978637,0.0002702391,0.0023771212,0.0028216997,0.015800072,0.001508375,0.553756,0.14015988,0.08546585],"study_design_scores_gemma":[0.00029537262,0.000096696705,0.51799214,0.000538879,0.00038824033,0.00045887765,0.004813544,0.038411897,0.002514796,0.2792108,0.15509224,0.00018654283],"about_ca_topic_score_codex":0.72775656,"about_ca_topic_score_gemma":0.7693804,"teacher_disagreement_score":0.9791015,"about_ca_system_score_codex":0.020898525,"about_ca_system_score_gemma":0.014142051,"threshold_uncertainty_score":0.5476935},"labels":[],"label_agreement":null},{"id":"W7096870886","doi":"","title":"Best Ideas","year":2005,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Stock market; Quarter (Canadian coin); Conviction; Investment management; Stock market index","score_opus":0.032425547429145225,"score_gpt":0.21493947328344312,"score_spread":0.1825139258542979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096870886","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019371131,0.0057211393,0.023565881,0.07148618,0.012671496,0.0009480189,0.062049042,0.003384993,0.8008021],"genre_scores_gemma":[0.16760203,0.0063587753,0.026604882,0.025236472,0.0034158956,0.0016558142,0.043432496,0.0019585183,0.7237351],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960033,0.00093315745,0.00032262254,0.0006556544,0.0016633719,0.00042193802],"domain_scores_gemma":[0.97977877,0.005138103,0.0018685888,0.0047920505,0.0057887263,0.0026337309],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004257883,0.0006465048,0.00049876474,0.0022708923,0.0014228441,0.006176653,0.0015421963,0.0020606313,0.42787397],"category_scores_gemma":[0.04747098,0.00033002277,0.0007478067,0.0029255566,0.00080663996,0.0051941634,0.003058804,0.0022041942,0.20782407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014565389,0.00008555074,0.005943061,0.00022450589,0.00002176117,0.00018179046,0.00069032126,0.000160285,0.00014005248,0.03405876,0.8004013,0.157947],"study_design_scores_gemma":[0.000030542265,0.000034117846,0.002352483,0.00019977978,0.000010677884,0.00025538044,0.0007369796,0.00018004468,0.00017725656,0.016647013,0.9793521,0.000023589824],"about_ca_topic_score_codex":0.002409219,"about_ca_topic_score_gemma":0.0032385653,"teacher_disagreement_score":0.57212603,"about_ca_system_score_codex":0.001405486,"about_ca_system_score_gemma":0.0029505417,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7096920259","doi":"","title":"Institutions","year":2015,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Market liquidity; Institutional investor; Foreign ownership; Listing (finance)","score_opus":0.1616778716333286,"score_gpt":0.2541296327237025,"score_spread":0.09245176109037387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096920259","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6762769,0.0025263606,0.00337078,0.0029204823,0.000075508906,0.00025275233,0.02089576,0.00030414568,0.29337722],"genre_scores_gemma":[0.9410054,0.0011044451,0.0010253844,0.00043402932,0.000046209076,0.00005627547,0.0058245254,0.00002858955,0.050475035],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992693,0.000054299948,0.00002351864,0.0000989326,0.00022943277,0.00032460195],"domain_scores_gemma":[0.9950152,0.00041380906,0.002129085,0.00032656072,0.0010874462,0.0010278668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062231324,0.00021539709,0.00028715946,0.0017828709,0.001336126,0.0020535754,0.0006893191,0.00043237853,0.032660704],"category_scores_gemma":[0.004596193,0.00010930432,0.0002995735,0.0032561712,0.0005754993,0.0008475161,0.0007600558,0.0004751857,0.0032854197],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003788191,0.0004867291,0.64930624,0.00028243382,0.00019279317,0.00039878074,0.0016482944,0.007948519,0.0011212174,0.09891638,0.060953904,0.17836595],"study_design_scores_gemma":[0.0000708566,0.00015362466,0.79499185,0.00016605432,0.00010585468,0.0002592158,0.0029328745,0.0053866063,0.00080217916,0.012884143,0.18220034,0.00004632955],"about_ca_topic_score_codex":0.4808925,"about_ca_topic_score_gemma":0.5551894,"teacher_disagreement_score":0.4808925,"about_ca_system_score_codex":0.0074936175,"about_ca_system_score_gemma":0.0058871377,"threshold_uncertainty_score":0.95618683},"labels":[],"label_agreement":null},{"id":"W7096929390","doi":"","title":"Assessing portfolio performance using asset pricing kernels, Working Paper","year":2001,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stochastic discount factor; Capital asset pricing model; Portfolio; Equity (law); Asset (computer security); Arbitrage pricing theory; Basis risk; Consumption-based capital asset pricing model","score_opus":0.08974983957150001,"score_gpt":0.25774011469822816,"score_spread":0.16799027512672815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096929390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94764495,0.0026505913,0.036537357,0.000522621,0.000051193318,0.00006507478,0.001389533,0.0002744662,0.010864231],"genre_scores_gemma":[0.9935249,0.0004945751,0.0042097806,0.000008435163,0.000012604199,0.000010152049,0.0006753942,0.000016567195,0.0010475409],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941504,0.0001648764,0.000042289685,0.000064992426,0.00024637178,0.00006637239],"domain_scores_gemma":[0.9967392,0.0013806754,0.0006093399,0.0003960357,0.0006896112,0.00018510131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003367478,0.00034439092,0.00035923356,0.001365619,0.00024620022,0.0024919193,0.00043892235,0.00050943706,0.0015519778],"category_scores_gemma":[0.021573005,0.00018111597,0.00026114003,0.002085983,0.0003395736,0.0014784201,0.00043528088,0.00032012822,0.0004142731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032853105,0.00029289763,0.42192778,0.00015336036,0.00055489095,0.0002341575,0.0007148088,0.16379315,0.0027217562,0.025970742,0.01231713,0.37099072],"study_design_scores_gemma":[0.000039767707,0.0002737247,0.44187996,0.00013496305,0.00025432007,0.00028357038,0.0005756565,0.5057569,0.0048576347,0.036391936,0.009475078,0.00007639614],"about_ca_topic_score_codex":0.037494555,"about_ca_topic_score_gemma":0.019436212,"teacher_disagreement_score":0.037494555,"about_ca_system_score_codex":0.001597802,"about_ca_system_score_gemma":0.0013465675,"threshold_uncertainty_score":0.074552596},"labels":[],"label_agreement":null},{"id":"W7096936413","doi":"","title":"The Expected Marginal Rate of Substitution in the United States and Canada","year":2004,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Asset (computer security); Stock market; Substitution (logic); Bond; Financial asset; Capital asset pricing model","score_opus":0.017503154884710655,"score_gpt":0.1857666230675467,"score_spread":0.16826346818283605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096936413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9542684,0.0023936012,0.01025217,0.00089603924,0.000048062022,0.000035014717,0.008190622,0.00014254941,0.023773538],"genre_scores_gemma":[0.9925224,0.00044469372,0.0023007744,0.000040963765,0.0000070818774,0.000008442676,0.0021040072,0.000029604053,0.002542036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989208,0.00015992328,0.000052275416,0.00018257681,0.00041945773,0.0002650583],"domain_scores_gemma":[0.99614066,0.0011333557,0.0004441307,0.00030204243,0.0017399992,0.0002397414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014635755,0.0002093375,0.00040479953,0.0016133884,0.0007066739,0.0021601326,0.0008104549,0.00036925697,0.0021163519],"category_scores_gemma":[0.011162404,0.00017422973,0.00050288695,0.0026546435,0.00074322004,0.0008446573,0.0005318659,0.00053644227,0.0002255477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050825655,0.000043473214,0.65810406,0.00011410166,0.00042238898,0.0006281789,0.0016069928,0.08547537,0.0010750646,0.15973979,0.013102922,0.079179294],"study_design_scores_gemma":[0.000036187637,0.00003604855,0.7528104,0.00010871454,0.00009918851,0.0007246762,0.0018913569,0.16920517,0.0018502087,0.035275605,0.037743248,0.00021929151],"about_ca_topic_score_codex":0.944898,"about_ca_topic_score_gemma":0.89891255,"teacher_disagreement_score":0.05510199,"about_ca_system_score_codex":0.014867559,"about_ca_system_score_gemma":0.0104257,"threshold_uncertainty_score":0.11085296},"labels":[],"label_agreement":null},{"id":"W7097049780","doi":"","title":"Do Retail Traders Suffer from High Frequency Traders? Working Paper","year":2012,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); High-frequency trading; Limit (mathematics); Algorithmic trading; Order book; Trading turret","score_opus":0.06756671547615901,"score_gpt":0.2051711334802688,"score_spread":0.13760441800410977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097049780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919606,0.00046147165,0.00010623796,0.0018277466,0.0000150067435,0.0000143607385,0.0005259544,0.000008099469,0.005080504],"genre_scores_gemma":[0.9985178,0.00020878443,0.000046099773,0.00013888993,0.000012925629,0.000002184389,0.0002263288,0.0000026463797,0.0008442688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926,0.00006708828,0.000038955306,0.00012525042,0.00023972048,0.0002690091],"domain_scores_gemma":[0.99398875,0.0013027827,0.002431652,0.00048605958,0.000895083,0.00089563587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011109721,0.00013125314,0.00035283767,0.0005577265,0.0012021941,0.0034616187,0.00071627233,0.0008699644,0.004032185],"category_scores_gemma":[0.007545709,0.00018508027,0.00020728337,0.0016643647,0.0011438172,0.00095017673,0.0005912041,0.0011856677,0.00039133552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014644855,0.00013460372,0.97096246,0.000020888958,0.000036569912,0.00022870085,0.0019725591,0.00020753624,0.00019524919,0.0010045574,0.0030957747,0.02199463],"study_design_scores_gemma":[0.000030606574,0.000038459457,0.98671955,0.00002973402,0.000041346808,0.0001545332,0.006532165,0.0011959585,0.00020178007,0.00080525584,0.004234359,0.000016405644],"about_ca_topic_score_codex":0.6063986,"about_ca_topic_score_gemma":0.6339759,"teacher_disagreement_score":0.6063986,"about_ca_system_score_codex":0.003965847,"about_ca_system_score_gemma":0.0034842272,"threshold_uncertainty_score":0.7918388},"labels":[],"label_agreement":null},{"id":"W7097100600","doi":"","title":"Valuable information and costly liquidity: evidence from individual mutual fund trades. Working","year":2007,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mutual fund; Value (mathematics); Closed-end fund; Ideal (ethics); Measure (data warehouse); Open-end fund; Transaction cost","score_opus":0.1367471945830504,"score_gpt":0.25313779979728296,"score_spread":0.11639060521423256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097100600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99784267,0.00039401444,0.000063531574,0.00013782221,0.0000020884052,0.0000063280604,0.00021625025,0.0000026434884,0.0013346293],"genre_scores_gemma":[0.9991177,0.00020798607,0.000074601856,0.000021172134,0.000009186127,0.000004188432,0.00018936825,0.0000016538252,0.00037423696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921334,0.000280699,0.00008478854,0.0000707808,0.00021805348,0.00013225511],"domain_scores_gemma":[0.9522547,0.022438185,0.02015591,0.0019868542,0.0014043893,0.0017598266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024995285,0.00017711816,0.00029012404,0.0015510619,0.0009774296,0.0020364337,0.00045286075,0.0008947916,0.003439063],"category_scores_gemma":[0.027354915,0.00028046808,0.0002610519,0.0018401878,0.0011128851,0.0017709647,0.0012088852,0.0005752973,0.00037527576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001500257,0.00037810797,0.9627968,0.00008879735,0.00025261083,0.00052013266,0.0027903756,0.0008227123,0.0006688681,0.0019658739,0.0010751662,0.027140196],"study_design_scores_gemma":[0.000085851054,0.00034241006,0.98921555,0.00005227046,0.00018988506,0.00051188946,0.002357936,0.0014855292,0.0007902806,0.002726381,0.0021984787,0.00004361841],"about_ca_topic_score_codex":0.015675783,"about_ca_topic_score_gemma":0.03083093,"teacher_disagreement_score":0.015675783,"about_ca_system_score_codex":0.0010472698,"about_ca_system_score_gemma":0.00047263183,"threshold_uncertainty_score":0.031169057},"labels":[],"label_agreement":null},{"id":"W7097122172","doi":"","title":"HEC Montreal","year":2007,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quantile; Predictability; Quantile regression; Portfolio; Univariate; Stock (firearms); Conditional probability distribution","score_opus":0.024950635237980773,"score_gpt":0.20589221072109354,"score_spread":0.18094157548311277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097122172","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002614439,0.00604022,0.002018539,0.004394986,0.0018359368,0.00010111057,0.0058840537,0.0009060226,0.9762047],"genre_scores_gemma":[0.009761552,0.0026032417,0.0011486923,0.0006390851,0.00016414926,0.000050121595,0.0022763629,0.00026800603,0.9830888],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986993,0.00010370358,0.000040472452,0.0005561607,0.00039815644,0.00020216436],"domain_scores_gemma":[0.9989171,0.00014898302,0.00006720259,0.00016050236,0.00047170446,0.0002345849],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00050777034,0.0013030941,0.001012575,0.0016609858,0.0030347144,0.005242163,0.0020548012,0.0032702954,0.77065545],"category_scores_gemma":[0.0017196595,0.00050831394,0.00066855166,0.0017372543,0.0012654865,0.0021150047,0.0027900415,0.002141543,0.50746065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051124516,0.00022823569,0.0030333435,0.0007665289,0.00007050097,0.0016667318,0.000510188,0.001189137,0.0054195356,0.056923933,0.5291179,0.40056282],"study_design_scores_gemma":[0.000024330842,0.000027068749,0.0019023726,0.00012895821,0.000008425403,0.00024573517,0.00013401991,0.00026562958,0.0005638898,0.0022129244,0.99447095,0.000015794061],"about_ca_topic_score_codex":0.07166037,"about_ca_topic_score_gemma":0.10465053,"teacher_disagreement_score":0.22934455,"about_ca_system_score_codex":0.0039159395,"about_ca_system_score_gemma":0.0042603402,"threshold_uncertainty_score":0.3271321},"labels":[],"label_agreement":null},{"id":"W7097220722","doi":"","title":"Adopting PriceLevel Targeting under Imperfect Credibility. Working Paper 2008-3","year":2008,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Imperfect; Empirical evidence; Empirical research; Production (economics); Work (physics)","score_opus":0.060275053109848806,"score_gpt":0.21593963549585152,"score_spread":0.15566458238600273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097220722","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39764842,0.0072758296,0.10676773,0.071658544,0.0008263907,0.0010456396,0.0071096336,0.001844416,0.40582347],"genre_scores_gemma":[0.9859103,0.00072209776,0.0036844774,0.000671506,0.00010598577,0.000033863398,0.00031763953,0.000042050375,0.008512087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962065,0.0009578491,0.0001408357,0.00040488897,0.0010535355,0.001236367],"domain_scores_gemma":[0.98333585,0.0075288047,0.0026890284,0.0014694976,0.0039972905,0.0009796197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008662164,0.00059031084,0.0013833948,0.00076471997,0.0014600946,0.0053212806,0.0018429725,0.004454751,0.008409732],"category_scores_gemma":[0.04790866,0.00053132424,0.00040470462,0.0016103013,0.0017809032,0.0030617062,0.001833326,0.002904308,0.0014325768],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021306265,0.0004421586,0.042883553,0.0006385019,0.0004337974,0.0012283454,0.001113497,0.15860206,0.0052217306,0.42000666,0.1823015,0.18499759],"study_design_scores_gemma":[0.0015769182,0.00035112526,0.03440297,0.00035246252,0.0005905539,0.00040846577,0.0017219371,0.52326775,0.008953569,0.36374182,0.06442805,0.00020431654],"about_ca_topic_score_codex":0.46800867,"about_ca_topic_score_gemma":0.36420268,"teacher_disagreement_score":0.46800867,"about_ca_system_score_codex":0.010698784,"about_ca_system_score_gemma":0.022256693,"threshold_uncertainty_score":0.9305691},"labels":[],"label_agreement":null},{"id":"W7097240031","doi":"","title":"Fund flows and performance: a study of canadian equity mutual funds. Canadian Investment Review","year":2007,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Mutual fund; Panel data; Investment (military); Closed-end fund; Investment management; Set (abstract data type)","score_opus":0.09583486391242624,"score_gpt":0.26228005989589764,"score_spread":0.1664451959834714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097240031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4612003,0.4084245,0.0002450564,0.029673217,0.0002852614,0.00018826884,0.0142649785,0.000033494965,0.08568494],"genre_scores_gemma":[0.8979041,0.09029808,0.0002602037,0.0007144654,0.0001501992,0.0000435904,0.0025486057,0.000018558068,0.0080622835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99699163,0.0002464788,0.00010571341,0.00012854987,0.0019635654,0.0005641606],"domain_scores_gemma":[0.98412585,0.0025716156,0.003555008,0.00023346193,0.007874504,0.0016394525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033332964,0.0003217407,0.00047573706,0.011126199,0.0025931194,0.0039773253,0.00092856627,0.0008348997,0.0042152037],"category_scores_gemma":[0.018660767,0.00029366108,0.0004042444,0.026496304,0.0011091231,0.0012955996,0.000677766,0.0006499336,0.0002811023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038631857,0.00020137767,0.5082755,0.002128481,0.00046059996,0.00078789145,0.010953106,0.0014420693,0.00024424956,0.051436864,0.15335712,0.2703264],"study_design_scores_gemma":[0.000022533062,0.000026340449,0.89963514,0.0006537482,0.00016125652,0.00015698053,0.0030964103,0.0003676515,0.00008407196,0.00063231733,0.095126905,0.00003663516],"about_ca_topic_score_codex":0.9877194,"about_ca_topic_score_gemma":0.99265856,"teacher_disagreement_score":0.06851809,"about_ca_system_score_codex":0.06851809,"about_ca_system_score_gemma":0.08014436,"threshold_uncertainty_score":0.49713582},"labels":[],"label_agreement":null},{"id":"W7097356993","doi":"","title":"HEC Montreal","year":2008,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quantile; Predictability; Portfolio; Quantile regression; Stock (firearms); Volatility (finance); Expected return","score_opus":0.04023231740178493,"score_gpt":0.18847236247184446,"score_spread":0.14824004507005953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097356993","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025312607,0.0063850204,0.002156625,0.004199146,0.0019172386,0.000102168255,0.005252595,0.0009478446,0.97650814],"genre_scores_gemma":[0.008666916,0.0026949553,0.0011539578,0.00060640776,0.00015721814,0.00004902779,0.0021099092,0.00025927785,0.9843023],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987118,0.000098770346,0.00004037423,0.0005506291,0.00040765523,0.00019073539],"domain_scores_gemma":[0.99890065,0.00013696139,0.00006403365,0.00015526611,0.0005056046,0.00023746894],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00051375764,0.001319624,0.0010151858,0.0017130809,0.0029718843,0.005265431,0.002103501,0.0033671022,0.77460414],"category_scores_gemma":[0.0016863291,0.00050624734,0.0006539412,0.0018099414,0.0012214727,0.002195185,0.0027661829,0.0021096496,0.5279473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004769886,0.00022546749,0.0027207881,0.00073459774,0.00006667416,0.001522214,0.0005151514,0.0010739667,0.006060351,0.05003305,0.51797503,0.41859567],"study_design_scores_gemma":[0.000022682276,0.000027091008,0.0017482731,0.00012438603,0.000008504078,0.00025179083,0.00013247327,0.00022401019,0.000582223,0.0018530425,0.9950106,0.000014984692],"about_ca_topic_score_codex":0.06622995,"about_ca_topic_score_gemma":0.09452228,"teacher_disagreement_score":0.22539586,"about_ca_system_score_codex":0.003690864,"about_ca_system_score_gemma":0.0042218417,"threshold_uncertainty_score":0.32149982},"labels":[],"label_agreement":null},{"id":"W7097417560","doi":"","title":"A Trans-Niagara Tale of Informed Traders §","year":2009,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Stock exchange; Private information retrieval; Asset (computer security); Capital asset pricing model; Information transmission; Stock price; Algorithmic trading; Public information","score_opus":0.029529519636913252,"score_gpt":0.2150759893481589,"score_spread":0.18554646971124567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097417560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73780924,0.0034463638,0.016454052,0.023030363,0.00020731773,0.00005320314,0.0006095299,0.00009538876,0.2182945],"genre_scores_gemma":[0.98296195,0.00063740124,0.0015164579,0.0007546738,0.000066607,0.000010379367,0.00009624394,0.000008236841,0.013948126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993062,0.00015798227,0.000031105526,0.00019150067,0.00018245105,0.00013070513],"domain_scores_gemma":[0.9967899,0.0009289927,0.0009498956,0.0006264641,0.00041649278,0.00028821232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013112138,0.00024467564,0.00025284858,0.0007544298,0.0015409763,0.0061309924,0.000396291,0.0008635778,0.00949183],"category_scores_gemma":[0.0060713897,0.00020202443,0.0002747094,0.0009679985,0.0013204777,0.0034155808,0.0015893384,0.0011225846,0.00089026283],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079562236,0.00022458794,0.3306216,0.00018434678,0.00033351913,0.001811525,0.010210792,0.0060557146,0.005575847,0.4192462,0.016967466,0.20797285],"study_design_scores_gemma":[0.00013540327,0.00048384228,0.41029325,0.0005498076,0.00053158274,0.0035209993,0.025889667,0.04955076,0.008526438,0.2799716,0.22020985,0.0003368762],"about_ca_topic_score_codex":0.0343431,"about_ca_topic_score_gemma":0.054279238,"teacher_disagreement_score":0.9656569,"about_ca_system_score_codex":0.0016633739,"about_ca_system_score_gemma":0.0012794129,"threshold_uncertainty_score":0.06828642},"labels":[],"label_agreement":null},{"id":"W7097478444","doi":"","title":"The Role of Exchange Rates in Intertemporal Risk-Return Relations∗","year":2004,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Currency; Equity (law); Stock (firearms); Stock market; Covariance; Ranking (information retrieval); Conditional variance; Exchange rate","score_opus":0.017558305450562976,"score_gpt":0.20671676815931908,"score_spread":0.1891584627087561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097478444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777809,0.0038820833,0.009342853,0.0006977778,0.00003969027,0.000017328122,0.00033271915,0.00005256668,0.007854067],"genre_scores_gemma":[0.9965823,0.0011651804,0.00097375305,0.00006586491,0.00005056948,0.000004885884,0.00022512149,0.000028241393,0.0009040285],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99927,0.00036225875,0.00006678044,0.00012261854,0.00010060176,0.000077580604],"domain_scores_gemma":[0.9749444,0.015989976,0.00663309,0.0011838723,0.00074373133,0.0005050035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030128502,0.00061585475,0.000536076,0.0014164627,0.00031758173,0.0031287142,0.00042194076,0.0007526012,0.0034826864],"category_scores_gemma":[0.017672246,0.00045935056,0.0006286944,0.0020604804,0.00078767876,0.0028191202,0.0009458623,0.0011818312,0.0007167903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008831575,0.0001754511,0.89548796,0.000157409,0.0006913102,0.00087337807,0.0011270567,0.016226344,0.0051745567,0.033474267,0.0006010218,0.0451281],"study_design_scores_gemma":[0.000037902246,0.00014525023,0.9527408,0.00006454445,0.00026564696,0.00055434,0.00041086256,0.01839975,0.0013934193,0.023450509,0.002461785,0.00007530332],"about_ca_topic_score_codex":0.00145273,"about_ca_topic_score_gemma":0.0010817709,"teacher_disagreement_score":0.0034826864,"about_ca_system_score_codex":0.00032779487,"about_ca_system_score_gemma":0.0002047018,"threshold_uncertainty_score":0.015933692},"labels":[],"label_agreement":null},{"id":"W7097499538","doi":"","title":"Seasonal asset allocation: evidence from mutual fund flows’, working paper","year":2011,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Mutual fund; Equity (law); Stock (firearms); Asset allocation; Asset (computer security); Alternative asset; Target date fund","score_opus":0.1579582182115647,"score_gpt":0.239770460998909,"score_spread":0.08181224278734431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097499538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99451894,0.0007115145,0.00014473102,0.00065376726,0.00001046519,0.000006806375,0.0009524453,0.000007642636,0.0029937],"genre_scores_gemma":[0.9980578,0.00038068232,0.00009852998,0.000050636383,0.00002187156,0.000004256862,0.0006753853,0.0000029734101,0.0007077788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964225,0.00009819175,0.000035945162,0.000056906796,0.000092224225,0.00007437804],"domain_scores_gemma":[0.99143195,0.0019519768,0.004790227,0.00052338664,0.0006853325,0.00061704783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011763334,0.00010028438,0.00012760151,0.0011116079,0.0005056438,0.0007827571,0.00030406,0.00036134143,0.0026346568],"category_scores_gemma":[0.010544597,0.00013730513,0.00014647625,0.0013018895,0.0004033733,0.00083042594,0.00072141463,0.00030988108,0.00028792268],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027230277,0.000044994296,0.9761044,0.000028390028,0.00009899525,0.0001199713,0.0010399225,0.00024395426,0.00022979273,0.0014228716,0.0030572629,0.017337134],"study_design_scores_gemma":[0.000012263056,0.000026433921,0.99540687,0.0000119278675,0.00003058013,0.00007789869,0.00040389068,0.00039448452,0.00015139108,0.000485612,0.0029937637,0.000004923071],"about_ca_topic_score_codex":0.03426024,"about_ca_topic_score_gemma":0.045453083,"teacher_disagreement_score":0.03426024,"about_ca_system_score_codex":0.0006366355,"about_ca_system_score_gemma":0.00042470664,"threshold_uncertainty_score":0.06812167},"labels":[],"label_agreement":null},{"id":"W7097509209","doi":"","title":"notice, is given to the source. Reconciling the Return Predictability Evidence","year":2006,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Predictability; Term (time); Subject (documents); Counterfactual thinking; Work (physics)","score_opus":0.04487446025719182,"score_gpt":0.22004093243307957,"score_spread":0.17516647217588774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097509209","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003985706,0.007098671,0.0046649757,0.6473532,0.05174917,0.00043855957,0.065679565,0.0017736459,0.21725662],"genre_scores_gemma":[0.10372337,0.014587335,0.010982044,0.12684603,0.04009891,0.00092376495,0.036449775,0.002939557,0.66344917],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99840325,0.00025653205,0.00018209245,0.00015009344,0.00078645826,0.00022154237],"domain_scores_gemma":[0.9665854,0.017182032,0.0016660903,0.0014941689,0.011945801,0.0011265641],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00418682,0.00069604523,0.0010389363,0.0037503508,0.0017518039,0.0023734898,0.0022195217,0.0042709103,0.33499807],"category_scores_gemma":[0.05293961,0.00044523113,0.00074467907,0.005094274,0.0005217512,0.0024763942,0.0018041931,0.0035582073,0.07772752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054933967,0.000015199546,0.0007345781,0.00007009644,0.0000081877715,0.000093574155,0.00007686929,0.00008321833,0.00007835537,0.004683786,0.9834042,0.010696981],"study_design_scores_gemma":[0.000066102795,0.000018766403,0.011452784,0.00023292207,0.00003517248,0.000097403725,0.0005627372,0.00087181217,0.00071271707,0.006315678,0.9795727,0.00006121426],"about_ca_topic_score_codex":0.086946145,"about_ca_topic_score_gemma":0.08135736,"teacher_disagreement_score":0.6650019,"about_ca_system_score_codex":0.0037236593,"about_ca_system_score_gemma":0.0036041804,"threshold_uncertainty_score":0.94854456},"labels":[],"label_agreement":null},{"id":"W7097577865","doi":"","title":"Information diversity and market efficiency spirals, Working paper, Wharton Upenn and Rotman Toronto","year":2011,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Value (mathematics); Market efficiency; Information economics; Information transmission; Value of information; Efficient-market hypothesis; Information technology","score_opus":0.036882508768864335,"score_gpt":0.1799274460916967,"score_spread":0.14304493732283236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097577865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68160766,0.070050396,0.03605071,0.060480207,0.00029826723,0.00010716791,0.0020040255,0.00024902818,0.14915258],"genre_scores_gemma":[0.9757961,0.014034433,0.0017881192,0.0002598343,0.000101235324,0.000027798435,0.000249435,0.000023303983,0.0077197226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99968636,0.000086630884,0.000020476764,0.00004913099,0.000072041854,0.000085317246],"domain_scores_gemma":[0.9950413,0.0031290464,0.00080359064,0.0003067159,0.00041440717,0.0003048251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014919669,0.00031687194,0.0005811878,0.0013653745,0.00092440227,0.0042069554,0.00034700488,0.0011950266,0.005740073],"category_scores_gemma":[0.013785028,0.00056854554,0.00049729313,0.0023121664,0.0017551425,0.0058077667,0.0011715032,0.001019309,0.00040059828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004700455,0.0002249853,0.052191168,0.00034870574,0.00032241642,0.00068512117,0.0022194306,0.07896029,0.0010400129,0.6731824,0.06577204,0.12458337],"study_design_scores_gemma":[0.00015744296,0.00010906703,0.0412075,0.0003511552,0.0002006172,0.00044672852,0.0015053452,0.08809771,0.00079477724,0.827543,0.039513104,0.00007353246],"about_ca_topic_score_codex":0.012668271,"about_ca_topic_score_gemma":0.013207251,"teacher_disagreement_score":0.012668271,"about_ca_system_score_codex":0.0028823086,"about_ca_system_score_gemma":0.0017854637,"threshold_uncertainty_score":0.025189102},"labels":[],"label_agreement":null},{"id":"W7097677966","doi":"","title":"Word-of-Mouth Effects in the Holdings and Trades of Money Managers","year":2003,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Variety (cybernetics); Quarter (Canadian coin); Investment management; Investment (military)","score_opus":0.021742662399971555,"score_gpt":0.1983404774663195,"score_spread":0.17659781506634795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097677966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985072,0.00024782415,0.00016141163,0.0002194003,0.000016739421,0.000006941443,0.00009996952,0.000004022947,0.00073641236],"genre_scores_gemma":[0.9990343,0.00009004946,0.000077769095,0.000062376275,0.000029252658,0.0000051725287,0.00007122046,0.000003225318,0.0006266812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869615,0.0005548753,0.00013906864,0.00025545314,0.00017016166,0.00018433954],"domain_scores_gemma":[0.94070196,0.03397073,0.019741997,0.0016753749,0.0007750978,0.0031349086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032771917,0.00027788308,0.00052087364,0.00082952605,0.00042036737,0.0017823848,0.0003761187,0.0014441801,0.012773984],"category_scores_gemma":[0.02384356,0.00028162726,0.00051791605,0.00075129454,0.0010434098,0.0012943557,0.0010393324,0.0014192415,0.00089961436],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026892645,0.00063511834,0.97406334,0.00015439758,0.000612217,0.0008836311,0.0021199624,0.0012327917,0.0036151477,0.0017216996,0.0009025828,0.011369889],"study_design_scores_gemma":[0.000092091184,0.00035488303,0.98997504,0.000050078947,0.0003472609,0.0003429708,0.001757033,0.003090662,0.0007146829,0.0027354436,0.0005062774,0.00003356202],"about_ca_topic_score_codex":0.0024501593,"about_ca_topic_score_gemma":0.0028077918,"teacher_disagreement_score":0.012773984,"about_ca_system_score_codex":0.00038801416,"about_ca_system_score_gemma":0.00019185616,"threshold_uncertainty_score":0.042733252},"labels":[],"label_agreement":null},{"id":"W7097697515","doi":"","title":"Institutions","year":2014,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Market liquidity; Institutional investor; Foreign ownership; Listing (finance)","score_opus":0.055366816047719015,"score_gpt":0.22196533146841374,"score_spread":0.16659851542069473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097697515","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67272097,0.0025249475,0.003358274,0.002931697,0.00007519745,0.00025220044,0.02058417,0.00030380476,0.29724872],"genre_scores_gemma":[0.9408564,0.0011046625,0.0010224577,0.0004333766,0.000045944893,0.000055878972,0.0057302145,0.000028287664,0.050722774],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927217,0.000054494125,0.000023420134,0.00009849062,0.00022908076,0.00032235798],"domain_scores_gemma":[0.9950117,0.00041428598,0.002135989,0.00032775672,0.0010861562,0.0010241768],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000618829,0.00021435099,0.0002848776,0.0017729527,0.001333182,0.002047396,0.00068502175,0.00043067572,0.03282283],"category_scores_gemma":[0.004577952,0.00010932475,0.00029621174,0.0032464927,0.0005765642,0.0008457151,0.0007563013,0.0004707645,0.0032999013],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037716763,0.00048859976,0.64676607,0.00028033505,0.00019007587,0.00039613247,0.0016305177,0.007971275,0.0011218087,0.0999066,0.060843337,0.18002813],"study_design_scores_gemma":[0.000071152856,0.00015458773,0.7930231,0.00016714969,0.0001052193,0.00026205758,0.002919676,0.005395171,0.0008011823,0.013100274,0.18395403,0.00004640897],"about_ca_topic_score_codex":0.47466794,"about_ca_topic_score_gemma":0.54954284,"teacher_disagreement_score":0.96717715,"about_ca_system_score_codex":0.0074627344,"about_ca_system_score_gemma":0.0058720154,"threshold_uncertainty_score":0.9438101},"labels":[],"label_agreement":null},{"id":"W7097704218","doi":"","title":"Liquidity Supply and Demand: Empirical Evidence from the Vancouver Stock Exchange», working paper","year":2002,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Stock (firearms); Empirical evidence; Market maker; Order (exchange); Stock market; Funding liquidity; Order book","score_opus":0.1364474626230049,"score_gpt":0.24536304282476468,"score_spread":0.10891558020175979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097704218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890637,0.0008002339,0.00006547348,0.00055835076,0.000007341839,0.000012874901,0.006079394,0.000011224751,0.0034015067],"genre_scores_gemma":[0.9833968,0.00084749964,0.00013935384,0.00010220373,0.000026555748,0.000016786846,0.012783707,0.000008934611,0.0026779487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995764,0.00007178759,0.000038273676,0.00005134828,0.00020393006,0.00005828408],"domain_scores_gemma":[0.990266,0.0035765148,0.0022735489,0.00054830423,0.001961898,0.001373825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085860444,0.0002381572,0.0004556646,0.0018120446,0.0012648291,0.0025345194,0.0007396949,0.0006359169,0.0042216694],"category_scores_gemma":[0.008518928,0.0003971809,0.00020026459,0.0038904385,0.00057561975,0.00067296915,0.0007346853,0.0009210114,0.001111387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031760725,0.00011628226,0.98289436,0.000045786965,0.00011632851,0.0001892671,0.0006813336,0.00060387544,0.00023180513,0.0004833151,0.005799878,0.008520167],"study_design_scores_gemma":[0.000038881295,0.000021653499,0.9946582,0.000021543588,0.000028951994,0.00006566524,0.00079435593,0.0011593684,0.000092716386,0.00027766006,0.002826071,0.0000149915895],"about_ca_topic_score_codex":0.60985976,"about_ca_topic_score_gemma":0.7861834,"teacher_disagreement_score":0.39014024,"about_ca_system_score_codex":0.0024660996,"about_ca_system_score_gemma":0.0017679604,"threshold_uncertainty_score":0.7848757},"labels":[],"label_agreement":null},{"id":"W7097780548","doi":"","title":"and Price Discovery Evidence from the U.S. Treasury Market","year":2008,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Treasury; Price discovery; Empirical evidence; Empirical research","score_opus":0.0552639777850596,"score_gpt":0.2026447086531093,"score_spread":0.1473807308680497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097780548","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9028317,0.0041881707,0.00066105905,0.009026817,0.0001753387,0.00008951642,0.017718254,0.00011539311,0.06519383],"genre_scores_gemma":[0.98525316,0.001039091,0.00029166343,0.00039509503,0.000075203694,0.000008198387,0.0063842083,0.000026800895,0.0065267077],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981468,0.000109662484,0.00010828766,0.00017807282,0.0010755728,0.00038166693],"domain_scores_gemma":[0.9662901,0.008031257,0.0059982147,0.0020000627,0.015409347,0.002271011],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002068528,0.0002542376,0.00073314307,0.002720882,0.0032446308,0.0035067329,0.0012460486,0.0010555721,0.011454221],"category_scores_gemma":[0.030473653,0.0003634499,0.00039429456,0.006282976,0.0012985583,0.0019789736,0.00093894807,0.0016818318,0.001190054],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016251017,0.00043900177,0.75996524,0.00028563273,0.00052622973,0.00094422593,0.002432612,0.0027317628,0.0011626269,0.035417814,0.1254783,0.06899138],"study_design_scores_gemma":[0.00017570399,0.000050655715,0.9518841,0.00009484016,0.00023841817,0.00015448035,0.0015798452,0.0070934016,0.0009865857,0.0055449847,0.032095958,0.00010097975],"about_ca_topic_score_codex":0.9671441,"about_ca_topic_score_gemma":0.97639936,"teacher_disagreement_score":0.9885458,"about_ca_system_score_codex":0.012206695,"about_ca_system_score_gemma":0.017428035,"threshold_uncertainty_score":0.088566124},"labels":[],"label_agreement":null},{"id":"W7097784049","doi":"","title":"Comments Welcome","year":2004,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Stock market; Asset (computer security); Empirical research; Financial asset; Financial market","score_opus":0.03746083731053982,"score_gpt":0.21328469900693697,"score_spread":0.17582386169639716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097784049","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001063999,0.0026760488,0.0035480468,0.25981182,0.2386702,0.0006696282,0.008170732,0.003547179,0.48184234],"genre_scores_gemma":[0.0040373933,0.00092405797,0.0012572114,0.04731815,0.01614697,0.00027079516,0.0022707295,0.0012284279,0.92654616],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99695957,0.00066699187,0.0001897449,0.00046687547,0.0013885999,0.0003282318],"domain_scores_gemma":[0.9804597,0.0031953736,0.00055990857,0.001327909,0.011593136,0.0028641424],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0032995231,0.00090669264,0.00087661383,0.0017531835,0.0025596288,0.0040492984,0.0022260076,0.0043583764,0.6690848],"category_scores_gemma":[0.036801364,0.0003703352,0.0007466702,0.0012100593,0.00086407416,0.0037633288,0.0034357654,0.005130233,0.453357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015980724,0.000005825469,0.000058355417,0.000032123884,9.600888e-7,0.00004632147,0.000043727072,0.000011995544,0.000042392934,0.00082580897,0.9880229,0.010893705],"study_design_scores_gemma":[0.000003940408,0.0000040700666,0.000097876786,0.000037264304,9.52488e-7,0.000032445863,0.00010612718,0.000015885038,0.00003112896,0.00030786803,0.99935836,0.0000040983914],"about_ca_topic_score_codex":0.004968026,"about_ca_topic_score_gemma":0.008959912,"teacher_disagreement_score":0.3309152,"about_ca_system_score_codex":0.002454667,"about_ca_system_score_gemma":0.0033617956,"threshold_uncertainty_score":0.47201037},"labels":[],"label_agreement":null},{"id":"W7097901197","doi":"","title":"© notice, is given to the source. Thy Neighbor’s Portfolio: Word-of-Mouth Effects in the Holdings and Trades of Money Managers","year":2003,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Variety (cybernetics); Quarter (Canadian coin); Investment management; Investment (military)","score_opus":0.017279249393271277,"score_gpt":0.20358500330156015,"score_spread":0.18630575390828888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097901197","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009905601,0.0014686674,0.0017394066,0.027642608,0.011689852,0.0002649107,0.17974004,0.0034416416,0.7641073],"genre_scores_gemma":[0.03574979,0.0017004614,0.00091796584,0.0016990543,0.0015369289,0.00016650741,0.036491614,0.0011169162,0.92062074],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9998461,0.000022341726,0.000013322979,0.000023068435,0.00006222558,0.00003284112],"domain_scores_gemma":[0.9969537,0.0010488051,0.0002744106,0.00024583185,0.0010309627,0.00044625805],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042619652,0.00045413774,0.000538941,0.0016900339,0.0007795581,0.0019836125,0.0006288299,0.0010460265,0.80180174],"category_scores_gemma":[0.006242093,0.00023078204,0.00041040953,0.0021314896,0.00023554734,0.0013496482,0.0010058432,0.0011433379,0.46377447],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011555275,0.00003191334,0.0014093138,0.00008358117,0.000006036566,0.000036503992,0.00008534028,0.000055450433,0.00011361068,0.0015004484,0.9744152,0.022146974],"study_design_scores_gemma":[0.00015940354,0.00007732637,0.026245661,0.00024237436,0.00002371438,0.00012390457,0.00061882805,0.00071528676,0.00042267007,0.0021739264,0.96917266,0.000024272998],"about_ca_topic_score_codex":0.02382545,"about_ca_topic_score_gemma":0.01990417,"teacher_disagreement_score":0.80180174,"about_ca_system_score_codex":0.00058556587,"about_ca_system_score_gemma":0.0005805212,"threshold_uncertainty_score":0.28270578},"labels":[],"label_agreement":null},{"id":"W7098102546","doi":"","title":"Quebec (Quebec)","year":2004,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exploit; Stock (firearms); Assertion; Short interest ratio; Sales management; Stock market; Short run","score_opus":0.02440041283089798,"score_gpt":0.19814160460285252,"score_spread":0.17374119177195455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098102546","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021266172,0.008755528,0.0020050043,0.0070267417,0.00070439215,0.00017149048,0.035875674,0.0005011866,0.9236938],"genre_scores_gemma":[0.08285723,0.0028951138,0.00228868,0.0015157274,0.000048907932,0.000062795676,0.009643327,0.00016174157,0.9005264],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993673,0.000048855803,0.000020310714,0.00014220594,0.00025385307,0.0001675062],"domain_scores_gemma":[0.9988807,0.000091739734,0.00006462772,0.00006005707,0.00074238813,0.00016038299],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039465967,0.00069692836,0.00046896597,0.001194986,0.004353773,0.0033778131,0.001064919,0.0008735128,0.263593],"category_scores_gemma":[0.001333779,0.00030172698,0.0004018787,0.0028546127,0.00065004634,0.0008151574,0.00076727447,0.0010505249,0.033570647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032240545,0.00011894083,0.025730452,0.00059353194,0.000095000054,0.0017052003,0.001113349,0.0014848581,0.0025391893,0.052636523,0.58247656,0.33118403],"study_design_scores_gemma":[0.000027286424,0.000022671822,0.024632843,0.00017512335,0.000022068854,0.00030683415,0.00069360196,0.00071027305,0.0005648352,0.0011225111,0.9716912,0.00003084235],"about_ca_topic_score_codex":0.9774761,"about_ca_topic_score_gemma":0.9900328,"teacher_disagreement_score":0.9774761,"about_ca_system_score_codex":0.027201766,"about_ca_system_score_gemma":0.026487352,"threshold_uncertainty_score":0.8818064},"labels":[],"label_agreement":null},{"id":"W7099138799","doi":"","title":"Breadth of ownership and stock returns","year":2001,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decile; Stock (firearms); Constraint (computer-aided design); Quarter (Canadian coin); Stock market; Sample (material)","score_opus":0.05010840422373323,"score_gpt":0.21686163826012173,"score_spread":0.1667532340363885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099138799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97213584,0.0013273739,0.017052697,0.0012981782,0.000015266729,0.000039301245,0.00068374805,0.00005725375,0.0073903054],"genre_scores_gemma":[0.99713576,0.00027280702,0.0006086422,0.000032542004,0.000024205865,0.000010560006,0.00013999591,0.0000030060987,0.0017724234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974793,0.00006388556,0.00001585564,0.00004439384,0.000044883098,0.000082977065],"domain_scores_gemma":[0.9978409,0.00082176045,0.0008844515,0.000104887826,0.00008019925,0.00026784936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080955954,0.00036949944,0.00030457438,0.00058873475,0.00019799985,0.0013968905,0.0005023353,0.0009008899,0.004899046],"category_scores_gemma":[0.0044688596,0.0002685896,0.00032304233,0.00053396536,0.0005027194,0.0016323709,0.0009756353,0.00065253564,0.00069317326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036577586,0.00037707493,0.63464385,0.000072503404,0.00025604182,0.0011143789,0.0004003123,0.2556945,0.0023428104,0.06619282,0.002620311,0.035919614],"study_design_scores_gemma":[0.00013378279,0.00044208675,0.25260603,0.00006798396,0.00016773847,0.00090539834,0.00030124185,0.6449152,0.00077372993,0.093817286,0.0058035995,0.00006594141],"about_ca_topic_score_codex":0.005989379,"about_ca_topic_score_gemma":0.0039994535,"teacher_disagreement_score":0.005989379,"about_ca_system_score_codex":0.00066214945,"about_ca_system_score_gemma":0.0003019451,"threshold_uncertainty_score":0.016388953},"labels":[],"label_agreement":null},{"id":"W7099290970","doi":"","title":"108Copyright © Canadian Academy of Oriental and Occidental Culture Prototype Account of Tense-Aspect Morphology Acquisition—A Review and Its Prospect","year":2012,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Morphology (biology); Line drawings; Line (geometry)","score_opus":0.023210983815687238,"score_gpt":0.23859992325890278,"score_spread":0.21538893944321555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099290970","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007128266,0.7888418,0.0011408859,0.019119814,0.0022936796,0.00001336509,0.00034075213,0.00004163505,0.18107986],"genre_scores_gemma":[0.14324938,0.8038591,0.0020673936,0.0030441177,0.0029535734,0.000025032205,0.00044222176,0.00003787342,0.044321332],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998318,0.00003223277,0.000013098,0.000031395517,0.00006395346,0.00002737329],"domain_scores_gemma":[0.99930656,0.00018759737,0.00007630527,0.00004752872,0.00033765822,0.000044327207],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005837579,0.00044963378,0.00050193013,0.0022421596,0.00087371806,0.0032253957,0.000820306,0.0007365065,0.015485738],"category_scores_gemma":[0.0011823209,0.00013384255,0.00022290104,0.004960176,0.0017857975,0.0022587217,0.00044916855,0.0005865795,0.0014796568],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094698895,0.00004432416,0.0069618244,0.0030014978,0.00012751578,0.0009093665,0.001467248,0.0004704123,0.000768652,0.18552108,0.14519341,0.65544],"study_design_scores_gemma":[0.0000079037845,0.000015023872,0.022667725,0.0015107385,0.00007676968,0.0007376052,0.0018503759,0.000408737,0.00021798453,0.026156062,0.94632435,0.000026761576],"about_ca_topic_score_codex":0.081592925,"about_ca_topic_score_gemma":0.1316953,"teacher_disagreement_score":0.98451424,"about_ca_system_score_codex":0.0032788601,"about_ca_system_score_gemma":0.0053293863,"threshold_uncertainty_score":0.16223598},"labels":[],"label_agreement":null},{"id":"W7099412870","doi":"","title":"1 VLH: Development of a new turbine for Very Low Head sites","year":2015,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Head (geology); Turbine; Software deployment; Range (aeronautics); Joint (building); Francis turbine; Draft tube","score_opus":0.11592707762652171,"score_gpt":0.2539528923188995,"score_spread":0.1380258146923778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099412870","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35648674,0.0021667145,0.43316695,0.0028476485,0.0018376851,0.007609359,0.010193666,0.030537764,0.15515347],"genre_scores_gemma":[0.53785276,0.00075901946,0.2725099,0.0007513011,0.00021844453,0.00094863604,0.011566561,0.0011413569,0.174252],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989674,0.000041488787,0.000022191069,0.0001456747,0.000667096,0.00015619972],"domain_scores_gemma":[0.99954295,0.000011660695,0.00002236347,0.0000411213,0.00019962572,0.00018231857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009201821,0.0004996846,0.0006355116,0.0007772686,0.0010684533,0.0010717568,0.0015608089,0.0009824408,0.008710652],"category_scores_gemma":[0.00038695248,0.00044339255,0.0004732255,0.00047843705,0.0009809751,0.0010370406,0.0015017828,0.0009885767,0.004920278],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005404426,0.00059766165,0.021163559,0.00095258653,0.000071072056,0.0017924781,0.000696491,0.024613157,0.37573698,0.011794226,0.09297219,0.46906918],"study_design_scores_gemma":[0.00084674667,0.003224275,0.10068438,0.0001706529,0.00008277141,0.0017731044,0.00047724415,0.061142184,0.10785181,0.0016674655,0.7217284,0.00035094496],"about_ca_topic_score_codex":0.07136013,"about_ca_topic_score_gemma":0.122936524,"teacher_disagreement_score":0.07136013,"about_ca_system_score_codex":0.0024532601,"about_ca_system_score_gemma":0.0067692897,"threshold_uncertainty_score":0.14188957},"labels":[],"label_agreement":null},{"id":"W7099756342","doi":"","title":"Empirical Asset Pricing: The Beta Method versus the Stochastic Discount Factor Method,” working paper","year":2001,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kurtosis; Skewness; Stochastic discount factor; Variance (accounting); Inference; Normality; Factor analysis; Risk premium","score_opus":0.1362833417932886,"score_gpt":0.33075908393341147,"score_spread":0.19447574214012286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099756342","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11152473,0.14005975,0.5730255,0.08208539,0.0027415708,0.0004827031,0.005027316,0.0014420991,0.083610885],"genre_scores_gemma":[0.6695291,0.0575648,0.2226462,0.0022961502,0.0017449858,0.00025458017,0.004105923,0.00043716186,0.04142108],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996534,0.0018083787,0.000150085,0.00035740584,0.00094124844,0.00020892877],"domain_scores_gemma":[0.98710805,0.0064085512,0.0007339307,0.0012840055,0.004083568,0.00038184604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009284985,0.0005909923,0.00083604566,0.0027844368,0.00085948926,0.002934797,0.0015257573,0.0011807054,0.004319418],"category_scores_gemma":[0.041958883,0.000671006,0.00065345207,0.00499874,0.0027033968,0.0031170775,0.0010450064,0.0019998394,0.00069236115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030284715,0.00007701005,0.046243396,0.00029078344,0.00056554045,0.000258238,0.0006554318,0.0356941,0.00033358493,0.3788836,0.098945245,0.43775025],"study_design_scores_gemma":[0.00018623324,0.00005692477,0.06985585,0.0007709193,0.00024819392,0.00025305123,0.0009284015,0.36549097,0.0015891418,0.39165193,0.16877055,0.0001978384],"about_ca_topic_score_codex":0.5740792,"about_ca_topic_score_gemma":0.4982444,"teacher_disagreement_score":0.5740792,"about_ca_system_score_codex":0.009698606,"about_ca_system_score_gemma":0.012051525,"threshold_uncertainty_score":0.85685825},"labels":[],"label_agreement":null},{"id":"W7100086261","doi":"","title":"Valuable information and costly liquidity: Evidence from individual mutual fund trades. Working paper","year":2007,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mutual fund; Closed-end fund; Value (mathematics); Open-end fund; Fund of funds; Ideal (ethics); Stable value fund; Institutional investor","score_opus":0.11739779706124583,"score_gpt":0.2476961658582519,"score_spread":0.13029836879700607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100086261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99589974,0.00080495415,0.000082255596,0.00027826073,0.0000036058411,0.000012146628,0.000506967,0.0000038554945,0.0024082353],"genre_scores_gemma":[0.9986873,0.0003301971,0.000081115606,0.000034697827,0.000010124111,0.000004711005,0.00033337003,0.000002072804,0.00051629596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990404,0.0002472811,0.000078082,0.000096648364,0.00034657336,0.00019096778],"domain_scores_gemma":[0.95147306,0.02015423,0.022107044,0.0018831647,0.0023900177,0.0019925912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024205984,0.0001994277,0.00033181312,0.0016365274,0.0015804943,0.002326963,0.00062865845,0.0009105778,0.0032677785],"category_scores_gemma":[0.031950876,0.0003013458,0.000241829,0.0024338807,0.001494816,0.001296097,0.0010882549,0.0006343703,0.00027231267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010619998,0.00028149335,0.96439725,0.00009199971,0.00026088182,0.00047353175,0.002965931,0.0010402504,0.00044232613,0.0020648122,0.0020296245,0.024889942],"study_design_scores_gemma":[0.00007972117,0.00013969436,0.99020654,0.000053793934,0.00018157117,0.00030709774,0.0024645953,0.0012398663,0.0004427419,0.0018139421,0.0030300803,0.00004033166],"about_ca_topic_score_codex":0.26021844,"about_ca_topic_score_gemma":0.34398657,"teacher_disagreement_score":0.26021844,"about_ca_system_score_codex":0.0031725396,"about_ca_system_score_gemma":0.0016934518,"threshold_uncertainty_score":0.5174076},"labels":[],"label_agreement":null},{"id":"W7100187947","doi":"","title":"Cross-Border Trading and Price Discovery","year":2011,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Price discovery; Cointegration; Stock exchange; Sample (material); Stock (firearms); Share price; Stock price; Relative price","score_opus":0.04313745754108517,"score_gpt":0.2650248253391393,"score_spread":0.22188736779805412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100187947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929282,0.0005807707,0.00046890054,0.00024846543,0.000010173663,0.0000070224355,0.00009354688,0.000011492157,0.0056513483],"genre_scores_gemma":[0.99904054,0.00014863444,0.000094949566,0.000022054539,0.000008556812,0.000001071496,0.000084252635,0.0000021743251,0.00059777894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872476,0.00020625803,0.00011642271,0.00026421616,0.00043660786,0.00025177083],"domain_scores_gemma":[0.98855907,0.0044942596,0.0047120578,0.00081405987,0.0009296629,0.0004908496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012874919,0.0001757258,0.0004010746,0.0014542928,0.0007303488,0.0026509268,0.00037645551,0.00056335656,0.002815538],"category_scores_gemma":[0.012553134,0.00020682339,0.0002708784,0.0021735067,0.001024181,0.0018589143,0.0015094926,0.000731003,0.00017857361],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021596938,0.00007643446,0.9467336,0.00004001224,0.00014132031,0.001204546,0.0018350439,0.0015132523,0.0012427464,0.0066227857,0.00063947943,0.039734747],"study_design_scores_gemma":[0.000014135629,0.0000385919,0.98726624,0.000021377124,0.000054389162,0.0004050799,0.0014411324,0.004347291,0.0009440623,0.0032884604,0.0021578632,0.000021292664],"about_ca_topic_score_codex":0.0405097,"about_ca_topic_score_gemma":0.05292006,"teacher_disagreement_score":0.0405097,"about_ca_system_score_codex":0.0018855517,"about_ca_system_score_gemma":0.0008709457,"threshold_uncertainty_score":0.08054781},"labels":[],"label_agreement":null},{"id":"W7100543101","doi":"","title":"PRELIMINARY AND INCOMPLETE. PLEASE DO NOT QUOTE","year":2005,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Stock market; Database transaction; Asset (computer security); Stock (firearms); Herding; Herd behavior; Herd","score_opus":0.032118554734636276,"score_gpt":0.21154096504761996,"score_spread":0.17942241031298367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100543101","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038460055,0.0068322816,0.029958935,0.03633851,0.030926323,0.0013332408,0.40839162,0.0043120114,0.4780611],"genre_scores_gemma":[0.037574533,0.009447762,0.017811323,0.0058882674,0.004258038,0.0017012598,0.22826068,0.0016900589,0.6933681],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836785,0.0003464195,0.00022471993,0.00021056617,0.00067539635,0.00017501505],"domain_scores_gemma":[0.9764084,0.0064283083,0.0013599957,0.0035971613,0.011658349,0.00054781855],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026330396,0.0009345676,0.0012062795,0.0028807658,0.0012934721,0.003427999,0.0019775764,0.0016342377,0.6290736],"category_scores_gemma":[0.04302888,0.0007892061,0.001045362,0.0048478707,0.000577715,0.0028879107,0.0021389083,0.0017097929,0.4131343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060552797,0.000038481812,0.00039298792,0.0003670663,0.00002513843,0.00007190632,0.00006518927,0.00031740655,0.00013591911,0.0077739065,0.9579618,0.032789614],"study_design_scores_gemma":[0.000041974206,0.000027129858,0.0013684416,0.00021371442,0.000015760726,0.00009688105,0.00010652567,0.0003948734,0.00030354934,0.010581276,0.9868312,0.00001854204],"about_ca_topic_score_codex":0.010246803,"about_ca_topic_score_gemma":0.013879303,"teacher_disagreement_score":0.37092638,"about_ca_system_score_codex":0.0023417661,"about_ca_system_score_gemma":0.0027465012,"threshold_uncertainty_score":0.52908146},"labels":[],"label_agreement":null},{"id":"W7100674872","doi":"","title":"Estimating the gains from trade in limit-order markets, The Journal of Finance 61","year":2006,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Gains from trade; Stock market; Monopoly; Order (exchange); Stock (firearms); Stock exchange; Empirical evidence","score_opus":0.0274958680022318,"score_gpt":0.21223463486374156,"score_spread":0.18473876686150975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100674872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8054269,0.00055477064,0.188628,0.00034768015,0.000029525232,0.00013482186,0.0011751973,0.00019929066,0.0035037447],"genre_scores_gemma":[0.96441346,0.00017661302,0.03266001,0.000030747662,0.000035428235,0.00008921644,0.0011649363,0.00002072279,0.0014089684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853337,0.00053991104,0.00009579055,0.0002103528,0.00050760596,0.000112950685],"domain_scores_gemma":[0.97776866,0.016812388,0.002192489,0.001832546,0.001000147,0.00039371426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068976167,0.00051621126,0.00082094804,0.0030690068,0.00039784162,0.0021348451,0.0006840152,0.0008459755,0.0024866892],"category_scores_gemma":[0.03884064,0.0004683897,0.0006651563,0.0020809902,0.00096477964,0.0027775709,0.0010647054,0.0012446968,0.00031818362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010325351,0.000757174,0.4520416,0.00024379452,0.00068074244,0.00044240165,0.00069595064,0.28208292,0.0059934137,0.06230547,0.0038531558,0.1898709],"study_design_scores_gemma":[0.00008226356,0.000238179,0.12945187,0.00003049845,0.00005283886,0.00014315217,0.00019811843,0.790046,0.0026722522,0.07434085,0.002684075,0.000059885188],"about_ca_topic_score_codex":0.0056724222,"about_ca_topic_score_gemma":0.006106429,"teacher_disagreement_score":0.0068976167,"about_ca_system_score_codex":0.0010074937,"about_ca_system_score_gemma":0.0010220722,"threshold_uncertainty_score":0.03647852},"labels":[],"label_agreement":null},{"id":"W7100747747","doi":"","title":"Preliminary draft Not for attribution Comments welcome","year":2001,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Odds; Limit (mathematics); Quarter (Canadian coin); Order (exchange); Attribution","score_opus":0.06548906869113451,"score_gpt":0.24728239445596376,"score_spread":0.18179332576482926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100747747","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010746175,0.0013299101,0.0043693245,0.15521677,0.16515225,0.0017051316,0.028180135,0.0028674074,0.6401045],"genre_scores_gemma":[0.010114059,0.00074425404,0.0024924122,0.01754768,0.012284239,0.0012583038,0.0069447174,0.0027838764,0.9458305],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9940474,0.0012336922,0.00048789722,0.0009405568,0.0025596237,0.00073085545],"domain_scores_gemma":[0.94635373,0.0068355557,0.00096779,0.00558771,0.038033944,0.0022212116],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0068449704,0.00087906787,0.00093935034,0.0032681217,0.003442551,0.0075125997,0.0027398043,0.004045704,0.6803894],"category_scores_gemma":[0.08617735,0.0006573679,0.0010355298,0.0031720449,0.0012310358,0.005997521,0.0035908802,0.0071204472,0.43359998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017433314,0.0000063273883,0.00006427156,0.00004362789,0.0000027532787,0.00003576859,0.00012844148,0.000012918179,0.00005250041,0.0027650648,0.9900979,0.0067729913],"study_design_scores_gemma":[0.000008297107,0.000005021692,0.00030384032,0.000095885734,0.0000027234744,0.000019261,0.00029305185,0.000029543547,0.000051637755,0.00093132077,0.998251,0.000008301587],"about_ca_topic_score_codex":0.0135323405,"about_ca_topic_score_gemma":0.011086135,"teacher_disagreement_score":0.3196106,"about_ca_system_score_codex":0.0048389025,"about_ca_system_score_gemma":0.0056302007,"threshold_uncertainty_score":0.4558857},"labels":[],"label_agreement":null},{"id":"W7100829589","doi":"","title":"Université de Montréal and CREST","year":2006,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Skewness; Conditional probability distribution; Conditional variance; Volatility (finance); Stochastic volatility; Leverage (statistics); Conditional expectation","score_opus":0.008252112027130748,"score_gpt":0.1424520349746284,"score_spread":0.13419992294749766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100829589","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051784017,0.009362867,0.0035649142,0.01400262,0.0025713665,0.00017323733,0.0112522645,0.0013237201,0.9525707],"genre_scores_gemma":[0.019917687,0.0031562578,0.0020999361,0.00088997395,0.00025478468,0.00005584017,0.0031385727,0.0002776862,0.9702093],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982152,0.00013642185,0.000056102763,0.0005476714,0.0006726347,0.00037194873],"domain_scores_gemma":[0.9976521,0.00023862686,0.00010468951,0.00022700292,0.00093685207,0.00084083696],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00085176114,0.001438636,0.0011244076,0.0016561507,0.002724393,0.005069867,0.0022339202,0.0018591674,0.6030454],"category_scores_gemma":[0.0034362304,0.0004151454,0.0007298681,0.0020738808,0.0011447415,0.0017707514,0.0023548366,0.0012953188,0.2315093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027060066,0.00017484176,0.0047870907,0.0005777848,0.000052230647,0.0015569995,0.000687292,0.0008247988,0.002051968,0.0636653,0.6226963,0.30265483],"study_design_scores_gemma":[0.000018285184,0.00002609752,0.0024169083,0.00011159301,0.000008975634,0.00022532564,0.00015517331,0.00026089768,0.00032552393,0.0021800594,0.9942532,0.00001800738],"about_ca_topic_score_codex":0.21785836,"about_ca_topic_score_gemma":0.29894635,"teacher_disagreement_score":0.3969546,"about_ca_system_score_codex":0.008179743,"about_ca_system_score_gemma":0.011134901,"threshold_uncertainty_score":0.5662075},"labels":[],"label_agreement":null},{"id":"W7100956272","doi":"","title":"\\tLimit orders and volatility in a hybrid market: The Island ECN","year":2001,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Limit (mathematics); Odds; Quarter (Canadian coin); Order (exchange); Econophysics; Order book","score_opus":0.02129827184742628,"score_gpt":0.19379226625571477,"score_spread":0.1724939944082885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100956272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99933785,0.000019635385,0.00008622703,0.000020841007,9.5235765e-7,0.0000029652742,0.000050554117,0.0000028400902,0.0004781935],"genre_scores_gemma":[0.9995189,0.000015284179,0.00008193403,0.0000073338206,0.0000040220757,0.000002447043,0.00016131406,0.0000022062097,0.00020666649],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996076,0.00012267752,0.000023991859,0.000072802024,0.000108418026,0.0000644893],"domain_scores_gemma":[0.9949999,0.002424422,0.0014936673,0.0003228654,0.00025857426,0.00050053844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009487818,0.00019565174,0.00037998526,0.0010807017,0.00038892493,0.0020258115,0.00057382905,0.0005637414,0.0020296683],"category_scores_gemma":[0.0044573676,0.00018476995,0.00026590354,0.0011871166,0.0009936417,0.0019777045,0.000971871,0.0007898212,0.000282692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010388847,0.00059603195,0.9714537,0.000029902918,0.00023024883,0.00077039964,0.00087488204,0.01111414,0.002205477,0.002680983,0.00069556874,0.008309719],"study_design_scores_gemma":[0.000057909514,0.00032909223,0.90552014,0.000010985968,0.000056275225,0.0005962615,0.0014035814,0.0883063,0.0009565798,0.0017270586,0.0009864444,0.000049433955],"about_ca_topic_score_codex":0.010789136,"about_ca_topic_score_gemma":0.012819131,"teacher_disagreement_score":0.010789136,"about_ca_system_score_codex":0.00070610916,"about_ca_system_score_gemma":0.00022894633,"threshold_uncertainty_score":0.021452665},"labels":[],"label_agreement":null},{"id":"W7101118350","doi":"","title":"Comments Welcome","year":2009,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Stock (firearms); Growth stock; Stock market; Value (mathematics); Business valuation; Market value; Price discovery","score_opus":0.036327491750590704,"score_gpt":0.21912100106729335,"score_spread":0.18279350931670263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101118350","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010519513,0.0023045174,0.0021010744,0.46517527,0.25884894,0.0005701623,0.0065570916,0.0026374022,0.26075366],"genre_scores_gemma":[0.006495762,0.0010474768,0.0013273087,0.13424343,0.026355311,0.00031430373,0.002135451,0.0012618287,0.8268192],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955166,0.00080581673,0.00025103992,0.00061837345,0.0022589455,0.00054928457],"domain_scores_gemma":[0.962906,0.0047424887,0.00091688544,0.0016669554,0.024816817,0.004950799],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0043775146,0.00089398085,0.00095752144,0.0014282035,0.0033192541,0.004487588,0.0026372368,0.006079864,0.5007233],"category_scores_gemma":[0.051603936,0.00038437961,0.00083560887,0.0011788899,0.0011521473,0.0034717626,0.0032076994,0.0074714734,0.2951489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014225581,0.0000044525377,0.000058059166,0.000023438792,8.5831573e-7,0.000048279486,0.000047046407,0.000010910169,0.00004340811,0.00058753387,0.9937203,0.0054415083],"study_design_scores_gemma":[0.0000044018293,0.000003823752,0.00014230768,0.00003257003,0.0000010371533,0.0000326263,0.00014548484,0.00001986363,0.000033626387,0.00022378852,0.99935466,0.000005735136],"about_ca_topic_score_codex":0.018742917,"about_ca_topic_score_gemma":0.032198343,"teacher_disagreement_score":0.4992767,"about_ca_system_score_codex":0.0044008084,"about_ca_system_score_gemma":0.006419505,"threshold_uncertainty_score":0.7121576},"labels":[],"label_agreement":null},{"id":"W7101863328","doi":"10.5281/zenodo.17462761","title":"Comparing the Returns of Holding Stocks in the Dow Jones Index Constant vs. Investing in the Actively Updated Dow Index","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Toronto","funders":"","keywords":"Sharpe ratio; Portfolio; Index (typography); Downside risk; Constant (computer programming); Recession; Index fund","score_opus":0.06432993526123572,"score_gpt":0.2415494608350241,"score_spread":0.1772195255737884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101863328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987386,0.000113611575,0.00016459629,0.000030143545,0.000006088998,0.0000029903017,0.0001492583,0.000005936736,0.00078887714],"genre_scores_gemma":[0.99886984,0.000065101776,0.0001009592,0.00000963789,0.000008699456,0.0000013251575,0.0004301917,0.0000020234738,0.0005121975],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996247,0.000044688073,0.00003913496,0.00007888512,0.00014719983,0.00006537723],"domain_scores_gemma":[0.9970186,0.0008147315,0.0012551335,0.0002375277,0.00037641957,0.00029765358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001652458,0.0002443113,0.00024630985,0.0008371211,0.00009179637,0.0010860752,0.0002454006,0.0003232244,0.0011717248],"category_scores_gemma":[0.005512948,0.0000743643,0.0002977378,0.000789852,0.00017576687,0.0008277265,0.0004360766,0.00037614646,0.0003903448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012341843,0.00022257697,0.95581675,0.00003787973,0.0002164154,0.00013596025,0.00006231087,0.0038053587,0.004204199,0.00073407614,0.0005101384,0.033020172],"study_design_scores_gemma":[0.000026667294,0.0012961806,0.98395336,0.000011252127,0.00011950586,0.00017385579,0.00017167961,0.0071400036,0.005370043,0.00036106957,0.0013582523,0.000018070497],"about_ca_topic_score_codex":0.002434097,"about_ca_topic_score_gemma":0.0024487786,"teacher_disagreement_score":0.002434097,"about_ca_system_score_codex":0.00051111635,"about_ca_system_score_gemma":0.00026979024,"threshold_uncertainty_score":0.008739173},"labels":[],"label_agreement":null},{"id":"W7104269233","doi":"10.23977/acss.2025.090316","title":"Study on the Nonlinear Causal Impact of Investor Sentiment on Futures Pricing Efficiency: Based on Generalized Random Forest and Dual Machine Learning Methods","year":2025,"lang":"","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Futures contract; Dual (grammatical number); Empirical evidence; Inference; Empirical research; Index (typography); Random forest","score_opus":0.03186792894287196,"score_gpt":0.311659912239812,"score_spread":0.27979198329694005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104269233","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23795314,0.0017404818,0.7575838,0.00074009073,0.0000687621,0.000073766394,0.00017549825,0.00013680951,0.0015277006],"genre_scores_gemma":[0.91784924,0.0008782638,0.07976336,0.00013817892,0.00013970457,0.000055599896,0.00039856313,0.000033416633,0.0007436967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983082,0.0010342395,0.00006813696,0.00025266936,0.00021032823,0.00012642515],"domain_scores_gemma":[0.9836189,0.013572314,0.0009220687,0.0006559575,0.0010439652,0.00018681261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060594114,0.0006189257,0.0009918975,0.0013163948,0.00037010052,0.0009852838,0.0007750612,0.0007533736,0.0009214753],"category_scores_gemma":[0.022976128,0.000308719,0.0012320916,0.001193899,0.00064852904,0.0016383803,0.00066249183,0.0011016714,0.00012613699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047345282,0.0003781018,0.110715866,0.00036535252,0.00081245595,0.00053134456,0.0003634564,0.56297135,0.003866943,0.08880857,0.002269695,0.22844337],"study_design_scores_gemma":[0.0000108278555,0.00003042745,0.003360381,0.000011327276,0.00004395444,0.000036270176,0.000015106744,0.9844432,0.00022504508,0.011551134,0.0002624265,0.000009754373],"about_ca_topic_score_codex":0.004504767,"about_ca_topic_score_gemma":0.0031805267,"teacher_disagreement_score":0.0060594114,"about_ca_system_score_codex":0.000588916,"about_ca_system_score_gemma":0.0010241853,"threshold_uncertainty_score":0.032045603},"labels":[],"label_agreement":null},{"id":"W7104587789","doi":"10.2139/ssrn.5703304","title":"Passive Flows, Index Rebalancing, and Price Impact: Evidence from a Quasi-Experiment in Hong Kong","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Stock (firearms); Price index; Stock market index; Quarter (Canadian coin); Price elasticity of demand; Elasticity (physics); Income elasticity of demand","score_opus":0.016702002361200917,"score_gpt":0.25352664499221395,"score_spread":0.23682464263101302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104587789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99913967,0.000035716344,0.00019438012,0.00003916057,0.000014081091,0.00011158288,0.000092570765,0.000005621931,0.000367199],"genre_scores_gemma":[0.9957053,0.00006237486,0.00045245167,0.00010037174,0.00001644096,0.00035761626,0.00017864212,0.000008415339,0.0031183441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971173,0.0015216528,0.00017401727,0.00055420626,0.00021289467,0.00041993812],"domain_scores_gemma":[0.9827979,0.008537823,0.0030580445,0.0031333654,0.0006538518,0.0018189399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075054537,0.00065746944,0.0012955213,0.0002470526,0.001290906,0.0020693236,0.0009992474,0.0011174254,0.0066820625],"category_scores_gemma":[0.0099621015,0.00082505867,0.0007527665,0.00040631485,0.0026711163,0.0012033937,0.00076414045,0.0013351884,0.000854703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.25666273,0.16961978,0.4308863,0.0012232333,0.0033476662,0.001304244,0.014041312,0.0051119453,0.042683385,0.00641745,0.0043878425,0.06431418],"study_design_scores_gemma":[0.017680151,0.121196,0.83255154,0.00010033086,0.0016069465,0.0001314778,0.0041263187,0.008551232,0.0077320975,0.0026540651,0.0033974184,0.0002722504],"about_ca_topic_score_codex":0.053064723,"about_ca_topic_score_gemma":0.031034201,"teacher_disagreement_score":0.053064723,"about_ca_system_score_codex":0.0020359252,"about_ca_system_score_gemma":0.003933858,"threshold_uncertainty_score":0.105511725},"labels":[],"label_agreement":null},{"id":"W7105849877","doi":"10.33423/jabe.v27i6.7944","title":"Exploring the Disposition Effect in Trading: A Qualitative Analysis of Emotional Influences","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disposition; Thematic analysis; Disposition effect; Incentive; Qualitative analysis; Qualitative research; Portfolio; Realization (probability); Inequity aversion","score_opus":0.05321413102423426,"score_gpt":0.26033834439381276,"score_spread":0.2071242133695785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105849877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9672734,0.00038647818,0.01534295,0.002664996,0.00008636786,0.00032301934,0.00027002816,0.000034113164,0.013618707],"genre_scores_gemma":[0.9946843,0.00023703148,0.0027220408,0.00036762288,0.000014780796,0.00028743816,0.000063822874,0.00002688798,0.0015961761],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9879929,0.009691901,0.00022244766,0.00046642884,0.0008967727,0.00072956353],"domain_scores_gemma":[0.97875804,0.018306365,0.00083953614,0.0004326995,0.0010519192,0.00061150553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012317541,0.00046141184,0.00067952194,0.0015918822,0.0047000786,0.004287945,0.0010407993,0.001201088,0.0022946093],"category_scores_gemma":[0.01902434,0.00038613,0.00039950377,0.0012350602,0.009665774,0.0032720275,0.0046119425,0.0020088875,0.00021370877],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006457234,0.000044326458,0.005312078,0.00020524045,0.00000758884,0.0008832001,0.9765276,0.00016224603,0.0016837228,0.007626535,0.00054830353,0.006934685],"study_design_scores_gemma":[0.000008573059,0.000046743055,0.0032825165,0.00017549128,0.0000071169743,0.000332419,0.9812827,0.0004648879,0.00079107773,0.003043904,0.010539177,0.00002536988],"about_ca_topic_score_codex":0.0025755211,"about_ca_topic_score_gemma":0.00324112,"teacher_disagreement_score":0.012317541,"about_ca_system_score_codex":0.0032902465,"about_ca_system_score_gemma":0.0022050196,"threshold_uncertainty_score":0.065142155},"labels":[],"label_agreement":null},{"id":"W7105905608","doi":"10.2139/ssrn.5741304","title":"In the Money? Low-Leverage Option Betting","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Equity (law); Liberian dollar; Cash flow; Cash; Investment (military)","score_opus":0.01632485747427575,"score_gpt":0.2262880210590332,"score_spread":0.20996316358475745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105905608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7869692,0.005151849,0.077416115,0.041776344,0.00081292255,0.000026310105,0.00032970146,0.0002819102,0.08723571],"genre_scores_gemma":[0.99049044,0.0004290267,0.0012704352,0.0003664746,0.00052611233,0.000006623845,0.000037183858,0.000023477121,0.0068502785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954396,0.00017148656,0.000024588728,0.00007727884,0.00007743059,0.0001052343],"domain_scores_gemma":[0.99411136,0.0034220677,0.0011481211,0.00038988004,0.00029068714,0.0006379165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001683873,0.00044488412,0.0010135218,0.0006054542,0.0007376275,0.003979672,0.0010344549,0.0032862364,0.020274628],"category_scores_gemma":[0.018683765,0.0003657181,0.00026360402,0.0006056386,0.0016621224,0.0069469227,0.0010825761,0.0029655853,0.0012043569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004008386,0.00022621996,0.011813755,0.00011270248,0.000058409034,0.0009851789,0.00036146468,0.008057942,0.002579595,0.91876566,0.011595287,0.045043092],"study_design_scores_gemma":[0.000041776217,0.000026945296,0.0027682544,0.000025543526,0.000014391053,0.00026212406,0.00013561582,0.047937833,0.00043192843,0.9466528,0.0016813211,0.000021342516],"about_ca_topic_score_codex":0.00073552487,"about_ca_topic_score_gemma":0.0007238846,"teacher_disagreement_score":0.020274628,"about_ca_system_score_codex":0.00040829077,"about_ca_system_score_gemma":0.00027196578,"threshold_uncertainty_score":0.06782544},"labels":[],"label_agreement":null},{"id":"W7105987881","doi":"10.2139/ssrn.5767162","title":"International Investing: Diversification and Beyond&amp;nbsp;","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Diversification (marketing strategy); Sharpe ratio; Equity (law); Exploit; International investment; Portfolio; Investment strategy; Investment (military)","score_opus":0.02895515222884371,"score_gpt":0.23630492855066246,"score_spread":0.20734977632181875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105987881","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08632583,0.12637325,0.03869526,0.10142165,0.0034977454,0.000081039674,0.0153050395,0.0011936631,0.62710655],"genre_scores_gemma":[0.7264251,0.045332134,0.011179802,0.0017738937,0.002763005,0.0000827305,0.005560968,0.00041711435,0.20646524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99982065,0.00003945279,0.000013417555,0.00004861902,0.00005608987,0.000021673028],"domain_scores_gemma":[0.99912935,0.00027183193,0.0002055532,0.0000779203,0.00016710481,0.00014820175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068401423,0.0006331218,0.0006692905,0.0013728223,0.0003968878,0.004243662,0.0003725022,0.0015189202,0.03848623],"category_scores_gemma":[0.0027017505,0.0002300847,0.00021649164,0.004109832,0.00071896205,0.004995511,0.00076656195,0.001160466,0.0035763562],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012730414,0.000049807586,0.0060071913,0.00031336397,0.0000434058,0.00011562114,0.00017940137,0.0026744853,0.0003586844,0.39676347,0.29335365,0.30001366],"study_design_scores_gemma":[0.000056310393,0.00003724869,0.014577633,0.00053219404,0.00005367168,0.00028007317,0.00029323495,0.009535678,0.0007842548,0.61345345,0.36036474,0.0000315125],"about_ca_topic_score_codex":0.0073652193,"about_ca_topic_score_gemma":0.006745319,"teacher_disagreement_score":0.03848623,"about_ca_system_score_codex":0.0016172087,"about_ca_system_score_gemma":0.0009804,"threshold_uncertainty_score":0.12874931},"labels":[],"label_agreement":null},{"id":"W7106685703","doi":"10.34989/swp-2025-34","title":"Transaction Costs, the Value of Convenience, and the Cross-Section of Safe Asset Returns","year":2025,"lang":"","type":"article","venue":"Bank of Canada Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Asset (computer security); Treasury; Liquidity risk; Capital asset pricing model; Database transaction; Consumption-based capital asset pricing model; General equilibrium theory; Welfare","score_opus":0.031206902643002573,"score_gpt":0.28798528070448454,"score_spread":0.25677837806148196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106685703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83351743,0.0018949881,0.14367332,0.0012764848,0.000031284362,0.00007060529,0.0002579378,0.000096559765,0.019181404],"genre_scores_gemma":[0.99302155,0.0006119143,0.0026317264,0.00005607864,0.00003850525,0.00002906806,0.00009327629,0.000022390388,0.0034954303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999243,0.00022459992,0.000039626393,0.00014830756,0.00014372954,0.00020066414],"domain_scores_gemma":[0.986987,0.0077538667,0.0032594136,0.0006781488,0.0005973868,0.0007242463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025851426,0.00060523406,0.00095617224,0.0012787471,0.00071073644,0.0031994283,0.0012771831,0.0017232284,0.00796491],"category_scores_gemma":[0.013969839,0.00059241545,0.000875846,0.0012812628,0.0019280748,0.0077596,0.0014893479,0.001959025,0.00046959898],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017613746,0.00020293456,0.04022865,0.000104287574,0.00025048215,0.00094124494,0.0003953452,0.22335981,0.003315588,0.71262974,0.0009985751,0.017397286],"study_design_scores_gemma":[0.00004387682,0.00024350884,0.028681919,0.00005900658,0.00014934439,0.00086572417,0.0005721582,0.4376621,0.0022377113,0.527058,0.002305833,0.00012081781],"about_ca_topic_score_codex":0.0031370716,"about_ca_topic_score_gemma":0.0022965206,"teacher_disagreement_score":0.00796491,"about_ca_system_score_codex":0.002195256,"about_ca_system_score_gemma":0.0007060095,"threshold_uncertainty_score":0.026645303},"labels":[],"label_agreement":null},{"id":"W7108079954","doi":"10.2139/ssrn.5811242","title":"Whose Attention Matters? Evidence from the Return Predictability Between Economically Linked Firms","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Ontario Institute of Technology","funders":"","keywords":"Predictability; Institutional investor; Equity (law); Context (archaeology); Capitalization; Asset (computer security); Efficient-market hypothesis; Financial market participants","score_opus":0.032441835881354755,"score_gpt":0.24088832542011146,"score_spread":0.20844648953875672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108079954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937111,0.00061365427,0.00039661516,0.0015590835,0.000022907088,0.000006078254,0.0002452207,0.000012151008,0.0034333707],"genre_scores_gemma":[0.99869955,0.00021140509,0.00005050545,0.00015089677,0.00005999192,0.0000035210214,0.00026511308,0.0000064881606,0.00055249094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863523,0.0003945834,0.000120519275,0.00031764654,0.00025432985,0.0002777404],"domain_scores_gemma":[0.8812089,0.07547952,0.030679122,0.0055533373,0.002935972,0.004143165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033154073,0.00029134867,0.0008213088,0.0014402213,0.00079171633,0.0030884792,0.0011287717,0.0023407259,0.008968803],"category_scores_gemma":[0.04868829,0.00043820826,0.00047771083,0.0024722433,0.0012978103,0.0029571129,0.0021791665,0.0020241358,0.0014653327],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012561064,0.0005697149,0.9589281,0.000070005684,0.00046711267,0.0005351568,0.0014163834,0.0018064487,0.0009208768,0.0054955115,0.002223407,0.026311304],"study_design_scores_gemma":[0.000096274875,0.00014423697,0.9809121,0.000023776767,0.00020451486,0.00011569237,0.0010395239,0.0024804154,0.00039627985,0.013443769,0.001117596,0.000025792508],"about_ca_topic_score_codex":0.008379685,"about_ca_topic_score_gemma":0.005435345,"teacher_disagreement_score":0.008968803,"about_ca_system_score_codex":0.00058597035,"about_ca_system_score_gemma":0.00045526205,"threshold_uncertainty_score":0.030003607},"labels":[],"label_agreement":null},{"id":"W7108097164","doi":"","title":"A Comparative Study of Behavioral Finance and Behavioral Economics in Iran and the World","year":2019,"lang":"fa","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Behavioral economics; Behavioural sciences; Asset (computer security); Variety (cybernetics); Behavioral operations research; Public finance; Investment (military); Field (mathematics)","score_opus":0.3267784984397956,"score_gpt":0.5001143303670739,"score_spread":0.17333583192727825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108097164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98276246,0.0061036926,0.00023826947,0.0013657191,0.000088905654,0.000022414672,0.00033601635,0.000003408794,0.009079111],"genre_scores_gemma":[0.99637043,0.0025083346,0.00018930194,0.0002201506,0.0000922773,0.000013927898,0.00023619703,0.000002543954,0.00036689526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989943,0.00028277969,0.00009835005,0.00009255164,0.00037582676,0.00015612454],"domain_scores_gemma":[0.9948985,0.0018959973,0.0019481382,0.00012586029,0.00067926385,0.00045228386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020372837,0.00019182579,0.0003520776,0.004726994,0.0005101689,0.0017080544,0.00024950382,0.00035222413,0.0028652588],"category_scores_gemma":[0.0067204423,0.000094986426,0.0004606452,0.006315421,0.0007588324,0.0016748935,0.00060822145,0.0004568913,0.00014744131],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076321645,0.00018878172,0.9453218,0.0003596469,0.00019066395,0.00022199017,0.004847289,0.00008949536,0.00010751412,0.0037686396,0.0012414014,0.043586507],"study_design_scores_gemma":[0.000007040663,0.00008242953,0.9858226,0.000154649,0.00006229493,0.00024248974,0.009234258,0.00013559857,0.000042633405,0.00068009226,0.003525992,0.000009740078],"about_ca_topic_score_codex":0.0072494918,"about_ca_topic_score_gemma":0.008342135,"teacher_disagreement_score":0.0072494918,"about_ca_system_score_codex":0.0010406148,"about_ca_system_score_gemma":0.0019644026,"threshold_uncertainty_score":0.0144146085},"labels":[],"label_agreement":null},{"id":"W7110815594","doi":"10.15353/rea.v17i3.6095","title":"Generalized Disappointment Aversion, Rare Disasters, and the Term Structure of Real Interest Rates","year":2025,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disappointment; Equity (law); Interest rate; Volatility (finance); Bond; Yield curve; Endowment; Yield (engineering); Intergenerational equity","score_opus":0.017776735558154975,"score_gpt":0.2515903623241282,"score_spread":0.2338136267659732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110815594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7619909,0.0038256666,0.20899706,0.0032855729,0.00011758746,0.000047160276,0.00018392134,0.00009198606,0.021460162],"genre_scores_gemma":[0.99133235,0.0014763722,0.0034602475,0.00008708179,0.00006588981,0.000017736964,0.00003017185,0.000006420374,0.0035236257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99971133,0.00015304779,0.000011613757,0.000045691475,0.000028663026,0.000049662613],"domain_scores_gemma":[0.99822277,0.00080529705,0.0006406709,0.00009582031,0.00008159105,0.00015380654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009150482,0.00051633944,0.00048768087,0.0002894458,0.00028522764,0.0014636425,0.00077001425,0.00123979,0.0012853642],"category_scores_gemma":[0.0034767105,0.00034666565,0.0005820864,0.00036621199,0.0011339033,0.0016588428,0.0006284805,0.0013226672,0.00017749397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017687815,0.00015034262,0.011687478,0.00012941867,0.00017055574,0.00079267164,0.0004123096,0.5469584,0.0025555918,0.4206538,0.0014472974,0.014865266],"study_design_scores_gemma":[0.00006132733,0.0001692272,0.0061693965,0.000035802153,0.00007288957,0.0003386176,0.00019136183,0.71507865,0.0002888243,0.27528006,0.0022581106,0.000055670618],"about_ca_topic_score_codex":0.0026227767,"about_ca_topic_score_gemma":0.0016734122,"teacher_disagreement_score":0.0026227767,"about_ca_system_score_codex":0.0006556579,"about_ca_system_score_gemma":0.0004384042,"threshold_uncertainty_score":0.005215049},"labels":[],"label_agreement":null},{"id":"W7112426470","doi":"","title":"Home Biasness &amp; Internationell Diversifiering : Börjar Fördelarna med Internationell Diversifiering Sina?","year":2016,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); International investment; Capital market; Quarter (Canadian coin); Agency (philosophy); Financial market; Home market; International market","score_opus":0.04527877089413285,"score_gpt":0.23292654430152218,"score_spread":0.18764777340738933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112426470","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4017441,0.042268448,0.0026994136,0.027461253,0.0037336322,0.00013786572,0.016364895,0.00094317854,0.5046472],"genre_scores_gemma":[0.6647363,0.024564544,0.0045685642,0.0021277582,0.0013914478,0.00007267861,0.010200619,0.00058144465,0.29175675],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865746,0.00018807525,0.00014035765,0.0001785364,0.00056728226,0.00026824605],"domain_scores_gemma":[0.9967133,0.000770155,0.0011035118,0.00020486009,0.0006001091,0.00060812995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019359492,0.00033343068,0.0004047073,0.0018962519,0.00074409635,0.0043411925,0.0004167906,0.00075078494,0.054968193],"category_scores_gemma":[0.0058660368,0.00017380182,0.0002513569,0.002286885,0.00049580313,0.001482911,0.001347662,0.00063662947,0.020850249],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053268904,0.0001473302,0.09462997,0.0007013246,0.000054527616,0.0011010696,0.0032675473,0.000529511,0.0014768954,0.013427561,0.26911443,0.6150171],"study_design_scores_gemma":[0.00003779487,0.00017651326,0.10242641,0.0010427068,0.000044060274,0.0023458418,0.0055051614,0.00033234188,0.0023351081,0.003263214,0.88243055,0.000060415787],"about_ca_topic_score_codex":0.0052214726,"about_ca_topic_score_gemma":0.0061695823,"teacher_disagreement_score":0.054968193,"about_ca_system_score_codex":0.0012163185,"about_ca_system_score_gemma":0.0018897678,"threshold_uncertainty_score":0.18388695},"labels":[],"label_agreement":null},{"id":"W7113294114","doi":"","title":"Stock Market Anomalies : A Literature Review and Estimation of Calendar affects on the S&amp;P 500 index","year":2006,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Stock (firearms); Names of the days of the week; Index (typography); Stock market index; Stock market; Estimation","score_opus":0.019459951495125083,"score_gpt":0.23136997064544934,"score_spread":0.21191001915032426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113294114","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023212854,0.9682882,0.0015935902,0.001346109,0.0003526313,0.00003472773,0.001536561,0.0000507119,0.003584667],"genre_scores_gemma":[0.078542486,0.9165112,0.0012602531,0.00035441478,0.0010970063,0.000041978583,0.001461959,0.000021988923,0.00070873124],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984628,0.00034563598,0.00032296457,0.0002679647,0.0005476806,0.00005312346],"domain_scores_gemma":[0.968026,0.023764202,0.0043530515,0.00050145166,0.003177425,0.00017785915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037241015,0.00063635036,0.0010989693,0.008690348,0.00023487367,0.0018332737,0.00078427914,0.00064938125,0.0026090082],"category_scores_gemma":[0.017954031,0.0004130089,0.0013728086,0.015916614,0.000433752,0.0016879805,0.0005076259,0.00066172297,0.00068297394],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027906263,0.000093294555,0.0904324,0.025308713,0.001130255,0.00023992413,0.00034270927,0.0018557032,0.00039174306,0.0025108273,0.015043961,0.86237144],"study_design_scores_gemma":[0.00007243549,0.00053145253,0.6625367,0.0475659,0.0058148718,0.0010798695,0.0016199918,0.0056078,0.0016267698,0.0048975977,0.26849103,0.00015568089],"about_ca_topic_score_codex":0.0059748106,"about_ca_topic_score_gemma":0.006825109,"teacher_disagreement_score":0.008690348,"about_ca_system_score_codex":0.00077184546,"about_ca_system_score_gemma":0.0015107393,"threshold_uncertainty_score":0.019695163},"labels":[],"label_agreement":null},{"id":"W7114770765","doi":"10.54946/wilm.12208","title":"Trade Agreements and the Stock Market: The Case of the USMCA","year":2025,"lang":"","type":"article","venue":"Wilmott","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spillover effect; Volatility (finance); Stock (firearms); Stock market; Event study","score_opus":0.0169588862502987,"score_gpt":0.21346173842578997,"score_spread":0.19650285217549127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7114770765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9374464,0.0031390965,0.00053665467,0.0048672026,0.000033370412,0.000018950834,0.000101565114,0.000010105049,0.05384667],"genre_scores_gemma":[0.99798137,0.00070544693,0.00011722121,0.00011157657,0.000021766284,0.000004738426,0.00002035857,0.0000011219726,0.0010364153],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996184,0.00011176385,0.000011805713,0.000027793385,0.00007791794,0.00015228118],"domain_scores_gemma":[0.99801123,0.0009197958,0.0005638018,0.000072151066,0.00025575847,0.00017722242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010418583,0.00015484603,0.000338271,0.00094612647,0.0019239088,0.0034309065,0.00029914483,0.0013667003,0.0027380511],"category_scores_gemma":[0.003543766,0.00010302929,0.00029200132,0.0018150831,0.0014059512,0.0016795908,0.001110333,0.0012555688,0.00009875406],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055324927,0.00038271674,0.21130946,0.00011685588,0.00019901698,0.005320683,0.004069003,0.01681099,0.0015037417,0.7182256,0.006508648,0.03499996],"study_design_scores_gemma":[0.0005027476,0.00044907696,0.52375823,0.0005778996,0.00049331377,0.0017338078,0.03253876,0.09242881,0.003579488,0.24437755,0.09930921,0.00025107947],"about_ca_topic_score_codex":0.19496584,"about_ca_topic_score_gemma":0.17978883,"teacher_disagreement_score":0.80503416,"about_ca_system_score_codex":0.0046113646,"about_ca_system_score_gemma":0.002268673,"threshold_uncertainty_score":0.38766205},"labels":[],"label_agreement":null},{"id":"W7115808246","doi":"","title":"Distinguishing Factors and Characteristics with Characteristic-Mimicking Portfolios","year":2017,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Portfolio; Capital asset pricing model; Risk premium; Asset (computer security); Stock (firearms); Asset allocation; Modern portfolio theory; Diversification (marketing strategy); Investment theory","score_opus":0.021927138472361444,"score_gpt":0.1925190619811127,"score_spread":0.17059192350875127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115808246","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39451802,0.0005050138,0.5707686,0.0009205036,0.0000627153,0.00014982648,0.00017067158,0.00016994168,0.03273468],"genre_scores_gemma":[0.9188974,0.0004901881,0.073821425,0.00014744612,0.000095968084,0.00007515973,0.00012266746,0.00003251223,0.006317229],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990741,0.00023708292,0.000068616966,0.00028331735,0.00022874876,0.000108102424],"domain_scores_gemma":[0.99334925,0.0032540439,0.0015732376,0.0012660708,0.00031562065,0.00024177329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021668896,0.0005044903,0.00053373177,0.00086084654,0.00046701852,0.0022057563,0.00063977623,0.0012177356,0.003967279],"category_scores_gemma":[0.019841157,0.0004003215,0.00082360936,0.00096079125,0.0015275541,0.00426851,0.0012780038,0.0012976236,0.00044609673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000843177,0.00007393899,0.029741678,0.00006244269,0.000063699896,0.00037702447,0.0005030439,0.015631888,0.002079231,0.88691443,0.0007854538,0.063682936],"study_design_scores_gemma":[0.000029861909,0.0001250872,0.014693733,0.000041594318,0.000064758984,0.00064891635,0.00018798775,0.07792893,0.0016933096,0.89631593,0.008216949,0.000052991578],"about_ca_topic_score_codex":0.00043579293,"about_ca_topic_score_gemma":0.0003598663,"teacher_disagreement_score":0.003967279,"about_ca_system_score_codex":0.00070062,"about_ca_system_score_gemma":0.0006293353,"threshold_uncertainty_score":0.013271868},"labels":[],"label_agreement":null},{"id":"W7115899165","doi":"10.1016/j.jfineco.2025.104221","title":"Prospect theory in the field: Revealed preferences from mutual fund flows","year":2025,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Southwestern University of Finance and Economics; Shanghai University of Finance and Economics; Renmin University of China; National Natural Science Foundation of China; Rotman School of Management, University of Toronto; Singapore Management University; University of International Business and Economics","keywords":"Prospect theory; Explanatory power; Preference; Mutual fund; Set (abstract data type); Value (mathematics); Expected utility hypothesis; Loss aversion","score_opus":0.02641908267638188,"score_gpt":0.23493940812283567,"score_spread":0.2085203254464538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115899165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87917143,0.00070945016,0.09880112,0.0019576373,0.00006209941,0.00017154014,0.00022818976,0.00005780589,0.018840723],"genre_scores_gemma":[0.9938168,0.00020915942,0.0052884067,0.000062438434,0.000033806555,0.000066869026,0.00004746262,0.0000055689366,0.00046954444],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99532735,0.0037333383,0.000101201804,0.00023434321,0.0004514844,0.00015231896],"domain_scores_gemma":[0.91970557,0.06812343,0.0062543484,0.003098004,0.001296412,0.0015221195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013691976,0.0006242212,0.0008571449,0.0016059483,0.00067518174,0.0047074696,0.0007951823,0.001385367,0.0047659404],"category_scores_gemma":[0.076330595,0.00031066648,0.0007257848,0.0012989041,0.0027779844,0.0074550454,0.0025549352,0.0025840253,0.00024776428],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001432857,0.00072777487,0.039082386,0.00040073472,0.0002374236,0.00031883974,0.0023321821,0.11172314,0.0016250943,0.7835915,0.0015439087,0.056984186],"study_design_scores_gemma":[0.00015955223,0.00041865406,0.017040107,0.000111085414,0.000075693875,0.000119706136,0.0006698442,0.2215544,0.0007144916,0.7573628,0.0016740359,0.000099556666],"about_ca_topic_score_codex":0.0008536616,"about_ca_topic_score_gemma":0.00044747003,"teacher_disagreement_score":0.013691976,"about_ca_system_score_codex":0.0014347866,"about_ca_system_score_gemma":0.0006733955,"threshold_uncertainty_score":0.07241094},"labels":[],"label_agreement":null},{"id":"W7116112968","doi":"10.3390/jrfm19010003","title":"A Brain-Based Foundation for Momentum","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Momentum (technical analysis); Phenomenon; Empirical research; Frontier; Foundation (evidence)","score_opus":0.013078499172392693,"score_gpt":0.21912763929983153,"score_spread":0.20604914012743883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116112968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5177963,0.0068882406,0.2243279,0.03513936,0.0012975933,0.00009277268,0.00092014123,0.00073329976,0.21280438],"genre_scores_gemma":[0.9892083,0.0009575621,0.0068508782,0.0004252683,0.0002609902,0.000017304039,0.00008003246,0.000023185636,0.0021764645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997694,0.000040204086,0.0000105777835,0.00006534348,0.0000643189,0.00005016317],"domain_scores_gemma":[0.9987925,0.00057248055,0.00022205865,0.00013485207,0.00014836402,0.0001297305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060376315,0.00025465147,0.000332905,0.00071287894,0.00042572527,0.0030817548,0.00040858943,0.0010127265,0.007019565],"category_scores_gemma":[0.0045129666,0.00020698771,0.0003820085,0.0004250043,0.0023841553,0.0036576495,0.0010382863,0.0014945711,0.00069734163],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025138928,0.00009618477,0.014073809,0.00021637446,0.00010398586,0.00052796997,0.0007150795,0.008385418,0.010232062,0.87228,0.0042388616,0.08887888],"study_design_scores_gemma":[0.000029922761,0.000082140636,0.022200635,0.00007952593,0.000020983238,0.00025688185,0.00022631726,0.016443057,0.0010074044,0.9537528,0.005867889,0.000032498516],"about_ca_topic_score_codex":0.0006813503,"about_ca_topic_score_gemma":0.0003608299,"teacher_disagreement_score":0.007019565,"about_ca_system_score_codex":0.00055936613,"about_ca_system_score_gemma":0.00064152153,"threshold_uncertainty_score":0.02348286},"labels":[],"label_agreement":null},{"id":"W7116409170","doi":"10.34989/swp-2025-38","title":"Portfolio Rebalancing Channel and the Effects of Large-Scale Stock and Bond Purchases","year":2025,"lang":"","type":"article","venue":"Bank of Canada Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Bond; Portfolio; Stock (firearms); Equity (law); Imperfect; Government bond; Capital asset pricing model; Asset (computer security)","score_opus":0.017032308963373762,"score_gpt":0.25537180346542127,"score_spread":0.2383394945020475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116409170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878314,0.0003382759,0.0027517825,0.000504321,0.000021779591,0.000022300079,0.00042105297,0.000059957743,0.008049015],"genre_scores_gemma":[0.99811494,0.000111112466,0.00021733987,0.00004320998,0.000008747702,0.000004610353,0.0000755431,0.000006155041,0.0014182433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99966836,0.00009047991,0.000015113703,0.00005579885,0.000048139384,0.00012205967],"domain_scores_gemma":[0.9932656,0.0041551115,0.0013859123,0.00035716675,0.00035617387,0.00047997772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011478333,0.00042097512,0.0006221706,0.00042132763,0.00031067122,0.0014882975,0.0006702307,0.0011060733,0.009864748],"category_scores_gemma":[0.005629534,0.00032984943,0.0005733729,0.00046964307,0.0008458654,0.0017522933,0.00087524427,0.0012223701,0.00037793632],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002276662,0.00093879533,0.07955179,0.00019116177,0.00025986,0.0011066096,0.00019867976,0.8413226,0.011703587,0.035810478,0.0022560575,0.024383724],"study_design_scores_gemma":[0.0003963344,0.001216867,0.15946078,0.000061387305,0.00041067443,0.00028088535,0.0007560222,0.79787016,0.008006392,0.02892893,0.0024692933,0.00014225891],"about_ca_topic_score_codex":0.01857266,"about_ca_topic_score_gemma":0.013688196,"teacher_disagreement_score":0.01857266,"about_ca_system_score_codex":0.0015628337,"about_ca_system_score_gemma":0.0008351349,"threshold_uncertainty_score":0.03692913},"labels":[],"label_agreement":null},{"id":"W7117156801","doi":"10.3905/jpm.2025.1.803","title":"Delegating Benchmarks: Aligning Incentives for Better Total Fund Performance","year":2025,"lang":"en","type":"article","venue":"The Journal of Portfolio Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CARE Canada","funders":"","keywords":"Benchmarking; Accountability; Benchmark (surveying); Incentive; Delegation; Corporate governance; Fund administration; Manager of managers fund; Investment fund","score_opus":0.023276195647855394,"score_gpt":0.23480982383052784,"score_spread":0.21153362818267246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117156801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46617177,0.0007241997,0.4220307,0.008730241,0.00024651075,0.00040798087,0.00017364415,0.0011932146,0.10032188],"genre_scores_gemma":[0.9856096,0.000059175913,0.012188993,0.00017942923,0.00004119554,0.00005879755,0.000013489559,0.000027164915,0.0018221686],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99162173,0.004252836,0.0004346684,0.00090923393,0.0014690424,0.0013125536],"domain_scores_gemma":[0.97562045,0.006862111,0.007038813,0.0052179974,0.0022205883,0.0030401293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011872914,0.00072300417,0.0007397492,0.0011393391,0.0010838783,0.0047654565,0.0010684498,0.001738731,0.0039522676],"category_scores_gemma":[0.044409655,0.0004167471,0.00031190432,0.0010789937,0.002353693,0.0040363404,0.004531311,0.0017486265,0.000750727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006641383,0.0007461776,0.029727098,0.00025160916,0.00010258519,0.0003429205,0.0019489271,0.08142353,0.014511206,0.57587796,0.006852782,0.28755113],"study_design_scores_gemma":[0.0005160294,0.0010722497,0.028672991,0.00025291267,0.00008703546,0.00036026104,0.0011221685,0.14771871,0.011399358,0.77961874,0.028931644,0.00024796295],"about_ca_topic_score_codex":0.0020187737,"about_ca_topic_score_gemma":0.002230528,"teacher_disagreement_score":0.011872914,"about_ca_system_score_codex":0.00222414,"about_ca_system_score_gemma":0.0030643505,"threshold_uncertainty_score":0.06279075},"labels":[],"label_agreement":null},{"id":"W7117291044","doi":"10.3390/jrfm19010020","title":"Beyond Volatility Decay: Correcting Relative Expected Return Estimates for Leveraged Exchange Traded Funds","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Portfolio; Index (typography); Rate of return; Rate of return on a portfolio; Expected return; Stock market index","score_opus":0.022144934651860272,"score_gpt":0.23155982786244572,"score_spread":0.20941489321058546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117291044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69334894,0.0025442159,0.29613554,0.001078471,0.000362158,0.00007906203,0.0010337692,0.0020827819,0.0033350468],"genre_scores_gemma":[0.9570274,0.0002584052,0.04079203,0.000107863445,0.00008473278,0.00001843189,0.0007626954,0.00013571416,0.0008126302],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971359,0.0012374969,0.00027456888,0.00055350637,0.0006426757,0.00015577675],"domain_scores_gemma":[0.97269565,0.015782956,0.004093743,0.004121564,0.002963381,0.00034274082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00996696,0.00071282254,0.0005276798,0.0016535053,0.0003357337,0.0021419504,0.00078521983,0.0007824755,0.0008579231],"category_scores_gemma":[0.08905926,0.00024908,0.00042401932,0.0011435623,0.00044383507,0.0019664508,0.0010464161,0.0014288613,0.00044167606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009852558,0.00012491985,0.3791181,0.00019025817,0.0007783263,0.00034651015,0.00056022475,0.15653889,0.005944653,0.010906505,0.005718141,0.4387882],"study_design_scores_gemma":[0.00010018575,0.00038226147,0.113891944,0.00021882619,0.0001947792,0.0005738386,0.00040531662,0.83829933,0.022021085,0.01588381,0.007862826,0.00016584194],"about_ca_topic_score_codex":0.0071694655,"about_ca_topic_score_gemma":0.0051386873,"teacher_disagreement_score":0.00996696,"about_ca_system_score_codex":0.0006151874,"about_ca_system_score_gemma":0.0010804299,"threshold_uncertainty_score":0.05271095},"labels":[],"label_agreement":null},{"id":"W7120711468","doi":"","title":"Commonality in liquidity: evidence in the brazilian market","year":2011,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Portfolio; Emerging markets; Sample (material); Quarter (Canadian coin); Index (typography)","score_opus":0.05833104688463489,"score_gpt":0.2611498522125164,"score_spread":0.20281880532788152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7120711468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98346555,0.0031615463,0.0007971347,0.0008868442,0.000015091095,0.000036050576,0.00033632718,0.000010300747,0.011291067],"genre_scores_gemma":[0.99899787,0.00057294534,0.00016554273,0.000043514676,0.000017023294,0.0000051530446,0.000081896316,0.0000032155567,0.00011281802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99700755,0.00072031404,0.00036145715,0.00052279426,0.0010258231,0.00036210238],"domain_scores_gemma":[0.9755715,0.0079323985,0.01029697,0.0020800561,0.0031952017,0.00092394446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045646164,0.00034950406,0.0007100543,0.0063080844,0.0019426931,0.0029152024,0.0006705575,0.00087890035,0.0028092128],"category_scores_gemma":[0.025202734,0.00034350427,0.0006231605,0.0070185554,0.003913777,0.0026340494,0.0032322786,0.0005475216,0.00019211353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032248846,0.00013793679,0.8899571,0.00057397474,0.00032236575,0.0017070933,0.030053169,0.00034735692,0.0018144397,0.018862627,0.0012999955,0.054601464],"study_design_scores_gemma":[0.00004640499,0.000159618,0.9451258,0.00051473995,0.00018445689,0.0020158517,0.02744025,0.0016058258,0.0006726953,0.00886429,0.013298431,0.00007156765],"about_ca_topic_score_codex":0.038565386,"about_ca_topic_score_gemma":0.039981335,"teacher_disagreement_score":0.038565386,"about_ca_system_score_codex":0.001437424,"about_ca_system_score_gemma":0.0016770501,"threshold_uncertainty_score":0.07668185},"labels":[],"label_agreement":null},{"id":"W7120760004","doi":"","title":"Investor attention and the behavior of stock markets","year":2023,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Emerging markets; Stock exchange; Stock (firearms); Capital market; Volatility (finance); Financial market; Order (exchange); Asset (computer security)","score_opus":0.030469546705676764,"score_gpt":0.24204727823275707,"score_spread":0.21157773152708031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7120760004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960737,0.00037124887,0.0007268932,0.00016364365,0.0000069780845,0.000014843936,0.0001350675,0.000008647119,0.0024989028],"genre_scores_gemma":[0.99929,0.000116281255,0.00014764955,0.00002312111,0.000013342593,0.000006641863,0.00008502306,0.0000017625589,0.0003161169],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931383,0.00023272837,0.000057611345,0.00013671417,0.00013912891,0.00011988116],"domain_scores_gemma":[0.9922347,0.0042721326,0.0025966342,0.0002393746,0.00033588457,0.00032116435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013358295,0.00020427324,0.00028438994,0.0011154307,0.00022152704,0.0012713955,0.00023157844,0.00051586475,0.0017388891],"category_scores_gemma":[0.014374829,0.00012717443,0.00028873855,0.0009632494,0.0003679589,0.0011438902,0.0005146867,0.00048032193,0.00020309577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000227196,0.00014454313,0.9716197,0.000054750213,0.00015932394,0.00021459896,0.00094836013,0.0028484035,0.0010498347,0.0022224765,0.0005049879,0.020005751],"study_design_scores_gemma":[0.0000085439115,0.00007709332,0.9867621,0.000014118188,0.000037453825,0.0000944922,0.00032613662,0.009628177,0.00028012498,0.002148473,0.00061165023,0.000011560838],"about_ca_topic_score_codex":0.0054519763,"about_ca_topic_score_gemma":0.0047540423,"teacher_disagreement_score":0.0054519763,"about_ca_system_score_codex":0.00056009064,"about_ca_system_score_gemma":0.00021403586,"threshold_uncertainty_score":0.010840476},"labels":[],"label_agreement":null},{"id":"W7125186936","doi":"10.62381/acs.bam2025.12","title":"Exploration of the Interaction Mechanism between Market Pricing Bias and Stock Returns from a Behavioral Finance Perspective","year":2025,"lang":"","type":"article","venue":"Academic Conferences Series","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Capital asset pricing model; Behavioral economics; Arbitrage pricing theory; Rational pricing; Consumption-based capital asset pricing model; Stock (firearms); Stock market; Investment theory; Arbitrage","score_opus":0.11156554603564489,"score_gpt":0.2975162807879076,"score_spread":0.1859507347522627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125186936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80854297,0.01990409,0.12835062,0.009135494,0.000121343095,0.00007356033,0.00018214573,0.00009370168,0.033596143],"genre_scores_gemma":[0.9843376,0.006390382,0.007790014,0.0002894456,0.0001257813,0.00001718839,0.000040005154,0.0000072004505,0.0010023493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997669,0.000099731646,0.000011271363,0.000035560246,0.000056137746,0.000030362788],"domain_scores_gemma":[0.99815816,0.0012634075,0.00031349197,0.00006585038,0.00013930238,0.000059739934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010324941,0.00029418032,0.00027845489,0.0009146756,0.000146715,0.0011954176,0.00025966304,0.00048383264,0.0009609144],"category_scores_gemma":[0.002951587,0.00015747291,0.00033928125,0.0004766017,0.00066237384,0.0016052825,0.00033193303,0.0007847594,0.00007587755],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021765396,0.00040582495,0.15738392,0.00087852683,0.00055535114,0.0010290275,0.0011942656,0.023832496,0.025849711,0.59658587,0.0014598452,0.19060752],"study_design_scores_gemma":[0.000050578976,0.00043503847,0.29397598,0.0002870646,0.00047507102,0.0009743651,0.0012792944,0.2009538,0.008651283,0.4777173,0.015037327,0.0001628899],"about_ca_topic_score_codex":0.00096383976,"about_ca_topic_score_gemma":0.0008434798,"teacher_disagreement_score":0.0011954176,"about_ca_system_score_codex":0.00047303995,"about_ca_system_score_gemma":0.0005192606,"threshold_uncertainty_score":0.005460441},"labels":[],"label_agreement":null},{"id":"W7125851304","doi":"10.5958/2249-7137.2025.00047.9","title":"A Study on Indian Stock Market Volatility","year":2025,"lang":"en","type":"article","venue":"ACADEMICIA An International Multidisciplinary Research Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Volatility (finance); Stock market; Volatility risk premium; Volatility swap; Volatility smile; Implied volatility; Equity (law); Stock (firearms)","score_opus":0.14318599445979274,"score_gpt":0.41255456707051685,"score_spread":0.2693685726107241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125851304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716481,0.0018982087,0.00021711401,0.0010284452,0.000032204403,0.000025412059,0.00033018753,0.0000064506544,0.024813958],"genre_scores_gemma":[0.9968028,0.0016982894,0.00012014209,0.00015253123,0.00006143917,0.0000073156775,0.00019726982,0.0000024698809,0.0009577134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950826,0.00009156603,0.000055861306,0.00004118161,0.00020605027,0.00009713894],"domain_scores_gemma":[0.9982286,0.00074536365,0.00047442102,0.00007208741,0.00033365126,0.00014578064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058968633,0.00014477331,0.00019098609,0.0023780887,0.00081315427,0.0017688231,0.00027034536,0.00025777897,0.0019253101],"category_scores_gemma":[0.0026543671,0.00009570752,0.00037459095,0.005105965,0.00039353225,0.0010936732,0.00060505123,0.0006020648,0.00017633173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009564167,0.0003273215,0.8684828,0.00032656288,0.0001052519,0.0012975765,0.028789215,0.0005580381,0.0015535763,0.023830803,0.004955677,0.0696776],"study_design_scores_gemma":[0.000002164608,0.000060007103,0.97434425,0.000092589435,0.00004542543,0.0005210175,0.012558912,0.00062849256,0.0002738078,0.0012867103,0.010169086,0.000017517339],"about_ca_topic_score_codex":0.020256823,"about_ca_topic_score_gemma":0.015606106,"teacher_disagreement_score":0.020256823,"about_ca_system_score_codex":0.0012525598,"about_ca_system_score_gemma":0.0010965905,"threshold_uncertainty_score":0.04027784},"labels":[],"label_agreement":null},{"id":"W7125900821","doi":"10.1145/3768292.3793405","title":"10.1145/3768292.3793405","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Arbitrage; Trading strategy; Statistical analysis; Statistical arbitrage","score_opus":0.013356116254455461,"score_gpt":0.16055098813307725,"score_spread":0.1471948718786218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125900821","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002599046,0.0065596397,0.013558785,0.002690699,0.0023592676,0.00044646935,0.028554475,0.019119713,0.92411196],"genre_scores_gemma":[0.0071273115,0.003427476,0.0027221374,0.0012179697,0.00025224872,0.00027250202,0.012192313,0.00277955,0.9700085],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935716,0.00005669758,0.00005895998,0.00018583774,0.00020483328,0.00013650344],"domain_scores_gemma":[0.9980971,0.0005046593,0.0001121677,0.0006709068,0.0003274357,0.0002877266],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019519588,0.0030025481,0.0029812963,0.0025839084,0.0021537193,0.005090865,0.0031437338,0.0068703303,0.93919945],"category_scores_gemma":[0.0044748667,0.0021495272,0.0013716232,0.009416636,0.0014667539,0.01061696,0.005335919,0.0032984097,0.96339345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026496153,0.00020671713,0.00065258774,0.0005756338,0.00005123087,0.000257907,0.00008095746,0.0010252915,0.0009392856,0.008458998,0.70634997,0.2811365],"study_design_scores_gemma":[0.000058692083,0.00003495269,0.0010965146,0.00030230847,0.00005221571,0.00018741835,0.000068848014,0.0013433921,0.0005911404,0.0032030647,0.993024,0.000037346937],"about_ca_topic_score_codex":0.01602186,"about_ca_topic_score_gemma":0.009807237,"teacher_disagreement_score":0.060800552,"about_ca_system_score_codex":0.0022511296,"about_ca_system_score_gemma":0.0009714567,"threshold_uncertainty_score":0.08672452},"labels":[],"label_agreement":null},{"id":"W7125927133","doi":"10.21953/lse.00004789","title":"Essays in finance","year":2024,"lang":"","type":"dissertation","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spillover effect; Quarter (Canadian coin); Trademark; Externality; Divestment; Interdependence; Financial innovation; Stock (firearms)","score_opus":0.054101026142892854,"score_gpt":0.3465284621440534,"score_spread":0.29242743600116056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125927133","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003847522,0.3519507,0.0037433526,0.20635708,0.028291708,0.000031310723,0.000758716,0.00014075659,0.40487885],"genre_scores_gemma":[0.1565779,0.2675716,0.003345259,0.04824358,0.0927571,0.0001434024,0.0010111041,0.000280666,0.43006942],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869484,0.00041468552,0.00006603814,0.00024044554,0.0004448209,0.0001391381],"domain_scores_gemma":[0.9973699,0.0015787221,0.00022083531,0.00025916027,0.00036243937,0.00020900911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018424488,0.0010226975,0.00069602835,0.0029744005,0.001991901,0.004675234,0.00065893226,0.0026883907,0.02912814],"category_scores_gemma":[0.0075189453,0.00023423854,0.000636445,0.002995431,0.004974326,0.004988883,0.0013868046,0.0038962176,0.0076626283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002750164,0.00002634968,0.000935214,0.00024151285,0.000020540243,0.00007758366,0.0009843317,0.00033257288,0.00008962604,0.42669356,0.5020782,0.068493046],"study_design_scores_gemma":[0.000003602908,0.000009174921,0.00069390185,0.00027083614,0.000002956879,0.00007848508,0.00019555206,0.000097976204,0.000025583468,0.04691832,0.9516988,0.000004816862],"about_ca_topic_score_codex":0.0031495388,"about_ca_topic_score_gemma":0.0033932067,"teacher_disagreement_score":0.02912814,"about_ca_system_score_codex":0.0042958925,"about_ca_system_score_gemma":0.0021598202,"threshold_uncertainty_score":0.09744334},"labels":[],"label_agreement":null},{"id":"W7125969256","doi":"10.1145/3768292.3793397","title":"10.1145/3768292.3793397","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Questions and answers; Term (time); Component (thermodynamics)","score_opus":0.013454139245521041,"score_gpt":0.16023750890537294,"score_spread":0.1467833696598519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125969256","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022039542,0.0057408987,0.012828095,0.0024322735,0.0021544937,0.00040698235,0.02628636,0.017416393,0.9305306],"genre_scores_gemma":[0.0064906483,0.0031599698,0.0026448616,0.0011025738,0.00022847811,0.00024443842,0.01172703,0.0026946962,0.9717074],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994081,0.00005193035,0.00005630249,0.00016703494,0.0001913026,0.00012523566],"domain_scores_gemma":[0.9982413,0.00047611407,0.00010338474,0.000611031,0.00030444795,0.00026372581],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017293766,0.0027464137,0.0026485552,0.0025656924,0.0019398052,0.0048777317,0.0027964516,0.005894943,0.9415277],"category_scores_gemma":[0.0043121073,0.0019010152,0.0012715298,0.008906984,0.0013639332,0.0094707515,0.0049917744,0.002945111,0.9659078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022697987,0.00017850495,0.00058504497,0.00049913884,0.000044000626,0.00020906817,0.00007110555,0.0009508637,0.00086448836,0.007508574,0.7079755,0.28088668],"study_design_scores_gemma":[0.000052252955,0.000030556792,0.0010110536,0.0002884619,0.000047980473,0.00016745488,0.00006017124,0.0012700546,0.00057172053,0.002951642,0.99351525,0.00003333217],"about_ca_topic_score_codex":0.01504749,"about_ca_topic_score_gemma":0.0088406885,"teacher_disagreement_score":0.058472276,"about_ca_system_score_codex":0.0020247137,"about_ca_system_score_gemma":0.00090466347,"threshold_uncertainty_score":0.08340353},"labels":[],"label_agreement":null},{"id":"W7125984838","doi":"10.2139/ssrn.5749704","title":"The Intra-Day Stock Return Periodicity Puzzle","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Stock (firearms); Stock market index; Index (typography); Closing (real estate); Interval (graph theory); Volatility (finance); Stock exchange","score_opus":0.017225198236830472,"score_gpt":0.22313663376953002,"score_spread":0.20591143553269955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125984838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769892,0.0012000616,0.00619123,0.0036453765,0.00012718399,0.0000059570802,0.00044103863,0.0001299247,0.011269923],"genre_scores_gemma":[0.9970968,0.00020356836,0.000605878,0.00014975075,0.000172566,0.0000032893472,0.00023349337,0.00004736834,0.0014872758],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998572,0.0000326437,0.0000113512615,0.000037237638,0.000042626358,0.00001894812],"domain_scores_gemma":[0.9971693,0.0013936633,0.00058613817,0.0005020029,0.0001912819,0.00015761422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078796846,0.00017656457,0.00046469187,0.0005629143,0.00025254814,0.0014522348,0.00041666505,0.0010834457,0.004236523],"category_scores_gemma":[0.009133756,0.00025377792,0.0002674966,0.000573381,0.0004195495,0.0012932245,0.000642383,0.0011613982,0.0007411887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030047353,0.00046516547,0.36453268,0.0004406014,0.0006357737,0.0039219423,0.0021833475,0.034458216,0.04284978,0.21615703,0.042185828,0.2891649],"study_design_scores_gemma":[0.0002131406,0.00015425585,0.6506314,0.00009612627,0.00016018531,0.0029198425,0.0006041725,0.109626174,0.0027836857,0.21988258,0.012814039,0.00011432926],"about_ca_topic_score_codex":0.00042719528,"about_ca_topic_score_gemma":0.00041654767,"teacher_disagreement_score":0.004236523,"about_ca_system_score_codex":0.0001783417,"about_ca_system_score_gemma":0.0001619851,"threshold_uncertainty_score":0.014172554},"labels":[],"label_agreement":null},{"id":"W7127558520","doi":"","title":"Essays in finance","year":2024,"lang":"","type":"dissertation","venue":"Open MIND","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spillover effect; Quarter (Canadian coin); Trademark; Externality; Divestment; Interdependence; Financial innovation; Stock (firearms)","score_opus":0.047717882200316586,"score_gpt":0.28071216013820205,"score_spread":0.23299427793788546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127558520","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003847522,0.3519507,0.0037433526,0.20635708,0.028291708,0.000031310723,0.000758716,0.00014075659,0.40487885],"genre_scores_gemma":[0.1565779,0.2675716,0.003345259,0.04824358,0.0927571,0.0001434024,0.0010111041,0.000280666,0.43006942],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99869484,0.00041468552,0.00006603814,0.00024044554,0.0004448209,0.0001391381],"domain_scores_gemma":[0.9973699,0.0015787221,0.00022083531,0.00025916027,0.00036243937,0.00020900911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018424488,0.0010226975,0.00069602835,0.0029744005,0.001991901,0.004675234,0.00065893226,0.0026883907,0.02912814],"category_scores_gemma":[0.0075189453,0.00023423854,0.000636445,0.002995431,0.004974326,0.004988883,0.0013868046,0.0038962176,0.0076626283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002750164,0.00002634968,0.000935214,0.00024151285,0.000020540243,0.00007758366,0.0009843317,0.00033257288,0.00008962604,0.42669356,0.5020782,0.068493046],"study_design_scores_gemma":[0.000003602908,0.000009174921,0.00069390185,0.00027083614,0.000002956879,0.00007848508,0.00019555206,0.000097976204,0.000025583468,0.04691832,0.9516988,0.000004816862],"about_ca_topic_score_codex":0.0031495388,"about_ca_topic_score_gemma":0.0033932067,"teacher_disagreement_score":0.02912814,"about_ca_system_score_codex":0.0042958925,"about_ca_system_score_gemma":0.0021598202,"threshold_uncertainty_score":0.09744334},"labels":[],"label_agreement":null},{"id":"W7127778101","doi":"","title":"YATIRIMCILARIN DAVRANIŞSAL YANILGILARININ G7 VE BRICS SERMAYE PİYASALARI İŞLEM HACİMLERİ ÜZERİNE ETKİSİ","year":2020,"lang":"","type":"article","venue":"DergiPark (Istanbul University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rationality; Pessimism; Optimism; Western hemisphere; Stock (firearms); Capital market; Capital flows","score_opus":0.03482506451993532,"score_gpt":0.18279879496122947,"score_spread":0.14797373044129414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127778101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853617,0.0029651648,0.0011023772,0.000891054,0.000055779266,0.000022875878,0.00026474163,0.00005112934,0.009285132],"genre_scores_gemma":[0.9937972,0.0023259078,0.001409801,0.00011817872,0.00003770503,0.000017811632,0.00045430684,0.000009191316,0.0018300492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929667,0.00015020829,0.000073003626,0.000092799855,0.00026516814,0.00012209972],"domain_scores_gemma":[0.9984633,0.00046534918,0.0004775436,0.000056290257,0.00044235686,0.0000952542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017484665,0.0009036758,0.00070356566,0.0010578346,0.00075539766,0.0027878748,0.00038449364,0.00059630634,0.005071496],"category_scores_gemma":[0.0024818492,0.00020163109,0.0006175481,0.0011028511,0.0008068755,0.0014280343,0.00082889776,0.0006828949,0.001224098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021747316,0.0008338117,0.68785447,0.000962635,0.0005695854,0.0037388082,0.0034371617,0.009888859,0.006231216,0.011772454,0.008341645,0.26419464],"study_design_scores_gemma":[0.0002967578,0.0018612827,0.87839574,0.0009484971,0.0007703947,0.0036403537,0.015565888,0.044559818,0.014132406,0.0068342616,0.032784566,0.0002100346],"about_ca_topic_score_codex":0.0120135965,"about_ca_topic_score_gemma":0.008356798,"teacher_disagreement_score":0.0120135965,"about_ca_system_score_codex":0.0011410688,"about_ca_system_score_gemma":0.0020390365,"threshold_uncertainty_score":0.023887336},"labels":[],"label_agreement":null},{"id":"W7132886780","doi":"","title":"Three essays on the risk and distribution of a portfolio&apos;s future losses","year":2001,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Probability distribution; Estimation; Term (time)","score_opus":0.028508943144197753,"score_gpt":0.2665698645069105,"score_spread":0.23806092136271276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132886780","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06650755,0.09377837,0.2247322,0.38652077,0.014385584,0.00011784692,0.002784498,0.00031802588,0.21085519],"genre_scores_gemma":[0.6311763,0.062033974,0.025165394,0.011156509,0.023902798,0.00014137548,0.0011595724,0.0005623879,0.24470168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850035,0.00026825193,0.00009188058,0.00020253875,0.0007727052,0.00016422186],"domain_scores_gemma":[0.9817231,0.012071744,0.0010760828,0.0009434909,0.0032590071,0.00092663727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046414384,0.00080903893,0.000802683,0.002653192,0.0017325594,0.006084361,0.0013825168,0.0031854375,0.008122779],"category_scores_gemma":[0.03148014,0.0006674859,0.0008459727,0.0040982864,0.0056279083,0.004840788,0.0016875699,0.0038591637,0.0007427931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012359505,0.00004912719,0.004450716,0.00013320512,0.000071327646,0.0003017009,0.0017461873,0.0084099835,0.00048348735,0.68695307,0.19500595,0.10227163],"study_design_scores_gemma":[0.000024504101,0.00004320838,0.011806203,0.00042517594,0.00005307793,0.0004034105,0.0011816993,0.0072580837,0.0005935668,0.7766756,0.20141947,0.00011594148],"about_ca_topic_score_codex":0.014350925,"about_ca_topic_score_gemma":0.014945387,"teacher_disagreement_score":0.014350925,"about_ca_system_score_codex":0.0069937943,"about_ca_system_score_gemma":0.0018937998,"threshold_uncertainty_score":0.05074382},"labels":[],"label_agreement":null},{"id":"W7134136337","doi":"10.61190/fsr.v18i1.4932","title":"Who holds foreign stocks and bonds?","year":2009,"lang":"","type":"article","venue":"Financial Services Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Centre for Global Health Research","funders":"","keywords":"Sophistication; Bond; Foreign direct investment; Financial market; Stock (firearms)","score_opus":0.01909450079505526,"score_gpt":0.22764930593789234,"score_spread":0.20855480514283709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7134136337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99679404,0.0010279409,0.00008276085,0.00047068126,0.000007532361,0.000003104386,0.000079946134,9.059817e-7,0.0015330652],"genre_scores_gemma":[0.9965138,0.0015792372,0.00007708594,0.00013533144,0.000033267286,0.0000031026905,0.00012496159,6.5257103e-7,0.0015325005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997713,0.00009202473,0.000015693719,0.000028595774,0.000038760103,0.00005359356],"domain_scores_gemma":[0.9960284,0.00084263075,0.0024626064,0.00007102791,0.00012959448,0.00046577444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080170535,0.00012427334,0.00030196414,0.00042123385,0.00022632342,0.00094845233,0.00023386297,0.0005694011,0.002722778],"category_scores_gemma":[0.0038406078,0.00010306969,0.00015334935,0.00059404125,0.000240544,0.0007984126,0.00024748922,0.0005402329,0.00055245025],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007954442,0.00011388487,0.9845611,0.0000156817,0.000040255523,0.00017168689,0.00025034026,0.00009825048,0.0001007077,0.000615355,0.0004188414,0.013534306],"study_design_scores_gemma":[0.000029023884,0.00037995752,0.98739725,0.00006349733,0.00011598697,0.0012573318,0.0028304677,0.0016854485,0.00033561993,0.0017968003,0.0040957434,0.000012864257],"about_ca_topic_score_codex":0.0063012913,"about_ca_topic_score_gemma":0.008194255,"teacher_disagreement_score":0.0063012913,"about_ca_system_score_codex":0.0001988719,"about_ca_system_score_gemma":0.00022233346,"threshold_uncertainty_score":0.012529194},"labels":[],"label_agreement":null},{"id":"W7135564825","doi":"","title":"Comparison of New York Stock Exchange and Toronto Stock Exchange","year":2009,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Open outcry; Algorithmic trading; Trading strategy; Stock (firearms); Alternative trading system; Flash trading; Electronic trading","score_opus":0.032172307119395074,"score_gpt":0.266025984607149,"score_spread":0.23385367748775393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135564825","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21694915,0.010784555,0.0007819826,0.0077445493,0.0014137087,0.00014379728,0.0648224,0.00028050639,0.69707936],"genre_scores_gemma":[0.6449575,0.008526718,0.0014606796,0.000826825,0.00089863496,0.00016917869,0.09401076,0.00023540521,0.24891427],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9978422,0.00013172897,0.0000935233,0.00015805123,0.0015735647,0.00020092724],"domain_scores_gemma":[0.99601775,0.00045736873,0.00046449833,0.0001291938,0.0024342998,0.0004969413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089418446,0.0002376015,0.000296918,0.006271935,0.00092868204,0.0028036865,0.00040856,0.00034627688,0.032988474],"category_scores_gemma":[0.0052457815,0.00010706721,0.0002228785,0.009924168,0.00041789538,0.0014607357,0.0007050974,0.00045972707,0.003363793],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041727984,0.0000686839,0.13152215,0.0004459199,0.00013194661,0.0003013044,0.0025067036,0.0015829103,0.0009482438,0.051364683,0.6929335,0.117776655],"study_design_scores_gemma":[0.000024609528,0.000029378565,0.6664489,0.00012866146,0.000030816085,0.00008662984,0.002240423,0.000959091,0.0007371054,0.0009287513,0.32834733,0.000038272392],"about_ca_topic_score_codex":0.56431794,"about_ca_topic_score_gemma":0.7875447,"teacher_disagreement_score":0.43568206,"about_ca_system_score_codex":0.012520996,"about_ca_system_score_gemma":0.0053296415,"threshold_uncertainty_score":0.8764957},"labels":[],"label_agreement":null},{"id":"W7135805211","doi":"","title":"Mutual funds in North and South America: Relationship between news and Mutual funds Returns","year":2024,"lang":"en","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Mutual fund; Stock market; Developing country; Stock (firearms); Asset (computer security); Emerging markets; Distributed lag","score_opus":0.022184955775366028,"score_gpt":0.22604714401871004,"score_spread":0.203862188243344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135805211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99748176,0.0002997699,0.000021054377,0.0003932386,0.000004037243,0.0000018926074,0.00022709428,0.0000022552715,0.0015689168],"genre_scores_gemma":[0.99840313,0.0005319649,0.000035289388,0.00004350773,0.000014626732,0.0000025876207,0.00032894663,0.0000019171648,0.0006380343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991786,0.000018713792,0.0000055481546,0.000013634206,0.000021441867,0.000022753526],"domain_scores_gemma":[0.99845135,0.00035695283,0.000822482,0.00002800817,0.00018508255,0.00015610235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002654638,0.000095114316,0.00015208304,0.0008537064,0.00022246873,0.0008469009,0.000097718206,0.0001907959,0.0013846798],"category_scores_gemma":[0.0021558087,0.000052989562,0.00012275462,0.0011557951,0.00017245839,0.0003844141,0.0003904782,0.00030918585,0.0001380836],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062664636,0.000030501129,0.98869866,0.000020186331,0.000058147256,0.00016154374,0.0012642547,0.00018047234,0.00024269187,0.00033610887,0.0011456257,0.007799143],"study_design_scores_gemma":[0.0000025552085,0.0000073570536,0.99695194,0.000011202867,0.000018333136,0.000041012834,0.0016690968,0.00022820647,0.000054280248,0.00006686072,0.00094732904,0.0000019478086],"about_ca_topic_score_codex":0.05889383,"about_ca_topic_score_gemma":0.08082004,"teacher_disagreement_score":0.05889383,"about_ca_system_score_codex":0.00050449074,"about_ca_system_score_gemma":0.00041606827,"threshold_uncertainty_score":0.11710209},"labels":[],"label_agreement":null},{"id":"W7139741988","doi":"","title":"Liens de rendement et de volatilité entre les métaux et les marchés boursiers : Implications pour la gestion de portefeuille","year":2022,"lang":"en","type":"article","venue":"theses.fr (ABES)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Limiting; Order (exchange)","score_opus":0.04142095839295422,"score_gpt":0.2626748437179088,"score_spread":0.22125388532495455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7139741988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8074933,0.010924382,0.050650988,0.016401207,0.00019606773,0.00023543053,0.0026051672,0.00017020793,0.11132322],"genre_scores_gemma":[0.9776537,0.0024035277,0.007800006,0.0003403892,0.00004303339,0.00009357009,0.00035865247,0.00005044051,0.011256792],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99777323,0.0008173234,0.0001208908,0.0005793632,0.00048284023,0.00022636546],"domain_scores_gemma":[0.9876001,0.008724703,0.0020663075,0.00051491876,0.00079330837,0.00030074356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033563646,0.0006253741,0.0010714475,0.0011544295,0.0008521699,0.0056021283,0.0013962674,0.0012688865,0.020048026],"category_scores_gemma":[0.016572595,0.0005529523,0.0013559724,0.001620198,0.0015034304,0.0038722705,0.0017255379,0.0015520428,0.00094325794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070675794,0.0003393278,0.5071048,0.0012896637,0.0015098482,0.0011267473,0.01896275,0.025513932,0.0050889,0.3008634,0.0033666445,0.13412724],"study_design_scores_gemma":[0.00011408654,0.0005241444,0.6245558,0.0012996411,0.0007712605,0.00054249895,0.023930421,0.042502575,0.0041503133,0.23444754,0.0668974,0.00026431144],"about_ca_topic_score_codex":0.043969315,"about_ca_topic_score_gemma":0.0414501,"teacher_disagreement_score":0.043969315,"about_ca_system_score_codex":0.002733927,"about_ca_system_score_gemma":0.0024116714,"threshold_uncertainty_score":0.08742672},"labels":[],"label_agreement":null},{"id":"W7151393732","doi":"10.70675/341ff681zfd8ez4071z8b03zc87a19d6ba3a","title":"Return and volatility linkages between metals and stock markets : Implications for portfolio management","year":2022,"lang":"","type":"dissertation","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Volatility (finance); Stock market; Portfolio; Project portfolio management","score_opus":0.04125196276029486,"score_gpt":0.2761781846873606,"score_spread":0.23492622192706575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7151393732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.916285,0.009493357,0.037032813,0.0091597205,0.00012200149,0.00011284025,0.0006437466,0.000094345865,0.027056169],"genre_scores_gemma":[0.98501945,0.0039586285,0.004835992,0.00021071477,0.00013304604,0.00004041979,0.00015714254,0.000014766336,0.005629837],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994673,0.00015876145,0.000043332908,0.00013821523,0.00012439459,0.00006799089],"domain_scores_gemma":[0.99403256,0.003831938,0.0013940759,0.00020708524,0.0003706252,0.00016361603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015286738,0.0006283086,0.00067403825,0.0014282927,0.00043883905,0.0036797412,0.0005915116,0.0012241662,0.0091857575],"category_scores_gemma":[0.010654693,0.00044422282,0.0008294647,0.001308709,0.00064693135,0.0032568767,0.001107109,0.0010671513,0.0004226678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000489179,0.0004064605,0.5200418,0.00056968996,0.0010757141,0.0013169282,0.0016738236,0.09650061,0.00962485,0.21963564,0.0021018218,0.14656346],"study_design_scores_gemma":[0.00008267908,0.0004997965,0.52394944,0.0003961623,0.0004790913,0.0006097589,0.0021723008,0.14367591,0.0031441115,0.31480405,0.010037245,0.0001494185],"about_ca_topic_score_codex":0.004308467,"about_ca_topic_score_gemma":0.0044159037,"teacher_disagreement_score":0.0091857575,"about_ca_system_score_codex":0.0007659394,"about_ca_system_score_gemma":0.00086642255,"threshold_uncertainty_score":0.030729413},"labels":[],"label_agreement":null},{"id":"W7151905882","doi":"10.70675/90f19dd7z1bbez4bbez9fcdz675cb146378f","title":"Trois essais en économie financière","year":2023,"lang":"","type":"dissertation","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lafora disease; Complementarity (molecular biology); Anachronism","score_opus":0.026395400160696806,"score_gpt":0.2280353347652314,"score_spread":0.2016399346045346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7151905882","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0808197,0.12523542,0.06068795,0.040434293,0.004457985,0.00017641654,0.0020183497,0.000493461,0.68567646],"genre_scores_gemma":[0.63036746,0.09687284,0.020298397,0.004209434,0.0033887571,0.00018440127,0.0014915566,0.00025008272,0.24293707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99766254,0.00048215626,0.00017002868,0.0004276131,0.00097391277,0.00028364244],"domain_scores_gemma":[0.9973008,0.0009346475,0.00048432584,0.00032888594,0.00070041866,0.00025091675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031210408,0.0009105153,0.0007313636,0.0020634434,0.0015437036,0.009299929,0.0008916903,0.0019172536,0.03830516],"category_scores_gemma":[0.0072606397,0.00044942892,0.0013148756,0.0025408077,0.0014679981,0.005974967,0.002529281,0.0023047896,0.0040937928],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017293861,0.000085253465,0.0074139466,0.00088969007,0.00023669102,0.00031771156,0.0012792735,0.0061158035,0.0010575705,0.8081289,0.02475951,0.14954269],"study_design_scores_gemma":[0.000054433825,0.00015765044,0.012234432,0.0013598655,0.00019497964,0.00036919405,0.0013917526,0.0045037973,0.00152582,0.1936063,0.78452176,0.0000799493],"about_ca_topic_score_codex":0.011646038,"about_ca_topic_score_gemma":0.013181431,"teacher_disagreement_score":0.03830516,"about_ca_system_score_codex":0.003972551,"about_ca_system_score_gemma":0.0031975855,"threshold_uncertainty_score":0.12814355},"labels":[],"label_agreement":null},{"id":"W7160126904","doi":"10.2139/ssrn.5217973","title":"&lt;p&gt;&lt;b&gt;Do Corporate Bonds Hedge Geopolitical Risk?&lt;/b&gt;&lt;/p&gt;","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Geopolitics; Bond; Hedge; Index (typography); Risk management; Credit risk; Financial crisis","score_opus":0.019903488714028618,"score_gpt":0.22472474142066587,"score_spread":0.20482125270663726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160126904","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059181713,0.02587038,0.039751504,0.3967537,0.011877098,0.00012664721,0.01843985,0.0017693462,0.44622976],"genre_scores_gemma":[0.6258484,0.02799928,0.0109296385,0.006539422,0.006782265,0.00014303435,0.0062331203,0.0014970306,0.31402782],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9996587,0.000080240825,0.000022161805,0.00009313311,0.00010553918,0.000040141174],"domain_scores_gemma":[0.99758637,0.0013021826,0.00032754414,0.00020933179,0.00041725236,0.00015726115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007743646,0.0006559054,0.0013340324,0.0011983686,0.0011069666,0.005259458,0.0006199568,0.0037872887,0.09530716],"category_scores_gemma":[0.0057181483,0.00038351896,0.00042810847,0.0025028023,0.0013888757,0.0037333444,0.00074742304,0.0016442727,0.02336303],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012536412,0.000052435666,0.0018411444,0.00033603772,0.00008622241,0.00022426511,0.00015067341,0.0024875512,0.0008943496,0.2559945,0.60206044,0.13574703],"study_design_scores_gemma":[0.000116990224,0.000046878704,0.0052502137,0.0002452322,0.00010756391,0.00014442825,0.00033763127,0.017841956,0.002620542,0.72417414,0.24904948,0.00006501273],"about_ca_topic_score_codex":0.013555836,"about_ca_topic_score_gemma":0.008458095,"teacher_disagreement_score":0.09530716,"about_ca_system_score_codex":0.0020294704,"about_ca_system_score_gemma":0.0010423269,"threshold_uncertainty_score":0.3188342},"labels":[],"label_agreement":null},{"id":"W7161752902","doi":"10.82308/49674","title":"Insider trading, asymmetric information, and market liquidity : three essays on market microstructure","year":2002,"lang":"en","type":"dissertation","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Contrarian; Insider trading; Market liquidity; Market microstructure; Order (exchange); Alternative trading system; Insider; Information asymmetry; Dark liquidity; Asset (computer security)","score_opus":0.01711054471452194,"score_gpt":0.20189326602871327,"score_spread":0.18478272131419132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161752902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29957008,0.16902898,0.15086241,0.15576288,0.0049106763,0.0001763933,0.0004616584,0.00022017087,0.21900676],"genre_scores_gemma":[0.86524147,0.050159626,0.014730229,0.009651599,0.012263127,0.00015612309,0.00016280296,0.0001318514,0.04750311],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922764,0.00017497562,0.000051954503,0.00011227322,0.00035168746,0.00008152672],"domain_scores_gemma":[0.9932359,0.0043295627,0.000990102,0.00056863227,0.0006308479,0.00024504546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020986013,0.0005633031,0.00047579288,0.0009780793,0.0007188171,0.0031159783,0.0006816237,0.0024101266,0.0021879768],"category_scores_gemma":[0.0075370795,0.00039608325,0.000761451,0.0010479206,0.0048920587,0.0047289636,0.0014408132,0.0022392173,0.00038389824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014281146,0.00022141442,0.005973468,0.0005066569,0.0000970909,0.00026512373,0.002774254,0.0055356435,0.0028040612,0.877038,0.023982238,0.080659166],"study_design_scores_gemma":[0.000045657358,0.00017842793,0.013531707,0.000789174,0.00006673503,0.000268935,0.0007342135,0.0058745234,0.0011540335,0.905538,0.07174398,0.000074691234],"about_ca_topic_score_codex":0.000566198,"about_ca_topic_score_gemma":0.0005696654,"teacher_disagreement_score":0.0031159783,"about_ca_system_score_codex":0.0011744105,"about_ca_system_score_gemma":0.0007142002,"threshold_uncertainty_score":0.011098623},"labels":[],"label_agreement":null},{"id":"W7164758736","doi":"10.66674/xvqt7897","title":"Speculative Influences In The Stock Market: A Case Study of Kuala Lumpur Stock Exchange","year":2003,"lang":"","type":"article","venue":"Capital Markets Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock (firearms); Kuala lumpur; Stock market bubble; Stock market; Volatility (finance); Cost price; Quarter (Canadian coin)","score_opus":0.05277840431698806,"score_gpt":0.2735951704360418,"score_spread":0.22081676611905376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7164758736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982053,0.00022643822,0.0001084294,0.00015514695,0.000001220029,0.000005865367,0.000045850018,0.00000274383,0.0012490262],"genre_scores_gemma":[0.9987606,0.00037690898,0.00018501842,0.000015928235,0.00000481899,0.000002550543,0.00006126232,0.0000014453855,0.00059149205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998035,0.000075859054,0.00001838838,0.000017191618,0.000045832774,0.00003924063],"domain_scores_gemma":[0.99879456,0.00072467746,0.00023526518,0.00006445394,0.00009894285,0.00008210595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060827157,0.00024003335,0.00020707004,0.0009384409,0.0007946676,0.001270657,0.00035458963,0.00078240916,0.0010103062],"category_scores_gemma":[0.0018183491,0.00015171891,0.0003109382,0.000992476,0.00053666293,0.001335888,0.0005105289,0.00038930555,0.00012811113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043549057,0.0006735066,0.8568943,0.0002135269,0.000259332,0.037526406,0.022531342,0.016592704,0.0029459756,0.019020291,0.0030781555,0.039828833],"study_design_scores_gemma":[0.0000569374,0.00041884664,0.85685045,0.00014140067,0.00020580877,0.007397903,0.03926013,0.0792512,0.0024939596,0.003346569,0.010491158,0.000085609965],"about_ca_topic_score_codex":0.035383094,"about_ca_topic_score_gemma":0.053972576,"teacher_disagreement_score":0.035383094,"about_ca_system_score_codex":0.0011525166,"about_ca_system_score_gemma":0.00041691854,"threshold_uncertainty_score":0.07035428},"labels":[],"label_agreement":null},{"id":"W7165374250","doi":"10.5281/zenodo.20762889","title":"Bid-Ask Spread, Futures Market Sentiment and Exchange Rate Returns","year":2012,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Foreign exchange market; Exchange rate; Spot market; Index (typography); Currency; Spot contract; Market sentiment; Us dollar; Forward market","score_opus":0.04000452202038921,"score_gpt":0.21728749167870784,"score_spread":0.17728296965831863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7165374250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99491453,0.00023731957,0.0014389467,0.00004542868,0.000006364182,0.000009264238,0.0002776564,0.00001316293,0.0030572512],"genre_scores_gemma":[0.9984043,0.00014104162,0.0003202901,0.000006683547,0.00001564617,0.000004528909,0.00034559547,0.00000432065,0.0007576001],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998097,0.000063734755,0.00001691564,0.000025019921,0.00006352879,0.0000211359],"domain_scores_gemma":[0.99787426,0.0009481833,0.0007569106,0.000073040566,0.00019981885,0.00014780457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006895001,0.0003349469,0.00028136317,0.0007199627,0.00010621221,0.00094891695,0.00012923243,0.00031263015,0.002081544],"category_scores_gemma":[0.004155849,0.00011000384,0.00022545224,0.0006992342,0.00017184201,0.00079559913,0.0002257409,0.00035775133,0.00048147622],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083222904,0.0002887898,0.9515053,0.00008088021,0.0002288176,0.00046042947,0.0002734006,0.010223666,0.0070623565,0.003618798,0.00055312796,0.024872337],"study_design_scores_gemma":[0.000013096465,0.00014359812,0.96671563,0.000008604407,0.0000535893,0.00020561753,0.00013569885,0.029465955,0.0011094456,0.001533598,0.00059869705,0.00001646556],"about_ca_topic_score_codex":0.0011445507,"about_ca_topic_score_gemma":0.0008621661,"teacher_disagreement_score":0.002081544,"about_ca_system_score_codex":0.00021735617,"about_ca_system_score_gemma":0.00012967101,"threshold_uncertainty_score":0.006963432},"labels":[],"label_agreement":null},{"id":"W7165402935","doi":"10.5281/zenodo.20762890","title":"Bid-Ask Spread, Futures Market Sentiment and Exchange Rate Returns","year":2012,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Foreign exchange market; Exchange rate; Spot market; Index (typography); Currency; Spot contract; Market sentiment; Us dollar; Forward market","score_opus":0.04000452202038921,"score_gpt":0.21728749167870784,"score_spread":0.17728296965831863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7165402935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99491453,0.00023731957,0.0014389467,0.00004542868,0.000006364182,0.000009264238,0.0002776564,0.00001316293,0.0030572512],"genre_scores_gemma":[0.9984043,0.00014104162,0.0003202901,0.000006683547,0.00001564617,0.000004528909,0.00034559547,0.00000432065,0.0007576001],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998097,0.000063734755,0.00001691564,0.000025019921,0.00006352879,0.0000211359],"domain_scores_gemma":[0.99787426,0.0009481833,0.0007569106,0.000073040566,0.00019981885,0.00014780457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006895001,0.0003349469,0.00028136317,0.0007199627,0.00010621221,0.00094891695,0.00012923243,0.00031263015,0.002081544],"category_scores_gemma":[0.004155849,0.00011000384,0.00022545224,0.0006992342,0.00017184201,0.00079559913,0.0002257409,0.00035775133,0.00048147622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083222904,0.0002887898,0.9515053,0.00008088021,0.0002288176,0.00046042947,0.0002734006,0.010223666,0.0070623565,0.003618798,0.00055312796,0.024872337],"study_design_scores_gemma":[0.000013096465,0.00014359812,0.96671563,0.000008604407,0.0000535893,0.00020561753,0.00013569885,0.029465955,0.0011094456,0.001533598,0.00059869705,0.00001646556],"about_ca_topic_score_codex":0.0011445507,"about_ca_topic_score_gemma":0.0008621661,"teacher_disagreement_score":0.002081544,"about_ca_system_score_codex":0.00021735617,"about_ca_system_score_gemma":0.00012967101,"threshold_uncertainty_score":0.006963432},"labels":[],"label_agreement":null},{"id":"W76663703","doi":"10.2139/ssrn.687522","title":"The Economics of Mutual-Fund Brokerage: Evidence from the Cross Section of Investment Channels","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mutual fund; Section (typography); Investment (military); Investment fund; Business; Finance; Economics; Financial economics; Political science; Law; Advertising; Market liquidity","score_opus":0.03249691929775518,"score_gpt":0.2409245354837002,"score_spread":0.20842761618594502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W76663703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897573,0.001945962,0.0006670903,0.00083638245,0.000010602337,0.000010639115,0.00018818291,0.000010277853,0.006573459],"genre_scores_gemma":[0.9982949,0.00068552105,0.00008337867,0.00004906658,0.000040315907,0.000004342556,0.00009451285,0.0000030744125,0.00074480055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984157,0.00079840986,0.00007319891,0.00019343256,0.000294677,0.00022458032],"domain_scores_gemma":[0.9131595,0.06301587,0.016213953,0.0029771598,0.002428246,0.0022052983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003820333,0.00016745063,0.00054488465,0.0018482218,0.00063623546,0.0028345466,0.0005318677,0.0011727823,0.006784753],"category_scores_gemma":[0.033774104,0.00030708947,0.00038175491,0.0024562085,0.0011799358,0.0040408075,0.0012102287,0.0008484385,0.00060733396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020830384,0.00048195105,0.91512084,0.00014798844,0.0008189258,0.00044142356,0.0021622907,0.005999663,0.0009866587,0.032829627,0.00329511,0.035632458],"study_design_scores_gemma":[0.0004073901,0.00041724482,0.9388078,0.00011551242,0.0010063808,0.00055671413,0.003104652,0.011698701,0.0012587777,0.03534449,0.0072189933,0.000063497224],"about_ca_topic_score_codex":0.005515407,"about_ca_topic_score_gemma":0.005269326,"teacher_disagreement_score":0.006784753,"about_ca_system_score_codex":0.0008952522,"about_ca_system_score_gemma":0.00042996052,"threshold_uncertainty_score":0.02269733},"labels":[],"label_agreement":null},{"id":"W78666465","doi":"10.2139/ssrn.1741364","title":"Option Backdating: Market Overreaction and Management Motives","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Business","score_opus":0.025482964332899538,"score_gpt":0.19774114769164636,"score_spread":0.17225818335874682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W78666465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96630794,0.0006411055,0.0062959134,0.0017788474,0.000055951743,0.00004380584,0.00006774605,0.00008255626,0.024726057],"genre_scores_gemma":[0.99705964,0.00007473273,0.00067599217,0.00007475768,0.000054056218,0.0000047584326,0.000020478114,0.000012690268,0.0020227148],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994306,0.0001580717,0.00005385854,0.000088564724,0.0001396072,0.00012921581],"domain_scores_gemma":[0.9879488,0.0061703194,0.002827702,0.0015753114,0.0006658571,0.00081193727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031910506,0.0002965214,0.00034101907,0.0010138901,0.00052731903,0.002870843,0.0007381749,0.0016668132,0.009778159],"category_scores_gemma":[0.016915293,0.00019165521,0.00025525526,0.00060618203,0.0009163486,0.002589118,0.0006692848,0.0013805677,0.00038793054],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028710526,0.0017847565,0.3346909,0.00025872624,0.00018555274,0.0038525679,0.0031406502,0.0048621963,0.032559693,0.3493981,0.006461371,0.25993448],"study_design_scores_gemma":[0.00047803562,0.00095954235,0.4949404,0.0002114502,0.0002657205,0.005010748,0.0032918372,0.079325624,0.019893153,0.37101436,0.02443775,0.00017140743],"about_ca_topic_score_codex":0.00053864135,"about_ca_topic_score_gemma":0.0006458329,"teacher_disagreement_score":0.009778159,"about_ca_system_score_codex":0.0004544268,"about_ca_system_score_gemma":0.00033398904,"threshold_uncertainty_score":0.032711267},"labels":[],"label_agreement":null},{"id":"W801852519","doi":"10.1142/8557","title":"Handbook of the Fundamentals of Financial Decision Making","year":2012,"lang":"en","type":"book","venue":"World Scientific handbook in financial economic series","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Dalhousie University","funders":"","keywords":"Business; Economics","score_opus":0.02645594095920795,"score_gpt":0.22166238118898668,"score_spread":0.19520644022977873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W801852519","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014183874,0.16413379,0.09526357,0.013298548,0.0055246386,0.00023176342,0.0043350775,0.0018720105,0.7139222],"genre_scores_gemma":[0.022853253,0.19758345,0.09758126,0.0041730567,0.0039929333,0.0005039015,0.0056808884,0.00075979327,0.6668714],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992035,0.00011290066,0.000071555725,0.000101850674,0.00046951362,0.00004058687],"domain_scores_gemma":[0.99832195,0.0009337852,0.000090728914,0.00014925453,0.00041853837,0.000085691354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007943379,0.0010637844,0.0009972607,0.0019989708,0.0005356623,0.0028796648,0.001137157,0.0014169397,0.081687056],"category_scores_gemma":[0.0036734059,0.00047516898,0.00047163968,0.0027242207,0.0009089983,0.003035749,0.0009863117,0.0023442851,0.049947098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015639593,0.00005915242,0.0001555167,0.0007627626,0.000016121756,0.00007889084,0.00017150435,0.0028081755,0.00045496432,0.18050882,0.50851893,0.30644956],"study_design_scores_gemma":[0.0000034786867,0.000011714342,0.0002335901,0.00028276347,0.0000034701975,0.00017785364,0.000029254576,0.00065348885,0.00010637987,0.07402877,0.92445874,0.000010487477],"about_ca_topic_score_codex":0.0013772551,"about_ca_topic_score_gemma":0.0018801095,"teacher_disagreement_score":0.081687056,"about_ca_system_score_codex":0.0011701265,"about_ca_system_score_gemma":0.0022906044,"threshold_uncertainty_score":0.27327043},"labels":[],"label_agreement":null},{"id":"W820965373","doi":"10.2139/ssrn.2442068","title":"Variance Risk Premium Dynamics in Equity and Option Markets","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Variance risk premium; Equity (law); Financial economics; Equity risk; Economics; Variance (accounting); Risk premium; Equity capital markets; Econometrics; Actuarial science; Business; Volatility risk premium; Volatility (finance); Finance; Stochastic volatility; Accounting; Valuation (finance)","score_opus":0.009898939690383718,"score_gpt":0.21044065377222151,"score_spread":0.2005417140818378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W820965373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.882719,0.002047719,0.08911011,0.0054156454,0.00011829568,0.00002241564,0.00017331254,0.0002281429,0.020165427],"genre_scores_gemma":[0.99046046,0.0004706205,0.0017260653,0.00008675349,0.00009094341,0.000007970766,0.000050860446,0.000028415723,0.0070779533],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996401,0.00011445396,0.000014967374,0.00006152692,0.000081705184,0.00008712647],"domain_scores_gemma":[0.993887,0.0041230856,0.00076148624,0.00019897887,0.00042081508,0.0006085647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018621633,0.00045729044,0.00093297637,0.0009994536,0.0005958652,0.0036737793,0.001036034,0.0022177545,0.0075260154],"category_scores_gemma":[0.016223293,0.00059777277,0.0006484029,0.0006931006,0.0016686758,0.0061019706,0.0012682219,0.0026737638,0.00046556463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012909624,0.00011072788,0.0056755184,0.00005322737,0.000046681333,0.0005297339,0.00041729806,0.04192456,0.0034458921,0.93614864,0.0023123508,0.009206185],"study_design_scores_gemma":[0.00005029628,0.000038216713,0.0055146655,0.000021215415,0.000027214259,0.00025608562,0.00015565963,0.40725368,0.0003786368,0.5855844,0.0006714349,0.00004856767],"about_ca_topic_score_codex":0.0033718918,"about_ca_topic_score_gemma":0.002214365,"teacher_disagreement_score":0.0075260154,"about_ca_system_score_codex":0.0009951039,"about_ca_system_score_gemma":0.0006190638,"threshold_uncertainty_score":0.025177002},"labels":[],"label_agreement":null},{"id":"W83602495","doi":"10.2139/ssrn.2038930","title":"Financial Knowledge and Rationality of Canadian Investors","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Rationality; Finance; Business; Economics; Accounting; Political science; Law","score_opus":0.025775045028502308,"score_gpt":0.21245975325451932,"score_spread":0.18668470822601702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W83602495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94326675,0.0018258281,0.0005576608,0.006401239,0.000028273962,0.00003121338,0.0006702532,0.000015310457,0.047203533],"genre_scores_gemma":[0.9957456,0.00038823372,0.00012525158,0.00011372203,0.000009301273,0.0000033370075,0.0001048494,0.00000294139,0.003506771],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984024,0.00024039714,0.00006859373,0.0001860929,0.0005559885,0.00054666126],"domain_scores_gemma":[0.97988874,0.0093048,0.003058034,0.0009795472,0.005157341,0.0016115607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036916866,0.00025590297,0.0004950676,0.0013853743,0.0038374418,0.0050303796,0.0009291888,0.0013589102,0.007020599],"category_scores_gemma":[0.03132286,0.0002884425,0.00039825504,0.0019596666,0.0024887542,0.001962908,0.000985772,0.0013495827,0.00030226883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018181121,0.00033981111,0.71679676,0.00018601316,0.00028015615,0.00093990535,0.018301923,0.019743053,0.0007260006,0.14316164,0.020113045,0.077593625],"study_design_scores_gemma":[0.00025567162,0.00014796742,0.8432138,0.00031517682,0.0002876993,0.00034689033,0.022924433,0.033907015,0.0010847474,0.06177452,0.035341315,0.0004007488],"about_ca_topic_score_codex":0.97913945,"about_ca_topic_score_gemma":0.980529,"teacher_disagreement_score":0.036520116,"about_ca_system_score_codex":0.036520116,"about_ca_system_score_gemma":0.03219306,"threshold_uncertainty_score":0.26497322},"labels":[],"label_agreement":null},{"id":"W837002899","doi":"","title":"Is Pakistani Equity Market Integrated to the Equity Markets of Group of Eight (G8) Countries? A n Empirical Analysis of Karachi Stock Exchange","year":2012,"lang":"en","type":"article","venue":"The Romanian Economic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Variance decomposition of forecast errors; Economics; Granger causality; Equity risk; Financial economics; Equity capital markets; Stock market; Stock exchange; Cointegration; Monetary economics; Valuation (finance); Econometrics; Geography; Finance; Political science","score_opus":0.06659573901381287,"score_gpt":0.3083884818379745,"score_spread":0.24179274282416163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W837002899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99798465,0.00015006859,0.00008089566,0.0000957769,0.0000026320959,0.000005042241,0.000079659185,0.0000023865996,0.0015987795],"genre_scores_gemma":[0.99957556,0.00009645201,0.00002871015,0.000014217666,0.000006727328,0.0000015666355,0.00011142947,6.3208995e-7,0.00016484565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972993,0.000033794127,0.000019002164,0.000060361806,0.00004986162,0.00010708322],"domain_scores_gemma":[0.9984231,0.00041379945,0.000712642,0.000081699,0.0001681698,0.00020056489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034630462,0.00019330716,0.00030432217,0.0011579329,0.00036568064,0.0014841881,0.0002894182,0.00041526608,0.003829699],"category_scores_gemma":[0.0018518161,0.00018271348,0.00036187452,0.0015594133,0.00058582774,0.0015966333,0.00068882696,0.00051668164,0.00035776326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009050832,0.000056181707,0.98578393,0.000027485585,0.000106494546,0.0007382679,0.0005613145,0.0006206558,0.00036184344,0.0015617816,0.00040578973,0.009685645],"study_design_scores_gemma":[0.00001343485,0.000054769327,0.99247026,0.000019897881,0.00006375027,0.00031753982,0.001715012,0.0034599586,0.00018468332,0.0005446859,0.0011476268,0.000008349656],"about_ca_topic_score_codex":0.014220534,"about_ca_topic_score_gemma":0.009569016,"teacher_disagreement_score":0.014220534,"about_ca_system_score_codex":0.00045675455,"about_ca_system_score_gemma":0.00063765235,"threshold_uncertainty_score":0.02827555},"labels":[],"label_agreement":null},{"id":"W84114087","doi":"10.2139/ssrn.2492506","title":"Trading Cost Dynamics of Market Making in Equity Options","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Equity (law); Financial economics; Business; Economics; Political science","score_opus":0.02594186757317391,"score_gpt":0.25053934097947583,"score_spread":0.22459747340630193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W84114087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770005,0.00029743294,0.010506228,0.0011388975,0.000028737537,0.000020346371,0.00014084564,0.000050918366,0.0108160535],"genre_scores_gemma":[0.9961832,0.00008125143,0.00078991207,0.000021557244,0.000012671291,0.0000071226955,0.000037765723,0.0000134705615,0.0028529828],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964726,0.00010034609,0.000019087296,0.00004844079,0.00008249098,0.00010243949],"domain_scores_gemma":[0.98670214,0.010166902,0.0013222375,0.00042520405,0.0005369676,0.0008466356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014030507,0.00027168097,0.0007050195,0.0007017219,0.0005629752,0.002802755,0.001015536,0.0015301672,0.011464846],"category_scores_gemma":[0.023273246,0.00054508983,0.0004623653,0.00049783237,0.001081962,0.0039733434,0.0008469885,0.0019521083,0.0004039482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009807717,0.0004092475,0.0149134835,0.00018202816,0.00009019559,0.0010235525,0.0008975801,0.29536545,0.011091729,0.6409504,0.0046134074,0.029482165],"study_design_scores_gemma":[0.00006682827,0.00007596672,0.012177817,0.000020118525,0.000034002194,0.00017515279,0.0003586944,0.77291405,0.00094118796,0.21264486,0.0005345556,0.0000567557],"about_ca_topic_score_codex":0.0034751876,"about_ca_topic_score_gemma":0.003557737,"teacher_disagreement_score":0.011464846,"about_ca_system_score_codex":0.0011573056,"about_ca_system_score_gemma":0.00060469675,"threshold_uncertainty_score":0.03835368},"labels":[],"label_agreement":null},{"id":"W849620233","doi":"10.2139/ssrn.2478550","title":"Is the Cross-Section of Expected Bond Returns Influenced by Equity Return Predictors?","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bond; Equity (law); Corporate bond; Volatility (finance); Profitability index; Monetary economics; Economics; Financial economics; Business; Econometrics; Finance","score_opus":0.031189871217991202,"score_gpt":0.2642332537289069,"score_spread":0.23304338251091566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W849620233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994612,0.0006573644,0.001442793,0.0009326816,0.00006741256,0.000011851718,0.0005548885,0.00004038704,0.0016805329],"genre_scores_gemma":[0.99785787,0.00025543498,0.00014378827,0.00015614367,0.00008825215,0.0000066921566,0.0005483867,0.00002450281,0.00091889885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974088,0.0012666075,0.0001499654,0.00062854774,0.00017317501,0.00037300892],"domain_scores_gemma":[0.93264735,0.04670708,0.009285864,0.006792365,0.0014936741,0.0030736204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008861102,0.00053214683,0.0012079006,0.0010401411,0.0005480141,0.0028527216,0.0015354202,0.0027511287,0.009402538],"category_scores_gemma":[0.026318189,0.00087253057,0.001989865,0.0013899668,0.001337641,0.0018785442,0.0010438786,0.0025003573,0.0033956636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002391053,0.000098347846,0.99309784,0.000013016857,0.0006241853,0.00010769964,0.000113613634,0.00066997693,0.00031547484,0.0002994277,0.0003812462,0.0040400964],"study_design_scores_gemma":[0.00001721636,0.00010680012,0.9941064,0.000014573538,0.00027023227,0.00012037705,0.00014498243,0.0034730474,0.00022943984,0.0011210262,0.0003792953,0.000016538315],"about_ca_topic_score_codex":0.005962256,"about_ca_topic_score_gemma":0.003857701,"teacher_disagreement_score":0.009402538,"about_ca_system_score_codex":0.0002679614,"about_ca_system_score_gemma":0.00048429065,"threshold_uncertainty_score":0.046862602},"labels":[],"label_agreement":null},{"id":"W868470739","doi":"","title":"The Relative Importance of Investment Policy and Active Management in Explaining Canadian Mutual Fund Return Variations and Performance","year":2014,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment management; Equity (law); Manager of managers fund; Investment strategy; Index fund; Mutual fund; Active management; Investment fund; Investment performance; Investment policy; Target date fund; Economics; Management fee; Rate of return; Business; Fund administration; Open-end fund; Return on investment; Finance; Project portfolio management; Institutional investor; Microeconomics; Incentive; Political science; Corporate governance","score_opus":0.03312504045346828,"score_gpt":0.24941960382744033,"score_spread":0.21629456337397204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W868470739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986649,0.0010958312,0.0007436491,0.0015610321,0.00001600879,0.000022473181,0.0012374918,0.000023700219,0.008650731],"genre_scores_gemma":[0.9968129,0.00032956066,0.00031607365,0.00004254759,0.000012840792,0.0000054558013,0.00074898364,0.000006306331,0.0017253456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911433,0.00006672389,0.000046802445,0.00011507138,0.0003933548,0.00026362142],"domain_scores_gemma":[0.99325645,0.0017439931,0.0021654116,0.000328377,0.0016401041,0.00086556387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022963523,0.00025680533,0.00031229947,0.00148102,0.001078844,0.0025665078,0.00075719086,0.00050420593,0.0016853879],"category_scores_gemma":[0.0143663315,0.00014642067,0.00039855659,0.0018264845,0.00066801097,0.00085354777,0.0008919074,0.00086772215,0.00019337646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011835842,0.000035298668,0.94980407,0.000051609168,0.00012064656,0.00014592124,0.0010124394,0.006886032,0.0005343434,0.0054554306,0.0026835555,0.033152297],"study_design_scores_gemma":[0.0000067268975,0.000020176105,0.98379886,0.000044039505,0.000059307993,0.000029782992,0.0008839718,0.007828879,0.00030440773,0.00090315426,0.006100351,0.000020340089],"about_ca_topic_score_codex":0.90277785,"about_ca_topic_score_gemma":0.93365186,"teacher_disagreement_score":0.09722215,"about_ca_system_score_codex":0.014853033,"about_ca_system_score_gemma":0.014181475,"threshold_uncertainty_score":0.19558936},"labels":[],"label_agreement":null},{"id":"W8843402","doi":"10.2139/ssrn.2320123","title":"Gaussian Term Structure Models and Bond Risk Premia","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Term (time); Affine term structure model; Bond; Risk premium; Gaussian; Econometrics; Economics; Financial economics; Business; Actuarial science; Yield curve; Finance; Physics","score_opus":0.009458104130892287,"score_gpt":0.18623176427615196,"score_spread":0.17677366014525966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W8843402","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4222791,0.005968153,0.5513876,0.007848929,0.00041874225,0.00006673914,0.00082617905,0.00061374804,0.010590841],"genre_scores_gemma":[0.96660364,0.0036451742,0.011836604,0.00034949998,0.00040134197,0.00006284831,0.0005340826,0.0001439875,0.016422765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992544,0.0003035436,0.000034696473,0.00013646937,0.0001333883,0.00013753578],"domain_scores_gemma":[0.98804945,0.0077368794,0.0020962765,0.0006742481,0.0008419044,0.0006011981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046172338,0.00096864987,0.0015953736,0.001635219,0.0006549225,0.0031447727,0.0018928132,0.0036136126,0.0040365704],"category_scores_gemma":[0.021201797,0.00082956074,0.0009647264,0.0018904364,0.0019533127,0.0047767092,0.0012367965,0.0031851046,0.00094809907],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011406532,0.00008035039,0.004525755,0.00006390983,0.00011624098,0.00016490354,0.00022363894,0.16886598,0.00057274173,0.8103886,0.0044880547,0.010395655],"study_design_scores_gemma":[0.00003516799,0.000027422366,0.0015754408,0.000020263224,0.000041876046,0.00006375192,0.00004299079,0.5205728,0.000120348464,0.4765982,0.000864073,0.00003764184],"about_ca_topic_score_codex":0.0072200107,"about_ca_topic_score_gemma":0.005551225,"teacher_disagreement_score":0.0072200107,"about_ca_system_score_codex":0.0013059307,"about_ca_system_score_gemma":0.0010088678,"threshold_uncertainty_score":0.024418533},"labels":[],"label_agreement":null},{"id":"W890093932","doi":"10.2139/ssrn.2201201","title":"Information Shockwave","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Earnings; Post-earnings-announcement drift; Econometrics; Economics; Financial economics; Actuarial science; Accounting; Earnings response coefficient","score_opus":0.009603779887427631,"score_gpt":0.17940298384296072,"score_spread":0.16979920395553308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W890093932","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13202289,0.004294061,0.14704256,0.019051312,0.0102571435,0.0005606213,0.012430832,0.006732848,0.6676078],"genre_scores_gemma":[0.62467784,0.0027004974,0.008302125,0.0038519576,0.001814578,0.00013460548,0.0053734393,0.00031619152,0.35282883],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997503,0.000020494013,0.000011544221,0.000043874647,0.00011213608,0.000061554],"domain_scores_gemma":[0.999089,0.00024559925,0.000092434624,0.00019906863,0.00027096685,0.00010290373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031819212,0.0004352763,0.00026842885,0.0010632414,0.000485888,0.0019976462,0.0004239862,0.0015315638,0.08148126],"category_scores_gemma":[0.002783432,0.00019907186,0.00030229308,0.0012023613,0.00030886146,0.0015608029,0.000862849,0.0012091357,0.017735261],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009732049,0.00023550425,0.004604967,0.0002607083,0.00006981185,0.0013601109,0.00031459244,0.0065345773,0.014837792,0.18800135,0.3470327,0.43577465],"study_design_scores_gemma":[0.0002669673,0.00046109033,0.029220704,0.00028876844,0.0001227178,0.002128106,0.00057756907,0.0709437,0.024964957,0.21523416,0.6556351,0.00015614358],"about_ca_topic_score_codex":0.0012275688,"about_ca_topic_score_gemma":0.00075645774,"teacher_disagreement_score":0.08148126,"about_ca_system_score_codex":0.0006218718,"about_ca_system_score_gemma":0.00040929328,"threshold_uncertainty_score":0.272582},"labels":[],"label_agreement":null},{"id":"W945147617","doi":"","title":"The Psychology of Financial Crises","year":2011,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cognitive dissonance; Irrational number; Economics; Behavioral economics; Positive economics; Rational expectations; Financial crisis; Cognition; Psychology; Keynesian economics; Finance; Social psychology","score_opus":0.06975952520883409,"score_gpt":0.25358097393562784,"score_spread":0.18382144872679373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W945147617","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14498176,0.06447507,0.015173692,0.29515165,0.00205106,0.00006312332,0.00025189703,0.00014067432,0.4777111],"genre_scores_gemma":[0.9716177,0.012378298,0.00083395414,0.0114073,0.00092961936,0.00003244025,0.000032495052,0.00001887418,0.0027491907],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991209,0.00059754826,0.000017546914,0.00006791147,0.0001138853,0.000082239996],"domain_scores_gemma":[0.9969598,0.0020669878,0.0003666462,0.000107312895,0.0002109859,0.0002882832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015114875,0.00021271934,0.00020278229,0.00089144486,0.0011817322,0.0028694621,0.0003388762,0.0023431557,0.0034050583],"category_scores_gemma":[0.0065881177,0.00013190645,0.00015175437,0.0006792607,0.010482497,0.0037538118,0.0013355616,0.0024789164,0.00026110615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007800155,0.00007924252,0.0038526487,0.00020459271,0.000035094003,0.00025586752,0.01286311,0.0014103804,0.0004999816,0.8979484,0.03479224,0.047980417],"study_design_scores_gemma":[0.000032032534,0.00004526108,0.007064209,0.00016796049,0.000010024382,0.00026718702,0.0074557755,0.00066066225,0.00005949894,0.91811055,0.06610047,0.000026431997],"about_ca_topic_score_codex":0.0021428638,"about_ca_topic_score_gemma":0.0011183688,"teacher_disagreement_score":0.0034050583,"about_ca_system_score_codex":0.0018298738,"about_ca_system_score_gemma":0.0011781792,"threshold_uncertainty_score":0.013276756},"labels":[],"label_agreement":null},{"id":"W963794255","doi":"","title":"Analyst Forecast Dispersion and Future Stock Return Volatility","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Wilfrid Laurier University","funders":"","keywords":"Volatility (finance); Econometrics; Financial economics; Volatility swap; Economics; Implied volatility; Dispersion (optics); Forward volatility; Earnings; Portfolio; Volatility smile; Business; Finance","score_opus":0.009471294524914686,"score_gpt":0.19009015296918638,"score_spread":0.1806188584442717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W963794255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969669,0.0005097729,0.00079386256,0.00015390014,0.000009155099,0.0000021165506,0.00037018463,0.000015091415,0.0011790389],"genre_scores_gemma":[0.9991875,0.0001477344,0.00016932485,0.0000068957074,0.000021399843,0.0000010973966,0.0003076088,0.0000016580549,0.00015673137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960834,0.000066688415,0.000050714665,0.000066598805,0.00017156223,0.00003600975],"domain_scores_gemma":[0.98026294,0.008310913,0.009439709,0.00053666375,0.0010718489,0.00037805998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009098831,0.0001625207,0.00020744234,0.0014065673,0.00012179783,0.00084316236,0.00016053373,0.00035837226,0.0011493181],"category_scores_gemma":[0.014044111,0.00011436881,0.00018706736,0.0010805046,0.00014565855,0.00083498284,0.00031449314,0.00041054084,0.0002261416],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007624937,0.000019801275,0.98569447,0.000016472068,0.00011128964,0.00007506522,0.0001985635,0.0028360283,0.00045782857,0.00044528255,0.0002914767,0.009777387],"study_design_scores_gemma":[0.0000044812123,0.00004131124,0.99022686,0.0000155369,0.000037954655,0.00018792813,0.00012734227,0.006980446,0.00043582107,0.0012076317,0.0007189917,0.00001560003],"about_ca_topic_score_codex":0.0031382036,"about_ca_topic_score_gemma":0.0035340555,"teacher_disagreement_score":0.0031382036,"about_ca_system_score_codex":0.00028279444,"about_ca_system_score_gemma":0.00017732853,"threshold_uncertainty_score":0.006239891},"labels":[],"label_agreement":null},{"id":"W99060869","doi":"","title":"Liquidity Externalities of Convertible Bond Issuance in Canada","year":2010,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convertible bond; Business; Convertible; Bond; Market liquidity; Externality; Convertible arbitrage; Finance; Financial system; Economics; Capital asset pricing model","score_opus":0.016130008314698414,"score_gpt":0.17714513934749562,"score_spread":0.16101513103279722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W99060869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99532557,0.00036646854,0.00005597584,0.00047959405,0.0000047003937,0.000007882932,0.00088327395,0.000010889136,0.0028656132],"genre_scores_gemma":[0.9984156,0.00016260018,0.00004219895,0.000028029452,0.000003754876,0.0000016862108,0.00053399376,0.000002419489,0.000809683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992489,0.000044361648,0.000032901484,0.00007895998,0.00032698023,0.00026783906],"domain_scores_gemma":[0.9959371,0.00055206416,0.0012602105,0.00008988312,0.0015756553,0.0005850656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066737394,0.00017347233,0.0002785627,0.0012524388,0.0013850683,0.0021231167,0.00063607993,0.00039785868,0.0024657957],"category_scores_gemma":[0.005850626,0.00015326455,0.00030507887,0.0023808596,0.0006754349,0.00053168647,0.0008631829,0.0008042625,0.0001194151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042104104,0.00007855082,0.97276163,0.00003160655,0.00007285397,0.0005915156,0.0011792729,0.0037686937,0.00095571263,0.0025517978,0.002070097,0.015517296],"study_design_scores_gemma":[0.000014628894,0.000027660288,0.9934557,0.000012999872,0.000024920044,0.000060613864,0.001038622,0.0026284454,0.00039799887,0.00016449645,0.0021509358,0.00002290878],"about_ca_topic_score_codex":0.9858526,"about_ca_topic_score_gemma":0.9877999,"teacher_disagreement_score":0.023913303,"about_ca_system_score_codex":0.023913303,"about_ca_system_score_gemma":0.019212592,"threshold_uncertainty_score":0.17350394},"labels":[],"label_agreement":null},{"id":"W992836683","doi":"10.1007/978-3-642-57497-9_19","title":"Is the Warsaw Stock Exchange Mature Enough to Analyse the Returns by the Models Known on the Developed Markets?","year":2002,"lang":"en","type":"book-chapter","venue":"Contributions to economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Financial economics; Stock (firearms); Stock exchange; Economics; Business; Geography; Finance","score_opus":0.05408933221347951,"score_gpt":0.23183085027541472,"score_spread":0.17774151806193522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W992836683","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14223744,0.22570638,0.31023762,0.043238636,0.008057058,0.00047020978,0.011738948,0.0017863183,0.2565274],"genre_scores_gemma":[0.61995846,0.17493364,0.092544794,0.003915226,0.0065380223,0.00047862416,0.015264703,0.0004258127,0.08594079],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995474,0.000118072785,0.00003641599,0.00006230621,0.00018857581,0.00004704142],"domain_scores_gemma":[0.99912053,0.00031251155,0.00016723582,0.00017019517,0.00017265475,0.00005680971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015442565,0.0009784782,0.0010815241,0.0017489193,0.00027137497,0.003312632,0.0008853842,0.0011210894,0.0057852957],"category_scores_gemma":[0.004856279,0.0003192733,0.0004720377,0.0025330586,0.0005098648,0.006413671,0.00086340785,0.0014740061,0.0033972547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021306146,0.0001668251,0.018685194,0.00057105545,0.0003254558,0.00027705813,0.00020824521,0.018249372,0.00066300505,0.36459374,0.113914266,0.48213267],"study_design_scores_gemma":[0.00008959735,0.000119308694,0.017629633,0.00051306817,0.00009764679,0.00051599514,0.0003500808,0.14219993,0.0010829713,0.37652633,0.46078923,0.00008626442],"about_ca_topic_score_codex":0.0029759307,"about_ca_topic_score_gemma":0.0022484942,"teacher_disagreement_score":0.0057852957,"about_ca_system_score_codex":0.0006955811,"about_ca_system_score_gemma":0.00072964205,"threshold_uncertainty_score":0.019353688},"labels":[],"label_agreement":null}]}